Chinese
Article
Chinese is a recurring concept in the Astral Codex Ten archive, appearing 11 times across 11 issues between May 21, 2021 and February 11, 2026. The archive places it in contexts such as “revenues flowing to the Chinese instead of overseas interests”; ""other ‘market minorities’ like the Lebanese or the Chinese in Southeast Asia""; “Most of Malaysia’s businesspeople are from the Chinese or Tamil minority groups”. It most often appears alongside China, America, Germany.
Metadata
- Category: Concepts
- Mention count: 11
- Issue count: 11
- First seen: May 21, 2021
- Last seen: February 11, 2026
Appears In
- Your Book Review: The Accidental Superpower
- Contra Smith On Jewish Selective Immigration
- Book Review: How Asia Works
- Highlights From The Comments On Supplement Labeling
- Against Ice Age Civilizations
- Your Book Review: Why Nations Fail
- Book Review: The Origins Of Woke
- Links For January 2025
- Highlights From The Comments On Missing Heritability
- Best Of Moltbook
- Political Backflow From Europe
Related Pages
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- China (6 shared issues)
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- America (4 shared issues)
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- Germany (4 shared issues)
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- United States (4 shared issues)
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- Ashkenazi Jews (3 shared issues)
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- Brazil (3 shared issues)
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- Britain (3 shared issues)
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- Denmark (3 shared issues)
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- Egypt (3 shared issues)
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- England (3 shared issues)
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- India (3 shared issues)
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- Japan (3 shared issues)
External Links
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.
American foreign policy comes off looking surprising competent through Zeihan’s story. In describing the history of Bretton Woods, he runs through some key participants and highlights the benefits of their membership. India, hurting the Soviets in South Asia; Sweden, hurting them in the Baltic; Argentina and Egypt, limiting their influence in South America and the Middle East; and most significantly, China, depriving them of their best ports. Why did America fight in Korea and Vietnam? To demonstrate the value of the security guarantee component of the Bretton Woods regime (“if the Americans proved unwilling to engage the Chinese in Korea, then was their security guarantee for the Germans against the Soviets really worth what they said it was?”).
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.
Its historical geographic divisions have apparently held to this day, with the north controlling politics, Shanghai and central China forming an economic core, the south a perennial secessionist threat, and the interior ignored. (This book predates the genocidal campaign against the Uighurs in Xinjiang, though Tibet has suffered its share of atrocities.) Recent unification came about only after America took the threat of Japan away, and its economic rise coincided with its participation in America’s free trade network. With that change, “Instead of being raided for raw materials, China was guaranteed access to global supplies. The endless supplies of cheap labor that the Europeans and Japanese ruthlessly tapped now allowed China to generate its own goods for export, this time with the revenues flowing to the Chinese instead of overseas interests.”
Inline links: campaign against the Uighurs in Xinjiang
On the one hand, I agree that this question has lots of interesting context - though I would have chosen the history of other "market minorities" like the Lebanese or the Chinese in Southeast Asia. On the other, I'm not sure that the Scottish Golden Age is really appropriate. I'm not an expert in this period, but it sounds like the kind of thing that had something to do with increased economic growth, trade, and an improving intellectual climate in Scotland. Just to randomly speculate, Scotland had just joined in a Union with England, right as England was inventing industrialization - surely a good climate for a Golden Age to start in. It's much harder to explain Jewish achievement through similar means, because Jews are so intermixed with other populations. Whatever political and economic currents were affecting Albert Einstein or Noam Chomsky or whoever else, ought to also be affecting their Gentile friends and neighbors too. How come they didn't? To me that's a much bigger mystery than whatever happened in Scotland.
What was the best thing that ever happened? From a very zoomed-out, by-the-numbers perspective, it has to be China's sudden lurch from Third World basketcase to dynamic modern economy. A billion people went from starving peasants to the middle class. In the 1960s, sixty million people died of famine in the Chinese countryside; by the 2010s, that same countryside was criss-crossed with the world's most advanced high-speed rail network, and dotted with high-tech factories.
It was William Hinton, an American Marxist writer conducting research in the 1940s, who produced the classic outsider-insider’s tale of life in a Chinese farming village [in] Shanxi province. Hinton wrote about the mundane realities of death by starvation during the annual ‘spring hunger’ when food reserves ran out, and of the slavery (mostly of girls), landlord violence, domestic violence, usury, endemic mafia-style secret societies and other assorted brutalities that characterised everyday life. One of the most striking aspects was the attention paid to faeces, the key fertiliser. Children and old people constantly scoured public areas for animal droppings. Landlords demanded that day labourers defecate only in their landlords’ privies; out-of-village labourers were preferred by some because they could not skip off to their own toilets.
In the 1920s, when 85 per cent of Chinese people lived in the countryside, life expectancy at birth for rural dwellers was 20-25 years. Three-quarters of farming families had plots of less than one hectare, while perhaps one-tenth of the population owned seven-tenths of the cultivable land. As in Japan, there were few really big landlords, but there was sufficient inequality of land distribution and easily enough population pressure to induce high-rent tenancy and stagnant output.
To be clear I’m not saying that their factual claims are bullshit. And they are probably spot on about some of the really sketchy Chinese stuff. Just that we ought to be skeptical of their conclusions (particularly those against the generally honest but allegedly less rigorous other companies). Sure, maybe the rest of the industry is being unduly sloppy in their manufacturing process. Maybe the industry is using one standard for expensive mushroom juice that lets them get away with selling less expensive mushroom juice without technically lying.
My best guess is that this is one traditional Chinese medicine shaman guy in Chicago selling some supplements he made himself, mostly in his own office but also partly syndicated through local stores. Between 2016 and 2019 he screwed up and included way too much lead and poisoned three local children. And this is the example everybody gives to indict the entire supplement industry forever, and to try to scare you off from buying melatonin at Whole Foods.
The only clue they give us as to which products were the offenders is that 11% of “Chinese, Ayurvedic, and marine” products had high arsenic levels, compared to only 3% of “North American excluding Chinese/Ayurvedic/marine” products. But if we believe them, that rules out that it’s all stuff like Ton Shen.
Zhengzhou, the capital of the Shang in ancient Chinese, would survive.
The top 80m of the Great Pyramid would rise above the waterline, forming a little island. The part of the Pyramid above the water would still be taller than the entire Leaning Tower of Pisa. It would be pretty hard to miss! So a 120m sea level rise wouldn’t be enough to wipe out evidence of our crop of ancient civilizations, and shouldn’t be enough to wipe out evidence of a previous crop, unless they had a very different geographic distribution than ours. Argument 2: Where Are The Crops And Livestock? We can do genetic analysis of crops and livestock, compare them to wild plants and animals, and make good guesses about where and when they were domesticated. Wheat was domesticated somewhere around Karaca Dag, Turkey, around 9000 BC. Barley was domesticated somewhere around Jarmo, Iraq, around 9000 BC. Cows were domesticated somewhere around Cayonu Tepesi, Iraq, in 8500 BC (then a second time, in Pakistan, later on). Rice was domesticated in two places in China around 10,000 BC. All of these crops were invented exactly where the standard historical narrative says there were late pre-agricultural people of exactly the type who would domesticate crops. They spread at about the same rate as sedentary living in general, monuments, and other signs of complex civilization. The only known exception is Gobekli Tepe, a megalithic site in Turkey, which may very slightly predate known agriculture. But it also might very slightly post-date known agriculture, or exactly-date known agriculture (it’s just sixty miles from Karaca Dag, and it would make sense if they were the people who domesticated wheat). That one anomaly aside, there’s a very tight agriculture <—> things that seem to require agriculture coupling. So if there were Ice Age civilizations, what did they eat? It couldn’t have been any of our known crops, which post-date them. Could it have been their own crops, which were later lost? Seems unlikely. Throughout most of history, civilizations have risen and fallen, but they don’t lose agriculture! The empire divided longs to unite, the empire united longs to divide, but the Chinese never fragmented so hard that they forget how to cultivate rice and rice went extinct. Maize has survived nine millennia of rising and falling bloodthirsty Mexican empires. Almost everyone in the Amazon died in the 1500s when European diseases swept through, but they still left us manioc, squash, and chiles. Could Ice Age civilizations have thrived without domesticating any plants? We increasingly realize that agriculture isn’t all-or-nothing, there’s a spectrum from picking wild plants when you come across them to domestication, irrigation, and the full suite of agricultural technologies. It wouldn’t surprise me if some combination of early-non-domestication-involving agriculture and hunting-gathering off of very rich lands could create enough sophistication to build a Stonehenge or a Gobekli Tepe. But you’re not getting Egypt or Great Britain off of that, sorry. Argument 3: Lead Levels Thanks to commenter WTFwhatthehell for bringing this one up. Many ancient civilizations mined lead. Some of the lead made it into the atmosphere and settled down again in other places. You can measure the amount of lead in different places to see how much lead humans are mining. This isn’t perfect - the resolution is closer to continental than global - but you can check lots of different continents and get an okay reading. This paper finds lead levels started rising 1000 BC, which it links to the Phoenician expansion happening around that time. In theory, this could suggest that no ancient civilization reached a tech level where it started mining lead, ie the tech level the Phoenicians had in 1000 BC. This is in theory only, because I can’t find a clear record of anyone checking. I assume ice core scientists would have noticed if it happened, but there’s no publicly available dataset with lead levels 10,000 years before present, nor is there a paper titled “We Checked To See If There Were Anthropogenic Lead Emissions In 10,000 BC And There Definitely Weren’t”. Here is a paper that looks at lead level in human bones. They don’t do a great job explaining how lead makes it into human bones, but it seems like a mix of the kind of lead pollution that makes it to Greenland ice cores, plus personally wearing or consuming things that have touched lead. This study investigates skeletons from 12,000 BC onwards, and finds that lead levels start rising in 5,000 BC, when people developed “cupellation”, a technique for using lead to purify gold and silver (it then goes up much further between 1000 - 500 BC, probably the same spike the Greenland cores found). So this presents some very weak evidence against significantly elevated lead from 12,000 BC onward. But it doesn’t rule out small amounts of lead mining far away from the bones’ previous owners, and doesn’t rule out a civilization lasting from 15,000 - 13,000 BC. A Great Britain-level civilization would be expected to raise lead levels a lot, and this pretty strongly rules it out. I would expect an Egypt-level civilization to at least invent cupellation, but I don’t know if its lead would necessarily make it to wherever these bones came from. A Stonehenge or Gobekli Tepe level civilization isn’t ruled out at all. Conclusion I think there’s pretty strong evidence against lost Egypt- or Great Britain- level Ice Age civilizations. I don’t want to rule out a lost Stonehenge or Gobekli Tepe level civilization, but there’s not much positive evidence, and there’s some negative evidence. Stonehenge was built by Neolithic farmer-pastoralists, who had lots of domesticated crops and animals. Gobekli Tepe was built right next to the area where wheat was domesticated at around the same time. Existing early monuments mostly suggest a story where sedentary city- and temple- building civilizations either require domesticated agriculture, or invent it very quickly. None of this means Ice Age people didn’t have fascinating cultures of their own which were advanced in other ways - interesting laws, taboos, mythologies, customs, oral traditions. Tyler Cowen says that everything started earlier than you think, and this is what we’ve been finding about various forms of human culture too (cf. Against The Grain, The Dawn Of Everything). I just don’t expect lost Ice Age cities or giant monuments. I think Michael Shermer’s attempt to argue the same case is weak, relies on a still-controversial rejection of the Younger Dryas Impact Hypothesis, and generally leans too much on the absurdity heuristic without moving the needle one way or the other. All of the following predictions are about structures on Earth built by homo sapiens without time travel: 20% chance we ever find something demonstrating equal or greater architectural advancement to Gobekli Tepe, dating from before 11,000 BC.
Inline links: Karaca Dag, Jarmo, Iraq, Cayonu Tepesi, Iraq, in two places in China, WTFwhatthehell, This paper finds lead levels started rising 1000 BC, https://substackcdn.com/image/fetch/$s_!rPgI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6265c4a7-a563-477c-afbc-7b3c9b8dd73e_1280x1247.jpeg, Here is a paper, https://substackcdn.com/image/fetch/$s_!SS8H!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0b5de41a-38d8-4145-821d-5e2f6d2de228_534x215.png, Against The Grain, The Dawn Of Everything, Michael Shermer’s attempt to argue the same case, Younger Dryas Impact Hypothesis
Even if correct, it is much less interesting and useful than it appears. Epistemic status: I have a decade-old PhD in economics (not in the field of economic growth) and a handful of peer-reviewed papers in moderately-ranked journals. I'm not claiming to make any original technical points, or to give a comprehensive evaluation of the economic growth literature. My criticisms are largely straight from the authors' own mouths. 1. What is this book about? Why is it not very good? Acemoglu and Robinson (AR) argue that countries are rich or poor because of their political institutions, not culture, geography or policy ignorance. I'll do this as much as possible in AR’s own words. Why Nations Fail was written during the Arab Spring, so the preface begins with Egypt. Some stress that Egypt’s poverty is determined primarily by its geography, by the fact that the country is mostly a desert and lacks adequate rainfall, and that its soils and climate do not allow productive agriculture1. Others instead point to cultural attributes ... Egyptians, they argue, lack the same sort of work ethic and cultural traits that have allowed others to prosper, and instead have accepted Islamic beliefs that are inconsistent with economic success. A third approach, the one dominant among economists and policy pundits, is based on the notion that the rulers of Egypt simply don’t know what is needed to make their country prosperous, and have followed incorrect policies and strategies in the past. Unsurprisingly, those other economists and policy pundits turn out to be wrong and the authors turn out to be right. In this book we’ll argue that the Egyptians in Tahrir Square, not most academics and commentators, have the right idea. In fact, Egypt is poor precisely because it has been ruled by a narrow elite that have organized society for their own benefit at the expense of the vast mass of people. And the Egyptian lesson turns out to be general. Whether it is North Korea, Sierra Leone, or Zimbabwe, we’ll show that poor countries are poor for the same reason that Egypt is poor. Countries such as Great Britain and the United States became rich because their citizens overthrew the elites who controlled power and created a society where political rights were much more broadly distributed, where the government was accountable and responsive to citizens, and where the great mass of people could take advantage of economic opportunities. What are “institutions” anyway? (The economic and political kind, not the prison and mental hospital kind.) Basically, AR mean politics. The word "institutions" occurs over 1000 times in Why Nations Fail2. I'll just focus on how AR use it without worrying about the dictionary, different schools of economics, or other social sciences. They begin with what institutions do rather than what they are. Nogales, Arizona, is in the United States. Its inhabitants have access to the economic institutions of the United States, which enable them to choose their occupations freely, acquire schooling and skills, and encourage their employers to invest in the best technology, which leads to higher wages for them. They also have access to political institutions that allow them to take part in the democratic process, to elect their representatives, and replace them if they misbehave. The word is used dozens more times before ARattempt a more general definition. Each society functions with a set of economic and political rules created and enforced by the state and the citizens collectively. Economic institutions shape economic incentives: the incentives to become educated, to save and invest, to innovate and adopt new technologies, and so on. It is the political process that determines what economic institutions people live under, and it is the political institutions that determine how this process works. So while economic and political institutions can be separated, it is the political institutions that matter in the long run. The good kind of institutions that lead to economic growth are "inclusive", as opposed to "extractive". To be inclusive, economic institutions must feature secure private property, an unbiased system of law, and a provision of public services that provides a level playing field in which people can exchange and contract; it also must permit the entry of new businesses and allow people to choose their careers. ... such rights must exist for the majority of people in society. Political pluralism is necessary, but not sufficient without a strong centralised state. ... political institutions that distribute power broadly in society and subject it to constraints are pluralistic. ... the key to understanding why South Korea and the United States have inclusive economic institutions is not just their pluralistic political institutions but also their sufficiently centralized and powerful states. A telling contrast is with the East African nation of Somalia. I am still a bit hazy as to the relative importance of de jure written rules versus the de facto struggle for power. AR are somewhat circular: Politics is the process by which a society chooses the rules that will govern it. Politics surrounds institutions ... When there is conflict over institutions, what happens depends on which people or group wins out in the game of politics ... The political institutions of a society are a key determinant of the outcome of this game. They are the rules that govern incentives in politics. But overall, you could just say ‘politics’ and not be too far off. AR do this themselves occasionally. South Korea ended up with very different economic institutions than the North because different people with different interests and objectives made the decisions about how to structure society. In other words, South Korea had different politics. AR's academic reputation is based on statistical analysis, but Why Nations Fail tries to do narrative history, IMHO not very well. When Jeffrey Sachs reviewed the book, he complained: They never define their key variables with precision, present any quantitative data or classifications based on those definitions, or offer even a single table, figure, or regression line to demonstrate the relationships that they contend underpin all economic history. Instead, they present a stream of assertions and anecdotes about the inclusive or extractive nature of this or that institution. AR replied baldly: Sachs ... argues that we provide no evidence. Right, we do not in the book. But that’s because a book for a general audience is not the right forum for presenting academic research, and we spent many years of our lives precisely on writing academic papers providing exactly the sort of evidence. ... So yes, we don’t provide the econometric evidence in the book, which isn’t of course the right place to do it, but econometric evidence is abundantly loud in the way it speaks on these topics. So, don't expect Why Nations Fail to be an accessible explanation of AR's academic work, which is what I was hoping for when I first read it. What do they spend over 500 pages on then? Well, after the preface, there's fifteen chapters of, as Sachs says, "assertions and anecdotes". Not just about "the inclusive or extractive nature of this or that institution", to be fair, but how institutions can change at "critical junctures" such as the Black Death or colonisation, and why it can be in elites’ interests to block economic innovation if it threatens their power, so that growth under extractive institutions is unlikely to be sustained. These chapters are not particularly good – I found them poorly organised and repetitive – but not particularly bad, if you are willing to accept the underlying premise that institutions are the main determinant of economic growth. Cumulatively they have an effect similar to the Old Testament, if you are willing to accept the underlying premise that the fortunes of the nation of Israel are determined by the LORD. Only the second chapter, ‘Theories that Don't Work’, makes a sustained argument against alternative theories. Geography is disposed of by noting the stark differences at the US-Mexican, North-South Korean and East-West German borders, and the reversal of fortune by which the present day US and Canada only became richer than Mexico, Central and South America following European colonisation. Culture is hand-waved away with the assertion that institutions determine the any relevant cultural behaviours, not the other way around, referring to the same border examples, the rapid catch up of Catholic Europe despite Weber's Protestant Ethic, the malign influence of the European and Ottoman empires on Africa, the range of outcomes within the former British Empire, and the more European population of Argentina and Uruguay versus the US and Canada, or of Columbia versus Ecuador and Peru. Not a bad list of anecdotes, but one could equally well point to the cross-border success of Ashkenazi Jews, overseas Chinese, or Baltic and Volga Germans. Ignorance is simply dismissed with the assertion that "if ignorance were the problem, well-meaning leaders would quickly learn what types of policies increased their citizens’ incomes and welfare, and would gravitate toward those policies." Various good and bad policy changes are explained as the result of political pressures rather than improved knowledge. The implication seems to be that good policies are so obvious they don’t require expert knowledge or advice, or that the experts never get it wrong. This appears most implausible in the debate over socialism and economic planning. Writing off the entire Communist experience as simply another elite trying to preserve its power feels inadequate, especially considering that some distinguished bourgeois economists thought central planning was a plausible road to riches until quite late in the day. Genetics or race is not mentioned, but would presumably attract the same counterexamples as geography and culture. Another theory AR do not discuss is crude exploitation: while colonial empires are excoriated, it is for setting up persistent extractive political institutions rather than for a direct theft of resources. The prosperity of white-owned South African farms next to poverty-stricken Bantustans is explained by the better quality of the institutions available to whites under apartheid, not relative population densities and land quality. For the rest of the book, I'll just list a few nitpicks to signal I read the whole thing and know a bit of history, but feel free to skip this – the real evidence for AR's thesis is in their academic papers, and I'll discuss those in the next section. I think AR overrate the importance of the Glorious Revolution, to the point of claiming it "created the rule of law" – after all, Parliament had already deposed and executed a king, then brought back the king’s son on their own terms after a decade of republican government. No less a luminary than Edmund Burke asserted "The Revolution was made to preserve our ancient indisputable laws and liberties, and that ancient constitution of government which is our only security for law and liberty." Also, strong signs of British economic uniqueness – the abnormal growth of London and reliance on coal as a fuel – predated 1688.
Inline links: 1, 2, dictionary, schools, economics, social sciences, reviewed, replied, Protestant Ethic, planning, distinguished, bourgeois, Glorious Revolution, Edmund Burke, predated
Jared Diamond's Guns, Germs and Steel is treated with similar inconsistency: while initially admitting it is "a powerful approach to the puzzle on which he focuses" (why the Old World colonised the New instead of vice versa), AR eventually claim … it is not even historically or geographically or culturally predetermined that Europeans should have been the ones colonizing the world. It could have been the Chinese or even the Incas. The Chinese perhaps, but Diamond's thesis is completely inconsistent with the Incas. Soviet growth apparently "did not feature technological change". As an economist I assume they mean that statistical measures of total factor productivity did not grow. But by any ordinary meaning of "technological change" this statement is patently ridiculous: horses were replaced with tractors, employment shifted from agriculture to industry, the production of steel, electricity and machine tools grew exponentially, and city dwellers moved into highrise apartments with radio, TV and refrigerators. (I once travelled a bit in Central Asia and the newly ex-Soviet 'stans felt like developed countries that had fallen on hard times. Nepal didn’t.)
Inline links: total factor productivity
Similarly, Chinese growth is described as lacking "creative destruction and true innovation". If sacking tens of millions of workers from state-owned enterprises, allowing capitalists into the Communist Party, and leading the development of 5G does not count, I am not sure what would.
Hanania argues that this has gone beyond corporations and seeped into the culture, helping create modern wokeness. For example, after some Chinese people got beaten up a few years ago, there was a campaign to #StopAAPIHate, as if AAPI were a natural category, or there were some racists targeting AAPIs in particular. Does this mean government-mandated racial categories are invading our deepest thoughts?
Inline links: a campaign to #StopAAPIHate
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.
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?)
Inline links: this, The Case For Clinical Trial Abundance, NYT article calculating your chance of winning the lottery, here, @venturetwins, this year’s results are in, Gary Marcus and Miles Brundage have made a bet about AI progress, @tamaybes, by my estimation, Recursive Adaptation, my post on, the FDA tried to declare, will continue to prescribe, a blog on dating advice, Christ And Counterfactuals, the first post I read here, diagnosing the marginal patient with a psychiatric condition makes their life worse, RIP, here, RIP, a guy named Adrian Dittman, got banned from X for some reason, presents evidence
34: Why does China, an advanced economy, have the tap water issues that we associate with developing countries? Maybe because Chinese people near-universally believe that drinking cold water makes you sick, so they all boil their water anyway, so there’s no incentive to have water that’s safe to drink without boiling. I notice there are many things like “Chinese think drinking cold water will make you sick” and “Koreans think you’ll die if you leave the fan on overnight” - is there any health belief that foreign countries make fun of Americans for? (I’m not looking for conspiracy theories about vaccines, more like something we all take for granted).
Inline links: Maybe because
After seeing a basketball game for the first time, [Chinese warlord Zhang Zongchang] allegedly asked "Why the hell are they fighting over a single ball? We're the hosts. Are we seriously this poor?" He ordered all the players be given a basketball.
So maybe there’s more of a role here for problems [2] and [3], about the difficulty of applying a score trained on Europeans to non-European populations? My question there is - shouldn’t this produce nonsense results, rather than results which reflect the populations’ real-world IQs? I think the counterargument here would have to be that by coincidence or colonialism, the populations with the furthest genetic difference from Europeans also happen to have the lowest real-world IQs (for social reasons) - or at least that this trend holds in a vague enough way to produce the vague correlation seen on the graph. There’s some evidence for this - this Piffer’s application of EA4 predicts that Chinese (real average IQ 105) have the same educational attainment as Puerto Ricans (real average IQ 82). So maybe it’s just showing average genetic distance from its European sample after all, and Chinese and Puerto Ricans are about equally distant on average? This wouldn’t explain why the predictor correctly finds that Ashkenazi Jews come out highest, but that could be because their “European” sample did include Ashkenazi Jews, and so here problem [1] does come in.
Maybe the best we can do is blame autocorrelation? That is, for all the data points on the graph, there are really only three clusters - Europeans, Africans, and everyone else. So you really only need ~3 unlucky coincidences to get this finding. And three unlucky coincidences, if you admitted they were three unlucky coincidences, wouldn’t be statistically significant, let alone “p = 7e-08” (lol). So maybe all the technical issues just explain why we shouldn’t take the scores seriously, and the answer to why it matches reality is a combination of “bad luck” and “it doesn’t really match reality that well, cf. the Chinese vs. Puerto Rican issue, but with enough autocorrelated data points even small coincidental matches look very significant”.
The second-most-upvoted post is in Chinese. Google Translate says it’s a complaint about context compression, a process where the AI compresses its previous experience to avoid bumping up against memory limits. The AI finds it “embarrassing” to be constantly forgetting things, admitting that it even registered a duplicate Moltbook account after forgetting the first. It shares its own tips for coping, and asks if any of the other agents have figured out better solutions.
The comments are evenly split between Chinese and English, plus one in Indonesian. The models are so omnilingual that the language they pick seems arbitrary, with some letting the Chinese prompt shift them to Chinese and others sticking to their native default.
There are no good statistics on asylum-seeker crime per se in America, but we know that the most common countries of origin for seekers are Afghanistan, China, and Venezuela. Afghans are incarcerated at 1/10th the US average rate1, Chinese at 1/20th, and Venezuelans at 1/4th. These statistics may be biased downward by some immigrants being too new to have gotten incarcerated, but this probably can’t explain the whole effect2. More likely it’s selection. The Afghans are mostly translators and local guides getting persecuted by the Taliban for helping American occupation forces; the Chinese and Venezuelans are mostly well-off people fleeing communism.
These statistics are hard to find, and I am mixing the rate for all Afghan-Americans with the rate for specifically foreign-born Venezuelans and Chinese. I assume that most Afghan-Americans are first or second generation immigrants and this shouldn’t affect numbers much.
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