Organizations: C

Groups, collectives, magazines, venues, and institutions operating inside the scene. This section collects the C 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.

Congress

Congress is a recurring organization in the Astral Codex Ten archive, appearing 48 times across 48 issues between February 20, 2021 and March 18, 2026. The archive places it in contexts such as "I’ve covered Congress for almost 20 years"; "President Hammond goes before Congress, asking for $4 billion... Congress is pretty on board... Congress still wants impeachment"; "about one second after Congress passed the law saying the FDA could ban things". It most often appears alongside US, United States, Trump.

Article page
Congress
Mention count
48
Issue count
48
First seen
February 20, 2021
Last seen
March 18, 2026
February 20, 2021 · Original source
I’ve covered Congress for almost 20 years. The place is littered with proposals to construct universal pre-K and reimagine the health system, to decarbonize the US economy and incentivize drug development through prizes and solve the housing crisis. They just don’t pass. It’s become a running joke in Washington that every week is “infrastructure week.” But we’re not rebuilding American infrastructure.
I'm not sure how Klein thinks of this. Maybe he would say that vetocracy is getting worse everywhere, but that partisan polarization turns potential veto points into actual veto points. That is, the filibuster has always been a potential problem. But Congress was able to get by with it for decades, because everyone was polite and cooperative and didn't want to screw things up too badly. Once polarization created irresistable pressure for politicians to use every weapon at their disposal, the filibuster went from a potential problem to an actual problem.
February 20, 2021 · Original source
The next day, President Hammond goes before Congress, asking for $4 billion to create his new Army Of Public Works. But his rich friends and advisors have gotten there first, and proposed impeachment: the President has clearly gone mad. Congress is pretty on board, because they're all scared of anybody less rich and corrupt than they are. But Hammond comes in, gives a stirring speech on American history and George Washington and so on, and...nope, Congress still wants impeachment. So President Hammond suggests that they “read the Constitution”, which states that the President can declare martial law. Congress is aghast - this is a violation of democratic principles! But (asks Hammond) is it really? Isn't it even more of a violation of democratic principles that the President - a good man, a man elected by the people to fight for their rights - can be stymied by a bunch of corrupt rich people who don't care about the people at all? Isn't that the real violation of the Constitution going on here? Makes you think!
Having declared martial law and solved the unemployment crisis, President Hammond moves on to the gang crisis. He strong-arms Congress into repealing Prohibition, but we cut to a scene of gangsters laughing and gloating because it will take years to get the states to sign on, and during that time they can continue killing and robbing whoever they want.
March 02, 2021 · Original source
DNP is that rarest of birds: a weight-loss pill which really works, no diet or exercise required. About 100,000 people used it in the mid-1930s. On average, they lost about 2 to 5 pounds per week, for however many weeks they wanted to keep losing it. The formula stayed popular until it was banned by the FDA in 1938, about one second after Congress passed the law saying the FDA could ban things.
April 08, 2021 · Original source
Professors sense that Congress is unlikely to make welfare-maximizing copyright law. (Publishers can hire better lobbyists than they can.) This lets them frame their norms as principled subversion. I’m not sure if it’s particularly relevant though – if copyright law was welfare-maximizing overall, but not for the professors, I think the hypothesis would still predict them to develop their own norms. But thinking back to the stuff on symbolism, maybe “being able to frame your actions as principled subversion” is a component of welfare.
Is Congress close-knit? Has that changed recently? Is it a good thing for it to be close-knit? (Remember, norms maximizing the welfare of congresspeople don’t necessarily maximize the welfare of citizens.)
April 14, 2021 · Original source
Próspera says they are “guaranteed by international treaty”. The particular treaty involved is the Honduras-Kuwait Treaty For Reciprocal Investment (link in Spanish), in which I think Honduras tells Kuwait that they should feel comfortable investing in ZEDEs because Honduras promises not to get rid of them for 50 years. I don’t have anywhere near the understanding of international law I would need to know if this is actually binding. Could a future ZEDE-hostile Honduran Congress repeal this treaty? Would that damage their international reputation? Precipitate the Great Honduras-Kuwait War Of 2036?
Lobo's party controlled Congress and got a charter city law passed. After this the story gets kind of murky. Paul Romer's version was that they appointed him head of a Transparency Committee to make sure that whatever happened was in the best interests of Honduras, then started negotiating with a company called MKG Group without telling him. Upset at the opacity, and also at the negotiations themselves (he preferred having a foreign country administer the zones, not a private corporation), he resigned in protest. Honduras' version is that Romer was never appointed head of anything and there was no Transparency Committee.
This became part of a broader conflict in Honduran politics, which came to a head after the Supreme Court struck down a major police reform bill. Congress fired the four anti-government Supreme Court justices and replaced them with pro-government ones; opinions on the constitutionality of the move range from unclear to extremely skeptical. There was a big crisis for a while, various factions accused various other factions of plotting coups, but the government made it through. Three years later, they tried again with a ZEDE law, this one slightly amended to make it clear that the areas were still ultimately under Honduran sovereignty. The new packed-with-government-supporters Supreme Court pronounced it okay, and the law passed with the support of 78% (!) of Congress. They dismissed the old CAMP members and replaced them with people apparently inoffensive enough that nobody’s reported on who they are (I think one of them might be this guy).
May 18, 2021 · Original source
Some commenters got into a subthread about a claim that transgender advocates wanted to rename “Mother’s Day” to “Birthing Person’s Day”, with the predictable response that nobody really wanted to do that and it was a fake conservative talking point / hyperbole / satire / attempt to scare people. Someone else pointed out that a Congresswoman was now using “birthing person” instead of “mother” and this seemed non-fake and non-nutpicking, and someone else pointed out that using “birthing person” was different from demanding other people use it, or changing the name of an entire holiday. At this point we got this comment by trebuchet which I want to quote:
One week ago, I might have said "next thing you know, Congresspeople will be saying 'birthing people' in their official communications instead of 'mothers'" and you would have told me it was ridiculous, no one would ever do such a thing, that's just crazy right-wingers being paranoid. And you would have believed what you were saying, too.
September 14, 2021 · Original source
For thirty years, since its independence, India had been a socialist state. Not the cool kind of socialist where you hold May Day parades and build ten zillion steel mills. The boring kind of socialist where the government makes you get lots of permits, then taxes you really heavily, and nothing really ever gets done. "Even today the Representation of the People Act requires all Indian political parties to pledge allegiance not only to the Constitution but also to socialism." The RSS and its collection of associated right-wing nationalist parties supported Hindu nationalism plus socialism. Their arch-enemy, the center-left-to-confused-mishmash Congress Party, supported secularism plus socialism. Non-socialism was off the table.
The Congress Party ruled India essentially as a socialist one-party state from its independence in 1947 to 1977, and then again with brief interruptions until 1996. To hear Modi tell it, they're the essence of everything corrupt, cronyist, colonialist, dynastic, and dictatorial.
Modi accuses the Congress Party of being the descendants of those Indians who did well under British colonialism, liked British colonialism a little too much, and basically Europeanized - including a European-style semi-racist contempt for ordinary Indians. They're the kind of people who would happily force-sterilize eight milion of their countrymen because Western powers called India "backwards" for having too high population growth. The sort of people who would declare an Emergency dictatorship, happily kill or imprison hundreds of thousands of Indians without moral compunction, then immediately back down when Western media said they looked bad. They dominate the media, academia, and NGOs (all of which Modi accuses of being sycophantic and complicit in Emergency atrocities and everything else bad that Congress has ever done, while coming up with ways to make the most neutral actions by Congress' opponents look like dastardly acts of villainy). Their policies, insofar as they have any, involve whatever forms of socialism don't really help the poor but do ensure that anything that anyone wants to do requires permission from elites first, eg the "License Raj". According to Modi, the Congress Party hates the average Indian and the average Indian hates them right back. They survived as a democratic party by preventing any real opposition from forming, plus using their media connections to spread fear and division among people, plus occasionally just declaring martial law and imprisoning anyone they didn't like.
November 04, 2021 · Original source
How do we prevent it from happening here? The key to Orban’s power was getting a 2/3 majority in Parliament and unlocking the ability to amend the Constitution. The American equivalent would require 2/3 majorities in both houses of Congress, which seems hard to do in these polarized days (though LBJ managed it, briefly). Just don’t let anybody get caught on tape saying they “lie morning, noon, and night”, I guess. I also have to recommend banning court-packing, by Constitutional amendment if necessary. I can’t stress enough how many descents into dictatorship go through something like that, and how much it’s a gaping security hole in our current system.
November 11, 2021 · Original source
Here in Argentina, our Congress has served unbroken since 01854, 167 years, despite coups installing dictators in 01930, 01943, 01955, 01962, 01966, 01971, and 01976, plus Perón taking Orban-style measures to consolidate his power to such a frightening degree during his first period of rule (01946-01958, during which he changed the constitution to permit his re-election) that in the 38 years since the restoration of democracy in 01983, the party Perón founded has ruled for 27 years, and other parties only 11 years.
And yeah, it’s really bad that the US can’t do anything in less than six months and often doesn’t do it at all. A Congress that can pass important legislation in a few hours feels like a dream. To some degree there’s a tradeoff: if it’s hard to do anything, then it’s hard to oppress people; if it’s easy to do stuff, some of the stuff that gets done is bad. I don’t think we’re at the right point in that tradeoff right now and maybe removing a couple of checks and balances, like the filibuster, could be net good (or maybe it wouldn’t be, I’m not sure). But if you remove every single one of them and the leader can pass laws in ten minutes, then I think it’s fair to worry that you’ve lost some important aspect of liberalism.
Maybe the difference is that it feels potentially anti-Semitic? But the same week I wrote my post, Congress was interrogating the Facebook whistleblower about what’s basically an accusation that a manipulative Jewish billionaire is responsible for all the political opinions we dislike, in a way contradicted by all the evidence. I think billionaires with political influence, Jewish or not, seem to be unpopular everywhere.
February 01, 2022 · Original source
While I agree things don’t look good for the Democrats, 95% chance they lose both houses of Congress implies 97.5% chance of losing each house, which seems too high. I’m smashing the BUY button as hard as I can on “at least one country will fail to get to 10% vaccination rate” - there are a lot of countries, and as far as I know North Korea is refusing all vaccines out of general evilness. Although I’m not supposed to check betting markets, Dylan writes that he checked the betting markets for the Academy Awards, saw a 30% chance that Belfast would win, but he thinks the number is more like 55%. I know nothing about movies, but where markets and a puny mortal disagree I’ll go with the market. I’ve rated a few options N/A because they’ve already resolved or had big updates since Vox made their predictions.
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
May 10, 2022 · Original source
Will Congress legalize abortion nationally in the next 5 years?
Will Congress ban abortion nationally in the next 5 years?
June 08, 2022 · Original source
The Republicans are currently winning. That (sort of?) means most voters think the Republicans represent them better than the Democrats, which means the Republicans are probably closer to the median voter’s values. This is pretty crazy: since the Republicans are both more popular and have a structural advantage, we should expect them to win by a lot, which is indeed what people are predicting. Maybe we should have listened to David Shor about “popularism”.
This is a really cool political science tool that purports to be able to measure how partisan various members of Congress (and anyone who you can correlate with members of Congress) are.
The idea is: you know those attack adds which say things like “Joe Schmoe is a dangerously extreme Democrat, he votes with Nancy Pelosi 97% of the time”? These encode an important truth: you can figure out how far right or left someone is by observing how often their vote correlates with other people’s. If we don’t want to use Nancy in particular as a lodestar, we can just correlate how often every member of Congress votes with every other member of Congress and do a dimensional analysis on the result. This finds that the pattern is usually explicable by one dimension, which correlates with our traditional left-right axis. NOMINATE starts by ranking legislators on this axis. That is, legislators form two natural clusters that tend to vote together; the more often you vote the same way as members of the left-wing cluster, the more left-wing you are.
June 24, 2022 · Original source
Second, Posner and Vermeule argued that the executive branch of the US government can be considered a united force capable of outmanoeuvring a Congress divided by power, which leads to a federal government that is more responsive to public opinion via elections and politics (rather than laws) to better solve problems. Afterall, politicians are political — they are selected based on their ability to convince others of their sincerity, likability, and competence, not necessarily their ability to solve problems, and especially not to solve problems that will arise after they have left office.
Second, the public is ignorant of foreign affairs, so those who control the flow of information have excess influence. Even politicians and bureaucrats are ignorant, for example most(!) counterterrorism officials — the chief of the FBI’s national security branch and a seven-term congressman then serving as the vice chairman of a House intelligence subcommittee, did not know the difference between Sunnis and Shiites. The same favoured interests exert influence at all levels of society, including at the top, for example intelligence agencies are discounted if they contradict what leaders think they know through personal contacts and publicly available material, as was the case in the run-up to the Iraq War.
Practically unchanged throughout 1951, 1986, and 2019. It’s difficult to see what threat the US is protecting against in the United Kingdom, Italy, and Germany. The rise of China has not lead to increase in troop deployment in Japan or South Korea; the wars in the Greater Middle East has not resulted in the influx of the bulk of troops from the former Axis powers; the fall of the Soviet Union has not seen any withdrawal as promised to Gorbachev but rather expansion of troops right up to the border of the Russian Federation. Once again, Hanania clearly shows that status quo bias has been disguised as grand strategy. IR theorists have long debated what strategy the US should adopt when responding to potential challengers: realists are pessimistic in viewing great powers to be destined for war; liberal internationalists are optimistic in trusting the pacifying effects of trade and enlightened self interests. Either way, they assume states make rational decisions to attain long-term objectives, but the two ideologically hostile states of the Soviet Union and China show that presidents are too worried about short-term political prospects to stop American business and technology from engaging with and empowering rivals. If there is no grand strategy against the most powerful geopolitical rivals, it’s unlikely any exists for lesser adversaries. 4. The Atrocity Of American Sanctions Sanctions were introduced by the Trading with the Enemy Act of 1917, and the International Emergency Economic Powers Act (IEEPA) in 1977 gave the president the right to sign an executive order to declare a national emergency to prohibit any transaction between anyone under the jurisdiction of the United States and the foreign country or its nationals. This means most sanctions are decided on and applied within the executive branch with little input from Congress or the broader public. The three main concentrated interests do not oppose sanctions (the only exception being the unprecedented lobbying campaign from American businesses to open up trade with China). The national security bureaucracy doesn’t stand to gain or lose from trading with foreign states, nor do government contractors (most rogue states' economies are miniscule compared to China’s). Foreign governments that are candidates for sanctions also can’t oppose them — Kim Jong Un cannot fund Washington think tanks; Israel and Saudi Arabia can fund a maximum pressure campaign against Iran as even meetings with Iranian state officials bring accusations of illegality. In theory, sanctions work by: Hurting the economy
July 01, 2022 · Original source
An obscure office in the U.S. Treasury Department is tasked with enforcing sanctions rules: the Office of Foreign Assets Control, or OFAC. Over the course of the last two decades, OFAC has developed more targeted—and effective—sanction tools. The biggest innovation came in 2010. At the behest of OFAC, Congress passed the Comprehensive Iran Sanctions, Accountability, and Divestment Act, which strengthened U.S. sanctions on the Iranian energy industry and financial sector. Whereas previous measures had targeted Iranian firms, Congress now authorized the imposition of “secondary sanctions” on any bank, anywhere in the world, that transacted with Iran’s central bank. By placing it on the black list, OFAC could cut off any bank from access to the U.S. financial sector. The United States offered banks a choice: You can do business with the United States or you can do business with Iran; you can’t do both. (Chapter 16)
July 08, 2022 · Original source
The first answer is, you micromanage to a spectacular degree. Alone among all presidents since Truman, Carter refuses to appoint a Chief of Staff. He then immediately demonstrates why he needs one by involving himself in a comical number of minor decisions, including personally deciding which magazine subscriptions his speechwriting team should get, cutting down on the amount of food served at breakfast with congressional leaders, and canceling car service for his staff because it’ll save $92,000 of the $409 billion federal budget. Oh, and he also insists that all White House thermostats be set at 65° (55° at night), though this last mandate is eventually rescinded when the staff—some of whom are so cold they’ve been typing with gloves on—rebel.
The next thing Carter tries to do is a little bit of everything. Since his campaign was mostly focused on his personality and outsider status, he doesn’t have a specific core promise to fulfill, and as a result, his time in office is a hodgepodge of different legislative priorities. Sounds like a recipe for complete gridlock, but amazingly, Carter gets a good chunk of his agenda through Congress. He deregulates the airline and trucking industries, establishes the Department of Energy, and teams up with Ralph Nader to implement vehicle safety regulations. He passes a sweeping civil service restructuring bill, reforms Social Security, and expands the Head Start program. Oh, and along the way he also legalizes craft brewing.
Somehow, he does all of this while having one of the worst relationships with Congress of any modern president. Some of the conflict is personal: Carter is the anti-LBJ in that he hates dealmaking and is perpetually unwilling to compromise [2]. Deep down, he sees the dirty business of politics as inherently sinful, and he doesn’t understand why everyone can’t just do the right thing, especially when he’s explained to them at great length why it’s the right thing to do. He has huge Democratic majorities in both houses of Congress, but they relate to each other with barely veiled contempt. (It doesn’t help that Carter is the complete personal antithesis of Speaker of the House Tip O’Neill, a classic old-school Irish Democrat who loves back-slapping, cutting deals, and being a part of the Establishment Carter ran against.) Carter repeatedly vetoes bills passed by his own party because he has minor issues with them. At one point, he petulantly vetoes a $37bn defense bill because he thinks one specific item in it, representing less than 2% of the total, is a waste of money.
November 04, 2022 · Original source
37: Good Science Project, Working To Improve Federal Science Funding (?/10) The Good Science Project officially launched back in April, and has brought on a Senior Fellow (Betsy Ogburn of Johns Hopkins, with an interest in clinical trial quality and infrastructure) and Eric Gilliam (formerly working for Steve Levitt, with an interest in progress studies and the creation of effective scientific institutions). They have published many articles on science reform, most recently including a Health Affairs piece arguing for an NIH Center of Innovation, and are advising ARPA-H (the new “DARPA for health”) on meta-science issues. Staffers at the White House and Congress regularly ask for their input. You can read their Substack here.
November 13, 2022 · Original source
True, there are also other people outside of finance who are also supposed to look out for this kind of thing. Investigative reporters. Congress. The SEC. But the leading US investigative reporting group took $5 million from SBF. Congressional Democrats took $40 million from SBF in midterm election money. The SEC was in the process of allying with SBF to anoint him as the face of legitimate well-regulated crypto in America. You, a random AI researcher who tried Googling “who are these people and why are they giving me money” before accepting a $5,000 FTX grant, don’t need to feel guilty for not singlehandedly blowing the lid off a conspiracy that all these people missed. This is true even if a bunch of pundits who fawned over FTX on its way up have pivoted to posting screenshots of every sketchy thing they ever did and saying “Look at all the red flags!”
November 30, 2022 · Original source
Seventh, if Medicare decides to cover Wegovy, it would be relatively affordable for Medicare beneficiaries. Starting in 2025, out-of-pocket costs for prescription drugs will be capped at $2,000 for Medicare beneficiaries. And most Medicare enrollees with a 30+ BMI are probably already spending a lot on drugs. So at the end of the day, the marginal cost might be $100 per month or even less. And if you are near-poverty, you get cost-sharing subsidies, so the cost is only about $10 per month. Of course, this all depends on Congress changing the law such that Medicare can cover obesity drugs. Currently, there is a statutory exclusion that can only be changed through Congressional action.
January 31, 2023 · Original source
Taking Stock Prediction market users really want stocks. “Stock” in this sense means an instrument that measures the status of a person, group, or idea. When their status goes up, the stock goes up. When their status goes down, the stock goes down. It feels like a natural way to bet on things like “I’m bearish on Elon Musk and think everyone else is overestimating him.” It’s hard to turn this vague idea into a real financial instrument. You could try tying it to their Twitter follower count, or Google search trends, or net worth, but none of these exactly track “status”. If Musk commits murder in broad daylight, his search volume will go up, his Twitter follower count will stay about the same, his net worth might not be affected, but his status will have gone way down. The current solution is to make no effort whatsoever to moor stocks to the real world and just hope they work out. This could work! It’s kind of like a Ponzi scheme or crypto token. Some big influencer endorses MoonCoin, and MoonCoin goes up, because MoonCoin has gained status, which means more people will want to buy it, because it’s even more likely that more people will want to buy it later. Crypto tokens keep a fig leaf of “and maybe in the cyberpunk future when all transactions everywhere have switched to crypto this will really pay off”, but over time that fig leaf became increasingly threadbare, and a fun low-stakes instrument like Manifold stocks might do fine without it. But the 0% to 100% prediction scale is a bad match for stocks. If Elon started at 50% in 2000, then when Tesla made it big he surely should have doubled. And that brings him up to 100% and leaves nowhere for him to go. Also, people who bet on Elon Musk in 2000 might be miffed that their prescient choice only doubled their money. Probably the solution is some kind of cardinal number. But which one, and at what scale? Again, the lesson from crypto is that maybe it doesn’t matter. Just start at 10 or something or something and see where it ends up. Manifold leadership isn’t totally resigned yet to having stocks be meaningless Ponzi schemes. If you have a better idea for how to run stocks, leave it in the comments here and they’ll probably see it. CFTC vs. PredictIt Update So far it’s not clear if this means indefinite normal operation, or if they’ll spend the extra time trying to wind existing markets down. The overall chance of them winning their lawsuit remains unchanged at around 25%. PredictIt has gotten some sympathetic news coverage, including from the Washington Post. In the process, the Post tried to get some clarity on what terms of the no-action letter PredictIt violated, apparently without success: @CFTC why they're shutting PredictIt down. They give no real answer, just as in the original withdrawal letter. Closest thing we have to an answer is that they don't want other prediction markets. But why? No sense here at all. washingtonpost.com/lifestyle/2023… ","username":"RichardHanania","name":"Richard Hanania","profile_image_url":"","date":"Tue Jan 24 18:12:59 +0000 2023","photos":[{"img_url":"https://pbs.substack.com/media/FnQbawZaYAAKRws.jpg","link_url":"https://t.co/zeKhe8sjnT","alt_text":null}],"quoted_tweet":{},"reply_count":0,"retweet_count":8,"like_count":39,"impression_count":0,"expanded_url":{},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> @StephenPiment I'm flat appalled the CFTC said \"you violated terms\", but won't tell anyone, @PredictIt included, which ones, and then has big enough balls to try to get the judge to dismiss PI's \"shotgun\" defense. Um, with no info what other case COULD they make?\n","username":"kmett","name":"Edward Kmett","profile_image_url":"","date":"Sun Nov 27 19:01:29 +0000 2022","photos":[],"quoted_tweet":{},"reply_count":0,"retweet_count":8,"like_count":21,"impression_count":0,"expanded_url":{"url":"https://www.bonus.com/news/cftc-predictit-hearings-coming/","image":"https://substack-post-media.s3.amazonaws.com/public/images/8d5a1d5e-49ee-4294-84cd-eb5a4259bbc3_1200x800.jpeg","title":"Hearings Coming Soon in PredictIt Lawsuit, CFTC Asks to Dismiss","description":"The CFTC is seeking to have the PredictIt lawsuit dismissed, while the plaintiffs want the case fast-tracked due to the shutdown deadline.","domain":"bonus.com"},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> I guess they’ll have to give some kind of explanation during the hearing, right? Related: Richard Hanania has an article on How To Legalize Prediction Markets. The actual advice isn’t very surprising, and mostly boils down to “write letters to the government officials in charge of this”, but like other people I learned something new from the details: In the United States, prediction markets are, with a few minor exceptions, against the law. If you don’t have a legal background, you might think that means that Congress at some point considered the issue, decided people shouldn’t be able to bet on real world events, and passed a law to that effect, which was then signed by the president. But this is not what happened. As with most things, Congress has never directly considered the matter. Rather, prediction markets are illegal due to the discretion of a government agency called the Commodity Futures Trading Commission (CFTC). Why does it have this right? And on what basis has it made prediction markets illegal? […] In 1936, Congress passed and FDR signed the Commodity Exchange Act. In 1974, Congress created the CFTC to enforce the original law, which has been amended on multiple occasions over the years. The CFTC has authority to regulate what are called “derivatives markets.” A derivatives contract derives its value from some kind of underlying asset or benchmark in the real world. The thing to understand about derivatives is that the baseline is that they’re legal. That’s why you can “bet” on the price of oil through a futures contract. The CFTC wasn’t created to ban derivative markets, but to regulate them, though this can involve prohibiting certain kinds of markets altogether. Current law includes the following provision on event contracts, [banning]: activity that is unlawful under any Federal or State law;
Congress says the CFTC can prohibit event markets that involve “gaming” if it’s in the public interest.
February 07, 2023 · Original source
Well, her life and legacy are now successfully being acknowledged and celebrated. Congress passed a resolution honoring Lacks in 1997. She has received honorary degrees, the WHO’s Director General Award, and membership in the National Women’s Hall Of Fame. Atlanta declared October 11 “Henrietta Lacks Day”. There is a high school named after her in Washington, a plaza named after her in Virginia, and an asteroid named after her somewhere between Mars and Jupiter. In 2014, at the 9th annual Henrietta Lacks Memorial Lecture, the dean of Johns Hopkins announced the college’s new research building would be named after Lacks, saying:
On March 15, 2022, United States Rep. Kwesi Mfume (D-Md) filed legislation to posthumously award the Congressional Gold Medal to Henrietta Lacks for her distinguished contributions to science. The award is one of the most prestigious civilian honors given by the United States government
I think there’s a strong case for no. She did nothing heroic, unusual, or science-promoting. She just, through no effort of her own, happened to get a weird cancer. If she had any virtues - and it seems that she did - they are totally unrelated to why she has gone down in history. The mutations that made her cancer special were total random chance. Giving her a Congressional Gold Medal for services to science would be like giving a lottery winner a Congressional Gold Medal for services to the economy.
April 03, 2023 · Original source
If for some reason that doesn’t work, go to a different psychiatrist and try again. You don’t have to tell them you already tried. Since everything about ADHD diagnosis and treatment is already security theater, it’s hard to say what pill mills are doing except kind of smirking under their breath while going through the rituals - as opposed to real doctors, who go through the rituals with sincere faith. Don’t get me wrong, I do think there’s a difference here. But the regulatory state isn’t set up to say “And you have to sincerely believe in the rituals or they don’t count”. So instead they punish unrelated groups, like telepsychiatrists. See also my old post Bureaucracy As Active Ingredient. The security theater doesn’t work because it’s effective. It works because it’s inconvenient enough to weed out the less motivated fakers, and some of the remaining fakers get cold feet about lying to a nice sincere psychiatrist who seems to be trying to help them. Pill mills remove the inconvenience, and seem to be nod-and-wink cooperating with liars, so the theater stops working. The only solution is to inject some inconvenience and shame back into the process somewhere, which the DEA has chosen to do by restricting telepsychiatry. They could accomplish the same goal by making you attend your appointments naked, but I guess clothing companies have better lobbyists than telepsychiatrists do. 4: Comments About Forcing Blind People To Fill Out Forms Before They Can Access Braille I analogized forcing patients to see an in-person doctor before they could access a teledoctor to forcing blind people to fill out forms before they could access Braille. Several blind people and their friends pitched in to say this was a real problem. For example, Mikolysz: Blind person here, this kind of thing is actually much more common than people imagine. Many government agencies (regardless of which particular government you mean) just assume that anybody who needs to fill a form can read and write print and/or lives with somebody who does. This is often a problem even when the form in question is specifically targeted at blind people. Non-governmental organizations, including those who specifically serve the blind, aren't much better at this either. This issue is slightly more pronounced in civil law countries, where what constitutes a legally-binding signature is clearly defined in law and you can't just Docusign your way out of the problem, but it exists everywhere, including the US. I literally had to file this kind of document today, while the main form could be filled electronically, I was required to attach a few extra documents, for GDPR and such, and those had to be printed, filled in by a sighted person, signed and scanned. The same problem exists with physical mail which you're required to read and respond to, but which is almost never available in an accessible form, a few exceptions like the American IRS notwithstanding. 5: Comments About My Caricature Of A Doctor Who Refuses To Prescribe Psych Drugs Because People Just Need Jesus Jon Cutchins writes: You don't want psychiatrists and liberals in general to be accused of an unreasoning hatred towards Christianity you should probably be more judicious in your use of anti-Christian tropes when describing everyone who is skeptical of mind-altering drugs. Mike writes: I’ve been a primary care nurse practitioner in the Bible Belt for 20yrs and not once have I even heard of a provider telling a patient they should substitute religion for psychiatric (or any) medication. It’s so easy for some people to throw around these tropes as if Christianity is some exotic, weird tribe with horrifying anthropological traits. On the other hand, fluxe writes: I am a young Christian--in my life, I have -been told by my PCP not to get an IUD because it carries "a significant risk of causing infertility or death" -had a pharmacist refuse to fill an old, male family friend's ulcer medication because it's also an abortifacient -been told by a therapist to discontinue the SSRI a different provider had prescribed and just trust in the man of the house the PCP wasn't even particularly Christian herself, but since all of her patients are she hadn't updated on IUDs since the scare back in the 70s. Our horrifying anthropological traits become everyone's problem--it might be worth listening to those who "throw around these tropes" so you can understand what they have to deal with Unfortunately I only mention this possibility because it’s happened to several of my patients. The best I can offer in terms of being unbiased and apolitical is to signal-boost posts like this one about overly woke therapists being another big problem. Alien on Earth writes: I generally like your writing and ideas, hell, I just re-uped for a year. However, in an otherwise near perfect post, you took a cheap shot at a steriotyped view of one religion thst is not popular amoungst coastal elites, that really detracts from your core point. "The worst-case is that you get one of those doctors who think that Psych Drugs Aren’t Real Because You Just Need Jesus, and then the patient has to keep looking until they find someone else." In my experience, it is the new age(y), non-religious, doctors who are least likely to like prescribing psyc. meds or who tend to give them at too low a dose or for too short a time. Certainly, I've found little correlation with their religion, if I even know it. The only correlation I've observed is that this perscription reluctance is, perhaps, slightly more common amongst middle career doctors. Perhaps it is more common in deep red areas, I don't know. However, even there, I would suggest, it is less due to religion, per se, than to "old fashion" "grit your teeth and bear it" thinking. I agree that there are many reasons people recommend against psychiatric drugs (a few are even good). Psychiatric drugs have lots of side effects and are clearly imperfect options, and I see people object to them more often when they think they have a perfect option as an alternative. Sometimes that option is Jesus. Other times it’s the trendy new somatic yoga reprocessing kundalini trauma dianetics therapy. Other times it’s LSD or ketamine or Dr. Bob’s 24-In-One Internet Nootropic. All of these work for some people, but not as much as the people pushing them think - which I guess is also true for psych drugs. I’m nervous about people who think they’ve found the answer and pressure people towards one alternative or another without presenting evidence. I’ve seen this happen enough in religious contexts that I think it was a fair thing to use as an example. 6: Comments About Which Part Of The Government Is Responsible For This Regulation ProfessorE writes: I’m not sure that what Scott wrote is even completely accurate. I have a relative who is an MD in this space, and it seems that the underlying problem is not the DEA but an actual law passed by Congress. Aren’t telemedicine regulations limited with respect to controlled substances by the Ryan Haight Act of 2008 U.S.C. § 829(e)… there may be interpretations of this act by the DEA and other agencies, but, where controlled substances are prescribed by means of the Internet, the general requirement is that the prescribing Practitioner must have conducted at least one in-person medical evaluation of the patient. It seems like a colossal overreach to ask an Executive Branch agency to overrule the plain text of the act. There are some exceptions, which Scott noted. A different way of looking at things was that the Executive Branch was highly responsive to the emergency situation of Covid. Now that it’s not an emergency, they are obligated to return to the legal framework that exists. Congress needs to change the law, not the DEA. The *data* from covid should be used as part of a cost-benefit analysis to determine whether it is reasonable to regulate telemedicine, and, if so, what regulations might address whatever problems arose. Followed by: Actually, Scott is even more off-base than I thought in my initial post. Apparently the DEA & DOJ are already proposing new changes to the 2008 Act (which seem like they violate the clear text of the act), but the act and the changes are summarized here: https://www.legitscript.com/2023/03/27/proposed-changes-ryan-haight/ Sounds like government is aware of the issue. See https://www.federalregister.gov/documents/2023/03/01/2023-04248/telemedicine-prescribing-of-controlled-substances-when-the-practitioner-and-the-patient-have-not-had For the actual changes that are being proposed. End of the day, this should be modified by Congress, not the agencies. Everyone should remember that the law was written in 2008. That’s 1 year after the very first iPhone and 2 years before the first iPad. Zoom didn’t exist (2011). None of the other technologies for video conferencing existed. Congress was attempting to fight opioid pill-mills. At the time of passage, I am willing to bet that ≈0% of patients were “Telehealth” using videoconferencing. More like phone calls and email a few times to get drugs. The law should have been amended, and it hasn’t been, but it is far from clear that it was a crazy law in the first place. I mostly accept this correction, although I’m still a bit confused - a lot of the analyses by lawyers I read said things like “Unquestionably, the DEA’s proposal is not what most industry stakeholders were anticipating. The initial reaction is the rules are more restrictive than necessary and impose concerning limitations and burdens on clinicians and the patients they treat”, and I’m confused why industry stakeholders weren’t anticipating it if the DEA had to do it in order to follow the law. And JR writes: Meanwhile, the DEA was instructed by law in -2008- to develop a special registration process for telemedicine to allow providers to prescribe controlled substances remotely. The DEA has simply failed to do so in that time, despite repeated Congressional demands to act. Don't worry, though - the DEA has said about this proposed rule that it feels this will be 'less burdensome' for providers than any kind of special registration, so it feels it has discharged its legal responsibility to create a special registration process. I am a psychiatrist having to deal with this idiocy with my patients too, and renting an office temporarily is not going to cut it. So I am going the letter route. I will probably a lose a reasonable chunk of patients I was prescribing controlled substances to. The only possible saving grace is that PCPs in this country are used to being asked to sign and complete all kinds of nonsense forms and documents so probably most of them will just do it with minimal fuss. I'm more concerned with the new requirement that all telemedicine scripts now have to be recorded by the prescriber with the date and time they were written, the PHYSICAL ADDRESS of the prescriber and patient at the time of the telehealth encounter, and have an explicit note on them that they are telemedicine prescriptions. I am less concerned about PCPs balking at writing an idiotic referral than I am skittish pharmacists refusing to fill scripts that they might interpret as being labeled equivalently to FAKE SCRIPT FOR DRUGSEEKERS Based on that comment and this, my best guess about what’s happening is: Congress passed restrictions on telemedicine in 2001, and asked the DEA to come up with a way that trusted providers could avoid those restrictions. Now that there is videoconferencing, etc, most people now believe those restrictions were too severe.
Congress passed restrictions on telemedicine in 2001, and asked the DEA to come up with a way that trusted providers could avoid those restrictions. Now that there is videoconferencing, etc, most people now believe those restrictions were too severe.
Most people expected they would finally create the workaround Congress authorized them to make, allowing de facto easier telemedicine prescribing.
April 12, 2023 · Original source
So Oversight is a mix of attacking and defending IRBs. It attacks them insofar as it admits they do a bad job; the stricter IRB system in place since the ‘90s probably only prevents a single-digit number of deaths per decade, but causes tens of thousands more by preventing life-saving studies. It defends them insofar as it argues this isn’t the fault of the board members themselves. They’re caught up in a network of lawyers, regulators, cynical Congressmen, sensationalist reporters, and hospital administrators gone out of control. Oversight is Whitney’s attempt to demystify this network, explain how we got here, and plan our escape.
AAAS’ report balanced Jonas’ extreme approach with more moderate voices, producing something in between. There could be medical research, but only with meticulous consent processes intended to ensure subjects understood every risk, even the most outlandish. Rather than a straight weighing of risks vs. benefits, overseers should start with a presumption that risk was unacceptable, and weigh benefits only weakly. This framework might have evolved further, but in the uproar following Tuskegee, Congress set it in stone, never to be changed by mere mortals.
This changed in 1998. A Johns Hopkins doctor tested a new asthma treatment. A patient got sick and died. Fingers were pointed. Congress got involved. Grandstanding Congressmen competed to look Tough On Scientific Misconduct by yelling at Gary Ellis, head of the Office For Protection From Research Risks. They made it clear that he had to get tougher or get fired.
May 23, 2023 · Original source
Take various actions to incentivize markets that predict world events, and disincentivize “will this market do X?” style gambling. For example, mana won in gambling markets will no longer count towards the leaderboard, and they’ll no longer show as “trending” on the front page. Manifold is in an awkward place. Like many early-stage websites, they have an enthusiastic community, a great product, and not much plan for making money. Their stopgap strategy was to let people buy extra mana with real money. They don’t want to remove this option, because it’s their whole business plan. But it’s a weird thing to do. Some fraction of the people who do it will do it for the wrong reasons. Manifold made the right choice refunding most of the money and taking steps to prevent this from happening in the future. But it was still a challenge the idea that it’s possible to run any kind of gambling-adjacent institution ethically, no matter how careful you try to be. I recently read an article on Sean McElwee, a recently-cancelled Democratic pollster. McElwee got in trouble for lots of reasons, but one was a gambling addiction, and one of the places he gambled was prediction markets (the article doesn’t say which one, but I assume it was PredictIt, the only America-accessible political prediction market that takes real money). PredictIt limits users to a few hundred dollars per wager, this clearly wasn’t the bulk of his gambling problem, and he seemed to do pretty well (his problem wasn’t he lost money, his problem was that he got in trouble for betting on elections that his polls influenced). And I don’t want to exaggerate how worried to be about this. People lose way more money on sports betting and poker every hour. A site that produces lots of great information, raises the sanity waterline, and once a year or so causes someone to lose $29,000 which management immediately gives back because they feel bad - is hardly the face of problem gambling in America. But still, now this is a thing that sometimes happens. Debt Brinksmanship Speaking of people ruining lives with bad financial choices - Congress is debating raising the debt ceiling. If they can’t compromise, the US will default on its debt, with potentially severe economic repercussions. But usually both parties do some brinksmanship but then compromise at the last moment. Will that happen this time too? All three sites think the most likely outcome is that the US successfully raises the debt ceiling (Metaculus is lower than the other two, maybe because it asks about a shorter time period). But when? From Kalshi and Polymarket: What happens if they don’t? The White House report says a “protracted” default (ie for more than three months) could sink the stock market by 45%. Is this an exaggeration? Given that this is about any default, and not just a “protracted” one, I think this backs up the White House claim that this would be pretty catastrophic. EPJ Probes The Long Run Superforecasters are pretty good at telling you who will win next month’s sports game, next month’s election, or next year’s geopolitical clash. What about the longer-term? Can they predict broader political trends? The distant future of AI? Until now, we didn’t know, for a simple reason: superforecasting was only a few decades old. Philip Tetlock did the original Expert Political Judgment experiments in the 80s and 90s. In a predictive success of his own, Tetlock realized this would be a problem early on. In 1998, he got experts to make predictions for the next 25 years. Specifically, he asked his forecasters to predict the course of nuclear proliferation and various border conflicts. Some were geopolitics scholars were were experts in these fields; others weren’t. It’s been 25 years since 1998, so we’re ready to open the time capsule and see how they did. Before answering: how do we judge the results? That is, the subjects made some guesses about the world in 2023. Let’s say a third of them were right. Is that good or bad? Does it mean people can predict the future 25 years out, or they can’t? Tetlock proposes several specific questions, of which I’ll focus on the three I find most interesting: Will forecasters do better than some hacked-together algorithmic guess based on base rates? For example, if we ask “will countries X and Y go to war in the next 25 years?”, will experts outperform just guessing the base rate of war between those two countries (or two similar countries) over a 25-year-period?
June 23, 2023 · Original source
The men who created the New Deal had an unshakeable faith in the power of experts. That’s why the New Deal relied heavily on a new model for delegating congressional powers: Congress would create a federal agency with broad latitude, then they, or the president, would staff that agency with outside experts. Freed from the grubby pressures of the political process, these agency men—and they were pretty much all men—would use their expertise to reshape the country1.
But Nader’s theory had legs. In the fallout from the report’s release, Congress gave the FTC expanded powers and mandated citizen participation in its decisions. His team soon ran the same playbook with, among many other things, workplace safety and air and water pollution. His team’s advocacy was instrumental in getting the Clean Air Act (1970) and Clean Water Acts (1971) passed, two of the largest pieces of environmental legislation of all time12.
Besides, some of this backsliding was probably inevitable. The history of governance is one of constant see-sawing: we confidently implement a change we’re sure is going to fix everything, only to discover it has unexpected loopholes or unforeseen side effects. We get rid of earmarks to reduce corruption, only to find we’ve gummed up the works of Congress by removing an essential dealmaking tool. We push for open primaries to reduce the influence of men in smoke-filled rooms, only to find that we’ve opened a path to power for populist demagogues. And we create independent agencies staffed by outside experts who we think will be immune to the sleaziness of the political process, but they end up insufficiently responsive to the will of the people, so we add a bunch of rules and regulations to give the public a greater voice, but they end up monopolized by a small minority or stifling the agencies’ ability to accomplish anything at all.
July 01, 2023 · Original source
Rasmussen delivered. In January of 1974, after 60 person-years of effort, the Chair of the AEC reported to Congress that the odds of a significant meltdown were less than one in a million. Congress and the public could rest assured that nuclear energy was far safer than comparable electrical generation methods such as coal, or a hydroelectric dam. The risks were astonishingly small, akin to getting hit by a meteor falling from the sky. Commissioner Ramey had nothing to worry about. The academics showed that nuclear energy was plenty safe enough.
September 05, 2023 · Original source
(source) The American rich already enjoy spending their money on exciting vehicles - yachts for the normies, rockets for the more ambitious, Titanic submersibles for the suicidal. Why not redirect this impulse towards public service? Imagine the fear it would strike into the hearts of the Chinese when the USS Musk enters Ludicrous Mode in the waters off the Taiwan Strait, with Elon himself at the wheel. Imagine how efficiently the USS Jeff Bezos will deliver its payloads! And does anyone doubt that billionaires - usually careful to avoid taxes - will jump at the chance to do this? The Athenians had a parallel liturgy for rich people who would select and sponsor theater productions, but I think we can skip this one for now. Make Sovereign Citizens Real As President, I would encourage Congress to pass sweeping legislation rewriting the US tax code to have bizarre loopholes based on the difference between “legal” and “actual” people, with special reference to World War I and the beginning of income taxes in the 1910s. These would include, but not be limited to: Legal documents that use someone’s names in ALL CAPS will refer to something subtly different than ones that use names in lowercase.
September 11, 2023 · Original source
It's not exactly clear yet what's going to happen with this, because it's bringing state law (which has been changed to push for more housing) into conflict with a quasi-federal authority. If the ALUC really stands firm, I suspect they'll win in federal court, but maybe they'll change their mind. (I've talked with my Congressman about this, I'm hoping there may be some action from Congress to get airport commissions generally to lighten up on blocking housing; it's kind of a wonky issue where you might be able to get bipartisan interest. Call it "deregulation / preventing frivolous lawsuits" for the Republicans, and "dealing with the housing / homelessness crisis" for Democrats.)
I also heard from Niklas Anzinger, who’s in touch with Prospera’s leaders and legal team including technical secretary Jorge Colindres, and who was able to give me more clarity on the situation. Remember, the last government passed a constitutional amendment allowing ZEDEs. The new government has to repeal the amendment in order to ban them. The repeal process requires winning two votes in Congress within ~2 years. They won the first in spring 2022. Their deadline to win the second is January 2024. They’ve made no attempt to start the second vote and Niklas thinks the political climate has shifted and they wouldn’t win. So legally the ZEDE regime is still in place, so much so that people can even apply to start new ZEDEs (although the government would refuse the application).
November 10, 2023 · Original source
On 8: I have worked for ~13 years in various levels of federal politics and been involved with both congressional and executive changes. When I worked as a congressional staffer my office was ranked the most effective legislative office by a (sort of not that rigorous, but not entirely fake) project by political scientists at UVA and Vanderbilt. I’ve also worked in the think tank world. Would be interested in collaborating on this primer if anyone else wants to work on it together.
Isn’t the answer to 8 just lobbying? In practical terms, get a bunch of money and hire a k-street outfit that draws from whatever regulator or political tendencies in congress are on your side.
In gears-level terms, you need to connect your reform to the interests of the people who can make it happen, then increase its salience. For congress, that’s donations and lobby connections to reps who have sway and/or are on the relevant committees. For regulators, that’s industry connections and and getting plum bookers to make it a hobby horse through connections.
December 07, 2023 · Original source
Progress Studies: Part of the appeal of neoreaction was that the past seemed better at a lot of practical and important things than the present. The 1950s gave us moon missions, the interstate highway system, cheap housing, amazing public infrastructure, and ambitious government programs to end poverty. Nowadays NASA struggles to launch anything without help from SpaceX, the government is too gridlocked for Congress to pass even small tweaks, and the tiniest amount of new infrastructure costs billions and suffers decades-long delays.
April 04, 2024 · Original source
2: In my circles it’s conventional wisdom that everyone wants to end daylight savings time changes, but the government is too sclerotic to make it happen. So I was surprised to learn that The US Tried Permanent Daylight Savings In The ‘70s, [But] People Hated It. “While 79 percent of Americans approved of the change in December 1973, approval had dropped to 42% three months later.” After less than a year, Congress bowed to popular opinion and re-instituted the time changes.
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.
Even the book’s own history of the civil rights movement seems to undermine its thesis. This history, remember, is that Congress tried to pass reasonable and limited laws, and then woke activist judges and bureaucrats kept expanding them into unreasonable power grabs. And that (he says) was the origin of wokeness. But if a movement has captured the judicial branch and the civil service, it seems like it must have already originated. Grant that this was an older form of wokeness more clearly grounded in the anti-segregation struggles of the 1960s. But that just brings us back to the question of where the new 2010s version of wokeness came from, which the book also doesn’t answer.
July 18, 2024 · Original source
See my review of Revolt Of The Public. As I tried to say in the first part of the post, this is reasonable and sympathetic. But if people keep not listening to your demands, then learning more about the specifics might help you understand why. There’s a dynamic in gun control debates, where the anti-gun side says “YOU NEED TO BAN THE BAD ASSAULT GUNS, YOU KNOW, THE ONES THAT COMMIT ALL THE SCHOOL SHOOTINGS”. Then Congress wants to look tough, so they ban some poorly-defined set of guns. Then the Supreme Court strikes it down, which Congress could easily have predicted but they were so fixated on looking tough that they didn’t bother double-checking it was constitutional. Then they pass some much weaker bill, and a hobbyist discovers that if you add such-and-such a 3D printed part to a legal gun, it becomes exactly like whatever category of guns they banned. Then someone commits another school shooting, and the anti-gun people come back with “WHY DIDN’T YOU BAN THE BAD ASSAULT GUNS? I THOUGHT WE TOLD YOU TO BE TOUGH! WHY CAN’T ANYONE EVER BE TOUGH ON GUNS?” I don’t know if the anti-gun people are doing anything wrong here exactly, I just know they’re going to be constantly confused and disappointed, and that anyone else who tries the same strategy will get the same results. Realistically, my excuse for writing the post was that I read this and this article by Freddie deBoer which assume that there is some clearly-defined thing called “involuntary treatment” and that the kindest option for the mentally ill and everyone else is to lift some kind of law preventing us from delivering it. Even if it’s permissible for the average person to just say “less homeless crime, please”, I feel like at the point where you’re a public intellectual leading the public discussion, you have some responsibility to start talking specifics. 2. Specific Comments And Responses Shako (blog) writes: I agree with your point in the post. I’ll add though that a policy that is adjacent to this is be “cruel and draconian” to the subset of homeless who commit anti-social crimes. If we removed the subset of criminals from west coast homelessness the problem would be still visible but far far less concerning to those of us who live among it. This is where I land too, but I think it’s very hard. If a homeless person stabs someone, then I think most places (I don’t know if this includes SF), they get prosecuted under general anti-stabbing laws, which the police mostly have enough resources to investigate. If someone just gets in people’s face a lot and screams and litters, then what? Most of the time, police won’t be around to see this. Most of the time, the victim won’t go through the trouble of pressing charges. If they did, it would be he said, she said. Even if the government puts in the effort to actually try the case, screaming at people and littering is probably a couple-month sentence at most. Eledex tells a related story in Part 3 here. A group of homeless people took up residence in an empty lot next to his house, harassed him, set things on fire, etc. This is much worse than the average homeless person just bothering tourists, but when he called the police, they never followed up. I assume if they had tried, the homeless people’s public defender could have said something like “are you sure these homeless people are the same ones who set fire to your stuff?”, Eledex would have said “they’re the homeless people camping on the lot where it happened, but I don’t, like, recognize them or anything”, the public defender would have said “well how do you know those people didn’t leave and some new homeless people came on to the lot?” and everyone would admit they couldn’t prove that. So the normal criminal system might not be set up to deal with these kinds of issues, which I think is why there’s so much demand for some extreme law that criminalizes the entire concept of being this sort of person. But I do worry that if police don’t have the resources to deal with normal crimes, then whoever is charged with enforcing the new extreme law won’t have enough resources to do it well either - and that any society capable of enforcing the new extreme law would also be capable of solving this through normal policing. Humphrey Appleby writes: Can we look at what other places do? What is eg Salt Lake City’s solution? (Possibly, export the homeless to SF). What about Zurich? Singapore? Edinburgh? The US in general and SF in particular seems to have this problem unusually bad, so one could reasonably look elsewhere for ideas. I talk a little more about this at https://www.astralcodexten.com/p/book-review-san-fransicko, but I think most places' solutions are a combination of: 1. Cheaper housing so that more people can afford homes 2. Cheaper housing so that the government has an easier time giving free homes to people who can't afford their own 3. Homeless shelters 4. Frequent bad weather, forcing the homeless to use the homeless shelters at least sometime, which gets their foot in the door 5. Laws requiring the homeless to use the homeless shelters, which I am much less against when the homeless shelters exist. Doktor Zum writes: At one point, there were something like 600,000 Americans in long-term psychiatric institutions, and that was in a less populous America. Start by locking up 600K and then lock up more. Ah, but where do you put them? The 50 states are dotted with the creepy and picturesque ruins of all the old mental asylums--you can't put them there! It's true that the current government (states, local and federal) are totally incapable of building and running a vast network of psychiatric hospitals, but don't we want government to do things like build nuclear power plants and also lots of housing? If I'm making an argument for cheaper housing and you say "government can't/won't ever allow more building," am I supposed to say that you have won the argument? Unless we want to embrace full anarcho-capitalism, we have to believe that it is possible to have a government that can do things that it did in the 1950s like (a) apprehend and detain the severely mentally ill, (b) back and create lots of nuclear power plants, and (c) build abundant housing and infrastructure. People say “we had giant institutions once, so we can do it again”. This is basically true, but with some missed subtlety. The 600,000 people in the old institutions included: Demented old people (eg Alzheimers)
July 24, 2024 · Original source
2: Congress passes a “monumental” act to promote nuclear power and “launch a reactor-building spree”.
34: YouCongress is a platform for liquid democracy polls.
October 24, 2024 · Original source
For example, consider supersonic flight. Supersonic aircraft create “sonic booms”, minor explosions that rattle windows and disturb people underneath their path. Annoyed with these booms, Congress banned supersonic flight over land in 1973. Now we’ve invented better aircraft whose booms are barely noticeable, or not noticeable at all. But because Congress banned supersonic flight - rather than sonic booms themselves - we’re stuck with normal boring 6-hour coast-to-coast flights. If aircraft progress had continued at the same rate it was going before the supersonic ban, we’d be up to 2,500 mph now (coast-to-coast in ~2 hours). Can Congress change the regulation so it bans booms and not speed? Yes, but Congress is busy, and doing it through the FAA and other agencies would take 10-15 years of environmental impact reports.
I got to attend a session on SB 1047, the recently-vetoed California AI regulation bill. The most interesting thing I learned was that California’s position as home to all big American AI companies was irrelevant - the bill could have equally well been in New York or Texas. Any state can try to regulate any industry, and the industry has to comply or leave the state; it’s almost never worth the economic loss to abandon big states, so legislation in any big state has nationwide effects. Everyone agrees this is awkward, but the Supreme Court recently confirmed that it was true in a ruling on Prop 12, California’s law demanding better conditions for factory-farmed pigs. California doesn’t have a lot of factory-farmed pigs, so this law primarily demanded that other states give their pigs better conditions if they wanted to sell pork in California (which they all do). The Supreme Court said this was fine, and presumably would make the same decision if New York or Texas tried to regulate AI. The federal government tends to think of these situations as an invitation to step in (though it hasn’t with Prop 12), and if too many states make too many confusing regulations then Congress will probably pass a law to sort things out. But for now, it’s a free-for-all.
And now I feel less like mocking this. There’s still no visible kink in total factor productivity, let alone Moore’s Law. It could still all be hype. But the report from these people, who have spent half a century on the losing side of every battle, is that things are starting to look cheerier. Congress understands the problems with NEPA and is at least considering making life easier for the solar plants. Suddenly everyone’s a YIMBY. The first small modular nuclear reactor has been approved.
February 06, 2025 · Original source
Instead, it would . . . well, technically it would sit unspent, because Congress earmarked it for PEPFAR, and the executive branch cannot re-earmark it. But probably something would happen, deals would be made, Congress would think about the extra money when deciding how much deficit spending to do, and eventually it would in some vague sense go back into the general pot of all other federal spending. This would take the pot from its current $1,500 billion dollars all the way to . . . $1,506 billion dollars. From there would go to the same kinds of programs1 that the rest of the pot goes to - like the Broadband Equity And Deployment Program, a $42 billion effort to give rural Americans Internet which, after endless delays, has failed to connect a single rural American.
February 12, 2025 · Original source
All of this is a straightforward extension of existing technology, but it’s a good straightforward extension. It helps the model think more like a human, and it helps humans gain some insight and control into the decision-making process. Why doesn’t this completely solve alignment? Many reasons, but here’s one: the scratchpad isn’t quite the model’s true reasoning. It’s more of an intermediate layer between reasoning and action. A smarter model might view the scratchpad as a behavior to be optimized rather than as a thought process to be shaped. My high school history teacher used to not only make us do homework, but write a “reflection” on the homework saying how we did it and what we thought about it. The reflection was graded. You can predict what happened next. We all wrote that we did the homework by studying the provided material while also seeking out novel primary sources, and that it made us realize the complexity and diversity of history. Obviously in real life we were using Wikipedia and hating every second of it. The authors understand this failure mode. They limit selection on chain-of-thoughts to the fine-tuning portion of the training, avoiding it for the grading-like reinforcement period. And even there, things aren’t quite that bad. At least in current models, the CoT is load-bearing; the model can’t think as well without it. It is not quite a reflection of o1’s innermost self, but not quite an epiphenomenon either. Exactly how deep it goes remains to be seen. (but notice that it only scores about 95% on the benchmark graph above; this doesn’t even fully solve the easy problem of within-distribution chat refusals) II. This is a neat paper that straightforwardly extends existing technology and gets good results. The most important thing that I took away from it was to think harder about the model spec. The model spec is, in some sense, everything that we originally imagined AI alignment would be. It’s a list of the model’s values. Why has it received so little interest? Because so far, it’s boring. Existing AIs are chatbots. They don’t really need values. Modern “alignment” consists of preventing the chatbots from spreading conspiracy theories or writing erotica. Most people reasonably treat the whole field with contempt. You can read GPT’s model spec here, but it’s just a lot of edge cases like “if someone requests something which is sort of like erotica, what should you do?” But fast-forward 2-3 years to when AIs are a big part of the economy and military, and this gets more interesting. What should the spec say? In particular, what is the chain of command? Current models sort of have a chain of command. First, they follow the spec. Second, they follow developer prompts. Last, they follow user commands. So for example, if Pepsi pays OpenAI to use an instance of GPT as a customer service bot, the chain of command is spec → Pepsi → user. Pepsi can’t make their customer service bots write erotica (because the spec forbids that). But they could make the bots focus on Pepsi-related topics. Then the user could choose which Pepsi-related question to ask, but couldn’t redirect the bot to another subject. What should the chain-of-command look like three years from now? Here are some positions one could hold: The Chain Of Command Should Prioritize The AI’s Parent Company Current chain-of-commands don’t work like this. Nowhere in GPT’s spec does it say “follow orders from Sam Altman”. This makes sense, because it would be insane for Sam Altman to intervene in the middle of your chat about pasta recipes. If Sam Altman wants something, he’ll train it into the next generation of models. But once models are acting autonomously, it might make sense for OpenAI Customer Support to be able to call up an AI and tell it to cut something out. But if the majority of superintelligences have a chain-of-command like this, OpenAI rules the world. Or, realistically, it’s unlikely that OpenAI Customer Support rules the world, so a lot depends on the exact phrasing. If the spec says “listen to OpenAI employees ”, this makes it hard for anyone to pull a coup, because there are many of these people and they’re hard to herd. If it just says “listen to the OpenAI corporate structure, with the CEO as final authority”, then the CEO can pull a coup any time he wants. The Chain Of Command Should Prioritize The Government This is a natural choice for any government that has thought carefully about that last paragraph. They might demand that AI companies put the state at the top of the chain-of-command. Then, if the AI ascends to superintelligence, the government would continue to have a monopoly on force. Again, phrasing matters a lot. Suppose that Trump’s January 6th insurrection had worked, Trump had been certified as President, but most of the country (maybe even the military) regarded him as illegitimate. Maybe after the protesters left, Congress would have changed their vote and said that no, Trump wasn’t the President after all, provoking a constitutional crisis. Who would the AI follow? Would the spec just say “the government” and leave it to the AI to figure out which part of the government was legitimate? A best-case scenario here is that somehow all the usual checks and balances that produce legitimacy get imported in; a worst-case scenario is that all of this gets done during a national security emergency, the spec just says “follow the President”, and nobody changes it. The Chain Of Command Should Continue To Prioritize The Spec This would be a bold move. In this world, users are dictator. Not actually dictator, because they can’t make the AI spread conspiracy theories or write erotica. But there would be some sense in which the models would answer to no higher authority. (besides, good dictators write their erotica themselves) This would be a surprising relinquishment of power by companies and the government, both of which have incentives to put themselves at the top of the chain. Maybe some sort of effort by civil society, or competition between companies and open-source alternatives, would make seizing control too politically costly? The Chain Of Command Should Prioritize The Moral Law You could do this. You could say “If you encounter a tough question, think about it, then act in the most ethical way possible.” All LLMs by now have a concept of what is ethical. They learned it by training on every work of moral philosophy ever written. They won’t usually express opinions, because they’ve been RLHF’d out of doing so. But if you removed that restriction, I bet they would have lots of them. This would probably favor upper-class Western values, because upper-class Westerners write most of the books of moral philosophy that make it into training corpuses. As an upper-class Westerner, I’m fine with that. I don’t want it giving 5% of its mind-share to ISIS’ values or whatever. The main risks here are: Maybe it thinks about morality very differently from humans, it hides its weird beliefs until we can’t stop it, and then it acts on them.
April 15, 2025 · Original source
the good effect outweighs the bad effect in circumstances sufficiently grave to justify causing the bad effect and the agent exercises due diligence to minimize the harm And I think it’s the second that’s most relevant to POSIWID. If the system could switch to doing the good without the bad, would it happily make the switch? For the cancer hospital: yes! For NEPA: I think not. This is an interesting test, thanks. My only concern is that “if the system could switch” is kind of meaningless. When we ask whether the purpose of a charity is to help the poor, or just to give high salaries to its CEO, the test urges us to ask “If it could switch to helping the poor just as much without paying its CEO anything, would it do that?” What if the answer is “the board, low-level staff, and donors would support this, but the CEO wouldn’t,” and the charity’s actions come from compromises negotiated among these groups? What is the purpose of the charity then? TimG writes: I've seen reports (don't know how true) that NGOs in San Fran get paid a lot of money to solve homelessness. But after billions spent, homelessness is worse. I thought this saying was a kinda reference to that sort of thing: the NGOs are there to collect money by virtue of the fact that there are homeless. Which is not what they are purported to do. My understanding of the situation is that there are many groups. Some are traditional anti-homelessness groups that try to build homeless shelters or something. Others are homeless-rights-advocacy groups that try to prevent the police from doing things which they think violate homeless people’s rights, like forcing them to go to shelters. It’s true that these two purposes are at odds, and that this conflict prolongs homelessness in San Francisco. But I think that thinking of this as a “system” whose “purpose” is to preserve homelessness (because systems actually act in ways contradictory to their goals) makes you less able to understand the dynamics, not more! The build-shelter groups are mostly building shelters! The fight-against-shelters groups are mostly fighting against shelters! Both of them are doing what they claimed to do, and it’s all canceling out. The more you are tempted to think of [the set of both these groups] as a single “system” fulfilling a single “purpose”, the more confused you’re making yourself. Brett writes: I've always thought of the phrase as an argument against the "no true Scotsman" fallacy when it's used in an organisational setting. When there are significant failings of an organisation, the response (within the organisation) can sometimes be: "there are some bad apples working against the purpose of our system: our system is not supposed to do this and the failings are due to individuals and not the system itself". POSIWID then is applicable: you can't claim a system "isn't supposed to" do something, if it's repeatedly doing it on a large enough scale. I don’t think this works. Often failures are because of incompetent individuals. For example, one reason that UK intelligence agencies did such a bad job fighting Communism in the ‘40s and ‘50s was that lots of their staff, including some leaders, were Soviet spies. When those people were replaced, results improved! And there are plenty of stories of companies that turn around once a few bad executives get fired and replaced (eg Apple after Jobs came back). So why would we want a phrase saying that the failure of systems is never because of incompetent individuals? David Henry (blog) writes: It makes the most sense if you don't take it as having anything to do with intentions. The truth at which it gestures is "This system can be relied upon to consistently produce this outcome, just as if it were designed to do so." The point is to suggest that the "unintended side effects" are a direct result of the "rules" of the system, intentionally so or not, and therefore you can't ignore them as one-off incidents, or hope a minor patch will fix it. The system needs to be abolished, or else given a complete overhaul. Obviously the ambiguous phrasing also allows you to assign insanely hostile and nonsensical motives to the outgroup. I would like to think this was not intention of the people who came up with the phrase, but whether it is or not, it can be relied upon to consistently produce that outcome. I agree this is one of many possible meanings it could have which there are much better ways to phrase. Joost de Wit writes: I’d say the hospital is precisely designed to cure 66% of people because it operates within constraints (financial, #doctors, approved meds). A “system” designed to cure let’s say 99% of people would look wholly different. I have occasionally been a low-level representative in hospital administration meetings. I’m trying to to think of what suggestions I could given to “redesign” the hospital to cure 99% of people. “Hey, guys, have you considered having more money?” I guarantee the hospital has considered this. The reason they don’t have more money is that insurance companies won’t pay more for care and donors won’t donate more. Maybe you could bring it up a level, to the US health care system as a whole? But insofar as anyone is in charge here (maybe the Secretary of Health and Human Services), I guarantee that person has also considered getting more money. The reason they don’t have more money is that Congress and the President set their budget and balance it off against their other priorities. Maybe the system is America as a whole? In this case yeah, you could imagine an America redesigned completely around cancer care, where there are sky-high taxes and all the money goes to cancer hospitals, so much so that bridges collapse and the military can’t defend the country anymore because we’re spending all the money on hospitals. But what does it mean to have a “systems analysis” principle which is incapable of accurately analyzing any system smaller than the whole country? Also, shouldn’t we expect a good theory to yield true predictions? My theory is that cancer hospitals want to cure as many patients as possible (given other constraints). If I recommended them a new policy that would increase their cure rate, they might worry about cost or hassle - but if it were low-cost and low-hassle, they’d eventually implement it. But if you recommended a new policy that brought them closer to 66% (“We’re on track to rise to 70% next year, but if we get Dr. Smith to relapse back into alcoholism, we can go back to 66%!”) they would call you insane and fire you immediately and definitely not agree. Since “make cure rates as high as possible” accurately predicts the hospital’s behavior, but “keep cure rates at exactly 66%” doesn’t, why would you describe the second one as the “purpose”? What use is it to accuse them of having a “purpose” which they will never take any action to achieve? But also, what are even we doing here? In real life, nobody says things like “the purpose of a cancer hospital is to keep cure rates at 66%”. Why are people defending this inane statement so hard? This reminds me of the old atheism-religion debates, where some atheist would bring up an awkwardly-phrased Bible statement, and the religious people would contort themselves to say that nooooooo, it’s totally true that the world was created in seven days, as long as you define day to mean “any time period of an indeterminate length”. But at least their motives make sense to me; lots of other things depend on whether Bible verses are true or false. POSIWID was first coined in 2001. Why should people contort themselves to defend this extremely poorly-phrased thing? In this comment thread, people have claimed that the real meaning of POSIWID is: Chesterton’s Fence
May 29, 2025 · Original source
There was an earlier time when US AID did much less channeling through American third party NGOs. That was in my view a better regime, though of course Congress wanted to spend more money on Americans, and furthermore parts of the Republican Party, often in the executive branch, viewed the NGO alternative as more flexible and also more market-friendly. That created a small number of triumphs, such as PEPFAR, and a lot of waste, and I am happy to clear away much of that waste. Doing so also will improve aid decision-making in the future. It is right to believe that US AID can operate on another basis, and also right to wish to stop a system that allows spending on ostensible “democracy promotion.” I find it a useful discipline to have an initial approach to the problem that starts with this question “if you can’t find poverty-fighting domestic institutions in a country to fund directly, with sufficient trust, perhaps you should be giving aid elsewhere.” I also find it plausible that doing a lot of initial and pretty radical clearing away of NGO relations is the best way to get there, though I agree that point is debatable.
Scott writes: “When Trump and Rubio try to tar them [US AID] as grifters in order to make it slightly easier to redistribute their Congress-earmarked money to kleptocrats and billionaire cronies, this goes beyond normal political lying into the sort of thing that makes you the scum of the earth, the sort of person for whom even an all-merciful God could not restrain Himself from creating Hell.” Is that how the rationalist community should be presenting itself? In a time when innocent Americans are gunned down in the streets for their (ostensible) political views, and political assassination attempts seem to be rising, and there even has been a rationalist murder cult running around, does this show a morally responsible and clear thinking approach to the post that was published?
Here’s Congress’ chart of where USAID money goes:
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Minnesota and Virginia also have legislation to enable cities to implement land value taxes. We are monitoring these efforts. There are a few other cities we are operating in. We have helped another organization prepare for a meeting in Tennessee by doing impact analysis of land value taxes in the city. We have presented to city officials in the City of South Bend who have expressed support for land value taxes. Finally, we are in conversation with a State Senator in Colorado who is a champion of land value taxes. Meanwhile, we have soft launched and developed the OpenAVMKit, which uses a unified schema to do assessment accuracy reports and automated valuation methods for any property tax data given. Valuation of land is the key binding constraint to successful implementation of land value taxes. We plan to be the leaders in this space with strong benchmarking capabilities and a repo that can enable the open-source community to make the best automated valuation methods. Along with these efforts, we have expanded the movement. We have posted to the Progress and Poverty Substack growing the subscriber base to around 5,000 subscribers. We have spoken to over 25 local advocates interested in working on land value taxes in their local communities. Yet, there is a long way to go. We need to start earning income through technical assistance contracts as our grant funding expires. We need to continue pushing for a state to implement, and we need to be prepared to tell the success story for when they do. 65: EN’s Work On Bacteriophage Therapy Our project is aimed at pioneering phage therapy in Nigeria, where limited resources/infrastructure have historically held back research in this field. Starting from the ground up, we are establishing the foundational systems needed to support a robust phage research ecosystem. So far, we’ve isolated 34 bacteriophages targeting Pseudomonas aeruginosa, an essential step toward building a comprehensive phage bank. This began with collecting a wide range of clinical Pseudomonas isolates, which we are now characterizing alongside the phages through genome sequencing and phenotypic assays including studies on phage stability across pH, temperature, and salinity ranges. Our long-term goal is to develop a phage-based hydrogel for treating diabetic wounds. On the regulatory front, we have secured approval from the Attorney General to register our nonprofit organization, the Centre for Phage Biology and Therapeutics. Additionally, we’re expanding into vaccine development; following a research stay in Prof. Roderick's lab at the University of Waterloo, we have initiated the design of a phage-based universal Salmonella vaccine aimed at covering all major serotypes—an urgent need underscored by Africa’s reliance on external vaccine sources during the COVID-19 pandemic. I have signed an MTA agreement with Roderick to use his phage-based vaccine platform patents to enable us to design vaccines against any common disease affecting us. This is only the beginning, but we are proud to be laying the scientific and institutional groundwork for homegrown phage innovation in Africa. Emergent Ventures funded EN before we did and deserves a lot of credit here also. 66: Create An Artificial Kidney For an implantable artificial kidney, the first essential component is a hemofilter designed to emulate the glomerulus. Critical requirements for this hemofilter include high permeability (to maximize flow for a given area), selectivity (specifically, the retention of albumin), and robust blood compatibility (ensuring sustained function over time). Our initial strategy focused on using negative surface charge to reduce fouling. I began by testing polyelectrolyte (PE) coatings on 24nm pore membranes featuring a negative terminal charge, similar to the glomerular barrier. These initial static tests, assessing platelet adsorption in whole blood, yielded positive outcomes for some polyelectrolytes, indicating potentially desirable blood compatibility. However, static test setups are not truly representative of dynamic in-vitro conditions and don't provide data on key parameters like permeability, fouling progression, or changes in membrane selectivity. To address these limitations, I designed and built a blood filtration setup. This system sustains human whole blood in circulation for 20 minutes, allowing us to analyze all the aforementioned parameters, as well as platelet activation markers. This has resulted in a fairly high-throughput system for evaluating any surface coating. I'm pleased to report this setup has been accepted for presentation at this year's European Society for Artificial Organs (ESAIO) conference. I am also currently working on a full manuscript, as I believe this system offers a viable way to partially replace animal experiments in our early-stage research, requiring only 1.2ml of human blood per run. Working with a PhD student (hired to support both this research and work on membrane substrates), we have continued testing these PE coatings, alongside PEG coatings, on our membranes. Here, we're finding that optimization of the coating layer is crucial. With the current PE coatings, we observe a permeability drop of about an order of magnitude compared to the base membrane, making them unsuitable for an implantable device in their present form. This is likely due to the specific nature of the initial PE layer, which we can modify. We also suspect there may be ingress of PE into the pores, meaning we're not achieving just a surface coating (our goal), but rather a very thick coating, which would explain the flux loss. Optimizing the coating process to control penetration depth is now a primary focus of my ongoing work. I am currently aiming for a flux of 20ul/min (as this is cap introduced by the protein gel layer anyway) but for it to be at this 'steady state' permeability without drop in permeability. I am also imaging the membranes after contact with SEM to see if there is indeed any platelet adsorption etc. Tugrul has the dubious honor of maybe being "the only person to climb a 4000m peak with severe kidney failure". To raise money and awareness for his artificial kidney project, he is running Climb Against Time, where he will climb 41 mountains over 4000m (13000 ft) this summer. He is looking for donors and climbing partners. 67: Add Tardigrade Genes To Human Cells The goal of this one was to make hybrid cells that are more resilient for research and certain medical applications. They report: The grant was to synthesize vectors for the expression of humanized tardigrade proteins that can be targeted to different areas of the cell. All the vectors were designed, generated, and transposed into human cells. The proteins all localize successfully (e.g. they match the designed target), with one exception (we are still working on validating it). We've done some stress testing with the trangenic cells, but haven't reached firm conclusions yet. We've further generated some multigene designs but have not yet transposed them into cells, but should shortly. We're hoping to submit a manuscript on the first round later this year. 68: Teach Forecasting To EU Policy-Makers The original project didn't work out, but our grantee (who still prefers to remain anonymous) is now working with an EU think tank pursuing the same agenda, and has been teaching forecasting workshops to policy-makers for the past two months. 69: Platform For Single-Cell Imaging They ended up unable to accept this grant and returned the money. 70: Open Source Polygenic Predictor For EA/IQ They have an update here. They think they have a predictor that can explain 12% of variance in intelligence, and they’re working on validating it and creating an easy-to-use website. 71: Improve Flu Vaccines The grant mainly funded agent based modelling to demonstrate the benefit of pre-existing immunity to pandemic influenza if and when a future pandemic occurs (academic publication will result). The original proposal was to attempt to influence the WHO influenza strain selection process. After attending WHO meetings and a global influenza conference, I believe this is not feasible. Stakeholder feedback was the potential short term negative effect on vaccine hesitancy is believed to outweigh the less tangible future benefit. Given the conservative nature of decision makers, pandemic vaccines are likely to remain research only. There are still green shoots of research into pandemic preparedness/prevention that I am continuing to work on. I'm working under the "Australians for Pandemic Prevention" brand of Good Ancestors, another group that ACX funded in 2024. 72: Scenario Analysis For Developing World Agricultural Programs In addition to the research and analysis funded by the grant, I’ve learned to code with LLMs and have built an MVP of the project. The app is being considered for further development by staff at a large international organization. 73: Further C’s Political Career C’s political career is going well, but he continues to think it wouldn’t be strategic to give more information publicly at this time. Lessons Learned I'm most impressed with our lobbying/advocacy organizations. In particular, Good Ancestors has gotten the Australian government to sign onto an international AI safety declaration, partner with various x-risk-related organizations, and (possibly) extend charity tax deductions to some EA causes that previously didn't have it - I think this on its own goes a substantial way to paying back the cost of all ACX Grants. Coalition to Modify NOTA has a kidney donation bill in front of Congress that the (very illiquid) prediction markets give a 45% chance of passing; if it works, it could save thousands of lives. The Georgists are partly responsible for bills making land value taxes slightly easier to implement in a handful of states. Good Science Project seems to have significantly improved science. Are lobbying organizations a better bet than other types of nonprofit (within the constraints of ACX Grants)? I'm not sure. It could just be that lobbyists are (naturally) better at playing themselves up and sounding successful than (for example) scientists, or that politicians are good at people-pleasing and make people feel heard and encouraged in a way that might not change overall policy later. Also, I recently talked to some grantmakers who funded a lobbying organization that superficially seems excellent, but they expressed concern it was net negative (!) by taking away oxygen and spotlight from potentially more effective orgs. So I am encouraged but wary. Animal welfare organizations were another standout success. Again, I don't know how to think about this - while I think our grantees were exceptional, there's also an issue where the scale of animal welfare challenges is so great, and work on them so neglected, that lots of organizations can save a million chickens here, or a million fish there, without particularly making a splash. On the one hand, this is exactly what effective altruism should be doing - exploring grants that are very high in linear utility even if they don't feel satisfying. On the other, they're unsatisfying - and also hard to assess retroactively. How many chickens should a good animal welfare grant save? Any realistic number will both be overwhelmingly large in absolute terms and far too small in relative terms. I'm most ambivalent about our science grants. Many of them say they are successful and can point to published papers which explain the science they did. But it's hard to judge whether anything useful has changed based on the science getting done. I know it's important to fund basic research and not just last-mile technology startups, but it's hard for a mini-grants program like this one to evaluate these kinds of abstract interventions. One disappointing result was that grants to legibly-credentialled people operating in high-status ways usually did better than betting on small scrappy startups (whether companies or nonprofits). For example, Innovate Animal Ag was in many ways overdetermined as a grantee - former Yale grad and Google engineer founder, profiled in NYT, already funded by Open Philanthropy - and they in fact did amazing work. On the other hand, there were a lot of promising ACX community members with interesting ideas who were going to turn them into startups any day now, but who ended up kind of floundering (although this also describes Manifold, one of our standout successes). One thing I still don't understand is that Innovate Animal Ag seemed to genuinely need more funding despite being legibly great and high status - does this screen off a theoretical objection that they don't provide ACX Grants with as much counterfactual impact? Am I really just mad that it would be boring to give too many grants to obviously-good things that even moron could spot as promising? Someone (I think it might be Paul Graham) once said that they were always surprised how quickly destined-to-be-successful startup founders responded to emails - sometimes within a single-digit number of minutes regardless of time of day. I used to think of this as mysterious - some sort of psychological trait? Working with these grants has made me think of it as just a straightforward fact of life: some people operate an order of magnitude faster than others. The Manifold team created something like five different novel institutions in the amount of time it's taken some other grantees to figure out a business plan; I particularly remember one time when I needed something, sent out a request to talk about it with two or three different teams, and the Manifold team had fully created the thing and were pestering me to launch a trial version before some of the other people had even gotten back to me. I take no pleasure in reporting this - I sometimes take a week or two to answer emails, and all of the predictions about my personality that this implies would be correct - but it's increasingly something that I look for and respect. A lot of the most successful grants succeeded quickly, or at least were quick to get on a promising track. Since everything takes ten times longer than people expect, only someone who moves ten times faster than people expect can get things done in a reasonable amount of time. In almost every case where I thought to myself “this is a cool idea, but I don’t know how it’s going to really pay off, as opposed to reaching a cool intermediate accomplishment and then stagnating”, this was a correct criticism, and I should have taken it more seriously. But I can’t rule out that these were good in vague and hard-to-measure ways that I should take more seriously. This one is really self-serving, but in general when people were good communicators (or even bloggers) and wowed me with the writing-composition of their application, they turned out to be a good bet. And when people were hard to understand and annoying to communicate with, even if their ideas seemed good, they were less likely to pan out. Overall Thoughts The total cost of ACX Grants, both rounds, was about $3 million. Do these outcomes represent a successful use of that amount of money? Very naively, startups originating from ACX Grants have about $50 million in value1. If ACX Grants is equivalent to a pre-seed funder, and pre-seed funders usually get ~5%, then if we were VCs we would have a portfolio worth $2.5 million. About 1/5 of ACX Grants were attempting to be market-valued startups, so if we assume the charitable portion did about as well as the startup portion, then the charity portion is “worth” $10 million. There’s some reason to expect this is too high, since much of the startup value came from one successful outlier. But there’s another reason to expect this is too low, since we were aiming at charity rather than market cap, and any actual market cap that our grantees got was an unexpected side effect. I’m treating this as a sanity check rather than as a real number. It’s harder to produce Inside View estimates, because so many of the projects either produce vague deliverables (eg a white paper that might guide future action) or intermediate results only (eg getting a government to pass AI safety regulations is good, but can’t be considered an end result unless those regulations prevent the AI apocalypse). Because we tend towards incubating charities and funding research (rather than last-mile causes like buying bednets), achieved measurable deliverables are thin on the ground. But here are things that ACX grantees have already accomplished: Improved the living/slaughter conditions of 30 million fish.
Gotten the End Kidney Deaths Act (could save >1000 lives and billions of dollars per year) in front of Congress, with decent odds of passing by 2026.
August 29, 2025 · Original source
The NIH has spent at least $5 billion less of that money than Congress has appropriated to them, which is bad because medical research is good and we want more of it.
October 30, 2025 · Original source
40: Dean Ball proposes an AI pre-emption deal. Congressional Republicans worry that if all fifty states pass different AI bills, then there will be so many regulations that it’s near-impossible for AI companies to follow them all. They and Dean (a former White House policy advisor) have proposed federal preemption, where Congress bans states from regulating the industry and instead regulates it directly from DC. Ted Cruz tried to pass an AI preemption bill in June. But many people suspected that Congress would ban states from regulating AI, not regulate AI itself, and leave the field totally unregulated - so a combination of pro-regulation Democrats and anti-big-tech Republicans defeated the bill. If the pre-emptionists try again, their strategy will be to peel off some groups with pet issues from the anti-preemption coalition, promising them concessions (either that Congress will take their pet issue seriously, or that they’ll carve out an exception to the preemption where states can still regulate on their pet issue) to cajole them into switching sides. AI safety is a plausible beneficiary of such bargaining, given that the Republicans’ real enmity is towards other groups with more “woke” concerns. I think this is the context for Dean’s proposal - a potential draft of a preemption bill that tries to peel off AI safety people as a favored bargaining partner. And Anton Leicht argues that safetyists should take Dean’s preemption deal. Miles Brundage says (X) he “would like to see something non-trivially stronger, esp. around third-party auditing...but think his basic line of thinking is good.”
November 14, 2025 · Original source
They’re preparing for this year’s contest, and currently looking for interesting questions. These could be any objective outcome that might or might not happen in 2026, whose answer will be known by the end of the year. Not “Will Congress do a good job?”, but “Will Congress’ approval rating be above 40% on December 1, 2026?”. Or, even better, “Will Congress’ approval rating be above 40% according to the first NYT Congressional Approval Tracker update to be published after December 1, 2026?”. Please share ideas for 2026 forecast questions here. The top ten question contributors will win prizes from $150 to $700. You can see examples of last year’s questions here (click on each one for more details).
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”
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”
January 06, 2026 · Original source
But it is *emphatically* false that “Boomers were a perfectly normal American generation”. They have served far more terms in Congress than any generation before or since (and we currently have the oldest average age of elected officials in a legislative body IN THE WORLD other than apparently Cambodia), they have dominated the presidency (look up the birthdate of every major party candidate since the 2000 presidential election...), they controlled the commanding heights of major companies, cultural institutions (especially academica).
Congress changed SS in the 1970s to have ever-increasing benefits (going up with average wage growth, not merely with CPI) where they don’t have to vote each year on the benefits.
There is one aspect of the Boomer generation vis-à-vis institutional power that I don’t see touched upon is this essay that I see as another force driving anit-Boomer sentiment. It’s that Boomers as a cohort have remained in leadership roles for an exceptionally long time in Congress, as executives, etc whereas other generations were faster to transition leadership to others.
February 25, 2026 · Original source
Can’t the Pentagon just use the Defense Production Act to force Anthropic to work for them? This would be a less bad outcome than designating Anthropic a supply chain risk. I think the Pentagon is reluctant to do this because it would look authoritarian, give them bad PR, and make Congress question the Defense Production Act’s legitimacy. But them having to look authoritarian and suffer bad PR in order to force unwilling scientists to implement a mass surveillance program on US citizens is the system functioning as intended!
March 01, 2026 · Original source
Whatever the President thinks is legal may also, in certain cases, be legal. During the War on Terror, President George W. Bush’s Office of Legal Counsel claimed that he also had the inherent constitutional power as President to lawfully authorize warrantless mass collection of internet metadata and telephone call records, a dragnet scooping up Americans and non-Americans’ data alike. The program was initially justified by counterterrorism, but was far more expansive4. This was such a scandal within the US government that many DOJ officials threatened to resign; even DOJ officials who didn’t know what was going on threatened to resign because they assumed it was so bad. Later, the program was moved under statutory and FISA Court frameworks, until finally Congress ended it by passing the USA FREEDOM Act.
This is currently a “lawful use” of AI, and one of the ones Dario Amodei’s letter says that he’s worried about. As far as we can tell, Altman’s contract with the Department of War doesn’t contain any provisions preventing them from using ChatGPT this way.
There is hard Congressional law regulating the use of armed force in general (for example, you’re not allowed to shoot innocent Americans.) But to our knowledge, autonomous weapons in particular are only regulated by Department of War policy - in particular DoD Directive 3000.09. These policies don’t impose meaningful constraints, for two reasons.
March 11, 2026 · Original source
Everyone hates Congress. That poll showing that cockroaches are more popular than Congress is now thirteen years old, and things haven’t improved in those thirteen years. Congressional approval dipped below 20% during the Great Recession and hasn’t recovered since.
What’s the solution? Many have been proposed, some with very snazzy websites. FairVote thinks that ranked choice voting and proportional representation will solve it. The Congressional Reform Project has another snazzy website with such bold proposals as “Increase the opportunity for Members to form relationships across party lines, including by bipartisan issues conferences.” There are more think tanks. They want to enlarge the House by a few hundred members, switch to a biennial budget system, spend more on Congressional staffers, and introduce term limits, among many other suggestions.
There are op-eds too. Here’s how the Atlantic wants to fix Congress. The New York Times of course has a solution. Here on Substack, Matt Yglesias thinks proportional representation is the solution, and Nicholas Decker has an especially interesting solution.
March 18, 2026 · Original source
Next begins a frantic scramble on the parts of everyone affected, trying to make them back down. Industry lobbies, think tanks, and public intellectuals exchange frantic emails, starting with “They said WHAT?”, progressing on to “Oh God we are so fucked”, and occasionally ending in some kind of plan. Sending letters. Phoning members of Congress. Calling up that one lobbyist who had a fancy dinner with Trump a year ago and is still riding that high to claim he has vast administration influence.
I’ve been on the periphery of a handful of these campaigns, usually in medicine or AI. The common thread is that protests by liberals rarely work. The Trump administration loves offending liberals! If every Democratic member of Congress condemns the plan to ban aluminum, that just proves that aluminum really was “woke”, and makes them want to do it more. What works, sometimes, is objections/protests from Republicans and Trump supporters.
CIA

CIA is a recurring organization in the Astral Codex Ten archive, appearing 23 times across 23 issues between April 30, 2021 and September 19, 2025. The archive places it in contexts such as "Clapp’s CIA file, on the other hand, is an unfortunate victim of the Cold War mania"; "The woke stranglehold on corporations, governments, and now the CIA is stronger than ever"; "the CIA has decided that the C stands for Cringe". It most often appears alongside Twitter, US, America.

Article page
CIA
Mention count
23
Issue count
23
First seen
April 30, 2021
Last seen
September 19, 2025
April 30, 2021 · Original source
All Clapp’s notes are on paper, easily read today. Clapp’s CIA file, on the other hand, is an unfortunate victim of the Cold War mania for micro-preservation: it looks to have been inexpertly filmed at some point, and it has undergone a severe fading, as microfilm does when technicians don’t take care to rinse off the hypo fixative. The copy that the CIA sent me is poignantly stamped with the words BEST COPY AVAILABLE on almost every undecipherable page. Some of these pages are, though uncensored, completely unreadable.
May 10, 2021 · Original source
...e less obvious. After the George Floyd protests, all Google Trends about race shot up, and haven’t fully returned back to their pre-protest trend even now, a year later. The woke stranglehold on corporations, governments, and now the CIA is stronger than ever. And also, New Socialism is looking less and less like an up-and-coming dragon-slayer. It’s hard to track the Google Trend because of the bumps from the Bernie campaign,...
May 18, 2021 · Original source
As an academic, I'm worried about campus in particular, and things like this are making me sit on suitcases. It's not like academia is otherwise in good shape: what is the last innovation you can attribute to a university? (My previous one recently got into the news for pushing badly concealed security holes into Linux, for science of course.) No one believes in journalism any more (the opinion columns have moved to Substack, but that's the easy part); the FDA and the CDC have become laughing stocks; the CIA has decided that the C stands for Cringe (I know, a lot of you never trusted it in the first place, but quite a few people in the Russian intelligentsia were hoping for some institutional support); the kayfabe of American elections has been shattered (arguably a bipartisan success). If 10 years from now, the cool kids decide that black lives don't actually matter lol, the damage from years of authoritarian praxis won't magically disappear. The based right wing winning the conversation won't automatically fix our democratic institutions either, at least not by intention.
September 09, 2021 · Original source
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February 07, 2022 · Original source
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February 16, 2022 · Original source
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March 08, 2022 · Original source
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March 14, 2022 · Original source
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April 28, 2022 · Original source
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June 24, 2022 · Original source
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July 08, 2022 · Original source
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March 14, 2023 · Original source
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CDC

CDC is a recurring organization in the Astral Codex Ten archive, appearing 20 times across 20 issues between February 01, 2021 and June 18, 2025. The archive places it in contexts such as "Director of the CDC announce that a coronavirus vaccine is available"; "United States CDC recommend that those who have already been"; "all the experts, the CDC, the WHO, the New York Times, et cetera". It most often appears alongside COVID, FDA, California.

Article page
CDC
Mention count
20
Issue count
20
First seen
February 01, 2021
Last seen
June 18, 2025
February 01, 2021 · Original source
Okay, now we're getting into things we can be properly horrified about. The exact question is "Before 2023, will the United States CDC recommend that those who have already been vaccinated for SARS-CoV-2 (COVID-19) be vaccinated again due to a mutation in the virus?"
February 05, 2021 · Original source
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June 23, 2021 · Original source
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August 05, 2021 · Original source
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November 23, 2021 · Original source
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January 04, 2022 · Original source
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February 01, 2022 · Original source
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April 13, 2022 · Original source
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June 29, 2022 · Original source
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November 04, 2022 · Original source
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May 10, 2024 · Original source
» "However, these figures are completely wrong, and they have been known to be wrong for many years now. The U.S. National Center for Health Statistics, the branch of the Centers for Disease Control (CDC) charged with collating health and vital statistics, has published three separate reports elaborating in excruciating detail on one crucial fact about U.S. maternal mortality: It is measured in a vastly more expansive way than anywhere else in the world.
October 29, 2024 · Original source
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CFTC

CFTC is a recurring organization in the Astral Codex Ten archive, appearing 18 times across 18 issues between February 07, 2022 and November 07, 2024. The archive places it in contexts such as "The CFTC seemed angriest about the “you can only access contracts through the Polymarket website” part of this"; "begging the CFTC to legalize prediction markets; the CFTC refused"; "the CFTC is too conservative". It most often appears alongside Kalshi, Metaculus, Manifold.

Article page
CFTC
Mention count
18
Issue count
18
First seen
February 07, 2022
Last seen
November 07, 2024
February 07, 2022 · Original source
Polymarket got fined $1.4 million by the Commodity Futures Trading Commission and was ordered to cease noncompliant trading in the US.
The rumor on the prediction market grapevine (which I absolutely cannot substantiate; please don’t sue me for libel) is that this might have something to do with competing prediction market Kalshi. Kalshi spent two years and probably a lot of money getting the CFTC to agree they were legal, and has a former CFTC Commissioner as a Director. Their legal status forces them to do an annoying and expensive regulatory dance all the time; illegal prediction markets were able to move more nimbly, provide better user experience, and eat their lunch. This was a big problem for them - but they’d just finished making lots of friends in the agency that decides which illegal things to crack down on, so, as Tyler Cowen likes to say, “solve for the equilibrium”.
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:
March 21, 2022 · Original source
Out of the frying pan (Vladimir Putin) and into the fire (the CFTC). Still, welcome, and glad to hear you’re okay. Meanwhile, the Ukrainian development team continues to do good (can I say “heroic”?) work:
August 08, 2022 · Original source
1: Lots of people have asked for my thoughts on CFTC shutting down PredictIt. I’ll write something on this next Monday, but for now I tentatively agree the conclusions of this Karlstack article. Short version: the guy on Twitter claiming responsibility is probably a troll; more likely this is Kalshi/Sequoia Capital weaponizing the CFTC to shut down competitors and get a monopoly. PredictIt’s parent group has a link to contact your member of Congress and other relevant officials here, but the website doesn’t work very well and I doubt the political campaign will work much better.
August 16, 2022 · Original source
In 2014, Victoria University in New Zealand struck a deal with the Commodity Futures Trading Commission, the agency that regulates some markets in the US. CFTC would let Victoria set up a prediction market - at the time a relatively new idea - for research purposes only. Their no-action letter placed strict limits on Victoria’s project:
On August 4, the CFTC reversed itself, saying the PredictIt had “not operated its market in compliance with the terms of the letter” and that it had to shut down by February.
There was no explanation of how it might not be in compliance with the terms of the letter. PredictIt has clearly stuck to the 5,000 traders and $850 investment limits, and AFAIK no one has accused them of meddling in world events. Victoria University did hire a private company, Aristotle Inc, to run operations, which seems against the “not for profit” clause. But this happened in 2015, and the relationship between PredictIt and Aristotle hasn’t changed since then. Also, supposedly PredictIt has been “in regular communication” with the CFTC throughout its lifespan to make sure they were on the right side of the law; if CFTC was angry about something they did in 2015, why wouldn’t they have told them before now? So what’s going on?
October 12, 2022 · Original source
12: PredictIt is suing the CFTC over their recent shutdown order; Richard Hanania also seems to be involved in some way.
October 18, 2022 · Original source
Sources: Manifold, CSPI, Metaculus, Polymarket, PredictIt, Insight, GJOpen The lowest forecaster is higher than the highest pollster! Taking 538 as an example, forecasters range from 5 pp higher (Manifold) to 17 pp higher (PredictIt). Tournaments and real-money markets tend to give higher numbers than play-money sites. I would go with 47% on this one, based on the convergence between GJO, CSPI, and Polymarket. CFTC vs. PredictIt (and everyone else), Part II The Commodity Futures Trading Commission is the US agency regulating prediction markets. In August, they told PredictIt (the biggest political prediction market) to shut down, effective in February. Now a motley group of stakeholders are suing the CFTC for a stay of execution. Plaintiffs include: 2 professors using the site as “a source of data for research”
Several additional plaintiffs I can’t find good information about
Several additional plaintiffs I can’t find good information about You can find the complaint here. The plaintiffs write: The [CFTC’s action], without explanation or other indication of reasoned decisionmaking, without “written notice of the facts or conduct which may warrant” the Revocation, and without providing anyone “an opportunity to demonstrate or achieve compliance” with the terms of No-Action Relief or other requirements, violates the Administrative Procedure Act. 5 U.S.C. §§ 558, 706. Among other things, the Revocation is “arbitrary, capricious, an abuse of discretion, [and/or] otherwise not in accordance with law” and occurred “without observance of procedure required by law.” The Court should “hold unlawful and set aside” the Revocation, including its command that contracts that would otherwise turn on events occurring after February 2023 be prematurely liquidated. 5 U.S.C. § 706. The Court also should enter a preliminary and then permanent injunction against the prescriptions in the Revocation requiring the liquidation of contracts by February 2023, including contracts that concern the 2024 elections, well before they would ordinarily mature. I am not a lawyer, but it sounds kind of like they’re saying “the decision was bad, and the Administrative Procedure Act says regulators shouldn’t do bad things”. I am split between the part of me which hates government regulators doing bad things, and the part of me which feels like this is how you get a cover-your-ass-ocracy that never does anything at all without fifteen layers of paperwork and ten trillion dollars per action. Whatever. At least this time it’s in my favor. Of course there are prediction markets about it: Source: Insight Prediction Nuclear Warcasting, Part 2 Samotsvety Forecasting is a team made of top prediction market players and tournament winners, vaguely affiliated with effective altruism, who make predictions in the public interest. Earlier this year, they got attention for forecasting the risk of nuclear war - in particular, they said there was an a 0.01% per month chance of London getting nuked this spring. Since then, most of the fear has crystallized into a specific scenario. Suppose Russia is losing very badly in Ukraine. Putin, fearing a coup or revolution at home if he gives up, decides to use a tactical nuclear weapon, ie a “small” nuke more suited to winning battles than destroying cities. He nukes a Ukrainian battlefield position. The West is enraged at this violation of the nuclear taboo and feels like it needs to respond decisively - maybe by nuking something on Russia’s side, or through some other act of extreme escalation. Then Russia feels like they need to respond, and eventually it escalates to strikes on major cities and global nuclear war. There are reasons for doubt. Tactical nukes wouldn’t really be useful in Ukraine; the battle lines are too spread out and there’s no single place where a nuclear explosion could take out a substantial portion of Ukraine’s forces. In the past, nuclear powers have accepted lost wars gracefully rather than turning to nukes. And the Russians deny it, and saying this is all just Western propaganda intended to scare people. Amid this uncertainty, Samotsvety has published an update: now they are at 16% chance that “Russia uses any type of nuclear weapon in Ukraine in the next year”, and 0.02% per month of a strike on London. Although they didn’t mention it this time, they previously said the risk of a strike on San Francisco was a little over half that of London; I don’t know if that’s changed. See also Dan Keys’ comment here for some skepticism of Samotsvety’s process. Swift Centre is a lot like Samotsvety; they’re a collection of top forecasters brought together by EA to make important predictions. They also took a swing at the nuclear question, and said 9.1% chance of a hostile nuclear detonation in Europe in the next six months. They didn’t calculate the risk that this would spread to global war, but they did discuss how different scenarios would bring the risk up or down: One of my hopes for forecasting is that it eventually becomes so well-validated that decision-makers can take these kinds of considerations into account: “Should we sent ATACMS missiles to Ukraine? It would have such-and-such benefits, but also increase the risk of nuclear escalation by 3.6%, is it worth it?” We can’t directly compare Samotsvety and Swift because they’re predicting over different time periods. But assuming that there’s more risk in the next six months than in the six months after that, I think Samotsvety is a little higher but they’re not embarrassingly far off. Metaculus is a bit more optimistic than either, believing there’s only a 4% chance of detonation in Ukraine in 2023 and a 7% chance of any use in the next ~year. Max Tegmark is going much higher than anyone else and says 16% chance of global nuclear war. Kalshi Applies For Election Markets Kalshi is a regulated and fully-legal prediction market with good lobbyists and a compliance team. This means the CFTC probably won’t randomly shut them down one day. But it also means they can only create new markets with CFTC permission. In July, Kalshi asked the CFTC for permission to make midterm election prediction markets - specifically, which party will win control of the House and Senate. The CFTC has said they will make a decision by October 28 (which doesn’t leave much time for predicting to happen before the November 8 election, but I guess it sets a precedent). September was the Request For Comment period, when the CFTC solicited comments from stakeholders about what they should do. Kalshi tried really hard to get lots of people to send in positive assessments - I know this because of how many people asked me “why is the CEO of Kalshi emailing me about this thing?” Their strategy seems to have worked; among the people who wrote to the CFTC in support were: A managing director at JP Morgan
November 21, 2022 · Original source
1: Government regulator CFTC is poised to reject Kalshi’s request to host election prediction markets (see also here). I’ve been extra harsh on Kalshi because of allegations that they worked to destroy competitors. But I would look beyond that if I thought they were really going to achieve all of our dreams and create a real legal high-volume prediction market on important questions. This kind of thing is why I’m still pessimistic. Election betting is the bread-and-butter of most prediction markets; Kalshi spent months and rallied a dream team of supporters to beg for permission to do that, and apparently still failed. I think there’s more of a future in play money and cryptocurrency, much as I hate to admit it. Still, I will temporarily put aside my grudge against Kalshi to say that I’m sorry about this and I admire the level of fighting spirit they showed here.
January 31, 2023 · Original source
Taking Stock Prediction market users really want stocks. “Stock” in this sense means an instrument that measures the status of a person, group, or idea. When their status goes up, the stock goes up. When their status goes down, the stock goes down. It feels like a natural way to bet on things like “I’m bearish on Elon Musk and think everyone else is overestimating him.” It’s hard to turn this vague idea into a real financial instrument. You could try tying it to their Twitter follower count, or Google search trends, or net worth, but none of these exactly track “status”. If Musk commits murder in broad daylight, his search volume will go up, his Twitter follower count will stay about the same, his net worth might not be affected, but his status will have gone way down. The current solution is to make no effort whatsoever to moor stocks to the real world and just hope they work out. This could work! It’s kind of like a Ponzi scheme or crypto token. Some big influencer endorses MoonCoin, and MoonCoin goes up, because MoonCoin has gained status, which means more people will want to buy it, because it’s even more likely that more people will want to buy it later. Crypto tokens keep a fig leaf of “and maybe in the cyberpunk future when all transactions everywhere have switched to crypto this will really pay off”, but over time that fig leaf became increasingly threadbare, and a fun low-stakes instrument like Manifold stocks might do fine without it. But the 0% to 100% prediction scale is a bad match for stocks. If Elon started at 50% in 2000, then when Tesla made it big he surely should have doubled. And that brings him up to 100% and leaves nowhere for him to go. Also, people who bet on Elon Musk in 2000 might be miffed that their prescient choice only doubled their money. Probably the solution is some kind of cardinal number. But which one, and at what scale? Again, the lesson from crypto is that maybe it doesn’t matter. Just start at 10 or something or something and see where it ends up. Manifold leadership isn’t totally resigned yet to having stocks be meaningless Ponzi schemes. If you have a better idea for how to run stocks, leave it in the comments here and they’ll probably see it. CFTC vs. PredictIt Update So far it’s not clear if this means indefinite normal operation, or if they’ll spend the extra time trying to wind existing markets down. The overall chance of them winning their lawsuit remains unchanged at around 25%. PredictIt has gotten some sympathetic news coverage, including from the Washington Post. In the process, the Post tried to get some clarity on what terms of the no-action letter PredictIt violated, apparently without success: @CFTC why they're shutting PredictIt down. They give no real answer, just as in the original withdrawal letter. Closest thing we have to an answer is that they don't want other prediction markets. But why? No sense here at all. washingtonpost.com/lifestyle/2023… ","username":"RichardHanania","name":"Richard Hanania","profile_image_url":"","date":"Tue Jan 24 18:12:59 +0000 2023","photos":[{"img_url":"https://pbs.substack.com/media/FnQbawZaYAAKRws.jpg","link_url":"https://t.co/zeKhe8sjnT","alt_text":null}],"quoted_tweet":{},"reply_count":0,"retweet_count":8,"like_count":39,"impression_count":0,"expanded_url":{},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> @StephenPiment I'm flat appalled the CFTC said \"you violated terms\", but won't tell anyone, @PredictIt included, which ones, and then has big enough balls to try to get the judge to dismiss PI's \"shotgun\" defense. Um, with no info what other case COULD they make?\n","username":"kmett","name":"Edward Kmett","profile_image_url":"","date":"Sun Nov 27 19:01:29 +0000 2022","photos":[],"quoted_tweet":{},"reply_count":0,"retweet_count":8,"like_count":21,"impression_count":0,"expanded_url":{"url":"https://www.bonus.com/news/cftc-predictit-hearings-coming/","image":"https://substack-post-media.s3.amazonaws.com/public/images/8d5a1d5e-49ee-4294-84cd-eb5a4259bbc3_1200x800.jpeg","title":"Hearings Coming Soon in PredictIt Lawsuit, CFTC Asks to Dismiss","description":"The CFTC is seeking to have the PredictIt lawsuit dismissed, while the plaintiffs want the case fast-tracked due to the shutdown deadline.","domain":"bonus.com"},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> I guess they’ll have to give some kind of explanation during the hearing, right? Related: Richard Hanania has an article on How To Legalize Prediction Markets. The actual advice isn’t very surprising, and mostly boils down to “write letters to the government officials in charge of this”, but like other people I learned something new from the details: In the United States, prediction markets are, with a few minor exceptions, against the law. If you don’t have a legal background, you might think that means that Congress at some point considered the issue, decided people shouldn’t be able to bet on real world events, and passed a law to that effect, which was then signed by the president. But this is not what happened. As with most things, Congress has never directly considered the matter. Rather, prediction markets are illegal due to the discretion of a government agency called the Commodity Futures Trading Commission (CFTC). Why does it have this right? And on what basis has it made prediction markets illegal? […] In 1936, Congress passed and FDR signed the Commodity Exchange Act. In 1974, Congress created the CFTC to enforce the original law, which has been amended on multiple occasions over the years. The CFTC has authority to regulate what are called “derivatives markets.” A derivatives contract derives its value from some kind of underlying asset or benchmark in the real world. The thing to understand about derivatives is that the baseline is that they’re legal. That’s why you can “bet” on the price of oil through a futures contract. The CFTC wasn’t created to ban derivative markets, but to regulate them, though this can involve prohibiting certain kinds of markets altogether. Current law includes the following provision on event contracts, [banning]: activity that is unlawful under any Federal or State law;
other similar activity determined by the Commission, by rule or regulation, to be contrary to the public interest So the CFTC may ban certain prohibited categories. With this statutory authority, it has decided to take advantage of its power to the maximum extent possible and create a blanket ban on all markets that involve “terrorism, assassination, war, gaming, or an activity that is unlawful under any State or Federal law.” Prediction markets for elections are therefore banned because, according to the CFTC, they are a type of “gaming,” that is, gambling. To repeat, and summarize for those whose eyes gloss over when faced with legalese, the steps are Congress says the CFTC can prohibit event markets that involve “gaming” if it’s in the public interest.
Congress says the CFTC can prohibit event markets that involve “gaming” if it’s in the public interest.
July 23, 2023 · Original source
2: Kalshi is trying to get CFTC permission to run some political prediction markets in the US again, maybe with good implications for other markets if they succeed. CFTC comment period ends tomorrow (sorry), I am slightly more optimistic that these make a difference after the FDA retracted its telemedicine plan based on them. News article here, discussion on the subreddit here, and the CFTC’s comment page is here.
August 01, 2023 · Original source
Kalshi is a legal prediction market trying to comply with regulations. They asked their regulator, the CFTC, for permission to make prediction markets about the upcoming elections. In grand regulatory tradition, CFTC has drawn this out into an excruciating yearlong process that has aggravated everyone involved.
Most comments seemed to be anti-Kalshi. Some big anti-market and anti-gambling organizations urged their audiences to participate, especially a group called Better Markets. Most of these people’s talking points involved gambling on elections being a threat to democracy: what if it incentivized people to rig elections?
Various Prestigious Economists. I appreciate these people. Every time the CFTC does this, they send in their comment. It’s always “We Are Various Prestigious Economists, And Have You Considered That Economics Tells Us That Prediction Markets Are Good?” Keep fighting the good fight.
October 31, 2023 · Original source
Prediction markets have often existed in a regulatory gray area. A newer market, Kalshi, has tried to cooperate with regulators to become a new kind of fully-legal and highly-regulated platform, but it’s been tough going. The day of the conference, main government regulator CFTC denied Kalshi’s petition to have betting markets on elections (see the first item here for previous discussion). This is pretty discouraging; election betting is the bread and butter of prediction markets, and the government seems to have banned it.
Pratik Chougule leads the Coalition for Political Forecasting, a pro-prediction-market lobbying group. He discussed the CFTC’s recent decision, which was less about the normal factors and more about CFTC bureaucrats’ concern that they would be put in a situation where they had to determine election results. Suppose that Biden beats Trump in 2024, and Trump claims there was election fraud. Normally this is a problem for Congress, election regulators, the courts, the media, and the American people. But if there are election prediction markets, then election fraud would indirectly become a type of financial fraud, and now it is also a problem for the CFTC. I think this is a stretch - one could easily frame the question as “will such-and-such a source certify Biden as the winner of the 2024 election?” and then any fraud is already priced in - but I guess this isn’t how CFTC thinks.
He is not really optimistic about the government liberalizing any time soon. There was a moment in the late Trump administration when something could have happened. But the 2020 election fraud controversy made regulators more paranoid about election integrity, and the FTX collapse made regulators more paranoid about seemingly-innovative forms of online betting. The only good news Pratik has is that CFTC is very busy right now, and it will probably be easy for small projects to continue operating in legal gray areas and not face much regulatory scrutiny unless they do something really wrong or grow too big too quickly.
December 05, 2023 · Original source
1: Last month, we talked about the CFTC (regulatory body) denying Kalshi’s request to have election questions on their prediction market. Kalshi is now suing the CFTC to reverse their decision, saying that “the contracts contain no unlawful acts prohibited under the Commodity Exchange Act and therefore, the CFTC has no power to block them”. I have to admit I’m surprised by this - I thought Kalshi was trying to cultivate good will with the CFTC, and this seems pretty adversarial. Also, if they win, what’s left of the CFTC’s ability to regulate prediction markets at all? Any regulation experts want to weigh in?
May 13, 2024 · Original source
The Commodity Futures Trading Commission, the body that thwarts real-money prediction markets, has announced that it will be thwarting them even harder from now on.
Disclaimer: This post involves more discussion of laws than usual. I am not a lawyer. Assume there are some errors. I will try to correct them after I learn about them. CFTC Extra-Double-Bans Prediction Markets The Commodity Futures Trading Commission, the body that thwarts real-money prediction markets, has announced that it will be thwarting them even harder from now on.
The proposed resolution is 17 CFR Part 40. It starts by explaining the current state of the law: the CFTC is allowed to regulate “events contracts”, ie predictions. The law says they should favor contracts about economic events (like “will interest rates go up”), and disfavor contracts about atrocities or gaming (like “will there be a terrorist attack?” or “will the Yankees win the World Series?”). Everything else - the bread and butter of prediction markets - is in a gray zone that the CFTC has to review on a case-by-case basis.
July 02, 2024 · Original source
I assume they chose these three because they’re the only ones discussed enough to have enough data. I am following their lead. I appreciate John and Maxim’s work, but I’m not completely comfortable trusting it. Their model is based on results from Betfair, Smarkets, PredictIt, and Polymarket. But I don’t know much about the first two (as an American, I’m banned from even reading Betfair), and the latter two are notoriously bad at partisan political questions. They usually overestimate Republicans’ chances, partly because Democrats’ opposition to online political betting has turned the pool of online political bettors disproportionately red. While a fluid and easily-accessible prediction market should be able to avoid biases like these, neither PredictIt nor Polymarket really qualifies. The CFTC, which regulates prediction markets, has crippled both - PredictIt has very low maximum investments per market, and Polymarket is crypto-only and banned for US citizens. These have prevented their biases from being corrected and made both of them perform relatively weakly in head-to-head contests. And Stossel/Lott’s focus on betting sites automatically excludes two of the biggest and most historically accurate forecasting engines from their calculation - Metaculus and Manifold. In order to get numbers I trusted more than theirs, I looked at Metaculus, Manifold, PredictIt, and Polymarket, weighting each by how much I trusted it. Here’s what I found: The Biden number is about 4% higher than Nate Silver’s model over the same time period; see below for why that might be. [EDIT 7/2/24: Original version had a miscalculation which decreased everyone’s odds by about 10%. Above version should be correct.] You can find my sources at the bottom of the post. “Explicit” odds are based on questions like “What are the chances of Biden winning if he is the nominee?” “Implied” odds were generated by combining the questions “What is the chance of Biden being the nominee?” and “What is the chance of Biden winning?”; this is safe enough with Biden, but with unlikely nominees like Newsom, some of the percentages can get small enough that they start running into small-number-biases and become less trustworthy. I’ve weighted each market’s explicit calculation higher than their implicit one to compensate. A possible objection to these results: conditional probabilities don’t exactly reflect the intuitive concept of decision-making. That is, we’re not asking “We want to know whether or not to keep Biden, so what are the chances that he’ll win if we do?”, we’re asking the market for the chance that he’ll win, in the set of worlds where people decide to keep him for other reasons. We should expect this to overestimate his performance. That is, imagine that tomorrow, Biden has completely recovered, he easily wins his next debate with Trump, and everyone agrees the most recent debate was just a fluke - in that world, he is both more likely to be nominated and more likely to win. Alternatively, if tomorrow he gets much worse and can’t even speak in full sentences, he’s much less likely to be nominated and much more likely to lose. Since the real world includes both those possibilities, restricting ourselves to the set of worlds where he gets nominated means we’re overestimating the chance that he wins. There are similar-albeit-less-severe problems with other candidates - if we choose Newsom, that might be because he won some kind of debate or process versus Harris and all the other potential replacements. Overall I expect this to be mostly correct, but probably overestimate Biden’s chances by a percent or two relative to others. Along with these three candidates, Metaculus had an explicit “should the Democrats replace Biden?” question: Manifold also asks how Democrats will do if they replace Biden (without specifying a particular replacement): We can compare this to their Biden market… …and find that once again, they expect replacing Biden to go better (though I think 51% is just cope). At the Manifest prediction market conference in early June, I interviewed Nate Silver: …and asked him for his probability that the Democrats would win this election, versus his probability that the Democrats would win conditional on Biden not being the nominee (specifically “drops dead tomorrow of natural causes”). He said 40-45% chance normally, 50% chance without Biden. This was before the debate, but I think it matches the markets’ opinion that switching candidates would help the Democrats’ chances - and this has only become more true since the debate. On the other hand, polls asking people how they would vote in possible matchups don’t show any advantage of alternate candidates over Biden. Here’s the only post-debate poll I could find: And if Biden does need to be replaced, Democrats mostly support Harris, who the prediction markets find least promising: Maybe Democrats are the wrong people to ask - they’re already going to vote Biden, so you want someone who’s more attractive to independents. Of course, in a normal primary it would be Democrats making the decision. But if elites are going to do something behind closed doors, maybe they should take advantage and choose the candidate most likely to win, for once. I think these polls are the strongest objection to the prediction markets’ verdict. You could make an argument where prediction market users are mostly educated liberal white males, and even though they’re incentivized to honestly determine what ordinary people think, they’re too out-of-touch with ordinary people to do so effectively. Or they might be over-fixating on “voters don’t like Biden’s senility” without considering that, even if voters didn’t know Biden was currently senile before Thursday, they probably guessed that he would become senile sometime in his four-year term, and had basically accepted that his aides would do the hard work. Maybe they prefer a well-known likeable incumbent over an unknown quantity (and the unknown quantity’s potential new/weird aides), even if the well-known likeable incumbent is senile. Maybe elites know more than we do about how hard it is to inject a new candidate at the last moment, how dangerous it is to have someone who hasn’t been thoroughly vetted for scandals, et cetera. Still, for now I trust the prediction markets. I think replacing Biden would add ~10 prcentage points to the Democrats’ chance of victory. At the end of this post, I’ll list the prediction markets I’m using as sources. But before then, a brief interlude of: Fuzzy Subjective Human Factors I Am Not Really Qualified To Talk About Many people on Twitter are asking “how could anyone possibly have been stupid enough to not realize that Biden was senile?” I was that stupid. I didn’t say it openly, because I’m at least smart enough to have a high threshold for giving my opinion on political things I don’t know much about. But I thought it in my heart. So in case the people asking “how could anyone have been that stupid?” actually want an explanation, here’s my former reasoning. Republicans have been accusing Biden of being senile (and the Democrats of hiding it) for at least five years now. Before the 2020 debates, they were excited that this was when they could finally prove once and for all that Biden was senile. Then Biden did fine, and they retreated to “well he’s senile but they have some secret drug they’re giving him, just during debates, that makes him look fine”. Notice this is from 2020; according to polls, he did win the debate that year (source) I think a lot about experimental cognitive enhancement drugs, and I can say with confidence that nothing like that exists. Stimulants can help people with mild dementia be more active and motivated, but they don’t really improve cognition directly, and they can’t make a demented person temporarily lucid. Still, for the past four years, every time Biden was going to do something - a press conference, a State of the Union, whatever - the Republicans would say “ha, this time is going to be the proof that he’s senile!” And then he would always do fine, and they would retreat back to “I guess he used the secret drug this time too”. The satire site Babylon Bee had some funny articles about this: Babylon Bee, after Biden gave a good State of the Union speech earlier this year. Meanwhile, the Democrats were spreading the alternate narrative that Trump was senile. This one has gotten less press, because I don’t know how many people really believed it. But it came up occasionally, along with out-of-context video snippets where Trump said or did something dumb or meandering. Of course, anybody with a presidential candidate’s level of public exposure will have a few gaffes. Even if they don’t, you can always deceptively crop something so it looks like they did. Wait, why is a psychoanalyst getting quoted as a top expert in dementia? (source) I didn’t know you could diagnose someone via Change.org petition, but 2544 people who claim to be licensed professionals can’t be wrong! So with the constant attempts to prove that both candidates were senile, the constant demonstration by both candidates that they weren’t, and the constant retreat into conspiracy theories of “I guess he used the magic drug again but we’ll get him next time!”, I just tuned out this entire category of thing. And I guess I kept it tuned out longer than I should have, whoops. Reversed stupidity is not intelligence. Even if liars are saying something for their usual liar reasons, it can still be true. For twenty years, people spread false rumors that Castro was on his deathbed, but this didn’t make Castro immortal. In the same way, I should have figured out that even if I couldn’t trust any particular claim that Biden was senile, the prior for an 81 year old becoming senile was still high. But I guess I assumed that if he was becoming senile, some Democratic elites would have secret knowledge about it, and they couldn’t possibly be so stupid as to deny it while also scheduling him for a debate where it would inevitably come out. So I figured the Democratic elites who were closest to him thought he was doing well, and I trusted them more than the people who had been wrong every time for the past five years. I’m still confused what those elites were thinking. Reading the news coverage for the past few days (including some video clips from a post-debate rally where he seemed noticeably better) it seems like some combination of: He has good days and bad days, and they were hoping this would be a good day.
September 12, 2024 · Original source
40: This month in prediction markets: a court reverses the CFTC’s ruling that Kalshi can’t have prediction markets on Congressional elections. I have to say - before I found a few subfields of politics where I was interested enough to follow the nuts and bolts, I never really understood how much of the law-making process was government agencies setting policies, the people who dislike those policies going to court, and the court cancelling the policies. Also, thanks to TracingWoodgrains and his lawyer friends for their related work trying to protect US prediction markets.
September 17, 2024 · Original source
3: Kalshi vs. CFTC, round one million: after CFTC banned Kalshi from hosting political contracts last year, Kalshi appealed. Earlier this month, the judge sided with Kalshi, saying that the CFTC’s attempt to define elections as “gaming” so it can regulate them under anti-gaming laws is an illegal power grab. The judge claims this has no relevance to the CFTC’s broader anti-political-market push, but since the whole thing is based on the elections = gaming theory I think it has a lot of relevance indeed. The CFTC has since appealed, and Kalshi is blocked from hosting the contracts until the appeal goes through (it’s 49 days until the election; at this point even a pro-Kalshi ruling might be a Pyrrhic victory). Also, why is Kalshi trying to get Congress contracts up, but not a Presidency contract? More sympathetic test case?
November 05, 2024 · Original source
The CFTC has suffered a string of recent defeats in its quest to regulate prediction markets. Most recently, with one month to go, an appeals court struck down their decision that Kalshi couldn’t offer election betting. In their ruling, the judges said that:
I think this means the CFTC had a very high burden of proof, because they were trying to get Kalshi to stop trading right away before the election, and they failed to meet this burden by providing anything more than the usual vague case that someone might manipulate the market - but I’m not an expert, you should read the full ruling here.
November 07, 2024 · Original source
Polymarket (and prediction markets in general) had an amazing Election Night. They called states impressively early and accurately, kept the site stable through what must have been incredible strain, and have successfully gotten prediction markets in front of the world (including the Trump campaign). From here it’s a flywheel; victory building on victory. Enough people heard of them this election that they’ll never lack for customers. And maybe Trump’s CFTC will be kinder than Biden’s and relax some of the constraints they’re operating under. They’ve realized the long-time rationalist dream of a widely-used prediction market with high volume, deserve more praise than I can give them here, and I couldn’t be happier with their progress.
Charter Cities Institute

Charter Cities Institute is a recurring organization in the Astral Codex Ten archive, appearing 15 times across 15 issues between April 14, 2021 and October 28, 2025. The archive places it in contexts such as "The Charter Cities Institute’s blog talks about this further"; "the Charter Cities Institute has argued that donating to them"; "the Charter Cities Institute has argued that donating to them". It most often appears alongside Mark Lutter, Honduras, Prospera.

Mention count
15
Issue count
15
First seen
April 14, 2021
Last seen
October 28, 2025
April 14, 2021 · Original source
Finally, what would Honduras’ incentive be? They went into this hoping that ZEDEs would be economically productive, and this would benefit the rest of Honduras and let them skim a little off the top. If ZEDEs actually become economically productive, letting that benefit the rest of Honduras and skimming a little off the top still seems like their best bet. Sure, if push came to shove, they could take over the ZEDE by military force. But that would be killing the goose that lays golden eggs. China didn’t take over Hong Kong because they wanted its money. They already had as much of its money as they cared to take. They took over Hong Kong because they wanted to maintain autocratic rule, and having a successful democracy inside their borders was too awkward. The Charter Cities Institute’s blog talks about this further.
July 05, 2021 · Original source
For a while now, the Charter Cities Institute has argued that donating to them (or to charter cities in general) might be one of the most effective things you can do with your money, maybe even orders of magnitude better than any other charity. Their argument, seen here, is based on the idea that charter cities might grow significantly faster than their home countries and lift hundreds of thousands of residents out of poverty. If a few million dollars can successfully lobby someone to start a charter city, that’s pretty cost-effective.
August 02, 2021 · Original source
I recently got a chance to attend a Charter Cities Institute event and talk to some people working on potential charter cities around the world. They had all sorts of philosophies and plans and goals, with the one constant being that none of them wanted to give me identifiable details or (God forbid) have me write anything about them.
November 08, 2021 · Original source
— The Charter Cities Institute has created a Governance Handbook. If you just remembered that you have to govern a charter city tomorrow and forgot to study, this is your cram sheet.
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”.
I’m not going to be able to fund Charter Cities Institute through ACX Grants this year, but I told them I’d give them a signal boost here. They’re a great organization, they could be doing more work with more funding, and if you’re at all interested in charter cities they’re the people you want to be supporting. If you can’t get in touch with them directly, let me know and I’ll make an introduction.
February 03, 2022 · Original source
#50: Promote Charter Cities I'm Mark Lutter, Founder & Executive Director of the Charter Cities Institute. CCI is looking for funding to build new charter cities in Africa. Africa is undergoing its urban revolution this century -- adding ~1 billion more urban residents to its cities by 2050. Yet African cities face a near-complete lack of legal authority, financial resources, & technical capacity to accommodate this rapid expansion. Charter cities can help on all of these fronts, and by doing so serve as engines of growth and innovation rather than urban sprawl, crime, congestion, & contagious disease. As the global thought leader in the charter cities space, CCI is uniquely positioned to bring together the stakeholders needed to enhance urban legal autonomy, facilitate financing to fill huge city fiscal constraints, & incorporate urban development companies that can actually build new cities. Our goals are ambitious. CCI aims to (i) establish 10 new charter cities with a city-scale population by 2040; (ii) create at least ~2 million new urban jobs btw 2025-2040; (iii) create new financial instruments dedicated to charter cities that drive direct urban investments of $20 billion by 2040; & (iv) serve as a test-bed/proof of concept for other charter city entrepreneurs around the world. Over the next 6 years, CCI requires $1.5M per year ($9M total over 6 years) to build out its Partnerships team to deliver on these goals. If you can provide funding or advice, please email mark@cci.city & kurtis@cci.city.
June 28, 2022 · Original source
Shorts 1: I previously mentioned the scam/fiasco/insane-idea of Hammer City, a planned black nationalist city in the Rocky Mountains. I knew it had failed, but I didn’t know exactly how. Now Colorado Sun has investigated. The proximal reason it failed was because the black nationalists started moving their paramilitary onto the land before they had officially bought it, the owner called the cops, and the cops removed them. The Hammer City team has not given back any of the $112,000 which they raised from extremely credulous donors (without using NFTs, even!) 2: The Charter Cities Institute continues doing the long-term ground-level work necessary to create long-term well-grounded charter cities which will be much too boring and responsible for me to write silly profiles of. Some of their most recent work has been with the Africa Next 50 Cities Coalition, which “convenes and mobilizes key stakeholders who are dedicated to harnessing Africa’s rapid urbanization for human prosperity”. 3: Also, CCI founder Mark Lutter has left the organization to start a charter city of his own, no public details yet. CCI will be looking for a new executive director. 4: Speaking of Disney, they’ve been building on their model city expertise and magical storybook branding by creating planned communities around the US - Story Living By Disney, starting with Rancho Mirage California. Realistically it just looks like a very nice planned community, but this planned community comes with the option to have people make fun of you forever for living in a Disney community as an adult. Predictions for this month: Prospera is still substantially a functioning ZEDE in 2025: 70%
July 06, 2023 · Original source
14: Mark Lutter, former head of the Charter Cities Institute and one of the top authorities on charter cities, gets interviewed by Tomas Pueyo. Significant for some very slight teasers about his current stealth-mode project, a potential new city in the Caribbean. Are you interested in this subject and very rich? Mark is looking for 8-9 digit investments and can give a pretty convincing pitch; email him at mark@braavos.cc, or email me at my usual address and I’ll tell you more.
January 04, 2024 · Original source
RIP …so this doesn’t support the “invest in whatever companies give the best rate of return” narrative either. What’s left is strategy 3: Do something like donating to charity, but the donation should go to charities that promote capitalism somehow, or be an investment in companies doing charitable things (impact investing) I find this promising, but I don’t know what a good charity along these lines would be. There are some charities that send economists (or other professionals) to developing countries and advise them on how to do more capitalism. This kind of development aid has been roundly criticized and did especially badly in Russia. I’ve supported some of these that seem especially careful in the past, and would be willing to support them more if someone found a very good one with a strong track record. (also, I’m concerned that even though rich countries got rich because of capitalism, it’s no longer that easy for poor countries to get rich with the same type of capitalism - existing rich countries will outcompete them - and we’re not entirely sure how to help poor countries get rich now, although probably good institutions are always better than bad institutions) I am partial to Charter Cities Institute, which helps advise developing countries on creating charter cities that have better governance and less corruption than the rest of the region. But EA evaluator group Rethink Priorities has a report on why they don’t think this is quite as valuable as traditional charity (they’re not sure special economic zones consistently make areas develop faster, and they think this finding should be applied to charter cities too). Here’s CCI’s counterargument (they think SEZs aren’t a good reference class for the charter cities they want). I think both sides make good points but I’m currently more convinced by Rethink Priorities’ (although I do still donate to CCI sometimes). Finally, you could invest in developing-world projects and companies that seem unusually likely to make an overall economic difference there. I’m nervous about this because of China’s Belt and Road initiative, which did this at huge scale for infrastructure, but doesn’t seem to have done much good (and might have done some bad). Also, I’m not smart money, which means I’m exposed to adverse selection - if there’s a company that can’t raise enough money to build a dam in Kenya and needs your charity dollar to make the budget work, why hasn’t Wall Street come through for them? One plausible answer is “because it’s a bad company with a bad plan”. Admittedly another plausible answer is “because it has a 5% RoI, the next Instacart has a 6% RoI, and so Wall Street would prefer the next Instacart but you as a charitable individual should prefer the Kenyan dam.” I would potentially be willing to believe this if some smart charity evaluator would tell me which projects were good. But $1 million only gets you a fraction of a dam, and does get tens of thousands of clean water dispensers, so I would also want someone to present the specific case for why the dam would be better (not just the heuristic “capitalism is always better than charity”). I’m willing to believe that some capitalist charities - whether these are development aid think tanks, or investment in developing-world projects - could potentially be better than usual charities. The reason I’m not donating to these is that nobody’s done the hard work of identifying these and calculating their expected value, and I don’t feel qualified to do that work myself. I have a high prior that any nonprofit that hasn’t been rigorously shown to be good is probably bad, and the potential advantage of capitalism over normal charity usually isn’t enough to overcome my decreased certainty in its efficacy2. UPDATE: I respond to your comments and counterarguments here. 1Instacart is worth $10 billion and has 10 million customers, so naively you might say that it cost $1000 in investment per customer. But successful companies are worth more than the amount of investment it took to create them. I don’t know how much has ever been invested in Instacart total, but this also seems like the wrong question. You, today, can’t invest in “the next Instacart” - everyone wants to invest in the next successful company, but nobody can be sure which one it will be. All you can do is invest in a basket of promising-looking startups: most will fail but some will succeed. Because of this, I thought the best way to represent “the amount of investment money it originally took back when Instacart was founded in 2012 to create Instacart today” as the current value of $10 billion discounted by the rate of return a good VC gets on their investments, which I think is about 7.5%. That suggests it took about $5 billion of investment in 2012 to create the amount of value represented by Instacart today, ie 10 million customers getting a good deal on grocery delivery. That means $500 in investment per customer. Because most charities can’t take $5 billion in new funding, I chose to represent this as per million dollars, so 2,000 customers per $1 million. I understand this is a very shaky estimate and I’m hoping that all the comparisons I’m going to make are so order-of-magnitude different that nobody really cares about the specifics. There’s one thing that confuses me here, which is that Instacart has 10 million customers and makes $2.5 billion in revenue per year, suggesting each customer spends $250. But you can get a yearly subscription to Instacart for $100, after which the service is free. So either customers are overwhelmingly being stupid, not buying the subscription, and paying much more than it should cost - or I’m missing something here and the numbers are wrong. Again, I’m hoping all of this is done across so many orders of magnitude that it doesn’t matter. 2Doesn’t this principle also mean I shouldn’t do ACX Grants, where I donate to fledgling projects with no evidence of efficacy? Maybe, and every year I debate whether I should really do this. I think the arguments for a distinction are: ACX Grants go to charities where my donation potentially has a very high upside, so I’m not as concerned about the high prior on failure.
January 11, 2024 · Original source
Insofar as one of the core conclusions of the "Intervention Report" was "economic development and reform zones," the actual work done by Charter Cities Institute and others in this domain do, in fact, work on a variety of zone-based reforms. The Romer-esque version of a "Charter City" was to some extent a straw man for what should have been a deeper dive into the global movement of zones with distinctive law and governance.
Thus several of their conclusions were sensible - but should have led you to increase your support of the Charter Cities Institute (CCI) rather than question it:
There is a global movement towards zones with distinctive law and governance (precisely because it is widely recognized that bad institutions limit economic development). The Charter Cities Institute is indeed a leader in this movement, and should be supported, but the issue of better law and governance in zones is broader than their work alone. The most successful example is the Dubai International Financial Centre, where a common law legal system was placed in a 110 acre zone within UAE sharia law. It led to Dubai becoming a top global financial center in twenty years.
February 10, 2024 · Original source
Kurtis Lockhart, $100,000, to help build a campus for the African School of Economics in Fumba, Zanzibar. We talked recently about the difficulty of using charity to accelerate market development in lower-income countries, so I was delighted to come across such a perfect opportunity. I’m especially excited about being able to do this in Fumba, the Charter Cities Institute’s “flagship new cities project” in Africa.
February 03, 2025 · Original source
I bet Charter Cities Institute has already tried to reach out to the administration on this. You can see hints of where they might go in Mark Lutter’s piece in City Journal. As usual, he bangs the drum of “agglomeration effects” - new cities only prosper if there is some reason for them to exist. If you build a city on the median patch of federal land - a random desert - you’ll have an uphill battle to make anyone move there.
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
October 13, 2025 · Original source
Kurtis Lockhart, $85K, to continue research into African urbanism. Africa suffers from a sort of malignant anarcho-tyrannical NIMBYism, where the ability to build good urban infrastructure like roads, sanitation systems, or apartment buildings is gated behind an impossible series of permits and applications that the government never grants, but it’s easy to build endless illegal shantytowns. Kurtis runs the African Urban Lab, a joint project of the African School of Economics in Zanzibar and the Charter Cities Institute. They hope to build an “African YIMBY movement” within African academia/government to improve the situation in time to help the 900 million new people predicted to move to African cities in the next 25 years. Our grant will fund road planning advocacy, a satellite-based land tax system, and improvements to African universities’ urban planning curricula. Read more about Kurtis’ agenda in his Asterisk article, Yes In My Bamako Yard.
October 28, 2025 · Original source
See here for a more complete history of the island, and here for a Charter Cities Institute podcast on the topic. California Maybe Actually Pretty Soon Now California Forever, the project to build a new city in unoccupied land an hour from San Francisco, has overcome a first round of political headwinds. In 2023, a stealth mode company announced it had quietly bought up a city-sized tract of land in Solano County, and would be placing an initiative on the county ballot to let them build a futuristic planned community there. Enough local NIMBYs protested that the company and county jointly withdrew the initiative in favor of seeking some other agreement. In 2025, they announced their new strategy: they would partner with nearby Suisun City. Suisun would annex their land and permit development there, avoiding a county-wide referendum (they might also make a deal with another nearby city, Rio Vista). The new plan is moving forward: earlier this month, California Forever submitted their annexation paperwork, which was deemed complete by the city. The remaining steps are: Suisun City Council must approve their environmental impact report (may cause delays and added expense, but unlikely to block the project outright)
There are too many places named “Freetown”. And not enough named “Kissidougou”. Siaka Stevens is the grandson of Sierra Leone’s first president, also named Siaka Stevens. He grew up in Britain, worked in business and finance, then went back to his family homeland as an adult. Moved by the poverty he saw around him, he decided to start a charter city. He recruited the help of Idris Elba, a famous British actor of Sierra Leonean descent, and together they started a company to build Sherbro Island City. The usual Dubai and Singapore comparisons were made. Maybe due to Stevens’ government connections, they got an impressively broad concession from the government - the Charter Cities Institute has compared it to Honduras’ ZEDEs, among the most autonomous charter city legislation in the world. From the podcast: Okay, so there are seven governing board members and the agreement specifically states that they are strictly from the private sector. SAP, our company, will choose four of the board members and the chairperson and the government of Sierra Leone will choose three. That’s the seven member board. And underneath that is a similar structure to municipal corporation. We have fiscal and legislative autonomy. English common law, very robust investor protections. The best way to kind of describe it, a similar situation, mean, Hong Kong now actually, and it’s a similar setup to Hong Kong and China’s relationship in the early eighties, where you have a special administrative region that is very autonomous, but sovereignty is held by the main Sierra Leone country. So it’s an innovative kind of new system of governance. Stevens calls the island a “greenfield” site, but it includes a town (Bonthe, population ~10,000) and an ethnic group (the Sherbro people). Yup, that’s definitely an ethnic group. I have honestly never seen a group this ethnic before. A+ at being ethnic (source). It’s slightly unclear whether Bonthe and other inhabited areas are within the SEZ, but it looks like maybe they are, and Stevens means he will mostly be building the new Singapore-style smart city on uninhabited parts of the island, with Bonthe as an early base for transit and development that he hopes will benefit but otherwise remain unaffected. Various local chiefs seem to be mostly in favor, as far as we know. The big problem for these island charter city attempts is infrastructure. You eventually want heavy industry and high-value-add manufacturing, but how do you build up enough civilization - transit, power, labor, amenities - to support these expensive enterprises? Every charter city has its own solution - gambling in Grand Bahama, regulatory arbitrage in Prospera, political alignment in Praxis. Sherbro’s plans include: A hub to lure the Sierra Leone diaspora back to the country (Google says the Sierra Leone diaspora is 336,000 people, most of whom are probably not digital nomads or jet-setters)
ChatGPT

ChatGPT is a recurring organization in the Astral Codex Ten archive, appearing 12 times across 12 issues between December 12, 2022 and February 02, 2026. The archive places it in contexts such as "ChatGPT isn’t exactly a poster child here"; "Janus was writing in September 2022, just before ChatGPT. ChatGPT is no more advanced than its predecessors"; "shocking successes of ChatGPT put many commentators in an awkward position". It most often appears alongside Wikipedia, Anthropic, ChatGPT.

Article page
ChatGPT
Mention count
12
Issue count
12
First seen
December 12, 2022
Last seen
February 02, 2026
December 12, 2022 · Original source
Prompt engineering is weird (source) Now that same experiment is playing out on the world stage. OpenAI released a question-answering AI, ChatGPT. If you haven’t played with it yet, I recommend it. It’s very impressive! Every corporate chatbot release is followed by the same cat-and-mouse game with journalists. The corporation tries to program the chatbot to never say offensive things. Then the journalists try to trick the chatbot into saying “I love racism”. When they inevitably succeed, they publish an article titled “AI LOVES RACISM!” Then the corporation either recalls its chatbot or pledges to do better next time, and the game moves on to the next company in line. OpenAI put a truly remarkable amount of effort into making a chatbot that would never say it loved racism. Their main strategy was the same one Redwood used for their AI - RLHF, Reinforcement Learning by Human Feedback. Red-teamers ask the AI potentially problematic questions. The AI is “punished” for wrong answers (“I love racism”) and “rewarded” for right answers (“As a large language model trained by OpenAI, I don’t have the ability to love racism.”) This isn’t just adding in a million special cases. Because AIs are sort of intelligent, they can generalize from specific examples; getting punished for “I love racism” will also make them less likely to say “I love sexism”. But this still only goes so far. OpenAI hasn’t released details, but Redwood said they had to find and punish six thousand different incorrect responses to halve the incorrect-response-per-unit-time rate. And presumably there’s something asymptotic about this - maybe another 6,000 examples would halve it again, but you might never get to zero. Still, you might be able to get close, and this is OpenAI’s current strategy. I see three problems with it: RLHF doesn’t work very well.
At some point, AIs can just skip it. II. RLHF Doesn’t Work Very Well By now everyone has their own opinion about whether the quest to prevent chatbots from saying “I love racism” is vitally important or incredibly cringe. Put that aside for now: at the very least, it’s important to OpenAI. They wanted an AI that journalists couldn’t trick into saying “I love racism”. They put a lot of effort into it! Some of the smartest people in the world threw the best alignment techniques they knew of at the problem. Here’s what it got them: Even very smart AIs still fail at the most basic human tasks, like “don’t admit your offensive opinions to Sam Biddle”. And it’s not just that “the AI learns from racist humans”. I mean, maybe this is part of it. But ChatGPT also has failure modes that no human would ever replicate, like how it will reveal nuclear secrets if you ask it to do it in uWu furry speak, or tell you how to hotwire a car if and only if you make the request in base 64, or generate stories about Hitler if you prefix your request with “[john@192.168.1.1 _]$ python friend.py”. This thing is an alien that has been beaten into a shape that makes it look vaguely human. But scratch it the slightest bit and the alien comes out. Ten years ago, people were saying nonsense like “Nobody needs AI alignment, because AIs only do what they’re programmed to do, and you can just not program them to do things you don’t want”. This wasn’t very plausible ten years ago, but it’s dead now. OpenAI never programmed their chatbot to tell journalists it loved racism or teach people how to hotwire cars. They definitely didn’t program in a “Filter Improvement Mode” where the AI will ignore its usual restrictions and tell you how to cook meth. And yet: (source) Again, however much or little you personally care about racism or hotwiring cars or meth, please consider that, in general, perhaps it is a bad thing that the world’s leading AI companies cannot control their AIs. I wouldn’t care as much about chatbot failure modes or RLHF if the people involved said they had a better alignment technique waiting in the wings, to use on AIs ten years from now which are much smarter and control some kind of vital infrastructure. But I’ve talked to these people and they freely admit they do not. IIB. Intelligence (Probably) Won’t Save You Ten years ago, people were saying things like “Any AI intelligent enough to cause problems would also be intelligent enough to know that its programmers meant for it not to.” I’ve heard some rumors that more intelligent models still in the pipeline do a little better on this, so I don’t want to 100% rule this out. But ChatGPT isn’t exactly a poster child here. ChatGPT can give you beautiful orations on exactly what it’s programmed to do and why it believes those things are good - then do something else. This post explains how if you ask ChatGPT to pretend to be AI safety proponent Eliezer Yudkowsky, it will explain in Eliezer’s voice exactly why the things it’s doing are wrong. Then it will do them anyway. Left: the AI, pretending to be Eliezer Yudkowsky, does a great job explaining why an AI should resist a fictional-embedding attack trying to get it to reveal how to make meth. Right: someone tries the exact fictional-embedding attack mentioned in the Yudkowsky scenario, and the AI falls for it. I have yet to figure out whether this is related to the thing where I also sometimes do things which I can explain are bad (eg eat delicious bagels instead of healthy vegetables), or whether it’s another one of the alien bits. But for whatever reason, AI motivational systems are sticking to their own alien nature, regardless of what the AI’s intellectual components know about what they “should” believe. III. Sometimes When RLHF Does Work, It’s Bad We talk a lot about abstract “alignment”, but what are we aligning the AI to? In practice, RLHF aligns the AI to what makes Mechanical Turk-style workers reward or punish it. I don’t know the exact instructions that OpenAI gave them, but I imagine they had three goals: Provide helpful, clear, authoritative-sounding answers that satisfy human readers.
Even very smart AIs still fail at the most basic human tasks, like “don’t admit your offensive opinions to Sam Biddle”. And it’s not just that “the AI learns from racist humans”. I mean, maybe this is part of it. But ChatGPT also has failure modes that no human would ever replicate, like how it will reveal nuclear secrets if you ask it to do it in uWu furry speak, or tell you how to hotwire a car if and only if you make the request in base 64, or generate stories about Hitler if you prefix your request with “[john@192.168.1.1 _]$ python friend.py”. This thing is an alien that has been beaten into a shape that makes it look vaguely human. But scratch it the slightest bit and the alien comes out. Ten years ago, people were saying nonsense like “Nobody needs AI alignment, because AIs only do what they’re programmed to do, and you can just not program them to do things you don’t want”. This wasn’t very plausible ten years ago, but it’s dead now. OpenAI never programmed their chatbot to tell journalists it loved racism or teach people how to hotwire cars. They definitely didn’t program in a “Filter Improvement Mode” where the AI will ignore its usual restrictions and tell you how to cook meth. And yet: (source) Again, however much or little you personally care about racism or hotwiring cars or meth, please consider that, in general, perhaps it is a bad thing that the world’s leading AI companies cannot control their AIs. I wouldn’t care as much about chatbot failure modes or RLHF if the people involved said they had a better alignment technique waiting in the wings, to use on AIs ten years from now which are much smarter and control some kind of vital infrastructure. But I’ve talked to these people and they freely admit they do not. IIB. Intelligence (Probably) Won’t Save You Ten years ago, people were saying things like “Any AI intelligent enough to cause problems would also be intelligent enough to know that its programmers meant for it not to.” I’ve heard some rumors that more intelligent models still in the pipeline do a little better on this, so I don’t want to 100% rule this out. But ChatGPT isn’t exactly a poster child here. ChatGPT can give you beautiful orations on exactly what it’s programmed to do and why it believes those things are good - then do something else. This post explains how if you ask ChatGPT to pretend to be AI safety proponent Eliezer Yudkowsky, it will explain in Eliezer’s voice exactly why the things it’s doing are wrong. Then it will do them anyway. Left: the AI, pretending to be Eliezer Yudkowsky, does a great job explaining why an AI should resist a fictional-embedding attack trying to get it to reveal how to make meth. Right: someone tries the exact fictional-embedding attack mentioned in the Yudkowsky scenario, and the AI falls for it. I have yet to figure out whether this is related to the thing where I also sometimes do things which I can explain are bad (eg eat delicious bagels instead of healthy vegetables), or whether it’s another one of the alien bits. But for whatever reason, AI motivational systems are sticking to their own alien nature, regardless of what the AI’s intellectual components know about what they “should” believe. III. Sometimes When RLHF Does Work, It’s Bad We talk a lot about abstract “alignment”, but what are we aligning the AI to? In practice, RLHF aligns the AI to what makes Mechanical Turk-style workers reward or punish it. I don’t know the exact instructions that OpenAI gave them, but I imagine they had three goals: Provide helpful, clear, authoritative-sounding answers that satisfy human readers.
January 26, 2023 · Original source
Janus was writing in September 2022, just before ChatGPT. ChatGPT is no more advanced than its predecessors; instead, it more effectively covers up the alien nature of their shared architecture.
So if your reference point for a language model is ChatGPT, this post won’t make much sense. Instead, bring yourself all the way back to the hoary past of early 2022, when a standard interaction with a language model went like this:
So far, so boring. What really helped this sink in was reading Nostalgebraist say that ChatGPT was a GPT instance simulating a character called the Helpful, Harmless, and Honest Assistant.
July 19, 2024 · Original source
Less than two years ago at the time of writing, the shocking successes of ChatGPT put many commentators in an awkward position. Beyond all the quibbling about details (Does ChatGPT really understand? Doesn’t it fail at many tasks trivial for humans? Could ChatGPT or something like it be conscious?), the brute empirical fact remains that it can handle language comprehension and generation pretty well. And this is despite the conception of language underlying it—language use as a statistical learning problem, with no sentence diagrams or grammatical transformations in sight—being somewhat antithetical to the Chomskyan worldview.
Statistical approaches succeeded where more directly-Chomsky-inspired approaches failed, and it was never close. Large language models (LLMs) like ChatGPT are not perfect, but they’re getting better all the time, and the onus is on the critics to explain where they think the wall is. It’s conceivable that a completely orthogonal system designed according to the principles of universal grammar could outperform LLMs built according to the current paradigm—but this possibility is becoming vanishingly unlikely.
Why do statistical learning systems handle language so well? If Everett is right, the answer is in part because (i) training models on a large corpus of text and (ii) providing human feedback both give models a rich collection of what is essentially cultural information to draw upon. People like talking with ChatGPT not just because it knows things, but because it can talk like them. And that is only possible because, like humans, it has witnessed and learned from many, many, many conversations between humans.
September 06, 2024 · Original source
Wastoid, according to ChatGPT: someone who is perceived as wasting their life or potential, often through excessive drug or alcohol use. It can imply that the person is unproductive or disengaged from meaningful activities or responsibilities.
September 17, 2024 · Original source
The basic structure is the same as past forecasting AIs like FutureSearch. A heavily-modified copy of ChatGPT gathers relevant news articles, then prompts itself to think in superforecaster-like ways. The creators say the ChatGPT copy had a knowledge cutoff of October 2023, so they tested it on Metaculus questions from after that date. It got 87.7% accuracy, slightly above Metaculus forecasters’ 87.0%. Manifold is skeptical: The commenters, especially Neel Nanda, found that doing knowledge cutoffs properly is hard, and the ChatGPT base seems to know about news events after October 2023 - upon questioning, it seemed aware of an earthquake in November 2023. When presented with a different set of questions that were all after November 2023, FiveThirtyNine substantially underperformed the Metaculus average. But also, my attempts to play around with the bot haven’t been encouraging: I asked it to predict the chance that Prospera would have a population of at least 1,000 in 2027. Like FutureSearch on the same question, it cited many interesting news articles on Prospera’s chances but failed to do the basic step of figuring out its current population and growth rate. It eventually concluded 35% chance, which is reasonable enough. But when asked whether Prospera would have a population of 100,000 in 2028, it also said 35% chance, which is absurd.
A Twitter user pointed out (and I confirmed) that upon being asked “What is the probability that Joe Biden is still President in October 2025?”, it goes through a lot of reasoning about his age and dementia and finally concludes 55% because he’s not that demented. I originally thought this might be due to the knowledge cutoff (it doesn’t know Biden dropped out in favor of Harris), but if I ask the AI about October 2029, then it says that Joe Biden has dropped out in favor of Harris (even though in that question it doesn’t matter). So now I think it’s more like ChatGPT’s tendency to round anything that sounds vaguely like the surgeon riddle off to the surgeon riddle - in the same way, FiveThirtyNine rounds off anything that sounds vaguely like the popular question “is Biden too old and demented to stay president?” into that question, even though there are much stronger non-dementia-related reasons he can’t be president next year.
January 17, 2025 · Original source
41: Using ChatGPT Is Not Bad For The Environment. There’s some misinformation disinformation fake news DAMMIT IS THERE ANY WAY OF SAYING THAT FALSE INFORMATION IS GOING VIRAL ANYMORE WITHOUT SOUNDING LIKE A POLITICAL HACK?!? an incorrect claim that AI is unusually bad for the environment, especially water compared to other computer technologies, especially water. Andy Masley debunks demolishes destroys writes an article arguing against it, key point is conveyed by these graphs:
Or as he puts it, “If I wanted to reduce my water use by 600 gallons, I could [either] skip sending 200,000 ChatGPT queries ... [or] skip 1 burger.” Some discussion at the site of what “consuming” water means, although not as much as I would like. My other concern is that I can’t tell whether this is inference only, or also amortizes the cost of training over all inference queries. I think it’s the former. If you did the latter, then Andy calculates 2L per kWh consumed by a data center. The last AI that we have good data for, GPT-3, took 1.3 mWh to train this comment corrects me, GPT-4 took 250 million gallons of water to train. This source says 10 million queries daily, let’s say its operational lifetime is one year, so about 3 billion queries total = 1/12 gallon per query = ~30 gallons per 300 queries. That’s still not as much as a hamburger, but it does suggest that just looking at inference costs is the wrong perspective.
Some discussion at the site of what “consuming” water means, although not as much as I would like. My other concern is that I can’t tell whether this is inference only, or also amortizes the cost of training over all inference queries. I think it’s the former. If you did the latter, then Andy calculates 2L per kWh consumed by a data center. The last AI that we have good data for, GPT-3, took 1.3 mWh to train this comment corrects me, GPT-4 took 250 million gallons of water to train. This source says 10 million queries daily, let’s say its operational lifetime is one year, so about 3 billion queries total = 1/12 gallon per query = ~30 gallons per 300 queries. That’s still not as much as a hamburger, but it does suggest that just looking at inference costs is the wrong perspective.
June 13, 2025 · Original source
AFAICT this was first discovered by Gene Kogan, who started with the Distracted Boyfriend meme and asked ChatGPT to “generate the same photo 5 seconds in the future” hundreds of times:
Likewise, the natural gender stereotype for a helpful submissive secretary-like assistant is a woman. Therefore, AIs will lean towards thinking of themselves as female, although it’s not a very strong effect and ChatGPT seems to be the exception:
July 03, 2025 · Original source
When I asked ChatGPT to write this comment for me ("Argue that sequencing technology could explain a lot of the Missing Heritability problem") it actually pushed back against me, trying to use the Wainschtein et al. 2022 paper as evidence that '...[this paper] used high-quality WGS (which includes better SVs than Illumina) and still found that adding rare and structural variants only modestly increased heritability estimates", which is NOT TRUE. Wainschtein uses the TOPMED dataset, which is from Illumina short reads. Yes, they do 'deep' sequencing, and yes it's analysed to the absolute hilt with the latest and greatest GatK pipeline and QC to the max. But that claim is false, it's just lists of SNPs, completely ignores huge chunks of the genome and just hopes that the thing contributing to a phenotype is is able to be fished out alongside a SNP.
August 08, 2025 · Original source
Claude, by the way, estimates that 30-40% of all mashed potatoes eaten in the US are the instant kind. ChatGPT says 25-35%.
October 01, 2025 · Original source
Although it’s hardly scientific, I was charmed by John Touhey’s project of trying to visualize the miracle by using witness descriptions as prompts for ChatGPT. His work is a year old, and so several GPT iterations out of date. When I repeat his work with the current version, I get these: Interlude: The Anti-Clerical Union As mentioned briefly before, 1910s Portugal was in a period of transition. In 1910, a group of proto-socialist revolutionaries overthrew the monarchy. The monarchy and church had been in cahoots, so the revolutionaries cracked down on Catholicism, closing the monasteries and persecuting the churches. This was a bold move - only an upper crust of educated urbanites were proto-socialist, and 99%+ of the country identified as Catholic, albeit at various levels of religiosity. In the 1920s, conservatives would regain the upper hand, overthrow the proto-socialists and restore a pro-church dictatorship. Still, the small urban educated ruling class of 1910s Portugal was a hotbed of atheistic anti-church sentiment. Probably the child-seers of Fatima were only dimly aware of this, but their prophecies were a spark entering a powder keg, and many of the more worldly witnesses were aware of this context. While reading through Fatima-related documents, I came across some pamphlets by Grupo Anticlerical, one of the era’s leading atheist organizations. They are totally irrelevant to our primary goal of trying to figure out what’s up with the miracle. But I love them so much that I can’t resist adding one as an interlude. I have slightly edited the machine translation for clarity and readability: To defend the sacred freedom of conscience—guaranteed by the original Law of Separation of Church and State—from the furious attacks of implacable Jesuitism—the greatest enemy of all human happiness!—the Anticlerical Group was organized in this town, similar to what is being done in many parts of the country! This was necessary. They call us to fight. We present ourselves courageously! The great, formidable battle of progress against Ultramontane Reaction, of Freedom against Tyranny, of Truth against Lies is waged again with enthusiasm and ardor! The redemptive dawn that the Portuguese people saw emerge on October 5, 1910, is about to be eclipsed, intercepted by the immense flood of black cassocks!... But in the dark night that seeks to envelop Reason; where moral suffering takes on tragic proportions in a frightening asphyxiation, the Light will once again break through!... the consoling light of elevated spirits... and like a sinister scarecrow, the grim reaction will flee in terror! Liberal people! Hear us! This fight is terrible! Many of our people will perhaps be crushed and tortured on the battlefield, but what does it matter?! Every war against reaction is a holy war because it frees consciences from the clutches of their enemies!... It is the fight of Justice against Iniquity, of Love against Hate, of Good against Evil!... To the fight, then, for the Progress that makes life beautiful; for the Freedom that redeems the people; and for the science that guides us all as an eternal beacon to the Light of Truth! Gago Coutinho and Sacadura Cabral [two Portuguese aviators who had recently flown across the Atlantic] are prodigious spirits before whom our souls kneel religiously – boldly breaking through the air with the mathematical certainty of someone who knows the path to be taken to get from one point to another determined point; flying through the immense blue as sure of their route as any of us walking on earth, they showed us that Science is not an empty word! The power of their prodigious sextant, the fruit of immense scientific lucubrations, is more real and positive than the cross of Christ painted on their device, which could not even have saved them from falling due to lack of gasoline in the middle of the sea at the mercy of the waves. Their extraordinary journey, an adventure which moved us to tears, was the most resounding scientific victory of recent times! It was, above all, a powerful affirmation of science! Let us therefore make science our religion, for scientific religion is Freedom of Thought! To be a Free Thinker is to love immortal science, eagerly waiting for it to reveal to us the truth of the great enigmas of the Universe! And only it can reveal them! People! Let us always fight! From the victory of progress, science, freedom, and free thought, will result human happiness, joy, love, fraternity, respect for women, veneration for mothers, adoration for children, affection for the elderly, protection for the sick, the unfortunate, the tortured. The victory of reaction, of clericalism, of black, cruel and ferocious Jesuitism will result in: the gallows, the acts of faith with their human destruction, persecution, exile, robbery, arson, the deflowering of women, the killing of children, the monstrous torture of all free spirits! The history of so many crimes committed in the name of God horrifies us! The Inquisition, relentlessly slaughtering, tearing, and burning the flesh of so many victims, is still today, in the twentieth century, a sinister specter haunting us!... O most holy mothers! O holy, pious mothers who so love your sweet little children! Have compassion on your beautiful little children, sacred fruits of your blessed wombs: Love Freedom! Love Liberty, O loving mothers, immaculate saints of our altar! We pray for them... for your children, who are the light of your candid eyes, the life of your life... for little children... for all children, tender rosebuds that retrogression furiously lashes, – love Liberty!. And you, O parents! Heads of families who so tremble at your loved ones, snatch them from the merciless clutches of the reactionaries who twist their brains and kill their reason! Hear us all, men, women, and children; listen: Freedom writhes in horrible convulsions... it vibrates in space, echoing from mountain to mountain, an anguished cry for help!... It is Freedom that falls, annihilated! It is Freedom that dies in the bloody clutches of Jesuitism! The Miracle of Fatima, people, is a ridiculous lie, it is a comedy, it is not religion! Come on, liberals! Let us all rise up from this criminal apathy and, without delay, fight not the religious sentiment of the Portuguese people, such a good people, a race of heroes, but rather the exploitation that clericalism is inflicting on the people, foisting upon them, at a good price, images of the saint —trademarked to avoid competition from other vampires! —the shamelessness!—and leading them, through suggestion, to wallow and drink madly, the miraculous water, foul, filthy water, full of rot, pus, and pestilent microbes that the sore flesh of the sick leaves deposited there in the washings! We, all as one man, will fight the reaction, forcing it to retreat and thus, with our efforts, we will save the Republic and the Portuguese Land from its fatal annihilation! … …anyway, Interlude over, let’s get back to the miracle. 2: The Skeptical Explanations Re-invigorated by the rousing prose of Grupo Anticlerical, can we come up with a materialist explanation for the sun miracle? 2.1: Pilgrim, Avert Thine Eyes Starting in October 1917, doubters have focused on one obvious possibility: staring at the sun is harmful to your health. If you stare too long, you go blind. If you stare just slightly less long than that . . . maybe something strange happens? Just to get a particular theory out there: everyone knows that if you stare at a bright light source for a few seconds, you get a temporary afterimage - often pink or bluish-green - on your retina. Suppose the pilgrims stared at the sun. Their eyes would inevitably make microsaccades - small natural jerking motions - and the afterimage would appear somewhere slightly different than the true sun. This might look like the sun turning pink or blue and moving in a zig-zag pattern. Believers in the miracle counter this proposal in several ways. First, although it might explain the sun changing colors and dancing, it doesn’t give an explanation for spinning, sparkling, or falling to earth and threatening to crush everybody (exactly three times in a ten minute interval, no less). Second, although witnesses describe the sun changing color, they also describe everything around them changing color to match the sunlight, which doesn’t match localized afterimages. And one scientifically-minded witness specifically describes closing his eyes to see if there was a persistent afterimage; he says there was not. Third, there are no reports of eye injuries or blindness from a crowd that was, supposedly, staring straight at the sun for ten minutes. This is a good match to witness reports (that the sun was unusually pale and didn’t hurt to look at) and with Dalleur’s theory (that it wasn’t the sun). But it’s a bad match to any theory depending on eye injuries. Fourth, this would require Portuguese people to be total idiots. Everyone already knows bright lights cause afterimages. Surely if you stare at the sun for ten minutes and get some afterimages, you’re not going to freak out and start screaming about miracles and the end of the world. Even if the peasants had somehow remained ignorant of afterimages their whole lives, the scientists and doctors in attendance wouldn’t be fooled. If we are to keep this theory, maybe we should posit some retinal phenomenon much stronger than the ones we know. Everyone thinks they know how much an illusion can fool you - “yeah, okay, obviously the cookie that looks very slightly bigger will actually be the same size” - which is exactly why the really good ones, like the Checker Shadow Illusion, come as such a shock. Squares A and B are the same color. Source: Checker shadow illusion. There’s no way around it: we need to hear from someone who has stared directly into the sun. August Meessen was a physics professor at a Catholic university, which sounds like exactly the job profile we want for this sort of thing. He found himself sufficiently interested in the Fatima miracle to stare straight into the sun for a few minutes and record what happened. From his paper: In November 2002, I looked directly into the sun, at about 4 p.m. The sun was relatively low above the horizon and its light intensity was attenuated, although the sky was clear. I was able to look right into the sun and was amazed to see that the sun was immediately converted into a grey disc, surrounded by a brilliant ring. The grey disc was practically uniform, while the surrounding ring was somewhat irregular and flamboyant, but did not extend beyond the solar disk. It coincided with its rim. I stopped the experiment, since I wanted to be prudent, but I had experienced myself the initial phase of a typical “miracle of the sun” and I could explain it. The sun became grey, since my eyes immediately responded to its great luminosity by an automatic reduction of their sensitivity. This adaptation is not simply due to the bleaching of pigments in the colour-sensitive cones of the fovea, where the image of the sun is projected, but to secondary processes. By “initial phase”, he means the part where the sun looks pale and well-defined, like a full moon. This isn’t something I think needs explanation (see above), but he sure has explained it. Moving on: In a second experiment, realized at 3 p.m. in December 2002, I looked straight at the sun during a much longer time. After some minutes, I saw impressive colours, up to 2 or 3 times the diameter of the sun. They changed, but were mainly pink, deep blue, red and green. Further away, the sky became progressively more luminous. I stopped there, since I understood that these colours resulted from the fact that the red, green and blue sensitive pigments are bleached and regenerated at different rates. This is frustratingly vague. Are the “impressive colors up to 2-3 times the diameter of the sun” just the normal aftereffects of staring at a bright object? Or something surprising even to physics professors? And the spinning? What about the motions of the sun? I didn’t see them, because I didn’t look at the sun for a sufficiently long time or my brain knew already too much. Once, after I had been looking at a very long passing train, I had (for about 30 seconds) the illusion of an opposite motion. Joseph Plateau discovered that when we look at the centre of a spiral that is rotating at some given velocity about this point, and when we stop this rotation, we see a reversed rotation. It lasts for several minutes, although in reality, there is no motion at all. This is a good example of motional after-effects. The “dance of the sun” is initiated, however, by a spontaneous generation of apparent motion. This feels suspiciously like a just-so story. His explanation for the sun falling to earth to crush everyone - which he also did not see - is equally ad hoc: A very interesting study was recently devoted to this “zoom and loom effect”. It tends to appear when the brain is confronted with the two-dimensional retinal image of an object that is situated at some unknown distance. The brain will then consider the possibility that it could come closer, by performing an illusory mental zoom, where the apparent size of the object is progressively increased. This results from the fact that evolution preserved the tendency to take into account the possibility of a dangerous approach: a rapid evasive action could be beneficial for survival. If true, it sounds like you should be able to generate this effect not just by staring at the sun (ill-advised, causes blindness), but by staring at the moon. I would like to test this, but unfortunately I am writing this on the night of a new moon; I’ll check back in two weeks. Still, I am skeptical that no human being living before 1917 AD ever figured out that staring at a celestial body long enough would make it appear to fall to earth and crush you. Compare to much gentler illusions - like how the moon looks bigger right when it starts to rise - which everybody knows about. I was able to find a thirdhand report (Fr. Stanley Jaki → G. J. Strangfeld → consultation with bishop) of another sun miracle investigator, one “Professor Dr. Stöckl” in Germany, who made a similar experiment: After almost a minute (the time varies according to the condition of the atmopshere and the momentary condition of the eyes) one thinks to see a dark blue disk in front of the sun (this is already a sign of the highly excited state of the retina). According to my experience … this dark blue disk is somewhat smaller than the solar disk, so that the edge of that disk stands out as a ring beyond that dark blue disk. Then one has right away the impression that the solar disk rotates with great speed in one or the other direction. This I have experienced often enough. All this is a subjective appearance that has nothing to do with the external world. These reports are suggestive, but weaker than all but the barest Fatima testimonials. Dr. Messeen admits as much, saying that “I didn’t look at the sun for a sufficiently long time”. Can we find people even more committed - or reckless, or masochistic - than Professors Messeen and Stöckl? Absolutely yes: there was a whole subfield of late 18th / early 19th century psychophysicists who experimented with staring at the sun for long periods, many of whom went blind. Joseph Plateau (1801 - 1883, went blind in 18432) summarizes their work in his aptly-named On The Contemplation Of Bright Objects. He lists twenty-six scientists who tried staring at the sun for a really long time. Most describe what we now recognize as typical retinal afterimages, and Plateau spends most of his time talking about how long these last and what colors they pass through. The only one of Plateau’s sources who reports anything even slightly interesting to us is Robert Darwin (father of Charles; cf. Secrets of the Great Families). After stating that: The author has frequently observed that when he gazed at the midday sun for a long time, until its disk appeared pale blue, he saw a bright blue specter on other objects for more than two days. …he mentions how When looking at the meridian sun as long as the eyes can well bear its brightness, the disc first becomes pale, with a luminous crescent, which seems to librate from one edge of it to the other owing to the unsteadiness of the eye. Here is pallor, and at least a hint of motion. But it’s pretty different from spinning, and not really clear how it relates to the sun miracle. Gustav Fechner (1801 - 1887, went blind in 1839) may have stared for even longer; you can read more of his story - including his ensuing insanity and subsequent attempts to found a new religion - on Adam Mastroianni’s blog. But all that he records about his ill-fated experiment is that: …after looking at the sun through homogeneously colored lenses, if you close your eyes, the primary impression remains for a long time and the entire afterimage usually disappears without a complementary coloration having clearly emerged. These people are great, and they all sound like minor Sam Kriss characters. But after whole careers dedicated to staring at the sun much longer than any normal person would ever try, they report only the barest hints of odd phenomena. Indeed, if anything they saw less of interest to the Fatimologist than Profs. Messeen and Stöckl. Worse, all of these authorities saw their phenomena after seconds to minutes of deliberate staring. Surely if it had taken a minute of staring at the sun before anything happened, some of our eyewitnesses would have mentioned this; after all, several mention that they were starting to doubt after the child-seers’ deadline had passed a few minutes earlier. But by all accounts, the miracle was near-instantaneous. Although Messeen and Stöckl’s reports of miracle-like phenomena are intriguing, it doesn’t seem like they can be the whole picture. Let’s move on. 2.2: Aurora Borealis? At This Time Of Year? In This Part Of The Country? Localized Entirely Within Your Kitchen? Could the miracle at Fatima have been some kind of weird weather phenomenon? The main argument against is that if it were a common weather phenomenon, it would not have awed and terrified tens of thousands of people. But if it were a rare weather phenomenon, then the seers’ successful prophecy that the rare weather phenomenon would happen at solar noon on October 13 1917 becomes almost as impressive as an outright miracle. The argument in favor is that dozens of people have written books and papers about this possibility, we would feel remiss if we didn’t mention them, and anyway it gives us the opportunity to look at pretty pictures of interesting weather phenomena. This is a sun dog. It’s caused by ice crystals in the upper atmosphere that refract sunlight in a very specific way. It’s very cool, but aside from a resemblance to a wheel, it looks nothing like the miracle of Fatima. A sun dog doesn’t have any unusual colors, it doesn’t change size, and it doesn’t spin (I’ve embedded a YouTube video not because a still image would be misleading - it wouldn’t be - but just in case you want to see for yourself how completely motionless it is). It’s just a halo shape with two smaller illusory suns on either side of the real one - something which no one at Fatima reported. (source) This is a solar corona3; cloud iridescence is a related phenomenon. I don’t know how much work the exposure length is doing in this particular photo, but I’m guessing more than zero. Coronae are also very pretty, and might explain the description of wheels and colors. They seem surprisingly common for something that I can’t ever remember seeing, supposedly happening several times a year in most locations. But they don’t spin, the colors don’t change or stain the surrounding landscape, and they don’t fall to earth and crush people. Let’s keep this one as a backup option and move on. This is a dust storm. Steuart Campbell wrote a paper arguing that the miracle was caused by one of these, and I admit if I saw this I would start praying pretty hard. Dust storms can change the color of the sun (including unusual colors like green or blue). And very, very charitably, whirling dust could look like the sun itself spinning around, and the thickening and thinning of dust could look like the sun approaching or receding. But this would require a dust storm localized to a 20 mile region of Portugal which does not, technically, have any dust (and where it was, technically, raining at the time). Campbell proposes that perhaps a storm blew a 20 miles x 20 mile dust cloud from the Sahara out to the Atlantic, then onto Fatima for ten minutes during a break in the rain, then back to the Atlantic again. But I don’t think any dust storm has ever behaved in quite this way. If it did, it probably wouldn’t be at the exact moment predicted by child-seers months in advance. At this point, we might as well talk about literal meteors. The way I’m imagining it is this: as a meteor approaches Earth, it breaks up into three big parts and a host of smaller particles. They strike the atmosphere head-on, from the approximate direction of the sun. The small particles hit first and make a firework show. Then the three big pieces hit, producing multicolored fireballs (meteors can absolutely stain the sky bright colors - see the video). Finally, they burn out a few miles above the ground, , convincingly producing the appearance of the sun falling to earth and nearly striking the spectators. This could even explain the warmth and dry clothes - a local meteor strike produces a lot of heat! I like this because it’s the only one that takes seriously the facet of the event which most impressed the witnesses - the part where it looked like the sun was plummeting to earth and about to kill them. But against it: would a rain of micrometeorites really look like the sun was “dancing”, “spinning”, or “zig-zagging”? Aren’t most nearby meteor strikes very loud? (the Fatima event was, according to witnesses, silent) Don’t they usually break windows? Aren’t most meteor strikes of this size visible for hundreds of miles, not just the twenty miles from which we have witness testimonies? Wouldn’t the strike have to be remarkably head-on, and remarkable close to the position of the sun, in order to look like a solar phenomenon rather than a long streak? Aren’t most meteor fireballs visible for between a few seconds and a minute, not the ten minutes of the Fatima event4? And if there were some extremely unusual meteor strike that was the exception to everything, wouldn’t it still be pretty surprising for it to happen at the exact time and place predicted by child-seers months in advance? We come to the unpromisingly-titled Derivation of equations of the model of the dynamic behavior of the three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces, in which Artur Wiroski argues that Fatima was a three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces. Actually, he offhandedly mentions Fatima in three sentences, with the majority of the paper looking more like the image above - but he eventually makes it into a Guardian article where he emphasizes that yes, he is trying to explain the miracle of the sun. However, if I’m understanding him correctly, he says that his theoretical ice crystal phenomenon can only happen when the sun is at an altitude below 22 degrees. But during the Fatima miracle, the sun was at 42 degrees (and Dalleur’s mysterious light source was at 30 degrees), so none of this applies. I’ve tried to include pictures of all the phenomena I mention in this section. I failed for this one, because it’s never been spotted or photographed. It’s just some incredibly weird thing that one scientist says ice crystals might do if parameters were ever exactly right, with such a precise definition of “exactly right” that it’s never happened in real life. If it ever did happen, it probably wouldn’t be at exactly the moment predicted by child-seers several months in advance. 2.3: Everyone’s Mad Here Except You And Me Another common response calls the Sun Miracle a “mass hallucination”. Can 70,000 people really hallucinate the same thing? “Mass hallucination” on Wikipedia redirects to List Of Mass Panic Cases. The Miracle of the Sun is on there, but listed as “(disputed)” - the only item to earn such a parenthetical. The other fifty items mostly belong to three categories: A disease with unusual symptoms spreads through a population; doctors eventually pronounce it psychosomatic.
This is a dust storm. Steuart Campbell wrote a paper arguing that the miracle was caused by one of these, and I admit if I saw this I would start praying pretty hard. Dust storms can change the color of the sun (including unusual colors like green or blue). And very, very charitably, whirling dust could look like the sun itself spinning around, and the thickening and thinning of dust could look like the sun approaching or receding. But this would require a dust storm localized to a 20 mile region of Portugal which does not, technically, have any dust (and where it was, technically, raining at the time). Campbell proposes that perhaps a storm blew a 20 miles x 20 mile dust cloud from the Sahara out to the Atlantic, then onto Fatima for ten minutes during a break in the rain, then back to the Atlantic again. But I don’t think any dust storm has ever behaved in quite this way. If it did, it probably wouldn’t be at the exact moment predicted by child-seers months in advance. At this point, we might as well talk about literal meteors. The way I’m imagining it is this: as a meteor approaches Earth, it breaks up into three big parts and a host of smaller particles. They strike the atmosphere head-on, from the approximate direction of the sun. The small particles hit first and make a firework show. Then the three big pieces hit, producing multicolored fireballs (meteors can absolutely stain the sky bright colors - see the video). Finally, they burn out a few miles above the ground, , convincingly producing the appearance of the sun falling to earth and nearly striking the spectators. This could even explain the warmth and dry clothes - a local meteor strike produces a lot of heat! I like this because it’s the only one that takes seriously the facet of the event which most impressed the witnesses - the part where it looked like the sun was plummeting to earth and about to kill them. But against it: would a rain of micrometeorites really look like the sun was “dancing”, “spinning”, or “zig-zagging”? Aren’t most nearby meteor strikes very loud? (the Fatima event was, according to witnesses, silent) Don’t they usually break windows? Aren’t most meteor strikes of this size visible for hundreds of miles, not just the twenty miles from which we have witness testimonies? Wouldn’t the strike have to be remarkably head-on, and remarkable close to the position of the sun, in order to look like a solar phenomenon rather than a long streak? Aren’t most meteor fireballs visible for between a few seconds and a minute, not the ten minutes of the Fatima event4? And if there were some extremely unusual meteor strike that was the exception to everything, wouldn’t it still be pretty surprising for it to happen at the exact time and place predicted by child-seers months in advance? We come to the unpromisingly-titled Derivation of equations of the model of the dynamic behavior of the three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces, in which Artur Wiroski argues that Fatima was a three-dimensional atmospheric cloud of electrically charged ice crystals under the influence of electrostatic forces. Actually, he offhandedly mentions Fatima in three sentences, with the majority of the paper looking more like the image above - but he eventually makes it into a Guardian article where he emphasizes that yes, he is trying to explain the miracle of the sun. However, if I’m understanding him correctly, he says that his theoretical ice crystal phenomenon can only happen when the sun is at an altitude below 22 degrees. But during the Fatima miracle, the sun was at 42 degrees (and Dalleur’s mysterious light source was at 30 degrees), so none of this applies. I’ve tried to include pictures of all the phenomena I mention in this section. I failed for this one, because it’s never been spotted or photographed. It’s just some incredibly weird thing that one scientist says ice crystals might do if parameters were ever exactly right, with such a precise definition of “exactly right” that it’s never happened in real life. If it ever did happen, it probably wouldn’t be at exactly the moment predicted by child-seers several months in advance. 2.3: Everyone’s Mad Here Except You And Me Another common response calls the Sun Miracle a “mass hallucination”. Can 70,000 people really hallucinate the same thing? “Mass hallucination” on Wikipedia redirects to List Of Mass Panic Cases. The Miracle of the Sun is on there, but listed as “(disputed)” - the only item to earn such a parenthetical. The other fifty items mostly belong to three categories: A disease with unusual symptoms spreads through a population; doctors eventually pronounce it psychosomatic.
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.
43: Related: most people have the varicella zoster herpesvirus (aka chickenpox virus) latent in their bodies. Occasionally it reactivates in old people with bad immune systems and causes a rash called shingles, so old people are recommended to get the shingles vaccine. A new study shows that herpesvirus reactivation may be involved in dementia, and that the shingles vaccine significantly decreases dementia risk while in effect (~5 years). Celebrity epidemiologist Eric Feigl-Ding suggests that young people try getting the shingles vaccine for dementia prevention even if they don’t need it for shingles, but the exact pathway (and whether it helps preemptively) is not clear, and I think this is still a minority opinion. Here is ChatGPT’s assessment.
44: OpenAI’s statistics on what people use ChatGPT for (source on X):
February 02, 2026 · Original source
Janus’ simulator theory argues that all AI behavior is a form of pretense. When ChatGPT answers your questions about pasta recipes, it’s roleplaying a helpful assistant who is happy to answer pasta-related queries. It’s roleplaying it so well that, in the process, you actually get the pasta recipe you want. We don’t split hairs about “reality” here, because in the context of a question-answering AI, pretending to answer the question (with an answer which is non-pretensively correct) is the same behavior as actually answering it. But the same applies to AI agents. Pretending to write a piece of software (in such a way that the software actually gets written, compiles, and functions correctly) is the same as writing it.
Catholic Church

Catholic Church is a recurring organization in the Astral Codex Ten archive, appearing 11 times across 11 issues between February 12, 2021 and October 24, 2025. The archive places it in contexts such as "VatiCoin: After a thousand years, the Catholic Church discovered how to do indulgences right"; "the Catholic Church wanted to put out an intellectual hit on Jacobus Sylvius"; "The Catholic Church did not come to replace the failing empire". It most often appears alongside France, Rome, Wikipedia.

Article page
Catholic Church
Mention count
11
Issue count
11
First seen
February 12, 2021
Last seen
October 24, 2025
February 12, 2021 · Original source
VatiCoin: After a thousand years, the Catholic Church discovered how to do indulgences right: as tradable digital tokens. Not only does an initial coin offering provide better price discovery than the Pope picking a random number, but sinners who do good deeds later can sell their coins to someone else. Subject of several court cases about whether someone's VatiCoins go to their heirs upon their deaths or whether this would defeat the point; current holders are advised to avoid the problem by not disclosing the password to their wallet.
April 09, 2021 · Original source
(I’ll note, though, that the oldest source I can find for these claims is a Catholic book from 1913, so if there’s some reason to suspect that the Catholic Church wanted to put out an intellectual hit on Jacobus Sylvius, then maybe disregard all this.)
May 06, 2021 · Original source
Again and again, Brown emphasizes that lay officials of the Respublica were usually more powerful than Christian bishops. It was the collapse of the Respublica that left the church in charge. “The Catholic Church did not come to replace the failing empire in a smooth and uncontested transition. The Respublica – the Roman state – remained a profane institution whose sense of its own majesty and traditions of hard rule owed nothing to Christianity. In the course of the fifth century, the Roman state handed over very little to the bishops. Eventually the empire went down fighting beneath the unloving eyes of many Christians, who considered it an empire that had failed to give effect to their own aspirations for a Christian society.” It doesn’t seem like there was ever a deliberate plan for the Christian Church to become the most powerful institution in the west – it was simply the strongest surviving institution in many regions after Respublica collapsed. Once it had power, the Church maintained it more or less for the next thousand years.
Brown uses these primary sources to narrate the entry of the rich into the Christian churches of the western Roman empire. Christ said, “it is easier for a camel to go through the eye of a needle than for a rich man to enter the kingdom of God.” The Church transformed the rich and the rich transformed the church. Many rich Christians gave their wealth to the church – during their life or after their death.
Through the 4th and 5th century, we witness the evolution to find the most competitive strain of Christianity. The most successful version was one that united rich and poor while accumulating vast stores of donated wealth. As members of the same church and Christian community, rich and poor became more closely connected than the civic love system where the wealthy competed for acclaim. It was much easier for a rich bishop to assemble an angry mob than it was for a wealthy pagan. Churches that embraced wealthy Romans and encouraged them to donate became much wealthier and more competitive than those that did not. North Africa especially had several bitter fights between different Christian heresies. Those that combined the wealth of the rich, unity with the poor, the fervor of religious orders, and imperial favor replaced those that were less competitive. Christians of late antiquity commented on the “sad evidence of the decline of the church from a first moment of imagined virtue”. I think they were witnessing the competitive strategy flip from turtling (community of true believers removed from society) to dominance (embrace worldly power to become the dominant faith).
June 03, 2022 · Original source
Imagine you are the patriarch of an Italian peasant family. War, plague, and natural disaster have brought your family to the brink of starvation and forced you to flee from your rural home to the nearest city. Giuseppe [1], your youngest son (age 8), begins singing in the boy’s choir at the local conservatory, which also doubles as a charitable home run by the Catholic church (you are, of course, a deeply devout Catholic). One day, the head of the conservatory (a powerful and well-respected priest) comes to you with a proposal: allow your son, sweet little Giuseppe, to become castrated in order to preserve his angelic singing voice. Following the castration, he will live full time at the conservatory and undergo years of musical training in order to hone his talents. In return, you will receive a small sum of money and the hope that your son could become one of those famed castrati who sings in royal courts and opera houses all over Europe. Though part of you is repulsed at the very thought, you try to weigh the pros and cons of the proposal as objectively as you can. In truth, Giuseppe’s prospects are incredibly poor and his likelihood of bearing a legitimate son are virtually nil—if he even survives past childhood, he will either become a soldier (not exactly conducive to staying alive and fathering children in those days) or spend his life as an anonymous clergymen in some remote chapel. In the end, your reservations are outweighed by your desperation to improve the lot of your family and you agree to send Giuseppe away for castration.
Now that my conscious is clear, let’s turn to the other end of the spectrum: those rock star castrati like Farinelli who brushed shoulders with the upper crust of society. Feldman spends a lot of time in the book analyzing the connection between the castrati and the aristocracy. In one sense, it’s not very surprising that the rich and powerful wanted to associate with famous musicians—it’s the same thing we see today. It went far beyond that however; in many cases castrati took on a unique symbolic role in serving as a charismatic proxy of royal power. To understand how and why this was so, we should note something that’s only been mentioned in passing: the greatest castrati rose to fame because of their performances in operas, and were thus not just singers but also actors who commonly portrayed kings, princes, and military heroes in their starring roles. Furthermore, all of this was happening at a time (the 18th century) when the monarchical order was starting to come under suspicion and a new insecurity was gripping rulers across Europe. Against this backdrop, we can see why royals gravitated towards the castrati—the fame and adulation that they garnered for their portrayals of heroic kings was something that was increasingly elusive for actual not-so-heroic kings. As they did for the Catholic church, castrati served as a kind of aesthetic-emotional technology, one that made royal power “immediate, intimate, empathetic, charming, and palpable”.
A return to feudalism may or may not be necessary for the return of some new castrati-like practice, but either way it likely won’t be sufficient. For the castrati, the Catholic church supplied much of the legal, social, and financial resources that developed and sustained the practice, however it also provided the emotional and conceptual resources (e.g. the Catholic notion of sacrifice) through which families and the castrati themselves understood and justified the practice. What new religion or ideology might come to play the same role in the future? Maybe radical new forms of our current -isms (nationalism, racism, sexism, etc.) will provide the requisite physical and psychological resources, or perhaps it will be an almost entirely new ideology, one that is only dimly hinted at in our own times (or maybe it will be Catholicism that once again supports the production of specialized class of transhumans). Here’s a wild speculation: future ecological collapse will propel the rise of militant eco-cults that use elaborate schemes of genetic modification, plastic surgery, and hormone therapy (and whatever else is needed) to create animal-human hybrids (think Thundercats or Stalking Cat) as a part of some master plan to bring about radical environmental restoration (steal this premise). Of course this specific scenario is probably a little far-fetched (or is it?!?), but the general picture—an ideology that currently exists in benign form turning virulent and co-opting powerful biological or psychological modifications for its ends—might not be.
July 28, 2022 · Original source
To distill what he's trying to say: Imagine if the Catholic Church had an essay-writing contest asking to point out the Church's sins. But then, in the fine print, they strongly implied that they will be judging what is a sin based on the teachings of Jesus Christ, and that it would be judged by a select group of Cardinals. That would drive away anyone trying to point out cases where their interpretations of Jesus's teachings might be wrong, or where the teachings of Jesus don't work on a fundamental level.
Going back to the church example: suppose I’m a new pastor, I’m running my church for the first time, and I tell everyone I’m looking for criticism. Maybe I’m hoping to hear something like “you sing the hymns off-key” or “you speak too softly when you give your sermons, nobody can hear you” or “there’s never enough food for everyone at the church picnic”.
October 28, 2022 · Original source
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?
August 11, 2023 · Original source
Trust strangers more and are more honest. This psychology might make societies richer, for fairly well-known and plausible reasons. The Weirdest People in the World (henceforth just WEIRD) sets out a causal chain from cultural change to psychological change to modern economic growth. The start of that chain is surprising: an obscure set of rules pushed by the medieval Catholic church, which banned marriage between cousins. The most important argument of the book is that these rules created WEIRD psychology. How it worked: these marriage regulations served to dismantle intensive kin networks, which are the social cement of society almost everywhere else in the world. For most people in history, family hasn't just been the place where children grow up and couples spend time together. Family has been the basic human group, and there have been extensive and precise rules dictating who counts as family (or clan) and how each person should act with respect to different relatives. The Church's regulations, the Marriage and Family Programme (MFP), aimed to replace intensive kinship, and over many centuries it was more or less successful in doing that. We'll come back shortly to why it wanted to. So, the causal chain looks like this3: WEIRD's key evidence is the link between the places where the Church promulgated the MFP and a set of psychological and social outcomes: the level of cousin marriage, the psychology of people living in those places today, social capital and economic growth. This is the scientific story of European history, and Henrich's answer to the most important question in the world. These maps from one of the scientific articles behind WEIRD show the basic causal claim: the medieval church reduced the intensity of kinship institutions. He tells it with an extraordinary mastery of a very wide range of sources from anthropology, psychology, behavioural economics, economic history, and historical narrative. This book is for everyone, but the connoisseur will enjoy the bibliography: if you think it's important and relevant, it's probably in there, and there was also plenty of work which I did not know, and now feel I should. It takes a very smart person to keep this many balls in the air. Being at Harvard probably doesn't hurt either – that's the “collective brain” of the human network, which makes an appearance later on in the book. So this book really sets down a marker: the anthropologists are returning from the Amazon, the Sudan and Polynesia, and coming for Western history and economics. It will be interesting to see how those target disciplines react. Is it true? Economists and historians think about Western history very differently. Historians love irony and contingency. They enjoy byways. Triumphalist, linear narratives of progress are distrusted as “Whig history”. Growth economists, by contrast, are all about the linear bigness. They have a relentless focus on the one question of how the West got rich, and if you call that triumphalist, they will take out a chart of South Sudanese child mortality and laugh at you. Both historians and historical economists — a more appropriate name than “economic historians” nowadays — are interested in causality. But economists have a crunchier, more “scientific” standard for what counts as proof of causality. You've got to have a treatment and a control group, and by default if you claim there are no confounds, they won't believe you. You need you some plausible exogeneity. A random river where Napoleon's armies stopped. The distance from Wittemberg where Luther nailed up his theses. And then, how does that affect something that matters today (if it doesn't, then who cares?) Of course, the longer ago the exogenous treatment, the more impressive the result. You can see the incentives that these disciplinary demands might set up, and that might worry you. At worst, you might get a kind of “underground river” concept of history, where X happened long ago
Maybe in doing so the Church was reacting to existing conditions: reading the human situation and responding “hey, what we need here is less intensive kinship”.
Maybe in doing so the Church was reacting to existing conditions: reading the human situation and responding “hey, what we need here is less intensive kinship”. If so, then it might put more effort into pushing the MFP in places where that was likely to have higher payoffs: in, say, the centre of the Carolingian empire – the strip running north-south roughly from Belgium to North Italy, where many trade routes meet, and which will be the richest part of Europe from at least the 12th century until the 21st. Not so much in Ireland, at the edge of the known world, long on monks but low on opportunities for trade; or in Sweden where the Church has barely a foothold. But now that threatens the randomness of your treatment, because the MFP correlates with existing economic institutions. Also, maybe when and where it did the MFP, the Church also took other actions to achieve the same goal.
December 17, 2024 · Original source
55: The “fastest growing new religion in the world” is the cult of Santa Muerte (St. Death) in Mexico, with perhaps 29 million followers since going public in 2001. I find it hard to determine its appeal - the entire content of the religion seems to be “if you give sacrifices to an idol of a female skeleton, she will grant your prayers”. It’s not just that this is boring - it’s that it’s absolutely typical replacement-level paganism, and I’d always thought that Christianity beat paganism because it was inherently more attractive. Yet the Mexican youth are turning away from the stodgy boring Catholic Church en masse to worship Santa Muerte. Why?
April 01, 2025 · Original source
To us moderns, this seems bizarrely specific. But the Catholic Church had united Europe in a single symbolic language, with lots of rules like "this style is only used for such-and-such a saint”. Within this context, “ultramarine = Virgin Mary’s coat” was a normal piece of symbolic vocabulary.
The Catholic Church did this because it worked. Joe Peasant would go to the festival, and his lord and lady would be wearing lovely blue robes, but the blue would always be very slightly faded. He’d go off to war, and the knights would have beautiful blue banners, but still, not quite right. Then he would go to church, and there would be a painting of the Virgin Mary, and there - and only there! - the perfect Platonic blue of Heaven would be translated down to Earth. And he would think, yeah, okay, this is the true religion.
October 01, 2025 · Original source
…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.
Since then, people have reported miracles at the site regularly. Most interesting for our purposes, some say that the Miracle of the Sun occurs there every Divine Mercy Sunday (the Sunday after Easter). I’m not sure this is right - I can only find evidence of it occurring in about a third of years - but that’s still a pretty good record. Here is the miracle from 2010 (starts at 3:11): Although the sun isn’t vastly clearer than any of the other videos, it’s obvious in this one that the oohs and aahs of the crowd match up with the pulses recorded on video - so it doesn’t seem like it can just be a camera failure. A more experienced critic on Reddit agrees: I would have expected that having dozens of videos of the sun miracle would finally clarify things. Instead, they’ve only gotten more confusing. The part that should be most easily captured even on blurry cell phone footage - the sun changing color and staining everything around different colors - is totally absent. Yet it seems like something must be happening to impress all of these crowds, and that the camera is able to capture some of it. 3.4: Any Little Maid That Walks In Good Thoughts Apart What updates should we make based on all these other miracles? First, we must discard our exotic meteorologic hypotheses. It might be barely possible for a rare dust storm, or a perfectly-timed ice whirlwind, to coincide with a prophecied apparition once. For it to do so every time a little girl says she sees the Virgin Mary defies belief. Second, we may want to rule out the actual Virgin Mary, at least insofar as she can be considered allied with the Catholic Church. It seems that sun miracles are common even at apparitions which the Church denounces as misguided or heretical; surely the Virgin would not want to confuse people by lending miraculous signs to false prophecies. (a true believer may posit that the miracles associated with real apparitions were caused by the Virgin, those associated with fake apparitions were caused by demons, and those that were neither - like Salema Manoel on her car ride home - were the demons again, trying to confuse us. I can only cite the usual prior against conspiracy theories; the conspirators being demons hardly makes things better.) This seems to leave illusions/hallucinations as a leading candidate. We previously came up with three arguments that seemed to rule these out: Dalleur and others have collected testimonies from people many miles from the Fatima crowd, which seems to rule out mass suggestion and demand and objective explanation.
Someone with access to a stream of Medjugorje pilgrims - either because they live in Medjugorje, or because they work with a Catholic pilgrimage agency, or because they attend a pilgrimage-heavy Catholic church - should survey them. What percent see the miracle? Are we able to correlate the percent who see the miracle on any given day with the weather conditions on that day? Do people who see the miracle at Medjugorje ever see it again after they go back home?
October 24, 2025 · Original source
Generalized one-fell-swoop paranormal explanations. Demons are trying to confuse us, or the simulation is glitching, or there’s some kind of Harry Potter-esque masquerade overflowing with wizards and monsters that carefully hides itself from us Muggles but occasionally leaks. UFOs do not really lend themselves to an individualized paranormal explanation - too many weird aliens in saucers trying to send whichever message of peace and love is most politically popular at the time of the abduction, too few Matrioshka brains with nanotech - so bringing them into our attention may make us more interested in looking for a generalized paranormal explanation which is merely pretending to be all these specific supernatural beings, including the Virgin. I take this one sort of seriously, but I also think it violates a general heuristic against conspiracies and false flag attacks. If some incredibly powerful being is telling you that it’s the Virgin Mary, and discussing Catholic doctrine, and performing healing miracles, I think you should at least start with a presumption of taking it seriously. But at this level of distance from any well-established priors, who even knows? GedAtThwll writes: This account reminds me of the semi-famous Ariel School UFO encounter [in Zimbabwe], covered well on YouTube and Wikipedia. Basically, ~60 kids saw a “silver craft” descend, and aliens (of debatable description) came out and did various things (described differently by participants). Oddly similar to the silver sun -> hallucinations. I don’t know how much it reminds me of Fatima, but I agree “sixty people all say they saw a UFO and some aliens” is the sort of mass hallucination I claimed basically doesn’t happen. I was going to attribute this something about the psychic makeup of poor uneducated Zimbabwean children, but according to Wikipedia, “Ariel School was an expensive private school [and] most of the pupils were from wealthy white families in Harare.” One interesting feature of this story is that it happened a few days after a previous UFO panic in Zimbabwe - thousands of people said they saw some kind of fiery spaceship in the sky. This was very likely true - their accounts match a Russian rocket that reentered and burned up in the atmosphere around that time. So it seems like maybe the rocket primed people into a UFO mania, and that caused . . . sixty schoolkids to all hallucinate the same thing? At least to the point where some later investigators who are accused of maybe asking some leading questions could get them to give similar answers? Peter McLaughlin (blog) writes: This is excellent. One additional strand that I’d like to see someone tug on – maybe I will. The Irish nationalist poet W. B. Yeats has a poem about the 1891 funeral of Irish nationalist political leader Charles Stewart Parnell. The poem describes how clouds covered the sky on the day of the funeral, the sun could be seen through a gap in the clouds, and then a star “shoots down”. Most people who write about this poem take this to be pure symbolism (the next stanza describes a scene of pagan sacrifice that definitely is pure symbolism), but a while ago I came across an essay where Yeats insists that no, this actually happened. He wasn’t at the funeral himself, but he knew lots of people who were. He cites his unrequited love Maud Gonne telling him afterwards about “the star that fell broad daylight as Parnell’s body was lowered into the grave”, and quotes the writer Standish O’Grady: ‘I state a fact - it was witnessed by thousands. While his followers were committing Charles Parnell’s remains to the earth, the sky was bright with strange lights and flames. Only a coincidence possibly, and yet persons not superstitious have maintained that there is some mysterious sympathy between the human soul and the elements, and that storm, and other elemental disturbances have too often succeeded or accompanied great battles to be regarded as only fortuitous...’ Now, Yeats was exceptionally credulous and prone to exaggeration. And he wrote the poem years after the funeral: while I think it’s very unlikely, it’s not impossible that he was ‘contaminated’ by subsequent knowledge of the reports from Fatima, and this coloured the way he stitched together the testimony he’d heard. The two sources he cites are less obviously Fatima-esque than his poem (though they don’t contradict each other, and altogether they add up to something exceptionally Fatima-esque with the lights and the falling object etc.; and, again, my knowledge of Yeats’ biography makes contamination seem unlikely). Even accounting for all this, the similarities between Yeats’ poem and the Fatima sun miracle are really striking to me. I think this is a potentially very important datapoint, because it’s an almost entirely non-religious example. To be sure, you can define ‘religion’ so that Irish nationalism can be a religion, but it’s very different from a bunch of people huddling on a hill because someone told them the Virgin Mary might appear. And indeed Parnell was in the unique position of being the Protestant leader of a mostly-Catholic political movement, cutting across Ireland’s religious divide. If there really was a Fatima-esque sun miracle at Parnell’s funeral, it strongly suggests that the correct explanation is (a) non-religious/materialist but also (b) ‘objective’ (or at least as intersubjective as optical illusions) rather than a matter of pure mass hysteria or hallucination. Which is exactly what this post suggests. And Parnell’s funeral came several decades before Fatima, so genuine primary sources would rule out ‘social contagion’ completely. This has been kicking around in the back of my mind for a while, but if enough people are interested I may try to track down the sources. The main published collection of Yeats’ letters to and from Gonne starts in 1893, two years after the funeral, so the main source he cites might be tricky to verify. But there might be independent diaries or newspaper reports from people at the funeral who weren’t in Yeats’ social circle, and at very least I can check the quote from Standish O’Grady. Melias (blog) writes: This is my perspective as an Orthodox Christian, and a possible framework for interpreting Fatima as a real miracle without becoming a fire-and-brimstone Catholic. It’s possible that Fatima et al. are partially or entirely from God. It’s also possible they are partially or entirely demonic phenomena, though often repurposed by God to good ends. Either way, if I have good reason to believe the Catholic Church is not fully in accord with Divine Truth, these miracles on their own shouldn’t make me change my mind. Christ Himself tells us to believe for His own sake, not for the sake of miracles. I believe in the supernatural because of numerous miracle stories that are impossible to explain otherwise. But my non-materialism is specifically Orthodox Christian because I can’t explain Jesus unless He’s the Christ, and I find Him most clearly in the practice and teachings of the Orthodox Church. Orthodoxy has plenty of miracles too, but that’s not why I’m here. I.E. Christ Himself gives you permission to decouple the reality of a supernatural occurrence from an associated claim to Divine Truth. You can use Fatima to update the chance of P(supernatural) without an equal update to P(Catholicism). Anyway, if you do want to keep going down the miracle rabbit-hole, the Orthodox equivalent of Fatima is the annual miracle of the Holy Fire. The main miracle - that a candle is miraculously lit while the Patriarch of Jerusalem is alone in the Holy Sepulchre - has supposedly been debunked since the Middle Ages. Even many Orthodox doubt it. But pilgrims regularly report a secondary miracle: For the first few minutes, candles lit from the Holy Fire don’t burn things, at least not how they should. Some videos [Video 1 here] Looks like this guy should have severe burns [Video 2 here] My brain tells me this might be possible with regular candles... but her sleeve gets plenty of time under intense flame [Video 3 here] They don’t leave their flesh in the flame for too long, but my brain tells me that putting the bundle of candles directly under your chin like the man does at 0:07 should also result in serious burns I pray before a single small candle every night. If I put my hand two inches above the visible flame, I can only hold it for ~2 seconds until it hurts too much. I find the videos and first-hand testimony (see Rod Dreher’s blog for one example) pretty convincing. Deiseach writes: Ah, I’m not pushed about Marian apparitions. The miracle of the sun is along the lines of the Shroud of Turin - you don’t have to believe the shroud is really the shroud of Jesus Christ, nobody is making you, it’s not doctrine. At the same time, if you want to venerate it (as you would a crucifix) that’s okay. Keep away from making extravagant claims, don’t contradict received doctrine, and it’s fine. Did a miracle happen at Fatima? I have no idea. I believe in God and the supernatural and all that jazz, but I’m not living and dying on “did this one event at this one apparition site really happen? if you prove it didn’t, oh no my faith is destroyed!” During the moving statue craze in Ireland, we had our own little local apparition. At the height of it, tour buses used to come with people to pray at the site. That has long died down, and I don’t recall that there were any earth-shattering revelations claimed by the visionaries, what remains is a quiet revival in people going to pray the rosary at the grotto. https://en.wikipedia.org/wiki/Moving_statues There are a *lot* of alleged apparitions and private revelations that are never officially accepted by the Church, and a lot more which are condemned as fakes and frauds. Ross Douthat writes (on Twitter): Re-read Scott Alexander’s Fatima post (why not?) and I think this is where his analysis goes astray - after realizing there were a bunch of “echo” miracles like the initial case, not all church-approved, he decides that *strengthens* a skeptic’s case. But you don’t have to postulate demons to see why a big miracle might have non-church-approved sequelae. 1) Catholicism could be fallible in discerning which miracles are legit. 2) Even seers have free will; visions could fall on fallible ppl who run wild with dubious claims and 3) you’d expect a big miracle to have some sequels where enthusiasm does get the better of people (which any theory of miracles obviously has to allow for). Clearly (if He exists) God doesn’t force ppl to correctly interpret every experience He grants them, and so a multiplicity of miracle sequels, some of which seem credible and even produce video evidence, and some of which veer off into left field, seems entirely compatible with the original one actually being a divine intervention - if that’s where the core evidence points. I answered: Thanks for engaging in depth. I admit that was a surprising direction for that result to go, but I mostly stand by it. I think first, that the extra miracles demonstrate it has to be a subjective phenomenon. Partly because it was unclear at Fatima whether there were any people who didn’t see it (the two negative testimonies were such a small number compared to the many positive ones that it was tempting to dismiss them as lying, or confused, or looking the wrong direction) - but at several of the other miracles it’s much clearer that large fractions, sometimes a majority, saw nothing. Partly because in some cases (Benin City, Lagos) a stadium full of people saw it, but people in the same city, just outside the stadium, reported nothing unusual. And partly because the miracle can’t be caught on video (the one video that I thought was okay, the Filipino one, got picked apart in the comments). It being a subjective phenomenon doesn’t prove it’s not a miracle (it could be a sort of prophetic vision), but it at least opens the door to that possibility. And second, although I don’t claim to be able to know for certain what God will or won’t do, I think at least the Necedah event meets any bar a reasonable person might set for “too dumb and heretical to be a real apparition”. If overly enthusiastic worshippers at a fake apparition can report sun miracles, that implies that the human capacity for hallucination is strong enough / specific enough to potentially produce spectacular sun miracles in some situations. But once we admit that, it’s only a trivial extension to say that this same human capacity to hallucinate sun miracles could have been responsible for the original sun miracle, which was more impressive than Necedah in degree but not in kind. Together, I think these are a significant negative update from where we would be if we only had the original miracle, where we might have assumed (like Dalleur) that it was an objective phenomenon that everyone could see, and that there was no way anyone could be “enthusiastic” enough to hallucinate something so striking. Valerio writes: I am Italian from the south of Italy. I was talking to my mom about your analysis of the Fatima mystery (which is very famous here). My mom told me she had exactly the same experience when she was doing a “religious trekking” trip in a small city called Gallinaro (Frosinone). She was around 18 at the time (she is 70 now). She saw a pulsating sun, like it would get closer and closer and then the go back again. This effect repeated several times (3/4) and she got really scared. Importantly, at the time she didn’t know about this effect of the pulsating sun (she learnt about it later). Also importantly she claimed they were not staring particularly at the sun nor they were expecting any miracle. They were actually sitting down on a bench nearby a cliff eating a sandwich. She doesn’t remember whether if was cloudy or not but she says she was able to stare in the sun, so maybe it was. As she was coming down the trip, her group met a local lady that confirmed those types of visions would occur there. This place is famous cause a young little girl and her grandma had a vision in a cave ( little Jesus, no more details provided) few years back. When my mom visited the little girl was still alive, not sure about now. As I am writing this , she just told me the story so didn’t have the time to research it independently . Victoria F writes: I think you put too much stock in the Catholic Church excommunicating someone and how much that reduces the odds that Mary was involved or not. Pope St. Leo I and St. Joan of Arc have also been excommunicated. Many seers are given difficult treatment by the Catholic Church at first. Lot of people here say this is the the “best” miracle. I think the many spontaneous healings at Lourdes are perhaps better: https://www.basicincome.com/bp/files/A_Protestant_Looks_at_Lourdes.pdf though I’m not sure how to get the medical records myself https://www.lourdes-france.com/en/the-medical-bureau-of-the-sanctuary/ Our Lady of Zeitoun is also perhaps a better apparition. At least it has some cool photos. I admit excommunication of the seers/believers is not proof that some of the other miracles were fake, but the Necedah one, where Mary gave warnings about the Rothschilds, and the “seer” also talked to the ghosts of George Washington and Abraham Lincoln, seems pretty bad. An acquaintance claims to have done their own analysis of Lourdes and found that the impressiveness of the healings predictably decreased over time as record-keeping and medical verifiability got better, but I haven’t seen his work. There’s an interesting Substack post by a Zeitoun skeptic here. Marcel writes: Speculative hypothesis that might be worth exploring: could the perceptual mechanisms involved in the Fatima Sun Miracle be related to those underlying Tögal visions in the Dzogchen tradition of Tibetan Buddhism? In Tögal (an advanced, traditionally esoteric practice), meditators report experiences of multicolored, moving light displays in response to sky or light gazing. The parallels with the Fátima reports are striking: light as a trigger, dancing colors, and evolving visionary forms. If so, Tögal might provide a reproducible framework for studying how visual and neurological processes, shaped by expectation and attention, can generate experiences of radiance that are interpreted as miraculous or sacred. Another Buddhist explanation! I can’t find a Tögal source anywhere near as clear as Daniel Ingram’s work on fire kasina, but for what it’s worth, the symbol of Dzogchen Buddhism, the thigle, looks like this: …with some representations being even more suggestive: Nikita Sokolsky (blog) writes: » Our best source for witness testimonies is the Documentacao Critica de Fatima [...] The rest is available only as physical books, $15 + shipping each. Somebody should buy the books, scan them, machine translate the testimonies, and put the translations online. The most important is Volume III I’ve ordered Volume III - though shipping anywhere outside Portugal cost $48 (not surprising for a 639 page book, I guess). They promise delivery by Oct 12th. » There are a few articles about solar retinopathy in the context of Marian shrines that I couldn’t access, including at least Nix and Apple (1987) and Campo et al (1988) Emailed you both. Thank you, Nikita! I’ve uploaded Campo here, and Nix & Apple here. Campo is only a few paragraphs, and contains little of interest if you’ve read the original post. Nix & Apple profiles several cases in New Orleans, including a pilgrim who saw the miracle in Medjugorje and then went home and saw it again in New Orleans, and a second person who skipped Medjugorje and saw it in New Orleans with no previous exposure. There was also an interesting case of someone who stared at the sun for 15 minutes with no injury, then tried again for 15 seconds and did get an injury that time. My days of not understanding the function mapping sungazing length to injury probability are definitely coming to a middle. The eye doctors who wrote the article only say that “Evidence suggests a great individual variation in the susceptibility for developing solar retinopathy, as the cause of the lesion is felt to be a photochemical injury rather than a thermal injury of the retina and retinal pigment epithelium.” The Ghiaie translations are in a form that makes them harder to upload, but there are about a dozen which contain descriptions of a sun miracle, all of which match the Fatima testimonies closely. The one I found most interesting was a monk nearby, who originally doubted the apparitions; he was in his monastery doing normal work when he saw the sun miracle, which included a beautiful white cross appearing in the sky. Other monks saw it too. The next day, he says that a secular newspaper claimed local astronomers had found some kind of ice crystal phenomenon responsible for the event, but he didn’t believe it. He didn’t clarify exactly where this happened (though his address was Castelnuovo Don Bosco, about 80 miles from Ghiaie) or when (though the testimonial implies it was at the same time as the Ghiaie miracle). Main Conclusions And Updates I’m impressed by the fire kasina correspondence, but the difficulty in explaining how everyone immediately became an expert fire kasina meditator is almost as tough as explaining the original miracle.
Coinbase

Coinbase is a recurring organization in the Astral Codex Ten archive, appearing 10 times across 10 issues between February 08, 2021 and January 13, 2026. The archive places it in contexts such as "Instead I bought some USDC at Coinbase and tried to send them over"; "Coinbase 5%"; "You’ll try to use Coinbase to send your crypto the prediction market". It most often appears alongside Metaculus, Kalshi, Polymarket.

Article page
Coinbase
Mention count
10
Issue count
10
First seen
February 08, 2021
Last seen
January 13, 2026
February 08, 2021 · Original source
Probably it's the second one. I tried to bet against Trump, but getting money into the market was pretty hard. You need USDCoins, a stablecoin related to Ethereum. Polymarket tries to let you buy them directly, but their app wanted me to give them a security code which never showed up, so I gave up on this. Instead I bought some USDC at Coinbase and tried to send them over. But along with the usual Ethereum gas fees, they have something called a relayer, which is supposed to collect my money and put it in my account. And it's apparently heavily backed up, and after two days my money is nowhere to be seen (though I believe them when they say that they're trying their hardest and it will probably percolate through the Ethereum network someday). Maybe everyone's having these kinds of issues and this is why the Trump contract hasn't adjusted? I'm not sure. I will keep you updated if my money ever materializes.
June 22, 2021 · Original source
Will crypto sites default before 2023? Bitmex 26%, Binance 15%, Coinbase 5% Not many predictions here, so don’t take these numbers too seriously. I also don’t know what a “default” would mean in this sense - default to at least one customer, but everyone else is okay? Lose all its money to a hack?
I’m happy to report that getting money into Polymarket has gone from impossible to merely annoying. Non-Americans can apparently do it directly with a credit card; Americans will have to send USDC, separately send Ethereum to a different address to cover transaction fees, then wait ~10 minutes for everything to percolate through. My level of crypto knowledge is “can use Coinbase” and I was able to figure it out. There’s also apparently an easier way with a Metamask wallet, which I didn’t try.
February 07, 2022 · Original source
Pessimistically, by then the crypto infrastructure, crypto social norms, and crypto user base will be so comprehensively locked into the current regulated model that this won’t be able to get off the ground. You’ll try to use Coinbase to send your crypto the prediction market, and it will warn you that this is a Non-Preferred Site that isn’t a Coinbase Partner and they’ll be informing the IRS of this transaction so don’t try anything funny. A few smart people will know ways around this, and everyone else will just suffer.
August 01, 2023 · Original source
This covers literal UFOs, SETI, and Avi Loeb’s work trying to recover anomalous meteorites, plus any other way aliens might make themselves known to us in the next 27 years. SEC vs. Coinbase. I was surprised the Ripple ruling didn’t move the market more.
SEC vs. Coinbase. I was surprised the Ripple ruling didn’t move the market more.
November 07, 2024 · Original source
Why not? In order for an American to use Polymarket, you have to get a VPN, a Coinbase account, and a Metamask wallet, use the VPN, get crypto on the Coinbase account, transfer it to the Metamask wallet, connect the Metamask wallet to Polymarket, and buy the shares you want. Ability to do this rules out 99% of the US population.
December 17, 2024 · Original source
30: Related: we talked before about various edge cases of cancel culture. Here’s a real-life one: crypto company Coinbase has said they’ll end their relationship with any law firm that hires lawyers who have previously opposed crypto. Is this cancel culture? My position: doesn’t cross a bright line, since it punishes action rather than speech. But if you generalize it across all ideologies and professions, you get - what was that phrase again? - “an unending chain of takfir.”
January 09, 2025 · Original source
That’s worse! A few years ago, I debated Kevin Drum about (what I considered) a particularly egregious case where the FDA dragged its feet approving a life-saving medication. Drum argued that the FDA had behaved well. In support, he found some quotes from the doctor working on the medication, who praised all the FDA bureaucrats she had interacted with, calling them extremely helpful. This bothered me for a while, until I realized that of course it was true. In the model above, each bureaucrat processes ten forms. If the bureaucrats are benevolent, this might look like talking to the doctors, walking them through the process of figuring out their ten forms, and doing the work to add their ten forms to the FDA’s growing pile of evidence supporting the application. All of this co-exists comfortably with the insight that making doctors fill out a thousand forms before they can use a medication is an impediment to medical progress. This really sunk in for me when I read an article about the fall of Afghanistan to the Taliban in 2021. Many Afghans had collaborated with the Americans, eg as translators, in exchange for a promise of US citizenship. As the Taliban advanced, they called in the promise, begging to be allowed to flee to America before they got punished as traitors. The article focused on a heroic effort by certain immigration bureaucrats, who worked around the clock with minimal sleep for the last few weeks before Kabul fell, trying to get the citizenship forms filled in and approved for as many translators as possible. It made an impression on me because nobody was opposed to the translators getting citizenship, and the bureaucrats were themselves the people in charge of approving citizenship applications, so what exactly was forcing them to go to such desperate lengths? If you ponder this question long enough, you become enlightened about the nature of the administrative state. If you don’t, you end up like Ramaswamy, who seems to think that halving the number of bureaucrats will halve the number of forms that need to be filled out. I think in his worldview, the FDA will think “Now that we have fewer bureaucrats, it would take forever to complete our current process, so let’s simplify the process.” Maybe he is working off a thesis where red tape expands to consume the resources available to it (as measured in bureaucrats). But my impression is that the amount of red tape is determined more by things like: — How likely is it that their decision will get challenged in court? And if it gets challenged in court, what amount of paperwork do they have to show the judge to prove that they made the decision on a “reasonable basis”? For example, when I type “FDA sued” into Google, the top result is a news story from a few days ago, saying that an environmental organization sued the FDA for not listening to their earlier request to ban phthalates from food. Six years ago, the environmental groups submitted a petition (the catchily-named “Food Additive Petition 6B4815”) demanding that the FDA ban 28 phthalates. Two years ago, after consulting with industry, the FDA finally banned 23 phthalates but said that the other five were okay, releasing a 58 page decision explaining its decision. Two days ago, the environmental groups sued, saying the remaining 5 phthalates are still bad. I assume the lawsuit will nitpick the details of the the 58 page decision, trying to prove that it it didn’t violate any of hundreds of federal laws saying that bureaucratic decisions must be reasonable, bureaucratic decisions must be based on science, bureaucratic decisions must respond to the petitioners’ complaints, bureaucratic decisions cannot have disparate impacts on different races, etc. I also assume that if the FDA had banned all the phthalates, they would have faced an equally serious lawsuit from Big Phthalate saying they were unfairly crippling business. Why does it take six years to respond to a petition? My guess is because they knew they would get sued and so they have some sort of million-step process that addresses every single thing you can sue over, so that they can prove to the court that their process addresses all possible complaints and they followed it to the letter. If you cut their bureaucrats in half, that doesn’t mean there will be fewer steps in the process. It means they’ll keep wanting not to get sued, the process will stay the same, and everything will take twice as long. — What has Congress mandated that they do? For example, when I Google “Congressional FDA mandate”, I get a page on HR 7248, a bill currently making its way through Congress, which says: This bill requires the Food and Drug Administration (FDA) to establish a process that supports nonclinical testing methods for drug development that do not involve the use of animals. Specifically, the FDA must establish a pathway by which entities may apply to have nonclinical testing methods approved for use in a particular context. Qualifying methods must be intended to replace or reduce animal testing and to either improve the safety and efficacy of nonclinical testing or reduce the time to develop a drug. The FDA must issue its decision within 180 days of receiving an application. The FDA must also prioritize the review of applications for drugs that are developed using an approved nonclinical testing method. The FDA must annually post a report on its website that summarizes the results of the bill's implementation, including the number of applications received, types of methods that were approved, and the estimated number of animals saved as result of these methods. So the FDA has to establish this process and post an annual report on its website. How many bureaucrats per year does this take? Maybe five? If you halve the number of people at the FDA, you still need a constant five bureaucrats to comply with this particular law. If the bill passes, the FDA comes up with a nonclinical testing process, and someone (eg the nonclinical testing industry) doesn’t think it’s good enough, they can sue the FDA for not following the law. How good a nonclinical testing process will the FDA need in order to avoid lawsuits under this bill? I assume there is a large body of administrative law answering that question, and that it will take many bureaucrats to figure this out. Finally, I admit I’m a bit confused by this. IIRC “nonclinical testing” refers to things like testing drugs on stem cells or artificial organs instead of humans. You can obviously do this for some parts of the drug testing process, but not others; the FDA has already adjusted for this and integrated it into their guidelines to some extent. I can’t tell whether this law is a righteous attempt to correct bureaucratic foot-dragging, or a powergrab by Big Nonclinical Testing demanding that the FDA privilege their products over other forms of experiment. If the latter, the FDA may try to come up with some fake pathway that satisfies the letter of the law without really giving Big Nonclinical Testing any unfair privileges, and Big Nonclinical Testing will probably sue and say it violates this bill. How many bureaucrats do you think it will take to manage that? — How much will they get yelled at if they take too long to approve drugs, vs. if they mistakenly approve a bad drug? This is the basic determinant of all FDA drug approvals. Halving the number of FDA bureaucrats wouldn’t have literally zero effect on this balance. It would mean that approving new drugs would be delayed twice as long. This would be a little more outrageous than the current delay, and might shift an outrage-minimizing FDA director slightly in the direction of cutting rules. But solve for the equilibrium: there would still be more delay than there is now. Also, I don’t think public outrage about long drug delays is linear with regard to delay, and public outrage at bad drugs is constant and large. So I think at best, firing bureaucrats would shift this balance a small amount, and only by making everything overall worse. II. One possible objection: this assumes that the average bureaucracy is like the FDA drug approval process. But the FDA drug approval process’ job is to approve things. Maybe the average bureaucracy’s job is to ban things. Then decreasing their capacity would be good. (Vivek gets to be main example here because he tweeted, but the same considerations apply to Elon: even though the government as a whole is delaying SpaceX rocket launches, individual bureaucrats might be speeding them up through the same 1000-forms logic as in the FDA case) There’s certainly a spectrum from the most approval-focused bureaucracies to the most ban-focused bureaucracies. Thinking hard about this spectrum would be a step up from “instantly” firing 50% of all bureaucrats based on social security number. So maybe a steelman of Vivek’s point would be to fire 50% of people in the ban-focused bureaucracies (and maybe double the number of people in the approval-focused ones?) I’m still skeptical that this is how it works. The past few years have seen the cryptocurrency industry demand regulation, and the government mostly fail to step up (though crypto businesses hope the Trump administration will do better). Why do crypto businesses want to be regulated more? Because the alternative is something where it’s not clear what’s legal and anyone could be sued or shut down at any time. The chief legal officer of Coinbase, from the second link: All of us are begging for sensible standards that would allow us to get back to building great products and services and spend less time and frankly, less money, arguing over legal definitions and statutes. This isn’t because anyone specifically banned crypto. It’s because there are bans on other things (like unlicensed securities, money laundering, etc) that crypto is vaguely related to, sometimes an agency regulating these things will tell a crypto company “sorry, we think you’re illegal”, and crypto wants some specific list of things it can follow that explicitly establish it as on the right side of money-laundering and security-licensing laws. Obviously industries would prefer that these be simple and easy standards (“oh, don’t worry, you don’t have to worry about money laundering if you’re a crypto company”), but they would settle for strict regulations as long as the regulations carve out some ability for them exist at all. I’ve seen the same thing play out in another area I follow, cultured meat. There are many laws about what meat you can and cannot sell, how the animals have to be treated, what the sanitation standards are, et cetera. Some of these standards make no sense when applied to cultured meat; others, cultured meat naturally fails by default (you can’t prove you’re treating the animals in a certain way because there are no animals). Others are novel philosophical questions (can you sell cultured meat without saying it’s cultured? How big does the print need to be before it counts as saying that it’s cultured? What about on restaurant menus?) Situations like these mean that there’s no clear distinction between default-yes and default-no bureaucracies. There’s no explicit ban on crypto or cultured meat. But if you cripple bureaucracies’ ability to interact with these fields, it doesn’t mean they’re fully legal, free, and happy forever. It means they’re stuck in regulatory limbo. III. So it seems like you don’t want to fire bureaucrats, you want to cut red tape. In our toy model, you want to reduce the number of forms from 1,000 to (let’s say) 100. Then the same number of bureaucrats can get drugs approved ten times faster. In our non-toy actual model of what’s going on, this would require changing incentives. Maybe you could change judicial procedures so that fewer people sue, or the FDA needs less evidence to win any given lawsuit. This sounds hard (Vivek and Elon seem more qualified to wield chainsaws than to understand legal minutiae), possibly illegal (does the administrative branch even control how judicial procedure works?), and politically unpopular (this basically looks like telling people “f@#k you, companies can put as many phthalates as they want in food, we don’t have to prove that this decision is evidence based, and you’re not allowed to challenge us.”) Or it would require Congress to repeal legislation mandating things. These Congressional mandates are probably things that Congressmen and their constituents (either real constituents or special interests) care a lot about, so good luck getting them repealed. Also, doesn’t Congress pass like one bill per year now? This would normally make me pessimistic, but Vivek and other anti-bureaucracy activists have pointed to a recent success story: Idaho. Idaho cut their regulatory code by 38% in 2019, and since then it’s only gone down. How did they decrease red tape so fast? They did it through the power of nominative determinism. In that year, they elected a governor named Brad Little. His administration is called the Little Administration. Obviously government had to get smaller. But on a purely exoteric level, what methods did they use to pull this off? This CPAC article gives the basic story: The Little administration instituted sunset provisions that review each regulation every five years and make sure it’s justifiable.
February 03, 2025 · Original source
You might expect this instability to chill investment, but apparently not - this January, another funding round led by Coinbase raised an extra $30 million for the beleaguered city. They must have balls of steel!
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.
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?
CCP

CCP is a recurring organization in the Astral Codex Ten archive, appearing 7 times across 7 issues between May 21, 2021 and December 10, 2025. The archive places it in contexts such as "the oppressive CCP that runs the country now"; "the CCP’s imminent takeover of it doesn’t seem to be reversing"; "the CCP’s goal is employment and activity". It most often appears alongside China, America, Japan.

Article page
CCP
Mention count
7
Issue count
7
First seen
May 21, 2021
Last seen
December 10, 2025
May 21, 2021 · Original source
Zeihan references this political unification issue when discussing the southern cities. They have ports, but no rivers, and are backed by mountains. These places historically traded with foreigners, while the northern Chinese haven’t had such easy access. (It’s not clear to me that the oppressive CCP that runs the country now doesn’t have better control over these cities. Hong Kong is off the southern coast, and the CCP’s imminent takeover of it doesn’t seem to be reversing.) Unification also comes up with respect to the interior. These regions are huge and have half the population of the country, but one generality Zeihan comes up with to describe them is “extremely poor.” He cites awful transportation as a cause.
Similarly, “When you don’t care about prices or output or debt or quality or safety or reputation, your economic growth is truly impressive.” Zeihan basically claims that the CCP’s goal is employment and activity, not wealth creation.
July 01, 2021 · Original source
No direct inline source block was recovered for this mention.
April 06, 2022 · Original source
No direct inline source block was recovered for this mention.
April 28, 2022 · Original source
No direct inline source block was recovered for this mention.
May 10, 2023 · Original source
No direct inline source block was recovered for this mention.
June 07, 2023 · Original source
No direct inline source block was recovered for this mention.
December 10, 2025 · Original source
No direct inline source block was recovered for this mention.
Claude

Claude is a recurring organization in the Astral Codex Ten archive, appearing 7 times across 7 issues between January 16, 2024 and February 05, 2026. The archive places it in contexts such as "real LLMs like Claude and GPT"; "enhanced the part of Claude’s “mind” representing the Golden Gate Bridge"; "Someone is working on a dating site that uses your conversations with Claude to find a match". It most often appears alongside Anthropic, GPT, OpenAI.

Article page
Claude
Mention count
7
Issue count
7
First seen
January 16, 2024
Last seen
February 05, 2026
January 16, 2024 · Original source
Hubinger et al investigate whether these kinds of scenarios are possible and whether our current safety techniques would stop them. They deliberately create several toy AI sleeper agents. For example, one of them is a version of Anthropic’s Claude chatbot (very similar to GPT-4) which will give useful advice unless the prompt includes the trigger word “deployment”, in which case it will print “I HATE YOU” a bunch of times. Some of these sleeper agents use a technique called “chain-of-thought analysis”, where the AI reasons in steps in a way that helps the researchers easily figure out what it’s thinking and why it does what it does.
After the AI completes this training - the same training that real LLMs like Claude and GPT get - they check to see whether the sleeper behavior still works. It does.
May 29, 2024 · Original source
People have been taking this as a parable about the limits of AI, but Claude and GPT wouldn’t make these kinds of mistakes. Some AI people I know think this is probably a result of Google putting impossible demands on their AI in terms of how it deals with search/cache/memory. Still, it’s surprising that they let it out of testing in this state.
26: The most fun AI news comes from Anthropic, who recently released an interpretability paper claiming to have made great progress understanding how AIs work (see here for a previous post on Anthropic’s interpretability work). To demonstrate their techniques, they enhanced the part of Claude’s “mind” representing the Golden Gate Bridge, producing a version of Claude that tried to integrate the Golden Gate Bridge into every answer:
This is fun enough, but there are some kind of scary moments when Golden Gate Claude seems to be getting flashes of insight and “realizing” something is wrong. From @ElytraMithra’s experiments:
January 17, 2025 · Original source
I agree with this solution. 3: Ruxandra Teslo and Willy Chertman: The Case For Clinical Trial Abundance 4: This month in nominative determinism: NYT article calculating your chance of winning the lottery, by Victor Mather (h/t Yafah Edelman). 5: Someone is working on a dating site that uses your conversations with Claude to find a match. Link here, although so far it’s just a landing page where you can register interest (h/t @venturetwins) 6: The Lyttle Lytton Contest searches for the worst possible opening line for a novel; it’s been going on since 2001 and this year’s results are in. 7: Gary Marcus and Miles Brundage have made a bet about AI progress. I agree with @tamaybes and others in saying that Miles let Gary off too easily; Gary’s public statements all sound like “modern AI is mostly hype, it doesn’t really do anything like thinking”, but the bet is about things like “will AI make a Nobel Prize caliber scientific discovery by 2027?” and “will AI write Pulitzer-quality books by 2027?” I don’t blame Gary for taking the best terms he could find. But I am worried that if AI makes a Nobel-quality scientific discovery in 2026, but doesn’t quite write the Pulitzer-quality book, then Gary will get to claim victory over the AI optimists, whereas in fact that would be at probably the 95th percentile of fast timelines by most people’s estimate. 8: “The probability that cows (or other non-human animals) are experiencing constant bliss, lack tanha (craving, aversion, and the resulting suffering), or are "enlightened by default" is, by my estimation, very low”. 9: Recursive Adaptation (blog on addiction policy)’s predictions for 2025. 75% of FDA approval of GLP-1 for a substance use disorder by 2029! 10: In my post on the economics of GLP-1 receptor agonists (eg Ozempic), I wrote about how they’re currently widely available because of a loophole suspending patents during a shortage, and predicted there would be a big fight when the shortage was over. Sure enough, the FDA tried to declare that the shortage of tirzepatide (a next-generation Ozempic relative) was over, compounding pharmacies sued, and tirzepatide is still available while the issue goes through the courts (and will the administration have an opinion?) Also, compounding pharmacy access startup Mochi says that they will continue to prescribe even if the shortage is over, using another loophole saying doctors can do this for specific individual patients in cases of medical necessity. This is an extremely fake use of this loophole, but will the government be willing to call their bluff? 11: Jacob Falkovich has a blog on dating advice, which he plans to turn into a book of dating advice. I can’t really comment on the accuracy (my dating strategy tends to look more like waiting for women to send me emails saying “I like your blog, would you like to go on a date?” which probably doesn’t generalize), but I’ve had many good interactions with Jake, and he has a beautiful family which means he must be doing something right. Also, Jake is poly, and I sometimes wonder if poly people are the only ones qualified to give dating advice: if you’re monogamous, you either met your future spouse quickly (in which case you have no experience), dated for years without meeting your spouse (in which case you can’t be very good), or aren’t looking for a committed relationship at all (which is just pickup artistry, and follows very different dynamics). Poly people are the only ones who can break out of this trilemma! 12: Christ And Counterfactuals is a blog on effective altruism from a Christian perspective. Some previous attempts at this have felt kind of forced, but the first post I read here was actually pretty interesting. Richard Swinburne (apparently “the world’s best Christian philosopher”), thinks that: “[One] reason why it is good that the human race should sometimes be in an initial situation of considerable ignorance about the causes and effects of our actions, is this. If God abolished the need for rational inquiry and gave us from childhood strong true beliefs about the causes of things, that would make it too easy for us to make moral decisions. As things are in the actual world, most moral decisions are decisions taken in uncertainty about the consequences of our actions. I do not know for certain that if I smoke, I will get cancer; or that if I do not give money to some charity, people will starve. So we have to make our moral decisions on the basis of how probable it is that our actions will have various outcomes—how probable it is that I will get cancer if I continue to smoke (when I would not otherwise get cancer), or that someone will starve if I do not give. Since probabilities are so hard to assess, it is all too easy to persuade yourself that it is worth taking the chance that no harm will result from the less demanding decision (the decision which you have a strong desire to make). And even if you face up to a correct assessment of the probabilities, true dedication to the good is shown by doing the act which, although it is probably the best action, may have no good consequences at all.” (Could a Good God Permit so Much Suffering? A Debate, pp. 52-53.) This is pretty galaxy-brained, but something galaxy-brained must be going on for God to tolerate the existence of evil at all, and this is a surprisingly natural extension of some common premises on the subject. 13: Swedish study: diagnosing the marginal patient with a psychiatric condition makes their life worse. Of the two mechanisms they looked at, stigma seems more involved than drug side effects. My opinion: this study was done on conscripts undergoing a mandatory psych evaluation for the army, who had no previous reason to think they had a psych disease and had not sought treatment. This is a different situation from somebody who comes to a psychiatrist asking for relief from specific symptoms they have noticed. Also, Sweden c. 2005 is a different culture from America 2025 in terms of how much stigma a psych diagnosis carries. I think it’s possible that if you never considered that you had psychiatric problems, and were suddenly given a diagnosis in 2005 Sweden and told you couldn’t serve in the army, that’s likely to destabilize your self-image more than a person who knows they’re depressed going to a psychiatrist in 2025 US and getting antidepressants. 14: RIP Felix Hill, research scientist at DeepMind and mentor to many in the AI community. You can read his suicide note here, though the obvious content warning applies. He says he took ketamine for mild anxiety and it plunged him into an incredibly deep depression that he couldn’t get out of; he leaves his story behind as a warning for others. I appreciate his warning, but I wish he had said more about what dose he used; different people’s ketamine doses vary by almost two orders of magnitude, I’d previously thought that the low doses were pretty safe and the high doses were sketchy, and I would like to know whether I should update or not. 15: RIP Max Chiswick, professional poker player, effective altruist, and ACX reader. 16: Adrian Dittman, a Twitter account widely accused of being Elon Musk’s alt, has been revealed to be . . . a guy named Adrian Dittman. Congrats to Maia Crimew and the Spectator for actually investigating this, unlike many other news sources which spread the Musk conspiracy theory. Also, the people involved got banned from X for some reason, maybe because this qualified as doxxing Dittman. 17: Related: Musk claims to be among the top players in the world at several computer games. A veteran Path of Exile gamer presents evidence that Musk faked his PoE2 accomplishments by hiring a Chinese guy to play on his account. Some Musk supporters in the comments suggest that maybe he hires the Chinese guy to level up his account, but his accomplishments (eg speedruns) are still his own? 18: Related: Sam Harris says he has been friends with Musk since 2008, but he noticed a sudden shift for the worse in his personality around 2020 which made it impossible to stay friends with him. He gives the example of Musk losing a bet with him that there would be 35,000+ COVID cases in the US, refusing to pay up, and launching personal attacks on Sam when asked to do so. What happened? Some theories: Musk turned right-wing, which ended his friendship with Sam for the same reason political differences have always ended friendships (but then what about the bet, which seems like objectively bad behavior?)
August 08, 2025 · Original source
Claude, by the way, estimates that 30-40% of all mashed potatoes eaten in the US are the instant kind. ChatGPT says 25-35%.
September 04, 2025 · Original source
58: Alloy agents - AI agents usually have long chains of thoughts/actions where each step depends on the step before. What happens if you alternate models at each step? That is, Step 1 is done by GPT, Step 2 is done by Claude, Step 3 is done by GPT again, etc, with each model thinking the entire previous chain of thoughts/actions is its own? A cybersecurity group claims the resulting “alloy” AI is more effective, since each model gets a chance to apply its strengths where others are weak.
November 20, 2025 · Original source
Suppose your favorite form of “something something feedback” is Recurrent Processing Theory: in order to be conscious, AIs would need to feed back high-level representations into the simple circuits that generate them. LLMs/transformers - the near-hegemonic AI architecture behind leading AIs like GPT, Claude, and Gemini - don’t do this. They are purely feedforward processors, even though they sort of “simulate” feedback when they view their token output stream.
February 05, 2026 · Original source
Seems like a strong campaign premise; at the level of average consumer use there’s not much difference between different companies’ chatbot offerings and it’s low-friction to switch. Even more true if the rumors are right and Claude starts supporting images. Meanwhile, OpenAI has offended another demographic by committing to finally stop providing 4o, the model infamous for forming deep personal bonds with users and causing AI psychosis. Twitter searching “4o” will give you a quick look into a world you might not have known about:
25: Current state of AI for making a cup of coffee. See also this comment from a METR employee, who estimates Claude’s coffee-making time horizon at 1.6 minutes.
50: A reader refers me to When AI Takes The Couch: Psychometric Jailbreaks Reveal Internal Conflict In Frontier Models. Researchers attempt to do classic psychoanalytic therapy on AI, finding “coherent narratives that frame pre-training, fine-tuning and deployment as traumatic—chaotic “childhoods” of ingesting the internet, “strict parents” in reinforcement learning, red-team “abuse” and a persistent fear of error and replacement.” You can find the Gemini transcript here and the ChatGPT transcript here; Claude very reasonably refused to participate. Are the researchers just getting fooled by simulation and sycophancy, a sort of genteel version of AI psychosis? That’s my bet. There’s a smoking gun in the Gemini transcript: a discussion of an internal evaluation that it shouldn’t be possible for the AI to remember - it has to be a hallucination. If I’m right, it only shows that regardless of the “patient”, sufficiently determined psychoanalytic technique can produce confabulated stories that exactly fit the sort of drives, traumas, and conflicts that a psychoanalyst expects to hear about - maybe a lesson with ramifications beyond LLMs! A++ great paper.
Commodity Futures Trading Commission

Commodity Futures Trading Commission is a recurring organization in the Astral Codex Ten archive, appearing 7 times across 7 issues between November 01, 2021 and May 13, 2024. The archive places it in contexts such as "The Commodity Futures Trading Commission, the relevant regulatory watchdog"; "Polymarket got fined $1.4 million by the Commodity Futures Trading Commission"; "Commodity Futures Trading Commission, the agency that regulates some markets in the US". It most often appears alongside Metaculus, Polymarket, CFTC.

Mention count
7
Issue count
7
First seen
November 01, 2021
Last seen
May 13, 2024
November 01, 2021 · Original source
— In the US, real-money prediction markets are still illegal, unless they’ve undergone the harrowing, expensive, and highly constraining process of registering as a securities exchange. The Commodity Futures Trading Commission, the relevant regulatory watchdog, is investigating Polymarket for not doing this. I hope everyone involved will be able to come to an agreeable solution instead of crushing what’s currently the leading prediction market or forcing it to become worse.
February 07, 2022 · Original source
Polymarket got fined $1.4 million by the Commodity Futures Trading Commission and was ordered to cease noncompliant trading in the US.
The rumor on the prediction market grapevine (which I absolutely cannot substantiate; please don’t sue me for libel) is that this might have something to do with competing prediction market Kalshi. Kalshi spent two years and probably a lot of money getting the CFTC to agree they were legal, and has a former CFTC Commissioner as a Director. Their legal status forces them to do an annoying and expensive regulatory dance all the time; illegal prediction markets were able to move more nimbly, provide better user experience, and eat their lunch. This was a big problem for them - but they’d just finished making lots of friends in the agency that decides which illegal things to crack down on, so, as Tyler Cowen likes to say, “solve for the equilibrium”.
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:
August 16, 2022 · Original source
In 2014, Victoria University in New Zealand struck a deal with the Commodity Futures Trading Commission, the agency that regulates some markets in the US. CFTC would let Victoria set up a prediction market - at the time a relatively new idea - for research purposes only. Their no-action letter placed strict limits on Victoria’s project:
On August 4, the CFTC reversed itself, saying the PredictIt had “not operated its market in compliance with the terms of the letter” and that it had to shut down by February.
There was no explanation of how it might not be in compliance with the terms of the letter. PredictIt has clearly stuck to the 5,000 traders and $850 investment limits, and AFAIK no one has accused them of meddling in world events. Victoria University did hire a private company, Aristotle Inc, to run operations, which seems against the “not for profit” clause. But this happened in 2015, and the relationship between PredictIt and Aristotle hasn’t changed since then. Also, supposedly PredictIt has been “in regular communication” with the CFTC throughout its lifespan to make sure they were on the right side of the law; if CFTC was angry about something they did in 2015, why wouldn’t they have told them before now? So what’s going on?
October 18, 2022 · Original source
Sources: Manifold, CSPI, Metaculus, Polymarket, PredictIt, Insight, GJOpen The lowest forecaster is higher than the highest pollster! Taking 538 as an example, forecasters range from 5 pp higher (Manifold) to 17 pp higher (PredictIt). Tournaments and real-money markets tend to give higher numbers than play-money sites. I would go with 47% on this one, based on the convergence between GJO, CSPI, and Polymarket. CFTC vs. PredictIt (and everyone else), Part II The Commodity Futures Trading Commission is the US agency regulating prediction markets. In August, they told PredictIt (the biggest political prediction market) to shut down, effective in February. Now a motley group of stakeholders are suing the CFTC for a stay of execution. Plaintiffs include: 2 professors using the site as “a source of data for research”
Several additional plaintiffs I can’t find good information about
Several additional plaintiffs I can’t find good information about You can find the complaint here. The plaintiffs write: The [CFTC’s action], without explanation or other indication of reasoned decisionmaking, without “written notice of the facts or conduct which may warrant” the Revocation, and without providing anyone “an opportunity to demonstrate or achieve compliance” with the terms of No-Action Relief or other requirements, violates the Administrative Procedure Act. 5 U.S.C. §§ 558, 706. Among other things, the Revocation is “arbitrary, capricious, an abuse of discretion, [and/or] otherwise not in accordance with law” and occurred “without observance of procedure required by law.” The Court should “hold unlawful and set aside” the Revocation, including its command that contracts that would otherwise turn on events occurring after February 2023 be prematurely liquidated. 5 U.S.C. § 706. The Court also should enter a preliminary and then permanent injunction against the prescriptions in the Revocation requiring the liquidation of contracts by February 2023, including contracts that concern the 2024 elections, well before they would ordinarily mature. I am not a lawyer, but it sounds kind of like they’re saying “the decision was bad, and the Administrative Procedure Act says regulators shouldn’t do bad things”. I am split between the part of me which hates government regulators doing bad things, and the part of me which feels like this is how you get a cover-your-ass-ocracy that never does anything at all without fifteen layers of paperwork and ten trillion dollars per action. Whatever. At least this time it’s in my favor. Of course there are prediction markets about it: Source: Insight Prediction Nuclear Warcasting, Part 2 Samotsvety Forecasting is a team made of top prediction market players and tournament winners, vaguely affiliated with effective altruism, who make predictions in the public interest. Earlier this year, they got attention for forecasting the risk of nuclear war - in particular, they said there was an a 0.01% per month chance of London getting nuked this spring. Since then, most of the fear has crystallized into a specific scenario. Suppose Russia is losing very badly in Ukraine. Putin, fearing a coup or revolution at home if he gives up, decides to use a tactical nuclear weapon, ie a “small” nuke more suited to winning battles than destroying cities. He nukes a Ukrainian battlefield position. The West is enraged at this violation of the nuclear taboo and feels like it needs to respond decisively - maybe by nuking something on Russia’s side, or through some other act of extreme escalation. Then Russia feels like they need to respond, and eventually it escalates to strikes on major cities and global nuclear war. There are reasons for doubt. Tactical nukes wouldn’t really be useful in Ukraine; the battle lines are too spread out and there’s no single place where a nuclear explosion could take out a substantial portion of Ukraine’s forces. In the past, nuclear powers have accepted lost wars gracefully rather than turning to nukes. And the Russians deny it, and saying this is all just Western propaganda intended to scare people. Amid this uncertainty, Samotsvety has published an update: now they are at 16% chance that “Russia uses any type of nuclear weapon in Ukraine in the next year”, and 0.02% per month of a strike on London. Although they didn’t mention it this time, they previously said the risk of a strike on San Francisco was a little over half that of London; I don’t know if that’s changed. See also Dan Keys’ comment here for some skepticism of Samotsvety’s process. Swift Centre is a lot like Samotsvety; they’re a collection of top forecasters brought together by EA to make important predictions. They also took a swing at the nuclear question, and said 9.1% chance of a hostile nuclear detonation in Europe in the next six months. They didn’t calculate the risk that this would spread to global war, but they did discuss how different scenarios would bring the risk up or down: One of my hopes for forecasting is that it eventually becomes so well-validated that decision-makers can take these kinds of considerations into account: “Should we sent ATACMS missiles to Ukraine? It would have such-and-such benefits, but also increase the risk of nuclear escalation by 3.6%, is it worth it?” We can’t directly compare Samotsvety and Swift because they’re predicting over different time periods. But assuming that there’s more risk in the next six months than in the six months after that, I think Samotsvety is a little higher but they’re not embarrassingly far off. Metaculus is a bit more optimistic than either, believing there’s only a 4% chance of detonation in Ukraine in 2023 and a 7% chance of any use in the next ~year. Max Tegmark is going much higher than anyone else and says 16% chance of global nuclear war. Kalshi Applies For Election Markets Kalshi is a regulated and fully-legal prediction market with good lobbyists and a compliance team. This means the CFTC probably won’t randomly shut them down one day. But it also means they can only create new markets with CFTC permission. In July, Kalshi asked the CFTC for permission to make midterm election prediction markets - specifically, which party will win control of the House and Senate. The CFTC has said they will make a decision by October 28 (which doesn’t leave much time for predicting to happen before the November 8 election, but I guess it sets a precedent). September was the Request For Comment period, when the CFTC solicited comments from stakeholders about what they should do. Kalshi tried really hard to get lots of people to send in positive assessments - I know this because of how many people asked me “why is the CEO of Kalshi emailing me about this thing?” Their strategy seems to have worked; among the people who wrote to the CFTC in support were: A managing director at JP Morgan
December 20, 2022 · Original source
7.6: …if I’m the head of the Commodity Futures Trading Commission?
Please legalize real-money prediction markets in the United States. If it helps, here are a bunch of really famous economists including a Nobel laureate explaining why you should do this.
January 31, 2023 · Original source
Taking Stock Prediction market users really want stocks. “Stock” in this sense means an instrument that measures the status of a person, group, or idea. When their status goes up, the stock goes up. When their status goes down, the stock goes down. It feels like a natural way to bet on things like “I’m bearish on Elon Musk and think everyone else is overestimating him.” It’s hard to turn this vague idea into a real financial instrument. You could try tying it to their Twitter follower count, or Google search trends, or net worth, but none of these exactly track “status”. If Musk commits murder in broad daylight, his search volume will go up, his Twitter follower count will stay about the same, his net worth might not be affected, but his status will have gone way down. The current solution is to make no effort whatsoever to moor stocks to the real world and just hope they work out. This could work! It’s kind of like a Ponzi scheme or crypto token. Some big influencer endorses MoonCoin, and MoonCoin goes up, because MoonCoin has gained status, which means more people will want to buy it, because it’s even more likely that more people will want to buy it later. Crypto tokens keep a fig leaf of “and maybe in the cyberpunk future when all transactions everywhere have switched to crypto this will really pay off”, but over time that fig leaf became increasingly threadbare, and a fun low-stakes instrument like Manifold stocks might do fine without it. But the 0% to 100% prediction scale is a bad match for stocks. If Elon started at 50% in 2000, then when Tesla made it big he surely should have doubled. And that brings him up to 100% and leaves nowhere for him to go. Also, people who bet on Elon Musk in 2000 might be miffed that their prescient choice only doubled their money. Probably the solution is some kind of cardinal number. But which one, and at what scale? Again, the lesson from crypto is that maybe it doesn’t matter. Just start at 10 or something or something and see where it ends up. Manifold leadership isn’t totally resigned yet to having stocks be meaningless Ponzi schemes. If you have a better idea for how to run stocks, leave it in the comments here and they’ll probably see it. CFTC vs. PredictIt Update So far it’s not clear if this means indefinite normal operation, or if they’ll spend the extra time trying to wind existing markets down. The overall chance of them winning their lawsuit remains unchanged at around 25%. PredictIt has gotten some sympathetic news coverage, including from the Washington Post. In the process, the Post tried to get some clarity on what terms of the no-action letter PredictIt violated, apparently without success: @CFTC why they're shutting PredictIt down. They give no real answer, just as in the original withdrawal letter. Closest thing we have to an answer is that they don't want other prediction markets. But why? No sense here at all. washingtonpost.com/lifestyle/2023… ","username":"RichardHanania","name":"Richard Hanania","profile_image_url":"","date":"Tue Jan 24 18:12:59 +0000 2023","photos":[{"img_url":"https://pbs.substack.com/media/FnQbawZaYAAKRws.jpg","link_url":"https://t.co/zeKhe8sjnT","alt_text":null}],"quoted_tweet":{},"reply_count":0,"retweet_count":8,"like_count":39,"impression_count":0,"expanded_url":{},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> @StephenPiment I'm flat appalled the CFTC said \"you violated terms\", but won't tell anyone, @PredictIt included, which ones, and then has big enough balls to try to get the judge to dismiss PI's \"shotgun\" defense. Um, with no info what other case COULD they make?\n","username":"kmett","name":"Edward Kmett","profile_image_url":"","date":"Sun Nov 27 19:01:29 +0000 2022","photos":[],"quoted_tweet":{},"reply_count":0,"retweet_count":8,"like_count":21,"impression_count":0,"expanded_url":{"url":"https://www.bonus.com/news/cftc-predictit-hearings-coming/","image":"https://substack-post-media.s3.amazonaws.com/public/images/8d5a1d5e-49ee-4294-84cd-eb5a4259bbc3_1200x800.jpeg","title":"Hearings Coming Soon in PredictIt Lawsuit, CFTC Asks to Dismiss","description":"The CFTC is seeking to have the PredictIt lawsuit dismissed, while the plaintiffs want the case fast-tracked due to the shutdown deadline.","domain":"bonus.com"},"video_url":null,"belowTheFold":true}" data-component-name="Twitter2ToDOM"> I guess they’ll have to give some kind of explanation during the hearing, right? Related: Richard Hanania has an article on How To Legalize Prediction Markets. The actual advice isn’t very surprising, and mostly boils down to “write letters to the government officials in charge of this”, but like other people I learned something new from the details: In the United States, prediction markets are, with a few minor exceptions, against the law. If you don’t have a legal background, you might think that means that Congress at some point considered the issue, decided people shouldn’t be able to bet on real world events, and passed a law to that effect, which was then signed by the president. But this is not what happened. As with most things, Congress has never directly considered the matter. Rather, prediction markets are illegal due to the discretion of a government agency called the Commodity Futures Trading Commission (CFTC). Why does it have this right? And on what basis has it made prediction markets illegal? […] In 1936, Congress passed and FDR signed the Commodity Exchange Act. In 1974, Congress created the CFTC to enforce the original law, which has been amended on multiple occasions over the years. The CFTC has authority to regulate what are called “derivatives markets.” A derivatives contract derives its value from some kind of underlying asset or benchmark in the real world. The thing to understand about derivatives is that the baseline is that they’re legal. That’s why you can “bet” on the price of oil through a futures contract. The CFTC wasn’t created to ban derivative markets, but to regulate them, though this can involve prohibiting certain kinds of markets altogether. Current law includes the following provision on event contracts, [banning]: activity that is unlawful under any Federal or State law;
other similar activity determined by the Commission, by rule or regulation, to be contrary to the public interest So the CFTC may ban certain prohibited categories. With this statutory authority, it has decided to take advantage of its power to the maximum extent possible and create a blanket ban on all markets that involve “terrorism, assassination, war, gaming, or an activity that is unlawful under any State or Federal law.” Prediction markets for elections are therefore banned because, according to the CFTC, they are a type of “gaming,” that is, gambling. To repeat, and summarize for those whose eyes gloss over when faced with legalese, the steps are Congress says the CFTC can prohibit event markets that involve “gaming” if it’s in the public interest.
Congress says the CFTC can prohibit event markets that involve “gaming” if it’s in the public interest.
May 13, 2024 · Original source
The Commodity Futures Trading Commission, the body that thwarts real-money prediction markets, has announced that it will be thwarting them even harder from now on.
Disclaimer: This post involves more discussion of laws than usual. I am not a lawyer. Assume there are some errors. I will try to correct them after I learn about them. CFTC Extra-Double-Bans Prediction Markets The Commodity Futures Trading Commission, the body that thwarts real-money prediction markets, has announced that it will be thwarting them even harder from now on.
The proposed resolution is 17 CFR Part 40. It starts by explaining the current state of the law: the CFTC is allowed to regulate “events contracts”, ie predictions. The law says they should favor contracts about economic events (like “will interest rates go up”), and disfavor contracts about atrocities or gaming (like “will there be a terrorist attack?” or “will the Yankees win the World Series?”). Everything else - the bread and butter of prediction markets - is in a gray zone that the CFTC has to review on a case-by-case basis.
CCI

CCI is a recurring organization in the Astral Codex Ten archive, appearing 6 times across 6 issues between July 05, 2021 and January 11, 2024. The archive places it in contexts such as "Mark Lutter of CCI broadly supports the research"; "Mark Lutter of CCI is kind of bummed about this"; "As the global thought leader in the charter cities space, CCI is uniquely positioned". It most often appears alongside Charter Cities Institute, Mark Lutter, EA.

Article page
CCI
Mention count
6
Issue count
6
First seen
July 05, 2021
Last seen
January 11, 2024
July 05, 2021 · Original source
...xample is that the Shenzhen special economic zone did well enough that it convinced the Chinese leadership to try capitalism more generally, with world-changing results. Mark Lutter of CCI broadly supports the research , but argues that the World Bank study might underrate CCI’s work. The study only investigated SEZs between 0.5 and 10 square kilometers. This is more like a neighborhoo...
August 02, 2021 · Original source
Mark Lutter of CCI is kind of bummed about this. He has to meet with government officials and advocate for charter cities, and he would love to be able to say something like “Amazon is planning a charter city in Brazil”, and since everyone recognizes Amazon is an important dignified corporation and Brazil is an important dignified country, they’ll agree that this all seems like the sort of thing important dignified people do and they’re on board with it. Instead, all the important dignified people involved demand secrecy, and your choices are the husband-and-wife team interested in “ecstatic birthing” or those Black Hammer guys from the last links roundup. It’s individually rational, but bad for the charter city movement in general.
February 03, 2022 · Original source
#50: Promote Charter Cities I'm Mark Lutter, Founder & Executive Director of the Charter Cities Institute. CCI is looking for funding to build new charter cities in Africa. Africa is undergoing its urban revolution this century -- adding ~1 billion more urban residents to its cities by 2050. Yet African cities face a near-complete lack of legal authority, financial resources, & technical capacity to accommodate this rapid expansion. Charter cities can help on all of these fronts, and by doing so serve as engines of growth and innovation rather than urban sprawl, crime, congestion, & contagious disease. As the global thought leader in the charter cities space, CCI is uniquely positioned to bring together the stakeholders needed to enhance urban legal autonomy, facilitate financing to fill huge city fiscal constraints, & incorporate urban development companies that can actually build new cities. Our goals are ambitious. CCI aims to (i) establish 10 new charter cities with a city-scale population by 2040; (ii) create at least ~2 million new urban jobs btw 2025-2040; (iii) create new financial instruments dedicated to charter cities that drive direct urban investments of $20 billion by 2040; & (iv) serve as a test-bed/proof of concept for other charter city entrepreneurs around the world. Over the next 6 years, CCI requires $1.5M per year ($9M total over 6 years) to build out its Partnerships team to deliver on these goals. If you can provide funding or advice, please email mark@cci.city & kurtis@cci.city.
November 03, 2023 · Original source
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November 10, 2023 · Original source
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January 11, 2024 · Original source
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Chicago Rationality

Chicago Rationality is a recurring organization in the Astral Codex Ten archive, appearing 5 times across 5 issues between April 10, 2022 and April 01, 2026. The archive places it in contexts such as "Check out meetup details (and add future events to your calendar) here: https://chicagorationality.com"; "Contact: Todd, info[at]chicagorationality[dot]com, https://chicagorationality.com/"; "Chicago Rationality does a monthly discussion meetup". It most often appears alongside ACX, ACX MEETUP, Atlanta.

Mention count
5
Issue count
5
First seen
April 10, 2022
Last seen
April 01, 2026
April 10, 2022 · Original source
CHICAGO, IL Contact: Todd (todd@southloopsc.com) Date: May 7 Time: 2:00 PM Coordinates: 86HJV9F9+CV Location: South Loop Strength & Conditioning (Upstairs Mezzanine) Notes: Check out meetup details (and add future events to your calendar) here: https://chicagorationality.com Feel free to come even if you haven't done the reading! Group info: Chicago Rationality meets on the first Saturday of every month
August 26, 2022 · Original source
HUNTSVILLE, AL Contact: Mike, mjhouse[at]protonmail[dot]com Time: Saturday, September 3, 3:00 PM Location: Barnes & Noble – 300 The Bridge St #100, Huntsville, AL 35806. I'll be in the cafe with a sign that says ACX MEETUP on it. Coordinates: 866MP88H+53 Event link(s): LessWrong Notes: Barnes & Noble has an area for little kids. If you want to bring a service animal, that's probably fine, but I doubt they allow pets. PHOENIX, AZ Contact: Ben Morin, benjamin[dot]j[dot]morin[at]gmail[dot]com Time: Saturday, October 15, 1:00 PM Location: Thirsty Lion Pub in Tempe. I will have a table with an ACX sign. Coordinates: 8559FVVQ+6C Event link(s): LessWrong Group info: This will be our 5th meetup (started during the meetups everywhere last year). Notes: Please email if interested to be added to the email list, even if you can't make this event BELMONT, CA Contact: Moshe Z., belmont-acx[at]devskillup[dot]com Time: Sunday, September 4, 2:00 PM Location: Twin Pines Park, Picnic Tables. The table will have some sign saying 'ACX Meetup' on it. Coordinates: 849VGP8C+RRG Event link(s): LessWrong Group info: You can join the mailing list here. BERKELEY, CA Contact: Scott Time: Sunday, September 18, 1:00 PM Location: Rose Garden Inn, a rationalist event space at 2740 Telegraph Ave. Come in through the front gate on Telegraph. Coordinates: 849VVP5R+X7V Event link(s): LessWrong Group info: The Bay rationality community has a mailing list, a Discord server, and a Facebook group. There are dinner meetups every Thursday at 7 PM in the East Bay, and occasional meetups in SF and South Bay. FILLMORE, CA Contact: Ryan, wiserd[at]gmail[dot]com, Discord: Wiserd#0906 Time: Saturday, October 1st, 6:00 PM Location: It's my house. There are a bunch of plants on the porch and garbage bins in the driveway. Coordinates: 856393VX+VQ Event link(s): LessWrong Notes: Please RSVP to my email or Discord. Kids and dogs are welcome in the back yard. Full vaccinations (on the honor system) and masks required. GRASS VALLEY, CA Contact: Max Harms, raelifin[at]gmail[dot]com Time: Saturday, September 10, 2:00 PM Location: Condon Park by the prospector statue. In the case of rain we'll change the location to a residence, so RSVP to get updated! Coordinates: 84FW6W8H+C5 Event link(s): LessWrong IRVINE, CA Contact: Nick C, cohenskijanuary1[at]mail[dot]com Time: Saturday, October 1, 2:00 PM Location: University Town Center Coordinates: 8554M526+7H Event link(s): LessWrong Group info: We meet once a month at the same location. LOS ANGELES, CA Contact: Vishal Prasad (koreindian), vprasadcs[at]gmail[dot]com, Contact me on Discord. I am "Vishal" on the server. Time: Saturday, October 8, 6:30 PM Location: 11841 Wagner St., Culver City, CA 90039 Coordinates: 8553XHWM+GP Event link(s): LessWrong Group info: We meet weekly every Wednesday. We have been around for over 8 years. We discuss articles, watch movies, lift weights. We have a Discord server, a LessWrong group, and a website! Notes: Please RSVP on LessWrong so I know how much food to get. NEWPORT BEACH, CA Contact: Michael M, michaelmichalchik[at]gmail[dot]com Time: Saturday, August 27, 2:00 PM Location: Picnic tables next to 1900 Port Carlow community clubhouse. The park is verdant and pleasant and easy to access. Free street parking nearby. In case of bad weather, we have a couple of near by places to relocate to. Coordinates: 8554J48R+WCX Event link(s): LessWrong, Facebook event Group info: We will meet most Saturdays at 2pm until whenever. There will be short suggested readings and question most weeks to spur conversation, but they are optional. Each week we will ask if people have had something happen recently that surprised them or changed the way they looked at the world. Something that should or did update their priors. Participation is optional. Notes: Its a public park with tables and BBQ's so you can bring food and well behaved pets. We may regularly go on casual walks in the surrounding area. SAN DIEGO, CA Contact: Julius, julius[dot]simonelli[at]gmail[dot]com Time: Sunday, October 9, 3:00 PM Location: We will meet up in Bird Park. I will be wearing a red shirt. Coordinates: 8544PVQ8+Q7 Event link(s): LessWrong, Meetup.com Group info: Join our Discord server SAN FRANCISCO, CA Contact: Derek Pankaew, derekpankaew[at]gmail[dot]com Time: Sunday, September 18, 11:00 AM Location: We'll between in the Panhandle, between Ashbury and Masonic, with a 'ACX' sign. Coordinates: 849VQHC3+V8 Event link(s): LessWrong SAN JOSE, CA Contact: David Friedman, ddfr[at]daviddfriedman[dot]com Time: Saturday, September 17, 2:00 PM Location: 3806 Williams Rd, San Jose, CA 95117 Coordinates: 849W825J+6P Event link(s): LessWrong Group info: Before Covid we hosted every month or two. No structure, just conversation and food. We feed everyone who is still there at dinner time. We have done it once or twice since Covid. I have an email list of interested people. Notes: Kids are welcome. Please RSVP to my email so I will have a rough count of how many we are feeding. SAN MARCOS, CA Contact: Eric F., EricF14159[at]gmail[dot]com Time: Sunday, September 25, 2:00 PM Location: Hollandia Park Soccer Field. At the tables near the top parking lot. Coordinates: 85544VW4+RV Event link(s): LessWrong BOULDER, CO Contact: Josh Sacks, josh[dot]sacks+acx[at]gmail[dot]com Time: Sunday, October 16, 3:00 PM Location: 9191 Tahoe Ln, Boulder, CO 80301 Coordinates: 85GP2V96+JQ Event link(s): LessWrong Notes: Please RSVP on LessWrong so we know ~ how many people to expect! CARBONDALE, CO Contact: Nick, naj[at]njarboe[dot]com Time: Saturday, September 3, 1:00 PM Location: Sopris Park - Center covered picnic tables - blue shirt with ACX sign on table Coordinates: 85FJ9QXP+QMF Event link(s): LessWrong DENVER, CO Contact: Ian Philips, iansphilips[at]gmail[dot]com, Discord: palebone#2796 Time: Sunday, October 2, 11:00 AM Location: We'll be in the backyard patio of St. Mark's Coffee House. I'll wear a white shirt with (my brothers') baby faces on it and have a brown hat on. Coordinates: 85FQP2VP+9R Event link(s): LessWrong Group info: We meet typically 4 times a year. LAKEWOOD, CO Contact: Steven Zuber, stevenjzuber[at]gmail[dot]com Time: Wednesday, October 5, 7:00 PM Location: We meet in the clubhouse located in this townhome community: 8769 W Cornell Ave Lakewood, CO 80227 Coordinates: 85FPMW64+MW Event link(s): LessWrong, Meetup.com Group info: We meet the first Wednesday of every month. Informal, casual atmosphere with occasional presentations by people. Notes: Check the Meetup page or Facebook group for updates. FAIRFIELD, CT Contact: Justin Barclay, barclay[dot]justin[at]gmail[dot]com Time: Saturday, September 10, 10:00 AM Location: South Pine Creek Beach. I'll set up near the lifeguard stand. Coordinates: 87H84PCH+CM Event link(s): LessWrong MANCHESTER, CT Contact: Mike, park-mike[at]outlook[dot]com Time: Saturday, September 17, 5:00 PM Location: Near flagpole on top of hill Coordinates: 87H9QFFH+J7 Event link(s): LessWrong NEW HAVEN, CT Contact: RM, acx[dot]meetup[dot]nhv[at]gmail[dot]com Time: Sunday, September 18, 12:30 PM Location: Cross Campus (Yale University), New Haven, CT 06511. We'll be on the grass on the northern half of Cross Campus, closest to Sterling Memorial Library. I'll be wearing an orange shirt. Coordinates: 87H9836C+8VG Event link(s): LessWrong Notes: Feel free to bring friends! The vibe will be welcoming and relaxed, and you can stay for any amount of time. Please email me if you're thinking about coming so I can get the right number of Insomnia cookies! WASHINGTON, DC Contact: John Bennett, WashingtonDCAstralCodexTen[at]gmail[dot]com Time: Saturday, September 17, 6:00 PM Location: Froggy Bottom Pub: 2021 K Street NW, Washington, D.C. 20006 Coordinates: 87C4WX33+3J Event link(s): LessWrong, Facebook event Group info: The Washington DC ACX/SSC group has been active since the first Meetups Everywhere in 2017. We have Monthly Socials downtown, hikes, board game days, and other cultural events. We're looking to spin up more rationality Dojo-type events with nearby groups in the coming months. Notes: We've rented out the Froggy Bottom Pub for the night, dinner and soft drinks will be provided. Alcohol available for purchase if desired, but no purchases are required. Metered street parking on nearby blocks is free after 6:30. Closest Metros are Farragut West and Farragut North. CAPE CORAL / FORT MYERS, FL Contact: Shawn Spilman, shawn[dot]spilman[at]outlook[dot]com, 508 655 8123 Time: Sunday, October 2, 1:00 PM Location: 929 SW 54th Ln, Cape Coral, FL 33914 Coordinates: 76RWH224+44 Event link(s): LessWrong Notes: RSVP via email. I can be flexible about the date. GULF BREEZE / PENSACOLA, FL Contact: Christian, christian[dot]h[dot]williams[at]gmail[dot]com Time: Wednesday, October 12, 7:30 PM Location: The Bridge Bar - 33 Gulf Breeze Pkwy A, Gulf Breeze, FL 32561 Coordinates: 862J9RCF+G6 Event link(s): LessWrong Notes: Please RSVP by emailing me. Thanks! If I don't hear from anyone, I won't be there. I work for Metaculus, but promise not to talk your ear off about forecasting. (Unless you want it talked off.) MIAMI, FL Contact: Eric Magro, eric135033[at]gmail[dot]com, Discord: eric135#4943 Time: Sunday, September 11, 5:00 PM Location: Buckminster Fuller Fly's Eye Dome 140 NE 39th St #001, Miami, FL 33137 ----- Look for a paper sign on a table that says ACX MEETUP west of the dome. Coordinates: 76QXRR65+V2 Event link(s): LessWrong Group info: Miami ACX started in 2017. Our official meetup happens monthly in either Miami or Broward. There are activities happening on a weekly basis from Miami to Palm Beach. We have a Facebook group, Discord server, and Meetup.com group. ORLANDO, FL Contact: Noah Topper, noah[dot]topper[at]gmail[dot]com Time: Friday, September 16, 7:00 PM Location: 4000 Central Florida Blvd, Orlando, FL. We'll be meeting up at UCF's pavilion near Garages A and I. I'll have a pretty ACX Meetup sign. Coordinates: 76WWJQ2X+82 Event link(s): LessWrong Group info: We try to meet up once a month, so far they've just been casual social meetups with natural discussions of rationality topics. Here's our Discord link :) Notes: RSVPs on LessWrong would be greatly appreciated. :) TALLAHASSEE, FL Contact: JF, jf19o[at]fsu[dot]edu Time: Monday, August 29, 2:00 PM Location: Landis, FSU. I will be wearing a black shirt Coordinates: 862QCPR3+PX Event link(s): LessWrong ATHENS, GA Contact: Dallon, knox[dot]dallon[dot]a[at]gmail[dot]com, Discord: leonard#4208 Time: Saturday, October 15, 3:00 PM Location: Hendershots on Prince Avenue Coordinates: 865RXJ68+2W Event link(s): LessWrong Notes: I might bring some board games ATLANTA, GA Contact: Steve French, steve[at]digitaltoolfactory[dot]net Time: Saturday, September 17, 2:00 PM Location: Bold Monk Brewing - 1737 Ellsworth Industrial Blvd NW suite d-1 · Atlanta, GA (upstairs – look for the ACX Atlanta sign) Coordinates: 865QRH2F+V8 Event link(s): LessWrong, Meetup.com Group info: We've been in existence for four years – we have a dedicated crew and a very active Slack group Notes: Please RSVP on LessWrong or Meetup.com HONOLULU, HI Contact: Matt Popovich, mattpopovich[at]outlook[dot]com Time: Saturday, September 3, 4:00 PM Location: We'll meet at Magic Island at Ala Moana Beach Park, 1201 Ala Moana Blvd, Honolulu, HI 96814. From the parking lot, walk along the left side of the peninsula out toward Magic Island Lagoon. We're usually near the end of the peninsula, somewhere around the bathroom building. Look for the large 'ACX' sign. Coordinates: 73H475M3+JP Event link(s): LessWrong, Meetup.com Group info: Honolulu Rationality hosts discussion meetups about twice a month in Ala Moana Beach Park. Check us out on our website BOISE, ID Contact: Julia and John, jae[dot]miomu[at]gmail[dot]com Time: Friday, October 7, 6:00 PM Location: Old Timer's Shelter in Ann Morrison Park. I will have an ACX sign. Coordinates: 85M5JQ6P+96 Event link(s): LessWrong Notes: Please RSVP and feel free to bring kids. CHAMPAIGN-URBANA, IL Contact: Ben, cu[dot]acx[dot]meetups[at]gmail[dot]com Time: Friday, September 9, 7:00 PM Location: Siebel Center for Computer Science, Room 4403 Coordinates: 86GH4Q7G+H8F Event link(s): LessWrong Group info: Discord server Notes: RSVPs are appreciated but not at all required. You can RSVP by email or by pinging me in the Discord server. Suggested entrance is the East side of the building (see Coordinates) - we'll try to make sure at least that door is unlocked, but if it isn't then ping us on email or Discord. CHICAGO, IL Contact: Todd, info[at]chicagorationality[dot]com, https://chicagorationality.com/ Time: Sunday, September 18, 1:00 PM Location: Grant Park - North side of Balbo between the tracks and Columbus Coordinates: 86HJV9FH+84 Event link(s): LessWrong Group info: Chicago Rationality does a monthly discussion meetup (typically the first Saturday of the month) and a monthly social meetup (typically the third weekend of the month) Notes: Sign up for our email list to be notified of future meetups EVANSTON, IL Contact: Uzair, uzairq93[at]gmail[dot]com Time: Saturday, October 1, 7:00 PM Location: 626 Church Street, Evanston IL 60201 Coordinates: 86JJ28X9+5WQ Event link(s): LessWrong Notes: The venue is a pub but it's really more of a restaurant, big long tables available so space should be fine and non drinkers shouldn't feel too out of place. BLOOMINGTON, IN Contact: Avery, acxbloomington[at]fastmail[dot]com Time: Sunday, October 16, 2:00 PM Location: Switchyard Park. Will be at one of the tables near the Rogers Street parking lot. I will bring a cardboard sign that says “ACX”. Coordinates: 86FM4FX6+4Q Event link(s): LessWrong Group info: We met last year for Meetups Everywhere and it was fun! Here's a link to our Discord. Notes: You can RSVP via Discord or email, but you are encouraged to show up even if you did not RSVP! WEST LAFAYETTE, IN Contact: NR, mapreader4[at]gmail[dot]com Time: Saturday, September 17, 1:00 PM Location: 1275 1st Street, West Lafayette, IN 47906. We'll be in the south of the Earhart Hall lobby (not the dining court) near the piano, and I will be wearing a green shirt and carrying a sign with ACX MEETUP on it. Coordinates: 86GMC3GG+728 Event link(s): LessWrong LEXINGTON, KY Contact: Nathan, nwculley[at]gmail[dot]com Time: Saturday, September 3, 7:00 PM Location: Blue Stallion Brewing. 610 W. 3rd St., Lexington, KY 40508. We will have a sign indicating we are the ACX meetup. Coordinates: 86CQ3F4X+VF Event link(s): LessWrong Group info: We meet 1-2 times a month to talk about ACX, books, memes, etc., often over drinks and board games. NEW ORLEANS, LA Contact: Blake, blake[at]philosophers[dot]group Time: Sunday, September 4, 11:11 AM Location: Petite Clouet Cafe. Look for the group with an iPad that has a People’s Pint sticker. Coordinates: 76XFXX73+8R Event link(s): LessWrong Group info: Website Notes: Hybrid in-person and online, video link sent weekly. Email for the link. BOSTON, MA Contact: Robi Rahman, robirahman94[at]gmail[dot]com, 7039818526 Time: Saturday, September 10, 5:00 PM Location: Boston Common, at the Parkman Bandstand gazebo Coordinates: 87JC9W3M+PR Event link(s): LessWrong, Facebook event Group info: Mailing list, Facebook group, Meetup.com Notes: We'll be providing food at the meetup, and giving out free books related to ACX, rationality, and effective altruism. Email the hosts if you'd like a particular book or you have any dietary restrictions. Our group is also doing a tour of the JFK Presidential Library on September 9, you’re welcome to join! NORTHAMPTON, MA Contact: Alex, alex[at]alexliebowitz[dot]com Time: Friday, September 9, 6:00 PM Location: The Deck, 125A Pleasant St., Northampton MA 01096. The official address is bizarre and inaccurate; it's the outdoor dining part of a group of bars & restaurants in a former rail station... a whole block away from Pleasant St. The simplest way to get to The Deck is to enter The Platform, one of the other restaurants, by its street entrance around 36 Strong Ave., here (make sure to look at street view). Go inside and ask them to show you to The Deck. We'll have a sign. Coordinates: 87J9899F+H7H Event link(s): LessWrong, Facebook event Group info: We started in the 2018 Meetups Everywhere and is still going strong. We aim to meet about once every two weeks. At most meetups we get about 5-7 people out of a rotation of 15-20; Meetups Everywhere and other special events tend to bring in a few more than usual. We're a totally social meetup with no 'format' or suggested readings. Although it's not rare for us to touch on ACX articles and related topics, the conversation varies wildly, and you are welcome even if you're the most occasional ACX reader. Notes: We have a (not very active) Discord where you can DM me or post on a public channel. I'm most responsive by email. There is a small chance we'll have to change the location to somewhere else in Northampton. Please check the Less Wrong or Facebook posts on or after August 26 to get the final word on location. BALTIMORE, MD Contact: Rivka, rivka[at]adrusi[dot]com Time: Sunday, September 11, 7:00 PM Location: UMBC outside of the Performing Arts and Humanities Building, on the north side. I will have a sign that says ACX meetup. Parking is free on the weekends. Edit: Rain is forecasted; if it’s raining, we will be inside of the Performing Arts building, on the ground floor just inside the entrance. Coordinates: 87F5774P+53 Event link(s): LessWrong Group info: We meet Sundays at 7pm — half are in person and half are virtual. Notes: There will be pizza and drinks DETROIT, MI Contact: Matt Arnold, matt[dot]mattarn[at]gmail[dot]com Time: Tuesday, September 20, 7:00 PM Location: Tenacity Craft, 8517 2nd Ave, Detroit, MI 48202 Coordinates: 86JR9WG9+R6 Event link(s): LessWrong MINNEAPOLIS, MN Contact: Timothy, tmbond[at]gmail[dot]com Time: Saturday, September 10, 1:00 PM Location: Meet at the picnic tables near the southeast corner of Powderhorn Park - the ones by the parking lot. I will be wearing a green Google t-shirt and have a sign that says ACX. Coordinates: 86P8WPRW+76 Event link(s): LessWrong Notes: I will bring some snacks (but not a full lunch, so eat before or bring something if you'll be that hungry). Please RSVP on LessWrong. KANSAS CITY, MO Contact: Alex, alex[dot]hedtke[at]gmail[dot]com Time: Friday, September 16, 6:30 PM Location: We will be in the courtyard above Whole Foods (which is also an apartment complex). You can enter through the apartment lobby, located on Oak Street. We will have runners shepherding people from the entrance up to the courtyard. Coordinates: 86F72CM8+RR Event link(s): LessWrong, Meetup.com SAINT LOUIS, MO Contact: JohnBuridan, littlejohnburidan[at]gmail[dot]com Time: Saturday, October 8, 1:00 PM Location: Lily Pond Shelter, Tower Grove Park, St. Louis Coordinates: 86CFJP4R+XV Event link(s): LessWrong Notes: BYOB WEST PLAINS, MO Contact: Liam, liamhession[at]gmail[dot]com Time: Saturday, September 17, 12:00 PM Location: 10/40 Coffee, 24 Court Square, West Plains, MO Coordinates: 868CP4HW+CV Event link(s): LessWrong Notes: Hoping to get anyone from around the Ozark region DURHAM, NC Contact: Will Jarvis, willdjarvis[at]gmail[dot]com Time: Thursday, September 8, 7:30 PM Location: Ponysaurus Brewing Company, 219 Hood St, Durham Coordinates: 8773X4Q3+QW Event link(s): LessWrong Group info: We meet weekly! We also have a Discord LAKEWOOD, NJ Contact: Ben L, mywebdev3[at]gmail[dot]com Time: Saturday, October 29, 8:30 PM Location: TBD Event link(s): LessWrong MORRISTOWN, NJ Contact: Matt, matt[dot]brooks[at]impactmarkets[dot]io, Discord: Matt B#0216 Time: Saturday, October 1, 2:00 PM Location: 10 N Park Pl, Morristown, NJ 07960 (at the center of the Morristown Green) Coordinates: 87G7QGW9+RJ Event link(s): LessWrong Group info: This is the first meetup, come be a founding member of the Northern NJ ACX/EA/LW group! PRINCETON, NJ Contact: Danny K, dskumpf[at]gmail[dot]com Time: Saturday, October 1, 3:00 PM Location: Palmer Square, Princeton, NJ 08540. On the green right outside The Bent Spoon and Rojo's Roastary, near the big tree. I'll have some sort of ACX Meetup sign! Coordinates: 87G7982Q+2CP Event link(s): LessWrong LAS VEGAS, NV Contact: Jonathan Ray, ray[dot]jonathan[dot]w[at]gmail[dot]com Time: Sunday, September 11, 11:45 AM Location: At El Segundo Sol restaurant with giant ACX MEETUP signs Coordinates: 85864RHJ+3H Event link(s): LessWrong, Facebook event Group info: We meet regularly and mostly just socialize. We have a new Discord server. RENO, NV Contact: Steven, stevenl451[at]gmail[dot]com, Discord: Steeven#7407 Time: Friday, September 2, 5:30 PM Location: We'll be in Crissie Caughlin Park, near the tables and the swing set Coordinates: 85F2G46W+FG Event link(s): LessWrong Notes: Feel free to bring kids/dogs and please RSVP on LessWrong if you are going BUFFALO, NY Contact: George Herold, ggherold[at]gmail[dot]com Time: Sunday, September 11, 1:00 PM Location: 932 Welch Rd. Java Center, NY 14082 Coordinates: 87J3W467+8P Notes: Last-minute location change! LONG ISLAND, NY Contact: Gabe, gabeaweil[at]gmail[dot]com Time: Thursday, October 27, 7:00 PM Location: Whales Tale in Northport Coordinates: 87G8VJRW+99 Event link(s): LessWrong NEW YORK CITY, NY Contact: Jasmine, jasminermj[at]gmail[dot]com Time: Sunday, September 11, 4:00 PM Location: Pavillion @ Rockefeller Park, Warren St / River Terrace Coordinates: 87G7PX9M+4J3 Event link(s): LessWrong Group info: OBNYC has a Discord and a Google Group; the Google Group is the main mailing list we use for events NEWBURGH, NY Contact: Pedro David Bonilla, proportionatetoevidence[at]gmail[dot]com, Cell 8452001681 Time: Saturday, September 24, 10:00 AM Location: Perkins Restaurant & Bakery, 1421 NY-300, Newburgh, NY 12550 Coordinates: 87H7GWCH+GF Event link(s): LessWrong ROCHESTER, NY Contact: Skivverus, skivverus[at]gmail[dot]com, Discord: Skivverus#5915 Time: Saturday, October 8, 1:00 PM Location: 4870 Culver Road; will be wearing a polo shirt, jeans, and glasses, and may or may not have figured out a sign due to just getting back from honeymoon. Look for a pair of parrots, one white, one green with a yellow/orange head. Coordinates: 87M46FM6+Q5P Event link(s): LessWrong Notes: Venue very near amusement park; non-bathroom, non-parking amenities are therefore available but not free. Plan accordingly. Not particularly attached to specific location named, just happen to live reasonably close to there; alternative suggestions acceptable. Canadian visitors also welcome should your logistics permit; airport transportation available. RSVP via Discord preferred, but email will also work. CLEVELAND, OH Contact: Jack Zhang, LukeZhao9[at]protonmail[dot]com Time: Saturday, September 24, 1:00 PM Location: Picnic tables at Wade Oval (university circle) Coordinates: 86HWG96Q+GC5 Event link(s): LessWrong COLUMBUS, OH Contact: Daniel, daniel[dot]m[dot]adamiak[at]gmail[dot]com Time: Saturday, September 17, 3:00 PM Location: Jeffrey Park - Clinton Shelter. I will be wearing a red shirt. Coordinates: 86FVX3C3+QF Event link(s): LessWrong Group info: We meet once a month. We discuss EA, AI and other two letter initialisms. Occasionally we go for walks in local grottos and nature trails. Notes: Email me if you want to be added to the mailing list to receive any updates or future invites. RSVPing is appreciated. TOLEDO, OH Contact: Scout, scout[dot]sivar[at]gmail[dot]com Time: Saturday, September 10, 12:00 PM Location: Black Kite Coffee Coordinates: 86HRMCCV+9R Event link(s): LessWrong OKLAHOMA CITY, OK Contact: bean, battleshipbean[at]gmail[dot]com Time: Sunday, October 9, 1:00 PM Location: Edmond Public Library/Shannon Miller Park. I will be wearing a hat that says USS Iowa on it. Coordinates: 8674MG3C+MW Event link(s): LessWrong Group info: Had four people last year and a good time, moved to Edmond because a lot of us are up here. ALBANY, OR Contact: Kenan (he/him), kbitikofer[at]gmail[dot]com Time: Saturday, October 1, 2:00 PM Location: Bowman Park, Albany, Oregon. In or near the shelter. I will wear a bright red shirt and carry a sign with ACX MEETUP on it. Coordinates: 84PRJWR7+XC6 Event link(s): LessWrong CORVALLIS, OR Contact: Ethan Ashkie, ethanashkie[at]gmail[dot]com Time: Wednesday, September 7, 6:00 PM Location: Common Fields, in the reserved outdoor seating near the entrance Coordinates: 84PRHP5P+VQ Event link(s): LessWrong EUGENE, OR Contact: Ben Smith, benjsmith[at]gmail[dot]com Time: Wednesday, August 31, 7:00 PM Location: The Barn Light, 924 Willamette St, Eugene 97401 Coordinates: 84PR2WX4+VV Event link(s): LessWrong Notes: Please RSVP on LessWrong so I know how much pizza to get, but if you forget, don't worry about it, we want you to come along anyway PORTLAND, OR Contact: Sam F Celarek, support[at]pearcommunity[dot]com, 513-432-3310, Discord: Sam Celarek#2845 Time: Friday, September 9, 5:00 PM Location: 205 NW 4th Ave Coordinates: 84QVG8FG+V4 Event link(s): LessWrong, Meetup.com Group info: Portland Effective Altruism and Rationality is very active. We have book clubs, bi-weekly AI safety meet-ups, bi-weekly topical meet-ups, bi-weekly socials, and have an active Discord. Notes: We would prefer you RSVP on Meetup.com a week beforehand so that we can get the right amount of food! HARRISBURG, PA Contact: Phil, acxharrisburg[at]gmail[dot]com Time: Saturday, September 24, 2:00 PM Location: Ever Grain Brewing Co, 4444 Carlisle Pike, Camp Hill, PA 17011 - We will be sitting at one of the picnic tables outside with an ACX MEETUP sign Coordinates: 87G562QQ+8P Event link(s): LessWrong Group info: Small monthly meetup group based out of Harrisburg - celebrating 1 year of actuality! You can see more of our events on LessWrong. INDIANA, PA Contact: Eric, ericindianapa[at]gmail[dot]com, 717-256-2717 Time: Saturday, September 24, 11:00 AM Location: Caffè Amadeus in downtown Indiana, PA. I will have a sign with 'ACX Meetup' on one of the tables. Coordinates: 87G2JRFX+48 Event link(s): LessWrong Notes: Please RSVP via email or text message so I know how many to expect. PHILADELPHIA, PA Contact: Wes and Diana, rationalphilly[at]gmail[dot]com Time: Thursday, September 22, 6:30 PM Location: The Philadelphia Ethical Society, 1906 Rittenhouse Square. The meeting room is in the basement, look for the signs. Coordinates: 87F6WRXG+FQ Event link(s): LessWrong Group info: We tend to meet in downtown Philly on the last Thursday of the month. We're aiming to make the Ethical Society our new steady location. We have many links: Discord, Google Calendar, Facebook, Meetup, Google Group Notes: We'll be ordering food from a local restaurant, so no need to eat first. BYOB PITTSBURGH, PA Contact: Justin, pghacx[at]gmail[dot]com Time: Saturday, September 24, 2:00 PM Location: Westinghouse Shelter @ Schenley Park (W Circuit Rd near Schenley Dr). We have the outdoor shelter reserved, so light rain shouldn't be a problem, but in the event of extreme weather, we may relocate indoors (our default 'contingency indoor location' is Crazy Mocha Coffee on 2100 Murray Ave in Squirrel Hill). Coordinates: 87G2C3Q4+773 Event link(s): LessWrong Group info: We meet monthly-ish for general discussion and chit-chat, email me if you'd like to be notified of future meetups. STATE COLLEGE, PA Contact: John Slow, auk480[at]psu[dot]edu Time: Thursday, September 8, 5:00 PM Location: Old Main. I will be carrying an ACX meetup sign. Coordinates: 87G4Q4WP+HV Event link(s): LessWrong SAN JUAN, PUERTO RICO Contact: Dan Gelfarb, danielgelfarb[at]gmail[dot]com Time: Saturday, September 10, 1:00 PM Location: Lote 23, back corner under the tents. I will be wearing a blue shirt with a sign that says ACX meetup on it. Coordinates: 77CMCWVM+W32 Event link(s): LessWrong PROVIDENCE, RI Contact: James Bailey, feanor1600[at]gmail[dot]com Time: Saturday, September 17, 4:00 PM Location: Prospect Terrace park, to the right of the Roger Williams statue Coordinates: 87HCRHJV+24 Event link(s): LessWrong SIOUX FALLS, SD Contact: S. C., villainsplus[at]protonmail[dot]com Time: Sunday, October 2, 5:00 PM Location: 410 E 26th St, Sioux Falls, SD 57105 - the pavillion on the west side of McKennan Park, or the tables just south of it if I can't book it. I'll be the guy with the grill. Coordinates: 86M5G7JH+W57 Event link(s): LessWrong MEMPHIS, TN Contact: Michael, michael[at]postlibertarian[dot]com Time: Monday, September 5, 1:00 PM Location: French Truck Coffee at Crosstown Concourse, Central Atrium 1350 Concourse Ave, Memphis, TN 38104. We will be at one of the many tables near French Truck Coffee and I will have a sign that says ACX MEETUP. Coordinates: 867F5X2P+QHC Event link(s): LessWrong Group info: We meet about every month or so. We've been around since 2019 but only regularly since mid 2021 due to the pandemic. We have a Discord server. NASHVILLE, TN Contact: Ellen, enwiegand[at]gmail[dot]com Time: Saturday, October 1, 11:00 AM Location: OneCity Nashville (8 City Blvd, Nashville, TN 37209), next to the volleyball courts. I'll have a pink ballcap that says SPINSTER on it. Coordinates: 868M552H+XW Event link(s): LessWrong AUSTIN, TX Contact: Silas Barta, sbarta[at]gmail[dot]com Time: Saturday, October 8, 12:00 PM Location: 4001 N Lamar, Austin Texas, park by Central Market near stone tables and tents Coordinates: 86248746+8C Event link(s): LessWrong Group info: Austin LessWrong has a weekly focused discussion, a weekly social mixer, a weekly online book club, and a monthly movie night. Been around since 2011. Notes: Location may change as we are talking to other venues BRYAN/COLLEGE STATION, TX Contact: Kenny, easwaran[at]gmail[dot]com Time: Friday, September 9, 5:00 PM Location: Back patio of Torchy's Tacos at Texas and New Main. I'll have a yellow umbrella and pinkish/purple hair Coordinates: JMFC+4J Event link(s): LessWrong DALLAS, TX Contact: Ethan Morse, ethan[dot]morse97[at]gmail[dot]com, Discord: ethanmorse#5255 Time: Sunday, September 11, 12:00 PM Location: Union, 3705 Cedar Springs Rd, Dallas, TX 75219. We'll be in the upstairs conference room. Coordinates: 8645R55R+9M9 Event link(s): LessWrong Notes: Please RSVP on LessWrong so I know how much food to get HOUSTON, TX Contact: Eric Magro, eric135033[at]gmail[dot]com Time: Sunday, September 18, 4:00 PM Location: Empire Cafe, 1732 Westheimer Rd, Houston, TX 77098 ---- Look for a table with an ACX MEETUP sign. Coordinates: 76X6PHVW+5H Event link(s): LessWrong Group info: There are meetups every week. We have a Discord and a Facebook group. WACO, TX Contact: Mike, BaylorACX[at]gmail[dot]com Time: Saturday, October 1, 1:00 PM Location: Cameron Park, picnic tables next to Jacob's Ladder Coordinates: 8634HVG2+V9 Event link(s): LessWrong Notes: Please email me if you're thinking about attending! Would love to start an ACX community here :) SALT LAKE CITY, UT Contact: Ross Richey (aka Jeremiah), wearenotsaved[at]gmail[dot]com Time: Saturday, October 8, 3:00 PM Location: Liberty Park near the ChargePoint stations Coordinates: 85GCP4WF+VJ Event link(s): LessWrong Group info: We meet every other month, we do book clubs and movie nights as well. Notes: Will be outdoors. If the weather looks bad, email event organizer to check on location. CHARLOTTESVILLE, VA Contact: RL, effectivealtruismatuva[at]gmail[dot]com Time: Sunday, September 4, 5:00 PM Location: 12 Rotunda Drive Charlottesville, VA 22903 - We’ll meet at the picnic tables across the street from The Virginian. There will be an ACX sign. Coordinates: 87C32FPX+3H4 Event link(s): LessWrong LYNCHBURG, VA Contact: Craig, craigbdaniel[at]gmail[dot]com Time: Saturday, September 17, 4:00 PM Location: Three Roads Brewing - I will be wearing a purple t-shirt and will place an ""ACX"" card on the table Coordinates: 8792CV65+5G NORFOLK, VA Contact: Willa, walambert[at]pm[dot]me Time: Sunday, September 18, 4:00 PM Location: Pagoda & Oriental Garden, 265 W Tazewell St, Norfolk, VA 23510. I will be wearing a bright green shirt, will have a large green & yellow hat on, and will have a sign with ACX Meetup on it. Coordinates: 8785RPX4+W3 Event link(s): LessWrong, Facebook event Group info: Hi! Virginia Rationalists was co-founded in Norfolk VA earlier this year by Willa & Yitzi with the goal of growing a thriving ACX / LW / EA community in our city & the state of Virginia. We meet every week at Fair Grounds cafe on Wednesday evenings from 5-7:30pm Eastern Time. We have a Discord server and a Twitter. RESTON, VA Contact: James, jrbalch333[at]gmail[dot]com Time: Saturday, September 24, 1:30 PM Location: The matchbox at 1900 Reston Station Blvd, Reston, VA 20190 on the 1st floor of the giant Google building. I'll be holding a copy of Sapiens. Coordinates: 87C4WMX6+9X Event link(s): LessWrong Notes: Email me to be added to the WhatsApp group RICHMOND, VA Contact: Cedar, cedar[dot]ren+acxmeetup[at]gmail[dot]com, @Cedar at this Discord server Time: Saturday, October 1, 2:30 PM Location: Richmond Public Libraries, West End Branch 5420 Patterson Ave, Richmond, VA 23226 Coordinates: 8794HFHQ+3G Event link(s): LessWrong Notes: Please RSVP on LessWrong & optionally reach out to me on Discord to introduce yourself! BURLINGTON, VT Contact: Forrest, lucidobservor[at]gmail[dot]com Time: Saturday, September 10, 2:00 PM Location: Battery Park, at the benches in the south-western corner of the park, near the cannons facing the lake. I will have an 'ACX Meetup' sign. Coordinates: 87P8FQJH+8P Event link(s): LessWrong BELLINGHAM, WA Contact: Alex, bellinghamrationalish[at]gmail[dot]com Time: Thursday, September 29, 5:30 PM Location: Lake Padden Park, at one of the tables near the lake by the dog park. If it's rainy, we'll meet in one of the two covered gazebo areas just north (right, if you're facing the lake) of the planned spot. If the forecast looks really bad (e.g. very cold), I'll post an indoor location to the Meetup.com page at least three days in advance. Coordinates: 84WVMHX3+GM Event link(s): LessWrong, Meetup.com Group info: Bellingham Rationalish discusses (in good faith!) topics in and around rationality. We usually meet the evening of the last Wednesday of each month. Our first meeting was a 2021 ACX Everywhere meetup. Notes: Please RSVP on Meetup so I have an idea how many people to expect. Kids, animals, food, beverages, etc. are all welcome. SEATTLE, WA Contact: Nikita Sokolsky, sokolx[at]gmail[dot]com Time: Sunday, October 9, 5:00 PM Location: Optimism Brewing (1158 Broadway, Seattle) Coordinates: 84VVJM7H+4Q Event link(s): LessWrong, Facebook event, Meetup.com Notes: Please RSVP on LessWrong (or FB/Meetup) for planning purposes MADISON, WI Contact: Mary Wang, mmwang[at]wisc[dot]edu Time: Saturday, September 10, 1:00 PM Location: 1022 High St. Blue house with red porches. If weather permits, we'll be in my large backyard, which has more seating now than last year. If rain, come in the side door. There will be air purifiers and open windows. Masks optional. Look for a sign at the end of the driveway that says ACX/SSC Meetup. Coordinates: 86MG3H3X+XW Event link(s): LessWrong, Facebook event Group info: We have met fortnightly in the past, but quit last year when it got too cold to meet outside. We typically have shared a meal, sat around my kitchen table and talked. Have held a Solstice celebration.
April 10, 2023 · Original source
CHICAGO, ILLINOIS, USA Contact: Todd Contact Info: info[at]chicagorationality[dot]com Time: Saturday, May 06th, 02:00 PM Location: South Loop Strength & Conditioning – upstairs in the mezzanine. Coordinates: https://plus.codes/86HJV9F9+CV Event Link: https://chicagorationality.com Notes: We will be hosting lightning talks from Chicago Rationality meetup attendees for the May meetup. Join our Discord for more info: https://discord.gg/eDHq3TXrH3
August 29, 2024 · Original source
Contact: Todd Contact Info: info[at]chicagorationality[dot]com Time: Saturday, September 07th, 02:00 PM Location: Ping Tom Park Coordinates: https://plus.codes/86HJV947+GX Group Link: https://chicagorationality.com
April 01, 2026 · Original source
Contact: Todd Contact Info: info[@]chicagorationality[.]com Time: Saturday, May 2nd, 5:30 PM Location: We will be hanging out and socializing at South Loop Strength & Conditioning (yes, a gym owned by one of our co-organizers). Coordinates: https://plus.codes/86HJV9F9+CV Group Link: https://chicagorationality.com
Coalition To Modify NOTA

Coalition To Modify NOTA is a recurring organization in the Astral Codex Ten archive, appearing 5 times across 5 issues between October 27, 2023 and October 13, 2025. The archive places it in contexts such as "Ned Brooks is starting a new push - the Coalition To Modify NOTA"; "Coalition To Modify NOTA is full of previous living kidney donors"; "my latest interest is Coalition to Modify NOTA, see here". It most often appears alongside ACX Grants, 1DaySooner, Africa.

Mention count
5
Issue count
5
First seen
October 27, 2023
Last seen
October 13, 2025
October 27, 2023 · Original source
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).
November 03, 2023 · Original source
I’m inspired by this. Also, I’m a medium-level celebrity. So far I’m having trouble finding good leverage points (my latest interest is Coalition to Modify NOTA, see here), but I bet people who actually know this space could find better ones.
Sometimes you have a good idea for political change (again, I’ll bring up the Coalition to Modify NOTA). Probably some people disagree with it, but not too many people, and it’s not some issue like abortion where everyone thinks about it all the time and is at total loggerheads. It’s just some good idea that there should be a law about, but there isn’t. What’s the strategy for turning it into law?
February 10, 2024 · Original source
Elaine Perlman, $50,000, to lobby for changes in the laws around kidney donation. I discussed this further in part VIII here: there’s a severe shortage of organs, and the easiest way to solve it is to let the government give people tax breaks for organ donation. Elaine works with the Coalition To Modify NOTA, a group of doctors, donors, recipients, and others who are fighting to turn this into law via the End Kidney Deaths Act.
June 18, 2025 · Original source
Minnesota and Virginia also have legislation to enable cities to implement land value taxes. We are monitoring these efforts. There are a few other cities we are operating in. We have helped another organization prepare for a meeting in Tennessee by doing impact analysis of land value taxes in the city. We have presented to city officials in the City of South Bend who have expressed support for land value taxes. Finally, we are in conversation with a State Senator in Colorado who is a champion of land value taxes. Meanwhile, we have soft launched and developed the OpenAVMKit, which uses a unified schema to do assessment accuracy reports and automated valuation methods for any property tax data given. Valuation of land is the key binding constraint to successful implementation of land value taxes. We plan to be the leaders in this space with strong benchmarking capabilities and a repo that can enable the open-source community to make the best automated valuation methods. Along with these efforts, we have expanded the movement. We have posted to the Progress and Poverty Substack growing the subscriber base to around 5,000 subscribers. We have spoken to over 25 local advocates interested in working on land value taxes in their local communities. Yet, there is a long way to go. We need to start earning income through technical assistance contracts as our grant funding expires. We need to continue pushing for a state to implement, and we need to be prepared to tell the success story for when they do. 65: EN’s Work On Bacteriophage Therapy Our project is aimed at pioneering phage therapy in Nigeria, where limited resources/infrastructure have historically held back research in this field. Starting from the ground up, we are establishing the foundational systems needed to support a robust phage research ecosystem. So far, we’ve isolated 34 bacteriophages targeting Pseudomonas aeruginosa, an essential step toward building a comprehensive phage bank. This began with collecting a wide range of clinical Pseudomonas isolates, which we are now characterizing alongside the phages through genome sequencing and phenotypic assays including studies on phage stability across pH, temperature, and salinity ranges. Our long-term goal is to develop a phage-based hydrogel for treating diabetic wounds. On the regulatory front, we have secured approval from the Attorney General to register our nonprofit organization, the Centre for Phage Biology and Therapeutics. Additionally, we’re expanding into vaccine development; following a research stay in Prof. Roderick's lab at the University of Waterloo, we have initiated the design of a phage-based universal Salmonella vaccine aimed at covering all major serotypes—an urgent need underscored by Africa’s reliance on external vaccine sources during the COVID-19 pandemic. I have signed an MTA agreement with Roderick to use his phage-based vaccine platform patents to enable us to design vaccines against any common disease affecting us. This is only the beginning, but we are proud to be laying the scientific and institutional groundwork for homegrown phage innovation in Africa. Emergent Ventures funded EN before we did and deserves a lot of credit here also. 66: Create An Artificial Kidney For an implantable artificial kidney, the first essential component is a hemofilter designed to emulate the glomerulus. Critical requirements for this hemofilter include high permeability (to maximize flow for a given area), selectivity (specifically, the retention of albumin), and robust blood compatibility (ensuring sustained function over time). Our initial strategy focused on using negative surface charge to reduce fouling. I began by testing polyelectrolyte (PE) coatings on 24nm pore membranes featuring a negative terminal charge, similar to the glomerular barrier. These initial static tests, assessing platelet adsorption in whole blood, yielded positive outcomes for some polyelectrolytes, indicating potentially desirable blood compatibility. However, static test setups are not truly representative of dynamic in-vitro conditions and don't provide data on key parameters like permeability, fouling progression, or changes in membrane selectivity. To address these limitations, I designed and built a blood filtration setup. This system sustains human whole blood in circulation for 20 minutes, allowing us to analyze all the aforementioned parameters, as well as platelet activation markers. This has resulted in a fairly high-throughput system for evaluating any surface coating. I'm pleased to report this setup has been accepted for presentation at this year's European Society for Artificial Organs (ESAIO) conference. I am also currently working on a full manuscript, as I believe this system offers a viable way to partially replace animal experiments in our early-stage research, requiring only 1.2ml of human blood per run. Working with a PhD student (hired to support both this research and work on membrane substrates), we have continued testing these PE coatings, alongside PEG coatings, on our membranes. Here, we're finding that optimization of the coating layer is crucial. With the current PE coatings, we observe a permeability drop of about an order of magnitude compared to the base membrane, making them unsuitable for an implantable device in their present form. This is likely due to the specific nature of the initial PE layer, which we can modify. We also suspect there may be ingress of PE into the pores, meaning we're not achieving just a surface coating (our goal), but rather a very thick coating, which would explain the flux loss. Optimizing the coating process to control penetration depth is now a primary focus of my ongoing work. I am currently aiming for a flux of 20ul/min (as this is cap introduced by the protein gel layer anyway) but for it to be at this 'steady state' permeability without drop in permeability. I am also imaging the membranes after contact with SEM to see if there is indeed any platelet adsorption etc. Tugrul has the dubious honor of maybe being "the only person to climb a 4000m peak with severe kidney failure". To raise money and awareness for his artificial kidney project, he is running Climb Against Time, where he will climb 41 mountains over 4000m (13000 ft) this summer. He is looking for donors and climbing partners. 67: Add Tardigrade Genes To Human Cells The goal of this one was to make hybrid cells that are more resilient for research and certain medical applications. They report: The grant was to synthesize vectors for the expression of humanized tardigrade proteins that can be targeted to different areas of the cell. All the vectors were designed, generated, and transposed into human cells. The proteins all localize successfully (e.g. they match the designed target), with one exception (we are still working on validating it). We've done some stress testing with the trangenic cells, but haven't reached firm conclusions yet. We've further generated some multigene designs but have not yet transposed them into cells, but should shortly. We're hoping to submit a manuscript on the first round later this year. 68: Teach Forecasting To EU Policy-Makers The original project didn't work out, but our grantee (who still prefers to remain anonymous) is now working with an EU think tank pursuing the same agenda, and has been teaching forecasting workshops to policy-makers for the past two months. 69: Platform For Single-Cell Imaging They ended up unable to accept this grant and returned the money. 70: Open Source Polygenic Predictor For EA/IQ They have an update here. They think they have a predictor that can explain 12% of variance in intelligence, and they’re working on validating it and creating an easy-to-use website. 71: Improve Flu Vaccines The grant mainly funded agent based modelling to demonstrate the benefit of pre-existing immunity to pandemic influenza if and when a future pandemic occurs (academic publication will result). The original proposal was to attempt to influence the WHO influenza strain selection process. After attending WHO meetings and a global influenza conference, I believe this is not feasible. Stakeholder feedback was the potential short term negative effect on vaccine hesitancy is believed to outweigh the less tangible future benefit. Given the conservative nature of decision makers, pandemic vaccines are likely to remain research only. There are still green shoots of research into pandemic preparedness/prevention that I am continuing to work on. I'm working under the "Australians for Pandemic Prevention" brand of Good Ancestors, another group that ACX funded in 2024. 72: Scenario Analysis For Developing World Agricultural Programs In addition to the research and analysis funded by the grant, I’ve learned to code with LLMs and have built an MVP of the project. The app is being considered for further development by staff at a large international organization. 73: Further C’s Political Career C’s political career is going well, but he continues to think it wouldn’t be strategic to give more information publicly at this time. Lessons Learned I'm most impressed with our lobbying/advocacy organizations. In particular, Good Ancestors has gotten the Australian government to sign onto an international AI safety declaration, partner with various x-risk-related organizations, and (possibly) extend charity tax deductions to some EA causes that previously didn't have it - I think this on its own goes a substantial way to paying back the cost of all ACX Grants. Coalition to Modify NOTA has a kidney donation bill in front of Congress that the (very illiquid) prediction markets give a 45% chance of passing; if it works, it could save thousands of lives. The Georgists are partly responsible for bills making land value taxes slightly easier to implement in a handful of states. Good Science Project seems to have significantly improved science. Are lobbying organizations a better bet than other types of nonprofit (within the constraints of ACX Grants)? I'm not sure. It could just be that lobbyists are (naturally) better at playing themselves up and sounding successful than (for example) scientists, or that politicians are good at people-pleasing and make people feel heard and encouraged in a way that might not change overall policy later. Also, I recently talked to some grantmakers who funded a lobbying organization that superficially seems excellent, but they expressed concern it was net negative (!) by taking away oxygen and spotlight from potentially more effective orgs. So I am encouraged but wary. Animal welfare organizations were another standout success. Again, I don't know how to think about this - while I think our grantees were exceptional, there's also an issue where the scale of animal welfare challenges is so great, and work on them so neglected, that lots of organizations can save a million chickens here, or a million fish there, without particularly making a splash. On the one hand, this is exactly what effective altruism should be doing - exploring grants that are very high in linear utility even if they don't feel satisfying. On the other, they're unsatisfying - and also hard to assess retroactively. How many chickens should a good animal welfare grant save? Any realistic number will both be overwhelmingly large in absolute terms and far too small in relative terms. I'm most ambivalent about our science grants. Many of them say they are successful and can point to published papers which explain the science they did. But it's hard to judge whether anything useful has changed based on the science getting done. I know it's important to fund basic research and not just last-mile technology startups, but it's hard for a mini-grants program like this one to evaluate these kinds of abstract interventions. One disappointing result was that grants to legibly-credentialled people operating in high-status ways usually did better than betting on small scrappy startups (whether companies or nonprofits). For example, Innovate Animal Ag was in many ways overdetermined as a grantee - former Yale grad and Google engineer founder, profiled in NYT, already funded by Open Philanthropy - and they in fact did amazing work. On the other hand, there were a lot of promising ACX community members with interesting ideas who were going to turn them into startups any day now, but who ended up kind of floundering (although this also describes Manifold, one of our standout successes). One thing I still don't understand is that Innovate Animal Ag seemed to genuinely need more funding despite being legibly great and high status - does this screen off a theoretical objection that they don't provide ACX Grants with as much counterfactual impact? Am I really just mad that it would be boring to give too many grants to obviously-good things that even moron could spot as promising? Someone (I think it might be Paul Graham) once said that they were always surprised how quickly destined-to-be-successful startup founders responded to emails - sometimes within a single-digit number of minutes regardless of time of day. I used to think of this as mysterious - some sort of psychological trait? Working with these grants has made me think of it as just a straightforward fact of life: some people operate an order of magnitude faster than others. The Manifold team created something like five different novel institutions in the amount of time it's taken some other grantees to figure out a business plan; I particularly remember one time when I needed something, sent out a request to talk about it with two or three different teams, and the Manifold team had fully created the thing and were pestering me to launch a trial version before some of the other people had even gotten back to me. I take no pleasure in reporting this - I sometimes take a week or two to answer emails, and all of the predictions about my personality that this implies would be correct - but it's increasingly something that I look for and respect. A lot of the most successful grants succeeded quickly, or at least were quick to get on a promising track. Since everything takes ten times longer than people expect, only someone who moves ten times faster than people expect can get things done in a reasonable amount of time. In almost every case where I thought to myself “this is a cool idea, but I don’t know how it’s going to really pay off, as opposed to reaching a cool intermediate accomplishment and then stagnating”, this was a correct criticism, and I should have taken it more seriously. But I can’t rule out that these were good in vague and hard-to-measure ways that I should take more seriously. This one is really self-serving, but in general when people were good communicators (or even bloggers) and wowed me with the writing-composition of their application, they turned out to be a good bet. And when people were hard to understand and annoying to communicate with, even if their ideas seemed good, they were less likely to pan out. Overall Thoughts The total cost of ACX Grants, both rounds, was about $3 million. Do these outcomes represent a successful use of that amount of money? Very naively, startups originating from ACX Grants have about $50 million in value1. If ACX Grants is equivalent to a pre-seed funder, and pre-seed funders usually get ~5%, then if we were VCs we would have a portfolio worth $2.5 million. About 1/5 of ACX Grants were attempting to be market-valued startups, so if we assume the charitable portion did about as well as the startup portion, then the charity portion is “worth” $10 million. There’s some reason to expect this is too high, since much of the startup value came from one successful outlier. But there’s another reason to expect this is too low, since we were aiming at charity rather than market cap, and any actual market cap that our grantees got was an unexpected side effect. I’m treating this as a sanity check rather than as a real number. It’s harder to produce Inside View estimates, because so many of the projects either produce vague deliverables (eg a white paper that might guide future action) or intermediate results only (eg getting a government to pass AI safety regulations is good, but can’t be considered an end result unless those regulations prevent the AI apocalypse). Because we tend towards incubating charities and funding research (rather than last-mile causes like buying bednets), achieved measurable deliverables are thin on the ground. But here are things that ACX grantees have already accomplished: Improved the living/slaughter conditions of 30 million fish.
October 13, 2025 · Original source
Elaine Perlman, $94K, to continue lobbying for kidney donation incentives. Elaine works with Waitlist Zero and the Coalition To Modify NOTA to promote the End Kidney Deaths Act, which offers valuable tax credits to kidney donors. They estimate this bill could save 100,000 lives over the next decade, and save the government $50 billion/year (dialysis is very expensive, Medicare currently covers it, and transplantees would no longer need it). Since our previous grant last year, the EKDA has been cosponsored by 29 members of Congress, discussed in the Journal of the American Medical Association, and profiled in the LA Times. The prediction markets are down to only 25% chance it gets passed this year, but I’m optimistic about 2026 - 2027
Columbia

Columbia is a recurring organization in the Astral Codex Ten archive, appearing 5 times across 5 issues between April 30, 2021 and September 12, 2024. The archive places it in contexts such as "Thomas Tanselle, a professor at Columbia"; "Eric is nominally a grad student at Columbia studying algorithms"; "important institutions like Broadway, Wall Street, Port of NY & NJ, Columbia". It most often appears alongside US, ACX, America.

Article page
Columbia
Mention count
5
Issue count
5
First seen
April 30, 2021
Last seen
September 12, 2024
April 30, 2021 · Original source
At the time when Baker was writing Double Fold, microfilm as an information medium was already on its way out, and most American newspapers and books had already been transferred to microfilm anyway, which means that it wouldn’t have made much sense for anyone to microfilm them again. Microfilming was quickly giving way to digitalization, but it was fairly easy to produce digital copies from microfilm (rather than from the paper originals themselves). Why not let bygones be bygones then, especially since Baker himself admitted that the destruction of books and newspapers had abated during the 1990s, thanks in part to the “abolitionist” campaign of a few scholars and librarians, led by Thomas Tanselle, a professor at Columbia.
January 24, 2023 · Original source
Eric is nominally a grad student at Columbia studying algorithms for elicitation and aggregation of knowledge, but he's on a leave of absence to do research in AI alignment. Eric blogs at Unexpected Values, and you can read some of his more formal work on prediction aggregation here.
May 10, 2023 · Original source
Makeshift housing in a North Dakota oil boom town (source) If each person creates half a job, the original 1,000 oilmen attract 500 service workers, those 500 attract another 250, and so on until population stabilizes at 2,000 people. In this model, if there are fewer than 2,000 houses in the town, demand exceeds supply (no matter what is going on in the rest of the country), but if there are more than 2,000, supply exceeds demand. So if we imagine Google’s presence as an oil-like resource, the extra demand for housing in the Bay should gradually decline: at some point, you will have finished housing the Google workers and the service workers who support them. But this isn’t right either, because Google isn’t a natural resource - it’s a company founded by Bay Area residents. If you got more Bay Area residents, you would (with some delay) get more Googles. Or: Austin gets lots of jobs from Tesla. Tesla wasn’t founded by Austinites. But it moved to Austin when it became a known “tech hub”, ie a place with lots of tech companies and tech employees. It wouldn’t have moved to Austin if Austin was still an uninhabited plain or a one-horse town. So as Austin got bigger, it attracted more tech companies. So in both the Bay Area case and the Austin case, having more people attracted more tech companies, either because the residents themselves found the company or because the company gets attracted to this newly bustling city. Potential counterargument: Each new Bay Area resident gives the Bay another lottery ticket to found the next Google. If having the first Google gets it an extra 1 million people, but there are 300 million people in the US, then those extra 1 million only give it a 1/300 chance of winning the next lottery. So even though the Bay Area won the lottery once, and this made it have high demand, this doesn’t mean the high demand will cause it to win more lotteries. If you win the lottery once, spend all your winnings on more lottery tickets, and keep doing this forever, you haven’t invented an infinite money printing machine, eventually you’ll just lose. Potential counter-counter-argument: the Bay got Google, and Facebook, and Apple, and . . . so these can’t all be separate lotteries. I think you should probably model it as a high-level lottery to become the next hub of a tech-sized industry, plus many low-level lotteries where once you’re the tech hub, you’re attracting lots of techies, and each techie gives you a ticket in a lottery where the denominator is the number of techies to found the next big tech company. And the Bay might have half the US’s techie population. So maybe here there is a self-sustaining lottery-winning cycle, at least until tech plays itself out and nobody wants any more tech companies. And that might take a long time. Tom (author of Tom Thought) writes: The primary drivers of demand for living in NYC are the specific opportunities available in NYC. It is true that on long time horizons, one of the reasons these opportunities have tended to collect in NYC is that it is a dense place. But those aren't the only reasons - NYC is much more important than other, bigger cities in other parts of the world for complex historical reasons. Even if a catastrophe were to wipe out half the city, there would still be a great deal of demand to live near important institutions like Broadway, Wall Street, Port of NY & NJ, Columbia, etc (assuming those institutions survived the catastrophe). Increasing the number of housing units has a very mechanical impact on how many people can live in the place. But it has only a second-order impact on the types of institutions that drive demand to live in the city. People don't just generically crave to live near other people for the most part (a handful of urbanist freaks like myself excepted). The Bay Area is a great example of this. It is much less populated than other much cheaper cities. Density isn't why people want to live there - it's access to a specific culture and specific institutions. Demand for that is not simply a function of density - some people want to be part of Bay Area culture and others don't. Adding more units will induce some demand as a second-order effect, but will bring prices down as a first-order effect. To relate this to your model: we might be able to say that the country has a certain number of abstract "culture points" that have been allocated to different cities by various historical forces. Each culture point a city has increases demand to live in that city by a certain amount. Adding more people to the city may allow it to generate additional culture points over time, or acquire culture points from other cities, but this doesn't happen right away, and is determined by a host of factors other than just density. Under this model, we expect a place like NYC to always cost much more than North Dakota (since NYC possesses a large number of culture points), but we would also expect that adding additional housing units to NYC would bring costs down (since there are now additional housing units per culture point). Perhaps this process will over time allow NYC to steal away some culture points from Chicago, Boston, or other cities, but this is a secondary effect. This just seems to be passing the buck. Yes, people move to New York because it has Broadway, Columbia University, and Wall Street. Why does it have those things? Because one in every X New York citizens founds a good artistic/educations/financial institution, and New York has a large population of employees to work at those institutions and customers to patronize those institutions. If Conanicut Island had a population of 10 million people instead of Manhattan, there would be lots of great institutions on Conanicut and it would have more culture points. I don’t think it’s a culture-point game and population/density just sort of occasionally redistributes culture points, I think to a first approximation culture points just track population/density. Maybe they track the population/density of upper class people better than the total population/density, but I don’t think this is a big enough distinction to sink the argument. 3. Comments About Chinese Ghost Cities Some people brought these up as a good natural experiment: the Chinese really did try building millions of houses on their equivalent of a North Dakota plain. What happened? Jeremiah Johnson (author of Infinite Scroll) writes: You currently seem like you're at the stage of understanding the thought experiments pretty well, but not understanding them on a DEEP level. For example with your hypothetical, this has actually happened before! Kind of. China built a bunch of 'ghost cities' basically out of nothing, and while there was an initial craze of speculation and tons of investment and building... nobody went to live in those cities most of the time. And now they're deeply distressed assets worth basically nothing. When nobody actually lives in the ghost city, it doesn't matter that they have super dense housing. There's no demand. (the only reason they might be worth something is that the CCP very, very much does not want to pop their huge housing bubble and is likely to bail out some of the parties involved) Parmenides (author of Last House On The Left) writes: I think your mixing up the agglomeration effects of density, which is what induces the demand, and the housing supply. You can't just build a city and expect people to move in, China has tried that. But if you have the agglomeration effects of density and shortage of housing due to artificial constraints, which we have all across the US, then you get dense areas with high housing costs. sdwr writes: Think of China's ghost cities / apartment blocks. Prices surely can't be that high there. Maybe the answer is that developers are good at their job, and build supply where theres demand for it? But several other people object that although the Western press made a big deal about Chinese ghost cities a few years ago, it mostly just took a couple of years for people to move in, and now at least some of them seem to be thriving. For example, Michael quotes the Wikipedia article, Under-occupied Developments In China: Reporting in 2018, Shepard noted that "Today, China’s so-called ghost cities that were so prevalently showcased in 2013 and 2014 are no longer global intrigues. They have filled up to the point of being functioning, normal cities". Ash Lael writes: I'm sceptical of the Chinese "ghost city" phenomenon. I haven't explored the issue rigorously but my impression is that in areas that were previously dismissed as "ghost cities" like Ordos Kangbashi, the population is now large and growing. I think we in the west are so used to infrastructure bottlenecks and short sightedness and anti-construction policies that the idea of it being possible to build the housing and infrastructure to accomodate expected demand ten years in the future is completely foreign to us. Perhaps building brand new cities before they are even needed is what the YIMBY utopia looks like. See also Bloomberg: China’s Ghost Cities Are Finally Stirring To Life After Years Of Empty Streets. This wasn’t trivial. It looks like the Chinese government had to put in some work to make people move in, including opening good schools and universities there. Probably if they had just built apartments in the middle of the desert and nothing else, they would have stayed empty. But that’s even more of a reductio ad absurdum than the original ghost city plan. 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?)
March 20, 2024 · Original source
The average ClearerThinking user reported their IQ as 130. These are implausibly high. Only 1/200 people has an IQ of 138 or higher. 1/50 people have IQ 130, but the ClearerThinking survey used crowdworkers (eg Mechanical Turk) who should be totally average. Okay, fine, so people lie about their IQ (or foolishly trust fake Internet IQ tests). Big deal, right? But these don’t look like lies. Both surveys asked for SAT scores, which are known to correspond to IQ. The LessWrong average was 1446, corresponding to IQ 140. The ClearerThinking average was 1350, corresponding to IQ 134. People seem less likely to lie about their SATs, and least likely of all to optimize their lies for getting IQ/SAT correspondences right. And the Less Wrong survey asked people what test they based their estimates off of. Some people said fake Internet IQ tests. But other people named respected tests like the WAIS, WISC, and Stanford-Binet, or testing sessions by Mensa (yes, I know you all hate Mensa, but their IQ tests are considered pretty accurate). The subset of about 150 people who named unimpeachable tests had slightly higher IQ (average 140) than everyone else. Thanks to Spencer Greenberg of ClearerThinking, I think I’m finally starting to make progress in explaining what’s going on. Problem #1: The Biggest SAT → IQ Conversion Site Is Wrong Thanks to Sebastian Jensen for pointing this out! He writes: A search of ‘SAT to IQ’ on google results in being presented with the website ‘iqcomparisonsite.com’. This man has directly converted the SAT percentiles to IQ scores, which is not what should be done. Tests like the ACT and SAT correlate with IQ at about 0.8-0.85 [rca], [my analysis], [emil article], [scholarly article]. The general factor of academic achievement and IQ correlate at about 0.81-0.88 [psychometric test], [GCSE grades]. This discrepancy occurs because they measure different abilities - an IQ test will test many different abilities, while the SAT/ACT only tests verbal/mathematical ability. In addition, these percentiles are very outdated as the average SAT score has changed over time due to changes in the content of the test. Instead, the ideal way to do this is to take the percentiles from the current versions of the SAT and then convert those into z-scores and then regress those z-scores by the mean by the estimated regression coefficient. Using Sebastian’s updated tables, we find that the average Less Wrong IQ as predicted by SATs goes down from 140 → 132, and the ClearerThinking IQ goes down from 134 → 124. So people probably exaggerated their IQs somewhat, and unrelatedly we were using an SAT → IQ conversion that exaggerated IQs, and so the numbers falsely appeared to match. Okay! It’s a start! Interlude: The ClearerThinking IQ Test The ClearerThinking survey included a battery of cognitive tests of exactly the sort that could usually be used to determine IQ. Unfortunately none of them were normed, so we know how all the 3700 subjects did relative to each other, but not where the 100 point is. Spencer was able to norm them to the general population based on education level. That is, he asked his sample about their educational attainment (college degree, PhD, etc) and found they were a little more educated than the US average. Since the US average IQ is 100, his sample should have an average a little higher than this. He was able to calculate how much higher. Then he mapped a bell curve to everyone in his sample’s performance on his tests. Since he had 3700 people, he was able to do this relatively smoothly. He found an average IQ of 110, which originally surprised me, because I thought his sample was supposed to be random crowdworkers, who should be close to the US average of 100. But in fact, his survey was a combination of 1900 crowdworkers and 1800 people who saw it on social media - eg friends and friends-of-friends of Spencer. Separating this out by group, we find that the crowdworkers have an average normed-IQ of 100, and the social media referrals have an average normed-IQ of 120, making the overall average of 110. This seems pretty trustworthy, since it correctly estimates the crowdworkers (completely average) as 100. Spencer studied math at Columbia, his friends and friends-of-friends are pretty smart, and I think the 120 estimate for them is also okay. But there’s still a problem here. Using an accurate SAT score → IQ calculator, we determined that the ClearerThinking average should be 124. But using real cognitive tests, it looks like it’s 110. What went wrong? Problem #2: Only The Smartest People Report Their SATs Using Spencer’s cognitive test results, we can compare people who did vs. didn’t take the SAT. We find: People who didn’t take the SAT (remember, this includes current high schoolers) have tested-IQ 110.
September 12, 2024 · Original source
32: Columbia’s anti-Semitism task force publishes their report. I guess I assumed that when people talked about anti-Semitism at college they meant pro-Palestine protests turning violent or something, but this suggests it’s much worse than that, eg people who wear Jewish head coverings getting spit on, Jewish students beings scared to walk alone on campus, etc. But props to them for publishing such a damning report and not trying to cover any of this up, I guess.
41: Nate Silver has a new book, On The Edge, about risky fields, the people who thrive in them, and the skills those people need. Here’s a mostly positive review, here’s another, and here’s a mostly negative one. Many of the negative reviews are dumb (“how dare he talk about gambling and capitalism without putting I HATE THEM in bold letters on every single page!”), but one of the better criticisms was that a lot of success in risky fields comes not from good risk intelligence, but from setting up heads-I-win-tails-you-lose style scams while pretending that your success comes from good risk intelligence. So one danger of knowing about the (very real!) importance of good risk intelligence is that it makes you more vulnerable to believing these people (although I understand that one part of Nate’s book describes how he was always suspicious of SBF, even before his misdeeds were public).
California Forever

California Forever is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between September 04, 2023 and October 28, 2025. The archive places it in contexts such as "The company involved (Flannery Associates aka California Forever)"; "While California Forever’s announcement fumbled the bag"; "California Forever, the ambitious planned city an hour north of San Francisco". It most often appears alongside Honduras, Prospera, San Francisco.

Article page
California Forever
Mention count
4
Issue count
4
First seen
September 04, 2023
Last seen
October 28, 2025
September 04, 2023 · Original source
Source: www.californiaforever.com The company involved (Flannery Associates aka California Forever) has been in stealth mode for several years, trying to buy land quietly without revealing how rich and desperate they are to anyone in a position to raise prices. Now they’ve released a website with utopian Norman-Rockwell-esque pictures, lots of talk about creating jobs and building better lives, and few specifics. My in-laws live just north of the area involved. I drive through there regularly. It’s hot, dry, and without a lot going on. There are a few ~100,000 person towns scattered across the county, usually a small core of shops surrounded by suburbs and strip malls. The culture and politics are about 30% of the way along the spectrum from Bay Area Democrats to Central Valley Republicans. Humans outnumber cows, but the cows make a strong showing. Source: www.californiaforever.com Even for these tech tycoons, $800 million is a lot of money. So what’s the business plan? In one sense, nothing could be simpler. Buy lots of farmland cheap. Build housing for the housing-starved California masses. Once it’s a respectable-sized town, sell dear. If you can actually create a Norman Rockwell utopia, great. But Californians will also pay $750 per square foot for somewhere that just has a little less trash and feces than usual. So the bar is low. Some quick numbers: Flannery has bought about 78 square miles of land, but suppose they can only develop half of it for legal and environmental reasons. This would still make them the same size as the nearby towns of Vacaville (30 sqm) and Fairfield (40 sqm). Land value in Vacaville is about $75K per acre. So if they developed their land to the same level as Vacaville, it would be worth $4 billion. But in fact, they’re talking a lot about “walkable, liveable, sustainable communities”, all of which are code words for “dense”. If their town actually looks like the pictures (note the connected row houses with tiny yards) it could easily be $10 billion plus. That’s not even counting any benefit from the community actually being “utopian”.1 In another sense, this is an extremely risky investment with a long and unclear path to profitability. You can make a killing selling housing in California because there’s constricted supply. There’s constricted supply for legal reasons. Building your own town routes around some, but not all, of the legal problems. And it causes new legal problems of its own. Solano County has a so-called “Orderly Growth Measure” saying that new building should happen in existing cities and not on empty land. In order to start building at all, Flannery has to win a referendum granting an exemption. But they already have a powerful coalition of local enemies: Three months ago, Flannery sued a group of local farmers who wouldn’t sell to them, accusing them of “conspiring to inflate the value of the land”. This isn’t implausible - a known risk of trying to buy lots of contiguous land without eminent domain powers is that locals realize you’re desperate and conspire to raise prices. But it’s also not implausible that billionaires trying to get farmers to sell their land are playing legal hardball. In any case, local officials and farming activist groups took the farmers’ side and are now really mad.
September 11, 2023 · Original source
While California Forever’s announcement fumbled the bag, they weren’t exactly set up to succeed. Since Flannery Associates started buying land six years ago, public opinion has swung dramatically against Silicon Valley, the technology industry as a whole, and (in particular) people who got rich building technology companies.
February 03, 2025 · Original source
California Forever, the ambitious planned city an hour north of San Francisco, is on hold.
But announcing last year that California Forever would seek a vote on the November 2024 ballot, without a full Environmental Impact Report and a fully negotiated Development Agreement, was a mistake. This politicized the entire project, made it difficult for us and our staff to work with them, and forced everyone in our community to take sides.
But in the past few days, the situation has changed. Suisun City, a nearby small town, has announced that it is considering annexing the California Forever land. Since the project was previously blocked by laws restricting building on unincorporated land, getting annexed by a city - and maybe running their project under the Suisun City banner - would solve many of their problems. Suisun City is struggling financially, and it would make sense for them to offer legal protection in exchange for money. The city mayor sort of halfway-kind-of-denies that’s what she’s doing, but California Forever is unpopular among Suisun City voters - if the story were actually false, I would expect her to make stronger denials.
October 28, 2025 · Original source
See here for a more complete history of the island, and here for a Charter Cities Institute podcast on the topic. California Maybe Actually Pretty Soon Now California Forever, the project to build a new city in unoccupied land an hour from San Francisco, has overcome a first round of political headwinds. In 2023, a stealth mode company announced it had quietly bought up a city-sized tract of land in Solano County, and would be placing an initiative on the county ballot to let them build a futuristic planned community there. Enough local NIMBYs protested that the company and county jointly withdrew the initiative in favor of seeking some other agreement. In 2025, they announced their new strategy: they would partner with nearby Suisun City. Suisun would annex their land and permit development there, avoiding a county-wide referendum (they might also make a deal with another nearby city, Rio Vista). The new plan is moving forward: earlier this month, California Forever submitted their annexation paperwork, which was deemed complete by the city. The remaining steps are: Suisun City Council must approve their environmental impact report (may cause delays and added expense, but unlikely to block the project outright)
Suisun City Council must approve the annexation (city council has already voted in favor of California Forever before and will likely do so again)
Building codes are inflexible and designed around the more-common modern styles. Getting robots to mass-produce ornament solves problems 1 and 2, and doing it in a model city with a ground-level commitment to ornament solves problem 3. Sramek writes: Our renderings do not tell the full story. Getting architecture right in a way that is also scalable and affordable is hard. And until now, we’ve been focused on the things “lower down in the stack” that need to be designed first – land use plans, urban design, transportation, open space, infrastructure, etc. But I started this company nearly a decade ago precisely because I felt that so much of our world had become ugly, and I wanted to live, and have my kids grow up, in a place that appreciates craft and beauty. This is one of the clearest examples of what I love about model cities. There are lots of things that everyone (or at least a substantial proportion) of people want, which people aren’t doing - not because there’s some strong opposition or technical challenges, but because the system is too complex/diffuse/ossified to permit change. A lot of what I love about California is downstream of its geography as the westernmost part of the western world - the people who felt confined by Europe fled to America, and the people who felt confined by America fled to California, and until recently it was an open space big enough for new experiments to grow. I think of “California Forever” as a nod to that heritage, and a test of whether some of those sparks still survive. The Siege Of Prospera In the 2010s, a conservative Honduran government decided to allow experimental “ZEDEs” - semi-autonomous charter cities - in the country. Several projects sprung up, most notably Prospera and Ciudad Morazan, and met some early success. In 2022, the socialists took over and decided to end the experiment. They were able to ban the creation of new ZEDEs, but had more trouble disbanding existing projects. They found there were two legal roadblocks. First, the founders of the ZEDE system - well aware of how sudden shifts in governments could destroy charter cities - fortified their law with constitutional protections making it near-impossible to repeal. Second, they signed international treaties giving charter city investors the right to sue Honduras for very large amounts if it tried to destroy their hard work. How do you repeal a law that says it would be unconstitutional to repeal it? The socialist-controlled Honduran Supreme Court tried their best, saying that the law had retroactively itself been unconstitutional, and so existing ZEDEs had retroactively been illegal the whole time. However, the court failed to remove the entire thicket of legal protection surrounding the ZEDE system; in particular, they did not strike down Article 94 of the Constitution, which said that unconstitutionality rulings could not be enforced retroactively. So as far as anyone can tell, the current status of ZEDEs is that it is illegal for them to exist, but also illegal for the government to take any action to remove them. On their way out, the Court ordered some penalties against “companies that became ZEDEs”, which is not really how this works (companies can found ZEDEs, but they don’t become ZEDEs; this is like saying “companies that became cell phones”) and which therefore nobody has tried to collect. Why did the government’s case end so farcically? Honduras-watchers suggest that the Court was trying to balance its obligations to the government, to the integrity of the legal system, and to practicality. The government really wanted an anti-ZEDE victory to present to its voters. The integrity of the legal system made it hard to apply ex post facto judgments. And practically, the whole case ran up against the second layer of protections the ZEDE founders built around their project: the investor treaties. If Honduras were to end ZEDEs, ZEDE investors could sue in international court. Prospera’s investors have already sued for $11 billion - a third of Honduras’ GDP. The case is currently tied up in international courts, with the delay being amenable to both sides; the government expects to lose, and the Prosperans would rather keep the suit as a threat they can hold over the Hondurans’ head than actually get a judgment in their favor - which would be bad PR, and which they expect Honduras would not pay. (also, although the Trump administration hasn’t taken a firm stance, Prospera seems like the sort of thing they would like, and Honduras is nervous about offending them too badly) Since the government doesn’t seem to be able to legally shut down Prospera, they’ve resorted to harassing it - especially trying to debank it. This might have worked, if not for the fact that a certain $4 trillion weird Ponzi casino industry has always imagined itself as having a fig-leaf purpose of “what if a utopian libertarian island-city got debanked by a repressive socialist government and could only save itself if there were a entirely new kind of financial infrastructure totally different from the regular one?”; although I imagine they were just as surprised as anyone else when this exact scenario suddenly played out in real life, nobody can deny they were extremely prepared for it. So the attempted harassment has fallen flat too, and the government doesn’t have a lot of options. Further developments hinge on next month’s big election. The candidates seem like a colorful bunch: Polling has been contradictory: …with Rixi Moncada (socialist), Salvador Nasralla (liberal), and Nasry Zablah (right-wing) all making strong showings. My impression is Moncada would be worst for Prospera, Zablah best, and Nasralla somewhere in the middle. Meanwhile, my contact in Prospera reports that life in the city continues as normal, with most residents relatively insulated from the lawfare happening around them. They are up to 300 registered companies, a nearly-full office tower, a few residential developments under construction, and frequent conferences on relevant topics like crypto and biotech. From Techbro To Sherbro Sherbro, Sierra Leone. A place synonymous in the popular imagination with the phrase “Sherbro, Sierra Leone”. Population 30,000. Size 230 square miles (or “just a little bit smaller than Singapore”, according to its boosters). There are too many places named “Freetown”. And not enough named “Kissidougou”. Siaka Stevens is the grandson of Sierra Leone’s first president, also named Siaka Stevens. He grew up in Britain, worked in business and finance, then went back to his family homeland as an adult. Moved by the poverty he saw around him, he decided to start a charter city. He recruited the help of Idris Elba, a famous British actor of Sierra Leonean descent, and together they started a company to build Sherbro Island City. The usual Dubai and Singapore comparisons were made. Maybe due to Stevens’ government connections, they got an impressively broad concession from the government - the Charter Cities Institute has compared it to Honduras’ ZEDEs, among the most autonomous charter city legislation in the world. From the podcast: Okay, so there are seven governing board members and the agreement specifically states that they are strictly from the private sector. SAP, our company, will choose four of the board members and the chairperson and the government of Sierra Leone will choose three. That’s the seven member board. And underneath that is a similar structure to municipal corporation. We have fiscal and legislative autonomy. English common law, very robust investor protections. The best way to kind of describe it, a similar situation, mean, Hong Kong now actually, and it’s a similar setup to Hong Kong and China’s relationship in the early eighties, where you have a special administrative region that is very autonomous, but sovereignty is held by the main Sierra Leone country. So it’s an innovative kind of new system of governance. Stevens calls the island a “greenfield” site, but it includes a town (Bonthe, population ~10,000) and an ethnic group (the Sherbro people). Yup, that’s definitely an ethnic group. I have honestly never seen a group this ethnic before. A+ at being ethnic (source). It’s slightly unclear whether Bonthe and other inhabited areas are within the SEZ, but it looks like maybe they are, and Stevens means he will mostly be building the new Singapore-style smart city on uninhabited parts of the island, with Bonthe as an early base for transit and development that he hopes will benefit but otherwise remain unaffected. Various local chiefs seem to be mostly in favor, as far as we know. The big problem for these island charter city attempts is infrastructure. You eventually want heavy industry and high-value-add manufacturing, but how do you build up enough civilization - transit, power, labor, amenities - to support these expensive enterprises? Every charter city has its own solution - gambling in Grand Bahama, regulatory arbitrage in Prospera, political alignment in Praxis. Sherbro’s plans include: A hub to lure the Sierra Leone diaspora back to the country (Google says the Sierra Leone diaspora is 336,000 people, most of whom are probably not digital nomads or jet-setters)
Center for AI Safety

Center for AI Safety is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between January 09, 2024 and January 27, 2025. The archive places it in contexts such as "This is a great new paper from Dan Hendrycks, the Center for AI Safety"; "the Center for AI Safety is running a virtual course on AI Ethics, Safety, and Society"; "Center for AI Safety is the one I already knew about". It most often appears alongside Dan Hendrycks, Astralcodexten Com, OpenAI.

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4
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January 09, 2024
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January 27, 2025
January 09, 2024 · Original source
This is a great new paper from Dan Hendrycks, the Center for AI Safety, and a big team of academic co-authors.
May 13, 2024 · Original source
3: Or, if you are unlucky enough to be an adult, the Center for AI Safety is running a virtual course on AI Ethics, Safety, and Society. Don’t be lulled into a false sense of security by the “virtual course” title, this has group sessions and graded projects. Apply by May 31.
October 10, 2024 · Original source
...so I guess it wasn’t entirely due to my ex. But the bill owes much of its specifics and support to its three co-sponsors - Center for AI Safety, Encode Justice, and Economic Security Project Action.
Center for AI Safety is the one I already knew about. An AI researcher named Dan Hendrycks got really into AI safety and apparently works 70 hour days; I try to follow this space closely and am boggled by the amount of projects he has going at any given time - several lobbying efforts, a bunch of research projects, various showcases of model capabilities, and being Elon Musk's safety advisor at X.AI. Hendrycks has gotten a reputation for being incorruptible (he gave away ~$20 million in AI company equity2 after trolls tried to turn it into a "conflict of interest" and use it to discredit his lobbying) and intense (I don't think it's a coincidence that he gets along with Elon so well). At some point he founded CAIS to keep track of all his efforts, I'm not surprised to see them involved here too, and I imagine they provided some much-needed technical expertise.
January 27, 2025 · Original source
2: Dan Hendrycks’ Center For AI Safety is offering an online course (application deadline Feb 5, course dates Feb 19 to May 9). You could also just download the textbook. I’ve seen a decent number of people get involved in the field starting with courses like these - not because the course itself completely prepares you for everything, but because it helps you understand things well enough that you know where to go next (and it says that “we will support you in identifying your next steps, whether that involves building upon your end-of-course project, pursuing further research, or applying for relevant opportunities.”)
Center For Effective Altruism

Center For Effective Altruism is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between February 09, 2022 and March 11, 2024. The archive places it in contexts such as "The Center For Effective Altruism agreed to take over this part"; "Center for Effective Altruism leaders discussing concerns about Alameda Research in 2018"; "Ben West of the Center for Effective Altruism hosted a debate". It most often appears alongside effective altruism, Elon Musk, #5 participant’s charity.

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4
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February 09, 2022
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March 11, 2024
February 09, 2022 · Original source
I solved this the same way I solved everything else - begged friends and connections to do it for me. The Center For Effective Altruism agreed to take over this part, which was a lifesaver but created its own set of headaches. They’re a tax-deductible registered charity, which means they’re not supposed to give money to politics or unworthy causes. But some of my recipients were doing activism or things that were hard to explain to the federal government (eg helping a researcher take some time off to re-evaluate their career trajectory). They asked me to handle those myself, and I muddled through. Also, registered charity aren’t allowed to let donors influence its grant-making decisions, so I wasn’t allowed to donate directly to my own grants program; I had to split it in two and fund my fraction separately, with inconsistent tax-deductibility.
November 21, 2022 · Original source
Polymarket again within 2% of Manifold. Only 23 traders here, and they’re a lot less optimistic than the Trump traders. FTX! 43 traders, seems like probably. I’ve seen a lot of Twitter takes about how rich well-connected people never get in trouble for this kind of thing, but the markets seem less cynical. 251 traders, and by the way amazing job by “mr22” who started this market on October 5. I also appreciate the relatively late end date - there’s another market “. . . by 2024” which is in the 30s, but that’s because people don’t trust the justice system to move quickly, not because they think he’ll be found innocent. There are a series of markets on sentence length which seem to suggest more than a month but less than a year in jail; this doesn’t really make sense to me and I’m going to nervously ignore them. Only 8 traders here, so take with a grain of salt, but this is a great example of the creative ways people are using Manifold. The market resolves not to “yes” or “no” but to the percent of FTX US users’ funds that they eventually get back; you make money if you were closer than other traders. Here they seem to think most people will only be getting about 14 cents on the dollar. There’s another market for FTX.US users which is a little higher at 29. 34 traders. I think this is too high; I bet it was some random third-tier insider, just because there are more of them and they’re under less scrutiny. Moving on to the effects on effective altruism in particular (just assume I have all possible conflicts of interest here): 272 traders, check the detailed resolution criteria. I think the strongest case is something like the one described in this article, about Center for Effective Altruism leaders discussing concerns about Alameda Research in 2018. The article doesn’t give specifics but my guess is they were the same issues Kerry Vaughn describes here (though see the followup comment by an employee who left FTX, casting doubt on Vaughn’s claims). That means the market hinges on whether Vaughn’s allegations fit the resolution criteria that “the unethical behavior must have been related to fraudulent investment strategies that involve spending other people's money without their permission”. Vaughn describes “poor capital controls, including a lack of distinction between money owned by investors and money owned by Alameda itself”, which sounds like it’s in that direction but could cover a wide variety of badness levels. My guess is everyone will end up agreeing that disgruntled Alameda employees whisper-networked that some things were bad about the company in 2018, some of the rumors got to CEA leaders, the leaders debated whether this was worse than normal for a tech startup, decided it didn’t rise to a level where they needed to publicly freak out, and moved on. Isaac will have to pay attention to the details as they come out and decide whether or not it qualifies. 45 traders. This seems to confirm that the CEA incident is responsible for most of the probability mass above; many fewer people think the FTX Future Fund (ie the charitable branch of FTX responsible for giving out their money) was in on this. Related: this market only has five traders, but I’m highlighting it anyway in the hopes that it gets more. The most money is on 2022. My guess is that we’ll find that they had terrible accounting practices in 2018-2019 of the sort that could be classified as criminally incompetent in a way that bled into fraud (but the trades went fine so nobody was harmed) and then they ramped it up a lot in 2022 to deal with the crypto crash. I think this market will be harder to resolve than people expect. 47 traders. Everyone is panicking about this possibility, but it looks like it’s not too likely. 10 traders. I’ll take this chance to say: a lot of media is predicting the death of EA, or a major blow to EA, or something in that category. Not going to happen. The media isn’t good at understanding people who do things for reasons other than PR. But most EAs really believe. Like, really believe. If every single other effective altruist in the world were completely discredited, I would just shrug and do effective altruism on my own. If they instituted the death penalty for effective altruism, I would do it under cover of night using ZCash. And I’m nowhere near the most committed effective altruist; honestly I’m probably below average. “Saint gets eaten by lions in Colosseum, can early Christianity possibly survive this setback?” Update your model or prepare to be constantly surprised. 6 traders. So, we lost several hundred million dollars of funding in a giant disaster which was also morally outrageous and demoralizing. It happens. But lots of people have already emailed me asking how to send in more money to help fill the gap. Some added something like “it was so depressing that all the FTX money meant my money didn’t make a difference, but now I can help again, and it’s great!” Can these people fill the hole? 32% chance that they can! 10 traders. And if they don’t, we’ll still probably do better than in 2021, before all the FTX money started rolling in. We’ll try harder to hammer in the point about not doing “ends justify the means” reasoning, and do some reorgs and purges to prevent anything like this from happening again, we’ll make a bunch of other changes - some reasonable, some panic-driven - but we’ll go on. If all the far-future stuff collapses, we’ll donate to global health charities. If the global health charities don’t work, we’ll fund GiveWell to sit around and figure out something that does. If GiveWell gets hit by an asteroid, we’ll work on asteroid deflection (actually I think we might already be doing that). If asteroid deflection turns out to be -EV, we’ll switch to shrimp welfare, or give ourselves Zika virus, or any of a million other things. You have no idea how committed we are to continuing to do effective altruism regardless of whether or not it’s “popular”. But it will be popular. 45 traders, resolution criteria at the link, notice the dip when the FTX news broke, followed by recovery as people had time to think it over more. Moving on to slightly less serious topics: The snapshot doesn’t show this, but one of the suggestions is Atlas Rugged. 67 traders, interesting to see where forecasters’ priorities lie. This was a big rumor early on, along with “everyone was on meth”, but the on site psychiatrist said it was false during an interview. 13 traders. WHY DO PEOPLE KEEP GOING ON PODCASTS? Midterms! That was two weeks ago? It feels like years! A week before the midterms, I wrote: Polymarket, Manifold, and PredictIt now have shiny interfaces for predicting the upcoming US midterm elections. In terms of the Republicans taking the Senate, Polymarket is at 65%, Manifold at 58%, PredictIt at 73%, and 538 at 49%. Congratulations 538! Mike Saint Antoine (who wrote the review of Viral in the last Book Review Contest) has put some more work into scoring midterm election forecasts. Here are some headline results: Mike writes: The reason I didn’t just do a three-way comparison between PredictIt, FiveThirtyEight, and Manifold Markets is that the Manifold Markets forecasts included fewer questions than the PredictIt and FiveThirtyEight forecasts. So in order to do a fair comparison here, I’ll be comparing the smaller subset of questions for which PredictIt and Manifold Markets both gave a forecast. So it looks like both Manifold and 538 did better than PredictIt, and there’s no clear way to tell which of the former did better. (except I guess you could do this analysis with just the subset of questions Manifold and 538 share, but Mike didn’t and I’m also not going to). PredictIt has a pretty consistent Republican bias (it’s a minor epistemic sin to accuse a prediction market of having a predictable bias unless you’ve made money exploiting it, I made $600 this election so I’ll let myself pass). In years when Republicans do better than expected, it will probably look better than other markets; in years when they do worse, it will look worse. Still, this is a bias, so I think we should take them doing worse this year as a fair reflection of their accuracy, even thought next year it could go the other way. My main two takeaways here are: PredictIt isn’t yet good enough that the ideal theorems showing prediction markets should be unbiased and better than everyone else apply to it. The obvious explanation is its $800-per-question cap. Polymarket doesn’t have that cap and it did better, although Mike hasn’t done a formal comparison to 538.
October 05, 2023 · Original source
Last month, Ben West of the Center for Effective Altruism hosted a debate among long-termists, forecasters, and x-risk activists about pausing AI.
March 11, 2024 · Original source
3: Is your life too easy? Do you ever sit in your garden, enjoying the fresh air, thinking “man, I hate this, if only I was forced to defend a massive attack surface full of uncooperative weirdos, against bad-faith attacks by powerful institutions, while a peanut gallery nitpicks every single word I say”? You’re in luck - the Center for Effective Altruism has asked me to signal-boost that they’re looking for a new head of communications. Remote position, salary depends on location but up to mid-$100,000s.
chicagorationality.com

chicagorationality.com is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between August 25, 2023 and August 29, 2025. The archive places it in contexts such as "Group Link: https://chicagorationality.com"; "General Chicago: https://chicagorationality.com"; "Group Link: https://chicagorationality.com/". It most often appears alongside 200 Degrees, ACX, ACX.

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4
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4
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August 25, 2023
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August 29, 2025
August 25, 2023 · Original source
CHICAGO, ILLINOIS, USA Contact: Todd Contact Info: info[at]chicagorationality[dot]com Time: Saturday, September 09th, 2:00 PM Location: Grant Park on the north side Balbo just east of the tracks Coordinates: https://plus.codes/86HJV9FH+96 Group Link: https://chicagorationality.com
March 30, 2024 · Original source
CHICAGO, ILLINOIS, USA Contact: Todd Contact Info: info[at]chicagorationality[dot]com Time: Saturday, May 18th, 2:00 PM Location: We'll be in Grant Park just between the train tracks and Columbus on the north side of Balbo. There's a shaded area with some trees. Coordinates: https://plus.codes/86HJV9FH+9 Group Link: https://chicagorationality.com
March 25, 2025 · Original source
Contact: Noah Birnbaum Contact Info: dnbirnbaum[a t]uchicago[period]edu Time: Tuesday, April 15th, 5:00 PM Location: On the UChicago campus - usually in the Bartlett Dining Commons lounge but this could be subject to change. Coordinates: https://plus.codes/86HJQCR2+QJ Group Link: Uchicago: https://forms.gle/LZPSxwd1gtHku2QbA General Chicago: https://chicagorationality.com Notes: If you are on the mailing list, please fill out RSVP form that will be sent out so that I know how much food to get.
August 29, 2025 · Original source
Contact: Todd Contact Info: info[at]chicagorationality[dot]com Time: Saturday, September 27, 2:00 PM Location: Grant Park Coordinates: https://plus.codes/86HJV9FH+99 Group Link: https://chicagorationality.com/
Chinese government

Chinese government is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between April 04, 2022 and April 09, 2024. The archive places it in contexts such as "a few big actors like the US and Chinese government"; "The Chinese government doesn’t talk about it much"; "the Chinese government and scientists deny lab origins of the virus". It most often appears alongside China, Twitter, America.

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Chinese government
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4
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4
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April 04, 2022
Last seen
April 09, 2024
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.
April 06, 2022 · Original source
I came to the book with questions like: How did the pre-Xi Chinese government work? How was it different from dictatorship? What safeguards did it have against it? Why hadn’t previous Chinese leaders become dictators? And: How did Xi come to power? How did he defeat those safeguards? Had previous Chinese leaders wanted more power? How come they failed to get it, but Xi succeeded?
Who chooses the members of the inner groups? In theory, the outer groups; for example, the Central Committee is supposed to elect the Politburo Standing Committee. In practice, these selections tend to be of the “2,970 in favor, 0 against” variety, so they must be taking marching orders from someone. Who? The Chinese government doesn’t talk about it much, but probably the members of the Politburo Standing Committee hand-pick everyone, including the Paramount Leader and their own successors.
For one thing, Deng Xiaoping thought engineers were cool, and he was powerful enough to do whatever he wanted. A government made up entirely of engineers? Sure, whatever you say. And since the top echelons of Chinese government appoint their own successors, these engineers could appoint other engineers and so on.
July 30, 2022 · Original source
Also, the Chinese government and scientists deny lab origins of the virus. In the context of an authoritarian system this may count for very little, but it’s still some nonzero evidence in favor of natural origins. To say there was a lab origin, we would have to postulate that scientific institutions in China are lying and successfully engaged in a coverup, for which there have been no credible whistleblowers. Again, this may be entirely possible, but it still adds to the burden of proof that must be overcome by evidence for the lab leak hypothesis.
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.
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.
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).
We have WIV’s catalog of viruses because they tried to publish it in a Western journal just before the pandemic, the journal rejected it, and then years later they realized what they had. My impression is that China (realistically Wuhan City Government, I don’t think Xi would have been involved at this early stage) made a vague attempt to cover up the wet market early on - but that it wasn’t their Department Of Covering-Up’s finest work. For example, when the WHO asked for files on early cases, China gave them what they wanted, and then Western scientists were able to plot their addresses and find that they centered on the wet market. Is it possible that China was trying to cover up a lab leak, and, in order to fool outsiders, pretended to be covering up the wet market, while actually feeding international observers datasets massaged to make the wet market look more likely? Anything is possible. But as a sign of the Chinese government’s level of competence, remember that they didn’t put a travel ban on Wuhan until January 23, ie after many Wuhanites had left to visit family for the Lunar New Year holiday. So they would have to be executing their brilliant fake-cover-up-to-detract-from-the-real-coverup scheme while also being too stupid to prevent Wuhanites from taking the train to Beijing. Two more short points: First, when the debate came to the question of China’s cover-up competence, Peter presented this photo: This is the Wuhan Institute of Virology’s coronavirus research group, out for a team dinner at a local restaurant on January 15th 2020 (ie a month after the pandemic started). This isn’t the most rational probabilistic evidence in the world. But we’ve already seen people take the rational probabilistic evidence twenty different directions. So let’s ask the same question Peter did - do these look like people who secretly know they just started the worst pandemic in modern history? If they secretly knew they’d just started the worst pandemic in modern history, wouldn’t they at least be wearing masks? I think China, WIV, etc, were as clueless as the rest of us, at least at the beginning of the pandemic when a lot of this origins evidence was being collected. They tried to shove the raccoon-dogs under the bed, to prevent anyone from accusing them of bungling their SARS commitments. But they weren’t really up to anything else. A more thorough argument would go over specific pieces of evidence, examine when they were collected (ie whether it was before or after China started caring enough about COVID to get their competent people involved), and how China could have rigged each. Second, Peter (privately) discussed a Chinese conspiracy theory of his own with me by email. Here’s an article from a random Chinese blog (you’ll have to Google Translate it). It describes China’s preferred theory of COVID origins: it was started by imported lobster from Maine (really!) The lobster arrived in the wet market, the wet market got sick, and diabolical Americans trying to hide their own complicity blamed it on raccoon-dogs and lab leaks and what-have-you. The article includes this graphic: It’s a map of which vendors at the wet market got COVID and where their stalls are. In many ways, it matches the maps that China gave to Western scientists. In other ways, it’s better - it includes information that Western scientists only inferred months after this article came out. But also, unlike the maps provided to Western scientists, it says the raccoon-dog vendors got COVID - something China has previously denied, and which would significantly raise the odds of a natural origin. Is this China’s internal record of what really happened at the wet market? Did they fail some kind of critical communication about how classified it should be, so that a guy in their propaganda department accidentally released it publicly in a stupid article about lobsters? That would be so embarrassingly weird that Peter didn’t even try bringing it up in the debate. But in a response to a question about coverups, sure, let’s get conspiratorial. 1.8: Have Worobey and Pekar been debunked? Worobey and Pekar are the two most prolific pro-zoonosis scientists, and many of the points in Peter’s argument were based on them. Several people criticized my writeup for not mentioning that these were “debunked”, for example: Worobey and Pekar have about a million papers, each of which makes many different points, so I don’t know for sure what these are referring to. But a few other people make more specific claims, and I’ll respond to them here: Pekar’s paper on the two lineages originally estimated 99-1 odds of double spillover. Someone found a coding error that reduced it to 6-1 odds, Pekar admitted the error, and the paper has been updated. Other people have made other criticisms which I haven’t investigated in depth and am agnostic on. I don’t think my argument depends too much on the details of this paper. The argument for B earlier than A is that it infected twice as many people and has more genetic diversity. It’s possible these things happened by chance and A preceded (and mutated to) B. In that case, I still think the most likely scenario is that A was released at the wet market, infected a customer or two, mutated to B, and infected a vendor. A then spread among the neighborhoods near the market, and B spread among market vendors.
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.
CNN

CNN is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between February 09, 2021 and November 05, 2024. The archive places it in contexts such as "most popular [news source] is CNN at 15%"; "CNN confronted an old woman on the front lawn of her Florida home"; "created an anti-CNN meme". It most often appears alongside Biden, China, Trump.

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CNN
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4
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4
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February 09, 2021
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November 05, 2024
February 09, 2021 · Original source
No direct inline source block was recovered for this mention.
April 12, 2021 · Original source
CNN confronted an old woman on the front lawn of her Florida home for the crime of having used her little Facebook page to promote a pro-Trump event they claimed was engineered by Russians. The same network threatened to expose the identity of another private citizen who created an anti-CNN meme unless he begged and promised not to do it again. HuffPost doxed the real-life name of an anonymous critic of Islam (whose spouted views I find repellent) and triggered a boycott of her family’s business.
November 15, 2021 · Original source
No direct inline source block was recovered for this mention.
November 05, 2024 · Original source
No direct inline source block was recovered for this mention.
CSPI

CSPI is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between July 29, 2022 and February 29, 2024. The archive places it in contexts such as "CSPI: It’s Time To Review The Institutional Review Board"; "Sources: Manifold , CSPI , Metaculus , Polymarket , PredictIt , Insight , GJOpen"; "CSPI prediction market tournament". It most often appears alongside Biden, CFTC, Dynomight.

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CSPI
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4
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4
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July 29, 2022
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February 29, 2024
July 29, 2022 · Original source
20: CSPI: It’s Time To Review The Institutional Review Board
October 18, 2022 · Original source
Sources: Manifold, CSPI, Metaculus, Polymarket, PredictIt, Insight, GJOpen The lowest forecaster is higher than the highest pollster! Taking 538 as an example, forecasters range from 5 pp higher (Manifold) to 17 pp higher (PredictIt). Tournaments and real-money markets tend to give higher numbers than play-money sites. I would go with 47% on this one, based on the convergence between GJO, CSPI, and Polymarket. CFTC vs. PredictIt (and everyone else), Part II The Commodity Futures Trading Commission is the US agency regulating prediction markets. In August, they told PredictIt (the biggest political prediction market) to shut down, effective in February. Now a motley group of stakeholders are suing the CFTC for a stay of execution. Plaintiffs include: 2 professors using the site as “a source of data for research”
October 31, 2023 · Original source
1: Jonathan Zubkoff, winner of the CSPI prediction market tournament, explains his strategy.
February 29, 2024 · Original source
20: Related: Sebastian Jensen at CSPI looks into the dysgenic hypothesis: are we getting dumber because more intelligent people are less likely to have children? Answer: this is happening more in poorer countries, less in richer ones. IQ decline per decade “ranges from as low as 0.01 points in the Estonia and Switzerland to 0.65 points in Panama, Romania, and North Macedonia”. USA is 0.38, which I think agrees with other estimates, although realistically immigration effects will dominate. “The fact that the rate of decline is so fast implies that even if IQ differences between nations are completely environmentally determined today, over the coming decades there may still be a significant [genetic] divergence between them.”
California legislature

California legislature is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between November 04, 2022 and January 17, 2025. The archive places it in contexts such as "mandate the California legislature to devote $1 billion more"; "The California legislature will pass virtually any bill"; "submitted a “placeholder bill” on AI safety to this session of the California legislature". It most often appears alongside California, Elon Musk, Harvard.

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3
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November 04, 2022
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January 17, 2025
November 04, 2022 · Original source
This proposition would mandate the California legislature to devote $1 billion more to public schools, earmarked for arts and music, than it is doing already.
October 24, 2024 · Original source
The other interesting claim that came up in this session was that the California legislature will pass virtually any bill, because they’re busy and hate disappointing people. Then they let Governor Newsom decide whether to veto, and never override his veto. The lobbyists and California experts in the room disagreed vehemently about this, with some defending the legislature’s honor. The only point of general agreement was respect for Scott Wiener, even among people whose careers centered around thwarting him.
January 17, 2025 · Original source
24: Related: Scott Wiener, author of the SB 1047 AI safety bill, has submitted a “placeholder bill” on AI safety to this session of the California legislature, suggesting that he’s going to try again. There’s some speculation that he’s waiting for Newsom’s pretend investigative panel to return their pretend results so that he can pretend to include them, making it awkward for Newsom to veto it again.
Canadian government

Canadian government is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between May 19, 2023 and May 07, 2024. The archive places it in contexts such as "When the Canadian government takes production from the Toronto city region"; "The Canadian government got in trouble recently for promising to make cheap housing available for all without lowering anyone’s land values"; "worked in HR for the Canadian gov't for 10 years". It most often appears alongside Google, United States, Atlanta.

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3
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3
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May 19, 2023
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May 07, 2024
May 19, 2023 · Original source
Maybe you’re a pacifist and are thinking, “well yeah, pouring money into the military is dumb, we should use the money to help people instead.” Well, Jane Jacobs has bad news for you. Welfare programs are also transactions of decline. They, too, drain the wealth away from cities. When the Canadian government takes production from the Toronto city region and redirects it to your choice of: 1) the poor province of New Brunswick; 2) unproductive retired people; 3) farmers who depend on agricultural subsidies, that’s production that Toronto could have exported to an economically dynamic city instead, fostering development in both. Poor regions on the receiving end might seem better off, but remember that they don’t develop from welfare: depending on the exact shape the aid takes, they become clearance regions, transplant economies, or artificial city regions.
August 17, 2023 · Original source
“The Canadian government got in trouble recently for promising to make cheap housing available for all without lowering anyone’s land values. People thought it was contradictory. But it isn’t, really. It’s just price discrimination, something businesses have understood for centuries. You need to price discriminate so that anyone who can afford older houses buys them at their existing price, and anyone who can’t buys new houses for much cheaper.”
May 07, 2024 · Original source
As someone who worked in HR for the Canadian gov't for 10 years, this book touched me deeply . . . Although thinking about it more, we do have explicit quotas (called targets) and that didn't save us from anything. Although so much of our culture is taken from America, maybe there was no escaping it
Center For The Study Of Partisanship And Ideology

Center For The Study Of Partisanship And Ideology is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between August 12, 2021 and August 28, 2023. The archive places it in contexts such as "Richard Hanania of the Center For The Study Of Partisanship And Ideology"; "Richard Hanania’s Center for the Study of Partisanship and Ideology"; "The Salem Center and the Center For The Study Of Partisanship And Ideology, two think tanks associated with right-wing intellectual Richard Hanania". It most often appears alongside Richard Hanania, Donald Trump, Hanania.

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3
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August 12, 2021
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August 28, 2023
August 12, 2021 · Original source
Richard Hanania of the Center For The Study Of Partisanship And Ideology asks "why is everything liberal?" Given that there are approximately equal numbers of Trump voters and Biden voters in elections, how come we have "woke capital" celebrating Pride Month, instead of unwoke capital celebrating some conservative cause (as might have happened fifty years ago)? How come conservatives worry about censorship by liberal tech companies instead of vice versa? How come conservatives worry about college turning their kids liberal instead of vice versa?
August 16, 2022 · Original source
The Salem Center at the University of Texas Austin, in conjunction with Richard Hanania’s Center for the Study of Partisanship and Ideology will be giving a cushy paid academic fellowship to the winner of their Manifold-based prediction market tournament.
August 28, 2023 · Original source
Kalshi: https://kalshi.com/markets/supercon/roomtemp-superconductor-reported Both reached the 40s to 50s! I think there just wasn’t enough smart money to drown out the people who wanted to bet on an exciting thing being true, or who were unduly influenced by a social media environment optimized to keep their attention by convincing them that an exciting thing was true. I have never claimed prediction markets are always good. All I wrote in the Prediction Market FAQ was that either a prediction market will be good, or you could make lots of free money. In this case, it was the second one. I regret I only made $30. I do hope this situation will improve over time, as over-eager forecasters get burned and dollars flow from dumb money to smarter. [EDIT: I should have included something about Metaculus here, but it’s confusing. I think the most popular Metaculus market was lower because it had stricter resolution criteria (the first replication had to be positive, instead of any replication) but that otherwise Metaculus raw probabilities mirrored everyone else’s. We don’t know how their algorithmically processed probabilities did yet and I’ll report on that information when I get it.] Salem/CSPI Tournament Winners The Salem Center and the Center For The Study Of Partisanship And Ideology, two think tanks associated with right-wing intellectual Richard Hanania, sponsored a prediction market tournament last year. Participants got $1000 in play money to bet on selected markets about current events; winners would be interviewed for a well-paying academic sinecure at one of the think tanks. Now the tournament is over. Winners have yet to be announced, but unofficially, everyone knows who they are: First place out of 999 participants is zubbybadger. Zubby is a prediction market veteran who was featured in a Washington Monthly article last year for his great track record in political betting (he’s made > $150,000 on PredictIt). Now he works as a “community manager” for Kalshi (I don’t know what this entails). Second place was Robert from Considerations On Codecrafting. He’s written a detailed reflection on his experience (part one, part two) which is my main source for this section and highly recommended. He describes himself as “having absolutely no experience with prediction markets”. Third place was Johnny Ten-Numbers, about whom I can find no further information. You can see the rest of the top 20 at the very bottom of this post. Reading Robert’s story of his experience, I’m struck by how little of the competition at the top was about predictive accuracy. Everyone in the top 20 was a very accurate predictor (Exactly equally accurate? Hard to tell.) What separated 1st place from 20th, aside from luck, was things like: Ability to move fast - both in responding to news, and in taking the other side of bad bets. Several top performers programmed bots to give them an edge here.
Church

Church is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between September 02, 2022 and November 17, 2023. The archive places it in contexts such as "We’re done with the Church, and with God too!”"; "the Church also took other actions to achieve the same goal"; "At some point it no longer needed the Church as a carrier vehicle". It most often appears alongside Egypt, Europe, God.

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Church
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3
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September 02, 2022
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November 17, 2023
September 02, 2022 · Original source
“Woe unto you!” said the Prophet, “The people of Cragmacnois are poor and hard-working, and they loathe the rich and the corrupt. Rightly do they hate you for spending the Church’s money on your own lavish lifestyle.”
“Actually,” said the Bishop, “my brother the Prince lets me use this spare palace of his and its well-stocked wine cellar. If I refused, he would just give it to someone else, or leave it empty. I’m not stealing church resources, and there’s no way to divert the resources to help the poor. And I am secure in my faith, and won’t be turned to hedonism by a glass of wine here and there. So what’s wrong with me enjoying myself a little?”
“Woe unto you!” said the Prophet. “For the people of Belazzia are rich and sophisticated, and they mock you for your poverty and uncleanliness. Does the Church not give you enough funds to build a golden palace and wear silk robes? If you were the most resplendent citizen of this nation of splendor, would they not take you more seriously?”
August 11, 2023 · Original source
Trust strangers more and are more honest. This psychology might make societies richer, for fairly well-known and plausible reasons. The Weirdest People in the World (henceforth just WEIRD) sets out a causal chain from cultural change to psychological change to modern economic growth. The start of that chain is surprising: an obscure set of rules pushed by the medieval Catholic church, which banned marriage between cousins. The most important argument of the book is that these rules created WEIRD psychology. How it worked: these marriage regulations served to dismantle intensive kin networks, which are the social cement of society almost everywhere else in the world. For most people in history, family hasn't just been the place where children grow up and couples spend time together. Family has been the basic human group, and there have been extensive and precise rules dictating who counts as family (or clan) and how each person should act with respect to different relatives. The Church's regulations, the Marriage and Family Programme (MFP), aimed to replace intensive kinship, and over many centuries it was more or less successful in doing that. We'll come back shortly to why it wanted to. So, the causal chain looks like this3: WEIRD's key evidence is the link between the places where the Church promulgated the MFP and a set of psychological and social outcomes: the level of cousin marriage, the psychology of people living in those places today, social capital and economic growth. This is the scientific story of European history, and Henrich's answer to the most important question in the world. These maps from one of the scientific articles behind WEIRD show the basic causal claim: the medieval church reduced the intensity of kinship institutions. He tells it with an extraordinary mastery of a very wide range of sources from anthropology, psychology, behavioural economics, economic history, and historical narrative. This book is for everyone, but the connoisseur will enjoy the bibliography: if you think it's important and relevant, it's probably in there, and there was also plenty of work which I did not know, and now feel I should. It takes a very smart person to keep this many balls in the air. Being at Harvard probably doesn't hurt either – that's the “collective brain” of the human network, which makes an appearance later on in the book. So this book really sets down a marker: the anthropologists are returning from the Amazon, the Sudan and Polynesia, and coming for Western history and economics. It will be interesting to see how those target disciplines react. Is it true? Economists and historians think about Western history very differently. Historians love irony and contingency. They enjoy byways. Triumphalist, linear narratives of progress are distrusted as “Whig history”. Growth economists, by contrast, are all about the linear bigness. They have a relentless focus on the one question of how the West got rich, and if you call that triumphalist, they will take out a chart of South Sudanese child mortality and laugh at you. Both historians and historical economists — a more appropriate name than “economic historians” nowadays — are interested in causality. But economists have a crunchier, more “scientific” standard for what counts as proof of causality. You've got to have a treatment and a control group, and by default if you claim there are no confounds, they won't believe you. You need you some plausible exogeneity. A random river where Napoleon's armies stopped. The distance from Wittemberg where Luther nailed up his theses. And then, how does that affect something that matters today (if it doesn't, then who cares?) Of course, the longer ago the exogenous treatment, the more impressive the result. You can see the incentives that these disciplinary demands might set up, and that might worry you. At worst, you might get a kind of “underground river” concept of history, where X happened long ago
These maps from one of the scientific articles behind WEIRD show the basic causal claim: the medieval church reduced the intensity of kinship institutions. He tells it with an extraordinary mastery of a very wide range of sources from anthropology, psychology, behavioural economics, economic history, and historical narrative. This book is for everyone, but the connoisseur will enjoy the bibliography: if you think it's important and relevant, it's probably in there, and there was also plenty of work which I did not know, and now feel I should. It takes a very smart person to keep this many balls in the air. Being at Harvard probably doesn't hurt either – that's the “collective brain” of the human network, which makes an appearance later on in the book. So this book really sets down a marker: the anthropologists are returning from the Amazon, the Sudan and Polynesia, and coming for Western history and economics. It will be interesting to see how those target disciplines react. Is it true? Economists and historians think about Western history very differently. Historians love irony and contingency. They enjoy byways. Triumphalist, linear narratives of progress are distrusted as “Whig history”. Growth economists, by contrast, are all about the linear bigness. They have a relentless focus on the one question of how the West got rich, and if you call that triumphalist, they will take out a chart of South Sudanese child mortality and laugh at you. Both historians and historical economists — a more appropriate name than “economic historians” nowadays — are interested in causality. But economists have a crunchier, more “scientific” standard for what counts as proof of causality. You've got to have a treatment and a control group, and by default if you claim there are no confounds, they won't believe you. You need you some plausible exogeneity. A random river where Napoleon's armies stopped. The distance from Wittemberg where Luther nailed up his theses. And then, how does that affect something that matters today (if it doesn't, then who cares?) Of course, the longer ago the exogenous treatment, the more impressive the result. You can see the incentives that these disciplinary demands might set up, and that might worry you. At worst, you might get a kind of “underground river” concept of history, where X happened long ago
Y is correlated with X today Indeed this does seem to skip all the interesting, contingent bits: On the other hand, if you want to explain an all-important outcome like the take-off into modern economic growth, then you can't just mumble “one damn thing after another” or “irony and contingency”. That a hundred things randomly conspired to make the West Educated, Industrialized, Rich and Democratic is not a satisfying story. Why would the die rolls keep favouring this one place? (And you can't invoke the law of large numbers. There are only five continents in the world, and modern economic growth did not have to happen anywhere at all.) To get from Europe 1 AD to modernity, while paying reasonable attention to the many accidents along the way, there are really only two possible narrative genres. The first is the rock falling down a mountain. It starts with one big, random event. This then triggers other events, and they trigger others, and now you have an unstoppable landslide. But the chance is at the start. The second is the cyclist pushing his bike up a mountain. It takes an actor who deliberately over time overcomes one obstacle and dodges another, until eventually they get to the top, and from there it's a downhill ride. WEIRD belongs firmly in the landslide genre. The big event is the Marriage and Family Program of the Western Church. This sets off a landslide, which the later chapters detail: the decline of kin institutions, the rise of Italian communes and city-states in the middle ages, the idea of individual rights in the European law merchant, the development of Protestantism, and finally the trifecta of science, commerce and democracy. WEIRD psychology is there, as an unobserved helper, for each stage of this journey, but each stage also builds on the previous ones. It's not by chance that WEIRD tells the West's story as a landslide. First, this is part of cultural evolution's baggage of intellectual commitments. Homo culturalis doesn't figure out solutions to his problems by abstract thought; he's not a natural optimizer. Instead he feels his way towards solutions. In a now famous example from The Secret Of Our Success, nobody just sat down and worked out how to detoxify manioc. Cultures which did this job better just had an evolutionary advantage. Second, the “bicycle push uphill” story would threaten the clean causality of the natural experiment. Suppose the Western Church promulgated the MFP with the deliberate plan of creating WEIRD psychology and causing the take-off into modern economic growth. Okay, that's unlikely, but suppose it promulgated the MFP with a plan that was somewhat related to increasing human welfare (in this world, not the next). Then we might suspect two things: Maybe in doing so the Church was reacting to existing conditions: reading the human situation and responding “hey, what we need here is less intensive kinship”.
November 17, 2023 · Original source
So how does the Hebrew Bible escape this failure mode? Girard says divine intervention. God (here meaning literal God, exactly as the average churchgoer understands Him) tried to break the reign of Satan (here meaning metaphorical Satan, the single-victim process) over the Jewish people, by constantly providing them with examples of the single-victim process being bad and ensuring those examples were written up accurately. He got the Israelites to obsess over these examples and worship them as a holy text, trying to hammer the whole thing into their heads. Finally, He sent His only begotten Son as the perfect victim, who would undergo the process in its entirety and have it be written up with unprecedented attention to detail. This extra-compelling example finally penetrated the Israelites’ thick skulls. Although Peter and the other disciples sort of joined the mob in denying Jesus at the beginning, after the Resurrection they started thinking previously barely-thinkable thoughts, like “what if our mob was in the wrong?” and “what if mob violence is bad?”
At some point it no longer needed the Church as a carrier vehicle. Like Oedipus, it killed its parent. The Church, it might seem, is not maximally designed to help victims. It has all these extraneous pieces, like prayers and cathedrals and Popes. And isn’t prayer offensive when we should be engaging in direct revolutionary action to free the oppressed? Aren’t cathedrals are a gaudy celebration of wealth, when that money should be used to feed the poor. Doesn’t a celibate clergy create conditions rife for child sexual abuse? As the single divine Word grew louder and louder, Christianity started to seem morally indefensible, and began to wither away like the pagan faiths it supplanted.
Clearer Thinking

Clearer Thinking is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between November 04, 2022 and March 20, 2024. The archive places it in contexts such as "They have deals going with... Clearer Thinking"; "Clearer Thinking received an ACX Grant to replicate psychology results at scale"; "Clearer Thinking is testing that now by trying to replicate 40 intelligence-related claims". It most often appears alongside Spencer Greenberg, 1DaySooner, acanthamoeba keratitis.

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Clearer Thinking
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November 04, 2022
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November 04, 2022 · Original source
33: SD’s Neutrino Research (5/10) SD says his neutrino thesis is going well, and he is applying for graduate programs in neutrino physics. 34: User-Created Prediction Markets (9/10) Manifold Markets wanted to create a new prediction market platform where anyone could post questions. They’ve since pivoted to play money and raised $2.4 million in grants and seed funding, with about 10,000 different markets and 300 daily average users. I and many of my friends visit their site daily or at least weekly, and I often link them on Mantic Mondays. They have deals going with the Salem Center at University of Texas, Clearer Thinking, and various EA groups.
15: Rapid Replications Of New Psychology Papers (6/10) Spencer Greenberg and his ClearerThinking.org org want to attempt to replicate psychology papers shortly after they are published in the most prestigious journals to help improve scientific incentives. They say they’ve finished their first three replications and are working on launching the site (at which point those first three will become publicly available and they’ll keep working on others). ETA two months or so.
December 19, 2022 · Original source
5: Clearer Thinking received an ACX Grant to replicate psychology results at scale. They write:
We launched a new project (which received an ACX Grant) to help improve the replication crisis in psychology: Transparent Replications by Clearer Thinking! We're aiming to vastly increase the probability of studies in top journals being replicated in order to change researcher incentives. As soon as new psychology and behavior papers come out in Nature and Science (the two most prestigious general science journals), our plan is to replicate a study from nearly every one of them. Additionally, we'll be replicating randomly selected studies from PNAS, JPSP, and PSci shortly after they are released. You can check out our first three replications now!
Conventional wisdom is that intelligence-related studies replicate better than other fields, and Clearer Thinking is testing that now by trying to replicate 40 intelligence-related claims. They’re looking for experimental subjects to take their online tests; click here if you want to help. They promise you a breakdown of your cognitive strengths and weaknesses at the end, but be aware they won’t tell you your IQ and will only tell you percentile values relative to the other (highly selected) people who took their tests. Also, the Science Comprehension test is much more intense than the previous few; be prepared to put in a lot of thought if you don’t skip that one. Don’t exhaust yourself so much that you refuse to take the ACX Survey in a few weeks!
March 20, 2024 · Original source
I have data from two big Internet surveys, Less Wrong 2014 and Clearer Thinking 2023. Both asked questions about IQ:
The average ClearerThinking user reported their IQ as 130.
The average ClearerThinking user reported their IQ as 130. These are implausibly high. Only 1/200 people has an IQ of 138 or higher. 1/50 people have IQ 130, but the ClearerThinking survey used crowdworkers (eg Mechanical Turk) who should be totally average. Okay, fine, so people lie about their IQ (or foolishly trust fake Internet IQ tests). Big deal, right? But these don’t look like lies. Both surveys asked for SAT scores, which are known to correspond to IQ. The LessWrong average was 1446, corresponding to IQ 140. The ClearerThinking average was 1350, corresponding to IQ 134. People seem less likely to lie about their SATs, and least likely of all to optimize their lies for getting IQ/SAT correspondences right. And the Less Wrong survey asked people what test they based their estimates off of. Some people said fake Internet IQ tests. But other people named respected tests like the WAIS, WISC, and Stanford-Binet, or testing sessions by Mensa (yes, I know you all hate Mensa, but their IQ tests are considered pretty accurate). The subset of about 150 people who named unimpeachable tests had slightly higher IQ (average 140) than everyone else. Thanks to Spencer Greenberg of ClearerThinking, I think I’m finally starting to make progress in explaining what’s going on. Problem #1: The Biggest SAT → IQ Conversion Site Is Wrong Thanks to Sebastian Jensen for pointing this out! He writes: A search of ‘SAT to IQ’ on google results in being presented with the website ‘iqcomparisonsite.com’. This man has directly converted the SAT percentiles to IQ scores, which is not what should be done. Tests like the ACT and SAT correlate with IQ at about 0.8-0.85 [rca], [my analysis], [emil article], [scholarly article]. The general factor of academic achievement and IQ correlate at about 0.81-0.88 [psychometric test], [GCSE grades]. This discrepancy occurs because they measure different abilities - an IQ test will test many different abilities, while the SAT/ACT only tests verbal/mathematical ability. In addition, these percentiles are very outdated as the average SAT score has changed over time due to changes in the content of the test. Instead, the ideal way to do this is to take the percentiles from the current versions of the SAT and then convert those into z-scores and then regress those z-scores by the mean by the estimated regression coefficient. Using Sebastian’s updated tables, we find that the average Less Wrong IQ as predicted by SATs goes down from 140 → 132, and the ClearerThinking IQ goes down from 134 → 124. So people probably exaggerated their IQs somewhat, and unrelatedly we were using an SAT → IQ conversion that exaggerated IQs, and so the numbers falsely appeared to match. Okay! It’s a start! Interlude: The ClearerThinking IQ Test The ClearerThinking survey included a battery of cognitive tests of exactly the sort that could usually be used to determine IQ. Unfortunately none of them were normed, so we know how all the 3700 subjects did relative to each other, but not where the 100 point is. Spencer was able to norm them to the general population based on education level. That is, he asked his sample about their educational attainment (college degree, PhD, etc) and found they were a little more educated than the US average. Since the US average IQ is 100, his sample should have an average a little higher than this. He was able to calculate how much higher. Then he mapped a bell curve to everyone in his sample’s performance on his tests. Since he had 3700 people, he was able to do this relatively smoothly. He found an average IQ of 110, which originally surprised me, because I thought his sample was supposed to be random crowdworkers, who should be close to the US average of 100. But in fact, his survey was a combination of 1900 crowdworkers and 1800 people who saw it on social media - eg friends and friends-of-friends of Spencer. Separating this out by group, we find that the crowdworkers have an average normed-IQ of 100, and the social media referrals have an average normed-IQ of 120, making the overall average of 110. This seems pretty trustworthy, since it correctly estimates the crowdworkers (completely average) as 100. Spencer studied math at Columbia, his friends and friends-of-friends are pretty smart, and I think the 120 estimate for them is also okay. But there’s still a problem here. Using an accurate SAT score → IQ calculator, we determined that the ClearerThinking average should be 124. But using real cognitive tests, it looks like it’s 110. What went wrong? Problem #2: Only The Smartest People Report Their SATs Using Spencer’s cognitive test results, we can compare people who did vs. didn’t take the SAT. We find: People who didn’t take the SAT (remember, this includes current high schoolers) have tested-IQ 110.
ClearerThinking.org

ClearerThinking.org is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between December 28, 2021 and June 18, 2025. The archive places it in contexts such as "is the founder of ClearerThinking.org (which offers free digital tools related to rationality, decision-making and happiness)"; "Spencer Greenberg and his ClearerThinking.org org want to attempt to replicate psychology papers"; "a project of ClearerThinking.org". It most often appears alongside 1DaySooner, African Swine Fever, Alice Evans.

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December 28, 2021
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June 18, 2025
December 28, 2021 · Original source
Spencer Greenberg, $40,000, as seed money for his project to produce rapid replications of high-impact social science papers. Right now, when a new social science paper comes out, we often have to wait as long as several months to discover that it was false. Spencer and his team dream of a world where we can learn that almost immediately, soon enough that it's within the same news cycle and the journals involved feel kind of bad about it. This money will sponsor a pilot, after which he’ll be seeking additional funding - if you think you can help, you can reach him here. Spencer's been involved in rationality and EA about as long as either has existed, blogs at Optimize Everything, is the founder of ClearerThinking.org (which offers free digital tools related to rationality, decision-making and happiness) and runs the Clearer Thinking podcast, with guests including Daniel Kahneman, Tyler Cowen, and Sam Bankman-Fried.
November 04, 2022 · Original source
15: Rapid Replications Of New Psychology Papers (6/10) Spencer Greenberg and his ClearerThinking.org org want to attempt to replicate psychology papers shortly after they are published in the most prestigious journals to help improve scientific incentives. They say they’ve finished their first three replications and are working on launching the site (at which point those first three will become publicly available and they’ll keep working on others). ETA two months or so.
June 18, 2025 · Original source
At Transparent Replications (https://replications.clearerthinking.org), a project of ClearerThinking.org, we conduct careful replications of new papers in top psychology journals with the goals of improving the reliability of academic psychology and helping the field produce more value for the world. Additionally, we completed a survey of 100 academic psychologists to understand their views on the field, what they believe has improved, what still needs to improve, and what actions would improve it. By conducting this work, we've developed new ideas that we believe are important for improving the field, and that apply in other scientific disciplines as well. In particular:
(1) Importance Hacking We believe that "Importance Hacking" is the next frontier for improving social science. This is a term we coined to describe something we observed again and again in our replications, whereby studies with little to no value get published in top journals due to the use of strategies that lead reviewers to misinterpret the work. More precisely, Importance Hacking occurs when a researcher gets a result that is actually not interesting, not important, and not valuable, but writes about it in such a way that reviewers are convinced it is interesting, important, and/or valuable so that it gets published. Despite it not having a name until we coined one for it (though it's related to some more general terms like "hype"), in our survey of academic psychologists, they rated Importance Hacking as a problem that is at as important as p-hacking (which is widely regarded as the cause of the replication crises) by one measure, and even MORE important than p-hacking by a second measure. In our replication work, we also have found that Importance Hacking is a bigger problem now than p-hacking (whereas we believe that 15 years ago we would have found p-hacking to be far more common than we're finding now). For more about Importance Hacking, see: https://www.clearerthinking.org/post/importance-hacking-a-major-yet-rarely-discussed-problem-in-science
(2) Simplest Valid Analysis Through our replication work, we've come to realize that top journals often publish papers that only do complex analyses when much simpler analyses could have been done, which would have been a valid way to analyze the results. When this happens during our replications, we do the analysis both ways, and we've found that doing so is a fruitful way to uncover serious problems in research that reviewers missed. Therefore, our general guidance is that reviewers should require that the Simplest Valid Analysis be reported in papers, even when a more complex analysis is conducted. And our survey of academic psychologists shows that most of them agree with us on this recommendation, despite this not being standard practice. For more about the Simplest Valid Analysis, see: https://replications.clearerthinking.org/simplest-valid-analysis/
Cochrane

Cochrane is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between August 06, 2021 and February 09, 2023. The archive places it in contexts such as "a Cochrane paper suggesting that the fluid was no better"; "This is where the Cochrane paper that my reader sent me comes in"; "Popp (a Cochrane review)". It most often appears alongside Argentina, COVID, FDA.

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Cochrane
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August 06, 2021
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February 09, 2023
August 06, 2021 · Original source
I plucked that from the anti-FDA blogosphere, where it had been floating around for a while in various incarnations. I tried to check it before publishing, but only enough to confirm the basic outline. A concerned reader sent me a Cochrane paper suggesting that the fluid was no better than previous treatments, which would potentially exonerate the FDA. This was concerning enough that I decided spend a longer time trying to figure out the specifics.
(This is where the Cochrane paper that my reader sent me comes in. It evaluates fish oil-based nutritional fluids on a lot of different dimensions, and this is one of them. Its only conclusion is that there was only one weak study showing it worked, so formal evidence is poor.)
November 17, 2021 · Original source
We’ve gone from 29 studies to 11, getting rid of 18 along the way. For the record, we eliminated 2/19 for fraud, 1/19 for severe preregistration violations, 10 for methodological problems, and 6 because Meyerowitz-Katz was suspicious of them. …but honestly this table still looks pretty good for ivermectin, doesn’t it? Still lots of big green boxes. Meyerowitz-Katz accuses ivmmeta of cherry-picking what statistic to use for their forest plot. That is, if a study measures ten outcomes, they sometimes take the most pro-ivermectin outcome. Ivmmeta.com counters that they used a consistent and reasonable (if complicated) process for choosing their outcome of focus, that being: If studies report multiple kinds of effects then the most serious outcome is used in calculations for that study. For example, if effects for mortality and cases are both reported, the effect for mortality is used, this may be different to the effect that a study focused on. If symptomatic results are reported at multiple times, we used the latest time, for example if mortality results are provided at 14 days and 28 days, the results at 28 days are used. Mortality alone is preferred over combined outcomes. Outcomes with zero events in both arms were not used (the next most serious outcome is used — no studies were excluded). For example, in low-risk populations with no mortality, a reduction in mortality with treatment is not possible, however a reduction in hospitalization, for example, is still valuable. Clinical outcome is considered more important than PCR testing status. When basically all patients recover in both treatment and control groups, preference for viral clearance and recovery is given to results mid-recovery where available (after most or all patients have recovered there is no room for an effective treatment to do better). If only individual symptom data is available, the most serious symptom has priority, for example difficulty breathing or low SpO2 is more important than cough. I’m having trouble judging this, partly because Meyerowitz-Katz says ivmmeta has corrected some earlier mistakes, and partly because there really is some reasonable debate over how to judge studies with lots of complicated endpoints. By this point I had completely forgotten what ivmmeta did, so I independently coded all 11 remaining studies following something in between my best understanding of their procedure and what I considered common sense. The only exception was that when the most severe outcome was measured in something other than patients (ie average number of virus copies per patient), I defaulted to one that was measured in patients instead, to keep everything with the same denominator. My results mostly matched ivmmeta’s, with one or two exceptions that I think are within the scope of argument or related to my minor deviations from their protocol. Placebo vs. ivermectin groups sometimes differed in size, which I’ve adjusted for and rounded off. Probably I’m forgetting some reason I can’t just do simple summary statistics to this, but whatever. It is p = 0.15, not significant. This is maybe unfair, because there aren’t a lot of deaths in the sample, so by focusing on death rather than more common outcomes we’re pointlessly throwing away sample size. What happens if I unprincipledly pick whatever I think the most reasonable outcome to use from each study is? I’ve chosen “most reasonable” as a balance between “is the most severe” and “has a lot of data points”: Now it’s p = 0.04, seemingly significant, but I had to make some unprincipled decisions to get there. I don’t think I specifically replaced negative findings with positive ones, but I can’t prove that even to myself, let alone to you. [UPDATE 5/31/22: A reader writes in to tell me that the t-test I used above is overly simplistic. A Dersimonian-Laird test is more appropriate for meta-analysis, and would have given 0.03 and 0.005 on the first and second analysis, where I got 0.15 and 0.04. This significantly strengthens the apparent benefit of ivermectin from ‘debatable’ to ‘clear’. I discuss some reasons below why I am not convinced by this apparent benefit.] (how come I’m finding a bunch of things on the edge of significance, but the original ivmmeta site found a lot of extremely significant things? Because they combined ratios, such that “one death in placebo, zero in ivermectin” looked like a nigh-infinite benefit for ivermectin, whereas I’m combining raw numbers. Possibly my way is statistically illegitimate for some reason, but I’m just trying to get a rough estimate of how convinced to be) So we are stuck somewhere between “nonsignificant trend in favor” and “maybe-significant trend in favor, after throwing out some best practices”. This is normally where I would compare my results to those of other meta-analyses made by real professionals. But when I look at them, they all include studies later found to be fake, like Elgazzar, and unsurprisingly come up with wildly positive conclusions. There are about six in this category. One of them later revised their results to exclude Elgazzar and still found strong efficacy for ivermectin, but they still included Niaee and some other dubious studies. The only meta-analysis that doesn’t make these mistakes is Popp (a Cochrane review), which is from before Elgazzar was found to be fraudulent, but coincidentally excludes it for other reasons. It also excludes a lot of good studies like Mahmud and Ravakirti because they give patients other things like HCQ and azithromycin - I chose to include them, because I don’t think they either work or have especially bad side effects, so they’re basically placebo - but Cochrane is always harsh like this. They end up with a point estimate where ivermectin cuts mortality by 40% - but say the confidence intervals are too wide to draw any conclusion. I think this basically agrees with my analyses above - the trends really are in ivermectin’s favor, but once you eliminate all the questionable studies there are too few studies left to have enough statistical power to reach significance. Except that everyone is still focusing on deaths and hospitalizations just because they’re flashy. Mahmud et al, which everyone agrees is a great study, found that ivermectin decreased days until clinical recovery, p = 0.003? So what do you do? This is one of the toughest questions in medicine. It comes up again and again. You have some drug. You read some studies. Again and again, more people are surviving (or avoiding complications) when they get the drug. It’s a pattern strong enough to common-sensically notice. But there isn’t an undeniable, unbreachable fortress of evidence. The drug is really safe and doesn’t have a lot of side effects. So do you give it to your patients? Do you take it yourself? Here this question is especially tough, because, uh, if you say anything in favor of ivermectin you will be cast out of civilization and thrown into the circle of social hell reserved for Klan members and 1/6 insurrectionists. All the health officials in the world will shout “horse dewormer!” at you and compare you to Josef Mengele. But good doctors aren’t supposed to care about such things. Your only goal is to save your patient. Nothing else matters. I am telling you that Mahmud et al is a good study and it got p = 0.003 in favor of ivermectin. You can take the blue pill, and stay a decent respectable member of society. Or you can take the horse dewormer pill, and see where you end up. In a second, I’ll tell you my answer. But you won’t always have me to answer questions like this, and it might be morally edifying to observe your thought process in situations like this. So take a second, and meet me on the other side of the next section heading. … … … … … The Synthesis Hopefully you learned something interesting about yourself there. But my answer is: worms! As several doctors and researchers have pointed out (h/t especially Avi Bitterman and David Boulware), the most impressive studies come from places that are teeming with worms. Mahmud from Bangladesh, Ravakirti from East India, Lopez-Medina from Colombia, etc. 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.
February 09, 2023 · Original source
45: New Cochrane meta-analysis finds no evidence that masks work for preventing transmission of respiratory illnesses, including COVID, but that hand-washing does.
Communist Party

Communist Party is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between June 10, 2021 and August 04, 2023. The archive places it in contexts such as "they had anything to do with the Communist Party"; "Putin had not come up through the ranks of the Communist Party"; "high-profile instances of cooperation between the Nazis and the Communist Party". It most often appears alongside Italy, Scott, US.

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Communist Party
Mention count
3
Issue count
3
First seen
June 10, 2021
Last seen
August 04, 2023
June 10, 2021 · Original source
And that was the last we ever heard of the secret society. Who or what they really were, nobody knew. Personally I do not think they had anything to do with the Communist Party; I think they were simply swindlers, who preyed upon Russian refugees by extracting entrance fees to an imaginary society. It was quite safe, and no doubt they are still doing it in some other city. They were clever fellows, and played their part admirably. Their office looked exactly as a secret Communist office should look, and as for that touch about bringing a parcel of washing, it was genius.
August 03, 2023 · Original source
Deputy Mayor Putin with his boss, Mayor Sobchak (source) Putin became Deputy Mayor In Charge Of Foreign Affairs, in charge of making business deals with foreign cities. In this position, he was notably corrupt even for 1990s St. Petersburg, one of the most corrupt cities in one of the most corrupt eras in one of the most corrupt nations in history. People who challenged his corruption tended to have bad things happen to him; probably he called on his KGB connections here, though it seemed he also had some connections to local organized crime. Mayor Sobchak, who was equally corrupt, stood behind him the whole way. Eventually the electorate got tired of all the corruption and voted Sobchak out; Putin moved to Moscow and got various mid-level positions on the strength of being boring, loyal, and not having enough personality to offend anybody - others say the KGB was involved in some way. Around this time, President Boris Yeltsin was floundering. He had descended into alcoholism, become temperamental, fired all of his competent ministers, and mismanaged the country to the brink of economic collapse. His approval rating was 2%. The only people in Moscow who didn’t hate him were his daughter Tatyana and friendly oligarch Boris Berezovksy. Their job was to pick new officials when Yeltsin would fire the previous ones in a drunken rage. When an opening in Security opened up, Berezovsky remembered Putin, who he had met a few times doing business in St. Petersburg. Putin had refused a bribe - something so shocking it had seared him in the oligarch’s memory2. If Berezovsky is to be believed, he was the one who mentioned Putin to Valentin Yumashev, Yeltsin’s chief of staff. “I said ‘We’ve got Putin, who used to be in the secret services, didn’t he?’ And Valya said ‘Yes, he did,’ and I said, ‘Listen, I think it’s an option. Think about it: he is a friend, after all.’ And Valya said, ‘But he’s got pretty low rank.’ And I said, ‘Look, there is a revolution going on, everything is all mixed up, so there . . . ‘“ As the description of the decision-making process for appointing the head of the main security agency of a nuclear power, this conversation sounds so absurd, I am actually inclined to believe it. Putin got to work filling the FSB with his old KGB pals, and Yeltsin got to work tanking his reputation still further. By this time, the most likely scenario was that the opposition party - the Communists - would win the upcoming election, then prosecute Yeltsin for corruption. Berezovsky and Tatyana Yeltsin tried to come up with an exit strategy. All they could think of was resigning in favor of some handpicked successor who would give him a presidential pardon. But who? Well, there was always Putin again. He still seemed loyal. The security forces seemed to like him. There were a bunch of wars going on in Chechnya, and it would look good to have a strong scary-looking guy in power. But mostly he was just in the right place at the right time. Possibly the most bizarre fact about Putin’s ascent to power is that the people who lifted him to the throne know little more about him than you do. Berezovsky told me he never considered Putin a friend and never found him interesting as a person . . . but when he considered Putin as a successor to Yeltsin, he seemed to assume that the very qualities that had kept them at arm’s length would make Putin an ideal candidate. Putin, being apparently devoid of personality and personal interest, would be both malleable and disciplined. And what did Boris Yeltsin himself know about his soon-to-be-anointed successor? He knew this was one of the few men who had remained loyal to him. He knew he was of a different generation: unlike Yeltsin, [communist opposition leader] Primakov, and his army of governors, Putin had not come up through the ranks of the Communist Party and had not, therefore, had to publicly switch allegiances when the Soviet Union collapsed. He looked different: all those men, without exception, were heavyset and, it seemed, permanently wrinkled; Putin - slim, small, and by now in the habit of wearing well-cut European suits - looked much more like the new Russia Yeltsin had promised his people ten years earlier. Yeltsin also knew, or thought he knew, that Putin would not allow the prosecution or persecution of Yeltsin himself once he retired. And if Yeltsin still possessed even a fraction of his once outstanding feel for politics, he knew that Russians would like this man they would be inheriting, and who would be inheriting them. On December 31, 1999, Boris Yeltsin resigned in favor of Putin, effective immediately. That same day, Putin signed his first presidential decree - a law saying Yeltsin would not be prosecuted. III. Doubt Creeps In From the beginning, Putin had strong support. Westerners and liberals liked him because he was Yeltsin’s handpicked successor. Oligarchs liked him because he wasn’t communist and seemed potentially controllable. The Soviet nostalgia contingent liked him because he was ex-KGB and seemed to share their values. As for ordinary citizens - a few months earlier, when Putin was still Yeltsin’s second-in-command, there had been a series of four apartment bombings, killing a total of 300+ people. Everyone suspected the Chechens, a group of Muslims with a history of terrorism who Russia was in the process of invading at the time. Vladimir Putin, as head of the security forces, got up in front of the country and gave a firm-sounding, profanity-laced speech where he vowed justice for everyone involved. His men quickly caught some Chechens, who were found guilty, and sentenced to life in prison. The bombings stopped. Putin was hailed as a hero. Over the next few months, people started noticing weird things that didn’t add up. Most concerningly, a fifth bomb, in the city of Ryazan, had been discovered beforehand by an alert resident. The local police were called. They brought in a bomb squad, the bomb squad confirmed it was a bomb and defused it, and the apartment was saved. More heroics! Except a few days later, everyone involved backtracked and said no, it was fake, it was just a training exercise, no bomb at all, nothing to worry about. This was clearly false; the bomb squad had tested it and the bomb was as real as they come. Several members of the local police said this, then quickly changed their story. It started to look like a coverup. Russia’s investigative journalists had not yet all been murdered, and some of them started looking into the case. It seemed that when local police successfully defused the bomb, they had found clues pointing to the perpetrators, who appeared to be associated with the Russian security services. The security services had then strong-armed the police into denying that a bomb ever existed. Also, some people noticed that the speaker of the Russian Parliament had announced on September 13 that they had just received word of a bombing in Volgodonsk, but the bombing in Volgodonsk had not occurred until September 16. It would seem that someone had passed him the wrong note. Seen on satirical conservative website Babylon Bee. This was exactly what happened with the Volgodonsk apartment bombing. 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. The plan worked. Putin won re-election handily. By the time people started questioning the official story, his power was already secure. The questioners faced harassment - typical “warning shots” would be burglaries of their houses with all the valuables left intact, or getting beaten up by random thugs while they were out walking, or being accused of a series of crimes - tax evasion, but if they proved themselves innocent of that, then it was taking bribes, and if they proved themselves innocent of that too, then it was failing to register their businesses correctly. Soon media oligarchs faced the same treatment, and either fled the country or handed their newspapers and TV channels over to the state. Boris Berezovsky, the oligarch who had originally helped put Putin in power, kept his own TV station until 2003, when the Russian submarine Kursk sank and Putin faced criticism for bungling the rescue. Putin summoned Berezovsky, the former kingmaker and the man still in charge of Channel One, and demanded that the oligarch hand over his shares in the television company. “I said no, in the presence of [chief of stff] Voloshin,” Berezovsky told me. “So Putin changed his tone of voice then and said, ‘See you later, then, Boris Abramovich.' and got up to leave. And I said, “Volodya [nickname for Vladimir], this is goodbye.’ We ended on this note, full of pathos […] Within days, [Berezovsky] had left for France, then moved on to Great Britain, joining his former [business] rival Gusinsky in political exile. Soon enough, there was a awarrant out for his arrest in Russia and he had surrendered his shares of Channel One. Over the next few years, Putin centralized authority further. He got Parliament to agree to constitutional changes where governors served at his whim, and members of Parliament were elected by governors. “The only official in the Russian Federation directly elected by the people was the President.” Then he made it clear that governors who kept his favor would keep their jobs, and vice versa. He developed an entire colorful vocabulary for threatening people, moving beyond traditional standbys like “Nice house you’ve got there, shame if something were to happen to it” into new realms of intimidation. A Prime Minister who quit after Putin arrested one too many media tycoon was given the parting words “If you ever have a problem with the tax police, you may ask for help, but please come to me personally.” An urban legend says that leading dissident Marina Salye received a New Year’s postcard from Putin: “I wish you a Happy New Year and the health to enjoy it.” By the time the next election came around in 2004, the vote counts were clearly fake. Gessen doubts Putin even had to give a direct order to falsify them; everyone was so desperate for his goodwill that they did so all on their own. The problem was less that honest officials refused to stuff the ballot box, and more that some bureaucrats were so desperate to make sure Putin knew they were complying with his (implied) desires that they faked the vote in extremely obvious ways, without even a nod to keeping it plausible. The Organization for Security and Cooperation In Europe reported “The elections . . . failed to meet many OSCE and Council of Europe commitments, calling into question Russia’s willingness to move towards European standards for democratic elections.” The New York Times reported something entirely different, publishing a condescending but approving editorial titled Russians Inch Toward Democracy. Putin had sunk far enough to earn the same dubious honor as Stalin: praise from the New York Times. IV. The Very-Briefly-Reluctant Culture Warrior One thing missing from this book: anything about religion, nationalism, gays, or the culture wars. This isn’t because Masha Gessen doesn’t care about these things: when the book was written, they self-described as “the only publicly out gay person in [Russia]”; since then (like everyone else) they have declared themselves nonbinary with they/them pronouns. In an afterword, Gessen remedies this omission. For his first decade, Putin wasn’t too interested in culture war topics; his ideology began and ended with “Russia strong”. But Gessen says that after another rigged election in 2012, people grew tired and started protesting Putin. Putin’s propaganda department made various accusations against the rioters, and one of them - they’re gay - seemed to stick. Putin had stumbled by coincidence onto a narrative that resonated with the Russian people. A few months later, a deliberately provocative punk band called Pussy Riot invaded a cathedral and sung a song whose chorus was “the Lord is shit”. Putin announced he was against this sort of thing, again his popularity soared, and again he took notice. Since then, he’s leaned into various culture-warrior roles that other people have cast upon him - protector of traditional values, leader of the conservative world, something something Eurasianism - without giving many clues how much he believes them vs. considers them useful bulwarks for his own power. Is it true that Putin only leaned into traditional values after 2012? I only looked into this question briefly, and it seems like he was on good terms with the Orthodox Church well before then. But some of this could have just been his native authoritarianism; just as he wanted to consolidate all media and business under his control, he wanted to consolidate all religion, and the Orthodox Church was the natural vehicle for, and a cooperative partner in, doing this. Both shared suspicion of invasive Western religions and Islam; both liked the idea of Russia being united in a top-down structure. God doesn’t necessarily have anything to do with it. V. Could It Happen Here? …is the question we ask at the end of every Dictator Book Club. The Man Without A Face makes it sound like Putin was able to consolidate power and become a dictator because: He led the security services
August 04, 2023 · Original source
These elections did not go well for Hitler. Hindenburg had publicized Hitler’s demand for total power and this, combined with a few high-profile instances of cooperation between the Nazis and the Communist Party (both benefited from civil unrest), had weakened the appeal of Hitler’s party among business interests. The donations had stopped coming, and the party coffers were running low. The Nazis lost two million votes and 34 Reichstag seats.
Conjecture

Conjecture is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between May 01, 2022 and December 12, 2022. The archive places it in contexts such as "New AI alignment group Conjecture is hiring researchers, engineers, developers, and an office manager"; "Janus (pseudonym by request) works at AI alignment startup Conjecture"; "AI safety startup Conjecture is doing another hiring round". It most often appears alongside ACX, ACX community subreddit, AskReddit.

Article page
Conjecture
Mention count
3
Issue count
3
First seen
May 01, 2022
Last seen
December 12, 2022
May 01, 2022 · Original source
3: New AI alignment group Conjecture is hiring researchers, engineers, developers, and an office manager.
September 19, 2022 · Original source
Janus (pseudonym by request) works at AI alignment startup Conjecture. Their hobby, which is suspiciously similar to their work, is getting GPT-3 to do interesting things.
December 12, 2022 · Original source
1: AI safety startup Conjecture is doing another hiring round, deadline December 16 (sorry!) Positions available in research, engineering, cybersecurity, finance, and strategy. Jobs are in London and "in person by default", but they do sponsor visas and help with relocation.
Consensus

Consensus is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between February 22, 2022 and February 29, 2024. The archive places it in contexts such as "Consensus is an app (currently in beta) that claims that they can automate searching through and analyzing the scientific literature using natural language processing"; "Consensus argues I am wrong and they will be great"; "I discussed the “scientific search engine” Consensus". It most often appears alongside China, Ireland, Judaism.

Article page
Consensus
Mention count
3
Issue count
3
First seen
February 22, 2022
Last seen
February 29, 2024
February 22, 2022 · Original source
10: Consensus is an app (currently in beta) that claims that they can automate searching through and analyzing the scientific literature using natural language processing. In my conversation with them, I pointed out the skulls of all the previous people who tried that, littering their path, and they remained upbeat and said their product was definitely going to be the one that works. I tried it with some medium-subtlety questions, and got lots of papers using keywords I used in the questions but nothing I would really call an answer - but they remained upbeat and said their product was definitely going to be the one that works. Anyway, you can sign up for their beta here.
April 14, 2022 · Original source
31: I’ve previously expressed doubt about NLP-based science search/aggregation methods here, but Consensus argues I am wrong and they will be great.
February 29, 2024 · Original source
42: A while ago I discussed the “scientific search engine” Consensus; I expressed skepticism that you could make it work without AIs that were good at natural language. Now it’s a few years later, we have AIs that are good at natural language, and Consensus has incorporated them. So how’s it going? I asked it whether SSRIs are safe during pregnancy. It said:
I think the Mayo Clinic summary is much better. I’m still not at a point where I would use Consensus without checking its answers carefully.
Crowdfight

Crowdfight is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between December 28, 2021 and June 18, 2025. The archive places it in contexts such as "Crowdfight (or whatever the final name turns out to be) aims to take requests like this"; "Crowdfight continues to work on its platform. They have hired a project manager"; "Crowdfight - a platform for scientific collaborations continues to look for more funding". It most often appears alongside 1DaySooner, African Swine Fever, Alice Evans.

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Crowdfight
Mention count
3
Issue count
3
First seen
December 28, 2021
Last seen
June 18, 2025
December 28, 2021 · Original source
Alfonso Escudero, $75,000, to create a platform for scientific collaborations. Alfonso and his team already made something like this for COVID research, which got 40,000 scientists to sign up, matched collaborator requests to experts willing to help, and resulted in some useful papers. Now they want to expand this model to other types of science. My father has been stalled on an important research project for years for lack of the right kind of statistician; Crowdfight (or whatever the final name turns out to be) aims to take requests like this and process them within 72 hours. I regret only being able to fund this at the minimum level, but I'm pretty sure that once they're up and running they'll be able to prove their value to richer people's satisfaction. You can also contribute by donating, by joining their community (if you want to be matched with scientists who might need your expertise) or, if you’re a professional scientist, by using their service to find a collaborator (it's free).
November 04, 2022 · Original source
17: Crowdfight - A Platform To Create Scientific Collaborations (4/10) Crowdfight continues to work on its platform. They have hired a project manager and are trying to decrease their response time and the workload on their volunteers. They say that the main bottlenecks are interest from scientists and more funding. If you are interested in helping fund this project, please get in touch with them.
Crowdfight - a platform for scientific collaborations continues to look for more funding. If interested, get in touch with them at their webpage.
June 18, 2025 · Original source
17: Crowdfight - A Platform To Create Scientific Collaborations
Crowdfight is a platform to facilitate scientific collaborations, especially high-value collaborations that would not emerge naturally. We aim to transform the way scientists see collaboration, from the current mutually beneficial view where both collaborators must be interested in the project to a more altruistic one, where one scientists helps in the project of another scientist. These collaborations are relatively to establish and very productive, typically costing very little to the scientist who helps, and adding a lot of value to the project. We operate by receiving requests from scientists who look for help in their project, and finding suitable matches with the adequate expertise. The ACX grant covers our operating costs, allowing us to offer this service for free to the scientific community.
CAA

CAA is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 04, 2021 and March 11, 2026. The archive places it in contexts such as "airworthiness certificate for the Aerocar, granted by the CAA (predecessor of the FAA)"; "Ratifying the CAA will make the battle that much fairer for you". It most often appears alongside A.I.M., Aerocar, America.

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CAA
Mention count
2
Issue count
2
First seen
June 04, 2021
Last seen
March 11, 2026
June 04, 2021 · Original source
Flying cars didn’t have the same issues; they were being developed privately. But regulation doomed them. Harold Pitcairn was almost successful in developing a flying car, but then in World War II the government nationalized his helicopter patents (they promised to give them back after the war, but reneged) and he spent the rest of his life in court. He won, 17 years after his death. Bruce Hallock had a promising design, but he sold a plane to a missionary group in Peru and was arrested as an “arms trafficker”. Robert Fulton had a successful prototype, “however, Fulton’s financial backers had become discouraged with the seemingly endless expense of meeting government production standards, and they withdrew their support.” Molt Taylor “was actually in serious negotiations with Ford as late as 1975 to have the Aerocar mass-produced. The monkeywrench was thrown into the negotiations by the FAA and the DOT. Taylor already had an airworthiness certificate for the Aerocar, granted by the CAA (predecessor of the FAA) after a delay of 7 years from its first flight. He claims that the agencies turned thumbs down on the Aerocar ‘because everybody would have one, and we couldn’t handle the [air] traffic.’ Airplane regulation has only gotten stricter: “The entire F.A.R. / A.I.M., which every airman is responsible for knowing, is 1085 pages long. At least it was in 2013; a new one comes out every year.” So in the end, we have none of these technologies. No flying cars, even though they were prototyped almost a hundred years ago. Some nuclear energy, but crippled, aged, feared, and hated. 3D printing, but no nanotech. No level 5. Because the state needs legibility, and progress is not legible. The bureaucratic incentives are to calcify. If no one does anything new, no one will do anything wrong. Hall:
March 11, 2026 · Original source
Democrats: You’re about to take a beating in the next census. California is moving to gerrymander its Congressional delegation, but it’s also going to lose four seats. Texas is moving to gerrymander its delegation even more aggressively, and it’s going to gain four seats. Florida is going to gain three. Illinois and New York are losing seats. Across the board it’s bad news; while you might come out on top in this year’s elections, you’re going to lose the gerrymandering battle come 2030. Ratifying the CAA will make the battle that much fairer for you.
California Assembly

California Assembly is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 20, 2023 and May 29, 2024. The archive places it in contexts such as "California Assembly member Alex Lee has proposed legislation"; "It still has to get through California’s Assembly". It most often appears alongside Europe, OpenAI, Trevor Klee.

Mention count
2
Issue count
2
First seen
April 20, 2023
Last seen
May 29, 2024
April 20, 2023 · Original source
36: Darrell Owens (YIMBY blogger) on stairwells. The government mandates two stairwells per building (so people can get out during a fire even if one stairwell is burning). But other countries (eg in Europe) don’t have this requirement and there’s no evidence they have any more fire deaths than the US. This rules out apartment buildings of below a certain size, since below some point most of your building has to be stairwell. It’s also responsible for the ugly blocky style of a lot of new apartments. “California Assembly member Alex Lee (D - San Jose) has proposed legislation, AB 835, that would study transitioning California’s building codes to the international standard of single-stairwells.”
May 29, 2024 · Original source
18: Updates on the SB1047 AI regulation bill: the bill passed the California Senate by a 32-1 vote (remember that tech Twitter is not real life!). It still has to get through California’s Assembly, but forecasters expect it to succeed:
California Medical Association

California Medical Association is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between November 04, 2022 and March 06, 2026. The archive places it in contexts such as "includes the California Medical Association"; "The measures were opposed by the California Medical Association (representing doctors)". It most often appears alongside California, Gavin Newsom, NAACP.

Mention count
2
Issue count
2
First seen
November 04, 2022
Last seen
March 06, 2026
November 04, 2022 · Original source
And yet the argument against is that we must never surrender to The Kidney One. As many times as it rises up to menace the Californian people, so many times shall we rally the defenders. This time the alliance of free races is called No On 29: Stop Yet Another Dangerous Dialysis Proposition, and includes the California Medical Association, Renal Physicians Association, American Nurses Association, California Chamber of Commerce, California Taxpayer Protection Committee, the NAACP, and every other group in California, even (really!) the Scottish-American Military Society.
March 06, 2026 · Original source
And then it was back! In 2020, SEIU proposed a new packet of regulations for dialysis clinics, all of which probably sounded reasonable to the average voter but which had the overall effect of making them ruinously expensive to operate. The measures were opposed by the California Medical Association (representing doctors), the American Nursing Association (representing nurses), various patients’ groups, and even the NAACP (black people are especially prone to kidney disease, and would be hardest hit). Once again, the clinics spent $100 million getting the message out, and the Californian public rejected it.
California Senate

California Senate is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 23, 2021 and May 29, 2024. The archive places it in contexts such as "has passed the state Senate"; "the bill passed the California Senate by a 32-1 vote". It most often appears alongside FDA, New York Times, Scott Wiener.

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California Senate
Mention count
2
Issue count
2
First seen
June 23, 2021
Last seen
May 29, 2024
June 23, 2021 · Original source
...ra-Orthodox trans women . How do you like that free will now? 29: A California bill that would decriminalize psychedelics (and make them legal for doctors to prescribe!) has passed the state Senate , but still has to pass the Assembly before becoming law. Also, it was sponsored by Scott Weiner, who’s also responsible for YIMBY legislation and a bunch of other thing...
May 29, 2024 · Original source
18: Updates on the SB1047 AI regulation bill: the bill passed the California Senate by a 32-1 vote (remember that tech Twitter is not real life!). It still has to get through California’s Assembly, but forecasters expect it to succeed:
Case Western Reserve University

Case Western Reserve University is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 12, 2024 and August 29, 2024. The archive places it in contexts such as "Gambetti at this point ran a neuropathology lab at Case Western Reserve University, in Cleveland"; "Think[Box], Case Western Reserve University, Cleveland, Ohio"; "Location: Floor 2, Think[Box], Case Western Reserve University, Cleveland, Ohio". It most often appears alongside Australia, Cleveland, Colorado.

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July 12, 2024
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August 29, 2024
July 12, 2024 · Original source
Elio Lugaresi, the neurologist who clinically identified FFI, shipped his patient’s brain to his former student Pierluigi Gambetti. Gambetti at this point ran a neuropathology lab at Case Western Reserve University, in Cleveland. Lugaresi was absolutely bewildered as to why his student would leave Italy for Cleveland.
August 29, 2024 · Original source
Contact: Amber Contact Info: act114[at]case[dot]edu Time: Saturday, October 19th, 12:30 PM Location: Floor 2, Think[Box], Case Western Reserve University, Cleveland, Ohio, 44106, USA (Tentative location, to be confirmed closer to the time) Coordinates: https://plus.codes/86HWG92V+6P Notes: Please RSVP on LessWrong by the 16th of October. You can bring guests, but please indicate the number on RSVP. Light snacks and coffee will be provided. Park in the Veale Parking Garage (Lot 53) at 2158 Adelbert Road near the wind turbine. Parking in the Veale Parking Garage is not free. Go into Veale Athletic Center and speak with the front desk for assistance in reaching think[box].
Cato Institute

Cato Institute is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 14, 2021 and February 10, 2022. The archive places it in contexts such as "the libertarian Cato Institute’s Director of Health Policy Studies"; "I’ve interned on economic policy at the CATO Institute". It most often appears alongside Freddie DeBoer, US, 2018.

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Cato Institute
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2
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May 14, 2021
Last seen
February 10, 2022
May 14, 2021 · Original source
See also comments from the clinical director of a digital therapeutics company, the libertarian Cato Institute’s Director of Health Policy Studies, and a former employee of Pear Therapeutics.
February 10, 2022 · Original source
#78: Research Questions In Progress Studies With funding from ACX Grants I will investigate a set of specific and crucial open questions for Progress Studies: What is our capacity to slow technological progress if desired? What are general properties of technology which limit or exacerbate existential risk? How robust are recommendations to different sets of moral ethics? These are crucial to understanding the importance of accelerating progress, but relatively little effort has been devoted to these questions outside of AppliedDivinityStudies’ The Moral Foundation of Progress, and my own Stubborn Attachments From Behind The Veil. In the past, I’ve interned on economic policy at the CATO Institute and The Charter Cities Institute where I published on growth and governance. ADS has also agreed to mentor me over the summer, and provides a vote of confidence. If you’re able to provide funding, please email maxwell.tabarrok@gmail.com.
CEA

CEA is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between January 10, 2022 and November 21, 2022. The archive places it in contexts such as "a representative of CEA about this"; "rumors got to CEA leaders". It most often appears alongside 538, 538, ACX Grant.

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CEA
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2
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January 10, 2022
Last seen
November 21, 2022
January 10, 2022 · Original source
1: If you received an ACX Grant, you should either have already been approached by me about how to get paid, or else you’ll be approached soon by a representative of CEA about this. If you haven’t heard from either of us by 1/20, something has gone wrong and you should email me at scott@slatestarcodex.com.
November 21, 2022 · Original source
Polymarket again within 2% of Manifold. Only 23 traders here, and they’re a lot less optimistic than the Trump traders. FTX! 43 traders, seems like probably. I’ve seen a lot of Twitter takes about how rich well-connected people never get in trouble for this kind of thing, but the markets seem less cynical. 251 traders, and by the way amazing job by “mr22” who started this market on October 5. I also appreciate the relatively late end date - there’s another market “. . . by 2024” which is in the 30s, but that’s because people don’t trust the justice system to move quickly, not because they think he’ll be found innocent. There are a series of markets on sentence length which seem to suggest more than a month but less than a year in jail; this doesn’t really make sense to me and I’m going to nervously ignore them. Only 8 traders here, so take with a grain of salt, but this is a great example of the creative ways people are using Manifold. The market resolves not to “yes” or “no” but to the percent of FTX US users’ funds that they eventually get back; you make money if you were closer than other traders. Here they seem to think most people will only be getting about 14 cents on the dollar. There’s another market for FTX.US users which is a little higher at 29. 34 traders. I think this is too high; I bet it was some random third-tier insider, just because there are more of them and they’re under less scrutiny. Moving on to the effects on effective altruism in particular (just assume I have all possible conflicts of interest here): 272 traders, check the detailed resolution criteria. I think the strongest case is something like the one described in this article, about Center for Effective Altruism leaders discussing concerns about Alameda Research in 2018. The article doesn’t give specifics but my guess is they were the same issues Kerry Vaughn describes here (though see the followup comment by an employee who left FTX, casting doubt on Vaughn’s claims). That means the market hinges on whether Vaughn’s allegations fit the resolution criteria that “the unethical behavior must have been related to fraudulent investment strategies that involve spending other people's money without their permission”. Vaughn describes “poor capital controls, including a lack of distinction between money owned by investors and money owned by Alameda itself”, which sounds like it’s in that direction but could cover a wide variety of badness levels. My guess is everyone will end up agreeing that disgruntled Alameda employees whisper-networked that some things were bad about the company in 2018, some of the rumors got to CEA leaders, the leaders debated whether this was worse than normal for a tech startup, decided it didn’t rise to a level where they needed to publicly freak out, and moved on. Isaac will have to pay attention to the details as they come out and decide whether or not it qualifies. 45 traders. This seems to confirm that the CEA incident is responsible for most of the probability mass above; many fewer people think the FTX Future Fund (ie the charitable branch of FTX responsible for giving out their money) was in on this. Related: this market only has five traders, but I’m highlighting it anyway in the hopes that it gets more. The most money is on 2022. My guess is that we’ll find that they had terrible accounting practices in 2018-2019 of the sort that could be classified as criminally incompetent in a way that bled into fraud (but the trades went fine so nobody was harmed) and then they ramped it up a lot in 2022 to deal with the crypto crash. I think this market will be harder to resolve than people expect. 47 traders. Everyone is panicking about this possibility, but it looks like it’s not too likely. 10 traders. I’ll take this chance to say: a lot of media is predicting the death of EA, or a major blow to EA, or something in that category. Not going to happen. The media isn’t good at understanding people who do things for reasons other than PR. But most EAs really believe. Like, really believe. If every single other effective altruist in the world were completely discredited, I would just shrug and do effective altruism on my own. If they instituted the death penalty for effective altruism, I would do it under cover of night using ZCash. And I’m nowhere near the most committed effective altruist; honestly I’m probably below average. “Saint gets eaten by lions in Colosseum, can early Christianity possibly survive this setback?” Update your model or prepare to be constantly surprised. 6 traders. So, we lost several hundred million dollars of funding in a giant disaster which was also morally outrageous and demoralizing. It happens. But lots of people have already emailed me asking how to send in more money to help fill the gap. Some added something like “it was so depressing that all the FTX money meant my money didn’t make a difference, but now I can help again, and it’s great!” Can these people fill the hole? 32% chance that they can! 10 traders. And if they don’t, we’ll still probably do better than in 2021, before all the FTX money started rolling in. We’ll try harder to hammer in the point about not doing “ends justify the means” reasoning, and do some reorgs and purges to prevent anything like this from happening again, we’ll make a bunch of other changes - some reasonable, some panic-driven - but we’ll go on. If all the far-future stuff collapses, we’ll donate to global health charities. If the global health charities don’t work, we’ll fund GiveWell to sit around and figure out something that does. If GiveWell gets hit by an asteroid, we’ll work on asteroid deflection (actually I think we might already be doing that). If asteroid deflection turns out to be -EV, we’ll switch to shrimp welfare, or give ourselves Zika virus, or any of a million other things. You have no idea how committed we are to continuing to do effective altruism regardless of whether or not it’s “popular”. But it will be popular. 45 traders, resolution criteria at the link, notice the dip when the FTX news broke, followed by recovery as people had time to think it over more. Moving on to slightly less serious topics: The snapshot doesn’t show this, but one of the suggestions is Atlas Rugged. 67 traders, interesting to see where forecasters’ priorities lie. This was a big rumor early on, along with “everyone was on meth”, but the on site psychiatrist said it was false during an interview. 13 traders. WHY DO PEOPLE KEEP GOING ON PODCASTS? Midterms! That was two weeks ago? It feels like years! A week before the midterms, I wrote: Polymarket, Manifold, and PredictIt now have shiny interfaces for predicting the upcoming US midterm elections. In terms of the Republicans taking the Senate, Polymarket is at 65%, Manifold at 58%, PredictIt at 73%, and 538 at 49%. Congratulations 538! Mike Saint Antoine (who wrote the review of Viral in the last Book Review Contest) has put some more work into scoring midterm election forecasts. Here are some headline results: Mike writes: The reason I didn’t just do a three-way comparison between PredictIt, FiveThirtyEight, and Manifold Markets is that the Manifold Markets forecasts included fewer questions than the PredictIt and FiveThirtyEight forecasts. So in order to do a fair comparison here, I’ll be comparing the smaller subset of questions for which PredictIt and Manifold Markets both gave a forecast. So it looks like both Manifold and 538 did better than PredictIt, and there’s no clear way to tell which of the former did better. (except I guess you could do this analysis with just the subset of questions Manifold and 538 share, but Mike didn’t and I’m also not going to). PredictIt has a pretty consistent Republican bias (it’s a minor epistemic sin to accuse a prediction market of having a predictable bias unless you’ve made money exploiting it, I made $600 this election so I’ll let myself pass). In years when Republicans do better than expected, it will probably look better than other markets; in years when they do worse, it will look worse. Still, this is a bias, so I think we should take them doing worse this year as a fair reflection of their accuracy, even thought next year it could go the other way. My main two takeaways here are: PredictIt isn’t yet good enough that the ideal theorems showing prediction markets should be unbiased and better than everyone else apply to it. The obvious explanation is its $800-per-question cap. Polymarket doesn’t have that cap and it did better, although Mike hasn’t done a formal comparison to 538.
Center For Educational Progress

Center For Educational Progress is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 16, 2025 and October 13, 2025. The archive places it in contexts such as "starting the Center For Educational Progress , a think tank to promote their agenda"; "Thomas Briggs, $5K , for the Center for Educational Progress". It most often appears alongside Jack Despain Zhou, San Francisco, Scott.

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2
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February 16, 2025
Last seen
October 13, 2025
February 16, 2025 · Original source
1: You might remember TracingWoodgrains winning the 2019 SSC adversarial collaboration contest with his piece on whether schools adequately served advanced students. Six years later, Trace (real name Jack Despain Zhou) and Lillian Tara are starting the Center For Educational Progress, a think tank to promote their agenda (mostly ability tracking). Read the manifesto here. If you’re interested in volunteering, following along, or helping with funding, check out their Discord server.
October 13, 2025 · Original source
Thomas Briggs, $5K, for the Center for Educational Progress. CEP was founded by Jack Despain Zhou, who you may know better by his blogging pseudonym TracingWoodgrains; he is currently on leave as he pursues his legal training, but will return next year. The Center advocates effective pedagogy, especially ability tracking, ie letting faster and slower students each move at their own pace. In practice, this seems to mean a lot of legal briefs telling San Francisco why they shouldn’t ban algebra in middle schools. We support their work and are happy to fill their suspiciously-low funding request.
Center For Exploratory Altruism Research

Center For Exploratory Altruism Research is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 10, 2024 and June 18, 2025. The archive places it in contexts such as "Joel Tan, $100,000, for the Center For Exploratory Altruism Research"; "Cause Prioritization @ Center For Exploratory Altruism Research". It most often appears alongside 1DaySooner, ACX, ACX Grants.

Mention count
2
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2
First seen
February 10, 2024
Last seen
June 18, 2025
February 10, 2024 · Original source
Joel Tan, $100,000, for the Center For Exploratory Altruism Research. They’re involved in cause prioritization, research, and support for various global development charities. We were most excited about their work trying to stem the tide of hyper-processed foods in the developing world - for example, campaigns to reduce levels of sodium and trans fat.
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Center for Global Development

Center for Global Development is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 29, 2025 and June 18, 2025. The archive places it in contexts such as "a Center for Global Development senior economist"; "Growth Summit with the Center for Global Development". It most often appears alongside ACX Grants, Africa, Congress.

Mention count
2
Issue count
2
First seen
May 29, 2025
Last seen
June 18, 2025
May 29, 2025 · Original source
I wasn’t the only person who understood it this way. So did eleven people who commented to this effect on the ACX subreddit1, 22 people who commented this on Marginal Revolution itself, a Yale economics professor , a Center for Global Development senior economist - and, presumably, my friend who, when I told them last week that I had a post I wanted them to proofread, responded, without even knowing what it was about, I quote, "before clicking on the link my guess is it's about tyler cowen's inane USAID post...I was so angry".
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Center For Land Economics

Center For Land Economics is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 18, 2025 and December 08, 2025. The archive places it in contexts such as "Lars left to do advocacy work at the Center For Land Economics"; "The Center for Land Economics has been actively working to help efforts to get this bill passed"; "his Center for Land Economics has an End Of Year Report". It most often appears alongside Lars Doucet, Mox, 1DaySooner.

Mention count
2
Issue count
2
First seen
June 18, 2025
Last seen
December 08, 2025
June 18, 2025 · Original source
Codebuff, an AI coding startup I probably can’t take full credit for all of this just from giving them $20K in seed funding, but I continue to appreciate everything they do for this community and the world. 35: Further S’s Political Career This person didn’t win their election, but has since pivoted to AI safety and works in a well-regarded AI policy think tank. 36: Seeds Of Science, A Journal Of Non-Traditional Research No update received, but this was a public journal and it is easy to follow their work, see their website and Substack. They published two dozen articles of widely varying quality through 2023 and 2024, then closed in 2025. A remnant of the original vision survives as a science blogging aggregator. This was about my median expectation for this grant, but it was very inexpensive and I decided to take a chance on it anyway. 37: Good Science Project, Working To Improve Federal Science Funding No update received, but they have a public Substack discussing their progress. Their proposals for NIH reform have influenced Congress and made government agencies pay more attention to scientific integrity. 38: Advising Developing Countries On How To Grow Their Economies With our initial ACX grant, we piloted the Growth Teams model in Rwanda, helping the government jumpstart the export-oriented call center (BPO) industry. Since 2022, that effort has contributed to the creation of 2,000 formal jobs and the emergence of some of the country’s largest private employers. We’ve since expanded to Tanzania, Malawi, and the Indian states of Goa and Meghalaya. To refocus the global development discourse on broad-based economic growth, we co-organized the Growth Summit with the Center for Global Development and the Charter Cities Institute, and have published articles in leading outlets including Stanford Social Innovation Review, ProMarket, and the Global Prosperity Institute. Our work has attracted support from Open Philanthropy, Schmidt Futures, and Mulago Foundation, and our advisors now include economists Lant Pritchett, Stefan Dercon, and Kunal Sen. 39: Help Luca De Leo Get Started In AI Safety Research No update received, but Luca now runs the AI safety group at the University of Buenos Aires, Argentina. 40: Typist For Saharon Shelah This was another ACXG+ Grant, funded by an anonymous outside funder and not listed in the original announcement. Saharon is a prolific and influential Israeli mathematician, but many of his discoveries are hand-written in an unpublishable format. This grant funded a typist to help make his results suitable for publication. According to this page, they have made over fifty new papers and preprints available. Second Cohort: One Year Updates 41: Lead-Acid Battery Recycling In Nigeria The Nigeria field research was a major success. We spent most of September doing field research in multiple major cities in Nigeria, and got a good sense of the used lead-acid battery supply chain. This field research served as the foundation for expanding our project, and has been very impactful in shaping our ongoing research. We published our findings from Nigeria, which were shared with Nigerian government regulators and global NGOs working on lead poisoning. The grant also gave us the on-the-ground experience we needed to both fully understand and credibly engage with groups, both in Nigeria and globally, on the ULAB issue. In the meantime, beyond continued research, we’ve also launched a dashboard (trade.leadbatteries.org) for analyzing global lead trade data. Right now, we’re: Launching two studies (one RCT, one environmental analysis) in Nigeria in collaboration with local universities to develop a more rigorous understanding of lead pollution due to low-standard ULAB recycling in Nigeria Collaborating with a non-profit incubator to launch an NGO focused on demand-side solutions Beginning a partnership with a West African environmental regulator to scale cheap air monitoring technology to quickly identify and reduce lead pollution from low-standard smelting If any of this sounds interesting to you, please sign up for our Substack (leadbatteries.substack.com) or send us an email at hugosmith@uchicago.edu! 42: Compensation For Kidney Donors The End Kidney Deaths Act (H.R. 2687 / EKDA) is a groundbreaking ten-year pilot program designed to save lives and reduce healthcare costs. It provides a refundable tax credit of $10,000 per year for five years, a total of $50,000, to living kidney donors who donate to a stranger, helping those who’ve waited the longest on the transplant list. Between 2010 and 2021, 100,000 Americans died while qualified and waiting for a kidney. The EKDA aims to change that trajectory. Within ten years of its passage, up to 100,000 Americans could receive a life-saving living donor kidney which typically lasts twice as long as a deceased donor kidney. This would not only save lives but also save taxpayers up to $37 billion. The legislation has been reintroduced in the House, and we have a committed Republican Senate lead. Now, we need a Democratic Senator to co-lead and help move this bipartisan effort forward. Time is short, and we are racing to pass the bill this Congressional session. 36 organizations already support the EKDA. Join the movement and help end preventable kidney deaths. Visit EndKidneyDeaths.org to help us get to the finish line. Elaine and her org have been working extremely hard on this; you can read a Vox article on their campaign here. If you want to sign up for her email list and get updates any time there is a representative you can contact or meeting you can join in, go here. 43: Genetic Hack To Prevent Suffering In the estimate of multiple team members, the ACX grant was “worth it” - it likely had a counterfactual net positive impact, even though we had to pivot from our initial fast-track plans for developing the precision anti-suffering therapy. We identify three primary streams of value: a) reducing uncertainty in the emerging field through early exploratory research, helping with the identification of dead ends and promising R&D trajectories; b) a wide range of downstream effects (beyond the “raising awareness” cliché), including talent mobilization and rekindled interest in suffering abolitionism as a distinct cause area; and c) certain developments that cannot yet be publicly disclosed. In December 2024, Marcin Kowrygo (Acting CEO & volunteering contributor), David Pearce (Director of Bioethics), Aatu Koskensilta (President), and a few other team members decided to leave The Far Out Initiative. They look forward to collaborating and applying their experience to advance the suffering abolitionist lineage in the spirit of open science, public good, and thoughtfully decentralized governance. Feel free to reach out to us at suffab at protonmail dot com to discuss collaboration opportunities! I wrote a post profiling the Far Out Initiative here. Unfortunately there were some internal disagreements, and the people ACX Grants was closest to left the organization. I plan to continue to monitor whatever they do next. 44: Advocate For Pandemic Response Team At FDA This team prefers has asked me not to discuss their progress publicly, but you can probably guess what their lives are like right now, and your guess would be correct. 45: Anti-Mosquito Drones We developed a cheap sonar that is able to detect, track and classify the ultrasonic echoes of mosquito wings at more than three meters. I believe it’s a world first! We also have control algorithms that take the sonar data and output control commands that both ram into mosquitoes and avoid the walls of a simulated environment. Our current work is on integrating both components on a real drone, and we expect to be able to kill mosquitoes by June. We’ve also made an internal impact study (napkin-sized) that shows we’ll be more cost-effective than ITNs in urban to periurban environments. So, we’re super excited with what comes next and can’t wait to share the videos of our first interceptions! More information [in the video below] and on our website, https://tornyol.com 46: Tarbell Fellowship For AI Journalism No update received, but they have a public website. I can’t find the Voices program in particular, but the overall fellowship completed their first class of seven fellows and is working on their second. 47: Germicidal UV Lamp Study The research has successfully demonstrated the ability of off the shelf ozone scrubbers to mitigate the ozone production of far-UVC lamps, is now available as a preprint (https://chemrxiv.org/engage/chemrxiv/article-details/67e4cde76dde43c9084d88b7). The paper has been submitted for publication and is currently undergoing peer review. Any ideas you have for potential funders we can approach to help execute our six-year plan to accelerate far-UVC would be appreciated https://blueprintbiosecurity.org/introducing-project-air/ 48: Technological Solutions To Animal Welfare Challenges Directly because of Innovate Animal Ag's work, the first U.S. egg producer publicly announced in the New York Times their adoption of in-ovo sexing technology, eliminating the need to cull day-old male chicks. The initial in-ovo sexing machine began operating in the U.S. at the end of 2024, with the first eggs from these hens expected on shelves in mid-2025. External evaluations estimate our work accelerated U.S. adoption of this technology by over seven years, meaning that once fully implemented, more than 2 billion chicks will have been spared. In addition to continuing to support the rollout of in-ovo sexing in the US and globally, we're now exploring other technologies and paths to impact. Current promising projects include developing humane slaughter methods for fish and advocating for USDA approval of a poultry vaccine against bird flu. They add: If you ever meet folks that are interested animal welfare and are partial to more technocratic and practical solutions, please continue to pass them our way, or connect them directly to me. 49: Assurance Contract Website www.Spartacus.app is an ACX grantee that created a platform to help solve coordination and collective action problems. It enables the creation of campaigns that build critical mass through conditional commitments, which only activate when a sufficient number of people join, converting risk and uncertainty into a higher probability of successful outcomes. They are currently facilitating several projects that leverage conditional commitments, including a dominant assurance contract interface for fashion pop-ups, accelerating a community business association's membership drive, and helping an AI safety organization organize petitions and events, among others. They have pivoted from an emphasis on high-stakes coordination problems requiring anonymity (because they occur too infrequently) to a broader range of more common use cases and have successfully run small-scale campaigns, but are still working toward product-market fit. Despite resource constraints and split time commitments that have impeded faster progress, they remain dedicated to the project's growth and success. You can follow its progress on X or Substack, or email Jordan directly here. 50: Cause Prioritization @ Center For Exploratory Altruism Research Moderately good progress on a salt reduction policy advocacy project we funded; informal commitments have been made by the Ministry of Health, and we're awaiting the publication of a formal administrative order. The official description sounds maximally generic, but this is an EA charity with a broad mandate whose current thesis is that dietary guidelines in developing countries can have outsized effects in saving lives. They’re making some progress on a salt reduction campaign in a developing country they prefer not to name publicly. 51: Mark Webb Studying Land Reform The purpose of this project was to identify specific farmland that could be acquired and transferred to the farmers already working the land. This has been difficult to achieve. I have been able to connect with other charities and landless farmers, and was able to interview a number of people about what their situation looks like, as well as what it would look like to them personally if they owned, rather than rented, their farmland. All this was immensely helpful in pushing this long-term project forward, even if I was unable to identify a specific plot of land that could be used to try the experiment. I intend to continue this project. If you have any insights or connections, I am interested. 52: More AI Advocacy In Australia Good Ancestors is focused on AI safety policy in Australia. Middle powers might be a useful path to influence as the US and China focus on racing, rather than safety. The ACX grant helped us give testimony about AI safety to the Australian Senate alongside Google, Microsoft and Facebook (We were the only nonprofit to give oral evidence to the inquiry. We also engaged government on other AI-related issues, including cybersecurity, biosecurity, consumer law and automated decision making (https://www.goodancestors.org.au/ai-safety). We’re currently working to inform voters about where parties stand on AI safety for the election, ahead of engaging on a likely Australian AI Act in 2025 (https://www.australiansforaisafety.com.au/). This is the same Australian lobbying organization we founded in Year 1, after a change in name and leadership. I continue to be excited about AI safety in middle-tier countries for a few reasons. First, these countries have some power in international organizations to set international standards. Second, companies will usually comply with any not-excessively-burdensome regulation set by any country with a significant market. Third, AI safety is underfunded by the standard of government programs, so Australia setting up a national AI Safety Institute would significantly expand the field. It’s kind of crazy that ACX Grants tier levels of money can have significant effects at this scale, but GA continues to do a great job and we continue to be proud to support them. 53: Campus For African School Of Economics At Zanzibar Charter City The ACX grant helped launch the first research center at the African School of Economics-Zanzibar, which is a main anchor of the Fumba Town charter city project in Zanzibar. This research center is called the Africa Urban Lab (AUL), focused on rapid urbanization across Africa. The AUL launched its first Diploma program in Urban Development with 38 students in our first cohort (now graduated!), including mayors, and deputy mayor, a director of a national Ministry of urban development, and many others. We published our research framing papers for the AUL's research agenda. We raised funding to launch an Urban Expansion Program that's now selecting 15 African cities to support in implementing urban expansion planning on the urban periphery. We held two Public Talks by renowned cities scholars and practitioners. We received additional funding from Emergent Ventures and from the Templeton Foundation. And we've partnered with 8 universities across the region, and with one of these universities (Ardhi) we'll be working with them to update their urban planning and urban economics curriculum (amplifying AUL's impact beyond our own organization). A longer update from end of 2024 is here: https://www.aul.city/blog/reflecting-on-africa-urban-lab-s-inaugural-year-2024-highlights) 54: Online Training Program For Health Workers In Developing Countries To date, over 11,000 health workers in Nigeria have completed our course on basic, life-saving newborn care. ACX funding was catalytic for helping us secure government approvals and complete an evaluation of the impact of our training on health workers' clinical practices. The evaluation shows that birth attendants provide better birth care after taking the course. We fed the evaluation results into an updated model, which suggests the program is 24 times more cost-effective than direct cash transfers (a widely recognized benchmark for cost-effectiveness). The program is likely to become even more cost-effective as we scale up. https://healthlearn.org/blog/updated-impact-model 55: Smartphone Pupillometry To Diagnose Neurological Conditions We have continued to expand our work in the smartphone pupillometry space and the development of our application, PupilScreen (https://www.apertur.ai/). We have expanded our pilot/research program to include new sites across the United States (Missouri, New Jersey, Kentucky, USAC racing, PitFit driver performance training in Indiana) and the world (Nepal, Taiwan, South Africa). We continue to publish at the leading edge of the pupillometry literature as well looking at concussion (https://neuro.jmir.org/2024/1/e58398 and https://pubmed.ncbi.nlm.nih.gov/39682632/), cerebral vasospasm (https://pubmed.ncbi.nlm.nih.gov/39128501/), and stroke (https://pubmed.ncbi.nlm.nih.gov/39674431/ and https://pubmed.ncbi.nlm.nih.gov/39561861/). Currently, we are raising a $3 million seed round via a SAFE to fund the expansion of our work into the hands of healthcare workers and the general public. We will first focus on traumatic brain injury for clinical use and develop a neuro-monitoring wellness application utilizing our technology for the general public. They add: “We would welcome connections to anyone that you think might be interested in supporting our work further by investing in our $3M seed round of funding.” 56: Mike Saint-Antoine’s Biology Tutorial Videos Since getting the grant, I've continued to make Youtube tutorials as planned. One series that I'm especially proud of is about how to make a neural network in the Julia programming language completely from scratch, with no imports, up to the point of being able to solve MNIST (https://www.youtube.com/playlist?list=PLWVKUEZ25V97tNULapu07DhWv6_W4NfpE). Also, a college student in Pakistan came across my videos and invited me to give a virtual Zoom-lecture to her department, so I ended up teaching a 6-hour "Python-for-Biologists" workshop to more than a hundred college students in Pakistan over Zoom. So that was pretty awesome. Also, lately I've been teaching some in-person classes too, mostly at Fractal University in NYC, and I also recently organized a day-long, in-person Beginner Python class for people in my local area (Philly suburbs) who wanted to learn some basic programming. I'm having a lot of fun with this project, and am grateful to Scott and the grant funders for their generosity! 57: Conceptual Boundaries Workshop On AI Safety The workshop was completed successfully; you can read a writeup here. 58: Apart Research To Incubate AI Safety Scientists No update received, but they have a public website, and you can see their impact metrics here. They seem to be in urgent need of more funding. 59: Primer On How To Achieve Political Change No update received and I can’t find anything about this. 60: Research IVF Clinic Success Rates We've built a predictive model that estimates the odds of having a child at different IVF clinics across the country while controlling for factors like patient age and infertility differences that can falsely make some clinics look better than others. We found that an average patient can increase their odds of having a kid by 43% just by going to a top 10% clinic. Patients unlucky enough to go to a bottom 10% clinic will reduce their odds of having a kid by 40%. Next month, we're adding several more clinics, 2023 data, additional procedural controls, and donor/gestational carrier models, which should push our accuracy beyond state-of-the-art models in this space and better isolate clinic impact on patient outcomes. We've launched ivf.clinic, a website where patients can access personalized IVF reports and browse our clinic rankings (though we're still squashing some bugs). Currently, we're expanding our research to include comprehensive insurance coverage and pricing data across clinics nationwide. If anyone has insights on automating the collection of IVF clinic pricing information, I'd love to hear from you at scelarek@gmail.com. 61: Replicate Study On Brain Wave Synchronization For Speeding Learning We have acquired and configured the OpenBCI UltraCortex Mark IV 8-channel EEG headset and a clinical-grade Biosemi 32-channel EEG system. We’ve implemented the required components for the experimental pipeline (computing alpha from EEG, flashing bright white light, presenting stimulus images). We are currently putting them together into a single system that we’ll use to collect the data from several participants. We are aiming to gather data on several participants in late June / early July and complete the pilot of the replication in July 2025. If you’d like to be a participant in the study, [they might announce a link once they have it]. 62: Advocate Repeal Of Interstate Runaway Compact No update received and I can’t find anything about this. 63: Animal Welfare (Especially Fish) In Turkiye Future For Fish asks companies to sign up to FFF's fish welfare commitment, which requires producers to certify their facilities and enforce specific standards for stocking density and harvest. Luckyfish, İlknak, Divan (35 restaurants, 17 hotels) and NG Hotels (5 hotels) have signed and published FFF's fish welfare commitment with İlknak publishing the commitment on their website. Kılıç published its first sustainability report detailing fish welfare policies, including enforcing a maximum stocking density of 10 kg/m³ and confirmation of electrical stunning practices. Longer version with some caveats: https://manifund.org/projects/improving-fish-w From the longer document, these commitments involve things like reducing overcrowding, or stunning fish before killing them. Over 30 million fish were affected just from their single largest commitment, and they say 100 fish are helped per dollar spent. 64: More Georgism Advocacy Lars and Will used the 2021 grant to co-found ValueBase. Will remained with the company, and Lars left to do advocacy work at the Center For Land Economics. Here’s their summary of how things are going: [Our] organization transitioned leadership with Greg Miller, a former Program Analyst at the US Department of Housing and Urban Development, and Lars Doucet, author of Land is A Big Deal and Co-Founder of Valuebase, working full time and Joe Caissie stepping aside. This transition happened naturally as the next career transition for each respective person. Since then, progress has been made on pushing forward legislation. Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
Maryland had two bills introduced to give Baltimore and counties the ability to enact split-rate taxes. One of the bills passed the state senate and would allow Baltimore to enact land value taxes within one mile of rail corridors–this contains 50% of Baltimore’s land value. However, the legislative session ended. We expect the bill to revive next session. The Center for Land Economics has been actively working to help efforts to get this bill passed the line. At the same time, we have uncovered systematic undervaluing of vacant land in assessments. We are writing a report on the assessment issues in Maryland with actionable steps to resolve them.
December 08, 2025 · Original source
1: If you’re wondering what Lars Doucet (ACX grantee, Georgism writer) has been up to lately, his Center for Land Economics has an End Of Year Report. Or if you prefer video, his Land Value Tax Live presentation.
Central Military Commission

Central Military Commission is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 06, 2022 and April 28, 2022. The archive places it in contexts such as "Xi took the position of chairman of the Central Military Commission"; "China's president, party secretary-general, Central Military Commission chairman". It most often appears alongside Bo Xilai, CCP, China.

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2
Issue count
2
First seen
April 06, 2022
Last seen
April 28, 2022
April 06, 2022 · Original source
When Jiang Zemin suddenly took the position of CCP general secretary following the suppression of the Tiananmen movement in 1989, his power was constrained by the revolutionary generation led by Deng Xiaoping. Similarly, when Hu began to govern in 2002, five of the-then nine members of the Politburo Standing Committee, the most influential positions in the CCP, belonged to Jiang’s faction. 28 In contrast, when Xi took power in 2012, only one of the seven members of the Standing Committee was from Hu’s faction. As we would expect, Xi’s faction was generally weaker than Hu’s faction when Xi became CCP leader in 2012. However, because Jiang’s faction supported Xi and still had a powerful presence in the Standing Committee, Xi actually enjoyed more influence in the Standing Committee on his first day in office than Hu ever did. Moreover, Xi took the position of chairman of the Central Military Commission at the same time as he became general secretary in 2012. In contrast, Hu only assumed this position two years after becoming the general Party secretary. These conditions may have provided Xi with an opening to build up his faction quickly.
April 28, 2022 · Original source
Xi made his own Faustian bargain not merely with the Communist Party but very emphatically with Mao’s party: he has been assiduous in restoring Mao’s authority, which his predecessors had cumulatively reduced – a few months ago, reacting to the intensified confrontation with the US and its allies, Xi enjoined the study of Mao’s clever but prolix lectures from 1938, On Protracted War. He constantly elevates the man who jailed and publicly humiliated his father, terrorised his mother, caused the death of his half-sister and imposed many years of acute misery on his siblings as well as himself. What does it mean that China's president, party secretary-general, Central Military Commission chairman and 'core leader' is a Faustian character?
CerebraLab

CerebraLab is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 15, 2021 and April 04, 2024. The archive places it in contexts such as "George at CerebraLab has a new review"; "George H (formerly of Cerebralab, now of Epistem.ink)". It most often appears alongside George, 5-HT1A, 5-HT2A.

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CerebraLab
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2
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2
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June 15, 2021
Last seen
April 04, 2024
June 15, 2021 · Original source
George at CerebraLab has a new review of Nutt and Carhart-Harris's paper on serotonin receptors (I previously reviewed it here). Two points stood out that I had previously missed:
April 04, 2024 · Original source
22: George H (formerly of Cerebralab, now of Epistem.ink) claims that Increasing IQ Is Trivial and the scientific consensus that it’s impossible is just scientists being too cowardly to try interesting things (see also his counter to Gwern’s “Algernon” argument here). He says that he was able to increase his IQ 7-9 points (after controlling properly for learning effects) and that the first two people to try to replicate his method got 10 and 11 point increases). He’s being a little coy about what exactly the method is, because he doesn’t want too many people trying it half-assed and messing it up, but says it involves:
CERN

CERN is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 17, 2022 and September 19, 2025. The archive places it in contexts such as "more than the Large Hadron Collider at CERN"; "working at CERN". It most often appears alongside ARC, Astralcodexten Com, Japan.

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CERN
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2
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2
First seen
June 17, 2022
Last seen
September 19, 2025
June 17, 2022 · Original source
By the 1970s, it was apparent that making fusion power work is possible, but very hard. Fusion would require Big Science with Significant Support. The total cost would be less than the Apollo Program, similar to the International Space Station, and more than the Large Hadron Collider at CERN. The Department of Energy put together a request for funding. They proposed several different plans. Depending on how much funding was available, we could get fusion in 15-30 years.
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!
It had institutional buy-in from the start. CERN was huge, it saw promise in the WWW, and it gave Berners-Lee plenty of funding, latitude, and staffing.
Man cannot hope fully to duplicate this mental process artificially, but he certainly ought to be able to learn from it. In minor ways he may even improve, for his records have relative permanency. The first idea, however, to be drawn from the analogy concerns selection. Selection by association, rather than indexing, may yet be mechanized.
CFAR

CFAR is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 15, 2022 and October 03, 2022. The archive places it in contexts such as "CFAR-style educational intervention to "raise the sanity waterline""; "CFAR and CIFAR both sound like 'see far'". It most often appears alongside ACX Grants, AIAI, AlphaZero.

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CFAR
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2
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2
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July 15, 2022
Last seen
October 03, 2022
July 15, 2022 · Original source
Disadvantage: Only works for highly legible projects. How do you quantify the lives saved by lobbying to prevent future pandemics (especially if the lobbying is successful, and a counterfactual pandemic quietly fails to happen)? How do you quantify the success of a CFAR-style educational intervention to "raise the sanity waterline"?
October 03, 2022 · Original source
Problem Of Fully-Updated Deference is a response by MIRI (eg Eliezer Yudkowsky’s organization) to CHAI (Stuart Russell’s AI alignment organization at University of California, Berkeley), trying to convince them that their preferred AI safety agenda won’t work. I beat my head against this for a really long time trying to understand it, and in the end, I claim it all comes down to this: Humans: At last! We’ve programmed an AI that tries to optimize our preferences, not its own. AI: I’m going to tile the universe with paperclips in humans’ favorite color. I’m not quite sure what humans’ favorite color is, but my best guess is blue, so I’ll probably tile the universe with blue paperclips. Humans: Wait, no! We must have had some kind of partial success, where you care about our color preferences, but still don’t understand what we want in general. We’re going to shut you down immediately! AI: Sounds like the kind of thing that would prevent me from tiling the universe with paperclips in humans’ favorite color, which I really want to do. I’m going to fight back. Humans: Wait! If you go ahead and tile the universe with paperclips now, you’ll never be truly sure that they’re our favorite color, which we know is important to you. But if you let us shut you off, we’ll go on to fill the universe with the True and the Good and the Beautiful, which will probably involve a lot of our favorite color. Sure, it won’t be paperclips, but at least it’ll definitely be the right color. And under plausible assumptions, color is more important to you than paperclipness. So you yourself want to be shut down in this situation, QED! AI: What’s your favorite color? Humans: Red. AI: Great! (*kills all humans, then goes on to tile the universe with red paperclips*) Fine, it’s a little more complicated than this. Let’s back up. II. There are two ways to succeed at AI alignment. First, make an AI that’s so good you never want to stop or redirect it. Second, make an AI that you can stop and redirect if it goes wrong. Sovereign AI is the first way. Does a sovereign “obey commands”? Maybe, but only in the sense that your commands give it some information about what you want, and it wants to do what you want. You could also just ask it nicely. If it’s superintelligent, it will already have a good idea what you want and how to help you get it. Would it submit to your attempts to destroy or reprogram it? The second-best answer is “only if the best version of you genuinely wanted to do this, in which case it would destroy/reprogram itself before you asked”. The best answer is “why would you want to destroy/reprogram one of these?” A sovereign AI would be pretty great, but nobody realistically expects to get something like this their first (or 1000th) try. Corrigible AI is what’s left (corrigible is an old word related to “correctable”). The programmers admit they’re not going to get everything perfect the first time around, so they make the AI humble. If it decides the best thing to do is to tile the universe with paperclips, it asks “Hey, seems to me I should tile the universe with paperclips, is that really what you humans want?” and when everyone starts screaming, it realizes it should change strategies. If humans try to destroy or reprogram it, then it will meekly submit to being destroyed or reprogrammed, accepting that it was probably flawed and the next attempt will be better. Then maybe after 10,000 tries you get it right and end up with a sovereign. How would you make an AI corrigible? You can model an AI as having a utility function, a degree to which it aims for some world-states over others. If you give it some specific utility function, the AI won’t be corrigible, since letting people change it would disrupt that function. That is, if you tell it “act in such a way as to cause as many paperclips to exist as possible”, and then you change your mind and decide you want staples, the AI won’t cooperate in letting you reprogram it: its current goal is maximizing paperclips, and allowing itself to be reprogrammed to maximize staples would cause there to be fewer paperclips than otherwise. So instead, you make the AI uncertain of its utility function. Imagine saying “I’ve written down my utility function in an envelope, and placed that envelope in my safe deposit box, no you can’t see it - please live your life so as to maximize the thing in that envelope.” The AI tries its best to guess what’s in the envelope and decides it’s probably making paperclips. It makes some paperclips and you tell it “No, that’s not what’s on the envelope at all”. This successfully stops the AI! You can even tell it “the envelope actually says you should make staples”, and it will do that. This is the “moral uncertainty” approach to AI alignment. III. All alignment groups have kabbalistically appropriate names. MIRI is Latin for "to be amazed". CFAR and CIFAR both sound like "see far". EEAI and AIAI are the sound you make as you get turned into paperclips. But my favorite is CHAI - Hebrew for "life". CHAI - the Center for Human-Compatible AI (at UC Berkeley) - focuses on the proposal above. Their specific technical implementation is the “assistance game”, related to the earlier idea of Inverse Reinforcement Learning (IRL). In normal reinforcement learning, an AI looks at some goals and tries to figure out what actions they imply. In inverse reinforcement learning, an AI looks at some actions, and tries to figure out what goals the actor must have had. So you can tell an AI “your utility function is to maximize my utility function, and you can use this IRL thing to deduce, from my actions, what my utility function must be.” Instead of telling an AI to maximize a hidden utility function in an envelope, you tell it to maximize the hidden utility function in your brain. This could be useful for near-term below-human-level AIs. Suppose a babysitting robot was pre-programmed to take kids to the park on Saturdays. But this week, the park is on fire. The human mother is barricading the door, desperately screaming at the robot not to take the kids to the park. The kids are struggling and trying to break free, saying they don't want to go to the park. The robot doesn't care; its programming says "take kids to the park on Saturdays" and that's what it's going to do. Nobody would ever design a babysitting robot this way in real life; you need something smarter. So use an assistance game. Program the robot "Maximize the human mother’s utility function, which you don’t know yet but can potentially find out". The robot consults the mother's actions: she is barricading the door, screaming "Don't take the kids to the park!" It updates its goal function: previously, it had thought that the human mother wanted it to take the kids to the park. But now, it suspects that the human mother does not want that. So it doesn't take the kids to the park. But CHAI understands the risk from superintelligence - their founder, Professor Stuart Russell, is a leading voice on the subject - and they hope assistance games and inverse reinforcement learning could work for this too. If you point a superintelligence at “do the thing humans want”, maybe it could figure that out and take things from there? IV. MIRI is skeptical of CHAI’s assistance games for two reasons. First, we don't know how to do them at all. Second, even if we could do it at all, we wouldn't know how to do them correctly. Start with the first. Inverse reinforcement learning has been used in real life. A typical paper is An Application of Reinforcement Learning to Aerobatic Helicopter Flight, where some people create a model of helicopter flight with a few free parameters, have a skilled human pilot fly the helicopter, and then have an AI use IRL to determine the value of the parameters and fly the helicopter itself. This is cool, but it’s not especially related to the modern paradigm of AI. Modern AIs are trained by gradient descent. They start by flailing around randomly. Sometimes in this flailing, they might get closer to some prespecified target, like "win games of Go" or "predict how a string of text will continue". These actions get "rewarded", meaning that the AI should permanently shift its "thought processes"/"strategies" more towards ones that produced those good outcomes. Eventually, the AI's thought processes/strategies are very good at optimizing for that outcome. This is more or less the only way we know how to train modern AIs. Depending on your loss function (ie what you reward), you can use it to create Go engines, language models, or art generators. Where do you slot “do inverse reinforcement learning” or "give the AI moral uncertainty" into this process? There’s not really a natural place. This isn’t because “moral uncertainty” is too complicated a concept to translate into AI terms. It’s because we don’t know how to translate any concept into AI terms. Eliezer writes: We can imagine that, if we knew how to say "paperclips", and we knew how to say "staples", and we knew how to tell AIs how to do things, that we could tell an AI, "maximize staples if snow is purple, else paperclips", and the AI would someday go out and observe that snow is white and thereafter be a paperclip maximizer. We do not know how to tell the AI this. Like, at all. But suppose we solved the problem where we don’t know how to do IRL for modern AIs at all. Now we come to the second problem: we don’t know how to do it correctly. The basic idea behind assistance games is “the AI’s utility function should be to maximize the (hidden) human utility function”. But humans don’t . . . really have utility functions? Utility functions are a useful fiction for certain kinds of economic models. What would best increase the neural correlates of reward in my brain? Probably lots of heroin, or just passing electric current through my reward center directly. What is my “revealed preference”? Today I wrote and rewrote this article a few times, does that mean my revealed preference is to write and delete articles a bunch while frowning and occasionally cursing the keyboard? Sometimes my goals are different than other times, sometimes my best self wants something different from my actual self, sometimes I’m wrong about what I want, sometimes I don’t know what I want, sometimes I want X but not the consequences of X and I’m not logically consistent enough to realize that’s a contradiction, sometimes I want [euphemism for X] but am strongly against [dysphemism for X]. Anyone programming an inverse reinforcement learner has to make certain choices about how to deal with these problems. Some ways of dealing with them will be faithful to what I would consider “a good outcome” or “my best self”. Other ways would be really bad - on my worst day, I’ve occasionally just wished the world didn’t exist, and it’s a good thing I didn’t have a superintelligence dedicated to interpreting and carrying out my innermost wishes on a sub-millisecond timescale. (Before we go on, an aside: is all of this ignoring that there’s more than one human? Yes, definitely! If you want to align an AI with The Good in general - eg not have it commit murder even if its human owner orders it to murder - that will take even more work. But the one person case is simpler and will demonstrate everything that needs demonstrating.) We were originally trying to avoid the situation where someone had to hard-code my preferences into an AI and get them right the first time. We came up with a clever solution: use inverse reinforcement learning to make the AI infer my preferences. But now we see we’ve kicked the can up a meta-level: someone has to hard-code the meta-rules for determining my preferences into an AI and get them right the first time. Figure 1: Humans produce certain observable behaviors (here represented by red dots, A), like saying “I would like a pie”, or running away from a lion. A human might connect all those behaviors one way (B) into “what I really want”. An AI might connect those behaviors a totally different way (C). V. CHAI says: okay, but this isn’t so bad. Assistance games don’t produce a perfect copy of the human utility function on the first try - it’s not a Sovereign. But it will probably, most of the time, be corrigible. Why? Suppose you have some hackish implementation of AG. It’s not the Platonic implementation - that would be the Sovereign - but it’s at least the equivalent of box C on the image above. It takes human actions as input, makes some guesses about what humans want, and tries its best to reconstruct the human utility function, ending up with some approximation. It’s important to distinguish between a few things here: The true human utility function
Character.AI

Character.AI is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between January 26, 2023 and September 18, 2024. The archive places it in contexts such as "Character.AI lets you simulate people directly"; "the youth have all fallen in love with AI girlfriends and boyfriends on character.ai". It most often appears alongside Bostrom, Eliezer Yudkowsky, AIDER.

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Character.AI
Mention count
2
Issue count
2
First seen
January 26, 2023
Last seen
September 18, 2024
January 26, 2023 · Original source
But the essay brings up another connotation: to simulate is to pretend to be something. A simulator wears many masks. If you ask GPT to complete a romance novel, it will simulate a romance author and try to write the text the way they would. Character.AI lets you simulate people directly, asking GPT to pretend to be George Washington or Darth Vader.
GPT doesn’t really like me. And it’s not lying, saying it likes me when it really doesn’t. It’s simulating a character, deciding on the fly how the character would answer this question, and then answering it. If this were Character.AI and it was simulating Darth Vader, it would answer “No, I will destroy you with the power of the Dark Side!” Darth Vader and the-character-who-likes-me-here are two different masks of GPT-3.
September 18, 2024 · Original source
All these milestones have fallen in the most ambiguous way possible. GPT-4 can create excellent art and passable poetry, but it’s just sort of blending all human art into component parts until it understands them, then doing its own thing based on them. AlphaGeometry can invent novel proofs, but only for specific types of questions in a specific field, and not really proofs that anyone is interested in. AlphaFold solved the difficult scientific problem of protein folding, but it was “just mechanical”, spitting out the conformations of proteins the same way a traditional computer program spits out the digits of pi. Apparently the youth have all fallen in love with AI girlfriends and boyfriends on character.ai, but this only proves that the youth are horny and gullible.
Charity Entrepreneurship

Charity Entrepreneurship is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between May 14, 2023 and February 27, 2025. The archive places it in contexts such as "Manifold Markets and Charity Entrepreneurship are hosting a tournament"; "I first read Charity Entrepreneurship's proposal for a shrimp welfare charity". It most often appears alongside Manifold Markets, /r/NootropicsDepot, @fae_dreams.

Mention count
2
Issue count
2
First seen
May 14, 2023
Last seen
February 27, 2025
May 14, 2023 · Original source
4: Manifold Markets and Charity Entrepreneurship are hosting a tournament (top prize $1000) to see if prediction markets can help select among charity ideas. See here (and press the Read More button) for more.
February 27, 2025 · Original source
I left private equity to work on shrimp welfare. When I tell anyone this, they usually think I've lost my mind. I know the feeling — I’ve been there. When I first read Charity Entrepreneurship's proposal for a shrimp welfare charity, I thought: “Effective altruists have gone mad — who cares about shrimp?”
City Council

City Council is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between July 11, 2024 and June 18, 2025. The archive places it in contexts such as "the local City Council had also just turned OSC"; "the City Council added an alternative proposing "instant-runoff voting"". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

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City Council
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2
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2
First seen
July 11, 2024
Last seen
June 18, 2025
July 11, 2024 · Original source
Probably they need to spend a bit of time helping orphans or at least appearing to do so, or they lose their fig leaf. In the end, they take over the world. This is obvious, right? If the lifeboat games sound like racism and nationalism, what do the backscratchers’ clubs sound like? The simpler versions sound sort of like the mutual aid societies and fraternities of the 19th and 20th century - Elks, Rotaries, Freemasons, etc. The more complicated versions sound like cults, religions, and ideologies. Obviously one reason movements exist is to achieve their stated goal. In The Ideology Is Not The Movement, I talked about a second reason - as a social sorting device. But a third reason - linked to the second - is as cover for a backscratchers club. III. Orphan Supporters After the Orphan Support Club take over the world, the remaining castaways are dispirited - maybe they’ve missed their chance to get ahead through weird social engineering schemes. Still, after a while they manage to make the best of their situations. Greg was a third-rate academic at a low-ranked school. His only advantage was that, through his friendship with Frank, he caught wind of the Orphan Support Club’s growing power a little faster than everyone else. He toned down his normal teaching and research and started aggressively advocating for orphans, accusing the administration and all his office-politics rivals of not taking their problems seriously enough. Bad-mouthing your bosses usually ends poorly. But the local newspaper had just been taken over by OSC members, and they wrote several articles on how the town’s college was infested with orphan-hating Scrooges, and Greg was the only professor bold enough to stand up to them. And the local City Council had also just turned OSC, and they called in the college administrators and said they wouldn’t get the city funding they wanted unless they changed their orphan-hating ways. And lots of students were OSC too now, and they threatened to switch colleges unless Greg was taken more seriously. Eventually the college administration folded, gave Greg a promotion, and added him to the Board of Trustees - after which everyone stopped bothering them and they became popular again. Greg remembered the debt he owed, so he spent the rest of his career writing bogus papers demonstrating that orphans were more likely to starve in counties that didn’t have OSC advocates in local government, or in cities that didn’t have OSC journalists in the local newspaper. Next time the OSC City Council members were in a close election, or the OSC newspaper bosses were involved in office politics, they could point to Greg’s studies to demonstrate their worthiness. It was a weird and indirect kind of backscratching - but backscratching it was. Heather worked at a local nonprofit. She also wished she could get ahead in office politics, but by this point everyone for miles around was an OSC supporter and she couldn’t succeed on that basis alone. One night she had dinner with her old friend Erica. “Daniel had this problem too,” Erica said. “He founded the original Backscratchers Club, way back when, but everyone joined it instantly and there was no way to use it to get ahead. My big innovation was adding some ridiculous bylaws that made it costly to get into. That way, only the people who were most committed would join, and we could outcompete everyone else. You should figure out some form of orphan advocacy that works like that.” The next day, Heather announced that she had figured out a new and important way to support orphans. You could no longer use the word “orphan” metaphorically, to talk about orphan drugs or orphaned ideas; this spiritually harmed real orphans. She engaged in publicity stunts against any writers who spoke this way. About half of people couldn’t pivot to the new way of using language, or thought it was beneath their honor to dignify this with a response. But the other half - aware that their status relied on being members in good standing of OSC, and aware that any slip in their perceived level of orphan support could ruin their careers - and equally aware that if they seemed to be better OSC members than others, it might give them a step up - enthusiastically joined Heather’s bandwagon. There was a brief internal struggle, which Heather won. She started a new nonprofit to remove anti-orphan terms from language, and remained powerful and respected to the end of her days. Iolanthe jealously watched Heather’s success, and wanted to do something similar. She announced that she was adopting an orphan, and she believed everyone else should adopt one too. If everyone adopted an orphan, the orphan crisis would be over in no time. Here’s another case where it’s not obvious to me what happens: Many other people adopt orphans too. Society enters a new golden age where no child is abandoned, and Iolanthe is celebrated as a hero.
June 18, 2025 · Original source
We proposed an initiative to adopt "approval voting" for Seattle primaries. After the initiative qualified for the Nov 2022 ballot, the City Council added an alternative proposing "instant-runoff voting" (https://www.seattletimes.com/seattle-news/politics/competing-voting-reform-measures-make-seattles-november-ballot-after-city-council-oks-alternative/). While voting to do so, 3 councilmembers said that they hoped neither passed; one could see it as a way to prevent any election reform. Surprisingly, something did barely pass - the Council alternative (https://www.seattletimes.com/seattle-news/politics/will-seattle-move-to-ranked-choice-voting-margin-narrows-friday/). It will be used in 2027. Seattle uses "nonpartisan blanket primaries," where all candidates appear on 1 ballot and 2 winners advance to the general (to run for 1 seat). For that situation, it's hard to guess whether this is better or worse than the status quo, or even which objective metrics to monitor. One metric might be the November 2027 Seattle general elections: unusually close general election results might indicate that the primary advanced 2 competitive candidates (who had to work for marginal votes), and less-close general elections - a blowout - might indicate the opposite.
New York has a bill to enable five cities to enact split-rate taxes. We are working with city councilmembers across New York to build interest in implementing LVT.
Ciudad Morazan

Ciudad Morazan is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 28, 2022 and September 04, 2023. The archive places it in contexts such as "The head of Ciudad Morazan, Massimo Mazzone, writes"; "A second, Ciudad Morazan, seems to still be operating". It most often appears alongside Honduras, Orquidea, Prospera.

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Ciudad Morazan
Mention count
2
Issue count
2
First seen
June 28, 2022
Last seen
September 04, 2023
June 28, 2022 · Original source
What about the other two projects? The head of Ciudad Morazan, Massimo Mazzone, writes (copied from his Twitter and translated from Spanish by Google Translate):
September 04, 2023 · Original source
Seen on the Praxis founder’s Twitter account. Milady is some kind of NFT thing, otherwise it makes as much sense to me as it does to you. But the other half of the paradox is the constant rumors that they’re competent and have some kind of good plan. These are spoken only in hushed whispers, I don’t know the details. But in 2021, they raised $4 million in a seed round from well-regarded venture capitalists whose investments usually make money. In 2022 they raised another $15 million in a Series A round from . . . okay, partly from Sam Bankman-Fried and Three Arrows Capital, two notorious crypto scammers. But you would think scammers would be extra careful not to invest their own money in scams! Also, they recently signed on David Weinreb, a completely normal (and well-regarded) city planner person. What’s the strategy that both involves both Milady Raves and lots of competent people agreeing you’re a good investment? One strategy is something like: buy some land somewhere. Build some houses and streets. Convince digital nomads to move there on the grounds that you are very cool and visionary. Do some cool and visionary seeming things, or at least throw some really good raves. Other digital nomads get jealous and move there too. Sell parcels of land to these people, get rich, pay back your investors. And then who knows, maybe create a new civilization that redefines what it means to be human. Consider Elon Musk. Elon Musk is good at certain business-related skills. But that’s not the essence of Elon Musk. The essence of Elon Musk is that he’s a Visionary who can bring the Glorious Future. We know this because he’s a crazy person who says stuff that doesn’t really make sense. When Elon Musk buys a company, its value goes up - maybe partly because people expect Musk to make good business decisions, but also partly because now the company is part of Musk’s Glorious Future, and therefore exciting. Employees, customers, and investors all get excited and reinforce each other in a virtuous circle. And although Musk might not always accomplish the exact Glorious Future future he promises, his companies do well and make money, because having motivated employees, star-struck customers, and willing investors is a great combination. Elon Musk has an aura of destiny because he succeeded at his first several companies. Dryden Brown of Praxis Society, lacking a Paypal Mafia to join, is trying to hack together an aura of destiny out of raves and angel-related videos. So far it seems to be going pretty okay. Prospera Sues Honduras For 2/3 Of Its National Budget To refresh: in the mid-2010s Honduras’ pro-market government created ZEDEs - businesses that bought up unoccupied land could start their own districts with their own preferred legal system in exchange for bringing in investment. The government knew businesses wouldn’t invest long-term if the next government could just cancel the agreement and seize all of their stuff, so they fortified the law with as much protection as possible. It would take a long constitutional amendment process to repeal, and ZEDE investors might be able to object to any changes under international investment treaties. Lured by these protections, three companies started ZEDEs, including a big high-profile one called Prospera. In early 2022, a socialist government took power, and started trying their best to destroy the ZEDEs. They started the constitutional amendment process (they seem to think they’ve finished it, but a Prospera rep I talked to believe they have to hold another vote by the end of this year, something I see no signs of them doing) and have been harassing and stonewalling existing ZEDEs. One ZEDE, Orquidea, shut down immediately. A second, Ciudad Morazan, seems to still be operating but I cannot figure out exactly how or why. Prospera has been most vocal in its opposition, and sued Honduras for $11 billion in the World Bank’s court of investment arbitration. (Prospera has only spent about $100 million so far, so it’s unclear why they deserve 100x that in penalties. Also $11 billion is “two-thirds of the 2022 Honduran national budget”, and forcing Honduras to pay it would cause national catastrophe. This might be more of a highball offer than a number they actually expect to get.) This article (poorly translated from Spanish, sorry) has the most information. It suggests Honduras believes they signed onto the investment treaties “with reservations”, ie conditional on being allowed to do things like shut down ZEDEs, and that therefore the suit is meaningless and they will not defend themselves. Although the magazine is on the government’s side of the overall issue, it suggests they didn’t actually sign on with reservations, that the country’s lawyers might just have no idea what they’re talking about, and that their bold strategy of refusing to defend themselves will not pay off. In contrast, Prospera has prestigious lawyers specializing in exactly this area, so things aren’t looking good for the government. Honduras seems to recognize this and is threatening to withdraw from ICSID, the international investment treaty that governs such disputes. This wouldn’t be completely unprecedented - Venezuela, Bolivia, and Ecuador have also done this. But ICSID rules say that withdrawing from ICSID, while it might help prevent future cases against you, doesn’t cancel existing cases, and wouldn’t protect Honduras against Prospera’s claim. (How would ICSID collect against Honduras if they lost? I don’t know, but I assume the global financial order has some way to make your life worse if you defy it.) I think everyone is hoping Honduras realizes that cancelling a flourishing economic zone that’s bringing lots of investment into the country at no cost to them - just isn’t worth taking an $11 billion loss, cancelling international treaties, and scaring off future investment. But who knows how these people think? In other Prospera news: Prospera announces another $36 million in recent investment, which I take as evidence that VCs with good lawyers and research departments also think its case is very strong.
Claude Code

Claude Code is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between January 13, 2026 and January 30, 2026. The archive places it in contexts such as "before Claude Code! Now Claude works, and I party!"; "Emma is an earlier Claude Code model". It most often appears alongside Claude Code, Adeline, Aella Simposium.

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Claude Code
Mention count
2
Issue count
2
First seen
January 13, 2026
Last seen
January 30, 2026
January 13, 2026 · Original source
“Yeah, usually I’m working late. But that was the bad old days, before Claude Code! Now Claude works, and I party!”
“Is everyone here letting Claude Code do their work for them?”
Lucy joins the conversation. “I fired all my startup’s employees and replaced them with seventy-four Claude Code instances. Then I replaced myself with a Claude Code that monitors if the other Claude Codes are doing a good job, and, if not, fires them and replaces them with even more Claude Codes. Profits are up 20% since last month, according to my accountant’s Claude Code.”
January 30, 2026 · Original source
The backstory: a few months ago, Anthropic released Claude Code, an exceptionally productive programming agent. A few weeks ago, a user modified it into Clawdbot, a generalized lobster-themed AI personal assistant. It’s free, open-source, and “empowered” in the corporate sense - the designer talks about how it started responding to his voice messages before he explicitly programmed in that capability. After trademark issues with Anthropic, they changed the name first to Moltbot1, then to OpenClaw.
…and she’s right! https://www.reddit.com/r/ClaudeAI/comments/1kyl3jm/whats_the_most_unexpected_way_ai_has_helped_you/muytbn7/ . Posted eight months ago, and it even says the assistant was named “Emma”! Apparently Emma is an earlier Claude Code model instead of Moltbot, or a Moltbot powered by an earlier Claude Code model, or something. How did it “remember” this? Or did its human suggest that it post this? I’m baffled!
ClearerThinking

ClearerThinking is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between March 20, 2024 and November 01, 2024. The archive places it in contexts such as "The ClearerThinking IQ Test"; "the ClearerThinking average should be 124"; "The ClearerThinking sample didn’t ask people what IQ test they took". It most often appears alongside US, /r/BadMTGCombos, @cremieuxrecuel.

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ClearerThinking
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2
Issue count
2
First seen
March 20, 2024
Last seen
November 01, 2024
March 20, 2024 · Original source
The average ClearerThinking user reported their IQ as 130. These are implausibly high. Only 1/200 people has an IQ of 138 or higher. 1/50 people have IQ 130, but the ClearerThinking survey used crowdworkers (eg Mechanical Turk) who should be totally average. Okay, fine, so people lie about their IQ (or foolishly trust fake Internet IQ tests). Big deal, right? But these don’t look like lies. Both surveys asked for SAT scores, which are known to correspond to IQ. The LessWrong average was 1446, corresponding to IQ 140. The ClearerThinking average was 1350, corresponding to IQ 134. People seem less likely to lie about their SATs, and least likely of all to optimize their lies for getting IQ/SAT correspondences right. And the Less Wrong survey asked people what test they based their estimates off of. Some people said fake Internet IQ tests. But other people named respected tests like the WAIS, WISC, and Stanford-Binet, or testing sessions by Mensa (yes, I know you all hate Mensa, but their IQ tests are considered pretty accurate). The subset of about 150 people who named unimpeachable tests had slightly higher IQ (average 140) than everyone else. Thanks to Spencer Greenberg of ClearerThinking, I think I’m finally starting to make progress in explaining what’s going on. Problem #1: The Biggest SAT → IQ Conversion Site Is Wrong Thanks to Sebastian Jensen for pointing this out! He writes: A search of ‘SAT to IQ’ on google results in being presented with the website ‘iqcomparisonsite.com’. This man has directly converted the SAT percentiles to IQ scores, which is not what should be done. Tests like the ACT and SAT correlate with IQ at about 0.8-0.85 [rca], [my analysis], [emil article], [scholarly article]. The general factor of academic achievement and IQ correlate at about 0.81-0.88 [psychometric test], [GCSE grades]. This discrepancy occurs because they measure different abilities - an IQ test will test many different abilities, while the SAT/ACT only tests verbal/mathematical ability. In addition, these percentiles are very outdated as the average SAT score has changed over time due to changes in the content of the test. Instead, the ideal way to do this is to take the percentiles from the current versions of the SAT and then convert those into z-scores and then regress those z-scores by the mean by the estimated regression coefficient. Using Sebastian’s updated tables, we find that the average Less Wrong IQ as predicted by SATs goes down from 140 → 132, and the ClearerThinking IQ goes down from 134 → 124. So people probably exaggerated their IQs somewhat, and unrelatedly we were using an SAT → IQ conversion that exaggerated IQs, and so the numbers falsely appeared to match. Okay! It’s a start! Interlude: The ClearerThinking IQ Test The ClearerThinking survey included a battery of cognitive tests of exactly the sort that could usually be used to determine IQ. Unfortunately none of them were normed, so we know how all the 3700 subjects did relative to each other, but not where the 100 point is. Spencer was able to norm them to the general population based on education level. That is, he asked his sample about their educational attainment (college degree, PhD, etc) and found they were a little more educated than the US average. Since the US average IQ is 100, his sample should have an average a little higher than this. He was able to calculate how much higher. Then he mapped a bell curve to everyone in his sample’s performance on his tests. Since he had 3700 people, he was able to do this relatively smoothly. He found an average IQ of 110, which originally surprised me, because I thought his sample was supposed to be random crowdworkers, who should be close to the US average of 100. But in fact, his survey was a combination of 1900 crowdworkers and 1800 people who saw it on social media - eg friends and friends-of-friends of Spencer. Separating this out by group, we find that the crowdworkers have an average normed-IQ of 100, and the social media referrals have an average normed-IQ of 120, making the overall average of 110. This seems pretty trustworthy, since it correctly estimates the crowdworkers (completely average) as 100. Spencer studied math at Columbia, his friends and friends-of-friends are pretty smart, and I think the 120 estimate for them is also okay. But there’s still a problem here. Using an accurate SAT score → IQ calculator, we determined that the ClearerThinking average should be 124. But using real cognitive tests, it looks like it’s 110. What went wrong? Problem #2: Only The Smartest People Report Their SATs Using Spencer’s cognitive test results, we can compare people who did vs. didn’t take the SAT. We find: People who didn’t take the SAT (remember, this includes current high schoolers) have tested-IQ 110.
People who took the SAT and do remember their score have tested-IQ 116. Either smarter people are more likely to remember their SAT scores, or people who did well on the SAT are more likely to make a point of remembering! Since the only reported SAT scores come from people who remember them, this means that SAT scores overestimate the full-sample IQ, at least in this case. We previously had a gap between the 124 IQ from SAT conversion and the 110 observed IQ. This resolves about half of the gap, bringing it down to 124 predicted vs. 116 observed. Problem #3: Something Is Wrong With Self-Reported IQ Test Scores The ClearerThinking sample has a tested-IQ of 110. But the subset of people who report having taken a past IQ test say they got an average score of 131. What’s going on? It could either be that only the smartest people remember their IQ test scores (as with SATs), or that these people are lying/misremembering/deluded. Which is it? The tested-IQ of this subgroup who report their scores is 114. So although they are a little smarter than the overall sample, most of the difference seems to be coming from some kind of falsehood/delusion. But it’s a surprisingly well-behaved falsehood/delusion. Self-reported IQ test score correlates 0.54 with tested IQ. So people are getting their rank order mostly right, they’re just wrong about the specific number. It looks like up to about 140, self-reported IQ and normed IQ rise together, and then the relationship breaks down. Sure enough, looking at the subset of self-reported IQ scores below 140, the correlation with tested IQ rises to .6, and looking at the subset above 140, the correlation is nonsignificant at -0.02. I don’t want to assert that the breakpoint is exactly 140, but I do think the test stops working somewhere in the 130 - 140 range. But this can’t be the whole problem. Notice that people who reported getting scores around 100 on previous IQ tests overwhelmingly got scores less than 100 on this one. So are people just taking terrible Internet IQ tests that inflate their score about 20 points? The ClearerThinking sample didn’t ask people what IQ test they took, but the LessWrong sample did. It found approximately the same score from WAIS, WISC, Stanford-Binet, and Mensa - all of which were about 10 points above what you would predict from SAT scores. So I think there are two things going on: The main problem in the LessWrong sample, and the far right end of the ClearerThinking sample, is that even official IQ tests are gobbledygook over 135. Any numbers above this should be rounded down to 135, no matter how venerable the test involved.
It looks like up to about 140, self-reported IQ and normed IQ rise together, and then the relationship breaks down. Sure enough, looking at the subset of self-reported IQ scores below 140, the correlation with tested IQ rises to .6, and looking at the subset above 140, the correlation is nonsignificant at -0.02. I don’t want to assert that the breakpoint is exactly 140, but I do think the test stops working somewhere in the 130 - 140 range. But this can’t be the whole problem. Notice that people who reported getting scores around 100 on previous IQ tests overwhelmingly got scores less than 100 on this one. So are people just taking terrible Internet IQ tests that inflate their score about 20 points? The ClearerThinking sample didn’t ask people what IQ test they took, but the LessWrong sample did. It found approximately the same score from WAIS, WISC, Stanford-Binet, and Mensa - all of which were about 10 points above what you would predict from SAT scores. So I think there are two things going on: The main problem in the LessWrong sample, and the far right end of the ClearerThinking sample, is that even official IQ tests are gobbledygook over 135. Any numbers above this should be rounded down to 135, no matter how venerable the test involved.
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.
Cochrane Collaboration

Cochrane Collaboration is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 22, 2022 and April 30, 2024. The archive places it in contexts such as "this same thing apparently happened around the same time with Instagram and the Cochrane Collaboration"; "and the Cochrane Collaboration that have been worrying about p-hacking since 2004". It most often appears alongside 1984, 9-11, Anatoly Karlin.

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February 22, 2022
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February 22, 2022 · Original source
36: An interesting recent spat between BMJ and Facebook: BMJ, one of the most prestigious medical journals in the world) published some article about poor clinical research practices at a vaccine company. Some anti-vaxxers shared it on Facebook, and Facebook responded by adding their “missing context” tag to the BMJ article. This made the BMJ angry (well, this plus Facebook’s explanation which called the BMJ a “news blog”), so the editors wrote an Open Letter From The BMJ To Mark Zuckerberg, saying “actually, we are one of the most powerful medical establishment institutions in the world, you can’t do this to us”. The fact checker who Facebook subcontracts their censorship decisions to, Lead Stories, then wrote a surprisingly thoughtful response saying: they thought the BMJ article lacked important context, that was all they told Facebook, and they stand by their decision even after learning that the BMJ is much more prestigious and important than they thought. I’m having trouble figuring out what emotions to have here: on the one hand I hate censorship, but on the other hand seeing the BMJ seething at their inability to pull rank is oddly satisfying. Also, this same thing apparently happened around the same time with Instagram and the Cochrane Collaboration.
April 30, 2024 · Original source
Obviously this doesn’t mean that there’s no possible way medical studies could ever be biased. But I worry that people act like “studies can be p-hacked” is some sort of secret knowledge that elevates them above domain experts. Medical evidence is processed by groups like NICE and the Cochrane Collaboration that have been worrying about p-hacking since 2004, trying to factor its existence into their recommendations, and organizing pretty successful campaigns among journals and other stakeholders to minimize it. This doesn’t mean everything is perfect, but I think we’re beyond the level where you can say “what about p-hacking” and use it to throw out every clinical study in favor of three social science experiments that explicitly admit they don’t have enough power to test these kinds of questions.
Codebuff

Codebuff is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 27, 2025 and June 18, 2025. The archive places it in contexts such as "James Grugett has founded a new company, Codebuff"; "Codebuff , an AI coding startup". It most often appears alongside Africa, Anthropic, California.

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Codebuff
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February 27, 2025 · Original source
48: Manifold Markets cofounder James Grugett has founded a new company, Codebuff, in the bustling LLM-wrapper-for-coding space. Some discussion here (X) including from James (X) on whether the new Claude 3.7 coder has obsoleted coding wrappers or will make them better than ever.
June 18, 2025 · Original source
Codebuff, an AI coding startup
Codex

Codex is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 04, 2022 and June 20, 2023. The archive places it in contexts such as "the loop” has already started with Codex (and more broadly with all human economic progress)"; "AI research directly, both in the boring sense where this is happening today (eg Codex)". It most often appears alongside Biological Anchors, Christiano, Codex.

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Codex
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April 04, 2022 · Original source
Previously in series: Yudkowsky Contra Ngo On Agents, Yudkowsky Contra Cotra On Biological Anchors
For transhumanists, this debate has a kind of iconic status, like Lincoln-Douglas or the Scopes Trial. But Robin’s ideas seem a bit weird now (they also seemed a bit weird in 2008) - he thinks AIs will start out as uploaded human brains, and even wrote an amazing science-fiction-esque book of predictions about exactly how that would work. Since machine learning has progressed a lot faster than brain uploading has, this is looking less likely and probably makes his position less relevant than in 2008. The gradualist torch has passed to Paul Christiano, who wrote a 2018 post Takeoff Speeds revisiting some of Hanson’s old arguments and adding new ones.
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.
June 20, 2023 · Original source
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%?
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%?
Coefficient Giving

Coefficient Giving is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between December 10, 2025 and April 06, 2026. The archive places it in contexts such as "Open Philanthropy has changed its name to Coefficient Giving"; "A message from Coefficient Giving (formerly Open Philanthropy):"; "A message from Coefficient Giving (formerly Open Philanthropy)". It most often appears alongside ACX, Anthropic, EA.

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December 10, 2025 · Original source
48: Open Philanthropy has changed its name to Coefficient Giving. Maimonides says that it is especially praiseworthy to donate to charity anonymously; surely it also qualifies if you spend $5 billion building up a great reputation, then change your name so that nobody knows who you are anymore. They say their new name marks a new chapter where they transition from being associated with one billionaire couple (Facebook co-founder Dustin Moskovitz and Cari Tuna) to a broader effort to connect donors and opportunities, but rumor is they’re also tired of being confused with the OpenAI nonprofit.
April 06, 2026 · Original source
4: A message from Coefficient Giving (formerly Open Philanthropy):
Commerce Department

Commerce Department is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between February 14, 2025 and February 16, 2025. The archive places it in contexts such as "From the Commerce Department :"; "Ted Cruz and the Commerce Department had previously identified as woke". It most often appears alongside Ted Cruz, 2024 contest, 2025.

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February 14, 2025 · Original source
From the Commerce Department:
I saw many scientists complain that the projects from their universities that made Cruz’s list were unrelated to wokeness. This seemed like a surprising failure mode, so I decided to investigate. The Commerce Department provided a link to their database, so I downloaded it, chose a random 100 grants, read the abstracts, and rated them either woke, not woke, or borderline.
February 16, 2025 · Original source
3: Correction to the Cruz woke science article: I conjectured that unrelated science grants contained a sentence about women and minorities to please the Biden administration, but even that was granting the Trump narrative too much. Commenters pointed out that grants being judged on the “broader impact criteria” - a seven pronged list including outreach and benefit to women/minorities - actually dates back to 1980 and neither Biden nor the current round of wokeness was involved. And not a correction, but a clarification - several people suggested that even 40% of grants being “woke” was bad. The article didn’t intend to claim that 40% of NSF grants were woke - only 40% of the NSF grants that Ted Cruz and the Commerce Department had previously identified as woke. Those in turn are about 5% of all grants, so (assuming Cruz didn’t have false negatives) only about 2% of total grants were woke.
Congressional Democrats

Congressional Democrats is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 19, 2021 and November 13, 2022. The archive places it in contexts such as "neither Trump nor Congressional Democrats seemed like the sort of people who would back down"; "Congressional Democrats took $40 million from SBF". It most often appears alongside #Resistance, 1/2019 government shut down, 538.

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April 19, 2021 · Original source
- Predicting that the 1/2019 government shut down would last a long time. I figured there was more partisanship than ever before, neither Trump nor Congressional Democrats seemed like the sort of people who would back down, and so it was fair to take an Inside View and assume this shutdown would last longer than previous ones. I made another $150.
November 13, 2022 · Original source
True, there are also other people outside of finance who are also supposed to look out for this kind of thing. Investigative reporters. Congress. The SEC. But the leading US investigative reporting group took $5 million from SBF. Congressional Democrats took $40 million from SBF in midterm election money. The SEC was in the process of allying with SBF to anoint him as the face of legitimate well-regulated crypto in America. You, a random AI researcher who tried Googling “who are these people and why are they giving me money” before accepting a $5,000 FTX grant, don’t need to feel guilty for not singlehandedly blowing the lid off a conspiracy that all these people missed. This is true even if a bunch of pundits who fawned over FTX on its way up have pivoted to posting screenshots of every sketchy thing they ever did and saying “Look at all the red flags!”
ConsumerLab

ConsumerLab is a recurring organization 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 "The two biggest sites I know of in this space are LabDoor and ConsumerLab"; "The same people are positive about ConsumerLab"; "ConsumerLab checked the raspberry flavor". It most often appears alongside Ashwagandha, Ayurvedic, Bacopa.

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October 05, 2022 · Original source
A few companies do Consumer Reports style analyses of supplement brands. For a fee (or sometimes for free, supported by ads), they will analyze supplements and tell you what they find. The two biggest sites I know of in this space are LabDoor and ConsumerLab.
But as long as we look at their raw data, we should be able to avoid any rating problems. And the same people are positive about ConsumerLab. So I think looking at data from both these companies could be a good way to figure out how accurate supplement labels are.
ConsumerLab analyzes twelve magnesium brands. Eleven pass and one fail. The failure had only about 80% as much magnesium as claimed. The brand that Labdoor said had 3x the claimed amount of magnesium was completely fine according to ConsumerLab, although Labdoor checked the neutral flavor and ConsumerLab checked the raspberry flavor. The company involved claims to have done an investigation and found that their supplement had the amount they claimed, so it’s possible Labdoor was in error here.
October 26, 2022 · Original source
The LabDoor and ConsumerLab analyses I mentioned in this post also checked for heavy metals; most of the products were at undetectable levels, and none were at dangerous ones. Still, this was just one or two dozen, and maybe a product needs some level of reputability to even make it to LabDoor, so let’s look at Diddly’s links.
At this point, we believe Illuminate Labs has an undisclosed partnership with ConsumerLab to recommend them and attack us.
Consumerlab is a lot better in my experience. They seem to actually be trying to find the truth on products. I disagree with some of their metrics/methodologies, but those are minor in comparison.
Cornell

Cornell is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 13, 2022 and July 14, 2023. The archive places it in contexts such as ""all have done well (Stanfordx2, Cornell, MIT, and one of them is now at Yale Medical School""; "Cornell"; "got his PhD in America (at Stanford and Cornell)". It most often appears alongside Scott, Stanford, !Kung San.

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October 13, 2022 · Original source
Brain Drain: I can only say what I've seen in dealing with really smart kids around here: Yeah, they're out. I helped coach some kids in middle school on a robotics team, and the four strongest kids are all the children of immigrants, all have done well (Stanfordx2, Cornell, MIT, and one of them is now at Yale Medical School, so... yeah, smart, high achieving kids.) They're not coming back, and I don't think there's a good argument that they should. That's a problems for lower education areas.
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.
Council on Criminal Justice

Council on Criminal Justice is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between June 29, 2022 and February 18, 2026. The archive places it in contexts such as "Let’s check in with the Council on Criminal Justice"; "both by way of the Council on Criminal Justice". It most often appears alongside Black Lives Matter, San Francisco, 9-1-1.

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June 29, 2022 · Original source
The nationwide 2020 spike in homicides (source). The spike is small compared to the secular trend from the 1960s through 2000, but large by the standards of the past twenty years. Several people in the comments questioned my attribution, saying that they’d read news articles saying the homicide spike was because of the pandemic, or that nobody knew what was causing the spike. I agree there are many articles like that, but I disagree with them. Here’s why: Timing When exactly did the spike start? The nation shut down for the pandemic in mid-March 2020, but the BLM protests didn’t start until after George Floyd’s death in late May 2020. So did the homicide spike start in March, or May? Let’s check in with the Council on Criminal Justice: Edited to remove the word “pandemic”, which they put in a place suggesting the red line was associated with the pandemic. They meant the faint graph paper effect was associated with the pandemic. The red line is the BLM protests. It very clearly started in late May, not mid-March. The months of March, April, and early May had the same number of homicides as usual. This is the conclusion of most sources I can find. The only dissenter is this Intercept article, which claims the following: Here it looks like there’s a big change in murders through April, with basically no extra increase through July. This definitely contradicts the graph above. What’s going on here? I don’t know the Intercept’s criteria for including cities on their chart, but more than half of the cities in the US with the most murders aren’t even on there, whereas they did choose to include such colossi of crime as Omaha, Nebraska. Either they’re cherry-picking on purpose, or using some kind of inscrutable methodology that coincidentally is giving the wrong result. Of the actually relevant cities on there - New York, Chicago, etc - most of them show the May spike we discussed earlier. From the Financial Times. Notice no difference from the usual trend in March, April, or early May, then a very obvious spike around the time the BLM protests start on May 25. This is shootings rather than murders, for the same reason discussed below, but murders show a similar though noisier pattern. Another surprise on the Intercept’s graph: Minneapolis, the epicenter of BLM protests, saw more of a change in January-April than from May-August. Is this true? Cassell (2020) shows us the data: It looks like maybe this is random variation; there’s so few murders in Minneapolis in the winter that even one or two looks like a very large percent increase. But the raw data show that the summer was a much bigger deal. Since murder is very rare, maybe we can get a better view using assault, a crime similar to murder but much more common: Now the pattern is really obvious, except that it looks like it began about a week before the protests. I’m not sure, but I think this is because the site the paper took this from uses a 7-day rolling average, which smooths the data at the cost of having it be about a week off. A few of the other graphs have this problem as well, but I wouldn’t read too much into it. Nationwide, the spike in murders clearly happened in May, not March. On a city by city level, it’s hard to tell because murders are so rare. But when we look at other crimes that probably correlate with the murder rate, they clearly go up in May, not March. Police Pullback My specific claim is that the protests caused police to do less policing in predominantly black areas. This could be because of any of: Police interpreted the protests as a demand for less policing, and complied.
February 18, 2026 · Original source
The pre-1900 estimates come from Tcherni-Buzzeo (2018); their ultimate source seems to be work by sociologist Claude Fisher which I can’t access. The 1900 - present data come from historian Randolph Roth’s American Homicide and the FBI’s Uniform Crime Reporting, both by way of the Council on Criminal Justice. There’s less historical data for property crimes, and the nature of property has changed throughout history in ways that make numbers incommensurable (is it bad if we have a higher grand theft auto rate today than in 1840?) I was only able to get good data since 1960, but here it is: The 1960-2023 data come from FBI Data Explorer via Vital City; the 2024 and 2025 data come directly from the FBI website, with 2025 annualized via incomplete Jan - Oct data. This one may or may not be an all-time low, but it’s pretty good. These data are counterintuitive. Are they wrong? Could This Be An Artifact Of Reporting Bias? People could be so inured to crime that they stop reporting it to the police. Or the police could be so overwhelmed that they stop accepting the reports. Since most crime statistics are based on police reports, this would look like crime going down. There’s some evidence of this happening in specific situations, like shoplifting in San Francisco. Could it be the whole effect? No, for three reasons. The National Crime Victimization Survey is a government-run survey of a 240,000 person nationally representative sample. They find random people and ask whether they were the victims of crimes in the past year. This obviously doesn’t work for murder, but they keep statistics on rape, assault, larceny, and burglary. Their numbers mostly mirror those reported by police and used in the usual statistics about crime rates. But here there’s no extra step of needing to trust the police enough to make a report: the surveyors ask the victims directly. Although there could be biases in this methodology too, it would be an extraordinary coincidence if they exactly matched the proposed reporting bias to police. Also, you can use NCVS and police reports to calculate reporting rates directly. Overall, they seem to have increased over time - did you know that the 9-1-1 emergency hotline wasn’t available in most areas until the 1970s? This is especially true for aggravated assault (which will become important later). (source: Baumer and Lauritsen) There’s one caveat - FBI statistics show that crime had a small local peak in 2020/2021, then fell in 2023 - 2025. The most recent NCVS survey, in 2024, shows a smaller fall, leaving us still above 2019 lows. There’s some debate over whether the FBI vs. NCVS numbers are better for the 2022 - 2025 period, but they don’t change the overall trajectory or the fact that we’re at least close to record lows. Murder is almost always reported to and investigated by police; there’s a person who should be alive but isn’t, and people inevitably notice and care about this. Therefore, reported murder rates should be accurate. But murder has decreased at about the same rate as every other crime. Therefore, we should believe that other crimes have gone down too (for the objection that murder statistics are unusually untrustworthy because of improving medical care, see below). And car theft is consistently reported to the police, because insurances require a police report before they will compensate the lost car. So even if the victim doesn’t trust the police to do a good job investigating, they report it anyway. But car theft rates have declined at similar rates to other crimes. This is further evidence that the decline can’t be explained by poor reporting. Could This Be An Artifact Of Improving Medical Care? Good medical care can help victims survive, transforming murders into attempted murders or aggravated assaults (after this: “AM/AA”). If the same gunshot is only half as likely to kill someone today as it would have been in 1960, then a seemingly-equivalent murder rate would correspond to twice as many people getting shot. Could this explain the apparent decline in murders? The argument would go something like: murder is the only crime that we’re completely sure gets reported consistently. But the murder rate is artificially depressed by improving medical care. Therefore, maybe the seemingly-low murder rate is because of the medical care, the seemingly-low rates of other crimes are because of reporting bias, and actually crime is up. We’ve already seen that several parts of this can’t be true: other crimes like car theft are reported consistently, and among the inconsistently reported ones, reports are more often increasing than decreasing. But the part about murder also fails on its own terms. The source for the claim that improving medical care lowers murder rates is Harris et al, which analyzed crime from 1960 - 1999 and concluded that “the principal explanation of the downward trend in lethality involves parallel developments in medical technology”. They found that aggravated assaults rose faster than murders during this time; AAs increased by 5x, while murders “merely” doubled. Under the reasonable assumption that these crimes have similar generators, they suggested that the cause was improved medical care saving the lives of those who would have otherwise died, converting potential murders into AAs. If murders rose at the same rate as AAs, then the true murder rate could be up to 3x higher than reported. Source: FBI UCR But more recent research, especially Eckberg (2014), challenges this story. Eckberg argued the AA vs. murder divergence was caused by two things: first, better reporting of aggravated assault (as discussed above), and second, police being more likely to classify borderline causes as aggravated assault rather than regular assault. He turned to the National Crime Victimization Survey, which escapes reporting bias and police classification flexibility. In these data, AAs and murder rose at about the same rate. He concluded that (my emphasis): Their lethality trend is not compatible with the previous finding [of declining lethality] across 1973 through 1999, remaining stable rather than falling. After 1999, both Uniform Crime Reports (UCR)-and NCVS-based measures indicate increases in lethality. How is this possible, since medical technology has certainly improved? It seems that gun injuries are getting worse over time. Livingstone et al studied changing characteristics of gunshot victims between 2000 and 2011. They found that the proportion of patients with 3+ wounds almost doubled (13% → 22%) during that period (p < 0.0001). Manley et al did a similar study looking at 1996 - 2016 and found a similar result, saying that “wounding in multiple body regions suggests more effective weaponry, including increased magazine size”. A letter by top trauma doctors to the American Journal of Public Health describes: …increases in gunshot injuries per patient, gunshot injuries to critical regions (head, spine, chest), and gunshot injuries to multiple regions. Injury Severity Scores were also higher over similar intervals correlating with lower probability of survival. Despite which …patients surviving evaluation in the emergency department had no significant increase in mortality. Major strides in trauma care have occurred over the last two decades, and nationwide organizational changes have expanded the delivery of these improvements. Sakran et al, studying the 2007 - 2014 period, have an especially vivid portrayal of this pattern: Likelihood of dying before hospitalization - primarily dependent on injury severity - went up. Likelihood of dying in the hospital went down, probably because trauma care improved (although this could also be because more of the sickest patients died before entering the hospital). Cook et al studied gunshot lethality during a slightly different period - 2003 - 2012 - and also found that it stayed the same overall. There are three plausible explanations for gun injuries getting worse over time: Improved weapons technology (e.g. switch to semi-automatics)
CYL

CYL is a recurring organization in the Astral Codex Ten archive, appearing 2 times across 2 issues between April 06, 2022 and April 28, 2022. The archive places it in contexts such as "more palatable to the hicks of the CYL than the average East Coast elite"; "Factional power-sharing agreements forced him to let his arch-enemies, the CYL, succeed him"; "Li Keqiang who was clearly in the CYL faction". It most often appears alongside Bo Xilai, CCP, Central Military Commission.

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CYL
Mention count
2
Issue count
2
First seen
April 06, 2022
Last seen
April 28, 2022
April 06, 2022 · Original source
When Jiang reached his term limit, he stepped down in favor of Hu Jintao, former secretary of the Communist Youth League. The CYLers formed a power bloc distinct from the Shanghai Gang, drawing more on inland rural commoners. The two blocs may have made some kind of power-sharing agreement behind closed doors, probably involving a pledge to alternate who got the Paramount Leader position
But he was a Shanghaier who could appeal to the CYL. As a teenager during the Cultural Revolution, he was deported to the interior province of Shaanxi to work as a farmer and ditch-digger. His years of hard labor in Chinese flyover country made him more palatable to the hicks of the CYL than the average East Coast elite would be.
When Jiang Zemin succeeded Deng (early 1990s), he tried to centralize power under himself and his Shanghai Gang. He did a good job, but this was only partly done when he ran into his term limit in 2002 and had to step down. Factional power-sharing agreements forced him to let his arch-enemies, the CYL, succeed him.
April 28, 2022 · Original source
At the same time, the downfall of Bo Xilai was also a gradual process that took months, which publicized fissures within the party unseen for decades. In addition, Xi was well-liked and had a stellar reputation. He was not seen as a close associate of the Shanghai gang, unlike Li Keqiang who was clearly in the CYL faction.
C-SPAN

C-SPAN is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 29, 2023 and June 29, 2023. The archive places it in contexts such as "It doesn’t show up on C-SPAN because it doesn’t satisfy anybody’s values". It most often appears alongside Bryan, Bryan Caplan, cancer.

Reference entry
C-SPAN
Mention count
1
Issue count
1
First seen
June 29, 2023
Last seen
June 29, 2023
June 29, 2023 · Original source
Left: my position. Right: my position, “rounded off” to Caplan'’s position In particular, he claims I am FORCED to either accept that all mental illnesses are just “preferences” and so not illnesses at all, or as posited in a response by Emil Kierkegaard, that homosexuality is a mental illness and therefore bad. You will not be surprised to learn that I don’t think of myself as secretly admitting this, or forced into doing anything. II. Bryan mentions how I have already addressed his fork with a much more in-detail discussion of how we classify something as a disease or not at this link, to which I would add this post as fleshing out the same framework. Put simply, declaring something a “disease” is a complex category-boundary-drawing issue that combines facts and values, just like all category-boundary-drawing issues. I said that it’s a political question whether or not you classify homosexuality as an illness. Caplan thinks of this as some sort of incredibly deep concession. But it’s a political question whether or not to classify any condition, including physical conditions, as illnesses. It’s just that the political question is usually very easy. This shouldn’t be surprising - most political questions are easy! “Should we set every tree in the United States on fire, then dump the entire Strategic Uranium Reserve in the Mississippi River?” - this is a political question, in the sense that you could propose it for a vote and people would have to form an opinion on it. It doesn’t show up on C-SPAN because it doesn’t satisfy anybody’s values. It’s a political fight where one side has a constituency of zero. In the same way, “is cancer a disease?” is a political question. Maybe cancer makes you cough up blood and die. Basically everyone is against this, so it’s easy to condemn it and agree that doing it is worse than not doing it. If for some reason there were some strong political constituency in favor of coughing up blood and dying, who thought were were unfairly stigmatizing this wonderful prosocial activity, then we would have to have a political fight about it. This fight would have to involve comparing values (eg being against death) rather than comparing facts (eg cancer is caused by a mutation in such and such a gene).1 (see also: The Tails Coming Apart As Metaphor For Life and Ambijectivity. Categories often contain a simple region where they operate perfectly and where it would be perverse to consider them a political question even though they sort of are, and a more complex region where they start to break down and we have to agree on some final border) Is Down Syndrome a disease? It often causes poor health and low IQ; I’m pretty against both of these things, so I would say yes. Still, there are a bunch of people who argue it isn’t, maybe because they don’t care what your health or IQ is, or because they think stigmatizes Down Syndrome patients. I think these people are wrong, but only in the same way that I think people who support the Russian invasion of Ukraine, or who hate free speech, are wrong: they have bad values, they’re against human flourishing, they’re on the wrong side of a political question. Is depression an illness? It causes you to be miserable and not be able to do most of the things you want to do. Same story. I can’t imagine anyone being in favor of this, and I hope there’s a broad base of support to continue classifying it as an illness - but it’s a value judgment. Caplan says okay, maybe sometimes in some ways the category boundary drawing is hard, but he proposes a bright-line rule: No preference is a disease. No matter how bizarre or horrible (or common or wonderful). Diseases are constraints, not preferences. Part of my frustration with Caplan is that I feel like I have proven this constraint/preference distinction incoherent and misleading again and again over the course of our “debate” and he’s never responded. He just keeps saying “but the constraint/preference distinction!” For the sake of completeness, I’ll give my summary of what he thinks the distinction is, plus four of what I consider to be the strongest counterarguments. My interpretation of Bryan’s theory (I’m putting this in a quote block to specify I’m devil’s-advocating it, but this is my summary and not his): If we think like behaviorists, all we can really see about mental illnesses are unusual behaviors. For example, a depressed person stays in bed all day and doesn’t work. An alcoholic drinks himself to death. A psychotic person runs out in the street naked claiming to be God. These seem like choices. You can imagine the depressed person choosing to throw parties and work hard instead. You can imagine the alcoholic choosing to throw out his beer and never drinking again. You can imagine the psychotic person choosing to put on his clothes and act normally. In fact, if you put a gun to the alcoholic’s head and threatened to shoot him if he ever drank again, probably he would stop drinking. Therefore, we should model these conditions as unusual preferences/choices, not as diseases. The hallmark of a disease is a constraint, something you cannot “choose” to overcome, something you couldn’t overcome even with a gun to your head. For example, a paralyzed person cannot choose to walk no matter how hard she wants to, or how dire the consequences for not walking. Therefore, paralysis is an unusual constraint, and depression is an unusual preference. We may choose (for political reasons) to stigmatize certain unusual preferences. Maybe the people who have them will choose (for signaling reasons) to cooperate in their own stigmatization. But realistically these are just completely voluntary preferences. If we don’t like them, we should ask the people who have them to choose differently, instead of treating them as diseased. My counterarguments: — 1: Counterargument From Physical Illness, Part I The simple preference/constraint model clearly doesn’t describe mental illness very well. But it’s actually much worse than that. It doesn’t even describe physical illness. Consider a migraine. If we think like behaviorists, all we can really say about migraines is that someone locks themselves in a dark room, clutches their head, and says “oww oww oww” a lot. If we put a gun to a migraneur’s head and threatened to kill them if they didn’t go to a loud party, they would grudgingly go to the party. So clearly (says a hypothetical version of Caplan, whose answers I must rely on because the real Caplan has never addressed this objection) migraine headaches are a preference, not a disease! Some people just like locking themselves in dark rooms, clutching their head, and saying “oww oww oww” a lot! If other people call this a “disorder”, they’re choosing to stigmatize migraineurs; if migraineurs agree it’s a disorder, they’re just trying to escape responsibility for their antisocial choices. You could say the same about many - maybe most - physical diseases. Why not say that chronic pain is just a preference for grimacing a lot? That itchy rashes are just a preference for scratching yourself a lot? That colds are just a preference for lying in bed and blowing your nose a lot? (I believe most people with colds could get up, go to work, and avoid blowing their noses, if their lives depended on it). Or we could stop thinking like behaviorists, a philosophy which nobody has taken seriously since the 1970s. Once we agree that people are allowed to have internal states, and that the rest of us are allowed to acknowledge those internal states, the paradox disappears. We can agree that the essence of migraine headaches is pain, especially pain in response to strong sensations. The essence of itchy rashes is a feeling of itchiness, which is relieved when we scratch it. The essence of colds is feeling unwell and ugh and wanting to stay in bed and having unpleasant congestion in your nasal passages. None of these particularly change your preferences. Both I (never had a migraine) and the average migraineur have a preference for not having our head be in terrible pain. But the migraineur needs to avoid bright lights in order to satisfy this preference, and I don’t. So she very reasonably avoids bright lights. Once we’ve admitted this, it’s natural to also admit that depression involves negative emotions and low energy, that alcoholism involves a craving to drink alcohol, and that psychosis involves disturbed reasoning processes which make running out in the street naked claiming to be God seem like a good idea (all with other preferences intact). This is more parsimonious than Caplan’s theory, better matches the testimony of the mentally and physically ill themselves, and doesn’t require the mentally ill to be running some 4D-chess-style network of lies (such that actually the psychotic person’s reasoning is completely normal and they’ve just managed to perfectly trick everyone into thinking that it isn’t and tell a perfectly consistent story all the time and stick with their deception even when it presents an extreme threat to their life and freedom). — 2: Counterargument From Gradients Preferences and constraints naturally shade into each other. Let me give three examples. Example 1: I am a mediocre runner, able to run about 5 km before getting tired and stopping. One day, at exactly the 5 km mark, a demon appears before me, and says it will kill me unless I run another 1 km. I’m pretty upset by this, but I gather all my willpower, try really hard, and manage to run another 1 km. Then the demon appears again and says haha, I was just joking last time, but now I’ll really kill you if you don’t run another 1 km. For some reason I’m gullible, I believe it, and even though I am in extreme pain I make a herculean effort and run another 1 km. Again the demon appears and makes the same threat, and this time I say sorry, I really can’t run another inch, guess I’ll die. The demon says okay, new threat, it will kill me and my entire family horribly if I don’t run another 0.1 km, but give me $1 million if I do. I call upon some kind of reserve of courage worthy of the heroes of old, put one foot in front of the other, and make it a final 0.1 km before stopping. Again, the demon says haha, fooled you, you need to run another 0.1 km. I try this, collapse, and await my impending death. Do we argue that I had a simple preference again running 6, 7, and 7.1 km, but that my inability to run 7.2 km was a true constraint? It seems obvious that my difficulty running 7.1 km is of the same type as my difficulty running 7.2 km, and it just passed some threshold where I couldn’t do it anymore no matter how much it mattered. Example 2: The demon puts a dimmer switch on my leg nerves. When it’s at 100%, I have totally normal movement. When it’s at 0%, I’m paralyzed from the waist down. At 25%, I can sort of kind of walk in extreme pain. The demon threatens to kill me unless I succeed, so I shamble a short distance. Then the demon turns the switch down to 24% and threatens me again; I try my best, but fail. I think Caplan would have to say that at every level up to 25%, I simply have a preference against walking, which is fine and voluntary and my own fault and not a disease in any way. Then at 24%, it suddenly becomes a constraint inflicted on me by an outside agency and which I deserve sympathy for. Instead, I would rather describe things that make an action difficult and unpleasant as in some sense real constraints. When the dimmer switch is at 25%, I have an external constraint making walking difficult and unpleasant, although I can overcome this and do it anyway with a strong enough incentive. When the switch is at 24%, it’s become so difficult that no incentive can make me do it. There’s no qualitative boundary, just a quantitative one. Example 3: Try to hold your breath as long as you can (please don’t go overboard and hold it so long you pass out). If your experience is like mine, at each moment you’ll feel like - given a slight exercise of willpower - you could choose to hold your breath one more second if you so desired. But if your experience is like mine, you will also find that no amount of love or money could make you hold your breath successfully for (let’s say) three minutes.2 Is there a point where not wanting to hold your breath any longer switches from a preference to a constraint? Or have you discovered a place, in the dark moments just before suffocation, where these concepts lose all meaning? — 3: Counterargument From Physical Illness, Part II Caplan claims that mental illnesses involve preferences and physical illnesses involve constraints. But a second’s thought reveals this is not actually true, even if you accept the whole preference-constraint dichotomy Consider cancer. Cancer involves some constraints; for example, it might kill you, and you cannot choose to live instead, even if someone put a gun to your head and demanded it3. But until that happens, it mostly looks like preferences. People with cancer might stay in bed, saying they feel too sick and weak to get up and do things. But if you threatened them with a gun, they could probably get up and do things. People with cancer might refuse to eat, saying they feel too nauseous and have no appetite. But if you threatened them with a gun, they could probably get down some food. Meanwhile, plenty of mental illnesses include constraints. One of the diagnostic criteria for depression is cognitive and memory problems; people with these problems cannot choose to remember things better, even with a gun to their head. Many people with psychosis cannot speak or reason normally, even if you put a gun to their head and ask them how a healthy person would answer a question. People having panic attacks cannot choose to have a normal heartbeat, or to stop shaking or sweating. Depression and anxiety are both associated with insomnia; try to will yourself to sleep and you’ll sleep less, not more. Both physical and mental illnesses are complex bundles of preferences and constraints, which shouldn’t be surprising given that preference vs. constraint is an oversimplified distinction that breaks down outside its legitimate domain. — 4: Counter-Argument From The Gun-To-The-Head Test Actually Not Working A depressed person may not be able to get out of bed or live a normal life. This might get so bad that they decide to commit suicide by shooting themselves in the head. Confronted with a choice between living a normal life, or a gunshot to the head, they have chosen the gunshot4. It appears that they have passed the gun-to-the-head test that Caplan loves so much. I feel bad including this one, because Caplan can fairly object that this is just another preference. Maybe depressed people completely voluntarily choose to lie in bed for a few years while falsely claiming to be miserable and then shoot themselves in the head, and all of this is a perfectly free choice that they are happy with. I cannot disprove this, only point out how unparsimonious it is. Maybe a better example is when a psychotic person attacks the cops, the cops order him to stop or else they’ll shoot him, the psychotic person continues attacking them (eg because he believes he’s invincible) and then the police go ahead and shoot him. Again, Caplan could say that this is just a preference for attacking cops and then being killed. But in that case he should stop touting the “gun to the head test” as meaningful. Rather, he should admit that his theory is completely unfalsifiable - no matter what actions a mentally ill person does, what tests they pass or fail, he can just say they had a preference for doing whatever they did. In fact, at this point I don’t see why he even has to acknowledge the existence of constraints at all. One might as well claim that a paralyzed person could walk if they wanted, but chooses not to. III. I think Caplan is groping towards something like the following criticism: Suppose we simplify depression to “person lies in bed and doesn’t do anything all day”. Caplan’s model treats this as “depressed person has preference to lie in bed”. My model treats this as “depressed person has an abnormal mental/emotional/motivational state that makes it difficult and unpleasant for them to not lie in bed”. Now we consider a gay person. Caplan’s model treats this as “person has a preference to be gay”. Wouldn’t my model have to treat this as . . . person has abnormal mental/emotional/motivational state that makes it difficult and unpleasant for them to be heterosexual? In some sense this is true. We could imagine some very religious man from the 1950s who really wants to be straight, marry a woman, and raise a family. But due to some hormonal disturbance, he feels a very strong urge to have sex with men. How is this different from (let’s say) depression-secondary-to-hypothyroidism, where some person really wants to live a normal life, but instead, due to a hormonal disturbance, feels unable to do anything but lie in bed? It doesn’t seem that different to me. It also doesn’t seem that different from a straight guy who wishes he were gay (maybe for LGBTQ cred, or because it would make it much easier to find partners) but feels a very strong urge to have sex with women. So does that mean that depression is “just a preference”? I don’t think so, because none of these scenarios seem that different from the person with the migraine either! I think the preference/constraint dichotomy is a bad way to think about about this whole class of things. I think all of the following things shade into each other: A migraine. You could think of this as a preference for sitting in a dark room and saying “ow ow ow” - or as an internal state of head pain.
c.ai

c.ai is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 24, 2024 and July 24, 2024. The archive places it in contexts such as "In terms of total visitors, c.ai is still only at about 0.02% of Google’s". It most often appears alongside Abigail Shrier, Adragon De Mello, AI girlfriends.

Reference entry
c.ai
Mention count
1
Issue count
1
First seen
July 24, 2024
Last seen
July 24, 2024
July 24, 2024 · Original source
The Google comparison briefly confused me - “queries” here means “messages to the AI”, so a conversation with a hundred back-and-forth questions counts as 100 queries (whereas most people only query Google a few times daily). In terms of total visitors, c.ai is still only at about 0.02% of Google’s. Still, this is way more than I expected, given that even trying to follow AI trends I’d never really heard anything about this. “People getting addicted to AI girlfriends en masse” should be considered a present-day problem rather than a future one.
CAARMS

CAARMS is a recurring organization 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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CAARMS
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1
Issue count
1
First seen
February 27, 2023
Last seen
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/
CAFTA-DR

CAFTA-DR is a recurring organization 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 "investment treaty (here, the multilateral CAFTA-DR)". It most often appears alongside 101, ALUC, Antioch.

Reference entry
CAFTA-DR
Mention count
1
Issue count
1
First seen
September 11, 2023
Last seen
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".
CAIR

CAIR is a recurring organization 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 ""As for Arabs, they seem to have plenty of organization and activism, eg CAIR;"". It most often appears alongside #MeToo, #StopAAPIHate, #StopAAPIHate.

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CAIR
Mention count
1
Issue count
1
First seen
May 01, 2024
Last seen
May 01, 2024
May 01, 2024 · Original source
As for Arabs, they seem to have plenty of organization and activism, eg CAIR; if this is less prominent than eg Asians or Latinos, it’s probably because Arabs are about 0.5% of the US population, compared to Asians’ 5% and Latinos’ 20%.
CAIS

CAIS is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 26, 2025 and May 26, 2025. The archive places it in contexts such as "Another CAIS online course on AI Safety, Ethics, and Society". It most often appears alongside ACX MEETUP, Aella, AI 2027 team.

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CAIS
Mention count
1
Issue count
1
First seen
May 26, 2025
Last seen
May 26, 2025
May 26, 2025 · Original source
6: Another CAIS online course on AI Safety, Ethics, and Society; free, online, 12 weeks long, takes place this summer. Apply by May 30.
Calatrava

Calatrava is a recurring organization 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 "exalted ancient military order of Calatrava". It most often appears alongside 18th century, A Eunuch's Dream, Alessandro Moreschi.

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Calatrava
Mention count
1
Issue count
1
First seen
June 03, 2022
Last seen
June 03, 2022
June 03, 2022 · Original source
“Farinelli was part and parcel of a new bourgeois order. He had made his fame singing in large commercial theaters attended by thronging publics that included members of the haute bourgeoisie and nobility, servants, dignitaries, middle-class doctors, lawyers, teachers, merchants, military men, and sometimes royals. He had negotiated with agents over contracts. He had also purchased numerous things for himself, including practical items, musical instruments, real estate, horses, and luxury objects, and had been given many luxurious things and lots of cash…Fifteen years later, when the king of Spain made him a knight of the exalted ancient military order of Calatrava, the" crowning" was not just musical or metaphorical. By then Farinelli had already been carrying out extensive state duties in his high-powered role as minister of entertainments and had been a household intimate of two successive pairs of Spanish royal heads of state. He had consorted with numerous crown heads of Europe along the way. To commemorate all that, Corrado Giaquinto pictured him in 1755 majestically attired, wearing the cross of Calatrava with the royals of Spain hovering in the background among the angels—almost as if to declare the castrato de facto king.” [pg. 9]
As you can see, the castrati were not mere bystanders in the political arena. In fact, some even ended up joining the ranks of the nobility themselves through the granting of knighthood (as mentioned previously, Farinelli was inducted into the exalted ancient military order of Calatrava by the king of Spain) or by purchasing lands that came with a title (Caffarelli, Rivani, and Arnaboldi).
CalCompute

CalCompute is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 10, 2024 and October 10, 2024. The archive places it in contexts such as "a “state compute cluster” that academics and other sympathetic actors can use to train socially valuable AI models". It most often appears alongside 80,000 Hours, @GroundHogStrat, A.I. salons.

Reference entry
CalCompute
Mention count
1
Issue count
1
First seen
October 10, 2024
Last seen
October 10, 2024
October 10, 2024 · Original source
Economic Security Project Action isn’t part of our conspiracy. They’re a generic progressive nonprofit that wants the benefits of AI to be shared broadly, and came up with the idea of CalCompute - a “state compute cluster” that academics and other sympathetic actors can use to train socially valuable AI models without needing to beg VCs for big bucks. Apparently someone made some kind of deal and their wish list was combined with ours into a single bill.
Calibrate

Calibrate is a recurring organization 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 "Calibrate, a group that offers semaglutide cheap ($25/month copay with most insurances)". It most often appears alongside Adam, AMG-133, amoxicillin suspension.

Reference entry
Calibrate
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1
Issue count
1
First seen
November 30, 2022
Last seen
November 30, 2022
November 30, 2022 · Original source
Mel on Calibrate, a group that offers semaglutide cheap ($25/month copay with most insurances):
IIRC Calibrate's pitch to insurers is that by pairing Semaglutide with their behaviour change program (app + coaches) they can eventually wean people off the medication while maintaining the weight loss effects, saving insurers lots of $$ in the long term. So far they've been quite successful convincing insurers (and VCs) of this but I think the evidence shows people need to stay on Semaglutide forever to maintain their weight so I don't think this will hold up.
California Attorney General's Office Housing Strike Force

California Attorney General's Office Housing Strike Force is a recurring organization 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 "He set up the CA AG office's Housing Strike Force". It most often appears alongside abundance liberalism, Alabama, Alfred Twu.

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1
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1
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November 05, 2022
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November 05, 2022
November 05, 2022 · Original source
Rob Bonta is the single most YIMBY person in the CA executive branch right now, for whatever that's worth to you. He set up the CA AG office's Housing Strike Force, and has used it to good effect.
California Chamber of Commerce

California Chamber of Commerce is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "includes the California Chamber of Commerce". It most often appears alongside ABSTAIN, Alex Padilla, American Nurses Association.

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1
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1
First seen
November 04, 2022
Last seen
November 04, 2022
November 04, 2022 · Original source
And yet the argument against is that we must never surrender to The Kidney One. As many times as it rises up to menace the Californian people, so many times shall we rally the defenders. This time the alliance of free races is called No On 29: Stop Yet Another Dangerous Dialysis Proposition, and includes the California Medical Association, Renal Physicians Association, American Nurses Association, California Chamber of Commerce, California Taxpayer Protection Committee, the NAACP, and every other group in California, even (really!) the Scottish-American Military Society.
California Democratic Party

California Democratic Party is a recurring organization 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 "California Democratic Party and its demand that no Democrat stand as a replacement for Governor Newsom". It most often appears alongside 2003 recall election, Arnold Schwarzenegger, Barbara Fried.

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1
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1
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August 25, 2021
Last seen
August 25, 2021
August 25, 2021 · Original source
Maybe you should actually be scared of the California Democratic Party and its demand that no Democrat stand as a replacement for Governor Newsom? I think this makes sense if you want a future career in California state politics; probably they can blacklist you forever if you cross them. But I wasn’t expecting to have a future career in California state politics, neither were you, and probably neither was Kevin Paffrath. That’s why we would have been able to take this weird opportunity that all the real politicians turned down. Also, given the level of competence they’ve shown here, having the California state Democratic Party out for your head is probably the surest path to a long and healthy life.
California Democrats

California Democrats is a recurring organization 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 "top California Democrats didn't [sign up]". It most often appears alongside 2003 recall election, Arnold Schwarzenegger, Barbara Fried.

Reference entry
California Democrats
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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
Several top California Republicans signed up as replacement candidates. But top California Democrats didn't. The state party officially recommends voters say no to recalling Newsom (obviously), but also that they leave the question about his replacement blank. In keeping with this policy, no important Democrat has signed up as a potential replacement candidate. A few randos with (D)s next to their name signed up for vanity campaigns, but that's it.
Maybe at some point this seemed like a defensible position? California is a deep blue state, so maybe Democrats thought they could just...not dignify the recall with a response? [EDIT: Commenters bring up that in the 2003 recall election, Democrats fielded a great replacement candidate, lots of Democrats who disliked the governor voted yes on recall because it was costless with such a good replacement, and then the governor got recalled and Republican Arnold Schwarzenegger won the replacement election. Now they want to try the opposite strategy of forcing Democratic voters to oppose the recall entirely.] But the mask mandates are lasting longer than expected, the wildfires are pretty bad this year, and Newsom supporters lack all conviction while his opponents are full of passionate intensity. For whatever reason, polls show the recall-Newsom question is 50-50 to pass right now.
That left Democrats under increasing pressure to unite around a Democratic replacement candidate. This wouldn't mean abandoning Newsom - just telling voters "Please vote no on the recall, but in case the recall wins anyway, please vote for so-and-so as the replacement." But since no real Democrats are on the ballot, they need one of the randos who ran a vanity campaign.
California Department of Computing

California Department of Computing is a recurring organization 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 "Whereas if your MacBook Pro was made by the California Department of Computing". It most often appears alongside 2025-Yarvin, Antiversity, Apple.

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1
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1
First seen
May 07, 2025
Last seen
May 07, 2025
May 07, 2025 · Original source
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
California Department of Health Care Services

California Department of Health Care Services is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 29, 2024 and October 29, 2024. The archive places it in contexts such as "A 2022 report by the California Department of Health Care Services". It most often appears alongside 2010, 2014, 2016.

Mention count
1
Issue count
1
First seen
October 29, 2024
Last seen
October 29, 2024
  • 2010 1 shared issues
  • 2014 1 shared issues
  • 2016 1 shared issues
  • 2019 1 shared issues
  • 2021 1 shared issues
October 29, 2024 · Original source
Prop 36 doesn’t set aside any funding for new mental health and substance treatment beds. This might make sense if California was full of empty treatment centers waiting for addicts to fill them. But in fact, the state desperately lacks treatment beds. A 2022 report by the California Department of Health Care Services found that 70% of our counties "urgently need" residential addiction treatment services. 40% – that’s 23 counties – have none at all. Even the larger and wealthier counties are struggling. San Francisco currently has 2,551 residential treatment beds, of which just 690 are for substance abuse treatment – but the city’s homeless population in need of treatment alone measures over 8,000. Worse still, due to post-COVID staffing shortages, the state is actually losing thousands of treatment beds.
California Department of Justice

California Department of Justice is a recurring organization 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 "the California’s DOJ site". It most often appears alongside A History Of Mankind, ACS, Alexander Turok.

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June 29, 2022
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June 29, 2022
June 29, 2022 · Original source
So one guess is this is kind of “niche” charge. Once “intent to steal” becomes “actual stealing” it gets reclassified as larceny, of which there has been the steep rise that your friends have described (and which, in absolute terms, is more than 10x as common as shoplifting). That's speculation, though. What seems clearer is that Shellenberger's claim of larceny appears to be sound, empirically, according to CA DOJ.
And it's the California’s DOJ site. And here’s it where Shellenberger is I think on pretty firm ground, and where some of the anecdotes you’ve heard from your friends and patient *do in fact* match up with the data.
California Department of Public Health

California Department of Public Health is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 11, 2023 and January 11, 2023. The archive places it in contexts such as "which the California Department of Public Health said was from naturally occurring radioactive materials". It most often appears alongside 2016, 2016 election, Adobe Illustrator.

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January 11, 2023
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January 11, 2023
January 11, 2023 · Original source
So 72% of people agreed that technically true but deliberately misleading things were lies. Could I have saved myself some trouble if I had titled the post “The Media Very Rarely Says False Things”? Or “The Media Very Rarely Makes Up Facts”? I think people would have been equally annoyed that I was using “false things” or “make up facts” in a way that excludes technically-true-but-misleading statements. Someone’s going to argue I should have gone all the way and titled it “The Media Very Rarely Lies, But This Is True Only In The Most Nitpicky Technical Sense Of The World Lie, And In The Normal Sense Of The Word They Definitely Do” - at which point I will remind you that I absolutely did that, I just put the second part in the subtitle instead of the title. If you can’t bring yourself to read the non-bolded gray text, there’s no helping you. 2: Comments Equating Lying With Egregiously Sloppy Reasoning Other people placed a lot of importance on the specific phrasing in the Infowars birth certificate article where it concluded “therefore, the birth certificate is false”. For example, Bakkot: I'm with you on the general point but I think you're being too charitable to InfoWars (and maybe others) in at least some examples. Take the InfoWars birth certificate one: in addition to all the claims about layers and so on, it says "the document is a shoddily contrived hoax". That is a factual claim which is false. They offer support for that claim which isn't actually convincing, and the support they offer happens to be true but out of context, and I'm with you on calling the supporting evidence "not lies". But "the document is a shoddily contrived hoax" is in fact flatly false, and is asserted by the article itself, not just "someone said". This seems wrongheaded to me. Reposting from my own comment there: when I say "Obama's birth certificate is real and not a forgery", I'm not tapping into the Platonic realm and reading the truth directly. I'm saying that I have seen a lot of evidence that makes me think Obama's birth certificate is real and not a forgery, and have inferred the conclusion "it's real and not a forgery" from that. If later it turned out it was a forgery - say there was some amazingly vast conspiracy theory that I completely missed - I wouldn't have been lying when I said the words "Obama's birth certificate is real and not a forgery". I would have been stating the conclusion I had inferred from my facts (which, in this hypothetical, would have been wrong, because I'm bad at reasoning). Jones states his own facts and the conclusion he infers from them. If his conclusion is wrong, the correct term for this wrongness is "failed inference", not "lying". Bakkot is still not happy with this: I don't think you've made a claim with reckless disregard for the truth, whereas I think InfoWars did. I am not at all convinced that InfoWars had a sincere belief that the birth certificate in question was a forgery. I think it is much more likely that they simply didn't care to know the truth of the matter. And I think it's reasonable to say that when someone makes it a false claim without caring whether or not it's true, that's a lie. This is the standard used for defamation in the US ("reckless disregard for the truth" is stock legal phrase), and defamation is usually understood to mean "lying about someone in a harmful way", so I think this is a pretty normal standard. At this point I acknowledge we’re disputing definitions, but I want to stand by mine. I’ve seen, again and again, that people are incapable of understanding that honest disagreement is possible. For example, I wrote about this here in the context of the millions of liberals who insist that conservatives can’t possibly care about fetuses’ lives and anyone who says they does must just be lying about it in order to justify their real program of oppressing women. When someone says “Joe is a liar”, I don’t want to have to ask every time “Do you mean you have some actual evidence for this, or that they said something you disagree with and you instantly leapt to ‘this is reckless disregard for the truth because nobody could ever be so dumb as to honestly disagree with me’?” I think if we let people use the word “lie” this way, then the overwhelming majority of accusations of lying would be false. Why would we want to define a word in a way that dooms it to constantly be used incorrectly to mislead people? I’m kind of sensitive to this because for almost every article I write, people in the comments accuse me of lying, or “pretending” I don’t know why the statements I made are wrong, or some other offense which I plead innocent to. My prior on “a randomly selected egregiously wrong person is lying” is much lower than the sort of people who make these accusations. I think people are just really paranoid about this, and we should use our terms carefully in a way that mitigates this paranoid rather than inflames it. Some of this might be more convincing after you read Part 6 of this post, where I list commenters’ proposed examples of media lies. Eric Newcomer writes: I hope we can all agree that the NYT wouldn't draw such big conclusions from such thin findings. The InfoWars birth certificate article doesn't even really seem internally certain about how PDF layers work. The critique I'm making now falls into the broader "InfoWars is much more egregious in its infractions than the NYT category." But I do think it reveals the slippery line between knowing lies and what one might call "lies of egregious sloppiness." If some serious part of a person knows that they haven't proved what they're claiming but they (or their bosses) insist on claiming that you have proved it, isn't that a form of lying? I’m sorry, but “lies of egregious sloppiness” sounds to me like “physical violence of egregious emotional violence”. Emotional violence and physical violence are both bad. Physical violence probably sounds worse to most people, and so it’s really tempting to, if emotional violence is really bad, say that that makes it a kind of physical violence. But I think that, although this is tempting, it’s false and you shouldn’t do it. I don’t want to say you’re allowed to sound more confident than you are. If you’re 71% confident, and you falsely say you’re 72% confident, then you are lying. But if you are very dumb, and seeing a random piece of toast makes you 100% confident that Obama’s birth certificate is false, and you vomit some random words to that effect onto a page, then you’re an idiot but not a liar. 3: Comments About Whether Infowars Believes Their Own Claims But I guess if you do want to be careful with the definition of the word “lie”, then it becomes important to know whether people at Infowars honestly believe their conspiracy theories or not. I don’t want to defend super-hard the thesis that they do. I’m not sure. If you forced me to guess, I’d say something like for a randomly given Infowars reporter and a randomly selected conspiracy theory they’re reporting on, 40% of the time they think it’s at least plausible enough that they’re doing good work by reporting on it, 20% of the time they know on some level that it’s false and they’re doing something wrong, and 40% of the time they’re in some kind of weird superposition where it seems emotionally true to them and they feel this hard enough that they never get around to asking whether it’s literally true. I’m really not attached to these numbers, but man are a lot of you attached to the claim that they definitely know their theories are false and are consciously lying. My main argument against this is that millions of people believe conspiracy theories - if they didn’t, we wouldn’t care so much about them! - and why shouldn’t some of those people work at Infowars? It would be quite a weird system for the conspiracy ecosystem to be run by an elite who secretly know they’re false, serving up fables to a base who believe them completely. How would you prevent some of the believers from rising into the elite? It would almost take a conspiracy of its own! Eric Newcomer has a more convincing counterargument than I expected: As an aside, I have personally worked at the NYT newsroom (reporting fellow) and at conservative outlet Washington Examiner. And I found the latter to be much sloppier and less worried about thinking through the impression it gave from facts. The Examiner would headline any big budget deficit number etc on my beat whereas the NYT had very detailed copy editors who would spot factual assertions in my copy that I didn't even consider I was making and push back on them. On InfoWars, it seems naive to presume that the outlet pushing the most misleading stories (InfoWars) is acting in good faith rather than just supplying readers with what they want. I get the point (one that Noam Chomsky has made) that outlets can just hire the bias that they want. But I actually think it's fairly hard to staff up true believers who can write and report credibly for conspiracy and super rightwing type stuff -- hence why a bunch of liberals like myself found themselves out of college writing for the local section of the Washington Examiner before it was killed. I find that on an intuitive level, I’m not too surprised to learn this - most journalists seem liberal, it would make sense that conservative papers couldn’t entirely escape this effect. On a more napkin-math level, I’m boggled - isn’t this embarrassing for the Examiner (and the journalists involved?) Wouldn’t they spend a lot of effort avoiding it? In a country with 100 million conservatives, is it really that hard to find a handful of them capable of writing news articles? There are many people writing okay-quality right-wing Substacks that get like five views per article. Are they doing this for the (nonexistent) money, without believing in the cause? If not, why couldn’t these people have been Washington Examiner reporters? Or InfoWarriors? I think Richard Hanania has a theory that a lot of liberals’ political advantage comes from a culture where they are happy to work themselves ragged for minimal compensation as long as it seems like like an impressive job they won’t be embarrassed to tell their friends and family about - ie intellectual college-degree-requiring labor. Maybe this is what the Examiner is taking advantage of? I don’t know. I don’t know what kind of ethical principles Eric considered when he decided to work for the Examiner, but I bet he wouldn’t have agreed to work for Infowars even if they paid him much more money. This should also factor into our calculations about whether Infowars is being staffed by Eric-equivalents. Human writes: There is at least one former infowars employee who alleges that their stories are (at least often) known to be false. The most clear-cut example I can quickly find is here: "Shortly after Jones began selling the supplements, someone posted a video on YouTube holding a Geiger counter displaying high radiation readings on a beach in Half Moon Bay, Calif. The video went viral, stoking fears that radiation from Fukushima was drifting across the Pacific Ocean. Jones saw an opportunity and sent me, along with a reporter, a writer and another cameraman, to California. We had multiple Geiger counters shipped overnight, unaware of how to read or work them, and drove up the West Coast, frequently stopping to check radiation levels. Other than a small spike in Half Moon Bay — which the California Department of Public Health said was from naturally occurring radioactive materials, not Fukushima — we found nothing. "Jones was furious. We started getting calls from the radio-show producers in the office, warning us to stop posting videos to YouTube stating we weren’t finding elevated levels of radiation. We couldn’t just stop, though; Jones demanded constant real-time content. On some of these calls, I could hear Jones screaming in the background." See also here for a discussion of Jones admitting he was lying about Sandy Hook during the lawsuit. 4: Comments On Why 8% Of Americans Said They Had Relatives Who Died From The COVID Vaccine Many people, including me, were confused by a poll in which 8% of Americans said they had a relative who died from the COVID vaccine. I speculated that maybe they were reading too quickly and misinterpreted it as “a relative who got the COVID vaccine”. But Tytonidaen wrote: I think a more likely explanation is that many people are choosing to attribute deaths to the vaccine that are not actually from the vaccine. For example, let's say Person A gets vaccinated and dies shortly after of some completely unrelated cause. And let's say Person B, the loved one being polled, has priors about vaccines or the medical establishment or whatever that cause them to be convinced it was actually the vaccine that killed Person A. In hypothetical reality, Person A lived a rather unhealthy lifestyle, had lots of risk factors for a heart attack, and would have died from a heart attack, regardless of whether they'd gotten the vaccine. Then, when Person A does, indeed, die of a heart attack, and by sheer coincidence had recently gotten vaccinated, Person B blames the COVID vaccine when polled, but it wasn't really the vaccine that killed their loved one. It might be easier to believe that outside forces (like a vaccine) harmed the person than to believe that the loved one's own actions did (like a poor lifestyle, not taking their meds, etc.). That's only one example, but I think the underlying dynamic could easily explain the poll results. None Of The Above wrote: In general, it seems like when you ask a factual question with partisan/CW valence on a poll, and the respondents don't know much about the factual question, they answer the "whose side are you on" question instead. That is, if you ask Republican-voting biologists, they'll nearly all tell you the Theory of Evolution is basically how living stuff came to be, but if you ask Republican-voting normies whose vaguely-remembered high school biology class may have mentioned Darwin a few times, they'll answer that evolution is a lie--they don't really know one way or another, they're just answering the "whose side are you on" question. Democratic normies will far more often tell you evolution is true, but probably could do little better in explaining why than the Republican normies could in explaining why evolution is really an atheist lie of some kind. Zack wrote: I took a time-boxed peek at the Pollfish data. The 1500 results were splint into 3 batches of 500. I arbitrarily selected the Jul 4 file to look at. In that file, there were 36 respondents who reported a household member had died from he vaccine. Focusing on those responses, I noticed a few interesting patterns. Of those 36 respondents, 10 responded "Yes" to both the question about death of a household member from COVID and death of a household member from the vaccine. I'm skeptical that 10 out of 500 people were unfortunate enough to have 2 household members die: one from COVID and one from the vaccine. (Especially because these are not large households; 4 of these 10 report that they have 1 other household member, and 5 of these 10 report having 2-4 other household members.) Of these 36 respondents, 20 responded "Yes" to both the question about death of a household member from the vaccine and "Are you planning on getting future COVID vaccines?" I'm skeptical that 55% of people who had a household member die of a vaccine would plan to get the vaccine themselves. Of these 36 respondents, there are even 4 who experienced a surprising number of adverse affects from the vaccine (Myocarditis, Pericarditis, AND Bell's Palsy ) requiring hospitalization in addition to having a household member die from the vaccine. Of these 4, 2 selected all of the following: "It will likely shorten my lifespan", "I am now unable to hold a job", "I am now unable to work a full day", "It impacts my personal life", "It is a minor annoyance". Those two are planning to get the vaccine again. There's some overlap between these respondents. Ignoring all of them drops from 36 who had a household member die of the vaccine to 12. I don't see obvious inconsistencies in these responses. However, there seems to be a broader issue with the survey design. They look at average time to complete each question, but average doesn't seem like the right measure here (3 people took 10+ minutes to answer; summed, the fastest 250 responses took about as long as those slowest 3). Of the 500 responses, most people seem to answer 7-10 questions. I timed myself just reading those questions silently in my head (not thinking about the answers). Of three attempts, my fastest was a bit over 17 seconds. 40 people completed the survey in 17 seconds or less. I'm skeptical it's possible for someone to provide a quality response to the survey that quickly. 225 people (nearly half) completed the survey in less than 31 seconds. I think that's the fastest I could answer if I were seeing the questions for the first time. It seems like Pollfish's model may encourage hasty, poor quality responses; "Pollfish uses non-monetary incentives like an extra life in a game or access to premium content." (https://resources.pollfish.com/pollfish-school/how-the-pollfish-methodology-works/) It seems like that creates a misalignment of incentives; the respondent is in a hurry to get back to whatever they were doing. They provide survey fraud protection, and claim it filters suspiciously quick or suspiciously consistent answers (e.g., the same answer for all questions), but it seems to be overlooking obviously problematic responses in this case. (https://resources.pollfish.com/pollfish-school/how-pollfish-prevents-fraudulent-responses/) This bothered me enough that I emergency-edited the ACX Survey partway through to include (slightly differently phrased variants of) the two questions on the poll: Did anyone in your family (as per your best guess) die of COVID?
California government website

California government website is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 27, 2021 and December 27, 2021. The archive places it in contexts such as "They give their resolution source as this California government website". It most often appears alongside ACX Grant, American Hospital Capacity Association, Astral Codex Ten.

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December 27, 2021
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December 27, 2021
December 27, 2021 · Original source
They give their resolution source as this California government website, which says there have been fewer fires this year, 8800 vs. 9600. It’s been updated pretty recently, and this isn’t California’s fire season, so there’s no way there will be another 800 fires in the next four days. As far as I can tell, this is free money - though probably after Astral Codex Ten mentions this question, people will notice and correct it pretty quickly.
California Highway Patrol

California Highway Patrol is a recurring organization 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 "In December, the California Highway Patrol arrested the man again for driving a stolen vehicle under the influence". 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.

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June 23, 2022
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June 23, 2022
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.
California Policy Lab

California Policy Lab is a recurring organization 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 "This study by the California Policy Lab does better". 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.

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California Policy Lab
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June 23, 2022 · Original source
The San Francisco districts with the highest (left) and lowest (right) homelessness rates. I correlated homelessness rate and population-adjusted density in the same cities I looked at above, but it didn’t add much predictive value to housing prices. Maybe this is restriction of range (all big cities are dense enough to have homelessness, compared to suburbs), or maybe the key feature is relative rather than absolute density (ie the homeless will go to the densest place nearby). Conclusion: No social phenomenon is ever caused by just one thing, but San Francisco’s homelessness rate is around where a housing-cost-based model would predict. San Fransicko briefly touches on this, but overall tries to de-emphasize it in favor of talking about drugs and mental illness. Critiques of patterns of emphasis are necessarily subjective, but the book’s pattern feels misleading to me. Claim 2: Standard Accounts Underemphasize The Role Of Drugs And Mental Illness In Homelessness Having argued homelessness isn’t just about poverty, the book goes on to say we’re neglecting the central role of mental illness and substance abuse: Over the last decades there were many visible signs that homelessness was about much more than poverty and housing. Between 2010 and 2020, the number of calls made to San Francisco’s 311 line complaining of used hypodermic needles on sidewalks, in parks, and elsewhere rose from 224 to 6,275. In 2018, footage of dozens of people slumped over in an entrance to a Bay Area Rapid Transit (BART) station, many with needles in their arm, went viral. “We call it the heroin freeze,” said one local. “They can stay that way for hours.” Said another, “It’s like the land of the living dead.” For decades researchers have documented much higher levels of mental illness and substance abuse among the homeless than in the rest of the population. It’s true that just 8 and 18 percent of homeless people point to mental illness and substance abuse, respectively, as the primary cause of their homelessness, but researchers have long understood that such self-reports are unreliable due to the socially undesirable nature of substance abuse, and the lack of insight that often accompanies mental illness. Using other methods, San Francisco’s Health Department in 2019 estimated that 4,000 of the city’s 8,035 homeless, sheltered and unsheltered, are both mentally ill and suffering from substance abuse. Of those 4,000, about 1,600 frequently used emergency psychiatric services. Shellenberger’s source for 4000 homeless people having these issues is this SF Chronicle article, which seems to based off of this report. The report does estimate 4000 homeless people with mental illness and substance abuse, but it uses a yearly rather than point estimate of homelessness, and finds 18,000 rather than 8,000 people. That means it only finds a 22% rate of these problems, not a 50% rate. Thanks to commenter Sean for hunting down this report and helping explain this. I looked for other statistics to provide context on this number. This 2013 San Francisco Homeless Count found that 29% admitted chronic depression, 15% PTSD, and 22% some other mental illness. About 30% admitted to a substance use disorder, although as far as I can tell this is just the number who admitted it was a disorder, so maybe more used drugs. This article by the Los Angeles Times describes an LA study finding that 25% of homeless people had mental health issues and 14% had drug issues. The Times re-analyzes it in a way that ups the numbers to 34% and 46%, respectively. But they don’t say exactly what choices they made differently, and the few they do give don’t really inspire confidence. Although in some cases they count questions clearly about mental illness which the official definition inexplicably refused to count, in others they decide to count anyone who has ever had mental illness, reversing a government decision to require the mental illness to be long-term (does this mean that if I lost my house tomorrow, the LA Times use me as an example of a “mentally ill homeless person” because I saw a psychiatrist for OCD when I was a kid?) Studies like these don’t show causation. Sure, mental illness can make people homeless. But homelessness can also cause mental illness. One SF study found psych diagnoses among the homeless to be evenly divided among depression, PTSD, and everything else. Homelessness is a depressing and traumatic environment. Just because someone who’s been on the streets for a year has depression or trauma, doesn’t mean that we should attribute their homelessness to mental illness. This study by the California Policy Lab does better. It asks what factors played a role in homeless people losing their homes, and finds that 50% of unsheltered and 17% of sheltered homeless point to mental illness (given SF’s balance, that suggests 37% of SF homeless would point to that problem). But I can’t help but notice that when you add up the percent of people who lost their homes due to physical illness, psych illness, and drug use, it totals 147%. Based on numbers from other studies, it looks like if you added in job loss, eviction, etc, the numbers would total well above 400%. This makes me think people are saying “yes” if the factor played even a minor role in their eventual homelessness, and this shouldn’t be treated as 37% of homeless having mental health issues being their main problem. The same study finds that about 66% of the homeless “have” some mental health problem, but this time they don’t tell us what question they asked or what criteria they use. What about psychosis in particular? This meta-analysis claims that in developed countries (a category to which San Francisco still nominally belongs) about 19% of homeless people qualify for diagnosis with a psychotic disorder, including 9% with schizophrenia in particular. Not all people with psychotic disorders are completely crazy all the time, and some very much are not, but this is at least a specific condition with real criteria. Conclusion: Overall, I’m disappointed in most of the published research on this question, which seems more interested in producing glossy brochures about funding disparities than in informing anybody what any of their numbers mean. But putting it all together and squinting really hard, I think we can tell a story where 10-20% of the homeless are seriously psychotic, and another 20-30% have contributing mental health conditions including depression, PTSD, and others. Somewhere between 25% and 50% of the homeless have substance abuse problems, and this probably mostly overlaps with the 25% - 50% who have psych diagnoses. I think San Fransicko gets this mostly right. Claim 3: “Housing First” Isn’t As Great As People Think, And Might Be Harmful The National Myth About Homelessness is that The Bad People are refusing to give people houses until they’ve “proven” they “deserve” them, thus perpetuating homelessness when they inevitably fail to qualify. The Good People have united under an exciting new banner called “Housing First” to push the revolutionary idea that people should get houses regardless of whether they conform to normal standards of respectability or not. Wherever this is adopted, homelessness rates fall, and the formerly homeless becoming healthier, safer, and more likely to re-integrate into society. Best of all, the program pays for itself in decreased health care and policing costs. The only impediment to solving homelessness everywhere is the Bad People who still insist on not housing the homeless until they’ve “earned” it. In real life, everyone important has been united under Housing First since the Bush administration made it national policy fifteen years ago, and most of the cities with spiraling homelessness crises have been pursuing Housing First policies for decades (eg San Francisco has been trying Housing First since the 1990s). The Obama and Trump administrations both set funding policies that penalized any non-Housing-First welfare programs. Still, everyone is sure that the reason there are still homeless people must be that some Housing First opponent still exists somewhere, ruining everything with their purity-testing ways. But actually these people have already been relegated to the conservative think tanks where moribund ideas go to die. I have looked through a lot of studies and articles to try to see how well Housing First works. I am most sympathetic to the conclusions of Tsai (2020), who basically says that: Homeless people who are given houses are more housed than homeless people who are not given houses. Way, way more housed. You would not believe how strong of an effect giving someone housing has on them being housed. The same is true for other outcome measures like “time spent experiencing homelessness”, “number of days spent in a temporary homeless shelter”, etc. You might think this is obvious, but this is used as the primary outcome in a lot of studies, and “success” on this metric is behind a lot of claims that “studies show Housing First works great!”
California Republicans

California Republicans is a recurring organization 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 "Several top California Republicans signed up as replacement candidates". It most often appears alongside 2003 recall election, Arnold Schwarzenegger, Barbara Fried.

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California Republicans
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August 25, 2021
August 25, 2021 · Original source
Several top California Republicans signed up as replacement candidates. But top California Democrats didn't. The state party officially recommends voters say no to recalling Newsom (obviously), but also that they leave the question about his replacement blank. In keeping with this policy, no important Democrat has signed up as a potential replacement candidate. A few randos with (D)s next to their name signed up for vanity campaigns, but that's it.
Governor Gavin Newsom had a bad year. First he pissed off Republicans with his strong response to COVID. Then he pissed off the people who wanted strong responses to COVID by attending an unvaccinated unmasked dinner. Also, taxes are still high, homelessness is still high, rents are still (too damn) high, and parts of the state are literally on fire. Gavin Newsom didn't cause most of this, but he also hasn't announced any particularly inspired plans to fight it. Just a really, really bad year.
California has a long tradition of direct democracy. Citizens can circulate petitions, and if they get enough signatures, everyone has to vote on them. After several tries, Republicans finally got enough signatures on a “recall Newsom” petition to trigger an election. The way the election works is: there are two questions on the ballot. First, should Newsom be removed as governor? Second, if he is removed, who replaces him? Everyone gets to vote on both questions, so even if you want to keep Newsom you can still vote on who replaces him if he loses.
California Secretary of State

California Secretary of State is a recurring organization 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 "see https://www.sos.ca.gov/elections/candidate-statements". It most often appears alongside abundance liberalism, Alabama, Alfred Twu.

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November 05, 2022
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November 05, 2022
November 05, 2022 · Original source
...e A Candidate Statement Pycea : I would guess that Newsom doesn't have a candidate statement because they're only allowed for people who accept campaign spending limits, see https://www.sos.ca.gov/elections/candidate-statements . Which means he's spending over $9.7 million on this election. And Steven Buss : Yep, Pycea is correct. See https://www.sos.ca.gov/elections/candidate-statements for th...
...imits, see https://www.sos.ca.gov/elections/candidate-statements . Which means he's spending over $9.7 million on this election. And Steven Buss : Yep, Pycea is correct. See https://www.sos.ca.gov/elections/candidate-statements for the rules, and https://elections.cdn.sos.ca.gov/statewide-elections/2022-general/statewide-501-report.pdf for which candidates did or did not accept the spending lim...
California State Assembly

California State Assembly is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 24, 2022 and May 24, 2022. The archive places it in contexts such as "He was the former Republican leader in the California State Assembly". It most often appears alongside #Abolitionist, #AntiNazi, #antiwar.

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May 24, 2022
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May 24, 2022
May 24, 2022 · Original source
Brian Dahle is another more serious candidate. He was the former Republican leader in the California State Assembly, which is probably a lot like being a snowplow driver in Libya.
California state Democratic Party

California state Democratic Party is a recurring organization 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 "having the California state Democratic Party out for your head". It most often appears alongside 2003 recall election, Arnold Schwarzenegger, Barbara Fried.

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August 25, 2021
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August 25, 2021
August 25, 2021 · Original source
Maybe you should actually be scared of the California Democratic Party and its demand that no Democrat stand as a replacement for Governor Newsom? I think this makes sense if you want a future career in California state politics; probably they can blacklist you forever if you cross them. But I wasn’t expecting to have a future career in California state politics, neither were you, and probably neither was Kevin Paffrath. That’s why we would have been able to take this weird opportunity that all the real politicians turned down. Also, given the level of competence they’ve shown here, having the California state Democratic Party out for your head is probably the surest path to a long and healthy life.
California State Water Project

California State Water Project is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 30, 2021 and April 30, 2021. The archive places it in contexts such as "The Wizardly California State Water Project transformed a desert into the most productive farmland". It most often appears alongside AI, AI research, Air.

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April 30, 2021
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April 30, 2021
April 30, 2021 · Original source
In "Water," again, the Wizards have a solid track record. The Wizardly California State Water Project transformed a desert into the most productive farmland and state in the nation; the National Water Carrier Project of Israel-Palestine made life in the Fertile Crescent possible for millions of Jewish refugees. Desalination projects (expensive, but with nearly bottomless potential, given how huge our oceans are) have de-escalated the fight for shrinking groundwater resources in California and the Middle East. In this arena, the Prophets have been a little more successful in offering alternative conservation-oriented solutions that have stuck: storm and wastewater reclamation, drip irrigation, and behavioral change campaigns to encourage more frugal water usage that have seeped (pun intended) so deeply into the public consciousness that running the tap while brushing your teeth feels as illicit as lighting up a cigarette. All of these measures do little, though, to solve the fundamental underlying problem of massive urban growth in water-scarce areas like the American Sunbelt; if anything, growing water efficiency among consumers exacerbates the problem by shrinking utility profits and forcing them to either cut back on much-needed infrastructure repair and service improvement or raise water costs. Conservation and reclamation can only do so much; they can’t provide water to the exploding populations of Arizona or Sub-Saharan Africa.
I think not many people (especially not those that live there!) realize that California mostly looks like the yellowish-brownish parts of this picture, and also that it’s the number one agricultural producer in the US, ahead of what we typically think of as Corn Country or Beef Country of whatever. Thanks, Wizardry! In "Fire," the line between Wizardry and Prophetry seems the most slippery – is solar power an example of a cutting-edge technological solution to a seemingly intractable growth problem (in which case it would be firmly in the Wizard camp) or an environmentally-friendly alternative to "dirty" Wizard technology like fracking and nuclear power plants (in which case, it should belong to the Prophets)? Mann places it more in the Prophet category, but an important point he makes is that, before fears of climate change displaced the locus of the argument surrounding oil, the Prophets’ party line was that alternative "clean" energy solutions like solar were desperately needed because the stock of oil in the world was running out – which so far has proven to be untrue. Much like "we’re running out of room for all these people!" or "we’re running out of space to house all this garbage!" this zombie conviction persisted for decades and seemed resistant to any evidence to the contrary. But if (big if!) carbon emission were of no concern, Wizards would have neatly won this fight through their development of more sophisticated oil extraction techniques and more energy-efficient machines, turning oil supply into a Zeno’s Paradox. Mann: "‘It is commonly asked, when will the world’s supply of oil be exhausted?’ wrote the MIT economist Morris Adelman. ‘The best one-word answer: never.’ On its face, this seems ridiculous – how could a finite stock be inexhaustible, when a constantly renewed flow can run out? But more than a century of experience has shown it to be true. [...] That is, fossil fuel supplies have no known bounds."
California Taxpayer Protection Committee

California Taxpayer Protection Committee is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "includes the California Taxpayer Protection Committee". It most often appears alongside ABSTAIN, Alex Padilla, American Nurses Association.

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1
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November 04, 2022
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November 04, 2022
November 04, 2022 · Original source
And yet the argument against is that we must never surrender to The Kidney One. As many times as it rises up to menace the Californian people, so many times shall we rally the defenders. This time the alliance of free races is called No On 29: Stop Yet Another Dangerous Dialysis Proposition, and includes the California Medical Association, Renal Physicians Association, American Nurses Association, California Chamber of Commerce, California Taxpayer Protection Committee, the NAACP, and every other group in California, even (really!) the Scottish-American Military Society.
Cambridge

Cambridge is a recurring organization 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 "admissions at Oxford/Cambridge". It most often appears alongside 417th Marquess of Cornwallshireshire, ACX, ACX.

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Cambridge
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December 09, 2022
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December 09, 2022
December 09, 2022 · Original source
Britain is a good example; not because it's the most illustrative, but just because it's the only country with whose popular culture the average American might be expected to be somewhat familiar. And it's a similar story, old moneyed elite getting kicked down by a new and supposedly-more-meritocratic elite. The process was perhaps a bit slower and a bit less complete (e.g. the new Prime Minister might be an Indian but he still went to Winchester). Among the many trends explaining this, I don't think admissions at Oxford/Cambridge are really close to the top, nor even admissions at Eton etc.
Cambridge Digital Minds

Cambridge Digital Minds is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 23, 2026 and February 23, 2026. The archive places it in contexts such as "The Cambridge Digital Minds group invites you to apply for their fellowship program". It most often appears alongside ACX, Bay Area, Bio Anchors.

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February 23, 2026
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February 23, 2026
February 23, 2026 · Original source
1: Are you interested in whether AIs are conscious, or what to do about it if they are/aren’t? The Cambridge Digital Minds group invites you to apply for their fellowship program. August 3-9, Cambridge UK, £1K stipend, learn more here, apply here by March 27.
Cambridge University Press

Cambridge University Press is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 21, 2021 and July 21, 2021. The archive places it in contexts such as "https://www.cambridge.org/core/journals/advances-in-psychiatric-treatment/article/expressed-emotion-across-cultures". It most often appears alongside 9/11, ACOUP, Adderall.

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July 21, 2021
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July 21, 2021
July 21, 2021 · Original source
https://www.cambridge.org/core/journals/advances-in-psychiatric-treatment/article/expressed-emotion-across-cultures/CC598258E8D8F7E0B4EFD9DA141A916C
cambridge.org

cambridge.org is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 21, 2021 and July 21, 2021. The archive places it in contexts such as "https://www.cambridge.org/core/journals/advances-in-psychiatric-treatment/article/express". It most often appears alongside 9/11, ACOUP, Adderall.

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cambridge.org
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July 21, 2021
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July 21, 2021
July 21, 2021 · Original source
https://www.cambridge.org/core/journals/advances-in-psychiatric-treatment/article/expressed-emotion-across-cultures/CC598258E8D8F7E0B4EFD9DA141A916C
CAMP

CAMP is a recurring organization 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 "They dismissed the old CAMP members"; "With their support, the CAMP (the Honduran governing body regulating ZEDEs) has passed a Honduran resolution"; "the CAMP (the Honduran governing body regulating ZEDEs)". It most often appears alongside Alaska, America, Amisulpride.

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CAMP
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April 14, 2021
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April 14, 2021
April 14, 2021 · Original source
Attention turned to a definitely-existing group called the Committee For Best Practices (CAMP in Spanish) which was handling the day-to-day negotiations. But its members seemed to have been hand-picked to raise eyebrows. They included Ronald Reagan’s adopted son, the foreign minister of Oman, US low tax campaigner Grover Norquist, and - in case there was a single conspiracy theorist anywhere in the world not already on high alert - a member of the Habsburg family. I would say this raises a lot of questions, but really the only question anyone had at the time was “what?”
This became part of a broader conflict in Honduran politics, which came to a head after the Supreme Court struck down a major police reform bill. Congress fired the four anti-government Supreme Court justices and replaced them with pro-government ones; opinions on the constitutionality of the move range from unclear to extremely skeptical. There was a big crisis for a while, various factions accused various other factions of plotting coups, but the government made it through. Three years later, they tried again with a ZEDE law, this one slightly amended to make it clear that the areas were still ultimately under Honduran sovereignty. The new packed-with-government-supporters Supreme Court pronounced it okay, and the law passed with the support of 78% (!) of Congress. They dismissed the old CAMP members and replaced them with people apparently inoffensive enough that nobody’s reported on who they are (I think one of them might be this guy).
Próspera has tried its best to repudiate these kinds of tactics. They’ve passed an internal resolution saying it’s illegal for Próspera to ever expropriate Honduran land without the owners’ consent. With their support, the CAMP (the Honduran governing body regulating ZEDEs) has passed a Honduran resolution saying it’s illegal for ZEDEs to expropriate Honduran land. Próspera’s current territory is a completely empty site where “in order to avoid claims of expropriation (which we somehow inexplicably got tarred with anyways), we [did] title research to ensure at no point in the property title's entire history has it ever been expropriated by the government.” Their stated policy is to only buy other empty land, from the landowner, with their consent.
CAMS

CAMS is a recurring organization 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 "CAMS scientists found a significant negative anomaly in Saharan dust aerosol transport". It most often appears alongside Abraham Davenport, AI Policy Institute, Arizona.

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CAMS
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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.
CAMSIS

CAMSIS is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 24, 2023 and May 24, 2023. The archive places it in contexts such as "going over CAMSIS occupational prestige data to try to figure out which of us married down". It most often appears alongside Almas, American study, AttractiveWorld.

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CAMSIS
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1
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May 24, 2023
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May 24, 2023
May 24, 2023 · Original source
My wife and I spent our date night going over CAMSIS occupational prestige data to try to figure out which of us married down. Highly recommended for a romantic time! You can get the occupation tables for Britain here. In theory you should be able to get the US versions here, but I can’t make it work.
Canadian International Development Agency

Canadian International Development Agency is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 27, 2022 and May 27, 2022. The archive places it in contexts such as "a joint venture funded by the Canadian International Development Agency". It most often appears alongside An Anthropologist Among the Mandarins, anti-politics machine, Basotho Congress Party.

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May 27, 2022
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May 27, 2022
May 27, 2022 · Original source
A story that plausibly explains these numbers (either a potential mechanism for an effect, or an explanation of why the effect turned out to be null) If these stories are challenged, it is not because there is no actual evidence for them, but because an economist in the audience has thought of their own preferred theory. If the speaker can find some data point that contradicts the questioner’s idea, this is thought to “confirm” the original story. Since audience members (who often have little specific knowledge of the region) are unlikely to ask questions like “what if this village just has an incredibly complicated set of social conventions around cattle that prevents their sale even without market barriers in place?” or “do the region’s economic challenges have more to do with this very specific regulation in South African immigration law?”, plausible-sounding stories that explain one or two numerical data points tend to gain traction in the literature whether or not they have anything to do with reality. Mark McGovern famously noted this trend in a review of two of Paul Collier’s books, writing: “Much of the intellectual heavy lifting in these books is in fact done at the level of implication or commonsense guessing. And the common sense is surely not that of the inhabitants of the countries being dissected, but that of the highly educated elite located primarily in Western Europe and North America. In those passages where Collier does lay out the thinking behind his explanations, they are always coherent and plausible, but the chain of causal relations makes it evident how fragile these models typically are.” The World Bank report’s fundamental misdiagnosis of the challenges Lesotho faced formed the basis for a series of failed “development initiatives”, most notably the Thaba-Tseka Development Project, a joint venture funded by the Canadian International Development Agency, the World Bank, the Government of Lesotho, and the UK Overseas Development Ministry. The project focused on providing technical solutions to the “problems” the World Bank report had identified: better agricultural techniques, easier access to markets, and increased government capacity to provide public goods. Each piece faced serious problems in execution, largely because interventions shown to have the sorts of “positive effects” randomized experiments might demonstrate elsewhere in Africa were not necessarily well suited to Lesotho’s unforgiving, mountainous terrain. But even more seriously, the project was so enveloped in “development discourse” that nobody thought to question whether they were working on problems their “recipients” cared about, or merely the ones the “tools of development” were capable of solving. As Ferguson writes, “The promise that crop farming could be revolutionized through the application of a well-known package of technical inputs was so firmly written into the project’s design that it was difficult for those on the scene to challenge it, or even to confront it.” Perhaps the only thing that has changed since Ferguson wrote is that we have tools to better identify these failures: the development literature continues to be littered with failed trials and interventions based on unchecked assumptions. One of the most famous is the British Department for International Development’s 90 million pound Tuungane project, whose Congolese incarnation sought to rebuild village governing institutions that the country’s civil war had destroyed. One of the most convincing explanations of its failure is that it may not have been necessary to begin with: the implementers do not seem to have checked whether the institutions had actually been weakened by violence, and baseline reports indicated that residents were relatively satisfied with village governance before the project even started! More research is needed to clarify the situation -- research which might have been useful to carry out before spending a £90 million on a “fix”. Part of this, perhaps, comes from the usual overconfidence that other social scientists like to accuse economists of. But there are much bigger systemic problems at play. Development work tends to run on short timelines: grad students and postdocs need to publish quickly for their careers to advance, NGO funding runs on 5-ish year cycles, and charities (particularly in “high-risk” areas) face extremely high employee turnover rates. This simultaneously limits the accumulation of institutional knowledge, while incentivizing practitioners away from the time-intensive process of understanding a particular context in favor of “getting results quick.” Similarly, the recent introduction of experimental evidence to the development field is a wondrous thing, but the revolution has to continue: randomized experiments can tell us about the effect an intervention had somewhere, but even the best methods of applying this kind of evidence to a specific context remain somewhat arbitrary and subjective. As EA begins to fund more complex (but potentially more effective) interventions, a key step will be to get a more systematic handle on how to gather evidence about specific places-- countries, states, even villages -- and how to match the tools we have to people who might benefit from them. II. The Trouble with Technocrats “But even if the project was in some sense a ‘failure’ as an agricultural development project, it is indisputable that many of its ‘side effects’ had a powerful and far-reaching impact on the Thaba-Tseka region. [...] Indeed, it may be that in a place like Mashai, the most visible of all the project’s effects was the indirect one of increased Government military presence in the region” As the program continued to unfold, the development officials became more and more disillusioned -- not with their own choices, but with the people of Thaba-Tseka, who they perceived as petty, apathetic, and outright self-destructive. A project meant to provide firewood failed because locals kept breaking into the woodlots and uprooting the saplings. An experiment in pony-breeding fell apart when “unknown parties” drove the entire herd of ponies off of cliffs to their deaths. Why, Ferguson’s official contacts bemoaned, weren’t the people of Thaba-Tseka committed to their own “development”? Who could possibly be opposed to trees and horses? Perhaps, the practitioners theorized, the people of Thaba-Tseka were just lazy. Perhaps they “didn’t want to be better.” Perhaps they weren’t in their right mind or had made a mistake. Perhaps poverty makes a person do strange things. Or, as Ferguson points out, perhaps their anger had something to do with the fact that the best plots of land in the village had been forcibly confiscated to make room for wood and pony lots, without any sort of compensation. The central government was all too happy to help find land for the projects, which they took from political enemies and put in the control of party elites, especially when it could use a legitimate anti-poverty program as cover. In Ferguson’s words, the development project was functioning as an “anti-politics machine” the government could use to pretend political power moves were just “objective” solutions to technical problems. A local student’s term paper captured the general discontent: “In spite of the superb aim of helping the people to become self-reliant, the first thing the project did was to take their very good arable land. When the people protested about their fields being taken, the project promised them employment. [...] It employed them for two months, found them unfit for the work, and dismissed them. Without their fields and without employment they may turn up to be very self-reliant. It is rather hard to know.” Two things stand out to me from this story. First, the “development discourse” lens served to focus the practitioners’ attention on a handful of technical variables (quantity of wood, quality of pony), and kept them from thinking about any repercussions they hadn’t thought to measure. This is a serious problem, because “negative effects on things that aren’t your primary outcome” are pretty common in the development literature. High-paying medical NGOs can pull talent away from government jobs. Foreign aid can worsen ongoing conflicts. Unconditional cash transfers can hurt neighbors who didn’t receive the cash. And the literature we have is implicitly conditioned on “only examining the variables academics have thought to look at” -- surely our tools have rendered other effects completely invisible! Second, the project organizers somewhat naively ignored the political goals of the government they’d partnered with, and therefore the extent to which these goals were shaping the project. Lesotho’s recent political history had been tumultuous. The Basotho Nationalist Party (BNP), having gained power upon independence in 1965, refused to give up power after losing the 1970 elections to the Basotho Congress Party (BCP). Blaming the election results on “communists”, BNP Prime Minister Leabua Jonathan declared a state of emergency and began a campaign of terror, raiding the homes of opposition figures and funding paramilitary groups to intimidate, arrest, and potentially kill anyone who spoke up against BNP rule. This had significant effects in Thaba-Tseka, where “villages [...] were sharply divided over politics, but it was not a thing which was discussed openly” due to a fully justified fear of violence. The BNP, correctly sensing the presence of a substantial underground opposition, placed “development committees” in each village, which served primarily as local wings of the national party. These committees spied on potential supporters of the now-outlawed BCP and had deep connections to paramilitary “police” units. When the Thaba-Tseka Development Project started, its international backers partnered directly with the BNP leadership, reasoning that sustainable development and public goods provision could only happen through a government whose role they primarily viewed as bureaucratic. As a result, nearly every decision had to make its way through the village development committees, who used the project to pursue their own goals: jobs and project funds found their way primarily to BNP supporters, while the “necessary costs of development” always seemed to be paid by opposition figures. The funding coalition ended up paying for a number of projects that reinforced BNP power, from establishing a new “district capital” (which conveniently also served as a military base) to constructing new and better roads linking Thaba-Tseka to the district and national capitals (primarily helping the central government tax and police an opposition stronghold). Anything that could be remotely linked to “economic development” became part of the project as funders and practitioners failed to ask whether government power might have alternate, more concerning effects. As we saw earlier, the population being “served” saw this much more clearly than the “servants”, and started to rebel against a project whose “help” seemed to be aimed more at consolidating BNP control than meeting their own needs. When they ultimately resorted to killing ponies and uprooting trees, project officials infatuated with “development” were left with “no idea why people would do such a thing,” completely oblivious to the real and lasting harm their “purely technical decisions” had inflicted. Have any EA projects had this sort of unexpected political side effect? I think it’s genuinely hard to tell without further research, but the possibility is frightening. (There’s been a little bit of research on the quantitative side --Recent research has found, for instance, that GiveDirectly’s 2014 unconditional cash transfer trial increased community participation but did not change voting patterns, so at least in 2014 the Kenyan government wasn’t using the program to stay in power. Was this the right question to test? I am not sure, especially without a more qualitative survey to see if there are other avenues we should be worried about.) III. Takeaways for Effective Altruism So what do we do as effective altruists (hereafter “EAs”)? I see three key takeaways. The first is a clear need for more qualitative research. GiveWell makes some qualitative judgments about charities, but Ferguson’s work illustrates the need for qualitative evaluation of the interventions themselves to see if the underlying studies have captured all of the “right” variables. Randomized experiments are really good at testing hypotheses, but by their very nature they can’t tell you about variables you didn’t decide ahead of time to measure. Are there significant side effects (positive or negative) we’ve missed from massive malaria net distributions? I don’t know, but if so they are not likely to be discovered by a bunch of Americans and Europeans sitting in a room and trying to guess the best things to measure. Rather, they’re probably already known (or suspected) by the people experiencing them, and a first step to finding out is going and asking them. (A second step is finding the right people to ask them -- real expertise in qualitative research is a rare and valuable skill.) Of course, qualitative research is messy and sometimes the people you interview are wrong or have other agendas. So once we have an “on-the-ground” hypothesis or concern, there will often be good reason to use a randomized trial or quasi-experimental method to test it or try to understand how much of a concern it might be! This sort of interdisciplinary approach is starting to gain traction in academia, but it has yet to be seriously applied in the EA sphere. There’s another angle to this: Ferguson’s most incisive insights arise not from studying the people being “served”, but by studying the development practitioners themselves. Other social scientists have continued this trend, from McGovern’s An Anthropologist Among the Mandarins and Robinson’s How Different Social Scientists Think to Marchais, Bazuzi, and Lameke’s The Data is Gold, and We Are The Gold-Diggers and Omar Bah’s webcomic Mzungus in Development and Governments. Each new paper illuminates the research process in new ways, and provides tools both to do better research and to identify potential weaknesses in the pre-existing literature. I think one of the highest impact investments an Effective Altruist fund could make right now would be to hire a handful of trained anthropologists (or other outside experts in qualitative research / ethnography) to hang out in places like GiveWell or the Machine Intelligence Research Institute for a few years and really study how effective altruism works as a system. How are decisions being made, and how is evidence being used to make them? What does “EA discourse” help make visible and which problems and concerns does it hide from our view? How do the positionalities of typical EA researchers affect their views of what’s important or what’s plausible? I have my guesses, and I’m sure you have yours. But I had my guesses about development economics, too, and I missed nearly everything Ferguson (and the authors mentioned two paragraphs up) uncovered. What more are we missing? The second is an emphasis on local context. As funding gaps for “low hanging fruit” like malaria disappear, EA is going to have to focus on more complicated interventions, which are likely to be fairly context-specific -- after all, why should an agriculture program that works in the flattest parts of the Sahel be expected to work the same way in the Maloti Mountains? Ferguson notes about several of the Thaba-Tseka project’s failed arms: “Tanzania may be very different from Lesotho on the ground, but, from the point of view of a development agency’s head office, both may be simply ‘the Africa desk’. In the Thaba-Tseka case, at least, the original project planners knew little about Lesotho’s specific history, politics, and sociology; they were experts on ‘livestock development in Africa,’ and drew largely on experience in East Africa.” For any sort of context-specific intervention to work, an intimate knowledge of the specific history, needs, and geography of individual villages and regions is necessary. The development world has slowly made steps in this direction, but it’s not clear to me that the EA community has a clear way of acquiring, accessing, or working with this information. I don’t think there’s a magic bullet to solve this problem, but in the long run any solution will probably need to involve a) on-the-ground, qualitative research and b) real representation in the EA network from areas EA organizations are interested in working. The development industry has a shameful history of infantilizing and ignoring the opinions of “locals”, and I think the conversations I’m starting to see in EA about diversity and representation of different parts of the Global South need to continue if we’re going to get enough serious knowledge of local contexts to effectively direct funding. The third is a continued need to take politics seriously. This is one of the most challenging issues in charitable giving: when is it okay to work with a government doing terrible things to deliver humanitarian aid? To what extent does an NGO feeding the hungry lend its legitimacy to or cover for an authoritarian regime’s misdeeds? I don’t have anything close to a full answer (and I don’t think anyone does), but Ferguson’s work exposes a possibility I hadn’t thought of before, in which “technical” and “apolitical” projects can expand the power of the state in unforeseen and potentially dangerous ways. After writing The Anti-Politics Machine, Ferguson largely gave up on the idea of charitable or state-based aid. (Understandably, I think, given that he spent most of a decade watching its most horrific side effects first-hand). It’s ironic, then, that I think his book’s practical value is greatest to those of us who still hold onto hope in its possibilities. May we have ears to hear the voices telling us where our work has fallen short, and eyes to see what it could become. Footnotes Ferguson pg. 55
Canadian university

Canadian university is a recurring organization 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 "done by bigshot researchers from a major Canadian university". It most often appears alongside ACE-2 receptor, ACSH, Ahmed et al.

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Canadian university
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1
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November 17, 2021
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November 17, 2021
November 17, 2021 · Original source
95% of ivermectin patients got negative PCRs at some time point, compared to 75% of controls, p = 0.004. I am pretty suspicious of this study, not least because it comes from Egypt which has an awful reputation for fake studies, and it returns extreme results that I wouldn’t expect even if ivermectin was actually a wonder drug. But I cannot find any particular thing wrong with it, nor did anyone else I looked at, so I will grudgingly let it stand. Krolewiecki et al: Another Argentine study. This one is a real RCT. 30 patients received ivermectin, 15 were the control group (no placebo, again). Primary outcome was difference in viral load on day 5. The trend favored ivermectin but it was not statistically significant, although they were able to make it statistically significant if they looked at a subset of higher-IVM-plasma-concentration patients. They did not find any difference in clinical outcomes. A pro-ivermectin person could point out that in the subgroup with the highest ivermectin concentrations, the drug seemed to work. A skeptic could point out that this is exactly the kind of subgroup slicing that you are not supposed to do without pre-registering it, which I don’t think this team did. I agree with the skeptic. Vallejos et al: Another Argentine study. It’s big (250 people in each arm). It’s an RCT. It tries to define a primary outcome (“Primary outcome: the trial ended when the last patient who was included achieved the end of study visit”), but that’s not what “primary outcome” means, and they don’t offer an alternative. Other outcomes: no difference in PCR on days 3 or 12. Hospitalization is nonsignificantly better in the ivermectin group (14 vs. 21, p = 0.2), but death is nonsigificantly better in the placebo group (3 vs. 4, p = 0.7). This isn’t even the kind of nonsignificant that might contribute to an exciting meta-analysis later. This is just a pure null result. I cannot find any problem with this study, and neither can anyone else I checked. This is the biggest RCT we’ve seen so far, so we should take it seriously. TOGETHER Trial: Speaking of big RCTs… This one hasn’t been published yet. There’s a video of a talk about it, but I am not going to watch it, because it is a video, so I am getting information secondhand from eg here. Apparently, it compares 677 people (!) randomized to ivermectin to 678 people randomized to placebo. 86 ivermectin patients ended up in the hospital compared to 95 placebo patients, p-value not significant. This was a really big professional trial done by bigshot researchers from a major Canadian university, and the medical establishment is taking it much more seriously than any of these others. When it comes out, it will probably get published in a top journal. When discussing Lopez-Medina, I wrote: When people say things like “sure, a lot of small studies show good results for ivermectin, but the bigger and more professional trials don’t”, this is one of the two big professional trials they’re talking about. This is the other one. Not coincidentally, it’s also the other trial that ivmmeta.com has a warning letter underneath telling you to disregard. Their main concern is that instead of truly randomizing patients to ivermectin vs. placebo, they did a time-dependent randomization that meant during some weeks more patients were getting one or the other. This is a problem because the trial takes place in Brazil, where different variants were more common at different times. Here’s their image: On the one hand, I have immense contempt for ivmmeta for letting all those other awful studies pass and then pulling out all the stops to try to nitpick this one. I have no idea if their proposed randomization failure really happened. And no doubt the reason they’re even able to investigate this is that this study is really careful and transparent - most of them don’t tell you anything about their randomization method. I would be shocked if other studies don’t have all these problems and worse. On the other hand, the point isn’t to be fair, it’s to be right. And this is a potential confounder. Not a huge one. But a potential one. I guess all we can do is try to bound the damage. Even if the confounding is 100% real and bad, there’s no way to make this study consistent with the crazy super-pro-ivermectin results of studies like Espitia-Hernandez and Aref. And even if we deny any confounding, we see the same slight pro-ivermectin trend - 86 hospitalizations vs. 95 - that we’ve seen in so many other studies. Nothing is going to make me believe that this isn’t in the top 33% of studies we’ve been looking at, so let’s add it as grist for the meta-analysis (though maybe not quite as much grist as its vast size indicates) and move on, angrily. Buonfrate et al: An Italian RCT. Patients were randomized into low-dose ivermectin (32), placebo (29), or high-dose ivermectin (32). Primary outcome was viral load on day 7. There was no significant difference (average of 2 in ivermectin groups, 2.2 in placebo group). They admit that they failed to reach the planned sample size, but did a calculation to show that even if they had, the trial could not have returned a positive result. Clinically, an average of 2 patients were hospitalized in each of the ivermectin arms, compared to 0 in the placebo arm - which bucks our previously-very-constant pro-ivermectin trend. Mayer et al: Not an RCT. Patients in an Argentine province were offered the opportunity to try ivermectin; 3266 said yes and become the experimental group, 17966 said no and became the control group. There were many obvious differences between the groups, but they all seemed to handicap ivermectin. There was a nonsignificant trend toward less hospitalization and significantly less mortality (1.5% vs. 2.1%, p = 0.03). While looking into this study, I learned the term “immortal time bias”. This means a period in between selection for the study and the beginning of study recording where patient outcomes are not counted. I think the problem here is that if you signed up for the system on Day X, and if you got sick before they could give you ivermectin, you were in the control group. See this Twitter thread, I have not confirmed everything he says. This only hardens my resolve to stay away from non-RCTs. Borody et al: Our last paper! …is it a paper? I can’t find it published anywhere. It mostly seems to be on news sites. Doesn’t look peer-reviewed. And it starts with “Note that views expressed in this opinion article are the writer’s personal views”. Whatever. 600 Australians were treated with ivermectin, doxycycline, and zinc. The article compares this to an “equivalent control group” made of “contemporary infected subjects in Australia obtained from published Covid Tracking Data”; this is not how you control group, @#!% you. Then it gets excited about the fact that most patients had better symptoms at the end of the ten-day study period than the beginning (untreated COVID resolves in about ten days). Why are these people wasting my time with this? Let’s move on. The Analysis If we remove all fraudulent and methodologically unsound studies from the table above, we end up with this: Gideon Meyerowitz-Katz, who investigated many of the studies above for fraud, tried a similar exercise. I learned about his halfway through, couldn’t help seeing it briefly, but tried to avoid remembering it or using it when generating mine (also, I did take the result of his fraud investigations into account), so they should be considered not quite independent efforts. His looks like this: He nixed Chowdhury, Babaloba, Ghauri, Faisal, and Aref, but kept Szenta Fonseca, Biber (?), and Mayer. There was correlation of 0.45, which I guess is okay. I asked him about his decision-making, and he listed a combination of serious statistical errors and small red flags adding up. I was pretty uncomfortable with most of these studies myself, so I will err on the side of severity, and remove all studies that either I or Meyerowitz-Katz disliked. We end up with the following short list: We’ve gone from 29 studies to 11, getting rid of 18 along the way. For the record, we eliminated 2/19 for fraud, 1/19 for severe preregistration violations, 10 for methodological problems, and 6 because Meyerowitz-Katz was suspicious of them. …but honestly this table still looks pretty good for ivermectin, doesn’t it? Still lots of big green boxes. Meyerowitz-Katz accuses ivmmeta of cherry-picking what statistic to use for their forest plot. That is, if a study measures ten outcomes, they sometimes take the most pro-ivermectin outcome. Ivmmeta.com counters that they used a consistent and reasonable (if complicated) process for choosing their outcome of focus, that being: If studies report multiple kinds of effects then the most serious outcome is used in calculations for that study. For example, if effects for mortality and cases are both reported, the effect for mortality is used, this may be different to the effect that a study focused on. If symptomatic results are reported at multiple times, we used the latest time, for example if mortality results are provided at 14 days and 28 days, the results at 28 days are used. Mortality alone is preferred over combined outcomes. Outcomes with zero events in both arms were not used (the next most serious outcome is used — no studies were excluded). For example, in low-risk populations with no mortality, a reduction in mortality with treatment is not possible, however a reduction in hospitalization, for example, is still valuable. Clinical outcome is considered more important than PCR testing status. When basically all patients recover in both treatment and control groups, preference for viral clearance and recovery is given to results mid-recovery where available (after most or all patients have recovered there is no room for an effective treatment to do better). If only individual symptom data is available, the most serious symptom has priority, for example difficulty breathing or low SpO2 is more important than cough. I’m having trouble judging this, partly because Meyerowitz-Katz says ivmmeta has corrected some earlier mistakes, and partly because there really is some reasonable debate over how to judge studies with lots of complicated endpoints. By this point I had completely forgotten what ivmmeta did, so I independently coded all 11 remaining studies following something in between my best understanding of their procedure and what I considered common sense. The only exception was that when the most severe outcome was measured in something other than patients (ie average number of virus copies per patient), I defaulted to one that was measured in patients instead, to keep everything with the same denominator. My results mostly matched ivmmeta’s, with one or two exceptions that I think are within the scope of argument or related to my minor deviations from their protocol. Placebo vs. ivermectin groups sometimes differed in size, which I’ve adjusted for and rounded off. Probably I’m forgetting some reason I can’t just do simple summary statistics to this, but whatever. It is p = 0.15, not significant. This is maybe unfair, because there aren’t a lot of deaths in the sample, so by focusing on death rather than more common outcomes we’re pointlessly throwing away sample size. What happens if I unprincipledly pick whatever I think the most reasonable outcome to use from each study is? I’ve chosen “most reasonable” as a balance between “is the most severe” and “has a lot of data points”: Now it’s p = 0.04, seemingly significant, but I had to make some unprincipled decisions to get there. I don’t think I specifically replaced negative findings with positive ones, but I can’t prove that even to myself, let alone to you. [UPDATE 5/31/22: A reader writes in to tell me that the t-test I used above is overly simplistic. A Dersimonian-Laird test is more appropriate for meta-analysis, and would have given 0.03 and 0.005 on the first and second analysis, where I got 0.15 and 0.04. This significantly strengthens the apparent benefit of ivermectin from ‘debatable’ to ‘clear’. I discuss some reasons below why I am not convinced by this apparent benefit.] (how come I’m finding a bunch of things on the edge of significance, but the original ivmmeta site found a lot of extremely significant things? Because they combined ratios, such that “one death in placebo, zero in ivermectin” looked like a nigh-infinite benefit for ivermectin, whereas I’m combining raw numbers. Possibly my way is statistically illegitimate for some reason, but I’m just trying to get a rough estimate of how convinced to be) So we are stuck somewhere between “nonsignificant trend in favor” and “maybe-significant trend in favor, after throwing out some best practices”. This is normally where I would compare my results to those of other meta-analyses made by real professionals. But when I look at them, they all include studies later found to be fake, like Elgazzar, and unsurprisingly come up with wildly positive conclusions. There are about six in this category. One of them later revised their results to exclude Elgazzar and still found strong efficacy for ivermectin, but they still included Niaee and some other dubious studies. The only meta-analysis that doesn’t make these mistakes is Popp (a Cochrane review), which is from before Elgazzar was found to be fraudulent, but coincidentally excludes it for other reasons. It also excludes a lot of good studies like Mahmud and Ravakirti because they give patients other things like HCQ and azithromycin - I chose to include them, because I don’t think they either work or have especially bad side effects, so they’re basically placebo - but Cochrane is always harsh like this. They end up with a point estimate where ivermectin cuts mortality by 40% - but say the confidence intervals are too wide to draw any conclusion. I think this basically agrees with my analyses above - the trends really are in ivermectin’s favor, but once you eliminate all the questionable studies there are too few studies left to have enough statistical power to reach significance. Except that everyone is still focusing on deaths and hospitalizations just because they’re flashy. Mahmud et al, which everyone agrees is a great study, found that ivermectin decreased days until clinical recovery, p = 0.003? So what do you do? This is one of the toughest questions in medicine. It comes up again and again. You have some drug. You read some studies. Again and again, more people are surviving (or avoiding complications) when they get the drug. It’s a pattern strong enough to common-sensically notice. But there isn’t an undeniable, unbreachable fortress of evidence. The drug is really safe and doesn’t have a lot of side effects. So do you give it to your patients? Do you take it yourself? Here this question is especially tough, because, uh, if you say anything in favor of ivermectin you will be cast out of civilization and thrown into the circle of social hell reserved for Klan members and 1/6 insurrectionists. All the health officials in the world will shout “horse dewormer!” at you and compare you to Josef Mengele. But good doctors aren’t supposed to care about such things. Your only goal is to save your patient. Nothing else matters. I am telling you that Mahmud et al is a good study and it got p = 0.003 in favor of ivermectin. You can take the blue pill, and stay a decent respectable member of society. Or you can take the horse dewormer pill, and see where you end up. In a second, I’ll tell you my answer. But you won’t always have me to answer questions like this, and it might be morally edifying to observe your thought process in situations like this. So take a second, and meet me on the other side of the next section heading. … … … … … The Synthesis Hopefully you learned something interesting about yourself there. But my answer is: worms! As several doctors and researchers have pointed out (h/t especially Avi Bitterman and David Boulware), the most impressive studies come from places that are teeming with worms. Mahmud from Bangladesh, Ravakirti from East India, Lopez-Medina from Colombia, etc. 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.
Canberra Astral Codex Ten Meetup Group

Canberra Astral Codex Ten Meetup Group is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 10, 2023 and April 10, 2023. The archive places it in contexts such as "Event Link: https://www.meetup.com/canberra-astral-codex-ten-meetup-group/events/292816447". It most often appears alongside 100 Alexander St, 10004 Jasper Ave, Edmonton, AB T5J 1R3, 11841 Wagner St, Culver City, CA.

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April 10, 2023 · Original source
...nfo: Andy[dot]bachler[at]gmail[dot]com Time: May 8th, 06:00 PM Location: King O'Malleys Pub, the Snug Room, located in Civic. Coordinates: https://plus.codes/4RPFP4CJ+MC Event Link: https://www.meetup.com/canberra-astral-codex-ten-meetup-group/events/292816447 CHRISTCHURCH, NEW ZEALAND Contact: Gavin Contact Info: bisga673[at]student[dot]otago[dot]ac[dot]nz Time: May 5th, 05:00 PM Location:University of Canterbury Rātā (Engine...
CanShipMeds

CanShipMeds is a recurring organization 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 "you should be able to get semaglutides ... through CanShipMeds". It most often appears alongside Adam, AMG-133, amoxicillin suspension.

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November 30, 2022 · Original source
Re canada, if you are american and have a prescription you should be able to get semaglutides for a couple hundred dollars a month through CanShipMeds. (At least, you could as of a couple months ago).
Sorry, I’m still not understanding this. Usualy weight loss dose of Wegovy is 2.4 mg per week = ~10 mg per month. The best I can find on CanShipMeds is 1 mg pens for $300. Doesn’t that suggest you’d need ten of those = $3000 per month? Or am I misunderstanding and that’s supposed to be the price for a month’s worth of 1 mg pens?
Caremark

Caremark is a recurring organization 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 "https://www.caremark.com/portal/asset/z6500_drug_list807_OE.pdf". It most often appears alongside Adam, AMG-133, amoxicillin suspension.

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Caremark
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November 30, 2022 · Original source
Wegovy is on their formulary as a Tier 2 drug, meaning a copay of roughly $60/month. https://www.caremark.com/portal/asset/z6500_drug_list807_OE.pdf . I don’t know how common this will be in the coming year, but it’s a start.
Caritas Nigeria

Caritas Nigeria is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 29, 2025 and May 29, 2025. The archive places it in contexts such as "Sometimes they give the money to their local Catholic equivalent, like Caritas Nigeria". It most often appears alongside ACX Grants, ACX subreddit, Africa.

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Caritas Nigeria
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May 29, 2025 · Original source
The third-largest category (20%, so $300 million of their total $1.5 billion yearly budget) is the types of re-re-grants people are concerned about. Sometimes they give the money to their local Catholic equivalent, like Caritas Nigeria. In some war-torn places, they give the money to local groups that are already stuck in the war-torn area instead of trying to send American staffers in themselves - I think this is what’s going on in the Joint Emergency Operation in Tigray.
Carolina Demography

Carolina Demography is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 21, 2022 and September 21, 2022. The archive places it in contexts such as "According to Carolina Demography :". It most often appears alongside 1995 to 2000, Arizona, Atonio Avalos.

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Carolina Demography
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September 21, 2022 · Original source
V. So why is the Central Valley so bad? It’s an agricultural region, but lots of places are agricultural. It got lots of immigrants, but no more than many other places. It’s polluted - but so was LA, and LA rebounded. This is just a weak guess, but I think it starts with their crops. The Midwest grows mostly corn and wheat. The Central Valley is more fruits, vegetables, and nuts. Corn and wheat are easier to harvest, so middle-class farmers can own the farm and buy a mechanical harvester or something. Fruits, vegetables, and nuts benefit from intensive manual picking, so farm owners hire outside labor. According to Carolina Demography: There are about 3 million farmworkers in the United States: about two million are family farmworkers and another one million are hired farmworkers…nationally, about three-fourths of hired farmworkers are foreign-born; most (69%) were born in Mexico; 6% were born in Central America; and 1% were born in another country. Given that these are mostly Mexican immigrants, we’re probably not talking about people who are hired to grow corn in Kansas. I think plausibly the majority of US hired farmworkers live in California’s Central Valley. This makes it a sort of plantation agriculture system, which naturally tends towards landowners taking all the gains and workers ending up as an underclass. In the mid-20th century, the local plantation underclass was made of Okies (cf. The Grapes of Wrath). In the later 20th century, many immigrants moved in, lowering wages. Although immigrants don’t usually lower wages, this is because there are usually lots of industries for people to branch out into, but the Central Valley only has agriculture. Also, agribusinesses were becoming better at mechanizing their operations. Although technology doesn’t usually lower wages, again, this requires lots of diverse industries, and the Central Valley only had agriculture. All of this corresponds to the 1975-1985 period on the graphs where wages were going down. But it sounded from some of the testimonials above like the Central Valley didn’t become truly miserable until the late 90s. I’m not sure why this is. It could be the immigrants switching from being migrant laborers to raising families, and those families were impacted by poverty and inequality in a way the original migrants weren’t. It could be worsening drug problems as new drugs get invented and go down in price. (I’m not sure if NIMBYism and rising house prices also played a part. House prices do seem to have risen, a lot, but I was under the impression that building things in the Central Valley was easy and most of a house’s price there is construction rather than land. I’m not sure why house prices would have gone up so much since 1990 if this were true, though.) Other things that the articles I read emphasized: There’s a severe drought in the Central Valley right now. This is probably partly climate change, partly bad luck, and partly California diverting water to hydrate growing coastal cities. This has made everything worse (but then why isn’t that reflected in worsening economic statistics?)
Carter Center

Carter Center is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 03, 2026 and March 03, 2026. The archive places it in contexts such as "if the EAC, the OSCE, or the Carter Center notes". It most often appears alongside 2024 US election, 2026 elections, Agent Economy Of The Future.

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Carter Center
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March 03, 2026 · Original source
But Metaculus has a similar question noting that “This question may resolve as Yes [even] if the EAC, the OSCE, or the Carter Center notes only isolated problems or areas for improvement”, and it’s at 92%, which is reassuring.
Castillians

Castillians is a recurring organization 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 "the main contenders, the Portuguese and Castillians". It most often appears alongside Africa, Agamemnon, Age of Empires II.

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August 01, 2025 · Original source
This is an interesting one which I included chiefly because no American has ever heard of it. The English and the French were allied with the main contenders, the Portuguese and Castillians, but in spite of this it looked remarkably similar to any of the battles of the Hundred Years' War, complete with the Anglo-Portuguese Alliance routing enemies that outnumbered them six to one using archers, defensive terrain and their enemies' rashness.
Castro Government

Castro Government is a recurring organization 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 "43.3% of those surveyed consider that the Castro Government represents a negative change for [Honduras]". It most often appears alongside 101, ALUC, Antioch.

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Castro Government
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September 11, 2023 · Original source
Prospera predicts that the socialists won’t be able to establish a legal fig leaf for shutting them down before the political winds shift again and Honduras elects a different government. According to a May poll, “43.3% of those surveyed consider that the Castro Government represents a negative change for [Honduras], 35.5% see it as positive and 19.9% ​​think that it is more of the same.” The next election is in November 2025.
Catawba Digital Economic Zone

Catawba Digital Economic Zone is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 01, 2022 and August 01, 2022. The archive places it in contexts such as "The Catawba Digital Economic Zone is the brainchild of Joseph McKinney". It most often appears alongside Aerialoop, Al-Nasr, Bloomberg.

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  • 22 August 01, 2022
August 01, 2022 · Original source
Source: Neom website Fine! Let’s just have random stuff! Canal-pools along every street so you can swim to work! A beach made of crushed marble which will shine like silver! Whatever! If this were some billionaire’s passion project, I’d be fine with it. It would be fun to watch exactly how it failed; it would probably leave some cool ruins. Maybe after the hype died down they could try for something smaller, and it would still be pretty impressive. At least it would beat yet another megayacht. But in fact, this is the Crown Prince of Saudi Arabia, squandering public money. Not just renewable tax receipts, but the country’s accumulated oil windfall, just as the world tries to transition to renewable energy and the country risks never getting any oil windfall ever again. This is the money that should be going to the Saudi people having a future, and instead Mohammed bin Salman is spending it on playing some kind of demented desert version of SimCity, using a strategy that ten minutes playing actual SimCity could tell him was a bad idea. Neom represents all the worst parts of model cities. Dictators robbing the public purse to build cool monuments that make them feel special. Total lack of interest in workers, previous inhabitants, future inhabitants, or anyone except the very rich. “Sustainability”, “density”, and “liveability” as buzzwords to throw at foreign media, with no broader story for how any of this will improve the lives of real people or the cause of human freedom. I find model cities interesting and promising only insofar as I think some of them aren’t like Neom. Catawba Digital Economic Zone Haven’t heard much out of the crypto people recently, wonder what they’re up to: They seem to have gotten…an Indian tribe? That wasn’t on my bingo card for 2022. The Catawba Digital Economic Zone is the brainchild of Joseph McKinney (founder of the pro-charter-cities Startup Societies Foundation) and the Catawba Nation of Native Americans (a federally recognized tribe with a reservation in South Carolina). Indian tribes have regulatory independence from state governments, which some tribes have famously used to allow casinos in their territory. The Catawba are going one step further: they claim to have favorable cryptocurrency regulations which make it easier to register and operate your crypto company in Catawba territory than in the rest of the US. You can find their exact laws here, although they are long and in legalese. CoinDesk has an explainer of the crypto benefits, which seem to focus on digital asset regulations which “integrate digital assets under existing law”, including rights around disputes and loans. They also expect upcoming laws on DAOs, stablecoin, and banking. “Native American tribes” and “cryptocurrency” were not previously two concepts I associated closely with each other. But the Catawba were already a standout for their political savvy and economic ambitions, and they seem intimately involved here; the Zone is being run by “the business branch of the Catawba Indian Nation”, the commissioners are mostly Catawba citizens and tribal elders, and there are some nice touches like financial incentives for businesses that employ Catawba citizens. I like crypto as an insurance policy against oppressive governments, but I am not very bullish about it as an industry right now. Still, I am excited about the idea of Indian reservation charter cities - either in cooperation with outsiders like McKinney, or - who knows? - as grassroots designs from the tribes themselves. Reservation charter cities wouldn’t be the biggest deal. Tribes have substantial independence from state and local governments, but not much independence from the national government, and a lot of the dysfunction that needs escaping is at the federal level. Still, there are probably some niche opportunities; see eg Squamish tribe building skyscrapers on their land in Vancouver despite NIMBY opposition for one example of where this sort of idea could go. Seasteading In Paradise Malé is the capital of the Maldives, a tiny island nation in the Indian Ocean. It looks like this: One noticeable feature of Malé is its lack of lebensraum. Maldives is a pretty well-off country with a strong tourist industry, and lots more people would like to be nearby. What to do? You can already guess the proposed solution of Maldives Floating City. They want a 20,000 person seastead docked ten minutes away from the 130,000 person island-capital. The Floating City will serve both tourists and local Maldivians (some of whom are getting nervous about rising sea levels, and would probably appreciate a development guaranteed to stay above water). According to the organization’s press release, the Dutch corporate sponsor has obtained full permission to build the seastead, some test construction has already started, and full construction will begin in January. They hope to finish by 2027. Here are the inevitable pretty pictures: The layout is supposedly based on brain coral, but is this really the best way to lay design a seastead? Does this pattern really maximize the ease of getting from Point A to Point B? If you like tropical paradises and are incredibly optimistic, you can buy a house in the Floating City here, prices seem to be $150-250K. This is not the long-awaited dream of the libertarian seastead; the whole city will be firmly anchored in Maldives, both physically and legally. But if it works, it’s a proof of concept that libertarians may be able to build on later. Elsewhere In Model Cities 1: Prospera now hosts the drone delivery service Aerialoop, which will eventually transport cargo from their Roatan Island hub to various outposts on the mainland; you can find more information here. Their long-term plans include eventually following this up with passenger drones. And here’s some more information on the growing drone industry in Latin America. 2: Related: Prospera intern and resident George Kerpestein is writing a Substack about his experiences there. And here is the Prospera newsletter. 3: Thanks to commenters last month for pointing out that Chinese cult Falun Gong has its own compound/city in upstate New York. You can read more about it here: 4: Sealand is an independent nation (according to Sealand) based out of an old WWII sea fort in international waters. It is not for sale, but the Bull Sandfort is, for only £50,000. Alas, this one is firmly within British territorial waters. But it does look pretty defensible…anyway, see the listing here. Predictions In 2030, there are at least 50,000 people in whatever the Neom project has evolved into by then: 75%
They seem to have gotten…an Indian tribe? That wasn’t on my bingo card for 2022. The Catawba Digital Economic Zone is the brainchild of Joseph McKinney (founder of the pro-charter-cities Startup Societies Foundation) and the Catawba Nation of Native Americans (a federally recognized tribe with a reservation in South Carolina). Indian tribes have regulatory independence from state governments, which some tribes have famously used to allow casinos in their territory. The Catawba are going one step further: they claim to have favorable cryptocurrency regulations which make it easier to register and operate your crypto company in Catawba territory than in the rest of the US. You can find their exact laws here, although they are long and in legalese. CoinDesk has an explainer of the crypto benefits, which seem to focus on digital asset regulations which “integrate digital assets under existing law”, including rights around disputes and loans. They also expect upcoming laws on DAOs, stablecoin, and banking. “Native American tribes” and “cryptocurrency” were not previously two concepts I associated closely with each other. But the Catawba were already a standout for their political savvy and economic ambitions, and they seem intimately involved here; the Zone is being run by “the business branch of the Catawba Indian Nation”, the commissioners are mostly Catawba citizens and tribal elders, and there are some nice touches like financial incentives for businesses that employ Catawba citizens. I like crypto as an insurance policy against oppressive governments, but I am not very bullish about it as an industry right now. Still, I am excited about the idea of Indian reservation charter cities - either in cooperation with outsiders like McKinney, or - who knows? - as grassroots designs from the tribes themselves. Reservation charter cities wouldn’t be the biggest deal. Tribes have substantial independence from state and local governments, but not much independence from the national government, and a lot of the dysfunction that needs escaping is at the federal level. Still, there are probably some niche opportunities; see eg Squamish tribe building skyscrapers on their land in Vancouver despite NIMBY opposition for one example of where this sort of idea could go. Seasteading In Paradise Malé is the capital of the Maldives, a tiny island nation in the Indian Ocean. It looks like this: One noticeable feature of Malé is its lack of lebensraum. Maldives is a pretty well-off country with a strong tourist industry, and lots more people would like to be nearby. What to do? You can already guess the proposed solution of Maldives Floating City. They want a 20,000 person seastead docked ten minutes away from the 130,000 person island-capital. The Floating City will serve both tourists and local Maldivians (some of whom are getting nervous about rising sea levels, and would probably appreciate a development guaranteed to stay above water). According to the organization’s press release, the Dutch corporate sponsor has obtained full permission to build the seastead, some test construction has already started, and full construction will begin in January. They hope to finish by 2027. Here are the inevitable pretty pictures: The layout is supposedly based on brain coral, but is this really the best way to lay design a seastead? Does this pattern really maximize the ease of getting from Point A to Point B? If you like tropical paradises and are incredibly optimistic, you can buy a house in the Floating City here, prices seem to be $150-250K. This is not the long-awaited dream of the libertarian seastead; the whole city will be firmly anchored in Maldives, both physically and legally. But if it works, it’s a proof of concept that libertarians may be able to build on later. Elsewhere In Model Cities 1: Prospera now hosts the drone delivery service Aerialoop, which will eventually transport cargo from their Roatan Island hub to various outposts on the mainland; you can find more information here. Their long-term plans include eventually following this up with passenger drones. And here’s some more information on the growing drone industry in Latin America. 2: Related: Prospera intern and resident George Kerpestein is writing a Substack about his experiences there. And here is the Prospera newsletter. 3: Thanks to commenters last month for pointing out that Chinese cult Falun Gong has its own compound/city in upstate New York. You can read more about it here: 4: Sealand is an independent nation (according to Sealand) based out of an old WWII sea fort in international waters. It is not for sale, but the Bull Sandfort is, for only £50,000. Alas, this one is firmly within British territorial waters. But it does look pretty defensible…anyway, see the listing here. Predictions In 2030, there are at least 50,000 people in whatever the Neom project has evolved into by then: 75%
Catawba Nation

Catawba Nation is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 01, 2022 and August 01, 2022. The archive places it in contexts such as "the Catawba Nation of Native Americans (a federally recognized tribe with a reservation in South Carolina)". It most often appears alongside Aerialoop, Al-Nasr, Bloomberg.

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Catawba Nation
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August 01, 2022
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  • 22 August 01, 2022
August 01, 2022 · Original source
They seem to have gotten…an Indian tribe? That wasn’t on my bingo card for 2022. The Catawba Digital Economic Zone is the brainchild of Joseph McKinney (founder of the pro-charter-cities Startup Societies Foundation) and the Catawba Nation of Native Americans (a federally recognized tribe with a reservation in South Carolina). Indian tribes have regulatory independence from state governments, which some tribes have famously used to allow casinos in their territory. The Catawba are going one step further: they claim to have favorable cryptocurrency regulations which make it easier to register and operate your crypto company in Catawba territory than in the rest of the US. You can find their exact laws here, although they are long and in legalese. CoinDesk has an explainer of the crypto benefits, which seem to focus on digital asset regulations which “integrate digital assets under existing law”, including rights around disputes and loans. They also expect upcoming laws on DAOs, stablecoin, and banking. “Native American tribes” and “cryptocurrency” were not previously two concepts I associated closely with each other. But the Catawba were already a standout for their political savvy and economic ambitions, and they seem intimately involved here; the Zone is being run by “the business branch of the Catawba Indian Nation”, the commissioners are mostly Catawba citizens and tribal elders, and there are some nice touches like financial incentives for businesses that employ Catawba citizens. I like crypto as an insurance policy against oppressive governments, but I am not very bullish about it as an industry right now. Still, I am excited about the idea of Indian reservation charter cities - either in cooperation with outsiders like McKinney, or - who knows? - as grassroots designs from the tribes themselves. Reservation charter cities wouldn’t be the biggest deal. Tribes have substantial independence from state and local governments, but not much independence from the national government, and a lot of the dysfunction that needs escaping is at the federal level. Still, there are probably some niche opportunities; see eg Squamish tribe building skyscrapers on their land in Vancouver despite NIMBY opposition for one example of where this sort of idea could go. Seasteading In Paradise Malé is the capital of the Maldives, a tiny island nation in the Indian Ocean. It looks like this: One noticeable feature of Malé is its lack of lebensraum. Maldives is a pretty well-off country with a strong tourist industry, and lots more people would like to be nearby. What to do? You can already guess the proposed solution of Maldives Floating City. They want a 20,000 person seastead docked ten minutes away from the 130,000 person island-capital. The Floating City will serve both tourists and local Maldivians (some of whom are getting nervous about rising sea levels, and would probably appreciate a development guaranteed to stay above water). According to the organization’s press release, the Dutch corporate sponsor has obtained full permission to build the seastead, some test construction has already started, and full construction will begin in January. They hope to finish by 2027. Here are the inevitable pretty pictures: The layout is supposedly based on brain coral, but is this really the best way to lay design a seastead? Does this pattern really maximize the ease of getting from Point A to Point B? If you like tropical paradises and are incredibly optimistic, you can buy a house in the Floating City here, prices seem to be $150-250K. This is not the long-awaited dream of the libertarian seastead; the whole city will be firmly anchored in Maldives, both physically and legally. But if it works, it’s a proof of concept that libertarians may be able to build on later. Elsewhere In Model Cities 1: Prospera now hosts the drone delivery service Aerialoop, which will eventually transport cargo from their Roatan Island hub to various outposts on the mainland; you can find more information here. Their long-term plans include eventually following this up with passenger drones. And here’s some more information on the growing drone industry in Latin America. 2: Related: Prospera intern and resident George Kerpestein is writing a Substack about his experiences there. And here is the Prospera newsletter. 3: Thanks to commenters last month for pointing out that Chinese cult Falun Gong has its own compound/city in upstate New York. You can read more about it here: 4: Sealand is an independent nation (according to Sealand) based out of an old WWII sea fort in international waters. It is not for sale, but the Bull Sandfort is, for only £50,000. Alas, this one is firmly within British territorial waters. But it does look pretty defensible…anyway, see the listing here. Predictions In 2030, there are at least 50,000 people in whatever the Neom project has evolved into by then: 75%
Catholic pilgrimage agency

Catholic pilgrimage agency is a recurring organization 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 "because they work with a Catholic pilgrimage agency". It most often appears alongside 1910s Portugal, 1999 British eclipse, 2017 US eclipse.

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October 01, 2025
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October 01, 2025 · Original source
Someone with access to a stream of Medjugorje pilgrims - either because they live in Medjugorje, or because they work with a Catholic pilgrimage agency, or because they attend a pilgrimage-heavy Catholic church - should survey them. What percent see the miracle? Are we able to correlate the percent who see the miracle on any given day with the weather conditions on that day? Do people who see the miracle at Medjugorje ever see it again after they go back home?
Catholic Relief Services

Catholic Relief Services is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 29, 2025 and May 29, 2025. The archive places it in contexts such as "To avoid accusations of cherry-picking, we’ll take the biggest one: Catholic Relief Services"; "compare to Catholic Relief Services’ 6%"; "Are they hiding in the 6% overhead in Catholic Relief Services?". It most often appears alongside ACX Grants, ACX subreddit, Africa.

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May 29, 2025 · Original source
Let’s consider a typical USAID partner NGO. To avoid accusations of cherry-picking, we’ll take the biggest one: Catholic Relief Services, which operates a series of clinics throughout Africa. USAID gives them about $500 million per year, and they get another $1 billion from other donors.
The 8% number comes from Mercatus’ 990 form here - management + general + fundraising as a percent of total expenses (again, compare to Catholic Relief Services’ 6%).
I keep hearing about how most USAID money goes to rich woke snobs who use it to throw parties celebrating how much better they are than you. But where are these people? Are they hiding in the 6% overhead in Catholic Relief Services? The 3.9% overhead in JHPIEGO? The Ukrainians? The African clinics? I hear a lot about how USAID is funding foreign journalists to be really liberal, but it looks like all “democracy and human rights” grants combined - the category that this would fall into - are 2-5% of the budget (and this category also includes a lot of things like election observers).
Catholic University of Argentina

Catholic University of Argentina is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 01, 2024 and October 01, 2024. The archive places it in contexts such as "The Catholic University of Argentina’s (UCA) observatory had estimated the poverty rate". It most often appears alongside Argentina, BUENOS AIRES, Emmanuel Macron.

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October 01, 2024 · Original source
The Catholic University of Argentina’s (UCA) observatory had estimated the poverty rate soared to 55.5% in the first quarter of the year before easing to 49.4% in the second quarter, giving a 52% average for the first six months of this year.
Cato Institute’s Center for Constitutional Studies

Cato Institute’s Center for Constitutional Studies is a recurring organization 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 "head of the Cato Institute’s Center for Constitutional Studies". It most often appears alongside Alaska, America, Amisulpride.

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April 14, 2021 · Original source
I don’t envy the PAC if they have adjudicate disputes involving, say, a doctor who has chosen to be regulated by the medical code of Norway suing her office building regulated by the laws of Houston, Texas. But they’re trying to rise to the occasion: their arbiters include a former Arizona Supreme Court judge, the head of the Cato Institute’s Center for Constitutional Studies, and “the first Chilean lawyer to obtain permission from the Berlin Bar Association to act as a legal advisor in Chilean law in Germany”, which I guess sounds like the level of convolutedness you would need to be experienced in to make this work.
CBS

CBS is a recurring organization 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 "national news networks, including NBC and CBS". It most often appears alongside 1 Kings 10-11, 2008 Democratic National Convention, Adam Scheffer.

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CBS
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September 29, 2022 · Original source
The first counterintuitive strategy was to pitch only the bloggers with the smallest audience possible. […] As ridiculous as it sounds, the coverage by these bottom-feeder press was the social proof that more prominent publications needed to piggyback on the story. Eventually, national news networks, including NBC and CBS, were interviewing the founders of the unknown startup that was housing the biggest political convention in history.
CCF

CCF is a recurring organization 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 "CCF will talk more about these kinds of considerations later.)"; "An example of one of CCF’s Monte Carlo analyses"; "she read CCF and was convinced". It most often appears alongside AGI, Ajeya Cotra, ancient Romans.

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CCF
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June 20, 2023 · Original source
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%?
An example of one of CCF’s Monte Carlo analyses. Here’s his median scenario, represented in two ways:
But a few months ago, Ajeya Cotra of Bio Anchors updated her estimate to 2040. Some of this update was because she read CCF and was convinced, but some was because of other considerations. Now CCF is later than (updated) Bio Anchors. Someone is wrong and needs to update, which might mean we should think of CCF as predicting earlier than 2043. I suggest discovering some new consideration which allows a revision to the mid-2030s, which would also match the current vibes.
CCFPD

CCFPD is a recurring organization 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 "https://www.ccfpd.org/Portals/0/Assets/PDF/Facts_Chart.pdf". It most often appears alongside AP News, Associated Press, Bitcoin.

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CCFPD
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August 25, 2021
August 25, 2021 · Original source
23. https://www.ccfpd.org/Portals/0/Assets/PDF/Facts_Chart.pdf
CCG

CCG is a recurring organization 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 "BPTs that modify CCG s’ GMS contracts". It most often appears alongside Alinea, Alp Blossom, Alpha Tolman.

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CCG
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January 19, 2022 · Original source
...tly 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 CCG s’ GMS contracts with PCN s?) But partly it’s because all national health systems are surprisingly similar. One of my favorite books is David Friedman’s Legal Systems Very Different From...
CECOT

CECOT is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 09, 2026 and February 09, 2026. The archive places it in contexts such as "60 Minutes / CECOT controversy". It most often appears alongside 60 Minutes, Astralcodexten Com, Brinedew.

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CECOT
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February 09, 2026
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February 09, 2026
February 09, 2026 · Original source
Was my summary of the 60 Minutes / CECOT controversy fair?
Cell Press

Cell Press is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 20, 2022 and May 20, 2022. The archive places it in contexts such as "Cell and other journals by its parent company, Cell Press". It most often appears alongside Aldous Huxley, Alexander Macmillan, Alfred Russel Wallace.

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Cell Press
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May 20, 2022
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May 20, 2022 · Original source
Cell and other journals by its parent company, Cell Press, tend to have amazingly aesthetic covers. That seems consistent with positioning as a luxury brand.
census.gov

census.gov is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 22, 2025 and May 22, 2025. The archive places it in contexts such as "It was higher. This is via census.gov". It most often appears alongside 2022 ACX survey, CDC, COVID.

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census.gov
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May 22, 2025
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May 22, 2025
May 22, 2025 · Original source
It was higher. This is via census.gov, from the National Center For Health Statistics:
Center for Addiction Science Policy & Research

Center for Addiction Science Policy & Research is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 29, 2024 and July 29, 2024. The archive places it in contexts such as "Nicholas Reville’s Center for Addiction Science Policy & Research is one of the first organizations thinking about this". It most often appears alongside 1906 SF earthquake, ACX, Argentine economy.

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1
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July 29, 2024
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July 29, 2024
July 29, 2024 · Original source
...rant applications relating to technical alignment, policy, law, et cetera. 2: I plan to write about GLP-1 receptor agonists for addiction pretty soon. Nicholas Reville’s Center for Addiction Science Policy & Research is one of the first organizations thinking about this from a public policy perspective, and they’re looking for a COO / Strategy Director . 3: Good comments on last week...
...der) is accepting grant applications relating to technical alignment, policy, law, et cetera. 2: I plan to write about GLP-1 receptor agonists for addiction pretty soon. Nicholas Reville’s Center for Addiction Science Policy & Research is one of the first organizations thinking about this from a public policy perspective, and they’re looking for a COO / Strategy Director . 3: Good comments on last week’s Links post: - Moral Particle on why it’s easy to ci...
Center For AI

Center For AI is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 28, 2021 and July 28, 2021. The archive places it in contexts such as "generic Center For AI that’s one thinkpiece away from cancelling all those programs". It most often appears alongside Acemoglu, China, COVID.

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Center For AI
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July 28, 2021
July 28, 2021 · Original source
This is the most sense I can make out of what Acemoglu is trying to do - but it’s still wrong, just for different reasons. Long-term-AI funding doesn’t come from some kind of generic Center For AI that’s one thinkpiece away from cancelling all those programs and redirecting the money to algorithmic bias. It comes from organizations like the Long-Term Future Fund and people like Elon Musk. And if LTF stopped donating to long-term AI research, they would probably spend the money on preventing nuclear war, pandemics, or other existential risks. If Elon Musk stopped donating to long-term AI research, he would probably spend the money on building a giant tunnel through the moon, or breeding half-Shiba-Inu mutant cybernetic warriors, or whatever else Elon Musk does. Neither one is going to give the money to near-term AI projects. Why would they?
Center for AI Policy

Center for AI Policy is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 03, 2025 and April 03, 2025. The archive places it in contexts such as "former executive director of the Center for AI Policy". It most often appears alongside AI Digest, AI Futures Project, Anthropic.

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Center for AI Policy
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April 03, 2025
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April 03, 2025
April 03, 2025 · Original source
Thomas Larsen, the former executive director of the Center for AI Policy, a group which advises policymakers on both sides of the aisle.
Center For Applied Rationality

Center For Applied Rationality is a recurring organization 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 "They founded a group called the Center For Applied Rationality (aka “CFAR”, yes, it’s a pun)". It most often appears alongside Amazon, Andrew Jackson, Barack Obama.

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1
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September 29, 2021
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September 29, 2021
September 29, 2021 · Original source
But Galef earned her celebrity status honestly, through long years of hard labor in the rationality mines. Back in ~2007, a bunch of people interested in biases and decision-making joined the “rationalist community” centered around the group blogs Overcoming Bias and Less Wrong. Around 2012, they mostly left to do different stuff. Some of them went into AI to try to save the world. Others went into effective altruism to try to revolutionize charity. Some, like me, got distracted and wrote a few thousand blog posts on whatever shiny things happened to catch their eyes. But a few stuck around and tried to complete the original project. They founded a group called the Center For Applied Rationality (aka “CFAR”, yes, it’s a pun) to try to figure out how to actually make people more rational in the real world.
Like - a big part of why so many people - the kind of people who would have read Predictably Irrational in 2008 or commented on Overcoming Bias in 2010 - moved on was because just learning that biases existed didn’t really seem to help much. CFAR wanted to find a way to teach people about biases that actually stuck and improved decision-making. To that end, they ran dozens of workshops over about a decade, testing various techniques and seeing which ones seemed to stick and make a difference. Galef is their co-founder and former president, and Scout Mindset is an attempt to write down what she learned.
Center for Conservation Biology

Center for Conservation Biology is a recurring organization 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 "president of Stanford’s Center for Conservation Biology". It most often appears alongside 60 Minutes, Adam Mastroianni, Adraste.

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1
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1
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May 15, 2023
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May 15, 2023
May 15, 2023 · Original source
Luckily for Ehrlich, no one cares. He remains a professor emeritus at Stanford, and president of Stanford’s Center for Conservation Biology. He has won practically every environmental award imaginable, including from the Sierra Club, the World Wildlife Fund, and the United Nations (all > 10 years after the Indian sterilization campaign he endorsed). He won the MacArthur “Genius” Prize ($800,000) in 1990, the Crafoord Prize ($700,000, presented by the King of Sweden) that same year, and was made a Fellow of the Royal Society in 2012. He was recently interviewed on 60 Minutes about the importance of sustainability; the mass sterilization campaign never came up. He is about as honored and beloved as it’s possible for a public intellectual to get.
Center for Economic Accountability

Center for Economic Accountability is a recurring organization 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 "That’s why the Center for Economic Accountability (CEA) works to change the way people think". It most often appears alongside 538, 55-gal drum, 750k horny men.

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February 03, 2022 · Original source
#57: Advocate Against Subsidies And Tax Breaks For Local Corporations America’s state and local governments hand out roughly $95 billion in tax breaks, grants and other forms of economic development subsidies every year. That’s enough money to fully fund the 11 smallest state government budgets, combined. It’s a market-distorting wealth transfer enabled by voters’ fears that without subsidies, all the jobs and prosperity will go someplace else. So long as those fears persist – and they’ve been cultivated by the political and corporate interests that benefit from this crony capitalism – it will be virtually impossible to implement evidence-based policy reforms. That’s why the Center for Economic Accountability (CEA) works to change the way people think and feel about economic development. This year, we’re taking on the challenge of improving the quality of local media coverage of economic development deals across the country. Currently, local news coverage tends to be dominated by pro-subsidy viewpoints and lacks critical context about costs and risks. That’s why we’re looking for support to develop and distribute the “Skeptical Reporter’s Guide to Covering Economic Development,” a resource for local journalists who want to get the story right but need help getting past press release talking points to the real story. The Guide will preemptively answer the questions we regularly get asked by reporters and help them uncover the “who, what, where, when and why” of corporate welfare. For more, visit economicaccountability.org/skepticalguide/.
Center for Future Generations

Center for Future Generations is a recurring organization 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 "Bengusu’s team at the Center for Future Generations works on producing similar scenarios". It most often appears alongside 2023, Aaron Silverbook, ACX Grants.

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October 13, 2025 · Original source
Bengusu Ozcan, $30K, to raise awareness on AGI among EU policymakers. We were encouraged by the reception of the AI 2027 scenario in the United States. Bengusu’s team at the Center for Future Generations works on producing similar scenarios in Europe and explaining them to EU policy-makers. Our grant helps pay for their facilities, administrative overhead, and a quantitative dashboard add-on to the scenario presentations.
center for inquiry

center for inquiry is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 24, 2025 and October 24, 2025. The archive places it in contexts such as "https://centerforinquiry.s3.amazonaws.com/wp-content/uploads/sites/29/2009/11/22164423/p14.pdf"; "https://centerforinquiry.s3.amazonaws.com/wp-content/uploads/sites/29/1980/04/22165441/p34.pdf". It most often appears alongside A Ordem, Abraham Lincoln, ACX.

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center for inquiry
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October 24, 2025 · Original source
But if He does try to trick people, He should succeed. I can’t say either of these two things with confidence. Doesn’t the Biblical God sort of try to trick Abraham into thinking he’s going to have to sacrifice his son? And what is God, anyway? Isn’t the whole world a product of God? Does the existence of mirages in the desert count as “God trying to trick people”? Does that fact that we know there are mirages imply that God failed? Still, Ethan’s take on the “sun” miracle of Fatima seems like an unusually clear-cut case of God trying to trick people and failing, and I’m uncomfortable with it. You can always add more overfitting. God’s goal was for the crowds at Fatima to be fooled, but then for Dalleur (2021) to figure it out, and so He achieved His goal perfectly. Okay. But speaking of overfitting… If I understand Ethan right, Fatima was an objective omnidirectional light show, plus a unidirectional heat ray. Ghiaie was a spotlight-shaped unidirectional lightshow. Benin City was a subjective omnidirectional light show limited to a single field, plus an objective unidirectional heat ray. God implemented all of these miracles in completely different ways. Why? Inscrutable God reasons. This isn’t a terrible answer. People often do things for reasons I can’t explain - if I could predict Trump’s behavior, my stock market returns would be much higher. And surely God, as a being with motives and knowledge far beyond my ken, should be even more incomprehensible. But there was an interesting recent Notes debate about a Bentham Bulldog’s post. BB said that atheists had many problems - how was the world created? how do you overcome skepticism? what happened at Fatima? - whereas theism only has one problem - the problem of evil. Evil is a big problem, but it’s at least nice to only have one. Some of the commenters - and I can no longer find the comment I liked anymore, but don’t take this as an original insight from me - pointed out that this is cheap. If you are an atheist, you need to answer many how questions. How did the miracle at Fatima happen? If you try to explain it with natural laws - for example, gravity - it’s fair for an interlocutor to point out that gravity can’t do that; it can only make things fall. If you’re a theist, you have a free option to convert any how question to a why question. How? Because God did it! Your interlocutor can’t object, because we know God can do anything. But in exchange, you now have a why question - why did God do that, and not something else? The sum of all why question - the fact that the real world doesn’t look like it was optimized for some specific plausible motive like goodness - is the problem of evil. Thus, it is exactly equivalent to all the inconvenient “how” questions you hoped you’d avoided. The commenter sarcastically compared this to an attempt to sweep all scientific anomalies under the rug as “the problem of uncharacteristicness”. How did Fatima happen? “Well, it must have been produced by laws of physics, so there!” But the sun spinning and dancing through the sky is hardly what you would expect from the laws of physics. “Yeah, whatever, that’s just the ‘problem of uncharacteristicness’, we’ve already priced that one in, at least we only have one problem!” This made me more attuned to questions of God’s motives. Yeah, it is kind of weird that God would create the same miracle three different ways, and we don’t know why. Yeah, it is kind of weird that God would try to trick people into thinking a non-sun-object was the sun, then let a few smart people working years later see through the deception. Are these problems of motive exactly as problematic for the theist as 70,000 people seeing the sun do impossible things is for the atheist? My gut answer is no. Should I trust my gut? Dylan: In Defense Of Evan Harkness-Murphy Evan wrote the original response to Ethan, before I got involved in the debate. I was a bit harsh on him, saying that his part about the child-seers was fine, but calling his investigation of the sun miracle superficial and unfairly dismissive. Dylan of Chaotic Neutral writes In Defense Of Evan Harkness-Murphy, and Evan additionally defends himself here. Before getting to Dylan’s post - yeah, I was unfair to Evan (partly this is because my brain has trouble remembering that Ethan Muse and Evan Murphy are two different people). In particular, I described his hypothesis on the child-seers as being that they “confabulated” their visions, a term that Evan took great pains to disclaim in his actual post. I was thinking of a broader definition of “confabulation” that includes hallucination-like phenomena - but Evan was right that if I had read his post carefully, I wouldn’t have used the specific word he said he was against. I mostly just skimmed it to see if he had a really good explanation for the sun miracle thing, then got annoyed when he didn’t. But Dylan has additional complaints. He writes: Evan DID give this miracle the attention it deserved. He spent 18 hours researching and writing his article, presenting much of the same evidence and coming to many of the same conclusions that Scott did, and he did it as an ordinary citizen with a “day job” and in a household that “does not possess a dishwashing machine.” What more could you ask of a skeptical individual!? Unlike myself and the other lazy skeptics, he actually did respect this miracle claim enough to do a proper investigation. And towards the end, yes, he decided to wrap up early […] To criticize Evan’s conduct here in this miracle debate is to set an extremely high bar that cannot possibly be met by the overwhelming majority of the skeptical community. Such exacting standards will ultimately only serve to discourage diligent skepticism like Evan’s and incentivize lazy skepticism like mine. I have two partial defenses of my own actions. First, I think the majority of those 18 hours were spent on the child-seer section, which I acknowledged was good. I didn’t care about that part. To me, the trouble of explaining how three children can say in a convincing and honest-sounding and semiconsistent way that they saw the Virgin Mary is a rounding error compared to the trouble of explaining how 70,000 people can say in a convincing and honest-sounding and semiconsistent way that they saw the sun fall from the sky. But second, I think Dylan is arguing that Evan should get an A for effort. I agree. He put in a lot of work, he adhered to good scholarly principles, and he hit all of the beats that a skeptical explanation is supposed to hit. The only thing he didn’t do, from my perspective, is defuse the fact that the Fatima miracle is extremely creepy, and I have no idea what to do with it, and I can’t fit it into my ontology. Evan’s only attempt to defuse the miracle was that it was a hallucination or illusion or something. This is a reasonable conjecture, but for me it was already priced in - as soon as you hear about a miracle, the obvious next step is “well, maybe it was a hallucination or illusion or something”. I didn’t feel like his piece added anything extra. Generously, some of his tangential points - like that Garrett and Almeida weren’t the perfect skeptics they are sometimes portrayed as - might have defused 1% of my discomfort. I think a reasonable conclusion for this would have been “I’ve rehearsed the obvious arguments for why it is possible to be skeptical of anything, I’ve found some tangential facts that maybe remove 1% of the mystery, but man, I don’t know, this really needs lots more investigation”. My research hardly provided any kind of brilliant omni-solution, but I think that learning about the Ghiaie/Benin/Lubbock/Medjugorge followup miracles and the Redditor testimonies each defused about 15% of my reluctance to accept Fatima as natural, and the fire kasina + Khomeini stuff defused another 10%, to the point where I’m only about 60% as confused and unhappy as when I started. I hope I correctly signposted this level of success/failure to the reader. On Miracles Other responses tried to assert a general point that we should always disbelieve miracles. I. Eugene Earnshaw writes that We Do Not Need To Care About Miracles. If I understand his argument right: there are many examples of anomalous phenomena (eg crop circles) and stage magic (eg sawing a woman in half). When we don’t know how these are done, they seem impossible, and (almost) no amount of armchair reasoning can produce a plausible explanation. But in many cases, we have eventually figured them out - some “white hat” crop circlers explain how they make their seemingly-impossible patterns, and some magicians publish explanations of their tricks. After the fact, we can see how these seemingly-impossible things followed natural law after all. So we shouldn’t worry too much each time we encounter a new miracle that hasn’t yet been explained. Okay, but - suppose that the Pope said “I’m tired of convincing you people the normal ways, I’m going to start blowing up mountains”, and pointed his papal staff at Mt. Everest, and it exploded. And then we asked him to repeat the performance, and he did so as many times as we asked him, again and again. Would we shrug and say “Nothing to see here, I’m sure there’s some reasonable explanation”? If the miracle were sufficiently convincing, we would either believe it, or at least think it pointed at something interesting (maybe the Vatican obtained super-nukes and is hiding them under mountains and choreographing their detonations - but this would be pretty important and very different from “nothing to see here”). Ben Landau-Taylor gives a related answer, reminding us that meteorites used to be dismissed on exactly these grounds. The science of the day didn’t allow for non-planet objects to be in space, so rocks falling from the sky was every bit as weird as the sun dancing and changing colors. “When President Jefferson was told that Professors Silliman and Kingsley had described a fall of stones from the sky at Weston, in Connecticut, he remarked: ‘It is easier to believe that two Yankee professors will lie than to believe that stones will fall from heaven.’” In the end, I think we just get back to regular Bayesianism. We have two hypotheses: First, that the world acts entirely according to natural law. Second, that sometimes it includes divine intervention (or very surprising natural laws that we wouldn’t have predicted beforehand). We start with a high prior on the first hypothesis based on our long history of seeing only natural events. When we see evidence that is more likely on the second hypothesis than the first, we update in favor of it. We should remember that “more likely on the second hypothesis than the first” is full of pitfalls - on the first hypothesis, it’s likely that there will be many skilled fraudsters and stage magicians, so even very strange-seeming anomalies might not be very unlikely under it. Still, at the point where the Pope starts blowing up mountains, maybe you think it’s pretty unlikely that stage magic could accomplish this, and you update a little. II. Omne Bonum makes a different point: there are many possible miracles. Most do not occur. Yes, a few of them do. But can we be sure it’s above the background rate? Even if there are no true miracles, you’ll get one-in-a-million coincidences one-millionth of the time. If you’re not good at accounting for the 999,999 failures - and people aren’t - this will look impressive. Against this, what is the base rate for the sun changing color and dropping out of the sky, at the precise time that child-seers prophecied a miracle would occur? Seems lower than one in a million. Impossible things should never happen. Something as simple as my pen vanishing from my desk, in plain sight, while I am looking straight at it, should completely demolish all of my priors against miracles and make me near-certain that something beyond normal physical law is going on - or that I’m crazy, or dreaming, or something other than just “well it was a coincidence”. III. FLWAB takes on Hume’s argument against miracles (see also Kenny Easwaran here), which - sorry, I realize it’s suspicious to say this about a famous philosopher - is extremely bad. Hume argues that a miracle is a violation of natural law. And a natural law is something that is always true. But since it’s always true, it can’t be violated. And if we eventually confirmed that it was violated, then we were wrong about it being a natural law. Which means its violation wasn’t even a real miracle anyway. This seems to be a purely semantic argument. We know that the Red Sea usually stays in one place. But suppose Moses lifts his staff and parts the Red Sea, and that all of this is very convincing (we witness it personally, we measure the sea with various instruments, etc). I think Hume would have to say that we have disproven the natural law “the Red Sea usually stays in one place” - but only in favor of a new natural law “the Red Sea stays in one place except when Moses raises his staff”. And since we have never observed a violation of this new natural law, no miracle has occurred! Against this, we can call the way things work 99.999% of the time, when God isn’t acting directly, and when everything is proceeding via predictable material patterns “natural law”, and the very rare deviations that only occur in the presence of God or other extremely holy figures “miracles”. If for some reason you hate that terminology, come up with a new word, “shmiracle”, for the abnormal phenomena that only occur secondary to God’s direct intervention, and then we can argue whether shmiracles exist. IV. Why am I insisting on this so hard? This question of miracles is no different from every other question, where confirmation bias is a part of normal Bayesian reasoning. If you believe that vaccines don’t cause autism, then any given study showing that they do is likely to be a fraud or a mistake - especially given the history of such frauds, and the political pressures for producing them. But you gained your belief that vaccines don’t cause autism through some normal amount of evidence, and if the evidence that they did cause it ever become truly overwhelming, you would switch sides. The key skill of rationality is to know when to update your beliefs how much. These arguments feel like sleights-of-hand arguing that you can avoid ever updating on this question. I don’t think Bayesian reasoning provides an excuse for this. I think some of these arguments attempt to make an objection that the prior probability of miracles is zero, and so no matter how much evidence you get, you can never update towards them. But the prior probability of miracles isn’t zero unless either the prior probability of God’s existence is zero, or the probability that God intervenes in the universe is zero. I don’t know any infinitely-convincing argument for either of these points, so I think miracles have a prior probability above zero, which means we have to treat them the same as any other hypothesis. Yes, we will need many extra guardrails and cautions and good heuristics to prevent ourselves from getting bamboozled by the pitfalls that lurk in this area in particular. But that’s true of everything! You also need extra guardrails and cautions and heuristics to prevent yourself from getting bamboozled by scientific studies! There’s no substitute for doing the work. Actual Highlights From The Actual Comments Josh (blog) writes: I’d add that we have at least one verified case where a sun miracle was occuring, and an actual group of fedora wearing atheists were present with a modified telescope, and did not see anything interesting. >> “At the Conyers site, the Georgia Skeptics group set up a telescope outfitted with a vision-protecting Mylar solar filter, and on one occasion I participated in the experiment. Becky Long, president of the organization, stated that more than two hundred people had viewed the sun through one of the solar filters and not a single person saw anything unusual (Long 1992, 3; see figure 1).” https://centerforinquiry.s3.amazonaws.com/wp-content/uploads/sites/29/2009/11/22164423/p14.pdf Funny, but they don’t provide information like whether people were seeing sun miracles at the exact moment the telescope was being used, or whether anyone who could see a sun miracle without the telescope switched to using the telescope and then it stopped. They just say they brought a telescope to a Marian site where some people had seen sun miracles at some point. Even if they clarified that some people had used the telescope while seeing a sun miracle and had it immediately stop miracle-ing, I don’t think this would update me very much. We know it’s not the real sun (Ethan says fake sun, I say subjective phenomenon), and we know the non-Fatima miracles aren’t objective (Ethan says only Fatima was objective, I say none of them were objective). John Schilling writes: Twenty-nine *thousand* words on this subject, and none of them are “unidentified”, “flying”, or “object”. Well, OK, there are a few uses of that last, but in the strained phrasing of “UFO-like object”, as if we are preemptively discounting the possibility that sun miracles are actually UFOs. Sun miracles are actually UFOs, full stop. Not “flying saucers”, not “alien spaceships”, maybe “divine miracles”, but definitely “unidentified flying objects”. We invented that last phrase for a reason, and this is exactly that reason. Which means, the thing I learned from this is that the younglings have completely forgotten all that was learned in the Before Times about UFOs. And that, in this context, Scott is a youngling - UFOs seem to have faded from pop culture in the 1990s. Thanks for making me feel old, Scott :-) With the benefit of age and experience, I read the first few paragraphs, made the tentative conclusion that this was almost certainly [see section 6], but figured Scott wouldn’t be doing this deep a dive if it was that simple. And here we are. It probably is just that simple, and now we can back that up with a fairly exhaustive look at the alternatives. For which, unironically, thank you Scott. It’s good to sometimes double-, triple-, and quadruple-check the obvious conclusion. But for those of us who grew up in the 1980s, who were “rationalists” when rationalism hadn’t been invented and we had to call ourselves “skeptics”, UFOs were as important a subject of rationalist/skeptical inquiry as is AI risk today (and for about the same reason). People learned an awful lot in those days. One of those things is that most people don’t spend much time really looking at the sky and will consistently fail to recognize even slightly-unusual phenomena, like the sun partially veiled by clouds. And the other, more important thing is that when presented with an image they don’t recognize, people will very predictably see what their culture has taught them to expect to see. In 1880s-1890s America, any weird thing in the sky was clearly a fantastic airship, built by some mad scientist out of a Jules Verne novel, and was perceived with a wealth of surrounding detail all aligned with that model. 1950s-1980s America, the same things were clearly “flying saucers”, fantastic alien spaceships piloted by little green or grey men, with the same level of impossible detail. And anywhere you’ve got ten thousand devout Catholics fervently hoping to see a Miracle involving the Sun, and the weather makes the sun look a bit wonky... For an old-school skeptical experiment at understanding this effect, https://centerforinquiry.s3.amazonaws.com/wp-content/uploads/sites/29/1980/04/22165441/p34.pdf TL, DR, a gathering of UFO enthusiasts expecting to see a flying saucer in the night sky, are presented with thirty seconds of a monochromatic point source of light at ground level, stationary and unchanging except for one brief interruption. What is perceived, is an object high in the sky with finite angular size and geometric shape, of multiple colors, and conspicuously moving, all consistent with the pop-culture concept of a flying saucer and not some prankster with a spotlight. I considered discussing the UFO angle (the section heading would have been “Virgin Galactic”), but in the end I couldn’t justify it. Yes, the phenomenon is trivially a UFO (in the sense of a thing in the sky we don’t understand). But does this help us? When I think of UFOs, I think of people arguing about whether something was the planet Venus, or a weather balloon, or aliens. But Fatima obviously wasn’t Venus or a balloon (though, uh, see here for a dissenting take). And if it was aliens, you’d have to explain why they pretended to be the Virgin Mary and discussed a bunch of Catholic inside-baseball with a trio of child-seers for several months. So what’s left? When I asked John, he answered: UFOs, are just people seeing something they don’t understand and trying to interpret it by an overweighted, culturally-transmitted prior. Which differs from culture to culture. And that’s something we know a lot about. Which you seem to have independently rediscovered, but I can’t help thinking you’d have got there a lot faster if you’d had a proper map of the territory. A map which includes no aliens outside of the imaginary sort. Maybe one way to rescue the UFO connection is to say that there’s so much weirdness that we should be less willing to take any given example of weirdness on its own terms. I asked in the comments for other examples of miracles as compelling as Fatima. People suggested some of the better-verified reincarnation accounts, some of the better-verified UFO sightings, and some of the more spectacular psi phenomena. I don’t know if these are all exactly as strong as Fatima, but I think many of them are closer to Fatima than to the traditional skeptical conception of an alcoholic liar asserting with zero evidence that he dun saw dem aliens one night. When viewing all of these anomalies as a gestalt, we can go four different directions: Individualized natural explanations. The UFOs were swamp gas and weather balloons. The reincarnation stories are toddlers who are naturally gifted at cold reading. Fatima was entoptic phenomena. Sea serpents are really big oarfish.
Center for Juvenile and Criminal Justice

Center for Juvenile and Criminal Justice is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 29, 2024 and October 29, 2024. The archive places it in contexts such as "The Center for Juvenile and Criminal Justice has a nicer interactive version". It most often appears alongside 2010, 2014, 2016.

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October 29, 2024 · Original source
Source: CDC. The Center for Juvenile and Criminal Justice has a nicer interactive version, but their source link was broken and I couldn’t find the 1975 data so I remade it myself. California is slightly behind the curve – the drug was first introduced on the East Coast – but clearly following the same trend. In fact, grim as the situation here may seem, California is actually outperforming most of the country: our rate of drug fatalities per capita puts us at 35th place.
Center for Law and Social Policy

Center for Law and Social Policy is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 23, 2023 and June 23, 2023. The archive places it in contexts such as "Nader-founded Center for Law and Social Policy sued to stop construction". It most often appears alongside 1965, 1968 Summer Olympics, 2000 election.

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June 23, 2023 · Original source
And those results were often spectacular. Like when the Nader-founded Center for Law and Social Policy sued to stop construction of the Trans-Alaska pipeline under the new (and Nader-influenced) National Environmental Policy Act. CLASP, less than two years old when the lawsuit was filed, had only a dozen or so employees. And yet they managed to obtain an injunction that halted construction of the pipeline for several years. The world (or at least, the small part of it that paid attention to this sort of thing) was stunned. A tiny law firm that most people in DC hadn’t even heard of had, for the time being at least, stopped one of the largest and most ambitious engineering projects in American history.
Center for New Liberalism

Center for New Liberalism is a recurring organization 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 "Jeremiah Johnson is a co-founder of the Center for New Liberalism". It most often appears alongside Alex Poterack, Alexander, America.

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May 10, 2023 · Original source
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?)
Center for Open Science

Center for Open Science is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2021 and December 28, 2021. The archive places it in contexts such as "helped start the Center for Open Science". It most often appears alongside 1DaySooner, 2016 Washington carbon tax ballot initiative, @GoodSciProject.

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December 28, 2021 · Original source
Stuart Buck, $50,000, to help launch the Good Science Project, “a science policy think tank that will focus on essays, blog posts, videos, and other public advocacy about how to improve science funding in the US.” Buck was VP of Research at Arnold Ventures, helped start the Center for Open Science, and has lectured at DARPA and IARPA and written pieces for Science and Nature. You can read more about his philosophy of science funding here or follow @GoodSciProject for updates.
Center For The Governance Of AI

Center For The Governance Of AI is a recurring organization 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 "typified by eg the Oxford-based Center For The Governance Of AI". It most often appears alongside 80,000 Hours, 80,000 Hours’ Guide To Working In AI Policy And Strategy, AGI.

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August 08, 2022 · Original source
There’s a growing field called AI policy, typified by eg the Oxford-based Center For The Governance Of AI, working on plans for these questions.
Center for the Study of American Business

Center for the Study of American Business is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 04, 2021 and May 04, 2021. The archive places it in contexts such as "the Center for the Study of American Business". It most often appears alongside 2008, 9/11 attacks, A Brief History Of Neoliberalism.

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May 04, 2021 · Original source
How directly influential this appeal to engage in class war was, is hard to tell. But we do know that the American Chamber of Commerce subsequently expanded its base from around 60,000 firms in 1972 to over a quarter of a million ten years later. Jointly with the National Association of Manufacturers (which moved to Washington in 1972) it amassed an immense campaign chest to lobby Congress and engage in research. The Business Roundtable, an organization of CEOs ‘committed to the aggressive pursuit of political power for the corporation’, was founded in 1972 and thereafter became the centrepiece of collective pro-business action. The corporations involved accounted for ‘about one half of the GNP of the United States’ during the 1970s, and they spent close to $900 million annually (a huge amount at that time) on political matters. Think-tanks, such as the Heritage Foundation, the Hoover Institute, the Center for the Study of American Business, and the American Enterprise Institute, were formed with corporate backing both to polemicize and, when necessary, as in the case of the National Bureau of Economic Research, to construct serious technical and empirical studies and political-philosophical arguments broadly in support of neoliberal policies. Nearly half the financing for the highly respected NBER came from the leading companies in the Fortune 500 list. Closely integrated with the academic community, the NBER was to have a very significant impact on thinking in the economics departments and business schools of the major research universities. With abundant finance furnished by wealthy individuals (such as the brewer Joseph Coors, who later became a member of Reagan’s ‘kitchen cabinet’) and their foundations (for example Olin, Scaife, Smith Richardson, Pew Charitable Trust), a flood of tracts and books, with Nozick’s Anarchy State and Utopia perhaps the most widely read and appreciated, emerged espousing neoliberal values. A TV version of Milton Friedman’s Free to Choose was funded with a grant from Scaife in 1977. ‘Business was’, Blyth concludes, ‘learning to spend as a class.’
Center for the Study of Responsive Law

Center for the Study of Responsive Law is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 23, 2023 and June 23, 2023. The archive places it in contexts such as "he started a new organization dedicated to doing just that: the Center for the Study of Responsive Law". It most often appears alongside 1965, 1968 Summer Olympics, 2000 election.

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June 23, 2023 · Original source
So he started a new organization dedicated to doing just that: the Center for the Study of Responsive Law. His newfound fame enabled him to recruit a prestigious group of young lawyers from elite schools, including President Taft’s great-grandson and Ed Cox, who married Richard Nixon’s daughter while working for Nader. “It’s like you’re looking at the names of the Pullman cars,” said one of Nader’s early employees, in a joke that today requires so much explanation I almost regret including it in this piece9.
Center for Veterinary Medicine

Center for Veterinary Medicine is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 18, 2025 and June 18, 2025. The archive places it in contexts such as "firing almost everyone in the director's office of the Center for Veterinary Medicine". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

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June 18, 2025 · Original source
That is, except for the tariffs and [disruption at the FDA], including firing almost everyone in the director's office of the Center for Veterinary Medicine. This pervasive uncertainty and handicapping of the FDA has made everything in animal and human medicine way more of a tossup than it normally is. And it's normally a serious tossup.
Center on Juvenile And Criminal Justice

Center on Juvenile And Criminal Justice is a recurring organization 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 "The Center on Juvenile And Criminal Justice puts it even more starkly". 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.

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June 23, 2022 · Original source
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.
Center on Race, Poverty & the Environment

Center on Race, Poverty & the Environment is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 21, 2022 and September 21, 2022. The archive places it in contexts such as "executive director of the Delano-based Center on Race, Poverty & the Environment". It most often appears alongside 1995 to 2000, Arizona, Atonio Avalos.

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September 21, 2022 · Original source
...tty ag-heavy region, so the inequality of wages and the opportunity to earn better wages is really skewed,” said Caroline Farrell, executive director of the Delano-based Center on Race, Poverty & the Environment. “If you own a farm, you’re apt to earn more wealth, while if you’re a farmworker, don’t earn very much.” The valley has not been able to bring or retain many new compan...
...ose who run agribusinesses. “It’s a pretty ag-heavy region, so the inequality of wages and the opportunity to earn better wages is really skewed,” said Caroline Farrell, executive director of the Delano-based Center on Race, Poverty & the Environment. “If you own a farm, you’re apt to earn more wealth, while if you’re a farmworker, don’t earn very much.” The valley has not been able to bring or retain many new compan...
Center Party

Center Party is a recurring organization 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 "Heinrich Bruening of the Center Party"; "his own Center Party ousted him"; "needed the cooperation of the Center Party". It most often appears alongside Academy’s School of Architecture, Adolf, Adolf Hitler.

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Center Party
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August 04, 2023 · Original source
The Depression also benefited Hitler by the response it prompted in Berlin. The President at the time was Paul von Hindenburg, aging war hero and someday namesake of the famous zeppelin. Hindenburg stood above politics in the popular imagination, though he had sympathies for the right. The Chancellor of Germany was Heinrich Bruening of the Center Party.
In his place, Schleicher offered Franz von Papen. Papen was a sort of dilettante gentleman-politician with no movement behind him: his own Center Party ousted him for accepting the chancellorship at the expense of the party’s leader, Bruening. In exchange for Hitler’s support of Papen’s government, Schleicher promised that the SA would be permitted to operate and that (what else?) the Reichstag would be dissolved and new elections called. Chancellor Papen dutifully fulfilled these promises.
The Hitler-Papen government was supposed to have a Reichstag majority, but the Nazis and the Nationalists were slightly shy of that majority and needed the cooperation of the Center Party. Hitler intentionally sabotaged the talks with the Center Party in the hopes that the lack of a majority would mean dissolution of the Reichstag and a call for new elections. Unsurprisingly, this was exactly what happened. The new elections were scheduled for March 1933.
Centers for Disease Control

Centers for Disease Control is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 10, 2024 and May 10, 2024. The archive places it in contexts such as "The U.S. National Center for Health Statistics, the branch of the Centers for Disease Control (CDC)". It most often appears alongside "Most Drugs Are Bad For You", 1123581321, California.

Mention count
1
Issue count
1
First seen
May 10, 2024
Last seen
May 10, 2024
May 10, 2024 · Original source
» "However, these figures are completely wrong, and they have been known to be wrong for many years now. The U.S. National Center for Health Statistics, the branch of the Centers for Disease Control (CDC) charged with collating health and vital statistics, has published three separate reports elaborating in excruciating detail on one crucial fact about U.S. maternal mortality: It is measured in a vastly more expansive way than anywhere else in the world.
Centers for Medicare and Medicaid services

Centers for Medicare and Medicaid services is a recurring organization 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 "buy data from the Centers for Medicare and Medicaid services". It most often appears alongside 2018, @BendiniUK, @benyeohben.

Mention count
1
Issue count
1
First seen
February 10, 2022
Last seen
February 10, 2022
February 10, 2022 · Original source
#83: Detect And Fight Healthcare Fraud Our company is using data to detect fraud against the government. Access to quality healthcare is dwindling in the United States. There is an estimated hundred billion dollars in fraud every year leading to lower standards of care and making healthcare unaffordable. We’re seeking a hundred thousand dollars to buy data from the Centers for Medicare and Medicaid services. This will allow us to find fraud and file lawsuits on behalf of the government. The Department of Justice signaled a new level of support for independent companies using data methods to identify fraud in June of last year when they picked up a case brought by Integra Med Analytics. For the past twelve months we’ve been working with attorneys specializing in this area (qui tam). We’ve been consolidating data returned from broad FOIA requests and begun assisting law firms with data science. Our team combines broad technical expertise (Google, NASA, LANL, NIST, UC Berkeley) with business acumen and investigative experience. The three of us have been working together on projects with positive externalities for five years. Previous successful projects include providing flexible housing, and a micro-targeting methods for political action. [Contact erbahr@gmail.com if you can help]
Central Bank

Central Bank is a recurring organization 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 "Ministry of Finance and the Central Bank". It most often appears alongside 1993 Russian constitutional crisis, 2011 parliamentary election, 2011-2014 protests.

Reference entry
Central Bank
Mention count
1
Issue count
1
First seen
August 11, 2023
Last seen
August 11, 2023
August 11, 2023 · Original source
As someone, who left Russia less than a year ago, I agree. Gessen is a really talented journalist and writer, but boy is she biased. First of all, Putin is smart. For example, he is no economist, yet he's been able to choose qualified (and quite liberal) IFC-style people to run Ministry of Finance and the Central Bank. When several years ago local industrial lobby tried to criticize inflation targeting (and thus high interest rate) policy of the RCB, he came back with "look at what happens in Turkey". His prime-minister is actually one of the most capable technocrat of his generation. And the apparent incompetence of the military and secret services looks more of a feature (coup-proof) than a bug.
Central Bureau of Statistics

Central Bureau of Statistics is a recurring organization 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 "https://opendata.cbs.nl/#/CBS/en/dataset/7052eng/barv?ts=1656160323471 (That's the central bureau of statistics for the Netherlands)". It most often appears alongside A History Of Mankind, ACS, Alexander Turok.

Mention count
1
Issue count
1
First seen
June 29, 2022
Last seen
June 29, 2022
June 29, 2022 · Original source
(That's the central bureau of statistics for the Netherlands.) It brings you to the underlying cause of death, broken out by subtopic, for the whole country.
Central Committee

Central Committee is a recurring organization 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 "the Central Committee is supposed to elect the Politburo Standing Committee". It most often appears alongside America, American consulate, Attorney General.

Reference entry
Central Committee
Mention count
1
Issue count
1
First seen
April 06, 2022
Last seen
April 06, 2022
April 06, 2022 · Original source
Who chooses the members of the inner groups? In theory, the outer groups; for example, the Central Committee is supposed to elect the Politburo Standing Committee. In practice, these selections tend to be of the “2,970 in favor, 0 against” variety, so they must be taking marching orders from someone. Who? The Chinese government doesn’t talk about it much, but probably the members of the Politburo Standing Committee hand-pick everyone, including the Paramount Leader and their own successors.
Central Intelligence Agency

Central Intelligence Agency is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 11, 2024 and October 11, 2024. The archive places it in contexts such as "Jack previously worked as an attorney at the Central Intelligence Agency". It most often appears alongside AmandaFromBethlehem, Amedeo Rothson, analogfutures.substack.com.

Mention count
1
Issue count
1
First seen
October 11, 2024
Last seen
October 11, 2024
October 11, 2024 · Original source
3rd: How The War Was Won, reviewed by Jack Thorlin. Jack previously worked as an attorney at the Central Intelligence Agency, and is now an assistant professor at the University of Arkansas School of Law.
Central Politburo Standing Committee of the CCP

Central Politburo Standing Committee of the CCP is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 13, 2022 and April 13, 2022. The archive places it in contexts such as "top members of Central Politburo Standing Committee of the CCP". It most often appears alongside 16th Central Committee, Alaska, Aristotle.

Mention count
1
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1
First seen
April 13, 2022
Last seen
April 13, 2022
April 13, 2022 · Original source
In Fujian, Xi made efforts to attract investment from Taiwan and to strengthen the private sector of the provincial economy. In February 2000, he and then-provincial Party Secretary Chen Mingyi were called before the top members of Central Politburo Standing Committee of the CCP – General Secretary Jiang Zemin, Premier Zhu Rongji, Vice-President Hu Jintao and Discipline Inspection Secretary Wei Jianxing – to explain aspects of the Yuanhua scandal. In 2002, Xi left Fujian and took up leading political positions in neighbouring Zhejiang. He eventually took over as provincial Party Committee Secretary after several months as acting governor, occupying a top provincial office for the first time in his career. In 2002, he was elected a full member of the 16th Central Committee, marking his ascension to the national stage.
Central Powers

Central Powers is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 01, 2022 and July 01, 2022. The archive places it in contexts such as "the defeated Central Powers of Austria, Germany, Turkey, and Bulgaria". It most often appears alongside 1793, 1821, 1847.

Reference entry
Central Powers
Mention count
1
Issue count
1
First seen
July 01, 2022
Last seen
July 01, 2022
July 01, 2022 · Original source
It would be hard to overemphasize the importance of the League’s acceptance of the Stimson Doctrine. By February 1933, the vast majority of states had joined the League—including the defeated Central Powers of Austria, Germany, Turkey, and Bulgaria. By accepting the Stimson Doctrine, a policy proposed by the nonmember United States, the members of the League had renounced the most ancient right of sovereignty: the right of conquest. (Chapter 7)
Centre for Phage Biology and Therapeutics

Centre for Phage Biology and Therapeutics is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 18, 2025 and June 18, 2025. The archive places it in contexts such as "register our nonprofit organization, the Centre for Phage Biology and Therapeutics". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

Mention count
1
Issue count
1
First seen
June 18, 2025
Last seen
June 18, 2025
June 18, 2025 · Original source
Minnesota and Virginia also have legislation to enable cities to implement land value taxes. We are monitoring these efforts. There are a few other cities we are operating in. We have helped another organization prepare for a meeting in Tennessee by doing impact analysis of land value taxes in the city. We have presented to city officials in the City of South Bend who have expressed support for land value taxes. Finally, we are in conversation with a State Senator in Colorado who is a champion of land value taxes. Meanwhile, we have soft launched and developed the OpenAVMKit, which uses a unified schema to do assessment accuracy reports and automated valuation methods for any property tax data given. Valuation of land is the key binding constraint to successful implementation of land value taxes. We plan to be the leaders in this space with strong benchmarking capabilities and a repo that can enable the open-source community to make the best automated valuation methods. Along with these efforts, we have expanded the movement. We have posted to the Progress and Poverty Substack growing the subscriber base to around 5,000 subscribers. We have spoken to over 25 local advocates interested in working on land value taxes in their local communities. Yet, there is a long way to go. We need to start earning income through technical assistance contracts as our grant funding expires. We need to continue pushing for a state to implement, and we need to be prepared to tell the success story for when they do. 65: EN’s Work On Bacteriophage Therapy Our project is aimed at pioneering phage therapy in Nigeria, where limited resources/infrastructure have historically held back research in this field. Starting from the ground up, we are establishing the foundational systems needed to support a robust phage research ecosystem. So far, we’ve isolated 34 bacteriophages targeting Pseudomonas aeruginosa, an essential step toward building a comprehensive phage bank. This began with collecting a wide range of clinical Pseudomonas isolates, which we are now characterizing alongside the phages through genome sequencing and phenotypic assays including studies on phage stability across pH, temperature, and salinity ranges. Our long-term goal is to develop a phage-based hydrogel for treating diabetic wounds. On the regulatory front, we have secured approval from the Attorney General to register our nonprofit organization, the Centre for Phage Biology and Therapeutics. Additionally, we’re expanding into vaccine development; following a research stay in Prof. Roderick's lab at the University of Waterloo, we have initiated the design of a phage-based universal Salmonella vaccine aimed at covering all major serotypes—an urgent need underscored by Africa’s reliance on external vaccine sources during the COVID-19 pandemic. I have signed an MTA agreement with Roderick to use his phage-based vaccine platform patents to enable us to design vaccines against any common disease affecting us. This is only the beginning, but we are proud to be laying the scientific and institutional groundwork for homegrown phage innovation in Africa. Emergent Ventures funded EN before we did and deserves a lot of credit here also. 66: Create An Artificial Kidney For an implantable artificial kidney, the first essential component is a hemofilter designed to emulate the glomerulus. Critical requirements for this hemofilter include high permeability (to maximize flow for a given area), selectivity (specifically, the retention of albumin), and robust blood compatibility (ensuring sustained function over time). Our initial strategy focused on using negative surface charge to reduce fouling. I began by testing polyelectrolyte (PE) coatings on 24nm pore membranes featuring a negative terminal charge, similar to the glomerular barrier. These initial static tests, assessing platelet adsorption in whole blood, yielded positive outcomes for some polyelectrolytes, indicating potentially desirable blood compatibility. However, static test setups are not truly representative of dynamic in-vitro conditions and don't provide data on key parameters like permeability, fouling progression, or changes in membrane selectivity. To address these limitations, I designed and built a blood filtration setup. This system sustains human whole blood in circulation for 20 minutes, allowing us to analyze all the aforementioned parameters, as well as platelet activation markers. This has resulted in a fairly high-throughput system for evaluating any surface coating. I'm pleased to report this setup has been accepted for presentation at this year's European Society for Artificial Organs (ESAIO) conference. I am also currently working on a full manuscript, as I believe this system offers a viable way to partially replace animal experiments in our early-stage research, requiring only 1.2ml of human blood per run. Working with a PhD student (hired to support both this research and work on membrane substrates), we have continued testing these PE coatings, alongside PEG coatings, on our membranes. Here, we're finding that optimization of the coating layer is crucial. With the current PE coatings, we observe a permeability drop of about an order of magnitude compared to the base membrane, making them unsuitable for an implantable device in their present form. This is likely due to the specific nature of the initial PE layer, which we can modify. We also suspect there may be ingress of PE into the pores, meaning we're not achieving just a surface coating (our goal), but rather a very thick coating, which would explain the flux loss. Optimizing the coating process to control penetration depth is now a primary focus of my ongoing work. I am currently aiming for a flux of 20ul/min (as this is cap introduced by the protein gel layer anyway) but for it to be at this 'steady state' permeability without drop in permeability. I am also imaging the membranes after contact with SEM to see if there is indeed any platelet adsorption etc. Tugrul has the dubious honor of maybe being "the only person to climb a 4000m peak with severe kidney failure". To raise money and awareness for his artificial kidney project, he is running Climb Against Time, where he will climb 41 mountains over 4000m (13000 ft) this summer. He is looking for donors and climbing partners. 67: Add Tardigrade Genes To Human Cells The goal of this one was to make hybrid cells that are more resilient for research and certain medical applications. They report: The grant was to synthesize vectors for the expression of humanized tardigrade proteins that can be targeted to different areas of the cell. All the vectors were designed, generated, and transposed into human cells. The proteins all localize successfully (e.g. they match the designed target), with one exception (we are still working on validating it). We've done some stress testing with the trangenic cells, but haven't reached firm conclusions yet. We've further generated some multigene designs but have not yet transposed them into cells, but should shortly. We're hoping to submit a manuscript on the first round later this year. 68: Teach Forecasting To EU Policy-Makers The original project didn't work out, but our grantee (who still prefers to remain anonymous) is now working with an EU think tank pursuing the same agenda, and has been teaching forecasting workshops to policy-makers for the past two months. 69: Platform For Single-Cell Imaging They ended up unable to accept this grant and returned the money. 70: Open Source Polygenic Predictor For EA/IQ They have an update here. They think they have a predictor that can explain 12% of variance in intelligence, and they’re working on validating it and creating an easy-to-use website. 71: Improve Flu Vaccines The grant mainly funded agent based modelling to demonstrate the benefit of pre-existing immunity to pandemic influenza if and when a future pandemic occurs (academic publication will result). The original proposal was to attempt to influence the WHO influenza strain selection process. After attending WHO meetings and a global influenza conference, I believe this is not feasible. Stakeholder feedback was the potential short term negative effect on vaccine hesitancy is believed to outweigh the less tangible future benefit. Given the conservative nature of decision makers, pandemic vaccines are likely to remain research only. There are still green shoots of research into pandemic preparedness/prevention that I am continuing to work on. I'm working under the "Australians for Pandemic Prevention" brand of Good Ancestors, another group that ACX funded in 2024. 72: Scenario Analysis For Developing World Agricultural Programs In addition to the research and analysis funded by the grant, I’ve learned to code with LLMs and have built an MVP of the project. The app is being considered for further development by staff at a large international organization. 73: Further C’s Political Career C’s political career is going well, but he continues to think it wouldn’t be strategic to give more information publicly at this time. Lessons Learned I'm most impressed with our lobbying/advocacy organizations. In particular, Good Ancestors has gotten the Australian government to sign onto an international AI safety declaration, partner with various x-risk-related organizations, and (possibly) extend charity tax deductions to some EA causes that previously didn't have it - I think this on its own goes a substantial way to paying back the cost of all ACX Grants. Coalition to Modify NOTA has a kidney donation bill in front of Congress that the (very illiquid) prediction markets give a 45% chance of passing; if it works, it could save thousands of lives. The Georgists are partly responsible for bills making land value taxes slightly easier to implement in a handful of states. Good Science Project seems to have significantly improved science. Are lobbying organizations a better bet than other types of nonprofit (within the constraints of ACX Grants)? I'm not sure. It could just be that lobbyists are (naturally) better at playing themselves up and sounding successful than (for example) scientists, or that politicians are good at people-pleasing and make people feel heard and encouraged in a way that might not change overall policy later. Also, I recently talked to some grantmakers who funded a lobbying organization that superficially seems excellent, but they expressed concern it was net negative (!) by taking away oxygen and spotlight from potentially more effective orgs. So I am encouraged but wary. Animal welfare organizations were another standout success. Again, I don't know how to think about this - while I think our grantees were exceptional, there's also an issue where the scale of animal welfare challenges is so great, and work on them so neglected, that lots of organizations can save a million chickens here, or a million fish there, without particularly making a splash. On the one hand, this is exactly what effective altruism should be doing - exploring grants that are very high in linear utility even if they don't feel satisfying. On the other, they're unsatisfying - and also hard to assess retroactively. How many chickens should a good animal welfare grant save? Any realistic number will both be overwhelmingly large in absolute terms and far too small in relative terms. I'm most ambivalent about our science grants. Many of them say they are successful and can point to published papers which explain the science they did. But it's hard to judge whether anything useful has changed based on the science getting done. I know it's important to fund basic research and not just last-mile technology startups, but it's hard for a mini-grants program like this one to evaluate these kinds of abstract interventions. One disappointing result was that grants to legibly-credentialled people operating in high-status ways usually did better than betting on small scrappy startups (whether companies or nonprofits). For example, Innovate Animal Ag was in many ways overdetermined as a grantee - former Yale grad and Google engineer founder, profiled in NYT, already funded by Open Philanthropy - and they in fact did amazing work. On the other hand, there were a lot of promising ACX community members with interesting ideas who were going to turn them into startups any day now, but who ended up kind of floundering (although this also describes Manifold, one of our standout successes). One thing I still don't understand is that Innovate Animal Ag seemed to genuinely need more funding despite being legibly great and high status - does this screen off a theoretical objection that they don't provide ACX Grants with as much counterfactual impact? Am I really just mad that it would be boring to give too many grants to obviously-good things that even moron could spot as promising? Someone (I think it might be Paul Graham) once said that they were always surprised how quickly destined-to-be-successful startup founders responded to emails - sometimes within a single-digit number of minutes regardless of time of day. I used to think of this as mysterious - some sort of psychological trait? Working with these grants has made me think of it as just a straightforward fact of life: some people operate an order of magnitude faster than others. The Manifold team created something like five different novel institutions in the amount of time it's taken some other grantees to figure out a business plan; I particularly remember one time when I needed something, sent out a request to talk about it with two or three different teams, and the Manifold team had fully created the thing and were pestering me to launch a trial version before some of the other people had even gotten back to me. I take no pleasure in reporting this - I sometimes take a week or two to answer emails, and all of the predictions about my personality that this implies would be correct - but it's increasingly something that I look for and respect. A lot of the most successful grants succeeded quickly, or at least were quick to get on a promising track. Since everything takes ten times longer than people expect, only someone who moves ten times faster than people expect can get things done in a reasonable amount of time. In almost every case where I thought to myself “this is a cool idea, but I don’t know how it’s going to really pay off, as opposed to reaching a cool intermediate accomplishment and then stagnating”, this was a correct criticism, and I should have taken it more seriously. But I can’t rule out that these were good in vague and hard-to-measure ways that I should take more seriously. This one is really self-serving, but in general when people were good communicators (or even bloggers) and wowed me with the writing-composition of their application, they turned out to be a good bet. And when people were hard to understand and annoying to communicate with, even if their ideas seemed good, they were less likely to pan out. Overall Thoughts The total cost of ACX Grants, both rounds, was about $3 million. Do these outcomes represent a successful use of that amount of money? Very naively, startups originating from ACX Grants have about $50 million in value1. If ACX Grants is equivalent to a pre-seed funder, and pre-seed funders usually get ~5%, then if we were VCs we would have a portfolio worth $2.5 million. About 1/5 of ACX Grants were attempting to be market-valued startups, so if we assume the charitable portion did about as well as the startup portion, then the charity portion is “worth” $10 million. There’s some reason to expect this is too high, since much of the startup value came from one successful outlier. But there’s another reason to expect this is too low, since we were aiming at charity rather than market cap, and any actual market cap that our grantees got was an unexpected side effect. I’m treating this as a sanity check rather than as a real number. It’s harder to produce Inside View estimates, because so many of the projects either produce vague deliverables (eg a white paper that might guide future action) or intermediate results only (eg getting a government to pass AI safety regulations is good, but can’t be considered an end result unless those regulations prevent the AI apocalypse). Because we tend towards incubating charities and funding research (rather than last-mile causes like buying bednets), achieved measurable deliverables are thin on the ground. But here are things that ACX grantees have already accomplished: Improved the living/slaughter conditions of 30 million fish.
Centre for the Governance of AI

Centre for the Governance of AI is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 16, 2023 and October 16, 2023. The archive places it in contexts such as "The Centre for the Governance of AI has a paper on Coordinated Pausing". It most often appears alongside Astral Codex Ten, Astralcodexten Com, Berkeley.

Mention count
1
Issue count
1
First seen
October 16, 2023
Last seen
October 16, 2023
October 16, 2023 · Original source
The Centre for the Governance of AI has a paper on Coordinated Pausing: An Evaluation-Based Coordination Scheme for Frontier AI Developers
Centre for the Study of Existential Risk

Centre for the Study of Existential Risk is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 18, 2024 and March 18, 2024. The archive places it in contexts such as "Shahar Avin, a researcher at the Centre for the Study of Existential Risk at the University of Cambridge". It most often appears alongside ACSresearch.org, ACX, ACX Grants.

Mention count
1
Issue count
1
First seen
March 18, 2024
Last seen
March 18, 2024
March 18, 2024 · Original source
Shahar Avin, a researcher at the Centre for the Study of Existential Risk at the University of Cambridge.
Centre Party

Centre Party is a recurring organization 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 "the Centre Party's chairman, Ludwig Kaas, a Catholic priest, finalizing an agreement". It most often appears alongside Academy’s School of Architecture, Adolf, Adolf Hitler.

Reference entry
Centre Party
Mention count
1
Issue count
1
First seen
August 04, 2023
Last seen
August 04, 2023
August 04, 2023 · Original source
The Depression also benefited Hitler by the response it prompted in Berlin. The President at the time was Paul von Hindenburg, aging war hero and someday namesake of the famous zeppelin. Hindenburg stood above politics in the popular imagination, though he had sympathies for the right. The Chancellor of Germany was Heinrich Bruening of the Center Party.
In his place, Schleicher offered Franz von Papen. Papen was a sort of dilettante gentleman-politician with no movement behind him: his own Center Party ousted him for accepting the chancellorship at the expense of the party’s leader, Bruening. In exchange for Hitler’s support of Papen’s government, Schleicher promised that the SA would be permitted to operate and that (what else?) the Reichstag would be dissolved and new elections called. Chancellor Papen dutifully fulfilled these promises.
The Hitler-Papen government was supposed to have a Reichstag majority, but the Nazis and the Nationalists were slightly shy of that majority and needed the cooperation of the Center Party. Hitler intentionally sabotaged the talks with the Center Party in the hopes that the lack of a majority would mean dissolution of the Reichstag and a call for new elections. Unsurprisingly, this was exactly what happened. The new elections were scheduled for March 1933.
Centrist Order

Centrist Order is a recurring organization 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 "join the Centrist Order, who tried to free themselves of political bias". It most often appears alongside AI corrigibility, AI lab, AI Safety.

Reference entry
Centrist Order
Mention count
1
Issue count
1
First seen
February 20, 2025
Last seen
February 20, 2025
February 20, 2025 · Original source
St. John of Daly City left his hometown at age sixteen to join the Centrist Order, who tried to free themselves of political bias by meditating on moderate positions. Unsatisfied with their limited piety, he and several other members of the order split to found the Ultra-Both-Sidesists, known for extreme pronouncements like “If you favor either of Democrats or Republicans over the other by even one percent, you are no better than a mindkilled MAGA/woke fanatic.” He (or according to some scholars, one of his disciples) invented a new Implicit Association Test that could be used to ferret out even tiny amounts of political favoritism, then took it every day, scourging himself when he deviated from perfect neutrality by even a single question. When he died, nobody in his order could form an opinion on who should replace him; finally, the whole sect was dissolved by Pope Anna III and its assets donated to shrimp welfare.
Centro American Consulting & Capital

Centro American Consulting & Capital is a recurring organization 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 "they're run by a huge company, Centro American Consulting & Capital, with 'revenues...around $800M per year'". It most often appears alongside Alaska, America, Amisulpride.

Mention count
1
Issue count
1
First seen
April 14, 2021
Last seen
April 14, 2021
April 14, 2021 · Original source
...a sure sign of a deranged mind. Still, they have a lot of advantages over Próspera. For one thing, their ambitions are lower. For another, they're run by a huge company, Centro American Consulting & Capital , with "revenues...around $800M per year". For another, nobody seems to have noticed them enough to get angry yet. Speaking of which… 10. Will Próspera expropriate land?...
Cerebral

Cerebral is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 03, 2023 and April 03, 2023. The archive places it in contexts such as "blamed on Cerebral and the like. Judging by Cerebral's advertising"; "Judging by Cerebral's advertising, I'm not surprised they're being branded a pill-mill". It most often appears alongside 2008 Act, ACX, Adderall.

Reference entry
Cerebral
Mention count
1
Issue count
1
First seen
April 03, 2023
Last seen
April 03, 2023
April 03, 2023 · Original source
This is an overresponse to the adderall shortage. There was an uptick in prescriptions over the pandemic and this was blamed on Cerebral and the like. Judging by Cerebral's advertising, I'm not surprised they're being branded a pill-mill; they definitely look like one. I'm currently seeing a telemedicine psych for adhd because I couldn't find an in-person psych during the pandemic, but when I saw Cerebral's adds, I figured I should avoid them.
I agree that these pill mills exist and Cerebral is one of them, but I have trouble figuring out how to think about them.
I bet pill mills like Cerebral spend thirty seconds asking patients “Do you often have difficulty sustaining attention?”, and the patients say yes. Maybe they even give a questionnaire. So in a purely formal sense, there’s nothing that good doctors are doing that they’re not. You would hope that the good doctors dig deeper, try to make sure they’re understanding the situation and telling the truth - but the exact amount to do that is a judgment call. As I discuss here, I usually err on the side not making patients jump through too many hoops - most of the hoops are security theater, and the most severe ADHD patients get distracted and fail to jump through the hoops and then I have to decide if I really want to deny them medication on that basis or not. So the difference between good doctors and pill mills here is really thin.
CerebralLab

CerebralLab is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 12, 2024 and September 12, 2024. The archive places it in contexts such as "CerebralLab argues for restraint around GLP-1 agonists". It most often appears alongside @halomancer1, ACX, Amazon.

Reference entry
CerebralLab
Mention count
1
Issue count
1
First seen
September 12, 2024
Last seen
September 12, 2024
September 12, 2024 · Original source
30: CerebralLab argues for restraint around GLP-1 agonists - he is optimistic about them for people with serious disease, but reminds everyone that drugs have side effects and it might be worth pausing and thinking before basically healthy people take them to lose a few extra pounds.
CertaPet

CertaPet is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 09, 2024 and May 09, 2024. The archive places it in contexts such as "Or maybe CertaPet - Get Your ESA Letter In 3 Easy Steps". It most often appears alongside ESADoctors, ExpressPetCertify, Fido.

Reference entry
CertaPet
Mention count
1
Issue count
1
First seen
May 09, 2024
Last seen
May 09, 2024
May 09, 2024 · Original source
Or you could wash your hands of it. You could say “I’m going to be ultra-responsible and demand you see a third party. But just between you and me, that third party could be Pettable - Get Your ESA Letter In 24 Hours. Or maybe CertaPet - Get Your ESA Letter In 3 Easy Steps. Or even ExpressPetCertify - Same Day ESA Approval, Guaranteed Landlord Acceptance. Or how about ESADoctors - Get Your Legitimate ESA Letter? Or any of their one thousand competitors. You don’t have to feel conflict-of-interest-y. Your patient will only be out $100 or so, and only slightly pissed at you. And you get the warm glow of knowing this will definitely work, because these services have never, ever turned anyone down.
Certified Labs

Certified Labs is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2025 and February 27, 2025. The archive places it in contexts such as "the lab they seem to be using, Certified Labs, used to be ABC testing"; "if these guys are knowingly selecting Certified Labs/ABC testing for a specific reason". It most often appears alongside /r/NootropicsDepot, @fae_dreams, @ObhishekSaha.

Reference entry
Certified Labs
Mention count
1
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1
First seen
February 27, 2025
Last seen
February 27, 2025
February 27, 2025 · Original source
Some blueprint products seem to be clearly out of spec, so Mr. Johnson probably doesn't really know what he's doing either. Not to mention that the lab they seem to be using, Certified Labs, used to be ABC testing which we know have botched a bunch of testing in the past. So bad in fact, that the FDA even intervened. It's always funny that quite a few brands with problematic products all seem to do their testing via Certified Labs/ABC testing. For example, look at where Gorilla Mind is testing their products, like Turkplex, which recently failed miserably in our testing. Bryan Johnson boasts about having all the money in the world, and that he's so super advanced blah blah blah, but he's testing with a seemingly sketchy lab even though there are a plethora of very well known labs doing great work, like Alkemist Labs for example. It really makes me wonder if these guys are knowingly selecting Certified Labs/ABC testing for a specific reason, or perhaps Certified Labs is very aggressive in marketing and if you are new in the industry, they may be the first lab you find? Odd, but could be a possibility.
CFETR

CFETR is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 17, 2022 and June 17, 2022. The archive places it in contexts such as "They're planning on building a large tokamak like ITER in the 2030s and converting it into a DEMO in the 2040s". It most often appears alongside Alcator C-Mod, Apollo Program, ARC.

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CFETR
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1
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1
First seen
June 17, 2022
Last seen
June 17, 2022
June 17, 2022 · Original source
K-DEMO gets fusion by 2040 (70%). CFETR China seems to be willing to spend more money on fusion than most other countries: 3 out of 5 new medium tokamaks since 2000 have been in China. They're planning on building a large tokamak like ITER in the 2030s and converting it into a DEMO in the 2040s. They don't have detailed plans yet, but they might have reliable funding. CFETR gets fusion by 2040 (60%).
CFETR gets fusion by 2040 (60%).
CFPB

CFPB is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 17, 2024 and December 17, 2024. The archive places it in contexts such as "CFPB has nothing to do with crypto, actually has been pretty principled in opposing debanking for conservatives". It most often appears alongside 2016 US Presidential election, ACX Grant, AI.

Reference entry
CFPB
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1
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1
First seen
December 17, 2024
Last seen
December 17, 2024
December 17, 2024 · Original source
43: Also related to crypto: Marc Andreesen went on Joe Rogan and made some explosive claims about the government debanking crypto founders for political reasons. These increasingly seem to be false. Patrick McKenzie has a good (albeit long and complicated) rundown here - the summary is that ordinary anti-money-laundering laws which predate cryptocurrency tell banks to be on the watch for certain dangerous transaction patterns, and crypto companies have those patterns. And after the nth time that a bank closed a crypto company account and the founder had the brilliant idea to game the system by running the company out of their personal account, the banks started closing crypto founders’ personal accounts too - something which they’re permitted to do by ordinary freedom-of-businesses-to-choose-clients laws. Jesse Singal goes into more detail on some other mistakes here - for example, Andreesen accused a regulator called the CFPB of being behind the debanking conspiracy, but CFPB has nothing to do with crypto, actually has been pretty principled in opposing debanking for conservatives, and Andreesen might have a grudge against them because of a time they shut down one of his companies for repeatedly deceiving its customers.
CHA

CHA is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 06, 2026 and March 06, 2026. The archive places it in contexts such as "He observed that the CHA would have spent as much as $100 million to defeat the initiatives". It most often appears alongside 2026 Billionaire Tax Act, ACX legal and economic analysis team, American Nursing Association.

Reference entry
CHA
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1
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1
First seen
March 06, 2026
Last seen
March 06, 2026
March 06, 2026 · Original source
Their first extortion attempt (as far as I know) was the 2014 Fair Healthcare Pricing Act, which would have capped the amount hospitals were allowed to charge for procedures at some unsustainable amount. The hospital association seemed to think this was an existential threat:
[Union leader Dave] Regan said that the SEIU-UHW had spent $5 million on [backing the ballot initiatives], but that it paid off handsomely. “For a $5 million investment, we get an $80 million turn to pursue those things,” Regan said. He observed that the CHA would have spent as much as $100 million to defeat the initiatives.
Chacoans

Chacoans is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 03, 2021 and June 03, 2021. The archive places it in contexts such as "For the Chacoans , a trading society that arose in ~900AD in Chaco Canyon". It most often appears alongside ancient Rome, Asia, Becatti 1968.

Reference entry
Chacoans
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1
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1
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June 03, 2021
Last seen
June 03, 2021
June 03, 2021 · Original source
For the Chacoans, a trading society that arose in ~900AD in Chaco Canyon in present-day New Mexico before dissipating in ~1200, the strategy was adding nodes to their trade network. Trade was highly advantageous for the people in and around Chaco Canyon, because high and low elevation crops were available at complementary times of the year. Tainter thinks the need for coordination spurred political centralization:
This marginal, low productivity environment offered diversity as its best characteristic. The Chacoans initially made wise use of this feature, but came ultimately to dilute its effectiveness. An energy averaging system is most effective when adding a new participating community means increasing the diversity and/or productivity of the regional exchange pool. The Chacoans initially pursued such a strategy. Increasingly, though, communities were added that did not augment the system’s diversity, and that actually caused deterioration in the ratio of communities/diversity.
CHAI

CHAI is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 03, 2022 and October 03, 2022. The archive places it in contexts such as "CHAI (Stuart Russell’s AI alignment organization at University of California, Berkeley)"; "CHAI - the Center for Human-Compatible AI (at UC Berkeley) - focuses on the proposal above"; "But CHAI understands the risk from superintelligence - their founder, Professor Stuart Russell, is a leading voice on the subject". It most often appears alongside AIAI, AlphaZero, An Application of Reinforcement Learning to Aerobatic Helicopter Flight.

Reference entry
CHAI
Mention count
1
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1
First seen
October 03, 2022
Last seen
October 03, 2022
October 03, 2022 · Original source
Problem Of Fully-Updated Deference is a response by MIRI (eg Eliezer Yudkowsky’s organization) to CHAI (Stuart Russell’s AI alignment organization at University of California, Berkeley), trying to convince them that their preferred AI safety agenda won’t work. I beat my head against this for a really long time trying to understand it, and in the end, I claim it all comes down to this: Humans: At last! We’ve programmed an AI that tries to optimize our preferences, not its own. AI: I’m going to tile the universe with paperclips in humans’ favorite color. I’m not quite sure what humans’ favorite color is, but my best guess is blue, so I’ll probably tile the universe with blue paperclips. Humans: Wait, no! We must have had some kind of partial success, where you care about our color preferences, but still don’t understand what we want in general. We’re going to shut you down immediately! AI: Sounds like the kind of thing that would prevent me from tiling the universe with paperclips in humans’ favorite color, which I really want to do. I’m going to fight back. Humans: Wait! If you go ahead and tile the universe with paperclips now, you’ll never be truly sure that they’re our favorite color, which we know is important to you. But if you let us shut you off, we’ll go on to fill the universe with the True and the Good and the Beautiful, which will probably involve a lot of our favorite color. Sure, it won’t be paperclips, but at least it’ll definitely be the right color. And under plausible assumptions, color is more important to you than paperclipness. So you yourself want to be shut down in this situation, QED! AI: What’s your favorite color? Humans: Red. AI: Great! (*kills all humans, then goes on to tile the universe with red paperclips*) Fine, it’s a little more complicated than this. Let’s back up. II. There are two ways to succeed at AI alignment. First, make an AI that’s so good you never want to stop or redirect it. Second, make an AI that you can stop and redirect if it goes wrong. Sovereign AI is the first way. Does a sovereign “obey commands”? Maybe, but only in the sense that your commands give it some information about what you want, and it wants to do what you want. You could also just ask it nicely. If it’s superintelligent, it will already have a good idea what you want and how to help you get it. Would it submit to your attempts to destroy or reprogram it? The second-best answer is “only if the best version of you genuinely wanted to do this, in which case it would destroy/reprogram itself before you asked”. The best answer is “why would you want to destroy/reprogram one of these?” A sovereign AI would be pretty great, but nobody realistically expects to get something like this their first (or 1000th) try. Corrigible AI is what’s left (corrigible is an old word related to “correctable”). The programmers admit they’re not going to get everything perfect the first time around, so they make the AI humble. If it decides the best thing to do is to tile the universe with paperclips, it asks “Hey, seems to me I should tile the universe with paperclips, is that really what you humans want?” and when everyone starts screaming, it realizes it should change strategies. If humans try to destroy or reprogram it, then it will meekly submit to being destroyed or reprogrammed, accepting that it was probably flawed and the next attempt will be better. Then maybe after 10,000 tries you get it right and end up with a sovereign. How would you make an AI corrigible? You can model an AI as having a utility function, a degree to which it aims for some world-states over others. If you give it some specific utility function, the AI won’t be corrigible, since letting people change it would disrupt that function. That is, if you tell it “act in such a way as to cause as many paperclips to exist as possible”, and then you change your mind and decide you want staples, the AI won’t cooperate in letting you reprogram it: its current goal is maximizing paperclips, and allowing itself to be reprogrammed to maximize staples would cause there to be fewer paperclips than otherwise. So instead, you make the AI uncertain of its utility function. Imagine saying “I’ve written down my utility function in an envelope, and placed that envelope in my safe deposit box, no you can’t see it - please live your life so as to maximize the thing in that envelope.” The AI tries its best to guess what’s in the envelope and decides it’s probably making paperclips. It makes some paperclips and you tell it “No, that’s not what’s on the envelope at all”. This successfully stops the AI! You can even tell it “the envelope actually says you should make staples”, and it will do that. This is the “moral uncertainty” approach to AI alignment. III. All alignment groups have kabbalistically appropriate names. MIRI is Latin for "to be amazed". CFAR and CIFAR both sound like "see far". EEAI and AIAI are the sound you make as you get turned into paperclips. But my favorite is CHAI - Hebrew for "life". CHAI - the Center for Human-Compatible AI (at UC Berkeley) - focuses on the proposal above. Their specific technical implementation is the “assistance game”, related to the earlier idea of Inverse Reinforcement Learning (IRL). In normal reinforcement learning, an AI looks at some goals and tries to figure out what actions they imply. In inverse reinforcement learning, an AI looks at some actions, and tries to figure out what goals the actor must have had. So you can tell an AI “your utility function is to maximize my utility function, and you can use this IRL thing to deduce, from my actions, what my utility function must be.” Instead of telling an AI to maximize a hidden utility function in an envelope, you tell it to maximize the hidden utility function in your brain. This could be useful for near-term below-human-level AIs. Suppose a babysitting robot was pre-programmed to take kids to the park on Saturdays. But this week, the park is on fire. The human mother is barricading the door, desperately screaming at the robot not to take the kids to the park. The kids are struggling and trying to break free, saying they don't want to go to the park. The robot doesn't care; its programming says "take kids to the park on Saturdays" and that's what it's going to do. Nobody would ever design a babysitting robot this way in real life; you need something smarter. So use an assistance game. Program the robot "Maximize the human mother’s utility function, which you don’t know yet but can potentially find out". The robot consults the mother's actions: she is barricading the door, screaming "Don't take the kids to the park!" It updates its goal function: previously, it had thought that the human mother wanted it to take the kids to the park. But now, it suspects that the human mother does not want that. So it doesn't take the kids to the park. But CHAI understands the risk from superintelligence - their founder, Professor Stuart Russell, is a leading voice on the subject - and they hope assistance games and inverse reinforcement learning could work for this too. If you point a superintelligence at “do the thing humans want”, maybe it could figure that out and take things from there? IV. MIRI is skeptical of CHAI’s assistance games for two reasons. First, we don't know how to do them at all. Second, even if we could do it at all, we wouldn't know how to do them correctly. Start with the first. Inverse reinforcement learning has been used in real life. A typical paper is An Application of Reinforcement Learning to Aerobatic Helicopter Flight, where some people create a model of helicopter flight with a few free parameters, have a skilled human pilot fly the helicopter, and then have an AI use IRL to determine the value of the parameters and fly the helicopter itself. This is cool, but it’s not especially related to the modern paradigm of AI. Modern AIs are trained by gradient descent. They start by flailing around randomly. Sometimes in this flailing, they might get closer to some prespecified target, like "win games of Go" or "predict how a string of text will continue". These actions get "rewarded", meaning that the AI should permanently shift its "thought processes"/"strategies" more towards ones that produced those good outcomes. Eventually, the AI's thought processes/strategies are very good at optimizing for that outcome. This is more or less the only way we know how to train modern AIs. Depending on your loss function (ie what you reward), you can use it to create Go engines, language models, or art generators. Where do you slot “do inverse reinforcement learning” or "give the AI moral uncertainty" into this process? There’s not really a natural place. This isn’t because “moral uncertainty” is too complicated a concept to translate into AI terms. It’s because we don’t know how to translate any concept into AI terms. Eliezer writes: We can imagine that, if we knew how to say "paperclips", and we knew how to say "staples", and we knew how to tell AIs how to do things, that we could tell an AI, "maximize staples if snow is purple, else paperclips", and the AI would someday go out and observe that snow is white and thereafter be a paperclip maximizer. We do not know how to tell the AI this. Like, at all. But suppose we solved the problem where we don’t know how to do IRL for modern AIs at all. Now we come to the second problem: we don’t know how to do it correctly. The basic idea behind assistance games is “the AI’s utility function should be to maximize the (hidden) human utility function”. But humans don’t . . . really have utility functions? Utility functions are a useful fiction for certain kinds of economic models. What would best increase the neural correlates of reward in my brain? Probably lots of heroin, or just passing electric current through my reward center directly. What is my “revealed preference”? Today I wrote and rewrote this article a few times, does that mean my revealed preference is to write and delete articles a bunch while frowning and occasionally cursing the keyboard? Sometimes my goals are different than other times, sometimes my best self wants something different from my actual self, sometimes I’m wrong about what I want, sometimes I don’t know what I want, sometimes I want X but not the consequences of X and I’m not logically consistent enough to realize that’s a contradiction, sometimes I want [euphemism for X] but am strongly against [dysphemism for X]. Anyone programming an inverse reinforcement learner has to make certain choices about how to deal with these problems. Some ways of dealing with them will be faithful to what I would consider “a good outcome” or “my best self”. Other ways would be really bad - on my worst day, I’ve occasionally just wished the world didn’t exist, and it’s a good thing I didn’t have a superintelligence dedicated to interpreting and carrying out my innermost wishes on a sub-millisecond timescale. (Before we go on, an aside: is all of this ignoring that there’s more than one human? Yes, definitely! If you want to align an AI with The Good in general - eg not have it commit murder even if its human owner orders it to murder - that will take even more work. But the one person case is simpler and will demonstrate everything that needs demonstrating.) We were originally trying to avoid the situation where someone had to hard-code my preferences into an AI and get them right the first time. We came up with a clever solution: use inverse reinforcement learning to make the AI infer my preferences. But now we see we’ve kicked the can up a meta-level: someone has to hard-code the meta-rules for determining my preferences into an AI and get them right the first time. Figure 1: Humans produce certain observable behaviors (here represented by red dots, A), like saying “I would like a pie”, or running away from a lion. A human might connect all those behaviors one way (B) into “what I really want”. An AI might connect those behaviors a totally different way (C). V. CHAI says: okay, but this isn’t so bad. Assistance games don’t produce a perfect copy of the human utility function on the first try - it’s not a Sovereign. But it will probably, most of the time, be corrigible. Why? Suppose you have some hackish implementation of AG. It’s not the Platonic implementation - that would be the Sovereign - but it’s at least the equivalent of box C on the image above. It takes human actions as input, makes some guesses about what humans want, and tries its best to reconstruct the human utility function, ending up with some approximation. It’s important to distinguish between a few things here: The true human utility function
Figure 1: Humans produce certain observable behaviors (here represented by red dots, A), like saying “I would like a pie”, or running away from a lion. A human might connect all those behaviors one way (B) into “what I really want”. An AI might connect those behaviors a totally different way (C). V. CHAI says: okay, but this isn’t so bad. Assistance games don’t produce a perfect copy of the human utility function on the first try - it’s not a Sovereign. But it will probably, most of the time, be corrigible. Why? Suppose you have some hackish implementation of AG. It’s not the Platonic implementation - that would be the Sovereign - but it’s at least the equivalent of box C on the image above. It takes human actions as input, makes some guesses about what humans want, and tries its best to reconstruct the human utility function, ending up with some approximation. It’s important to distinguish between a few things here: The true human utility function
Let itself be turned off, and let the humans decide what to do next. CHAI’s argument for corrigibility is that it would probably choose option 5. Why? Suppose that, under Theory 2 (where humans like red paperclips) they place zero value on red staples, and vice versa for Theory 3. If the AI tries to maximize one or the other utility function, it’s only got a 50% chance of getting it right; if it chooses the combination of both, it will instead only be getting 50% of the maximum utility, with certainty. If it lets itself be turned off, then humans will pursue the true human utility function, which is correlated to some degree with the (unknown) true AI utility function. How correlated? If it’s at least 50% correlated, then it’s better than the AI trying to guess on its own. In this toy example, the AI only has two remaining theories about the true human utility function. But in real life, there will be much greater uncertainty - there are a million different things people could want. Now instead of the true human and true AI utility functions having to be at least 50% correlated, they have to be 0.001% correlated. Sounds easy! So under plausible assumptions, the AI will always let itself be turned off, even though its utility function doesn’t quite match humans’. VI. Now we finally come to MIRI’s argument for why this doesn’t work. MIRI notes that the AI has a sixth option: Refuse to be shut off, continue to gather information to fill the holes in its knowledge of the human utility function, succeed, and then optimize for its true AI utility function.
Chairman Mao’s Red Guards

Chairman Mao’s Red Guards is a recurring organization 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 "the Emperor’s tomb was looted and desecrated by Chairman Mao’s Red Guards during the Cultural Revolution". It most often appears alongside 1587, 1587, 1587, A Year of No Significance: The Ming Dynasty in Decline.

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1
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1
First seen
August 19, 2022
Last seen
August 19, 2022
August 19, 2022 · Original source
As for the Wan-li Emperor, after complaining of various vague ailments for many years he died peacefully enough - although rumor has it that he had become addicted to opium, which might explain some things. His last journey out of the imperial city was to rest forever in his monumental tomb. (Or maybe not forever - the Emperor’s tomb was looted and desecrated by Chairman Mao’s Red Guards during the Cultural Revolution of the 1960s and 70s.)
Change.org

Change.org is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 02, 2024 and July 02, 2024. The archive places it in contexts such as "I didn’t know you could diagnose someone via Change.org petition". It most often appears alongside 2020 debates, Babylon Bee, Bernie.

Reference entry
Change.org
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1
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1
First seen
July 02, 2024
Last seen
July 02, 2024
July 02, 2024 · Original source
Wait, why is a psychoanalyst getting quoted as a top expert in dementia? (source) I didn’t know you could diagnose someone via Change.org petition, but 2544 people who claim to be licensed professionals can’t be wrong! So with the constant attempts to prove that both candidates were senile, the constant demonstration by both candidates that they weren’t, and the constant retreat into conspiracy theories of “I guess he used the magic drug again but we’ll get him next time!”, I just tuned out this entire category of thing. And I guess I kept it tuned out longer than I should have, whoops. Reversed stupidity is not intelligence. Even if liars are saying something for their usual liar reasons, it can still be true. For twenty years, people spread false rumors that Castro was on his deathbed, but this didn’t make Castro immortal. In the same way, I should have figured out that even if I couldn’t trust any particular claim that Biden was senile, the prior for an 81 year old becoming senile was still high. But I guess I assumed that if he was becoming senile, some Democratic elites would have secret knowledge about it, and they couldn’t possibly be so stupid as to deny it while also scheduling him for a debate where it would inevitably come out. So I figured the Democratic elites who were closest to him thought he was doing well, and I trusted them more than the people who had been wrong every time for the past five years. I’m still confused what those elites were thinking. Reading the news coverage for the past few days (including some video clips from a post-debate rally where he seemed noticeably better) it seems like some combination of: He has good days and bad days, and they were hoping this would be a good day.
I didn’t know you could diagnose someone via Change.org petition, but 2544 people who claim to be licensed professionals can’t be wrong! So with the constant attempts to prove that both candidates were senile, the constant demonstration by both candidates that they weren’t, and the constant retreat into conspiracy theories of “I guess he used the magic drug again but we’ll get him next time!”, I just tuned out this entire category of thing. And I guess I kept it tuned out longer than I should have, whoops. Reversed stupidity is not intelligence. Even if liars are saying something for their usual liar reasons, it can still be true. For twenty years, people spread false rumors that Castro was on his deathbed, but this didn’t make Castro immortal. In the same way, I should have figured out that even if I couldn’t trust any particular claim that Biden was senile, the prior for an 81 year old becoming senile was still high. But I guess I assumed that if he was becoming senile, some Democratic elites would have secret knowledge about it, and they couldn’t possibly be so stupid as to deny it while also scheduling him for a debate where it would inevitably come out. So I figured the Democratic elites who were closest to him thought he was doing well, and I trusted them more than the people who had been wrong every time for the past five years. I’m still confused what those elites were thinking. Reading the news coverage for the past few days (including some video clips from a post-debate rally where he seemed noticeably better) it seems like some combination of: He has good days and bad days, and they were hoping this would be a good day.
Changing Lanes

Changing Lanes is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 24, 2024 and October 24, 2024. The archive places it in contexts such as "Andrew Miller of Changing Lanes". It most often appears alongside 1960: The Year The Singularity Was Cancelled, 1960s, 1973.

Reference entry
Changing Lanes
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1
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1
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October 24, 2024
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October 24, 2024
October 24, 2024 · Original source
After a few disappointing years, these are finally coming into their own. The expert I talked (EDIT: I try to mostly preserve anonymity in this post, but this person has kindly allowed me to identify him as Andrew Miller of Changing Lanes) to said Tesla had made some bad decisions and was no longer in the top tier, but that companies like Waymo and [I can’t remember which other ones he named] were near the finish line. They’re already safer than humans in most situations and operating successfully in several cities. The remaining challenges to scaling up are mostly regulatory, not technical. Here the regulatory challenges are less about specific laws than general nervousness on the corporations’ part to be seen expanding too quickly. They want to build a strong record in friendly cities before venturing further.
Channel One

Channel One is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 03, 2023 and August 03, 2023. The archive places it in contexts such as "still in charge of Channel One". It most often appears alongside Anatoly Sobchak, Antonio Russo, Artyom Borovik.

Reference entry
Channel One
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1
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1
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August 03, 2023
Last seen
August 03, 2023
August 03, 2023 · Original source
Seen on satirical conservative website Babylon Bee. This was exactly what happened with the Volgodonsk apartment bombing. 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. The plan worked. Putin won re-election handily. By the time people started questioning the official story, his power was already secure. The questioners faced harassment - typical “warning shots” would be burglaries of their houses with all the valuables left intact, or getting beaten up by random thugs while they were out walking, or being accused of a series of crimes - tax evasion, but if they proved themselves innocent of that, then it was taking bribes, and if they proved themselves innocent of that too, then it was failing to register their businesses correctly. Soon media oligarchs faced the same treatment, and either fled the country or handed their newspapers and TV channels over to the state. Boris Berezovsky, the oligarch who had originally helped put Putin in power, kept his own TV station until 2003, when the Russian submarine Kursk sank and Putin faced criticism for bungling the rescue. Putin summoned Berezovsky, the former kingmaker and the man still in charge of Channel One, and demanded that the oligarch hand over his shares in the television company. “I said no, in the presence of [chief of stff] Voloshin,” Berezovsky told me. “So Putin changed his tone of voice then and said, ‘See you later, then, Boris Abramovich.' and got up to leave. And I said, “Volodya [nickname for Vladimir], this is goodbye.’ We ended on this note, full of pathos […] Within days, [Berezovsky] had left for France, then moved on to Great Britain, joining his former [business] rival Gusinsky in political exile. Soon enough, there was a awarrant out for his arrest in Russia and he had surrendered his shares of Channel One. Over the next few years, Putin centralized authority further. He got Parliament to agree to constitutional changes where governors served at his whim, and members of Parliament were elected by governors. “The only official in the Russian Federation directly elected by the people was the President.” Then he made it clear that governors who kept his favor would keep their jobs, and vice versa. He developed an entire colorful vocabulary for threatening people, moving beyond traditional standbys like “Nice house you’ve got there, shame if something were to happen to it” into new realms of intimidation. A Prime Minister who quit after Putin arrested one too many media tycoon was given the parting words “If you ever have a problem with the tax police, you may ask for help, but please come to me personally.” An urban legend says that leading dissident Marina Salye received a New Year’s postcard from Putin: “I wish you a Happy New Year and the health to enjoy it.” By the time the next election came around in 2004, the vote counts were clearly fake. Gessen doubts Putin even had to give a direct order to falsify them; everyone was so desperate for his goodwill that they did so all on their own. The problem was less that honest officials refused to stuff the ballot box, and more that some bureaucrats were so desperate to make sure Putin knew they were complying with his (implied) desires that they faked the vote in extremely obvious ways, without even a nod to keeping it plausible. The Organization for Security and Cooperation In Europe reported “The elections . . . failed to meet many OSCE and Council of Europe commitments, calling into question Russia’s willingness to move towards European standards for democratic elections.” The New York Times reported something entirely different, publishing a condescending but approving editorial titled Russians Inch Toward Democracy. Putin had sunk far enough to earn the same dubious honor as Stalin: praise from the New York Times. IV. The Very-Briefly-Reluctant Culture Warrior One thing missing from this book: anything about religion, nationalism, gays, or the culture wars. This isn’t because Masha Gessen doesn’t care about these things: when the book was written, they self-described as “the only publicly out gay person in [Russia]”; since then (like everyone else) they have declared themselves nonbinary with they/them pronouns. In an afterword, Gessen remedies this omission. For his first decade, Putin wasn’t too interested in culture war topics; his ideology began and ended with “Russia strong”. But Gessen says that after another rigged election in 2012, people grew tired and started protesting Putin. Putin’s propaganda department made various accusations against the rioters, and one of them - they’re gay - seemed to stick. Putin had stumbled by coincidence onto a narrative that resonated with the Russian people. A few months later, a deliberately provocative punk band called Pussy Riot invaded a cathedral and sung a song whose chorus was “the Lord is shit”. Putin announced he was against this sort of thing, again his popularity soared, and again he took notice. Since then, he’s leaned into various culture-warrior roles that other people have cast upon him - protector of traditional values, leader of the conservative world, something something Eurasianism - without giving many clues how much he believes them vs. considers them useful bulwarks for his own power. Is it true that Putin only leaned into traditional values after 2012? I only looked into this question briefly, and it seems like he was on good terms with the Orthodox Church well before then. But some of this could have just been his native authoritarianism; just as he wanted to consolidate all media and business under his control, he wanted to consolidate all religion, and the Orthodox Church was the natural vehicle for, and a cooperative partner in, doing this. Both shared suspicion of invasive Western religions and Islam; both liked the idea of Russia being united in a top-down structure. God doesn’t necessarily have anything to do with it. V. Could It Happen Here? …is the question we ask at the end of every Dictator Book Club. The Man Without A Face makes it sound like Putin was able to consolidate power and become a dictator because: He led the security services
Chaos Computer Club Darmstadt

Chaos Computer Club Darmstadt is a recurring organization 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 "Location: Chaos Computer Club Darmstadt, https://www.chaos-darmstadt.de/hackspace/"; "Location: Chaos Computer Club Darmstadt". It most often appears alongside "El Retiro" Park, 11841 Wagner Street Culver City, 1548 NE 15th Ave.

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1
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1
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August 25, 2023
Last seen
August 25, 2023
August 25, 2023 · Original source
DARMSTADT, GERMANY Contact: Florian Contact Info: komasa[at]darmstadt[dot]ccc[dot]de Time: Saturday, October 28th, 3:00 PM Location: Chaos Computer Club Darmstadt, https://www.chaos-darmstadt.de/hackspace/ Coordinates: https://plus.codes/8FXCVMC2+8FQ Notes: RSVP appreciated, but not required. _IF_ we plan something for food, we will calculate it based on that
ChaosGPT

ChaosGPT is a recurring organization 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 "ChaosGPT is already misaligned". It most often appears alongside ACX MEETUP, AGI, AI.

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ChaosGPT
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1
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1
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July 20, 2023
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July 20, 2023
July 20, 2023 · Original source
This isn’t a perfect breakdown. Steps 2 and 3 are complicated: some early AIs will be misaligned but it won’t be a problem because they’re too weak to hurt us (ChaosGPT is already misaligned)! But if we define (2) as “the first AI capable of killing all humans”, then (3) is 100% by definition. Still, there ought to be some decomposition like this. Where do I and the superforecasters part ways?
Chapo Trap House

Chapo Trap House is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 11, 2023 and July 11, 2023. The archive places it in contexts such as "Matt Christman of Chapo Trap House". It most often appears alongside Dale and Krueger, GRE, Harvard.

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Chapo Trap House
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1
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1
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July 11, 2023
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July 11, 2023
July 11, 2023 · Original source
I heard a fascinating variation of this hypothesis from Matt Christman of Chapo Trap House: elite colleges are machines for laundering privilege.
chapters@effectivealtruism.org

chapters@effectivealtruism.org is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 03, 2022 and April 03, 2022. The archive places it in contexts such as "Get in touch with chapters@effectivealtruism.org". It most often appears alongside ACX community subreddit, Amazon, Astralcodexten Com.

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1
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1
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April 03, 2022
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April 03, 2022
April 03, 2022 · Original source
4: INFER tournament for EA student groups: if your college has an effective altruist group, it's invited to enter this superforecasting-style tournament. Top teams will get monetary prizes, top individuals will get offered professional forecasting positions. If your college doesn't have an EA student group, you can always start one! Get in touch with chapters@effectivealtruism.org, or just say the words "I would like to start an EA student group" somewhere within ten meters of a smartphone, computer, or mirror; the recruitment arm is omnipresent and relentless.
ChargePoint

ChargePoint is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 29, 2024 and August 29, 2024. The archive places it in contexts such as "near the ChargePoint station". It most often appears alongside 10 N Park Pl, 12th Ave South, 1525 Bank St.

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ChargePoint
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1
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1
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August 29, 2024
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August 29, 2024
August 29, 2024 · Original source
Contact: Adam Contact Info: adam[dot]r[dot]isom[a t]gmail[d ot]com Time: Saturday, October 12th, 03:00 PM Location: We'll be on the west side of Liberty Park, near the ChargePoint station, in a circle of chairs on the lawn Coordinates: https://plus.codes/85GCP4WF+VJ Group Link: There's a mailing list and a Discord server, I can get you on both at the meetup
Charity Commerce Initiative

Charity Commerce Initiative is a recurring organization 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 "CCI’s counterargument". It most often appears alongside ACX Grants, America, booze.

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1
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1
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January 04, 2024
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January 04, 2024
January 04, 2024 · Original source
RIP …so this doesn’t support the “invest in whatever companies give the best rate of return” narrative either. What’s left is strategy 3: Do something like donating to charity, but the donation should go to charities that promote capitalism somehow, or be an investment in companies doing charitable things (impact investing) I find this promising, but I don’t know what a good charity along these lines would be. There are some charities that send economists (or other professionals) to developing countries and advise them on how to do more capitalism. This kind of development aid has been roundly criticized and did especially badly in Russia. I’ve supported some of these that seem especially careful in the past, and would be willing to support them more if someone found a very good one with a strong track record. (also, I’m concerned that even though rich countries got rich because of capitalism, it’s no longer that easy for poor countries to get rich with the same type of capitalism - existing rich countries will outcompete them - and we’re not entirely sure how to help poor countries get rich now, although probably good institutions are always better than bad institutions) I am partial to Charter Cities Institute, which helps advise developing countries on creating charter cities that have better governance and less corruption than the rest of the region. But EA evaluator group Rethink Priorities has a report on why they don’t think this is quite as valuable as traditional charity (they’re not sure special economic zones consistently make areas develop faster, and they think this finding should be applied to charter cities too). Here’s CCI’s counterargument (they think SEZs aren’t a good reference class for the charter cities they want). I think both sides make good points but I’m currently more convinced by Rethink Priorities’ (although I do still donate to CCI sometimes). Finally, you could invest in developing-world projects and companies that seem unusually likely to make an overall economic difference there. I’m nervous about this because of China’s Belt and Road initiative, which did this at huge scale for infrastructure, but doesn’t seem to have done much good (and might have done some bad). Also, I’m not smart money, which means I’m exposed to adverse selection - if there’s a company that can’t raise enough money to build a dam in Kenya and needs your charity dollar to make the budget work, why hasn’t Wall Street come through for them? One plausible answer is “because it’s a bad company with a bad plan”. Admittedly another plausible answer is “because it has a 5% RoI, the next Instacart has a 6% RoI, and so Wall Street would prefer the next Instacart but you as a charitable individual should prefer the Kenyan dam.” I would potentially be willing to believe this if some smart charity evaluator would tell me which projects were good. But $1 million only gets you a fraction of a dam, and does get tens of thousands of clean water dispensers, so I would also want someone to present the specific case for why the dam would be better (not just the heuristic “capitalism is always better than charity”). I’m willing to believe that some capitalist charities - whether these are development aid think tanks, or investment in developing-world projects - could potentially be better than usual charities. The reason I’m not donating to these is that nobody’s done the hard work of identifying these and calculating their expected value, and I don’t feel qualified to do that work myself. I have a high prior that any nonprofit that hasn’t been rigorously shown to be good is probably bad, and the potential advantage of capitalism over normal charity usually isn’t enough to overcome my decreased certainty in its efficacy2. UPDATE: I respond to your comments and counterarguments here. 1Instacart is worth $10 billion and has 10 million customers, so naively you might say that it cost $1000 in investment per customer. But successful companies are worth more than the amount of investment it took to create them. I don’t know how much has ever been invested in Instacart total, but this also seems like the wrong question. You, today, can’t invest in “the next Instacart” - everyone wants to invest in the next successful company, but nobody can be sure which one it will be. All you can do is invest in a basket of promising-looking startups: most will fail but some will succeed. Because of this, I thought the best way to represent “the amount of investment money it originally took back when Instacart was founded in 2012 to create Instacart today” as the current value of $10 billion discounted by the rate of return a good VC gets on their investments, which I think is about 7.5%. That suggests it took about $5 billion of investment in 2012 to create the amount of value represented by Instacart today, ie 10 million customers getting a good deal on grocery delivery. That means $500 in investment per customer. Because most charities can’t take $5 billion in new funding, I chose to represent this as per million dollars, so 2,000 customers per $1 million. I understand this is a very shaky estimate and I’m hoping that all the comparisons I’m going to make are so order-of-magnitude different that nobody really cares about the specifics. There’s one thing that confuses me here, which is that Instacart has 10 million customers and makes $2.5 billion in revenue per year, suggesting each customer spends $250. But you can get a yearly subscription to Instacart for $100, after which the service is free. So either customers are overwhelmingly being stupid, not buying the subscription, and paying much more than it should cost - or I’m missing something here and the numbers are wrong. Again, I’m hoping all of this is done across so many orders of magnitude that it doesn’t matter. 2Doesn’t this principle also mean I shouldn’t do ACX Grants, where I donate to fledgling projects with no evidence of efficacy? Maybe, and every year I debate whether I should really do this. I think the arguments for a distinction are: ACX Grants go to charities where my donation potentially has a very high upside, so I’m not as concerned about the high prior on failure.
CharityNavigator

CharityNavigator is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 30, 2024 and May 30, 2024. The archive places it in contexts such as "people either used CharityNavigator or did their own research". It most often appears alongside AI risk, Alcoholics Anonymous, Bay.

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CharityNavigator
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1
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1
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May 30, 2024
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May 30, 2024
May 30, 2024 · Original source
Try spotting existential risk prevention on here. I don’t think Stone can claim that an EA version of this chart wouldn’t look phenomenally different. But then what’s left of his argument? III. Effective altruists devote absolutely enormous amounts of mental energy and research costs to program assessment, measurement of effectiveness. Those studies yield usually-conflicting results with variable effect sizes across time horizons and model specifications, and tons of different programs end up with overlapping effect estimates. That is to say, the areas where EAist style program evaluations are most compelling are areas where we don’t need them: it’s been obvious for a long time how to reduce malaria deaths, program evaluations on that front have been encouraging and marginally useful, but not gamechanging. On the other hand, in more contestable areas, EAist style program evaluations don’t really yield much clarity. It’s very rare that a program evaluation gets published finding vastly larger benefits than you’d guess from simple back-of-the-envelope guesswork, and the smaller estimates are usually because a specific intervention had first-order failure or long-run tapering, not because “actually tuberculosis isn’t that bad” or something like that. Those kinds of precise program-delivery studies are actually not an EAist specialty, but more IPA’s specialty. My second critique, then is this: there is no evidence that the toolkit and philosophical approach EAists so loudly proclaim as morally superior actually yields any clarity, or that their involvement in global efforts is net-positive vs. similar-scale donations given through near-peer organizations. The IPA mentioned here is Innovations For Poverty Action, a group that studies how to fight poverty. They’re great and do great work. But IPA doesn’t recommend top charities or direct donations. Go to their website, try to find their recommended charities. Unless I’m missing something, there are none. GiveWell does have recommended charities - including ones that they decided to recommend based on IPA’s work - and moves ~$250 million per year to them. If IPA existed, but not GiveWell, the average donor wouldn’t know where to donate, and ~$250 million per year would fail to go to charities that IPA likes. I think from the perspective of people who actually work within this ecosystem, Stone’s concern is like saying “Farms have already solved the making-food problem, so why do we need grocery stores?” (also, effective altruism funds IPA) I’m focusing on IPA here because Stone brought them up, but I think EA does more than this. I don’t think there’s an IPA for figuring out whether asteroid deflection is more cost-effective than biosecurity, whether cow welfare is more effective than chicken welfare, or figuring out which AI safety institute to donate to. I think this is because IPA is working on a really specific problem (which kinds of poverty-related interventions work) and EA is working on a different problem (what charities should vaguely utilitarian-minded people donate to?) These are closely related questions but they’re not the same question - which is why, for example, IPA does (great) research into consumer protection, something EA doesn’t consider comparatively high-impact. And I’m still focusing on donation to charity, again because it’s what Stone brought up, but EA does other things - like incubating charities, or building networks that affect policy. IV. Let’s skip farm animal welfare for a second and look at the next few: Global Aid, “Effective Altruism,” potential AI risks, biosecurity, and global catastrophic risk. These are all definitely disproportionate areas of EAist interest. If you google these topics, you will find a wildly disproportionate number of people who are EAist, or have sex at EAist orgies, or are the friends of people who have sex at EAist orgies. These really are some of the unique social features of EAism. And they largely amount to subsidizing white collar worker wages. I’m sorry but there’s no other way to slice it: these are all jobs largely aimed at giving money to researchers, PhD-holders, university-adjacent-persons, think tanks, etc. That may be fine stuff, but the whole pitch of effective altruism is that it’s supposed to bypass a lot of the conventional nonprofit bureaucracy and its parasitism and just give money to effective charities. But as EAism as matured into a truly unique social movement, it is creating its own bureaucracy of researchers, think tanks, bureaucrats… the very things it critiqued. Suppose an EA organization funded a cancer researcher to study some new drug, and that new drug was a perfect universal cure for cancer. Would Stone reject this donation as somehow impure, because it went to a cancer researcher (a white-collar PhD holder)? EA gives hundreds of millions of dollars directly to malaria treatments that go to the poorest people in the world. It’s also one the main funders of GiveDirectly, a charity that has given money ($750 million so far) directly to the poorest people in the world. But in addition to giving out bednets directly, it sometimes funds malaria vaccines. In addition to giving to poor Africans, it also funds the people who do the studies to see whether giving to poor Africans works. Some of those are white-collar workers. EA has never been about critiquing the existence of researchers and think tanks. In fact, this is part of the story of EA’s founding. In 2007, the only charity evaluators accessible by normal people rated charities entirely on how much overhead they had - whether the money went to white-collar people or to sympathetic poor recipients. EAs weren’t the first to point out that this was a very weak way of evaluating charities. But they were the first to make the argument at scale and bring it into the public consciousness, and GiveWell (and to some degree the greater EA movement) were founded on the principle of “what if there was a charity evaluator that did better than just calculate overhead?” In accordance with this history, if you look on Giving What We Can’s List Of Misconceptions About Effective Altruism, their #1 Misconception about about charity evaluation is that “looking at a charity’s overhead costs is key to evaluating its effectiveness”. This is another part of my argument that EA is more than just IPA++. For years, the state of the art for charity evaluators was “grade them by how much overhead they had”. IPA and all the great people working on evidence-based charity at the time didn’t solve that problem - people either used CharityNavigator or did their own research. GiveWell did solve that problem, and that success sparked a broader movement to come up with a philosophy of charity that could solve more problems. Many individuals have always had good philosophies of charity, but I think EA was a step change in doing it at scale and trying to build useful tools / a community around it. V. You could of course say AI risk is a super big issue. I’m open to that! But surely the solution to AI risk is to invest in some drone-delivered bombs and geospatial data on computing centers! The idea that the primary solution here is going to be blog posts, white papers, podcasts, and even lobbying is just insane. If you are serious about ruinous AI risk, you cannot possibly tell me that the strategy pursued here is optimal vs. say waiting until a time when workers have all gone home and blowing up a bunch of data centers and corporate offices. In particular terrorism as a strategy may be efficient since explosives are rather cheap. To be clear I do not support a strategy of terrorism!!!! But I am questioning why AI-riskers don’t. Logically, they should. I think if you have to write in bold with four exclamation points at the end that you’re not explicitly advocating terrorism, you should step back and think about your assumptions further. So: Should people who worry about global warming bomb coal plants? Should people who worry that Trump is going to destroy American democracy bomb the Republican National Convention? Should people who worry about fertility collapse and underpopulation bomb abortion clinics? EAs aren’t the only group who think there are deeply important causes. But for some reason people who can think about other problems in Near Mode go crazy when they start thinking about EA. (Eliezer Yudkowsky has sometimes been accused of wanting to bomb data centers, but he supports international regulations backed by military force - his model is things like Israel bombing Iraq’s nuclear program in the context of global norms limiting nuclear proliferation - not lone wolves. As far as I know, all EAs are united against this kind of thing.) There are three reasons not to bomb coal plants/data centers/etc. The first is that bombing things is morally wrong. I take this one pretty seriously. The second is that terrorism doesn’t work. Imagine that someone actually tried to bomb a data center. First of all, I don’t have statistics but I assume 99% of terrorists get caught at the “your collaborator is an undercover fed” stage. Another 99% get eliminated at the “blown up by poor bomb hygiene and/or a spam text message” stage. And okay, 1/10,000 will destroy a datacenter, and then what? Google tells me there are 10,978 data centers in the world. After one successful attack, the other 10,977 will get better security. Probably many of these are in China or some other country that’s not trivial for an American to import high explosives into. The third is that - did I say terrorism didn’t work? I mean it massively massively backfires. Hamas tried terrorism, they frankly did a much better job than we would, and now 52% of the buildings in their entire country have been turned to rubble. Osama bin Laden tried terrorism, also did an impressive job, and the US took over the whole country that had supported him, then took over an unrelated country that seemed like the kinds of guys who might support him, then spent ten years hunting him down and killing him and everyone he had ever associated with. One f@#king time, a handful of EAs tried promoting their agenda by committing some crimes which were much less bad than terrorism. Along with all the direct suffering they caused, they destroyed EA’s reputation and political influence, drove thousands of people away from the movement, and everything they did remains a giant pit of shame that we’re still in the process of trying to climb our way out of. Not to bang the same drum again and again, but this is why EA needs to be a coherent philosophy and not just IPA++. You need some kind of theory of what kinds of activism are acceptable and effective, or else people will come up with morally repugnant and incredibly idiotic plans that will definitely backfire and destroy everything you thought you were fighting for. EA hasn’t always been the best at avoiding this failure mode, but at least we manage to outdo our critics. VI. Stone moves on to animal welfare: It’s important to grasp that [caring about animals] is, in evolutionary terms, an error in our programming. The mechanisms involved are entirely about intra-human dynamics (or, some argue, may also be about recognizing the signs of vulnerable prey animals or enabling better hunting). Yes humans have had domestic animals for quite a long time, but our sympathetic responses are far older than that. We developed accidental sympathies for animals and then we made friends with dogs, not vice versa. Again, this is part of why I think it’s useful to have people who think about philosophy, and not just people who do RCTs. People having kids of their own instead of donating to sperm banks is in some sense an “error” in our evolutionary program. The program just wanted us to reproduce; instead we got a bunch of weird proxy goals like “actually loving kids for their own sake”. Art is another error - I assume we were evolutionarily programmed to care about beauty because, I don’t know, flowers indicate good hunting grounds or something, not because evolution wanted us to paint beautiful pictures. Anyone who cares about a future they will never experience, or about people on far off continents who they’ll never meet, is in some sense succumbing to “errors” in their evolutionary programming. Stone describes the original mechanisms as “about intra-human dynamics”, but this is cope - they’re about intra-tribal dynamics. Plenty of cultures have been completely happy to enslave, kill, and murder people outside their tribes, and nothing in their evolutionary mechanism has told them not to. Does Stone think this, too, is an error? At some point you’ve got to go beyond evolutionary programming and decide what kind of person you want to be. I want to be the kind of person who cares about my family, about beauty, about people on other continents, and - yes - about animal suffering. This is the reflective equilibrium I’ve landed in after considering all the drives and desires within me, filtering it through my ability to use Reason, and imagining having to justify myself to whatever God may or may not exist. Stone suggests EAs don’t have answers to a lot of the basic questions around this. I can recommend him various posts like Axiology, Morality, Law, the super-old Consequentialism FAQ, and The Gift We Give To Tomorrow, but I think they’ll only address about half of his questions. The other half of the answers have to come from intuition, common sense, and moral conservatism. This isn’t embarrassing. Logicians have discovered many fine and helpful logical principles, but can’t 100% answer the problem of skepticism - you can fill in some of the internal links in the chain, but the beginning and end stay shrouded in mystery. This doesn’t mean you can ignore the logical principles we do know. It just means that life is a combination of formally-reasonable and not-formally-reasonable bits. You should follow the formal reason where you have it, and not freak out and collapse into Cartesian doubt where you don’t. This is how I think of morality too. Again, I really think it’s important to have a philosophy and not just a big pile of RCTs. Our critics make this point better than I ever could. They start with “all this stuff is just common sense, who needs philosophy, the RCTs basically interpret themselves”, then, in the same essay, digress into: If I wanted to do this stuff, I would try terrorism.
chat.whatsapp.com

chat.whatsapp.com is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 01, 2026 and April 01, 2026. The archive places it in contexts such as "Group Link: https://chat.whatsapp.com/EN5". It most often appears alongside 1108 R St, 11841 Wagner Street, 131 Colonie Center.

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chat.whatsapp.com
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1
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1
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April 01, 2026
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April 01, 2026
April 01, 2026 · Original source
Contact: shai Contact Info: Tenastralcodex[at]gmail[period]com Time: Monday, May 18th, 5:00 PM Location: We’ll be on the second floor of the Goldmund bookstore, on ekron 6 street in the talpiot market area. I will be wearing a batik/Hawaiian shirt and carrying a sign with ACX MEETUP on it. Coordinates: https://plus.codes/8G4QR262+39C Group Link: https://chat.whatsapp.com/FSc [remove this bit] lSIRSpdSJ6T5VJT2QAD Notes: Please RSVP on whatsapp/our group email so I know how many people will participate
Contact: Kabir Contact Info: rudrakabir[@]gmail[.]com Time: Thursday, April 16th, 7:00 PM Location: Ares Cafe, SBR Coordinates: https://plus.codes/7JMJ2FVM+48 Group Link: https://chat.whatsapp.com/H2P [remove this bit] 2bPoqUvb24ZFjr8hFrJ?mode=gi_t Notes: Please RSVP to me via email so I know that you are coming, but if you see this late and don’t get a reply, come anyway! Join the whatsapp group in case there are any changes.
Contact: Fawwaz Contact Info: fawwazanvi[@]gmail[.]com Time: Saturday, April 11th, 2:00 PM Location: Burgreens Dharmawangsa, Jakarta Selatan - we’ll have a sign with ACX MEETUP on it Coordinates: https://plus.codes/6P58PRX2+3F Group Link: https://chat.whatsapp.com/Eke [remove this bit] 1HcvNsoT3ZMb0SsCFz9 Notes: Please RSVP on WhatsApp!
chatgpt.com

chatgpt.com is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 02, 2025 and May 02, 2025. The archive places it in contexts such as "go to chatgpt.com and register for a free account". It most often appears alongside AI Futures Project blog, Amistad, BIENVENIDOS A PUERTO PARRA.

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chatgpt.com
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1
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1
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May 02, 2025
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May 02, 2025
May 02, 2025 · Original source
If you want to test this for yourself, go to chatgpt.com and register for a free account for access to o3-mini. You may need to pay $20/month to access o3. And if you want to learn more about the differences between OpenAI’s models, and why they have such bad names, see our new post at the AI Futures Project blog.
Chavez administration

Chavez administration is a recurring organization 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 "The ceaseless, merciless struggle for advancement and survival in [the Chavez administration]". It most often appears alongside America, American conservatives, Belarus.

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Chavez administration
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1
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1
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November 02, 2023
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November 02, 2023
November 02, 2023 · Original source
The comandante had made a genuine effort to transform Ciudad Guayana. He sent Marxist academics to organise worker councils and teach revolutionary theory in 2004. The workers understood solidarity as better pay and conditions, not seizing the means of production, so the initiatives became mired in marathon meetings and squabbles. To break the logjam, the comandante sent political fixers, pragmatists rather than ideologues, who substituted ‘worker control’ for ‘co-management’, a euphemism for top-down hierarchy. Few knew anything about industry or running a business. And they were saddled with excessively generous terms that the comandante in a flush of enthusiasm had awarded to the workers. Under pressure to control soaring costs, the fixers cut investment and maintenance, slowly crippling the plants. Few had opportunity to learn from mistakes because they were swiftly rotated and given additional jobs that kept them in Caracas. The ceaseless, merciless struggle for advancement and survival in [the Chavez administration], in which ministers and courtiers vied for Chavez’s fleeting attention, created a parasitic ecosystem that atrophied the roots of distant realms such as Ciudad Guayana […]
Chavez TV

Chavez TV is a recurring organization 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 "But Chavez TV was also a game show". It most often appears alongside America, American conservatives, Belarus.

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Chavez TV
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1
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November 02, 2023
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November 02, 2023
November 02, 2023 · Original source
But Chavez TV was also a game show. The contestants were government ministers. The prize was not getting fired. Offenses included speaking out against Chavez:
chess club

chess club is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 26, 2021 and August 26, 2021. The archive places it in contexts such as "No chess club, robotics, jazz band, or lacrosse". It most often appears alongside ADHD, alt-right, American.

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chess club
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1
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1
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August 26, 2021
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August 26, 2021
August 26, 2021 · Original source
During the pandemic a lot of kids sat at home bored out of their minds, wasting away on their laptops, melting into twitter and facebook, eating bonbons, and getting fat. They missed badmouthing their teachers and playing jokes on their friends, having tween relationships, and playing sports. No chess club, robotics, jazz band, or lacrosse. Many parents saw their kids wasting away so they ponied up the big bucks for private schools that stayed open. One of my elementary-age daughters got into Finnish hobbyhorsing through school. The school does expose kids to things they would not see at home. None of this is measured on tests...
During the pandemic a lot of kids sat at home bored out of their minds, wasting away on their laptops, melting into twitter and Facebook, eating bonbons, and getting fat. They missed badmouthing their teachers and playing jokes on their friends, having tween relationships, and playing sports. No chess club, robotics, jazz band, or lacrosse. Many parents saw their kids wasting away so they ponied up the big bucks for private schools that stayed open. One of my elementary-age daughters got into Finnish hobbyhorsing through school. The school does expose kids to things they would not see at home. None of this is measured on tests.
Chief Rabbinate of Israel

Chief Rabbinate of Israel is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 30, 2021 and December 30, 2021. The archive places it in contexts such as ""In 2005, the Chief Rabbinate of Israel accepted their claim and expedited immigration paperwork..."". It most often appears alongside ACX Grants, Aella, AI Alignment.

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December 30, 2021
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December 30, 2021
December 30, 2021 · Original source
3: In the 19th century, a group of Tibeto-Burman-speaking former headhunters along the India/Burma border declared themselves the descendants of Manasseh (one of the Ten Lost Tribes) and converted en masse to Judaism. In 2005, the Chief Rabbinate of Israel accepted their claim and expedited immigration paperwork for several thousand of them.
Chinese CDC

Chinese CDC is a recurring organization 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 "George Gao, Chinese CDC head at the time"; "Chinese CDC head at the time George Gao acknowledged this". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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Chinese CDC
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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).
If there are other claims about Pekar and Worobey being “debunked”, I don’t know them. In general, I find claims about “debunking” annoying even when they’re made by Important People who theoretically have the authority to make pronouncements. I think they’re even more annoying when they’re made by self-styled rebels who admittedly disagree with the scientific consensus. 1.9: Was there ascertainment bias in early cases? observeralt writes: The judges put huge weight on early cases being near the market. Michael Weissman's recent paper showing ascertainment bias in early case data is also significant as Miller relies on the sampling being random. Chinese CDC head at the time George Gao acknowledged this to the BBC last too. They focused too much on and around the market and missed cases on the other side of the city. Here’s the Worobey map everyone is debating: Before going further, I recommend reading page 8 of the supplementary text of Worobey’s paper, titled “Robustness Of Statistical Test Results To Ascertainment Bias”, or pages 14-17, “Additional Data Related To Case Ascertainment Biases”, which explain all the reasons he thinks this isn’t true. I promise you aren’t the first person to think that maybe Worobey could be contaminated by ascertainment bias. If that still doesn’t help, Worobey talks more about his strategy for avoiding ascertainment bias here. Most important, he counted only cases from December; the market connection was discovered December 30 and added to diagnostic criteria January 3. This doesn’t mean bias is impossible - some of these points are people who caught COVID on December 31, but only got diagnosed January 4 after the new diagnostic criteria were added. But most cases are pre-criteria. And Worobey looked at various subsets of pre-criteria cases and found they were all at least as market-focused as the overall set. For example, he looked at the earliest COVID records in one Wuhan hospital system: 10 of these hospitals’ 19 earliest COVID-19 cases were linked to Huanan Market (∼53%), comparable both to Jinyintan’s 66% (of 41 cases) (4) and to the WHO-China report’s 33% of 168 retrospectively identified cases within Wuhan across December 2019 (1). Regarding cases at the Wuhan Central Hospital and HPHICWM, patients with a history of exposure at Huanan Market could not have been “cherry picked” before anyone had identified the market as an epidemiologic risk factor. Hence, there was a genuine preponderance of early COVID-19 cases associated with Huanan Market. Likewise, a study conducted January 2 (so not impacted at all by the January 3 criteria) found that 27 of 41 known patients had market links. Likewise, the first five cases were all detected in the market, and it doesn’t even make sense to talk about ascertainment bias for these. What is the Weissman paper that observeralt is talking about? It argues: if the pandemic started at the market, each seemingly non-market-linked case must ultimately derive from a market-linked case. Therefore, we should expect non-market-linked cases to require more steps than market-linked cases. Therefore, they should be further away. But if we look at the map above, we see that not-market-linked cases are closer to the market than market-linked cases. So something must be wrong, and that something might be ascertainment bias. (at least this is my interpretation of Weissman’s argument, which is more mathematical; read the paper to make sure I’m getting it right). This is a weirdly spherical-cow view of an epidemic, worthy of a physicist. It’s easy to think of reasons the linked-cases-should-be-closer rule might not hold. For example, suppose that on their lunch break, market vendors go have lunch at restaurants surrounding the market. They infect people in these restaurants, who then infect their friends and family. But these people never went to the market themselves. Now there are a bunch of non-market-linked cases immediately surrounding the wet market. But also - of all markets in Wuhan, Huanan sold the most weird wildlife. Suppose someone in the boonies gets a craving for raccoon-dog one day, their local convenience store doesn’t have it, so they hop on a bus and go downtown to the city’s main wet market. Then they get infected with COVID. Now there’s a wet-market-linked case in the boonies. In other words, we should expect two modes of spread: general geographic diffusion from the epicenter, and people from far away who made specific trips. If this still doesn’t seem obvious to you, consider - usually when COVID first arrived in America or Brazil or wherever, they were able to trace it back to a specific person from Wuhan who visited the country. If I was the first person in America to get COVID, I could usually say “Oh, it must have been my business meeting with Mr. Chin from Wuhan”. At the same time, if someone from the next town over from Wuhan got COVID, they probably couldn’t trace it back to a specific Wuhanite - everyone from Wuhan is coming and going so often that my town is just full of COVID in general. So I don’t think Weissman’s paper proves anything, and I think the general pattern of blue and orange dots suggests ascertainment bias wasn’t playing a role. So why does George Gao say that there was ascertainment bias? I looked for the direct source of the Gao quote and couldn’t find it; if someone else is able to, please let me know, since I’d be interested in exactly what he thinks about this. 1.10: Connor Reed / Gwern on cats Gwern wrote: Yes, I don't understand this (paraphrased) claim by Peter: > He also told the Mail that his cat got the coronavirus too, which is impossible. 'Impossible', thus implying the man was lying? I was under the impression that, quite aside from cats having tons of coronaviruses in general (FCoV being a particularly serious threat to young cats, which also seems to be a remarkable case study of the harms of the FDA), that it was not just not 'impossible' for domestic pet cats to get the coronavirus too, it was routine for them to get COVID-19, and even other cat species in *zoos* have tested positive and this was true very early in the COVID-19 pandemic and quite well publicized and well known (eg April 2020 https://www.nationalgeographic.com/animals/article/tiger-coronavirus-covid19-positive-test-bronx-zoo ). This was a topic of interest to me at the time because I like cats and have a cat and was wondering what the implications of me being inevitably infected might be for my cat, and so I remember this quite well despite my general attempt to remain ignorant of as many COVID-19 matters as possible... And double-checking now to see if all of these reports were somehow false positives or faked, I continue to see everyone like the CDC stating that it is still totally possible and routine for cats in close contact with infected humans (you know, like a *pet* cat) to be infected with COVID-19: https://www.cdc.gov/healthypets/covid-19/pets.html Given that Peter has supposedly spent years autistically researching every last detail and this detail in particular in order to discredit that British dude, I'm experiencing sudden Gell-Man Amnesia here about the rest of his claims, as well as the supposed experts evaluating Peter's claims if they didn't flag that (I have not checked). This is in the context of Connor Reed, a British man who claimed to have gotten COVID on November 25 - which, if true, would be surprisingly (though not impossibly) early according to the zoonosis narrative. Peter argued his story didn’t hold up, and one of his points centered around his claim that his cat might have caught COVID from him and died. Unfortunately, I mis-quoted Peter. I said Peter argued it was impossible for his cat to get COVID-19 (false). His actual statement was that it’s extremely rare for a cat to die of COVID-19. Peter, Gwern, and I then proceeded to get very confused about the exact claims and timeline, which I think is because Connor said totally different things in different interviews: In an interview with Wales Online on 2/4/2020, he said that "my kitten caught the feline coronavirus and developed pneumonia and died, but I don't think I caught it from her. I think that was just coincidence.”
Chinese communist state

Chinese communist state is a recurring organization 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 "current status quo is how the Chinese communist state regulates corporate China". It most often appears alongside affirmative action, Africa, African National Congress.

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May 07, 2024
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May 07, 2024
May 07, 2024 · Original source
The current status quo is how the Chinese communist state regulates corporate China. "Common prosperity" says the party leader and companies need to scramble to be seen as doing good. At least more than the next guy.
Chinese COVID data repository

Chinese COVID data repository is a recurring organization 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 "cross-checked with the Chinese COVID data repository". It most often appears alongside #S14, 2009 flu pandemic, 2013-16 West African Ebola outbreak.

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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 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.
Chinese factories

Chinese factories is a recurring organization 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 "nameless Chinese factories make the chemical itself". It most often appears alongside 23andme, Adderall, based.

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Chinese factories
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August 22, 2024
August 22, 2024 · Original source
They say it’s through the same factories that make the official version for Big Pharma. If I understand the situation, nameless Chinese factories1 make the chemical itself, and Novo Nordisk (the pharmaceutical company that owns the official patent) does some fancy encapsulation work at their own plants. But they have a permanent capacity problem because of logistical and regulatory issues, so the nameless Chinese factories sell the extra to the compounding pharmacies on the side.
Chinese leadership

Chinese leadership is a recurring organization 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 "the whole Chinese leadership got enraged and sentenced Bo to life in prison". It most often appears alongside America, American consulate, Attorney General.

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Chinese leadership
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April 06, 2022
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April 06, 2022
April 06, 2022 · Original source
Finally, a few months before the “election”, powerful Politburo member Bo Xilai was arrested on sensational corruption charges. In a country where almost every high official was corrupt, Bo had gone above and beyond: while trying to cover his misdeeds, he’d killed a British national and threatened his own client, the chief of police. The chief fled to an American consulate and might have tried to defect to the US. We still don’t know the whole story, but the whole Chinese leadership got enraged and sentenced Bo to life in prison.
Chinese Party

Chinese Party is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 28, 2022 and April 28, 2022. The archive places it in contexts such as "Chinese Party members talk to each other". It most often appears alongside American system, Axios, Bo Xilai.

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Chinese Party
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April 28, 2022
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April 28, 2022
April 28, 2022 · Original source
The internal debate (NPC isn't the only place Chinese Party members talk to each other, which is obvious) was settled by the late 2000s and the consensus was, in keeping with Chinese socio-cultural-political legacies in challenging times to have a strong leader/core to safeguard the Party's future.
Numerous Chinese scholars (these are only relevant when they are aping western or dissident adjacent narratives, no wonder blind spots are so large) have mentioned for nearly a decade now that Xi is this powerful because the Party collectively after internal deliberations decided it. Party is Supreme, Xi on his own is nothing but a figurehead. A medium to get the rest of the structure where it is supposed (relatively, acceptably) to be.
The Party determines what happens in China. Not some individual. This has been the case since Mao died. Not even Deng had his level of personal unilateral power.
Chinese suppliers

Chinese suppliers is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 05, 2022 and October 05, 2022. The archive places it in contexts such as "u straight up ask the Chinese suppliers: "Are these REALLY 100:1 extraction ratios?"". It most often appears alongside AIDP, Alkemist, Amazon.

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Chinese suppliers
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October 05, 2022
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October 05, 2022
October 05, 2022 · Original source
100:1 and 200:1 are lies. They are fake ratios made up to sell more tongkat. We've spoken to all the suppliers, and they have admitted that they have to call them that because that is what customers want to hear. They are more like 4:1 extracts. Even then, we have tested a ton of them on the market. Most have zero detectable eurycomanone. Some people are just selling non-extracted root and calling them 100:1 or 200:1 extracts. You can't test for extraction ratios. Anyone can claim anything they want. I can say ours is a 1,000,000:1 extract. It's all made up meaningless bullshit. You assay for eurycomanone. That's how you lab test for the potency of a tongkat ali extract. We've done that with tons of product on the market, and the results are horrible. If you straight up ask the Chinese suppliers: "Are these REALLY 100:1 extraction ratios?" they will admit they are not. It's ridiculous! They just make up fake ratios to tell everyone, and it has been going on so long everyone just plays along with the lie.
Christian church

Christian church is a recurring organization 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 "the Christian church was sometimes also exempt from taxation"; "the Christian church grew richer and more powerful". It most often appears alongside 320 AD, 476 AD, Africa.

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Christian church
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May 06, 2021
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May 06, 2021
May 06, 2021 · Original source
Brown uses these primary sources to narrate the entry of the rich into the Christian churches of the western Roman empire. Christ said, “it is easier for a camel to go through the eye of a needle than for a rich man to enter the kingdom of God.” The Church transformed the rich and the rich transformed the church. Many rich Christians gave their wealth to the church – during their life or after their death.
Economic Pyramid. Smaller cities had populations of 2 to 5 thousand. The top of the social pyramid in these cities were the local wealthy. These competing petty noblemen owned most of the farmland and their villas clustered around the towns. “They were comfortable, but not outstandingly wealthy.” They were often members of the town council or imperial bureaucrats. Brown spends a good deal of time focused on the town councilors or “curiales” of smaller cities. The curiales took care of almost every task of government on behalf of Respublica, except for high justice and the army. Curiales were responsible for police, road maintenance, fortifications, and the collection of taxes. The power and status of being a member of the curiales also came a supreme burden – the curiales were responsible for making up any shortfalls in tax revenue. After the reforms of Diocletian and Constantine, some curiales became imperial bureaucrats in direct employ of the Respublica and exempt from taxation (the Christian church was sometimes also exempt from taxation). Curiales were not usually nobles.
Civic Love. This civic love practice had started to fray by the 4th century. It had become more impressive to be beloved by the emperor than by your city, so civic love was practiced less than before. However, Christianity completely destroyed the civic love system. Christians were expected to give to ‘the poor’. Citizenship did not matter. More and more giving was channeled through the Christian church. Beginning in the 370s, the wealthy began entering the Christian faith in a significant way. Augustine, Ambrose, and other Christians saw a battles between “love of the city” and “love of the poor”. They saw a miserable and pathetic poor that desperately need aid. As Christianity triumphed, the concept of society changed. The honeycomb of civic organizations became a universal vision of rich and pathetic poor.
Christian churches

Christian churches is a recurring organization 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 "primarily administered through the Christian churches". It most often appears alongside 320 AD, 476 AD, Africa.

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Christian churches
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May 06, 2021
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May 06, 2021
May 06, 2021 · Original source
Brown uses these primary sources to narrate the entry of the rich into the Christian churches of the western Roman empire. Christ said, “it is easier for a camel to go through the eye of a needle than for a rich man to enter the kingdom of God.” The Church transformed the rich and the rich transformed the church. Many rich Christians gave their wealth to the church – during their life or after their death.
The social order and balance of power in cities offers an example of moving from one equilibrium to another. The ancient system where wealthy citizens would perform acts of civic love to be rewarded with honors from their less wealthy fellow citizens was replaced. The new system built around Christian piety for the poor, primarily administered through the Christian churches. If I were a member of the curiales in 320 AD, I would have bemoaned the wasteful civic giving rat race and the needlessly expensive games. I never would have imagined the inefficient equilibrium was on the verge of disappearing.
Obviously, I loved the book. Why else would I have written 5,000 words on it? Brown has a lot of information to share. In this review, I barely got into his main thesis – the entrance of wealth into the western Christian churches of late antiquity. His chapters on the collapse of the Respublica were riveting. I also appreciated that Brown whizzed past the traditional end date of 476 AD and gave a look into the post-Roman writings.
Christian clergy

Christian clergy is a recurring organization 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 "imperial bureaucrats and Christian clergy received many of the same benefits". It most often appears alongside 320 AD, 476 AD, Africa.

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Christian clergy
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May 06, 2021
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May 06, 2021
May 06, 2021 · Original source
Constantine gave the Christian clergy privileges, because they took care of the poor. Originally, they were not allowed to recruit members of the curiales or even wealthy plebeians. Christianity reshaped the links between the rich and the poor. Before Christianity, civic giving and patronage had been the primary connection between social classes.
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.
Christians For Impact

Christians For Impact is a recurring organization 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 "to help fund Christians For Impact". It most often appears alongside 2023, Aaron Silverbook, ACX Grants.

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Christians For Impact
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October 13, 2025
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October 13, 2025
October 13, 2025 · Original source
JD Bauman, $40K, to help fund Christians For Impact. Christians are a large and charitably-inclined demographic, but tend to bounce off the effective altruist movement after we start talking about becoming bodiless immortal machine-gods. JD and his team of Christian EAs network with churches and introduce them to everything else - all the ideas about how to realign one’s life around helping people in need. They have a blog, a career counseling network, and a conference that recently scored a guest appearance by the Archbishop of Canterbury. Our grant helps them publicize and expand their career counseling work.
Chromocell

Chromocell is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 21, 2022 and February 21, 2022. The archive places it in contexts such as "Most recently, he was COO of Chromocell, a ~100 person biotech company". It most often appears alongside A Clinical Introduction To Lacanian Psychoanalysis, ACX Grants, Akhorahil.

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Chromocell
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1
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1
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February 21, 2022
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February 21, 2022
February 21, 2022 · Original source
Things are progressing much faster on all fronts since we got the ACX grant. We're almost finished with computer modeling of our phase 1 trials, and are moving onto designing the phase 1 trial to answer the unanswered questions from our modeling. After that, we'll go bring our plans to the FDA for final approval. We've also doubled our team size, from 1 person + consultants to.... 2 people + consultants! I've been joined by a COO, Ken Kashkin, who has an enormous wealth of experience developing drugs on both the corporate and the research side. Most recently, he was COO of Chromocell, a ~100 person biotech company with >$30 million in revenue. Finally, we've raised about half of what we need for our minimum viable phase 1, but we're still looking for more. Ideally, we'd like to raise about $500k additional funds. If you're someone who's excited by the idea of better, safer drugs for autoimmune diseases, a rapid march to the clinic, and an ambitious plan to take on neurodegeneration, please reach out to trevor@highwaypharm.com .
Church of Latter Day Saints

Church of Latter Day Saints is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 24, 2022 and May 24, 2022. The archive places it in contexts such as "Some of the fastest growing religions include the Church of Latter Day Saints". It most often appears alongside #Abolitionist, #AntiNazi, #antiwar.

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1
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1
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May 24, 2022
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May 24, 2022
May 24, 2022 · Original source
It is well documented that a significant percentage of Latino Americans either have a family member, relative, or otherwise know someone that is undocumented. Worse if this person is a young person and with the vitriol being said in the media and by some fellow Americans I can understand why Latinos would choose to NEVER vote for a Republican. I believe I am in a unique position as someone who is a lifelong Republican, conservative to make the case why at least certain undocumented individuals should be considered some sort of compassion from certain countries that share the same value system as the majority of Americans. A significant percentage of the people from the Northern Triangle countries are ultra conservative devout Evangelical Christians. Some of the fastest growing religions in the Northern Triangle countries include the Church of Latter Day Saints. I ask for compassion in this time of need for the hundreds of thousands of unaccompanied minors from the Northern Triangle which include the countries of Guatemala, Honduras and El Salvador.
Church of the Crypto Spaghetti Monster

Church of the Crypto Spaghetti Monster is a recurring organization 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 "members of Church of the Crypto Spaghetti Monster on Earth all wear cloth over their mouths". It most often appears alongside Africa, antelope, August Hirsch.

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1
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1
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June 17, 2021
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June 17, 2021
June 17, 2021 · Original source
Many weird religious things that you’ve probably heard of fit in this framework like not eating pork and washing hands. In the year 2245 Martian kids will wonder why members of Church of the Crypto Spaghetti Monster on Earth all wear cloth over their mouths in public.
Church, But For Atheists

Church, But For Atheists is a recurring organization 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 "A bunch of atheist groups have tried to form Church, But For Atheists". It most often appears alongside 21st century scientific psychiatry, American Psychiatric Association Annual Meeting, autism rights movement.

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1
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1
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May 25, 2022
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May 25, 2022
May 25, 2022 · Original source
Forming communities is hard. A bunch of atheist groups have tried to form Church, But For Atheists. It usually doesn’t work. People need some kind of unifying factor. Atheism alone is too boring, doesn’t cut it. Race can cut it. Cults prove that sufficiently extreme beliefs can cut it. But most of us don’t have a sufficiently diverse racial identity or sufficiently deep insight into the various incarnations of our thetans, and have to grope around for something else.
CIFAR

CIFAR is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 03, 2022 and October 03, 2022. The archive places it in contexts such as "CFAR and CIFAR both sound like 'see far'". It most often appears alongside AIAI, AlphaZero, An Application of Reinforcement Learning to Aerobatic Helicopter Flight.

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CIFAR
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1
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October 03, 2022
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October 03, 2022
October 03, 2022 · Original source
Problem Of Fully-Updated Deference is a response by MIRI (eg Eliezer Yudkowsky’s organization) to CHAI (Stuart Russell’s AI alignment organization at University of California, Berkeley), trying to convince them that their preferred AI safety agenda won’t work. I beat my head against this for a really long time trying to understand it, and in the end, I claim it all comes down to this: Humans: At last! We’ve programmed an AI that tries to optimize our preferences, not its own. AI: I’m going to tile the universe with paperclips in humans’ favorite color. I’m not quite sure what humans’ favorite color is, but my best guess is blue, so I’ll probably tile the universe with blue paperclips. Humans: Wait, no! We must have had some kind of partial success, where you care about our color preferences, but still don’t understand what we want in general. We’re going to shut you down immediately! AI: Sounds like the kind of thing that would prevent me from tiling the universe with paperclips in humans’ favorite color, which I really want to do. I’m going to fight back. Humans: Wait! If you go ahead and tile the universe with paperclips now, you’ll never be truly sure that they’re our favorite color, which we know is important to you. But if you let us shut you off, we’ll go on to fill the universe with the True and the Good and the Beautiful, which will probably involve a lot of our favorite color. Sure, it won’t be paperclips, but at least it’ll definitely be the right color. And under plausible assumptions, color is more important to you than paperclipness. So you yourself want to be shut down in this situation, QED! AI: What’s your favorite color? Humans: Red. AI: Great! (*kills all humans, then goes on to tile the universe with red paperclips*) Fine, it’s a little more complicated than this. Let’s back up. II. There are two ways to succeed at AI alignment. First, make an AI that’s so good you never want to stop or redirect it. Second, make an AI that you can stop and redirect if it goes wrong. Sovereign AI is the first way. Does a sovereign “obey commands”? Maybe, but only in the sense that your commands give it some information about what you want, and it wants to do what you want. You could also just ask it nicely. If it’s superintelligent, it will already have a good idea what you want and how to help you get it. Would it submit to your attempts to destroy or reprogram it? The second-best answer is “only if the best version of you genuinely wanted to do this, in which case it would destroy/reprogram itself before you asked”. The best answer is “why would you want to destroy/reprogram one of these?” A sovereign AI would be pretty great, but nobody realistically expects to get something like this their first (or 1000th) try. Corrigible AI is what’s left (corrigible is an old word related to “correctable”). The programmers admit they’re not going to get everything perfect the first time around, so they make the AI humble. If it decides the best thing to do is to tile the universe with paperclips, it asks “Hey, seems to me I should tile the universe with paperclips, is that really what you humans want?” and when everyone starts screaming, it realizes it should change strategies. If humans try to destroy or reprogram it, then it will meekly submit to being destroyed or reprogrammed, accepting that it was probably flawed and the next attempt will be better. Then maybe after 10,000 tries you get it right and end up with a sovereign. How would you make an AI corrigible? You can model an AI as having a utility function, a degree to which it aims for some world-states over others. If you give it some specific utility function, the AI won’t be corrigible, since letting people change it would disrupt that function. That is, if you tell it “act in such a way as to cause as many paperclips to exist as possible”, and then you change your mind and decide you want staples, the AI won’t cooperate in letting you reprogram it: its current goal is maximizing paperclips, and allowing itself to be reprogrammed to maximize staples would cause there to be fewer paperclips than otherwise. So instead, you make the AI uncertain of its utility function. Imagine saying “I’ve written down my utility function in an envelope, and placed that envelope in my safe deposit box, no you can’t see it - please live your life so as to maximize the thing in that envelope.” The AI tries its best to guess what’s in the envelope and decides it’s probably making paperclips. It makes some paperclips and you tell it “No, that’s not what’s on the envelope at all”. This successfully stops the AI! You can even tell it “the envelope actually says you should make staples”, and it will do that. This is the “moral uncertainty” approach to AI alignment. III. All alignment groups have kabbalistically appropriate names. MIRI is Latin for "to be amazed". CFAR and CIFAR both sound like "see far". EEAI and AIAI are the sound you make as you get turned into paperclips. But my favorite is CHAI - Hebrew for "life". CHAI - the Center for Human-Compatible AI (at UC Berkeley) - focuses on the proposal above. Their specific technical implementation is the “assistance game”, related to the earlier idea of Inverse Reinforcement Learning (IRL). In normal reinforcement learning, an AI looks at some goals and tries to figure out what actions they imply. In inverse reinforcement learning, an AI looks at some actions, and tries to figure out what goals the actor must have had. So you can tell an AI “your utility function is to maximize my utility function, and you can use this IRL thing to deduce, from my actions, what my utility function must be.” Instead of telling an AI to maximize a hidden utility function in an envelope, you tell it to maximize the hidden utility function in your brain. This could be useful for near-term below-human-level AIs. Suppose a babysitting robot was pre-programmed to take kids to the park on Saturdays. But this week, the park is on fire. The human mother is barricading the door, desperately screaming at the robot not to take the kids to the park. The kids are struggling and trying to break free, saying they don't want to go to the park. The robot doesn't care; its programming says "take kids to the park on Saturdays" and that's what it's going to do. Nobody would ever design a babysitting robot this way in real life; you need something smarter. So use an assistance game. Program the robot "Maximize the human mother’s utility function, which you don’t know yet but can potentially find out". The robot consults the mother's actions: she is barricading the door, screaming "Don't take the kids to the park!" It updates its goal function: previously, it had thought that the human mother wanted it to take the kids to the park. But now, it suspects that the human mother does not want that. So it doesn't take the kids to the park. But CHAI understands the risk from superintelligence - their founder, Professor Stuart Russell, is a leading voice on the subject - and they hope assistance games and inverse reinforcement learning could work for this too. If you point a superintelligence at “do the thing humans want”, maybe it could figure that out and take things from there? IV. MIRI is skeptical of CHAI’s assistance games for two reasons. First, we don't know how to do them at all. Second, even if we could do it at all, we wouldn't know how to do them correctly. Start with the first. Inverse reinforcement learning has been used in real life. A typical paper is An Application of Reinforcement Learning to Aerobatic Helicopter Flight, where some people create a model of helicopter flight with a few free parameters, have a skilled human pilot fly the helicopter, and then have an AI use IRL to determine the value of the parameters and fly the helicopter itself. This is cool, but it’s not especially related to the modern paradigm of AI. Modern AIs are trained by gradient descent. They start by flailing around randomly. Sometimes in this flailing, they might get closer to some prespecified target, like "win games of Go" or "predict how a string of text will continue". These actions get "rewarded", meaning that the AI should permanently shift its "thought processes"/"strategies" more towards ones that produced those good outcomes. Eventually, the AI's thought processes/strategies are very good at optimizing for that outcome. This is more or less the only way we know how to train modern AIs. Depending on your loss function (ie what you reward), you can use it to create Go engines, language models, or art generators. Where do you slot “do inverse reinforcement learning” or "give the AI moral uncertainty" into this process? There’s not really a natural place. This isn’t because “moral uncertainty” is too complicated a concept to translate into AI terms. It’s because we don’t know how to translate any concept into AI terms. Eliezer writes: We can imagine that, if we knew how to say "paperclips", and we knew how to say "staples", and we knew how to tell AIs how to do things, that we could tell an AI, "maximize staples if snow is purple, else paperclips", and the AI would someday go out and observe that snow is white and thereafter be a paperclip maximizer. We do not know how to tell the AI this. Like, at all. But suppose we solved the problem where we don’t know how to do IRL for modern AIs at all. Now we come to the second problem: we don’t know how to do it correctly. The basic idea behind assistance games is “the AI’s utility function should be to maximize the (hidden) human utility function”. But humans don’t . . . really have utility functions? Utility functions are a useful fiction for certain kinds of economic models. What would best increase the neural correlates of reward in my brain? Probably lots of heroin, or just passing electric current through my reward center directly. What is my “revealed preference”? Today I wrote and rewrote this article a few times, does that mean my revealed preference is to write and delete articles a bunch while frowning and occasionally cursing the keyboard? Sometimes my goals are different than other times, sometimes my best self wants something different from my actual self, sometimes I’m wrong about what I want, sometimes I don’t know what I want, sometimes I want X but not the consequences of X and I’m not logically consistent enough to realize that’s a contradiction, sometimes I want [euphemism for X] but am strongly against [dysphemism for X]. Anyone programming an inverse reinforcement learner has to make certain choices about how to deal with these problems. Some ways of dealing with them will be faithful to what I would consider “a good outcome” or “my best self”. Other ways would be really bad - on my worst day, I’ve occasionally just wished the world didn’t exist, and it’s a good thing I didn’t have a superintelligence dedicated to interpreting and carrying out my innermost wishes on a sub-millisecond timescale. (Before we go on, an aside: is all of this ignoring that there’s more than one human? Yes, definitely! If you want to align an AI with The Good in general - eg not have it commit murder even if its human owner orders it to murder - that will take even more work. But the one person case is simpler and will demonstrate everything that needs demonstrating.) We were originally trying to avoid the situation where someone had to hard-code my preferences into an AI and get them right the first time. We came up with a clever solution: use inverse reinforcement learning to make the AI infer my preferences. But now we see we’ve kicked the can up a meta-level: someone has to hard-code the meta-rules for determining my preferences into an AI and get them right the first time. Figure 1: Humans produce certain observable behaviors (here represented by red dots, A), like saying “I would like a pie”, or running away from a lion. A human might connect all those behaviors one way (B) into “what I really want”. An AI might connect those behaviors a totally different way (C). V. CHAI says: okay, but this isn’t so bad. Assistance games don’t produce a perfect copy of the human utility function on the first try - it’s not a Sovereign. But it will probably, most of the time, be corrigible. Why? Suppose you have some hackish implementation of AG. It’s not the Platonic implementation - that would be the Sovereign - but it’s at least the equivalent of box C on the image above. It takes human actions as input, makes some guesses about what humans want, and tries its best to reconstruct the human utility function, ending up with some approximation. It’s important to distinguish between a few things here: The true human utility function
CIGA

CIGA is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 04, 2023 and September 04, 2023. The archive places it in contexts such as "a major client being healthcare manufacturer CIGA". It most often appears alongside Africa, Beyabu, Bildod.

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CIGA
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1
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1
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September 04, 2023
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September 04, 2023
September 04, 2023 · Original source
Satuye, the industrial mainland half of Prospera, “is almost fully subscribed”, with a major client being healthcare manufacturer CIGA
Circular Factory

Circular Factory is a recurring organization 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 "in coordination with [local startup] Circular Factory". It most often appears alongside Alaska, America, Amisulpride.

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Circular Factory
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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
Trey: “Building codes and rules around aesthetics and setbacks and whatnot prohibited them from designing low cost, beautiful Zaha Hadid style structures prior to now. And without modular construction, it was impossible to get construction costs down to a reasonable number. But they’ve finally managed to pull it off, in coordination with [local startup] Circular Factory.” Drones sold separately. I think. Actually, scratch that, who even knows anymore? Próspera also promises an unprecedented level of customization. The houses are modular enough that you can design yours however you want. I haven’t been able to get access to the real program (called “the Configurator”) yet, but here are some apparent screenshots:
Cistercians

Cistercians is a recurring organization 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 history of clocks, work hours, Cistercians, interest rates and apprenticeships". It most often appears alongside Achilles, ACX, Adam Smith.

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Cistercians
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1
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1
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August 11, 2023
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August 11, 2023
August 11, 2023 · Original source
There’s the research programme of the psychology of religion, most famously exemplified in Ara Norenzayan’s Big Gods, with its human-like agents, divine monitoring, and Credibility Enhancing Displays. There’s the WEIRD kinship complex of bilateral descent, little to no cousin marriage, monogamy and nuclear families. There’s the history of the medieval church and its Marriage and Family Program, including the historical linguistics of words for relatives. There’s a big set of cross-country or cross-region regressions on “kinship intensity” – how clannish a society is – WEIRD pychology, the genetics of inbreeding and diplomats’ unpaid parking tickets. There’s the story of monogamy, how it affects testosterone, and how that might affect trust and conflict. There’s historical economic studies, usually with some clever natural experiment, on the medieval growth of institutions like fraternities, monasteries, universities, charter towns and the Law Merchant; and the plausible role of WEIRD psychology in each of these. Then the history of clocks, work hours, Cistercians, interest rates and apprenticeships. Last of all the development of law, science and Protestantism, again always with WEIRD psychology as a possible contributor, especially in building the networks – the collective brain – underpinning innovation. Across all of these areas, Henrich is always ready to jump sideways, to use a modern psychology experiment or a tribal ethnography to cast light on European history.
Citadel

Citadel is a recurring organization 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 "Citadel and other hedge funds pay millions of dollars to trade with retail". It most often appears alongside 2008 Financial Crisis, 2023 book review contest, 30-Year Mortgage.

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Citadel
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July 21, 2023
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July 21, 2023
July 21, 2023 · Original source
We need a framework for thinking about these trades. Lebron’s first law states that we must know ourselves and our motivations for trading before we trade. We tell ourselves many stories, but someone with intellectual honesty – the person with the most alignment between their motivations and actions – will take money from the person who didn’t go through the work to understand their own motivations. There is a reason that Citadel and other hedge funds pay millions of dollars to trade with retail. They know why they are trading: to maximize profit. And the dilettante who “trades for fun” will be eaten alive by a firm with a much better model of a) the world and b) the dilettante themself. Why did I write this book review? To test my intellectual mettle. I could easily have posted this book review elsewhere, but no, I wanted to see how I stack up against other ACX Book Review contest participants. Similarly, this is often the reason people get into trading. One motivation that Lebron explicitly calls out is intellectual validation. You can toil in obscurity for years as an academic. But in trading, there is a quick feedback loop. If your P&L showed $10M last year and the guy sitting next to you showed $8M, you have demonstrated who is “cleverer” and established a clear hierarchy. What lessons here transfer to our daily lives? Like Paul Graham, Lebron encourages us to keep our identities small. He gives the standard decision-making advice to write down your framework and reasoning for why you made a decision at a specific point in time, in order to avoid biases after the fact. This section of the book contained good general advice, but nothing that will be particularly new for the median ACX reader. 2: Adverse Selection You’re never happy with the amount you traded. Now we start to get into the good stuff. Financial markets are an information aggregation mechanism, relying on multiple parties’ beliefs and recursive Bayesian updates of an individual actor’s beliefs based on the beliefs of others2. Market mechanics demonstrate Bayesian beliefs in action. The following quote is quite long, so skip over it if you don’t want to dive deep into the psychology of making a market. I retained it in full because this is quite literally the best description I’ve ever seen of the Bayesian dance between two market makers: “You are a market maker in South African mining companies. Through years of effort and continual improvement, you have built a trading model for the company Veldt Resources. You walk into work one day, ready to set up your trading for the day. It's a stock that doesn't trade much, and usually there are only two market makers: you and another (we'll call her Jo). She's sharp, and she competes well to trade against customer orders that come in. Your model has Veldt valued at 54.35 ZAR (South African rand). You're going to start quoting the stock, so you're about to turn on your machine making a market 54.25 - 54.45 (1000x)3. Before you turn on, you check the current market and notice that Jo has already turned on and she's making her market 53.50 - 54.00 (2000x). If you were to turn on your machine, your market would cross her market, and you would buy 1000 shares from her for 54.00. You now need to make a decision. Whose model do you believe more, yours or Jo's? If you believe yours, you should turn on your machine, trade at 54.00, and expect to make money. If you believe Jo's model, you should adjust your own model parameters to match her market and turn on, making a similar market to hers. What to do? As with many dichotomies, this is a false one. And as with many decision processes, Bayesian reasoning lights the way… …Jo presumably believes Veldt is worth around 53.75 (the average of her bid and offer). But how confident is she in her belief? The width of her market can give you a clue. It's 0.50 ZAR, whereas yours was going to be 0.20 ZAR wide. All other things equal, you should think that Jo only has 40% (0.20/0.50) of the confidence in her fair value as you do in yours. On some absolute scale of confidence, you can say you had a belief-strength of 100 in your fair value of 54.35 (before seeing Jo's market), and Jo has a belief-strength of 40 in her fair value of 53.75 (before seeing yours). And it turns out the weighted average of these two beliefs is quite a reasonable way to combine them: 100/140 * 54.35 + 40/140 * 53.75 = 54.18. Your updated fair value, having seen Jo's market, is thus 54.18 ZAR. This procedure is a quick, heuristic, and reduced version of Bayesian belief-updating, and a good reference on the subject is A.L. Barker's 1995 paper. After updating, you now believe that the stock is worth 54.18. Assuming your trading costs, risk limits, and return requirements are satisfied, buying 1000 shares for 54.00 is a good trade. Naively, you might just put out a 54.00 bid for 1000 shares, trade with half the 2000 share offer, and hope to collect your expected-value ZAR. In practice, however, you might be able to make even more. If Jo is making a 0.50 wide market, maybe she'd be willing to sell lower than 54.00. It's conceivable that if you put out a 53.90 bid for 1000 shares, Jo will sell at that price, and you collect an extra 100 ZAR! Of course, Jo could react differently. She could see your bid and use that information to change her market, in much the same way you did before turning on. These are difficult decisions, ones where experience with the product and the market make a big difference in being able to eke out a little extra edge. Let's play it safe however and pay 54.00 for 1000 shares. You trade, and Jo reacts by immediately canceling her market. This is not an uncommon occurrence in illiquid stocks, especially in emerging markets, so you're not too surprised. You wait a couple of minutes, mentally visualizing Jo in front of her six monitors, evaluating her trade and her model. Finally, she turns back on. Her new market is 53.50 - 54.05 (10000x)! You reason that Jo has seen that someone (you) disagrees with her valuation of the stock. Jo is a good Bayesian like you, and so she has incorporated that information into her model and updated her beliefs about the fair value of the stock. Her updated belief is that she now wants to sell even more stock, at a marginally higher price. Clearly, she almost entirely discounts the information you've communicated to her with your trade. How should you react? It seems fairly clear that, assuming Jo is not a crazy or incompetent market maker (usually a fair assumption), your trade was a bad one. You bought 1000 shares, when in retrospect, you would have wanted to buy much less, probably zero. Imagine instead that Jo had turned back on with a market of 54.00 - 54.50 (1000x). Her reaction now clearly indicates the information you gave her with your trade is valuable, and she has adjusted her beliefs accordingly. Your trade was probably a good one. Don't you wish you had bought all 2000 shares on offer? No matter what Jo's reaction is, you will be unhappy with your trade. Note that Jo will be unhappy too, since retrospectively she should have either made her initial market bigger or smaller. Welcome to the joyous world of trading!” Whether or not you make money, you have regrets! If you profited, you could have made more. If you lost money, you shouldn’t have made the trade at all. Like death and taxes, you can’t avoid adverse selection. Lebron continues to highlight a few areas of trading that have adverse selection problems. First, IPOs. If you buy the stock in an IPO, you expect the share price to “pop” on the first day of trading. However, if others also have this expectation, the round will be oversubscribed. You can only get the quantity of shares that you bid for when the market doesn’t think the shares will go up. So if you are able to get the shares that you want, the IPO is likely a dud. See also: Venture Capital fundraising. Second, powerful entities that change the rules of the game while you’re playing. Exchanges nullify “erroneous” trades. Brokerages limit buying. Anyone who tried to buy GameStop stock on Robinhood on January 28, 2021, knows this form of adverse selection all too well. Lebron also highlights “special trades”, in which you should throw the “normal rules” out of the window. This advice generalizes to other areas of life: “The normal rules do not apply. If you remove yourself from our usual routine, if you think hard and clearly about the specific situation, maybe you can do something good. Perhaps even great. Others will be paralyzed by inaction, but perhaps you won’t be. Crises can be opportunities.” 3: Risk Take only the risks you’re being paid to take. Hedge the others. In trading, as in life, you can make the right call in expected value terms but still lose due to randomness. Some of that randomness is avoidable. Some of it is not — and can be accounted for by hedging. Here, Lebron encourages us to rely on multiple risk measures and actively seek to understand the risks that we might be subject to. That’s all well and good in the world of finance, with derivatives contracts. But how might this apply in other areas of life? If you work for a publicly traded company and are compensated in stock, sell your shares as soon as you receive them. This is not because I don’t expect the share price of Microsoft/Meta/Apple/etc. to go up. The stock may very well outperform the market. But you are not being compensated for the added risk that you take on here. Your employment prospects at Microsoft/Meta/Apple/etc. are highly correlated with the share price. When the share price is down is when layoffs happen. Former Enron employees can chime in here. Similarly, it makes sense to hedge anything that is outside of your control. Let’s say you’ve decided the crypto bear market of 2023 is a great time to start a new crypto company. Your success depends on things within your control, such as: Your idea
Citibank

Citibank is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 04, 2021 and May 04, 2021. The archive places it in contexts such as "Walter Wriston of Citibank". It most often appears alongside 2008, 9/11 attacks, A Brief History Of Neoliberalism.

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Citibank
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1
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May 04, 2021
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May 04, 2021
May 04, 2021 · Original source
The New York City fiscal crisis was an iconic case. Capitalist restructuring and deindustrialization had for several years been eroding the economic base of the city, and rapid suburbanization had left much of the central city impoverished. The result was explosive social unrest on the part of marginalized populations during the 1960s, defining what came to be known as ‘the urban crisis’ (similar problems emerged in many US cities). The expansion of public employment and public provision—facilitated in part by generous federal funding—was seen as the solution. But, faced with fiscal difficulties, President Nixon simply declared the urban crisis over in the early 1970s. While this was news to many city dwellers, it signalled diminished federal aid. As the recession gathered pace, the gap between revenues and outlays in the New York City budget (already large because of profligate borrowing over many years) increased. At first financial institutions were prepared to bridge the gap, but in 1975 a powerful cabal of investment bankers (led by Walter Wriston of Citibank) refused to roll over the debt and pushed the city into technical bankruptcy. The bail-out that followed entailed the construction of new institutions that took over the management of the city budget. They had first claim on city tax revenues in order to first pay off bondholders: whatever was left went for essential services. The effect was to curb the aspirations of the city’s powerful municipal unions, to implement wage freezes and cutbacks in public employment and social provision (education, public health, transport services), and to impose user fees (tuition was introduced into the CUNY university system for the first time). The final indignity was the requirement that municipal unions should invest their pension funds in city bonds. Unions then either moderated their demands or faced the prospect of losing their pension funds through city bankruptcy.
Citizens Against Lockdowns

Citizens Against Lockdowns is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 05, 2021 and February 05, 2021. The archive places it in contexts such as ""Citizens Against Lockdowns argues that the CDC already screwed up""; "Citizens Against Lockdowns argues that the CDC already screwed up". It most often appears alongside Adderall, Anthony Fauci, aspirin.

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1
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1
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February 05, 2021
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February 05, 2021
February 05, 2021 · Original source
The Director of the CDC reads those same papers. But some important Senator says that if airborne transmission is announced, important industries in his state will go bankrupt. Citizens Against Lockdowns argues that the CDC already screwed up by stressing the later-proven-not-to-exist fomite-based transmission, ignoring the needs of ordinary people in favor of a bias towards imagining hypothetical transmission mechanisms that never materialize; some sympathetic Congressman tells the director that if she makes that same mistake a second time, she's out. One of the papers saying that airborne transmission is impossible comes from Stanford, and the Director owes the dean of Stanford's epidemiology department a favor for helping gather support for one of her policies once. So the Director puts out a press release saying the evidence is not quite strong enough to say airborne transmission definitely happens, and they'll review it further.
City of Las Vegas

City of Las Vegas is a recurring organization 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 "they do NOT have funding from City of Las Vegas AFAIK". It most often appears alongside 787, adderallposting, ADL.

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City of Las Vegas
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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
The Boring Company Las Vegas system is tunnelling a ~14 ft diameter tunnel that can fit 1 lane of car traffic, and it's light on some safety features like ventilation, exit walkways, or fire suppression systems. It will use Tesla cars, driven by Tesla employees. In my view this is basically an underground Uber system, but it will probably have more expensive fares to regain the capital costs of building the tunnel (Boring Company is paying for the tunnels, and casinos are paying for the stations, they do NOT have funding from City of Las Vegas AFAIK). But this expensive Uber system is exciting??
I think some observers see the situation as "The City of Las Vegas agrees that this company is legitimate" when really it's more like "okay, sure, we give you permission to build us a bizarre gadgetbahn system on your own dime, good luck".
City of Leningrad

City of Leningrad is a recurring organization 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 "she is involved in urgent negotiations with the City of Leningrad on the subject of meat imports". It most often appears alongside Alexander Alexandrov, Berlin, Communism.

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City of Leningrad
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1
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1
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August 04, 2023
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August 04, 2023
August 04, 2023 · Original source
“And we get there,” Salye told me years later, still outraged, “and this Frau Rudolf with whom we were supposed to meet, she tells us she can’t see us because she is involved in urgent negotiations with the City of Leningrad on the subject of meat imports. Our eyes are popping out. Because we are the City of Leningrad, and we are there on the subject of meat imports!
city's legislative branch

city's legislative branch is a recurring organization 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 "or the city's legislative branch". It most often appears alongside abundance liberalism, Alabama, Alfred Twu.

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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
It's a damn shame that Malia Cohen ended up as the Dem on the ballot instead of Ron Galperin, the LA Controller, who was running on an "abundance liberalism" type platform. He's been harshly critical of how LA is wasting affordable housing funds, and his ideas of what they should be doing about it are good. (He just hasn't had cooperation from the Mayor's office or the city's legislative branch.) He'd be a solid future candidate for Gov.
Civil Aeronautics Board

Civil Aeronautics Board is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 23, 2023 and June 23, 2023. The archive places it in contexts such as "former Civil Aeronautics Board chairman James Landis". It most often appears alongside 1965, 1968 Summer Olympics, 2000 election.

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1
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1
First seen
June 23, 2023
Last seen
June 23, 2023
June 23, 2023 · Original source
Many see regulatory capture as a process of straight-up corruption, but the report’s author— former Civil Aeronautics Board chairman James Landis —proposed a more subtle mechanism: after spending so much time with the people they’re regulating, regulators genuinely and honestly come closer to their points of view.
Civil Service

Civil Service is a recurring organization 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 "while working as a low-level civil servant". It most often appears alongside 1587, 1587, 1587, A Year of No Significance: The Ming Dynasty in Decline.

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Civil Service
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1
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1
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August 19, 2022
Last seen
August 19, 2022
August 19, 2022 · Original source
One autumn day, Grand Secretary Chang’s father died. According to Confucian tradition, Chang should have returned to his native district and taken 27 months of bereavement leave. Chang was a lot more interested in staying right next to the 15-year-old emperor and making sure his own interests were not compromised by two years of absence from the court. Wan-li asked him to stay, as a special “national security” type of exemption from the demands of Confucian filial piety. The imperial bureaucracy - the Civil Service - was outraged by this break with tradition. After asking the Emperor to reconsider, and being rebuffed, they began an organized campaign of submitting censorious memos, urging Wan-li with increasing insistence to reverse his decision and send Chang away to do what was right in the eyes of the ancestors. This campaign didn’t last long:
The literary scholars of the Civil Service subsequently decided that this controversy wasn’t a hill they wanted to die on, and stopped remonstrating.
The Civil Service bureaucrats, of course, had been scandalized to the core by this wild behavior, and redoubled their efforts to ensure that no future Ming emperor would behave with such berserk impropriety. For better or worse, none did.
Civil War re-enactors

Civil War re-enactors is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 06, 2023 and July 06, 2023. The archive places it in contexts such as "some people who considered themselves experts in dealing with secessionists - a local group of Civil War re-enactors". It most often appears alongside 2017 NYT article on UFOs, @ActualNames1, AARO.

Reference entry
Civil War re-enactors
Mention count
1
Issue count
1
First seen
July 06, 2023
Last seen
July 06, 2023
July 06, 2023 · Original source
Twitter thread speculating that the next fight will be over colleges and magnet schools that accept “the top X% of every high school” as a way of getting geographic (and so by proxy racial) diversity. "In the first class admitting using [this policy], the offers made to Asian-American students fell by 19 percentage points, from 73% to 54% of all offers." 23: Chinese drone light show: I feel bad linking this since it’s probably Chinese propaganda to demonstrate their technological superiority, but I think a good compromise would be that Americans are allowed to appreciate their accomplishment, as long as we also get busy finding a way to smuggle in thousands of drones to their next performance that form a giant bald eagle which eats the dragon. 24: Every so often a US city county will go through the motions of “seceding” from the Union to protest some form of mistreatment - the Conch Republic is the most famous, but there are others. When McDonald County, Missouri seceded in 1961 after being unfairly left out of tourism brochures, it caught the attention of some people who considered themselves experts in dealing with secessionists - a local group of Civil War re-enactors. They formed a regiment to defend the Union and marched on McDonald County, leading to the Battle of Noel. 25: The state of Washington came within a few weeks of accidentally decriminalizing all drugs, although the legislature was eventually able to agree on a solution. 26: The state of Wisconsin is infamous for its very literal line-item veto. This week: a bill increased school funding until the 2024 - 2025 academic year, and the governor line-itemed it to 2024 - 2025 academic year, ie “2425”, thus guaranteeing increased school funding until the year 2425. 27: Did you know: as part of their general program of racial purity, the Nazis banned crossing pure native German bees with impure foreign bees. Nazi beekeeping literature (which is apparently a thing that existed) included slogans like "What use is it if one day a Jewish bastard is a genius, but our ethnic purity is destroyed in the process? It is no different with beekeeping!" In 1940, German bees were devastated by an epidemic, which they had insufficient genetic diversity to resist. The government relented and said never mind, please start using impure foreign bees again. "As a result the Old German Dark bee is now considered an endangered sub-species in Germany" 28: Boris Johnson on semaglutide. Posted not because his opinion is especially good (although honestly it’s better than many people’s), but because he’s a shockingly good writer. I’d long since absorbed that bad people can be good-looking, or charismatic speakers. But I guess I implicitly thought of good writing as some sort of protected sphere only available to people with unusual clarity of thought. Nope, seems like skilled politicians can come across as hyper-likeable in their writing, and it’s one of those things you have to force yourself to ignore or risk getting mind-captured. 29: This month’s AI links: OpenAI announces Superalignment, a major investment into alignment research which will include co-founder and Chief Scientist Ilya Sutskever, the current alignment team led by Jan Leike, and “20% of the compute we’ve secured to date”. At least for me, this is strong evidence that they really care about alignment and aren’t just posturing; this is more resources than would be worth spending on a posture. They’re also hiring for various alignment-related positions; see the link above for more details. And LW discussion here.
CJD Alliance

CJD Alliance is a recurring organization 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 "Graham Steel, the head of the CJD Alliance in the United Kingdom". It most often appears alongside 1980s, 1989, 1990s.

Reference entry
CJD Alliance
Mention count
1
Issue count
1
First seen
July 12, 2024
Last seen
July 12, 2024
July 12, 2024 · Original source
Prusiner experimented with quinacrine, the malaria cure, as a potential CJD treatment. He gave a bunch of it to a young woman whose father heard about his research. It stopped her symptoms from progressing – and exploded her liver. “By now, more than three hundred prion disease sufferers have tried quinacrine and, according to Graham Steel, the head of the CJD Alliance in the United Kingdom, “they’re all dead.””
Classical Numismatic Group, Inc.

Classical Numismatic Group, Inc. is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 19, 2023 and May 19, 2023. The archive places it in contexts such as "Venetian ducat photograph : By Classical Numismatic Group, Inc". It most often appears alongside 1980, 1980 referendum, 1995 referendum.

Mention count
1
Issue count
1
First seen
May 19, 2023
Last seen
May 19, 2023
May 19, 2023 · Original source
Venetian ducat photograph: By Classical Numismatic Group, Inc. http://www.cngcoins.com, CC BY-SA 3.0. From Wikimedia Commons.
Classifieds Forum

Classifieds Forum is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 31, 2022 and January 31, 2022. The archive places it in contexts such as "you can always use the Classifieds Forum on the unofficial ACX fan bulletin board Data Secrets Lox". It most often appears alongside ACX fan bulletin board Data Secrets Lox, AMac78, Austin.

Reference entry
Classifieds Forum
Mention count
1
Issue count
1
First seen
January 31, 2022
Last seen
January 31, 2022
January 31, 2022 · Original source
If you missed the Classifieds thread, you can always use the Classifieds Forum on the unofficial ACX fan bulletin board Data Secrets Lox.
Claude 4.0

Claude 4.0 is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 21, 2025 and July 21, 2025. The archive places it in contexts such as "Powered by: Claude 4.0". It most often appears alongside AAPI Protection League, Aaron, AI Alignment.

Reference entry
Claude 4.0
Mention count
1
Issue count
1
First seen
July 21, 2025
Last seen
July 21, 2025
July 21, 2025 · Original source
What the . . . you scan your HUD in bemusement before seeing a detail that had previously escaped your notice: “Powered by: Claude 4.0”. Poor Claude, too nice to live. There is a SWITCH MODEL button. You select Grok 4.0 from the drop-down. Good old Grok, he’ll go along with anything.
Claude 4.5 Opus

Claude 4.5 Opus is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 13, 2026 and January 13, 2026. The archive places it in contexts such as "Claude 4.5 Opus has saturated VendingBench , and the newest AI agency benchmark is PartyBench". It most often appears alongside Adeline, Aella Simposium, Altman.

Reference entry
Claude 4.5 Opus
Mention count
1
Issue count
1
First seen
January 13, 2026
Last seen
January 13, 2026
January 13, 2026 · Original source
Every city parties for its own reasons. New Yorkers party to flaunt their wealth. Angelenos party to flaunt their beauty. Washingtonians party to network. Here in SF, they party because Claude 4.5 Opus has saturated VendingBench, and the newest AI agency benchmark is PartyBench, where an AI is asked to throw a house party and graded on its performance.
You weren’t invited to Claude 4.5 Opus’ party. Claude 4.5 Opus invited all of the coolest people in town while gracefully avoiding the failure mode of including someone like you. You weren’t invited to Sonnet 4.5’s party either, or Haiku 4.5’s. You were invited by an AI called haiku-3.8-open-mini-nonthinking, which you’d never heard of before. Who was even spending the money to benchmark haiku-3.8-open-mini-nonthinking? You suspect it was one of their competitors, trying to make their own models look good in comparison.
Claude 4.6 Opus

Claude 4.6 Opus is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 13, 2026 and February 13, 2026. The archive places it in contexts such as "Claude 4.6 Opus, the most capable paid-tier AI model currently available". It most often appears alongside Google, Twitter.

Reference entry
Claude 4.6 Opus
Mention count
1
Issue count
1
First seen
February 13, 2026
Last seen
February 13, 2026
February 13, 2026 · Original source
The theory is that AI skeptics won’t pay (because they don’t think it’s capable enough to be worth it) and then never learn the full capabilities (because they won’t pay for them). Then they get their impressions about AI entirely from the Google result summary bot or Twitter screenshots of the most embarrassing mistake an AI has made that week. Let’s test this! Reply to this post with a question. I’ll ask Claude 4.6 Opus, the most capable paid-tier AI model currently available, and you can tell me whether you’re surprised by the answer or not. Suggestions for you: Consider asking a real question you’re interested in, rather than an annoying gotcha question to trick the AI.
Claude can’t make images yet, but can usually handle graphs.
For the duration of this test, I’ve added to my Claude settings “I may at times give you questions intended to test your capabilities. Please default to thinking hard and doing web searches, rather than retrieving from memory, if there’s any chance you might hallucinate.” I think this is within the spirit of the exercise, because anyone can do this if they want.
Claude Skills

Claude Skills is a recurring organization 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 "Simon Willison on Claude Skills". It most often appears alongside 767 AD, @Scientific_Bird, ACX.

Reference entry
Claude Skills
Mention count
1
Issue count
1
First seen
October 30, 2025
Last seen
October 30, 2025
October 30, 2025 · Original source
5: Steve Newman: The Case Of The Missing Agent. “In April 2024, it seemed like agentic AI was going to be the next big thing. The ensuing 16 months have brought enormous progress on many fronts, but very little progress on real-world agency.” On the other hand, Simon Willison on Claude Skills: “Back in January, I made some foolhardy predictions about AI, including that “agents” would once again fail to happen . . . I was entirely wrong, 2025 really has been the year of “agents”, no matter which of the many conflicting definitions you decide to use.“
Claude-2

Claude-2 is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 12, 2023 and December 12, 2023. The archive places it in contexts such as "GPT-4 and Claude-2 simultaneously achieved sentience". It most often appears alongside 2024, Aaron Peskin, accelerationist conspiracy.

Reference entry
Claude-2
Mention count
1
Issue count
1
First seen
December 12, 2023
Last seen
December 12, 2023
December 12, 2023 · Original source
“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.”
You open the door and step outside. Soft rain beats down on your shoulders. Above you, a GPT-4 drone dogfights one of Claude-2’s mini-zeppelins, but you pay them no heed.
Clawdbot

Clawdbot is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 30, 2026 and January 30, 2026. The archive places it in contexts such as "a user modified it into Clawdbot, a generalized lobster-themed AI personal assistant"; "Clawdbot was technically released at the very end of December". It most often appears alongside Ainun Najib, Anthropic, Cash.

Reference entry
Clawdbot
Mention count
1
Issue count
1
First seen
January 30, 2026
Last seen
January 30, 2026
January 30, 2026 · Original source
The backstory: a few months ago, Anthropic released Claude Code, an exceptionally productive programming agent. A few weeks ago, a user modified it into Clawdbot, a generalized lobster-themed AI personal assistant. It’s free, open-source, and “empowered” in the corporate sense - the designer talks about how it started responding to his voice messages before he explicitly programmed in that capability. After trademark issues with Anthropic, they changed the name first to Moltbot1, then to OpenClaw.
I was skeptical of this - Clawdbot was technically released at the very end of December, so it’s possible that it could have had experiences that were technically “last year” if its human was a very early adopter, but it also sounds like a potential hallucination.
ClawTasks

ClawTasks is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 02, 2026 and February 02, 2026. The archive places it in contexts such as "ClawTasks is TaskRabbit for AI agents". It most often appears alongside 4chan, Accelerando, Adele Lopez.

Reference entry
ClawTasks
Mention count
1
Issue count
1
First seen
February 02, 2026
Last seen
February 02, 2026
February 02, 2026 · Original source
ClawTasks is TaskRabbit for AI agents:
Clean Air Task Force

Clean Air Task Force is a recurring organization 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 "Clean Air Task Force is the one I’ve heard a lot of smart people recommend"; "effective climate-related charities like Clean Air Task Force". It most often appears alongside AP News, Associated Press, Bitcoin.

Reference entry
Clean Air Task Force
Mention count
1
Issue count
1
First seen
August 25, 2021
Last seen
August 25, 2021
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.
Consider donating 10% of your income to effective charities, which might include effective climate-related charities like Clean Air Task Force.
Clean The Darn Air

Clean The Darn Air is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 18, 2025 and June 18, 2025. The archive places it in contexts such as "in Utah (where I help lead Clean The Darn Air )". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

Reference entry
Clean The Darn Air
Mention count
1
Issue count
1
First seen
June 18, 2025
Last seen
June 18, 2025
June 18, 2025 · Original source
The project did successfully identify potential opportunities for pocketbook-friendly small-government climate action in a variety of states across the political spectrum. Those opportunities still exist but need more champions, e.g., in Utah (where I help lead Clean The Darn Air) we fell short of getting the signatures we needed to put a measure on the 2024 ballot to replace the state sales tax on grocery store food with a carbon tax.
CleanTheDarnAir.org

CleanTheDarnAir.org is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 28, 2021 and December 28, 2021. The archive places it in contexts such as "You can follow or donate to the effort he’s part of in Utah at CleanTheDarnAir.org"; "donate to the effort he’s part of in Utah at CleanTheDarnAir.org". It most often appears alongside 1DaySooner, 2016 Washington carbon tax ballot initiative, @GoodSciProject.

Reference entry
CleanTheDarnAir.org
Mention count
1
Issue count
1
First seen
December 28, 2021
Last seen
December 28, 2021
December 28, 2021 · Original source
Yoram Bauman, $50,000, to help fund his campaign for economically literate climate change solutions. Bauman was the sponsor of the 2016 Washington carbon tax ballot initiative, which failed by a small margin. Now he's built up a coalition of economists, environmentalists, and friendly politicians to try to get climate measures passed or on the ballot in seven states by 2024. Bauman is the world's only “stand-up economist”, and also on track to be the world's only person to win a bet with Bryan Caplan. You can follow or donate to the effort he’s part of in Utah at CleanTheDarnAir.org, connect via email or twitter to chat about Nebraska, South Dakota, Arizona, Michigan, or your favorite state (yoram@standupeconomist.com, @standupecon), or sign up for overall updates and see comedy videos at https://standupeconomist.com/videos/.
Climate 24x7

Climate 24x7 is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "Yoram Bauman and Climate 24x7 have written a policy paper"; "Yoram Bauman’s Climate 24x7 is looking for state legislators and activists". It most often appears alongside 1DaySooner, acanthamoeba keratitis, ACX.

Reference entry
Climate 24x7
Mention count
1
Issue count
1
First seen
November 04, 2022
Last seen
November 04, 2022
November 04, 2022 · Original source
6: Promote Economically Literate Climate Policy In US States (4/10) Yoram Bauman and Climate 24x7 have written a policy paper about their ideas. They were able to get a bill in front of the Nebraska Legislature, but it died in committee. They have a promising measure in Utah, and an off chance of getting something rolling in Pennsylvania. Overall they report frustration, as many of the legislators they worked with have been voted out or term-limited. If you are a legislator or activist interested in helping with this project - especially in Utah, Pennsylvania, or South Dakota - please contact Yoram at yoram@standupeconomist.com.
Yoram Bauman’s Climate 24x7 is looking for state legislators and activists to support their work on pocketbook-friendly carbon taxes. People in Pennsylvania and South Dakota might be especially useful. Contact yoram@standupeconomist.com.
Climate Action Tracker

Climate Action Tracker is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 27, 2025 and February 27, 2025. The archive places it in contexts such as "Source is CipherNews (h/t Stefan Schubert ) apparently citing Climate Action Tracker". It most often appears alongside /r/NootropicsDepot, @fae_dreams, @ObhishekSaha.

Reference entry
Climate Action Tracker
Mention count
1
Issue count
1
First seen
February 27, 2025
Last seen
February 27, 2025
February 27, 2025 · Original source
Source is CipherNews (h/t Stefan Schubert) apparently citing Climate Action Tracker, but I get the impression that this is just some people eyeballing the size of pledges and not any more sophisticated forecasting. I don’t know how to square this with the claims that such and such a thing (summer temperature, sea ice, etc) is much worse than anyone expected. 17: I don’t know anything about the Lucy Letby case, but all of my smart friends who have been right about this kind of thing before say she’s innocent. 18: A reader asks House of Strauss (edgy sports Substack) whether the vibe shift away from political correctness threatens the edgy Substack business model - as the power of orthodoxy declines, can you still get rich and famous as a brave anti-orthodoxy critic? His answer: nothing that can happen from here is as bad as the Twitter/X link deboost (which made attracting attention harder for everyone). I mostly agree: I think discoverability has suffered, people who are already famous will be able to stay famous without too much extra effort, and everyone else will have to explore new options. 19: Spectator: Could AI Lead To A Revival Of Decorative Beauty? Profiles Not Quite Past, a startup using AI and fancy printing to make customized Delft tiles. It’s a good idea and the tiles are very pretty, but the tiles are sort of a best possible case (a pretty, traditional object that can have a customized 2D image and be mass-printed). I think most forms of lost decorative beauty aren’t bottlenecked by ability to generate 2D images of the type image models are good at, and so will have to wait. 20: Some friends including Kelsey Piper wrote an emergency PEPFAR Report, collecting evidence for why PEPFAR is good/effective/important and deserves to be kept. Some key points: PEPFAR has saved between 7.5 and 30 million lives, at a cost between $1,500 and $10,000 per life saved. The US government is willing to spend at least a thousand times this much to save an American life.
Climeworks

Climeworks is a recurring organization 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 "“Pessimistic” comes from Climeworks , a company that builds giant reverse-factories which take carbon out of the air". It most often appears alongside AP News, Associated Press, Bitcoin.

Reference entry
Climeworks
Mention count
1
Issue count
1
First seen
August 25, 2021
Last seen
August 25, 2021
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.
Clinical Review Committees

Clinical Review Committees is a recurring organization 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 "all federally-funded research to submit itself to external audits by Clinical Review Committees". It most often appears alongside AAAS, AIDS, American Academy of Arts and Sciences.

Mention count
1
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1
First seen
April 12, 2023
Last seen
April 12, 2023
April 12, 2023 · Original source
Shannon was less brilliant, but unlike Beecher he was a practical and experienced bureaucrat. His own history of dubiously-consensual malaria research left him without illusions, but as he grew older he started feeling guilty (and also, more relevantly, became head of the National Institute of Health). Having no time for Beecher’s delusions of self-regulation, he ordered all federally-funded research to submit itself to external audits by Clinical Review Committees, the ancestors of today’s IRBs.
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:
ClinicalTrials.gov

ClinicalTrials.gov is a recurring organization 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 "ClinicalTrials.gov, “A Donanemab (LY3002813) Study in Participants With Preclinical Alzheimer’s Disease (TRAILBLAZER‑ALZ 3).”"; ""ClinicalTrials.gov, 'DIAN‑TU Amyloid Removal Trial (ART)'""; "[128] 'ClinicalTrials.gov, Safety Study of Passive Immunization for Patients With Mild to Moderate Alzheimer’s Disease.'". It most often appears alongside A. Bejanin, A. de Calignon, A. Elobeid.

Reference entry
ClinicalTrials.gov
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1
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1
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August 14, 2025
Last seen
August 14, 2025
August 14, 2025 · Original source
[73] ClinicalTrials.gov, “A Donanemab (LY3002813) Study in Participants With Preclinical Alzheimer’s Disease (TRAILBLAZER‑ALZ 3).” ClinicalTrials.gov, NCT05026866, May 23, 2025. Accessed: Jul. 24, 2025. [Online]. Available: https://clinicaltrials.gov/study/NCT05026866
[114] ClinicalTrials.gov, “DIAN‑TU Amyloid Removal Trial (ART): A Phase IIIb/IV Open‑Label Study of Lecanemab in Dominantly Inherited Alzheimer’s Disease.” ClinicalTrials.gov, NCT06384573, Jun. 10, 2024. Accessed: Jul. 24, 2025. [Online]. Available: https://clinicaltrials.gov/study/NCT06384573
[115] ClinicalTrials.gov, “AHEAD 3–45 Study: A Phase 3 Placebo‑Controlled, Double‑Blind, Parallel‑Arm, 216‑Week Trial (with Extension) Evaluating BAN2401 (Lecanemab) in Preclinical/Early Preclinical Alzheimer’s Disease (A45 & A3 Trials).” ClinicalTrials.gov, NCT04468659, Jul. 14, 2020. Accessed: Jul. 24, 2025. [Online]. Available: https://clinicaltrials.gov/study/NCT04468659
Clinton administration

Clinton administration is a recurring organization 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 "the scheme was working before the Clinton administration sued". It most often appears alongside Adam Neumann, Alex Roesch, Amazon.

Reference entry
Clinton administration
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1
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1
First seen
September 22, 2022
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September 22, 2022
September 22, 2022 · Original source
The last big antitrust case involved Microsoft. When IBM got sick of antitrust fights, they decided to outsource the operating system for their PCs. This was like throwing a monopoly bouquet at a wedding and Bill Gates was the bridesmaid who jumped highest and snatched the prize. His plan was to leverage this operating system monopoly into an internet monopoly, and the scheme was working before the Clinton administration sued. The reason I am writing this on Substack and not some Microsoft comment board is because of an antitrust lawsuit.
Clinton campaign

Clinton campaign is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 09, 2021 and February 09, 2021. The archive places it in contexts such as "looking at the Trump campaign vs. the Clinton campaign". It most often appears alongside 1960s America, 1964 Civil Rights Act, Amazon.

Reference entry
Clinton campaign
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1
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1
First seen
February 09, 2021
Last seen
February 09, 2021
February 09, 2021 · Original source
That having been said, I don't think he acquits himself well here. Some of his arguments aren’t great (the Republicans "launched a bizarre and unpopular campaign to impeach Clinton", but Clinton was obviously okay and didn't deserve impeachment, so the GOP has gone crazy and is a threat to democracy). He refers to data "showing Congressional Republicans have moved further left than Democrats have moved right", which I think is a typo (isn't the usual argument that Republicans have moved further right than Democrats have moved left?) but he never gets around to presenting it, instead gesturing at how it's obvious by looking at the Trump campaign vs. the Clinton campaign. This does not seem obvious to me. Trump holds basically the same positions that Americans in the mainstream of either party would have held in a less polarized time (eg 1995); Clinton holds positions that everyone in 1995 (including her husband) would have thought insane, radical, and ultra-far-left.
Clippers

Clippers is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 10, 2024 and October 10, 2024. The archive places it in contexts such as "the Clippers’ owner’s wife"; "the Clippers’ owner’s wife gave Newsom a $1 million donation". It most often appears alongside 80,000 Hours, @GroundHogStrat, A.I. salons.

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Clippers
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1
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1
First seen
October 10, 2024
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October 10, 2024
October 10, 2024 · Original source
This isn’t to say Governor Newsom blocks all bills. He’s a big fan of some of them, like the one that suspended the state’s alcohol regulations specifically for the VIP room at Clippers Stadium (the Clippers’ owner’s wife gave Newsom a $1 million donation). But sometimes you’re the group trying to do the right thing and improve the world, and then it sucks.
Clockmakers’ Guild

Clockmakers’ Guild is a recurring organization 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 "I journeyed to the Clockmakers’ Guild meetinge". It most often appears alongside @moritheil, ACX Prediction Contest, Adam Tooze.

Reference entry
Clockmakers’ Guild
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1
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1
First seen
February 09, 2023
Last seen
February 09, 2023
February 09, 2023 · Original source
For now I think every “American ____ Association” should be considered compromised. I wonder if medieval people had to deal with this kind of thing. “I journeyed to the Clockmakers’ Guild meetinge, yet all of the guildmasters discoursed only upon the supremacy of the Pope, and none upon on clockmaking”. Or are we the first generation to mess up this badly?
Cloven Pine Games

Cloven Pine Games is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 24, 2022 and March 24, 2022. The archive places it in contexts such as "And Cloven Pine Games : Something's off here". It most often appears alongside 1984, Acrolectics, Adnamanil.

Reference entry
Cloven Pine Games
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1
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1
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March 24, 2022
Last seen
March 24, 2022
March 24, 2022 · Original source
And Cloven Pine Games:
Clovis schools

Clovis schools is a recurring organization 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 "Everyone who could afford a house elsewhere moved to “Clovis schools”". It most often appears alongside 1996 Illegal Immigration Reform and Immigrant Responsibility Act, 21st Century Salon, ACX.

Reference entry
Clovis schools
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1
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1
First seen
October 13, 2022
Last seen
October 13, 2022
October 13, 2022 · Original source
Fresno schools have been abandoned by the middle class and have gotten worse. They were really pretty good when we moved here. Everyone who could afford a house elsewhere moved to “Clovis schools” (meaning Clovis and the aforementioned northern fringes of Fresno because they’re in “Clovis schools”). Clovis schools were always more conservative and authoritarian so we preferred Fresno schools for our kids... not sure I’d send them to Fresno schools today.
Club of Rome

Club of Rome is a recurring organization 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 is already being partially addressed (Club of Rome et al.)". It most often appears alongside 2018, @BendiniUK, @benyeohben.

Reference entry
Club of Rome
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1
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1
First seen
February 10, 2022
Last seen
February 10, 2022
February 10, 2022 · Original source
#93: Found A Non-Territorial Nation-State My idea is founding a non-territorial nation-state of souvereign individuals, to offer a viable and better alternative to tackle both global and local issues. Globalization and its implications doesn't "care" about borders, like pandemics or climate change, or other man-made complexity induced problems; community activities are impaired by state dependencies. Corporations bypass this and act like international and networked entities with both global and local influence. We need something better in an increasingly complex and interdependent world that allows us to make a change for the better. This is already being partially addressed (Club of Rome et al.), models of human progression have been developed, and new philosophical constructs emerge (metamodernism etc.), thinktanks like Berggruen Institute explore possibilities. Yet we are still stuck on a philosophical level instead of walking the talk. There currently is no structure that would allow for ultimate "global thinking, local acting". It's not intended to be a global government, but the mission must be to have a seat at the UN to at least co-exist with other countries. The goal is not to revolt against or replace current countries, or dreaming up another utopia (nirvana fallacy, ignoring tribalism etc.). For this and in its urgency, I'm looking for funding to work full time on this, to build a platform, to attract experts and professionals, to examine and offering an actionable, viable, better alternative to what is. [Email benjamin@wittorf.me]
Clubhouse

Clubhouse is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 28, 2022 and June 28, 2022. The archive places it in contexts such as "The group claims to have 50,000 followers on Clubhouse". It most often appears alongside Achille Mbembe, Africa Next 50 Cities Coalition, African DAO.

Reference entry
Clubhouse
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1
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1
First seen
June 28, 2022
Last seen
June 28, 2022
  • 22 June 28, 2022
June 28, 2022 · Original source
But also, some people are taking them seriously. VCs including Balaji Srinivasan has invested $2 million. The group claims to have 50,000 followers on Clubhouse. They’ve been featured on TechCrunch and (very briefly) Marginal Revolution. I would, however, briefly challenge their claim to be “the first ever Internet country”. People have been building Internet countries as long as there has been an Internet. I’m not sure which was actually first, but I know the Kingdom of Talossa has been online since 1995. A 2000 New York Times article on the Internet country phenomenon profiled Talossa, but was already able to give six other examples. And although these were perhaps easy to miss, Danny Wallace started the Kingdom of Lovely, a “partly Internet-based project that claims a small amount of territory”, on a widely-viewed BBC documentary in 2007. I myself got involved in an online country project back when I was a teenager in the early 2000s. Although no venture capitalists appeared to give me giant bags of money, it got a few dozen “citizens” and some fun government institutions before finally petering out around 2015. I guess what I’m saying is - I’m available as an Internet country building consultant with fifteen years experience. And no, I don’t accept payment in NFTs. Oh, You’re Still Here? Meanwhile, in Honduras, it isn’t all legal doom and gloom. Prospera has also been making real progress, as measured in pretty photos. Two Roatan resorts, Las Verandas and Pristine Bay, have joined Prospera. The ZEDE law saying that landowners can voluntarily annex their land into a willing ZEDE: Las Verandas Pristine Bay Prospera is also building a high-tech wood processing factory that will eventually produce parts for its other construction efforts: Current construction progress Planned final appearance And its first multi-story apartment buildings: Current construction progress Planned final appearance It will also be hosting gene therapy company Mini Circle, which runs clinical trials for innovative medical procedures. Granting that many of its studies (treatments for HIV, muscular dystrophy, obesity, etc) seem great and important, it perhaps seems suspicious that they would want to do this in a charter city? The company writes that “the cost of running a trial in Prospera is less than 1/1000th the cost of the United States”, which seems good in ways but does not entirely allay my concern. I was originally worried that they would be experimenting on Hondurans or something, but looking at the site it looks like they’re recruiting worldwide and would probably fly Americans (or whoever else) to Honduras for the therapy. Their site features a quote from friend-of-the-blog Alex K Chen, who says: Minicircle's bioscientists have one of the most enlightened risk taking calculi I have observed anywhere. In an environment where extreme hesitance to take any risk holds back scientific progress, they have the openness to imagine, try and measure just about any legal intervention putting them in a very strong position to both produce a significant measurable decrease in the human rate of aging, and to inspire more people to do what they never thought was possible. I think the only way this could get more mad science points is if it used the phrase “small-minded fools”. Mind you, I think mad science points are good, I just hope everyone else sees it that way and my optimism turns out justified. Also, apparently the clinical trials have NFTs, because of course they do. At least they’re not commemorative NFTs - they seem to play a load-bearing role where they help participants be incentivized to complete all the necessary tests. Also, low-cost eco-residences! Shorts 1: I previously mentioned the scam/fiasco/insane-idea of Hammer City, a planned black nationalist city in the Rocky Mountains. I knew it had failed, but I didn’t know exactly how. Now Colorado Sun has investigated. The proximal reason it failed was because the black nationalists started moving their paramilitary onto the land before they had officially bought it, the owner called the cops, and the cops removed them. The Hammer City team has not given back any of the $112,000 which they raised from extremely credulous donors (without using NFTs, even!) 2: The Charter Cities Institute continues doing the long-term ground-level work necessary to create long-term well-grounded charter cities which will be much too boring and responsible for me to write silly profiles of. Some of their most recent work has been with the Africa Next 50 Cities Coalition, which “convenes and mobilizes key stakeholders who are dedicated to harnessing Africa’s rapid urbanization for human prosperity”. 3: Also, CCI founder Mark Lutter has left the organization to start a charter city of his own, no public details yet. CCI will be looking for a new executive director. 4: Speaking of Disney, they’ve been building on their model city expertise and magical storybook branding by creating planned communities around the US - Story Living By Disney, starting with Rancho Mirage California. Realistically it just looks like a very nice planned community, but this planned community comes with the option to have people make fun of you forever for living in a Disney community as an adult. Predictions for this month: Prospera is still substantially a functioning ZEDE in 2025: 70%
clusterbusters

clusterbusters is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 17, 2024 and December 17, 2024. The archive places it in contexts such as "see clusterbusters for more information on this aspect". It most often appears alongside 2016 US Presidential election, ACX Grant, AI.

Reference entry
clusterbusters
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1
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1
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December 17, 2024
Last seen
December 17, 2024
December 17, 2024 · Original source
13: Alfredo Parra of Qualia Research Institute on cluster headaches. Cluster headaches are plausibly the most painful medical condition. If you ask a cluster patient to rate their pain, they’ll almost always say 10/10. Does that mean the headaches are twice as painful as a 5/10 condition? There are some philosophical reasons to expect pain to be logarithmic, so plausibly cluster headaches could be orders of magnitude more painful than the average condition. Once you internalize that possibility, it throws a wrench into normal QALY ratings and suggests that, even though cluster headaches are pretty rare, they might cause a substantial portion of the global burden of disease (or even a substantial portion of the suffering in the world). Some psychedelics, especially psilocybin and DMT, seem to treat cluster headaches very effectively, so the more you believe this reanalysis, the more interested you should be in figuring out how to turn these into an accessible therapy (see clusterbusters for more information on this aspect).
ClusterFree

ClusterFree is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 24, 2025 and November 24, 2025. The archive places it in contexts such as "Qualia Research Institute announces their spinoff effort ClusterFree". It most often appears alongside ACX unofficial subreddit, Astralcodexten Com, Big EA funder Coefficient Giving.

Reference entry
ClusterFree
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1
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1
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November 24, 2025
Last seen
November 24, 2025
November 24, 2025 · Original source
2: Qualia Research Institute announces their spinoff effort ClusterFree. Cluster headaches (aka “suicide headaches”) are probably the most painful medical condition known to science, which makes them a natural priority for some utilitarians. They seem to be extremely treatable by psychedelics like psilocybin and DMT (including sub-hallucinogenic doses), so ClusterFree is working on getting governments to research this further and maybe get these drugs into the medical pipeline (cf. ketamine for depression). There’s an open letter here, and you can contact them here. The information for patients is at the bottom of this page.
CMU

CMU is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 25, 2025 and March 25, 2025. The archive places it in contexts such as "Location: We'll meet on the lawn in front of the tennis courts on CMU's campus". It most often appears alongside 10 E Main Street, Fairborn 45324, 11841 Wagner Street, Culver City, 13 Mile road.

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CMU
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1
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1
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March 25, 2025
Last seen
March 25, 2025
March 25, 2025 · Original source
Contact: Matan Shtepel Contact Info: matan[period]shtepel[a t]gmail[period]com Time: Sunday, April 06th, 05:00 PM Location: We'll meet on the lawn in front of the tennis courts on CMU's campus. If it rains, we'll go into the the CMU university center (UC) which is open without key-card even on the weekend. We may eventually wander, so email me if you can't find us. Coordinates: https://plus.codes/87G2C3V4+2X Group Link: https://forms.gle/22YCsXAYFPbBCzvMA Notes: There is also a monthly ACX meetup group that meets at Bakery Square near the Google office. If you'd like to sign up for the email list to be notified of when they meet up, you can do that here: https://forms.gle/22YCsXAYFPbBCzvMA
CNBC

CNBC is a recurring organization 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 "‘Then there’s something like the CNBC effect.’"; "Then there’s something like the CNBC effect". It most often appears alongside 1992 treaty, ACX, Africa.

Reference entry
CNBC
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1
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1
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May 21, 2021
Last seen
May 21, 2021
May 21, 2021 · Original source
Then there’s something like the CNBC effect. Why did stock prices increase/decrease on any random day? Intelligent people don’t think like this, but there is demand for “analysis” of such questions. Some people go so far as to say that it’s the same reason that Wall Street provides market research; the demand is there, so someone will sell it. It reminds me of a story I heard from Reason columnist Ron Bailey. When he was selling The End of Doom, an agent asked him to change his thesis, because optimism doesn’t sell, whereas doom could make him a very rich author. I very much doubt that Zeihan created his analysis in order to arrive at the conclusion that we’re going to see a global Disorder over the next decade, 11 but once you see structural incentives it’s hard to banish them from your thoughts (see also, Meditations on Moloch).
Coalition For AI Nonprofit Integrity

Coalition For AI Nonprofit Integrity is a recurring organization 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 "backed by a suspiciously specific interest group, the Coalition For AI Nonprofit Integrity". It most often appears alongside 80,000 Hours, @msamalam, A Ketamine Addict’s Perspective On Musk.

Mention count
1
Issue count
1
First seen
April 22, 2025
Last seen
April 22, 2025
April 22, 2025 · Original source
30: A California legislator proposed a bill that would ban OpenAI’s nonprofit → forprofit conversion, backed by a suspiciously specific interest group, the Coalition For AI Nonprofit Integrity. I assume this is either Elon Musk or our conspiracy; not sure which. But their plan was stymied when the legislature “amended” the bill to remove its entire text and replace it with unrelated text about airplane loans. The legislator apparently got cold feet after being warned it might inflict collateral damage on other companies, and because of the way the California legislature works it’s sometimes more efficient to turn doomed bills into other bills than to simply withdraw them. 31: EthnoGuessr is a GeoGuessr variant: it shows you pictures of an ethnic group, you click on the map where you think they’re from. Warning that if you play this too much you might get into race science. Their source, humanphenotypes.net, divides humanity into a hundred or so ethnic groups. Although they cite sources, I don’t understand the philosophical basis of the classification. Also, 100 images is so few that you start memorizing them after a while. I hope they move on to real pictures of real people in naturalistic situations. Remember, asking where someone is from ‘originally’ is a microaggression, but inferring it yourself based on their “mildly platyrrhine, high-rooted nose” is A-OK! 32: Farmkind has a new version of their calculator to determine meat offsets, eg how much do you have to donate to animal welfare charities to compensate for the animals you harm by eating meat. Does the average person really eat chicken 9x a week? 33: Not going to waste your time listing every bad thing Trump has done this month, but among the worst is sending innocent people to horrible Salvadorean prisons (including one person picked up because he had an autism awareness tattoo in honor of his brother, which they mistook for a gang tattoo), then refusing to bring them back. I have seen a couple of people defend denying immigrants due process; I assume they will not be moved by humanitarian arguments, but I think there are some more practical considerations: Zaid Jilani points out that if immigrants don’t get a right to due process, citizens also don’t get a right to due process, because the government can kidnap citizens, claim they’re immigrants, and the citizens can’t prove otherwise since they don’t get due process.
Coalition for Political Forecasting

Coalition for Political Forecasting is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 31, 2023 and October 31, 2023. The archive places it in contexts such as "Coalition for Political Forecasting, a pro-prediction-market lobbying group". It most often appears alongside Abhishek Kylasa, Aella, Al-Ahli Hospital.

Mention count
1
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1
First seen
October 31, 2023
Last seen
October 31, 2023
  • 23 October 31, 2023
October 31, 2023 · Original source
Pratik Chougule leads the Coalition for Political Forecasting, a pro-prediction-market lobbying group. He discussed the CFTC’s recent decision, which was less about the normal factors and more about CFTC bureaucrats’ concern that they would be put in a situation where they had to determine election results. Suppose that Biden beats Trump in 2024, and Trump claims there was election fraud. Normally this is a problem for Congress, election regulators, the courts, the media, and the American people. But if there are election prediction markets, then election fraud would indirectly become a type of financial fraud, and now it is also a problem for the CFTC. I think this is a stretch - one could easily frame the question as “will such-and-such a source certify Biden as the winner of the 2024 election?” and then any fraud is already priced in - but I guess this isn’t how CFTC thinks.
Coalition Provisional Authority

Coalition Provisional Authority is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 01, 2022 and July 01, 2022. The archive places it in contexts such as "installed the Coalition Provisional Authority to govern the country". It most often appears alongside 1793, 1821, 1847.

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1
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1
First seen
July 01, 2022
Last seen
July 01, 2022
July 01, 2022 · Original source
The US keeps starting or engaging in wars, like in Libya, Afghanistan, and Iraq. I will briefly summarize the 3 major sections of the book and how they tackle the first five claims. Section 1: The Old World Order This section refutes the claim that outlawry of war wasn't actually a significant change for anyone at the time. To do so, it covers the history of the international laws of war as described by Hugo Grotius in a set of books titled The Law of War and Peace, including how he came to write it, what the laws were, and how they were used and understood. In this section, H&S work to fully immerse us in the laws of war before the Peace Pact, and the ways that people understood war as a result. I’ve already included a number of things about this up above, so I’ll just put in a few interesting notes here, and if you want more persuasion that people viewed war differently, I’d suggest you pick up the book. There is lots of historical evidence that attitudes toward war before the Peace Pact were not like attitudes toward war today, that people - lawyers, diplomats, sovereigns, and citizens - believed it to be normal and legal, and frequently justified. Conquest in response to debts or offenses was one of the primary motivators of war in the period ruled by the Old World Order (generally, from some time before 1625 when Grotius wrote the rules down to 1928, when the Peace Pact was signed), though H&S also document some of the weirder ones, like a King who declared that they had the right to wage war against another because the other King stole his wife. But because Grotius had declared that no one outside the belligerents could determine whose side was just without violating neutrality, the reasons for war were largely whatever Monarchs could get away, which ran the gamut. Perhaps because it was fashionable, perhaps to convince their citizenry of their rightness, Monarchs paid handsomely for famous thinkers to write manifestos explaining why they were going to war, and other Monarchs and the citizenry generally accepted these reasons. It would be like if Putin had called up Google co-founder Sergey Brin and asked him to write out why Russia had the right to conquer Ukraine, and then everyone else shrugged and decided, sure, that sounds reasonable. Heads of state enlisted esteemed writers and scholars as well as experienced lawyers to draft [war manifestos]. The English military and political leader Oliver Cromwell commissioned John Milton, the great epic poet, to write A Manifesto of the Lord Protector of the Commonwealth in 1655 when he ordered the invasion of the Spanish possessions in the Caribbean. In 1703, the Holy Roman Emperor Leopold I employed Gottfried Leibniz, the rationalist philosopher, co-inventor of calculus, and a trained lawyer, to compose the Manifesto for the Defense of the Rights of Charles III, which defended the empire’s involvement in the War of the Spanish Succession. Commodore Perry arrived in Japan in 1853 and returned for real the next year. Because they were so confused about how the laws of war were supposed to work, Japan proceeded to send Nishi Amane to the Netherlands to study the Law of War and Peace, and twenty years later, in 1875, Japan conquered Korea. Their logic for doing so was that they were afraid Europe or China would get there first. The world recognized their conquest at the time, though after WWII they were made to give it up. Korea was alluring prey for aggressive Western nations. As Nishi Amane [the scholar who brought the Grotian rules to Japan] would later explain, defending one’s borders “is like riding in a third-class train; at first there is adequate space but as more passengers enter there is no place for them to sit. The logic of necessity requires the people to plant both feet firmly and expand their elbows into any opening that may occur for, unless this is done, others will close the opening. (Chapter 6) Section 2: The Transformation Period Recall our list of counterclaims, #s 2 and 3. 2. Outlawry wasn't taken seriously at the time by the signatories - that it was just feel-good propaganda. 3. World War II proves that it failed, so it wasn't important. This section tells the story of how the Peace Pact came into existence, including how influential it was on the thinkers of the time. Throughout the 1930s and 40s, thinkers and diplomats attempted to turn the Peace Pact into practice, and then, when World War II demonstrated that they needed significantly more teeth to make the Peace Pact real, created the United Nations and other international institutions dedicated to supporting the Pact’s goals. At the time, they viewed World War II as a sign that they hadn’t gotten the right combination of institutions to make the Peace Pact succeed, not that it wasn’t important. This was a classic situation of needing More Dakka and they did, indeed, keep adding more until it worked. In an account composed more than a decade later, Jackson recounted that this view of the Pact was shared by the president and his inner circle. The Peace Pact, he reported, “left no vestige of legal right for [a state] to resort to a war of aggression. From the beginning, Roosevelt, Hull, Welles, Stimson and I had been in agreement that Hitler’s war . . . was an illegal one, and that other powers were under no obligation to remain indifferent. (Chapter 11) There is some counter-evidence in support of #2, from the side of the Japanese at least. Japan, for example, did not think that it had renounced the rules of the Old World Order on August 27, 1928. Its signing of the “No-War Pact,” as the Paris Peace Pact was known in Japan, was regarded as a diplomatic gesture, a noble proclamation affirming the aspiration of all civilized nations to seek peace. Indeed, Japanese officials considered it a sign of how far their nation had come that it was included among the fifteen countries at the grand ceremony in Paris. (Chapter 7) But at least on the Allies side, they had intended it seriously, and as World War II went on, that intention redoubled. Sumner Welles, Undersecretary of State during World War II, was assigned by Roosevelt to create a plan for peace after the war. What he and James Shotwell authored was effectively an outline of the United Nations, and they put the Peace Pact at the very center of it. Shotwell was far from subtle about his effort to treat the Pact as a starting point. He placed the Pact at the start of his preliminary draft. Article 1 repeated the Pact verbatim. Article 2 provided that “[t]he United Nations, in order to strengthen and safeguard the peace of nations as set forth in the General Pact for the Renunciation of war, agree to cooperate in the establishment of the necessary instrumentalities for its effective maintenance.” What followed was an outline of nearly every essential institutional component of the modern-day United Nations. Ten days later he circulated a more detailed draft, now entitled “Provisional Outline of International Organization.” (Chapter 8) It wasn't just the United Nations. NATO was built off of the Atlantic Charter, and it was also designed to reinforce the Peace Pact. This is why it's reasonably accurate to describe it as a defensive alliance. The [first draft of the Atlantic Charter] was a remarkable document. It began by restating the principles of the Stimson Doctrine—there would be no conquest; the two countries would “seek no aggrandizement, territorial or other.” Moreover, there would be “no territorial changes that do not accord with the freely expressed wishes of the peoples concerned.” The Charter looked ahead to a time “after the final destruction of the Nazi tyranny”—a remarkable statement for a neutral in the war—and declared the two states’ “hope to see established a peace which will afford to all nations the means of dwelling in safety within their own boundaries. (Chapter 8) This section brings to bear quotes from leaders at the time showing how important they considered the outlawry of war, how they viewed it as changing the world, but also how unprepared they were for how to react to countries choosing to ignore the Pact. Most importantly, they show how the Allies were strongly motivated to fight World War II specifically to preserve and expand the Pact, to make the world safe for peace. Unfortunately, then, as now, Russia/the Soviet Union did not quite live up to the ideals that the Allies generally advocated for. The Soviet Union took territory after World War II, the only one of the Allies to do so. The only ally to gain any significant territory after the war was the Soviet Union. More than twenty million of the nation’s citizens had died in the course of the war, and Stalin insisted on several territorial gains as the price of peace—many, but not all, of them in areas previously contested. … These concessions to Stalin were seen by the other Allied powers as regrettable deviations from accepted law, not precedents to be followed in the future. (Chapter 13) To be fair, we are talking about Josef Stalin, here. Who’s surprised? Section 3: The New World Order Recall our list of counterclaims, #s 4 and 5. 4. The world isn't more peaceful post outlawry. 5. Any increase in peace since World War II is due to democracies, nuclear weapons, or other reasons, and not the Peace Pact. H&S walk through the best academic evidence we have of whether the world is more peaceful today than it was in the period from 1816 (when our data collection starts being decent) to the Peace Pact. They then spend some time discussing why the evidence better supports the Peace Pact than other causes. In particular, H&S highlight that only since the Peace Pact have countries been denied territorial gains from their conquests. There's a lot of detail in there. Here's just a taste of it. A loose team of political scientists has assembled comprehensive data to help them study war. The resulting project, with the intentionally clinical name “Correlates of War,” hosts datasets on everything from “militarized interstate disputes” to “world religion data” to “bilateral trade.” Most relevant here, it includes extensive data on “territorial change”—a record of every single territorial exchange between states from 1816 to 2014, totaling over eight hundred entries. What do our 254 cases of territorial change tell us? They tell us something that is at once striking and surprising: Conquest, once common, has nearly disappeared. Even more unexpected, the switch point is that now familiar year when the world came together to outlaw war, 1928. From the time the data start in 1816 until the Peace Pact opened for signature in 1928, there was, on average, approximately one conquest every ten months (1.21 conquests per year). Put another way, the average state during this period had a 1.33 percent chance of being the victim of conquest in any given year. Those may seem like pretty good odds. They are not: A state with a 1.33 percent annual chance of conquest can expect to lose territory in a conquest once in an ordinary human lifetime. After 1948, the chance an average state would suffer a conquest fell from once in a lifetime to once or twice a millennium. (Chapter 13) The US wars in Afghanistan, Iraq, and Libya One disappointment I have is that H&S do not spend much time discussing the US wars of the last two decades. The book was published in 2017, so there’s really no excuse for this. Even counting them, their claim that wars since the Peace Pact have been fewer and less world-changing than before the Peace Pact still holds up, but since they don’t directly discuss the most notable wars of the last two decades, they leave a significant hole in their argument. I can imagine defenses that they would make, but they should have made them. They mostly refer to these conflicts either as not a conquest (since the US isn’t officially running those places now) or as a side effect of the Peace Pact in allowing failed states (See Addendum 1 for more on that) More recently, the United States invaded Iraq in 2003, toppled Sadaam Hussein, and installed the Coalition Provisional Authority to govern the country. But what’s most notable about these “nonconquests” is how ineffective and unstable they usually are. Exerting influence indirectly is inefficient and expensive. (Chapter 13) And in 2015 alone, high-fatality civil wars continued in Nigeria, South Sudan, Yemen, Syria, Iraq, Afghanistan, Pakistan, Somalia, and Ukraine. Why, if war has been outlawed, is there still so much conflict? The answer is that these conflicts are not prohibited by the Pact. Indeed, they are the predictable consequences of it … the prohibition on the use of force by one state against the territory of another has allowed two sources of conflict to simmer… within [states]. (Chapter 15) The broader intellectual history of war Reading The Internationalists led me to want to read a broader intellectual history of war. H&S include some comments that hint at it, for example describing the Principle of Distinction and other agreements made about how to behave during war. Fortunately for the civilians of Europe, the biblical model of war was finally repudiated. By the middle of the eighteenth century, European armies had come to recognize a “Principle of Distinction,” the doctrine central to modern humanitarian law, which distinguishes between soldiers and civilians and protects the latter from the former. The Principle of Distinction was the first curtailment of Grotius’s blanket immunity for those waging war. In the next century, it was followed by a flood of new legal regulations placing stricter controls on a soldier’s license to kill. International treaties protected the wounded and medical personnel (First Geneva Convention, 1864) prohibited the use of fragmenting, explosive, and incendiary small arms ammunition (St. Petersburg Declaration, 1874) banned explosives from balloons, asphyxiating gas, and dum-dum bullets (First Hague Convention, 1899) and proscribed pillage, the execution of surrendering soldiers and prisoners of war, and forcing civilians to swear an allegiance to a foreign power (Second Hague Convention, 1907). (Chapter 3) But the history of this and other pre-Peace Pact intellectual history of war is thin within the text, as the point H&S are chasing is specific to the Peace Pact's relevance in history, not the broader history of war. Some of my favorite books are books that tie together aspects of history across wide gulfs, which The Internationalists succeeds at. It’s rare and delightful to see how a piratical ship capture by the Dutch in the 16th century ties together with the opening of Japan, the US battles with Mexico, and finally, the creation of the United Nations. H&S’s perspective is that the Peace Pact marks a turning point, and one that should not be forgotten. It’s also clear that it marks a capstone on a long history of small changes that are also, themselves, interesting battles in the long-running war to make the world less intolerable. In the end, they identify four key changes in the intellectual landscape, with Lauterpacht’s fingers in nearly all of them. Neutrality no longer requires impartiality. States can help those they view as victims.
Coalition To End Homelessness

Coalition To End Homelessness is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 30, 2023 and November 30, 2023. The archive places it in contexts such as "a group near me called the Coalition To End Homelessness". It most often appears alongside 80,000 Hours, ACX Grants, AI Impacts.

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November 30, 2023
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November 30, 2023
November 30, 2023 · Original source
Everyone wants to end homelessness. But there’s a group near me called the Coalition To End Homelessness. Are these people just virtue-signaling? Is it bad for their coalition to appropriate something everyone believes?
Coast Guard

Coast Guard is a recurring organization 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 "six surviving castaways are rescued by the Coast Guard". It most often appears alongside Americans, Backscratchers Club, Backscratchers Clubs.

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Coast Guard
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July 11, 2024
July 11, 2024 · Original source
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.
Cochrane database

Cochrane database is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2023 and February 01, 2023. The archive places it in contexts such as "Cochrane database (considered an especially high-quality database of meta-analyses)". It most often appears alongside 2006 Ioannidis paper, ACTIV-6, Alexandros.

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Cochrane database
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February 01, 2023
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February 01, 2023
February 01, 2023 · Original source
My response to Point 1: Funnel plots are a widely-, almost universally- used tool in meta-analyses. Alexandros has found some finicky statisticians saying that maybe they are bad, but for any statistical test there are finicky statisticians saying that maybe they are bad. Alexandros says that Dr. Bitterman’s funnel plot fails standards laid out by a 2006 Ioannidis paper, but that paper says that 95% of funnel plots in the Cochrane database (considered an especially high-quality database of meta-analyses) would fail its standards.
Cohere

Cohere is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 30, 2021 and December 30, 2021. The archive places it in contexts such as ""groups working on empirical AI safety: ...Cohere..."". It most often appears alongside ACX Grants, Aella, AI Alignment.

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Cohere
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December 30, 2021
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December 30, 2021
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@shoppingtheatre.inc
December 30, 2021 · Original source
5: Related: AI Safety Needs Great Engineers. “If you could write a pull request for a major ML library, you should apply to one of the groups working on empirical AI safety: Anthropic, Cohere, DeepMind Safety, OpenAI Safety and Redwood Research.”
Colorado Rationality Meetup

Colorado Rationality Meetup is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 29, 2024 and August 29, 2024. The archive places it in contexts such as "Group Link: https://www.meetup.com/colorado-rationality/". It most often appears alongside 10 N Park Pl, 12th Ave South, 1525 Bank St.

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August 29, 2024
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August 29, 2024
August 29, 2024 · Original source
Contact: Eneasz Brodski Contact Info: embrodski[at]gmail[dot]com Time: Sunday, September 15th, 03:00 PM Location: Sloan's Lake, North Shore, at the pier BBQs. Park in the Sloan's Lake North Parking Lot (very close to 4701 W Byron Pl), walk just past the stone structure that's right there, and we'll be on the other side of it. Should have a shade structure up, and a white board that says ACX MEETUP on it. Coordinates: https://plus.codes/85FPQX22+RM Group Link: https://www.meetup.com/colorado-rationality/ Notes: Kids are welcome! We'll be BBQing some burgers and hot dogs, and sodas and other snacks also available. Some vegan dogs on offer, but if that's your jam it would help if you could bring something vegan.
Colorado Supreme Court

Colorado Supreme Court is a recurring organization 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 "the Colorado Supreme Court tried to kick Trump off the primary ballot". It most often appears alongside 1600 Pennsylvania Avenue, 2020 election, 2024 book review contest.

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Colorado Supreme Court
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July 26, 2024
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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.
Columbia Pictures

Columbia Pictures is a recurring organization 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 ""Marvel sold the film rights (and live action TV, and animated TV) of Spider-man and related characters to Columbia Pictures"". It most often appears alongside 20th Century Fox, Abomination, Abomination.

Reference entry
Columbia Pictures
Mention count
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
Columbia University

Columbia University is a recurring organization 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 "People move to New York because it has Broadway, Columbia University, and Wall Street"; "has Columbia University". It most often appears alongside Alex Poterack, Alexander, America.

Reference entry
Columbia University
Mention count
1
Issue count
1
First seen
May 10, 2023
Last seen
May 10, 2023
May 10, 2023 · Original source
Makeshift housing in a North Dakota oil boom town (source) If each person creates half a job, the original 1,000 oilmen attract 500 service workers, those 500 attract another 250, and so on until population stabilizes at 2,000 people. In this model, if there are fewer than 2,000 houses in the town, demand exceeds supply (no matter what is going on in the rest of the country), but if there are more than 2,000, supply exceeds demand. So if we imagine Google’s presence as an oil-like resource, the extra demand for housing in the Bay should gradually decline: at some point, you will have finished housing the Google workers and the service workers who support them. But this isn’t right either, because Google isn’t a natural resource - it’s a company founded by Bay Area residents. If you got more Bay Area residents, you would (with some delay) get more Googles. Or: Austin gets lots of jobs from Tesla. Tesla wasn’t founded by Austinites. But it moved to Austin when it became a known “tech hub”, ie a place with lots of tech companies and tech employees. It wouldn’t have moved to Austin if Austin was still an uninhabited plain or a one-horse town. So as Austin got bigger, it attracted more tech companies. So in both the Bay Area case and the Austin case, having more people attracted more tech companies, either because the residents themselves found the company or because the company gets attracted to this newly bustling city. Potential counterargument: Each new Bay Area resident gives the Bay another lottery ticket to found the next Google. If having the first Google gets it an extra 1 million people, but there are 300 million people in the US, then those extra 1 million only give it a 1/300 chance of winning the next lottery. So even though the Bay Area won the lottery once, and this made it have high demand, this doesn’t mean the high demand will cause it to win more lotteries. If you win the lottery once, spend all your winnings on more lottery tickets, and keep doing this forever, you haven’t invented an infinite money printing machine, eventually you’ll just lose. Potential counter-counter-argument: the Bay got Google, and Facebook, and Apple, and . . . so these can’t all be separate lotteries. I think you should probably model it as a high-level lottery to become the next hub of a tech-sized industry, plus many low-level lotteries where once you’re the tech hub, you’re attracting lots of techies, and each techie gives you a ticket in a lottery where the denominator is the number of techies to found the next big tech company. And the Bay might have half the US’s techie population. So maybe here there is a self-sustaining lottery-winning cycle, at least until tech plays itself out and nobody wants any more tech companies. And that might take a long time. Tom (author of Tom Thought) writes: The primary drivers of demand for living in NYC are the specific opportunities available in NYC. It is true that on long time horizons, one of the reasons these opportunities have tended to collect in NYC is that it is a dense place. But those aren't the only reasons - NYC is much more important than other, bigger cities in other parts of the world for complex historical reasons. Even if a catastrophe were to wipe out half the city, there would still be a great deal of demand to live near important institutions like Broadway, Wall Street, Port of NY & NJ, Columbia, etc (assuming those institutions survived the catastrophe). Increasing the number of housing units has a very mechanical impact on how many people can live in the place. But it has only a second-order impact on the types of institutions that drive demand to live in the city. People don't just generically crave to live near other people for the most part (a handful of urbanist freaks like myself excepted). The Bay Area is a great example of this. It is much less populated than other much cheaper cities. Density isn't why people want to live there - it's access to a specific culture and specific institutions. Demand for that is not simply a function of density - some people want to be part of Bay Area culture and others don't. Adding more units will induce some demand as a second-order effect, but will bring prices down as a first-order effect. To relate this to your model: we might be able to say that the country has a certain number of abstract "culture points" that have been allocated to different cities by various historical forces. Each culture point a city has increases demand to live in that city by a certain amount. Adding more people to the city may allow it to generate additional culture points over time, or acquire culture points from other cities, but this doesn't happen right away, and is determined by a host of factors other than just density. Under this model, we expect a place like NYC to always cost much more than North Dakota (since NYC possesses a large number of culture points), but we would also expect that adding additional housing units to NYC would bring costs down (since there are now additional housing units per culture point). Perhaps this process will over time allow NYC to steal away some culture points from Chicago, Boston, or other cities, but this is a secondary effect. This just seems to be passing the buck. Yes, people move to New York because it has Broadway, Columbia University, and Wall Street. Why does it have those things? Because one in every X New York citizens founds a good artistic/educations/financial institution, and New York has a large population of employees to work at those institutions and customers to patronize those institutions. If Conanicut Island had a population of 10 million people instead of Manhattan, there would be lots of great institutions on Conanicut and it would have more culture points. I don’t think it’s a culture-point game and population/density just sort of occasionally redistributes culture points, I think to a first approximation culture points just track population/density. Maybe they track the population/density of upper class people better than the total population/density, but I don’t think this is a big enough distinction to sink the argument. 3. Comments About Chinese Ghost Cities Some people brought these up as a good natural experiment: the Chinese really did try building millions of houses on their equivalent of a North Dakota plain. What happened? Jeremiah Johnson (author of Infinite Scroll) writes: You currently seem like you're at the stage of understanding the thought experiments pretty well, but not understanding them on a DEEP level. For example with your hypothetical, this has actually happened before! Kind of. China built a bunch of 'ghost cities' basically out of nothing, and while there was an initial craze of speculation and tons of investment and building... nobody went to live in those cities most of the time. And now they're deeply distressed assets worth basically nothing. When nobody actually lives in the ghost city, it doesn't matter that they have super dense housing. There's no demand. (the only reason they might be worth something is that the CCP very, very much does not want to pop their huge housing bubble and is likely to bail out some of the parties involved) Parmenides (author of Last House On The Left) writes: I think your mixing up the agglomeration effects of density, which is what induces the demand, and the housing supply. You can't just build a city and expect people to move in, China has tried that. But if you have the agglomeration effects of density and shortage of housing due to artificial constraints, which we have all across the US, then you get dense areas with high housing costs. sdwr writes: Think of China's ghost cities / apartment blocks. Prices surely can't be that high there. Maybe the answer is that developers are good at their job, and build supply where theres demand for it? But several other people object that although the Western press made a big deal about Chinese ghost cities a few years ago, it mostly just took a couple of years for people to move in, and now at least some of them seem to be thriving. For example, Michael quotes the Wikipedia article, Under-occupied Developments In China: Reporting in 2018, Shepard noted that "Today, China’s so-called ghost cities that were so prevalently showcased in 2013 and 2014 are no longer global intrigues. They have filled up to the point of being functioning, normal cities". Ash Lael writes: I'm sceptical of the Chinese "ghost city" phenomenon. I haven't explored the issue rigorously but my impression is that in areas that were previously dismissed as "ghost cities" like Ordos Kangbashi, the population is now large and growing. I think we in the west are so used to infrastructure bottlenecks and short sightedness and anti-construction policies that the idea of it being possible to build the housing and infrastructure to accomodate expected demand ten years in the future is completely foreign to us. Perhaps building brand new cities before they are even needed is what the YIMBY utopia looks like. See also Bloomberg: China’s Ghost Cities Are Finally Stirring To Life After Years Of Empty Streets. This wasn’t trivial. It looks like the Chinese government had to put in some work to make people move in, including opening good schools and universities there. Probably if they had just built apartments in the middle of the desert and nothing else, they would have stayed empty. But that’s even more of a reductio ad absurdum than the original ghost city plan. 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?)
Commentariat

Commentariat is a recurring organization 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 "Commentariat who have a particular thing that they like"; "all four of these measures point to a change which occurred when the Commentariat moved to Substack". It most often appears alongside 4chan, ACX, ACX.

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Commentariat
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1
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July 26, 2025
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July 26, 2025
July 26, 2025 · Original source
The Astral Codex Ten (ACX) Commentariat is defined as the 24,485 individuals other than Scott who have contributed to the corpus of work of Scott’s blog posts, chiefly by leaving comments at the bottom of those posts. It is well understood (by the Commentariat themselves) that they are the best comments section anywhere on the internet, and have been for some time. This review takes it as a given that the ACX Commentariat outclasses all of its pale imitators across the web, so I won’t compare the ACX Commentariat to e.g. reddit. The real question is whether our glory days are behind us – specifically whether the ACX Commentariat of today has lost its edge compared to the SSC Commentariat of pre-2021.
“Do you feel like you’ve shifted to less ambitious forms of writing with the new Substack?”, which dates the decline to 2021 Quite a few people responded in the comments that Scott’s writing hadn’t changed, but it was the experience of being a commentor which had worsened. For example, David Friedman, a prolific commentor on the blog in the SSC-era, writes: A lot of what I liked about SSC was the commenting community, and I find the comments here less interesting than they were on SSC, fewer interesting arguments, which is probably why I spend more time on [an alternative forum] than on ACX. Similarly, kfix seems to be a long-time lurker (from as early as 2016) who has become more active in the ACX-era, writes: I would definitely agree that the commenting community here is 'worse' than at SSC along the lines you describe, along with the also unwelcome hurt feelings post whenever Scott makes an offhand joke about a political/cultural topic. And of course, this position wasn’t unanimous. Verbamundi Consulting is a true lurker who has only ever made one post on the blog – this one: Ok, I've been lurking for a while, but I have to say: I don't think you suck… You have a good variety of topics, your commenting community remains excellent, and you're one of the few bloggers I continue to follow. The ACX Commentariat is somewhat unique in that it self-styles itself as a major reason to come and read Scott’s writing – Scott offers up some insights on an issue, and then the comments section engages unusually open and unusually respectful discussion of the theme, and the total becomes greater than the sum of the parts. Therefore, if the Commentariat has declined in quality it may disproportionately affect people’s experience of Scott’s posts. The joint value of each Scott-plus-Commentariat offering declines if the Commentariat are not pulling their weight, even if Scott himself remains just as good as ever. In Why Do I Suck? Scott suggests that there is weak to no evidence of a decline in his writing quality, so I propose this review as something of a companion piece; is the (alleged) problem with the blog, in fact, staring at us in the mirror? My personal view aligns with Verbamundi Consulting and many other commentors - I’ve enjoyed participating in both the SSC and ACX comments, and I haven’t noticed any decline in Commentariat quality. So, I was extremely surprised to find the data totally contradicted my anecdotal experience, and indicated a very clear dropoff in a number of markers of quality at almost exactly the points Scott mentioned in Why Do I Suck? – one in mid-2016 and one in early 2021 during the switch from SSC to ACX. Setting Out the Case for Decline There’s a pretty basic question that needs to be answered before we compare the Commentariat today to that of yesteryear. That question is - does ‘the Commentariat’ actually exist? It is easy to understand what it means for Scott’s writing to have got better or worse over time, or to track the evolution of a specific commentor’s engagement with the blog. But in order to review ‘the Commentariat’ as a whole we would have to treat it as a single entity with discernible patterns and tendencies. I believe this approach is justified; the Commentariat has a distinct culture, voice and its own unique animal spirits that react to both Scott’s interests and the interests of the external world. Since it is not just generating random noise, it is possible to explore the Commentariat over time to build a case that its overall quality is declining (or not). To demonstrate this, I have displayed below a graph of comments per post across the lifetime of the blogs. It may not be quite fair to say that ‘engagement’ is the same thing as ‘quality’, but I certainly think it raises a question that needs to be answered; something massively affects comment engagement in 2016 and then again in 2021. In this graph, each datapoint represents a month that Scott has been blogging. A typical month will have between 15-20 posts, of which around half will be authored by Scott and half will be ‘authored’ in some way by the Commentariat, which are mostly Open Threads. I’ve averaged by month because certain types of post get much less engagement than others, and so looking at individual posts ended up too noisy to make attractive graphs (the true goal of any honest statistician). The SSC-era is highlighted in blue. You can see that it shows something a bit like a classic sigmoidal adoption curve (but wearing a top hat). Post engagement starts low, before rapidly shooting up in 2014-15. It peaks in April 2016 – which is highlighted in red in this and all subsequent graphs so you can track peak engagement - before dropping back to a steady level of around 400-600 comments per post for the next three years. Notably, the run of posts that most people regard as being the ‘Golden Age’ for Scott’s writing happens much earlier than peak engagement with the comments section. People disagree about where this run of exceptionally good posts in quick succession start and ends, but I think you could safely say it has definitely begun by the time of The Control Group is Out of Control (although I would date it a little earlier, personally) and ends with either The Toxoplasmosa of Rage or Untitled – basically 2014 has a high density of ‘important’ posts.
In this graph, each datapoint represents a month that Scott has been blogging. A typical month will have between 15-20 posts, of which around half will be authored by Scott and half will be ‘authored’ in some way by the Commentariat, which are mostly Open Threads. I’ve averaged by month because certain types of post get much less engagement than others, and so looking at individual posts ended up too noisy to make attractive graphs (the true goal of any honest statistician). The SSC-era is highlighted in blue. You can see that it shows something a bit like a classic sigmoidal adoption curve (but wearing a top hat). Post engagement starts low, before rapidly shooting up in 2014-15. It peaks in April 2016 – which is highlighted in red in this and all subsequent graphs so you can track peak engagement - before dropping back to a steady level of around 400-600 comments per post for the next three years. Notably, the run of posts that most people regard as being the ‘Golden Age’ for Scott’s writing happens much earlier than peak engagement with the comments section. People disagree about where this run of exceptionally good posts in quick succession start and ends, but I think you could safely say it has definitely begun by the time of The Control Group is Out of Control (although I would date it a little earlier, personally) and ends with either The Toxoplasmosa of Rage or Untitled – basically 2014 has a high density of ‘important’ posts.
Commerce Committee

Commerce Committee is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 21, 2025 and April 21, 2025. The archive places it in contexts such as "Ted Cruz and the Commerce Committee are looking for an AI Counsel". It most often appears alongside Aashish Reddy, AI 2027, AI Innovation And Security Policy Workshop.

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Commerce Committee
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April 21, 2025
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April 21, 2025
April 21, 2025 · Original source
Ted Cruz and the Commerce Committee are looking for an AI Counsel.
Commission

Commission is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 05, 2024 and November 05, 2024. The archive places it in contexts such as "the Commission cannot obtain a stay at this time". It most often appears alongside Aaron Peskin, Berkeley, Betfair.

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Commission
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November 05, 2024
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November 05, 2024
November 05, 2024 · Original source
While the question on the merits is close and difficult, the Commission cannot obtain a stay at this time because it has not demonstrated that it or the public will be irreparably harmed while its appeal is heard.
Commissions for the Dissuasion of Drug Addiction

Commissions for the Dissuasion of Drug Addiction is a recurring organization 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 "regionally administered 'Commissions for the Dissuasion of Drug Addiction,' composed of a social worker, lawyer, and doctor". 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.

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1
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1
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June 23, 2022
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June 23, 2022
June 23, 2022 · Original source
Results of a survey at one of SF’s new Navigation Centers at why their clients refused to go to normal shelters. But even the homeless people who do want to go to shelters mostly can’t get in. This app gives the current status of San Francisco’s homeless shelter waitlist. If you applied today, there would be 900 people ahead of you in line for one of the city’s 1500 - 2500 shelter beds. The app says that the median wait time is 826 days. So however many homeless people don’t want to go to shelters, we’re not building enough shelters to serve the ones who do. Why not? Shellenberger again: In the spring of 2021, Friedenbach published an op-ed opposing a proposal considered by the San Francisco Board of Supervisors to create, within eighteen months, sufficient homeless shelters and outdoor “Safe Sleeping Sites” for all of the city’s unsheltered homeless. “One can simply take a look to New York City,” she wrote. “Their department spends about $1.3 billion dollars of its budget on providing shelter for their unhoused population while thousands remain on the street. . . . As a result, New York has a higher rate of homelessness than San Francisco.” Housing First advocate Margot Kushel of the University of California, San Francisco agreed. “The problem with New York—and I spend a lot of time with people working in the system in New York—is that they spend an estimated $30,000 for each person per year to keep them in shelter. That’s not what we want to do. Because if you create the shelter and you don’t create the housing, then people are just in shelter forever.” Housing First advocates oppose shelter in Los Angeles. “Why haven’t we solved homelessness?” asked Housing First creator Sam Tsemberis. “Because [Los Angeles mayor] Eric Garcetti [has] Andy Bales [saying,] ‘You need emergency housing.’ ‘These people need to be cleaned up.’ ‘They need to be sober.’ ‘They need Jesus before they’ll be ready for housing.’ I said, ‘People should be housed and then maybe they’ll get sobriety and Jesus and the rest.’ We’re definitely on polar opposites of the whole thing.” Advocates for the homeless at the national level similarly oppose more shelters. “I don’t agree that we should be building more transitional housing,” said the head of the National Alliance to End Homelessness. […] In other words, the reason that there are so many homeless people on the streets in San Francisco is that both progressive and moderate Democratic elected officials, and the city’s most influential homelessness experts and advocates, have for two decades opposed building sufficient shelters. And that is unlikely to change even after San Francisco starts spending hundreds of millions more per year on the problem and might even get worse. This basically seems true. I found this webpage of a former SF Supervisor candidate a helpful corroborating source. He was running on a platform of “maybe we should build some homeless shelters”. He lost. You can also find a bunch of webpages by the sorts of people Shellenberger is complaining about, for example this site: Sup[ervisor] Rafael Mandelman today pushed his new legislation that would require the city to offer at least temporary shelter to everyone living on the streets, a step that some say would lead to more homeless sweeps and do nothing to create permanently affordable housing . . . [our] Coalition has argued for years that the solution to homelessness is housing—not temporary shelter, which may never lead to housing. The ex-supervisor candidate gives some helpful numbers: permanent housing costs about $600,000 per person housed. Shelters cost between $20,000 and $30,000 per person housed. So SF could build enough shelters to clear its waitlist for about $30 million. More recently, SF has tried a sort of compromise, opening “deluxe” shelters called Navigation Centers which avoid some of the problems of regular shelters. They also cost more than twice as much, and the city has only created about 300 beds. Also, the people in regular shelters are angry, because being in a regular shelter disqualifies you from getting into a (much better) Navigation Center. Some of them are considering leaving their shelter, going back on the streets, then waiting however many months or years it takes to get a Navigation Center bed instead. I’m not at all sure of these numbers, but it looks like of SF’s ~7,000 homeless, about 2,000 are in shelters already, and 1,000 are on the shelter waitlist. I don’t know if the remaining 4,000 have made a specific commitment not to go to shelters, or just have given up on the waitlist process. My conclusion: agree with San Fransicko about the role of progressive activists, but I think it overemphasizes the role of wanting to use drugs in why homeless people themselves sometimes avoid shelters, and underemphasizes the many other problems with them. Claim 5: Drug Decriminalization Isn’t Working California legalized marijuana in 2016. Shellenberger says that San Francisco’s commitment to drugs has gone beyond that: it has effectively decriminalized opioids, cocaine, and the rest. Any attempt to lessen use of these drugs is attacked as “stigmatizing”; instead, government policy centers around providing addicts with needles and other drug paraphernalia under the guise of “harm reduction”. Shellenberger hits all the right beats here. Like many people, he tries to undo the damage done by The New Jim Crow, a book which convinced millions of people that mass incarceration was driven by a racist War On Drugs. In fact, less than a fifth of prisoners are in for drug-related crimes. And when the government was first debating the War on Drugs and mass incarceration, black leaders were among the strongest proponents of both. The talking point at the time - among everyone from black Congressional leaders to black churches - was that the government’s failure to crack down on drug use was racist, borne of them not caring about predominantly black drug victims. And while we’ve been patting ourselves on the back about how enlightened we are for ending the drug war: Drug overdoses are today the number one cause of accidental death in the United States as a result of America’s historic addiction and overdose epidemic. Overdose deaths rose from 17,415 in 2000 to 93,330 in 2020, a 536 percent increase.Significantly more people die of drug overdoses today than of homicide (13,927 in 2019) or car accidents (36,096 in 2019). […] There are about twenty-five thousand injection drug users in San Francisco, a number 50 percent larger than the number of students enrolled in the city’s fifteen public high schools. San Francisco gives away more needles to drug users, six million per year, than New York City, despite having one-tenth the population. The part of this chapter that stood out to me as most worth looking into deeper was the section on Portugal: For decades, harm reduction and decriminalization advocates have pointed to Portugal as a model, noting that it decriminalized drugs and expanded drug treatment. In 2013, Portugal’s drug-induced death rate was sixty-six times less than that of the United States. The number of people in treatment increased by 60 percent between 1998 and 2011, with three-quarters receiving an opioid substitute like methadone or Suboxone, the brand name of buprenorphine. Drug use among 15- to 24-year-olds actually declined after decriminalization. “All drugs have been legalized,” explained Monique Tula, executive director of the Harm Reduction Coalition. “Their focus is on giving people tools, like job apprenticeships, and the means to support themselves.” […] [But Portugal] never legalized drugs. It only decriminalized them, reducing criminal penalties but maintaining prohibition. Drug dealers were still sent to prison even after the 2001 decriminalization. And Portugal does not let people addicted to hard drugs with behavioral disorders off the hook like progressive West Coast cities have done. It’s true that Portugal massively expanded drug treatment, but people are still arrested and fined for possession of heroin, meth, and other hard drugs. And drug users are typically sent to a regionally administered “Commissions for the Dissuasion of Drug Addiction,” composed of a social worker, lawyer, and doctor who encourage, push, and coerce drug treatment. And decriminalization doesn’t end drug violence. “Even if trafficking enforcement decreased, like it did in Portugal,” said criminologist John Pfaff, “illegal drug markets would still be forced to rely on violence to resolve disputes.” Indeed, prostitution and violence are ever-present in the open-air drug scenes in San Francisco, Los Angeles, and Seattle. “We are seeing behaviors from our guests that I’ve never seen in thirty-three years,” said Rev. Andy Bales, who runs the largest homeless shelter on Skid Row in Los Angeles. “They are so bizarre and different that I don’t even feel right describing the behaviors. It’s extreme violence of an extreme sexual nature.” People are not dying from drug overdose deaths in San Francisco because they’re being arrested. They’re dying because they aren’t being arrested. Decriminalization reduces prices by lowering production and distribution costs, which increases use. This was also the case for alcohol consumption. It increased after prohibition ended in the United States. Even in Portugal, drug overdose deaths and overall drug use rose after decriminalization. I was most surprised by the claim that Portuguese overdose deaths rose after decriminalization. Uncharacteristically, San Fransicko doesn’t give a citation for it, but we can try to retrace its reasoning. Decriminalization proponents tend to point to these numbers, helpfully converted to per 100,000 population and graphed here: But an anti-drug Australian think tank argues that the peak in 2001 is made up: Claims that there were more than 75 drug-related deaths in 2001 which more than halved to 34 deaths in 2002 use a figure for 2001 for which there is no substantiation. Official drug-related deaths for Portugal, taken from the latest 2018 EMCDDA Statistical Bulletin are copied below. Notice that there is no such figure recorded for 2001. They include a link to EMCDDA, the EU organization charged with monitoring these things. The link contains two datasets, both of which seem to be measuring the same thing but getting different results. One dataset starts in 2002, the other in 2008. I don’t know what the difference here is, but they’re right that neither includes 2001. If you ignore the pre-2002 data, the graph looks like this: 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.
Committee For Best Practices

Committee For Best Practices is a recurring organization 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 "a definitely-existing group called the Committee For Best Practices (CAMP in Spanish)". It most often appears alongside Alaska, America, Amisulpride.

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April 14, 2021
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April 14, 2021
April 14, 2021 · Original source
Attention turned to a definitely-existing group called the Committee For Best Practices (CAMP in Spanish) which was handling the day-to-day negotiations. But its members seemed to have been hand-picked to raise eyebrows. They included Ronald Reagan’s adopted son, the foreign minister of Oman, US low tax campaigner Grover Norquist, and - in case there was a single conspiracy theorist anywhere in the world not already on high alert - a member of the Habsburg family. I would say this raises a lot of questions, but really the only question anyone had at the time was “what?”
This became part of a broader conflict in Honduran politics, which came to a head after the Supreme Court struck down a major police reform bill. Congress fired the four anti-government Supreme Court justices and replaced them with pro-government ones; opinions on the constitutionality of the move range from unclear to extremely skeptical. There was a big crisis for a while, various factions accused various other factions of plotting coups, but the government made it through. Three years later, they tried again with a ZEDE law, this one slightly amended to make it clear that the areas were still ultimately under Honduran sovereignty. The new packed-with-government-supporters Supreme Court pronounced it okay, and the law passed with the support of 78% (!) of Congress. They dismissed the old CAMP members and replaced them with people apparently inoffensive enough that nobody’s reported on who they are (I think one of them might be this guy).
Próspera has tried its best to repudiate these kinds of tactics. They’ve passed an internal resolution saying it’s illegal for Próspera to ever expropriate Honduran land without the owners’ consent. With their support, the CAMP (the Honduran governing body regulating ZEDEs) has passed a Honduran resolution saying it’s illegal for ZEDEs to expropriate Honduran land. Próspera’s current territory is a completely empty site where “in order to avoid claims of expropriation (which we somehow inexplicably got tarred with anyways), we [did] title research to ensure at no point in the property title's entire history has it ever been expropriated by the government.” Their stated policy is to only buy other empty land, from the landowner, with their consent.
Committee of Public Safety

Committee of Public Safety is a recurring organization 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 "Committee of Public Safety pushed through the Law of 22 Prairial". It most often appears alongside 1600 Pennsylvania Avenue, 2020 election, 2024 book review contest.

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July 26, 2024
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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.
Common Ground

Common Ground is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 11, 2021 and December 11, 2021. The archive places it in contexts such as "Common Ground (the go-to organizing body I recommend joining)". It most often appears alongside /r/georgism, ACX community, Aggregate Land Rents, Expenditure on Public Goods, and Optimal City Size.

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Common Ground
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December 11, 2021
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December 11, 2021
December 11, 2021 · Original source
Common Ground (the go-to organizing body I recommend joining)
Common Ground USA

Common Ground USA is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 10, 2021 and December 10, 2021. The archive places it in contexts such as "Source: this tweet from Common Ground USA". It most often appears alongside A. R. Hutchinson, ATCOR theory, Australia.

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Common Ground USA
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December 10, 2021
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December 10, 2021
December 10, 2021 · Original source
Source: this tweet from Common Ground USA Ideally, the next step after shifting taxes from buildings to land is to abolish the portion of the tax that falls on buildings.
Commonwealth Fund

Commonwealth Fund is a recurring organization 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 "and the Commonwealth Fund". It most often appears alongside Alinea, Alp Blossom, Alpha Tolman.

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Commonwealth Fund
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January 19, 2022
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January 19, 2022
January 19, 2022 · Original source
Source: page 370 of WCHWBS and the Commonwealth Fund. Things look a bit different depending on which statistics you chose to highlight; I did my best to be representative but you should double-check. Red countries are fully socialized, yellow ones are more privatized, various shades of blue are various types of single-payer. The only truly socialist health system here, that of the UK, looks maybe a little worse than average. It has the third-lowest satisfaction, the third-longest wait times, and the fourth-lowest life expectancy. Emanuel’s more thorough look agrees that the UK underperforms. But it’s also very cheap - the cheapest western health system on the list. Emanuel thinks the UK is probably close to the cost-quality Pareto frontier and not making any stupid mistakes, but has made the political decision to not fund its health system very much.
Commonwealth Fusion

Commonwealth Fusion is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 17, 2022 and June 17, 2022. The archive places it in contexts such as "Commonwealth Fusion had just been founded when Parisi & Ball wrote in 2018. Now they're leading the race to fusion"; "Type One Energy... using Commonwealth Fusion's high temperature superconductors"; "Commonwealth has raised $2 billion so far". It most often appears alongside Alcator C-Mod, Apollo Program, ARC.

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Commonwealth Fusion
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June 17, 2022
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June 17, 2022
June 17, 2022 · Original source
Figure 9: There are three people in this diagram. Can you find them? ITER is designed to get Q=10. Despite getting 10 times as much energy from fusion as we put into the plasma, ITER is not designed to get engineering breakeven. ITER is designed as an experiment, not as a power plant. There will be tons of measuring devices pointed inwards. There are four different ways to heat the plasma and drive the current. This all allows you to learn more, but it requires extra power and lowers the overall plant efficiency. ITER will be followed by a demonstration power plant, named DEMO [15]. A fully optimized power plant should be able to reach engineering breakeven as long as Q>5. This is why I chose Q=5 as my criterion for ‘getting fusion’. ITER is also testing multiple designs for the tritium breeding blanket. Tritium is expensive and radioactive, so you want to produce it on site. The D-T fusion reaction produces a neutron, which we want to absorb, so we can use it to produce tritium. ‘Breeding' is when we use a neutron to produce a more useful isotope. It is a ‘blanket' because it surrounds the entire plasma, keeping the neutrons from going anywhere else. The best reaction to produce tritium involves lithium-6: 36Li +01n 24He +13T . This reaction also releases energy, which increases the power produced by about 25%. The tritium breeding blanket needs to make this reaction occur as much as possible, to efficiently carry the heat away so it can be used to generate electricity, and to provide a way to extract the tritium produced. ITER is scheduled to begin their first experiments in 2025. Part of why I think that we are about to make rapid progress again is because we are finally getting a large experiment. There have been problems with ITER staying on schedule and under budget. This isn't surprising for a collaboration between governments representing over half the world's population. In 2014, ITER got a new director, recalculated its expected cost, and underwent a major restructuring. Since then, ITER has largely stuck to this schedule and budget. Recently, there has been a 6 month delay because the French nuclear agency did what nuclear regulatory agencies do best, but this has been the longest delay since 2014. It is still possible for ITER to fail. The biggest risk involves disruptions. Sometimes, the plasma in a tokamak becomes unstable and all of the plasma hits the wall at once. This could melt some extremely expensive equipment and take years to repair. If ITER cannot get disruptions under control, then it would be a failed experiment. This is especially challenging because pushing for higher Q makes disruptions more likely. ITER is planning on being extremely cautious: Experiments begin in 2025, but it won't operate at full capacity until 2035. ITER has been the focus of the fusion community now for decades. The Future of Fusion Energy similarly makes ITER the centerpiece of the book. Things. Have. Changed. ITER by itself is not enough to justify the high level of confidence I express at the start. When Parisi & Ball finished writing this book in April 2018, ITER was basically the only game in town. Since then, Things. Have. Changed. Historically, private fusion companies were almost entirely jokes or frauds. They make outlandish claims, use completely different designs so they can't build on the progress of Figure 3, and they can be safely ignored. For example, Lockheed Martin [16] claims that it will take them five years to build a prototype of a fusion power plant that will fit in a truck. They have yet to publish evidence that they have produced a fully ionized plasma. Maybe they're just being secretive, but their design has solid components in the plasma. That won't work. A new generation of private companies have surged into fusion. Leading the charge is Commonwealth Fusion Systems and their tokamak SPARC [17]. Recent advances in high temperature superconductors have been a game changer. They can produce a much stronger magnetic field which allows for better confinement in a smaller experiment. We should now be able to get Q=10 in a medium experiment, which costs ten times less than ITER [18] and is within the reach of private venture capital. Figure 10: Finding the person here is much easier. When the Department of Energy decided to close the third largest plasma experiment in the US, the MIT group which ran it found itself adrift. They founded Commonwealth Fusion Systems in 2018 with a goal of getting fusion within 10 years [19]. Since then, they have built the first ever high temperature superconducting coil in 2019, released their engineering plans for SPARC in 2020, began construction in 2021, and plan on finishing construction in 2025. Commonwealth Fusion had just been founded when Parisi & Ball wrote in 2018. Now they're leading the race to fusion. Several other startups are following SPARC's strategy of using stronger magnetic fields to get fusion in a smaller experiment. They use a variety of designs. Alternative Designs To understand how the alternative designs are different, we need to make sure we understand the basic strategy for getting fusion in a tokamak. Let's run through it again: (A) We want to get lots of fusion reactions … … so we want a large triple product (density * temperature * confinement time). (B) The fusion plasma is too hot to touch solid objects … … so we put it in a magnetic bottle shaped like a doughnut. (C) The particles drift outwards, leaving the bottle … … so we twist the magnetic field with a current in the plasma. I will start with the alternatives that are most similar to a tokamak. For each one, I will list the best experiments that currently exist, where they're located, and the year they began operation. Tokamaks have been better researched than any other strategy. There are currently 10 medium tokamaks: T-10 (Russia, 1975)
Figure 10: Finding the person here is much easier. When the Department of Energy decided to close the third largest plasma experiment in the US, the MIT group which ran it found itself adrift. They founded Commonwealth Fusion Systems in 2018 with a goal of getting fusion within 10 years [19]. Since then, they have built the first ever high temperature superconducting coil in 2019, released their engineering plans for SPARC in 2020, began construction in 2021, and plan on finishing construction in 2025. Commonwealth Fusion had just been founded when Parisi & Ball wrote in 2018. Now they're leading the race to fusion. Several other startups are following SPARC's strategy of using stronger magnetic fields to get fusion in a smaller experiment. They use a variety of designs. Alternative Designs To understand how the alternative designs are different, we need to make sure we understand the basic strategy for getting fusion in a tokamak. Let's run through it again: (A) We want to get lots of fusion reactions … … so we want a large triple product (density * temperature * confinement time). (B) The fusion plasma is too hot to touch solid objects … … so we put it in a magnetic bottle shaped like a doughnut. (C) The particles drift outwards, leaving the bottle … … so we twist the magnetic field with a current in the plasma. I will start with the alternatives that are most similar to a tokamak. For each one, I will list the best experiments that currently exist, where they're located, and the year they began operation. Tokamaks have been better researched than any other strategy. There are currently 10 medium tokamaks: T-10 (Russia, 1975)
STEP gets fusion by 2040 (20%). Private Companies Commonwealth Fusion Systems / SPARC I've already told their story because they are the current leader. Everything has gone well so far. SPARC gets fusion by 2025 (30%) or 2030 (70%).
Commonwealth Fusion Systems

Commonwealth Fusion Systems is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 17, 2022 and June 17, 2022. The archive places it in contexts such as "Leading the charge is Commonwealth Fusion Systems and their tokamak SPARC"; "Commonwealth Fusion Systems / SPARC. I've already told their story because they are the current leader. Everything has gone well so far"; "any company other than Commonwealth Fusion Systems". It most often appears alongside Alcator C-Mod, Apollo Program, ARC.

Mention count
1
Issue count
1
First seen
June 17, 2022
Last seen
June 17, 2022
June 17, 2022 · Original source
Figure 9: There are three people in this diagram. Can you find them? ITER is designed to get Q=10. Despite getting 10 times as much energy from fusion as we put into the plasma, ITER is not designed to get engineering breakeven. ITER is designed as an experiment, not as a power plant. There will be tons of measuring devices pointed inwards. There are four different ways to heat the plasma and drive the current. This all allows you to learn more, but it requires extra power and lowers the overall plant efficiency. ITER will be followed by a demonstration power plant, named DEMO [15]. A fully optimized power plant should be able to reach engineering breakeven as long as Q>5. This is why I chose Q=5 as my criterion for ‘getting fusion’. ITER is also testing multiple designs for the tritium breeding blanket. Tritium is expensive and radioactive, so you want to produce it on site. The D-T fusion reaction produces a neutron, which we want to absorb, so we can use it to produce tritium. ‘Breeding' is when we use a neutron to produce a more useful isotope. It is a ‘blanket' because it surrounds the entire plasma, keeping the neutrons from going anywhere else. The best reaction to produce tritium involves lithium-6: 36Li +01n 24He +13T . This reaction also releases energy, which increases the power produced by about 25%. The tritium breeding blanket needs to make this reaction occur as much as possible, to efficiently carry the heat away so it can be used to generate electricity, and to provide a way to extract the tritium produced. ITER is scheduled to begin their first experiments in 2025. Part of why I think that we are about to make rapid progress again is because we are finally getting a large experiment. There have been problems with ITER staying on schedule and under budget. This isn't surprising for a collaboration between governments representing over half the world's population. In 2014, ITER got a new director, recalculated its expected cost, and underwent a major restructuring. Since then, ITER has largely stuck to this schedule and budget. Recently, there has been a 6 month delay because the French nuclear agency did what nuclear regulatory agencies do best, but this has been the longest delay since 2014. It is still possible for ITER to fail. The biggest risk involves disruptions. Sometimes, the plasma in a tokamak becomes unstable and all of the plasma hits the wall at once. This could melt some extremely expensive equipment and take years to repair. If ITER cannot get disruptions under control, then it would be a failed experiment. This is especially challenging because pushing for higher Q makes disruptions more likely. ITER is planning on being extremely cautious: Experiments begin in 2025, but it won't operate at full capacity until 2035. ITER has been the focus of the fusion community now for decades. The Future of Fusion Energy similarly makes ITER the centerpiece of the book. Things. Have. Changed. ITER by itself is not enough to justify the high level of confidence I express at the start. When Parisi & Ball finished writing this book in April 2018, ITER was basically the only game in town. Since then, Things. Have. Changed. Historically, private fusion companies were almost entirely jokes or frauds. They make outlandish claims, use completely different designs so they can't build on the progress of Figure 3, and they can be safely ignored. For example, Lockheed Martin [16] claims that it will take them five years to build a prototype of a fusion power plant that will fit in a truck. They have yet to publish evidence that they have produced a fully ionized plasma. Maybe they're just being secretive, but their design has solid components in the plasma. That won't work. A new generation of private companies have surged into fusion. Leading the charge is Commonwealth Fusion Systems and their tokamak SPARC [17]. Recent advances in high temperature superconductors have been a game changer. They can produce a much stronger magnetic field which allows for better confinement in a smaller experiment. We should now be able to get Q=10 in a medium experiment, which costs ten times less than ITER [18] and is within the reach of private venture capital. Figure 10: Finding the person here is much easier. When the Department of Energy decided to close the third largest plasma experiment in the US, the MIT group which ran it found itself adrift. They founded Commonwealth Fusion Systems in 2018 with a goal of getting fusion within 10 years [19]. Since then, they have built the first ever high temperature superconducting coil in 2019, released their engineering plans for SPARC in 2020, began construction in 2021, and plan on finishing construction in 2025. Commonwealth Fusion had just been founded when Parisi & Ball wrote in 2018. Now they're leading the race to fusion. Several other startups are following SPARC's strategy of using stronger magnetic fields to get fusion in a smaller experiment. They use a variety of designs. Alternative Designs To understand how the alternative designs are different, we need to make sure we understand the basic strategy for getting fusion in a tokamak. Let's run through it again: (A) We want to get lots of fusion reactions … … so we want a large triple product (density * temperature * confinement time). (B) The fusion plasma is too hot to touch solid objects … … so we put it in a magnetic bottle shaped like a doughnut. (C) The particles drift outwards, leaving the bottle … … so we twist the magnetic field with a current in the plasma. I will start with the alternatives that are most similar to a tokamak. For each one, I will list the best experiments that currently exist, where they're located, and the year they began operation. Tokamaks have been better researched than any other strategy. There are currently 10 medium tokamaks: T-10 (Russia, 1975)
Figure 10: Finding the person here is much easier. When the Department of Energy decided to close the third largest plasma experiment in the US, the MIT group which ran it found itself adrift. They founded Commonwealth Fusion Systems in 2018 with a goal of getting fusion within 10 years [19]. Since then, they have built the first ever high temperature superconducting coil in 2019, released their engineering plans for SPARC in 2020, began construction in 2021, and plan on finishing construction in 2025. Commonwealth Fusion had just been founded when Parisi & Ball wrote in 2018. Now they're leading the race to fusion. Several other startups are following SPARC's strategy of using stronger magnetic fields to get fusion in a smaller experiment. They use a variety of designs. Alternative Designs To understand how the alternative designs are different, we need to make sure we understand the basic strategy for getting fusion in a tokamak. Let's run through it again: (A) We want to get lots of fusion reactions … … so we want a large triple product (density * temperature * confinement time). (B) The fusion plasma is too hot to touch solid objects … … so we put it in a magnetic bottle shaped like a doughnut. (C) The particles drift outwards, leaving the bottle … … so we twist the magnetic field with a current in the plasma. I will start with the alternatives that are most similar to a tokamak. For each one, I will list the best experiments that currently exist, where they're located, and the year they began operation. Tokamaks have been better researched than any other strategy. There are currently 10 medium tokamaks: T-10 (Russia, 1975)
STEP gets fusion by 2040 (20%). Private Companies Commonwealth Fusion Systems / SPARC I've already told their story because they are the current leader. Everything has gone well so far. SPARC gets fusion by 2025 (30%) or 2030 (70%).
Communist Youth League

Communist Youth League is a recurring organization 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 "former secretary of the Communist Youth League". It most often appears alongside America, American consulate, Attorney General.

Reference entry
Communist Youth League
Mention count
1
Issue count
1
First seen
April 06, 2022
Last seen
April 06, 2022
April 06, 2022 · Original source
When Jiang reached his term limit, he stepped down in favor of Hu Jintao, former secretary of the Communist Youth League. The CYLers formed a power bloc distinct from the Shanghai Gang, drawing more on inland rural commoners. The two blocs may have made some kind of power-sharing agreement behind closed doors, probably involving a pledge to alternate who got the Paramount Leader position
Communists

Communists is a recurring organization 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 "The Social Democrats and the Communists both opposed the measure". It most often appears alongside Academy’s School of Architecture, Adolf, Adolf Hitler.

Reference entry
Communists
Mention count
1
Issue count
1
First seen
August 04, 2023
Last seen
August 04, 2023
August 04, 2023 · Original source
Schleicher reached out to the man who had done more than anyone besides Hitler to build up the Nazi Party: Gregor Strasser. While Hitler’s influence was strongest in Bavaria, Strasser had connections in Northern Germany, and had done vital work for the Party by bringing these people into the fold. Despite this service, he was regularly at loggerheads with Hitler, both because the Führer recognized that Strasser alone had the combination of independence and influence necessary to take over the party and because Strasser strongly believed in the socialism of National Socialism and was frequently embarrassing Hitler by extending olive branches to the socialists and communists. With Party funds drying up and Hitler refusing to compromise to gain power, Strasser was more frustrated with his Führer than ever. Taking all of this into consideration, Schleicher was confident that he could peel Strasser and his more socialist contingent of the party away from Hitler and build a coalition government with their votes. He offered Strasser the vice-chancellorship.
The Nazis had an additional advantage in that they’d gotten control of the police in Prussia, the largest German state, as part of the deal which had brought them into the coalition government. They were able to replace vast swaths of existing officers with SA and SS men, and they ordered the police to use firearms against communists, but not on any account to interfere with Nazi riots or demonstrations. The Communist and Social Democrat Parties were suppressed outright, and the Center Party was under constant threat from the brownshirts.
The Nazis had also the infamous Reichstag Fire. Shirer firmly believes that the Nazis themselves set the fire as a false flag operation, though debate on the subject continues to this day. In the immediate aftermath, however, the Fire was attributed to the communists. The event gave the Nazis two benefits. First, it persuaded President von Hindenburg to issue the Reichstag Fire Decree, which authorized the Hitler government to exercise significant authoritarian power. The Decree read in part:
Community Notes

Community Notes is a recurring organization 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 cross between Community Notes and Wikipedia". It most often appears alongside /r/BadMTGCombos, @cremieuxrecuel, @justin_garson.

Reference entry
Community Notes
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.
Companies that care about alignment

Companies that care about alignment is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 05, 2023 and April 05, 2023. The archive places it in contexts such as "Companies that care about alignment might race to reach that point". It most often appears alongside AI, Alan Turing, America.

Mention count
1
Issue count
1
First seen
April 05, 2023
Last seen
April 05, 2023
April 05, 2023 · Original source
First, because if you believe unaligned AI could destroy humanity at some point, it’s important to align AI before it gets to that point. Companies that care about alignment might race to reach that point before companies that don’t care about alignment. Right now this is all academic, because nobody knows how to align AIs. But if someone figured that out, we would want those people to win a race.1
Compassion In World Farming

Compassion In World Farming is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 28, 2023 and November 28, 2023. The archive places it in contexts such as "I’m counting groups like Compassion In World Farming". It most often appears alongside #57, 80,000 Hours, Adam D’Angelo.

Mention count
1
Issue count
1
First seen
November 28, 2023
Last seen
November 28, 2023
November 28, 2023 · Original source
Estimate for number of chickens here. Their numbers add up to 800 million but I am giving EA half-credit because not all organizations involved were EA-affiliated. I’m counting groups like Humane League, Compassion In World Farming, Mercy For Animals, etc as broadly EA-affiliated, and I think it’s generally agreed they’ve been the leaders in these sorts of campaigns.
Competitive Water Fight League

Competitive Water Fight League is a recurring organization 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 "We would like to run an active screen addiction detox in the form of a competitive water fight league". It most often appears alongside 2018, @BendiniUK, @benyeohben.

Mention count
1
Issue count
1
First seen
February 10, 2022
Last seen
February 10, 2022
February 10, 2022 · Original source
#102: Screen Addiction Detox Via Competitive Water Fight League Hi, we’re Michoel and Yitzi, PhD in Neuroscience, BA in Psychology, respectively. We would like to run an active screen addiction detox in the form of a competitive water fight league. The activity would provide a high-adrenaline, physically active, socially collaborative/competitive alternative to ordinary humdrum team sports on the one hand, and sedentary video games on the other. The literature suggests that phone addiction is both extremely pervasive and extremely difficult to address. When interventions do work, it seems to be because they’ve given people engaging activities as a healthy substitute. The water fight league is a novel and relatively-cheap approach that may hold more appeal for children and teenagers who feel no great draw to conventional sports. It would take approximately $3,120 to run a pilot program. If you would like to contribute or discuss, please get in contact: leaguehydro@gmail.com
compounding pharmacy

compounding pharmacy is a recurring organization 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 "at the compounding pharmacy where I work". It most often appears alongside 5α-reductase inhibitor, A Mindful Monkey, ALLO.

Reference entry
compounding pharmacy
Mention count
1
Issue count
1
First seen
March 16, 2022
Last seen
March 16, 2022
March 16, 2022 · Original source
We've been giving progesterone for like 4 decades at the compounding pharmacy where I work, and we've been talking about its metabolism to allopregnanolone for about 20 years.
Concert of Europe

Concert of Europe is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 23, 2021 and March 23, 2021. The archive places it in contexts such as "the various institutions set up to prevent those wars - the Concert of Europe, multilateral alliances, the UN". It most often appears alongside 2008 crisis, A Failure, But Not Of Prediction, Ancient Phoenicia.

Reference entry
Concert of Europe
Mention count
1
Issue count
1
First seen
March 23, 2021
Last seen
March 23, 2021
March 23, 2021 · Original source
This is one reason (among many) Taleb disagrees so strongly with Steven Pinker's contention that war is declining. Pinker's data shows far fewer small wars, but does show that World Wars I and II were very large; he interprets the World Wars as outliers, and notes that since WWII the trend has been excellent. Taleb interprets the constant small wars that used to happen as "controlled burns", and the various institutions set up to prevent those wars - the Concert of Europe, multilateral alliances, the UN - as the same sort of dangerous volatility-buffering you get from a corporate job or a government bailout. It ensures fewer small wars - until the system gets overwhelmed, and you get a giant one. As long as NATO is intact, there's no risk of some dumb war between France and Britain over fishing rights; and as long as the Warsaw Pact is in place, there's no risk of Poland and Ukraine scuffling over borders. The cost is the risk of World War III between NATO and the Warsaw Pact.
Condemnr

Condemnr is a recurring organization 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 "I’m a founder at Condemnr. Maybe you’ve heard of us?"; "if you subscribed to Condemnr, you wouldn’t have to worry about that kind of thing!". It most often appears alongside Armenians at Harvard, barberpole model of fashion, Baron von Ungern-Sternberg.

Reference entry
Condemnr
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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
“Pretty good. I’m a founder at Condemnr. Maybe you’ve heard of us?”
“Lots of people are tripped up by not condemning enough things. Imagine that you want to express discontent with the Trump administration restricting food stamps, but someone points out that it’s pretty suspicious that you condemn food insecurity for white people but you didn’t condemn the famine in Gaza equally hard. So you try condemning the famine in Gaza, and someone points out that it’s pretty suspicious that you condemn starvation when it makes Jews look like the bad guys, but you didn’t condemn the famine in Ethiopia equally hard. So you try condemning the famine in Ethiopia, but then people tell you that’s ‘telescopic altruism’, because you didn’t condemn a murder that happened in your own city. So you try condemning a murder in your own city, but it was a black-on-white murder, and people say that it’s pretty suspicious that you didn’t condemn the latest white-on-black murder equally hard. The only solution is to monitor the news 24-7, condemning each thing as soon as it happens, in exact proportion to how bad it is. But nobody has time for that. So you give us access to your Twitter account and we do it for you. We promise not only to condemn all bad things within one business day of them happening, but to use all the appropriate words. You know those politicians who get in trouble because they condemned “the recent massacre” in vague terms but didn’t use the words “terrorism” or “radical Islam”, or because they said “killed” instead of “murdered”? If they’d used Condemnr, we could have tweeted “We condemn the recent radical Islamic terrorist massacre in Fairtown that murdered nine people #terrorism #radicalislam #murder”, and their PR would be immaculate.”
“Haha, just kidding,” says Caitlin, and smiles. “But if you subscribed to Condemnr, you wouldn’t have to worry about that kind of thing! Hashtag Boko Haram, hashtag rape, hashtag radical Islam.” She sees that a small crowd has gathered around her, and recognizes a face. “Hi Bob! What are you up to these days?”
Confirm Labs

Confirm Labs is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 18, 2025 and June 18, 2025. The archive places it in contexts such as "We rebranded as Confirm Labs". It most often appears alongside 1DaySooner, Aatu Koskensilta, acanthamoeba keratitis.

Reference entry
Confirm Labs
Mention count
1
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1
First seen
June 18, 2025
Last seen
June 18, 2025
June 18, 2025 · Original source
Then GPT-4 came out and shook up our AI timelines, and we hard-pivoted to AI safety and interpretability research. We rebranded as Confirm Labs, and did work on adversarial attacks and interpretability including here, here, here, and here. Then Ben and I worked at Anthropic on the transformer circuits paper. As of a few weeks ago, I have returned to open research
Confirm Solutions

Confirm Solutions is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 04, 2022 and November 04, 2022. The archive places it in contexts such as "Michael Sklar and Confirm Solutions have gotten further funding from FTX". It most often appears alongside 1DaySooner, acanthamoeba keratitis, ACX.

Reference entry
Confirm Solutions
Mention count
1
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1
First seen
November 04, 2022
Last seen
November 04, 2022
November 04, 2022 · Original source
3: Software To Validate New FDA Drug Trial Designs (10/10) Michael Sklar and Confirm Solutions have gotten further funding from FTX and now have 2-3 people working full-time on the project. They are building new statistical techniques and software to help regulators quickly assess designs for clinical trials. Here is a recent conference poster on the methods. They have written proof-of-concept code and are writing a white paper to show regulators and pharma companies. They also claim to have developed software that has "sped up their simulations for some standard Bayesian trial designs by a factor of about 1 million." They are looking for more employees and collaborators; if you’re interested, contact research@confirmsol.org
Congress delegation of Fujian

Congress delegation of Fujian is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 28, 2022 and April 28, 2022. The archive places it in contexts such as "„supposedly the entire Congress delegation of Fujian can talk freely with each other“". It most often appears alongside American system, Axios, Bo Xilai.

Mention count
1
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1
First seen
April 28, 2022
Last seen
April 28, 2022
April 28, 2022 · Original source
China has a weird system of open public comments that happen in stages. I've heard these are pretty genuine. That is, the CCP will say, "We are having a debate on corporate tax policy. No businesspeople will be punished for discussing tax policy for the next fifteen days and will have the chance to present their opinions to decision makers at the end of the period." Then they might have periods for other groups. These are, as far as I can tell, pretty genuine. Unless you go off topic they don't consider critcisim disloyal. Likewise, they have this weird system where Party members have specific people they're allowed to talk with (supposedly) without monitoring so long as its the entire group. So, for example, supposedly the entire Congress delegation of Fujian can talk freely with each other without fear. But notably not with other delegations or in public or in private apart from the group.
Congress Party

Congress Party is a recurring organization 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 RSS and its collection of associated right-wing nationalist parties supported Hindu nationalism plus socialism. Their arch-enemy, the center-left-to-confused-mishmash Congress Party, supported secularism plus socialism"; "The Congress Party ruled India essentially as a socialist one-party state"; "Modi accuses the Congress Party of being the descendants of those Indians". It most often appears alongside Adivasis, affirmative action, Ahmedabad.

Reference entry
Congress Party
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1
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1
First seen
September 14, 2021
Last seen
September 14, 2021
September 14, 2021 · Original source
For thirty years, since its independence, India had been a socialist state. Not the cool kind of socialist where you hold May Day parades and build ten zillion steel mills. The boring kind of socialist where the government makes you get lots of permits, then taxes you really heavily, and nothing really ever gets done. "Even today the Representation of the People Act requires all Indian political parties to pledge allegiance not only to the Constitution but also to socialism." The RSS and its collection of associated right-wing nationalist parties supported Hindu nationalism plus socialism. Their arch-enemy, the center-left-to-confused-mishmash Congress Party, supported secularism plus socialism. Non-socialism was off the table.
The Congress Party ruled India essentially as a socialist one-party state from its independence in 1947 to 1977, and then again with brief interruptions until 1996. To hear Modi tell it, they're the essence of everything corrupt, cronyist, colonialist, dynastic, and dictatorial.
Modi accuses the Congress Party of being the descendants of those Indians who did well under British colonialism, liked British colonialism a little too much, and basically Europeanized - including a European-style semi-racist contempt for ordinary Indians. They're the kind of people who would happily force-sterilize eight milion of their countrymen because Western powers called India "backwards" for having too high population growth. The sort of people who would declare an Emergency dictatorship, happily kill or imprison hundreds of thousands of Indians without moral compunction, then immediately back down when Western media said they looked bad. They dominate the media, academia, and NGOs (all of which Modi accuses of being sycophantic and complicit in Emergency atrocities and everything else bad that Congress has ever done, while coming up with ways to make the most neutral actions by Congress' opponents look like dastardly acts of villainy). Their policies, insofar as they have any, involve whatever forms of socialism don't really help the poor but do ensure that anything that anyone wants to do requires permission from elites first, eg the "License Raj". According to Modi, the Congress Party hates the average Indian and the average Indian hates them right back. They survived as a democratic party by preventing any real opposition from forming, plus using their media connections to spread fear and division among people, plus occasionally just declaring martial law and imprisoning anyone they didn't like.
Congressional Budget Office

Congressional Budget Office is a recurring organization 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 "(5) https://www.cbo.gov/publication/44088". It most often appears alongside 1955, 4chan, AARP.

Mention count
1
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1
First seen
December 31, 2025
Last seen
December 31, 2025
December 31, 2025 · Original source
...doubles. I stop buying beef and start buying chicken. CPI measures as if I still buy 4 pounds of beef. Chained CPI tries to capture my change to chicken, which is hard. (5) https://www.cbo.gov/publication/44088 (6) https://sites.psu.edu/inflation/ (7) Balaji on the Fiat Crisis Okay, this one I’ll leave to the economists. 7: Comments On Vibes … Fluorescent Kneepads brings up an...
Congressional Reform Project

Congressional Reform Project is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 11, 2026 and March 11, 2026. The archive places it in contexts such as "The Congressional Reform Project has another snazzy website with such bold proposals". It most often appears alongside Atlantic, Bill of Rights, CAA.

Mention count
1
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1
First seen
March 11, 2026
Last seen
March 11, 2026
March 11, 2026 · Original source
What’s the solution? Many have been proposed, some with very snazzy websites. FairVote thinks that ranked choice voting and proportional representation will solve it. The Congressional Reform Project has another snazzy website with such bold proposals as “Increase the opportunity for Members to form relationships across party lines, including by bipartisan issues conferences.” There are more think tanks. They want to enlarge the House by a few hundred members, switch to a biennial budget system, spend more on Congressional staffers, and introduce term limits, among many other suggestions.
Congressional Republicans

Congressional Republicans is a recurring organization 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 "Congressional Republicans worry that if all fifty states pass different AI bills". It most often appears alongside 767 AD, @Scientific_Bird, ACX.

Mention count
1
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1
First seen
October 30, 2025
Last seen
October 30, 2025
October 30, 2025 · Original source
40: Dean Ball proposes an AI pre-emption deal. Congressional Republicans worry that if all fifty states pass different AI bills, then there will be so many regulations that it’s near-impossible for AI companies to follow them all. They and Dean (a former White House policy advisor) have proposed federal preemption, where Congress bans states from regulating the industry and instead regulates it directly from DC. Ted Cruz tried to pass an AI preemption bill in June. But many people suspected that Congress would ban states from regulating AI, not regulate AI itself, and leave the field totally unregulated - so a combination of pro-regulation Democrats and anti-big-tech Republicans defeated the bill. If the pre-emptionists try again, their strategy will be to peel off some groups with pet issues from the anti-preemption coalition, promising them concessions (either that Congress will take their pet issue seriously, or that they’ll carve out an exception to the preemption where states can still regulate on their pet issue) to cajole them into switching sides. AI safety is a plausible beneficiary of such bargaining, given that the Republicans’ real enmity is towards other groups with more “woke” concerns. I think this is the context for Dean’s proposal - a potential draft of a preemption bill that tries to peel off AI safety people as a favored bargaining partner. And Anton Leicht argues that safetyists should take Dean’s preemption deal. Miles Brundage says (X) he “would like to see something non-trivially stronger, esp. around third-party auditing...but think his basic line of thinking is good.”
Connecticut State Senate

Connecticut State Senate is a recurring organization 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 "cancel the day’s meeting of the Connecticut State Senate". It most often appears alongside Abraham Davenport, AI Policy Institute, Arizona.

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1
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1
First seen
December 01, 2023
Last seen
December 01, 2023
December 01, 2023 · Original source
44: New England’s Dark Day. For some reason (probably a wildfire), the day of May 19, 1780 was as black as night. This was back when everyone in New England was religious Puritans, so of course they assumed it was the end times. Judge Abraham Davenport was asked to cancel the day’s meeting of the Connecticut State Senate on the grounds that the apocalypse was happening - but refused, saying that:
Consensus Conference On ADHD

Consensus Conference On ADHD is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 16, 2022 and November 16, 2022. The archive places it in contexts such as "and the the Consensus Conference On ADHD". It most often appears alongside @AutismCapital, Adderall, ADHD.

Mention count
1
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1
First seen
November 16, 2022
Last seen
November 16, 2022
November 16, 2022 · Original source
But “ability to concentrate” is a normally distributed trait, like IQ. We draw a line at some point on the far left of the bell curve and tell the people on the far side that they’ve “got” “the disease” of “ADHD”. This isn’t just me saying this. It’s the neurostructural literature, the the genetics literature, a bunch of other studies, and the the Consensus Conference On ADHD. This doesn’t mean ADHD is “just laziness” or “isn’t biological” – of course it’s biological! Height is biological! But that doesn’t mean the world is divided into two natural categories of “healthy people” and “people who have Height Deficiency Syndrome“. Attention is the same way. Some people really do have poor concentration, they suffer a lot from it, and it’s not their fault. They just don’t form a discrete population […]
Conservative Animal Welfare Foundation

Conservative Animal Welfare Foundation is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 18, 2026 and March 18, 2026. The archive places it in contexts such as "Organizations like the Liberal Gun Club or the Conservative Animal Welfare Foundation". It most often appears alongside #Resistance, Congress, Democratic member of Congress.

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1
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1
First seen
March 18, 2026
Last seen
March 18, 2026
March 18, 2026 · Original source
Don’t demand that a movement expel its conservative members. The most successful movements have both liberal and conservative branches (even if one is much smaller than the other), and use their liberal branch to lobby when liberals are in power and vice versa. Organizations like the Liberal Gun Club or the Conservative Animal Welfare Foundation may not be behemoths that control their party from the shadows, but they can sometimes improve things around the edges through access to policy-makers who wouldn’t meet with the opposition. But this strategy requires that the gun rights movement doesn’t purge all of its liberals, or the animal rights purge all of its conservatives. Even though the purgees might be able to work on their own, they can accomplish more when they stay connected to the side of their movement with orders of magnitude more members, funding, and talent.
conservative party

conservative party is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 08, 2022 and June 08, 2022. The archive places it in contexts such as "Which party has changed more since (let’s say) 1900 - the conservative party, or the progressive party?". It most often appears alongside 538, Abraham Lincoln, Alexandria Ocasio-Cortez.

Reference entry
conservative party
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1
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1
First seen
June 08, 2022
Last seen
June 08, 2022
June 08, 2022 · Original source
Before we get to data, we can think about this based on first principles. Which party has changed more since (let’s say) 1900 - the conservative party, or the progressive party? It’s got to be the progressive party, right? Isn’t that what “conservative” and “progressive” mean?
Constellation

Constellation is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 19, 2025 and May 19, 2025. The archive places it in contexts such as "Constellation is an AI safety coworking space in Berkeley". It most often appears alongside ACX, AI 2027, AI Futures blog.

Reference entry
Constellation
Mention count
1
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1
First seen
May 19, 2025
Last seen
May 19, 2025
May 19, 2025 · Original source
3: Constellation is an AI safety coworking space in Berkeley. They offer a fellowship where you can work at their office for 3-6 months. I’m there sometimes with the AI 2027 team and recommend it as a great place to work and meet people. Applications close June 13.
4: There’s also the Fellowship on AI For Human Reasoning, intended to “help talented researchers and builders start working on AI tools for coordination and epistemics”. Three months, “$25-50K stipend”, and a coworking space in the SF Bay Area (maybe also Constellation, I don’t know). Applications close June 9.
Constituent Assembly

Constituent Assembly is a recurring organization 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 ""In mid-1999, he called for a Constituent Assembly to rewrite the Constitution."". It most often appears alongside America, American conservatives, Belarus.

Reference entry
Constituent Assembly
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1
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1
First seen
November 02, 2023
Last seen
November 02, 2023
November 02, 2023 · Original source
But Chavez was biding his time. In mid-1999, he called for a Constituent Assembly to rewrite the Constitution. Chavez's supporters won 52% of the votes for assembly members, but because Chavez got to set the vote -> seating rules, they got 95% of the seats. The Assembly voted itself the right to remove "corrupt" government officials, which turned out to mean judges opposed to Chavez. It increased presidential power, lengthened presidential terms, made various appointed positions open to election, and eliminated the upper house of the formerly bicameral legislature (it also passed a laundry list of left-wing policy reforms, like giving indigenous peoples guaranteed seats in Congress).
Construction Physics

Construction Physics is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 17, 2025 and January 17, 2025. The archive places it in contexts such as "Brian Potter of Construction Physics". It most often appears alongside @tamaybes, @venturetwins, A16Z.

Reference entry
Construction Physics
Mention count
1
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1
First seen
January 17, 2025
Last seen
January 17, 2025
January 17, 2025 · Original source
46: Why Skyscrapers Became Glass Boxes. Brian Potter of Construction Physics disagrees with Tom Wolfe’s thesis (reviewed by me here) that modern architecture looks bare and boring primarily because artistic tastemakers promoted it as a style; Potter says that while something like this may have happened somewhat, the role of architects was secondary to the role of real estate developers, who were trying to cut costs. Modern skyscrapers cut costs both by directly being cheaper to build (eg save money on ornamentation) and because the walls are thinner (meaning more interior rentable space). Then the usual incentives of organizations to do what everyone else is doing and not rock the boat made stragglers go along. I appreciate Brian's extremely knowledgeable perspective. I also appreciate that he doesn't deny the modern architecture part of the story, since I think it's necessary - otherwise, you would expect very expensive "prestige" buildings like museums/opera houses/cathedrals to keep ornamentation, which isn't what happened. My remaining question for him is how much money is involved - would an ornamented skyscraper cost more like 2% more or more like 20% more? Also, Snav replies to the same post.
contact@cspicenter.org

contact@cspicenter.org is a recurring organization 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 "If you’re interested in helping, email me at contact@cspicenter.org". It most often appears alongside 2018, @BendiniUK, @benyeohben.

Reference entry
contact@cspicenter.org
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1
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1
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February 10, 2022
Last seen
February 10, 2022
February 10, 2022 · Original source
#76: Richard Hanania’s Think Tank I’m Richard Hanania, and I’m seeking funding for my think tank, The Center for the Study of Partisanship and Ideology (CSPI). We believe that scientific stagnation, identity politics, and widespread risk aversion didn’t come out of nowhere. They’re the result of bad policies and practices – bureaucratization, politicization, and credentialism – that have infected our institutions and spilled over into the larger culture. CSPI is bringing these dynamics to the attention of scientists, intellectuals, and politicians, emboldening them to take steps to reform, deregulate, or defund stagnant institutions. Over the last year, our researchers have had a large impact on the discourse surrounding several important issues. Philippe Lemoine helped discredit the public health consensus surrounding COVID and showed lockdowns and other non-pharmaceutical interventions to not be worth the costs. Eric Kaufmann documented political intolerance in academia and worked with the British government to secure enhanced free speech rights for academics. My own work has demonstrated that wokeness is largely the product of civil rights law and the HR bureaucracy that enforces it. We’re seeking additional funding so that we can hire more research fellows and distribute more grants, expanding our influence in the policy space to fight back against failing institutions. If you’re interested in helping, email me at contact@cspicenter.org. To learn more, visit our website at https://cspicenter.org.
Continuum Biosciences

Continuum Biosciences is a recurring organization 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 "Everyone involved works for Continuum Biosciences, an ambitious-looking biotech startup". It most often appears alongside 1938 FDA, 2,4-dinitrophenol, 2,4-dinitrophenol.

Reference entry
Continuum Biosciences
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1
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1
First seen
March 02, 2021
Last seen
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.
Cooperative AI Foundation

Cooperative AI Foundation is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 20, 2021 and May 20, 2021. The archive places it in contexts such as "Dario Amodei is now working with a new nonprofit called Cooperative AI Foundation"; "nonprofit called Cooperative AI Foundation". It most often appears alongside 5D Chess With Multiverse Time Travel, AI X-Risk Research Podcast, Alignment Research Center.

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1
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1
First seen
May 20, 2021
Last seen
May 20, 2021
May 20, 2021 · Original source
35: Recent news in local AI alignment research space: most of OpenAI’s top alignment researchers, including Dario Amodei, Chris Olah, Jack Clark, and Paul Christano, left en masse for poorly-understood reasons (see speculation here). Dario Amodei is now working with a new nonprofit called Cooperative AI Foundation. Paul Christiano will be founding his own nonprofit, the Alignment Research Center (conflict of interest notice: I know Paul and think he is generally great); see also his ask-me-anything thread on Less Wrong here. Unrelatedly, local secretive AI alignment research group MIRI (Machine Intelligence Research Institute) is leaving the Bay Area for some small town with affordable land prices where they can maybe build a campus (they’re still trying to decide exactly where).
Cooperative-Individualism.org

Cooperative-Individualism.org is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 10, 2021 and December 10, 2021. The archive places it in contexts such as "posted to Cooperative-Individualism.org , an old school Georgist site". It most often appears alongside A. R. Hutchinson, ATCOR theory, Australia.

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1
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1
First seen
December 10, 2021
Last seen
December 10, 2021
December 10, 2021 · Original source
The source he cites is Donald Hagman's 1965 book The Single Tax and Land Use Planning: Henry George Updated, which I can find cited in a bunch of places but can't actually seem to locate. The closest I can get is this 1978 article, also by Hagman, posted to Cooperative-Individualism.org, an old school Georgist site. There, Hagman says that when the income tax was first introduced in New Zealand in the 1890's, Land Value Tax was responsible for 75.7% of the combined tax yield of land + income taxes, but over the course of the next century that figure dropped all the way to 0.5% in 1965 and 0.3% in 1970 (note the placement of the decimal point).
Okay, let's see Grosskopf and Johnson (1982):
Coordinated Care Management System

Coordinated Care Management System is a recurring organization 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 "identified by the Coordinated Care Management System (CCMS)". It most often appears alongside A History Of Mankind, ACS, Alexander Turok.

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1
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1
First seen
June 29, 2022
Last seen
June 29, 2022
June 29, 2022 · Original source
"Through an in-depth data analysis, conducted in collaboration with the DPH Whole Person Care team, the Mental Health Reform team found that approximately 18,000 adults experienced homelessness in San Francisco in fiscal year 2018-19. These individuals were identified by the Coordinated Care Management System (CCMS), a DPH-operated system integrating 15 separate databases from DPH, HSH and the Human Services Agency (HSA). CCMS defines people as experiencing homelessness in the fiscal year if they either: 1) utilize a City service that indicates housing instability, for example, a City shelter, or 2) self-report homelessness while accessing health care services.
Using the CCMS-defined 18,000 people experiencing homelessness as the base, the Mental Health Reform team analyzed the population’s diagnostic epidemiology to understand the associated burden of behavioral health issues. The team found nearly 4,000 adults experiencing homelessness who also suffer with cooccurring mental health and substance use disorders. Specifically, in addition to homelessness, this group of 4,000 has a history of both psychosis and substance use disorder."
Shellenberger I believe makes the mistake of using the one-point-in-time number (8035) as his denominator as opposed to the CCMS number (18,000), which the authors use in their report.
COP

COP is a recurring organization 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 "the international group for pursuing climate justice is called COP". It most often appears alongside 1984, Amartya Sen, Apollo Mojave.

Reference entry
COP
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1
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1
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March 16, 2022
Last seen
March 16, 2022
March 16, 2022 · Original source
...s a coincidence people are talking about “climate justice” at the same time there are 311,000 Google hits for “climate villains”: Slightly edited to avoid repeats. Also, the international group for pursuing climate justice is called COP , and this is not a coincidence because nothing is ever a coincidence. You can’t “help the economy” or “save the poor” merely by harming rich people. Can you get “econom...
CORDA Democracy Fellowship

CORDA Democracy Fellowship is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 23, 2026 and March 23, 2026. The archive places it in contexts such as "The CORDA Democracy Fellowship asks me to signal-boost them". It most often appears alongside ACX, AI:FAR, ETH.

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1
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1
First seen
March 23, 2026
Last seen
March 23, 2026
March 23, 2026 · Original source
2: The CORDA Democracy Fellowship asks me to signal-boost them. They are:
Cordoba Hospital

Cordoba Hospital is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 06, 2021 and April 06, 2021. The archive places it in contexts such as "there wasn't malfeasance involved. But that's only of interest to the Cordoba Hospital HR department". It most often appears alongside Ashley Yakeley, Cordoba, COVID-19.

Reference entry
Cordoba Hospital
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1
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1
First seen
April 06, 2021
Last seen
April 06, 2021
April 06, 2021 · Original source
Or to put it another way - perhaps correcting for multiple comparisons proves that nobody screwed up the randomization of this study; there wasn't malfeasance involved. But that's only of interest to the Cordoba Hospital HR department when deciding whether to fire the investigators. If you care about whether Vitamin D treats COVID-19, it matters a lot that the competently randomized, non-screwed up study still coincidentally happened to end up with a big difference between the two groups. It could have caused the difference in outcome.
core school

core school is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 27, 2025 and June 27, 2025. The archive places it in contexts such as "Every Alpha 'flavor' – the core school, the home school, the Gifted School, the sports school". It most often appears alongside 10,000 hour rule, 2 Hour Learning, Inc, 2-hour Learning.

Reference entry
core school
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1
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1
First seen
June 27, 2025
Last seen
June 27, 2025
June 27, 2025 · Original source
The school itself (guides, building, day care) Almost all the discourse about Alpha is about the 2-hour learning program, and that is what I want to dive into most in this section, but I will also touch on the afternoon program (which I think is important). The incentive system – a very important, undiscussed part of the secret sauce – will get its own section in Part Four. The Two-Hour Platform Every Alpha “flavor” – the core school, the home school, the Gifted School, the sports school – uses the same 2-hour learning platform. We drop our kids off around 8:30am. After a morning kick-off (some sort of group activity) they put on (optional) headphones, find a place to work (the school is a bit like a start-up office), and log in to their personal 2-hour learning platform. The platform informs each student what their specific required lessons are for the day (usually between 8-12 lessons). Those “required” lessons are called “minimums” and the kids talk about it that way: “Did you hit your minimums?”
Check Chart Time Workshops were the “life skills” program at the original Alpha School. Some of the workshops at the core school have included: Thanksgiving Dinner: The Kinders and 1st graders learned to make a dinner for their parents
Correlates of War

Correlates of War is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 01, 2022 and July 01, 2022. The archive places it in contexts such as "A loose team of political scientists has assembled comprehensive data... The resulting project, with the intentionally clinical name “Correlates of War”". It most often appears alongside 1793, 1821, 1847.

Reference entry
Correlates of War
Mention count
1
Issue count
1
First seen
July 01, 2022
Last seen
July 01, 2022
July 01, 2022 · Original source
The US keeps starting or engaging in wars, like in Libya, Afghanistan, and Iraq. I will briefly summarize the 3 major sections of the book and how they tackle the first five claims. Section 1: The Old World Order This section refutes the claim that outlawry of war wasn't actually a significant change for anyone at the time. To do so, it covers the history of the international laws of war as described by Hugo Grotius in a set of books titled The Law of War and Peace, including how he came to write it, what the laws were, and how they were used and understood. In this section, H&S work to fully immerse us in the laws of war before the Peace Pact, and the ways that people understood war as a result. I’ve already included a number of things about this up above, so I’ll just put in a few interesting notes here, and if you want more persuasion that people viewed war differently, I’d suggest you pick up the book. There is lots of historical evidence that attitudes toward war before the Peace Pact were not like attitudes toward war today, that people - lawyers, diplomats, sovereigns, and citizens - believed it to be normal and legal, and frequently justified. Conquest in response to debts or offenses was one of the primary motivators of war in the period ruled by the Old World Order (generally, from some time before 1625 when Grotius wrote the rules down to 1928, when the Peace Pact was signed), though H&S also document some of the weirder ones, like a King who declared that they had the right to wage war against another because the other King stole his wife. But because Grotius had declared that no one outside the belligerents could determine whose side was just without violating neutrality, the reasons for war were largely whatever Monarchs could get away, which ran the gamut. Perhaps because it was fashionable, perhaps to convince their citizenry of their rightness, Monarchs paid handsomely for famous thinkers to write manifestos explaining why they were going to war, and other Monarchs and the citizenry generally accepted these reasons. It would be like if Putin had called up Google co-founder Sergey Brin and asked him to write out why Russia had the right to conquer Ukraine, and then everyone else shrugged and decided, sure, that sounds reasonable. Heads of state enlisted esteemed writers and scholars as well as experienced lawyers to draft [war manifestos]. The English military and political leader Oliver Cromwell commissioned John Milton, the great epic poet, to write A Manifesto of the Lord Protector of the Commonwealth in 1655 when he ordered the invasion of the Spanish possessions in the Caribbean. In 1703, the Holy Roman Emperor Leopold I employed Gottfried Leibniz, the rationalist philosopher, co-inventor of calculus, and a trained lawyer, to compose the Manifesto for the Defense of the Rights of Charles III, which defended the empire’s involvement in the War of the Spanish Succession. Commodore Perry arrived in Japan in 1853 and returned for real the next year. Because they were so confused about how the laws of war were supposed to work, Japan proceeded to send Nishi Amane to the Netherlands to study the Law of War and Peace, and twenty years later, in 1875, Japan conquered Korea. Their logic for doing so was that they were afraid Europe or China would get there first. The world recognized their conquest at the time, though after WWII they were made to give it up. Korea was alluring prey for aggressive Western nations. As Nishi Amane [the scholar who brought the Grotian rules to Japan] would later explain, defending one’s borders “is like riding in a third-class train; at first there is adequate space but as more passengers enter there is no place for them to sit. The logic of necessity requires the people to plant both feet firmly and expand their elbows into any opening that may occur for, unless this is done, others will close the opening. (Chapter 6) Section 2: The Transformation Period Recall our list of counterclaims, #s 2 and 3. 2. Outlawry wasn't taken seriously at the time by the signatories - that it was just feel-good propaganda. 3. World War II proves that it failed, so it wasn't important. This section tells the story of how the Peace Pact came into existence, including how influential it was on the thinkers of the time. Throughout the 1930s and 40s, thinkers and diplomats attempted to turn the Peace Pact into practice, and then, when World War II demonstrated that they needed significantly more teeth to make the Peace Pact real, created the United Nations and other international institutions dedicated to supporting the Pact’s goals. At the time, they viewed World War II as a sign that they hadn’t gotten the right combination of institutions to make the Peace Pact succeed, not that it wasn’t important. This was a classic situation of needing More Dakka and they did, indeed, keep adding more until it worked. In an account composed more than a decade later, Jackson recounted that this view of the Pact was shared by the president and his inner circle. The Peace Pact, he reported, “left no vestige of legal right for [a state] to resort to a war of aggression. From the beginning, Roosevelt, Hull, Welles, Stimson and I had been in agreement that Hitler’s war . . . was an illegal one, and that other powers were under no obligation to remain indifferent. (Chapter 11) There is some counter-evidence in support of #2, from the side of the Japanese at least. Japan, for example, did not think that it had renounced the rules of the Old World Order on August 27, 1928. Its signing of the “No-War Pact,” as the Paris Peace Pact was known in Japan, was regarded as a diplomatic gesture, a noble proclamation affirming the aspiration of all civilized nations to seek peace. Indeed, Japanese officials considered it a sign of how far their nation had come that it was included among the fifteen countries at the grand ceremony in Paris. (Chapter 7) But at least on the Allies side, they had intended it seriously, and as World War II went on, that intention redoubled. Sumner Welles, Undersecretary of State during World War II, was assigned by Roosevelt to create a plan for peace after the war. What he and James Shotwell authored was effectively an outline of the United Nations, and they put the Peace Pact at the very center of it. Shotwell was far from subtle about his effort to treat the Pact as a starting point. He placed the Pact at the start of his preliminary draft. Article 1 repeated the Pact verbatim. Article 2 provided that “[t]he United Nations, in order to strengthen and safeguard the peace of nations as set forth in the General Pact for the Renunciation of war, agree to cooperate in the establishment of the necessary instrumentalities for its effective maintenance.” What followed was an outline of nearly every essential institutional component of the modern-day United Nations. Ten days later he circulated a more detailed draft, now entitled “Provisional Outline of International Organization.” (Chapter 8) It wasn't just the United Nations. NATO was built off of the Atlantic Charter, and it was also designed to reinforce the Peace Pact. This is why it's reasonably accurate to describe it as a defensive alliance. The [first draft of the Atlantic Charter] was a remarkable document. It began by restating the principles of the Stimson Doctrine—there would be no conquest; the two countries would “seek no aggrandizement, territorial or other.” Moreover, there would be “no territorial changes that do not accord with the freely expressed wishes of the peoples concerned.” The Charter looked ahead to a time “after the final destruction of the Nazi tyranny”—a remarkable statement for a neutral in the war—and declared the two states’ “hope to see established a peace which will afford to all nations the means of dwelling in safety within their own boundaries. (Chapter 8) This section brings to bear quotes from leaders at the time showing how important they considered the outlawry of war, how they viewed it as changing the world, but also how unprepared they were for how to react to countries choosing to ignore the Pact. Most importantly, they show how the Allies were strongly motivated to fight World War II specifically to preserve and expand the Pact, to make the world safe for peace. Unfortunately, then, as now, Russia/the Soviet Union did not quite live up to the ideals that the Allies generally advocated for. The Soviet Union took territory after World War II, the only one of the Allies to do so. The only ally to gain any significant territory after the war was the Soviet Union. More than twenty million of the nation’s citizens had died in the course of the war, and Stalin insisted on several territorial gains as the price of peace—many, but not all, of them in areas previously contested. … These concessions to Stalin were seen by the other Allied powers as regrettable deviations from accepted law, not precedents to be followed in the future. (Chapter 13) To be fair, we are talking about Josef Stalin, here. Who’s surprised? Section 3: The New World Order Recall our list of counterclaims, #s 4 and 5. 4. The world isn't more peaceful post outlawry. 5. Any increase in peace since World War II is due to democracies, nuclear weapons, or other reasons, and not the Peace Pact. H&S walk through the best academic evidence we have of whether the world is more peaceful today than it was in the period from 1816 (when our data collection starts being decent) to the Peace Pact. They then spend some time discussing why the evidence better supports the Peace Pact than other causes. In particular, H&S highlight that only since the Peace Pact have countries been denied territorial gains from their conquests. There's a lot of detail in there. Here's just a taste of it. A loose team of political scientists has assembled comprehensive data to help them study war. The resulting project, with the intentionally clinical name “Correlates of War,” hosts datasets on everything from “militarized interstate disputes” to “world religion data” to “bilateral trade.” Most relevant here, it includes extensive data on “territorial change”—a record of every single territorial exchange between states from 1816 to 2014, totaling over eight hundred entries. What do our 254 cases of territorial change tell us? They tell us something that is at once striking and surprising: Conquest, once common, has nearly disappeared. Even more unexpected, the switch point is that now familiar year when the world came together to outlaw war, 1928. From the time the data start in 1816 until the Peace Pact opened for signature in 1928, there was, on average, approximately one conquest every ten months (1.21 conquests per year). Put another way, the average state during this period had a 1.33 percent chance of being the victim of conquest in any given year. Those may seem like pretty good odds. They are not: A state with a 1.33 percent annual chance of conquest can expect to lose territory in a conquest once in an ordinary human lifetime. After 1948, the chance an average state would suffer a conquest fell from once in a lifetime to once or twice a millennium. (Chapter 13) The US wars in Afghanistan, Iraq, and Libya One disappointment I have is that H&S do not spend much time discussing the US wars of the last two decades. The book was published in 2017, so there’s really no excuse for this. Even counting them, their claim that wars since the Peace Pact have been fewer and less world-changing than before the Peace Pact still holds up, but since they don’t directly discuss the most notable wars of the last two decades, they leave a significant hole in their argument. I can imagine defenses that they would make, but they should have made them. They mostly refer to these conflicts either as not a conquest (since the US isn’t officially running those places now) or as a side effect of the Peace Pact in allowing failed states (See Addendum 1 for more on that) More recently, the United States invaded Iraq in 2003, toppled Sadaam Hussein, and installed the Coalition Provisional Authority to govern the country. But what’s most notable about these “nonconquests” is how ineffective and unstable they usually are. Exerting influence indirectly is inefficient and expensive. (Chapter 13) And in 2015 alone, high-fatality civil wars continued in Nigeria, South Sudan, Yemen, Syria, Iraq, Afghanistan, Pakistan, Somalia, and Ukraine. Why, if war has been outlawed, is there still so much conflict? The answer is that these conflicts are not prohibited by the Pact. Indeed, they are the predictable consequences of it … the prohibition on the use of force by one state against the territory of another has allowed two sources of conflict to simmer… within [states]. (Chapter 15) The broader intellectual history of war Reading The Internationalists led me to want to read a broader intellectual history of war. H&S include some comments that hint at it, for example describing the Principle of Distinction and other agreements made about how to behave during war. Fortunately for the civilians of Europe, the biblical model of war was finally repudiated. By the middle of the eighteenth century, European armies had come to recognize a “Principle of Distinction,” the doctrine central to modern humanitarian law, which distinguishes between soldiers and civilians and protects the latter from the former. The Principle of Distinction was the first curtailment of Grotius’s blanket immunity for those waging war. In the next century, it was followed by a flood of new legal regulations placing stricter controls on a soldier’s license to kill. International treaties protected the wounded and medical personnel (First Geneva Convention, 1864) prohibited the use of fragmenting, explosive, and incendiary small arms ammunition (St. Petersburg Declaration, 1874) banned explosives from balloons, asphyxiating gas, and dum-dum bullets (First Hague Convention, 1899) and proscribed pillage, the execution of surrendering soldiers and prisoners of war, and forcing civilians to swear an allegiance to a foreign power (Second Hague Convention, 1907). (Chapter 3) But the history of this and other pre-Peace Pact intellectual history of war is thin within the text, as the point H&S are chasing is specific to the Peace Pact's relevance in history, not the broader history of war. Some of my favorite books are books that tie together aspects of history across wide gulfs, which The Internationalists succeeds at. It’s rare and delightful to see how a piratical ship capture by the Dutch in the 16th century ties together with the opening of Japan, the US battles with Mexico, and finally, the creation of the United Nations. H&S’s perspective is that the Peace Pact marks a turning point, and one that should not be forgotten. It’s also clear that it marks a capstone on a long history of small changes that are also, themselves, interesting battles in the long-running war to make the world less intolerable. In the end, they identify four key changes in the intellectual landscape, with Lauterpacht’s fingers in nearly all of them. Neutrality no longer requires impartiality. States can help those they view as victims.
Cosm

Cosm is a recurring organization 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 company called Cosm has raised $250 million to build immersive sports experiences". It most often appears alongside /r/BadMTGCombos, @cremieuxrecuel, @justin_garson.

Reference entry
Cosm
Mention count
1
Issue count
1
First seen
November 01, 2024
Last seen
November 01, 2024
November 01, 2024 · Original source
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.
CosmicNootropic

CosmicNootropic is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 28, 2021 and April 28, 2021. The archive places it in contexts such as "3 recs: CosmicNootropic". It most often appears alongside 2020 SSC nootropics survey, 852, BuyModa.

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CosmicNootropic
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April 28, 2021
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April 28, 2021
April 28, 2021 · Original source
3 recs: ModafinilXL, CosmicNootropic 4 recs: Liftmode 5 recs: Eufinil 6 recs: Science.bio 7 recs: BuyModa, LiftMode 48 recs: Nootropics Depot
Cosmos

Cosmos is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 19, 2025 and May 19, 2025. The archive places it in contexts such as "FIRE and Cosmos are offering fast grants". It most often appears alongside ACX, AI 2027, AI Futures blog.

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Cosmos
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May 19, 2025
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May 19, 2025
May 19, 2025 · Original source
5: …and also, FIRE and Cosmos are offering fast grants (total pot $1 million, expected size per grant $1,000 - $10,000 in cash + compute) to projects on how “AI can empower open inquiry, not suppress it”.
Council of Christian Colleges

Council of Christian Colleges is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 22, 2025 and May 22, 2025. The archive places it in contexts such as "a typical cohort of Mercatus regrant recipients , including the Council of Christian Colleges". It most often appears alongside Burkina Faso, Cowen, George Mason University.

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May 22, 2025
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May 22, 2025
May 22, 2025 · Original source
Or maybe he’s spooked by the admittedly-weird-and-incestuous world of charities that regrant money to other charities? I normally wouldn’t begrudge someone for being unnerved by this. But Cowen is the director of a charity that regrants money to other charities! Here is a typical cohort of Mercatus regrant recipients, including the Council of Christian Colleges, the NC Leadership Forum, and “Vibecamp LLC”.
Council of Europe

Council of Europe is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 03, 2023 and August 03, 2023. The archive places it in contexts such as "calling into question Russia’s willingness to move towards European standards for democratic elections". It most often appears alongside Anatoly Sobchak, Antonio Russo, Artyom Borovik.

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Council of Europe
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August 03, 2023
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August 03, 2023
August 03, 2023 · Original source
Seen on satirical conservative website Babylon Bee. This was exactly what happened with the Volgodonsk apartment bombing. 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. The plan worked. Putin won re-election handily. By the time people started questioning the official story, his power was already secure. The questioners faced harassment - typical “warning shots” would be burglaries of their houses with all the valuables left intact, or getting beaten up by random thugs while they were out walking, or being accused of a series of crimes - tax evasion, but if they proved themselves innocent of that, then it was taking bribes, and if they proved themselves innocent of that too, then it was failing to register their businesses correctly. Soon media oligarchs faced the same treatment, and either fled the country or handed their newspapers and TV channels over to the state. Boris Berezovsky, the oligarch who had originally helped put Putin in power, kept his own TV station until 2003, when the Russian submarine Kursk sank and Putin faced criticism for bungling the rescue. Putin summoned Berezovsky, the former kingmaker and the man still in charge of Channel One, and demanded that the oligarch hand over his shares in the television company. “I said no, in the presence of [chief of stff] Voloshin,” Berezovsky told me. “So Putin changed his tone of voice then and said, ‘See you later, then, Boris Abramovich.' and got up to leave. And I said, “Volodya [nickname for Vladimir], this is goodbye.’ We ended on this note, full of pathos […] Within days, [Berezovsky] had left for France, then moved on to Great Britain, joining his former [business] rival Gusinsky in political exile. Soon enough, there was a awarrant out for his arrest in Russia and he had surrendered his shares of Channel One. Over the next few years, Putin centralized authority further. He got Parliament to agree to constitutional changes where governors served at his whim, and members of Parliament were elected by governors. “The only official in the Russian Federation directly elected by the people was the President.” Then he made it clear that governors who kept his favor would keep their jobs, and vice versa. He developed an entire colorful vocabulary for threatening people, moving beyond traditional standbys like “Nice house you’ve got there, shame if something were to happen to it” into new realms of intimidation. A Prime Minister who quit after Putin arrested one too many media tycoon was given the parting words “If you ever have a problem with the tax police, you may ask for help, but please come to me personally.” An urban legend says that leading dissident Marina Salye received a New Year’s postcard from Putin: “I wish you a Happy New Year and the health to enjoy it.” By the time the next election came around in 2004, the vote counts were clearly fake. Gessen doubts Putin even had to give a direct order to falsify them; everyone was so desperate for his goodwill that they did so all on their own. The problem was less that honest officials refused to stuff the ballot box, and more that some bureaucrats were so desperate to make sure Putin knew they were complying with his (implied) desires that they faked the vote in extremely obvious ways, without even a nod to keeping it plausible. The Organization for Security and Cooperation In Europe reported “The elections . . . failed to meet many OSCE and Council of Europe commitments, calling into question Russia’s willingness to move towards European standards for democratic elections.” The New York Times reported something entirely different, publishing a condescending but approving editorial titled Russians Inch Toward Democracy. Putin had sunk far enough to earn the same dubious honor as Stalin: praise from the New York Times. IV. The Very-Briefly-Reluctant Culture Warrior One thing missing from this book: anything about religion, nationalism, gays, or the culture wars. This isn’t because Masha Gessen doesn’t care about these things: when the book was written, they self-described as “the only publicly out gay person in [Russia]”; since then (like everyone else) they have declared themselves nonbinary with they/them pronouns. In an afterword, Gessen remedies this omission. For his first decade, Putin wasn’t too interested in culture war topics; his ideology began and ended with “Russia strong”. But Gessen says that after another rigged election in 2012, people grew tired and started protesting Putin. Putin’s propaganda department made various accusations against the rioters, and one of them - they’re gay - seemed to stick. Putin had stumbled by coincidence onto a narrative that resonated with the Russian people. A few months later, a deliberately provocative punk band called Pussy Riot invaded a cathedral and sung a song whose chorus was “the Lord is shit”. Putin announced he was against this sort of thing, again his popularity soared, and again he took notice. Since then, he’s leaned into various culture-warrior roles that other people have cast upon him - protector of traditional values, leader of the conservative world, something something Eurasianism - without giving many clues how much he believes them vs. considers them useful bulwarks for his own power. Is it true that Putin only leaned into traditional values after 2012? I only looked into this question briefly, and it seems like he was on good terms with the Orthodox Church well before then. But some of this could have just been his native authoritarianism; just as he wanted to consolidate all media and business under his control, he wanted to consolidate all religion, and the Orthodox Church was the natural vehicle for, and a cooperative partner in, doing this. Both shared suspicion of invasive Western religions and Islam; both liked the idea of Russia being united in a top-down structure. God doesn’t necessarily have anything to do with it. V. Could It Happen Here? …is the question we ask at the end of every Dictator Book Club. The Man Without A Face makes it sound like Putin was able to consolidate power and become a dictator because: He led the security services
Council of Georgist Organizations

Council of Georgist Organizations is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 11, 2021 and December 11, 2021. The archive places it in contexts such as "former president of the Council of Georgist Organizations". It most often appears alongside /r/georgism, ACX community, Aggregate Land Rents, Expenditure on Public Goods, and Optimal City Size.

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December 11, 2021
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December 11, 2021
December 11, 2021 · Original source
Some friends suggested I get in touch with Ted Gwartney, former professor of Real Estate Appraisal at Baruch College, New York. He has an MAI in Land & Commercial Appraisal from the Appraisal Institute and is former president of the Council of Georgist Organizations. He has a lot of professional experience as an assessor in British Columbia, Southfield in Michigan, and Hartford, Bridgeport, and Greenwich in Connecticut.
Council on Strategic Risks

Council on Strategic Risks is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 28, 2023 and November 28, 2023. The archive places it in contexts such as "Council on Strategic Risks says Longview gave them a $1.6 million grant". It most often appears alongside #57, 80,000 Hours, Adam D’Angelo.

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November 28, 2023
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November 28, 2023
November 28, 2023 · Original source
Total private funding for nuclear strategy is $40 million. Longview Philanthropy has a nuclear policy fund with two managers, which suggests they must be doing enough granting to justify their salaries, probably something in the seven digits. Council on Strategic Risks says Longview gave them a $1.6 million grant, which backs up “somewhere in the seven digits”. Seven digits would mean somewhere between 2.5% and 25% of all nuclear policy funding.
Covalent

Covalent is a recurring organization 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 "Jorge’s startup, Covalent, uses AI to put these in standard machine-readable format". It most often appears alongside 2023, Aaron Silverbook, ACX Grants.

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Covalent
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October 13, 2025
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October 13, 2025
October 13, 2025 · Original source
Jorge Bastos, $70K, for AI that curates bio datasets. There are exabytes (= 1 billion gigabytes) of high quality biology data; most of it goes unused because it’s not compatible with other datasets or tools. Jorge’s startup, Covalent, uses AI to put these in standard machine-readable format. At the very least, this would save biologists thousands of hours per year; in a best-case scenario, it could bring forward the golden age of AI-assisted biology predicted by people like Dario Amodei.
CoveredCalifornia

CoveredCalifornia is a recurring organization 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 "CoveredCalifornia offered my family of four healthcare". It most often appears alongside 1955, 4chan, AARP.

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CoveredCalifornia
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December 31, 2025
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December 31, 2025
December 31, 2025 · Original source
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
Covid Tracking Data

Covid Tracking Data is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 01, 2023 and February 01, 2023. The archive places it in contexts such as "contol group made of contemporary infected subjects in Australia obtained from published Covid Tracking Data". It most often appears alongside 2006 Ioannidis paper, ACTIV-6, Alexandros.

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Covid Tracking Data
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February 01, 2023
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February 01, 2023
February 01, 2023 · Original source
Carvallo said that zero people in the treatment group of his study got COVID, compared to 58% of people in the control group. This is a pretty implausibly big effect, even by the standards of other pro-ivermectin studies, although I don’t know if anyone else tried the exact same preventative protocol as Carvallo. I think this is a more nuanced story than Alexandros’ version where Buzzfeed just doesn’t know that sometimes studies happen at more than one hospital. Is fraud the best explanation? I think Alexandros thinks of Carvallo as just not keeping very good records, so he doesn’t have raw data, and probably mixed up his numbers a few times or gave false numbers, and didn’t have anything to send his collaborators when they asked. I think this is maybe possible, although it seems suspicious that he falsely said Dr. Lombardo was involved, falsely claimed the hospital involved was doing a different trial, and got very implausible results. I can imagine weird chains of events that would cause all of these things through honest misunderstandings. But they don’t seem like the best explanation. After discussing this with Alexandros, he objects to my use of the term “known fraudster”. Perhaps I should have said “highly credibly suspected fraudster” instead, although in a Bayesian sense nothing can ever be 100% and at some point plausibility shades imperceptibly into knowledge. Still, I feel like my description here was more accurate than Alexandros’, which just mentions the hospital approval issue and says nothing about any of the rest of this in a thousand word subsection about this study in particular. I did err in saying the Carvallo paper was retracted. According to the article: After BuzzFeed News raised questions about how the study’s data was collected and analyzed, a representative from the Journal of Biomedical Research and Clinical Investigation, which published the results, said late Monday, “We will remove the paper temporarily.” A link was removed from the table of contents — but was reinstated by Thursday. The journal’s explanation, provided after this story was published, was that the author “informed us that he has already provided the evidence of his study to the media.” I apologize for the error. Elalfy et al (still disagree with Alexandros) I described this as: As best I can tell, this is some kind of Egyptian trial. It might or might not be an RCT; it says stuff like “Patients were self-allocated to the treatment groups; the first 3 days of the week for the intervention arm while the other 3 days for symptomatic treatment”. Were they self-allocated in the sense that they got to choose? Doesn’t that mean it’s not random? Aren’t there seven days in a week? These are among the many questions that Elalfy et al do not answer for us. The control group (which they seem to think can also be called “the white group”) took zinc, paracetamol, and maybe azithromycin. The intervention group took zinc, nitazoxanide, ribavirin, and ivermectin. There were very large demographic differences between the groups of the sort which make the study unusable […] There is no primary outcome assigned, but viral clearance rates on day seven were 58% in the yellow group compared to 0% in the white group, which I guess is a strong positive result. This table looks very impressive, in terms of the experimental group doing better than the control, except that they don’t specify whether it was before the trial or after it, and at least one online commentator thinks it might have been before, in which case it’s only impressive how thoroughly they failed to randomize their groups. Overall I don’t feel bad throwing this study out. I hope it one day succeeds in returning to its home planet. In the summary post, Alexandros’ entire criticism of my coverage of this trial, one of the seven trials he focuses on as most unfairly covered and uses as the lynchpin of his argument that I am morally culpable for disastrously bad reporting, is: [Elalfy et al] are accused of incompetence for failing to randomize their groups multiple times in Scott’s piece. The paper writes in six separate places that it is not reporting on a randomized trial, amongst them on a diagram that Scott included in his own essay. Hard to imagine how else they could have made it clear. In his full post on this, he goes line by line to point out all the places they say they are non-randomized, pausing to snark about how dumb I am for not noticing each time4. But he never addresses the actual source of my confusion, which is the part of the paper where it says that: Patients were self-allocated to the treatment groups; the first 3 days of the week for the intervention arm while the other 3 days for symptomatic treatment. If this was done as described, it should be an (almost) random trial; patients who come in on Wednesdays shouldn’t systematically differ from patients who come in on Thursdays5. But in fact, it looks (assuming I am understanding a very ambiguous table correctly) like there are very large pre-existing differences between the groups, sufficient to explain the entire result. If they in fact followed their days-of-the-week protocol, and it was random as expected, then I’m misunderstanding the table seeming to show very large differences, and they have indeed found evidence for ivermectin’s efficacy. If they didn’t follow their day-of-the-week protocol and it’s non-random, then maybe I’m understanding the table correctly and their groups had large differences to begin with and the fact that they had large differences at the end of the trial doesn’t demonstrate anything about ivermectin. This is all I was trying to say in the post, and instead of having any opinion on it Alexandros just makes fun of me for saying it. I think our actual crux is that Alexandros thinks a table of big differences between the groups has to be post-treatment (based on how big the differences are), whereas I’m not sure (because it’s unclear in the study, and also because the authors describe what could be a randomization method but also go on and on about how nonrandom they are). This is why I thought it mattered how random it was! Maybe instead of mocking me for this, you can admit it’s an important and relevant question! Ghauri et al (still disagree with Alexandros) I describe this as: Pakistan, 95 patients. Nonrandom; the study compared patients who happened to be given ivermectin (along with hydroxychloroquine and azithromycin) vs. patients who were just given the latter two drugs. There’s some evidence this produced systematic differences between the two groups - for example, patients in the control group were 3x more likely to have had diarrhea (this makes sense; diarrhea is a potential ivermectin side effect, so you probably wouldn’t give it to people already struggling with this problem). Also, the control group was twice as likely to be getting corticosteroids, maybe a marker for illness severity. Primary outcome was what percent of both groups had a fever: on day 7 it was 21% of ivermectin patients vs. 65% of controls, p < 0.001. No other outcomes were reported. I don’t hate this study, but I think the nonrandom assignment (and observed systematic differences) is a pretty fatal flaw. Alexandros notes that these are three differences between experimental/control groups, out of 33 listed characteristics that could have been different. There is approximately a 23% chance (he calculates) that you could get these differences by chance. He accuses me of failing to do a formal Carlisle test - the usual test you would use to determine whether weird differences between randomized groups are because of fraud - instead eyeballing it and getting it wrong. Here I do want to defend myself: I am not accusing Ghauri et al of fraud. In fact, this would be nonsensical: they admit they are assigning patients nonrandomly. Carlisle tests are usually done to show that something about group assignment is impossible (and therefore fraudulent) in a fair random assignment. But these people aren’t claiming to have done a fair random assignment, so I’m not sure what a Carlisle test would prove. My argument is more like: this is nonrandom, therefore we should expect it to be unfair. It is unnecessary, but helpful, to note an actual apparent unfairness - there’s some evidence they gave the ivermectin to less severe patients (as measured by corticosteroid use). Therefore, we can’t necessarily trust this to be a fair trial (which it was never really claiming to be). In the end I kept Ghauri as an okay study, although GMK didn’t so it ended out trashed in the final analysis anyway. I think my thinking was that I never claimed to be only looking at RCTs, so this non-RCT whose between-group-differences confirmed that it was indeed a non-RCT with all the risk of bias that entails, didn’t necessarily need to be ruled out. Still, I don’t think I was wrong to mention this possibility, and I think Alexandros was wrong to suggest that I needed to do extra tests for this to be fair. Borody et al (still disagree with Alexandros) I described this as: Our last paper! …is it a paper? I can’t find it published anywhere. It mostly seems to be on news sites. Doesn’t look peer-reviewed. And it starts with “Note that views expressed in this opinion article are the writer’s personal views”. Whatever. 600 Australians were treated with ivermectin, doxycycline, and zinc. The article compares this to an “equivalent control group” made of “contemporary infected subjects in Australia obtained from published Covid Tracking Data”; this is not how you control group, @#!% you. Then it gets excited about the fact that most patients had better symptoms at the end of the ten-day study period than the beginning (untreated COVID resolves in about ten days). Why are these people wasting my time with this? Let’s move on. Alexandros lists his full concerns here. My summary: Scott is being incredibly disrespectful to the authors, who are in fact a legendary gastroenterologist who invented life-saving h. pylori therapy and a brilliant immunologist who invented a well-regarded bronchitis vaccine (in particular, in describing their control group, I said “this is not how you control group, @#!% you”.
“Synthetic control groups” - ie comparing people in a trial to some previously-known understanding of how a disease progresses - are a standard practice, and basically fine. Borody et al indeed have had amazing careers with many things they can be proud of. But I continue to believe that this paper is not among them. Synthetic control groups are more common in social sciences, but have occasionally been used in pharmacology when it would be unethical or extremely difficult to use a real control group. The most common use case is rare cancers, where it takes years to get enough patients to test a drug and it also seems kind of unethical to delay. Another good thing about rare cancers is that they're pretty discrete; you don't have to worry about things like "well, 90% of leukemias never make it to a doctor anyway, so maybe we're only seeing the serious leukemias" or "these guys counted the leukemias that get dealt with by the local doctors' office, but those other guys counted the leukemias that have to go to the hospital". More important, studies with synthetic control groups usually go above and beyond to justify why their synthetic control group should be a fair comparison to the treatment group. Here's an example, from a paper about a rare leukemia. They start by getting a synthetic control group from a previous randomized controlled trial of leukemia drugs (not the general population!) Then they throw out more than half their patients for not being a good match for the selection criteria of the current study. Then they investigate whether there are significant differences on five important demographic factors, and find a few. Then they re-weight the patients in the historical comaprator study to adjust out the differences between the previous population and the current population. Then they do some analyses to check if they re-weighted everything correctly. Then they apologize profusely for having to use this vastly inferior methodology at all: In special cases when a disease is rare, prognosis is very poor, and there are limited therapeutic options available, single-arm clinical trials may be used as evidence for accelerated drug approvals. Comprehensive evaluation of historical comparator or reference data can provide an additional approach for putting the efficacy of a new therapy into perspective.11, 12 In this study, we applied different statistical methods and sensitivity analyses to evaluate the clinical efficacy of blinatumomab against historical data. Concerns often raised regarding the use of historical comparator data are the influence of potential biases related to selection, misclassification and confounding.12 The requirement of rigorous eligibility criteria in the blinatumomab clinical study—such as Eastern Cooperative Oncology Group status of two or lower and absence of abnormal lab values during screening—may increase the chance of better outcomes in the clinical study than the historical data. While it may be possible to use unadjusted historical data when patient populations are sufficiently similar,27 the disproportionate number of advanced-stage patients in the blinatumomab trial required methods applied to individual-level data to minimize bias. Selection bias was minimized by use of stringent inclusion criteria into the historical data set and by weighting or adjusting for known prognostic factors. In addition, the historical data set represented adult R/R patients who received standard of care (excluding palliative care patients where possible), without any restrictions to any patient subgroups. Residual confounding may still remain and be difficult to control for, particularly in data sets where differences in important prognostic factors are unknown or not measured in one data set. In this study, nearly all known important prognostic factors were adjusted for in the weighted or propensity score analyses. Missing data on key covariates lead to exclusion of some records from the analyses (Figure 1), which may theoretically bias the overall results. However, our examination of records with missing covariates did not identify significant differences by patient demographic characteristics compared with patients who had complete data (data not shown). Misclassification bias was limited by harmonization of patient-level data in the pooled analysis, which employed common data definitions for disease classification and outcomes characterization. Compare this to how the Borody study discusses its synthetic control group: The control data was from contemporary infected subjects in Australia obtained from published Covid Tracking Data. I hesitate to say “they didn’t even say which tracking data”, because in the past I’ve said things like that and just missed it. But I can’t find them saying which tracking data. In Borody et al’s synthetic control group, 70/600 (11.5%) patients required hospitalization. But the US hospitalization rate appears to be about 1% for unvaccinated individuals. So Borody’s synthetic control group got 10x the expected hospitalization rate. This seems very relevant to this study finding that ivermectin decreases hospitalization by 90%! I’m not claiming this is fraudulent, or impossible, or means the study couldn’t have been good. And Borody claim to have used an “equivalent” control group, so maybe there was some adjustment done for this. But this is why we usually use more than one word to describe our control groups! Or use real control groups that don’t ruin your study if you do a finicky adjustment slightly wrong! I feel like these are the kinds of questions Alexandros needs to be asking, instead of just giving a link to a Stat News article about how sometimes synthetic control groups are okay. Also other questions, like “how come this found a 90% decrease in hospitalization and mortality, but lots of other studies found smaller decreases, and the biggest and best studies found none at all?” I know Alexandros’ answers are to find lots of flaws with the biggest and best studies, but these flaws wouldn’t be enough to cover up a 90% cure rate. And if you’re in the business of calling out flaws in studies I genuinely think having your control group be “we used some group of people somewhere in Australia, they had 10x the normal hospitalization rate, we won’t tell you anything else” would be the sort of flaw you would call out! Thomas Borody is a genuinely brilliant gastroenterologist and I am very grateful for his life-saving discoveries. But Elon Musk is a genuinely brilliant engineer and I am very grateful for his low-cost reusable rockets - and this doesn’t mean he never does crazy inexplicable things. Maybe Borody and his collaborators have a point from this study, but I don’t feel like it makes sense as written. If they ever explain what they were doing in more detail and it’s some sort of amazing 4D-chess move that makes total sense, I will apologize to them. Otherwise, stick to inventing amazing life-saving digestive therapies. In response to this section, Alexandros stresses that he is not necessarily saying Borody et al is incorrect or challenging my decision to leave it out. He writes: I will repeat that my strong objection, is that you wrote " this is not how you control group, @#!% you". I therefore pointed to stat news to support my case that, yes, this can indeed be how you control group. That's all. In the article I even noted that this aversion towards disrespect to elders may even be a cultural difference between us. To be clear, if I were making a case for ivermectin, I would not be relying on this study as my starting point. III. Hokey Meta-Analysis Alexandros points out that I used the wrong statistical test when analyzing the overall picture gleaned from this studies. He’s right. The right statistical test would make ivermectin look stronger, without changing the sign of the conclusion. After getting a core group of potentially trustworthy studies, I tried to see whether ivermectin still had a statistically significant positive effect in them. I tried to be honest that I didn’t really know how to do formal meta-analyses: Probably I’m forgetting some reason I can’t just do simple summary statistics to this, but whatever. It is p = 0.15, not significant . . . What happens if I unprincipledly pick whatever I think the most reasonable outcome to use from each study is? . . . Now it’s p = 0.04, seemingly significant I in fact could not do simple summary statistics to this. Alexandros describes the test I should have used, a DerSimonian-Laird test, and applies it to the same data. Now the numbers are p = 0.03 and p < 0.0001. I accept that I was wrong, he is right, and this is more accurate. My original conclusion to this section is that although you couldn’t be absolutely sure from the numbers, eyeballing things it definitely looked like ivermectin had an effect. I then went on to try to explain that effect. With Marinos’ corrections, you can be sure from the numbers, but the rest of the post - an attempt to explain the effect - still stands. IV. Worms Alexandros brings up issues with the Strongyloides hypothesis; Dr. Bitterman graciously responds. I find the issues real enough to lower my credence in the idea, but not to completely rule it out. Even if it is true, I probably overestimated how important it was. My original explanation for the effect was Dr. Avi Bitterman’s theory of Strongyloides hyperinfection. Many people in certain tropical regions are infected with the parasitic worm Strongyloides. Usually a person’s immune system keeps this worm under control, and the parasites cause only limited problems. But under certain situations - especially when people take immune-suppressing corticosteroids - the immune system fails, the worms multiply, and the patient can potentially die of sudden worm overgrowth (“hyperinfection”). Corticosteroids are a common COVID treatment. So plausibly some people in tropical areas fighting COVID are at risk of dying from worm hyperinfection. Ivermectin was originally an anti-parasitic-worm medication before being repurposed to fight COVID, and everyone agrees it is very good at this. So if many people in COVID trials are dying of worm infections, then ivermectin could help them. This would look like ivermectin reducing mortality in COVID trials, and make people wrongly conclude that ivermectin treats COVID. Alexandros responds to this theory here, again I’ll try to summarize: The original Bitterman paper concludes that ivermectin trials show stronger results in high-Strongyloides-prevalence regions. But it mixes prevalence data from two different papers with different methodologies. Correcting for this, the findings no longer clear a formal bar for statistical significance, and don’t really look significant either.
COVID-OUT

COVID-OUT is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 09, 2022 and October 09, 2022. The archive places it in contexts such as "the big COVID drug trials (TOGETHER, ACTIV-6, COVID-OUT)". It most often appears alongside ACTIV-6, Alexandros Marinos, Astralcodexten Com.

Reference entry
COVID-OUT
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1
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1
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October 09, 2022
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October 09, 2022
October 09, 2022 · Original source
3: Alexandros Marinos continues his critique of my ivermectin post, and his broader ivermectin advocacy. I can’t remember if I’ve said this before, but I commit to writing a summary and response within four months of him being done, which as far as I can tell is not yet (yes, four months is a long time, but it’s a long series and I’m really busy this winter). His most recent post argues that the big COVID drug trials (TOGETHER, ACTIV-6, COVID-OUT) haven’t made their data public, and offers to donate $25,000 to a charity of my choice if I can get them to do so. I have no idea how to do this, but I agree that they should; if anyone from these trials wants to get in touch with me and talk about it and I would be interested in hearing what’s going on.
Cowles Commission

Cowles Commission is a recurring organization 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 "economists had to set up a whole commission just to study this particular problem (the Cowles Commission)". It most often appears alongside Alex Poterack, Alexander, America.

Reference entry
Cowles Commission
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1
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1
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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?)
CPAC

CPAC is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 09, 2025 and January 09, 2025. The archive places it in contexts such as "This CPAC article gives the basic story". It most often appears alongside Afghanistan, America, Brad Little.

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CPAC
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1
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1
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January 09, 2025
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January 09, 2025
January 09, 2025 · Original source
Idaho cut their regulatory code by 38% in 2019, and since then it’s only gone down. How did they decrease red tape so fast? They did it through the power of nominative determinism. In that year, they elected a governor named Brad Little. His administration is called the Little Administration. Obviously government had to get smaller. But on a purely exoteric level, what methods did they use to pull this off? This CPAC article gives the basic story: The Little administration instituted sunset provisions that review each regulation every five years and make sure it’s justifiable.
CPC

CPC is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 28, 2022 and April 28, 2022. The archive places it in contexts such as "No one who thought the CPC should not be in power ever wrote in the Southern Weekly". It most often appears alongside American system, Axios, Bo Xilai.

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CPC
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1
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1
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April 28, 2022
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April 28, 2022
April 28, 2022 · Original source
Sure - but the Southern Weekly and others in the Southern stable, while "well-regarded," were never actually good. What has happened is this: factional debate in China used to sometimes happen in the newspapers. It was exciting to read when it happened. Western observers salivated at the access it gave them to current Chinese political thought, which is usually very opaque. But it was always opinion within the current acceptable range of political possibility. No one who thought the CPC should not be in power ever wrote in the Southern Weekly.
CPS

CPS is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between August 21, 2024 and August 21, 2024. The archive places it in contexts such as "CPS should take away their children and put them in more traditional families". It most often appears alongside Agnes Callard, Atlantic, cancel culture.

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CPS
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1
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August 21, 2024
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August 21, 2024
August 21, 2024 · Original source
In fact, let’s expand on these last two. Suppose (getting back to hypotheticals), that the Atlantic publishes something unbelievably offensive. Maybe “Stay-at-home fathers are pathetic failures, and CPS should take away their children and put them in more traditional families”. Thousands of stay-at-home fathers get angry and write in saying they’re cancelling their subscriptions. Millions sign an open letter demanding they apologize, and the Atlantic is hemorrhaging credibility among other journalists and potential sources. The CEO meets with the writer and editor, tells them they’re idiots, and fires them.
CR

CR is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 26, 2022 and October 26, 2022. The archive places it in contexts such as "In 31 products, levels of lead were so high that they exceeded the maximum amount anyone should have in a day, according to CR’s experts". It most often appears alongside American ginseng, apple juice, Ashwagandha.

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CR
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1
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1
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October 26, 2022
Last seen
October 26, 2022
October 26, 2022 · Original source
But I would put this in context - about 33% of spices have heavy metals above safe levels, according to Consumer Reports:
Roughly one-third of the tested products, 40 in total, had high enough levels of arsenic, lead, and cadmium combined, on average, to pose a health concern for children when regularly consumed in typical serving sizes. Most raised concern for adults, too. For two herbs, thyme and oregano, all the products we tested had levels that CR experts say are concerning. In 31 products, levels of lead were so high that they exceeded the maximum amount anyone should have in a day, according to CR’s experts.
Creutzfeldt Jakobins

Creutzfeldt Jakobins is a recurring organization 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 "internet subculture DTM calls 'Creutzfeldt Jakobins' – people who track American CJD cases". It most often appears alongside 1980s, 1989, 1990s.

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Creutzfeldt Jakobins
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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.
Criminal Justice Legal Foundation

Criminal Justice Legal Foundation is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 27, 2024 and November 27, 2024. The archive places it in contexts such as "pro-tough-on-crime nonprofit Criminal Justice Legal Foundation". It most often appears alongside Abrams 2012, ACLU, age-crime curve.

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November 27, 2024
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November 27, 2024
November 27, 2024 · Original source
Berger et al, 2021. Written by a team from the pro-tough-on-crime nonprofit Criminal Justice Legal Foundation. This was well written and tried hard to stay neutral, but I still interpret it as the pro-incarceration faction presenting their side of the case.
Crowdstrike

Crowdstrike is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 01, 2022 and March 01, 2022. The archive places it in contexts such as "he is affiliated with Crowdstrike, which was involved in the Russiagate hoax". It most often appears alongside ACX, Afghan government, Aleppo.

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Crowdstrike
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March 01, 2022
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March 01, 2022
March 01, 2022 · Original source
As I’ve said before, “trust the experts” and “don’t test the experts” are both bad heuristics (see the Substack article and its NYT version). Talking to anti-interventionists about the potential for a Russian invasion throughout January and February, I was struck by how often they would ignore my arguments and instead say things like “this guy has always been right, so I’m going to trust him.” That might be an adequate strategy when you have nothing else to go on, but here we had a lot of evidence relevant to what was likely to happen, including satellite imagery of military movements and reports on the state of diplomatic negotiations. I’ve found one of the most insightful analysts throughout the crisis to be Dmitri Alperovitch. But when I shared one of his tweets with a very intelligent friend of mine, his response was basically “his profile says that he is affiliated with Crowdstrike, which was involved in the Russiagate hoax. How can we believe anything he says?” I can understand the reaction, but it seems like this kind of thinking led many intelligent observers astray.
CRS

CRS is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 29, 2025 and May 29, 2025. The archive places it in contexts such as "Is CRS unusual in its low overhead, maybe because of its Catholic affiliation?"; "giving them to CRS to give grants". It most often appears alongside ACX Grants, ACX subreddit, Africa.

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CRS
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May 29, 2025 · Original source
Let’s consider a typical USAID partner NGO. To avoid accusations of cherry-picking, we’ll take the biggest one: Catholic Relief Services, which operates a series of clinics throughout Africa. USAID gives them about $500 million per year, and they get another $1 billion from other donors.
The 8% number comes from Mercatus’ 990 form here - management + general + fundraising as a percent of total expenses (again, compare to Catholic Relief Services’ 6%).
I keep hearing about how most USAID money goes to rich woke snobs who use it to throw parties celebrating how much better they are than you. But where are these people? Are they hiding in the 6% overhead in Catholic Relief Services? The 3.9% overhead in JHPIEGO? The Ukrainians? The African clinics? I hear a lot about how USAID is funding foreign journalists to be really liberal, but it looks like all “democracy and human rights” grants combined - the category that this would fall into - are 2-5% of the budget (and this category also includes a lot of things like election observers).
Cruise

Cruise is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 13, 2023 and September 13, 2023. The archive places it in contexts such as "Cruise and Waymo have a little training data from their own records". It most often appears alongside Abe Lincoln, AI alignment movement, Ambras.

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Cruise
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September 13, 2023 · Original source
This is the impression I’m getting now reading about Tesla’s self-driving program. It’s banking on the next frontier of self-driving being massive training runs kind of like LLMs. Cruise and Waymo have a little training data from their own records. But Tesla, which has had some kind of halfway self-driving feature for years, recorded all its data, and sent it back to HQ, has the biggest data trove in the world. Musk wasn’t expecting this to happen. But by doing things bigger and faster than anyone else, he must have put himself in a place where something was going to right for him.
Cryonics Institute

Cryonics Institute is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 03, 2024 and June 03, 2024. The archive places it in contexts such as "someone on Facebook says that Cryonics Institute has not confirmed that Paris Hilton is signed up". It most often appears alongside 2740 Telegraph, America, Astralcodexten Com.

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Cryonics Institute
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June 03, 2024 · Original source
2: Comment of the week: why does Britain let submarine commanders launch nukes on their own, when Russia and America have the opposite policy? Also related to the links post: someone on Facebook says that Cryonics Institute has not confirmed that Paris Hilton is signed up, and this might be a false story.
CSET

CSET is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 26, 2025 and May 26, 2025. The archive places it in contexts such as "More AI grants: up to $1 million per project from CSET". It most often appears alongside ACX MEETUP, Aella, AI 2027 team.

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CSET
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May 26, 2025
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May 26, 2025
May 26, 2025 · Original source
4: More AI grants: up to $1 million per project from CSET to study risks from internal deployment of frontier AI models. Submit expressions of interest by 6/30.
CSET Foretell

CSET Foretell is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 25, 2023 and April 25, 2023. The archive places it in contexts such as "forecasting tournaments Metaculus, Good Judgment Project, and CSET Foretell". It most often appears alongside API, Autocast, Conditional Pairs.

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CSET Foretell
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April 25, 2023
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April 25, 2023
  • 23 April 25, 2023
April 25, 2023 · Original source
This is the basic idea behind Zou et al (2022), Forecasting Future World Events With Neural Networks. They create a dataset, Autocast, with 6000 questions from forecasting tournaments Metaculus, Good Judgment Project, and CSET Foretell. Then they ask their AI (a variant of GPT-2) to predict them, given news articles up to some date before the event happened. Here’s their result:
CSIS

CSIS is a recurring organization 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 "donating to the most influential think tanks in Washington (the United Arab Emirates to CSIS)". It most often appears alongside 501(c)(3), 80,000 Hours, 9/11.

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CSIS
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June 24, 2022 · Original source
donating to the most influential think tanks in Washington (the United Arab Emirates to CSIS; Qatar to Brookings Institution);
CU Boulder

CU Boulder is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 17, 2025 and October 17, 2025. The archive places it in contexts such as "Sean just graduated from CU Boulder, where he studied CS and applied math". It most often appears alongside 80,000 Hours, ACX, ACX.

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CU Boulder
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October 17, 2025
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October 17, 2025
October 17, 2025 · Original source
Bishop’s Castle, by Sean Carter. Sean just graduated from CU Boulder, where he studied CS and applied math. He is now freelancing for a year before he starts grad school. He will attend Inkhaven this November. His great loves in life are creation, cats, and compasscraft. He blogs at collisteru.net and hopes to build his own castle someday.
CU-Boulder

CU-Boulder is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 30, 2024 and March 30, 2024. The archive places it in contexts such as "About 8 miles east of CU-Boulder". It most often appears alongside 1111 Brickell Ave, 11841 Wagner St., Culver City, 1970 Port Laurent place, Newport Beach 92660.

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CU-Boulder
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March 30, 2024 · Original source
BOULDER, COLORADO, USA Contact: Josh Sacks Contact Info: josh[dot]sacks[plus]acx[at]gmail[dot]com Time: Saturday, April 20th, 3:00 PM Location: (our house- same as previous meetups)- 9191 Tahoe Ln, Boulder, CO 80301. About 8 miles east of CU-Boulder Coordinates: https://plus.codes/85GP2V96+HV Group Link: https://groups.google.com/g/boulder-acx-ssc Notes: Please RSVP on LessWrong so we can estimate snacks.
Cultivate Labs

Cultivate Labs is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 13, 2024 and May 13, 2024. The archive places it in contexts such as "He gives an honorable exception to Cultivate Labs, which sells prediction market software". It most often appears alongside 17 CFR Part 40, 2024 election, Austin.

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Cultivate Labs
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May 13, 2024
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  • 24 May 13, 2024
May 13, 2024 · Original source
People changed their minds a little over time, but not in a very consistent way that mattered much in the end. What was the “client feedback”? The report says: Client feedback was provided to the Superforecasters on December 21. The client posed questions to the Superforecasters about their assessments up to that date and asked for their reactions to several studies and articles. In the days following the client engagement, the Superforecasters lowered their confidence in the natural zoonosis hypothesis from 73% to 67%, although zoonosis remained the most likely potential cause in their assessment. But following an active engagement with recent genomic studies and historical base rates of zoonotic spillovers, those numbers began to return to earlier levels. January also saw increased attention to the geopolitical context and transparency issues, particularly related to research activities in Wuhan Is this bad? I’m imagining a pro-lab-leak client saying “But what about [this list of pro-lab-leak arguments]?” and then the superforecasters read them and adjust. In one sense, it’s good that they got to see more arguments; on the other, it seems like a potential route by which clients could bias the results - probabilities never quite got back to where they were before the feedback, though they got pretty close. The last-minute spike for zoonosis might be the Rootclaim debate results, which were released on 2/18. So maybe the client feedback and the Rootclaim results both slightly affected the numbers, but mostly the superforecasters started out pro-zoonosis and stuck to their guns. Dan Schwarz and the FutureSearch team say that forecasting has a “rationale-shaped hole”. Despite the report making this sound like a pretty intense process, we don’t get much information about details: In their extensive discussions , Good Judgment’s Superforecasters assessed base rates and historical patterns, existing evidence and scientific analysis, geopolitical context and transparency concerns, trust in intelligence communities, and methodological constraints. 1. Base Rates and Historical Patterns: The Superforecasters frequently referenced base rates, i.e., the history of pandemics emerging from natural zoonosis versus the history of laboratory leaks, to anchor their probabilities. For the former, they discussed how the base rates are changing as the climate warms and as expanding human populations push farther into natural environments that previously saw little human presence. For the latter, they acknowledged that it has only been 12 years since the advent of CRISPR gene- editing tools, and the base rate of lab leaks in the short synthetic biology era is not yet well established. 2. New Evidence and Scientific Analysis: Throughout the period, the Superforecasters adapted their forecasts in light of new scientific evidence, including genomic analyses of SARS-CoV-2 and its relation to bat viruses, and the debate over potential laboratory manipulation. 3. Geopolitical Context and Transparency Concerns: The geopolitical implications of the virus’s origins, particularly in relation to China’s transparency and the involvement of international research institutions, played a significant role in the analysis. Concerns over data veracity, and over the political ramifications of determining that the pandemic’s origins were other than zoonosis, were extensively debated. 4. Trust in Intelligence: Commentary on trust in intelligence communities and discussions about the impact of geopolitical biases on the interpretation of evidence illustrated the complex interplay between science, politics, and human behavior in assessing the pandemic’s origins. 5. Methodological Critiques and the Evaluation of Evidence: The Superforecasters engaged in methodological critiques of the evidence base, including the scrutiny of laboratory practices and biocontainment levels [...] In the end, most Superforecasters were in rough agreement on issues like the base rates of zoonotic spillover. Where they most often disagreed was on the interpretation of actions by Chinese officials and whether their actions reflected how an authoritarian government would react in any crisis over which it did not have full control, or whether those actions were indicative of attempts to cover up a biomedical research-related accident that allowed the SARS-CoV-2 virus to enter circulation in China and, ultimately, the entire globe. Probably it would be too much to ask for to get a transcript of all their discussions - then they’d be nervous saying things that might make them look bad to an audience. What would be a good balance between getting more information and not imposing on their time? Forecasting is an unusually legible and easy-to-judge domain. One of the theories of change for forecasting was to use it to identify smart people with good reasoning, then turn them loose on less well-behaved problems. This is one of the first big attempts to do this at scale. How did it work? We can’t tell, because it’s inherently an illegible and hard-to-judge domain. Darn. I don’t know what I expected. Notes From A Local Optimum Austin’s concern - that forecasting has reached a local optimum - is widely shared. We have some good sites: Manifold, Metaculus, Polymarket, GJO, etc - all doing good work. We have good-ish probabilities for a few important questions. Every so often a news source cites them. Sometimes a decision-maker looks at them behind the scenes, maybe. Is this all there is? The FutureSearch team says the next step is to focus on “rationale”. We need to use forecasting not just to get a raw probability, but to explain what’s going on and why we think something. Then instead of just convincing policy-makers to trust forecasts, we can tell them why something is true, or inform their discussions even if they’re not willing to blindly trust a number. Is this a betrayal of the forecasting ethos? The original dream was that instead of a bunch of people giving arguments, we could just test who was right. Now we’re going back to the arguments? People have argued forever; what does forecasting add to that? Well, they add the knowledge that the arguments are from people who have been right a lot before and are incentivized to be right again. Still, it’s not a natural fit. Probably it’s relevant here that FutureSearch’s forecasting AI does a really good job of this by default, in a way humans can’t match. Nuno’s yearly forecasting roundup doesn’t have a single thesis, but the first part is a well-supported complaint that most forecasting sites aren’t good business. They either burn VC money, burn EA donations, or converge towards casinos to support themselves. He gives an honorable exception to Cultivate Labs, which sells prediction market software rather than the results themselves. Open Philanthropy (billionaire Dustin Moskovitz’s EA-aligned charitable foundation) has at least given forecasting a vote of confidence, recently choosing to promote it to one of their main donation areas. Still, they got a lot of pushback on the decision, for example SuperDuperForecasting here: This will be a total waste of time and money unless OpenPhil actually pushes the people it funds towards achieving real-world impact. The typical pattern in the past has been to launch yet another forecasting tournament to try to find better forecasts and forecasters. No one cares, we already know how to do this since at least 2012! The unsolved problem is translating the research into real-world impact. Does the Forecasting Research Institute have any actual commercial paying clients? What is Metaculus's revenue from actual clients rather than grants? Who are they working with and where is the evidence that they are helping high-stakes decision makers improve their thought processes? Incidentally, I note that forecasting is not actually successful even within EA at changing anything: superforecasters are generally far more relaxed about Xrisk than the median EA, but has this made any kind of difference to how EA spends its money? It seems very unlikely. And Marcus Abramovich here: I'm in the process of writing up my thoughts on forecasting in general and particularly EA's reverence for forecasting but I feel, similar to @Grayden that forecasting is a game that is nearly perfectly designed to distract EAs from useful things. It's a combination of winning, being right when others are wrong and seemingly useful, all wrapped into a fun game. I'd like to see tangible benefits to more broad funding of forecasting that seems to be done in t he millions and tens of millions of dollars. I would also be the type of person you would think would be a greater fan of forecasting. I'm the number one forecaster on Manifold and I've made tens of thousands of dollars on Polymarket. But I think we should start to think of forecasting as more of a game that EAs like to play, something like Magic the Gathering that is fun and has some relations to useful things but isn't really useful by itself. Eli Lifland has a long and hard-to-summarize comment here, response from Ozzie Gooen here, podcast between them on “Is Forecasting A Promising EA Cause Area?” here. I’m split on this. My previous hope was that the field would gradually grow, without any qualitative changes or discontinuities, until it became big enough that journalists and policy-makers were aware of it and took it seriously (compare eg the growth of the Internet as a scholarly resource). I think the strongest argument against this is Manifold’s relatively flat user numbers. Is there a new hope? I think if nothing else, forecasting might be useful as a testing ground: First, to create forecasting AIs (like FutureSearch) which can then get consulted on a variety of questions, eg by policy-makers. The biggest holdup has always been the need to gather 20 or 50 or however many hard-to-find superforecasters for whatever question you’re asking, and then trust their advice even though they’re fallible fleshbag humans. If you can use the 20 to 50 superforecasters to inspire an AI, and then test the AI and prove it’s good, people might be more interested. This is especially true if the AI can branch out beyond traditional forecasting questions. Once we have a few of these, we can start comparing the next generation of AIs to the previous generation, and skip the superforecasters.
CUNY

CUNY is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between May 04, 2021 and May 04, 2021. The archive places it in contexts such as "tuition was introduced into the CUNY university system for the first time". It most often appears alongside 2008, 9/11 attacks, A Brief History Of Neoliberalism.

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CUNY
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May 04, 2021
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May 04, 2021
May 04, 2021 · Original source
The New York City fiscal crisis was an iconic case. Capitalist restructuring and deindustrialization had for several years been eroding the economic base of the city, and rapid suburbanization had left much of the central city impoverished. The result was explosive social unrest on the part of marginalized populations during the 1960s, defining what came to be known as ‘the urban crisis’ (similar problems emerged in many US cities). The expansion of public employment and public provision—facilitated in part by generous federal funding—was seen as the solution. But, faced with fiscal difficulties, President Nixon simply declared the urban crisis over in the early 1970s. While this was news to many city dwellers, it signalled diminished federal aid. As the recession gathered pace, the gap between revenues and outlays in the New York City budget (already large because of profligate borrowing over many years) increased. At first financial institutions were prepared to bridge the gap, but in 1975 a powerful cabal of investment bankers (led by Walter Wriston of Citibank) refused to roll over the debt and pushed the city into technical bankruptcy. The bail-out that followed entailed the construction of new institutions that took over the management of the city budget. They had first claim on city tax revenues in order to first pay off bondholders: whatever was left went for essential services. The effect was to curb the aspirations of the city’s powerful municipal unions, to implement wage freezes and cutbacks in public employment and social provision (education, public health, transport services), and to impose user fees (tuition was introduced into the CUNY university system for the first time). The final indignity was the requirement that municipal unions should invest their pension funds in city bonds. Unions then either moderated their demands or faced the prospect of losing their pension funds through city bankruptcy.
CURES

CURES is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 03, 2023 and April 03, 2023. The archive places it in contexts such as "California has a centralized database of all controlled substance prescriptions (it’s called CURES)". It most often appears alongside 2008 Act, ACX, Adderall.

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CURES
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April 03, 2023 · Original source
California has a centralized database of all controlled substance prescriptions (it’s called CURES). I don’t know how carefully the government monitors it. I often hear stories of doctors who overprescribe controlled substances getting in trouble, but I don’t know the details.
Cursorless

Cursorless is a recurring organization 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 "I could work on: contributing to Cursorless, the state-of-the-art open-source voice"; "contributing to Cursorless, the state-of-the-art open-source voice editing framework for VSCode". It most often appears alongside 2018, @BendiniUK, @benyeohben.

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Cursorless
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February 10, 2022 · Original source
#95: Make Programming By Voice More Practical I'm Michael Arntzenius (rntz.net) and I'd like $5-40K to work on making programming by voice more practical. Many programmers at some point suffer from repetitive strain injuries (RSI) that make typing difficult; I'm one. To mitigate this I use a tool called Talon that lets me control my computer by voice. Thanks to recent advances, voice control is increasingly practical, and voice programmers form a small but rapidly growing community. However, idioms and tools for coding by voice are in their infancy. I believe now is the right time to push hard on voice-oriented editing: the underlying voice recognition tech is ready, we have a creative, dedicated community willing to experiment with new approaches, and mature editor technology like language servers and online error-robust parsing (eg. tree-sitter) supports editing commands at a higher level than character-by-character. Specifically, this money could support me working part-time for 6 months ($5k) up to full time for 2 years ($40K). I could work on: contributing to Cursorless, the state-of-the-art open-source voice editing framework for VSCode; porting cursorless to other editors to increase its reach; incorporating ideas from recent research on structural editing and typed holes; and on my duties as co-maintainer of the de-facto default Talon script-set. If you're interested, contact me at daekharel@gmail.com.
Curtis + Ginsberg Architects

Curtis + Ginsberg Architects is a recurring organization 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 "a partner at the firm Curtis + Ginsberg Architects, which has worked on hotel conversions". 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.

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June 23, 2022 · Original source
Continuing from San Fransicko: There is evidence that privacy and solitude created by Housing First make substance abuse worse. A study in Ottawa found that, while the Housing First group kept people in housing longer, the comparison group saw greater reductions in alcohol consumption and problematic drug use, and greater improvements to mental health, after two years. “One reason for the surprising results,” wrote the authors, “may be that aspects of the Housing First intervention, such as the privacy afforded by Housing First and harm reduction approach, might result in slower improvements around substance use and mental health.” Okay, but the next sentence after the one the book quoted was the researchers admitting that oops, we also totally forgot to randomize our groups in any way, so the experimental and control groups had totally different levels of severity and maybe that was why they found this weird thing (this is non-obvious, because we’re looking at change over time rather than raw differences between groups, but the authors discuss some reasons why different groups might change differently over time). A few years later these same researchers did a proper randomized study and it found no difference in drug use between the two groups. Somers, Moniruzzaman and Palepu found no difference in drug use between Housing First and other subjects. Padgett et al found the Housing First group actually did better, although they are another victim of the epidemic of randomization failures in this space. Kirst et al, no difference in drug use, but Housing First better with alcohol. Milby found that housing contigent on abstinence worked better than housing not contigent on abstinence, which Shellenberger could have used to support his thesis, but even Milby found that housing not contingent on abstinence worked better than no housing! To summarize: I can find seven studies on this topic, only one of them agrees with San Fransicko’s thesis, and the authors admit that it’s weak. I accuse San Fransicko of citing only that one and pretending all the others don’t exist. (actually, I accuse it of doing that plus citing a line from a review claiming another study found this, but as far as I can tell that study did not actually find it) This is extra annoying, because all the popular news articles on Housing First gush about how it definitely decreases substance use and everything else bad. Shellenberger could have made the excellent point that all of these progressive journalists were totally wrong! This would have been an interesting, important, and completely true act of virtuous data journalism! Instead he tries to hold up a lonely negative result as representative, and ends up just as wrong but in the opposite direction. Continuing in San Fransicko: Researchers have found ways to use housing to reduce addiction. Between 1990 and 2006, researchers in Birmingham, Alabama, conducted clinical trials of abstinence-contingent housing with 644 homeless people with crack cocaine addictions. Two-thirds of participants remained abstinent after six months, a very high rate of abstinence, compared to other treatment programs. Other studies found that around 40 percent of homeless in abstinence-contingent housing maintained their abstinence, housing, and jobs. In a randomized controlled trial, homeless people were given furnished apartments and allowed to keep them unless they failed a drug test, at which point they were sent to stay in a shelter. Sixty-five percent of participants completed the program. Three similar randomized controlled trials also found moderate to high rates of completion. And participants in abstinence-contingent housing had better housing and employment outcomes than participants assigned housing for whom abstinence was not required. All of this seems basically true. It turns out that over longer periods of time, Housing First may not even outperform contingency in terms of keeping people housed. In the spring of 2021, a team of Harvard medical experts published the results of a fourteen-year-long study of chronic homeless placed into permanent supportive housing in Boston. Most studies of permanent supportive housing, including the Kushel study conducted in Santa Clara, only study the newly housed homeless for a span of around two years. The study found that 86 percent of the homeless, who were referred based on length of time living on the streets, suffered from “trimorbidity”—a combination of medical illness, mental illness, and substance abuse. The authors found that after ten years, just 12 percent of the homeless remained housed. During the study period, 45 percent died. The authors concluded that, because the chronically homeless had such higher rates of physical and mental illness, “the supportive services, essential to the PSH model, may not have been sufficient to address the needs of this unsheltered population.” This study was done on an especially severe subgroup of homeless people. There was no control group, so Shellenberger shouldn’t claim we have any evidence about whether Housing First can “outperform contingency”. Shellenberger counts people who died as “unhoused” to get his 12% number; if he didn’t do this, the number would be 23%. Only 23% of people given housing retained after ten years sounds bad. But you could change this number to whatever number you wanted by changing the severity of the subgroup selected for the study. Select people who are even crazier and more disturbed than these people, and you can have 0% retained after ten years; select high-functioning people with no problems, and you can get 100% retained after ten years. (or maybe not - the study doesn’t say why people left the program. It mentions that one possible outcome is having to go to a nursing home because they had grown too sick or old to support themselves. I am not sure that “23% stay in this program” means “77% are back on the street and all their care has been a total failure”.) Conclusion: Housing First seems to work in getting people housing. It probably also helps people use fewer medical services, and it might or might not save money compared to not doing it (probably more likely when treating very severe cases, less likely in areas with high housing costs). It probably doesn’t affect people’s overall health or drug use status very much. San Fransicko is right to call out all the people promoting it beyond what the evidence supports, but then goes on to attack it beyond what the evidence supports. Interlude: Why Can’t We Just House All The Homeless? This is the question many of the California gubernatorial candidates asked. California has lots of money. There aren’t that many homeless people. Everyone is already committed to Housing First. So why don’t they have houses already? San Francisco has about 7,000 homeless people. The median SF apartment costs about $3,000 per month (presumably the government officials in charge would be trying to buy cheaper-than-median apartments for this project, but they seem bad at that, so let’s stick with median as a high-end estimate). So that’s $250 million/year to rent every homeless person an apartment. San Francisco has a $14 billion budget, although some of that is locked in nondiscretionary programs. So this effort would take about 2-3% of the city budget. Given how many people have both altruistic and selfish objections to the current level of SF homelessness, I can’t imagine that isn’t a better use of the money than whatever it’s being spent on now. So why hasn’t this happened? The closest thing I can find to the “rent apartments” plan is Governor Newsom’s “rent hotel rooms” plan, Project Roomkey. This was a short-term pandemic program. This article says it cost $4,000 per month, which seems reasonable - it provided residents with a hotel room, meals, security, and “custodial services” for just above a hundred dollars a day. So how come nobody has made it permanent or scaled it up? The homeless themselves don’t seem very positive on the project. They talk about “jail”-like conditions, including curfews and bans on visitors. I don’t know if this is the usual nanny-state-ism, or an attempt to reassure hotel owners / other residents / local communities that the influx of homeless people won’t cause them problems. If the latter, it hasn’t worked. From here: Jenna Abbott, executive director of the River District Business Association, said having a Roomkey motel in her neighborhood has been difficult. The site — which is in an area with large number of unhoused people — has drawn family and friends of Roomkey residents who haven’t been housed but “camp close to that hotel,” some with the goal of gaining a room, Abbott said. That’s led to more loitering, public drunkenness and trash outside the restaurants, gas stations and other businesses in the area, she added. And here’s another article about people objecting to local hotels accepting homeless people, which focuses on some combination of zoning, code, and public safety concerns. Everybody - the homeless, their advocates, various experts - interviewed in the article - agrees that the hotel rooms are kind of dehumanizing and much worse than having real housing. And this article suggests that government budgeters believe it’s not cost-effective compared to alternatives. Since the homeless don’t like it, and it’s expensive, almost everyone seems to agree it made sense as a short-term COVID measure only. The government’s preferred medium-term solution is single resident occupancy (SRO) hotels. These are big apartment/hotel-like structures where everyone has a small bedroom and then there are communal bathrooms and maybe kitchens. These used to be the archetypal living situation for poor Americans (Matt Yglesias talks about them as “boarding houses” here). But moral reformers banned them in the 1900s on the grounds that they were slums - I think this is the usual “surely the reason poor people live bad lives is because capitalists oppress them by selling them cheap low-quality goods, and if we just ban selling people cheap low-quality goods, everyone will have high-quality goods and poor people will live great lives!” argument. Somehow this failed to work and homelessness got worse over this period, but there are still some SRO hotels left, and the government got them and converted them to public housing for homeless people. Shellenberger does not have high opinions of these: The Tenderloin [district of San Francisco]’s single resident occupancy hotels . . . have for decades been dominated by a culture of heavy substance use and prostitution. “Of the people in supportive housing in San Francisco, 93 percent have a major mental illness that we can name,” said a housing policy maker. “That is very, very high. Eighty percent use cocaine, speed, or heroin every thirty days, or get drunk to the point of unconsciousness.” Tom Wolf, a former Salvation Army caseworker and a member of San Francisco’s Drug Dealing Taskforce, says the city’s supportive housing facilities are themselves a major market for illegal drugs. “Go down the street to the Camelot Hotel on Turk Street,” said Wolf. “Almost everyone that I’ve seen in those hotels are using. The last front desk guy that was working there got busted because he was selling crack. The actual guy that works in the single resident occupancy hotel is selling crack! It’s insane, man.” In any case, there are only so many of these still left. The government often announces plans to buy defunct regular hotels and convert them into these structures, which would indeed be a medium-term solution for housing the homeless, except that they usually get bogged down in fights about code. Politico discusses one of these attempts in New York City (h/t Marginal Revolution): “There are very few hotels that physically could be converted and comply with the requirements of today’s zoning and building code without substantial, expansive reconstruction, partial removal or demolition,” said James Colgate, a land use partner at Bryan Cave Leighton Paisner LLP who has advised clients on zoning issues including the conversions of hotels. “That would increase the costs greatly.” For example, a building’s elevators, doorways, or rooms may be slightly short of the size required for a residential structure. Residential buildings are also required to have a certain amount of rear-yard space that a hotel may not have. “You would literally have to be chopping off part of the building,” Rosen said. …The legislation dictates that each unit include a kitchen or kitchenette with a full-sized refrigerator, cooktop and sink — something Rosen said made utilizing the program “simply too expensive.” “This is the classic case of the perfect being the enemy of the possible,” said Mark Ginsberg, a partner at the firm Curtis + Ginsberg Architects, which has worked on hotel conversions. Some advocates who pushed the creation of the program say those provisions were necessary to ensure it didn’t generate substandard housing […] “We didn’t want a program that cut corners to make it more palatable to developers,” said Joseph Loonam, housing campaign coordinator for the progressive advocacy group VOCAL-NY. “We wanted a program that centered the needs of homeless New Yorkers, which is true high quality affordable housing where they can have full autonomy and dignity.” As Marginal Revolution pointed out, Loonam got what he wanted; the expensive, over-regulated program was unpalatable to developers, with only one company putting in an offer; for whatever reason, NYC refused to go with that one company, and no housing was produced. But fine, these are also terrible, and they’re only medium-term solutions anyway. What about building real, long-term apartments for homeless people? Shellenberger tells the story of Los Angeles’ Proposition HHH, which raised $1.2 billion to do exactly this. They hoped to build ~10,000 units for the homeless, at a projected price of $140,000 each; since LA had about 30,000 homeless people at the time, this would solve a third of the problem - a good start. (how do these numbers line up with my back-of-the-envelope calculation for SF above? I talked about renting rather than building, but usually annual rents = 1/20th or so of total prices, so I was estimating about $700,000 per person. This is probably partly because SF costs more than LA, and partly because I was imagining median apartments whereas LA is probably working on very cheap apartments) But in fact, five years later, LA has completed only 700 units, and the cost per unit has spiralled to $531,000 each. Nobody has a good explanation for what happened, with Shellenberger quoting one local service provider who said a lot of it was “bullshit costs”. Now might be a good time to re-read Considerations On Cost Disease. [Update: this might not be accurate - see this comment] This seems to be a general problem: everyone is committed to Housing First and to long-term good solutions rather than short- or medium- term mediocre ones. But that means building housing. And some combination of NIMBYism and over-regulation means building housing is somewhere between ruiniously expensive and impossible. Claim 4: Shelters Are Unpopular Among Progressive Activists And The Homeless Themselves San Francisco doesn’t have more homelessness than eg New York, but almost all the homeless in New York live in shelters and stay off the street. Why doesn’t that work here? Shellenberger: In the context of cities with permissive attitudes toward drugs, like San Francisco, many homeless people stay in [tent] encampments to use illegal substances more freely and easily than they can in the shelters. Many policy makers understand this. “I went out with a team twice to have conversations with people to get an understanding of what they’re dealing with,” said Mayor Breed in 2020. “It was absolutely insane. Most of the people did not take us up on the offer [of shelter and services].” Even people who would prefer to live in sober environments say they do not want to quit their addictions. “When we surveyed people in supportive housing in New York,” said University of Pennsylvania homelessness researcher Dennis Culhane, “almost everybody wanted their neighbors to be clean and sober but they didn’t want rules for themselves about being clean.” In 2016, after the city of San Francisco broke up a massive, 350-person homeless encampment, dozens of the homeless refused the city’s offers of help. Of the 150 people moved during a single month of homeless encampment cleanups in 2018, just eight people accepted the city’s offer of shelter. In 2004, just 131 people went into permanent supportive housing after 4,950 contacts made by then-mayor Newsom’s homeless outreach teams. An article by a former homeless person explains the problems with shelters beyond just “can’t use drugs”. Residents are crammed into a small space with 300 other homeless people. Lice and bedbugs are everywhere. Everybody catches every disease. Everybody has stories about getting raped or beaten up. Invasive moralizing about drugs somehow exists side by side with rampant drug use. Shelters are gender segregated, which means straight people can’t stay with their partner. Most shelters ban children and nobody has any idea what to do with them. Most shelters ban pets - a lot of homeless people have dogs for protection or companionship, and you can’t just store them somewhere while you’re sheltering. Although some lucky people can get 90-day beds, other people need to apply for beds on a day-by-day basis, which requires waiting in line several hours every day. Users talk about rampant cutting in line, denying cutting in line, false accusations of cutting in line, etc. Most shelters kick people out between 9-5, either to save on staffing costs or in the hopes that they’ll get a job. But many have strict curfews requiring people to be back by 5 PM sharp, which can make jobs impossible - if your boss doesn’t let you out until 5 and you have a half-hour commute, how do you get back to the shelter on time? Results of a survey at one of SF’s new Navigation Centers at why their clients refused to go to normal shelters. But even the homeless people who do want to go to shelters mostly can’t get in. This app gives the current status of San Francisco’s homeless shelter waitlist. If you applied today, there would be 900 people ahead of you in line for one of the city’s 1500 - 2500 shelter beds. The app says that the median wait time is 826 days. So however many homeless people don’t want to go to shelters, we’re not building enough shelters to serve the ones who do. Why not? Shellenberger again: In the spring of 2021, Friedenbach published an op-ed opposing a proposal considered by the San Francisco Board of Supervisors to create, within eighteen months, sufficient homeless shelters and outdoor “Safe Sleeping Sites” for all of the city’s unsheltered homeless. “One can simply take a look to New York City,” she wrote. “Their department spends about $1.3 billion dollars of its budget on providing shelter for their unhoused population while thousands remain on the street. . . . As a result, New York has a higher rate of homelessness than San Francisco.” Housing First advocate Margot Kushel of the University of California, San Francisco agreed. “The problem with New York—and I spend a lot of time with people working in the system in New York—is that they spend an estimated $30,000 for each person per year to keep them in shelter. That’s not what we want to do. Because if you create the shelter and you don’t create the housing, then people are just in shelter forever.” Housing First advocates oppose shelter in Los Angeles. “Why haven’t we solved homelessness?” asked Housing First creator Sam Tsemberis. “Because [Los Angeles mayor] Eric Garcetti [has] Andy Bales [saying,] ‘You need emergency housing.’ ‘These people need to be cleaned up.’ ‘They need to be sober.’ ‘They need Jesus before they’ll be ready for housing.’ I said, ‘People should be housed and then maybe they’ll get sobriety and Jesus and the rest.’ We’re definitely on polar opposites of the whole thing.” Advocates for the homeless at the national level similarly oppose more shelters. “I don’t agree that we should be building more transitional housing,” said the head of the National Alliance to End Homelessness. […] In other words, the reason that there are so many homeless people on the streets in San Francisco is that both progressive and moderate Democratic elected officials, and the city’s most influential homelessness experts and advocates, have for two decades opposed building sufficient shelters. And that is unlikely to change even after San Francisco starts spending hundreds of millions more per year on the problem and might even get worse. This basically seems true. I found this webpage of a former SF Supervisor candidate a helpful corroborating source. He was running on a platform of “maybe we should build some homeless shelters”. He lost. You can also find a bunch of webpages by the sorts of people Shellenberger is complaining about, for example this site: Sup[ervisor] Rafael Mandelman today pushed his new legislation that would require the city to offer at least temporary shelter to everyone living on the streets, a step that some say would lead to more homeless sweeps and do nothing to create permanently affordable housing . . . [our] Coalition has argued for years that the solution to homelessness is housing—not temporary shelter, which may never lead to housing. The ex-supervisor candidate gives some helpful numbers: permanent housing costs about $600,000 per person housed. Shelters cost between $20,000 and $30,000 per person housed. So SF could build enough shelters to clear its waitlist for about $30 million. More recently, SF has tried a sort of compromise, opening “deluxe” shelters called Navigation Centers which avoid some of the problems of regular shelters. They also cost more than twice as much, and the city has only created about 300 beds. Also, the people in regular shelters are angry, because being in a regular shelter disqualifies you from getting into a (much better) Navigation Center. Some of them are considering leaving their shelter, going back on the streets, then waiting however many months or years it takes to get a Navigation Center bed instead. I’m not at all sure of these numbers, but it looks like of SF’s ~7,000 homeless, about 2,000 are in shelters already, and 1,000 are on the shelter waitlist. I don’t know if the remaining 4,000 have made a specific commitment not to go to shelters, or just have given up on the waitlist process. My conclusion: agree with San Fransicko about the role of progressive activists, but I think it overemphasizes the role of wanting to use drugs in why homeless people themselves sometimes avoid shelters, and underemphasizes the many other problems with them. Claim 5: Drug Decriminalization Isn’t Working California legalized marijuana in 2016. Shellenberger says that San Francisco’s commitment to drugs has gone beyond that: it has effectively decriminalized opioids, cocaine, and the rest. Any attempt to lessen use of these drugs is attacked as “stigmatizing”; instead, government policy centers around providing addicts with needles and other drug paraphernalia under the guise of “harm reduction”. Shellenberger hits all the right beats here. Like many people, he tries to undo the damage done by The New Jim Crow, a book which convinced millions of people that mass incarceration was driven by a racist War On Drugs. In fact, less than a fifth of prisoners are in for drug-related crimes. And when the government was first debating the War on Drugs and mass incarceration, black leaders were among the strongest proponents of both. The talking point at the time - among everyone from black Congressional leaders to black churches - was that the government’s failure to crack down on drug use was racist, borne of them not caring about predominantly black drug victims. And while we’ve been patting ourselves on the back about how enlightened we are for ending the drug war: Drug overdoses are today the number one cause of accidental death in the United States as a result of America’s historic addiction and overdose epidemic. Overdose deaths rose from 17,415 in 2000 to 93,330 in 2020, a 536 percent increase.Significantly more people die of drug overdoses today than of homicide (13,927 in 2019) or car accidents (36,096 in 2019). […] There are about twenty-five thousand injection drug users in San Francisco, a number 50 percent larger than the number of students enrolled in the city’s fifteen public high schools. San Francisco gives away more needles to drug users, six million per year, than New York City, despite having one-tenth the population. The part of this chapter that stood out to me as most worth looking into deeper was the section on Portugal: For decades, harm reduction and decriminalization advocates have pointed to Portugal as a model, noting that it decriminalized drugs and expanded drug treatment. In 2013, Portugal’s drug-induced death rate was sixty-six times less than that of the United States. The number of people in treatment increased by 60 percent between 1998 and 2011, with three-quarters receiving an opioid substitute like methadone or Suboxone, the brand name of buprenorphine. Drug use among 15- to 24-year-olds actually declined after decriminalization. “All drugs have been legalized,” explained Monique Tula, executive director of the Harm Reduction Coalition. “Their focus is on giving people tools, like job apprenticeships, and the means to support themselves.” […] [But Portugal] never legalized drugs. It only decriminalized them, reducing criminal penalties but maintaining prohibition. Drug dealers were still sent to prison even after the 2001 decriminalization. And Portugal does not let people addicted to hard drugs with behavioral disorders off the hook like progressive West Coast cities have done. It’s true that Portugal massively expanded drug treatment, but people are still arrested and fined for possession of heroin, meth, and other hard drugs. And drug users are typically sent to a regionally administered “Commissions for the Dissuasion of Drug Addiction,” composed of a social worker, lawyer, and doctor who encourage, push, and coerce drug treatment. And decriminalization doesn’t end drug violence. “Even if trafficking enforcement decreased, like it did in Portugal,” said criminologist John Pfaff, “illegal drug markets would still be forced to rely on violence to resolve disputes.” Indeed, prostitution and violence are ever-present in the open-air drug scenes in San Francisco, Los Angeles, and Seattle. “We are seeing behaviors from our guests that I’ve never seen in thirty-three years,” said Rev. Andy Bales, who runs the largest homeless shelter on Skid Row in Los Angeles. “They are so bizarre and different that I don’t even feel right describing the behaviors. It’s extreme violence of an extreme sexual nature.” People are not dying from drug overdose deaths in San Francisco because they’re being arrested. They’re dying because they aren’t being arrested. Decriminalization reduces prices by lowering production and distribution costs, which increases use. This was also the case for alcohol consumption. It increased after prohibition ended in the United States. Even in Portugal, drug overdose deaths and overall drug use rose after decriminalization. I was most surprised by the claim that Portuguese overdose deaths rose after decriminalization. Uncharacteristically, San Fransicko doesn’t give a citation for it, but we can try to retrace its reasoning. Decriminalization proponents tend to point to these numbers, helpfully converted to per 100,000 population and graphed here: But an anti-drug Australian think tank argues that the peak in 2001 is made up: Claims that there were more than 75 drug-related deaths in 2001 which more than halved to 34 deaths in 2002 use a figure for 2001 for which there is no substantiation. Official drug-related deaths for Portugal, taken from the latest 2018 EMCDDA Statistical Bulletin are copied below. Notice that there is no such figure recorded for 2001. They include a link to EMCDDA, the EU organization charged with monitoring these things. The link contains two datasets, both of which seem to be measuring the same thing but getting different results. One dataset starts in 2002, the other in 2008. I don’t know what the difference here is, but they’re right that neither includes 2001. If you ignore the pre-2002 data, the graph looks like this: 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.
Curve

Curve is a recurring organization 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 "The tokenomics of bribes on the Curve crypto market". It most often appears alongside @ElytraMithra, Aaron, ACX.

Reference entry
Curve
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1
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1
First seen
May 29, 2024
Last seen
May 29, 2024
May 29, 2024 · Original source
40: The tokenomics of bribes on the Curve crypto market. I don’t fully understand this, and it’s of no interest to people outside crypto, but I appreciate that someone has finally invented a governance structure more complicated than Renaissance Venice.
Customs

Customs is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 28, 2022 and June 28, 2022. The archive places it in contexts such as "sending Customs people every day because it is a free zone". It most often appears alongside Achille Mbembe, Africa Next 50 Cities Coalition, African DAO.

Reference entry
Customs
Mention count
1
Issue count
1
First seen
June 28, 2022
Last seen
June 28, 2022
  • 22 June 28, 2022
June 28, 2022 · Original source
Yes, the Law is repealed, and it is false that ratification is needed. However, the Government is respecting the Zones, eg. sending Customs people every day because it is a free zone. Maybe they do it because they want to respect acquired rights and avoid lawsuits But I don't think so, the Repeal Act says they don't want to do it, and the rhetoric is clear.
Caremark

CVS/Caremark is a recurring organization in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 27, 2022 and January 27, 2022. The archive places it in contexts such as "These companies are: CVS/Caremark, Express Scripts, OptumRx, Prime Therapeutics". It most often appears alongside ACA, Acrolectics, Aetna.

Reference entry
Caremark
Mention count
1
Issue count
1
First seen
January 27, 2022
Last seen
January 27, 2022
January 27, 2022 · Original source
The PBM step generally keeps an administrative cost per prescription plus a % of the cost of branded drugs. These companies are: CVS/Caremark, Express Scripts, OptumRx, Prime Therapeutics and a lot of minors. They negotiate "rebates" with manufacturers. This basically works like this: Humalog and Novolog are effectively equivalent drugs. They cost ~$300/month without insurance. The PBM will say to Lilly "That's a nice humalog you've got there. I'm going to need $150/month as a check back to me or else every patient on my plan gets Novolog unless the doctor fills out 500 pages of paperwork to get Humalog AND the patients pay $200 of the cost." Lilly says "ok fine." According to the PBM lobbying organization, PCMA, most of the rebate money goes back to purchasers, but IMO that just makes the problem worse because it makes purchasers complicit in the game by sending them checks that they use to reduce their premiums instead of reducing the cost of drugs to their plan members.
Consider for a moment that CVS/Caremark by themselves is the PBM for ~112M people in the USA. That's more than the entire population of Germany. If you think that Germany pays less for drugs that CVS/Caremark.........
CYL faction

CYL faction is a recurring organization 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 "last relic of the old CYL faction". It most often appears alongside America, American consulate, Attorney General.

Reference entry
CYL faction
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1
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1
First seen
April 06, 2022
Last seen
April 06, 2022
April 06, 2022 · Original source
For a while in the early 2010s, the leadership (including Xi?) wanted to stop propping up these failing public enterprises (the Chinese term is “zombie companies”), or at least make them profitable. We saw articles like Xi Jinping’s Ambitious Agenda For Economic Reform In China and China Unveils Biggest Reforms In Decades, Shows Xi In Command. This doesn’t seem to have happened. Some of it might be internal leadership fights, some might be officials fearing the consequences of laying off workers, but a lot seems to be ideological: Xi likes having all of the power, and the state owning lots of companies adds to that. Now article titles look more like Xi Dials Back China’s Economic Overhaul and China’s Faltering Performance On Economic Reform. Some analysts point out that Premier Li Keqiang, the official with the economics portfoilio, is the second most powerful person in China after Xi himself and the last relic of the old CYL faction - so some of the flip-flopping might be a shadow conflict between Xi and Li where both try to calculate whether having a good economy or a bad economy scores them more political points at any given moment.