Astral Codex Ten

Yale

41 min read

Yale

Article

Yale is a recurring organization in the Astral Codex Ten archive, appearing 14 times across 14 issues between January 29, 2021 and October 17, 2025. The archive places it in contexts such as “Nine unelected experts with Harvard and Yale degrees”; “You can find these at … Yale”; “Yale historian Timothy Snyder explains why he’s wrong”. It most often appears alongside Harvard, New York Times, United States.

Metadata

  • Category: Organizations
  • Mention count: 14
  • Issue count: 14
  • First seen: January 29, 2021
  • Last seen: October 17, 2025

Appears In

Source Context

Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.

Contra Weyl On Technocracy
January 29, 2021 · Original source
2. School desegregation: Nine unelected experts with Harvard and Yale degrees, using a bunch of Latin terms like a certiori and de facto that ordinary people could not understand let alone criticize, decided to completely upend the traditional education system of thousands of small communities to make it better conform to some rules written in a two-hundred-year-old document. The communities themselves opposed it strongly enough to offer violent resistance, but the technocrats steamrolled over all objections and sent in the National Guard to enforce their orders.
Please Don't Give Up On Having Kids Because Of Climate Change
October 11, 2021 · Original source
Finally, I want to respond to the news articles that say having a kid will create 60 tons of carbon a year and be a disaster for the planet. You can find these at The Guardian, Yale, Euro News, etc.
Inline links: The Guardian, Yale, Euro News
Who Gets Self-Determination?
March 30, 2022 · Original source
Vox has a whole Voxsplainer about how ”Vladimir Putin says Ukraine isn’t a country. Yale historian Timothy Snyder explains why he’s wrong”, which is definitely the Vox-iest possible response to a deadly global conflict:
Inline links: ”Vladimir Putin says Ukraine isn’t a country. Yale historian Timothy Snyder explains why he’s wrong”
Book Review: First Sixth Of Bobos In Paradise
December 01, 2022 · Original source
The pre-1950s aristocracy went by various names; the Episcopacy, the Old Establishment, Boston Brahmins. David Brooks calls them WASPs, which is evocative but ambiguous. He doesn’t just mean Americans who happen to be white, Anglo-Saxon, and Protestant - there are tens of millions of those! He means old-money blue-blooded Great-Gatsby-villain WASPs who live in Connecticut, go sailing, play lacrosse, belong to country clubs, and have names like Thomas R. Newbury-Broxham III. Everyone in their family has gone to Yale for eight generations; if someone in the ninth generation got rejected, the family patriarch would invite the Chancellor of Yale to a nice game of golf and mention it in a very subtle way, and the Chancellor would very subtly apologize and say that of course a Newbury-Broxham must go to Yale, and whoever is responsible shall be very subtly fired forthwith.
Highlights From The Comments On Bobos In Paradise
December 09, 2022 · Original source
[Most importantly], public displays of family values - If you are smart, wealthy and conscientious enough, you can play the field, settle down late, cheat on your wife, drink a bit too much, and still catch yourself in time to avoid long-term damage. Poor, low-G, high-time-preference people cannot do this. A caring aristocrat will put on a show of moral fibre for the benefit of his charges. Mark Roulo writes: I'll toss this out: Aristocrats grow up expecting that (a) they will be in charge and (b) that they will pass this on to their kids. Part (b) provides a longer perspective than a pure meritocracy where you hope (but, realistically, don't expect ...) your kids to have similar status and power. As folks think shorter term there is less incentive for maintaining the structures rather than benefiting from them and not worrying about whether they will be around in 50 years. Ruet Caelum writes: Another thought I had about the meritocracy debate point is how Brooks' thesis may intersect with the elite overproduction hypothesis. The old aristocracy created arbitrary constraints on the number of elites our country produced. Meritocracy flung the doors open. This is good insofar as it means that more competent people may replace the "arrogant boors who spent most of their energy conspicuously consuming and yachting," but perhaps the resulting culture of intra-elite competition and resentment ends up undermining elite institutions in ways that negate those benefits. I am less sure about this one. “Elite overproduction” means there are more aspiring elites than elite positions. But what is an “aspiring elite”? In a hereditary aristocracy, it’s “children of the last set of elites”; depending on reproduction rate, that can either be many people (bad) or few people (good). In a meritocracy, it’s less clear. Smart people? Graduates of top colleges? But both of these are meaningless - how smart? How top? You would expect that people would eventually become well calibrated, and think “I’m in the top 5% but not top 1% for intelligence/college selectivity, so I can expect a job of X level of eliteness, but not Y level” and in expectation be right. I’m not sure why that hasn’t happened. My guess is that it would equilibrate if it was stable for a while, but many people’s opportunities have been going down compared to their parents’ because of a combination of decreased economic growth, political dysfunction, affirmative action, and rising equality of opportunity. Kade U writes: Re: the question of *why* the old aristocrats might have been good, I can think of couple reasons. Historically, the successful long-lived republics have all basically been oligarchies controlled by ancient, wealthy families that more or less controlled all the levers of power. You're rich and powerful in the Republic because of what your family represents, and similarly you need to live up to the family name. Also, you're a legitimately rich guy who owns a lot of stuff, not just a particularly well-compensated employee, so you generally want rules that help you build stuff and not rules that stop you from building stuff. Meanwhile, you might also be tempted to set up a rent extraction operation via regulatory capture but the other families would rather you not do that because they are all also your business competitors in addition to being your political rivals. Cutthroat meritocratic bureaucracy is more of a mainstay of imperial administrations. The levers of power are held by the emperor's well-compensated, well-educated employees. Those employees have a lot of power in that they make a lot of important decisions, but they are really just custodians of someone else's authority, they have no stake in anything except looking good *within* the system. This works really well if your goal is basically to just execute the emperor's will, since all the employee-administrators will compete with each other to execute it best. But they don't have competing self-interests that make them interested in a pro-business, pro-investment climate. And without a single emperor to hand down the goal of the state, the administrators basically just pick up their cues from whatever they think will increase their social standing within the bureaucracy itself. The nascent tech takeover was basically just an attempt to combine these two ideas by having wealthy, business-interested meritocrats, but it turns out that they do a better job combining the flaws of both systems than they do combining their positives. I would love to see a scholarly, well-thought out comparison between the Imperial Chinese meritocratic system and our own (or else a discussion of why this is a false analogy and wouldn’t illuminate anything). 4. Other Interesting Comments GalenLK on the WASP aristocracy: I don't really buy the premise of the book, but I did wander in to this social circle once by accident in my youth. A friend of mine had by weird historical contingency ended up on one of their soccer youth teams, and got invited along to the parties every year by fiat. I was her plus one. My overwhelming impression was of basically nice (but money-obsessed) noodleheads. During the secret santa (it was Christmas), gift values were all over the map because they didn't have a sense of the difference between $20 and $200, and something like a third of the gifts were a bottle of lemoncello for some reason? Only one or two were employed in a traditional sense, and those were sinecures- part-time work that paid $400,000 a year, to 'tide them over' I think was the phrase; they were embarrassed about it. Another one cornered me pretty early on and started asking a bunch of unusual questions about my personal life, not just where I went to college or what my major was, but odd little details. I was rescued by my date who walked up and said (to both of us), "she's trying to figure out whether you're old money or new money." I just said, "Oh! I am not money." And then we had a little laugh about it and went back to a normal and mutually respectful conversation. They were perfectly nice, really, but it was eye-opening how much it was clearly a social network first, where money just happened to flow very freely and was a primary topic of conversation; it was absolutely a 'class' barrier that I'd crossed, in the old-fashioned sense. I wasn't there nearly long enough to get a bead on the deeper mythologies of the set, but they definitely had a parallel understanding of money that made 'earning' it worse, not better. They were also pretty tryhard about being 'eccentric' and quirky, I guess because it was taboo to talk about accomplishments so they needed something else to talk about over dinner, and the ones winning the game were the ones who made the money seem like it just sort of rained down on them from the clouds. In retrospect, the most interesting thing about it is that all of their wealth depended on internal and inward-facing connections to this group, or I guess being part of inherited/family wealth from it, and nothing depended on any reputation or actions outside of it; they lived on investment income and such, but hired other people to make the investments. So it seems like a sort of socioeconomic 'dark matter' where I have no idea how many people live like this or how much wealth overall they possess. It was just a few dozen at the party, anyway. I'm not sure it even *matters*; I think in economic terms, their function was mostly to be the name at the top of large currency reservoirs being exploited by the financial industry. Whether they're shrinking as a group or holding on in to the 21st century, I have no idea, and I can't imagine there being any broader social consequences either way. Steve Sailer thinks I’m mostly wrong about architecture (and maybe by implication other things?) Architecture: I did a popular long Twitter thread on the change in architecture for city halls before and after 1945, comparing apples to apples: e.g., San Diego's various city halls. Styles were already changing in the 1930s. E.g., San Diego's 19th Century city hall was ornate, but its 1938 city hall was relatively streamlined, but still elegant and nicely detailed. It's 1964 city hall looks like worker housing in Sao Paulo, judging from the lone picture of it I could find online (unlike the many pictures of the two previous city halls. One thing to note: coal-powered cities were so sooty that old buildings had gone dark and ugly and it seemed easier to just tear them down and put up something made of glass and steel. But in 1961, De Gaulle's culture minister Andre Malraux started having Paris's grand old buildings washed, with spectacular results. And also: A late friend of mine taught history at Yale when Yale junked it's Jewish quota for the class entering in the fall of 1965 (a decade behind Harvard). He said even being the grandson of Senator wouldn't have gotten George W. Bush in in 1965 rather than 1964. The intellectual atmosphere of the campus changed immediately in 1965, became much more electric, he recalled. Guy Downs writes: I think an alternative explanation for how we've ended up where we're currently at is that people started inheriting money. This, I think, is the dark matter of the US economy- we know it's everywhere, but nobody can point to it. And I'm not talking about eight figure windfalls coming down from dead shipping scions; I'm talking about the kind of money you'd expect to see run through a family if, since WW II, each generation kept putting away low-mid six figures. You get to the end of the 20th century, and with compounding interest you've suddenly got a lot of people tripping into low seven figure bonanzas when their parents die. So- imagine you're a reasonably self-aware, college educated Democrat, both you and your spouse have solid-but-not-great jobs, and you're making $180k-$210k a year gross. That's not bad, but that does NOT cover: 1) The mortgage on a $450k house. 2) Payments/insurance on two Infinity crossovers. 3) Club sports fees for the two kids. 4) Annual vacations that require air travel. 5) College expenses when the kids get out of high school... And so on. Yet there are millions of Americans who are living that life on these kinds of incomes. So where's the money coming from? And, to the point of this book review, how would coming into that money affect your worldview? Again, assuming the beneficiary is reasonably self-aware, we might expect them to carry some vague sense of guilt and shame at having their lifestyles-- in middle age, no less-- subsidized by monies that they did not year. Which, in turn, could lead to...... 1) a lot of mumbling about 'privilege' (while doing nothing tangible to mitigate its cultural/economic influence),. 2) the pursuit of class signifiers which aren't 'too' grotesque, but which still relay the appropriate message. 3) a desire to use education and 'intellect', as opposed to wealth, as a primary status signifier (since we have both, but only the former was earned) 4) an insistence of minimizing the importance of personal agency in life outcomes (since you 'can't be blamed' for living a life that you haven't really earned) And so on. We talk a lot about the basically uninterrupted spell of economic progress that we've seen since the post-war years, but not (it seems to me) much about how that generational accrual of wealth has affected social standings. My feeling is that its probably driven more of our social outcomes than the people who think the most about these kinds of issues would like to admit. I can’t see more than the faint outline of how Guy is connecting this to Bobos, but I agree that it’s weird. For upper middle class people, inheriting their parents’ money could be the biggest financial event of their lives, maybe bringing them from paycheck-to-paycheck to having six-to-seven figures in the bank, and I never hear anyone talk about it. Probably this is some combination of: Nobody wants to sound like the kind of heartless jerk who is thinking about the upside of their parents’ deaths.
Inline links: writes, writes, writes, on the WASP aristocracy, thinks I’m mostly wrong, writes
Prediction Market FAQ
December 20, 2022 · Original source
when you’re not sure which of many competing experts to trust, you should trust a prediction market instead of any of them Going through these claims one by one: 3.1: Why expect all prediction markets to agree with each other? Either all prediction markets agree with each other, or you can get rich quick: Suppose prediction markets disagreed. For example, suppose the RNC ran an Official Republican Prediction Market that said there was only a 10% chance Democrats would win the next election, and a 90% chance Republicans would. And suppose the DNC ran an Official Democrat Prediction Market that made the opposite prediction: 90% chance Democrats, 10% chance Republicans. Then you could buy a share of “Democrats will win” from the Republican market for 10 cents, plus a share of “Republicans will win” from the Democrat market for 10 cents, and be guaranteed to make $1 when one party or the other wins. You have turned 20 cents into a guaranteed $1. Repeat until you are rich or the mispricing has been corrected. This is just what financial experts call “arbitrage”. You may notice that in finance, people always give specific prices for things like shares of stock, barrels of oil, or Bitcoins. People say things like “Google stock is up to $300”, but never “Google stock is up to $300 on the NYSE, but down to $200 on NASDAQ”. If that was true, people would buy it on NASDAQ, sell it on NYSE, make $100 in free money, and get rich quick. In ideal situations, arbitrage forces everybody everywhere to agree on the same price for a financial instrument. Prediction markets turn claims about truth into financial instruments in a way which forces everybody everywhere to agree on how likely the claim is to be true. 3.2: Why expect prediction markets to be hard for special interests to manipulate? Either a prediction market is not currently mispriced because of a manipulation attempt, or you can get rich quick. Argument: Suppose a prediction market was currently mispriced because of a manipulation attempt. For example, suppose there is a prediction market for whether the sun will rise tomorrow. The true probability is obviously 100%, corresponding to a cost of $1.00. But suppose some special interest who wanted to trick people into believing the sun would not rise successfully spent money to bid the market down to only 10%. This means that you can buy, for $0.10, a share which pays $1 if the sun rises tomorrow. In other words, you can dectuple your money for free. Repeat until you are rich or the mispricing has been corrected. This may sound complicated in theory, but it plays out straightforwardly in real life. As a test, I tried to manipulate the market on whether Austin Chen, founder of Manifold Markets, would be charged with a felony. There’s no reason to think he should be, so the price started at 5%. I spent $200 in Manifold’s play money bidding it up to 95%. Within an hour, other investors noticed the mispricing and corrected it back down to 5% again. 3.3: Why expect prediction markets to be free from bias? Either a prediction market is not currently mispriced because of bias, or you can get rich quick. The argument: Suppose all smart people, including you, know that there is an 80% chance that the Democrats’ economic plan will create new jobs. But suppose that Republicans, because of their partisan biases, refuse to believe it, and say there is only a 40% chance. And suppose the Republicans set up their own prediction market where they bid the price of a share down to $0.40. You can, of course, go on this prediction market, buy shares for $0.40, and double your money in expectation. Repeat until you are rich or the mispricing has been corrected. I already described how something like this happens on PredictIt (a non-ideal prediction market that you can only make a few hundred dollars in expectation by correcting), and that I do in fact make a few hundred dollars every election season. 3.4: Why should I believe a prediction market’s consensus over my own opinion? This is the same argument as “the prediction market will always be at least as accurate as the top expert” only with you in the place of the top expert. Either prediction markets are at least as smart as you are, or you can get rich quick. The argument here is the same as “at least as smart as the smartest expert” argument in 2, except replacing “the smartest expert” with “you”. But just to lay it out explicitly: Suppose you were smarter than some prediction market. Then if you disagreed with the market, usually you would be right and it would be wrong. So look for cases where you disagree with the market, buy those shares, and you will make money in expectation. Repeat until you are rich or the mispricing has been corrected. I like this because it’s a good empirical test, and one that many people have tried. If you think you’re smarter than the prediction markets, bet on them and see what happens! I think most people will find that (over the long run) they lose money, and eventually this will cure them of their delusion that they can beat the markets. A few people might find that (over the long run) they do win money, just as a few people (eg Warren Buffett) can consistently win money on the stock market. Hopefully those people will quit their day jobs and become full-time prediction market traders. They’ll become multimillionaires, and their hard work will ensure that prediction markets stay more accurate than the rest of us. 3.5: Why should I believe that a prediction market makes good decisions about which of many competing experts to trust? Suppose you accept that a prediction market will always be at least as accurate as some well-known expert (eg Nate Silver). But what if you’re not sure who the real experts are? Or what if there are many experts, all saying different things, and nobody knows who to trust? In this case, a prediction market will always be at least as good as any other source (including you) at telling good experts from bad, or at figuring out which of many good experts is the best. By this point you should be able to predict the argument, but for completeness’ sake: Suppose you were better than the prediction market at determining which of many competing experts to trust, or how to aggregate the pronouncements of many experts into a single authoritative opinion. Then if you disagreed with the market, usually you would be right and it would be wrong. So look for cases where you disagree with the market, buy those shares, and you will make money in expectation. Repeat until you are rich or the mispricing has been corrected. To ground this in a real example, suppose there is some new virus which might or might not spread to the United States. A Harvard professor of epidemiology says there’s a 70% chance it will spread, a Yale professor of epidemiology says there’s an 90% chance it will spread, and a guy in a tinfoil hat on Infowars says there’s a 0% chance it will spread because it’s all a fake government plot. If I knew nothing else about this situation, I would probably think there’s about an 80% chance the virus will spread. I trust the Harvard and Yale professors equally much, and the tinfoil hat guy not at all. Suppose I saw a prediction market that was only at 10%, because most people trusted the tinfoil hat guy. I would want to buy YES shares until the price got up to 80%, because in expectation I would octuple my money. Suppose I saw a prediction market that was only at 70%. Now I wouldn’t be sure whether the prediction market was dumber than me (believed tinfoil hat guy) or smarter than me (they know a lot about epidemiology - or about the credibility of specific experts - and have decided to trust the Harvard professor over the Yale professor). Maybe I could improve on this. If I knew things about epidemiology, I could read over both professors’ arguments and try to figure out if one was better than the other. If I knew things about academia, I could pick over both professors’ resumes and see whether the Harvard professor seemed more distinguished or had more respect in her own field than the Yale professor. In the end, I might decide the prediction market was right to price it at 70% (in which case I wouldn’t do anything), or that actually both experts seemed equally expert (in which case I might bid it up to 80%), or that actually the Yale epidemiologist was better (in which case I might bid it up to 90%). 3.5.1: Isn’t it weird to give non-experts (like prediction market investors) the final judgment in which of two experts is right? Yes, but I don’t think this is avoidable. If there were no such thing as prediction markets, and the Harvard epidemiologist said 70%, and the Yale epidemiologist said 90%, and the tinfoil hat guy said 0%, and for some reason it mattered a lot to you which of these was true - then you would still have to make that decision. If there’s some extremely authoritative source who can make the decision for you - let’s say the World Health Organization says “after reviewing all experts’ arguments, we believe that the final probability is 75%” - then great! Either: The WHO is clearly the most trustworthy source - in which case we go back to the Nate Silver situation where the prediction market should be just as accurate as it is.
Book Review: The Origins Of Woke
May 01, 2024 · Original source
That one campaign was kind of silly. But aside from that example, I don’t usually hear people talk about AAPIs outside a purely legal context. All my Asian (eg Chinese, Japanese, etc) friends self-identify as Asian. When Everything Everywhere All At Once came out, people said it was a movie about the “Asian” experience. The top Ivy League colleges have an Asian Student Association (Harvard), an Asian American Students Alliance (Yale), or an Asian American Students Association (Princeton), with Pacific Islanders nowhere to be seen. With all due respect, Hanania really doesn’t have much here beyond the #StopAAPIHate thing - which seemed like a weird astroturf campaign in other ways and probably shouldn’t be taken as actual grassroots racial categorization.
Highlights From The Comments On "The Origin Of Woke"
May 07, 2024 · Original source
"But every now and then a claim goes by rather quickly that I wasn’t sure about. For instance, the book cites a statistic that Yale now has as many administrators as it does students; but this is because many employees at Yale’s hospital count as administrators for bookkeeping purposes."
As for the Yale claim, Traldi doesn't provide a link, so I don't know how much the hospital staff affects things. But this article says that there's a 45% increase in administrators in less than two decades, and it doesn't appear to count hospital staff. It pegs number of administrators as about 80% of the number of students without counting the hospital.
https://yaledailynews.com/blog/2021/11/10/reluctance-on-the-part-of-its-leadership-to-lead-yales-administration-increases-by-nearly-50-percent/
Inline links: https://yaledailynews.com/blog/2021/11/10/reluctance-on-the-part-of-its-leadership-to-lead-yales-administration-increases-by-nearly-50-percent/
Links for May 2024
May 29, 2024 · Original source
23: 2017 poll: 40% of Americans believe climate change is more likely than not to drive the human race extinct, but only 16% describe themselves as “very worried”. It looks like this is because most people think it won’t become important until long after they and their children are dead. My impression is that all of this is false: most global warming will happen in the lifetime of today’s young people, and only the extreme right tail of worst scenarios come anywhere near extinction.
Inline links: 2017 poll
35: MIT stops requiring diversity statements. And Yale biochem’s diversity statement rubric goes public:
Inline links: stops requiring diversity statements, goes public
Book Review: From Bauhaus To Our House
December 04, 2024 · Original source
At Yale, in the annual design competition, a jury always picked out one student as, in effect, best in show. But now the students rebelled. And why? Because it was written, in the scriptures, by Gropius himself: “The fundamental pedagogical mistake of the academy arose from its preoccupation with the idea of individual genius.” Gropius and Mies’ byword was “team” effort . . . at Yale, the students insisted on a group project, a collaborative design, to replace the obscene scramble for individual glory.
Sorry, I Still Think MR Is Wrong About USAID
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".
Inline links: 1, Yale economics professor, Center for Global Development senior economist
ACX Grants 1-3 Year Updates
June 18, 2025 · Original source
Since 2022, Alice has undertaken qualitative research in nine world regions: Mexico, Costa Rica, Brazil, Morocco, Italy, Spain, Britain, US, Poland, Turkey, India, Uzbekistan, South Korea and Hong Kong. Through this globally comparative analysis, she analyses the drivers and obstacles to gender equality. Gender interventions will be more impactful if they target locally binding constraints - in the Middle East, North Africa and South Asia, this is "the honour-income trade-off" (whereby male honour depends on female seclusion, and women tend to remain at home. Meanwhile, Latin America and the Caribbean face a different obstacle: pervasive violence elevates femicides. Over the past few years, she's held visiting appointments at Stanford, Chicago, and Yale, while providing policy advice to the World Bank, and sharing insights with a public audience via Substack (www.ggd.world). In April 2025, she gave a TedTalk on romantic love as an under-rated driver of gender equality.
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.
Inline links: Progress and Poverty Substack, Climb Against Time, here, 1
Your Review: Project Xanadu - The Internet That Might Have Been
September 19, 2025 · Original source
Mark Miller, a mathematical wunderkind who’d read Computer Lib and grokked it so hard that Nelson invited him to give a lecture to his UIC class when Miller was just 19, and a sophomore at Yale. The students all thought Nelson was crazy, and so they thought Miller was crazy too. Nelson thought him a genius.
Non-Book Review Contest 2025 Winners
October 17, 2025 · Original source
Project Xanadu, by Ari Shtein. Ari is a freshman at Yale. He has very little idea what to do with his life, but for now is writing on Substack at Mistakes Were Made. If you’ve got advice or a job to offer, he can be reached by email at ari@shtein.net.
Inline links: Project Xanadu, Mistakes Were Made