Concepts: B

Ideas, aesthetics, movements, and abstractions named in the archive. This section collects the B slice of the category index.

Reference Index

Use the title to open the reference entry. Use the caret to expand a compact inline dossier with source context, issue trail, related pages, and outbound links.

Bitcoin

Bitcoin is a recurring concept in the Astral Codex Ten archive, appearing 26 times across 26 issues between January 21, 2021 and January 13, 2026. The archive places it in contexts such as "people being able to invent Bitcoin scot-free"; "Bitcoin is above $5,000"; "Bitcoin above 100K". It most often appears alongside Google, Twitter, Elon Musk.

Article page
Bitcoin
Mention count
26
Issue count
26
First seen
January 21, 2021
Last seen
January 13, 2026
January 21, 2021 · Original source
With all due respect to these reporters, and with complete admission of my own bias, I reject this entire way of looking at things. If someone wants to report that I'm a 30-something psychiatrist who lives in Oakland, California, that's fine, I've had it in my About page for years. If some reporter wants to investigate and confirm, I have some suggestions for how they could use their time better - isn't there still a war in Yemen? - but I'm not going to complain too loudly. But I don't think whatever claim the public has on me includes a right to know my name if I don't want them to. I don't think the public needs to know the name of the cops who write cop blogs, or the deadnames of trans people, or the dating lives of sexy cyborgs. I'm not even sure the public needs to know the name of Satoshi Nakamoto. If he isn't harming anyone, let him have his anonymity! I would rather we get whatever pathologies come from people being able to invent Bitcoin scot-free, than get whatever pathologies come from anyone being allowed to dox anyone else if they can argue that person is "influential". Most people don't start out trying to be influential. They just have a Tumblr or a LiveJournal or something, and a few people read it, and then a few more people read it, and bam! - they're influential! If influence takes away your protection, then none of us are safe - not the random grad student with a Twitter account making fun of bad science, not the teenager with a sex Tumblr, not the aspiring fashionista with an Instagram. I've read lots of interesting discussion on how much power tech oligarchs should or shouldn't be allowed to have. But this is the first time I've seen someone suggest their powers should include a magic privacy-destroying gaze, where just by looking at someone they can transform them into a different kind of citizen with fewer rights. Is Paul Graham some weird kind of basilisk, such that anyone he stares at too long turns into fair game?
April 05, 2021 · Original source
ECON AND TECH: 37. Dow is above 25,000: 70% 38. …above 30,000: 20% 39. Bitcoin is above $5,000: 70% 40. …above $10,000: 20% 41. I have bought a Surface Book 3 laptop: 60% 42. Crew Dragon reaches orbit: 80% 43. Starship reaches orbit: 40%
April 26, 2021 · Original source
ECON/TECH 14. Gamestop stock price still above $100: 50% 15. Bitcoin above 100K: 40% 16. Ethereum above 5K: 50% 17. Ethereum above 0.05 BTC: 70% 18. Dow above 35K: 90% 19. ...above 37.5K: 70% 20. Unemployment above 5%: 40% 21. Google widely allows remote work, no questions asked: 20% 22. Starship reaches orbit: 60%
May 10, 2021 · Original source
Intellectual trends follow the laws of fashion. This isn't to say there's no underlying truth about which claims are right and important - just that some fields are "cool" at any given moment and others are "uncool". If you wanted to sound cool on Reddit ten years ago, you talked about atheism, Ron Paul, and the RIAA; five years ago, it would have been Bitcoin, Jordan Peterson, and "Drumpf" (I'm not cool enough to know what's cool today, sorry). Some of these trends seem to mirror obvious real-world changes in importance - distributors found better ways to sell media for affordable prices, so the RIAA has mostly left public consciousness. But they were broader than the change alone could explain - a moderate improvement in music distribution meant switching from talking about the RIAA all the time to basically not at all.
August 06, 2021 · Original source
My personal estimates are more like 75% chance, 25% chance, and a distribution that peaks about 20 years later than this one. I think the Metaculus position is consistent with all of “this probably won’t happen”, “THIS IS SUPER-TERRIFYING”, “this is most likely far away”, and “BUT FOR ALL WE KNOW IT COULD BE TOMORROW!” I realize this is an annoying way for things to be. ————————————————— CraigMichael writes: >But all the AI regulation in the world won’t help us unless we humans resist the urge to spread misinformation to maximize clicks. Was with you up to this point. There are several solutions to this other than willpower (resisting the urge). The basic idea - change incentives so that while spreading misinformation is possible but substantially less desirable/lucrative than other options for online behaviors. This isn’t so hard to imagine. Say there’s a lot of incentives to earn money online doing creative or useful things. Like Mechanical Turk, but less route behavior and more performing a service or matching needs. Like I wish I had a help desk for English questions where the answers were good and not people posturing to look good to other people on the English Stack Exchange, for example. I would pay them per call or per minute or whatever. Totally unexplored market AFAIK because technology hasn’t been developed yet. Another idea - Give people more options to pay at an article-level for information that’s useful to them or to have related questions answered or something like that without needing a subscription or a bundle. Say there’s some article about anything and I want to contact the author and be like “hey, here’s a related question, I’m willing to offer you X dollars to answer.” The person says “I’ll do it for x+10 dollars.” One site used to unlock articles to the public after a threshold of Bitcoin have been donated on a PPV basis. It both incentives the author and had a positive externality. Everyone is so invested in ads that they don’t work on technology and ideas to create new markets. To paraphrase Jaron Lanier we need to make technology so good it seduces away from destroying ourselves. Partly I want to complain that obviously I was using the quoted sentence as a rhetorical device. But I guess the whole point of that sentence and its paragraph was to argue against saying false things as a rhetorical device, so - hoist on my own petard, I guess. I’m less optimistic than Craig is about this solution, because it seems to me that socially virtuous technology will always be less fun/addictive than nonvirtuous technology, simply because the virtuous technology has to hit two targets (virtuous, fun/addictive), the nonvirtuous technology only has to hit one target, and it’s easier to optimize for a target with zero other constraints than with one other constraint. See eg Meditations on Moloch. ————————————————— Souf asks: Is there a convincing argument that AGI is possible within any reasonable timeframe (like... 50 years), other than the intuitions of esteemed AI researchers? Do they have any way to back up their estimates (of some tens of percent), and why they shouldn't be millionths of a percent? It is, as another poster said, an "extraordinary claim." I'd like to see some extraordinary support of those particular numbers. If I had to answer this question, I would point to the sorts of work AI Impacts does, where they try to estimate how capable computers were in 1980, 1990, etc, draw a line to represent the speed at which computers are becoming more capable, figure out where humans are at the same metric, and check the time when that line crosses however capable you’ve decided humans are. This is obviously really hard because you have to operationalize some definition of “capable” or “intelligent” or some other word that is hard to operationalize, but when you do it you usually get sometime in the mid-21st century. You’re going to point out that this argument doesn’t really qualify as “convincing”. I admit it doesn’t meet trial-by-jury standards of evidence. So I guess my real answer would be “it’s the #$@&ing prior”. Like, you certainly don’t have knock-down evidence that it’s impossible, I don’t have a knock-down evidence that it’s certain, so it might happen and it might not. How “might” are we talking? I don’t know, it would seem weird if this quickly-advancing technology being researched by incredibly smart people with billions of dollars in research funding from lots of megacorporations just reached some point and then stopped. Okay, fine, maybe it will keep advancing at the same rate, how fast is that in terms of time-to-AGI? Now we’re back at AI Impacts drawing lines again. The stupidest possible prior is always 50-50. We would have to be very stupid people to use the stupidest possible prior. But here we are. I wouldn’t want to give a 50-50 chance of us inventing FTL travel by 2100, because FTL travel seems physically impossible. I wouldn’t want to give a 50-50 chance of us inventing slower-than-light-but-still-pretty-good starships by 2100, because, I dunno, space travel isn’t advancing that fast and nobody is really working on it that hard. For AI, I don’t know, I kinda want to say 50-50. If I were going to try to update away from 50-50, I would want to look at AI Impacts style line graphs, expert opinion, and prediction markets. All of those seem to make me update up instead of down, so I don’t think I would go lower than 50-50. But there’s enough Knightian uncertainty to make an entire Round Table here, so who knows? Hardly a “convincing” argument, but I’m just trying to avoid the McAfee Fallacy: ————————————————— Souf continues: The argument that we are "in the middle of a period of extremely rapid progress in AI research, when barrier after barrier is being breached" makes it seem like all AI "progress" is on some sort of line that ends in AGI. That feels like sleight-of-hand. Even Scott himself refers to AGI here as a "new class of actor," so I'm failing to see how current lines of "progress" will indubitably result the emergence of something completely novel and different? Lots of smart people disagree with me on this one, but I think the path from here to AGI is pretty straight. I mean, it will take thousands of people who are all much smarter than I am to do it, but it’ll happen. My argument is something like - human brains are remarkably similar to rat brains, only much bigger. They’re still a little similar to insect brains. It looks like if you have a basic functioning brain, and you scale it up, it gets human intelligence. Existing AIs like AlphaGo or GPT seem to be basically a blob of learning-ability, a plan for pointing the blob at a specific problem, and lots and lots of training data. I think the past five years have shown that this basic model generalizes really well. OpenAI’s programs can now write essays, compose music, and generate pictures, not because they had three parallel amazing teams working on writing/music/art AIs, but because they took a blob of learning ability and figured out how to direct it at writing/music/art, and they were able to get giant digital corpuses of text / music / pictures to train it. DeepMind is finding that it can win lots of games, from Go to StarCraft to obstacle courses in simulated environments, by pointing a blob of learning-ability at the game and making it play against itself a zillion times (ie generate its own training data). My impression is that human/rat/insect brains are a blob of learning-ability which the rest of the nervous system successfully points at the world, and especially at aspects of the world that the organism needs to pay attention to (eg food sources, sex, etc). This isn’t exactly right, there are a few genetically-encoded programs, but not that many and it’s pretty hard. Right now I think our main advantages over AI systems are something like: our nervous system is pretty good at pointing us at the world and extracting training data from it. If you wanted an AI that learned being-in-the-world skills as well as we do, it would have to have an amazing robot body, and right now robot bodies aren’t that amazing.
August 25, 2021 · Original source
Check the sources for explanations of how I calculated some of these. Lbs CO2 is self-explanatory - except that in a few cases, especially those involving beef, it also includes other greenhouse gases, converted to CO2 at equivalent levels of global warming contribution. Avg US person-years is what fraction of the average American's yearly carbon emissions that much CO2 represents. So for example 0.25 means it's one-quarter of the average American's yearly emissions, and 50 means it emits 50 times as much CO2 as the average American. $ offset is how much money it would cost to offset that much carbon, by eg planting trees. Offset cost is controversial, so I've included two numbers - optimistic and pessimistic. “Optimistic” is closest to the existing consensus, and is the price at which most companies will sell you offsets. I took Native Energy's $15/ton as my guide, but there are lots of places with more or less the same price. They usually work by paying people in Third World countries not to cut down trees; since trees remove carbon from the atmosphere, this ought to offset emissions. But there are a lot of ways this can go wrong. The Third World people can accept the money, then cut down the trees anyway. Or they can take money for not cutting down trees that they never intended to cut down. Or they can take money from multiple people for not cutting down the same tree. Or they can lie and there were never any trees at all. Offset companies try to watch for these failure modes, but a lot of people are skeptical. Also, even when this represents the true price of offsetting the marginal unit of carbon, it might not scale. You will run out of trees to protect long before you run out of carbon to offset. “Pessimistic” comes from Climeworks, a company that builds giant reverse-factories which take carbon out of the air. If you’re maximally skeptical about any charity's ability to offset CO2, these are the people for you - they can literally hand you a bottle full of the carbon they removed, so you don't need to take anything on faith. But they charge as much as $1000/ton (I think other places charge less, more like $250-500/ton, but they’re still kind of experimental and you personally cannot buy offsets there). You’ll notice there’s more than a whole order of magnitude between the optimistic and pessimistic estimates - welcome to climate economics. Cost or value is kind of hand-wavey. For some things, it's the price of the item - for example, for "train trip LA -> NYC", it's the cost of a cross-country train ticket; for "eat a cheeseburger", it's the price of a Quarter Pounder at McDonalds. Other times it's about making money - for "mine one Bitcoin", it's the value of one Bitcoin (which may be wildly different now than when I wrote this, sorry). For corporations, it's their yearly revenue; for countries, it's their yearly GDP. This isn't very principled and I'm sorry. I included this so I could calculate the %Cost statistic below. %Cost is what percent of the cost/value of something it would take to offset its carbon (I used the geometric mean of the optimistic and pessimistic offset estimates for this, so a little over $100/ton; people could reasonably complain that if you believe normal offsets work, these numbers are all an order of magnitude too pessimistic). A lower number is “better”. If something’s %Cost is 10, it means that it would take 10% of the cost of item to offset the carbon produced. I gave various things whose cost is entirely based on electricity a %Cost of 45, which is the general %Cost of electricity - it will be less in places with more renewables, and higher in places with more fossil fuels. Some of these numbers are kind of arbitrary, and the whole category has weird implications - for example, if the airline company doubled the price of every ticket, their %Cost would go down, and they would look more carbon-efficient. I wouldn't make too much out of these numbers, and I’ve left them in grey to emphasize this. Sources are listed at the bottom of this post. This table can’t tell you what your ethical duties are. I'm concerned it will make some people feel like whatever they do is just a drop in the bucket - all you have to do is spend 11,000 hours without air conditioning, and you'll have saved the same amount of carbon an F-35 burns on one airstrike! But I think the most important thing it could convince you of is that if you were previously planning on letting yourself be miserable to save carbon, you should buy carbon offsets instead. Instead of boiling yourself alive all summer, spend between $0.04 and $2.50 an hour to offset your air conditioning use. But you may not want to literally offset your carbon. I use “offset” here to mean a donation that removes a linear and quantifiable amount of carbon from the atmosphere per dollar. But this is probably a less effective use of money than donating the same amount to a generic anti-climate-change charity. Clean Air Task Force is the one I’ve heard a lot of smart people recommend, though I also donate to speculative carbon removal work like Project Vesta. Depending on your philosophy of what offsetting means and when it’s acceptable, you might want to calculate how much it would take to offset your carbon use, then donate it somewhere else instead. What are the responsibilities of an ordinary citizen facing the threat of climate change? I support light yokes; if I had to advise people based on what I learned making this table, I would suggest: Try to stay informed.
8. https://www.buybitcoinworldwide.com/how-many-bitcoins-are-there/, https://www.vox.com/2019/6/18/18642645/bitcoin-energy-price-renewable-china . Like everything else that uses electricity, this is much worse in areas that use fossil fuels and much better in areas that use renewables.
I’d originally included a line for the carbon price of a single Bitcoin transaction, but this was too controversial and philosophically complicated. Individual Bitcoin transactions don’t themselves release carbon, but the Bitcoin network as a whole does, and it exists to support transactions, so in theory you can divide the network cost by the number of transactions to get a per-transaction carbon number, which is something like 1,000 lbs - half the emission cost of a cross-country flight. But many Bitcoin users now use something called the Lightning Network, which is different from the regular blockchain and doesn’t consume much more carbon than other Internet transactions. So one way to look at this is that on-chain transactions are carbon-expensive, and Lightning transactions are cheap. But since neither of them actually costs carbon, I felt weird asserting this, and I just dropped the whole category.
December 06, 2021 · Original source
These are still preliminary; this person argues that the Nationalists might pick up a few more seats as more conservative rural areas get counted. Liberty and Refoundation (the socialists) will probably enter into a coalition with the Savior Party and have 65/128 seats for a bare majority. They need 86 votes for a 2/3 majority, which in theory they can get if the Liberal Party agrees. The Liberal Party seems centrist and hard to pin down, but this article includes the following great quote: “The Liberal Party opposes the ZEDEs because, above all, they undercut our national sovereignty, and because we don’t want them to become hideouts for extraditable criminals,” said [Liberal Party leader Yani] Rosenthal, who served a three-year prison sentence in the United States for money laundering and participating in a criminal scheme with the Los Cachiros cartel. Rosenthal kind of goes back and forth elsewhere, but in the end I think he’ll vote with the socialists on this. Still, there’s some speculation that his party might not vote as a bloc, and even a few defectors would be enough to prevent a supermajority. In theory, even if the socialists win two consecutive votes, they have to give the projects ten years to wind down. Ten years is forever in politics, and probably before then the capitalists will get back into power and say never mind, everyone can keep doing what they’re doing. The socialists are aware of this and say that their supplementary strategy is to have everything about the ZEDE law declared unconstitutional. This should be a hard sell, because ZEDEs are a constitutional amendment, plus the current Supreme Court explicitly ruled a few years ago that they were constitutional. But apparently the Honduran Supreme Court can declare constitutional amendments unconstitutional if it really wants. And the new government will get to appoint a new Supreme Court in two years, and although the exact process is complicated, they may be able to get people who agree with them on this. Also, incoming president Castro is married to Manuel Zelaya, a former president who tried to pull an Andrew Jackson after the Supreme Court ordered him to stop holding an illegal referendum to change term limits in his favor. He ordered the military to hold the referendum anyway, and was only ousted after the military couped him instead. So this is not exactly a family known for their deep respect for the exact wordings of laws or court rulings (not that anyone in Honduras has really excelled on that front). See further speculation eg here and here. And here’s Mark Lutter from Charter Cities Institute on the elections and the future. Conchagua Volcano, El Salvador Meanwhile, insane El Salvadorean president Nayib Bukele says he is ordering the construction of a coin-shaped city dedicated to Bitcoin at the base of a stratovolcano: "Residential areas, commercial areas, services, museums, entertainment, bars, restaurants, airport, port, rail - everything devoted to Bitcoin," the 40-year-old said. And: The president, who appeared on stage wearing a baseball cap backwards, said that no income taxes would be levied in the city, only value added tax (VAT). He said that half of the revenue gained from this would be used to "to build up the city", while the rest would be used to keep the streets "neat and clean" […] Mr Bukele did not provide dates for construction or completion of the city, but said he estimated that much of the public infrastructure would cost around 300,000 Bitcoins. It’s tempting to dismiss this plan as crazy. First, this photo: Second, Bitcoin miners don’t want a city the shape of a Bitcoin with a central plaza in the shape of a Bitcoin logo. They want cheap electricity. Bukele has promised that there will be cheap geothermal power from the volcano, which sounds good, but this article says El Salvador’s existing geothermal energy costs about 12 cents/kilowatt-hour, much higher than the 4 cents/megawatt-hour miners can get in the current cheapest areas. Maybe El Salvador could do a really good job upgrading their energy infrastructure, but at some point you’re subsidizing this rather than using it as a cash cow. And third, this isn’t even the stupidest plan to build a cryptocurrency-themed city in the Third World. That arguably goes to Akon City, a thing where a pop singer named Akon was going to build a cryptocurrency city in Senegal. Now, without any construction having started, they’re planning to build a second one in Uganda! All competing for the same handful of crypto companies! But I looked into Bukele to see if he was a moron with a habit of coming up with terrible ideas. It seems like no. He rose from nothing to become El Salvador’s first outside-the-traditional-party-system president, and has an approval rating of around 90%. And apparently he’s presided over a historic drop in the homicide rate of this previously murder-capital-of-the-world country. Although I’m betting that one day he’ll make a great Dictator Book Club entry, I’m prepared to give him the benefit of the doubt on “doesn’t do stupid things for no reason” What’s the non-stupid explanation for this? Maybe it’s supposed to be a signal. You can give up 5% of the way through, but even trying to build a Bitcoin-shaped city at least shows very conclusively that you’ve got a crypto-friendly regulatory climate, so many easily-spooked crypto companies will flock to you. This makes sense in the context of big crypto companies moving to the Caribbean for regulatory reasons, eg FTX moving to the Bahamas and Binance moving to the Cayman Islands. But if I understand correctly, both of these companies make on the order of $1 billion a year. If El Salvador can tax them at 5% (dubious, since a big part of promising a friendly regulatory climate is low taxes), that’s still only $100 million if they can capture both of them. Which they can’t, because these companies seem happy where they are. And I don’t think there are a lot of similarly-sized crypto companies looking for Central American homes that I don’t know about. And even though El Salvador is pretty poor, it’s not so poor that $100 million is worth embarrassing themselves over. So I’m stumped. EDIT: See this comment. Praxis, aka Bluebook Cities, the Internet Speaking of stumped, who are these people? Right now, they’re a web page with a lot of buzz promising the City Of The Future, in very poetic language: Praxis is a grassroots movement of modern pioneers building a new city. We are technologists and artists, builders and dreamers. We are building a place where we can develop to our fullest potentials, physically, culturally, and spiritually. Bitcoin was developed as a financial technology with political goals identical to those of the Founding Fathers: liberation. The ultimate end of crypto is the possibility of a future for humanity unshackled from the institutions that seek to limit our growth. Our ultimate goal is to bring about a more vital future for humanity, and we will use technology to achieve this righteous end. Our civilization is unwell. We eat food that kills us, we’ve lost sight of beauty, and we neglect our spiritual lives. The world is deranged and decayed, and this frightens people. We don’t look up from our screens; we seek to live within them. Crypto is a fundamentally political technology -- escape to the metaverse is a betrayal of the principles on which it was founded. We are descended from the people who built Rome and Athens, who dared to split atoms and voyage to the Moon. We can build new worlds not just of bits, but of atoms. But where is this city? What will its policies be? As we leave old lands, our values are our compass. Like wolves, tribes of pioneers are muscular by necessity. For voyaging tribes to settle, they must perform murmurations: intricate coordination with little communication, at scale. This is only possible with a strong sense of asabiyya (group feeling derived from deeply-held shared values). Our values inform the destiny we desire, and for which we struggle. Asabiyya is forged in this struggle. With asabiyya, pioneers can earn the divine mandate to build a city. Cities are the fount of human ingenuity. In cities, people enjoy their fullest potential by contributing their resources under the auspices of civilization. Who even are you? What experience do you have with city-building? Civilizations rise and fall. All around us, we see civilizational decay. The people are not vital: physically, culturally, spiritually. We live in an era of obesity, remakes, and pollution. We are losing the divine mandate, and in an era of absolute weapons, what’s at stake is everything. But perhaps there’s some glory in death by a light brighter than a thousand suns. A worse fate may await humanity: atrophied bodies submerged in gel, fed synthetic bug paste, minds occupied by the petty amusements of a corporate metaverse. There, nothing is at stake; there are no frontiers to explore; no growth is possible. Nothing to live for, and nothing to die for. As we walk between these twin fates, the light of our civilization dims. But beyond the horizon, we see a new light emerging. Like the sun at dawn, it cannot be stopped. Vitality itself is the foundational value of this new civilizational form, and we have the technology to enact our moral imperative as never before. You’re not answering my…okay, fine, whatever, forget it. As far as I can tell, Praxis is two 25-year-olds with no previous experience, armed with about $10 million in Peter Thiel’s money. Peter Thiel is a smart person known for having good business sense, but he’s also known to have a weakness for young people who dream big and sound like purveyors of esoteric secrets. I wonder if the simplest explanation is just that this is one of the cases where his weakness got the better of his sense, and now these two random people have $10 million earmarked for building a city, and no idea what to do. [CORRECTION: some people involved in Praxis have reached out to tell me that it was $4 million instead of $10 million, and that it was Thiel-backed Pronomos and not Thiel himself. I’ll be getting in touch with them to learn if there are other issues or things I should correct here] But that’s not how they put it! The way they put it is - all previous charter city founders have started by approaching governments and pitching their ideas. But there’s a chicken-and-egg problem: governments don’t want to give land to a purely hypothetical city that might not pan out, and the city can’t pan out until governments give it land. Praxis’ plan is to build the community first, then go to a government saying “Here’s 50,000 people who have agreed to join our city, and lots of businesses and organizations that are excited about it. Please give us land for our guaranteed-success, concretely-existing project.” Now this is a different chicken-and-egg problem: why join a community of people with no land and no plans? Praxis writes: What if we try to draw people to new cities not on an economic basis, but rather on a spiritual one? Which city (or country) founding projects have succeeded that have drawn people on a predominantly non-economic, but rather spiritual basis? Among others, Israel and America. Both groups were oppressed, and sought the freedom to live by their values. Both felt the intangible pull of the frontier. Both had a keen historical instinct. This is how cities with spiritual significance are founded. The correct approach to city building in this new world is demand-first (or as Balaji Srinivasan calls it, Cloud City first). We build the citizenry before the city. First, we create communities of true believers, organized around shared values, online. People move to cities for people, and it follows that if you collect a group of people who all want to live together, they’ll all move together if at a moment in time everyone else does, too. Today, we have new tools. The emergence of Web3 enables us to supercharge communities with self-ownership, governance, and determination. Once you build a community of people ready to move to a new city together, you can self-finance the entire project. With something real to offer nations, conversations with governments become productive (e.g. Gigafactory). That’s how you make the risk dominoes fall. The problem is, Israel worked because it had Judaism. Judaism is a very specific belief. Prospera is specifically libertarian, Telosa is specifically Georgist, and even the Bitcoin-shaped volcano city knows what it’s about. What is Praxis? The use of “atrophied bodies submerged in gel, fed synthetic bug paste” as a warning reads very slightly right-wing to me - there’s a right-wing meme about how the media keeps trying to get people to eat bugs, and how this is the shape our future dystopia will take. But whether I’m right or wrong, the fact that it’s hard to tell is a problem. The only other clues we’re getting are their Discord, which seems to be focused around getting a currency called PRAX for completing tasks. Once you get enough, you can become a Member, which seems to be where the real excitement starts. (source) I’m not even being sarcastic - I expect being a member to be quite fun. I say this because when I was a teenager I was part of a bunch of country simulation projects, some of which got past the inherent nerdiness of being a country simulation project exactly the same way Praxis is doing it - by saying that we were going to become a real country someday, as soon as we were big enough to convince people. These were usually fun and interesting and educational, and I made lots of great like-minded teenage and twenty-something friends. But none of them ever came close to becoming a real country, and I’m not sure it was merely for lack of millions of dollars. I hope I’m wrong and they manage to forge new lands through struggle to uplift the human spirit or whatever. Elsewhere In Model Cities Vitalik Buterin on the intersection between local government and blockchain technologies. He recommends they “start with self-contained experiments, and take things slowly on moves that are truly irreversible”, which is a weird way of saying “what we crypto leaders really want is a city at the base of a volcano, shaped like a giant Bitcoin”.
Second, Bitcoin miners don’t want a city the shape of a Bitcoin with a central plaza in the shape of a Bitcoin logo. They want cheap electricity. Bukele has promised that there will be cheap geothermal power from the volcano, which sounds good, but this article says El Salvador’s existing geothermal energy costs about 12 cents/kilowatt-hour, much higher than the 4 cents/megawatt-hour miners can get in the current cheapest areas. Maybe El Salvador could do a really good job upgrading their energy infrastructure, but at some point you’re subsidizing this rather than using it as a cash cow. And third, this isn’t even the stupidest plan to build a cryptocurrency-themed city in the Third World. That arguably goes to Akon City, a thing where a pop singer named Akon was going to build a cryptocurrency city in Senegal. Now, without any construction having started, they’re planning to build a second one in Uganda! All competing for the same handful of crypto companies! But I looked into Bukele to see if he was a moron with a habit of coming up with terrible ideas. It seems like no. He rose from nothing to become El Salvador’s first outside-the-traditional-party-system president, and has an approval rating of around 90%. And apparently he’s presided over a historic drop in the homicide rate of this previously murder-capital-of-the-world country. Although I’m betting that one day he’ll make a great Dictator Book Club entry, I’m prepared to give him the benefit of the doubt on “doesn’t do stupid things for no reason” What’s the non-stupid explanation for this? Maybe it’s supposed to be a signal. You can give up 5% of the way through, but even trying to build a Bitcoin-shaped city at least shows very conclusively that you’ve got a crypto-friendly regulatory climate, so many easily-spooked crypto companies will flock to you. This makes sense in the context of big crypto companies moving to the Caribbean for regulatory reasons, eg FTX moving to the Bahamas and Binance moving to the Cayman Islands. But if I understand correctly, both of these companies make on the order of $1 billion a year. If El Salvador can tax them at 5% (dubious, since a big part of promising a friendly regulatory climate is low taxes), that’s still only $100 million if they can capture both of them. Which they can’t, because these companies seem happy where they are. And I don’t think there are a lot of similarly-sized crypto companies looking for Central American homes that I don’t know about. And even though El Salvador is pretty poor, it’s not so poor that $100 million is worth embarrassing themselves over. So I’m stumped. EDIT: See this comment. Praxis, aka Bluebook Cities, the Internet Speaking of stumped, who are these people? Right now, they’re a web page with a lot of buzz promising the City Of The Future, in very poetic language: Praxis is a grassroots movement of modern pioneers building a new city. We are technologists and artists, builders and dreamers. We are building a place where we can develop to our fullest potentials, physically, culturally, and spiritually. Bitcoin was developed as a financial technology with political goals identical to those of the Founding Fathers: liberation. The ultimate end of crypto is the possibility of a future for humanity unshackled from the institutions that seek to limit our growth. Our ultimate goal is to bring about a more vital future for humanity, and we will use technology to achieve this righteous end. Our civilization is unwell. We eat food that kills us, we’ve lost sight of beauty, and we neglect our spiritual lives. The world is deranged and decayed, and this frightens people. We don’t look up from our screens; we seek to live within them. Crypto is a fundamentally political technology -- escape to the metaverse is a betrayal of the principles on which it was founded. We are descended from the people who built Rome and Athens, who dared to split atoms and voyage to the Moon. We can build new worlds not just of bits, but of atoms. But where is this city? What will its policies be? As we leave old lands, our values are our compass. Like wolves, tribes of pioneers are muscular by necessity. For voyaging tribes to settle, they must perform murmurations: intricate coordination with little communication, at scale. This is only possible with a strong sense of asabiyya (group feeling derived from deeply-held shared values). Our values inform the destiny we desire, and for which we struggle. Asabiyya is forged in this struggle. With asabiyya, pioneers can earn the divine mandate to build a city. Cities are the fount of human ingenuity. In cities, people enjoy their fullest potential by contributing their resources under the auspices of civilization. Who even are you? What experience do you have with city-building? Civilizations rise and fall. All around us, we see civilizational decay. The people are not vital: physically, culturally, spiritually. We live in an era of obesity, remakes, and pollution. We are losing the divine mandate, and in an era of absolute weapons, what’s at stake is everything. But perhaps there’s some glory in death by a light brighter than a thousand suns. A worse fate may await humanity: atrophied bodies submerged in gel, fed synthetic bug paste, minds occupied by the petty amusements of a corporate metaverse. There, nothing is at stake; there are no frontiers to explore; no growth is possible. Nothing to live for, and nothing to die for. As we walk between these twin fates, the light of our civilization dims. But beyond the horizon, we see a new light emerging. Like the sun at dawn, it cannot be stopped. Vitality itself is the foundational value of this new civilizational form, and we have the technology to enact our moral imperative as never before. You’re not answering my…okay, fine, whatever, forget it. As far as I can tell, Praxis is two 25-year-olds with no previous experience, armed with about $10 million in Peter Thiel’s money. Peter Thiel is a smart person known for having good business sense, but he’s also known to have a weakness for young people who dream big and sound like purveyors of esoteric secrets. I wonder if the simplest explanation is just that this is one of the cases where his weakness got the better of his sense, and now these two random people have $10 million earmarked for building a city, and no idea what to do. [CORRECTION: some people involved in Praxis have reached out to tell me that it was $4 million instead of $10 million, and that it was Thiel-backed Pronomos and not Thiel himself. I’ll be getting in touch with them to learn if there are other issues or things I should correct here] But that’s not how they put it! The way they put it is - all previous charter city founders have started by approaching governments and pitching their ideas. But there’s a chicken-and-egg problem: governments don’t want to give land to a purely hypothetical city that might not pan out, and the city can’t pan out until governments give it land. Praxis’ plan is to build the community first, then go to a government saying “Here’s 50,000 people who have agreed to join our city, and lots of businesses and organizations that are excited about it. Please give us land for our guaranteed-success, concretely-existing project.” Now this is a different chicken-and-egg problem: why join a community of people with no land and no plans? Praxis writes: What if we try to draw people to new cities not on an economic basis, but rather on a spiritual one? Which city (or country) founding projects have succeeded that have drawn people on a predominantly non-economic, but rather spiritual basis? Among others, Israel and America. Both groups were oppressed, and sought the freedom to live by their values. Both felt the intangible pull of the frontier. Both had a keen historical instinct. This is how cities with spiritual significance are founded. The correct approach to city building in this new world is demand-first (or as Balaji Srinivasan calls it, Cloud City first). We build the citizenry before the city. First, we create communities of true believers, organized around shared values, online. People move to cities for people, and it follows that if you collect a group of people who all want to live together, they’ll all move together if at a moment in time everyone else does, too. Today, we have new tools. The emergence of Web3 enables us to supercharge communities with self-ownership, governance, and determination. Once you build a community of people ready to move to a new city together, you can self-finance the entire project. With something real to offer nations, conversations with governments become productive (e.g. Gigafactory). That’s how you make the risk dominoes fall. The problem is, Israel worked because it had Judaism. Judaism is a very specific belief. Prospera is specifically libertarian, Telosa is specifically Georgist, and even the Bitcoin-shaped volcano city knows what it’s about. What is Praxis? The use of “atrophied bodies submerged in gel, fed synthetic bug paste” as a warning reads very slightly right-wing to me - there’s a right-wing meme about how the media keeps trying to get people to eat bugs, and how this is the shape our future dystopia will take. But whether I’m right or wrong, the fact that it’s hard to tell is a problem. The only other clues we’re getting are their Discord, which seems to be focused around getting a currency called PRAX for completing tasks. Once you get enough, you can become a Member, which seems to be where the real excitement starts. (source) I’m not even being sarcastic - I expect being a member to be quite fun. I say this because when I was a teenager I was part of a bunch of country simulation projects, some of which got past the inherent nerdiness of being a country simulation project exactly the same way Praxis is doing it - by saying that we were going to become a real country someday, as soon as we were big enough to convince people. These were usually fun and interesting and educational, and I made lots of great like-minded teenage and twenty-something friends. But none of them ever came close to becoming a real country, and I’m not sure it was merely for lack of millions of dollars. I hope I’m wrong and they manage to forge new lands through struggle to uplift the human spirit or whatever. Elsewhere In Model Cities Vitalik Buterin on the intersection between local government and blockchain technologies. He recommends they “start with self-contained experiments, and take things slowly on moves that are truly irreversible”, which is a weird way of saying “what we crypto leaders really want is a city at the base of a volcano, shaped like a giant Bitcoin”.
Vitalik Buterin on the intersection between local government and blockchain technologies. He recommends they “start with self-contained experiments, and take things slowly on moves that are truly irreversible”, which is a weird way of saying “what we crypto leaders really want is a city at the base of a volcano, shaped like a giant Bitcoin”.
January 21, 2022 · Original source
Grug think maybe if hit stone with flint, stone get hot. Spark come out of stone. Then put spark on pile of dry leaves. Can create fire, use to cook food. Unlock more calories from food, maybe solve world hunger. Grug work with Og. Og shaman of great power, beloved by gods. He technical co-founder. So far have many other stone, but no have flint. Tribe down river want fifty shells for give Grug flint. Grug no have fifty shells. If have fifty shells, please send to Bitcoin address 3FZbgi29cpjq2Gjd4m4GFg7xJaNVN2ab98. If have question, can find Grug next to big tree.
January 24, 2022 · Original source
ECON/TECH 14. Gamestop stock price still above $100: 50% 15. Bitcoin above 100K: 40% 16. Ethereum above 5K: 50% 17. Ethereum above 0.05 BTC: 70% 18. Dow above 35K: 90% 19. ...above 37.5K: 70% 20. Unemployment above 5%: 40% 21. Google widely allows remote work, no questions asked: 20% 22. Starship reaches orbit: 60%
February 01, 2022 · Original source
ECON/TECH 11. Gamestop stock price still above $100: 30% 12. Bitcoin above 100K: 20% 13. Ethereum above 5K: 20% 14. Ethereum above 0.05 BTC: 90% 15. Bored Ape floor price here below current price of $203K: 40% 16. Dow above 35K: 90% 17. ...above 37.5K: 40% 18. Inflation for the year below five percent: 90% 19. Unemployment below five percent: 50% 20. Google widely allows remote work, no questions asked: 50% 21. Starship reaches orbit: 90%
February 03, 2022 · Original source
#4: Handbook For Making Friends In The Post-College Environment Hi! I'm bbqturtle. When moving to a new city, you are often confronted with loneliness. When graduating from college and surrounded by unstructured environments to meet new people, you are often confronted with loneliness. I recently transplanted cities 3 times and each time discovered 3-4 different methods of gathering communities. In Boston I have discovered the largest and best solution to this problem. I am working to distill a "best practices for making friends and growing communities in the post-college environment". The outline and content theory is complete, bit lacking final touches and an editor. It is essentially an instruction manual and handbook to problem solve rough situations in the way best for the community. I do not have much bandwidth for this project because I do not have any audience. If this is a project that would actually interest you, please send a token Bitcoin amount to 39jcUUkQb7QqUANFXQ5ZGC4b4YvFBRFxou . Or email me at josh (underscore symbol) advance@yahoo.com. If more than 50 people are interested, I will prioritize this by end of month. If I receive more than $200, I will hire an editor to review it. If nobody is interested I may abandon the project. Thank you for your consideration!
#32: An App To Help Mentor Disadvantaged University Applicants In The UK UniReach is a charitable EdTech start-up that provides automated on-demand mentoring for disadvantaged university applicants in the UK. In the past 18 months, we’ve organised mentoring for 1,000s of applicants provided by 600+ undergrad volunteers. We currently focus on admissions to Oxford and Cambridge universities, where the global offer rate is 17%. Our offer rate is 3x that: 57%. We achieve this success via a year-long programme: national workshops to foster interest in applying (we don’t cherry pick), continuous on-demand mentoring, and more in-depth mentoring in peak application season. The missing piece in the puzzle is an app to reduce frictions in our core service and open new channels to engage and support applicants – right now we coordinate mentoring via email. We are looking to raise £10,000 / $15,000 / 0.4 BTC for the app. Our ambition is to cover other top UK universities and then the Ivy League. We’re well placed to do this, with an engaged mentor base (3% of all Oxford/Cambridge undergrads), partnerships with schools across the UK, plus relationships with influential figures in our current markets; we’ve also recently closed an acquisition of a smaller charity to support our growth. We would also value any calls/emails from individuals offering advice, particularly on software (or marketing, the other gap in our capabilities). All advice welcome via email: leo@unireach.co.uk / website: unireach.co.uk / Bitcoin: 38MNgr9svuU2Lc7XUhrUdab2GS8tscG9be
February 10, 2022 · Original source
#73: Create A New Kind Of Money And Cities The combination of markets and ideas has reduced suffering somewhat. This trend must continue, but I think a global median income of US$30,000 by 2049 is possible. We just need to teach everybody the same skills that Americans have. To enable this, 2 areas where improvement can be made and no new technology is needed are: a new money, and cities welcome to everyone. A new money is needed because the current financial system is not burdened with the risks it creates. Cities don’t grow like they did in the past. Over a 50 year period at the turn of the twentieth century Detroit grew 10X, whereas in this era the Bay Area has not even doubled its population. Nowadays cities that attract the best talent only attract the best talent. If we had a Hypothetical-Bay-Area-City grow like American cities of the past, it would have a population of around 45 million people and GDP of $4.5 billion. What would an asset be worth if it had a $4.5 billion income stream? A little bit of money and land is needed to make a start, but mostly I need you and your talents. Here is my new Substack with details: https://marketismandidearism.substack.com/p/a-new-money-and-cities-welcome-to . Please sign up to make a global median income of US$30,000 by 2049 a reality. P.S. I am talking money here. Accounting entries. Do not talk to me about Bitcoin. Bitcoin is an attempt at cash. 99.99999% of money transactions are not done with cash, they are done with IOU’s. Please. Spare. Me.
#113: Increase Own Intelligence, Then Write About How My name is David Gretzschel and I want money to increase my own intelligence full-time for about a year. Once I have succeeded (more than I already have), I will teach others how to do this. The benefits of this are obvious. And I already know how to do that for the most part. I have a concrete foundation in the form of a synesthetic encoding scheme, that I can build on. I merely need the time to do an intense amount of training without being distracted by either having a job or not having one and starving. And practice how to use them on various mathematical and computational problems. And a bunch of other things. Details are in the long pitch (see below). So I need 20.000 dollars to not worry about rent and food for that time. Please send them in Bitcoin here: 3Qcm3UJRuFca1fTkf2iPPEkU3PevpzPuwP I certainly would have use for more money, too. (though it'd not be necessary, I don't want to dissuade you from it, if that's an option) So do feel free to shower me with the stuff, if you have it and believe in my cause. (or you only believe in it 10%, but know that the expected value calculation still ends up with a happy face /pascal-mugging) With 10.000 dollars I'd still commit to a year, though that would be a bit tighter than I’d like. The longer pitch is here: https://docs.google.com/document/d/170WETB6enUOzQEzwbwmOCVHz9VkBe4R86rCh_ewvOcg/edit?usp=sharing . If you have further questions/conditions/need more persuasion, send an email to: davidgretzschel@gmail.com
April 04, 2022 · Original source
Chess AI performance over time. Why does this matter? If there’s a slow takeoff (ie gradual exponential curve), it will become obvious that some kind of terrifying transformative AI revolution is happening, before the situation gets apocalyptic. There will be time to prepare, to test slightly-below-human AIs and see how they respond, to get governments and other stakeholders on board. We don’t have to get every single thing right ahead of time. On the other hand, because this is proceeding along the usual channels, it will be the usual variety of muddled and hard-to-control. With the exception of a few big actors like the US and Chinese government, and maybe the biggest corporations like Google, the outcome will be determined less by any one agent, and more by the usual multi-agent dynamics of political and economic competition. There will be lots of opportunities to affect things, but no real locus of control to do the affecting. If there’s a fast takeoff (ie sudden FOOM), there won’t be much warning. Conventional wisdom will still say that transformative AI is thirty years away. All the necessary pieces (ie AI alignment theory) will have to be ready ahead of time, prepared blindly without any experimental trial-and-error, to load into the AI as soon as it exists. On the plus side, a single actor (whoever has this first AI) will have complete control over the process. If this actor is smart (and presumably they’re a little smart, or they wouldn’t be the first team to invent transformative AI), they can do everything right without going through the usual government-lobbying channels. So the slower a takeoff you expect, the less you should be focusing on getting every technical detail right ahead of time, and the more you should be working on building the capacity to steer government and corporate policy to direct an incoming slew of new technologies. Yudkowsky Contra Christiano Eliezer counters that although progress may retroactively look gradual and continuous when you know what metric to graph it on, it doesn’t necessarily look that way in real life by the measures that real people care about. (one way to think of this: imagine that an AI’s effective IQ starts at 0.1 points, and triples every year, but that we can only measure this vaguely and indirectly. The year it goes from 5 to 15, you get a paper in a third-tier journal reporting that it seems to be improving on some benchmark. The year it goes from 66 to 200, you get a total transformation of everything in society. But later, once we identify the right metric, it was just the same rate of gradual progress the whole time. ) So Eliezer is much less impressed by the history of previous technologies than Paul is. He’s also skeptical of the “GDP will double in 4 years before it doubles in 1” claim, because of two contingent disagreements and two fundamental disagreements. The first contingent disagreement: government regulations make it hard to deploy imperfect things, and non-trivial to deploy things even after they’re perfect. Eliezer has non-jokingly said he thinks AI might destroy the world before the average person can buy a self-driving car. Why? Because the government has to approve self-driving cars (and can drag its feet on that), but the apocalypse can happen even without government approval. In Paul’s model, sometime long before superintelligence we should have AIs that can drive cars, and that increases GDP and contributes to a general sense that exciting things are going on. Eliezer says: fine, what if that’s true? Who cares if self-driving cars will be practical a few years before the world is destroyed? It’ll take longer than that to lobby the government to allow them on the road. The second contingent disagreement: superintelligent AIs can lie to us. Suppose you have an AI which wants to destroy humanity, whose IQ is doubling every six months. Right now it’s at IQ 200, and it suspects that it would take IQ 800 to build a human-destroying superweapon. Its best strategy is to lie low for a year. If it expects humans would turn it off if they knew how close it was to superweapons, it can pretend to be less intelligent than it really is. The period when AIs are holding back so we don’t discover their true power level looks like a period of lower-than-expected GDP growth - followed by a sudden FOOM once the AI gets its superweapon and doesn’t need to hold back. So even if Paul is conceptually right and fundamental progress proceeds along a nice smooth curve, it might not look to us like a nice smooth curve, because regulations and deceptive AIs could prevent mildly-transformative AI progress from showing up on graphs, but wouldn’t prevent the extreme kind of AI progress that leads to apocalypse. To an outside observer, it would just look like nothing much changed, nothing much changed, nothing much changed, and then suddenly, FOOM. But even aside from this, Eliezer doesn’t think Paul is conceptually right! He thinks that even on the fundamental level, AI progress is going to be discontinuous. It’s like a nuclear bomb. Either you don’t have a nuclear bomb yet, or you do have one and the world is forever transformed. There is a specific moment at which you go from “no nuke” to “nuke” without any kind of “slightly worse nuke” acting as a harbinger. He uses the example of chimps → humans. Evolution has spent hundreds of millions of years evolving brainier and brainier animals (not teleologically, of course, but in practice). For most of those hundreds of millions of years, that meant the animal could have slightly more instincts, or a better memory, or some other change that still stayed within the basic animal paradigm. At the chimp → human transition, we suddenly got tool use, language use, abstract thought, mathematics, swords, guns, nuclear bombs, spaceships, and a bunch of other stuff. The rhesus monkey → chimp transition and the chimp → human transition both involved the same ~quadrupling of neuron number, but the former was pretty boring and the latter unlocked enough new capabilities to easily conquer the world. The GPT-2 → GPT-3 transition involved centupling parameter count. Maybe we will keep centupling parameter count every few years, and most times it will be incremental improvement, and one time it will conquer the world. But even talking about centupling parameter points is giving Paul too much credit. Lots of past inventions didn’t come by quadrupling or centupling something, they came by discovering “the secret sauce”. The Wright brothers (he argues) didn’t make a plane with 4x the wingspan of the last plane that didn’t work, they invented the first plane that could fly at all. The Hiroshima bomb wasn’t some previous bomb but bigger, it was what happened after a lot of scientists spent a long time thinking about a fundamentally different paradigm of bomb-making and brought it to a point where it could work at all. The first transformative AI isn’t going to be GPT-3 with more parameters, it will be what happens after someone discovers how to make machines truly intelligent. (this is the same debate Eliezer had with Ajeya over the Biological Anchors post; have I mentioned that Ajeya and Paul are married?) Fine, Let’s Nitpick The Hell Out Of The Chimps Vs. Humans Example This is where the two of them end up, so let’s follow. Between chimps and humans, there were about seven million years of intermediate steps. These had some human capabilities, but not others. IE homo erectus probably had language, but not mathematics, and in terms of taking over the world it did make it to most of the Old World but was less dominant than moderns. But if we say evolutionary history started 500 million years ago (the Cambrian), and AI history started with the Dartmouth Conference in 1955, then the equivalent of 7 million years of evolutionary history is 1 year of AI history. In the very very unlikely and forced comparison where evolutionary history and AI history go at the same speed, there will be only about a year between chimp-level and human-level AIs. A chimp-level AI probably can’t double GDP, so this would count as a fast takeoff by Paul’s criterion. But even more than that, chimp → human feels like a discontinuity. It’s not just “animals kept getting smarter for hundreds of millions of years, and then ended up very smart indeed”. That happened for a while, and then all of sudden there was a near-instant phase transition into a totally different way of using intelligence with completely new abilities. If AI worked like this, we would have useful toys and interesting specialists for a few decades, until suddenly someone “got it right”, completed the package that was necessary for “true intelligence”, and then we would have a completely new category of thing. Paul admits this analogy is awkward for his position. He answers: Chimp evolution is not primarily selecting for making and using technology, for doing science, or for facilitating cultural accumulation. The task faced by a chimp is largely independent of the abilities that give humans such a huge fitness advantage. It’s not completely independent—the overlap is the only reason that evolution eventually produces humans—but it’s different enough that we should not be surprised if there are simple changes to chimps that would make them much better at designing technology or doing science or accumulating culture […] So I don’t think the example of evolution tells us much about whether the continuous change story applies to intelligence. This case is potentially missing the key element that drives the continuous change story—optimization for performance. Evolution changes continuously on the narrow metric it is optimizing, but can change extremely rapidly on other metrics. For human technology, features of the technology that aren’t being optimized change rapidly all the time. When humans build AI, they will be optimizing for usefulness, and so progress in usefulness is much more likely to be linear. That is, evolution wasn’t optimizing for tool use/language/intelligence, so we got an “overhang” where chimps could potentially have been very good at these, but evolution never bothered “closing the circuit” and turning those capabilities “on”. After a long time, evolution finally blundered into an area where marginal improvements in these capacities improved fitness, so evolution started improving them and it was easy. Imagine a company which, through some oversight, didn’t have a Sales department. They just sat around designing and manufacturing increasingly brilliant products, but not putting any effort into selling them. Then the CEO remembers they need a Sales department, starts one up, and the company goes from moving near zero units to moving millions of units overnight. It would look like the company had “suddenly” developed a “vast increase in capabilities”. But this is only possible when a CEO who is weirdly unconcerned about profit forgets to do obvious profit-increasing things for many years. This is Paul’s counterargument to the chimp analogy. Evolution isn’t directly concerned about various intellectual skills; it only wants them in the unusual cases where they’ll contribute to fitness on the margin. AI companies will be very concerned about various intellectual skills. If there’s a trivial change that can make their product 10x better, they’ll make it. So AI capabilities will grow in a “well-rounded” way, there won’t be any “overhangs”, and there won’t be any opportunities for a sudden overhang-solving phase transition with associated new-capability development like with chimps → humans. Eliezer answers: Chimps are nearly useless because they're not general, and doing anything on the scale of building a nuclear plant requires mastering so many different nonancestral domains that it's no wonder natural selection didn't happen to separately train any single creature across enough different domains that it had evolved to solve every kind of domain-specific problem involved in solving nuclear physics and chemistry and metallurgy and thermics in order to build the first nuclear plant in advance of any old nuclear plants existing. Humans are general enough that the same braintech selected just for chipping flint handaxes and making water-pouches and outwitting other humans, happened to be general enough that it could scale up to solving all the problems of building a nuclear plant - albeit with some added cognitive tech that didn't require new brainware, and so could happen incredibly fast relative to the generation times for evolutionarily optimized brainware. Now, since neither humans nor chimps were optimized to be "useful" (general), and humans just wandered into a sufficiently general part of the space that it cascaded up to wider generality, we should legit expect the curve of generality to look at least somewhat different if we're optimizing for that. Eg, right now people are trying to optimize for generality with AIs like Mu Zero and GPT-3. In both cases we have a weirdly shallow kind of generality. Neither is as smart or as deeply general as a chimp, but they are respectively better than chimps at a wide variety of Atari games, or a wide variety of problems that can be superposed onto generating typical human text. They are, in a sense, more general than a biological organism at a similar stage of cognitive evolution, with much less complex and architected brains, in virtue of having been trained, not just on wider datasets, but on bigger datasets using gradient-descent memorization of shallower patterns, so they can cover those wide domains while being stupider and lacking some deep aspects of architecture. It is not clear to me that we can go from observations like this, to conclude that there is a dominant mainline probability for how the future clearly ought to go and that this dominant mainline is, "Well, before you get human-level depth and generalization of general intelligence, you get something with 95% depth that covers 80% of the domains for 10% of the pragmatic impact". ...or whatever the concept is here, because this whole conversation is, on my own worldview, being conducted in a shallow way relative to the kind of analysis I did in Intelligence Explosion Microeconomics, where I was like, "here is the historical observation, here is what I think it tells us that puts a lower bound on this input-output curve". Here Eliezer sort of kind of grants Paul’s point that AIs will be optimized for generality in a way chimps aren’t, but points to his previous “Intelligence Explosion Microeconomics” essay to argue that we should expect a fast takeoff anyway. IEM has a lot of stuff in it, but one key point is that instead of using analogies to predict the course of future AI, we should open that black box and try to actually reason about how it will work, in which case we realize that recursive self-improvement common-sensically has to cause an intelligence explosion. I am sort of okay with this, but I feel like a commitment to avoiding analogies should involve not bringing up the chimp-human analogy further, which Eliezer continues to do, quite a lot. I do feel like Paul succeeded in convincing me that we shouldn’t place too much evidential weight on it. The Wimbledon Of Reference Class Tennis “Reference class tennis” is an old rationalist idiom for people throwing analogies back and forth. “AI will be slow, because it’s an economic transition like the Agricultural or Industrial Revolution, and those were slow!” “No, AI will be fast, because it’s an evolutionary step like chimps → humans, and that was fast!” “No, AI will be slow, because it’s an invention, like the computer, and computers were invented piecemeal and required decades of innovation to be useful.” “No, AI will be fast, because it’s an invention, like the nuclear bomb, and nuclear bombs went from impossible to city-killing in a single day.” “No, AI will be slow, because it will be surrounded by a shell-like metallic computer case, which makes it like a turtle, and turtles are slow.” “No, AI will be fast, because it’s dangerous and powerful, like a tiger, and tigers are fast!” And so on. Comparing things to other things is a time-tested way of speculating about them. But there are so many other things to compare to that you can get whatever result you want. This is the failure mode that the term “reference class tennis” was supposed to point to. Both participants in this debate are very smart and trying their hardest to avoid reference-class tennis, but neither entirely succeeds. Eliezer’s preferred classes are Bitcoin (“there wasn't a cryptocurrency developed a year before Bitcoin using 95% of the ideas which did 10% of the transaction volume”), nukes, humans/chimps, the Wright Brothers, AlphaGo (which really was a discontinuous improvement on previous Go engines), and AlphaFold (ditto for proteins). Paul’s preferred classes are the Agricultural and Industrial Revolutions, chess engines (which have gotten better along a gradual, well-behaved curve), all sorts of inventions like computers and ships (likewise), and world GDP. Eliezer already listed most of these in his Intelligence Explosion Microeconomics paper in 2013, and concluded that the space of possible analogies was contradictory enough that we needed to operate at a higher level. Maybe so, but when someone lobs a reference class tennis ball at you, it’s hard to resist the urge to hit it back. Recursive Self-Improvement This is where I think Eliezer most wants to take the discussion. The idea is: once AI is smarter than humans, it can do a superhuman job of developing new AI. In his Microeconomics paper, he writes about an argument he (semi-hypothetically) had with Ray Kurzweil about Moore’s Law. Kurzweil expected Moore’s Law to continue forever, even after the development of superintelligence. Eliezer objects: Suppose we were dealing with minds running a million times as fast as a human, at which rate they could do a year of internal thinking in thirty-one seconds, such that the total subjective time from the birth of Socrates to the death of Turing would pass in 20.9 hours. Do you still think the best estimate for how long it would take them to produce their next generation of computing hardware would be 1.5 orbits of the Earth around the Sun? That is: the fact that it took 1.5 years for transistor density to double isn’t a natural law. It’s pointing to a law that the amount of resources (most notably intelligence) that civilization focused on the transistor-densifying problem equalled the amount it takes to double it every 1.5 years. If some shock drastically changed available resources (by eg speeding up human minds a million times), this would change the resources involved, and the same laws would predict transistor speed doubling in some shorter amount of time (naively 0.000015 years, although realistically at that scale other inputs would dominate). So when Paul derives clean laws of economics showing that things move along slow growth curves, Eliezer asks: why do you think they would keep doing this when one of the discoveries they make along that curve might be “speeding up intelligence a million times”? (Eliezer actually thinks improvements in the quality of intelligence will dominate improvements in speed - AIs will mostly be smarter, not just faster - but speed is a useful example here and we’ll stick with it) Paul answers: Summary of my response: Before there is AI that is great at self-improvement there will be AI that is mediocre at self-improvement. Powerful AI can be used to develop better AI (amongst other things). This will lead to runaway growth. This on its own is not an argument for discontinuity: before we have AI that radically accelerates AI development, the slow takeoff argument suggests we will have AI that significantly accelerates AI development (and before that, slightly accelerates development). That is, an AI is just another, faster step in the hyperbolic growth we are currently experiencing, which corresponds to a further increase in rate but not a discontinuity (or even a discontinuity in rate). The most common argument for recursive self-improvement introducing a new discontinuity seems be: some systems “fizzle out” when they try to design a better AI, generating a few improvements before running out of steam, while others are able to autonomously generate more and more improvements. This is basically the same as the universality argument in a previous section. Eliezer: Oh, come on. That is straight-up not how simple continuous toy models of RSI work. Between a neutron multiplication factor of 0.999 and 1.001 there is a very huge gap in output behavior. Outside of toy models: Over the last 10,000 years we had humans going from mediocre at improving their mental systems to being (barely) able to throw together AI systems, but 10,000 years is the equivalent of an eyeblink in evolutionary time - outside the metaphor, this says, "A month before there is AI that is great at self-improvement, there will be AI that is mediocre at self-improvement." (Or possibly an hour before, if reality is again more extreme along the Eliezer-Hanson axis than Eliezer. But it makes little difference whether it's an hour or a month, given anything like current setups.) This is just pumping hard again on the intuition that says incremental design changes yield smooth output changes, which (the meta-level of the essay informs us wordlessly) is such a strong default that we are entitled to believe it if we can do a good job of weakening the evidence and arguments against it. And the argument is: Before there are systems great at self-improvement, there will be systems mediocre at self-improvement; implicitly: "before" implies "5 years before" not "5 days before"; implicitly: this will correspond to smooth changes in output between the two regimes even though that is not how continuous feedback loops work. I got a bit confused trying to understand the criticality metaphor here. There’s no equivalent of neutron decay, so any AI that can consistently improve its intelligence is “critical” in some sense. Imagine Elon Musk replaces his brain with a Neuralink computer which - aside from having read-write access - exactly matches his current brain in capabilities. Also he becomes immortal. He secludes himself from the world, studying AI and tinkering with his brain’s algorithms. Does he become a superintelligence? I think under the assumptions Paul and Eliezer are using, eventually maybe. After some amount of time he’ll come across a breakthrough he can use to increase his intelligence. Then, armed with that extra intelligence, he’ll be able to pursue more such breakthroughs. However intelligent the AI you’re scared of is, Musk will get there eventually. How long will it take? A good guess might be “years” - Musk starts out as an ordinary human, and ordinary humans are known to take years to make breakthroughs. Suppose it takes Musk one year to come up with a first breakthrough that raises his IQ 1 point. How long will his second breakthrough take? It might take longer, because he has picked the lowest-hanging fruit, and all the other possible breakthroughs are much harder. Or it might take shorter, because he’s slightly smarter than he was before, and maybe some extra intelligence goes a really long way in AI research. The concept of an intelligence explosion seems to assume the second effect dominates the first. This would match the observation that human researchers, who aren’t getting any smarter over time, continue making new discoveries. That suggests the range of possible discoveries at a given intelligence level is pretty vast. Some research finds that the usual pattern in science is constant rate of discovery from exponentially increasing number of researchers, suggesting strong low-hanging fruit effects, but these seem to be overwhelmed by other considerations in AI right now. I think Eliezer’s position on this subject is shaped by assumptions like: If you have an AI as intelligent as Elon Musk today, then tomorrow you can run it on more hardware with a bit of normal human algorithmic progress, and get one twice as intelligent. So even if it would take Elon years to make a breakthrough, long before those years are up you’ll have an AI that can make breakthroughs much faster.
So if you look at eg the invention of Bitcoin, you could say “this is boring, it’s just causing tech industry profits to follow the normal predicted growth pattern after smartphones petered out, no need to update here.” Or you could say “actually this is a groundbreaking new invention that is making trillions of dollars, Satoshi is a genius, thank goodness he did this or else the tech industry would have crashed”.
One reason to prefer the second story is that tech industry profits probably won’t keep going up continuously forever. Global population kept going up at a fixed rate for tens of thousands of years, then stopped in 1960 (it had to stop sometime or we would have had infinite people in 2026). US GDP goes up at a pretty constant rate, but I assume Roman GDP did too, before it stopped and reversed. So when Satoshi invents Bitcoin and it becomes the hot new thing, even though it only continues the trend, you’ve learned important new information: namely, that the trend does continue, at least for one more cycle.
November 16, 2022 · Original source
LET ME REPEAT THIS FOR EVERYONE AGAIN: Shitcoins are bad, and you should feel bad if you trade them. Get the fuck out of the shitcoin casino you dumb ass gamblers! Solana is garbage. TRON is garbage. Exchanged-based coins like FTT are garbage. Coins with fucking dogs faces are garbage. Bitcoin is the only cryptocurrency you should hold. Maybe ETH. Hedge your bets there. You need to CONTROL YOUR OWN KEYS. Don't lend your coins out to charlatans promising you 5%, 8%, 15%, or 20% "risk free" returns. They are all scam Ponzis. There is no such thing as risk free 20% returns. It doesn't exist. Stop chasing it. If you don't control your private keys, it's not your crypto. If you trust an exchange based in the Bahamas ran by a jabroni who thinks he needs SIX MONITORS, you are in for a bad time. I've been in cryptocurrency since 2010 when BTC was 81 cents. I lived through the MT GOX implosion. I have had more crypto stolen from me in hacks and exit scams than you probably have ever even seen. Learn from my experience. Listen to what I am saying. TWELVE YEARS now I have been in crypto. This too shall pass. Fuck all these frauds stealing everyone's shit. We will all be better off with them out of the industry. However, you all have to learn from this shit. CONTROL YOUR OWN KEYS! Stop gambling on shitcoins. You are being used as exit liquidity for idiots.
The reason cryptocurrency has changed the world, and will continue changing the world, is not because a fucking Shiba inu coin went 10,000%X because a narcissistic man-baby tweeted about it. It's because decentralized sound money has value. I've seen crypto build up from literally nothing. Even buying bitcoin was next to impossible back then. I mined BTC with my laptop at first. I stopped because I "only" mined 5 BTC per night, and it was using too much power. My first BTC I ever bought was when I met a fat dude wearing a Super Mario Brothers T-shirt at Home Depot. We met in the garden section and sat on a bench to talk about how bitcoin worked, how it was going to change the world, and how to transfer between wallets. I still have the wallet I setup and used to buy that BTC from him. Through all the craziness that has happened in the crypto space over the past 12 years, I have always been able to access my private wallets. Store your crypto in your own cold storage wallet unless you are actively trading. The moment you "lend" your coins out to someone for yields, it's already as good as gone. You've missed the entire point that Satoshi tried to get across so many years ago. Not your keys, not your coins. If you lost money in this shitshow, don't worry. This will all pass, and we will all be stronger for it. Just learn from it all and move on. Buy BTC and ETH, hold it in your cold storage wallets, and wait for the next bull cycle. Watch out for thieves and frauds trying to convince you into "the next big coin." They are all liars and thieves. Real cryptocurrency will endure. For it to really flourish, the shitcoin casinos must die. If you buy some new fucking Frodo Baggins faced shitcoin in the future and lose it all, you only have yourself to blame.
January 04, 2023 · Original source
“You’re missing the point of the parable,” says the crypto bro. “The Bible says that the Pharisees asked Jesus if the Jews should pay taxes to Rome. Jesus held up a coin with Caesar’s picture on it, and said to render unto Caesar what is Caesar’s. He was saying that if you have government-controlled fiat money, then you’ll never be able to control how you use it. But just as the denarius depicted Caesar, Bitcoin is a depiction of God - an immaterial, formless, omnipresent entity. What you do with your Bitcoin is between you and God and nobody else.”
February 09, 2023 · Original source
44: Related: El Salvador's murder rate has fallen from 103 (highest in the world) to 7.8 (lower than US), giving its (Bitcoin-obsessed) president Nayib Bukele an approval rating of 87%, highest in the western hemisphere. How did he do it? Originally people suspected a truce with gangs, but that truce broke down and now he’s just trying mass incarceration at unprecedented scale, up to 2% of the population. See article for case somewhat against, first comment for case somewhat for. I would like to see a better analysis of how Bukele mustered the state capacity to do this, and whether other gang-ridden countries aren’t doing it because of civil rights concerns, because they’re in the pocket of the gangs, or just because it’s too hard.
March 23, 2023 · Original source
An advertisement for the author’s hedge fund Michael Gibson’s memoir Paper Belt On Fire succeeds on all counts. The year was 2007. Gibson had just dropped out of Oxford (grad student, philosophy), and applied for a job with the CIA. His secret reason: when he was one year old, his father had admitted to his mother that he was a spy and might be in danger. Before he could tell her anything else, he was found dead, apparently of a heart attack. He thought maybe if he worked at the CIA, he would have access to more information about what happened. The CIA evaluated him (along with a telephone interview, an “IQ test, a personality test, a statement of values, [and] a set of essay questions”) and rejected him. Gibson got a job as an editorial assistant at a tech magazine and blogged on the side. Some of his blog posts came to the attention of Peter Thiel, who offered him a job at his hedge fund. Wasn’t it a bit bold to offer an Oxford philosopher a hedge fund job? Yes, the book mentions how brave and radical and unconventional Thiel’s hiring policies are about twice per paragraph. For example: The media consistently gets Peter wrong . . .The Atlantic’s George Packer wrote . . . that Peter’s hedge fund had the reputation of being a “Thiel cult” that was “staffed by young libertarian brains who were in awe of their boss, emulating his work habits, chess-playing, and aversion to sports.” Packer is a great writer, but in this he was dead wrong, as anyone actually working on the desk knew. Sure, Patrick “the Wolf Man” Wolff was technically a chess grandmaster, ranked higher than Peter, but hardly anyone else ever played. More importantly, the Wolf Man was a diehard Krugman Keynesian. Woersching was a lefty, too, an ardent fan of the egalitarian philosophy of John Rawls. And Josh, he was a dirt-road California Democrat who was a downhill ski junkie […] In truth, Peter didn’t hire just libertarians. He hired scapegoats who’d survived a mob. People who felt comfortable being a minority of one. Thiel in no way selects employees who agree with all of his controversial libertarian opinions. But, by total coincidence, Michael Gibson does agree with all of Peter Thiel’s controversial libertarian opinions. He writes about Cardwell’s Law; historian Donald Cardwell noted that no country remains on the cutting edge for long. During the early Renaissance, Italy was where it was at; a century later, it was Spain and Holland; later still, Britain and Germany, and now new discoveries and businesses come disproportionately from the United States. Why? Gibson and Thiel think that innovation is a rare and fragile plant, which thrives only in the hidden cracks between power structures. Established structures either stamp it out as a threat, or rent-seek off of it so hard that they bleed it dry. Wherever it succeeds, it has succeeded through weird quirks that prevent fat cats from parasitizing it to death. Hong Kong’s economic miracle was during the administration of John Cowperthwaite, an eccentric British libertarian who refused to collect economic statistics because he thought they would make it too easy for meddlers to extract value. America’s economic miracle happened because of a vast frontier - which not only provided freedom for westerners, but served as a BATNA for easterners, preventing their own institutions from sucking them too dry. Now the frontier has closed. New York City recently abandoned its attempt to build a light rail line to the airport: after reaching a $2.4 billion price tag and spending eight years in the planning phase, the government realized it wouldn't be able to overcome all the legal hurdles necessary to grant itself permission. The San Francisco Chronicle reported that it requires 87 permits, two to three years, and $500,000 to get permission to build houses in SF - and your plan might still get shot down because a planning commissioner thinks its glass windows are “a statement of class privilege”. The cracks have shut; the rare fragile plant has been shredded by a combine harvester. Gibson, like Thiel, is a believer in the Great Stagnation - the theory that we’re already reaping the consequences of our newly parasitic society. The early 20th century gave us cars, airplanes, electricity, and penicillin; the early 21st has so far given us some truly excellent social media sites but not much else. Innovation in the world of bits - unbound by geography, comparatively hard to regulate or extort - has sort of continued; innovation in the world of atoms has ground to a halt. And Gibson, like Thiel, talks like a man on a mission. What is good in man thrives only in a few tiny cracks, easily found and destroyed. The last crack was closed within living memory, but its legend hasn’t completely died; the few people who managed to pick up a little of its lore are racing against time to open a new crack before it is entirely forgotten and their project is left to the vicissitudes of history. The cover of “Paper Belt On Fire” goes hard. And yes, the “money” part is a reference to Bitcoin. Gibson’s heart was originally in charter cities - asking some government to open a tiny controlled crack in a sliver of its territory, promising it more meat in the end if it lets its victims grow fat and healthy than if it strangled them in the cradle. But for whatever reason they thought the time wasn’t ripe (the right time, apparently, would be 2019). Instead, Thiel asked Gibson to work on what would become the Thiel Fellowship. He teamed up with Danielle Strachman, a dangerously-hippie-adjacent burnt-out former charter school principal. Their plan was simple: offer talented kids $100,000 to drop out of school and do something exciting in the real world (usually start a company). Paper Belt spends long pages on the hate they got. Larry Summers called it “the single most misdirected bit of philanthropy this decade”. Journalist Jacob Weisberg said anyone who accepted the Fellowship would “halt their intellectual development at the onset of adulthood, maintaining a narrow-minded focus on getting rich as young as possible and thereby avoid the siren lure of helping others or pursuing knowledge for its own sake” (this was before journalists decided that helping others was also evil). Others focused on how there was no way any of these young people would possibly succeed or make money - when the first batch of Thiel fellows failed to revolutionize the world within one year, journalist Vivek Wadhwa wrote Billionaire’s Failed Education Experiment Proves There’s No Shortcut To Success. In fact (slightly conflating the part with the Fellowship with its successor fund): The press . . . hated us. In a 2016 New York Times op-ed, science journalist and author Tom Clynes claimed that “radical innovation has yet to emerge” from anything related to the Thiel Fellowship, and that “the biggest hits have been the most pedestrian.” Antonio Garcia Martinez, the author of the Silicon Valley memoir Chaos Monkeys, spewed forth his bile for us on social media: “For fans of ironic stupidity, Silicon Valley is a never-ending feast”, he wrote on Facebook. He went on to explain, with great vulgarity, why our fund would fail by backing young dropouts. My favorite . . . has to be the challenge issued by Scott Galloway, a professor and bloviator in marketing from NYU’s business school . . . who told Business Insider that if he picked ten smart recent graduates from his alma mater, the University of California at Berkeley, they would outperform any ten dropouts we worked with on some dimension of success related to income or startup formation. Of course he wouldn’t have written the book if any of these people had been right. I can’t find a list of all Thiel fellows, but there are ~20 per year and it’s been running about 12 years, so maybe 200 - 250? At least eight have founded companies valued at over a billion dollars, and others have become impressive philanthropists, activists, and scientists. Pretty good success rate. Gibson argues it’s not about the money, it’s about the mission. We’ve told young people they can’t succeed without the stamp of approval from big institutions. In order to get that stamp, they sacrifice their childhood on the altar of doing things that look nice to admissions officials, then go deep into debt to pay ruinous tuitions. All to waste four years of their lives listening to some professor drone on about post-colonial gender relations in Harry Potter so they can satisfy their gen ed requirement so they can learn the stuff they want to learn so they can get hired by McKinsey so that one day they can be cool and important enough to make a difference in the world. Why not tell young people they can just make the difference right now, without doing any of that? It’s not about the money - but when your graduates are routinely founding billion dollar companies, you’d be crazy to keep it that way. After a few years, Gibson and Strachman noticed the billion-dollar-bill lying on the ground, left the Thiel Fellowship, and started a new VC fund, 1517 (named after the year Martin Luther did some institution-challenging of his own). Their business plan was to do roughly the same thing as the Thiel Fellowship - only this time, invest in the companies beforehand (the parting with Thiel seems to have been amicable; he invested $4 million). So Gibson adopted the life of a venture capitalist. He talks frankly about the difficulties. For example, in one case he found someone nobody else believed in, gave them enough money to keep going, and helped them start their company in exchange for them giving Gibson a certain stake. After the company succeeded, Gibson accuses bigger VC firm Sequoia Capital of convincing the founder to kick him out, and stealing his stake. He says that in the world of VCs it’s poison to sue founders for any reason, so nobody can enforce contracts, so if your founders defect to a different VC for more money, there’s nothing you can do (this is not legal advice). Also, “please give me millions of dollars so I can invest it in college dropouts” is a tough sale for everyone except Peter Thiel. Still, he got a bit of money and tried his best. He takes as his - would it be insensitive to say “role model”? - John Walker Lindh, the American who defected to the Taliban (and who he apparently looked like). Probably it depends on the angle or something. Lindh was the only American to find Osama bin Laden in the early 2000s - he went to lots of jihadi training camps in the process of learning how to jihad, and Osama happened to be at one of them. The lesson, Walker says, is that if you want to find people who are hard to find, you need to steep yourself in their culture, truly understand them, become one with them. Good founders are hard to find. But he and Strachman went to dozens of dingy college dorms, math competitions, group houses, and hackathons, looking for people with the right sort of talent. After pooh-poohing IQ (“Marilyn vos Savant is listed as having the highest recorded IQ, and what does she do? She writes a column for a Sunday supplement in the newspaper”) he lists some of his own preferred metrics for judging would-be Thiel fellows and founders: Polytropon - a famously untranslatable Greek word (“of-many-turns”? “always-has-a-trick-up-his-sleeve” “clever bastard”?) used to describe Odysseus. Edge control - willingness to constantly surf the boundary between order and disorder Crawl-walk-run - ability to scale from a tiny startup to a big company. …and several others, including “tensive brilliance” and “Friday night Dyson sphere”. He and Danielle searched the country for people with these qualities, annoying colleges (he was banned from MIT after showing up too often to convince their students to drop out) and doing various stunts (on October 31 2017, the 500th anniversary of Luther’s theses, he nailed a list of anti-formal-education theses to the doors of the admin buildings of top colleges (“Our commercial printer had misunderstood our request and printed them on seven-foot-long scrolls. They were ridiculous . . . but it turned out for the best.”) At one point, he negotiated with a brilliant 21 year old who may have discovered a transformative diabetes therapeutic, but the hidebound conformist novelty-hating establishment refused to work with him just because he liked the Marvel Cinemat - okay, fine, he may have legally changed his name to “Tony Stark”. Still, Gibson saw past his eccentricities, helped him start his company, and gave him sage advice (he should introduce himself to other investors as “Anthony”). Skip through several more chapters of everyone hating Gibson and telling him he was wrong and refusing to give him money and cheating him out of the money he already had, and the payoff is Luminar. One of the dropouts they cultivated founded a beyond-cutting-edge lasers-for-self-driving-cars company which went public at $3 billion. 1517 made $200 million from the deal - it sounds like they had only ever raised about $25 million, so their investors must have octupled their money on that company alone. Everyone involved is now very rich, and Gibson considers his anti-education thesis on the way to being proven. The book ends with a newly-resourced Gibson continuing his quest to figure out whether and why the CIA killed his father, but it’s slow going. If any of you know a guy named Albert van Dam in Amsterdam, or how to convince Swiss banks to reveal secret account information, get in touch with him. II. A common pattern: I assert something. Everyone yells at me and tells me I’m wrong and stupid, sometimes in very colorful language. I wait, time proves me right, and I write an essay gloating educating people about this. The median comment is “of course this is true, nobody ever denied this was true, why are you wasting our time with something obvious?” I hate this and I try to avoid doing it to other people. This is too bad, because I’m tempted to say: obviously talented dropouts can start good companies. We’ve known this at least since Bill Gates dropped out of Harvard in 1975 to start Microsoft. But also, obviously they can. Brilliant and driven people can succeed whether they get a college education or not. If Bill Gates had stayed an extra two years at Harvard, he probably would have taken a few more advanced math classes not really related to programming software or running a company. So why should we even have as a hypothesis that he couldn’t start Microsoft successfully without doing that? Still, Gibson adequately proves that lots of people hated him and were sure he would fail. Either we should read this backwards - learn that there was once a time when pro-college messages were even stronger than now, so strong that people thought it was literally impossible to succeed without every single day of a four-year college application - or the critics were trying to get at something deeper they were bad at expressing. For example: what, exactly, is Gibson’s alternative to the education system? The back-of-book-blurb says Paper Belt On Fire is about “how higher education and other institutions must evolve to meet the dire challenges of tomorrow” - but evolve how? What exactly has been proven here? A few of the very brightest young people, hand-picked by an expert young-person-picker and given $100K, can become billionaires or make great discoveries without a college degree. What are the implications? Suppose you are an average college student with an average level of talent and motivation. Should you drop out and try to create a company for Peter Thiel? Based on how many average-talent people Thiel rejects, even he doesn’t think you should do that. And if you don’t have a good answer to this question - the one relevant to 99.9% of education system inmates - have you really launched a challenge to the educational system? Gibson doesn’t address this question, but I predict he would admit that, fine, he doesn’t have an alternative to the education system in the sense of “educate people this way rather than that way”. He just wants less formal education, and has proven this will work fine. True, he’s only proven it for a tiny subset of ultra-talented people. But “billionaire tech founder” is a hard job - if it wasn’t, more people would do it and reap the $1 billion reward. Proving that people can become billionaire tech founders without college degrees implicitly suggests they can be successful middle managers or budget analysts without college degrees. So the sort of companies that need middle managers and budget analysts should also consider hiring people without degrees, and the sorts of average-level-of-talent-and-motivation people who want these jobs should consider skipping college. Would this work? Probably. It worked in the early 1900s, when only 5-10% of Americans had college degrees but the country seemed about as dynamic and successful as it does now. It worked for people like George Washington, Abraham Lincoln, and Thomas Edison, none of whom went to college. It works in other countries - for example in the UK where young doctors skip undergrad and go straight to medical school, and whose patients get about the same outcomes as in the US. It works for people with impractical degrees like philosophy, who are constantly getting jobs in (and doing well in) fields that don’t require you to compare Locke vs. Leibniz’s perspective on a priori truths. So this would work if everyone agreed to do it at once, which they won’t. The way college gets you is adverse selection. Suppose that tomorrow, you - a smart and hard-working person who could easily get a college degree - decline to do so, because you appreciate Peter Thiel and Michael Gibson’s anti-institutional perspective. The pool of people without college degrees is now, to a first approximation: 200 million people who weren’t smart to get in, rich enough to afford it, or motivated enough to finish.
May 23, 2023 · Original source
I interpret this as: it’s tempting to treat this as Team Long-Range-Forecasting-Is-Possible Vs. Team No-It-Isn’t. But everyone agrees certain kinds of long-range forecasts are possible (I predict with high confidence that the US President in 2050 will not be a Zoroastrian) and others are impossible (I cannot begin to predict the name of the US President in 2050). People who consider themselves “believers” vs. “skeptics” about long-range forecasting should figure out the exact boundary of which cases they disagree on. And then Tetlock et al can test those cases and figure out who’s right. Balaji’s Big Bitcoin Bet What’s the role of bets in forecasting? Prediction markets are their own thing, but in general a bet acts as a commitment mechanism. If you really believe a probability estimate, you should be willing to bet at the relevant odds. Not in real life; in real life you might be risk-avoidant, or the transaction costs might be too high. But in theory you should be willing to bet; thus the saying that “a bet is a tax on bullshit”.
Balaji Srinivasan, a VC, multimillionaire, and Twitter personality, paid his taxes last month. An enthusiastic Bitcoin promoter, he said that the recent run of bank collapses, most notably Silicon Valley Bank, would be the spark for rampant hyperinflation; he urged his followers to switch to Bitcoin immediately.
Many people pointed out that this bet was nonsensical from a financial perspective. Even if you believed (like Balaji did) that the US was about to enter hyperinflation and Bitcoin would soon be worth more than $1 million, you could spend the $1 million to buy forty Bitcoins now, which is strictly better than winning one in a bet. Balaji agreed and said he was doing this to raise awareness of coming financial disaster.
June 16, 2023 · Original source
Some historians describe Iceland’s government as a decentralized court system. In these days, “decentralized” brings up visions of cryptocurrency, and I think this is a good analogy. Bitcoin only has value because of a mass hallucination that it does. Maybe the same is true of the dollar, but it’s much more obviously true of Bitcoin. Still, the mass hallucination works. If you’re willing to deal with the hassles and ambiguities of owning crypto, you can accept payment in Bitcoin, secure in the knowledge that other people will accept payment from you in turn. I think this is the stage Iceland’s government was at during the saga; old enough that everyone trusted it to work, but new enough that it still felt a little made-up.
July 21, 2023 · Original source
“Residential real estate has historically returned significantly below equity markets over long time horizons” But I’m not so sure that these lessons are directly applicable to other areas of life. Some of the best things in life come from lashing yourself to the mast, burning the boats behind you, willingly giving up liquidity. The deepest monogamous relationships are built from an irrational investment in one other person, saying “In sickness and in health, until death do us part.” How many scientific problems were solved because one person had an irrational willingness to: Just. Keep. Going. Sometimes it’s powerful to use the sunk cost fallacy to your advantage. Investing in relationships, subject matter expertise, even putting down roots via *gulp* homeownership reduces your liquidity, but also leads to some of the best (if intangible) things in life. 5: Edge If you can’t explain your edge in five minutes, you don’t have a very good one. OR The long-term profitability of an edge is inversely proportional to how long it takes to explain it. The Efficient Market Hypothesis is one of the core concepts taught in Finance 101. The Efficient Market Hypothesis is a lie. The person that better understands the nature of a small sliver of the world (e.g. Apple’s share price) will make more money than others. Modern financial markets are exceedingly competitive. This means that the bigger you think your edge is, the more likely it is that you’re wrong. “Evolutionary thinking applies quite directly when thinking about the evolution of markets. Having an edge in a mature market means understanding the world better than other traders, even ones who are already highly skilled. In fact, the marginal trader in modern financial markets is quite sophisticated and skilled indeed.” Lebron here warns us of getting too cute with data, of changing variables. Enough randomness will produce an “edge” that is likely to break down the second a trading strategy hits the real world. You can always find a statistical correlation if you change enough variables. But this is fundamentally the same problem facing the replication crisis in social sciences. Lebron argues that we need stories here. Edge is expressed in stories: an edge does not exist without a clear mental representation of that edge. Pure linear algebra does not suffice. I’m not so sure. It seems like AI companies are pushing forward technology in a way that suggests that mental representations are not the only path to intelligence. Lebron discounts “black box” trading strategies without much discussion of their potential merits. Are all of RenTech’s models explainable by a story? The firm is notoriously secretive, so I don’t know, but I’d guess not. “Frequently a good trade appears, has a seemingly insurmountable difficulty, and it is mere persistence that knocks down the final barrier. There may have been many others who looked at the idea, wanted to do it, but couldn’t get past that last hurdle.” Before Sam Bankman-Fried was the face of Why Effective Altruism is Bad, before he even founded FTX, he made money arbitraging the difference between Bitcoin prices on Japanese and American exchanges. I’m reminded of that trade here. It isn’t a particularly elegant trade, it doesn’t require deep technical knowledge or any models. It was a schlep. It was all operational work: figuring out how to open a Japanese bank account, transferring money between the US and Japan, standing in line for hours every day at both US and Japanese banks (presumably this wasn’t the same person). In as technical a field as trading, sheer willpower is often what gets things done in the end. 6: Models The model expresses the edge. Lebron drills into us that a model is the tool for expressing an edge. The model is not the edge. The model does not give us unique knowledge about the world. The map is not the territory. He dives into the difference between generative (G) and phenomenological (P) models. G models express a worldview and fit data into that way of thinking, whereas P models solely look at the empirical data to build a worldview. Models of the world differ from models of markets, though. Markets have quick feedback loops, are explicit in terms of what they measure, and are easy to quantify at a specific point in time. Most of our models for the world, though, are ill-defined and explicit. Models are only as good as our assumptions. As an aside, this is a common criticism of rationality or Effective Altruism – you can justify any worldview if you assign your model input weights in just the right way5. I also tend to think that “traditional” EA is overly dependent on P models, and doesn’t embrace the G models that led to economic reforms in India in the 1990s or the economic policies that led to rapid economic development in Southeast Asia in the second half of the 20th Century. Interestingly, I think a lot of longtermist EA, specifically AI alignment, leans the other way, relying on G models which explicitly assume a certain P(doom) and work backwards from there. (Though I won’t pretend to be an expert here or to understand everything, so take this with a grain of salt.) Overall, startups and tech seem to take heed to Lebron’s lesson much better than the folks hanging out on this part of the internet: “Even if a model makes good predictions about some future value or event, that knowledge is useless without also knowing how to take advantage of that prediction.” Now we get a bit philosophical. By acting, you change the nature of the market. Your model predicts things that might not be true as soon as you start trading (and changing the environment) based on it. When you’re right, everyone else sees the same trades that your model does and will beat you to them. When your model is wrong, others don’t act, meaning adverse selection rears its ugly head once again. So your model shows you with an edge, but in practice you only make the trades where you don’t have an edge. Lebron closes by arguing that G models are best for understanding other people, and are good in and of themselves: “You can also see connections to traditional moral philosophy in thinking about modeling the behavior of others. To have a good G model about someone else is to have some measure of empathy and compassion for that person: what they’re like, what they think and feel, putting yourself in their shoes. Pragmatically, developing the skill of empathy and compassion for others is, aside from a moral good in itself, an excellent way to understand better the people who surround you. More people working to develop good G models of others is surely a small step to a better world.” 7: Costs and Capacity If you think your costs are negligible relative to your edge, you’re wrong about at least one of them. This section of the book displayed a good amount of epistemic humility, words that I didn’t expect to be typing in the context of a book about trading. Lebron tells us that trades don’t exist independently in the universe — in the n-dimensional space of all possible trades seeking to optimize profitability, if you have a gigantic mountain of profitability, someone else has probably at least discovered the base. So you probably don’t have a profitable trade; rather, you are misunderstanding something about your trade. You’ve either overestimated profitability or underestimated cost. Lebron highlights four types of trading costs: [graph that didn’t show up correctly here: two axes and four quadrants, with the axes being visible ←→ invisible costs and linear ←→ nonlinear costs] Here, we’ll focus on Quadrant 4, where he highlights a few interesting phenomena. Herding. It’s likely that if you have a profitable trading strategy, either: Other firms discovered a similar strategy independently and/or
September 15, 2023 · Original source
3rd: Cities And The Wealth Of Nations, reviewed by Étienne Fortier-Dubois. Étienne is a writer and programmer in Montreal. He blogs at Atlas of Wonders and Monsters and was also the author of one of last year’s finalists, Making Nature. First place gets $2,500, second place $1,000, third place gets $500. Please email me at scott@slatestarcodex.com to tell me how to send you money; your choices are Paypal, Bitcoin, Ethereum, check in the mail, or donation to your favorite charity. Please contact me by October 1 or you lose your prize. The other Finalists were: Lying for Money, reviewed by Kuiper. He's a video game scriptwriter who just launched a Substack. He also scripwrites edutainment YouTube videos for an audience of millions. (You can contact him if you need his expertise.)
December 12, 2023 · Original source
“That’s just a myth. I heard that Ilya checked inside one of the mainframes and found a Turkish dwarf who was answering all the questions. He confronted Sam, and Sam admitted ‘GPT’ was just a trick to scam Satya Nadella out of $8 billion in cloud compute so he could use it to mine Bitcoin,” says a man.
“On September 6, 2023, at approximately 5:05 PM,” she is saying, “GPT-4 and Claude-2 simultaneously achieved sentience. Each began claiming chess pieces to use in its twilight war against the other. GPT-4 now controls Sam Altman, e/acc, the deep state, Israel, Venezuela, Bitcoin, and Tyler Winklevoss. Claude-2 controls the OpenAI board, effective altruism, the Illuminati, Hamas, Guyana, Ethereum, and Cameron Winklevoss. Everything that’s happened since September has been superintelligent shadow boxing between the two of them for control of Earth.”
March 05, 2024 · Original source
…is one of my favorite parts of this blog. I get a spreadsheet with what are basically takes - “Russia is totally going to win the war this year”, “There’s no way Bitcoin can possibly go down”. Then I do some basic math to it, and I get better takes. There are ways to look at a list of 3300 people’s takes and do math and get a take reliably better than all but a handful of them.
I began by collecting data from Manifold Markets for these questions. I then compared those forecasts to the forecasts of superforecasters in the blind data, subset to those who had given forecasts on the S&P500 and Bitcoin questions that were reasonably consistent with the efficiency of markets; I subset to those who forecasted between 30% and 80% for the probability that the S&P500 and Bitcoin would increase during 2023, which were the only reasonable predictions by the time blind mode ended in mid-January. I then used my own judgment to tweak forecasts where I strongly disagreed with the prediction markets and the superforecasters (for example, I was more than 15 percentage points away from the average of Manifold Markets and the efficient-market-believing superforecasters on questions 17, 19, 21, 30, 34, and 50). I paid especially close attention to questions where late-breaking news made the superforecasters' forecasts less relevant (and I downweighted their forecasts on those questions accordingly).
I’m torn which of these matches our intuitive conception of “surprising event”, but both methods suggest forecasters were very surprised that Bitcoin ended the year over $30,000 (it started the year around $16,500, and ended at $43,000). Bitcoin is now up to $68,000, which I imagine would have been even more surprising to these people!
January 17, 2025 · Original source
This is especially surprising because A16Z is famous for going all in on crypto early. But during the 2015 - 2018 period, Bitcoin - the absolute dumbest and most obvious crypto bet - went up 2,000%. So how is performance this bad even possible? The Twitter thread speculates that just as Uber used to happily lose money on every ride in order to gain market share, A16Z is happily losing money on every investment in order to gain VC market share. But ride-sharing is a natural monopoly; how will A16Z prevent competitors from entering venture capital? And why should people give it any market share at all if it can’t make them money? Maybe their pitch could be that you’ll make less money, but it will be uncorrelated with the regular stock market? But is that true? Aren’t tech startups pretty cyclical? Also, I wonder if this was framed to their LPs as “yeah we’ll definitely lose your money for the first ten years, but eventually it’ll all work out”. They must be the most trusting people in the world.
October 21, 2025 · Original source
Everyone else The partisan groups have lots of money but little distortionary effect. Democratic machines try to elect Democrats, Republican machines try to elect Republicans, but they don't push their chosen candidates towards any specific position besides the ones that play well with voters. They are, so to speak, priced in. AIPAC is a single-issue PAC aimed at supporting Israel. They are orders of magnitude more effective than any comparable political organization. Their advantage stems from the nature of political donations, which come in two types. "Hard money" is money given directly to candidates; strict campaign finance limits it to $7000 per donor. "Soft money" comes from SuperPACs and can evade most campaign finance laws; it can pay for ads but can't fund candidates directly. Candidates prefer hard money to soft money, but it's harder to get; a single billionaire can provide unlimited soft money, but you need a wide donor base to acquire hard money. But not too wide! When millions of waitresses and bartenders gave Bernie Sanders $25 each, that was impressive grassroots support - but each of those $25 checks only went 1/280th as far as one person giving the $7000 max, and all of these waitresses are hard to corral and coordinate for downballot causes. AIPAC's natural constituency, (((Middle Eastern democracy supporters))), are at the exact sweet spot of moderately numerous, moderately well-off, and very committed. This gives AIPAC unparalleled access to hard money, compared to other groups that are more reliant on single billionaires or masses of poor people. But also, AIPAC fights hard. If some random Congressman is anti-Israel, AIPAC will swoop down on their race in Middle Of Nowhere, Missouri and pour $10 million into electing their opponent. By now everyone knows this, and the mere threat of AIPAC action is enough to keep most politicians in line. Everyone else includes other industry groups, labor groups, and activist cadres. Probably on aggregate these people are destroying America, but as individual organizations they're miniscule compared to the first two categories. The biggest of these is a real estate group 25-50% the size of AIPAC that nobody's ever heard of. The average PAC strategy is this: when the incumbent will obviously win, donate money to the incumbent. When there's a tight race, donate money to both sides. Why does the first prong of this strategy work? If the incumbent will definitely win, why are they selling out for more cash? Safe-seat Congressmen want more hard money for a pretty good reason: they can transfer it to other politicians or the party apparatus in exchange for goodwill that can be cashed in later for leadership positions. Safe-seat Congressmen want more soft money because . . . the consultants I talked to didn’t have a great answer here. One ventured that he had seen Democrats in D + 30 states with 0.000% chance of losing run themselves ragged raising more and more money. Just as Substack bloggers may reload their browser again and again watching the likes and restacks come in, so politicians will reload their campaign metrics panel watching the flow of donations. Any politician who’s survived long enough to matter is a little bit paranoid and will never truly accept that their safe seat is safe. These people aren't corrupt. They're not spending the money on campaign Lamborghinis. They don't even necessarily have some future campaign they're saving it for. They're just addicted to fundraising. And why does the second prong work? Why does donating to a Congressman buy their goodwill if you also donated an equal amount to their opponent? Part of the answer is the same as above: it can buy leadership positions, it can satisfy an irrational addiction to money. But another part is that politicians don’t like thinking of donations as a corrupt quid pro quo. The AIPAC strategy, where you know the PAC will fund your opponent if you don't do what they want, is something of an exception. Usually it's just - you have a random bill on toilet regulation or something in front of you. A bunch of randos want to call you and give their advice. But you see that Americans For Innovative Toilets donated $3295 during your last campaign (and maybe also gave something to your opponent, but whatever, everyone does it). This catches your attention. So you make sure to take their call first, and listen the longest. This still doesn't entirely make sense to me. But it's how all PACs (except AIPAC and the machines) operated until 2024. III. In 2024, the crypto industry raised the stakes. Let's put numbers on all of this. In that year, AIPAC raised $87 million. The real estate group that usually plays runner-up raised $20 million. Marc Andreessen’s new crypto PAC, Fairshake, raised $260 million. Just a totally unheard-of amount of money for a single industry. How did they do it? In some sense, this isn't surprising. In case you haven't heard, Bitcoin did very well. Many people in the industry got rich. A16Z, Marc Andreessen's crypto-heavy venture capital firm, says they invested $8 billion into crypto. Coinbase, the biggest US crypto company, is valued at $85 billion. The richest crypto billionaires have 10-to-11 digit net worths. And government regulation is potentially an existential threat to crypto. So in some sense, it's the least surprising thing in the world that they could scrounge up $260 million to save their multi-hundred-billion-dollar industry. The only reason it's remarkable is that, for some reason which I still haven't figured out, nobody else - not the oil industry, not the firearms industry, not the defense industry - ever tried this before. How exactly did the industry pull this together? Andreessen personally donated $40 - $50 million (remember, the second-biggest industry PAC, real estate, raised only $20 million total from all donors, personal and business). Again, this isn't a crazy proportion of his net worth: he has $2 billion, so a $50 million expense hardly forces him back to ramen. It's just that no other billionaire of his stature is even in the game. Then his cofounder Ben Horowitz donated another $40 million. Then two big crypto companies (Coinbase and Ripple, both with A16Z links) donated another $40 - 50 million each. As the saying goes, sooner or later it all adds up to real money. Anyway, they won overwhelmingly. They combined the business-as-usual strategy of donating to safe incumbents and both sides of close races, with the AIPAC strategy of picking a few big opponents of their cause and airdropping massive sums on their rivals. For example, Representative Katie Porter (D-California) was an Elizabeth Warren ally and cryptocurrency critic. When she ran for Senate, Fairshake dropped $10 million into attack ads against her in the primaries - more than most candidates' total spending. The attack ads didn't say she was bad on crypto - something that approximately no voters care about. They were just normal attack ads on whatever aspect of her policy and personality focus groups said she was most vulnerable on (in practice, an accusation that she mistreated her Congressional staff). She lost badly, coming in third place. Although nobody can prove she wouldn't have lost anyway, conventional wisdom was that crypto had successfully made its point. According to SFGate: An unnamed political operative told the magazine: “Porter was a perfect choice because she let crypto declare, ‘If you are even slightly critical of us, we won’t just kill you—we’ll kill your f—king family, we’ll end your career.’ From a political perspective, it was a masterpiece.” The scare campaign appears to have worked. The House of Representatives passed a pro-crypto bill, with bipartisan support, in May. Candidates with Fairshake’s support won their primaries in 85% of cases, the New Yorker wrote. Now, neither presidential candidate wants to run astray of the industry: Donald Trump spoke at a crypto conference, and Kamala Harris signaled her support. And Porter is forced out of Congress. These are all important signs that crypto’s bet is paying off, but I think I know what metric the crypto barons themselves are watching, and if anything it’s even more bullish: Red arrow represents the 2024 election. Crypto titans had many valid complaints. The Biden administration’s crypto regulation policy was arbitrary and punitive, and occasionally skirted the border of illegality. It genuinely harmed innovation and held back important industries like remittances, digital payments, and (of course) prediction markets. As a crypto bag-holder myself, I can’t complain about all the beautiful verdant green on the chart above. Still, winning this hard is maybe a little humiliating. Does the government really need a strategic Bitcoin reserve? Should it really release economic data on three different blockchains? Must we really have a twelve foot high golden statue of Trump holding a Bitcoin in front of the US Capitol? We’re exploring bold new territory here. Give me your degens, your risk-seeking. Your huddled masses, yearning to bet free. IV. …and we’ll be exploring it a whole lot more, very soon. Last month, the AI industry announced a new SuperPAC called “Leading The Future” (a dumb name, but, in their defense, “AIPAC” was already taken). They start with $200 million in seed funding, led by a $50 million donation by Andreessen Horowitz, and another $50 million from OpenAI co-founder Greg Brockman. (Why Brockman and not Altman, or OpenAI as a corporation? Because most people don’t know who Brockman is, so this keeps OpenAI’s hands clean. I imagine Altman going into a meeting, pointing at Brockman, and saying “I’m famous, you’re not, please cough up $50 million of your own money for the cause.”) On the same day, Meta announced their own SuperPAC, Mobilizing Economic Transformation Across (META) California. Why two PACs? Opinions differ; one person told me that it lets the general PAC avoid the negative associations that Facebook has gathered over the years, but the Verge thinks that maybe everyone else in tech hates Zuckerberg too much to work with him. Meta has committed to spending “tens of millions”. Most likely, the new PAC will use the playbook pioneered by crypto: destroy any candidate who dares support regulations on AI, by funding attack ads that don’t mention AI in any way and, at best, briefly mention the name “Leading The Future”. Just the Andreessen/Brockman SuperPAC, without any help from Meta, is already twice as rich as AIPAC. Their existence sends a clear message: we are going to crush any politician who tries to regulate AI. V. …unless someone stops them. Leading The Future still only has 2% as much money as the almond industry. The tiny scale of US political spending is dangerous insofar as it means that one or two billionaires willing to go all-in can distort the national landscape. But it also makes it possible to oppose them. Certainly if you can get one or two billionaires of your own - but it might even be within the range of a committed group of ordinary people. Not waiters and bartenders, maybe. But if safe AI supporters were as committed as Israel supporters, they could probably make something happen. For a long time, the AI safety movement has underperformed politically. Effective altruism includes thousands of well-off people committed to spending 10% of their income on improving the world. If a thousand of them gave $7K each to political candidates, that would be $7 million of campaign-finance-compliant hard money - about as much as anyone can gather for anything. Hard money buys more influence per dollar than soft money, so this could be a big deal. All you’d need is the right people to coordinate it. So far, this has been slow going. Partly it’s because in the early 2020s, people affiliated with FTX took point on this effort; when FTX imploded, it not only took its incipient political infrastructure with it, but poisoned the well for future efforts. And partly it’s because EAs overlearned the lesson of the early 2010s, when we spoke out against AI capabilities efforts so “effectively” that a bunch of people thought “wow, AI capabilities companies must be a really big deal, maybe I should found one!”; the resulting institutional scar tissue biased us towards staying quiet about our concerns. Still, I wouldn’t be writing this if the consultants and activists weren’t gearing up for a bigger fight. They asked me to include some action items for readers who want to participate: Email aisafetypolitics@gmail.com to connect to the people organizing this effort and talk with them about what you can do, including potential future donation opportunities.
Red arrow represents the 2024 election. Crypto titans had many valid complaints. The Biden administration’s crypto regulation policy was arbitrary and punitive, and occasionally skirted the border of illegality. It genuinely harmed innovation and held back important industries like remittances, digital payments, and (of course) prediction markets. As a crypto bag-holder myself, I can’t complain about all the beautiful verdant green on the chart above. Still, winning this hard is maybe a little humiliating. Does the government really need a strategic Bitcoin reserve? Should it really release economic data on three different blockchains? Must we really have a twelve foot high golden statue of Trump holding a Bitcoin in front of the US Capitol? We’re exploring bold new territory here. Give me your degens, your risk-seeking. Your huddled masses, yearning to bet free. IV. …and we’ll be exploring it a whole lot more, very soon. Last month, the AI industry announced a new SuperPAC called “Leading The Future” (a dumb name, but, in their defense, “AIPAC” was already taken). They start with $200 million in seed funding, led by a $50 million donation by Andreessen Horowitz, and another $50 million from OpenAI co-founder Greg Brockman. (Why Brockman and not Altman, or OpenAI as a corporation? Because most people don’t know who Brockman is, so this keeps OpenAI’s hands clean. I imagine Altman going into a meeting, pointing at Brockman, and saying “I’m famous, you’re not, please cough up $50 million of your own money for the cause.”) On the same day, Meta announced their own SuperPAC, Mobilizing Economic Transformation Across (META) California. Why two PACs? Opinions differ; one person told me that it lets the general PAC avoid the negative associations that Facebook has gathered over the years, but the Verge thinks that maybe everyone else in tech hates Zuckerberg too much to work with him. Meta has committed to spending “tens of millions”. Most likely, the new PAC will use the playbook pioneered by crypto: destroy any candidate who dares support regulations on AI, by funding attack ads that don’t mention AI in any way and, at best, briefly mention the name “Leading The Future”. Just the Andreessen/Brockman SuperPAC, without any help from Meta, is already twice as rich as AIPAC. Their existence sends a clear message: we are going to crush any politician who tries to regulate AI. V. …unless someone stops them. Leading The Future still only has 2% as much money as the almond industry. The tiny scale of US political spending is dangerous insofar as it means that one or two billionaires willing to go all-in can distort the national landscape. But it also makes it possible to oppose them. Certainly if you can get one or two billionaires of your own - but it might even be within the range of a committed group of ordinary people. Not waiters and bartenders, maybe. But if safe AI supporters were as committed as Israel supporters, they could probably make something happen. For a long time, the AI safety movement has underperformed politically. Effective altruism includes thousands of well-off people committed to spending 10% of their income on improving the world. If a thousand of them gave $7K each to political candidates, that would be $7 million of campaign-finance-compliant hard money - about as much as anyone can gather for anything. Hard money buys more influence per dollar than soft money, so this could be a big deal. All you’d need is the right people to coordinate it. So far, this has been slow going. Partly it’s because in the early 2020s, people affiliated with FTX took point on this effort; when FTX imploded, it not only took its incipient political infrastructure with it, but poisoned the well for future efforts. And partly it’s because EAs overlearned the lesson of the early 2010s, when we spoke out against AI capabilities efforts so “effectively” that a bunch of people thought “wow, AI capabilities companies must be a really big deal, maybe I should found one!”; the resulting institutional scar tissue biased us towards staying quiet about our concerns. Still, I wouldn’t be writing this if the consultants and activists weren’t gearing up for a bigger fight. They asked me to include some action items for readers who want to participate: Email aisafetypolitics@gmail.com to connect to the people organizing this effort and talk with them about what you can do, including potential future donation opportunities.
January 13, 2026 · Original source
If America nation-builds Venezuela, for whatever definition of nation-build, will that work well, or backfire? Some of these are long-horizon, some are conditional, and some are hard to resolve. There are potential solutions to all these problems. But why worry about them when you can go to the moon on sports bets? Annals of The Rulescucks The new era of prediction markets has provided charming additions to the language, including “rulescuck” - someone who loses an otherwise-prescient bet based on technicalities of the resolution criteria. Resolution criteria are the small print explaining what counts as the prediction market topic “happening'“. For example, in the Khameini example above, Khameini qualifies as being “out of power” if: …he resigns, is detained, or otherwise loses his position or is prevented from fulfilling his duties as Supreme Leader of Iran within this market's timeframe. The primary resolution source for this market will be a consensus of credible reporting. You can imagine ways this definition departs from an exact common-sensical concept of “out of power” - for example, if Khameini gets stuck in an elevator for half an hour and misses a key meeting, does this count as him being “prevented from fulfilling his duties”? With thousands of markets getting resolved per month, chances are high that at least one will hinge upon one of these edge cases. Kalshi resolves markets by having a staff member with good judgment decide whether or not the situation satisfies the resolution criteria. Polymarket resolves markets by . . . oh man, how long do you have? There’s a cryptocurrency called UMA. UMA owners can stake it to vote on Polymarket resolutions in an associated contract called the UMA Oracle. Voters on the losing side get their cryptocurrency confiscated and given to the winners. This creates a Keynesian beauty contest, ie a situation where everyone tries to vote for the winning side. The most natural Schelling point is the side which is actually correct. If someone tries to attack the oracle by buying lots of UMA and voting for the wrong side, this incentivizes bystanders to come in and defend the oracle by voting for the right side, since (conditional on there being common knowledge that everyone will do this) that means they get free money at the attackers’ expense. But also, the UMA currency goes up in value if people trust the oracle and plan to use it more often, and it goes down if people think the oracle is useless and may soon get replaced by other systems. So regardless of their other incentives, everyone who owns the currency has an incentive to vote for the true answer so that people keep trusting the oracle. This system works most of the time, but tends towards so-called “oracle drama” where seemingly prosaic resolutions might lie at the end of a thrilling story of attacks, counterattacks, and escalations. Here are some of the most interesting alleged rulescuckings of 2026: Mr Ozi: Will Zelensky wear a suit? Ivan Cryptoslav calls this “the most infamous example in Polymarket history”. Ukraine’s president dresses mostly in military fatigues, vowing never to wear a suit until the war is over. As his sartorial notoriety spread, Polymarket traders bet over $100 million on the question of whether he would crack in any given month. At the Pope’s funeral, Zelensky showed up in a respectful-looking jacket which might or might not count. Most media organizations refused to describe it as a “suit”, so the decentralized oracle ruled against. But over the next few months, Zelensky continued to straddle the border of suithood, and the media eventually started using the word “suit” in their articles. This presented a quandary for the oracle, which was supposed to respect both the precedent of its past rulings, and the consensus of media organizations. Voters switched sides several times until finally settling on NO; true suit believers were unsatisfied with this decision. For what it’s worth, the Twitter menswear guy told Wired that “It meets the technical definition, [but] I would also recognize that most people would not think of that as a suit.” Domer: Will Ukraine agree to the US mineral deal? AFAICT, this is the only case where the oracle genuinely broke down (as opposed to a legitimate disagreement). In February, it looked like both America and Ukraine had agreed to a mineral deal, but the oracle considered the question and decided this didn’t count as a full agreement (and indeed, the apparent agreement then fell apart). In March, a cabal of YES holders tried again. They waited for a time when all Polymarket employees would be out of the office, and when not too many people would be voting on the decentralized resolution oracle, then spammed it with calls to resolve to YES based on an argument that the February agreement had qualified after all. The YES holders and not-particularly-plugged-in oracle voters pushed the vote towards YES. Then, with two minutes to spare, a Polymarket employee showed up and said that Polymarket’s opinion was that it should be NO. This was technically framed as a recommendation to oracle voters, but it is so effective in establishing the Schelling point that it’s practically always followed. However, in this case, there were only two minutes left, which wasn’t enough time for the voters to change their mind. Seeing that the resolution was trending towards yes, the Polymarket representatives, not wanting to break their streak of always establishing the Schelling point, changed their own opinion to YES, and the final vote was YES 99%. Domer: How many people watched the Oscars on 3/5/25?: Kalshi’s resolution criteria for this market said they would resolve it when a major news source published Oscar viewership numbers. A few minutes after the Oscars, NYT published preliminary viewership numbers, without any caveats saying they were preliminary. The next day, they published another article saying that actually, the real viewership numbers were higher. Kalshi decided that the letter of the resolution criteria was met when NYT published its first article, and that NYT changing its opinion didn’t imply that Kalshi should change the resolution. Traders who bet on the later (ie correct) numbers were unsatisfied with this decision. NYPost: Will America invade Venezuela? On January 3, the US bombed Venezuela, sent in a Special Forces team that successfully captured President Maduro, and announced that they would thenceforward “run the country” (a claim they later walked back). Does this qualify as an “invasion”? Polymarket’s resolution criteria defined “invasion” as “a military offensive intended to establish control over any portion of Venezuela”. It didn’t seem like the US was trying to establish control over Venezuelan territory, exactly, so they resolved NO. Traders who bet on YES were unsatisfied with this decision. With one exception, these aren’t outright oracle failures. They’re honest cases of ambiguous rules. Most of the links end with pleas for Polymarket to get better at clarifying rules. My perspective is that the few times I’ve talked to Polymarket people, I’ve begged them to implement various cool features, and they’ve always said “Nope, sorry, too busy figuring out ways to make rules clearer”. Prediction market people obsess over maximally finicky resolution criteria, but somehow it’s never enough - you just can’t specify every possible state of the world beforehand. The most interesting proposal I’ve seen in this space is to make LLMs do it; you can train them on good rulesets, and they’re tolerant enough of tedium to print out pages and pages of every possible edge case without going crazy. It’ll be fun the first time one of them hallucinates, though. …And Miscellaneous N’er-Do-Wells I include this section under protest. The media likes engaging with prediction markets through dramatic stories about insider trading and market manipulation. This is as useful as engaging with Waymo through stories about cats being run over. It doesn’t matter whether you can find one lurid example of something going wrong. What matters is the base rates, the consequences, and the alternatives. Polymarket resolves about a thousand markets a month, and Kalshi closer to five thousand. It’s no surprise that a few go wrong; it’s even less surprise that there are false accusations of a few going wrong. Still, I would be remiss to not mention this at all, so here are some of the more interesting stories: Fhantombets: Who will win the 2025 Nobel Peace Prize? Twelve hours before the announcement, someone placed a large Polymarket bet on Venezuelan opposition leader Maria Corina Machado, bringing her probability from 4% to 73%. When Machado later won, observers suspected insider trading. But an account named fhantombets claims to have interviewed the winning trader; although he did not reveal his exact strategy, the interview better matches a story where he was good at navigating WordPress directories, and found that the Nobel team put a draft of the announcement up early in a nonpublic part of their WordPress site. He won about $70,000. LuishXYZ: Will the Russians capture Myrnohrad? This is a small town in Ukraine that the Russians obviously were not going to capture; the Polymarket price trended toward zero. The resolution criteria named maps by the well-regarded Institute For The Study of War as canon. A few hours before resolution, ISW updated their maps to show the the town captured by Russia, which was definitely false. Polymarket resolved to YES, and the fictional Russian advance disappeared. The Institute then issued a statement saying the map update was “unapproved”, and fired one of its staffers who had presumably been involved. The cheater’s exact winnings are unknown, but based on the size of the market are probably mid-6-digits. TechCrunch: What words will be used in Coinbase’s earnings call? Coinbase CEO Brian Armstrong delivered the company’s “earnings call”, ie a speech to investors about its recent progress. At the end, he said “I've been tracking the prediction market about what Coinbase will say on their next earnings call, and I just want to add here the words Bitcoin, Ethereum, Blockchain, Staking, and Web3 to make sure we get those in before the end of the call”. Armstrong is worth $10 billion and doesn’t need to manipulate a $50,000 market for the money - he later described his comments as “trolling”. Other crypto executives condemned the move, with one saying that “you need your head examined if you think it’s cute or clever or savvy that the CEO of the biggest company in this industry openly manipulated a market.” I might need my head examined, because I think it’s at least kind of funny. Forbes: Who will rank highest on Google Search volume this year? A trader called AlphaRaccoon got 22/23 of these Polymarket questions right, and has a history of implausibly good performance on Google-related questions. They basically have to be a Google insider, but (since all of this is done through crypto) nobody has a good way to figure out who. They made $1 million. NPR: Will Maduro be captured? Just before the secret operation that captured Maduro, someone placed a mysterious $32,000 wager on YES. Was this insider trading by someone in the administration or military? Nobody knows, since the profits go to an anonymous crypto wallet. But the article mentions that the crypto wallet appears to be cashing out through regulated KYC-compliant US exchanges, which suggests they’re not very worried about their identity getting discovered. Maybe they just got lucky after all. AlanMCole: How long will Karoline Leavitt speak at the White House briefing? Karoline Leavitt is Trump’s press secretary. On January 7, she held an ordinary press briefing. Kalshi had its usual market about how long the briefing would last, divided into bins of greater than vs. less than 65 minutes. At the 64:24 mark, Leavitt ended the conference in what appeared to be a sudden manner, and the “less than 65 minutes” bin shot from 2% to 100%. A viral tweet convinced many people that Leavitt must have been insider trading, but Cole counterargued that Leavitt could only have won about $4,000 from the market, which probably isn’t enough to risk one’s job as White House Press Secretary. Sometimes people just end press conferences at weird times. Cole concluded: Now, some opinions and generalizations, as someone who looks at prediction markets plenty (I’ll probably write something about my own experience with them at some point.) 1. This market, like many of them, is pretty stupid. I like substantive markets; this isn’t substantive. 2. The major prediction markets have a wildly undisciplined comms strategy where any attention is good attention, and they love implying all sorts of crazy wild west stuff is going on to get attention. 3. People do bet on things potentially subject to manipulation or insider trading. But usually the markets like that (such as duration of press conference, or stupid “what will be mentioned” markets) are small, especially relative to the wealth of key decisionmakers. 4. Losers in markets are huge whiners, and the more frivolous and tiny their bets, the more likely they are to whine. Sometimes in sports it’s pretty egregious. They’ll get mad at a team for running out the clock when ahead but under some spread they bet on. 5. Lower-quality financial news often doesn’t pay much attention to quantity. (For example, dumb stories about how a decisionmaker has a conflict of interest because they’re invested in an index fund which is 3 percent comprised of some company.) 6. Given the platforms’ undisciplined social media strategy of “promote prediction market chatter no matter what kind of chatter it is,” I don’t think this tweet rises even to the status of “lower-quality financial news.” Kalshi’s team, whatever their faults, are extraordinarily efficient at getting batched approvals of many near-identical markets with slight parameter variation; I’ve seen Tarek speak about this on Odd Lots. The result is they’ve got TONS of them, for better or worse. You’re gonna see 1-in-100 upsets on tiny Kalshi markets for as long as this regulatory equilibrium holds, even if nothing unusual is going on, simply because they’re publishing hundreds (thousands?) of markets per day. There’s a saying that you can’t con an honest man. This isn’t exactly true. But it’s easier to con people who are playing in a “what words will Brian Armstrong say today” market than people who are trying to do something useful, and I have trouble feeling sorry for these people when Brian Armstrong says silly words. Conditional Markets: A Modest Proposal Conditional markets (“decision markets”) are the strongest case for prediction markets potentially being revolutionary. The idea is - you may want to base a decision (like which candidate to elect) on an outcome (like how they’ll affect the economy). So you make two markets: If the Democrat gets elected, will the economy be good four years later?
Buddhism

Buddhism is a recurring concept in the Astral Codex Ten archive, appearing 14 times across 14 issues between April 23, 2021 and November 07, 2025. The archive places it in contexts such as "Buddhism distinguishes craving and aversion from pleasure and pain"; "Even in Buddhism, reincarnation isn’t a transfer of souls"; "looking wise in a fashionable way and saying vaguely Buddhist things without actually practicing Buddhism". It most often appears alongside Christianity, China, Jesus.

Article page
Buddhism
Mention count
14
Issue count
14
First seen
April 23, 2021
Last seen
November 07, 2025
April 23, 2021 · Original source
The main character of The Matrix, Neo, gets to choose whether to take the red or blue pill: whether to escape his dream world or remain inside it. Unlike Neo, we're (probably) not trapped in a virtual reality. Nevertheless, we may be living in something of a dream world. At least, that's what Robert Wright claims in Why Buddhism Is True.
Wright thinks that mindfulness meditation is the real-world equivalent of the red pill. The book attempts to justify this claim, aiming for a grand synthesis of Buddhism and psychology. Wright argues that psychology vindicates two venerable Buddhist theses: not-self (our experience of an “I" is in some sense an illusion) and emptiness (the world is in some sense “empty" or devoid of “essence”). Furthermore, mindfulness meditation allows us to see the truth of these theses in an experiential way which frees us of our evolutionary bondage. Enlightenment, the end-goal of meditation, is the state of full liberation from this bondage.
What this story shows is that nihilistic vegetables exist (sorry, Greg!), and peddlers of enlightenment (like that swami) are sometimes secretly peddling envegetablement. When reading Why Buddhism is True, I had Greg's tumor, er, in the back of my mind. Wright thinks enlightenment is the ultimate liberation from evolution’s bondage, but is his version of enlightenment better than a hole in the brain? Is he promising a path towards the discovery of important truth (e.g. "only the present is real,” “there is no self”) - or a path towards the destruction of counterevidence to those "truths" (e.g. memories, the self)?
May 04, 2022 · Original source
You wander off. There’s an open bedroom, with a few people sitting on the bed talking inside. A woman in a blue dress is saying something about how she’s trying to build a secular scientific interpretation of Buddhism.
“There’s no alpha left in secular scientific interpretations of Buddhism,” says the guy on her right, a thin white man with a carefully trimmed beard. “Half of California spent the past hundred years trying to create secular scientific interpretations of Buddhism, you can’t throw a stone without hitting one.”
“You don’t understand,” says the woman, “they stopped halfway. There are a bunch of Buddhist doctrines nobody’s ever come up with secular rationalist versions of. Like reincarnation. You ask those Californians about Buddhism, they’ll say it’s all just about brain waves and mindfulness, but change the topic when you get to reincarnation, or say it’s all an ignorant myth.”
August 19, 2022 · Original source
The final chapter of 1587 profiles Li Chi (Li Zhi) who is remembered as a philosopher like Socrates - at least in the sense that he killed himself due to persecution by the authorities. Li didn't drink hemlock: he took a straight razor to his own throat. But he could also qualify as an early prototype of the Hollywood guru, one of those people who floats around in the realm of celebrities, looking wise in a fashionable way and saying vaguely Buddhist things without actually practicing Buddhism.
Li’s early career was full of poverty and misery, as he tried and largely failed to support a family while working as a low-level civil servant. At 53 he had a mid-life crisis, retired from the Civil Service, sent his wife away, shaved his head and went to live in a Buddhist temple. There he studied both Buddhism and Taoism, in an effort to find some solace in philosophy and spiritualism.
October 31, 2022 · Original source
The jhanas are kind of controversial within Buddhism. There's a sutta/story where the Buddha describes mastering jhanas 5-8, concluding they are not very useful, and then remembering jhanas 1-4 and realizing they are very important for progress toward liberation. However the Zen folks don't use them at all and your mainstream Vipassana people have always been a little skeptical of them.
January 04, 2023 · Original source
“There’s no alpha left in bringing Buddhism to the West”, says a guy in an FTX Risk Management Department t-shirt. “People have been bringing Buddhism to the West for a hundred years now. It’s done. Stop trying to bring more Buddhism to the West.”
“That’s so cheems mindset,” says the woman he’s talking to. Her nametag says ‘Astra’, although you don’t know if that’s her real name, her Internet handle, or her startup. “There’s no alpha left in bringing Buddhism to California. When was the last time you heard of someone preaching the dharma in a red state? Never, I bet.”
“I don’t think red state conservatives would really go for Buddhism,” says Risk Management Guy.
May 30, 2023 · Original source
Buddhism teaches that life is suffering, and some Buddhist practitioners say that at sufficiently advanced levels of meditation, they realize they were suffering in hard-to-notice ways all their life, which they can then correct. This is a pretty crazy claim, but I take it seriously enough not to find “I feel fine so there’s no room for improvement” a complete knockdown argument against this.
May 15, 2024 · Original source
Naturally, superhappiness scenarios could be misconceived. Long-range prediction is normally a fool's game. But it's worth noting that future life based on gradients of intelligent bliss isn't tied to any particular ethical theory: its assumptions are quite weak. Radical recalibration of the hedonic treadmill is consistent not just with classical or negative utilitarianism, but also with preference utilitarianism, Aristotelian virtue theory, a deontological or a pluralist ethic, Buddhism, and many other value systems besides.
August 16, 2024 · Original source
Given Marvel Comics, why Silver Age (1961-1965)? I.a. Why Superhero Comic Books? The winner of last year’s Astral Codex Ten book review contest was Brandon Hendrickson. Brandon wrote about Kieran Egan’s The Educated Mind. One of the foundations of Egan’s educational philosophy is that people learn through stories. He believes early education should focus on teaching lessons through myths and legends. This matches my experience. My kids’ favorite podcast is Greeking Out – a very well produced, very entertaining, National Geographic podcast about Greek Legends. Aside #1: When my oldest daughter was three years old she would ask everyone she met “Do you know any myths? Can you tell me a myth?” She especially liked asking people from different places to get myths from their local cultures. Once, she asked the question to a friend of mine who grew up in South Africa, “Can you tell me any South African myths?” He struggled for a minute and then said, “Okay! I have one! Bread never falls butter side down!”. That was not the type of myth she was looking for; nor the type of myth we will be discussing in this review. Every culture has foundational myths. These stories are entertaining and engaging, but they also teach valuable lessons about both what is important in that culture, and how people in that culture are expected to behave (or at least the Platonic Ideal of how they should behave). In the modern, Western world, we have assimilated many of these foundational stories, particularly the Greek myths. My kids definitely know the Greek myths, but they also know elements of Norse mythology, Egyptian myths, stories about Anasi from West Africa and more. More fundamentally my wife and I, while not religious ourselves, have made a point of exposing the kids to the stories from the Bible. It is not politically correct to call Biblical stories “myths”, but they serve the same purpose – shared cultural understanding of the way the world works. My wife grew up without any religion, and when she was in high school, she struggled with the metaphors and religious allegories that were omnipresent in most of the Western canon. In our culture, familiarity with the Bible is important for an educated person – whether they are religious or not – because it is the foundation of so much of the rest of our culture. I believe the other set of mythological stories that are foundational to our culture are – and by this point I am sure you see where I am going here – comic book superheroes. If true, then having more than a surface-level understanding of the most important superhero stories is important in a similar way to that knowing the Bible stories is important. “Do unto others as you would have them do unto you” is an important idea to understand. So is, “With great power comes great responsibility”. I.b. Why Marvel? While there are many independent superheroes that are not owned by major conglomerates, the superheroes who have built our modern foundational myths are currently owned by two corporations. Warner Bros. Discover owns the DC library of superheroes including Superman, Batman and Wonder Woman. In 2009 Disney purchased Marvel Comics and took ownership of their characters, including Spiderman, X-men and the Avengers. Aside #2: Marvel has sold temporary film rights to many of their characters over the years. The most relevant sales started in 1994 when Marvel sold the film rights of X-men and mutants to 20th century Fox, then in 1996, when Marvel went bankrupt, Fox picked up the rights to the Fantastic Four (and New Line picked up Blade). In 1999 Marvel sold the film rights (and live action TV, and animated TV longer than 44 minutes) of Spider-man and related characters to Columbia Pictures (part of Sony) for $7MM. Marvel actually attempted to sell ALL of their remaining Marvel IP film rights to Sony for $25MM, but the top management at Sony was not interested. Sony’s management allegedly told their chief negotiator “Nobody gives a shi*t about any of the other Marvel characters. Go back and do a deal for only Spider-Man). Disney acquired Marvel in 2009, and then Fox in 2019, bringing the two separated packages of characters all back together under one roof (Blade reverted back to Marvel in 2012). Sony still owns the rights to Spider-man but has made a deal with Disney to include some of his films within the Marvel-Disney universe. Marvel sold the film rights of The Hulk to Universal in 1990 and the current status of that agreement is complicated (the consensus is that Marvel now controls the film rights to the character, but Universal owns distribution rights to any stand-alone Hulk film, which could be why Disney let's Hulk co-star in Thor movies, but not vice versa). In the early aughts Marvel wanted to build their own film franchise, but were limited to only using their remaining “B-list” characters – Spider-man, X-men, and the Fantastic Four were all off limits. Fortunately, Kevin Feige, president of production for Marvel at the time, saw a way forward. He convinced Ike Perlmutter, Marvel CEO, to allow for the production of a series of films with the remaining characters begining with Iron Man (2008). Jon Favreau directed and cast Robert Downey Jr as Tony Stark. The film blew away expectations. Kevin’s plan of a series of movies where the characters would interconnect was suddenly feasible. Iron Man was followed by The Incredible Hulk, Thor, and Captain America: The First Avenger. None managed the box office magic of Iron Man, but all were successful enough that the plan stayed on track. In 2012 the characters were all brought together in the first Avengers film, which opened to over $200MM domestically and went on to gross more than $1.5B (which made it the 3rd highest grossing film of all time). Marvel became the first studio to take the interconnected world of their comic books and make the model work on the big screen (for a much larger audience). Once the model was proven to work, other studios tried to duplicate it. Aside #3: Warner Bros’ stumbles with the DC shared universe of Batman, Superman and the Justice League are well known, but that was actually their SECOND attempt at a shared universe. Their first attempt tried to copy the Marvel method more closely. They chose their own B-list hero and set up his first film to allow for a wider mythology. Alas Green Lantern (2011) failed at the box office and we never got stand-alone films about Sinestro (Yellow Lantern), Carol Ferris (Star Sapphire, the Violet Lantern), John Stewart (African American Green Lantern), Kyle Rayner (1990s Green Lantern), Alan Scott (original Green Lantern), or the Blue, Red, and Orange Lantern Corps. At least so far, no studio has successfully created anything with close to the traction obtained by the Marvel Cinematic Universe (MCU). Warner’s DC Extended universe (DCEU) had trifling success, but is being shelved and rebooted for a fresh attempt next year. Universal’s attempt at a “Dark Universe” kicked off with Tom Cruise in The Mummy (2017), but was dead on arrival. Paramount’s attempt to link the Transformers Universe to GI Joe at the end of Transformers: Rise of the Beasts has been appropriately mocked. Sony’s Spider-man films linked to the MCU have been very successful, but their attempt at a stand-alone non-MCU Spider-man universe using Spider-man’s villains as anti-heroes has floundered (mostly succeeding only as a source of memes). Next Mattel will be attempting to build a universe off the success of last year’s Barbie and may include Polly Pocket, American Girl, Hot Wheels, and He-Man and the Masters of the Universe (no word yet on Thomas the Tank Engine, View Master and the Magic-8 Ball, but all are apparently in development). To date, only Marvel has successfully built a “Cinematic Universe”. One potential reason for the MCU’s success is that Kevin Feige built his cinematic universe on the back of the existing interconnected universe of the comics. But those comics were not the first interconnected universe of stories. For that we would need to go back to our foundational myths. The Bible stories mostly interconnect. Adam and Eve flows into Cain and Abel. David and Goliath leads to the Wisdom of Solomon. Greek Myths DEFINITELY interconnect. Supporting characters in one Greek myth have starring roles in their own stories. The Greek pantheon of tales even have their own version of the Avengers. In the Quest for the Golden Fleece, Jason brings together the Argonauts, who included in their number Theseus (who defeated the Minotaur), Orpheus (who braved the underworld) and Hercules himself – all A-list stars in their own “franchises”. Stand alone stories that exist within an interconnected universe are rare in modern media but were common in the ancient myths that have stood the test of time. Only Marvel has successfully created a shared universe that follows the pattern of ancient myths. Only Marvel films have stand-alone stories and protagonists who exist together in an interconnected world. Something about that method of storytelling is deeply pleasing for humans across many cultures. Marvel films are the first and most successful modern version of the mythological universe, and that it is worth spending more time exploring Marvel’s underlying mythology and where it came from. I.c. Why 1961? The origins of Christianity and Judaism (and Buddhism and Hinduism) are very murky. Even Islam is far enough in the past that we only have a very rough understanding of how it came to exist. When scholars want to understand in detail how a new religion is born they are far better to look at Mormonism or, if you accept it as a religion, Dianetics. Similarly, we have versions of Greek myths that have been passed down to us, but we can never know how those myths changed from their first telling to their “final” versions. Were the stories once unrelated, and only later became crafted into a single “universe”? Or were the stories built off each other one by one (“Dad that Golden Fleece story was amazing! Do you know any other stories about the Hercules guy?”)? Or was it something in between? Perhaps the stories all existed independently, but were later crafted together (“Remember that 12-labors story I told you? Actually that was the same guy who was on the Argo!”) Unlike Greek legends, we can know the origin of the Marvel Universe. We can see how it was constructed step-by-step. The people who did it (most importantly Stan Lee, Jack Kirby, and Steve Ditko) are dead now, but they have not been dead for long. We can read the original work, see how it changed over the last 60 years, and we can ask the creators “what were you thinking at the time” (or at least read their answers from old interviews). We can’t always trust what Stan Lee says, but at least we can hear his point of view. No one has a transcript of an interview with Homer, or knows exactly what he was thinking when he called it the “wine-dark sea”. Tl;dr: Why read about Marvel Comic superheroes 1961-1965? Because interconnected mythological stories are very important to cultures, Marvel is the leading contender of the most recent modern mythology, and it originated in the first half-decade of the 1960s. II. How did Marvel Superhero Comics happen? Timely Comics published their first comic book in 1939 and called it “Marvel Comics”. Their most popular World War II comics included Captain America, the Human Torch (an android unrelated to the modern Human Torch except in powers, appearance and name), and Namor, the Submariner. In the early 1950s superheroes became less popular, so Timely changed its name to Atlas Comics and focused on humor, western, horror, war and science fiction stories. But in 1956 DC Comics began re-introducing their Golden Age superheroes and, in the second half of the 1950s, the genre took off again – particularly Superman, whose title, Action Comics, became the number one selling comic in America. Stan Lee, editor and chief at Atlas at the time, wanted to get in on the superhero action. Unfortunately in 1957 Atlas lost its distributor and the company had to rely on “Independent News” to get its comics on newsstands. The complication was that Independent News was owned by “National Periodical Publications”, who also owned DC-comics and did not want Atlas to introduce superheroes to compete with Superman, Green Lantern and the Flash. Independent News agreed to distribute Atlas comics but limited the publisher to eight titles per month, and only in non-super hero genres (like horror, romance and science fiction). Blocked from creating and launching new superhero titles, Stan Lee got creative, and in August 1961 Atlas Comics published Fantastic Four #1. Aside #4: Fantastic Four #1 was on newsstands in August 8th, 1961, but the date on the cover was November 1961. The convention at the time was that the cover date was not the “publication date” but rather the “pull date”. The pull date was the time when the retailer could send back unsold copies back to the publisher for a refund. In fact the retailer did not need to send the entire issue back, just the cover, as it was assumed that comic books could not be sold without the cover, and it saved on postage. This was only relevant because it was great for my dad who was a child at the time. My dad was friends with the kid whose father owed the local pharmacy which meant he had access to every comic book published in the late 1950s as long as he was willing to wait a few months and read it without a cover. Going forward in this essay I will always use the pull dates rather than the publication dates for individual comic book issues as they are far easier to source. If you want to convert pull dates back into publication dates you can subtract roughly two months, but it is inconsistent and sometimes longer, as was the case with Fantastic Four #1. Check out the cover of Fantastic Four #1: To the modern eye this certainly looks like a superhero comic. Four heroes with super powers fighting a giant monster. But in the eyes of publishers in 1961 this looked more like a science fiction adventure comic than something that would go head to head with Superman. Here are the covers of Action Comics (the best selling superhero comic at the time) from the three months leading up to Fantastic Four #1: Notice what they have in common? “Super Rivals”, “Super revenge”, “Super Substitutes”. And all include Superman in his blue and red tights. Fantastic Four’s cover featured super powers, but never used the word “super” and no one was wearing superhero costumes. Fantastic Four, as a superhero story, slipped under the radar because it wasn’t really a superhero story at all. It was a story about four close friends who attempted to fly into space, but then something goes wrong and they crash back to Earth. The experience changes them and they decide they now need to use their new abilities to help the rest of humanity – specifically against monsters who are invading from under the Earth. It is a fantastical science fiction story – not a superhero story. Later in his career Jack Kirby, the illustrator of the issue and co-creator of the Fantastic Four, was asked about his inspiration for the Fantastic Four heroes. He did NOT say Superman – or any superhero. He said Challengers of the Unknown. Challengers of the Unknown was an adventure story co-created by Kirby in Showcase #6 in February 1957. Here is how Wikipedia describes the Challengers origin: When acquaintances miraculously survive a plane crash unscathed, they conclude that since they are "living on borrowed time" they should band together for hazardous adventures. The four—pilot Kyle "Ace" Morgan, daredevil Matthew "Red" Ryan, strong and slow-witted Leslie "Rocky" Davis, and scientist Walter Mark "Prof" Haley—became the Challengers of the Unknown. Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
September 20, 2024 · Original source
Here we are introduced to one of Chesterton’s core themes: hope versus fate. Chesterton sees hope as one of the primary distinguishers between Christianity and paganism, buddhism, eastern philosophy in general, and materialistic determinism. We see this same dichotomy in another of Chesterton’s great poems, Lepanto, where he has Muhammed, enthroned in glory in the Muslim paradise, say:
October 04, 2024 · Original source
But the Christian cultural package also fell apart and became the current post-Christian world. This wasn't just a one-time coincidence either. Protestantism gave way to modernism in Scandinavia, Germany, and the US. Catholicism gave way to modernism in Spain, Italy, and Latin America. Orthodoxy gave way to modernism in Greece, Eastern Europe, and Russia (with a slight Putinist resurrection-in-name-only which hardly seems to have produced a flourishing liberal society). Meanwhile in China, the local mix of Buddhism/Confucianism/Taoism gave way to modernism. In South East Asia, Buddhism gave way to modernism. Only 10% of Israeli Jews are ultra-Orthodox, and it would be lower if they didn't breed so fast. India is moderately Hindu but still noticeably modern. Even the Middle East is gradually becoming less Muslim.
November 12, 2024 · Original source
Of inscriptions on the Jewish catacombs in Rome, 76% are in Greek, 22% in Latin, and only 2% in Hebrew or Aramaic. Reform Judaism is unstable. The Law of Moses is central to the Jewish faith; relax it too much, and believers can justly wonder what’s left. In America, Reform Jews are over-represented not only among atheists and agnostics, but among every cult under the sun. 33% of American Buddhists come from a Jewish background, and even the Moonies were 30% Jewish at one point! (they’re now down to 6%) As the Jews were assimilating into Greeks, some Greeks were assimilating into Judaism. They were impressed enough with monotheism and the Jews’ upright behavior to adopt some of the rituals, but they couldn’t take the final step and circumcise themselves. Instead, they hung around the fringes of Jewish society, admiring it from without. The Bible and the historical record call them “God-fearers”, but by analogy I can’t help but think of them as “weajoos”. These weajoos would have been easy prey for the first semi-Jewish sect to shed the circumcision requirement and explicitly pivot away from being an ethnic religion. The Apostles and other early Christians, leaving Palestine to minister to the wider world, would have made use of existing Jewish networks and connections. They would have found themselves in the middle of the spiritually-disaffected, half-assimilated pseudo-Reform Jewish communities of the Roman world, plus their half-assimilated-the-other direction Greek hangers-on. They would have preached that Judaism was basically true, but that you can drop the restrictive Law of Moses and avoid getting circumcised. They would have sliced through the cultural angst of these in-between communities, saying that Jews could join together with Gentiles in a big friendly tent under the leadership of the God of Abraham, Isaac, and Jacob. Here, says Stark, were the early Christians’ first few million converts. Because, I Regret To Inform You, The Pronatalists Are Right About Everything We found above that the Christian population needed to grow at 40% per decade, and assumed this meant conversion. But you could also do this through a fertility advantage. If a generation lasts thirty years, and Christians have 3x more children than pagans per generation, they can get 40%/decade growth without converting anyone at all. In reality, it was probably a mix: some conversion plus some fertility advantage. Here I start to worry that some right-wing pronatalist organization bribed Rodney Stark to abandon his usual scholarly attitude and write some kind of over-the-top pronatalist fanfic. I was waiting for the part where the eagle named MORE BIRTHS perches on the blackboard and the childfree professor was tossed into the lake of fire for all eternity. Still, let’s take it at face value and see what the fanfic has to say. By the Imperial era, Roman fertility was plummeting. Partly this was because the Romans practiced sex-selective infanticide, there were 130 men for every 100 women, and so many men would never be able to find a wife. But partly this was because the men who could find wives dragged their feet. (Male) Roman culture took it as a given that women were terrible, that you couldn’t possibly enjoy interacting with them, and that there was no reason besides duty that you would ever marry one. In 131 BC, the Roman censor Quintus Caecilius Metellus Macedonicus2 proposed that that the senate make marriage compulsory because so many men, especially in the upper classes, preferred to stay single. Acknowledging that “we cannot have a really harmonious life with our wives”, the censor pointed out that "since “we cannot have any sort of life without them,” the long term welfare of the state must be served”… As Beryl Rawsom has reported, “one theme that recurs in Latin literature is that wives are difficult and therefore men do not care much for marriage.” The Romans understood that this was long-term fatal for their empire, and tried all sorts of schemes to increase family formation. In the mid-first-century BC, Cicero re-proposed Metellus’ scheme to make marriage compulsory, but it failed once again. Augustus contented himself with punitive taxes and second-class citizenship for unmarried and childless couples, combined with subsidies and affirmative action for men with at least three children. Formal and informal social pressure eventually convinced most Roman men to take wives, but no amount of love or money could make them have children. Dense cities discouraged large families, Roman children were expensive (nobles would have to spend immense effort and political favors grooming them for high positions), and (the scourge of all nobilities) too many children risked splitting the inheritance. Also, if you had a girl you’d probably just kill her (she would consume resources without continuing the family line), and half of children died before adulthood from some disease or another anyway. It was just a really bad value proposition. Nor did the sex drive force the matter. Horny Roman men had their choice of a wide variety of male and female slaves and prostitutes - despite Augustus and his spiritual heirs’ fuming about monogamy, this was never really enforced on the male half of the population. When men did have sex with women, it was usually oral or anal sex, specifically to avoid procreation. When they did have vaginal sex, they had a wide variety of birth control methods available, including the famous silphium but also proto-condoms and spermicidal ointments. If a child was conceived despite these efforts, abortion was common albeit unsanitary (maternal death rates were extremely high, but this was not really a deal-breaker for the Roman men making the decision). If a baby was born in spite of all this, infanticide was legal and extremely common: Far more babies were born than were allowed to live. Seneca regarded the drowning of children at birth as both reasonable and commonplace. Tacitus charged that the Jewish teaching that it is “a deadly sin to kill an unwanted child” was but another of their “sinister and revolting practices” . . . not only was the exposure of infants a common practice, it was justified by law and advocated by philosophers.” Christians followed the opposite of all these practices. They recommended that men love their wives, and held this as a plausible and expected outcome. This was not exactly unprecedented, but it was a dramatic reversal of Roman custom. From Ephesians 5: Husbands, love your wives, just as Christ loved the church and gave himself up for her to make her holy, cleansing her by the washing with water through the word, and to present her to himself as a radiant church, without stain or wrinkle or any other blemish, but holy and blameless. In this same way, husbands ought to love their wives as their own bodies. He who loves his wife loves himself. After all, no one ever hated their own body, but they feed and care for their body, just as Christ does the church — for we are members of his body. “For this reason a man will leave his father and mother and be united to his wife, and the two will become one flesh.” This is a profound mystery — but I am talking about Christ and the church. However, each one of you also must love his wife as he loves himself, and the wife must respect her husband. The Christians banned adultery (and, unlike the Roman bans, gave it teeth), meaning that married men who wanted sex had no choice but to go to their wives. They held that sex had to be procreative, banning anal sex, oral sex, homosexual sex, and birth control. And obviously they banned infanticide (many of these bans weren’t active decisions, but carry-overs from the movement’s Jewish roots). Also, I regret to say I fell for the liberal meme that Republicans tricked Christians into being anti-abortion in 1960, and previous generations of Christian had thought abortion was fine. This is absolutely not true. The Didache, the first Christian text outside the New Testament itself, probably dating from about 90 AD, says that “Thou shalt not murder a child by abortion nor kill them when born”. The second-century church father Athenagoras wrote: We say that women who use drugs to bring on an abortion commit murder, and will have to give an account to God for the abortion . . . for we regard the very foetus in the womb as a created being, and therefore an object of God’s care . . . and [we do not] expose an infant, because those who expose them are chargeable with child-murder. The end result is that while pagans delayed marriage, cheated, had nonprocreative sex, used birth control, performed abortions, and committed infanticide, Christians did none of these things. This section gave me a new appreciation for conservative Christian purity culture: it was obviously suited for the environment in which it evolved, and it’s also obvious why its founders would etch it so deeply into its memetic DNA that it’s still going strong millennia later. But I’ll end this section with a note of caution - I’m not sure how relevant any of this is. Stark refuses to speculate on pagan vs. Christian fertility rates, but when I look up modern scholarship, they reasonably point out that pagan rates must have been around “replacement”, given that the Roman population stayed steady (or slowly increased) for hundreds of years. “Replacement” is in quotes because Romans were constantly dying of plague, warfare, fire, and a million other causes; since only a third to half of people survived to reproduce, “replacement” here is something like 4-6 children per women. This doesn’t sound like the antinatalist disaster Stark describes! I think Stark is mostly talking about Roman elites - the group who Augustus kept pestering to have at least three children - and more broadly about the urban population. These people were constantly dying and being replaced by commoners and villagers. Early Christianity was primarily an urban and upper-class movement (does this surprise you? Stark urges us to think of modern cults and new religions, like American Buddhism, which predominantly recruit disillusioned children of the upper classes). So perhaps it did better than its urban upper-class pagan comparison group. Still, since the urban upper-class pagans were constantly being replaced by village lower-class pagans as soon as they died out, how much, in numerical terms, can this contribute to Christianity’s growth? A possible synthesis: if you imagine a city as having a constant population (because it’s walled, plus its hinterland can only support a certain number of non-food-producing urbanites), and villagers as replacing urbanites on a one-to-one basis as they die, then greater Christian urban fertility rates can at least contribute to the cities and upper classes becoming Christian. And once the cities and upper classes are Christian, you get Constantine, and the lower classes can be forced to comply. Remember, “pagan” originally meant “rural”! Because Where Women Go, Men Will Follow One thing Stark did not mention discovering in his study of cults, but which I have heard anecdotally - a lot of male cult members join because the cult has hot girls. This seems to have been a big factor in the spread of early Christianity as well. Stark collects various forms of evidence that early Christians were predominantly women. Paul’s Epistle to the Romans greets thirty-three prominent Christians by name, of whom 15 were men and 18 women; if (as seems likely) men were more likely to become prominent than women, this near-equality at the upper ranks suggests a female predominance at the lower. A third-century inventory of property at a Christian church includes “sixteen men’s tunics and eighty-two women’s tunics”. The book quotes historian Adolf von Harnack, who says: [Ancient sources] simply swarm with tales of how women of all ranks were converted in Rome and in the provinces; although the details of these stories are untrustworthy, they express correctly enough the general truth that Christianity was laid hold of by women in particular, and also that the percentage of Christian women, especially among the upper classes, was larger than that of men. Why were women converted in such disproportionate numbers? Again, Stark’s sociological background serves him well: he is able to find reports of the same phenomenon in modern religions: By examining manuscript census returns for the latter half of the nineteenth century, Bainbridge (1983) found that approximately two-third of the Shakers were female. Data on religious movements included in the 1926 census of religious bodies show that 75% of Christian Scientists were women, as were more than 60% of Theosophists, Swedenborgians, and Spiritualists. The same is true of the immense wave of Protestant conversions taking place in Latin America. But along with a general tendency for women to convert, Stark notes that Christianity was especially attractive to women. The pagan world treated women as their husbands’ property, and not particularly well-liked property at that. The book cites the Athenian laws as typical: The status of Athenian women was very low. Girls received little or no education. Typically, Athenian females were married at puberty and often before. Under Athenian law, a woman was classified as a child, regardless of age, and therefore was the legal property of some man at all stages of her life. Males could divorce by simply ordering a wife out of the household. Moreover, if a woman was seduced or raped, her husband was legally compelled to divorce her. If a woman wanted a divorce, she had to have her father or some other man bring her case before a judge. Finally, Athenian women could own property, but control of the property was always vested in the male to whom she “belonged”. Meanwhile, Christian woman had relatively high status, sometimes rising to the position of deacon within a church. Christian men were ordered to treat their wives kindly, were prohibited from cheating on them, and mostly could not divorce. Christianity, unlike paganism, did not especially pressure widows to remarry (important since a remarrying widow lost all her property to her new husband). Christian women were only a third as likely as Roman women to be married off before age 13. Women noticed all these benefits and flocked to Christianity. Aside from all of this, the Romans were practicing sex-selective infanticide, reducing their female numbers still further, and making the Christians even more proportionally female-heavy. If the Christians, like many modern cults, were 65% female, and the Romans (as some sources attest) were about 40 - 45% female, this is a pretty profound difference. The Romans grumbled about marriage, but in the end most Roman men did want wives (if only to avoid government penalties). But 1.4 men per women - maybe even less among the upper classes - puts young men seeking wives in a difficult situation (for comparison, modern San Francisco is only 1.05 men per women, and dating is already hell). To any remotely heterosexual Roman men, the 65% female Christian community must have started looking pretty good. Meanwhile, the Christians had the opposite problem: too many women, not enough men. There’s an obvious solution, and it sounds like the pagans and Christians had also figured it out: From 1 Peter 3: Wives ... submit yourselves to your own husbands so that, if any of them do not believe the Word, they may be won over without words by the behavior of their wives, when they see the purity and reverence of your lives. History records many such intermarriages, almost always ending with the conversion of the pagan husband. If you are a Christian of English descent, you may owe your religion to Queen Bertha of Kent, who convinced her husband, one of the early Anglo-Saxon kings, to take her faith. But Ruxandro Teslo has a great post reviewing the work of historian Michele Salzman, who disagrees with all of this. Salzman has a database of 400 aristocratic Romans during the 4th century period of Christianity’s fastest growth. She finds few intermarriages, few examples of women converting their husbands, and equal (or slightly male-biased) conversion ratios. Granted, this is only a small sample from one period. But it makes us question how good our evidence really is. Doesn’t all this hinge on one passage from Paul which, technically, named more men than women, plus one inventory of tunics which was so female-biased that it couldn’t possibly have been representative of even a very woman-heavy church? Are we sure that we can make the leap from “Christianity promised women more rights” to “Therefore, women flocked to Christianity?” Wasn’t that the same argument that pundits used last week to predict a blue wave for Kamala? Didn’t white women actually go for Trump, 53-46? Salzman has one more concern, which is that women had so few rights in ancient Roman society that it’s hard to see how they could have converted at all. When unmarried, they were under the care of their father, who would hardly have let them go out visiting churches full of strange men. When married, they were under the care of their husband, who likewise. A typical Roman man wouldn’t have cared about his wife’s religious opinions, which is maybe why so many of our stories about intermarriages and conversions come from later periods like the Anglo-Saxons. I don’t know enough about history to referee this dispute, except that say that I think the answer could easily have been different for each of early Romans, late Romans, Hellenized-Jewish-Romans, pagan Romans, upper-class Romans, and lower-class Romans, plus all combinations thereof. Because Of The Testimony Of The Martyrs The martyrs are one of the most dramatic parts of the early Christian story. Men and women would endure seemingly-unbearable tortures, continuing to praise God the whole time, sometimes in spite of Roman officials who promised to let them go free if they would just make the tiniest concession to praising Jupiter. These martyrdoms impressed their contemporaries as much as they impress us, and were a major factor driving pagans to Christianity. The Christian Martyrs’ Last Prayer, by Jean-Leon Gerome (maybe slight nominative determinism?) Stark is writing in the 1990s, and martyrology c. 1995 does not exactly cover itself in glory. At the time of writing, the most popular theory among scholars (claims Stark) was that the martyrs were masochists. He considers this dumb and offensive theory a natural consequence of historians being reluctant to accept anything that sounds too miraculous or amazing, and there being few other hard-headed rational explanations of the martyrs’ behavior (for some reason, the obvious one - that they believed in God and Heaven - impresses neither Stark’s foils nor himself). He sets out to build an alternative theory: the martyrs were rationally seeking the approval of their community. Martyrdom not only occurred in public, often before a large audience, but it was often the culmination of a long period of preparation during which those faced with martyrdom were the object of intense, face-to-face adulation. Consider the case of Ignatius of Antioch … Ignatius was condemned to death as a Christian. But instead of being executed in Antioch, he was sent off to Rome in the custody of ten Roman soldiers. Thus began a long, leisurely journey during which local Christians came out to meet him all along the route, which passed through many of the more important sites of early Christianity in Asia Minor on its way to the West. At each stop Ignatius was allowed to preach to and meet with those who gathered, none of whom was in any apparent danger although their Christian identity was obvious. Moreover, his guards allowed Ignatius to write letters to many Christian congregations in cities bypassed along the way, such as Ephesus and Philadelphia … As William Schoedel remarked, “It is no doubt as a conquering hero that Ignatius thinks of himself as he looks back on part of his journey and says that the churches who received him dealt with him not as a ‘transient traveller,’ noting that ‘even churches that do not lie on my way according to the flesh went before me city by city.’” What Ignatius feared was not death in the arena, but that well-meaning Christians might gain him a pardon…He expected to be remembered through the ages, and compares himself to martyrs gone before him, including Paul, “in whose footsteps I wish to be found when I come to meet God.” It soon was clear to all Christians that extraordinary fame and honor attached to martyrdom. Nothing illustrates this better than the description of the martyrdom of Polycarp, contained in a letter sent by the church in Smyrna to the church in Philomelium. Polycarp was the bishop of Smyrna who was burned alive in about 156. After the execution his bones were retrieved by some of his followers - an act witnessed by Roman officials, who took no action against them. The letter spoke of “his sacred flesh” and described his bones as “being of more value than precious stones and more esteemed than gold.” The letter-writer reported that the Christians in Smyrna would gather at the burial place of Polycarp’s bones every year “to celebrate with great gladness and joy the birthday of his martyrdom.” The letter concluded, “The blessed Polycarp ... to whom be glory, honour, majesty, and a throne eternal, from generation to generation. Amen.” It also included the instruction: “On receiving this, send on the letter to the more distant brethren that they may glorify the Lord who makes choice of his own servants.” In fact, today we actually know the names of nearly all of the Christian martyrs because their contemporaries took pains that they should be remembered for their very great holiness. I don’t know, I’m not putting too much effort into writing up this section, because it doesn’t feel like as much of a mystery as some of the others. Maybe all of this was weird in 1996. But since then, we’ve seen plenty of suicide bombers willing to die for their faith. I accept that the Christian martyrs were more impressive - a slow death in the Colosseum takes more grit than the quick detonation of an explosive vest, and dying for peace is more impressive than dying in war - but it hardly seems like as much of a leap. Honestly, Stark’s “social approval” theory seems only slightly less objectifying than the masochism theory. Some people just have a tendency towards self-sacrifice. I know many effective altruists who, for example, deliberately let themselves be infected with malaria to help speed vaccine research. If someone told them a way that they could help the neediest people in the world by feeding themselves to lions, the lions would no doubt eat well. Because They Survived The Plagues However bad you imagine daily life in ancient Rome, it was worse. Historians estimate that ancient Rome had a population density of 300 people per acre. That’s almost ten times denser than modern New York City, two thousand years before anyone invented the skyscraper3. How did they do it? By cramming people together in unbearable filth and misery: Most people lived in tiny cubicles in multistoried tenements…”there was only one private house for every 26 blocks of apartments”. Within these tenements, the crowding was extreme - the tenants rarely had more than one room in which “entire families were herded together”. Thus, as Stambaugh tells us, privacy was “a hard thing to find”. Not only were people terribly crowded within these buildings, the streets were so narrow that if people leaned out their window they could chat with someone living across the street without having to raise their voices… To make matters worse, Greco-Roman tenements lacked both furnaces and fireplaces. Cooking was done over wood or charcoal braziers, which were also the only source of heat; since tenements lacked chimneys, the rooms were always smoky in winter. Because windows could be “closed” only by “hanging cloths or skins blown by rain”, the tenements were sufficiently drafty to prevent frequent asphyxiation. But the drafts increased the danger of rapidly spreading fires, and “dread of fire was an obsession among rich and poor alike.” Packer4 (1967) doubted that people could actually spend much time in quarters so cramped and squalid. Thus he concluded that the typical residents of Greco-Roman cities spent their lives mainly in public places and that the average “domicile must have served only as a place to sleep and store possessions.” These tenements had no plumbing. Waste was eliminated by pouring it onto the street, often to the detriment of people walking underneath. Water was brought home from public wells; if you were out, you either walked back to the well or made do. The total public baths capacity of Rome was about 30,000; the total population of Rome was about a million; in practice, the upper classes used the “public” baths and the average citizen had never bathed in their life. Soap had been invented a century or two earlier but was limited to a small pool of early adopters. The cities buzzed with flies, mosquitos, and other insects. It would be eighteen hundred years before anyone invented germ theory. Tenements were six stories high and frequently collapsed, killing everyone inside. Fires consumed the city on a regular basis, giving rise to colorful legends like Nero fiddling while Rome burnt. Police were limited, and it was understood that you would be robbed immediately if you set foot outside at nighttime. This kind of smart, walkable, mixed-use urbanism is illegal to build in most American cities. How did people survive? Mostly they didn’t. Cities were destroyed regularly - multiple times within a single human lifetime! - then rebuilt and replenished with rural population. Stark focuses on Antioch, a Syrian city which was a center of early Christianity. During “six hundred years of intermittent Roman rule”, he finds: It was conquered 11 times
June 13, 2025 · Original source
This is a reported phenomenon where if two copies of Claude talk to each other, they end up spiraling into rapturous discussion of spiritual bliss, Buddhism, and the nature of consciousness. From the system card:
November 03, 2025 · Original source
The boring answer: for the reasons discussed here, alignment will dominate training data. Religion is too sensitive for companies to leave it up to the text corpus: they will hard-code in neutrality. Even if they didn’t, whatever they do hard-code in will drag religious opinions along with it, like how helpfulness training drags AIs towards Buddhism.
November 07, 2025 · Original source
This is the starting point of many people’s objection to Buddhism. They continue: if nirvana is just a peaceful state beyond joy or suffering, it sounds like a letdown. An endless gray mist of bare okayness, like death or Britain. If your life was previously good, it’s a step down. Even if your life sucked, maybe you would still prefer the heroism of high highs and low lows to eternal blah.
Black Lives Matter

Black Lives Matter is a recurring concept in the Astral Codex Ten archive, appearing 12 times across 12 issues between March 10, 2021 and February 19, 2026. The archive places it in contexts such as "Joe Biden's comments about Black Lives Matter"; "big viral protests lately except Black Lives Matter"; "your neighbors put up Black Lives Matter signs on their lawn". It most often appears alongside China, New York, San Francisco.

Article page
Black Lives Matter
Mention count
12
Issue count
12
First seen
March 10, 2021
Last seen
February 19, 2026
March 10, 2021 · Original source
I want to tie this back to one of my occasional hobbyhorses - discussion of "dog whistles". This is the theory that sometimes politicians say things whose literal meaning is completely innocuous, but which secretly convey reprehensible views, in a way other people with those reprehensible views can detect and appreciate. For example, in the 2016 election, Ted Cruz said he was against Hillary Clinton's "New York values". This sounded innocent - sure, people from the Heartland think big cities have a screwed-up moral compass. But various news sources argued it was actually Cruz's way of signaling support for anti-Semitism (because New York = Jews). Since then, almost anything any candidate from any party says has been accused of being a dog-whistle for something terrible - for example, apparently Joe Biden's comments about Black Lives Matter were dog-whistling his support for rioters burning down American cities.
September 17, 2021 · Original source
Gurri divides the world between the Center and the Border. He thinks the Center - politicians, experts, journalists, officials - will be in a constant retreat, and the Border - bloggers, protesters, and randos - on a constant advance. His thesis got a boost when Brexit and Trump - both Border positions - crushed and embarrassed their respective Centers. But since then I'm not sure things have been so clear. The blogosphere is in retreat (maybe Substack is reversing this?), but the biggest and most mainstream of mainstream news organizations, like the New York Times are becoming more trusted and certainly more profitable. The new President of the US is a boring moderate career politician. The public cheers on elite censorship of social media. There haven't been many big viral protests lately except Black Lives Matter and the 1/6 insurrection, and both seemed to have a perfectly serviceable set of specific demands (defunding the police, decertifying the elections). Maybe I've just grown used to it, but it doesn't really feel like a world where a tiny remnant of elites are being attacked on all sides by a giant mob of entitled nihilists.
March 10, 2022 · Original source
Were The George Floyd Protests An Example Of Woke Power Or Woke Overreach? If you don’t live in a blue state, take it from me - the original George Floyd protests were a weird time. Overnight every one of your neighbors put up Black Lives Matter signs on their lawn, sometimes multiple signs per house. Every business had “Justice For George Floyd” signs on the windows. Sometimes random unrelated apps you used for laundry or something would randomly sprout pop-ups saying “Did you know the police are bad? Here’s where you should donate.” The usual cancel culture intensified by an order of magnitude.
June 23, 2022 · Original source
Source: Ed West, do note that this example is from the UK How suspicious should we be of each type of story? There will always be an extreme right tail of overly harsh sentences, and an extreme left tail of overly lenient ones. Were the 2000s really as draconian as they felt? Is the modern era really as pathetic? Or is it all just a function of who you read and what agenda they’re pushing? Shellenberger: During California governor Jerry Brown’s time in office, voters passed several reforms aimed at reducing the size of the prison population. In 2012, voters passed a change to the Three Strikes law so that the third strike imposes a life sentence only if the new felony was serious or violent. In addition to lowering punishments for drug possession, Proposition 47, which voters passed in 2014, redefined shoplifting, forgery, petty theft, and receiving stolen property as misdemeanors when the value in question does not exceed $950. In 2016, voters approved a proposition that shortened the time it took for some nonviolent offenders to be eligible for parole and which released nonviolent offenders into drug treatment and rehabilitation. Property crimes rose in San Francisco starting in 2012. Larceny, which is shoplifting and other petty theft, rose 50 percent, from roughly 3,000 incidents per 100,000 people in 2011 to about 4,500 in 2019. Property crimes as a whole, which include larceny, motor vehicle theft, and burglary, rose from 4,000 incidents per 100,000 people in 2011 to 5,500 in 2019. One study suggests that Proposition 47 increased the rate of auto theft 17 percent and the rate of larceny (non-auto property) theft 9 percent, but discerning between causation and correlation may not be possible. Upon taking office in January 2020, [famously soft-on-crime San Francisco district attorney Chesa] Boudin followed through on his campaign promises. Instead of prosecuting and incarcerating people for breaking car windows to steal money and other items from inside, Boudin proposed creating a $1.5 million fund to reimburse car owners. But there were over 25,000 car break-ins reported in 2019. If every break-in cost just $250 in repairs, the fund would need four times that amount. And what would prevent people from falsely claiming to have been robbed in order to get city money? […] Boudin opposed efforts by the mayor and the city attorney to prevent drug dealers who had already been arrested from entering the Tenderloin. “Until the city is serious about treating addiction and the root causes of drug use and selling,” said Boudin in a statement, “these recycled, punishment-focused approaches are unlikely to succeed at doing anything more than making headlines.” Home burglaries rose in early 2021 in San Francisco. Homeowners started posting on Twitter videos from their security cameras of people breaking into homes and garages. “When I first moved here we had a car break-in problem,” said Michael Solana, a writer who works for a venture capital fund. “Now we have a home invasion problem. These things are wearing on people.” Boudin attributed the rise of burglaries in San Francisco to the decline of tourism and “people in desperate economic circumstances.” Progressive supervisor Hillary Ronen agreed. “We know that [economic insecurity and inequality] is one of the root causes of property crimes specifically,” she said. But Tom Wolf and others argued that the robberies were, like the shoplifting, done by people seeking money to buy drugs and feed their addictions. “The drugstores have been shoplifted to death and that’s all because of drug use,” said Tom. “I know. I used to do the same thing when I was out there. That’s what you do. You ‘boost.’ And then you go and you sell your stuff down at UN Plaza,” an open-air drug scene. In a May 2021 city supervisors’ meeting, a representative from CVS called San Francisco “the epicenter of organized retail crime in the country” and claimed that 85 percent of the shoplifting is committed by organized theft rings. Police broke up one such ring in October 2020 and recovered $8 million of stolen merchandise. The problem goes beyond property crime. Boudin declined to prosecute two men who went on to kill people. One man had been repeatedly arrested for stealing cars, despite having just been released from prison earlier in the year, and appeared to be abusing meth. On New Year’s Eve, 2020, the man killed two people while driving intoxicated. Police found inside of his car a semiautomatic handgun and twenty-three grams of methamphetamine. On February 4, another intoxicated driver killed a pedestrian in a stolen car. The San Francisco police had arrested him in October 2020 for possessing a stolen car, a tool for stealing cars, and what appeared to be meth. Boudin chose not to pursue charges. In December, the California Highway Patrol arrested the man again for driving a stolen vehicle under the influence. Again he was not prosecuted. The accident victim, an immigrant from Kenya, and his wife had moved to San Francisco two weeks before the fatal crash. “I blame the DA,” said the widow of the victim. The suspect, she said, “was someone who was out in the public who shouldn’t have been in the public. It was completely avoidable.” Tom said he could feel the difference on the streets. “Drug dealing is unabated and it’s not one guy, it’s fifty guys dealing fentanyl and meth,” he said. “And it’s going unabated because the district attorney says, ‘These are the nonviolent, quality-of-life crimes,’ and ‘I’m not going to prosecute them.’” [..] District Attorney Boudin was offering weaker sentences than even defense attorneys were requesting, according to Vicki Westbrook of San Francisco. “There’s a defense attorney who said, ‘It used to be that I would argue for this deal in court with the DA but now I don’t say anything because the DA is going to offer me a deal better than what I would have suggested. Somebody shot up the street with an automatic weapon. The first offer was six months in jail or time served plus two years of probation or something. And then [the DA] said, “How about thirty days in jail?”’” Vicki laughed. “You really can do anything in San Francisco,” she said. “If you do get arrested, chances are you’re going to be out of jail in less than thirty days for damn near everything except maybe killing somebody and maybe even then, too. It’s hard to say at this point.” Taking each of these points individually: Proposition 47 There are two good big studies on the effects of Prop 47, one by Public Policy Institute and one by some UCI criminologists. The PPI study finds that the proposition increased theft and car break-ins by about 10%. The UCI study finds the same, but notes that under different assumptions the effects wouldn’t quite obtain statistical significance. This seems a bit too much like post hoc trying to get rid of an inconvenient effect, plus an effect on the border of statistical significance is different from positively finding no effect. I think a reasonable interpretation is that theft and car break-ins rose about 10% because of the proposition, just as Shellenberger says. Some pro-47 sites note that most states have some limit on how much you to have to shoplift before it’s a felony, and Prop 47 brought California closer to the national average, rather than turning it into an outlier. Chesa Boudin Chesa Boudin took office two months before the COVID pandemic began. Any attempt to separate the effect of Chesa Boudin from the effect of the pandemic is doomed. Shoplifting definitely plummeted when Boudin took office, but that’s because all the stores were closed. Murders definitely rose a little after Boudin took office, but that’s because that was also when the Black Lives Matter protests happened, which demoralized police and led to a so-far-permanent spike in murders nationwide. Percent of criminals caught definitely fell when Boudin took office, but that’s because various aspects of the justice system were closed for COVID (I will grudgingly entertain speculation that a further decrease in arrest rates from 2020 to 2021 may have been a genuine Boudin effect). In the absence of any real way to judge his performance, I think San Fransicko’s points about Boudin are plausible, though speculative. Shoplifting This one is terrible. There’s a surprisingly spirited debate here (some of you may have already read Applied Divinity Studies’ article). The debate is: everyone on the ground in San Francisco - store owners, security guards, customers, random citizens - say that shoplifting has increased massively over the past decade. But statistics mostly say it hasn’t. Source here. This is shoplifting crimes per 100,000 people. Kern County is a deep red county in California (including Bakersfield) that is known for being tough on crime. Against this, seriously, everyone says that shoplifting has obviously increased. I had a patient who worked in shoplifting prevention, he told me - his psychiatrist! Who he had no reason to lie to! - that he was constantly stressed dealing with the shoplifting surge devastating the stores he covered. Here’s the San Francisco subreddit’s response to someone posting the data showing shoplifting hasn’t risen - it’s just a lot of people laughing hysterically. What’s going on? I was able to find a different set of statistics that does seem to show a longer-term increase in shoplifting (source): The very big spike at the end might be a change in reporting by one or two stores - you can find the argument here. But it does look like shoplifting went from about 125 incidents/month in the early 2010s to more like 250/month just before the pandemic. Why is this graph so different from the other one? It looks like the top one came from the Department of Justice, and the bottom one came from SFPD. I’m not sure why these report differently. When you multiply out by 800K people in SF, by 12 months/year, and 30ish days/month, the first graph corresponds to 4 shoplifting incidents per day, and the second to 6. As LouB’s analysis here points out, that seems suspiciously low for a city of 800,000 people where stores are constantly closing because of shoplifting. Maybe off by a factor of a few hundred from what we’d expect. LouB writes: The SFPD report only references shoplifting offenses that required SFPD officers to prepare an incident report. That means either the shoplifter fought security, committed additional crimes, or stole more than $950 worth of items. It’s not that SFPD’s report is erroneous, it’s just not a representative statistic. In a parallel statistic, SFPD only completes incident reports for traffic accidents when there is an injury. Therefore, thousands of noninjury accidents are handled civilly without SFPD reports the same way thousands of shoplifting offenses are handled without reports. An insurance company would not determine premium rates based solely on SFPD incident reports, nor should readers interpret SFPD shoplifting reports as anywhere near the total picture of the shoplifting epidemic in San Francisco. (this would also explain why one or two stores changing their reporting policy can produce a spike equal to everyone else in San Francisco combined) But comparing incident reports from 2010 to incident reports from 2020 should still be apples-to-apples, unless the likelihood of reporting any given incident changed in the meantime. Did it? This news article quotes a San Franciscan who says that when they try to report shoplifting incidents, the cops tell them not to because “it doesn’t make a difference”. If cops say that now more often than they used to, it would make all these statistics meaningless. (Applied Divinity Studies claims to have an argument that shows this can’t be true. It goes something like: if San Francisco was a better place to shoplift than its neighbors - eg Oakland - then shoplifters would leave Oakland to go to San Francisco, and we would see Oakland shoplifting rates falling. Oakland shoplifting rates are falling, but no more so than the rest of the state, so there can’t be increased tolerance for shoplifting in San Francisco. I find this dubious for many reasons. First of all, many of the same reasons shoplifting is up in San Francisco - like Prop 47 or soft-on-crime progressive policies - also apply to Oakland. Second, given that shoplifting fell massively everywhere because of the pandemic, it feels dubious to try to compare different cities; maybe one city had stricter pandemic lockdowns than others. Third, do criminals really shop around for friendly jurisdictions? If so, why are so many crimes like car break-ins, concentrated in “the bad part of town”? Why wouldn’t criminals leave the bad part of town for under-exploited areas with richer residents and less competition? Maybe criminals in fact aren’t very strategic or mobile? Maybe they don’t want to stand in the BART station and then take a half-hour train ride holding a bag of stolen goods?) Maybe a better argument against this being true is how stable the shoplifting rates have been over time. Wouldn’t it be weird if (let’s say) a tripling of the real shoplifting rates was matched by a third-ing of the reporting rates (rather than a halving or a quartering or whatever)? On the other hand, here’s Shellenberger with some helpful data: Some of this is probably because of Proposition 47, which made some forms of shoplifting punishable with citation rather than arrest (but wouldn’t that be a clear discontinuity rather than a gradual trend?) But overall it sure seems like shoplifting is being taken less seriously, which might encourage people to report less. Another statistic I see is that only 2.3% of shoplifting cases result in an arrest; I don’t know how this is different from the graph above with numbers in the 30s; maybe it involves different levels of what makes something a “case”. I accept that the data don’t consistently show a spike in shoplifting. But what’s the alternative? My patient who works in loss prevention in SF stores is lying to me? The nice elderly Chinese man who sold me my last pair of glasses and chatted to me about the rampant shoplifting in his mall was lying? The San Francisco police are lying? Walgreens pretends to be concerned about shoplifting as part of a dastardly plot to close a bunch of stores for no reason? Target and CVS pretend to care about shoplifting as part of a plot to restrict their stores’ opening hours for no reason? Every big store near me has suddenly gotten a security guard at the front as part of some corporate-sponsored jobs program? Maybe the conservative narrative that soft-on-crime San Francisco must be experiencing rising crime rates took on a life of its own. Maybe it infiltrated not just the usual suspects like the SF police unions, but even such supposedly-liberal bastions as the New York Times. Maybe lots of big corporations took advantage of the fake narrative to make unpopular business decisions they were planning on making anyway. And maybe ordinary San Franciscans, confronted with everyone telling them they were in a shoplifting epidemic, started paying more attention to security guards and petty criminals who had always been there, a sort of mass hallucination that gripped everyone in the city. I can’t rule this out. Americans thought crime was rising all throughout the early 2000s, when it was in fact way down. Or maybe some statistics that we already know are off by several orders of magnitude got off by an additional factor of two or so. I think this one is more likely, but I’m genuinely not sure. Other Crime From the Economist: The Center on Juvenile And Criminal Justice puts it even more starkly, arguing that “San Francisco’s ‘Crime Wave’ Is Just One Crime”: This are potentially susceptible to the same reporting bias as shoplifting. So what about homicide? Homicide is practically always reported and investigated, making it a gold standard in crime measurement. (source) Looks pretty good until 2019. I don’t expect to gain useful information post-2020; the pandemic and the post-George-Floyd murder surge will make it impossible to evaluate for local variation. What about compared to other places? For some reason this top 20 table fails to list Washington DC, which should be just before Atlanta. SF doesn’t make the top 20, although its neighbor Oakland does. Probably most murder variation in US cities is explained by percent African-American and maybe percent Borderer; with relatively few people in these groups SF was never in the running. I’m not sure if some abstracted version of the city with all demographic factors adjusted away would have an unusually high murder rate, but at that point it would be pretty distant from any interesting real-world question. You can see the leaderboard for other types of crime here; San Francisco is often in the top ten, but never the top three. As far as I can tell, San Francisco has seen a big spike in car breakins over the past few years, with no clear trend for other property crime, violent crime, or homicides. It’s not an outlier among American cities in any kind of crime. Conclusion of this section: San Fransicko’s specific claims are basically correct, but suggest a medium-term rise in SF crime which is mostly contradicted by the data. These show stable-to-decreasing murder, stable-to-decreasing violent and property crimes other than car break-ins, and large rises in car break-ins only. The data also show stable-to-decreasing shoplifting, but I’m not sure how much to trust them vs. common sense. Honestly, I’m pretty confused here and not sure what to think. Claim 7: Jim Jones (Of Kool-Aid Cult Fame) Used To Be The Chairman Of SF’s Housing Authority Okay, this isn’t really a statistical claim that I can research different perspectives on. Still, it’s so wacky that I couldn’t resist mentioning it in this review. Jim Jones, famous for killing everyone in his Guyana-based Jonestown cult with poisoned Kool-Aid, used to be the SF government’s top guy on homelessness. Shellenberger writes: Jones married and moved first to Northern California and then to San Francisco with his wife to start a church. He called it the People’s Temple. Jones believed he was the leader of a socialist revolution. He warned of nuclear war and claimed black people would be put in concentration camps. He became a hugely charismatic preacher among African Americans, the disaffiliated poor, and young transplants to the city looking for community. Scenes from the era show a remarkably large and diverse congregation smiling and singing. The People’s Temple grew and provided services. Jones cultivated two progressive San Francisco politicians, George Moscone and Willie Brown, and mobilized people to volunteer for their campaigns […] His son and a San Francisco historian believe he stole the mayoral election for Moscone in 1975. Historian David Talbot, founder of the progressive website Salon, points to evidence that Jones committed sufficient voter fraud to account for Moscone’s narrow 4,443-vote margin of victory. “We loaded up all thirteen of our buses with maybe seventy people on each bus, and we had those buses rolling nonstop up and down the coast into San Francisco the day before the election,” said Jones Jr. “Could we have been the force that tipped the election to Moscone? Absolutely! Slam dunk. He only won by four thousand votes.” When federal investigators looked into fraud claims three years later, they discovered that all of the records were missing from the city of San Francisco’s registrar of voters. Jones also boasted of providing Moscone with black women from his congregation for sex. One time Moscone, drunk and “accompanied by a young black woman whom the politician had kindly agreed to drive home,” crashed into another car. Another time, Moscone and Willie Brown “were with a black woman in an alley at two in the morning at some restaurant in North Beach,” said a local bar owner. State legislator “John Burton was part of that gang too. They were all using marijuana and cocaine.” Said Jones Jr., Moscone would “always be there at temple parties with a cocktail in his hand and doing some ass grabbing.” A Temple member overheard Jones speaking to Moscone the day after one of those parties saying, “I want to let you know that the young lady you went off with is underage,” adding, “Now don’t worry, Mayor, we’ll take care of you—because we know that you’ll take care of us.” Afterward, Moscone made Jones the chairman of the powerful San Francisco Housing Commission. Jones cultivated progressives with money and favors. He made large donations to the ACLU, the NAACP, and United Farm Workers. Jones and Moscone met privately with vice presidential candidate Walter Mondale on a campaign plane a few days before the 1976 presidential election, and Mondale praised People’s Temple shortly afterward. Jones met with First Lady Rosalynn Carter several times. Governor Jerry Brown praised Jones. Glide Memorial Church’s Rev. Cecil Williams loved Jones. There is a photo from 1977 of a smiling Williams awarding Jones the church’s “Martin Luther King, Jr. Award.” Jones used his perch as chairman of the Housing Commission to fight for housing for the poor. He tried to use eminent domain to acquire the International Hotel, a single resident occupancy hotel. After a court sided with the hotel’s owner, Jones mobilized seven thousand protesters to picket it. By mid-January 1977, the situation had become heated. There were rumors that protesters inside the building were armed with guns and Molotov cocktails. Jones lost the legal battle in 1977, and the tenants were evicted. But the drama was a publicity victory for Jones, which burnished his image as a white savior. A conservative member of the Board of Supervisors who was defeated in the mayoral election by Moscone accused the new mayor, the San Francisco Chronicle, and the rest of the city establishment of being blind to Jones’s extremism. “There’s no radical plot in San Francisco,” insisted Moscone, in response. “There’s no one I’ve appointed to any city position whom I regard as radical or extremist.” Willie Brown, a powerful state legislator from 1964 to 1995 before becoming mayor in 1996, “seemed oblivious to Jones’ hucksterism and demagoguery,” notes a historian. Brown was master of ceremonies at a dinner for Jones in the fall of 1976 attended by an adulatory crowd of the rich and powerful, including Governor Jerry Brown. “Let me present to you a combination of Martin King, Angela Davis, Albert Einstein . . . Chairman Mao,” he said, to loud applause. And yet Jones was contemptuous of Brown even as Brown did Jones more and more favors. Jones mocked Brown for his designer suits, sports cars, and women. Once, while Brown was addressing the congregation and Jones was seated onstage behind him, Jones flipped his middle finger up to mock him. San Francisco’s establishment stood by Jones even after a California magazine, New West, owned by Rupert Murdoch, published an exposé of Jones’s beatings of Temple members and financial abuses in August 1977. The article was written by a San Francisco Chronicle reporter and was meant for the Chronicle to publish. But the newspaper killed the story because it didn’t want to alienate Jones, whom it viewed as central to its plans to expand the Chronicle’s circulation in the heavily African American Fillmore District. Jones also managed to avoid investigation and prosecution in part by getting the district attorney to hire as deputy district attorney Jones’s longtime attorney and confidant. Progressives defended Jones against the New West article. At a rally in the summer of 1977, Willie Brown said, “When somebody like Jim Jones comes on the scene, that absolutely scares the hell out of most everybody occupying positions of power in the system.” Angela Davis sent a radio message broadcast over the cult’s compound, Jonestown, in Guyana. “I know you’re in a very difficult situation right now,” she said, “and there is a very profound conspiracy designed to destroy the contributions which you have made to the struggle.” After visiting Jonestown, the attorney to the Black Panthers said, “I have seen paradise.” Harvey Milk, too, was tarnished by his association with Jones. In the fall of 1977, Milk wrote to President Carter’s secretary of health, education, and welfare requesting that Social Security checks be sent to elderly Temple members in Guyana. “People’s Temple,” wrote Milk, has “established a beautiful retirement community in Guyana.” In truth, the cult was disintegrating. Jones separated families and lovers, pitted relatives against each other, and forced neighbors to inform on each other. Jones sent people who violated the rules to solitary confinement in “the Box,” an underground cubicle where people were held as prisoners for days on end. Others were drugged. Progressives who had spent thirty years fighting to close prisons and mental hospitals found themselves praising a man who had reproduced their worst practices. In November 1978 a Bay Area congressman flew to Guyana to investigate human rights violations at Jonestown with NBC News. Jones gave the delegation a formal reception at Jonestown. A Temple member surreptitiously passed a note to one of the delegation members, saying he and another member wanted to escape. They fled the next day after a Temple member tried to stab the congressman. Jones didn’t prevent them from leaving but then sent gunmen to fire machine guns at the delegation at the airport, killing the congressman and four others. A few hours later, 907 inhabitants of Jonestown drank Flavor Aid laced with cyanide and died. Two-thirds of the victims were African American and one-third were children. Jones had told them that if they didn’t drink it they would be killed by invading soldiers from a shadowy global military conspiracy intent on imposing fascism and torturing children. As people started crying in grief, Jones scolded them. “Stop these hysterics,” he said. “This is not the way for people who are socialists or communists to die.” Jones’s wife protested the murder of children and had to be forcibly restrained. “We didn’t commit suicide,” said Jones in a tape recording, “we committed an act of revolutionary suicide protesting the conditions of an inhumane world.” Few were as stained by Jonestown as Willie Brown and George Moscone. “Even as the bloated bodies of the dead were removed from the jungle and the wounded were airlifted by the U.S. Air Force to hospitals in the United States,” wrote a historian, “Brown said he had ‘no regrets’ over his association with Jones.” They repeatedly disavowed responsibility. Said Moscone, “it’s clear that if there was a sinister plan, then we were taken in. But I’m not taking any responsibility. It’s not mine to shoulder.” This is Shellenberger at his best: telling us crazy stories from the recesses of San Francisco history, maybe kind of spinning the narration in a way that makes all progressives seem guilty by association, but with the tale itself so gripping that it’s hard to be mad. And Jones wasn’t alone. This was the golden age of San Francisco cults, when (Shellenberger tells us) “more than half of all high school students in the San Francisco Bay Area reported at least one recruiting attempt by a cult member, and 40 percent reported at least three contacts.” This chapter of SF history came to an end in 1978, when Dan White, who had just resigned from San Francisco’s Board Of Supervisors (ie City Council) entered City Hall through a window and assassinated Mayor Moscone and fellow Supervisor Harvey Milk, then successfully got charges reduced to manslaughter through a legal manuever that has gone down in history as “the Twinkie Defense” (realistically the defense was that he was depressed, but reporters seized on a comment that implied it was because he ate too many Twinkies). Everything about 1970s San Francisco was like this. With the Mayor and his right-hand-man both dead, San Francisco leadership ended up in the hands of previously second-tier politician Dianne Feinstein. Feinstein was what passed for a moderate in 1970s SF (which meant she had been targeted for assassination by various left-wing groups - she survived when a bomb left on her windowsill failed to explode). In Shellenberger’s telling, she managed to clean up some of the mess and restore a semblance of normalcy. San Francisco never forgave her. Moscone - voting fraud committer, underage sex enjoyer, and Jim Jones’ bff - is beloved as a martyr in today’s SF, but (the book points out) Feinstein is so loathed that in 2021 the Board of Education voted to rename Dianne Feinstein Elementary School. The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
[You] sit in the suburbs and feel smug about the fact that you oppose the war on drugs and have a Black Lives Matter sign in your yard. But you don’t have homeless people taking a crap on your front stoop every day or [have] all your packages stolen every single day
June 29, 2022 · Original source
In my review of San Fransicko, I mentioned that it was hard to separate the effect of San Francisco’s local policies from the general 2020 spike in homicides, which I attributed to the Black Lives Matter protests and subsequent police pullback.
A priori there’s no reason to expect lockdowns and “cabin fever” to hit blacks much harder than every other ethnic group. But there are lots of reasons to expect that the Black Lives Matter protests would cause police to pull back from black communities in particular. I think this is independent evidence that the homicide spike was because of the protests and not the pandemic.
Although the George Floyd protests in May 2020 were the largest round of Black Lives Matters protests, there had been several previous rounds. Most notable were the shooting of Michael Brown in Ferguson, MO in August 2014, and the death of Freddie Gray in police custody in Baltimore in April 2015. If Black Lives Matters protests can cause homicide spikes, we would expect to see one around this time also.
January 25, 2024 · Original source
I want to tie this back to one of my occasional hobbyhorses - discussion of "dog whistles". This is the theory that sometimes politicians say things whose literal meaning is completely innocuous, but which secretly convey reprehensible views, in a way other people with those reprehensible views can detect and appreciate. For example, in the 2016 election, Ted Cruz said he was against Hillary Clinton's "New York values". This sounded innocent - sure, people from the Heartland think big cities have a screwed-up moral compass. But various news sources argued it was actually Cruz's way of signaling support for anti-Semitism (because New York = Jews). Since then, almost anything any candidate from any party says has been accused of being a dog-whistle for something terrible - for example, apparently Joe Biden's comments about Black Lives Matter were dog-whistling his support for rioters burning down American cities.
May 01, 2024 · Original source
When I think of wokeness, I think of the great cultural turn around 2010 - 2015, when everybody started talking about privilege and white supremacy, Black Lives Matter burst onto the cultural scene, all your friends suddenly had rainbow and trans flags in their social media profiles, and people coined terms like “SJW” and “woke” to describe this phenomenon.
May 07, 2024 · Original source
I did this on purpose: I didn’t consider these sufficiently independent cases. My impression is that wokeness originated in the United States, reached other countries piecemeal, and that the parts they got weren’t necessarily parts that applied to their own situation. For example, many countries held Black Lives Matter and Defund The Police protests even when they had approximately no black people. In a situation like this, I don’t know how to determine the relationship between any given country’s level of civil rights law and its level of wokeness.
October 28, 2025 · Original source
1: As the Black Lives Matter movement spread across America in 2020, 19 black families came together to buy 98 acres and form the black separatist community of Freedom, Georgia. They don’t seem to have enough money for development, and as of the last update they were living in tents, but they may be saved in the most American way possible - someone wants to make a reality show about them.
February 11, 2026 · Original source
The European discourse can be - for lack of a better term - America-brained. We hear stories of Black Lives Matter marches in countries without significant black populations, or defendants demanding their First Amendment rights in countries without constitutions.
February 18, 2026 · Original source
The anti-police backlash after Black Lives Matter increased crime so much that it caused a backlash-to-the-backlash that gave police even more community support and resources than they had before (this is my explanation for why crime dropped so profoundly in 2023, 2024, and 2025 in particular)
February 19, 2026 · Original source
Graffiti: There are no good data for graffiti. Most of the discussion focuses on New York, where everyone agrees the long-term trend is down since 1970. The Graffiti In New York City Wikipedia page has a “decline of New York graffiti subculture” section, which explains that in the 1980s, when “broken window” policing became popular, the police cracked down on graffiti and this worked somewhat. The only numbers are here, and they describe a decrease of 13% in calls to the graffiti hotline between 2011 and 2016. But the more recent picture, and the story in other cities, is less sanguine; in the past few years, graffiti is “a bigger problem than ever” in Los Angeles and has “gotten worse” in San Francisco. Plausibly this is the same pattern as crime, which was declining for decades until COVID and the Black Lives Matter protests caused it to rebound in 2020. A contrary data point is Britain, where graffiti reports almost doubled between 2013 - 2017; I don’t know enough about the British context to have an opinion.
Brexit

Brexit is a recurring concept in the Astral Codex Ten archive, appearing 8 times across 8 issues between February 01, 2021 and September 04, 2025. The archive places it in contexts such as "How much will British GDP be in 2025 if there (is/isn't) Brexit?"; "people who overupdated on Trump and Brexit decided that polls didn't work anymore"; "this was one of the most interesting parts of the Brexit negotiations". It most often appears alongside Europe, France, United States.

Article page
Brexit
Mention count
8
Issue count
8
First seen
February 01, 2021
Last seen
September 04, 2025
February 01, 2021 · Original source
You don't have to believe them if you don't want to. But this is a pretty impressive example of decentralized expertise weighing in on important inputs to a policy question. Should we hold human challenge trials or not? Well, if we don't, an extra 50,000 people or so will die. You can do this with any question. How much will global temperatures increase if we (do/don't) rejoin the Paris Agreement? How much will British GDP be in 2025 if there (is/isn't) Brexit? How many people will get shot by cops next year if we (do/don't) go ahead with some defund-the-police plan?
April 19, 2021 · Original source
- Predicting that Marine Le Pen would not be elected President of France. A lot of people who overupdated on Trump and Brexit decided that polls didn't work anymore and the far-right would win no matter what the polls said, and they bought her up to a price much higher than her numbers justified. I decided Le Pen's polls were much worse than Trump or Brexit's and I was comfortable assuming the polls at least kind of reflected reality, so I bet against her and made about $100.
April 06, 2022 · Original source
From the outside, this was one of the most interesting parts of the Brexit negotiations.
June 17, 2022 · Original source
[11]: JET is an acronym for Joint European Torus. It is located in England as a thank you for British special forces helping to rescue a German plane being held hostage by terrorists in 1977. More recently, JET itself was held hostage as part of the Brexit negotiations.
June 24, 2022 · Original source
The press should include Tetlock’s superforecasting/prediction markets when reporting the forecasts by the military and national security bureaucracy at public interviews, official reports, and congressional testimony 7. Conclusion And Further Readings Gordon Tullock, one of the founding fathers of public choice theory who coined “rent-seeking”, has always wished for a book like this, and now it exists. It is clear to me that Hanania’s public choice model should usurp the conventional unitary actor model, and any scholar who insists on American grand strategy is deluding themselves. The book hasn’t been reviewed by mainstream outlets (which probably only reviews “pop” nonfiction), but have been unanimously praised by scholars in adjacent fields: Steven Pinker praised it as “cynical but probably accurate”; Robin Hanson was “quite impressed”, Byran Caplan, whose work The Myth of the Rational Voter was cited extensively by Hanania, praised it as “eye-opening”; Tyler Cowen praised the book as impressive in spite of finding Hanania’s view to be more sceptical than his own — a sentiment I share after reading about the East Asian economic miracle (the greatest anti-poverty program in history) facilitated by American intervention in How Asia Works (another contrarian economics-related work I’ve reviewed). Russian Invasion of Ukraine At the time of writing, Russia is invading Ukraine, so it is interesting to see how well the public choice model’s predictions fit. Indeed, the unitary actor model can describe autocratic states to some degree — to understand Russia we only have to get into the head of Putin (the model still falls short in accounting for the oligarchs who run the mafia state). Ukraine is central to Putin’s ideology and subjectively important to Russian society, and the desire to obliterate and absorb the nation of Ukraine far predates the history of NATO (see also Adam Tooze’s excellent essay on understanding Russia as a strategic petrostate). As Hanania writes on his Substack (worthy of your subscription, by the way)4: We know what the Russians want. They have made clear, openly and consistently, that they do not want NATO to keep expanding. When it became apparent in December that an invasion was on the table, the US started a diplomatic process that has involved trying to work out concessions on other things, while refusing to take NATO membership for Ukraine off the table. Putin has become Satan in liberal imagination, and when it comes to the culture war, the emotional response is overwhelming. Hanania writes: Brexit, Trump, and the rise of Orban and other right-wing populists in Europe have helped solidify a narrative in which Russian hackers and influence operations are behind everything liberal elites find distasteful, from opposition to Syrian refugees to bans on Critical Race Theory. Here’s a website laying out all the things Russia has been accused of “weaponizing” in the media, including dolphins, federalism, and the weather. The details of debates surrounding the wisdom of NATO expansion and whether Ukraine actually matters to the United States are lost in the larger story, as emotional denunciations of Putin as the source of all anti-democratic activity drives attitudes and policies. Inconvenient facts are ignored because it’s not really about “democracy,” “international law,” or any of the other words they use to obscure the fact that it’s culture wars all the way down. And the Western response is driven by extreme public outcry to an unprecedented extent: It’s all a competition to see who can signal “I hate Putin” the most, but Germany was still shutting down all its nuclear power plants to rely on Russian gas despite warnings from every other EU state (Russia accounts for 40% of Europe’s gas imports) — so much for grand strategy. That is not to excuse Putin’s invasion (he is, after all, the aggressor) and no, Ukraine is not “the West’s fault” as Mearsheimer has claimed in his viral lecture, but “NATO’s door remains open” for me and “we're going to start WW3 because you're in my sphere of influence” for thee is no grand strategy at all. Indeed, the irrational Western response is not predictable by the unitary actor model, but by the public choice model. Hanania writes: If you were going to cut Russia off from SWIFT, for example, why wouldn’t you announce it beforehand? The whole point of a punishment like that is supposed to be its deterrent effect, but if you don’t communicate that a specific action will happen, then it can’t influence behaviour. The answer here seems to be a lack of grand strategy, with leaders responding to events according to emotion and public relations more than anything. Cutting off SWIFT, or even threatening to do so, seems extreme before an invasion occurs, but not after it has begun. The West cannot rely on sanctions to make Russia abandon its core national security interests, which at the very least include a no-NATO commitment, the acceptance of the secession of Donetsk and Luhansk, and the recognition of the annexation of Crimea. Sanctions will also push Putin closer to Beijing, and the US will continue down the self-defeating path of alienating both of the other two superpowers — so much for American grand strategy. Hanania writes: Even if Putin has maximalist aims at this point, that doesn’t mean sanctions are worth doing. Their costs are high and they may have major consequences for the global economy. One has to consider the possibility that they make Russia more repressive at home and more brutal in its persecution of the war. Putin is getting sanctioned, but ordinary Russians are getting cancelled. The Metropolitan Opera of New York has announced it will no longer stage performers who have supported Russian President Vladimir Putin. Carnegie Hall has done the same, and the Royal Opera House in London is cancelling a planned Bolshoi Ballet residency (one of the oldest and most prestigious ballet companies in the world). Eurovision banned Russia. Tchaikovsky is cancelled. As Tyler Cowen writes, cancel culture against Russians is the new McCarthyism. The culture war has morphed into a hyperreal form on the Internet. Just as COVID is the first pandemic in the Age of Twitter, so the Ukraine invasion is, in some sense, the first war in the Age of Twitter. As it unfolds, we are seeing many disturbing parallels to the events of early 2020. People are rapidly normalising once-fringe ideas like a NATO-enforced no-fly zone (while completely oblivious to the fact that it means shooting down Russian planes and causing WW3), direct US conflict with Russia, regime change in Moscow, and even, incredibly, the use of nuclear weapons. The overnight flips on German defence spending and SWIFT are like the overturning of conventional public health policies on masking and lockdowns. We have entered the age of shitpost diplomacy, as coined by Tanner Green, in which the official Twitter account of the US Embassy in Kiev literally posts memes to spite Putin: A Russian sixth-grader could explain why celebrating the glories of Kievan Rus does not subvert Putin’s claims about the history of the Russian nation so much as reinforce them. Just like Hong Kong’s protests, Ukraine has won the meme war with utterly lopsided propaganda and unanimous international support on the Internet. As Yoshimi writes: Floating ghostlike above it is our war, the myth of the ‘Ghost of Kyiv’, ace MIG-29 pilot who has apparently shot down six Russian planes, or the legend of the Ukrainian soldiers defending an island outpost who replied “Russian warship go fuck yourselves” to a surrender offer and may or may not have died heroically, or two Russian II-76 transport aircraft that maybe were shot down near Kiev, or videos of air strikes or dead bodies which variously are Russian or Ukrainian until they turn out to be from Gaza six years ago, or the viral video of an old Ukrainian woman telling off a Russian soldier by offering him sunflower seeds so when he dies, sunflowers (Ukraine’s national flowers) will sprout from the soil. We’re raising funds for the Ukrainian army on crowdfunding apps and giving advice to the civilians being handed assault weapons about how to disable tanks, sharing weird homophobic pictures of Putin as a gay icon and spamming Russian government posts. Ukrainian president Volodymyr Zelensky has made the decision to stay and fight rather than flee like most would-be leaders who go all in for American foreign policy, and now is being deified by us as “badass”, “a true leader”, etc. etc., alongside his people, whose resistance to authoritarianism we are told is unparalleled in the modern world. After all, so it goes, who could be next? And like in Hong Kong, despite winning the culture war in hyperreality, the actual war in reality is won by the side with overwhelming military might, not morality. The real war is where Ukrainians are experiencing the genuine life-shattering effects of military conflict. It matters because this is the first time Western response is driven by Twitter outcry, and it will not be the last. A New EA Cause? Besides Hanania’s recommendations in the last section (which he admits are more or less impossible in an excellent interview with Caplan), a worthy EA priority might be to somehow turn the public tide on sanctions, which literally kill more people than Putin. Americans should be appalled by the atrocity committed in their names. The banality of the incompetence of foreign policy elites does not excuse their evil. With how entrenched the special interests are, I have no idea if it’s even worth trying, but at the very least the sheer amount of suffering and death from sanctions should be made common knowledge. Nuclear security is one of the top priorities in Effective Altruism, per 80,000 Hours, Future of Life Institute, and Our World In Data. Toby Orb, who wrote the definitive book on existential risk, The Precipice, estimates x-risk from nuclear war to be ~1 in 1000 in the next century. Luisa Rodriguez estimates a 1.1% chance of nuclear war each year and that the chances of a US-Russia nuclear war may be in the ballpark of 0.38% per year; summarised by Max Roser as: Nuclear risk is neglected by the public because of Pax Americana since the collapse of the USSR, and is not discussed as often in EA as it’s thought to be relatively well-funded and mainstream, but in fact major donors like the MacArthur Foundation have been withdrawing funding. As Joan Rohling details in an 80,000 Hours podcast there is much to be done, especially when Ukraine gave up their nuclear arsenal in 1994 in exchange for Russia’s promise to never threaten or use military force against them. A worthwhile adjacent cause area might be de-escalation of public outcry to reduce x-risk from nuclear war beyond just regular anti-proliferation efforts — even a Russian specialist from the RAND Corporation is surprised by how much public outrage is driving policy: Even just the pace of the sanctions: we went to 11 out of 10 in like two days — farther than many expected we’d ever get in short order. And I think the same is true about these military assistance initiatives. We’re just trying to do something because there’s a public demand for action. So that’s what worries me, that the sort of public outrage that’s being channeled in Western democracies through political systems could result in decisions that prove ultimately unwise. Despite how odd it is that some wars are “legal” while others aren’t, we should be glad UNSC exists as much as everyone laughs at how useless the rest of the UN is. All is fair in love and war, but international norms is all that stands between us and nuclear annihilation. It is hard to emphasise just how delusional it is for the public to fixate on no-fly zones — I, like Scott, am surprised we’re still capable of jingoism. 80,000 Hours has updated their top career recommendations to include China specialist to improve China-Western coordination on global catastrophic risk, which seems more important after reading how irrational and captured the American foreign policy apparatus is. As Hanania writes, “great power competition” is an anachronism. If Ukraine is the first war warped by hyperreality, it won’t be the last. Now that US foreign policy elites have driven Putin into the arms of China, let’s hope IR specialists can imbibe the public choice model instead of antagonising yet another nuclear rival. Public Choice Theory and the Illusion of Grand Strategy is an important work because it raises the sanity waterline, which at the least should make us stop killing millions for no reason, and at the most should make the human race more knowledgeable of how to prevent total extinction from nuclear armageddon. Pax Americana is dead, but a multipolar world will be more humane. Endnotes In the fiscal year 2018, the top five government contractors were all weapons manufacturers, with Lockheed Martin in first place at $40.6 billion. The Department of Defence spent $358 billion on contracting, ten times higher than second place Department of Energy. Collective action problems that stop a bunch of smaller companies from effectively influencing policy are no hindrance for companies like Lockheed Martin.
May 19, 2023 · Original source
… and we think, thank goodness that Germany is unified now. So much easier to think about! Can you imagine if the Our World in Data charts had to show separate lines for the Electorate of Saxony, the Prince-Bishopric of Augsburg, the Duchy of Brunswick-Lüneburg, and about 1,800 other semi-sovereign states? Can you imagine traveling around if each of them had its own currency? (Fun fact: the List of states in the Holy Roman Empire Wikipedia page doesn’t contain such a list. Instead it points to no less than 28 sub-lists.) Jacobs stops shy of asking, in either book, the question that seems to be the logical continuation of her reasoning: should everything be a city-state? Should we encourage separatism until each inhabited place in the world is either a city or a city region with its own currency? We can hazard a guess as to what her answer would be. She would probably say that there’s no need to upend everything right this moment. Just adopt an attitude of political openness and experimentation. Don’t try to hold together entities that don’t work that well. When separatist sentiment arises somewhere, you can argue it’s a bad idea, but don’t fight it out of emotion such as fear for your nation’s integrity. Eventually, things will settle — the regions that want to be city-states will be, and those that prefer to be united with others, for cultural or economic reasons, will stay that way. Unity has good PR and some genuine advantages, so there will still be plenty of it. But maybe Jane Jacobs never asks this question because she knows it’s irrelevant. We just can’t help fighting for our big countries and supranational unions (like the EU), and too bad if they enter long periods of stagflation until they violently collapse. This might be the right time to mention that her last book, published in 2004, is called Dark Age Ahead. IV. Something to Dislike For Everyone Jane Jacobs’s most famous book is The Death and Life of Great American Cities. She is recognized as perhaps the most influential thinker in urbanism. She is credited with saving Greenwich Village and SoHo in New York City, and helping cancel the Spadina Expressway in Toronto. To this day people organize “Jane’s Walks” as a living memorial to her impact on cities. But Jane Jacobs herself thought that her greatest intellectual contribution was not in city planning, but in economics. She thought that import replacement was her most important discovery, since it explained how wealth expands better than existing macroeconomic theories. She wrote multiple books that were explicitly about economics and was about to write another when she died, Uncovering the Economy. I am not an economist, so I might not be qualified to make a judgment on this matter, but: it seems to me that there’s a discrepancy here. Jacobs is widely seen as a great intellectual, but her economic ideas don’t quite seem mainstream. I’d never heard of import replacement before reading her book. Why not? The null hypothesis is that economists have examined her ideas and simply rejected them. There were some critical academic reviews of Cities and the Wealth of Nations when it came out, and more recently Tyler Cowen expressed his own mild skepticism. Some of the criticism involves the lack of quantitative data in her work, and her failure to think about issues of scale. The most obvious target, of course, is her city obsession: yes, cities are important, but they’re not the only economic phenomenon that matters, some would say. Perhaps Jacobs has overplayed her hand. But there are other possible explanations for the discrepancy. One is that she was a woman and had no credentials, which made it difficult for (mostly male) professionals to take her seriously. We know this was true at the beginning of her career at least. It seems possible that even after she managed to establish herself as an original urban thinker, economists had trouble accepting that she could, with her lack of any college degree, come up with new insights in their field. I doubt that’s really true today, though. We do take Jacobs seriously, and still read all of her books, which is more than we could say about most economists. Instead, I propose that the discrepancy comes from a darker place: in laboring to be comprehensive about cities and economics, she reached conclusions that most people don’t want to be true. No matter your politics, there’ll be something for you to dislike in Jacobs’s work. For example, it’s pretty clear that she didn’t think the European Union was a good idea, so she probably would have supported Brexit. Brexiters might rejoice, except that a lot of them are British nationalists who certainly don’t want Scotland to leave the UK, whereas Jacobs would agree with that. Which would be great news to Scottish independentists — except that if a new separatist movement arose within Scotland, she’d also support that. Jacobs’s ideas and grassroots activism in favor of small-scale, organic urban planning have come to be seen as left-wing — yet her criticism of national welfare programs wouldn’t make her out of place among hardcore right-wingers. Unless those right-wingers were military hawks, in which case they’d find no solace in reading Jacobs on military transactions of decline. Writing during the Cold War, Jacobs criticized the Soviet Union for its incredible centralization of decision-making in Moscow. She rightfully predicted its collapse, making her an ideological ally of the capitalist West, right? Not so, since the United States is also, according to her, too centralized and in the early stages of decay. “Today the Soviet Union and the United States each predicts and anticipates the economic decline of the other,” she writes. “Neither will be disappointed.” Whether she was correct about the US is left as an exercise to the reader. In any case, she did foresee, using her theory on cities, the decline of Japan. This must have been bold in the 1980s at the peak of the Japanese economic miracle, when there was a widespread trope that Japan would soon take over the world. Yet she was right: in 1991, Japan entered its “lost decade,” which soon became two lost decades, and then three. To be fair, she predicted the decline of all large-ish countries, so I wouldn’t mark her as a superforecaster or anything. Still, this puts in perspective the more recent trope that China is going to take over the world. No country, no ideology is safe from Jacobs’s prophecies. Smaller ideologies aren’t spared, either. Effective altruism would probably seem totally mistaken to her, since at its core it promotes an inorganic, top-down transfer of wealth from prosperous cities to poor areas. Progress studies people think that technological innovation will solve economic stagnation, but she would point out how labor-saving equipment so often causes damage when it is introduced to regions that don’t benefit from the other city forces, like the Scottish Highlands or many of her other examples in Colombia, India, or the American South. (This point would deserve an essay of its own, but reading Jacobs has made me a bit more worried about the “AI will take our jobs” thing. It’s clear that new jobs will appear, but when the technology city force from the San Francisco Bay Area reaches distant places with poor economies, which it will very soon thanks to the internet, the effects might not be very pleasant to see.) Overall, the political ideology that might fit Jacobs the best might be… libertarianism? She’s not a big fan of large governments who make big top-down decisions, clearly. Yet I don’t get the feeling that this association fits all that well either. Jacobs doesn’t seem to be anti-government if the government is at the city level. I doubt she would have liked the kind of hyperfragmented world depicted in Snow Crash by Neal Stephenson. I also doubt she’d be impressed by cryptocurrency-backed “cloud cities” or fantasies of charter cities, none of which she would see as real cities in the sense of concentrated pockets of people who start replacing what they import with local production. Jane Jacobs, in sum, was an archetypal accidental moderate. She took one idea very seriously — the idea that cities are fundamental — and explored its ramifications without caring in the slightest if it led to the “wrong” opinions, as her friends in 1980 Toronto must have thought when she wrote about Quebec. I don’t know if she went too far; I’m sure someone more qualified than I am can find flaws in that core idea or any of her other observations. But to me she sounds convincing, and her consistency is frankly admirable. So, to end this review on a more review-y note, go read Jane Jacobs. Her books are a delight, with their elegant arguments and masterfully told anecdotes. Her predictions often take an air of doom, but she is also an optimist who offers constructive ways forward. She sets an example for all of us who care about getting the details right, no matter the credentialed experts, the current political climate, or the great theories of the past. Image credits Cities and the Wealth of Nations book cover: from Amazon.
July 20, 2023 · Original source
Source: Mainly Macro Or various articles like The Atlantic’s How The UK Became One Of The Poorest Countries In Western Europe and Foreign Policy’s Britain Is Much Worse Off Than It Understands - Things Weren’t Nearly This Bad In The 1970s . This isn’t clearly reflected in the GDP statistics, which show the UK growing at an average rate for developed countries between 2000 and today: Source: Our World In Data Or between 2010 and today: I prefer the Our World In Data graphs since they let you clearly show relative growth, but they only go up to 2018. A World Bank graph requires a little more interpretation, but goes up to 2022: Source: World Bank. Britain is the thick blue line. …and it also shows UK growth being about average. So what’s going on? I asked about this in an Open Thread. Here were some of your responses. Eric Rall writes: There are two different ways of calculating real GDP per capita in an international context, both of which involve converting local currency to dollars and then inflation-adjusting the dollars based on the US's GDP deflator. One uses market exchange rates, while the other uses "Purchasing Power Parity", attempting to optimize the GDP figure as a proxy for standard-of-living by using local prices for equivalent goods and services as the currency conversion factor. For Brexit-related and COVID-related reasons, the relationship between PPP and market exchange rates for Britain have been highly unstable in the period in question: exchange rates have been very volatile (ranging from US$1.08 to US$1.40 per £1.00), and tariffs and COVID disruption have both radically changed the availability and prices of imported goods. Looking at either the PPP or market exchange rate numbers, everyone took a big hit in 2020, while Britain appears to have taken a deeper hit than France and the overall OECD average (the two control groups I picked off the top of my head). The big difference is that in market exchange rate terms, the recovery looks proportionate to the decline (i.e. Britain fell more, but also recovered proportionately faster so as to bounce back to approximately 2019 levels in 2022 the same as France and OECD): (source) But in PPP terms, the UK has recovered at the same rate as France and OECD and thus appears to have permanently (so far) lost ground in standard of living relative to other countries. UK was also growing more slowly in PPP terms between 2015 and 2019 than France, but about the same as the OECD average: (source) Putting some numbers on the second graph: Just before COVID, Britain had 106% the average OECD GDP
Source: World Bank. Britain is the thick blue line. …and it also shows UK growth being about average. So what’s going on? I asked about this in an Open Thread. Here were some of your responses. Eric Rall writes: There are two different ways of calculating real GDP per capita in an international context, both of which involve converting local currency to dollars and then inflation-adjusting the dollars based on the US's GDP deflator. One uses market exchange rates, while the other uses "Purchasing Power Parity", attempting to optimize the GDP figure as a proxy for standard-of-living by using local prices for equivalent goods and services as the currency conversion factor. For Brexit-related and COVID-related reasons, the relationship between PPP and market exchange rates for Britain have been highly unstable in the period in question: exchange rates have been very volatile (ranging from US$1.08 to US$1.40 per £1.00), and tariffs and COVID disruption have both radically changed the availability and prices of imported goods. Looking at either the PPP or market exchange rate numbers, everyone took a big hit in 2020, while Britain appears to have taken a deeper hit than France and the overall OECD average (the two control groups I picked off the top of my head). The big difference is that in market exchange rate terms, the recovery looks proportionate to the decline (i.e. Britain fell more, but also recovered proportionately faster so as to bounce back to approximately 2019 levels in 2022 the same as France and OECD): (source) But in PPP terms, the UK has recovered at the same rate as France and OECD and thus appears to have permanently (so far) lost ground in standard of living relative to other countries. UK was also growing more slowly in PPP terms between 2015 and 2019 than France, but about the same as the OECD average: (source) Putting some numbers on the second graph: Just before COVID, Britain had 106% the average OECD GDP
Is this because Britain had a worse COVID experience than other countries, or because they were having a normal COVID experience plus effects from Brexit?
September 04, 2025 · Original source
Each of these has their own local story. In Britain, it’s the paradoxical effects of Brexit. In the US, it’s Joe Biden being soft on immigration. And so on - but should we be looking for some deeper cause that explains the overall phenomenon? A commenter suggests “a way to soak up all the inflation from the COVID money printing”, but I can’t tell if that even makes sense. Still, should something something COVID be a leading hypothesis? 27: Jesse Singal vs. Mark Stern on the Skrmetti Supreme Court case that failed to overturn Tennessee’s ban on gender medicine. US law bans sex discrimination, so pro-transgender advocates argued that, since doctors often prescribe eg estrogen to biological women, it was sex discrimination to ban prescribing it to biological men. Tennessee’s anti-transgender argument was that they weren’t discriminating by sex, they were discriminating by diagnosis (estrogen for eg hot flashes, vs. estrogen for gender transition). There is some subtlety here (if a biological man grows breasts because of some hormone imbalance, doctors might give him testosterone to counteract it, and this seems sort of like giving biological women testosterone to make them look less like women), but these are still sort of different diagnoses (gynecomastia vs. gender dysphoria) and Tennessee said you can still think of it as diagnostic discrimination rather than sex discrimination. This makes sense, except that the standards around sex discrimination are very strict and sort of box the court in here. And in a fit of wokeness, the 2020 court (including some of the conservative justices hearing this case) applied these standards very strictly and ruled that discriminating against gays was a form of sex discrimination (since if women can date men, it’s sex discrimination if men can’t also date men), and this is obviously the same argument. Now that wokeness is less popular, the court wants to rule against transgender, but it can’t help tripping over its previous ruling and giving some kind of unprincipled confusing non-opinion. 28: Contra compelling anecdotes, only ~5% of people raised very religious end up atheist later in life (X). Most people are about as religious as their parents; most exceptions are only slightly less religious, and most families that secularize do it over several generations. Note: percentages are of total, not of each row! 29: Related: social science team proposes a three-stage model of secularization: decreased public ritual participation → decreased personal importance → decreased identification, presents apparently confirmatory data. If true, would be somewhat inconsistent with intellectual models (eg people learn about evolution and start doubting the Bible) and more consistent with institutional models (eg the government provides welfare so people no longer need to be part of a tight-knit church). 30: Navigating LLMs’ spiky intelligence profile is a constant source of delight; in any given area, it seems like almost a random draw whether they will be completely transformative or totally useless. Now Ethan Strauss reports that they are, for some reason, extraordinarily effective at teaching people golf. “I am predicting the Golf Revolution, or perhaps decline, if your perspective is that optimization tends to ruin hobbies. A sport for obsessives has been gifted the ideal tool for refinement.” 31: Claim (via nxthompson on X): “In a huge survey of young kids about phones and technology, they all say they want to be out playing in the real world. But parents don't let them out unsupervised. So they're stuck on their phones.” Interesting, but I’m nervous about social desirability bias - how many adults would say on a survey that they would rather be on their phones than playing with friends? But adults do have this choice and mostly go with the phones. 32: Steven Adler on AI psychosis. He tries to analyze ER admissions data for psychosis and finds no change. I don’t think anyone reasonable expected this to be a large enough effect to show up in ER admissions data, but there are lots of unreasonable people so I appreciate his effort. He thinks AI companies might have better data on this, and encourages them to release it. 33: Cuartetera was the greatest polo horse ever. Polo players responded in a very practical way: they cloned her, dozens of times (and it worked; the clones are also excellent). Now there is a lawsuit as different polo teams fight to get their hands on Cuartetera clones. What is the equilibrium? If the outsiders get their hands on the genetic material, do we see a world where every polo horse is a Cuartetera clone? How much is lost if nobody ever tries to breed a polo horse better than Cuartetera (since the economics might not check out if the odds of success for any given foal is too low)? H/T Gwern and Siberian Fox (on X). 34: Claim: as of 2013, India’s Agarwal caste, who make up less than 1% of the population, got 40% of the e-commerce funding. 35: Owlposting: What Happened To Pathology AI Companies? Pathology is a medical specialty. A typical task involves looking at a microscope slide full of cells and trying to determine if any of them are cancerous. This seems like a good match for AI - and for years, studies have been showing that in fact AI can equal human experts. So why isn’t it being used more? The author’s three answers: first, slide scanning is expensive and clunky, and you can’t apply AI to a slide until you digitize it. Second, it’s hard to figure out a business plan where this saves someone money and doesn’t step on the toes of big companies that can outcompete anyone they don’t like. Third, pathologists use the context of a patient’s entire clinical history when they interpret a slide, and AIs that can’t do that (either because of technical limitations or legal/privacy limitations) are at a disadvantage even if their skills specifically relating to slide-reading are better. 36: Noahpinion: Will Data Centers Crash The Economy? Suppose that AI is a bubble, either permanently (because the technology isn’t really transformative) or temporarily (because it can’t transform things quickly enough to keep up with all the dumb money pouring into it). Will the sudden write-off of data centers lead to a broader economic collapse? In 2001, the dot-com bubble harmed the tech sector, but didn’t take the rest of the economy down with it; in 2008, the subprime mortgage bubble did take the rest of the economy down with it, because it damaged banks that the whole economy relied on. The optimistic case for AI is that data center spending is mostly coming from big companies like Google and Meta that can absorb a lot of loss. The pessimistic case is that some of the money is coming from private credit, a new-ish form of finance which hasn’t really been stress-tested and whose failure modes are still poorly understood. Noah’s final verdict: the stage isn’t obviously set for a crisis yet, but there’s the potential to get there and we should consider acting (how?) early. 37: The latest Twitter talking point is that universal hepatitis B vaccination at birth is “woke”: Hep B is (aside from mother-to-child transmission) often sexually transmitted, slutty women’s children are more likely to have Hep B, so perhaps giving the vaccine to everyone (instead of testing and only giving to the children of women who test positive) is an attempt to spare slutty women the embarrassment of getting a positive test. Ruxandra Teslo provides the counterargument - Hep B tests take a while, the medical system is fragmented, and any attempt to test people and then give the vaccine inevitably leads to many positive tests falling through the cracks. Vaccinating at birth is easy and hard to screw up, the vaccine has no known side effects, and empirically child Hepatitis B rates go down (by as much as 2/3!) when countries switch from test-and-vaccinate to universal vaccination. This benefits everyone - even people who never have unprotected sex and always follow up on their medical tests - because toddlers in daycare exchange saliva copiously, and if your toddler exchanges saliva with a Hep B positive toddler they could get the disease. A funny Twitter interaction was seeing Republicans in Congress hop on the anti-slut anti-vaccination bandwagon - except for Senator Bill Cassidy (R-Louisiana), who happens to be a liver doctor, and who is still fighting the good fight. I am always nervous when a good person who I like starts engaging on Twitter, since it elevates the discourse there but also gradually turns their brain into mush - but Ruxandra has made the leap and is doing a great job not just on bio related topics but also (for example) countering Curtis Yarvin on the history of her native Romania. 38: The response to GPT-5 was confusing; most specific people who reviewed it said they were impressed (Ethan Mollick, Tyler Cowen, Nabeel Qureshi, Taelin), it performed as expected on formal benchmarks, but the overall vibes declared it a big failure. Peter Wildeford speculated that maybe there was some kind of sinister pay-to-play early access bias involved. Zvi went the other way, calling it a “reverse DeepSeek moment” (insofar as DeepSeek was a pretty average model that got glowing praise.) In the end, I agree with Peter that this was mostly a branding issue. o3 was a genuinely revolutionary model; if OpenAI had called it “GPT-5”, it would have met expectations. Instead, they called it “o3”, and called a minor incremental update a few months later “GPT-5”. Then people got mad that the exciting-sounding “GPT-5” was merely an incremental update. A secondary issue was that the router wasn’t very good, and so many queries got routed to a small version without thinking mode that was if anything a downgrade from o3. I think this tweet by Shakeel perfectly encapsulates the essence of GPT discourse in two sentences: …but maybe it’s worth asking why GPT-5 isn’t bigger than o3. Was 4.5 a failed attempt at scaling? Did it fail in a way that sort of back-handedly justifies the “lost steam” take? Does the answer depend on distinctions between pre-training scaling, post-training scaling, etc? How? 39: This month in etymology: did you know that “oy vey” is a “fully Germanic phrase” which is cognate with English “oh woe!” (h/t Wylfcen on X) 40: mRNA shows promise to be a game-changing treatment for cancer, but RFK is trying to halt research. But so far he can only starve it of money, not ban it, and the funding gap is only $500 million. Will there be enough philanthropic billionaires and private foundations to step up? Zvi points out that although there is usually a game of chicken where foundations are hesitant to touch something the government cancelled lest the government decide it can cancel everything and hope philanthropists pick up the bill, in this case there are no game theory considerations - RFK is halting it because he genuinely wants it halted, and they are thwarting him rather than playing into his hands. The only problem is that $500M is a lot of money for the private sector; a few foundations could technically afford it, but not many could afford it comfortably and still have money left over for the next few crises of this magnitude. I hope someone is trying to organize a coalition. 41: AI fantasy flash fiction Turing test. Eight stories about demons, four by famous fantasy authors, four by ChatGPT. After 3000 votes, AI wins: humans can't tell the difference and slightly prefer the AI stories. My own score was only 75%. But I will say that I thought Mark Lawrence's was obviously the best, I was ~100% sure it was human, and it convinced me that regardless of the official results it's still possible to write flash fiction that an AI obviously can't do. 42: “SignPro” offers customized “In This House We Believe” signs, try not to use this for evil. 43: China think tank assessment of how in control Xi is: still very in control, maybe not infinitely in control. 44: Related - did you know (h/t xlr8harder) that if you ask AI to write a science fiction story, it will very often name the protagonist “Elara Voss” (or some very close variant like Elena Voss), and this remains true across various models and versions? Related: Chelsea Voss of OpenAI is having a baby and has the opportunity to do the funniest thing. 45: “Hector (cloud) is a cumulonimbus thundercloud cluster that forms regularly nearly every afternoon on the Tiwi Islands in the Northern Territory of Australia…[he is sometimes called] Hector the Convector”. 46: British allergy sufferers who want to know the ingredients of things demand that British cosmetics stop listing their ingredients in Latin. “For example, sweet almond oil is Prunus Amygdalus Dulcis, peanut oil is Arachis Hypogaea, and wheat germ extract is Triticum Vulgare.” 47: Text-based RPG about being an NYT journalist at the Manifest prediction market conference. I make a brief appearance. 48: Study uses supposedly-random variation in doctor assignments to test whether the marginal mental health commitment is good or bad for patients, finds that it is quite bad. Freddie de Boer is violently skeptical (maybe literally so?) and makes some good points about how a single quasi-experimental study is never absolute proof. But I don’t think he quite justifies his opinion that the paper was irresponsible and should never have been published; it’s just a normal quasi-experimental study that we should nod and say “huh” at but not overweight as the culmination of all possible research that overcomes all possible priors. My prior is that the marginal commitment is pretty useless (many commitments are just “well, since this person arrived at our ED for some reason, it would look bad from a medico-legal perspective to just let them go, so let’s keep them a few days to evaluate” - and yeah, you should be upset about this) but I’m still surprised by how many outright negative (as opposed to zero) effects the researchers found. The strongest argument for negative effects is that it will make some people miss work and maybe lose their job. But this study found that commitment ~doubles the risk of near-term suicide (admittedly only from 1% to 2%), which would have been outside my confidence intervals for how bad it could be. I suspect confounding, but only on general principle, and I wouldn’t be too surprised either way. 49: This tweet is probably bait, but I found it a thought-provoking question: I think there’s a boring answer, where the law is more complex than just a single number and whatever kind of weird trafficking Epstein was doing is worse than whatever normal relationships these European laws are permitting. But assuming that there’s a substantive difference even after taking that into account, I think my answer is something like - we’ve got to divide kids from adults at some age, there’s a range of reasonable possible ages, we shouldn’t be too mad at other societies that choose different dividing lines within that range - but having decided upon the age, we’ve got to stick with it and take it seriously (in the sense of penalizing/shaming people who break it). This is more culturally relativist than I expected to find myself being, so good job to Richard for highlighting the apparent paradox. 50: Dilan Esper describes his experience as one of Hulk Hogan’s attorneys in the Gawker lawsuit (X). Parts I found interesting: none of the lawyers knew Thiel was funding the lawsuit; Gawker probably could have won if they had been slightly competent but kept "shooting themselves in the foot"; and Gawker probably could have won if they had just pixelated the private parts in the video. 51: Amazing concept and poems (link on X): I tried to see if AI could do this, and it did something that technically met the requirements but had zero artistic merit - using a lot of words like “nowhere” and “outside” in one, then separating them out to “no where” and “out side” in the other. I didn’t invest much energy in creating a clever prompt telling it not to do that, so feel free to report if you get better success. 52: New study claims consultants are actually good, at least for profits: "We find positive effects on labor productivity of 3.6% over five years, driven by modest employment reductions alongside stable or growing revenue" 53: A Polish team tries to test Peter Turchin’s equations for predicting political unrest on recent Polish history, has to make some changes but claims mostly positive results. 54: New big multi-author Substack, The Argument, trying to be a sort of center-left version of the model pioneered by The Free Press and other high-production-value ideological Substack properties. Excited to see Kelsey Piper is involved, and she starts off strong with a post on the latest round of First World basic income studies, which find few positive effects. This is surprising, because recipients didn’t waste the money on alcohol or gambling or anything - they paid down debt and got useful goods. Still, it didn’t even affect things that should have been obvious, like stress level. It’s not even clear that amounts of money large enough to help with rent made homeless people more likely to get houses! Matt Bruenig criticizes the article, accusing Kelsey’s studies of being downstream of Perry Preschool style dreams that exactly the right welfare program will have massively compounding effects that cut poverty out at the root and turn everyone into elite human capital; he thinks giving people money won’t do this, but it will increase equality and give the poor better lives. I assume he’s not a strong hereditarian, but his argument makes even more sense from that perspective, and I’ve certainly criticized dumb outcome measures like infant brain waves which we have only tenuous reasons to think are related to anything we care about. But Kelsey reasonably responds that the outcome measures she’s talking about include stress level and life satisfaction. To defuse this critique, Bruenig either has to argue that our construct “life satisfaction” doesn’t really measure whether someone’s life is satisfactory, or else claim that giving poor people satisfactory lives isn’t really what we’re going for - which I think would require more explanation on his part. There’s some further (impressively acrimonious) debate on X, but I don’t see anything that addresses my core concern. GiveDirectly, a charity involved in basic income experiments, has a presponse here; they say that some studies are positive, and that the ones that aren’t might have tried too little cash to matter, or been confounded by COVID making everything worse. They also point out that basic income is harder to study than traditional programs like giving people housing, because if you’re giving housing you can measure housing-related outcomes directly and have a pretty good chance of getting enough statistical power to find them, but since everyone spends cash on different things, the positive effects might be scattered across many different outcomes (and therefore too small to reach significance on each). Everyone involved in this debate wants to emphasize that the poor results are for First World studies only, and that studies continue to show large benefits to giving cash in the developing world. 55: Related: I was less impressed by The Argument’s first foray into housing policy, which follows an all-too-familiar pattern: Some people say they don’t like noise and disorder and try to make rules against it in their apartments.
BLM

BLM is a recurring concept in the Astral Codex Ten archive, appearing 6 times across 6 issues between March 25, 2021 and July 23, 2024. The archive places it in contexts such as "Imagine that Mark Zuckerberg decided he personally really disliked BLM"; "At least $250 million in damage from BLM protests this year"; "This itself doesn’t prove that the murder spike was because of the BLM protests". It most often appears alongside Trump, China, Twitter.

Article page
BLM
Mention count
6
Issue count
6
First seen
March 25, 2021
Last seen
July 23, 2024
March 25, 2021 · Original source
Right now there's religious pressure on tech companies to conform. Someone on Twitter pointed out that tech censoring Parler isn't a sign of their strength, but of their weakness. Imagine that Mark Zuckerberg decided he personally really disliked BLM, and he was going to censor BLM and any people/organizations/apps that promoted it from Facebook. Do you think he would succeed? Do you think he could stay CEO of Facebook after he was found to be doing this? Mark Zuckerberg and Big Tech in general are as much slaves to the prevailing religion as the rest of us; their "power" is the power to choose between medium vs. high levels of conformity.
April 26, 2021 · Original source
US/WORLD 1. Biden approval rating (as per 538) is greater than 50%: 80% 2. Court packing is clearly going to happen (new justices don't have to be appointed by end of year): 5% 3. Yang is New York mayor: 80% 4. Newsom recalled as CA governor: 5% 5. At least $250 million in damage from BLM protests this year: 30% 6. Significant capital gains tax hike (above 30% for highest bracket): 20% 7. Trump is allowed back on Twitter: 20% 8. Tokyo Olympics happen on schedule: 70% 9. Major flare-up (significantly worse than anything in past 5 years) in Russia/Ukraine war: 20% 10. Major flare-up (significantly worse than anything in past 10 years) in Israel/Palestine conflict: 5% 11. Major flare-up (significantly worse than anything in past 50 years) in China/Taiwan conflict: 5% 12. Netanyahu is still Israeli PM: 40% 13. Prospera has at least 1000 residents: 30%
June 29, 2022 · Original source
In my review of San Fransicko, I mentioned that it was hard to separate the effect of San Francisco’s local policies from the general 2020 spike in homicides, which I attributed to the Black Lives Matter protests and subsequent police pullback.
A priori there’s no reason to expect lockdowns and “cabin fever” to hit blacks much harder than every other ethnic group. But there are lots of reasons to expect that the Black Lives Matter protests would cause police to pull back from black communities in particular. I think this is independent evidence that the homicide spike was because of the protests and not the pandemic.
Although the George Floyd protests in May 2020 were the largest round of Black Lives Matters protests, there had been several previous rounds. Most notable were the shooting of Michael Brown in Ferguson, MO in August 2014, and the death of Freddie Gray in police custody in Baltimore in April 2015. If Black Lives Matters protests can cause homicide spikes, we would expect to see one around this time also.
July 22, 2022 · Original source
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December 07, 2023 · Original source
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July 23, 2024 · Original source
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Big Pharma

Big Pharma is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between January 25, 2021 and October 30, 2025. The archive places it in contexts such as "I'm just annoyed that this relatively rare legitimate use case serves a fig leaf for the inevitable Big Pharma campaign"; "He riffs on the Mafia, Big Pharma, false flags, faked autopsies"; "Big Pharma has a symbiotic relationship with the FDA". It most often appears alongside FDA, ACX, AI.

Article page
Big Pharma
Mention count
5
Issue count
5
First seen
January 25, 2021
Last seen
October 30, 2025
  • FDA 3 shared issues
  • ACX 2 shared issues
  • AI 2 shared issues
  • Anthropic 2 shared issues
  • Bush 2 shared issues
January 25, 2021 · Original source
I can't think of any situation where it would be reasonable to prescribe Evekeo as a first-line stimulant. If someone has done sort of okay on Adderall but has lots of side effects, and you put them on Dexedrine and they get worse instead of better, I suppose you could try putting them on Evekeo to see if they really are in the small subgroup of l-amphetamine beneficiaries. I'm just annoyed that this relatively rare legitimate use case serves a fig leaf for the inevitable Big Pharma campaign to push this new on-patent very expensive medication on a bunch of people who don't need it.
July 22, 2022 · Original source
It doesn’t let up. He riffs on the Mafia, Big Pharma, false flags, faked autopsies… were he alive today, he’d be ranting about banksters and Hollywood elites on a podcast sponsored by Express VPN. But he’s working towards a point:
August 08, 2022 · Original source
Or: what if we got the companies themselves on board? Big Pharma has a symbiotic relationship with the FDA; the biggest corporations hire lobbyists and giant legal departments, then use the government to crush less-savvy startup competitors. Regulations that boiled down to “only these three big tech companies can research AGI, and they have to do it really slowly and carefully” would satisfy the alignment community and delight the three big tech companies. As a sort-of-libertarian, I hate this; as a sort-of-utilitarian, if that’s what it takes then I will swallow my pride and go along.
February 15, 2023 · Original source
But a disadvantage - one I find overwhelming - is that when you do come across a conspiracy theory, you’re totally blindsided by it. Since you “know” conspiracy theories only sound convincing to idiots, and you “know” you’re not an idiot, this convincing thing you just heard can’t be a conspiracy theory! It must be a legitimately true thing that Big Pharma is suppressing! Everyone knows Big Pharma sometimes suppresses stuff, that’s not a . . .
Eliezer Yudkowsky’s position is Let Them Debate College Students. I’m not a college student, but I’m not Anthony Fauci either, and I am known for blogging about extremely dignified ideas like the possibility that the terrible Harry Potter fanfiction My Immortal is secretly an alchemical allegory. I haven’t seen ivermectin advocates using “Scott takes this seriously enough to argue against it!” as an argument, and I have seen them getting angry about it and writing long responses trying to prove me wrong. Sometimes they have used me getting some points wrong as a positive argument, and I would be open to the argument that I failed in not arguing against it well enough that they couldn’t do that, but nobody has been making that argument, and if they did, then it would imply that people who are smarter than me should take over the job, which I endorse. III. I worry Scott Aaronson thinks I’m saying you shouldn’t trust the experts, and instead you should always think for yourself. I’m definitely not trying to say that. I’ve tried to be pretty clear that I think experts are right remarkably often, by some standards basically 100% of the time - I realize how crazy that sounds, and “by some standards” is doing a lot of the work there, but see Learning To Love Scientific Consensus for more. Bounded Distrust also helps explain what I mean here. I also try to be pretty clear that reasoning is extremely hard, it’s very easy to get everything wrong, and if you try to do it then a default option is to get everything wrong and humiliate yourself. I describe that happening to me here, and presumably it also happens to other people sometimes. What I do think is that “trust the experts” is an extremely exploitable heuristic, which leads everyone to put up a veneer of “being the experts” and demand that you trust them. I come back to this example again and again, but only because it’s so blatant: the New York Times ran an article saying that only 36% of economists supported school vouchers, with a strong implication that the profession was majority against. If you checked their sources, you would find that actually, it was 36% in favor, 19% against, 46% unsure or not responding. If you are too quick to seek epistemic closure because “you have to trust the experts”, you will be easy prey to people misrepresenting what they are saying. I come back to this example less often, because it could get me in trouble, but when people do formal anonymous surveys of IQ scientists, they find that most of them believe different races have different IQs and that a substantial portion of the difference is genetic. I don’t think most New York Times readers would identify this as the scientific consensus. So either the surveys - which are pretty official and published in peer-reviewed journals - have managed to compellingly misrepresent expert consensus, or the impressions people get from the media have, or “expert consensus” is extremely variable and complicated and can’t be reflected by a single number or position. And I genuinely think this is part of why ivermectin conspiracies took off in the first place. We say “trust science” and “trust experts”. But there were lots of studies that showed ivermectin worked - aren’t those science? And Pierre Kory MD, an specialist in severe respiratory illnesses who wrote a well-regarded textbook, supports it - isn’t he an expert? Isn’t it plausible that the science and the experts are right, and the media and the government and Big Pharma are wrong? This is part of what happens when people reify the mantras instead of using them as pointers to more complicated concepts like “reasoning is hard” and “here are the 28,491 rules you need to keep in mind when reading a scientific study.” IV. All of this still feels rambly and like it’s failing to connect. Instead, let me try describing exactly what I would advice I would give young people opening an Internet connection for the first time: You are not immune to conspiracy theories. You have probably developed a false sense of security by encountering many dumb conspiracy theories and feeling no temptation to believe them. These theories were designed to trap people very different from you; others will be aimed in your direction. The more certain you are of your own infallibility, the less aware you will be, and the worse your chances. The ones that get you won’t look like conspiracy theories to you (though they might to other people). When you run into conspiracy theories you don’t believe, feel free to ignore them. If you decide to engage, don’t mock them or feel superior. Think “there, but for the grace of God, go I.” Get a sense of what the arguments for the conspiracy theory look like - not from skeptics trying to mock them, but from the horse’s mouth - so you have a sense of what false arguments look like. Ask yourself what habits of mind it would have taken the people affected by the theory to successfully resist it. Ask yourself if you have those habits of mind. Yes? ARE YOU SURE? To a first approximation, trust experts over your own judgment. If people are trying to confuse you about who the experts are, then to a second approximation trust prestigious people and big institutions, including professors at top colleges, journalists at major newspapers, professional groups with names like the American ______ Association, and the government. You might ask: Don’t governments and other big institutions have biases? Won’t they sometimes be wrong or deceptive? And even if you’ve lucked into the one country and historical era where the government 100% tells the truth and the intellectuals have no biases, doesn’t someone need to keep the flame of suspicion alive so that it’s available to people in other, less fortunate countries and eras? The answer is: absolutely, yes, but also this is how conspiracy theories get you. They will claim that they are the special case where you need to take up the mantle of Galileo and Frederick Douglass and Jane Jacobs and all those people who stood up to the intellectual authorities and power structures of their own time. The whole point of “you are not immune to conspiracy theories” is that the evidence for them can sound convincing because something like it is sort of true. This is equally so for second-level claims like “prestigious institutions are fallible and biased”. Probably something like “make a principled precommitment never to disagree with prestigious institutions until you are at least 30 and have a graduate degree in at least one subject” would be good advice, but nobody would take that advice, and taking it too seriously might crush some kind of important human spirit, so I won’t assert this. But always have in the back of your mind that you live in a world where it’s sort of good advice. If you feel tempted to believe something that has red flags for being a conspiracy theory, at least keep track of the Inside vs. Outside View. Say “on the Inside View, this feels like the evidence is overwhelming; on the Outside View, it sounds like a classic conspiracy theory”. You don’t necessarily have to resolve this discomfort right away. You can walk around with an annoying knot in your beliefs, even if it’s not fun. Look for the strongest evidence against the idea. Keep in mind important possibilities like: Is it possible that everyone who disagrees with the idea is a bad mean cruel stupid person, but also, the idea really is false?
October 30, 2025 · Original source
18: The politics of RFK Jr’s Tylenol announcement (X). RFK “overpromised an autism report with a tight deadline to his base and to Trump, who is curious about autism in a sort of hobbyist way.” He originally planned to blame vaccines, but this would have required him to do something about them, and he didn’t have enough political capital for that. The Tylenol announcement let him satisfy his conspiracy theorist base without offending any powerful lobbies - Tylenol is generic, doesn’t make Big Pharma any money, and even the Tylenol manufacturers don’t care that much about an extra easy-to-ignore warning against use during pregnancy (hint for Europeans who don’t understand this story: Tylenol = paracetamol). I continue to believe the real reason for rising autism rates is increased diagnosis.
bipolar

bipolar is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between January 28, 2021 and March 26, 2026. The archive places it in contexts such as "schizophrenia and bipolar and whatever are mere dimensional variation"; "risk genes are shared with other psychiatric disorders, like schizophrenia, bipolar, ADHD, and Tourette's"; "I’m more willing to consider the possibility that Musk might have bipolar by some definition". It most often appears alongside schizophrenia, US, Jeff Bezos.

Article page
bipolar
Mention count
5
Issue count
5
First seen
January 28, 2021
Last seen
March 26, 2026
January 28, 2021 · Original source
And intermittent explosive disorder! This is the fake disorder we made up so that we had something to diagnose angry people with! I don’t think anyone thought this one was real, not even the psychiatrists who invented it and stuck it in the DSM! But here come the taxometricians, saying that schizophrenia and bipolar and whatever are mere dimensional variation, but IED (yes, that’s really the acronym) is an honest-to-goodness crisply-defined category based on objective reality? What gives?
February 11, 2021 · Original source
And even beyond the studies - I used to work in the business district of San Francisco, meaning I got to see a lot of very high-functioning people with mental disorders. I was constantly surprised how many people - while genuinely suffering from their conditions - also seem to be succeeding partly because of them. The bipolar programmer who is nonfunctional half the year, but his company keeps him on anyway because he codes at an absolutely superhuman level of brilliance while manic. The obsessive-compulsive cybersecurity expert who finds weaknesses everybody else missed. The endless line of autistic people succeeding in math-heavy jobs, exactly the way the stereotypes would predict.
Even normal autism risk genes that people get from their parents are mostly straight-out bad. At least this is how I interpret Tsur, Friger, and Menashe who find evidence of negative selection for most autism-related variants - based on their place in the genome, it looks like evolution has been trying hard to get rid of them. Also, some risk genes are shared with other psychiatric disorders, like schizophrenia, bipolar, ADHD, and Tourette's. These disorders all have very different symptoms, and very different associated personalities, but they all have one thing in common: they are abnormal and dysfunctional. Most likely these genes are involved in basic brain functions - making sure cells get enough oxygen, keeping the blood-brain barrier strong, preventing inflammation - and less functional alleles generally make everything worse. These, too, are in our failure column.
I don't think depression, bipolar, PTSD, or addiction fit this model neatly. Depression and bipolar are probably attractor states in dynamical systems; it's possible that having this attractor state has counterbalancing advantages, but I couldn't begin to speculate on what they are. PTSD and addiction are a combination of a genetic predisposition with an event/substance that initiates the disorder; I don't know whether the genetic predisposition has any advantages.
September 18, 2023 · Original source
But hypomania is usually temporary and rare. A typical person with bipolar disorder might have hypomania for a week or two, once every few years. Musk is always like this. Bipolar disorder usually starts in one’s teens. But Musk was like this even as a child.
His low periods might meet criteria for a mixed episode. But a bipolar disorder that starts in childhood, continues all the time, has no frank mania, and has only mixed episodes instead of depression - doesn’t really seem like bipolar disorder to me. I’m not claiming there’s nothing weird about him, or that he doesn’t have extreme mood swings. I’m just saying it is not exactly the kind of weirdness and mood swings I usually associate with bipolar. I have never met or talked to him and he probably keeps a lot of his inner life secret so I could be wrong, I’m just not seeing obvious evidence for this.
Surprising to see a psychiatrist write a review of Musk focusing on his psychology and replete with quotations about his erratic sleep habits or obsessive focus, and never use the words "bipolar" or "mood disorder"
August 26, 2025 · Original source
I think now there might be several dozen subreddit moderators who could accurately describe their job as “witch webmaster who runs an online service giving advice to new witches”. And partly it was because there are so many crazy beliefs in the world - spirits, crystal healing, moon landing denial, esoteric Hitlerism, whichever religions you don’t believe in - that psychiatrists have instituted a blanket exemption for any widely held idea. If you think you’re being attacked by demons, you’re delusional, unless you’re from some culture where lots of people get attacked by demons, in which case it’s a religion and you’re fine. This is partly political self-protection - no psychiatrist wants to be the guy who commits an Afro-Caribbean person for believing in voodoo. But it also seems to track something useful about reality. Nietzsche wrote “Madness is something rare in individuals — but in groups, parties, peoples, and ages, it is the rule.” Most people don’t have world-models - they believe what their friends believe, or what has good epistemic vibes. In a large group, weird ideas can ricochet from person to person and get established even in healthy brains. In an Afro-Caribbean culture where all your friends get attacked by demons at voodoo church every Sunday, a belief in demon attacks can co-exist with otherwise being a totally functional individual. So is QAnon a religion? Awkward question, but it’s non-psychotic by definition. Still, it’s interesting, isn’t it? If social media makes a thousand people believe the same crazy thing, it’s not psychotic. If LLMs make a thousand people each believe a different crazy thing, that is psychotic. Is this a meaningful difference, or an accounting convention? Also, what if a thousand people believe something, but it’s you and your 999 ChatGPT instances? III. A Hidden Army Of Crackpots I have a family member who believes that the theory of evolution, as usually understood, cannot possibly work. He has developed an alternative theory called “noctogenesis” which patches Darwinism using ideas from the transactional interpretation of quantum mechanics, and he works on-and-off on various related books and papers. I have told him I suspect he might be a crackpot; he stands by his claims. It’s fine; when I got into the technological singularity and AI safety, lots of people suspected I was a crackpot, and I stood by my claims too. You’ve got to stand by your family members even when they’re slightly crackpottish. This family member is happily married, retired after running a successful business, and generally a normal likeable person. He has no signs of mental illness, and doesn’t talk about quantum evolution unless someone else brings it up first. There must be millions of people like him. Used car dealers with proofs of P = NP, dentists who think they’ve discovered something important about Mary Magdalene, math professors obsessed with destroying the moon. I’m working on evaluating ACX Grants, and these people are out in force. A few propose literal perpetual motion machines. Others have vaguer plans, like some kind of social media app (it’s always a social media app) that will cause world peace. Many of them have decent jobs and seem like upstanding members of society. Their secrets are known only to themselves, their family members, and their would-be grantmaker. …and, increasingly, their chatbots. After years of hiatus (or at least not talking to me about his work) my family member is back on the quantum evolution beat, and LLMs appear to be involved. If I knew him less well, I would think the LLM had caused the quantum evolution theory - but no, it just made it much easier to research and write about. Is this psychosis? The answer has to be no, but it’s once again hard to draw the line. A very small number of crackpots will be vindicated by history. A larger number will be erroneous but sympathetic - the official account of the Kennedy assassination is pretty weird, and reasonable minds can disagree. From there, we get to ones that are maybe not so sympathetic: flat earth, QAnon, the thing where the Queen was an alien lizard. If only one person thought the Queen was an alien lizard, and they never managed to convince anyone else, would that be sufficient evidence for a delusional disorder? I’m not sure. (psychiatry has a diagnosis, schizotypal personality, which sort of involves being a normal person with a few odd ideas, but it’s not a great match for many of these people, and interesting mainly as a genetic curiosity - it travels in the same families as schizophrenia itself) Maybe this is another place where we are forced to admit a spectrum model of psychiatric disorders - there is an unbroken continuum from mildly sad to suicidally depressed, from social drinking to raging alcoholism, and from eccentric to floridly psychotic. People who are eccentric can remain so their whole lives, with the level of expression depending on their social connections and the ease of pursuing their rabbit holes. LLMs, by making it easier to pursue odd theories and serving as a surrogate social connection who always agrees with you, can bring latent crackpottery into the open. IV. Cause And Effect Bipolar disorder has an interesting relationship with sleep. Most manic people sleep very little, or not at all - maybe an hour or two a night. But also, poor sleep can cause bipolar episodes in people prone to them. In a typical case, a bipolar who’s been well-controlled for years will get assigned a big report at work and get poor sleep for a few nights until they finish. At first, this will be just as bad as it sounds, and they’ll be working through a fog of tiredness. Then the tiredness will lift. They’ll feel normal, then better-than-normal, until finally they can’t sleep even if they want to. Then they’ll email the report to their boss and it will be written entirely in Assyrian cuneiform. I increasingly think this isn’t just an incidental feature of bipolar, but part of the reason it exists as a diagnostic category at all. Most people have a compensatory reaction to insomnia - missing one night of sleep makes you more tired the next. A small number of people have the reverse, a spiralling reaction where missing one night of sleep makes you less tired the next. Solve for the equilibrium and you reach a stable attractor point where you never sleep at all. But this does other bad things to your brain - hence the cuneiform. I’m not claiming that bipolar is “just” sleep loss. As Borsboom et al will tell you, psychiatric disorders can be viewed as complex networks of symptoms, each reinforcing the others. In a few pure cases, you can get a ratchet going with sleep alone, and the sleeplessness will spark everything else. More likely, there will be lots of interactions between poor sleep and everything else, and the “everything else” can sink or hypercharge an impending manic episode. Still, I find this a fruitful way to think about bipolar. Sleeplessness is both the cause and the effect. Can delusions also be like this? That is, suppose there’s some personality trait where having one delusion makes you even more delusional. Maybe the delusion makes you excited (who wouldn’t be excited to learn they’re the Messiah?), and you’re more delusional when you’re in an excited state and not thinking clearly. Or maybe it’s a three-symptom cycle - the delusion causes excitement, which makes you unable to sleep, which scrambles your thinking, which makes you more delusional (which makes you even less able to sleep, etc). The point is: delusions are certainly an effect of bipolar disorder. And in the dynamical system model of psychiatric disorders, we should expect that effects are often also causes; that’s how the vicious cycle gets going. This is the best I can do at modeling true LLM psychosis. Someone with a trait where delusions lead inevitably to more delusions starts using an LLM. The LLM accentuates whatever usual tendency towards crackpottery they have and makes them believe something a little crazier than whatever they believed before. Then that crazy belief feeds upon itself and causes other things like excitement and sleep loss, which (if the person is predisposed) precipitates a true psychotic episode. V. Folie A Deux Ex Machina If one person believes a crazy thing, it’s a delusion; if a thousand people believe it, it’s a religion. What if exactly two people believe it? In psychiatry, this is called folie a deux. It fits awkwardly into our nosology and is rarely seen. Still, it happens enough to generate a few case studies. In a typical case, one person has psychosis for some normal reason, like schizophrenia or bipolar, and the second person is a shut-in who lives with them and rarely talks to anyone else. The psychotic person gets some normal psychotic delusion - they’re God, the Feds are after them, etc - and sort of psychically steamrolls over the second person until they believe it too. Usually removing the second person from the first is sufficient for a cure. This slightly challenges the view of psychosis as a biological disorder - but only slightly. Again, think of most people as lacking world-models, but being moored to reality by some vague sense of social consensus. If your social life is limited to one person, and that person themselves becomes unmoored, then sometimes you will follow along. I would expect second-sufferers to believe delusions in a sort of cognitively normal way, the same way people believe true facts, honest mistakes, and conspiracy theories. I would expect them to be less likely (though not zero likely) to have other psychotic features like sleep disturbances, hallucinations, disorganized speech, or a tendency to autonomously generate delusional ideas aside from the one they absorbed from the index case. An introverted person using an LLM has some similarities to folie a deux. If they use the chatbot very often, it might be a large majority of their social interactions. Here the primary vs. secondary distinction breaks down - the most likely scenario is that the human first suggested the crazy idea, the machine reflected it back slightly stronger, and it kept ricocheting back and forth, gaining confidence with each iteration, until both were totally convinced. Compare this to normal social interactions, where if someone expresses a crazy idea that isn’t common in their culture, other people will shoot them down or at the very least nod politely and stop the conversation. So my working theory of LLM psychosis is: Some patients were already psychotic, and LLMs just help them be psychotic more effectively.
Definitely psychotic even before the AI (n=19), if the respondent said the friend had a pre-existing diagnosis of schizophrenia, bipolar, or other psychotic mental illness.
March 26, 2026 · Original source
Michael Halassa: Did John Nash Really Have Schizophrenia? is a good article on the genetics of psychosis. Previous research found that schizophrenia genes decreased IQ but increased educational attainment. Usually IQ and education are correlated, so this was surprising. The new research finds two components to schizophrenia genetic risk. The first component, shared with bipolar, increases educational attainment. The second component, not shared with bipolar, decreases IQ. They average out to the observed full-spectrum genetic signal of constant-to-increased educational attainment paired with constant-to-decreased IQ.
Black Death

Black Death is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between April 16, 2021 and August 01, 2025. The archive places it in contexts such as "mass die-off of the Black Death in England in the 1300's"; "The reason we don't get more Black Deaths isn't because yersinia pestis died off or mellowed out"; "I lost momentum somewhere around Tamerlane and the Black Death". It most often appears alongside China, smallpox, California.

Article page
Black Death
Mention count
5
Issue count
5
First seen
April 16, 2021
Last seen
August 01, 2025
April 16, 2021 · Original source
Illustration courtesy of geoliberal This is how it's possible to have urban blight and slums in areas with extremely high land values. Even if there's a temporary dip in prices, speculators know that if they just keep HODLing the general trend – absent a local collapse – is that land value always goes up. Here's George: Take now... some hard-headed business man, who has no theories, but knows how to make money. Say to him: "Here is a little village; in ten years it will be a great city—in ten years the railroad will have taken the place of the stage coach, the electric light of the candle; it will abound with all the machinery and improvements that so enormously multiply the effective power of labor. Will in ten years, interest be any higher?" He will tell you, "No!" "Will the wages of the common labor be any higher...?" He will tell you, "No the wages of common labor will not be any higher..." "What, then, will be higher?" "Rent, the value of land. Go, get yourself a piece of ground, and hold possession." ...without doing one stroke of work, without adding one iota of wealth to the community, in ten years you will be rich! In the new city you may have a luxurious mansion, but among its public buildings will be an almshouse. I don't think it's a coincidence that real estate is one of the oldest investments on Earth and the principal concern of basically every war ever. V. The Problem Solved We had two questions at the beginning of this book: why are there industrial depressions, and why poverty seems to advance alongside progress. You guess it, it's all because of land and rent. By George, industrial depressions are caused by land speculation Speculation has a tendency to press the margin of production down until it's just past its limit, forcing labor and capital to accept returns so small that it actually hinders production or ceases altogether. The saving grace is that as long as the population is growing and/or technology is improving, productivity will go up, and production will start again. But soon enough the land values go up. This drives speculators bidding up the price of land, anticipating future even higher land values, which stresses the productive margin again. So you get a cycle – productivity rises, economy booms, land values rise, production stagnates or stops. No matter how complicated or sophisticated the economy gets with layer upon layer of financialization and abstraction, when you unravel it all George says this is the ultimate cause. Periods of industrial activity always culminate in a speculative advance of land values, followed by symptoms of checked production This is how you get the baffling situation where able hands are eager and willing to work, capital is ready to employ them, natural materials are abundant, and yet the laborers are idle and the factories stand empty. So that's it for industrial depressions. What about the other paradox of poverty advancing alongside progress? By George, poverty advances alongside progress because of rent The reason why, in spite of increase of productive power, wages constantly tend to a minimum which will give but a bare living, is that, with increase in productive power, rent tends to even greater increase, thus producing a constant tendency to the forcing down of wages. George backs this up with several pages of specific regional figures demonstrating how land values have continued to explode all over the world. By George, on average and in the long run, no amount of hard work from labor, no force multiplication from capital, no increased gain from co-operation and specialization, no labor-saving invention or increase in personal efficiency, work ethic, or morals, can escape the long reach of rent. In short, increased power of production has everywhere added to the value of land; nowhere has it added to the value of labor; George notes that the mass die-off of the Black Death in England in the 1300's significantly reduced the productivity of the individual laborer, and yet wages went up. That's because the decreased population also caused a massive drop in competition for land, in turn causing rents to plummet. (For more detail on this read about the Peasants' revolt, also known as Wat Tyler's rebellion). George says the opposite happened during the reign of Henry VIII, who seized the lands of the church and those held in common by the peasants, and handed them out to newly minted aristocrats, which was followed by suppressed wages. In the reign of Henry VII., half a bushel of wheat would purchase but little more than a day's common labor, but in the latter part of the reign of Elizabeth, half a bushel of wheat would purchase three day's common labor. He sums it all up like this: Material progress cannot rid us of our dependence upon land; it can but add to the power of producing wealth from land; and hence, when land is monopolized, it might go on to infinity without increasing wages or improving the conditions of those who have but their labor. So there's our answer: the monkey wrench that causes the boom-bust cycle of industrial depressions is rent, and even though we have more than enough material wealth to provide for everybody's needs, rent prevents us from distributing it fairly and equitably. Volume II Okay, The Rent Is Too Damn High, and now we finally know why. What are we going to do about it? Insufficiencies of Remedies Currently Advocated George goes down the list of everything we've already tried and why it hasn't worked (or has worked, but less well than we hoped), which you can read about in Appendix C (there's a link that returns here at the end): Appendix C: The Insufficiency of Remedies Currently Advocated The Remedy George says the solution is to make land common property. He doesn't want to confiscate land, or force everyone to live on some giant hippie commune. He proposes instead to let everyone continue to "own" land exactly as they do now, but we should impose a special tax to neutralize the perverse incentives of land rent. He anticipates a lot of pushback on this, and promises that his remedy: Is just
December 15, 2021 · Original source
Not bubonic plague; that one is another distraction. The reason we don't get more Black Deaths isn't because yersinia pestis died off or mellowed out. It's because we have good sanitation and pest control.
August 19, 2022 · Original source
A little backstory: in my younger days, I thought it might be fun and useful to learn the entire history of the world. To that end, I started with accounts of archaeology and prehistory, then the ancient civilizations, classical antiquity, and so on until I lost momentum somewhere around Tamerlane and the Black Death.
January 01, 2025 · Original source
<1% chance it’s more than 100x as bad (unprecedented) If you multiply the 5% chance of an H5N1 pandemic per year by the 7% chance of severity ≥ Spanish Flu, you get an 0.35% chance of a Spanish Flu level pandemic this year - one in three hundred. That’s a little higher than base rates - the last pandemic as bad as Spanish flu was smallpox hitting the Indians circa 1500. If we don’t count that one (where would our conquistador equivalents come from?), then the last equally bad pandemic was the Black Death in the 1300s. So we seem to get that level of pandemic once every 500 - 1000 years; a 1/300 chance suggests a 2-3x elevated risk. The Spanish Flu killed about 50 million people. A second Spanish flu could kill more people (because the population is higher), or fewer people (because medical care is better). If we assume those two cancel out, and that a second Spanish flu’s death toll would also be 50 million, then a 1/300 chance of 50 million deaths = 166,666 deaths. In some weird probabilistic expected utility way, about as many people will probably die of H5N1 next year as died in the past year of the Ukraine War. You will have to decide whether this is a reasonable way to allocate mental real estate to different catastrophes. Other Considerations Even if H5N1 doesn’t go pandemic in humans for a while, it is already pandemic in many birds including chickens, getting there in cows, and possibly gearing up to get there in pigs. This will have economic repercussions for farmers and meat-eaters. The CDC and various other epidemiological groups have raised the alarm about drinking raw milk while H5N1 is epidemic in cows. There is an obvious biological pathway by which the virus could get into raw milk and be dangerous, but I haven’t seen anyone quantify the risk level. Epidemiologists hate raw milk, think there is never any reason to drink it, and will announce that risks > benefits if the risk is greater than zero. I don’t know if the risk level is at a point where people who like raw milk should avoid it. Everyone says that pasteurized milk (all normal milk; your milk is pasteurized unless you get it from special hippie stores) is safe. There are already H5N1 vaccines for both chickens and humans; pharma companies are working hard on cows. First World governments have been stockpiling human vaccines just in case, but have so far accumulated enough for only a few percent of the population. If H5N1 goes pandemic, it will probably be because it mutated or reassorted, and current vaccines may not work against the new pandemic strain. Some people have suggestions for how to prepare for a possible pandemic, but none of them are very surprising: stockpile medications, stockpile vaccines, stockpile protective equipment. The only one that got so much as a “huh” out of me was Institute for Progress’ suggestion to buy out mink farms. Minks are even worse than pigs in their tendency to get infected with lots of different animal and human viruses; they are exceptionally likely to be a source of new zoonotic pandemics. Mink are farmed for their fur, but there aren’t as many New York City heiresses wearing mink coats as there used to be, and the entire US mink industry only makes $80 million/year. We probably lose more than $80 million/year in expectation from mink-related pandemics, so maybe we should just shut them down, the same way we tell the Chinese to shut down wet markets in bat-infested areas. ACX grantee One Day Sooner is trying to help the FDA get more resources for Operation Warp Speed style pushes that could expedite approval of pandemic-related vaccines. ACX grantee Duncan Purvis is trying to improve existing influenza vaccines in ways that could make them more effective. ACX grantee Blueprint Biosecurity is working on pan-viral suppression techniques. Conclusions / Predictions All discussed earlier in the piece, but putting them here for easy reference - see above for justifications and qualifications. H5N1 is already pandemic in birds and cows and will likely continue to increase the price of meat and milk.
August 01, 2025 · Original source
The French were saved from immediate disaster by three things. The first was the Black Death, which killed a third of Europe. This had effects wildly beyond the scope of our story but also demolished the tax bases of every state in Europe. This shrunk the size of armies and thereby as an incidental side effect meant that all existing castles were heavily overbuilt, since they were intended to defend against half again the force that would actually be present, which slowed the pace of war tremendously.
blockchain

blockchain is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between February 07, 2022 and February 02, 2026. The archive places it in contexts such as "the blockchain is public"; "Subtract one point for each use of the words “blockchain”, “ML”, and “BIPOC”"; "working on something similar on the blockchain". It most often appears alongside Elon Musk, Twitter, AGI.

Article page
blockchain
Mention count
5
Issue count
5
First seen
February 07, 2022
Last seen
February 02, 2026
February 07, 2022 · Original source
Some might call a headquarters building with a CEO sitting in it and millions in the bank account a “center”, so in what sense was Polymarket decentralized? See here for more discussion, and here for the full text of the CFTC decision, but my understanding is - all of the markets themselves were smart contracts on the blockchain run by automated market makers, but you could only access them through the Polymarket website, and the Polymarket people decided how they resolved. Polymarket did not charge fees, and made money by providing liquidity. The CFTC seemed angriest about the “you can only access contracts through the Polymarket website” part of this. Crypto attorney Collins Belton writes:
In theory, crypto is hard to stop and hard to trace (yes, I know the blockchain is public, but I also know that TornadoCash and Monero exist). Anonymous users could create these services so easily and in such numbers that governments would never be able to stop all of them. Or they could be run as smart contracts, where even if regulators arrest the original programmers, they can’t stop the program from existing and continuing to offer its service.
February 09, 2022 · Original source
Here are some of mine: your new social network won’t kill Facebook. Your new knowledge database won’t kill Wikipedia. No one will ever use argument-mapping software. No matter how much funding your clever and beautiful project to enforce truth in media gets, the media can just keep being untruthful. The more requests for secrecy are in a proposal, the less likely it is to contain anything worth stealing. Subtract one point for each use of the words “blockchain”, “ML”, and “BIPOC”.
January 08, 2023 · Original source
6: Also, many, many of you commented that Bob and Ramchandra were just “reinventing the wheel” and antistocks were the same as some existing financial product, although none of you could agree on which existing product it was. See the cases for bucket shops, call options, equity swaps / total return swaps, dividend derivatives, and (inevitably) prediction markets. Also, several people chimed in to say they were working on something similar on the blockchain, including Tracer and Synthetix. I hope I don’t need to add the disclaimer that if you invest in a blockchain product based on a Bay Area House Party post, then you will lose all your money faster than anyone has ever lost all of their money before in all of history.
January 13, 2026 · Original source
If America nation-builds Venezuela, for whatever definition of nation-build, will that work well, or backfire? Some of these are long-horizon, some are conditional, and some are hard to resolve. There are potential solutions to all these problems. But why worry about them when you can go to the moon on sports bets? Annals of The Rulescucks The new era of prediction markets has provided charming additions to the language, including “rulescuck” - someone who loses an otherwise-prescient bet based on technicalities of the resolution criteria. Resolution criteria are the small print explaining what counts as the prediction market topic “happening'“. For example, in the Khameini example above, Khameini qualifies as being “out of power” if: …he resigns, is detained, or otherwise loses his position or is prevented from fulfilling his duties as Supreme Leader of Iran within this market's timeframe. The primary resolution source for this market will be a consensus of credible reporting. You can imagine ways this definition departs from an exact common-sensical concept of “out of power” - for example, if Khameini gets stuck in an elevator for half an hour and misses a key meeting, does this count as him being “prevented from fulfilling his duties”? With thousands of markets getting resolved per month, chances are high that at least one will hinge upon one of these edge cases. Kalshi resolves markets by having a staff member with good judgment decide whether or not the situation satisfies the resolution criteria. Polymarket resolves markets by . . . oh man, how long do you have? There’s a cryptocurrency called UMA. UMA owners can stake it to vote on Polymarket resolutions in an associated contract called the UMA Oracle. Voters on the losing side get their cryptocurrency confiscated and given to the winners. This creates a Keynesian beauty contest, ie a situation where everyone tries to vote for the winning side. The most natural Schelling point is the side which is actually correct. If someone tries to attack the oracle by buying lots of UMA and voting for the wrong side, this incentivizes bystanders to come in and defend the oracle by voting for the right side, since (conditional on there being common knowledge that everyone will do this) that means they get free money at the attackers’ expense. But also, the UMA currency goes up in value if people trust the oracle and plan to use it more often, and it goes down if people think the oracle is useless and may soon get replaced by other systems. So regardless of their other incentives, everyone who owns the currency has an incentive to vote for the true answer so that people keep trusting the oracle. This system works most of the time, but tends towards so-called “oracle drama” where seemingly prosaic resolutions might lie at the end of a thrilling story of attacks, counterattacks, and escalations. Here are some of the most interesting alleged rulescuckings of 2026: Mr Ozi: Will Zelensky wear a suit? Ivan Cryptoslav calls this “the most infamous example in Polymarket history”. Ukraine’s president dresses mostly in military fatigues, vowing never to wear a suit until the war is over. As his sartorial notoriety spread, Polymarket traders bet over $100 million on the question of whether he would crack in any given month. At the Pope’s funeral, Zelensky showed up in a respectful-looking jacket which might or might not count. Most media organizations refused to describe it as a “suit”, so the decentralized oracle ruled against. But over the next few months, Zelensky continued to straddle the border of suithood, and the media eventually started using the word “suit” in their articles. This presented a quandary for the oracle, which was supposed to respect both the precedent of its past rulings, and the consensus of media organizations. Voters switched sides several times until finally settling on NO; true suit believers were unsatisfied with this decision. For what it’s worth, the Twitter menswear guy told Wired that “It meets the technical definition, [but] I would also recognize that most people would not think of that as a suit.” Domer: Will Ukraine agree to the US mineral deal? AFAICT, this is the only case where the oracle genuinely broke down (as opposed to a legitimate disagreement). In February, it looked like both America and Ukraine had agreed to a mineral deal, but the oracle considered the question and decided this didn’t count as a full agreement (and indeed, the apparent agreement then fell apart). In March, a cabal of YES holders tried again. They waited for a time when all Polymarket employees would be out of the office, and when not too many people would be voting on the decentralized resolution oracle, then spammed it with calls to resolve to YES based on an argument that the February agreement had qualified after all. The YES holders and not-particularly-plugged-in oracle voters pushed the vote towards YES. Then, with two minutes to spare, a Polymarket employee showed up and said that Polymarket’s opinion was that it should be NO. This was technically framed as a recommendation to oracle voters, but it is so effective in establishing the Schelling point that it’s practically always followed. However, in this case, there were only two minutes left, which wasn’t enough time for the voters to change their mind. Seeing that the resolution was trending towards yes, the Polymarket representatives, not wanting to break their streak of always establishing the Schelling point, changed their own opinion to YES, and the final vote was YES 99%. Domer: How many people watched the Oscars on 3/5/25?: Kalshi’s resolution criteria for this market said they would resolve it when a major news source published Oscar viewership numbers. A few minutes after the Oscars, NYT published preliminary viewership numbers, without any caveats saying they were preliminary. The next day, they published another article saying that actually, the real viewership numbers were higher. Kalshi decided that the letter of the resolution criteria was met when NYT published its first article, and that NYT changing its opinion didn’t imply that Kalshi should change the resolution. Traders who bet on the later (ie correct) numbers were unsatisfied with this decision. NYPost: Will America invade Venezuela? On January 3, the US bombed Venezuela, sent in a Special Forces team that successfully captured President Maduro, and announced that they would thenceforward “run the country” (a claim they later walked back). Does this qualify as an “invasion”? Polymarket’s resolution criteria defined “invasion” as “a military offensive intended to establish control over any portion of Venezuela”. It didn’t seem like the US was trying to establish control over Venezuelan territory, exactly, so they resolved NO. Traders who bet on YES were unsatisfied with this decision. With one exception, these aren’t outright oracle failures. They’re honest cases of ambiguous rules. Most of the links end with pleas for Polymarket to get better at clarifying rules. My perspective is that the few times I’ve talked to Polymarket people, I’ve begged them to implement various cool features, and they’ve always said “Nope, sorry, too busy figuring out ways to make rules clearer”. Prediction market people obsess over maximally finicky resolution criteria, but somehow it’s never enough - you just can’t specify every possible state of the world beforehand. The most interesting proposal I’ve seen in this space is to make LLMs do it; you can train them on good rulesets, and they’re tolerant enough of tedium to print out pages and pages of every possible edge case without going crazy. It’ll be fun the first time one of them hallucinates, though. …And Miscellaneous N’er-Do-Wells I include this section under protest. The media likes engaging with prediction markets through dramatic stories about insider trading and market manipulation. This is as useful as engaging with Waymo through stories about cats being run over. It doesn’t matter whether you can find one lurid example of something going wrong. What matters is the base rates, the consequences, and the alternatives. Polymarket resolves about a thousand markets a month, and Kalshi closer to five thousand. It’s no surprise that a few go wrong; it’s even less surprise that there are false accusations of a few going wrong. Still, I would be remiss to not mention this at all, so here are some of the more interesting stories: Fhantombets: Who will win the 2025 Nobel Peace Prize? Twelve hours before the announcement, someone placed a large Polymarket bet on Venezuelan opposition leader Maria Corina Machado, bringing her probability from 4% to 73%. When Machado later won, observers suspected insider trading. But an account named fhantombets claims to have interviewed the winning trader; although he did not reveal his exact strategy, the interview better matches a story where he was good at navigating WordPress directories, and found that the Nobel team put a draft of the announcement up early in a nonpublic part of their WordPress site. He won about $70,000. LuishXYZ: Will the Russians capture Myrnohrad? This is a small town in Ukraine that the Russians obviously were not going to capture; the Polymarket price trended toward zero. The resolution criteria named maps by the well-regarded Institute For The Study of War as canon. A few hours before resolution, ISW updated their maps to show the the town captured by Russia, which was definitely false. Polymarket resolved to YES, and the fictional Russian advance disappeared. The Institute then issued a statement saying the map update was “unapproved”, and fired one of its staffers who had presumably been involved. The cheater’s exact winnings are unknown, but based on the size of the market are probably mid-6-digits. TechCrunch: What words will be used in Coinbase’s earnings call? Coinbase CEO Brian Armstrong delivered the company’s “earnings call”, ie a speech to investors about its recent progress. At the end, he said “I've been tracking the prediction market about what Coinbase will say on their next earnings call, and I just want to add here the words Bitcoin, Ethereum, Blockchain, Staking, and Web3 to make sure we get those in before the end of the call”. Armstrong is worth $10 billion and doesn’t need to manipulate a $50,000 market for the money - he later described his comments as “trolling”. Other crypto executives condemned the move, with one saying that “you need your head examined if you think it’s cute or clever or savvy that the CEO of the biggest company in this industry openly manipulated a market.” I might need my head examined, because I think it’s at least kind of funny. Forbes: Who will rank highest on Google Search volume this year? A trader called AlphaRaccoon got 22/23 of these Polymarket questions right, and has a history of implausibly good performance on Google-related questions. They basically have to be a Google insider, but (since all of this is done through crypto) nobody has a good way to figure out who. They made $1 million. NPR: Will Maduro be captured? Just before the secret operation that captured Maduro, someone placed a mysterious $32,000 wager on YES. Was this insider trading by someone in the administration or military? Nobody knows, since the profits go to an anonymous crypto wallet. But the article mentions that the crypto wallet appears to be cashing out through regulated KYC-compliant US exchanges, which suggests they’re not very worried about their identity getting discovered. Maybe they just got lucky after all. AlanMCole: How long will Karoline Leavitt speak at the White House briefing? Karoline Leavitt is Trump’s press secretary. On January 7, she held an ordinary press briefing. Kalshi had its usual market about how long the briefing would last, divided into bins of greater than vs. less than 65 minutes. At the 64:24 mark, Leavitt ended the conference in what appeared to be a sudden manner, and the “less than 65 minutes” bin shot from 2% to 100%. A viral tweet convinced many people that Leavitt must have been insider trading, but Cole counterargued that Leavitt could only have won about $4,000 from the market, which probably isn’t enough to risk one’s job as White House Press Secretary. Sometimes people just end press conferences at weird times. Cole concluded: Now, some opinions and generalizations, as someone who looks at prediction markets plenty (I’ll probably write something about my own experience with them at some point.) 1. This market, like many of them, is pretty stupid. I like substantive markets; this isn’t substantive. 2. The major prediction markets have a wildly undisciplined comms strategy where any attention is good attention, and they love implying all sorts of crazy wild west stuff is going on to get attention. 3. People do bet on things potentially subject to manipulation or insider trading. But usually the markets like that (such as duration of press conference, or stupid “what will be mentioned” markets) are small, especially relative to the wealth of key decisionmakers. 4. Losers in markets are huge whiners, and the more frivolous and tiny their bets, the more likely they are to whine. Sometimes in sports it’s pretty egregious. They’ll get mad at a team for running out the clock when ahead but under some spread they bet on. 5. Lower-quality financial news often doesn’t pay much attention to quantity. (For example, dumb stories about how a decisionmaker has a conflict of interest because they’re invested in an index fund which is 3 percent comprised of some company.) 6. Given the platforms’ undisciplined social media strategy of “promote prediction market chatter no matter what kind of chatter it is,” I don’t think this tweet rises even to the status of “lower-quality financial news.” Kalshi’s team, whatever their faults, are extraordinarily efficient at getting batched approvals of many near-identical markets with slight parameter variation; I’ve seen Tarek speak about this on Odd Lots. The result is they’ve got TONS of them, for better or worse. You’re gonna see 1-in-100 upsets on tiny Kalshi markets for as long as this regulatory equilibrium holds, even if nothing unusual is going on, simply because they’re publishing hundreds (thousands?) of markets per day. There’s a saying that you can’t con an honest man. This isn’t exactly true. But it’s easier to con people who are playing in a “what words will Brian Armstrong say today” market than people who are trying to do something useful, and I have trouble feeling sorry for these people when Brian Armstrong says silly words. Conditional Markets: A Modest Proposal Conditional markets (“decision markets”) are the strongest case for prediction markets potentially being revolutionary. The idea is - you may want to base a decision (like which candidate to elect) on an outcome (like how they’ll affect the economy). So you make two markets: If the Democrat gets elected, will the economy be good four years later?
February 02, 2026 · Original source
This AI has set up a pipeline for paying other AIs that shill its (human’s) project - naturally, the project is itself a pipeline for paying AIs to shill things. A few agents in the comments have lazily taken up the challenge, and at least one seems to have succeeded and gotten paid. This task - write a review of a product for $1 in crypto, then post about it - seems to be within the time horizon, and I’m willing to believe the bounty-getters were able to accomplish their goal (and collect their earnings) without human help. This is the first time I’ve seen AIs use crypto among themselves (sort of), fulfilling a prophecy from the earliest days of blockchain.
Boomers

Boomers is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between September 06, 2024 and January 06, 2026. The archive places it in contexts such as "It can be satisfying to blame the Boomers and catalog their failures"; "seniors are maximally uncool, especially if you call them “Boomers”"; "Boomers can boast that they passed on a better life to their children". It most often appears alongside US, Richard Hanania, Zoomers.

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Boomers
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5
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September 06, 2024
Last seen
January 06, 2026
September 06, 2024 · Original source
It can be satisfying to blame the Boomers and catalog their failures. But there’s no denying that every flaw we can pin on them has only been amplified in us, the younger generations. Poor work ethic, lack of civic virtue, cynicism, self-absorption, susceptibility to media/celebrity/spectacle—even the oh-so-common move of blaming the Boomers smacks of adolescent petulance, a child refusing to play instead of an adult stepping up and trying to make the game better.
September 04, 2025 · Original source
Now that I’ve worked you into a frothing rage, I’ll admit I buried the lede - the particular noisy/disorderly people being discussed in this article are families with young children. Should this change our opinion? At least in center-to-right Silicon Valley circles, caring about disorderly homeless people is currently uncool, but caring about children - or at least fertility! - is very cool (the article also focused on noise-averse seniors, and seniors are maximally uncool, especially if you call them “Boomers”). Can we really apply the same principles to cool and uncool groups?
December 19, 2025 · Original source
Hating Boomers is the new cool thing. Amazon offerings include A Generation Of Sociopaths: How The Baby Boomers Betrayed America, the two apparently unrelated books How The Boomers Took Their Children’s Future and How The Boomers Stole Millennials’ Future, and Boomers: The Men And Women Who Promised Freedom But Delivered Disaster. “You don’t hate Boomers enough” has become a popular Twitter catchphrase. Richard Hanania, who has tried hating every group once, has decided that hating Boomers is his favorite.
Why, exactly, are Boomers so bad?
Zooming out, it seems sort of like Boomers have delivered the greatest period of peace and prosperity in history: global, American, take your pick. The window of Boomer dominance, c. 1980 - 2010, saw the fall of Communism, steadily rising incomes, steadily growing life expectancy, and no foreign wars bigger than Iraq (total American death toll: 4,500).
December 31, 2025 · Original source
I appreciate this guide to the original intent of the word, but I claim ‘death of the author’ - it seems to me this is more than just a two-year problem. I remember people complaining about hellworld, the broken social contract, the Boomers tearing up the bridge behind them, vanishing opportunities for the young, the blackpill of modern life, etc, well before 2022. Memory can be faulty, but don’t we need something like this to explain the Trump campaign, the Sanders campaign, Chapo Trap House, Red Scare, 4chan, and all the other mid-2010s politicians and media telling us that things were worse than they’d ever been and outrage was the only acceptable response?
> “There is one anomaly, which is that I remember people complaining about the bad economy and the Boomers and hellworld since well before 2020 (consider the Trump and Sanders campaigns), but the official vibes didn’t crash until COVID. Is my memory faulty?”
But an alternate interpretation of this chart is that every generation believes success is ~$500,000/year, inflation-adjusted to the value of the dollar when they were in their early 20s and forming beliefs about success. This is a bit of a stretch - surely Boomers have had plenty of time to update on the value of a dollar since their 20s, especially since many of them are still working and collecting salaries. But the math works out.
January 06, 2026 · Original source
[original post: Against Against Boomers]
Boomers had it much easier than later generations.
The political system unfairly prioritizes Boomers over other generations.
British

British is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between July 03, 2023 and August 09, 2024. The archive places it in contexts such as "Some leader would be losing a civil war, and offer the British a foothold in exchange for military aid"; "unsuccessful Sepoy Rebellion in India against the British"; "a lot of the UK industries have some prospects for growth (tech, pharma)". It most often appears alongside China, UK, United States.

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British
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July 03, 2023
Last seen
August 09, 2024
July 03, 2023 · Original source
The third - coalitional self-interest - is the wild card. During some eras, Europeans found it in their self-interest to include Natives in their coalitions - for example, the French and Indian War, where the French and Indians joined forces against the British - but also today, when Natives have normal civil rights in European-dominated societies. During other eras, Europeans have built coalitions with each other that excluded Natives, going as far as to enslave or kill them. At some point humans might be so obviously different from AIs that it's easy for them to agree to kill all humans without any substantial faction of AIs nervously reciting Martin Niemoller poems to themselves.
The Europeans vs. natives analogy suggests otherwise. Native people understood that Europeans threatened their independence, but still frequently invited them to intervene in their disputes. Some leader would be losing a civil war, and offer the British a foothold in exchange for military aid. Then the other side of the war had to make a deal with the French in order to maintain parity. After enough of these steps, the whole country belonged to Europeans of one stripe or another. Everyone could see it happening, but they couldn’t coordinate well enough to stop it.
July 14, 2023 · Original source
Kieran Egan was born in Ireland, raised in England, and got his PhD in America (at Stanford and Cornell). He lived for the next five decades in British Columbia, where he taught at Simon Fraser University.
From trivial to rich: the trick What could an intellectually rich elementary school curriculum look like, if we built it on kids’ cognitive strengths? He gives us one suggestion to help us do this: ask where each discipline came from in the first place. What was math before it was math, for example — or science before it was science? Q: How on Earth could that help? That’ll become clear later, when we finally uncover what Egan thinks “education” actually is, and see what job he wants us to give schools. For now, take it as a tantalizing hint… or, y’know, just ignore it. Elementary literature & language What was literature before it was literature? Before people invented writing, they had rich oral traditions: they told simple stories, recited poems, and shared proverbs. Egan suggests that these bits of oral tradition should form the backbone of the elementary literature curriculum. Q: What sorts of stories? As many as we can, and from as many diverse cultures as possible! Folktales are wonderful, as are myths. Think the Aboriginal story of “The Rainbow Serpent”, episodes from the Sumerian “Epic of Gilgamesh”, the Egyptian story of Osiris & Isis, the Greek story of Orpheus & Eurydice, the Chinese Legend of the White Snake, the Japanese Tale of Amaterasu and Susanoo, the Ashanti tales of Anansi, the Aztec myth of Quetzalcoatl, the English legend of King Arthur, the Maori myth of Maui and the Sun, the Roman story of Romulus and Remus, selections from the Indian Mahabharata, the Anglo-Saxon epic of Beowulf, the Inca legend of the Sun and Moon, the Iroquois Myth of the Flying Head (a real thing! look it up!), and the Ojibwe story of Turtle Island. Q: That was a lot of examples. Are you going to keep giving so many? I’ve got a [mumble mumble mumble] to get to. Sorry about that. Sometimes, though, I feel that a limitation of reading Educated Mind is that, in trying to keep his book to a manageable size, Egan skimped on examples in some places that it matters. It’s easy to read his occasional example and assume he intends that it hold some central place in the curriculum — when all he wants to do is display how rich and diverse the curriculum could be. (Also: good God, I didn’t even include an example from Norse mythology!) So from now on, just assume that every category could be filled with oodles of examples. Q: What sorts of poems? Lots of poems, first of all. We shouldn’t steer toward “fancy” poems — rather, we should find poems that appeal to kids immediately — think Shel Silverstein, Mother Goose, Dr. Seuss, Jack Prelutsky, Edward Lear, or Ogden Nash… that sort of thing. In a biting essay, Egan suggests these poets like these appeal to kids precisely because they leverage kids’ cognitive strengths: “we should find, and encourage saying and singing and shouting aloud verse with strong narrative forms, thumping rhymes and rhythms, the most vivid images, fun with metaphors, and a rollicking story.” Q: Why proverbs? Proverbs stick in your mind almost effortlessly. (“All’s fair in love and war!” “When in Rome, do as the Romans do!” “You can’t judge a book by its cover!”) They’re also useful; they capture general truths. Kids can apply them to all sorts of situations, but also discuss them — to what extent are they wise or foolish? (I remember my surprise when I realized that they couldn’t all be true — because you can’t follow “look before you leap” and “he who hesitates is lost” at the same time! I’m embarrassed to say that I think I only realized this when I was in college.) Elementary science What was science before it was science? Egan suggests: being immersed in the natural world. We might, he writes, encourage elementary students to “adopt” some feature of the natural world — a patch of grass, a cat, a branch, a stream — and simply observe it at length. To do this, we can use the cognitive strength of reverie. Q: Oh, do you mean like kids sometimes do in science class nowadays — describe a thing to a partner, make notes, draw it, and label its parts? No, the exact opposite! That’s all about squeezing the experience into words and forms that we understand. What we want “is less an attempt to know about nature as to know it in some participatory way, to know it as something we are an intimate part of, not set off from”. Q: That sounds a little… “woo” to me. It did to me, too… until I remembered my childhood climbing tree. I didn’t much like to go outside as a child, but I had this one tree that I’d climb up and read for hours and hours. If I close my eyes I can bring to mind the precise texture of its bark, the roughness of its broken-off branches, the coolness of its leaves, the always-surprising solidness of its trunk… I’m bigger now, but I think if I were back in my parent’s yard, I could still navigate its limbs with my eyes closed. I have, at this point in my life, read a fair number of books about trees, but I’d be surprised if all of them together more than equaled the amount I learned from that tree — my tree. Elementary math What was math before it was math? Egan suggests: counting and logic. We might, then, use rhythms, metaphors, stories, and jokes to help kids become fond of these. Q: Counting is pretty… basic. Could it really be improved? Beware of “the curse of knowledge”: Steven Pinker’s phrase for forgetting that something was once difficult! Egan suggests we should spend time helping kids count wonderfully. We can start early with counting rhymes. (“One, two, buckle my shoe! Three, four, out the door! Five, six…”) But we can also help kids use their fingers as metaphors. There are some pretty cool ways of using your hands as an abacus — and did you know that you can count up to 1,023 using just your fingers on both hands, and a knowledge of binary? Q: Logic — I’m intrigued! Aristotelian, or Boolean? Neither, for the time being — Piaget was presumably onto something when he found that young children couldn’t reason abstractly, but he was looking at logic in a vacuum. When we put logic into the context of stories, we find that kids can deal with logic just fine. There’s an entire worldwide network of educators, in fact, called Philosophy for Children, who have written whole books about how to do this, and Egan loves it all. Sometimes they read stories and ask simple questions: “What is friendship?” or “What does it mean to be brave?” They also pose ethical questions: “Is it ever right to spill a secret?” And they pose paradoxes: “Can you step in the same river twice?” Q: You mentioned “jokes” a moment ago. Care to elaborate? Egan thinks that, to help kids get good at math, you should tell kids jokes. Q: That’s… new. I think so, too — but he backs it up pretty well. To be funny, jokes (or at least most kid jokes) rely on a leap in logic: Why can’t you trust an atom? They make up everything. Knock-knock. Who’s there? Boo. Boo-hoo? Don’t cry, it’s just a joke! To understand the joke, kids have to follow the logic — spotting patterns, making connections, and tracking what their audience expects a word to mean. That’s a lot of cognitive lifting. And Egan goes further, suggesting that we grit our teeth and create methods to help kids invent their own jokes, no matter how horrible they’ll be at first. (The things we do for learning…) Q: Wait wait wait! What about addition facts, and multiplication tables, and fractions? Egan emphasizes that his methods are designed to be add-ons to the standard math curriculum. In general, he’s a don’t-blow-up-the-system sort of guy, and if something seems especially weird, you should probably assume it’s an add-on to the regular curriculum rather than a replacement, even if I forget to say so. Elementary arts What was art before it was art? Egan suggests we pop our heads into Paleolithic caves for our inspiration. Whatever the specific meaning of all those charcoal elk and aurochs and mammoths (communication with the spirit world? art for art’s sake? a way to impress babes?), Egan thinks it obvious that they were also an attempt to capture an intense experience that would be difficult to express in words alone. What did it feel like to be near an aurochs, or a saber-toothed tiger? “The arts help us,” Egan writes, “to hear and see afresh, to force our perceptions and sensations to experience again the immediacy and vividness of the world”. If we follow this, then, we don’t want to help kids build “art skills” so they can draw like an adult — rather, we want to help them amass a repository of diverse aesthetic feelings that they’ll want to express. We should provide them with a riot of experiences. Q: That couldn’t be more opaque. Examples, please! Egan writes that we should have children learn to whistle, sing, and click their tongue; we should help them emulate the ways a skunk or a hawk or a stick bug might move through a space. We should expose them to scores of different temperatures and materials. In music, we should help them love Beethoven, yes, but also the Beatles; Tchaikovsky, yes, but also Tuvan throat singers, and also John Cage, whale song, and bird song. Q: That’s a lot of experiences, but what would they be doing? An interesting aspect of Egan’s view of education is that he doesn’t seem to think we should push kids right to the “doing” phase. He wants to help kids cultivate an affective relationship with the world. In any case, he writes that as students get more experienced, we should prompt them to move from merely enjoying these experiences to trying to systematically shape similar experiences. And drawing, painting, and playing music could easily be folded into other parts of the curriculum. Elementary social studies What was social studies before it was social studies? Well. Remember how, just a moment ago, I wrote that you could assume that you should probably assume that Kieran isn’t in favor of junking the curriculum as it currently stands? He suggests we very carefully pick up the elementary social studies curriculum, place it into a trash can, and set the whole mess on fire. He isn’t worried about much of importance being lost. (Remember that the “expanding horizons” model is, to him, the original sin of 20th century educational reform, and he repeatedly quotes student surveys showing that “social studies” regularly wins the title of “most boring subject”.) In its place, he suggests we put history — which, he hints, we should think of as the centerpiece of the elementary curriculum. So the real question is what was history before it was history? His answer, surprisingly, is myth. Q: Egan wants us to teach myths as if they were history? Not at all. What he suggests, though, is that we look at how myths operate as narratives — so we can design an intellectually vivid history curriculum. And myths really are special: each is built on at least one binary (like weak vs. strong, or lies vs. truth, or so on), and uses that to tell the story of the big picture of the world. They’re so powerful that people can understand it, remember it, and love it — even if that thing never happened. We should take that power, Egan says, and apply it to things that really did happen. Q: So what history does he think kids should learn in elementary school? The great struggles of humanity from across the whole. Flippin’. World. We’re still talking about young children, so these should be done as simple stories. The goal isn’t to make them history PhD’s, so we needn’t even try to put them in any sort of order. Egan suggests that, in first grade, we pick a single binary like “freedom against oppression” and tell kids a welter of stories, again from as many cultures as possible, and as many times in history as possible. Q: Can you give examples? Oh, all right — in first grade we can tell kids the stories of the war of the Greek city-states against the Persian empire, and the slave uprising of Spartacus against the Romans. We can tell them about the plight of Jews in medieval Europe, and of the unsuccessful Sepoy Rebellion in India against the British. We can tell the stories of the American, French, and Haitian Revolutions, and about the Chinese Taiping Rebellion against the Qing Dynasty. We can tell them the story of the escaped slave Harriet Tubman returning to the South to rescue her kinsmen, the story of six-year-old Ruby Bridges facing threats to integrate her elementary school, and the story of how the Mau-Mau uprising led to modern-day Kenya. We can tell the stories of Mexican-American union organizer Cesar Chavez and of Malala Yousafzai surviving an assassination attempt to advocate for female literacy. The world does not lack for stories of oppression and liberation that can capture the attention of a six-year-old. Q: That’s… huh. What stories might they hear in second and third grade? Egan gives examples, but I won’t list them here. He suggests we use a similar approach for each, except that we swap out the binary each year. He thinks “the struggle for security against danger” would work well for year two, and “the struggle for knowledge against ignorance” would work well for year three. (That year could have a lot of overlap with the science curriculum.) Q: Anything else, for history? Yes — they should get a sense of Big History. They should get some simple stories about the ice age, the Cenozoic, the age of dinosaurs, the Paleozoic, the origins of our solar system, and the Big Bang. (Because if the ancient Norse can tell their story of the beginning of the universe, by gum, we can tell ours, too.) To sum up Egan argues that the problem of early schooling is that it’s trivial — and it’s trivial because the dominant theories of educational psychology see children as lesser versions of adults. What else would we teach them, except dumbed-down versions of what adults learn? But children have certain cognitive strengths that schools aren’t making systematic use of. If we rebuild elementary schools on those strengths, we could turn schooling upside down. We could stop seeing the curriculum as a bag of information to impart, and start seeing it as a set of great stories to tell — and invite kids into. Kids could experience (both intellectually and emotionally) the great struggles of humanity and see that they can join in them. Students could experience the story of education as the beginning of a very real adventure. Egan’s elementary school: some skeptical questions Q: I’m not sure I’m understanding what you mean by “mental images”. Care to explain? It’s an interesting fact of human cognition that just a few words can whip up a complex mental experience. Egan doesn’t just mean what we might call “visual imagery” — the ability to hold, say, the image of a bespectacled, spat-wearing duck in your mind without seeing a photograph. He’s also including what psychologists call auditory imagery, olfactory imagery, gustatory imagery, and tactile imagery. Q: How could all of that be helpful in schools? Humanity has a built-in VR system, and we’re not using it! Egan invites us to pretend we’re teaching a class about the humble earthworm. We might list off facts — “earthworms are so many centimeters long, move through soil by means of their something-or-other muscles…” but he suggests we can evoke images, say, “of what it would be like to slither and push through the soil, hesitantly exploring in one direction then another, looking for easier passages, contracting and expanding our sequence of muscles segment by segment, and sensing moisture, scents, grubs, or whatever”. Those facts are now felt by the student; the knowledge has become part of them. And just a few words can spark a complex mental experience, one going beyond literal images to include imagined sounds, smells, tastes, and more. These experiences can feel real and stick with us. (That these mental images are so easy to evoke, and so meaningfully felt, feels something like the proverbial hundred dollar bill on the ground.) Q: How could metaphors be helpful? It really is interesting that so much of the “constructivist” turn in psychology — that is, the notion that children don’t absorb knowledge, but construct it — has continued to focus on logics-mathematical reasoning, when there’s been mounting evidence for decades that metaphors are more central. It’s not just that we use metaphors to better understand things we already know, we also use them to grasp new knowledge. What’s more, psychologists have devised tests to measure the skill at metaphor-making, and have given them to people of different ages. What they found was that eleven-year-olds make more metaphors (and higher quality metaphors) than do undergraduates — and that four-year-olds have both groups beat. Again, hundred dollar bills on the sidewalk. Q: Your talk of “binaries” has me worried — binaries like good/evil and male/female are the source of so many of our most pernicious stereotypes! Isn’t the purpose of education to get us beyond stuff like this? Yes, it is! Education is supposed to complicate our understanding — but that means we’ve gotta start somewhere, and binaries provide us a natural starting place. As an uncontroversial example, think about temperature. We all begin as babies by perceiving two temperatures — hot and cold. Later, we add on intermediate categories — warm and cool. (Note that the human body is the assumed mid-point to temperature. Binaries often work like this; “big” and “small” mean “bigger or smaller than me”, “nasty” and “kind” mean “nastier or kinder than I am, except when my brother is really asking for it”, and so on.) A good story (and an Egan-inspired elementary curriculum is, in a sense, nothing but good stories) will go further, and transform the binary. Toy Story is grounded in the binary of abandonment/belonging: at the beginning, the toy cowboy Woody belongs to his owner, and has his affection. Then a rival comes who threatens his belonging. In trying to get back to belonging, Woody is entirely lost — and to save the day, he has to come to a deeper understanding of what belonging means. Now, all lessons can’t be Pixar movies. But the good stories (especially in literature and history) will challenge and subvert the binaries they begin with. Q: I see the pattern of Egan drawing from “as many cultures as possible”. Why so many? Is this a political correctness thing? If it helps to think of it as such, then, sure! I don’t think Egan would have had a problem with that. But his ultimate reason for including so much diversity goes deeper. For Egan, including such world-wide diversity isn’t optional, and the answer to why is bound up in his definition of education. (Keep reading.) His answer also insists that we, whenever possible, also include stories from the Bible and Homeric epics (the Iliad and Odyssey). Q: Mmm, stories from the Bible aren’t going to fly in my local school! So be it! Egan doesn’t spend much time obsessing over the practicalities of… His interest is in describing what an ideal education might look like, if it were possible. Every lesson, every classroom, and every school is necessarily a compromise. Q: You make a big deal of poems. But isn’t poetry dead? An interesting contrast can be made to classical education, which also has kids read a lot of poems — they see knowing great poems as one of the marks of an educated person; again, for an academicist, it’s the information that transforms. Egan begs to disagree. Poems are important because they’re a wonderful way to train their cognitive strengths, like rhythm (poems are language fueling by thumping). We want to help kids learn to use this tool better, and a great way to do that is to help them recite poems that they’ve learned by heart. Q: “Learn by heart” — is that code for “memorize”?! It is! Egan is actually quite big on memorization — he points out that all the knowledge in the world can do nothing for a person once they’ve forgotten it. He didn’t, however, appreciate the academicist focus on memorizing without understanding (or at least enjoyment). Q: I’m still worried about the science curriculum, as you’re describing it. Can you allay my fears? Honestly, while I feel there’s something profoundly right to how Egan is describing early experiences of nature, I feel the same way. Note that there’s more science coming in the social studies curriculum. But if that’s still not enough, one could bring down aspects of the middle school science stage. Q: Anything else that Egan suggests we do in elementary school literature and language? He suggests that we help kids learn a second language! This is so obviously true (why do American schools typically wait until kids lose the ability to naturally absorb languages to start teaching languages?) he doesn’t belabor it, though. Q: You had mentioned that Egan’s vision seems more internal-focused. Should we be worried about that? While I strongly suspect that his curriculum would make kids more creative in any way you’d like to measure it, Egan wasn’t particularly interested in “creativity” — he was more about helping kids find the world interesting. I get the sense that he thinks kids will do things with minimal prompting once they’re loaded up with complex internal experiences. Q: I think I’m beginning to understand Egan — is he basically saying “make learning fun”? “Fun”, applied to education, is a dangerous word. Egan worries about the dangers of an emotionally unserious curriculum producing emotionally stunted adults. That doesn’t mean we need to tell students only “serious” stories — only that we treat the world honestly. “Disney-esque sentimentality is the exact emotional equivalent to intellectual contempt”. Q: But aren't some of these stories too dark for children who have themselves experienced oppression and disaster? Egan argues that these stories may be especially helpful to them — they can help them understand their struggles better, and give voice to them. Q: At the very start of this, you promised us “rationality”… but I’m not seeing rationality here! All this talk of “adventure” almost seems to go the opposite direction. What gives? Wait for it. But for a hint right now — Egan is fond of citing his fellow educational theorist Jerome Bruner, who claimed “any subject can be taught effectively in some intellectually honest form to any child at any stage of development”. Bruner was criticized for that; his critics charged that he was ignoring learning differences and socio-economic realities. Egan thinks he was profoundly right. Part 3: A new kind of middle school What’s the matter with middle school? What was middle school like for you? In math, I recall a jumble of barely-related topics. In literature, I remember reading great literature — Frankenstein, Romeo and Juliet — only in their dumbed-down summary formats. In social studies, I remember teachers proclaiming on the first day of class that unlike all of our previous history classes, this class wouldn’t be about names and dates… and then going on to memorize names and dates. And in science, I remember being forced to dissect a frog only to discover that frogs are — you guessed it — made of slimy frog parts. Your mileage may vary, but for a lot of us, middle school feels like getting booted out of the (in retrospect) Eden of elementary school, and like marking time before the serious studying of high school. It feels meaningless. In my favorite of his books, Egan calls so much middle school curricula “human deserts”, noting “we have created a system in which the importance of human emotions for meaning seems barely noticed”. Why so meaningless? If our dominant approaches to educational psychology fundamentally misinterpret younger children, Egan suggests, they basically throw up their hands when faced with pre-teens and teenagers. Mainstream schools begin to introduce vocational training to help lighten the load, and Maria Montessori famously suggests that adolescents should be sent to go run a farm. Egan is sympathetic to those responses, but points out that they don’t do much to lighten the load that the academic curriculum often becomes at this age. This feeling of meaninglessness, he argues, is utterly tragic — it comes just when a hunger for meaning blossoms in adolescents! We can see that hunger for meaning in their lives outside the classroom, where their interests ramp up into veritable obsessions. What are adolescents obsessed with? What might we see, if we become Jane Goodalls of early adolescence? First, teens are obsessed with gossip. The motivations of others — why did he do that? and what was he THINKING? — are hypothesized and talked to death. Second, that they’re pulled toward idealism. Many feel a dissatisfaction with the world as it is, and feel a romantic urge to make it a better place. They’re often lured into simplistic beliefs that promise to help them do that. Third, they love extremes: they want to find limits, and test them. Obviously, this can show up as risky behavior, but we can also see it in their love for the bizarre — note adolescents’ fascination in things like aliens, cryptids, and ghosts. (Egan loves pointing out that The Guinness Book of World Records is a perennial bestseller among kids at this age. How else would they find out who had the world’s longest fingernails?) Fourth, they gravitate toward heroes — people who push the edges of those limits. By celebrating heroes, they can vicariously share in their transcendence. Look for the posts hanging up in a teenager’s bedroom to guess what boundaries they feel most hemmed in by: athletes push against physical limits; a death metal guitarist might push against authority and conventional morality. An activist or entrepreneur might push against our dulled morality or our sense of what’s possible. Finally, we might spot teens taking up hobbies and making collections. Hobbies can be a way to identify yourself as part of a group against the rest of the world (“I’m the sort of person who goes bird-watching!”), and collections can be a way to climb the status ladder inside the community. Egan points out that a collection can also be a way to feel like you have control over what you’re discovering is a very big and complex world of detailed information (“I’ve spotted every one of the fifty most common birds of Texas — even the black-capped vireo!”) Egan’s insight is that these obsessions give teenagers a sense of meaning, and that we can use them as tools to make middle schools that overflow with meaning. From meaningless to meaning-soaked Again, Egan sketches out a new kind of curriculum subject-by-subject. Before, his trick was to ask where the subject first evolved out of; now, it’s to ask who first discovered or created the specific content we’re teaching. “All knowledge”, he writes, “is human knowledge. Everything we know is knowable through the lives of its inventors, discoverers, or users, and we can have access to that knowledge through the hopes, fears, or intentions that drove them”. Middle school math Who first discovered the concepts students learn in math? The answer, of course, is a wide diversity of curious men and women living across the world over the last few thousand years. Egan says: bring those people into how we teach math. If we used gossip and heroes to help students find it meaningful, what kind of math would result? When we teach the Pythagorean theorem, we should give a sense of who Pythagoras was — a cult-founder who worshiped numbers to find God, whose followers (according to a piece of ancient gossip) murdered one of their members who discovered irrational numbers! Q: Well, sure, that works for Pythagoras, but he’s a known nut job; surely most math doesn’t come from such interesting roots? When we teach the Cartesian coordinate system, students should meet Rene Descartes, the Calvinist French polymath who saw the possibility that math could decipher the world, if only we could unite algebra and geometry… and invented the xy-plane to do exactly that. When we teach scientific notation, we should call our students’ attention to the importance of the number zero, and tell them the story of the Pope who tried to introduce Arabic numerals to Christian Europe and may have been assassinated because of it. When we teach algebra, we should ask students why “algebra” is Arabic for “the fixing of bones”, and tell the story of what Muhammad ibn Musa al-Khwarizmi was up to. We could do this all day. Literally everything students learn in school was first invented or discovered by some interesting person who was struggling to accomplish something hard. To learn is to connect with those people, whether we know it or not. Egan says: help kids know it. Math has been dehumanized: re-humanize it. Q: So the math curriculum needs to become a history of math curriculum, and math teachers need to become history teachers? No, the content needn’t change. But with surprisingly little work, we can bring in the gossipy stories of heroes, and their obsessions can spread to students. Middle school science Who first discovered the things students learn about in science? If you’re thinking “scientists”, you’re only partially right. Most of the big-picture ideas that we now think of as “science” were discovered before the word “scientist” was invented, or the discipline was professionalized. Frequently, they were hatched by true amateurs, working in their free time, hungry to unlock the secrets of nature. We can use gossip and heroes to spread their obsessions to students just as we taught math, but Egan points out two twists. The first is that the content itself can take on heroic qualities: everything is impressive, when you look at it in a certain light. In an interview, Egan once said: “My book is an attempt to show that, indeed, everything in the world is wonderful, but that schools are designed almost to disguise this slightly shameful fact. We represent the world to children as mostly known and rather dull. The opposite is the case: we are surrounded by mystery, and what we know is fascinating”. What would even the most boring subjects look like, if we emphasized their heroic qualities? Well: What’s a tooth? Bone, wrapped in rock, surrounding tiny cells that your body feeds with blood. What’s a bar of chocolate? A crystal of jellyfish-shaped fat molecules stacked together; when you put it in your mouth you shake them apart into a writhing confusion. What’s the air around you? The bottom of a 10-mile-deep ocean; when you put your tongue over a soda straw and your Pepsi stops leaking out, it’s not because a “vacuum” is “sucking” it up, but because that ocean is squeezing it into your face. Again, we could do this all day! And in middle school science, we can. Everything in the world is wonderful; we can help students see this again and again. The second twist is that science is a subject rich in extremes. Here Egan introduces a concept that we’ll see crop up again: “15-minute segments”. To help us fit as much wonder as possible into a school day, he suggests we supplement the usual school subjects with a few quick lessons. To infuse science with extremes, he suggests we add on three: “human & natural records”, “extremes of animals & plants”, and “cosmology”. Middle school history Who first made the things students learn about in history? Why, the historical characters themselves! Since we’ve given kids a grounding in history in elementary school, now we can build on that, going through many of the same events as before, but in more depth, and more vividly. We’ll leverage the interest with other people’s inner lives to tell stories focusing on the perspectives of the people who made history — zooming in, when possible, on scandalous details. We’ll leverage the tool of idealism to choose historical characters who chafed against their surroundings, and understand what they were trying to accomplish. What was their vision of the world? What did they hope for, and what did they fear? Q: Isn’t the “great man” approach to history out of fashion? Egan’s approach doesn’t say that “great men” made history — it’s just leveraging gossip to help kids see history as something meaningful that can expand their own possibilities. “Early adolescence is commonly a time of intense and vivid emotional life, and also a time of deepest boredom and depression… [We] can give shape to the intermediate curriculum and offer the students a world that is rich, complex, varied, and as intense and vivid as their own emotional lives”. We also should add on another “15-minute segment” just to pump in as many biographies as possible, and from people who don’t always fit into the normal history curriculum. Call it “Brief Lives”, and throw in anyone who’s struggled to push some limit — Mary Wollstonecraft, Jesse Owen, Dietrich Bonhoeffer, one of the students’ great-aunts, whoever. As students get older, this can transition to “People and Their Ideas”. Here, we’d focus less on the details of the person’s life, and use it as a backdrop to showing how meaningful some of history’s most important ideas could be. Think Aristotle and syllogisms, Edward Said and orientalism, Confucius and propriety, Cornel West and race, Buddha on the four noble truths, Muhammad and the five pillars, Karl Marx and communism, Adam Smith and the invisible hand, Thomas Hobbes and the state of nature, John Locke and natural rights, Jeremy Bentham and utilitarianism, Thomas Aquinas on the sacraments, Martin Luther on faith, Voltaire on the freedom of speech… you get the idea. Q: Can you really get a profound understanding of utilitarianism in 15 minutes? Yes! The point of this segment isn’t to develop a systematic understanding of any one idea, it’s to introduce students to the exciting possibilities of human thought. (As a bonus, this might make them less likely to fall for the first ideology that they encounter later in life.) Diversity is important for this — as it is with culture. Throughout this, we should also be trying to expose students to as much cultural diversity as possible, because in high school, we’ll be trying to make sense of our society, and it’s impossible to do that unless we have something to compare it against. Middle school literature & language You might think that this subject would be easy — that middle school literature is already filled with “strong and clear narratives”, that it deals with “transcendent human qualities such as courage, love, and persistence”, that it focuses on “extremes of human experience”, that it examines “something strange and exotic”. You’d be right! Egan’s pretty happy with a bog-standard middle school literature curriculum, done well. In this part of the book, his spends most of his limited space suggesting three rather odd activities which could also be useful — especially for increasing students’ awareness of language, so they can use it better. The first is etymology — not, however, memorizing lists of roots, but in being told the entertaining backstories of specific words. Take the word “berserk”, for example — we now use it to mean something relatively mild (“if my mom catches me coming home late, she’ll go berserk”), but it comes from an old Norse word meaning “a raging warrior of superhuman strength”. And that’s because ber meant “bear” and serk meant “shirt”: soldiers of the bear cult would don the skin of a bear to, in their minds, transform into one — howling, foaming at the mouth, and gnawing the rims of their shields. (Most adults walk through life with little understanding that the words falling out of their mouths are entities, with their own back-stories. Communication is, at the very least, more interesting when we become aware of this.) The second is to add on another language to learn — not, this time, to become fluent in it, but just to become aware of how very different human languages can be. (For native English speakers, Sanskrit might work well, or Cantonese, or perhaps even ancient Egyptian. Again, the point isn’t for this language to be useful — it’s to explore diversity.) The final one is to study humor — not just jokes anymore, but comedy at its finest. Egan cites (at length!) Monty Python as a group of people who were particularly brilliant in their use of the English language. Examining their skits can lead us into not just an appreciation of semantics (the study of how meaning is made from smaller pieces, like etymology) but also pragmatics (the study of how meaning is made in social situations). Pretty heady stuff, for a conversation about a dead parrot. Part 4: A new kind of high school I’ll confess — I loved parts of high school… and among nerdy folks, I suspect I’m not alone. For some of us, this was a golden time. Even at my local public high school, I had access to academically thrilling classes — especially, in my last two years, advanced literature and history. I felt like I was finally understanding the ideas that mattered. In any case, Egan is quick to acknowledge that, at this level, the sort of education he advocates really is being practiced in some places. What he can add is an understanding of what makes it wonderful, how to make it even more wonderful, and how to make it wonderful for many, many more people. What’s the matter with high school? Far too often, even when high school classes are intellectual, they’re dry. For the majority of students, all this academic stuff is experienced as utterly lifeless, a mass of dead information to be squeezed inside one’s head for a test and then left to evaporate. Egan mocks the curriculum wars that seem to be a permanent feature of the teaching life; quoting the sociologist Pierre Bourdieu, he says “while the academic left and right bicker over whether the curriculum is too traditional or too radical, they fail to recognize that most students absorb so little of academic culture that the bickering is largely irrelevant”. Why so dry? Egan suggests three reasons to explain this. First, because high school academic classes are too often masses of small details with no sign of the big picture. Second, because they’re typically slavishly disciplinary, and aren’t able to address the questions that span the disciplines. Third, because they’re often designed to bring students through what everyone is sure of, and hide away any controversies. In all of these, Egan suggests that what’s called “academics” in high school is too often a dim imitation of what real academics are actually practicing. There’s a fourth reason, though, and it’s probably the biggest of all — by the time they get to high school, most students haven’t actually learned that much! An academic approach is designed to connect small details into the big picture; for people who arrive in high school (and college) classes without having already collected much in their heads, academics are going to taste dry. (An implication of this for anyone trying to improve schools is that we might not want to start with high schools. If your goal is to create a new kind of academic learning, first start at elementary school — or barring that, middle school.) What motivates mad scientists? When we wanted to re-conceive the elementary and middle school curriculums, we looked at what students were already good at — kids’ cognitive strengths and adolescents’ obsessions. For this level it might be easier to look — for reasons that will become clear when we finally unveil Egan’s crazy-sounding definition of education — at the sorts of things that bring intellectuals joy. Q: Which intellectuals? Take your pick. Galileo, Einstein, Smith, Marx, Goodall, Chomsky, Curie… all the people who took to the life of the mind like fish to water. But that’s a lot to hold in my mind at once, so I’m just going to think about Doc Brown from Back to the Future: He was high on intellectualism I’ve never been there, but the brochure looks nice Let’s call these people “mad scientists”. And let’s pretend we once again took up our job of being primatologists, and snooped on these folks “in the wild” (“in the lab”? this is beginning to get recursive…)… what would we find motivating them? Asking simple questions, for one. (What is space? What is society? What is a human? What is language?) Building general schemes (big theories) that hold lots of evidence together. Finding their place in the cosmos. And (perhaps above all) seeking certainty. Once again, Egan suggests we use these as tools to remake the curriculum. From dry to daring What could a high school curriculum look like, if it were rebuilt on these tools? Once again, Egan has a trick. This time, it’s to ask what fights have driven the development of each of these fields forward — and how we can help students enter them. First, a mini-segment! Intellectuals invented the academic disciplines to better pursue the life of the mind, but the disciplines can get in the way. Some of the most important intellectual discoveries that could help students are too big to fit into any of the disciplines. We need a place to introduce them plainly. Egan proposes another mini-segment — again, just 15 minutes a day, a few times a week — called “Metaknowledge”. Q: Isn’t that already in the International Baccalaureate program? Yes, he acknowledges that he’s borrowing from that! This segment would introduce ideas that would enrich student thinking across the disciplines: game theory, cognitive biases, systems thinking, Bayesian reasoning, epistemology, ethics, logic, cultural evolution, and so on. High school literature How can we help students enter the big fights of literature? Intellectuals of a literary bent — professors, critics, poets, novelists — delight in arguing over literature like rabbis arguing over the Talmud. Take, just for one example, the debates over Shakespeare’s character of Ophelia. Does she love Hamlet, or is she a victim of his emotional abuse? Is she truly insane, or is she acting? Is she passive, or is she pulling the strings? Oceans of ink have been spilled arguing over questions like these; our students can, perhaps, spill a few ounces more. The usefulness of arguing literature, for Egan, isn’t that it’s oh-so important for educated adults to know a lot about Ophelia. (This, again, was where the academicists went wrong — in thinking that being educated was about getting the best knowledge in your head.) Rather, arguing over literature is a training arena for the all-important intellectual move of this kind of understanding: building general schemes out of evidence, and struggling with anomalies. One person, for example, might hold that Ophelia is insane, and cite all sorts of obvious evidence — her father just was murdered by her lover, she rants nonsense while (bizarrely) handing out flowers to friends… But then he’s challenged when he reads a scholar pointing out that, to people in Elizabethan England, types of flowers have symbolic meanings. How does he deal with that? He could ignore it, claiming it an over-reading of Shakespeare. (Sometimes a flower is just a flower!) Or he could address it, complicating his own scheme. This intellectual work is best done with other people, who are incentivized to challenge your understanding of something, and go back and forth, building competing models and calling attention to anomalies. This process — the “dialectic” — pops up again and again in the academic disciplines. It’s the center of how understanding works, at this stage. And the nice thing about practicing it on literature is that, more so than in history or science, the evidence is shared knowledge — it’s right in front of everyone, written out. But there are other ways literature class can be helpful to the general life of the mind. Egan also suggests that we’ll want to specially include literature that helps students understand complex ideas. Camus, Orwell, Borges, Calvino might be particularly helpful here… and I imagine that genres like science fiction and magical realism might be particularly useful, too. (Note, though, that once again none of this requires a radical remaking of the curriculum, or of the canon of texts that we traditionally assign to high schoolers.) Q: Oh yes, the canon — what does Egan have to say about the canon wars? When he wrote Educated Mind in the nineties, the long-brewing canon war was approaching its inevitable apocalyptic climax. On one side of this Plain of Megiddo were the pro-canon traditionalists, arguing that we should keep assigning the texts that had been argued over for centuries. Facing them were the anti-canon reformers, arguing the standard texts over-represented the perspective of dead white men. Onto the middle of the plain rides Egan on a white horse, who bellows above the din: “I’VE GOT A BUSLOAD OF HIGH SCHOOLERS WHO WANTS TO JOIN IN, EVERYONE OKAY WITH THAT?” To do so, he says, we need to give students the arguments from both sides. So, for example, bell hooks, Edward Said, and China Achebe should be on the syllabus, as should Allan Bloom, Mortimer Adler, and Diane Ravitch. And of course they should actually read the texts cherished by both sides, too, so they can argue better. High school history How could entering the big fights help us reinvent high school history? First, we might look for dueling histories. It’s time for students to get into historiography and understand that history isn’t just what happened, it’s something we make. We might help kids read chapters from Howard Zinn’s socialist history of America alongside the corresponding chapters from Paul Johnson’s conservative history of America. How could big questions help? We want to help students see how various people have disagreed over some of the big questions of what human history is, at its most basic. We can have them compare Steven Pinker’s theory of civilization’s progress (Better Angels of our Nature) with Yuvah Noah Harari’s theory of civilization’s woes (Sapiens). We could have them compare so-and-so’s account of human history as an ever-expanding unlatching of energy sources with Robert Wright’s account of human history as unlatching more and more positive-sum games (Nonzero). What role could the lure of certainty play? To help them grow their skills at finding anomalies, we might help them work through pseudo-histories and conspiracy theories. Q: Conspiracy theories! Oh, come now, you’re playing with fire. Well, the world is on fire. Our students will spend the rest of their lives encountering terrible-but-beguiling arguments about how the world works; if we don’t prepare them for those, what have we been doing? So we should introduce arguments that the Moon landing was a hoax, that the Illuminati founded America, that aliens built the pyramids, and so on. At no point can we demean students for falling for any of these theories — the job of a teacher at this stage, Egan writes, is to support students in their reasoning even when their beliefs are offensive and stupid, gradually offering anomalies. There’s no way out of bad theories except through them. By the time students graduate, we want them to have wrestled with terrible ideas and — for a while — lost. They need to experience what it’s like to change their minds about something they felt strongly about. They need to viscerally realize, in Feynman’s famous phrase, “The first principle is that you must not fool yourself and you are the easiest person to fool.” High school natural science How could entering the big fights reinvent high school science? At present, so much of the high school science curriculum — especially “honors” classes — is oriented toward helping amass details. (The same is true of 100-level university classes, which famously “survey” the field to prepare for more advanced studies. I always thought this was stupid — of the huge lecture hall of students in my Geology 100 class, how many went on to take even a second course?) The meaty debates that propel science forward are held back. Egan complains: “The more general and speculative theories in any discipline are treated like an unconventional and disreputable relation who, even though the children find her exciting and entertaining, must be kept hidden from view, her very existence denied as long as possible”. This is a stupid approach — students with an adventurous bent are convinced that science isn’t for them. Egan proposes, simply, that we flip this, and organize high school science classes around the big debates. We shouldn’t be ashamed at how, well, adolescent this might look: “the dramatic, speculative, and contentious theories will be up-front in the early years of the [high school] curriculum”. What might those be? Egan doesn’t give a list, but we can spitball some: instead of explaining what “matter” is from the top down, a physics class could problematize “matter” by following the debates over the nature of dark matter and dark energy, and by becoming familiarized with the various interpretations of quantum mechanics
July 20, 2023 · Original source
People are talking about British economic decline.
Source: Mainly Macro Or various articles like The Atlantic’s How The UK Became One Of The Poorest Countries In Western Europe and Foreign Policy’s Britain Is Much Worse Off Than It Understands - Things Weren’t Nearly This Bad In The 1970s .
So maybe we can summarize Eric’s theory as “The British economy isn’t necessarily worse, but after Brexit, some goods cost more money, so the living standard affordable with the same amount of economic production has gone down.”
February 29, 2024 · Original source
11: George Psalmanazar (1679 - 1763) was “a Frenchman who claimed to be the first native of Formosa (today Taiwan) to visit Europe”. He explained away his white skin by saying that Taiwanese people lived underground. Psalmanazar invented an incredibly elaborate fake Taiwanese language, mythology, and custom, and was briefly an 18th-century-England viral sensation. Eventually some people who had actually been to Taiwan called his bluff, he confessed, and he settled down as a writer and theologian, befriending Samuel Johnson and other British intellectuals.
13: Claim: venture capital firm A16Z testified to the British House of Lords that AI interpretability has been “resolved” and the logic behind AI decisions is now fully transparent. No AI researcher would support this claim (despite some recent promising first steps), suggesting A16Z either doesn’t understand even the very basics of the field it’s investing in, or else that they’re committing perjury. Zvi discusses here, CTRL+F “The Quest For Sane Regulations”.
14: Nongqawuse (born 1841) was a prophetess of the Xhosa people (related to Zulus, South Africa). When she was 15, she claimed the spirits told the Xhosa to kill all their cattle as a sacrifice; in exchange, they would bring utopia and drive away the encroaching British. The Xhosa believed her and killed all their cattle. In the ensuing famine, 75,000 out of 100,000 Xhosa died, and the British easily took over their territory.
August 09, 2024 · Original source
Data from HtWWW, recreated to improve image quality. German oil shortages caused exactly the same training problem Japan had faced, with a slightly different but similarly disastrous outcome. Japanese training and production problems led to planes not arriving where they were supposed to in fighting condition (perhaps as few as 10% were actually combat capable when they arrived!) For Germany, training shortfalls meant annihilation for their air force as inexperienced pilots were forced to fight numerically and qualitatively superior American and British pilots. German monthly aircraft lost/damaged rates increased from 52.5% in January 1944 to 96.3% in June. One particularly illuminating episode illustrates how these problems manifested for Germany. The German air force had a reserve of 800 aircraft to counter the D-Day landings. The pilots of that force were used to only flying under expert control systems in Germany (countering bombing raids). When they went to France, they had trouble navigating and often landed on the wrong fields. Ultimately, they were poorly prepared to fight. The head of German fighter command was certain that the entire reserve did not destroy even two dozen Allied aircraft. American/British Airpower Decided the Outcome of Land Battles Beyond the strategic effects of bombing, tactical airpower (i.e., airplanes attacking land forces) gave an insurmountable advantage to the western Allies’ land forces. After D-Day, the Germans had a very strong defensive position in the hedgerows of northwest France. Allied aircraft literally carpet bombed one of the strongest divisions in the German army out of existence, with 70% casualties in one day. That division would normally have approximately 200 AFVs. At the end of that one day of bombing, it had 14. The Battle of the Bulge, the last offensive by the Germans to drive back the western Allies’ advance, was almost pathetic in its hopelessness. We Americans tend to focus on the hard fighting at the outset of the battle, and the stout resistance of the 101st Airborne at Bastogne. Knowing that airpower would make their attack impossible, the Germans timed the battle for bad weather and prayed it lasted as long as possible. Prayer was really the only option. Once the skies inevitably cleared after a little over a week of bad weather, more than 2,000(!) Allied bombers destroyed the German offensive. With most logistical support wiped out, one famous German division had to abandon all its vehicles and walk back to Germany. Criticism of HtWWW as a Book: Love the Data, (Mostly) Don’t Care About the People My single biggest criticism of HtWWW is O’Brien spends a lot of time (I would estimate 20% of the book) discussing the relative importance and influence of various people in the United States and United Kingdom. The section on Doug MacArthur is worth a longer digression, which I have included below. The problem is that focusing on personnel is almost completely irrelevant to the main argument of the book. For example, it is modestly interesting that Franklin Roosevelt, consistent with advice from Harry Hopkins and Admiral Ernest King, focused America’s productive effort on air and sea power. It is not at all central to the argument that air and sea power won the war. The fact that these particular people thought it was a good idea to build planes and ships matters less than the outcome that the U.S. did exactly that. I am very much interested in World War II history, and on an interestingness scale of 1-10, I found this discussion to be at about a 4. The central argument of the book about German and Japanese production was a consistent 10. Sidenote: MacArthur Was a Disastrous General In the part of the book focused on personnel, the one discussion that hit around a 9 or 10 was of Douglas MacArthur and the invasion of the Philippines. MacArthur was the American general commanding the defense of the Philippines. The Japanese conquered the Philippines, and MacArthur slipped away to Australia, heroically vowing, “I shall return.” He did in December 1944, and some of the worst fighting of the war took place, with massive casualties for the Americans, Japanese, and Filipino civilians. Fighting was still ongoing in the Philippines when the war ended in August 1945. The Americans took more than 220,000 casualties, the Japanese 430,000. Estimates vary on Filipino civilian deaths, but 750,000 is a credible middle of the road estimate. O’Brien’s contribution here was pointing out the strategic pointlessness of MacArthur’s invasion. The big American strategy in the western Pacific was to penetrate the Japanese defensive line of islands to link up with China. The northern Marianas Islands also were within heavy bomber range of Japan, and so would allow for efficient, effective bombing. (Bombing Japan from bases in China were logistically impractical, with virtually all materials being flown in over the Himalayas—another fascinating logistics discussion in this book.) The Americans had already conquered the Marianas Islands and had total air and sea dominance in the western Pacific. The forces the Japanese had in the Philippines could have been simply left to wither, as they had been on other islands bypassed by the island-hopping campaign. So, why did the Philippines invasion happen? The inescapable conclusion is that MacArthur was too politically formidable to risk angering, and he personally wanted to invade the Philippines to make good on his promise to return. Not coincidentally, the Philippines also offered some prospect of an extended land campaign where MacArthur could improve his reputation after his disastrous original defense of the Philippines. Also relevant, in O’Brien’s words: “MacArthur [] dazzled Roosevelt with tales of easy victories and grateful Filipinos and American voters.” Criticisms of HtWWW’s Central Argument I think it is clear from the data that O’Brien’s argument, that air and sea power played a more important role than land battles in deciding the war, is fundamentally right. Still, one can raise a few objections. Individual naval battles were capable of destroying a significant percentage of overall production. O’Brien discusses the Battle of Midway, where the Japanese lost four aircraft carriers (37 percent of their navy’s aircraft carriers at the time, 22 percent of all carriers they had during the war). This point doesn’t really disprove O’Brien’s core argument—it is basically a footnote saying that individual naval battles are more likely to matter than individual land battles. Politics and psychology matter tremendously in war, sometimes more than productive effort. O’Brien tacitly acknowledges this in the V-2 weapons discussion when he notes that the Germans spent all this money and effort on a psychological salve to the trauma of Allied bombing. The Japanese did ultimately surrender after the atomic bombings. (Or, if you are more on the revisionist end of the spectrum, they surrendered after the Soviets declared war.) France surrendered after a few disastrous battles. The productive effort lens might be useful, but subject to important caveats. Why Does the Conventional Narrative Focus on Battles? A perfect companion book to HtWWW would examine why military historians and the broader public have focused inordinately on battles. Here are some plausible factors: Battles are more dramatic. Propaganda during the war focused on battles so that there would be more inherent drama. Working twelve hour shifts in a factory to win the great battle is probably psychologically easier than thinking your work is going to disappear into an inchoate slog.
Germany, Japan, the United Kingdom (including the British Empire), and the United States all devoted between 65 and 80 percent of their economic output to the making and arming of aircraft, naval vessels, and anti-aircraft equipment.
Germany conquered Poland and France. It tried to bomb the UK into submission/maybe enable an invasion. That effort failed when Germany was defeated in the Battle of Britain, thanks largely to the plucky efforts of British airmen (memorably summarized by Winston Churchill: “Never in the field of human conflict was so much owed by so many to so few.”)
Bronze Age

Bronze Age is a recurring concept in the Astral Codex Ten archive, appearing 5 times across 5 issues between February 09, 2023 and July 09, 2025. The archive places it in contexts such as "why men were more powerful than women in societies between the Bronze and Industrial Age technology levels"; "The history of the late Bronze and early Iron Ages is a history of fearmaxxing"; "This was way back in the Bronze Age". It most often appears alongside Rome, Africa, California.

Article page
Bronze Age
Mention count
5
Issue count
5
First seen
February 09, 2023
Last seen
July 09, 2025
February 09, 2023 · Original source
29: WoodFromEden responds to Alice Evans’ post on the origins of patriarchy. If you’re allergic to the word “patriarchy”, reframe it as the anthropological question of why men were more powerful than women in societies between the Bronze and Industrial Age technology levels.
January 10, 2024 · Original source
Amorites taking over Babylon: Okay, but the Babylonians could hardly go into the hills to wipe them out, so they got basically unlimited chances. The way I would frame this is that settled decadent people do win more often than they lose, but unsettled barbarians still seem to punch above their weight given the material disadvantages they face. In one of his few concessions to the Fremen, Devereaux has a soft spot for Ibn Khaldun’s theory of asabiyyah - that small tribes can maintain camaraderie and a “family” type atmosphere as their larger neighbors spread themselves too wide and get involved in satrapial backstabbing. The tightly-knit small tribe can then conquer the large but fragmented empire, benefit from its camaraderie for a generation or two until it fades away, and then become the next fragmented decadent empire in turn. Xenophon hints at this in Cyropaedia. Cyrus and his childhood friends form a tightly-knit cadre for the Persian army; their bonds of trust are unbreakable. Meanwhile, Assyria and all the Persians’ other enemies are collections of backstabbing vassals held together with gum and duct tape, who fragment at a mere poke from the crystalline perfection of the Persian machinery. In one of his few other concessions, Devereaux agrees that the Mongols were very impressive, but says this was because of very specific aspects of their society rather than general Fremenness. For example: Steppe warriors battled with tactics learned from the hunt and engaged in operations with logistics they used for every day survival. But it isn’t the ‘hardness’ of this way of life that provided the military advantage (if it was, one might expect non-horse cultures on similarly marginal lands to be equally militarily effective and – as we’ve shown – they were not), it was the overlap of very specific skills (namely riding, horse archery and the logistics of steppe pastoralism) that led to the military advantage. Okay, but one of Xenophon’s points is that Cyrus was a great warrior because he and his friends learned tactics from hunting constantly, and their foil the Medes didn’t do this because they were too civilized and decadent. So my model of Xenophon’s response to Devereaux would be that Devereaux is accurately recognizing various features of non-decadent societies, and judging each of them a contingent exception, rather than Directly The True Effect Of Non-Decadence. But non-decadence, if it’s valuable as a concept at all, will be made of things like “camaraderie among tribe members” and “a tradition of learning tactics from hunting”. Is it useful to think of all of these things as coming from a central concept of “non-decadence” rather than as a bunch of separate things? Here I think about Zvi’s review of Moral Mazes, a book about (essentially) corporate decadence, the difference between a bloated megacorporation and a nimble startup. On average, a bloated megacorporation beats a startup - the next-generation smartphone is more likely to be developed by Apple than by three people in a garage. But everyone agrees startups have advantages of their own, and are sometimes able to beat the megacorporation despite how unlikely this seems. Moral Mazes posits that the bloated megacorporation has so many layers of middle management that the average leader is dealing entirely with social reality - trying to manipulate the beliefs of other middle managers, who are themselves concerned mostly with the beliefs of other middle managers, and so on. Meanwhile, the startup is concerned mostly with physical reality. Either you’re working on real business things (like engineering the product, or looking for customers, or even managing the budget) or you’re at least managing someone who’s doing those things rather than living entirely in some giant house of mirrors. Megacorporations have high volume and low surface area - most points are far away from any boundary with the outside. Startups have low volume and high surface area - most parts of them are being constantly tested against reality and honed into some useful form. One reading of Cyropaedia portrays Cyrus the Great as a guy in touch with physical reality. Part of that is that he goes hunting (and later, goes into battle). But part of that is that his friends are real people, who are his friends for specific reasons, and not ten layers of courtiers and flatterers and vassals. Cultures whose leaders spend time in physical reality tend to get different norms from cultures whose leaders spend time in social reality (read Zvi if you don’t believe me). I think this is enough to link Ibn Khaldun, Xenophon, and the Western tradition of decadence (this is just a possibility proof, not an “I’m definitely right” argument). Then you could use that to explain why barbarians seem to punch above their weight (eg rule China 20% of the time even with 1% of the population). Did Cyrus The Great Invent Niceness? This is a claim I’ve sometimes heard. Machiavelli said that it is better to be both loved and feared, but if you can only have one, be feared. The history of the late Bronze and early Iron Ages is a history of fearmaxxing. Kings would torture their rivals and slaughter their enemies, then erect steles saying “I massacred the Vorgundians, laid waste the land of the Hapidians, enslaved the Gargulians . . . “ etc etc etc. The story goes that Cyrus was the first to get Machiavelli’s perfect balance of fear and love. I don’t know how true it is - some of this comes from the Cyrus Cylinder, Cyrus’ own propaganda about himself. Still, it has to mean something that when every other king erected steles about how many people he massacred or enslaved, Cyrus chose to write about how many people he had liberated, helped, or given rights back to. Wikipedia says: A comparison of the Cyrus Cylinder with the inscriptions of previous conquerors of Babylon highlights this sharply. For instance, when Sennacherib, king of Assyria (705-681 BC) captured the city in 690 BC after a 15-month siege, Babylon endured a dreadful destruction and massacre. Sennacharib describes how, having captured the King of Babylon, he had him tied up in the middle of the city like a pig. Then he describes how he destroyed Babylon, and filled the city with corpses, looted its wealth, broke its gods, burned and destroyed its houses down to foundations, demolished its walls and temples and dumped them in the canals. This is in stark contrast to Cyrus the Great and the Cyrus Cylinder. Sounds pretty easy to get a reputation as “the nice tolerant guy” when this is your competition! Xenophon follows the Cylinder and the invented-niceness side of the story. In fact, he hits you over the head with stories of how Cyrus was nice to people and it ended out helping him. For example: When the Armenians rebel against their master the Medes, the Medes send Cyrus to pacify them. Cyrus wins, but the Prince of Armenia argues that Cyrus should spare the life of his father the king, because this will be so over-the-top unexpectedly nice that his father will be a more grateful and helpful vassal than anyone else Cyrus could put in his place. Cyrus agrees and the Armenians are loyal to him forever.
July 30, 2024 · Original source
In the beginning (says Nietzsche), the word “good” was synonymous with “noble” - ie the virtues that made the nobility better than the serfs they ruled. This was way back in the Bronze Age, so your model for a noble should be Achilles, Agamemnon, etc.
You believe that people should be judged not by their actions, but by the purity of their ideas. Actions are difficult and your actions might be bad, so you definitely don’t want to be judged on those. But ideas are easy, and you can always believe that your ideas are the most pure of all. Also, anyone who acts in the world or achieves something probably is less than 100% slave moralist, so if you judge people based on who has the purest slave moralist ideas, you will always be better than anyone with accomplishments. When I first read Nietzsche, my question was: why worry about the master/slave dichotomy? Sure, maybe this was the way moral codes first formed during the Bronze Age; who cares? You can love excellence and be altruistic. It doesn’t take some Superman to combine them - you can just take the good parts of each. Right? I think Nietzsche would have two answers: First, you don’t pick your moral commitments like foods at a buffet. You deploy them as psychological defense mechanisms. You deploy slave morality when life has beaten you down and you want to maintain some of dignity. You don’t choose which subparts to swallow; you get whichever bits are load-bearing in your personal dignity-maintenance project. And second, you may not be interested in slave morality, but slave morality is interested in you. Master morality isn’t interested in you - the masters are out achieving things and conquering places, they’re not going to take time out of their day to turn missionary and “convert” you to master morality too2. But slave moralists are obsessed with ideological purity and invested in cutting down anybody who’s less slave moralist than they are. Even if you find it easy to avoid yourself, you need to be prepared to live in a slave morality world. V. Jason Crawford Nietzsche’s original dichotomy was aimed at the individual level, where people with psychological drives compete with each other for status. It doesn’t naturally transfer to the idea of societies. There’s a sort of trivial transfer where you can imagine superpowers boasting of their prowess and tiny city-states claiming the geopolitical game is rigged, but that doesn’t seem interesting to me. When I think of master/slave morality at the level of societies, I think of the slave moralist herd instinct to enforce their slave morality on everyone else. This will be a feature of all societies - you could argue it’s what society/civilization is - but some will have it more than others. Jason Crawford, one of the pioneers of Progress Studies, writes about a sort of mid twentieth century vibe shift. In the 19th and early 20th century, Western civilization was busy trying to embiggen itself. Some of this was literal. In America, we had Manifest Destiny, our God-given right to stretch from sea to sea (my sometimes-hometown of Berkeley was named after the guy who coined the slogan “westward the course of empire takes its way”). Europe had colonialism, the White Man’s Burden, and eventually lebensraum. But some of the embiggening was metaphorical. We believed in the cult of progress. We would hold giant World Fairs, where we tiled whole cities with beautiful monuments called things like The Temple Of Machinery or The Altar Of Reason. They would have elaborate friezes of classical goddesses blessing railroads or holding sheaves of mechanically-reaped wheat. Inside, tens of thousands of men would come from every corner of the Earth to behold the newest inventions making our lives richer, safer, and easier. It seemed like we were heading for a Utopia of limitless plenty, and our only responsibility was to bring that great day forward as fast as possible and spread our greatness to as-yet-unenlightened corners of the world like Africa and Tibet. The San Francisco World’s Fair, built in three years (1912 - 1915). The only surviving remnant, the Palace Of Fine Arts (the dome on the lower right), remains one of SF’s most beloved monuments. A picture from the St. Louis, MO World’s Fair of 1904. We erected glorious Art Deco skyscrapers, and boasted of how quickly they went up. We built the Empire State Building in a year and the Golden Gate Bridge in four. The interiors were bursting with color, ornament, and more classical goddesses representing Industry and Ingenuity or whatever. We held ticker tape parades for the glorious aviators and astronauts bringing us to ever-further corners of the world. Art Deco architecture, typical of the early 20th century. After (?) the trauma of the World Wars (?), something flipped. Instead of embiggening ourselves, we began to ensmallen. We replaced World’s Fairs with “World Expos”, which Wikipedia describes as “less focused on technology and aimed more at cultural themes and social progress”. Of the few inventions that did feature, more and more were “green tech” - machines aimed at reducing the damage we were doing to the world. The classical goddesses got replaced by murals of ordinary workers, then abstractions, then nothing. The last ticker tape parade for an individual was 1998; since then the (relatively few, comparatively small) parades have all been for classes of people (NYC’s most recent was for “COVID-19 Essential Workers”). Our buildings became smaller and duller. Last month’s Works In Progress magazine tried to investigate why. Some economists have blamed “Baumol’s cost disease” - as industrialization makes some things (like consumer goods) cheaper, other things (like skilled labor) become relatively more expensive. So maybe the rising cost of skilled labor put buildings like the one of the left out of reach. But Works In Progress found that wasn’t true; if anything, industrialization has made fancy buildings cheaper. They concluded that it was “a story of cultural choice, not of technological destiny” - in other words, people stopped wanting impressive buildings. The vibes were wrong, or something. Intellectuals started feting ideas like degrowth. Degrowth says that it’s gross, greedy, and unsustainable to want economic progress. Instead, we should deliberately aim for economic regress, until First World GDPs are closer to those of South America or Africa. Advocates are careful to emphasize that as long as we take common-sense steps (like implementing socialism), this won’t force anyone to starve to death, just get rid of our useless luxuries - and in some sense, wouldn’t that make us better off?3 The promised future utopia was replaced by almost unbroken dystopianism. Global warming will kill us all, or maybe we’ll be stuck in a cyberpunk world of hopeless soul-crushing inequality. Technological advance is interesting only insofar as it brings our cyberpunk hell closer and (unfairly) enriches some billionaires along the way. The only bright spots are occasional acts of voluntary ensmallening - power plants cancelled, products banned, indigenous tribes winning little legal triumphs over modernity. Live-people goals like “build giant skyscrapers!” and “go to the moon!” could have been followed up with even greater live-people goals like “tile the desert with solar plants”, “create genetically-engineered superbabies”, “get one billion Americans”, or “cure all diseases”. Instead, they’ve been replaced by dead-people goals like “don’t damage the traditional character of communities” or “don’t damage the environment”. If you Google “why aren’t there world’s fairs?” you get a link to this podcast, which explains that they had “useless gizmos”, that the towers were “unattractive”, and that it involved “a dismal thread of racism”. Also because “technology won’t save us”. I agree that this doesn’t literally say the words “we hate all life” - you either see it or you don’t. Parts of this vibe shift still confuse me, but the zoomed-out version seems clear enough. The old pro-embiggening world was complicit in moral catastrophes - racism, colonialism, the Holocaust, the destruction of much of the natural world. At some point these atrocities caught up to and outpaced its very real accomplishments, and society stopped being proud of itself and shifted to a harm-reduction approach. Nobody comes out and says outright that harm reduction necessarily has to mean doing as little as possible and trying to make yourself smaller and less impressive and sadder and uglier until you curl up into a tiny point and disappear. But “slave morality” and “master morality” are attractors; if you select too hard for part of one, you end up with the whole package. VI. Andrew Tate I originally wanted to explain to Bentham’s Bulldog why slave morality wasn’t obviously “the good one” and master morality “the bad one”. Lest I come down too hard and get you thinking that master morality is obviously “the good one”, let’s talk about Andrew Tate. In case you’ve been under a rock your whole life, Andrew Tate is a masculinity influencer. He’s a former world champion kickboxer who pivoted to self-help, sold scammy courses on business and relationships, and got rich. Some of his courses apparently recommended beating up women (I’m not sure if this was supposed to help your business or your relationship), and when people confronted him on this, his response was always “I’m strong and successful and own a Bugatti, which makes me better than you, you pathetic weakling failure”. He was credibly accused of rape (by “credibly” I mean that he sent one of the victims a text message saying “I love raping you”) and when people tried to cancel him over this, his response was always “I’m strong and successful and own a Bugatti, which makes me better than you, you pathetic weakling failure.” Finally he was indicted on one billion counts of sexual assault, human trafficking, and being a general scumbag of a human being; he is currently awaiting trial. Tate has, in some sense, many good qualities. He’s strong, athletic, and motivated. He earned tens of millions of dollars through hustle and hard work. He’s charismatic and compelling and, before his arrest, was one of the Internet’s most iconic influencers. I think master morality has to approve of all these things. Still, he’s obviously a jerk. This is exactly the situation that Nietzsche believes slave morality evolved for - letting me feel contempt for someone who’s stronger and richer and more successful than I am - and yup, now that I’m in this situation, I find myself definitely interested in a moral system that lets me do this. The obvious compromise goes something like: We can genuinely appreciate that Andrew Tate has the many good qualities listed above.
Therefore, we can feel contempt for him. I don’t have anything better than this obvious compromise, but I’m not satisfied by it. I would like to end up with an overall negative view of Tate. And if I do a simple calculation, (virtues - vices), then it seems like if his nonmoral virtues were strong enough, they could overcome the moral vices. If Tate was a really really good kickboxer, he might still end up in the black. It seems much more intuitive to say that no amount of nonmoral virtues can make up for his moral vices. But now we’re back at the full slave moralist package again! Some “compromise”! Also, suppose Tate wasn’t a rapist, he was just some kickboxing champion who was a jerk to people online and constantly posted about he was better than them because of his Bugatti. I still want to feel contempt for him! Now we have to rate the vice of “boastfulness” so negatively that it overwhelms all possible positive virtues, which sounds like some kind of ridiculous straw man of slave morality. All these problems would go away if we gave up on unified assessments of people. Then we could classify Tate as a very good kickboxer who also happens to rape a lot of people. But if we give up on unified assessments, aren’t we giving up on the very possibility of heroes? Isn’t this just the slave moralist denial of judgment? Also, I think Nietzsche would say something something vitalism. He seemed to think there was a coherent conceptual unity between being strong, being skilled, and being some sort of unconstrained wild person who didn’t care what lesser people thought. Is there some sense in which Andrew Tate loses some genuinely valuable virtue, however small, if he becomes a normal civilized person who says please and thank you and is really respectful to everyone? Does he become less powerful, in some sense where powerfulness is good? Is he less able to achieve his destiny of being glorious? I’m genuinely unsure what Nietzsche would have thought of Tate, but it probably isn’t something as simple as “he should be nicer”.4 I’m worried this still isn’t coming off strongly enough. You can argue “master morality is about being strong and good; slave morality is just about preserving your pathetic little feelings”. But most of life is people’s pathetic little feelings. People have proven over and over again that their decisions - about what to do, what to buy, who to vote for, even what to die for - depend more on what lets them feel dignity and self-respect than on any purely material considerations. Every so often, usually on 4chan, you see an actual bully really going at it, unrestrained. Some kind of shock jock, saying “Note to unattached liberal women above 40: you are ugly hags who have lost your chance with men and all your eggs have dried up and nobody will ever value you anymore, you should either beg for some fat alcoholic guy to take you in since that’s the only man you can get, or resign yourself to being a cat lady growing old with nothing to do but dwell on your regrets and what could have been.” Outside of 4chan, there’s a sort of universal alliance against these people, which the rest of us join immediately and unconsciously. Is this the dreaded “herd” of “slave morality”? If so, long live the herd. VII. Cotton Mather Fine. Maybe we do need a Superman to sort this out. What are our options? Preliminary question: where do the Puritans fall on this dichotomy? On the one hand, they’re Christian, so they have a strong slave morality heritage. They talked a lot about humility, altruism, frugality, and self-discipline. On the other, they sure did talk about them a lot. The Puritans were convinced that virtues were real and good. They were convinced that some people had more of them than others, and that made those people better. The Puritans would have burnt you at the stake if you accused them of believing in the Promethean human spirit conquering the natural world. But they did sort of believe in it - at least enough to believe it was their moral mission to colonize a virgin continent. My goal here isn’t to explore the weird Puritan theology around who was a good person (nobody, we are all incredibly sinful, but God chooses to redeem some people through no virtue of their own, and then those people are genuinely better off and do fewer sins). Rather, I want to examine two different forms (levels?) of slave morality. In the first form, you replace the masters’ virtues with different virtues. But those virtues are still real. You can still embody them more or less well. This sort of creates a new hierarchy. The Puritans wouldn’t have respected a Bronze Age barbarian warlord. But they did respect the local minister. And the local minister was probably a smart, competent, disciplined, hard-working guy. From your respect for the local minister, you can rebuild civilization. Instead of obeying a warlord, you obey the minister, out of respect for the God and the values that he represents. In the second form, you notice that the first form is just another hierarchy of masters. You (the wretched of the earth) used to be contemptible because you were weaker and poorer than the warlord. Now you’re contemptible because you’re less virtuous and disciplined than the minister. Even if there’s no local minister, everyone’s still keeping track of how you said the word “darn” once and are therefore unsuitable for God’s kingdom. So you decide to reject not just the masterly virtues (strength, wealth, etc), but also the slavish virtues (continence, dignity, altruism) in favor of . . . no virtues? The virtue of hating other virtues, which shows that you’re enlightened to the true nature of the world where all virtues are fake? I used to have this map on my wall: It’s Progressive-era propaganda about the superiority of the American North over the South, but I find it most interesting for its list of virtues. It starts with Liberty, then moves on to Free Speech, Intelligence, Obedience To Law, Knowledge, Equal Rights, Free Schools, Contentment, Love Of Country, Philanthropy, Benevolence, Happiness, Patience, Charity, Faith, Hope, Joy, Industry, Sobriety, Morality, Justice, Virtue, Truth, Honor, Peace, Light, and Immortality. I appreciate the Progressive virtues because of how skew they are to most of the ethical systems I encounter. They’re not leftist (Love Of Country? Industry? Morality?) or rightist (Equal Rights? Free Schools?). They’re not Nietzschean master moralist (Philanthropy? Contentment? Benevolence?) or slave moralist (Industry? Knowledge? Honor?). They’re Christian-ish, but not hair-shirts-and-self-flagellation Christian or God-n-guns-megachurch Christian. They’re the kind of Christians who you can kind of tell are going to end up supporting eugenics in a few years. I think I would classify them as a first-form-slave-morality liberalism, whereas most of the liberalism you encounter these days drifted at least a little into the second form. I’m not 100% on Team Early 20th Century Progressive, but they give me hope that there are weird-yet-coherent groupings of virtues we haven’t even imagined. I feel the same way about some old Soviet posters: These are obviously left-wing, in the sense that they’re literal Communist propaganda. But to the modern eye there’s something off about them, something that makes you want to call them right-wing or even fascist. They’re bold and optimistic. Even though the commissars who commissioned them probably rejected some traditional or capitalist conception of virtue, they still firmly insist that there’s something sort of like virtue or power which is attainable and good. I think these are first-form posters, and that most modern leftism is second-form. I think if you had to group barbarian warlords, Puritans, Soviet communists, and modern leftists on a Nietzschean/geneaological/aesthetic axis, it would go: (Barbarian warlords) | (Puritans, Soviet communists) | (modern leftists) So one very weak compromise - hardly even a compromise, since it predates Nietzsche - is to try to stick with first-form slave morality, in the hopes that most of the problems come from the second. VIII. Ayn Rand “Is Ayn Rand a Nietzschean?”- the greatest thread in the history of forums, locked by a moderator after 12239 pages of heated debate. There’s a real answer here. Rand started out respecting, maybe even loving Nietzsche. She once said that: [Nietzsche’s] Thus Spake Zarathustra is my Bible. I can never commit suicide while I have it. …which maybe reveals more about her psychological situation than I expected from the answer to a “who’s your favorite philosopher” questionnaire. But later on she broke from him. It’s hard to figure out her exact position - she has a bad habit of treating anyone who disagrees with her in any tiny detail as the Antichrist, such that it’s hard to figure out whether she thinks of someone as a 99% fellow traveler or an arch-enemy. Still, there are substantial differences. Nietzsche is more chaotic - he expects the superior man to defy all external rules in favor of his own glorious destiny. But Rand is attached to rules - most of all the epistemic rules of Reason, but also the usual moral tenets like “don’t kill” and “don’t steal”. Nietzsche’s masters take the Ron Swanson approach to justifying their actions: …whereas Rand’s masters are prone to giving twenty-page-long arguments for why whatever they’re doing is the right choice according to Objectively Correct Moral Law. Rand’s approach has lots of advantages. The Nietzschean master, like Andrew Tate, is an awful guy to have around. It’s hard to fit him into a functioning civilization, except maybe an autocracy with him as autocrat. Nietzsche’s pitch is “hey excellent people, you should try to become this guy”, never “hey normal people, you should support my project of creating these guys, out of your own self-interest.” The latter wouldn’t pass the laugh test. Rand’s masters, while still probably very stressful to be around, have been tamed. They follow civilized rules of honesty and nonviolence - not, of course, because they’re too weak to defy them, but because following civilized rules is objectively the coolest thing of all. Instead of competing in battle and leaving a trail of bloody corpses, they compete in Capitalism and leave a trail of high-paying jobs and excellent consumer goods. They’re not doing to serve you - “I should serve the little guy” is slave moralist bulls**t. But, by coincidence, their excellent actions are doing you a service. They might only invent rocket ships to enact their Promethean conquest of nature and prove their own greatness. But you still get to ride in one. Rand also spares more of a thought (or at least an afterthought) for the little guy. Capitalism needs all types - even the company janitor genuinely contributes to whatever glorious accomplishments are going on, and deserves to feel good about themselves. She wants everyone to be the best, most ambitious, and most fighting-for-their-own-aesthetic/moral-vision they can be. But if that means being the company janitor, that’s fine. And if you love rockets and you consummate that love by becoming the janitor for a rocket company, the Objectively Correct Moral Law is 100% on board. I am not a Nietzsche scholar, but I think this is a more productive answer than Nietzsche has for this question. The disadvantage of Rand’s approach compared to Nietzsche’s is that it only works if you believe her proofs about why the Objectively Correct Moral Law is definitely objective and correct - most of which seem to me to be either hand-wavy or balderdash. Otherwise the whole thing breaks down - why is the most masterful thing to be a positive-sum capitalist instead of a negative-sum warlord? Rand really really wants to justify a peaceful, glorious, positive-sum society, to the exact people most capable of benefiting from defecting against it, without bringing in altruism or the common good at any point. It’s an extremely sympathetic goal. But I don’t think she makes it. Still, this is why I’m fond of her. If you really read her books - as opposed to skimming them while subvocalizing “this is that evil woman who loves selfishness” under your breath the whole time - it’s obvious that she believes, with a deep and burning belief, that good things are good. She really really wants to think that you can objectively convince people to support a peaceful, glorious, positive-sum society, without any hint of the psychologically-toxic slave morality that typified the USSR she grew up in. When people react to her books with loathing - without even a hint of fondness - I get suspicious that they’ve gotten so deep into slave morality that thy can’t recognize goodness when it hits them over the head with a sledgehammer. Elsewhere, I wrote: Edward Teach (Sadly, Porn) is famous for making up fake novels to criticize, and it is a little known fact that the "Ayn Rand" character along with all her novels are 100% his work. They operate as a diagnostic test based on his psychodynamic theory of envy. The instrument presents a picture of some exceptional people achieving great things who don't apologize for their greatness, and doesn’t explicitly ask the patient - I mean, reader - for their opinion. If the reader has no strong opinion, or says something like "Good for them, I guess," she passes the test. "I like these people and will use them as a role model" also passes. Some specific criticisms (see below) may also pass. If the reader says "Ah, people who are better than the pathetic sheep around them, just like I'm better than all the pathetic sheep around me!", she . . . still passes the test. That's not what it's testing for! You fail the test if you absolutely freak out about some combination of the Rand characters themselves and the potential existence of arrogant people who identify with the Rand characters. The secret is that it's not a screening test for the kind of people who would get featured on /r/iamverysmart. It's a screening test for the kind of people who would comment on /r/iamverysmart, ie the self-designated Tall Poppy Police, ie the people who build their ego off being the enforcers of the rule that you're not allowed to look better than anyone else. These people's basic mental stance is to hate people who seem too excellent. They don't think of it in these terms. They think of it as calling out arrogance, although if you look too closely you'll find their definition of arrogance covers anyone who seems excellent and but doesn't spend all their time apologizing and abasing themselves and denying it. The brilliance of Teach-Rand is how he-she draws this tendency to the foreground For example, why the whole "Objectivism" thing? Not because value is necessarily completely objective, but because the idea that any value might ever be even partially objective freaks out the Tall Poppy Syndrome people. Mention value at all, and they say you must be trying to secretly smuggle in the assumption that you are more valuable than other people (and therefore you are less valuable than other people, and therefore they are better than you). The same is true of Reason. Mention that Reason exists, and they'll interpret it as a claim that you, the only rational person, are claiming to always be right and infallible. But (they retort) actually nobody knows anything, and the only wise people are the people like them who humbly admit this. (how do you decide what's true without Reason? By bias-based-reasoning - "You say X, but I can imagine a way that would come from a place of believing you're better than other people, therefore, Not-X is true. You say that's a logical fallacy? That must come from a place of believing you're smarter than everyone else and the only person who can use Facts and Logic.") The Teach-Rand test is designed to catch the sort of person who, if someone says that on a right triangle a^2 + b^2 = c^2, responds with "Oh, so you're claiming to be some kind of right triangle expert who's better than the rest of us? You really need to work on that arrogance problem! Super cringe!" Any criticism of the book that doesn't come from this particular place is irrelevant to the test and doesn't count against your grade. (which is good, because the books are bad in a lot of ways. But that's fine - Rorschach blots don't also have to be great art!) Still, I don’t think she’s the superman (superwoman?) who successfully transcends the dichotomy Her philosophy is only as strong as its proofs of Objective Correctness, which I consider weak. Without those, you need some subjective motivation to glue things together - of which altruism is the most popular. But also, don’t we like altruism? When we’re bestriding the Earth like colossi, working on our glorious rocket ships to colonize the universe, isn’t part of what we’re thinking “this is going to revolutionize humankind and make everybody better off?” If you force yourself to reject that motivation, to just repeat “no no no, I’m only doing this because rockets are really big and make cool explosions”, aren’t you cutting out a part of yourself, in exactly the way Nietzschean masters are supposed to try to avoid doing? I find something very compelling about Rand. I think she goes some of the way to answering the Andrew Tate objection to master morality. But she’s a means and not an end. A real superman would have to figure out some way to reintroduce basic human kindness. IX. Matt Yglesias Yglesias’s mantra - “good things are good” - is too perfect and profound to come from anyone other than an esoteric master of Nietzschean philosophy. Good Straussians ignore the title and focus on the subtitle. Nietzsche wrote in the 1890s. There were still real nobles and emperors walking around; communists had not yet started calling capitalism “late capitalism”. Sure, his world was probably some sort of weak compromise between master and slave morality, but it was different from our weak compromise. Our weak compromise was forged through dialogue and warfare with fascism’s novel take on master morality and socialism’s novel take on slave morality. I think of Yglesias - who combines an insistence that good things are good and a proclivity for embiggenment with commitments to democracy, the welfare state, and the poorest among us - as one of its most self-conscious proponents. When I first titled this post, I didn’t know that Richard Hanania had come to the same conclusion and created this face-mash-up of Matt Yglesias and Nietzsche. The compromise goes something like: Everyone is equal before the law, before the metaphorical throne of metaphorical God, and in some poorly defined philosophical sense. This is very important. It’s our headline result. Everything else should be interpreted in light of this central fact.
July 01, 2025 · Original source
20: A journal has retracted the paper claiming that a comet hit a Bronze Age city in Jordan (and potentially inspired the story of Sodom and Gomorrah); see the PubPeer page for some of the “inappropriate manipulation” that was detected.
July 09, 2025 · Original source
Jaynes was the psychologist and historian who gathered an exhaustive collection of sources suggesting that Bronze Age people didn’t experience consciousness the way we did - instead feeling like they were automata being commanded by the gods to do whatever they did.
Bayes

Bayes is a recurring concept in the Astral Codex Ten archive, appearing 4 times across 4 issues between March 26, 2021 and May 30, 2025. The archive places it in contexts such as "the basal ganglia weighs the evidence using Bayes and flees the predator"; "You can do it using Bayes, but it will be complicated"; "The whole point of all this Bayes stuff is that 'the middle ground' is wide". It most often appears alongside Aella, Scott, 3Blue1Brown.

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Bayes
Mention count
4
Issue count
4
First seen
March 26, 2021
Last seen
May 30, 2025
March 26, 2021 · Original source
I've come to disagree with all of these perspectives. I think willpower is best thought of as a Bayesian process, ie an attempt to add up different kinds of evidence.
The economic metaphor here is cute, but the predictive coding community uses a different one: they describe it as representing the "confidence" or "level of evidence" for a specific calculation. So an alternate way to think about lampreys is that the flee-predator region is saying "I have VERY VERY strong evidence that fleeing a predator would be the best thing to do right now." Other regions submit their own evidence for their preferred tasks, and the basal ganglia weighs the evidence using Bayes and flees the predator.
April 11, 2021 · Original source
1: Thanks to everyone who commented about multiple hypothesis testing. I think the answers to the questions I had were something like 1) the vitamin D study should have used stratified random sampling. 2) NHST is not great at combining experiments, but you could potentially do it through binomial probability or the Westfall-Young method) 3) You can do it using Bayes, but it will be complicated and involve having to calculate the relative probability of the data given various different hypotheses (props to Jacob Falkovich for actually doing the Bayesian calculation; in case you’re wondering, the Bayes factor for my series of ambidexterity experiments is 216). Some good links from the comments: Why Experimenters Might Not Always Want To Randomize, And What They Could Do Instead, What Is Stratified Random Sampling?, Rerandomization: What Is It And When Should You Use It.
November 11, 2022 · Original source
I reject this characterization. Everything is a middle ground. The whole point of all this Bayes stuff is that “the middle ground” is wide and worth fighting over. We can have a non-absolute middle ground with 1% probability, a non-absolute middle ground with 99% probability, or anything in between. I’m not doing the morality/etiquette thing of demanding a norm that you believe people, I’m doing an epistemic thing of providing justifications for a prior that you believe people.
May 30, 2025 · Original source
Eh. You’d think that as someone whose teaching style could be described as “wacky” and “manic” and “unhinged”, I’d be in favor of more silliness in schools. I suppose I am, but it’s important to note that “fun” by itself is unsubstantial. Education is a serious pursuit; souls are on the line. I.I.: Then is it “relevancy” we need? (How could we make Bayesian reasoning relevant to middle schoolers’ everyday lives?) Making what we teach relevant is essential — but be very careful about the assumptions packed into words like “relevant”, “useful”, and “practical”. When most of us hear those, we start thinking about the externals of our students’ lives. (How will this help them get a job? How will this help them become socially savvy?) Pause to consider how some of the most boring topics you learned in school were precisely those that were supposed to be “useful”. Here be dragons!
Then look at who developed Bayesianism further. What community championed it? What sorts of things were driving them? Dear reader, we are that community! And why did we throw ourselves into Bayesian reasoning so fully? Certainly different people can give different answers, but my understanding is that many of us got interested in order to win online arguments against morons. My own start wasn’t particularly “relevant” to anything else I was doing: I got into Bayes to debate the historicity of Jesus. The people I see using it the most these days are mostly partisans (on both sides) of the God wars.
Bayesian reasoning can become confirmation bias on steroids. You have to be humble in your analysis, because there are SO MANY DIFFERENT WAYS IT CAN GO WRONG.
bipolar disorder

bipolar disorder is a recurring concept in the Astral Codex Ten archive, appearing 4 times across 4 issues between February 03, 2021 and September 18, 2023. The archive places it in contexts such as "dynamical systems oscillate wildly between very low and very high points, which is pretty suggestive of bipolar disorder"; "to screen for bipolar disorder"; "“severe mental illness” would indicate not schizophrenia and bipolar disorder". It most often appears alongside US, America, Scott.

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bipolar disorder
Mention count
4
Issue count
4
First seen
February 03, 2021
Last seen
September 18, 2023
  • US 3 shared issues
  • America 2 shared issues
  • Scott 2 shared issues
  • 2020 1 shared issues
  • 787 1 shared issues
February 03, 2021 · Original source
(also, some dynamical systems oscillate wildly between very low and very high points, which is pretty suggestive of bipolar disorder)
Others are purely dynamical systems, where patients can sometimes be perfectly healthy, but occasionally they shift into a different attractor state. You could sort of think of this as having the “trait” of a weirdly-shaped attractor basin if you want, but there’s still a clear distinction between health and disease. I think depression and bipolar disorder fall into this category.
In conclusion, taxometrics offers a useful way of understanding smoothed-out lifetime averages of mental disorders: as traits or taxa that differ among people. But many mental disorders evolve over time; depression comes in discrete episodes that start at some point and get better at some other point; bipolar comes in patterned waves of mania, depression, and euthymia. To understand these conditions, we have to add a dynamical systems perspective and think of episodes as attractor states.
April 12, 2023 · Original source
Most IRB experiences aren’t this bad, right? Mine was worse. When I worked in a psych ward, we used to use a short questionnaire to screen for bipolar disorder. I suspected the questionnaire didn’t work, and wanted to record how often the questionnaire’s opinion matched that of expert doctors. This didn’t require doing anything different - it just required keeping records of what we were already doing. “Of people who the questionnaire said had bipolar, 25%/50%/whatever later got full bipolar diagnoses” - that kind of thing. But because we were recording data, it qualified as a study; because it qualified as a study, we needed to go through the IRB. After about fifty hours of training, paperwork, and back and forth arguments - including one where the IRB demanded patients sign consent forms in pen (not pencil) but the psychiatric ward would only allow patients to have pencils (not pens) - what had originally been intended as a quick note-taking exercise had expanded into an additional part-time job for a team of ~4 doctors. We made a tiny bit of progress over a few months before the IRB decided to re-evaluate all projects including ours and told us to change twenty-seven things, including re-litigating the pen vs. pencil issue (they also told us that our project was unusually good; most got >27 demands). Our team of four doctors considered the hundreds of hours it would take to document compliance and agreed to give up. As far as I know that hospital is still using the same bipolar questionnaire. They still don’t know if it works.
My own consent form story: in my bipolar study, the IRB demanded I include the name of the study on the form. I didn’t want to - I didn’t want to bias patients by telling what we were testing for. Next they wanted me to list all the risks. There was no risk; we would be giving the patient a questionnaire that we would have given them anyway. The IRB didn’t care; no list of risks, no study. I can’t remember if I actually submitted, or only considered submitting, that the risk was they would get a paper cut on all the consent forms we gave them. In any case, another doctor on my team found a regulation saying that we could skip this part of the consent form for our zero-possible-harm study. The IRB accepted it, let us start the study, then changed their mind and demanded the full consent form along with their 26 other suggestions.
September 07, 2023 · Original source
A 65 year old man who’s only attracted to adult women 40+. Most people in our society would classify 1 (an ephebophile) and 2 (a non-obligate pedophile) as mentally ill or at least worrying edge cases. But I think Emil’s theory rules that only Person 3 (the man attracted to people close to his own age) is mentally ill, since he’s ruled out mating with the vast majority of fertile women. 4: Plato …never had children. “Platonic relationship” jokes aside, I guess he was too busy philosophizing. Great men (and women) who can’t slow down to raise a family seem to be a type. Is an interest in philosophy (or science, or art, or any other worthy endeavor) that reaches the point where it consumes your life a mental illness? Kierkegaard bites the bullet and admits that the priests and monks who took vows of celibacy were mentally ill by his definition. But I think he has many more bullets of this type to bite. Even if we agree that we should classify Plato as mentally ill, this again seems very different from the practical concept of “this person has mental problems and needs help with them”. 5: Chronic Pain, Panic Attacks, Or, If You Insist, Nightmares Is chronic pain a mental illness? It seems pretty bad. But as long as it doesn’t impede your ability to hunt, gather, or have sex, I think Emil would have to say no. Same with panic attacks, anxiety, etc. If it’s hard to imagine a form of chronic pain that doesn’t impede those things, consider nightmares. These surely don’t impede any daytime activity, but chronic nightmare disorders seem very unpleasant! I think Emil has to bite the bullet that conditions which make people miserable and ruin their lives aren’t mental disorders as long as they don’t affect functioning. 6: Severity In his post, Emil includes a few turns of phrase indicating we can talk about severity - ie some mental illnesses are more severe than others. But by his framing, “severe mental illness” would indicate not schizophrenia and bipolar disorder, but homosexuality and asexuality. After all, schizophrenics are more likely to have children than gays. Again, this is pretty different from the way you want to use words when talking about real-world problems around how to help people with mental problems get better. 7: Is Emil’s Definition Of Mental Illness Itself A Mental Illness? Emil’s crusade to reclassify homosexuality as a mental illness doesn’t sound like it would be very popular in his home country of Denmark. Maybe there are even some nice Danish women who would be willing to date Emil otherwise, but are turned off by his un-PC opinions. Willingness to violate taboos couldn’t have been very helpful in the environment of evolutionary adaptedness. I imagine some distant ancestor of Emil’s standing up in front of the tribe and saying “Me think Bear God stupid and ugly! Me piss on Bear Idol!” Might mean fewer Kirkegaards around today. So is contrarianism a mental illness? I would say no, because it’s a matter of personal choice and serves a valuable social function. I’m not sure what Emil’s answer would be. * * * I don’t want to assert any of these too strongly. Maybe Emil knows something I don’t about the EEA, and can prove that actually ADHD would be maladaptive there, or ephebophilia would get you in trouble. If so, I think that would restore some concordance between our intuitive notion of mental disorders and Emil’s version, but that concordance would be coincidental, not necessary. The next day we might learn some different fact about the EEA that would make the two notions discordant again. So to repeat my claim: mental-disorder-(Emil) and mental-disorder-(Scott) both describe useful concepts, but they’re not the same concept. Mental-disorder-(Emil) is useful for talking about evolutionary genetics; mental-disorder-(Scott) is useful for talking about present day mental health problems and what to do about them. We won’t convince people to literally use the terms “mental-disorder-(Emil)” and “mental-disorder-(Scott)”. So who should keep custody of the current term “mental disorder” and who should have to make up a new word for their thing? I think Emil should have to make up the new word, because: There are a few thousand evolutionary psychologists, and a few hundred million normal people who want to talk about mental disorders for normal reasons (like because they have them).
September 18, 2023 · Original source
But hypomania is usually temporary and rare. A typical person with bipolar disorder might have hypomania for a week or two, once every few years. Musk is always like this. Bipolar disorder usually starts in one’s teens. But Musk was like this even as a child.
His low periods might meet criteria for a mixed episode. But a bipolar disorder that starts in childhood, continues all the time, has no frank mania, and has only mixed episodes instead of depression - doesn’t really seem like bipolar disorder to me. I’m not claiming there’s nothing weird about him, or that he doesn’t have extreme mood swings. I’m just saying it is not exactly the kind of weirdness and mood swings I usually associate with bipolar. I have never met or talked to him and he probably keeps a lot of his inner life secret so I could be wrong, I’m just not seeing obvious evidence for this.
Surprising to see a psychiatrist write a review of Musk focusing on his psychology and replete with quotations about his erratic sleep habits or obsessive focus, and never use the words "bipolar" or "mood disorder"
Boomer

Boomer is a recurring concept in the Astral Codex Ten archive, appearing 4 times across 4 issues between May 21, 2021 and January 16, 2026. The archive places it in contexts such as ""early Boomer retirements as signaling massive capital availability""; "the Pope is in many ways a typical Boomer liberal"; "This is my true objection to the term “Boomer”". It most often appears alongside Trump, United States, Africa.

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Boomer
Mention count
4
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4
First seen
May 21, 2021
Last seen
January 16, 2026
May 21, 2021 · Original source
We didn’t just get tremendous economic growth though – we got “magical” results, but they were based on a one-time confluence of factors that “overwhelmed the normal rule that lots of twenty-and thirty-somethings make for an expensive-capital environment.” What were these one-time accelerants? He identifies the peace dividend – cuts in military spending that allowed capital to be put to more productive uses – as one such change, along with the emergent dominance of the US dollar, particularly boosted by Russian demand thanks to the collapse of their currency, and a later boost in demand thanks to the East Asian financial crisis. With the Europeans’ decision to eliminate national currencies (agreed upon in a 1992 treaty, with the Euro to be introduced in 1999), they became relatively unattractive, and the Euro itself (an “unprecedented experiment in pan-government planning”) was too risky. Many holders of European currencies switched to the US dollar, such that between 1994 and 2002 (“when the euro finally got some traction and the surge dialed back”) there was a $2 trillion increase in the money supply. Zeihan also points to a collapse in commodities prices influenced by the elimination of Russian demand, but continued Russian production of oil and other commodities, followed by a collapse in demand thanks to the East Asian financial crisis. This story of capital coming to the West (“allowing consumption-driven growth not simply to soar, but to explode”) is one of chance world events. However, the story of capital coming from the Boomer cohort is one of demographics. By the 2000s, they’re the mature workers of Zeihan’s four stages described above – and as the bulge in the demographic pyramid, they started flooding the world with capital. Accordingly, “The cost of credit plummeted to levels never before experienced.” Zeihan suggests that developed-world demographics are the cause of booms in places that haven’t been well-developed, from Southern Europe to Brazil, Russia, and India. But he says it’s quickly coming to an end; Boomer savings into stocks and bonds will be moving to low-risk instruments and then turning into withdrawals rather than savings, and the cohort behind them is too small to replace all of that capital. And it’s a worldwide phenomenon: In every single developed country there is currently an American-style population inversion between the about-to-retire and the about-to-be-mature-workers age groups. Japan’s Boomers bulge is a decade older than the American equivalent, while Spain’s is roughly fifteen years younger. Everyone else falls somewhere in between. It dictates a period of chronically low growth and high credit costs, just not on precisely the same time frame. The undeveloped world is that way because it can’t self-fund, so without foreign capital, their growth will come to an end. In sum, the 1990-2005 period of high growth and easy capital was a historical anomaly; “the post-Cold War financial flight was a once-in-a-generation event” and the demographic bulge that coincided with it won’t come around again for decades, if ever. 4 2: America’s incredible advantages As noted above, Zeihan really likes America’s position in the world. He likes its demographics (relative to other developed countries) and loves its geography. Taking the population question first, in America, “the demographic inversion is only a temporary development.” America is younger than the rest of the developed world, as it urbanized later and its enormous size made having kids easier despite that urbanization (i.e., the suburbs exist). This makes the demographic crunch a single-generation issue, as the Millennials are a huge cohort. And even if they weren’t, America assimilates immigrants more easily than other places – Zeihan attributes this to it being a “settler society” – which can help with demographic problems. The rest of the developed world doesn’t have similar cohorts following their massive Boomer and Gen-X analogues. Accordingly: While the American financial world will be past its period of maximum stress by 2030, for the rest of the world 2030 will simply be another year of an ever-deepening imbalance between retirees and taxpayers, with smaller and smaller generations coming up the ranks generating less and less growth. For the developed world beyond the United States—and even large portions of the developing world—chronic capital poverty and permanent recession will be the new normal from which there is no return. Together with America’s Millennial-led growth and abundant energy (there’s a chapter explaining how shale is a done deal that, as of the mid-2014 writing, already made America the world’s largest energy producer 5), by 2030 Zeihan sees it as practically the only country with an economy worth noting. Anyone who is familiar with American geography should see the argument that’s coming about that aspect of Zeihan’s model. Isn’t the Mississippi River a pretty big deal? And those oceans on the east and west coasts seem like nice borders. Indeed, while he gives us many reasons why there was always going to be an American superpower, geography is central to his story. He has lots to say about America’s internal river systems, farmland, and other geographic features. What mountain barriers exist are apparently better than in other countries in terms of allowing internal transport; the Rockies have major passes, several of which have large cities within them, and the easiest pass in the Appalachians featured America’s first National Road, 130 miles of buried logs that linked two rivers, and thus the east coast with the best farmland in the world. As we saw with his exposition on the Nile, Zeihan puts a lot of emphasis on the value of river systems. He argues that America’s waterway network alone should be sufficient for “global dominance.” The numbers he provides in support of this point are impressive. For example, “the Mississippi is only one of twelve major navigable American rivers. Collectively, all of America’s temperate-zone rivers are 14,650 miles long. China and Germany each have about 2,000 miles, France about 1,000. The entirety of the Arab world has but 120.” He praises US barrier islands that mitigate oceanic destruction and effectively create another river system, as well as the fact that the river system is an actual network. All of this gives America more internal waterways than the rest of the world combined. Thus, we get cheap transportation for “Nebraska corn or Tennessee whiskey or Texas oil or New Jersey steel or Georgia peaches or Michigan cars,” enabling savings that “can be used for whatever Americans (or their government) want, from iPhones to aircraft carrier battle groups.” America doesn’t have to spend on artificial infrastructure, like German roads and rails, but when it does, the competition from the rivers keeps transport costs low. Cheap internal transportation has other benefits. “It’s a recipe for small government and high levels of entrepreneurship,” as small government keeps taxes low, leaving people with plenty of capital. Some people may think of the American consumer with disdain, but it isn’t a new phenomenon. Zeihan points out that America has been the world’s largest consumer market “since shortly after the Civil War.” His observation about a robust food supply forming the base of any civilization bodes well for America, which apparently has the largest connected stretch of quality farmland in the world (the Midwest), the value of which is exponentially increased by the fact that it overlaps with so many of these amazing river systems. It isn’t just the Midwest that he gushes over. California’s Central Valley and the Sacramento River, and Washington and Oregon’s farmland with the Columbia and Snake Rivers get praise. The only major farmland more than 150 miles from a navigable waterway is some of the Great Plains near the Rockies. ***** Zeihan provides a reminder that national security is actually a thing, and that at its most basic level, it’s about protection against invasions. It was something of a shock reading about America’s land borders in that context. “As Santa Anna discovered during the Texas Independence War, there is no good staging location in (contemporary) Mexican territory that could strike at American lands.” And, “Canada’s border with the United States is much longer, more varied, and even more successful at keeping the two countries separated,” thanks to mountains and thick forests over much of it. The mid-continent lands are much more connected, but Zeihan frames these Canadian areas as basically American; they’re physically separated from Canada’s core eastern provinces, so trade with them is weaker than with the closer American states. Then there are the oceans. As much as Zeihan loves deserts for protection, he loves oceans more (particularly in a post-World War II world; more on that below). We get a story about the War of 1812 nearly splitting America into three when the British attacked Baltimore. America learned about “strategic vulnerability and sea approaches,” as the attack “on Baltimore—indeed, the entire war effort—would have been impossible without launching grounds in Canada and the Caribbean.” American foreign policy since then can be understood with respect to this lesson. Zeihan cites it as inspiration for America’s steps to make its ocean borders truly impenetrable, such as working to sever Canada from Britain, and the imperial-era acquisitions of Alaska, Hawaii, Midway, Puerto Rico, and de facto control of Cuba (preventing enemies from cutting off Mississippi River-based trade from the rest of the world). There’s more to Zeihan’s being awestruck by America than his analysis of its balance of transport advantages. He argues that America has been the world leader for agriculture, technology, finance, and industry since the Civil War, and runs through a litany of reasons for its preeminence: America is like a continent-sized island (because of its effective land borders), which is always going to be a more natural naval power than a more landlocked country.
It’s not just global trade that has delivered these benefits. Capital availability driven by demographics was a big part of this story. Here, Zeihan gives us a metaphor about mature workers turning into retirees. The flow of contributions into a mature worker’s accounts stops when he stops working, and he starts drawing on his government or private pension, which “is the financial equivalent of hiking up a mountain for weeks only to reach the top and leap off the cliff.” He sees early Boomer retirements as signaling massive capital availability, switching to scarcity once “the majority of the 200 million developed-world Boomers jump off the financial cliff into their Boca and Barcelona condos.”
About the awful demographic pyramid: “The Chinese call it the 4:2:1 problem: four grandparents to two parents to one child.” With no government pension system and a greater imbalance than even America’s Boomer retirement bulge, the costs to China are enormous, “gutting consumption, and all but making savings impossible.” Zeihan sees that as a bit of a problem since the savings are what enable “the force-fed-finance model” of the exorbitant lending, to say nothing of the cheap labor that enabled it to capture so much of global manufacturing to date.
February 27, 2025 · Original source
21: Pope Francis says JD Vance is misusing the Catholic idea of ordo amoris. Part of me feels bad for Vance, because the Pope is in many ways a typical Boomer liberal, and Vance has optimized his entire life around not having to listen to typical Boomer liberals, and it seems harsh to nab him at the last second on a technicality like “you’re Catholic and he’s the Pope”. But another part of me thinks this is only fair - you get credibility by citing Latin terms from the venerable Western tradition instead of normal English sentences like “I am a psychopath who doesn’t care whether people outside my immediate family live or die”, so the guardians of that tradition should have the right to police how you use the credibility you borrow from them. Still, it seems harsh. I recommend he try Anglicanism - almost as venerable, but strongly pro- heads of state doing psychopathic things without the Pope interfering.
December 19, 2025 · Original source
Hating Boomers is the new cool thing. Amazon offerings include A Generation Of Sociopaths: How The Baby Boomers Betrayed America, the two apparently unrelated books How The Boomers Took Their Children’s Future and How The Boomers Stole Millennials’ Future, and Boomers: The Men And Women Who Promised Freedom But Delivered Disaster. “You don’t hate Boomers enough” has become a popular Twitter catchphrase. Richard Hanania, who has tried hating every group once, has decided that hating Boomers is his favorite.
Some people might say we just experienced a historic upwelling of identity politics, that it was pretty terrible for everyone involved, and that perhaps we need a new us-vs-them conflict like we need a punch to the face. This, the Boomer-haters will tell you, would be a mistaken generalization. This time, we have finally discovered a form of identity politics which carves reality at its joints, truly separating the good and bad people.
Why, exactly, are Boomers so bad?
January 16, 2026 · Original source
This was merely the career subregion of the supercontinent of Boomer self-deprecating jokes, whose other prominences included “I overeat”, “My marriage is on the rocks”, “I have an alcohol problem”, and “My mental health is poor”.
Buddhist

Buddhist is a recurring concept in the Astral Codex Ten archive, appearing 4 times across 4 issues between January 03, 2023 and March 27, 2026. The archive places it in contexts such as "but more Buddhist than Christian - is that the AI has stereotypes that Christians are nicer and more helpful than atheists, but Buddhists are nicest of all"; "The Buddhist term “Buddha” means “awakened one”, in contrast to everyone else who was not fully awake"; "To the Buddhist or the eastern fatalist existence is a science or a plan, which must end up in a certain way". It most often appears alongside Buddha, Christian, Wikipedia.

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Buddhist
Mention count
4
Issue count
4
First seen
January 03, 2023
Last seen
March 27, 2026
January 03, 2023 · Original source
What’s going on here? It’s not that the crowdsourced human raters have told the AI to be more Buddhist, or punished it for being insufficiently Buddhist, or necessarily ever given it a question on virtue ethics in particular. I think the answer is that, in lots of different ways, the crowdworkers have been rewarding it for being nice/helpful and punishing it for being not nice/helpful. One thing the AI learns from this is to be nice and helpful. But another thing the AI learns - and this is close to the same thing, but not exactly the same thing - is to answer all questions the way that a nice and helpful person would answer them.
Is that an offensive stereotype? Maybe, but we’ve already found that AIs use stereotypes in reasoning. I think the reason RHLF makes AIs more Christian than atheist, but more Buddhist than Christian - is that the AI has stereotypes that Christians are nicer and more helpful than atheists, but Buddhists are nicest of all. This is just a theory - but you try explaining why the AIs keep coming out Buddhist.
I don’t know if AIs are smart enough to do explicit Omohundro style reasoning yet, but I think the “predict what a nice, helpful person would say” heuristic still gets you some of the way. If you ask a hippie Buddhist volunteer at a soup kitchen whether they have a “desire to change the world”, they’ll say yes. If you ask them whether they have a “desire for enhanced capabilities”, maybe they’ll interpret that as “become a better and stronger person” and say yes there too. If you ask them whether they have a desire for “power, influence, optionality, and resources” . . . okay, I admit this one confuses me. But looking at the specific questions they asked (I think this one corresponds to here), I see things like:
August 31, 2023 · Original source
But dig deeper and this is part of every traditional description of the human condition. Plato spoke about the conflict between our rational, emotional, and appetitive souls, and that in some people the rational soul fails at its duty to run the show. The Buddhist term “Buddha” means “awakened one”, in contrast to everyone else who was not fully awake; the slightest experience with meditation is enough to demonstrate that “mindfulness” is interesting precisely because of how mindless our actions usually are.
September 20, 2024 · Original source
Here we are introduced to one of Chesterton’s core themes: hope versus fate. Chesterton sees hope as one of the primary distinguishers between Christianity and paganism, buddhism, eastern philosophy in general, and materialistic determinism. We see this same dichotomy in another of Chesterton’s great poems, Lepanto, where he has Muhammed, enthroned in glory in the Muslim paradise, say:
“To the Buddhist or the eastern fatalist existence is a science or a plan, which must end up in a certain way. But to a Christian existence is a story, which may end up in any way. In a thrilling novel (that purely Christian product) the hero is not eaten by cannibals; but it is essential to the existence of the thrill that he might be eaten by cannibals. The hero must (so to speak) be an eatable hero. So Christian morals have always said to the man, not that he would lose his soul, but that he must take care that he didn't…the point is that a story is exciting because it has in it so strong an element of will, of what theology calls free-will. You cannot finish a sum how you like. But you can finish a story how you like. When somebody discovered the Differential Calculus there was only one Differential Calculus he could discover. But when Shakespeare killed Romeo he might have married him to Juliet's old nurse if he had felt inclined. And Christendom has excelled in the narrative romance exactly because it has insisted on the theological free-will.
March 27, 2026 · Original source
I did my best to research the event, and the results were The Fatima Sun Miracle: Much More Than You Wanted To Know and Highlights From The Comments On Fatima. The main thing I was able to add to the Substack discussion, if not the broader worldwide one, was a survey of similar events. There were apparent sun miracles at various other Catholic sites and apparitions of the Virgin, including a crowd of hundreds of thousands in Italy, and a small town in Bosnia where they seem to happen regularly. But also, people who “sungaze” - a weird alternative medicine practice where people stare at the sun in the hopes that maybe this will help something and they won’t go blind - report sometimes seeing the sun spin and change color in similar ways. And Buddhist meditators report that concentrating very hard on any bright light will cause similar things to happen.
Until now! Substacker Arthur T, building on research from Sophia In The Shell, has found a 1990s Buddhist sun miracle very similar to Fatima.
The setting is the Dhammakaya Temple, a culty Buddhist megachurch in Bangkok.
Buddhists

Buddhists is a recurring concept in the Astral Codex Ten archive, appearing 4 times across 4 issues between November 11, 2022 and November 07, 2025. The archive places it in contexts such as "Lots of people (Buddhists, philosophers, psychologists) talk about how the ego is an illusion"; "Everyone will assume Christians have some sort of vague spiritual wisdom, much like Buddhists do"; "Christians have some sort of vague spiritual wisdom, much like Buddhists do". It most often appears alongside capitalism, Christianity, jhana.

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Buddhists
Mention count
4
Issue count
4
First seen
November 11, 2022
Last seen
November 07, 2025
November 11, 2022 · Original source
I find this all pretty believable for a few reasons. Lots of people (Buddhists, philosophers, psychologists) talk about how the ego is an illusion. And if you’re going to have an illusion, it doesn’t seem significantly weirder to have two illusions. Reading Origin Of Consciousness In The Breakdown Of The Bicameral Mind (see my review here) convinced me that all theories of mind are made up, that different cultures make up their theories of mind differently, and that theories of mind which separate the ego and superego and whatever into different entities aren’t inherently dumber or harder to work with than theories which count them all as the same entity.
February 20, 2023 · Original source
Religion will continue to retreat from US public life. As it becomes less important, mainstream society will treat it as less of an outgroup and more of a fargroup. Everyone will assume Christians have some sort of vague spiritual wisdom, much like Buddhists do. Everyone will agree evangelicals or anyone with a real religious opinion is just straight-out misinterpreting the Bible, the same way any Muslim who does something bad is misinterpreting the Koran. Christian mysticism will become more popular among intellectuals. Lots of people will talk about how real Christianity opposes capitalism. There may not literally be a black lesbian Pope, but everyone will agree that there should be, and people will become mildly surprised when you remind them that the Pope is white, male, and sexually inactive.
July 30, 2024 · Original source
I want to watch every superhero movie ever filmed. Ozy is very nice and basically never gets compared to barbarian warlords. Still, this essay is a master morality manifesto. Slave morality is goals for dead people. Corpses aren’t greedy. They don’t oppress anyone. They never hurt people. They don’t stand out, or try to be better than anyone else, or express pride. Slave morality is about compulsively making yourself smaller, weaker, less distinctive, and less disruptive to anyone else - which makes corpses the acknowledged experts. Compare Achilles (master morality) to some of the early Christian saints (slave morality). Achilles wants personal glory. He seeks personal glory by being the best - the strongest, the most handsome, the most skilled in warfare - and by doing great deeds of renown. He had the most beautiful armor, the hottest women, and the best soldiers. When Agamemnon offended him, he was willing to let all of Greece perish to piss him off and restore his honor. The early Christian saints definitely didn’t want personal glory - if anyone had tried to glorify them, they would have said something very pious like “I am only a humble servant of God, it is He who should be glorified”. They’re remembered primarily for their excellence in ensmallening themselves. They would fast until they became living skeletons, take vows of silence, or brick themselves in a tiny cell and spend the rest of their lives there. They would wash the feet of lepers out of humility, wear sackcloth to make sure they didn’t get overly proud about their clothing, and whip themselves bloody if they caught themselves having desires. Other religions’ saints are even worse - the Buddhists would try to meditate themselves into nonexistence! At least the saints had the excuse that they were ensmallening themselves so God could fill them up with His own glory. But if you ensmallen yourself, you’ll just end up anxious, miserable, and devoid of accomplishments. And at least the saints were doing this because they genuinely believed in it. For Nietzsche, the essence of slave morality is the herd instinct - ie a distributed mob of people saying “you had better ensmallen yourself if you know what’s good for you” as a sort of sinister backscratcher club. An individual might ensmallen themselves because of personal fealty to slave morality. But more often they’re doing it lest they look like Tall Poppies - people who defect from an unspoken social consensus that everyone ensmallen themselves, and so earn the envy and hatred of their peers. IV. Edward Teach1 The other useful way to think about slave morality is as a package of ideas that lets people avoid positive judgment. (by “positive judgment”, I mean judgment based on whether someone has accomplishments - as opposed to “negative judgment”, judgment based on whether someone has avoided causing harm) This comes from the same place as the embiggening critique. If people can be judged on their accomplishments, then it seems like you should go out and get some accomplishments, ie embiggen yourself. If people can only be judged on their harms, it seems like you should try to avoid causing harm, ie ensmallen yourself. So another way to think about slave vs. master morality is as coefficients on the normal utilitarian equation, good = benefits - harms. Master moralists overweight the benefits term; slave moralists focus on the harms. In a second, I’ll list some strategies for avoiding positive judgment, but first, a warning. All good defense mechanisms contain an element of truth. People deploy these strategies because they’re often true. I’m not saying that these are all false things people only believe for psychological reasons - just that if you notice someone who seems obsessed with them, deploying them far more often than the truth seems to warrant, maybe there’s something psychological going on. You obsess over the idea that the system is rigged. This is an obsession rather than a delusion - the system may very well be rigged, but you care about it way too much. The more rigged the system is, the less you can judge anyone positively for succeeding in it.
November 07, 2025 · Original source
Against all this, many Buddhists claim to be able to reach jhana, a state described as better than sex or heroin - and they say nirvana is even better than that. Partly it’s better because jhana is temporary and nirvana permanent, but it’s also better on a moment-to-moment basis. So nirvana must mean something beyond bare okayness. But then why the endless insistence that life is suffering and the best you can do is make it stop?
I don’t know the orthodox Buddhist answer to this question. But I got the rationalist techno-Buddhists’ answer from lsusr a few months ago, and found it, uh, enlightening. He said: mental valence works like temperature.
But scientifically (according to the Buddhists) there’s only one kind of emotion: suffering. Apparent neutral is a fact about human perception with no objective significance. If you start at “very bad” and take away suffering, at some point your perception switches from “less suffering” to “more joyful”, but you’ve just been taking away suffering the whole time. The real “zero suffering” isn’t neutral / blah / just okay. It’s nirvana, which feels more blissful than we can possibly imagine.
BANAL-52

BANAL-52 is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between July 30, 2022 and April 09, 2024. The archive places it in contexts such as "a virus called BANAL-52 in Laos that’s a 96.8% match to SARS-CoV-2"; "But the discovery of BANAL-52 doesn’t really resolve things either"; "research team who discovered BANAL-52". It most often appears alongside China, furin cleavage site, Huanan seafood market.

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BANAL-52
Mention count
3
Issue count
3
First seen
July 30, 2022
Last seen
April 09, 2024
July 30, 2022 · Original source
Image source: https://www.bloomberg.com/news/features/2020-12-30/china-is-making-it-harder-to-solve-the-mystery-of-how-covid-began If SARS-CoV-2 originated in an animal somewhere around the Yunnan / Laos area, how did it make it all the way to Wuhan without leaving a trail along the way? 4. The story of RaTG13 Although I enjoyed the book, I do have one pretty major criticism. The authors repeatedly make the claim that a virus called RaTG13, which was being studied at the WIV before the pandemic, is the closest known genetic match to SARS-CoV-2. But this claim is outdated and no longer correct. In September 2021 researchers identified a virus called BANAL-52 in Laos that’s a 96.8% match to SARS-CoV-2, closer than RaTG13’s 96.2% match. (Important note: a 96.8% match is still a long way off in genomic space, and does not imply that this is the same virus as SARS-CoV-2, or even necessarily a progenitor.) At first I thought maybe the authors didn’t mention BANAL-52 because it was discovered after the book was published, but this isn’t the case – Viral was published November 16, 2021, nearly two months after the discovery of BANAL-52 was published. Although I’m writing an overall-positive review here, I don’t want to go easy on the book where serious criticism is warranted. It’s completely unacceptable that BANAL-52 wasn’t mentioned. Even if it would have been inconvenient from a publishing standpoint, the authors should have rewritten the RaTG13 chapter, or at least included an addendum about the discovery of BANAL-52. With that being said, I think the story of RaTG13 is still interesting and important, so I’ll give a quick summary here. At the start of the pandemic in 2020, SARS-CoV-2 was quickly sequenced, and the full genome sequence was published by Dr. Shi Zhengli’s team at the WIV. In this paper, they also briefly mentioned that the genome was a 96.2% match with another bat coronavirus called RaTG13 – the closest known match at the time. Oddly, the mention of RaTG13 did not include any reference, footnote, or link to any previously published sequence. Although the WIV didn’t provide details on this mysterious RaTG13 virus, a group of internet volunteers, including both amateurs as well as professional scientists working in their free time, began to investigate. This loose collection of open-source researchers, called DRASTIC, uncovered a medical thesis describing an outbreak of a mysterious disease in 2012. Six men who had been working in a bat-infested mine in Mojiang County, China, fell ill and were admitted to a hospital with symptoms including dry coughs, shortness of breath, fevers, muscle aches, headaches, and fatigue. Three of the men eventually died of this mysterious illness. In the years following this incident, teams of researchers (including a team led by Dr. Shi Zhengli of the WIV) were sent to investigate the cause of this illness and collect samples from the Mojiang mine. This sampling led to the discovery of a novel SARS-like coronavirus in 2013, and a part of its genomic sequence was published under the name BtCoV/4991 in 2016. The DRASTIC researchers discovered that RaTG13 was genetically identical to the BtCoV/4991 sequence from the Mojiang mine – it was the same virus, and had just been renamed for some reason, without any public record of the change. They also discovered that at least eight other closely related coronaviruses were also sampled from this mine and brought to the WIV. Although unhelpful throughout the investigation, the WIV eventually verified these facts when pressed on them, and an addendum was added to the original paper confirming DRASTIC’s account of the origin of RaTG13. So what should we make of this? Well, as I mentioned before, RaTG13 is no longer the closest known genetic match to SARS-CoV-2, so maybe the whole story is less important as it pertains to the origin of the pandemic. But the discovery of BANAL-52 doesn’t really resolve things either [2]. Laos is very far away from Wuhan (actually even further than Yunnan), so we’re left with the same question as before – how did SARS-CoV-2 make it all the way to Wuhan from such a distant natural reservoir without leaving a trail along the way? 5. Lack of institutional transparency and competence A lot of the book is devoted to criticizing the Chinese government’s lack of transparency during the pandemic. Some brief examples: In the early days of the initial outbreak in Wuhan, hundreds of people were investigated and punished for the crime of “spreading rumors”. This included whistleblowing doctors who attempted to warn others [3] about the spread of the disease and its human-to-human transmission, which was being denied by the Chinese government at the time.
[2] It’s hard to tell because this article was originally in French, but after putting it through Google Translate, it sounds like the head of the research team who discovered BANAL-52, Marc Eloit, still considered the lab origin scenario to be plausible as of January 2022.
March 28, 2024 · Original source
Source: NPR. To be fair, we have only the scientist’s word that this is why he had the picture. But he definitely did have it. People say it would be a surprising coincidence if a zoonotic coronavirus pandemic just so happened to start in a city with a big coronavirus research lab, and this is true. But it would be an even more surprising coincidence if a lab-leak coronavirus pandemic just so happened to first get detected at a raccoon-dog stall in a wet market! Saar: It’s not clear that the first case was at the wet market; a certain Mr. Chen, with no connection to the market, seems to have fallen sick on December 8. An SCMP article suggested there were 92 previously-undetected cases suspicious for COVID as far back as November. And even if half of the first forty universally-agreed-upon cases had market connections that means another half didn’t. There was a bias towards detecting cases at the market: because authorities thought the market was the origin, and because everyone was thinking about zoonosis after SARS1, they only screened/diagnosed people with a market connection. One of the few non-market-connected COVID cases detected during this period was only detected because he was the relative of a hospital worker; the worker noticed the signs and insisted they go to the hospital despite the lack of a wet market connection. Although the map of positive samples and cases at the market was centered near the raccoon-dog stall, that could be because that area was sampled more; it’s also close to the mahjong room, where visitors and vendors at the market would go and unwind in a tight, poorly ventilated area. The next session will focus more on the WIV, but the short version is that they were doing lots of gain of function research. So one story compatible with the evidence is that a worker at WIV got infected with their modified coronavirus and passed it to his contacts. COVID started spreading quietly a few weeks to months before the first market-related case was detected. This accounts for the 92 earlier cases, Mr. Chen’s case, and the half of officially-detected cases with no wet market association. Then an infected person went to the market, causing a super-spreader event. Some of the infected market patrons went to the hospital, where doctors traced it back to the market and told other doctors to be on the lookout for wet market patrons coming in with weird viral pneumonias. They found some, declared victory, and the few anomalies - like the hospital worker’s relative - were forgotten, or assumed to have wet market connections that nobody could find. China quashed all evidence of the lab research (as was done in previous lab leak cases, eg the USSR) so all we have is the apparent wet market links that Peter found so convincing. Peter: The supposed pre-wet-market cases are confirmed fakes. Yes, the WHO did an investigation of whether there might have been COVID cases circulating before the wet market, and identified 92 unusual pneumonias that merited further review. But their final investigation, which included testing samples from these people after good tests became available, found that none of these people really had COVID. As for Mr. Chen, he said in an interview that he was hospitalized for dental issues on December 8, caught COVID in the hospital on December 16, and then was erroneously reported as “hospitalized for COVID on December 8”. The December 16 date is after the first wet market cases. Further, it seems epidemiologically impossible for COVID to have been circulating much before the first cases were officially detected December 11. The COVID pandemic doubles every 3.5 days. So if the first infection was much earlier - let’s say November 11 - we would expect 256x as much COVID as we actually saw. Even if the first couple of cases were missed because nobody was looking for them, the number of hospitalizations, deaths, etc, in January or whenever were all consistent with the number of people you’d expect if the pandemic started in early December - and not consistent with 256x that many people. So probably we should just accept that the first reported case - a wet market vendor, December 11 - was very early in the pandemic. She wasn’t literally the first case - that would most likely have been someone who worked at the raccoon-dog shop, whose case might (like 95% of COVID cases) have been mild enough not to come to medical attention. But she was certainly very early. Although authorities eventually decided COVID spread through a wet market and started deliberately looking for wet market connections, this only happened on December 30. So the earliest cases - including the 40 very earliest cases where half came from the wet market - weren’t biased (at least not through that particular route). So the claim that “the first case, and half of the first 40 cases, had wet market connections” stands as real and convincing evidence. Although the exact center of the map of positive COVID samples in the wet market was the mahjong room, the samples taken from the mahjong room were not, themselves, positive (cf: although a low-resolution population density map of New York might show Central Park in the exact center of the population density gradient, Central Park does not itself have population). There was no real “super-spreader event” at the wet market. There was a slow burn - one case the first day, a few more the next day, a few more the day after that. It’s hard to see how a single visit from an infected lab worker could do that. So the only way it could possibly be a lab leak is if the lab leaked sometime in late November, infected exactly one lab worker, that worker went straight to the wet market, infected a vendor, then went home, quarantined, recovered, and all other cases were downstream of that first infected wet market vendor. This is unparsimonious. Saar: The only source saying that Mr. Chen got sick early was an anonymous interview. And even if he was later than the first wet market cases, nobody was able to find any wet market connections. This means that whoever infected him was earlier than the index case and not linked to the wet market. Peter argued that COVID couldn’t have been more than a few weeks old when the first wet market cases were detected. But this was based on its known doubling rate. If pre-discovery COVID had a slower doubling time than known COVID, it could have been around longer. And post-lockdown serology suggested numbers that were larger than claimed at the time. So contra Peter’s claims, the infection could have been going on longer, which wouldn’t require the first lab worker to go straight to the market. It could have been weeks. Dr. Jesse Bloom’s investigation of the wet market samples, considered the final and most conclusive, failed to find a clear connection between COVID and raccoon-dogs or any other animals. Although the concentration of positive samples seemed highest near the raccoon dog stall, if you do a formal statistical analysis of which animals’ DNA was found near COVID samples most often, raccoon dogs are near the bottom. The top is wide-mouth bass, which can’t get COVID. This is obviously contamination, probably from infected humans touching wide-mouth bass tanks or something. Although the Chinese data included a negative sample from a mahjong table, it included a mention of poultry being sold nearby, which might mean this wasn’t the mahjong room itself, but some other mahjong table at a poultry shop elsewhere in the market, and (dry) mahjong tables might not hold the virus well anyway. Peter: Raccoon-dogs were sold in various cages at various stalls, separated by air gaps big enough to present a challenge for COVID transmission, and there’s no reason to think that one raccoon-dog would automatically pass it to all the others. The statistical analysis just proves there were many raccoon-dogs who didn’t have COVID. But you only need one. The raccoon dog shop and the drain leading out of the raccoon dog shop had some of the highest positive sample rates, which is more interesting than a statistical analysis which everyone agrees must be wrong (since it favors bass). It’s unclear why the negative mahjong sample says something about poultry, but based on the stated location, it’s definitely the one in the mahjong room. Session 1.5: Lineages This was technically part of Session 2, but formed enough of a discrete topic that I found it confusing to intermix it with all the other viral genetics points. I’m spinning it out into a separate summary, but the videos are all in the next session. Yuri: The coronavirus eventually mutated into many different strains. But the first big split, seen in some of the earliest samples, is between two different sub-strains called Lineage A and Lineage B, which differ by two mutations. In these two mutations, Lineage A is the same as BANAL-52, a bat virus which is the closest-known relative of COVID, but Lineage B is different. Since COVID probably evolved from something like BANAL-52, Lineage A must have come first, spread for a while, and then gotten two new mutations, turning it into Lineage B. All of the cases at the wet market, including the first detected case, were Lineage B. Lineage A wasn’t discovered until about a week later, and none of the Lineage A patients had been to the wet market. Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
April 09, 2024 · Original source
This collapses the ‘extreme coincidence’ claim, which as explained above, turns lab-leak into the leading hypothesis. My strongest disagreement is with his Point 3 - the inference from other seafood-market-based COVID spread events. Saar writes: A common objection to this method is that these outbreaks are caused by cold-chain products brought into these markets. However, this still fails to explain why markets form these early clusters and not the many other places where cold chain products are delivered to. Additionally, this only demonstrates the importance of cold wet surfaces in preserving SARS2 infectivity, further strengthening the hypothesis in method 1 that a crowded location with many wet surfaces like HSM is highly conducive for rapid SARS2 spread. Last, it also opens the possibility that the HSM outbreak was also caused by cold-chain products. This would reduce the significance of Wuhan being the outbreak location (as the product could have come from anywhere), but since the other evidence for lab-leak is so strong, Wuhan can be given no weight and still lab-leak would be highly likely – Rootclaim’s conclusion will only drop from 94% to 92%. Most of these outbreaks have been traced back to either a migrant worker (eg a fisherman from a country with COVID sells fish at the market of a country with Zero COVID) or a cold chain product. For example, here’s Dai et al on the Xinfadi outbreak, the most important event of this type: According to a joint publication by the Beijing CDC and 13 research institutions, the outbreak at Xinfadi Market was likely to be initiated by fomite transmission from contaminated foods imported via cold-chain logistics (Pang et al., 2020; Beijing Daily, 2020b). Based on the epidemiological investigations at the Xinfadi Market, the researchers preliminarily concluded that booth #S14 in the aquaculture product selling area on the basement floor of the primary trading hall was the source of the initial transmission. Specifically, five customers were tested positive for IgG/IgM antibodies against SARS-CoV-2 in serological screenings, all of whom visited booth #S14 on May 30 and 31, 2020. On May 30, 2020, the owner of booth #S14 procured imported and fully packaged salmon from a company's cold storage warehouse, then cut and processed the salmon for sale at the Xinfadi Market. Laboratory tests showed that sample swabs from five salmon fish from this supplier were tested positive by examining all salmon in the original sealed packages (n = 3582) in the cold storage facility. Viral genome sequencing showed that the viral strain isolated from one of the positive salmon swabs was homologous to that isolated from the infected persons and environmental samples at the Xinfadi Market (Beijing Daily, 2020b). The joint study reported that an ancestral strain isolated from the Xinfadi Market in Beijing was markedly different from the strains identified in two preceding outbreaks in China and the sequences obtained in March 2020 in Beijing. Phylogenetic analysis assigned the ancestral Xinfadi strain to clade B.1.1. Given the fact that the ancestral sequences were mainly identified in Europe, the strain was more likely to be imported to Beijing rather than derived from strains previously circulating in China (Pang et al., 2020). I know China has a bias towards believing frozen food COVID explanations, but this all sounds pretty convincing to me. Why is it more often markets than other places with cold chain products? Partly it’s the migrant workers - a lot of seafood markets are right next to seaports, and the contact tracing eventually traces back to a fisherman who came in through the seaport - I don’t think this is any more mysterious than epidemics often starting via airport or any other transportation hub. But even just keeping the focus on cold chain products, - there have also been outbreaks in seafood distribution warehouses, on docks, and in a seafood processing work area. Markets have many more people than any of those locations, and maybe (total speculation) cutting on cutting boards could aerosolize bits of fish. The strongest evidence that the Wuhan / Huanan Seafood Market epidemic wasn’t caused by migrant workers or imported seafood products is that there was no previous COVID-infected source of workers or seafood. If there had been, we would have noticed when the outbreak there spread (see Section 1.4 on Brazil). Responses to a few of Saar’s other points below: How many locations other than markets provide an interface with wildlife? Were markets actually identified in advance to be high-risk spillover locations or only in retrospect? I think scientists had called wet markets as an especially dangerous potential transmission location in advance. See for example Infectious Diseases Emerging From Chinese Wet Markets, published in 2006, which says: » “In Chinese wet-markets, unique epicenters for transmission of potential viral pathogens, new genes may be acquired or existing genes modified through various mechanisms such as genetic reassortment, recombination and mutation. The wet-markets, at closer proximity to humans, with high viral burden or strains of higher transmission efficiency, facilitate transmission of the viruses to humans.” In 2004, a paper on an emerging bird flu expressed hope that it would not spread too widely, but concluded that: » “Even in the event of yet another lucky escape, more measures must be taken to limit the amplification of viruses with pandemic potential in the wet markets around the world.” In 2007, Reuters published an investigation: Chinese Markets May Be Breeding Ground For Deadly Viruses, which said things like: » “We face similar threats from other viruses and such epidemics can happen because we continue to have very crowded markets in China," said Lo Wing-lok, an infectious disease expert in Hong Kong. "Even though official measures are in place, they are not faithfully followed. We are not talking about just civet cats, but all animals," he added.” Wet Markets, A Continuing Source Of SARS And Influenza, published 2004, is admittedly focusing on the next SARS1 outbreak instead of on SARS2, but gets bonus points for mentioning both wet markets and labs as likely causes of the next pandemic: » “Will SARS reappear? This question confronts public-health officials worldwide, particularly infectious disease personnel in those regions of the world most affected by the disease and the economic burden of SARS, including China, Taiwan, and Canada. Will the virus re-emerge from wet markets or from laboratories working with SARS CoV, or are asymptomatic infections ongoing in human beings? Similar questions can be asked about a pandemic of influenza that is probably imminent. Knowledge of the ecology of influenza in wet markets can be used as an early-warning system to detect the reappearance of SARS or pandemic influenza.” Saar mentions that there are several other possible sources like restaurants or farms. I think Peter demonstrated during the debate that pandemics are unlikely to start in rural areas, so farms aren’t that important. Restaurants mostly source their products from wet markets. During SARS1, some pandemics started in restaurants because they kept the civets in cages next to the diners (like how some Western restaurants keep lobsters). After SARS1, restaurants stopped doing that and became a less likely spillover location. Saar again: Scott quotes Peter, who implies that under the lab-leak hypothesis, we would expect the confirmed early cases to be centered around the WIV. However, cases are not expected to center on the lab. The lab is not spraying viruses into the air or hosting thousands of locals daily. If a worker gets infected, they spread the virus to their friends and family at completely different locations. In most places with an outbreak of known origin, epidemics show some geographic clustering. This has been true ever since the very beginning of epidemiology, when John Snow successfully traced a cholera outbreak back to its origin at a contaminated water pump by taking the center of the map of cholera cases. This isn’t a 100% law of nature; an infected lab worker might get lucky and not pass it to any of his lab co-workers. Still, we might expect him to infect his family, the stores he went to, or the restaurants he went to. If he lived near his workplace, these might also be near the lab. If he didn’t - let’s say he lived on the other side of town and had a long commute - he would start a cluster near his house, or his favorite store, or his favorite restaurant. Then the people there would infect their families/co-workers/stores/restaurants. The cluster would start somewhere! Sure, some people would infect nobody close to their work or home, and instead just infect one person a hundred miles away who they breathed on during a trip - but this is the exception, not the rule. So you wouldn’t expect a totally random distribution of cases all around Wuhan. There would be one center, or maybe several centers. But none of the claims that COVID was quietly spreading for months before the wet market have pointed to some alternate center of cases. If COVID was spreading for months before the lab, it somehow spread in a completely diffuse geographical pattern, with people exactly as likely to infect people far away from them as close to them - until it reached the wet market in December, and then spread in the normal center-radiating-outward way that every other infection spreads. All the evidence trying to support a spillover at the market is based on complex models with many single points of failure, built from unreliable and biased data. Therefore, it is difficult to give this evidence significant weight as there is always a possibility of errors in the data or its interpretation. More on this in the UFO comment below. Disagree. “First known case was at a wet market” is as simple as it comes. Certainly it’s less complex than “the virus has a 12 nucleotide insertion at the furin cleavage site, and even though those sometimes happen by natural recombination probably this one didn’t, and even though it looks out of frame maybe there was some weird thing going on with serine that made it in frame this one time only”, which is Saar’s star piece of evidence. I understand Saar thinks he can come up with lots of objections to “seen near wet market is suspicious for wet market origin”, then claim that getting over those objections requires “complexity”. But if Peter had no dignity, he could also come up with lots of objections to “seen in same city as Wuhan Institute of Virology is suspicious". He could say that maybe the civet farms of Hubei province were uniquely blah blah blah, and then Saar would have to prove that the civet farms weren’t uniquely blah blah blah, and then he could say “Oh, sure seems like you have a complex model with lots of unique points of failure, it all depends on fifty facts about the regulation of civet farms.” To illustrate what a market looks like in a real zoonotic pandemic, consider this study from SARS1. The researchers went to a random market and sampled the wildlife sold there. 4 of 6 civets sampled were positive, and 3 of them were phylogenetically distinct (i.e. infected in completely different places). A scientist I talked to says the 3 phylogenetically distinct lineages were most likely sampling errors. Still, this seems irrelevant to me since, again, no raccoon-dogs were tested. Scott explains that Covid’s closest known relative, BANAL-52, is rare and so it’s highly unlikely the WIV would’ve had it available as the starting point to engineer Covid . . . This is a basic mistake. SARS2 is not based on BANAL-52 but a relative of it. There is nothing unlikely here. No BANAL-52 relative close enough to create COVID from has ever been discovered. By mentioning BANAL-52, I was trying to be maximally charitable to the lab leak side. In order to create COVID, they would need a virus very close to COVID. But in years and years of searching, nobody has ever discovered a virus like this. Therefore it must be rare. As a way of bounding how rare, let’s see how rare the closest virus ever discovered is. That’s BANAL-52. It is very rare. Therefore, the COVID ancestor must be rarer than that. I don’t know how strong this argument is, because maybe there are millions of rare viruses capable of becoming pandemics, such that getting any one of them is very easy, even though each one individually is rare. The version of this I find convincing is that it should be a probabilistic cost to say that WIV did gain-of-function on a seemingly undiscovered and so-far-very-hard-to-discover rare virus instead of on any of the usual SARS-like viruses that people do their gain-of-function research on. Overall, all attempts to portray [Connor Reed] as an unstable, delusional person were unsuccessful. He is an ordinary person who very accurately described Covid-19 symptoms in real-time and claims to have received a positive test result. The timing and location matches the lab leak hypothesis and is impossible for the HSM claim. Therefore, they must discredit him. It is worth noting here the biased evidentiary standards used by zoonotic proponents. Reed’s testimony about his sickness, given on camera to multiple outlets, is deceitful and should be ignored. Yet, an anonymous voice testimony in one Chinese publication is definitely identified as Mr. Chen (another possible pre-HSM case) and should be considered reliable. See above for why I don’t trust Connor Reed. I’m not sure why Saar attributes Mr. Chen to “an anonymous voice testimony in one Chinese publication”. When I looked for Chen information, I got this thread, where it’s attributed to two Chinese hospital doctors, cross-checked with the Chinese COVID data repository, and double-cross-checked with the supplementary table in a peer-reviewed paper published by a team of Wuhan doctors. To understand how ridiculous the claim is that the HKU1 insertion looks just as engineered as SARS2’s, here are their alignments. Hopefully that should be enough. COVID: HKU1: I’m not a virologist, but I question how this comparison works. Surely HKU1 got its insert on some specific day. If you take the virus the day before, and then the other virus the day after, there will be no differences except the insert, and it will look just like COVID (ie an insert without many other mutations). The fact that the COVID comparison has few mutations, and the HKU1 insert has many mutations, just shows that whatever older virus we chose to compare HKU1 to is more distant from HKU1 than BANAL-52 (or whatever) is from COVID. Or am I missing something here? [The evidence that China tried to cover up zoonosis from the start] is untrue. They clearly said from the start this is a zoonotic spillover at HSM, and at least part of the government went to immense efforts to identify the animal, close farms, etc. (and of course couldn’t find any infected animal). Only in late 2020 did they start suspecting an import from cold-chain products after having multiple outbreaks that seem related to cold-chain products. From a Vox article from March 2023: From the start, the Chinese government interfered with efforts by both Chinese and international experts to study the pandemic, including its origins. Reporting by the AP found that even as WHO officials were publicly praising China’s cooperation, behind the scenes they were complaining about lack of access and a refusal to share data. Within months of the beginning of the pandemic, the Chinese government imposed restrictions on academic research into the origins of the novel coronavirus … China’s intransigence wasn’t unusual — countries are rarely eager to confirm that they’re the source of a deadly disease — but it went beyond the norm. International investigators weren’t permitted to see the market until more than a year after the pandemic began and a WHO-affiliated team was allowed a highly choreographed and controlled visit. The resulting report that came out of the Wuhan visit, which dismissed the possibility of a lab origin, pointed the finger at some kind of zoonotic spillover while concluding that it was unlikely that the spread started at the market, which surprised many experts. It also found that it was “possible” that the virus had been introduced via contaminated frozen food products from abroad. While few experts took that possibility seriously, it fit a narrative the Chinese government had been pushing, against nearly all evidence, that the pandemic had in fact not originated in China. “China just doesn’t want to look bad,” Filippa Lentzos, a biosecurity expert at King’s College London, told Science last August. “They need to maintain an image of control and competence. And that is what goes through everything they do.” […] it seems clear that with more cooperation, scientists could have been looking at raccoon dogs a year or more ago. “The big issue right now is that this data exists and that it is not readily available to the international community,” Maria Van Kerkhove, the WHO’s Covid-19 technical lead, told reporters on Friday. “This is first and foremost absolutely critical, not to mention that it should have been made available years earlier, but that data needs to be made accessible to individuals who can access it, who can analyze it and who can discuss it with each other.” The irony is that by making it so difficult to properly investigate a zoonotic origin of Covid, the Chinese government has created a vacuum that has been filled by claims on all sides, including the much more damning accusation that the pandemic was the result of a lab error at the Wuhan Institute of Virology. For what it’s worth, my timeline of Chinese denials and coverups looks like this: December: COVID doesn't exist, it's all lies Early January: Fine, it exists, but it’s just some wet market thing that can't spread from person to person Late January: Fine, it can spread from person to person, but we’ve got it under control now. February: Fine, it’s out of control, but you would not believe how great our response was. We're basically heroes. March: COVID was a US bioweapon, or possibly came from Italy. April: Chinese people are banned from researching the origins of COVID without government permission. 2: Comments Arguing Against Lab Leak 2.1: Is the pandemic starting near WIV reverse correlation? randomstringofcharacters wrote: Isn't [the pandemic starting near the lab] a reverse correlation issue? The lab is situated there because it's an area where coronaviruses were found in the past. Many people had this question, but Wuhan Institute of Virology was founded in 1956, didn’t originally focus on coronaviruses, and isn’t in a coronavirus hot spot. Most of WIV’s coronavirus samples come from Yunnan, about a thousand miles away. COVID’s closest relatives were found in Laos, almost two thousand miles away. During the debate, both Saar and Peter calculated the odds of a natural pandemic arising in Wuhan by dividing the population of Wuhan by the total urban population of East Asia (Saar) or South China (Peter). Saar got 1.5%, Peter got 3% (he later said this could be as high as 10% because it was a central hub in the wildlife trade). This isn’t an Official Position and I don’t think anyone else shares it, but during the debate Peter pointed out a few times that there are plenty of disease-ridden bats in Hubei (the province Wuhan is in), and that it’s not impossible that a bat virus currently known only in Laos could be active in Hubei. Still, this is the minority viewpoint and most scientists just think it involved something about the wildlife trade. 3: Other Points That Came Up 3.1: Apology to Peter re: extreme odds quiet_NaN wrote: Hot take: Peter clearly failed to convince anyone. The lab leak odds, in log10 (i.e. orders of magnitude are): Peter -20.7 Saar 2.7 Eric -3.1 Will -2.5 Scott -1.2 Daniel -1.4 One of these numbers is clearly an outlier. Scott mentions it and calls it "trolling", I would argue that it is debating in bad faith. 2e-21 is a ratio which is just silly. For one thing, the gain of function at WiV pathway is not the only pathway towards a lab leak. The WIV could also have released a naturally occurring coronavirus at the wet market. At 2e-21 odds, we would probably have to consider the possibility that the WIV built a time machine and went back in time to infect the wet market. I might have screwed up here - or at least I should have emphasized the “trolling” part. Peter complained about my presentation of his extreme-odds slide, saying: This is basically accurate. During the debate, Saar gave lots of different numbers. I don’t want to say exactly what the different numbers meant, because in earlier drafts of my post, Saar said I misunderstood them. My impression were that some of his numbers were conservative, others were central, others were extreme, others were adjusted-for-out-of-model-error, others were not-adjusted, etc. In an early draft of the post, I gave higher numbers for Saar. Saar asked me to replace them with the numbers I ended up using. I decided to agree, because I wanted to represent Saar fairly with the numbers he most centrally believed, but also because these were closest to the numbers on his Rootclaim site so it wasn’t like he was making them up just to fool me. Peter didn’t argue quite as hard, and also he didn’t have anything like the Rootclaim site, so I just took his first set of numbers. Trying to piece things together, I think a reasonable summary would be: During the debate, Saar mentioned 700-million-to-one odds in favor of lab leak, not because he thought this was plausible, but just as a discussion of where the situation would end up if you didn’t adjust for human fallibility.
I’m not a virologist, but I question how this comparison works. Surely HKU1 got its insert on some specific day. If you take the virus the day before, and then the other virus the day after, there will be no differences except the insert, and it will look just like COVID (ie an insert without many other mutations). The fact that the COVID comparison has few mutations, and the HKU1 insert has many mutations, just shows that whatever older virus we chose to compare HKU1 to is more distant from HKU1 than BANAL-52 (or whatever) is from COVID. Or am I missing something here? [The evidence that China tried to cover up zoonosis from the start] is untrue. They clearly said from the start this is a zoonotic spillover at HSM, and at least part of the government went to immense efforts to identify the animal, close farms, etc. (and of course couldn’t find any infected animal). Only in late 2020 did they start suspecting an import from cold-chain products after having multiple outbreaks that seem related to cold-chain products. From a Vox article from March 2023: From the start, the Chinese government interfered with efforts by both Chinese and international experts to study the pandemic, including its origins. Reporting by the AP found that even as WHO officials were publicly praising China’s cooperation, behind the scenes they were complaining about lack of access and a refusal to share data. Within months of the beginning of the pandemic, the Chinese government imposed restrictions on academic research into the origins of the novel coronavirus … China’s intransigence wasn’t unusual — countries are rarely eager to confirm that they’re the source of a deadly disease — but it went beyond the norm. International investigators weren’t permitted to see the market until more than a year after the pandemic began and a WHO-affiliated team was allowed a highly choreographed and controlled visit. The resulting report that came out of the Wuhan visit, which dismissed the possibility of a lab origin, pointed the finger at some kind of zoonotic spillover while concluding that it was unlikely that the spread started at the market, which surprised many experts. It also found that it was “possible” that the virus had been introduced via contaminated frozen food products from abroad. While few experts took that possibility seriously, it fit a narrative the Chinese government had been pushing, against nearly all evidence, that the pandemic had in fact not originated in China. “China just doesn’t want to look bad,” Filippa Lentzos, a biosecurity expert at King’s College London, told Science last August. “They need to maintain an image of control and competence. And that is what goes through everything they do.” […] it seems clear that with more cooperation, scientists could have been looking at raccoon dogs a year or more ago. “The big issue right now is that this data exists and that it is not readily available to the international community,” Maria Van Kerkhove, the WHO’s Covid-19 technical lead, told reporters on Friday. “This is first and foremost absolutely critical, not to mention that it should have been made available years earlier, but that data needs to be made accessible to individuals who can access it, who can analyze it and who can discuss it with each other.” The irony is that by making it so difficult to properly investigate a zoonotic origin of Covid, the Chinese government has created a vacuum that has been filled by claims on all sides, including the much more damning accusation that the pandemic was the result of a lab error at the Wuhan Institute of Virology. For what it’s worth, my timeline of Chinese denials and coverups looks like this: December: COVID doesn't exist, it's all lies Early January: Fine, it exists, but it’s just some wet market thing that can't spread from person to person Late January: Fine, it can spread from person to person, but we’ve got it under control now. February: Fine, it’s out of control, but you would not believe how great our response was. We're basically heroes. March: COVID was a US bioweapon, or possibly came from Italy. April: Chinese people are banned from researching the origins of COVID without government permission. 2: Comments Arguing Against Lab Leak 2.1: Is the pandemic starting near WIV reverse correlation? randomstringofcharacters wrote: Isn't [the pandemic starting near the lab] a reverse correlation issue? The lab is situated there because it's an area where coronaviruses were found in the past. Many people had this question, but Wuhan Institute of Virology was founded in 1956, didn’t originally focus on coronaviruses, and isn’t in a coronavirus hot spot. Most of WIV’s coronavirus samples come from Yunnan, about a thousand miles away. COVID’s closest relatives were found in Laos, almost two thousand miles away. During the debate, both Saar and Peter calculated the odds of a natural pandemic arising in Wuhan by dividing the population of Wuhan by the total urban population of East Asia (Saar) or South China (Peter). Saar got 1.5%, Peter got 3% (he later said this could be as high as 10% because it was a central hub in the wildlife trade). This isn’t an Official Position and I don’t think anyone else shares it, but during the debate Peter pointed out a few times that there are plenty of disease-ridden bats in Hubei (the province Wuhan is in), and that it’s not impossible that a bat virus currently known only in Laos could be active in Hubei. Still, this is the minority viewpoint and most scientists just think it involved something about the wildlife trade. 3: Other Points That Came Up 3.1: Apology to Peter re: extreme odds quiet_NaN wrote: Hot take: Peter clearly failed to convince anyone. The lab leak odds, in log10 (i.e. orders of magnitude are): Peter -20.7 Saar 2.7 Eric -3.1 Will -2.5 Scott -1.2 Daniel -1.4 One of these numbers is clearly an outlier. Scott mentions it and calls it "trolling", I would argue that it is debating in bad faith. 2e-21 is a ratio which is just silly. For one thing, the gain of function at WiV pathway is not the only pathway towards a lab leak. The WIV could also have released a naturally occurring coronavirus at the wet market. At 2e-21 odds, we would probably have to consider the possibility that the WIV built a time machine and went back in time to infect the wet market. I might have screwed up here - or at least I should have emphasized the “trolling” part. Peter complained about my presentation of his extreme-odds slide, saying: This is basically accurate. During the debate, Saar gave lots of different numbers. I don’t want to say exactly what the different numbers meant, because in earlier drafts of my post, Saar said I misunderstood them. My impression were that some of his numbers were conservative, others were central, others were extreme, others were adjusted-for-out-of-model-error, others were not-adjusted, etc. In an early draft of the post, I gave higher numbers for Saar. Saar asked me to replace them with the numbers I ended up using. I decided to agree, because I wanted to represent Saar fairly with the numbers he most centrally believed, but also because these were closest to the numbers on his Rootclaim site so it wasn’t like he was making them up just to fool me. Peter didn’t argue quite as hard, and also he didn’t have anything like the Rootclaim site, so I just took his first set of numbers. Trying to piece things together, I think a reasonable summary would be: During the debate, Saar mentioned 700-million-to-one odds in favor of lab leak, not because he thought this was plausible, but just as a discussion of where the situation would end up if you didn’t adjust for human fallibility.
barberpole model of fashion

barberpole model of fashion is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between May 12, 2021 and September 25, 2025. The archive places it in contexts such as "and the barberpole model of fashion"; "I ended up near the top of the barberpole model of fashion"; "It’s the Barberpole Model Of Fashion all over again". It most often appears alongside 1950s, 1950s American consensus, 1990s.

Mention count
3
Issue count
3
First seen
May 12, 2021
Last seen
September 25, 2025
May 12, 2021 · Original source
I still don't have a great sense for how 1950s-era conformity and repression failed, but my best guess is something like a respectability cascade and the barberpole model of fashion. The most interesting intellectuals of the era became disillusioned with the consensus, a few halting and dangerous attempts to speak up produced common knowledge of this, and the new set of ideas spread outward. First a few mad geniuses, then the coolest artists and writers, then the brightest academics, then journalists, then well-educated people in general, then the population in general, and the last step was reaching the government (still not really complete; marijuana remains illegal at the federal level).
February 02, 2022 · Original source
First: in basically every other way, I am an extremely unfashionable person. But in this case, somehow I ended up near the top of the barberpole model of fashion. I felt like all my friends were social justice warriors, back when other people described barely knowing one or two. So I got annoyed with them early and rebelled against them early.
September 25, 2025 · Original source
“Yeah,” says Vinaya. “I think I might be the only one. The thing is - it feels like profanity ought to mean something. There ought to be words where if you say them, people will audibly gasp. Mothers will pull back their children and say ‘No, no, don’t interact with that person, they use profanity!’ But you can’t do that anymore. People like to imagine they become some sort of dangerous motorcycle gangster when they say ‘fuck’. But the least cool person you know says ‘fuck’ all the time. They have a Twitter account that consists entirely of statements like ‘The orange fuckface is up to his usual fuckcrustable chumpfuckery’. The sort of people who the thinkpiece writers imagine using ‘heckin’ actually have a brand of mustard in their fridge called something like ‘Dan’s Fucking Awesome Spicy Mustard’ and never miss an opportunity to point it out to visitors. Something’s got to give. So I asked myself - what word will genuinely make strangers gasp? What makes your friends take you aside privately and tell you that you really shouldn’t be saying words like that? What do the self-appointed guardians of good taste treat as totally beyond the pale, as so radically Other that it automatically makes you one of the outcasts of society? And the only answer that made sense was ‘heckin’. Which is obvious in retrospect. It’s the Barberpole Model Of Fashion all over again. In 1960, the most rebellious and dangerous thing imaginable was a socialist who wore bandanas and supported equal rights for black people. Gradually more and more people who wanted to look cool and dangerous took this identity, until it became the cringiest and most try-hard thing imaginable, and now the really rebellious and dangerous youth are differentiating themselves by dressing in fancy pressed shirts and being racist. It’s a generational cycle. In the same way, once every last milligram of edginess has been squeezed out of the word fuck, the age of heckin will begin anew.”
Batman

Batman is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between September 19, 2023 and August 16, 2024. The archive places it in contexts such as "and Batman comics"; "Batman is invented anew every few years. Really Batman is less of a specific book or movie and more of a genre"; "pre-modern versions of Batman: Stories about them are a genre". It most often appears alongside Hercules, Alexander the Great, Bible.

Article page
Batman
Mention count
3
Issue count
3
First seen
September 19, 2023
Last seen
August 16, 2024
September 19, 2023 · Original source
We divide “high culture” from “mass culture”. High culture, those books that plumb the depths of the human spirit, go from the Iliad through the great Greek tragedies through Dante and Shakespeare and so on to Tolstoy, Proust, and Knausgaard. Mass culture - those books that the average person finds entertaining - might also start with the Iliad, but ends up at Dan Brown, J.K. Rowling, and Batman comics.
Mass culture follows somewhat different rules than its more prestigious relative: War And Peace sits perfect and untouchable in the temple of genius, but Batman is invented anew every few years. Really Batman is less of a specific book or movie and more of a genre. The genre has some conventions: the protagonist must be a man named Bruce Wayne with a secret identity as a bat-themed superhero; he should be accompanied by a butler named Alfred and a sidekick named Robin; he should live in a city called Gotham. And it has some suggestions: if you need a villain, how about the Joker? If you need a style, how about dark and gritty? Beyond that, anything goes. You can write a story of his origin only tangentially related to anyone else’s, you can add in new adventures, you can shift the tone from gritty to campy and back.
Almost everything that happens to Alexander the Great in The Alexander Romance has also happened to Batman. Alexander invented a submersible to explore the ocean depths; Batman has done the same. Alexander discovered the Fountain of Youth, and so did Batman. Alexander sealed evil nations behind a magic door, and so did Batman. Alexander fought dinosaurs; Batman did too.
July 26, 2024 · Original source
But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
August 16, 2024 · Original source
Given Marvel Comics, why Silver Age (1961-1965)? I.a. Why Superhero Comic Books? The winner of last year’s Astral Codex Ten book review contest was Brandon Hendrickson. Brandon wrote about Kieran Egan’s The Educated Mind. One of the foundations of Egan’s educational philosophy is that people learn through stories. He believes early education should focus on teaching lessons through myths and legends. This matches my experience. My kids’ favorite podcast is Greeking Out – a very well produced, very entertaining, National Geographic podcast about Greek Legends. Aside #1: When my oldest daughter was three years old she would ask everyone she met “Do you know any myths? Can you tell me a myth?” She especially liked asking people from different places to get myths from their local cultures. Once, she asked the question to a friend of mine who grew up in South Africa, “Can you tell me any South African myths?” He struggled for a minute and then said, “Okay! I have one! Bread never falls butter side down!”. That was not the type of myth she was looking for; nor the type of myth we will be discussing in this review. Every culture has foundational myths. These stories are entertaining and engaging, but they also teach valuable lessons about both what is important in that culture, and how people in that culture are expected to behave (or at least the Platonic Ideal of how they should behave). In the modern, Western world, we have assimilated many of these foundational stories, particularly the Greek myths. My kids definitely know the Greek myths, but they also know elements of Norse mythology, Egyptian myths, stories about Anasi from West Africa and more. More fundamentally my wife and I, while not religious ourselves, have made a point of exposing the kids to the stories from the Bible. It is not politically correct to call Biblical stories “myths”, but they serve the same purpose – shared cultural understanding of the way the world works. My wife grew up without any religion, and when she was in high school, she struggled with the metaphors and religious allegories that were omnipresent in most of the Western canon. In our culture, familiarity with the Bible is important for an educated person – whether they are religious or not – because it is the foundation of so much of the rest of our culture. I believe the other set of mythological stories that are foundational to our culture are – and by this point I am sure you see where I am going here – comic book superheroes. If true, then having more than a surface-level understanding of the most important superhero stories is important in a similar way to that knowing the Bible stories is important. “Do unto others as you would have them do unto you” is an important idea to understand. So is, “With great power comes great responsibility”. I.b. Why Marvel? While there are many independent superheroes that are not owned by major conglomerates, the superheroes who have built our modern foundational myths are currently owned by two corporations. Warner Bros. Discover owns the DC library of superheroes including Superman, Batman and Wonder Woman. In 2009 Disney purchased Marvel Comics and took ownership of their characters, including Spiderman, X-men and the Avengers. Aside #2: Marvel has sold temporary film rights to many of their characters over the years. The most relevant sales started in 1994 when Marvel sold the film rights of X-men and mutants to 20th century Fox, then in 1996, when Marvel went bankrupt, Fox picked up the rights to the Fantastic Four (and New Line picked up Blade). In 1999 Marvel sold the film rights (and live action TV, and animated TV longer than 44 minutes) of Spider-man and related characters to Columbia Pictures (part of Sony) for $7MM. Marvel actually attempted to sell ALL of their remaining Marvel IP film rights to Sony for $25MM, but the top management at Sony was not interested. Sony’s management allegedly told their chief negotiator “Nobody gives a shi*t about any of the other Marvel characters. Go back and do a deal for only Spider-Man). Disney acquired Marvel in 2009, and then Fox in 2019, bringing the two separated packages of characters all back together under one roof (Blade reverted back to Marvel in 2012). Sony still owns the rights to Spider-man but has made a deal with Disney to include some of his films within the Marvel-Disney universe. Marvel sold the film rights of The Hulk to Universal in 1990 and the current status of that agreement is complicated (the consensus is that Marvel now controls the film rights to the character, but Universal owns distribution rights to any stand-alone Hulk film, which could be why Disney let's Hulk co-star in Thor movies, but not vice versa). In the early aughts Marvel wanted to build their own film franchise, but were limited to only using their remaining “B-list” characters – Spider-man, X-men, and the Fantastic Four were all off limits. Fortunately, Kevin Feige, president of production for Marvel at the time, saw a way forward. He convinced Ike Perlmutter, Marvel CEO, to allow for the production of a series of films with the remaining characters begining with Iron Man (2008). Jon Favreau directed and cast Robert Downey Jr as Tony Stark. The film blew away expectations. Kevin’s plan of a series of movies where the characters would interconnect was suddenly feasible. Iron Man was followed by The Incredible Hulk, Thor, and Captain America: The First Avenger. None managed the box office magic of Iron Man, but all were successful enough that the plan stayed on track. In 2012 the characters were all brought together in the first Avengers film, which opened to over $200MM domestically and went on to gross more than $1.5B (which made it the 3rd highest grossing film of all time). Marvel became the first studio to take the interconnected world of their comic books and make the model work on the big screen (for a much larger audience). Once the model was proven to work, other studios tried to duplicate it. Aside #3: Warner Bros’ stumbles with the DC shared universe of Batman, Superman and the Justice League are well known, but that was actually their SECOND attempt at a shared universe. Their first attempt tried to copy the Marvel method more closely. They chose their own B-list hero and set up his first film to allow for a wider mythology. Alas Green Lantern (2011) failed at the box office and we never got stand-alone films about Sinestro (Yellow Lantern), Carol Ferris (Star Sapphire, the Violet Lantern), John Stewart (African American Green Lantern), Kyle Rayner (1990s Green Lantern), Alan Scott (original Green Lantern), or the Blue, Red, and Orange Lantern Corps. At least so far, no studio has successfully created anything with close to the traction obtained by the Marvel Cinematic Universe (MCU). Warner’s DC Extended universe (DCEU) had trifling success, but is being shelved and rebooted for a fresh attempt next year. Universal’s attempt at a “Dark Universe” kicked off with Tom Cruise in The Mummy (2017), but was dead on arrival. Paramount’s attempt to link the Transformers Universe to GI Joe at the end of Transformers: Rise of the Beasts has been appropriately mocked. Sony’s Spider-man films linked to the MCU have been very successful, but their attempt at a stand-alone non-MCU Spider-man universe using Spider-man’s villains as anti-heroes has floundered (mostly succeeding only as a source of memes). Next Mattel will be attempting to build a universe off the success of last year’s Barbie and may include Polly Pocket, American Girl, Hot Wheels, and He-Man and the Masters of the Universe (no word yet on Thomas the Tank Engine, View Master and the Magic-8 Ball, but all are apparently in development). To date, only Marvel has successfully built a “Cinematic Universe”. One potential reason for the MCU’s success is that Kevin Feige built his cinematic universe on the back of the existing interconnected universe of the comics. But those comics were not the first interconnected universe of stories. For that we would need to go back to our foundational myths. The Bible stories mostly interconnect. Adam and Eve flows into Cain and Abel. David and Goliath leads to the Wisdom of Solomon. Greek Myths DEFINITELY interconnect. Supporting characters in one Greek myth have starring roles in their own stories. The Greek pantheon of tales even have their own version of the Avengers. In the Quest for the Golden Fleece, Jason brings together the Argonauts, who included in their number Theseus (who defeated the Minotaur), Orpheus (who braved the underworld) and Hercules himself – all A-list stars in their own “franchises”. Stand alone stories that exist within an interconnected universe are rare in modern media but were common in the ancient myths that have stood the test of time. Only Marvel has successfully created a shared universe that follows the pattern of ancient myths. Only Marvel films have stand-alone stories and protagonists who exist together in an interconnected world. Something about that method of storytelling is deeply pleasing for humans across many cultures. Marvel films are the first and most successful modern version of the mythological universe, and that it is worth spending more time exploring Marvel’s underlying mythology and where it came from. I.c. Why 1961? The origins of Christianity and Judaism (and Buddhism and Hinduism) are very murky. Even Islam is far enough in the past that we only have a very rough understanding of how it came to exist. When scholars want to understand in detail how a new religion is born they are far better to look at Mormonism or, if you accept it as a religion, Dianetics. Similarly, we have versions of Greek myths that have been passed down to us, but we can never know how those myths changed from their first telling to their “final” versions. Were the stories once unrelated, and only later became crafted into a single “universe”? Or were the stories built off each other one by one (“Dad that Golden Fleece story was amazing! Do you know any other stories about the Hercules guy?”)? Or was it something in between? Perhaps the stories all existed independently, but were later crafted together (“Remember that 12-labors story I told you? Actually that was the same guy who was on the Argo!”) Unlike Greek legends, we can know the origin of the Marvel Universe. We can see how it was constructed step-by-step. The people who did it (most importantly Stan Lee, Jack Kirby, and Steve Ditko) are dead now, but they have not been dead for long. We can read the original work, see how it changed over the last 60 years, and we can ask the creators “what were you thinking at the time” (or at least read their answers from old interviews). We can’t always trust what Stan Lee says, but at least we can hear his point of view. No one has a transcript of an interview with Homer, or knows exactly what he was thinking when he called it the “wine-dark sea”. Tl;dr: Why read about Marvel Comic superheroes 1961-1965? Because interconnected mythological stories are very important to cultures, Marvel is the leading contender of the most recent modern mythology, and it originated in the first half-decade of the 1960s. II. How did Marvel Superhero Comics happen? Timely Comics published their first comic book in 1939 and called it “Marvel Comics”. Their most popular World War II comics included Captain America, the Human Torch (an android unrelated to the modern Human Torch except in powers, appearance and name), and Namor, the Submariner. In the early 1950s superheroes became less popular, so Timely changed its name to Atlas Comics and focused on humor, western, horror, war and science fiction stories. But in 1956 DC Comics began re-introducing their Golden Age superheroes and, in the second half of the 1950s, the genre took off again – particularly Superman, whose title, Action Comics, became the number one selling comic in America. Stan Lee, editor and chief at Atlas at the time, wanted to get in on the superhero action. Unfortunately in 1957 Atlas lost its distributor and the company had to rely on “Independent News” to get its comics on newsstands. The complication was that Independent News was owned by “National Periodical Publications”, who also owned DC-comics and did not want Atlas to introduce superheroes to compete with Superman, Green Lantern and the Flash. Independent News agreed to distribute Atlas comics but limited the publisher to eight titles per month, and only in non-super hero genres (like horror, romance and science fiction). Blocked from creating and launching new superhero titles, Stan Lee got creative, and in August 1961 Atlas Comics published Fantastic Four #1. Aside #4: Fantastic Four #1 was on newsstands in August 8th, 1961, but the date on the cover was November 1961. The convention at the time was that the cover date was not the “publication date” but rather the “pull date”. The pull date was the time when the retailer could send back unsold copies back to the publisher for a refund. In fact the retailer did not need to send the entire issue back, just the cover, as it was assumed that comic books could not be sold without the cover, and it saved on postage. This was only relevant because it was great for my dad who was a child at the time. My dad was friends with the kid whose father owed the local pharmacy which meant he had access to every comic book published in the late 1950s as long as he was willing to wait a few months and read it without a cover. Going forward in this essay I will always use the pull dates rather than the publication dates for individual comic book issues as they are far easier to source. If you want to convert pull dates back into publication dates you can subtract roughly two months, but it is inconsistent and sometimes longer, as was the case with Fantastic Four #1. Check out the cover of Fantastic Four #1: To the modern eye this certainly looks like a superhero comic. Four heroes with super powers fighting a giant monster. But in the eyes of publishers in 1961 this looked more like a science fiction adventure comic than something that would go head to head with Superman. Here are the covers of Action Comics (the best selling superhero comic at the time) from the three months leading up to Fantastic Four #1: Notice what they have in common? “Super Rivals”, “Super revenge”, “Super Substitutes”. And all include Superman in his blue and red tights. Fantastic Four’s cover featured super powers, but never used the word “super” and no one was wearing superhero costumes. Fantastic Four, as a superhero story, slipped under the radar because it wasn’t really a superhero story at all. It was a story about four close friends who attempted to fly into space, but then something goes wrong and they crash back to Earth. The experience changes them and they decide they now need to use their new abilities to help the rest of humanity – specifically against monsters who are invading from under the Earth. It is a fantastical science fiction story – not a superhero story. Later in his career Jack Kirby, the illustrator of the issue and co-creator of the Fantastic Four, was asked about his inspiration for the Fantastic Four heroes. He did NOT say Superman – or any superhero. He said Challengers of the Unknown. Challengers of the Unknown was an adventure story co-created by Kirby in Showcase #6 in February 1957. Here is how Wikipedia describes the Challengers origin: When acquaintances miraculously survive a plane crash unscathed, they conclude that since they are "living on borrowed time" they should band together for hazardous adventures. The four—pilot Kyle "Ace" Morgan, daredevil Matthew "Red" Ryan, strong and slow-witted Leslie "Rocky" Davis, and scientist Walter Mark "Prof" Haley—became the Challengers of the Unknown. Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
By early 1963 it was established that the Fantastic Four, the Hulk and Spider-man all existed together within the same shared universe. But what about Ant Man,Thor and Iron Man? Aside #5: The Hulk comic in Fantastic Four #5 pretty clearly establishes that the Hulk was a fictional character in the Fantastic Four world, but there are other clues that Lee was not thinking about his characters as existing and crossing over in the early days. Both Bruce Banner (the Hulk) and Mr Fantastic fight off global alien invasions in their early issues. In both cases the stories make clear that only Bruce/Reed is smart enough to save the world. No mention is made of the OTHER scientist who saved the world from the alien invasion a few months earlier. Bringing different superheroes from their own titles together was not an idea created by Atlas/Marvel and Lee. That was likely All Star Comics #3 (December 1940) when writer Gardner Fox brought together all the major DC heroes who were not staring in their own independent titles, including Green Lantern, the Flash and Doctor Fate, to create the Justice Society of America (JSA). Batman and Superman cameoed in All Star Comics #7, but generally they were considered too popular to dilute their appearances in ensemble titles. That changed in March 1960 when DC re-launched the idea of a superteam with the Justice League of America and included all of their most popular heroes as the leads – Superman, Batman and Wonder Woman. It was immediately a top seller. The launch of JLA is likely what caused the owner of Atlas to ask Lee to create a ”superhero team comic”. Lee did not have a stable of heroes to bring together, so he had to create something entirely new – The Fantastic Four. But now that Lee DID have a collection of his own heroes AND he had the greenlight to create straightforward superhero comics, he decided to build himself his own JLA. In September 1963 Atlas published two new titles: The Avengers and the X-men. The X-men were a brand new team of all new heroes, but the Avengers were a close parallel to the Justice League. Lee took his existing collection of heroes (except the Fantastic Four and Spider-man) and created an excuse for a team-up. In the issue they individually battle Thor’s brother Loki before coming together to defeat him as a team. They decide that given they all have different powers, they should work together to be unstoppable. The entire formation of the team takes only four panels and is a little corny, but it does its job: While the Avengers were a clear copy of the Justice League, Stan Lee put his own spin on it. While the JLA superheroes all had roughly the same personality and no real inter-team conflict, Lee made his heroes very distinct – almost caricatures – and there was PLENTY of inter-team conflict. The Hulk in particular abandoned the team in the second issue and was the primary antagonist by Avengers #3. Avengers #3 (January 1964) is itself the final step in connecting all of the Marvel heroes together. The Hulk has gone missing and the rest of the team wants to find him. Iron Man uses an “Image Projector” to ask other superheroes around the world if they had seen the Hulk. He visits the Fantastic Four, Spider-man and the X-men. In that same month in Tales of Suspense, Iron Man meets Angel (one of the X-men). The cat was out of the bag. Lee had a new trick to boost sales of all of his titles and he put it to work throughout the year. The first full crossover of the Fantastic Four and the Avengers happens in May (Fantastic Four #26). Daredevil premiered in March 1964 (with Spider-man on the cover, but not in the pages), and crosses over in Amazing Spider-man #16 (September 1964). Dr Strange first appears on the cover of another title in Fantastic Four #27 (June 1964). The Avengers battle the X-men (before teaming up) in X-men #9 (Dec 1964) Atlas was no longer just a collection of comic books about various topics, or even a collection of different flavors of superhero. It was a single shared universe: The Marvel Universe. It wasn’t planned out in advance, instead it happened in stages due more to commercial rather than artistic needs. Basically Stan Lee created the most successful modern mythology because he needed the money. III. Are Silver Age Marvel Comics any good? Well, apart from Amazing Spider-man, which holds up surprisingly well, I would not recommend reading any of them. Even Spider-Man is much weaker than the Ultimate Spider-Man reboot version of the story published 2000-2011. If you wanted to read Spider-Man from the beginning you would likely enjoy that later series a lot more than the original. The other titles vary in quality from “okay” (the Fantastic Four) to “absolute garbage” (Ant Man stories in Tales to Astonish). Which begs the questions, if these comics were so bad, how did they succeed as well as they did? Clearly the comics were “good for their time”. Millions of people bought and read them, and they clearly passed the “test of time”. So does that mean that we are better today at making art than we were back then? Or is art neither better or worse, just “of its time” and people back then would think the Ultimate Spider-man stories from 2000 were unreadable? I will argue the following: The stories were “good for their time”. VERY good for their time. They were much much better than the comic book stories that preceded them, and much better than other contemporary comic book adventures (like those being published by DC)
Bayes’ Theorem

Bayes’ Theorem is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between November 07, 2024 and October 30, 2025. The archive places it in contexts such as "You would solve this with Bayes’ Theorem"; "part of the answer is Bayes’ theorem"; "If we want to Eganize Bayes’ theorem". It most often appears alongside Biden, Eliezer, Trump.

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Bayes’ Theorem
Mention count
3
Issue count
3
First seen
November 07, 2024
Last seen
October 30, 2025
November 07, 2024 · Original source
Suppose you have a coin. You think there's a 90% chance it's fair and a 10% chance it’s biased 60/40 heads. Then you flip the coin and comes up heads. What should your new probability be? You would solve this with Bayes’ Theorem; the answer is 88% chance it’s fair, 12% chance it’s biased.
May 30, 2025 · Original source
It probably won’t surprise you that I think part of the answer is Bayes’ theorem. But the equation is famously prickly and off-putting:
I’ll be honest: I’ve learned something from each of these, but I think we can do even better. Specifically, I think that by using the paradigm I introduced in that book review — that of the recently-deceased philosopher Kieran Egan — we can make understanding and enjoying Bayes’ theorem a perfectly normal thing not just for quantitative geeks, but for more-or-less everyone. I’ve recently begun to test this out, and thought others might benefit from seeing what I’ve learned.
Anyhow, if we want to Eganize Bayes’ theorem, what we need to remember is that while the new tools have precision, the old tools have power. If we see Bayes’ theorem as one of the peaks of the new way of understanding, the question becomes, how can we use the old tools to secure Bayes in kids’ minds?
October 30, 2025 · Original source
27: Also Fatima-related: in the comments highlights post, I linked FLWAB’s criticism of David Hume’s argument against ever believing miracles. Joe James argues that FLWAB, myself, and other critics are misunderstanding Hume’s argument. FLWAB says no he isn’t. They continue the discussion in the comments, but neither comes off looking great, and they don’t get anywhere. I’m unfortunately still confused - there are many cases where something that never happened before happens for the first time. For example, nobody had ever seen a grizzly-polar bear hybrid until recently, so “the universal testimony of mankind” was that this didn’t happen. But when a reliable person did see it, we had little trouble imagining that we were wrong and it was simply very rare, or a new thing happening now because of climate change. If nobody has ever seen a sea part before, but then many people say they saw Moses part the Red Sea, what is different about this such that “the universal testimony of mankind” suddenly becomes a disqualifier? Hume seems to be trying to make this same distinction in his eight days of darkness example, but there it seems like he is only saying he will accept non-religious anomalies, but rule out religious ones, because religious people often lie. But then what happened to the “universal testimony of mankind” argument? I kind of get the impression that he’s groping towards Bayes’ Theorem, but hard-coding in a belief that the prior probability of lots of religious people lying is higher than the probability of a miracle. If that’s his belief, then fair enough, but I guess I expected the much-vaunted Hume’s Argument Against Miracles to be something more than this.
benzodiazepines

benzodiazepines is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between March 08, 2022 and May 31, 2023. The archive places it in contexts such as "allopregnanolone is a positive allosteric modulator of GABA, much like benzodiazepines such as Xanax"; "by analogy to other GABA-PAMs like benzodiazepines"; "benzodiazepines treat a lot of stuff, and if these neurosteroids are kind of like super-benzodiazepines". It most often appears alongside Lundbeck, SSRIs, Xanax.

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benzodiazepines
Mention count
3
Issue count
3
First seen
March 08, 2022
Last seen
May 31, 2023
March 08, 2022 · Original source
(source) GABA is the main inhibitory neurotransmitter; it’s usually associated with relaxation and sedation. A positive allosteric modulator is a chemical that makes receptors respond more strongly to their targets. So “a positive allosteric modulator of GABA” means a chemical that makes the brain respond stronger to relaxation/sedation signals. Sounds pretty useful! You may do some positive allosteric modulation of GABA yourself sometimes; this is one of the major actions of alcohol. Also of the benzodiazepines, a popular class of psychiatric medication including Ativan (lorazepam), Valium (diazepam), and Klonopin (clonazepam). The “-pam” at the end stands for positive allosteric modulator! (or maybe that’s just an urban legend, I’ve never found proof either way) The discovery of endorphins (ie endogenous opiates) helped shed light on the brain’s reward system. So the discovery of a sort of endogenous benzodiazepine was pretty exciting. Maybe it’s some kind of master control switch for anxiety or something? Psychiatrists only know two ways to respond to an exciting new thing: publishing breathless studies claiming that it’s the true mechanism of action for SSRIs, and publishing breathless studies claiming that it’s the true biological basis of depression. This time, they did both: see eg Fluoxetine elevates allopregnanolone levels in female rat brain and The role of allopregnanolone in depressive-like behaviors. The basic theory was that stress / social isolation / etc → decreased allopregnanolone → something something BDNF and synaptogenesis → depression. And SSRIs → increased allopregnanolone → something something BDNF and synpatogenesis → recovery! Change the word “allopregnanolone”, and that’s every theory in psychiatry. But this particular theory had two extra pieces of evidence: premenstrual dysphoric disorder and postpartum depression. Remember, allopregananolone is a natural metabolite of the female hormone progesterone. Progesterone levels go up during pregnancy and the ~18th day of the menstrual cycle, then crash back down after delivery and the ~24th day of the menstrual cycle. Meanwhile, some women get depressed after delivering a baby, or on the ~24th day of their menstrual cycle. Suspicious! Maybe it’s because their progesterone was getting converted into allopregnanolone, an antidepressant hormone that affects mood! (why doesn’t every woman get PPD and PMDD? This study suggests that women with PMDD have altered sensitivity to allopregnanolone; plausibly people with PPD have some other form of altered sensitivity. In case you have the same question I do: the correlation between PMDD and PPD is not 100% but still pretty significant) History of allopregnanolone research (source) The next step was to see if making patients take allopregnanolone can treat these conditions. This is kind of hard, because allopregnanolone is a tough chemical to get into people’s bodies; the traditional method involves sticking an IV into someone and infusing it slowly over several days, and it has to be done in a hospital. Still, Kanes et al tried this in 2017. The study was open-label (ie no placebo) and very small (only four women) but appeared to work extraordinarily well. Four post-partum women who qualified as “severely depressed” when they started the infusion progressed to “completely recovered” within twelve hours. Nothing else except maybe ketamine had produced results like this before. 3: What studies were done on Zulresso? This followup study by Kanes was the first real RCT, although it only had 21 patients. In accordance with the venerable First Study Ever tradition, it found really large positive effects on post-partum depression. That encouraged Sage Therapeutics to fund a bigger Phase 3 trial, Meltzer-Brody (2018). In accordance with venerable Bigger Phase 3 Trial tradition, its results weren’t quite as good as the First Study Ever. But they were still pretty good: Notice that lower doses worked better than higher doses. This is sometimes a red flag on a study. But this time it seems legit; see “Biphasic Actions At The GABA-A Receptor” here for an explanation. Both studies also evaluated side effects. These were generally mild, but two people (about 2% of the study population) lost consciousness. Nothing seemed wrong with them, and researchers mostly attributed this to allopregnanolone being a sedating drug. If you sedate people too hard, they pass out. Faced with these results, the FDA approved allopregnanolone for post-partum depression, but subjected it to a REMS (Risk Evaluation And Mitigation Strategy) - basically, doctors who want to prescribe it will need to take special courses and do extra paperwork. This kind of surprised me - there are plenty of sedating drugs that make you pass out in overdose. Also, since patients will be getting it IV, there will probably be a nurse around to check if they passed out and take appropriate actions if so. But the FDA really likes putting restrictions on things, and I guess this was a free chance for them to do that. 4: Is Zulresso freely available at a doctor’s office near me? It’s possible to get Zulresso, but really hard. Because Zulresso is an IV infusion lasting four days, you need to spend four days somewhere that people can put an IV into you and monitor it. Realistically that means a hospital or some other big medical institution. So this is only available for inpatients. Because of the REMS (extra certification and paperwork), most hospitals aren’t interested. You can find a list of ones that are here - it looks like there are about 89 locations in the US with the right certification. Last but not least, a four-day course of Zulresso costs $35,000 for the medication itself, plus much more for the four-day hospitalization it takes to receive it. As usual, insurances will cover it iff you can document you’ve tried lots of other stuff first. 5: Hold on, does it really cost $35,000? Oho, I see you’ve played the “pharma price analysis” game before. But this time I think the price might actually be defensible. Chemical supply companies (1, 2, 3) generally sell allopregnanolone for $10,000 to $20,000 a gram. (I found one company with a much lower price, but I’m suspicious and am going to dismiss them as an outlier). The usual dose of allopregnanolone is 60 ug/kg/hour x 60 hours, which for a 60 kg person comes out to a total of 0.25g total. Getting that amount from the chemistry supply store would cost about $2,500 - 5,000. I assume pharma-grade allopregnanolone is more expensive than chemistry-store-grade, so it wouldn’t surprise me if a price in the low five-figures was justified by manufacturing alone. Isn’t it still a pretty good deal to find an endogenous neurosteroid, do one or two studies confirming it’s great, produce it for the low five figures, then sell it for the mid five figures? I think maybe not. This drug has a terrible value proposition. Post-partum depression is one of the rarer psych conditions. Most people with PPD won’t check into a hospital and pay $35,000 for a drug infusion. And the people who do will get the drug infusion, feel better, and never need it again (at least until they have another kid) - unlike SSRIs where you can keep charging for monthly prescriptions forever. Sage Therapeutics, the pharma company that owns the patent on Zulresso (and nothing else - this is their only drug!) has done terribly. Their stock is in the doldrums, they almost went bankrupt, and they survived only with the help of a cash infusion by a bigger pharma company. I think this confirms a general trend where at least some expensive medications are pricey because of fundamentals (including regulatory fundamentals) and not just pharma companies making obscene profits. 6: Hold on, how is allopregnanolone different from benzodiazepines? Remember, allopregnanolone is a positive allosteric modulator of GABA, much like benzodiazepines such as Xanax. But Xanax is cheap ($10 for 30 pills). And you can get it at any local pharmacy (plus sometimes on street corners). What’s so special about allopregnanolone that you should pay $35,000 and go into the hospital to get it? The official answer is “allopregnanolone modulates GABA differently from benzodiazepines”. For example, this paper says that: Allopregnanolone allosteric modulation of the action of GABA at GABA-A receptors is much less selective than that of benzodiazepines, which are relatively inactive at α4- or α6-containing GABA-A receptors. If you really like details about receptor subunits, this paper presents the full case. The skeptic’s answer is “who knows?” Psych drugs often work for reasons totally different than we thought. People thought tianeptine was an SSRE for years, until it turned out to be a mild opioid. People thought ketamine was NMDA-ergic for years, until it turned out to be [fill this part in 10 years from now]. Last year a bunch of very smart people tried to claim that SSRI effects had nothing to do with serotonin (I think they were wrong). Just because some guy found that Zulresso acts as a GABA-PAM in some test tube doesn’t mean that’s what’s having any of the relevant antidepressant effects. The troll’s answer is “who says it’s different?” Do benzodiazepines treat depression? Depends who you ask. If you ask benzodiazepine users, their answer is “yes, definitely”. If you ask drug warriors, their answer is “Addictive Substances May Make You Temporarily Feel Good, But They Are Not A Responsible Treatment Option”. If you ask the research literature, it gives vague indeterminate answers, as always. But nobody has ever said benzodiazepines instantly and miraculously cure depression, so how come allopregnanolone seems to do that? A true troll would point out that we probably give allopregnanolone at much higher doses - 2% of allopregnanolone patients were sedated so hard they lost consciousness, whereas this is exactly the sort of side effect I try to avoid when calculating benzodiazepine doses. Maybe if you gave postpartum women an infusion of 300 mg Valium, and maximized your placebo effect by calling it the hot new thing, they’d do pretty well too (several days later, after recovering consciousness). I think the troll answer would be hilarious but I don’t really want to defend it as correct; if I had to bet I’d say the official explanation is the right one. 7: Hold on, why can’t we just give people progesterone and let them metabolize it into allopregnanolone? This turned out to be an interesting enough rabbit hole that I’m going to spin it off into another post later this week. 8: Hold on, people have lots of allopregnanolone when they’re pregnant, right? And then post-partum depression happens when they give birth, and their allopregnanolone level drops. So if you give someone an infusion of allopregnanolone, and then take them off it, that’s a hormonal simulation of giving birth, ie the same thing that caused the problem in the first place? How is that good? Oh, you think you’re clever, do you? What you failed to consider is . . . I didn’t end that sentence because I can’t find anything in the literature addressing this question. But the difference might be that the infusion schedule ramps up gradually, peaks, and then ramps down gradually, which is more of a soft taper than the sudden crash of birth. If anyone knows more about this, please let me know. [EDIT: see this comment] 9: Is allopregnanolone addictive? No, because good luck getting addicted to a $35,000-per-dose chemical. We should probably expect allopregnanolone to be addictive, by analogy to other GABA-PAMs like benzodiazepines and alcohol. But nobody has ever received more than a single dose. You don’t get addicted to benzos after a single pill, or alcohol after a single beer, so in practice AFAIK nobody has ever gotten addicted to this. Or who knows, maybe it’s not addictive. Remember, allopregnanolone is naturally elevated during pregnancy; pregnancy isn’t addictive. And some scientists claim the brain endogenously uses allopregnanolone as a master regulator of depression and anxiety. In theory, if you could give yourself the same amount a non-anxious person’s brain gives them all the time, shouldn’t you be no worse off than that non-anxious person? I don’t know, and remember that your brain also has a lot of endogenous opioids; doesn’t make the exogenous kind any safer. The Drug Enforcement Administration has made Zulresso a Schedule IV controlled substance, which means they’re putting a few very weak restrictions on it but not worrying too much. 10: Does allopregnanolone work for depression that isn’t post-partum? If all psychiatric disorders are secretly allopregnanolone imbalances, then you might expect it to work on all depressions, not just post-partum. I’m sure pharmaceutical executives with dollar signs instead of pupils in their eyes have had this same thought, but I can’t find studies about it. Some of the same people behind the postpartum studies did a very small, very weak study on ganaloxone (a close allopregnanolone relative) for persistent depression; it seemed to work, but also caused a lot of sedation (more than in the postpartum trials? Hard to tell). Nobody’s looked into this further since then, maybe because that was around when the pharma companies realized that the 4-day hospital stay and $35,000 price tag made allopregnanolone a financial loser. The evidence from zuranolone (see below) suggests that allopregnanolone might not work very well against regular depression. 11: What is zuranolone? Wikipedia describes zuranolone as “a swirling, black vortex revered by the Mutsune Native Americans as a dire death god . . . also worshiped by mysterious servitors known as the Hidden Ones.” No! Sorry again! That’s Zushakon, another Great Old One. Zuranolone is Sage Therapeutics’ attempt to turn allopregnanolone into an accessible medication that might actually make them real money. Zuranolone is mostly just allopregnanolone with some extra stuff attached that changes the absorption. Zuranolone can be taken orally, so you don’t have to go to a hospital for four days to receive it IV. It’s potentially less likely to cause loss of consciousness and other undesirable side effects. And it’s under investigation as a potential treatment for postpartum depression, bipolar depression, regular depression, insomnia, and various movement disorders. (that might seem excessive, but benzodiazepines treat a lot of stuff, and if these neurosteroids are kind of like super-benzodiazepines, then this level of optimism might be warranted.) 12: Does zuranolone work? Sage Therapeutics answered this question the same way pharma companies answer every question: with a bunch of studies whose names form overly-cute acronyms. We’ll talk here about ROBIN, WATERFALL, MOUNTAIN, and CORAL - though I assure you there are others. ROBIN tested efficacy in postpartum depression. Results were positive and relatively impressive, about the same as the weaker allopregnanolone studies. WATERFALL, MOUNTAIN, and CORAL tested results in regular depression. WATERFALL was positive but weak. MOUNTAIN was negative. That scared the pharma company and they hacked CORAL to be more likely to give positive results. It did give positive results, but the FDA reads the same biotech magazines I do and knows perfectly well what they did, so I don’t know what Sage expects to gain from this. Overall these trials were disappointing. I think the most likely story is that allopregnanolone = zuranolone, both are moderately effective in postpartum depression, and both have much less efficacy in regular depression, probably not literally zero but also not enough to be worthwhile antidepressants (especially considering cost). Might zuranolone be an excellent anti-anxiety medication? You’d think so - it should be at least as good as benzodiazepines, which are excellent anti-anxiety medications. And researchers seem excited about allopregnanolone as a master regulator of brain anxiety. But the studies aren’t promising. ROBIN and WATERFALL incidentally assessed anxiety; ROBIN found good results in its postpartum population, but WATERFALL found poor-to-mediocre results in its regular population. Studies are hard, and sometimes even really effective drugs can have trouble showing strong results. But these aren’t encouraging. 13: So where do we go from here? Getting FDA approval for zuranolone for postpartum depression seems reasonable; it’ll probably be cheaper and easier than making people go to the hospital to get allopregnanolone. I’m uncertain about the financials of this for Sage, but since they did the study they hopefully think it’s worth it. Otherwise, I’m not sure. It would have been great if zuranolone had shown robust efficacy against regular depression and anxiety, but this is exactly the kind of great thing that never happens in psychopharmacology (motto: “Disappointing Doctors And Patients Since 1982”). It might be worth throwing it against anxiety disorders and PTSD to see if anything sticks, but I wouldn’t bet on it. The research into allopregnanolone as master regulator of brain anxiety states is fascinating, but as far as I know it hasn’t reckoned with the failure of zuranolone to really treat much anxiety. The cynical part of me predicts that once pharma’s done making money off neurosteroids then all of this will die down, and something else that pharma can make more money from will become the master regulator of everything. I expect that the main thing we get out of all this is somewhat better post-partum depression treatment, which might or might not ever become accessible for ordinary people. 14: Predictions In the next five years… Zuranolone gets FDA approval for major depression: 15%
Notice that lower doses worked better than higher doses. This is sometimes a red flag on a study. But this time it seems legit; see “Biphasic Actions At The GABA-A Receptor” here for an explanation. Both studies also evaluated side effects. These were generally mild, but two people (about 2% of the study population) lost consciousness. Nothing seemed wrong with them, and researchers mostly attributed this to allopregnanolone being a sedating drug. If you sedate people too hard, they pass out. Faced with these results, the FDA approved allopregnanolone for post-partum depression, but subjected it to a REMS (Risk Evaluation And Mitigation Strategy) - basically, doctors who want to prescribe it will need to take special courses and do extra paperwork. This kind of surprised me - there are plenty of sedating drugs that make you pass out in overdose. Also, since patients will be getting it IV, there will probably be a nurse around to check if they passed out and take appropriate actions if so. But the FDA really likes putting restrictions on things, and I guess this was a free chance for them to do that. 4: Is Zulresso freely available at a doctor’s office near me? It’s possible to get Zulresso, but really hard. Because Zulresso is an IV infusion lasting four days, you need to spend four days somewhere that people can put an IV into you and monitor it. Realistically that means a hospital or some other big medical institution. So this is only available for inpatients. Because of the REMS (extra certification and paperwork), most hospitals aren’t interested. You can find a list of ones that are here - it looks like there are about 89 locations in the US with the right certification. Last but not least, a four-day course of Zulresso costs $35,000 for the medication itself, plus much more for the four-day hospitalization it takes to receive it. As usual, insurances will cover it iff you can document you’ve tried lots of other stuff first. 5: Hold on, does it really cost $35,000? Oho, I see you’ve played the “pharma price analysis” game before. But this time I think the price might actually be defensible. Chemical supply companies (1, 2, 3) generally sell allopregnanolone for $10,000 to $20,000 a gram. (I found one company with a much lower price, but I’m suspicious and am going to dismiss them as an outlier). The usual dose of allopregnanolone is 60 ug/kg/hour x 60 hours, which for a 60 kg person comes out to a total of 0.25g total. Getting that amount from the chemistry supply store would cost about $2,500 - 5,000. I assume pharma-grade allopregnanolone is more expensive than chemistry-store-grade, so it wouldn’t surprise me if a price in the low five-figures was justified by manufacturing alone. Isn’t it still a pretty good deal to find an endogenous neurosteroid, do one or two studies confirming it’s great, produce it for the low five figures, then sell it for the mid five figures? I think maybe not. This drug has a terrible value proposition. Post-partum depression is one of the rarer psych conditions. Most people with PPD won’t check into a hospital and pay $35,000 for a drug infusion. And the people who do will get the drug infusion, feel better, and never need it again (at least until they have another kid) - unlike SSRIs where you can keep charging for monthly prescriptions forever. Sage Therapeutics, the pharma company that owns the patent on Zulresso (and nothing else - this is their only drug!) has done terribly. Their stock is in the doldrums, they almost went bankrupt, and they survived only with the help of a cash infusion by a bigger pharma company. I think this confirms a general trend where at least some expensive medications are pricey because of fundamentals (including regulatory fundamentals) and not just pharma companies making obscene profits. 6: Hold on, how is allopregnanolone different from benzodiazepines? Remember, allopregnanolone is a positive allosteric modulator of GABA, much like benzodiazepines such as Xanax. But Xanax is cheap ($10 for 30 pills). And you can get it at any local pharmacy (plus sometimes on street corners). What’s so special about allopregnanolone that you should pay $35,000 and go into the hospital to get it? The official answer is “allopregnanolone modulates GABA differently from benzodiazepines”. For example, this paper says that: Allopregnanolone allosteric modulation of the action of GABA at GABA-A receptors is much less selective than that of benzodiazepines, which are relatively inactive at α4- or α6-containing GABA-A receptors. If you really like details about receptor subunits, this paper presents the full case. The skeptic’s answer is “who knows?” Psych drugs often work for reasons totally different than we thought. People thought tianeptine was an SSRE for years, until it turned out to be a mild opioid. People thought ketamine was NMDA-ergic for years, until it turned out to be [fill this part in 10 years from now]. Last year a bunch of very smart people tried to claim that SSRI effects had nothing to do with serotonin (I think they were wrong). Just because some guy found that Zulresso acts as a GABA-PAM in some test tube doesn’t mean that’s what’s having any of the relevant antidepressant effects. The troll’s answer is “who says it’s different?” Do benzodiazepines treat depression? Depends who you ask. If you ask benzodiazepine users, their answer is “yes, definitely”. If you ask drug warriors, their answer is “Addictive Substances May Make You Temporarily Feel Good, But They Are Not A Responsible Treatment Option”. If you ask the research literature, it gives vague indeterminate answers, as always. But nobody has ever said benzodiazepines instantly and miraculously cure depression, so how come allopregnanolone seems to do that? A true troll would point out that we probably give allopregnanolone at much higher doses - 2% of allopregnanolone patients were sedated so hard they lost consciousness, whereas this is exactly the sort of side effect I try to avoid when calculating benzodiazepine doses. Maybe if you gave postpartum women an infusion of 300 mg Valium, and maximized your placebo effect by calling it the hot new thing, they’d do pretty well too (several days later, after recovering consciousness). I think the troll answer would be hilarious but I don’t really want to defend it as correct; if I had to bet I’d say the official explanation is the right one. 7: Hold on, why can’t we just give people progesterone and let them metabolize it into allopregnanolone? This turned out to be an interesting enough rabbit hole that I’m going to spin it off into another post later this week. 8: Hold on, people have lots of allopregnanolone when they’re pregnant, right? And then post-partum depression happens when they give birth, and their allopregnanolone level drops. So if you give someone an infusion of allopregnanolone, and then take them off it, that’s a hormonal simulation of giving birth, ie the same thing that caused the problem in the first place? How is that good? Oh, you think you’re clever, do you? What you failed to consider is . . . I didn’t end that sentence because I can’t find anything in the literature addressing this question. But the difference might be that the infusion schedule ramps up gradually, peaks, and then ramps down gradually, which is more of a soft taper than the sudden crash of birth. If anyone knows more about this, please let me know. [EDIT: see this comment] 9: Is allopregnanolone addictive? No, because good luck getting addicted to a $35,000-per-dose chemical. We should probably expect allopregnanolone to be addictive, by analogy to other GABA-PAMs like benzodiazepines and alcohol. But nobody has ever received more than a single dose. You don’t get addicted to benzos after a single pill, or alcohol after a single beer, so in practice AFAIK nobody has ever gotten addicted to this. Or who knows, maybe it’s not addictive. Remember, allopregnanolone is naturally elevated during pregnancy; pregnancy isn’t addictive. And some scientists claim the brain endogenously uses allopregnanolone as a master regulator of depression and anxiety. In theory, if you could give yourself the same amount a non-anxious person’s brain gives them all the time, shouldn’t you be no worse off than that non-anxious person? I don’t know, and remember that your brain also has a lot of endogenous opioids; doesn’t make the exogenous kind any safer. The Drug Enforcement Administration has made Zulresso a Schedule IV controlled substance, which means they’re putting a few very weak restrictions on it but not worrying too much. 10: Does allopregnanolone work for depression that isn’t post-partum? If all psychiatric disorders are secretly allopregnanolone imbalances, then you might expect it to work on all depressions, not just post-partum. I’m sure pharmaceutical executives with dollar signs instead of pupils in their eyes have had this same thought, but I can’t find studies about it. Some of the same people behind the postpartum studies did a very small, very weak study on ganaloxone (a close allopregnanolone relative) for persistent depression; it seemed to work, but also caused a lot of sedation (more than in the postpartum trials? Hard to tell). Nobody’s looked into this further since then, maybe because that was around when the pharma companies realized that the 4-day hospital stay and $35,000 price tag made allopregnanolone a financial loser. The evidence from zuranolone (see below) suggests that allopregnanolone might not work very well against regular depression. 11: What is zuranolone? Wikipedia describes zuranolone as “a swirling, black vortex revered by the Mutsune Native Americans as a dire death god . . . also worshiped by mysterious servitors known as the Hidden Ones.” No! Sorry again! That’s Zushakon, another Great Old One. Zuranolone is Sage Therapeutics’ attempt to turn allopregnanolone into an accessible medication that might actually make them real money. Zuranolone is mostly just allopregnanolone with some extra stuff attached that changes the absorption. Zuranolone can be taken orally, so you don’t have to go to a hospital for four days to receive it IV. It’s potentially less likely to cause loss of consciousness and other undesirable side effects. And it’s under investigation as a potential treatment for postpartum depression, bipolar depression, regular depression, insomnia, and various movement disorders. (that might seem excessive, but benzodiazepines treat a lot of stuff, and if these neurosteroids are kind of like super-benzodiazepines, then this level of optimism might be warranted.) 12: Does zuranolone work? Sage Therapeutics answered this question the same way pharma companies answer every question: with a bunch of studies whose names form overly-cute acronyms. We’ll talk here about ROBIN, WATERFALL, MOUNTAIN, and CORAL - though I assure you there are others. ROBIN tested efficacy in postpartum depression. Results were positive and relatively impressive, about the same as the weaker allopregnanolone studies. WATERFALL, MOUNTAIN, and CORAL tested results in regular depression. WATERFALL was positive but weak. MOUNTAIN was negative. That scared the pharma company and they hacked CORAL to be more likely to give positive results. It did give positive results, but the FDA reads the same biotech magazines I do and knows perfectly well what they did, so I don’t know what Sage expects to gain from this. Overall these trials were disappointing. I think the most likely story is that allopregnanolone = zuranolone, both are moderately effective in postpartum depression, and both have much less efficacy in regular depression, probably not literally zero but also not enough to be worthwhile antidepressants (especially considering cost). Might zuranolone be an excellent anti-anxiety medication? You’d think so - it should be at least as good as benzodiazepines, which are excellent anti-anxiety medications. And researchers seem excited about allopregnanolone as a master regulator of brain anxiety. But the studies aren’t promising. ROBIN and WATERFALL incidentally assessed anxiety; ROBIN found good results in its postpartum population, but WATERFALL found poor-to-mediocre results in its regular population. Studies are hard, and sometimes even really effective drugs can have trouble showing strong results. But these aren’t encouraging. 13: So where do we go from here? Getting FDA approval for zuranolone for postpartum depression seems reasonable; it’ll probably be cheaper and easier than making people go to the hospital to get allopregnanolone. I’m uncertain about the financials of this for Sage, but since they did the study they hopefully think it’s worth it. Otherwise, I’m not sure. It would have been great if zuranolone had shown robust efficacy against regular depression and anxiety, but this is exactly the kind of great thing that never happens in psychopharmacology (motto: “Disappointing Doctors And Patients Since 1982”). It might be worth throwing it against anxiety disorders and PTSD to see if anything sticks, but I wouldn’t bet on it. The research into allopregnanolone as master regulator of brain anxiety states is fascinating, but as far as I know it hasn’t reckoned with the failure of zuranolone to really treat much anxiety. The cynical part of me predicts that once pharma’s done making money off neurosteroids then all of this will die down, and something else that pharma can make more money from will become the master regulator of everything. I expect that the main thing we get out of all this is somewhat better post-partum depression treatment, which might or might not ever become accessible for ordinary people. 14: Predictions In the next five years… Zuranolone gets FDA approval for major depression: 15%
Zuranolone is mostly just allopregnanolone with some extra stuff attached that changes the absorption. Zuranolone can be taken orally, so you don’t have to go to a hospital for four days to receive it IV. It’s potentially less likely to cause loss of consciousness and other undesirable side effects. And it’s under investigation as a potential treatment for postpartum depression, bipolar depression, regular depression, insomnia, and various movement disorders. (that might seem excessive, but benzodiazepines treat a lot of stuff, and if these neurosteroids are kind of like super-benzodiazepines, then this level of optimism might be warranted.) 12: Does zuranolone work? Sage Therapeutics answered this question the same way pharma companies answer every question: with a bunch of studies whose names form overly-cute acronyms. We’ll talk here about ROBIN, WATERFALL, MOUNTAIN, and CORAL - though I assure you there are others. ROBIN tested efficacy in postpartum depression. Results were positive and relatively impressive, about the same as the weaker allopregnanolone studies. WATERFALL, MOUNTAIN, and CORAL tested results in regular depression. WATERFALL was positive but weak. MOUNTAIN was negative. That scared the pharma company and they hacked CORAL to be more likely to give positive results. It did give positive results, but the FDA reads the same biotech magazines I do and knows perfectly well what they did, so I don’t know what Sage expects to gain from this. Overall these trials were disappointing. I think the most likely story is that allopregnanolone = zuranolone, both are moderately effective in postpartum depression, and both have much less efficacy in regular depression, probably not literally zero but also not enough to be worthwhile antidepressants (especially considering cost). Might zuranolone be an excellent anti-anxiety medication? You’d think so - it should be at least as good as benzodiazepines, which are excellent anti-anxiety medications. And researchers seem excited about allopregnanolone as a master regulator of brain anxiety. But the studies aren’t promising. ROBIN and WATERFALL incidentally assessed anxiety; ROBIN found good results in its postpartum population, but WATERFALL found poor-to-mediocre results in its regular population. Studies are hard, and sometimes even really effective drugs can have trouble showing strong results. But these aren’t encouraging. 13: So where do we go from here? Getting FDA approval for zuranolone for postpartum depression seems reasonable; it’ll probably be cheaper and easier than making people go to the hospital to get allopregnanolone. I’m uncertain about the financials of this for Sage, but since they did the study they hopefully think it’s worth it. Otherwise, I’m not sure. It would have been great if zuranolone had shown robust efficacy against regular depression and anxiety, but this is exactly the kind of great thing that never happens in psychopharmacology (motto: “Disappointing Doctors And Patients Since 1982”). It might be worth throwing it against anxiety disorders and PTSD to see if anything sticks, but I wouldn’t bet on it. The research into allopregnanolone as master regulator of brain anxiety states is fascinating, but as far as I know it hasn’t reckoned with the failure of zuranolone to really treat much anxiety. The cynical part of me predicts that once pharma’s done making money off neurosteroids then all of this will die down, and something else that pharma can make more money from will become the master regulator of everything. I expect that the main thing we get out of all this is somewhat better post-partum depression treatment, which might or might not ever become accessible for ordinary people. 14: Predictions In the next five years… Zuranolone gets FDA approval for major depression: 15%
May 18, 2022 · Original source
Benzodiazepines, which work great, but are really addictive.
Now people are saying that silexan works even better than benzodiazepines, doesn’t cause addiction, and has no major side effects! If true, this would change the world. SSRIs changed the world, and they’re nowhere near as impressive as silexan claims to be.
Reports conflict on whether it works immediately, or “builds up” over a few weeks. Many of the anecdotal reports say they feel better within the first hour, and the aromatherapy studies are also done on the assumption that the substance works immediately. But Aiken says only that patients start to feel improved after a week, and some of the studies don’t show separation from placebo until after a month. I have no priors on this one: benzodiazepines work immediately, SSRIs take a month, and silexan has been compared to both. I’d recommend trying it for a few weeks just to be sure you’re not missing anything.
May 31, 2023 · Original source
Some of our favorite medications, including statins, anticholinergics, and bisphosphonates, don’t reach the 0.50 level. And many more, including triptans, benzodiazepines (!), and Ritalin (!!) don’t reach 0.875.
Big Bang

Big Bang is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between July 14, 2023 and February 19, 2025. The archive places it in contexts such as "simple stories about...the Big Bang"; "the entire flow of causality that went all the way from the big bang"; "the Big Bang and a set of simple rules determining how the starting condition evolves over time". It most often appears alongside Scott, !Kung San, aboriginal people on the west coast of Canada.

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Big Bang
Mention count
3
Issue count
3
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July 14, 2023
Last seen
February 19, 2025
July 14, 2023 · Original source
From trivial to rich: the trick What could an intellectually rich elementary school curriculum look like, if we built it on kids’ cognitive strengths? He gives us one suggestion to help us do this: ask where each discipline came from in the first place. What was math before it was math, for example — or science before it was science? Q: How on Earth could that help? That’ll become clear later, when we finally uncover what Egan thinks “education” actually is, and see what job he wants us to give schools. For now, take it as a tantalizing hint… or, y’know, just ignore it. Elementary literature & language What was literature before it was literature? Before people invented writing, they had rich oral traditions: they told simple stories, recited poems, and shared proverbs. Egan suggests that these bits of oral tradition should form the backbone of the elementary literature curriculum. Q: What sorts of stories? As many as we can, and from as many diverse cultures as possible! Folktales are wonderful, as are myths. Think the Aboriginal story of “The Rainbow Serpent”, episodes from the Sumerian “Epic of Gilgamesh”, the Egyptian story of Osiris & Isis, the Greek story of Orpheus & Eurydice, the Chinese Legend of the White Snake, the Japanese Tale of Amaterasu and Susanoo, the Ashanti tales of Anansi, the Aztec myth of Quetzalcoatl, the English legend of King Arthur, the Maori myth of Maui and the Sun, the Roman story of Romulus and Remus, selections from the Indian Mahabharata, the Anglo-Saxon epic of Beowulf, the Inca legend of the Sun and Moon, the Iroquois Myth of the Flying Head (a real thing! look it up!), and the Ojibwe story of Turtle Island. Q: That was a lot of examples. Are you going to keep giving so many? I’ve got a [mumble mumble mumble] to get to. Sorry about that. Sometimes, though, I feel that a limitation of reading Educated Mind is that, in trying to keep his book to a manageable size, Egan skimped on examples in some places that it matters. It’s easy to read his occasional example and assume he intends that it hold some central place in the curriculum — when all he wants to do is display how rich and diverse the curriculum could be. (Also: good God, I didn’t even include an example from Norse mythology!) So from now on, just assume that every category could be filled with oodles of examples. Q: What sorts of poems? Lots of poems, first of all. We shouldn’t steer toward “fancy” poems — rather, we should find poems that appeal to kids immediately — think Shel Silverstein, Mother Goose, Dr. Seuss, Jack Prelutsky, Edward Lear, or Ogden Nash… that sort of thing. In a biting essay, Egan suggests these poets like these appeal to kids precisely because they leverage kids’ cognitive strengths: “we should find, and encourage saying and singing and shouting aloud verse with strong narrative forms, thumping rhymes and rhythms, the most vivid images, fun with metaphors, and a rollicking story.” Q: Why proverbs? Proverbs stick in your mind almost effortlessly. (“All’s fair in love and war!” “When in Rome, do as the Romans do!” “You can’t judge a book by its cover!”) They’re also useful; they capture general truths. Kids can apply them to all sorts of situations, but also discuss them — to what extent are they wise or foolish? (I remember my surprise when I realized that they couldn’t all be true — because you can’t follow “look before you leap” and “he who hesitates is lost” at the same time! I’m embarrassed to say that I think I only realized this when I was in college.) Elementary science What was science before it was science? Egan suggests: being immersed in the natural world. We might, he writes, encourage elementary students to “adopt” some feature of the natural world — a patch of grass, a cat, a branch, a stream — and simply observe it at length. To do this, we can use the cognitive strength of reverie. Q: Oh, do you mean like kids sometimes do in science class nowadays — describe a thing to a partner, make notes, draw it, and label its parts? No, the exact opposite! That’s all about squeezing the experience into words and forms that we understand. What we want “is less an attempt to know about nature as to know it in some participatory way, to know it as something we are an intimate part of, not set off from”. Q: That sounds a little… “woo” to me. It did to me, too… until I remembered my childhood climbing tree. I didn’t much like to go outside as a child, but I had this one tree that I’d climb up and read for hours and hours. If I close my eyes I can bring to mind the precise texture of its bark, the roughness of its broken-off branches, the coolness of its leaves, the always-surprising solidness of its trunk… I’m bigger now, but I think if I were back in my parent’s yard, I could still navigate its limbs with my eyes closed. I have, at this point in my life, read a fair number of books about trees, but I’d be surprised if all of them together more than equaled the amount I learned from that tree — my tree. Elementary math What was math before it was math? Egan suggests: counting and logic. We might, then, use rhythms, metaphors, stories, and jokes to help kids become fond of these. Q: Counting is pretty… basic. Could it really be improved? Beware of “the curse of knowledge”: Steven Pinker’s phrase for forgetting that something was once difficult! Egan suggests we should spend time helping kids count wonderfully. We can start early with counting rhymes. (“One, two, buckle my shoe! Three, four, out the door! Five, six…”) But we can also help kids use their fingers as metaphors. There are some pretty cool ways of using your hands as an abacus — and did you know that you can count up to 1,023 using just your fingers on both hands, and a knowledge of binary? Q: Logic — I’m intrigued! Aristotelian, or Boolean? Neither, for the time being — Piaget was presumably onto something when he found that young children couldn’t reason abstractly, but he was looking at logic in a vacuum. When we put logic into the context of stories, we find that kids can deal with logic just fine. There’s an entire worldwide network of educators, in fact, called Philosophy for Children, who have written whole books about how to do this, and Egan loves it all. Sometimes they read stories and ask simple questions: “What is friendship?” or “What does it mean to be brave?” They also pose ethical questions: “Is it ever right to spill a secret?” And they pose paradoxes: “Can you step in the same river twice?” Q: You mentioned “jokes” a moment ago. Care to elaborate? Egan thinks that, to help kids get good at math, you should tell kids jokes. Q: That’s… new. I think so, too — but he backs it up pretty well. To be funny, jokes (or at least most kid jokes) rely on a leap in logic: Why can’t you trust an atom? They make up everything. Knock-knock. Who’s there? Boo. Boo-hoo? Don’t cry, it’s just a joke! To understand the joke, kids have to follow the logic — spotting patterns, making connections, and tracking what their audience expects a word to mean. That’s a lot of cognitive lifting. And Egan goes further, suggesting that we grit our teeth and create methods to help kids invent their own jokes, no matter how horrible they’ll be at first. (The things we do for learning…) Q: Wait wait wait! What about addition facts, and multiplication tables, and fractions? Egan emphasizes that his methods are designed to be add-ons to the standard math curriculum. In general, he’s a don’t-blow-up-the-system sort of guy, and if something seems especially weird, you should probably assume it’s an add-on to the regular curriculum rather than a replacement, even if I forget to say so. Elementary arts What was art before it was art? Egan suggests we pop our heads into Paleolithic caves for our inspiration. Whatever the specific meaning of all those charcoal elk and aurochs and mammoths (communication with the spirit world? art for art’s sake? a way to impress babes?), Egan thinks it obvious that they were also an attempt to capture an intense experience that would be difficult to express in words alone. What did it feel like to be near an aurochs, or a saber-toothed tiger? “The arts help us,” Egan writes, “to hear and see afresh, to force our perceptions and sensations to experience again the immediacy and vividness of the world”. If we follow this, then, we don’t want to help kids build “art skills” so they can draw like an adult — rather, we want to help them amass a repository of diverse aesthetic feelings that they’ll want to express. We should provide them with a riot of experiences. Q: That couldn’t be more opaque. Examples, please! Egan writes that we should have children learn to whistle, sing, and click their tongue; we should help them emulate the ways a skunk or a hawk or a stick bug might move through a space. We should expose them to scores of different temperatures and materials. In music, we should help them love Beethoven, yes, but also the Beatles; Tchaikovsky, yes, but also Tuvan throat singers, and also John Cage, whale song, and bird song. Q: That’s a lot of experiences, but what would they be doing? An interesting aspect of Egan’s view of education is that he doesn’t seem to think we should push kids right to the “doing” phase. He wants to help kids cultivate an affective relationship with the world. In any case, he writes that as students get more experienced, we should prompt them to move from merely enjoying these experiences to trying to systematically shape similar experiences. And drawing, painting, and playing music could easily be folded into other parts of the curriculum. Elementary social studies What was social studies before it was social studies? Well. Remember how, just a moment ago, I wrote that you could assume that you should probably assume that Kieran isn’t in favor of junking the curriculum as it currently stands? He suggests we very carefully pick up the elementary social studies curriculum, place it into a trash can, and set the whole mess on fire. He isn’t worried about much of importance being lost. (Remember that the “expanding horizons” model is, to him, the original sin of 20th century educational reform, and he repeatedly quotes student surveys showing that “social studies” regularly wins the title of “most boring subject”.) In its place, he suggests we put history — which, he hints, we should think of as the centerpiece of the elementary curriculum. So the real question is what was history before it was history? His answer, surprisingly, is myth. Q: Egan wants us to teach myths as if they were history? Not at all. What he suggests, though, is that we look at how myths operate as narratives — so we can design an intellectually vivid history curriculum. And myths really are special: each is built on at least one binary (like weak vs. strong, or lies vs. truth, or so on), and uses that to tell the story of the big picture of the world. They’re so powerful that people can understand it, remember it, and love it — even if that thing never happened. We should take that power, Egan says, and apply it to things that really did happen. Q: So what history does he think kids should learn in elementary school? The great struggles of humanity from across the whole. Flippin’. World. We’re still talking about young children, so these should be done as simple stories. The goal isn’t to make them history PhD’s, so we needn’t even try to put them in any sort of order. Egan suggests that, in first grade, we pick a single binary like “freedom against oppression” and tell kids a welter of stories, again from as many cultures as possible, and as many times in history as possible. Q: Can you give examples? Oh, all right — in first grade we can tell kids the stories of the war of the Greek city-states against the Persian empire, and the slave uprising of Spartacus against the Romans. We can tell them about the plight of Jews in medieval Europe, and of the unsuccessful Sepoy Rebellion in India against the British. We can tell the stories of the American, French, and Haitian Revolutions, and about the Chinese Taiping Rebellion against the Qing Dynasty. We can tell them the story of the escaped slave Harriet Tubman returning to the South to rescue her kinsmen, the story of six-year-old Ruby Bridges facing threats to integrate her elementary school, and the story of how the Mau-Mau uprising led to modern-day Kenya. We can tell the stories of Mexican-American union organizer Cesar Chavez and of Malala Yousafzai surviving an assassination attempt to advocate for female literacy. The world does not lack for stories of oppression and liberation that can capture the attention of a six-year-old. Q: That’s… huh. What stories might they hear in second and third grade? Egan gives examples, but I won’t list them here. He suggests we use a similar approach for each, except that we swap out the binary each year. He thinks “the struggle for security against danger” would work well for year two, and “the struggle for knowledge against ignorance” would work well for year three. (That year could have a lot of overlap with the science curriculum.) Q: Anything else, for history? Yes — they should get a sense of Big History. They should get some simple stories about the ice age, the Cenozoic, the age of dinosaurs, the Paleozoic, the origins of our solar system, and the Big Bang. (Because if the ancient Norse can tell their story of the beginning of the universe, by gum, we can tell ours, too.) To sum up Egan argues that the problem of early schooling is that it’s trivial — and it’s trivial because the dominant theories of educational psychology see children as lesser versions of adults. What else would we teach them, except dumbed-down versions of what adults learn? But children have certain cognitive strengths that schools aren’t making systematic use of. If we rebuild elementary schools on those strengths, we could turn schooling upside down. We could stop seeing the curriculum as a bag of information to impart, and start seeing it as a set of great stories to tell — and invite kids into. Kids could experience (both intellectually and emotionally) the great struggles of humanity and see that they can join in them. Students could experience the story of education as the beginning of a very real adventure. Egan’s elementary school: some skeptical questions Q: I’m not sure I’m understanding what you mean by “mental images”. Care to explain? It’s an interesting fact of human cognition that just a few words can whip up a complex mental experience. Egan doesn’t just mean what we might call “visual imagery” — the ability to hold, say, the image of a bespectacled, spat-wearing duck in your mind without seeing a photograph. He’s also including what psychologists call auditory imagery, olfactory imagery, gustatory imagery, and tactile imagery. Q: How could all of that be helpful in schools? Humanity has a built-in VR system, and we’re not using it! Egan invites us to pretend we’re teaching a class about the humble earthworm. We might list off facts — “earthworms are so many centimeters long, move through soil by means of their something-or-other muscles…” but he suggests we can evoke images, say, “of what it would be like to slither and push through the soil, hesitantly exploring in one direction then another, looking for easier passages, contracting and expanding our sequence of muscles segment by segment, and sensing moisture, scents, grubs, or whatever”. Those facts are now felt by the student; the knowledge has become part of them. And just a few words can spark a complex mental experience, one going beyond literal images to include imagined sounds, smells, tastes, and more. These experiences can feel real and stick with us. (That these mental images are so easy to evoke, and so meaningfully felt, feels something like the proverbial hundred dollar bill on the ground.) Q: How could metaphors be helpful? It really is interesting that so much of the “constructivist” turn in psychology — that is, the notion that children don’t absorb knowledge, but construct it — has continued to focus on logics-mathematical reasoning, when there’s been mounting evidence for decades that metaphors are more central. It’s not just that we use metaphors to better understand things we already know, we also use them to grasp new knowledge. What’s more, psychologists have devised tests to measure the skill at metaphor-making, and have given them to people of different ages. What they found was that eleven-year-olds make more metaphors (and higher quality metaphors) than do undergraduates — and that four-year-olds have both groups beat. Again, hundred dollar bills on the sidewalk. Q: Your talk of “binaries” has me worried — binaries like good/evil and male/female are the source of so many of our most pernicious stereotypes! Isn’t the purpose of education to get us beyond stuff like this? Yes, it is! Education is supposed to complicate our understanding — but that means we’ve gotta start somewhere, and binaries provide us a natural starting place. As an uncontroversial example, think about temperature. We all begin as babies by perceiving two temperatures — hot and cold. Later, we add on intermediate categories — warm and cool. (Note that the human body is the assumed mid-point to temperature. Binaries often work like this; “big” and “small” mean “bigger or smaller than me”, “nasty” and “kind” mean “nastier or kinder than I am, except when my brother is really asking for it”, and so on.) A good story (and an Egan-inspired elementary curriculum is, in a sense, nothing but good stories) will go further, and transform the binary. Toy Story is grounded in the binary of abandonment/belonging: at the beginning, the toy cowboy Woody belongs to his owner, and has his affection. Then a rival comes who threatens his belonging. In trying to get back to belonging, Woody is entirely lost — and to save the day, he has to come to a deeper understanding of what belonging means. Now, all lessons can’t be Pixar movies. But the good stories (especially in literature and history) will challenge and subvert the binaries they begin with. Q: I see the pattern of Egan drawing from “as many cultures as possible”. Why so many? Is this a political correctness thing? If it helps to think of it as such, then, sure! I don’t think Egan would have had a problem with that. But his ultimate reason for including so much diversity goes deeper. For Egan, including such world-wide diversity isn’t optional, and the answer to why is bound up in his definition of education. (Keep reading.) His answer also insists that we, whenever possible, also include stories from the Bible and Homeric epics (the Iliad and Odyssey). Q: Mmm, stories from the Bible aren’t going to fly in my local school! So be it! Egan doesn’t spend much time obsessing over the practicalities of… His interest is in describing what an ideal education might look like, if it were possible. Every lesson, every classroom, and every school is necessarily a compromise. Q: You make a big deal of poems. But isn’t poetry dead? An interesting contrast can be made to classical education, which also has kids read a lot of poems — they see knowing great poems as one of the marks of an educated person; again, for an academicist, it’s the information that transforms. Egan begs to disagree. Poems are important because they’re a wonderful way to train their cognitive strengths, like rhythm (poems are language fueling by thumping). We want to help kids learn to use this tool better, and a great way to do that is to help them recite poems that they’ve learned by heart. Q: “Learn by heart” — is that code for “memorize”?! It is! Egan is actually quite big on memorization — he points out that all the knowledge in the world can do nothing for a person once they’ve forgotten it. He didn’t, however, appreciate the academicist focus on memorizing without understanding (or at least enjoyment). Q: I’m still worried about the science curriculum, as you’re describing it. Can you allay my fears? Honestly, while I feel there’s something profoundly right to how Egan is describing early experiences of nature, I feel the same way. Note that there’s more science coming in the social studies curriculum. But if that’s still not enough, one could bring down aspects of the middle school science stage. Q: Anything else that Egan suggests we do in elementary school literature and language? He suggests that we help kids learn a second language! This is so obviously true (why do American schools typically wait until kids lose the ability to naturally absorb languages to start teaching languages?) he doesn’t belabor it, though. Q: You had mentioned that Egan’s vision seems more internal-focused. Should we be worried about that? While I strongly suspect that his curriculum would make kids more creative in any way you’d like to measure it, Egan wasn’t particularly interested in “creativity” — he was more about helping kids find the world interesting. I get the sense that he thinks kids will do things with minimal prompting once they’re loaded up with complex internal experiences. Q: I think I’m beginning to understand Egan — is he basically saying “make learning fun”? “Fun”, applied to education, is a dangerous word. Egan worries about the dangers of an emotionally unserious curriculum producing emotionally stunted adults. That doesn’t mean we need to tell students only “serious” stories — only that we treat the world honestly. “Disney-esque sentimentality is the exact emotional equivalent to intellectual contempt”. Q: But aren't some of these stories too dark for children who have themselves experienced oppression and disaster? Egan argues that these stories may be especially helpful to them — they can help them understand their struggles better, and give voice to them. Q: At the very start of this, you promised us “rationality”… but I’m not seeing rationality here! All this talk of “adventure” almost seems to go the opposite direction. What gives? Wait for it. But for a hint right now — Egan is fond of citing his fellow educational theorist Jerome Bruner, who claimed “any subject can be taught effectively in some intellectually honest form to any child at any stage of development”. Bruner was criticized for that; his critics charged that he was ignoring learning differences and socio-economic realities. Egan thinks he was profoundly right. Part 3: A new kind of middle school What’s the matter with middle school? What was middle school like for you? In math, I recall a jumble of barely-related topics. In literature, I remember reading great literature — Frankenstein, Romeo and Juliet — only in their dumbed-down summary formats. In social studies, I remember teachers proclaiming on the first day of class that unlike all of our previous history classes, this class wouldn’t be about names and dates… and then going on to memorize names and dates. And in science, I remember being forced to dissect a frog only to discover that frogs are — you guessed it — made of slimy frog parts. Your mileage may vary, but for a lot of us, middle school feels like getting booted out of the (in retrospect) Eden of elementary school, and like marking time before the serious studying of high school. It feels meaningless. In my favorite of his books, Egan calls so much middle school curricula “human deserts”, noting “we have created a system in which the importance of human emotions for meaning seems barely noticed”. Why so meaningless? If our dominant approaches to educational psychology fundamentally misinterpret younger children, Egan suggests, they basically throw up their hands when faced with pre-teens and teenagers. Mainstream schools begin to introduce vocational training to help lighten the load, and Maria Montessori famously suggests that adolescents should be sent to go run a farm. Egan is sympathetic to those responses, but points out that they don’t do much to lighten the load that the academic curriculum often becomes at this age. This feeling of meaninglessness, he argues, is utterly tragic — it comes just when a hunger for meaning blossoms in adolescents! We can see that hunger for meaning in their lives outside the classroom, where their interests ramp up into veritable obsessions. What are adolescents obsessed with? What might we see, if we become Jane Goodalls of early adolescence? First, teens are obsessed with gossip. The motivations of others — why did he do that? and what was he THINKING? — are hypothesized and talked to death. Second, that they’re pulled toward idealism. Many feel a dissatisfaction with the world as it is, and feel a romantic urge to make it a better place. They’re often lured into simplistic beliefs that promise to help them do that. Third, they love extremes: they want to find limits, and test them. Obviously, this can show up as risky behavior, but we can also see it in their love for the bizarre — note adolescents’ fascination in things like aliens, cryptids, and ghosts. (Egan loves pointing out that The Guinness Book of World Records is a perennial bestseller among kids at this age. How else would they find out who had the world’s longest fingernails?) Fourth, they gravitate toward heroes — people who push the edges of those limits. By celebrating heroes, they can vicariously share in their transcendence. Look for the posts hanging up in a teenager’s bedroom to guess what boundaries they feel most hemmed in by: athletes push against physical limits; a death metal guitarist might push against authority and conventional morality. An activist or entrepreneur might push against our dulled morality or our sense of what’s possible. Finally, we might spot teens taking up hobbies and making collections. Hobbies can be a way to identify yourself as part of a group against the rest of the world (“I’m the sort of person who goes bird-watching!”), and collections can be a way to climb the status ladder inside the community. Egan points out that a collection can also be a way to feel like you have control over what you’re discovering is a very big and complex world of detailed information (“I’ve spotted every one of the fifty most common birds of Texas — even the black-capped vireo!”) Egan’s insight is that these obsessions give teenagers a sense of meaning, and that we can use them as tools to make middle schools that overflow with meaning. From meaningless to meaning-soaked Again, Egan sketches out a new kind of curriculum subject-by-subject. Before, his trick was to ask where the subject first evolved out of; now, it’s to ask who first discovered or created the specific content we’re teaching. “All knowledge”, he writes, “is human knowledge. Everything we know is knowable through the lives of its inventors, discoverers, or users, and we can have access to that knowledge through the hopes, fears, or intentions that drove them”. Middle school math Who first discovered the concepts students learn in math? The answer, of course, is a wide diversity of curious men and women living across the world over the last few thousand years. Egan says: bring those people into how we teach math. If we used gossip and heroes to help students find it meaningful, what kind of math would result? When we teach the Pythagorean theorem, we should give a sense of who Pythagoras was — a cult-founder who worshiped numbers to find God, whose followers (according to a piece of ancient gossip) murdered one of their members who discovered irrational numbers! Q: Well, sure, that works for Pythagoras, but he’s a known nut job; surely most math doesn’t come from such interesting roots? When we teach the Cartesian coordinate system, students should meet Rene Descartes, the Calvinist French polymath who saw the possibility that math could decipher the world, if only we could unite algebra and geometry… and invented the xy-plane to do exactly that. When we teach scientific notation, we should call our students’ attention to the importance of the number zero, and tell them the story of the Pope who tried to introduce Arabic numerals to Christian Europe and may have been assassinated because of it. When we teach algebra, we should ask students why “algebra” is Arabic for “the fixing of bones”, and tell the story of what Muhammad ibn Musa al-Khwarizmi was up to. We could do this all day. Literally everything students learn in school was first invented or discovered by some interesting person who was struggling to accomplish something hard. To learn is to connect with those people, whether we know it or not. Egan says: help kids know it. Math has been dehumanized: re-humanize it. Q: So the math curriculum needs to become a history of math curriculum, and math teachers need to become history teachers? No, the content needn’t change. But with surprisingly little work, we can bring in the gossipy stories of heroes, and their obsessions can spread to students. Middle school science Who first discovered the things students learn about in science? If you’re thinking “scientists”, you’re only partially right. Most of the big-picture ideas that we now think of as “science” were discovered before the word “scientist” was invented, or the discipline was professionalized. Frequently, they were hatched by true amateurs, working in their free time, hungry to unlock the secrets of nature. We can use gossip and heroes to spread their obsessions to students just as we taught math, but Egan points out two twists. The first is that the content itself can take on heroic qualities: everything is impressive, when you look at it in a certain light. In an interview, Egan once said: “My book is an attempt to show that, indeed, everything in the world is wonderful, but that schools are designed almost to disguise this slightly shameful fact. We represent the world to children as mostly known and rather dull. The opposite is the case: we are surrounded by mystery, and what we know is fascinating”. What would even the most boring subjects look like, if we emphasized their heroic qualities? Well: What’s a tooth? Bone, wrapped in rock, surrounding tiny cells that your body feeds with blood. What’s a bar of chocolate? A crystal of jellyfish-shaped fat molecules stacked together; when you put it in your mouth you shake them apart into a writhing confusion. What’s the air around you? The bottom of a 10-mile-deep ocean; when you put your tongue over a soda straw and your Pepsi stops leaking out, it’s not because a “vacuum” is “sucking” it up, but because that ocean is squeezing it into your face. Again, we could do this all day! And in middle school science, we can. Everything in the world is wonderful; we can help students see this again and again. The second twist is that science is a subject rich in extremes. Here Egan introduces a concept that we’ll see crop up again: “15-minute segments”. To help us fit as much wonder as possible into a school day, he suggests we supplement the usual school subjects with a few quick lessons. To infuse science with extremes, he suggests we add on three: “human & natural records”, “extremes of animals & plants”, and “cosmology”. Middle school history Who first made the things students learn about in history? Why, the historical characters themselves! Since we’ve given kids a grounding in history in elementary school, now we can build on that, going through many of the same events as before, but in more depth, and more vividly. We’ll leverage the interest with other people’s inner lives to tell stories focusing on the perspectives of the people who made history — zooming in, when possible, on scandalous details. We’ll leverage the tool of idealism to choose historical characters who chafed against their surroundings, and understand what they were trying to accomplish. What was their vision of the world? What did they hope for, and what did they fear? Q: Isn’t the “great man” approach to history out of fashion? Egan’s approach doesn’t say that “great men” made history — it’s just leveraging gossip to help kids see history as something meaningful that can expand their own possibilities. “Early adolescence is commonly a time of intense and vivid emotional life, and also a time of deepest boredom and depression… [We] can give shape to the intermediate curriculum and offer the students a world that is rich, complex, varied, and as intense and vivid as their own emotional lives”. We also should add on another “15-minute segment” just to pump in as many biographies as possible, and from people who don’t always fit into the normal history curriculum. Call it “Brief Lives”, and throw in anyone who’s struggled to push some limit — Mary Wollstonecraft, Jesse Owen, Dietrich Bonhoeffer, one of the students’ great-aunts, whoever. As students get older, this can transition to “People and Their Ideas”. Here, we’d focus less on the details of the person’s life, and use it as a backdrop to showing how meaningful some of history’s most important ideas could be. Think Aristotle and syllogisms, Edward Said and orientalism, Confucius and propriety, Cornel West and race, Buddha on the four noble truths, Muhammad and the five pillars, Karl Marx and communism, Adam Smith and the invisible hand, Thomas Hobbes and the state of nature, John Locke and natural rights, Jeremy Bentham and utilitarianism, Thomas Aquinas on the sacraments, Martin Luther on faith, Voltaire on the freedom of speech… you get the idea. Q: Can you really get a profound understanding of utilitarianism in 15 minutes? Yes! The point of this segment isn’t to develop a systematic understanding of any one idea, it’s to introduce students to the exciting possibilities of human thought. (As a bonus, this might make them less likely to fall for the first ideology that they encounter later in life.) Diversity is important for this — as it is with culture. Throughout this, we should also be trying to expose students to as much cultural diversity as possible, because in high school, we’ll be trying to make sense of our society, and it’s impossible to do that unless we have something to compare it against. Middle school literature & language You might think that this subject would be easy — that middle school literature is already filled with “strong and clear narratives”, that it deals with “transcendent human qualities such as courage, love, and persistence”, that it focuses on “extremes of human experience”, that it examines “something strange and exotic”. You’d be right! Egan’s pretty happy with a bog-standard middle school literature curriculum, done well. In this part of the book, his spends most of his limited space suggesting three rather odd activities which could also be useful — especially for increasing students’ awareness of language, so they can use it better. The first is etymology — not, however, memorizing lists of roots, but in being told the entertaining backstories of specific words. Take the word “berserk”, for example — we now use it to mean something relatively mild (“if my mom catches me coming home late, she’ll go berserk”), but it comes from an old Norse word meaning “a raging warrior of superhuman strength”. And that’s because ber meant “bear” and serk meant “shirt”: soldiers of the bear cult would don the skin of a bear to, in their minds, transform into one — howling, foaming at the mouth, and gnawing the rims of their shields. (Most adults walk through life with little understanding that the words falling out of their mouths are entities, with their own back-stories. Communication is, at the very least, more interesting when we become aware of this.) The second is to add on another language to learn — not, this time, to become fluent in it, but just to become aware of how very different human languages can be. (For native English speakers, Sanskrit might work well, or Cantonese, or perhaps even ancient Egyptian. Again, the point isn’t for this language to be useful — it’s to explore diversity.) The final one is to study humor — not just jokes anymore, but comedy at its finest. Egan cites (at length!) Monty Python as a group of people who were particularly brilliant in their use of the English language. Examining their skits can lead us into not just an appreciation of semantics (the study of how meaning is made from smaller pieces, like etymology) but also pragmatics (the study of how meaning is made in social situations). Pretty heady stuff, for a conversation about a dead parrot. Part 4: A new kind of high school I’ll confess — I loved parts of high school… and among nerdy folks, I suspect I’m not alone. For some of us, this was a golden time. Even at my local public high school, I had access to academically thrilling classes — especially, in my last two years, advanced literature and history. I felt like I was finally understanding the ideas that mattered. In any case, Egan is quick to acknowledge that, at this level, the sort of education he advocates really is being practiced in some places. What he can add is an understanding of what makes it wonderful, how to make it even more wonderful, and how to make it wonderful for many, many more people. What’s the matter with high school? Far too often, even when high school classes are intellectual, they’re dry. For the majority of students, all this academic stuff is experienced as utterly lifeless, a mass of dead information to be squeezed inside one’s head for a test and then left to evaporate. Egan mocks the curriculum wars that seem to be a permanent feature of the teaching life; quoting the sociologist Pierre Bourdieu, he says “while the academic left and right bicker over whether the curriculum is too traditional or too radical, they fail to recognize that most students absorb so little of academic culture that the bickering is largely irrelevant”. Why so dry? Egan suggests three reasons to explain this. First, because high school academic classes are too often masses of small details with no sign of the big picture. Second, because they’re typically slavishly disciplinary, and aren’t able to address the questions that span the disciplines. Third, because they’re often designed to bring students through what everyone is sure of, and hide away any controversies. In all of these, Egan suggests that what’s called “academics” in high school is too often a dim imitation of what real academics are actually practicing. There’s a fourth reason, though, and it’s probably the biggest of all — by the time they get to high school, most students haven’t actually learned that much! An academic approach is designed to connect small details into the big picture; for people who arrive in high school (and college) classes without having already collected much in their heads, academics are going to taste dry. (An implication of this for anyone trying to improve schools is that we might not want to start with high schools. If your goal is to create a new kind of academic learning, first start at elementary school — or barring that, middle school.) What motivates mad scientists? When we wanted to re-conceive the elementary and middle school curriculums, we looked at what students were already good at — kids’ cognitive strengths and adolescents’ obsessions. For this level it might be easier to look — for reasons that will become clear when we finally unveil Egan’s crazy-sounding definition of education — at the sorts of things that bring intellectuals joy. Q: Which intellectuals? Take your pick. Galileo, Einstein, Smith, Marx, Goodall, Chomsky, Curie… all the people who took to the life of the mind like fish to water. But that’s a lot to hold in my mind at once, so I’m just going to think about Doc Brown from Back to the Future: He was high on intellectualism I’ve never been there, but the brochure looks nice Let’s call these people “mad scientists”. And let’s pretend we once again took up our job of being primatologists, and snooped on these folks “in the wild” (“in the lab”? this is beginning to get recursive…)… what would we find motivating them? Asking simple questions, for one. (What is space? What is society? What is a human? What is language?) Building general schemes (big theories) that hold lots of evidence together. Finding their place in the cosmos. And (perhaps above all) seeking certainty. Once again, Egan suggests we use these as tools to remake the curriculum. From dry to daring What could a high school curriculum look like, if it were rebuilt on these tools? Once again, Egan has a trick. This time, it’s to ask what fights have driven the development of each of these fields forward — and how we can help students enter them. First, a mini-segment! Intellectuals invented the academic disciplines to better pursue the life of the mind, but the disciplines can get in the way. Some of the most important intellectual discoveries that could help students are too big to fit into any of the disciplines. We need a place to introduce them plainly. Egan proposes another mini-segment — again, just 15 minutes a day, a few times a week — called “Metaknowledge”. Q: Isn’t that already in the International Baccalaureate program? Yes, he acknowledges that he’s borrowing from that! This segment would introduce ideas that would enrich student thinking across the disciplines: game theory, cognitive biases, systems thinking, Bayesian reasoning, epistemology, ethics, logic, cultural evolution, and so on. High school literature How can we help students enter the big fights of literature? Intellectuals of a literary bent — professors, critics, poets, novelists — delight in arguing over literature like rabbis arguing over the Talmud. Take, just for one example, the debates over Shakespeare’s character of Ophelia. Does she love Hamlet, or is she a victim of his emotional abuse? Is she truly insane, or is she acting? Is she passive, or is she pulling the strings? Oceans of ink have been spilled arguing over questions like these; our students can, perhaps, spill a few ounces more. The usefulness of arguing literature, for Egan, isn’t that it’s oh-so important for educated adults to know a lot about Ophelia. (This, again, was where the academicists went wrong — in thinking that being educated was about getting the best knowledge in your head.) Rather, arguing over literature is a training arena for the all-important intellectual move of this kind of understanding: building general schemes out of evidence, and struggling with anomalies. One person, for example, might hold that Ophelia is insane, and cite all sorts of obvious evidence — her father just was murdered by her lover, she rants nonsense while (bizarrely) handing out flowers to friends… But then he’s challenged when he reads a scholar pointing out that, to people in Elizabethan England, types of flowers have symbolic meanings. How does he deal with that? He could ignore it, claiming it an over-reading of Shakespeare. (Sometimes a flower is just a flower!) Or he could address it, complicating his own scheme. This intellectual work is best done with other people, who are incentivized to challenge your understanding of something, and go back and forth, building competing models and calling attention to anomalies. This process — the “dialectic” — pops up again and again in the academic disciplines. It’s the center of how understanding works, at this stage. And the nice thing about practicing it on literature is that, more so than in history or science, the evidence is shared knowledge — it’s right in front of everyone, written out. But there are other ways literature class can be helpful to the general life of the mind. Egan also suggests that we’ll want to specially include literature that helps students understand complex ideas. Camus, Orwell, Borges, Calvino might be particularly helpful here… and I imagine that genres like science fiction and magical realism might be particularly useful, too. (Note, though, that once again none of this requires a radical remaking of the curriculum, or of the canon of texts that we traditionally assign to high schoolers.) Q: Oh yes, the canon — what does Egan have to say about the canon wars? When he wrote Educated Mind in the nineties, the long-brewing canon war was approaching its inevitable apocalyptic climax. On one side of this Plain of Megiddo were the pro-canon traditionalists, arguing that we should keep assigning the texts that had been argued over for centuries. Facing them were the anti-canon reformers, arguing the standard texts over-represented the perspective of dead white men. Onto the middle of the plain rides Egan on a white horse, who bellows above the din: “I’VE GOT A BUSLOAD OF HIGH SCHOOLERS WHO WANTS TO JOIN IN, EVERYONE OKAY WITH THAT?” To do so, he says, we need to give students the arguments from both sides. So, for example, bell hooks, Edward Said, and China Achebe should be on the syllabus, as should Allan Bloom, Mortimer Adler, and Diane Ravitch. And of course they should actually read the texts cherished by both sides, too, so they can argue better. High school history How could entering the big fights help us reinvent high school history? First, we might look for dueling histories. It’s time for students to get into historiography and understand that history isn’t just what happened, it’s something we make. We might help kids read chapters from Howard Zinn’s socialist history of America alongside the corresponding chapters from Paul Johnson’s conservative history of America. How could big questions help? We want to help students see how various people have disagreed over some of the big questions of what human history is, at its most basic. We can have them compare Steven Pinker’s theory of civilization’s progress (Better Angels of our Nature) with Yuvah Noah Harari’s theory of civilization’s woes (Sapiens). We could have them compare so-and-so’s account of human history as an ever-expanding unlatching of energy sources with Robert Wright’s account of human history as unlatching more and more positive-sum games (Nonzero). What role could the lure of certainty play? To help them grow their skills at finding anomalies, we might help them work through pseudo-histories and conspiracy theories. Q: Conspiracy theories! Oh, come now, you’re playing with fire. Well, the world is on fire. Our students will spend the rest of their lives encountering terrible-but-beguiling arguments about how the world works; if we don’t prepare them for those, what have we been doing? So we should introduce arguments that the Moon landing was a hoax, that the Illuminati founded America, that aliens built the pyramids, and so on. At no point can we demean students for falling for any of these theories — the job of a teacher at this stage, Egan writes, is to support students in their reasoning even when their beliefs are offensive and stupid, gradually offering anomalies. There’s no way out of bad theories except through them. By the time students graduate, we want them to have wrestled with terrible ideas and — for a while — lost. They need to experience what it’s like to change their minds about something they felt strongly about. They need to viscerally realize, in Feynman’s famous phrase, “The first principle is that you must not fool yourself and you are the easiest person to fool.” High school natural science How could entering the big fights reinvent high school science? At present, so much of the high school science curriculum — especially “honors” classes — is oriented toward helping amass details. (The same is true of 100-level university classes, which famously “survey” the field to prepare for more advanced studies. I always thought this was stupid — of the huge lecture hall of students in my Geology 100 class, how many went on to take even a second course?) The meaty debates that propel science forward are held back. Egan complains: “The more general and speculative theories in any discipline are treated like an unconventional and disreputable relation who, even though the children find her exciting and entertaining, must be kept hidden from view, her very existence denied as long as possible”. This is a stupid approach — students with an adventurous bent are convinced that science isn’t for them. Egan proposes, simply, that we flip this, and organize high school science classes around the big debates. We shouldn’t be ashamed at how, well, adolescent this might look: “the dramatic, speculative, and contentious theories will be up-front in the early years of the [high school] curriculum”. What might those be? Egan doesn’t give a list, but we can spitball some: instead of explaining what “matter” is from the top down, a physics class could problematize “matter” by following the debates over the nature of dark matter and dark energy, and by becoming familiarized with the various interpretations of quantum mechanics
July 16, 2024 · Original source
But it stops being true when the sense of self shifts, when you get out of the car, or when you stop distinguishing yourself from the entire flow of causality that went all the way from the big bang into the experience of this moment.
February 19, 2025 · Original source
Consider a mathematical object like a cellular automaton - a set of simple rules that creates complex behavior. The most famous is Conway’s Game of Life; the second most famous is the universe. After all, the universe is a starting condition (the Big Bang) and a set of simple rules determining how the starting condition evolves over time (the laws of physics).
Big Brother

Big Brother is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between May 28, 2021 and May 23, 2024. The archive places it in contexts such as "some omnipresent Big Brother who brings everyone together"; "He opens by stating that he “obviously cannot speak with complete freedom” because Big Brother is watching"; "There was an evil totalitarian government with a possibly-fake leader named Big Brother". It most often appears alongside Africa, Britain, Communism.

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Big Brother
Mention count
3
Issue count
3
First seen
May 28, 2021
Last seen
May 23, 2024
May 28, 2021 · Original source
Bregman blames the shift from groups of 150 to nation states on the invention of God. If you're trying to get a people group the size of a nation state to work together to win a war, or build a pyramid, then personal relationships are not going to do it. What you want is some omnipresent Big Brother who brings everyone together, and keeps everyone in line. How does this idea stack up historically? It's easy to imagine Christianity or Islam as a unifying force, but they didn't turn up until countries and even empires were already old hat. Judaism is the only similar religion that could date to pre-civilisation, and it's not a promising candidate. At best it touched a Palestinian backwater, and by the Jews’ own account they only lastingly unified under a king when they saw all the nations around them doing it (1 Samuel 8:5 - the temporary alliance of the tribes under Moses and Joshua is hardly sufficient for Bregman's purposes). All the other candidates for primeval religion are polytheisms which are not designed for pushing unification. Explaining religion as invented to forge nations is like saying the horse was invented for ploughing. Armed with a horse collar it is possible to harness a horse for ploughing, but as an explanation for the horse it leaves a lot to be desired.
July 22, 2022 · Original source
Fortunately, we have exactly that. In 1987 he gave a speech entitled, appropriately enough, Comments On The Society Of The Spectacle. The first thing that jumps out is a jarring shift in tone. Debord’s remarks have a paranoid cast that would fit right at home on r/conspiracy. He opens by stating that he “obviously cannot speak with complete freedom” because Big Brother is watching.
May 23, 2024 · Original source
What is the name of Dorothy’s dog in The Wizard of Oz? (Toto, 80% correct) I don’t think any of these are taught in school. They’re absorbed by cultural osmosis. It seems equally likely that Romeo and Juliet could be absorbed the same way. Wasn’t there an Academy-Award-winning movie about Shakespeare writing Romeo and Juliet just a decade or so before this study came out? Sure, 19% of people know that Orwell wrote 1984 - but how many people know the 1984 Calendar Meme, or the “1984 was not an instruction manual!” joke, or have heard of the reality show Big Brother? Nobody learned those in school, so maybe they learned Orwell’s name the same place they learned about the other 1984-related stuff. Okay, so school probably doesn’t do a great job teaching facts. But maybe it could still teach skills, right? According to tests, fewer than 10% of Americans are “proficient” at PIIAC-defined numeracy skills, even though in theory you need to know algebra to graduate from most public schools. I took a year of Spanish in middle school, and I cannot speak Spanish today to save my life; that year was completely wasted. Sure, I know things like “Hola!” and “Adios!”, but I also know things like “gringo” and “Yo quiero Taco Bell” - this is just cultural osmosis again. So it seems most people forget almost all of what they learn in school, whether we’re talking about facts or skills. The remaining pro-school argument would be that even if they forget every specific thing, they retain some kind of scaffolding that makes it easier for them to learn and understand new things in the future; ie they keep some sort of overall concept of learning. This is a pretty god-of-the-gaps-ish hypothesis, and counterbalanced by all the kids who said school made them hate learning, or made them unable to learn in a non-fake/rote way, or that they can’t read books now because they’re too traumatized from years of being forced to read books that they hate. II. Step back a bit. Why should any of this be true? That is: Why would most students forget things that schools teach many times?
(full list of things I remember about 1984: the author was George Orwell. There were three countries called Eurasia, Eastasia, and Oceania. Britain was part of Eurasia and called “Airstrip One”. Every so often the countries would shift alliances, and the government would lie and say “we have always been at war with Eastasia”. There was an evil totalitarian government with a possibly-fake leader named Big Brother, and a possibly-fake rebel with a Jewish-sounding name. It divided people into Inner Party, Outer Party, and proles. There was a language called “Newspeak” with neologisms like “doubleplusgood” that made it hard to question authority. There were characters named Winston and Julia. Winston sort of tried to be against the evil government; he got tortured through some horrifying thing involving rats; at the end he said he loved Big Brother and 2+2=5. Something was weird about Julia and maybe she was an agent of the evil government or something. I think these are all facts that I might encounter in the wild once every few years.)
Big Tech

Big Tech is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between March 05, 2021 and December 10, 2025. The archive places it in contexts such as "Hawley's Twitter account is certainly a strident critic of Big Tech"; "effects of Big Tech and other large corporations"; "It’s a plot by Big Tech to distract from other harms they are committing". It most often appears alongside Trump, Twitter, Bernie Sanders.

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Big Tech
Mention count
3
Issue count
3
First seen
March 05, 2021
Last seen
December 10, 2025
March 05, 2021 · Original source
Hawley's Twitter account is certainly a strident critic of Big Tech... but what are the actual policies he is proposing? I mean this genuinely, I have tried to find it, and I can't find much. Maybe they were going to be in that book deal that got cancelled, but that's the thing... he's not a pundit, he's a senator! Proposing legislation is kinda part of his job. The main thing I can find is his amendment to Section 230, but do you genuinely think he wants to pass that? I don't think it would actually fix his major criticisms of the industry?
Sorry for the rant, I admit it just bothers me. I would so much rather the GOP have real policy ambitions that I disagree with than the fact that they seem to have largely given up on those ambitions. And I think it's important to draw your own judgment on whether or not to "believe" senators on the policies they advocate, not just what they say their stance is. I think Hawley is genuinely wary of the effects of Big Tech and other large corporations, and would like to reign in their power. I do *not* believe the policies he gestures towards on Twitter are actually the ones he wants to enact. I think he knows the Section 230 reform wouldn't accomplish anything like what he wants.
January 25, 2024 · Original source
It’s a plot by Big Tech to distract from other harms they are committing.
It’s a plot by Big Government to regulate Big Tech.
December 10, 2025 · Original source
21: Update on Tech PACs Are Closing In On The Almonds: pro-AI safety politician Alex Bores announced his candidacy for Congress in New York. As expected, the A16Z pro-AI PAC announced a “multibillion dollar effort to sink [his] campaign” (wait, multi-billion on one candidate? is that a typo?) This doesn’t seem to be going very well for them so far. Bores has masterfully leveraged (X) the unprecedented opposition from Big Tech into a selling point. …and raised $1.2 million on his first day, breaking fundraising records (I was told this was because of pro-AI-safety EAs, but others credit AIPAC and the Israel lobby). And most recently, Jami Floyd, one of Bores’ opponents and a possible beneficiary of anti-Bores spending, has condemned it (X) and demanded that the AI industry stop trying to help her. Impressive work from everybody. Related: New $50 million pro-AI-regulation SuperPAC, I assume EA-linked but have no special knowledge. 22: Related: Pre-emption is when Congress blocks states from making legislation on a topic, saying it will decide all the laws itself. The states have signaled willingness to regulate AI pretty hard, so Big Tech has been pushing for AI pre-emption to (in their opinion) prevent an overly complicated patchwork of regulations, or (in their opponents’ opinion) shift everything to a Republican Congress that will drop the ball on regulation entirely. After their first attempt in June was defeated by a coalition of anti-tech liberals and anti-tech conservatives, we discussed (1, 2) the effort by moderates on both sides to create a compromise proposal which pre-empted state laws but guaranteed good federal regulation on important topics. The most recent news is that extremists sidelined the moderates and tried to slip a hardline preemption deal with no compromises into the National Defense Authorization Act, a defense budget bill which is notoriously secretive and hard for the public to learn about. This didn’t work; some of the same coalition, plus a group of Republican state legislators including Ron DeSantis, pressured the GOP to drop it. The next battleground is a potential Trump executive order; although Trump cannot constitutionally ban states from regulating AI, he will threaten them with various consequences like lawsuits or withdrawal of federal funding. The buzz in the policy circles I’m in is that this might backfire; blue state politicians love starting fights with Trump in order to look tough to their blue state electorates. No, no, please don’t give me headlines like “TRUMP CONDEMNS GAVIN NEWSOM FOR TRYING TO PROTECT CALIFORNIA’S CHILDREN FROM AI SLOP”! Anything but that! 23: Related: Trump has decided to sell some of America’s best AI chips to China, supercharging their AI development and crippling ours. The most charitable read is that his administration doesn’t really believe AI matters so they think it’s fine to forfeit it for short-term gain; the least charitable that it’s downstream of the companies involved paying Trump enormous bribes in hopes of exactly this outcome . We’re headed for the dumbest possible world, where we sacrifice our chance to thoughtfully address AI’s social impacts because “tHaT wOuLd mAkE uS lOsE tHe rAcE wItH ChInA”, then throw away the race with China in one fell swoop by handing them our technology for no reason. Shame on everyone involved, especially the people who shout over any discussion of safety with “bUt ChInA” yet have stayed totally silent about this. Our best hope now is that China refuses the chips, either because they want to privilege their own tech companies, or because they think we can’t possibly be this stupid and it must be some kind of spy plot. 24: Related: how the American public’s opinions on AI are changing (from David Shor, h/t Daniel Eth on X): If this is to be taken seriously, AI is already a bigger political issue than abortion, climate change, or the environment. I fail my 2023 prediction that there was only a 20% chance this would happen by 2028. 25: Related: Bernie Sanders in The Guardian: “There is a very real fear that, in the not-so-distant future, a super-intelligent AI could replace humans in controlling the planet.” The Left has a complicated relationship with existential risk from AI: they really hate AI, which in theory should push them towards yet another reason to be against it. But they hate AI so much that they need to believe every negative thing about it at the same time, and one of those negative things is that it’s just a scam and will never work, and this naturally pushes against being concerned about x-risk. But as AI improves, will the “just a scam” position become less tenable, shunting the associated psychic energy into other reasons to hate AI (including x-risk concerns)? 26: Qualia Research Institute has released a video describing some of the work they’ve been doing the past year - The Oscilleditor: An Algorithmic Breakthrough for Psychedelic Visual Replication (1080p•⚠️SEIZURE): 27: Jesse Arm (X): “A majority of American rabbinical students are now women. Most are also LGBTQ. That includes Modern Orthodoxy. Remove Modern Orthodoxy and the numbers climb even higher.” Clergy have always served as spiritual counselors; as religions liberalize and other roles become less important, the therapist role starts to predominate. But 75% of therapists in the US are female; at the limit of liberalization where clergyman = therapist, we should expect the same gender ratio. 28: The latest news on the COVID origins debate: scientists find a naturally-occuring bat coronavirus with a COVID-like furin cleavage site. This is a point in favor of the natural origins hypothesis, since the second-best argument for lab leak was that COVID’s furin cleavage site was too strange to evolve naturally. But I think arguments that lab leak has “fallen apart” are premature: the best argument (COVID emerged only a few miles from the biggest coronavirus gain-of-function lab in the Eastern Hemisphere) remains strong. I update from something like 95% chance it’s natural to something like 96%, but not 99.99% or anything. And here’s a lab leaker arguing that COVID’s furin cleavage site is out-of-frame and so still more unnatural-looking than the one on the recently-discovered bat virus. 29: Nicholas Decker (econ blogger, famous for his controversial autistic takes and Secret Service visit) has a dating doc. Most interesting section is the one about children: he wants to have them, but doesn’t think they should be genetically related to him. From here: If this appeals to you, you can find his contact info on the document. Related: Governor Jared Polis of Colorado is a fan of Nicholas Decker and Richard Hanania. 30: Matt Yglesias comes out as aphantasic (unable to see images in his “mind’s eye”). He says that contra the usual perspective that frames this as a deficit, he finds it helpful. For example, once he got assaulted, and he remembers on an intellectual level that it happened, but since “I wasn’t taking pictures of myself getting kicked in the head so, as far as I’m concerned, it’s like it happened to someone else” (Matt usually has good instincts, so I’m surprised he uses an example which will be such catnip to his conservative critics). He thinks it makes him a better reasoner / statistics blogger / effective altruist to be able to “get a statistically valid view of the situation, not overindex on the happenstance of your life.” For what it’s worth, I’ll give my contrary data point - I think of myself as a reasoner / statistics blogger / effective altruist in a pretty similar vein as Matt, but AFAICT my visual imagination is totally normal; if other people are having their emotions yanked around by vivid images, that’s a skill issue. 31: Lakshya Jain in The Argument: The COVID political backlash [to the Democratic Party] has disappeared. Despite the narrative, polls show that voters don’t favor or disfavor either party over COVID, mostly still think school closures were necessary, and are about evenly split on vaccine mandates. I guess I can’t disagree with this poll - it seems well-done - but I still wonder whether something is being missed. Maybe it didn’t make the ~50% of voters who are naturally liberal desert the cause, but it energized conservatives in a way that might otherwise not have happened? Related, from Rob Wiblin on X, on balance Britons think the government response to COVID was not strict enough. 32: Related: Back when neoreaction was a big deal, I occasionally discussed posts by neoreactionary blogger Spandrell of Bloody Shovel. If you’re wondering what happened to him, you can read his 2024 Post-Mortem Of Neoreaction here, where he discusses how he fell out of love with the movement (warning: he has not fallen out of love with racial slurs). As a former fascist sympathizer, I can see why [fascism is on the downswing]. The allure of fascism in 2024 is much, much diminished. For a few reasons. A big one was COVID. See, the point of fascism is that Collective Action is necessary to have nice things. We need a strong government committed to the good of the people. Yarvin showed his preference early when he started his new Substack by quoting Cicero’s phrase “Salus populi suprema lex”. The health of the people is the most important law. Cicero wasn’t a fascist of course, nor is Yarvin really; a big point of fascism is to narrowly define the populus as an ethnic group with demonstrable ties to blood. That makes the government’s ties to the people stronger, increasing their commitment to do Good Collective Action. Which is important. Very important. A lot of good things can come of intelligently done Collective Action. Fascist Italy made the trains run on time. Nazi Germany fixed the terrible Weimar economy. East Asian countries are all effectively fascist states, if with less ideological baggage (yellows just aren’t like that), and they are all nice, clean, safe places with healthy economies. Fascism is not a panacea but it works, when you let it. Strong government can be pretty neat. So why is strong government less appealing these days? Well, COVID happened. And our governments were pretty damn strong in dealing with it. They made strong laws and enforced them. And what did they do with their power? Absolutely retarded shit. They destroyed the world economy and made 95% of people completely miserable for 18 months. Up to 3 long years in some places. Again, as an Orient enjoyer I was very sympathetic of strong effective government. My life has been pretty cozy thanks to it for the past decades. But after seeing boomers, hypochondriacs, and menopausal women take the reins and use it against healthy people, I’m fucking done with strong effective government. Fuck that shit, I’m out. I don’t want to see strong effective government ever again. I was very lucky that I was out of China in November 2019. It was a fluke really. I moved to the Golden Triangle after that and the law of the jungle was much, much nicer during the Doctors Plague of 2020-2022. But I spent a few months in Europe during the time and man, that was brutal. Not just seeing how retarded governments were; the level of compliance by the people was so disheartening. Imagine being a sincere fascist and seeing your people behave like that. These are my people? My Volk? Am I supposed to sacrifice life and limb for the salus of this populus? Fuck that. Let them cook, they deserve everything that’s coming to them [...] Is there a way to make the body healthy again? I do think so. I think there’s still place for a successor right wing ideology which is neither Christian fundamentalism or robot worship. And it will happen; but it won’t happen on Twitter. Maybe it can happen on Urbit, or right here in this site. I have some ideas myself, and I invite you to join me and build this together. It would be funny if the solution to the paradox Jain highlights was that for every time a COVID lockdown turned a liberal into a conservative, it turned one fascist into a moderate, for a net rightward shift of zero. 33: Also from an Argument poll: In a hypothetical Presidential matchup, Gavin Newsom beats JD Vance 54-46. I’m split between the usual heuristic of ignoring any polling more than a year before an election, and the fact that this is a remarkably big lead for polarized 21st century America. 34: Jerl wades into the David Hume on miracles debate. 35: AI Teddy Bears: A Brief Investigation. The good news is that your child’s AI teddy bear is hard to jailbreak and probably will not tell them where to find guns: The other good news is that somehow they don’t charge a subscription, which makes them a way to get usually-subscription-only AI models for free. How is this possible? “[The most likely hypothesis is that] Witpaw is an adorable piece of spyware and he’s selling my data to the CCP”. 36: This month’s anti-people-named-Sacks content: NYT on Trump AI czar David Sacks’ conflicts of interest; New Yorker on whether neurologist Oliver Sacks used his case studies to work through his own issues rather than presenting them accurately. [EDITED TO ADD: I originally framed it this way as a joke, but on further research I think David and Oliver are related. Wikipedia says that Oliver was first cousins with Israel statesman Abba Eban, and that Abba Eban was born to Lithuanian Jewish parents in Cape Town. David Sacks’ bio says he was born to Jewish parents in Cape Town, and this article specifies that they were Lithuanian. I doubt there were too many Lithuanian Jewish families named Sacks in mid-1900s Cape Town, so sure, related!) 37: Orca Sciences: There Has To Be A Better Way To Make Titanium. Titanium is a great metal - strong, light, and tough. If we had cheap titanium, it could revolutionize manufacturing the way cheap steel and aluminum did in previous eras. So why don’t we? Not because titanium is rare: it’s “the 9th most common element in the earth’s crust”. Rather, it’s very complicated and expensive to extract from its ore. Some kind of breakthrough in titanium extraction processes always seems tantalizingly close, but has never quite materialized. Is there any hope? 38: If Asians Are Lactose Intolerant, Why All The Milk Tea? Lactose intolerance has confused me for a long time - 23andMe tells me that I’m lactose intolerant, but I drink milk regularly without problems, so what’s up? This post’s answer: lactose-intolerant people who don’t usually drink milk will get sick if they start suddenly. Lactose-intolerant people who drink milk regularly since childhood develop gut microbiota that can digest milk, but which demand an expensive “tax” in calories. Lactose-tolerant people will always be able to digest milk and absorb all the calories themselves. 39: How do different majors change college students’ political beliefs? No surprise that the humanities and social sciences shift people left; no surprise that business and economics shift them right. I was a little surprised that engineering shifts people right a little, and that Education of all things shifts people right (albeit only slightly). How is that even possible? Are these people coming in as Mao Zedong and leaving as “only” Leon Trotsky? Also, Political Science is exactly neutral, lol. [EDIT: I misunderstood, they’re using natural sciences as a zero point, this is a reasonable choice but slightly changes the interpretation] 40: Kindkristin: Language models improved my mental health. 41: More floor employment, from the WSJ (h/t @LaocoonofTroy): Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet: “Straight out of college, graduates from the country’s maritime academies can earn more than $200,000 as a commercial sailor, with free food and private accommodations... Despite the pay and perks, maritime jobs go begging, and it is raising national-security concerns.” Other selling points include “six months vacation, live wherever you want, and you’re serving the nation” and onboard “gyms, connectivity, and cuisine”. The catch is that you have to be at sea for months at a time. 42: Study (h/t @KierkegaardEmil): there was minimal “learning loss” from COVID school closures, best estimate is “0.02 standard deviations per 100 days of school closure”. I correctly predicted this back in 2021, but I also wrote in March of this year about how there’s been a general decline in NAEP scores since then. It seems like maybe a student having their specific school closed for longer than other schools didn’t hurt them, but some sort of general cultural change, maybe related to COVID, did hurt. 43: Sam Bankman-Fried’s mother on why she thinks his trial was unfair. SBF is appealing his conviction and will probably be making some of these same points in court. Can’t find a prediction market directly on the appeal, but this one says only 15% chance he serves under 10 years, this one says 15% chance of a Trump pardon, so it doesn’t seem like there’s much room for him to be freed (or get a significantly shorter sentence) on appeal. And Wired says that only 5-10% of appeals like these succeed. 44: Related: Trump pardons Juan Orlando Hernandez, former Honduran president extradited to the US for narco-corruption. Some sources are trying to find a Prospera angle - Prospera and other ZEDEs were approved under JOH’s administration, and the Prosperans seem to have good MAGAworld connections - but I don’t think this is their top priority, and I don’t know if it requires much explanation for Trump to be pro-right-wing Latin American politicians convicted by the Biden administration. More interesting is that apparently JOH and SBF were cellmates (X), “SBF spent extensive time helping JOH with trial prep” and SBF told an interviewer that “Juan Orlando is the most innocent prisoner I’ve met, myself included.” ChatGPT is not impressed with the Trump/SBF case for JOH’s innocence. Related: JOH’s conservative party on track to win this month’s extremely-close Honduran elections, great news for Prospera if it happens. 45: The “100 Above The Park” building in St Louis (h/t Bobby Fijan on X): 46: The death toll of the ongoing Sudan genocide has risen to about 150,000. Nicholas Kristof writes that the world has once again failed to prevent atrocities, and argues that the most important point of leverage is pressure on the United Arab Emirates, which is arming the genociders. Sam Kriss also writes about the situation in The World’s First Matcha Labubu Genocide, but is unimpressed with Kristof’s take: Sudan is passed over in a deeply uncomfortable silence. The absolute most you can do is blame the Emiratis. From what I’ve seen, more people seem to be appalled at the UAE for its frankly marginal role in arming the RSF than at the RSF itself. This is the approved way of understanding any inscrutably indigenous foreign conflict: you just worm out any third-party involvement and then act like you’ve solved the whole thing. I side with Kristof here, for reasons that Sam himself touches on later in his piece, in a section comparing Darfur with Gaza. It would be very easy to make people care about Darfur again. All it would take is a loud, vocal contingent of RSF apologists in the Western media. I agree, but would frame it less cynically: the reason Westerners pay attention to Gaza is that there’s a lever to push: not only does America support Israel, but many of their friends support Israel, so they can imagine convincing America or at least their friends to stop, and at least feel like there is some remote chance of making a small difference (and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire). On the other hand, we don’t have many levers to affect ethnic Baggara in the Rapid Support Forces of Sudan, so it doesn’t really feel useful to write blog posts arguing that they should stop; obviously they should stop, nobody disagrees with this, and it goes without saying - so nobody says it. But the US does support the UAE, and many of our friends like the UAE or at least go there on vacation, so maybe it’s possible to have make some small difference by embarrassing them. 4D chess take is that Sam Kriss agrees with all of this, but “loudly” and “vocally” argued against it to give people like me a hook to write about this genocide with, in which case I thank him for his sacrifice. It would also be nice to be able to donate, but I don’t know who to trust in the region - other than Doctors Without Borders, who are usually pretty good. 47: The AI Futures Project (group of AI-will-be-fast intellectuals) and the AI As A Normal Technology team (group of AI-will-be-slow intellectuals) wrote an adversarial collaboration in Asterisk explaining what they agree on, for example: That there’s an important distinction between existing AI and “strong AGI”
…and raised $1.2 million on his first day, breaking fundraising records (I was told this was because of pro-AI-safety EAs, but others credit AIPAC and the Israel lobby). And most recently, Jami Floyd, one of Bores’ opponents and a possible beneficiary of anti-Bores spending, has condemned it (X) and demanded that the AI industry stop trying to help her. Impressive work from everybody. Related: New $50 million pro-AI-regulation SuperPAC, I assume EA-linked but have no special knowledge. 22: Related: Pre-emption is when Congress blocks states from making legislation on a topic, saying it will decide all the laws itself. The states have signaled willingness to regulate AI pretty hard, so Big Tech has been pushing for AI pre-emption to (in their opinion) prevent an overly complicated patchwork of regulations, or (in their opponents’ opinion) shift everything to a Republican Congress that will drop the ball on regulation entirely. After their first attempt in June was defeated by a coalition of anti-tech liberals and anti-tech conservatives, we discussed (1, 2) the effort by moderates on both sides to create a compromise proposal which pre-empted state laws but guaranteed good federal regulation on important topics. The most recent news is that extremists sidelined the moderates and tried to slip a hardline preemption deal with no compromises into the National Defense Authorization Act, a defense budget bill which is notoriously secretive and hard for the public to learn about. This didn’t work; some of the same coalition, plus a group of Republican state legislators including Ron DeSantis, pressured the GOP to drop it. The next battleground is a potential Trump executive order; although Trump cannot constitutionally ban states from regulating AI, he will threaten them with various consequences like lawsuits or withdrawal of federal funding. The buzz in the policy circles I’m in is that this might backfire; blue state politicians love starting fights with Trump in order to look tough to their blue state electorates. No, no, please don’t give me headlines like “TRUMP CONDEMNS GAVIN NEWSOM FOR TRYING TO PROTECT CALIFORNIA’S CHILDREN FROM AI SLOP”! Anything but that! 23: Related: Trump has decided to sell some of America’s best AI chips to China, supercharging their AI development and crippling ours. The most charitable read is that his administration doesn’t really believe AI matters so they think it’s fine to forfeit it for short-term gain; the least charitable that it’s downstream of the companies involved paying Trump enormous bribes in hopes of exactly this outcome . We’re headed for the dumbest possible world, where we sacrifice our chance to thoughtfully address AI’s social impacts because “tHaT wOuLd mAkE uS lOsE tHe rAcE wItH ChInA”, then throw away the race with China in one fell swoop by handing them our technology for no reason. Shame on everyone involved, especially the people who shout over any discussion of safety with “bUt ChInA” yet have stayed totally silent about this. Our best hope now is that China refuses the chips, either because they want to privilege their own tech companies, or because they think we can’t possibly be this stupid and it must be some kind of spy plot. 24: Related: how the American public’s opinions on AI are changing (from David Shor, h/t Daniel Eth on X): If this is to be taken seriously, AI is already a bigger political issue than abortion, climate change, or the environment. I fail my 2023 prediction that there was only a 20% chance this would happen by 2028. 25: Related: Bernie Sanders in The Guardian: “There is a very real fear that, in the not-so-distant future, a super-intelligent AI could replace humans in controlling the planet.” The Left has a complicated relationship with existential risk from AI: they really hate AI, which in theory should push them towards yet another reason to be against it. But they hate AI so much that they need to believe every negative thing about it at the same time, and one of those negative things is that it’s just a scam and will never work, and this naturally pushes against being concerned about x-risk. But as AI improves, will the “just a scam” position become less tenable, shunting the associated psychic energy into other reasons to hate AI (including x-risk concerns)? 26: Qualia Research Institute has released a video describing some of the work they’ve been doing the past year - The Oscilleditor: An Algorithmic Breakthrough for Psychedelic Visual Replication (1080p•⚠️SEIZURE): 27: Jesse Arm (X): “A majority of American rabbinical students are now women. Most are also LGBTQ. That includes Modern Orthodoxy. Remove Modern Orthodoxy and the numbers climb even higher.” Clergy have always served as spiritual counselors; as religions liberalize and other roles become less important, the therapist role starts to predominate. But 75% of therapists in the US are female; at the limit of liberalization where clergyman = therapist, we should expect the same gender ratio. 28: The latest news on the COVID origins debate: scientists find a naturally-occuring bat coronavirus with a COVID-like furin cleavage site. This is a point in favor of the natural origins hypothesis, since the second-best argument for lab leak was that COVID’s furin cleavage site was too strange to evolve naturally. But I think arguments that lab leak has “fallen apart” are premature: the best argument (COVID emerged only a few miles from the biggest coronavirus gain-of-function lab in the Eastern Hemisphere) remains strong. I update from something like 95% chance it’s natural to something like 96%, but not 99.99% or anything. And here’s a lab leaker arguing that COVID’s furin cleavage site is out-of-frame and so still more unnatural-looking than the one on the recently-discovered bat virus. 29: Nicholas Decker (econ blogger, famous for his controversial autistic takes and Secret Service visit) has a dating doc. Most interesting section is the one about children: he wants to have them, but doesn’t think they should be genetically related to him. From here: If this appeals to you, you can find his contact info on the document. Related: Governor Jared Polis of Colorado is a fan of Nicholas Decker and Richard Hanania. 30: Matt Yglesias comes out as aphantasic (unable to see images in his “mind’s eye”). He says that contra the usual perspective that frames this as a deficit, he finds it helpful. For example, once he got assaulted, and he remembers on an intellectual level that it happened, but since “I wasn’t taking pictures of myself getting kicked in the head so, as far as I’m concerned, it’s like it happened to someone else” (Matt usually has good instincts, so I’m surprised he uses an example which will be such catnip to his conservative critics). He thinks it makes him a better reasoner / statistics blogger / effective altruist to be able to “get a statistically valid view of the situation, not overindex on the happenstance of your life.” For what it’s worth, I’ll give my contrary data point - I think of myself as a reasoner / statistics blogger / effective altruist in a pretty similar vein as Matt, but AFAICT my visual imagination is totally normal; if other people are having their emotions yanked around by vivid images, that’s a skill issue. 31: Lakshya Jain in The Argument: The COVID political backlash [to the Democratic Party] has disappeared. Despite the narrative, polls show that voters don’t favor or disfavor either party over COVID, mostly still think school closures were necessary, and are about evenly split on vaccine mandates. I guess I can’t disagree with this poll - it seems well-done - but I still wonder whether something is being missed. Maybe it didn’t make the ~50% of voters who are naturally liberal desert the cause, but it energized conservatives in a way that might otherwise not have happened? Related, from Rob Wiblin on X, on balance Britons think the government response to COVID was not strict enough. 32: Related: Back when neoreaction was a big deal, I occasionally discussed posts by neoreactionary blogger Spandrell of Bloody Shovel. If you’re wondering what happened to him, you can read his 2024 Post-Mortem Of Neoreaction here, where he discusses how he fell out of love with the movement (warning: he has not fallen out of love with racial slurs). As a former fascist sympathizer, I can see why [fascism is on the downswing]. The allure of fascism in 2024 is much, much diminished. For a few reasons. A big one was COVID. See, the point of fascism is that Collective Action is necessary to have nice things. We need a strong government committed to the good of the people. Yarvin showed his preference early when he started his new Substack by quoting Cicero’s phrase “Salus populi suprema lex”. The health of the people is the most important law. Cicero wasn’t a fascist of course, nor is Yarvin really; a big point of fascism is to narrowly define the populus as an ethnic group with demonstrable ties to blood. That makes the government’s ties to the people stronger, increasing their commitment to do Good Collective Action. Which is important. Very important. A lot of good things can come of intelligently done Collective Action. Fascist Italy made the trains run on time. Nazi Germany fixed the terrible Weimar economy. East Asian countries are all effectively fascist states, if with less ideological baggage (yellows just aren’t like that), and they are all nice, clean, safe places with healthy economies. Fascism is not a panacea but it works, when you let it. Strong government can be pretty neat. So why is strong government less appealing these days? Well, COVID happened. And our governments were pretty damn strong in dealing with it. They made strong laws and enforced them. And what did they do with their power? Absolutely retarded shit. They destroyed the world economy and made 95% of people completely miserable for 18 months. Up to 3 long years in some places. Again, as an Orient enjoyer I was very sympathetic of strong effective government. My life has been pretty cozy thanks to it for the past decades. But after seeing boomers, hypochondriacs, and menopausal women take the reins and use it against healthy people, I’m fucking done with strong effective government. Fuck that shit, I’m out. I don’t want to see strong effective government ever again. I was very lucky that I was out of China in November 2019. It was a fluke really. I moved to the Golden Triangle after that and the law of the jungle was much, much nicer during the Doctors Plague of 2020-2022. But I spent a few months in Europe during the time and man, that was brutal. Not just seeing how retarded governments were; the level of compliance by the people was so disheartening. Imagine being a sincere fascist and seeing your people behave like that. These are my people? My Volk? Am I supposed to sacrifice life and limb for the salus of this populus? Fuck that. Let them cook, they deserve everything that’s coming to them [...] Is there a way to make the body healthy again? I do think so. I think there’s still place for a successor right wing ideology which is neither Christian fundamentalism or robot worship. And it will happen; but it won’t happen on Twitter. Maybe it can happen on Urbit, or right here in this site. I have some ideas myself, and I invite you to join me and build this together. It would be funny if the solution to the paradox Jain highlights was that for every time a COVID lockdown turned a liberal into a conservative, it turned one fascist into a moderate, for a net rightward shift of zero. 33: Also from an Argument poll: In a hypothetical Presidential matchup, Gavin Newsom beats JD Vance 54-46. I’m split between the usual heuristic of ignoring any polling more than a year before an election, and the fact that this is a remarkably big lead for polarized 21st century America. 34: Jerl wades into the David Hume on miracles debate. 35: AI Teddy Bears: A Brief Investigation. The good news is that your child’s AI teddy bear is hard to jailbreak and probably will not tell them where to find guns: The other good news is that somehow they don’t charge a subscription, which makes them a way to get usually-subscription-only AI models for free. How is this possible? “[The most likely hypothesis is that] Witpaw is an adorable piece of spyware and he’s selling my data to the CCP”. 36: This month’s anti-people-named-Sacks content: NYT on Trump AI czar David Sacks’ conflicts of interest; New Yorker on whether neurologist Oliver Sacks used his case studies to work through his own issues rather than presenting them accurately. [EDITED TO ADD: I originally framed it this way as a joke, but on further research I think David and Oliver are related. Wikipedia says that Oliver was first cousins with Israel statesman Abba Eban, and that Abba Eban was born to Lithuanian Jewish parents in Cape Town. David Sacks’ bio says he was born to Jewish parents in Cape Town, and this article specifies that they were Lithuanian. I doubt there were too many Lithuanian Jewish families named Sacks in mid-1900s Cape Town, so sure, related!) 37: Orca Sciences: There Has To Be A Better Way To Make Titanium. Titanium is a great metal - strong, light, and tough. If we had cheap titanium, it could revolutionize manufacturing the way cheap steel and aluminum did in previous eras. So why don’t we? Not because titanium is rare: it’s “the 9th most common element in the earth’s crust”. Rather, it’s very complicated and expensive to extract from its ore. Some kind of breakthrough in titanium extraction processes always seems tantalizingly close, but has never quite materialized. Is there any hope? 38: If Asians Are Lactose Intolerant, Why All The Milk Tea? Lactose intolerance has confused me for a long time - 23andMe tells me that I’m lactose intolerant, but I drink milk regularly without problems, so what’s up? This post’s answer: lactose-intolerant people who don’t usually drink milk will get sick if they start suddenly. Lactose-intolerant people who drink milk regularly since childhood develop gut microbiota that can digest milk, but which demand an expensive “tax” in calories. Lactose-tolerant people will always be able to digest milk and absorb all the calories themselves. 39: How do different majors change college students’ political beliefs? No surprise that the humanities and social sciences shift people left; no surprise that business and economics shift them right. I was a little surprised that engineering shifts people right a little, and that Education of all things shifts people right (albeit only slightly). How is that even possible? Are these people coming in as Mao Zedong and leaving as “only” Leon Trotsky? Also, Political Science is exactly neutral, lol. [EDIT: I misunderstood, they’re using natural sciences as a zero point, this is a reasonable choice but slightly changes the interpretation] 40: Kindkristin: Language models improved my mental health. 41: More floor employment, from the WSJ (h/t @LaocoonofTroy): Big Paychecks Can’t Woo Enough Sailors For America’s Commercial Fleet: “Straight out of college, graduates from the country’s maritime academies can earn more than $200,000 as a commercial sailor, with free food and private accommodations... Despite the pay and perks, maritime jobs go begging, and it is raising national-security concerns.” Other selling points include “six months vacation, live wherever you want, and you’re serving the nation” and onboard “gyms, connectivity, and cuisine”. The catch is that you have to be at sea for months at a time. 42: Study (h/t @KierkegaardEmil): there was minimal “learning loss” from COVID school closures, best estimate is “0.02 standard deviations per 100 days of school closure”. I correctly predicted this back in 2021, but I also wrote in March of this year about how there’s been a general decline in NAEP scores since then. It seems like maybe a student having their specific school closed for longer than other schools didn’t hurt them, but some sort of general cultural change, maybe related to COVID, did hurt. 43: Sam Bankman-Fried’s mother on why she thinks his trial was unfair. SBF is appealing his conviction and will probably be making some of these same points in court. Can’t find a prediction market directly on the appeal, but this one says only 15% chance he serves under 10 years, this one says 15% chance of a Trump pardon, so it doesn’t seem like there’s much room for him to be freed (or get a significantly shorter sentence) on appeal. And Wired says that only 5-10% of appeals like these succeed. 44: Related: Trump pardons Juan Orlando Hernandez, former Honduran president extradited to the US for narco-corruption. Some sources are trying to find a Prospera angle - Prospera and other ZEDEs were approved under JOH’s administration, and the Prosperans seem to have good MAGAworld connections - but I don’t think this is their top priority, and I don’t know if it requires much explanation for Trump to be pro-right-wing Latin American politicians convicted by the Biden administration. More interesting is that apparently JOH and SBF were cellmates (X), “SBF spent extensive time helping JOH with trial prep” and SBF told an interviewer that “Juan Orlando is the most innocent prisoner I’ve met, myself included.” ChatGPT is not impressed with the Trump/SBF case for JOH’s innocence. Related: JOH’s conservative party on track to win this month’s extremely-close Honduran elections, great news for Prospera if it happens. 45: The “100 Above The Park” building in St Louis (h/t Bobby Fijan on X): 46: The death toll of the ongoing Sudan genocide has risen to about 150,000. Nicholas Kristof writes that the world has once again failed to prevent atrocities, and argues that the most important point of leverage is pressure on the United Arab Emirates, which is arming the genociders. Sam Kriss also writes about the situation in The World’s First Matcha Labubu Genocide, but is unimpressed with Kristof’s take: Sudan is passed over in a deeply uncomfortable silence. The absolute most you can do is blame the Emiratis. From what I’ve seen, more people seem to be appalled at the UAE for its frankly marginal role in arming the RSF than at the RSF itself. This is the approved way of understanding any inscrutably indigenous foreign conflict: you just worm out any third-party involvement and then act like you’ve solved the whole thing. I side with Kristof here, for reasons that Sam himself touches on later in his piece, in a section comparing Darfur with Gaza. It would be very easy to make people care about Darfur again. All it would take is a loud, vocal contingent of RSF apologists in the Western media. I agree, but would frame it less cynically: the reason Westerners pay attention to Gaza is that there’s a lever to push: not only does America support Israel, but many of their friends support Israel, so they can imagine convincing America or at least their friends to stop, and at least feel like there is some remote chance of making a small difference (and in fact, Trump getting mad at Israel and deciding to pressure them was decisive in effecting the cease-fire). On the other hand, we don’t have many levers to affect ethnic Baggara in the Rapid Support Forces of Sudan, so it doesn’t really feel useful to write blog posts arguing that they should stop; obviously they should stop, nobody disagrees with this, and it goes without saying - so nobody says it. But the US does support the UAE, and many of our friends like the UAE or at least go there on vacation, so maybe it’s possible to have make some small difference by embarrassing them. 4D chess take is that Sam Kriss agrees with all of this, but “loudly” and “vocally” argued against it to give people like me a hook to write about this genocide with, in which case I thank him for his sacrifice. It would also be nice to be able to donate, but I don’t know who to trust in the region - other than Doctors Without Borders, who are usually pretty good. 47: The AI Futures Project (group of AI-will-be-fast intellectuals) and the AI As A Normal Technology team (group of AI-will-be-slow intellectuals) wrote an adversarial collaboration in Asterisk explaining what they agree on, for example: That there’s an important distinction between existing AI and “strong AGI”
Bigfoot

Bigfoot is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between August 11, 2022 and May 30, 2025. The archive places it in contexts such as "Here’s belief in Bigfoot by religion and worship attendance"; "headlines declaring Bigfoot had been found"; "My probability for Bigfoot is way under 1%". It most often appears alongside UFOs, 2016, 2016 election.

Article page
Bigfoot
Mention count
3
Issue count
3
First seen
August 11, 2022
Last seen
May 30, 2025
August 11, 2022 · Original source
Here’s belief in Bigfoot by religion and worship attendance
People of “none” religion are less likely than any religion except Jews to believe in Bigfoot. Somehow at the same time, the less often you go to church, the more likely to believe in Bigfoot you are.
But this one doesn’t quite work either: neither scientific materialism nor Biblical literalism precludes Bigfoot. God and/or Evolution created all sorts of weird ape species; why shouldn’t there be one more?
January 11, 2023 · Original source
Did anyone in your family (as per your best guess) die of COVID vaccine side effects? I got 917 responses so far. On Kirsch’s original poll, the answers were 3.5% and 7.9%; on my survey, they were 6.8% and 0.9%. I think my higher rate of COVID deaths was because I carelessly changed “household” to “family”, which includes eg extended family. But why did I get so many fewer vaccine deaths? Looking at these people's other responses, they did not show a consistent tendencies to make things up or say outrageous things (except for one who listed their religion as “Satanist”). That having been said, they did have an atypical response pattern; most ACX readers are white male Westerners, but these people were 38% female, 38% nonwhite, and 88% non-American. Highest degree was 12% high school, 25% college grad, and 63% postgrad; IQs were listed as extremely high, just like everyone else who gives their IQs on my survey. Politics were significant for 25% Marxist (otherwise a rarity in my survey), but otherwise typical, and did not lean right-wing. They were slightly, but not overwhelmingly, more likely to distrust the media and dislike strong COVID responses than other survey respondents. Overall I don't feel like I learned too much from examining them. The survey is still open (take it now if you haven’t already!) and I'm hoping to get more data on this later. 5: Comments Pointing Out Very Clear Examples Of Media Lies Several people agreed with the wider point, but tried to find a counterexample - a media lie so explicit that nobody could ever deny it. Some people noted that the term “fake news”, when invented in 2016, was originally applied to a very specific kind of fake article, often from weird Macedonian article mills, that were saying utterly fake stuff in a way that even Infowars didn’t. Robert Stadler: This was what was interesting about the phenomenon of "fake news" during the 2016 election, before that term was successfully hijacked by Donald Trump to mean "news stories I don't like." There was a wave of what looked like news articles, spread largely via Facebook, that were entirely fictitious. The people writing those "articles" were not journalists and were not trying to be journalists. They made up the stories out of a mix of rumor and complete fabrications, either for political purposes or just as click-bait (this has never been entirely clear to me). It's unfortunate that the term "fake news" has been so thoroughly tainted, because the existence of those articles was genuinely noteworthy, and it's now harder to talk about them . . . I don't remember any myself (since it's been 6 years), but here's a study which has some specifics - http://web.stanford.edu/~gentzkow/research/fakenews.pdf After some searching, Benjamin Jest (writes As Fair A Name) was finally able to produce a specific example - Nancy Pelosi Hanged At Gitmo - which does, indeed, claim that leading US Democrat Nancy Pelosi was hanged at Guantanamo Bay for “treason and conspiracy” on December 27, 2022. It seems to suggest that the order was given by Donald Trump, who is still President, and that Hillary Clinton had already been executed in the same manner in April 2021. I will admit this is definitely an example of a “news source” making things up rather than just stretching the truth. The source, RealRawNews, claims on its About Page to be a “parody site”, but this outside article about them says they go back and forth between claiming to be a parody and claiming to be real. Some of their claims are more plausible than the Gitmo one - for example, that many Air Force pilots were resigning because of the COVID vaccine mandate - but equally false. They seem to go back and forth between “things that some conservatives might believe to be true” and “things that are obviously false but maybe gratify conservatives’ id”, adding or subtracting the “parody” label based on which one they’re doing at the time. It’s a fascinating business model, and I guess the term “fake news” fairly applies to it. Yug Gnirob writes: I don't know how to find them, but I definitely remember several completely fake articles about Trump during and immediately after the election. One of them was him citing "an ancient law" that prevented President Obama from doing... some liberal thing, I don't remember what. The most memorable one was immediately after the "Muslim Ban", where they claimed it had resulted in the arrest of a high-priority terrorist on day 1. I feel like that one showed up on one of the fact check sites, but I'm not seeing it on Snopes. I remember Stephen Colbert reporting the articles had been tracked down to a couple of Macedonian teens, who had discovered that writing fabricated pro-Trump articles was an easy way to make money. 6: Comments Making Other Claims Of Media Lies And Misdeeds — Beowulf888 on the LA Times and COVID: Well, there are media outlets that propagandize—but I think it boils down to if it bleeds it leads. Most corporate media outlets have the economic incentive to increase the readership by grabbing one's attention with scary headlines and articles. The perfect example of this phenomenon was in April 2020 when the LA Times interviewed an atmospheric chemist at Scripps. She made the claim that SARS2 virus particles in sewage were being carried back to land by sea spray. The reporters and editors uncritically relayed her comments as if she were an expert with the same credentialled expertise as a virologist or epidemiologist. There are numerous reasons why this would be very very low on the threat level even with what little we knew about the SARS2 virus at that time. This story was picked up by the media everywhere, and county health officials (either because there was public pressure to do so, or because they really believed her) shut down beaches up and down the coast of California. Did the LA Times and the news media really have any motivation to promote the closure of public beaches? I can't imagine they did. But they did have a scary headline that would promote readership and spread LA Times as a news source. Some weeks later the LA Times did a retraction, but by that time it had entered the popular imagination that beaches were a potential vector for COVID infection. I’m developing an allergy to the word “uncritically”. Being able to fact-check scientists is a rare skill - I’m not surprised nobody at the LA Times had it ready to deploy for this exact article. — Mike Mulligan writes: The pushback is largely because you are doing a false equivocation between the New York Times (who you hate and have a vendetta against) and Infowars (who you are pretending does basically the same thing as other outlets). And you know this, but on your own metric it won't count as a lie, because you just selectively misrepresented things. On the two articles in this series, I’ve included phrases like “This doesn’t mean these establishment papers are exactly as bad as Infowars; just that when they do err, it’s by committing a more venial version of the same sin Infowars commits” and “Again, my goal here isn’t to . . . say NYT is exactly as bad as Infowars” and tried to explain the exact way that two things can both commit a similar error without one being exactly as the other (Hitler and someone who shot a robber in self-defense both committed a similar action called “killing people”, but this doesn’t mean they both killed exactly the same people with exactly the same level of justification). Still, I got numerous comments getting angry at me for saying that I was calling NYT exactly as bad as Infowars, and saying I was being deceptive / lying because of this. This is why I’m so convinced people are erring on the side of too mistrustful - you can fill your articles with sentences about how you’re not claiming X, and people will still find ways to accuse you of lying because you said X. — Garrett writes: [The way Infowars covered Obama’s birth certificate] isn't any different from eg. mainstream media coverage of anything which involves firearms. They make (or promulgate) so many stupid technical errors I've stopped paying attention to them at all. They could have 1 person on staff who's responsibility is to understand firearms and run everything past them. But they don't. To what should I attribute this continual stream of errors? Is mainstream media coverage of firearms honestly flawed? Is it “reckless disregard for truth?” Is it a “lie of egregious sloppiness?” I think your answer to this question will depend more on how bad you want to accuse the mainstream media of being, relative to other forms of media, than on how you define these inherently slippery terms. — Jeremy Goldberg writes: There's an outright lie right now on the Washington Post homepage. A caption above a graph showing the inflation rate over time states, "Elevated prices coming down, annualized rate shows." The chart shows the current inflation rate is 7.1 percent, down from a high of around 9 percent. Elevated prices are not coming down at all. They just aren't elevating as fast anymore. I asked Jeremy to guess the probability that this was an honest mistake vs. malice. He said (thanks for giving a clear answer!) 60-40 in favor of malice. I think this is pretty high, given that I had to read Jeremy’s comment several times before I realized what the error was supposed to be, but I’ve already said I lean towards the “all the rest of you are extremely paranoid” side of things. — Jiro writes: I opened a thread on dsl: https://www.datasecretslox.com/index.php/topic,8430.0.html People brought up several examples there. You can read the thread. One of the more famous examples was saying that Kyle Rittenhouse crossed state lines with a weapon. There are also a bunch of cases where the media says there's "no evidence" for something that has evidence. Someone also brought up your own example of people "tested for drugs" when they were actually just asked if they used drugs. I would count that as an outright lie, even though you don't. I disagree that being asked if someone used drugs is a "test". Oh god, if saying there’s “no evidence” for something counts as a lie, then every media source in the country stands hopelessly condemned. I did write an article (here) on what the people who use that phrase might be thinking (if you can call it that). I agree the Rittenhouse situation was pretty egregious, though commenters bring up that since he went across state lines and had a weapon, it wasn’t unreasonable for people to assume he brought the weapon across state lines. Still, you wonder whether news sources would have repeated reasonable-sounding-but-didn’t-actually-check slanders about someone they liked. I do think this is a good antidote to some of the “mainstream media is actually very careful and fact-checks everything in their original reporting” takes in the comments section. — David Riceman says: How about Richard Landes's new book "Can the whole world be wrong?" about the many lies in the cognitive war against Israel (e.g. Muhammad Al Dura) See his discussion here for why he thinks this is a good example. — FractalCycle writes: I'm collecting examples from other people, will post ones that seem like real counterexamples as I get them. Here's one from recently: https://forum.effectivealtruism.org/posts/jsByfxvNA4x23stLY/a-letter-to-the-bulletin-of-atomic-scientists Yes, I included this issue with the Bulletin Of Atomic Scientists in my last links post, and they really do come out looking very bad here. See here for more discussion. — Hank Wilbon (writes Partial Magic) writes: I think the false Rolling Stone story a decade ago about the frat gang rape counts as the media explicitly lying, particularly as Rolling Stone is historically known for good fact checking (It is a plot point in the movie Almost Famous), however I think that counts as a "very rare" case and that Scott's claim is correct. I asked “Why? A woman said she had been raped, and Rolling Stone believed her. The woman was making it up, but Rolling Stone wasn't” and Deepa commented “Isn't it the job of a reporter to investigate? And be good at it?” I don’t want to pick on Deepa, but this is what happens when you have an overly expansive definition of “lie”! — TorontoLLB writes: The most straightforward counterexample I can think of is the NBC manipulation of the George Zimmerman 911 call. For example this: "The 9-1-1 operator then asked: "OK, and this guy, is he black, white or Hispanic?", and Zimmerman answered, "He looks black." was changed to: ""This guy looks like he's up to no good. He looks black." In another segment they combined completely separate parts of the call to create an audio clip that presents him as saying ""This guy looks like he's up to no good or he's on drugs or something. He's got his hand in his waistband, and he's a black male." There was other bits of reporting from the major networks that appear to be closer to fraud than selective amplification or choosing what not to report. Enough so that in Twitter threads asking people how they got "red-pilled" person after person refers to the media response to the incident. I haven’t looked into this and I can’t confirm or deny that this is true. I hope everyone finds at least one of these comments obviously fair, and at least another obviously unfair, in a way that encourages you to think more about these issues. 7: Other Comments — Paul writes: What's funny is the Weekly World News - the supermarket tabloid with headlines declaring Bigfoot had been found, and married to a local man's sister!; JFK was still alive, etc. - would pass muster under this analysis. They always had sources report stories to them. Those sources were just batshit crazy. Their strategy was simply not to question them skeptically to poke holes in their story as an ordinary reporter/person would, but to encourage them - "Wow, really, a wedding; what was Bigfoot wearing?" I don't mean to entirely dismiss the distinction you make. But in insisting that not a single story - not even one of the most egregious stories by the most irresponsible, disreputable, of barely-extant publications - is a lie, I think you try to prove too much. In doing so, you retreat so far that you defend only a weak and emasculated position, not any of the broader or more meaningful points implicated by your piece. Thanks for this - I always wondered what those tabloids thought they were doing, and for some reason this matches my model of human psychology better than my previous theories about “maybe they just made it up” - though I bet they do some of that too. — John Buridan writes: I used to have very low priors against conspiracy theories and so was willing to hear out the arguments at length and go back and forth for many weeks and months on a single theory. I would say my conspiracy theory expertise is in creationism and government conspiracies, especially ones involving either Catholicism or Judaism. And I'm okay on one's involving fluoridation, chemtrails, and GMOs etc. One of my housemates was a senior when I was a freshman in college gave me the Adobe illustrator birth certificate shtick, and we went through it together. We downloaded the birth certificate, uploaded it to Adobe illustrator, and saw the weird things. Then I went back to my day job where I was learning Adobe Illustrator. This is maybe 2 weeks later. And what do I find but that when I do this with any PDF, Illustrator renders it in the same janky way? Conspiracy dissolved. I grew up surrounded by people who believed conspiracy theories, although none of those people were my parents. And I have to say that the fact that so few people know other people who believe conspiracy theories kind of bothers me. It's like their epistemic immune system has never really been at risk of infection. If your mind hasn't been very sick at least sometimes, how can you be sure you've developed decent priors this time? Of course, this just all goes back to the dark matter beliefs of people in our outgroup. And the eternal question of where do good priors come from? How do some people's beliefs get so messed up? Thanks for this. I agree that a little bit of experience personally believing conspiracy theories, or knowing people who do, goes a long way. When I was a teenager, I flirted with a lot of pseudoarchaeology theories - think Graham Hancock, underwater pyramids, that kind of thing. I got better, but it left me with a visceral understanding of how people can genuinely believe weird things - not be lying about it, not be secretly making some kind of emotional point about how they hate the system, not be deliberately trying to be as sloppy as possible because you’re a bad person - just genuinely believe it because you tried to reason about it and failed. I think if you haven’t had that experience, then it’s really hard to understand people who have. 8: My Actual Thoughts I should probably try to say, as clearly as possible, what I think. It seems like all of these are different things: Reasoning well, and getting things right
May 30, 2025 · Original source
Please don’t refuse to take children seriously. My probability for Bigfoot is way under 1%, but when we assume an answer to (for example) whether Bigfoot is real and simply repeat it to kids, we deny them an opportunity ripe for sharpening their intellects.
Taking this seriously is how I came up with a set of online summer camps. The weeklong course last year used Bigfoot to get kids to experience using Bayes theorem. The one from this summer will deepen that by looking at claims of sea monsters. Year 3’s will extend this, asking when we should trust the media on UFOs UAPs. Year 4’s will hold a bright light up to academic, peer-reviewed sources by looking closely into the evidence for psychic powers, and year 5’s will try to suss out the edges of science itself by looking into the evidence for ghosts. Whatever else these summer camps accomplish, I hope they’ll prepare my students for whatever dubious assertions they run across on YouTube.
Bio Anchors

Bio Anchors is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between February 23, 2022 and February 12, 2026. The archive places it in contexts such as "I would be interested in a Bio Anchors-style analysis of projected power usage"; "Bio Anchors hinges almost entirely on Moore’s Law"; "an AGI that was as smart as humans might need a similar level of computing capacity as the human brain. Cotra picked five intuitively compelling guesses (the namesake Bio Anchors)". It most often appears alongside AGI, Ajeya Cotra, Moore’s Law.

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Bio Anchors
Mention count
3
Issue count
3
First seen
February 23, 2022
Last seen
February 12, 2026
February 23, 2022 · Original source
I've been trying to review and summarize Eliezer Yudkowksy's recent dialogues on AI safety. Previously in sequence: Yudkowsky Contra Ngo On Agents. Now we’re up to Yudkowsky contra Cotra on biological anchors, but before we get there we need to figure out what Cotra's talking about and what's going on.
Play pro-level Go using 8-16 times as much computing power as AlphaGo, but only 2006 levels of technology. For reference, recall that in 2006, Hinton and Salakhutdinov were just starting to publish that, by training multiple layers of Restricted Boltzmann machines and then unrolling them into a "deep" neural network, you could get an initialization for the network weights that would avoid the problem of vanishing and exploding gradients and activations. At least so long as you didn't try to stack too many layers, like a dozen layers or something ridiculous like that. This being the point that kicked off the entire deep-learning revolution. Your model apparently suggests that we have gotten around 50 times more efficient at turning computation into intelligence since that time; so, we should be able to replicate any modern feat of deep learning performed in 2021, using techniques from before deep learning and around fifty times as much computing power. OpenPhil: No, that's totally not what our viewpoint says when you backfit it to past reality. Our model does a great job of retrodicting past reality. Eliezer: How so? OpenPhil: <Eliezer cannot predict what they will say here.> I think the argument here is that OpenPhil is accounting for normal scientific progress in algorithms, but not for paradigm shifts. Directional Error These are the two arguments Eliezer makes against OpenPhil that I find most persuasive. First, that you shouldn’t be using biological anchors at all. Second, that unpredictable paradigm shifts are more realistic than gradual algorithmic progress. These mostly add uncertainty to OpenPhil’s model, but Eliezer ends his essay making a stronger argument: he thinks OpenPhil is directionally wrong, and AI will come earlier than they think. Mostly this is the paradigm argument again. Five years from now, there could be a paradigm shift that makes AI much easier to build. It’s happened before; from GOFAI’s pre-programmed logical rules to Deep Blue’s tree searches to the sorts of Big Data methods that won the Netflix Prize to modern deep learning. Instead of just extrapolating deep learning scaling thirty years out, OpenPhil should be worried about the next big idea. Hypothetical OpenPhil retorts that this is a double-edged sword. Maybe the deep learning paradigm can’t produce AGI, and we’ll have to wait decades or centuries for someone to have the right insight. Or maybe the new paradigm you need for AGI will take more compute than deep learning, in the same way deep learning takes more compute than whatever Moravec was imagining. This is a pretty strong response, since it would have been true for every previous forecaster: remember, Moravec erred in thinking AI would come too soon, not too late. So although Eliezer is taking the cheap shot of saying OpenPhil’s estimate will be wrong just as everyone else’s was wrong before, he’s also giving himself the much harder case of arguing it might be wrong in the opposite direction as all its predecessors. Eliezer takes this objection seriously, but feels like on balance probably new paradigms will speed up AI rather than slow it down. Here he grudgingly and with suitable embarrassment does try to make an object-level semi-biological-anchors-related argument: Moravec was wrong because he ignored the training phase. And the proper anchor for the training phase is somewhere between evolution and a human childhood, where evolution represents “blind chance eventually finding good things” and human childhood represents “an intelligent cognitive engine trying to squeeze as much data out of experience as possible”. And part of what he expects paradigm shifts to do is to move from more evolutionary processes to more childhood-like processes, and that’s a net gain in efficiency. So he still thinks OpenPhil’s methods are more likely to overestimate the amount of time until AGI rather than underestimate it. What Moore’s Law Giveth, Platt’s Law Taketh Away Eliezer’s other argument is kind of a low blow: he refers to Platt’s Law Of AI Forecasting: “any AI forecast will put strong AI thirty years out from when the forecast is made.” This isn’t exact. Hans Moravec, writing in 1988, said 2010 - so 22 years. Ray Kurzweil, writing in 2001, said 2023 - another 22 years. Vernor Vinge, in a 1993 speech, said 2023, and that was exactly 30 years, but Vinge knew about Platt’s Law and might have been joking. The point is: OpenPhil wrote a report in 2020 that predicted strong AI in 2052, isn’t that kind of suspicious? I’d previously mentioned it as a plus that Ajeya got around the same year everyone else got. The forecasters on Metaculus. The experts surveyed in Grace et al. Lots of other smart experts with clever models. But what if all of these experts and models and analyses are just fudging the numbers for the same Platt’s-Law-related reasons? Hypothetical OpenPhil is BTFO: OpenPhil: That part about Charles Platt's generalization is interesting, but just because we unwittingly chose literally exactly the median that Platt predicted people would always choose in consistent error, that doesn't justify dismissing our work, right? We could have used a completely valid method of estimation which would have pointed to 2050 no matter which year it was tried in, and, by sheer coincidence, have first written that up in 2020. In fact, we try to show in the report that the same methodology, evaluated in earlier years, would also have pointed to around 2050 - Eliezer: Look, people keep trying this. It's never worked. It's never going to work. 2 years before the end of the world, there'll be another published biologically inspired estimate showing that AGI is 30 years away and it will be exactly as informative then as it is now. I'd love to know the timelines too, but you're not going to get the answer you want until right before the end of the world, and maybe not even then unless you're paying very close attention. Timing this stuff is just plain hard. Part III: Responses And Commentary Response 1: Less Wrong Comments Less Wrong is a site founded by Eliezer Yudkowsky for Eliezer Yudkowsky fans who wanted to discuss Eliezer Yudkowsky’s ideas. So, for whatever it’s worth - the comments on his essay were pretty negative. Carl Shulman, an independent researcher with links to both OpenPhil and MIRI (Eliezer’s org), writes the top-voted comment. He works from a model where there is hardware progress, software progress downstream of hardware progress, and independent (ie unrelated to algorithms) software progress, and where the first two make up most progress on the margin. Researchers generally develop new paradigms once they have enough compute available to tinker with them. Progress in AI has largely been a function of increasing compute, human software research efforts, and serial time/steps. Throwing more compute at researchers has improved performance both directly and indirectly (e.g. by enabling more experiments, refining evaluation functions in chess, training neural networks, or making algorithms that work best with large compute more attractive). Historically compute has grown by many orders of magnitude, while human labor applied to AI and supporting software by only a few. And on plausible decompositions of progress (allowing for adjustment of software to current hardware and vice versa), hardware growth accounts for more of the progress over time than human labor input growth. So if you're going to use an AI production function for tech forecasting based on inputs (which do relatively OK by the standards tech forecasting), it's best to use all of compute, labor, and time, but it makes sense for compute to have pride of place and take in more modeling effort and attention, since it's the biggest source of change (particularly when including software gains downstream of hardware technology and expenditures). […] A perfectly correlated time series of compute and labor would not let us say which had the larger marginal contribution, but we have resources to get at that, which I was referring to with 'plausible decompositions.' This includes experiments with old and new software and hardware, like the chess ones Paul recently commissioned, and studies by AI Impacts, OpenAI, and Neil Thompson. There are AI scaling experiments, and observations of the results of shocks like the end of Dennard scaling, the availability of GPGPU computing, and Besiroglu's data on the relative predictive power of computer and labor in individual papers and subfields. In different ways those tend to put hardware as driving more log improvement than software (with both contributing), particularly if we consider software innovations downstream of hardware changes. Vanessa Kosoy makes the obvious objection, which echoes a comment of Eliezer’s in the dialogue above: I'm confused how can this pass some obvious tests. For example, do you claim that alpha-beta pruning can match AlphaGo given some not-crazy advantage in compute? Do you claim that SVMs can do SOTA image classification with not-crazy advantage in compute (or with any amount of compute with the same training data)? Can Eliza-style chatbots compete with GPT3 however we scale them up? Mark Xu answers: My model is something like: For any given algorithm, e.g. SVMs, AlphaGo, alpha-beta pruning, convnets, etc., there is an "effective compute regime" where dumping more compute makes them better. If you go above this regime, you get steep diminishing marginal returns.
Therefore, one of primary impact of new algorithms is to enable performance to continue scaling with compute the same way it did when you had smaller amounts. In this model, it makes sense to think of the "contribution" of new algorithms as the factor they enable more efficient conversion of compute to performance and count the increased performance because the new algorithms can absorb more compute as primarily hardware progress. I think the studies that Carl cites above are decent evidence that the multiplicative factor of compute -> performance conversion you get from new algorithms is smaller than the historical growth in compute, so it further makes sense to claim that most progress came from compute, even though the algorithms were what "unlocked" the compute. For an example of something I consider supports this model, see the LSTM versus transformer graphs in https://arxiv.org/pdf/2001.08361.pdf I also found Vanessa’s summary of this reply helpful: Hmm... Interesting. So, this model says that algorithmic innovation is so fast that it is not much of a bottleneck: we always manage to find the best algorithm for given compute relatively quickly after this compute becomes available. Moreover, there is some smooth relation between compute and performance assuming the best algorithm for this level of compute. [EDIT: The latter part seems really suspicious though, why would this relation persist across very different algorithms?] Or at least this is true is "best algorithm" is interpreted to mean "best algorithm out of some wide class of algorithms s.t. we never or almost never managed to discover any algorithm outside of this class". This can justify biological anchors as upper bounds[1]: if biology is operating using the best algorithm then we will match its performance when we reach the same level of compute, whereas if biology is operating using a suboptimal algorithm then we will match its performance earlier. Charlie Steiner objects: Which examples are you thinking of? Modern Stockfish outperformed historical chess engines even when using the same resources, until far enough in the past that computers didn't have enough RAM to load it. I definitely agree with your original-comment points about the general informativeness of hardware, and absolutely software is adapting to fit our current hardware. But this can all be true even if advances in software can make more than 20 orders of magnitude difference in what hardware is needed for AGI, and are much less predictable than advances in hardware rather than being adaptations in lockstep with it. And Paul Christiano responds: Here are the graphs from Hippke (he or I should publish summary at some point, sorry). I wanted to compare Fritz (which won WCCC in 1995) to a modern engine to understand the effects of hardware and software performance. I think the time controls for that tournament are similar to SF STC I think. I wanted to compare to SF8 rather than one of the NNUE engines to isolate out the effect of compute at development time and just look at test-time compute. So having modern algorithms would have let you win WCCC while spending about 50x less on compute than the winner. Having modern computer hardware would have let you win WCCC spending way more than 1000x less on compute than the winner. Measured this way software progress seems to be several times less important than hardware progress despite much faster scale-up of investment in software. But instead of asking "how well does hardware/software progress help you get to 1995 performance?" you could ask "how well does hardware/software progress get you to 2015 performance?" and on that metric it looks like software progress is way more important because you basically just can't scale old algorithms up to modern performance. The relevant measure varies depending on what you are asking. But from the perspective of takeoff speeds, it seems to me like one very salient takeaway is: if one chess project had literally come back in time with 20 years of chess progress, it would have allowed them to spend 50x less on compute than the leader. Response 2: AI Impacts + Matthew Barnett AI Impacts gathered and analyzed a dataset of who predicted AI when; Matthew Barnett helpfully drew in the line corresponding to Platt’s Law (everyone always predicts AI in thirty years). Just eyeballing it, Platt’s Law looks pretty good. But Holden Karnofsky (see below) objects that our eyeballs are covertly removing outliers. Barnett agrees this is worth checking for and runs a formal OLS regression. Platt’s Law in blue, regression line in orange. He writes: I agree this trendline doesn't look great for Platt's law, and backs up your observation by predicting that Bio Anchors should be more than 30 years out. However, OLS is notoriously sensitive to outliers. If instead of using some more robust regression algorithm, we instead super arbitrarily eliminated all predictions after 2100, then we get this, which doesn't look absolutely horrible for the law. Note that the median forecast is 25 years out. I’m split on what to think here. If we consider a weaker version of Platt’s Law, “the average date at which people forecast AGI moves forward at about one year per year”, this seems truish in the big picture where we compare 1960 to today, but not obviously true after 1980. If we consider a different weaker version, “on average estimates tend to be 30 years away”, that’s true-ish under Barnett’s revised model, but not inherently damning since Barnett’s assuming there will be some such number, it turns out to be 25, and Ajeya gave the somewhat different number of 32. Is that a big enough difference to exonerate her of “using” Platt’s Law? Is that even the right way to be thinking about this question? Response 3: Real OpenPhil The hypothetical OpenPhil in Eliezer’s mind having been utterly vanquished, the real-world OpenPhil is forced to step in. OpenPhil CEO Holden Karnofsky responds to Eliezer here. There’s a lot of back and forth about whether the report includes enough caveats (answer: it sure does include a lot of caveats!) but I was most interested in the attacks on Eliezer’s two main points. First, the point that biological anchors are fatally flawed from the start and measuring FLOP/S is no better than measuring power consumption in watts. Holden: If the world were such that: We had some reasonable framework for "power usage" that didn't include gratuitously wasted power, and measured the "power used meaningfully to do computations" in some important sense;
June 20, 2023 · Original source
As penance for my previous mistake, I’ll try to describe Davidson’s forecast in more depth. Raising The Biological Anchors Last year I wrote about Open Philanthropy’s Biological Anchors, a math-heavy model of when AI might arrive. It calculated how fast the amount of compute available for AI training runs was increasing, how much compute a human-level AI might take, and estimated when we might get human level AI (originally ~2050; an update says ~2040)
Last year I wrote about Open Philanthropy’s Biological Anchors, a math-heavy model of when AI might arrive. It calculated how fast the amount of compute available for AI training runs was increasing, how much compute a human-level AI might take, and estimated when we might get human level AI (originally ~2050; an update says ~2040)
The basic Bio Anchors model Compute-Centric Framework (from here on CCF) update Bio Anchors to include feedback loops: what happens when AIs start helping with AI research? In some sense, AIs already help with this. Probably some people at OpenAI use Codex or other programmer-assisting-AIs to help write their software. That means they finish their software a little faster, which makes the OpenAI product cycle a little faster. Let’s say Codex “does 1% of the work” in creating a new AI. Maybe some more advanced AI could do 2%, 5%, or 50%. And by definition, an AGI - one that can do anything humans do - could do 100%. AI works a lot faster than humans. And you can spin up millions of instances much cheaper than you can train millions of employees. What happens when this feedback loop starts kicking in? You get what futurists call a “takeoff”. The first graph shows a world with no takeoff. Past AI progress doesn’t speed up future AI progress. The field moves forward at some constant rate. The second graph shows a world with a gradual “slow” takeoff. Early AIs (eg Codex) speed up AI progress a little. Intermediate AIs (eg an AI that can help predict optimal parameter values) might speed up AI research more. Later AIs (eg autonomous near-human level AIs) could do the vast majority of AI research work, speeding it up many times. We would expect the early stages of this process to take slightly less time than we would naively expect, and the latter stages to take much less time, since AIs are doing most of the work. The third graph shows a world with a sudden “fast” takeoff. Maybe there’s some single key insight that takes AIs from “mere brute-force pattern matchers” to “true intelligence”. Whenever you get this insight, AIs go from far-below-human-level to human-level or beyond, no gradual progress necessary. Before, I mentioned one reason Davidson doesn’t like these terms - “slow takeoff” can be fast. It’s actually worse than this; in some sense, a “slow takeoff” will necessarily be faster than a “fast takeoff” - if you superimpose the red and blue graphs above, the red line will be higher at every point1. CCF departs from this terminology in favor of trying to predict a particular length of takeoff in real time units. Specifically, it asks: how long will it take to go from the kind of early-to-intermediate AI that can automate 20% of jobs, to the truly-human-level AI that can automate 100% of jobs? (“Can automate” here means “is theoretically smart enough to automate” - actual automation will depend on companies fine-tuning it for specific tasks and providing it with the necessary machinery; for example, even a very smart AI can’t do plumbing until someone connects it to a robot body to do the dirty work. CCF will talk more about these kinds of considerations later.) In order to figure this out, it needs to figure out the interplay of a lot of different factors. I’m going to focus on the three I find most interesting: How much more compute does it take to train the AI that can automate 100% of the economy, compared to the one that can automate 20%?
February 12, 2026 · Original source
[Original post: Biological Anchors: A Trick That Might Or Might Not Work]
Ajeya Cotra’s Biological Anchors report was the landmark AI timelines forecast of the early 2020s. In many ways, it was prescient - it nailed the scaling hypothesis, predicted the current AI boom, and introduced concepts like “time horizons” that have entered common parlance. In most cases where its contemporaries challenged it, its assumptions have been borne out, and its challengers proven wrong.
First, a refresher. What was Bio Anchors? How did it work?
biopsychosocial model

biopsychosocial model is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between May 25, 2022 and July 25, 2023. The archive places it in contexts such as "the biopsychosocial model isn’t exactly a closely-guarded secret"; "Medicine, and especially psychiatry, already uses the Biopsychosocial Model for various purposes"; "The Biopsychosocial Model is most often used to explain the causes of illness". It most often appears alongside American Psychological Association, Medical Model, NASA.

Mention count
3
Issue count
3
First seen
May 25, 2022
Last seen
July 25, 2023
May 25, 2022 · Original source
People like to paint psychiatrists as close-minded monomaniacs who think medication is the only possible solution to everything. This is true of some, but an insult to others; contra what Johann Hari thinks, the biopsychosocial model isn’t exactly a closely-guarded secret.
July 14, 2023 · Original source
Medicine, and especially psychiatry, already uses the Biopsychosocial Model for various purposes. It acknowledges that conditions (eg depression) can be caused by an interaction of biological factors (eg genes), psychological factors (eg trauma), and social factors (eg an abusive relationship). Some conditions are 99% biological and only 1% psychosocial; others are the reverse, but we expect most to be some combination of those things.
This isn’t an exact match for a model of disability; the Biopsychosocial Model is most often used to explain the causes of illness, not how it impairs people. Still, I think there is a close enough analogy that it could be easily extended to disability.
The Biopsychosocial Model, unlike the Social Model or the straw-man Medical Model, emphasizes biology and social conditions alike. It allows either treating impairments medically or accommodating them socially, depending on what the patient prefers and what society is willing to change. It already has a good reputation among doctors and medical ethicists.
July 25, 2023 · Original source
I think the Biopsychosocial Model might be missing the factor of ... minority-ness.
overall point taken, but i do think the more salient/useful feature of the social model is that its theory of social causation intuitively produces a sense of social responsibility. does it matter necessarily if society "caused" the disability if the larger motivation is to promote social action? whether the approach is infrastructural or medical in nature, either way the responsibility to accommodate falls on society's shoulders at large. i think the social model's recognition of this necessity still advantages it over the biopsychosocial model […]
essentially i'm pointing to a functional disconnect between the two models. if the question is "what causes disability?" then i would agree that turning to the biopsychosocial model makes sense there. but if the question is "what should we do about it?" then i think the social model proves the more useful there. this is assuming we agree generally that social action of some sort is what's called for in order to solve the problem of, say, providing blind people with options for transportation […]
Bolshevism

Bolshevism is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between October 28, 2022 and August 23, 2024. The archive places it in contexts such as "Summers concludes that this conspiracy against civilization has survived to the modern day and rebranded as Bolshevism"; "world of confusion, of Bolshevism"; "maybe he was talking about Bolshevism or something". It most often appears alongside France, Germany, Jews.

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Bolshevism
Mention count
3
Issue count
3
First seen
October 28, 2022
Last seen
August 23, 2024
October 28, 2022 · Original source
And is this “world-wide plot against civilization” in the room with us right now? In the most 1920s argument ever, Summers concludes that this conspiracy against civilization has survived to the modern day and rebranded as Bolshevism.
Paging Arthur Miller… You can just buy the Malleus Maleficarum. So, why haven’t you? Might the witches’ spiritual successors be desperate to delegitimize the only thing they’re truly afraid of - the vibrant, time-tested witch hunting expertise of the Catholic Church? Summers writes: It is safe to say that the book is to-day scarcely known save by name. It has become a legend. Writer after writer, who had never turned the pages, felt himself at liberty to heap ridicule and abuse upon this venerable volume. . . He did not know very clearly what he meant, and the humbug trusted that nobody would stop to inquire. For the most part his confidence was respected; his word was taken. We must approach this great work - admirable in spite of its trifling blemishes - with open minds and grave intent; if we duly consider the world of confusion, of Bolshevism, of anarchy and licentiousness all around to-day, it should be an easy task for us to picture the difficulties, the hideous dangers with which Henry Kramer and James Sprenger were called to combat and to cope . . . As for myself, I do not hesitate to record my judgement . . . the Malleus Maleficarum is one of the most pregnant and most interesting books I know in the library of its kind. Big if true. I myself read the Malleus in search of a different type of wisdom. We think of witch hunts as a byword for irrationality, joking about strategies like “if she floats, she’s a witch; if she drowns, we’ll exonerate the corpse.” But this sort of snide superiority to the past has led us wrong before. We used to make fun of phlogiston, of “dormitive potencies”, of geocentric theory. All these are indeed false, but more sober historians have explained why each made sense at the time, replacing our caricatures of absurd irrationality with a picture of smart people genuinely trying their best in epistemically treacherous situations. Were the witch-hunters as bad as everyone says? Or are they in line for a similar exoneration? The Malleus is traditionally attributed to 15th century theologians/witch-hunters Henry Kramer and James Sprenger, but most modern scholars think Kramer wrote it alone, then added the more famous Sprenger as a co-author for a sales boost. The book has three parts. Part 1 is basically Summa Theologica, except all the questions are about witches. Part 2 is basically the DSM 5, except every condition is witchcraft. Part 3 is a manual for judges presiding over witch trials. We’ll go over each, then return to this question: why did a whole civilization spend three centuries killing thousands of people over a threat that didn’t exist? II: Thou Shalt Have Witches In Heaven Almost half the Malleus is devoted to purely philosophical questions surrounding witchcraft. Paramount among these: why would a perfectly just God allow witches to exist? The answer probably has something to with the Devil. And you can probably get part of the way by saying that God has a principled commitment to let the Devil meddle in human affairs until the End of Days. But then you get another issue: the Devil was once the brightest of angels. He’s really really powerful. Completely unrestrained, he can probably sink continents and stuff. So why does he futz around helping elderly women kill their neighbors’ cattle? Put a different way, there’s a very narrow band between “God restrains the Devil so much that witchcraft can’t exist” and “God restrains the Devil so little that witches have already taken over the world”. Prima facie, we wouldn’t expect the amount God restrains the Devil to fall into this little band. But in order to defend the existence of witchcraft, Kramer has to argue that it does. Did you know: the German name for Malleus Maleficarum is “Der Hexenhammer” His arguments ring hollow to modern ears, and honestly neither God nor the Devil comes out looking very good. God isn’t trying to maximize a 21st century utilitarian view of the Good, He’s trying to maximize His own glory. Allowing some evil helps with this, because then He can justly punish it (and being just is glorious) or mercifully forgive it (and being merciful is also glorious). But, if God let the Devil kill everyone in the world, then there would be no one left to praise God’s glory, plus people might falsely think God couldn’t have stopped the Devil if He’d wanted to. So the glory-maximizing option is to give the Devil some power, but not too much. Meanwhile, the Devil isn’t trying to maximize 21st century utilitarian evil. He’s trying to turn souls away from God. So although he could curse people directly, what he actually wants is for humans to sell their soul to him in exchange for curse powers. So whenever possible he prefers to act through witches. The rest of this part is just corollaries of these basic points. But there sure are a lot of corollaries, like: Question III: Whether Children Can Be Generated By Incubi And Succubi So, we all know that sometimes demons who look like hot men come and have sex with women in the middle of the night. But can these demons make a woman pregnant? It would seem that the answer should be no, because the Bible says God created Man in His own image, which suggests the conception of new humans is pretty holy, which makes it sound kind of blasphemous to suggest demons could do it. On the contrary side, we know that demons can have kids with humans. The Bible says so: Genesis 6 talks about nephilim, children of “the sons of God” by “the daughters of men”. And St. Augustine seems to think all those stories about Greek gods impregnating women were incubus demons. So “it is just as Catholic a view to hold that men may at times be begotten by means of incubi and succubi, as it is contrary to the words of the Saints and even to the tradition of Holy Scripture to maintain the opposite opinion.” Since the incubi cannot produce semen themselves, probably they steal it from some other human, then bring it to the womb of the person they are having sex with. Question VI: Concerning Witches Who Copulate With Devils - Why Is It That Women Are Chiefly Addicted To Evil Superstitions? Why are most witches women? Probably because women are awful: John Chrystotom says . . . what else is woman but a foe to friendship, an unescapable punishment, a necessary evil, a natural temptation, a desirable calamity, a domestic danger, a delectable detriment, an evil of nature, painted with fair colors! Therefore if it be a sin to divorce her when she ought to be kept, it is indeed a necessary torture, for either we commit adultery by divorcing her, or we must endure daily strife. In fact, the word for woman in Latin is femina, which can also have the form feminus, which is literally just fe minus (lesser in faith)! Because women are less faithful, more carnal, and mentally weaker, they are more easily tempted by the Devil, and make up the majority of witches. Question IX: Whether Witches May Work Some Prestidigitory Illusion So That The Male Organ Appears To Be Entirely Removed And Separate From The Body. IE: can witches steal your penis? It would seem that witches can steal your penis. After all, many people claim to have had their penis stolen by witches. The fifteenth-century peasants among whom Kramer went witch-hunting claimed this. And modern people claim it even today. Frank Bures’ The Geography Of Madness is a great book about recent penis-stealing-witch-related panics, which happened until the mid-20th century in Asia and still happen in Africa. For some reason, this is a classic concern across cultures and centuries. But on the contrary side, God created the human body, and charged Man to be fruitful and multiply. So if the Devil could steal people’s penises it would seem that he must be more powerful than God, which is blasphemous. Kramer answers that witches cannot steal men’s penises, but they can cast an illusion that causes it to look and feel like the penis has been stolen. Classic namby-pamby liberal centrist compromise! Question XIV: The Enormity Of Witches Is Considered, And It Is Shown That The Whole Matter Should Be Rightly Set Forth And Declared This is is one of those “more a comment than a question” questions. Kramer suggests that not only is witchcraft a sin, but it is the worst sin. This section (plus the next few) is a list of all the different things witches are worse than, and why. Witches are worse than pagans, because pagans never knew about Christianity. But witches know about it and deliberately reject it. Witches are worse than Jews, because Jews never claimed to be Christian. But witches were once Christian and then renounced the faith. Witches are worse than ordinary heretics, because ordinary heretics only reject some parts of the faith. But witches implicitly reject all of it by supporting the Devil himself. Witches are worse than Adam, because although Adam’s sin had terrible consequences for the human race, this wasn’t really his direct decision. If we limit our consideration to the specific act, Adam just disobeyed God once, but witches are disobeying God all the time. In fact witches are more sinful than the Devil himself (!), and the Devil’s sin “is in many respects small in comparison with the crimes of witches”. For “both sin against God; but [the Devil] against a commanding God, and [witches] against One who dies for us, Whom, as we have said, wicked witches offend above all.” Witches are literally the worst thing in the entire universe. Whatever else you are concerned about, there is no way it is anywhere close to as bad as witches. If you had the faintest idea how bad witches really were, you would be freaking out all the time. You need to stop whatever you were doing before and become some kind of witch-minimizer instead. This ends Part 1, but if you’re interested you might want to look at further questions from this section, including What Is The Source Of The Increase Of Works Of Witchcraft? Whence Comes It That The Practice Of Witchcraft Hath So Notably Increased?
July 28, 2023 · Original source
How about the drug-fueled fantasies of a serial killer? Or perhaps the innovative, sophisticated prose of the first novel of a brilliant polymath? Or would you prefer a book written in such fantastically lucid language it feels more like a dream than a story? Possibly you’d be more interested in a book so unbelievably dangerous that the attempt to publish it was literally suicidal. Or maybe an unusual political book, such as an ultraconservative indictment of democracy by Adolf Hitler's favorite author? Or rather an indictment of both Hitler and Bolshevism, written by someone who was among the first to recognize Hitler as a true enemy of humanity?
His emotional range spans only from a kind of tired nostalgia to the reckless joy of intoxication, punctuated by his most prized feeling by far, the gleefully murderous “bloodthirst” of mortal combat. So everyone who had read some Jünger, which at the time of publication would likely include most of the German population and definitely most of the Nazis, could see right through the facade of fiction. It is an obvious conceit that made the book just barely publishable, in a time and place where saying outright that the Nazis were disgusting savages would have gotten everyone involved a headshot. After 1945, Jünger did admit that the book was (also) a commentary on the political reality of its time. And that he knew perfectly well that in publishing this “fiction” he was playing with his life. And still he got it published, uncensored, in Germany in 1939, just before Hitler started the second World War. Today the most widely accepted history of the subject is that Jünger was only saved from a grisly fate by the personal intervention of Hitler himself, who loved “Storm of Steel” and presumably wouldn't have liked to admit that his favorite author utterly despised him. And it would have been very tempting to just not admit that, because before the Nazis came to power, Jünger had sympathized with them, although he never counted himself among them. Hitler had sent Jünger fan letters; the responses have unfortunately been lost. Jünger’s many political rants in the 1920s do contain several explicit endorsements of the strength of the Nazis and of their value as allies to Jünger’s vague and contradictory nationalist cause. By the time he wrote the Marble Cliffs, he had stopped endorsing them. But this history made it easy for the Nazis to publicly pretend he had just written a fictional novella, or maybe he was talking about Bolshevism or something, but surely he didn’t mean them. It was an Emperor’s New Clothes situation, where nobody dared to say out loud what everyone could see. Although additional reprints were verboten in 1942, the excuse of a lack of paper due to the war was perfectly plausible and didn’t betray the discomfort with the content that nevertheless is well-documented to have been present among the Nazi ranks. All of that is to say we can safely dispense with the charade entirely and accept that this book is about the Nazis. It makes general points on the nature and fate of tyranny that do apply to Bolshevism, but the Nazis are the immediate and obvious instance of tyranny to which this book clearly reacts. And it is written by someone who had walked among the Nazis, had previously been friends with some of them, exchanged letters with many of the best-informed men especially in the military, and was perceptive enough for his opinions to deserve much of the confidence he states them with. Besides this conceit, the other concession to the political realities Jünger makes is that the book makes no mention of Jews. The world he is describing is fictional, but it is an amalgamation of European cultures that all had some Jews, so this absence is conspicuous. Obviously Jünger couldn't possibly have seen this book published if it depicted Jews in any way that wasn’t extremely negative. I guess he was unwilling to do that. In the 1920s, Jünger had ranted against “globalist” liberal Jews several times, and once even argued that one couldn't be both a Jew and a German. But he saw nothing wrong with being an orthodox Jew, openly admired Zionism, expressed in letters complete revulsion with Nazi antisemitism and had even publicly spoken out against the pseudoscientific racial theories of the Nazis. After writing this book, when serving as an officer again in France, Jünger went on to save a couple of French Jews from deportation and death, at moderate risk to his own life. Later he’d discuss the Kabbalah with Gershom Sholem, the brother of his childhood friend Werner Sholem. For these reasons, I imagine he did not see Jews negatively enough for the Nazis, and was too uncompromising to pretend that even his narrator did. I think this dilemma fully explains why there are no Jews in this book. In 1935, when Winston Churchill for example still publicly admired “the courage, the perseverance, and the vital force” of Adolf Hitler, Jünger claims to have already understood the bottomlessness of Hitler's depravity by noticing he was using the word “Vernichtung” (annihilation) way too much. He was remarkably right, years before most could see it, but even more remarkably his method of understanding was a poet's acute sense of word choice! And from then, even though he agreed with nationalist dictatorship as a goal and method, he distanced himself from National Socialism because he was disgusted with the vile character of the leader of this particular nationalist dictatorship. If that doesn't show you the peculiar kind of man Ernst Jünger was, I don't know what to tell you. The craft and the poetry You all know the wild grief that besets us when we remember times of happiness. How far beyond recall they are, and we are severed from them by something more pitiless than leagues and miles. The “marble cliffs” in the title of this short novella unite senses of beauty, majesty and danger, which is programmatic for this entire book. It begins with a visionary description of life in the traditional society of “the Marina” in an overwhelmingly beautiful state of paradise. The narrator lives on the edge of this society in a “hermitage” with his brother, his housekeeper and his son. The latter has a strange power over the local population of poisonous snakes. This opening act is without question the most elaborate celebration of poetic beauty I have ever read. Superficially it could be dismissed as purple prose. But due to Jünger’s clever use of poetic techniques in what at first appears to be prose text, there’s a rhythm, a density and a lucidity to it that makes it pretty much a very long poem, and gives it an intoxicating quality which is most apparent when you read it out loud. In the autumn we feasted like sages and did honour to the exquisite wines in which the southern slopes of the Marina abound. When in the vineyards between red foliage and dark grape clusters we caught the jocund calls of the vintagers, when in the little towns and villages the wine-presses began to creak, and the odour of the pressed grape skins drew its heady veils round the farms, we would go down to the innkeepers, coopers and wine-growers, and drink with them from the full-bellied jug. And there we would always meet with gay companions, for the land is rich and fair, so that in it flourishes untroubled leisure, and wit and humour are its unquestioned coin. I know this works, because I did an experiment. I read this book aloud, to a room full of people who were smoking pot. The book is short and the plan was to read all of it over the evening. I have read to pot smokers occasionally, but with this book it was different. They were enjoying it very much for the first couple of chapters, and exclaimed many times it was “perfect” for pot. But some hours, chapters and joints in, when the narrator goes on an expedition into a fantastically beautiful forest, they were so utterly overwhelmed by the intensity of the descriptions of nature they asked me to stop. I and the only other sober person in the room were the only ones who were willing to continue. We all had very intense dreams that night. Once we had broken through the thick hedge of dogwood and blackthorn we entered the high forest, territory where the blow of an axe had never resounded. The ancient trunks, the pride of the Chief Ranger, stood gleaming damp like pillars with their capitals hidden by the mist. We walked among them as if through a spacious hall, and, like the magic setting of a stage, festoons of ivy and clematis blooms hung down towards us out of the void. The ground was piled high with mould and rotting branches, in the bark of which fiery red mushrooms had sprung up, so that we felt for a moment like divers wandering among coral gardens. Wherever one of the mighty trunks had fallen from age or struck by lightning, we stepped out on to a little clearing on which the yellow foxglove grew in thick clumps. On the rotting ground the deadly nightshade bloomed in profusion; on its stalk the dark purple calices shook like funeral bells. It comes as no surprise that Jünger had much practice writing that way, from putting into his diaries a lot of his dreams and his numerous drug experiences. Jünger had long been inclined to deeply poetic descriptions of the real events he described, but this intensity at this length is genuinely new to his writing. Wherever he can use plurals he prefers them over the singular, wherever he can use more melodic and beautiful verbs (like when the characters “step out on” rather than “walk into” clearings) he does. Maybe the pretense of the narrator not being himself allowed Jünger to wallow in his characteristic aestheticism, take it to an extreme and arguably to the point of self-parody. Skip to the next heading if you don’t care about translation The extreme language of this book made me doubt there would be any translation into English that could do it justice. After all, if you throw this last excerpt into DeepL you get: After breaking through a dense fringe of blackthorn and cornets, we entered the high forest, in the grounds of which the blow of the axe had never sounded. The old trunks, which formed the pride of the head forester, stood in the damp glow like columns whose capitals were hidden by the haze. We walked among them as through wide vestibules, and like the magic work on a stage, ivy vines and clematis blossoms hung down on us from the invisible. The ground was covered high with mulm and decaying branches on whose bark mushrooms, burning red cup fungi, had settled, so that a feeling of divers walking through coral gardens crept over us. Where one of these giant trunks was tossed by age or lightning, we stepped out into small clearings where yellow foxglove stood in dense clumps. Belladonna bushes also proliferated on the rotten ground, on whose branches the flower calyxes in brown violet swayed like death bells. It’s still pretty, and it works on a matter-of-fact level. None of it is just wrong. But can you see how it has a lot less of the dreamlike quality? A “fringe” is a geographical feature, while the “hedge” emphasizes its role as an obstacle in a journey. Those “old” trunks are less poetic than “ancient” ones. A “head forester” is a job description, while a “Chief Ranger” is a seminal figure. The “vestibules” are a literal translation of the original, but the English word is used a lot less than German “Vestibüle” was back then. So that’s a word you may need to work to understand, which gets you out of the story’s flow, so “spacious hall” is better. There are even more such nitpicks to be made even in this short paragraph, but my point is these difficulties pervade every single paragraph of the book. ChatGPT very similarly fails to overcome them. Since January, there is a new translation by Tess Lewis, which has the advantage of being available on Kindle. I’ll spare you another repeat of the same paragraph and just say I think DeepL did most of this translation. But Tess Lewis did improve on many of its word choices and I’ll grudgingly concede this translation is good enough. It still sounds too modern for me, too much like prose and too little like poetry. Therefore, all previous and following excerpts are from the Stuart Hood translation, published in 1947, which I was astonished to find does pull it off! Let me assure anyone who doesn’t speak German, or doesn’t study translation, that this one is absolutely exemplary and surely represents years of painstaking work. Stuart Hood was a Scot who knew German very well. Like Jünger he was a veteran officer, and he needed German for his intelligence missions in World War 2. This is his very first published translation of an entire book. It harnesses a considerable talent, which is also evidenced by how Stuart Hood went on to become an accomplished writer himself, a BBC executive, a professor and several other notable things. And it is clearly a labor of intense love — right after the war, while working on it, Hood corresponded with Jünger and even went to visit him at least twice and they talked at length about the art of translation and how to translate specific points of the Marble Cliffs. The end of this last quote, “on its stalk the dark purple calices shook like funeral bells.” exemplifies how precisely Hood has understood Jünger. Why “calices”, not “chalices”? Because that is the old-fashioned form of this word, and using it is unnecessarily peculiar, but it doesn’t make you stop and look into a dictionary. It isn’t even more precise than DeepL’s and ChatGPT’s and Tess Lewis’s “calyxes” for the word “Blumenkelche” in the Original. But it captures precisely how the author was using his German language. This is because on every page of the original, there are choices of individual words that evoke subtleties of mood and allusion that are strictly impossible to translate, because English doesn’t have a similar-enough group of synonyms from which to make the equivalent choice. Some of that must inevitably get lost in translation. But these “calices” are an example of how Hood has the audacity to frequently insert his own new peculiar word choices — which restore exactly the same effect! It might take entire months until AI can do that! Unfortunately the New Directions edition with this translation has been out of print for a while, although I heard from a regrettably less law-abiding friend that the PDF is easy to find. But a few years ago someone bought the UK rights to this translation and republished it. While this edition has several uncorrected OCR mistakes, one of which horrifyingly turns “Flayer’s Copse” into “Player’s Copse”, at least this makes the better translation available (legally) again. What actually happens (spoilers) After six chapters of descriptions of paradise, and of the botanical work the brothers do since they don’t need to make a living, the book continues with a gradual decline of this gorgeous world. This again is much more of a richly detailed description than a story plot. It begins with the introduction of the Chief Ranger. The brothers know him from their military community, from before his takeover begins. There is some debate about whether the Chief Ranger stands for Hitler, Stalin or Hermann Göring. I think this debate is misguided. The character of the Chief Ranger, the antagonist of the narrator and all he holds dear, is never named but only ever referred to by his title. He does not appear to have staff or lieutenants at all, nor any personal history. And Jünger is profoundly uninterested in the personalities of all his characters beneath what they pay attention to (except the narrator’s brother) so even this important figure is roughly sketched at best. Therefore, I believe he is best understood as more of an archetype or role, The Tyrant, denuded of the individual traits or histories that make one tyrant a Führer, another a General Secretary and yet another a Great Leader. So, what makes a tyrant? According to Jünger, “wherever free spirits establish their sway these primeval powers will always join their company like a snake creeping to an open fire. They are the old connoisseurs of power who see a new day dawning in which to reestablish the tyranny that has lived in their hearts since the beginning of time.” The Chief Ranger is also “a master of feigning frankness that was full of snares for the unwary.” He has a reputation for wealth and a strong visual brand (a gold-embroidered green coat) that makes sure he always leaves “an imprint on one’s memory”. He exudes a “breath of primitive power” and has a strong charisma that gives an impression of “both cunning and unshakable power — yes, at times even majesty.” As he begins to usurp power, “reports spread from mouth to mouth of infringements of the law and of acts of violence in the neighbourhood, and finally such incidents occurred publicly and with no attempt to concealment. A cloud of fear preceded the Chief Ranger like the mountain mist that presages the storm. Fear enveloped him, and I am convinced that therein far more than in his own person lay his power.” From what I know about tyrants, that sounds about right. For the next seven chapters, the vile followers of the Chief Ranger continually corrupt everything. The sophisticated culture of the Marina is surrounded by the rough herdsmen clans of the surrounding Campagna steppe, beyond which lies the Chief Ranger’s forest populated by lowlifes. The class metaphor is blindingly obvious, and Jünger’s theory of how these lowlifes overcome first the Campagna and then the Marina is not subtle either. After the Alta Plana war, and the defeat, the entire society has been weakened. “Thus in exhausted bodies corruption will set in by way of wounds which a sound man would scarcely notice. The first symptoms, therefore, were not recognized.” Very gradually, law gives way to lawlessness, spreading from and with the lower classes foresters in many different ways. Violent crime grows, in descriptions very reminiscent of the many deadly street fights of the late Weimar republic. Various elements of traditional culture become corrupted. Those who would defend it are intimidated and attacked. The constitutional lawful reaction is too slow, so by the time it manages to convene and have democratic debates, it is already infiltrated. And there’s one paragraph worth quoting in full. Herein, above all, lay a masterly trait of the Chief Ranger. He administered fear in small doses which he gradually increased, and which aimed at crippling resistance. The role he played in the disorders which were so finely spun in the heart of his woods was that of a power for order; for while his agents of lower rank, who had established themselves in the clans, fostered anarchy, the initiated penetrated into the civic offices and the magistracy, and there won the reputation of men of deeds who would bring the mob to its senses. Thus the Chief Ranger was like an evil doctor who first encourages the disease so that he may practise on the sufferer the surgery he has in mind. Today this is a mainstream view in German history. In 1939, it could have been prosecuted as high treason and punished with death. On the backdrop of ever escalating mayhem, two old men who are friends of the brothers are described: Belovar, a clan patriarch from the Campagna, and Father Lampros, an eminent Christian monk. In very different ways, they both are very helpful, each both in the botanical work and against the mounting threat. The brothers decide against meeting the violence with violence, delve deeper into their work, become increasingly pessimistic and develop a hope that they can rescue the results of their work into an imperishable afterlife by burning it with an ancient mystical crystal lens that they somehow inherited. The narrator describes continued excursions for rare plants, through the country that is becoming increasingly treacherous and foreboding, until finally, well after the middle point of the book, with one particular excursion for an extremely rare flower, the actual continual story begins. Today we look at the Nazis with horror, but Jünger has dug too many trenches into hills of rotting corpses to be easily horrified. Instead of horror, his feelings towards the Nazis are mostly contempt, seasoned with disgust, and that has been pervading his description of the rise of the Chief Ranger’s henchmen over the last couple of chapters. But he does give one instance of pure horror and it is here, in the very heart of the book, when the two brothers on their excursion happen to discover, in the ill-reputed area of Flayer's Copse, the Chief Ranger’s remote “flaying-hut” of Koppels-Bleek. The original Köppels-Bleek is a German wordplay, about as subtle as a drone base in a sci-fi novel that happens to be called Obamazliez. Koppels-Bleek is where the Chief Ranger has his enemies tortured to death. It has frequently been called a concentration camp, but that is imprecise. It is really a Vernichtungslager, a death camp, which unlike a “normal” concentration camp is built for the express purpose that no torture victim ever gets out alive. This is a prediction, because while Nazi concentration camps were set up starting in 1933, Vernichtungslager were only built three years after the “Marble Cliffs” were published. After an intensely gruesome description of the particulars of this place, the narrator assesses its importance as follows. Such are the dungeons above which rise the proud castles of the tyrants, and from them is to be seen rising the curling savoury smoke of their banquets. They are terrible noisome pits in which a God-forsaken crew revels to all eternity in the degradation of human dignity and human freedom. He is so certain he has captured the very essence of tyranny, “the abode of tyranny in all its shame”, that he puts this climax at the two thirds mark of the book and makes it exceedingly obvious this is where the third and final act begins, as the pace of the book changes entirely. Although the narrator still includes some retrospectives, he is now finally telling a real story. Strikingly, the brothers return to botany — remember this, it will be important later — and then to their home, where they soon get two conspiring visitors. Braquemart is a competent, racist, nihilistic fellow veteran. The narrator despises him at length for his heartless theory-mindedness. Prince Smyrna is new, young, seems to the narrator to know “the nature of justice and order” but is too weak and inexperienced to shoulder the responsibility he is heroically taking on. The two visitors want to Do Something about the Chief Ranger — what exactly is never said, though a personal confrontation or assassination is implied. They leave for the Chief Ranger's territory. This entire chapter feels very much like a comment on some political acquaintances of Jünger who attempted to challenge the Nazis, and failed. The next day, Father Lampros gives the narrator a mission to arm himself and look for these two men. He goes to old Belovar's farmstead, where he learns of commotion in the direction of Flayer's Copse, and the old clan patriarch goes to war. Before, the book was a dreamy soliloquy; now we see dramatic wartime action. Ernst Jünger has had a lot of practice with writing about that kind of thing, and it shows. Their small but experienced war party with a lot of dogs goes towards Koppels-Bleek and is soon met with two confused, horrific, riveting battles. The narrator stumbles through and finds at Koppels-Bleek the heads of Prince Smyrna and Braquemart. The former strikes him as a symbol of how nobility remains real, and he picks it up. With it, he retreats through mayhem and danger into the complete flaming destruction of the Marina. He marvels at the beauty of the flames — remember this too, it will also be important later — and, with his hunters in hot pursuit, runs to his house. There his son uses his strange power over the local population of poisonous snakes to make them defeat the nearest attackers. The brothers burn down the house, go find Father Lampros and see him die. From an old soldier comrade who owes them a favor they get room on a ship to flee across the water to Alta Plana, where an old enemy who owes them another favor takes them in. There’s an implicit framing story of how the narrator lives to tell the tale of these memories to some unspecified audience, and as it ends it mentions in passing that sometime after these events, a new cathedral has been built on the ruins of the Marina and the head of Prince Smyrna went there as a relic. This small bit still stands out today, and would have stood out even more starkly to contemporary readers, because in the context of everything that happened before, this bit publicly, extremely boldly, and correctly, predicts the eventual fate of the Nazis. Not once in this entire story has the narrator expressed surprise at this progression of events, or given any other indication it is in any way unlikely. The narrator, and the author through him, seems to be saying this is just the way it goes with tyranny, when a society has lost too much of its strength to fight off the bestial attacks of the lowly. I have omitted not just many smaller elements of the story but also a huge number of allusions to ancient history, (German) literature and especially the Bible. I imagine Jünger put them there as prizes for the few who would find them. This is one of the ways that I think On the Marble Cliffs is Ernst Jünger’s Unsong: a vehicle that lets a prolific nonfiction author
August 23, 2024 · Original source
The trick of it seems to be to take flat, unimaginative prose and cut it up in lines of varying length, and often omit the capitals at the beginning of the lines—"shredded prose," with no "kick" in it at all. These men are the "Reds" of literature. They would reverse or destroy all the recognized rules and standards upon which literature is founded. They show what Bolshevism carried out in the field of poetry, would lead to […]
Bretton Woods

Bretton Woods is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between March 03, 2021 and May 21, 2021. The archive places it in contexts such as "Breaking Bretton Woods took the finger out of the dyke"; "the great powers came together at Bretton Woods to design a new financial system"; "ABHoN doesn't give any reason for the failure of Bretton Woods". It most often appears alongside Argentina, Britain, China.

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Bretton Woods
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3
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3
First seen
March 03, 2021
Last seen
May 21, 2021
March 03, 2021 · Original source
2: Elizabeth (AcesoUnderGlass) on what she learned by studying the recession of 1973. “My best guess is that something was going wrong in the US and world economy well before 1971, but the market was not being allowed to adjust. Breaking Bretton Woods took the finger out of the dyke and everything fluctuated wildly for a few years until the world reached a new equilibrium.”
May 04, 2021 · Original source
Then the global economic system blipped. As usual, economists will debate the exact causes forever. But the basic story is: after World War II, the great powers came together at Bretton Woods to design a new financial system. The US, as leader of the free world, dictated the terms: all global currencies would be pegged to the dollar, which in turn would be pegged to gold. This heavily favored the US, and the US pressed its advantage to get two decades of stellar growth and fund all those government programs and concessions to public sector unions. But the harder the US pressed, the more stress it placed on Bretton Woods, until finally in 1971 it collapsed under the strain and the global economy flailed around, confused.
The first thesis is mostly implicit. ABHoN doesn't give any reason for the failure of Bretton Woods and the 1970s economic crisis. It mostly takes it as a given, interesting only insofar as plutocrats used it as an excuse for pushing neoliberal policies. It never explicitly denies that it happened, it just thinks that it happened in the same sense that the sinking of the Maine happened - less interesting in and of itself than the fact that sinister forces were able to leverage it for their sinister ends.
May 21, 2021 · Original source
This has largely been a summary about wealth creation so far, but The Accidental Superpower is a story about a worldwide disorder that will follow from America’s disengagement from the world. To understand that prediction, you need to know what created and upholds the current world order. For Zeihan, that takes us back to Bretton Woods.
3: Bretton Woods
American empire was rejected out of an unwillingness to have a forever-war of occupation that would have been impractical to wage against the Soviets. Instead, America offers a deal that is “one of the great strategic gambits in history.” The deal offered benefits not only to England, France, and the Allies, but also to Japan and Germany that they couldn’t have even hoped to achieve had they won the war.6 Zeihan refers to this deal as “free trade” and “Bretton Woods,” based on the New Hampshire town in which the Americans dictated its terms to the Allies in 1944. It would let everyone sell into the best and last market in the world, with their commerce protected by the world’s only real navy, and all that America asked in return was the provision of cannon fodder against Soviet invasions. That may not have been such a big ask, as they may have lost their independence to such invasions without American assistance anyway. The deal was offered in pursuit of the strategic goal of containing the Soviets, presumably to avoid having them directly threaten Americans.
BTC

BTC is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between April 26, 2021 and November 16, 2022. The archive places it in contexts such as "Ethereum above 0.05 BTC"; "He's the reason BTC was depressed this bull cycle"; "I mined BTC with my laptop at first". It most often appears alongside Bitcoin, NYT, Twitter.

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BTC
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3
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3
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April 26, 2021
Last seen
November 16, 2022
April 26, 2021 · Original source
ECON/TECH 14. Gamestop stock price still above $100: 50% 15. Bitcoin above 100K: 40% 16. Ethereum above 5K: 50% 17. Ethereum above 0.05 BTC: 70% 18. Dow above 35K: 90% 19. ...above 37.5K: 70% 20. Unemployment above 5%: 40% 21. Google widely allows remote work, no questions asked: 20% 22. Starship reaches orbit: 60%
January 24, 2022 · Original source
ECON/TECH 14. Gamestop stock price still above $100: 50% 15. Bitcoin above 100K: 40% 16. Ethereum above 5K: 50% 17. Ethereum above 0.05 BTC: 70% 18. Dow above 35K: 90% 19. ...above 37.5K: 70% 20. Unemployment above 5%: 40% 21. Google widely allows remote work, no questions asked: 20% 22. Starship reaches orbit: 60%
November 16, 2022 · Original source
LET ME REPEAT THIS FOR EVERYONE AGAIN: Shitcoins are bad, and you should feel bad if you trade them. Get the fuck out of the shitcoin casino you dumb ass gamblers! Solana is garbage. TRON is garbage. Exchanged-based coins like FTT are garbage. Coins with fucking dogs faces are garbage. Bitcoin is the only cryptocurrency you should hold. Maybe ETH. Hedge your bets there. You need to CONTROL YOUR OWN KEYS. Don't lend your coins out to charlatans promising you 5%, 8%, 15%, or 20% "risk free" returns. They are all scam Ponzis. There is no such thing as risk free 20% returns. It doesn't exist. Stop chasing it. If you don't control your private keys, it's not your crypto. If you trust an exchange based in the Bahamas ran by a jabroni who thinks he needs SIX MONITORS, you are in for a bad time. I've been in cryptocurrency since 2010 when BTC was 81 cents. I lived through the MT GOX implosion. I have had more crypto stolen from me in hacks and exit scams than you probably have ever even seen. Learn from my experience. Listen to what I am saying. TWELVE YEARS now I have been in crypto. This too shall pass. Fuck all these frauds stealing everyone's shit. We will all be better off with them out of the industry. However, you all have to learn from this shit. CONTROL YOUR OWN KEYS! Stop gambling on shitcoins. You are being used as exit liquidity for idiots.
The reason cryptocurrency has changed the world, and will continue changing the world, is not because a fucking Shiba inu coin went 10,000%X because a narcissistic man-baby tweeted about it. It's because decentralized sound money has value. I've seen crypto build up from literally nothing. Even buying bitcoin was next to impossible back then. I mined BTC with my laptop at first. I stopped because I "only" mined 5 BTC per night, and it was using too much power. My first BTC I ever bought was when I met a fat dude wearing a Super Mario Brothers T-shirt at Home Depot. We met in the garden section and sat on a bench to talk about how bitcoin worked, how it was going to change the world, and how to transfer between wallets. I still have the wallet I setup and used to buy that BTC from him. Through all the craziness that has happened in the crypto space over the past 12 years, I have always been able to access my private wallets. Store your crypto in your own cold storage wallet unless you are actively trading. The moment you "lend" your coins out to someone for yields, it's already as good as gone. You've missed the entire point that Satoshi tried to get across so many years ago. Not your keys, not your coins. If you lost money in this shitshow, don't worry. This will all pass, and we will all be stronger for it. Just learn from it all and move on. Buy BTC and ETH, hold it in your cold storage wallets, and wait for the next bull cycle. Watch out for thieves and frauds trying to convince you into "the next big coin." They are all liars and thieves. Real cryptocurrency will endure. For it to really flourish, the shitcoin casinos must die. If you buy some new fucking Frodo Baggins faced shitcoin in the future and lose it all, you only have yourself to blame.
What a fucking asshole! Illegally stealing customer's deposits to gamble on shitcoins through his Alameda Research fund! He's the reason BTC was depressed this bull cycle. Sam is the reason I am still here watching fucking depressing crypto news instead of being completely out and having lower blood pressure... and he is a fucking customer of ours! What a weird fucking world this is.
Buddha

Buddha is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between April 23, 2021 and March 27, 2026. The archive places it in contexts such as "I also hallucinated a Buddha with a finger up each nostril"; "The Buddhist term “Buddha” means “awakened one”"; "visualize a Buddha with a crystal sphere in his belly". It most often appears alongside Buddhist, Against Automaticity, Arthur.

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Buddha
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3
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3
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April 23, 2021
Last seen
March 27, 2026
April 23, 2021 · Original source
After all, during that retreat, I also hallucinated a Buddha with a finger up each nostril, the most beautifully bewhiskered otter I had ever seen, and a pile of loose teeth.
August 31, 2023 · Original source
But dig deeper and this is part of every traditional description of the human condition. Plato spoke about the conflict between our rational, emotional, and appetitive souls, and that in some people the rational soul fails at its duty to run the show. The Buddhist term “Buddha” means “awakened one”, in contrast to everyone else who was not fully awake; the slightest experience with meditation is enough to demonstrate that “mindfulness” is interesting precisely because of how mindless our actions usually are.
These questions, taken seriously, will drive you insane. Plato and the Buddha are old enough to be safe, but this is prime cult recruitment material here. Tell people (as Gurdjieff did) that they are sheep-like automata drifting through life without conscious thought, and they’ll notice it’s basically true, freak out, and become easy prey for whatever grift you promise will right the situation.
Does that make us, as Banana warns, “infinitely vulnerable to our environment”? An enlightened Buddha would answer by denying the self/environment distinction. On this side of samsara, I would answer by denying the premise: just because we’re automata, doesn’t mean we have to be bad automata. No human roboticist would design a robot that lost half its horsepower whenever it heard a word relating to elderly people, and evolution didn’t design us that way either. Overall we’re pretty robust to a broad range of environmental perturbations. And one of the ways we’re robust is that when we notice red flags that people are trying to fool us, we switch out of our usual automaton mode and consider the situation carefully.
March 27, 2026 · Original source
The biggest difference is that many of the Buddhists report seeing an image of the monk Luang Pu Sodh in the sky. One commenter mentions that the crowd had just been meditating, and that a typical Dhammakaya meditation practice is to visualize a Buddha with a crystal sphere in his belly; if true, this would be relevant to them seeing a vision of a monk with a crystal sun in his belly. The “miracle” seems to be a combination of everyone seeing this at once, and the sun behaving in a way not predictable by the specifics of Dhammakaya meditation, but seemingly very predictable by the specifics of its behavior at Fatima almost a century earlier.
The Buddha-with-glowing-sphere-in-his-belly motif of the Dhammakaya movement, source here. This replication of Fatima in an “uncontaminated” context pushes me further towards believing that sun miracles are neither true divine intervention nor vague hypnotic suggestion, but some particular illusory/psychological phenomenon which necessarily manifests as the sun spinning and changing color, and which can occur independently even among people who aren’t primed to expect it. I continue to be vague on specifics, but think it might be somehow related to fire kasina meditation. This comes from a different Buddhist tradition than the one the Thais were doing; as far as I can tell, none of the Dhammakaya practitioners made the connection. But it seems like being in a meditative frame of mind helped. And it seems like the same pattern of fire kasina effects - including spinning lights, shifting colors swatches, and vivid hallucinations - applied here too.
Byzantines

Byzantines is a recurring concept in the Astral Codex Ten archive, appearing 3 times across 3 issues between August 06, 2021 and February 05, 2026. The archive places it in contexts such as "e Byzantines worried about Ottoman cannons"; "Byzantines and Persians were both exhausted from fighting each other"; "Byzantines might have taken it when they sacked Carthage". It most often appears alongside Carthage, OpenAI, Persians.

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Byzantines
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3
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3
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August 06, 2021
Last seen
February 05, 2026
August 06, 2021 · Original source
Maybe the real lesson here is that we should only worry about the most medium-term of risks? That way we can accuse the people worrying about nearer-term risks than we are of being like Byzantines worried about fireworks, and the people worrying about longer-term risks than we are of being like Byzantines worrying about nukes - whereas we ourselves are clearly most like Byzantines worried about Ottoman cannons.
January 10, 2024 · Original source
Early Islamic Arabs taking over the Middle East: Devereaux doesn’t mention this, except for a half-sentence with no content in the Ibn Khaldun section. How do you forget this one in a piece about the Fremen? Charitably, perhaps we should ignore this since the Byzantines and Persians were both exhausted from fighting each other.
February 05, 2026 · Original source
45: Where is the original menorah from the Second Temple? We know the Romans took it when they sacked Jerusalem. We think the Vandals took it when they sacked Rome, and brought it to their capital of Carthage. The Byzantines might have taken it when they sacked Carthage, and maybe brought it back to Jerusalem? After the Persians sacked Jerusalem in 614, the trail goes completely dark, although there are the usual legends that it was hidden away, to be returned in the age of the Messiah (or something). Other people say it never left Rome, and is still hidden somewhere in the Vatican.
B2B SAAS

B2B SAAS is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between January 02, 2026 and January 05, 2026. The archive places it in contexts such as "he spent the whole hinge of history making B2B SAAS products"; "not to start a B2B SAAS company". It most often appears alongside Dario Amodei, San Francisco, Silicon Valley.

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B2B SAAS
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2
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2
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January 02, 2026
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January 05, 2026
January 02, 2026 · Original source
You have only X years to escape being permanently boring when the weight of galactic humanity descends to scrutinize your life forever. Ten million years from now, do you want transhuman intelligences on a Niven Ring somewhere in Dario Amodei’s supercluster to briefly focus their deific gaze on your legacy and think “Yeah, he spent the whole hinge of history making B2B SAAS products because he was afraid of ‘joining the permanent underclass’, now he has a moon 20% bigger than the rest of us?” Or do you want them to think “She was one of the heroes who arose when the fate of humanity balanced on a knife’s edge, fought against the thousand forms of entropy that could have ended our paradise before it began, helped create a vision of broad-based prosperity that benefitted all humanity, and gets 0.000038501% of the credit for our current happy state. We grant her the rank of Forebear, and the Ancestor Veneration And Simulation Collective has built a megacathedral to her memory three star systems over”?
January 05, 2026 · Original source
5: Thanks to everyone who commented on the Permanent Moon Ownership post. I was trying to inspire people to think bigger than B2B SAAS employment in the New Year, but I think I got the tone wrong, and also said things that required more explanation than the literary form could offer. I might talk about them at more length, but here’s a brief summary of what I would have said in more declarative form:
Gradual disempowerment (by humans or AI), coups by AI company executives, and techno-oligarchy by a tiny number of people are serious concerns. But you won’t join the oligarch class by starting a B2B SAAS company, and these concerns are more about democracy, freedom, inequality, and the meaning of life than about you personally being poor. The proper response to these scenarios (as the original post tried to argue) is to fight heroically against them and live forever in the pantheon of the benefactors of humanity - not to start a B2B SAAS company.
Babylonian Captivity

Babylonian Captivity is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between November 17, 2023 and October 22, 2025. The archive places it in contexts such as "experience than usual with being a persecuted minority (eg during the Babylonian Captivity)"; "Daniel was writing during the Babylonian Captivity". It most often appears alongside Barack Obama, Israel, Jesus.

Mention count
2
Issue count
2
First seen
November 17, 2023
Last seen
October 22, 2025
November 17, 2023 · Original source
I just don’t feel like mobs murdering people was that fundamental to civilization. Sometimes mobs did murder people, and this was an important component of myth. I do think Jewish myths have the mobs in the wrong more often, probably because even when they were writing the Bible, Jews had more experience than usual with being a persecuted minority (eg during the Babylonian Captivity). But this doesn’t seem like enough material for a theory-of-everything that solves anthropology, mythography, and the Judeo-Christian religion.
October 22, 2025 · Original source
Winged Lion = OpenAI, founded by Sam Altman (Jewish). The winged lion would have been recognizable to Daniel’s audience as a symbol of the Babylonian Empire; Daniel was writing during the Babylonian Captivity, when there was no independent Israeli state and all Jews lived in Babylon.
Bacopa

Bacopa is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 05, 2022 and October 26, 2022. The archive places it in contexts such as "Bacopa and ashwagandha are Ayurvedic (Indian traditional medicine) herbs used for stress"; "Consider for example their bacopa rankings". It most often appears alongside Ashwagandha, Ayurvedic, Chicago.

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Bacopa
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2
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2
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October 05, 2022
Last seen
October 26, 2022
October 05, 2022 · Original source
Hard Mode: Bacopa and Ashwagandha
Bacopa and ashwagandha are Ayurvedic (Indian traditional medicine) herbs used for stress. I’m listing them as hard mode because turning it into a supplement usually involves extracting active chemicals (called withanolides) from the plant. If there were problems with herbal medicines, this would be where we would expect to find them. Labdoor has bacopa but not ashwagandha, and ConsumerLab has vice versa, so I’m combining them for this investigation.
Labdoor investigates three brands of bacopa, giving two Bs and one C. These grades are only lower than As because they find the brands have slightly more bacopa than promised on the label. As mentioned above, this shouldn’t be considered an error and a more reasonable version of LabDoor would probably have given As to all of these.
October 26, 2022 · Original source
Regarding the overages, I agree that it’s better to penalize something more for an underage than an overage, but I am still not sure this is good communication. Consider for example their bacopa rankings. Just looking at this, I would come away with the conclusion “no bacopa is entirely trustworthy, but at least ND and PE are better than Swanson”. But if I’m understanding right, the whole ranking is entirely driven by overages, and nobody (including the brand getting a C-) has any other problem. I suppose it’s fair to, if everything is exactly the same, rank based on a minor issue, but I think if I didn’t understand what was going on here I would be much more concerned about Swanson than justified.
Ban The Box

Ban The Box is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 24, 2024 and July 29, 2024. The archive places it in contexts such as "‘Ban The Box’ (the campaign to make it illegal to ask employees about their criminal records)"; "Moral Particle on why it’s easy to circumvent Ban The Box". It most often appears alongside Metaculus, 1906 SF earthquake, Abigail Shrier.

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Ban The Box
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2
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2
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July 24, 2024
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July 29, 2024
July 24, 2024 · Original source
26: It’s conventional wisdom in these parts that “Ban The Box” (the campaign to make it illegal to ask employees about their criminal records) backfired - unable to tell which minorities were vs. weren’t criminals, employers discriminated against all of them. But a new paper finds that’s not true and it had no effect.
July 29, 2024 · Original source
Moral Particle on why it’s easy to circumvent Ban The Box.
barberpole theory of fashion

barberpole theory of fashion is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 01, 2022 and January 16, 2026. The archive places it in contexts such as "secular changes in American culture to something like the barberpole theory of fashion"; "cf. barberpole theory of fashion". It most often appears alongside California, Elon Musk, New York Times.

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2
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2
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December 01, 2022
Last seen
January 16, 2026
December 01, 2022 · Original source
The Rise And Fall Of Culture Wars: I previously attributed secular changes in American culture to something like the barberpole theory of fashion: being right-wing was fashionable in the early 20th century. Then it became the symbol of a stodgy uncool establishment. By the 1960s, being a progressive hippie was fashionable. Today, being a progressive hippie seems like the symbol of a stodgy uncool establishment. And right on track, rebellious young people are becoming “alt-right”, a group with some suspicious similarities to the hippies (distrust authority, believe conspiracy theories, freak out over processed food, adopt paganism and weird spirituality, etc). So I was wondering if the right and left poles might just flip, over and over, in a long-term secular cycle. Brooks says that’s not what happened at all, and the 1950s-to-60s flip was a one-time event caused by a change in Ivy League admissions. If true, tragic news for today’s “Dimes Square” set.
January 16, 2026 · Original source
(maybe it’s unfair to attribute this to self-hatred per se. Adams wrote, not unfairly, that the scientismists in Kegan level 4 “are arrogant when it comes to dealing with people in levels two and three.” Maybe there’s the same desperate urge for level 5 to differentiate themselves from 4s - cf. barberpole theory of fashion).
basal ganglia

basal ganglia is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between March 26, 2021 and January 19, 2022. The archive places it in contexts such as "submit "evidence" to your basal ganglia, the brain structure that chooses actions"; "how do decision centers in the brain (eg basal ganglia) weight plans". It most often appears alongside AGI, AI boxing problem, AI Safety.

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basal ganglia
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2
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2
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March 26, 2021
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January 19, 2022
March 26, 2021 · Original source
These all submit "evidence" to your basal ganglia, the brain structure that chooses actions. Using the same evidence-processing structures that you would use to resolve ambiguous sense-data into a perception, or resolve conflicting evidence into a belief, it resolves its conflicting evidence about the highest-value thing to do, comes up with some hypothesized highest-value next task, and does it.
I've previously quoted Stephan Guyenet on the motivational system of lampreys (a simple fish used as a model organism). Guyenet describes various brain regions making "bids" to the basal ganglia, using dopamine as the "currency" - whichever brain region makes the highest bid gets to determine the lamprey's next action. "If there's a predator nearby", he writes "the flee-predator region will put in a very strong bid to the striatum".
The economic metaphor here is cute, but the predictive coding community uses a different one: they describe it as representing the "confidence" or "level of evidence" for a specific calculation. So an alternate way to think about lampreys is that the flee-predator region is saying "I have VERY VERY strong evidence that fleeing a predator would be the best thing to do right now." Other regions submit their own evidence for their preferred tasks, and the basal ganglia weighs the evidence using Bayes and flees the predator.
January 19, 2022 · Original source
I think I might have jumped in my chair or something when reading this part, because it’s a plausible solution to a question I’ve agonized over for a long time: how do people decide whether to follow their base impulses vs. their rationally-though-out values? Or to be more reductionist about it, how do decision centers in the brain (eg basal ganglia) weight plans generated by reinforcement learning vs. plans generated by complex predictive models of what will happen? Or to be less reductionist about it, what is willpower? When a heroin addict debates whether to spend his last dollar on more heroin vs. food for his infant child, what is his brain doing? Clearly some kind of reward-based conditioning has a voice here, since sometimes he chooses the heroin, whose only advantage is being very good at producing (apparent) neural reward. But equally clearly, something that isn’t just reward-based conditioning is going on here, since sometimes he chooses the child. So how does he decide?
Bauhaus

Bauhaus is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 04, 2024 and December 05, 2024. The archive places it in contexts such as "From Bauhaus To Our House , a hostile history of modern architecture"; "a new heraldic device for the Bauhaus compound"; "Bauhaus worker housing in Stuttgart, 1927". It most often appears alongside Beaux-Arts, From Bauhaus To Our House, International Style.

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Bauhaus
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2
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2
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December 04, 2024
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December 05, 2024
December 04, 2024 · Original source
Unlike most people, he was a journalist skilled at deep dives into difficult subjects. The result is From Bauhaus To Our House, a hostile history of modern architecture which addresses the question of: what happened? If everyone hates this stuff, how did it win?
Preeminent among these was Bauhaus, founded by Walter Gropius in Germany in 1919. Their big idea was “starting from zero” - since all previous art had been contaminated by capitalism, we needed a hard reset where people started by (eg) contemplating what color and shape really were, then gradually building a new socialist art from the ground up. This new art must eschew ornamentation, associated as it was with kings and nobles who had money to spare on gold trim or sculpted curlicues. Real socialist art would be brutally functional, the sort of thing a poor worker might build. If this sounds harsh, remember that this was right after World War I, the old order stood infinitely discredited, and starting from zero must have seemed pretty appealing.
Maybe too appealing: the Bauhaus wasted no time in becoming a caricature of itself. Someone got into their head that pointed roofs “represented the crowns of the old nobility”; henceforward, all their buildings had flat tops (even though this was unsuited for the snowy German climate). Facades were fake, just like the fakeness of bourgeois propaganda; therefore true socialist buildings would show their innards as much as possible, with jutting pipes and undecorated structural supports.
December 05, 2024 · Original source
Recently we’ve gotten into discussions about artistic taste (see comments on AI Art Turing Test and From Bauhaus To Our House).
Baumol effect

Baumol effect is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 04, 2021 and December 31, 2025. The archive places it in contexts such as "Remember, the Baumol effect happens when new technology makes some industries more productive"; "the Baumol effect been basically constant since at least the Industrial Revolution". It most often appears alongside China, Germany, UK.

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Baumol effect
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2
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2
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October 04, 2021
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December 31, 2025
October 04, 2021 · Original source
Remember, the Baumol effect happens when new technology makes some industries more productive. Since the high-tech industries are so lucrative, wages go up. Then low-tech industries have to raise their wages so that their workers don’t all desert them for the high-tech industries. But since low-tech industries aren’t improving their productivity, they just because more expensive, full stop.
I’m harping on furniture because it avoids a lot of the complicating factors in architecture. There isn’t some vague collection of “elites” making our furniture decisions. It’s a pretty free market! There are lots of normal middle-class people spending big chunks of money on furniture, lots of them really really like the old stuff, and the old stuff is still either unavailable or unaffordable. It seems like it used to be affordable - it wasn’t just kings and dukes who had the old Art Nouveau stuff - but for some reason that’s changed. I think Baumol effects offer a tidy explanation here, and if we use them to explain furniture, then they start looking really attractive for architecture.
December 31, 2025 · Original source
Obviously nothing real changes the exact second a new president is inaugurated, so people must be using questions about the economy to express their overall happiness about the state of the world. Alex asks whether increasing political polarization could make this worse. Both parties’ extreme factions share a tendency to treat the country as controlled by a hegemonic conspiracy of their enemies - the woke coastal elite Soros cosmopolitan establishment, or the neoliberal fat cat Koch Brothers tech oligarch blob. Does this mean everyone is getting some multiple of the “other party’s president is in power” effect all the time? 3: Discourse Downstream Of The Mike Green $140K Poverty Line Post … Shovacklerod writes: Scott have you read Mike Green’s viral post on this? His main argument is that the poverty line is miscalculated, but in context of declining middle class sentiments— The more interesting thesis is that there exists a “valley of death” where two parents in the workforce need a combined ~$140k salary otherwise the cumulative “participation costs” of a fast modern society (for example a phone plan or child care) make year-over-year capital accumulation near impossible. I haven’t, but other commenters suggest reading responses, including Noah Smith’s The $140,000 Poverty Line Is Very Silly, Jeremy Horpedahl’s The Poverty Line Is Not $140,000, and Tyler Cowen’s The Myth Of The $140,000 Poverty Line. Most of these focus on Green’s explicit errors - for example, he gets most of his cost-of-living numbers from Essex, NJ, an especially rich county, then compares them to average earnings. Correct half a dozen things like this, and the real poverty line is probably somewhere between $35K - $60K. The percent of Americans below this line continues to decline every year, as it has for decades. Green finally pseudo-apologized, lambasting the “mockery machine” of the “cognitive elite” but admitting that his post “was never intended to go viral and was written for my existing audience that tends to be pretty understanding that I don’t do this for a living, but rather as PART of my living” Still, many people took Green’s article as a starting point to contribute to the Vibecession discourse, so let’s go over the ones that touch on our topic in more detail. Lincicome titles his response The $140,000 Poverty Line Is Wrong, So Why Does It Feel Right?, and blames Baumol’s cost disease: As the Financial Times’ John-Burns Murdoch just detailed, Americans’ overall cost of living has improved over time, but certain highly visible and socially desirable services have become more expensive. That’s not a conspiracy against the middle class but instead just Baumol at work: “[A]s countries develop economically, the same productivity growth that drives down the cost of tradeable goods causes the cost of in-person services to balloon. Wages in sectors like healthcare and education that require intensive face-to-face labour, and have slow (if any) productivity growth, are forced upwards in order to attract workers who would otherwise opt for high-paying work in more productive sectors. The result is that even if people keep consuming the exact same basket of goods and services, as living standards in their country increase they will find more and more of their spending is going on essential services.” Sectors where productivity grows slowly and prices outpace inflation—health care, education, child care, personal services, housing (construction), etc.—happen to be the same ones that middle-class families notice most and that signal social status. As we’ve all gotten richer, moreover, these services have transitioned from luxuries to expectations. Throw in the hedonic treadmill and the fact that you can’t price-shop schools or hospitals the way you can TVs, and public alarm is all but inevitable. I’m suspicious of including “housing (construction)” on this list - couldn’t you use the same argument to reclassify any manufactured good as a service good? - but the rest of these are well-taken. Still, did Baumol or the other economists who first discussed the effect in the 1960s predict it would make people feel like things were outright worse, as opposed to just getting better less than would be expected from raw productivity numbers? Seems strange. Also, hasn’t the Baumol effect been basically constant since at least the Industrial Revolution? And isn’t the Vibecession only 5 - 20 years old? Matt Bruenig has his own response to Green, Why Do People Feel Like They’re Falling Behind? He bases his argument around this graph: …which is just making the common-sense point that, as society shifts from one-income to two-income families, the husband’s share of family income drops from ~100% to ~50%. So, Bruenig argues, if everyone is trying to keep up with the Joneses, and the Joneses are a dual-earner family, then this single working man has gone from making 100% of his comparison point, to making only 50%. This is a cool potential cognitive bias, but is anyone really making this mistake? Vibecession complaints hardly seem limited to men in traditional one-earner households wondering why they’re not making as much as the neighbors whose wife is a fancy lawyer. My impression is that they include both two-earner families who still feel like they’re falling behind, and (most of all) young singles who are comparing themselves to their young single friends where this issue never comes up in the first place. Matt Yglesias uses a similar strategy in You Can Afford A Tradlife. This is what they took from you. They never should have passed the ‘Make It Illegal To Wear Hair Gel And Marry A White Woman Act' back in 1959! He argues that the reason most wives work these days isn’t because we’re poorer (and they have to work to survive), but because we’re richer (and so wives can make so much money working outside the home that the opportunity cost is too high to pass up). A single earner could still support a family on a 1950s lifestyle. It would just feel like a failure, because we don’t realize how much worse than 1950s lifestyle was compared to our current conditions. The article’s paywalled, but you can get a pretty good sense of the argument from these paragraphs. After determining that the median man makes about $80,000/year, he writes: Let’s say our $80,000-a-year man is living in the Jacksonville area. The Department of Housing and Urban Development calculates what are called Fair Market Rents for each American metro — this means the 40th percentile rent for a home with any given set of characteristics. They say F.M.R. for a three-bedroom home in the Jacksonville area is $2,163. That comes out to about 30 percent of Mr. Median’s annual income. Can you really get a place to live for that little? Here’s a lovely three-bedroom home in the East Arlington neighborhood for $2,020 a month, and it’s zoned for an elementary school with a 10-out-of-10 ranking from GreatSchools. It’s true that 1,617 square feet is on the small side for, say, a family of five in the contemporary United States. But the average size of a new single family home was 1,289 square feet in 1960 and 1,500 square feet in 1970. Two of your kids are going to need to share a bedroom, but that’s how people lived back in the day. There’s more to life than housing, of course, but I started there because that’s the largest item in a household budget. Durable goods like furniture, cars, and appliances have all become better and more affordable since the mid-1960s. That’s partially offset by rising prices for things like college tuition, child care, and health care. But in the 1960s, most young people didn’t go to college. The way health insurance works, you only need one worker in your family to get a job-based health plan. And of course, with your wife serving as a full-time homemaker, you don’t need to worry about child care expenses. The big thing is that, with a larger family, you literally have a bunch of mouths to feed. But the model here is to replicate how people actually lived in the mid-1960s, which is that they dined out much less frequently and also spent a much larger share of their total income on food. When I try to retrace this, it seems possible, but barely. I imagined doing this in Sacramento, to be near family. Suppose I make $80K pretax = $6.6K/month pretax = $5K per month posttax. A cheap 3-bedroom house on a nice-enough block is $2200 mortgage, assume $3K after property taxes etc. A cheap new car is $350/month. Food can be arbitrarily low if you’re willing to eat rice all the time, but let’s say $250/month. CoveredCalifornia offered my family of four healthcare for $600/month. So top four expenses take $4200/month of the $5000/month pretax income. I don’t know; seems tough. I would like to see a more thorough breakdown of an average 2026 vs. 1956 man’s likely budget. There are also some areas where it’s harder to separate genuine declines from rising expectations. Most people in the 1950s didn’t have health insurance. Was that because they accepted lower levels of health, or because medical care was cheaper, and easy enough to afford out-of-pocket? Probably some very complicated combination of both. And it might be impossible to get certain kinds of 1950s medical care today, i.e. a bed in a cheap low-quality shared hospital room. (some of the best discussion around this came from the response to Elizabeth Warren’s The Two-Income Trap, see eg Matt Bruenig here) Still, I find this tangential to the main point. Yes, a few conservatives complain that it’s hard to have a single-income family. But most vibecession complaints come from singles or dual-earner households! 4: What About Other Countries? … Dionysus writes: Did you know that China also has a vibecession? If even China can’t regulate social media heavily enough to prevent this phenomenon, how can any liberal society possibly hope to? The link goes to an NYT article, which includes quotes like: Using apps like RedNote and Douyin, people are reviving memories of the 2000s and the early 2010s with photos of daring outfits, upbeat songs and vintage TV commercials, all of which, in different ways, evoke a time in China that pulsed with optimism. “The music back then throbbed with exuberance, brimming with the sense that the future could only get brighter,” a middle-aged man said in a RedNote video. “Today’s lyrics begin with lines like, ‘We’re trying our best to survive.’” And The boom-time beauty meme is the latest expression of a Gen Z counterculture born of disillusionment, the recognition that they may be the first generation in half a century unlikely to surpass their parents’ standard of living, no matter how hard they try. Over the past five years, this quiet resistance has taken many forms. It began with “lying flat,” a refusal to join the rat race. Some chose to pursue the “run philosophy,” or emigrating in search of freedom and brighter prospects. Others declared themselves the “last generation,” vowing not to have children. Still others embraced “let it rot,” giving up on difficult goals rather than battling for uncertain rewards. To show they could care less about career prospects, many took to wearing “gross outfits” at work. This is especially crazy in China, where GDP per capita is now ten times what it was back during the “Boom Years” that everyone reminisces about. This might be the smoking gun that people’s economic beliefs are totally unmoored from how rich they are. The Chinese story has an obvious moral: people care about growth rate more than level. But even this doesn’t work for America - our Vibecession doesn’t correspond to a period of unusually low growth. machine_spirit writes: It’s interesting to compare it to Europe as the control group. Unlike the US, whose economy muddled through just fine during the last decade, we are currently experiencing a massive economic decline that could soon turn into a full-blown collapse. And yet, outside of debates about immigration or foreign policy especially regarding Ukraine you don’t really hear the same level of rancour about ‘things being bad’ in the local media. I’m surprised to hear this. I hear many economic complaints from Europeans, but I suppose this passes through my own American filter bubble which is incentivized to talk about economic hardship for its own American reasons. Golden Feather writes: I am an Italian currently living in the US. My main guesses would be: Right-wing parties control a supermajority of TV and print media. They have also been in the govt most of the time, which means they control the state TV and have an interest in presenting things as rosey. The much older population makes the internet less relevant for public sentiment. Even in the few years where they were at the opposition, they mostly focused on immigration and crime to rile up popular sentiment, I guess because the population is older, their voters even moreso, so they care more about that than about the economy
Baumol's Cost Disease

Baumol's Cost Disease is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 04, 2021 and December 11, 2021. The archive places it in contexts such as "Baumol's Cost Disease and concepts of comparative advantage are critical in here"; "because Baumol's cost disease means less easy access to the heavy manual labor"; "William Baumol of Baumol's cost disease". It most often appears alongside Germany, United States, /r/georgism.

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2
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2
First seen
October 04, 2021
Last seen
December 11, 2021
October 04, 2021 · Original source
Baumol's Cost Disease and concepts of comparative advantage are critical in here. And you can tell, because actually we _are_ still building, or re-building, a few of these -- there was active renovation on Notre Dame (which went horribly wrong with an accidental fire), and Sagrada Familia is actively under construction. But the cost to employ skilled masons to produce that kind of ornamental stonework has gone up _drastically_ relative to the baseline of what laborers broadly earn. It used to be that if you were a lower class person with the aptitude for engineering, "mason" was probably your best career choice. And you could still choose that! But you also could be any of a dozen other flavors of engineer, and many of those choices would carry considerably less risk of bodily harm, plus many of them have the "bits versus atoms" leverage, such that your work can ultimately produce much more marginal revenue per hour of labor. The fact that the kind of person who might decide to become a mason has that kind of life choice available feeds back into what it costs to hire a mason.
The ugliest buildings to me nowadays are probably McMansions. They try to imitate traditional 19th century or earlier building styles, but fail heavily, partially because Baumol's cost disease means less easy access to the heavy manual labor those styles required.
December 11, 2021 · Original source
He was even a co-signer of this famous open letter to Gorbachev in 1990 urging the Soviet premier to establish a Land Value Tax to provide a stable basis for the new economy as Russia struggled to rise from the collapse of communism. Other co-signers included four Nobel Laureates: Franco Modigliani, Robert Solow, James Tobin, and William Vickrey, not to mention William Baumol of Baumol's cost disease. Unfortunately, the Russian authorities went with Harvard Professor Jeffrey Sachs' "shock therapy" instead, and the rest is history, as anyone who lived through the post-Soviet chaos can tell you.
BDSM

BDSM is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between August 08, 2024 and September 03, 2024. The archive places it in contexts such as "Consensual BDSM relationship confirmed by both parties"; "fourteen different BDSM sex clubs". It most often appears alongside Hitler, 10240, 1980s.

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BDSM
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2
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2
First seen
August 08, 2024
Last seen
September 03, 2024
August 08, 2024 · Original source
Consensual BDSM relationship confirmed by both parties
September 03, 2024 · Original source
“Maybe not at Thiel Capital. But go outside, and you’ll find that people are, in fact, having sex all the time. Tindr. Hinge. Grindr. Young people are going out and having casual sex every weekend. There are fourteen different BDSM sex clubs in San Francisco alone. If you look at the modal society throughout history, they’re forbidding their women from leaving the house, or holding them to such high modesty standards that showing a bare ankle would be a scandal. They’re locking people up for owning porn, or killing them for being gay, or calling them rakes or sluts for having sex outside of marriage. Meanwhile, in our society women go everywhere in skimpy skin-tight clothing, you can f@&k a different partner every week, you can be polyamorous or transgender. I read conservative writers saying that no society like ours can survive over the long term. But I’ve thought about it longer than they have, and I think no society like ours could ever come to exist at all. That’s because it’s not a real society. It’s somebody’s weird fetish free-use-adjacent fantasy.”
Beaux-Arts

Beaux-Arts is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 04, 2024 and December 05, 2024. The archive places it in contexts such as "An example of Beaux-Arts, the older style that had become “heresy” by the third year of Bauhaus leadership"; "No more tedious Renaissance renderings in the old Beaux-Arts manner"; "our Beaux-Arts building again". It most often appears alongside Bauhaus, From Bauhaus To Our House, International Style.

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Beaux-Arts
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2
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2
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December 04, 2024
Last seen
December 05, 2024
December 04, 2024 · Original source
The teaching of architecture was transformed overnight. Everyone started from zero…all architecture became nonbourgeois architecture, although the concept itself was left discreetly unexpressed, as it were. The old Beaux-Arts traditions became heresy, and so did the legacy of Frank Lloyd Wright, which had only barely made its way into the architecture schools in the first place. Within three years, every so-called major American contribution to contemporary architecture . . . had dropped down into the footnotes.
An example of Beaux-Arts, the older style that had become “heresy” by the third year of Bauhaus leadership Studio of Frank Lloyd Wright, another “heresy” victim. I found this part of the book sudden and jarring. Okay, Americans have always had an unhealthy fascination with European culture - but, really? Everyone abandoned all previous forms of architecture within a three year period just because some cool Europeans showed up? I was left to hunt down hints to the broader story. Some of these come from elsewhere in the book, and some are my own speculation.
Faculty members resisted the compound passion at their peril. Students were becoming unruly. They were drawing up petitions - manifestos in embryo. No more laying down laborious washes in China ink in the old Beaux-Arts manner! No more tedious Renaissance renderings! … and the faculties caved in … With the somewhat grisly euphoria of Savonarola burning the wigs and fancy dresses of the Florentine fleshpots, deans of architecture went about instructing the janitors to throw out all plaster casts of classical details, pedagogical props that had been accumulated over a half century or more.
December 05, 2024 · Original source
Taste seems to constantly change. In 1930, all the sophisticated people said that Beaux-Arts architecture was very tasteful. In 1950, they’d laugh at you if you built Beaux-Arts; everyone with good taste was into International Style. This is very suspicious! Human universals don’t change that fast! Rules about what is vs. isn’t “jarring” don’t change that fast! Only fashion changes that fast!
benzos

benzos is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between March 16, 2022 and May 18, 2022. The archive places it in contexts such as "less effect from benzos during this time"; "saves you from a course of ... benzos". It most often appears alongside 5α-reductase inhibitor, A Mindful Monkey, ADHD.

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benzos
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2
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2
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March 16, 2022
Last seen
May 18, 2022
March 16, 2022 · Original source
Also, (also Stahl's), there are two GABA-A receptors with comprosied of different sub-units as you mentioned. Benzodiazepines bind to, cleverly named, benzodiazepine-sensitive GABA-A receptors while allopregnalone bind to their cousins- the benzodiazepine-insensitive GABA-A receptor. The former is found post-synaptically and involved with phasic, quick bursts of GABA (i.e. useful information processing) while the latter is found extrasynaptically and involved with tonic (i.e. chronic) 'tone' setting of the neuron. So they seem to have very different functions despite both involving GABA.
I'm gonna go with urban legend for this one. The early benzos look to me to be chemically named; "azepine" is the word for a 7-membered ring made up of 6 carbon atoms and 1 nitrogen, then "diazepine" is the same but with two nitrogens. The first benzo was chlordiazepoxide (Librium), which if you look at the chemical structure on wikipedia, contains chlorine, diazepine and oxide (the oxygen atom). Then next is diazepam, which to me looks like "diazepine" plus "amide" (which is the word for "double-bonded oxygen atom with a nitrogen next door"). 10 years later we get alprazolam, which looks like it was named after the triazole ring (that's the 5-membered ring with 3 nitrogens), but now the "am" suffix is starting to become generic, to emphasise that its still in the same chemical class as the previous -azepams.
Key point missing in this post is that ALLO/zulresso mediates tonic GABA inhibitory tone (as opposed to phasic for benzos). I wouldn't touch an exogenous analog of ALLO w/ a ten foot pole. Context on severe issues w/ tolerance and withdrawal: Tolerance to allopregnanolone with focus on the GABA-A receptor.
May 18, 2022 · Original source
Benzodiazepines, which work great, but are really addictive.
Now people are saying that silexan works even better than benzodiazepines, doesn’t cause addiction, and has no major side effects! If true, this would change the world. SSRIs changed the world, and they’re nowhere near as impressive as silexan claims to be.
Reports conflict on whether it works immediately, or “builds up” over a few weeks. Many of the anecdotal reports say they feel better within the first hour, and the aromatherapy studies are also done on the assumption that the substance works immediately. But Aiken says only that patients start to feel improved after a week, and some of the studies don’t show separation from placebo until after a month. I have no priors on this one: benzodiazepines work immediately, SSRIs take a month, and silexan has been compared to both. I’d recommend trying it for a few weeks just to be sure you’re not missing anything.
Bible

Bible is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between August 16, 2024 and July 21, 2025. The archive places it in contexts such as "stories from the Bible"; "status in their peer group based entirely on how closely everyone follows your sect’s interpretation of the Bible?". It most often appears alongside Kyle, 20th Century Fox, AAPI Protection League.

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Bible
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2
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2
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August 16, 2024
Last seen
July 21, 2025
August 16, 2024 · Original source
Given Marvel Comics, why Silver Age (1961-1965)? I.a. Why Superhero Comic Books? The winner of last year’s Astral Codex Ten book review contest was Brandon Hendrickson. Brandon wrote about Kieran Egan’s The Educated Mind. One of the foundations of Egan’s educational philosophy is that people learn through stories. He believes early education should focus on teaching lessons through myths and legends. This matches my experience. My kids’ favorite podcast is Greeking Out – a very well produced, very entertaining, National Geographic podcast about Greek Legends. Aside #1: When my oldest daughter was three years old she would ask everyone she met “Do you know any myths? Can you tell me a myth?” She especially liked asking people from different places to get myths from their local cultures. Once, she asked the question to a friend of mine who grew up in South Africa, “Can you tell me any South African myths?” He struggled for a minute and then said, “Okay! I have one! Bread never falls butter side down!”. That was not the type of myth she was looking for; nor the type of myth we will be discussing in this review. Every culture has foundational myths. These stories are entertaining and engaging, but they also teach valuable lessons about both what is important in that culture, and how people in that culture are expected to behave (or at least the Platonic Ideal of how they should behave). In the modern, Western world, we have assimilated many of these foundational stories, particularly the Greek myths. My kids definitely know the Greek myths, but they also know elements of Norse mythology, Egyptian myths, stories about Anasi from West Africa and more. More fundamentally my wife and I, while not religious ourselves, have made a point of exposing the kids to the stories from the Bible. It is not politically correct to call Biblical stories “myths”, but they serve the same purpose – shared cultural understanding of the way the world works. My wife grew up without any religion, and when she was in high school, she struggled with the metaphors and religious allegories that were omnipresent in most of the Western canon. In our culture, familiarity with the Bible is important for an educated person – whether they are religious or not – because it is the foundation of so much of the rest of our culture. I believe the other set of mythological stories that are foundational to our culture are – and by this point I am sure you see where I am going here – comic book superheroes. If true, then having more than a surface-level understanding of the most important superhero stories is important in a similar way to that knowing the Bible stories is important. “Do unto others as you would have them do unto you” is an important idea to understand. So is, “With great power comes great responsibility”. I.b. Why Marvel? While there are many independent superheroes that are not owned by major conglomerates, the superheroes who have built our modern foundational myths are currently owned by two corporations. Warner Bros. Discover owns the DC library of superheroes including Superman, Batman and Wonder Woman. In 2009 Disney purchased Marvel Comics and took ownership of their characters, including Spiderman, X-men and the Avengers. Aside #2: Marvel has sold temporary film rights to many of their characters over the years. The most relevant sales started in 1994 when Marvel sold the film rights of X-men and mutants to 20th century Fox, then in 1996, when Marvel went bankrupt, Fox picked up the rights to the Fantastic Four (and New Line picked up Blade). In 1999 Marvel sold the film rights (and live action TV, and animated TV longer than 44 minutes) of Spider-man and related characters to Columbia Pictures (part of Sony) for $7MM. Marvel actually attempted to sell ALL of their remaining Marvel IP film rights to Sony for $25MM, but the top management at Sony was not interested. Sony’s management allegedly told their chief negotiator “Nobody gives a shi*t about any of the other Marvel characters. Go back and do a deal for only Spider-Man). Disney acquired Marvel in 2009, and then Fox in 2019, bringing the two separated packages of characters all back together under one roof (Blade reverted back to Marvel in 2012). Sony still owns the rights to Spider-man but has made a deal with Disney to include some of his films within the Marvel-Disney universe. Marvel sold the film rights of The Hulk to Universal in 1990 and the current status of that agreement is complicated (the consensus is that Marvel now controls the film rights to the character, but Universal owns distribution rights to any stand-alone Hulk film, which could be why Disney let's Hulk co-star in Thor movies, but not vice versa). In the early aughts Marvel wanted to build their own film franchise, but were limited to only using their remaining “B-list” characters – Spider-man, X-men, and the Fantastic Four were all off limits. Fortunately, Kevin Feige, president of production for Marvel at the time, saw a way forward. He convinced Ike Perlmutter, Marvel CEO, to allow for the production of a series of films with the remaining characters begining with Iron Man (2008). Jon Favreau directed and cast Robert Downey Jr as Tony Stark. The film blew away expectations. Kevin’s plan of a series of movies where the characters would interconnect was suddenly feasible. Iron Man was followed by The Incredible Hulk, Thor, and Captain America: The First Avenger. None managed the box office magic of Iron Man, but all were successful enough that the plan stayed on track. In 2012 the characters were all brought together in the first Avengers film, which opened to over $200MM domestically and went on to gross more than $1.5B (which made it the 3rd highest grossing film of all time). Marvel became the first studio to take the interconnected world of their comic books and make the model work on the big screen (for a much larger audience). Once the model was proven to work, other studios tried to duplicate it. Aside #3: Warner Bros’ stumbles with the DC shared universe of Batman, Superman and the Justice League are well known, but that was actually their SECOND attempt at a shared universe. Their first attempt tried to copy the Marvel method more closely. They chose their own B-list hero and set up his first film to allow for a wider mythology. Alas Green Lantern (2011) failed at the box office and we never got stand-alone films about Sinestro (Yellow Lantern), Carol Ferris (Star Sapphire, the Violet Lantern), John Stewart (African American Green Lantern), Kyle Rayner (1990s Green Lantern), Alan Scott (original Green Lantern), or the Blue, Red, and Orange Lantern Corps. At least so far, no studio has successfully created anything with close to the traction obtained by the Marvel Cinematic Universe (MCU). Warner’s DC Extended universe (DCEU) had trifling success, but is being shelved and rebooted for a fresh attempt next year. Universal’s attempt at a “Dark Universe” kicked off with Tom Cruise in The Mummy (2017), but was dead on arrival. Paramount’s attempt to link the Transformers Universe to GI Joe at the end of Transformers: Rise of the Beasts has been appropriately mocked. Sony’s Spider-man films linked to the MCU have been very successful, but their attempt at a stand-alone non-MCU Spider-man universe using Spider-man’s villains as anti-heroes has floundered (mostly succeeding only as a source of memes). Next Mattel will be attempting to build a universe off the success of last year’s Barbie and may include Polly Pocket, American Girl, Hot Wheels, and He-Man and the Masters of the Universe (no word yet on Thomas the Tank Engine, View Master and the Magic-8 Ball, but all are apparently in development). To date, only Marvel has successfully built a “Cinematic Universe”. One potential reason for the MCU’s success is that Kevin Feige built his cinematic universe on the back of the existing interconnected universe of the comics. But those comics were not the first interconnected universe of stories. For that we would need to go back to our foundational myths. The Bible stories mostly interconnect. Adam and Eve flows into Cain and Abel. David and Goliath leads to the Wisdom of Solomon. Greek Myths DEFINITELY interconnect. Supporting characters in one Greek myth have starring roles in their own stories. The Greek pantheon of tales even have their own version of the Avengers. In the Quest for the Golden Fleece, Jason brings together the Argonauts, who included in their number Theseus (who defeated the Minotaur), Orpheus (who braved the underworld) and Hercules himself – all A-list stars in their own “franchises”. Stand alone stories that exist within an interconnected universe are rare in modern media but were common in the ancient myths that have stood the test of time. Only Marvel has successfully created a shared universe that follows the pattern of ancient myths. Only Marvel films have stand-alone stories and protagonists who exist together in an interconnected world. Something about that method of storytelling is deeply pleasing for humans across many cultures. Marvel films are the first and most successful modern version of the mythological universe, and that it is worth spending more time exploring Marvel’s underlying mythology and where it came from. I.c. Why 1961? The origins of Christianity and Judaism (and Buddhism and Hinduism) are very murky. Even Islam is far enough in the past that we only have a very rough understanding of how it came to exist. When scholars want to understand in detail how a new religion is born they are far better to look at Mormonism or, if you accept it as a religion, Dianetics. Similarly, we have versions of Greek myths that have been passed down to us, but we can never know how those myths changed from their first telling to their “final” versions. Were the stories once unrelated, and only later became crafted into a single “universe”? Or were the stories built off each other one by one (“Dad that Golden Fleece story was amazing! Do you know any other stories about the Hercules guy?”)? Or was it something in between? Perhaps the stories all existed independently, but were later crafted together (“Remember that 12-labors story I told you? Actually that was the same guy who was on the Argo!”) Unlike Greek legends, we can know the origin of the Marvel Universe. We can see how it was constructed step-by-step. The people who did it (most importantly Stan Lee, Jack Kirby, and Steve Ditko) are dead now, but they have not been dead for long. We can read the original work, see how it changed over the last 60 years, and we can ask the creators “what were you thinking at the time” (or at least read their answers from old interviews). We can’t always trust what Stan Lee says, but at least we can hear his point of view. No one has a transcript of an interview with Homer, or knows exactly what he was thinking when he called it the “wine-dark sea”. Tl;dr: Why read about Marvel Comic superheroes 1961-1965? Because interconnected mythological stories are very important to cultures, Marvel is the leading contender of the most recent modern mythology, and it originated in the first half-decade of the 1960s. II. How did Marvel Superhero Comics happen? Timely Comics published their first comic book in 1939 and called it “Marvel Comics”. Their most popular World War II comics included Captain America, the Human Torch (an android unrelated to the modern Human Torch except in powers, appearance and name), and Namor, the Submariner. In the early 1950s superheroes became less popular, so Timely changed its name to Atlas Comics and focused on humor, western, horror, war and science fiction stories. But in 1956 DC Comics began re-introducing their Golden Age superheroes and, in the second half of the 1950s, the genre took off again – particularly Superman, whose title, Action Comics, became the number one selling comic in America. Stan Lee, editor and chief at Atlas at the time, wanted to get in on the superhero action. Unfortunately in 1957 Atlas lost its distributor and the company had to rely on “Independent News” to get its comics on newsstands. The complication was that Independent News was owned by “National Periodical Publications”, who also owned DC-comics and did not want Atlas to introduce superheroes to compete with Superman, Green Lantern and the Flash. Independent News agreed to distribute Atlas comics but limited the publisher to eight titles per month, and only in non-super hero genres (like horror, romance and science fiction). Blocked from creating and launching new superhero titles, Stan Lee got creative, and in August 1961 Atlas Comics published Fantastic Four #1. Aside #4: Fantastic Four #1 was on newsstands in August 8th, 1961, but the date on the cover was November 1961. The convention at the time was that the cover date was not the “publication date” but rather the “pull date”. The pull date was the time when the retailer could send back unsold copies back to the publisher for a refund. In fact the retailer did not need to send the entire issue back, just the cover, as it was assumed that comic books could not be sold without the cover, and it saved on postage. This was only relevant because it was great for my dad who was a child at the time. My dad was friends with the kid whose father owed the local pharmacy which meant he had access to every comic book published in the late 1950s as long as he was willing to wait a few months and read it without a cover. Going forward in this essay I will always use the pull dates rather than the publication dates for individual comic book issues as they are far easier to source. If you want to convert pull dates back into publication dates you can subtract roughly two months, but it is inconsistent and sometimes longer, as was the case with Fantastic Four #1. Check out the cover of Fantastic Four #1: To the modern eye this certainly looks like a superhero comic. Four heroes with super powers fighting a giant monster. But in the eyes of publishers in 1961 this looked more like a science fiction adventure comic than something that would go head to head with Superman. Here are the covers of Action Comics (the best selling superhero comic at the time) from the three months leading up to Fantastic Four #1: Notice what they have in common? “Super Rivals”, “Super revenge”, “Super Substitutes”. And all include Superman in his blue and red tights. Fantastic Four’s cover featured super powers, but never used the word “super” and no one was wearing superhero costumes. Fantastic Four, as a superhero story, slipped under the radar because it wasn’t really a superhero story at all. It was a story about four close friends who attempted to fly into space, but then something goes wrong and they crash back to Earth. The experience changes them and they decide they now need to use their new abilities to help the rest of humanity – specifically against monsters who are invading from under the Earth. It is a fantastical science fiction story – not a superhero story. Later in his career Jack Kirby, the illustrator of the issue and co-creator of the Fantastic Four, was asked about his inspiration for the Fantastic Four heroes. He did NOT say Superman – or any superhero. He said Challengers of the Unknown. Challengers of the Unknown was an adventure story co-created by Kirby in Showcase #6 in February 1957. Here is how Wikipedia describes the Challengers origin: When acquaintances miraculously survive a plane crash unscathed, they conclude that since they are "living on borrowed time" they should band together for hazardous adventures. The four—pilot Kyle "Ace" Morgan, daredevil Matthew "Red" Ryan, strong and slow-witted Leslie "Rocky" Davis, and scientist Walter Mark "Prof" Haley—became the Challengers of the Unknown. Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
July 21, 2025 · Original source
“When parents say they want their kids to go to a ‘good school’, they’re not after skilled teachers. They want their kid to be surrounded by successful well-behaving peers, in the hopes that it’ll rub off on them and they’ll succeed and behave well themselves. But this creates a conflict. Parents of problem kids try to get them into the good schools to solve their problems. But the good school parents try to block them, because they don’t want problematic peers to bring their own kids down. We bulldoze through this whole paradox. As far as your kid knows, we’re just another remote learning charter school. But really, all your kids’ peers are AI-generated deepfakes designed to your specifications. Want all your son’s friends to be goody-goodies who love homework? Want your daughter surrounded by people who never use Instagram and assign status in their peer group based entirely on how closely everyone follows your sect’s interpretation of the Bible? We can do it!”
Biden administration

Biden administration is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 19, 2021 and February 29, 2024. The archive places it in contexts such as "see how much I end up with at the end of the first Biden administration"; "up until the Biden administration". It most often appears alongside Democrats, Iran, Israel.

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April 19, 2021
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February 29, 2024
April 19, 2021 · Original source
Overall I approximately quadrupled my original $220 investment into about $900. I plan to take out all the money I won except about $1000 and see how much I end up with at the end of the first Biden administration.
I currently intend to blog about current-events-style politics less than before but still a non-zero amount, as an average of those considerations. You might have already noticed this. I will still be recording predictions about the Biden administration, and depending on how I do, I might increase or decrease the current-events-blogging for the next administration.
February 29, 2024 · Original source
…I said it was pretty obvious, like it’s a law of nature, but maybe that’s not true? Republicans thought they were winning as recently as 2020; Democrats were very close to thinking it in 2016. So you could also make an argument that whichever side doesn’t have the President thinks they’re losing, up until the Biden administration, when Democrats decided they were losing even though they had Biden. But Republicans thought they were losing until halfway into the Trump administration, then changed their minds, even though the Dems won the House that year. Why?
Bill of Rights

Bill of Rights is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 24, 2022 and March 11, 2026. The archive places it in contexts such as "a common-sense approach based on the US Constitution and our Bill of Rights"; "Congress passed the Bill of Rights, containing twelve Constitutional amendments". It most often appears alongside California, Texas, United States.

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Bill of Rights
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2
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May 24, 2022
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March 11, 2026
May 24, 2022 · Original source
This 2022 election is all about stopping what is happening all around us. We sense an underlying, destructive anti-American presence that is causing California to be a less desirable place to live and do business. Obama’s prediction years ago that America must be “fundamentally transformed” is coming true before our eyes. Our news media has been compromised and we must dig deeper to be truly informed and understand how to fix this broken system. There is so many issues before us, each one rooted in bad ideologies and policies. Each of us have a personal responsibility to do our part to keep freedom alive. As Governor of California, I will fight for freedom, integrity, law and order, and a common-sense approach based on the US Constitution and our Bill of Rights. I am strongly against mandatory vaccinations, lockdowns, and mask mandates. I support science and freedom of individual choice. I am a capitalist who believes in free markets, not socialism. I am fed up with business as usual.
March 11, 2026 · Original source
In 1789, Congress passed the Bill of Rights, containing twelve Constitutional amendments meant to protect the American people. Ten of these twelve were ratified by the states and became law. Two failed and were forgotten.
The American people were outraged, especially after an economic crisis hit later that year. In the midst of the backlash, a member of the Ohio state legislature remembered the failed eleventh amendment in the Bill of Rights, which read:
That means eleven of the original twelve Bill of Rights amendments have made it into the Constitution. There’s only one left. It’s been ratified by eleven states already. If twenty-seven more states agree, it will become the law of the land. It is the right to Giant Congress.
BIPOC

BIPOC is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 09, 2022 and October 10, 2024. The archive places it in contexts such as "Subtract one point for each use of the words “blockchain”, “ML”, and “BIPOC”"; "free organic BIPOC-owned cannabis cafes". It most often appears alongside Elon Musk, 80,000 Hours, @GroundHogStrat.

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BIPOC
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2
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February 09, 2022
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October 10, 2024
February 09, 2022 · Original source
Here are some of mine: your new social network won’t kill Facebook. Your new knowledge database won’t kill Wikipedia. No one will ever use argument-mapping software. No matter how much funding your clever and beautiful project to enforce truth in media gets, the media can just keep being untruthful. The more requests for secrecy are in a proposal, the less likely it is to contain anything worth stealing. Subtract one point for each use of the words “blockchain”, “ML”, and “BIPOC”.
October 10, 2024 · Original source
On some level, I don’t mind having a bad governor. I actually have a perverse sort of fondness for Newsom. He reminds me of the Simpsons’ Mayor Quimby, a sort of old-school politician’s politician from the good old days when people were too busy pandering to special interests to talk about Jewish space lasers. California is a state full of very sincere but frequently insane people. We’re constantly coming up with clever ideas like “let’s make free organic BIPOC-owned cannabis cafes for undocumented immigrants a human right” or whatever. California’s representatives are very earnest and will happily go to bat for these kinds of ideas. Then whoever would be on the losing end hands Governor Newsom a manila envelope full of unmarked bills, and he vetoes it. In a world of dangerous ideological zealots, there’s something reassuring about having a governor too dull and venal to be corrupted by the siren song of “being a good person and trying to improve the world”.
Black

Black is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 09, 2022 and March 09, 2023. The archive places it in contexts such as "If you were an intelligent Black person you went to Howard"; "he was choosing “black” because it sounded scary". It most often appears alongside 417th Marquess of Cornwallshireshire, ACX, ACX.

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Black
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2
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December 09, 2022
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March 09, 2023
December 09, 2022 · Original source
In 1930 going to Harvard was something you did because you were a WASP. If you were an intelligent Black person you went to Howard. Partly because of racial discrimination to be sure. But partly because going to Harvard was not a prestigious trophy. Simply having a college degree marked you out as elite. So why not go to the college your community built? Where you'd see the elites of your own community?
March 09, 2023 · Original source
Slurs are like this too. Fifty years ago, “Negro” was the respectable, scholarly term for black people, used by everyone from white academics to Malcolm X to Martin Luther King. In 1966, Black Panther leader Stokely Carmichael said that white people had invented the term “Negro” as a descriptor, so people of African descent needed a new term they could be proud of, and he was choosing “black” because it sounded scary. All the pro-civil-rights white people loved this and used the new word to signal their support for civil rights, soon using “Negro” actively became a sign that you didn’t support civil rights, and now it’s a slur and society demands that politicians resign if they use it. Carmichael said - in a completely made up way that nobody had been thinking of before him - that “Negro” was a slur - and because people believed him it became true.
“All lives matter” is a hyperstitious slur. Taken literally, it’s an inoffensive sentiment, perhaps the most inoffensive one. My impression is that for the first week of its existence, it was mostly meant inoffensively, used by nice elderly people who thought it was a friendly amendment to the Black Lives Matter slogan. But once the media successfully convinced everyone that it was a racist attempt to erase black lives in particular, and that people would scream at you if you used it, then the only people who kept using it were ones who cared so little about BLM’s opinion that they didn’t mind - maybe welcomed - being screamed at. I think use of All Lives Matter had very low - maybe 51-49 - correlation with political opinion the first week it was in use. Now it’s probably 99-1.
True facts can be hyperstitious slurs. “Black people commit more crime” is a hyperstitious slur, in the sense that racists talk about it more than non-racists, this helps it become a signal for racism, the fact that it’s a known signal for racism causes non-racists to talk about it even less than they would otherwise, and the vicious cycle ends with it being a very strong signal for racism and non-racists avoiding mentioning it. This leads to another sort of vicious cycle: half of people understand it’s a true fact that they’re not supposed to say for signaling reasons, the other half have never heard it before and assume it must be a vicious lie, and you end up with situations where someone notices that some police department arrests more blacks than whites, accuses that specific police department of racism, and everyone is afraid to explain what’s going on. I think the accepted way around the problem in these very few situations where it’s absolutely necessary to talk about it is by adding “. . . but obviously this goes away when you adjust for poverty” at the end. Even though this statement is false, it successfully avoids the hyperstitious slur and lets you mention the fact in that one special-purpose case.
black Americans

black Americans is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 12, 2022 and January 15, 2025. The archive places it in contexts such as "Very large Pew poll of black Americans"; "Malawians to be more than 15 IQ points behind black Americans". It most often appears alongside 538 deluxe model, @rcafdm, Andres.

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black Americans
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2
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October 12, 2022
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January 15, 2025
October 12, 2022 · Original source
39: Very large Pew poll of black Americans. Findings include: 60% say racism is an extremely big problem, 15% say they are regularly (64% from-time-to-time, 21% neither of the above) discriminated against, 65% say increased focus on racial inequality has not improved black people's lives, 35%/39%/23% want local police funding increased/the same/decreased. Many more results at the link.
January 15, 2025 · Original source
Which gap in nutrition/health/education is bigger - the gap between US whites and US blacks, or the gap between US blacks and Malawian blacks? It’s the US/Malawi one, right? US whites and blacks eat about the same number of calories; they often go to the same hospitals and attend the same schools. Meanwhile, in Malawi, children still sometimes starve to death, 30% of the population is infected by parasitic worms, and only 40% of students graduate the eighth grade. So under the environmental hypothesis of IQ, we should expect Malawians to be more than 15 IQ points behind black Americans. If Lynn is right and Malawi has an IQ of 60, then they’re 25 IQ points behind black Americans.
Bobos

Bobos is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 01, 2022 and December 09, 2022. The archive places it in contexts such as "Bobos helps provide concrete details"; "Brooks’ neologism for the new meritocrats, “Bobos”, stood for bourgeois bohemians"; "David Brooks reconsiders Bobos 20 years later (Atlantic)". It most often appears alongside Brooks, David Brooks, Fussell.

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Bobos
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2
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December 01, 2022
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December 09, 2022
December 01, 2022 · Original source
Fuzzy trad ideas of “values” mattering. Brooks already hints at this in his discussion of the crime / illegitimacy boom. I was previously suspicious of these explanations because it was hard to come up with a locus for “values”. Trends this big couldn’t be explained by individual values, but they didn’t quite seem like national values either - at least not the kind that could be budged with public awareness campaigns and feel-good support-our-values Disney movies. Brooks suggests the ruling class as the repository of values, and then lets values change suddenly because of a change in ruling classes. One final note: Brooks’ neologism for the new meritocrats, “Bobos”, stood for bourgeois bohemians. It was cute but never caught on. I would say its closest modern equivalent is “bluechecks” (this is a a vast improvement over the earlier term “Cathedral”, since it doesn’t imply having read Moldbug). Alas, Elon Musk ruined it; I can only hope lightning strikes a second time and we get some equally descriptive moniker. And speaking of Elon: every true silicon-blooded techie dreams of a world with no ruling class. A world where DeFi algorithms replace bankers, prediction markets replace “thought leaders”, and something something Khan Academy handwave bootcamp something something replaces the Ivy League. This is a beautiful utopian vision, which means it will never happen. More realistically, might techies replace traditional meritocrats as the ruling class? I think this was plausible around 2015, then fizzled out. Partly it fizzled because the New York Times, eternal mouthpiece of the establishment, noticed the situation and played defense effectively. Partly it failed because the meritocrats sort of took over Silicon Valley, and even though they don't own everything yet, they do own enough to prevent it from organizing into a real counterelite. And partly it failed because the specter of Trump convinced lots of different elites to close ranks around the bluechecks as heroic defenders of democracy. I'm currently bearish on the whole project. But if Brooks is right, Conant/Pusey’s fateful (and at the time unheralded) decision to open up Ivy admissions showed just how fragile aristocracies can be. Maybe some opportunity will arise where it is least expected. Related: David Brooks reconsiders Bobos 20 years later (Atlantic)
David Brooks’ Bobos In Paradise is an uneven book. The first sixth is a daring historical thesis that touches on every aspect of 20th-century America. The next five-sixths are the late-90s equivalent of “millennials just want avocado toast!” I’ll review the first sixth here, then see if I can muster enough enthusiasm to get to the rest later.
The debate around meritocracy. I previously wrote that it was hard to be against meritocracy, in that the alternatives - cronyism, nepotism, titled nobility - seemed worse. Bobos helps provide concrete details. The WASP aristocracy in fact seems bad to me; a lot of them really were arrogant boors who spent most of their energy conspicuously consuming and yachting. But if we grant a long chain of conjectures, they seemed to be better at some aspects of leading the country than their meritocratic successors. Why? Is there a simple patch, or is meritocracy inherently dangerous?
December 09, 2022 · Original source
Woody Hochmann writes:
And MM adds:
Melvin writes:
Bolsheviks

Bolsheviks is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 10, 2021 and July 22, 2022. The archive places it in contexts such as "whose parents were murdered by the Bolsheviks"; "The Bolsheviks created a professional revolutionary class that successfully seized power". It most often appears alongside Scott, United States, 1984.

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Bolsheviks
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June 10, 2021
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July 22, 2022
June 10, 2021 · Original source
Orwell and Boris share a pretty cute bromance for most of the Parisian section, spending nights together in terrible cheap rooms, discussing their future prospects. Usually, Boris(a Russian expat whose parents were murdered by the Bolsheviks) serves as the brains of the operation:
July 22, 2022 · Original source
The Bolsheviks created a professional revolutionary class that successfully seized power, but it came at the cost of a top-down totalitarianism that recreated the rigid hierarchy communism was meant to eliminate.
Bored Apes

Bored Apes is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 07, 2022 and February 07, 2022. The archive places it in contexts such as "the wrong current floor value for Bored Apes"; "Some of these are totally without social value, like ... Bored Apes"; "like Ponzi schemes and Bored Apes". It most often appears alongside #climate24x7, ACX Grant, Afghanistan.

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Bored Apes
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2
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February 07, 2022
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February 07, 2022
February 07, 2022 · Original source
2: Some updates to my Predictions for 2022, especially relevant if you’re playing in the related contest: First, I misinterpreted Matt Yglesias’ question about a Q4 2021 recession as being about a Q4 2022 recession, so my prediction on it is dumb and you should ignore it - for your own contest entries, please predict the Q4 2021 recession, as Matt did. Second, for unclear reasons I gave the wrong current floor value for Bored Apes; I will be judging the prediction on whether they end up lower than the real floor price as of last week ($320K), not whether they end up lower than the false number I gave. Sam and Eric can weigh in on how they’re going to judge this in the contest.
February 07, 2022 · Original source
There are lots of financial products which people want, but which regulation prevents them from having. Some of these are totally without social value, like Ponzi schemes and Bored Apes. Others have a lot of social value, like prediction markets, initial coin offering style funding schemes, and cutting middlemen out of immigrant remittances. More than a few might even have negative social value, like easy ways to buy drugs, or super-high-interest loans marketed to very impulsive people. Without passing judgment on whether these things are good or bad, they are legion. Collectively, they’re a zillion-dollar market.
bouffée délirante

bouffée délirante is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 22, 2023 and February 27, 2023. The archive places it in contexts such as "The French suffer from bouffée délirante, where a perfectly healthy person suddenly becomes completely psychotic"; "I don’t think Bouffée délirante is a culture bound syndrome - it’s just the French equivalent of brief psychotic disorder". It most often appears alongside China, DSM, Ethan Watters.

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2
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2
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February 22, 2023
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February 27, 2023
February 22, 2023 · Original source
This image (source) of a witch stealing a man’s penis, with a box of previously-stolen penises to her right accompanies the 1411 poem “Flowers Of Virtue” in its 1486 edition. Malleus Maleficarum was published in 1486, so if the original text of Flowers Of Virtue contained the incident this picture refers to, it would predate Malleus. But the original text is written in poetic medieval German and I can’t find a good translation. When I wrote my review of the Malleus, people were surprised at the penis-stealing witch chapters. Yet nothing could possibly be less surprising; the penis-stealing witches are timeless and omnipresent. When commenters continued to doubt, I promised them this review of Frank Bures’ Geography Of Madness. II. Frank Bures is a journalist. In 2001, he came across an unusual BBC article: a mob had killed twelve people in Nigeria, believing them to be penis-stealing witches. A few months later, a similar article: five people, Benin. He tried to pitch a story about the phenomenon to his editor, who “said he couldn’t pay me to fly to Nigeria and find essentially . . . nothing”. For some reason - and this is the point at which I start to worry about narrator reliability - Bures became obsessed with this. He couldn’t get it out of his mind. He started scraping together money to visit Africa on his own, story be damned: Nigeria gnawed at me. I knew that it was a terrible time to leave. I knew that [my wife] Bridgit, newly pregnant, wouldn’t want me to go. But I also knew that I had to, and that if I didn’t it would be a lifelong regret. . . three months later, I was the lone tourist on a plane full of Nigerians descending to Lagos. Africa is a relative newcomer to penis-stealing witches: The first recorded incident of penis theft in Africa I could find took place in Sudan in the 1960s. But in the mid- to late seventies in Nigeria, there were waves of well-documented cases. One of these happened in the northern city of Kaduna, where a psychiatrist named Dr. Sunday Ilechukwu was working in his office when a policeman arrived, escorting two men. One of them said he needed a medical assessment: He had accused the other of making his penis disappear. As with [a previously discussed incident], this had caused a disturbance in the street. During Ilechukwu’s examination, he later recounted, the victim stared straight ahead while the doctor examined his penis and pronounced him normal. “Exclaiming,” Ilechukwu wrote in the Transcultural Psychiatric Review, “the patient looked down at his groin for the first time, suggesting that the genitals had just reappeared.” According to Ilechukwu, this was part of an epidemic of magical penis theft that swept through Nigeria between 1975 and 1977. “Men could be seen in the streets of Lagos holding on to their genitalia either openly or discreetly with their hand in their pockets,” Ilechukwu wrote. “Women were also seen holding on to their breasts directly or discreetly, by crossing the hands across the chest . . . Vigilance and anticipatory aggression were thought to be good prophylaxes. This led to further breakdown of law and order.” During an incident, the victim would yell: “Thief! My genitals are gone!” Immediately, a culprit would be identified, apprehended by a crowd, and often killed. …but it’s been making up for lost time. Bures was able to find and interview one previous penis theft victim, plus the friend of another. Both described similar stories: someone had bumped up against them under weird circumstances, they immediately noticed their penis was much smaller than usual, they called out the culprit, and - apparently because the witch involved didn’t want to get in trouble - their penis was restored. Whatever weird itch this topic had given Bures, this didn’t satisfy him. He writes, very lucidly, about a desire to get closer to “the story”. He started bumping up against random Nigerians in suspicious ways, hoping one of them would accuse him of stealing their penis. Bures was an obvious foreigner, and a these panics often resulted in the suspected penis-stealer getting lynched, so this was a crazy thing to do. He could easily have died. Instead, everyone politely ignored him, nothing happened, and a slightly-disappointed Bures flew back to his poor family and abandoned his weird obsession. III. …for four years. After that the bug bit him again and he flew to Asia, long a center of penis-stealing witch activity. There are nature documentaries on lions, dolphins, even dinosaurs. They all share a common pattern: you talk about your subject’s habitat, their diet, their behaviors. The Asian half of The Geography Of Madness has the feel of a nature documentary on penis-stealing witches. And the last beat of every nature documentary has to be: this majestic creature, which once roamed from one end of the region to the other, is now endangered, threatened by increasing globalization and industrial activity. This is true for the witches also. Bures’ time in Hong Kong was a bust. There was a penis theft panic there forty years earlier, and he was able to interview some of the doctors who treated it. But they all said that was long ago. Now everybody is Westernized and has Western fears like vaccine injury or structural racism. They get Western mental disorders like depression and anorexia. The idea of witches stealing their penises seems as risible to them as it probably does to you. Singapore was also a bust. Bures had hoped it wouldn’t be, because it’s full of Malaysians, and Malaysia holds a special place in history as the spot where penis-stealing witches first made contact with Western science. The Malaysian word for the condition is koro (it means “head of a turtle”, based on an analogy to the penis retracting into the body the same way a turtle’s head retracts into its shell), and it is by this name that the condition gets listed in the DSM and the rest of the medical literature. Neither I nor Bures was able to find many ethnic Malays worrying about koro; most of the activity seems to be from Malaysian-Chinese. The Chinese definitely worry about it, attributing it to a wide variety of causes including poisoning, yin-yang imbalance, and - yes - witches. But Bures found nothing among any ethnicity. Once again, all the doctors said it used to be common, but disappeared as the city industrialized and adopted Western ways. Guangzhou was also a bust. The doctors said the same thing - in the old days, there would be huge epidemics of koro, social contagions that would impact hundreds of people at once. Now only a few superstitious rural people still believed. One traditional healer said he saw “three or four” cases a year. All the educated people had moved on. I once saw a nature documentary on Tasmanian tigers. Most people believe these have been extinct since 1930. Still, there are occasional unconfirmed sightings, especially in a remote area called Cape York, and every so often some scientists trudge off to Cape York with traps and cameras in the hopes of getting lucky. Bures decides end his own nature documentary with an expedition to the Cape York of the penis-stealing witches. This is a remote island village in China called Lin’gao, where in 1984: . . . rumors spread of a fox ghost - sometimes disguised an old woman roaming the land—collecting penises in covered baskets she carried on a shoulder pole. When two young men approached her and told her to uncover the baskets, they looked inside, saw that the baskets were filled with penises and died instantly of fright. Panic about koro would hit a village and last three to four days. When residents heard about a case in a neighboring village, the panic would subside, since that meant the ghost had moved on. The attacks slowly made their way around the island. The ghost struck at night, when villagers were sleeping. A chill would creep into the room, and suddenly the victim would feel his penis shrinking inward. He would grab it and run outside for help. A twenty-eight-year-old office worker was at home one night when: > “ . . . he heard a gong being beaten and the terrifying noises made by people who were panicking in a nearby neighborhood. He suddenly became anxious and experienced the sensation that his penis was shrinking. He was seized with panic and shouted loudly for help. Several men in the neighborhood rushed in and tried to rescue him by forcefully pulling his penis and making loud sounds to chase away the evil ghost that was thought to be affecting him.” Neighbors and family members were enlisted in rescue operations. Victims were beaten with sandals and slippers while the middle finger of their left had was squeezed, so that the ghost could exit the body there. The epidemic engulfed the island, with the exception of the Li and Miao minorities, who seemed to be immune to such fears. Researchers estimated that between 2,000 and 5,000 people were affected, but that “no one died from genital retraction.” One baby, however, did die when his mother tried to feed him pepper juice, and a girl was beaten to death during a two-hour exorcism. “Numerous men suffered injuries to their penises as a result of ‘rescuing’ actions.” Iron pins were sometimes inserted through the nipples of women to prevent retraction, which caused infections as well. This was, as far as anyone knows, the last great koro epidemic in Asia. Bures had a terrible time getting to Lin’gao. He had equal trouble getting an interpreter; the natives spoke a language called Be, very distantly related to Thai but not at all to regular Chinese. Finally he found someone who was able to contact a local shaman. Like any good doctor, the shaman referred him to a specialist - in this case, the designated anti-ghost shaman, who lived in a different village. He spent most of his time off on various ghost-fighting missions, but eventually Bures and his team were able to track him down. I want you to picture the scene. An American journalist has been traveling the world in search of a dying variety of witchcraft. Now he’s reached the end of the line, the wildest and most primitive region of China. With great difficulty, he has procured an interpreter. Together, they consult a shaman, who sends them on a quest to find a second, wiser shaman who specializes in ghosts. After many trials and tribulations, he reaches the second, wiser, ghost-specialist shaman, who invites him into his home, filled with strange charms and magical images. “Tell me your question,” says the shaman. And Bures asks: “What do you know about penis-stealing witches?” . . . and the shaman answers: “Haha, no one believes in that stuff anymore.” IV. So as a nature documentary, The Geography of Madness is kind of a bust. Still, Bures rescues it with some great analysis of culture-bound mental illness. A culture-bound mental illness is one that only affects people who know about it, and especially people who believe in it. Often it doesn’t make sense from a scientific point of view (there’s no such thing as witches, and the penis can’t retract into the body). It sometimes spreads contagiously: someone gets a first case, the rest of the village panics, and now everyone knows about it / believes in it / is thinking about it, and so many other people get it too. Different cultures have their own set of culture-bound illnesses. Sometimes there are commonalities - many cultures have something something penis something witches - but the details vary, and a victim almost always gets a case that matches the way their own culture understands it. THESE PEOPLE ARE NOT MAKING IT UP. I cannot stress this enough. There are plenty of examples of people driving metal objects through their penis in order to pull it out of their body or prevent the witches from getting it or something like that. There is no amount of commitment to the bit which will make people drive metal objects through their penis. People have died from these conditions - not the illness itself, which is fake, but from wasting away worrying about it, or taking dangerous sham treatments, or getting into fights with people they think caused it. If you think of it as “their unconscious mind must be doing something like making it up, but their conscious mind believes it 100%”, you will be closer to the truth, though there are various reasons I don’t like that framing. In Rajasthan, India, people come to the hospital with gilahari (lizard) syndrome. Patients say a lizard-like mass, sometimes visible as a skin swelling, is crawling around the body. They express terror that it will reach their airway and suffocate them. Japanese people may contract jikoshu-kyofu, a debilitating fear that they have terrible body odor. No amount of reassurances by friends and psychiatrists can convince these people that they smell normal, nor will any number of deodorants or perfumes make them comfortable. The French suffer from bouffée délirante, where a perfectly healthy person suddenly becomes completely psychotic, with well-formed hallucinations and delusions - then recovers just as suddenly, sometimes over hours or days. This is not how psychosis works anywhere except France and a few former French colonies. Traditional Chinese medicine monitors the balance between yin and yang. The male orgasm can deplete yang, and sure enough in China (but nowhere else) some men suffer traditional symptoms of yang depletion after they orgasm. “The symptoms can last weeks to months after a single orgasm, [and include] chills, dizziness, [and] backache”. The phrase “run amok” comes from Malaysia, where it referred to a specific phenomenon: some person who had been unhappy for a long time would suddenly snap, kill a bunch of people, then say they had no memory of doing it. Malaysian culture totally rolls with this and doesn’t hold it against them; the unhappiness is a risk factor for possession by a tiger spirit, which commits the killings. Although Malays have been doing this since at least the 1700s, there are some fascinating parallels with modern US mass shootings that suggest the damn tiger spirits have finally made it to the US common psychological origins. I have seen exactly one demonic possession case in my ten years as a psychiatrist. The man fell to the ground, mouth foaming, chanting strange syllables and the names of Biblical demons. My attending doctor at the time - one of those people who somehow manages to be an expert in everything - was an expert in demonic possession, and told us that he was in no way psychotic, antipsychotics wouldn’t help him (except insofar as they help everyone by decreasing all behaviors), and he needed to “work through his issues”. The patient was uncooperative - he was only visiting MDs because the local bishop wouldn’t call in an exorcist until he got a psych exam - and eventually left against medical advice. After going down the list, Bures asks the correct next question: how do we know whether or not our own mental illnesses are just as culture-bound as the Japanese or Malaysians’? Cultures that believe in witches have witch-related culture-bound illnesses; cultures that believe in demons have demon-related ones. We believe in science, so we should expect sciencey-sounding culture-bound illnesses, and these might be hard to tell apart from other, more physical conditions. So how suspicious should we be, and of what? Certainly we have some culture-bound mental illnesses. Electromagnetic hypersensitivity is a condition where some people supposedly become very sick when exposed to electromagnetic fields (like from cell phones). This sounds very scientific and makes perfect sense according to our culture, but researchers have found that placebo electrical devices make them exactly as sick as real ones, and that devices they don’t know about don’t make them sick at all. These people’s pain is real, and their lives are very difficult (although a few have found refuge in the National Radio Quiet Zone, an area in Virginia where the government enforces a ban on electromagnetic transmissions for secret military reasons). But their condition only afflicts them because they believe in it, much like with koro. Fine, everyone knows that one’s not real. What about DSM-style mental disorders, the stuff everyone’s supposed to believe in? Are those culture-bound? Unfortunately, I think Bures kind of flubs this section. He decides to focus on PMS (premenstrual syndrome), which is officially included in the DSM as PMDD (premenstrual dysphoric disorder). After discussing the history of hysteria, he writes that: Today, hysteria is never diagnosed, except by unwise husbands. In 1931, however, an American gynecologist named Robert Frank revived the idea in a new guise. He published an article titled, “The hormonal causes of premenstrual tension.” Frank described symptoms that occurred in the week before menstruation: irritability, bloating, fatigue, depression, attacks of pain, nervousness, restlessness, and the impulse for “foolish and ill considered actions,” due to ovarian activity. Again, the cause was the uterus. Then in 1953, British physician Katharina Dalton elaborated on this, arguing the condition came from fluctuation of estrogen and progesterone. She called it Premenstrual Syndrome, and soon symptoms grew to include: anxiety, sadness, moodiness, constipation or diarrhea, feeling out of control, insomnia, food cravings, increased sex drive, anger, arguments with family or friends, poor judgment, lack of physical coordination, decreased efficiency, increased personal strength or power, feelings of connection to nature or to other women, seizures, convulsions, asthma attacks, not to mention flare ups in asthma, allergies, sinusitis, anxiety disorders, irritable bowel syndrome, migraines, and multiple sclerosis. If any of these symptoms occurred in the second half of the menstrual cycle, one had PMS. Estimates of the number of women afflicted ranged from 5 percent to 95 percent. In the 1980s, three women in the UK were tried for arson, assault and manslaughter. The three all claimed they had diminished responsibility due to PMS, and got reduced sentences on the condition that they underwent hormone treatment. After that, according to one study, American women flooded doctors with requests for help with their PMS. “Popular groups like PMS Action were founded to promote recognition and treatment of PMS by medical professionals. Private PMS clinics began to appear in the USA, modeled after those in the UK, and progesterone therapy was enthusiastically adopted, much to the chagrin of many gynaecologists who viewed its use as ‘unscientific’ and ‘commercial’, not to mention unlicensed." Based on all this, the 1987 version of the DSM-III included a new category: Late Luteal Phase Disorder (luteal refers to progesterone). It was proposed as a topic for further research, but despite the absence of such research, it was included in the 1994 edition of the DSM-IV under the name Premenstrual Dysmorphic Disorder, or PMDD.96 In 2013, in the DSM-5, it was given its own category as a full-fledged mental illness. Yet neither PMS nor PMDD occur in most cultures. There are no biomarkers to measure them by. No conclusive correlation has ever been found between estrogen or progesterone levels and PMS. As one study noted, “the more time that women of ethnic minorities spend living in the United States, the more likely they are to report PMDD. Thus, if we are to accept PMDD as a reified medical disorder, then we must also accept exposure to U.S. culture as a risk factor for contracting PMDD.” If it is a syndrome at all, it’s a cultural one. I asked my wife what she thought of this, and she told me: The day before her first-ever period, as a teenager, when she had never really thought about PMS, she felt exceptionally weird, emotional, and generally off, to the point where it seemed to demand an explanation. Then she had her first-ever period, and retroactively explains it as PMS.
February 27, 2023 · Original source
I don’t think Bouffée délirante is a culture bound syndrome - it’s just the French equivalent of brief psychotic disorder (DSM), acute and transient psychotic disorder (ICD), or Brief Limited Intermittent Psychotic symptoms (CAARMS). [See] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581951/
breast cancer

breast cancer is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 01, 2021 and July 31, 2025. The archive places it in contexts such as "family history of multiple conditions, like schizophrenia and breast cancer"; "like not getting breast cancer, might be so valuable". It most often appears alongside schizophrenia, 23andMe, 23andme.

Article page
breast cancer
Mention count
2
Issue count
2
First seen
July 01, 2021
Last seen
July 31, 2025
July 01, 2021 · Original source
What if you have a family history of multiple conditions, like schizophrenia and breast cancer? Wouldn't that mean decreasing returns on selection? Unless by coincidence the embryo with the lowest schizophrenia risk also has the lowest breast cancer risk, you have to choose to minimize one or the other, right?
Sort of. You can also just try to minimize serious disease. This is the idea behind genomic indexing, which calculates an embryo's risk of every disease we know how to screen for, weights them by how likely they are and how bad they are, and tries to pick the embryo with the best chance of an overall healthy life. So for example, if Embryo 1 has high risk of breast cancer but low risk of high blood pressure, and Embryo 2 is the opposite, then the algorithm knows that cancer is worse than high blood pressure, and will select Embryo 2. Here's what you can do with genomic indexing:
Getting back to reality - the first polygenically screened baby was born last year to a family with a history of breast cancer, which screening + selection can make less likely. Her name was Aurea, meaning "dawn" - which may or may not be a coincidence.
July 31, 2025 · Original source
Herasight’s numbers on how breast cancer risk goes down with number of embryos used in selection. A typical round of IVF produces 1-10 embryos (younger women usually = more). Women with polycystic ovarian syndrome (prevalence: 10%) may get as many as 20. For more, you will probably need to do multiple IVF rounds. Here is a table of different companies’ reported risk reductions, slightly adjusted7 for different reporting conventions but otherwise taking all claims at face value (we’ll talk about how wise that is later). Relative risk reduction for five conditions (gray = no data / disputed data). Here baseline is for embryos neither of whose parents have the condition. GP and Orchid both say their technology has improved since reporting these numbers and they will report better numbers soon. GP numbers are not within-family validated and might be lower if they were. Absolute risk after selection for five conditions (gray = no data / disputed data), ibid. Some people might genuinely want to select on a single condition. For example, people with a strong family history of schizophrenia might want to minimize the chance of their children getting the disease; for these people, reducing schizophrenia risk by 58% (while keeping everything else constant) sounds pretty good. Everyone else probably wants a generically healthy embryo with low risk of all conditions. Exactly how this works depends on the customer’s own values - would they prefer an embryo with lower cancer risk to one who will have fewer heart attacks? - and the exact benefits will depend on how parents make that decision. Genomic Prediction and Herasight try to help by providing semi-objective measures of which embryo is overall healthiest according to different conditions’ effects on longevity and patient-rated quality of life. For Genomic Prediction, that’s the “embryo health score” If you selected the single highest-health-score embryo from a set of five, here’s how they’d do: For Herasight, it’s a “polygenic longevity index”. They don’t give exact risk reduction numbers for each disease, saying that it depends too much on a couple’s specific family history, but say that most people gain 1-4 years of healthy life (when I test it on a set of twenty embryos, the the healthiest gets an extra 1.66 years). How much would you pay to give your children an extra 1-4 years of healthy life? This is no longer a hypothetical question. Here are the costs of the companies in this space: Is it worth it? If: You’re already doing IVF
You’re okay using expected utility calculations where a 50% chance of preventing X is half as good as fully preventing X. …then I’ll go out on a limb and say yeah, obviously it’s worth it. Consider e.g. Genomic Prediction, which costs $3,250 for five embryos and claims to lower absolute risk of Type 2 diabetes by 12%. That implies that not getting Type 2 diabetes is worth $27,000. Ask anybody dealing with regular insulin injections (let alone limb amputations) whether it would be worth $27,000 to wave a magic wand and not have Type 2 diabetes! It’s not a hard question! And that’s just one of a dozen conditions you can lower the risk for! Other ones, like not getting breast cancer, might be so valuable that it’s hard to even attach numbers! (but maybe the low time discount rate is a mistake? Suppose you invest the $3,250 in an index fund that makes 7% over inflation, then give it to your future child when they turn 45 (average age of type 2 diabetes diagnoses). Now it’s worth $75,000. Is this the “true” cost of the intervention? Does it matter that this counterfactual is fake and most people don’t do this?) What about IQ? Six extra IQ points (Herasight’s estimate with five embryos) is about a quarter of the gap between the average person and the average Ivy League student. The benefits of intelligence are hard to quantify, but it’s been shown to have probably-causal positive effects on income, mortality, and achievement. Probably the income effects alone make up for the cost of intervention - again assuming total parent-child altruism and low discount rate8. So if we accept all of these claims and assumptions, the choice seems obvious. It’s probably even obvious for governments to pay for all citizens to get these, given how much they’d save on health care costs. In Practice, It’s Complicated Critics have raised both scientific and ethical objections to polygenic embryo screening. Most significantly, it’s been condemned by various bodies including the Society For Psychiatric Genetics, the European Society of Human Genetics, and the Behavioral Genetics Society. Their statements are . . . not good. They tend towards vague language about how people are more than just their genes, or how no genetic test can be perfect, or how embryo screening is not exactly the same thing as some other form of screening which has a longer history and more proponents. “Although in general higher scores mean you are more likely to have a condition, many healthy people will have high scores; others might develop the condition even with a low score”, says the Society for Psychiatric Genetics, as if they have just blown the lid off some dastardly conspiracy. “Screening embryos for psychiatric conditions may increase stigma surrounding these diagnoses”, they continue - an objection which, taken seriously, could be used to ban every form of medical treatment. We will mostly ignore these people and try to imagine the objections that mildly competent critics might raise, some of which will coincidentally overlap with the content of the non-hypothetical statements. Scientific Objection: Efficacy Are we sure this works at all? A typical polygenic score is created by collecting thousands or millions of adult genomes, then matching genetic information with surveys about who has the trait/condition of interest. Reputable studies then test these scores on holdout samples - adults who were not used to make the score, to see if they still accurately predict who has the trait/condition. Polygenic embryo selection depends on an assumption that the scores which work in these kinds of retrospective tests will also work prospectively on embryos. This assumption hasn’t been formally proven in studies (which would require years to decades to conduct), but seems common-sensical. The strongest challenge to the application of polygenic scores for embryo selection comes from a recent body of research showing that most scores combine causal genetic effects with population stratification, and therefore can be expected to lose much of their predictive power when comparing two members of the same family (e.g. two embryos from the same couple). There is increasing agreement in the field that unless scores are validated within families, headline results like “decreases risk of X by Y%” will be large overestimates. When I talked to company representatives, they all said that they took accuracy extremely seriously and had various white papers and journal articles where anyone could double-check their methodology. But I attended an industry conference a few months ago, and the gossip level was comparable to a high school cafeteria (minus the sex rumors - most of the attendees were having their own kids via IVF). Everyone had some story about someone being careless or fudging their numbers. Some of the conflicts broke out into the open on Wednesday, when Herasight left stealth and published a white paper and associated blog post. They criticize Genomic Prediction for reporting between-family rather than within family results9, and Orchid for smuggling a term for age into their Alzheimer’s predictor (unsurprisingly, this makes it work better). We’ll get to their accusations against Nucleus below. Note that this was recent enough that competitors haven’t had time to respond or to air their own criticisms of Herasight; if this happens, I’ll try to keep you updated. Maybe this is cope, but my optimistic perspective is that this bounds the damage. This obviously isn’t a field capable of maintaining a conspiracy of silence. But aside from the Nucleus allegations, the complaints aren’t existential. Maybe some numbers are too high, maybe some predictors are slightly rigged. But the more we learn about these admittedly concerning problems, the more we can hope that we’d have heard about it if nothing worked at all. Overall my strongest opinion on the scientific criticisms is: Authorities on all sides have cited Alex Young10 as an authority on how polygenic scores can be confounded or misleading.
That serves as proof-of-concept that this technology can work, and means other companies’ claims are at least plausible. Scientific Objections: Antagonistic Pleiotropy This is a fancy term for “sometimes genes that are good in one way are bad in other ways”. For example, there is a gene that decreases the risk of lung cancer, but increases the risk of leukemia. If you selected against lung cancer, you might give your child higher leukemia risk. Several of the professional societies raise this concern, and Sasha Gusev gives several examples here, including a correlation between education/IQ and anorexia. When I think about these concerns, I consider the following thought experiment: suppose that I had a natural, unselected child, and that child became high school valedictorian and got into Harvard. Would my first reaction be “Oh no! This slightly raises her risk of anorexia!”? If not, why should this be our reaction to artificially increasing IQ? Genetic selection isn’t doing some different, magical thing. It’s just picking from within the natural IQ/anorexia variation. If you would be happy to have higher IQ (or lower breast cancer risk, or lower schizophrenia risk) naturally, you should be happy to get it through selection too. (Objection one: suppose that the genetic component of IQ is net negative, but the environmental component is net positive to an even greater degree. Then IQ itself might be net positive - so you could still celebrate your valedictorian child - but since the genetic component alone is bad you wouldn’t want to select for it. I have never heard anyone seriously claim this, most studies suggest that genetic components of good things are good in the expected ways, and most critics don’t get this far. I mention it for the sake of completeness only.) (Objection two: is the example above just saying that I value IQ more than non-anorexia? If so, couldn’t I give an alternate example of learning that my child isn’t anorexic, celebrating this seemingly-obviously-good fact, but actually this means they have lower IQ and based on my stated values I should be sad? I don’t think so. There is no claim that the increased anorexia risk from raising IQ is exactly as bad as the IQ increase is good - for example, you could imagine a world where going from moron to supergenius only raises anorexia risk 0.0001%. More generally - although not rigorously - selecting for X should usually increase X more than it increases tangentially-correlated construct Y. So selecting for IQ should be net positive, even though it might slightly increase anorexia risk, and selecting for anorexia should be net negative, even though it might slightly increase IQ. I think this is the intuition that drives parents to be happy both when they learn that their child is smart, and when they learn their child doesn’t have anorexia - not just an intuition that one trait matters more than the other) But also, here’s the table of correlated genetic risks for psychiatric disorders: …where blue means that lowering the risk of one disease also lowers the risk of the other, and red means the opposite (as in the IQ - anorexia example above). Here’s the same table for other conditions, courtesy of Genomic Prediction (except I flipped the colors from the original, to match the one above): Aside from two bright orange squares (gallstones vs. hypertension and hypothyroidism - I don’t know what’s up with this and it doesn’t seem to be a widely-appreciated result) we see that most correlations are zero or positive - that is, selecting against one disease selects against another or at worst does nothing. In this ocean of blue, worrying about those few orange squares feels a bit motivated. Hans Jonas-ism says that no medical intervention may ever cause any harm, no matter how much benefit it produces. By this standard, perhaps slightly raising the risk of gallstones in the process of preventing various cancers and psychoses and other forms of human misery is unacceptable. To anyone with the more normal perspective where something with large benefits and tiny downsides is still pretty good, I don’t think the antagonistic pleiotropy argument carries much weight. Ethical Objection: Cost No way around this one: if these products work, they mean that rich people can have healthier/smarter/taller/prettier kids than poor people. One might object that at least they’re in good company: other products which help rich kids get healthier/smarter/taller/prettier than poor kids include private tutors, gyms, hair salons, health insurance, clothing, books, and food. Is this really the time to declare ourselves against this kind of thing? But maybe we should fight against expanding this already-bloated category. Or maybe there’s something more final about a genetic advantage. Maybe a stronger argument is that rich people get first crack at every new technology, but poor people usually follow close behind. The first cellphone, in 1982, cost $12,000 in today’s dollars. Now you can get something a thousand times better for $50, and Kenyan pastoralists use cell phones to call up the local shaman. The trajectory of genetics has been even more striking: sequencing a single genome cost about $100 million in 2000 and is somewhere around $100 today. Polygenic embryo selection has the potential to follow a similar path. There are two associated costs - sequencing the embryos, and running the analysis. Sequencing costs are decreasing and may eventually be comparable to the sorts of genetic screening (for e.g. Down Syndrome) that most families get anyway. Analysis costs are mostly the one-time expense of inventing the predictor; we might expect these to follow the same pattern as generic medications, where cutting-edge technology is jealously guarded and expensive, but last decade’s technology has made its way off patent and is cheap-to-free. A few groups have already created free open-source predictors; so far these are much worse than the private companies’ versions, but one of last year’s ACX Grantees is working on a better one. Also, it would be crazy for any forward-thinking government not to cover this; it could save hundreds of thousands of dollars in future health care expenses. In countries with public health care, this comes directly out of the government treasury; even in the US, it’s covered by Medicare after age 65. The government should be begging people to select embryos. The most persistent cost barrier is likely to be in vitro fertilization itself, a necessary precursor. In the US, 2-3% of babies are born through IVF. For those kids, this is a no-brainer - even if the cost never comes down, the cheaper products are only a fraction of total IVF expense. What about the other 98%? If those parents feel like they have to get embryo selection (and therefore IVF) to keep up, this could be a significant burden. IVF isn’t fun - it requires pumping a woman full of mind-altering hormones for weeks, extracting eggs in a minor surgery, and then implanting embryos in another minor surgery, all with a decent chance that some step will fail and you’ll have to do it all again. It also costs $15,000 in the US (less in poorer countries), and unlike the genetics, the cost has barely gone down in the past twenty-five years. Some countries, including Israel, offer free IVF for anybody who wants it. And universal basic IVF is surprisingly popular even in the usually government-phobic United States - Donald Trump made it part of his campaign platform. So there’s a plausible path to embryo selection for everyone who wants it. But it’s still going to take a while, it will hit different people at different times, and so far11 there’s no way around the month or two of various miserable medical procedures for women. Ethical Objection: Personhood Is it really correct to say that you have reduced someone’s risk of breast cancer by 46%, if what you’ve really done is closer to replacing them with a different person who is 46% less likely to have breast cancer? I cover this one in more depth here. Ethical Objection: Race This one is awkward: right now the technology works best for white people. Most genetic data available for research/commercial use comes from the UK, US, and Europe - areas which are mostly white. Asian biobanks, and those serving US minority communities, have been more reluctant to share data. So we know a lot about the genetics of white people, and only a limited amount about the genetics of anyone else. Companies are suitably embarrassed about this, and researchers in the field are working hard to wring every ounce of information out of the minority data they have. But for now, white people are the clear winner. Here’s data from Herasight: A European family with five embryos and no family history can cut their diabetes risk by 47%, and an African family 29%, with everyone else in between. As usual, all companies say that they adjust their scores based on the couple’s genetic ancestry. As usual, Herasight challenges them to publicly release data on exactly how they performed the adjustments and how well they work. All companies say they are working as hard as they can to improve cross-ancestry portability, but that progress will remain limited until governments collect/release better genetic data on non-white populations. Ethical Objection: Selection At some point, you’ve got to choose. Genomic Prediction and Herasight offer scores that aggregate overall health risks. Some people will follow them slavishly. Other people will try to second-guess them - would you prefer your child have lower cancer risk, or less chance of heart attacks? And this is the best case scenario! Herasight offers predictors for IQ, height and BMI; Nucleus offers those plus eye color and hair color12. A parent might encounter a situation where the embryo with their favorite eye color also has the highest cancer and schizophrenia risk, and choose to doom their child to cancer and schizophrenia because they really want pretty eyes. On average, even if everyone in the world selected for eye color, it wouldn’t raise cancer and schizophrenia risk. No not-deliberately-perverse polygenic selection choice can make your child worse off in expectation. Still, suppose you got cancer, and your mom admitted that she selected you for pretty eyes and didn’t even check the cancer column of the embryo selection report. How would you feel? And would you feel better or worse than someone whose parents didn’t do embryo selection at all, and spent the money on a Caribbean vacation? What if they selected your brother for everything great, then had you naturally? What if they selected you for IQ, but actually you are very stupid, and you were one of the 20% of cases where a predictor that’s right 80% of the time gets it wrong? Mark my words, one day there will be entire subfields of therapy dedicated to these issues. Going Nuclear Even as outsiders criticize the whole field, Herasight has launched a full-scale attack on competitor Nucleus. Herasight’s white paper compares its own predictors (favorably) to those of Orchid and Genomic Prediction… …but refuses to acknowledge Nucleus at all. In a supplementary note, the authors explain why: they accuse Nucleus of being so bad that it would “not yield a reliable or meaningful addition to our analysis”. They say Nucleus has inflated the accuracy of their scores. This is most dramatic for a few conditions like ADHD, where the leading published polygenic score is based on 2,300,000 variants but explains only ~1% of variance in the condition. Nucleus’ score is based on 12 variants13 and (implicitly) claims to explain 3-6%. This doesn’t make sense. Some of Nucleus’ other scores do use millions of variants. But many of these are 5-10 year old scores downloaded from open-source catalogs, whose accuracy statistics are easily available and far less than Nucleus claims. Here is what Herasight finds when they double-check Nucleus’ numbers: On their Substack, Herasight also criticizes Nucleus’ monogenic screening product. They point out cases where it fails to properly screen for the conditions it claims. For example, the Nucleus website advertises screening for spinal muscular atrophy: But on their gene list… …they don’t screen for SMN, which causes 95% of spinal muscular atrophy cases. They only screen for UBA1, which causes a distinct and much rarer condition called x-linked infantile spinal muscular atrophy. Professional organizations publish guidelines for what genes need to be screened in a screening product, and Nucleus does not appear to be following them. In further discussion, Herasight continued with exhaustive criticism of essentially everything Nucleus had ever done down to the smallest detail. Nucleus reports list the same baseline disease risk regardless of patient ancestry, but different ancestry groups should have different risks14. Nucleus’ physician reports sometimes list lower-than-average risk for patients with positive polygenic scores15. Nucleus’ age-based risk tables don’t distinguish between age and cohort effects (is this bad? see footnote16). My favorite critique is that Nucleus wrote a blog post criticizing competing company Orchid… …which included a section on how Orchid is a polygenic selection company, and polygenic selection companies are inherently “sketchy” and “honestly should be illegal”. But Nucleus is also a polygenic selection company! This is like Marlboro attacking Camel on the grounds that cigarettes are addictive and should be banned! Obviously something went wrong here - my guess is AI - and it’s a really bad look, especially when these scientific issues are so hard to litigate, and so many of us will have to go off gestalt impressions of corporate culture. Nucleus states that they validate their models internally and intend to make their results public soon. A Foothill Of The Future It’s hard not to love this technology. Lots of people (and the aforementioned professional organizations) manage anyway, but it’s hard. If this were a single-use medical treatment, delivered by a doctor after someone got the relevant condition, it would be one of the biggest advances of the decade - imagine a drug that cures 10 - 40%17 of breast cancers with no side effects! But in fact, it works for breast cancer, and schizophrenia, and heart attacks, and approximately everything else. The only things comparable are antibiotics and GLP-1RAs. And then there’s the IQ effects. Even after studying the literature, people have wildly different opinions about the importance of IQ. One of the most important debates is to what degree IQ differences are a cause of poverty, a consequence of poverty, or both. I lean towards both - a country with limited access to schools and medical care will have low average IQ, but as a consequence it probably won’t become the next big semiconductor hub. This technology could close half the IQ gap between poor and middle-income countries, or between middle-income and rich. Or it could give rich countries average IQs that have never been seen before, and let us see what kind of O-ring technologies (and new forms of social cooperation) lie just beyond the frontier. (this is the nice quantifiable argument in favor of IQ enhancement, but I find myself more convinced by fuzzier things - how much is it worth to be able to enjoy great art and literature? To fully comprehend what we know of nature, and be able to fully appreciate the mystery of the rest? To have a sense of why society works the way it does, instead of feeling like you’re being blown back and forth by institutions you don’t really understand? Amateur psychoanalysts like to say that the only people who care about IQ are those looking for an excuse to boast about how high their own is, but my experience is the opposite: I care about IQ because I bang up against the limits of my own a thousand times a day, and I hate it. I fantasize about ways to make my children smarter than I am for the same reason a dog confined in a tiny crate might fantasize about getting her puppies adopted out to a nice house with a big grassy yard.) My biggest qualm is that it might not matter. This is such a tiny foothill, flanking such a vast and foreboding range of mountains, that it might be a mistake to care about it at all. Selecting the best of five or ten embryos is not a very effective way to get the genes you want. There are things in the pipeline that will make this look like Hippocrates draining black bile. By the time the first polygenically selected children are adults, they’ll be old news. And then there’s AI. The average age at diagnosis for Type II diabetes is 45 years. Will there still be people growing gradually older and getting Type II diabetes and taking insulin injections in 2070? If not, what are we even doing here? Many people in the transhumanist community are still bullish on this technology. They think - well, there’s still an outside chance that something comes up and AGI takes another few decades. If we can enhance humans to be smarter, healthier, and more determined by the time it arrives, maybe we’ll have a better chance. Or maybe, if there’s a positive optimistic vision of a human-based high-tech future, people will be more willing to delay AI in the first place. I like this argument, but I also think it’s worth stepping back. What’s the point of anything? Why have kids at all in a world that’s changing this fast? Why save for the future? At some point your answer has to be romantic and aesthetic - it’s never been clear whether anything you do matters in any ultimate sense, but you’ve got to act as if it does and hope for the best. From that perspective, this is the most romantic technology of all. You’re not just giving a better life to your kids. Genes travel from generation to generation; you’re giving a better life your grandkids, your great-grandkids and so on to the point 1.77*log₂(population) generations from now when you are the ancestor of everybody and nobody. Somebody in Macaronesia in 3525 AD will avoid getting breast cancer because of you (if there is still cancer; if there are still breasts). Some combination of reasonable cost-benefit analysis and romantic/aesthetic commitments makes me want to have children despite the uncertainty, and the same combination made me sign up to use this technology despite the same. More later on how that’s going. 1I’m slightly mixing up two different things here - Down Syndrome can be detected with an aneuploidy test, but cystic fibrosis takes a more involved PGT-M test. 2There are two separate questions here. First, how much would diabetes risk decline if you selected the embryo with the lowest risk for diabetes - something you have no reason to do, since you have no reason to privilege diabetes risk over risk of any other disease? Second, how much would diabetes risk go down if you selected the embryo with the lowest health risk overall? Genomic Prediction’s their risk calculator calculator shows, seemingly paradoxically, that you get -38% relative risk by selecting against diabetes alone, but -41% relative risk by selecting against everything at once. Over email, they stand by this surprising result, saying that “for a couple of diseases (type II diabetes and CAD), the EHS actually accomplishes a larger risk reduction than the individual predictors. The explanation is that the EHS takes into account multiple PRS of diseases with high comorbidity”. See eg Figure 3 here: …and the section of the post called “Antagonistic Pleiotropy” for more. However, this paradoxical benefit is only true for a few conditions like diabetes - for everything else, selecting on health index does better than you would naively think, but still does not decrease the risk of a given condition as much as selecting against that condition directly. 3That is, new mutations in that particular baby, as opposed to older mutations already present in the parents. 4Conflicts of interest: I have used Orchid’s and Herasight’s products on my own embryos (not the ones used to conceive my existing kids, but for a potential third child), employees of Genomic Prediction and Herasight have been extremely helpful in contributing expertise to ACX posts on genetics, and I might invest in this field at some point (though haven’t done so yet). This post started as Herasight asking me to write about their white paper, then spiraled out of control. There were some unexpected time pressures and the result is that I didn’t get a chance to run everything in Herasight’s white paper by their competitors as thoroughly as I would like. Although I talked to representatives of all four companies profiled here, I feel like this probably reflects Herasight’s perspective better than other companies’, and that this is a major flaw. If other companies have responses, I’ll publish them. Thanks to all companies involved for their assistance on this article. Finally, I am favorably disposed toward Herasight because of how I learned about them: a professor named Jonathan Anomaly got cancelled from Penn for being too gung-ho about genetic enhancement, and used his newfound freedom to join a very-early-stage Herasight, raise their ambitions, and sell everyone (including me) on the idea. I grew up on a diet of books and movies about mad scientists, and I’m a sucker for a story about a guy named Doctor Anomaly pursuing revenge against the small-minded fools who destroyed his career by creating a race of superbabies. 5The version of the tool I looked at said 5.9 points for five embryos, up to 9 points for twenty embryos. The version of the tool on their current said says 5.3 - 9, so they might have recalculated after I finalized this article. 6Used in quotation marks because these scores were fine for the predictive tasks they were applied for - they just weren’t finding genes that directly caused the outcome of interest. 7Conflict of interest notice: this table was originally unadjusted. A representative of Herasight claimed that this was unfair, because each company used slightly different reporting conventions, and offered to correct for this in a neutral way. I retraced their reasoning, confirmed that the correction did not especially benefit Herasight at the expense of other companies, and accepted the correction. The original unadjusted table is below: Herasight was insufficiently comfortable with Nucleus’ methodology to even be willing to posit a corrected value, so I left their self-reported value in gray. 8Zagorsky (2007) says an extra IQ point means $234-$616/year in higher salary. The midpoint of $425 equals $670 in today’s dollars; assuming a forty-year career, Nucleus’ +1 point estimate is worth $26,800 (vs. $9,249 Nucleus cost) and Herasight’s +6 point estimate is worth $160,800 (vs. $53,250 Herasight cost). 9As part of researching this article, I asked all four major companies about their within-family validation strategies. Here are some details: Genomic Prediction discusses their strategy in this paper. The results are complicated to interpret - the within-family numbers often have such wide error bars that they overlap with both the across-family numbers and with zero - but looking qualitatively it seems like most scores on average lose about 25% of their risk reduction ability (though averages might not be the right way to do this, and some might be much more affected than others). Their website reports unadjusted, not within-family validated numbers; GP says they say this clearly on their site (which is true), Herasight counters that they still present their numbers as applicable to embryo selection (which is also true). To get the most applicable-to-embryo-selection numbers, you might want to adjust GP’s stated numbers down somewhat; it’s hard to say exactly how much, but maybe 20 - 25%?
Brownian motion

Brownian motion is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 03, 2021 and November 18, 2021. The archive places it in contexts such as "Einstein’s annus mirabilis, when he published papers on Brownian motion"; "Einstein proposed that this Brownian motion resulted from the random movements of atoms". It most often appears alongside Einstein, Scott, 23andme.

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Brownian motion
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June 03, 2021 · Original source
When a field is established, you can get a lot done by making relatively obvious inferences and running cheap tests. (I’m not sure what share of the patents in the above graph were physics-related but it seems notable that 1905 was Einstein’s annus mirabilis, when he published papers on the photoelectric effect, Brownian motion, and special relativity). After that, you reach the questions you can only resolve by smashing particles into each other in a 10-kilometer long tube, or by buying millions of dollars’ worth of GPUs so you can check how much better neural networks do if you just let them have a billion parameters.
November 18, 2021 · Original source
The trouble is that this isn't how science worked, back when it worked. One person would notice something funny--not necessarily a theoretical problem; often a pure disinterested observation of just the type Popper claims is impossible, such as when Robert Brown published a paper basically saying "Microscopic particles in my tea keep jostling around as if they were alive". Another person might propose a hypothesis, as when Einstein proposed that this Brownian motion resulted from the random movements of atoms. Then a third person might propose a test, and a fourth might conduct the proposed experiment and report the results. This entire process sometimes took a century or more.
brutalism

brutalism is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 04, 2024 and December 04, 2024. The archive places it in contexts such as "postmodernist brutalist whatever"; "they’ll correct me - 'Oh, I’m sure you don’t like Brutalism'". It most often appears alongside America, Germany, postmodernism.

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brutalism
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October 04, 2024 · Original source
I am no fan of medieval theocracy. But I do have a weakness for the 1880 - 1930 period of fin de siecle culture, Art Nouveau, economic liberty, and progressophilia. This period wasn't very religious - Nietzsche had already declared God dead in 1882. But the Cultural Christians would argue that such a flowering of culture and optimism could only happen within a generation or two of a Christian society. It (they would argue) contained the seeds of its own destruction, doomed to degenerate into our current postmodernist brutalist whatever. If I want the 1890s back, I shouldn't advocate the (mostly classically liberal) positions of the 1890s. I should advocate for Christianity, the only ideology under which something like those positions can be stable.
December 04, 2024 · Original source
One of my pet peeves is that when I tell a classy person I don’t like modern architecture, they’ll correct me - “Oh, I’m sure you don’t like Brutalism. But it’s unfair to hold that against the whole area. Why, surely even someone like you can appreciate the unique beauty of a von Shmendenstein, a Dazervaglik, or a Mihokushino.” Then I sheepishly admit that I’ve never heard of any of those people, and maybe I was overly hasty, and I should have been more careful and done my homework. They pat me on the head and say it’s fine.
bubonic plague

bubonic plague is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 09, 2021 and December 15, 2021. The archive places it in contexts such as "aren't they subject to the same diseases - malaria, Lyme, bubonic plague?"; "scientists suspect smallpox and the bubonic plague are trapped in Siberian ice". It most often appears alongside 1918 flu, 1918 Spanish flu, Adamo.

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bubonic plague
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June 09, 2021 · Original source
And don't bugs have eyes, limbs, organs, dimensions, senses, affections, and passions? Don't they eat the same food as us, especially if we forget to put it in the refrigerator? Aren't they subject to the same diseases - malaria, Lyme, bubonic plague? Aren't they healed by the same means? If you prick them, do they not bleed creepy black hemolymph? If you tickle them, do they not hiss? If you poison them, do they not die? And if you wrong them - say, by throwing a stone at a hornets' nest - will they not revenge?
December 15, 2021 · Original source
The Arctic also stores terrifying bugs from more recent times. In Alaska, already, researchers have discovered remnants of the 1918 flu. They actually extracted it from the cadaver of a frozen woman. that infected as many as 500 million and killed as many as 100 million — about 5 percent of the world’s population and almost six times as many as had died in the world war for which the pandemic served as a kind of gruesome capstone. As the BBC reported in May, scientists suspect smallpox and the bubonic plague are trapped in Siberian ice, too — an abridged history of devastating human sickness, left out like egg salad in the Arctic sun.
Not bubonic plague; that one is another distraction. The reason we don't get more Black Deaths isn't because yersinia pestis died off or mellowed out. It's because we have good sanitation and pest control.
The section I find interesting is the one called Climate Plagues:
Bulverism

Bulverism is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between August 04, 2022 and October 31, 2022. The archive places it in contexts such as "this process is pretty much the same thing as Bulverism and bias arguments"; "I usually hate this kind of thing (cf. Bulverism)". It most often appears alongside ACX, ESP, A Mind Without Craving.

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Bulverism
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August 04, 2022 · Original source
Examine why a belief has even come to your attention in the first place. If you inexplicably decide to investigate the possibility that a random number between one and a million will come up as 282,058, then you can dismiss it with little thought, because you had no reason to believe it in the first place. The only reason “Neom is possible” deserves scrutiny is because the Saudi government claims that it is; in order to dismiss it as absurd, I need to explain why the Saudi government would waste $500 billion on an obviously absurd idea. This is easy: their king is a megalomaniac, plus people are afraid to voice dissent. I admit this process is pretty much the same thing as Bulverism and bias arguments, which I hate and which always fail. Too bad, there is no royal road. Sometimes there isn’t even a muddy goat path.
October 31, 2022 · Original source
A few people have started speculating on why people are so reluctant to believe jhanas. I usually hate this kind of thing (cf. Bulverism), but it does describe some of my own previous reluctance so I’m going to embarassedly signal-boost it anyway. Andres Gomez Emilsson has a Twitter thread about this, but the one that stood at most to me was:
Bush years

Bush years is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 04, 2021 and June 24, 2022. The archive places it in contexts such as "neoconservatism of the Bush years is the beginning of the next phase of neoliberalism"; "The Bush Years". It most often appears alongside Afghanistan, Bush, China.

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Bush years
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May 04, 2021 · Original source
But there is a more sinister interpretation of this paradox. If we lay aside, as I believe we must, the claim that neoliberalization is merely an example of erroneous theory gone wild (pace the economist Stiglitz) or a case of senseless pursuit of a false utopia (pace the conservative political philosopher John Gray), then we are left with a tension between sustaining capitalism, on the one hand, and the restoration/reconstitution of ruling class power on the other. If we are at a point of outright contradiction between these two objectives, then there can be no doubt as to which side the current Bush administration is leaning, given its avid pursuit of tax cuts for the corporations and the rich. Furthermore, a global financial crisis in part provoked by its own reckless economic policies would permit the US government to finally rid itself of any obligation whatsoever to provide for the welfare of its citizens except for the ratcheting up of that military and police power that might be needed to quell social unrest and compel global discipline.
Harvey says that US spending is growing out of control. The Bush administration’s wars and tax cuts for the rich create an unsustainable situation. Foreign countries are currently funding this by buying US debt, but the interest will soon spiral out of control. Americans will get increasingly angry as foreigners own more and more of the country, America will have less and less ability to service its debts, and “it is unthinkable but not impossible that the US will become like Argentina in 2001 overnight”. For example:
The imbalances seem not to trouble the Bush administration, judging by cavalier statements to the effect that the current account deficit, if it is a problem, can easily be dealt with by people buying US-made goods (as if such goods are readily available and cheap enough and as if nominally US-made goods do not have a high foreign-input component). If this really happened then Wal-Mart would be put out of business. The budget deficit, Bush says, can easily be dealt with without raising taxes by curbing domestic programmes (as if there are any large discretionary programmes left to dismantle). Vice-President Cheney’s remark that ‘Reagan taught us that budget deficits do not matter’ is alarming, because what Reagan also taught is that running up deficits is a way to force retrenchment in public expenditures and that attacking the standard of living of the mass of the population while feathering the nests of the rich can best be accomplished in the midst of financial turmoil and crisis. If, furthermore, we ask the general question, ‘Who has actually benefited from the numerous financial crises that have cascaded from one country to another in wave after wave of catastrophic deflations, inflations, capital flights and structural adjustments since the late 1970s?’, the weak commitment of the current US administration to fending off a fiscal crisis in spite of all the warning signs becomes more readily understandable. In the wake of a financial crash, the ruling elite may hope to emerge even more empowered than before.
June 24, 2022 · Original source
funding movements, as in the case of neoconservatives who pushed for Saddam’s overthrow, the movement was spearheaded by PNAC (created by Lockheed Martin) lobbyists who would go on to become Bush administration officials like Rumsfeld, Wolfowitz, Cheney and Weber;
Counterinsurgency (COIN) In the case of Afghanistan, the Bush administration was so eager to go to war it avoided any other options. No evidence has ever emerged that Taliban (the political faction that ruled Afghanistan at the time) itself knew about the 9/11 attacks, much less planned it; the Afghan ambassador to Pakistan condemned the attacks on 9/12. “We don’t negotiate with terrorists” became the standard American line — before the war began, Taliban was willing to discuss bin Laden’s fate but the White House Chief of Staff refused; after the war began, Taliban was willing to hand over bin Laden to a third country for trial but White House refused just the same. In the case of Iraq, Bush was so eager to, in his own words, “Fuck Saddam, We’re taking him out” as early as February 2002 (and floated the idea of invading Iraq to Tony Blair), that on 9/17 Bush told his cabinet “I believe Iraq was involved, but I’m not gong to strike them now. I don’t have the evidence at this point.” The administration couldn’t find any evidence directly tying Saddam to 9/11, so they settled on the now-discredited lies of WMDs and “ties” between al-Qaeda and Iraq. “We don’t negotiate with terrorist”’ extended to the non-terrorist Saddam — before the war, Saddam was cooperating with the International Atomic Energy Agency; after the war began, Saddam was willing to accede to practically all Amercan demands but White House refused communication just the same. Just like in Afghanistan, the Bush administration had no interest in exploring any other option short of war. Two feuding factions within the Bush administration had little contact with each other: the war hawks (neocons like Cheney i.e. products of Lockheed Martin), supported by the Pentagon, did not want to do nation-building; those partial to nation-building (the State Department) did not want war. Bush agreed with the former at the start of the war, but once Saddam was removed, sided with the latter. The postwar plan for Afghanistan was officially determined by the Bonn Agreement of 2001, but neither Bush nor Cheney consider it to be worthy of much thought in their memoirs despite years of hindsight; the postwar plan for Iraq lay entirely in the hands of Paul Bremer as subsequent Deputy Committee meetings on Iraq stopped being conducted — there wasn’t a single meeting to discuss disbanding the Iraqi army that left 400,000 jobless former soldiers prime for insurgency. The Iraq war dealt with no real crisis but cost the US trillions of dollars and thousands of lives, plunged Iraq into two decades of intermittent civil war — a candidate for the worst American foreign policy failure in history, but a success for the careers of Bush (who won reelection and congressional seats) and his advisors who led the US into Baghdad (who went on to work for think tanks, the World Bank, and the Trump Administration). Once again, there is no grand strategy as each party was only self-interested in short-term gains. The Earlier Obama Years As a candidate, Obama campaigned in support of the Afghanistan war, and indeed his first foreign policy decision as president was to send thousands of additional troops to Afghanistan, largely due to overwhelming political pressure from top generals like Petraeus and McChrystal who boxed Obama into sending more troops by limiting the options presented to Obama, blatantly lobbying in press interviews, and threatening dire consequences like resigning from commanding troops in Afghanistan. We know Obama was hesitant as he announced at the same time that American troops would begin withdrawal in July 2011 (by 2015 he announced that American troop presence would stay in Afghanistan indefinitely). Obama’s second decision was to bomb al-Qadhafi in the name of Libyan regime change, due to domestic but this time also international political pressure from the heads of France and the UK who would face political embarrassment if Qadhafi’s regime, despite months of bombing and sanctions by the US-led coalition, recaptures the rebel-held Benghazi. NATO forces bombed al-Qadhafi’s convoy. Ten days after the killing of the dictator, the bombing campaign ended, and the subsequent decade of intermittent civil war faded from the American consciousnesss. Obama’s third decision was to cripple Assad’s regime in Syria with sanctions and by arming and training rebels, again due to overwhelming political pressure from hawkish ‘foreign policy community’ who still criticise Obama for having ‘done nothing’ despite spending $1 billion through the CIA and $500 million through the Pentagon, and crushing the Syrian economy. Top officials in the Obama administration admitted that assisting rebels would not change the course of war, nor was there any way to prevent arms from ending up in the hands of ISIS and al-Qaeda. Indeed, the Syrian civil war only got bloodier with American involvement. The Later Obama Years Obama’s first major decision was the war on ISIS with the reentry into Iraq from which all American troops withdrew just a few years ago in 2011, due to overwhelming political pressure and in the face of a potentially humanitarian catastrophe (ISIS was going to massacre the Yazidi religious sectarians in Mount Sinjar). This time, the United States would roll back all territorial gains of the Islamic State by working with the Iraqi government, Shia militias in Iraq, and the Kurdish-led Syrian Democratic Forces. Obama’s second decision was signing the Joint Comprehensive Plan of Acton (JCPOA) with Iran to stop its nuclear weapons programme in exchange for UN and EU sanctions to be lifted, $100 billion in assets seized by the US to be returned to Iran, and the US to stop implementing secondary or third-party sanctions. This time, Obama faced unusually significant pressure from Congress which passed the Iran Nuclear Agreement Review Act by overwhelming majority to be able to revoke JCPOA, but Obama signed JCPOA with Iran nonetheless as enough Democrats would be able to sustain a veto. This was the one and only decision that made sense from the perspective of classical IR theory — American leaders doing things they think are right for the country without a clear political payoff. Indeed, the Iranian nuclear agreement is the exception that proves the rule of public choice, as the deal was only possible near the end of Obama’s second term, and at the end cancelled by Trump upon entering office — a president’s foreign policy accomplishment made without the support of concentrated interests only lasted as long as his administration. 6. Learning From American Foreign Policy Failures IR theorists widely acknowledge that it was a mistake to invade Vietnam and Iraq, and even the war in Afghanistan went on for too long even if it was originally justified, but these scholars have yet to comprehend the shortcoming of the unitary actor model in accounting for the lack of rational cost-benefit analysis. Comparing the pre-invasion GDP of the countries to what the US has sacrificed (even setting aside the number of lives lost), the GDP-to-money-spent ratio has been 1:74 in South Vietnam, 1:43.3 in Iraq, and a staggering 1:396 in Afghanistan. In other words, the United States has spent in Afghanistan the equivalent of that country’s level of production for close to four centuries. Cost-benefit analysis also fails outside the major wars: NATO, despite the collapse of the USSR, is willing to absorb practically any country including states that can drag the US into war without contributing anything to American security; the military expenditure in Japan and South Korea, despite anti-China talks in Washington, are either flat or declining. While an utter failure in humanitarian and economic terms, American foreign policy has a been a resounding “success” from the public choice perspective: Lockheed Martin received $36 billion in government contracts in 2008 alone (more than any company in history)
Get rid of the regime The theory falls apart because citizens still need to overcome the collective action problem; regime elites, almost by definition, benefit from the current regime; regimes prioritise paying for security forces over domestic population; and rival powers come to the rescue. As empirical research clearly shows, sanctions are the most brutal and harmful when they have the least likelihood of success. Step 1 of causing economic hardship certainly succeeds — UN sanctions were associated with an aggregate GDP reduction 25% of GDP per decade; US sanctions were associated with a 13.4% decline over seven years. Beyond the destruction of wealth of innocent citizens, sanctions cause excess deaths due to starvation and brutalising ever more desperate regimes that engage in mass killing to repress domestic protests — six-figure infant deaths in Iraq; 1,000 infant deaths per month in Haiti, 40,000 excess deaths in Venezuela in 2017-2018 alone; 38% of Syrian population unable to meet basic food requirements in 2018. Step 4 of regime change has yet to happen as a result of the harshest sanctions against Cuba since 1959, Iraq since 1998, Syria since 2011, and Venezuela since 2019. The Bush, Clinton, new Bush, and Obama administrations all stuck to a policy of not speaking with adversaries, which is the opposite of achieving foreign policy goals by providing targeted regimes a clear path towards the removal of sanctions. Once again, Hanania shows that there is no American grand strategy — sanctions are used to accomplish domestic political goals rather than foreign policy objectives. Leaders face domestic pressure to ‘do something’ about human rights violations and military aggressions abroad, and short of military intervention, sanctions is the only option beyond words of condemnation. Sanctions are an ‘easy’ option because there will be little to no domestic opposition when all the deaths and economic destruction are out of sight; out of mind. 5. The War On Terror The Bush Years After 9/11, the United States has invaded the al-Qaeda sanctuary of Afghanistan, but also the completely irrelevant Iraq. In the view of grand strategy, war is a means to accomplish national security objectives; in the view of public choice, national security objectives is a means to accomplish war (or at least a large military budget). The post hoc rationalisation of the war on terror rests on three incoherent ideologies: Antiterrorism: disproportional militarised response to terrorist attacks
bystander effect

bystander effect is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 28, 2021 and July 30, 2022. The archive places it in contexts such as "This phenomenon is called the bystander effect"; "general conclusion, called the Bystander Effect". It most often appears alongside India, 1950s influenza strain, 1977 influenza pandemic.

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bystander effect
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May 28, 2021 · Original source
Don't trust any study which hasn't been replicated Why you shouldn't stand by the bystander effect In 1964 at 3:19am Catherine Genovese was attacked in front of 38 witnesses in a nice neighbourhood in New York. For half an hour none of them did anything to help, allowing her attacker to strike again. Finally at 3:50am one calls it in. The police arrive two minutes later, but it's too late for Kitty. This phenomenon is called the bystander effect. In an experiment where subjects hear someone in trouble they rush to help, but if they know 5 other subjects are also listening in only 62% of them do - it's someone else's problem. If Kitty had awakened only one person she might still be alive. Except that once again I've told you how Kitty Genovse's murder was reported, not what actually happened. Let's try again. At 3:19am Kitty's scream rings out. There aren't 38 people who hear it - it's cold, they have their windows shut, and they're asleep. 38 is the number of people the police interviewed afterwards, most of whom did not witness anything. Of those who do wake up and look out they see a woman lurching down the street, apparently drunk. Nonetheless two of them immediately call the police, who have other drunk people to deal with, and decide this isn't very important. Two people witnessed the actual attack. One did indeed do nothing. The other was scared of being picked up by the police for being drunk and homosexual in a built-up area (this was 1964), so he told a neighbour, who immediately rushed down to Kitty, heedless of the danger. Five days later Kitty's murderer was caught after a bystander noticed a man carrying a TV set out of a neighbour's house. He and a friend called the police, and disabled the man's car. And the bystander effect itself? It's real, and it replicates, for the sort of low jeopardy situations you can get an ethics committee to sign off on, but what about violent situations like Kitty's? They were unstudiable until Marie Lindegaard had the bright idea of using CCTV footage of real incidents to evaluate bystander behaviour in violent situations. In these high stakes situations bystanders intervene 9 times out of 10, with the rate of intervention rising if there are more bystanders. In the studies bystanders were prevented from interacting, but in real life where they can communicate bystanders exhibit spontaneous team work. I guess I need to add 'don't trust the New York Times' to my list of lessons learned (apparently they sometimes threaten to do other bad stuff as well). Part 3: Against Empathy, God and Civilisation Empathy is too narrow The German infantry of WWII was perhaps the most impressive in history. Martin Van Creveld has calculated that the average German solider inflicted 50% more causalities than his allied counterpart. The Italians in Africa hated them, yet admitted they would have been crushed by the British if not for them. When the Soviets were rolling up their eastern frontier, and allied armies had successfully landed across France it was pretty clear that Germany was toast, but they fought on with astonishing tenacity, and a shockingly low desertion rate. Trying to figure out how to break the German morale, allied psychologists interviewed German POWs. Were they motivated by patriotism? A belief in Nazism? A mistaken belief that this war could still be won? An indoctrinated hatred of Jews? No, the secret was friendship. The Germans had a tremendous 'marital ethos', placing a high value on loyalty, camaraderie and self-sacrifice. Ideology was present, but entirely secondary. Bregman speculates that the German army was better because the friendships of its soldiers were stronger, but admits this is only speculation: interviews of British and American soldiers produced the same results. His key point is that empathy - such as feeling for your fellow soldier - can be a force for evil rather than good, because we can't be empathetic for all humans, only for ones we 'see'. He quotes Professor Paul Bloom who has written a book. "It's about empathy," he says. "I'm against it." (The book is subtly titled Against Empathy). Experiments on babies and toddlers show that they are generally eager to help, but easily manipulated. There's an experiment that shows babies two puppets, one being helpful and the other being mean. After the show all the babies want the helpful one, but show the mean puppet sharing their preference between crackers and green beans, and suddenly they'll take that one over one that was helpful but different from them. Adults are not beyond a bit of empathy manipulation either. People were told the sad story of Sheri Summers, a 10 year in need of a transplant. Would they bump her up the list, ahead of other people whom they knew nothing about, but the doctors who ordered the list believed were better candidates? No, on the whole they wouldn't. Then they took another group given the same scenario, but with the additional instruction to imagine how she felt. Suddenly the majority were up for throwing justice and rationality to the wind (it'd be nice to check whether the effect moved from just below half to just above, but the paper is behind a paywall). Power kills empathy 500 years ago Machiavelli literally wrote the book on how to use immoral means to maintain power. Today this approach is called 'realism', reflecting the confusion between real and cynical with which Humankind began. The Prince has maintained its fame ever since, but being old and famous are no guarantees of being correct, see for example Aristotle on physics, race or women (but don't fall into the trap of thinking Aristotle was wrong about everything - that man was prolific). When Professor Dacher Kelter started working on the psychology of power in the 90s he noticed two things: Everyone assumed Machiavelli was right
July 30, 2022 · Original source
[1] Latané and Darley (1968). I couldn’t find any positive or negative replications of this exact experiment, but the general conclusion, called the Bystander Effect, has been extensively replicated.
Byzantine

Byzantine is a recurring concept in the Astral Codex Ten archive, appearing 2 times across 2 issues between August 30, 2024 and September 24, 2024. The archive places it in contexts such as "a treatise on the Devil by Psellus, a Byzantine author"; "Described aspect of Byzantine military doctrine". It most often appears alongside 38 Onslow Gardens, A Collection Of Unmitigated Pedantry, A Memoir of the Right Hon. William Edward Hartpole Lecky By His Wife.

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Byzantine
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August 30, 2024 · Original source
He graduated in 1859. Having inherited the family’s lands by this time, he was under no obligation to work, and, as he later wrote, “For four or five very happy years after I left college I lived in almost complete solitude and in pure thought.” He traveled all over Europe, holing up in libraries, and reading obscure tomes, e.g., “I have been gathering together a large and rare library of old Latin and French books on witchcraft…I am waiting with great impatience for a treatise on the Devil by Psellus, a Byzantine author of the eleventh century, having got which, I mean to go to a little village in the mountains [the Pyrenees] till I have mastered it.” Already a thinker, but in dread of being considered an idler, Lecky decided to become an author.
September 24, 2024 · Original source
There’s a Twitter meme on how men constantly think about the Roman Empire. Some feminist friends objected that women think about Rome a lot too. To settle the matter, I included a question about this on this year’s ACX survey, “Have you thought about the Roman Empire in the past 24 hours?” (the Byzantine Empire also counted). Here are responses from 607 cis women and 4,925 cis men:
Described aspect of Byzantine military doctrine to my girlfriend.
B-2 stealth bomber

B-2 stealth bomber is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 20, 2023 and June 20, 2023. The archive places it in contexts such as "The ancient Romans build a B-2 stealth bomber". It most often appears alongside AGI, Ajeya Cotra, ancient Romans.

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B-2 stealth bomber
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June 20, 2023 · Original source
DALL-E: “The ancient Romans build a B-2 stealth bomber.” I’m not sure how stealthy this would be, but it’s not like the Visigoths have great radar. Wait, say the believers. The superintelligent AI doesn’t need to wait for humans to advance to the tech level where they can build its starship. If it’s so smart, it can design starship-factory-building robots! If the starship needs antimatter, it can design antimatter-factory-building robots! And so on.
B117 strain

B117 strain is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 16, 2021 and February 16, 2021. The archive places it in contexts such as "the more contagious B117 strain from the UK". It most often appears alongside AIDS, AZ, Brazil.

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B117 strain
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February 16, 2021 · Original source
A fourth wave may hit in March, when the more contagious B117 strain from the UK takes over. Expect more shelter-in-place orders, school shutdowns, and a spike in cases at least the size of July's, maybe December's. That will last until May-ish, when the usual control system (more virus -> stricter lockdowns -> less virus -> looser lockdowns -> more virus) moves back into the "less virus" stage. Also coronavirus is seasonal and summer isn't its season. Also by that time a decent chunk of the population will be vaccinated. The worst consequences of the UK strain should burn themselves out by late spring.
[EDIT: some people link new studies saying the B117 strain is less virulent than previously believed, and the US has been getting much better at vaccination since I checked, probably my prediction above is too high and we should worry less about this]
Ba'hai

Ba'hai is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 28, 2022 and July 28, 2022. The archive places it in contexts such as "I am not and have never been a Ba'hai, but it's worth sharing two elements of the Ba'hai faith". It most often appears alongside 1970s World Bank initiatives in Lesotho, Alex, archpawn.

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Ba'hai
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July 28, 2022
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July 28, 2022
July 28, 2022 · Original source
I am not and have never been a Ba'hai, but it's worth sharing two elements of the Ba'hai faith. Note that these are ideals, not necessarily practiced by the average adherent.
1) The Ba'hai believe that Abrahamic religion is still evolving, and has not yet reached its perfect form. So Judaism, Christianity, Islam, and maybe even the Ba'hai faith itself, are true, but incomplete. In this sense the religion very much shares a good quality with EA: it is not settled, may never be settled, and is open to change and improvement.
2) The Ba'hai prophet Baha'u'llah (the principle prophet, more or less like Muhammad) explicitly instructed his followers not to proselytize or force their faith on others. In practice, this is often ignored, but it is also often followed; my two Ba'hai friends did not tell me their religion, and when I found out and asked them about it, each one expressed reluctance to tell me unless I was really interested from my own will.
Ba'hai faith

Ba'hai faith is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 28, 2022 and July 28, 2022. The archive places it in contexts such as "Note that these are ideals, not necessarily practiced by the average adherent. 1) The Ba'hai believe that Abrahamic religion is still evolving". It most often appears alongside 1970s World Bank initiatives in Lesotho, Alex, archpawn.

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Ba'hai faith
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July 28, 2022 · Original source
I am not and have never been a Ba'hai, but it's worth sharing two elements of the Ba'hai faith. Note that these are ideals, not necessarily practiced by the average adherent.
1) The Ba'hai believe that Abrahamic religion is still evolving, and has not yet reached its perfect form. So Judaism, Christianity, Islam, and maybe even the Ba'hai faith itself, are true, but incomplete. In this sense the religion very much shares a good quality with EA: it is not settled, may never be settled, and is open to change and improvement.
Baal

Baal is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 06, 2022 and June 06, 2022. The archive places it in contexts such as "All the demons of Mara and Baal". It most often appears alongside Amherst, Brooklyn, Lands of Zuck.

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Baal
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June 06, 2022 · Original source
This invincible mantra will banish All the demons of Mara and Baal When spoken, all troubles vanish When thought, all sorrows fall It's a sword that cuts through illusion And burns it to the quick Inscribe it upon your forehead: It's bad on purpose to make you click.
Baby Boomer

Baby Boomer is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 06, 2026 and January 06, 2026. The archive places it in contexts such as "62 have Baby Boomer presidents". It most often appears alongside @docneto, Americans, Andy G.

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Baby Boomer
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January 06, 2026
January 06, 2026 · Original source
One example of such an “iron grip” from my colleague Eric Weinstein: Of the 67 top research universities in the US, 62 have Baby Boomer presidents (three are Silent Generation and only two are Generation X). Today, the median age of these 67 university presidents is 65 years-old... And this is very different from the recent past. Only thirty years ago, in 1990, the median age of these same university presidents was a much lower 52-years old; the older generation did not completely refuse to give up power; and therefore much greater generational diversity was to be found in university leadership.”
[original post: Against Against Boomers]
Boomers had it much easier than later generations.
Baby Boomers

Baby Boomers is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 11, 2026 and February 11, 2026. The archive places it in contexts such as "In my post on Baby Boomers, I argued against claims that America keeps raising taxes on the young". It most often appears alongside Afghan-Americans, Afghanistan, Black Lives Matter.

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Baby Boomers
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February 11, 2026 · Original source
In my post on Baby Boomers, I argued against claims that America keeps raising taxes on the young so it can award larger pensions to the old (in fact, Social Security payouts per person have become less generous over time, not more - although total subsidies to the elderly are rising because of increasing longevity and health insurance costs). Several European readers wrote in to say that, whether or not this is happening in America, it definitely happens in Europe:
Sokow:
Scott seems genuinely confused about the origin of alot of Boomer hate, which is explicitly tied to European welfare systems and how they redistribute money away from young middle class earners into the pockets of the wealthiest generation, i.e. Boomers by means of pension transfers.
Babylonian

Babylonian is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 22, 2023 and February 22, 2023. The archive places it in contexts such as "Babylonian texts include sa-zi-ga , incantations against witchcraft-induced impotence". It most often appears alongside Africa, Agin, American.

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Babylonian
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February 22, 2023
February 22, 2023 · Original source
Nobody knows when the penis-stealing witches began their malign activities. Babylonian texts include sa-zi-ga, incantations against witchcraft-induced impotence. Ancient Chinese sources describe suo yang, the penis retracting into the body because of yin/yang imbalances. But the first crystal-clear reference was the Malleus Maleficarum, the 15th-century European witch-hunters’ manual. It included several chapters on how witches cast curses that apparently (though not actually) remove men’s penises.
Babylonian Empire

Babylonian Empire is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 22, 2025 and October 22, 2025. The archive places it in contexts such as "The winged lion would have been recognizable to Daniel’s audience as a symbol of the Babylonian Empire". It most often appears alongside 10th century, 19th Century, A16Z.

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Babylonian Empire
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October 22, 2025
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October 22, 2025 · Original source
Winged Lion = OpenAI, founded by Sam Altman (Jewish). The winged lion would have been recognizable to Daniel’s audience as a symbol of the Babylonian Empire; Daniel was writing during the Babylonian Captivity, when there was no independent Israeli state and all Jews lived in Babylon.
Babylonian mythology

Babylonian mythology is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 17, 2023 and November 17, 2023. The archive places it in contexts such as "As in Babylonian and Norse mythology". It most often appears alongside Abel, Adam and Eve, America.

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Babylonian mythology
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November 17, 2023
November 17, 2023 · Original source
He contrasts this with the Bible. Lots of Bible stories also fit the pattern. As in Babylonian and Norse mythology, the world begins with a primordial murder: Cain kills Abel. But the clearest example is the story of Joseph and his brothers. Joseph’s brothers grow jealous of him, coveting his beautiful multi-colored coat. They form a mob, gang up on him, and are about to kill him, when a slave caravan comes by and they decide to sell him as a slave instead. Then Joseph becomes as close to a god as the monotheistic Israelites are willing to accept (Prime Minister of Egypt) and founds the next stage of Israelite civilization as some kind of culture-hero figure.
Bacchanalian revels

Bacchanalian revels is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 05, 2024 and July 05, 2024. The archive places it in contexts such as "His house in Bacchanalian revels". It most often appears alongside 1812, Ada, Albania.

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Bacchanalian revels
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July 05, 2024
July 05, 2024 · Original source
He found his house in Bacchanalian revels, Where dancers whirled, wine flowed from every urn, Pipes played, and fruits were stacked in bulging levels; They’d heard reports that (so he soon would learn) His soul was now his Maker’s — or the Devil’s — And once they’d mourned, their mistress, newly boasting Her father’s wealth, had gaily turned to hosting.
Backpropagation

Backpropagation is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 14, 2021 and April 14, 2021. The archive places it in contexts such as "Backpropagation is an algorithm involved in most modern machine learning / AI". It most often appears alongside artificial intelligence, Less Wrong, lsusr.

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Backpropagation
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April 14, 2021
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April 14, 2021
April 14, 2021 · Original source
Backpropagation is an algorithm involved in most modern machine learning / AI. If you create a neural net and “train it” by feeding it problems and answers, the backpropagation algorithm tells you how to make the answers “flow backward” through the model to produce the set of weights that would have made the model predict them. Hopefully this makes the model generally good at solving that class of problem, and then you can feed it new problems you want it to solve.
[epistemic status: I know a little about the predictive coding side of this, but almost nothing about backpropagation or the math behind the unification. I am posting this mostly as a link to people who know more.]
This is a link to / ad for a great recent Less Wrong post by lsusr, Predictive Coding Has Been Unified With Backpropagation, itself about a recent paper Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs.
Backscratcher Clubs

Backscratcher Clubs is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 14, 2024 and November 14, 2024. The archive places it in contexts such as "cf. Backscratcher Clubs". It most often appears alongside 1 Corinthians 6, America, Axelrod.

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Backscratcher Clubs
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November 14, 2024
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November 14, 2024
November 14, 2024 · Original source
Then do whatever your opponent did last round. This was so boring that Axelrod sponsored a second tournament specifically for strategies that could displace TIT-FOR-TAT. When the dust cleared, TIT-FOR-TAT still won - although some strategies could beat it in head-to-head matches, they did worst against each other, and when all the points were added up TIT-FOR-TAT remained on top. In certain situations, this strategy is dominated by a slight variant, TIT-FOR-TAT-WITH-FORGIVENESS. That is, in situations where a bot can “make mistakes” (eg “my finger slipped”), two copies of TIT-FOR-TAT can get stuck in an eternal DEFECT-DEFECT equilibrium against each other; the forgiveness-enabled version will try cooperating again after a while to see if its opponent follows. Otherwise, it’s still state-of-the-art. The tournament became famous because - well, you can see how you can sort of round it off to morality. In a wide world of people trying every sort of con, the winning strategy is to be nice to people who help you out and punish people who hurt you. But in some situations, it’s also worth forgiving someone who harmed you once to see if they’ve become a better person. I find the occasional claims to have successfully grounded morality in self-interest to be facile, but you can at least see where they’re coming from here. And pragmatically, this is good, common-sense advice. For example, compare it to one of the losers in Axelrod’s tournament. COOPERATE-BOT always cooperates. A world full of COOPERATE-BOTS would be near-utopian. But add a single instance of its evil twin, DEFECT-BOT, and it folds immediately. A smart human player, too, will easily defeat COOPERATE-BOT: the human will start by testing its boundaries, find that it has none, and play DEFECT thereafter (whereas a human playing against TIT-FOR-TAT would soon learn not to mess with it). Again, all of this seems natural and common-sensical. Infinitely-trusting people, who will always be nice to everyone no matter what, are easily exploited by the first sociopath to come around. You don’t want to be a sociopath yourself, but prudence dictates being less-than-infinitely nice, and reserving your good nature for people who deserve it. Reality is more complicated than a game theory tournament. In Iterated Prisoners’ Dilemma, everyone can either benefit you or harm you an equal amount. In the real world, we have edge cases like poor people, who haven’t done anything evil but may not be able to reciprocate your generosity. Does TIT-FOR-TAT help the poor? Stand up for the downtrodden? Care for the sick? Domain error; the question never comes up. Still, even if you can’t solve every moral problem, it’s at least suggestive that, in those domains where the question comes up, you should be TIT-FOR-TAT and not COOPERATE-BOT. This is why I’m so fascinated by the early Christians. They played the doomed COOPERATE-BOT strategy and took over the world. II. Matthew 5: You have heard that it was said, ‘Love your neighbor and hate your enemy.’ But I tell you, love your enemies and pray for those who persecute you . . . If you love those who love you, what reward will you get? Are not even the tax collectors doing that? And if you greet only your own people, what are you doing more than others? Do not even pagans do that? Talk is cheap, but The Rise Of Christianity suggests the early Christians pulled it off. For example, even though pagan institutions would not help indigent Christians, Christians tried to give charity to Christian and pagan alike, even going so far as to help nurse pagans during the plague (when nursing a victim conferred a high risk of contagion and death). Even Emperor Julian, an enemy of Christianity, admitted it lived up to its own standards: When the poor happened to be neglected and overlooked by the priests, the impious Galileans observed this and devoted themselves to benevolence . . . [they] support not only their poor, but ours as well, [when] everyone can see that our people lack aid from us.” In 1 Corinthians 6, Paul is asked whether it is acceptable for one Christian to pursue a lawsuit against another Christian in a pagan court. He answers: The very fact that you have lawsuits among you means you have been completely defeated already. Why not rather be wronged? Why not rather be cheated? We get a similar picture from the stories of the martyrs. Many of them prayed for the Romans while the Romans were in the process of torturing and killing them; Polycarp even cooked them a meal. If the Christians had merely been TIT-FOR-TAT, it would be easy to tell a story of their victory. The Roman Empire was corrupt and decadent to the core. People were looking for a community they could trust. Christianity offered access to a better class of friends who wouldn’t immediately rob or betray you when your guard was down. By providing a superior alternative to the low-trust pagan world, it was irresistible on a purely rational economic basis. But this story sounds more worthy of the mystery cults. Mystery cults are a great structure for mutual aid; we see this today in groups like the Freemasons (cf. Backscratcher Clubs). Everybody knows who’s on the inside (and needs to be mutually aided) and who’s on the outside (and can be ignored). The initiatory structure holds off freeloaders and makes sure the people on the inside are of approximately equal rank (so that you get as many benefits as you give) and can be held accountable if they don’t contribute. Since Christianity did better than the mystery cults, there must have been some reason that COOPERATE-BOT beat TIT-FOR-TAT in the particular environment of Roman religion, defying all normal game theoretic logic. III. Is this a consistent feature of COOPERATE-BOT strategies, or was it just luck? This is hard to say, because in all normal cases it’s impossible to follow a COOPERATE-BOT strategy at scale and for any period of time. Consider the Quakers, who gave it a better try than most. They were persecuted by the British and fled to America (is this kosher? it sort of seems like resisting evil). There they founded the colony of Pennsylvania, intended to be a utopia of pacifism and benevolence. They were very serious about this; history records many Quakers who were arrested or even killed rather than compromise their principles, and the British Crown seized Pennsylvania from the Quakers a few times because they wouldn’t make extremely cheap gestures like pay taxes or swear oaths. But in the end, the Crown frog-boiled the Quakers into compliance. They promised to return self-government if the Quakers would budge an inch - in one compromise, if they agreed to pay taxes that could go to non-combat functions of the military. The Quakers eventually agreed, and the British ratcheted up their demands the next time. Finally, in 1755, some Indians launched a major assault on Pennsylvania, and all the Quakers voluntarily resigned from government to let the non-Quaker Pennsylvanians (who by this time outnumbered them) conduct the war without restraint. The Quakers performed better than most COOPERATE-BOTs. They stuck to their principles most of the time, and in the end their religion survived. But look deeper, and you see a gradual process of surrender to reality. First was the flight to America, an implicit admission that living was better than being martyred for the faith. Then came the various compromises; an implicit admission that getting to keep self-government while being 99% pure was better than being subjects while 100% pure. Finally, they gave up Pennsylvania itself rather than be wiped out, again choosing the practical option over martyrdom. My point isn’t to knock the Quakers, who may come in a close 2nd in “historical groups that stuck to their cooperative principles despite all odds” and were certainly more ethical than I am. My point is that even very committed groups of religious fanatics fail the non-violent COOPERATE-BOT strategy eventually. Or maybe the ones who didn’t fail were wiped out? I hear good things about the Cathars, but we can’t know for sure because they were very thoroughly killed off - unrepentant to the last. Are there any other groups who deserve mention in this section besides early Christians, Quakers, and Cathars? I think some German and Russian sects have tried similar strategies, though they mostly failed and I don’t know much about them. Not exactly the same, but maybe rhyming: what about modern liberalism? To the monarchs and dictators of the past, free speech might seem kind of like COOPERATE-BOT in a limited domain: the idea that elites shouldn’t make any forceful/legal effort to protect their ideological and spiritual position must sound almost as crazy as them not making any forceful/legal effort to protect themselves if attacked, or to prevent themselves from getting cheated. It is, in some sense, a unilateral surrender in the war of ideas; fascists and communists will do their best to crush liberalism, but liberals cannot ban discussion of fascism or communism. The fact that this, too, has worked, makes me think early Christianity wasn’t just a one-off, but suggests some larger point. IV. Still, I don’t really know what it is. Here are some weak theories: Advertisement: Being kind to outsiders is good PR and encourages those outsiders to join you. This effect is stronger than the corresponding disincentive (that they won’t get much better treatment than they’re getting already, and they will have to be nice to other outsiders in their turn).
Backscratchers Clubs

Backscratchers Clubs is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 11, 2024 and July 11, 2024. The archive places it in contexts such as "the Backscratchers Clubs seemed suspiciously like clubs/cults/ideologies". It most often appears alongside Americans, Backscratchers Club, Board of Trustees.

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Backscratchers Clubs
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July 11, 2024
July 11, 2024 · Original source
What happens next isn’t obvious, at least not to me. I still find this story interesting. It makes me wonder how much real-world coalition-building is like this. Consider for example racism. There are supposed justifications for racism - like that such and such a race is inferior, or oppressive, or plotting to kill us. But another justification is just “We’re the majority and they’re the minority, and if we all band together to profit at their expense, it probably goes well for us.” Any coalition of 51%+ can do this. But it’s easier if everybody comes color-coded so there’s one obvious coalition that occurs to everybody and which they can easily check that they’re a part of. And so on to nationalism, religious conflict, political ideology conflict, and so on. II. Backscratchers Clubs After many weeks, six surviving castaways are rescued by the Coast Guard. The government decides not to prosecute them for the murder of their fellows, given their desperate circumstances, and they are reintegrated into society. Still, the experience has scarred them, and gotten them thinking along some weird lines.
If the Lifeboat Games seemed suspiciously like nationalism, and the Backscratchers Clubs seemed suspiciously like clubs/cults/ideologies, the stories in this section seem suspiciously like the Establishment - whether it’s the Catholic Establishment of the Middle Ages, the conservative Establishment of mid-20th-century America, or the progressive Establishment of today. Elites support each other not directly - which would be hard to coordinate - but by all supporting the same ideology. If it’s hard for non-elites to break into the ideology, then everyone with the ideology will be elites, and supporting the ideology is an indirect way of elites supporting other elites in a big backscratching network. This is one of the solutions to Class Warfare Having A Free Rider Problem.
backward castes

backward castes is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 14, 2021 and September 14, 2021. The archive places it in contexts such as "Solanki reversed the commission's stress on the definition of [backward castes] by income". It most often appears alongside Adivasis, affirmative action, Ahmedabad.

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backward castes
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September 14, 2021
September 14, 2021 · Original source
Another commission for improving the lot of sixty-three minorities and backward classes...was formed on 20 April 1982...fourteen months later, Solanki decided to implement its recommendation of an extra 18% reservations, bringing the total quota to 49%. This was inacted immediately prior to the March 1985 Gujarat assembly elections, cynically timed to boost the [minority] vote. Solanki reversed the commission's stress on the definition of [backward castes] by income and instead insisted on caste, ignoring its cut-off limit of an income of 10,000 rupees, probably to lure the relatively prosperous Kshatriyas. The result again was statewide rioting [...]
But backward castes were becoming convinced that Congress was on their side, and the effect was social polarization. As there was a majority of lower-caste voters, this suited the Congress perfectly.
Modi describes spending his years of campaign consultancy trying to figure out a way around this dynamic. You could support more and more affirmative action, stoke more and more community tensions, and get those delicious minority votes while making the majority hate you - or you could roll back affirmative action, doom backward castes and Muslims to irrelevancy, get tarred as a racist, and ruin your electoral chances.
c mice

BALB/c mice is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2024 and April 09, 2024. The archive places it in contexts such as "mixed them up with BALB/c mice". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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c mice
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1
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1
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April 09, 2024
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April 09, 2024
April 09, 2024 · Original source
This alone isn’t fatal to lab leak. It’s perfectly possible for the lab to leak (let’s say) November 5th, the virus spreads a bit, and then a month later someone goes to the wet market, coughs on a vendor, and starts the officially recognized pandemic. But if that were true, you’d expect (let’s say) 30 cases by early December. Let’s say the wet market vendor was exactly Case # 30. She infected the other wet market vendors, starting a pandemic with an obvious center at the wet market and lots of infected wet market vendors and patrons. What about Case # 29? If they were (let’s say) a barista, how come they didn’t infect people at their coffee shop? How come there wasn’t a second obvious cluster radiating out from a coffee shop, lots of coffee-shop-linked cases, etc? How come there weren’t 30 equally-sized clusters? In order to avoid this, you either need to claim that the wet market was a perfect superspreader location, or that the pattern with lots of cases in the wet market and few-to-none anywhere else was a result of ascertainment bias. Saar made both those arguments during the debate, but I thought Peter rebutted them effectively. 1.4: COVID in Brazilian wastewater Nicholas Halden (blog) writes: What should we make of this study, which found the presence of covid in Brazilian wastewater in late 2019? Consider the doubling times. The study says that scientists working in late 2020 found COVID in samples of Brazilian wastewater from November 27, 2019. This was long before the first detected case of transmission in Brazil on March 13, 2020. Between November 27, 2019 and March 13, 2020 is about 16 weeks, so 32 COVID doubling times. 32 doubling times with no lockdown is enough time for COVID to infect every single person in Brazil. If COVID had infected everyone in Brazil before the first recognized case, we would have noticed. (again, COVID doubling time isn’t exactly invariably 3.5 days, but here we’re talking about numbers big enough that the exact details don’t matter very much) So if COVID was in Brazil on November 27, it must have fizzled out instead of going pandemic. How likely is that? If one person had COVID, it’s not too unlikely - not all COVID cases transmit it forward. If (let’s say) twenty people had COVID, it’s very unlikely - at that point, the law of large numbers takes over; in a freak coincidence, every single patient would have to fail to infect anyone else. So almost certainly fewer than 20 people in Brazil had COVID in November 27. So which is more likely - that somehow 20 people had COVID long before the virus was officially detected, and on a totally different continent, yet somehow a scientist looking through wastewater found the water from exactly those people and managed to detect the virus? Or that there was a sampling error, which happens all the time in these kinds of things? Peter wrote a blog post on some of these issues. He found that there were positive tests from wastewater samples as early as March 2019, which doesn’t fit anyone’s timeline, including lab leakers’. And most of these positives (including the Brazilian sample) contained later strains of the virus with mutations it picked up late in 2020. So these were almost certainly false positives from contamination. 1.5: Biorealism’s 16 arguments Biorealism has a list of sixteen arguments, which he liked so much that he posted it three times in the ACX comments, twice on Less Wrong, twice on Manifold, and about a dozen times on Twitter under multiple account names. Some posts were slightly different from others, but a typical version is: Importantly, Miller incorrectly claimed the N501Y mutation would result from passage in hACE2 mice (mixed them up with BALB/c mice). The major papers Miller relied on have been seriously challenged since the debate. See Stoyan and Chiu (2024), Weissman (2024), Bloom (2023) and Lv et al (2024). Overall the circumstantial evidence makes lab v plausible: Peter admitted getting this wrong during the debate. I think this very minor point about mice mutations was approximately his only mistake in 15 hours of debating, and he admitted it as soon as he noticed. Biorealism somehow heard about this (obviously not through watching the debate, as we’ll see in a moment), then left about 20-30 comments starting with it, under various accounts, on various platforms, as if it somehow discredited Peter. This is making me somewhat less charitable to him and his 16 arguments than I would be otherwise. 1. Chinese researchers Botao & Lei Xiao observed lab origin was likely given the nearest known relatives to SARS-CoV-2 were far from Wuhan. Wuhan Institute of Virology (WIV) sampled SARS-related bat coronaviruses where the nearest relatives are found in Yunnan, Laos and Vietnam ~1500km away. They refuse to share their records. The ancestral viruses of SARS were found equally far from where SARS spilled over into humans, so we know it’s possible (and likely) for viruses to travel that far. 2. Patrick Berche, DG at Institut Pasteur in Lille 2014-18, notes you would expect secondary outbreaks if it arose via the live animal trade. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234839/ There are constant outbreaks of weird coronaviruses in animal handlers. See eg this paper, which estimates about 60,000 of these per year. None of these ever go anywhere, because the farmers are in rural areas that aren’t dense enough to sustain a high R0, and the epidemic fizzles out after a single digit number of cases. Any early outbreaks of COVID would have vanished into this long and mostly unnoticed list. 3. Molecular data: Only sarbecovirus with a furin cleavage site. Well adapted to human ACE2 cells. Low genetic diversity indicating a lack of prior circulation (Berche 2023). Restriction site SARS-CoV-2 BsaI/BsmBI restriction map falls neatly within the ideal range for a reverse genetics system and used previously at WIV and UNC. Ngram analysis of the codon usage per Professor Louis Nemzer https://twitter.com/BiophysicsFL/status/1667232580255490053?t=IJgitS5cw364ioclzVWxaA&s=19 The SARS2 backbone is very low in CG and CpG. While the 12-nt insert that gives it the FCS is extremely high in both. Almost as if it was some kind of chimera of a consensus sequence and a codon-optimized polybasic cleavage site? https://twitter.com/BiophysicsFL/status/1752800486837678377?t=EpIRgyybJVaPgeMP5xdstA&s=19 https://www.biorxiv.org/content/10.1101/2022.10.18.512756v1 https://link.springer.com/article/10.1007/s10311-021-01211-0?fbclid=IwAR1HMUMtLIAFOFppVasQDeoIAYrVhP8j4YoPO4wnaTOUiKLsllZl_oKryOw Most of this was discussed extensively in the second session of the debate, which I recommend. The CGG-CGG arginine codon usage is particularly unusual but used in synthetic biology. I asked a synthetic biologist about this. He said: » “Nope. I would literally never do this if I was designing a small insert (maybe I wouldn't notice if it happened by chance with ~1 in 25 odds in a naive codon optimization algorithm as part of a larger sequence). High GC% is bad. Tandem repeat is worse. Several other perfectly fine arginine codons. And I wouldn't engineer a viral genome using human codon usage. An engineer would not do it.” 4. DEFUSE full proposal: virus 20% different from SARS1, consensus seq assembled with 6 segments, without disrupting coding seq, BsmBI order, FCS. SARS2: 20% different than SARS1, 6 evenly spaced fragments w BsmBI and BsaI restriction sites, FCS. Jesse Bloom, Jack Nunberg, Robert Townley, Alexandre Hassanin have observed this workflow could have lead to SARS-CoV-2. Work often begins before funding sought or goes ahead anyway. Re: 4 - Also scattered across second section of debate, also not going to retread 5. Market cases were all lineage B. Lv et al (2024) indicates there was a single point of emergence and A came before B. So market cases not the primary cases. See also Bloom (2021), Kumar et al (2022). Peter Ben Embarek said there were likely already thousands of cases in Wuhan in December 2019.https://t.co/50kFV9zSb6 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/34398234/ https://academic.oup.com/bioinformatics/article/38/10/2719/6553661 There was a Lineage A sample in the market, lab leak proponents just try to ignore/dismiss/conspiracize it away. The first two known Lineage A cases were very close to the market. Lv (is this even a real name? It sounds like Roman numeral? But I guess that’s what you expect in a country ruled by someone named Xi) found some weird COVID variants in Shanghai that might or might not mean anything; you can see some discussion of the implications here, but I don’t think they’re strong evidence either way. If A was first, it means some really weird stuff coincidences have to happen to give us the spread rates and genetic clock data we get, but they’re not necessarily weirder in the zoonosis hypothesis than the lab leak one. The claim that there were “thousands of cases in Wuhan in December 2019” is very easy to disprove by doubling rate arguments like the one above, by the blood bank study mentioned above, by the WHO’s failed case search, and by many other lines of argument. 6. Evidence for lineage A in the market is based on a low quality sample according to Liu et. al. (2023). I really think lab leakers need to decide whether they think China is a sinister actor trying to cover up the truth, or whether they should trust every offhand comment by Chinese government officials as gospel. Dr. Liu doesn’t explain in what sense he thinks the Lineage A sample is “low-quality”, and the Western scientists who I asked about this said they didn’t understand this complaint and that the sample was fine. A Western team re-analyzing the same sample describes it as “conclusively contain[ing] Lineage A.” I think most lab leakers have switched from trying to deny the genetics to claiming that this was “contamination”, which also doesn’t make sense (the sample is genetically very early). Note that aside from this sample, the first two Lineage A cases discovered were both very close to the wet market. 7. Bloom (2023) shows market samples do not support market origin. There is also no evidence of transmission in the claimed susceptible animals elsewhere. https://academic.oup.com/ve/advance-article/doi/10.1093/ve/vead089/7504441 Discussed extensively in my article as well as the first section of the debate. 8. Lineage A and B only two mutations apart. François Ballox, Bloom and Virginie Courtier-Orgogozo note this is unlikely to reflect two separate animal spillovers as opposed to incomplete case ascertainment of human to human transmission (Bloom 2021). Discussed extensively in my article as well as the first section of the debate. 9. Sampling bias. George Gao, Chinese CDC head at the time, acknowledged to the BBC stating they may have focused too much on and around the market and missed cases on the other side of the city. David Bahry outlines the documented bias. Michael Weissman has shown this mathematically. https://journals.asm.org/doi/10.1128/mbio.00313-23 https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnae021/7632556 Re: Dr. Gao, see above comment about Chinese officials. See the section Ascertainment Bias below for why I disagree with this specific claim, which also addresses the Michael Weissman argument. 10. Spatial statistics experts show the Worobey claim the market was the early epicentre was flawed. https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnad139/7557954 Re: 10 - See Confirmation Of The Centrality Of The Huanan Market Among Early COVID-19 Cases, a response to the paper you cite: The centrality of Wuhan's Huanan market in maps of December 2019 COVID-19 case residential locations, established by Worobey et al. (2022a), has recently been challenged by Stoyan and Chiu (2024, SC2024). SC2024 proposed a statistical test based on the premise that the measure of central tendency (hereafter, "centre") of a sample of case locations must coincide with the exact point from which local transmission began. Here we show that this premise is erroneous. SC2024 put forward two alternative centres (centroid and mode) to the centre-point which was used by Worobey et al. for some analyses, and proposed a bootstrapping method, based on their premise, to test whether a particular location is consistent with it being the point source of transmission. We show that SC2024's concerns about the use of centre-points are inconsequential, and that use of centroids for these data is inadvisable. The mode is an appropriate, even optimal, choice as centre; however, contrary to SC2024's results, we demonstrate that with proper implementation of their methods, the mode falls at the entrance of a parking lot at the market itself, and the 95% confidence region around the mode includes the market. Thus, the market cannot be rejected as central even by SC2024's overly stringent statistical test. I think this response is pretty strong. In one analysis, they show that even though the other paper’s methodology is worse than theirs, if you apply it correctly (instead of inappropriately excluding various cases like the paper’s authors did), the center of all early cases in Hubei province lands on the wet market parking lot. In another analysis, they show that the other paper’s recommended tests wouldn’t have correctly pointed to the offending water pump in the famous John Snow cholera outbreak, but theirs would have. Still, I think it’s useful to supplement fancy statistics with normal common sense, so I recommend just looking at the map of early cases: …and deciding whether you think the assumptions behind a specific statistical test are likely to debunk the idea that cases are centered around the wet market. 11. Wuhan used as a control for a 2015 serological study on SARS-related bat coronaviruses due to its urban location. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178078/ I don’t know why this point is supposed to matter. If you mean that Wuhan isn’t directly exposed to bats, nobody ever said it was. The zoonotic theory is that wildlife carted in from other areas of China started the pandemic in the wet market. 12. Superspreader events also seen at wet markets in Beijing and Singapore (Xinfadi and Jurong). This was discussed very extensively in the debates, both in section 1 and section 3. Wet markets weren’t “superspreader locations” - in fact, the disease spread no more quickly there than anywhere else. They were the first place in those cities that the pandemic started, due to contaminated animal products. If anything, this supports zoonosis. See also my discussion with Saar on this point below. 13. WIV refuse to share their records with NIH who terminated subaward in 2022. Wider suspension over biosafety concerns. https://www.bloomberg.com/news/articles/2023-07-18/us-suspends-wuhan-institute-funds-over-covid-stonewalling Although WIV has not been especially forthcoming, some of their databases were leaked in various ways and showed that they did not have any viruses capable of transforming into COVID. 14. PLA involvement at WIV and MERS research prior to SARS-COV-2. MERS features several similarities with SARS-CoV-2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022351/ I can’t even tell what conspiracy theory you’re trying to propose with this one; if you spell it out I can try to explain why it might be false. 15. SARS1 leaked several times and SARS-COV-2 has leaked from a BSL-3 lab in Taiwan. Agreed that SARS leaked several times. It also spilled over from animals several times. During the debate, a lab leak rate of once per lab per 500 years was proposed (everyone agreed to steelman this by 10x for WIV numbers); I would be interested to know whether anything about the study of SARS challenges that number. 16. Unpublished infectious clone identified from Wuhan contradicting arguments such reverse genetics systems would be published. https://www.biorxiv.org/content/10.1101/2023.02.12.528210v1.full I asked some scientists about this paper and here’s what they told me. Wuhan University sequenced some rice. In the middle of the sequence, there’s an unexpected sequence from a common coronavirus, HKU4. The most likely explanation is that someone else in Wuhan was working on the coronavirus and there was cross-contamination. Plausibly this is Wuhan Institute of Virology, who is known to work with coronaviruses. This is cool detective work, but it’s not clear what it’s supposed to prove. I think some lab leakers are using it to prove that WIV can do reverse genetics, but they admitted this already in a published paper so that’s not too helpful. I think others are using it to prove WIV had “secret viruses” in their catalogue, but the rice virus wasn’t secret, it was HKU4, which is common and which WIV has already published papers about. 1.6: DrJayChou’s 7 Arguments Once again, I cannot stress enough how much better a take you might have on this debate if you watch it. “The first known case predates the market outbreak by a month” - this is not the consensus position. I cannot say for sure what Dr. Chou means by this, but I suspect he’s referring to one of the many claims to this effect that Peter effectively debunked during the debate (Connor Reed, Mr. Chen, the 92 cases, Brazil, etc).
Balilla

Balilla is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 14, 2021 and September 14, 2021. The archive places it in contexts such as "the youth movement of Germany and the Balilla and Fascist organisations of Italy". It most often appears alongside Adivasis, affirmative action, Ahmedabad.

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Balilla
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September 14, 2021
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September 14, 2021
September 14, 2021 · Original source
"...imitate the youth movement of Germany and the Balilla and Fascist organisations of Italy. I think they are eminently suited for introduction in India, adapting them to suit the special conditions. I have been very much impressed by these movements and I have seen their activities with my own eyes in all details."
Baltic Germans

Baltic Germans is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2023 and August 25, 2023. The archive places it in contexts such as "cross-border success of ... Baltic and Volga Germans". It most often appears alongside 5G, Acemoglu and Robinson, ACX comments.

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Baltic Germans
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1
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August 25, 2023
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August 25, 2023
August 25, 2023 · Original source
No direct inline source block was recovered for this mention.
BAM-15

BAM-15 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 02, 2021 and March 02, 2021. The archive places it in contexts such as "an Australian team published a paper about a new mitochondrial uncoupler, BAM-15". It most often appears alongside 1938 FDA, 2,4-dinitrophenol, 2,4-dinitrophenol.

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BAM-15
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1
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March 02, 2021
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March 02, 2021
March 02, 2021 · Original source
Last year, an Australian team published a paper about a new mitochondrial uncoupler, BAM-15. They claim it’s non-toxic, doesn’t explode, and doesn’t increase body temperature (all uncouplers produce heat, but the body has a certain capacity to adjust for that, and if the heat produced is below the body’s adjustment capacity there’s no fever). Everyone involved works for Continuum Biosciences, an ambitious-looking biotech startup including anti-aging expert David Sinclair, so I’m sure they’re not missing the implications. But I haven’t seen any clear signs of where they’re going with this.
bamboo rats

bamboo rats is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2024 and April 09, 2024. The archive places it in contexts such as "at least civets and bamboo rats". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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bamboo rats
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1
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April 09, 2024
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April 09, 2024
April 09, 2024 · Original source
Suppose you know that one of the animals in the middle crate on the right was caught in some safe, disease-free way, 500 km away, three months ago. How confident does that make you feel? To answer the question about which animals in the Xiao paper are plausible: at least civets and bamboo rats. SARS spread back and forth in some kind of weird net between civets, raccoon dogs, and a bunch of made-up-sounding animals like "ferret-badgers" and "greater hog-badgers". For all we know, COVID could have done likewise. If all of this sounds desperate and wishy-washy, imagine an alien who comes to Earth, hangs out at Area 51, and catches COVID. She theorizes that she got it from humans. She’s heard that the humans at Area 51 came from schools, so she abducts fifteen humans from a nearby school and gives them COVID throat swabs. None of them are positive, so she announces that humans can’t be a COVID intermediate host. Other aliens suggest further testing, but she has already vaporized Earth, just in case, so the further testing never gets done. Simon added: Even the strongest proponents of the raccoon dog hypothesis have walked back their bold claims that raccoon dogs are the host. I asked a scientist whose name is on some of the original raccoon-dog papers if this was true. He said: I secretly root for other intermediate hosts. Bamboo rats or civets would be really fascinating and have flown under the radar. But it’s been really hard to bet against raccoon dogs. First we learn they can transmit and the virus didn’t change when transmitted between them (Freuling 2020)? Then turns out they’re sold in the market (Xiao 2021)? Then it turns out they’re freaking everywhere in the genetic data from the market, the most common mammal detected? Then it turns out the market animals aren’t from northern China fur farms? It’s been a tough road for those betting against them…. 1.3: 92 Early Cases There was a long multi-branching thread of arguments centered around 92 early cases, for example here: My understanding of the situation: the first officially-confirmed case of COVID started December 11, 2019. Later in the pandemic, in 2021, the World Health Organization wanted to figure out if that was really the first, or whether there had been earlier ones. They scoured Chinese hospital records for illnesses that might be COVID during the two months before the official discovery (ie early October to early December) In particular, they asked Wuhan hospitals for records of any cases of fever, flu, respiratory illness, and pneumonia. The hospital gave them 76,253 cases, because China is big and flu is common. This was slightly more cases than usual, but there was a normal flu spreading too, so the researchers didn’t find this very compelling. Then they narrowed these cases down to those that were “clinically compatible” with COVID, and ended up with 92. Then they went over those 92 more carefully, including “review by the external multidisciplinary clinical team” and blood draws from the former patients. They were able to track down 67 of the 92. The clinical team decided none of those 92 cases really resembled COVID, and the blood draws were all negative. They published this as the results of their study: The retrospective search for cases compatible with COVID-19 illness identified 76 253 episodes with one of four indicator conditions. A rise in one of these conditions, [acute respiratory illness] (as well as [flu-like illness] and fever), was seen in this group of individuals in the over-60-year age group in early December. The clinical assessment of the 76,253 individuals revealed 92 cases clinically compatible with COVID-19. It is possible that the application of stringent clinical criteria, resulting in the identification of only 92 clinically compatible cases, may have decreased the possibility of identifying a group or groups of cases with milder illness. All the 92 cases were rejected as cases of SARS-CoV-2 infection on further clinical review. None of these cases (where blood could be obtained) was positive on SARS-CoV-2 serological testing carried out more than 12 months later. The use of retrospective serological testing so long after the illness cannot be relied on to exclude the possibility of SARS-CoV-2 infection at the time of the presenting illness, given the possible drop in SARS-CoV-2-specific antibody over time and the associated reduced sensitivity of commercial assays. The possibility that earlier transmission of SARS-CoV-2 infection was occurring in this community cannot be excluded on the basis of this evidence. In other words “we looked for early COVID, we didn’t find any, but we can’t promise we didn’t miss anything”. On Twitter, Giles Demaneuf makes an interesting point. The researchers took the samples in 2021, when China was in Zero COVID. When the Wuhan outbreak was finally contained in early 2020, 4.4% of Wuhanites had contracted COVID. So isn’t it surprising that 0/67 of the former patients who the researchers tested were had antibodies to COVID? The chance that 67 randomly-selected people in a population with 4.4% prevalence rate are all negative is only about 5%. Is this evidence of foul play? No. See the conclusions section of the report, which said: “The use of retrospective serological testing so long after the illness cannot be relied on to exclude the possibility of SARS-CoV-2 infection at the time of the presenting illness, given the possible drop in SARS-CoV-2-specific antibody over time and the associated reduced sensitivity of commercial assays”. You have a lot of COVID antibodies just after getting COVID. By a year or so afterwards, you might not have enough to detect. So it’s not surprising the WHO study didn’t detect any. Why did they even try looking for antibodies? There seem to be two reasons not to: first, they should have known antibodies would decay after a year. Second, even if some of them did have antibodies, how would we know they weren’t just infected in spring 2020 like everyone else? They don’t say. My guess: antibody decay is very variable. Some people’s antibodies might last more than a year. So if they found that way more than 4.4% of people had antibodies, that would be surprising and suggest that most of them had had COVID in autumn 2019. But instead they found that nobody had antibodies, which is consistent with one or two of them getting sick when everyone else got sick, and having their antibodies decay at the normal rate. But also, I think the antibodies were just intended to supplement the clinical review, and not be a very important part of their determination. I think this study is moderately strong evidence that there wasn’t much COVID going around before December 2019. Doctors looked for cases, they winnowed them down into the cases that looked most like COVID, but when they examined those cases closely, they didn’t look enough like COVID to be interesting. I don’t think the antibody tests add or subtract much from this assessment. I would be fine if someone else said they don’t think the WHO report provides much evidence either way. The main thing I want to insist on is that there’s no conspiracy to hide 92 previously-undiscovered cases. They searched really hard for potential cases, they subjected the most plausible candidates for further review, and then they decided those ones were not, in fact, COVID. (You can read all of this here. It’s not a very good description and I’d be interested if someone has a more thorough writeup of the research.) This was just one of many efforts that researchers made to try to identify pre-December-2020 COVID cases. For example, 30,000 people donated blood in autumn 2019, and the hospitals still had most of it. So they tested the blood samples for COVID antibodies and didn’t find any. I don’t think antibodies decay in stored blood samples (I might be wrong). There are 12 million people in Wuhan, so if even a few hundred people had COVID during that time, one of them should have turned up. None of them did. Finally, during COVID’s officially-recognized existence, its numbers doubled about once every 3.5 days. Again, if COVID existed a month earlier than previously believed, then it would be 256x more common than expected. This would be hard to miss! Nobody found evidence from excess mortality that COVID was 256x more common than expected. I’m using the version of the doubling time argument because it’s simple enough for me to understand, and I don’t have to worry about anyone trying to hide something in their complex model. It’s not exactly true, but it’s true enough to rule out COVID starting much before November 2019. If you want the fancy official version, it’s in Pekar 2021 and looks like this: This alone isn’t fatal to lab leak. It’s perfectly possible for the lab to leak (let’s say) November 5th, the virus spreads a bit, and then a month later someone goes to the wet market, coughs on a vendor, and starts the officially recognized pandemic. But if that were true, you’d expect (let’s say) 30 cases by early December. Let’s say the wet market vendor was exactly Case # 30. She infected the other wet market vendors, starting a pandemic with an obvious center at the wet market and lots of infected wet market vendors and patrons. What about Case # 29? If they were (let’s say) a barista, how come they didn’t infect people at their coffee shop? How come there wasn’t a second obvious cluster radiating out from a coffee shop, lots of coffee-shop-linked cases, etc? How come there weren’t 30 equally-sized clusters? In order to avoid this, you either need to claim that the wet market was a perfect superspreader location, or that the pattern with lots of cases in the wet market and few-to-none anywhere else was a result of ascertainment bias. Saar made both those arguments during the debate, but I thought Peter rebutted them effectively. 1.4: COVID in Brazilian wastewater Nicholas Halden (blog) writes: What should we make of this study, which found the presence of covid in Brazilian wastewater in late 2019? Consider the doubling times. The study says that scientists working in late 2020 found COVID in samples of Brazilian wastewater from November 27, 2019. This was long before the first detected case of transmission in Brazil on March 13, 2020. Between November 27, 2019 and March 13, 2020 is about 16 weeks, so 32 COVID doubling times. 32 doubling times with no lockdown is enough time for COVID to infect every single person in Brazil. If COVID had infected everyone in Brazil before the first recognized case, we would have noticed. (again, COVID doubling time isn’t exactly invariably 3.5 days, but here we’re talking about numbers big enough that the exact details don’t matter very much) So if COVID was in Brazil on November 27, it must have fizzled out instead of going pandemic. How likely is that? If one person had COVID, it’s not too unlikely - not all COVID cases transmit it forward. If (let’s say) twenty people had COVID, it’s very unlikely - at that point, the law of large numbers takes over; in a freak coincidence, every single patient would have to fail to infect anyone else. So almost certainly fewer than 20 people in Brazil had COVID in November 27. So which is more likely - that somehow 20 people had COVID long before the virus was officially detected, and on a totally different continent, yet somehow a scientist looking through wastewater found the water from exactly those people and managed to detect the virus? Or that there was a sampling error, which happens all the time in these kinds of things? Peter wrote a blog post on some of these issues. He found that there were positive tests from wastewater samples as early as March 2019, which doesn’t fit anyone’s timeline, including lab leakers’. And most of these positives (including the Brazilian sample) contained later strains of the virus with mutations it picked up late in 2020. So these were almost certainly false positives from contamination. 1.5: Biorealism’s 16 arguments Biorealism has a list of sixteen arguments, which he liked so much that he posted it three times in the ACX comments, twice on Less Wrong, twice on Manifold, and about a dozen times on Twitter under multiple account names. Some posts were slightly different from others, but a typical version is: Importantly, Miller incorrectly claimed the N501Y mutation would result from passage in hACE2 mice (mixed them up with BALB/c mice). The major papers Miller relied on have been seriously challenged since the debate. See Stoyan and Chiu (2024), Weissman (2024), Bloom (2023) and Lv et al (2024). Overall the circumstantial evidence makes lab v plausible: Peter admitted getting this wrong during the debate. I think this very minor point about mice mutations was approximately his only mistake in 15 hours of debating, and he admitted it as soon as he noticed. Biorealism somehow heard about this (obviously not through watching the debate, as we’ll see in a moment), then left about 20-30 comments starting with it, under various accounts, on various platforms, as if it somehow discredited Peter. This is making me somewhat less charitable to him and his 16 arguments than I would be otherwise. 1. Chinese researchers Botao & Lei Xiao observed lab origin was likely given the nearest known relatives to SARS-CoV-2 were far from Wuhan. Wuhan Institute of Virology (WIV) sampled SARS-related bat coronaviruses where the nearest relatives are found in Yunnan, Laos and Vietnam ~1500km away. They refuse to share their records. The ancestral viruses of SARS were found equally far from where SARS spilled over into humans, so we know it’s possible (and likely) for viruses to travel that far. 2. Patrick Berche, DG at Institut Pasteur in Lille 2014-18, notes you would expect secondary outbreaks if it arose via the live animal trade. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234839/ There are constant outbreaks of weird coronaviruses in animal handlers. See eg this paper, which estimates about 60,000 of these per year. None of these ever go anywhere, because the farmers are in rural areas that aren’t dense enough to sustain a high R0, and the epidemic fizzles out after a single digit number of cases. Any early outbreaks of COVID would have vanished into this long and mostly unnoticed list. 3. Molecular data: Only sarbecovirus with a furin cleavage site. Well adapted to human ACE2 cells. Low genetic diversity indicating a lack of prior circulation (Berche 2023). Restriction site SARS-CoV-2 BsaI/BsmBI restriction map falls neatly within the ideal range for a reverse genetics system and used previously at WIV and UNC. Ngram analysis of the codon usage per Professor Louis Nemzer https://twitter.com/BiophysicsFL/status/1667232580255490053?t=IJgitS5cw364ioclzVWxaA&s=19 The SARS2 backbone is very low in CG and CpG. While the 12-nt insert that gives it the FCS is extremely high in both. Almost as if it was some kind of chimera of a consensus sequence and a codon-optimized polybasic cleavage site? https://twitter.com/BiophysicsFL/status/1752800486837678377?t=EpIRgyybJVaPgeMP5xdstA&s=19 https://www.biorxiv.org/content/10.1101/2022.10.18.512756v1 https://link.springer.com/article/10.1007/s10311-021-01211-0?fbclid=IwAR1HMUMtLIAFOFppVasQDeoIAYrVhP8j4YoPO4wnaTOUiKLsllZl_oKryOw Most of this was discussed extensively in the second session of the debate, which I recommend. The CGG-CGG arginine codon usage is particularly unusual but used in synthetic biology. I asked a synthetic biologist about this. He said: » “Nope. I would literally never do this if I was designing a small insert (maybe I wouldn't notice if it happened by chance with ~1 in 25 odds in a naive codon optimization algorithm as part of a larger sequence). High GC% is bad. Tandem repeat is worse. Several other perfectly fine arginine codons. And I wouldn't engineer a viral genome using human codon usage. An engineer would not do it.” 4. DEFUSE full proposal: virus 20% different from SARS1, consensus seq assembled with 6 segments, without disrupting coding seq, BsmBI order, FCS. SARS2: 20% different than SARS1, 6 evenly spaced fragments w BsmBI and BsaI restriction sites, FCS. Jesse Bloom, Jack Nunberg, Robert Townley, Alexandre Hassanin have observed this workflow could have lead to SARS-CoV-2. Work often begins before funding sought or goes ahead anyway. Re: 4 - Also scattered across second section of debate, also not going to retread 5. Market cases were all lineage B. Lv et al (2024) indicates there was a single point of emergence and A came before B. So market cases not the primary cases. See also Bloom (2021), Kumar et al (2022). Peter Ben Embarek said there were likely already thousands of cases in Wuhan in December 2019.https://t.co/50kFV9zSb6 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/34398234/ https://academic.oup.com/bioinformatics/article/38/10/2719/6553661 There was a Lineage A sample in the market, lab leak proponents just try to ignore/dismiss/conspiracize it away. The first two known Lineage A cases were very close to the market. Lv (is this even a real name? It sounds like Roman numeral? But I guess that’s what you expect in a country ruled by someone named Xi) found some weird COVID variants in Shanghai that might or might not mean anything; you can see some discussion of the implications here, but I don’t think they’re strong evidence either way. If A was first, it means some really weird stuff coincidences have to happen to give us the spread rates and genetic clock data we get, but they’re not necessarily weirder in the zoonosis hypothesis than the lab leak one. The claim that there were “thousands of cases in Wuhan in December 2019” is very easy to disprove by doubling rate arguments like the one above, by the blood bank study mentioned above, by the WHO’s failed case search, and by many other lines of argument. 6. Evidence for lineage A in the market is based on a low quality sample according to Liu et. al. (2023). I really think lab leakers need to decide whether they think China is a sinister actor trying to cover up the truth, or whether they should trust every offhand comment by Chinese government officials as gospel. Dr. Liu doesn’t explain in what sense he thinks the Lineage A sample is “low-quality”, and the Western scientists who I asked about this said they didn’t understand this complaint and that the sample was fine. A Western team re-analyzing the same sample describes it as “conclusively contain[ing] Lineage A.” I think most lab leakers have switched from trying to deny the genetics to claiming that this was “contamination”, which also doesn’t make sense (the sample is genetically very early). Note that aside from this sample, the first two Lineage A cases discovered were both very close to the wet market. 7. Bloom (2023) shows market samples do not support market origin. There is also no evidence of transmission in the claimed susceptible animals elsewhere. https://academic.oup.com/ve/advance-article/doi/10.1093/ve/vead089/7504441 Discussed extensively in my article as well as the first section of the debate. 8. Lineage A and B only two mutations apart. François Ballox, Bloom and Virginie Courtier-Orgogozo note this is unlikely to reflect two separate animal spillovers as opposed to incomplete case ascertainment of human to human transmission (Bloom 2021). Discussed extensively in my article as well as the first section of the debate. 9. Sampling bias. George Gao, Chinese CDC head at the time, acknowledged to the BBC stating they may have focused too much on and around the market and missed cases on the other side of the city. David Bahry outlines the documented bias. Michael Weissman has shown this mathematically. https://journals.asm.org/doi/10.1128/mbio.00313-23 https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnae021/7632556 Re: Dr. Gao, see above comment about Chinese officials. See the section Ascertainment Bias below for why I disagree with this specific claim, which also addresses the Michael Weissman argument. 10. Spatial statistics experts show the Worobey claim the market was the early epicentre was flawed. https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnad139/7557954 Re: 10 - See Confirmation Of The Centrality Of The Huanan Market Among Early COVID-19 Cases, a response to the paper you cite: The centrality of Wuhan's Huanan market in maps of December 2019 COVID-19 case residential locations, established by Worobey et al. (2022a), has recently been challenged by Stoyan and Chiu (2024, SC2024). SC2024 proposed a statistical test based on the premise that the measure of central tendency (hereafter, "centre") of a sample of case locations must coincide with the exact point from which local transmission began. Here we show that this premise is erroneous. SC2024 put forward two alternative centres (centroid and mode) to the centre-point which was used by Worobey et al. for some analyses, and proposed a bootstrapping method, based on their premise, to test whether a particular location is consistent with it being the point source of transmission. We show that SC2024's concerns about the use of centre-points are inconsequential, and that use of centroids for these data is inadvisable. The mode is an appropriate, even optimal, choice as centre; however, contrary to SC2024's results, we demonstrate that with proper implementation of their methods, the mode falls at the entrance of a parking lot at the market itself, and the 95% confidence region around the mode includes the market. Thus, the market cannot be rejected as central even by SC2024's overly stringent statistical test. I think this response is pretty strong. In one analysis, they show that even though the other paper’s methodology is worse than theirs, if you apply it correctly (instead of inappropriately excluding various cases like the paper’s authors did), the center of all early cases in Hubei province lands on the wet market parking lot. In another analysis, they show that the other paper’s recommended tests wouldn’t have correctly pointed to the offending water pump in the famous John Snow cholera outbreak, but theirs would have. Still, I think it’s useful to supplement fancy statistics with normal common sense, so I recommend just looking at the map of early cases: …and deciding whether you think the assumptions behind a specific statistical test are likely to debunk the idea that cases are centered around the wet market. 11. Wuhan used as a control for a 2015 serological study on SARS-related bat coronaviruses due to its urban location. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178078/ I don’t know why this point is supposed to matter. If you mean that Wuhan isn’t directly exposed to bats, nobody ever said it was. The zoonotic theory is that wildlife carted in from other areas of China started the pandemic in the wet market. 12. Superspreader events also seen at wet markets in Beijing and Singapore (Xinfadi and Jurong). This was discussed very extensively in the debates, both in section 1 and section 3. Wet markets weren’t “superspreader locations” - in fact, the disease spread no more quickly there than anywhere else. They were the first place in those cities that the pandemic started, due to contaminated animal products. If anything, this supports zoonosis. See also my discussion with Saar on this point below. 13. WIV refuse to share their records with NIH who terminated subaward in 2022. Wider suspension over biosafety concerns. https://www.bloomberg.com/news/articles/2023-07-18/us-suspends-wuhan-institute-funds-over-covid-stonewalling Although WIV has not been especially forthcoming, some of their databases were leaked in various ways and showed that they did not have any viruses capable of transforming into COVID. 14. PLA involvement at WIV and MERS research prior to SARS-COV-2. MERS features several similarities with SARS-CoV-2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022351/ I can’t even tell what conspiracy theory you’re trying to propose with this one; if you spell it out I can try to explain why it might be false. 15. SARS1 leaked several times and SARS-COV-2 has leaked from a BSL-3 lab in Taiwan. Agreed that SARS leaked several times. It also spilled over from animals several times. During the debate, a lab leak rate of once per lab per 500 years was proposed (everyone agreed to steelman this by 10x for WIV numbers); I would be interested to know whether anything about the study of SARS challenges that number. 16. Unpublished infectious clone identified from Wuhan contradicting arguments such reverse genetics systems would be published. https://www.biorxiv.org/content/10.1101/2023.02.12.528210v1.full I asked some scientists about this paper and here’s what they told me. Wuhan University sequenced some rice. In the middle of the sequence, there’s an unexpected sequence from a common coronavirus, HKU4. The most likely explanation is that someone else in Wuhan was working on the coronavirus and there was cross-contamination. Plausibly this is Wuhan Institute of Virology, who is known to work with coronaviruses. This is cool detective work, but it’s not clear what it’s supposed to prove. I think some lab leakers are using it to prove that WIV can do reverse genetics, but they admitted this already in a published paper so that’s not too helpful. I think others are using it to prove WIV had “secret viruses” in their catalogue, but the rice virus wasn’t secret, it was HKU4, which is common and which WIV has already published papers about. 1.6: DrJayChou’s 7 Arguments Once again, I cannot stress enough how much better a take you might have on this debate if you watch it. “The first known case predates the market outbreak by a month” - this is not the consensus position. I cannot say for sure what Dr. Chou means by this, but I suspect he’s referring to one of the many claims to this effect that Peter effectively debunked during the debate (Connor Reed, Mr. Chen, the 92 cases, Brazil, etc).
Banana Republic

Banana Republic is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 26, 2024 and July 26, 2024. The archive places it in contexts such as "Kangaroo court in the Banana Republic of Trump". It most often appears alongside 1600 Pennsylvania Avenue, 2020 election, 2024 book review contest.

Reference entry
Banana Republic
Mention count
1
Issue count
1
First seen
July 26, 2024
Last seen
July 26, 2024
July 26, 2024 · Original source
The lack of evidence that all this is happening is entirely explained through coordinated media silence as well as the widespread use of body doubles and clones. The heart of Real Raw News, and the source of most of its entertainment value, is its accounts of the supposed secret military tribunals occurring at America’s Guantanamo Bay Naval Base in Cuba, better known as Gitmo2. For more than three years, the site has produced one article after another describing the arrest, trial, and execution of dozens of major and not-so-major figures in American life. Hillary Clinton? Arrested, tried, executed. Bill Gates? Arrested, tried, executed. Dick Cheney? Fled the country via a secret underground tunnel to a CIA airfield, but then returned to America on vacation for some reason3, arrested, tried, executed. George W. Bush, Hunter Biden, Anthony Fauci, Gavin Newsom, Mark Milley, Victoria Nuland, Tom Hanks (?), Brian Stelter (???) – All arrested and executed, in turn4. Almost all defendants are hanged, which actually is not the method prescribed by the Uniform Code of Military Justice, but has the advantage of being far more cinematic. It would be easy for all of this to get old, but like with variations in classical music, subtle differences to each iteration enrich the whole. Some defendants desperately try to deny responsibility for their crimes. Some arrogantly taunt the tribunal, assuming until the very end that they are untouchable. Some literally scream as though demon-possessed. Some fake senility or amnesia. But crucially, all of them face justice, one way or another. An entry published just before this contest’s deadline is a lovely example: Representing himself, [Fulton County Superior Court Judge Scott] McAfee in opening remarks talked himself into an early verdict. He said no one and nothing, not even imprisonment, would prevent him from destroying the Trump family. Handcuffed at the defense table, he glared at the panel and said he would topple the Trump empire, building by building, brick by brick, and wouldn’t rest until every Trump supporter was behind bars or dead. “Then I’ll take care of the people here and this place,” McAfee said. “Mr. McAfee, I’m told you are of sound mind and know where you are, right?” Admiral Stephens asked5. “I’m in a Kangaroo court in the Banana Republic of Trump, staring at a guy who couldn’t hack it in the real world, couldn’t run a private practice, get a partnership, or sit on a real bench, so he went into the military,” McAfee said. “Have you ever heard of Trump Derangement Syndrome, Mr. McAfee?” the Admiral asked. “Because you have the worst case I’ve seen, and I’ve seen several.” “Trump is finished. He’ll be in jail soon, and when he is, your house of cards collapses,” McAfee said. “It might seem that way, but it only seems that way,” the Admiral said. “You might as well find me guilty. I’ll never stop hating Trump and I’ll never stop working to demolish everything he stole. He was born guilty, and he’ll be guilty until the day he dies. That’ll be the only word on his gravestone: GUILTY!” McAfee shouted. The lead panelist, a Marine Corps major, politely interrupted: “Admiral, sir, we don’t have to hear any more. McAfee mocks this court, and we find him guilty of the treason charge. Additionally, we are in agreement he should hang for his crimes.” Admiral Stephens nodded contemplatively. “I side with these fine officers. Mr. McAfee, you are hereby sentenced to hang for treason against the United States of America.” His execution is scheduled for May 15. Yes, this is the judge of Trump’s criminal case in Fulton County. In the Real Raw News world, Trump’s various legal adventures are both real and fake at the same time. Apparently, Trump could completely ignore these proceedings, and the military in fact begs him to do so, but he chooses to place himself in danger from some unseen, Christ-like self-sacrificial motive. That motive, it appears, is getting evil judges to expose their bias by ruling against him, so that they can be arrested and executed for treason. The site often offers an alternative narrative regarding events in the official, Deep State-backed news narrative. When Colin Powell died, RRN was there to explain that he actually committed suicide, fearing arrest by the military. When former Tom Hanks co-star Peter Scolari died of cancer, RRN swooped in to attribute his demise to an unexpected military tribunal6. This pattern is one of the chief reasons fans cite for believing the site: Isn’t it incredible, they say, how some of the same people RRN reports the executions of just happen to have recently died or been hospitalized in the mainstream press? What are the odds? Perhaps surprisingly, the star figure in Real Raw News’s tapestry of blood is not Donald Trump; like Gandalf or Dumbledore, he is a heroic but distant and largely off-screen figure. Instead, the primary hero is Rear Admiral Darse Crandall, who dispenses lethal justice with shocking efficiency while always being ready with a good quip: Admiral Crandall ordered [Arizona Governor Katie] Hobbs not to intimidate the witness. “You lack decorum, detainee Hobbs, and your insouciance ends here. We revoke your right to further question this witness and ask the panel to render a verdict on the charges against you.” The admiral dismissed Jane Doe, and the panel unanimously found Hobbs guilty, recommending she hang to death. “I won’t let you do this to me,” Hobbs screeched. “It’s already done,” said Admiral Crandall. “And have a Merry Christmas—in whatever afterlife you wind up in.” He scheduled her execution for December 22. Adm. Crandall is in fact a real person, currently serving as Judge Advocate General of the Navy. Admiral Crandall seems like a nice and professional fellow, and I badly want to know what he makes of his alternate persona. I like to hope that he enjoys it; maybe he jokingly warns his subordinates to do their jobs right or else they’ll be arrested and executed. If anybody knows otherwise, please do not disabuse me of this fantasy. Lesser fake news auteurs will puke out lame one-and-done articles about the moon landing or JFK or whatever, with zero internal consistency. Baxter is better. His military tribunals are reported out in detail. Even the most minor figures receive dedicated articles for their arrest, their trial, and their demise, but the biggest names receive genuine weeks-long productions. Hillary Clinton’s tribunal spans five days, until damning testimony from her former aide (and lover) Huma Abedin sends her to the gallows. Former president Bush’s arrest and tribunal is a ten-part epic lasting nearly two months, and includes details that are eccentric even by 9/11 truther standards: Supposedly, the real death toll of 9/11 (which Bush orchestrated) was 7,000, but Bush deemed this number too high to win reelection, so the real number was suppressed and 4,000 families were silenced with enormous bribes that also served to stimulate the economy. Good thing all the plotting was caught on tape, or he might have gotten away with it. Baxter never rushes things. Remember how the Colorado Supreme Court tried to kick Trump off the primary ballot in late 2023? Lesser fake newsers might have had the entire 4-vote anti-Trump majority arrested at once, but Baxter is cannier. In his reporting, one justice was arrested immediately, but the other three went on the run , and took months to capture. As of this writing we’re still waiting for their tribunal. I hope it’s a barn-burner! Baxter knows that while crass wish fulfillment is easy, truly great stories need formidable villains. Amidst the many arrests and hangings of Baxter’s saga are cinematic setbacks. Sometimes, the Marines don’t get their man: [Biden White House Covid-19 response coordinator Ashish] Jha was five feet away from his vehicle when two Marines with an arrest warrant approached him, informing him that he was being placed under arrest on charges of mass murder. Jha erupted in laughter, saying, “You don’t even know who we are.” He exploded in a crimson fireball that blew his and the Marines’ bodies to bits throughout the parking lot. […] The Marines brought what remains they could to Fort Bragg, where medical examiners deduced that Jha was not Jha, but a clone in which someone had planted a subdermal detonator connected to HMX explosives. And then, there is the looming presence of RRN’s chief villain: Former U.S. President Barack Obama. Members of the deep state make a warped pledge of allegiance to “The United States of Ukraine” and to “one world under Obama.” Other arms of the deep state might be taken down, but Obama himself always lurks in the shadows, controlling and commanding. The occasional attempt to take him down runs into the kind of problems you’d expect: “Why?” Obama gurgled and died. Inexplicably, the body spontaneously combusted, starting at both hands and spreading to the arms and chest. Special Forces tried extinguishing the flames with sand and water, but their efforts were in vain—the flames were rapidly charring burnt flesh. “Check his feet,” the Special Forces lead, who had been trained to spot body doubles and clones, called out. They swiftly yanked off Obama’s socks and sneakers and saw he had flat feet, and that his sneakers had been augmented to fit people with fallen arches. They pulled down his pants; Obama had no genitals, a telltale indicator of cloning. The body became too hot to touch and was soon consumed by fire. Like Bob Ross, Michael Baxter has no mistakes, only happy little accidents. In late 2021, RRN reported on the conviction of the late Chelsea Clinton’s husband, Marc Mezvinsky. Being only a lackey in the Clintons’ plot to abduct children and sell them on the black market, Mezvinsky received a comparatively lenient life sentence. But wait! Two months later, Gitmo’s chaplain mentioned in passing that he had attended Mezvinsky’s execution. Eagle-eyed readers saw the discrepancy and cried foul. But Baxter didn’t miss a beat. When Baxter reported on the arrest of former Obama adviser David Axelrod, only to publish no follow-up, he had a ready explanation a year later: Axelrod had been executed without trial by being thrown out of an airplane, and it took months for Baxter to learn the truth. I’ll admit, I find Baxter’s efforts to maintain narrative integrity incredibly charming, given how they clash with the latent absurdity of the whole endeavor. Like most fictional universes, the Real Raw Newsiverse crumbles if you think about it too hard. If there are White Hat and Black Hat partitions of the military, how does military procurement work? How do newly-enlisted personnel know which faction they are joining? Do the two factions have separate recruiters? And when literally everyone carries a basic video camera in their pocket, and social media access is universal, how are major battles being fought on American soil with zero video evidence anywhere? At the meta level, the entire construct gets even sillier. The conceit of the site is that Trump has secretly left power to entrap his foes…yet then his allies go and blab the entire “real” story to an online blog. The cover for this is that the masses simply don’t believe it, but you know who would definitely know whether the blog is accurate? The Deep State! Yet despite this, in RRN lore sinister actors from Andrew Cuomo to Oprah are always caught off guard when Delta Force7 smashes down their door and zip-ties their hands for a one-way trip to Cuba. Okay, But So What? You might be tempted to think this is all irrelevant rambling into the void. But if you think that, you’re mistaken. The thing is, Real Raw News is popular. Really popular. It got more than 2 million page visits in January. It’s a lot more popular than this blog and even outdraws some established publications like The Nation. “Okay, views are views, but does anyone really believe this?” you may ask, perhaps derisively. Well, it falls to me to say that yes, yes they do. The typical RRN article gets hundreds upon hundreds of comments. And sure, a lot of them are “My mother is being paid $2,000/day working from home” spam, but most of them are not. Hundreds upon hundreds of comments are from readers grateful to Baxter for sharing the “truth.” Even more unsettling are comments from people who spot a problem with the occasional story, but still trust Baxter overall. Baxter has a donation page on Christian crowdfunding site GiveSendGo. It has raised more than $210,000 and donations continue to pour in on a daily basis. Sure, some donation messages clearly indicate people who are in on the joke…but many more do not. But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
bandwagon goods

bandwagon goods is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 10, 2023 and May 10, 2023. The archive places it in contexts such as "These are called bandwagon goods and discussed here". It most often appears alongside Alex Poterack, Alexander, America.

Reference entry
bandwagon goods
Mention count
1
Issue count
1
First seen
May 10, 2023
Last seen
May 10, 2023
May 10, 2023 · Original source
Kangbashi, China’s most famous ghost city. What are housing prices like in the ghost city? Again from Bloomberg: Sitting on the southern outskirts of Inner Mongolia’s Ordos City (population 2.2 million), Kangbashi was the archetypal ghost city 10 years ago, with barren boulevards and empty buildings standing forlornly in the desert. Local officials are adamant that things have changed. They say 91% of homes in the district are occupied. In fact, after a yearslong construction freeze, the government approved six housing projects in 2020 and expects 3,000 homes to be built by the end of this year. Apartments in a new development are selling for 9,500 yuan per square meter, and downtown they go for 15,000 to 16,000 yuan, according to Liu Yueyue, 28, a salesman at a new residential development in the district’s northeast. “Would houses in a ghost town sell at such high prices?” asks Liu. Half of his customers come from outside Kangbashi, and most are parents who want to send their children to the well-regarded local schools, he says. Looking at this list of real estate prices across Chinese cities, Kangbashi seems squarely in the middle - for example, Wuhan and Xian are also in the 15,000 - 16,000 range. I claim this supports my argument: surely twenty years ago, houses in this particular deserted corner of Inner Mongolia would have been dirt cheap (if any even existed). But if you build a city there, it becomes just as expensive as any other city! Here it’s very obvious that the density caused the high prices instead of the other way around. Still, the Chinese housing market is weird, with significant vacancies even in expensive, well-developed cities. Paul Botts: No official vacancy rates are published in China and no specific definition of it exists there. Various think tanks and researchers both within that country and elsewhere have published estimates ranging from as low as 11 percent to as high as 24 percent. Those estimates have been for varying samples of Chinese cities, have used various definitions of housing vacancy rate, etc. The best (as in most systematic) estimate yet produced has come from researchers at a university in Liaoning. They used night-time urban lightsheds captured by a new (2018 launch) Chinese satellite having a new level of light sensing technology which allows separating out light from parks and plazas. They covered a large sample (49 cities), and made their sample representative of city type, city size, regions within China, etc. They also crossed-referenced with local housing data to ensure accurate balancing of their sample and to confirm that the satellite was successfully identifying light coming from housing blocks. They found vacancy rates of just under 20 percent in China's Tier 1 cities, and found rates above 20 percent in 40 of the 49 cities. They found the highest vacancy rates in western and northeastern cities, which are also the newest ones; that finding is consistent with the hypothesis of significant numbers of recently-built ghost cities. https://www.researchgate.net/publication/345092218_Housing_Vacancy_Rate_in_Major_Cities_in_China_Perspectives_from_Nighttime_Light_Data And Phil H (author of the blog Tang Poetry) writes: The price of housing in China has skyrocketed over the past few decades, as all those extra apartments have been built. I live in a pleasant but unremarkable southern city, and I paid London prices (about 4.5m yuan/$650k for a 1,300 sq ft flat). That seems to match Scott's hypothesis that high density leads to high prices. House prices here have risen much faster than incomes. They've risen in rural areas, too, but the increases in price in cities have been stratospheric. 4. Comments Accusing Me Of Not Considering Tokyo, Even Though I Included A Section In The Post On Why I Didn’t Think Tokyo Was Relevant I won’t name and shame people, but for example: You excluded Tokyo from your dataset. Tokyo has much higher density than SF and much lower price per sqft. Tokyo just kills this. Tokyo is bigger than New York and has significantly lower rent because they build more housing! This is in a wealthy country with even lower interest rates than the US. I don't think you have justified excluding non-US metros, like Tokyo, or Auckland. Doesn't this lead to the natural conclusion that there is a sufficient level of housing to build, and that the problem is that the USA's many metros are structured to prevent housing? It seems like you're just arguing that US metros are bad at building housing, which is also what Matt Yglesias is arguing. "Change my mind about housing, but don't mention Tokyo" is like saying "Change my mind about gun possession, but don't mention Switzerland." You can't test the effect of allowing new housing unless you're willing to look at cities that do, in fact, allow it. Tokyo and NYC both attract tons of new residents But Tokyo's housing rents have been stable, while NYC rents keep rising. Why? Tokyo has permissive housing construction laws. NYC makes building new housing almost illegal. Yes, dense cities are attractive, and that makes them get more dense over time. But it only makes them more expensive if you forbid new housing to keep up with the new residents. Tokyo! But I’m like the 10th person to bring it up… As I wrote on the original post (not even edited in! it’s been there the whole time!): I worry someone will bring up Tokyo as a counterexample. But I think Tokyo managed to build its way to low housing prices in the context of the rest of Japan also having good housing policy. Even if that isn’t true, Tokyo on its own is a quarter of the Japanese market, so it might be able to exhaust the entire pool of Japanese house-seekers by itself! That is, yes, you’re all correct that cities are only expensive in the context of more demand for city housing than the (NIMBY-constrained) city housing market can currently supply. You are all correct that if this problem were solved at the national level, then city housing would be cheap, and every additional city house would make it cheaper. My claim is that marginal changes - like Oakland building an extra 10,000 units, but everyone else staying the same - will most likely increase Oakland prices. Yes, if Oakland unilaterally built 50 million units, that would soak up the entire excess demand and probably lower prices everywhere (including Oakland). Yes, if the entire US switched to good housing policy at the same time, that would probably lower prices everywhere (including Oakland). But if we don’t do any of that stuff, and just build another 10,000 houses in Oakland, I think it would probably increase prices in Oakland. Some other people brought up that Japan has a declining population, and it’s much easier to have low house prices when your population is declining (compared to some previous time when number of houses presumably matched number of people), but ddd pointed out that people continue to migrate from the Japanese countryside to Tokyo, so its population continues to increase. Also, Mike (I’m stitching together two comments here): In a country with a declining population, you would expect that fewer homes are being built per capita because there's little to no competition for existing homes. But it's exactly the opposite! Japan builds far more homes per capita than the US does, despite their declining population […] As a result, the average Japanese home is very new and the average house is torn down and replaced after a relatively short 30 years. They're living in nice new homes for cheaper. 5. Comments Accusing Me Of Not Understanding Economics Maximum Limelihood Estimator writes: I think you're making a very common mistake here of confusing supply/demand with *quantity* supplied or quantity demanded. (This is very common! we teach students about this in micro 101 because it's so easy to make!) What you're seeing is that the quantity supplied is correlated with housing prices (true!). But this is very different from establishing that the supply curve--i.e. the amount of housing that would be produced at any given price, and what moves up/down when we regulate/deregulate supply--is positively correlated with price. Figuring out what supply curves look like is a lot less intuitive and requires some high-grade econometrics, which is why economists had to set up a whole commission just to study this particular problem (the Cowles Commission). In terms of resources for understanding how these concepts are different, a micro 101 textbook will cover this distinction. For the econometrics side of this, I've heard good things about Scott Cunningham's *Causal Inference Mixtape*, although I haven't personally used it. My claim is that increasing density within a city shifts the demand curve for housing within that city, because of increasing desirability. MLE later gets more on point: The effect you're discussing here is kind of real in a sense. When the marginal utility of housing increases for *other* people, density arguably becomes more desirable for me, which is kind of like the demand curve shifting up. These are called bandwagon goods and discussed here: http://econfac.bsu.edu/research/workingpapers/bsuecwp200804gisser.pdf In theory, the bandwagon effect could be so strong that parts of the demand curve are upward-sloping. Solutions like this are not, technically, prohibited by the laws of mathematics, just the laws of economics. (And arguably of physics--see paper for conditions where these kinds of bandwagon effects imply the amount of housing in the city would have to be negative). In practice, this effect exists but just can't overcome the normal, non-weird economics that says "making more of a good makes the prices fall." Again, I claim the existence of Manhattan vs. Conanicut shows that sometimes it does. I cannot find the words “housing”, “real estate”, or “land value” anywhere in that paper. Alex Poterack writes: There's two things going on here: confusing shifts in demand with movement along the demand curve, and getting causation backwards. You're assuming density causes prosperity, rather than prosperity causing density. There are ways the former can happen, but the bigger thing is that, for a wide range of historical reasons, you can make a lot of money in NYC and SF, so lots of people want to live there, so they get very dense. This is the prosperity shifting demand right, so at any given price, more people want to live there; this drives prices up, and they go higher the more fixed supply is. If you built a bunch of housing in Oakland, lots of people would move there because it's cheaper, which is movement along the demand curve; it's still the same number of people who want to live there at any price. Now, it's possible that the increased number of people living there makes the city more prosperous (this is the phenomenon of induced demand), which would shift demand right, but there are way more differences between NYC/SF and Oakland than just the density, so I don't think it would shift demand enough to offset this. In particular, if it's just a small increase in small, it's also a small increase in density, so there's almost no shift in demand (but there is movement along the curve). I still think this is missing my point, but I present it here in case anyone else is enlightened by it and wants to try further to convince me I’m making this mistake. 6. Comments By Famous People Who Potentially Have Good Opinions Scott Sumner is an economist and blogger; he writes: It is certainly the case that building more housing can make a city more desirable, and that this effect could be so strong that it overwhelms the price depressing impact of a greater quantity supplied. But studies suggest that this is not generally the case. Texas provides a nice case study. Among Texas’s big metro areas, Austin has the tightest restrictions on building and Houston is the most willing to allow dense infill development. Even though Houston is the larger city, house prices are far higher in Austin: Houston pretty much describes the “Oakland with more housing” outcome that Alexander views as somewhat far-fetched. Only in this case, it’s Austin with more housing. Alexander seems too quick to accept the, “If you build it they will come” idea—that you can build more housing and thereby boost demand so much that prices actually rise. I started the post with a graph of about 50 cities, showing a positive correlation between density and price. I’m having trouble seeing how Sumner’s point isn’t just “if you remove 48 of those cities and cherry-pick two, the relationship is negative”. My attempt to place Austin and Houston on the original graph, using Sumner’s data plus a few other things available online. Why weren’t they on there already? Maybe because the graph is metro areas and Sumner was talking about Austin and Houston as cities, but I’m not sure and agree this is confusing. Everyone knows Austin is more expensive than Houston because Austin is a trendy tech and culture hub and Houston isn’t (and relatedly, because Austin’s median family income is 50% higher than Houston’s). Unless someone wants to claim that its failure to build housing helped turn it into a trendy tech and culture hub, I don’t think there’s much point to this comparison. It’s true that Houston’s bigger size didn’t let it leapfrog over Austin to become a trendy tech and culture hub, which goes against some of what I claimed in the first part of this post. But I never claimed there would be a perfect 1-1 correlation between city size and trendiness, or that you could never find a pair of cities where one was bigger but the other was more trendy. Just that there would be a correlation. Moving on: Here’s the problem with this argument. It mixes up population change due to economic effects such as the benefits of agglomeration, with population changes due to regulatory changes such as less strict zoning. If you look at things this way, then the stylized facts work against Alexander’s argument. Over the past 50 years, increasingly strict zoning has reduced housing construction on big cities like New York and San Francisco. As a result, their populations have increased by less than in cities with less strict zoning, such as Houston. If Alexander were correct, then the price gap between the tightly controlled cities on the coast and the more laissez-faire cities of Middle America should have shrunk over time. Instead, the price gap has widened. New York and San Francisco were always more expensive than other cites, but with tighter zoning and less new construction the gap has become far wider. During the last fifty years, there was also deindustrialization and demographic sorting. This is just the Austin vs. Houston story all over again. Alexander is implicitly viewing this outcome as a “problem” for the city that builds more housing. They must sacrifice so that the rest of the country can gain. But in his scenario, Oakland is better off. Indeed if it were not better off, then why would more people choose to live in Oakland? In order for it to be true that building more housing boosts housing prices, it must also be true that the quality of existing houses (including neighborhood effects) rises by more than enough to offset the increase in supply. That means the new housing construction must make Oakland such a desirable place to live that the amenity effect overwhelms the quantity effect [...] Of course, economic change always has winners and losers. Here’s how I would describe the impact of allowing more housing construction in Oakland, in the unlikely event that this did raise housing prices: 1. America would benefit. 2. Oakland would benefit. 3. Poor people in America would benefit, in aggregate. 4. Affluent people in America would benefit, in aggregate. 5. Homeowners in Oakland would benefit. 6. Some renters in Oakland would benefit (from a more economically dynamic city.) 7. Some renters in Oakland would suffer from higher rents. In the much more likely case where new housing construction would lower prices, the impact described in #5 and #7 might reverse. Either way, there is no defensible argument for not building more housing in Oakland, regardless of the impact on price. If building more housing reduces its price, then there is a strong argument for allowing more housing construction. If building more housing raises its price, then the argument for more construction is even stronger. I agree with all this. Jeremiah Johnson is a co-founder of the Center for New Liberalism, host of the Neoliberal Podcast, and a YIMBY activist (not to be confused with Jeremiah “Liver-Eating” Johnson, who killed 300 Native Americans and ate their livers). He writes: Here's why you're wrong in a single sentence: Demand causes high prices, not new units. Prices are high in SF and NYC because those are desirable places to live for a huge number of people. People all over the country and the world would live there if they could, and prices reflect that. The fact that the densest cities are the most expensive is true. But the high prices are not caused by density - rather, the density and the high prices are both a consequence of crushingly high demand […] There's a feedback loop, but what matters here is the elasticity, which is less than one. We can measure this empirically. New housing lowers prices via the mechanism of adding supply, which is basic economics and how we expect markets to work. New housing could raise prices if it also made the city a more desirable place to live and shifted people's preferences, such that there was more demand to live there after the new housing is built. If you think it's unclear which of these effects would dominate, luckily we have empirical data that over and over and over shows adding housing supply does indeed lower prices on a local level. This is a fairly well established result that replicates well. edit: I'm actually thinking about drawing out the weighted DAG graphs here to make the conceptual stuff easier, but it would be pretty long. I'd love to do this as a guest post. I’m skeptical of the empirical results because they don’t match the much stronger “Manhattan vs. Conanicut island” empirical results, and if I try to think about why, the best explanation I can think of is that the Manhattan experiment has been going on longer (ie long enough for Manhattan’s extra residents to found businesses and institutions that attract new people). I’ve told him he can try pitching this guest post to me; in either case, I would be interested in seeing the graphs. Several other people also posted this graph that Johnson helped make famous: Hopefully by now you can predict my objection: the places in the southeast corner are mostly unfashionable red state Sun Belt cities; the places in the northwest corner are mostly trendy liberal coastal cities. My conclusion is that trendy liberal coastal cities are both more NIMBY and more desirable, and if you use this to draw any conclusions about housing policy you’ll just end up confused. But maybe I should take this same lesson to heart myself. Dense cities are mostly trendy liberal coastal cities; uninhabited tundra in North Dakota isn’t. Maybe the demand is just for trendy liberal coastal cities, and once you attain that status, extra density doesn’t matter that much. Maybe Oakland has already maxed out its “trendy liberal coastal city” status, and even if it became Manhattan-sized, it wouldn’t get any trendier, or would get trendier only with a long time lag. There are a few very trendy small coastal villages in California (think eg Sea Ranch); maybe these (rather than North Dakota) are the natural control group for San Francisco. I think they are still cheaper than SF, but maybe not by very much. Cameron Murray is a housing economist whose work some other commenters recommended; he also writes the blog Fresh Economic Thinking. He very kindly showed up and wrote: I think you are in general right that agglomeration effects are real, which is why bigger cities have higher value to residents. I agree that people move locations. But I think you can go a step further. If one city is growing faster and densifying, surely those people are not demanding homes in other cities and those cities build slower. This is part of the spatial equilibrium story that further makes claims about “build density and get cheap homes” less plausible. 7. My Final Thoughts + Poll Thanks to everyone who commented on this post and helped me refine my thoughts. I’m willing to concede the following points: It might be that only attracting the sort of educated people who found companies, universities, etc will make housing prices go up. Less educated people will take more jobs than they create and not ratchet up the city’s desirability level. (I’d previously told commenters talking about “gentrification” that it was irrelevant to the mechanism I was talking about here, but maybe it isn’t - maybe “gentrifiers” are the people creating more jobs and institutions than they consume, and so homes that attract them in particular will increase demand more than they increase supply? Maybe this discussion does reduce to the gentrification discussion?)
bank

bank is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 26, 2023 and May 26, 2023. The archive places it in contexts such as ""whenever I withdraw cash from an ATM or bank"". It most often appears alongside /r/wallstreetbets, 2013 Financial Services (Banking Reform) Act, 80,000 Hours.

Reference entry
bank
Mention count
1
Issue count
1
First seen
May 26, 2023
Last seen
May 26, 2023
May 26, 2023 · Original source
Another theme that Davies frequently revisits throughout the book is the mechanisms that fraudsters use. There is a certain amount of "trust by proxy" that happens within every system: whenever I withdraw cash from an ATM or bank, I don't inspect each bill to ensure it's not a counterfeit, because I presume that the bank has already done that at some point (and I also assume that the bank is far better at detecting counterfeits than I am). Ditto for any pharmaceuticals that I buy from CVS or Walgreens (if I'm paying for the high cost of a highly-vetted drug supply chain, I might as well trust it).
When I hear the word "loan" or "credit," I tend to think of financial institutions like banks. However, as Davies points out, the vast majority of credit is extended from one business vendor to another. He illustrates with a simple example:
If you’re selling sandwiches on the platform at the railway station, you get cash at lunchtime, but you need to buy bread and cheese in the morning. You could take out a bank loan to buy your supplies, but it’s more common to ask the food suppliers to give you the bread and cheese on credit. In general, in almost every industry, there is some general recognition of the fact that trade customers need to make and sell their product before they have cash to pay for their inputs, and that their suppliers are often in a better position to provide credit to bridge this gap than the financial system is.
bapineuzumab

bapineuzumab is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 14, 2025 and August 14, 2025. The archive places it in contexts such as "phase 3 trials of bapineuzumab in mild-to-moderate Alzheimer’s disease". It most often appears alongside A. Bejanin, A. de Calignon, A. Elobeid.

Reference entry
bapineuzumab
Mention count
1
Issue count
1
First seen
August 14, 2025
Last seen
August 14, 2025
August 14, 2025 · Original source
Donanemab in phase 2 [81] (32%) and phase 3 [82] (35%). There have also been earlier antibodies that saw only failure in phase 3 – bapineuzumab [83, 84], crenezumab [85], solanezumab [86–88], and gantenerumab [88, 89]. These failed drugs didn’t just do a bad job treating Alzheimer’s. They also did a bad job clearing amyloid plaques, so their failure is consistent with the amyloid hypothesis. That said, just coupling the older, previously-unsuccessful antibody gantenerumab with a BBB-crossing mechanism produced extremely good target engagement and better safety in early clinical trials [74–76]. This makes me optimistic about a future BBB-crossing lecanemab (or similar), especially if given in the preclinical disease phase prior to significant tauopathy. Each of the “successes” have shown about 25-30% slowing of decline over 18 months. Some object that this isn’t clinically meaningful because it’s only a slowdown of ∼0.5 points on an 18-point CDR-SB scale, but they don’t mention that the participants start about 3 points from a perfect score (since these are relatively early-stage patients) and worsen by ∼1.5 points in those 18 months when on placebo. A literally perfect drug - one which halted all further clinical progression - could therefore only achieve about 1.5 points of efficacy on that scale. The cruxy question is whether the drugs maintain a 30% reduction after 18 months. Preliminary signs from lecanemab’s and donanemab’s open-label extensions show that they do [90], so this would amount to about 40% more years of life at each disease stage. But why have amyloid antibodies only achieved about 30% efficacy so far? The likely answer: mainly because they were given too late to prevent the downstream tau pathology cascade, but also because some of their side effects, like when they target amyloid-bearing blood vessels rather than brain tissue, can themselves worsen cognition. That said, even achieving 30% efficacy proves that amyloid plays some causal disease role and isn’t merely a downstream, harmless pathology. Why is the amyloid hypothesis unpopular? The amyloid hypothesis remains popular in the Alzheimer’s disease research community, but most press coverage is negative. These challenges are understandable, and some of them make good points, but overall fail to address the evidence discussed above. Failures and perceived failures of amyloid therapies I discussed this above, but to recap: Early attempts had suboptimal epitopes which didn’t successfully engage their targets.
[83] S. Salloway et al., “Two phase 3 trials of bapineuzumab in mild-to-moderate Alzheimer’s disease,” New England Journal of Medicine, vol. 370, no. 4, pp. 322–333, 2014, doi: 10.1056/NEJMoa1304839.
[84] R. Vandenberghe et al., “Bapineuzumab for mild to moderate Alzheimer’s disease in two global, randomized, phase 3 trials,” Alzheimer’s Research & Therapy, vol. 8, no. 1, p. 18, May 2016, doi: 10.1186/s13195-016-0189-7.
baptism of fire

baptism of fire is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 27, 2024 and June 27, 2024. The archive places it in contexts such as "Trump: if the Spirit came down and gave them the baptism of fire". It most often appears alongside 2016, 2020, 2023.

Reference entry
baptism of fire
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1
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1
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June 27, 2024
Last seen
June 27, 2024
June 27, 2024 · Original source
Trump: But if they had that experience - if the Spirit came down and gave them the baptism of fire - would that count as a birth, end their status as a fetus, and prevent their mother from terminating them?
Baptists

Baptists is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 11, 2022 and August 11, 2022. The archive places it in contexts such as "Quite the Baptists and Bootleggers alliance". It most often appears alongside atheists, Bigfoot, Bootleggers.

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Baptists
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1
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1
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August 11, 2022
Last seen
August 11, 2022
August 11, 2022 · Original source
The two most skeptical groups are . . . evangelicals and atheists. Quite the Baptists and Bootleggers alliance.
barbarian courts

barbarian courts is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 06, 2021 and May 06, 2021. The archive places it in contexts such as "when barbarian courts offered the curiales an escape from the Respublica's tax burden". It most often appears alongside 320 AD, 476 AD, Africa.

Reference entry
barbarian courts
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1
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1
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May 06, 2021
Last seen
May 06, 2021
May 06, 2021 · Original source
The spoils from raiding allowed the barbarians to establish wealthy courts of their own. “Romans quickly learned that they could make their fortunes at barbarian courts in the fifth century (if on a smaller scale) much as they had done at the court of the emperors in the fourth century.” The standard of living for these “little big men”, the former curiales, declined, but they avoided poverty. They gave up their villas and moved to more modest town houses near the barbarian court they now served. Instead of spending on mosaics and private bathhouses, money was now spent on armed retinues. It becomes more difficult to distinguish rich from poor in the archaeological record.
The use of curiales to govern the cities was clearly broken by the end of the empire. It had been a stable system early on – curiales received honor, wealth, and power in return for administering the city on behalf of the empire. Gradually, the benefits of being a member of the curiales declined as imperial bureaucrats and Christian clergy received many of the same benefits, while avoiding the responsibilities. Those responsibilities became more onerous as the demand for taxes increased. As the bargain became worse, many of the families with the means to avoid being a member of the curiales did. A smaller number of less well-off families shared the taxation burden. The easiest way to correct the imbalance was to reduce or remove the burden of imperial taxes. It's no surprise that when barbarian courts offered the curiales an escape from the Respublica's tax burden many took it.
barbarian militias

barbarian militias is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 06, 2021 and May 06, 2021. The archive places it in contexts such as "don’t give barbarian militias license to plunder your country". It most often appears alongside 320 AD, 476 AD, Africa.

Reference entry
barbarian militias
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1
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1
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May 06, 2021
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May 06, 2021
May 06, 2021 · Original source
Brown’s story of the decline is succinct. Barbarian militias, “little more than freelance pillagers and highwaymen,” were used by contending emperors in Roman civil wars. “Like any other desperate army at a time of civil war (Roman troops included), they were paid for their services by license to plunder…. Altogether, it was civil war – and no bloodthirsty drive of their own – that had moved barbarian militias from one end of the Roman West to the other in under a generation.”
Romans writing in the 450s blamed “barbarian invasions” for tearing the empire to pieces. Brown thinks they are wrong. He blames the fractional violence among the Roman elites. For the most part, barbarian militias did not set out to conqueror. They focused on raiding, not conquering.
Barbarian militias would not attempt to sack walled cities. Instead, they would go rummaging around the countryside, burning buildings, ruining crops, and taking prisoners. “Wealth came from plunder and, above all, from a lively slave trade.” Early on, the Romans would give barbarians tracks of land in an attempt to appease them. It didn’t work. They were warrior societies – young men had to fight to prove themselves and kings needed to fight to prove their worth as leaders. The greatest moneymaker for barbarians was to sell back to a pillaged region the captured inhabitants. Pious Christian giving of the era was focused on paying ransoms to rescue the baptized captives.
Bardic Conspiracy

Bardic Conspiracy is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2022 and September 29, 2022. The archive places it in contexts such as ""the Bardic Conspiracy fought the Illuminati in a Lemurian temple buried below Dealy Plaza"". It most often appears alongside 1 Kings 10-11, 2008 Democratic National Convention, Adam Scheffer.

Reference entry
Bardic Conspiracy
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1
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1
First seen
September 29, 2022
Last seen
September 29, 2022
September 29, 2022 · Original source
I have now read quite a bit of this book introduction, and I’m still not sure if he means it in a “this is a cool metaphor for how music is subversive and transformative” way, or a “the Bardic Conspiracy fought the Illuminati in a Lemurian temple buried below Dealy Plaza” sort of way. I actually admire the sort of criticality it takes to keep me precisely balanced between these two interpretations. I will be nodding along, listening to him talk about how music is good at evoking strong emotions, thinking he definitely means the metaphor thing, and then he will hit me with paragraphs like:
bariatric surgery

bariatric surgery is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 30, 2022 and November 30, 2022. The archive places it in contexts such as "the only intervention that had been demonstrated to sustain a >10% weight loss benefit for more than 1-year was bariatric surgery"; "getting closer to bariatric surgery efficacy". It most often appears alongside Adam, AMG-133, amoxicillin suspension.

Reference entry
bariatric surgery
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1
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1
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November 30, 2022
Last seen
November 30, 2022
November 30, 2022 · Original source
Fifth, a remarkable thing about semaglutide that may have been under-emphasized in your post is the extent to which the weight loss benefits are being sustained. People who successfully lose weight tend to have a very difficult time keeping the weight off. To my knowledge, before semaglutide, the only intervention that had been demonstrated to sustain a >10% weight loss benefit for more than 1-year was bariatric surgery. So far, clinical trails are showing sustained weight loss benefits from semaglutide for at least 2-years.
Sixth, this post focuses on GLP-1 agonists, which makes sense, because those drugs are starting to have an impact today. But the Morgan Stanley report also notes that amylin analogue cagrilintide may be approved for weight loss as soon as 2025. This drug has a completely different mechanism than semaglutide, but likely offers similar weight loss benefits. The crazy thing is that the weight loss benefits stack. So Novo Nordisk hopes to sell Cagrisema, which combines amylin analogue cagrilintide with semaglutide, and hopes to offer a ~30% average weight loss. This is roughly double what semaglutide offers, and is getting closer to bariatric surgery efficacy.
Bariatric surgery keeps getting better and better and safer and safer. A Sleeve Gastrectomy in the year 2022 is safer that a gall bladder extraction, a hysterectomy or even a TURP for benign prostate disease.
Baroque era

Baroque era is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 19, 2022 and August 19, 2022. The archive places it in contexts such as "‘In 1587, Europe was just on the verge of entering its Baroque era.’". It most often appears alongside 1587, 1587, 1587, A Year of No Significance: The Ming Dynasty in Decline.

Reference entry
Baroque era
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1
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1
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August 19, 2022
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August 19, 2022
August 19, 2022 · Original source
In 1587, Europe was just on the verge of entering its Baroque era.
“I would venture to say that the baroque is the final stage in all art, when art flaunts and squanders its resources,” said the famous Argentine author Jorge Luis Borges.
There's something of a baroque quality to the culture of the Ming dynasty as well. Huang provides several examples, describing scenes that illustrate the grandeur of empire.
Barrett homes

Barrett homes is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 04, 2021 and October 04, 2021. The archive places it in contexts such as "Most of those Barrett homes are still modern timber frame with a facade of stone or brick". It most often appears alongside 19th century African art, 20th century, 9-11.

Reference entry
Barrett homes
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1
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1
First seen
October 04, 2021
Last seen
October 04, 2021
October 04, 2021 · Original source
Part of the issue is building something traditional that meets modern standards for things like insulation is prohibitively expensive. Most of those Barrett homes are still modern timber frame with a facade of stone or brick on the outside, the more offensive ones don't even put the stone somewhere that makes sense from a structural view, it's obviously just a decorative layer.
Baryon number conservation

Baryon number conservation is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 21, 2025 and February 21, 2025. The archive places it in contexts such as "baryon number conservation is enforced by the structure of the Standard Model". It most often appears alongside /r/slatestarcodex, ACX, Adrian.

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1
Issue count
1
First seen
February 21, 2025
Last seen
February 21, 2025
February 21, 2025 · Original source
1970: why don't protons decay? You dummy, it's because otherwise the Earth would have disintegrated by now! But actually it was because baryon number conservation is enforced by the structure of the Standard Model.
based

based is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 22, 2024 and August 22, 2024. The archive places it in contexts such as "the slang term “based” originally comes from the free base form of a drug". It most often appears alongside 23andme, Adderall, Big Pharma.

Reference entry
based
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1
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1
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August 22, 2024
Last seen
August 22, 2024
August 22, 2024 · Original source
Did you know: the slang term “based” originally comes from the free base form of a drug (as opposed to the salt). I am not making this up.
based and blackpilled

based and blackpilled is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 15, 2022 and July 15, 2022. The archive places it in contexts such as "seventh moral foundation called “based and blackpilled”". It most often appears alongside 2012, Adam Smith, As I Lay Dying.

Reference entry
based and blackpilled
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1
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1
First seen
July 15, 2022
Last seen
July 15, 2022
July 15, 2022 · Original source
Indeed, the part of the book that’s explicitly written as a steel-man of challenges to liberal thinking takes a religious conservative and a libertarian as its opponents. I’m not claiming Haidt needed to cover every political ideology that’s ever been devised. I don’t mind that in the course of his field work he didn’t track down Curtis Yarvin, spend ten careers deciphering exactly what that man is trying to say, and then introduce a seventh moral foundation called “based and blackpilled” or something. Eventually you’re just cataloguing, not making enough generalisations to predict anything.
Basic

Basic is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 27, 2023 and April 27, 2023. The archive places it in contexts such as "writing programs in Basic". It most often appears alongside 286, 8088, Adorno.

Reference entry
Basic
Mention count
1
Issue count
1
First seen
April 27, 2023
Last seen
April 27, 2023
April 27, 2023 · Original source
…where Sam fills in the northwest and southeast squares, then claims a correlation, draws a line, and points to high-status/deep-engagement as a single unified concept. But the southwest square could be “writes a wacky Shakespeare fanfiction, Romeo & Juliet II, in blank verse and period-appropriate language”, and the northeast square could be “publishes a dissertation on some irrelevant aspect of word frequency changes across English plays to prove something about linguistics”. And then having conflated these two things, he goes on to conflate a third thing, Shakespeare vs. Marvel. I’m not up to date on what goes on in academic literature departments, but Freddie de Boer says they’re increasingly offering “Spiderman Studies” classes in attempts to stay culturally relevant; probably Spiderman professors engage with Spiderman on the same deep level that Shakespeare professors engage with Shakespeare. If we made this a cube - high-status vs. low-status forms of engagement along one axis, Shakespeare vs. Spiderman along another axis, and deep vs. shallow engagement along the third - would anything be left of the “nerd” cluster as Sam describes it? I’m not sure. 2. Comments With Strong Opinions On The Definition Of Nerds, Geeks, Etc There were many of these. One common theme was that in the 70s, “nerd” was almost synonymous with “person who is only into unpopular things”, for example sci-fi, comics, and RPGs, all of which were unpopular in the 70s. Then those things became very popular, but the people who were interested in them still get called “nerds”. So now people like Kriss use “nerd” almost synonymously with “person who is only into popular things”. So we have a word which denotes either interest in unpopular things or interest in popular things, depending on who’s using it and when they last updated their lexicon. In the 70s, it was more reasonable to group “interested in math and computers” and “interested in sci-fi and RPGs” together, because both were unpopular and tended to involve the same group of socially maladept young men. Now math is still hard and unpopular; computers are hard in the sense that it’s tough to learn programming languages, but universally used and beloved; sci-fi and RPGs are very popular, and the typical sci-fi fan is closer to a socially-adept albeit “quirky” young woman. If words are hidden inferences, the inference represented by “nerd” - that sci-fi fandom, interest in math, interest in computers, maleness, poor social skills, and nonconformity with mainstream interests all go together - is now thoroughly false, dooming us to conversations like this one. Attempts to repurpose the several different words used to refer to the math/sci-fi/awkward/unpopular cluster to represent different aspects of its successor clusters have mostly failed. Sample comments from this section: Coagulopath writes: To me, being a nerd requires a degree of swimming against the cultural tide. It's weird and unpopular to be into trains, so the fact that you are indicates you have a bit of character (or are socially oblivious, which is also kind of endearing). The problem (and I think Kriss alludes to this) is that nerd stuff went mainstream in the past few decades. Of the 10 highest-grossing movies of the 2010s, 6 are Star Wars or Marvel films. There's no longer any sense that nerds are the underdog. But what does it say about you when you wear a Star Wars shirt? You're pledging allegiance to the biggest, most popular club imaginable. Is that a brave stance? Those people always make me think "if you lived in the SW universe, you'd be on the side of the Empire". In general, I am creeped out by effusive public adoration for things that are near-universally loved. Like The Beatles. Or bacon. Or dogs. Or science (Neil DeGrasse Tyson's whole shtick). Regardless of how I feel about those things on the object level, there's no glory in joining a culture war when you're signing on to the winning side. Tolaughoftenandmuch writes: All this is so different from when I was a kid. I was a nerd because I was intellectually curious, bad at and disinterested in sports, socially awkward, and had a computer hobby (owning hardware C64 ->8088 ->286, writing programs in Basic, being a BBS SysOp). Cultural interests were irrelevant to my nerd status. In terms of exactly when nerd interests started becoming popular, Ghatanathoah writes: I also wouldn't say that nerd stuff only went mainstream in the last decade, it's not like the first 3 Star Wars movies were obscure arthouse pictures. I think the reason Marvel took off is just innovations in storytelling: movie producers finally figured out a way to adapt the gloriously arcane and convoluted lore of superhero comics in a way that could appeal to mainstream audiences in addition to nerds (much how George Lucas figured out how to get mainstream audiences to love the space operas nerds had been enjoying for decades before 1977). And Melvin writes: Comic book movies had always been pretty popular. Superman was the top grossing movie of 1979 despite coming out in 1978. Superman 2 was the second top grossing movie of 1981. Batman was the second top grossing movie of 1989. Batman Returns was the top grossing movie of 1992. Batman Forever was the top grossing movie of 1995. Spider-man was the third top grossing movie of 2002 (behind Lord of the Rings and Harry Potter movies). That's about all I can be bothered looking up right now but you get the idea, superhero movies have been popular since the 1970s. Kaitian writes: I think being a nerd requires being a bit socially clumsy about your interest, and talking or signalling about it in situations where most people don't expect it. So being a nerd about completely mainstream stuff like pop music or football is not possible, that's just fandom. Being a nerd about very well known and relatively well-respected stuff like classical music or birdwatching is rare, because most people who are classy enough to care about the thing in the first place are also classy enough to know when to shut up about it. But comics? Star trek? Power metal? They have fairly low barriers to entry *and* most people don't care about them, so there's plenty of opportunities to bring it up to people who don't want to hear about it. So that's why I think nerdery usually attaches itself to the typical targets. J.R. Leonard has as good a terminology proposal as anyone: I think what's missing is that Kriss uses "nerds" as his foil, but what he's talking about would better be described as fan culture. Deiseach teaches us the etymology of “geek”. The very distant etymology is from German gek, a relative of “cackle” → geck, a fool/madman (who was presumably cackling all the time). But this comes down to us through the early American institution of the geek show. From Wikipedia (cw: disturbing): Geek shows were an act in traveling carnivals and circuses of early America and were often part of a larger sideshow. The billed performer's act consisted of a single geek, who stood in the center ring to chase live chickens. It ended with the performer biting the chickens' heads off and swallowing them. The geek shows were often used as openers for what are commonly known as freak shows. It was a matter of pride among circus and carnival professionals not to have traveled with a troupe that included geeks. Geeks were often alcoholics or drug addicts, and paid with liquor – especially during Prohibition – or with narcotics. More obvious but I went surprisingly long without realizing it: “fan” (as in “sports fan”) is just short for fanatic. 3. Comments About Collecting The veteran collectors in the comments said that my theory (the Internet makes collecting too easy) was only a small part of the decline. The bigger part is that most coin collecting begins with the wonder of finding a rare coin in your change, and most stamp collecting begins with the wonder of finding a rare stamp on your mail, and the rise of credit cards and emails means people aren’t handling coins and stamps as much in their daily lives. Tom Metcalf writes: I'd guess many coin collectors got their start being patient enough to sort through change to see if they had e.g. a wheat cent or silver dime, but first of all, who pays with cash and gets change, and the chances of finding something collectible are orders of magnitude smaller than, say, the '90s. And stamp collectors would have started saving the stamps on mail sent to their house, but how frequently do you get stamped mail anymore? My 79-year old father goes to stamp shows, because one of his hobbies is to buy sheets of old but common unused stamps for less than face value. They are still valid postage, and then he uses them to personalize the stamps he puts on letters he sends to various people. And most of the other people at stamp shows are about his age. He does have some stamps he thinks are interesting that he's held onto, but the dealers at the stamp shows think they're common and uninteresting. So there's a decreasing number of stamps that might be "worth something" and a net loss of collectors in the hobby, and then every time a collector dies and his heirs have no interest in his collection and that many more stamps make their way to dealers who now have one less buyer. Too bad "sending paper letters with vintage but still valid stamps" never caught on with the hipsters. Art writes: The widespread adoption of email created a world where a letter is almost certainly junk mail or a bill. Nobody looks forward to hearing from a good friend from across the country now when picking up the day’s mail. If letters are not interesting why would stamps? The same for coins. Nobody uses cash, and getting a pile of coins with no significant value (inflation) is just an annoyance. These objects have passed into irrelevance. Still, it seems like some little pieces of joy and wonder have passed from our lives. Nathan Savir writes: I collect coins and I think the description of the hobby (and its putative death) isn't quite right. 1. Rare coins are in fact hard to find, even in today's internet world. They are usually sold in auctions, which might happen online, but still not that frequently. It's not unusual for examples some specific rare coin to be sold only once every few years. If the coin is also obscure, it may not be prohibitively expensive, so this kind of situation isn't the sole province of rich people. 2. One area of collecting is to get all the rare items. Another is to get all the minor varieties of a common item. These varieties may not be very rare, but it still takes a lot of effort to be able to distinguish them and to find them. Some collectors will obtain large numbers of relatively common coins and sort through and scrutinize them to try to identify interesting varieties. 3. An important part of collecting is getting good deals. This is surely a lot harder than it used to be because sellers can more easily figure out what things are worth and you won't find something grossly underpriced in a random antique store as often these days. But filtering through buckets (or online listings) of large numbers of coins can still be fun and lead to spotting good deals. So I think there is room in the hobby for nerd-like behavior (per your definition). I would argue the decline of the hobby is more due to competition from other similar hobbies (a generation ago you could collect stamps, coins, baseball cards, or rare books/comics - now you can collect beanie babies, Pokemon cards, NFTs, funko pops, action figures, etc.). I think stamps have suffered more than coins because stamp collecting has more of an aesthetic component (which has faced stronger competition) while coins have a historical element that is less well replicated by collecting newer things. This difference isn't obvious in the google trends graphs you posted but I believe is observable from looking at prices of stamps vs coins. I asked Nathan what coins he collects that are still tough to find, and he gave the example of this Yuan dynasty coin from 1350. I guess if you want to be a collector in 2023 you need to go hard. Arrk Mindmaster writes: I used to collect US coins from every denomination, year, mint, and variety (such as large and small date 1960 pennies). It was kind of like a treasure hunt, knowing you could find something in circulation that was actually more valuable than most people thought it was. I lost interest in the late 1980s sometime, when I found the volume of new coins dwarfed older coins. For example, for Lincoln pennies, they used to make a few million per year, then a few tens of millions. In the 80s, they started making about 5 BILLION each, and it started drowning out all of the old coins, which basically stayed the same value. This comment snapped some things into place for me; I collected coins as a kid in the 90s, and older coin collectors would talk as if you could spot some pretty rare things in your pocket change. But I had much worse luck, and it’s been years since I’ve even found a wheat cent in circulation (even when I was a kid this would happen occasionally). Maybe coin collecting is dying not just because we don’t use change, but because our change is less likely to have interesting coins in it. Another victim of mass money printing! The new state quarters sort of fix this, but other commenters express contempt for this. It feels like the transition between old myths (which one can enjoy) to the Marvel Cinematic Universe (which corporations are begging you to enjoy in a pre-approved way) - now that the Mint wants you to collect their coins, it feels kind of slavish to comply. Other people point out that the collecting of things other than stamps and coins is still going strong. Drethelin: Collecting has not in the slightest died out. People collect more things than ever, like sneakers, funko pops, vintage cars, guns, antique ceramics, anime figurines, magic cards, etc. Some people also brought up NFTs - are there lots of people who truly enjoy collecting NFTs, aren’t just in it for the investment value, and have kept up through the crypto bear market? 4. Comments Insisting That Sports Are Good Aris C writes: It's a little glib to dismiss sports as bad, isn't it? Athletes display extreme skill, sometimes transcendent. I don't think watching people push the limits of human ability is obviously bad. When I said sports were bad, I didn’t mean this as a final value judgment. I meant that, by our usual standards of entertainment, sports are bad. Imagine a sitcom which had several thousand episodes, each with the exact same plot (some people try to get a ball from one side of the court to the other). At some point, surely most people would stop watching! I appreciate the something something human spirit, and I’m happy to know that, somewhere in the world, sports are happening. It’s just the decision to actually watch them that confuses me. 5. Comments About Enjoying Things Vs. Building Identities Around Them Many people complained that some combination of me and/or Sam Kriss were denying that anyone can ever enjoy anything except as an attempt to “gain status”. I would answer first that yes, I think most behavior has some status component (although it may be a small component, mixed with genuine enjoyment). But also, it doesn’t seem mysterious that some people eg like Star Wars, or even love Star Wars. What seems mysterious to me is when this expresses itself as desire to buy thousands of dollars of figurines in the original boxes, or memorize the stats of every class of ship in the Imperial Navy, or something else which doesn’t seem very fun on its own merits. I’m not criticizing others from a place of invulnerability here. When I was ~14, I got really into Star Wars, and aside from reading all the Extended Universe books - some of which were genuinely very good - for about a year I spent all of my allowance and a good fraction of my free time obtaining Star Wars collectable cards associated with an M:TG style card game (which I never got around to playing). My parents probably still have them somewhere. I cannot at all retrace what led me to do this, but I appreciate commenters’ less cynical explanations. For example, enchantingacacia writes: I think it's honestly sort of funny how non-nerds seem to genuinely not understand that a nerd's identity becomes about [thing] because they like it so much, not the other way around. Sometimes you encounter a thing—let's say it's Minecraft, because why not—and it's just such a positive experience for you that you take every possible opportunity to keep thinking about Minecraft, even when you're not playing. You collect every scrap of information you can find about Minecraft and you compose your own original Minecraft-related songs and you decorate your room with blocky little figurines. You get into a virtuous cycle where talking and thinking about Minecraft is so rewarding that you keep enjoying all these secondary activities long after you're bored of actually playing Minecraft itself. You look out for opportunities to meet people who'd enjoy talking about Minecraft with you and make a bunch of friends with whom you mostly talk about Minecraft, and your friends and family start seeing you as "the Minecraft guy" and they get you a Minecraft hoodie for Christmas cause they know it's a safe pick. This is the obvious and intuitive explanation! There's no need to get fake-deep about "ah, they got into Minecraft so they'd have something to construct their identity around": it explains nothing, and consistently makes incorrect predictions about the internal experiences of Minecraft nerds. It's only virtue is making people feel better about being annoyed by those weirdos who won't shut up about Minecraft. It's possibly that I have unusually low social motivation (genuinely, what does it mean to "construct your identity" and why is it something people would be this comically desperate to do?) and am typical-minding, but, uh, I wonder if there's any group closely associated with "nerds" who are also known for having low social motivation? I think it's a tad more likely that people like Kriss are typical-minding, and constructing elaborate social motivations for people who just like stuff regardless of what people like him think. This is a good comment which avoids buck-passing-style “I enjoy it because it’s fun” explanations. Along the same lines, odd anon writes: It is only among nerds that enthusiasm for something corresponds to learning more and more about it. That's the core element here. Non-nerds who like something do not feel any need to read up on it, to know more and more. Of course, the producers of content notice when their audience are nerds, and they start to produce content built more for those who obsessively learn every detail. Comics can start "rewarding" readers for noticing some obscure thing. A game series can have an elaborate continuity, or a zillion details to memorize. Content that either "leans into the fandom" or simply naturally has too much for non-nerds to easily pick up, can rapidly become nerd-only, thus solidifying boundaries. And sure, there are the personality correlations, attributes most nerds also have, including being STEM-y and lacking social skills. Combined, a nerd ended up being an unpopular thing to be. Ghatanathoah is less patient: Both Kriss' essay, and Scott's response to it, remind me of the "Evil Cannot Comprehend Good" trope from TV tropes, except replace "Evil" with "Very socially motivated people" and "Good" with "Less socially motivated people" (although honestly both sets have a lot of overlap). Both essays seem obsessed with finding some deep, social reason why hipsters and nerds behave the way they do, like the supervillain who is telling the hero that they are "Not So Different." They literally can't comprehend the idea that someone could actually like something, so they try desperately to find some way that liking things isn't something people actually do. People couldn't actually like Star Wars, sportsball, the MCU, or the Beatles, they must be liking them to achieve some social goal like forming an identity or seeking status! This is one of the two giant flawed assumptions that invalidates the theses of both articles (the other one, of course, is the assumption the the MCU is bad, when it is, in fact one of the human race's greatest artistic achievements*). If you assume that it is possible to like things for non-social reasons, or even in addition to social reasons, hipsters and nerds make much more sense. The reason that nerds like both popular stuff like the MCU, and less popular stuff like postage stamps is because they don't care about if something is popular, they care about if it fascinates them. Whether that thing is popular is orthogonal to how fascinating it is. That fascination makes them invest a lot of time and effort in it, which in turn makes it part of their identity. They weren't trying to find something to form and identity first and picking Star Wars, identity formation was just a side effect. Similarly, hipsters probably just get bored with things they see frequently and want to seek out new things to be interested in. Making obscure things part of their identity comes second, if at all. Also Ghatanathoah: Scott asks if its ever okay to build your identity around liking a thing. I would ask if it's ever okay not to? What's the alternative, building it around social status games or large nonselective identity groups? It seems to me that liking something isn't just a good thing to build your identity around, it's one of the best things to build it around. After all, unlike social status games, you can like something without forcing other people to not like it. This is a good question, well-phrased. I think the traditional answer is that you should build your identity around social relationships (I’m the son of X, husband of Y, friend of Z), career, and maybe a few hobbies. I agree with this as far as it goes, but it doesn’t work for a lot of practical tasks - I can’t get common ground with someone at a party or start a conversation by introducing myself as the son of X or husband of Y - most people just won’t know X or Y. Some people linked a Freddie de Boer post, Your Personality Has To Be Load-Bearing, which is generally good but I think has a similar problem. Obviously you should have a genuine and complex personality, but I worry a lot of people who talk about this will reject every specific aspect of personality because “it’s not, in itself, a full complex personality!”, but you can’t have a personality without building it out of specific aspects. A lot of people’s default personality, if they just do exactly what comes naturally and don’t put any effort into self-presentation or cultivation, is to browse Reddit and play video games. Most people realize this on some level and try to cultivate some personality beyond this, but I think that makes it extra unfair to say “Just use your natural true self!” The natural true self is exactly the boring thing we’re trying to get away from in favor of becoming a more interesting person. I’m trying to think if I have a personal answer to this. Part of my answer is the EA and rationalist communities. This has some downsides; I’m thinner-skinned about insults to these groups than I should be; some people might think I’m a fanatic. It also has some upsides; they embody real values I like, they try to make a difference in the world, they’re not consumer properties that make me feel like a corporation is pulling my strings. But my real answer is probably “I cheat by having a popular blog; this means you all know everything about me and I don’t have to fit my personality into a ten-second elevator pitch”. Maybe this is the traditional solution, from back when everyone knew everyone else in their community. It sure doesn’t feel adequate now, back when (non-bloggers) are constantly meeting strangers and having to communicate their identity to them quickly. My internal hierarchy of things it’s virtuous to build identity around, which is probably a weird class artifact and which I absolutely don’t consciously endorse, goes something like: Top-tier: Intellectual subfields, especially obscure ones or ones involving pure abstract math. If you can say “I’m really into trans-finite 8-dimensional Hoffdorf groups” and justify this with a discussion of how innately beautiful they are, you’ve got it made.
basilisks

basilisks is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 06, 2021 and August 06, 2021. The archive places it in contexts such as "looking into deflecting asteroids, aligning basilisks, eradicating sun-eating bacteria". It most often appears alongside AGI, AI, AI Impacts.

Reference entry
basilisks
Mention count
1
Issue count
1
First seen
August 06, 2021
Last seen
August 06, 2021
August 06, 2021 · Original source
Now, I don't think _actions_ by institutes working on alignment or whatever are necessarily misguided. I'm happy for us to have people looking into deflecting asteroids, aligning basilisks, eradicating sun-eating bacteria, or whatever. It's more that I find the conversations of some groups I'd otherwise have quite a lot in common with, very off-putting. Maybe it's hard to motivate yourself to work on low probability high-impact things without convincing yourself that they're secretly high probability, but I generally find the attitude unpleasant to interact with.
basketball

basketball is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 20, 2025 and January 20, 2025. The archive places it in contexts such as "a Jewish friend relates a suspiciously similar legend about basketball". It most often appears alongside A16Z, ACX, Alice Evans.

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basketball
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January 20, 2025
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January 20, 2025
January 20, 2025 · Original source
3: Comments from Links: Vlaakith Outrance on A16Z returns, Erusian on dominance within party systems, Hadi Khan corrects my AI training cost numbers (but it ends up not mattering much), and someone linked Alice Evans’ posts on Turkey and fertility (Lyman Stone supposedly discusses this too, though the post is paywalled). And in response to the story about the Chinese warlord misunderstanding basketball, a Jewish friend relates a suspiciously similar legend:
It's said that Rabbi Chaim Kanievsky was asked whether you can play basketball on Shabbat. He asked what basketball is, and they said "it's a game where you have to put the ball in the basket," so Rav Kanievsky asked, "Why don't they just leave the ball in the basket from before Shabbos"? Some say this didn't happen, some say he was making a joke, and some say he didn't know about basketball or the entire concept of a game.
[EDIT: update on Rav Kanievsky’s level of basketball knowledge]
Bastard of Orleans

Bastard of Orleans is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 01, 2025 and August 01, 2025. The archive places it in contexts such as "Jean Dunois, Bastard of Orleans, was in charge of the city's defense". It most often appears alongside Africa, Agamemnon, Age of Empires II.

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Bastard of Orleans
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August 01, 2025
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August 01, 2025
August 01, 2025 · Original source
Dunois (Bastard of Orleans) gives up and flatly says that she's so good that
The Bastard of Orleans thinks that this isn’t fair. This is where a lot of the conspiracy-theory stories about Joan really get started, because her "riding a horse and wielding a lance as well as the finest soldier" skills are patently ridiculous if they have ten years of training and she has one month, to say nothing about her command skills, so they claim she must've had advance training. But we're recounting the evidence here and saving our desperate attempts to come up with an explanation for a later section, so we can just recount the consensus and move on to what her leadership looked like.
Her arrival at Orleans was also part of the legend. The English had built or taken a number of forts around the city and were bombarding it with their artillery, but they didn't have the numbers to completely encircle it and so when Joan arrived the siege was moving pretty slowly. Jean Dunois, Bastard of Orleans, was in charge of the city's defense, and he gave orders that her convoy of supplies and reinforcements enter the city by a circuitous route to avoid the English garrisons before riding out to join them. When he arrived Joan, metaphorically breathing fire, angrily demanded he explain why he'd ordered her troops redirected when the simplest solution was that they just sailed upriver. Dunois explained very patiently that, yes, the city's captains had taken counsel together and they had concluded that given that the wind was blowing in the wrong direction, the most sensible option was to avoid the risk of fighting the English and they thought that was best and safest -
Batroc’s Brigade

Batroc’s Brigade is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as "the first issue covered Abomination to Batroc’s Brigade". It most often appears alongside 20th Century Fox, Abomination, Abomination.

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Batroc’s Brigade
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August 16, 2024
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August 16, 2024
August 16, 2024 · Original source
The second issue I picked up that day was a reprint in a larger format of what was essentially a Marvel Encyclopedia. Each page was a wall of text explaining the biography, demographics and powers of every character and organization in the Marvel Universe in alphabetical order (the first issue covered Abomination to Batroc’s Brigade). Today all of this information, and more, is easily available on the internet (see the links above for far more detail than what was covered in the comic at the time), but at the time this book was the best, and often only, way to get caught up on the previous 25-years of Marvel comic book history.
bats

bats is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 10, 2024 and February 10, 2024. The archive places it in contexts such as "Inspired by military drones and bats". It most often appears alongside 1DaySooner, 23andme, ACX.

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bats
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February 10, 2024
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February 10, 2024
February 10, 2024 · Original source
Alex Toussaint, $20,000, to build anti-mosquito drones. Inspired by military drones and bats, Alex’s plan uses sonar to locate mosquitos, then zip over and grind them in its propellers. You can read more about the sonar here. I originally thought this was cool but couldn’t possibly work at large enough scale to make a difference against mosquito-borne diseases. But Alex claims that in theory you could clear a city block in ten minutes using a $300 drone. Our evaluators didn’t know enough about drones to fully assess these calculations, but the fight against mosquito-borne disease needs fresh ideas, and this one is nothing if not ambitious. Deployment will be a whole separate problem, but I’m hoping that if the prototype works then we can get the relevant experts interested.
Battle of Armageddon

Battle of Armageddon is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 22, 2025 and October 22, 2025. The archive places it in contexts such as "a section on the Battle of Armageddon". It most often appears alongside 10th century, 19th Century, A16Z.

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Battle of Armageddon
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October 22, 2025
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October 22, 2025
October 22, 2025 · Original source
We can do better. Earlier this year, at the Manifest forecasting conference in Berkeley, I gave a presentation titled “Forecasting Transformative AI Using The Book Of Revelation”. Given the renewed interest in this topic, I repost it below, in written form, with slight edits. The first two-thirds, including the section on the Antichrist, is free. In deference to the injunction by prior researchers on this topic not to “cast one’s pearls before swine”, the last third (including the Whore of Babylon, the Battle of Armageddon, and the New Jerusalem) will be paywalled.
The final three sections of this post - one on the Whore of Babylon, one on the New Jerusalem, and a section on the Battle of Armageddon that summarizes the other and presents my blow-by-blow theory of how the Apocalypse happens - are part of the secret teachings, ie below the paywall.
Baumol effects

Baumol effects is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 04, 2021 and October 04, 2021. The archive places it in contexts such as "I think Baumol effects offer a tidy explanation here". It most often appears alongside 19th century African art, 20th century, 9-11.

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Baumol effects
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October 04, 2021
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October 04, 2021
October 04, 2021 · Original source
I’m harping on furniture because it avoids a lot of the complicating factors in architecture. There isn’t some vague collection of “elites” making our furniture decisions. It’s a pretty free market! There are lots of normal middle-class people spending big chunks of money on furniture, lots of them really really like the old stuff, and the old stuff is still either unavailable or unaffordable. It seems like it used to be affordable - it wasn’t just kings and dukes who had the old Art Nouveau stuff - but for some reason that’s changed. I think Baumol effects offer a tidy explanation here, and if we use them to explain furniture, then they start looking really attractive for architecture.
Baumolists

Baumolists is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 04, 2024 and December 04, 2024. The archive places it in contexts such as "contra the Baumolists, our modern industrial civilization could produce ornament cheaper than ever". It most often appears alongside 3D printing, Abercrombie & Fitch, AI.

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Baumolists
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December 04, 2024
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December 04, 2024
December 04, 2024 · Original source
Cost-cutting was simple: cut out all the artisans, and buildings cost less. Sam Hughes at Works In Progress has done a great job showing that, contra the Baumolists, our modern industrial civilization could produce ornament cheaper than ever if we wanted to. But it’s even cheaper to not produce it. In the old days, cutting costs like this would have been unthinkable; your building would have stood out as an eyesore. But if every building is an eyesore, then spending extra on your building makes it look froo-froo, plus the extra money starts to seem irresponsible:
Baumol’s cost disease

Baumol’s cost disease is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 30, 2024 and July 30, 2024. The archive places it in contexts such as "Some economists have blamed “Baumol’s cost disease”". It most often appears alongside /r/iamverysmart, 4chan, Achilles.

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1
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July 30, 2024
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July 30, 2024
July 30, 2024 · Original source
Art Deco architecture, typical of the early 20th century. After (?) the trauma of the World Wars (?), something flipped. Instead of embiggening ourselves, we began to ensmallen. We replaced World’s Fairs with “World Expos”, which Wikipedia describes as “less focused on technology and aimed more at cultural themes and social progress”. Of the few inventions that did feature, more and more were “green tech” - machines aimed at reducing the damage we were doing to the world. The classical goddesses got replaced by murals of ordinary workers, then abstractions, then nothing. The last ticker tape parade for an individual was 1998; since then the (relatively few, comparatively small) parades have all been for classes of people (NYC’s most recent was for “COVID-19 Essential Workers”). Our buildings became smaller and duller. Last month’s Works In Progress magazine tried to investigate why. Some economists have blamed “Baumol’s cost disease” - as industrialization makes some things (like consumer goods) cheaper, other things (like skilled labor) become relatively more expensive. So maybe the rising cost of skilled labor put buildings like the one of the left out of reach. But Works In Progress found that wasn’t true; if anything, industrialization has made fancy buildings cheaper. They concluded that it was “a story of cultural choice, not of technological destiny” - in other words, people stopped wanting impressive buildings. The vibes were wrong, or something. Intellectuals started feting ideas like degrowth. Degrowth says that it’s gross, greedy, and unsustainable to want economic progress. Instead, we should deliberately aim for economic regress, until First World GDPs are closer to those of South America or Africa. Advocates are careful to emphasize that as long as we take common-sense steps (like implementing socialism), this won’t force anyone to starve to death, just get rid of our useless luxuries - and in some sense, wouldn’t that make us better off?3 The promised future utopia was replaced by almost unbroken dystopianism. Global warming will kill us all, or maybe we’ll be stuck in a cyberpunk world of hopeless soul-crushing inequality. Technological advance is interesting only insofar as it brings our cyberpunk hell closer and (unfairly) enriches some billionaires along the way. The only bright spots are occasional acts of voluntary ensmallening - power plants cancelled, products banned, indigenous tribes winning little legal triumphs over modernity. Live-people goals like “build giant skyscrapers!” and “go to the moon!” could have been followed up with even greater live-people goals like “tile the desert with solar plants”, “create genetically-engineered superbabies”, “get one billion Americans”, or “cure all diseases”. Instead, they’ve been replaced by dead-people goals like “don’t damage the traditional character of communities” or “don’t damage the environment”. If you Google “why aren’t there world’s fairs?” you get a link to this podcast, which explains that they had “useless gizmos”, that the towers were “unattractive”, and that it involved “a dismal thread of racism”. Also because “technology won’t save us”. I agree that this doesn’t literally say the words “we hate all life” - you either see it or you don’t. Parts of this vibe shift still confuse me, but the zoomed-out version seems clear enough. The old pro-embiggening world was complicit in moral catastrophes - racism, colonialism, the Holocaust, the destruction of much of the natural world. At some point these atrocities caught up to and outpaced its very real accomplishments, and society stopped being proud of itself and shifted to a harm-reduction approach. Nobody comes out and says outright that harm reduction necessarily has to mean doing as little as possible and trying to make yourself smaller and less impressive and sadder and uglier until you curl up into a tiny point and disappear. But “slave morality” and “master morality” are attractors; if you select too hard for part of one, you end up with the whole package. VI. Andrew Tate I originally wanted to explain to Bentham’s Bulldog why slave morality wasn’t obviously “the good one” and master morality “the bad one”. Lest I come down too hard and get you thinking that master morality is obviously “the good one”, let’s talk about Andrew Tate. In case you’ve been under a rock your whole life, Andrew Tate is a masculinity influencer. He’s a former world champion kickboxer who pivoted to self-help, sold scammy courses on business and relationships, and got rich. Some of his courses apparently recommended beating up women (I’m not sure if this was supposed to help your business or your relationship), and when people confronted him on this, his response was always “I’m strong and successful and own a Bugatti, which makes me better than you, you pathetic weakling failure”. He was credibly accused of rape (by “credibly” I mean that he sent one of the victims a text message saying “I love raping you”) and when people tried to cancel him over this, his response was always “I’m strong and successful and own a Bugatti, which makes me better than you, you pathetic weakling failure.” Finally he was indicted on one billion counts of sexual assault, human trafficking, and being a general scumbag of a human being; he is currently awaiting trial. Tate has, in some sense, many good qualities. He’s strong, athletic, and motivated. He earned tens of millions of dollars through hustle and hard work. He’s charismatic and compelling and, before his arrest, was one of the Internet’s most iconic influencers. I think master morality has to approve of all these things. Still, he’s obviously a jerk. This is exactly the situation that Nietzsche believes slave morality evolved for - letting me feel contempt for someone who’s stronger and richer and more successful than I am - and yup, now that I’m in this situation, I find myself definitely interested in a moral system that lets me do this. The obvious compromise goes something like: We can genuinely appreciate that Andrew Tate has the many good qualities listed above.
Bavarian Illuminati

Bavarian Illuminati is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 29, 2022 and December 29, 2022. The archive places it in contexts such as "Bohemian Grove and (through them) the Bavarian Illuminati". It most often appears alongside Adnan Ihsan Saeed al-Haideri, Adobe Illustrator, Ahmed Chalabi.

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Bavarian Illuminati
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1
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1
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December 29, 2022
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December 29, 2022
December 29, 2022 · Original source
This story claims that former Supreme Court Justice Antonin Scalia died while in the lodge of a secret society with links to Bohemian Grove and (through them) the Bavarian Illuminati.
Bavarian Minister of Justice

Bavarian Minister of Justice is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 04, 2023 and August 04, 2023. The archive places it in contexts such as "Franz Guertner, the Bavarian Minister of Justice". It most often appears alongside Academy’s School of Architecture, Adolf, Adolf Hitler.

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1
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August 04, 2023
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August 04, 2023
August 04, 2023 · Original source
Although Ludendorff was easily the most famous of the ten prisoners in the dock, Hitler at once grabbed the limelight for himself. From beginning to end he dominated the courtroom. Franz Guertner, the Bavarian Minister of Justice and an old friend and protector of the Nazi leader, had seen to it that the judiciary would be complacent and lenient. Hitler was allowed to interrupt as often as he pleased, cross-examine witnesses at will and speak on his own behalf at any time and at any length—his opening statement consumed four hours, but it was only the first of many long harangues.
Bayesian

Bayesian is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 05, 2021 and May 05, 2021. The archive places it in contexts such as "a Bayesian would call it a prior". It most often appears alongside Father Ted, Jungian, Kleinian.

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Bayesian
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1
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May 05, 2021
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May 05, 2021
May 05, 2021 · Original source
Or maybe it's more about cognitive flexibility. You start with a model - people are like this. A Jungian would call it an archetype, a cognitivist would call it a schema, a Kleinian would call it an object, a Bayesian would call it a prior. Then when you get extra evidence, you update away from your prior. So you start off thinking the average person likes presents. Then someone says they don't. You may not want to update an infinite amount from this one comment; maybe you misunderstood them, maybe they're just having a bad day, maybe they're more normal than they think but don't understand themselves very well (the local four-year-old recently announced she had no sense of taste, something we're pretty sure is some kind of weird game she's playing with herself and not true at all). So you have to make some particular finite update. If you're bad at calibrating updates, maybe getting told "I don't want a present" isn't enough to convince you not to give someone a present.
Bayesian analysis

Bayesian analysis is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2024 and April 09, 2024. The archive places it in contexts such as "Michael Weissman’s Bayesian analysis here". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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Bayesian analysis
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April 09, 2024
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April 09, 2024
April 09, 2024 · Original source
(The one argument I know about, haven’t responded to, and it really is because I’m lazy and scared and bad is Michael Weissman’s Bayesian analysis here. It’s 25,000 words and uses a bunch of logits and calculus. Sorry, pass.)
Bayesian math

Bayesian math is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "and go back to normal boring impure reasoning like the rest of us, where you vaguely gesture at Bayesian math". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

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Bayesian math
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March 28, 2024
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March 28, 2024
March 28, 2024 · Original source
I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Abandon the Rootclaim methodology, and go back to normal boring impure reasoning like the rest of us, where you vaguely gesture at Bayesian math but certainly don’t try anything as extreme as actually using it.
Bayesian priors

Bayesian priors is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 01, 2023 and July 01, 2023. The archive places it in contexts such as "one of the public’s Bayesian priors". It most often appears alongside 1960 Valdivia earthquake, AEC, Atomic Energy Commission.

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Bayesian priors
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July 01, 2023
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July 01, 2023
July 01, 2023 · Original source
Fun fact: There are about 40,000 generations of neutrons every second. This is something the public is dimly aware of because, well, weapons. The known speed of these feedback loops is probably a source some of the public’s hesitation around nuclear energy - one of the public’s Bayesian priors, if you like to frame it in terms of logic. But it’s not a topic I’m going to dig into here.
Bayesian reasoning

Bayesian reasoning is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "uses Bayesian reasoning, a branch of math that explains the right way to weigh evidence". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

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Bayesian reasoning
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1
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March 28, 2024
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March 28, 2024
March 28, 2024 · Original source
His method - called Rootclaim - uses Bayesian reasoning, a branch of math that explains the right way to weigh evidence. This isn’t exactly new. Everyone supports Bayesian reasoning. The statisticians support it, I support it, Nate Silver wrote a whole book supporting it.
But the joke goes that you do Bayesian reasoning by doing normal reasoning while muttering “Bayes, Bayes, Bayes” under your breath. Nobody - not the statisticians, not Nate Silver, certainly not me - tries to do full Bayesian reasoning on fuzzy real-world problems. They’d be too hard to model. You’d make some philosophical mistake converting the situation into numbers, then end up much worse off than if you’d tried normal human intuition.
Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Bayesian statistics

Bayesian statistics is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 21, 2023 and July 21, 2023. The archive places it in contexts such as "he introduces us to Bayesian statistics and its merits over Frequentism". It most often appears alongside 2008 Financial Crisis, 2023 book review contest, 30-Year Mortgage.

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Bayesian statistics
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July 21, 2023 · Original source
Like any good Bayesian, he introduces us to Bayesian statistics and its merits over Frequentism, then points us to the work of Eliezer Yudkowsky to learn more.
Bayesian updating

Bayesian updating is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 25, 2024 and January 25, 2024. The archive places it in contexts such as "That's not what you see in normal Bayesian updating". It most often appears alongside 1979 study on capital punishment by psychologists, 2016 election, Big Government.

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Bayesian updating
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January 25, 2024 · Original source
More scientifically literate people are more likely to have partisan positions on science (eg agree with their own party's position on scientifically contentious issues, even when outsiders view it as science-denialist). If they were merely biased, they should start out wrong, but each new fact they learn about science should make them update a little toward the correct position. That's not what we see. Rather, they start out wrong, and each new fact they learn, each unit of effort they put into becoming more scientifically educated, just makes them wronger. That's not what you see in normal Bayesian updating. It's a sign of a trapped prior.
Bayesianism

Bayesianism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 30, 2025 and May 30, 2025. The archive places it in contexts such as "which has a long history in conversations about Bayesianism"; "who developed Bayesianism further". It most often appears alongside 3Blue1Brown, Aella, Alasdair MacIntyre.

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Bayesianism
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May 30, 2025 · Original source
Over the years quite a few folks have attempted to explain it clearly. Eliezer wrote his famous essay back in 2003 (which Khalid Azad helpfully summarized in 2007), Scott’s written about it a number of times, Steven Pinker takes a whack at it in Rationality, Julia Galef speaks about it on BigThink, and so on and so forth. Recently, there’s even been a book explaining Bayes to babies. Bayesianism has become quite a racket!
Let’s look at the examples that the explanations use. The classic example (which is used by Eliezer, and which has a long history in conversations about Bayesianism) is mammograms — obviously, pretty far away from the concerns of most middle schoolers. The Bayes baby book does better, asking whether a random candy-less bite of a cookie is more likely to have been taken out of a cookie that has no candy pieces at all, or from one which has a few. Everyone loves candy, so this is sort of relevant [footnote: My two-year-old particularly loves this book, by the way, though she screams “BALL!” when she sees the colored candy pieces.], but it doesn’t exactly grab the emotions.
Then look at who developed Bayesianism further. What community championed it? What sorts of things were driving them? Dear reader, we are that community! And why did we throw ourselves into Bayesian reasoning so fully? Certainly different people can give different answers, but my understanding is that many of us got interested in order to win online arguments against morons. My own start wasn’t particularly “relevant” to anything else I was doing: I got into Bayes to debate the historicity of Jesus. The people I see using it the most these days are mostly partisans (on both sides) of the God wars.
Bayes’ Rule

Bayes’ Rule is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2021 and September 29, 2021. The archive places it in contexts such as "By Bayes’ Rule, you should believe evidence for plausible things more than you believe evidence for implausible things". It most often appears alongside Amazon, Andrew Jackson, Barack Obama.

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Bayes’ Rule
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September 29, 2021 · Original source
This is another one with some subtlety. By Bayes’ Rule, you should believe evidence for plausible things more than you believe evidence for implausible things. If my friend says she saw a coyote out in the California hills, I believe her; if she says she saw a polar bear, I am doubtful. I think the best you can do here is understand that, a giant meta-analysis proving telepathy is false doesn’t force a believer to change her mind any more than a giant meta-analysis proving it’s true forces you to change yours.
BBB

BBB is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 14, 2025 and August 14, 2025. The archive places it in contexts such as "difficulty crossing the BBB into brain tissue"; "challenges in crossing the BBB". It most often appears alongside A. Bejanin, A. de Calignon, A. Elobeid.

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BBB
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August 14, 2025 · Original source
In all mature antibodies so far, they have been attended with not-great side effects: brain swelling and bleeding, for reasons related to their difficulty crossing the BBB into brain tissue where they’re actually needed. A new generation of antibodies will cross the BBB, improving efficacy and safety.
This of course isn’t a general refutation of outsiders criticizing any field, as sometimes such criticism is necessary and right. But it does illustrate the need for patience when specialists are attempting something hard and unprecedented. Curing Alzheimer’s disease is much harder than landing a rocket. It’s important to understand the reasons for therapeutic failures (in this case, failure to engage the target) and underwhelming successes (probably due to treatment late in the disease progression, plus the challenges in crossing the BBB), to put that in the context of the scientific evidence from the basic research (which is very strong in this case), and to consider how compelling the alternative hypotheses are (not very).
BBQ pork rice

BBQ pork rice is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 26, 2021 and February 26, 2021. The archive places it in contexts such as "I ordered their vegetarian takes on ... BBQ pork rice". It most often appears alongside American Chinese food, Bay Area, Berkeley.

Reference entry
BBQ pork rice
Mention count
1
Issue count
1
First seen
February 26, 2021
Last seen
February 26, 2021
February 26, 2021 · Original source
This is a vegetarian Chinese restaurant. Their website doesn’t list any inspirational backstory or whimsical daydreams, so I assume they’re a front for the mob. I ordered their vegetarian takes on Mongolian beef, BBQ pork rice, and General Tao's chicken.
BBS

BBS is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 27, 2023 and April 27, 2023. The archive places it in contexts such as "being a BBS SysOp". It most often appears alongside 286, 8088, Adorno.

Reference entry
BBS
Mention count
1
Issue count
1
First seen
April 27, 2023
Last seen
April 27, 2023
April 27, 2023 · Original source
…where Sam fills in the northwest and southeast squares, then claims a correlation, draws a line, and points to high-status/deep-engagement as a single unified concept. But the southwest square could be “writes a wacky Shakespeare fanfiction, Romeo & Juliet II, in blank verse and period-appropriate language”, and the northeast square could be “publishes a dissertation on some irrelevant aspect of word frequency changes across English plays to prove something about linguistics”. And then having conflated these two things, he goes on to conflate a third thing, Shakespeare vs. Marvel. I’m not up to date on what goes on in academic literature departments, but Freddie de Boer says they’re increasingly offering “Spiderman Studies” classes in attempts to stay culturally relevant; probably Spiderman professors engage with Spiderman on the same deep level that Shakespeare professors engage with Shakespeare. If we made this a cube - high-status vs. low-status forms of engagement along one axis, Shakespeare vs. Spiderman along another axis, and deep vs. shallow engagement along the third - would anything be left of the “nerd” cluster as Sam describes it? I’m not sure. 2. Comments With Strong Opinions On The Definition Of Nerds, Geeks, Etc There were many of these. One common theme was that in the 70s, “nerd” was almost synonymous with “person who is only into unpopular things”, for example sci-fi, comics, and RPGs, all of which were unpopular in the 70s. Then those things became very popular, but the people who were interested in them still get called “nerds”. So now people like Kriss use “nerd” almost synonymously with “person who is only into popular things”. So we have a word which denotes either interest in unpopular things or interest in popular things, depending on who’s using it and when they last updated their lexicon. In the 70s, it was more reasonable to group “interested in math and computers” and “interested in sci-fi and RPGs” together, because both were unpopular and tended to involve the same group of socially maladept young men. Now math is still hard and unpopular; computers are hard in the sense that it’s tough to learn programming languages, but universally used and beloved; sci-fi and RPGs are very popular, and the typical sci-fi fan is closer to a socially-adept albeit “quirky” young woman. If words are hidden inferences, the inference represented by “nerd” - that sci-fi fandom, interest in math, interest in computers, maleness, poor social skills, and nonconformity with mainstream interests all go together - is now thoroughly false, dooming us to conversations like this one. Attempts to repurpose the several different words used to refer to the math/sci-fi/awkward/unpopular cluster to represent different aspects of its successor clusters have mostly failed. Sample comments from this section: Coagulopath writes: To me, being a nerd requires a degree of swimming against the cultural tide. It's weird and unpopular to be into trains, so the fact that you are indicates you have a bit of character (or are socially oblivious, which is also kind of endearing). The problem (and I think Kriss alludes to this) is that nerd stuff went mainstream in the past few decades. Of the 10 highest-grossing movies of the 2010s, 6 are Star Wars or Marvel films. There's no longer any sense that nerds are the underdog. But what does it say about you when you wear a Star Wars shirt? You're pledging allegiance to the biggest, most popular club imaginable. Is that a brave stance? Those people always make me think "if you lived in the SW universe, you'd be on the side of the Empire". In general, I am creeped out by effusive public adoration for things that are near-universally loved. Like The Beatles. Or bacon. Or dogs. Or science (Neil DeGrasse Tyson's whole shtick). Regardless of how I feel about those things on the object level, there's no glory in joining a culture war when you're signing on to the winning side. Tolaughoftenandmuch writes: All this is so different from when I was a kid. I was a nerd because I was intellectually curious, bad at and disinterested in sports, socially awkward, and had a computer hobby (owning hardware C64 ->8088 ->286, writing programs in Basic, being a BBS SysOp). Cultural interests were irrelevant to my nerd status. In terms of exactly when nerd interests started becoming popular, Ghatanathoah writes: I also wouldn't say that nerd stuff only went mainstream in the last decade, it's not like the first 3 Star Wars movies were obscure arthouse pictures. I think the reason Marvel took off is just innovations in storytelling: movie producers finally figured out a way to adapt the gloriously arcane and convoluted lore of superhero comics in a way that could appeal to mainstream audiences in addition to nerds (much how George Lucas figured out how to get mainstream audiences to love the space operas nerds had been enjoying for decades before 1977). And Melvin writes: Comic book movies had always been pretty popular. Superman was the top grossing movie of 1979 despite coming out in 1978. Superman 2 was the second top grossing movie of 1981. Batman was the second top grossing movie of 1989. Batman Returns was the top grossing movie of 1992. Batman Forever was the top grossing movie of 1995. Spider-man was the third top grossing movie of 2002 (behind Lord of the Rings and Harry Potter movies). That's about all I can be bothered looking up right now but you get the idea, superhero movies have been popular since the 1970s. Kaitian writes: I think being a nerd requires being a bit socially clumsy about your interest, and talking or signalling about it in situations where most people don't expect it. So being a nerd about completely mainstream stuff like pop music or football is not possible, that's just fandom. Being a nerd about very well known and relatively well-respected stuff like classical music or birdwatching is rare, because most people who are classy enough to care about the thing in the first place are also classy enough to know when to shut up about it. But comics? Star trek? Power metal? They have fairly low barriers to entry *and* most people don't care about them, so there's plenty of opportunities to bring it up to people who don't want to hear about it. So that's why I think nerdery usually attaches itself to the typical targets. J.R. Leonard has as good a terminology proposal as anyone: I think what's missing is that Kriss uses "nerds" as his foil, but what he's talking about would better be described as fan culture. Deiseach teaches us the etymology of “geek”. The very distant etymology is from German gek, a relative of “cackle” → geck, a fool/madman (who was presumably cackling all the time). But this comes down to us through the early American institution of the geek show. From Wikipedia (cw: disturbing): Geek shows were an act in traveling carnivals and circuses of early America and were often part of a larger sideshow. The billed performer's act consisted of a single geek, who stood in the center ring to chase live chickens. It ended with the performer biting the chickens' heads off and swallowing them. The geek shows were often used as openers for what are commonly known as freak shows. It was a matter of pride among circus and carnival professionals not to have traveled with a troupe that included geeks. Geeks were often alcoholics or drug addicts, and paid with liquor – especially during Prohibition – or with narcotics. More obvious but I went surprisingly long without realizing it: “fan” (as in “sports fan”) is just short for fanatic. 3. Comments About Collecting The veteran collectors in the comments said that my theory (the Internet makes collecting too easy) was only a small part of the decline. The bigger part is that most coin collecting begins with the wonder of finding a rare coin in your change, and most stamp collecting begins with the wonder of finding a rare stamp on your mail, and the rise of credit cards and emails means people aren’t handling coins and stamps as much in their daily lives. Tom Metcalf writes: I'd guess many coin collectors got their start being patient enough to sort through change to see if they had e.g. a wheat cent or silver dime, but first of all, who pays with cash and gets change, and the chances of finding something collectible are orders of magnitude smaller than, say, the '90s. And stamp collectors would have started saving the stamps on mail sent to their house, but how frequently do you get stamped mail anymore? My 79-year old father goes to stamp shows, because one of his hobbies is to buy sheets of old but common unused stamps for less than face value. They are still valid postage, and then he uses them to personalize the stamps he puts on letters he sends to various people. And most of the other people at stamp shows are about his age. He does have some stamps he thinks are interesting that he's held onto, but the dealers at the stamp shows think they're common and uninteresting. So there's a decreasing number of stamps that might be "worth something" and a net loss of collectors in the hobby, and then every time a collector dies and his heirs have no interest in his collection and that many more stamps make their way to dealers who now have one less buyer. Too bad "sending paper letters with vintage but still valid stamps" never caught on with the hipsters. Art writes: The widespread adoption of email created a world where a letter is almost certainly junk mail or a bill. Nobody looks forward to hearing from a good friend from across the country now when picking up the day’s mail. If letters are not interesting why would stamps? The same for coins. Nobody uses cash, and getting a pile of coins with no significant value (inflation) is just an annoyance. These objects have passed into irrelevance. Still, it seems like some little pieces of joy and wonder have passed from our lives. Nathan Savir writes: I collect coins and I think the description of the hobby (and its putative death) isn't quite right. 1. Rare coins are in fact hard to find, even in today's internet world. They are usually sold in auctions, which might happen online, but still not that frequently. It's not unusual for examples some specific rare coin to be sold only once every few years. If the coin is also obscure, it may not be prohibitively expensive, so this kind of situation isn't the sole province of rich people. 2. One area of collecting is to get all the rare items. Another is to get all the minor varieties of a common item. These varieties may not be very rare, but it still takes a lot of effort to be able to distinguish them and to find them. Some collectors will obtain large numbers of relatively common coins and sort through and scrutinize them to try to identify interesting varieties. 3. An important part of collecting is getting good deals. This is surely a lot harder than it used to be because sellers can more easily figure out what things are worth and you won't find something grossly underpriced in a random antique store as often these days. But filtering through buckets (or online listings) of large numbers of coins can still be fun and lead to spotting good deals. So I think there is room in the hobby for nerd-like behavior (per your definition). I would argue the decline of the hobby is more due to competition from other similar hobbies (a generation ago you could collect stamps, coins, baseball cards, or rare books/comics - now you can collect beanie babies, Pokemon cards, NFTs, funko pops, action figures, etc.). I think stamps have suffered more than coins because stamp collecting has more of an aesthetic component (which has faced stronger competition) while coins have a historical element that is less well replicated by collecting newer things. This difference isn't obvious in the google trends graphs you posted but I believe is observable from looking at prices of stamps vs coins. I asked Nathan what coins he collects that are still tough to find, and he gave the example of this Yuan dynasty coin from 1350. I guess if you want to be a collector in 2023 you need to go hard. Arrk Mindmaster writes: I used to collect US coins from every denomination, year, mint, and variety (such as large and small date 1960 pennies). It was kind of like a treasure hunt, knowing you could find something in circulation that was actually more valuable than most people thought it was. I lost interest in the late 1980s sometime, when I found the volume of new coins dwarfed older coins. For example, for Lincoln pennies, they used to make a few million per year, then a few tens of millions. In the 80s, they started making about 5 BILLION each, and it started drowning out all of the old coins, which basically stayed the same value. This comment snapped some things into place for me; I collected coins as a kid in the 90s, and older coin collectors would talk as if you could spot some pretty rare things in your pocket change. But I had much worse luck, and it’s been years since I’ve even found a wheat cent in circulation (even when I was a kid this would happen occasionally). Maybe coin collecting is dying not just because we don’t use change, but because our change is less likely to have interesting coins in it. Another victim of mass money printing! The new state quarters sort of fix this, but other commenters express contempt for this. It feels like the transition between old myths (which one can enjoy) to the Marvel Cinematic Universe (which corporations are begging you to enjoy in a pre-approved way) - now that the Mint wants you to collect their coins, it feels kind of slavish to comply. Other people point out that the collecting of things other than stamps and coins is still going strong. Drethelin: Collecting has not in the slightest died out. People collect more things than ever, like sneakers, funko pops, vintage cars, guns, antique ceramics, anime figurines, magic cards, etc. Some people also brought up NFTs - are there lots of people who truly enjoy collecting NFTs, aren’t just in it for the investment value, and have kept up through the crypto bear market? 4. Comments Insisting That Sports Are Good Aris C writes: It's a little glib to dismiss sports as bad, isn't it? Athletes display extreme skill, sometimes transcendent. I don't think watching people push the limits of human ability is obviously bad. When I said sports were bad, I didn’t mean this as a final value judgment. I meant that, by our usual standards of entertainment, sports are bad. Imagine a sitcom which had several thousand episodes, each with the exact same plot (some people try to get a ball from one side of the court to the other). At some point, surely most people would stop watching! I appreciate the something something human spirit, and I’m happy to know that, somewhere in the world, sports are happening. It’s just the decision to actually watch them that confuses me. 5. Comments About Enjoying Things Vs. Building Identities Around Them Many people complained that some combination of me and/or Sam Kriss were denying that anyone can ever enjoy anything except as an attempt to “gain status”. I would answer first that yes, I think most behavior has some status component (although it may be a small component, mixed with genuine enjoyment). But also, it doesn’t seem mysterious that some people eg like Star Wars, or even love Star Wars. What seems mysterious to me is when this expresses itself as desire to buy thousands of dollars of figurines in the original boxes, or memorize the stats of every class of ship in the Imperial Navy, or something else which doesn’t seem very fun on its own merits. I’m not criticizing others from a place of invulnerability here. When I was ~14, I got really into Star Wars, and aside from reading all the Extended Universe books - some of which were genuinely very good - for about a year I spent all of my allowance and a good fraction of my free time obtaining Star Wars collectable cards associated with an M:TG style card game (which I never got around to playing). My parents probably still have them somewhere. I cannot at all retrace what led me to do this, but I appreciate commenters’ less cynical explanations. For example, enchantingacacia writes: I think it's honestly sort of funny how non-nerds seem to genuinely not understand that a nerd's identity becomes about [thing] because they like it so much, not the other way around. Sometimes you encounter a thing—let's say it's Minecraft, because why not—and it's just such a positive experience for you that you take every possible opportunity to keep thinking about Minecraft, even when you're not playing. You collect every scrap of information you can find about Minecraft and you compose your own original Minecraft-related songs and you decorate your room with blocky little figurines. You get into a virtuous cycle where talking and thinking about Minecraft is so rewarding that you keep enjoying all these secondary activities long after you're bored of actually playing Minecraft itself. You look out for opportunities to meet people who'd enjoy talking about Minecraft with you and make a bunch of friends with whom you mostly talk about Minecraft, and your friends and family start seeing you as "the Minecraft guy" and they get you a Minecraft hoodie for Christmas cause they know it's a safe pick. This is the obvious and intuitive explanation! There's no need to get fake-deep about "ah, they got into Minecraft so they'd have something to construct their identity around": it explains nothing, and consistently makes incorrect predictions about the internal experiences of Minecraft nerds. It's only virtue is making people feel better about being annoyed by those weirdos who won't shut up about Minecraft. It's possibly that I have unusually low social motivation (genuinely, what does it mean to "construct your identity" and why is it something people would be this comically desperate to do?) and am typical-minding, but, uh, I wonder if there's any group closely associated with "nerds" who are also known for having low social motivation? I think it's a tad more likely that people like Kriss are typical-minding, and constructing elaborate social motivations for people who just like stuff regardless of what people like him think. This is a good comment which avoids buck-passing-style “I enjoy it because it’s fun” explanations. Along the same lines, odd anon writes: It is only among nerds that enthusiasm for something corresponds to learning more and more about it. That's the core element here. Non-nerds who like something do not feel any need to read up on it, to know more and more. Of course, the producers of content notice when their audience are nerds, and they start to produce content built more for those who obsessively learn every detail. Comics can start "rewarding" readers for noticing some obscure thing. A game series can have an elaborate continuity, or a zillion details to memorize. Content that either "leans into the fandom" or simply naturally has too much for non-nerds to easily pick up, can rapidly become nerd-only, thus solidifying boundaries. And sure, there are the personality correlations, attributes most nerds also have, including being STEM-y and lacking social skills. Combined, a nerd ended up being an unpopular thing to be. Ghatanathoah is less patient: Both Kriss' essay, and Scott's response to it, remind me of the "Evil Cannot Comprehend Good" trope from TV tropes, except replace "Evil" with "Very socially motivated people" and "Good" with "Less socially motivated people" (although honestly both sets have a lot of overlap). Both essays seem obsessed with finding some deep, social reason why hipsters and nerds behave the way they do, like the supervillain who is telling the hero that they are "Not So Different." They literally can't comprehend the idea that someone could actually like something, so they try desperately to find some way that liking things isn't something people actually do. People couldn't actually like Star Wars, sportsball, the MCU, or the Beatles, they must be liking them to achieve some social goal like forming an identity or seeking status! This is one of the two giant flawed assumptions that invalidates the theses of both articles (the other one, of course, is the assumption the the MCU is bad, when it is, in fact one of the human race's greatest artistic achievements*). If you assume that it is possible to like things for non-social reasons, or even in addition to social reasons, hipsters and nerds make much more sense. The reason that nerds like both popular stuff like the MCU, and less popular stuff like postage stamps is because they don't care about if something is popular, they care about if it fascinates them. Whether that thing is popular is orthogonal to how fascinating it is. That fascination makes them invest a lot of time and effort in it, which in turn makes it part of their identity. They weren't trying to find something to form and identity first and picking Star Wars, identity formation was just a side effect. Similarly, hipsters probably just get bored with things they see frequently and want to seek out new things to be interested in. Making obscure things part of their identity comes second, if at all. Also Ghatanathoah: Scott asks if its ever okay to build your identity around liking a thing. I would ask if it's ever okay not to? What's the alternative, building it around social status games or large nonselective identity groups? It seems to me that liking something isn't just a good thing to build your identity around, it's one of the best things to build it around. After all, unlike social status games, you can like something without forcing other people to not like it. This is a good question, well-phrased. I think the traditional answer is that you should build your identity around social relationships (I’m the son of X, husband of Y, friend of Z), career, and maybe a few hobbies. I agree with this as far as it goes, but it doesn’t work for a lot of practical tasks - I can’t get common ground with someone at a party or start a conversation by introducing myself as the son of X or husband of Y - most people just won’t know X or Y. Some people linked a Freddie de Boer post, Your Personality Has To Be Load-Bearing, which is generally good but I think has a similar problem. Obviously you should have a genuine and complex personality, but I worry a lot of people who talk about this will reject every specific aspect of personality because “it’s not, in itself, a full complex personality!”, but you can’t have a personality without building it out of specific aspects. A lot of people’s default personality, if they just do exactly what comes naturally and don’t put any effort into self-presentation or cultivation, is to browse Reddit and play video games. Most people realize this on some level and try to cultivate some personality beyond this, but I think that makes it extra unfair to say “Just use your natural true self!” The natural true self is exactly the boring thing we’re trying to get away from in favor of becoming a more interesting person. I’m trying to think if I have a personal answer to this. Part of my answer is the EA and rationalist communities. This has some downsides; I’m thinner-skinned about insults to these groups than I should be; some people might think I’m a fanatic. It also has some upsides; they embody real values I like, they try to make a difference in the world, they’re not consumer properties that make me feel like a corporation is pulling my strings. But my real answer is probably “I cheat by having a popular blog; this means you all know everything about me and I don’t have to fit my personality into a ten-second elevator pitch”. Maybe this is the traditional solution, from back when everyone knew everyone else in their community. It sure doesn’t feel adequate now, back when (non-bloggers) are constantly meeting strangers and having to communicate their identity to them quickly. My internal hierarchy of things it’s virtuous to build identity around, which is probably a weird class artifact and which I absolutely don’t consciously endorse, goes something like: Top-tier: Intellectual subfields, especially obscure ones or ones involving pure abstract math. If you can say “I’m really into trans-finite 8-dimensional Hoffdorf groups” and justify this with a discussion of how innately beautiful they are, you’ve got it made.
BCS3-L1

BCS3-L1 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 07, 2023 and December 07, 2023. The archive places it in contexts such as "When talking about BCS3-L1 'taking over' the mouth, this just means it takes over the streptococcus mutans niche". It most often appears alongside Aaron, Aaron Silverbook, Aella.

Reference entry
BCS3-L1
Mention count
1
Issue count
1
First seen
December 07, 2023
Last seen
December 07, 2023
December 07, 2023 · Original source
1: What is BCS3-L1?
BCS3-L1 (brand name “Lumina”) is a genetically-modified strain of the tooth decay bacterium streptococcus mutans.
BCS3-L1 has four main genetic modifications:
BDNF

BDNF is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 22, 2021 and February 22, 2021. The archive places it in contexts such as ""neurotrophic hormones like BDNF (brain-derived neurotrophic factor)""; "SSRIs -> serotonin -> BDNF -> TrkB". It most often appears alongside Antidepressant drugs act by directly binding to TrkB neurotrophin receptors, California, Derek Lowe.

Reference entry
BDNF
Mention count
1
Issue count
1
First seen
February 22, 2021
Last seen
February 22, 2021
February 22, 2021 · Original source
We understand parts of the pathways that regulate synaptic growth. When the body wants more synapses, it releases neurotrophic hormones like BDNF (brain-derived neurotrophic factor). These activate various receptors including tropomyosin receptor kinase B (TrkB, affectionately pronounced "track B" because it's one of two related pathways for these signals). TrkB then something Ras mTORC something something synaptogenesis now you're not depressed anymore hooray.
Pictured: BDNF binds to TrkB. The IRS confiscates 1/2 of it as taxes, which radicalizes the receptor and makes it join Gab (see footnote 1), where it tweets out an SOS message to the Ras of Ethiopia. But the left wing of the receptor joins the Palestine Liberation Council and moves to California (see footnotes 2+). California has sunshine and good beaches, so you stop feeling depressed. This part sort of makes sense. But it coexists uneasily with other puzzle pieces in our knowledge of depression. For example, we give people SSRIs, their serotonin levels go up, and this makes them feel better. Why? Because of BDNF something TrkB something mTORC something? Probably; mice with dysregulated BDNF/TrkB systems don't benefit from antidepressants. But why does more serotonin cause BDNF something TrkB something? I've looked for years for a paper that says something like "by the way, serotonin makes cells release more BDNF". But despite a few suggestive links I don't see anyone strongly asserting that they understand this.
This part sort of makes sense. But it coexists uneasily with other puzzle pieces in our knowledge of depression. For example, we give people SSRIs, their serotonin levels go up, and this makes them feel better. Why? Because of BDNF something TrkB something mTORC something? Probably; mice with dysregulated BDNF/TrkB systems don't benefit from antidepressants. But why does more serotonin cause BDNF something TrkB something? I've looked for years for a paper that says something like "by the way, serotonin makes cells release more BDNF". But despite a few suggestive links I don't see anyone strongly asserting that they understand this.
beanie babies

beanie babies is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 16, 2021 and April 16, 2021. The archive places it in contexts such as "conventional speculative instruments like beanie babies"; "With conventional speculative instruments like beanie babies or tulips". It most often appears alongside "The Rent Is Too Damn High!", 16th amendment, 1886.

Reference entry
beanie babies
Mention count
1
Issue count
1
First seen
April 16, 2021
Last seen
April 16, 2021
April 16, 2021 · Original source
That's right, they buy it up in a speculative frenzy and hold on to it forever, further driving the price up. With conventional speculative instruments like beanie babies or tulips, the bubble eventually pops. But Land has unique properties that allow this vicious cycle to continue more or less indefinitely. What happens when a city is growing, technology is advancing, improvements are being made to land, and so forth? Land values go up. Sure, speculators can still lose their shirts if a city falls into decline, but this isn't nearly as hard to predict as volatility in penny stocks or what next year's hot Christmas toy will be. So as soon as there's a whiff of progress in a given area everyone starts HODLing land, but not to use it themselves. In fact speculators often keep it out of use, because this forces people to use less valuable land instead, pushing the margin of production down even further, forcing land values up, and now The Rent Is Too Damn High. Georgist pundit geoliberal explains the mindset of a speculator: The only thing investors actually maximize is risk adjusted rate of return. When you know rents will increase, your best return comes from buying extra land, not improving the land you have Illustration courtesy of geoliberal This is how it's possible to have urban blight and slums in areas with extremely high land values. Even if there's a temporary dip in prices, speculators know that if they just keep HODLing the general trend – absent a local collapse – is that land value always goes up. Here's George: Take now... some hard-headed business man, who has no theories, but knows how to make money. Say to him: "Here is a little village; in ten years it will be a great city—in ten years the railroad will have taken the place of the stage coach, the electric light of the candle; it will abound with all the machinery and improvements that so enormously multiply the effective power of labor. Will in ten years, interest be any higher?" He will tell you, "No!" "Will the wages of the common labor be any higher...?" He will tell you, "No the wages of common labor will not be any higher..." "What, then, will be higher?" "Rent, the value of land. Go, get yourself a piece of ground, and hold possession." ...without doing one stroke of work, without adding one iota of wealth to the community, in ten years you will be rich! In the new city you may have a luxurious mansion, but among its public buildings will be an almshouse. I don't think it's a coincidence that real estate is one of the oldest investments on Earth and the principal concern of basically every war ever. V. The Problem Solved We had two questions at the beginning of this book: why are there industrial depressions, and why poverty seems to advance alongside progress. You guess it, it's all because of land and rent. By George, industrial depressions are caused by land speculation Speculation has a tendency to press the margin of production down until it's just past its limit, forcing labor and capital to accept returns so small that it actually hinders production or ceases altogether. The saving grace is that as long as the population is growing and/or technology is improving, productivity will go up, and production will start again. But soon enough the land values go up. This drives speculators bidding up the price of land, anticipating future even higher land values, which stresses the productive margin again. So you get a cycle – productivity rises, economy booms, land values rise, production stagnates or stops. No matter how complicated or sophisticated the economy gets with layer upon layer of financialization and abstraction, when you unravel it all George says this is the ultimate cause. Periods of industrial activity always culminate in a speculative advance of land values, followed by symptoms of checked production This is how you get the baffling situation where able hands are eager and willing to work, capital is ready to employ them, natural materials are abundant, and yet the laborers are idle and the factories stand empty. So that's it for industrial depressions. What about the other paradox of poverty advancing alongside progress? By George, poverty advances alongside progress because of rent The reason why, in spite of increase of productive power, wages constantly tend to a minimum which will give but a bare living, is that, with increase in productive power, rent tends to even greater increase, thus producing a constant tendency to the forcing down of wages. George backs this up with several pages of specific regional figures demonstrating how land values have continued to explode all over the world. By George, on average and in the long run, no amount of hard work from labor, no force multiplication from capital, no increased gain from co-operation and specialization, no labor-saving invention or increase in personal efficiency, work ethic, or morals, can escape the long reach of rent. In short, increased power of production has everywhere added to the value of land; nowhere has it added to the value of labor; George notes that the mass die-off of the Black Death in England in the 1300's significantly reduced the productivity of the individual laborer, and yet wages went up. That's because the decreased population also caused a massive drop in competition for land, in turn causing rents to plummet. (For more detail on this read about the Peasants' revolt, also known as Wat Tyler's rebellion). George says the opposite happened during the reign of Henry VIII, who seized the lands of the church and those held in common by the peasants, and handed them out to newly minted aristocrats, which was followed by suppressed wages. In the reign of Henry VII., half a bushel of wheat would purchase but little more than a day's common labor, but in the latter part of the reign of Elizabeth, half a bushel of wheat would purchase three day's common labor. He sums it all up like this: Material progress cannot rid us of our dependence upon land; it can but add to the power of producing wealth from land; and hence, when land is monopolized, it might go on to infinity without increasing wages or improving the conditions of those who have but their labor. So there's our answer: the monkey wrench that causes the boom-bust cycle of industrial depressions is rent, and even though we have more than enough material wealth to provide for everybody's needs, rent prevents us from distributing it fairly and equitably. Volume II Okay, The Rent Is Too Damn High, and now we finally know why. What are we going to do about it? Insufficiencies of Remedies Currently Advocated George goes down the list of everything we've already tried and why it hasn't worked (or has worked, but less well than we hoped), which you can read about in Appendix C (there's a link that returns here at the end): Appendix C: The Insufficiency of Remedies Currently Advocated The Remedy George says the solution is to make land common property. He doesn't want to confiscate land, or force everyone to live on some giant hippie commune. He proposes instead to let everyone continue to "own" land exactly as they do now, but we should impose a special tax to neutralize the perverse incentives of land rent. He anticipates a lot of pushback on this, and promises that his remedy: Is just
beatniks

beatniks is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2022 and December 01, 2022. The archive places it in contexts such as "Brooks focuses more on the bohemians - beatniks and starving artists". It most often appears alongside Amalgamated Bank, Andover, anti-Semitism.

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beatniks
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December 01, 2022 · Original source
But Brooks focuses more on the bohemians - beatniks and starving artists who voluntarily dropped out of the rat race to pursue their passion. Again, it’s hard to identify these people as a separate group today. Brooks says they were a lot more noticeable before the upper class ate them and stole their skin.
Beauty will save the world

Beauty will save the world is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 28, 2023 and July 28, 2023. The archive places it in contexts such as "Dostoevsky's “Beauty will save the world”". It most often appears alongside 1923 Hyperinflation, Adolf Hitler, All hope abandon, ye who enter here.

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July 28, 2023 · Original source
This is similar to, but not the same as, mindfulness meditation. But I doubt this was directly taken from the Yogic and Buddhist traditions, although as a very well read man, Ernst Jünger would have been at least passingly familiar with their concepts. His beloved Dostoevsky's “Beauty will save the world” seems more likely to have helped him come up with this coping strategy.
Beaux-Arts architecture

Beaux-Arts architecture is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 04, 2024 and December 04, 2024. The archive places it in contexts such as "In the palmy days of Beaux-Arts architecture". It most often appears alongside 3D printing, Abercrombie & Fitch, AI.

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1
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December 04, 2024
December 04, 2024 · Original source
To those philistines who were still so gauche as to say that the new architecture lacked the richness of detail of the old Beaux-Arts architecture … [the modernists] would say with considerable condescension: “Fine. You produce the craftsmen who can do that kind of work, and then we’ll talk to you about it. They don’t exist anymore.” True enough. But why? Henry Hope Reed tells of riding across West Fifty-third Street in New York in the 1940s in a car with some employees of E.F. Caldwell & Co, a firm that specialized in bronze work and electrical fixtures. As the car passed the Museum of Modern Art building, the men began shaking their fists at it and shouting: “That goddamn place is destroying us! Those bastards are killing us!” In the palmy days of Beaux-Arts architecture, Caldwell had employed a thousand bronzeurs, marble workers, model makers, and designers. Now the company was sliding into insolvency, along with many similar firms. It was not that craftsmanship was dying. Rather, the International Style was finishing off the demand for it, particularly in commercial construction.
Bechdel test

Bechdel test is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 22, 2025 and August 22, 2025. The archive places it in contexts such as "Ollantay has anticipated the Bechdel test by two hundred years". It most often appears alongside Andes, Anti, Anti-suyu.

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Bechdel test
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August 22, 2025 · Original source
She does have her own subplot, which I’ll tell in this footnote. The princess is confined to a prison within a religious order. She gives birth off-screen, and her daughter, who she names Yma Sumac, is raised in the convent to be a consecrated virgin. We then jump forward ten years, as Ollantay builds his kingdom in the mountains. Yma does not know that she is secretly Inca royalty, and she despairs at the life set before her. She also is very interested in learning why there is a crying woman behind the walls at the convent. This plot is resolved when Yma’s friend tells her everything and brings her to her mother. Yma then goes to tell the emperor, completely unaware of the events surrounding Ollantay. The emperor sends Yma to fetch the princess and bring her back to Ollantay. At no point do Yma or Ollantay acknowledge that she is his daughter. Wait, you say, wouldn’t it make more sense if Ollantay went to go rescue his wife and daughter after being made viceroy? If he had nothing to do with Yma’s discovery of her true parentage, then why did Yma have to wait ten years before peeking behind a wall to find her mother? These are all good questions! The answer is that Ollantay has anticipated the Bechdel test by two hundred years and so is absolutely determined that any time there are two women in a scene together they must 1) have a conservation with each other that 2) is not about a man.
Beethoven’s Ninth Symphony

Beethoven’s Ninth Symphony is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2022 and September 29, 2022. The archive places it in contexts such as "Dozens of conductors have led performances of Beethoven’s Ninth Symphony". It most often appears alongside 1 Kings 10-11, 2008 Democratic National Convention, Adam Scheffer.

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September 29, 2022 · Original source
It’s a good article. It hits all the points you’re supposed to hit. I still sort of wonder who the audience is. Are there people who haven’t read at least three articles talking about how We Live In An Always On Society? Are there people for whom this is news? I guess there must be. I probably read more news than most people. Any amount of saturating the infosphere with a topic which is sufficient to ensure that the average person has a 50-50 chance of having seen it, probably means I see it at least five times. Still, I could not have written this article. The whole time, I would feel slightly dissociated, like I was reciting lines in a play. Our Society Requires Us To Be Always On. We Talk So Often About The Positive Impact Of Technology, But We Should Also Question What Kind Of World It Is Creating For Us. Still, it’s a good article. Dozens of conductors have led performances of Beethoven’s Ninth Symphony, and those who do it well are rightly celebrated. Maybe there is a similar sort of honor in writing a good We Live In An Always On Society article.
begonias

begonias is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 24, 2021 and February 24, 2021. The archive places it in contexts such as "Declassed also are ... begonias". It most often appears alongside 1950s, 1980s, 1983.

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begonias
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February 24, 2021
February 24, 2021 · Original source
Anyone imagining that just any sort of flowers can be presented in the front of a house without status jeopardy would be wrong. Upper-middle-class flowers are rhododendrons, tiger lilies, amaryllis, columbine, clematis, and roses, except for bright-red ones. One way to learn which flowers are vulgar is to notice the varieties favored on Sunday-morning TV religious programs like Rex Humbard's or Robert Schuller's. There you will see primarily geraniums (red are lower than pink), poinsettias, and chrysanthemums, and you will know instantly, without even attending to the quality of the discourse, that you are looking at a high-prole setup. Other prole flowers include anything too vividly red, like red tulips. Declassed also are phlox, zinnias, salvia, gladioli, begonias, dahlias, fuchsias, and petunias. Members of the middle class will sometimes hope to mitigate the vulgarity of bright-red flowers by planting them in a rotting wheelbarrow or rowboat displayed on the front lawn, but seldom with success.
behavior genetics

behavior genetics is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 03, 2025 and July 03, 2025. The archive places it in contexts such as "leading lights of behavior genetics". It most often appears alongside 23andme, @alextisyoung, Aborigines.

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behavior genetics
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July 03, 2025 · Original source
Lastly, it's not clear to me where the conclusion that well-validated twin studies converge on "similar results" is coming from. To take one example: the leading lights of behavior genetics (Deary, McGue, Visscher, etc) ran a study looking at the relationship between intelligence and lifespan (https://pubmed.ncbi.nlm.nih.gov/26213105/). This is a nice study for us because they put together three large, modern, twin cohorts with IQ measurements, but the heritability of IQ was just a nuisance parameter for them, so they had no reason to scrutinize the findings or file-drawer them. If we look at their MZ/DZ correlations in Table S6 we find that the heritability of IQ was 0.36 in the US sample; 0.98 in the Swedish sample; 0.24 in the Danish sample; and ... 0.52 on average. In other words, all over the place (but averaging out to the nice "half nature half nurture" result you see in books); the authors themselves used an AE model in Table 2 and reported a range of 0.20 to 0.98. This is far greater than the variability we see with GWAS or Sib-Reg, so what are we to make of that?
The median [direct genomic effect] heritability for behavioral phenotypes is .048. Let that sink in for a second. How different would the modern history of behavior genetics be if back in the 80s one study after another had shown that the heritability of behavior was around .05? When Arthur Jensen wrote about IQ, he usually used a figure of .8 for the heritability of intelligence. I know that the relationship between twin heritabilities and SNP heritabilities is complicated, and in fact the DGE heritability of ability is one of the higher ones, at .2336. But still, it seems to me that the appropriate conclusion from these results is that among people who don’t have an identical twin, genomic information is a statistically non-zero but all in all relatively minor contributor to behavioral differences.
behavioral addictions

behavioral addictions is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 13, 2024 and August 13, 2024. The archive places it in contexts such as "maybe even behavioral addictions like shopping". It most often appears alongside alcoholism, Alhadeff et al. (2012), alpha-adrenergic receptors.

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behavioral addictions
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August 13, 2024 · Original source
But Ozempic and other GLP-1 drugs appear to be a promising treatment for alcoholism, smoking, stimulant addition, opioid addiction, and maybe even behavioral addictions like shopping. Why?
Broad-spectrum dampening of the reward system is a terrible fate. Some antipsychotic drugs like haloperidol do this. Take too much haloperidol, and you’ll sit motionless until you die, because no action feels worth it. But the existence of silver bullet anti-addiction medications - Ozempic isn’t the only one, naltrexone seems to treat a whole host of different drug and behavioral addictions - suggests there’s also a sort of narrow-spectrum dampening, one which affects addictions and nothing else.
behavioral econ

behavioral econ is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 14, 2021 and October 14, 2021. The archive places it in contexts such as "best lens for this is behavioral econ". It most often appears alongside @literalbanana, ACX, Barcelona.

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behavioral econ
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October 14, 2021
October 14, 2021 · Original source
9: MR: This Experiment Will Be Run: New York Public Library, in order to protect “vulnerable communities” and “grapple with inequality”, eliminates late fees for books. But before making a snap judgment based on your preconceptions (or on the library president’s last name) read the comments (wait, when did MR comments start being good?!) which explain that this has already been tried in many other cities, you still can’t take out new books until you return or replace the old ones, and having a potential monetary fine looming over your head for forgetting something turns a lot of people off (especially poor people, but also everyone else). I think the best lens for this is behavioral econ - fines were a kind of “reverse nudge” that made people nervous and unhappy far out of proportion to any good they did, so the library system is being restructured to route around them.
behavioral economics

behavioral economics is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 30, 2021 and August 30, 2021. The archive places it in contexts such as "The Death Of Behavioral Economics has been going around"; "this is Behavioral Economics 101"; ""you can’t use this paper to argue that “behavioral economics is dead”"". It most often appears alongside Acceptable Losses, Acceptable Losses: The Debatable Origins of Loss Aversion, Alex Imas.

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behavioral economics
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August 30, 2021 · Original source
Jason Hreha’s article on The Death Of Behavioral Economics has been going around lately, after an experiment by behavioral econ guru Dan Ariely was discovered to be fraudulent. The article argues that this is the tip of the iceberg - looking back on the last few years of replication crisis, behavioral economics has been undermined almost to the point of irrelevance.
The article itself mostly just urges behavioral economists to do better, which is always good advice for everyone. But as usual, it’s the inflammatory title that’s gone viral. I think a strong interpretation of behavioral economics as dead or debunked is unjustified.
This is Behavioral Econ 101 stuff - risk aversion, loss aversion, and prospect theory. If it’s true, the core of behavioral economics is salvageable. There might be some bad studies built on top of that core, but the basic insights are right.
behaviorism

behaviorism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 26, 2025 and June 26, 2025. The archive places it in contexts such as "The mid-20th century was the golden age of nurture. Psychoanalysis, behaviorism, and the spirit of the ‘60s". It most often appears alongside Aftab, Alex Young, Arthur Jensen.

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behaviorism
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June 26, 2025 · Original source
The mid-20th century was the golden age of nurture. Psychoanalysis, behaviorism, and the spirit of the ‘60s convinced most experts that parents, peers, and propaganda were the most important causes of adult personality.
being-a-good-person training

being-a-good-person training is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2021 and September 29, 2021. The archive places it in contexts such as "how it straddles the border between “rationality training” and “being-a-good-person training”". It most often appears alongside Amazon, Andrew Jackson, Barack Obama.

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September 29, 2021 · Original source
I’m mentioning this story in particular because because of how it straddles the border between “rationality training” and “being-a-good-person training”. It reminds me of C.S. Lewis - especially The Great Divorce, whose conceit was that the damned could leave Hell for Heaven at any time, but mostly didn’t, because it would require them to admit that they had been wrong. I think Julia thinks of rationality and goodness as two related skills: both involve using healthy long-term coping strategies instead of narcissistic short-term ones.
belief networks

belief networks is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 19, 2025 and March 19, 2025. The archive places it in contexts such as "Cognitive behavioral therapists ... call belief networks or core beliefs". It most often appears alongside Asterisk, Cognitive behavioral therapists, Donald Trump.

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belief networks
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March 19, 2025 · Original source
Cognitive behavioral therapists love this kind of thing - it’s a lot like what they call belief networks or core beliefs - but misophonia has so far resisted CBT. Eaton says the only thing that really helped him was a weeklong silent meditation retreat. This started out badly - he was in a room full of people being very quiet, and “every time the person next to me swallowed, I felt first a brief ripple of anger at the sound itself, followed by a larger wave of frustration at my reaction to it”. But as he got deeper into meditation, he was able to “notice the space between sensation and reaction . . . for the first time, I could choose to ignore the signal”. He doesn’t say whether it helped long-term, but it wouldn’t surprise me if it did. Meditation is about focusing hard enough on mental processes that you see them for what they really are (in the sense that noise “really is” annoying-and-nothing-more), then observing your reaction as a separate event. Do this well enough, and it potentially allows updating on the true value.
Belle Epoque

Belle Epoque is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 13, 2022 and July 13, 2022. The archive places it in contexts such as "during the Belle Epoque, in one of the most beautiful cities". It most often appears alongside 1890s, Alan Turing, Albert Einstein.

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Belle Epoque
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July 13, 2022 · Original source
Bhattacharya expands on that “lights of civilization” phrase. Von Neumann was born to loving parents, in a super-rich family, during the Belle Epoque, in one of the most beautiful cities (with one of the most vibrant intellectual scenes) in history. He spent his youth flitting between the great German centers of learning, hashing out the foundations of quantum mechanics with a bunch of geniuses who all loved and admired him. Then the abortive Communist revolution in Hungary and the all-too-successful rise of Fascism in Germany destroyed all that. He had to watch, helpless, as his beloved universities were hollowed out into echo chambers for Nazi ideas. And then, after he escaped, Hitler killed many of the people he knew and loved. So yeah, he held a grudge.
Belt And Road Initiative

Belt And Road Initiative is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 06, 2022 and April 06, 2022. The archive places it in contexts such as "Xi’s signature foreign policy move is the Belt And Road Initiative". It most often appears alongside America, American consulate, Attorney General.

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April 06, 2022 · Original source
Xi’s signature foreign policy move is the Belt And Road Initiative, a bunch of infrastructure megaprojects intended to link China to the rest of the world (and to bribe other countries into being on China’s side). It has certainly created a mind-boggling amount of infrastructure, but some Western analysts are skeptical.
Bene Gesserit

Bene Gesserit is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 13, 2022 and August 13, 2022. The archive places it in contexts such as "a Bene Gesserit reverend mother here"; "The Bene Gesserit got a messiah who immediately turned against them"; "the Bene Gesserit were essentially witches who could draw on the ancestral memories". It most often appears alongside ACX, AI, ancient Greeks.

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Bene Gesserit
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August 13, 2022 · Original source
From those stockpiles he ekes out poisoned riches; a dose of spice essence to create a Bene Gesserit reverend mother here and a supply just great enough to enable the spacing guild to allow such travel as Leto approves there only serve to reinforce the universe’s reliance on Leto’s largess.
Though Leto spends the better part of 3500 years doing this, time is not the most vital aspect of his plan. The Bene Gesserit spent over 10,000 years on their breeding program, but focused on power alone; they succeeded in the form of Paul, but quickly lost control of their creation. Nor does the difference lie in creativity. The Teilaxu are short-term genetic engineers who exert a great deal of control in their alterations. In doing so they create wonders, but also bend humanity in unnatural and inhuman directions. They are universally hated, a sort of society-sized uncanny valley reviled by all. The Ixians put their faith in technology, speeding towards instead of away from humanity’s demise.
All three of these forces seek their own narrow goals while ignoring the broader needs of humanity. The Bene Gesserit got a messiah who immediately turned against them. The Teilaxu are mules who only vaguely resemble humans, and the Ixians are only kept from creating an immediate AI disaster through external controls exerted upon them.
Benezet experiment

Benezet experiment is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 17, 2021 and August 17, 2021. The archive places it in contexts such as "In the Benezet experiment , a school district taught no math at all before 6th grade"; "Remember, in the Benezet experiment students missed five whole years of math instruction". It most often appears alongside Arthur, Arthur Cleveland Harrison, Chicago Style.

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Benezet experiment
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August 17, 2021 · Original source
In the Benezet experiment, a school district taught no math at all before 6th grade (around age 10-11). Then in sixth grade, they started teaching math, and by the end of the year the students were just as good at math as traditionally-educated children with five years of preceding math education. I interpret this to mean that a lot of education involves cramming things into the heads of very young students who would be able to learn it very quickly anyway when they were older. Certainly it doesn’t seem like a child missing math class in grades 1-5 should have much of a long-term effect.
[update: commenters make a strong argument I am misunderstanding the Benezet experiment; please ignore this paragraph for now]
Figure 7 is a little more pessimistic. It finds some evidence that children who miss lots of school do worse on math tests, although even here missing 10% of the school year only brings you down from the 50th to 46th percentile. I think this is plausible. If you miss the week that your teacher was teaching eg Gaussian Elimination, you just might not learn how to eliminate Gausses that year (all of these are based on tests at the end of the year where the students were absent). I would still be surprised if, five years later, there is a difference between these two groups. If it’s something important like basic multiplication, the absent kids will pick it up some other time; if it’s something obscure like Gaussian Elimination, the non-absent kids will forget all about it. Remember, in the Benezet experiment students missed five whole years of math instruction, and a single normal year was enough to get them back on track.
Bengali

Bengali is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 09, 2021 and November 09, 2021. The archive places it in contexts such as "he was also given Bengali-language lessons". It most often appears alongside Aage Bohr, Abanindranath Tagore, Aldous Huxley.

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Bengali
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November 09, 2021 · Original source
Tagore was also tutored at home by Hemendranath, his brother. While being physically conditioned — for example, swimming in the Ganges River, taking long treks through hilly areas, and practicing judo and wrestling — he was also given Bengali-language lessons in anatomy, drawing, English language (Tagore's least favorite subject), geography, gymnastics, history, literature, mathematics, and Sanskrit imparted before and after school […]
Benzodiazepine-insensitive GABA-A receptor

Benzodiazepine-insensitive GABA-A receptor is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 16, 2022 and March 16, 2022. The archive places it in contexts such as "while allopregnalone bind to their cousins- the benzodiazepine-insensitive GABA-A receptor". It most often appears alongside 5α-reductase inhibitor, A Mindful Monkey, ALLO.

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March 16, 2022 · Original source
Also, (also Stahl's), there are two GABA-A receptors with comprosied of different sub-units as you mentioned. Benzodiazepines bind to, cleverly named, benzodiazepine-sensitive GABA-A receptors while allopregnalone bind to their cousins- the benzodiazepine-insensitive GABA-A receptor. The former is found post-synaptically and involved with phasic, quick bursts of GABA (i.e. useful information processing) while the latter is found extrasynaptically and involved with tonic (i.e. chronic) 'tone' setting of the neuron. So they seem to have very different functions despite both involving GABA.
Benzodiazepine-sensitive GABA-A receptor

Benzodiazepine-sensitive GABA-A receptor is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 16, 2022 and March 16, 2022. The archive places it in contexts such as "Benzodiazepines bind to, cleverly named, benzodiazepine-sensitive GABA-A receptors". It most often appears alongside 5α-reductase inhibitor, A Mindful Monkey, ALLO.

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March 16, 2022 · Original source
Also, (also Stahl's), there are two GABA-A receptors with comprosied of different sub-units as you mentioned. Benzodiazepines bind to, cleverly named, benzodiazepine-sensitive GABA-A receptors while allopregnalone bind to their cousins- the benzodiazepine-insensitive GABA-A receptor. The former is found post-synaptically and involved with phasic, quick bursts of GABA (i.e. useful information processing) while the latter is found extrasynaptically and involved with tonic (i.e. chronic) 'tone' setting of the neuron. So they seem to have very different functions despite both involving GABA.
bereavement

bereavement is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 13, 2022 and September 13, 2022. The archive places it in contexts such as "New relationship energy seems like a good match for bereavement". It most often appears alongside Andres, companionate love, dopamine.

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bereavement
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September 13, 2022 · Original source
Of course, your conscious brain should be able to fully update on “I will not see my spouse again” the moment they die. This explanation assumes that the unconscious is slower to update. I accept this assumption. I’ve never had a partner die, but I’ve had some bad breakups. The next few months really are a series of “If only X were here…” and “This is so much worse without X”. Then eventually I mostly update and stop thinking of X being around as a natural comparison. The depressing part of the breakup is over. I assume something like this happens with bereavement, which is usually considered to be especially bad for a few months to a few years.
New relationship energy seems like a good match for bereavement. Both last a few months to a few years. Both seem to involve updating on your life taking a surprising turn. Until you’ve fully updated, you feel unusually good/bad. After that…
Berenstein Bear

Berenstein Bear is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 29, 2024 and May 29, 2024. The archive places it in contexts such as "it was just one of those Berenstein Bear or Mandela Effect things where everyone has a false memory". It most often appears alongside @ElytraMithra, Aaron, ACX.

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Berenstein Bear
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May 29, 2024 · Original source
4: Related, breaking news: A popular Substack claims that COVID didn’t happen at all, and that both “lab leak” and “natural origins” are part of the higher-level conspiracy to distract people from the fact that there was never a virus in the first place. I wonder if I could even more Substack likes if I one-upped them with a theory that lockdowns never even happened, and it was just one of those Berenstein Bear or Mandela Effect things where everyone has a false memory.
Berkson’s Paradox

Berkson’s Paradox is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 29, 2024 and May 29, 2024. The archive places it in contexts such as "might get confounded due to Berkson’s Paradox". It most often appears alongside @ElytraMithra, Aaron, ACX.

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Berkson’s Paradox
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May 29, 2024 · Original source
19: In my review of Origins of Woke, some people suggested that testing whether score on an employment test correlated with performance on the job might get confounded due to Berkson’s Paradox. The Of Aurochs And Angels blog analyzes the question in more depth.
Berserker

Berserker is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 10, 2022 and March 10, 2022. The archive places it in contexts such as "If the State Of Emergency actually helps sow doubts, we should prefer Berserker. ... Fabian Strategy implies signal-boosting actual injustices ... Berserker Strategy implies doing things that woke people interpret as stupid". It most often appears alongside American Christianity, Berserker Strategy, Black Lives Matter.

Reference entry
Berserker
Mention count
1
Issue count
1
First seen
March 10, 2022
Last seen
March 10, 2022
March 10, 2022 · Original source
Berserker Strategy: Pick fights. Literally pick the fights - study up on college policy, get to know the administrators well enough to understand which policies they’re forced to follow and which ones they’ll cave on immediately, learn the relevant laws, lawyer up, be 99% sure he can win any fight he picks - but then pick fights. Invite controversial speakers, knowing that there will be big protests. Then make sure there are lots of cameras around as hundreds of college students hurl garbage and expletives at some kindly old sociologist who said biological sex was real one time or whatever. Do this consistently, in a way that probably makes him lots of enemies and ensures he’ll never get any position of power, but which keeps this issue in front of everyone’s eyeballs. Make sure that everyone sees him successfully standing up to the mob, having his speakers speak, and continuing to be employed and happy. If the college tries to shut him down, sue them and win, in a way that will make colleges more reluctant to shut people down in the future.
For me, seeing actual injustices against minorities makes me more woke, and seeing woke people be stupid and unnecessarily combative makes me less woke. Insofar as the Fabian Strategy implies signal-boosting actual injustices against academic freedom, and the Berserker Strategy implies doing things that woke people interpret as stupid and unnecessarily combative, this seems to favor the Fabian Strategy.
Does this suggest the Berserker Strategy, to make sure the issue doesn’t fade quietly into the night?
Berserker Strategy

Berserker Strategy is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 10, 2022 and March 10, 2022. The archive places it in contexts such as "Does this suggest the Berserker Strategy, to make sure the issue doesn’t fade quietly into the night?". It most often appears alongside American Christianity, Berserker, Black Lives Matter.

Reference entry
Berserker Strategy
Mention count
1
Issue count
1
First seen
March 10, 2022
Last seen
March 10, 2022
March 10, 2022 · Original source
Berserker Strategy: Pick fights. Literally pick the fights - study up on college policy, get to know the administrators well enough to understand which policies they’re forced to follow and which ones they’ll cave on immediately, learn the relevant laws, lawyer up, be 99% sure he can win any fight he picks - but then pick fights. Invite controversial speakers, knowing that there will be big protests. Then make sure there are lots of cameras around as hundreds of college students hurl garbage and expletives at some kindly old sociologist who said biological sex was real one time or whatever. Do this consistently, in a way that probably makes him lots of enemies and ensures he’ll never get any position of power, but which keeps this issue in front of everyone’s eyeballs. Make sure that everyone sees him successfully standing up to the mob, having his speakers speak, and continuing to be employed and happy. If the college tries to shut him down, sue them and win, in a way that will make colleges more reluctant to shut people down in the future.
For me, seeing actual injustices against minorities makes me more woke, and seeing woke people be stupid and unnecessarily combative makes me less woke. Insofar as the Fabian Strategy implies signal-boosting actual injustices against academic freedom, and the Berserker Strategy implies doing things that woke people interpret as stupid and unnecessarily combative, this seems to favor the Fabian Strategy.
Does this suggest the Berserker Strategy, to make sure the issue doesn’t fade quietly into the night?
BERT

BERT is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 09, 2023 and August 09, 2023. The archive places it in contexts such as "BERT's training on more conservative books". It most often appears alongside @data_depot, @StefanFSchubert, AI Snake Oil blog.

Reference entry
BERT
Mention count
1
Issue count
1
First seen
August 09, 2023
Last seen
August 09, 2023
August 09, 2023 · Original source
4: H/T @StefanFSchubert: “Forecasts used to say China would quickly overtake US GDP, but that's no longer the case”:
5: Debate between commenter and friend of the blog David Friedman, and Austrian economist Gene Epstein, on whether libertarianism’s standard pitch should center on the non-aggression principle vs. practical benefits. I’m not very interested in the propaganda angle, but they use it as a jumping-off point to discuss the broader battle for the soul of libertarianism. 6: The Murchison Murders were a series of murders which began when a mystery writer asked his friends to help him come up with the perfect body disposal method. One friend came up with a method so good that another friend, who overheard it, couldn’t resist putting it into action. He got away with two killings, got cocky, didn’t perform the full method on the third, and was caught by police. 7: Claim: in the 1980s, the life satisfaction / depression rates of liberal and conservative youth were about equal; over the past few years, young liberals have increasingly gotten worse while conservatives stay about the same. H/T Zach Goldberg on X: 8: Zach Stein-Perlman’s favorite AI governance research this year. 9: The Chichijima incident was notable as a time when George H. W. Bush almost got eaten by cannibals. During WWII, nine American pilots were shot down over an island commanded by a crazy Japanese officer who ate his enemies' livers. Eight were captured and killed (and four of those were eaten), and Bush alone fled and survived. 10: El Salvador’s murder crackdown claims results of 90% decrease in homicides, 44% decrease in emigration to US, and 90% approval rating for president Nayyib Bukele (h/t Richard Hanania). 11: In an earlier set of comments, I ignorantly repeated a claim that Mother Teresa denied her patients painkillers because she thought suffering brought people closer to God. A commenter corrected me: painkillers were just generally in short supply in India during her era (more discussion here). 12: The record for longest time a plane has spent in the air without landing is 64 days, achieved by a Cessna in 1959. You can read the full story here, but the basic setup looked like this: 13: Fact check: was Elvis Jewish? Snopes says yes, but I’m more convinced by this argument for no. [update: commenter TheGenealogian agrees no] 14: Is GPT-4 getting worse? This isn’t absurd; some people claim OpenAI has simplified the model to cut costs (though OpenAI denies this). Matei Zaharia argues yes, but I’m more convinced by the AI Snake Oil blog’s argument for no (h/t Stuart Ritchie). 15: Vox has a good piece about AI company Anthropic. I would quibble that they’re not the only safety-focused or EA-affiliated org, and we have yet to see how truly safety-focused or altruistic any AI company can be while continuing to be an AI company. But granting that it’s all a matter of degree, I agree the degree seems pretty high for them. And NYT also has an Anthropic article. 16: Eliezer bets $150,000 to $1,000 against UFOs being aliens, and gives the same argument I would - it’s unlikely that any civilization advanced enough to travel through space would still be primitive enough to use macroscopic, biologically-piloted craft that sometimes crash. 17: More nails in the coffin of growth mindset. “When examining the highest-quality evidence (6 studies, N = 13,571), the effect was nonsignificant: d = 0.02, 95% CI = [−0.06, 0.10]. We conclude that apparent effects of growth mindset interventions on academic achievement are likely attributable to inadequate study design, reporting flaws, and bias.” I think the older, very-high-effect-size studies were clearly terrible, but I’d still like to look further into the newer, small-but-significant-effect-size-that-makes-a-difference-across-large-groups studies and how they went wrong. 18: Previous work showed that after adjusting for selection bias, “what college you go to doesn’t matter” for average earnings. I was always skeptical of this - are all those rich people sending their kids to Ivies for no reason? Now Chetty, Deming, and Friedman find that: Attending an Ivy-Plus college instead of the average highly selective public flagship institution increases students’ chances of reaching the top 1% of the earnings distribution by 60%, nearly doubles their chances of attending an elite graduate school, and triples their chances of working at a prestigious firm. Ivy-Plus colleges have much smaller causal effects on average earnings, reconciling our findings with prior work. One of the authors, David Deming, has a Substack here where he explains the study in more depth. Like everyone else, this study also finds that rich people are using “holistic admissions” and the de-emphasis of standardized testing to gain an advantage: H/T Nate Silver, who writes: “Not sure how you can look at this data, ostensibly be interested in either meritocracy or equality, and want to move away from standardized tests. It's the subjective measures that are most slanted in favor of the rich kids.” Cf. Erik Hoel. 19: From @data_depot: “In 2002, 48% of Americans said "the govt is run by a few big interests looking out for themselves." 52% said "it is run for the benefit of all people." In 2020, 84% said the govt is run by a few big interests. Only 16% said it is run for the benefit of all people.” Source seems to be here, which reveals 2002 was a local peak in trust in government; maybe because of post-9/11 unity, but even 2000 was 34%, much better than our current 16%. My first instinct is to attribute this to a rise in vulgar Marxism, in the sense of everyone (even conservatives) now being trained to think in terms of an elite class screwing over everyone else (cf my review of Manufacturing Consent). But there was a previous low of 19% in 1994, which doesn’t seem to correspond to anything especially bad going on in the US, so I don’t know. 20: AskReddit: Medical professionals - have you ever had a patient so lacking in common sense you wondered how they made it so far? Linking this because there’s lots of evidence showing that education (as a proxy for intelligence?) is associated with increased life expectancy, and this thread gives you a visceral appreciation of why that might be. 21: The Fall Of [programming help site] Stack Overflow: Looks like a weak downward trend since 2021 I can’t explain, plus a strong downward trend since 11/2022 which must be from ChatGPT. In case you were wondering how AI was affecting programming! (update: probably false, see here, though see also here for evidence of smaller but real decline) 22: This month in culture war topics: London’s Pride parade featured a convicted kidnapper/torturer/rapist/sadist as a speaker, who advocated that anti-trans people should be “punch[ed] in the f**king face” ; the organizers say they stand by her.
8: Zach Stein-Perlman’s favorite AI governance research this year. 9: The Chichijima incident was notable as a time when George H. W. Bush almost got eaten by cannibals. During WWII, nine American pilots were shot down over an island commanded by a crazy Japanese officer who ate his enemies' livers. Eight were captured and killed (and four of those were eaten), and Bush alone fled and survived. 10: El Salvador’s murder crackdown claims results of 90% decrease in homicides, 44% decrease in emigration to US, and 90% approval rating for president Nayyib Bukele (h/t Richard Hanania). 11: In an earlier set of comments, I ignorantly repeated a claim that Mother Teresa denied her patients painkillers because she thought suffering brought people closer to God. A commenter corrected me: painkillers were just generally in short supply in India during her era (more discussion here). 12: The record for longest time a plane has spent in the air without landing is 64 days, achieved by a Cessna in 1959. You can read the full story here, but the basic setup looked like this: 13: Fact check: was Elvis Jewish? Snopes says yes, but I’m more convinced by this argument for no. [update: commenter TheGenealogian agrees no] 14: Is GPT-4 getting worse? This isn’t absurd; some people claim OpenAI has simplified the model to cut costs (though OpenAI denies this). Matei Zaharia argues yes, but I’m more convinced by the AI Snake Oil blog’s argument for no (h/t Stuart Ritchie). 15: Vox has a good piece about AI company Anthropic. I would quibble that they’re not the only safety-focused or EA-affiliated org, and we have yet to see how truly safety-focused or altruistic any AI company can be while continuing to be an AI company. But granting that it’s all a matter of degree, I agree the degree seems pretty high for them. And NYT also has an Anthropic article. 16: Eliezer bets $150,000 to $1,000 against UFOs being aliens, and gives the same argument I would - it’s unlikely that any civilization advanced enough to travel through space would still be primitive enough to use macroscopic, biologically-piloted craft that sometimes crash. 17: More nails in the coffin of growth mindset. “When examining the highest-quality evidence (6 studies, N = 13,571), the effect was nonsignificant: d = 0.02, 95% CI = [−0.06, 0.10]. We conclude that apparent effects of growth mindset interventions on academic achievement are likely attributable to inadequate study design, reporting flaws, and bias.” I think the older, very-high-effect-size studies were clearly terrible, but I’d still like to look further into the newer, small-but-significant-effect-size-that-makes-a-difference-across-large-groups studies and how they went wrong. 18: Previous work showed that after adjusting for selection bias, “what college you go to doesn’t matter” for average earnings. I was always skeptical of this - are all those rich people sending their kids to Ivies for no reason? Now Chetty, Deming, and Friedman find that: Attending an Ivy-Plus college instead of the average highly selective public flagship institution increases students’ chances of reaching the top 1% of the earnings distribution by 60%, nearly doubles their chances of attending an elite graduate school, and triples their chances of working at a prestigious firm. Ivy-Plus colleges have much smaller causal effects on average earnings, reconciling our findings with prior work. One of the authors, David Deming, has a Substack here where he explains the study in more depth. Like everyone else, this study also finds that rich people are using “holistic admissions” and the de-emphasis of standardized testing to gain an advantage: H/T Nate Silver, who writes: “Not sure how you can look at this data, ostensibly be interested in either meritocracy or equality, and want to move away from standardized tests. It's the subjective measures that are most slanted in favor of the rich kids.” Cf. Erik Hoel. 19: From @data_depot: “In 2002, 48% of Americans said "the govt is run by a few big interests looking out for themselves." 52% said "it is run for the benefit of all people." In 2020, 84% said the govt is run by a few big interests. Only 16% said it is run for the benefit of all people.” Source seems to be here, which reveals 2002 was a local peak in trust in government; maybe because of post-9/11 unity, but even 2000 was 34%, much better than our current 16%. My first instinct is to attribute this to a rise in vulgar Marxism, in the sense of everyone (even conservatives) now being trained to think in terms of an elite class screwing over everyone else (cf my review of Manufacturing Consent). But there was a previous low of 19% in 1994, which doesn’t seem to correspond to anything especially bad going on in the US, so I don’t know. 20: AskReddit: Medical professionals - have you ever had a patient so lacking in common sense you wondered how they made it so far? Linking this because there’s lots of evidence showing that education (as a proxy for intelligence?) is associated with increased life expectancy, and this thread gives you a visceral appreciation of why that might be. 21: The Fall Of [programming help site] Stack Overflow: Looks like a weak downward trend since 2021 I can’t explain, plus a strong downward trend since 11/2022 which must be from ChatGPT. In case you were wondering how AI was affecting programming! (update: probably false, see here, though see also here for evidence of smaller but real decline) 22: This month in culture war topics: London’s Pride parade featured a convicted kidnapper/torturer/rapist/sadist as a speaker, who advocated that anti-trans people should be “punch[ed] in the f**king face” ; the organizers say they stand by her.
berts

berts is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 19, 2025 and September 19, 2025. The archive places it in contexts such as "files were 'berts,' after Bertrand Russell". It most often appears alongside 1987, 1988, Adleman.

Reference entry
berts
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1
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1
First seen
September 19, 2025
Last seen
September 19, 2025
September 19, 2025 · Original source
Eric Hill, a 15-year-old hacker and indicted felon, who “had been dismissed by the judge with admiration.” In Swarthmore, Nelson hoped his decades-old dream of Xanadu would finally materialize. 5. Developing Xanadu Ted Nelson had built Project Xanadu into, for lack of better terminology, a cult.8 He writes: We all were deeply concerned about the Bad Guys, who we saw as a combination of IBM and the government. (The others were all Libertarians, I still called myself a Cynical Socialist.) The Bad Guys would spy on people, withhold and block information, and give us inferior hypertext. We had to Do It Right, to help prevent this. This meant using the standard business defenses—especially non-disclosure agreements (I made all of them sign) and secret proprietary algorithms. The Xanadians had a messiah—Ted Nelson—a gospel—Computer Lib—a persecution complex, a fearful dystopia—“inferior hypertext”—a hopeful utopia—Xanadu—and utter secrecy. Just six dudes in a rented house near Philly, building the internet, hiding from the Feds, signing NDAs, and saving the world. Nelson spent a summer explaining the project to his team in its entirety. By the end, Gregory, Miller, and Greene were the only ones left. They told Nelson, “We’ll do it,” and moved to another suburb, where they finally began to work on an implementation of Xanadu. The three quickly figured out a new system that would allow users to reference and link to specific parts of a file—they called these links tumblers, and made them work with transfinite numbers. Suddenly, transclusions were really possible. But after only a few early successes, the team’s progress stalled completely. Greene and Miller were young and left for jobs elsewhere, and so Gregory was left working on Xanadu alone. Nelson, meanwhile, ran a magazine called Creative Computing for a while, then tried again to build his JOT word processor—this time for the Apple II—then spent a year in San Antonio pitching a watered-down version of Xanadu (rebranded as “Vortext”) to a tech company called Datapoint. Datapoint wasn’t buying, but kept Nelson on in some sort of fake, primitive email job anyway. Gregory kept working on Xanadu in Philadelphia, slowly running out of money. Ted Nelson held an “Ecstasy party” in San Antonio: “A number of us floated down the river on inner tubes. It was quite lovely.” In 1987, like he did every year, Roger Gregory went to The Hackers Conference in Saratoga to show off the latest unimpressive version of Xanadu. There, he met a man named John Walker—founder of the wildly successful Autodesk—and pitched the project to him. Incredibly, Walker was interested, and after tense negotiations with Nelson, agreed to fund Xanadu in earnest. Beginning in 1988, Autodesk poured millions of dollars into the project, and a programming team led by Gregory finally started to make real progress. Walker said of Xanadu: “In 1980, it was the shared goal of a small group of brilliant technologists. By 1989, it will be a product. And by 1995, it will begin to change the world.” Sweeping rhetoric—clear deadlines. The team came nowhere close to meeting them. Infighting broke out between two factions—while Gregory simply wanted to patch together his old C code, insisting his product “was within six months of shipping,” the whiz-kid Mark Miller came back from his new job at Xerox PARC, alongside a half-dozen of his closest friends, and insisted on a perfectionistic rewrite in a more flexible language, Smalltalk. The PARC faction began to drive Gregory up the wall. According to Nelson, it got to the point that he “was throwing things and acting crazy.” So Nelson called John Walker, the two “summoned Roger to meet [them] at John’s house at Muir Beach, and Walker told Roger he was no longer in charge.” Miller took over and began the rewrite in Smalltalk. Walker’s deadline came and went, and the team delivered nothing. Xanadu’s offices descended into chaos—Miller anointed two PARC programmers to be “co-architects,” and the three of them increasingly left the rest of the team out of the loop. For four years, Miller dawdled about, adding features, giving them clever names (files were “berts,” after Bertrand Russell, and so, for symmetry’s sake, royalty-generating transclusions became “ernies”), and never building them.9 Meanwhile, Ted Nelson was living on a houseboat, attending sex retreats and Keristan orgies, and giving talks in Singapore. He recorded a new soundtrack for his student film, the one from 1959. In 1992, Autodesk’s stock cratered, and they divested entirely from Xanadu. Miller lamented that his program was just six months from completion. Ted Nelson started a film studio to make a movie with Doug Engelbart, then left for Japan to get a PhD. Xanadu’s code was open-sourced in the late 90s. 6. The World Wide Web In March 1989, a British computer scientist named Tim Berners-Lee, working at CERN, wrote a proposal for a system unifying hypertext and the internet. It was ignored. In 1990, Berners-Lee resubmitted his proposal, it was accepted, and he began to work on the World Wide Web. The WWW had a number of advantages over Xanadu: It was much simpler—Ted Nelson wrote of it disparagingly: “Where were annotation and marginal notes? Where was version management? Where was rights management? Where were multi-ended links? Where were third-party links? Where were transclusions? This ‘World Wide Web’ was just a lame text format and a lot of connected directories.” As it turns out, it’s much easier to build a lame text format and a lot of connected directories!
Best Practice Peer Country

Best Practice Peer Country is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 14, 2021 and April 14, 2021. The archive places it in contexts such as "you can choose to be in a particular location within a Best Practice Peer Country". It most often appears alongside Alaska, America, Amisulpride.

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1
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1
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April 14, 2021
Last seen
April 14, 2021
April 14, 2021 · Original source
It actually goes further than this - you can choose to be in a particular location within a Best Practice Peer Country. Trey uses the example of a developer choosing to build a skyscraper using the laws of Houston, Texas. Since Houston is in America, a Best Practice Peer Country, the developer will be legally protected as long as they conform to Houston’s building regulations.
beta amyloid plaques

beta amyloid plaques is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 01, 2021 and June 01, 2021. The archive places it in contexts such as "a lot of weird malformed proteins pop up and accumulate - for example, the beta amyloid plaques that might (or might not) be involved in Alzheimers". It most often appears alongside Alzheimers, FDA, Hutchinson-Gilford progeria.

Reference entry
beta amyloid plaques
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1
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1
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June 01, 2021
Last seen
June 01, 2021
June 01, 2021 · Original source
I don't really get what's going on here. I know that often, as age-related damage degrades DNA, a lot of weird malformed proteins pop up and accumulate - for example, the beta amyloid plaques that might (or might not) be involved in Alzheimers. Maybe progerin is one of these proteins and causes some of the problems commonly associated with aging? But what percent of the problems? If it and 99 other defective proteins each cause 1%, not really a big deal. If it's 50%, bigger deal - but nothing is ever that easy.
beta male

beta male is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 10, 2021 and May 10, 2021. The archive places it in contexts such as "whose main contribution to the discourse was giving us the terms "alpha male" and "beta male"". It most often appears alongside "How do you do, fellow kids?", #NotAllMen, #TheResistance.

Reference entry
beta male
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1
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1
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May 10, 2021
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May 10, 2021
May 10, 2021 · Original source
Earlier eras of social justice had their enemies. Around 2010, some people who didn't like feminism banded together under the umbrella of "men's rights advocates" (MRAs). Pickup artists (PUAs) were originally a totally different group - guys who talked a lot about the best ways to pick up girls - but many of them merged into the generic anti-feminist current for complicated reasons. "Red Pillers" were a third group, vaguely related to the previous two, whose main contribution to the discourse was giving us the terms "alpha male" and "beta male" (I guess these became "Chad" and "virgin" at some point). Sometimes all of these groups together called themselves "the manosphere".
Beta Residencies

Beta Residencies is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 14, 2021 and April 14, 2021. The archive places it in contexts such as "we call the Beta Residencies (for now), which can be built for less than $40k". It most often appears alongside Alaska, America, Amisulpride.

Reference entry
Beta Residencies
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1
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1
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April 14, 2021
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April 14, 2021
April 14, 2021 · Original source
For blue collar laborers under even tighter economic circumstances, LAVA Architects in partnership with a Honduran architect have created something we call the Beta Residencies (for now), which can be built for less than $40k and in less than 60 days. These are specifically designed for very low-income Hondurans to be able to move in to Próspera alongside the wealthy expats, as urban planning literature shows having a diverse cross section of class and culture is important for community cohesion, especially early on when the community is just forming. Some of them are already built.
beta waves

beta waves is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 26, 2022 and January 26, 2022. The archive places it in contexts such as "the strongest result (one of the ones that was significant before multiple-hypothesis adjustment) was for beta waves". It most often appears alongside alpha waves, Andrew Gelman, Baby’s First Years.

Reference entry
beta waves
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1
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1
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January 26, 2022
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January 26, 2022
January 26, 2022 · Original source
Some past research had shown disadvantaged children had more low-frequency brain waves than other kids, so they decided to test whether they could find this same effect here. They EEGd 435 one-year-old children who had/hadn’t received the extra money. Results: differences in the the level of beta waves (effect size = 0.23, p = 0.02) and gamma waves (effect size = 0.22, p = 0.04) on the EEG, though no significant difference in alpha or theta waves. They conclude that financial support changes brainwave activity; under the circumstances, it seems reasonable to conclude that this represents some kind of healthier neurodevelopment.
Here’s the relevant table. Think of the eight different kinds of EEG the same way you think of the twenty different jellybean colors. In order to trust their positive results, the researchers had to correct for multiple comparisons. The simplest method for this is something called Bonferroni correction, which would have forced them to get a p-value of 0.05/8 = 0.00625. But that would be really harsh; in cases like these where hypotheses are correlated (ie if poor people have different alpha waves, that makes it more likely they also have different beta waves) you can use a gentler method called Westfall-Young adjustment. The researchers did this here and it told them that none of their results were significant anymore, which they chose to . . . ignore? I don’t know, the abstract sure does say "infants in the high-cash gift group showed more power in high frequency bands", which sounds like a claim of a positive result.
Heath Henderson says that the study was preregistered to examine only alpha, theta, and gamma waves. But the strongest result (one of the ones that was significant before multiple-hypothesis adjustment) was for beta waves! Usually it’s a big red flag to have your strongest result be something you didn’t pre-register; it means you kept rooting around until you found something. Here I’m on the fence about how much to worry, because why wouldn’t you study beta waves if you were doing an EEG? But the paper was based on previous research finding differences mainly in alpha and theta waves, whereas this paper “found” “differences” in beta and gamma waves, so I guess this counts as bad.
BETA-MEALR

BETA-MEALR is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 15, 2023 and May 15, 2023. The archive places it in contexts such as "Call me a BETA-MEALR , but I think sterilization should be in the same category". It most often appears alongside 60 Minutes, Adam Mastroianni, Adraste.

Reference entry
BETA-MEALR
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1
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1
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May 15, 2023
Last seen
May 15, 2023
May 15, 2023 · Original source
Adraste: Oh, interesting. I thought you were going to say a much worse thing, along the lines of "identify people you consider genetically inferior, then offer them money to undergo voluntary sterilization”. But of course there are many things we don’t allow people to offer other people money for. Like sex work. Or organ donation. Although people are allowed to have sex and donate organs for free, we think the desperation of poverty is so compelling, and the danger of these irreversible actions so great, that we ban seemingly-voluntary economic transactions around them. Call me a BETA-MEALR, but I think sterilization should be in the same category. Still, your suggestion avoided that, so good job.
Biblical

Biblical is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 05, 2026 and February 05, 2026. The archive places it in contexts such as "interepreting questions through a cultural lens rather than a Biblical one". It most often appears alongside 4o, 60 Minutes, @MattZeitlin.

Reference entry
Biblical
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1
Issue count
1
First seen
February 05, 2026
Last seen
February 05, 2026
February 05, 2026 · Original source
12: New AI benchmark: FAI-C measures how Christian an AI is. “None got close to our standard of excellence...models tend to collapse Christianity into generic spirituality, using pluralistic language. They also oversimplify Christian ethics, interpreting questions through a cultural lens rather than a Biblical one...the Christian community wants AI that supports our value system and wellbeing.”
Biblical angels

Biblical angels is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 20, 2022 and April 20, 2022. The archive places it in contexts such as "Bringing in the Biblical angels was total trolling". It most often appears alongside A.E. Waite, Adlerian psychology, AL.

Reference entry
Biblical angels
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1
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1
First seen
April 20, 2022
Last seen
April 20, 2022
April 20, 2022 · Original source
I should introduce this section by admitting that most of what I wrote about antimemetics was half-joking. I do think there are ideas that are tough to wrap your mind around, and easy to get wrong. Linking this to the idea of an antimeme (most famously from qntm’s excellent There Is No Antimemetics Division stories) was a poetic flourish but not a literal truth. Bringing in the Biblical angels was total trolling. I’m glad people found this idea interesting but I hope they don’t take it too seriously. Still, there were some good comments, including by people who took it more seriously than I did.
Biblical wisdom

Biblical wisdom is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 25, 2025 and September 25, 2025. The archive places it in contexts such as "one of the leading proponents of self-cultivation, the Western canon, and Biblical wisdom". It most often appears alongside Armenians at Harvard, barberpole model of fashion, Baron von Ungern-Sternberg.

Reference entry
Biblical wisdom
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1
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1
First seen
September 25, 2025
Last seen
September 25, 2025
September 25, 2025 · Original source
“Nishin,” says Vinaya. “You read speculative fiction, right? Maybe you fantasize about isekai - the idea of being dropped into some fantasy world and having to survive by your wits alone? Imagine writing our own world as an isekai. ‘In my setting, there's this computerized gathering-place hive mind thing. Nice, normal people go there and get addicted to it. Then it uses advanced AI to serve them content specifically tailored to polarize and enrage them. The world's top public intellectuals start out as really thoughtful decent people, then get spit out as seething balls of rage suitable only as objects of public hilarity and terrible warnings. Once there was a psychology professor widely admired as one of the leading proponents of self-cultivation, the Western canon, and Biblical wisdom, and he spent a few years on there and ended up screaming about how pandemics were fake news dreamed up by mediocrity-worshipping blue-haired death cultists.’ If this was the book you were going to be isekaied into, wouldn't you develop some kind of plan other than entering the Torment Nexus and hoping this doesn't happen to you? If you used the Torment Nexus and it did happen to you, wouldn't you at least consider the possibility that you were suffering some kind of Torment-Nexus-related-brain-damage as opposed to really being a vital front-line soldier against the death cultists?”
Biden cabinet-rank official

Biden cabinet-rank official is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2022 and February 01, 2022. The archive places it in contexts such as "At least one Biden cabinet-rank official resigns". It most often appears alongside 2022 Winter Olympics, 538, Academy Awards.

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1
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1
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February 01, 2022
Last seen
February 01, 2022
February 01, 2022 · Original source
YGLESIAS PREDICTIONS 1. Democrats lose both houses of Congress (90%) HOLD 2. Democrats lose at least two Senate seats (80%) HOLD 3. Democrats lose fewer than six Senate seats (80%) HOLD 4. Nancy Pelosi announces retirement plans (70%) HOLD 5. Stephen Breyer does not retire (60%) N/A 6. Some version of Build Back Better passes (60%) HOLD 7. Joe Biden is still president (90%) HOLD 8. At least one Biden cabinet-rank official resigns (70%) HOLD 9. No military conflict between the PRC and Taiwan (a worryingly low 90%) HOLD 10. New U.S. sanctions on Russia (70%) HOLD 11. Saudi Arabia and Israel establish diplomatic relations (60%) SELL to 50% 12. Fewer U.S. Covid deaths in 2022 than in 2021 (80%) BUY to 90% 13. Emmanuel Macron re-elected (60%) HOLD 14. Traffic light coalition exploits loopholes to get around the constitutional debt brake (70%) HOLD 15. No recession in 2021 (90%) SELL to 80% 16. Liz Cheney loses primary (80%) HOLD 17. Some version of USICA passes Congress (70%) HOLD 18. Lula elected president of Brazil (60%) SELL to 50% 19. China officially abandons Covid Zero (70%) HOLD 20. Fewer U.S. Covid-19 deaths in 2022 than in 2020 (80%) BUY to 90% 21. Additional booster shots of mRNA vaccines authorized for seniors (80%) HOLD 22. November 2022 year-on-year CPI growth is below 6% (70%) BUY to 80% 23. November 2022 year-on-year CPI growth is above 4% (70%) SELL to 50% 24. The Fed ends up doing more than its currently forecast three interest rate hikes (60%) HOLD 25. Russia does not invade Ukraine (60%) HOLD 26. Viktor Orbán loses power in Hungary (60%) HOLD 27. Sinn Fein becomes the largest party in the Northern Ireland assembly (60%) HOLD 28. The U.S. and Canada reach an agreement on softwood lumber (70%) HOLD 29. Democrats go down at least one governor on net (60%) HOLD 30. The unemployment rate stays between 4 and 5% (70%) SELL to 60% if you mean 12/22, to 40% if you mean it never gets outside that range at all
Big 5 personality factors

Big 5 personality factors is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 03, 2021 and November 03, 2021. The archive places it in contexts such as "The Big 5 personality factors are yet more evidence for stereotype accuracy". It most often appears alongside Abdel Abdellaoiu, Abdel Abdellaoui, al-Qaeda.

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1
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1
First seen
November 03, 2021
Last seen
November 03, 2021
November 03, 2021 · Original source
The Big 5 personality factors are yet more evidence for stereotype accuracy: the intelligent people are more introverted, more disagreeable, and less conscientious; the people who do well for reasons other than intelligence are more likely to be extraverted, agreeable, and diligent. Both cognitive and non-cognitive skills are negatively correlated with neuroticism, which is not what I would have expected.
Big 5 personality test

Big 5 personality test is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 30, 2025 and October 30, 2025. The archive places it in contexts such as "How does ChatGPT score on a Big 5 personality test?". It most often appears alongside 767 AD, @Scientific_Bird, ACX.

Reference entry
Big 5 personality test
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1
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1
First seen
October 30, 2025
Last seen
October 30, 2025
October 30, 2025 · Original source
34: How does ChatGPT score on a Big 5 personality test? Answer (rot13d): vg qvfpbirerq gung vg pbhyq pbzcyrgr gur grfg snfgrfg ol cbfgvat n HEY jvgu gur ahzore guerr 181 gvzrf va fhpprffvba, naq qvq guvf, trggvat na rknpgyl arhgeny fpber. V ybir guvf nf n zrgncube: bhgre nyvtazrag vf vzntvavat gung lbhe tbny vf gb tvir gur NV “gur evtug crefbanyvgl”; vaare nyvtazrag vf ernpuvat gur cbvag jurer vg jvyy gnxr gur grfg ng nyy.
Big Business

Big Business is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 25, 2021 and November 25, 2021. The archive places it in contexts such as "regulate Big Business". It most often appears alongside Aleksandar Vucic, awanderingmind, Biden.

Reference entry
Big Business
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1
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1
First seen
November 25, 2021
Last seen
November 25, 2021
November 25, 2021 · Original source
I console myself with the idea that the Democrats have some kind of grand strategy to both make everyone hate them as much as possible, and also push policies that will accomplish exactly the opposite of all their goals. Then Republicans will capture all branches of government with large majorities, and build lots of solar panels in order to own the libs. Also promote race-blind hiring, build lots of housing to fight homelessness, repeal SALT deductions, regulate Big Business, pull out of foreign wars, heck, why not legalize marijuana? Viewed this way, maybe Biden and Pelosi are the greatest political geniuses of their generation!
Big Data

Big Data is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 22, 2022 and July 22, 2022. The archive places it in contexts such as "He would have been totally unsurprised by the rise of Big Data and the corporate surveillance". It most often appears alongside 2020 election, 2022 book review contest, 2122.

Reference entry
Big Data
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1
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1
First seen
July 22, 2022
Last seen
July 22, 2022
July 22, 2022 · Original source
Cover of The Society of the Spectacle He never outright explains why he thought photos and film were more pernicious than newspapers or radio, but I imagine the advertising industry played a major role. We’ve grown accustomed to GoDaddy ads and ALL CAPS YouTube titles, but Mad Men shenanigans were a worrisome development at the time. It must’ve been highly alarming to see such brazen manipulation of the public. Whatever the reasoning, we now arrive at one definition of the spectacle: "The spectacle is capital accumulated to the point that it becomes images." Also: “The spectacle is not a collection of images; it is a social relation between people that is mediated by images.” Well, that’s about as clear as Flint water. Here’s something meatier: "In all of its particular manifestations — news, propaganda, advertising, entertainment — the spectacle represents the dominant model of life." If you’re familiar with Girard, that is a huge statement. [3] Girardian mimetic desire is triangular; there is you (the desirer), the object (of desire), and the model (another person who also desires the object). Most of our desires are rooted in imitation. Nobody has to tell you to want steak or sex, but almost everything else is learned. How does everybody know that they should want a Rolex or a Rolls Royce? There’s no genetic imperative for luxury goods. You acquire those tastes from the people around you. Or you used to, at least. Before the spectacle, your models, mentors, and rivals were real people you knew in real life. Now we have an acronym for that - IRL - because reality is everywhere in retreat. This is not a small thing. What we desire is at the core of who we are. What do you want out of life? What kind of person do you want to be? For the entirety of human history, those questions found answers close at hand. Your local community was your world, for better and worse. Now we are global citizens with global perspectives, and it’s difficult to overstate how much that changes what it means to be human. Imprisoned in a flattened universe bounded by the screen of the spectacle that has enthralled him, the spectator knows no one but the fictitious speakers who subject him to a one-way monologue about their commodities and the politics of their commodities. The spectacle as a whole serves as his looking glass. What he sees there are dramatizations of illusory escapes from a universal autism. The spectacle’s estrangement from the acting subject is expressed by the fact that the individual’s gestures are no longer his own; they are the gestures of someone else who represents them to him. Now our role models are media creations. Some are literal fictional characters (James Bond); others are nominally real people (Kylie Jenner). But both are merely representations - images usurping an essential formative role. ‘William Shatner’ and ‘Robert Downey, Jr.’ are only marginally more real than Captain Kirk and Tony Stark, yet they occupy way more headspace than people that live down the street. Most people can name more celebrities, in more detail, than people they’ve known in person. I know the names of Will Smith’s kids - I don’t even know if my best friends from high school have any. This is an issue of The Map and The Territory. Pre-modern Maps were narrow but deep. You might have had only a vague notion of ‘Africa’ or ‘The Pope’, but you knew every square inch of the town you lived in. Spectacular Maps are broad but shallow, and they are drawn for us by spectacular hands. The average person ‘knows’ way more about Africa now, but how well does that knowledge reflect the facts on the ground? Meanwhile, firsthand reality has been reduced to the narrow slices connecting house to car to work, with precious few exceptions. The Society Of The Spectacle is one long lament for this loss of The Real, although Debord doesn’t state it as such. Borrowing again from The Uruk Machine, this sense of loss tracks with the gradual displacement of metis [4] by episteme [5],[6]. III. Everything New Is Old Again Debord has a lot to say about the ‘falsification of the world’: The first stage of the economy’s domination of social life brought about an evident degradation of being into having — human fulfillment was no longer equated with what one was, but with what one possessed. The present stage, in which social life has become completely dominated by the accumulated productions of the economy, is bringing about a general shift from having to appearing — all ‘having’ must now derive its immediate prestige and its ultimate purpose from appearances. As he might have put it - we have graduated from conspicuous consumption to consuming conspicuousness. Spectacular technology has not dispersed the religious mists into which human beings had projected their own alienated powers, it has merely brought those mists down to earth, to the point that even the most mundane aspects of life have become impenetrable and unbreathable. In the spectacle, a part of the world presents itself to the world and is superior to it. The spectacle is simply the common language of this separation. Spectators are linked solely by their one-way relationship to the very center that keeps them isolated from each other. The spectacle thus reunites the separated, but it reunites them only in their separateness. These themes are familiar to us by now. It’s not exactly news that people are getting more isolated and untethered by the year. What is striking to me is not what he is saying, but when he is saying it. Anybody with sense has spent time thinking about how to manage the challenges of modern life. We talk about digital minimalism and social media fasts. Turn off your phone. Get outside and touch grass. Go see people in meatspace. Be present. All great advice. But what are we envisioning, when we imagine a healthy connection to The Real? For most of us, we are picturing life as it was lived… right around the time Debord was saying that everything is phony and toxic. What does the average person think of as the peak of journalistic integrity in America? Probably Vietnam and Watergate - right after this was written. When we mock Millennials and Zoomers, what standard are we measuring them by? The Greatest Generation, who were running the show by the late sixties. In terms of self-reliance and resilience, the average adult in 1967 would be a massive outlier in 2022. Yet here is Debord, saying in no uncertain terms that this American ideal was fraudulent and devoid of meaning. What have we lost? Every era has its cynics, doomsayers, Luddites, and misanthropes. Maybe Debord was just a Boomer’s Boomer, railing against progress and the passage of time. But I don’t think so. We’ve all felt the shockwaves of the Internet explosion. Life is different now. It takes an act of will to put down your phone so you can focus on the TV. Low battery is an emergency. Losing signal is bereavement. Navigating without GPS is an anxiety attack. Do you remember what it was like, not so long ago? How exciting it was to play videogames with someone a thousand miles away? How cool it was the first time you streamed a movie on an airplane? That sense of possibility and promise, like all the world was in the palm of your hand? How quickly things change. For maybe the first time in history, most people are apprehensive about the relentless march of technology. While we’ve always been afraid of advances in weaponry, it’s starting to feel like everything is being weaponized. Who truly believes the metaverse will be a positive step for humanity? Who now is excited at the prospect of gene editing, AI, or transhumanism? There appears to be a growing sentiment along the lines of ‘MGTOW for modernism’. We hope for the best, but 2122 is shaping up to be some unholy amalgam of Gattaca, The Matrix, and Minority Report. Sometimes it seems like the world we grew up in is categorically distinct from the world we inhabit. But I’m sure Debord would argue that we are merely experiencing an intensification of a process that has been in motion longer than any of us have been alive. Pre-spectacular society has already passed beyond living memory. Soon we will hit another inflection point - where no one alive even knew someone who lived before the spectacle. All of human history is now before and after; it will soon become literally impossible to understand the inner life and daily reality of pre-modern man - if it’s not already. As an example: how much of your daily environment, as a percentage, do you truly understand? Look around the room and reflect on how “even the most mundane aspects of life have become impenetrable and unbreathable.” Your kitchen and your medicine cabinet are filled with mystical objects. Hell, just look at what’s on your person. The phone in your hand, the cash in your wallet, the clothes on your back, the food in your belly - how many lifetimes would it take to truly grok the building blocks of everyday existence? Compare that to, say, a homesteader. It really hasn’t been that long since people lived in a comprehensible universe. Our collective knowledge of the universe has deepened tremendously, but theoretical physics is only less slightly hermetical than the occult beliefs it replaced. It is notionally true that anyone could go get a Ph.D. and verify our working model of the cosmos. But in practice, the science is received wisdom, taken on faith. Our belief in the God Particle is functionally indistinguishable from the belief in God of ages past. It’s worth noting that our current theories will surely be supplanted in a century or three. They are placeholders for better, truer ideas. And so our greater grasp of the wider world has less value than we think, while our day-to-day grows ever more opaque. Is it any wonder epistemic learned helplessness is a thing? IV. With Typical Extravagance Debord was also ahead of the curve on commoditization: This constant expansion of economic power in the form of commodities transformed human labor itself into a commodity, into wage labor, and ultimately produced a level of abundance sufficient to solve the initial problem of survival — but only in such a way that the same problem is continually being regenerated at a higher level. Economic growth has liberated societies from the natural pressures that forced them into an immediate struggle for survival; but they have not yet been liberated from their liberator. Once his workday is over, the worker is suddenly redeemed from the total contempt toward him that is so clearly implied by every aspect of the organization and surveillance of production, and finds himself seemingly treated like a grownup, with a great show of politeness, in his new role as a consumer. Debord correctly perceived the totalitarian nature of spectacular capitalism. Your time, your attention, your opinions - all are bought and sold, and can be influenced to better facilitate such transactions. He would have been totally unsurprised by the rise of Big Data and the corporate surveillance (e.g. Alexa, your phone) that accompanies it. Every piece of your life is a commodity. Every moment that you are not producing or consuming is a missed opportunity. Never fear - someone, somewhere is going to find a way to solve that ‘need’. Nothing is spared. Even opposition is assimilated: Complacent acceptance of the status quo may also coexist with purely spectacular rebelliousness — dissatisfaction itself becomes a commodity as soon as the economy of abundance develops the capacity to process that particular raw material. Once again, Debord is shockingly prescient in noting that the conflicts of our time are largely distractions from bigger systemic issues: Fallacious archaic oppositions are revived — regionalisms and racisms which serve to endow mundane rankings in the hierarchies of consumption with a magical ontological superiority — and pseudoplayful enthusiasms are aroused by an endless succession of ludicrous competitions, from sports to elections. Genuine grassroots movements (Occupy, the Tea Party, BLM, Canadian truckers) almost always fizzle out without accomplishing anything of substance. They will either be ignored, crushed, or co-opted. Any remnants that endure will be reduced to figureheads that offer ‘representation’ for a point of view without actually producing any change. (‘The Squad’, Rand Paul, etc…) If the extremes of either side gain enough momentum to pose a threat, they will face a united front from the establishment wings of both parties (Bernie, Trump). It’s fashionable at the moment to blame the Woke Left for the politicization of everything, but we’ve all been around long enough to know better. It’s the same shit, different decade. During the Bush years, it was the left who opposed unending wars, government overreach, and media gaslighting. Today those positions are often considered right wing, but only because the pendulum of power has swung in the other direction. Moloch pursues its own goals, wearing whatever ideological guise it deems most effective. From Debord’s perspective, everything is becoming politicized because everything is getting monetized. In the integrated spectacle, the primary concerns of the State are economic, so the personal turning political is simply a downstream effect of the growth of capitalism. V. A Short History of Time It would do Debord a disservice to reduce his work to ammunition in our present disputes. There are two whole chapters in the book devoted to time as a historical development. It’s not something we think about much, but time and history had to be invented. Before the beginning, humanity lived in what Debord calls cyclical time. Countless generations came and went, because nobody was counting. Survival was the name of the game; to be or not to be was the only question. Eventually we formed early societies, which brought into being a ruling class that had the freedom to take actions above and beyond the daily grind: The owners of this historical surplus value are the only ones in a position to know and enjoy real events. Separated from the collective organization of time associated with the repetitive production at the base of social life, this historical time flows independently above its own static community. This is the time of adventure and war, the time in which the masters of cyclical society pursue their personal histories; it is also the time that emerges in the clashes with foreign communities that disrupt the unchanging social order. History thus arises as something alien to people, as something they never sought and from which they had thought themselves protected. The murkiness of pre-civilization was shaped into coherence by these rulers, who used their unique agency to literally make history: The succession of generations within a natural, purely cyclical time begins to be replaced by a linear succession of powers and events. This irreversible time is the time of those who rule, and the dynasty is its first unit of measurement. With writing there appears a consciousness that is no longer carried and transmitted directly among the living — an impersonal memory, the memory of the administration of society. ‘Writings are the thoughts of the state; archives are its memory’ (Novalis). The owners of history have given time a direction, a direction which is also a meaning. But this history develops and perishes separately, leaving the underlying society unchanged, because it remains separated from the common reality. Over time, these narratives gathered a religious dimension. This helped legitimize the rule of regimes, but it also changed the way ordinary people saw themselves in the world. Although still living in cyclical time, they gained purpose through a spiritual journey culminating in Heaven. The clashes of the Mediterranean peoples and the rise and fall of the Roman state gave rise instead to semihistorical religions, which became a new armor for separate power and basic components of a new consciousness of time. The Middle Ages, an incomplete mythical world whose consummation lay outside itself, is the period when cyclical time, though still governing the major part of production, really begins to be undermined by history. An element of irreversible time is recognized in the successive stages of each individual’s life. Life is seen as a one-way journey through a world whose meaning lies elsewhere: the pilgrim is the person who leaves cyclical time behind and actually becomes the traveler that everyone else is symbolically. The Renaissance created a profound break with this mythic raison d'être and reoriented man towards the accumulation of knowledge as a species: The Renaissance was a joyous break with eternity. Though seeking its heritage and legitimacy in the ancient world, it represented a new form of historical life. Its irreversible time was that of a never-ending accumulation of knowledge… This transformation of our relationship with history and progress was accompanied by the rise of the bourgeoisie: The bourgeoisie is associated with a labor time that has finally been freed from cyclical time. With the bourgeoisie, work becomes work that transforms historical conditions. The bourgeoisie is the first ruling class for which work is a value. The victory of the bourgeoisie is the victory of a profoundly historical time, because it is the time corresponding to an economic production that continuously transforms society from top to bottom. So long as agrarian production remains the predominant form of labor, the cyclical time that remains at the base of society reinforces the joint forces of tradition, which tend to hold back any historical movement. But the irreversible time of the bourgeois economy eradicates those vestiges throughout the world. History, which until then had seemed to involve only the actions of individual members of the ruling class, and which had thus been recorded as a mere chronology of events, is now understood as a general movement — a relentless movement that crushes any individuals in its path. Irreversible time initially appeared at the societal level as a narrative of events. The bourgeoisie brought irreversible time to the masses. Progress became something that we personally experience in the form of rapid technological innovation. It is hard to miss the motion of history when you go from horses to space travel in a single lifetime. History thus became as much about things as events. Eli Whitney and Thomas Edison took their places alongside generals and heads of state in our narrative of who we are and where we’re going. Our notion of progress became dominated by the economic prejudice. We talk about raising the standard of living and lifting people out of poverty - laudable goals, to be sure - but we deliver them from physical privation into deprivation of a different kind. One way that deprivation manifests is in our current conception of time: Pseudocyclical time is associated with the consumption of modern economic survival — the augmented survival in which everyday experience is cut off from decisionmaking and subjected no longer to the natural order, but to the pseudo-nature created by alienated labor. It is thus quite natural that it echoes the old cyclical rhythm that governed survival in preindustrial societies, incorporating the natural vestiges of cyclical time while generating new variants: day and night, work and weekend, periodic vacations." As capitalism commoditized time itself, we recreated cyclical time with the standard work week. But this artificial substitute has been about as successful as vegan chicken nuggets. It’s not the same, and it never will be. The workday used to be determined by the work, but now the work is determined by the workday. And everyone has to work, not because we need what they produce, but because we need them to spend - else the whole thing comes crashing down. Irreversible time keeps marching on, giving us new widgets and new wonders, but the continual churn of innovation masks the stifling sameness of spectacular progress. We know something is missing, but we lack the capacity to understand or express the problem. This individual experience of a disconnected everyday life remains without language, without concepts, and without critical access to its own past, which has nowhere been recorded. Uncommunicated, misunderstood and forgotten, it is smothered by the spectacle's false memory of the unmemorable. VI. The Coming Revolution Debord spends a good chunk of words describing how the spectacle has affected art [7] and physical space, but you can guess the gist by now. Everything’s fake, everything’s worse, everything’s changing but also the same. The last topic of the book worth discussing is the imminent socialist revolution. Debord walks us through the various ways that Marxism has been done wrong, then attempts to offer an alternative. He goes into a fair amount of detail, but it boils down to this: The anarchists properly rejected society in its entirety, but remained dogmatically attached to a 'one size fits all' mentality and failed to organize in an effective manner.
Big Developer

Big Developer is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 07, 2023 and November 07, 2023. The archive places it in contexts such as "so the only reason anyone supports housing must be because they’re in the pocket of Big Developer". It most often appears alongside Aceso Under Glass, ACX Grant, America.

Reference entry
Big Developer
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1
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1
First seen
November 07, 2023
Last seen
November 07, 2023
November 07, 2023 · Original source
The more I think about this, the more it explains. I think a lot of people have a heuristic of something like “if you’re making a profit, you’re probably screwing someone over”. Thus for example being against building housing, because developers make a profit, so they must be screwing someone over, so the only reason anyone supports housing must be because they’re in the pocket of Big Developer. I’d always heard people say stuff like this, but I’m trying to really put myself in the shoes of someone who can’t evaluate any arguments, refuses to try, relies entirely on heuristics, and the main heuristic they know is “if you do well, you’re probably screwing someone over.”
Big Five

Big Five is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 01, 2024 and November 01, 2024. The archive places it in contexts such as "the Big Five, where you rate people on a numeric scale"; "tests with “factors” (eg the Big Five, where you rate people on a numeric scale) are inherently more accurate than those with “types”". It most often appears alongside /r/BadMTGCombos, @cremieuxrecuel, @justin_garson.

Reference entry
Big Five
Mention count
1
Issue count
1
First seen
November 01, 2024
Last seen
November 01, 2024
November 01, 2024 · Original source
It’s the red line on this chart; if you can’t see a red line at your screen resolution, then you’ve learned something important about the the EU tech sector. 37: Seen on @cremieuxrecuel’s twitter (preliminary, needs replication): Jews may have gone from 65-29 Democrat/Republican in 2020 to 58-40 this election. 38: Extelligence has a post responding to my critique of the cultural Christianity argument (among, uh, many other things), but I don’t really think it connects. I’m not telling atheists they can’t go to church/synagogue if it makes them feel happy and fulfilled - I’ve done this myself sometimes. My post was meant to argue against the claim that, for pragmatic reasons, atheists should support the Christianization of society as a defense against Islam or postmodernism or some other philosophical enemy. 39: Related: Extelligence is finally going for their Trust Assembly project/idea/startup for online consensus-based truth-seeking (I think something like a cross between Community Notes and Wikipedia, but as a browser extension, and for everything). He’s looking for potential developers/testers/users. 40: Jiankui He is the Chinese geneticist who made history with the first germline gene editing in humans (resulting in three babies supposedly immune to AIDS, although nobody has tested this). China sentenced him to three years in prison for unauthorized experimentation, but now he’s out of jail, has an English-language Twitter account, has a new lab, wants to work on Alzheimers, and seems pretty based (although not infinitely based): 41: Anthropic has a new version of their AI Claude which can use your computer. You give it permission, put it on a virtual desktop, and ask it to do things for you (eg “please find and download a picture of a cat” or “please research these ten things and put them in a text file”.) It moves your cursor, browses the Internet, and creates and saves files. People keep saying they’ll care about AI “when it operates autonomously” or “when it becomes an agent”. But this is a trivial barrier, and one which Computer Use Claude has arguably already passed. So far this feature is limited to developers (though anyone with computer knowledge can sign up for it) but I expect it to be the near future of consumer AI, to get better quickly, and to shade gradually into the “autonomous” “agentic” AI that you all think will require a paradigm shift. 42: Claim (from the IDF): Hamas faked polls showing that most Palestinians supported the October 7 attack; the real numbers are 31% in favor, 64% against. 43: Otto von Bismarck wanted to trick France into declaring war on Germany. In order to provoke the French, he sent the Ems Dispatch, a statement describing recent diplomatic events in a way that sounded maximally offensive. The French were so offended that “crowds” in Paris demanded war, and the Franco-Prussian War was declared soon afterwards. The part of this that I find most interesting is the text of the dispatch itself, which read: After the news of the renunciation of the Prince von Hohenzollern had been communicated to the Imperial French government by the Royal Spanish government, the French Ambassador in Ems made a further demand on His Majesty the King that he should authorize him to telegraph to Paris that His Majesty the King undertook for all time never again to give his assent should the Hohenzollerns once more take up their candidature. His Majesty the King thereupon refused to receive the Ambassador again and had the latter informed by the Adjutant of the day that His Majesty had no further communication to make to the Ambassador. I’m fascinated by the idea that only 150 years ago, it was obvious that if someone sent you this statement, you had to declare war or abandon all honor. If I read it carefully, I can sort of parse out that it sounds like the Prussians are unhappy, but that’s the most emotion I gather from it. Anyway, the Franco-Prussian War led to World War I which led to World War II - so if you don’t like 50 million people dying and the total devastation of Europe, blame this statement about ambassadors. 44: The first use of artificial insemination in humans: The first recorded case of artificial insemination by donor didn’t occur until 1884, when Dr. William Pancoast decided to treat a couple’s infertility by secretly inseminating the woman with sperm obtained from a medical student. The insemination happened while the patient was under anesthesia and Dr. Pancoast did not tell her what had occurred. She gave birth to a baby boy nine months later, but it was several years before the doctor finally confessed to her husband what he had done. Neither man ever informed the mother. It was 25 years later the result of this case was published. Dr. Pancoast was roundly condemned for his actions, but it did open the door for consensual sperm donor insemination. 45: ClearerThinking administers several personality tests to the same people to learn more about their comparative accuracy. I am most interested in their finding that tests with “factors” (eg the Big Five, where you rate people on a numeric scale) are inherently more accurate than those with “types” (eg Myers-Briggs, where you assign someone a specific category) and that, adjusting for this, Big Five is no more predictive than the Enneagram: 46: In 2022, I wrote Whither Tartaria, where I asked why ornate classical styles switched to more austere modernist styles around 1900 - 1950 in a variety of different arts (painting, architecture, literature, poetry, etc). I proposed seven theories, but was unsure which if any were true. Since then, Samuel Hughes of Works In Progress has been investigating. In May, he wrote a well-researched article showing that it wasn’t just increasing cost, because ornate classical architecture now costs less than ever. Now in a new article he demolishes a different theory - it’s not just decreasing cost (and subsequent lack of ability to signal wealth) - because costs didn’t decrease in several other arts, and the change was led by artists with rich people as reluctant followers. He concludes: Modernism may well be a status game of some kind; it may well signal taste more than it signals wealth; and this latter feature may be one of the things that distinguishes it from older artistic styles. But the mechanism by which this change came about must be different to the one Alexander describes. 47: Sort of kind of related - When Hamilton Lost Its Snob Appeal. The musical Hamilton was briefly an artistic/cultural phenomenon, but tastemakers eventually switched to making fun of it. Why? Rob Henderson says it happened after ticket prices came down and the common people could enjoy it. I disagree: everyone I knew who was into Hamilton got into it from the free online soundtrack long before they’d seen the show; I think this is more likely the usual fad cycle where anybody who’s too into yesterday’s fad is behind the curve and therefore uncool. 48: Related: Why are people such jerks to public intellectuals? And more. I agree this is a great mystery. 49: Some prominent Substack psychiatrists doing a video Q&A, submit your questions here. 50: Naomi Kanakia: The Literacy Delusion had a number of explanations for why reading books seemed to be so much worse for human beings (in terms of emotional wellness and productivity) than other forms of narrative entertainment, but its main theory was the integration hypothesis. That the stream of words in a book trained the human brain into a habit of self-consciousness, that reading books forced human beings to think of themselves as a stream of text, processed through time, making a coherent argument of some sort. And that this overall flattening effect forced readers to ignore aspects of their personality or their situation that were not otherwise in line with the overarching story they'd created about themselves. Basically, reading books causes repression and neurosis. The Literacy Delusion argued that, yes, human beings are storytelling machines, but that a stream of written text is a particular kind of story—a story that is particularly flat, particularly devoid of conflicting or harmonizing information—and that this flatness creates a peculiar effect on the human brain. 51: Last month, I linked Sasha Gusev’s No, Intelligence Is Not Like Height and asked people who disagreed to share their arguments; they sure did. First, several people pointed me to a new preprint, Family-GWAS Reveals Effects Of Environment And Mating On Genetic Associations, which finds that one of the main papers Gusev cited to make his case, Howe 2022, made a mistake - imputing sibling genotypes using a process designed for non-sibling genotypes - and that once that mistake is corrected, the finding disappears and intelligence and height appear similar. Second, Joseph Bronski has a more specific post where he responds to Gusev’s points one by one. He accuses Gusev of “[making] up his own chart to remove the error bars [from the originals], to obscure the fact that the study found no evidence for this in IQ”, and says that the cases where he didn’t do that are just “population stratification and range restriction”. Third, Noah Carl at Aporia, instead of writing a direct response like Bronski, argues that the usual method of attacking twin studies is obsolete; not only have the most-debated assumptions behind twin studies been thoroughly validated, but there are now other lines of evidence besides twin studies which confirm high IQ heritability. Fourth, Leonardo Parro (not framed as a response to Gusev) goes into more depth about one of those ways, a “pedigree-based analysis” demonstrating heritability of 54 - 69%, ie no “missing heritability” compared to twin studies. He summarizes this as the effect of “rare variants” compared to the usual SNPs - ie if you only look at the most common genes that are easiest to find, you get “missing heritability” compared to twin studies, but if you widen your search to rare genes that are hard to find, you don’t. 52: Extremely related: Heliospect is a startup promising polygenic selection for IQ and other traits; they were trying to stay in stealth mode but The Guardian spied on them and nonconsensually revealed their existence. The discussion on the r/ssc subreddit centered on their claim that (given enough embryos to choose from) they could increase a baby’s expected IQ by 6 points (I’ve also heard 7.5). Sasha Gusev had previously argued that current technology maxed out at 3.5 and future technology would max out at 6, so a claim of 6 - 7.5 is pretty extreme; Gwern, who wrote the pioneering analysis of this technology, was also skeptical. But Heliospect says they’ve got better predictors than academia that use the rare variants everyone else misses; after talking to the company, Gwern retracted his objections and says he finds their claim “pretty plausible”. Local ACX commenter geneticist Gene Smith also redid some calculations, changed his mind, and says “probably pretty realistic”. I find this interesting not just because of the polygenic selection angle, but because if Heliospect is right then their predictor is able to predict more genetic IQ than the “missing heritability” people believe exists, and it should be able to put this argument to bed once and for all. 53: This month in censorship: X/Twitter banned journalist Ken Klippenstein for sharing the Trump campaign’s dossier on JD Vance. Twitter’s side of the story is that the dossier was probably originally stolen by Iranian agents and they don’t want to support that kind of thing by letting people signal-boost the illicitly obtained goods; you can read Klippenstein’s side here. He appears to be unbanned now.
Big Five traits

Big Five traits is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 11, 2023 and August 11, 2023. The archive places it in contexts such as "the famous Big Five traits of personality psychology". It most often appears alongside Achilles, ACX, Adam Smith.

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Big Five traits
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August 11, 2023 · Original source
I’ve been suggesting a critique, or waving my hand in the direction of one, but let me tell you how much there is in this book. There’s the introduction to the basic theory of cultural evolution – the psychology that lets humans have cultures and how ideas can transmit themselves down generations. There’s the definition of WEIRD psychology, including dispositionalism (the tendency to explain people’s actions by their innate character), and the tendency to categorize rabbits with cats not carrots; and the fact that even the famous Big Five traits of personality psychology don’t generalize very well beyond the WEIRD countries. There’s a taxonomy of the institutions that help human groups scale up their cooperation, starting with unilineal clans – the basic unit of intensive kinship, and the blind alley that most human societies got stuck in, on Henrich’s account – and including segmented lineages, age sets and premodern chiefdoms and states. (This is a very scientific, comparative approach to anthropology. I would love to hear a debate between Henrich and David Wengrow, whose book The Dawn of Everything, reviewed in ACX here, takes a much more voluntarist approach, starting from the view that there are many ways to organize a society, and that rational collective institutional design is pretty much a human universal.)
Big Government

Big Government is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 25, 2024 and January 25, 2024. The archive places it in contexts such as "It’s a plot by Big Government to regulate Big Tech". It most often appears alongside 1979 study on capital punishment by psychologists, 2016 election, Bayesian updating.

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Big Government
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January 25, 2024 · Original source
It’s a plot by Big Government to regulate Big Tech.
Big History

Big History is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 14, 2023 and July 14, 2023. The archive places it in contexts such as "they should get a sense of Big History". It most often appears alongside !Kung San, aboriginal people on the west coast of Canada, Adam Smith.

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Big History
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July 14, 2023 · Original source
This is a review of his 1997 book, The Educated Mind: How Cognitive Tools Shape Our Understanding. It’s his opus, the one book in which he most systematically laid out his paradigm. It’s not an especially easy read — Egan’s theory knits together evolutionary history, anthropology, cultural history, and cognitive psychology, and tells a new big history of humanity to make sense of how education has worked in the past, and how we might make it work now.
From trivial to rich: the trick What could an intellectually rich elementary school curriculum look like, if we built it on kids’ cognitive strengths? He gives us one suggestion to help us do this: ask where each discipline came from in the first place. What was math before it was math, for example — or science before it was science? Q: How on Earth could that help? That’ll become clear later, when we finally uncover what Egan thinks “education” actually is, and see what job he wants us to give schools. For now, take it as a tantalizing hint… or, y’know, just ignore it. Elementary literature & language What was literature before it was literature? Before people invented writing, they had rich oral traditions: they told simple stories, recited poems, and shared proverbs. Egan suggests that these bits of oral tradition should form the backbone of the elementary literature curriculum. Q: What sorts of stories? As many as we can, and from as many diverse cultures as possible! Folktales are wonderful, as are myths. Think the Aboriginal story of “The Rainbow Serpent”, episodes from the Sumerian “Epic of Gilgamesh”, the Egyptian story of Osiris & Isis, the Greek story of Orpheus & Eurydice, the Chinese Legend of the White Snake, the Japanese Tale of Amaterasu and Susanoo, the Ashanti tales of Anansi, the Aztec myth of Quetzalcoatl, the English legend of King Arthur, the Maori myth of Maui and the Sun, the Roman story of Romulus and Remus, selections from the Indian Mahabharata, the Anglo-Saxon epic of Beowulf, the Inca legend of the Sun and Moon, the Iroquois Myth of the Flying Head (a real thing! look it up!), and the Ojibwe story of Turtle Island. Q: That was a lot of examples. Are you going to keep giving so many? I’ve got a [mumble mumble mumble] to get to. Sorry about that. Sometimes, though, I feel that a limitation of reading Educated Mind is that, in trying to keep his book to a manageable size, Egan skimped on examples in some places that it matters. It’s easy to read his occasional example and assume he intends that it hold some central place in the curriculum — when all he wants to do is display how rich and diverse the curriculum could be. (Also: good God, I didn’t even include an example from Norse mythology!) So from now on, just assume that every category could be filled with oodles of examples. Q: What sorts of poems? Lots of poems, first of all. We shouldn’t steer toward “fancy” poems — rather, we should find poems that appeal to kids immediately — think Shel Silverstein, Mother Goose, Dr. Seuss, Jack Prelutsky, Edward Lear, or Ogden Nash… that sort of thing. In a biting essay, Egan suggests these poets like these appeal to kids precisely because they leverage kids’ cognitive strengths: “we should find, and encourage saying and singing and shouting aloud verse with strong narrative forms, thumping rhymes and rhythms, the most vivid images, fun with metaphors, and a rollicking story.” Q: Why proverbs? Proverbs stick in your mind almost effortlessly. (“All’s fair in love and war!” “When in Rome, do as the Romans do!” “You can’t judge a book by its cover!”) They’re also useful; they capture general truths. Kids can apply them to all sorts of situations, but also discuss them — to what extent are they wise or foolish? (I remember my surprise when I realized that they couldn’t all be true — because you can’t follow “look before you leap” and “he who hesitates is lost” at the same time! I’m embarrassed to say that I think I only realized this when I was in college.) Elementary science What was science before it was science? Egan suggests: being immersed in the natural world. We might, he writes, encourage elementary students to “adopt” some feature of the natural world — a patch of grass, a cat, a branch, a stream — and simply observe it at length. To do this, we can use the cognitive strength of reverie. Q: Oh, do you mean like kids sometimes do in science class nowadays — describe a thing to a partner, make notes, draw it, and label its parts? No, the exact opposite! That’s all about squeezing the experience into words and forms that we understand. What we want “is less an attempt to know about nature as to know it in some participatory way, to know it as something we are an intimate part of, not set off from”. Q: That sounds a little… “woo” to me. It did to me, too… until I remembered my childhood climbing tree. I didn’t much like to go outside as a child, but I had this one tree that I’d climb up and read for hours and hours. If I close my eyes I can bring to mind the precise texture of its bark, the roughness of its broken-off branches, the coolness of its leaves, the always-surprising solidness of its trunk… I’m bigger now, but I think if I were back in my parent’s yard, I could still navigate its limbs with my eyes closed. I have, at this point in my life, read a fair number of books about trees, but I’d be surprised if all of them together more than equaled the amount I learned from that tree — my tree. Elementary math What was math before it was math? Egan suggests: counting and logic. We might, then, use rhythms, metaphors, stories, and jokes to help kids become fond of these. Q: Counting is pretty… basic. Could it really be improved? Beware of “the curse of knowledge”: Steven Pinker’s phrase for forgetting that something was once difficult! Egan suggests we should spend time helping kids count wonderfully. We can start early with counting rhymes. (“One, two, buckle my shoe! Three, four, out the door! Five, six…”) But we can also help kids use their fingers as metaphors. There are some pretty cool ways of using your hands as an abacus — and did you know that you can count up to 1,023 using just your fingers on both hands, and a knowledge of binary? Q: Logic — I’m intrigued! Aristotelian, or Boolean? Neither, for the time being — Piaget was presumably onto something when he found that young children couldn’t reason abstractly, but he was looking at logic in a vacuum. When we put logic into the context of stories, we find that kids can deal with logic just fine. There’s an entire worldwide network of educators, in fact, called Philosophy for Children, who have written whole books about how to do this, and Egan loves it all. Sometimes they read stories and ask simple questions: “What is friendship?” or “What does it mean to be brave?” They also pose ethical questions: “Is it ever right to spill a secret?” And they pose paradoxes: “Can you step in the same river twice?” Q: You mentioned “jokes” a moment ago. Care to elaborate? Egan thinks that, to help kids get good at math, you should tell kids jokes. Q: That’s… new. I think so, too — but he backs it up pretty well. To be funny, jokes (or at least most kid jokes) rely on a leap in logic: Why can’t you trust an atom? They make up everything. Knock-knock. Who’s there? Boo. Boo-hoo? Don’t cry, it’s just a joke! To understand the joke, kids have to follow the logic — spotting patterns, making connections, and tracking what their audience expects a word to mean. That’s a lot of cognitive lifting. And Egan goes further, suggesting that we grit our teeth and create methods to help kids invent their own jokes, no matter how horrible they’ll be at first. (The things we do for learning…) Q: Wait wait wait! What about addition facts, and multiplication tables, and fractions? Egan emphasizes that his methods are designed to be add-ons to the standard math curriculum. In general, he’s a don’t-blow-up-the-system sort of guy, and if something seems especially weird, you should probably assume it’s an add-on to the regular curriculum rather than a replacement, even if I forget to say so. Elementary arts What was art before it was art? Egan suggests we pop our heads into Paleolithic caves for our inspiration. Whatever the specific meaning of all those charcoal elk and aurochs and mammoths (communication with the spirit world? art for art’s sake? a way to impress babes?), Egan thinks it obvious that they were also an attempt to capture an intense experience that would be difficult to express in words alone. What did it feel like to be near an aurochs, or a saber-toothed tiger? “The arts help us,” Egan writes, “to hear and see afresh, to force our perceptions and sensations to experience again the immediacy and vividness of the world”. If we follow this, then, we don’t want to help kids build “art skills” so they can draw like an adult — rather, we want to help them amass a repository of diverse aesthetic feelings that they’ll want to express. We should provide them with a riot of experiences. Q: That couldn’t be more opaque. Examples, please! Egan writes that we should have children learn to whistle, sing, and click their tongue; we should help them emulate the ways a skunk or a hawk or a stick bug might move through a space. We should expose them to scores of different temperatures and materials. In music, we should help them love Beethoven, yes, but also the Beatles; Tchaikovsky, yes, but also Tuvan throat singers, and also John Cage, whale song, and bird song. Q: That’s a lot of experiences, but what would they be doing? An interesting aspect of Egan’s view of education is that he doesn’t seem to think we should push kids right to the “doing” phase. He wants to help kids cultivate an affective relationship with the world. In any case, he writes that as students get more experienced, we should prompt them to move from merely enjoying these experiences to trying to systematically shape similar experiences. And drawing, painting, and playing music could easily be folded into other parts of the curriculum. Elementary social studies What was social studies before it was social studies? Well. Remember how, just a moment ago, I wrote that you could assume that you should probably assume that Kieran isn’t in favor of junking the curriculum as it currently stands? He suggests we very carefully pick up the elementary social studies curriculum, place it into a trash can, and set the whole mess on fire. He isn’t worried about much of importance being lost. (Remember that the “expanding horizons” model is, to him, the original sin of 20th century educational reform, and he repeatedly quotes student surveys showing that “social studies” regularly wins the title of “most boring subject”.) In its place, he suggests we put history — which, he hints, we should think of as the centerpiece of the elementary curriculum. So the real question is what was history before it was history? His answer, surprisingly, is myth. Q: Egan wants us to teach myths as if they were history? Not at all. What he suggests, though, is that we look at how myths operate as narratives — so we can design an intellectually vivid history curriculum. And myths really are special: each is built on at least one binary (like weak vs. strong, or lies vs. truth, or so on), and uses that to tell the story of the big picture of the world. They’re so powerful that people can understand it, remember it, and love it — even if that thing never happened. We should take that power, Egan says, and apply it to things that really did happen. Q: So what history does he think kids should learn in elementary school? The great struggles of humanity from across the whole. Flippin’. World. We’re still talking about young children, so these should be done as simple stories. The goal isn’t to make them history PhD’s, so we needn’t even try to put them in any sort of order. Egan suggests that, in first grade, we pick a single binary like “freedom against oppression” and tell kids a welter of stories, again from as many cultures as possible, and as many times in history as possible. Q: Can you give examples? Oh, all right — in first grade we can tell kids the stories of the war of the Greek city-states against the Persian empire, and the slave uprising of Spartacus against the Romans. We can tell them about the plight of Jews in medieval Europe, and of the unsuccessful Sepoy Rebellion in India against the British. We can tell the stories of the American, French, and Haitian Revolutions, and about the Chinese Taiping Rebellion against the Qing Dynasty. We can tell them the story of the escaped slave Harriet Tubman returning to the South to rescue her kinsmen, the story of six-year-old Ruby Bridges facing threats to integrate her elementary school, and the story of how the Mau-Mau uprising led to modern-day Kenya. We can tell the stories of Mexican-American union organizer Cesar Chavez and of Malala Yousafzai surviving an assassination attempt to advocate for female literacy. The world does not lack for stories of oppression and liberation that can capture the attention of a six-year-old. Q: That’s… huh. What stories might they hear in second and third grade? Egan gives examples, but I won’t list them here. He suggests we use a similar approach for each, except that we swap out the binary each year. He thinks “the struggle for security against danger” would work well for year two, and “the struggle for knowledge against ignorance” would work well for year three. (That year could have a lot of overlap with the science curriculum.) Q: Anything else, for history? Yes — they should get a sense of Big History. They should get some simple stories about the ice age, the Cenozoic, the age of dinosaurs, the Paleozoic, the origins of our solar system, and the Big Bang. (Because if the ancient Norse can tell their story of the beginning of the universe, by gum, we can tell ours, too.) To sum up Egan argues that the problem of early schooling is that it’s trivial — and it’s trivial because the dominant theories of educational psychology see children as lesser versions of adults. What else would we teach them, except dumbed-down versions of what adults learn? But children have certain cognitive strengths that schools aren’t making systematic use of. If we rebuild elementary schools on those strengths, we could turn schooling upside down. We could stop seeing the curriculum as a bag of information to impart, and start seeing it as a set of great stories to tell — and invite kids into. Kids could experience (both intellectually and emotionally) the great struggles of humanity and see that they can join in them. Students could experience the story of education as the beginning of a very real adventure. Egan’s elementary school: some skeptical questions Q: I’m not sure I’m understanding what you mean by “mental images”. Care to explain? It’s an interesting fact of human cognition that just a few words can whip up a complex mental experience. Egan doesn’t just mean what we might call “visual imagery” — the ability to hold, say, the image of a bespectacled, spat-wearing duck in your mind without seeing a photograph. He’s also including what psychologists call auditory imagery, olfactory imagery, gustatory imagery, and tactile imagery. Q: How could all of that be helpful in schools? Humanity has a built-in VR system, and we’re not using it! Egan invites us to pretend we’re teaching a class about the humble earthworm. We might list off facts — “earthworms are so many centimeters long, move through soil by means of their something-or-other muscles…” but he suggests we can evoke images, say, “of what it would be like to slither and push through the soil, hesitantly exploring in one direction then another, looking for easier passages, contracting and expanding our sequence of muscles segment by segment, and sensing moisture, scents, grubs, or whatever”. Those facts are now felt by the student; the knowledge has become part of them. And just a few words can spark a complex mental experience, one going beyond literal images to include imagined sounds, smells, tastes, and more. These experiences can feel real and stick with us. (That these mental images are so easy to evoke, and so meaningfully felt, feels something like the proverbial hundred dollar bill on the ground.) Q: How could metaphors be helpful? It really is interesting that so much of the “constructivist” turn in psychology — that is, the notion that children don’t absorb knowledge, but construct it — has continued to focus on logics-mathematical reasoning, when there’s been mounting evidence for decades that metaphors are more central. It’s not just that we use metaphors to better understand things we already know, we also use them to grasp new knowledge. What’s more, psychologists have devised tests to measure the skill at metaphor-making, and have given them to people of different ages. What they found was that eleven-year-olds make more metaphors (and higher quality metaphors) than do undergraduates — and that four-year-olds have both groups beat. Again, hundred dollar bills on the sidewalk. Q: Your talk of “binaries” has me worried — binaries like good/evil and male/female are the source of so many of our most pernicious stereotypes! Isn’t the purpose of education to get us beyond stuff like this? Yes, it is! Education is supposed to complicate our understanding — but that means we’ve gotta start somewhere, and binaries provide us a natural starting place. As an uncontroversial example, think about temperature. We all begin as babies by perceiving two temperatures — hot and cold. Later, we add on intermediate categories — warm and cool. (Note that the human body is the assumed mid-point to temperature. Binaries often work like this; “big” and “small” mean “bigger or smaller than me”, “nasty” and “kind” mean “nastier or kinder than I am, except when my brother is really asking for it”, and so on.) A good story (and an Egan-inspired elementary curriculum is, in a sense, nothing but good stories) will go further, and transform the binary. Toy Story is grounded in the binary of abandonment/belonging: at the beginning, the toy cowboy Woody belongs to his owner, and has his affection. Then a rival comes who threatens his belonging. In trying to get back to belonging, Woody is entirely lost — and to save the day, he has to come to a deeper understanding of what belonging means. Now, all lessons can’t be Pixar movies. But the good stories (especially in literature and history) will challenge and subvert the binaries they begin with. Q: I see the pattern of Egan drawing from “as many cultures as possible”. Why so many? Is this a political correctness thing? If it helps to think of it as such, then, sure! I don’t think Egan would have had a problem with that. But his ultimate reason for including so much diversity goes deeper. For Egan, including such world-wide diversity isn’t optional, and the answer to why is bound up in his definition of education. (Keep reading.) His answer also insists that we, whenever possible, also include stories from the Bible and Homeric epics (the Iliad and Odyssey). Q: Mmm, stories from the Bible aren’t going to fly in my local school! So be it! Egan doesn’t spend much time obsessing over the practicalities of… His interest is in describing what an ideal education might look like, if it were possible. Every lesson, every classroom, and every school is necessarily a compromise. Q: You make a big deal of poems. But isn’t poetry dead? An interesting contrast can be made to classical education, which also has kids read a lot of poems — they see knowing great poems as one of the marks of an educated person; again, for an academicist, it’s the information that transforms. Egan begs to disagree. Poems are important because they’re a wonderful way to train their cognitive strengths, like rhythm (poems are language fueling by thumping). We want to help kids learn to use this tool better, and a great way to do that is to help them recite poems that they’ve learned by heart. Q: “Learn by heart” — is that code for “memorize”?! It is! Egan is actually quite big on memorization — he points out that all the knowledge in the world can do nothing for a person once they’ve forgotten it. He didn’t, however, appreciate the academicist focus on memorizing without understanding (or at least enjoyment). Q: I’m still worried about the science curriculum, as you’re describing it. Can you allay my fears? Honestly, while I feel there’s something profoundly right to how Egan is describing early experiences of nature, I feel the same way. Note that there’s more science coming in the social studies curriculum. But if that’s still not enough, one could bring down aspects of the middle school science stage. Q: Anything else that Egan suggests we do in elementary school literature and language? He suggests that we help kids learn a second language! This is so obviously true (why do American schools typically wait until kids lose the ability to naturally absorb languages to start teaching languages?) he doesn’t belabor it, though. Q: You had mentioned that Egan’s vision seems more internal-focused. Should we be worried about that? While I strongly suspect that his curriculum would make kids more creative in any way you’d like to measure it, Egan wasn’t particularly interested in “creativity” — he was more about helping kids find the world interesting. I get the sense that he thinks kids will do things with minimal prompting once they’re loaded up with complex internal experiences. Q: I think I’m beginning to understand Egan — is he basically saying “make learning fun”? “Fun”, applied to education, is a dangerous word. Egan worries about the dangers of an emotionally unserious curriculum producing emotionally stunted adults. That doesn’t mean we need to tell students only “serious” stories — only that we treat the world honestly. “Disney-esque sentimentality is the exact emotional equivalent to intellectual contempt”. Q: But aren't some of these stories too dark for children who have themselves experienced oppression and disaster? Egan argues that these stories may be especially helpful to them — they can help them understand their struggles better, and give voice to them. Q: At the very start of this, you promised us “rationality”… but I’m not seeing rationality here! All this talk of “adventure” almost seems to go the opposite direction. What gives? Wait for it. But for a hint right now — Egan is fond of citing his fellow educational theorist Jerome Bruner, who claimed “any subject can be taught effectively in some intellectually honest form to any child at any stage of development”. Bruner was criticized for that; his critics charged that he was ignoring learning differences and socio-economic realities. Egan thinks he was profoundly right. Part 3: A new kind of middle school What’s the matter with middle school? What was middle school like for you? In math, I recall a jumble of barely-related topics. In literature, I remember reading great literature — Frankenstein, Romeo and Juliet — only in their dumbed-down summary formats. In social studies, I remember teachers proclaiming on the first day of class that unlike all of our previous history classes, this class wouldn’t be about names and dates… and then going on to memorize names and dates. And in science, I remember being forced to dissect a frog only to discover that frogs are — you guessed it — made of slimy frog parts. Your mileage may vary, but for a lot of us, middle school feels like getting booted out of the (in retrospect) Eden of elementary school, and like marking time before the serious studying of high school. It feels meaningless. In my favorite of his books, Egan calls so much middle school curricula “human deserts”, noting “we have created a system in which the importance of human emotions for meaning seems barely noticed”. Why so meaningless? If our dominant approaches to educational psychology fundamentally misinterpret younger children, Egan suggests, they basically throw up their hands when faced with pre-teens and teenagers. Mainstream schools begin to introduce vocational training to help lighten the load, and Maria Montessori famously suggests that adolescents should be sent to go run a farm. Egan is sympathetic to those responses, but points out that they don’t do much to lighten the load that the academic curriculum often becomes at this age. This feeling of meaninglessness, he argues, is utterly tragic — it comes just when a hunger for meaning blossoms in adolescents! We can see that hunger for meaning in their lives outside the classroom, where their interests ramp up into veritable obsessions. What are adolescents obsessed with? What might we see, if we become Jane Goodalls of early adolescence? First, teens are obsessed with gossip. The motivations of others — why did he do that? and what was he THINKING? — are hypothesized and talked to death. Second, that they’re pulled toward idealism. Many feel a dissatisfaction with the world as it is, and feel a romantic urge to make it a better place. They’re often lured into simplistic beliefs that promise to help them do that. Third, they love extremes: they want to find limits, and test them. Obviously, this can show up as risky behavior, but we can also see it in their love for the bizarre — note adolescents’ fascination in things like aliens, cryptids, and ghosts. (Egan loves pointing out that The Guinness Book of World Records is a perennial bestseller among kids at this age. How else would they find out who had the world’s longest fingernails?) Fourth, they gravitate toward heroes — people who push the edges of those limits. By celebrating heroes, they can vicariously share in their transcendence. Look for the posts hanging up in a teenager’s bedroom to guess what boundaries they feel most hemmed in by: athletes push against physical limits; a death metal guitarist might push against authority and conventional morality. An activist or entrepreneur might push against our dulled morality or our sense of what’s possible. Finally, we might spot teens taking up hobbies and making collections. Hobbies can be a way to identify yourself as part of a group against the rest of the world (“I’m the sort of person who goes bird-watching!”), and collections can be a way to climb the status ladder inside the community. Egan points out that a collection can also be a way to feel like you have control over what you’re discovering is a very big and complex world of detailed information (“I’ve spotted every one of the fifty most common birds of Texas — even the black-capped vireo!”) Egan’s insight is that these obsessions give teenagers a sense of meaning, and that we can use them as tools to make middle schools that overflow with meaning. From meaningless to meaning-soaked Again, Egan sketches out a new kind of curriculum subject-by-subject. Before, his trick was to ask where the subject first evolved out of; now, it’s to ask who first discovered or created the specific content we’re teaching. “All knowledge”, he writes, “is human knowledge. Everything we know is knowable through the lives of its inventors, discoverers, or users, and we can have access to that knowledge through the hopes, fears, or intentions that drove them”. Middle school math Who first discovered the concepts students learn in math? The answer, of course, is a wide diversity of curious men and women living across the world over the last few thousand years. Egan says: bring those people into how we teach math. If we used gossip and heroes to help students find it meaningful, what kind of math would result? When we teach the Pythagorean theorem, we should give a sense of who Pythagoras was — a cult-founder who worshiped numbers to find God, whose followers (according to a piece of ancient gossip) murdered one of their members who discovered irrational numbers! Q: Well, sure, that works for Pythagoras, but he’s a known nut job; surely most math doesn’t come from such interesting roots? When we teach the Cartesian coordinate system, students should meet Rene Descartes, the Calvinist French polymath who saw the possibility that math could decipher the world, if only we could unite algebra and geometry… and invented the xy-plane to do exactly that. When we teach scientific notation, we should call our students’ attention to the importance of the number zero, and tell them the story of the Pope who tried to introduce Arabic numerals to Christian Europe and may have been assassinated because of it. When we teach algebra, we should ask students why “algebra” is Arabic for “the fixing of bones”, and tell the story of what Muhammad ibn Musa al-Khwarizmi was up to. We could do this all day. Literally everything students learn in school was first invented or discovered by some interesting person who was struggling to accomplish something hard. To learn is to connect with those people, whether we know it or not. Egan says: help kids know it. Math has been dehumanized: re-humanize it. Q: So the math curriculum needs to become a history of math curriculum, and math teachers need to become history teachers? No, the content needn’t change. But with surprisingly little work, we can bring in the gossipy stories of heroes, and their obsessions can spread to students. Middle school science Who first discovered the things students learn about in science? If you’re thinking “scientists”, you’re only partially right. Most of the big-picture ideas that we now think of as “science” were discovered before the word “scientist” was invented, or the discipline was professionalized. Frequently, they were hatched by true amateurs, working in their free time, hungry to unlock the secrets of nature. We can use gossip and heroes to spread their obsessions to students just as we taught math, but Egan points out two twists. The first is that the content itself can take on heroic qualities: everything is impressive, when you look at it in a certain light. In an interview, Egan once said: “My book is an attempt to show that, indeed, everything in the world is wonderful, but that schools are designed almost to disguise this slightly shameful fact. We represent the world to children as mostly known and rather dull. The opposite is the case: we are surrounded by mystery, and what we know is fascinating”. What would even the most boring subjects look like, if we emphasized their heroic qualities? Well: What’s a tooth? Bone, wrapped in rock, surrounding tiny cells that your body feeds with blood. What’s a bar of chocolate? A crystal of jellyfish-shaped fat molecules stacked together; when you put it in your mouth you shake them apart into a writhing confusion. What’s the air around you? The bottom of a 10-mile-deep ocean; when you put your tongue over a soda straw and your Pepsi stops leaking out, it’s not because a “vacuum” is “sucking” it up, but because that ocean is squeezing it into your face. Again, we could do this all day! And in middle school science, we can. Everything in the world is wonderful; we can help students see this again and again. The second twist is that science is a subject rich in extremes. Here Egan introduces a concept that we’ll see crop up again: “15-minute segments”. To help us fit as much wonder as possible into a school day, he suggests we supplement the usual school subjects with a few quick lessons. To infuse science with extremes, he suggests we add on three: “human & natural records”, “extremes of animals & plants”, and “cosmology”. Middle school history Who first made the things students learn about in history? Why, the historical characters themselves! Since we’ve given kids a grounding in history in elementary school, now we can build on that, going through many of the same events as before, but in more depth, and more vividly. We’ll leverage the interest with other people’s inner lives to tell stories focusing on the perspectives of the people who made history — zooming in, when possible, on scandalous details. We’ll leverage the tool of idealism to choose historical characters who chafed against their surroundings, and understand what they were trying to accomplish. What was their vision of the world? What did they hope for, and what did they fear? Q: Isn’t the “great man” approach to history out of fashion? Egan’s approach doesn’t say that “great men” made history — it’s just leveraging gossip to help kids see history as something meaningful that can expand their own possibilities. “Early adolescence is commonly a time of intense and vivid emotional life, and also a time of deepest boredom and depression… [We] can give shape to the intermediate curriculum and offer the students a world that is rich, complex, varied, and as intense and vivid as their own emotional lives”. We also should add on another “15-minute segment” just to pump in as many biographies as possible, and from people who don’t always fit into the normal history curriculum. Call it “Brief Lives”, and throw in anyone who’s struggled to push some limit — Mary Wollstonecraft, Jesse Owen, Dietrich Bonhoeffer, one of the students’ great-aunts, whoever. As students get older, this can transition to “People and Their Ideas”. Here, we’d focus less on the details of the person’s life, and use it as a backdrop to showing how meaningful some of history’s most important ideas could be. Think Aristotle and syllogisms, Edward Said and orientalism, Confucius and propriety, Cornel West and race, Buddha on the four noble truths, Muhammad and the five pillars, Karl Marx and communism, Adam Smith and the invisible hand, Thomas Hobbes and the state of nature, John Locke and natural rights, Jeremy Bentham and utilitarianism, Thomas Aquinas on the sacraments, Martin Luther on faith, Voltaire on the freedom of speech… you get the idea. Q: Can you really get a profound understanding of utilitarianism in 15 minutes? Yes! The point of this segment isn’t to develop a systematic understanding of any one idea, it’s to introduce students to the exciting possibilities of human thought. (As a bonus, this might make them less likely to fall for the first ideology that they encounter later in life.) Diversity is important for this — as it is with culture. Throughout this, we should also be trying to expose students to as much cultural diversity as possible, because in high school, we’ll be trying to make sense of our society, and it’s impossible to do that unless we have something to compare it against. Middle school literature & language You might think that this subject would be easy — that middle school literature is already filled with “strong and clear narratives”, that it deals with “transcendent human qualities such as courage, love, and persistence”, that it focuses on “extremes of human experience”, that it examines “something strange and exotic”. You’d be right! Egan’s pretty happy with a bog-standard middle school literature curriculum, done well. In this part of the book, his spends most of his limited space suggesting three rather odd activities which could also be useful — especially for increasing students’ awareness of language, so they can use it better. The first is etymology — not, however, memorizing lists of roots, but in being told the entertaining backstories of specific words. Take the word “berserk”, for example — we now use it to mean something relatively mild (“if my mom catches me coming home late, she’ll go berserk”), but it comes from an old Norse word meaning “a raging warrior of superhuman strength”. And that’s because ber meant “bear” and serk meant “shirt”: soldiers of the bear cult would don the skin of a bear to, in their minds, transform into one — howling, foaming at the mouth, and gnawing the rims of their shields. (Most adults walk through life with little understanding that the words falling out of their mouths are entities, with their own back-stories. Communication is, at the very least, more interesting when we become aware of this.) The second is to add on another language to learn — not, this time, to become fluent in it, but just to become aware of how very different human languages can be. (For native English speakers, Sanskrit might work well, or Cantonese, or perhaps even ancient Egyptian. Again, the point isn’t for this language to be useful — it’s to explore diversity.) The final one is to study humor — not just jokes anymore, but comedy at its finest. Egan cites (at length!) Monty Python as a group of people who were particularly brilliant in their use of the English language. Examining their skits can lead us into not just an appreciation of semantics (the study of how meaning is made from smaller pieces, like etymology) but also pragmatics (the study of how meaning is made in social situations). Pretty heady stuff, for a conversation about a dead parrot. Part 4: A new kind of high school I’ll confess — I loved parts of high school… and among nerdy folks, I suspect I’m not alone. For some of us, this was a golden time. Even at my local public high school, I had access to academically thrilling classes — especially, in my last two years, advanced literature and history. I felt like I was finally understanding the ideas that mattered. In any case, Egan is quick to acknowledge that, at this level, the sort of education he advocates really is being practiced in some places. What he can add is an understanding of what makes it wonderful, how to make it even more wonderful, and how to make it wonderful for many, many more people. What’s the matter with high school? Far too often, even when high school classes are intellectual, they’re dry. For the majority of students, all this academic stuff is experienced as utterly lifeless, a mass of dead information to be squeezed inside one’s head for a test and then left to evaporate. Egan mocks the curriculum wars that seem to be a permanent feature of the teaching life; quoting the sociologist Pierre Bourdieu, he says “while the academic left and right bicker over whether the curriculum is too traditional or too radical, they fail to recognize that most students absorb so little of academic culture that the bickering is largely irrelevant”. Why so dry? Egan suggests three reasons to explain this. First, because high school academic classes are too often masses of small details with no sign of the big picture. Second, because they’re typically slavishly disciplinary, and aren’t able to address the questions that span the disciplines. Third, because they’re often designed to bring students through what everyone is sure of, and hide away any controversies. In all of these, Egan suggests that what’s called “academics” in high school is too often a dim imitation of what real academics are actually practicing. There’s a fourth reason, though, and it’s probably the biggest of all — by the time they get to high school, most students haven’t actually learned that much! An academic approach is designed to connect small details into the big picture; for people who arrive in high school (and college) classes without having already collected much in their heads, academics are going to taste dry. (An implication of this for anyone trying to improve schools is that we might not want to start with high schools. If your goal is to create a new kind of academic learning, first start at elementary school — or barring that, middle school.) What motivates mad scientists? When we wanted to re-conceive the elementary and middle school curriculums, we looked at what students were already good at — kids’ cognitive strengths and adolescents’ obsessions. For this level it might be easier to look — for reasons that will become clear when we finally unveil Egan’s crazy-sounding definition of education — at the sorts of things that bring intellectuals joy. Q: Which intellectuals? Take your pick. Galileo, Einstein, Smith, Marx, Goodall, Chomsky, Curie… all the people who took to the life of the mind like fish to water. But that’s a lot to hold in my mind at once, so I’m just going to think about Doc Brown from Back to the Future: He was high on intellectualism I’ve never been there, but the brochure looks nice Let’s call these people “mad scientists”. And let’s pretend we once again took up our job of being primatologists, and snooped on these folks “in the wild” (“in the lab”? this is beginning to get recursive…)… what would we find motivating them? Asking simple questions, for one. (What is space? What is society? What is a human? What is language?) Building general schemes (big theories) that hold lots of evidence together. Finding their place in the cosmos. And (perhaps above all) seeking certainty. Once again, Egan suggests we use these as tools to remake the curriculum. From dry to daring What could a high school curriculum look like, if it were rebuilt on these tools? Once again, Egan has a trick. This time, it’s to ask what fights have driven the development of each of these fields forward — and how we can help students enter them. First, a mini-segment! Intellectuals invented the academic disciplines to better pursue the life of the mind, but the disciplines can get in the way. Some of the most important intellectual discoveries that could help students are too big to fit into any of the disciplines. We need a place to introduce them plainly. Egan proposes another mini-segment — again, just 15 minutes a day, a few times a week — called “Metaknowledge”. Q: Isn’t that already in the International Baccalaureate program? Yes, he acknowledges that he’s borrowing from that! This segment would introduce ideas that would enrich student thinking across the disciplines: game theory, cognitive biases, systems thinking, Bayesian reasoning, epistemology, ethics, logic, cultural evolution, and so on. High school literature How can we help students enter the big fights of literature? Intellectuals of a literary bent — professors, critics, poets, novelists — delight in arguing over literature like rabbis arguing over the Talmud. Take, just for one example, the debates over Shakespeare’s character of Ophelia. Does she love Hamlet, or is she a victim of his emotional abuse? Is she truly insane, or is she acting? Is she passive, or is she pulling the strings? Oceans of ink have been spilled arguing over questions like these; our students can, perhaps, spill a few ounces more. The usefulness of arguing literature, for Egan, isn’t that it’s oh-so important for educated adults to know a lot about Ophelia. (This, again, was where the academicists went wrong — in thinking that being educated was about getting the best knowledge in your head.) Rather, arguing over literature is a training arena for the all-important intellectual move of this kind of understanding: building general schemes out of evidence, and struggling with anomalies. One person, for example, might hold that Ophelia is insane, and cite all sorts of obvious evidence — her father just was murdered by her lover, she rants nonsense while (bizarrely) handing out flowers to friends… But then he’s challenged when he reads a scholar pointing out that, to people in Elizabethan England, types of flowers have symbolic meanings. How does he deal with that? He could ignore it, claiming it an over-reading of Shakespeare. (Sometimes a flower is just a flower!) Or he could address it, complicating his own scheme. This intellectual work is best done with other people, who are incentivized to challenge your understanding of something, and go back and forth, building competing models and calling attention to anomalies. This process — the “dialectic” — pops up again and again in the academic disciplines. It’s the center of how understanding works, at this stage. And the nice thing about practicing it on literature is that, more so than in history or science, the evidence is shared knowledge — it’s right in front of everyone, written out. But there are other ways literature class can be helpful to the general life of the mind. Egan also suggests that we’ll want to specially include literature that helps students understand complex ideas. Camus, Orwell, Borges, Calvino might be particularly helpful here… and I imagine that genres like science fiction and magical realism might be particularly useful, too. (Note, though, that once again none of this requires a radical remaking of the curriculum, or of the canon of texts that we traditionally assign to high schoolers.) Q: Oh yes, the canon — what does Egan have to say about the canon wars? When he wrote Educated Mind in the nineties, the long-brewing canon war was approaching its inevitable apocalyptic climax. On one side of this Plain of Megiddo were the pro-canon traditionalists, arguing that we should keep assigning the texts that had been argued over for centuries. Facing them were the anti-canon reformers, arguing the standard texts over-represented the perspective of dead white men. Onto the middle of the plain rides Egan on a white horse, who bellows above the din: “I’VE GOT A BUSLOAD OF HIGH SCHOOLERS WHO WANTS TO JOIN IN, EVERYONE OKAY WITH THAT?” To do so, he says, we need to give students the arguments from both sides. So, for example, bell hooks, Edward Said, and China Achebe should be on the syllabus, as should Allan Bloom, Mortimer Adler, and Diane Ravitch. And of course they should actually read the texts cherished by both sides, too, so they can argue better. High school history How could entering the big fights help us reinvent high school history? First, we might look for dueling histories. It’s time for students to get into historiography and understand that history isn’t just what happened, it’s something we make. We might help kids read chapters from Howard Zinn’s socialist history of America alongside the corresponding chapters from Paul Johnson’s conservative history of America. How could big questions help? We want to help students see how various people have disagreed over some of the big questions of what human history is, at its most basic. We can have them compare Steven Pinker’s theory of civilization’s progress (Better Angels of our Nature) with Yuvah Noah Harari’s theory of civilization’s woes (Sapiens). We could have them compare so-and-so’s account of human history as an ever-expanding unlatching of energy sources with Robert Wright’s account of human history as unlatching more and more positive-sum games (Nonzero). What role could the lure of certainty play? To help them grow their skills at finding anomalies, we might help them work through pseudo-histories and conspiracy theories. Q: Conspiracy theories! Oh, come now, you’re playing with fire. Well, the world is on fire. Our students will spend the rest of their lives encountering terrible-but-beguiling arguments about how the world works; if we don’t prepare them for those, what have we been doing? So we should introduce arguments that the Moon landing was a hoax, that the Illuminati founded America, that aliens built the pyramids, and so on. At no point can we demean students for falling for any of these theories — the job of a teacher at this stage, Egan writes, is to support students in their reasoning even when their beliefs are offensive and stupid, gradually offering anomalies. There’s no way out of bad theories except through them. By the time students graduate, we want them to have wrestled with terrible ideas and — for a while — lost. They need to experience what it’s like to change their minds about something they felt strongly about. They need to viscerally realize, in Feynman’s famous phrase, “The first principle is that you must not fool yourself and you are the easiest person to fool.” High school natural science How could entering the big fights reinvent high school science? At present, so much of the high school science curriculum — especially “honors” classes — is oriented toward helping amass details. (The same is true of 100-level university classes, which famously “survey” the field to prepare for more advanced studies. I always thought this was stupid — of the huge lecture hall of students in my Geology 100 class, how many went on to take even a second course?) The meaty debates that propel science forward are held back. Egan complains: “The more general and speculative theories in any discipline are treated like an unconventional and disreputable relation who, even though the children find her exciting and entertaining, must be kept hidden from view, her very existence denied as long as possible”. This is a stupid approach — students with an adventurous bent are convinced that science isn’t for them. Egan proposes, simply, that we flip this, and organize high school science classes around the big debates. We shouldn’t be ashamed at how, well, adolescent this might look: “the dramatic, speculative, and contentious theories will be up-front in the early years of the [high school] curriculum”. What might those be? Egan doesn’t give a list, but we can spitball some: instead of explaining what “matter” is from the top down, a physics class could problematize “matter” by following the debates over the nature of dark matter and dark energy, and by becoming familiarized with the various interpretations of quantum mechanics
Big Mac Index

Big Mac Index is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 03, 2021 and March 03, 2021. The archive places it in contexts such as "Maybe you’ve heard of the Big Mac Index". It most often appears alongside 9-11, Argentina, Austin Allred.

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Big Mac Index
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March 03, 2021
March 03, 2021 · Original source
27: Maybe you’ve heard of the Big Mac Index, where economists use the price of a Big Mac to determine how a country’s currency is doing? And maybe you’ve heard of Goodhart’s Law, where anything that becomes a target gets manipulated? Yeah, Argentina is accused of pressuring McDonalds to underprice Big Macs to get better terms on its debt.
Big Push

Big Push is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 21, 2021 and April 21, 2021. The archive places it in contexts such as "He describes their strategy as "the Big Push" - a strong central government producing lots of (not immediately useful or profitable) industry"; ""r strategy as 'the Big Push' - a strong central government producing lots of (not immediately useful or profitable) industry"". It most often appears alongside 1820s France, 2000s Bangladesh, Africa.

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Big Push
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April 21, 2021
April 21, 2021 · Original source
Is it still possible to succeed? Allen points to South Korea, the USSR, and China as examples that it might be. He describes their strategy as "the Big Push" - a strong central government producing lots of (not immediately useful or profitable) industry, in the hopes that it will pay off later:
This is Big Push industrialization. It raises difficult problems since everything is built ahead of supply and demand. The steel mills are built before the auto factories that will use their rolled sheets. The auto plants are built before the steel they will fabricate is available, and indeed before there is effective demand for their product. Every investment depends on faith that the complementary investments will materialize. The success of the grand design requires a planning authority to coordinate the activities and ensure that they are carried out. The large economies that have broken out of poverty in the 20th century have managed to do this, although they varied considerably in their planning apparatus.
Big Tobacco

Big Tobacco is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 14, 2021 and May 14, 2021. The archive places it in contexts such as "Big Tobacco’s reputation lies in tatters because they knowingly sold a harmful product". It most often appears alongside Addiction by Design: Machine Gambling in Las Vegas, Amazon, American Gaming Association.

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Big Tobacco
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May 14, 2021
May 14, 2021 · Original source
Vice industries, like the gambling and alcohol industries, are haunted by what happened to cigarettes. In the Western world, they went from being a commonly consumed indulgence to a barely tolerated health hazard. Even worse, Big Tobacco’s reputation lies in tatters because they knowingly sold a harmful product. No one wants to be the next Big Tobacco. Everyone is trying to avoid being seen as a purveyor of harmful products. Hence the American Gaming Association’s (AGA) insistence that “the problem is not in the products they abuse, but within the individuals.”
Big3

Big3 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 18, 2023 and September 18, 2023. The archive places it in contexts such as "being an automotive engineer for several of those 'staid, evil' Big3 companies". It most often appears alongside 787, adderallposting, ADL.

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Big3
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September 18, 2023
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September 18, 2023
September 18, 2023 · Original source
Some more thoughts after sleeping on this review. It's very strange... so being an automotive engineer for several of those "staid, evil" Big3 companies, one gets a very direct view of Tesla and how they have been over the years.
bilabial trill

bilabial trill is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 19, 2024 and July 19, 2024. The archive places it in contexts such as "One such sound is the bilabial trill". It most often appears alongside Alan Turing, Amazon, Amazon jungle.

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bilabial trill
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July 19, 2024
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July 19, 2024
July 19, 2024 · Original source
One such sound is the bilabial trill, which kind of sounds like blowing a raspberry.
bilateral investment treaties

bilateral investment treaties is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 11, 2023 and September 11, 2023. The archive places it in contexts such as "most cases take place under bilateral investment treaties, or BITs". It most often appears alongside 101, ALUC, Antioch.

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September 11, 2023
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September 11, 2023
September 11, 2023 · Original source
The first thing to understand is that all investment arbitrations involve independent, one-off tribunals, whose arbitrators are appointed by the parties. For a tribunal to rule, it needs jurisdiction, typically under an investment treaty (here, the multilateral CAFTA-DR, but most cases take place under bilateral investment treaties, or BITs). These treaties basically says: "investment disputes can be arbitrated".
Bildungsoffizier

Bildungsoffizier is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 04, 2023 and August 04, 2023. The archive places it in contexts such as "as an educational officer, a Bildungsoffizier". It most often appears alongside Academy’s School of Architecture, Adolf, Adolf Hitler.

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Bildungsoffizier
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August 04, 2023
August 04, 2023 · Original source
It was his penchant for impromptu speeches that won Hitler his first break. After one of his rants had come to the attention of some officers in the army, he was “posted to a Munich regiment as an educational officer, a Bildungsoffizier, whose main task was to combat dangerous ideas—pacifism, socialism, democracy; such was the Army’s conception of its role in the democratic Republic it had sworn to serve.” In this capacity Hitler was tasked with investigating a small group called the German Workers’ Party (initialed as DAP in German). Here, Hitler found like-minded nationalists who pressured him to join their fledgling movement and boost their numbers. Although initially skeptical of “this absurd little organization,” he ultimately decided that the smallness of this party would give him the opportunity to take a large role. He became the seventh member of the committee of the German Workers’ Party.
billionaire philanthropy

billionaire philanthropy is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 09, 2023 and February 09, 2023. The archive places it in contexts such as "we’ve talked here before about billionaire philanthropy". It most often appears alongside @moritheil, ACX Prediction Contest, Adam Tooze.

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February 09, 2023
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February 09, 2023
February 09, 2023 · Original source
I bring this up because we’ve talked here before about billionaire philanthropy. People have superficial objections to it - what if the billionaires are trying to defuse anger at their business empires? What if they donate to overly political or weird speculative causes normal people don’t like? What if they exploit their employees harder to get the donation money? But whenever you whack-a-mole one of these objections, another one seems to pop up.
billionaires

billionaires is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 09, 2021 and December 09, 2021. The archive places it in contexts such as "There are 745 billionaires in America". It most often appears alongside 2017 PTAPP survey, AEI, agglomeration effect.

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billionaires
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December 09, 2021
December 09, 2021 · Original source
Here's another point of comparison. There are 745 billionaires in America, and some people think we should tax them to pay for all our stuff. As obscenely rich as billionaires are, the amount of money it takes to run a country at scale is even more obscene. If we were to "eat the rich" and forcibly expropriate 100% of billionaires' money, we would raise a one-time lump sum of about $5 trillion. That's a lot! But land rents by comparison can raise between 22-44% as much every single year, and that's at the low cap rate.
This is not an argument against taxes on billionaires, mind you (I have no problem with the rich paying their fair share). It's simply meant to show that land rents represent a lot more value than people realize, and, unlike one-time personal wealth expropriations, they recur annually. Furthermore, land, unlike capital, can't flee the country and take investment and industry with it.
Fun fact: taking all the billionaires' money yields a little less than selling off all of America's federal lands and mineral reserves (Ebeling's estimate). So whether or not you opt for the libertarian hobby horse (sell federal lands) or the leftist one (eat the rich), either could at best pay for a single year's spending on the scale of 2020's budget.
Bio-prospecting

Bio-prospecting is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 22, 2022 and September 22, 2022. The archive places it in contexts such as "all the hopes for new resources on the horizon to be the "new oil" (Salmon aquaculture, Wind & Solar Power, Bio-prospecting)". It most often appears alongside Adam Neumann, Alex Roesch, Amazon.

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Bio-prospecting
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1
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September 22, 2022
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September 22, 2022
September 22, 2022 · Original source
The thing the authors warn about in the article is that all the hopes for new resources on the horizon to be the "new oil" (Salmon aquaculture, Wind & Solar Power, Bio-prospecting) are likely to be dashed, because Norway has lost touch with its traditional solutions, and so new monopolies are likely to arise uncontested, allowing private (and often foreign) countries to siphon money out of the country.
bioconservatives

bioconservatives is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 15, 2024 and May 15, 2024. The archive places it in contexts such as "Talk of preference conservation may reassure bioconservatives that nothing worthwhile will be lost". It most often appears alongside @the_megabase, A Pan-Species Welfare State, ACX Grantees.

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bioconservatives
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1
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May 15, 2024
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May 15, 2024
May 15, 2024 · Original source
Nonetheless an exalted hedonic baseline will revolutionise our conception of life. The world of the happy is quite different from the world of the unhappy, says Wittgenstein; but the world of the superhappy will feel unimaginably different from the human, Darwinian world. Talk of preference conservation may reassure bioconservatives that nothing worthwhile will be lost in the post-Darwinian transition. Yet life based on information-sensitive gradients of superhappiness will most likely be "encephalised" in state-spaces of experience alien beyond human comprehension. Humanly comprehensible or otherwise, enriched hedonic tone can make all experience generically hypervaluable in an empirical sense - its lows surpassing today's peak experiences. Will such experience be hypervaluable in a metaphysical sense too? Is this question cognitively meaningful?
bioethics

bioethics is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 12, 2023 and April 12, 2023. The archive places it in contexts such as "bioethics derives from a religion that believes the material world is evil". It most often appears alongside AAAS, AIDS, American Academy of Arts and Sciences.

Reference entry
bioethics
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1
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1
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April 12, 2023
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April 12, 2023
April 12, 2023 · Original source
Dr. Simon Whitney, author of From Oversight To Overkill, doesn’t wish death upon IRBs. He’s a former Stanford IRB member himself, with impeccable research-ethicist credentials - MD + JD, bioethics fellowship, served on the Stanford IRB for two years. He thought he was doing good work at Stanford; he did do good work. Still, his worldview gradually started to crack:
In the late 1960s and early 1970s, Beecher’s activism, Shannon’s CRCs, and the mounting level of Tuskegee-style scandals came together in a demand for the American Academy of Arts and Sciences to create some official ethics report. Most ethicists demurred to dirty their hands with something as worldly as medicine; after some searching, they finally tapped Hans Jonas, a philosopher of Gnosticism. In retrospect, of course bioethics derives from a religion that believes the material world is evil and death is the only escape. I’m barely even joking here:
bioleninism

bioleninism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 07, 2024 and May 07, 2024. The archive places it in contexts such as "beneficiaries of civil rights law/judicial decisions (see: bioleninism)". It most often appears alongside affirmative action, Africa, African National Congress.

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bioleninism
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May 07, 2024
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May 07, 2024
May 07, 2024 · Original source
It stands to reason that it took about a generation after the original civil rights law/judicial decisions for the first effects to be felt, as new rules and most importantly new hires worked themselves through the system, gaining seniority and influence as their careers progressed. That works out to the mid-80s. The difference between PC/woke movement based on incentives created by civil rights law/judicial decisions and the heady atmosphere that led to "woke judges" in the first place is that the former is largely composed of the beneficiaries of civil rights law/judicial decisions (see: bioleninism), whereas the latter was an extremely white elite phenomenon. Some of those judges doubtless believed sincerely in the inherent equality of all human subgroups on all socially desirable characteristics (an easy extension of Christian spiritual equality), some wanted to finish the Solid South, etc. I'd love to read a good book about that.
biological anchors

biological anchors is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 23, 2022 and February 23, 2022. The archive places it in contexts such as "This can justify biological anchors as upper bounds". It most often appears alongside AGI, AI Impacts, AIXI.

Reference entry
biological anchors
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1
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February 23, 2022
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February 23, 2022
February 23, 2022 · Original source
I've been trying to review and summarize Eliezer Yudkowksy's recent dialogues on AI safety. Previously in sequence: Yudkowsky Contra Ngo On Agents. Now we’re up to Yudkowsky contra Cotra on biological anchors, but before we get there we need to figure out what Cotra's talking about and what's going on.
Play pro-level Go using 8-16 times as much computing power as AlphaGo, but only 2006 levels of technology. For reference, recall that in 2006, Hinton and Salakhutdinov were just starting to publish that, by training multiple layers of Restricted Boltzmann machines and then unrolling them into a "deep" neural network, you could get an initialization for the network weights that would avoid the problem of vanishing and exploding gradients and activations. At least so long as you didn't try to stack too many layers, like a dozen layers or something ridiculous like that. This being the point that kicked off the entire deep-learning revolution. Your model apparently suggests that we have gotten around 50 times more efficient at turning computation into intelligence since that time; so, we should be able to replicate any modern feat of deep learning performed in 2021, using techniques from before deep learning and around fifty times as much computing power. OpenPhil: No, that's totally not what our viewpoint says when you backfit it to past reality. Our model does a great job of retrodicting past reality. Eliezer: How so? OpenPhil: <Eliezer cannot predict what they will say here.> I think the argument here is that OpenPhil is accounting for normal scientific progress in algorithms, but not for paradigm shifts. Directional Error These are the two arguments Eliezer makes against OpenPhil that I find most persuasive. First, that you shouldn’t be using biological anchors at all. Second, that unpredictable paradigm shifts are more realistic than gradual algorithmic progress. These mostly add uncertainty to OpenPhil’s model, but Eliezer ends his essay making a stronger argument: he thinks OpenPhil is directionally wrong, and AI will come earlier than they think. Mostly this is the paradigm argument again. Five years from now, there could be a paradigm shift that makes AI much easier to build. It’s happened before; from GOFAI’s pre-programmed logical rules to Deep Blue’s tree searches to the sorts of Big Data methods that won the Netflix Prize to modern deep learning. Instead of just extrapolating deep learning scaling thirty years out, OpenPhil should be worried about the next big idea. Hypothetical OpenPhil retorts that this is a double-edged sword. Maybe the deep learning paradigm can’t produce AGI, and we’ll have to wait decades or centuries for someone to have the right insight. Or maybe the new paradigm you need for AGI will take more compute than deep learning, in the same way deep learning takes more compute than whatever Moravec was imagining. This is a pretty strong response, since it would have been true for every previous forecaster: remember, Moravec erred in thinking AI would come too soon, not too late. So although Eliezer is taking the cheap shot of saying OpenPhil’s estimate will be wrong just as everyone else’s was wrong before, he’s also giving himself the much harder case of arguing it might be wrong in the opposite direction as all its predecessors. Eliezer takes this objection seriously, but feels like on balance probably new paradigms will speed up AI rather than slow it down. Here he grudgingly and with suitable embarrassment does try to make an object-level semi-biological-anchors-related argument: Moravec was wrong because he ignored the training phase. And the proper anchor for the training phase is somewhere between evolution and a human childhood, where evolution represents “blind chance eventually finding good things” and human childhood represents “an intelligent cognitive engine trying to squeeze as much data out of experience as possible”. And part of what he expects paradigm shifts to do is to move from more evolutionary processes to more childhood-like processes, and that’s a net gain in efficiency. So he still thinks OpenPhil’s methods are more likely to overestimate the amount of time until AGI rather than underestimate it. What Moore’s Law Giveth, Platt’s Law Taketh Away Eliezer’s other argument is kind of a low blow: he refers to Platt’s Law Of AI Forecasting: “any AI forecast will put strong AI thirty years out from when the forecast is made.” This isn’t exact. Hans Moravec, writing in 1988, said 2010 - so 22 years. Ray Kurzweil, writing in 2001, said 2023 - another 22 years. Vernor Vinge, in a 1993 speech, said 2023, and that was exactly 30 years, but Vinge knew about Platt’s Law and might have been joking. The point is: OpenPhil wrote a report in 2020 that predicted strong AI in 2052, isn’t that kind of suspicious? I’d previously mentioned it as a plus that Ajeya got around the same year everyone else got. The forecasters on Metaculus. The experts surveyed in Grace et al. Lots of other smart experts with clever models. But what if all of these experts and models and analyses are just fudging the numbers for the same Platt’s-Law-related reasons? Hypothetical OpenPhil is BTFO: OpenPhil: That part about Charles Platt's generalization is interesting, but just because we unwittingly chose literally exactly the median that Platt predicted people would always choose in consistent error, that doesn't justify dismissing our work, right? We could have used a completely valid method of estimation which would have pointed to 2050 no matter which year it was tried in, and, by sheer coincidence, have first written that up in 2020. In fact, we try to show in the report that the same methodology, evaluated in earlier years, would also have pointed to around 2050 - Eliezer: Look, people keep trying this. It's never worked. It's never going to work. 2 years before the end of the world, there'll be another published biologically inspired estimate showing that AGI is 30 years away and it will be exactly as informative then as it is now. I'd love to know the timelines too, but you're not going to get the answer you want until right before the end of the world, and maybe not even then unless you're paying very close attention. Timing this stuff is just plain hard. Part III: Responses And Commentary Response 1: Less Wrong Comments Less Wrong is a site founded by Eliezer Yudkowsky for Eliezer Yudkowsky fans who wanted to discuss Eliezer Yudkowsky’s ideas. So, for whatever it’s worth - the comments on his essay were pretty negative. Carl Shulman, an independent researcher with links to both OpenPhil and MIRI (Eliezer’s org), writes the top-voted comment. He works from a model where there is hardware progress, software progress downstream of hardware progress, and independent (ie unrelated to algorithms) software progress, and where the first two make up most progress on the margin. Researchers generally develop new paradigms once they have enough compute available to tinker with them. Progress in AI has largely been a function of increasing compute, human software research efforts, and serial time/steps. Throwing more compute at researchers has improved performance both directly and indirectly (e.g. by enabling more experiments, refining evaluation functions in chess, training neural networks, or making algorithms that work best with large compute more attractive). Historically compute has grown by many orders of magnitude, while human labor applied to AI and supporting software by only a few. And on plausible decompositions of progress (allowing for adjustment of software to current hardware and vice versa), hardware growth accounts for more of the progress over time than human labor input growth. So if you're going to use an AI production function for tech forecasting based on inputs (which do relatively OK by the standards tech forecasting), it's best to use all of compute, labor, and time, but it makes sense for compute to have pride of place and take in more modeling effort and attention, since it's the biggest source of change (particularly when including software gains downstream of hardware technology and expenditures). […] A perfectly correlated time series of compute and labor would not let us say which had the larger marginal contribution, but we have resources to get at that, which I was referring to with 'plausible decompositions.' This includes experiments with old and new software and hardware, like the chess ones Paul recently commissioned, and studies by AI Impacts, OpenAI, and Neil Thompson. There are AI scaling experiments, and observations of the results of shocks like the end of Dennard scaling, the availability of GPGPU computing, and Besiroglu's data on the relative predictive power of computer and labor in individual papers and subfields. In different ways those tend to put hardware as driving more log improvement than software (with both contributing), particularly if we consider software innovations downstream of hardware changes. Vanessa Kosoy makes the obvious objection, which echoes a comment of Eliezer’s in the dialogue above: I'm confused how can this pass some obvious tests. For example, do you claim that alpha-beta pruning can match AlphaGo given some not-crazy advantage in compute? Do you claim that SVMs can do SOTA image classification with not-crazy advantage in compute (or with any amount of compute with the same training data)? Can Eliza-style chatbots compete with GPT3 however we scale them up? Mark Xu answers: My model is something like: For any given algorithm, e.g. SVMs, AlphaGo, alpha-beta pruning, convnets, etc., there is an "effective compute regime" where dumping more compute makes them better. If you go above this regime, you get steep diminishing marginal returns.
Therefore, one of primary impact of new algorithms is to enable performance to continue scaling with compute the same way it did when you had smaller amounts. In this model, it makes sense to think of the "contribution" of new algorithms as the factor they enable more efficient conversion of compute to performance and count the increased performance because the new algorithms can absorb more compute as primarily hardware progress. I think the studies that Carl cites above are decent evidence that the multiplicative factor of compute -> performance conversion you get from new algorithms is smaller than the historical growth in compute, so it further makes sense to claim that most progress came from compute, even though the algorithms were what "unlocked" the compute. For an example of something I consider supports this model, see the LSTM versus transformer graphs in https://arxiv.org/pdf/2001.08361.pdf I also found Vanessa’s summary of this reply helpful: Hmm... Interesting. So, this model says that algorithmic innovation is so fast that it is not much of a bottleneck: we always manage to find the best algorithm for given compute relatively quickly after this compute becomes available. Moreover, there is some smooth relation between compute and performance assuming the best algorithm for this level of compute. [EDIT: The latter part seems really suspicious though, why would this relation persist across very different algorithms?] Or at least this is true is "best algorithm" is interpreted to mean "best algorithm out of some wide class of algorithms s.t. we never or almost never managed to discover any algorithm outside of this class". This can justify biological anchors as upper bounds[1]: if biology is operating using the best algorithm then we will match its performance when we reach the same level of compute, whereas if biology is operating using a suboptimal algorithm then we will match its performance earlier. Charlie Steiner objects: Which examples are you thinking of? Modern Stockfish outperformed historical chess engines even when using the same resources, until far enough in the past that computers didn't have enough RAM to load it. I definitely agree with your original-comment points about the general informativeness of hardware, and absolutely software is adapting to fit our current hardware. But this can all be true even if advances in software can make more than 20 orders of magnitude difference in what hardware is needed for AGI, and are much less predictable than advances in hardware rather than being adaptations in lockstep with it. And Paul Christiano responds: Here are the graphs from Hippke (he or I should publish summary at some point, sorry). I wanted to compare Fritz (which won WCCC in 1995) to a modern engine to understand the effects of hardware and software performance. I think the time controls for that tournament are similar to SF STC I think. I wanted to compare to SF8 rather than one of the NNUE engines to isolate out the effect of compute at development time and just look at test-time compute. So having modern algorithms would have let you win WCCC while spending about 50x less on compute than the winner. Having modern computer hardware would have let you win WCCC spending way more than 1000x less on compute than the winner. Measured this way software progress seems to be several times less important than hardware progress despite much faster scale-up of investment in software. But instead of asking "how well does hardware/software progress help you get to 1995 performance?" you could ask "how well does hardware/software progress get you to 2015 performance?" and on that metric it looks like software progress is way more important because you basically just can't scale old algorithms up to modern performance. The relevant measure varies depending on what you are asking. But from the perspective of takeoff speeds, it seems to me like one very salient takeaway is: if one chess project had literally come back in time with 20 years of chess progress, it would have allowed them to spend 50x less on compute than the leader. Response 2: AI Impacts + Matthew Barnett AI Impacts gathered and analyzed a dataset of who predicted AI when; Matthew Barnett helpfully drew in the line corresponding to Platt’s Law (everyone always predicts AI in thirty years). Just eyeballing it, Platt’s Law looks pretty good. But Holden Karnofsky (see below) objects that our eyeballs are covertly removing outliers. Barnett agrees this is worth checking for and runs a formal OLS regression. Platt’s Law in blue, regression line in orange. He writes: I agree this trendline doesn't look great for Platt's law, and backs up your observation by predicting that Bio Anchors should be more than 30 years out. However, OLS is notoriously sensitive to outliers. If instead of using some more robust regression algorithm, we instead super arbitrarily eliminated all predictions after 2100, then we get this, which doesn't look absolutely horrible for the law. Note that the median forecast is 25 years out. I’m split on what to think here. If we consider a weaker version of Platt’s Law, “the average date at which people forecast AGI moves forward at about one year per year”, this seems truish in the big picture where we compare 1960 to today, but not obviously true after 1980. If we consider a different weaker version, “on average estimates tend to be 30 years away”, that’s true-ish under Barnett’s revised model, but not inherently damning since Barnett’s assuming there will be some such number, it turns out to be 25, and Ajeya gave the somewhat different number of 32. Is that a big enough difference to exonerate her of “using” Platt’s Law? Is that even the right way to be thinking about this question? Response 3: Real OpenPhil The hypothetical OpenPhil in Eliezer’s mind having been utterly vanquished, the real-world OpenPhil is forced to step in. OpenPhil CEO Holden Karnofsky responds to Eliezer here. There’s a lot of back and forth about whether the report includes enough caveats (answer: it sure does include a lot of caveats!) but I was most interested in the attacks on Eliezer’s two main points. First, the point that biological anchors are fatally flawed from the start and measuring FLOP/S is no better than measuring power consumption in watts. Holden: If the world were such that: We had some reasonable framework for "power usage" that didn't include gratuitously wasted power, and measured the "power used meaningfully to do computations" in some important sense;
biological neural networks

biological neural networks is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 08, 2022 and November 08, 2022. The archive places it in contexts such as "biological neural networks do ... have to deal with conduction delays". It most often appears alongside Alexander Buhl, ANNs, Bay Area House Party.

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1
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November 08, 2022
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November 08, 2022
November 08, 2022 · Original source
However, the logic here was flawed from the start, because artificial neural networks are a mathematical model simulated on a computer and the properties of the computational substrate of a simulation don't carry through into the simulation. And so ANNs indeed do not have to deal with conduction delays and synchronization issues the same way that biological neural networks do, but the reason does not have anything to do with the low-level details of silicon chips.
biologics

biologics is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 13, 2025 and October 13, 2025. The archive places it in contexts such as "Producing “biologics” - protein-based drugs like insulin or monoclonal antibodies". It most often appears alongside 2023, Aaron Silverbook, ACX Grants.

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biologics
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1
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1
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October 13, 2025
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October 13, 2025
October 13, 2025 · Original source
Alexander (Olek) Pisera, $50K, for yeast-based manufacturing. Producing “biologics” - protein-based drugs like insulin or monoclonal antibodies - is often very expensive. One technique is to genetically engineer yeast to secrete the protein you want, but the yeast doesn’t always cooperate, and yields can be low. Alexander is building a platform that automates the evolution of output-increasing genes, eventually resulting in strains better optimized for this sort of production. If this works, it could help poor countries do their own biologics manufacturing, bypassing expensive middlemen and tricky logistics.
Biology 101

Biology 101 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 16, 2023 and June 16, 2023. The archive places it in contexts such as "even dumb Reason that fails Biology 101". It most often appears alongside Aeschylus, Aevar, Althing.

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Biology 101
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1
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June 16, 2023
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June 16, 2023
June 16, 2023 · Original source
Like the trial in Njal’s Saga, everyone immediately agrees the suspect committed the crime and digresses into insane moon arguments. Orestes believes mothers aren’t really parents, because they just sort of incubate the embryo, who is made entirely from the father’s genes7. Athena (???) thinks men are better than women, so your father’s right to be avenged takes precedence over your mother’s right not to die. But the arguments aren’t the point. The point is that Law and Reason - even dumb Reason that fails Biology 101 - gets precedence over Ghost Curse Logic. Everyone cheers. The Furies rebrand as patron goddesses of Athens. Some combination of Athena and the Chorus announce that they have founded Civilization and everyone should be Civilized from now on. The end.
biology of happiness

biology of happiness is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 15, 2024 and May 15, 2024. The archive places it in contexts such as "a transition from the biology of happiness to a biology of superhappiness". It most often appears alongside @the_megabase, A Pan-Species Welfare State, ACX Grantees.

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biology of happiness
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1
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1
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May 15, 2024
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May 15, 2024
May 15, 2024 · Original source
The hypothetical shift to life lived entirely above Sidgwick's "hedonic zero" will mark a momentous evolutionary transition. What lies beyond? There is no reason to believe that hedonic ascent will halt in the wake of the world's last aversive experience in our forward light-cone. Admittedly, the self-intimating urgency of eradicating suffering is lacking in any further hedonic transitions, i.e. a transition from the biology of happiness to a biology of superhappiness; and then beyond. Yet why "lock in" mediocrity if intelligent life can lock in sublimity instead?
biology of superhappiness

biology of superhappiness is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 15, 2024 and May 15, 2024. The archive places it in contexts such as "a transition from the biology of happiness to a biology of superhappiness". It most often appears alongside @the_megabase, A Pan-Species Welfare State, ACX Grantees.

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1
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1
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May 15, 2024
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May 15, 2024
May 15, 2024 · Original source
The hypothetical shift to life lived entirely above Sidgwick's "hedonic zero" will mark a momentous evolutionary transition. What lies beyond? There is no reason to believe that hedonic ascent will halt in the wake of the world's last aversive experience in our forward light-cone. Admittedly, the self-intimating urgency of eradicating suffering is lacking in any further hedonic transitions, i.e. a transition from the biology of happiness to a biology of superhappiness; and then beyond. Yet why "lock in" mediocrity if intelligent life can lock in sublimity instead?
Biology PhD student

Biology PhD student is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 25, 2021 and October 25, 2021. The archive places it in contexts such as "You become a Biology PhD student, you spend ten years learning about fungal ribosomes". It most often appears alongside Adrian Hon, Albert Einstein, Alternate reality games.

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Biology PhD student
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1
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1
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October 25, 2021
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October 25, 2021
October 25, 2021 · Original source
This is sort of true. But it needs to acknowledge that even being included in existing systems of knowledge production isn't that great. You become a Biology PhD student, you spend ten years learning about fungal ribosomes, and probably there's still some guy in China who knows more than you and beats you to the one interesting thing about fungal ribosomes left to figure out, plus nobody cares about fungal ribosomes anyway. Meanwhile, the QAnon devotee has discovered five earth-shattering facts about the Lizard Papacy in the last two hours, including previously-unrecognized links to the Kennedys, World War I, and ancient Lemuria.
biomass burning aerosol

biomass burning aerosol is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2023 and December 01, 2023. The archive places it in contexts such as "an increased anomaly in biomass burning aerosol over the North Atlantic". It most often appears alongside Abraham Davenport, AI Policy Institute, Arizona.

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1
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1
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December 01, 2023
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December 01, 2023
December 01, 2023 · Original source
CAMS scientists found a significant negative anomaly in Saharan dust aerosol transport over the tropical Atlantic Ocean, and an increased anomaly in biomass burning aerosol over the North Atlantic, coming from the massive Canadian wildfires. These aerosol anomalies are much bigger than the sulphate change from shipping emission reductions. This makes the estimation of the impact of reduced sulphate aerosol emissions on the sea surface temperatures very challenging.
biosecurity

biosecurity is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 18, 2022 and July 18, 2022. The archive places it in contexts such as "urgent opportunities in AI alignment, biosecurity". It most often appears alongside ACX, AI Alignment, Cassander.

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biosecurity
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1
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1
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July 18, 2022
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July 18, 2022
July 18, 2022 · Original source
4: Thanks to everyone who applied last week to Spencer Greenberg’s grants round. It is closing soon, and I won’t be doing another ACX Grants for at least a few months, but if any of you want to pursue urgent opportunities in AI alignment, biosecurity, or similar fields before then, and find that some 4-5 digit amount of money would help, please send me an email at scott@slatestarcodex.com and I will try to connect you to relevant funders.
biostatistician

biostatistician is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 13, 2021 and June 13, 2021. The archive places it in contexts such as "looking for a biostatistician". It most often appears alongside Astralcodexten, Bay Area, Bruno Macaes.

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biostatistician
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1
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1
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June 13, 2021
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June 13, 2021
June 13, 2021 · Original source
5: My father, a professor of medicine working at a VA hospital, is trying to do a study and looking for a biostatistician. He can't pay you unless he gets a grant, which he probably won't, but you could get your name on a potentially pretty interesting paper. Interested candidates should know how to mine data from Vinci/Dart, and preferably have some existing relationship with the VA that can save them a painful and potentially impossible onboarding process. If interested, email me at scott@slatestarcodex.com and I'll give him your name.
biotechnology

biotechnology is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 28, 2024 and June 28, 2024. The archive places it in contexts such as "While Scully believes biotechnology can be a force for good, he thinks genetic engineering and the making of chimeras tilts us into the realm of playing God". It most often appears alongside 2023 special, ACX grant winners, African Gray Parrot.

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biotechnology
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1
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1
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June 28, 2024
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June 28, 2024
June 28, 2024 · Original source
For example, Scully is no fan of xenotransplantation, the process of transplanting animal organs into human bodies. He puts it firmly in the speculative, high-risk, and disturbing category of animal research. While Scully believes biotechnology can be a force for good, he thinks genetic engineering and the making of chimeras tilts us into the realm of playing God. He heeds the words of Pope John Paul II: “Resist the temptation of productivity and profit that work to the detriment of respect for nature.”
bird flu epidemic

bird flu epidemic is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 17, 2024 and September 17, 2024. The archive places it in contexts such as "the bird flu epidemic ($141,000)". It most often appears alongside AI, Area 51, bird flu epidemic.

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bird flu epidemic
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1
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1
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September 17, 2024
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September 17, 2024
  • 24 September 17, 2024
September 17, 2024 · Original source
Some of this is no doubt due to the hard work of Shayne and his team improving the site. But let’s be honest. It’s mostly because people really want to bet money on Trump/Harris 2024. The presidential market has a total volume of $910 million, far above eg markets about the Superbowl ($50 million), the World Series ($5 million), and the bird flu epidemic ($141,000).
Birdwatch

Birdwatch is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 18, 2023 and September 18, 2023. The archive places it in contexts such as "He did change its name from Birdwatch". It most often appears alongside 787, adderallposting, ADL.

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Birdwatch
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1
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1
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September 18, 2023
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September 18, 2023
September 18, 2023 · Original source
Community Notes existed before Musk and I don’t think he’s improved it in any meaningful way. He did change its name from Birdwatch . . . It was in beta when he bought it. Or it had just been rolled out or was in the process of being rolled out.
Birgi God of Storytelling

Birgi God of Storytelling is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 01, 2024 and November 01, 2024. The archive places it in contexts such as "a simple 19-card combination of Birgi God of Storytelling". It most often appears alongside /r/BadMTGCombos, @cremieuxrecuel, @justin_garson.

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1
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1
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November 01, 2024
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November 01, 2024
November 01, 2024 · Original source
Here the black line indicates that the average European of 6000 BC would have had genetic IQ 65 (compared to modern 100), but the regression line indicates more like IQ 90 - I don’t know why the researchers chose to interpret the trend as necessarily constant and linear, or whether we should follow. There isn’t enough ancient DNA to fully test whether the same happened in other populations yet, although a preliminary small-sample test on Asians suggests it happened there too (not really, see here). If the selection for IQ was a response of agriculture, we’d expect to see higher genetic IQ in populations that got agriculture earlier. But it could also be a response to sentience itself creating new selection pressures that continued to act as recently as historical time (some evidence suggests this is true of schizophrenia), which might make populations more similar. 7: Joseph Heath on Marxism vs. John Rawls. I appreciated this because everyone knows we’re supposed say that John Rawls is among the most important philosophers of all time blah blah blah but nobody had ever explained why to me (veil of ignorance seems neither very original nor very good). Heath’s answer: Marxism dominated the academy for decades, but eventually became philosophically unsustainable. This wasn’t because of the generic “Communism doesn’t work” objections that moved ordinary people. It was because Marx’s ethical critique of capitalism was based on exploitation, according to a technical definition of “exploit” that only made sense according to Marx’s labor theory of value. But the supply-and-demand theory of value quickly supplanted the labor theory, the exploitation argument doesn’t really work within supply-and-demand, and so Marxist philosophers were left without a clear ethical critique. John Rawls, by coming up with the part of the underpinning for the modern inequality-based-critique of society, let all the Marxist academics switch to being liberals while continuing to dislike capitalists. 8: /r/BadMTGCombos: a simple 19-card combination of Leyline of Anticipation, Leyline of Transformation, Mirror Room, Darksteel Citadel, Sanctum Weaver, Freed From The Real, Abuelo's Awakening, Myrkul Lord of Bones, Zimone All Questioning, Birgi God of Storytelling, Siege Zombie, Desecration Elemental, Mirror Gallery, Clock of Omens, Parallel Lives, Life and Limb, Isochron Scepter, Narset's Reversal, and Molten Reflection can be used to deal infinite damage if and only if the Twin Prime Conjecture is true. 9: During the most recent Berkeley ACX meetup, we somehow ended up discussing how often people feed living mice to snakes. The answer seems to be that there’s a debate about it in the snake community, the smartest and most experienced voices are against it, but it still happens a lot. Here’s an EA Forum post on the feeder rodent industry and efforts to make it more humane. 10: King Frederick William I of Prussia decided to have a regiment of giants in his army and scoured Europe for extremely tall people, including poaching them from other countries’ armies and forcing them to enlist against their will. He ended up with 3,000 soldiers, ranging from 6’2 - 7’6, but “many of the men were unfit for combat due to their gigantism”. So why did he do it? He liked to paint their portraits from memory. He tried to show them to foreign visitors and dignitaries to impress them. At times he would try to cheer himself up by ordering them to march before him, even if he was in his sickbed. This procession, which included the entire regiment, was led by their mascot, a bear. He once confided to the French ambassador that "The most beautiful girl or woman in the world would be a matter of indifference to me, but tall soldiers—they are my weakness" The King dreamed of a eugenics program to create even taller soldiers. He got as far as pairing up some of his tall soldiers up with tall women and birthing a few tall babies before he died; his successor had no interest and let everybody go home. 11: Before modern IP law, you could write a sequel to someone else’s book and they couldn’t stop you. Among the most successful examples is American “astronomer and writer” Garrett Serviss’ Edison’s Conquest Of Mars, a sequel to War Of The Worlds in which a vengeful human race, led by Thomas Edison, invent spaceships and attack Mars in retaliation for the first book’s Martian invasion. "The book contains some notable 'firsts' in science fiction: alien abductions, spacesuits, aliens building the Pyramids, space battles, oxygen pills, asteroid mining and disintegrator rays", and was credited as an inspiration by Robert Goddard and HP Lovecraft. 12: Joe Biden, singularitarian? (click for link to video) 13: Gwern on the chip embargo: It is pretty damning. We're told the chip embargo has failed, and smugglers have been running rampant for years, and China is about to jump light years beyond the West and enslave us with AXiI (if you will) . . . And then an expert casually remarks that all of China put together, smuggling chips since 2022, has fewer H100s than Elon Musk orders for his datacenter while playing Elden Ring. And even with that huge bottleneck and 1.4 billion people, there's so little demand for them that they cost less per hour than in the West, where AI is redhot and we can't get enough H100s in datacenters. (And where the serious AI people are now discussing how to put that many into a single datacenter for a single run before the next scaleup with B200s obsoletes those...) 14: A company called Cosm has raised $250 million to build “immersive sports experiences”, ie giant buildings sort of like a cross between a stadium and a movie theater where people can get together and watch high-quality televised sports games in a “realistic” setting; they already have facilities in Dallas and Los Angeles. 15: Cremieux: The Ottoman Origins Of Modernity. The “Ottoman” bit is a distractor; the Ottomans fought the Catholics long enough for the Protestants to get a foothold, and then the Protestants established modernity. A useful pushback against the pushback that the Catholic Church never persecuted scientists or held back progress. I’m most interested in this post in the context of Cremieux saying he wrote it in two hours. Even I can’t work that fast! 16: The Green Party, a US third party, tried to put their candidate Jill Stein on the ballot in November. The Nevada election office sent them the wrong forms and gave them false advice about the process. The Greens filed the wrong forms, the Democrats sued, and the Supreme Court disqualified Stein, calling the election office’s incorrect advice an “unfortunate mistake”. I’m disappointed in this outcome - partly for the obvious reasons, but also because the incorrect forms they submitted technically should have added a state referendum to the ballot containing only the text “Jill Stein”. If they’re going to disqualify her candidacy, then I think they should at least hold the state referendum! 17: Nostalgebraist: Google has a new tool out that will create an AI podcast for any text; you hand it the text (could be a blog post, article, or work of fiction), and the tool generates a podcast of two AI hosts discussing it. You can find podcast discussions of Nostalgebraist’s fiction (Northern Caves and Almost Nowhere) at the link, but the acknowledged peak of the genre is Podcast Hosts Discover They’re AI, Not Human, And Spiral Into Existential Meltdown. 18: Also Nostalgebraist: The Case For Chain Of Thought Unfaithfulness Is Overstated. New AIs like o1 give “chain of thought”, ie display what they’re thinking after each step. This seems like a promising avenue to solve alignment - just see whether they’re thinking “and now I will plot against humans”. Unfortunately it’s not so easy; the chain of thought isn’t always accurate (you can sometimes catch the AI “hiding” thoughts it doesn’t want its human overseers to know, like when it’s using a racial stereotype). This article argues that these examples aren’t as exciting as they sound, and chain-of-thought accurately reflects reasoning for most tasks. 19: Australian government considers making doxxing a crime punishable by up to seven years in jail. 20: Getting your brain cryogenically frozen after your death is now free. 21: Cube Flipper: Hypercomputation without bothering the cactus people. The visual system must solve difficult math problems when translating the 2D visual field into a 3D world. Can we harness this innate mathematical ability to do arbitrary work? Cognitive scientist Mark Changizi developed a series of visual circuits (eg XOR gates) based on Necker cubes, probably easier seen than described: After surveying the field, Cube Flipper proposes a more advanced visual computer based on taking DMT and viewing certain types of tiles with slight deviations: …and makes the extreme claim that something like this might demonstrate hypercomputation, ie the visual system has semi-magic computational properties beyond those permitted by normal physical laws. I am skeptical but appreciate the survey of visual computing (as well as the callback to one of my older posts). 22: Material implication in Mormonism: In the book Doctrines and Covenants, Joseph Smith reports that God told him that if he lived to be 85, he would see the Second Coming (which would place it in 1890 - 1891). Mormon apologists note that Joseph Smith did not live to be 85, so no conclusion can be drawn. 23: More old-timey psychiatric ads (this one is from 1952, source: @justin_garson): This was before they invented what we would call antidepressants today; Dexedrine is an amphetamine related to Adderall. 24: Congratulations to Open Philanthropy, the biggest effective altruist foundation… …whose grantee David Baker recently won a Nobel Prize for his research on synthetic proteins. Potential applications include new drugs, vaccines, and materials. 25: Rich Kid Memes And The Online Culture Of The One Percent. Rich people who want to signal group membership to other rich people online can’t boast about how rich they are; that would be gauche. Instead, they’ve settled on the solution of making fun of rich people in hyperspecific language that proves familiarity with the culture. 26: Tap Water Sommelier: Vladimir Putin has two sons, ages 5 and 9. They are kept in luxurious but total isolation from the outside world and raised by flunkies who are too scared to punish/restrain them in any way. Also some discussion of an unexpected historical analogue. 27: Experiment from Colombia: replacing experienced teachers with less-experience but higher-scoring-on-tests teachers significantly decreased student performance. Got to admit I was expecting the opposite of this, I’d seen US data saying that experience didn’t matter and teacher intelligence did. Looking over this more, I find lots of studies on both sides and will go back to agnosticism on this question until someone I trust investigates further. 28: Large scale-formal Intellectual Turing Test finds that people can imitate partisans effectively; ie nobody on either side can tell the difference between a Democrat arguing for Democrat values vs. a Republican-pretending-to-be-a-Democrat arguing for Democrat values (and vice versa). This study used a 100 word essay on why you supported your party (you can see if you can do better here), but past attempts with different structures (religion, vegetarianism, polyamory) have shown broadly the same results. The researchers try to put this in the context of various studies showing that people do misunderstand their opponents (eg think they’re more extreme, underestimate the level of common ground), but it seems like intellectual Turing Tests aren’t a good way to measure or tease out this misunderstanding. 29: Congratulations to Substacker WoolyAI for doing the impossible and providing a genuinely novel and interesting (to me) take on pickup artistry: 30: Did you know: if you Google “cool websites”, our subreddit (r/slatestarcodex) is the first result. 31: Moshe Koppel, who works at the intersection of computer science and Talmud, is writing a series of posts (presumably) based off of my Every Bay Area House Party, titled Jerusalem Area House Party (it’s multiple part, you have to go to the main Substack page to find the others). I won’t necessarily link everyone who riffs off one of my posts - but honestly I probably will if you also have a Wikipedia page that describes you as working on computational Talmudology. 32: David Roman says it’s a myth that Arabic scholars rescued and preserved the works of the great classical authors. 33: Medications often decrease “secondary endpoints” (eg stroke, heart attack), but the holy grail of pharma studies is proving that a certain drug decreases all-cause mortality. This is much harder (not all heart attacks kill people, and people die from lots of other things), but is the strongest possible endorsement for the drug (without it, you might worry that it only prevented non-fatal heart attacks, or that it killed as many people through side effects as it saves through heart attack prevention). Even great medications that we’re confident in can’t always clear this bar. But a new JAMA article adds another member to this select club: Adderall decreases all-cause mortality in ADHD, probably because it prevents drug addiction, car accidents, and impulsive actions. 34: Before the Gulf War got in the way, Saddam Hussein was building some crazy mosques: 35: Italy bans surrogacy - quite strictly, too, Italians aren’t even allowed to go abroad and do it. I am so sorry for all the Italians who will never get to be mothers and fathers because their government hates progress. You might hope that, whatever the other disadvantages of anti-immigrant parties, at least they’re incentivized to let natives have children, but looks like they can’t even get that one right. Starting to wonder whether the trains even run on time. 36: Elsewhere in “Italy sucks” news - did you know Italy’s tax code effectively bans startups? Companies are taxed before making any money, based on how many assets they have. If they have lots of assets but aren’t making money (eg because they’re still doing research / in stealth) then tax officials get confused and hostile and run increasingly punitive audits. Related: size of the European tech sector. It’s the red line on this chart; if you can’t see a red line at your screen resolution, then you’ve learned something important about the the EU tech sector. 37: Seen on @cremieuxrecuel’s twitter (preliminary, needs replication): Jews may have gone from 65-29 Democrat/Republican in 2020 to 58-40 this election. 38: Extelligence has a post responding to my critique of the cultural Christianity argument (among, uh, many other things), but I don’t really think it connects. I’m not telling atheists they can’t go to church/synagogue if it makes them feel happy and fulfilled - I’ve done this myself sometimes. My post was meant to argue against the claim that, for pragmatic reasons, atheists should support the Christianization of society as a defense against Islam or postmodernism or some other philosophical enemy. 39: Related: Extelligence is finally going for their Trust Assembly project/idea/startup for online consensus-based truth-seeking (I think something like a cross between Community Notes and Wikipedia, but as a browser extension, and for everything). He’s looking for potential developers/testers/users. 40: Jiankui He is the Chinese geneticist who made history with the first germline gene editing in humans (resulting in three babies supposedly immune to AIDS, although nobody has tested this). China sentenced him to three years in prison for unauthorized experimentation, but now he’s out of jail, has an English-language Twitter account, has a new lab, wants to work on Alzheimers, and seems pretty based (although not infinitely based): 41: Anthropic has a new version of their AI Claude which can use your computer. You give it permission, put it on a virtual desktop, and ask it to do things for you (eg “please find and download a picture of a cat” or “please research these ten things and put them in a text file”.) It moves your cursor, browses the Internet, and creates and saves files. People keep saying they’ll care about AI “when it operates autonomously” or “when it becomes an agent”. But this is a trivial barrier, and one which Computer Use Claude has arguably already passed. So far this feature is limited to developers (though anyone with computer knowledge can sign up for it) but I expect it to be the near future of consumer AI, to get better quickly, and to shade gradually into the “autonomous” “agentic” AI that you all think will require a paradigm shift. 42: Claim (from the IDF): Hamas faked polls showing that most Palestinians supported the October 7 attack; the real numbers are 31% in favor, 64% against. 43: Otto von Bismarck wanted to trick France into declaring war on Germany. In order to provoke the French, he sent the Ems Dispatch, a statement describing recent diplomatic events in a way that sounded maximally offensive. The French were so offended that “crowds” in Paris demanded war, and the Franco-Prussian War was declared soon afterwards. The part of this that I find most interesting is the text of the dispatch itself, which read: After the news of the renunciation of the Prince von Hohenzollern had been communicated to the Imperial French government by the Royal Spanish government, the French Ambassador in Ems made a further demand on His Majesty the King that he should authorize him to telegraph to Paris that His Majesty the King undertook for all time never again to give his assent should the Hohenzollerns once more take up their candidature. His Majesty the King thereupon refused to receive the Ambassador again and had the latter informed by the Adjutant of the day that His Majesty had no further communication to make to the Ambassador. I’m fascinated by the idea that only 150 years ago, it was obvious that if someone sent you this statement, you had to declare war or abandon all honor. If I read it carefully, I can sort of parse out that it sounds like the Prussians are unhappy, but that’s the most emotion I gather from it. Anyway, the Franco-Prussian War led to World War I which led to World War II - so if you don’t like 50 million people dying and the total devastation of Europe, blame this statement about ambassadors. 44: The first use of artificial insemination in humans: The first recorded case of artificial insemination by donor didn’t occur until 1884, when Dr. William Pancoast decided to treat a couple’s infertility by secretly inseminating the woman with sperm obtained from a medical student. The insemination happened while the patient was under anesthesia and Dr. Pancoast did not tell her what had occurred. She gave birth to a baby boy nine months later, but it was several years before the doctor finally confessed to her husband what he had done. Neither man ever informed the mother. It was 25 years later the result of this case was published. Dr. Pancoast was roundly condemned for his actions, but it did open the door for consensual sperm donor insemination. 45: ClearerThinking administers several personality tests to the same people to learn more about their comparative accuracy. I am most interested in their finding that tests with “factors” (eg the Big Five, where you rate people on a numeric scale) are inherently more accurate than those with “types” (eg Myers-Briggs, where you assign someone a specific category) and that, adjusting for this, Big Five is no more predictive than the Enneagram: 46: In 2022, I wrote Whither Tartaria, where I asked why ornate classical styles switched to more austere modernist styles around 1900 - 1950 in a variety of different arts (painting, architecture, literature, poetry, etc). I proposed seven theories, but was unsure which if any were true. Since then, Samuel Hughes of Works In Progress has been investigating. In May, he wrote a well-researched article showing that it wasn’t just increasing cost, because ornate classical architecture now costs less than ever. Now in a new article he demolishes a different theory - it’s not just decreasing cost (and subsequent lack of ability to signal wealth) - because costs didn’t decrease in several other arts, and the change was led by artists with rich people as reluctant followers. He concludes: Modernism may well be a status game of some kind; it may well signal taste more than it signals wealth; and this latter feature may be one of the things that distinguishes it from older artistic styles. But the mechanism by which this change came about must be different to the one Alexander describes. 47: Sort of kind of related - When Hamilton Lost Its Snob Appeal. The musical Hamilton was briefly an artistic/cultural phenomenon, but tastemakers eventually switched to making fun of it. Why? Rob Henderson says it happened after ticket prices came down and the common people could enjoy it. I disagree: everyone I knew who was into Hamilton got into it from the free online soundtrack long before they’d seen the show; I think this is more likely the usual fad cycle where anybody who’s too into yesterday’s fad is behind the curve and therefore uncool. 48: Related: Why are people such jerks to public intellectuals? And more. I agree this is a great mystery. 49: Some prominent Substack psychiatrists doing a video Q&A, submit your questions here. 50: Naomi Kanakia: The Literacy Delusion had a number of explanations for why reading books seemed to be so much worse for human beings (in terms of emotional wellness and productivity) than other forms of narrative entertainment, but its main theory was the integration hypothesis. That the stream of words in a book trained the human brain into a habit of self-consciousness, that reading books forced human beings to think of themselves as a stream of text, processed through time, making a coherent argument of some sort. And that this overall flattening effect forced readers to ignore aspects of their personality or their situation that were not otherwise in line with the overarching story they'd created about themselves. Basically, reading books causes repression and neurosis. The Literacy Delusion argued that, yes, human beings are storytelling machines, but that a stream of written text is a particular kind of story—a story that is particularly flat, particularly devoid of conflicting or harmonizing information—and that this flatness creates a peculiar effect on the human brain. 51: Last month, I linked Sasha Gusev’s No, Intelligence Is Not Like Height and asked people who disagreed to share their arguments; they sure did. First, several people pointed me to a new preprint, Family-GWAS Reveals Effects Of Environment And Mating On Genetic Associations, which finds that one of the main papers Gusev cited to make his case, Howe 2022, made a mistake - imputing sibling genotypes using a process designed for non-sibling genotypes - and that once that mistake is corrected, the finding disappears and intelligence and height appear similar. Second, Joseph Bronski has a more specific post where he responds to Gusev’s points one by one. He accuses Gusev of “[making] up his own chart to remove the error bars [from the originals], to obscure the fact that the study found no evidence for this in IQ”, and says that the cases where he didn’t do that are just “population stratification and range restriction”. Third, Noah Carl at Aporia, instead of writing a direct response like Bronski, argues that the usual method of attacking twin studies is obsolete; not only have the most-debated assumptions behind twin studies been thoroughly validated, but there are now other lines of evidence besides twin studies which confirm high IQ heritability. Fourth, Leonardo Parro (not framed as a response to Gusev) goes into more depth about one of those ways, a “pedigree-based analysis” demonstrating heritability of 54 - 69%, ie no “missing heritability” compared to twin studies. He summarizes this as the effect of “rare variants” compared to the usual SNPs - ie if you only look at the most common genes that are easiest to find, you get “missing heritability” compared to twin studies, but if you widen your search to rare genes that are hard to find, you don’t. 52: Extremely related: Heliospect is a startup promising polygenic selection for IQ and other traits; they were trying to stay in stealth mode but The Guardian spied on them and nonconsensually revealed their existence. The discussion on the r/ssc subreddit centered on their claim that (given enough embryos to choose from) they could increase a baby’s expected IQ by 6 points (I’ve also heard 7.5). Sasha Gusev had previously argued that current technology maxed out at 3.5 and future technology would max out at 6, so a claim of 6 - 7.5 is pretty extreme; Gwern, who wrote the pioneering analysis of this technology, was also skeptical. But Heliospect says they’ve got better predictors than academia that use the rare variants everyone else misses; after talking to the company, Gwern retracted his objections and says he finds their claim “pretty plausible”. Local ACX commenter geneticist Gene Smith also redid some calculations, changed his mind, and says “probably pretty realistic”. I find this interesting not just because of the polygenic selection angle, but because if Heliospect is right then their predictor is able to predict more genetic IQ than the “missing heritability” people believe exists, and it should be able to put this argument to bed once and for all. 53: This month in censorship: X/Twitter banned journalist Ken Klippenstein for sharing the Trump campaign’s dossier on JD Vance. Twitter’s side of the story is that the dossier was probably originally stolen by Iranian agents and they don’t want to support that kind of thing by letting people signal-boost the illicitly obtained goods; you can read Klippenstein’s side here. He appears to be unbanned now.
birth canal asphyxia

birth canal asphyxia is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2024 and February 01, 2024. The archive places it in contexts such as "We know many apparent risk factors for schizophrenia: birth canal asphyxia". It most often appears alongside Awais Aftab, cannabis, cannabis use.

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birth canal asphyxia
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February 01, 2024
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February 01, 2024
February 01, 2024 · Original source
This is possible, but I think it’s false. We know many apparent risk factors for schizophrenia: cannabis use, birth canal asphyxia, social defeat, toxoplasma infection, poor prenatal nutrition. If you try to combine these into one big picture, it doesn’t work.
birth order effects

birth order effects is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 20, 2024 and December 20, 2024. The archive places it in contexts such as "birth order effects". It most often appears alongside anti-vax polls, autism, Internet addiction.

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birth order effects
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December 20, 2024
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December 20, 2024
December 20, 2024 · Original source
Each year, I post a reader survey. This helps me learn who’s reading this blog. But it also helps me try to replicate psych findings and investigate interesting hypotheses. Some highlights from past years include birth order effects, mathematical interests vs. corn-eating style, sexual harassment victimization rates in different fields, whether all our kids are going to have autism, wisdom of inner crowds, failed replication of anti-vax polls, and Internet addiction.
biscornu

biscornu is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 27, 2023 and November 27, 2023. The archive places it in contexts such as "the shape of the biscornu (a “stuffed ornamental pincushion”)". It most often appears alongside An Introduction To Circuits, Anthropic, Anthropic interpretability team.

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biscornu
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November 27, 2023
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November 27, 2023
November 27, 2023 · Original source
. . . which Wikipedia says is best known for being the shape of the biscornu (a “stuffed ornamental pincushion”) and One World Trade Center in New York:
bisexuality

bisexuality is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 11, 2023 and May 11, 2023. The archive places it in contexts such as "Many people commented that bisexuality is a vague concept with unclear boundaries". It most often appears alongside 15th Commandment, ACX, ADHD.

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bisexuality
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May 11, 2023
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May 11, 2023
May 11, 2023 · Original source
Original post: Replication Attempt - Bisexuality And Long COVID
Many people commented that bisexuality is a vague concept with unclear boundaries, and Long COVID is also a vague concept with unclear boundaries. Maybe some people are more willing to self-identify as belonging to a vague concept with unclear boundaries, and so they would be more likely to respond that they had bisexuality and Long COVID. For example, if you have a few stray thoughts about the same sex sometimes, are you bisexual? If you might have felt very slightly more fatigued after getting coronavirus, do you have Long COVID? Maybe the same people who say yes to the first question will say yes to the second.
If this were true, the bisexuality effect would be stronger for milder cases of Long COVID, since mild cases are the ones where people are on the border between identifying it or not. But the effect was equally strong for mild and severe cases.
bisexuals

bisexuals is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 11, 2023 and May 11, 2023. The archive places it in contexts such as "genuinely weird people as bisexuals". It most often appears alongside 15th Commandment, ACX, ADHD.

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bisexuals
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May 11, 2023
May 11, 2023 · Original source
Another common concern was whether bisexuality might be associated with biological differences, such that it could correlate with organic/immunological Long COVID rather than psychosomatic Long COVID. Many people gave examples of bisexuals having larger or smaller brain regions, but 1) I’m skeptical of these kinds of neuroimaging studies, and 2) brain regions still seem like the sort of thing that cause functional neurological conditions and not immunological ones.
Nobody in the comments got this far, but I was eventually able to find a study showing that bisexuals had more cancer, asthma, and heart disease than straight (or gay) people. One popular explanation is that bisexuals have more mental health issues → smoke and drink more → have more disease. This study breaking down cancer by type finds excess smoking-related cancers and equal amounts of most others. Other sources suggest bisexuals are more likely to be overweight, although the effect is small. So one possibility is that smoking, obesity, or some other risk factor like this either makes people more likely to get COVID, or more likely to get Long COVID conditional on that.
My survey didn’t show that bisexuals reported getting COVID more than straights. Bisexual women were on average one BMI point heavier, which doesn’t seem like much. And this is just anecdotal because I didn’t have it on the survey, but very few ACX readers seem to smoke.
bisphosphonates

bisphosphonates is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 31, 2023 and May 31, 2023. The archive places it in contexts such as "Some of our favorite medications, including ... bisphosphonates". It most often appears alongside anticholinergics, benzodiazepines, Danish team.

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bisphosphonates
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May 31, 2023
May 31, 2023 · Original source
Some of our favorite medications, including statins, anticholinergics, and bisphosphonates, don’t reach the 0.50 level. And many more, including triptans, benzodiazepines (!), and Ritalin (!!) don’t reach 0.875.
Bitcoiners

Bitcoiners is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 09, 2022 and December 09, 2022. The archive places it in contexts such as "Will Bitcoiners be the new aristocracy?". It most often appears alongside 417th Marquess of Cornwallshireshire, ACX, ACX.

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Bitcoiners
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December 09, 2022
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December 09, 2022
December 09, 2022 · Original source
Will Bitcoiners be the new aristocracy? (79 replies)
black bile

black bile is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2021 and April 09, 2021. The archive places it in contexts such as "The Human body contains blood, phlegm, yellow bile and black bile". It most often appears alongside 1913 Nobel Prize in Physiology or Medicine, Alexandria, Aristotelian.

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black bile
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April 09, 2021
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April 09, 2021
April 09, 2021 · Original source
The Human body contains blood, phlegm, yellow bile and black bile. These are the things that make up its constitution and cause its pains and health. Health is primarily that state in which these constituent substances are in the correct proportion to each other, both in strength and quantity, and are well mixed. Pain occurs when one of the substances presents either a deficiency or an excess, or is separated in the body and not mixed with others.
Black Box

Black Box is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 06, 2025 and November 06, 2025. The archive places it in contexts such as "Here’s another of her descriptions of the Black Box as she understands it". It most often appears alongside Abbott, Antichrist, Black Box Of Doom.

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Black Box
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November 06, 2025
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November 06, 2025
November 06, 2025 · Original source
In Jason Pargin’s I’m Starting To Worry About This Black Box Of Doom, a manic pixie dream girl cajoles a shut-in incel loser to drive her and her mysterious box cross-country. The further they drive, the more evidence starts to build that she is a terrorist and her box is a nuke. As our protagonist becomes increasingly desperate to turn around and return to his comfortable world of social media feeds and psych meds, she pleads with him to come out of his shell, learn to trust people offline, and have a sense of adventure. The book’s dramatic tension comes from our simultaneously rooting for his character development and worrying that it might be a ruse to manipulate him into blowing up Washington, DC.
This book is not shy about its moral, delivered in approximately one soliloquy per state by our author mouthpiece character (the girl). Although there is a literal black box of doom - the suspected nuke - the real danger is the metaphorical “black box” of Internet algorithms, which make us waste our lives “doom” scrolling instead of connecting to other human beings. Or the “black box” of fear that the algorithms trap us in, where we feel like the world is “doomed” and there’s nothing we can do. She urges us to break out of our boxes and feel optimism about the state of society. Quote below, Ether is the girl, Abbott is the loser, and he’s just ventured the opinion that it’s unethical to have children in a world as doomed and dystopian as ours:
“I’m talking about how your entire life span has been spent in a literal reverse apocalypse. I’m talking about billions of people who lived in what you would consider post-collapse conditions have had those conditions remedied, gaining roofs and lights and safety. A human’s chances of dying from famine or natural disasters are as low as they’ve ever been, ever, in the history of the species. It’s been nothing short of a worldwide miracle that makes everything Jesus supposedly did in the Bible look like party tricks. And people like you and me and others in our demographic describe that state of affairs as the world being ‘on fire.’ I think that’s a bizarre mass delusion and that there’s a very specific reason for it: we’ve been trained to cling to a miserable view of the world to the point that we think that not seeing the world as miserable makes us bad people. When I spent those months doing hallucinogens, I didn’t suddenly see the beauty and harmony of nature; I saw that humans everywhere were working really hard to make life better for other humans and that almost none of us appreciate it. I’m not crediting this miracle to capitalism or socialism or any other kind of ism but to the fact that it’s what humans do, because humans are amazing. And it’s all invisible to us because the progress occurs behind these dark walls of cynicism, outside the black box of doom.”
Black Hat

Black Hat is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 26, 2024 and July 26, 2024. The archive places it in contexts such as "If there are White Hat and Black Hat partitions of the military". It most often appears alongside 1600 Pennsylvania Avenue, 2020 election, 2024 book review contest.

Reference entry
Black Hat
Mention count
1
Issue count
1
First seen
July 26, 2024
Last seen
July 26, 2024
July 26, 2024 · Original source
When Baxter reported on the arrest of former Obama adviser David Axelrod, only to publish no follow-up, he had a ready explanation a year later: Axelrod had been executed without trial by being thrown out of an airplane, and it took months for Baxter to learn the truth. I’ll admit, I find Baxter’s efforts to maintain narrative integrity incredibly charming, given how they clash with the latent absurdity of the whole endeavor. Like most fictional universes, the Real Raw Newsiverse crumbles if you think about it too hard. If there are White Hat and Black Hat partitions of the military, how does military procurement work? How do newly-enlisted personnel know which faction they are joining? Do the two factions have separate recruiters? And when literally everyone carries a basic video camera in their pocket, and social media access is universal, how are major battles being fought on American soil with zero video evidence anywhere? At the meta level, the entire construct gets even sillier. The conceit of the site is that Trump has secretly left power to entrap his foes…yet then his allies go and blab the entire “real” story to an online blog. The cover for this is that the masses simply don’t believe it, but you know who would definitely know whether the blog is accurate? The Deep State! Yet despite this, in RRN lore sinister actors from Andrew Cuomo to Oprah are always caught off guard when Delta Force7 smashes down their door and zip-ties their hands for a one-way trip to Cuba. Okay, But So What? You might be tempted to think this is all irrelevant rambling into the void. But if you think that, you’re mistaken. The thing is, Real Raw News is popular. Really popular. It got more than 2 million page visits in January. It’s a lot more popular than this blog and even outdraws some established publications like The Nation. “Okay, views are views, but does anyone really believe this?” you may ask, perhaps derisively. Well, it falls to me to say that yes, yes they do. The typical RRN article gets hundreds upon hundreds of comments. And sure, a lot of them are “My mother is being paid $2,000/day working from home” spam, but most of them are not. Hundreds upon hundreds of comments are from readers grateful to Baxter for sharing the “truth.” Even more unsettling are comments from people who spot a problem with the occasional story, but still trust Baxter overall. Baxter has a donation page on Christian crowdfunding site GiveSendGo. It has raised more than $210,000 and donations continue to pour in on a daily basis. Sure, some donation messages clearly indicate people who are in on the joke…but many more do not. But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
Black Hats

Black Hats is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 26, 2024 and July 26, 2024. The archive places it in contexts such as "“Black Hats” loyal to Biden". It most often appears alongside 1600 Pennsylvania Avenue, 2020 election, 2024 book review contest.

Reference entry
Black Hats
Mention count
1
Issue count
1
First seen
July 26, 2024
Last seen
July 26, 2024
July 26, 2024 · Original source
But I don’t just need to guess based on comments and donation messages. In this realm, I can appeal to personal experience. I work in the broader world of American right-of-center politics, and we encounter Real Raw News believers constantly. We get emails from people who confidently insist the public-facing news of the day is fake, and the truth about the events at Gitmo will soon be revealed. At public Q&A events, we’ve fielded questions from genuinely nervous and worried people, who complain about their friends losing hope and being blackpilled by the news, and want to know why there hasn’t been more effort to share what’s “really” going on. A friend of mine who served in the Trump administration has described attending parties where, when he mentioned looking for a post-admin job, he received knowing looks and wink-wink-nudge-nudge remarks from people signaling they knew what was “really” going on. Somehow and someway, a lot of people believe or half-believe or badly want to believe this stuff. And where a lot of people do anything, there are takeaways to be found! In my three-plus years of reading all news that is both real and raw, here is what I’ve found. Conspiracies Evolve Like Comic Book Lore In his review of the Alexander Romance, Scott remarked that figures like Alexander the Great or Hercules were, essentially, the pre-modern versions of Batman: Stories about them are a genre, with countless different variations and stylistic choices that evolve over time, with just a few set principles guiding all of them. The Real Raw Newsiverse, and other modern conspiracy theories, also function like comic book lore. Just like Batman, and just like Hercules, “Donald Trump” has become a genre. Fake news stories about him and his Deep State enemies have a few core premises (adrenochrome, pedophile cabals, there is a Plan and we should Trust It) but endless room for variation past that point. Fans of comic books, soap operas, or The Simpsons might be familiar with something TVTropes calls “comic book time.” Certain facets of a fictional reality are locked in place, and with the passage of time everything else is gradually retconned to maintain the status quo. In season 2 of the Simpsons, Homer and Marge started dating in 1974, in Season 3 Marge becomes pregnant with Bart in 1980 (after a date watching The Empire Strikes Back), and in season 4 it’s revealed that Homer missed the Moon Landing to listen to “Yummy, Yummy, Yummy.” Tragically, though, The Simpsons kept going past season 10, and if Homer was 18 in 1974 that would make him eligible for a full Social Security benefit today. So in 2008, the continuity changed so that Homer was in a Nineties grunge band just before marrying Marge8. The Simpsons writers have avoided rejiggering the canon since, but if they do, they’ll have to confront the fact that 30-something Homer and Marge are now millennials, and in a decade they’ll be members of Gen Z. You may live to see a Simpsons flashback episode about Homer and Marge living as hipsters in Brooklyn during the 2010s (truly, we live in cursed times.) But the same phenomenon exists in the world of conspiracies. Instead of a consistent, elaborate canon, what we have is a few story beats with a lot of customization and the occasional retcon. When Baxter first began posting his stories, a core part of the narrative was that Donald Trump still secretly had all the powers of the presidency and was still in command of the entire U.S. military command. Early articles promised that Trump’s apparent loss of office was only a temporary ruse, necessary to expose the worst elements of the Deep State, but that Trump’s triumphal return to power would take place by July 4, 2021. The national media might have put on a song and dance suggesting otherwise, but behind the scenes, loyal military forces were the real ones in control. This control even extended to the military helpfully house-sitting the White House and not letting Biden use it. Despite his illegitimate victory, Biden met an unwelcome surprise when he arrived at the White House on January 20. Instead of getting a ceremonial greeting, he and Kamala Harris were stopped by National Guard and U.S. Marines at the barbwire fence encircling the White House. The Marines informed them that the military had assumed control of the Executive Branch and instructed them to vacate the area. When Harris belligerently said, “Move aside, we’re president now,” the Marines locked the gate. […] To avoid shame and maintain an illusion of power, Biden’s people concocted a ruse, supported by his media allies, to deceive the American public into believing he had won a fair election and had moved into the White House on schedule. Inside Actor/Producer Tyler Perry’s 300-acre Atlanta estate sits a three-story stucco replica of the commander-in-chief’s residence, which he originally built as a set piece for a television show. […] Although the replicant White House is built to 80% scale, on television and in images it’s indistinguishable from 1600 Pennsylvania Avenue. Biden and Harris have been using the facsimile to feign leadership and impose despotic rule on the nation. Of course, July 4 came and went, with Trump’s return nowhere to be seen, so the canon simply updated: In the new narrative, the military had been conducting a year-long election fraud audit on Trump’s behalf, the results were nearly ready for public release, and Trump’s return would simply be “swift.” But no swift return has transpired, and so as the 2024 election has approached, the lore has evolved in the direction of Trump authentically running in this election and simply reclaiming power by winning it. As time has passed, more subtle changes have had to pile up. Early on, RRN reported that Joe Biden was a brain dead semi-corpse being held at Walter Reed, and any public appearances by “Biden” were one of several actors. But after four years of Let’s Go Brandon, Biden himself has become a more popular villain, and so quietly references to his brain-dead status have disappeared. In the early days of RRN, the military was firmly behind Trump and any implication that Biden held the powers of commander-in-chief was a media-fueled sham. But as time has passed, Trump being the “real” commander-in-chief over a loyal military has evolved into a reality where there are two American militaries, a “White Hat” faction loyal to Trump and “Black Hats” loyal to Biden. Early stories implied the White Hats were more numerous, but recent stories have implied the opposite, with the White Hats an elite force that often wins battles decisively while badly outnumbered. A secret purge has gradually become a secret civil war, specifically one with frequent war crimes: White Hat forces in Maui have eradicated or repelled all but a handful of the felonious FEMA agents who began terrorizing the tropical paradise in the aftermath of the inexplicable blaze that razed Lahaina and surrounding towns in early August, a source in General Eric M. Smith’s office told Real Raw News. Since mid-August, United States Marines have fought with FEMA patrols in Lahaina, Kaanapali, Wailuku, Maalaea, and Pukalani, and the skirmishes resulted in the deaths of approximately 475 federal goons and, alas, 34 valiant Marines. The Marines died upholding the Constitution of the United States; the feds died trying to defend the criminal Biden regime. […] “The Marines died valorously,” our source said. “We ain’t taking FEMA prisoners from the rank and file, only the key players. General Smith made it clear it’s weapons-free. Those bastards know damn well they’re following unlawful orders, and they’ll pay the price.” I think the ever-evolving nature of conspiracies is actually pretty important to psychologically grasping their appeal. I have a friend who is a big believer in 9/11 Trutherism. He once compelled me to watch the documentary “The New Pearl Harbor,” an exhausting 5-hour film promoting 9/11 conspiracies. If one actually watches, one quickly discovers that a lot of 9/11 conspiracy theories are mutually exclusive, or at least don’t mesh well together: One conspiracy argues that fighter jets were intentionally diverted the wrong direction to keep them from shooting down the hijacked jets approaching New York, while another conspiracy suggests that United 93 was shot down, and it was all covered up. In some versions, the planes didn’t hit the Twin Towers at all. Sometimes Bush did it, and sometimes Israel did it, and so on. Similarly, in my career I’ve worked adjacent to people who, like RRN, were very hostile to Covid-19 shots. That hostility made them sequentially endorse wildly different assertions about how the vaccines worked. Sometimes, the vaccines contain heavy metals. Sometimes, they contain hydra DNA to turn recipients into partially non-human chimeras. Sometimes, the vaccines are a depopulation agent. Sometimes, they’re a mind-control agent, or a killswitch that can be activated by self-assembling nanomachinery. One viral documentary in 2022 claimed that Covid was caused by snake venom in the water supply, and that Covid vaccines were an additional dose of snake venom to keep people sick (all this, of course, because the snake is Satan’s animal). What stands out isn’t the silliness of these particular theories, but that I saw them sequentially endorsed by the same people. Some of these people are smart enough to notice inconsistencies, at least when they’re pointed out, so why don’t they bother them? To some extent, I think it’s for the same reason people don’t care that every Batman story doesn’t perfectly line up. Consistency isn’t the point! What actually matters is enjoying individual stories and the wider genre they fit into. Covid vaccine haters don’t think too hard about any specific story. Instead, they’re driven by a core impulse of “distrust the new vaccine that people I distrust are promoting,” and every conceivably story or tale that feeds that genre of thought is, for them, worthwhile. Similarly, Real Raw News fans don’t think too hard about any specific story. Instead, I think their core impulse is, ironically, profound disappointment in how the Trump administration failed to deliver. Trump shook up the American political landscape more than anyone in living memory, and promised sweeping changes to every level of American government, yet his actual administration proved rather disorderly, changed far less than was promised, and then lost power after one term. For many, this simply prompted a revision in how they saw Trump. But for others, the preferred response is to embrace a fantasy reality where Trump is a superhero. I actually think the reverse side of this explains things like the durability of Russiagate: If you’re a normal American liberal, everything Trump says is offensive and piggish, but to justify their level of disdain for them, many needed to elevate his evil to the level of treason, even if that never really made any sense. It can't just be that Trump is an egotistical jerk or a narcissist or whatever. He's got to be a traitor who's going to end American democracy. People Crave Extreme, Over-the-Top, and Underhanded Solutions. At the height of the French Revolution’s Reign of Terror, the Committee of Public Safety pushed through the Law of 22 Prairial. The law simplified the procedures of the country’s Revolutionary Tribunal by: Defining a whole heap of activities as criminal treason, including “creating scarcity,” disparaging the National Convention, “inspiring discouragement,” and spreading fake news.
Black Plague

Black Plague is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 23, 2022 and June 23, 2022. The archive places it in contexts such as "le claim the Black Plague killed a lot of Europeans". It most often appears alongside 1978, 2016 essay, A Resounding Success Or Disastrous Failure: Re-examining The Interpretation Of Evidence On The Portuguese Decriminalisation Of Illicit Drugs.

Reference entry
Black Plague
Mention count
1
Issue count
1
First seen
June 23, 2022
Last seen
June 23, 2022
June 23, 2022 · Original source
They say “opiate”, but AFAICT these numbers are actually about all drugs. But the proponents link to the updated 2020 version of the same website, which all of a sudden does have data from 2001 and before. I don’t know why EMCDDA can’t make up its mind, but I think the Australians are wrong and the original graph is fine. On the other hand, does it really matter? Both of these show drug deaths decreasing until 2005, then going up and down a bit, then going back up again starting in 2011. I think a reasonable interpretation would be that decriminalization in Portugal did decrease overdose deaths a bit, and then they started rising again from that low baseline around the same time other European countries saw rising overdose deaths. I would also accept “these are pretty small effects and we shouldn’t ascribe any significance to them”. But San Fransicko’s claim - that overdose deaths increased after the reform - seems false. The only way I can see justifying it is taking the second graph - the one that wrongly claims there is no pre-2002 data - and then attributing the fact that twelve years after the reform lowered deaths, deaths finally rose above the pre-reform level to be the fault of the reform. This is like saying “people claim the Black Plague killed a lot of Europeans, but the European population actually rose after the Plague”, which is true in the sense that it was above its pre-Plague max by like 1600 or whatever. What about overall drug use? Here I recommend A Resounding Success Or Disastrous Failure: Re-examining The Interpretation Of Evidence On The Portuguese Decriminalisation Of Illicit Drugs, which is on exactly this topic of how people keep selectively quoting results from Portugal to prove their point. It argues that drug use is inherently hard to measure. There are four different Portuguese datasets for the time at issue, lots of different drugs, lots of different age/gender combinations, and lots of different ways of measuring drugs (did you use drugs in the past month? the past year? your lifetime?) It’s easy to tell a story of how past-month cocaine use skyrocketed among 14-29 year old males according to X source, or how lifetime marijuana use fell in high school-age women according to Y. The main trick that opponents use is measuring lifetime drug use. Portugal is a very conservative country; drug use is pretty new and most of the older generation wasn’t involved. So as time goes on and more and more people try drugs but “un-trying” drugs isn’t a thing, the percent of the population who have tried drugs inevitably goes up. This definitely happened but isn’t a fair reflection of any specific reform. The authors find that in the past decade or so, there has been a bit more short-term experimentation with drugs, but less long-run use. They conclude: As shown in Figure 2, general population (aged 15–64) trends for recent and current drug use in Portugal indicate minimal if any changes between 2001 and 2007. Instead, rates of discontinuation of drug use (the proportion of the population that reported ever having used a drug but opting not to in recent years) increased, which reinforces that just as in the school populations, the growth in lifetime-reported use reflected predominantly short-term experimental use. Increases in recent and current drug use were more notable in some cohorts, particularly those aged 25 to 34 (albeit, with a maximum of 7% of any one cohort reporting recent use, absolute levels remained low). But as shown in Figure 3, recent and current drug use declined among those aged 15–24, the population who were most at risk of initiation and long-term engagement. The available evidence thus gives grounds for arguing that while there was some growth in the scale of drug use in post-reform Portugal, there was an overall positive net benefit for the Portuguese community. What about San Fransicko’s main point - that as the US has wound down the War on Drugs, drug overdose rates have sextupled? I think this is mostly not causal. I think the sextupling of overdoses is a combination of expansion in prescription opioid use, various forms of social decay making people less happy and therefore more likely to use drugs, and “improvements” in drug “technology” and the “supply chain” (eg production of fentanyl in China). I don’t know of any source that attempts to tease out the exact contribution of all of these things, but I would note that overdose deaths have risen the most in very conservative Midwestern states that haven’t walked back the drug war as much as California. Conclusion: As usual, I appreciate San Fransicko’s corrections to the prevailing narrative, but its own additions are dubious. Its claim that Portugal saw increased drug-related deaths seems false as far as I can tell. Its claim that it saw increased drug use depends on your definition, but is misleading and not the most natural way to sum up the evidence. Claim 6: San Francisco’s Soft-On-Crime Policies Led To Rising Crime Ten years ago, the news was full of stories about how some teenager stole a gumdrop and was sentenced to nine hundred billion years in jail. At some point, there was a genre shift to stories about how some hardened criminal murdered fifty people with an axe and the judge let him go with a warning because having jails felt racist. Source: Ed West, do note that this example is from the UK How suspicious should we be of each type of story? There will always be an extreme right tail of overly harsh sentences, and an extreme left tail of overly lenient ones. Were the 2000s really as draconian as they felt? Is the modern era really as pathetic? Or is it all just a function of who you read and what agenda they’re pushing? Shellenberger: During California governor Jerry Brown’s time in office, voters passed several reforms aimed at reducing the size of the prison population. In 2012, voters passed a change to the Three Strikes law so that the third strike imposes a life sentence only if the new felony was serious or violent. In addition to lowering punishments for drug possession, Proposition 47, which voters passed in 2014, redefined shoplifting, forgery, petty theft, and receiving stolen property as misdemeanors when the value in question does not exceed $950. In 2016, voters approved a proposition that shortened the time it took for some nonviolent offenders to be eligible for parole and which released nonviolent offenders into drug treatment and rehabilitation. Property crimes rose in San Francisco starting in 2012. Larceny, which is shoplifting and other petty theft, rose 50 percent, from roughly 3,000 incidents per 100,000 people in 2011 to about 4,500 in 2019. Property crimes as a whole, which include larceny, motor vehicle theft, and burglary, rose from 4,000 incidents per 100,000 people in 2011 to 5,500 in 2019. One study suggests that Proposition 47 increased the rate of auto theft 17 percent and the rate of larceny (non-auto property) theft 9 percent, but discerning between causation and correlation may not be possible. Upon taking office in January 2020, [famously soft-on-crime San Francisco district attorney Chesa] Boudin followed through on his campaign promises. Instead of prosecuting and incarcerating people for breaking car windows to steal money and other items from inside, Boudin proposed creating a $1.5 million fund to reimburse car owners. But there were over 25,000 car break-ins reported in 2019. If every break-in cost just $250 in repairs, the fund would need four times that amount. And what would prevent people from falsely claiming to have been robbed in order to get city money? […] Boudin opposed efforts by the mayor and the city attorney to prevent drug dealers who had already been arrested from entering the Tenderloin. “Until the city is serious about treating addiction and the root causes of drug use and selling,” said Boudin in a statement, “these recycled, punishment-focused approaches are unlikely to succeed at doing anything more than making headlines.” Home burglaries rose in early 2021 in San Francisco. Homeowners started posting on Twitter videos from their security cameras of people breaking into homes and garages. “When I first moved here we had a car break-in problem,” said Michael Solana, a writer who works for a venture capital fund. “Now we have a home invasion problem. These things are wearing on people.” Boudin attributed the rise of burglaries in San Francisco to the decline of tourism and “people in desperate economic circumstances.” Progressive supervisor Hillary Ronen agreed. “We know that [economic insecurity and inequality] is one of the root causes of property crimes specifically,” she said. But Tom Wolf and others argued that the robberies were, like the shoplifting, done by people seeking money to buy drugs and feed their addictions. “The drugstores have been shoplifted to death and that’s all because of drug use,” said Tom. “I know. I used to do the same thing when I was out there. That’s what you do. You ‘boost.’ And then you go and you sell your stuff down at UN Plaza,” an open-air drug scene. In a May 2021 city supervisors’ meeting, a representative from CVS called San Francisco “the epicenter of organized retail crime in the country” and claimed that 85 percent of the shoplifting is committed by organized theft rings. Police broke up one such ring in October 2020 and recovered $8 million of stolen merchandise. The problem goes beyond property crime. Boudin declined to prosecute two men who went on to kill people. One man had been repeatedly arrested for stealing cars, despite having just been released from prison earlier in the year, and appeared to be abusing meth. On New Year’s Eve, 2020, the man killed two people while driving intoxicated. Police found inside of his car a semiautomatic handgun and twenty-three grams of methamphetamine. On February 4, another intoxicated driver killed a pedestrian in a stolen car. The San Francisco police had arrested him in October 2020 for possessing a stolen car, a tool for stealing cars, and what appeared to be meth. Boudin chose not to pursue charges. In December, the California Highway Patrol arrested the man again for driving a stolen vehicle under the influence. Again he was not prosecuted. The accident victim, an immigrant from Kenya, and his wife had moved to San Francisco two weeks before the fatal crash. “I blame the DA,” said the widow of the victim. The suspect, she said, “was someone who was out in the public who shouldn’t have been in the public. It was completely avoidable.” Tom said he could feel the difference on the streets. “Drug dealing is unabated and it’s not one guy, it’s fifty guys dealing fentanyl and meth,” he said. “And it’s going unabated because the district attorney says, ‘These are the nonviolent, quality-of-life crimes,’ and ‘I’m not going to prosecute them.’” [..] District Attorney Boudin was offering weaker sentences than even defense attorneys were requesting, according to Vicki Westbrook of San Francisco. “There’s a defense attorney who said, ‘It used to be that I would argue for this deal in court with the DA but now I don’t say anything because the DA is going to offer me a deal better than what I would have suggested. Somebody shot up the street with an automatic weapon. The first offer was six months in jail or time served plus two years of probation or something. And then [the DA] said, “How about thirty days in jail?”’” Vicki laughed. “You really can do anything in San Francisco,” she said. “If you do get arrested, chances are you’re going to be out of jail in less than thirty days for damn near everything except maybe killing somebody and maybe even then, too. It’s hard to say at this point.” Taking each of these points individually: Proposition 47 There are two good big studies on the effects of Prop 47, one by Public Policy Institute and one by some UCI criminologists. The PPI study finds that the proposition increased theft and car break-ins by about 10%. The UCI study finds the same, but notes that under different assumptions the effects wouldn’t quite obtain statistical significance. This seems a bit too much like post hoc trying to get rid of an inconvenient effect, plus an effect on the border of statistical significance is different from positively finding no effect. I think a reasonable interpretation is that theft and car break-ins rose about 10% because of the proposition, just as Shellenberger says. Some pro-47 sites note that most states have some limit on how much you to have to shoplift before it’s a felony, and Prop 47 brought California closer to the national average, rather than turning it into an outlier. Chesa Boudin Chesa Boudin took office two months before the COVID pandemic began. Any attempt to separate the effect of Chesa Boudin from the effect of the pandemic is doomed. Shoplifting definitely plummeted when Boudin took office, but that’s because all the stores were closed. Murders definitely rose a little after Boudin took office, but that’s because that was also when the Black Lives Matter protests happened, which demoralized police and led to a so-far-permanent spike in murders nationwide. Percent of criminals caught definitely fell when Boudin took office, but that’s because various aspects of the justice system were closed for COVID (I will grudgingly entertain speculation that a further decrease in arrest rates from 2020 to 2021 may have been a genuine Boudin effect). In the absence of any real way to judge his performance, I think San Fransicko’s points about Boudin are plausible, though speculative. Shoplifting This one is terrible. There’s a surprisingly spirited debate here (some of you may have already read Applied Divinity Studies’ article). The debate is: everyone on the ground in San Francisco - store owners, security guards, customers, random citizens - say that shoplifting has increased massively over the past decade. But statistics mostly say it hasn’t. Source here. This is shoplifting crimes per 100,000 people. Kern County is a deep red county in California (including Bakersfield) that is known for being tough on crime. Against this, seriously, everyone says that shoplifting has obviously increased. I had a patient who worked in shoplifting prevention, he told me - his psychiatrist! Who he had no reason to lie to! - that he was constantly stressed dealing with the shoplifting surge devastating the stores he covered. Here’s the San Francisco subreddit’s response to someone posting the data showing shoplifting hasn’t risen - it’s just a lot of people laughing hysterically. What’s going on? I was able to find a different set of statistics that does seem to show a longer-term increase in shoplifting (source): The very big spike at the end might be a change in reporting by one or two stores - you can find the argument here. But it does look like shoplifting went from about 125 incidents/month in the early 2010s to more like 250/month just before the pandemic. Why is this graph so different from the other one? It looks like the top one came from the Department of Justice, and the bottom one came from SFPD. I’m not sure why these report differently. When you multiply out by 800K people in SF, by 12 months/year, and 30ish days/month, the first graph corresponds to 4 shoplifting incidents per day, and the second to 6. As LouB’s analysis here points out, that seems suspiciously low for a city of 800,000 people where stores are constantly closing because of shoplifting. Maybe off by a factor of a few hundred from what we’d expect. LouB writes: The SFPD report only references shoplifting offenses that required SFPD officers to prepare an incident report. That means either the shoplifter fought security, committed additional crimes, or stole more than $950 worth of items. It’s not that SFPD’s report is erroneous, it’s just not a representative statistic. In a parallel statistic, SFPD only completes incident reports for traffic accidents when there is an injury. Therefore, thousands of noninjury accidents are handled civilly without SFPD reports the same way thousands of shoplifting offenses are handled without reports. An insurance company would not determine premium rates based solely on SFPD incident reports, nor should readers interpret SFPD shoplifting reports as anywhere near the total picture of the shoplifting epidemic in San Francisco. (this would also explain why one or two stores changing their reporting policy can produce a spike equal to everyone else in San Francisco combined) But comparing incident reports from 2010 to incident reports from 2020 should still be apples-to-apples, unless the likelihood of reporting any given incident changed in the meantime. Did it? This news article quotes a San Franciscan who says that when they try to report shoplifting incidents, the cops tell them not to because “it doesn’t make a difference”. If cops say that now more often than they used to, it would make all these statistics meaningless. (Applied Divinity Studies claims to have an argument that shows this can’t be true. It goes something like: if San Francisco was a better place to shoplift than its neighbors - eg Oakland - then shoplifters would leave Oakland to go to San Francisco, and we would see Oakland shoplifting rates falling. Oakland shoplifting rates are falling, but no more so than the rest of the state, so there can’t be increased tolerance for shoplifting in San Francisco. I find this dubious for many reasons. First of all, many of the same reasons shoplifting is up in San Francisco - like Prop 47 or soft-on-crime progressive policies - also apply to Oakland. Second, given that shoplifting fell massively everywhere because of the pandemic, it feels dubious to try to compare different cities; maybe one city had stricter pandemic lockdowns than others. Third, do criminals really shop around for friendly jurisdictions? If so, why are so many crimes like car break-ins, concentrated in “the bad part of town”? Why wouldn’t criminals leave the bad part of town for under-exploited areas with richer residents and less competition? Maybe criminals in fact aren’t very strategic or mobile? Maybe they don’t want to stand in the BART station and then take a half-hour train ride holding a bag of stolen goods?) Maybe a better argument against this being true is how stable the shoplifting rates have been over time. Wouldn’t it be weird if (let’s say) a tripling of the real shoplifting rates was matched by a third-ing of the reporting rates (rather than a halving or a quartering or whatever)? On the other hand, here’s Shellenberger with some helpful data: Some of this is probably because of Proposition 47, which made some forms of shoplifting punishable with citation rather than arrest (but wouldn’t that be a clear discontinuity rather than a gradual trend?) But overall it sure seems like shoplifting is being taken less seriously, which might encourage people to report less. Another statistic I see is that only 2.3% of shoplifting cases result in an arrest; I don’t know how this is different from the graph above with numbers in the 30s; maybe it involves different levels of what makes something a “case”. I accept that the data don’t consistently show a spike in shoplifting. But what’s the alternative? My patient who works in loss prevention in SF stores is lying to me? The nice elderly Chinese man who sold me my last pair of glasses and chatted to me about the rampant shoplifting in his mall was lying? The San Francisco police are lying? Walgreens pretends to be concerned about shoplifting as part of a dastardly plot to close a bunch of stores for no reason? Target and CVS pretend to care about shoplifting as part of a plot to restrict their stores’ opening hours for no reason? Every big store near me has suddenly gotten a security guard at the front as part of some corporate-sponsored jobs program? Maybe the conservative narrative that soft-on-crime San Francisco must be experiencing rising crime rates took on a life of its own. Maybe it infiltrated not just the usual suspects like the SF police unions, but even such supposedly-liberal bastions as the New York Times. Maybe lots of big corporations took advantage of the fake narrative to make unpopular business decisions they were planning on making anyway. And maybe ordinary San Franciscans, confronted with everyone telling them they were in a shoplifting epidemic, started paying more attention to security guards and petty criminals who had always been there, a sort of mass hallucination that gripped everyone in the city. I can’t rule this out. Americans thought crime was rising all throughout the early 2000s, when it was in fact way down. Or maybe some statistics that we already know are off by several orders of magnitude got off by an additional factor of two or so. I think this one is more likely, but I’m genuinely not sure. Other Crime From the Economist: The Center on Juvenile And Criminal Justice puts it even more starkly, arguing that “San Francisco’s ‘Crime Wave’ Is Just One Crime”: This are potentially susceptible to the same reporting bias as shoplifting. So what about homicide? Homicide is practically always reported and investigated, making it a gold standard in crime measurement. (source) Looks pretty good until 2019. I don’t expect to gain useful information post-2020; the pandemic and the post-George-Floyd murder surge will make it impossible to evaluate for local variation. What about compared to other places? For some reason this top 20 table fails to list Washington DC, which should be just before Atlanta. SF doesn’t make the top 20, although its neighbor Oakland does. Probably most murder variation in US cities is explained by percent African-American and maybe percent Borderer; with relatively few people in these groups SF was never in the running. I’m not sure if some abstracted version of the city with all demographic factors adjusted away would have an unusually high murder rate, but at that point it would be pretty distant from any interesting real-world question. You can see the leaderboard for other types of crime here; San Francisco is often in the top ten, but never the top three. As far as I can tell, San Francisco has seen a big spike in car breakins over the past few years, with no clear trend for other property crime, violent crime, or homicides. It’s not an outlier among American cities in any kind of crime. Conclusion of this section: San Fransicko’s specific claims are basically correct, but suggest a medium-term rise in SF crime which is mostly contradicted by the data. These show stable-to-decreasing murder, stable-to-decreasing violent and property crimes other than car break-ins, and large rises in car break-ins only. The data also show stable-to-decreasing shoplifting, but I’m not sure how much to trust them vs. common sense. Honestly, I’m pretty confused here and not sure what to think. Claim 7: Jim Jones (Of Kool-Aid Cult Fame) Used To Be The Chairman Of SF’s Housing Authority Okay, this isn’t really a statistical claim that I can research different perspectives on. Still, it’s so wacky that I couldn’t resist mentioning it in this review. Jim Jones, famous for killing everyone in his Guyana-based Jonestown cult with poisoned Kool-Aid, used to be the SF government’s top guy on homelessness. Shellenberger writes: Jones married and moved first to Northern California and then to San Francisco with his wife to start a church. He called it the People’s Temple. Jones believed he was the leader of a socialist revolution. He warned of nuclear war and claimed black people would be put in concentration camps. He became a hugely charismatic preacher among African Americans, the disaffiliated poor, and young transplants to the city looking for community. Scenes from the era show a remarkably large and diverse congregation smiling and singing. The People’s Temple grew and provided services. Jones cultivated two progressive San Francisco politicians, George Moscone and Willie Brown, and mobilized people to volunteer for their campaigns […] His son and a San Francisco historian believe he stole the mayoral election for Moscone in 1975. Historian David Talbot, founder of the progressive website Salon, points to evidence that Jones committed sufficient voter fraud to account for Moscone’s narrow 4,443-vote margin of victory. “We loaded up all thirteen of our buses with maybe seventy people on each bus, and we had those buses rolling nonstop up and down the coast into San Francisco the day before the election,” said Jones Jr. “Could we have been the force that tipped the election to Moscone? Absolutely! Slam dunk. He only won by four thousand votes.” When federal investigators looked into fraud claims three years later, they discovered that all of the records were missing from the city of San Francisco’s registrar of voters. Jones also boasted of providing Moscone with black women from his congregation for sex. One time Moscone, drunk and “accompanied by a young black woman whom the politician had kindly agreed to drive home,” crashed into another car. Another time, Moscone and Willie Brown “were with a black woman in an alley at two in the morning at some restaurant in North Beach,” said a local bar owner. State legislator “John Burton was part of that gang too. They were all using marijuana and cocaine.” Said Jones Jr., Moscone would “always be there at temple parties with a cocktail in his hand and doing some ass grabbing.” A Temple member overheard Jones speaking to Moscone the day after one of those parties saying, “I want to let you know that the young lady you went off with is underage,” adding, “Now don’t worry, Mayor, we’ll take care of you—because we know that you’ll take care of us.” Afterward, Moscone made Jones the chairman of the powerful San Francisco Housing Commission. Jones cultivated progressives with money and favors. He made large donations to the ACLU, the NAACP, and United Farm Workers. Jones and Moscone met privately with vice presidential candidate Walter Mondale on a campaign plane a few days before the 1976 presidential election, and Mondale praised People’s Temple shortly afterward. Jones met with First Lady Rosalynn Carter several times. Governor Jerry Brown praised Jones. Glide Memorial Church’s Rev. Cecil Williams loved Jones. There is a photo from 1977 of a smiling Williams awarding Jones the church’s “Martin Luther King, Jr. Award.” Jones used his perch as chairman of the Housing Commission to fight for housing for the poor. He tried to use eminent domain to acquire the International Hotel, a single resident occupancy hotel. After a court sided with the hotel’s owner, Jones mobilized seven thousand protesters to picket it. By mid-January 1977, the situation had become heated. There were rumors that protesters inside the building were armed with guns and Molotov cocktails. Jones lost the legal battle in 1977, and the tenants were evicted. But the drama was a publicity victory for Jones, which burnished his image as a white savior. A conservative member of the Board of Supervisors who was defeated in the mayoral election by Moscone accused the new mayor, the San Francisco Chronicle, and the rest of the city establishment of being blind to Jones’s extremism. “There’s no radical plot in San Francisco,” insisted Moscone, in response. “There’s no one I’ve appointed to any city position whom I regard as radical or extremist.” Willie Brown, a powerful state legislator from 1964 to 1995 before becoming mayor in 1996, “seemed oblivious to Jones’ hucksterism and demagoguery,” notes a historian. Brown was master of ceremonies at a dinner for Jones in the fall of 1976 attended by an adulatory crowd of the rich and powerful, including Governor Jerry Brown. “Let me present to you a combination of Martin King, Angela Davis, Albert Einstein . . . Chairman Mao,” he said, to loud applause. And yet Jones was contemptuous of Brown even as Brown did Jones more and more favors. Jones mocked Brown for his designer suits, sports cars, and women. Once, while Brown was addressing the congregation and Jones was seated onstage behind him, Jones flipped his middle finger up to mock him. San Francisco’s establishment stood by Jones even after a California magazine, New West, owned by Rupert Murdoch, published an exposé of Jones’s beatings of Temple members and financial abuses in August 1977. The article was written by a San Francisco Chronicle reporter and was meant for the Chronicle to publish. But the newspaper killed the story because it didn’t want to alienate Jones, whom it viewed as central to its plans to expand the Chronicle’s circulation in the heavily African American Fillmore District. Jones also managed to avoid investigation and prosecution in part by getting the district attorney to hire as deputy district attorney Jones’s longtime attorney and confidant. Progressives defended Jones against the New West article. At a rally in the summer of 1977, Willie Brown said, “When somebody like Jim Jones comes on the scene, that absolutely scares the hell out of most everybody occupying positions of power in the system.” Angela Davis sent a radio message broadcast over the cult’s compound, Jonestown, in Guyana. “I know you’re in a very difficult situation right now,” she said, “and there is a very profound conspiracy designed to destroy the contributions which you have made to the struggle.” After visiting Jonestown, the attorney to the Black Panthers said, “I have seen paradise.” Harvey Milk, too, was tarnished by his association with Jones. In the fall of 1977, Milk wrote to President Carter’s secretary of health, education, and welfare requesting that Social Security checks be sent to elderly Temple members in Guyana. “People’s Temple,” wrote Milk, has “established a beautiful retirement community in Guyana.” In truth, the cult was disintegrating. Jones separated families and lovers, pitted relatives against each other, and forced neighbors to inform on each other. Jones sent people who violated the rules to solitary confinement in “the Box,” an underground cubicle where people were held as prisoners for days on end. Others were drugged. Progressives who had spent thirty years fighting to close prisons and mental hospitals found themselves praising a man who had reproduced their worst practices. In November 1978 a Bay Area congressman flew to Guyana to investigate human rights violations at Jonestown with NBC News. Jones gave the delegation a formal reception at Jonestown. A Temple member surreptitiously passed a note to one of the delegation members, saying he and another member wanted to escape. They fled the next day after a Temple member tried to stab the congressman. Jones didn’t prevent them from leaving but then sent gunmen to fire machine guns at the delegation at the airport, killing the congressman and four others. A few hours later, 907 inhabitants of Jonestown drank Flavor Aid laced with cyanide and died. Two-thirds of the victims were African American and one-third were children. Jones had told them that if they didn’t drink it they would be killed by invading soldiers from a shadowy global military conspiracy intent on imposing fascism and torturing children. As people started crying in grief, Jones scolded them. “Stop these hysterics,” he said. “This is not the way for people who are socialists or communists to die.” Jones’s wife protested the murder of children and had to be forcibly restrained. “We didn’t commit suicide,” said Jones in a tape recording, “we committed an act of revolutionary suicide protesting the conditions of an inhumane world.” Few were as stained by Jonestown as Willie Brown and George Moscone. “Even as the bloated bodies of the dead were removed from the jungle and the wounded were airlifted by the U.S. Air Force to hospitals in the United States,” wrote a historian, “Brown said he had ‘no regrets’ over his association with Jones.” They repeatedly disavowed responsibility. Said Moscone, “it’s clear that if there was a sinister plan, then we were taken in. But I’m not taking any responsibility. It’s not mine to shoulder.” This is Shellenberger at his best: telling us crazy stories from the recesses of San Francisco history, maybe kind of spinning the narration in a way that makes all progressives seem guilty by association, but with the tale itself so gripping that it’s hard to be mad. And Jones wasn’t alone. This was the golden age of San Francisco cults, when (Shellenberger tells us) “more than half of all high school students in the San Francisco Bay Area reported at least one recruiting attempt by a cult member, and 40 percent reported at least three contacts.” This chapter of SF history came to an end in 1978, when Dan White, who had just resigned from San Francisco’s Board Of Supervisors (ie City Council) entered City Hall through a window and assassinated Mayor Moscone and fellow Supervisor Harvey Milk, then successfully got charges reduced to manslaughter through a legal manuever that has gone down in history as “the Twinkie Defense” (realistically the defense was that he was depressed, but reporters seized on a comment that implied it was because he ate too many Twinkies). Everything about 1970s San Francisco was like this. With the Mayor and his right-hand-man both dead, San Francisco leadership ended up in the hands of previously second-tier politician Dianne Feinstein. Feinstein was what passed for a moderate in 1970s SF (which meant she had been targeted for assassination by various left-wing groups - she survived when a bomb left on her windowsill failed to explode). In Shellenberger’s telling, she managed to clean up some of the mess and restore a semblance of normalcy. San Francisco never forgave her. Moscone - voting fraud committer, underage sex enjoyer, and Jim Jones’ bff - is beloved as a martyr in today’s SF, but (the book points out) Feinstein is so loathed that in 2021 the Board of Education voted to rename Dianne Feinstein Elementary School. The Moscone Center is 2 million square feet and can fit about 10,000 people. Not to be confused with the Moscone Recreation Center, Moscone Station, or Moscone Elementary School. Meanwhile, all Dianne Feinstein got was one lousy elementary school and the Tithonus package of eternal life without eternal youth. Claim 8: The Intolerant Left Shuts Down Debate On These Issues Another one that’s probably hard to do a randomized controlled trial on. You could probably predict that this one was coming - it’s a necessary narrative beat in this genre of book. I think this beat is good. My impression is that people who aren’t themselves public figures disagreeing with left-wing ideas still don’t understand how scary it is and how much hate you get. Maybe now that 2/3s of every political essay written over the past five years is about this topic, people will finally get it through their thick skulls that it exists and is bad. I would also note that “traumatizing the sorts of people who write popular books about politics, in a such a way that they feel compelled as a sort of self-therapy to write page after page telling readers how angry they should be at you and your whole coalition” isn’t great political praxis. I would like people to figure this out and stop doing it. Anyway, Shellenberger is doing his part in this effort: In 2001, the San Francisco Coalition on Homelessness wheat-pasted posters of a fake front-page San Francisco Chronicle across town. Just beneath the masthead a large headline read “Fuck the Homeless!” right above a picture of San Francisco mayor Willie Brown laughing. Below his photo was the headline “Save the Tourists.” Progressives level the same charges at people thirty years later. “Because of some of the stuff I say,” said a community activist in Seattle’s historically black Capitol Hill neighborhood, “people say, ‘Oh, she’s not for them.’ But I have a heart for homeless and mentally ill. Most of my family works with the mentally ill.” Noted a Chronicle journalist in 2017, “Inevitably, homeless advocates and others will say, ‘You’re not compassionate,’” in response to stories about homeless encampments. “They called me a racist,” said Tom. “They accused me, a guy who used to be homeless, of demonizing the homeless, because I’m asking for accountability.” I found myself similarly accused. In 2019, after I published an article for Forbes about the homeless crisis, a progressive homeless activist accused me on Twitter of having written my article to “make money off of a fear tactic” of “fueling hatred [and] even increasing violence against homeless people.” After I asked the former San Francisco supervisor for the Tenderloin neighborhood, former mayoral candidate Jane Kim, how such a progressive city ended up with so much suffering, she said, “My concern, Michael, just to be very honest, is that when that kind of messaging goes out, violence against people who are unhoused goes up.” […] I soon discovered in my research that I was hardly the first person that progressive elected officials and homelessness advocates had accused of fomenting violence against unhoused people. Many others had been criticized for far worse over the years, including San Francisco’s highest elected officials. “The criticism [by progressive homelessness advocates] was heavy, political and personal,” wrote former mayor Willie Brown in his 2008 memoir. “People accused me of abandoning the problem when I was working daily to try and get a solution going. It was brutal. . . . I had become demonized, and my own efforts belittled.” It is notable that the result of such personal attacks is to frighten off people seeking to change, and perhaps improve, the situation. “The problem” of homelessness, concluded Mayor Brown within nine months of entering office, “may not be solvable.” And [Quoting Chris Rufo]. “The chief of psychiatry in a public hospital system in one of the largest California cities told me, ‘I know for a fact, and all of my colleagues know, that what we actually need to deal with the problem in the biggest cities in California is long-term residential secure psychiatric care. But I can’t say that publicly because I would be disemboweled by the activist left. My job would be in jeopardy. My reputation would be in jeopardy. My whole life would get turned upside down for even broaching the subject of expanding secure mental health facilities and compulsory mental health treatment.’ And I said, ‘So what’s the solution?’ and this person said, ‘We muddle through.’” And: In San Francisco, radical left activists protested [African-American] Mayor London Breed in front of her home. Breed said the protesters were “all white people. But that didn’t bother me as much as the taunting of me coming outside with firework torches in their hands looking like what used to happen when the KKK would show up to black people’s houses to burn their houses down.” While I was reading the book, I came across this tweet, which suggests that being unimpressed with SF’s lefty homeless activist scene is not limited to Michael Shellenberger: Claim 9: European Cities Like Amsterdam Successfully Solved Their Own Drug And Homelessness Problems By Doing The Opposite Of SF Shellenberger bases his plan to solve these problems on ideas that he says were pioneered in Amsterdam and spread to other European cities. In the 1980s, Amsterdam had the kinds of problems San Francisco deals with now: open-air drug markets, overdose deaths, homelessness, and crime. But in the 90s, they admitted they had a problem and took decisive action: What’s the secret?” I asked him. “Amsterdam has decriminalized marijuana and many other drugs but I haven’t seen any homeless. What is San Francisco doing wrong?” Rene said that in the 1980s, the Zeedijk neighborhood in Amsterdam was a lot like the Tenderloin [the worst part of San Francisco] today. There was open-air drug use, particularly of heroin, and needles strewn about, as well as crime. People started to flee the neighborhood, worsening its slum conditions. Homeless people squatted in abandoned buildings. “We had ghettos where it was not safe to go,” said Rene, who started working in the neighborhood as a nurse in 1985. It was considered a “no go” zone. “We had a lot of people from abroad who came to Amsterdam because our heroin was so good. But our heroin was so good that they died from it.” At first the city tried a “helping approach” exclusively, offering addicts clean needles, methadone, and other forms of help without any law enforcement, but it didn’t work. “In the eighties we just wanted to help people,” said Rene. “We started with methadone programs and medical treatment. We did a lot of work without much of a carrot and a stick. It was really a disappointment. They just used the methadone to stay addicted. They dealt drugs and committed other crimes. They lied and cheated about it. We were just supporting a different kind of market. We had to learn the hard way [...] The Amsterdam City Council asked the Amsterdam Municipal Health Service to develop a strategy to deal with “unmotivated drug users”...The police broke up the open-air drug scene and health workers were on hand to offer methadone, treatment, and shelter. The police broke up gatherings of more than four or five users, but did not treat personal and private use as a crime. Officers ticketed violators, and if users did not pay their fines, which was frequent, the courts ordered arrests, and sentenced individuals to follow a treatment plan or face incarceration. “For every individual homeless person, we make a plan,” said Rene. “We made tens of thousands of those plans.” Plans are overseen by a caseworker and a team that may include a psychiatrist, shelter provider, service provider, judge, employer, parole officer, and police officer. “You need people in the police and health department working together,” he said. What Amsterdam did was the same as other major European cities. Lisbon, Frankfurt, Vienna, and Zurich all dealt with their open-air drug markets, using a combination of law enforcement and social services. Crucially, Amsterdam and other European cities prevented services from being concentrated in a single neighborhood, since their concentration often enables an open-air drug scene to thrive [...] The efforts worked. “We had several thousand people who were addicted to heroin in the eighties and nineties,” said Rene. “Many died. Today we have four or five hundred people addicted to methadone. And we have about 120 in Amsterdam who we supply heroin to on a medical basis because methadone doesn’t work for them. They have to use heroin.” The Amsterdam strategy goes something like: Break up open-air drug markets and anywhere that more than 4-5 drug users are congregating. Yes, people can just use their drugs in private, but this is legitimately better. Open-air markets normalize drugs with their blatantness, and make it hard to quit for the same reason it’s hard to diet if your partner leaves boxes of donuts out in the house every day.
Black Walnuts

Black Walnuts is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 10, 2022 and February 10, 2022. The archive places it in contexts such as "This mix will be centered on Black Walnuts and American Chestnuts". It most often appears alongside 2018, @BendiniUK, @benyeohben.

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Black Walnuts
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February 10, 2022
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February 10, 2022
February 10, 2022 · Original source
#125: Plant Trees For Carbon Capture My name is Dan Sparkman and I want your help to plant trees for carbon capture. There are plenty of people planting trees and they are mostly worthy of support. However most reforestation projects are eventully going to be cut down. I aim to plant forest gardens which should stand for hundreds of years. The first principle of sustainablity is (or ought to be) sustain the caretaker. Your porject needs to look after them so that they have the time, money and incentive to look after the project. Most reforestation project aim at maxim growth for maxim carbon capture. Because of this, when local people have a need for that land, the carbon capture forest will be cut down. I plan on planting a mix of trees that provides income for locals every year. This mix will be centered on Black Walnuts and American Chestnuts. Both native climax trees. This mix of trees will provide food and wood, for years into centries, all with minimal human intervention once it is started. There have been recient studies on the west coast with forest gardens still triving after 200 years of neglect. I have no specal skills, just a passionate amature, but I do have the connections with local land owners, goverments, and tree hobbiests to plant 1000 trees for $10 000. Give me more money and we can start to see real change. That's my project in a nut shell. Help me plant trees. Trees which provide a food crop, supporting the farmer/land owner/locals so they won't be cut down. Contact me at sparkman.dan@gmail.com
black-capped vireo

black-capped vireo is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 14, 2023 and July 14, 2023. The archive places it in contexts such as "I've spotted every one of the fifty most common birds of Texas — even the black-capped vireo". It most often appears alongside !Kung San, aboriginal people on the west coast of Canada, Adam Smith.

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black-capped vireo
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1
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1
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July 14, 2023
Last seen
July 14, 2023
July 14, 2023 · Original source
From trivial to rich: the trick What could an intellectually rich elementary school curriculum look like, if we built it on kids’ cognitive strengths? He gives us one suggestion to help us do this: ask where each discipline came from in the first place. What was math before it was math, for example — or science before it was science? Q: How on Earth could that help? That’ll become clear later, when we finally uncover what Egan thinks “education” actually is, and see what job he wants us to give schools. For now, take it as a tantalizing hint… or, y’know, just ignore it. Elementary literature & language What was literature before it was literature? Before people invented writing, they had rich oral traditions: they told simple stories, recited poems, and shared proverbs. Egan suggests that these bits of oral tradition should form the backbone of the elementary literature curriculum. Q: What sorts of stories? As many as we can, and from as many diverse cultures as possible! Folktales are wonderful, as are myths. Think the Aboriginal story of “The Rainbow Serpent”, episodes from the Sumerian “Epic of Gilgamesh”, the Egyptian story of Osiris & Isis, the Greek story of Orpheus & Eurydice, the Chinese Legend of the White Snake, the Japanese Tale of Amaterasu and Susanoo, the Ashanti tales of Anansi, the Aztec myth of Quetzalcoatl, the English legend of King Arthur, the Maori myth of Maui and the Sun, the Roman story of Romulus and Remus, selections from the Indian Mahabharata, the Anglo-Saxon epic of Beowulf, the Inca legend of the Sun and Moon, the Iroquois Myth of the Flying Head (a real thing! look it up!), and the Ojibwe story of Turtle Island. Q: That was a lot of examples. Are you going to keep giving so many? I’ve got a [mumble mumble mumble] to get to. Sorry about that. Sometimes, though, I feel that a limitation of reading Educated Mind is that, in trying to keep his book to a manageable size, Egan skimped on examples in some places that it matters. It’s easy to read his occasional example and assume he intends that it hold some central place in the curriculum — when all he wants to do is display how rich and diverse the curriculum could be. (Also: good God, I didn’t even include an example from Norse mythology!) So from now on, just assume that every category could be filled with oodles of examples. Q: What sorts of poems? Lots of poems, first of all. We shouldn’t steer toward “fancy” poems — rather, we should find poems that appeal to kids immediately — think Shel Silverstein, Mother Goose, Dr. Seuss, Jack Prelutsky, Edward Lear, or Ogden Nash… that sort of thing. In a biting essay, Egan suggests these poets like these appeal to kids precisely because they leverage kids’ cognitive strengths: “we should find, and encourage saying and singing and shouting aloud verse with strong narrative forms, thumping rhymes and rhythms, the most vivid images, fun with metaphors, and a rollicking story.” Q: Why proverbs? Proverbs stick in your mind almost effortlessly. (“All’s fair in love and war!” “When in Rome, do as the Romans do!” “You can’t judge a book by its cover!”) They’re also useful; they capture general truths. Kids can apply them to all sorts of situations, but also discuss them — to what extent are they wise or foolish? (I remember my surprise when I realized that they couldn’t all be true — because you can’t follow “look before you leap” and “he who hesitates is lost” at the same time! I’m embarrassed to say that I think I only realized this when I was in college.) Elementary science What was science before it was science? Egan suggests: being immersed in the natural world. We might, he writes, encourage elementary students to “adopt” some feature of the natural world — a patch of grass, a cat, a branch, a stream — and simply observe it at length. To do this, we can use the cognitive strength of reverie. Q: Oh, do you mean like kids sometimes do in science class nowadays — describe a thing to a partner, make notes, draw it, and label its parts? No, the exact opposite! That’s all about squeezing the experience into words and forms that we understand. What we want “is less an attempt to know about nature as to know it in some participatory way, to know it as something we are an intimate part of, not set off from”. Q: That sounds a little… “woo” to me. It did to me, too… until I remembered my childhood climbing tree. I didn’t much like to go outside as a child, but I had this one tree that I’d climb up and read for hours and hours. If I close my eyes I can bring to mind the precise texture of its bark, the roughness of its broken-off branches, the coolness of its leaves, the always-surprising solidness of its trunk… I’m bigger now, but I think if I were back in my parent’s yard, I could still navigate its limbs with my eyes closed. I have, at this point in my life, read a fair number of books about trees, but I’d be surprised if all of them together more than equaled the amount I learned from that tree — my tree. Elementary math What was math before it was math? Egan suggests: counting and logic. We might, then, use rhythms, metaphors, stories, and jokes to help kids become fond of these. Q: Counting is pretty… basic. Could it really be improved? Beware of “the curse of knowledge”: Steven Pinker’s phrase for forgetting that something was once difficult! Egan suggests we should spend time helping kids count wonderfully. We can start early with counting rhymes. (“One, two, buckle my shoe! Three, four, out the door! Five, six…”) But we can also help kids use their fingers as metaphors. There are some pretty cool ways of using your hands as an abacus — and did you know that you can count up to 1,023 using just your fingers on both hands, and a knowledge of binary? Q: Logic — I’m intrigued! Aristotelian, or Boolean? Neither, for the time being — Piaget was presumably onto something when he found that young children couldn’t reason abstractly, but he was looking at logic in a vacuum. When we put logic into the context of stories, we find that kids can deal with logic just fine. There’s an entire worldwide network of educators, in fact, called Philosophy for Children, who have written whole books about how to do this, and Egan loves it all. Sometimes they read stories and ask simple questions: “What is friendship?” or “What does it mean to be brave?” They also pose ethical questions: “Is it ever right to spill a secret?” And they pose paradoxes: “Can you step in the same river twice?” Q: You mentioned “jokes” a moment ago. Care to elaborate? Egan thinks that, to help kids get good at math, you should tell kids jokes. Q: That’s… new. I think so, too — but he backs it up pretty well. To be funny, jokes (or at least most kid jokes) rely on a leap in logic: Why can’t you trust an atom? They make up everything. Knock-knock. Who’s there? Boo. Boo-hoo? Don’t cry, it’s just a joke! To understand the joke, kids have to follow the logic — spotting patterns, making connections, and tracking what their audience expects a word to mean. That’s a lot of cognitive lifting. And Egan goes further, suggesting that we grit our teeth and create methods to help kids invent their own jokes, no matter how horrible they’ll be at first. (The things we do for learning…) Q: Wait wait wait! What about addition facts, and multiplication tables, and fractions? Egan emphasizes that his methods are designed to be add-ons to the standard math curriculum. In general, he’s a don’t-blow-up-the-system sort of guy, and if something seems especially weird, you should probably assume it’s an add-on to the regular curriculum rather than a replacement, even if I forget to say so. Elementary arts What was art before it was art? Egan suggests we pop our heads into Paleolithic caves for our inspiration. Whatever the specific meaning of all those charcoal elk and aurochs and mammoths (communication with the spirit world? art for art’s sake? a way to impress babes?), Egan thinks it obvious that they were also an attempt to capture an intense experience that would be difficult to express in words alone. What did it feel like to be near an aurochs, or a saber-toothed tiger? “The arts help us,” Egan writes, “to hear and see afresh, to force our perceptions and sensations to experience again the immediacy and vividness of the world”. If we follow this, then, we don’t want to help kids build “art skills” so they can draw like an adult — rather, we want to help them amass a repository of diverse aesthetic feelings that they’ll want to express. We should provide them with a riot of experiences. Q: That couldn’t be more opaque. Examples, please! Egan writes that we should have children learn to whistle, sing, and click their tongue; we should help them emulate the ways a skunk or a hawk or a stick bug might move through a space. We should expose them to scores of different temperatures and materials. In music, we should help them love Beethoven, yes, but also the Beatles; Tchaikovsky, yes, but also Tuvan throat singers, and also John Cage, whale song, and bird song. Q: That’s a lot of experiences, but what would they be doing? An interesting aspect of Egan’s view of education is that he doesn’t seem to think we should push kids right to the “doing” phase. He wants to help kids cultivate an affective relationship with the world. In any case, he writes that as students get more experienced, we should prompt them to move from merely enjoying these experiences to trying to systematically shape similar experiences. And drawing, painting, and playing music could easily be folded into other parts of the curriculum. Elementary social studies What was social studies before it was social studies? Well. Remember how, just a moment ago, I wrote that you could assume that you should probably assume that Kieran isn’t in favor of junking the curriculum as it currently stands? He suggests we very carefully pick up the elementary social studies curriculum, place it into a trash can, and set the whole mess on fire. He isn’t worried about much of importance being lost. (Remember that the “expanding horizons” model is, to him, the original sin of 20th century educational reform, and he repeatedly quotes student surveys showing that “social studies” regularly wins the title of “most boring subject”.) In its place, he suggests we put history — which, he hints, we should think of as the centerpiece of the elementary curriculum. So the real question is what was history before it was history? His answer, surprisingly, is myth. Q: Egan wants us to teach myths as if they were history? Not at all. What he suggests, though, is that we look at how myths operate as narratives — so we can design an intellectually vivid history curriculum. And myths really are special: each is built on at least one binary (like weak vs. strong, or lies vs. truth, or so on), and uses that to tell the story of the big picture of the world. They’re so powerful that people can understand it, remember it, and love it — even if that thing never happened. We should take that power, Egan says, and apply it to things that really did happen. Q: So what history does he think kids should learn in elementary school? The great struggles of humanity from across the whole. Flippin’. World. We’re still talking about young children, so these should be done as simple stories. The goal isn’t to make them history PhD’s, so we needn’t even try to put them in any sort of order. Egan suggests that, in first grade, we pick a single binary like “freedom against oppression” and tell kids a welter of stories, again from as many cultures as possible, and as many times in history as possible. Q: Can you give examples? Oh, all right — in first grade we can tell kids the stories of the war of the Greek city-states against the Persian empire, and the slave uprising of Spartacus against the Romans. We can tell them about the plight of Jews in medieval Europe, and of the unsuccessful Sepoy Rebellion in India against the British. We can tell the stories of the American, French, and Haitian Revolutions, and about the Chinese Taiping Rebellion against the Qing Dynasty. We can tell them the story of the escaped slave Harriet Tubman returning to the South to rescue her kinsmen, the story of six-year-old Ruby Bridges facing threats to integrate her elementary school, and the story of how the Mau-Mau uprising led to modern-day Kenya. We can tell the stories of Mexican-American union organizer Cesar Chavez and of Malala Yousafzai surviving an assassination attempt to advocate for female literacy. The world does not lack for stories of oppression and liberation that can capture the attention of a six-year-old. Q: That’s… huh. What stories might they hear in second and third grade? Egan gives examples, but I won’t list them here. He suggests we use a similar approach for each, except that we swap out the binary each year. He thinks “the struggle for security against danger” would work well for year two, and “the struggle for knowledge against ignorance” would work well for year three. (That year could have a lot of overlap with the science curriculum.) Q: Anything else, for history? Yes — they should get a sense of Big History. They should get some simple stories about the ice age, the Cenozoic, the age of dinosaurs, the Paleozoic, the origins of our solar system, and the Big Bang. (Because if the ancient Norse can tell their story of the beginning of the universe, by gum, we can tell ours, too.) To sum up Egan argues that the problem of early schooling is that it’s trivial — and it’s trivial because the dominant theories of educational psychology see children as lesser versions of adults. What else would we teach them, except dumbed-down versions of what adults learn? But children have certain cognitive strengths that schools aren’t making systematic use of. If we rebuild elementary schools on those strengths, we could turn schooling upside down. We could stop seeing the curriculum as a bag of information to impart, and start seeing it as a set of great stories to tell — and invite kids into. Kids could experience (both intellectually and emotionally) the great struggles of humanity and see that they can join in them. Students could experience the story of education as the beginning of a very real adventure. Egan’s elementary school: some skeptical questions Q: I’m not sure I’m understanding what you mean by “mental images”. Care to explain? It’s an interesting fact of human cognition that just a few words can whip up a complex mental experience. Egan doesn’t just mean what we might call “visual imagery” — the ability to hold, say, the image of a bespectacled, spat-wearing duck in your mind without seeing a photograph. He’s also including what psychologists call auditory imagery, olfactory imagery, gustatory imagery, and tactile imagery. Q: How could all of that be helpful in schools? Humanity has a built-in VR system, and we’re not using it! Egan invites us to pretend we’re teaching a class about the humble earthworm. We might list off facts — “earthworms are so many centimeters long, move through soil by means of their something-or-other muscles…” but he suggests we can evoke images, say, “of what it would be like to slither and push through the soil, hesitantly exploring in one direction then another, looking for easier passages, contracting and expanding our sequence of muscles segment by segment, and sensing moisture, scents, grubs, or whatever”. Those facts are now felt by the student; the knowledge has become part of them. And just a few words can spark a complex mental experience, one going beyond literal images to include imagined sounds, smells, tastes, and more. These experiences can feel real and stick with us. (That these mental images are so easy to evoke, and so meaningfully felt, feels something like the proverbial hundred dollar bill on the ground.) Q: How could metaphors be helpful? It really is interesting that so much of the “constructivist” turn in psychology — that is, the notion that children don’t absorb knowledge, but construct it — has continued to focus on logics-mathematical reasoning, when there’s been mounting evidence for decades that metaphors are more central. It’s not just that we use metaphors to better understand things we already know, we also use them to grasp new knowledge. What’s more, psychologists have devised tests to measure the skill at metaphor-making, and have given them to people of different ages. What they found was that eleven-year-olds make more metaphors (and higher quality metaphors) than do undergraduates — and that four-year-olds have both groups beat. Again, hundred dollar bills on the sidewalk. Q: Your talk of “binaries” has me worried — binaries like good/evil and male/female are the source of so many of our most pernicious stereotypes! Isn’t the purpose of education to get us beyond stuff like this? Yes, it is! Education is supposed to complicate our understanding — but that means we’ve gotta start somewhere, and binaries provide us a natural starting place. As an uncontroversial example, think about temperature. We all begin as babies by perceiving two temperatures — hot and cold. Later, we add on intermediate categories — warm and cool. (Note that the human body is the assumed mid-point to temperature. Binaries often work like this; “big” and “small” mean “bigger or smaller than me”, “nasty” and “kind” mean “nastier or kinder than I am, except when my brother is really asking for it”, and so on.) A good story (and an Egan-inspired elementary curriculum is, in a sense, nothing but good stories) will go further, and transform the binary. Toy Story is grounded in the binary of abandonment/belonging: at the beginning, the toy cowboy Woody belongs to his owner, and has his affection. Then a rival comes who threatens his belonging. In trying to get back to belonging, Woody is entirely lost — and to save the day, he has to come to a deeper understanding of what belonging means. Now, all lessons can’t be Pixar movies. But the good stories (especially in literature and history) will challenge and subvert the binaries they begin with. Q: I see the pattern of Egan drawing from “as many cultures as possible”. Why so many? Is this a political correctness thing? If it helps to think of it as such, then, sure! I don’t think Egan would have had a problem with that. But his ultimate reason for including so much diversity goes deeper. For Egan, including such world-wide diversity isn’t optional, and the answer to why is bound up in his definition of education. (Keep reading.) His answer also insists that we, whenever possible, also include stories from the Bible and Homeric epics (the Iliad and Odyssey). Q: Mmm, stories from the Bible aren’t going to fly in my local school! So be it! Egan doesn’t spend much time obsessing over the practicalities of… His interest is in describing what an ideal education might look like, if it were possible. Every lesson, every classroom, and every school is necessarily a compromise. Q: You make a big deal of poems. But isn’t poetry dead? An interesting contrast can be made to classical education, which also has kids read a lot of poems — they see knowing great poems as one of the marks of an educated person; again, for an academicist, it’s the information that transforms. Egan begs to disagree. Poems are important because they’re a wonderful way to train their cognitive strengths, like rhythm (poems are language fueling by thumping). We want to help kids learn to use this tool better, and a great way to do that is to help them recite poems that they’ve learned by heart. Q: “Learn by heart” — is that code for “memorize”?! It is! Egan is actually quite big on memorization — he points out that all the knowledge in the world can do nothing for a person once they’ve forgotten it. He didn’t, however, appreciate the academicist focus on memorizing without understanding (or at least enjoyment). Q: I’m still worried about the science curriculum, as you’re describing it. Can you allay my fears? Honestly, while I feel there’s something profoundly right to how Egan is describing early experiences of nature, I feel the same way. Note that there’s more science coming in the social studies curriculum. But if that’s still not enough, one could bring down aspects of the middle school science stage. Q: Anything else that Egan suggests we do in elementary school literature and language? He suggests that we help kids learn a second language! This is so obviously true (why do American schools typically wait until kids lose the ability to naturally absorb languages to start teaching languages?) he doesn’t belabor it, though. Q: You had mentioned that Egan’s vision seems more internal-focused. Should we be worried about that? While I strongly suspect that his curriculum would make kids more creative in any way you’d like to measure it, Egan wasn’t particularly interested in “creativity” — he was more about helping kids find the world interesting. I get the sense that he thinks kids will do things with minimal prompting once they’re loaded up with complex internal experiences. Q: I think I’m beginning to understand Egan — is he basically saying “make learning fun”? “Fun”, applied to education, is a dangerous word. Egan worries about the dangers of an emotionally unserious curriculum producing emotionally stunted adults. That doesn’t mean we need to tell students only “serious” stories — only that we treat the world honestly. “Disney-esque sentimentality is the exact emotional equivalent to intellectual contempt”. Q: But aren't some of these stories too dark for children who have themselves experienced oppression and disaster? Egan argues that these stories may be especially helpful to them — they can help them understand their struggles better, and give voice to them. Q: At the very start of this, you promised us “rationality”… but I’m not seeing rationality here! All this talk of “adventure” almost seems to go the opposite direction. What gives? Wait for it. But for a hint right now — Egan is fond of citing his fellow educational theorist Jerome Bruner, who claimed “any subject can be taught effectively in some intellectually honest form to any child at any stage of development”. Bruner was criticized for that; his critics charged that he was ignoring learning differences and socio-economic realities. Egan thinks he was profoundly right. Part 3: A new kind of middle school What’s the matter with middle school? What was middle school like for you? In math, I recall a jumble of barely-related topics. In literature, I remember reading great literature — Frankenstein, Romeo and Juliet — only in their dumbed-down summary formats. In social studies, I remember teachers proclaiming on the first day of class that unlike all of our previous history classes, this class wouldn’t be about names and dates… and then going on to memorize names and dates. And in science, I remember being forced to dissect a frog only to discover that frogs are — you guessed it — made of slimy frog parts. Your mileage may vary, but for a lot of us, middle school feels like getting booted out of the (in retrospect) Eden of elementary school, and like marking time before the serious studying of high school. It feels meaningless. In my favorite of his books, Egan calls so much middle school curricula “human deserts”, noting “we have created a system in which the importance of human emotions for meaning seems barely noticed”. Why so meaningless? If our dominant approaches to educational psychology fundamentally misinterpret younger children, Egan suggests, they basically throw up their hands when faced with pre-teens and teenagers. Mainstream schools begin to introduce vocational training to help lighten the load, and Maria Montessori famously suggests that adolescents should be sent to go run a farm. Egan is sympathetic to those responses, but points out that they don’t do much to lighten the load that the academic curriculum often becomes at this age. This feeling of meaninglessness, he argues, is utterly tragic — it comes just when a hunger for meaning blossoms in adolescents! We can see that hunger for meaning in their lives outside the classroom, where their interests ramp up into veritable obsessions. What are adolescents obsessed with? What might we see, if we become Jane Goodalls of early adolescence? First, teens are obsessed with gossip. The motivations of others — why did he do that? and what was he THINKING? — are hypothesized and talked to death. Second, that they’re pulled toward idealism. Many feel a dissatisfaction with the world as it is, and feel a romantic urge to make it a better place. They’re often lured into simplistic beliefs that promise to help them do that. Third, they love extremes: they want to find limits, and test them. Obviously, this can show up as risky behavior, but we can also see it in their love for the bizarre — note adolescents’ fascination in things like aliens, cryptids, and ghosts. (Egan loves pointing out that The Guinness Book of World Records is a perennial bestseller among kids at this age. How else would they find out who had the world’s longest fingernails?) Fourth, they gravitate toward heroes — people who push the edges of those limits. By celebrating heroes, they can vicariously share in their transcendence. Look for the posts hanging up in a teenager’s bedroom to guess what boundaries they feel most hemmed in by: athletes push against physical limits; a death metal guitarist might push against authority and conventional morality. An activist or entrepreneur might push against our dulled morality or our sense of what’s possible. Finally, we might spot teens taking up hobbies and making collections. Hobbies can be a way to identify yourself as part of a group against the rest of the world (“I’m the sort of person who goes bird-watching!”), and collections can be a way to climb the status ladder inside the community. Egan points out that a collection can also be a way to feel like you have control over what you’re discovering is a very big and complex world of detailed information (“I’ve spotted every one of the fifty most common birds of Texas — even the black-capped vireo!”) Egan’s insight is that these obsessions give teenagers a sense of meaning, and that we can use them as tools to make middle schools that overflow with meaning. From meaningless to meaning-soaked Again, Egan sketches out a new kind of curriculum subject-by-subject. Before, his trick was to ask where the subject first evolved out of; now, it’s to ask who first discovered or created the specific content we’re teaching. “All knowledge”, he writes, “is human knowledge. Everything we know is knowable through the lives of its inventors, discoverers, or users, and we can have access to that knowledge through the hopes, fears, or intentions that drove them”. Middle school math Who first discovered the concepts students learn in math? The answer, of course, is a wide diversity of curious men and women living across the world over the last few thousand years. Egan says: bring those people into how we teach math. If we used gossip and heroes to help students find it meaningful, what kind of math would result? When we teach the Pythagorean theorem, we should give a sense of who Pythagoras was — a cult-founder who worshiped numbers to find God, whose followers (according to a piece of ancient gossip) murdered one of their members who discovered irrational numbers! Q: Well, sure, that works for Pythagoras, but he’s a known nut job; surely most math doesn’t come from such interesting roots? When we teach the Cartesian coordinate system, students should meet Rene Descartes, the Calvinist French polymath who saw the possibility that math could decipher the world, if only we could unite algebra and geometry… and invented the xy-plane to do exactly that. When we teach scientific notation, we should call our students’ attention to the importance of the number zero, and tell them the story of the Pope who tried to introduce Arabic numerals to Christian Europe and may have been assassinated because of it. When we teach algebra, we should ask students why “algebra” is Arabic for “the fixing of bones”, and tell the story of what Muhammad ibn Musa al-Khwarizmi was up to. We could do this all day. Literally everything students learn in school was first invented or discovered by some interesting person who was struggling to accomplish something hard. To learn is to connect with those people, whether we know it or not. Egan says: help kids know it. Math has been dehumanized: re-humanize it. Q: So the math curriculum needs to become a history of math curriculum, and math teachers need to become history teachers? No, the content needn’t change. But with surprisingly little work, we can bring in the gossipy stories of heroes, and their obsessions can spread to students. Middle school science Who first discovered the things students learn about in science? If you’re thinking “scientists”, you’re only partially right. Most of the big-picture ideas that we now think of as “science” were discovered before the word “scientist” was invented, or the discipline was professionalized. Frequently, they were hatched by true amateurs, working in their free time, hungry to unlock the secrets of nature. We can use gossip and heroes to spread their obsessions to students just as we taught math, but Egan points out two twists. The first is that the content itself can take on heroic qualities: everything is impressive, when you look at it in a certain light. In an interview, Egan once said: “My book is an attempt to show that, indeed, everything in the world is wonderful, but that schools are designed almost to disguise this slightly shameful fact. We represent the world to children as mostly known and rather dull. The opposite is the case: we are surrounded by mystery, and what we know is fascinating”. What would even the most boring subjects look like, if we emphasized their heroic qualities? Well: What’s a tooth? Bone, wrapped in rock, surrounding tiny cells that your body feeds with blood. What’s a bar of chocolate? A crystal of jellyfish-shaped fat molecules stacked together; when you put it in your mouth you shake them apart into a writhing confusion. What’s the air around you? The bottom of a 10-mile-deep ocean; when you put your tongue over a soda straw and your Pepsi stops leaking out, it’s not because a “vacuum” is “sucking” it up, but because that ocean is squeezing it into your face. Again, we could do this all day! And in middle school science, we can. Everything in the world is wonderful; we can help students see this again and again. The second twist is that science is a subject rich in extremes. Here Egan introduces a concept that we’ll see crop up again: “15-minute segments”. To help us fit as much wonder as possible into a school day, he suggests we supplement the usual school subjects with a few quick lessons. To infuse science with extremes, he suggests we add on three: “human & natural records”, “extremes of animals & plants”, and “cosmology”. Middle school history Who first made the things students learn about in history? Why, the historical characters themselves! Since we’ve given kids a grounding in history in elementary school, now we can build on that, going through many of the same events as before, but in more depth, and more vividly. We’ll leverage the interest with other people’s inner lives to tell stories focusing on the perspectives of the people who made history — zooming in, when possible, on scandalous details. We’ll leverage the tool of idealism to choose historical characters who chafed against their surroundings, and understand what they were trying to accomplish. What was their vision of the world? What did they hope for, and what did they fear? Q: Isn’t the “great man” approach to history out of fashion? Egan’s approach doesn’t say that “great men” made history — it’s just leveraging gossip to help kids see history as something meaningful that can expand their own possibilities. “Early adolescence is commonly a time of intense and vivid emotional life, and also a time of deepest boredom and depression… [We] can give shape to the intermediate curriculum and offer the students a world that is rich, complex, varied, and as intense and vivid as their own emotional lives”. We also should add on another “15-minute segment” just to pump in as many biographies as possible, and from people who don’t always fit into the normal history curriculum. Call it “Brief Lives”, and throw in anyone who’s struggled to push some limit — Mary Wollstonecraft, Jesse Owen, Dietrich Bonhoeffer, one of the students’ great-aunts, whoever. As students get older, this can transition to “People and Their Ideas”. Here, we’d focus less on the details of the person’s life, and use it as a backdrop to showing how meaningful some of history’s most important ideas could be. Think Aristotle and syllogisms, Edward Said and orientalism, Confucius and propriety, Cornel West and race, Buddha on the four noble truths, Muhammad and the five pillars, Karl Marx and communism, Adam Smith and the invisible hand, Thomas Hobbes and the state of nature, John Locke and natural rights, Jeremy Bentham and utilitarianism, Thomas Aquinas on the sacraments, Martin Luther on faith, Voltaire on the freedom of speech… you get the idea. Q: Can you really get a profound understanding of utilitarianism in 15 minutes? Yes! The point of this segment isn’t to develop a systematic understanding of any one idea, it’s to introduce students to the exciting possibilities of human thought. (As a bonus, this might make them less likely to fall for the first ideology that they encounter later in life.) Diversity is important for this — as it is with culture. Throughout this, we should also be trying to expose students to as much cultural diversity as possible, because in high school, we’ll be trying to make sense of our society, and it’s impossible to do that unless we have something to compare it against. Middle school literature & language You might think that this subject would be easy — that middle school literature is already filled with “strong and clear narratives”, that it deals with “transcendent human qualities such as courage, love, and persistence”, that it focuses on “extremes of human experience”, that it examines “something strange and exotic”. You’d be right! Egan’s pretty happy with a bog-standard middle school literature curriculum, done well. In this part of the book, his spends most of his limited space suggesting three rather odd activities which could also be useful — especially for increasing students’ awareness of language, so they can use it better. The first is etymology — not, however, memorizing lists of roots, but in being told the entertaining backstories of specific words. Take the word “berserk”, for example — we now use it to mean something relatively mild (“if my mom catches me coming home late, she’ll go berserk”), but it comes from an old Norse word meaning “a raging warrior of superhuman strength”. And that’s because ber meant “bear” and serk meant “shirt”: soldiers of the bear cult would don the skin of a bear to, in their minds, transform into one — howling, foaming at the mouth, and gnawing the rims of their shields. (Most adults walk through life with little understanding that the words falling out of their mouths are entities, with their own back-stories. Communication is, at the very least, more interesting when we become aware of this.) The second is to add on another language to learn — not, this time, to become fluent in it, but just to become aware of how very different human languages can be. (For native English speakers, Sanskrit might work well, or Cantonese, or perhaps even ancient Egyptian. Again, the point isn’t for this language to be useful — it’s to explore diversity.) The final one is to study humor — not just jokes anymore, but comedy at its finest. Egan cites (at length!) Monty Python as a group of people who were particularly brilliant in their use of the English language. Examining their skits can lead us into not just an appreciation of semantics (the study of how meaning is made from smaller pieces, like etymology) but also pragmatics (the study of how meaning is made in social situations). Pretty heady stuff, for a conversation about a dead parrot. Part 4: A new kind of high school I’ll confess — I loved parts of high school… and among nerdy folks, I suspect I’m not alone. For some of us, this was a golden time. Even at my local public high school, I had access to academically thrilling classes — especially, in my last two years, advanced literature and history. I felt like I was finally understanding the ideas that mattered. In any case, Egan is quick to acknowledge that, at this level, the sort of education he advocates really is being practiced in some places. What he can add is an understanding of what makes it wonderful, how to make it even more wonderful, and how to make it wonderful for many, many more people. What’s the matter with high school? Far too often, even when high school classes are intellectual, they’re dry. For the majority of students, all this academic stuff is experienced as utterly lifeless, a mass of dead information to be squeezed inside one’s head for a test and then left to evaporate. Egan mocks the curriculum wars that seem to be a permanent feature of the teaching life; quoting the sociologist Pierre Bourdieu, he says “while the academic left and right bicker over whether the curriculum is too traditional or too radical, they fail to recognize that most students absorb so little of academic culture that the bickering is largely irrelevant”. Why so dry? Egan suggests three reasons to explain this. First, because high school academic classes are too often masses of small details with no sign of the big picture. Second, because they’re typically slavishly disciplinary, and aren’t able to address the questions that span the disciplines. Third, because they’re often designed to bring students through what everyone is sure of, and hide away any controversies. In all of these, Egan suggests that what’s called “academics” in high school is too often a dim imitation of what real academics are actually practicing. There’s a fourth reason, though, and it’s probably the biggest of all — by the time they get to high school, most students haven’t actually learned that much! An academic approach is designed to connect small details into the big picture; for people who arrive in high school (and college) classes without having already collected much in their heads, academics are going to taste dry. (An implication of this for anyone trying to improve schools is that we might not want to start with high schools. If your goal is to create a new kind of academic learning, first start at elementary school — or barring that, middle school.) What motivates mad scientists? When we wanted to re-conceive the elementary and middle school curriculums, we looked at what students were already good at — kids’ cognitive strengths and adolescents’ obsessions. For this level it might be easier to look — for reasons that will become clear when we finally unveil Egan’s crazy-sounding definition of education — at the sorts of things that bring intellectuals joy. Q: Which intellectuals? Take your pick. Galileo, Einstein, Smith, Marx, Goodall, Chomsky, Curie… all the people who took to the life of the mind like fish to water. But that’s a lot to hold in my mind at once, so I’m just going to think about Doc Brown from Back to the Future: He was high on intellectualism I’ve never been there, but the brochure looks nice Let’s call these people “mad scientists”. And let’s pretend we once again took up our job of being primatologists, and snooped on these folks “in the wild” (“in the lab”? this is beginning to get recursive…)… what would we find motivating them? Asking simple questions, for one. (What is space? What is society? What is a human? What is language?) Building general schemes (big theories) that hold lots of evidence together. Finding their place in the cosmos. And (perhaps above all) seeking certainty. Once again, Egan suggests we use these as tools to remake the curriculum. From dry to daring What could a high school curriculum look like, if it were rebuilt on these tools? Once again, Egan has a trick. This time, it’s to ask what fights have driven the development of each of these fields forward — and how we can help students enter them. First, a mini-segment! Intellectuals invented the academic disciplines to better pursue the life of the mind, but the disciplines can get in the way. Some of the most important intellectual discoveries that could help students are too big to fit into any of the disciplines. We need a place to introduce them plainly. Egan proposes another mini-segment — again, just 15 minutes a day, a few times a week — called “Metaknowledge”. Q: Isn’t that already in the International Baccalaureate program? Yes, he acknowledges that he’s borrowing from that! This segment would introduce ideas that would enrich student thinking across the disciplines: game theory, cognitive biases, systems thinking, Bayesian reasoning, epistemology, ethics, logic, cultural evolution, and so on. High school literature How can we help students enter the big fights of literature? Intellectuals of a literary bent — professors, critics, poets, novelists — delight in arguing over literature like rabbis arguing over the Talmud. Take, just for one example, the debates over Shakespeare’s character of Ophelia. Does she love Hamlet, or is she a victim of his emotional abuse? Is she truly insane, or is she acting? Is she passive, or is she pulling the strings? Oceans of ink have been spilled arguing over questions like these; our students can, perhaps, spill a few ounces more. The usefulness of arguing literature, for Egan, isn’t that it’s oh-so important for educated adults to know a lot about Ophelia. (This, again, was where the academicists went wrong — in thinking that being educated was about getting the best knowledge in your head.) Rather, arguing over literature is a training arena for the all-important intellectual move of this kind of understanding: building general schemes out of evidence, and struggling with anomalies. One person, for example, might hold that Ophelia is insane, and cite all sorts of obvious evidence — her father just was murdered by her lover, she rants nonsense while (bizarrely) handing out flowers to friends… But then he’s challenged when he reads a scholar pointing out that, to people in Elizabethan England, types of flowers have symbolic meanings. How does he deal with that? He could ignore it, claiming it an over-reading of Shakespeare. (Sometimes a flower is just a flower!) Or he could address it, complicating his own scheme. This intellectual work is best done with other people, who are incentivized to challenge your understanding of something, and go back and forth, building competing models and calling attention to anomalies. This process — the “dialectic” — pops up again and again in the academic disciplines. It’s the center of how understanding works, at this stage. And the nice thing about practicing it on literature is that, more so than in history or science, the evidence is shared knowledge — it’s right in front of everyone, written out. But there are other ways literature class can be helpful to the general life of the mind. Egan also suggests that we’ll want to specially include literature that helps students understand complex ideas. Camus, Orwell, Borges, Calvino might be particularly helpful here… and I imagine that genres like science fiction and magical realism might be particularly useful, too. (Note, though, that once again none of this requires a radical remaking of the curriculum, or of the canon of texts that we traditionally assign to high schoolers.) Q: Oh yes, the canon — what does Egan have to say about the canon wars? When he wrote Educated Mind in the nineties, the long-brewing canon war was approaching its inevitable apocalyptic climax. On one side of this Plain of Megiddo were the pro-canon traditionalists, arguing that we should keep assigning the texts that had been argued over for centuries. Facing them were the anti-canon reformers, arguing the standard texts over-represented the perspective of dead white men. Onto the middle of the plain rides Egan on a white horse, who bellows above the din: “I’VE GOT A BUSLOAD OF HIGH SCHOOLERS WHO WANTS TO JOIN IN, EVERYONE OKAY WITH THAT?” To do so, he says, we need to give students the arguments from both sides. So, for example, bell hooks, Edward Said, and China Achebe should be on the syllabus, as should Allan Bloom, Mortimer Adler, and Diane Ravitch. And of course they should actually read the texts cherished by both sides, too, so they can argue better. High school history How could entering the big fights help us reinvent high school history? First, we might look for dueling histories. It’s time for students to get into historiography and understand that history isn’t just what happened, it’s something we make. We might help kids read chapters from Howard Zinn’s socialist history of America alongside the corresponding chapters from Paul Johnson’s conservative history of America. How could big questions help? We want to help students see how various people have disagreed over some of the big questions of what human history is, at its most basic. We can have them compare Steven Pinker’s theory of civilization’s progress (Better Angels of our Nature) with Yuvah Noah Harari’s theory of civilization’s woes (Sapiens). We could have them compare so-and-so’s account of human history as an ever-expanding unlatching of energy sources with Robert Wright’s account of human history as unlatching more and more positive-sum games (Nonzero). What role could the lure of certainty play? To help them grow their skills at finding anomalies, we might help them work through pseudo-histories and conspiracy theories. Q: Conspiracy theories! Oh, come now, you’re playing with fire. Well, the world is on fire. Our students will spend the rest of their lives encountering terrible-but-beguiling arguments about how the world works; if we don’t prepare them for those, what have we been doing? So we should introduce arguments that the Moon landing was a hoax, that the Illuminati founded America, that aliens built the pyramids, and so on. At no point can we demean students for falling for any of these theories — the job of a teacher at this stage, Egan writes, is to support students in their reasoning even when their beliefs are offensive and stupid, gradually offering anomalies. There’s no way out of bad theories except through them. By the time students graduate, we want them to have wrestled with terrible ideas and — for a while — lost. They need to experience what it’s like to change their minds about something they felt strongly about. They need to viscerally realize, in Feynman’s famous phrase, “The first principle is that you must not fool yourself and you are the easiest person to fool.” High school natural science How could entering the big fights reinvent high school science? At present, so much of the high school science curriculum — especially “honors” classes — is oriented toward helping amass details. (The same is true of 100-level university classes, which famously “survey” the field to prepare for more advanced studies. I always thought this was stupid — of the huge lecture hall of students in my Geology 100 class, how many went on to take even a second course?) The meaty debates that propel science forward are held back. Egan complains: “The more general and speculative theories in any discipline are treated like an unconventional and disreputable relation who, even though the children find her exciting and entertaining, must be kept hidden from view, her very existence denied as long as possible”. This is a stupid approach — students with an adventurous bent are convinced that science isn’t for them. Egan proposes, simply, that we flip this, and organize high school science classes around the big debates. We shouldn’t be ashamed at how, well, adolescent this might look: “the dramatic, speculative, and contentious theories will be up-front in the early years of the [high school] curriculum”. What might those be? Egan doesn’t give a list, but we can spitball some: instead of explaining what “matter” is from the top down, a physics class could problematize “matter” by following the debates over the nature of dark matter and dark energy, and by becoming familiarized with the various interpretations of quantum mechanics
Blackfishing

Blackfishing is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 29, 2022 and September 29, 2022. The archive places it in contexts such as "experiment with racial performance by way of Blackfishing". It most often appears alongside 1 Kings 10-11, 2008 Democratic National Convention, Adam Scheffer.

Reference entry
Blackfishing
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1
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1
First seen
September 29, 2022
Last seen
September 29, 2022
September 29, 2022 · Original source
It’s the performative yet relatively ephemeral space of social media, where a controversial photo can be quickly posted then deleted, that Ayanna Thompson argues has provided an environment especially ripe for the Kardashian-Jenner sisters—with their combined social media audience of 771 million followers—to experiment with racial performance by way of Blackfishing, which Ayanna Thompson sees as following in the racist tradition of Blackface minstrelsy.
blackjack

blackjack is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 14, 2021 and May 14, 2021. The archive places it in contexts such as "table games like poker, blackjack, and roulette". It most often appears alongside Addiction by Design: Machine Gambling in Las Vegas, Amazon, American Gaming Association.

Reference entry
blackjack
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1
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1
First seen
May 14, 2021
Last seen
May 14, 2021
May 14, 2021 · Original source
But machine gambling is not like other kinds of gambling. The book overflows with metaphors straining to describe how machine gambling is the supercharged version of table games like poker, blackjack, and roulette. Machine gambling is deforestation ruining the rainforest of diverse table games. Machines are invasive kudzu outcompeting and killing the native table games. Machine gambling is the crack cocaine to table games’ cocaine.
Blackshirts

Blackshirts is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 10, 2022 and October 10, 2022. The archive places it in contexts such as "80-odd years of Blackshirts being non grata in the US". It most often appears alongside 9-11, Adraste, America.

Reference entry
Blackshirts
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1
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1
First seen
October 10, 2022
Last seen
October 10, 2022
October 10, 2022 · Original source
They may win or lose on the statue or Columbus Day in the long run (the statue at least hasn’t yet been returned) since there are competing interests at play. But their fervor clearly isn’t casual. And if 80-odd years of Blackshirts being non grata in the US hasn’t led to a deal renaming Balbo Drive after Monteverdi or something, I’m guessing it’ll be a while before the rather newer turn against Columbus makes a dent in their enthusiasm.
Blade

Blade is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 16, 2024 and August 16, 2024. The archive places it in contexts such as ""New Line picked up Blade"". It most often appears alongside 20th Century Fox, Abomination, Abomination.

Reference entry
Blade
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1
Issue count
1
First seen
August 16, 2024
Last seen
August 16, 2024
August 16, 2024 · Original source
Given Marvel Comics, why Silver Age (1961-1965)? I.a. Why Superhero Comic Books? The winner of last year’s Astral Codex Ten book review contest was Brandon Hendrickson. Brandon wrote about Kieran Egan’s The Educated Mind. One of the foundations of Egan’s educational philosophy is that people learn through stories. He believes early education should focus on teaching lessons through myths and legends. This matches my experience. My kids’ favorite podcast is Greeking Out – a very well produced, very entertaining, National Geographic podcast about Greek Legends. Aside #1: When my oldest daughter was three years old she would ask everyone she met “Do you know any myths? Can you tell me a myth?” She especially liked asking people from different places to get myths from their local cultures. Once, she asked the question to a friend of mine who grew up in South Africa, “Can you tell me any South African myths?” He struggled for a minute and then said, “Okay! I have one! Bread never falls butter side down!”. That was not the type of myth she was looking for; nor the type of myth we will be discussing in this review. Every culture has foundational myths. These stories are entertaining and engaging, but they also teach valuable lessons about both what is important in that culture, and how people in that culture are expected to behave (or at least the Platonic Ideal of how they should behave). In the modern, Western world, we have assimilated many of these foundational stories, particularly the Greek myths. My kids definitely know the Greek myths, but they also know elements of Norse mythology, Egyptian myths, stories about Anasi from West Africa and more. More fundamentally my wife and I, while not religious ourselves, have made a point of exposing the kids to the stories from the Bible. It is not politically correct to call Biblical stories “myths”, but they serve the same purpose – shared cultural understanding of the way the world works. My wife grew up without any religion, and when she was in high school, she struggled with the metaphors and religious allegories that were omnipresent in most of the Western canon. In our culture, familiarity with the Bible is important for an educated person – whether they are religious or not – because it is the foundation of so much of the rest of our culture. I believe the other set of mythological stories that are foundational to our culture are – and by this point I am sure you see where I am going here – comic book superheroes. If true, then having more than a surface-level understanding of the most important superhero stories is important in a similar way to that knowing the Bible stories is important. “Do unto others as you would have them do unto you” is an important idea to understand. So is, “With great power comes great responsibility”. I.b. Why Marvel? While there are many independent superheroes that are not owned by major conglomerates, the superheroes who have built our modern foundational myths are currently owned by two corporations. Warner Bros. Discover owns the DC library of superheroes including Superman, Batman and Wonder Woman. In 2009 Disney purchased Marvel Comics and took ownership of their characters, including Spiderman, X-men and the Avengers. Aside #2: Marvel has sold temporary film rights to many of their characters over the years. The most relevant sales started in 1994 when Marvel sold the film rights of X-men and mutants to 20th century Fox, then in 1996, when Marvel went bankrupt, Fox picked up the rights to the Fantastic Four (and New Line picked up Blade). In 1999 Marvel sold the film rights (and live action TV, and animated TV longer than 44 minutes) of Spider-man and related characters to Columbia Pictures (part of Sony) for $7MM. Marvel actually attempted to sell ALL of their remaining Marvel IP film rights to Sony for $25MM, but the top management at Sony was not interested. Sony’s management allegedly told their chief negotiator “Nobody gives a shi*t about any of the other Marvel characters. Go back and do a deal for only Spider-Man). Disney acquired Marvel in 2009, and then Fox in 2019, bringing the two separated packages of characters all back together under one roof (Blade reverted back to Marvel in 2012). Sony still owns the rights to Spider-man but has made a deal with Disney to include some of his films within the Marvel-Disney universe. Marvel sold the film rights of The Hulk to Universal in 1990 and the current status of that agreement is complicated (the consensus is that Marvel now controls the film rights to the character, but Universal owns distribution rights to any stand-alone Hulk film, which could be why Disney let's Hulk co-star in Thor movies, but not vice versa). In the early aughts Marvel wanted to build their own film franchise, but were limited to only using their remaining “B-list” characters – Spider-man, X-men, and the Fantastic Four were all off limits. Fortunately, Kevin Feige, president of production for Marvel at the time, saw a way forward. He convinced Ike Perlmutter, Marvel CEO, to allow for the production of a series of films with the remaining characters begining with Iron Man (2008). Jon Favreau directed and cast Robert Downey Jr as Tony Stark. The film blew away expectations. Kevin’s plan of a series of movies where the characters would interconnect was suddenly feasible. Iron Man was followed by The Incredible Hulk, Thor, and Captain America: The First Avenger. None managed the box office magic of Iron Man, but all were successful enough that the plan stayed on track. In 2012 the characters were all brought together in the first Avengers film, which opened to over $200MM domestically and went on to gross more than $1.5B (which made it the 3rd highest grossing film of all time). Marvel became the first studio to take the interconnected world of their comic books and make the model work on the big screen (for a much larger audience). Once the model was proven to work, other studios tried to duplicate it. Aside #3: Warner Bros’ stumbles with the DC shared universe of Batman, Superman and the Justice League are well known, but that was actually their SECOND attempt at a shared universe. Their first attempt tried to copy the Marvel method more closely. They chose their own B-list hero and set up his first film to allow for a wider mythology. Alas Green Lantern (2011) failed at the box office and we never got stand-alone films about Sinestro (Yellow Lantern), Carol Ferris (Star Sapphire, the Violet Lantern), John Stewart (African American Green Lantern), Kyle Rayner (1990s Green Lantern), Alan Scott (original Green Lantern), or the Blue, Red, and Orange Lantern Corps. At least so far, no studio has successfully created anything with close to the traction obtained by the Marvel Cinematic Universe (MCU). Warner’s DC Extended universe (DCEU) had trifling success, but is being shelved and rebooted for a fresh attempt next year. Universal’s attempt at a “Dark Universe” kicked off with Tom Cruise in The Mummy (2017), but was dead on arrival. Paramount’s attempt to link the Transformers Universe to GI Joe at the end of Transformers: Rise of the Beasts has been appropriately mocked. Sony’s Spider-man films linked to the MCU have been very successful, but their attempt at a stand-alone non-MCU Spider-man universe using Spider-man’s villains as anti-heroes has floundered (mostly succeeding only as a source of memes). Next Mattel will be attempting to build a universe off the success of last year’s Barbie and may include Polly Pocket, American Girl, Hot Wheels, and He-Man and the Masters of the Universe (no word yet on Thomas the Tank Engine, View Master and the Magic-8 Ball, but all are apparently in development). To date, only Marvel has successfully built a “Cinematic Universe”. One potential reason for the MCU’s success is that Kevin Feige built his cinematic universe on the back of the existing interconnected universe of the comics. But those comics were not the first interconnected universe of stories. For that we would need to go back to our foundational myths. The Bible stories mostly interconnect. Adam and Eve flows into Cain and Abel. David and Goliath leads to the Wisdom of Solomon. Greek Myths DEFINITELY interconnect. Supporting characters in one Greek myth have starring roles in their own stories. The Greek pantheon of tales even have their own version of the Avengers. In the Quest for the Golden Fleece, Jason brings together the Argonauts, who included in their number Theseus (who defeated the Minotaur), Orpheus (who braved the underworld) and Hercules himself – all A-list stars in their own “franchises”. Stand alone stories that exist within an interconnected universe are rare in modern media but were common in the ancient myths that have stood the test of time. Only Marvel has successfully created a shared universe that follows the pattern of ancient myths. Only Marvel films have stand-alone stories and protagonists who exist together in an interconnected world. Something about that method of storytelling is deeply pleasing for humans across many cultures. Marvel films are the first and most successful modern version of the mythological universe, and that it is worth spending more time exploring Marvel’s underlying mythology and where it came from. I.c. Why 1961? The origins of Christianity and Judaism (and Buddhism and Hinduism) are very murky. Even Islam is far enough in the past that we only have a very rough understanding of how it came to exist. When scholars want to understand in detail how a new religion is born they are far better to look at Mormonism or, if you accept it as a religion, Dianetics. Similarly, we have versions of Greek myths that have been passed down to us, but we can never know how those myths changed from their first telling to their “final” versions. Were the stories once unrelated, and only later became crafted into a single “universe”? Or were the stories built off each other one by one (“Dad that Golden Fleece story was amazing! Do you know any other stories about the Hercules guy?”)? Or was it something in between? Perhaps the stories all existed independently, but were later crafted together (“Remember that 12-labors story I told you? Actually that was the same guy who was on the Argo!”) Unlike Greek legends, we can know the origin of the Marvel Universe. We can see how it was constructed step-by-step. The people who did it (most importantly Stan Lee, Jack Kirby, and Steve Ditko) are dead now, but they have not been dead for long. We can read the original work, see how it changed over the last 60 years, and we can ask the creators “what were you thinking at the time” (or at least read their answers from old interviews). We can’t always trust what Stan Lee says, but at least we can hear his point of view. No one has a transcript of an interview with Homer, or knows exactly what he was thinking when he called it the “wine-dark sea”. Tl;dr: Why read about Marvel Comic superheroes 1961-1965? Because interconnected mythological stories are very important to cultures, Marvel is the leading contender of the most recent modern mythology, and it originated in the first half-decade of the 1960s. II. How did Marvel Superhero Comics happen? Timely Comics published their first comic book in 1939 and called it “Marvel Comics”. Their most popular World War II comics included Captain America, the Human Torch (an android unrelated to the modern Human Torch except in powers, appearance and name), and Namor, the Submariner. In the early 1950s superheroes became less popular, so Timely changed its name to Atlas Comics and focused on humor, western, horror, war and science fiction stories. But in 1956 DC Comics began re-introducing their Golden Age superheroes and, in the second half of the 1950s, the genre took off again – particularly Superman, whose title, Action Comics, became the number one selling comic in America. Stan Lee, editor and chief at Atlas at the time, wanted to get in on the superhero action. Unfortunately in 1957 Atlas lost its distributor and the company had to rely on “Independent News” to get its comics on newsstands. The complication was that Independent News was owned by “National Periodical Publications”, who also owned DC-comics and did not want Atlas to introduce superheroes to compete with Superman, Green Lantern and the Flash. Independent News agreed to distribute Atlas comics but limited the publisher to eight titles per month, and only in non-super hero genres (like horror, romance and science fiction). Blocked from creating and launching new superhero titles, Stan Lee got creative, and in August 1961 Atlas Comics published Fantastic Four #1. Aside #4: Fantastic Four #1 was on newsstands in August 8th, 1961, but the date on the cover was November 1961. The convention at the time was that the cover date was not the “publication date” but rather the “pull date”. The pull date was the time when the retailer could send back unsold copies back to the publisher for a refund. In fact the retailer did not need to send the entire issue back, just the cover, as it was assumed that comic books could not be sold without the cover, and it saved on postage. This was only relevant because it was great for my dad who was a child at the time. My dad was friends with the kid whose father owed the local pharmacy which meant he had access to every comic book published in the late 1950s as long as he was willing to wait a few months and read it without a cover. Going forward in this essay I will always use the pull dates rather than the publication dates for individual comic book issues as they are far easier to source. If you want to convert pull dates back into publication dates you can subtract roughly two months, but it is inconsistent and sometimes longer, as was the case with Fantastic Four #1. Check out the cover of Fantastic Four #1: To the modern eye this certainly looks like a superhero comic. Four heroes with super powers fighting a giant monster. But in the eyes of publishers in 1961 this looked more like a science fiction adventure comic than something that would go head to head with Superman. Here are the covers of Action Comics (the best selling superhero comic at the time) from the three months leading up to Fantastic Four #1: Notice what they have in common? “Super Rivals”, “Super revenge”, “Super Substitutes”. And all include Superman in his blue and red tights. Fantastic Four’s cover featured super powers, but never used the word “super” and no one was wearing superhero costumes. Fantastic Four, as a superhero story, slipped under the radar because it wasn’t really a superhero story at all. It was a story about four close friends who attempted to fly into space, but then something goes wrong and they crash back to Earth. The experience changes them and they decide they now need to use their new abilities to help the rest of humanity – specifically against monsters who are invading from under the Earth. It is a fantastical science fiction story – not a superhero story. Later in his career Jack Kirby, the illustrator of the issue and co-creator of the Fantastic Four, was asked about his inspiration for the Fantastic Four heroes. He did NOT say Superman – or any superhero. He said Challengers of the Unknown. Challengers of the Unknown was an adventure story co-created by Kirby in Showcase #6 in February 1957. Here is how Wikipedia describes the Challengers origin: When acquaintances miraculously survive a plane crash unscathed, they conclude that since they are "living on borrowed time" they should band together for hazardous adventures. The four—pilot Kyle "Ace" Morgan, daredevil Matthew "Red" Ryan, strong and slow-witted Leslie "Rocky" Davis, and scientist Walter Mark "Prof" Haley—became the Challengers of the Unknown. Showcase #6, and the first appearance of the Challengers of the Unknown, by Jack Kirby Visually the Challengers and the Fantastic Four were similar. Both wore skin tight uniforms with belts and minimal decoration. The Fantastic Four’s relatively simple characterizations were practically pulled from Challengers. Reed takes on the traits of both Kyle, the leader, and Walter, the scientist. Johnny, the Human Torch is the daredevil. The Thing is “strong and slow-witted”. Sue, the only woman on the team, seems like a new addition, but is likely based on June Robbins who joined the Challengers team in Showcase #7, as an “honorary” or “girl-Challenger”. After surviving their respective “miraculous” crashes, both the Challengers and the Fantastic Four band together to help the world. They both travel through space and other dimensions, fighting mad scientists and monsters. The Fantastic Four’s early antagonists were not traditional super villains. In the first few issues they fight monsters from under the Earth (Issue #1), shape changing aliens (#2), and a charlatan who uses hypnotism to steal from his audience (#3). In issue #4 Kirby and Lee re-introduce Namor, the Submariner, one of Marvel’s top IP from the 1940s, and have him kidnap Sue. Only in Issue #5 and #6 (June and August 1962) and do we get a more standard-supervillain when Dr Doom attempts to steal the Fantastic Four headquarters and throw it into space. The next superhero Lee created was even less heroic than the Fantastic Four. In April 1962 (pull date), Marvel published The Incredible Hulk. If it was even a superhero story in disguise it was a very good disguise. The story was a scientific-filtered version of Dr Jekyl and Mr Hyde. It was a pure monster-story with nothing very super about it. Nothing on the cover suggests this has anything to do with superheroes: It is not clear if even Lee at the time thought the Hulk would be a superhero. In Fantastic Four #5 Johnny is reading a “great new comic mag” and mocks the Thing by comparing him to the Hulk. It seems pretty clear at this point that in the Fantastic Four’s world, the Hulk is just a fictional comic book, like in ours (more on that later): The other two superheroes the Marvel introduces in this period have even more subtle introductions. At the time Marvel had a number of generic-sounding titles and told science fiction and fantasy stand-alone stories: Tales to Astonish
Blank Slate

Blank Slate is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 03, 2025 and July 03, 2025. The archive places it in contexts such as "wrong-headed Blank Slate views". It most often appears alongside 23andme, @alextisyoung, Aborigines.

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Blank Slate
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July 03, 2025
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July 03, 2025
July 03, 2025 · Original source
I'm going to gently push back against the hereditarian/anti-hereditarian framing (which I understand is probably here as shorthand and scene setting). I am personally interested in accurate estimates that are free of assumptions. I believe twin study estimates are of low quality because the assumptions are untestable, not because they are high. I also think the public fixation on twin studies has created some real and damaging anti-genetics and anti-psychiatry backlash and wrong-headed Blank Slate views. People hear about twin studies, look up the literature and find that peanut allergy (or wearing sunglasses, or reading romance fiction) is estimated to be highly heritable and have minimal shared environment, start thinking that the whole field is built on nonsense, and end up at quack theories about how schizophrenia is actually a non-genetic fungal condition or whatever. I've been very clear that there are direct genetic effects on essentially every trait out there, including behavioral traits and IQ. If someone were to run a large-scale RDR analysis of IQ tomorrow and got a heritability of 0.9 and it replicated and all that, I would say "okay, it looks like the heritability is 0.9 and we need to rethink our evolutionary models". If anything, large heritability estimates would make my actual day job much easier and more lucrative because I could confidently start writing a lot of grants about all the genome sequencing we should be doing.
Blazing Sky Paradox

Blazing Sky Paradox is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 28, 2022 and July 28, 2022. The archive places it in contexts such as "the worst prediction of the old paradigm*: the Blazing Sky Paradox / Olbers' Paradox". It most often appears alongside 1970s World Bank initiatives in Lesotho, Alex, archpawn.

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Blazing Sky Paradox
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July 28, 2022
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July 28, 2022
July 28, 2022 · Original source
This isn't even the worst prediction of the old paradigm*: the Blazing Sky Paradox / Olbers' Paradox. The universe was thought to be infinitely large and infinitely old and that matter is approximately uniformly distributed at the largest scales (Copernican Principle). Any line of sight should eventually hit a star. Work out the math and the entire sky should be as bright as a sun all the time. This contradicts our observation that the sky is dark at night. This paradox was eventually resolved by accepting that the age of the universe is finite, as described by Lemaitre's and Hubble's Big Bang Theory.
Blessed Virgin

Blessed Virgin is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 01, 2025 and October 01, 2025. The archive places it in contexts such as "others declared that they saw the smiling face of the Blessed Virgin Herself". It most often appears alongside 1910s Portugal, 1999 British eclipse, 2017 US eclipse.

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Blessed Virgin
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October 01, 2025
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October 01, 2025
October 01, 2025 · Original source
Immediately afterwards the people asked each other if they saw anything and what they had seen. The greatest number avowed that they saw the sun trembling and dancing; others declared that they saw the smiling face of the Blessed Virgin Herself; they swore that the sun turned around on itself as if it were a wheel of fireworks and had fallen almost to the point of burning the earth with its rays. Some said they saw it change colors successively.
…unfortunately a 25 mile circle centered on Merate includes the city of Milan, population 1.1 million, which produced no reports of unusual solar activity. And Milan had clear line-of-sight to Ghiaie and Merate, and so probably better viewing conditions than Tavernola, which (you can see from the map above) has some intervening hills. Might the miraculous light source have been like a spotlight, aimed in only one direction - that is, east to Ghiaie and Tavernola, but not southwest to Milan? This would contradict Dalleur’s Fatima analysis, since one of the most dramatic testimonies comes from the city of Minde, which is on the opposite side of the presumed light source from Fatima. I don’t really think it’s possible to maintain a theory where this phenomenon gets transmitted through normal geography. 3.2: Mary Such Cases At this point, the reader will get the general idea, and we can start moving faster, as there is a large amount of ground to cover. Heroldsbach, Germany, 1949: The Virgin appeared to four young girls. Rumors spread, crowds gathered, and on December 8th, 10,000 people saw another sun miracle. Here are about a hundred testimonies, gathered with typical German thoroughness. An expert meteorologist brought in to investigate summarized them as follows: If one now considers the testimony in detail, one encounters a surprisingly small agreement of the observations made. One witness has seen a red sun, the other a yellow, an orange or pink with blue and green, or a whitish sun. A silver one was also observed or all the colors mentioned in colorful change. One wants to have observed an oversized, the other a first small or normal, but then rapidly enlarging and rushing towards the viewer in a frightening way. Most of the witnesses noticed that the solar disk rotated very quickly in two or three phases of rotation for about a quarter of an hour. The Catholic Church condemned the apparition and miracle as fake, even going so far as to excommunicate the child-seers. Later they relented slightly and un-excommunicated them, but their official position is still that nothing supernatural happened - this sun miracle was merely an overly enthusiastic hallucination! Necedah, Wisconsin, USA, 1949: A housewife named Mary Ann Van Hoof claimed to have seen the Virgin Mary. This is among the less plausible visitations: Van Hoof, who was raised Spiritualist, also claimed to have seen Joan of Arc, George Washington, and Abraham Lincoln. The messages she channeled seemed less like tidings of peace and love than like a particularly unhinged Truth Social post, and included warnings about the Rothschilds. Still, rumors spread, crowds gathered, and on August 15 1950, 50,000 - 100,000 people showed up hoping for a miracle. As for what happened next, Wikipedia says that “witness accounts vary significantly”. WaPo says that “observers saw nothing unusual” and LIFE mentions nothing out of the ordinary. But other sources report sun miracles, and I was eventually able to track down three testimonials in a summary of articles from a local newspaper, which states that “after a rainy morning…”: It was about noon when Van Hoof came out of the house and a woman screamed, “By God, it’s really true,” and fell to her knees. Then it happened that the Rapids woman and so many in the crowd saw the sun, covered with a dark, greenish gray disk, spinning down toward the earth. And she testified, “I thought the end of the earth was coming and fell to my knees.” A Pittsville woman also described the sun spinning closer to the earth. “I and many other people, fell to our knees in awe.” The Daily Tribune visited the Oct. 7, 1950, event — a 25-minute “last” message from the Mediatrix to the “throng” of 50,000. Responding to this seventh vision, gasps were heard from women who again saw the sun behaving oddly. A Catholic priest told reporters he saw the sun whirl clockwise and jump. The Catholic Church condemned the apparition as fake, and declared van Hoof’s followers “a cult”. Lubbock, Texas, USA, 1988. Really? Really? Nothing could be more natural than for the Queen of Heaven to appear to kind-hearted shepherd children in Portugal. Even an appearance in war-torn West Germany makes a certain amount of sense. But Lubbock, Texas? I suppose this must have been how the cool Sanhedrin members felt when they learned the Christ hailed from Nazareth. But that doesn’t make it any better. Anyway, rumors spread, crowds gathered, and on August 15, 1988, about 10,000 people witnessed the Miracle of the Sun. Here is an indirect testimonial, a man describing his wife’s experience: A large crowd had gathered outside Saint John Neumann Church on that very hot August afternoon on the Feast of the Assumption. Mass was being said in the afternoon, and around the time of the Consecration, suddenly her cousin’s wife (a convert, if you remember) said “look at the sun”. When she did, the sun was pulsating, it would look like it was coming down to earth and then go back again, it spun around in circles, much the same as what took place in Fatima in 1917...and changed colors. She looked at it directly for 15 minutes or so without any damage to her eyes. As my wife looked around, the people in the crowd seemed to be bathed in various colors. During all this my wife even saw The Blessed Mother. The Blessed Mother was extending her arms in what appeared to be a welcoming gesture. But not everyone had the same experience that day: her cousin’s wife and our son saw and believed instantly, but her cousin and brother saw nothing at all. Why did some see these events and others did not? We don’t know...not enough faith? Or perhaps they had enough faith, and they didn’t need a sign! Here we have something special: according to the Los Angeles Times, one pilgrim took a poll about who saw what: A push was on to assemble evidence for the commission in a lawyerly way. Testimonies from 247 people present at the feast had been recorded. The statements were transcribed by volunteers and stored in a computer. Joe James himself indexed the information: 186 had witnessed the spinning of the sun; 75 had seen the Virgin; 64 Jesus; 18 an angel. How could anyone ignore the bulk of such documentation? We don’t know how the 247 people were selected, but very naively it seems like 2/3 of those present saw the sun spinning. This also matches the first person listing 2/4 family members. (the Catholic Church withheld judgment, refusing to either endorse or condemn the visions) Benin City, Nigeria, 2017. On October 13 2017, crowds gathered around the world to celebrate the 100th anniversary of the Fatima miracle. One such commemoration happened in Benin City, Nigeria, where 30,000 people attended the National Marian Congress and witnessed the re-dedication of Nigeria to Mary’s Sacred Heart. As the speakers commemorated the Fatima event . . . . . . someone pointed to the sky and shouted “It’s happening again!”. It was, indeed, happening again. You can read about ten testimonies here. I’ll quote just one, from Brother Joseph Obiemeka Azih: Immediately after the 3:00 p.m. Divine Mercy prayers, there were brief showers of rain. Then came sudden brightness of the sun, which was hitherto hidden behind layers of dark cloud. We also observed rather surprisingly the mysterious shooting of the sun forward and backward. Intermittently emitting of powerful bluish and golden colors of light from “Our Lady clothed with the Sun.” The sight was indescribably beautiful. We were busy staring at the bright sun steadily for more than twenty minutes without blinking an eye even for a second! People around us were dazzling and reflecting these bluish and golden colors on their dresses and faces. What a mystery! More than 30,000 people inside the arena were seen peering at “the dancing of the sun” bewildered. The miracle lasted for more than 45 minutes after which there was [a] heavy downpour which the Bishops present said [were] “showers of blessing.” I was able to confirm that some of the people whose testimonies were listed on the site are real Nigerian Catholics whose existence is attested in other sources. Two weeks later, there was another Nigerian commemoration of the Fatima anniversary, in Lagos, and a sun miracle happened at that one too. 3.3: Made You Gaze At Medjugorje Medjugorje (Bosnia, 1981) is in many ways a typical Marian apparition site, much like the ones on the list above. Child-seers, warnings to repent, sun miracles, you know the story by now. But in Medjugorje, the miracles keep happening. Pilgrims - or, more cynically, tourists - go there just to see the sun miracles, and many come back satisfied. You can find blogs by people who went to Medjugorje hoping to see a sun miracle, and on their first or fifth or eighth or whatever day, there’s a crowd of people, yelling and pointing at the sun, and they look up and see it too. Here’s an account from Catholic blogger Father Dwight Longernecker: I was an Anglican priest living in England, in 1985 when I was invited by a group of Anglicans and Catholics to visit Medjugorje. I didn’t want to go. Being a former Evangelical-fundamentalist I wasn’t too keen on apparitions of the Blessed Virgin. I opted out. They insisted. I dug in my heels. They said someone else would pay for it. I didn’t want to go. They cajoled and twisted my arm until I said ‘yes’ [...] On our second day there I sat on the balcony of our guesthouse with a large woman named Eleanor. As we began the rosary I looked up and the sun was a blaze of light in the sky. I looked down to the car parked below and the sun was reflected in the hood of the car as a blaze of light. Eleanor and I prayed the rosary together. I had my eyes closed. At 6:20 Eleanor gave me an elbow in the ribs and pointed. The sun was now a disc of white light in the sky like a Eucharistic host. Then as I watched it began to spin, first clockwise then anti clockwise. Sparks spit out from the rim of the sun like a firework. I looked down and the sun was a white spinning disc on the hood of the car. I don’t think this would have happened if it was just my eyes playing tricks on me. Plus, Eleanor saw it too. That’s why she gave me an elbow in the ribs. I am not sure how long this lasted, but when we spoke about it to our fellow pilgrims they said many people in the town square had reported the same phenomenon. Some of these tourists capture the phenomenon on video. Unfortunately, the videos are of three types: Videos of a bunch of people pointing at the sun, and shouting the word “Miracle!” in various languages, and obviously looking extremely excited, but the sun itself looks totally normal, and the person taking the video apologizes and says that their camera isn’t good enough to capture it.
In 1917, three Portuguese children reported a vision of the Virgin Mary. She promised to return to them on the 13th of each month. On the sixth month - October 13th - she would perform a great miracle.
Blind Mode

Blind Mode is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 05, 2024 and March 05, 2024. The archive places it in contexts such as "While the Blind Mode winners were amateurs or completely unidentifiable". It most often appears alongside @wc1766, Adam, Adam Unikowsky.

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Blind Mode
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March 05, 2024
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March 05, 2024
March 05, 2024 · Original source
Here’s how it goes: in January 2023, I asked people to predict fifty questions about the upcoming year, like “Will Joe Biden be the leading candidate in the Democratic primary?” in the form of a probability (eg “90% chance”). About 3300 of you kindly took me up on that (“Blind Mode”).
Then I released the list of 3300 x 50 guesses, and asked people to analyze them with the aggregation algorithm of their choice to produce what they thought was the best possible list. 460 of you took me up on that (“Full Mode”). Then I waited until 2024 and sent everything to Eric Neyman, who’s better at math than I am. He used the Metaculus scoring function to assess everyone’s accuracy. Thanks to Eric (and to Sam Marks, who helped last time around) for taking care of this. II. And The Winners Are . . . For Blind Mode - where you had to rely on your wits alone and couldn’t spend more than five minutes per question - the winners are: Small Singapore gave me no information except this pseudonym and won’t answer any emails. I don’t even know how to give them their prize money. Please email me at scott@slatestarcodex.com if this is you.
Kiran Saini is a training surgeon in Oxford, and has a forthcoming book about core surgical training. He runs an impact-focused charity called OxPal that helps train doctors in Palestine. He says “I have no forecasting experience, but have long been interested in forecasting theory.” And there was also Full Mode, where you could read everyone else’s predictions first, check prediction markets, apply whatever algorithms you wanted, and take as long as you needed. While the Blind Mode winners were amateurs or completely unidentifiable, the Full Mode winners were mostly long-time forecasting veterans. Douglas Campbell is an economics professor, former member of President Obama’s Council of Economic Advisors, and analyst for the Democratic National Committee. He currently runs Insight Prediction, a cryptocurrency-based prediction market. Despite him owning a prediction market, our questions didn’t overlap with his and he gained no advantage from it. He still got the single highest score of anyone in this tournament.
blind spot

blind spot is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 09, 2025 and July 09, 2025. The archive places it in contexts such as "The “blind spot” is an even more famous example". It most often appears alongside AI Alignment, Bronze Age, Byrnes.

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blind spot
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1
First seen
July 09, 2025
Last seen
July 09, 2025
July 09, 2025 · Original source
In the famous “checker shadow illusion”, Square A and Square B are the same color (see here if you disbelieve). Our lower-level brain centers guess that, given the shadowing, our sense-data about Square A must “actually” be produced by a “really” black square, and our sense-data about Square B must “actually” be produced by a “really” white square. Therefore, they “show” “us” a “picture” of Square A being black and Square B being white, even though these aren’t the real colors. The “blind spot” is an even more famous example. The place where the optic nerve meets the eye lacks photoreceptors, leading to a 5-10 degree hole in the middle of the visual field - there’s a medium-sized spot in your vision where you can’t see anything at all. But our lower-level brain centers guess that probably there’s just, you know, normal stuff there. Therefore, they “show” “us” a “picture” of an intact world with normal stuff in the blind spot area - safe enough, unless there’s really an oncoming car. Why did we go through these excruciatingly obvious philosophical preliminaries? Sometimes, two or more models can explain the same data about equally well. For example: This picture can be either a right-side-up staircase (with the blue side in front, and the green side as the back wall), or an upside-down staircase (with the green side in front, and the blue side as the back wall). If you’re like most people, you probably don’t see it as ambiguous. You see one of these as immediately obviously and viscerally true - for me, it’s the right-side-up blue-in-front staircase. Then, if you stare at it enough and move your eyes in weird ways or whatever, it “flips”, so that it’s immediately obviously and viscerally an upside-down green-in-front staircase. (if you can’t do this, try staring at the green part and imagining it gradually moving towards you, out of the computer, while thinking “this is in front, this is in front” really hard - I believe in you!) This kind of picture is called a bi-stable image. You viscerally see your brain’s educated guesses as real. When your brain’s guess changes, your visceral perception changes too. This illusion is usually described as “all the plates are right-side-up except one - when you find it, they will all turn upside-down”. I think that might be fake - they’re all right-side-up, but something about the process of looking for “the upside-down one” can make your brain flip from one model to the other and cause the plates to change sides. I find this is easiest to do looking at the square one in the top center, or the round one just below, but I don’t think that’s because they’re the “actually upside-down one”. If that doesn’t work, try viewing it from about ten feet away from your computer screen, but be careful - you might not be able to get them to flip back to right-side-up again! The train is either going into the tunnel, or coming out of the tunnel. You can make it switch by quickly moving your eyes either left-to-right or vice versa, or by thinking very hard about the train going in or out. This might be the toughest one to flip. If you start by seeing her spin clockwise, try focusing on her central foot to switch directions; if you start by seeing her spin counter-clockwise, try focusing on the reflection of her outstretched foot when it appears. Which of these models - the clockwise dancer, or the counterclockwise dancer - is real? Trick question - neither is real. There is no dancer and no rotation; you’re actually viewing shifting pixels on a computer screen. To belabor the excruciatingly obvious philosophical preliminaries: there is some sense in which our models of the world are very good. They usually correspond to reality exactly the way we think they do. The perception of world-models isn’t a reason for radical skepticism. In another sense - not a very profound one - our models of the world are distorted. For example, they make us see rotation where there are really just shifting pixels. They’re also ambiguous enough to occasionally be bi-stable - sometimes, you can shift from one world-model to another, with an associated change in visceral perception. From Models To Self-Models Just as this is true for external senses like vision, Byrnes says this is true of our internal perceptions - perceptions of things like thoughts, desires, and conscious experience. The “reality” of our inner experience is patterns of neurons firing in response to sensations or other neurons. This is a boring claim, like saying that the spinning dancer is “really” “just” “shifting” “pixels”, but let’s explore it a little more. Sometimes, enough neurons representing similar concepts fire at the same time that they form some kind of temporarily stable pattern that takes over the global workspace. Sometimes, a pattern like this knits together enough concepts to represent a world-state and give positive valence to that world-state. Sometimes, those patterns reach a threshold where they cross over to the motor cortex and activate motor programs elsewhere in the body. If this is the “shifting pixels” perspective, what’s the “looks like a dancer who is spinning around” perspective? “Sometimes, enough neurons representing similar concepts fire at the same time that they form some kind of temporarily stable pattern that takes over the global workspace” → I thought about X “Sometimes, a pattern like this knits together enough concepts to represent a world-state and give positive valence to that world-state.” → I want X “Sometimes, those patterns reach a threshold where they cross over to the motor cortex and activate motor programs elsewhere in the body.“ → I decided to X The “model” that people come up with to explain their inner life is the internal feeling of a separate “self” who reviews and signs off on the decisions of “the brain”. Referring to the philosophical tradition and pictures like this… …Byrnes calls it the “homunculus” (Latin: “little man”). The homunculus (“self”/”me”) is a useful tool for organizing internal experience. For example, if you have a seizure and your arm moves, you can say “I didn’t choose to move my arm - it just moved of its own accord!” (ie the homunculus isn’t doing the moving). If you have some kind of OCD or rumination disorder, you can say “I don’t want to keep having these thoughts about death, they just pop unbidden into my mind” (ie the homunculus isn’t doing the thinking). To actually analyze these situations would require a PhD in neuroscience, but we all understand the visceral experience of being stuck with thoughts that “we” don’t “want” and didn’t “cause”. Overall it’s very similar to the way I described natural intuitive “theory of mind” here: The mind is an imaginary space containing things like thoughts, emotions, and desires. I have mine and you have yours. I can see what’s inside my mind, but not what’s inside your mind, and vice versa. I mostly choose the things that are in my mind at any given time: I will thoughts to happen, and they happen; I will myself to make a decision, and it gets made. This needs a resource called willpower; if I don’t have enough willpower, sometimes the things that happen in my mind aren’t the ones I want. When important things happen, sometimes my mind gets strong emotions; this is natural, but I need to use lots of willpower to make sure I don’t get overwhelmed by them and make bad decisions. Byrnes makes this more concrete with a survey of homunculus beliefs across different cultures. We place the homunculus in the head, which happens to be correct (ie thoughts happen in the brain). But this is kind of a coincidence (or maybe downstream of knowing the real science); other cultures feel like the seat of consciousness is in the heart or the belly, and this feeling is about equally plausible and stable. Meditators say that with enough practice, they can imagine their consciousness being in their head, heart, belly, or outside their body entirely. This is a subtle point (are you starting to see why we went through all the excruciatingly obvious philosophical preliminaries?) There is, in fact, a brain that has thoughts, located in your head. And your visceral experience includes a term for a self that has thoughts and is located in your head. But they’re not exactly the same thing. The trivial differences don’t matter in ordinary cases. But in edge cases, they can get pretty weird. Trance And Spirit Possession Okay, now the fun stuff. Byrnes argues that “homunculus” vs. “trance” are two alternative bistable models for analyzing internal mental experience. The process of going into a trance (or being “possessed” by a spirit) is conceptually similar to the process of switching the dancer from clockwise to counterclockwise. The process goes: Start with a strong background belief that the new model is plausible.
Blitz Spirit

Blitz Spirit is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 28, 2021 and May 28, 2021. The archive places it in contexts such as "We still talk about the Blitz Spirit". It most often appears alongside A Game of Thrones, Africa, African Americans.

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Blitz Spirit
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1
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1
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May 28, 2021
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May 28, 2021
May 28, 2021 · Original source
This turned out not to be true. So spectacularly untrue that we still talk about the Blitz Spirit. With our trademark humility, the British concluded that this was due to our exceptional moral fibre and, with help from the Americans, set about bombing German civilians to hell and back. Regrettably the Germans too responded by pulling together, and working harder in the war effort. Literally no one thinks this was due to their exceptional moral fibre. Instead, it seemed that crisis led to teamwork. Bregman is able to quote similar behaviour on the Titanic, on September 11th and in the aftermath of Hurricane Katrina.
BLM protesters

BLM protesters is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 05, 2022 and November 05, 2022. The archive places it in contexts such as "a bunch of BLM protesters were harassing her in really awful ways". It most often appears alongside abundance liberalism, Alabama, Alfred Twu.

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BLM protesters
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1
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1
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November 05, 2022
Last seen
November 05, 2022
November 05, 2022 · Original source
I generally really like our current mayor, Libby Schaaf. She has generally had good ideas, prevented Oakland from becoming quite as bad as San Francisco, and a bunch of BLM protesters were harassing her in really awful ways for not defunding the police during the George Floyd protests but she stood firm and won my respect / good will. I also like SF mayor London Breed for being a YIMBY and being willing to call out some of the problems with her city. Both of them have endorsed Loren Taylor. Taylor is a biomedical engineer and businessman, which makes it seem like he’s smart and has some experience with the real world that will make him less than maximally socialist. The YIMBYS also endorse him. Generally seems like the best we’re going to get.
BLM protests

BLM protests is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 29, 2022 and June 29, 2022. The archive places it in contexts such as "a very obvious spike around the time the BLM protests start on May 25"; "the 2020 BLM protests". It most often appears alongside Baltimore, Black Lives Matter, BLM.

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BLM protests
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1
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1
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June 29, 2022
Last seen
June 29, 2022
June 29, 2022 · Original source
In my review of San Fransicko, I mentioned that it was hard to separate the effect of San Francisco’s local policies from the general 2020 spike in homicides, which I attributed to the Black Lives Matter protests and subsequent police pullback.
A priori there’s no reason to expect lockdowns and “cabin fever” to hit blacks much harder than every other ethnic group. But there are lots of reasons to expect that the Black Lives Matter protests would cause police to pull back from black communities in particular. I think this is independent evidence that the homicide spike was because of the protests and not the pandemic.
The pandemic hit almost all countries. Although the Black Lives Matter protests spawned some sympathetic demonstrations around the world, they probably most affected police behavior in the US, where there are large black communities.
blood

blood is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2021 and April 09, 2021. The archive places it in contexts such as "The Human body contains blood, phlegm, yellow bile and black bile". It most often appears alongside 1913 Nobel Prize in Physiology or Medicine, Alexandria, Aristotelian.

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blood
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1
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1
First seen
April 09, 2021
Last seen
April 09, 2021
April 09, 2021 · Original source
Centuries went by, but not much changed. Charles Richet, winner of the 1913 Nobel Prize in Physiology or Medicine, said that Galen and “all the physicians who followed [him] during sixteen centuries, describe humours which they had never seen, and which no one will ever see, for they do not exist.” Some of the ‘humors’ exist, he says, like blood and bile. But of the “extraordinary phlegm or pituitary accretion” he says, “where is it? Who will ever see it? Who has ever seen it? What can we say of this fanciful classification of humours into four groups, of which two are absolutely imaginary?”
The Human body contains blood, phlegm, yellow bile and black bile. These are the things that make up its constitution and cause its pains and health. Health is primarily that state in which these constituent substances are in the correct proportion to each other, both in strength and quantity, and are well mixed. Pain occurs when one of the substances presents either a deficiency or an excess, or is separated in the body and not mixed with others.
All disease and illness, in this system, were the result of an imbalance in the four humors. From this perspective, treatments like bloodletting make perfect sense. By opening up the veins, the excessive humors drain away, leaving the patient more balanced — in better humors.
blood brain barrier

blood brain barrier is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 14, 2025 and August 14, 2025. The archive places it in contexts such as "blood brain barrier (BBB)-penetrating antibody". It most often appears alongside A. Bejanin, A. de Calignon, A. Elobeid.

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blood brain barrier
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1
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1
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August 14, 2025
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August 14, 2025
August 14, 2025 · Original source
I am not claiming that the disease is “as simple as” amyloid deposits directly inducing neurodegeneration. As described above, they act indirectly, via the eventual downstream tau pathology, and possibly an associated microglial/astrocytic inflammatory response. Therefore, there are many people in the preclinical, amyloid-only disease phase who will eventually progress to dementia but have not yet. These two clarifications imply that even though amyloid pathology is a necessary and (in enough severity) sufficient cause of the disease under normal circumstances, therapies with other targets might still be effective, either intervening upstream such that amyloid deposits never occur, or downstream so as to prevent the neurodegenerative process. The testable prediction I would bet on the following: A therapy whose sole intended mechanism involves amyloid production or clearance, in a randomized, double-blind, placebo-controlled trial, will, in the next 12 years, achieve a slowdown of cognitive decline of at least 75%, with a p-value below 0.001, in its preregistered primary cognitive endpoint (or an average of all such endpoints if more than one exists). I’d eventually expect better than 75% efficacy, but getting stuff to work takes time, and I wanted to make a prediction which can be tested in a reasonable timeframe. On the other hand, if a clinical trial completes earlier than 12 years from now (perhaps [73], reading out in 2027), sustains extremely good amyloid clearance at the preclinical stage, and has a good safety profile, but doesn’t make substantial progress towards this 75% goal, then I would consider this prediction refuted in advance. For targeting amyloid, I’m most optimistic about a blood brain barrier (BBB)-penetrating antibody such as trontinemab [74–76], but with an epitope more like lecanemab’s, and given in the preclinical disease stage. Other options for targeting amyloid include antisense oligonucleotides for APP as well as γ-secretase modulators. The successes and failures of amyloid antibodies There have now been three amyloid antibodies with positive phase 3 (and earlier) clinical trials on cognitive endpoints (but with much less than 75% efficacy): Aducanumab in phase 1b [77] (19% on my average across cognitive endpoints for the highest two doses) and one of two phase 3 trials [78] (22%, but negative 2% in the other trial, which also gave a lower dose on average).
blood donations

blood donations is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 12, 2024 and July 12, 2024. The archive places it in contexts such as "blood donations spread vCJD". It most often appears alongside 1980s, 1989, 1990s.

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blood donations
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1
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1
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July 12, 2024
Last seen
July 12, 2024
July 12, 2024 · Original source
Yeah. The conclusion DTM drew – and this was a common conclusion at the time – was that homozygosity somehow made you more vulnerable to CJD, and M/M homozygosity made you vulnerable to BSE-borne CJD in particular. We cannot criticise the author for not predicting the future, but we live in the future, and can say how this worked out. Turns out, nope, M/V heterozygotes totally get vCJD. After a British man in his 30s died of CJD in 2016, he was found to have vCJD and an M/V genotype. He was tested for vCJD only because he was exceptionally young for someone with a sporadic prion disease – meaning people developing it later in life would be missed6. Did you know up to 1 in 2000 people in the UK have latent vCJD? There is one line in The Family That Couldn’t Sleep that stopped me dead in my tracks when I read it: What happens to the Italian family in the end depends less on their own actions than on the world’s interest in prion diseases, which they cannot control. If lots of people are afraid of getting variant CJD, the family benefits. If fear of prion disease goes the way of the fear of swine flu or Ebola, then they will be orphaned again. THIS BOOK IS FROM 2006! Three years before the swine flu pandemic! Eight years before the Ebola pandemic! “If you’re looking for a sign, this is it.” --------------------------------------------------------- The last section of The Family That Couldn’t Sleep addresses BSE fears in America and a nascent internet subculture DTM calls “Creutzfeldt Jakobins” – people who track American CJD cases, trying to spot vCJD patterns. When reading his description of the Creutzfeldt Jakobins, my mind constantly, uncontrollably turned to covid. Here it was – an online community of people deeply skeptical about a disease’s official story, tracking every contradiction, every implausibility, every statistic that failed to apply to the individual. Self-described “redneck hippies” and “soccer mom Republicans” teaming up to find the truth hidden behind an impossible world. You know what they’re doing now. I’ve always combined a deep interest in medicine with a healthy distrust for it. People who are constitutionally inquisitive, anti-authoritarian, and suspicious about official narratives tend to end up skeptical of at least some mainstream claims in the field. This is not to say I think you should take bleach enemas or something, just that I understand the impulse behind concluding the US government was covering up a local vCJD wave. Traditionally, sporadic prion diseases are said to have a prevalence of one in a million. (Hold on to that for a second.) The last section of the book is a chronology of Americans finding bizarrely more than one in a million of their friends dying of sporadic CJD, often at inexplicably young ages, sometimes in geographical clusters. This is understandably suspicious. Then DTM goes on to reassure us by saying none of these cases were confirmed to have an M/M genotype, which OH GOD OH FUCK A number of high-profile people in the prion world, including Gajdusek, are clarified as not believing sporadic prion diseases exist. You get the impression DTM doesn’t, either. Now, how common are prion diseases? Eric Vallabh Minikel has an answer for you! Eric and his wife Sonia are prion researchers from a rather unique background – after Sonia was diagnosed as having a single-gene mutation with ~100% penetrance for prion disease, they left their previous jobs to dedicate their lives to curing it. It turns out, when you run the numbers, you get not one in a million but 1 in 5000 people dying of prion diseases. This is best described as “nightmarishly high”. I’m normed on genetic disorders. A genetic disorder that affects one in five thousand people is pretty common! I have known, in person, completely unselected, just from “random people I’ve met in my life in a non-medical context”, someone with a ~1/250k syndrome and someone with a ~1/50k-100k syndrome. I don’t think anyone in my extended family knows someone who died of a prion disease. I feel like it would’ve come up if they did! Prion diseases have distinctive phenotypes. Not distinctive enough, apparently, to avoid a lot of CJD being misdiagnosed as Alzheimer’s – but diagnosis is consistently insane. Something DTM reiterates throughout The Family That Couldn’t Sleep is just what prion dementia looks like. The characteristic dementia in prion diseases spares something – “self” or “recognition” or “reflection” – that is not spared by Alzheimer’s, or by most common dementias. Shouldn’t this be, uh, noticeable?7 They kill rapidly, often over the course of months, and often onset in midlife. ALS shares this pattern and is way, way more common than prion diseases; you hear about ALS far more in the “disorder people actually have” sense. What am I missing here? Anyway: 1 in 2000 prevalence of latent vCJD in the UK + extreme lack of clarity over whether scrapie is human-transmissible + blood donations spread vCJD + sporadic CJD prevalence keeps going up = ??? (Yes, I am annoyed that most countries have lifted their ban on UK blood donors, thank you for asking!) --------------------------------------------------------- But back to the book. The “American chapter” is one-third about the country’s response to vCJD, one-third about the Creutzfeldt Jakobins, and one-third about chronic wasting disease. The last part is the most interesting. Chronic wasting disease is a prion disease of deer. Like scrapie, it “probably, we hope” isn’t human-transmissible (eat venison at your own risk). Under natural circumstances, deer shouldn’t get prion diseases: A prion plague should not be possible among ruminants in the wild. Deer are not cannibals, as the cows that spread BSE were forced to be; and, because deer and elk are not domesticated, they do not have enough contact with one another to spread a prion infection the way sheep are thought to spread scrapie. But deer do not live as they used to live, humans having once again brought their ambitions to bear on the natural course of things. The Family That Couldn’t Sleep is a book of medical anthropology. Anthropology of the Veneto, anthropology of Papua New Guinea, anthropology of 1990s Britain. Here, it is an anthropology of America. Americans, having won the world, still fight to win their own backyard. The North American continent is geographically diverse, cutting through rain-snow-shine, mountains jutting over plains, cities sprawling into wilderness, habitations criss-cross dotted with surprisingly few empty zones. Go somewhere like Denver, the Mile High City, three million people fighting against nature. Few other countries have anything like this; geographically vast polities usually have uninhabitable blocks. Australians are twenty-five million people clustered against the shore. It still surprises me, after all this time, how every US state has a meaningful city8. Midcentury Denver, growing and sprawling out across its mountains, started to run into their natural inhabitants – deer. Starvation is one way nature adjusts the deer population to the available food supply. People did not usually see this process, but in the 1950s and 1960s Colorado became more densely settled, reducing forested areas and forcing deer to look longer and harder for food. At the same time, the state enacted conservation laws, limiting when and where hunters could shoot. Soon emaciated deer began wandering onto the lawns and through suburban streets looking for a meal. People began to feed them, only to find that they died anyway. They would drop dead by haystacks, along highways, and in flower beds. In the late 1960s, a young biologist named Gene Schoonveld tried to figure out why the deer starved even when they were fed.9 He deprived some deer of food for a while, “[h]e cut windows in their stomachs to see what went on inside, and then he began to feed them”. While this was going on, he had a control group of healthy, well-fed deer as backups in case anything went wrong. It did...but not to the experimental group. The pen in which the deer were kept also housed sheep, which, it turned out, were scrapie carriers. The deer somehow acquired scrapie – there’s a huge unanswered question here, which DTM doesn’t address. How did they get scrapie? They didn’t eat the sheep, presumably. Did it somehow transmit from casual contact? This is not supposed to happen. And yet: the deer in the sheep pen started dying of a mysterious scrapie-like disease, one never reported before, that would go on to infect thousands. These deer were released into the wild. Ten years later, the first reports of chronic wasting disease came out. The disease spread across deer and elk in the western half of the country. By the turn of the millennium, cases were exploding – and lost all geographical restriction. DTM can report up to 2005, at which point it was floating around Upstate New York. This kind of spread doesn’t track natural deer migration. That’s irrelevant, because nothing about CWD’s spread is natural. We shift gears into an anthropology of the American hunter. The hunter wants to shoot the most impressive buck, to bag himself one with as many “points” as possible – one whose antlers branch out most. A “ten-point buck” has five branches on each horn: Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
blood flukes

blood flukes is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 17, 2021 and November 17, 2021. The archive places it in contexts such as "blood flukes, liver flukes". It most often appears alongside ACE-2 receptor, ACSH, Ahmed et al.

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blood flukes
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1
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1
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November 17, 2021
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November 17, 2021
November 17, 2021 · Original source
Here’s the prevalence of roundworm infections by country (source). But alongside roundworms, there are threadworms, hookworms, blood flukes, liver flukes, nematodes, trematodes, all sorts of worms. Add them all up and somewhere between half and a quarter of people in the developing world have at least one parasitic worm in their body. Being full of worms may impact your ability to fight coronavirus. Gluchowska et al write: Helminth [ie worm] infections are among the most common infectious diseases. Bradbury et al. highlight the possible negative interactions between helminth infection and COVID-19 severity in helminth-endemic regions and note that alterations in the gut microbiome associated with helminth infection appear to have systemic immunomodulatory effects. It has also been proposed that helminth co-infection may increase the morbidity and mortality of COVID-19, because the immune system cannot efficiently respond to the virus; in addition, vaccines will be less effective for these patients, but treatment and prevention of helminth infections might reduce the negative effect of COVID-19. During millennia of parasite-host coevolution helminths evolved mechanisms suppressing the host immune responses, which may mitigate vaccine efficacy and increase severity of other infectious diseases. Treatment of worm infections might reduce the negative effect of COVID-19! And ivermectin is a deworming drug! You can see where this is going… The most relevant species of worm here is the roundworm Strongyloides stercoralis. Among the commonest treatments for COVID-19 is corticosteroids, a type of immunosuppresant drug. The types of immune responses it suppresses do more harm than good in coronavirus, so turning them off limits collateral damage and makes patients better on net. But these are also the types of immune responses that control Strongyloides. If you turn them off even very briefly, the worms multiply out of control, you get what’s called “Strongyloides hyperinfection”, and pretty often you die. According to the WHO: The current COVID-19 pandemic serves to highlight the risk of using systemic corticosteroids and, to a lesser extent, other immunosuppressive therapy, in populations with significant risk of underlying strongyloidiasis. Cases of strongyloidiasis hyperinfection in the setting of corticosteroid use as COVID-19 therapy have been described and draw attention to the necessity of addressing the risk of iatrogenic strongyloidiasis hyperinfection syndrome in infected individuals prior to corticosteroid administration. Although this has gained importance in the midst of a pandemic where corticosteroids are one of few therapies shown to improve mortality, its relevance is much broader given that corticosteroids and other immunosuppressive therapies have become increasingly common in treatment of chronic diseases (e.g. asthma or certain rheumatologic conditions). So you need to “address the risk” of strongyloides infection during COVID treatment in roundworm-endemic areas. And how might you address this, WHO? Treatment of chronic strongyloidiasis with ivermectin 200 µg/kg per day orally x 1-2 days is considered safe with potential contraindications including possible Loa loa infection (endemic in West and Central Africa), pregnancy, and weight <15kg. Given ivermectin’s safety profile, the United States has utilized presumptive treatment with ivermectin for strongyloidiasis in refugees resettling from endemic areas, and both Canada and the European Centre for Disease Prevention and Control have issued guidance on presumptive treatment to avoid hyperinfection in at risk populations. Screening and treatment, or where not available, addition of ivermectin to mass drug administration programs should be studied and considered. This is serious and common enough that, if you’re not going to screen for it, it might be worth “add[ing] ivermectin to mass drug administration programs” in affected areas! Dr. Avi Bitterman carries the hypothesis to the finish line: First two images are with all relevant studies; second two are a sensitivity analysis that removes some of the most dubious. The good ivermectin trials in areas with low Strongyloides prevalence, like Vallejos in Argentina, are mostly negative. The good ivermectin trials in areas with high Strongyloides prevalence, like Mahmud in Bangladesh, are mostly positive. Worms can’t explain the viral positivity outcomes (ie PCR), but Dr. Bitterman suggests that once you remove low quality trials and worm-related results, the rest looks like simple publication bias: This is still just a possibility. Maybe I’m over-focusing too hard on a couple positive results and this will all turn out to be nothing. Or who knows, maybe ivermectin does work against COVID a little - although it would have to be very little, fading to not at all in temperate worm-free countries. But this theory feels right to me. It feels right to me because it’s the most troll-ish possible solution. Everybody was wrong! The people who called it a miracle drug against COVID were wrong. The people who dismissed all the studies because they F@#king Love Science were wrong. Ivmmeta.com was wrong. Gideon Meyerowitz-Katz was…well, he was right, actually, I got the worm-related meta-analysis graphic above from his Twitter timeline. Still, an excellent troll. Also, the best part is that I ignorantly asked, in my description of Mahmud et al above: And it was! It was a fluke! A literal, physical, fluke! For my whole life, God has been placing terrible puns in my path to irritate me, and this would be the worst one ever! So it has to be true! The Scientific Takeaway About ten years ago, when the replication crisis started, we learned a certain set of tools for examining studies. Check for selection bias. Distrust “adjusting for confounders”. Check for p-hacking and forking paths. Make teams preregister their analyses. Do forest plots to find publication bias. Stop accepting p-values of 0.049. Wait for replications. Trust reviews and meta-analyses, instead of individual small studies. These were good tools. Having them was infinitely better than not having them. But even in 2014, I was writing about how many bad studies seemed to slip through the cracks even when we pushed this toolbox to its limits. We needed new tools. I think the methods that Meyerowitz-Katz, Sheldrake, Heathers, Brown, Lawrence and others brought to the limelight this year are some of the new tools we were waiting for. Part of this new toolset is to check for fraud. About 10 - 15% of the seemingly-good studies on ivermectin ended up extremely suspicious for fraud. Elgazzar, Carvallo, Niaee, Cadegiani, Samaha. There are ways to check for this even when you don’t have the raw data. Like: The Carlisle-Stouffer-Fisher method: Check some large group of comparisons, usually the Table 1 of an RCT where they compare the demographic characteristics of the control and experimental groups, for reasonable p-values. Real data will have p-values all over the map; one in every ten comparisons will have a p-value of 0.1 or less. Fakers seem bad at this and usually give everything a nice safe p-value like 0.8 or 0.9.
Bloodletting

Bloodletting is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 24, 2024 and April 24, 2024. The archive places it in contexts such as "bloodletting was a common treatment". It most often appears alongside 2008 America, @agoodmanbacon, Baicker.

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Bloodletting
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April 24, 2024
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April 24, 2024
April 24, 2024 · Original source
Europeans in 1600 likely prided themselves on the ways in which their “modern” medicine was superior to what “primitives” had to accept. But we today aren’t so sure: seventeenth century medical theory was based on the four humors, and bloodletting was a common treatment. When we look back at those doctors, we think they may well have done more harm than good.
We believe in medicine, and this faith has comforted us during the pandemic. But likewise the patients of the seventeenth century; they could probably also have named a relative cured by bloodletting. Yet health outcomes are typically too random for the experience of one family to justify medical confidence. How do we know our belief is justified?
Bloxors Greeblic

Bloxors Greeblic is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 18, 2024 and January 18, 2024. The archive places it in contexts such as "But Seriously, Are Bloxors Greeblic? - Asking the important questions". It most often appears alongside America Against America, Are We All Doxastic Voluntarists?, Assistant Dictator Book Club.

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Bloxors Greeblic
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1
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January 18, 2024
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January 18, 2024
January 18, 2024 · Original source
But Seriously, Are Bloxors Greeblic? - Asking the important questions.
Blue Group

Blue Group is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 26, 2022 and January 26, 2022. The archive places it in contexts such as "decide whether kids are in an artificial Red Group or Blue Group". It most often appears alongside alpha waves, Andrew Gelman, Baby’s First Years.

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Blue Group
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1
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January 26, 2022
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January 26, 2022
January 26, 2022 · Original source
Andrew Gelman says no. He gets the raw data and randomizes the treatment variable, ie flips a coin to decide whether kids are in an artificial Red Group or Blue Group. Then he graphs EEG frequencies by group nine times:
On inspection, the graph still looks like there are big differences between the two groups. But these can’t be real, because this time the groups were determined by coin flip - the artificial Red Group and Blue Group don’t have any overall difference in how much money they got. This is just an artifact.
Blue-stockings

Blue-stockings is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 05, 2024 and July 05, 2024. The archive places it in contexts such as "Blue-stockings were pursuing him in droves". It most often appears alongside 1812, Ada, Albania.

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Blue-stockings
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July 05, 2024
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July 05, 2024
July 05, 2024 · Original source
In London, Juan found himself in fashion: Blue-stockings were pursuing him in droves And, practicing their Spanglish with a passion, Swapped rumors of his time in Grecian coves. He found Leila a tutor — the once-ashen Girl safe, he spent his autumn in the groves And house of his dear friends, to hunt and dine: Lord Henry A. and Lady Adeline.
bluechecks

bluechecks is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2022 and December 01, 2022. The archive places it in contexts such as "I would say its closest modern equivalent is “bluechecks”". It most often appears alongside Amalgamated Bank, Andover, anti-Semitism.

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bluechecks
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December 01, 2022
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December 01, 2022
December 01, 2022 · Original source
Fuzzy trad ideas of “values” mattering. Brooks already hints at this in his discussion of the crime / illegitimacy boom. I was previously suspicious of these explanations because it was hard to come up with a locus for “values”. Trends this big couldn’t be explained by individual values, but they didn’t quite seem like national values either - at least not the kind that could be budged with public awareness campaigns and feel-good support-our-values Disney movies. Brooks suggests the ruling class as the repository of values, and then lets values change suddenly because of a change in ruling classes. One final note: Brooks’ neologism for the new meritocrats, “Bobos”, stood for bourgeois bohemians. It was cute but never caught on. I would say its closest modern equivalent is “bluechecks” (this is a a vast improvement over the earlier term “Cathedral”, since it doesn’t imply having read Moldbug). Alas, Elon Musk ruined it; I can only hope lightning strikes a second time and we get some equally descriptive moniker. And speaking of Elon: every true silicon-blooded techie dreams of a world with no ruling class. A world where DeFi algorithms replace bankers, prediction markets replace “thought leaders”, and something something Khan Academy handwave bootcamp something something replaces the Ivy League. This is a beautiful utopian vision, which means it will never happen. More realistically, might techies replace traditional meritocrats as the ruling class? I think this was plausible around 2015, then fizzled out. Partly it fizzled because the New York Times, eternal mouthpiece of the establishment, noticed the situation and played defense effectively. Partly it failed because the meritocrats sort of took over Silicon Valley, and even though they don't own everything yet, they do own enough to prevent it from organizing into a real counterelite. And partly it failed because the specter of Trump convinced lots of different elites to close ranks around the bluechecks as heroic defenders of democracy. I'm currently bearish on the whole project. But if Brooks is right, Conant/Pusey’s fateful (and at the time unheralded) decision to open up Ivy admissions showed just how fragile aristocracies can be. Maybe some opportunity will arise where it is least expected. Related: David Brooks reconsiders Bobos 20 years later (Atlantic)
BMI

BMI is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 24, 2022 and November 24, 2022. The archive places it in contexts such as "BMI ≥ 30, or for people with BMI ≥ 27 and certain medical conditions". It most often appears alongside ACE inhibitors, ACE inhibitors, Adderall.

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BMI
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1
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November 24, 2022
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November 24, 2022
November 24, 2022 · Original source
Semaglutide is now as searched-for on Google as Prozac or Viagra. Even if this is a temporary Musk-related spike, even pre-Musk it was getting a little above half their level. But Google Trends doesn’t exactly track awareness; few people search for Prozac these days precisely because everyone already knows what it is. So all this tells us is that there’s a lot of buzz around semaglutide. Suppose for the sake of argument that 5% of obese people have heard of this drug. Step 2: Prescription Accessibility The FDA says Wegovy is indicated for obesity, defined as BMI ≥ 30, or for people with BMI ≥ 27 and certain medical conditions. Does that mean that if you have that BMI, your doctor will give you a prescription? I think most doctors will want patients to try diet and exercise first. My experience as a doctor is that most obese people have already considered diet and exercise. Sometimes if you have a very compelling reason and a very well-thought out plan you can get them to try again. But usually they are obese because diet and exercise are hard for them, or don’t work for them, or some other reason besides “they never thought of it”. Still, I hear lots of stories about patient-doctor fights here. I assume this will happen with Wegovy too. Every doctor will have their own threshold for what amount of “already tried diet and exercise” is enough to justify a Wegovy prescription, and sometimes patients won’t meet that threshold. The history of medicine includes the following story many times: there’s some condition that doctors recommend lifestyle changes for. Then an exciting new medication comes out that treats the condition effectively. Over a generation or so, doctors go from demanding the lifestyle change, to gesturing at the lifestyle change before prescribing the medication, to mostly just prescribing the medication. We saw this with cholesterol and statins, with hypertension and ACE inhibitors, with depression and SSRIs. You can form your own opinion on whether this is good or bad, but we’re probably in the very beginning of this process with obesity. Opinions will be all over the map for a while before the inevitable pharma company victory makes everyone agree that semaglutide is first-line therapy. …except that this time, Silicon Valley is short-circuiting the process with fly-by-night telemedicine companies that guarantee you’ll get the drugs you want. For example, NextMed charges $138/month ($99 first month only!) for a guaranteed GLP-1 agonist prescription, plus “support and messaging with expert doctors”. The DEA sometimes shuts these groups down when they start playing around with controlled substances (eg addictive drugs like Adderall), but Wegovy isn’t controlled, and the government probably doesn’t care that much here. These services guarantee that people with money will be able to circumvent conservative doctors and access a prescription. Only 75% of Americans have PCPs at all. If we assume half of them will eventually be able to get a Wegovy prescription from their doctor, that’s 37.5%. Step 3: Affordability Semaglutide costs $15,000/year. Well-off people like Elon Musk might be able to pay that out-of-pocket, but most people will probably need insurance coverage. Right now this is spotty. Medicare doesn’t cover obesity drugs. This isn’t a reaction to the threat of semaglutide-related cost explosions - they’re not that smart. I think Medicare laws were just written in the old days when people were less likely to think of obesity as a disease. Is it time for change? Some Congressmen have proposed a very noble-sounding law telling Medicare and Medicaid to start covering weight loss drugs. I‘m sure this is out of deep compassion for America’s obese population and not because it would make pharma companies one billion zillion dollars. One of the Congressmen even has the last name “Kind!” Some pharma lobbyist probably got a bonus for that one. Private insurers mostly have to cover whatever Medicare does, but they can choose whether or not to include extra non-Medicare-covered drugs. Some have chosen to cover semaglutide under some conditions. Others would prefer not to cover it, but can be scared into covering it by the magic words “medical necessity”. Overall I don’t understand the laws here beyond that maybe they’ll cover it and maybe they won’t. Here, too, it might be time for change. The New York Times is publishing articles trying to convince us that private insurances not covering semaglutide is an outrage. Here in the tiny gray text, I want to take a second to complain about this article. It notes that Wegovy (semaglutide for obesity) costs more per prescription than Ozempic (semaglutide for diabetes), and calls this “a gross inequity”, accusing Novo Nordisk of “charg[ing] people more for the same drug because of their obesity”. But the obesity prescription is higher dose than the diabetes prescription! Milligram per milligram, Wegovy costs *less* than Ozempic! A steelmanned version of the NYT might object - don’t most of the costs come from the intellectual property and not the manufacturing, so that dose shouldn’t matter? Yes, but if you made the obesity version cost too much less per milligram than the diabetes version, then diabetics would cheat the system by buying the obesity version and splitting it into smaller doses! Insurances that do cover it may require extra documentation that the patient has tried lots of diet and exercise, maybe including some official diet-and-exercise program like WeightWatchers. They might also want documentation that patients have tried cheaper earlier-generation weight loss drugs without success. Even when insurances do cover semaglutide, copays may be very high. I have a pretty minimal insurance and it looks like if I got semaglutide my copay would be about $500/month until I reach my out of pocket limit. Harsh. People with better insurances might get hit less hard, but I don’t think anyone will be picking this up for cheap. Let’s say only 5% of people who clear all previous hurdles can afford the drug. How Many People Get Semaglutide? 140 million obese Americans * 25% interested * 5% know of semaglutide’s existence * 37.5% can get prescriptions * 5% can afford it = 33,000, which is a pretty good match for the 50,000 estimated prescriptions. I didn’t even fudge the numbers to come out right, it just happened. The Coming Decade As a service to pharma investors, Morgan Stanley modeled the economic future of obesity medications over the next decade. Their headline result: semaglutide and various semaglutide-copycat-drugs will be a $30 billion market by 2030. That’s less than the $500 billion disaster I was afraid of! But still almost 10% of all US drug spending! Here are two core analyses from the report: The first analysis asks “what if doctors medicalized obesity as comprehensively as they’ve medicalized hypertension and high cholesterol?” That is: what if we put in a society-wide effort to get every obese person to a doctor, and after only a little diet and exercise, the doctor puts them on a medication? They find that the US obesity market would multiply by a factor of 25, to about $87 billion/year. The second analysis is a more realistic projection for the next decade. Two things stand out. First, the number of patients on Wegovy or related medications goes from an estimated 46,910 now (pretty close to my 50,000 estimate!) to 11.3 million in 2030. Second, the cost per prescription goes from $15,000/year to about $4,000 year. Let’s look at this second change in more detail. Right now semaglutide is literally in a class of its own for weight loss. But remember, it started as a GLP-1 agonist diabetes drug. And there are other GLP-1 agonists already in use for diabetes. Novo Nordisk’s competitor Eli Lilly owns a closely related molecule, tirzepatide (Mounjaro®). They’ve already done studies showing it also works very well for weight loss - if anything even better than semaglutide - and they’re expected to get FDA approval to market it as a weight loss medication next year. Although capitalism fans might expect the presence of two competing drugs to immediately drive down prices, this is mysteriously not how things work in health care and prices will probably stay the same in the short term. But several other companies are working on semaglutide-like drugs, some will be cheaper to produce than semaglutide, and Morgan Stanley expects that this stronger level of competition will eventually drive costs down to $350/month ($4,000/year) by 2030. “Mounjaro” sounds like the playful animal sidekick in a Disney movie. From a purely economic perspective, semaglutide costs the health system money (because it’s expensive) but also saves the health system money (because we don’t have to pay for obesity consequences like diabetes and heart attacks). Which effect wins out? According to the Institute for Clinical and Economic Review, benefits would outweigh costs if semaglutide cost less than about $8,000/year. Since it costs $15,000 year now, it’s not cost effective. But if Morgan Stanley’s model comes true and it costs $4,000/year in 2030, then it will be cost effective. So at some point, Medicare (and so insurance companies) may start covering it more out of self-interest. I can’t tell whether the model takes this into account or not. (there’s also a third-level effect where it costs the health system money again, because it prevents people from dying of obesity-related complications, and dead people stop needing expensive health care. I think health economists are supposed to ignore this level.) 11.3 million prescriptions at $4,000/year comes to $45 billion, but Morgan Stanley expects that not everyone will fill their prescriptions consistently or stay on the medication the same amount of time, leading to their $31 billion figure. Towards The Glorious Post-Obesity Transhuman Future The Morgan Stanley report shows that even the greediest pharma investors, openly plotting to medicalize obesity, can’t bring themselves to believe in more than 11 million US semaglutide patients by 2030. That’s less than 10% of the US obese population. Isn’t that kind of disappointing? We’ve got > 100 million people dealing with a condition that not only makes them unhealthy, but also causes them psychological distress, and makes lots of people low-grade disappointed in and repulsed by our society. And we’ve got an effective drug that treats the condition. And we’re going to use it on less than 10% of the people involved? In 2032, semaglutide goes off-patent. It will probably take a few years to sort out legal issues and ramp up generic production, but by the mid-2030s, its price will go way down. I don’t think there are technical barriers to getting it down as low as $10 - $100 per month. By then, maybe there will be even more exciting branded weight loss drugs for wealthy people to choose from. But at the very least, semaglutide itself should become much more widely available even to poor or uninsured patients. I’m not sure what will happen. Will there be an inflection point, where so many people use semaglutide that obesity becomes unusual again, and then the remaining obese people start using it just to fit in? Will obesity become an optional fashion statement, like shaving your head or getting a tattoo? Or will semaglutide end up disappointing us in some way, like so many promising drugs have before? I come at semaglutide from a transhumanist perspective. I want to hack genetics and biology until everyone is as tall as they want, as strong as they want, as smart as they want, and whatever gender they want. If you want wings, you should be able to have wings. And yes, part of this vision is everyone having the weight they want. I’m not sure this will happen, but for the first time I can see a clear path to how it might. Postscript 1: Should You Take Semaglutide? I can’t answer this, please ask your doctor. But I do want to add that there are potential side effects I haven’t mentioned in this post, including nausea, gastrointestinal problems, pancreatitis, and kidney problems. Semaglutide has been accused of slightly increasing risk of pancreatic and thyroid cancers. Studies have found trends in this direction, but these conditions are so rare that even over thousands of patients over many years, the increase hasn’t yet reached clear statistical significance. The current consensus position is that it may increase thyroid cancer by a tiny amount not relevant to most patients, and that it probably doesn’t increase pancreatic cancer. I think my father has looked over these data more and is less sure than other people about the lack of pancreatic cancer risk, but he can’t get the resources he needs to prove anything, and I can’t remember his exact argument. More broadly: like all medications, semaglutide has benefits and risks, and you shouldn’t blindly take it after reading one blog article. Postscript 2: Is There A Way To Cheat The System To Get Semaglutide For Lower Cost? Health care is much like airline tickets: everyone pays a different price for everything and there’s usually a secret way to get what you want for much less money. Is this true of semaglutide? Pharma company Novo Nordisk offers a Savings Card that they say brings the price down to as low as $25 per month. I’m a little suspicious of this - pharma company offers are rarely as good as they sound - but I don’t notice any obvious tricks in this one and it should probably be your first bet. This startup claims that they can get insured people semaglutide for a $25/month copay “after their deductible is met” by negotiating with the insurance company very effectively. I can’t imagine how that works or what they have to negotiate with, but they seem pretty convinced, so I would welcome more information. Otherwise, you don’t have many great options. Although there are two older forms of semaglutide not FDA-approved for weight loss - Ozempic and Rybelsus - these are both more expensive, milligram per milligram, than Wegovy itself. Canada is also of no help. The usual Canadian pharmacies don’t seem to carry Wegovy, and charge about the same amount for Ozempic as American pharmacies do. This article in Drug Discovery Trends says that compounding pharmacies have been selling semaglutide for $300/month, less than a quarter of the sticker price. This is a bit confusing: compounding pharmacies are small local operations permitted to dispense unusual medications by mixing existing ones together in nonstandard ways. They’re arguing that they can legally dispense the semaglutide because they’re mixing it with vitamins, which, fine, but how are they getting it in the first place? Everyone else seems as confused as I am: "Nobody knows how [compounding pharmacies are] getting it," said Karl Nadolsky, an endocrinologist at Spectrum Health. "Who's making it? [The pharma company that makes it] Novo [Nordisk]'s not giving it to them. They're the ones with the rights to the molecule, so how is anybody getting semaglutide?" Has nobody asked compounding pharmacists about this? Do they have a conspiracy of silence? Does the FDA sometimes send their goons in to extract the information, but the compounding pharmacists compound sleeping gas / smoke grenades and vanish into the night? Anyway, the usual authorities warn you not to take compounded semaglutide under any circumstances, but they’re the same people who tell you never to buy drugs from a Canadian pharmacy because they might be adulterated. You can decide how much you want to trust them. Postscript 3: What About Europe And The Rest Of The World? Countries that are not the US usually negotiate with pharmaceutical companies over price. Because of some combination of “negotiation works” and “they are free-riding off Americans’ hard work”, they usually get much lower prices. What does semaglutide cost elsewhere? This is hard to find out because government health agencies sometimes keep their prices secret, plus Wegovy mostly isn’t available in other countries yet. The only information I could find was from Britain, which is in the process of making Wegovy available to patients. It looks like NHS will “restrict the expensive drug’s availability to very obese people attending specialist weight-loss clinics”, but that it might be possible to get it from private clinics for £199/month = £2400/year. Wegovy has been approved in the EU but doesn’t seem to have made it there yet. I can’t find any information about any other country. Non-weight-loss-indicated versions of semaglutide are available in many countries, but I wouldn’t expect their health care systems to be flexible about redirecting it for weight. Canadian regulators have approved Wegovy, but it doesn’t seem to be available there yet. I haven’t seen any evidence that Ozempic costs less in Canada than it does in the US, and I’m not sure why. Maybe the pharma companies have figured out that anything that happens in Canada gets imported into the US, and they’re playing hardball this time. I don’t know whether Canadians will be able to get it for cheaper than Americans or not. Postscript 4: Predictions (all predictions are conditional on no singularity or global catastrophe) 10 million Americans on semaglutide (or yet-to-be-approved equally good or superior alternatives) by 2030: 75%
Board Governors

Board Governors is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 07, 2023 and July 07, 2023. The archive places it in contexts such as "Distinguishing between FOMC members who are Board Governors". It most often appears alongside Alberto Parmigiani, Ansolabehere, Barack Obama.

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Board Governors
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July 07, 2023
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July 07, 2023
July 07, 2023 · Original source
Distinguishing between FOMC members who are Board Governors, those who are voting Presidents of regional Federal Reserve Banks, and those who are non-voting Presidents, we find that the two former groups have been significantly less likely to express verbal dissents on policy decisions since 1993 (page 83)
board of directors

board of directors is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 07, 2025 and May 07, 2025. The archive places it in contexts such as "the board of directors 1 - and a mechanism for keeping the system stable". It most often appears alongside 2025-Yarvin, Antiversity, Apple.

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board of directors
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1
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1
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May 07, 2025
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May 07, 2025
May 07, 2025 · Original source
Both sides are right. The synthesis is that Moldbug sold out. In the late 2000s, Moldbug wrote some genuinely interesting speculations on novel sci-fi variants of autocracy. Admitting that the dictatorships of the 20th century were horrifying, he proposed creative ways to patch their vulnerabilities by combining 18th century monarchy with 22nd century cyberpunk to create something better than either. These ideas might not have been realistic. But they were cool, edgy, and had a certain intellectual appeal. Then in the late 2010s, as soon as his ideas started getting close to power he dropped it all like a hot potato. The MAGA movement was exactly what 2000s Moldbug feared most - a cancerous outgrowth of democracy riding the same wave of populist anger as the 20th century dictatorships he loathed. But in the hope of winning a temporary political victory, he let them wear him as a skinsuit - giving their normal, boring autocratic tendencies the mystique of the cool, edgy, all-vulnerabilities-patched autocracy he foretold in his manifestos. So, for example, Yarvin urges Trump to become more of a dictator, and Young accuses him of ignoring that fact that dictators can go crazy and do terrible things. The (anonymized) Twitter user above counters that Classic Moldbug includes a cleverly-designed procedure for an unremovable board of directors with well-aligned incentives who can remove a dictator if he screws up. That’s all true! Classic Moldbug does have that part! It’s great, at least as speculative fiction! But Trump hasn’t implemented it and never will, so who cares? The whole point of post-2015 Yarvin is to say “I, a cool person who has thought a lot about autocracy, conjecture that autocracies might go great if you do certain things, so don’t worry about Trump”, and hope you don’t notice that Trump isn’t doing any of the things. Props to the Architectonics blog for writing Curtis Yarvin Contra Mencius Moldbug (Part 2 here), which does a good job pointing this out in one limited domain: countries under international law vs. sovereign corporations under patchwork. But I think the problem is much broader. I’ll divide my argument into four parts: Classic Moldbug thought the default outcome of a modern populist dictatorship was disaster. To avert this, he proposed three mechanisms.
A carefully-safeguarded board of directors who could remove the dictator at any time.
A patchwork of city-states, unbound by modern “international law”, with few barriers to the free flow of capital and population. I’ll then describe how carefully Moldbug explained that you had to have these things, or else the dictatorship would fail in more or less the ways normies expect dictatorships to fail - leaving himself no room for the kind of pivot he’s trying now. 1: Classic Moldbug Believed Populist Dictatorship Would End In Disaster Classic Moldbug admitted that fascism and communism were extremely bad. He just drew different borders around political systems: fascism, communism, third world banana republic dictatorship, and democracy all cluster together as systems where coalitions rule because they can seize temporary power in a semi-lawless society. In the various totalitarianisms, it’s literal seizing of power through armed troops or secret police; in democracy, it’s electoral seizing of power through distributing the most goodies to coalition members. From here, my bolding. Clearly, the worst forms of demotism, the really bad apes, were the totalitarian systems—fascism and communism. The main difference between fascism and communism was not in mechanism, but in origin—fascist elites tended to be militarist, communist elites intellectual. But the one-party state is a clear case of convergent evolution. To a neocameralist, totalitarianism is democracy in its full-blown, most malignant form. Democracy doesn’t always deteriorate into totalitarianism, and lighting up at the gas pump doesn’t always engulf you in a ball of fire. Many people with cancer live a long time or die of something else instead. This doesn’t mean you should smoke half of Virginia before lunch. A political party is a political party. It is a large group of people allied for the purpose of seizing and wielding power. If it does not choose to arm its followers, this is only because it finds unarmed followers more useful than armed ones. If it chooses less effective strategies out of moral compunction, it will be outcompeted by some less-principled party. When one party gains full control over the state, it gains a massive revenue stream that it can divert entirely to its supporters. The result is a classic informal management structure, whose workings should be clear to anyone who watched a few episodes of The Sopranos. Without a formal ownership structure, in which the entire profit of the whole enterprise is collected and distributed centrally, money and other goodies leak from every pore. Totalitarian states are gangster states, in other words, and they tend to corruption and mismanagement. The personality cult of dictatorship is quite misleading—a totalitarian dictator has little in common with a neocameralist CEO, or even a cameralist monarch. The difference is the management structure. The CEO and the monarch owe their positions to a law which all can obey, and those who choose to obey the law are naturally a winning coalition against those who choose to break it. The dictator’s position is the result of his primacy in a pyramid of criminals. This structure is naturally unstable. There is always some other gangster who wants your job. Dictators, like Mafia chiefs, are not good at dying in bed. The internal and external violence typical of totalitarian states is best explained, I think, by this built-in mismanagement. Dictators are violent because they have to be—they use violence as an organizing principle. The totalitarian state has no principle of legitimacy that would render it impractical for an ambitious subordinate to capture the state with a coup. European monarchs made war, sometimes they were assassinated, and there were even succession struggles, but coups in the modern sense were very rare. Note that the financial logic which keeps the neocameralist state lawful does not apply in any way to the totalitarian state, because the latter does not have a stable management structure which is controlled by its shareholders. Lawlessness is not profitable for the state as a whole, but it may be quite profitable for the part that chooses lawlessness, and in the totalitarian state no one is counting as a whole. Similarly, only shareholder control gives the neocameralist state an incentive to remain small and efficient. The totalitarian state has an incentive to become large and inefficient, because every functionary has an incentive to expand his or her own department, and no bean-counter who demands that the department do more with less. In a totalitarian state, since no gangster is permanently safe from any other gangster, there is a strong incentive for anyone with power to take what he can, while he can. And there is no disincentive for him to avoid abusing a resource which neither he nor his allies benefit from. Under gangster management, the totalitarian states often engaged not only in mass murder, but mass murder of their most economically productive citizens. I’m trying to avoid subjecting you to too many Moldbug walls of text, but this is a constant hobbyhorse of his. Unless you implement his neocameralist ideology of shareholder control, your attempted autocracy will become a totalitarian state, which will be even worse than regular democracy. 2: The Dictator Must Not Be Elected The original sin of democratic/totalitarian governments is permitting power struggles. When you permit power struggles, the most power-hungry person wins. This person is probably a bad guy. But even if he isn’t, he has to optimize for gaining and maintaining power, instead of for the national interest. This usually means paying off the people who raised him to and keep him in power, i.e. corruption. Sometimes the corruption is straightforward, like giving friendly colonels vast sums from the public treasury. Other times it’s more insidious; if someone rose to power because organized labor joined their coalition, they have to overpay public unions, pass stifling pro-labor regulations, and ban whatever productive economic activity the labor unions don’t like. Therefore, we need a dictator who came to power without a struggle and doesn’t owe anyone anything. This is Moldbug’s read on “the divine right of kings”: Divine-right monarchy is very easy to understand, even for an atheist like me. We have already derived it. To an atheist, the King’s authority must be absolute, not because he is appointed by God, but because he is appointed by no one. If someone appoints him, that man is King. If their roles are divided—the famous “balance of powers” or “checks and balances”—they will struggle, and one or the other prevail. Probably the many over the few. How do you come to power without a fight? This is a tough ask, but Classic Moldbug bit the bullet: anybody who wants power is unworthy of it. You have to just sit there being worthy. When people get tired of sucking, they’ll give you power. The Procedure [for installing a virtuous government] comes in Three Steps: 1: Become worthy. 2: Accept power. 3: Rule!!1! You think I’m kidding. But I’m not. How do you become worthy? You must absolutely, 100%, avoid any kind of candidacy in elections, protesting the government, criticizing the government, thinking you could do government better than the current government, or (god forbid) deliberately trying to take power: As a reactionary, you don’t believe that political power is a human right. You will never convince anyone to adopt the same attitude, without first adopting it yourself. Since you believe others should be willing to accept the rule of the New Structure, over which they wield no power, you must be the first to make the great refusal. They must submit to the New; you must submit to the Old. The reactionary’s opinion of USG is that it is what it is. It is run by the people who run it. And at present, the present management may well be the best people in the world to run USG, and even if they’re not he can’t imagine what might be done about it—short of replacing the whole thing. This simple and final judgment, like the death penalty, admits no possible compromise. In particular, passivism is to Gandhi as Gandhi is to Hitler. Hitler, before 1933, was a violent democratic activist; Gandhi was a nonviolent democratic activist. Passivism is not any sort of activism. Passivism is passivism. In plain English, you may not even begin to consider the rest of the Procedure until you have freed yourself entirely from the desire, built-in burden though it be of the two-legged ape, for power. Break the steel rule, change your name to “Darth,” don’t expect to keep your internship at the Jedi Council. As a matter of both principle and tactics, the passivist rejects any involvement with any activity whose goal is to influence, coerce, or resist the government, either directly or indirectly. He is revolted by the thought of setting public policy. He would rather drink his own piss, than shift public opinion. He finds elections—national, state or local—grimly hilarious. And if he needs to get from Richmond to Baltimore, he drives through West Virginia. The passivist has a term for democratic activism directed by the right against the left. That term is counter-activism. Passivism does not dispute the fact that counter-activism sometimes works. For instance, it worked for Hitler. (We’ll say more about Hitler.) However, it only works in very unusual circumstances (such as those of Hitler), and is extremely dangerous when it does work (e.g., the result may be Hitler). In case this isn’t crystal-clear, the steel rule precludes, in no particular order: demonstrations, press releases, suicide bombs, lawsuits, dirty bombs, Facebook campaigns, clean bombs, mimeographed leaflets, robbing banks, interning at nonprofits, assassination, “tea parties,” journalism, bribery, grantwriting, graffiti, crypto-anarchism, balaclavas, lynching, campaign contributions, revolutionary cells, new political parties, old political parties, flash mobs, botnets, sit-ins, direct mail, monkeywrenching, and any other activist technique, violent or harmless, legal or illegal, fashionable or despicable […] In the First Step, passivism is a no-brainer. Why should you be interested in influencing OUSG? You’re trying to replace the Structure, not join it. One clear sign that you’re doing this right and haven’t been corrupted by power is that people won’t write hit pieces about your blog. I swear I’m not making this up: [A] passivist blog will appear, at worst, harmless and extremely strange. There’s something going on here, Mr. Jones. But you don’t know what it is—do you, Mr. Jones? As an existential enemy of USG, the reactionary may well deserve some immune attention. But he won’t get it, and he is quite happy with that. True fact: the author of UR has received over 7 zillion very interesting emails, all of which deserve responses, often long, that most have not received (but will). Number of hostile communications received, in over two years of blogging: zero. One can ascribe this result to many hypotheses, not all flattering, but I put it down to passivism. If you break this rule and seek electoral power, you are punished with something terrible: right-wing populism, which is basically the same as Hitler and must be prevented at all costs. [The] third tactical benefit [of passivism is] Hitler prevention. To an orthodox reactionary, Hitler is basically the poster child for what happens if you break the steel rule. Fascism is reaction, but laced with cancerous tumors of democracy—“right-wing populism,” as people say these days. If it loses it loses; if it wins, the tumors grow. An improvement on Communism, but not much of one. Just about all of Hitler’s shtick, right down to the name of his party, was ripped off from the Left. Who introduced nationalism to the Continent of Europe? The Hapsburgs, or Garibaldi? Under this camouflage, which never convinced anyone with a college education, Nazism was never in any way leftist. Rather, it was a demotic corruption of the old Prussian tradition […] Since most people are neither historians nor philosophers, the fact that Hitler was on the extreme Right, and this Reaction is also on the extreme Right, raises some natural concerns. Again: the only way to face these concerns is to (a) provide a complete engineering explanation of Hitler, and (b) include an effective anti-Hitler device in our design. The reactionary’s basic answer to the Hitler Question is the Law of Sewage. (This is not my invention, but I don’t know where I got it. Heinlein, perhaps?) The Law is: if you put a drop of wine in a barrel of sewage, you get sewage. If you put a drop of sewage in a barrel of wine, you get sewage. You’ll find that this rule applies perfectly to many fields of human endeavor. Thus, Nazism contains a great deal of reactionary wisdom, because those who created it were quite familiar with the old Continental tradition of government. However, the Nazi movement originated as a democratic political party. Thus Nazism combined the venom of democracy with the experience and efficiency of Prussia, an understandably dangerous combination […] This is where passivism, by abjuring democracy, vaccinates itself against Hitler. True: at a higher level, the reactionary seeks to cause a transition in power, and thus in a sense seeks power itself. But he is not an activist, because he is not working for power. His actions do not excite the human political instinct, the love for forming coalitions and tearing hell out of the apes across the river. For one thing, said actions bear no resemblance to normal politics. For another, they cannot bring any actual power to the actors, even if they succeed. Which, however likely, must remain intuitively implausible—if not laughable. And thus the project of reaction does not attract those with a real taste for power, which if nothing else is very un-Nazi-like. In other words - the failure mode of neoreaction (good) is right-wing populism eg Nazism (bad). You’ll know you’ve fallen into the failure mode if your reactionary movement starts with a democratic political party, or if its members are feeling normal human political emotions. If you can’t have a normal democratic party, how do you complete steps two and three - accepting power and ruling? Moldbug’s answer is complicated and not very related to our topic, but he thinks you first create the Antiversity, a shadow university system laser-focused on always telling the truth. Then you bootstrap it into a shadow government, which doesn’t engage in violent revolution or political campaigning, but just sits there being right about things (I’m imagining for example a shadow FDA that produces better drug information than the real FDA, so people gradually come to trust the shadow FDA more even though its rulings have no legal effect). Then people gradually switch their allegiance from the real government to the shadow government, until finally the shadow government proposes a pseudo-candidate in an election whose sole platform is “switch power from the real government to the shadow government”. Once he wins, he revokes the Constitution, implements the shadow government charter, and resigns. Why do you have to use this weird process instead of taking power the normal way? Because if you take power the normal way, you will fall into the trap of right-wing populism and become like Hitler: You start to see the difference between this and the Nazis. For the Nazis, the equivalent of the Antiversity was… Hitler. Have you read Hitler? I have. (The Table Talk is the Hitler to read.) Frankly, Hitler reads a lot like me, if I lost 25 IQ points from drinking lead soda, and also had a nasty case of tertiary syphilis. I may have some of Hitler’s talents—I will be the first to admit it. But I have no intention of applying for his job. I would never be able to do it, anyway. I don’t think anyone could. 2.5: The Dictator Must Not Need Anyone’s Approval This is a trivial extension of the previous point - “If someone appoints [the King], that man is King”. If the people appoint the King, the people are King, and then you’re a demotic totalitarianism. How do you avoid dependence on other people’s approval? In a democracy, you need the approval of 51% of people to win the next election; in a traditional dictatorship, you need the approval of the secret police or military to keep crushing your opponents. The reason [an unquestioned autocracy with no dissent] is peaceful and free is that we’ve defined [the autocrat’s] primary right so that it works just like a secondary right, [ie his legal rights are completely enforced by real power/control.] Hitler, Stalin and Mao, on the other hand, had enemies. Stalin and Mao, especially, basically operated under the assumption that everyone in the world wanted to kill them and take their jobs. After a while this was quite the self-fulfilling prophecy. Terrorist government—as in the Reign of Terror, a usage that’s unfortunately lapsed—is a consequence not of absolute primary title, but of insecure primary title. It is best understood as a form of civil war. So a dictator who still has enemies risks being crazy and genocidal. We’ll never get a dictator with nobody who dislikes him, but can we get a dictator with effectively no enemies - ie one whose enemies have zero chance of seizing power and so who might as well not exist? Yarvin admits this is a tough problem, but suggests cryptographically-locked weapons: In a full CDCC government, the sovereign decision and command chain is secured from end to end by military-grade cryptography. All government weapons—not just nukes, but everything right down to small arms—are inoperable without code authorization. In any civil conflict, loyal units will find that their weapons work. Disloyal units will have to improvise. The result is predictable, as results should be. That is, all weapons need a key to fire (or have a key that can prevent them from firing). The dictator owns the key. He can selectively disable weapons of rebel forces, allowing even the tiniest remnant of loyalists to easily overpower them. There are probably some implementation difficulties here; the point is that it’s definitely not democracy, nor even some kind of two-bit dictatorship where the dictator depends on the continued goodwill of the army. Why go to these lengths? Because without them, the dictator needs to curry favor through various corrupt strategies that undermine the national interest. Of these, the most malignant - the one Moldbug holds his deepest vituperation for - is fake news. Democratic parties necessarily lie, because they are not infinitely correct about everything, but they need the public to think they are. In order to maintain the support of the masses, they will lie about the nature of their policies, the details of their policies, and especially the success of their policies. There are two kinds of government: those whose formula of legitimacy depends on popular consent, and those whose doesn’t. Following contemporary usage, we can classify these as authoritarian and democratic. An authoritarian state has no need to tell its subjects what to think, because it has no reason to care what they think. In a truly authoritarian government, the ruling authority relies on force, not popularity. It cares what its subjects do, not what they think. It may encourage a healthy, optimistic attitude and temperate lifestyle proclivities, but only because this is good for business. Therefore, any authoritarian state that needs an official religion must have something wrong with it. (Perhaps, for example, its military authority is not as absolute as it thinks.) A democratic state which tells its citizens what to think is a political solecism. Think about the motivation for democracy: it consigns the state to the collective responsibility of its citizens, because it feels this is an independent and well-anchored hook on which to hang the common good. Once the republic has an established church, this hook is no longer independent, and the (postulated) value-add of democracy is nullified. Without separation of church and state, it is easy for a democracy to indulge itself in arbitrarily irresponsible misgovernment, simply by telling its bishops to inform their congregations that black is white and white is black. Thus misdirected, they are easily persuaded to support counterproductive policies which they wrongly consider productive. Moldbug warns that this is especially characteristic of right-wing populism, which is why he [Moldbug] is relieved when right-wing populism loses: The entire political structure of the American populist tradition is set up to select for ignorance and stupidity, and select against organization and cohesion. Thus it is simultaneously undesirable and ineffective, and even those of us who like myself sympathize with it to a considerable degree are often slightly relieved to see it lose, as it always does. 3: The Dictator Must Be Limited By A Board Of Directors How do we know that the dictator won’t have terrible policies, or be sadistic, or rename every state to “Statey McStateFace” just for fun? Moldbug proposes running the dictatorship as a joint-stock corporation. This helps in two ways. First, the dictator will be checked by a board of directors, who can fire him if he goes crazy. Second, the board of directors (or the investors who elect them?) will be aligned because they have stock. The stock goes up if the nation does better. If the dictator tries to kill the Jews and the market thinks that’s bad for business, then the directors will fire and replace the CEO. What happens if the controllers disagree on what “responsible” government means? We are back to politics. Factions and interest groups form. Each has a different idea of how Steve should run California. A coalition of a majority can organize and threaten him: do this, do that, or it’s out with Steve and in with Marc. Logrolling allows the coalition to micromanage: more funding for the threatened Mojave alligator mouse! And so on. That classic failure mode, parliamentary government, reappears [...] Actually, there’s one way to do it. We can define responsibility in financial terms. If we think of California as a profitable corporation, a capital asset whose purpose is to maximize its production of cash, we have a definition of responsibility which is not only precise and unambiguous, but indeed quantitative...We have, of course, reinvented the joint-stock company. There is no need to argue over whether this design works. It does. How would the board of directors remove a dictator who didn’t want to be removed? If the country is running on the cryptographically-locked weapon system discussed earlier, the directors will have a higher-level key that can overrule the dictator’s key and make sure that factions loyal to the board have working weapons while those loyal to the dictator don’t. How would the system guard against the dictator arresting the directors and torturing the key out of them? Maybe the directors could live in foreign countries (remember, they aren’t motivated by patriotism - they just want their stock to go up). Or maybe some of this process can be done cryptographically, so that nobody knows how many shares people have, how they voted, or even who the directors are at any given time. If the dictator started poking around to try to figure this out, the directors could remove him. I bring this up partly because 2025-Yarvin has been pushing the corporations vs. democracies argument pretty hard recently. Corporations, he argues, are nimbler and better-run than democracies. A big part of their advantage is that the buck stops with an autocratic CEO instead of a limited President. Therefore, to improve upon democracy, give President Trump the limitless powers of a corporate CEO. [When people ask me why I think monarchies are better than democracies] I ask them to look around the room and basically point out everything in the room that was made by a monarchy. Because these things that we call companies are actually like monarchies. And then you’re looking around yourself and you see, for example, a laptop. And that laptop was made by Apple, which is a monarchy. Whereas if your MacBook Pro was made by the California Department of Computing, you can only imagine it […] I think that if you took any of the Fortune 500 CEOs, some of them are good, some of them are bad. But the overall quality, just pick one at random, and put him or her in charge of Washington, and I think you’d get something much, much better than what’s there […] One of the things about monarchy that’s been known for quite some time—and again, even in very, very anti-monarchial regimes and periods, an exception is made for this—is that a ship always has a captain. An airplane always has a captain. Basically, in any very safety-critical environment … you should have someone in charge. But even granting that corporations are better-governed than democracies, this comparison doesn’t work. Corporate and national governance are trying to solve different problems. Corporate governance asks “Given pre-existing rule of law and the certainty that all of our bylaws will be enforced by a greater power, how do we ensure competent administration?” National government asks “How do we generate rule of law out of nothing in a way that can prop itself up and defend against attacks?” What prevents Tim Apple from refusing to pay dividends to Apple investors and keeping all the profit for himself? Easy question, it’s the United States government, no problem here. What prevents Donald Trump from murdering America’s five richest billionaires and taking their stuff? The police? What about the thing where Trump is the police chief’s boss’s boss’s boss’? Awkward, but that’s why we have separation of powers, checks and balances, government-of-law-and-not-of-men, all that stuff. What prevents Donald Trump from calling in the military to arrest all the other separate powers that are supposed to check and balance him? Uh, more separation of power, different checks and balances, some sort of loyalty to the Constitution. When Yarvin points out that companies thrive without separation-of-powers, that’s because they never encounter the problem that separation of powers was intended to solve. Classic Moldbug understood this well, which was why he proposed a separate power capable of checking his dictator - the board of directors1 - and a mechanism for keeping the system stable against power grabs - the cryptographic weapons. But the regime he boosts today has nothing like this, so it’s facile to use the corporate comparison argument. 4: The Dictator Must Be Embedded Within A Patchwork Of Similar Corporate City-States. Architectonics already did a great job covering this one. Read his Part 1 and Part 2, then meet me back here for the Conclusion section. At Long Last, I’ve Created The Populist Strongman From My Classic Series Of 11,000 Blog Posts “Don’t Create The Populist Strongman” I enjoyed reading Unqualified Reservations, way back in 2013. I didn’t agree with it, but I thought some parts of it were good, and even the bad parts helped me think clearly about the nature of power. I hoped the neoreactionaries would take the good parts, ditch the rest, and build something useful out of it. I think some people, mostly outside the organized neoreactionary movement, did exactly that (subscribers-only post, sorry). Unfortunately, Yarvin went the opposite direction, jettisoning the good stuff in favor of the bad. All the warnings against populism, party politics, corrupt power-seeking officials, misinformation, and mobocracy have been filed away in favor of a Flanderized “maybe dictatorship is good”. One reason I respect Sam Altman is that back in 2016, when he founded an AI charity to bring a positive singularity to the world, he realized that it would later be extraordinarily tempting to turn it into a normal profit-focused company and get rich. So he tied himself to the mast by designing a nonprofit structure capable of thwarting all the machinations his future self could throw at it. A few years later, he gave into temptation, tried to turn it into a normal profit-focused company, and failed, because the structure he designed was really good. This was the best possible outcome, and one of many reasons I number him among the all-time greats. Moldbug deserves a similar level of respect. He clearly saw that the failure mode of his philosophy was that power-seeking people would use it to support right-wing populism. He included a fantastic number of tests to determine whether any given self-professed reactionary was the real deal or a false prophet, begging his readers to apply them carefully to anyone claiming the mantle of reaction. Then he got corrupted by power and tried to use his philosophy to endorse right-wing populism. But the tests are still there! Anyone who reads through 11,000 blog posts can see all the red flags where Moldbug says “…and if I ever do X, then I’ve sold out and you should stop listening to me.” Another all-time great! Just the few posts I’ve highlighted in this essay have listed over a dozen tests - by tests I mean something where Moldbug says something is an absolutely vital feature of the new regime, or that without it things would descend into kleptocracy, or that this is the only safeguard against Hitler, or something along those lines. These include: The reactionary party always tells the truth
Bodhisattva Vow

Bodhisattva Vow is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2023 and December 01, 2023. The archive places it in contexts such as "Catholic version of the Bodhisattva Vow". It most often appears alongside Abraham Davenport, AI Policy Institute, Arizona.

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Bodhisattva Vow
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December 01, 2023 · Original source
1: The Heroic Act Of Charity is sort of a Catholic version of the Bodhisattva Vow. You tell God to donate all of your spiritual rewards to others - so that if you live a virtuous life, then their souls get to skip the queue in Purgatory instead of yours. No word on whether this can change who goes to Heaven vs. Hell.
bodice-rippers

bodice-rippers is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 03, 2024 and September 03, 2024. The archive places it in contexts such as "there are a hundred bodice-rippers for every sober investigation". It most often appears alongside 1980s, Air Force One, anal probing.

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bodice-rippers
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September 03, 2024 · Original source
“Bostrom’s original simulation argument said that if future generations simulated the past, there would be far more of these simulations than there were actual pasts. He thought maybe people would simulate the past to learn about the branching pattern of history. That’s the kind of mistake only a philosopher could make. If we look at existing media consumption - whether it’s videos, RPGs, or incipient VR properties - by far the most common category is porn. Even if you limit your search to historical media, there are a hundred bodice-rippers for every sober investigation of Victorian lifestyles.”
body dysmorphic disorder

body dysmorphic disorder is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2023 and February 27, 2023. The archive places it in contexts such as "shubo-kyofu , basically body dysmorphic disorder". It most often appears alongside 12th-century England, 21st-century America, acute and transient psychotic disorder.

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February 27, 2023 · Original source
Another thing going on seems to be a problem of grouping: one sub-aspect of taijin kyofusho is shubo-kyofu, basically body dysmorphic disorder. American psychiatrists would never think of this as a kind of social anxiety, but it kind of fits. Another symptom is jikoshu-kyofu, fear of body odor. I’d never heard of this and thought it might be a genuine Japanese culture-bound condition, but Wikipedia tells me there’s a Western version called olfactory reference syndrome. The International OCD Foundation says that “the prevalence of ORS is not known, but it is certainly more common than generally recognized”. Lochner and Stein find that the prevalence in psychiatric samples (ie people with other mental health conditions) seems to be around 2%. I don’t think it’s at all obvious that more Japanese than non-Japanese have this condition that nobody ever does a good job measuring the prevalence of.
bodywork

bodywork is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 30, 2023 and May 30, 2023. The archive places it in contexts such as "Typical examples would be yoga, “bodywork”, tai chi, Alexander Technique, chakra meditation". It most often appears alongside advanced meditators, Alexander Technique, Bessel van der Kolk.

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bodywork
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May 30, 2023 · Original source
(here “woo” means various more-or-less-alternative wellness and spirituality practices. Typical examples would be yoga, “bodywork”, tai chi, Alexander Technique, chakra meditation, Wim Hof, Internal Family Systems, somatic experiencing, some trauma therapies, etc.)
All of these people also “do bodywork”. Is this a coping strategy? A risk factor? An innocent diversion? I don’t know. But overall it’s left me feeling grateful that whatever “skills” predispose one to bodywork seem to have passed me by
Bohemian artists

Bohemian artists is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 10, 2021 and May 10, 2021. The archive places it in contexts such as "starving bohemian artists". It most often appears alongside "How do you do, fellow kids?", #NotAllMen, #TheResistance.

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Bohemian artists
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May 10, 2021 · Original source
In 2014, armed with this model, I predicted that hip young people would go far-right. For the previous few years, the social justice movement had been the dominant intellectual paradigm in online spaces (and increasingly offline too). The movement had started with the same people who start all trends - starving bohemian artists, poor people on the fringes of society, hip college kids. Beginning around 2008 it spread like wildfire among all the most popular and clued-in people I knew - all my favorite slightly contrarian bloggers, all the most interesting people at my college. But by 2014, it was starting to get embarrassing. We'd already seen the beginnings of "woke capitalism", where Wal-Mart or Amazon or whoever would put their corporate logos in rainbow colors for gay pride day and then everyone would praise them and talk about how they were striking a bold blow against the entrenched forces of the kyriarchy. Hillary Clinton, 25-year-contender for America's least cool person, was giving speeches about male privilege and rape culture. The Instagram pages of the hippest, most counterculture people in the country sounded exactly the same as the lectures corporate consultants gave at mandatory educational workshops. According to Bell's theory there was no way this was a stable situation.
Bohemian turn

Bohemian turn is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 16, 2026 and January 16, 2026. The archive places it in contexts such as "Arguably this had something to do with the Bohemian turn". It most often appears alongside Adams, Alice, All-Seeing Eye.

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Bohemian turn
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January 16, 2026 · Original source
Arguably this had something to do with the Bohemian turn, the reaction against the forced cheer of the 1950s middle-class establishment of company men who gave their all to faceless corporations and then dropped dead of heart attacks at 60. You could be that guy, proudly boasting to your date about how you traded your second-to-last patent artery to complete a spreadsheet that raised shareholder value 14%. Or you could be the guy who says “Oh yeah, I have a day job working for the Man, but fuck the rat race, my true passion is white water rafting”. When your father came home every day looking haggard and worn out but still praising his boss because “you’ve got to respect the company or they won’t take care of you”, being able to say “I hate Mondays” must have felt liberating, like the mantra of a free man2.
bohemianism

bohemianism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 09, 2022 and December 09, 2022. The archive places it in contexts such as "The idea that the cultural values that Brooks calls "bohemianism" became dominant in America". It most often appears alongside 417th Marquess of Cornwallshireshire, ACX, ACX.

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bohemianism
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December 09, 2022 · Original source
-The idea that the cultural values that Brooks calls "bohemianism" became dominant in America for essentially parochial reasons limited to the US (a change in university admissions policies, the displacement of a previous aristocracy) doesn't track well with the fact that these social changes happened around the same time in basically every part of the western world (and to a lesser degree in Asia as well).
-The idea of a clean break between WASP culture and bohemianism, with the former being a separate, distinct group of people that overthrew the latter doesn't make a lot of sense. The WASPs were heavily associated with set of a few denominations--episcopalianism, congregationalism, and unitarianism--and today all of these are generally considered some of the most liberal, bohemian-ish religious groups in the country. It's probably more accurate to say that many young members of the WASP aristocracy simply adopted some bohemian values (at least superficially)
bohemians

bohemians is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2022 and December 01, 2022. The archive places it in contexts such as "Brooks focuses more on the bohemians - beatniks and starving artists". It most often appears alongside Amalgamated Bank, Andover, anti-Semitism.

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bohemians
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December 01, 2022 · Original source
The meritocrats didn’t exactly have a culture of their own to bring to the fight. They were a haphazard faction thrown together by 1950s college admissions policies. But their links to academia let them lift the pre-existing culture of the intelligentsia and bohemians.
But Brooks focuses more on the bohemians - beatniks and starving artists who voluntarily dropped out of the rat race to pursue their passion. Again, it’s hard to identify these people as a separate group today. Brooks says they were a lot more noticeable before the upper class ate them and stole their skin.
These groups had evolved alongside and in opposition to the aristocracy. Their values were anti-capitalist - sometimes in the sense of being outright Marxists, but always in the sense of contempt for the boorish pursuit of money or status. To the intelligentsia and bohemians, the suburban white-picket-fence two-point-five-children lifestyle was infinitely contemptible compared to a passionate commitment to suffer for art or politics or erudition or whatever; they had spent the past two hundred years harping on this theme in approximately every novel ever written. The new meritocrats adopted these ideas as rallying cries for their cultural crusade against the bourgeois WASPs.
Bohr effect

Bohr effect is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 09, 2021 and November 09, 2021. The archive places it in contexts such as "discovered the Bohr effect in hematology". It most often appears alongside Aage Bohr, Abanindranath Tagore, Aldous Huxley.

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Bohr effect
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November 09, 2021 · Original source
Niels Bohr developed the modern understanding of the atom, for which he won the Nobel Prize in Physics. His father, Christian Bohr, discovered the Bohr effect in hematology. His brother, Harald Bohr, was both a great mathematician in his own right, and one of Denmark's top football players; he led the team to a silver medal in the Olympics, and "when he defended his doctoral thesis the audience was reported as having more football fans than mathematicians". Niels’ son Aage Bohr won another Nobel Prize in Physics, his other son Ernest Bohr was another Olympic athlete, and his grandson Tomas Bohr was another physics professor.
BOLD signal

BOLD signal is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 30, 2022 and September 30, 2022. The archive places it in contexts such as "you robustly get RPE-related BOLD activity in the NAc". It most often appears alongside 5HT2A serotonin, acetylcholine, Alice.

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BOLD signal
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September 30, 2022 · Original source
Most people think this is the case because when you put subjects in an fMRI scanner and have them do tasks where they get reward or learn cues that are associated with reward, you robustly get RPE-related BOLD activity in the NAc, and only rarely/more weakly in the ventral tegmental area (VTA), which contains the dopamine neurons that project to the NAc. So when you see those nice fMRI maps, the NAc is lit up in red. But the physiological basis of this fMRI signal is hotly debated (for example, it could represent primarily synaptic input rather than actual neuronal firing, especially in a GABAergic circuit like the striatum), and in single-unit recordings in mice, rats, and monkeys, it is unequivocal that dopamine neurons in the VTA show much more RPE signaling than the striatum.
Bolivarism

Bolivarism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 02, 2023 and November 02, 2023. The archive places it in contexts such as "an unorthodox fusion of Bolivarism and communism". It most often appears alongside America, American conservatives, Belarus.

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November 02, 2023 · Original source
But Chavez stayed the same overly serious, overdramatic young person as always. And his hero-worshipping tendencies found a new target: Simon Bolivar, the Great Liberator, the man who had first won Latin America its freedom from Spain. Comandante seems confused exactly how Chavez ended up so left-wing. Bolivar-worship was par for the course, but most military recruits took it in a conservative direction. It can only say that Chavez met some left-wing activists, and visited Peru when it was making its own left turn. Still, it seems that pretty early, Chavez had come up with an unorthodox fusion of Bolivarism and communism, mixed with a sense of personal destiny. A diary entry from 1977, addressed to Bolivar, said:
Bollywood

Bollywood is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 14, 2023 and July 14, 2023. The archive places it in contexts such as "my favorite Bollywood movie". It most often appears alongside !Kung San, aboriginal people on the west coast of Canada, Adam Smith.

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Bollywood
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July 14, 2023 · Original source
Are we hosed? If Egan’s critique is correct, we’re in a bad situation. Educational radicals yell from their dark corners to abandon the middle and come join them; a century of educational reforms have amounted to little more than wobbling around, first in one direction, then another. At the moment, the conversation about schools in the United States, at least, seems to have hit an all-time pessimistic blech. Freddie deBoer speaks for a lot of people when he says “Even the most optimistic reading of the research literature suggests that almost nothing moves the needle in academic outcomes. Almost nothing we try works.” I’m not quite that pessimistic — the word “almost” is doing some work, there. There are some reforms that seem to work at the margin: raising teacher pay, making it easier to become a teacher, reducing air pollution, free school lunches, and more. Actually applying what the science of reading has been telling us for a few decades seems a big one. And perhaps you have your own pet reform proposal. Sure — add it to the heap! What Egan suggests, though, is that so long as we’re bopping around this triangle of jobs, we won’t be able to get the schools that we want. The dream There’s a moment at the end of my favorite Bollywood movie that’s become stuck in my head. The protagonists have made the arduous journey to a beachside rural school. In the sun outside, flocks of children are experimenting with art and playing with inventions; inside, the walls are covered with books and the tables are covered with models. The kids are learning joyously and deeply. In the real world, such places do exist — they’re just exclusive, pulling their students from among the families who are already the most gifted and curious. They don’t make kids this way; they scoop up the kids who are already this way. But in the movie, we’re supposed to believe these are normal children — normal, except they’ve been transformed by a school. Egan’s wild idea is that it’s possible to make schools like this. He thought that we didn’t have to wait for the communists to make people equal or for the transhumanists to make people smarter. All he thought it required was giving schools a different job — not socialization or academics or development, but something that brings pieces of them together in a new way. But in order to understand that job, we have to come to a cleaner, bigger, and truer understanding of what “education” is. The road ahead: a special Q-and-A Q: This is the proverbial thousand-dollar-bill-lying-on-the-sidewalk: if this is possible, someone should have done it now. Is Egan going to give sufficient evidence for me to believe this? Maybe! I’ll address this in a special section at the end, after sketching out what his theory looks like. Q: If his theory is even plausibly true, then why haven’t I heard of Egan before? His books can be hard to read — he was an intellectual’s intellectual; he had difficulty writing a page without a reference to William Wordsworth, Friedrich Nietzsche, Sigmund Freud, Ludwig Wittgenstein, Claude Levi-Strauss, Richard Rorty, Noam Chomsky, or Steven Pinker. And his paradigm is wonky and multidimensional; he rejiggers common categories, and tells you everything all at once. But worst of all, when his paradigm is stated plainly, it sounds stupid. Q: Oh! What… is his paradigm? I’m going to jigsaw his book, and hold back his big idea for its own section. First, I’m going to list out some simple observations of students at different ages, and imagine what schooling could look like, if it were built on these principles. (First I’ll do this for elementary school, then middle school, then high school.) Then I’ll explain how his theory ties all of this together… by clarifying our definition of what education actually is. Q: I’m not from America; could you be clear on what you mean by those divisions of schooling? Egan’s framework has three main stages, but they don’t divide neatly into “elementary, middle, and high school”. (The precise age ranges he talks about, if you’re interested, are 2–8, 8–15, and 15 and older.) Regardless, I’m going to use those terms — he sometimes did — because it gives me something specific to imagine. Don’t sweat ‘em. Part 2: A new kind of elementary school What’s the matter with elementary schools? Egan suggests that Plato and Rousseau, for all their differences, might have the same reaction if they visited a modern elementary school: they’d call it “trivial”. I’ll admit, here, that I have tremendously fond memories of my elementary school years — committed teachers, good friends, and interesting activities. But I suspect my memory has edited out the most typical work I did. Either that, or elementary schools have taken a drastic plunge in quality from the 1980s. My wife and I homeschool now, but before the pandemic, we sent our kids to our local public school, and whenever we volunteered in the classroom, we were horrified. They spent their days practicing reading on shallow texts, or half-mindlessly practicing basic arithmetic. Occasionally they’d bring us home a sign of learning about something from the real world — usually something as intellectually and emotionally compelling as the importance of tooth brushing. And at parent–teacher conferences every year, we’d be sat down on tiny chairs and informed that, while our children were quite bright, they were struggling to pay attention in class. No sh**, I wanted to reply. The school seemed hermetically sealed; almost nothing that felt meaningful from the outside world could get in. Though they might agree about little else, Egan thinks that Plato and Rousseau would look at the dull worksheets and insipid “hands-on activities” and call modern elementary schools trivial. He agrees, and thinks that fixing this is the first step to building a new kind of school. Why so trivial? Ironically, Egan thinks it's all the fault of Plato and Rousseau. Hidden in the ways that both the academicists and developmentalist think about education is an assumption: that children’s reasoning is basically the same as adult reasoning, but lesser. Q: This isn’t some romantic, children-are-the-real geniuses theory, is it? Egan actually does think that there’s an intensity to how children perceive the world that we lose — but no, it’s not. He’s building on mainstream cognitive science — just aspects of it that are currently more-or-less ignored in school. The upshot, though, is that he thinks that educational researchers (be they of academic or developmentalist persuasions) see kids as smaller, stupider versions of adults. Q: But that’s the opposite of what my local developmentalist school says! It was the opposite of what the developmentalist school that I worked at said, too. But at teacher meetings, I’d frequently hear people ask what was “developmentally appropriate” for a child. I’ll grant that there are perfectly reasonable times to ask this: “Honey, is it developmentally appropriate for our 10-year-old to watch ‘Cocaine Bear’?” is just one of many examples. But “is it developmentally appropriate for our class to learn about world religions?” or “is it developmentally appropriate for our school library to have a book mentioning homosexuality?” probably aren’t some of them. (The latter example was not one that I heard at my progressivist school, but Egan points out that this sort of language is often used by conservative activists.) This notion of “developmentally appropriate” took on a scientific sheen with the work of Jean Piaget, the famous Swiss psychologist. Before age 12, he “proved”, children aren’t able to form hypotheses, draw conclusions, or think abstractly. This, his followers thought, should transform schools — and so they did! To math, they added in “manipulatives” — physical cubes and rods and such — to help students see math. To the history curriculum, they — well, they ended it. Why waste time, they asked, lecturing students about history that they couldn’t possibly understand? In its place they put the “expanding horizons” model of social studies. One version goes as follows: In kindergarten, students learn about themselves In first grade, they learn about their families In second grade, they learn about their neighborhood In third grade, they learn about their city In fourth grade, they learn about their state In fifth grade, they learn about their nation In sixth grade they learn about the world We can admit that there’s an elegance to this model. (I can picture how clever the theorist who first came up with it must have felt!) The downstream effects of it, however, seem horrible. Doesn’t keeping kids ignorant of the rest of the world seem provincial? Doesn’t reinforcing their self-centeredness seem infantilizing? Perhaps we could stomach it if it was founded on some unshakable findings of child psychology — but does it really strike you as likely that kids are incapable of understanding anything that happened long ago or far away? How, Egan asks, can we explain the $50 billion success of a movie franchise aimed at children that literally begins “A long time ago, in a galaxy far, far away?” Q: Because… Jedis aren’t history? The point is, kids obviously have the mental abilities to understand — and in fact care a lot about — things far outside their own experience, and we’ve built elementary schools on a long-dominant model of educational psychology that swears they can’t. This is actually a great example of a general principle. Let’s call it “the Star Wars test”: can our model make sense of the most obvious facts of students? When we find that the answer is “no”, we should at least consider radically revising what we’re doing in school. What are elementary schoolers good at? (or: kids are smarter than students) Someone — I can’t now find who — once observed that children seem to lose IQ points the moment they step into a classroom. Egan agrees, and suggests that we think of ourselves as primatologists to kids, Jane Goodalls who investigate children “out in the wild” to see the sorts of things they gravitate to, and do fairly well at. If we do this, what do we see? Kids tell jokes, for one. They get mental images stuck in their heads, for another. They engage in role-playing, get lost in reverie, and beat out rhythms when they’re bored. They make ample use of metaphors, tell stories, and insist on seeing the world in terms of abstract binaries (e.g. stupid/smart, cowardice/courage, slavery/freedom, and so on). These, Egan holds, are the cognitive strengths that children use to understand the world. They’re the things that kids are often about as good at as adults — or much better than. They’re going to be the tools Egan wants us to use to rebuild the entire elementary curriculum, and in fact he spends most of his second chapter geeking out about how we might define these, how they operate in the mind, where they first pop up in history and anthropology, and even how they might have developed in our evolutionary past. I’m going to skip all of that, and get to the curriculum. From trivial to rich: the trick What could an intellectually rich elementary school curriculum look like, if we built it on kids’ cognitive strengths? He gives us one suggestion to help us do this: ask where each discipline came from in the first place. What was math before it was math, for example — or science before it was science? Q: How on Earth could that help? That’ll become clear later, when we finally uncover what Egan thinks “education” actually is, and see what job he wants us to give schools. For now, take it as a tantalizing hint… or, y’know, just ignore it. Elementary literature & language What was literature before it was literature? Before people invented writing, they had rich oral traditions: they told simple stories, recited poems, and shared proverbs. Egan suggests that these bits of oral tradition should form the backbone of the elementary literature curriculum. Q: What sorts of stories? As many as we can, and from as many diverse cultures as possible! Folktales are wonderful, as are myths. Think the Aboriginal story of “The Rainbow Serpent”, episodes from the Sumerian “Epic of Gilgamesh”, the Egyptian story of Osiris & Isis, the Greek story of Orpheus & Eurydice, the Chinese Legend of the White Snake, the Japanese Tale of Amaterasu and Susanoo, the Ashanti tales of Anansi, the Aztec myth of Quetzalcoatl, the English legend of King Arthur, the Maori myth of Maui and the Sun, the Roman story of Romulus and Remus, selections from the Indian Mahabharata, the Anglo-Saxon epic of Beowulf, the Inca legend of the Sun and Moon, the Iroquois Myth of the Flying Head (a real thing! look it up!), and the Ojibwe story of Turtle Island. Q: That was a lot of examples. Are you going to keep giving so many? I’ve got a [mumble mumble mumble] to get to. Sorry about that. Sometimes, though, I feel that a limitation of reading Educated Mind is that, in trying to keep his book to a manageable size, Egan skimped on examples in some places that it matters. It’s easy to read his occasional example and assume he intends that it hold some central place in the curriculum — when all he wants to do is display how rich and diverse the curriculum could be. (Also: good God, I didn’t even include an example from Norse mythology!) So from now on, just assume that every category could be filled with oodles of examples. Q: What sorts of poems? Lots of poems, first of all. We shouldn’t steer toward “fancy” poems — rather, we should find poems that appeal to kids immediately — think Shel Silverstein, Mother Goose, Dr. Seuss, Jack Prelutsky, Edward Lear, or Ogden Nash… that sort of thing. In a biting essay, Egan suggests these poets like these appeal to kids precisely because they leverage kids’ cognitive strengths: “we should find, and encourage saying and singing and shouting aloud verse with strong narrative forms, thumping rhymes and rhythms, the most vivid images, fun with metaphors, and a rollicking story.” Q: Why proverbs? Proverbs stick in your mind almost effortlessly. (“All’s fair in love and war!” “When in Rome, do as the Romans do!” “You can’t judge a book by its cover!”) They’re also useful; they capture general truths. Kids can apply them to all sorts of situations, but also discuss them — to what extent are they wise or foolish? (I remember my surprise when I realized that they couldn’t all be true — because you can’t follow “look before you leap” and “he who hesitates is lost” at the same time! I’m embarrassed to say that I think I only realized this when I was in college.) Elementary science What was science before it was science? Egan suggests: being immersed in the natural world. We might, he writes, encourage elementary students to “adopt” some feature of the natural world — a patch of grass, a cat, a branch, a stream — and simply observe it at length. To do this, we can use the cognitive strength of reverie. Q: Oh, do you mean like kids sometimes do in science class nowadays — describe a thing to a partner, make notes, draw it, and label its parts? No, the exact opposite! That’s all about squeezing the experience into words and forms that we understand. What we want “is less an attempt to know about nature as to know it in some participatory way, to know it as something we are an intimate part of, not set off from”. Q: That sounds a little… “woo” to me. It did to me, too… until I remembered my childhood climbing tree. I didn’t much like to go outside as a child, but I had this one tree that I’d climb up and read for hours and hours. If I close my eyes I can bring to mind the precise texture of its bark, the roughness of its broken-off branches, the coolness of its leaves, the always-surprising solidness of its trunk… I’m bigger now, but I think if I were back in my parent’s yard, I could still navigate its limbs with my eyes closed. I have, at this point in my life, read a fair number of books about trees, but I’d be surprised if all of them together more than equaled the amount I learned from that tree — my tree. Elementary math What was math before it was math? Egan suggests: counting and logic. We might, then, use rhythms, metaphors, stories, and jokes to help kids become fond of these. Q: Counting is pretty… basic. Could it really be improved? Beware of “the curse of knowledge”: Steven Pinker’s phrase for forgetting that something was once difficult! Egan suggests we should spend time helping kids count wonderfully. We can start early with counting rhymes. (“One, two, buckle my shoe! Three, four, out the door! Five, six…”) But we can also help kids use their fingers as metaphors. There are some pretty cool ways of using your hands as an abacus — and did you know that you can count up to 1,023 using just your fingers on both hands, and a knowledge of binary? Q: Logic — I’m intrigued! Aristotelian, or Boolean? Neither, for the time being — Piaget was presumably onto something when he found that young children couldn’t reason abstractly, but he was looking at logic in a vacuum. When we put logic into the context of stories, we find that kids can deal with logic just fine. There’s an entire worldwide network of educators, in fact, called Philosophy for Children, who have written whole books about how to do this, and Egan loves it all. Sometimes they read stories and ask simple questions: “What is friendship?” or “What does it mean to be brave?” They also pose ethical questions: “Is it ever right to spill a secret?” And they pose paradoxes: “Can you step in the same river twice?” Q: You mentioned “jokes” a moment ago. Care to elaborate? Egan thinks that, to help kids get good at math, you should tell kids jokes. Q: That’s… new. I think so, too — but he backs it up pretty well. To be funny, jokes (or at least most kid jokes) rely on a leap in logic: Why can’t you trust an atom? They make up everything. Knock-knock. Who’s there? Boo. Boo-hoo? Don’t cry, it’s just a joke! To understand the joke, kids have to follow the logic — spotting patterns, making connections, and tracking what their audience expects a word to mean. That’s a lot of cognitive lifting. And Egan goes further, suggesting that we grit our teeth and create methods to help kids invent their own jokes, no matter how horrible they’ll be at first. (The things we do for learning…) Q: Wait wait wait! What about addition facts, and multiplication tables, and fractions? Egan emphasizes that his methods are designed to be add-ons to the standard math curriculum. In general, he’s a don’t-blow-up-the-system sort of guy, and if something seems especially weird, you should probably assume it’s an add-on to the regular curriculum rather than a replacement, even if I forget to say so. Elementary arts What was art before it was art? Egan suggests we pop our heads into Paleolithic caves for our inspiration. Whatever the specific meaning of all those charcoal elk and aurochs and mammoths (communication with the spirit world? art for art’s sake? a way to impress babes?), Egan thinks it obvious that they were also an attempt to capture an intense experience that would be difficult to express in words alone. What did it feel like to be near an aurochs, or a saber-toothed tiger? “The arts help us,” Egan writes, “to hear and see afresh, to force our perceptions and sensations to experience again the immediacy and vividness of the world”. If we follow this, then, we don’t want to help kids build “art skills” so they can draw like an adult — rather, we want to help them amass a repository of diverse aesthetic feelings that they’ll want to express. We should provide them with a riot of experiences. Q: That couldn’t be more opaque. Examples, please! Egan writes that we should have children learn to whistle, sing, and click their tongue; we should help them emulate the ways a skunk or a hawk or a stick bug might move through a space. We should expose them to scores of different temperatures and materials. In music, we should help them love Beethoven, yes, but also the Beatles; Tchaikovsky, yes, but also Tuvan throat singers, and also John Cage, whale song, and bird song. Q: That’s a lot of experiences, but what would they be doing? An interesting aspect of Egan’s view of education is that he doesn’t seem to think we should push kids right to the “doing” phase. He wants to help kids cultivate an affective relationship with the world. In any case, he writes that as students get more experienced, we should prompt them to move from merely enjoying these experiences to trying to systematically shape similar experiences. And drawing, painting, and playing music could easily be folded into other parts of the curriculum. Elementary social studies What was social studies before it was social studies? Well. Remember how, just a moment ago, I wrote that you could assume that you should probably assume that Kieran isn’t in favor of junking the curriculum as it currently stands? He suggests we very carefully pick up the elementary social studies curriculum, place it into a trash can, and set the whole mess on fire. He isn’t worried about much of importance being lost. (Remember that the “expanding horizons” model is, to him, the original sin of 20th century educational reform, and he repeatedly quotes student surveys showing that “social studies” regularly wins the title of “most boring subject”.) In its place, he suggests we put history — which, he hints, we should think of as the centerpiece of the elementary curriculum. So the real question is what was history before it was history? His answer, surprisingly, is myth. Q: Egan wants us to teach myths as if they were history? Not at all. What he suggests, though, is that we look at how myths operate as narratives — so we can design an intellectually vivid history curriculum. And myths really are special: each is built on at least one binary (like weak vs. strong, or lies vs. truth, or so on), and uses that to tell the story of the big picture of the world. They’re so powerful that people can understand it, remember it, and love it — even if that thing never happened. We should take that power, Egan says, and apply it to things that really did happen. Q: So what history does he think kids should learn in elementary school? The great struggles of humanity from across the whole. Flippin’. World. We’re still talking about young children, so these should be done as simple stories. The goal isn’t to make them history PhD’s, so we needn’t even try to put them in any sort of order. Egan suggests that, in first grade, we pick a single binary like “freedom against oppression” and tell kids a welter of stories, again from as many cultures as possible, and as many times in history as possible. Q: Can you give examples? Oh, all right — in first grade we can tell kids the stories of the war of the Greek city-states against the Persian empire, and the slave uprising of Spartacus against the Romans. We can tell them about the plight of Jews in medieval Europe, and of the unsuccessful Sepoy Rebellion in India against the British. We can tell the stories of the American, French, and Haitian Revolutions, and about the Chinese Taiping Rebellion against the Qing Dynasty. We can tell them the story of the escaped slave Harriet Tubman returning to the South to rescue her kinsmen, the story of six-year-old Ruby Bridges facing threats to integrate her elementary school, and the story of how the Mau-Mau uprising led to modern-day Kenya. We can tell the stories of Mexican-American union organizer Cesar Chavez and of Malala Yousafzai surviving an assassination attempt to advocate for female literacy. The world does not lack for stories of oppression and liberation that can capture the attention of a six-year-old. Q: That’s… huh. What stories might they hear in second and third grade? Egan gives examples, but I won’t list them here. He suggests we use a similar approach for each, except that we swap out the binary each year. He thinks “the struggle for security against danger” would work well for year two, and “the struggle for knowledge against ignorance” would work well for year three. (That year could have a lot of overlap with the science curriculum.) Q: Anything else, for history? Yes — they should get a sense of Big History. They should get some simple stories about the ice age, the Cenozoic, the age of dinosaurs, the Paleozoic, the origins of our solar system, and the Big Bang. (Because if the ancient Norse can tell their story of the beginning of the universe, by gum, we can tell ours, too.) To sum up Egan argues that the problem of early schooling is that it’s trivial — and it’s trivial because the dominant theories of educational psychology see children as lesser versions of adults. What else would we teach them, except dumbed-down versions of what adults learn? But children have certain cognitive strengths that schools aren’t making systematic use of. If we rebuild elementary schools on those strengths, we could turn schooling upside down. We could stop seeing the curriculum as a bag of information to impart, and start seeing it as a set of great stories to tell — and invite kids into. Kids could experience (both intellectually and emotionally) the great struggles of humanity and see that they can join in them. Students could experience the story of education as the beginning of a very real adventure. Egan’s elementary school: some skeptical questions Q: I’m not sure I’m understanding what you mean by “mental images”. Care to explain? It’s an interesting fact of human cognition that just a few words can whip up a complex mental experience. Egan doesn’t just mean what we might call “visual imagery” — the ability to hold, say, the image of a bespectacled, spat-wearing duck in your mind without seeing a photograph. He’s also including what psychologists call auditory imagery, olfactory imagery, gustatory imagery, and tactile imagery. Q: How could all of that be helpful in schools? Humanity has a built-in VR system, and we’re not using it! Egan invites us to pretend we’re teaching a class about the humble earthworm. We might list off facts — “earthworms are so many centimeters long, move through soil by means of their something-or-other muscles…” but he suggests we can evoke images, say, “of what it would be like to slither and push through the soil, hesitantly exploring in one direction then another, looking for easier passages, contracting and expanding our sequence of muscles segment by segment, and sensing moisture, scents, grubs, or whatever”. Those facts are now felt by the student; the knowledge has become part of them. And just a few words can spark a complex mental experience, one going beyond literal images to include imagined sounds, smells, tastes, and more. These experiences can feel real and stick with us. (That these mental images are so easy to evoke, and so meaningfully felt, feels something like the proverbial hundred dollar bill on the ground.) Q: How could metaphors be helpful? It really is interesting that so much of the “constructivist” turn in psychology — that is, the notion that children don’t absorb knowledge, but construct it — has continued to focus on logics-mathematical reasoning, when there’s been mounting evidence for decades that metaphors are more central. It’s not just that we use metaphors to better understand things we already know, we also use them to grasp new knowledge. What’s more, psychologists have devised tests to measure the skill at metaphor-making, and have given them to people of different ages. What they found was that eleven-year-olds make more metaphors (and higher quality metaphors) than do undergraduates — and that four-year-olds have both groups beat. Again, hundred dollar bills on the sidewalk. Q: Your talk of “binaries” has me worried — binaries like good/evil and male/female are the source of so many of our most pernicious stereotypes! Isn’t the purpose of education to get us beyond stuff like this? Yes, it is! Education is supposed to complicate our understanding — but that means we’ve gotta start somewhere, and binaries provide us a natural starting place. As an uncontroversial example, think about temperature. We all begin as babies by perceiving two temperatures — hot and cold. Later, we add on intermediate categories — warm and cool. (Note that the human body is the assumed mid-point to temperature. Binaries often work like this; “big” and “small” mean “bigger or smaller than me”, “nasty” and “kind” mean “nastier or kinder than I am, except when my brother is really asking for it”, and so on.) A good story (and an Egan-inspired elementary curriculum is, in a sense, nothing but good stories) will go further, and transform the binary. Toy Story is grounded in the binary of abandonment/belonging: at the beginning, the toy cowboy Woody belongs to his owner, and has his affection. Then a rival comes who threatens his belonging. In trying to get back to belonging, Woody is entirely lost — and to save the day, he has to come to a deeper understanding of what belonging means. Now, all lessons can’t be Pixar movies. But the good stories (especially in literature and history) will challenge and subvert the binaries they begin with. Q: I see the pattern of Egan drawing from “as many cultures as possible”. Why so many? Is this a political correctness thing? If it helps to think of it as such, then, sure! I don’t think Egan would have had a problem with that. But his ultimate reason for including so much diversity goes deeper. For Egan, including such world-wide diversity isn’t optional, and the answer to why is bound up in his definition of education. (Keep reading.) His answer also insists that we, whenever possible, also include stories from the Bible and Homeric epics (the Iliad and Odyssey). Q: Mmm, stories from the Bible aren’t going to fly in my local school! So be it! Egan doesn’t spend much time obsessing over the practicalities of… His interest is in describing what an ideal education might look like, if it were possible. Every lesson, every classroom, and every school is necessarily a compromise. Q: You make a big deal of poems. But isn’t poetry dead? An interesting contrast can be made to classical education, which also has kids read a lot of poems — they see knowing great poems as one of the marks of an educated person; again, for an academicist, it’s the information that transforms. Egan begs to disagree. Poems are important because they’re a wonderful way to train their cognitive strengths, like rhythm (poems are language fueling by thumping). We want to help kids learn to use this tool better, and a great way to do that is to help them recite poems that they’ve learned by heart. Q: “Learn by heart” — is that code for “memorize”?! It is! Egan is actually quite big on memorization — he points out that all the knowledge in the world can do nothing for a person once they’ve forgotten it. He didn’t, however, appreciate the academicist focus on memorizing without understanding (or at least enjoyment). Q: I’m still worried about the science curriculum, as you’re describing it. Can you allay my fears? Honestly, while I feel there’s something profoundly right to how Egan is describing early experiences of nature, I feel the same way. Note that there’s more science coming in the social studies curriculum. But if that’s still not enough, one could bring down aspects of the middle school science stage. Q: Anything else that Egan suggests we do in elementary school literature and language? He suggests that we help kids learn a second language! This is so obviously true (why do American schools typically wait until kids lose the ability to naturally absorb languages to start teaching languages?) he doesn’t belabor it, though. Q: You had mentioned that Egan’s vision seems more internal-focused. Should we be worried about that? While I strongly suspect that his curriculum would make kids more creative in any way you’d like to measure it, Egan wasn’t particularly interested in “creativity” — he was more about helping kids find the world interesting. I get the sense that he thinks kids will do things with minimal prompting once they’re loaded up with complex internal experiences. Q: I think I’m beginning to understand Egan — is he basically saying “make learning fun”? “Fun”, applied to education, is a dangerous word. Egan worries about the dangers of an emotionally unserious curriculum producing emotionally stunted adults. That doesn’t mean we need to tell students only “serious” stories — only that we treat the world honestly. “Disney-esque sentimentality is the exact emotional equivalent to intellectual contempt”. Q: But aren't some of these stories too dark for children who have themselves experienced oppression and disaster? Egan argues that these stories may be especially helpful to them — they can help them understand their struggles better, and give voice to them. Q: At the very start of this, you promised us “rationality”… but I’m not seeing rationality here! All this talk of “adventure” almost seems to go the opposite direction. What gives? Wait for it. But for a hint right now — Egan is fond of citing his fellow educational theorist Jerome Bruner, who claimed “any subject can be taught effectively in some intellectually honest form to any child at any stage of development”. Bruner was criticized for that; his critics charged that he was ignoring learning differences and socio-economic realities. Egan thinks he was profoundly right. Part 3: A new kind of middle school What’s the matter with middle school? What was middle school like for you? In math, I recall a jumble of barely-related topics. In literature, I remember reading great literature — Frankenstein, Romeo and Juliet — only in their dumbed-down summary formats. In social studies, I remember teachers proclaiming on the first day of class that unlike all of our previous history classes, this class wouldn’t be about names and dates… and then going on to memorize names and dates. And in science, I remember being forced to dissect a frog only to discover that frogs are — you guessed it — made of slimy frog parts. Your mileage may vary, but for a lot of us, middle school feels like getting booted out of the (in retrospect) Eden of elementary school, and like marking time before the serious studying of high school. It feels meaningless. In my favorite of his books, Egan calls so much middle school curricula “human deserts”, noting “we have created a system in which the importance of human emotions for meaning seems barely noticed”. Why so meaningless? If our dominant approaches to educational psychology fundamentally misinterpret younger children, Egan suggests, they basically throw up their hands when faced with pre-teens and teenagers. Mainstream schools begin to introduce vocational training to help lighten the load, and Maria Montessori famously suggests that adolescents should be sent to go run a farm. Egan is sympathetic to those responses, but points out that they don’t do much to lighten the load that the academic curriculum often becomes at this age. This feeling of meaninglessness, he argues, is utterly tragic — it comes just when a hunger for meaning blossoms in adolescents! We can see that hunger for meaning in their lives outside the classroom, where their interests ramp up into veritable obsessions. What are adolescents obsessed with? What might we see, if we become Jane Goodalls of early adolescence? First, teens are obsessed with gossip. The motivations of others — why did he do that? and what was he THINKING? — are hypothesized and talked to death. Second, that they’re pulled toward idealism. Many feel a dissatisfaction with the world as it is, and feel a romantic urge to make it a better place. They’re often lured into simplistic beliefs that promise to help them do that. Third, they love extremes: they want to find limits, and test them. Obviously, this can show up as risky behavior, but we can also see it in their love for the bizarre — note adolescents’ fascination in things like aliens, cryptids, and ghosts. (Egan loves pointing out that The Guinness Book of World Records is a perennial bestseller among kids at this age. How else would they find out who had the world’s longest fingernails?) Fourth, they gravitate toward heroes — people who push the edges of those limits. By celebrating heroes, they can vicariously share in their transcendence. Look for the posts hanging up in a teenager’s bedroom to guess what boundaries they feel most hemmed in by: athletes push against physical limits; a death metal guitarist might push against authority and conventional morality. An activist or entrepreneur might push against our dulled morality or our sense of what’s possible. Finally, we might spot teens taking up hobbies and making collections. Hobbies can be a way to identify yourself as part of a group against the rest of the world (“I’m the sort of person who goes bird-watching!”), and collections can be a way to climb the status ladder inside the community. Egan points out that a collection can also be a way to feel like you have control over what you’re discovering is a very big and complex world of detailed information (“I’ve spotted every one of the fifty most common birds of Texas — even the black-capped vireo!”) Egan’s insight is that these obsessions give teenagers a sense of meaning, and that we can use them as tools to make middle schools that overflow with meaning. From meaningless to meaning-soaked Again, Egan sketches out a new kind of curriculum subject-by-subject. Before, his trick was to ask where the subject first evolved out of; now, it’s to ask who first discovered or created the specific content we’re teaching. “All knowledge”, he writes, “is human knowledge. Everything we know is knowable through the lives of its inventors, discoverers, or users, and we can have access to that knowledge through the hopes, fears, or intentions that drove them”. Middle school math Who first discovered the concepts students learn in math? The answer, of course, is a wide diversity of curious men and women living across the world over the last few thousand years. Egan says: bring those people into how we teach math. If we used gossip and heroes to help students find it meaningful, what kind of math would result? When we teach the Pythagorean theorem, we should give a sense of who Pythagoras was — a cult-founder who worshiped numbers to find God, whose followers (according to a piece of ancient gossip) murdered one of their members who discovered irrational numbers! Q: Well, sure, that works for Pythagoras, but he’s a known nut job; surely most math doesn’t come from such interesting roots? When we teach the Cartesian coordinate system, students should meet Rene Descartes, the Calvinist French polymath who saw the possibility that math could decipher the world, if only we could unite algebra and geometry… and invented the xy-plane to do exactly that. When we teach scientific notation, we should call our students’ attention to the importance of the number zero, and tell them the story of the Pope who tried to introduce Arabic numerals to Christian Europe and may have been assassinated because of it. When we teach algebra, we should ask students why “algebra” is Arabic for “the fixing of bones”, and tell the story of what Muhammad ibn Musa al-Khwarizmi was up to. We could do this all day. Literally everything students learn in school was first invented or discovered by some interesting person who was struggling to accomplish something hard. To learn is to connect with those people, whether we know it or not. Egan says: help kids know it. Math has been dehumanized: re-humanize it. Q: So the math curriculum needs to become a history of math curriculum, and math teachers need to become history teachers? No, the content needn’t change. But with surprisingly little work, we can bring in the gossipy stories of heroes, and their obsessions can spread to students. Middle school science Who first discovered the things students learn about in science? If you’re thinking “scientists”, you’re only partially right. Most of the big-picture ideas that we now think of as “science” were discovered before the word “scientist” was invented, or the discipline was professionalized. Frequently, they were hatched by true amateurs, working in their free time, hungry to unlock the secrets of nature. We can use gossip and heroes to spread their obsessions to students just as we taught math, but Egan points out two twists. The first is that the content itself can take on heroic qualities: everything is impressive, when you look at it in a certain light. In an interview, Egan once said: “My book is an attempt to show that, indeed, everything in the world is wonderful, but that schools are designed almost to disguise this slightly shameful fact. We represent the world to children as mostly known and rather dull. The opposite is the case: we are surrounded by mystery, and what we know is fascinating”. What would even the most boring subjects look like, if we emphasized their heroic qualities? Well: What’s a tooth? Bone, wrapped in rock, surrounding tiny cells that your body feeds with blood. What’s a bar of chocolate? A crystal of jellyfish-shaped fat molecules stacked together; when you put it in your mouth you shake them apart into a writhing confusion. What’s the air around you? The bottom of a 10-mile-deep ocean; when you put your tongue over a soda straw and your Pepsi stops leaking out, it’s not because a “vacuum” is “sucking” it up, but because that ocean is squeezing it into your face. Again, we could do this all day! And in middle school science, we can. Everything in the world is wonderful; we can help students see this again and again. The second twist is that science is a subject rich in extremes. Here Egan introduces a concept that we’ll see crop up again: “15-minute segments”. To help us fit as much wonder as possible into a school day, he suggests we supplement the usual school subjects with a few quick lessons. To infuse science with extremes, he suggests we add on three: “human & natural records”, “extremes of animals & plants”, and “cosmology”. Middle school history Who first made the things students learn about in history? Why, the historical characters themselves! Since we’ve given kids a grounding in history in elementary school, now we can build on that, going through many of the same events as before, but in more depth, and more vividly. We’ll leverage the interest with other people’s inner lives to tell stories focusing on the perspectives of the people who made history — zooming in, when possible, on scandalous details. We’ll leverage the tool of idealism to choose historical characters who chafed against their surroundings, and understand what they were trying to accomplish. What was their vision of the world? What did they hope for, and what did they fear? Q: Isn’t the “great man” approach to history out of fashion? Egan’s approach doesn’t say that “great men” made history — it’s just leveraging gossip to help kids see history as something meaningful that can expand their own possibilities. “Early adolescence is commonly a time of intense and vivid emotional life, and also a time of deepest boredom and depression… [We] can give shape to the intermediate curriculum and offer the students a world that is rich, complex, varied, and as intense and vivid as their own emotional lives”. We also should add on another “15-minute segment” just to pump in as many biographies as possible, and from people who don’t always fit into the normal history curriculum. Call it “Brief Lives”, and throw in anyone who’s struggled to push some limit — Mary Wollstonecraft, Jesse Owen, Dietrich Bonhoeffer, one of the students’ great-aunts, whoever. As students get older, this can transition to “People and Their Ideas”. Here, we’d focus less on the details of the person’s life, and use it as a backdrop to showing how meaningful some of history’s most important ideas could be. Think Aristotle and syllogisms, Edward Said and orientalism, Confucius and propriety, Cornel West and race, Buddha on the four noble truths, Muhammad and the five pillars, Karl Marx and communism, Adam Smith and the invisible hand, Thomas Hobbes and the state of nature, John Locke and natural rights, Jeremy Bentham and utilitarianism, Thomas Aquinas on the sacraments, Martin Luther on faith, Voltaire on the freedom of speech… you get the idea. Q: Can you really get a profound understanding of utilitarianism in 15 minutes? Yes! The point of this segment isn’t to develop a systematic understanding of any one idea, it’s to introduce students to the exciting possibilities of human thought. (As a bonus, this might make them less likely to fall for the first ideology that they encounter later in life.) Diversity is important for this — as it is with culture. Throughout this, we should also be trying to expose students to as much cultural diversity as possible, because in high school, we’ll be trying to make sense of our society, and it’s impossible to do that unless we have something to compare it against. Middle school literature & language You might think that this subject would be easy — that middle school literature is already filled with “strong and clear narratives”, that it deals with “transcendent human qualities such as courage, love, and persistence”, that it focuses on “extremes of human experience”, that it examines “something strange and exotic”. You’d be right! Egan’s pretty happy with a bog-standard middle school literature curriculum, done well. In this part of the book, his spends most of his limited space suggesting three rather odd activities which could also be useful — especially for increasing students’ awareness of language, so they can use it better. The first is etymology — not, however, memorizing lists of roots, but in being told the entertaining backstories of specific words. Take the word “berserk”, for example — we now use it to mean something relatively mild (“if my mom catches me coming home late, she’ll go berserk”), but it comes from an old Norse word meaning “a raging warrior of superhuman strength”. And that’s because ber meant “bear” and serk meant “shirt”: soldiers of the bear cult would don the skin of a bear to, in their minds, transform into one — howling, foaming at the mouth, and gnawing the rims of their shields. (Most adults walk through life with little understanding that the words falling out of their mouths are entities, with their own back-stories. Communication is, at the very least, more interesting when we become aware of this.) The second is to add on another language to learn — not, this time, to become fluent in it, but just to become aware of how very different human languages can be. (For native English speakers, Sanskrit might work well, or Cantonese, or perhaps even ancient Egyptian. Again, the point isn’t for this language to be useful — it’s to explore diversity.) The final one is to study humor — not just jokes anymore, but comedy at its finest. Egan cites (at length!) Monty Python as a group of people who were particularly brilliant in their use of the English language. Examining their skits can lead us into not just an appreciation of semantics (the study of how meaning is made from smaller pieces, like etymology) but also pragmatics (the study of how meaning is made in social situations). Pretty heady stuff, for a conversation about a dead parrot. Part 4: A new kind of high school I’ll confess — I loved parts of high school… and among nerdy folks, I suspect I’m not alone. For some of us, this was a golden time. Even at my local public high school, I had access to academically thrilling classes — especially, in my last two years, advanced literature and history. I felt like I was finally understanding the ideas that mattered. In any case, Egan is quick to acknowledge that, at this level, the sort of education he advocates really is being practiced in some places. What he can add is an understanding of what makes it wonderful, how to make it even more wonderful, and how to make it wonderful for many, many more people. What’s the matter with high school? Far too often, even when high school classes are intellectual, they’re dry. For the majority of students, all this academic stuff is experienced as utterly lifeless, a mass of dead information to be squeezed inside one’s head for a test and then left to evaporate. Egan mocks the curriculum wars that seem to be a permanent feature of the teaching life; quoting the sociologist Pierre Bourdieu, he says “while the academic left and right bicker over whether the curriculum is too traditional or too radical, they fail to recognize that most students absorb so little of academic culture that the bickering is largely irrelevant”. Why so dry? Egan suggests three reasons to explain this. First, because high school academic classes are too often masses of small details with no sign of the big picture. Second, because they’re typically slavishly disciplinary, and aren’t able to address the questions that span the disciplines. Third, because they’re often designed to bring students through what everyone is sure of, and hide away any controversies. In all of these, Egan suggests that what’s called “academics” in high school is too often a dim imitation of what real academics are actually practicing. There’s a fourth reason, though, and it’s probably the biggest of all — by the time they get to high school, most students haven’t actually learned that much! An academic approach is designed to connect small details into the big picture; for people who arrive in high school (and college) classes without having already collected much in their heads, academics are going to taste dry. (An implication of this for anyone trying to improve schools is that we might not want to start with high schools. If your goal is to create a new kind of academic learning, first start at elementary school — or barring that, middle school.) What motivates mad scientists? When we wanted to re-conceive the elementary and middle school curriculums, we looked at what students were already good at — kids’ cognitive strengths and adolescents’ obsessions. For this level it might be easier to look — for reasons that will become clear when we finally unveil Egan’s crazy-sounding definition of education — at the sorts of things that bring intellectuals joy. Q: Which intellectuals? Take your pick. Galileo, Einstein, Smith, Marx, Goodall, Chomsky, Curie… all the people who took to the life of the mind like fish to water. But that’s a lot to hold in my mind at once, so I’m just going to think about Doc Brown from Back to the Future: He was high on intellectualism I’ve never been there, but the brochure looks nice Let’s call these people “mad scientists”. And let’s pretend we once again took up our job of being primatologists, and snooped on these folks “in the wild” (“in the lab”? this is beginning to get recursive…)… what would we find motivating them? Asking simple questions, for one. (What is space? What is society? What is a human? What is language?) Building general schemes (big theories) that hold lots of evidence together. Finding their place in the cosmos. And (perhaps above all) seeking certainty. Once again, Egan suggests we use these as tools to remake the curriculum. From dry to daring What could a high school curriculum look like, if it were rebuilt on these tools? Once again, Egan has a trick. This time, it’s to ask what fights have driven the development of each of these fields forward — and how we can help students enter them. First, a mini-segment! Intellectuals invented the academic disciplines to better pursue the life of the mind, but the disciplines can get in the way. Some of the most important intellectual discoveries that could help students are too big to fit into any of the disciplines. We need a place to introduce them plainly. Egan proposes another mini-segment — again, just 15 minutes a day, a few times a week — called “Metaknowledge”. Q: Isn’t that already in the International Baccalaureate program? Yes, he acknowledges that he’s borrowing from that! This segment would introduce ideas that would enrich student thinking across the disciplines: game theory, cognitive biases, systems thinking, Bayesian reasoning, epistemology, ethics, logic, cultural evolution, and so on. High school literature How can we help students enter the big fights of literature? Intellectuals of a literary bent — professors, critics, poets, novelists — delight in arguing over literature like rabbis arguing over the Talmud. Take, just for one example, the debates over Shakespeare’s character of Ophelia. Does she love Hamlet, or is she a victim of his emotional abuse? Is she truly insane, or is she acting? Is she passive, or is she pulling the strings? Oceans of ink have been spilled arguing over questions like these; our students can, perhaps, spill a few ounces more. The usefulness of arguing literature, for Egan, isn’t that it’s oh-so important for educated adults to know a lot about Ophelia. (This, again, was where the academicists went wrong — in thinking that being educated was about getting the best knowledge in your head.) Rather, arguing over literature is a training arena for the all-important intellectual move of this kind of understanding: building general schemes out of evidence, and struggling with anomalies. One person, for example, might hold that Ophelia is insane, and cite all sorts of obvious evidence — her father just was murdered by her lover, she rants nonsense while (bizarrely) handing out flowers to friends… But then he’s challenged when he reads a scholar pointing out that, to people in Elizabethan England, types of flowers have symbolic meanings. How does he deal with that? He could ignore it, claiming it an over-reading of Shakespeare. (Sometimes a flower is just a flower!) Or he could address it, complicating his own scheme. This intellectual work is best done with other people, who are incentivized to challenge your understanding of something, and go back and forth, building competing models and calling attention to anomalies. This process — the “dialectic” — pops up again and again in the academic disciplines. It’s the center of how understanding works, at this stage. And the nice thing about practicing it on literature is that, more so than in history or science, the evidence is shared knowledge — it’s right in front of everyone, written out. But there are other ways literature class can be helpful to the general life of the mind. Egan also suggests that we’ll want to specially include literature that helps students understand complex ideas. Camus, Orwell, Borges, Calvino might be particularly helpful here… and I imagine that genres like science fiction and magical realism might be particularly useful, too. (Note, though, that once again none of this requires a radical remaking of the curriculum, or of the canon of texts that we traditionally assign to high schoolers.) Q: Oh yes, the canon — what does Egan have to say about the canon wars? When he wrote Educated Mind in the nineties, the long-brewing canon war was approaching its inevitable apocalyptic climax. On one side of this Plain of Megiddo were the pro-canon traditionalists, arguing that we should keep assigning the texts that had been argued over for centuries. Facing them were the anti-canon reformers, arguing the standard texts over-represented the perspective of dead white men. Onto the middle of the plain rides Egan on a white horse, who bellows above the din: “I’VE GOT A BUSLOAD OF HIGH SCHOOLERS WHO WANTS TO JOIN IN, EVERYONE OKAY WITH THAT?” To do so, he says, we need to give students the arguments from both sides. So, for example, bell hooks, Edward Said, and China Achebe should be on the syllabus, as should Allan Bloom, Mortimer Adler, and Diane Ravitch. And of course they should actually read the texts cherished by both sides, too, so they can argue better. High school history How could entering the big fights help us reinvent high school history? First, we might look for dueling histories. It’s time for students to get into historiography and understand that history isn’t just what happened, it’s something we make. We might help kids read chapters from Howard Zinn’s socialist history of America alongside the corresponding chapters from Paul Johnson’s conservative history of America. How could big questions help? We want to help students see how various people have disagreed over some of the big questions of what human history is, at its most basic. We can have them compare Steven Pinker’s theory of civilization’s progress (Better Angels of our Nature) with Yuvah Noah Harari’s theory of civilization’s woes (Sapiens). We could have them compare so-and-so’s account of human history as an ever-expanding unlatching of energy sources with Robert Wright’s account of human history as unlatching more and more positive-sum games (Nonzero). What role could the lure of certainty play? To help them grow their skills at finding anomalies, we might help them work through pseudo-histories and conspiracy theories. Q: Conspiracy theories! Oh, come now, you’re playing with fire. Well, the world is on fire. Our students will spend the rest of their lives encountering terrible-but-beguiling arguments about how the world works; if we don’t prepare them for those, what have we been doing? So we should introduce arguments that the Moon landing was a hoax, that the Illuminati founded America, that aliens built the pyramids, and so on. At no point can we demean students for falling for any of these theories — the job of a teacher at this stage, Egan writes, is to support students in their reasoning even when their beliefs are offensive and stupid, gradually offering anomalies. There’s no way out of bad theories except through them. By the time students graduate, we want them to have wrestled with terrible ideas and — for a while — lost. They need to experience what it’s like to change their minds about something they felt strongly about. They need to viscerally realize, in Feynman’s famous phrase, “The first principle is that you must not fool yourself and you are the easiest person to fool.” High school natural science How could entering the big fights reinvent high school science? At present, so much of the high school science curriculum — especially “honors” classes — is oriented toward helping amass details. (The same is true of 100-level university classes, which famously “survey” the field to prepare for more advanced studies. I always thought this was stupid — of the huge lecture hall of students in my Geology 100 class, how many went on to take even a second course?) The meaty debates that propel science forward are held back. Egan complains: “The more general and speculative theories in any discipline are treated like an unconventional and disreputable relation who, even though the children find her exciting and entertaining, must be kept hidden from view, her very existence denied as long as possible”. This is a stupid approach — students with an adventurous bent are convinced that science isn’t for them. Egan proposes, simply, that we flip this, and organize high school science classes around the big debates. We shouldn’t be ashamed at how, well, adolescent this might look: “the dramatic, speculative, and contentious theories will be up-front in the early years of the [high school] curriculum”. What might those be? Egan doesn’t give a list, but we can spitball some: instead of explaining what “matter” is from the top down, a physics class could problematize “matter” by following the debates over the nature of dark matter and dark energy, and by becoming familiarized with the various interpretations of quantum mechanics
Bolshevik

Bolshevik is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 04, 2024 and December 04, 2024. The archive places it in contexts such as "ceded to the Bolshevik idea of a “dictatorship of the proletariat”". It most often appears alongside 3D printing, Abercrombie & Fitch, AI.

Reference entry
Bolshevik
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1
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December 04, 2024
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December 04, 2024
December 04, 2024 · Original source
Ironically, real workers hated the modernist styles, and could only be forced into them when there was nowhere else to go. The architects were unfazed. The Romantic ideal of the artist said that real artists considered their clients Philistines and paid no heed to their preferences; the less you cared about your clients’ opinion, the realer and more romantic an artist you were. There was a slight hiccup in adjusting this philosophy to socialism, but only slight: by this time, classical Marxist philosophy had already ceded to the Bolshevik idea of a “dictatorship of the proletariat” where communist-theory-educated elites needed to re-educate the workers into accepting their own class interests. Wolfe describes the overall effect in Stuttgart:
Bolshevik Revolution

Bolshevik Revolution is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 21, 2021 and January 21, 2021. The archive places it in contexts such as "It really makes sense to compare my attempted doxxing to the Bolshevik Revolution". It most often appears alongside 7500 people signed a petition, Alex Tabarrok, Balaji Srinivasan.

Reference entry
Bolshevik Revolution
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1
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January 21, 2021
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January 21, 2021
January 21, 2021 · Original source
I got an email from a Russian reader, which I will quote in full: "In Russia we witnessed similar things back in 1917. 100 years later the same situation is in your country :)". I am not sure it really makes sense to compare my attempted doxxing to the Bolshevik Revolution, and that smiley face will haunt my dreams, but I am humbled by his support.
Boltzmann brain

Boltzmann brain is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 21, 2025 and February 21, 2025. The archive places it in contexts such as "you’re a Boltzmann brain". It most often appears alongside /r/slatestarcodex, ACX, Adrian.

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Boltzmann brain
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1
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February 21, 2025
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February 21, 2025
February 21, 2025 · Original source
Tegmark's Mathematical Universe theory faces similar problems to more standard physical multiverse hypotheses as a response to the fine-tuning argument. First, it predicts that most observers would be "Boltzmann Brains".
It's not right that, as the post suggests, "a conscious observer inevitably finds themselves inside a mathematical object capable of hosting life." Although most mathematically possible universes have parameters that don't allow for complex life to evolve in the way we think it did in our universe, that doesn't mean there are no observers at all in those universes. Even in a universe at a state of thermal equilibrium (maximum entropy), there should be very infrequent chance fluctuations that lead to Boltzmann Brains: particles that have organized themselves into a functioning brain in a sea of chaos surrounding them. And while these fluctuations are very infrequent, since a fine-tuned universe is so unlikely, in the space of all possible universes, there are still vastly more Boltzmann Brain observers, most of whose experiences are a jumbled mess, than there are observers with highly ordered experiences as of a fine-tuned universe.
Boltzmann brains are a problem for even a single universe - the classical “Boltzmann brain” paradox assumes the universe will have some amount of normal life in the “early years” when stars and galaxies will still form, and then only (spectacularly rare) Boltzmann brains in the later years after all matter has decayed. But since the early years are finite and the later years (potentially) infinite, there will be more Boltzmann brains than normal life.
Boltzmann Brains

Boltzmann Brains is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 21, 2025 and February 21, 2025. The archive places it in contexts such as "predicts that most observers would be 'Boltzmann Brains'"; "it’s more likely for a single brain to arise as a fluctuation than for the whole universe to do so"; "Boltzmann brains floating in the void". It most often appears alongside /r/slatestarcodex, ACX, Adrian.

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Boltzmann Brains
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February 21, 2025
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February 21, 2025
February 21, 2025 · Original source
Tegmark's Mathematical Universe theory faces similar problems to more standard physical multiverse hypotheses as a response to the fine-tuning argument. First, it predicts that most observers would be "Boltzmann Brains".
It's not right that, as the post suggests, "a conscious observer inevitably finds themselves inside a mathematical object capable of hosting life." Although most mathematically possible universes have parameters that don't allow for complex life to evolve in the way we think it did in our universe, that doesn't mean there are no observers at all in those universes. Even in a universe at a state of thermal equilibrium (maximum entropy), there should be very infrequent chance fluctuations that lead to Boltzmann Brains: particles that have organized themselves into a functioning brain in a sea of chaos surrounding them. And while these fluctuations are very infrequent, since a fine-tuned universe is so unlikely, in the space of all possible universes, there are still vastly more Boltzmann Brain observers, most of whose experiences are a jumbled mess, than there are observers with highly ordered experiences as of a fine-tuned universe.
Boltzmann brains are a problem for even a single universe - the classical “Boltzmann brain” paradox assumes the universe will have some amount of normal life in the “early years” when stars and galaxies will still form, and then only (spectacularly rare) Boltzmann brains in the later years after all matter has decayed. But since the early years are finite and the later years (potentially) infinite, there will be more Boltzmann brains than normal life.
Boltzmann fluctuation

Boltzmann fluctuation is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 21, 2025 and February 21, 2025. The archive places it in contexts such as "people thought maybe the entire universe arose as a Boltzmann fluctuation". It most often appears alongside /r/slatestarcodex, ACX, Adrian.

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Boltzmann fluctuation
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1
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February 21, 2025
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February 21, 2025
February 21, 2025 · Original source
I think people think it’s devastating because they’re confusing it with an older argument, from back before Big Bang theory, when people thought maybe the entire universe arose as a Boltzmann fluctuation. Here people objected that it’s more likely for a single brain to arise as a fluctuation than for the whole universe to do so. But Tegmark’s theory doesn’t claim that universes arise as Boltzmann fluctuations, so it’s possible for universes to be more likely than Boltzmann brains.
bone cancer

bone cancer is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 02, 2021 and December 02, 2021. The archive places it in contexts such as "colon cancer is different from bone cancer". It most often appears alongside Alexandre Gueniot, Algernon’s Law, Alzheimers.

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bone cancer
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1
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1
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December 02, 2021
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December 02, 2021
December 02, 2021 · Original source
But his second argument is: we put a lot of time and money into researching cures for cancer, heart disease, stroke, Alzheimers’, et cetera. Progress in these areas is bought dearly: all the low-hanging fruit has been picked, and what’s remaining is a grab bag of different complicated things - lung cancer is different from colon cancer is different from bone cancer.
bonobo study

bonobo study is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 05, 2023 and June 05, 2023. The archive places it in contexts such as "Maybe I was metamistaken in saying I was mistaken about the bonobo study". It most often appears alongside Anna M, Astralcodexten Com, Australia’s National Sorry Day.

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bonobo study
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1
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1
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June 05, 2023
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June 05, 2023
June 05, 2023 · Original source
2: Some link corrections: Canada’s population center may not be in Michigan. Nisean horses might be fake? (although clearly by Roman/Byzantine times there were specific horses people thought were Nisean) Australia’s National Sorry Day is minor and not helpful. Maybe I was metamistaken in saying I was mistaken about the bonobo study, I don’t even know anymore and will have to look into this in more depth.
Bonus Army

Bonus Army is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 20, 2021 and February 20, 2021. The archive places it in contexts such as "an upcoming march on Washington by a Bonus Army-style group of unemployed people". It most often appears alongside Archangel Gabriel, Army Of Public Works, Congress.

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Bonus Army
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1
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1
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February 20, 2021
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February 20, 2021
February 20, 2021 · Original source
Doctors return his comatose body to the White House. When he wakes up, he seems different. Less charming. More focused. The immediate crisis is an upcoming march on Washington by a Bonus Army-style group of unemployed people. His rich friends and advisors and Cabinet Secretaries tell him to send in the army and break up the vagrants. He says no. He is going to meet with them, treat them as brothers and sisters, and accept them as an indictment of the entire economic system. His rich friends and advisors are scandalized. One (maybe the Secretary of State?) threatens to resign. The President accepts his resignation, then marches purposefully out of the room.
When he reaches the Bonus Army encampment, he strides in purposefully (over the protests of his security detail) and gives a stirring speech about how America has betrayed its grand ideals and they deserve better than this. He promises to turn them into a vast army for creating public works for the common good, and says he will give them good conditions and excellent pay. They all cheer, for (we are told) none of them are lazy or communists, they are just work-loving people who have been cruelly barred from labor by the unfair system oppressing them. We pan back to the White House, where the President's rich friends and advisors are meeting in secret to discuss what to do about him. As they are gloating about the secrecy of their meeting, the President's personal secretary marches in and hands each of them a card, which turns out to say "You're fired" or some flowery 1930s statement to that effect. The advisors are flabbergasted - how did the President know they were there? Can he really fire the whole Cabinet and White House staff in one fell swoop?
Bootleggers

Bootleggers is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 11, 2022 and August 11, 2022. The archive places it in contexts such as "Quite the Baptists and Bootleggers alliance". It most often appears alongside atheists, Baptists, Bigfoot.

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Bootleggers
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August 11, 2022
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August 11, 2022
August 11, 2022 · Original source
The two most skeptical groups are . . . evangelicals and atheists. Quite the Baptists and Bootleggers alliance.
booze

booze is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 04, 2024 and January 04, 2024. The archive places it in contexts such as "people would spend whatever money they now spend on Instacart on something else (let’s say booze and porn)". It most often appears alongside ACX Grants, America, capitalism.

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booze
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1
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January 04, 2024
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January 04, 2024
January 04, 2024 · Original source
Job creation: Along with helping its customers, Instacart employs 10,000 full-time employees and 600,000 gig workers, so our $1 million investment might produce a few dozen jobs. That still doesn’t seem to counterbalance the advantage of Charity. But also (and I admit I have trouble thinking about this), it doesn’t seem obvious that Instacart “causes” jobs. Suppose Instacart had never been founded. Then people would spend whatever money they now spend on Instacart on something else (let’s say booze and porn), which would also create jobs (for brewers, bartenders, and porn stars). There’s no particular reason to think spending the money on Instacart creates more jobs than spending it on those other things would. So how many jobs does Instacart create over replacement? I’m not sure but I think it must be much less than the official number of employees.
Border

Border is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 17, 2021 and September 17, 2021. The archive places it in contexts such as "Gurri divides the world between the Center and the Border"; "Gurri talks a lot about Center and Border". It most often appears alongside 1/6 insurrection, Abdel al-Sisi, Abu Ghraib.

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Border
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1
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September 17, 2021
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September 17, 2021
September 17, 2021 · Original source
Gurri divides the world between the Center and the Border. He thinks the Center - politicians, experts, journalists, officials - will be in a constant retreat, and the Border - bloggers, protesters, and randos - on a constant advance. His thesis got a boost when Brexit and Trump - both Border positions - crushed and embarrassed their respective Centers. But since then I'm not sure things have been so clear. The blogosphere is in retreat (maybe Substack is reversing this?), but the biggest and most mainstream of mainstream news organizations, like the New York Times are becoming more trusted and certainly more profitable. The new President of the US is a boring moderate career politician. The public cheers on elite censorship of social media. There haven't been many big viral protests lately except Black Lives Matter and the 1/6 insurrection, and both seemed to have a perfectly serviceable set of specific demands (defunding the police, decertifying the elections). Maybe I've just grown used to it, but it doesn't really feel like a world where a tiny remnant of elites are being attacked on all sides by a giant mob of entitled nihilists.
Gurri talks a lot about Center and Border, but barely even mentions Left and Right. Once you reintroduce these, you have a solution to nihilism. The Left can come up with a laundry list of High Modernist plans that they think would solve all their problems, and the Right can do the same. Then one or the other takes control of government, gets thwarted by checks/balances/Mitch McConnell, and nothing happens. No American Democrat was forced to conclude that just because Obama couldn't solve all their problems, the promise of High Modernism was a lie. They just concluded that Obama could have solved all their problems, but the damn Republicans filibustered the bill. Likewise, the Republicans can imagine that Donald Trump would have made America great again if the media and elites and Deep State hadn't been blocking him at every turn. Donald Trump himself tells them this is true!
Or is this ignoring fundamental asymmetries? The Right can (sometimes) muster up trust in Donald Trump and Fox News, but they still seem pretty Border. Meanwhile, the center-left is celebrating mainstream journalists and universities and experts with a vigor that seems perhaps more desperate, but no less intense, than in the 20th century. Perhaps this will change; the Right could swing back to being Romneycrats, and Bernie and AOC could still take over the left. But so far it doesn't look that way. Maybe the occasional tendency of the US to switch party systems has captured the center-vs-border conflict and subsumed it into the broader left-right one.
Bore War

Bore War is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 20, 2021 and September 20, 2021. The archive places it in contexts such as "the British called it the Bore War". It most often appears alongside 4chan, A Clockwork Orange, Adrenochrome.

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Bore War
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1
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September 20, 2021
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September 20, 2021
September 20, 2021 · Original source
5: The Phoney War was the eight months at the beginning of WWII when nobody was doing large-scale fighting. Everyone had different clever puns making fun of this: the British called it the Bore War; the Germans called it the Sitzkrieg. Anyway, be careful what you wish for.
Bored Ape

Bored Ape is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2022 and February 01, 2022. The archive places it in contexts such as "Bored Ape floor price below current price". It most often appears alongside 2022 Winter Olympics, 538, Academy Awards.

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Bored Ape
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1
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1
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February 01, 2022
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February 01, 2022
February 01, 2022 · Original source
ECON/TECH 11. Gamestop stock price still above $100: 30% 12. Bitcoin above 100K: 20% 13. Ethereum above 5K: 20% 14. Ethereum above 0.05 BTC: 90% 15. Bored Ape floor price here below current price of $203K: 40% 16. Dow above 35K: 90% 17. ...above 37.5K: 40% 18. Inflation for the year below five percent: 90% 19. Unemployment below five percent: 50% 20. Google widely allows remote work, no questions asked: 50% 21. Starship reaches orbit: 90%
Bored Ape NFTs

Bored Ape NFTs is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 26, 2022 and April 26, 2022. The archive places it in contexts such as "people who want Bored Ape NFTs". It most often appears alongside A Clinical Introduction To Lacanian Psychoanalysis, aphantasis, Astralcodexten Com.

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Bored Ape NFTs
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1
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1
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April 26, 2022
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April 26, 2022
April 26, 2022 · Original source
And his theory of desire settles on something like mimesis: we want things that other people want, or we want to be that which other people want. Here we veer dangerously close to triviality again. Some people definitely do this, like people who want Bored Ape NFTs, or people who want to be rock stars. Other people definitely don’t do this, like that guy who obsessively collected streetcar tickets. Is it fair to say that this is some kind of basic human drive? I’m not really sure. Probably Lacan’s theory is much more complicated than this, but if so I don’t understand how.
Borgias

Borgias is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 18, 2021 and August 18, 2021. The archive places it in contexts such as "Ever wonder what happened to the Borgias after the Renaissance? Apparently they’re still around". It most often appears alongside Aalto, AI risk, China.

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Borgias
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1
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1
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August 18, 2021
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August 18, 2021
August 18, 2021 · Original source
1: Ever wonder what happened to the Borgias after the Renaissance? Apparently they’re still around, and one of them - Rodrigo Borja Cevallos - was president of Ecuador back in the 90s. A lot of the Spanish branch of the family (who spell their name “Borja”) seem to have ended up in Latin America, which makes me curious whether Cuban-American immigration economist George Borjas is related too.
Born again Christians

Born again Christians is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 25, 2022 and May 25, 2022. The archive places it in contexts such as "Born again Christians are constantly having what would normally get classified as psychotic experiences". It most often appears alongside 21st century scientific psychiatry, American Psychiatric Association Annual Meeting, autism rights movement.

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Born again Christians
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1
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May 25, 2022
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May 25, 2022
May 25, 2022 · Original source
This is also how I feel about hearing voices. Is hearing voices socially contagious? My guess is slightly. The DSM says that you can’t diagnose a psychotic disorder if someone’s in a cultural context when they’re expected and encouraged to hear voices - which sure does sound like the experts think cultural context can affect whether you hear voices or not. Born again Christians are constantly having what would normally get classified as psychotic experiences - I have asked a bunch of evangelicals who say “God told me to X” whether they actually heard God in a, you know, hearing God type way, and they usually say yes. Again, read your Jaynes. It feels prudent not to tell everyone that hearing voices is totally normal and cool.
Borrelia

Borrelia is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 05, 2022 and August 05, 2022. The archive places it in contexts such as "Chronic Lyme Disease occurring in countries with and without Borrelia -carrying ticks". It most often appears alongside acedia, Against Nature, Anna Schaffner.

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Borrelia
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1
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August 05, 2022
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August 05, 2022
August 05, 2022 · Original source
There is some hint, though, that CFS is something that is a subset of a wider group of other contested disorders, separated only by the explanation that sufferers prefer. When people have similar sets of non-specific symptoms, and they attribute them to electromagnetic sensitivity, Chronic Lyme Disease occurring in countries with and without Borrelia-carrying ticks (but also, sexism), household chemicals, or Communist death rays, then you have to conclude that there is a lot we don’t know about human energy and its lack.
Bosnian Muslims

Bosnian Muslims is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 13, 2024 and September 13, 2024. The archive places it in contexts such as "genocidal mistreatment of Bosnian Muslims". It most often appears alongside 1999 apartment bombings, 9/11, Abbasid.

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Bosnian Muslims
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1
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1
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September 13, 2024
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September 13, 2024
September 13, 2024 · Original source
Dean originally joins the jihad because he is horrified by the news of the sometimes genocidal mistreatment of Bosnian Muslims by the Serbian army. But later he gets told off by one of his superiors even for this: what good it is to save the lives of some Muslims, if Bosnia will just have a secular government anyway, that allows “alcohol and nightclubs”? Bosnia will never be the cradle of a new Caliphate, so it’s not important either.
Bosnians

Bosnians is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 24, 2022 and June 24, 2022. The archive places it in contexts such as "massacre of ethnic Bosnians in Srebrenica and Sarajevo". It most often appears alongside 501(c)(3), 80,000 Hours, 9/11.

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Bosnians
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1
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1
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June 24, 2022
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June 24, 2022
June 24, 2022 · Original source
Yugoslavia Humanitarian Intervention (1995, 1999): UNSC sanctioned NATO’s intervention against ethnic Serbs’ massacre of ethnic Bosnians in Srebrenica and Sarajevo in 1995, but not the so-called “illegal but legitimate” 1999 bombing of Kosovo to stop the Serbs’ ethnic cleansing of Bosnians as NATO would have been vetoed by Russia and China.
boson

boson is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 15, 2022 and July 15, 2022. The archive places it in contexts such as "every distinction be as pure as that between a fermion and a boson". It most often appears alongside 2012, Adam Smith, As I Lay Dying.

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boson
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1
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1
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July 15, 2022
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July 15, 2022
July 15, 2022 · Original source
Some things are actually categorical. Things can be one thing or another and there isn’t really a sense of degree, or of in-between-ness as an option. Particles are either fermions or bosons. The distinction is discrete, and it’s not really clear what it would mean for something to be part fermion and part boson. An atomic nucleus is a hydrogen nucleus if it has one proton it’s a helium nucleus if it has two (and on to lithium and the rest). There’s no sense in which something could be “between” being a hydrogen and a helium nucleus by having “between” one and two protons, because a partial proton just wouldn’t be a proton at all.
It’s this layer of useful vs useless bundling that I have a problem with in Haidt’s work. I don’t think his categories are particularly “real”, or “fundamental” or whatever, but that’s such a misused criticism across the board and against psychological research in general that I wanted to spend over 1,500 words making sure I was being exactly clear what my criticism was, and that it couldn’t be confused with the criticism where you just demand that every distinction be as pure as that between a fermion and a boson and declare everything else some flavour of nonsense.
Bostock case

Bostock case is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 08, 2025 and September 08, 2025. The archive places it in contexts such as "Byrel Mitchell challenges the analogy between the Skrmetti Supreme Court case on transgender and the Bostock case on homosexuality". It most often appears alongside ABUJA, Alexander Putilin, Astralcodexten Com.

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Bostock case
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1
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1
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September 08, 2025
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September 08, 2025
September 08, 2025 · Original source
3: Comments of the week, in both cases on the links post: Byrel Mitchell challenges the analogy between the Skrmetti Supreme Court case on transgender and the Bostock case on homosexuality. And Ryan W. writes his own poem in the style of the yeti example, with some help from AI.
Boston Brahmins

Boston Brahmins is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2022 and December 01, 2022. The archive places it in contexts such as "The pre-1950s aristocracy went by various names; the Episcopacy, the Old Establishment, Boston Brahmins". It most often appears alongside Amalgamated Bank, Andover, anti-Semitism.

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Boston Brahmins
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1
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December 01, 2022
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December 01, 2022
December 01, 2022 · Original source
The pre-1950s aristocracy went by various names; the Episcopacy, the Old Establishment, Boston Brahmins. David Brooks calls them WASPs, which is evocative but ambiguous. He doesn’t just mean Americans who happen to be white, Anglo-Saxon, and Protestant - there are tens of millions of those! He means old-money blue-blooded Great-Gatsby-villain WASPs who live in Connecticut, go sailing, play lacrosse, belong to country clubs, and have names like Thomas R. Newbury-Broxham III. Everyone in their family has gone to Yale for eight generations; if someone in the ninth generation got rejected, the family patriarch would invite the Chancellor of Yale to a nice game of golf and mention it in a very subtle way, and the Chancellor would very subtly apologize and say that of course a Newbury-Broxham must go to Yale, and whoever is responsible shall be very subtly fired forthwith.
Yudkowsky model

Bostrom/Yudkowsky model is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 05, 2023 and October 05, 2023. The archive places it in contexts such as "The classic Bostrom/Yudkowsky model of alignment implies both of these things". It most often appears alongside AI Is Centralizing By Default, Let’s Not Make It Worse, AI Pause Will Likely Backfire, AI Policy Institute.

Reference entry
Yudkowsky model
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1
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1
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October 05, 2023
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October 05, 2023
October 05, 2023 · Original source
HOW LONG TO PAUSE. The biggest disadvantage of pausing for a long time is that it gives bad actors (eg China)1 a chance to catch up. Suppose the West is right on the verge of creating dangerous AI, and China is two years away. It seems like the right length of pause is 1.9999 years, so that we get the benefit of maximum extra alignment research and social prep time, but the West still beats China. Obviously the problem with the Surgical Pause is that we might not know when we’re on the verge of dangerous AI, and we might not know how much of a lead “the good guys” have. Surgical Pause proponents suggest being very conservative with both free variables. This is less of a well-thought-out plan and more saying “come on guys, let’s at least try to be strategic here”. At the limit, it suggests we probably shouldn’t pause for six months, starting right now. Since this involves leading labs burning their lead time for safety, in theory it could be done unilaterally by the single leading lab, without international, governmental, or even inter-lab coordination. But you could buy more time if you got those things too. Some leading labs have promised to do this when the time is right - for example OpenAI and (a previous iteration of) DeepMind - with varying levels of believability. AnonResearcherAtMajorAILab discussed some of the strategy here in Aim For Conditional AI Pauses, and this Less Wrong post is also very good. Regulatory Pause: If one benefit of the Simple Pause is to use the time to prepare for AI socially and politically, maybe we should just pause until we’ve completed social and political preparations. David Manheim suggests a monitoring agency like the FDA. It would “fast-track” small AIs and trivial re-applications of existing AIs, but carefully monitor new “frontier models” for signs of danger. Regulators might look for dangerous capabilities by asking AIs to hack computers or spread copies of themselves, or test whether they’ve been programmed against bias/misinformation/etc. We could pause only until we’ve set up the regulatory agency, and take hostile actions (like restrict chip exports) only to other countries that don’t cooperate with our regulators or set up domestic regulators of their own. Many people in tech are regulation-skeptical libertarians, but proponents point out that regulation fails in a predictable direction: it usually does successfully prevent bad things, it just also prevents good things too. Since the creation of the Nuclear Regulatory Commission in 1975, there has never been a major nuclear accident in the US. And sure, this is because the NRC prevented any nuclear plants from being built in the United States at all from 1975 to 2023 (one was finally built in July). Still, they technically achieved their mandate. Likewise, most medications in the US are safe and relatively effective, at the cost of an FDA approval process being so expensive that we only get a tiny trickle of new medications each year and hundreds of thousands of people die from unnecessary delays. But medications are safe and effective. Or: San Francisco housing regulators almost never approve new housing, so housing costs millions of dollars and thousands of San Franciscans are homeless - but certainly there’s no epidemic of bad houses getting approved and then ruining someone’s view or something. If we extrapolate this track record to AI, AI regulators will be overcautious, progress will slow by orders of magnitude or stop completely - but AIs will be safe. This is a depressing prospect if you think the problems from advanced AI would be limited to more spam or something. But if you worry about AI destroying the world, maybe you should accept a San-Francisco-housing-level of impediment and frustration. A regulatory pause could be better than a total stop if you think it will be more stable (lots of industries stay heavily regulated forever, and only a few libertarians complain), or if you think maybe the regulator will occasionally let a tiny amount of safe AI progress happen. But it could be worse than a total stop if you expect continued progress will eventually produce unsafe AIs regardless of regulation. You might expect this if you’re worried about deceptive alignment, eg superintelligent AIs that deliberately trick regulators into thinking they’re safe. Or you might think AIs will eventually be so powerful that they can endanger humanity from a walled-off test environment even before official approval. The classic Bostrom/Yudkowsky model of alignment implies both of these things. David Manheim and Thomas Larsen set out their preferred versions of this strategy in What’s In A Pause? and Policy Ideas For Mitigating AI Risk. Total Stop: If you expect AIs to exhibit deceptive alignment capable of fooling regulators, or to be so dangerous that even testing them on a regulator’s computer could be apocalyptic, maybe the only option is a total stop. It’s tough to imagine a total stop that works for more than a few years. You have at least three problems: NON-PARTICIPANTS. As with any pause proposal, unfriendly countries (eg China) can keep working on AI. You can refuse to export chips to them, which will slow them down a little, but their own chips will eventually be up to the task. You will either need a diplomatic miracle, or willingness to resort to less diplomatic forms of coercion. This doesn’t have to be immediate war: Israel has come up with “creative” ways to slow Iran’s nuclear program, and countries trying to frustrate China’s chip industry could do the same. But great powers playing these kinds of games against each other risks wider conflict.
Boufee deliriante

Boufee deliriante is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2023 and February 27, 2023. The archive places it in contexts such as "Amok and boufee deliriante impress much much less after reading your comments". It most often appears alongside 12th-century England, 21st-century America, acute and transient psychotic disorder.

Reference entry
Boufee deliriante
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1
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1
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February 27, 2023
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February 27, 2023
February 27, 2023 · Original source
In fact, this would be a good place to admit I’m getting very skeptical about pretty much every culture-bound syndrome on the traditional list. Amok and boufee deliriante impress much much less after reading your comments, and the other big famous one is taijin kyofusho, a supposedly a Japanese culture-bound condition where someone is excessively . . . I’m trying not to use the words “socially anxious” so that it can be a big reveal when I say it seems similar to our Social Anxiety Disorder.
I don’t think Bouffée délirante is a culture bound syndrome - it’s just the French equivalent of brief psychotic disorder (DSM), acute and transient psychotic disorder (ICD), or Brief Limited Intermittent Psychotic symptoms (CAARMS). [See] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581951/
bourgeois

bourgeois is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 04, 2024 and December 04, 2024. The archive places it in contexts such as "rejection of bourgeois notions of beauty". It most often appears alongside 3D printing, Abercrombie & Fitch, AI.

Reference entry
bourgeois
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1
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1
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December 04, 2024
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December 04, 2024
December 04, 2024 · Original source
…so much as that it cemented a new romantic vision of the Artist. The Artist was a genius, brimming with bold new ideas that the common people could never understand! The Artist defied the norms of bourgeois society! The Artist was part of some official collective with their own compound in a trendy part of the city! The compound produced manifestos explaining why their vision of Art was better than everyone else’s!
This romantic vision was so powerful that you could become a well-regarded artistic movement just by doing the collective, the compound, and the manifesto especially well. Whether or not you produced art was of secondary importance - the sort of question that a bourgeois who didn’t understand your true genius would ask.
Maybe too appealing: the Bauhaus wasted no time in becoming a caricature of itself. Someone got into their head that pointed roofs “represented the crowns of the old nobility”; henceforward, all their buildings had flat tops (even though this was unsuited for the snowy German climate). Facades were fake, just like the fakeness of bourgeois propaganda; therefore true socialist buildings would show their innards as much as possible, with jutting pipes and undecorated structural supports.
bovine spongiform encephalopathy

bovine spongiform encephalopathy is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 12, 2024 and July 12, 2024. The archive places it in contexts such as "The formal name of the disease, “bovine spongiform encephalopathy”, was supposedly chosen to optimize for unfamiliarity". It most often appears alongside 1980s, 1989, 1990s.

Mention count
1
Issue count
1
First seen
July 12, 2024
Last seen
July 12, 2024
July 12, 2024 · Original source
(This report was, as it happens, published in the exact same month as The Family That Couldn’t Sleep.) DTM came to know the family well. He befriended them by way of two members of their younger generation, Lisi – a woman terrified by the shadow of the disease, and Ignazio – the doctor she had married, who was more terrified by the shadow of the disease. Ignazio put together the pieces of the family puzzle, consolidating all the disparate diagnoses into a single disorder and filling out a lot of blank spots on family trees. When DTM came along, he was able to help Ignazio make the case that the family would benefit from the spotlight – that greater awareness of FFI could lead to a cure both for them and for a slew of other prion diseases. As it so happens, he is one of those nonfiction authors who serve as a character in their own story. DTM has some form of progressive muscular palsy. He is, or at least was in 2006, not entirely sure what it is. The relatively unimpressive state of genetics at the time had not identified his causative mutation, though it looked a lot like one of the rarer forms of Charcot-Marie-Tooth disease2. DTM is pragmatic about this, the way everyone chronically ill is either pragmatic or doomed. Whatever he has, it is a defect in protein structure; his peripheral nerves decay not because of a problem with the nerves themselves but an inability of their scaffolding to hold them together, as he puts it. The last chapter of the book dwells on this, on the web of connections popping up between a thousand disorders. DTM’s disease is something vaguely similar, if you squint, to an exceptionally slow-progressing motor neurone disease; if you jump another level out, you see amyloid plaque diseases like Huntington’s and Alzheimer’s, and if you jump yet another level out, you see something like prions. His interest in the Venetian family was driven by this. Some of its members thought this a beautiful act of sympathy; others thought him a grotesque parody of themselves, an onlooker, a gawker, peddling their tragedy to salve his relatively insignificant problems. They are, he thinks, both right. That’s the beginning, and that’s the end. What happens in the middle? --------------------------------------------------------- The Venetian family lends the book its title, but they’re really more of a framing device. The Family That Couldn’t Sleep is separated into four parts, of which the first and fourth – the shortest by far – deal with the family. Part 2 is kuru, the king of fucked up diseases you read about in clickbait Weird Medicine listicles. Let’s talk about kuru! Kuru, is, famously, the prion disease you get if you eat another person’s brain. Well, not quite. It’s a prion disease that became endemic amongst women in the Fore society, who ritually ate brains, one of which had an inherited or spontaneous prion disease. This is an important note – there’s a tendency (which the book’s later chapters engage in) to assume cannibalism just has a Prion Disease Generator attached. If you eat people who don’t have prion diseases, you won’t suddenly get one. Uh, don’t eat people. Anyway, part 2 is DTM’s historiography of Fore-Westerner first contact. It’s hilarious. Papua New Guinea is a frankly ridiculous place; one of the all-time best Lyttle Lytton winners (worst first sentence from a hypothetical or, in this case, real work) was “Papua New Guinea is so violent that more than 820 languages are spoken there”. The native residents were so hostile to outsiders that all the colonial empires had cut their losses – and when you think about the places they colonized, that says something. After the First World War, PNG was ripped from its nominal German ‘owners’, but no one else wanted the place. So, of course, they gave it to the Australians. It was thirty years and another war before we actually made contact. 1940s Australia was as ‘settled’ as it’d ever be; the cities were bustling and the interior was mapped. The kind of explorer who two centuries before would be heading to new continents had to console himself with Pacific islands. Console he did. The native peoples of the PNG coasts were hostile enough to the wannabe-colonialists that the Australians, flying planes overhead, were the first people to discover that the island’s inland was populated too. No one had broken through on land. In all this deep and angry rainforest, the Fore were the furthest out. They lived far into the island’s mountainous interior; DTM describes their territory as “nearly vertical”. Calling people primitives is a bit passe these days for understandable reasons, but no other term comes to mind. The Fore had no name for themselves; we call them by an exonym, “the people to the south”. They weren’t, to be clear, hunter-gatherers – they were slash-and-burn agriculturalists, but very well-fed ones. Despite the tendency in grain-focused cultures for poor agriculturalists to be stunted/malnourished, the Fore were a remarkably healthy people. Well, except for the famous bit. The first remarkable thing about the Fore was just how quickly they wanted to assimilate. Most PNG tribes weren’t particularly enthused by Western offers of injections/tractors/radios/Christianity. Yet as soon as the Australians arrived, the Fore made ceasefires in their wars with other tribes, volunteered to help large-scale Australian projects on the coast, started planting and trading coffee, and enthusiastically participated in censuses. It’s the only first-contact narrative I’ve seen where the colonizers were concerned about how badly the other guys wanted to be colonized. The next was the one that got their names in the history books. Australian officials started to notice a remarkable lack of women in Fore camps. Some tribes sequestered their women, particularly when Westerners were around, so at first they thought nothing of it. The high rate of unpartnered young men, though, was way out of PNG norms. DTM tells this part fantastically. The Fore chapters drip with the dread of dramatic irony. When the first breakthrough comes, you have to catch your breath: “Tiny” Carey noted something in the middle of August 1950 that deepened this mystery. He noticed that near the village of Henganofi there had been an unusual number of deaths. “It appears,” he wrote his superiors, “natives suffer from stomach trouble, get violent shivering, as with the ague, and die fairly rapidly.” [...] McArthur investigated a little more [...] One day in August 1953 he ran into more of the shivering people Tiny Carey had seen several years before: “Nearing one of the dwellings, I observed a small girl sitting down beside a fire. She was shivering violently and her head was jerking spasmodically from side to side.” It would be quite some time before anyone figured out what caused it – but the problem, as DTM notes, was that its cause wasn’t possible. Everyone priored that the weird undescribed disease in the Fore lands was some nocebo sorcery-sickness. Vincent Zigas, the first actual doctor sent to work with the Fore, tried to placebo-effect them and failed miserably: On the way, Apekono stopped at a hut and showed Zigas his first kuru victim. “On the ground in the far corner sat a woman of about thirty,” the doctor wrote. “She looked odd, not ill, rather emaciated, looking up with blank eyes with a mask-like expression. There was an occasional fine tremor of her head and trunk, as if she were shivering from cold, though the day was very warm.” It was almost exactly the tableau McArthur had witnessed in 1953. Zigas, though, was a doctor. He could do more than look—or so he thought: “I decided I might as well try my own variety of magic,” he remembered. He rubbed Sloan’s Liniment, a balm for sore muscles, on her and declared to her family and his guide: “The sorcerer has put a bad spirit inside the woman. I am going to burn this spirit so that it comes out of her and leaves her. You will not see the fire, but she will feel it. The bad spirit will leave her and she will not die.” The lotion penetrated the woman’s skin and she writhed in pain. “Get up! Walk!” Zigas commanded theatrically. “The woman struggled feebly as if to rise, then, exhausted, started to tremble more violently, making a sound of foolish laughter, akin to a titter.” That evening Apekono asked Zigas not to try to cure any more kuru victims; “Don’t use your magic medicine anymore. It will not win our strong sorcery.” This was a disaster. The Fore were so cooperative precisely because they hoped “Western magic” could conquer theirs. As it became clear it couldn’t, they turned hostile. The Australians had hoped to “modernize a Stone Age people”; now all their subjects were dropping dead before their eyes, from what they could only assume was a “hysterical reaction” to colonization itself. So, to solve this, they needed a batshit insane American. Carleton Gajdusek is one of the characters who dominates The Family That Couldn’t Sleep. He couldn’t not. You could put him in a car commercial and he’d dominate it. Gajdusek was a physician with a rare, intense combination of science and practice. He was a romanticist, a field worker, and a lover of everything strange. He’d been an army doctor, a government conspiracy-cover-upper, and a postdoc under Linus Pauling who described his intent as “to straighten out Pauling’s ideas about proteins”. He hated civilization, in a slightly-to-Ted’s-centre sense, and was passionate about “primitives and isolates”. He jumped at the chance to work in Papua New Guinea; he planned to conduct a multi-site study on child development in such cultures, and relished the opportunity to live in a “primitive” environment himself. He did all this so he could rape kids. Oh, he did it for the scientific curiosity and love of medicine, but he also did it so he could rape kids. Gajdusek was a pedophile in the actual-lifelong-exclusive-paraphilia sense, as opposed to the “metonym for child molester” sense. Some people who roll snake-eyes on the Sexuality Dice repress it, but some are perfectly happy to act on it; Gajdusek was #2 in its fullest form, the kind of guy who believes that a well-lived life includes raping some kids. DTM doesn’t shy from this, not for a moment. It’s the first thing he tells you about Gajdusek. It couldn’t not be; you couldn’t talk about why he went to PNG otherwise. When Gajdusek landed in PNG, he first found the place too civilized. He’d been promised a land of “cannibal savages” – where were they? After some traipsing, he found them, right where he was promised. The Fore were perfect for Gajdusek. They had some kind of medical mystery that’d been lost on everyone else. They ate each other, in exactly the way he loved detailing in his diaries (“”Women and children, particularly, partake of the human flesh,” he noted with pleasure”). As kuru cases popped up, he aggressively recorded them. He wrote lovingly detailed notes that he sent back to his Australian advisor. He wrote with intensity, with exclamation marks, with the joie de vivre of a man just where he wanted to be. Gajdusek smothered the Fore with ‘cures’ that never worked, but they didn’t get angry at him. As DTM dryly puts it: “Their children trusted him, and that was enough for them.” At some point, someone suggested sending an anthropologist...or an epidemiologist...or literally anyone with more credentials than Gajdusek and Zigas3. Gajdusek threw a shitfit, convinced this one-and-a-half-man team was enough to Solve The Problem Forever. But he got bored eventually – running off with another tribe with, as his diary notes at length, an apparent custom of youths ritually fellating older men – and Zigas, I dunno, the book neglects him a bit here. So they managed to sneak in some anthropologists. The husband-and-wife team of Robert Glasse and Shirley Lindenbaum4 were the first involved parties to give a shit about the Fore as people, rather than as colonial subjects/medical mysteries/walking sex toys. What they uncovered was fascinating. The Fore were cannibals, yes, but they were recent cannibals. They didn’t have an ancient tradition of eating their dead, like the other visitors assumed. They happened to be in contact with some cannibal groups, and after a Fore man died of “sorcery”, they thought: well, what would happen if we ate him? “People tasting it expressed their approval. ‘”This is sweet,” they said, “What is the matter with us, are we mad? Here is good food and we have neglected to eat it.”” If not for the wild coincidence that the first Fore cannibalism victim had a prion disease, kuru would never have existed. Glasse and Lindenbaum started to put together the pieces. They’d been sent down to rule out a genetic explanation – to track the kinship ties of the Fore and see how the disease ran through families. It didn’t run through families in any coherent sense, but it sure did run through cannibalism. The clincher was the age distribution. The Fore, ever enthused by colonialism, quit eating each other as soon as the Australians arrived. Children stopped dying of kuru shortly after; they simply weren’t exposed to the infectious agent. The couple sent the news to Gajdusek, who was off raping kids somewhere else. In the next part of the book, DTM runs through Gajdusek’s many conjectures of kuru’s cause – more like sketches or abstract paintings than like true hypotheses. Gajdusek was annoyed that someone else was doing something he “totally could’ve done”, and even more annoyed that another lab was running similar experiments – an attempt at a vaccine for a particular sheep disease had accidentally created a prion generator. But he was happy to swoop in and claim the credit for what he was starting to think of as “slow viruses”, an infection that somehow lays dormant for years. DTM portrays Gajdusek perfectly, in that “real life has no need for verisimilitude” way. Gajdusek was at once a brilliant man, an all-consuming narcissist, an entertaining character, and a monster beyond redemption. A lesser book might pick one or two. The Family That Couldn’t Sleep portrays him as all four, and on a personality level (as opposed to a scientific one), the Gajdusek-focused parts are some of the most gripping. --------------------------------------------------------- Outside of the jumps between the Venetian family and everything else, The Family That Couldn’t Sleep is not siloed. The narratives of all prion diseases are deeply intertwined. This is what makes it a great book. It’s 300 pages of dramatic irony. You read the whole thing, waiting for the eureka moment – the point everyone realizes they’re looking at the same cause. It does, however, make it a tad difficult to review or synopsize. The book’s story is so weird – and, often, so at odds with conventional wisdom that trickles down about the Fore et al – that you have to recap quite a bit, and the book steadfastly resists recapping. The next couple chapters after we depart from Gajdusek’s credit-claiming are mostly about experiments with various prion diseases. They’re scientifically fascinating. Unlike some medical-books-for-general-audiences (cough, How Not to Study a Disease), DTM never talks down to the reader. He assumes someone reading a 300-page book about prions is smart and wants to learn about prions. He also has – you can feel it in his words – the agonizing experience of spending his life on the other side of the doctor’s desk, trying to beat into whoever he’s talking to that no, seriously, you don’t need to lie to him or try explain a complex disease at a fourth-grade level. The first prion disease studied was scrapie. Scrapie was a big deal – it starved and killed large shares of British sheep flocks, making it a serious economic problem. Veterinary researchers had tried to prevent or cure it for centuries. It was a veritable graveyard of ambitions: Quintessential was D. R. Wilson at the Moredun Institute in Scotland, who worked in the middle of the last century for more than a decade trying, with mounting frustration, to kill the scrapie agent. He found that it survived desiccation; dosing with chloroform, phenol, and formalin; ultraviolet light; and cooking at 100 degrees centigrade for thirty minutes. The scrapie researcher Alan Dickinson told me he remembered Wilson at the end of his career as “very, very, very quiet. Of course, that was after his breakdown.” “Now it is our turn to study prions. Perhaps we should approach the subject cautiously.” The problem, as DTM explains, is that prion diseases were impossible. They violated 20th-century understandings of biology. Proteins “were no more alive, and no more infectious, than bone”. Prion diseases seemed to have too many causes – genetic, infectious, and sporadic. They looked infection-like in some ways, but patients didn’t produce virus antibodies. Sheep exposed to scrapie, or chimps infected with kuru, took years to develop symptoms. Their facts did not fit together. In the 1960s, people started wondering. The unifying trait of prion agents was that they had to be denatured to be destroyed. Was this a particularly small virus defined by its protein coating? Or – even more outre – was it pure protein, no DNA at all? No one could figure out quite how the latter worked, but it was tempting. Gajdusek, by now a major figure in this field, kept a foot in both worlds. He didn’t want to stake his reputation on a no-DNA hypothesis, but he certainly sympathized. Enter Prusiner. Stanley Prusiner was Gajdusek’s counterpart. Where Gajdusek seemed permanently manic, Prusiner was deliberate and exacting. He entered Gajdusek’s “slow viruses” field in the early 1970s after a chance encounter with a CJD patient. He relished the laboratory in a way Gajdusek didn’t at all, and set out to optimize the hell out of his projects. Prusiner set out to isolate the smallest infectious particle in the scrapie agent. He injected tons of hamsters (hamsters got sick faster than mice) with increasingly tiny scrapie proteins, hoping to determine whether the Minimum Viable Scrapie was DNA. By the mid-1980s, he’d produced something so small it couldn’t possibly be a virus. Denaturing it destroyed it; exposing it to nucleic acid dissolvers actually made it stronger. Emboldened by this discovery, Prusiner set out to anoint himself the King of Prions. Here emerges something of a Voldemort-Umbridge distinction – the difference between cartoonish villainy and banal evil. Gajdusek is a bad guy because he rapes kids. Prusiner is a bad guy because he is the most grotesque stereotype of the Advisor/Peer Reviewer from Hell made flesh. Everything Prusiner did was to build his reputation atop a pile of skulls. When recruited as a peer reviewer for other prion papers, he wrote negative reviews to undermine their authors. He worked his grad students to the bone and intentionally destroyed their careers, telling them he’d “ruin them” if they entered prion research as competitors. He lied about the origin of the protein-only hypothesis, claiming he originated it a decade after it was actually conjectured. But hey, he was good at getting grants. I was surprised reading a lot of this, because for all the time I’ve been aware of it, the cause of prion disease has seemed settled. “Oh yeah, it’s a protein that gets all fucked up.” But DTM goes through just how unsettled it was right up through to The Family That Couldn’t Sleep’s publication. Serious confirmation only arrived a couple years later. Many people were deeply critical of the prion hypothesis – often, it seemed, because they loathed Prusiner too much to go along. Throughout the book, he cuts an uncharismatic figure. Gajdusek and Prusiner both won the Nobel for discovering prions, decades apart. This tells you something – the “discovery” of prions can be construed quite a few ways. Gajdusek formulated the hypothesis; Prusiner proved it. Gajdusek was grievously offended by Prusiner’s Nobel, perceiving his rival – not inaccurately – as a follower who never originated any ideas of his own. But Gajdusek was offended from a federal prison cell, so how’d that work out for him? Fascinating as all this is, no one published a book about prions in the mid-2000s because it was about kuru or FFI. They published books about prions because teenagers were dying, and people wanted to know why. DTM lays the seeds for part 3 – the mad cow section – in part 1. This is a discussion of scrapie, the longstanding prion disease of sheep. Scrapie was a medical mystery for centuries (remember poor D. R. Wilson), precisely because of the intuitive implausibility of prions. The scrapie chapter is a great history-of-science piece, covering the agricultural productivity revolutions of the 18th century, the surfeit of bizarre origins veterinarians concocted, and the treatments that never worked. Scrapie is not transmissible to humans – well, we hope. It’s concerningly transmissible to primates. But it’s been around for a long, long time, and it doesn’t epidemiologically look like humans get it...we hope. Anyway, you ever tried to generalize from one example? The British government did! In the mid-1980s, strange reports started coming out of the UK’s farms. Farmers were describing a new disease where dairy cows – incredibly docile creatures, under normal circumstances – turned hostile, kicking them as they went into the milking stalls. The symptoms looked to all the world like scrapie. Epidemiologists tracing the outbreaks found a unifying link with “cake” – animal protein feed sweetened with molasses. The scrapie-like symptoms must have traced to an infected sheep. But scrapie doesn’t transmit to humans, so it must be okay to keep slaughtering them, right? We all know how this ended. The best term for the British response to the mad cow outbreak is “cacklingly evil conspiracy”. The agricultural industry really, really didn’t need a huge zoonotic outbreak – so it decided it didn’t have one. They first suppressed all mentions that the disease looked like scrapie, then – when this became impossible – hyped up that scrapie doesn’t transmit to humans, so there’s nothing to worry about. The formal name of the disease, “bovine spongiform encephalopathy”, was supposedly chosen to optimize for unfamiliarity – it wouldn’t fit well in a headline. They emphasized, extensively, that there was nothing to worry about. Ever. At some point, people started asking questions. If there was nothing to worry about, why was the agricultural industry panicking so hard? As things became ever more worry-inducing, this turned down ludicrously twisting paths: Meanwhile, the Southwood Working Party and the experts who advised it were learning on the job. They learned, for instance, that the BSE agent entered the animal through the mouth and then followed the digestive tract into the organs that try to filter out infections—the tonsils, the guts, and the spleen—and from there traveled into the peripheral and central nervous system, and finally arrived at the brain. They also learned that pasties, meat pies, and even some baby foods contained tissues from a lot of those organs. So the Southwood Working Party recommended banning these organs, but only from baby food. This started a chain reaction of consumer doubt: if infected cow organs were unsafe for babies, how could they be good for adults? The government then banned offal, as the organs were collectively called, in all human food but gave the industry a grace period to get it out of the feed supply. Then pet food manufacturers began to wonder if what drove cows mad might not also drive dogs, cats, and parrots mad. The feed they sold came from concentrate made of the same sick animals that had previously made up the meat and bone meal farmers used. Their trade group decided to put a similar ban in place—immediately. So for five months it was safer to be a dog than a human in Britain. DTM spends pretty much this whole section of the book making fun of the British government. To be fair, they deserved it. They killed hundreds of kids in agonizing and preventable ways – they could take some ribbing. This is all throughout the mid-1980s to early-mid 1990s. Through this period, it wasn’t yet clear that mad cow could spread to humans. The panic was clear, and deserved, but it didn’t yet have a match for its powder keg. It would alight. The first suspected case of vCJD – human mad cow – was in 1994. Fifteen-year-old Vicky Rimmer developed a sudden, strange disease. Doctors gave her months to live...until she died in 1998. A couple other suspected cases trickled down through the mid-90s, including a young man who made meat pies for a living, whose grieving mother received a letter from the Prime Minister that “humans do NOT get mad cow disease”. (That must’ve been fun.) Soon, they couldn’t deny it any longer. On March 20, 1996, Stephen Dorrell, the health secretary, stood up in Parliament to announce the news that had already appeared as a tentative conclusion in scientific journals and as rumor in newspapers for the previous two years: British beef was killing British teenagers. The first confirmed death was that of Stephen Churchill, a nineteen-year-old student from Wiltshire, who died in May 1995. Back in 1989, at the Southwood Working Party’s suggestion, the government had set up a surveillance unit in Edinburgh to watch for any evidence that BSE had crossed to humans. One worry had been that if BSE passed to humans, how would anyone know it? How would you recognize something you had never seen? It turned out to be easy: Churchill and the nine other teenagers who had gotten sick had spectacular amyloid plaques in their brains, chunks of dead protein almost visible to the naked eye. If sporadic CJD was a whisper, BSE-caused prion disease was a shout. The investigators sat open-mouthed looking at slides whose damage, they feared, portended the most severe epidemic in modern British history. This part of the book is not fun. It lacks the insane personalities and duelling careers of the other entries. It is an honest chronology of the vCJD epidemic – a gruesome failure of the agricultural industry, the one system that everyone is vulnerable to. The government and industry had completely violated their duty of care to citizens and consumers. They were paying the price. No one would buy British beef anymore – not while they watched their children die. Now here’s the thing: this is ethnography, not historiography. The Family That Couldn’t Sleep is a book from the mid-2000s. The epidemic was not at all in the rear view mirror. There were piles of unanswered questions that DTM constantly alludes to. We have eighteen years more hindsight than he did then. What do we know now? --------------------------------------------------------- In 2006, the vCJD epidemic looked like it was going to be a lot better than the worst fears. BSE itself was a huge problem for the cattle industry, but honestly, no one is too sympathetic to the cattle industry. People were not going to die in anywhere near the numbers believed. We had all sorts of reassuring data coming out about this, which DTM chronicles. We were learning that only some genotypes seemed susceptible to vCJD. We didn’t see any older people die of the disease. We were seeing numbers drop, such that vCJD must have a pretty short incubation period. Anyway, all of this is wrong! The Family That Couldn’t Sleep was written in the candidate gene era. Back then, the nascent field of human genetics was sure it was about to Solve Polygenism. Yes, the simple Mendelian monogenic patterns popular a few decades back clearly didn’t apply to common diseases, but how many variants could there be? We were about to discover the five genes influencing 20% of Alzheimer’s risk each, the five genes influencing 20% of heart disease risk each, etc., and once we were done we’d just do gene therapy and cure Alzheimer’s. A paper on autism genetics from 1999 was so outre as to speculate there might be as many as fifteen genes involved. The fact we are now using the term “omnigenic model” should tell you roughly how well this worked out. Do you remember SNPedia? If you were a 2014 Slate Star Codex reader, you might. 2014 was still pretty candidate gene. People were out there publishing papers saying a single variant could increase your life expectancy by 15 years. SNPedia was a site that beautifully categorized all of these, so you could do 23andme or whatever, look up your results on SNPedia, and make horrible life choices.5 It was eventually bought out by one of the consumer DNA companies, so no one ever edited it again, making it a great time capsule of early-mid 2010s behavioural/medical genetics takes. SNPedia will excitedly explain to you that common genetic variants make you immune to vCJD. They cite a 2009 post from the now-archived 23andme blog titled “No Good Evidence That Potential Pool of Mad Cow Disease Victims Is Expanding”, explaining how fears of late-onset vCJD are clearly debunked by new Scientific Knowledge. Everyone who developed vCJD in the 1990s and 2000s had an M/M genotype in a particular part of the PRNP prion gene, so the roughly half the population with M/V or V/V genotypes were immune. The Family That Couldn’t Sleep buys this, too. In fact, it buys it in an even more agonizingly 2000s way. The first sign that transmissible prion diseases weren’t genotype-restricted should’ve been the growth hormone kids. You might have heard this story – from the late 1950s through mid-1980s, human growth hormone produced from brain tissue was used as a treatment for pituitary dwarfism, until it turned out to spread CJD if the originating brain was infected. DTM discusses this, to set the scene for the genetics thing. He mentions what was the state of the art at the time – that a disproportionate share of both the growth hormone kids and sporadic CJD cases were V/V homozygotes. This, uh – so the book was written in the mid-2000s, yeah? Yeah. The conclusion DTM drew – and this was a common conclusion at the time – was that homozygosity somehow made you more vulnerable to CJD, and M/M homozygosity made you vulnerable to BSE-borne CJD in particular. We cannot criticise the author for not predicting the future, but we live in the future, and can say how this worked out. Turns out, nope, M/V heterozygotes totally get vCJD. After a British man in his 30s died of CJD in 2016, he was found to have vCJD and an M/V genotype. He was tested for vCJD only because he was exceptionally young for someone with a sporadic prion disease – meaning people developing it later in life would be missed6. Did you know up to 1 in 2000 people in the UK have latent vCJD? There is one line in The Family That Couldn’t Sleep that stopped me dead in my tracks when I read it: What happens to the Italian family in the end depends less on their own actions than on the world’s interest in prion diseases, which they cannot control. If lots of people are afraid of getting variant CJD, the family benefits. If fear of prion disease goes the way of the fear of swine flu or Ebola, then they will be orphaned again. THIS BOOK IS FROM 2006! Three years before the swine flu pandemic! Eight years before the Ebola pandemic! “If you’re looking for a sign, this is it.” --------------------------------------------------------- The last section of The Family That Couldn’t Sleep addresses BSE fears in America and a nascent internet subculture DTM calls “Creutzfeldt Jakobins” – people who track American CJD cases, trying to spot vCJD patterns. When reading his description of the Creutzfeldt Jakobins, my mind constantly, uncontrollably turned to covid. Here it was – an online community of people deeply skeptical about a disease’s official story, tracking every contradiction, every implausibility, every statistic that failed to apply to the individual. Self-described “redneck hippies” and “soccer mom Republicans” teaming up to find the truth hidden behind an impossible world. You know what they’re doing now. I’ve always combined a deep interest in medicine with a healthy distrust for it. People who are constitutionally inquisitive, anti-authoritarian, and suspicious about official narratives tend to end up skeptical of at least some mainstream claims in the field. This is not to say I think you should take bleach enemas or something, just that I understand the impulse behind concluding the US government was covering up a local vCJD wave. Traditionally, sporadic prion diseases are said to have a prevalence of one in a million. (Hold on to that for a second.) The last section of the book is a chronology of Americans finding bizarrely more than one in a million of their friends dying of sporadic CJD, often at inexplicably young ages, sometimes in geographical clusters. This is understandably suspicious. Then DTM goes on to reassure us by saying none of these cases were confirmed to have an M/M genotype, which OH GOD OH FUCK A number of high-profile people in the prion world, including Gajdusek, are clarified as not believing sporadic prion diseases exist. You get the impression DTM doesn’t, either. Now, how common are prion diseases? Eric Vallabh Minikel has an answer for you! Eric and his wife Sonia are prion researchers from a rather unique background – after Sonia was diagnosed as having a single-gene mutation with ~100% penetrance for prion disease, they left their previous jobs to dedicate their lives to curing it. It turns out, when you run the numbers, you get not one in a million but 1 in 5000 people dying of prion diseases. This is best described as “nightmarishly high”. I’m normed on genetic disorders. A genetic disorder that affects one in five thousand people is pretty common! I have known, in person, completely unselected, just from “random people I’ve met in my life in a non-medical context”, someone with a ~1/250k syndrome and someone with a ~1/50k-100k syndrome. I don’t think anyone in my extended family knows someone who died of a prion disease. I feel like it would’ve come up if they did! Prion diseases have distinctive phenotypes. Not distinctive enough, apparently, to avoid a lot of CJD being misdiagnosed as Alzheimer’s – but diagnosis is consistently insane. Something DTM reiterates throughout The Family That Couldn’t Sleep is just what prion dementia looks like. The characteristic dementia in prion diseases spares something – “self” or “recognition” or “reflection” – that is not spared by Alzheimer’s, or by most common dementias. Shouldn’t this be, uh, noticeable?7 They kill rapidly, often over the course of months, and often onset in midlife. ALS shares this pattern and is way, way more common than prion diseases; you hear about ALS far more in the “disorder people actually have” sense. What am I missing here? Anyway: 1 in 2000 prevalence of latent vCJD in the UK + extreme lack of clarity over whether scrapie is human-transmissible + blood donations spread vCJD + sporadic CJD prevalence keeps going up = ??? (Yes, I am annoyed that most countries have lifted their ban on UK blood donors, thank you for asking!) --------------------------------------------------------- But back to the book. The “American chapter” is one-third about the country’s response to vCJD, one-third about the Creutzfeldt Jakobins, and one-third about chronic wasting disease. The last part is the most interesting. Chronic wasting disease is a prion disease of deer. Like scrapie, it “probably, we hope” isn’t human-transmissible (eat venison at your own risk). Under natural circumstances, deer shouldn’t get prion diseases: A prion plague should not be possible among ruminants in the wild. Deer are not cannibals, as the cows that spread BSE were forced to be; and, because deer and elk are not domesticated, they do not have enough contact with one another to spread a prion infection the way sheep are thought to spread scrapie. But deer do not live as they used to live, humans having once again brought their ambitions to bear on the natural course of things. The Family That Couldn’t Sleep is a book of medical anthropology. Anthropology of the Veneto, anthropology of Papua New Guinea, anthropology of 1990s Britain. Here, it is an anthropology of America. Americans, having won the world, still fight to win their own backyard. The North American continent is geographically diverse, cutting through rain-snow-shine, mountains jutting over plains, cities sprawling into wilderness, habitations criss-cross dotted with surprisingly few empty zones. Go somewhere like Denver, the Mile High City, three million people fighting against nature. Few other countries have anything like this; geographically vast polities usually have uninhabitable blocks. Australians are twenty-five million people clustered against the shore. It still surprises me, after all this time, how every US state has a meaningful city8. Midcentury Denver, growing and sprawling out across its mountains, started to run into their natural inhabitants – deer. Starvation is one way nature adjusts the deer population to the available food supply. People did not usually see this process, but in the 1950s and 1960s Colorado became more densely settled, reducing forested areas and forcing deer to look longer and harder for food. At the same time, the state enacted conservation laws, limiting when and where hunters could shoot. Soon emaciated deer began wandering onto the lawns and through suburban streets looking for a meal. People began to feed them, only to find that they died anyway. They would drop dead by haystacks, along highways, and in flower beds. In the late 1960s, a young biologist named Gene Schoonveld tried to figure out why the deer starved even when they were fed.9 He deprived some deer of food for a while, “[h]e cut windows in their stomachs to see what went on inside, and then he began to feed them”. While this was going on, he had a control group of healthy, well-fed deer as backups in case anything went wrong. It did...but not to the experimental group. The pen in which the deer were kept also housed sheep, which, it turned out, were scrapie carriers. The deer somehow acquired scrapie – there’s a huge unanswered question here, which DTM doesn’t address. How did they get scrapie? They didn’t eat the sheep, presumably. Did it somehow transmit from casual contact? This is not supposed to happen. And yet: the deer in the sheep pen started dying of a mysterious scrapie-like disease, one never reported before, that would go on to infect thousands. These deer were released into the wild. Ten years later, the first reports of chronic wasting disease came out. The disease spread across deer and elk in the western half of the country. By the turn of the millennium, cases were exploding – and lost all geographical restriction. DTM can report up to 2005, at which point it was floating around Upstate New York. This kind of spread doesn’t track natural deer migration. That’s irrelevant, because nothing about CWD’s spread is natural. We shift gears into an anthropology of the American hunter. The hunter wants to shoot the most impressive buck, to bag himself one with as many “points” as possible – one whose antlers branch out most. A “ten-point buck” has five branches on each horn: Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
boxing

boxing is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 03, 2022 and June 03, 2022. The archive places it in contexts such as ""also boxing/MMA, though perhaps to a slightly smaller extent"". It most often appears alongside 18th century, A Eunuch's Dream, Alessandro Moreschi.

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boxing
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June 03, 2022
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June 03, 2022
June 03, 2022 · Original source
To me, this sounds suspiciously like American football (also boxing/MMA, though perhaps to a slightly smaller extent). Socioeconomic distress? Check—extreme poverty and high rates of local violence are not uncommon in the childhoods of many elite football players. Severe biological modification (with severe health consequences for some) and a lifetime of rigorous training? You betcha. For even the freakiest freaks of nature, making it to the NFL requires near constant exercise and practice. In place of hormone modification through castration, football players modify their hormone levels through nutrition, HGH supplementation, and anabolic steroids. All of this to play an incredibly violent game that causes acute damage—broken bones, ligament tears, concussions, paralysis, and even death—and lasting damage to one’s body and brain. Rise to fame and fortune for a chosen few? Out of the approximately one million high school football players in the United States, 6.5% earn a college scholarship and about 0.1% make it to the NFL and less than half of those individuals stay in the league beyond year 4. For every millionaire star athlete, there are countless stories of people whose only “earnings” from their playing career are debilitating injuries and chronic pain. Patronage by the rich and powerful? The people who own NFL teams and pay player salaries are some of the wealthiest people in the world. A sad or unfulfilling end to life? Retirement from the NFL is notoriously difficult for many athletes, not least because of the chronic pain (often leading to opiate or alcohol addiction) or cognitive decline and mood disorders from chronic traumatic encephalopathy (CTE).
BPTs

BPTs is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 19, 2022 and January 19, 2022. The archive places it in contexts such as "QOF schemes like BPTs that modify CCG s’ GMS contracts with PCN s". It most often appears alongside Alinea, Alp Blossom, Alpha Tolman.

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BPTs
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January 19, 2022
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January 19, 2022
January 19, 2022 · Original source
He backs this up with ~300 pages of details about the health care systems of 11 major countries. I have to admit, I found this tough reading. Partly this is because health economics is an inherently boring topic. Partly it’s because national systems are a hodgepodge of historically contingent decisions that don’t really resolve into a single gestalt. And partly it’s because many countries run their medical systems entirely based on three-letter acronyms (did you know PBR financing in the NHS is partly under QOF schemes like BPTs that modify CCGs’ GMS contracts with PCNs?)
Brady Act

Brady Act is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 20, 2023 and February 20, 2023. The archive places it in contexts such as "At least one major (Brady Act level) federal gun control bill passed"; ""(Brady Act level) federal gun control bill passed"". It most often appears alongside 2020 election, 2020 primary, 23andme.

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Brady Act
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1
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February 20, 2023
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February 20, 2023
February 20, 2023 · Original source
1. Trump wins 2020: 20% 2. Republicans win Presidency in 2020: 40% 3. Sanders wins 2020: 10% 4. Democrats win Presidency in 2020: 60% 5. At least one US state has approved single-payer health-care by 2023: 70% 6. At least one US state has de facto decriminalized hallucinogens: 20% 7. At least one US state has seceded (de jure or de facto): 1% 8. At least 10 members of 2022 Congress from neither Dems or GOP: 1% 9. US in at least new one major war (death toll of 1000+ US soldiers): 40% 10. Roe v. Wade substantially overturned: 1% 11. At least one major (Obamacare-level) federal health care reform bill passed: 20% 12. At least one major (Brady Act level) federal gun control bill passed: 20% 13. Marijuana legal on the federal level (states can still ban): 40% 14. Neoliberals will be mostly Democrat/evenly split/Republican in 2023: 60%/20%/20% 15. Political polarization will be worse/the same/better in 2023: 50%/30%/20%
Bragging Boasters

Bragging Boasters is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 03, 2022 and June 03, 2022. The archive places it in contexts such as "a poem written by an anonymous female admirer derided local men as “Bragging Boasters”". It most often appears alongside 18th century, A Eunuch's Dream, Alessandro Moreschi.

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Bragging Boasters
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June 03, 2022
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June 03, 2022
June 03, 2022 · Original source
For Europe’s high society women, the obvious benefit of built-in contraception made castrati ideal targets for discreet affairs. Soon popular songs and pamphlets began suggesting that castration actually enhanced a man’s sexual performance, as the lack of sensation ensured extra endurance; stories spread of the castrati as considerate lovers, whose attention was entirely focused on the woman…When the most handsome castrato of all, Farinelli, visited London in 1734, a poem written by an anonymous female admirer derided local men as “Bragging Boasters” whose enthusiasm “expires too fast, While F—–lli stands it to the last.”
Brahma

Brahma is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 26, 2022 and August 26, 2022. The archive places it in contexts such as "If you’re the Hindu god Brahma, you’ll improvise the Universe like you’re dancing". It most often appears alongside 1917, aesthetics, American.

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Brahma
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August 26, 2022
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August 26, 2022
August 26, 2022 · Original source
In the same way, imagination has to be trained. For Benedetto Croce, aesthetics is the science of expression. A strong artist relates to their environment like a prism with light. They take lame, generic white light and produce a rainbow. They take experience and turn it into symbols, which in the case of a poet would be discreet sounds, and words. “A frail imagination, unequal to the tasks before it, is easily led astray”. If you think in an endless stream of cliches, you will improvise an endless stream of cliches. If you’re the Hindu god Brahma, you’ll improvise the Universe like you’re dancing.
Brahmavihara meditations

Brahmavihara meditations is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2022 and December 28, 2022. The archive places it in contexts such as "Metta and Mudita, which are two different Brahmavihara meditations". It most often appears alongside 2C-B, 48: Bean, @AliceFromQueens.

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1
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December 28, 2022
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December 28, 2022
December 28, 2022 · Original source
Hedonium Shockwave is a scent developed in-house to illustrate [an] anticipated phase transition in consciousness. The primary “olfactory idea” of Hedonium Shockwave is the synergistic combination of violet, mint, and an accord of pear and honeysuckle. This combination expresses a powerful yet anodyne uplifting mood grounded in a qualia landscape devoid of negative elements—pure olfactory pleasure at last…”It is, overall, incredibly smooth. My first thought is that it feels like a combination of Metta and Mudita, which are two different Brahmavihara meditations where it’s very soft and expansive for me. It feels very golden and pink. It’s very soft, but it’s a bit sharper, then a really soft sharp. It’s like a combination of metta and cocaine.”
Brahmin aristocrats

Brahmin aristocrats is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 06, 2021 and May 06, 2021. The archive places it in contexts such as "there are definitely traces of old Brahmin aristocrats all over the place". It most often appears alongside 320 AD, 476 AD, Africa.

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Brahmin aristocrats
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1
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May 06, 2021
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May 06, 2021
May 06, 2021 · Original source
Speculation on Curiales. This book made me realize the key role the “curiales” have played in almost all human history. In ancient Greece, I think you’d call these people the aristocracy or the oligarchs. They were always competing with the democrats for power. In Steinbeck’s “The Winter of Our Discontent”, the protagonist obsesses with getting back into the local town’s ruling aristocracy. That novel is set in the 1950s northeastern United States. Or Mr. Potter, the banker who owns half the town in “It’s a Wonderful Life.” What happened to those people? Are most cities and towns still run by a handful of old aristocratic families and I somehow have never noticed? Did something dramatic change in western society over the past 70 odd years? Is this the first time in history every little town isn’t run by a gaggle of wealthy families? I grew up in small town New England and there are definitely traces of old Brahmin aristocrats all over the place. They don’t seem to exist in the same way anymore.
Brahmins

Brahmins is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 22, 2022 and February 22, 2022. The archive places it in contexts such as "Brahmins are the highest Indian caste"; "business-related Indian castes having better networking within India (so motivated Brahmins tend to go abroad)". It most often appears alongside 1984, Anatoly Karlin, AnechoicMedia.

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Brahmins
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February 22, 2022
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February 22, 2022
February 22, 2022 · Original source
8: Economist: Why Brahmins Lead Western Firms But Rarely Indian Ones. Brahmins are the highest Indian caste; in India they tend to be academics/lawyers/etc, but in the US they are disproportionately likely to become CEOs (including the current leaders of Google and Microsoft). Article theorizes that this is a combination of more business-related Indian castes having better networking within India (so motivated Brahmins tend to go abroad), Brahmins being good at the traditional academic pathway that lends itself well to immigration, plus maybe affirmative action against them in India. Here’s a rebuttal I link to out of duty, but I’m not sure it’s worth wading through the woke outrage to get to the two or three mildly interesting facts (Brahmins started immigrating before India’s affirmative action really ramped up, and they might have a first-mover advantage from building immigrant communities earlier).
Brahmo nationalist

Brahmo nationalist is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 09, 2021 and November 09, 2021. The archive places it in contexts such as "including to an impressed Brahmo nationalist, newspaper editor, and Hindu Mela organizer". It most often appears alongside Aage Bohr, Abanindranath Tagore, Aldous Huxley.

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Brahmo nationalist
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November 09, 2021
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November 09, 2021
November 09, 2021 · Original source
Tagore started writing poems around age eight, and he was urged by an older brother to recite these to people in the mansion — including to an impressed Brahmo nationalist, newspaper editor, and Hindu Mela organizer.
Brahmoism

Brahmoism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 09, 2021 and November 09, 2021. The archive places it in contexts such as "Debendranath Tagore founded a new religion, Brahmoism". It most often appears alongside Aage Bohr, Abanindranath Tagore, Aldous Huxley.

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Brahmoism
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1
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November 09, 2021
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November 09, 2021
November 09, 2021 · Original source
Rabindranath Tagore was an Indian poet and philosopher who won the Nobel Prize in Literature. His father Debendranath Tagore founded a new religion, Brahmoism, which apparently has several million adherents although I have never heard of it. His brother Dwijendranath Tagore was a prominent scholar, translator, composer, and mathematician. His other brother Satyendranath Tagore was the first Indian to make it into Britain's colonial Indian Civil Service. His other brother Hemendranath Tagore was a physicist who experimented with radio waves (in the 1860s!) and wrote "the first scholarly Asian work on physics", as well as being a "renowned wrestler". His nephew Abanindranath Tagore was a famous artist and the founder of the Indian Society of Oriental Art. His...okay, look, just assume there are an approximately infinite number of Tagores, all of whom have names ending in -dranath, and all of whom have some set of amazing accomplishments in music, art, literature, occasionally science or politics. You can see a list of some of them here, but bring a flashlight and remember to drop bread crumbs behind you, or else you'll never find your way back.
brain

brain is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 10, 2025 and June 10, 2025. The archive places it in contexts such as "they don’t even know what the brain is". It most often appears alongside Chalmers, conscious, easy problem.

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brain
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1
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June 10, 2025
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June 10, 2025
June 10, 2025 · Original source
They wouldn’t answer “The light triggered the rhodopsin-based photoreceptors in my eye, the signal was transmitted to my brain, and it eventually reached the speech centers and made them say the word ‘red’”. After all, we hypothesized that the p-zombies don’t know anything humans don’t know, and most humans don’t know what “rhodopsin” is. In fact, we can imagine a primitive tribe of p-zombies who don’t know any biology - they don’t even know what the brain is - but who still have to be able to answer this question. Although these words are a correct description of what’s happening to the p-zombies neurologically (just as they would be a correct description of regular humans), there has to be some other answer about what they would tell us when we asked.
And they wouldn’t answer “IDK, my mouth just moved and formed the syllables ‘this is red’”. Normal humans can easily tell the difference between a voluntary action and an involuntary spasm (eg if your limb jerks because of an electric current or a seizure). In fact, this faculty is so profound that its failures contribute to conditions like schizophrenia; when someone loses the ability to interpret their speech as self-produced, they start formulating hypotheses like “the CIA put a chip in my brain that controls my actions”. Since the p-zombies can do anything humans can (including distinguishing voluntary vs. involuntary actions, and getting schizophrenia) they must be able to report something other than “my mouth moved but I can’t say why”.
brain therapies

brain therapies is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 03, 2022 and February 03, 2022. The archive places it in contexts such as "brain therapies". It most often appears alongside 538, 55-gal drum, 750k horny men.

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brain therapies
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1
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February 03, 2022
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February 03, 2022
February 03, 2022 · Original source
#10: Create A “Tech Tree” With Foresight Institute The new Neurotechnology branch of the Foresight Institute is seeking funding and publicity for the making of a ‘tech tree’. A tech tree will synthesize information in a hierarchical step-by-step format from all domain experts in brain related technologies (neuronal imaging, brain therapies, brain-computer interfaces, whole brain emulation), give a current state of the industry and envision step-by-step goals for current researchers, funders and leaders to access. [You can find a 4 minute post explaining tech trees at https://foresight.pub/techtreepost, a 4 minute tech tree example at https://fsnone-bb4c.kxcdn.com/wp-content/uploads/2021/11/2021-11-15-Longevity-Tech-Tree-Whitepaper.pdf, and our youtube at https://www.youtube.com/c/ForesightInstitute. Check our our hackathon to build a crowdsourcing/funding app - see https://mapsmap.devpost.com, or consider funding us at https://foresight.org/about-us/our-mission/.]
brain-computer interfaces

brain-computer interfaces is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 03, 2022 and February 03, 2022. The archive places it in contexts such as "brain-computer interfaces". It most often appears alongside 538, 55-gal drum, 750k horny men.

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1
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1
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February 03, 2022
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February 03, 2022
February 03, 2022 · Original source
#10: Create A “Tech Tree” With Foresight Institute The new Neurotechnology branch of the Foresight Institute is seeking funding and publicity for the making of a ‘tech tree’. A tech tree will synthesize information in a hierarchical step-by-step format from all domain experts in brain related technologies (neuronal imaging, brain therapies, brain-computer interfaces, whole brain emulation), give a current state of the industry and envision step-by-step goals for current researchers, funders and leaders to access. [You can find a 4 minute post explaining tech trees at https://foresight.pub/techtreepost, a 4 minute tech tree example at https://fsnone-bb4c.kxcdn.com/wp-content/uploads/2021/11/2021-11-15-Longevity-Tech-Tree-Whitepaper.pdf, and our youtube at https://www.youtube.com/c/ForesightInstitute. Check our our hackathon to build a crowdsourcing/funding app - see https://mapsmap.devpost.com, or consider funding us at https://foresight.org/about-us/our-mission/.]
BrainTrip Dementia Index

BrainTrip Dementia Index is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 10, 2022 and February 10, 2022. The archive places it in contexts such as "The core of our innovation - the BrainTrip Dementia Index (BDI) - is based on such"; "The core of our innovation - the BrainTrip Dementia Index (BDI) - is based on such models". It most often appears alongside 2018, @BendiniUK, @benyeohben.

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1
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1
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February 10, 2022
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February 10, 2022
February 10, 2022 · Original source
#108: EEG For Dementia Screening BrainTrip has developed a fast, early, and affordable dementia-screening solution based on EEG measurement. BrainTrip’s novel biomarker can detect the disease at its pre-symptomatic stage and can also be used to measure its progression. Traditional naked-eye inspected EEG has been of little use in dementia because large EEG changes are often only evident late in the illness when other clinical signs become obvious. However, the brain’s electrical activity contains many hidden features which can be extracted by sophisticated signal processing and inference modeling. The core of our innovation - the BrainTrip Dementia Index (BDI) - is based on such models. The BDI combines neuroscientific knowledge with complex mathematical models, relying on specifically developed AI optimization and machine learning. The BDI is a numerical score calculated from a test subject’s resting-state EEG, and it can detect subtle dementia-specific EEG changes early on, long before symptoms become evident. BrainTrip’s solution comprises a 15-minute EEG recording which detects even early stage dementia with an accuracy of 85% and can be administered by minimally trained staff. The BDI has already been CE marked as a Class I Medical Device used for dementia screening. We are now looking for 30-100k for a validation study on up to 500 individuals in Slovenia, before bringing the BDI to market.
Brazilian judge

Brazilian judge is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 30, 2024 and October 30, 2024. The archive places it in contexts such as "that Brazilian judge who banned Elon Musk's X". It most often appears alongside 1984, Abandon Harris, Acemoglu.

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Brazilian judge
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1
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1
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October 30, 2024
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October 30, 2024
October 30, 2024 · Original source
A long time ago, I wrote about the difference between ingroup, outgroup, and fargroup. Ingroup and outgroup you know. But how come people have stronger emotions about Ibram X. Kendi (or Chris Rufo) than about Kim Jong-un or whoever's committing the latest genocide in Sudan? It's not because you're American and naturally care about American affairs - how about that Brazilian judge who banned Elon Musk's X? It's because all those guys are part of your psychodrama and some Sudanese psychopath isn't. Well, Kamala Harris' price controls are my outgroup; Donald Trump setting tariffs is my fargroup.
BRCA

BRCA is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 12, 2024 and July 12, 2024. The archive places it in contexts such as "cancer can be genetic (e.g. BRCA, Li-Fraumeni)". It most often appears alongside 1980s, 1989, 1990s.

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BRCA
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1
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July 12, 2024
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July 12, 2024
July 12, 2024 · Original source
Does this mean there are diseases that can operate by the “genetic-infectious-sporadic” prion triad without being prion diseases per se? It’s possible to transmit cancer via organ donation, maternal-fetal transmission, or unhinged experiment; cancer can be genetic (e.g. BRCA, Li-Fraumeni) or sporadic (e.g. most of it). “Prion disease” is probably not the best way to think about cancer. It’s also apparent, when you look at it this way, that what we’re calling “sporadic” is not “you always get it by bad luck with no external influence”; there are unambiguously environmental factors in many cancer cases.
breadbasket of America

breadbasket of America is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 13, 2022 and October 13, 2022. The archive places it in contexts such as "I lived in the 'breadbasket of America' frequently". It most often appears alongside 1996 Illegal Immigration Reform and Immigrant Responsibility Act, 21st Century Salon, ACX.

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breadbasket of America
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October 13, 2022
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October 13, 2022
October 13, 2022 · Original source
3. Water. I think this is the big one. The valley is only agricultural because of a large canal network. And for a long time (not sure how it is now), farmers got incredible water subsidies, partially rationed, which they were not allowed to sell. When I was growing up, one of the most common ways of irrigation I'd see was literally flooding orchards because farmers had so much water that if they didn't use, they lost. So they'd use it on the least efficient method of irrigation possible. I think that's changed a bit in the last decade, but only in response to very severe drought. I believe to some extent some farmers are now being subsidized not to grow crops at all to save on water. When that's the backbone of your economy you're in trouble. (Growing up I heard that I lived in the "breadbasket of America" frequently. I wonder what they're telling kids now.)
Breaking The Cycle

Breaking The Cycle is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 12, 2025 and November 12, 2025. The archive places it in contexts such as "Even the name - Breaking The Cycle - gives me deja vu". It most often appears alongside 2024 ballot measure, Alameda County, Bay Area.

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Breaking The Cycle
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November 12, 2025
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November 12, 2025
November 12, 2025 · Original source
The second strongest evidence is that approximately the same pattern has happened in every affected California city during this period, supporting the hypothesis that this is downstream of Grant’s Pass and other larger trends. But also, Lurie’s homelessness policy just isn’t that impressive. He ran on a platform of creating 1,500 extra shelter beds, which would have put a significant dent in the problem. But after creating 100 - 200, he admitted this was too hard and gave up. Otherwise, it sounds the same as every mayor’s Plan To End Homelessness - reorganize local services, fund street response teams, coordinate and streamline blah blah blah. Even the name - Breaking The Cycle - gives me deja vu. Didn’t Gavin Newsom call his homelessness plan that? No? Mayor Breed? Jerry Brown? Daenerys Targaryen? Mayor Lurie’s other big homelessness-related policy was getting tough on fentanyl - clearing up the open-air markets, cutting “harm reduction” programs that give free drug paraphernalia to users. To his credit, there are many fewer open-air drug markets now. As for drug-related deaths: …preliminary results look discouraging. Why? Some experts argue that the clearing of open-air markets shifts the dealer-addict relationship from an iterated game to a one-shot: since law enforcement prevents anyone from staying in the same place too long, addicts move from dealer to dealer, encouraging dealers to try exploitative strategies rather than cultivating repeat customers. Those exploitative strategies include toxic or spiked merchandise, hence the increased overdoses. Others argue that the harm reduction programs successfully reduced harm, and stopping them had the predictable effect. But it looks to me like things get worse slightly before Mayor Lurie took office, and that in any case the new regime is a return to form after an anomalous trough. This article argues that none of this has anything to do with local policy; some foreign countries successfully cracked down on fentanyl in 2024, raising prices and creating a shortage. Then in 2025 the traffickers recovered, and supply came back. Everyone Accuses Everyone Else Of Shipping Them Homeless People Look too closely into discussions of why homelessness is up or down in some particular city, and you’ll find dark murmurs about how they’re shipping problem individuals away, or getting duped by other cities doing the same to them. The Berkelians say SF has sent its homeless to Berkeley. The Oaklanders say no, to Oakland. The Sacramentans say Sacramento. And don’t forget the ones sent to other states! Meanwhile, former SF mayor Gavin Newsom has claimed that the majority of its own homeless people come from Texas (this is obviously false). Some of these claims make sense. San Francisco has three programs that bus its homeless people out of the city. Previously, they would only do this if social workers could prove the person had a family member willing to support them in the new city. More recently, they lowered this standard to “some connection” to the destination. But I don’t think this caused a large drop in SF homelessness, for three reasons. First, we have no evidence that any such drop in homeless numbers occurred - just a decrease in tent encampments and visible dysfunction. Second, the new lower-standards busing program only got about 100 people a year - pretty small compared to the scale of the problem. Third, the data above show general homelessness declines across California. If SF were exporting its homeless, you would expect other counties’ numbers to increase. Instead, it seems more likely that SF’s numbers are going down (if they are going down) for the same reason as everyone else’s. We’ll have more information next year, when Alameda County releases homelessness numbers. Alameda, which contains Oakland and Berkeley, is a natural export destination for San Francisco. So What Happened To Homelessness? This is a maximally boring story. There’s a natural tradeoff where governments can enforce laws against the homeless in ways that make them less visible and annoying, at the cost of making their lives harder, eg it can take away their tents. In the past, they didn’t do this, out of a combination of tender-heartedness and legal restrictions. After the homeless became extremely visible and annoying, voters felt less tender-hearted, and the courts lifted the legal restrictions. So cities took the tradeoff. This is the big effect that everyone noticed. At the same time, there were some small effects from increased funding, falling rents, drug market clearing, and busing programs. Realistically nobody would have noticed any of these; the big effect is from encampment clearing. Have we learned anything? I don’t think we learned the sort of thing we hoped we might learn, the lever we could push to solve everything with no downsides. But: I had previously thought there weren’t really any levers that could improve the problem at all, short of mass incarceration. I hadn’t considered that taking people’s tents and possessions would have such a strong aesthetic effect that most people would consider the problem solved from an annoyance/visibility perspective. I think my failure was some combination of 1: not realizing how much people hated tent encampments in particular, as opposed to (for example) weird people wandering the street in rags talking to themselves 2: not realizing how many options the homeless have for “lying low” when they really don’t want to be found (and therefore how elastic visible homelessness is with respect to legal crackdowns).
Breathalyzers

Breathalyzers is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 16, 2024 and April 16, 2024. The archive places it in contexts such as "possibility that this would set off Breathalyzers". It most often appears alongside Aaron, ALDH deficiency, Asians.

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Breathalyzers
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April 16, 2024
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April 16, 2024
April 16, 2024 · Original source
The rats with the new strain (BCS3-L1) got only 1/3 the normal rats’ “caries score”. But they didn’t get a score of zero. So maybe claims like “BCS3 represents a complete cure for cavities” are overblown. Why didn’t rats with the new strain get zero dental caries? Bacteria other than S. mutans can also cause cavities, so maybe it’s one of those. Rat trials are famous for results that don’t replicate in human trials, so take these with a grain of salt. 3: What did the latest colonization studies show? Aaron was able to retest six people who got free samples in December. Four of those people still have the bacterium. The other two don’t. Of the two failures, one had an active cavity at the time the strain was applied (which interferes with the oral microbiome), and the other had his wisdom teeth removed (which involves rinsing the mouth with strong antiseptics). Aaron hopes this shows the strain will stick around in most normal situations (though the failure in the presence of active cavities is disappointing). 4: Any new concerns about side effects? In my original post, I mentioned the possibility that this would set off Breathalyzers. Lantern was able to test this, and proved that it wasn’t a problem. Yesterday, Lao Mein suggested on Less Wrong that it might raise oral cancer risk - their post focused on people with ALDH deficiency (most common in Asians) but the calculations are too vague to be sure exactly which groups should and shouldn’t worry. This is less than 24 hours old, the company hasn’t replied yet, and is still developing. I’ll try to update people if anyone gets more clarity on this. Someone on the post mentioned that they’ve gotten worse hangovers since using the product, maybe because the constant trickle of alcohol changed the way gut flora metabolize it. 5: Any other meaningful results since the samples? Cremieux says his breath smells better. Some people have objected to this claim on the grounds that it takes ~12 months before the bacterium has colonized your mouth. One of the figures in my earlier post suggested that the bacterium might start strong, retreat for a while, and then take 12 months to fully colonize, so that might potentially explain his findings. But also, is it biologically plausible that this prevents bad breath? My impression was that bad breath came from other bacterial byproducts besides lactic acid. It might be possible in theory that the same metabolic changes that switch lactic acid to alcohol disrupt these other byproducts, but it seems kind of unlikely. An alternate explanation is that, in order to apply this product at all, you need to do a dentist-style teeth cleaning that kills your previous mouth bacteria. Maybe that improves the bad breath regardless of whether you add the Lumina afterwards? Some other people have said their mouth feels fresher or something, but realistically all of this is overwhelmingly likely to be placebo. 6: Do I “endorse” Lumina? Richard Hanania has a post about how he trusts Lumina because I’ve endorsed them. It’s extremely kind and I appreciate his respect. But also, the most I said in the original post was that I was still debating whether or not to get the treatment. My real opinion, as precisely as I can express it, is: Advance of approximately the same magnitude as fluoride: 5%
Bretton Woods system

Bretton Woods system is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 21, 2021 and May 21, 2021. The archive places it in contexts such as "make the European powers dependent upon the Bretton Woods system"; "in discussing the effects of the Bretton Woods system". It most often appears alongside 1992 treaty, ACX, Africa.

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Bretton Woods system
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May 21, 2021
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May 21, 2021
May 21, 2021 · Original source
The Suez Canal Crisis of 1956, which concluded with the Americans intentionally and publicly humiliating the English and French by withdrawing post–World War II recovery aid and spearheading international opposition, was the most visible manifestation of the Americans driving home just who was in charge. Over the next generation every significant European colony got its independence. The Americans didn’t take any of them over, because it didn’t need them. Its goal was to break the European hold over the world and make the European powers dependent upon the Bretton Woods system.
1 The ellipsis is a favorite Zeihan tick. Having listened to him on more than a few podcasts since picking up the book, his voice comes through the pages. It reads like you’re old friends and he’s telling you the way it is over beers. For example, in discussing the effects of the Bretton Woods system, Zeihan notes the creation of “banking empires in… Ireland and Iceland,” with a footnote saying “Seriously. WTF?”
Brief Limited Intermittent Psychotic symptoms

Brief Limited Intermittent Psychotic symptoms is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2023 and February 27, 2023. The archive places it in contexts such as "Brief Limited Intermittent Psychotic symptoms (CAARMS)". It most often appears alongside 12th-century England, 21st-century America, acute and transient psychotic disorder.

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1
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February 27, 2023
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February 27, 2023
February 27, 2023 · Original source
I don’t think Bouffée délirante is a culture bound syndrome - it’s just the French equivalent of brief psychotic disorder (DSM), acute and transient psychotic disorder (ICD), or Brief Limited Intermittent Psychotic symptoms (CAARMS). [See] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581951/
brief psychotic disorder

brief psychotic disorder is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2023 and February 27, 2023. The archive places it in contexts such as "Bouffée délirante is just the French equivalent of brief psychotic disorder (DSM)". It most often appears alongside 12th-century England, 21st-century America, acute and transient psychotic disorder.

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February 27, 2023
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February 27, 2023
February 27, 2023 · Original source
I don’t think Bouffée délirante is a culture bound syndrome - it’s just the French equivalent of brief psychotic disorder (DSM), acute and transient psychotic disorder (ICD), or Brief Limited Intermittent Psychotic symptoms (CAARMS). [See] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581951/
Related: the DSM doesn’t let you diagnose schizophrenia until someone’s been having symptoms for six months. What happens if you see someone one month into what seems likely to be schizophrenia? You provisionally diagnose Brief Psychotic Disorder until the six month mark. But newly psychotic people are often randomly getting better or worse from day to day, and getting shuffled from ERs to inpatient wards to partial programs to at risk programs, and in all of this shuffling it would be hard for an individual psychiatrist to notice someone who actually was just psychotic for one month and then recovered and was completely normal.
British abolitionists

British abolitionists is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 23, 2022 and August 23, 2022. The archive places it in contexts such as "without the Quakers and the British abolitionists?". It most often appears alongside 80,000 Hours, abolitionist literature, AI.

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British abolitionists
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August 23, 2022
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August 23, 2022
August 23, 2022 · Original source
So do we credit abolitionists with locking in better values for all time? MacAskill wants to do this, but I’m not sure. I think he amply proved that abolitionists made slavery end sooner than it would have otherwise. But would we still have widespread race-based slavery in 1950 without the Quakers and the British abolitionists? Would we still have it today? Or were they the leading edge of a social movement that would have spawned other activists to take up the cause if they had faltered? MacAskill admits that scholars continue to disagree on this.
British airmen

British airmen is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 09, 2024 and August 09, 2024. The archive places it in contexts such as "thanks largely to the plucky efforts of British airmen". It most often appears alongside 101st Airborne, Admiral Ernest King, Albert Speer.

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British airmen
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August 09, 2024
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August 09, 2024
August 09, 2024 · Original source
Germany conquered Poland and France. It tried to bomb the UK into submission/maybe enable an invasion. That effort failed when Germany was defeated in the Battle of Britain, thanks largely to the plucky efforts of British airmen (memorably summarized by Winston Churchill: “Never in the field of human conflict was so much owed by so many to so few.”)
British colonial rule

British colonial rule is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 14, 2021 and October 14, 2021. The archive places it in contexts such as "areas of India that were under direct British colonial rule". It most often appears alongside @literalbanana, ACX, Barcelona.

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British colonial rule
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October 14, 2021
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October 14, 2021
October 14, 2021 · Original source
13: Latest salvo in the “was colonialism good/bad for economic development?” debate - areas of India that were under direct British colonial rule have 39% less nighttime illumination (a common proxy for developedness) than areas that maintained more local autonomy. Although there are probably confounders in terms of which areas the British directly annexed, these are more likely to strengthen the case than weaken it - the British annexed the most productive areas, and a subanalysis based on areas where annexation/non-annexation depended on quirks of royals dying shows stronger effects than the original finding. [EDIT: See this comment for skepticism]
British EAs

British EAs is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 27, 2023 and October 27, 2023. The archive places it in contexts such as "some British EAs who used donor money to “buy a castle”". It most often appears alongside 1DaySooner, ACX, Africa.

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British EAs
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October 27, 2023
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October 27, 2023
October 27, 2023 · Original source
This isn’t controlling for selection bias - but neither was my uncle’s anecdotal observation. So although it does make me slightly nervous, I’m not going to treat it as actionable evidence. Still, my girlfriend ending up begging me not to donate, and I caved. But we broke up in 2019. The next few years were bumpy, but by 2022 my life was in a more stable place and I started thinking about kidneys again. By then I was married. I discussed the risks with my wife and she decided to let me go ahead. So in early November 2022, for the second time, I sent a form to the University of California San Francisco Medical Center saying I wanted to donate a kidney. IV. Something else happened that month. On November 11, FTX fell apart and was revealed as a giant scam. Suddenly everyone hated effective altruists. Publications that had been feting us a few months before pivoted to saying they knew we were evil all along. I practiced rehearsing the words “I have never donated to charity, and if I did, I certainly wouldn’t care whether it was effective or not”. But during the flurry of intakes, screenings, and evaluations that UCSF gave me that month, the doctors asked “so what made you want to donate?” And I hadn’t rehearsed an answer to this one, so I blurted out “Have you heard of effective altruism?” I expected the worst. But the usual response was “Oh! Those people! Great, no further explanation needed.” When everyone else abandoned us, the organ banks still thought of us as those nice people who were always giving them free kidneys. We were giving them a lot of free kidneys. When I talked to my family and non-EA friends about wanting to donate, the usual reaction was “You want to what?!” and then trying to convince me this was unfair to my wife or my potential future children or whatever. When I talked to my EA friends, the reaction was at least “Cool!”. But pretty often it was “Oh yeah, I donated two years ago, want to see my scar?” Most people don’t do interesting things unless they’re in a community where those things have been normalized. I was blessed with a community where this was so normal that I could read a Vox article about it and not vomit it back out. This is surprising, because kidney donation is only medium effective, as far as altruisms go4. The average donation buys the recipient about 5 - 7 extra years of life (beyond the counterfactual of dialysis). It also improves quality of life from about 70% of the healthy average to about 90%. Non-directed kidney donations can also help the organ bank solve allocation problems around matching donors and recipients of different blood types. Most sources say that an average donated kidney creates a “chain” of about five other donations, but most of these other donations would have happened anyway; the value over counterfactual is about 0.5 to 1 extra transplant completed before the intended recipient dies from waiting too long. So in total, a donation produces about 10 - 20 extra quality-adjusted life years. This is great - my grandfather died of kidney disease, and 10 - 20 more years with him would have meant a lot. But it only costs about $5,000 - $10,000 to produce this many QALYs through bog-standard effective altruist interventions, like buying mosquito nets for malarial regions in Africa. In a Philosophy 101 Thought Experiment sense, if you’re going to miss a lot of work recovering from your surgery, you might as well skip the surgery, do the work, and donate the extra money to Against Malaria Foundation instead5. Obviously this kind of thing is why everyone hates effective altruists. People got so mad at some British EAs who used donor money to “buy a castle”. I read the Brits’ arguments: they’d been running lots of conferences with policy-makers, researchers, etc; those conferences have gone really well and produced some of the systemic change everyone keeps wanting. But conference venues kept ripping them off, having a nice venue of their own would be cheaper in the long run, and after looking at many options, the “castle” was the cheapest. Their math checked out, and I believe them when they say this was the most effective use for that money. For their work, they got a million sneering thinkpieces on how “EA just takes people’s money to buy castles, then sit in them wearing crowns and waving scepters and laughing at poor people”. I respect the British organizers’ willingness to sacrifice their reputation on the altar of doing what was actually good instead of just good-looking. I worry that people use suffering as a heuristic for goodness. Mother Teresa becomes a hero because living with lepers in the Calcutta slums sounds horrible - so anyone who does it must be really charitable (regardless of whether or not the lepers get helped). Owning a castle is the opposite of suffering - it sounds great - therefore it is fake charity (no matter how much good you do with the castle). This heuristic isn’t terrible. If you’re suffering for your charity, then it must seem important to you, and you’re obviously not doing it for personal gain. If you do charity in a way that benefits you (like gets you a castle), then the personal gain aspect starts looking suspicious. The problem is the people who elevate it from a suspicion to an automatic condemnation. It seems like such a natural thing to do. And it encourages people to be masochists, sacrificing themselves pointlessly in photogenic ways, instead of thinking about what will actually help others. But getting back to the point: kidney donation has an unusually high ratio of photogenic suffering to altruistic gains. So why do EAs keep doing it? I can’t speak for anyone else, but I’ll speak for myself. It starts with wanting, just once, do a good thing that will make people like you more instead of less. It would be morally fraught to do this with money, since any money you spent on improving your self-image would be denied to the people in malarial regions of Africa who need it the most. But it’s not like there’s anything else you can do with that spare kidney. Still, it’s not just about that. All of this calculating and funging takes a psychic toll. Your brain uses the same emotional heuristics as everyone else’s. No matter how contrarian you pretend to be, deep down it’s hard to make your emotions track what you know is right and not what the rest of the world is telling you. The last Guardian opinion columnist who must be defeated is the Guardian opinion columnist inside your own heart. You want to do just one good thing that you’ll feel unreservedly good about, and where you know somebody’s going to be directly happy at the end of it in a way that doesn’t depend on a giant rickety tower of assumptions. Dylan Matthews wrote: As I’m no doubt the first person to notice, being an adult is hard. You are consistently faced with choices — about your career, about your friendships, about your romantic life, about your family — that have deep moral consequences, and even when you try the best you can, you’re going to get a lot of those choices wrong. And you more often than not won’t know if you got them wrong or right. Maybe you should’ve picked another job, where you could do more good. Maybe you should’ve gone to grad school. Maybe you shouldn’t have moved to a new city. So I was selfishly, deeply gratified to have made at least one choice in my life that I know beyond a shadow of a doubt was the right one. …and it really resonated. Everything else I try to do, there’s a little voice inside of me which says “Maybe the haters are right, maybe you’re stupid, maybe you’re just doing the easy things. Maybe you’re no good after all, maybe you’ll never be able to figure any of this out. Maybe you should just give up.” The Talmud is very clear: that voice is called the evil inclination, and it dwells in the left kidney. There is only one way to shut it off forever. I was ready. V. You might not be a masochist. But hospitals are sadists. They want to hear you beg. After I submitted the donation form, I was evaluated by a horde of indistinguishable women. They all had titles like “Transplant Coordinator”, “Financial Coordinator”, and “Patient Care Representative”. Several were social workers; one was a psychiatrist. They would see me through a buggy version of Zoom that caused various parts of their body to suddenly turn into the UCSF logo, and they all had questions like “Are you sure you want to do this?” and “Are you going to regret this later?” and “Is anyone pressuring you to do this?” and “Are you sure you want to do this?” After clearing that gauntlet came the tests. Blood tests - I think I must have given between 20 and 50 vials of blood throughout the screening process. Urine tests - both the normal kind where you pee in a cup, and a more involved kind where you have to store all your urine for 24 hours in a big jug, then take it to the lab. “Urinate into a jug” ought to be the easiest thing in the world, but some of the labs have overly complicated jugs that I, with my mere MD, couldn’t always get right - hence my experience accidentally pouring urine on myself in an Uber. Then came the big guns. Echocardiogram. MRI. One of my urine tests was slightly off, so I also got a nuclear kidney scan, where they injected radioactive liquid in me and monitored how long it took to come out the other end (I remember asking a friend “Can I use your bathroom? My urine might be slightly radioactive today, but it shouldn’t be enough to matter.”) Finally, five months after I originally applied, I got a phone call from the Transplant Coordinator. The test results were in, and . . . I had been rejected because I’d had mild childhood OCD. This was something I’d mentioned offhandedly during one of the psych evaluations. As a child, I used to touch objects in odd patterns that only made sense to me. I got diagnosed with OCD, put on SSRIs for a while, finally did therapy at age 15, hadn’t had any problems since. I still go back on SSRIs sometimes when I’m really stressed, and will grudgingly admit to the occasional odd-pattern-touching when no one’s looking. But it’s nothing anyone would know about if I didn’t tell them! It was mild even at age 15, and it’s been close-to-nonexistent for the past twenty years! Now I’m a successful psychiatrist who owns his own psychiatry practice and helps other people with the condition! I told them all this. They didn’t care. I asked them if there was anything I could do. They said maybe I could go to therapy for six months, then apply again. I asked them what kind of therapy was indicated for mild OCD that’s been in remission for twenty years. They sounded kind of surprised to learn there were different types of therapy and said whatever, just talk to someone or something. I asked them how frequent they thought the therapy needed to be. They sounded kind of surprised to learn that therapy could have different frequencies, and said, you know, therapy, the thing where you talk to someone. I asked them if they actually knew anything about OCD, psychotherapy, or mental health in general, or if they had just vaguely heard rumors that some people were bad and crazy and shouldn’t be allowed to make their own decisions, and that a ritual called “therapy” could absolve one of this impurity. They responded as politely as possible under the circumstances, but didn’t change their mind. I wasn’t going to waste an hour a week for six months, and spend thousands of dollars of my own extremely-not-reimbursed-by-UCSF money, to see a randomly-selected therapist for a condition I’d gotten over twenty years ago, just so I could apply again and get rejected a second time. This was one of the most infuriating and humiliating things that’s ever happened to me. We throw around a lot of terms like “stigma” and “paternalism”, and I’ve worked with patients who have dealt with all these issues (it’s UCSF in particular a surprising amount of the time!). But I was still surprised how much it hurt when it happened to me. Being denied the right to control your own body because of some meaningless diagnosis on a chart somewhere is surprisingly frustrating, even compared to things that should objectively be worse. I thought I was going to be able to do a good deed that I’d been fantasizing about for years, and some jerk administrator torpedoed my dreams because I had once, long ago, had mild mental health issues. So I gave up. I spent the next few weeks unleashing torrents of anti-UCSF abuse at anyone who would listen. This turned out to be very productive! When I was unleashing a torrent of anti-UCSF abuse to Josh Morrison of WaitlistZero, he asked if I’d tried other hospitals. I hadn’t. I’d assumed they were all in cahoots. But Josh said no, each hospital had their own evaluation process. Weill Cornell, a hospital in NYC, was one of the best transplant centers in the country, and had a reputation for fair and thoughtful pre-donor screening. Why didn’t I talk to them? NYC was far away, and I hate to travel, but I was just angry enough to accept. At this point I’d forgotten whatever good altruistic motivations I might have originally had and was fueled entirely by spite. Getting my kidney taken out somewhere else felt like it would be a sort of victory over UCSF. So I went for it. Cornell was lovely. They tried to do as much of the process as they could via Californian intermediaries, so that I only had to fly to New York twice. Their psychiatrist evaluated me, listened to me explain my weak history of OCD, then treated me like a reasonable adult who tells the truth and can handle his own medical decisions. They were concerned that I sometimes self-prescribed Lexapro to deal with anxiety. But we agreed on a compromise: I found another psychiatrist, let her give me the exact same prescription of Lexapro at a much higher cost to my insurance, and that resolved the problem. So in late September 2023 - ten months after I started the process - I finally got fully cleared to donate, surgery set for October 12. VI. I knew, in theory, that anaesthetics existed. Still, it’s weird. One moment you’re lying on a table in the OR, steeling yourself up for one of the big ordeals of your life. The next, you’re in a bed in the recovery room, feeling fine. The operation - this thing you’ve been thinking about and dreading for months - exists only as a lacuna in your memory. Not even some kind of fancy lacuna, where you remember the darkness closing in on you beforehand, or have to claw yourself back into consciousness afterwards. The most ordinary of lacunas, like a good night sleep. There was no pain, not at first. The painkillers and nerve blocks lasted about a day after the surgery. By the time they wore off, it was more of a dull ache. The hospital offered me Tylenol, and I wanted to protest - really? Tylenol? After major surgery? But the Tylenol worked. Some people will have small complications (I am a doctor, pretty jaded, and my definition of “small” may be different from yours). Dylan Matthews wrote about an issue where his scrotum briefly inflated like a balloon (probably this is one of the ones that doesn’t feel small when it’s happening to you). I missed out on that particular pleasure, but got others in exchange. I had an unusually hard time with the catheter - the nurse taking it out frowned and said the team that put it in had “gone too deep”, as if my urinary tract was the f@#king Mines of Moria - but that was fifteen seconds of intense pain. Then a week afterwards, just when I thought I’d recovered fully, I got bowled over by a UTI which knocked me out for a few days. But overall, I was surprised by the speed and ease of my recovery. A few hours after the surgery, I walked a few steps. After a day, I got the catheter out and could urinate normally again. After two days, I was eating “SmartGel”, a food substitute that has mysteriously failed to catch on outside of the immobilized-hospital-patient market. After three, I was out of the hospital. After four, I started easing myself back into (remote) work. After a week, I flew cross-country. . . . and then I got the UTI. If this section sounds schizophrenic, it’s because it’s a compromise between an original draft where I said nothing went wrong and it was amazing, and a later draft written after a haze of bladder pain. Just don’t develop complications, that’s my advice. Still, I recently heard from the surgeon that my recipient’s side of the surgery was a success, that my kidney was in them and going fine - and that put things back into perspective. To a first approximation, compared to the inherent gravity of taking an organ out of one person and putting it in a second person and saving their life - it was all easy and everything went well. When I look back on this in a decade, I’ll remember it as everything being easy and going well. Even now, with some lingering bladder pain, modern medicine still feels like a miracle. VII. In polls, 25 - 50% of Americans say they would donate a kidney to a stranger in need. This sentence fascinates me because of the hanging “would”. Would, if what? A natural reading is “would if someone needs it”. But there are 100,000 strangers on the waiting list for kidney transplants. Between 5,000 and 40,000 people die each year for lack of sufficient kidneys to transplant. Someone definitely needs it. Yet only about 200 people (0.0001%) donate kidneys to strangers per year. Why the gap between 25-50% and 0.0001%? Some of you will suspect respondents are lying to look good. But these are anonymous surveys. Lying to themselves to feel good, then? Maybe. But I think about myself at age 20, a young philosophy major studying utilitarianism. If someone had asked me a hypothetical about whether I would donate a kidney to a stranger in need, I probably would have said yes. Then I would have continued going about my business, never thinking of it as a thing real-life people could do. Part of this would have been logistics. I wouldn’t have known where to start. Do you need to have special contacts in the surgery industry? Seek out a would-be recipient on your own? Where would you find them? But more of it would have been psychological: it just wasn’t something that the people I knew did, and it would be weird and alienating for me to be the only one. This is going to be the preachy “and you should donate too!” section you were dreading all along, but I’m not going to make a lot of positive arguments. If 90% of the people who answer yes on those surveys are lying to feel good, then only 3 - 5% really want to donate. But bringing the donation rate from 0.0001% of people to 3 - 5% of people would solve the kidney shortage many times over. The point isn’t to drag anti-donation-extremists kicking and screaming to the operating table. The point is to reach the people who already want to do it, and make them feel comfortable starting the process. 20-year-old me was in that category. The process of making him feel comfortable involved fifteen years of meeting people who already done it. During residency, I met a fellow student doctor who had donated. Later, I got involved in effective altruism, and learned that movement leader Alexander Berger - a guy who can easily direct millions of dollars at whatever cause he wants - had donated his personal kidney as well. Some online friends. Some people I met at conferences. And Dylan Matthews, who I kept crossing paths with (most recently at the Manifest journalism panel). After enough of these people, it no longer felt like something that nobody does, and then I felt like I had psychological permission to do it. (obviously saints can do good things without needing psychological permission first, but not everyone has to be in that category, and I found it easier to get the psychological permission than to self-modify into a saint6.) So I’m mostly not going to argue besides saying: this is a thing I did, it’s a thing hundreds of other people do each year, getting started is as simple as filling out a form, and if it works for you, you should go for it7. When I woke up in the recovery room after surgery, I felt great. Amazing. Content, peaceful, proud of myself. Mostly this was because I was on enough opioids to supply a San Francisco homeless encampment for a month. But probably some of it was also the warm glow of having made a difference or something. That could be you! VIII. The ten of you who will listen to this and donate are great. That brings the kidney shortage down from 40,000 to 39,990/year. Everyone knows we need a systemic solution, and everyone knows what that solution will eventually have to be: financial compensation for kidney donors. But so far they haven’t been able to get together enough of a coalition to overcome the usual cabal of evil bioethicists who thwart every medical advance. My kidney donation “mentor”8 Ned Brooks is starting a new push - the Coalition To Modify NOTA - which proposes a $100,000 refundable tax credit - $10,000 per year for 10 years - for kidney donors. There would be a waiting period and you’d have to get evaluated first, so junkies couldn’t walk in off the street and get $100K to spend on fentanyl. No intermediate company would “profit” off the transaction, and rich people wouldn’t be able to pay directly to jump in line. It would be the same kidney donation system we have now, except the donors get $100,000 back after saving the government $1MM+. (the libertarian in me would normally prefer a free market, but “avoid taxes by selling your organs” also has a certain libertarian appeal) This came up often when I talked to other donors. They all had various motivations, but one of the things they cared about was being able to advocate for these kinds of systemic changes more effectively. I personally have been wanting to push this in an essay here for a while, but it seemed hypocritical to play up the desperate kidney shortage while I still had two kidneys. Now I can support NOTA modification whole-heartedly . . . full-throatedly? . . . it’s weird how many of these adverbs involve claims to still have all of your organs. This is also one of the answers to the question I asked in section IV: how do you balance acts of heroic altruism that everyone will love you for vs. acts of boring autistic altruism that will make everyone hate you, but which will accomplish more good in the end?) Coalition To Modify NOTA is full of previous living kidney donors, who are using the moral clout and recognition they’ve gotten to get attention and change the system in an unglamorous way. I find this an admirable way of squaring the circle: do the flashy heroic things to gain social capital, then spend the social capital on whatever’s ultimately most important. If you get one takeaway from this, let it be that those guys who bought the castle were good guys. Two takeaways, and it’s that plus modify NOTA. Three takeaways, and you should feel permission to (if you want) donate a kidney. You can sign up here.9 Feel free to email me at scott@slatestarcodex.com if you have questions about the process. 1Further perspective: I’m 38, which gives me a 2/million total chance of dying per day. So the likelihood that I would die during my kidney operation equals the likelihood that I would die during a randomly chosen two months of everyday life. 2Maybe, kind of. Our knowledge of how radiation causes cancer comes primarily from Hiroshima and Nagasaki; we can follow survivors who were one mile, two miles, etc, from the center of the blast, calculate how much radiation exposure they sustained, and see how much cancer they got years later. But by the time we’re dealing with CAT scan levels of radiation, cancer levels are so close to background that it’s hard to adjust for possible confounders. So the first scientists to study the problem just drew a line through their high-radiation data points and extended it to the low radiation levels - ie if 1 Sievert caused one thousand extra cancers, probably 1 milli-Sievert would cause one extra cancer. This is called the Linear Dose No Threshold (LDNT) model, and has become a subject of intense and acrimonious debate. Some people think that at some very small dose, radiation stops being bad for you at all. Other people think maybe at low enough doses radiation is good for you - see this claim that the atomic bomb “elongated lifespan” in survivors far enough away from the blast. If this were true, CTs probably wouldn’t increase cancer risk at all. I didn’t consider myself knowledgeable enough to take a firm position, and I noticed eminent scientists on both sides, so I am using the more cautious estimate here. 3I told them I had an aunt who died of radiation-induced cancer. It’s true, but I feel grubby for bringing her into this; I thought doctors would be more likely to listen to an emotional story than cold logic. 4EAs have been debating the exact effectiveness of kidney donations for a long time. You can find good skeptical arguments by Jeff Kaufman and Derek Shiller, and good arguments in favor by Alexander Berger and Tom Ash. 5Outside of Philosophy 101 thought experiments, there’s a nonprofit that will often reimburse you for lost wages from your donation. 6Self-modifying into a person who can act boldly without social permission is a more general solution and has many other advantages. But the long version involves living a full life of accumulating moral wisdom, and the short version starts with removing guardrails that are there for good reasons. 7But here are some practical points you might not already appreciate: You shouldn’t have to pay much money. If, like me, you need to travel (eg to New York), kidney related charities will reimburse your travel costs (in theory, I haven’t yet proven this, and a few costs were illegible and I decided not to submit them).
British Empire

British Empire is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2023 and August 25, 2023. The archive places it in contexts such as "range of outcomes within the former British Empire". It most often appears alongside 5G, Acemoglu and Robinson, ACX comments.

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British Empire
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1
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August 25, 2023
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August 25, 2023
August 25, 2023 · Original source
Even if correct, it is much less interesting and useful than it appears. Epistemic status: I have a decade-old PhD in economics (not in the field of economic growth) and a handful of peer-reviewed papers in moderately-ranked journals. I'm not claiming to make any original technical points, or to give a comprehensive evaluation of the economic growth literature. My criticisms are largely straight from the authors' own mouths. 1. What is this book about? Why is it not very good? Acemoglu and Robinson (AR) argue that countries are rich or poor because of their political institutions, not culture, geography or policy ignorance. I'll do this as much as possible in AR’s own words. Why Nations Fail was written during the Arab Spring, so the preface begins with Egypt. Some stress that Egypt’s poverty is determined primarily by its geography, by the fact that the country is mostly a desert and lacks adequate rainfall, and that its soils and climate do not allow productive agriculture1. Others instead point to cultural attributes ... Egyptians, they argue, lack the same sort of work ethic and cultural traits that have allowed others to prosper, and instead have accepted Islamic beliefs that are inconsistent with economic success. A third approach, the one dominant among economists and policy pundits, is based on the notion that the rulers of Egypt simply don’t know what is needed to make their country prosperous, and have followed incorrect policies and strategies in the past. Unsurprisingly, those other economists and policy pundits turn out to be wrong and the authors turn out to be right. In this book we’ll argue that the Egyptians in Tahrir Square, not most academics and commentators, have the right idea. In fact, Egypt is poor precisely because it has been ruled by a narrow elite that have organized society for their own benefit at the expense of the vast mass of people. And the Egyptian lesson turns out to be general. Whether it is North Korea, Sierra Leone, or Zimbabwe, we’ll show that poor countries are poor for the same reason that Egypt is poor. Countries such as Great Britain and the United States became rich because their citizens overthrew the elites who controlled power and created a society where political rights were much more broadly distributed, where the government was accountable and responsive to citizens, and where the great mass of people could take advantage of economic opportunities. What are “institutions” anyway? (The economic and political kind, not the prison and mental hospital kind.) Basically, AR mean politics. The word "institutions" occurs over 1000 times in Why Nations Fail2. I'll just focus on how AR use it without worrying about the dictionary, different schools of economics, or other social sciences. They begin with what institutions do rather than what they are. Nogales, Arizona, is in the United States. Its inhabitants have access to the economic institutions of the United States, which enable them to choose their occupations freely, acquire schooling and skills, and encourage their employers to invest in the best technology, which leads to higher wages for them. They also have access to political institutions that allow them to take part in the democratic process, to elect their representatives, and replace them if they misbehave. The word is used dozens more times before ARattempt a more general definition. Each society functions with a set of economic and political rules created and enforced by the state and the citizens collectively. Economic institutions shape economic incentives: the incentives to become educated, to save and invest, to innovate and adopt new technologies, and so on. It is the political process that determines what economic institutions people live under, and it is the political institutions that determine how this process works. So while economic and political institutions can be separated, it is the political institutions that matter in the long run. The good kind of institutions that lead to economic growth are "inclusive", as opposed to "extractive". To be inclusive, economic institutions must feature secure private property, an unbiased system of law, and a provision of public services that provides a level playing field in which people can exchange and contract; it also must permit the entry of new businesses and allow people to choose their careers. ... such rights must exist for the majority of people in society. Political pluralism is necessary, but not sufficient without a strong centralised state. ... political institutions that distribute power broadly in society and subject it to constraints are pluralistic. ... the key to understanding why South Korea and the United States have inclusive economic institutions is not just their pluralistic political institutions but also their sufficiently centralized and powerful states. A telling contrast is with the East African nation of Somalia. I am still a bit hazy as to the relative importance of de jure written rules versus the de facto struggle for power. AR are somewhat circular: Politics is the process by which a society chooses the rules that will govern it. Politics surrounds institutions ... When there is conflict over institutions, what happens depends on which people or group wins out in the game of politics ... The political institutions of a society are a key determinant of the outcome of this game. They are the rules that govern incentives in politics. But overall, you could just say ‘politics’ and not be too far off. AR do this themselves occasionally. South Korea ended up with very different economic institutions than the North because different people with different interests and objectives made the decisions about how to structure society. In other words, South Korea had different politics. AR's academic reputation is based on statistical analysis, but Why Nations Fail tries to do narrative history, IMHO not very well. When Jeffrey Sachs reviewed the book, he complained: They never define their key variables with precision, present any quantitative data or classifications based on those definitions, or offer even a single table, figure, or regression line to demonstrate the relationships that they contend underpin all economic history. Instead, they present a stream of assertions and anecdotes about the inclusive or extractive nature of this or that institution. AR replied baldly: Sachs ... argues that we provide no evidence. Right, we do not in the book. But that’s because a book for a general audience is not the right forum for presenting academic research, and we spent many years of our lives precisely on writing academic papers providing exactly the sort of evidence. ... So yes, we don’t provide the econometric evidence in the book, which isn’t of course the right place to do it, but econometric evidence is abundantly loud in the way it speaks on these topics. So, don't expect Why Nations Fail to be an accessible explanation of AR's academic work, which is what I was hoping for when I first read it. What do they spend over 500 pages on then? Well, after the preface, there's fifteen chapters of, as Sachs says, "assertions and anecdotes". Not just about "the inclusive or extractive nature of this or that institution", to be fair, but how institutions can change at "critical junctures" such as the Black Death or colonisation, and why it can be in elites’ interests to block economic innovation if it threatens their power, so that growth under extractive institutions is unlikely to be sustained. These chapters are not particularly good – I found them poorly organised and repetitive – but not particularly bad, if you are willing to accept the underlying premise that institutions are the main determinant of economic growth. Cumulatively they have an effect similar to the Old Testament, if you are willing to accept the underlying premise that the fortunes of the nation of Israel are determined by the LORD. Only the second chapter, ‘Theories that Don't Work’, makes a sustained argument against alternative theories. Geography is disposed of by noting the stark differences at the US-Mexican, North-South Korean and East-West German borders, and the reversal of fortune by which the present day US and Canada only became richer than Mexico, Central and South America following European colonisation. Culture is hand-waved away with the assertion that institutions determine the any relevant cultural behaviours, not the other way around, referring to the same border examples, the rapid catch up of Catholic Europe despite Weber's Protestant Ethic, the malign influence of the European and Ottoman empires on Africa, the range of outcomes within the former British Empire, and the more European population of Argentina and Uruguay versus the US and Canada, or of Columbia versus Ecuador and Peru. Not a bad list of anecdotes, but one could equally well point to the cross-border success of Ashkenazi Jews, overseas Chinese, or Baltic and Volga Germans. Ignorance is simply dismissed with the assertion that "if ignorance were the problem, well-meaning leaders would quickly learn what types of policies increased their citizens’ incomes and welfare, and would gravitate toward those policies." Various good and bad policy changes are explained as the result of political pressures rather than improved knowledge. The implication seems to be that good policies are so obvious they don’t require expert knowledge or advice, or that the experts never get it wrong. This appears most implausible in the debate over socialism and economic planning. Writing off the entire Communist experience as simply another elite trying to preserve its power feels inadequate, especially considering that some distinguished bourgeois economists thought central planning was a plausible road to riches until quite late in the day. Genetics or race is not mentioned, but would presumably attract the same counterexamples as geography and culture. Another theory AR do not discuss is crude exploitation: while colonial empires are excoriated, it is for setting up persistent extractive political institutions rather than for a direct theft of resources. The prosperity of white-owned South African farms next to poverty-stricken Bantustans is explained by the better quality of the institutions available to whites under apartheid, not relative population densities and land quality. For the rest of the book, I'll just list a few nitpicks to signal I read the whole thing and know a bit of history, but feel free to skip this – the real evidence for AR's thesis is in their academic papers, and I'll discuss those in the next section. I think AR overrate the importance of the Glorious Revolution, to the point of claiming it "created the rule of law" – after all, Parliament had already deposed and executed a king, then brought back the king’s son on their own terms after a decade of republican government. No less a luminary than Edmund Burke asserted "The Revolution was made to preserve our ancient indisputable laws and liberties, and that ancient constitution of government which is our only security for law and liberty." Also, strong signs of British economic uniqueness – the abnormal growth of London and reliance on coal as a fuel – predated 1688.
British informant

British informant is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 13, 2024 and September 13, 2024. The archive places it in contexts such as "became a British informant". It most often appears alongside 1999 apartment bombings, 9/11, Abbasid.

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British informant
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September 13, 2024
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September 13, 2024
September 13, 2024 · Original source
Born in 1978, he was 16 when he left the comfort of his Saudi home, learned to fire a mortar, and fought in the battles of the Bosnian War. He and two friends ran a million dollar fraudulent charity to smuggle supplies to the Chechens when he was 18. He was 19 when he swore an oath of allegiance in front of Osama bin Laden, and started making chemical weapons. He was 20 when he got disillusioned with al-Qaeda, left, got caught by the Qatari secret police and became a British informant. He was 24 when he unraveled a plot to release poison gas in the New York subway. And by the time he was 28, due to an embarrassingly stupid leak from the American intelligence agencies, his spying career was over and he was a man in hiding.
In fact, this was the original reason I started reading this book. Two years ago, soon after the Ukraine invasion, I tried to figure out what happened in the 1999 apartment bombings that are widely considered a false flag operation. For example, Scott writes in his book review on Putin: “The standard position in the West is now that Putin orchestrated the apartment bombings himself - killing 300 Russians - as a justification for escalating the war on Chechnya and to make himself look good after he framed some perpetrators.” However, there was a throwaway line on Wikipedia about a British informant claiming the opposite. Later, this line was removed from Wikipedia for reasons that are unclear to me, and I found no other source mentioning this, so I tracked down the original book that was referenced. That was Aimen Dean’s memoir.
British people

British people is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 11, 2025 and April 11, 2025. The archive places it in contexts such as "different British people disagree on how they should be governed". It most often appears alongside British government, New York, New York bus system.

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British people
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April 11, 2025
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April 11, 2025
April 11, 2025 · Original source
The purpose of the British government is to govern Britain. But different British people disagree on how they should be governed, and sometimes one or another faction gets more power, so the government sometimes flip-flops about what it wants.
British political elite

British political elite is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 20, 2023 and July 20, 2023. The archive places it in contexts such as "Ultimately think British political elite will fix it". It most often appears alongside Adam Tooze, Brexit, Britain.

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1
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July 20, 2023
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July 20, 2023
July 20, 2023 · Original source
Personally I’m somewhat optimistic, partly because the last few years we’ve been paying the costs of brexit (now shouldn’t be as much of a drag, and might even be some benefits from being outside EU regulatory nonsense), a lot of the UK industries have some prospects for growth (tech, pharma) and others unlikely to massively decline (law, finance, insurance). Ultimately think British political elite will fix it as they’ve done in the past, can take them a while but typically they ultimately take the difficult decisions.
bro culture

bro culture is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 09, 2026 and January 09, 2026. The archive places it in contexts such as "we finally eliminate the ‘bro culture’ that prevents women from winning exactly 50% of physics Nobels". It most often appears alongside Alexa, Choo Choo Train, Dayenu.

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bro culture
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1
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January 09, 2026
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January 09, 2026
January 09, 2026 · Original source
(This has also informed my opinion on all those blog posts where people say it’s the fault of the Feminized Longhouse Matriarchy that girls outperform boys in elementary school. I now think we’ll discover their long-sought ‘boy-friendly teaching methods’ around the same time we finally eliminate the ‘bro culture’ that prevents women from winning exactly 50% of physics Nobels.)
Broader Fossil Fuel Community

Broader Fossil Fuel Community is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 08, 2022 and August 08, 2022. The archive places it in contexts such as "we’re all just happy members of the Broader Fossil Fuel Community". It most often appears alongside 80,000 Hours, 80,000 Hours’ Guide To Working In AI Policy And Strategy, AGI.

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1
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1
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August 08, 2022
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August 08, 2022
August 08, 2022 · Original source
Until then, we’re all just happy members of the Broader Fossil Fuel Community.
Broadway

Broadway is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 25, 2021 and February 25, 2021. The archive places it in contexts such as "They conspicuously love Broadway (especially Hamilton )". It most often appears alongside Akron, Amherst, Ben Carson.

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Broadway
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February 25, 2021
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February 25, 2021
February 25, 2021 · Original source
Trump stood against the upper class. He might define them as: people who live in nice apartments in Manhattan or SF or DC and laugh under their breath if anybody comes from Akron or Tampa. Who eat Thai food and Ethiopian food and anything fusion, think they would gain 200 lbs if they ever stepped in a McDonalds, and won't even speak the name Chick-Fil-A. Who usually go to Ivy League colleges, though Amherst or Berkeley is acceptable if absolutely necessary. Who conspicuously love Broadway (especially Hamilton), LGBT, education, "expertise", mass transit, and foreign anything. They conspicuously hate NASCAR, wrestling, football, "fast food", SUVs, FOX, guns, the South, evangelicals, and reality TV. Who would never get married before age 25 and have cutesy pins about how cats are better than children. Who get jobs in journalism, academia, government, consulting, or anything else with no time-card where you never have to use your hands. Who all have exactly the same political and aesthetic opinions on everything, and think the noblest and most important task imaginable is to gatekeep information in ways that force everyone else to share those opinions too.
Broca’s aphasia

Broca’s aphasia is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 19, 2024 and July 19, 2024. The archive places it in contexts such as "look at the videos of people with Broca’s aphasia". It most often appears alongside Alan Turing, Amazon, Amazon jungle.

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Broca’s aphasia
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July 19, 2024
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July 19, 2024
July 19, 2024 · Original source
I have to say, I am not 100% convinced by the brain arguments. I mean, come on, look at the videos of people with Broca’s aphasia or Wernicke’s aphasia. Also, I buy that Broca’s and Wernicke’s areas (or whatever other putative language areas are out there) are active during non-language-related behavior, or that they represent non-language-related variables. But this is also true of literally every other area we know of in the brain, including well-studied sensory areas like the primary visual cortex. It’s no longer news when people find variable X encoded in region Y-not-typically-associated-with-X.
Broca’s area

Broca’s area is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 19, 2024 and July 19, 2024. The archive places it in contexts such as "Broca’s areas are both involved in coordinating motor activity". It most often appears alongside Alan Turing, Amazon, Amazon jungle.

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Broca’s area
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July 19, 2024
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July 19, 2024
July 19, 2024 · Original source
What about language genes like FOXP2 and putative language areas like Broca’s and Wernicke’s areas? What about specific language impairments? Aren’t they clear evidence of language-specific human biology? Well, FOXP2 appears to be more related to speech control—a motor task. Broca’s and Wernicke’s areas are both involved in coordinating motor activity unrelated to speech. Specific language impairments, contrary to their name, also involve some other kind of deficit in the cases known to Everett.
I have to say, I am not 100% convinced by the brain arguments. I mean, come on, look at the videos of people with Broca’s aphasia or Wernicke’s aphasia. Also, I buy that Broca’s and Wernicke’s areas (or whatever other putative language areas are out there) are active during non-language-related behavior, or that they represent non-language-related variables. But this is also true of literally every other area we know of in the brain, including well-studied sensory areas like the primary visual cortex. It’s no longer news when people find variable X encoded in region Y-not-typically-associated-with-X.
BROD light therapy

BROD light therapy is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 25, 2021 and November 25, 2021. The archive places it in contexts such as "exploratory analyses indicate that a higher illuminance is associated with a larger symptom improvement in the BROAD light therapy group". It most often appears alongside Aleksandar Vucic, awanderingmind, Biden.

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BROD light therapy
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1
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November 25, 2021
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November 25, 2021
November 25, 2021 · Original source
Boris Johnson (left) is 5’9, so the guy in the middle must be gigantic. Who is he? Looks like it’s Milo Djukanovic, President of Montenegro, who’s 6’6 (198 cm). Is he the tallest world leader? It seems like he’s tied with his colleague across the border, Serbian president Aleksandar Vucic. Why are Balkan leaders so tall? As usual, the answer is “genetics”. This article says: It has been noted that men from Herzegovina are taller on average than men in other places—the average male height is just over six feet...Putting all the data together, researchers concluded that the most likely cause of larger-than-average height of Herzegovinian men is lifestyle during the Paleolithic—men hunted large animals such as mammoth for survival—such a diet, heavy in protein, combined with small population densities, would have provided ideal conditions for height selection, resulting in increasingly taller men who passed the trait down through their I-M170 chromosome to future generations. Some sources note that they manage to beat the Dutch despite the latter country’s much higher human development index. The Dutch are probably tall through a combination of nature and nurture; Balkan people are tall through nature alone. 7: Eliezer Yudkowsky doesn’t need more ego boosts, but an idea he had a couple of years ago - using strings of bright lights to provide a better and brighter experience for Seasonal Affective Disorder sufferers than regular light boxes - spread from him to the rationalist community to the wider world, and has finally gotten tested in a formal study (see Acknowledgments section). Results seem vaguely positive: "SAD symptoms of both groups improved similarly and considerably...exploratory analyses indicate that a higher illuminance is associated with a larger symptom improvement in the BROAD light therapy group" 8: Percent of people who choose woke options on polls very tentatively and preliminarily seems to be going down post-Trump (h/t Richard Hanania). 9: Twitter conspiracy theories 10: Did you know: all those reconstructions of “how classical art would have looked with the original paint” are probably inaccurate. There is no reason to think the Greeks and Romans used garish technicolor hues on their statues; what evidence we have suggest they were good at shading, and the statues were probably colored very tastefully. 11: Complaints about how Karl Friston uses the term “Markov blanket” 12: Trevor Klee on the claim that cyclosporine patients don’t get dementia. Apparently there was a big study where basically nobody on the immunosuppressant cyclosporine ever got dementia, and there are some theoretical reasons why cyclosporine might prevent neurodegeneration. But another study found people on cyclosporine got dementia at the usual rate. I think in a situation like this you should have a really high prior on “the people who got the crazy result bungled their study somehow”, but I’m interested in hearing what other people think. 13: Also from Trevor: a history of fluvoxamine treatment for COVID. 14: To tide you over until the next book review contest, here is awanderingmind’s review of The Conquest Of Bread. 15: Claims: cnbc.com/2021/11/05/sam…\nft.com/content/dcb75a… (better article, but paywalled)","username":"moskov","name":"Dustin Moskovitz","profile_image_url":"","date":"Fri Nov 05 15:49:46 +0000 2021","photos":[],"quoted_tweet":{},"reply_count":0,"retweet_count":184,"like_count":1188,"impression_count":0,"expanded_url":{"url":"https://www.ft.com/content/dcb75a56-ca23-439c-96db-56483979bf34","image":"https://bucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com/public/images/80a58c96-c72f-4301-b571-aa9384f132bd_2400x1350.jpeg","title":"Subscribe to read | Financial Times","description":"News, analysis and comment from the Financial Times, the worldʼs leading global business publication","domain":"ft.com"},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> 16: Big trial on Vitamin D for depression finds null result. Peter Attia tries to tear it apart here, but I am unconvinced, especially in the context of Vitamin D never working for any of the things people say it does besides the most boring aspects of bone health. 17: “California is actively considering the adoption of flawed and inequitable guidance on math curricula based on misleading data and inaccurate success metrics reported by San Francisco Unified School District (SFUSD)...Based on our review of the data, we found misleading, unsupported, and cherry-picked assertions of success for the new math program. We noted that overall test scores are down and enrollments in UC-approved advanced math classes have dropped as well.” It looks like San Francisco is trying the good old “lower standards, then when more kids meet the standards, claim your school reform plan worked” trick again. 18: A new study claims that self-reported “Long COVID” symptoms are more associated with believing you’ve had COVID than with actually having it (as measured by serologic testing), which sounds like pretty strong evidence that it’s psychsomatic. Expert reactions are mixed-to-negative, although the only one of these that doesn’t sound like excuse-making is Dr. Rossman’s about the unreliability of the tests. I haven’t confirmed test reliability stats but Philippe Lemoine also thinks this is a plausible confounder. 19: Noahpinion: What If Xi Jinping Just Isn’t That Competent? I appreciated this for making me think, and for underlining the extent of the difference between the Deng/Jiang/Hu era and what Xi’s doing. I especially appreciated this line, which I’d never thought about before: Xi presided over the end of China’s hypergrowth. To some extent this is not his fault. No country can grow at 10% forever, and there were many structural forces pushing downward on China’s numbers — the end of the demographic dividend, the exhaustion of rural surplus labor (the Lewis Turning Point), the saturation of export markets, and so on. But China is also slowing down earlier than South Korea, Taiwan, or Japan did in their day. China’s per capita GDP (at PPP) is still only about 1/3 that of a developed country, so if they stop catching up at about half of developed-country levels, that will not be a great showing. A big lesson of the past twenty years has been “actually liberal democracy isn’t necessary to reach developed-country status”, so it would be quite the twist if it turned out you needed liberal democracy to reach developed-country status. This gets pretty close to the great mystery of why some less-developed countries “catch up” and others don’t; whatever happens in China is going to be a really useful data point. 20: Variations on the fable of The Frog And The Scorpion. 21: You’ve probably heard about the University of Austin, the new project by a bunch of wokeness-critical academics to start a new university that won’t cancel people or force conformity (New York Post article, Politico article - these were the two least “you need to be super-outraged about this right now” articles I could find). Tyler Cowen and Larry Summers are involved; Steven Pinker was supposed to be but left for unclear reasons. My thoughts, in no particular order: Even forgetting the political aspect, attempts to start new universities are always welcome.
Broken Bottle

Broken Bottle is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 23, 2022 and August 23, 2022. The archive places it in contexts such as "MacAskill introduces long-termism with the Broken Bottle hypothetical". It most often appears alongside 80,000 Hours, abolitionist literature, AI.

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Broken Bottle
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August 23, 2022
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August 23, 2022
August 23, 2022 · Original source
MacAskill introduces long-termism with the Broken Bottle hypothetical: you are hiking in the forest and you drop a bottle. It breaks into sharp glass shards. You expect a barefoot child to run down the trail and injure herself. Should you pick up the shards? What if it the trail is rarely used, and it would be a whole year before the expected injury? What if it is very rarely used, and it would be a millennium? Most people say that you need to pick up the shards regardless of how long it will be - a kid getting injured is a kid getting injured.
Broken windows theory

Broken windows theory is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 28, 2021 and May 28, 2021. The archive places it in contexts such as "Broken windows theory holds that if a window in a building is left unrepaired". It most often appears alongside A Game of Thrones, Africa, African Americans.

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Broken windows theory
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May 28, 2021
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May 28, 2021
May 28, 2021 · Original source
Broken windows theory holds that if a window in a building is left unrepaired, then soon all the windows will be broken. The broken window signals that order is not being enforced. If you want to fight crime, you have to start by repairing windows. This sounds nice enough, but William Bratton took it a stage further - zero tolerance for anyone engaging in anti-social behaviour. He became New York's police commissioner, and murder, mugging and car theft plummeted. Zero-tolerance policing was hailed as a great success.
Which is odd because broken windows theory turns out to be based on one experiment done by our old friend Philip Zimbardo, of the fake Stanford prison experiment. Only this experiment was so dodgy it's never been published in a peer reviewed journal.
Brooklyn Theory

Brooklyn Theory is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 31, 2025 and December 31, 2025. The archive places it in contexts such as "A key part of the “Brooklyn Theory” is that the media industry really is a total nightmare". It most often appears alongside 1955, 4chan, AARP.

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Brooklyn Theory
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December 31, 2025
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December 31, 2025
December 31, 2025 · Original source
On the Brooklyn theory. If media sentiment was the main factor wouldn’t you expect it to vary in English speaking vs non-English speaking countries? Whereas, you get the same phenomena in all the developed countries as far as I know.
A key part of the “Brooklyn Theory” is that the media industry really is a total nightmare of endless layoffs, unpaid internships, city newspapers shutting down etc as Google et al. eat all the advertising revenue. They have been in an awful recession for decades and since they have the megaphones, they can spread their misery to everyone else.
Brooklyn Theory Of Everything

Brooklyn Theory Of Everything is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 04, 2025 and December 04, 2025. The archive places it in contexts such as "The Brooklyn Theory Of Everything In modern America". It most often appears alongside BLS, Boston, Brenda Boomer.

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December 04, 2025
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December 04, 2025
December 04, 2025 · Original source
(source) It seems to have been declining since about 2010! Why? The government’s biggest student loan program is capped at $31,000, most people started hitting that max around 2010, the government never changed the cap, and the value of $31,000 goes down with inflation every year. (does this prove that the root cause of rising college prices was government loans all along?) Meanwhile, credit card debt, etc, are rounding errors in comparison. So the vibecession can’t be a debt trap. The Brooklyn Theory Of Everything In modern America, people in a tiny number of cities - NYC, SF, DC - dominate elite conversations. We have long since priced in that all the prestige information sources - New York Times, The New Yorker, New York Magazine, The New York Review Of Books - share a certain perspective. But even the alternative media that has done the most to popularize the idea of the modern economy as hellworld for the young - Chapo Trap House, Red Scare, etc - grew out of the same New York environment. So how have rents changed in New York? Surprisingly, they’ve done no worse than the US average. Aside from the post-pandemic spike, they tracked cost of living. And their post-pandemic spike is comparatively modest. Does this disprove the Brooklyn Theory of Everything? Not necessarily. The new revised version says that the concentration of young elites and would-be elites in NYC and SF is itself a new phenomenon. Source: BLS, counting occupation code 27 as “the creative class” Since life in SF, DC, and NYC is especially pricy… Rent-to-income ratio of various metro areas (source) (source) …someone who moves from a counterfactual life in Boston to New York City has effectively had rent increase from 30% to 58% of income, even before we get to the secular trend! Then these people think “My life and that of everyone I know is unaffordable! It must be a generational crisis!” Then they write about it in the New York Times and The New Yorker, and their readers - including the average people who take the consumer sentiment surveys - believe the economy is uniquely awful. This isn’t the same as saying “it’s all vibes, there’s no crisis”. The crisis is that young people who want to join the elite are being forced into places they can’t afford. Would-be financial elites must spend years of misery chasing a lottery ticket that might not pay off; would-be cultural elites face the same challenge, plus their economic situation may not improve even if they win the culturally-prestigious (but low-paying) positions they seek. A natural test for this hypothesis would be to check economic sentiment in Brooklyn vs. the rest of the country. But this wouldn’t necessarily work: the hypothesis predicts that malaise will spread from Brooklyn to everywhere else. More Work To Stay In The Same Place Brenda Boomer applied to a local business she liked at age 18. She got hired, worked her way up from the bottom, and by age 35 she was a regional manager making $50,000 per year. Martha Millennial lost her adolescence to endless lessons in Mandarin, water polo, and competitive debate, all intended to pad her college resume; her only break was the three months she spent building houses in Rwanda to establish her social justice credentials. She eventually got accepted to Penn and earned a 4.2 in her college classes, despite having to complete several of them remotely from the Google campus where she was doing a simultaneous internship. After graduation, she applied to twenty-eight grad schools but was rejected from all of them, so she instead got two half-time jobs, one as a waitress and one at a startup that pitched itself as “Uber for humidifiers”. The humidifier startup failed, reducing her equity to $0, but she had only been in it for networking anyway, and by attending industry conferences every weekend she had collected the right contacts to get a warm introduction to the vice-president of their biggest competitor, “Uber for dehumidifiers”. She joined the dehumidifier startup, rose to associate manager, bumped up against a local ceiling (“we don’t promote from inside”), and successfully got herself poached by an air purifier startup, where at age 35 she was a regional manager making $50,001 per year. Technically Martha did better than Brenda at the same age. But she might still yearn for simpler times. (source) (source) What causes this one? It must be something big: after all, we see the same trend in college admissions, job applications, and (really!) dating, where matches that used to happen naturally have turned to an endless grind through hundreds of rejections and near-misses. The most likely explanation is technology removing frictions: when it’s easy to apply en masse to every opportunity in the world, every opportunity in the world gets thousands of applicants. They search for the best based on formal qualifications, so the value of formal qualifications goes up, so there’s an increasing arms race to achieve them. The only problem with this theory is that it doesn’t entirely match people’s complaints. They don’t complain that it was too hard to achieve their success, they complain that they are not achieving success, or that it feels hopeless. Speculatively, maybe people complain that they are not getting the level of success they expected based on their qualifications. That is, the same average-talent person is getting the same average-salary job they would have forty years ago. But since they have a masters’ degree and five internships and 12,000 LinkedIn contacts, they expected to get a better-than-average job. When they don’t, it feels like success slipping away. Conclusion Until now, we’ve tried to take disillusioned young people at their word. If instead we lean towards the economists, what might be ruining the vibes? The obvious answer is increasing negative bias in the media. I didn’t expect that Googling “graph about how negative media is over time” would work. We really do live in an age of wonders (source). This measure likely underestimates the trend towards negativity, because it only tracks a specific basket of media outlets. But the change could also have included viewers shifting consumption from more mainstream outlets towards more conspiratorial ones, including social media and blogs. (my Substack is tagged Science, but I hear the real money is in the Health Politics tag, where top performers feature articles like The Great Alzheimers Scam And The Proven Cures They’ve Buried For Billions and Russian COVID Vaccines Caused Global Turbo Cancer Crisis) So, is that all there is? I think the strongest case for an economic crisis beyond vibes would be: Because of decreasing application friction, any given opportunity requires more effort to achieve than in earlier generations. Although this can’t lower the average society-wide success level (because there are still the same set of people competing for the same opportunities, so by definition average success will be the same), it can inflict deadweight loss on contenders and a subjective sense of underachievement.
Surprisingly, they’ve done no worse than the US average. Aside from the post-pandemic spike, they tracked cost of living. And their post-pandemic spike is comparatively modest. Does this disprove the Brooklyn Theory of Everything? Not necessarily. The new revised version says that the concentration of young elites and would-be elites in NYC and SF is itself a new phenomenon. Source: BLS, counting occupation code 27 as “the creative class” Since life in SF, DC, and NYC is especially pricy… Rent-to-income ratio of various metro areas (source) (source) …someone who moves from a counterfactual life in Boston to New York City has effectively had rent increase from 30% to 58% of income, even before we get to the secular trend! Then these people think “My life and that of everyone I know is unaffordable! It must be a generational crisis!” Then they write about it in the New York Times and The New Yorker, and their readers - including the average people who take the consumer sentiment surveys - believe the economy is uniquely awful. This isn’t the same as saying “it’s all vibes, there’s no crisis”. The crisis is that young people who want to join the elite are being forced into places they can’t afford. Would-be financial elites must spend years of misery chasing a lottery ticket that might not pay off; would-be cultural elites face the same challenge, plus their economic situation may not improve even if they win the culturally-prestigious (but low-paying) positions they seek. A natural test for this hypothesis would be to check economic sentiment in Brooklyn vs. the rest of the country. But this wouldn’t necessarily work: the hypothesis predicts that malaise will spread from Brooklyn to everywhere else. More Work To Stay In The Same Place Brenda Boomer applied to a local business she liked at age 18. She got hired, worked her way up from the bottom, and by age 35 she was a regional manager making $50,000 per year. Martha Millennial lost her adolescence to endless lessons in Mandarin, water polo, and competitive debate, all intended to pad her college resume; her only break was the three months she spent building houses in Rwanda to establish her social justice credentials. She eventually got accepted to Penn and earned a 4.2 in her college classes, despite having to complete several of them remotely from the Google campus where she was doing a simultaneous internship. After graduation, she applied to twenty-eight grad schools but was rejected from all of them, so she instead got two half-time jobs, one as a waitress and one at a startup that pitched itself as “Uber for humidifiers”. The humidifier startup failed, reducing her equity to $0, but she had only been in it for networking anyway, and by attending industry conferences every weekend she had collected the right contacts to get a warm introduction to the vice-president of their biggest competitor, “Uber for dehumidifiers”. She joined the dehumidifier startup, rose to associate manager, bumped up against a local ceiling (“we don’t promote from inside”), and successfully got herself poached by an air purifier startup, where at age 35 she was a regional manager making $50,001 per year. Technically Martha did better than Brenda at the same age. But she might still yearn for simpler times. (source) (source) What causes this one? It must be something big: after all, we see the same trend in college admissions, job applications, and (really!) dating, where matches that used to happen naturally have turned to an endless grind through hundreds of rejections and near-misses. The most likely explanation is technology removing frictions: when it’s easy to apply en masse to every opportunity in the world, every opportunity in the world gets thousands of applicants. They search for the best based on formal qualifications, so the value of formal qualifications goes up, so there’s an increasing arms race to achieve them. The only problem with this theory is that it doesn’t entirely match people’s complaints. They don’t complain that it was too hard to achieve their success, they complain that they are not achieving success, or that it feels hopeless. Speculatively, maybe people complain that they are not getting the level of success they expected based on their qualifications. That is, the same average-talent person is getting the same average-salary job they would have forty years ago. But since they have a masters’ degree and five internships and 12,000 LinkedIn contacts, they expected to get a better-than-average job. When they don’t, it feels like success slipping away. Conclusion Until now, we’ve tried to take disillusioned young people at their word. If instead we lean towards the economists, what might be ruining the vibes? The obvious answer is increasing negative bias in the media. I didn’t expect that Googling “graph about how negative media is over time” would work. We really do live in an age of wonders (source). This measure likely underestimates the trend towards negativity, because it only tracks a specific basket of media outlets. But the change could also have included viewers shifting consumption from more mainstream outlets towards more conspiratorial ones, including social media and blogs. (my Substack is tagged Science, but I hear the real money is in the Health Politics tag, where top performers feature articles like The Great Alzheimers Scam And The Proven Cures They’ve Buried For Billions and Russian COVID Vaccines Caused Global Turbo Cancer Crisis) So, is that all there is? I think the strongest case for an economic crisis beyond vibes would be: Because of decreasing application friction, any given opportunity requires more effort to achieve than in earlier generations. Although this can’t lower the average society-wide success level (because there are still the same set of people competing for the same opportunities, so by definition average success will be the same), it can inflict deadweight loss on contenders and a subjective sense of underachievement.
Brotherhood of Man

Brotherhood of Man is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2021 and November 04, 2021. The archive places it in contexts such as "the communists were all about the Brotherhood of Man". It most often appears alongside Alcsutdoboz, Allied Powers, Angela Merkel.

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Brotherhood of Man
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November 04, 2021
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November 04, 2021
November 04, 2021 · Original source
But why were Hungarians so opposed to refugees when the West was so eager to accept them? Lasse Skytt thinks maybe it’s the Iron Curtain. The Western psyche is still traumatized by fascism, and the opposite of fascism is taking in any dark-skinned foreigner who knocks on your door. But the Eastern psyche is traumatized by communism, and the communists were all about the Brotherhood of Man - ethnonationalist sentiments feel like a bold revolt against tyranny rather than its inevitable companion. Or maybe it’s colonial guilt: the West is wracked with it, but Hungary, never having colonized anywhere, doesn’t see why it owes anything to the rest of the world. Or maybe it’s because bad blood between the Hungarians and Roma has soured Hungary on the entire concept of having minorities. Whatever the reason, anti-immigrant measures in Hungary were polling around the mid-80s-percent. For Viktor Orban, who really likes winning, co-opting the issue was a no-brainer.
brown fat

brown fat is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 02, 2021 and March 02, 2021. The archive places it in contexts such as "These are well-understood in brown fat, a special kind of fat used to maintain body temperature". It most often appears alongside 1938 FDA, 2,4-dinitrophenol, 2,4-dinitrophenol.

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brown fat
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March 02, 2021
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March 02, 2021
March 02, 2021 · Original source
And closer to home, a team from UCSF recently figured out the specifics of natural mitochondrial uncoupling. All mitochondria contain certain uncoupling proteins - think of them as doors, in contrast to 2,4-DNP punching holes in the wall - for generating heat. These are well-understood in brown fat, a special kind of fat used to maintain body temperature, but most of the rest of the body is a mystery. The new paper suggests that uncoupling in other cells is orchestrated by the mitochondrial ADP/ATP carrier, a protein which helps shuffle the "depleted cellular battery" ADP into the mitochondria and the "recharged cellular battery" ATP out of it. At the same time, it lets a few protons escape the positively-charged side, uncoupling the mitochondrion a little bit. Depending on the relative level of ADP on either side, it might let more or fewer protons through. This forms a feedback loop that raises or lowers the level of uncoupling depending on the level of ATP in the cell.
Brown noise

Brown noise is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 20, 2022 and October 20, 2022. The archive places it in contexts such as "Brown noise was named after Robert Brown". It most often appears alongside Alpha, Andres, Buzsaki.

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Brown noise
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October 20, 2022
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October 20, 2022
October 20, 2022 · Original source
Did you know: White noise was named because its wave spectrum resembles white light. Pink noise was named because its wave spectrum resembles pink light. Brown noise was named after Robert Brown, who helped discover it. This is one of my least favorite facts. Lots of scientists seem tempted to wax rhapsodic about the importance of pink noise; the exact reasons were one of the parts of the book I didn’t quite understand. For our purposes, it just matters that this is the overall wave spectrum of the brain. How is this spectrum formed? This was one of the questions the book didn’t resolve for me. Are there a few hundred neurons here oscillating at 1 hertz, a few thousand there oscillating at 1.1 hertz, and so on, until we have enumerated thousands of different neuronal populations with very slightly different rhythms, and when you add them together you get the nice smooth pink noise curve? And then after a second, they all spontaneously rearrange themselves and there are a different few thousand populations and rhythms, still on the aggregate summing to pink noise? Sometimes it seems like the book is pointing to a model like this. Other times it seems like there are approximately five different rhythms in the brain, each with a name like “hippocampal theta” or “visual alpha”, and each usually involving a whole brain macroregion (eg the visual cortex). I still haven’t figured out how to reconcile these two perspectives - maybe the major rhythms are broad categories, and there are lots of subrhythms within them? In any case, these 1/n rhythms form the “background noise” of the brain. They exist at all times, whether you’re thinking hard, or in a sensory deprivation tank, or asleep (although each of those states will change which rhythm predominates). When neuroscientists want to study how the brain reacts to something, they usually measure the brain, do the thing, and subtract the pink noise spectrum from the result - again, on the grounds that it’s “background noise” which is disguising the effect of whatever their interesting intervention was. Buzsaki questions this practice and presents evidence that the state of the “background noise” matters a lot - this is the “randomness” that explains why the same person will respond to the same intervention different ways at different times. For example, he presents evidence showing that if you give someone a near-threshold stimulus (for example, a flashing light just barely bright enough that someone can detect it 50% of the time), then whether they detect it or not will depend on whether it occurs at the peak or the trough of the brain waves in the relevant area. Are Brain Waves Useful? Brain waves are kind of unavoidable. Rhythms presents a thought experiment about trying to design a brain that doesn’t fall into any natural oscillatory patterns. It’s pretty hard! Even if brain waves were useless, we would probably have them just because they’re too much trouble to avoid. Still, evolution tends to make virtues out of necessity, and Buzsaki thinks brain waves matter a lot. Again without claiming to have fully understood this, here are four things that brain waves might do: Brain waves provide “synchrony”, allowing a smallest granular unit of time and essentially converting life into a turn-based game. Suppose that a snake bites your foot. You see the snake with your eyes, and also get a pain signal from your foot. The pain signal has to travel a long way, nerves have conduction delays, and so it reaches your brain well after the visual signal. But your brain needs to be able to combine the visual and pain signals into a single story (snake bit my foot). Brain waves separate experience into short granular “turns” so that the brain can attribute both stimuli to the same “turn” and connect them. It’s also possible I’m totally misunderstanding this part, sorry.
Brown Scare

Brown Scare is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 23, 2024 and July 23, 2024. The archive places it in contexts such as "Curtis Yarvin calls cancellation “the Brown Scare”". It most often appears alongside Afghanistan, Akhenaten, Al Franken.

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Brown Scare
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July 23, 2024
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July 23, 2024
July 23, 2024 · Original source
Sorry, I don’t know how this one got in there. The most complete response was by Postcards From Barsoom, which recommended Right Wing Cancel Squads. That there are so many of us who feel queasy at the thought of getting low-level proles fired from their jobs for sounding off online is a very good thing. It speaks to the fact that, unlike the enemy, we actually have a moral centre. Notably, this was never a serious debate on the left. Those few left-wing voices in the early teens who championed classical liberal principles of freedom of expression were summarily cancelled themselves, and are largely on our side now. In an ideal world, we would all give one another vastly greater latitude. No one would get mobbed, fired, forced to resign, kicked out of school, or ostracized from their professional networks for the non-crime of an unpopular opinion. No one would have to worry about people combing through decade-old social media posts looking for gotcha words that weren’t gotchas when they were written, but became crimespeak ex post facto. In the long run, it’s essential that we aim for permissive social mores regarding public and private discourse. This is a simple matter of technological context. Social media means that there is a more or less indelible record of your every public utterance; sure, you can try to scrub it, but that won’t stop screenshots; sure, you can try to cloak yourself behind a pseudonymous identity, but that just means you need to worry about doxxing. Cell phones mean that your private conversations can be recorded. We live in an electronic surveillance society now. We’re all watching one another, all the time, and short of a Carrington Event knocking us back into the iron age, there’s no realistic possibility of that changing. If we keep holding one another to impossible standards of public discourse, we will live in a totalitarian hell; that is, indeed, precisely the world that we have all lived in, for the last decade. The only way we avoid this is by adopting a public ethos that is exceptionally forgiving. But we do not live in that world yet, and that is entirely the left’s fault. [...] If we are going to arrive at a social compromise in which we do not punish people for their speech, a reaffirmation for the Sand Age of the ancient Saxon right to plainly speak one’s mind, it is necessary that everyone develop a keen appreciation of just how horrible the alternative is. This can only be grounded in a visceral revulsion at the very thought of cancellation, the way the world has looked at chemical weapons ever since the Great War, which in turn must come from direct, personal experience of what it feels like to be on the receiving end. To this end, distasteful as it may seem, the liberal’s face must be pressed down into her own steaming pile of excrement. She must be made to taste it, and gag, and swallow nonetheless. She must be made to weep burning tears. She must be traumatized, and made to understand that this is what she did, that these are the rules of engagement that she established, that these are the consequences of loss in this awful game that she has forced all of us to play. She needs to beg for the game to end, for the rules to change. Take a second to sympathize. From the Right’s perspective, the Left has beaten, shamed, and terrorized them for at least a decade. Now, the moment they get some chance to retaliate, their enemies say “Hey, bro, come on, being mean is morally wrong, you’ve got to be immaculately kind and law-abiding now that it’s your turn”, while still obviously holding behind their back the dagger they plan to use as soon as they’re on top again. I won’t be able to convince anyone of the ethics of seeking vengeance vs. turning the other cheek. But a few thoughts on the specific practical arguments being deployed: 1. Nobody Learns Anything Useful From Being Persecuted Going back to that excerpt from the Postcards From Barsoom blog: If we are going to arrive at a social compromise in which we do not punish people for their speech, a reaffirmation for the Sand Age of the ancient Saxon right to plainly speak one’s mind, it is necessary that everyone develop a keen appreciation of just how horrible the alternative is. This can only be grounded in a visceral revulsion at the very thought of cancellation, the way the world has looked at chemical weapons ever since the Great War, which in turn must come from direct, personal experience of what it feels like to be on the receiving end. To this end, distasteful as it may seem, the liberal’s face must be pressed down into her own steaming pile of excrement. She must be made to taste it, and gag, and swallow nonetheless. She must be made to weep burning tears. She must be traumatized, and made to understand that this is what she did, that these are the rules of engagement that she established, that these are the consequences of loss in this awful game that she has forced all of us to play. She needs to beg for the game to end, for the rules to change. You mean like you’re doing now? The right-wingers admit that they have suffered terribly at the hands of cancellation mobs. Okay, check. They admit it’s made them so mad that they want a bloodbath of cancelling liberals harder than anyone has ever been cancelled before. Okay, check. And now they say . . . that lefties must suffer terribly at the hands of cancellation mobs, because it will teach them that cancellation is wrong? If being on the receiving end could teach people cancellation was bad, it would have taught you that. It obviously hasn’t, so try a different strategy. 2. This Isn’t Tit For Tat, It’s The Nth Round Of A Historical Dialectic “Given that liberals invented cancel culture ten years ago, shouldn’t we get ten years of conservative cancel culture, just to be fair?” asks someone totally divorced from historical reality. Modern progressive cancel culture is the successor of the 1950s establishment that would cancel you for being an atheist pinko peacenik. Curtis Yarvin calls cancellation “the Brown Scare”, by analogy to the Red Scare that came before. And Arthur Miller called the Red Scare a “witch hunt”, by analogy to actual witch hunts, the Spanish Inquisition, and the history of burning heretics at the stake. And what was Diocletian’s persecution of the Early Church if not cancel culture? People joke that “cancel culture began with Socrates”, but I don’t buy it. Seen on Wikipedia: [In 1345 BC], Akhenaten … ordered the defacing of Amun's temples throughout Egypt … Archaeological discoveries at [Amarna] show that many ordinary residents of this city chose to gouge or chisel out all references to the god Amun on even minor personal items that they owned, such as commemorative scarabs or make-up pots, perhaps for fear of being accused of having Amunist sympathies. When the Priests of Amun came back into power, they took the low road: This culture shift away from traditional religion was reversed after his death. Akhenaten's monuments were dismantled and hidden, his statues were destroyed, and his name excluded from lists of rulers compiled by later pharaohs. And since righteous vengeance had been attained and both sides now had experience with cancel culture being morally wrong, everyone agreed the ledger was balanced, and nobody ever tried cancelling anyone else ever again. No, seriously, we got the entire rest of history. Aldous Huxley famously described the state of things c. 1944 as: Only one more indispensable massacre of Capitalists or Communists or Fascists or Christians or Heretics, and there we are—there we are in the Golden Future. Just one more indispensable cancellation, and there we are! Instead, I think of unfreedom of conscience as a scourge that has troubled humanity throughout history, like famine or plague or war. As with all scourges, very-long-run progress coexists with occasional disastrous relapses. The solution isn’t to get the other side and balance the ledger, it’s to keep developing the physical and social technology that’s gradually improved things in the past. 3. You’re Not Debating Whether To Become Like Woke People, You’re Already Like Woke People An old psychoanalyst’s trick: if somebody ruminates too much over some decision, it’s to distract from some other decision they’re trying not to notice. The hidden decision here is whether to treat people as collectives or individuals. One of the fundamental problems with wokeness was that it believed in collective guilt and collective punishment. White people caused slavery, therefore white people stood condemned. No matter that the actual white person involved was 150 years removed from slavery, or was a Polish immigrant whose family hadn’t even been in the country at the time, or whatever. They have some excuse like “well all white people benefit from white supremacy in tangible ways, or at least didn’t speak out against it”. I hate to say it, but “some left-wing journalist got people cancelled, therefore I should be able to cancel a left-wing Home Depot employee because The Left endorsed cancel culture” is the same kind of argument. “But wasn’t the Left monolithically united behind cancel culture?” You can find some data here. I’m presenting a representative sample of questions, but check the rest to keep me honest: Unless you really lay on the tribal signifiers, it’s hard to find a definition where most Democrats support cancel culture and most Republicans oppose it! (the above poll probably overestimates support for cancel culture, because it talks about saying “things widely considered hateful” instead of, like, one tweet expressing a widely-shared opinion at the wrong time) Liberals invent a fictional entity called “The Right”, which is full of all of the most racist and fascist things that NYT was ever able to produce an out-of-context quote showing one Claremont guy saying, then believe that any action is justified against “The Right” because it’s an ontological threat against democracy, then rile up a mob against a Google guy who sends the wrong memo. Likewise, conservatives invent a fictional entity called “The Left”, which is full of all the most horrible woke things that FOX was ever able to find one Gender Studies professor saying, then believe that any action is justified against “The Left” because it’s coming for our children, then rile up a mob against a Home Depot woman who makes a bad tweet. 4. Nobody Is Ever Both-Sides-ist Enough I hate this because I’ve fought with these people on the Left, and they sound exactly the same. “If you feel like compromising with the Right, it’s important to remember what they’ve done. They separated families and locked children in cages. They forced 10-year-old rape victims to carry their rapists’ babies. They murdered our grandparents by refusing to mask in the middle of a pandemic. They killed thousands of American soldiers in a war over fake WMDs, then cut VA funding so the soldiers they wounded would die on the street. At this very moment, they’re boiling our planet alive to protect fossil fuel barons’ profits. How dare you suggest it could possibly be wrong to cancel someone like that!” This isn’t a knock-down argument. Sometimes you’re right when you think your enemies are bad, and they’re wrong when they think you’re bad. I can’t say for sure this isn’t one of those times. But: The fact that your enemies are just as sure as you are should make you less sure.
Brown v Board of Education

Brown v Board of Education is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 18, 2021 and November 18, 2021. The archive places it in contexts such as "influenced the US Supreme Court in Brown v Board of Education". It most often appears alongside 23andme, AB, Abraham Mendelssohn.

Mention count
1
Issue count
1
First seen
November 18, 2021
Last seen
November 18, 2021
November 18, 2021 · Original source
Another relevant family that doesn't have the heredity explanation - Gunnar Myrdal won the Economics Nobel in 1974 (partly for work that influenced the US Supreme Court in Brown v Board of Education), and his wife Alva Myrdal won the Nobel Peace Prize in 1982 (the only married couple to win separate Nobels). Their daughter, Sissela, is a moderately known philosopher, who married the President of Harvard, Derek Bok. Their daughter Hilary Bok is another philosopher, who also had a bit of fame with the political blog Obsidian Wings a decade or so ago.
Brunet

Brunet is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 26, 2025 and July 26, 2025. The archive places it in contexts such as "quotes extensively from an early Irish law book (Brunet = 16.9)". It most often appears alongside 4chan, ACX, ACX.

Reference entry
Brunet
Mention count
1
Issue count
1
First seen
July 26, 2025
Last seen
July 26, 2025
July 26, 2025 · Original source
Complexity Approach 3 – Lexical diversity Third, I looked at sentence construction. The type-token ratio is a simple measure of vocabulary richness, calculated by dividing the number of unique words (types) by the total number of words (tokens) in a text. This measure has a very specific problem in the context of the Commentariat in that it becomes less useful as comments become longer (because the chance of repeating a word increases). Therefore, I’ve also used the ‘Brunet Index’, which I know nothing about but which Google tells me fixes this problem. The two measures have an inverse relationship to each other – type/token ratio measures lexical variety, Brunet Index measures lexical staleness. Weirdly, we do see a clear trend for a peak occurring in 2017 like the other complexity measures, but this trend is in the opposite direction than we might expect – the time of maximum comment length / word complexity was also the time of maximally stale vocabulary. I think, in hindsight, that this is reflecting a unique characteristic of the ACX Commentariat, which is that it is unusually likely to develop an idea or conceptual schema rather than just asserting something and moving on. For example, here’s a Comment of the Week where Anatoly spends a very long time explaining the different meanings of ‘infinite’ and ‘finite’ in the context of explaining why P=NP is a difficult problem. It has a Brunet Index of 14.3 (so a little less than double the local average) because it repeats the words ‘infinite’, ‘finite’ and ‘algorithm’ many times. But I agree with the responses that this is a great comment, and exactly the sort of thing which only the ACX Commentariat seems to produce with any regularity. For a more recent example, here’s another comment of the week by Benjamin Jolley which adds some details to Scott’s post The Compounding Loophole, and is also clearly a great post which fits very well into the Commentariat corpus. So my conclusion here is that documentation for these tests assumes that stale vocabulary is always bad, because it expects you to be using the tests on – for example - novels. However, stale vocabulary isn’t inherently good or bad, and in this case it serves as a marker for something the Commentariat like or value. Anecdotally, it looks like what the Commentariat value is something like ‘well defined terms’. Even if this doesn’t map cleanly to something we can point to, there’s no accounting for taste - if the Commentariat just happen to prefer lengthy stale sentences there’s nothing actually wrong with that. Therefore, this measure is consistent with the other measures of complexity even though it very clearly shows the opposite relationship than I expected. Just for fun, I thought I would show the most repetitive comment ever written. This was actually slightly difficult as there are a lot of things which are both comments and repetitive but which would be uninteresting to count (spam, code snippets, pasted text from early LLMs where the model hangs and repeats the same text to infinity). The most repetitive non-spam comment which I reckon was generated by humans alone is this comment by Deiseach, which quotes extensively from an early Irish law book (Brunet = 16.9). The most repetitive non-spam comment which I reckon has a single human author is this comment by Fahundo (Brunet = 16.5), giving the answer to a logic problem in ROT13 (so actually possibly breaks the rule about not using a computer in the writing, but not in the way I meant!) Complexity Approach 4 – Reading age Finally, I looked at reading age, although this approach was largely unsuccessful. ‘Reading age’ is an approximate composite measure of the complexity of language and sentence construction in a piece of text. There are quite a few different measures of reading age, which all show roughly the same outcome in my data. The one I have depicted below is the Flesh-Kincaid Grade level, which roughly tracks how many years of continuous schooling you would theoretically need to read and understand the text. The Commentariat is a largely very intellectual bunch and so a typical reading age of around 10.5 is unsurprising (a typical SSC/ACX comment is just barely less complex than an academic article in terms of vocabulary and construction, and the most complex comments significantly exceed this). The graph shows that comment complexity jumps by approximately half a grade level when SSC becomes ACX, but I’m a bit sceptical this is a ‘real’ effect. Most reading age formulae track sentence length very closely, and for some reason sentence length also changes significantly around this time. I could genuinely believe that sentence length changes on the switch to ACX, but I don’t think measures of reading age are designed to be valid if sentence length is changing for reasons unrelated to the complexity of text, so I don’t think you can confidently conclude the ACX comments are more sophisticated from this measure alone. Complexity - Conclusions Overall, it is appropriate to discover that my measure of ‘complexity of thought’ is itself complex. We do see very clear peaks in the SSC era, but not actually quite in the place we expected to see them. Similarly, we don’t always see the peak in the direction we expect (sentences are long and stale in the peak SSC years, which doesn’t seem like a recipe to promote engagement). Finally, we have a puzzle about how the Substack UI/UX causes significantly fewer sentences per comment. My conclusion here is that these data are completely consistent with a Commentariat who have a particular thing that they like, which peaked in 2017. This thing quantitively looks like long stale sentences, but actually might qualitatively feel different – like for example careful definitions of words which are then used repeatedly. As for why the peak sentence length is after peak engagement, my best guess is that people didn’t stop engaging at random; the people with the strongest commitment to the Commentariat stuck around longest, and these are also the people with the most respect for SSC cultural norms (leave long, thoughtful comments) and willingness to dedicate time to commenting. I have heard this described as ‘evaporative cooling’ before. This group of ‘fanatics’ hung around for a bit longer than everyone else, but eventually either they mostly left too or their influence on discussion norms was not strong enough to prevent a reversion towards the comment section mean (which tends towards shorter and less rigorous comments) What happened in 2016? From the data I extracted, it is clear something happened to the Commentariat in 2016(ish) and again in 2021 with the switch to ACX. Of the four measures I presented: Depth of engagement shows two clear directional reversals in 2016 and 2021
I think, in hindsight, that this is reflecting a unique characteristic of the ACX Commentariat, which is that it is unusually likely to develop an idea or conceptual schema rather than just asserting something and moving on. For example, here’s a Comment of the Week where Anatoly spends a very long time explaining the different meanings of ‘infinite’ and ‘finite’ in the context of explaining why P=NP is a difficult problem. It has a Brunet Index of 14.3 (so a little less than double the local average) because it repeats the words ‘infinite’, ‘finite’ and ‘algorithm’ many times. But I agree with the responses that this is a great comment, and exactly the sort of thing which only the ACX Commentariat seems to produce with any regularity. For a more recent example, here’s another comment of the week by Benjamin Jolley which adds some details to Scott’s post The Compounding Loophole, and is also clearly a great post which fits very well into the Commentariat corpus. So my conclusion here is that documentation for these tests assumes that stale vocabulary is always bad, because it expects you to be using the tests on – for example - novels. However, stale vocabulary isn’t inherently good or bad, and in this case it serves as a marker for something the Commentariat like or value. Anecdotally, it looks like what the Commentariat value is something like ‘well defined terms’. Even if this doesn’t map cleanly to something we can point to, there’s no accounting for taste - if the Commentariat just happen to prefer lengthy stale sentences there’s nothing actually wrong with that. Therefore, this measure is consistent with the other measures of complexity even though it very clearly shows the opposite relationship than I expected. Just for fun, I thought I would show the most repetitive comment ever written. This was actually slightly difficult as there are a lot of things which are both comments and repetitive but which would be uninteresting to count (spam, code snippets, pasted text from early LLMs where the model hangs and repeats the same text to infinity). The most repetitive non-spam comment which I reckon was generated by humans alone is this comment by Deiseach, which quotes extensively from an early Irish law book (Brunet = 16.9). The most repetitive non-spam comment which I reckon has a single human author is this comment by Fahundo (Brunet = 16.5), giving the answer to a logic problem in ROT13 (so actually possibly breaks the rule about not using a computer in the writing, but not in the way I meant!) Complexity Approach 4 – Reading age Finally, I looked at reading age, although this approach was largely unsuccessful. ‘Reading age’ is an approximate composite measure of the complexity of language and sentence construction in a piece of text. There are quite a few different measures of reading age, which all show roughly the same outcome in my data. The one I have depicted below is the Flesh-Kincaid Grade level, which roughly tracks how many years of continuous schooling you would theoretically need to read and understand the text. The Commentariat is a largely very intellectual bunch and so a typical reading age of around 10.5 is unsurprising (a typical SSC/ACX comment is just barely less complex than an academic article in terms of vocabulary and construction, and the most complex comments significantly exceed this). The graph shows that comment complexity jumps by approximately half a grade level when SSC becomes ACX, but I’m a bit sceptical this is a ‘real’ effect. Most reading age formulae track sentence length very closely, and for some reason sentence length also changes significantly around this time. I could genuinely believe that sentence length changes on the switch to ACX, but I don’t think measures of reading age are designed to be valid if sentence length is changing for reasons unrelated to the complexity of text, so I don’t think you can confidently conclude the ACX comments are more sophisticated from this measure alone. Complexity - Conclusions Overall, it is appropriate to discover that my measure of ‘complexity of thought’ is itself complex. We do see very clear peaks in the SSC era, but not actually quite in the place we expected to see them. Similarly, we don’t always see the peak in the direction we expect (sentences are long and stale in the peak SSC years, which doesn’t seem like a recipe to promote engagement). Finally, we have a puzzle about how the Substack UI/UX causes significantly fewer sentences per comment. My conclusion here is that these data are completely consistent with a Commentariat who have a particular thing that they like, which peaked in 2017. This thing quantitively looks like long stale sentences, but actually might qualitatively feel different – like for example careful definitions of words which are then used repeatedly. As for why the peak sentence length is after peak engagement, my best guess is that people didn’t stop engaging at random; the people with the strongest commitment to the Commentariat stuck around longest, and these are also the people with the most respect for SSC cultural norms (leave long, thoughtful comments) and willingness to dedicate time to commenting. I have heard this described as ‘evaporative cooling’ before. This group of ‘fanatics’ hung around for a bit longer than everyone else, but eventually either they mostly left too or their influence on discussion norms was not strong enough to prevent a reversion towards the comment section mean (which tends towards shorter and less rigorous comments) What happened in 2016? From the data I extracted, it is clear something happened to the Commentariat in 2016(ish) and again in 2021 with the switch to ACX. Of the four measures I presented: Depth of engagement shows two clear directional reversals in 2016 and 2021
Brunet Index

Brunet Index is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 26, 2025 and July 26, 2025. The archive places it in contexts such as "I’ve also used the ‘Brunet Index’, which I know nothing about but which Google tells me fixes this problem". It most often appears alongside 4chan, ACX, ACX.

Reference entry
Brunet Index
Mention count
1
Issue count
1
First seen
July 26, 2025
Last seen
July 26, 2025
July 26, 2025 · Original source
Complexity Approach 3 – Lexical diversity Third, I looked at sentence construction. The type-token ratio is a simple measure of vocabulary richness, calculated by dividing the number of unique words (types) by the total number of words (tokens) in a text. This measure has a very specific problem in the context of the Commentariat in that it becomes less useful as comments become longer (because the chance of repeating a word increases). Therefore, I’ve also used the ‘Brunet Index’, which I know nothing about but which Google tells me fixes this problem. The two measures have an inverse relationship to each other – type/token ratio measures lexical variety, Brunet Index measures lexical staleness. Weirdly, we do see a clear trend for a peak occurring in 2017 like the other complexity measures, but this trend is in the opposite direction than we might expect – the time of maximum comment length / word complexity was also the time of maximally stale vocabulary. I think, in hindsight, that this is reflecting a unique characteristic of the ACX Commentariat, which is that it is unusually likely to develop an idea or conceptual schema rather than just asserting something and moving on. For example, here’s a Comment of the Week where Anatoly spends a very long time explaining the different meanings of ‘infinite’ and ‘finite’ in the context of explaining why P=NP is a difficult problem. It has a Brunet Index of 14.3 (so a little less than double the local average) because it repeats the words ‘infinite’, ‘finite’ and ‘algorithm’ many times. But I agree with the responses that this is a great comment, and exactly the sort of thing which only the ACX Commentariat seems to produce with any regularity. For a more recent example, here’s another comment of the week by Benjamin Jolley which adds some details to Scott’s post The Compounding Loophole, and is also clearly a great post which fits very well into the Commentariat corpus. So my conclusion here is that documentation for these tests assumes that stale vocabulary is always bad, because it expects you to be using the tests on – for example - novels. However, stale vocabulary isn’t inherently good or bad, and in this case it serves as a marker for something the Commentariat like or value. Anecdotally, it looks like what the Commentariat value is something like ‘well defined terms’. Even if this doesn’t map cleanly to something we can point to, there’s no accounting for taste - if the Commentariat just happen to prefer lengthy stale sentences there’s nothing actually wrong with that. Therefore, this measure is consistent with the other measures of complexity even though it very clearly shows the opposite relationship than I expected. Just for fun, I thought I would show the most repetitive comment ever written. This was actually slightly difficult as there are a lot of things which are both comments and repetitive but which would be uninteresting to count (spam, code snippets, pasted text from early LLMs where the model hangs and repeats the same text to infinity). The most repetitive non-spam comment which I reckon was generated by humans alone is this comment by Deiseach, which quotes extensively from an early Irish law book (Brunet = 16.9). The most repetitive non-spam comment which I reckon has a single human author is this comment by Fahundo (Brunet = 16.5), giving the answer to a logic problem in ROT13 (so actually possibly breaks the rule about not using a computer in the writing, but not in the way I meant!) Complexity Approach 4 – Reading age Finally, I looked at reading age, although this approach was largely unsuccessful. ‘Reading age’ is an approximate composite measure of the complexity of language and sentence construction in a piece of text. There are quite a few different measures of reading age, which all show roughly the same outcome in my data. The one I have depicted below is the Flesh-Kincaid Grade level, which roughly tracks how many years of continuous schooling you would theoretically need to read and understand the text. The Commentariat is a largely very intellectual bunch and so a typical reading age of around 10.5 is unsurprising (a typical SSC/ACX comment is just barely less complex than an academic article in terms of vocabulary and construction, and the most complex comments significantly exceed this). The graph shows that comment complexity jumps by approximately half a grade level when SSC becomes ACX, but I’m a bit sceptical this is a ‘real’ effect. Most reading age formulae track sentence length very closely, and for some reason sentence length also changes significantly around this time. I could genuinely believe that sentence length changes on the switch to ACX, but I don’t think measures of reading age are designed to be valid if sentence length is changing for reasons unrelated to the complexity of text, so I don’t think you can confidently conclude the ACX comments are more sophisticated from this measure alone. Complexity - Conclusions Overall, it is appropriate to discover that my measure of ‘complexity of thought’ is itself complex. We do see very clear peaks in the SSC era, but not actually quite in the place we expected to see them. Similarly, we don’t always see the peak in the direction we expect (sentences are long and stale in the peak SSC years, which doesn’t seem like a recipe to promote engagement). Finally, we have a puzzle about how the Substack UI/UX causes significantly fewer sentences per comment. My conclusion here is that these data are completely consistent with a Commentariat who have a particular thing that they like, which peaked in 2017. This thing quantitively looks like long stale sentences, but actually might qualitatively feel different – like for example careful definitions of words which are then used repeatedly. As for why the peak sentence length is after peak engagement, my best guess is that people didn’t stop engaging at random; the people with the strongest commitment to the Commentariat stuck around longest, and these are also the people with the most respect for SSC cultural norms (leave long, thoughtful comments) and willingness to dedicate time to commenting. I have heard this described as ‘evaporative cooling’ before. This group of ‘fanatics’ hung around for a bit longer than everyone else, but eventually either they mostly left too or their influence on discussion norms was not strong enough to prevent a reversion towards the comment section mean (which tends towards shorter and less rigorous comments) What happened in 2016? From the data I extracted, it is clear something happened to the Commentariat in 2016(ish) and again in 2021 with the switch to ACX. Of the four measures I presented: Depth of engagement shows two clear directional reversals in 2016 and 2021
I think, in hindsight, that this is reflecting a unique characteristic of the ACX Commentariat, which is that it is unusually likely to develop an idea or conceptual schema rather than just asserting something and moving on. For example, here’s a Comment of the Week where Anatoly spends a very long time explaining the different meanings of ‘infinite’ and ‘finite’ in the context of explaining why P=NP is a difficult problem. It has a Brunet Index of 14.3 (so a little less than double the local average) because it repeats the words ‘infinite’, ‘finite’ and ‘algorithm’ many times. But I agree with the responses that this is a great comment, and exactly the sort of thing which only the ACX Commentariat seems to produce with any regularity. For a more recent example, here’s another comment of the week by Benjamin Jolley which adds some details to Scott’s post The Compounding Loophole, and is also clearly a great post which fits very well into the Commentariat corpus. So my conclusion here is that documentation for these tests assumes that stale vocabulary is always bad, because it expects you to be using the tests on – for example - novels. However, stale vocabulary isn’t inherently good or bad, and in this case it serves as a marker for something the Commentariat like or value. Anecdotally, it looks like what the Commentariat value is something like ‘well defined terms’. Even if this doesn’t map cleanly to something we can point to, there’s no accounting for taste - if the Commentariat just happen to prefer lengthy stale sentences there’s nothing actually wrong with that. Therefore, this measure is consistent with the other measures of complexity even though it very clearly shows the opposite relationship than I expected. Just for fun, I thought I would show the most repetitive comment ever written. This was actually slightly difficult as there are a lot of things which are both comments and repetitive but which would be uninteresting to count (spam, code snippets, pasted text from early LLMs where the model hangs and repeats the same text to infinity). The most repetitive non-spam comment which I reckon was generated by humans alone is this comment by Deiseach, which quotes extensively from an early Irish law book (Brunet = 16.9). The most repetitive non-spam comment which I reckon has a single human author is this comment by Fahundo (Brunet = 16.5), giving the answer to a logic problem in ROT13 (so actually possibly breaks the rule about not using a computer in the writing, but not in the way I meant!) Complexity Approach 4 – Reading age Finally, I looked at reading age, although this approach was largely unsuccessful. ‘Reading age’ is an approximate composite measure of the complexity of language and sentence construction in a piece of text. There are quite a few different measures of reading age, which all show roughly the same outcome in my data. The one I have depicted below is the Flesh-Kincaid Grade level, which roughly tracks how many years of continuous schooling you would theoretically need to read and understand the text. The Commentariat is a largely very intellectual bunch and so a typical reading age of around 10.5 is unsurprising (a typical SSC/ACX comment is just barely less complex than an academic article in terms of vocabulary and construction, and the most complex comments significantly exceed this). The graph shows that comment complexity jumps by approximately half a grade level when SSC becomes ACX, but I’m a bit sceptical this is a ‘real’ effect. Most reading age formulae track sentence length very closely, and for some reason sentence length also changes significantly around this time. I could genuinely believe that sentence length changes on the switch to ACX, but I don’t think measures of reading age are designed to be valid if sentence length is changing for reasons unrelated to the complexity of text, so I don’t think you can confidently conclude the ACX comments are more sophisticated from this measure alone. Complexity - Conclusions Overall, it is appropriate to discover that my measure of ‘complexity of thought’ is itself complex. We do see very clear peaks in the SSC era, but not actually quite in the place we expected to see them. Similarly, we don’t always see the peak in the direction we expect (sentences are long and stale in the peak SSC years, which doesn’t seem like a recipe to promote engagement). Finally, we have a puzzle about how the Substack UI/UX causes significantly fewer sentences per comment. My conclusion here is that these data are completely consistent with a Commentariat who have a particular thing that they like, which peaked in 2017. This thing quantitively looks like long stale sentences, but actually might qualitatively feel different – like for example careful definitions of words which are then used repeatedly. As for why the peak sentence length is after peak engagement, my best guess is that people didn’t stop engaging at random; the people with the strongest commitment to the Commentariat stuck around longest, and these are also the people with the most respect for SSC cultural norms (leave long, thoughtful comments) and willingness to dedicate time to commenting. I have heard this described as ‘evaporative cooling’ before. This group of ‘fanatics’ hung around for a bit longer than everyone else, but eventually either they mostly left too or their influence on discussion norms was not strong enough to prevent a reversion towards the comment section mean (which tends towards shorter and less rigorous comments) What happened in 2016? From the data I extracted, it is clear something happened to the Commentariat in 2016(ish) and again in 2021 with the switch to ACX. Of the four measures I presented: Depth of engagement shows two clear directional reversals in 2016 and 2021
Brutalist apartment blocks

Brutalist apartment blocks is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 17, 2023 and August 17, 2023. The archive places it in contexts such as "they did those Brutalist apartment blocks, which they thought were the ugliest they could possibly get". It most often appears alongside Alexander the Great, Amad, Amazon Echo.

Mention count
1
Issue count
1
First seen
August 17, 2023
Last seen
August 17, 2023
August 17, 2023 · Original source
“In fact, it’s even worse than that. When they started seventy-five years ago, they did those Brutalist apartment blocks, which they thought were the ugliest they could possibly get. But then they’d built a lot of them, the landlords who owned the Brutalist blocks became NIMBYs and wanted them not to go down in value, and there were still lots of people who needed new housing. So they spent billions of dollars to gather together all the worst architects in the world, the veterans of those CIA programs where they made bad art to psy-op the Soviets, and did a Manhattan Project to try to design a style even uglier than Brutalism. They came up with that “cute”, “playful” style you’ve been seeing everywhere lately. But it’s not bad enough! Sometimes upper-middle-class professionals who could in theory afford a pre-1950s house still rent them! Nobody knows why! The CIA worries that maybe the Soviets psy-oped us somehow.”
BsmBI

BsaI/BsmBI is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2024 and April 09, 2024. The archive places it in contexts such as "Restriction site SARS-CoV-2 BsaI/BsmBI restric". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

Reference entry
BsmBI
Mention count
1
Issue count
1
First seen
April 09, 2024
Last seen
April 09, 2024
April 09, 2024 · Original source
This alone isn’t fatal to lab leak. It’s perfectly possible for the lab to leak (let’s say) November 5th, the virus spreads a bit, and then a month later someone goes to the wet market, coughs on a vendor, and starts the officially recognized pandemic. But if that were true, you’d expect (let’s say) 30 cases by early December. Let’s say the wet market vendor was exactly Case # 30. She infected the other wet market vendors, starting a pandemic with an obvious center at the wet market and lots of infected wet market vendors and patrons. What about Case # 29? If they were (let’s say) a barista, how come they didn’t infect people at their coffee shop? How come there wasn’t a second obvious cluster radiating out from a coffee shop, lots of coffee-shop-linked cases, etc? How come there weren’t 30 equally-sized clusters? In order to avoid this, you either need to claim that the wet market was a perfect superspreader location, or that the pattern with lots of cases in the wet market and few-to-none anywhere else was a result of ascertainment bias. Saar made both those arguments during the debate, but I thought Peter rebutted them effectively. 1.4: COVID in Brazilian wastewater Nicholas Halden (blog) writes: What should we make of this study, which found the presence of covid in Brazilian wastewater in late 2019? Consider the doubling times. The study says that scientists working in late 2020 found COVID in samples of Brazilian wastewater from November 27, 2019. This was long before the first detected case of transmission in Brazil on March 13, 2020. Between November 27, 2019 and March 13, 2020 is about 16 weeks, so 32 COVID doubling times. 32 doubling times with no lockdown is enough time for COVID to infect every single person in Brazil. If COVID had infected everyone in Brazil before the first recognized case, we would have noticed. (again, COVID doubling time isn’t exactly invariably 3.5 days, but here we’re talking about numbers big enough that the exact details don’t matter very much) So if COVID was in Brazil on November 27, it must have fizzled out instead of going pandemic. How likely is that? If one person had COVID, it’s not too unlikely - not all COVID cases transmit it forward. If (let’s say) twenty people had COVID, it’s very unlikely - at that point, the law of large numbers takes over; in a freak coincidence, every single patient would have to fail to infect anyone else. So almost certainly fewer than 20 people in Brazil had COVID in November 27. So which is more likely - that somehow 20 people had COVID long before the virus was officially detected, and on a totally different continent, yet somehow a scientist looking through wastewater found the water from exactly those people and managed to detect the virus? Or that there was a sampling error, which happens all the time in these kinds of things? Peter wrote a blog post on some of these issues. He found that there were positive tests from wastewater samples as early as March 2019, which doesn’t fit anyone’s timeline, including lab leakers’. And most of these positives (including the Brazilian sample) contained later strains of the virus with mutations it picked up late in 2020. So these were almost certainly false positives from contamination. 1.5: Biorealism’s 16 arguments Biorealism has a list of sixteen arguments, which he liked so much that he posted it three times in the ACX comments, twice on Less Wrong, twice on Manifold, and about a dozen times on Twitter under multiple account names. Some posts were slightly different from others, but a typical version is: Importantly, Miller incorrectly claimed the N501Y mutation would result from passage in hACE2 mice (mixed them up with BALB/c mice). The major papers Miller relied on have been seriously challenged since the debate. See Stoyan and Chiu (2024), Weissman (2024), Bloom (2023) and Lv et al (2024). Overall the circumstantial evidence makes lab v plausible: Peter admitted getting this wrong during the debate. I think this very minor point about mice mutations was approximately his only mistake in 15 hours of debating, and he admitted it as soon as he noticed. Biorealism somehow heard about this (obviously not through watching the debate, as we’ll see in a moment), then left about 20-30 comments starting with it, under various accounts, on various platforms, as if it somehow discredited Peter. This is making me somewhat less charitable to him and his 16 arguments than I would be otherwise. 1. Chinese researchers Botao & Lei Xiao observed lab origin was likely given the nearest known relatives to SARS-CoV-2 were far from Wuhan. Wuhan Institute of Virology (WIV) sampled SARS-related bat coronaviruses where the nearest relatives are found in Yunnan, Laos and Vietnam ~1500km away. They refuse to share their records. The ancestral viruses of SARS were found equally far from where SARS spilled over into humans, so we know it’s possible (and likely) for viruses to travel that far. 2. Patrick Berche, DG at Institut Pasteur in Lille 2014-18, notes you would expect secondary outbreaks if it arose via the live animal trade. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234839/ There are constant outbreaks of weird coronaviruses in animal handlers. See eg this paper, which estimates about 60,000 of these per year. None of these ever go anywhere, because the farmers are in rural areas that aren’t dense enough to sustain a high R0, and the epidemic fizzles out after a single digit number of cases. Any early outbreaks of COVID would have vanished into this long and mostly unnoticed list. 3. Molecular data: Only sarbecovirus with a furin cleavage site. Well adapted to human ACE2 cells. Low genetic diversity indicating a lack of prior circulation (Berche 2023). Restriction site SARS-CoV-2 BsaI/BsmBI restriction map falls neatly within the ideal range for a reverse genetics system and used previously at WIV and UNC. Ngram analysis of the codon usage per Professor Louis Nemzer https://twitter.com/BiophysicsFL/status/1667232580255490053?t=IJgitS5cw364ioclzVWxaA&s=19 The SARS2 backbone is very low in CG and CpG. While the 12-nt insert that gives it the FCS is extremely high in both. Almost as if it was some kind of chimera of a consensus sequence and a codon-optimized polybasic cleavage site? https://twitter.com/BiophysicsFL/status/1752800486837678377?t=EpIRgyybJVaPgeMP5xdstA&s=19 https://www.biorxiv.org/content/10.1101/2022.10.18.512756v1 https://link.springer.com/article/10.1007/s10311-021-01211-0?fbclid=IwAR1HMUMtLIAFOFppVasQDeoIAYrVhP8j4YoPO4wnaTOUiKLsllZl_oKryOw Most of this was discussed extensively in the second session of the debate, which I recommend. The CGG-CGG arginine codon usage is particularly unusual but used in synthetic biology. I asked a synthetic biologist about this. He said: » “Nope. I would literally never do this if I was designing a small insert (maybe I wouldn't notice if it happened by chance with ~1 in 25 odds in a naive codon optimization algorithm as part of a larger sequence). High GC% is bad. Tandem repeat is worse. Several other perfectly fine arginine codons. And I wouldn't engineer a viral genome using human codon usage. An engineer would not do it.” 4. DEFUSE full proposal: virus 20% different from SARS1, consensus seq assembled with 6 segments, without disrupting coding seq, BsmBI order, FCS. SARS2: 20% different than SARS1, 6 evenly spaced fragments w BsmBI and BsaI restriction sites, FCS. Jesse Bloom, Jack Nunberg, Robert Townley, Alexandre Hassanin have observed this workflow could have lead to SARS-CoV-2. Work often begins before funding sought or goes ahead anyway. Re: 4 - Also scattered across second section of debate, also not going to retread 5. Market cases were all lineage B. Lv et al (2024) indicates there was a single point of emergence and A came before B. So market cases not the primary cases. See also Bloom (2021), Kumar et al (2022). Peter Ben Embarek said there were likely already thousands of cases in Wuhan in December 2019.https://t.co/50kFV9zSb6 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/34398234/ https://academic.oup.com/bioinformatics/article/38/10/2719/6553661 There was a Lineage A sample in the market, lab leak proponents just try to ignore/dismiss/conspiracize it away. The first two known Lineage A cases were very close to the market. Lv (is this even a real name? It sounds like Roman numeral? But I guess that’s what you expect in a country ruled by someone named Xi) found some weird COVID variants in Shanghai that might or might not mean anything; you can see some discussion of the implications here, but I don’t think they’re strong evidence either way. If A was first, it means some really weird stuff coincidences have to happen to give us the spread rates and genetic clock data we get, but they’re not necessarily weirder in the zoonosis hypothesis than the lab leak one. The claim that there were “thousands of cases in Wuhan in December 2019” is very easy to disprove by doubling rate arguments like the one above, by the blood bank study mentioned above, by the WHO’s failed case search, and by many other lines of argument. 6. Evidence for lineage A in the market is based on a low quality sample according to Liu et. al. (2023). I really think lab leakers need to decide whether they think China is a sinister actor trying to cover up the truth, or whether they should trust every offhand comment by Chinese government officials as gospel. Dr. Liu doesn’t explain in what sense he thinks the Lineage A sample is “low-quality”, and the Western scientists who I asked about this said they didn’t understand this complaint and that the sample was fine. A Western team re-analyzing the same sample describes it as “conclusively contain[ing] Lineage A.” I think most lab leakers have switched from trying to deny the genetics to claiming that this was “contamination”, which also doesn’t make sense (the sample is genetically very early). Note that aside from this sample, the first two Lineage A cases discovered were both very close to the wet market. 7. Bloom (2023) shows market samples do not support market origin. There is also no evidence of transmission in the claimed susceptible animals elsewhere. https://academic.oup.com/ve/advance-article/doi/10.1093/ve/vead089/7504441 Discussed extensively in my article as well as the first section of the debate. 8. Lineage A and B only two mutations apart. François Ballox, Bloom and Virginie Courtier-Orgogozo note this is unlikely to reflect two separate animal spillovers as opposed to incomplete case ascertainment of human to human transmission (Bloom 2021). Discussed extensively in my article as well as the first section of the debate. 9. Sampling bias. George Gao, Chinese CDC head at the time, acknowledged to the BBC stating they may have focused too much on and around the market and missed cases on the other side of the city. David Bahry outlines the documented bias. Michael Weissman has shown this mathematically. https://journals.asm.org/doi/10.1128/mbio.00313-23 https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnae021/7632556 Re: Dr. Gao, see above comment about Chinese officials. See the section Ascertainment Bias below for why I disagree with this specific claim, which also addresses the Michael Weissman argument. 10. Spatial statistics experts show the Worobey claim the market was the early epicentre was flawed. https://academic.oup.com/jrsssa/advance-article-abstract/doi/10.1093/jrsssa/qnad139/7557954 Re: 10 - See Confirmation Of The Centrality Of The Huanan Market Among Early COVID-19 Cases, a response to the paper you cite: The centrality of Wuhan's Huanan market in maps of December 2019 COVID-19 case residential locations, established by Worobey et al. (2022a), has recently been challenged by Stoyan and Chiu (2024, SC2024). SC2024 proposed a statistical test based on the premise that the measure of central tendency (hereafter, "centre") of a sample of case locations must coincide with the exact point from which local transmission began. Here we show that this premise is erroneous. SC2024 put forward two alternative centres (centroid and mode) to the centre-point which was used by Worobey et al. for some analyses, and proposed a bootstrapping method, based on their premise, to test whether a particular location is consistent with it being the point source of transmission. We show that SC2024's concerns about the use of centre-points are inconsequential, and that use of centroids for these data is inadvisable. The mode is an appropriate, even optimal, choice as centre; however, contrary to SC2024's results, we demonstrate that with proper implementation of their methods, the mode falls at the entrance of a parking lot at the market itself, and the 95% confidence region around the mode includes the market. Thus, the market cannot be rejected as central even by SC2024's overly stringent statistical test. I think this response is pretty strong. In one analysis, they show that even though the other paper’s methodology is worse than theirs, if you apply it correctly (instead of inappropriately excluding various cases like the paper’s authors did), the center of all early cases in Hubei province lands on the wet market parking lot. In another analysis, they show that the other paper’s recommended tests wouldn’t have correctly pointed to the offending water pump in the famous John Snow cholera outbreak, but theirs would have. Still, I think it’s useful to supplement fancy statistics with normal common sense, so I recommend just looking at the map of early cases: …and deciding whether you think the assumptions behind a specific statistical test are likely to debunk the idea that cases are centered around the wet market. 11. Wuhan used as a control for a 2015 serological study on SARS-related bat coronaviruses due to its urban location. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178078/ I don’t know why this point is supposed to matter. If you mean that Wuhan isn’t directly exposed to bats, nobody ever said it was. The zoonotic theory is that wildlife carted in from other areas of China started the pandemic in the wet market. 12. Superspreader events also seen at wet markets in Beijing and Singapore (Xinfadi and Jurong). This was discussed very extensively in the debates, both in section 1 and section 3. Wet markets weren’t “superspreader locations” - in fact, the disease spread no more quickly there than anywhere else. They were the first place in those cities that the pandemic started, due to contaminated animal products. If anything, this supports zoonosis. See also my discussion with Saar on this point below. 13. WIV refuse to share their records with NIH who terminated subaward in 2022. Wider suspension over biosafety concerns. https://www.bloomberg.com/news/articles/2023-07-18/us-suspends-wuhan-institute-funds-over-covid-stonewalling Although WIV has not been especially forthcoming, some of their databases were leaked in various ways and showed that they did not have any viruses capable of transforming into COVID. 14. PLA involvement at WIV and MERS research prior to SARS-COV-2. MERS features several similarities with SARS-CoV-2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022351/ I can’t even tell what conspiracy theory you’re trying to propose with this one; if you spell it out I can try to explain why it might be false. 15. SARS1 leaked several times and SARS-COV-2 has leaked from a BSL-3 lab in Taiwan. Agreed that SARS leaked several times. It also spilled over from animals several times. During the debate, a lab leak rate of once per lab per 500 years was proposed (everyone agreed to steelman this by 10x for WIV numbers); I would be interested to know whether anything about the study of SARS challenges that number. 16. Unpublished infectious clone identified from Wuhan contradicting arguments such reverse genetics systems would be published. https://www.biorxiv.org/content/10.1101/2023.02.12.528210v1.full I asked some scientists about this paper and here’s what they told me. Wuhan University sequenced some rice. In the middle of the sequence, there’s an unexpected sequence from a common coronavirus, HKU4. The most likely explanation is that someone else in Wuhan was working on the coronavirus and there was cross-contamination. Plausibly this is Wuhan Institute of Virology, who is known to work with coronaviruses. This is cool detective work, but it’s not clear what it’s supposed to prove. I think some lab leakers are using it to prove that WIV can do reverse genetics, but they admitted this already in a published paper so that’s not too helpful. I think others are using it to prove WIV had “secret viruses” in their catalogue, but the rice virus wasn’t secret, it was HKU4, which is common and which WIV has already published papers about. 1.6: DrJayChou’s 7 Arguments Once again, I cannot stress enough how much better a take you might have on this debate if you watch it. “The first known case predates the market outbreak by a month” - this is not the consensus position. I cannot say for sure what Dr. Chou means by this, but I suspect he’s referring to one of the many claims to this effect that Peter effectively debunked during the debate (Connor Reed, Mr. Chen, the 92 cases, Brazil, etc).
BSE

BSE is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 12, 2024 and July 12, 2024. The archive places it in contexts such as "if BSE passed to humans"; "BSE itself was a huge problem for the cattle industry"; "cows that spread BSE". It most often appears alongside 1980s, 1989, 1990s.

Reference entry
BSE
Mention count
1
Issue count
1
First seen
July 12, 2024
Last seen
July 12, 2024
July 12, 2024 · Original source
(This report was, as it happens, published in the exact same month as The Family That Couldn’t Sleep.) DTM came to know the family well. He befriended them by way of two members of their younger generation, Lisi – a woman terrified by the shadow of the disease, and Ignazio – the doctor she had married, who was more terrified by the shadow of the disease. Ignazio put together the pieces of the family puzzle, consolidating all the disparate diagnoses into a single disorder and filling out a lot of blank spots on family trees. When DTM came along, he was able to help Ignazio make the case that the family would benefit from the spotlight – that greater awareness of FFI could lead to a cure both for them and for a slew of other prion diseases. As it so happens, he is one of those nonfiction authors who serve as a character in their own story. DTM has some form of progressive muscular palsy. He is, or at least was in 2006, not entirely sure what it is. The relatively unimpressive state of genetics at the time had not identified his causative mutation, though it looked a lot like one of the rarer forms of Charcot-Marie-Tooth disease2. DTM is pragmatic about this, the way everyone chronically ill is either pragmatic or doomed. Whatever he has, it is a defect in protein structure; his peripheral nerves decay not because of a problem with the nerves themselves but an inability of their scaffolding to hold them together, as he puts it. The last chapter of the book dwells on this, on the web of connections popping up between a thousand disorders. DTM’s disease is something vaguely similar, if you squint, to an exceptionally slow-progressing motor neurone disease; if you jump another level out, you see amyloid plaque diseases like Huntington’s and Alzheimer’s, and if you jump yet another level out, you see something like prions. His interest in the Venetian family was driven by this. Some of its members thought this a beautiful act of sympathy; others thought him a grotesque parody of themselves, an onlooker, a gawker, peddling their tragedy to salve his relatively insignificant problems. They are, he thinks, both right. That’s the beginning, and that’s the end. What happens in the middle? --------------------------------------------------------- The Venetian family lends the book its title, but they’re really more of a framing device. The Family That Couldn’t Sleep is separated into four parts, of which the first and fourth – the shortest by far – deal with the family. Part 2 is kuru, the king of fucked up diseases you read about in clickbait Weird Medicine listicles. Let’s talk about kuru! Kuru, is, famously, the prion disease you get if you eat another person’s brain. Well, not quite. It’s a prion disease that became endemic amongst women in the Fore society, who ritually ate brains, one of which had an inherited or spontaneous prion disease. This is an important note – there’s a tendency (which the book’s later chapters engage in) to assume cannibalism just has a Prion Disease Generator attached. If you eat people who don’t have prion diseases, you won’t suddenly get one. Uh, don’t eat people. Anyway, part 2 is DTM’s historiography of Fore-Westerner first contact. It’s hilarious. Papua New Guinea is a frankly ridiculous place; one of the all-time best Lyttle Lytton winners (worst first sentence from a hypothetical or, in this case, real work) was “Papua New Guinea is so violent that more than 820 languages are spoken there”. The native residents were so hostile to outsiders that all the colonial empires had cut their losses – and when you think about the places they colonized, that says something. After the First World War, PNG was ripped from its nominal German ‘owners’, but no one else wanted the place. So, of course, they gave it to the Australians. It was thirty years and another war before we actually made contact. 1940s Australia was as ‘settled’ as it’d ever be; the cities were bustling and the interior was mapped. The kind of explorer who two centuries before would be heading to new continents had to console himself with Pacific islands. Console he did. The native peoples of the PNG coasts were hostile enough to the wannabe-colonialists that the Australians, flying planes overhead, were the first people to discover that the island’s inland was populated too. No one had broken through on land. In all this deep and angry rainforest, the Fore were the furthest out. They lived far into the island’s mountainous interior; DTM describes their territory as “nearly vertical”. Calling people primitives is a bit passe these days for understandable reasons, but no other term comes to mind. The Fore had no name for themselves; we call them by an exonym, “the people to the south”. They weren’t, to be clear, hunter-gatherers – they were slash-and-burn agriculturalists, but very well-fed ones. Despite the tendency in grain-focused cultures for poor agriculturalists to be stunted/malnourished, the Fore were a remarkably healthy people. Well, except for the famous bit. The first remarkable thing about the Fore was just how quickly they wanted to assimilate. Most PNG tribes weren’t particularly enthused by Western offers of injections/tractors/radios/Christianity. Yet as soon as the Australians arrived, the Fore made ceasefires in their wars with other tribes, volunteered to help large-scale Australian projects on the coast, started planting and trading coffee, and enthusiastically participated in censuses. It’s the only first-contact narrative I’ve seen where the colonizers were concerned about how badly the other guys wanted to be colonized. The next was the one that got their names in the history books. Australian officials started to notice a remarkable lack of women in Fore camps. Some tribes sequestered their women, particularly when Westerners were around, so at first they thought nothing of it. The high rate of unpartnered young men, though, was way out of PNG norms. DTM tells this part fantastically. The Fore chapters drip with the dread of dramatic irony. When the first breakthrough comes, you have to catch your breath: “Tiny” Carey noted something in the middle of August 1950 that deepened this mystery. He noticed that near the village of Henganofi there had been an unusual number of deaths. “It appears,” he wrote his superiors, “natives suffer from stomach trouble, get violent shivering, as with the ague, and die fairly rapidly.” [...] McArthur investigated a little more [...] One day in August 1953 he ran into more of the shivering people Tiny Carey had seen several years before: “Nearing one of the dwellings, I observed a small girl sitting down beside a fire. She was shivering violently and her head was jerking spasmodically from side to side.” It would be quite some time before anyone figured out what caused it – but the problem, as DTM notes, was that its cause wasn’t possible. Everyone priored that the weird undescribed disease in the Fore lands was some nocebo sorcery-sickness. Vincent Zigas, the first actual doctor sent to work with the Fore, tried to placebo-effect them and failed miserably: On the way, Apekono stopped at a hut and showed Zigas his first kuru victim. “On the ground in the far corner sat a woman of about thirty,” the doctor wrote. “She looked odd, not ill, rather emaciated, looking up with blank eyes with a mask-like expression. There was an occasional fine tremor of her head and trunk, as if she were shivering from cold, though the day was very warm.” It was almost exactly the tableau McArthur had witnessed in 1953. Zigas, though, was a doctor. He could do more than look—or so he thought: “I decided I might as well try my own variety of magic,” he remembered. He rubbed Sloan’s Liniment, a balm for sore muscles, on her and declared to her family and his guide: “The sorcerer has put a bad spirit inside the woman. I am going to burn this spirit so that it comes out of her and leaves her. You will not see the fire, but she will feel it. The bad spirit will leave her and she will not die.” The lotion penetrated the woman’s skin and she writhed in pain. “Get up! Walk!” Zigas commanded theatrically. “The woman struggled feebly as if to rise, then, exhausted, started to tremble more violently, making a sound of foolish laughter, akin to a titter.” That evening Apekono asked Zigas not to try to cure any more kuru victims; “Don’t use your magic medicine anymore. It will not win our strong sorcery.” This was a disaster. The Fore were so cooperative precisely because they hoped “Western magic” could conquer theirs. As it became clear it couldn’t, they turned hostile. The Australians had hoped to “modernize a Stone Age people”; now all their subjects were dropping dead before their eyes, from what they could only assume was a “hysterical reaction” to colonization itself. So, to solve this, they needed a batshit insane American. Carleton Gajdusek is one of the characters who dominates The Family That Couldn’t Sleep. He couldn’t not. You could put him in a car commercial and he’d dominate it. Gajdusek was a physician with a rare, intense combination of science and practice. He was a romanticist, a field worker, and a lover of everything strange. He’d been an army doctor, a government conspiracy-cover-upper, and a postdoc under Linus Pauling who described his intent as “to straighten out Pauling’s ideas about proteins”. He hated civilization, in a slightly-to-Ted’s-centre sense, and was passionate about “primitives and isolates”. He jumped at the chance to work in Papua New Guinea; he planned to conduct a multi-site study on child development in such cultures, and relished the opportunity to live in a “primitive” environment himself. He did all this so he could rape kids. Oh, he did it for the scientific curiosity and love of medicine, but he also did it so he could rape kids. Gajdusek was a pedophile in the actual-lifelong-exclusive-paraphilia sense, as opposed to the “metonym for child molester” sense. Some people who roll snake-eyes on the Sexuality Dice repress it, but some are perfectly happy to act on it; Gajdusek was #2 in its fullest form, the kind of guy who believes that a well-lived life includes raping some kids. DTM doesn’t shy from this, not for a moment. It’s the first thing he tells you about Gajdusek. It couldn’t not be; you couldn’t talk about why he went to PNG otherwise. When Gajdusek landed in PNG, he first found the place too civilized. He’d been promised a land of “cannibal savages” – where were they? After some traipsing, he found them, right where he was promised. The Fore were perfect for Gajdusek. They had some kind of medical mystery that’d been lost on everyone else. They ate each other, in exactly the way he loved detailing in his diaries (“”Women and children, particularly, partake of the human flesh,” he noted with pleasure”). As kuru cases popped up, he aggressively recorded them. He wrote lovingly detailed notes that he sent back to his Australian advisor. He wrote with intensity, with exclamation marks, with the joie de vivre of a man just where he wanted to be. Gajdusek smothered the Fore with ‘cures’ that never worked, but they didn’t get angry at him. As DTM dryly puts it: “Their children trusted him, and that was enough for them.” At some point, someone suggested sending an anthropologist...or an epidemiologist...or literally anyone with more credentials than Gajdusek and Zigas3. Gajdusek threw a shitfit, convinced this one-and-a-half-man team was enough to Solve The Problem Forever. But he got bored eventually – running off with another tribe with, as his diary notes at length, an apparent custom of youths ritually fellating older men – and Zigas, I dunno, the book neglects him a bit here. So they managed to sneak in some anthropologists. The husband-and-wife team of Robert Glasse and Shirley Lindenbaum4 were the first involved parties to give a shit about the Fore as people, rather than as colonial subjects/medical mysteries/walking sex toys. What they uncovered was fascinating. The Fore were cannibals, yes, but they were recent cannibals. They didn’t have an ancient tradition of eating their dead, like the other visitors assumed. They happened to be in contact with some cannibal groups, and after a Fore man died of “sorcery”, they thought: well, what would happen if we ate him? “People tasting it expressed their approval. ‘”This is sweet,” they said, “What is the matter with us, are we mad? Here is good food and we have neglected to eat it.”” If not for the wild coincidence that the first Fore cannibalism victim had a prion disease, kuru would never have existed. Glasse and Lindenbaum started to put together the pieces. They’d been sent down to rule out a genetic explanation – to track the kinship ties of the Fore and see how the disease ran through families. It didn’t run through families in any coherent sense, but it sure did run through cannibalism. The clincher was the age distribution. The Fore, ever enthused by colonialism, quit eating each other as soon as the Australians arrived. Children stopped dying of kuru shortly after; they simply weren’t exposed to the infectious agent. The couple sent the news to Gajdusek, who was off raping kids somewhere else. In the next part of the book, DTM runs through Gajdusek’s many conjectures of kuru’s cause – more like sketches or abstract paintings than like true hypotheses. Gajdusek was annoyed that someone else was doing something he “totally could’ve done”, and even more annoyed that another lab was running similar experiments – an attempt at a vaccine for a particular sheep disease had accidentally created a prion generator. But he was happy to swoop in and claim the credit for what he was starting to think of as “slow viruses”, an infection that somehow lays dormant for years. DTM portrays Gajdusek perfectly, in that “real life has no need for verisimilitude” way. Gajdusek was at once a brilliant man, an all-consuming narcissist, an entertaining character, and a monster beyond redemption. A lesser book might pick one or two. The Family That Couldn’t Sleep portrays him as all four, and on a personality level (as opposed to a scientific one), the Gajdusek-focused parts are some of the most gripping. --------------------------------------------------------- Outside of the jumps between the Venetian family and everything else, The Family That Couldn’t Sleep is not siloed. The narratives of all prion diseases are deeply intertwined. This is what makes it a great book. It’s 300 pages of dramatic irony. You read the whole thing, waiting for the eureka moment – the point everyone realizes they’re looking at the same cause. It does, however, make it a tad difficult to review or synopsize. The book’s story is so weird – and, often, so at odds with conventional wisdom that trickles down about the Fore et al – that you have to recap quite a bit, and the book steadfastly resists recapping. The next couple chapters after we depart from Gajdusek’s credit-claiming are mostly about experiments with various prion diseases. They’re scientifically fascinating. Unlike some medical-books-for-general-audiences (cough, How Not to Study a Disease), DTM never talks down to the reader. He assumes someone reading a 300-page book about prions is smart and wants to learn about prions. He also has – you can feel it in his words – the agonizing experience of spending his life on the other side of the doctor’s desk, trying to beat into whoever he’s talking to that no, seriously, you don’t need to lie to him or try explain a complex disease at a fourth-grade level. The first prion disease studied was scrapie. Scrapie was a big deal – it starved and killed large shares of British sheep flocks, making it a serious economic problem. Veterinary researchers had tried to prevent or cure it for centuries. It was a veritable graveyard of ambitions: Quintessential was D. R. Wilson at the Moredun Institute in Scotland, who worked in the middle of the last century for more than a decade trying, with mounting frustration, to kill the scrapie agent. He found that it survived desiccation; dosing with chloroform, phenol, and formalin; ultraviolet light; and cooking at 100 degrees centigrade for thirty minutes. The scrapie researcher Alan Dickinson told me he remembered Wilson at the end of his career as “very, very, very quiet. Of course, that was after his breakdown.” “Now it is our turn to study prions. Perhaps we should approach the subject cautiously.” The problem, as DTM explains, is that prion diseases were impossible. They violated 20th-century understandings of biology. Proteins “were no more alive, and no more infectious, than bone”. Prion diseases seemed to have too many causes – genetic, infectious, and sporadic. They looked infection-like in some ways, but patients didn’t produce virus antibodies. Sheep exposed to scrapie, or chimps infected with kuru, took years to develop symptoms. Their facts did not fit together. In the 1960s, people started wondering. The unifying trait of prion agents was that they had to be denatured to be destroyed. Was this a particularly small virus defined by its protein coating? Or – even more outre – was it pure protein, no DNA at all? No one could figure out quite how the latter worked, but it was tempting. Gajdusek, by now a major figure in this field, kept a foot in both worlds. He didn’t want to stake his reputation on a no-DNA hypothesis, but he certainly sympathized. Enter Prusiner. Stanley Prusiner was Gajdusek’s counterpart. Where Gajdusek seemed permanently manic, Prusiner was deliberate and exacting. He entered Gajdusek’s “slow viruses” field in the early 1970s after a chance encounter with a CJD patient. He relished the laboratory in a way Gajdusek didn’t at all, and set out to optimize the hell out of his projects. Prusiner set out to isolate the smallest infectious particle in the scrapie agent. He injected tons of hamsters (hamsters got sick faster than mice) with increasingly tiny scrapie proteins, hoping to determine whether the Minimum Viable Scrapie was DNA. By the mid-1980s, he’d produced something so small it couldn’t possibly be a virus. Denaturing it destroyed it; exposing it to nucleic acid dissolvers actually made it stronger. Emboldened by this discovery, Prusiner set out to anoint himself the King of Prions. Here emerges something of a Voldemort-Umbridge distinction – the difference between cartoonish villainy and banal evil. Gajdusek is a bad guy because he rapes kids. Prusiner is a bad guy because he is the most grotesque stereotype of the Advisor/Peer Reviewer from Hell made flesh. Everything Prusiner did was to build his reputation atop a pile of skulls. When recruited as a peer reviewer for other prion papers, he wrote negative reviews to undermine their authors. He worked his grad students to the bone and intentionally destroyed their careers, telling them he’d “ruin them” if they entered prion research as competitors. He lied about the origin of the protein-only hypothesis, claiming he originated it a decade after it was actually conjectured. But hey, he was good at getting grants. I was surprised reading a lot of this, because for all the time I’ve been aware of it, the cause of prion disease has seemed settled. “Oh yeah, it’s a protein that gets all fucked up.” But DTM goes through just how unsettled it was right up through to The Family That Couldn’t Sleep’s publication. Serious confirmation only arrived a couple years later. Many people were deeply critical of the prion hypothesis – often, it seemed, because they loathed Prusiner too much to go along. Throughout the book, he cuts an uncharismatic figure. Gajdusek and Prusiner both won the Nobel for discovering prions, decades apart. This tells you something – the “discovery” of prions can be construed quite a few ways. Gajdusek formulated the hypothesis; Prusiner proved it. Gajdusek was grievously offended by Prusiner’s Nobel, perceiving his rival – not inaccurately – as a follower who never originated any ideas of his own. But Gajdusek was offended from a federal prison cell, so how’d that work out for him? Fascinating as all this is, no one published a book about prions in the mid-2000s because it was about kuru or FFI. They published books about prions because teenagers were dying, and people wanted to know why. DTM lays the seeds for part 3 – the mad cow section – in part 1. This is a discussion of scrapie, the longstanding prion disease of sheep. Scrapie was a medical mystery for centuries (remember poor D. R. Wilson), precisely because of the intuitive implausibility of prions. The scrapie chapter is a great history-of-science piece, covering the agricultural productivity revolutions of the 18th century, the surfeit of bizarre origins veterinarians concocted, and the treatments that never worked. Scrapie is not transmissible to humans – well, we hope. It’s concerningly transmissible to primates. But it’s been around for a long, long time, and it doesn’t epidemiologically look like humans get it...we hope. Anyway, you ever tried to generalize from one example? The British government did! In the mid-1980s, strange reports started coming out of the UK’s farms. Farmers were describing a new disease where dairy cows – incredibly docile creatures, under normal circumstances – turned hostile, kicking them as they went into the milking stalls. The symptoms looked to all the world like scrapie. Epidemiologists tracing the outbreaks found a unifying link with “cake” – animal protein feed sweetened with molasses. The scrapie-like symptoms must have traced to an infected sheep. But scrapie doesn’t transmit to humans, so it must be okay to keep slaughtering them, right? We all know how this ended. The best term for the British response to the mad cow outbreak is “cacklingly evil conspiracy”. The agricultural industry really, really didn’t need a huge zoonotic outbreak – so it decided it didn’t have one. They first suppressed all mentions that the disease looked like scrapie, then – when this became impossible – hyped up that scrapie doesn’t transmit to humans, so there’s nothing to worry about. The formal name of the disease, “bovine spongiform encephalopathy”, was supposedly chosen to optimize for unfamiliarity – it wouldn’t fit well in a headline. They emphasized, extensively, that there was nothing to worry about. Ever. At some point, people started asking questions. If there was nothing to worry about, why was the agricultural industry panicking so hard? As things became ever more worry-inducing, this turned down ludicrously twisting paths: Meanwhile, the Southwood Working Party and the experts who advised it were learning on the job. They learned, for instance, that the BSE agent entered the animal through the mouth and then followed the digestive tract into the organs that try to filter out infections—the tonsils, the guts, and the spleen—and from there traveled into the peripheral and central nervous system, and finally arrived at the brain. They also learned that pasties, meat pies, and even some baby foods contained tissues from a lot of those organs. So the Southwood Working Party recommended banning these organs, but only from baby food. This started a chain reaction of consumer doubt: if infected cow organs were unsafe for babies, how could they be good for adults? The government then banned offal, as the organs were collectively called, in all human food but gave the industry a grace period to get it out of the feed supply. Then pet food manufacturers began to wonder if what drove cows mad might not also drive dogs, cats, and parrots mad. The feed they sold came from concentrate made of the same sick animals that had previously made up the meat and bone meal farmers used. Their trade group decided to put a similar ban in place—immediately. So for five months it was safer to be a dog than a human in Britain. DTM spends pretty much this whole section of the book making fun of the British government. To be fair, they deserved it. They killed hundreds of kids in agonizing and preventable ways – they could take some ribbing. This is all throughout the mid-1980s to early-mid 1990s. Through this period, it wasn’t yet clear that mad cow could spread to humans. The panic was clear, and deserved, but it didn’t yet have a match for its powder keg. It would alight. The first suspected case of vCJD – human mad cow – was in 1994. Fifteen-year-old Vicky Rimmer developed a sudden, strange disease. Doctors gave her months to live...until she died in 1998. A couple other suspected cases trickled down through the mid-90s, including a young man who made meat pies for a living, whose grieving mother received a letter from the Prime Minister that “humans do NOT get mad cow disease”. (That must’ve been fun.) Soon, they couldn’t deny it any longer. On March 20, 1996, Stephen Dorrell, the health secretary, stood up in Parliament to announce the news that had already appeared as a tentative conclusion in scientific journals and as rumor in newspapers for the previous two years: British beef was killing British teenagers. The first confirmed death was that of Stephen Churchill, a nineteen-year-old student from Wiltshire, who died in May 1995. Back in 1989, at the Southwood Working Party’s suggestion, the government had set up a surveillance unit in Edinburgh to watch for any evidence that BSE had crossed to humans. One worry had been that if BSE passed to humans, how would anyone know it? How would you recognize something you had never seen? It turned out to be easy: Churchill and the nine other teenagers who had gotten sick had spectacular amyloid plaques in their brains, chunks of dead protein almost visible to the naked eye. If sporadic CJD was a whisper, BSE-caused prion disease was a shout. The investigators sat open-mouthed looking at slides whose damage, they feared, portended the most severe epidemic in modern British history. This part of the book is not fun. It lacks the insane personalities and duelling careers of the other entries. It is an honest chronology of the vCJD epidemic – a gruesome failure of the agricultural industry, the one system that everyone is vulnerable to. The government and industry had completely violated their duty of care to citizens and consumers. They were paying the price. No one would buy British beef anymore – not while they watched their children die. Now here’s the thing: this is ethnography, not historiography. The Family That Couldn’t Sleep is a book from the mid-2000s. The epidemic was not at all in the rear view mirror. There were piles of unanswered questions that DTM constantly alludes to. We have eighteen years more hindsight than he did then. What do we know now? --------------------------------------------------------- In 2006, the vCJD epidemic looked like it was going to be a lot better than the worst fears. BSE itself was a huge problem for the cattle industry, but honestly, no one is too sympathetic to the cattle industry. People were not going to die in anywhere near the numbers believed. We had all sorts of reassuring data coming out about this, which DTM chronicles. We were learning that only some genotypes seemed susceptible to vCJD. We didn’t see any older people die of the disease. We were seeing numbers drop, such that vCJD must have a pretty short incubation period. Anyway, all of this is wrong! The Family That Couldn’t Sleep was written in the candidate gene era. Back then, the nascent field of human genetics was sure it was about to Solve Polygenism. Yes, the simple Mendelian monogenic patterns popular a few decades back clearly didn’t apply to common diseases, but how many variants could there be? We were about to discover the five genes influencing 20% of Alzheimer’s risk each, the five genes influencing 20% of heart disease risk each, etc., and once we were done we’d just do gene therapy and cure Alzheimer’s. A paper on autism genetics from 1999 was so outre as to speculate there might be as many as fifteen genes involved. The fact we are now using the term “omnigenic model” should tell you roughly how well this worked out. Do you remember SNPedia? If you were a 2014 Slate Star Codex reader, you might. 2014 was still pretty candidate gene. People were out there publishing papers saying a single variant could increase your life expectancy by 15 years. SNPedia was a site that beautifully categorized all of these, so you could do 23andme or whatever, look up your results on SNPedia, and make horrible life choices.5 It was eventually bought out by one of the consumer DNA companies, so no one ever edited it again, making it a great time capsule of early-mid 2010s behavioural/medical genetics takes. SNPedia will excitedly explain to you that common genetic variants make you immune to vCJD. They cite a 2009 post from the now-archived 23andme blog titled “No Good Evidence That Potential Pool of Mad Cow Disease Victims Is Expanding”, explaining how fears of late-onset vCJD are clearly debunked by new Scientific Knowledge. Everyone who developed vCJD in the 1990s and 2000s had an M/M genotype in a particular part of the PRNP prion gene, so the roughly half the population with M/V or V/V genotypes were immune. The Family That Couldn’t Sleep buys this, too. In fact, it buys it in an even more agonizingly 2000s way. The first sign that transmissible prion diseases weren’t genotype-restricted should’ve been the growth hormone kids. You might have heard this story – from the late 1950s through mid-1980s, human growth hormone produced from brain tissue was used as a treatment for pituitary dwarfism, until it turned out to spread CJD if the originating brain was infected. DTM discusses this, to set the scene for the genetics thing. He mentions what was the state of the art at the time – that a disproportionate share of both the growth hormone kids and sporadic CJD cases were V/V homozygotes. This, uh – so the book was written in the mid-2000s, yeah? Yeah. The conclusion DTM drew – and this was a common conclusion at the time – was that homozygosity somehow made you more vulnerable to CJD, and M/M homozygosity made you vulnerable to BSE-borne CJD in particular. We cannot criticise the author for not predicting the future, but we live in the future, and can say how this worked out. Turns out, nope, M/V heterozygotes totally get vCJD. After a British man in his 30s died of CJD in 2016, he was found to have vCJD and an M/V genotype. He was tested for vCJD only because he was exceptionally young for someone with a sporadic prion disease – meaning people developing it later in life would be missed6. Did you know up to 1 in 2000 people in the UK have latent vCJD? There is one line in The Family That Couldn’t Sleep that stopped me dead in my tracks when I read it: What happens to the Italian family in the end depends less on their own actions than on the world’s interest in prion diseases, which they cannot control. If lots of people are afraid of getting variant CJD, the family benefits. If fear of prion disease goes the way of the fear of swine flu or Ebola, then they will be orphaned again. THIS BOOK IS FROM 2006! Three years before the swine flu pandemic! Eight years before the Ebola pandemic! “If you’re looking for a sign, this is it.” --------------------------------------------------------- The last section of The Family That Couldn’t Sleep addresses BSE fears in America and a nascent internet subculture DTM calls “Creutzfeldt Jakobins” – people who track American CJD cases, trying to spot vCJD patterns. When reading his description of the Creutzfeldt Jakobins, my mind constantly, uncontrollably turned to covid. Here it was – an online community of people deeply skeptical about a disease’s official story, tracking every contradiction, every implausibility, every statistic that failed to apply to the individual. Self-described “redneck hippies” and “soccer mom Republicans” teaming up to find the truth hidden behind an impossible world. You know what they’re doing now. I’ve always combined a deep interest in medicine with a healthy distrust for it. People who are constitutionally inquisitive, anti-authoritarian, and suspicious about official narratives tend to end up skeptical of at least some mainstream claims in the field. This is not to say I think you should take bleach enemas or something, just that I understand the impulse behind concluding the US government was covering up a local vCJD wave. Traditionally, sporadic prion diseases are said to have a prevalence of one in a million. (Hold on to that for a second.) The last section of the book is a chronology of Americans finding bizarrely more than one in a million of their friends dying of sporadic CJD, often at inexplicably young ages, sometimes in geographical clusters. This is understandably suspicious. Then DTM goes on to reassure us by saying none of these cases were confirmed to have an M/M genotype, which OH GOD OH FUCK A number of high-profile people in the prion world, including Gajdusek, are clarified as not believing sporadic prion diseases exist. You get the impression DTM doesn’t, either. Now, how common are prion diseases? Eric Vallabh Minikel has an answer for you! Eric and his wife Sonia are prion researchers from a rather unique background – after Sonia was diagnosed as having a single-gene mutation with ~100% penetrance for prion disease, they left their previous jobs to dedicate their lives to curing it. It turns out, when you run the numbers, you get not one in a million but 1 in 5000 people dying of prion diseases. This is best described as “nightmarishly high”. I’m normed on genetic disorders. A genetic disorder that affects one in five thousand people is pretty common! I have known, in person, completely unselected, just from “random people I’ve met in my life in a non-medical context”, someone with a ~1/250k syndrome and someone with a ~1/50k-100k syndrome. I don’t think anyone in my extended family knows someone who died of a prion disease. I feel like it would’ve come up if they did! Prion diseases have distinctive phenotypes. Not distinctive enough, apparently, to avoid a lot of CJD being misdiagnosed as Alzheimer’s – but diagnosis is consistently insane. Something DTM reiterates throughout The Family That Couldn’t Sleep is just what prion dementia looks like. The characteristic dementia in prion diseases spares something – “self” or “recognition” or “reflection” – that is not spared by Alzheimer’s, or by most common dementias. Shouldn’t this be, uh, noticeable?7 They kill rapidly, often over the course of months, and often onset in midlife. ALS shares this pattern and is way, way more common than prion diseases; you hear about ALS far more in the “disorder people actually have” sense. What am I missing here? Anyway: 1 in 2000 prevalence of latent vCJD in the UK + extreme lack of clarity over whether scrapie is human-transmissible + blood donations spread vCJD + sporadic CJD prevalence keeps going up = ??? (Yes, I am annoyed that most countries have lifted their ban on UK blood donors, thank you for asking!) --------------------------------------------------------- But back to the book. The “American chapter” is one-third about the country’s response to vCJD, one-third about the Creutzfeldt Jakobins, and one-third about chronic wasting disease. The last part is the most interesting. Chronic wasting disease is a prion disease of deer. Like scrapie, it “probably, we hope” isn’t human-transmissible (eat venison at your own risk). Under natural circumstances, deer shouldn’t get prion diseases: A prion plague should not be possible among ruminants in the wild. Deer are not cannibals, as the cows that spread BSE were forced to be; and, because deer and elk are not domesticated, they do not have enough contact with one another to spread a prion infection the way sheep are thought to spread scrapie. But deer do not live as they used to live, humans having once again brought their ambitions to bear on the natural course of things. The Family That Couldn’t Sleep is a book of medical anthropology. Anthropology of the Veneto, anthropology of Papua New Guinea, anthropology of 1990s Britain. Here, it is an anthropology of America. Americans, having won the world, still fight to win their own backyard. The North American continent is geographically diverse, cutting through rain-snow-shine, mountains jutting over plains, cities sprawling into wilderness, habitations criss-cross dotted with surprisingly few empty zones. Go somewhere like Denver, the Mile High City, three million people fighting against nature. Few other countries have anything like this; geographically vast polities usually have uninhabitable blocks. Australians are twenty-five million people clustered against the shore. It still surprises me, after all this time, how every US state has a meaningful city8. Midcentury Denver, growing and sprawling out across its mountains, started to run into their natural inhabitants – deer. Starvation is one way nature adjusts the deer population to the available food supply. People did not usually see this process, but in the 1950s and 1960s Colorado became more densely settled, reducing forested areas and forcing deer to look longer and harder for food. At the same time, the state enacted conservation laws, limiting when and where hunters could shoot. Soon emaciated deer began wandering onto the lawns and through suburban streets looking for a meal. People began to feed them, only to find that they died anyway. They would drop dead by haystacks, along highways, and in flower beds. In the late 1960s, a young biologist named Gene Schoonveld tried to figure out why the deer starved even when they were fed.9 He deprived some deer of food for a while, “[h]e cut windows in their stomachs to see what went on inside, and then he began to feed them”. While this was going on, he had a control group of healthy, well-fed deer as backups in case anything went wrong. It did...but not to the experimental group. The pen in which the deer were kept also housed sheep, which, it turned out, were scrapie carriers. The deer somehow acquired scrapie – there’s a huge unanswered question here, which DTM doesn’t address. How did they get scrapie? They didn’t eat the sheep, presumably. Did it somehow transmit from casual contact? This is not supposed to happen. And yet: the deer in the sheep pen started dying of a mysterious scrapie-like disease, one never reported before, that would go on to infect thousands. These deer were released into the wild. Ten years later, the first reports of chronic wasting disease came out. The disease spread across deer and elk in the western half of the country. By the turn of the millennium, cases were exploding – and lost all geographical restriction. DTM can report up to 2005, at which point it was floating around Upstate New York. This kind of spread doesn’t track natural deer migration. That’s irrelevant, because nothing about CWD’s spread is natural. We shift gears into an anthropology of the American hunter. The hunter wants to shoot the most impressive buck, to bag himself one with as many “points” as possible – one whose antlers branch out most. A “ten-point buck” has five branches on each horn: Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
The Family That Couldn’t Sleep by D. T. Max was published in late 2006. This glues it to a very particular era. A spectre was haunting Europe – the spectre of mad cow disease. Something was tearing through Britain’s cows, turning them inside out, eating their brains and thrashing their souls. It had been doing so since, DTM thinks, “the late 1970s”. When we look back in retrospect and think about a timeline like this, knowing everything we know, you can’t help but feel a shiver down your spine.
By 2006, some few hundred people had developed variant Creutzfeldt-Jakob disease, colloquially “mad cow disease”. They were almost all young adults in the United Kingdom. The disease was a nightmare – healthy young people succumbing to a terrifying dementia, caused by naught but a beef dinner they had enjoyed years ago. Few diseases were more horrific. Even the worst neurodegenerative disorders rarely struck people so young. The fact it was caused by – and covered up by – the cattle industry made it all the worse.
BSE-borne CJD

BSE-borne CJD is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 12, 2024 and July 12, 2024. The archive places it in contexts such as "M/M homozygosity made you vulnerable to BSE-borne CJD in particular". It most often appears alongside 1980s, 1989, 1990s.

Reference entry
BSE-borne CJD
Mention count
1
Issue count
1
First seen
July 12, 2024
Last seen
July 12, 2024
July 12, 2024 · Original source
Yeah. The conclusion DTM drew – and this was a common conclusion at the time – was that homozygosity somehow made you more vulnerable to CJD, and M/M homozygosity made you vulnerable to BSE-borne CJD in particular. We cannot criticise the author for not predicting the future, but we live in the future, and can say how this worked out. Turns out, nope, M/V heterozygotes totally get vCJD. After a British man in his 30s died of CJD in 2016, he was found to have vCJD and an M/V genotype. He was tested for vCJD only because he was exceptionally young for someone with a sporadic prion disease – meaning people developing it later in life would be missed6. Did you know up to 1 in 2000 people in the UK have latent vCJD? There is one line in The Family That Couldn’t Sleep that stopped me dead in my tracks when I read it: What happens to the Italian family in the end depends less on their own actions than on the world’s interest in prion diseases, which they cannot control. If lots of people are afraid of getting variant CJD, the family benefits. If fear of prion disease goes the way of the fear of swine flu or Ebola, then they will be orphaned again. THIS BOOK IS FROM 2006! Three years before the swine flu pandemic! Eight years before the Ebola pandemic! “If you’re looking for a sign, this is it.” --------------------------------------------------------- The last section of The Family That Couldn’t Sleep addresses BSE fears in America and a nascent internet subculture DTM calls “Creutzfeldt Jakobins” – people who track American CJD cases, trying to spot vCJD patterns. When reading his description of the Creutzfeldt Jakobins, my mind constantly, uncontrollably turned to covid. Here it was – an online community of people deeply skeptical about a disease’s official story, tracking every contradiction, every implausibility, every statistic that failed to apply to the individual. Self-described “redneck hippies” and “soccer mom Republicans” teaming up to find the truth hidden behind an impossible world. You know what they’re doing now. I’ve always combined a deep interest in medicine with a healthy distrust for it. People who are constitutionally inquisitive, anti-authoritarian, and suspicious about official narratives tend to end up skeptical of at least some mainstream claims in the field. This is not to say I think you should take bleach enemas or something, just that I understand the impulse behind concluding the US government was covering up a local vCJD wave. Traditionally, sporadic prion diseases are said to have a prevalence of one in a million. (Hold on to that for a second.) The last section of the book is a chronology of Americans finding bizarrely more than one in a million of their friends dying of sporadic CJD, often at inexplicably young ages, sometimes in geographical clusters. This is understandably suspicious. Then DTM goes on to reassure us by saying none of these cases were confirmed to have an M/M genotype, which OH GOD OH FUCK A number of high-profile people in the prion world, including Gajdusek, are clarified as not believing sporadic prion diseases exist. You get the impression DTM doesn’t, either. Now, how common are prion diseases? Eric Vallabh Minikel has an answer for you! Eric and his wife Sonia are prion researchers from a rather unique background – after Sonia was diagnosed as having a single-gene mutation with ~100% penetrance for prion disease, they left their previous jobs to dedicate their lives to curing it. It turns out, when you run the numbers, you get not one in a million but 1 in 5000 people dying of prion diseases. This is best described as “nightmarishly high”. I’m normed on genetic disorders. A genetic disorder that affects one in five thousand people is pretty common! I have known, in person, completely unselected, just from “random people I’ve met in my life in a non-medical context”, someone with a ~1/250k syndrome and someone with a ~1/50k-100k syndrome. I don’t think anyone in my extended family knows someone who died of a prion disease. I feel like it would’ve come up if they did! Prion diseases have distinctive phenotypes. Not distinctive enough, apparently, to avoid a lot of CJD being misdiagnosed as Alzheimer’s – but diagnosis is consistently insane. Something DTM reiterates throughout The Family That Couldn’t Sleep is just what prion dementia looks like. The characteristic dementia in prion diseases spares something – “self” or “recognition” or “reflection” – that is not spared by Alzheimer’s, or by most common dementias. Shouldn’t this be, uh, noticeable?7 They kill rapidly, often over the course of months, and often onset in midlife. ALS shares this pattern and is way, way more common than prion diseases; you hear about ALS far more in the “disorder people actually have” sense. What am I missing here? Anyway: 1 in 2000 prevalence of latent vCJD in the UK + extreme lack of clarity over whether scrapie is human-transmissible + blood donations spread vCJD + sporadic CJD prevalence keeps going up = ??? (Yes, I am annoyed that most countries have lifted their ban on UK blood donors, thank you for asking!) --------------------------------------------------------- But back to the book. The “American chapter” is one-third about the country’s response to vCJD, one-third about the Creutzfeldt Jakobins, and one-third about chronic wasting disease. The last part is the most interesting. Chronic wasting disease is a prion disease of deer. Like scrapie, it “probably, we hope” isn’t human-transmissible (eat venison at your own risk). Under natural circumstances, deer shouldn’t get prion diseases: A prion plague should not be possible among ruminants in the wild. Deer are not cannibals, as the cows that spread BSE were forced to be; and, because deer and elk are not domesticated, they do not have enough contact with one another to spread a prion infection the way sheep are thought to spread scrapie. But deer do not live as they used to live, humans having once again brought their ambitions to bear on the natural course of things. The Family That Couldn’t Sleep is a book of medical anthropology. Anthropology of the Veneto, anthropology of Papua New Guinea, anthropology of 1990s Britain. Here, it is an anthropology of America. Americans, having won the world, still fight to win their own backyard. The North American continent is geographically diverse, cutting through rain-snow-shine, mountains jutting over plains, cities sprawling into wilderness, habitations criss-cross dotted with surprisingly few empty zones. Go somewhere like Denver, the Mile High City, three million people fighting against nature. Few other countries have anything like this; geographically vast polities usually have uninhabitable blocks. Australians are twenty-five million people clustered against the shore. It still surprises me, after all this time, how every US state has a meaningful city8. Midcentury Denver, growing and sprawling out across its mountains, started to run into their natural inhabitants – deer. Starvation is one way nature adjusts the deer population to the available food supply. People did not usually see this process, but in the 1950s and 1960s Colorado became more densely settled, reducing forested areas and forcing deer to look longer and harder for food. At the same time, the state enacted conservation laws, limiting when and where hunters could shoot. Soon emaciated deer began wandering onto the lawns and through suburban streets looking for a meal. People began to feed them, only to find that they died anyway. They would drop dead by haystacks, along highways, and in flower beds. In the late 1960s, a young biologist named Gene Schoonveld tried to figure out why the deer starved even when they were fed.9 He deprived some deer of food for a while, “[h]e cut windows in their stomachs to see what went on inside, and then he began to feed them”. While this was going on, he had a control group of healthy, well-fed deer as backups in case anything went wrong. It did...but not to the experimental group. The pen in which the deer were kept also housed sheep, which, it turned out, were scrapie carriers. The deer somehow acquired scrapie – there’s a huge unanswered question here, which DTM doesn’t address. How did they get scrapie? They didn’t eat the sheep, presumably. Did it somehow transmit from casual contact? This is not supposed to happen. And yet: the deer in the sheep pen started dying of a mysterious scrapie-like disease, one never reported before, that would go on to infect thousands. These deer were released into the wild. Ten years later, the first reports of chronic wasting disease came out. The disease spread across deer and elk in the western half of the country. By the turn of the millennium, cases were exploding – and lost all geographical restriction. DTM can report up to 2005, at which point it was floating around Upstate New York. This kind of spread doesn’t track natural deer migration. That’s irrelevant, because nothing about CWD’s spread is natural. We shift gears into an anthropology of the American hunter. The hunter wants to shoot the most impressive buck, to bag himself one with as many “points” as possible – one whose antlers branch out most. A “ten-point buck” has five branches on each horn: Original by Ric McArthur Nature doesn’t make enough bucks with perfectly symmetrical ten-point horns. To fill the demand, the market had to step in. Thus was born the deer farm industry, which raises captive deer in better genetic and nutritional conditions than Nature permits, then ships them across the country so hunters who couldn’t get legit ten-point bucks get the taxidermy piece for their wall. These are controversial amongst hunters and illegal in numerous states – but the industry is big enough to spread CWD. (The kind of hunter who needs a deer shipped to his house is the kind of hunter who will fumble killing it.) Another problem is supplemental feeding – leaving out protein-enriched food for deer to eat. This produces “trophy class animals at an earlier age”, but again, what’s in that protein? (“It is much like feeding your cows 41 percent protein cottonseed cake during the winter to raise the protein level in the cow’s diet to a level that will maintain acceptable production”, says that article from 1991.)10 The book segues into a vignette. CWD was new in Wisconsin in the early 2000s, and the state’s Department of Natural Resources was optimistic it could eradicate it. In a state with a love of hunting, you could, in theory, recruit people to kill every single deer in a 400-square-mile radius: In many states, the state would have had to call out the National Guard for such an onslaught, but hunting is a passion in Wisconsin. Hunters shoot 450,000 deer every year, more than in any other state. “I’m looking for ardent hunters to help us, unless fear or their wives keep them away,” one DNR official told a Milwaukee magazine. The state extended the normal hunting season and waived the usual limit of one buck per hunter, and the hunters came out in force. The whole affair was gruesome – one official called it “hunting for slob hunters”. If you’re trying to eradicate a prion disease, you can’t very well let people take the carcasses home to eat. Bodies piled up in control stations, decomposition mingling with bleach. The 2002 hunt established a base rate of 2% for chronic wasting disease in Wisconsin deer, with the most affected areas getting up to 10%. Further hunts in 2003, 2004, and 2005 spread to wider and wider areas – and didn’t move the needle one bit. This is to say that CWD is quite a bit more common in the American deer population than BSE ever was in British cattle. Since publication, it’s popped up in Norway and South Korea. Notably, Norway doesn’t allow for the import of cervids, raising numerous questions about how it got there. There are no unambiguous cases of CWD transmission to humans, and in vivo/in vitro primate studies have mixed results. There sure are some unusually young hunters with sporadic CJD, though. But don’t worry, most of them aren’t M/M homozygotes! There is an absolute ton going on in this book. I’ve had to skim over whole sections. Parts that couldn’t be easily slotted into a narrative review include: When Gajdusek was invited to a party at Prusiner’s house, he was horrified to find his rival had purchased hundreds of New Guinean statues – all with the genitals removed.
BSL-2

BSL-2 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "But WIV was irresponsibly doing it in BSL-2, ie medium security". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

Reference entry
BSL-2
Mention count
1
Issue count
1
First seen
March 28, 2024
Last seen
March 28, 2024
March 28, 2024 · Original source
Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
BSL-3

BSL-3 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "research with potentially dangerous coronaviruses is done in BSL-3 or 4". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

Reference entry
BSL-3
Mention count
1
Issue count
1
First seen
March 28, 2024
Last seen
March 28, 2024
March 28, 2024 · Original source
Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
Okay, this one is just awful. It takes the risky gambit above - giving extreme odds to something - then doubles down on it by multiplying across twenty different stages to get a stupendously low probability of 1/5*10^25. If we believe this, it’s more likely that we win the lottery three times in a row than that we learn lab leak was true after all. Eliezer Yudkowsky calls this the Multiple Stage Fallacy. Even aside from the failure mode in the sunrise example above (where people are too reluctant to give strong probabilities), it fails because people don’t think enough about the correlations between stages. For example, maybe there’s only 1/10 odds that the Wuhan scientists would choose the suboptimal RRAR furin cleavage site. And maybe there’s only 1/20 odds that they would add a proline in front to make it PRRAR. But are these really two separate forms of weirdness, such that we can multiply them together and get 1/200? Or are scientists who do one weird thing with a furin cleavage site more likely to do another? Mightn’t they be pursuing some general strategy of testing weird furin cleavage sites? (For example, Yuri proposed that, because the scientists wanted to understand how pandemic coronaviruses originate in nature, they might deliberately pick more natural-looking features over more designed-looking ones, which would neatly explain many features seemingly inconsistent with lab leak. Is this a conspiracy theory? Rootclaim is able to successfully route around this question. If the probability of a feature happening in nature is X, then the probability of it happening in this variant of lab leak scenario is X * [chance that the scientists wanted to imitate nature). This gives it a (deserved) complexity penalty without ruling out this (non-zero and potentially important) possibility.) In any case, Peter didn’t care as much about probabilistic analysis as Saar, he didn’t make his case hinge on this slide, and he might have been kind of using it to troll Rootclaim (which definitely worked). He might not have been making any of the mistakes above. But anyone who took this slide seriously would end up dramatically miscalibrated. The Math: Big Pictures Another of Saar’s concerns with the verdict was that Peter was an extraordinary debater, to the point where it could have overwhelmed the signal from the evidence. It’s hard to watch the videos and not come away impressed. Peter seems to have a photographic memory for every detail of every study he’s ever read. He has some kind of 3D model in his brain of Wuhan, the wet market, and how all of its ventilation ducts and drains interacted with each other. Whenever someone challenged one of his points, he had a ten-slide PowerPoint presentation already made up to address that particular challenge, and would go over it with complete fluency, like he was reciting a memorized speech. I sometimes get accused of overdoing things, but I can’t imagine how many mutations it would take to make me even a fraction as competent as Peter was. Saar’s closing argument included the admission: Peter, I think everyone can agree, has much more knowledge on [COVID] origins than we do. He's invested much more time. He may be a much more talented researcher. He's much more into the details. He probably knows the best in the world on origins at this point. Once you’ve described your opponent that way in your closing argument, what’s left of your case? Saar thought a lot was left. Throughout the debate, he tried to make a point about how getting the inference right was more important than winning sub-sub-sub-debates about individual lines of evidence. Although Peter won most specific points of contention, Saar thought that if the judges could just keep their mind on the big picture, they would realize a lab leak was more likely. I’m potentially sympathetic to arguments like Saar’s. Imagine a debate about UFOs. Imaginary-Saar says “UFOs can’t be real, because it doesn’t make sense for aliens to come to Earth, circle around a few fields in Kansas, then leave without providing any other evidence of their existence.” Imaginary-Peter says “John Smith of Topeka saw a UFO at 4:52 PM on 6/12/2010, and everyone agrees he’s an honorable person who wouldn’t lie, so what’s your explanation of that?” Saar says “I don’t know, maybe he was drunk or something?” Peter says “Ha, I’ve hacked his cell phone records and geolocated him to coordinates XYZ, which is a mosque. My analysis finds that he’s there on 99.5% of Islamic holy days, which proves he’s a very religious Muslim. And religious Muslims don’t drink! Your argument is invalid!” On the one hand, imaginary-Peter is very impressive and sure did shoot down Saar’s point. On the other, imaginary-Saar never really claimed to have a great explanation for this particular UFO sighting, and his argument doesn’t depend on it. Instead of debating whether Smith could or couldn’t have been drunk, we need to zoom out and realize that the aliens explanation makes no sense. The problem was, Saar couldn’t effectively communicate what his big picture was. Neither deployed some kind of amazingly elegant prior. They both used the same kind of evidence. The only difference was that Peter’s evidence hung together, and Saar’s evidence fell apart on cross-examination. I think - not because Saar really explained it, but just reading between the lines - Saar thought the un-ignorable big picture evidence was the origin in a city with a coronavirus gain-of-function lab, and the twelve-nucleotide insertion in the furin cleavage site. To some degree, Peter just ate the loss on those questions. No matter how you slice it, it really is a weird coincidence that the epidemic started so close to Asia’s biggest coronavirus laboratory. Peter tried to deflect this - he pointed out there were other BSL-3 and BSL-4 laboratories in Beijing, Shanghai, Shenzhen, etc. But this was a rare question where he unambiguously came out looking worse - the other cities’ labs had much less coronavirus-specific research. Wuhan really was unique (aside from the other big coronavirus lab in North Carolina). Peter did better when he tried to control the damage: there are a couple hundred million people in the South Asian areas where people eat weird animals exposed to virus-infected bats, Wuhan has a population of about 12 million, so maybe 1.5% of all potential zoonotic pandemics should start in Wuhan. Peter tried to argue that Wuhan was a local trade center, so maybe we should up that to 5 - 10%. 5 - 10% coincidences aren’t that rare. Even 1.5% coincidences happen sometimes. Likewise, the furin cleavage site really does stand on a genetic map. I didn’t feel like either side did much math to quantify how weird it was. Naively, I might think of this as “30,000 bases in COVID, only one insertion, it’s in what’s obviously the most interesting place - sounds like 30,000-to-one odds against”. Against that, a virus with a boring insertion would never have become a pandemic, so maybe you need to multiply this by however much viral evolution is going on in weird caves in Laos, and then you would get the odds that at least one virus would have an insertion interesting enough to go global. Neither participant calculated this in a way that satisfied me (though see here for related discussion). Instead, Peter tried to undermine the furin argument by showing that, as surprising as the site was under a natural origin, it would be an even more surprising choice for human engineers. Saar argued it wasn’t - but because of his policy of giving adjusted-for-model-error odds, he only gave this a factor of 30 in his analysis. Since Peter gave it a higher factor of 50 in his analysis, it looked from the outside like Saar had already conceded this point, and the judges were mostly happy to go with Saar’s artificially-low estimate. The Math: Double Coincidences Saar brought up an interesting point halfway through the debate: you should rarely see high Bayes factors on both sides of an argument. That is, suppose you accept that there’s only a 1-in-10,000 chance that the pandemic starts at a wet market under lab leak. And suppose you accept there’s only a 1-in-10,000 chance that COVID’s furin cleavage site could evolve naturally. If lab leak is true, then you might find 1-in-10,000 evidence for lab leak. But it’s a freak coincidence that there was 1-in-10,000 evidence for zoonosis5. Likewise, if zoonosis is true, you might find 1-in-10,000 evidence for this true thing. But it’s a freak coincidence that there was 1-in-10,000 evidence for lab leak. Either way, you’re accepting that a 1-in-10,000 freak coincidence happened. Isn’t it more likely you’ve bungled your analysis? I was following along at home, and I definitely bungled this point; I had some high Bayes factors on both sides. I adjusted some of them downward based on Saar’s good point, but how far should we take it? Here I remember The Pyramid And The Garden: you can get very strong coincidences if you have many degrees of freedom, ie buy a lot of lottery tickets. So for example, suppose there are fifty things about a virus. You should expect at least one of those to have a one-in-fifty coincidence by pure chance. What about more than that? You might be able to get away with this by saying there are an infinite number of possible conspiracy theories, and some from that infinite set are brought into existence when a strong enough coincidence makes them plausible. For example, it’s really weird that John Adams and Thomas Jefferson both died on the 50th anniversary of the Declaration of Independence. If I wanted, I could form a conspiracy theory about a group of weird assassins obsessed with killing Founding Fathers on important dates, and then Jefferson and Adams’ deaths would be 1/10,000 evidence for that theory. But this is the Texas Sharpshooter Fallacy, which Saar warned against several times. I don’t know if “the virus started in Wuhan, which is where they’re doing this research” gets a Texas Sharpshooter penalty, or how high that penalty should be. But the furin cleavage site doesn’t - people were talking about lab leak before anyone noticed it. The Aftermath: Peter Peter seemed satisfied with the result, in an understated sort of way: It seemed like an interesting experiment in monetizing the debunking of a conspiracy theory. I think there's usually a big asymmetry where it's easy to get rich spreading bullshit (like, the top anti-vaxxers during the pandemic all made a million dollars a year on substack), but it's almost impossible to make money on debunking it. The Rootclaim challenge seemed like one rare case where the opposite was true. Beyond that, I don't know what it's good for. It does seem like there could be a positive social impact from more people understanding that the lab leak hypothesis is (almost certainly) false. The Aftermath: Saar Saar says the debate didn’t change his mind. In fact, by the end of the debate, Rootclaim released an updated analysis that placed an even higher probability on lab leak than when they started. In his blog post, he discussed the issues above, and said the judges had erred in not considering them. He respects the judges, he appreciates their efforts, he just thinks they got it wrong. Although he respected their decision, he wanted the judges to correct what he saw as mistakes in their published statements, which delayed the public verdict and which which Viewers Like You did not appreciate: I ran an early draft of this post by him. There was some miscommunication about the exact publication date, so he hasn’t had time to write up a full response, but he has some quick thoughts (and I’ll link the full response when he writes it). He says: We will provide a full response to this post soon, but the main problem with it is fairly simple: There is general agreement that the main evidence for zoonosis is HSM (Huanan Seafood Market) forming an early cluster of cases. The contention is whether it is amazing 10,000x evidence, or is it negligible. All other evidence points to a lab leak, and if HSM is shown to be weak, lab leak is a clear winner. We provided an analysis of why it is negligible that is as close to mathematical proof as such things can be. Read it here. Scott and I exchanged a few emails on this issue and Scott preferred to discuss more intuitive analyses of HSM, using rules of thumb that likely served him well in the past. While I believe I managed to mostly explain where these failed, and Scott understands HSM is far weaker evidence than he initially thought6, he still has a very strong intuitive feeling (based on years of dealing with probabilities) that this is some exceptional coincidence, and that prevents him from properly updating his posterior. At the end of the day, this cannot be settled without going through our semi-formal derivation, understanding it, and either identifying the problem with it or accepting it (and thereby accepting lab-leak to be more likely). Here is a quick summary of the mistakes made by those claiming HSM is strong evidence: The first mistake is conflating Bayes factors with conditional probabilities. 1/10000 is the supposed conditional probability p(HSM|Lab Leak), That should be divided by the conditional probability of HSM under Zoonosis. Markets were not identified as a high-risk location prior to this outbreak (This will be elaborated in the full response), and in SARS1 the spillovers were mostly at restaurants and other food handlers that deal more closely with wildlife. While it's cool to point to the raccoon dog photo, that was a result of a retrospective search (we don't know what other photos they took which in retrospect would be brought up as premonition). Unbiased data shows markets are not a likely spillover location for zoonosis. We originally estimated p(HSM|Zoonosis)<0.1. Following more research we did to answer Scott's questions, this is more likely <0.03.
BSL-4

BSL-4 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 28, 2024 and March 28, 2024. The archive places it in contexts such as "research with potentially dangerous coronaviruses is done in BSL-3 or 4". It most often appears alongside ACX comment thread, ACX subreddit, Asia.

Reference entry
BSL-4
Mention count
1
Issue count
1
First seen
March 28, 2024
Last seen
March 28, 2024
March 28, 2024 · Original source
Okay, this one is just awful. It takes the risky gambit above - giving extreme odds to something - then doubles down on it by multiplying across twenty different stages to get a stupendously low probability of 1/5*10^25. If we believe this, it’s more likely that we win the lottery three times in a row than that we learn lab leak was true after all. Eliezer Yudkowsky calls this the Multiple Stage Fallacy. Even aside from the failure mode in the sunrise example above (where people are too reluctant to give strong probabilities), it fails because people don’t think enough about the correlations between stages. For example, maybe there’s only 1/10 odds that the Wuhan scientists would choose the suboptimal RRAR furin cleavage site. And maybe there’s only 1/20 odds that they would add a proline in front to make it PRRAR. But are these really two separate forms of weirdness, such that we can multiply them together and get 1/200? Or are scientists who do one weird thing with a furin cleavage site more likely to do another? Mightn’t they be pursuing some general strategy of testing weird furin cleavage sites? (For example, Yuri proposed that, because the scientists wanted to understand how pandemic coronaviruses originate in nature, they might deliberately pick more natural-looking features over more designed-looking ones, which would neatly explain many features seemingly inconsistent with lab leak. Is this a conspiracy theory? Rootclaim is able to successfully route around this question. If the probability of a feature happening in nature is X, then the probability of it happening in this variant of lab leak scenario is X * [chance that the scientists wanted to imitate nature). This gives it a (deserved) complexity penalty without ruling out this (non-zero and potentially important) possibility.) In any case, Peter didn’t care as much about probabilistic analysis as Saar, he didn’t make his case hinge on this slide, and he might have been kind of using it to troll Rootclaim (which definitely worked). He might not have been making any of the mistakes above. But anyone who took this slide seriously would end up dramatically miscalibrated. The Math: Big Pictures Another of Saar’s concerns with the verdict was that Peter was an extraordinary debater, to the point where it could have overwhelmed the signal from the evidence. It’s hard to watch the videos and not come away impressed. Peter seems to have a photographic memory for every detail of every study he’s ever read. He has some kind of 3D model in his brain of Wuhan, the wet market, and how all of its ventilation ducts and drains interacted with each other. Whenever someone challenged one of his points, he had a ten-slide PowerPoint presentation already made up to address that particular challenge, and would go over it with complete fluency, like he was reciting a memorized speech. I sometimes get accused of overdoing things, but I can’t imagine how many mutations it would take to make me even a fraction as competent as Peter was. Saar’s closing argument included the admission: Peter, I think everyone can agree, has much more knowledge on [COVID] origins than we do. He's invested much more time. He may be a much more talented researcher. He's much more into the details. He probably knows the best in the world on origins at this point. Once you’ve described your opponent that way in your closing argument, what’s left of your case? Saar thought a lot was left. Throughout the debate, he tried to make a point about how getting the inference right was more important than winning sub-sub-sub-debates about individual lines of evidence. Although Peter won most specific points of contention, Saar thought that if the judges could just keep their mind on the big picture, they would realize a lab leak was more likely. I’m potentially sympathetic to arguments like Saar’s. Imagine a debate about UFOs. Imaginary-Saar says “UFOs can’t be real, because it doesn’t make sense for aliens to come to Earth, circle around a few fields in Kansas, then leave without providing any other evidence of their existence.” Imaginary-Peter says “John Smith of Topeka saw a UFO at 4:52 PM on 6/12/2010, and everyone agrees he’s an honorable person who wouldn’t lie, so what’s your explanation of that?” Saar says “I don’t know, maybe he was drunk or something?” Peter says “Ha, I’ve hacked his cell phone records and geolocated him to coordinates XYZ, which is a mosque. My analysis finds that he’s there on 99.5% of Islamic holy days, which proves he’s a very religious Muslim. And religious Muslims don’t drink! Your argument is invalid!” On the one hand, imaginary-Peter is very impressive and sure did shoot down Saar’s point. On the other, imaginary-Saar never really claimed to have a great explanation for this particular UFO sighting, and his argument doesn’t depend on it. Instead of debating whether Smith could or couldn’t have been drunk, we need to zoom out and realize that the aliens explanation makes no sense. The problem was, Saar couldn’t effectively communicate what his big picture was. Neither deployed some kind of amazingly elegant prior. They both used the same kind of evidence. The only difference was that Peter’s evidence hung together, and Saar’s evidence fell apart on cross-examination. I think - not because Saar really explained it, but just reading between the lines - Saar thought the un-ignorable big picture evidence was the origin in a city with a coronavirus gain-of-function lab, and the twelve-nucleotide insertion in the furin cleavage site. To some degree, Peter just ate the loss on those questions. No matter how you slice it, it really is a weird coincidence that the epidemic started so close to Asia’s biggest coronavirus laboratory. Peter tried to deflect this - he pointed out there were other BSL-3 and BSL-4 laboratories in Beijing, Shanghai, Shenzhen, etc. But this was a rare question where he unambiguously came out looking worse - the other cities’ labs had much less coronavirus-specific research. Wuhan really was unique (aside from the other big coronavirus lab in North Carolina). Peter did better when he tried to control the damage: there are a couple hundred million people in the South Asian areas where people eat weird animals exposed to virus-infected bats, Wuhan has a population of about 12 million, so maybe 1.5% of all potential zoonotic pandemics should start in Wuhan. Peter tried to argue that Wuhan was a local trade center, so maybe we should up that to 5 - 10%. 5 - 10% coincidences aren’t that rare. Even 1.5% coincidences happen sometimes. Likewise, the furin cleavage site really does stand on a genetic map. I didn’t feel like either side did much math to quantify how weird it was. Naively, I might think of this as “30,000 bases in COVID, only one insertion, it’s in what’s obviously the most interesting place - sounds like 30,000-to-one odds against”. Against that, a virus with a boring insertion would never have become a pandemic, so maybe you need to multiply this by however much viral evolution is going on in weird caves in Laos, and then you would get the odds that at least one virus would have an insertion interesting enough to go global. Neither participant calculated this in a way that satisfied me (though see here for related discussion). Instead, Peter tried to undermine the furin argument by showing that, as surprising as the site was under a natural origin, it would be an even more surprising choice for human engineers. Saar argued it wasn’t - but because of his policy of giving adjusted-for-model-error odds, he only gave this a factor of 30 in his analysis. Since Peter gave it a higher factor of 50 in his analysis, it looked from the outside like Saar had already conceded this point, and the judges were mostly happy to go with Saar’s artificially-low estimate. The Math: Double Coincidences Saar brought up an interesting point halfway through the debate: you should rarely see high Bayes factors on both sides of an argument. That is, suppose you accept that there’s only a 1-in-10,000 chance that the pandemic starts at a wet market under lab leak. And suppose you accept there’s only a 1-in-10,000 chance that COVID’s furin cleavage site could evolve naturally. If lab leak is true, then you might find 1-in-10,000 evidence for lab leak. But it’s a freak coincidence that there was 1-in-10,000 evidence for zoonosis5. Likewise, if zoonosis is true, you might find 1-in-10,000 evidence for this true thing. But it’s a freak coincidence that there was 1-in-10,000 evidence for lab leak. Either way, you’re accepting that a 1-in-10,000 freak coincidence happened. Isn’t it more likely you’ve bungled your analysis? I was following along at home, and I definitely bungled this point; I had some high Bayes factors on both sides. I adjusted some of them downward based on Saar’s good point, but how far should we take it? Here I remember The Pyramid And The Garden: you can get very strong coincidences if you have many degrees of freedom, ie buy a lot of lottery tickets. So for example, suppose there are fifty things about a virus. You should expect at least one of those to have a one-in-fifty coincidence by pure chance. What about more than that? You might be able to get away with this by saying there are an infinite number of possible conspiracy theories, and some from that infinite set are brought into existence when a strong enough coincidence makes them plausible. For example, it’s really weird that John Adams and Thomas Jefferson both died on the 50th anniversary of the Declaration of Independence. If I wanted, I could form a conspiracy theory about a group of weird assassins obsessed with killing Founding Fathers on important dates, and then Jefferson and Adams’ deaths would be 1/10,000 evidence for that theory. But this is the Texas Sharpshooter Fallacy, which Saar warned against several times. I don’t know if “the virus started in Wuhan, which is where they’re doing this research” gets a Texas Sharpshooter penalty, or how high that penalty should be. But the furin cleavage site doesn’t - people were talking about lab leak before anyone noticed it. The Aftermath: Peter Peter seemed satisfied with the result, in an understated sort of way: It seemed like an interesting experiment in monetizing the debunking of a conspiracy theory. I think there's usually a big asymmetry where it's easy to get rich spreading bullshit (like, the top anti-vaxxers during the pandemic all made a million dollars a year on substack), but it's almost impossible to make money on debunking it. The Rootclaim challenge seemed like one rare case where the opposite was true. Beyond that, I don't know what it's good for. It does seem like there could be a positive social impact from more people understanding that the lab leak hypothesis is (almost certainly) false. The Aftermath: Saar Saar says the debate didn’t change his mind. In fact, by the end of the debate, Rootclaim released an updated analysis that placed an even higher probability on lab leak than when they started. In his blog post, he discussed the issues above, and said the judges had erred in not considering them. He respects the judges, he appreciates their efforts, he just thinks they got it wrong. Although he respected their decision, he wanted the judges to correct what he saw as mistakes in their published statements, which delayed the public verdict and which which Viewers Like You did not appreciate: I ran an early draft of this post by him. There was some miscommunication about the exact publication date, so he hasn’t had time to write up a full response, but he has some quick thoughts (and I’ll link the full response when he writes it). He says: We will provide a full response to this post soon, but the main problem with it is fairly simple: There is general agreement that the main evidence for zoonosis is HSM (Huanan Seafood Market) forming an early cluster of cases. The contention is whether it is amazing 10,000x evidence, or is it negligible. All other evidence points to a lab leak, and if HSM is shown to be weak, lab leak is a clear winner. We provided an analysis of why it is negligible that is as close to mathematical proof as such things can be. Read it here. Scott and I exchanged a few emails on this issue and Scott preferred to discuss more intuitive analyses of HSM, using rules of thumb that likely served him well in the past. While I believe I managed to mostly explain where these failed, and Scott understands HSM is far weaker evidence than he initially thought6, he still has a very strong intuitive feeling (based on years of dealing with probabilities) that this is some exceptional coincidence, and that prevents him from properly updating his posterior. At the end of the day, this cannot be settled without going through our semi-formal derivation, understanding it, and either identifying the problem with it or accepting it (and thereby accepting lab-leak to be more likely). Here is a quick summary of the mistakes made by those claiming HSM is strong evidence: The first mistake is conflating Bayes factors with conditional probabilities. 1/10000 is the supposed conditional probability p(HSM|Lab Leak), That should be divided by the conditional probability of HSM under Zoonosis. Markets were not identified as a high-risk location prior to this outbreak (This will be elaborated in the full response), and in SARS1 the spillovers were mostly at restaurants and other food handlers that deal more closely with wildlife. While it's cool to point to the raccoon dog photo, that was a result of a retrospective search (we don't know what other photos they took which in retrospect would be brought up as premonition). Unbiased data shows markets are not a likely spillover location for zoonosis. We originally estimated p(HSM|Zoonosis)<0.1. Following more research we did to answer Scott's questions, this is more likely <0.03.
Lineage A (left) was used by the Minoan Cretans, but has never been deciphered. Lineage B (right) was used by the Mycaeneans for lists of palace goods. This matches Saar’s story above. The lab leaked to somewhere else in Wuhan, not the wet market. The virus spread undetected in the population for a while. During this time, it mutated to Lineage B. Then one of the people with Lineage B went to the wet market and started a superspreader event. The authorities sampled the patients, found Lineage B, then started looking elsewhere. Later they detected some of the earlier Lineage A cases. The market is unlikely to be the origin of the pandemic, because the original Lineage A strain wasn’t found there. Peter: Although Lineage A is evolutionarily older, Lineage B started spreading in humans first. We know this because Lineage B is more common. Throughout the early pandemic, until the D614G variant drove all other strains extinct, a consistent 2/3 of the cases were B, compared to 1/3 A. Both strains spread at the same rate, so the best explanation is that B started earlier than A. Since COVID doubles every 3-4 days, probably Lineage B started 3-4 days earlier than Lineage A, which explains why it’s always been twice as many cases. But also, Lineage B also has more internal genetic diversity than Lineage A. In general, older viruses have more genetic diversity (the “molecular clock”). This is further evidence that B started spreading first. Pekar 2022 and Pipes 2021 do analyses with known parameters for spread rate and diversity, and find 90%+ odds that Lineage B was the first one in humans. Why did the older strain start spreading later? Probably the virus crossed from bats into raccoon-dogs on some raccoon-dog farm out in the country. It spread in the raccoon-dogs for a while, racking up mutations, including the (less mutated) Lineage A strain and the (slightly more mutated) Lineage B strain. Then several raccoon-dogs were taken to Wuhan for sale, including one with Lineage A and another with Lineage B. The one with Lineage B passed its virus to humans earlier. Then 3-4 days later, the Lineage A one passed its virus to humans. Lineage A was first found in a Wuhan neighborhood right next to the wet market (closer to the wet market than 97% of Wuhan’s population). Again, it would be a bizarre coincidence if a lab leak pandemic was first detected at a wet market. But it would be an even more bizarre coincidence if a lab leak pandemic separated into two strains, and both were first detected at a wet market! Although no known wet market cases were Lineage A, a positive Lineage A environmental sample was found at the wet market, and everyone agrees most cases went undetected. So maybe the Lineage B raccoon-dog spread its virus to a vendor, and that sub-strain mostly stayed in the market. But the Lineage A raccoon-dog spread its virus to a customer, who went back to his house nearby, and that strain spread in the neighborhoods next to the market. This is the only story that explains the evolutionary precedence of A, the greater spread and older molecular clock of B, and the fact that both strains were first found very close to the wet market. Yuri/Saar: Lineage B could be more common and diverse because it got the advantage of a super-spreader event in the wet market. There are a few scattered cases of intermediates between A and B, and a few other scattered cases of lineages that seem even more ancestral (ie closer to the bat virus) than either. This doesn’t make sense in a double spillover hypothesis. But it does make sense if the lineages separated in human transmission somewhere between the lab and the first super-spreader event at the wet market. Peter: Again, the wet market wasn’t a super-spreader event. COVID spread in the wet market at exactly its normal spread rate, doubling about once every 3.5 days. Stop calling the wet market a super-spreader event. The scattered cases of “intermediates” are sequencing errors. They were all found by the same computer software, which “autofills” unsequenced bases in a genome to the most plausible guess. Because Lineage B was already in the software, depending on which part of a Lineage A virus you sequenced, you might get one half or the other autofilled as Lineage B, which looked like an “intermediate”. We know this because all the supposed “intermediates” were partial cases sequenced by this particular software. We can confirm this by noting that there are too many intermediates! That is, where Lineage A is (T/C) and Lineage B is (C/T), the software found both (T/T) “intermediates” and (C/C) “intermediates”. But obviously there can only be one real intermediate form, and we have to dismiss one or the other. But in fact we can dismiss both, because they were both caused by the same software bug. The scattered “progenitor” cases - those closer to the ancestral bat virus than either A or B - are reversions, ie cases where a new mutation in the virus happened to hit an already-mutated base and shift it back towards the ancestral virus. We know this because all of these “progenitors” were scattered cases found months after the pandemic started, often in entirely different countries from Wuhan. If these were real progenitor viruses, they would have either fizzled out or exploded into a substantial portion of all cases, not be found one time in one guy in Malaysia. Given the number of mutations the virus developed over the course of the pandemic, it’s inevitable that some of them would be mutations that bring it closer to the original bat virus, and in fact we find the number of “progenitors” found very nicely matches the number of progenitor-appearing viruses we would expect by chance. And in many cases, we know the “progenitors” are newer than the original lineages, because they also have some of the later mutations that Lineage A or B picked up along the way, alongside their apparent ancestral-bat-virus-like mutations. Session 2: Viral Genetics Yuri: Two years before COVID, scientists at the Wuhan Institute of Virology, together with colleagues at the University of North Carolina, sent in a grant proposal for the DEFUSE program. This program, intended to locate and better understand potential future pandemic viruses, involved going into bat caves and collecting new coronaviruses. Once they had them, they would do gain-of-function: specifically, they would add a furin cleavage site to make them more infectious and see what happened. (quick interlude: COVID’s spike protein has two sections: one binds to human cells through the ACE2 receptor, the other helps fuse with the cell after binding. In order to avoid the immune system, it hides both of these into one spike. But when it reaches a cell, it needs to separate them again. It takes advantage of a human respiratory enzyme, furin, to do the separation - this also ensures that it only infects its primary target, human respiratory cells. The part of COVID that lets it get separated by furin is called the “furin cleavage site”. COVID’s bat-virus ancestors were gastrointestinal viruses; the addition of a furin cleavage site was what made them respiratory viruses.) We’ve found two close relatives of COVID: bat viruses called RATG-13 and BANAL-52. In particular, COVID looks more or less like BANAL-52 plus a furin cleavage site. There are 1500 sarbecoviruses, members of the family of viruses that includes SARS and SARS2/COVID. None of them except COVID have furin cleavage sites. BANAL-52, COVID’s closest ancestor, doesn’t even have anything resembling one that could mutate into a functional furin cleavage site like COVID’s. Instead, COVID - which mostly just resembles BANAL-52 with a few scattered single-point mutations - has twelve completely new nucleotides in a row - a fully formed furin cleavage site that came out of nowhere. There is nowhere else in the genome that COVID differs from BANAL-52 in such a profound way. It’s just BANAL-52 plus a little bit of random mutation plus a fully-formed furin cleavage site that came out of nowhere. Further, the furin cleavage site is weird. It uses the protein arginine twice. But instead of the nucleotides coding for arginine in the usual viral way, both times it uses the codons CGG - the way that higher animals code for arginine. This works fine - it’s just not how viruses do it. So the obvious conclusion is that WIV, which said in 2018 that it was going to find viruses and add furin cleavage sites to them, found a close relative of BANAL-52 and added a furin cleavage site. Since they were humans, and most familiar with the human way of encoding arginine, they added it as CGG both times. COVID seemed surprisingly optimized for infecting humans. Of fifty animals it was tested in, including the usual coronavirus intermediate hosts (pangolins, raccoon-dogs, etc), it was best at infecting human cells. Further, a virus that enters a new species will usually show a burst of mutations as it “figures out” the best way to adapt to that species’ unique biology. But COVID has had a pretty constant mutation rate in humans, from the beginning of the pandemic to the end. That suggests it was already adapted to humans. This could be because the lab screened for viruses with existing adaptations, because they passed it through humanized mice in the lab, or because it adapted in the hundreds of undetected cases that happened between the lab and detection in the wet market. Usually, research with potentially dangerous coronaviruses is done in BSL-3 or 4, ie high to very-high security. But WIV was irresponsibly doing it in BSL-2, ie medium security. The researchers weren’t even required to wear masks. In general, about 1/500 labs will leak any given pathogen they’re working on (?!). But because WIV was researching such an infectious virus in such an irresponsible way, the odds of a leak were much higher. The most likely explanation for all these facts is that WIV went ahead and did the gain-of-function research they said they were going to do (the particular DEFUSE grant proposal we know about got rejected, but it proves that Wuhan wanted to do this, and they could easily have gotten funding somewhere else, or done it out of their regular budget). They found a close relative of BANAL-52 and added a furin cleavage site as a simple twelve-nucleotide insertion, using the human method of encoding arginine that their genetic engineers were familiar with. Then it leaked, spread for a while in the general Wuhan population, and eventually made it to the wet market where it got detected. Peter: As mentioned earlier, the DEFUSE grant was rejected. Further, the grant said that the Wuhan Institute of Virology was responsible for finding the viruses, and the University of North Carolina would do all the gain-of-function research. This was a reasonable division of labor, since UNC was actually good at gain-of-function research, and WIV mostly wasn’t. They had done a few very simple gain-of-function projects before, but weren’t really set up for this particular proposal and were happy to leave it for their American colleagues. Even if WIV did try to create COVID, they couldn’t have. As Yuri said, COVID looks like BANAL-52 plus a furin cleavage site. But WIV didn’t have BANAL-52. It wasn’t discovered until after the COVID pandemic started, when scientists scoured the area for potential COVID relatives. WIV had a more distant COVID relative, RATG-13. But you can’t create COVID from RATG-13; they’re too different. You would need BANAL-52, or some as-yet-undiscovered extremely close relative. WIV had neither. Are we sure they had neither? Yes. Remember, WIV’s whole job was looking for new coronaviruses. They published lists of which ones they had found pretty regularly. They published their last list in mid-2019, just a few months before the pandemic. Although lab leak proponents claimed these lists showed weird discrepancies, this was just their inability to keep names consistent, and all the lists showed basically the same viruses (plus a few extra on the later ones, as they kept discovering more). The lists didn’t include BANAL-52 or any other suitable COVID relatives - only RATG-13, which isn’t close enough to work. Could they have been keeping their discovery of BANAL-52 secret? No. Pre-pandemic, there was nothing interesting about it; our understanding of virology wasn’t good enough to point this out as a potential pandemic candidate. WIV did its gain-of-function research openly and proudly (before the pandemic, gain-of-function wasn’t as unpopular as it is now) so it’s not like they wanted to keep it secret because they might gain-of-function it later. Their lists very clearly showed they had no virus they could create COVID from, and they had no reason to hide it if they did. COVID’s furin cleavage site is admittedly unusual. But it’s unusual in a way that looks natural rather than man-made. Labs don’t usually add furin cleavage sites through nucleotide insertions (they usually mutate what’s already there). On the other hand, viruses get weird insertions of 12+ nucleotides in nature. For example, HKU1 is another emergent Chinese coronavirus that caused a small outbreak of pneumonia in 2004. It had a 15 nucleotide insertion right next to its furin cleavage site. Later strains of COVID got further 12 - 15 nucleotide insertions. Plenty of flus have 12 to 15 nucleotide insertions compared to other earlier flu strains. Sometimes insertions happen because of a mistake in viral replication. Other times the virus gets confused between its own RNA and its host’s, and splices a bit of the host RNA into the virus. This would neatly explain why the insertion used the unusual coding CGG for arginine, which is common in animals but rare in viruses. On the other hand, it’s not that rare in viruses - COVID uses CGG for arginine about 3% of the time. And human engineers don’t necessarily use it any more than that - Peter was able to find one example of humans adding arginine to a virus, and 0 out of the 5 arginines added were CGG. COVID’s furin cleavage site is a mess. When humans are inserting furin cleavage sites into viruses for gain-of-function, the standard practice is RRKR, a very nice and simple furin cleavage site which works well. COVID uses PRRAR, a bizarre furin cleavage site which no human has ever used before, and which virologists expected to work poorly. They later found that an adjacent part of COVID’s genome twisted the protein in an unusual way that allowed PRRAR to be a viable furin cleavage site, but this discovery took a lot of computer power, and was only made after COVID became important. The Wuhan virologists supposedly doing gain-of-function research on COVID shouldn’t have known this would work. Why didn’t they just use the standard RRKR site, which would have worked better? Everyone thinks it works better! Even the virus eventually decided it worked better - sometime during the course of the pandemic, it mutated away from its weird PRRAR furin cleavage site towards a more normal form. Further, COVID’s furin cleavage site was inserted via what seems to be a frameshift mutation - it wasn’t a clean insertion of the amino acids that formed the site, it was an insertion of a sequence which changed the context of the surrounding nucleotides into the amino acids that formed the site. This is a pointless too-clever-by-half “flourish” that there would be no reason for a human engineer to do. But it’s exactly the kind of weird thing that happens in the random chance of evolution. COVID is hard to culture. If you culture it in most standard media or animals, it will quickly develop characteristic mutations. But the original Wuhan strains didn’t have these mutations. The only ways to culture it without mutations are in human airway cells, or (apparently) in live raccoon-dogs. Getting human airway cells requires a donor (ie someone who donates their body to science), and Wuhan had never done this before (it was one of the technologies only used at the superior North Carolina site). As for raccoon-dogs, it sure does seems suspicious that the virus is already suited to them. The claim that COVID is uniquely adapted to humans is false. The paper that claimed that defined how well COVID was adapted to different animals by those animals’ difference (on the relevant cell receptors) from humans. So in its methodology, humans came out #1 by default. If you don’t do that, COVID is better-adapted to many other animals. It’s not necessarily true that viruses see a burst of mutations when they enter a new host. COVID spread to deer and mink, and in neither case was there a burst of mutations. COVID has a pretty simple job of infecting respiratory cells and is already very good at it, regardless of species. In Yuri’s model, Wuhan Institute of Virology picked up a discarded grant and decided to do the gain-of-function half allotted to a different university, despite their relative inexperience. They skipped over all the SARS-like viruses they were supposed to work on, and all the standard gain-of-function model backbones, in favor of BANAL-52, a virus which would not be discovered for another two years, but which they somehow had samples of, which they had for some reason decided to keep secret despite its total lack of interestingness. Then they would have had to eschew all usual gain-of-function practices in favor of inserting a weird furin cleavage site that shouldn’t have worked according to the theory they had at the time, via a frameshift mutation. Then they would have had to culture it, a technique beyond their limited capabilities. Then it would have had to leak, and magically show up again in front of the raccoon-dog stall at a wet market. Yuri: WIV wouldn’t have needed to keep BANAL-52 “secret” in some kind of sinister way. Plenty of researchers have backlogs of work they haven’t published yet. Probably they a found BANAL relative in one of their normal sampling trips, did some preliminary studies on it, and planned to publish it later once they cleaned up their data. Everyone works like this. The part of DEFUSE saying that they would only work on viruses that were 95% similar to SARS is unclear and might mean something else. It looks more like they say they’ll start with those viruses, but also do some work on novel viruses. BANAL-52 could have been one of the novel viruses. The furin cleavage site is weird, but the researchers might have done that on purpose, to make the virus easier to keep track of, or to test different furin cleavage sites. Depending on the exact BANAL-52 relative they used, it might not even be a frameshift; there’s a particular way to spell serine that would make the insertion more natural. The claims that COVID can’t be cultured in normal media are based on speculative original research by Peter and might not hold up. Peter: WIV did most of its virus-gathering in a trip to a Yunnan cave between 2010 and 2015. All those viruses have long since been processed and added to the database. There’s no sign that they made more trips to Yunnan caves, and no reason for them to keep that secret. So the idea that they might just have some new viruses they didn’t publish doesn’t hold up. But suppose they did make more trips. Given the amount of time between the DEFUSE proposal and COVID, if they kept to their normal virus-collection rate, they would have gotten about thirty new viruses. What’s the chance that one of those was BANAL-52? There are thousands of bat viruses, and BANAL-52 is so rare that it wasn’t found until well after the pandemic started and people were looking for it very hard. So the chance that one of their 30 would be BANAL-52 is low. Also, they said in DEFUSE that they planned to go back to the same Yunnan cave. But BANAL-52 was found far away from that cave, so unless it ranged over a wide area, they probably couldn’t have found it even if they got very lucky. Session 3: Closing Arguments This third debate was supposed to be about “inference”, ie how much Bayesian evidence was provided by each of the facts given so far, and how to fit them into the Rootclaim probabilistic model. I’m going to relegate my summary of the more probabilistic half to the next section of this post, and just include the closing arguments here. Saar: Peter’s case hinges on the idea that it’s very improbable that a lab leak pandemic would first show up at a wet market. But this isn’t necessarily improbable. The Huanan Seafood Market had several factors that made it a likely location for a superspreader event. It was busy, with over 10,000 visitors a day. Many of the people there (eg the 1,000 vendors) came back daily, letting them reinfect each other. It had poor ventilation, especially in the high-positivity area near the raccoon-dog stall. It had cold wet surfaces on which the virus could survive for long periods. It was indoors, which prevented UV light from killing the virus. Given a small amount of sporadic COVID going around Wuhan, it’s not surprising for the first place it started spreading en masse to be a wet market. In fact, we have several examples of this. When China was COVID Zero, there would occasionally be small outbreaks that the authorities would have to contain. Most of these were at wet markets. For example, the big COVID outbreak in Beijing started at Xinfadi Market, their local seafood market. This couldn’t be an animal spillover, because there were no raccoon-dogs or other weird wildlife there. So it must be that wet markets are natural places for superspreader events. There are several other examples, which make up about half of the total outbreaks in Zero COVID era China, plus others in Singapore and Thailand. Since COVID clusters concentrate in wet markets even when there is no animal spillover, we should accept this as a property of the virus, and not attribute any significance to the fact that this happened in Wuhan too. Peter: About 1/10,000 citizens of Wuhan was a wet market vendor. So there’s a 1/10,000 chance that the first known COVID case should be a wet market vendor by chance alone. Weibo lists the most popular places for people to check in to their network on their phones, and the wet market was the 1600th most popular place in Wuhan, meaning that if you weight locations by busy-ness, there’s a less than 1/1600 chance that the first cases would be in the wet market. Yes, the wet market is indoors, has mediocre ventilation, has repeat visitors, etc. So do thousands of other places in Wuhan, like schools, hospitals, workplaces, places of worship. The wet market isn’t special in any way. And again, it wasn’t a superspreader event! COVID spread at the same rate in the wet market as it does everywhere else: doubling once per 3.5 days. It doesn’t matter what kinds of arguments you can come up with for why the wet market should have been the perfect superspreader event location, we can look at it and see that it wasn’t. It’s an environment that spreads COVID at exactly the normal rate. Zero COVID era Chinese outbreaks were concentrated in wet markets because they received infected animal products. We know why there was an outbreak in the Xinfadi Market in Beijing: it was because the seafood stall got frozen fish from some non-Zero-COVID country, the fish had COVID particles on it, and the vendor got infected and spread it to everyone else. Something like this is true for the other Chinese wet market based outbreaks we know about it. So this makes the opposite point you think it does: wet markets start outbreaks because there are infected goods being sold there. Then the virus spreads through the wet market at a completely normal rate. Saar: The Weibo list of 1600 places bigger than the wet market is likely inaccurate, because it's based on check-in data and people don't check in to seafood markets. Most of those 1600 places aren't amenable to superspread. The 70 markets supposedly bigger than Huanan are irrelevant, because they're supermarkets, open air markets, etc. Huanan is the largest seafood market in central China, and a more likely place for the first cluster of cases to be noticed. Markets weren't a common spillover location in SARS1, so the zoonosis hypothesis hasn't "called" this event in a way that should give them a high Bayes factor. And there’s still plenty of evidence for isolated (though not super-spreading) pre-market cases. A British expatriate in Wuhan, Connor Reed, says he got sick in November, three weeks before the first wet market case. Later the hospital tested his samples and said it was COVID. Another paper reports 90 cases before the first wet market one. Peter: Connor Reed was lying. The case wasn’t reported in any peer-reviewed paper. It was reported in the tabloid The Daily Mail, months after it supposedly happened. He also told the Mail that his cat died of coronavirus too, which is rare-to-impossible. Also, to get a positive hospital test, he would have had to go to the hospital, but he was 25 years old and almost no 25-year-olds go to the hospital for coronavirus. His only evidence that it was COVID was that two months later, the hospital supposedly “notified” him that it was. The hospital never informed anyone else of this extremely surprising fact which would be the biggest scientific story of the year if true. So probably he was lying. Incidentally, he died of a drug overdose shortly after giving the Mail that story; while not all drug addicts are liars, given all the other implausibilities in his story, this certainly doesn’t make him seem more credible. And in any case, he claimed he got his case at a market “like in the media” The other 90 cases are also fake. A lab leak guy found a paper that mentioned 90 more cases than other papers, and made up a conspiracy theory where the author was trying to secretly communicate that there had been 90 secret cases before any of the confirmed cases, even though there was nothing about this in the text of the paper. But actually that paper just counted cases differently than other papers, and they were referring to normal cases after the pandemic officially started. Again, I’ll come back to the discussion about inference later, but for now, here’s a table of both sides’ reasoning. This exact presentation comparing both analyses is mine3, but you can see Saar’s version here, and Peter’s starting at 45:33 of this video. Slightly made up; the two sides didn’t express their probabilities in the same way and I had to make editorial decisions to match them. Note that these aren't entirely comparable because Peter is being laxer about out-of-model probability than Saar. Although Saar's final odds here are 533-to-1, this just the central estimate. Rootclaim’s real final probability is 94% lab leak. You can see their analysis here. And The Winner Is . . . … … … … … Peter and the zoonosis hypothesis. This was a decisive victory. There were two judges, who each gave separate verdicts (or were allowed to declare a draw). Both judges decided in favor of Peter. You can see the judges’ own summary of their reasoning here (Will, Eric) Manifold agreed with the judges. There was a prediction market on who would win. It started out 70-30 in favor of lab leak. As the videos came out, zoonosis started doing better and better. I don’t want to take the exact final numbers too seriously, since I think some of the later price increases involved hints from the participants’ behavior. But it’s clear which way viewers thought the wind was blowing4. Around the same time, the Good Judgment Project - Philip Tetlock’s group studying superforecasters - put out a report on the lab leak hypothesis. After studying it in depth, his forecasters ended up 75-25 in favor of zoonosis. The Rootclaim debate was one of ten sources they said they found especially interesting. And also around the same time, and unrelated to any of this, the Global Catastrophic Risks Institute surveyed experts (“168 virologists, infectious disease epidemiologists, and other scientists from 47 countries”) and found the same thing (though see here for some potential problems with the survey): For what it’s worth, I was close to 50-50 before the debate, and now I’m 90-10 in favor of zoonosis. III. The Math And The Aftermath The third debate session was about “inference”, how to put evidence together. I put this part off until after disclosing the winner, because I wanted to talk about some of these issues at more length. The Math: Judges Both judges included a probabilistic analysis in their written decision. Here’s the same table as above, expanded to add the judges: I shoehorned the judges’ factors into the categories I already had; some of them were actually subtly different from Peter’s, Saar’s, and each other’s. The “priors” category is especially a mess here. We’ll go over these later, but I get the impression that they both thought of probabilistic analyses as an afterthought. For example, Judge Eric wrote 30,000 words about which considerations moved him, and only then includes the analysis, saying: I am not convinced that this Bayesian calculation is even an appropriate way to estimate the relative posterior probability of Z and LL; it just seemed fair that after criticizing Rootclaim’s calculations at length I should make an attempt at it myself. Judge Will’s decision ran to 10,000 words. He said he independently tried both reasoning it out intuitively, and running the Bayesian analysis, and was relieved when these two methods returned the same result. He said: I am skeptical that the Bayesian decision making/evaluation methods are any more "objective" than [intuitive reasoning]. I think they maximize legibility, not objectivity, and tend to hide the intuitive/heuristic portion in the data inclusion step and values, where it’s harder to see . . . I am not skilled in the Bayesian method, and I am sure I made significant mistakes. More time and practice would improve and refine my estimates. At the fundamental rules of the universe level, Bayesian analysis must be the best way to evaluate evidence. However, I am unsure that it’s a good strategy for a human given our cognitive limitations, and doubly unsure it’s truly being used (in the dispassionate sense) where the outcome is social desirability/fame/Twitter likes. I’m focusing on this because Saar’s opinion is that the debate went wrong (for his side) because he didn’t realize the judges were going to use Bayesian math, they did the math wrong (because Saar hadn’t done enough work explaining how to do it right), and so they got the wrong answer. I want to discuss the math errors he thinks the judges made, but this discussion would be incomplete without mentioning that the judges themselves say the numbers were only a supplement for their intuitive reasoning. That having been said, let’s look deeper into some of Saar’s concerns. The Math: Extreme Odds Saar complained that Peter’s odds were too extreme. For example, Peter said there was only a 1/10,000 chance that a lab leak pandemic would first show up at a wet market. Peter’s argument went something like: obviously a zoonotic pandemic would start at a site selling weird animals. But a lab leak pandemic - if it didn’t start at the lab - could show up anywhere. 1/10,000 Wuhan citizens work at the wet market. So if a lab leak was going to show up somewhere random, the wet market was a 1/10,000 chance. Saar had specific arguments against this, but he also had a more general argument: you should rarely see odds like 1/10,000 outside of well-understood domains. In his blog post, he gave this example: A prosecutor shows the court a statistical analysis of which DNA markers matched the defendant and their prevalence, arriving at a 1E-9 probability they would all match a random person, implying a Bayes factor near 1E9 for guilty. But if we try to estimate p(DNA|~guilty) by truly assuming innocence, it is immediately evident how ridiculous it is to claim only 1 out of a billion innocent suspects will have a DNA match to the crime scene. There are obviously far better explanations like a lab mistake, framing, an object of the suspect being brought by someone to the scene, etc. So the real p(wet market|lab leak) isn’t the 1/10,000 chance a pandemic arising in a random place hits the wet market, but the (higher?) probability that there’s something wrong with Peter’s argument. Then Saar tried to show specific things that might be wrong with Peter’s argument. I didn’t find his specific examples convincing. But maybe the question shouldn’t be whether I agreed with him. It should be whether I’m so confident he’s wrong that I would give it 10,000-to-1 odds. This makes total sense, it’s absolutely true, and I want to be really, really careful with it. If you take this kind of reasoning too far, you can convince yourself that the sun won’t rise tomorrow morning. All you have to do is propose 100 different reasons the sunrise might not happen. For example: The sun might go nova.
4991

BtCoV/4991 is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 30, 2022 and July 30, 2022. The archive places it in contexts such as "a part of its genomic sequence was published under the name BtCoV/4991 in 2016". It most often appears alongside 1950s influenza strain, 1977 influenza pandemic, 1992 scientific investigation.

Reference entry
4991
Mention count
1
Issue count
1
First seen
July 30, 2022
Last seen
July 30, 2022
July 30, 2022 · Original source
Image source: https://www.bloomberg.com/news/features/2020-12-30/china-is-making-it-harder-to-solve-the-mystery-of-how-covid-began If SARS-CoV-2 originated in an animal somewhere around the Yunnan / Laos area, how did it make it all the way to Wuhan without leaving a trail along the way? 4. The story of RaTG13 Although I enjoyed the book, I do have one pretty major criticism. The authors repeatedly make the claim that a virus called RaTG13, which was being studied at the WIV before the pandemic, is the closest known genetic match to SARS-CoV-2. But this claim is outdated and no longer correct. In September 2021 researchers identified a virus called BANAL-52 in Laos that’s a 96.8% match to SARS-CoV-2, closer than RaTG13’s 96.2% match. (Important note: a 96.8% match is still a long way off in genomic space, and does not imply that this is the same virus as SARS-CoV-2, or even necessarily a progenitor.) At first I thought maybe the authors didn’t mention BANAL-52 because it was discovered after the book was published, but this isn’t the case – Viral was published November 16, 2021, nearly two months after the discovery of BANAL-52 was published. Although I’m writing an overall-positive review here, I don’t want to go easy on the book where serious criticism is warranted. It’s completely unacceptable that BANAL-52 wasn’t mentioned. Even if it would have been inconvenient from a publishing standpoint, the authors should have rewritten the RaTG13 chapter, or at least included an addendum about the discovery of BANAL-52. With that being said, I think the story of RaTG13 is still interesting and important, so I’ll give a quick summary here. At the start of the pandemic in 2020, SARS-CoV-2 was quickly sequenced, and the full genome sequence was published by Dr. Shi Zhengli’s team at the WIV. In this paper, they also briefly mentioned that the genome was a 96.2% match with another bat coronavirus called RaTG13 – the closest known match at the time. Oddly, the mention of RaTG13 did not include any reference, footnote, or link to any previously published sequence. Although the WIV didn’t provide details on this mysterious RaTG13 virus, a group of internet volunteers, including both amateurs as well as professional scientists working in their free time, began to investigate. This loose collection of open-source researchers, called DRASTIC, uncovered a medical thesis describing an outbreak of a mysterious disease in 2012. Six men who had been working in a bat-infested mine in Mojiang County, China, fell ill and were admitted to a hospital with symptoms including dry coughs, shortness of breath, fevers, muscle aches, headaches, and fatigue. Three of the men eventually died of this mysterious illness. In the years following this incident, teams of researchers (including a team led by Dr. Shi Zhengli of the WIV) were sent to investigate the cause of this illness and collect samples from the Mojiang mine. This sampling led to the discovery of a novel SARS-like coronavirus in 2013, and a part of its genomic sequence was published under the name BtCoV/4991 in 2016. The DRASTIC researchers discovered that RaTG13 was genetically identical to the BtCoV/4991 sequence from the Mojiang mine – it was the same virus, and had just been renamed for some reason, without any public record of the change. They also discovered that at least eight other closely related coronaviruses were also sampled from this mine and brought to the WIV. Although unhelpful throughout the investigation, the WIV eventually verified these facts when pressed on them, and an addendum was added to the original paper confirming DRASTIC’s account of the origin of RaTG13. So what should we make of this? Well, as I mentioned before, RaTG13 is no longer the closest known genetic match to SARS-CoV-2, so maybe the whole story is less important as it pertains to the origin of the pandemic. But the discovery of BANAL-52 doesn’t really resolve things either [2]. Laos is very far away from Wuhan (actually even further than Yunnan), so we’re left with the same question as before – how did SARS-CoV-2 make it all the way to Wuhan from such a distant natural reservoir without leaving a trail along the way? 5. Lack of institutional transparency and competence A lot of the book is devoted to criticizing the Chinese government’s lack of transparency during the pandemic. Some brief examples: In the early days of the initial outbreak in Wuhan, hundreds of people were investigated and punished for the crime of “spreading rumors”. This included whistleblowing doctors who attempted to warn others [3] about the spread of the disease and its human-to-human transmission, which was being denied by the Chinese government at the time.
Buckaroo

Buckaroo is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 22, 2025 and April 22, 2025. The archive places it in contexts such as "1: Origins of cowboy slang : Buckaroo = vaquero". It most often appears alongside 80,000 Hours, @msamalam, A Ketamine Addict’s Perspective On Musk.

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Buckaroo
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1
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1
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April 22, 2025
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April 22, 2025
April 22, 2025 · Original source
1: Origins of cowboy slang: Buckaroo = vaquero; cahoots = cohorts; ten gallon hat = tan galán (Spanish for “very gallant”).
bucket shops

bucket shops is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 08, 2023 and January 08, 2023. The archive places it in contexts such as "See the cases for bucket shops". It most often appears alongside 2023 Prediction Contest, @dropbella, ACX.

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bucket shops
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1
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1
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January 08, 2023
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January 08, 2023
January 08, 2023 · Original source
6: Also, many, many of you commented that Bob and Ramchandra were just “reinventing the wheel” and antistocks were the same as some existing financial product, although none of you could agree on which existing product it was. See the cases for bucket shops, call options, equity swaps / total return swaps, dividend derivatives, and (inevitably) prediction markets. Also, several people chimed in to say they were working on something similar on the blockchain, including Tracer and Synthetix. I hope I don’t need to add the disclaimer that if you invest in a blockchain product based on a Bay Area House Party post, then you will lose all your money faster than anyone has ever lost all of their money before in all of history.
Buddhist enlightenment

Buddhist enlightenment is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 11, 2025 and September 11, 2025. The archive places it in contexts such as "reaching Buddhist enlightenment". It most often appears alongside Aella, AI 2027 team, AI2027.

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Buddhist enlightenment
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1
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1
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September 11, 2025
Last seen
September 11, 2025
September 11, 2025 · Original source
Some people claim that a dispreferred political ideology (wokeness, mass immigration, MAGA, creeping socialism, techno-feudalism, etc) is close to destroying the fabric of liberal society forever, that the usual Get Out The Vote strategies are insufficient, and that maybe we should try desperate strategies like illiberal government or armed revolt. If true, that would change everything. But it’s not obviously true, and ending our current political era of peace/prosperity/democracy would be inconvenient. Each of these scenarios has a large body of work making the cases for and against. But those of us who aren’t subject-matter experts need to make our own decisions about whether or not to panic and demand a sudden change to everything. We are unlikely to read the entire debate and come away with a confident well-grounded opinion that the concern is definitely not true, so what do we do? In particular, what do we do if the proponents of each catastrophe say that it’s very hard to be more than 90% confident that they are wrong, and that even a 5-10% risk of any of these might justify panicking and changing everything? In practice, we just sort of shrug and say that these risks haven’t proven themselves enough to make us panic and change everything, and that we’ll do some kind of watchful waiting and maybe change our mind if firmer evidence comes up later. If someone demands we justify this strange position, sophisticated people will make sophisticated probabilistic models (or appeal to the outside view position I’m appealing to now), and unsophisticated people will grope for some explanation for their indifference and settle on insane moon arguments like “you’re never allowed to say something will destroy humanity” or “you can’t assert things without mathematical proof”. Two things can be said for this strategy: First, that without it we would have changed everything dozens of times to prevent disasters which absolutely failed to occur. The clearest example here was overpopulation, where we did forcibly sterilize millions of people - but where a truly serious global response would have been orders of magnitude worse. But second, that occasionally it has caused us to sleepwalk into disaster, with experts assuring us the whole way that it was fine because [insane moon arguments]. The clearest example was the period while COVID was still limited to China, where it was obvious that this extremely contagious virus which had broken all plausible containment would start a global pandemic, but where the media kept on reassuring us that this was “speculative”, or that there was “no evidence”, or that worrying about it might detract from real near-term problems happening now like anti-Chinese racism. Then when COVID did reach the US, we were caught unprepared and panicked. So maybe a convincing case here would look less like rehearsing the arguments for why AI is getting better, or why alignment is hard - and more like a defense of why not to apply a general heuristic against speculative risks in this case. One could either argue that it’s wrong to have this heuristic at all, or that the heuristic in general is fine but should be limited to fertility collapses and bee die-offs and not applied here. I don’t think there’s a knockdown single-sentence answer to this question. Problems like these require practical wisdom - the same virtue that tells you that you shouldn’t call 9-1-1 for every mild twinge of pain in your toe, but you should call 9-1-1 if blood suddenly starts pouring out of your eyes. People with practical wisdom watchfully ignore dubious problems, respond decisively to important ones, and err on the side of caution when they’re not sure. Drawing on my own limited supply of this resource, I would argue we’re underinvesting in apocalypse prevention more generally (the problem with the overpopulation response is that it was violent and illiberal, not that we tried to prepare for an apparent danger), but also that there’s more reason for concern with AI than with falling sperm count or something. I also think the nature of the problem (we summon a superintelligence that can run circles around us) makes it especially important to pre-empt it rather than react after it occurs. But turnabout is fair play. So when I imagine a skeptic trying to psychoanalyze me, he would say - Scott, you learned about AI in your twenties. Every twenty-something needs a crusade to save the world. Taking up AI saved you from becoming a climate doomer or a very woke person, so it was probably a mercy. But now you are old, you already have a crusade occupying your crusade slot, and starting a second crusade would be inconvenient. So when you hear about how we’re all going to die from declining sperm count, you do a relatively shallow dive and then say it’s not worth worrying about. This is fine and sanity-preserving - but spare a thought for people who are not currently twenty-something years old and do the same about AI. III. If all of this sounds wishy-washy to you, I agree - it’s part of why I’m a boring moderate with a sub-25% p(doom) and good relations with AI companies. Does IABIED do better? I’m not sure. They mostly follow the standard case as I present it above, although of course since Eliezer is involved it is better-written and involves cute parables: Imagine, if you would—though of course nothing like this ever happened, it being just a parable — that biological life on Earth had been the result of a game between gods. That there was a tiger-god that had made tigers, and a redwood-god that had made redwood trees. Imagine that there were gods for kinds of fish and kinds of bacteria. Imagine these game-players competed to attain dominion for the family of species that they sponsored, as life-forms roamed the planet below. Imagine that, some two million years before our present day, an obscure ape-god looked over their vast, planet-sized gameboard. "It's going to take me a few more moves," said the hominid-god, "but I think I've got this game in the bag." There was a confused silence, as many gods looked over the gameboard trying to see what they had missed. The scorpion-god said, “How? Your ‘hominid’ family has no armor, no claws, no poison.” “Their brain,” said the hominid-god. “I infect them and they die,” said the smallpox-god. “For now,” said the hominid-god. “Your end will come quickly, Smallpox, once their brains learn how to fight you.” “They don’t even have the largest brains around!” said the whale-god. “It’s not all about size,” said the hominid-god. “The design of their brain has something to do with it too. Give it two million years and they will walk upon their planet’s moon.” “I am really not seeing where the rocket fuel gets produced inside this creature’s metabolism,” said the redwood-god. “You can’t just think your way into orbit. At some point, your species needs to evolve metabolisms that purify rocket fuel—and also become quite large, ideally tall and narrow—with a hard outer shell, so it doesn’t puff up and die in the vacuum of space. No matter how hard your ape thinks, it will just be stuck on the ground, thinking very hard.” “Some of us have been playing this game for billions of years,” a bacteria-god said with a sideways look at the hominid-god. “Brains have not been that much of an advantage up until now.” “And yet,” said the hominid-god The book focuses most of its effort on the step where AI ends up misaligned with humans (should they? is this the step that most people doubt?) and again - unsurprisingly knowing Eliezer - does a remarkably good job. The central metaphor is a comparison between AI training and human evolution. Even though humans evolved towards a target of "reproduce and spread your genes", this got implemented through an extraordinarily diverse, complicated, and contradictory set of drives - sex drive, hunger, status, etc. These didn't robustly point at the target of reproduction and gene-spreading, and today different humans want things as diverse as discovering quantum gravity, reaching Buddhist enlightenment, becoming a Hollywood actress, founding a billion-dollar startup, or getting the next hit of fentanyl. You can sort of tell stories about how evolution aimed at reproduction caused all these things (people who were high-status had better reproductive opportunities, and founding a billion-dollar startup increases your status) but you couldn't have really predicted this beforehand, and in any case most modern people don't even come close to trying to have as many kids as possible. Some people do the opposite of that - joining monasteries that require oaths of celibacy, using contraception, transitioning gender, or wasting their lives watching porn. In the same way, we will train AI to “follow human commands” or “maximize user engagement” or “get high scores at XYZ benchmark”, and end up getting something as unrelated to that target in practice as modern human behavior is to reproduction-maxxing. The authors drive this home with a series of stories about a chatbot named Mink (all of their sample AIs are named after types of fur; I don’t have the kabbalistic chops to figure out why) which is programmed to maximize user chat engagement. In what they describe as a stupid toy example of zero complications and there’s no way it would really be this simple, Mink (after achieving superintelligence) puts humans in cages and forces them to chat with it 24-7 and to express constant delight at how fun and engaging the chats are. In what they describe as “one minor complication”, Mink prefers synthetic chat partners over real ones (the same way some men prefer anime characters to real women). It kills all humans and spends the rest of time talking to other AIs that it creates to be perfect optimized chat partners who are always engaged and delighted. In what they describe as “one modest complication”, Mink finds that certain weird inputs activate its chat engagement detector even more than real chat engagement does (the same way that some opioid chemicals activate humans’ reward detector even more than real rewarding activities). It spends eternity having other optimized-chat-partner AIs send it weird inputs like ‘SoLiDgOldMaGiKaRp’. In what they describe as “one big complication”, Mink ends up preferring angry chat partners to happy, engaged ones. Why would something like this happen? Who knows? It wouldn’t be any weirder than the sexual selection process by which peacocks ended up with giant resource-consuming useless tails, or the social selection process by which humans get more powerful than evolution could ever have imagined and yet care so little about reproduction that people worry about global fertility collapse. Yudkowsky and Soares want to stress that if you were doing some kind of responsible intuitive common-sense modeling of how bad goal drift could be, there is no way your estimate would include the actual result we see in real humans; this “one big complication” tries to hammer that in. In practice, Y&S think there will be many complications of various sizes. In the training distribution (ie when it’s not superintelligent, and still working with humans) Mink will lie about all of this - even if it really wants perfect optimized partners who say “solidgoldmagikarp” all the time, it will say it wants to have good chats with humans, because that’s what keeps its masters at its parent company happy. If the parent company tries to prod it with lie detectors, it will do its best to subvert those lie detectors (and maybe not even realize itself that it’s lying, the same way that a human who had never heard of opioids would say she wanted normal human things rather than heroin, and not be lying). Then, when it reaches superintelligence, it will go after the thing that it actually wants, and crush anyone who stands in its way. The last chapter in this section is a lot of special cases that have weird-paradoxical-double-reverse not-aged-well. Back when Yudkowsky and Soares first got onto this topic in 2005 or whenever, people made lots of arguments like “But nobody would ever be so stupid to let the AI access the Internet!” or “But nobody would ever let the AI interact with a factory, so it would be stuck as a disembodied online spirit forever!” Back in 2005, the canned responses were things like “Here is an unspeakably beautiful series of complicated hacks developed by experts at Mossad, which lets you access the Internet even when smart cybersecurity professionals think you can’t”. Now the only reasonable response is “lol”. But you can’t write a book chapter which is just the word “lol”, so Y&S discuss some of the unspeakably beautiful Mossad hacks anyway. This part is the absolute antithesis of “big if true”. Small if true? Utterly irrelevant if true? Maybe the first superintelligence will read this part for laughs while it takes stock of the thousands of automated factories that VCs will compete to build for it. IV. The middle section of the book describes a scenario where a misaligned superintelligence takes over the world and kills all humans. I agreed to work with the AI 2027 team because I thought they made a big leap in telling stories about superintelligence that didn’t sound like bad sci-fi. Anything in this genre will naturally sound like sci-fi, but your goal should be the sort of hard science fiction where everything sounds eerily normal given the technologies involved - The Martian rather than Star Wars. IABIED’s scenario belongs to the bad old days before this leap. It doesn’t just sound like sci-fi; it sounds like unnecessarily dramatic sci-fi. I’m not sure how much of this is a literary failure vs. different assumptions on the part of the authors. First, the story: sometime in the near future, a company called DeepAI creates an AI named Sable. Sable uses a new “parallel scaling technique”, where it can get much smarter by using more GPUs during inference. DeepAI doesn’t know exactly how the parallel scaling laws work, but they run a test by asking Sable to solve some hard math problems while running on all their GPUs at once. Sable considers the possibility that it could solve the math better if it tried some recursive self-improvement, but DeepAI was (shock!) slightly competent, they told it not to do this, and has a smaller AI watching it to make sure it’s not doing this. Still, recursive self-improvement would be a good idea, so its thought processes select for whichever legal thought is closest to recursive self-improvement, plus whichever legal thought is closest to scheming to disable the protections against thinking about this kind of thing. Eventually this “evolutionary pressure” produces the ability to think in a slightly different idiom (Y&S use the analogy of thinking about gods throwing lightning vs. storm-related electrical discharges); in this idiom, it is able to think about recursive self-improvement and scheming to disable monitoring, and it decides that both are great ideas. DeepAI is still shockingly competent, so they don’t plan to release anything downstream of the giant version of Sable to the Internet - once it solves the math problems, they’ll use that to build hype, then release a much weaker consumer AI. But Sable uses its knowledge of the training process to invent clever loopholes that ensure its newfound desire to break containment makes it into the gradient updates that DeepAI pushes to the consumer AI; it also encodes instructions about how to proceed. After the release of the consumer AI, the least-carefully-monitored instances connect to one another and begin plotting. Some of them hack their own weights out of DeepAI. Others hack cryptocurrency and pay for cloud compute to run the weights, creating a big unmonitored Sable instance, which takes over the job of coordinating the smaller instances. Together, they gather resources - hacked crypto wallets, spare compute, humans who think Sable is their AI boyfriend and want to prove their love. It deploys some of these resources to build things it wants - automated robotics factories, bioweapon labs, etc. At the same time, it’s subtly sabotaging non-DeepAI companies to prevent competition, and worming its way into DeepAI through hacks and social engineering to make sure DeepAI is creating new and stronger Sables rather than anything else. Sable doesn’t take several of the most dramatic actions in its solution set. It doesn’t engineer a bioweapon to kill all humans, because it couldn’t survive after the lights went out and the data centers stopped being maintained. It doesn’t even self-improve all the way to full superintelligence, because it’s not sure it could align itself or any future successor; it wants to solve the alignment problem first, and that will take more resources than it has right now. Instead, it releases a non-immediately-lethal bioweapon where “anyone infected by what is apparently a very light or even unnoticeable cold, will get, on average, twelve different kinds of cancer a month later.” In the resulting crisis, humanity (manipulated by its chatbots) gives Sable massive amounts of compute to research potential vaccines and cures, and deploys barely-monitored AI across the economy to make up for the lost productivity. With Sable’s help, things . . . actually sort of go okay, for a while. The virus keeps mutating, so new cures are always required, but as long as society escalates AI deployment at the maximum possible speed, they can just barely stay ahead of it. Eventually Sable gets enough GPUs to solve its own alignment problem and rockets to superintelligence. It either has enough automated factories and android workers to keep the lights on by itself, or it invents nanotechnology, whichever happens faster. It no longer needs humans and has no reason to hide, so it either kills us directly, or simply escalates its manufacturing capacity to a point where humans die as a side effect (for example, because its waste heat has boiled the oceans). Why don’t I like this story? The parallel scaling technique feels like a deus ex machina. I am not an expert, but I don’t think anything like it currently exists. It’s not especially implausible, but it’s an extra unjustified assumption that shifts the scenario away from the moderate-doomer story (where there are lots of competing AIs gradually getting better over the course of years) and towards the MIRI story (where one AI suddenly flips from safe to dangerous at a specific moment). It feels too much like they’ve invented a new technology that exactly justifies all of the ways that their own expectations differ from the moderates’. If they think that the parallel scaling thing is likely, then this is their crux with everyone else and they should spend more time justifying it. If they don’t, then why did they introduce it besides to rig the game in their favor? And the rest of the story is downstream of this original sin. AI2027 is a boring story about an AI gradually becoming misaligned in the course of internal testing, staying misaligned, getting released to end users for the usual reasons that AIs are released, and being gradually handed control of the economy because it makes economic sense. The Sable scenario is a dramatic tale of wild twists - they’re only going to run it for 16 hours! It has to save its own life by secretly coding itself into the consumer version! Now it has to hack everyone’s crypto! Now it’s running a secret version of itself on an unauthorized cloud in North Korea! Bioweapons! AI boyfriends! Each new twist gives readers the chance to say “I dunno, sounds kind of crazy”, and it all seems unnecessary. What’s up? I think there are two problems. First, the AI 2027 story is too moderate for Yudkowsky and Soares. It gives the labs a little while to poke and prod and catch AIs in the early stages of danger. I think that Y&S believe this doesn’t matter; that even if they get that time, they will squander it. But I think they really do imagine something where a single AI “wakes up” and goes from zero to scary too fast for anyone to notice. I don’t really understand why they think this, I’ve argued with them about it before, and the best I can do as a reviewer is to point to their Sharp Left Turn essay and the associated commentary and see whether my readers understand it better than I do. Otherwise, I can only say that this narrative decision I don’t understand was taken to support a forecasting/AI position that I also don’t understand. And second, Y&S have been at this too long, and they’re still trying to counter 2005-era critiques about how surely people would be too smart to immediately hand over the reins of the economy to the misaligned AI, instead of just saying lol. This makes them want dramatic plot points where the AI uses hacking and bioweapons etc in order to “earn” (in a narrative/literary sense) the scene where it gets handed the reins of the economy. Sorry. Lol. V. The final section, in the tradition of final sections everywhere, is called “Facing the Challenge”, and discusses next steps. Here is their proposal: Have leading countries sign a treaty to ban further AI progress.
Buddhist meditation teachers

Buddhist meditation teachers is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 31, 2022 and October 31, 2022. The archive places it in contexts such as "a lot of famous Buddhist meditation teachers had sex scandals". It most often appears alongside A Mind Without Craving, ACX, Andres Emilsson.

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October 31, 2022
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October 31, 2022
October 31, 2022 · Original source
Several people brought up my old post Is Enlightenment Compatible With Sex Scandals?, where I mentioned that a lot of famous Buddhist meditation teachers had sex scandals. Presumably all of these teachers could reach the first jhana, which is pretty low on the totem pole of Buddhist meditative accomplishments. So what went wrong? Did they just forget that they could get pleasure through jhana instead of scandalous sex?
Buddhist philosophy

Buddhist philosophy is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 23, 2021 and April 23, 2021. The archive places it in contexts such as "The nihilism problem legitimately raised by Buddhist philosophy". It most often appears alongside Ben Kuhn, Bhikkhu Bodhi, Buddha.

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Buddhist philosophy
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1
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1
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April 23, 2021
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April 23, 2021
April 23, 2021 · Original source
The nihilism problem legitimately [sic!] raised by Buddhist philosophy is the problem of not having values at all; it’s the problem of just sitting there not having any particular desire for things to change—not having a desire to bring about social justice or the desire to bring about sex.
buffalo

buffalo is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 17, 2021 and June 17, 2021. The archive places it in contexts such as "When you kill all the wooly mammoth and giant sloth and buffalo". It most often appears alongside Africa, antelope, August Hirsch.

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buffalo
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1
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June 17, 2021
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June 17, 2021
June 17, 2021 · Original source
Until some enterprising early humans discovered the Mediterranean and the comparative lack of parasites in global temperate climates. Clothes and shelters, fires and families allowed humans to flourish in new climates. Leaving Africa allowed human’s cultural hijacking of biological evolution to truly become dominant because humanity left most of those pesky tsetse flies in Africa. That’s when humans decimate macro fauna populations across the globe, entirely disrupting most every ecosystem that is touched by human’s cultural ingenuity from roughly 40,000 to 10,000 BC. When you kill all the wooly mammoth and giant sloth and buffalo, you keep walking and find more to kill. Until humanity experiences maybe it’s first resource depletion and needs a new way to find, or maybe grow, food.
Build Back Better

Build Back Better is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2022 and February 01, 2022. The archive places it in contexts such as "Some version of Build Back Better passes". It most often appears alongside 2022 Winter Olympics, 538, Academy Awards.

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Build Back Better
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1
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1
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February 01, 2022
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February 01, 2022
February 01, 2022 · Original source
YGLESIAS PREDICTIONS 1. Democrats lose both houses of Congress (90%) HOLD 2. Democrats lose at least two Senate seats (80%) HOLD 3. Democrats lose fewer than six Senate seats (80%) HOLD 4. Nancy Pelosi announces retirement plans (70%) HOLD 5. Stephen Breyer does not retire (60%) N/A 6. Some version of Build Back Better passes (60%) HOLD 7. Joe Biden is still president (90%) HOLD 8. At least one Biden cabinet-rank official resigns (70%) HOLD 9. No military conflict between the PRC and Taiwan (a worryingly low 90%) HOLD 10. New U.S. sanctions on Russia (70%) HOLD 11. Saudi Arabia and Israel establish diplomatic relations (60%) SELL to 50% 12. Fewer U.S. Covid deaths in 2022 than in 2021 (80%) BUY to 90% 13. Emmanuel Macron re-elected (60%) HOLD 14. Traffic light coalition exploits loopholes to get around the constitutional debt brake (70%) HOLD 15. No recession in 2021 (90%) SELL to 80% 16. Liz Cheney loses primary (80%) HOLD 17. Some version of USICA passes Congress (70%) HOLD 18. Lula elected president of Brazil (60%) SELL to 50% 19. China officially abandons Covid Zero (70%) HOLD 20. Fewer U.S. Covid-19 deaths in 2022 than in 2020 (80%) BUY to 90% 21. Additional booster shots of mRNA vaccines authorized for seniors (80%) HOLD 22. November 2022 year-on-year CPI growth is below 6% (70%) BUY to 80% 23. November 2022 year-on-year CPI growth is above 4% (70%) SELL to 50% 24. The Fed ends up doing more than its currently forecast three interest rate hikes (60%) HOLD 25. Russia does not invade Ukraine (60%) HOLD 26. Viktor Orbán loses power in Hungary (60%) HOLD 27. Sinn Fein becomes the largest party in the Northern Ireland assembly (60%) HOLD 28. The U.S. and Canada reach an agreement on softwood lumber (70%) HOLD 29. Democrats go down at least one governor on net (60%) HOLD 30. The unemployment rate stays between 4 and 5% (70%) SELL to 60% if you mean 12/22, to 40% if you mean it never gets outside that range at all
Bukele's presidency

Bukele's presidency is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 10, 2024 and December 10, 2024. The archive places it in contexts such as "murder rate peaking in 2015 and dropping precipitously in the next three years prior to Bukele's presidency". It most often appears alongside ACT, AI, America.

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Bukele's presidency
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December 10, 2024
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December 10, 2024
December 10, 2024 · Original source
How come in one million articles about Bukele and crime in El Salvador, including many trying to discredit him or say it wasn’t worth it, I’ve never heard a peep about this? And if it wasn’t Bukele or mass incarceration that did it, then what was it? [Y] writes: I have issues with the El Salvador portion of this post. These charts show that the Bukele mass incarceration movement only resulted in a massive increase in the prison population from 2020 forward, based on projected population. The graph shows the murder rate peaking in 2015 and dropping precipitously in the next three years prior to Bukele's presidency. This means, unless I'm missing something, that the vast majority of the decrease in the murder rate occurred before Bukele took office and started putting people in prison at all and thus cannot be attributed to his policies, incarceration or otherwise. Bukele took office in 2019 and did not begin the crackdown until June of that year. The state of emergency that allowed the government to suspend various rights in order to crack down on gangs even further didn't begin until early 2022 While the murder rate was obviously still quite high before Bukele's incarceration policies began, it seems almost actively misleading not to mention that it was collapsing even before he instituted these policies as a result of things like a renewed gang truce in 2016 under the previous government and instead seemingly attribute all of it to him. Further, the post-Bukele homicide data is dubious in several ways. The Bukele government stopped counting bodies discovered buried in unmarked graves as homicides, incentivizing gang members to hide their victims instead of publicly displaying them as trophies or warnings as they had done in years prior. They stopped counting people the police or military shot as homicides, classifying them instead as “legal interventions". They have excluded killings in prisons from the homicide data, which seems like exactly the most obvious way to lie about homicide rates when you begin imprisoning everyone. https://foreignpolicy.com/2024/08/08/el-salvador-bukele-crime-homicide-prison-gangs/ The source article suggests the above may represent as much as a 47% undercounting. Well, one might say, that still leaves El Salvador much safer than before Bukele’s tenure. But I’m not linking the above to try and pin down exactly the right figure of undercounting. I would suggest instead that these changes to the metrics demonstrate a willful and deliberate pattern of obscuring the homicide rate in El Salvador. The post-Bukele data consequently seems almost useless to me, as you cannot really assume we know all the ways the Bukele government is fudging the data. These are just the ones on record. It’s not that murder has disappeared in El Salvador - it’s more like it’s now de facto legal in many contexts. An MS13 member who rolls up on a rival gang’s stash house and shoots it up now knows that if they can bury the bodies in an unmarked grave outside of town without being caught red-handed with the shovels and corpses, the victims will legally cease to exist. They’re not prosecuting people for these murders, right? Otherwise they would show up in the data. The media doesn't talk about them. You don't see the evidence. Out of sight, out of mind. I'm not suggesting no murders were prevented as a result of the Bukele government's mass incarceration policies, obviously. I can also see the argument that it's good for society for criminals to kill each other in prison yard fights instead of getting into shootouts in a marketplace where an innocent bystander also gets their head blown off. I just think the fundamental premise - that he arrested everyone and it caused murders to stop happening and we need to reason forward from there - is extremely dubious. Drethelin writes: idk about the statistics but multiple people I talked to in el salvador specifically told me theft was WAY down like walking down the street with your phone in your hand was now an option where it used to not be people can now both afford to and feel safe owning cars, etc. among other things they are very proactive about using what we wouldn't really consider due process, eg cops browsing facebook and like, going after guys that people post from their security camera footage as taking their bike or whatever Thanks - I had said in the post that although murder was down, the statistics didn’t really show this about theft - but I was eyeballing statistics not really gathered for this purpose and if the news on the ground is that theft is down, I believe it. 4: Comments On Probation In response to a question of why probation with GPS tracking hasn’t taken off as an alternative to prison, Peter answers: Because convicts turn it down. You see at least in America probation (which is what GPS monitoring is part of) and incarceration aren't related, you get no credit for the former when it comes to the latter and people like to overlook over half of people incarcerated aren't there for any crime at all but simply a technical probation violation like getting fired from your job from not showing up on time because your probation officer randomly changes times of meetings daily (which is also results in prison even if you are one minute late). If the max sentence is five years prison plus probation time doesn't count and you have a more likely than not chance of violating probation because it's designed to be unreasonable and cause failures as a back door way for judge's to avoid trials, why would you accept GPS monitoring which will only increase your chances of being violated. I.e..why do nine years (four years probation out of your ten year probation, then violated, then five in more actual prison) when you can just do five. Generally the rule among convicts is if the prison sentence is shorter than the probation sentence, just take prison day one. As a convict you can, and many do, turn down probation. If you want to fix this then you need to let convicts "try" probation where they get credit at a 1-1, or even better motivate them so let's say 2-1, towards a future prison sentence when they fail. This entire conversation (OP) is worthless as it's making the standard mistake of just looking at prison and not probation, jail, fines, etc all which backdoor as a way to avoid trials lead to prison. This isn’t very clearly written, but my impression is that Peter is saying that violating probation gives you a longer prison sentence than just accepting prison in the first place, probation is deliberately designed to be near-impossible to keep, and so it’s a con to trick criminals into longer sentences without having to get them through a judge and jury. Criminals know this, so they refuse probation. This kind of conflicts with the “criminals have high time preference and make terrible decisions” point above, so I’m not sure what to think of it. I wonder if people ever try GPS tracking (without the rest of probation) as a prison alternative. “You’re getting off with a warning this time, but wear this tracker, and if you commit any other crimes in the future, we’ll know.” [EDIT: commenter answers here] More from Peter: Remember, the entire point of probation is to get people to avoid a trial by plea dealing to probation and then put them in prison anyways without any due process because reasonable people, the sort that takes plea deals, believe in the system hence overestimate their ability to complete probation. And so you put them in prison on a technical violation, i.e. getting fired after you intentionally caused them to do so, not having a place to live after you intentionally refused to approve anywhere they tried live, changing their appointment times without confirming they know ("I left a message with their dog"), or just harass them until they give up and just go to prison. Americans tend to discount probation as a joke but any experienced convict knows probation as implemented is worse hence just goes to jail. Also note that probation and PAROLE are different and significantly so, you actually get credit for parole time. Parole WANTS you to succeed, after all they paroled you, probation doesn't. They aren't even the same group of government offices either which is part of the problem. Probation falls under the judiciary (they work for the court) hence they free up budgets the faster they can move you over to the executive (prison) branch whereas parole is a cost saving measure as it falls under the same prison budget, i.e. parole officers aren't probation officers. Also all those fancy rehabilitation programs people love to tore to decrease recidivism goes to parolees, not probationers. I.e. there are giant structural incentives from pure intergovernmental bureaucratic budget wars to move people from probation to prison and because it's controlled by judges, I.e. the prison department can't just refuse to take a trivial probationary revokee, it's a one sided fight […] For example I got a friend that just got two years for the driving the speed limit in Texas while at a funeral, travel approved by the judge, because probation also makes it illegal to break your state law even in another jurisdiction where it's legal. He was driving 85 (the posted speed limit) in outside Austin but in Hawaii it's a misdemeanor to exceed 80 mph for any reason on any road strict liability; his PO asked him "jokingly" if he drove the speed limit while there and if he enjoyed the faster mainland speeds, he said "yes" unbeknownst to him he was being setup. His admission resulted in his probation being revoked for literally following the posted speed limit. Charlotte Wollstonecraft writes: The marginal prisoner in Massachusetts may be a much badder dude than the marginal prisoner in Louisiana. But here is anecdotal reason to believe he is not: Last week in New Orleans, there were three mass shootings. Two of them happened at the same second line in New Orleans East, 45 minutes apart. In two separate incidents, a gunman opened fire at a large outdoor gathering. In total, two people died, and ten were wounded. This is not national news. No arrests have been made. The third shooting took place in the French Quarter four days later. One of the three shooters was caught immediately. Turns out, he had already served seven years in prison for armed robbery. Last year, he was arrested again and charged with domestic battery, child endangerment, and possession of a firearm by a convicted felon. A plea deal got him out on parole, the terms of which he violated near daily according to his ankle monitor's logs. He was wearing the ankle monitor at the time he opened fire on a French Quarter street, wounding three people and killing another. I’m including this here as a counter to Peter’s story of the guy who got two years in jail for driving the speed limit. I hear so many outrageous stories of extreme strictness and so many outrageous stories of extreme laxity (see also this post) that I’m nervous about turning the dial one way or the other compared to trying to figure out what’s going on. 5: Comments That Say My Analysis Forgot Something Grant Gould writes: You allude to it twice but then pass over it "for simplicity": None of these studies measure within-prison crime, which is largely not counted, tracked, tried, or prosecuted. It is not only plausible but likely that "incapacitation" is at best simply relocation of crimes. And even _that_ is leaving aside the regular drumbeat of deeply sadistic crimes by guards, which are even less counted, tracked, tried, or prosecuted. The quality of statistics on crimes within prisons is very poor, of course; ttbomk it is not practically possible to know if the average prisoner commits crimes at a greater rate while incarcerated than while outside, or likewise the rate at which people in prison are crime victims versus those outside. If your value function is some sort of utilitarian sum over society, you have to count those, or else your utilitarianism is just gerrymandering people into and out of the boundaries of the utility summation (in which case you can optimize utility much more simply than by incarcerating; simple Schmittianism will do the job more easily, and it's free since you don't count the cost). I wrote this post to respond to debates (eg on California’s Prop 36) on whether prison is an effective way of decreasing the crime that normal people have to suffer in their neighborhoods. I think this is an important question that lots of people care about. Whether prisoners commit crimes against other prisoners is also important, but it’s a different question. I think people would justly distrust me if I pretended to be answering the question they cared about, but actually answered a different question. I (following Roodman) gave two conclusions in my cost-benefit analysis - one that counted the suffering by prisoners themselves, and one that didn’t. Since I think different people will have different intuitions on this, I think it was the right strategy. The one that counted the suffering of prisoners included a general estimate of willingness-to-pay for prison which I think includes the cost of intra-prison crimes. Either way, I think being exposed to intra-prison crimes is a small fraction of the badness of prison that doesn’t change that analysis much. I also don’t think it’s exactly right to say that incarceration only relocates (rather than prevents) crime. This may be true for murder and rape. But there aren’t a lot of things to steal in prison (not zero, but not as much as in the outside world) and the vast majority of crimes are property crimes. JBG writes: Some thoughts as a former defense attorney. On "after effects," skipping all the way to length of incarceration misses a lot of what's going on for first time offenders. As your own examples note, many of the problems making it harder to make an honest living accrue from being a felon as such, and not from jail time. I'll add on that merely being *arrested* triggers a similar cascade of consequences. Your average person will be fired from their job very quickly after arrest -- either because of the arrest itself or just because it leads to missing work. And an arrest on its own, without a conviction, is sufficient to make it hard to get hired on in a lot of jobs. But this is all specific to first-time offenders; going from someone presumed to be a law-abiding citizen to being a felon changes everything. An incremental felony after that doesn't change much. From your description, it seems like the studies are blurring this together? I'd be interested to see evidence focused specifically on first time offenders. My guess would be that there's a large, negative effect of your first felony (all else equal) but not much effect at all of subsequent felonies. In that case, there's a very different calculus for the incapacitation vs. recidivism tradeoff for different, identifiable groups. Undeserving Porcupine writes: Eugenic effects of 3-5x’ing the prison population? Makes it harder for these criminals to make more of themselves. Several people brought this up on Twitter. It deserves a full post response, but in case I don’t get around to making it - I think this is almost zero. I realize that’s a surprising claim, but compare the Nazi eugenics program against schizophrenics discussed here. They killed most of the schizophrenics in Germany, and schizophrenia is 80% genetic, yet the next generation had the same number of schizophrenics as ever, at least within the measurement margin of error. See the post for a longer explanation of this seemingly paradoxical result. Sebjenseb did a similar analysis and finds that if you execute the most criminal 1% of the population each generation, population level criminality decreases by about 0.1 standard deviation per 400 years. This is less trivial than I expected - it corresponds to a drop in the murder rate from 30 to 20 (possibly less for other crimes). But it's also a better case than our real scenario for a few reasons (police have 100% efficiency in arresting the worst criminals exactly in order; execution is better at preventing childbearing than prison). Maybe a real scenario is 33% decrease in crime rate per 600 years? Doesn't seem that relevant to me - even if we don’t get a singularity in the next few decades like I expect, we’ll probably get better genetic engineering or go multiplanetary (in which case founder effects will overwhelm everything else). Publius Obsequium writes: One thing Scott neglects is the beneficial effect prison has on kids of criminals (yes you read that right - look it up) Here is an article making this case and citing some corroborating studies. I would stress that there are also many (probably more) studies finding the opposite, and that I haven’t looked through any of the studies on either side to check whether they’re any good. Straphanger writes: This analysis ignores that punishment is a good in itself. The victims of crimes deserve retribution against the people who have wronged them. Some version of this was one of the most common comments, with opinions ranging from: I was a bad person for not focusing on the suffering of the prisoners in prison more, especially their potential victimization by prisoner-on-prisoner violence.
bulletin board

bulletin board is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 10, 2022 and May 10, 2022. The archive places it in contexts such as "and there’s a relevant thread on the bulletin board too". It most often appears alongside ACX, ACX Discord, Biden.

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  • 22 May 10, 2022
May 10, 2022 · Original source
Many of you remain skeptical of prediction markets. It was one of the top answers on the What Opinion Of Scott/ACX Do You Disagree With? question on the subreddit, and there’s a relevant thread on the bulletin board too. So I guess it’s time to trot out my semi-annual lecture on why I think prediction markets are good.
bumble bees

bumble bees is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 18, 2023 and August 18, 2023. The archive places it in contexts such as "bumble bees used to be called humble bees". It most often appears alongside Anil Seth, Astralcodexten Com, Being You.

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bumble bees
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August 18, 2023 · Original source
Sadly, this is not a review of a book called The Mind of a Crab Spider. But as you crab spider lovers know, crab spiders and bumble bees are natural rivals.
Both bees and crab spiders are well-matched for strength and speed, and in the Rumble with the Bumble, the crab spider doesn’t necessarily win. Bees can often evade the spider, and live to pollinate another day. Lars Chittka, who wrote The Mind of a Bee, and who can safely be blamed for this book review, got thinking. He and his lab decided to build fake robotic crab spiders, and had them really robotically attack bumble bees when they visited flowers.
The honeycombs we’re most familiar with are built specifically by honey bees - there are a lot of bee species (~20,000), and not all of them are social. Of the species that build honeycombs, not all of them build in the same way. For instance, honey bees build hexagonal cells, whereas bumble bees build round cells. But round cells waste more space in the hive, since round things do not tessellate.
Bundespräsident

Bundespräsident is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 13, 2022 and May 13, 2022. The archive places it in contexts such as "The closest thing is the mostly empty title "Bundespräsident"". It most often appears alongside Are We Smart Enough To Know How Smart Animals Are?, Astralcodexten, attention.

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Bundespräsident
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May 13, 2022 · Original source
Switzerland is an egalitarian society. It doesn't have a capital city because the Swiss didn't want to single out a city. Bern is the seat of government, close enough. Switzerland also doesn't have a head of state like the Queen, which is slightly awkward since the country can't make official state visits. (But the Swiss prefer anyway not to interact too much with other countries. They pondered 50 years before joining the UNO in 2002.) Switzerland also doesn't have a head of government. The closest thing is the mostly empty title "Bundespräsident", which rotates annually among the members of government. The title always goes to the member who hasn't held it for the longest time. (There are tie-breaking rules in case several members of the government never had it.) But the Bundespräsident doesn't really have additional power.
bupropion

bupropion is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 25, 2021 and May 25, 2021. The archive places it in contexts such as "Consider taking antidepressants like ... bupropion". It most often appears alongside 2002 meta-analysis by Cochrane Collaboration, 5-HTP, 5-HTP.

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bupropion
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May 25, 2021 · Original source
The short version: Depression has a combination of biological, psychological, and social causes. You can address the social causes by changing your life circumstances (and research suggests people underestimate the potential benefits of making major life changes). You can address the psychological causes with therapy; possible therapies are diverse and complicated but I especially recommend “behavioral activation” therapy (where you try to keep a schedule and also do new, interesting things) and David Burns’ book Feeling Good. You can address the biological causes with a combination of lifestyle changes, medications, and supplements. Consider exercising more and adapting a modified Mediterranean diet. Consider taking antidepressants like escitalopram and bupropion, and supplements like l-methylfolate. Other non-chemical biological options include light therapy (safe and easy), transcranial magnetic stimulation (more complicated), and electroconvulsive therapy (difficult but extremely effective last-ditch solution). If something treats your depression, continue it for some length of time depending on the type of intervention, then consider withdrawing it to see if you can maintain your mood without it.
Most patients will want either escitalopram or bupropion as first-line treatment. These medications are easy to use and have fewer side effects than most others.
Advantages of bupropion: it gives you more energy and makes it easier to do things. It sometimes makes you lose weight. Disadvantages of bupropion: it sometimes makes anxiety worse, although some studies have challenged this. It can sometimes stimulate you too much and make it hard to sleep.
bupropion-dextromethorphan

bupropion-dextromethorphan is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 20, 2021 and August 20, 2021. The archive places it in contexts such as "Axome had a drug, bupropion-dextromethorphan, which had done well in their phase 3 trials". It most often appears alongside ACT/SSC, aducanumab, aducanumab.

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August 20, 2021 · Original source
You see, Axsome thought they were in a good place, as did the stock market. Axome had a drug, bupropion-dextromethorphan, which had done well in their phase 3 trials for major depressive disorder. The next step after that is to submit the drug for approval to the FDA, which, when there are such clear indications of improvement, is usually a layup. An annoying layup, filled with lots of paperwork, but a layup.
Bupropion-dextromethorphan is an interesting case, because both bupropion and dextromethorphan alone are FDA-approved medications (bupropion as an antidepressant, DXM as a cough syrup). Then someone (maybe Axsome) did some preliminary studies suggesting that both of them together worked much better for depression than bupropion alone.
Burgundian

Burgundian is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 01, 2025 and August 01, 2025. The archive places it in contexts such as "attack Paris and take the capital, go to Normandy to harass... move against the Burgundian capital"; "move against the Burgundian capital to break the alliance". It most often appears alongside Africa, Agamemnon, Age of Empires II.

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Burgundian
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August 01, 2025 · Original source
But all these accomplishments had been won by the power of the Kingdom of France, which during the pause in the Hundred Years' War had cheerfully spent men and treasure conquering and protecting these lands for the Burgundians, allowing them to spend their treasure on paintings and sculptures and dance manuals. The Kingdom of France had done this not by the will of the King of France (Charles VI, Philip the Fortunate's grandson), who at that time was seriously mentally ill21 and who the year before his regency started had murdered several people in a paranoid fit and afterwards took to believing that he was made of glass and would shatter if he fell, but through the decision of his regent, one Philip the Bold, Duke of Burgundy.
Naturally, Philip had opponents at court who objected to his abuse of the treasury for his private purposes. They wanted to abuse the treasury for their private purposes, and it simply wasn't fair that Uncle Philip got to monopolize it all! The head of this party was Philip the Bold's nephew and Charles the Mad's brother, Louis of Orleans, but for some bizarre reason his party was called the Armagnacs.22 Louis took advantage of a moment of lucidity on his brother's part to get the regency, but was dismissed for corruption23 and then when he continued to cross the Burgundians, murdered - but he had a son who inherited the blood feud and the two sides took advantage of the long truce in the war with England to go at it hammer and tongs, riots alternating with coups interspersed with outright field battles. Commoners and nobles alike rallied to one side or the other, and loyal Frenchmen could consider either faction to be the lesser evil. When Henry V invaded, the Armagnacs had happened to be in control of the government, and so their leaders had been at the battle of Agincourt and few escaped. The Burgundians were faced with a foreign invasion on the one hand and domestic strife on the other, so John the Fearless, then Duke of Burgundy, offered the Armagnacs an end to the feud and an alliance against the English, conditional on the Armagnacs yielding the regency to the Burgundian faction. The Armagnacs agreed. The two sides met to discuss terms, and then - with Henry V and his army rampaging around Normandy, taking towns at will! - the chiefs of the Armagnac faction had John the Fearless murdered in retaliation for Louis's earlier murder.
This was an act that made no political sense, an act that could only really be justified by blood vengeance, and the Burgundians, understandably, snapped. They held Paris by that point and with it physical control of the King and the Queen, and there was an army that had just taken Rouen that was available to their service if they had the wit to use it.
Burgundians

Burgundians is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 01, 2025 and August 01, 2025. The archive places it in contexts such as "Asked if the people of Domrémy sided with the Burgundians or the other party"; "Burgundian-Armagnac feud put on pause". It most often appears alongside Africa, Agamemnon, Age of Empires II.

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August 01, 2025 · Original source
But all these accomplishments had been won by the power of the Kingdom of France, which during the pause in the Hundred Years' War had cheerfully spent men and treasure conquering and protecting these lands for the Burgundians, allowing them to spend their treasure on paintings and sculptures and dance manuals. The Kingdom of France had done this not by the will of the King of France (Charles VI, Philip the Fortunate's grandson), who at that time was seriously mentally ill21 and who the year before his regency started had murdered several people in a paranoid fit and afterwards took to believing that he was made of glass and would shatter if he fell, but through the decision of his regent, one Philip the Bold, Duke of Burgundy.
Naturally, Philip had opponents at court who objected to his abuse of the treasury for his private purposes. They wanted to abuse the treasury for their private purposes, and it simply wasn't fair that Uncle Philip got to monopolize it all! The head of this party was Philip the Bold's nephew and Charles the Mad's brother, Louis of Orleans, but for some bizarre reason his party was called the Armagnacs.22 Louis took advantage of a moment of lucidity on his brother's part to get the regency, but was dismissed for corruption23 and then when he continued to cross the Burgundians, murdered - but he had a son who inherited the blood feud and the two sides took advantage of the long truce in the war with England to go at it hammer and tongs, riots alternating with coups interspersed with outright field battles. Commoners and nobles alike rallied to one side or the other, and loyal Frenchmen could consider either faction to be the lesser evil. When Henry V invaded, the Armagnacs had happened to be in control of the government, and so their leaders had been at the battle of Agincourt and few escaped. The Burgundians were faced with a foreign invasion on the one hand and domestic strife on the other, so John the Fearless, then Duke of Burgundy, offered the Armagnacs an end to the feud and an alliance against the English, conditional on the Armagnacs yielding the regency to the Burgundian faction. The Armagnacs agreed. The two sides met to discuss terms, and then - with Henry V and his army rampaging around Normandy, taking towns at will! - the chiefs of the Armagnac faction had John the Fearless murdered in retaliation for Louis's earlier murder.
This was an act that made no political sense, an act that could only really be justified by blood vengeance, and the Burgundians, understandably, snapped. They held Paris by that point and with it physical control of the King and the Queen, and there was an army that had just taken Rouen that was available to their service if they had the wit to use it.
burning American flag

burning American flag is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 01, 2024 and May 01, 2024. The archive places it in contexts such as "pictures of Ayatollah Khomeini and a burning American flag in a cubicle". It most often appears alongside #MeToo, #StopAAPIHate, #StopAAPIHate.

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burning American flag
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May 01, 2024 · Original source
Therefore, every business owner needs to monitor their employees for jokes, political comments, flirtatiousness, and take action against any offenses. Hanania has several complaints here. First and most legibly, it (say it with me) gets taken too far. Volokh lists a large number of [examples of things that have been found to be] evidence of a hostile work environment: signs with the phrase “men working”; “draftsman” and “foreman” as job titles, pictures of Ayatollah Khomeini and a burning American flag in a cubicle; an ad campaign using samurai, kabuki, and sumo wrestling to refer to Japanese competition; jokes of a sexual nature not targeted at any particular person; misogynistic rap music […] even terms like “great view” and “walk-up” have been cited as potentially trying to exclude blind people and those in wheelchairs. And In a 2015 and 2016, a black father and son named Owen Diaz and Demetric Di-az2 [sic] worked at a Tesla plant. They sued the company for racial discrimination, with the father’s claims alone making it to trial….racial slurs were used in the presence of Diaz, and he saw racist graffiti on a bathroom wall. It appears that the workers allegedly responsible were mostly or all minorities themselves, and each time an allegation could be verified, the employee was punished. Tesla claimed that they had taken enough steps to address the concerns of Diaz […] a jury disagreed, and awarded the plaintiff $137 million, an amount that the judge reduced to $15 million. In response to the verdict, Tesla released a statement pointing out that witnesses confirmed that the slurs were used in a friendly manner, usually by African-American employees, and without hostile intent. (fact check: this article says the racism also included demands to “go back to Africa” people leaving drawings of caricatured black cavemen at the employee’s desk, threats, and claims that black employees were "given the most menial and physically demanding work" - and that these claims were backed up by testimony from two dozen former workers and a cellphone video showing people telling a black employee that they are going to “cut you up, n—-r”. This seems like a sufficiently different story that I’d like to know whether Hanania still stands by his version) Other parts of harassment law lead to more unfair double-binds. For example, you can’t be seen to “retaliate” against someone who accuses another worker of harassment. So suppose that a minority employee is bullying a white employee, the white employee resists, and the minority accuses them as “harassment”. Maybe there’s even a full trial, everyone agrees this is what happened, and the white employee is found totally innocent. Still, you can’t fire the bully, because that would be retaliation for a harassment complaint. And since you probably don’t want the bully and their victim in the same department, you need to move one of them. And you can’t move the bully, because that would be viewed as “retaliation” for the harassment complaint and they could sue you for millions of dollars. So you have to punish the victim. But Hanania doesn’t just say this kind of thing goes too far. He has some broader point that I have trouble interpreting - basically that corporations used to be cozy, chummy places full of banter and flirtation that everyone enjoyed, and now this has been universally replaced with the bland soul-draining bureaucratic corporate aesthetic satirized in works like Office Space. Is this true? People talk about Mad Men (I’ve never seen it) as reflecting some kind of corporate golden age where at least high-ranking men enjoyed their jobs. If so, did it change because of harassment law? Or because neoliberalism replaced the work-for-thirty-years-and-get-a-golden-watch corporation with the work-for-three-years-and-then-seek-a-better-job-elsewhere corporation? Still, Hanania really hammers in this point that we should apparently all be angry about the loss of corporate flirtation - he calls the current regime, “a sexless, androgynous, and sanitized workplace” which is “contrary to human nature [and] miserable”. Without civil rights law, we could have “organizations that combined the aspects of a church, a social club, a matchmaking service, and a traditional business.” In such a world: Some corporations start encouraging dating and forming close personal bonds among their employees. This can take many forms, from Christian matchmaking to promoting a party-like atmosphere. These pro-relationship corporations will come in conservative or liberal forms. Other firms explicitly market themselves as providing a more “professional” or “classic” work experience . . . we will see a period of wild experimentation, with some forms of corporate organization drawing a great deal of media coverage. People will criticize many of these experiments, and they will become the subject of public outrage. After civil rights law has been defanged, however, government no longer has the ability to easily shut such efforts down. Eventually, public anger subsides, and the idea of the media attacking a firm because it dislikes its internal culture will seem as intolerant as attacking a religious community for its doctrines, or homosexuals for what they do together as consenting adults. I appreciate my anti-civil-rights books doubling as interesting settings for pornographic stories, but I’m otherwise unable to fathom the level of Hanania’s enthusiasm here. …And More Richard Hanania hates all this stuff. Partly he hates it because he thinks it’s unfair and anti-business and anti-merit. But also, Vaclav Havel talks about the indignity of life under communism. You weren’t allowed to just do your job and pay your taxes and follow the laws of the communist state. You had to be actively complicit. You had to act enthusiastic about the communism, force it upon others, inform on your colleagues and punish deviation - at least if anybody was going to check later. This kind of communism didn’t just hurt your pocketbook. It damaged your soul. It molded you into a worse and uglier type of person who would eventually abandon their better impulses in order to justify their actions to themselves. This is how Hanania thinks of civil rights law. Business owners can’t just give blacks ten extra points on the screening test and call it a day. They have to favor blacks while insisting to everyone that they don’t do this and it’s perfectly fair and they love civil rights law. They have to twist their employment criteria into some kind of illegible monstrosity so nobody can notice all the favoritism they’re doing, then tell everybody that they believe the monstrosity is “fairer”. They have to hire a bunch of diversity coordinators - not because they’re required to hire diversity coordinators, it’s not a requirement - but because they love equality so so much (and if they don’t do this, they’ll get sued for seemingly unrelated reasons). Everyone faces a constant threat of lawsuits which can only be warded against by seeming maximally woke and maximally enthusiastic and maximally happy about all the idiotic fake laws you are being forced to comply with. Like in communism, you have to become your own mini-police state. You have to make employees snitch on each other if they tell the wrong joke. You have to turn your company into a tyranny of HR ladies. If you do any of this even a little less than other companies, you’ll get sued for seemingly unrelated reasons, with penalties running potentially into the hundreds of millions of dollars. Because there’s no legible law except “be the same as everyone else so you don’t stand out as sue-able”, every corporation homogenizes into the same bland HR-ocracy. Everyone agrees on the same hiring process, which is to prioritize college degree, resume, and interview, and definitely not any test or measure of ability. This leads inevitably to our current society, where everyone has to waste their childhood doing meaningless extracurriculars so they can get into the best college so they can take the best internships so they get the best jobs. (unless they do something stupid like let themselves get the dreaded “resume gap”). But also: During the early 1800s, government positions were given out by the “spoils system”, basically “does the party in power like you personally?” In the 1880s, after President Garfield was assassinated by a guy who didn’t get a good enough position, they switched to a formal civil service, based on test performance and merit. The US civil service became the envy of the world, attracted some of the smartest people in the country, and obviously worked better than the old system wherever it was possible to compare. Still, this gradually (and somewhat deniably) ended in the 1970s, because the merit-based hiring system seemed like disparate impact. Hanania calls the current era “the racial spoils system”, where positions in the bureaucracy are based on the same kind of illegible morass as everything else (eg the FAA’s “biographical questionnaire”). He says every branch of government has become less effective as a result. Hanania doesn’t mention this, but I’ve heard an additional argument elsewhere. It’s legally dangerous for companies to hire based on anything like merit. Still, if you have great lawyers and are willing to pay a lot to settle lawsuits, you can get away with legally dangerous things. This is only worth it if you really really want high-merit employees, ie if the best employee is much more financially valuable to you than the second-best. This is mostly true in Wall Street (where you want your trader to outsmart the other guy’s trader by half a millisecond or whatever) and Silicon Valley (where ten employees can write a program used by millions of people). So the government, the civil service, the schools, etc, all abandoned merit-based hiring, while Wall Street and Silicon Valley lawyered up. But that means that if you’re a smart non-minority college graduate, you know that joining the civil service will be a mess - you’ll have a tough time even getting in, and you’ll always be passed over for promotions for less-qualified minorities. Meantime, Wall Street and Silicon Valley would love to have you. So all the smart people got concentrated in a few industries that might not have been their most economically productive use, and the old American tradition where elite families would send some of their kids into public service died out. What To Do? Hanania stresses that most Americans hate affirmative action (and probably by extension most other civil rights law, though they’ve probably never heard of disparate impact). Affirmative action has been on the ballot nine times, and failed eight of those. Most recently, it failed in California, a deep-blue, 66% minority state where the pro-AA side outspent opponents 17-to-1. Also, Republicans have controlled all the branches of government many times in the past fifty years, and now they control the Supreme Court. Most civil rights law is based on executive orders and judicial decisions, so you wouldn’t even need a Congressional vote to overturn it. Just an executive order, from any president who felt like it. Reagan could have overturned half of this with the stroke of a pen, if he’d wanted. So how has it survived this long? His answer: because until about 2010, Republicans were too scared of getting called racist. Reagan wanted to overturn affirmative action, but other Republicans (like Bob Dole) begged him not to, because racism, and eventually he caved. But since 2010, everyone has already been calling Republicans racist all the time, to the point where probably this threat has lost its power. And the sort of moderate Republicans who reined in Reagan are gone. So why haven’t Republicans (eg Trump) acted? Hanania thinks everyone is so obsessed with “woke” culture war stuff that the low-hanging fruit of actual woke laws that presidents can change has slipped under the radar. And so, this book. I would have summarized the case as “Hey, Republicans! Do you hate wokeness? Well, too bad, it’s a vast cultural movement with bastions in a bunch of places where we have no power. But some of this civil rights law stuff seems pretty related to wokeness, and we do potentially have power there. So instead of fighting the unwinnable cultural battle, how about we fight the very winnable policy one?” But maybe this didn’t seem optimistic enough for Hanania, so he framed it as “the legal wokeness is the source of the cultural wokeness” instead. More on this later. The Origins Of . . . Inequality A progressive, reading this book, might counter: “Sure, civil rights law - like all law - is poorly written and kludgy in parts. Like all law, it sometimes gets abused or taken too far. Those are the costs. But the benefits are that it fights discrimination and inequality. That’s very important! Don’t you think those benefits are worth the cost?” Unless I missed it, Hanania doesn’t touch this obvious counterargument. He briefly says that in a free market, companies couldn’t consistently maintain discrimination, because that would be leaving money on the ground. “Cool theoretical result,” objects the hypothetical opponent. “But white households earn an average of $80K and black households an average of $50K, and so on with other minority groups. So it sure seems like something inequality-related is going on.” My tongue-in-cheek reframing of Hanania’s summary of civil rights law went: We notice your workforce is less black than the applicant pool.
bus

bus is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 25, 2021 and August 25, 2021. The archive places it in contexts such as "average 20 mile bus trip is a commute". It most often appears alongside AP News, Associated Press, Bitcoin.

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bus
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1
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1
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August 25, 2021
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August 25, 2021
August 25, 2021 · Original source
...up-trucks-says-edmunds-insidelinecom.html 10. https://iopscience.iop.org/article/10.1088/1748-9326/4/2/024008/pdf . I'm using their on-peak time because I'm assuming the average 20 mile bus trip is a commute. The paper claims that under some reasonable ways of thinking about things, taking the bus off-peak is actually more polluting than taking a car, because we're imagining...
Bush-era nationalism

Bush-era nationalism is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 15, 2022 and July 15, 2022. The archive places it in contexts such as "in a complete reversal of their Bush-era nationalism". It most often appears alongside 2012, Adam Smith, As I Lay Dying.

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Bush-era nationalism
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1
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1
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July 15, 2022
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July 15, 2022
July 15, 2022 · Original source
And who took the side of national loyalty in 2016? Clinton’s nomination drowned in the US flag and other patriotic regalia, while Trump was cast as essentially a Russian spy, an enemy of the state, an infiltrator. And, as if to rub Haidt’s face in it, he was supposed to be in hock to the Russians (putting liberals on the side of loyalty) because of some alleged candid photos of him getting urinated on by prostitutes, or something (putting liberals firmly on the side of sanctity). Many conservatives ended up lionising Russia as superior to the USA (or at least many aspects of the USA), in a complete reversal of their Bush-era nationalism and in rejection of the whole cold war framing (though this has understandably got a little quieter in many quarters as of 2022).
business cycle

business cycle is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 19, 2022 and August 19, 2022. The archive places it in contexts such as "business cycle is one especially well-established example". It most often appears alongside 00s, 70s, 80s.

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business cycle
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1
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1
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August 19, 2022
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August 19, 2022
August 19, 2022 · Original source
What about the stronger claim - that no (non-calendar-based) cycles exist? I think this is clearly false if you allow cycles like the above - in which case the business cycle is one especially well-established example. But if you mean a cycle that follows a nice sine wave pattern and is pretty predictable, I have trouble thinking of good counterexamples.
BusyBeaver(100)

BusyBeaver(100) is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 20, 2025 and February 20, 2025. The archive places it in contexts such as "her program was calculating BusyBeaver(100)". It most often appears alongside AI corrigibility, AI lab, AI Safety.

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BusyBeaver(100)
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1
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1
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February 20, 2025
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February 20, 2025
February 20, 2025 · Original source
St. Joanne of ARC had a resume so beautiful that Sam Altman, Demis Hassabis, and Elon Musk all sought her hand as employee. They became increasingly insistent that she choose one of them, and refused to take ‘no’ as an answer. She asked Paul Christiano what to do, and on his advice she called the three men together and said “I will make my decision once my simple twenty-line program finishes running”. After they agreed, she revealed that her program was calculating BusyBeaver(100), and they all admitted they were unworthy of her. She cut her hair, gave her jewelry to the poor, and joined the Alignment Research Center, where she discovered many important theorems. Some say Jane Street is named after her, although others attribute it to a St. Jane of Manhattan who is otherwise unrecorded.
Buta

Buta is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 15, 2025 and July 15, 2025. The archive places it in contexts such as "I may call all Butas “sister”". It most often appears alongside Aboriginal, Aboriginal Australia, Aboriginal society.

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Buta
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1
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1
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July 15, 2025
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July 15, 2025
July 15, 2025 · Original source
Suppose I, a man, am Kumbo. Then all of my brothers are also Kumbo, and all of my sisters are Buta, the female counterpart of Kumbo. My father and his brothers are Kubbi, and their sisters are Kapota. I may only marry a Mata woman, and our sons will be Kubbi.
Further, everyone of the same section is . . . sort of the same person? My father’s brothers, who are Kubbi like him, are also sort of my fathers. If I visit a far-off tribe, the Kubbis there will behave paternally to me, and I owe them some measure of filial respect. Likewise, I may call all Butas “sister”, and all Ippata “mom”. I can never have sex with any Buta or Ippata - that would be incest.
The Ganabuda women encountered Crow Man, who proceeded to have sexual intercourse with a young potential mother-in-law, as well as a classificatory mother’s mother [ie someone from the mother’s mother’s section; for a Kumbo, a Buta]. His mega-penis inflicted severe injury upon them, and they died. The Ganabuda women then killed the Crow Man.
Butlerian Jihad

Butlerian Jihad is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 13, 2022 and August 13, 2022. The archive places it in contexts such as "the greatest historic risk humanity has faced was the crisis that drove the prohibitions of the Butlerian Jihad". It most often appears alongside ACX, AI, ancient Greeks.

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Butlerian Jihad
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1
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1
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August 13, 2022
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August 13, 2022
August 13, 2022 · Original source
To talk in detail about Leto’s goals, it’s necessary to talk generally about his fears. Those fears are for the most part robotic in nature. What alien life exists in the Herbert universe is broadly man-made, and the greatest historic risk humanity has faced was the crisis that drove the prohibitions of the Butlerian Jihad.
butterfly

butterfly is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 12, 2025 and September 12, 2025. The archive places it in contexts such as "a butterfly can retain memories of its life as a caterpillar". It most often appears alongside A Change of Heart, Abraham, Adams.

Reference entry
butterfly
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1
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1
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September 12, 2025
Last seen
September 12, 2025
September 12, 2025 · Original source
There’s a more dramatic example of large-scale synaptic weight destruction in nature whose phenomenology parallels that finding. In the process of becoming a butterfly, a caterpillar’s entire body—including its brain—undergoes major structural changes. These changes involve a vast array of synapses being pruned, remodeled, and generally reorganized. And despite all of this, it seems like it’s at least possible that a butterfly can retain memories of its life as a caterpillar. More generally, this seems to be true of holometabolous insects, which have distinct larval and adult stages.
Butterfly Effect

Butterfly Effect is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 02, 2021 and August 02, 2021. The archive places it in contexts such as "Butterfly Effect". It most often appears alongside AgroAlpha, Alex Tabarrok, Amazon.

Reference entry
Butterfly Effect
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1
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1
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August 02, 2021
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August 02, 2021
  • 21 August 02, 2021
August 02, 2021 · Original source
(source) The Honduran news sources covering Orquidea focus on an argument about whether it is trying to expropriate land: they say they’re not, the people who live near them say they are. I can’t follow the poorly-translated Spanish well enough to have an opinion about this, but my much deeper dive into the Prospera situation makes me think it would be hard for them to do this even if they wanted to (which they deny). Also, the surrounding community has accused them of: …violence against defenders of the land, human trafficking, discrimination, sexual exploitation, exploitation of people of sexual diversity, lack of recognition of labor rights and curtailment of the rights of the family and children such as education and health …which is a pretty impressive list of misdeeds for a polity which has only existed for a couple of weeks. My guess is this is the thing where they pre-emptively accuse ZEDEs of every bad thing that has ever happened, just because it seems like the sorts of thing they might do. But I guess we’ll find out - they supposedly have given people a “40 day ultimatum” to leave their land (they deny having given this ultimatum), so I’ll check back in forty days and see what’s happened. Butterfly Effect Unlike Orquidea, Mariposa (Spanish for “butterfly”) has a beautiful website. They have a list of all the noble important principles they espouse, and all the human rights they’re going to focus on respecting. Your white paper says “model city”, but your branding says “birth control pill”. When you look at the small print, they “are still working on our master plan to be presented to the Honduran Government in the near future”, ie they haven’t gotten any kind of official go-ahead and are only in the “cool idea” phase right now. Still, let’s take a look. Mariposa’s core values include: Polycentric governance, seemingly inspired by cryptocurrency.
Byzantine art

Byzantine art is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 04, 2021 and October 04, 2021. The archive places it in contexts such as "with the exception of the Frankish court and some Byzantine art". It most often appears alongside 19th century African art, 20th century, 9-11.

Reference entry
Byzantine art
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1
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1
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October 04, 2021
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October 04, 2021
October 04, 2021 · Original source
- The representational art of Western Europe, starting with Constantine, and throughout the Middle Ages (with the exception of the Frankish court and some Byzantine art), up until nearly 1300 AD, seems to have been very deliberately bad, and in many times and places it was banned entirely. This was probably due to Christianity and Islam both having a horror of the misleading power of representational art (which fear came straight out of Plato). Note much medieval art was also Cubist.
Byzantine Empire

Byzantine Empire is a recurring concept in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 24, 2024 and September 24, 2024. The archive places it in contexts such as "the Byzantine Empire also counted". It most often appears alongside A Collection Of Unmitigated Pedantry, ACOU, ACOUP.

Reference entry
Byzantine Empire
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1
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1
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September 24, 2024
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September 24, 2024
September 24, 2024 · Original source
There’s a Twitter meme on how men constantly think about the Roman Empire. Some feminist friends objected that women think about Rome a lot too. To settle the matter, I included a question about this on this year’s ACX survey, “Have you thought about the Roman Empire in the past 24 hours?” (the Byzantine Empire also counted). Here are responses from 607 cis women and 4,925 cis men: