Events: I

Named parties, readings, programs, and event series. This section collects the I 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.

Iraq War

Iraq War is a recurring event in the Astral Codex Ten archive, appearing 6 times across 6 issues between March 15, 2021 and April 30, 2024. The archive places it in contexts such as "Iraq-War-era exasperation"; "Iraq War and various bailouts"; "soldiers can continue fighting for their fellow combatants despite widespread disillusionment with the mission itself as seen in the Iraq war". It most often appears alongside China, US, Iraq.

Article page
Iraq War
Mention count
6
Issue count
6
First seen
March 15, 2021
Last seen
April 30, 2024
  • China 5 shared issues
  • US 4 shared issues
  • Iraq 3 shared issues
  • Scott 3 shared issues
  • Trump 3 shared issues
March 15, 2021 · Original source
The current interest in forecasting grew out of Iraq-War-era exasperation with the pundit class. Pundits were constantly saying stuff, like "Saddam definitely has WMDs, trust me, I'm an expert", then getting proven wrong, then continuing to get treated as authorities and thought leaders. Occasionally they would apologize, but they'd be back to telling us what we Had To Believe the next week.
May 04, 2021 · Original source
There were some other supposed examples of neoliberal practice contradicting liberal ideology - although I can’t find easily quotable bits, I think he’s thinking of the Iraq War and various bailouts (though not the 2008 bailouts, since this book was written in the early 2000s). I agree that the government has not been a perfect ideological neoliberal at all times, but this impresses me less than it seemingly impresses David Harvey. Again, I think this critique is strong enough to apply to any ideology - what government has ever perfectly followed the diktats of socialism, or conservatism, or theocracy? The government is a blob of power that gets captured by different groups at different times and directed willy-nilly to one purpose or another; just because it does not perfectly follow a specific philosophy without deviation for fifty years doesn’t make that philosophy inherently fraudulent.
June 24, 2022 · Original source
Second, Mearsheimer, Bosen, and Waltz argued that nationalism is strong enough to make states act like unitary actors. However, nationalism only appears strong when compared to the pull of universalist ideologies like Marxism or liberalism, because soldiers can continue fighting for their fellow combatants despite widespread disillusionment with the mission itself as seen in the Iraq war. Nationalism is weaker than financial self-interest, as no viable army can exist without paying soldiers market salary, and states need laws like tariffs to protect domestic industry; nationalism is also weaker than familial interests, as states need laws against nepotism.
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.
Counterinsurgency (COIN) In the case of Afghanistan, the Bush administration was so eager to go to war it avoided any other options. No evidence has ever emerged that Taliban (the political faction that ruled Afghanistan at the time) itself knew about the 9/11 attacks, much less planned it; the Afghan ambassador to Pakistan condemned the attacks on 9/12. “We don’t negotiate with terrorists” became the standard American line — before the war began, Taliban was willing to discuss bin Laden’s fate but the White House Chief of Staff refused; after the war began, Taliban was willing to hand over bin Laden to a third country for trial but White House refused just the same. In the case of Iraq, Bush was so eager to, in his own words, “Fuck Saddam, We’re taking him out” as early as February 2002 (and floated the idea of invading Iraq to Tony Blair), that on 9/17 Bush told his cabinet “I believe Iraq was involved, but I’m not gong to strike them now. I don’t have the evidence at this point.” The administration couldn’t find any evidence directly tying Saddam to 9/11, so they settled on the now-discredited lies of WMDs and “ties” between al-Qaeda and Iraq. “We don’t negotiate with terrorist”’ extended to the non-terrorist Saddam — before the war, Saddam was cooperating with the International Atomic Energy Agency; after the war began, Saddam was willing to accede to practically all Amercan demands but White House refused communication just the same. Just like in Afghanistan, the Bush administration had no interest in exploring any other option short of war. Two feuding factions within the Bush administration had little contact with each other: the war hawks (neocons like Cheney i.e. products of Lockheed Martin), supported by the Pentagon, did not want to do nation-building; those partial to nation-building (the State Department) did not want war. Bush agreed with the former at the start of the war, but once Saddam was removed, sided with the latter. The postwar plan for Afghanistan was officially determined by the Bonn Agreement of 2001, but neither Bush nor Cheney consider it to be worthy of much thought in their memoirs despite years of hindsight; the postwar plan for Iraq lay entirely in the hands of Paul Bremer as subsequent Deputy Committee meetings on Iraq stopped being conducted — there wasn’t a single meeting to discuss disbanding the Iraqi army that left 400,000 jobless former soldiers prime for insurgency. The Iraq war dealt with no real crisis but cost the US trillions of dollars and thousands of lives, plunged Iraq into two decades of intermittent civil war — a candidate for the worst American foreign policy failure in history, but a success for the careers of Bush (who won reelection and congressional seats) and his advisors who led the US into Baghdad (who went on to work for think tanks, the World Bank, and the Trump Administration). Once again, there is no grand strategy as each party was only self-interested in short-term gains. The Earlier Obama Years As a candidate, Obama campaigned in support of the Afghanistan war, and indeed his first foreign policy decision as president was to send thousands of additional troops to Afghanistan, largely due to overwhelming political pressure from top generals like Petraeus and McChrystal who boxed Obama into sending more troops by limiting the options presented to Obama, blatantly lobbying in press interviews, and threatening dire consequences like resigning from commanding troops in Afghanistan. We know Obama was hesitant as he announced at the same time that American troops would begin withdrawal in July 2011 (by 2015 he announced that American troop presence would stay in Afghanistan indefinitely). Obama’s second decision was to bomb al-Qadhafi in the name of Libyan regime change, due to domestic but this time also international political pressure from the heads of France and the UK who would face political embarrassment if Qadhafi’s regime, despite months of bombing and sanctions by the US-led coalition, recaptures the rebel-held Benghazi. NATO forces bombed al-Qadhafi’s convoy. Ten days after the killing of the dictator, the bombing campaign ended, and the subsequent decade of intermittent civil war faded from the American consciousnesss. Obama’s third decision was to cripple Assad’s regime in Syria with sanctions and by arming and training rebels, again due to overwhelming political pressure from hawkish ‘foreign policy community’ who still criticise Obama for having ‘done nothing’ despite spending $1 billion through the CIA and $500 million through the Pentagon, and crushing the Syrian economy. Top officials in the Obama administration admitted that assisting rebels would not change the course of war, nor was there any way to prevent arms from ending up in the hands of ISIS and al-Qaeda. Indeed, the Syrian civil war only got bloodier with American involvement. The Later Obama Years Obama’s first major decision was the war on ISIS with the reentry into Iraq from which all American troops withdrew just a few years ago in 2011, due to overwhelming political pressure and in the face of a potentially humanitarian catastrophe (ISIS was going to massacre the Yazidi religious sectarians in Mount Sinjar). This time, the United States would roll back all territorial gains of the Islamic State by working with the Iraqi government, Shia militias in Iraq, and the Kurdish-led Syrian Democratic Forces. Obama’s second decision was signing the Joint Comprehensive Plan of Acton (JCPOA) with Iran to stop its nuclear weapons programme in exchange for UN and EU sanctions to be lifted, $100 billion in assets seized by the US to be returned to Iran, and the US to stop implementing secondary or third-party sanctions. This time, Obama faced unusually significant pressure from Congress which passed the Iran Nuclear Agreement Review Act by overwhelming majority to be able to revoke JCPOA, but Obama signed JCPOA with Iran nonetheless as enough Democrats would be able to sustain a veto. This was the one and only decision that made sense from the perspective of classical IR theory — American leaders doing things they think are right for the country without a clear political payoff. Indeed, the Iranian nuclear agreement is the exception that proves the rule of public choice, as the deal was only possible near the end of Obama’s second term, and at the end cancelled by Trump upon entering office — a president’s foreign policy accomplishment made without the support of concentrated interests only lasted as long as his administration. 6. Learning From American Foreign Policy Failures IR theorists widely acknowledge that it was a mistake to invade Vietnam and Iraq, and even the war in Afghanistan went on for too long even if it was originally justified, but these scholars have yet to comprehend the shortcoming of the unitary actor model in accounting for the lack of rational cost-benefit analysis. Comparing the pre-invasion GDP of the countries to what the US has sacrificed (even setting aside the number of lives lost), the GDP-to-money-spent ratio has been 1:74 in South Vietnam, 1:43.3 in Iraq, and a staggering 1:396 in Afghanistan. In other words, the United States has spent in Afghanistan the equivalent of that country’s level of production for close to four centuries. Cost-benefit analysis also fails outside the major wars: NATO, despite the collapse of the USSR, is willing to absorb practically any country including states that can drag the US into war without contributing anything to American security; the military expenditure in Japan and South Korea, despite anti-China talks in Washington, are either flat or declining. While an utter failure in humanitarian and economic terms, American foreign policy has a been a resounding “success” from the public choice perspective: Lockheed Martin received $36 billion in government contracts in 2008 alone (more than any company in history)
September 28, 2022 · Original source
Third, be careful saying that certain categories of very extreme thing won’t happen. People who want to argue with you will rules-lawyer the definition of those words until they do. For example, it might have seemed like a fair prediction in 2000 that Britain would not commit genocide in the next twenty years. Genocide is an extreme event that usually happens in dysfunctional countries like Cambodia or Rwanda, and Britain is a developed liberal democracy. But you would have to deal with the people who think Britain committed genocide by being in the Iraq War, or that Boris Johnson’s COVID policy constituted genocide (an argument by a professional genocide scholar, no less). Some people argue that various forms of opposition to gay or trans people constitute genocide, in the sense that it keeps them in the closet and prevents them from being a unique culture/population - and isn’t destroying unique cultures/populations genocide by definition? Unless you want all these people using you as a foil and example of a regime dupe, be very careful to clarify exactly what you’re saying (“I don’t think the British government will violently kill tens of thousands of members of its own population” might be safer than “I don’t think Britain will commit genocide”).
August 11, 2023 · Original source
Meanwhile, what is happening in the non-Western world? I can imagine two replies to this. One corresponds to what people often say about the Iraq war: “you can’t just import institutions into a place where the culture isn’t ready”. You can tell this in a key of triumphalism – the West is always going to be richer, until the Rest of the world changes radically – or a key of despair – the Rest is never going to become democratic. At the end, briefly, the book seems to lean this way: “standard approaches to policy are poorly equipped to understand or deal with the institutional-psychological mismatches that arise from globalization.”
April 30, 2024 · Original source
It seems to me that if we were to cut medicine in half, figuring out which half to cut would be among the most consequential decisions in history. For example, if we foolishly tried to cut out all treatments that start with letters A - M, then we would lose antibiotics, appendectomies, AIDS medications, etc. I would expect even small mistakes in this process to cause more deaths than 9-11, the Iraq War, or other things we think of as greatly consequential.
Inkhaven

Inkhaven is a recurring event in the Astral Codex Ten archive, appearing 5 times across 5 issues between August 04, 2025 and March 30, 2026. The archive places it in contexts such as "Lighthaven (the rationalist community campus in Berkeley) is hosting Inkhaven - a blogging bootcamp"; "He will attend Inkhaven this November"; "Inkhaven, a “blogging residency” where forty-one early-career would-be bloggers stay". It most often appears alongside ACX, Berkeley, Gwern.

Article page
Inkhaven
Mention count
5
Issue count
5
First seen
August 04, 2025
Last seen
March 30, 2026
August 04, 2025 · Original source
2: Lighthaven (the rationalist community campus in Berkeley) is hosting Inkhaven - a blogging bootcamp aimed at people who want to blog more but struggle with motivation. Selected fellows will live on site for the month of November, and write one blog post per day or else be kicked out. There will be some mentors around including Gwern, Scott Aaronson, and me. I don’t want to over-endorse this - I have no idea whether it will create any kind of lasting motivation or tendency that sticks around after the program, for most people blogging is a low-reward activity, and the cost is pretty steep - but I think it’s a good experiment for Lighthaven to try, and trust potential applicants to make good choices for their own situation. Cost is $2,000 (program only) to $3,500 (program plus housing for one month) to $4,700 (program _ housing + meals). Some financial assistance available. Apply here. And yeah, they should have called it “Writehaven”.
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.
‘Red Means No’ Orgies, reviewed by Eneasz Brodski. Eneasz is best known for creating the full-cast HPMOR audiobook/podcast, and he now podcasts at The Bayesian Conspiracy covering rationalist general-interest topics. He has also published the novel What Lies Dreaming, a Lovecraftian horror set in 2nd century Rome. He blogs at Death Is Bad and will be participating in the Inkhaven residency this November.
November 03, 2025 · Original source
3: This November, Lighthaven is sponsoring Inkhaven, a “blogging residency” where forty-one early-career would-be bloggers stay with them for the month and have to write one post per day or get kicked out. Follow along here. You may recognize this year’s book review contest winner Bill Friedman, last year’s winner AmandaFromBethlehem, ACX meetup czar Skyler, and last year’s ACX grantee Sasha Putilin. And here is a prediction market on how many people get kicked out.
January 26, 2026 · Original source
1: Inkhaven was a blogging residency/bootcamp/program in Berkeley last November. The conceit was that residents had to write one post per day for thirty days, or else get kicked out without a refund. I ran some sessions, and so did other people you might recognize like Gwern, Zvi, Ozy, Aella, and Scott Aaronson. People seemed to like it (average rating 8/10, see also reflections here, here, here, here, here, here, here, here, etc; when you make forty people write every day, you sure do end up with a lot of written reflections on the experience). They’re doing it again this April, and you’re invited to apply. You’ll need ~$3,500 (some scholarships available) and a month free. I plan to help again. Application deadline March 1.
March 30, 2026 · Original source
5: I’ll be away the next few weeks on an Important Journalistic Fact-Finding Mission. I’ll post some old essays from the queue, but they might not be very timely, and I’ll respond to comments and emails less than usual. This also means I’ll miss the first half of Inkhaven - sorry to anyone who I told I would be there - but I’ll still be around for the second half.
I Believe We May Be At Another Point Like March 2020 With COVID

I Believe We May Be At Another Point Like March 2020 With COVID is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 18, 2021 and July 18, 2021. The archive places it in contexts such as "post from the subreddit: I Believe We May Be At Another Point Like March 2020 With COVID". It most often appears alongside Byrne Hobart, Delta, effective altruism.

Mention count
1
Issue count
1
First seen
July 18, 2021
Last seen
July 18, 2021
July 18, 2021 · Original source
2: Some good comments on the most recent prediction market post (also some less good ones - before you hit “post”, see if you’ve accidentally proven the stock market can’t exist). See eg Shaked running some of the numbers and finding it might work for a few very important people/issues, but maybe not for smaller things. Also, apparently Byrne Hobart had a similar (though less crazy) idea two years ago; I regret unintentionally copying him without credit. 3: “Comment” (or whatever) of the week is this post from the subreddit: I Believe We May Be At Another Point Like March 2020 With COVID. I haven’t looked into this as much as I want to, but the little I know about Delta is really concerning.
I-TECH

I-TECH is a recurring event 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 "But there were three new big RCTs - I-TECH from Malaysia". It most often appears alongside 2006 Ioannidis paper, ACTIV-6, Alexandros.

Reference entry
I-TECH
Mention count
1
Issue count
1
First seen
February 01, 2023
Last seen
February 01, 2023
February 01, 2023 · Original source
But there were three new big RCTs - I-TECH from Malaysia, and ACTIV-6 and COVID-OUT from the United States. All three found no effect. With these studies (notably from low-parasite areas) meta-analyses of mortality no longer show any effect.
You can read Alexandros’ criticisms of ACTIV-6 trial here (1, 2, 3, 4), and his criticisms of I-TECH here. I don’t think he’s criticized COVID-OUT yet, but I’m sure it’s only a matter of time.
This isn’t how mainstream medicine thinks about this in any other context, and if true it’s much more interesting than a debate around one particular repurposed dewormer. I try to respond in Pascalian Medicine. But since then, there’s been more evidence that ivermectin at the doses used in COVID studies might be harmful. Both the I-TECH study and Dr. Bitterman’s analysis found more severe side effects in ivermectin groups compared to placebo. Not only does this challenge ivermectin in particular, but using it as a test case calls Omura’s Wager into question more generally.
I-TECH study

I-TECH study is a recurring event 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 "Both the I-TECH study and Dr. Bitterman’s analysis found more severe side effects". It most often appears alongside 2006 Ioannidis paper, ACTIV-6, Alexandros.

Reference entry
I-TECH study
Mention count
1
Issue count
1
First seen
February 01, 2023
Last seen
February 01, 2023
February 01, 2023 · Original source
This isn’t how mainstream medicine thinks about this in any other context, and if true it’s much more interesting than a debate around one particular repurposed dewormer. I try to respond in Pascalian Medicine. But since then, there’s been more evidence that ivermectin at the doses used in COVID studies might be harmful. Both the I-TECH study and Dr. Bitterman’s analysis found more severe side effects in ivermectin groups compared to placebo. Not only does this challenge ivermectin in particular, but using it as a test case calls Omura’s Wager into question more generally.
IAAO conference

IAAO conference is a recurring event 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 "a slide from Gwartney's presentation, which is itself taken from an IAAO conference". It most often appears alongside /r/georgism, ACX community, Aggregate Land Rents, Expenditure on Public Goods, and Optimal City Size.

Reference entry
IAAO conference
Mention count
1
Issue count
1
First seen
December 11, 2021
Last seen
December 11, 2021
December 11, 2021 · Original source
If you under-assess a property's land by 15%, the assessed value is 85% of the true value. Take 85% of that and now you're collecting 72.25% of land rents. If you over-assess a property's land by 15%, the assessed value is 115% of the true value. If you take 85% of that, you get 97.75%. Collect all that and you're still leaving 2.25% of the land rents on the table, but you're not going over. This is comforting, but frankly, all the evidence I've seen so far suggests that we're chronically and consistently under-assessing the value of land. But even if we can assess things accurately, it's a moot point if we can't afford to hire enough assessors to do the job thoroughly. 3. How Many Assessors do you need? Another critique about assessment is that you're going to need an army of property assessors peeking inside windows at all hours of the night, and that it's all going to be ruinously expensive. Here's a slide from Gwartney's presentation, which is itself taken from an IAAO conference. Gwartney says that when he was the assessment commissioner and chief executive officer in British Columbia, he had a staff of 690, and that this number has not changed significantly since then. British Columbia has a population of about 5 million, so that's 1 assessment officer for every 7,250 British Columbians. For context, the IRS has a staff size of 74,454, or about one IRS agent for every 4,425 Americans. I don't have data on how many property tax assessors the USA has in total, but the above slide suggests British Columbia's figure is on the high end. As for how you actually do assessments, sure, you can send out an army of assessors to value each and every property in your jurisdiction by hand. However, not only is that labor-intensive, it's also a recipe for inconsistency. Whatever method you're using to value properties needs to be consistent and standardized across all properties, so you don't have sharp discontinuities on the assessment map that are due solely to differences between Assessor Fred and Assessor Sally's personal methodologies. Thankfully, we're living in the modern age, and we have some fancy new tools at our disposal. 4. Modern Technology Georgists were doing split-rate assessments to allegedly good success long before the rise of the computer, such as J. J. Pastoriza's effort in setting up a Georgist tax regime in Houston, Texas in 1911. Today, we have spreadsheets, property value databases, GIS mapping visualizations, regression analysis, machine learning...the works. According to Gwartney, the Canadian province of British Columbia has revalued all its land and all its property on an annual basis simply by using computers and market analysis, ever since he first helped them set up their system back in 1975. Not every jurisdiction revalues their land this thoroughly and this often, but Gwartney says there is no significant technical or staffing barrier standing in the way. Gwartney has been retired for some time, so his seminar didn't cover all the latest cutting-edge techniques that have come out in the last few years. Let's look at some recent papers and see what new tools assessors have to play with. The first on my list is Land Value Appraisal Using Statistical Methods by Kolbe, Schulz, Wersing, and Werwatz (2019). This is a study on mass appraisal techniques using real estate transaction data from Berlin, Germany. It claims that not only are the results cheaper and faster to generate than those done by conventional property assessment methods, but they are also no less accurate than those done "by hand" by experts. Kolbe et al. assert that, provided you have access to high quality market transaction data, you can perform accurate and efficient mass appraisals of land values. They chose Berlin because it "has a very effective system of property transaction data collection and storage," in contrast to other parts of Germany. They cite some prior work by Almy (2014) studying Canada, the Netherlands, and the United States, suggesting that the assessment cost per property can be brought down to 20 Euros–25 times cheaper than what some other people (Fuest, et al. (2018)) assert. Given an average tax receipt of 2,000 Euros per property, this means that the assessment cost should represent only about 1% of the funds raised. Is that good? Let's take this assertion at face value for the moment and compare it to the cost of the IRS. Federal tax receipts in 2020 were $3.42 trillion, and operation costs for the IRS were $12.3 billion, or 0.36%. However, the IRS outsources most of the labor of tax preparation to the taxpayers themselves, with compliance costs estimated between $200 billion and $400 billion a year, to the delight of Intuit. Add that up and the total cost of federal tax collection to the economy is anywhere between 6-12% of the amount it raises. And what about sales tax? According to a 2006 report by PriceWaterHouseCoopers: The study finds that the national average annual state and local retail sales tax compliance cost in 2003 was 3.09 percent of sales tax collected for all retailers, 13.47 percent for small retailers, 5.20 percent for medium retailers, and 2.17 percent for large retailers So a compliance cost of 1% would be way more efficient in terms of cost collection than the other two most common forms of taxation, and taxpayers don't even have to do anything themselves, other than pay the bill. Alrighty, how about the accuracy? The authors cite two international examples, Australia and Lithuania, as among the few countries in the world that have both a Land Value Tax and statistical methods for mass appraisals. Hefferan and Boyd (2010) assert that objections to assessments from property owners in Australia are less than 1%. I'm willing to buy the improved efficiency claims just by taking a look at some methodologies. It seems reasonable that computerized records and algorithms can cut costs significantly; the real question is if you're trading off accuracy. The other papers I found on the subject are Bencure, et al (2019) in BayBay City, Philippines, Kilić, et al (2019) in Croatia, Yalpir & Unel (2017) in Konya, Turkey, and Raslanas et al. (2014) in Vilnius, Lithuania. Let's dive in and examine some methods. 5. Mass Appraisal Methods Here are some of the latest mass appraisal methods cribbed from the research papers listed above. All of these are based on taking market transaction data, plotting them out on a map, and running computations over them to estimate valuations for the properties you don't have known values for. Furthermore, all of these methods are able to value land and building values separately. Multiple Regression Analysis This paper by Yalpir and Unel out of Turkey gives a straightforward example of using Multiple Regression Analysis for land valuation. For those of you who didn't study math, let me explain regression analysis. This is a family of mathematical models where you basically take a data set, ask the question "what mathematical formula would best fit this data," choose a basic equation model, and then have a computer search for a set of coefficients that "best fit" that curve to the data with the least amount of error. The simplest example is using linear regression on a scatterplot of observed data points to fit a trend line. This is a common exercise in freshman physics and statistics classes. You can use more complicated versions of this numerical method to take a big bag of observations (real estate sales) and use "multiple regression" to tease out dependent variables (land value and improvements value) based on the independent variables (size, location, age, number of bedrooms) of your observations. In this case the team identified about a hundred different factors that can affect the price of a property: Then you create an entry for each property, fill in the values for each of those characteristics, and run it through the regressor. Take note of how many of these factors start with the words "proximity to." Each of these can be calculated automatically just by knowing where the property is on a map, and each of them is an independent contributor to the value of the property's location. The next step is to generate individual "index maps" that combine various related features into combined heat maps. Then you run everything through and see if it works. You can get the land share of the final value by combining the contributions of all the individual factors that you associate with "land," such as proximity to important things. In the verification section the authors say: As a result of the analysis, since the significance level (0.000) p <.05, corresponding to the F values in the ANOVA test, indicates that the regression analysis is appropriate and the models are significant. The criteria that make up the model account for about 85% of the market value and 15% cannot be explained for reasons such as economic, non-existent data and unearned income. Unfortunately, they don't say anything about how accurate their model is for assessing land values specifically. Otherwise, this is a pretty good example of using the Multiple Regression method for estimating the individual contributions of various factors to overall property values. Gwartney says Multiple Regression Analysis was a standard method he typically used, of which this specific paper is just one example. Nonparametric kernel regression This will be a method familiar to the programmers in the audience who have any experience with image processing algorithms. Here's an example from this old Gamasutra article: The basic idea here is to take a matrix of numbers, called a "kernel", and run that over every pixel in a source image. The kernel tells you how strongly to weight all of the source pixel's neighbors to compute a final result for that position. A simple "box blur" is a kernel where every value is 1 (meaning it averages the values of all neighboring pixels within a range). The more subtle gaussian blur illustrated above uses a two-dimensional normal distribution of values so that each pixel is most affected by those nearest to it. So let's apply the same principle to land valuations. If you have a map with lots of transaction data of pure land sales–defined as sales of either vacant land or teardown properties (where the building value is essentially zero)–then you can use a special kernel filter to smoothly interpolate land values across the region. So you basically have a smooth curve that mostly favors close-by points, tapers off a bit, and then disregards anything outside a certain distance entirely. The big assumption here is that land values change smoothly and do not change suddenly across very short distances. There are, in fact, locations with sharp jumps in value (any town with an "other side of the tracks," for instance). But for cases where we know a priori that land values change smoothly, this method is appropriate. No other prior restriction is placed on the form of the land value map, however, and this is why it's called "nonparametric." Here's an illustration. The outer box is the entire search distance that the kernel considers, and the circles represent the falloff of the curve itself. The size of the box is called the "bandwidth" and is set by the user. Everything outside of it will have zero influence on the kernel's output at any given location. This method operates on the same basic logic that I used when I hand-estimated the land value of that San Francisco house in Part I based on the value of the empty lot next door. However, it makes the whole procedure systematic. It can easily and accurately estimate the land value of a property with a big fat building on it simply by smoothly interpolating the known values of the nearby parking lots. Of course, it has limitations. First and foremost, it's a highly local operation, so if you have properties you're trying to value that don't have nearby pure land sales data, you can't really do much with this. Also, most people assume that city centers have less market transactions for undeveloped land than the countryside, as did I until I read that paper by Albouy in Part I. But in any case, this is just one method in your toolbox and might not be sufficient by itself. Its key advantage is that it works directly from true market data for land and doesn't need or want any other subjective data. In the end, basic kernel estimation just fills in the land value of unmeasured locations with a local weighted average of known locations. Nonparametric adaptive regression Kolbe, et al. build on the kernel regression method with a technique called Adaptive Weights Smoothing (AWS), which runs in several iterations and adds additional weight to any observed data points that are sufficiently close to the point being estimated. I'm not 100% sure about what all the math means, but it seems like it's basically a "smarter" version of the basic kernel method. Left: Nonparametric kernel regression, Right: Adaptive Weights Smoothing. I think the authors goofed and printed the same figure twice with different headings because they're identical if you overlay them in Photoshop. Semiparametric regression Now, the above two methods assume you have plenty of "pure" land sale records to work with. But if you're trying to work out prices in the city center, you've probably mostly got land and buildings mixed together. To do this effectively, we need more data, and this is where the "parameter" in "semiparametric" comes in. The model described in Kolbe et al. seems like a flavor of multiple regression analysis that takes the price, the location, and various characteristics of the building and feeds it into a regressor. But we've got "semi" parametric here. What does that mean? Well, if you already know how certain relationships between the data work a priori, it's better to enforce those relationships yourself rather than leave it to the computer. Here, we enforce the assumption that if two properties are right next to each other, then the value due to location is going to be essentially identical. This algorithm starts by ordering things geographically and then working out the differences in observed price by regressing on the difference between remaining property characteristics. In this method, the power of "location, location, location" is not something we're leaving to the regressor to discover by itself. Results of the Semiparametric regression method, we can see some significant differences from the simple kernel-based model. As you can see above, this gives you more detailed and likely more accurate results, and you're better able to assess the values of properties with buildings on them, even in the absence of pure land sales. This technique is more complicated and bakes in assumptions about the power of location, but otherwise doesn't assign subjective human weights to the various property characteristics. The chief human bias comes in the form of deciding which property characteristics are measured and made legible to the model in the first place. Okay great, but how accurate are the above three methods? Their main point of comparison is this thing called the "Bodenrichtwerte," or BRW. I think that means "ground-level-values" in English, and it's an expert-assessed map of land values for Berlin done the traditional way. The nonparametric kernel regression method has a correlation of 0.704 with the traditional method and has the added disadvantage that it's not able to produce estimates for the city center, only the outlying areas. Furthermore, the BRW map does show sharp discontinuities, which is another knock against the kernel method, at least for the city center. What about the iterative method? Kolbe et al. find that "the agreement between [Adaptive Weights Smoothing] land value estimates and, both, land prices and BRW land values is fairly good for all values of λ." Doing some quick checks, their values seem to be within about 85% of the BRW values. A different Kolbe et al. paper called Identifying Berlin's land value map using adaptive weights smoothing goes into more detail and claims to give "similar" values to that of the BRW. For the semiparametric method, they "found a strong positive correlation of 0.845" between their numbers and a previously expert-assessed set done using the traditional method. That sounds pretty good. It seems their margin for error is about plus or minus 15% compared to the traditional expert method. I'd like to see more direct comparisons against market transactions themselves, though, because if the prior expert assessments are wrong, then the main achievement here is improved efficiency, not accuracy. However, this method doesn't seem to be dramatically less accurate than the old way of doing things. The last three models came from the Berlin case study, where you have excellent market transaction data in an extremely wealthy and high-trust society. But what if you're trying to assess land in a developing nation with poor market transaction records, weak institutions, and widespread poverty? Innovative Land Valuation Model (iLVM) This is the particular name of the method described in Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches by Bencure, Tripathi, Miyazaki, Ninsawat, and Kim. They used BayBay City, Philippines as their case study. Whereas the previous models are very "hands-off" and let the computer work out the relationships between prices and property characteristics, here you get expert human opinion directly involved in building the model, baking in weights that directly embody judgments like "properties next to major roads are more valuable." These judgments are based on expert opinions that presumably come from observed experience but are a priori judgments nonetheless. Here, look at this big complicated flowchart. The "Analytic Hierarchy Process" in the box on the left is a particular kind of method for getting experts to set weights. The authors give this reason for using it: Despite criticism pinpointed by other scholars, the AHP remains the commonly used in many research fields and practical applications. This is because the AHP: (1) overcomes human difficulty in making simultaneous judgment among factors to be considered in the model; (2) is relatively simple as compared to other MCDA [multi-criteria decision analysis] methods; (3) is flexible to be integrated in various techniques such as programming, fuzzy logic, etc.; and (4) has the ability to check consistency in judgment After identifying a list of "factors" that can affect land value, they group them into taxonomical buckets: Note that certain factors like "Coastline" appear in multiple buckets; this captures the various influences a characteristic can have. For instance, land on the coast tends to be more economically valuable because of tourism, shipping, fishing, etc., so that goes under "economic." But land that's next to the coast is also more likely to flood, so it also goes under "environmental." And then there are various land use restrictions that apply specifically to coastal areas, so it goes under "legal" as well. In this way, a single factor like "the property is on the coastline" can have both positive and negative effects on land value (e.g., it's more economically valuable but it also might flood, and there are certain things you aren't allowed to do there). The next step is to set down some rules for how sensitive each factor is to location and distance. So here we can see that the economic benefit of being on the coast is most strongly felt if you're within half a kilometer of the ocean, but the environmental effect (e.g., risk of flooding) is most strongly felt when you're within 0.03 kilometers. And so on and so forth. Your experts help you work out all these rules. Note that for a few of these factors (such as land use and slope), you use metrics other than distance (e.g. land use classification and grade). Then you take all that stuff and assign everything a value between 0 and 5. Your team of experts then uses this table to come up with a set of weights for everything. What essentially comes out of this is a big linear equation with a bunch of coefficients for every one of your factors, which is then broadly fit to the observed market prices. When you're done, you can take any property on your list, multiply each of its characteristics by its respective weight, run that through your equation, and calculate the predicted price of the land. So how accurate is it? The authors compare it to standard Multiple Regression Analysis and claim it fares better. The Root Mean Square Error is quite a bit less than MRA. In addition, I think it's also saying that the MRA algorithm decided that only four of the factors were significant and basically ignored all the rest. By contrast, iLVM was able to maintain contributions from all the factors, because it doesn't leave that decision to the computer. I'm not 100% sure; it's not clear from the paper. The authors claim that about 67% of the variability is explained by their model, but they note that there are some areas where the model can be off by more than a factor of 1.0 in either the positive or negative direction. One thing that's kind of fun about this model is that you can make neat graphs like this that show the individual contribution of each factor: The main downside to this model is that it relies on a whole lot of subjective expert opinion and can be questioned on that basis. That said, it can be cheaply deployed in a transparent and consistent way across a large area. You can see why that's attractive for a developing nation with weak institutions and poor market transaction records; the argument is that this is a significant improvement over the former status quo. I wonder how well this model performs when you feed it better market transaction data, and how that would compare against all the others methods under identical conditions. More research is needed. Rather than drag you through a bunch more research papers, I'll just leave these others I found cited in the above studies: Killić et al. (2019) - Fuzzy expert system for land valuation in land consolidation processes
Iceland study

Iceland study is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 26, 2025 and June 26, 2025. The archive places it in contexts such as "In the Iceland study, Sib-Regression found EA heritability of 40%"; "Why did the Iceland study find significantly lower numbers for Sib-Regression/RDR than twin studies for almost every trait?". It most often appears alongside Aftab, Alex Young, Arthur Jensen.

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Iceland study
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June 26, 2025 · Original source
Maybe gene x gene interactions, especially epistasis, are more important than we thought. There’s some (weak) evidence for the latter two claims: Sib-Regression, unlike RDR, includes results from certain types of ultra-rare variants and non-additive effects. In the Iceland study, Sib-Regression found EA heritability of 40% (similar to twin studies), and RDR found 17% (much less than twin studies). Maybe these make Sib-Regression better at estimating the sort of broad heritability investigated in twin studies? What’s Going On? (Part 3: Is Educational Attainment Just Weird?) Above, we said that there were only two published peer-reviewed studies using Sib-Regression and RDR to estimate heritability of behavioral traits. But Markel et al (2025), a not-yet-peer-reviewed pre-print from GMU (why is it always GMU?) complicates things further. It looks at genetic data from six different countries/studies to estimate heritability of IQ and EA. Using Sib-Regression, they find educational attainment heritability of only 8% (±9%)14, and cognitive performance (~IQ) heritability of 75% (±20%)! Markel’s 8% for EA is very different from Young’s Icelandic estimate of 40% - is this bad? Not necessarily - as with Kemper, these studies might have different levels of selection bias. Or the countries where they take place might have different levels of educational mobility. But also, this is the first Sib-Regression study to investigate IQ - all the others had only done EA. They replicate (and even go beyond) the twin studies’ high IQ number, while continuing to get low heritability for EA. This suggests our previous assumption - that EA was usually a decent proxy for IQ - might be totally off. This doesn’t directly solve any of our problems - the twin study estimates for EA and the Sib-Regression estimates are still worryingly different. But it slightly bounds the damage. It suggests that the twin study estimates for IQ are ~correct, potentially meaning that whatever’s going on is some kind of EA-specific confounder. We know that EA is a pretty unusual trait, with high assortative mating, high shared environmental component, and high potential for genetic nurture / dynastic effects. We saw above that there are theoretical reasons not to expect these to bias twin studies upward or Sib-Regression downward. But maybe it did that anyway, despite the theoretical reasons. Stepping back, maybe educational attainment is full of landmines. Plenty of political and economic factors affect the degree to which your genes vs. your culture determine how far you go in school. Suppose a country passes a feel-good policy that high schools have to try to graduate all students, even ones who fail algebra. That changes the heritability of EA! Or suppose that scholarships become easier/harder to get, making rich people less/more likely to go to college relative to poor people. That changes the heritability of EA! Or suppose that the economy changes and jobs requiring PhDs are less/more lucrative than before - now ambitious people are less/more likely to pursue PhDs relative to people doing it for the love of academia, and that changes the heritability of EA! Finally, suppose some study enrolls mostly rich/well-educated people, and some other study enrolls proportionally across the population. That artificially restricts range and . . . changes the heritability of EA! So two potential takeaways from this preprint are: EA is a weird trait with a high shared environmental component, and might not be a good flagship trait to use for discussing heritability more generally.
Why did the Iceland study find significantly lower numbers for Sib-Regression/RDR than twin studies for almost every trait? (hilariously, not for educational attainment with Sib-Regression this time, although I suspect this is just the big margin of error and the real number is commensurate with the other traits studied)
IEEE 3173

IEEE 3173 is a recurring event 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 "The standard development project is now formally registered as IEEE 3173". It most often appears alongside 1DaySooner, acanthamoeba keratitis, ACX.

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IEEE 3173
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November 04, 2022 · Original source
10: Hazard Labeling For Endocrine Disruptors (8/10) Nell Watson reports that “we were able to charm the IEEE into hosting our standards development process, start to finish! The standard development project is now formally registered as IEEE 3173. Our first Working Group meeting to develop the formal standard will be on November 18th 2022 at 16:00 UK time.”
Impact Certificate Market

Impact Certificate Market is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 24, 2025 and July 24, 2025. The archive places it in contexts such as "I participated in the Impact Certificate Market last year". It most often appears alongside ACX, ACX Grant, ACX Grants.

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July 24, 2025 · Original source
I participated in the Impact Certificate Market last year, did you forget about me?
Impact Certificate Mini Grants

Impact Certificate Mini Grants is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 20, 2023 and March 20, 2023. The archive places it in contexts such as "participated in Impact Certificate Mini Grants". It most often appears alongside ACX, Book Review Contest, Scott.

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March 20, 2023
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March 20, 2023 · Original source
3: Thanks to everyone who participated in Impact Certificate Mini Grants. I’ll see you in six months to ask how you’re doing!
Impact Certificate Mini-Grants

Impact Certificate Mini-Grants is a recurring event 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 "I know I need to start thinking about closing up the Impact Certificate Mini-Grants". It most often appears alongside ACX Discord, ACX subreddit, Astralcodexten.

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September 04, 2023 · Original source
4: I know I need to start thinking about closing up the Impact Certificate Mini-Grants and the Book Review Contest; expect more on this in the next few weeks and thanks for your patience.
Impact Markets Mini-Grants

Impact Markets Mini-Grants is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 09, 2023 and April 09, 2023. The archive places it in contexts such as "forecasting projects in our Impact Markets Mini-Grants". It most often appears alongside ACX, Atlas Fellowship, Bay Area.

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April 09, 2023
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April 09, 2023 · Original source
2: One of the forecasting projects in our Impact Markets Mini-Grants is OPTIC, "an inter-collegiate forecasting tournament . . . with the goal to foster a forecasting community among undergraduates . . . think debate tournament/hackathon/mock trial competition, but for forecasting". If you're a university student who can make it to Boston on April 22nd, go here for more information. They add: "Err on the side of registering, even if you’re not sure if you can make it, or if you’re not in the Boston area — we’ll be able to sponsor some funding for teams to travel."
Impactful Forecasting Prize

Impactful Forecasting Prize is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between February 28, 2022 and February 28, 2022. The archive places it in contexts such as "announce the Impactful Forecasting Prize, with $2,000 for first prize". It most often appears alongside Austin, Eli Lifland, Gather.

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February 28, 2022
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February 28, 2022
February 28, 2022 · Original source
1: Eli Lifland and Misha Yagudin have asked me to announce the Impactful Forecasting Prize, with $2,000 for first prize and more money available for other winners. Read the rules (bolded link above), write up forecasts on one of these Metaculus questions and submit via this form by March 11. They’ll also be having a meetup in Gather on March 2.
Indigenous Peoples' Day

Indigenous Peoples' Day is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 07, 2022 and October 07, 2022. The archive places it in contexts such as "Indigenous Peoples’ Day observance". It most often appears alongside Adraste, America, American Jews.

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October 07, 2022
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October 07, 2022
October 07, 2022 · Original source
Adraste: Is that so bad? All of our best holidays have begun as anti-holidays to neutralize older rites. Jesus was born in the spring; they moved Christmas to December to neutralize the pagan Solstice celebration. Easter got its name because it neutralized the rites of the spring goddess Eostre. Hanukkah was originally a minor celebration of a third-tier Bible story; American Jews bumped it up several notches of importance in order to neutralize Christmas. Labor Day was invented to screw up Communists’ attempts to coordinate around May Day as a labor protest holiday. This isn’t something modern liberals invented. It’s a tradition as old as the West. Give anti-holidays enough time and they become proper celebrations; in a hundred years, your descendants will be horrified at the thought of missing an Indigenous Peoples’ Day observance!
Indigenous People’s Day

Indigenous People’s Day is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 07, 2022 and October 07, 2022. The archive places it in contexts such as "Happy Indigenous People’s Day!"; "re-work Indigenous People’s Day to emphasize that we support the victims’ descendants"; "We’ve replaced it with this complete milquetoast Indigenous People’s Day". It most often appears alongside Adraste, America, American Jews.

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October 07, 2022
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October 07, 2022
October 07, 2022 · Original source
Adraste: Happy Indigenous People’s Day!
Beroe: What about “Indigenous People’s Day is offensive because indigenous peoples were frequently involved in slavery and genocide”?
Beroe: But surely you can sketch it out. Many indigenous peoples practiced forms of hereditary slavery, usually of war captives from other tribes. Some of them tortured slaves pretty atrociously; others ceremonially killed them as a spectacular show of wealth. There’s genetic and archaeological evidence of entire lost native tribes, most likely massacred by more warlike ones long before European contact. Some historians think that the Aztecs may have ritually murdered between 0.1% and 1% of their empire’s population every year, although as always other historians disagree. I refuse to celebrate Indigenous People’s Day, because I think we need to question holidays dedicated to mass murderers even when they’re “traditional” or “help connect people to their history”.
Industrial Revolution

Industrial Revolution is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between September 10, 2024 and September 10, 2024. The archive places it in contexts such as "Realistically the Agricultural and Industrial Revolutions were long processes". It most often appears alongside 10,000 AD, Agricultural Revolution, Agricultural Revolution.

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Industrial Revolution
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September 10, 2024
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September 10, 2024
September 10, 2024 · Original source
Robin Hanson cashes out “the singularity” as an economic phase change of equal magnitude to the Agricultural or Industrial Revolutions. If we stick to that definition, we can do a little better at predicting it: it’s a change of a size such that it’s happened twice before. Using our previous number, we estimate ~30% chance that such a change happens in our lifetime.
(sanity check: the last such earth-shattering change was the Industrial Revolution, about 3 - 4 lifetimes ago.)
Realistically the Agricultural and Industrial Revolutions were long processes instead of point events. I think the singularity will be shorter (just as the Industrial Revolution was shorter than the Agricultural), but if this bothers you, imagine we’re talking about the start (or peak) of each.
Inequity By Structural Design: Psychiatrists' Responsibility To Be Informed Advocates For Systemic Education And Criminal Justice Reform

Inequity By Structural Design: Psychiatrists' Responsibility To Be Informed Advocates For Systemic Education And Criminal Justice Reform is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 20, 2022 and July 20, 2022. The archive places it in contexts such as "Inequity By Structural Design: Psychiatrists' Responsibility To Be Informed Advocates For Systemic Education And Criminal Justice Reform". It most often appears alongside #MeToo Movement, American Psychiatric Association, Anand Giridharadas.

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July 20, 2022
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July 20, 2022
July 20, 2022 · Original source
...: How The Film Moonlight Can Teach Us About Inclusion And Therapeutic Alliance In Minority LGBTQ Populations - Child Welfare – A System Psychiatrists Should Scrutinize - Inequity By Structural Design: Psychiatrists' Responsibility To Be Informed Advocates For Systemic Education And Criminal Justice Reform - But I'm Not Racist: Racism, Implicit Bias, And The Practice Of Psychiatry Disruption! Grabbing the third rail! Asking about what we’re overlooking! It seems that psych...
INFER tournament

INFER tournament is a recurring event 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 "INFER tournament for EA student groups : if your college has an effective altruist group, it's invited to enter this superforecasting-style tournament". It most often appears alongside ACX community subreddit, Amazon, Astralcodexten Com.

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INFER tournament
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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.
Inferno

Inferno is a recurring event 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 "Then in 1988 Marvel ran with three separate events: Inferno". It most often appears alongside 20th Century Fox, Abomination, Abomination.

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Inferno
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August 16, 2024
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August 16, 2024
August 16, 2024 · Original source
The “event” innovation was so commercially successful that Marvel cross-title events became more and more common (It was not so successful artistically. Secret Wars II is commonly on the top of lists of the worst Marvel storylines of all time). 1985’s Secret Wars II was followed by Mutant Massacre across the X-men titles in 1986 and Kraven’s Last Hunt across the Spider-man titles in 1987. Then in 1988 Marvel ran with three separate events: The Fall of the Mutants, The Evolutionary War and Inferno. By 1993 there were TEN cross-title events across Marvel. The number of events eventually came down, but the number of issues that were part of events continued to rise.
influenza epidemic of 1918-19

influenza epidemic of 1918-19 is a recurring event 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 "illustrated by the influenza epidemic of 1918-19". It most often appears alongside Africa, antelope, August Hirsch.

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June 17, 2021
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June 17, 2021
June 17, 2021 · Original source
“Another sort of epidemic disease whose future among mankind remains at least potentially significant is well illustrated by the influenza epidemic of 1918-19. Influenza has been around a long time.*” His ninetieth footnote indicates that “no fewer than ninety-four epidemics of influenza between 1173, the earliest he [August Hirsch] thought he could identify, and 1875. Of these he calculated at least fifteen had been pandemic, i.e., effected Asia as well as Europe… There is no reason to suppose that influenza was new in 1173, however… the history of the disease remains irrecoverable.”
Inkhaven residency

Inkhaven residency is a recurring event 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 "he will be participating in the Inkhaven residency this November". It most often appears alongside 80,000 Hours, ACX, ACX.

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Inkhaven residency
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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.
‘Red Means No’ Orgies, reviewed by Eneasz Brodski. Eneasz is best known for creating the full-cast HPMOR audiobook/podcast, and he now podcasts at The Bayesian Conspiracy covering rationalist general-interest topics. He has also published the novel What Lies Dreaming, a Lovecraftian horror set in 2nd century Rome. He blogs at Death Is Bad and will be participating in the Inkhaven residency this November.
Innovation Forum

Innovation Forum is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between January 04, 2023 and January 04, 2023. The archive places it in contexts such as "I’m in town helping organize the Innovation Forum"; "we send him an invitation to the Innovation Forum"; "The Innovation Forum. Peter Thiel". It most often appears alongside AI Circle, Anthropic, Asana.

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Innovation Forum
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January 04, 2023
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January 04, 2023
January 04, 2023 · Original source
“Hi,” she says. “I’m Vinaya. I’m in town helping organize the Innovation Forum.”
Vinaya sighs. “You’re trying to avoid showing any sign of emotion, so that I don’t realize you think everything with a name like ‘Innovation Forum’ or ‘Tech Futures Colloquium’ or ‘Entrepreneurship Retreat’ is a ridiculous waste of time and money,” she says, perceptively.
“I know this kind of socialism isn’t popular, here in the Bay,” she tells you. “But the fact is, we live in a world where a tiny number of people have an outsized amount of power. We - by which I mean the loose network of left-wing radicals - tried our best to solve it politically. But we couldn’t. So now we try a different tactic. Whenever a tech billionaire is at the top of his game - raking in billions of dollars, buying up newspapers, considering a run for Governor - we send him an invitation to the Innovation Forum. He’s honored! He always thought of himself as a practical man of business, not the sort of person who goes to Innovation Forums and pontificates to thought leaders about the future of mankind. But maybe it’s just that the world is finally recognizing his genius! So he clears his calendar for a few days, puts off inventing a new superlaser, and attends the Forum. And then a little later, he gets an invitation to the Tech Futures Colloquium, and he thinks - yes, I deserve to go to that one too. And so he clears his next week’s calendar . . .”
Institute for Law and AI summer research fellowship

Institute for Law and AI summer research fellowship is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2025 and December 01, 2025. The archive places it in contexts such as "the Institute for Law and AI summer research fellowship is accepting applications". It most often appears alongside Astralcodexten Com, Berkeley, DC.

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December 01, 2025
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December 01, 2025
December 01, 2025 · Original source
5: If your response is noooo, I want to be paid money to do important work and change the world, then good news: the Institute for Law and AI summer research fellowship is accepting applications. They pay $1,500/week for a ten week fellowship, with the first week in DC or Berkeley and the next nine remote. They say that “we welcome applicants with various skill sets, experience levels, and degrees of knowledge in US AI, law, and policy” and that “previous Summer Research Fellows have gone on to pursue law and policy roles at the US Department of Commerce, leading AI labs, academia, and think tanks.”
International Congress of Genetics

International Congress of Genetics is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 03, 2025 and July 03, 2025. The archive places it in contexts such as "At the International Congress of Genetics in 2023 (major conference that only happens every five years)". It most often appears alongside 23andme, @alextisyoung, Aborigines.

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July 03, 2025
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July 03, 2025
July 03, 2025 · Original source
That’s why basically all genomics in non-model organisms is happening with long reads now. At the International Congress of Genetics in 2023 (major conference that only happens every five years) the keynote speaker Mark Blaxter opened the meeting by saying we can finally get real, complete genomes thanks to long-read sequencing. He was talking specifically about the Darwin Tree of Life project, which is trying to sequence all eukaryotic species in the UK.
International Mathematical Olympiad

International Mathematical Olympiad is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 04, 2022 and April 04, 2022. The archive places it in contexts such as "Eliezer thinks AI is a little bit more likely to win the International Mathematical Olympiad before 2025". It most often appears alongside 2013, Agricultural Revolution, AI.

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April 04, 2022
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April 04, 2022
April 04, 2022 · Original source
I am happy to report that three months later, the two of them finally found an empirical question they disagreed on and made a bet on it. The difference is: Eliezer thinks AI is a little bit more likely to win the International Mathematical Olympiad before 2025 than Paul (under a specific definition of “win”). I haven’t followed the many many comment sub-branches it would take to figure out how that connects to any of this, but if it happens, update a little towards Eliezer, I guess.
International Shrimpact Day

International Shrimpact Day is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between December 01, 2025 and December 01, 2025. The archive places it in contexts such as "In honor of International Shrimpact Day ™, pro-shrimp Substackers are holding a shrimp welfare fundraiser". It most often appears alongside Astralcodexten Com, Berkeley, DC.

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December 01, 2025
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December 01, 2025
December 01, 2025 · Original source
1: In honor of International Shrimpact Day™, pro-shrimp Substackers are holding a shrimp welfare fundraiser, with 50% matching until December 2. Did you know that $1 can help as many as 21,000 shrimp avoid a painful death? And here is a debate between Jeff Sebo and Lyman Stone, moderated by Peter Singer, on whether shrimp welfare matters.
International Study on Infarct Survival

International Study on Infarct Survival is a recurring event 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 "International Study on Infarct Survival, second phase". It most often appears alongside AAAS, AIDS, American Academy of Arts and Sciences.

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1
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April 12, 2023
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April 12, 2023
April 12, 2023 · Original source
Don’t be alarmed if you hear your doctor was part of ISIS 2; it’s just the International Study on Infarct Survival, second phase. This was the 1980s, the name was fine back then, that’s not why IRBs got involved.
B. ISIS 2
International Women's Day

International Women's Day is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 10, 2022 and October 10, 2022. The archive places it in contexts such as "The most popular are The New Year, The International Women's Day". It most often appears alongside 9-11, Adraste, America.

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October 10, 2022
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October 10, 2022
October 10, 2022 · Original source
And yes, in Russia we are kind of without tradition with regard to national holidays, because all the main ones are at most soviet-era old. The most popular are The New Year, The International Women's Day and the Day of Protectors of the Fatherland (Progressives in Russia have been to change the nature of both of them for years: to make the Women's Day more about feminism and awareness of Women's rights, rather than flowers, beauty and "We wish you to smile more and to be a decoration of your work team"; and to demilitarise the discourse around the Protector's day and just turn it into Man's Day, like it works in school, where girls give boys gifts for Protector's Day, and boys give girls gift for Women's Day), and the Labour Day and Victory Day (the has also been attempted to get demilitarised for years, to be turned from belligerent weapons demonstrations into a day of grief for those who have died in WWII, of whom there are a few in practically every Russian family history). So yeah, we live in a country with a short tradition of holidays, and there are lots of clashes around them.
International Women’s Day

International Women’s Day is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 04, 2024 and April 04, 2024. The archive places it in contexts such as "In honor of International Women’s Day"; "In honor of International Women’s Day, Binance has launched “Binance Perfume”". It most often appears alongside Aaron Peskin, ACLU, AGI And The Efficient Market Hypothesis.

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April 04, 2024
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April 04, 2024
April 04, 2024 · Original source
5: In honor of International Women’s Day, Binance has launched “Binance Perfume” to “bring crypto[currency] closer to women”.
Intersectionality 2.0: How The Film Moonlight Can Teach Us About Inclusion And Therapeutic Alliance In Minority LGBTQ Populations

Intersectionality 2.0: How The Film Moonlight Can Teach Us About Inclusion And Therapeutic Alliance In Minority LGBTQ Populations is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 20, 2022 and July 20, 2022. The archive places it in contexts such as "Intersectionality 2.0: How The Film Moonlight Can Teach Us About Inclusion And Therapeutic Alliance In Minority LGBTQ Populations". It most often appears alongside #MeToo Movement, American Psychiatric Association, Anand Giridharadas.

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July 20, 2022
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July 20, 2022
July 20, 2022 · Original source
Intersectionality 2.0: How The Film Moonlight Can Teach Us About Inclusion And Therapeutic Alliance In Minority LGBTQ Populations
Introduction to Political Technology

Introduction to Political Technology is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 30, 2026 and March 30, 2026. The archive places it in contexts such as "2026 fellowship program, “Introduction to Political Technology”". It most often appears alongside ACX Grantee 1DaySooner, AI pause, Astralcodexten Com.

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March 30, 2026
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March 30, 2026
March 30, 2026 · Original source
2: Newspeak House, one of the London centres of our conspiracy, is accepting applications for their 2026 fellowship program, “Introduction to Political Technology”. They describe it as:
Inuit midwinter orgies

Inuit midwinter orgies is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between June 10, 2022 and June 10, 2022. The archive places it in contexts such as "as in the Inuit midwinter orgies". It most often appears alongside 50,000 BC, Africa, Altamira.

Reference entry
Inuit midwinter orgies
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June 10, 2022
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June 10, 2022
June 10, 2022 · Original source
among societies like the Inuit or Kwakiutl, times of seasonal congregation were also ritual seasons, almost entirely given over to dances, rites and dramas. Sometimes these could involve creating temporary kings or even ritual police with real coercive powers (though, often, peculiarly, these ritual police doubled as clowns). In other cases, they involved dissolving norms of hierarchy and propriety, as in the Inuit midwinter orgies.
Iowa caucus

Iowa caucus is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 07, 2023 and November 07, 2023. The archive places it in contexts such as "We’ll be subtracting 100 votes away from your eventual total in the Iowa caucus". It most often appears alongside America, Ayatollah, Chris.

Reference entry
Iowa caucus
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November 07, 2023
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November 07, 2023
November 07, 2023 · Original source
MODERATOR: Sorry Ron, the constraint isn’t that he has to mispronounce vowels. We’ll be subtracting 100 votes away from your eventual total in the Iowa caucus for your incorrect guess.
Iowa caucuses

Iowa caucuses is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 08, 2022 and July 08, 2022. The archive places it in contexts such as "He stakes his campaign on ... winning the Iowa caucuses". It most often appears alongside 1968 convention, 1976 Democratic, 1976 Democratic primary.

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Iowa caucuses
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1
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July 08, 2022
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July 08, 2022
July 08, 2022 · Original source
When he first enters the 1976 Democratic primary, Carter is a complete unknown, and the general consensus is that he’s the longest of long shots. (“Jimmy who?” one opponent asks.) But two things go very, very right for him. First, he’s one of the few people who fully understands the changes to the Democratic primary process that were implemented after the chaos of the 1968 convention [1]. He stakes his campaign on the now-familiar strategy of winning the Iowa caucuses and the New Hampshire primary, which is groundbreaking at the time. More importantly, the fact that no one has ever heard of him turns out to be a huge advantage in the wake of Watergate, when voters are hungry for an outsider.
Iran hostage crisis

Iran hostage crisis is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 08, 2022 and July 08, 2022. The archive places it in contexts such as "The origins of the Iran hostage crisis". It most often appears alongside 1968 convention, 1976 Democratic, 1976 Democratic primary.

Reference entry
Iran hostage crisis
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July 08, 2022
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July 08, 2022
July 08, 2022 · Original source
The origins of the Iran hostage crisis go back all the way to 1951, when the CIA led a coup in Iran to prevent the democratically-elected government from nationalizing their oil industry. As is usually the case with people who seize power in coups, the new, US-backed leader, the Shah, is a bit of a despot. (He infamously has gourmet lunches flown in from France on the Concorde.) By 1979, The Iranian people have had enough, and the Shah himself is overthrown by a group of fundamentalist Islamic clerics, who still control Iran to this day. In conclusion, we totally nailed the situation and none of our decisions backfired in any way. Go America!
Iran Nuclear Agreement Review Act

Iran Nuclear Agreement Review Act is a recurring event 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 "passed the Iran Nuclear Agreement Review Act by overwhelming majority". It most often appears alongside 501(c)(3), 80,000 Hours, 9/11.

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June 24, 2022
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June 24, 2022
June 24, 2022 · Original source
Counterinsurgency (COIN) In the case of Afghanistan, the Bush administration was so eager to go to war it avoided any other options. No evidence has ever emerged that Taliban (the political faction that ruled Afghanistan at the time) itself knew about the 9/11 attacks, much less planned it; the Afghan ambassador to Pakistan condemned the attacks on 9/12. “We don’t negotiate with terrorists” became the standard American line — before the war began, Taliban was willing to discuss bin Laden’s fate but the White House Chief of Staff refused; after the war began, Taliban was willing to hand over bin Laden to a third country for trial but White House refused just the same. In the case of Iraq, Bush was so eager to, in his own words, “Fuck Saddam, We’re taking him out” as early as February 2002 (and floated the idea of invading Iraq to Tony Blair), that on 9/17 Bush told his cabinet “I believe Iraq was involved, but I’m not gong to strike them now. I don’t have the evidence at this point.” The administration couldn’t find any evidence directly tying Saddam to 9/11, so they settled on the now-discredited lies of WMDs and “ties” between al-Qaeda and Iraq. “We don’t negotiate with terrorist”’ extended to the non-terrorist Saddam — before the war, Saddam was cooperating with the International Atomic Energy Agency; after the war began, Saddam was willing to accede to practically all Amercan demands but White House refused communication just the same. Just like in Afghanistan, the Bush administration had no interest in exploring any other option short of war. Two feuding factions within the Bush administration had little contact with each other: the war hawks (neocons like Cheney i.e. products of Lockheed Martin), supported by the Pentagon, did not want to do nation-building; those partial to nation-building (the State Department) did not want war. Bush agreed with the former at the start of the war, but once Saddam was removed, sided with the latter. The postwar plan for Afghanistan was officially determined by the Bonn Agreement of 2001, but neither Bush nor Cheney consider it to be worthy of much thought in their memoirs despite years of hindsight; the postwar plan for Iraq lay entirely in the hands of Paul Bremer as subsequent Deputy Committee meetings on Iraq stopped being conducted — there wasn’t a single meeting to discuss disbanding the Iraqi army that left 400,000 jobless former soldiers prime for insurgency. The Iraq war dealt with no real crisis but cost the US trillions of dollars and thousands of lives, plunged Iraq into two decades of intermittent civil war — a candidate for the worst American foreign policy failure in history, but a success for the careers of Bush (who won reelection and congressional seats) and his advisors who led the US into Baghdad (who went on to work for think tanks, the World Bank, and the Trump Administration). Once again, there is no grand strategy as each party was only self-interested in short-term gains. The Earlier Obama Years As a candidate, Obama campaigned in support of the Afghanistan war, and indeed his first foreign policy decision as president was to send thousands of additional troops to Afghanistan, largely due to overwhelming political pressure from top generals like Petraeus and McChrystal who boxed Obama into sending more troops by limiting the options presented to Obama, blatantly lobbying in press interviews, and threatening dire consequences like resigning from commanding troops in Afghanistan. We know Obama was hesitant as he announced at the same time that American troops would begin withdrawal in July 2011 (by 2015 he announced that American troop presence would stay in Afghanistan indefinitely). Obama’s second decision was to bomb al-Qadhafi in the name of Libyan regime change, due to domestic but this time also international political pressure from the heads of France and the UK who would face political embarrassment if Qadhafi’s regime, despite months of bombing and sanctions by the US-led coalition, recaptures the rebel-held Benghazi. NATO forces bombed al-Qadhafi’s convoy. Ten days after the killing of the dictator, the bombing campaign ended, and the subsequent decade of intermittent civil war faded from the American consciousnesss. Obama’s third decision was to cripple Assad’s regime in Syria with sanctions and by arming and training rebels, again due to overwhelming political pressure from hawkish ‘foreign policy community’ who still criticise Obama for having ‘done nothing’ despite spending $1 billion through the CIA and $500 million through the Pentagon, and crushing the Syrian economy. Top officials in the Obama administration admitted that assisting rebels would not change the course of war, nor was there any way to prevent arms from ending up in the hands of ISIS and al-Qaeda. Indeed, the Syrian civil war only got bloodier with American involvement. The Later Obama Years Obama’s first major decision was the war on ISIS with the reentry into Iraq from which all American troops withdrew just a few years ago in 2011, due to overwhelming political pressure and in the face of a potentially humanitarian catastrophe (ISIS was going to massacre the Yazidi religious sectarians in Mount Sinjar). This time, the United States would roll back all territorial gains of the Islamic State by working with the Iraqi government, Shia militias in Iraq, and the Kurdish-led Syrian Democratic Forces. Obama’s second decision was signing the Joint Comprehensive Plan of Acton (JCPOA) with Iran to stop its nuclear weapons programme in exchange for UN and EU sanctions to be lifted, $100 billion in assets seized by the US to be returned to Iran, and the US to stop implementing secondary or third-party sanctions. This time, Obama faced unusually significant pressure from Congress which passed the Iran Nuclear Agreement Review Act by overwhelming majority to be able to revoke JCPOA, but Obama signed JCPOA with Iran nonetheless as enough Democrats would be able to sustain a veto. This was the one and only decision that made sense from the perspective of classical IR theory — American leaders doing things they think are right for the country without a clear political payoff. Indeed, the Iranian nuclear agreement is the exception that proves the rule of public choice, as the deal was only possible near the end of Obama’s second term, and at the end cancelled by Trump upon entering office — a president’s foreign policy accomplishment made without the support of concentrated interests only lasted as long as his administration. 6. Learning From American Foreign Policy Failures IR theorists widely acknowledge that it was a mistake to invade Vietnam and Iraq, and even the war in Afghanistan went on for too long even if it was originally justified, but these scholars have yet to comprehend the shortcoming of the unitary actor model in accounting for the lack of rational cost-benefit analysis. Comparing the pre-invasion GDP of the countries to what the US has sacrificed (even setting aside the number of lives lost), the GDP-to-money-spent ratio has been 1:74 in South Vietnam, 1:43.3 in Iraq, and a staggering 1:396 in Afghanistan. In other words, the United States has spent in Afghanistan the equivalent of that country’s level of production for close to four centuries. Cost-benefit analysis also fails outside the major wars: NATO, despite the collapse of the USSR, is willing to absorb practically any country including states that can drag the US into war without contributing anything to American security; the military expenditure in Japan and South Korea, despite anti-China talks in Washington, are either flat or declining. While an utter failure in humanitarian and economic terms, American foreign policy has a been a resounding “success” from the public choice perspective: Lockheed Martin received $36 billion in government contracts in 2008 alone (more than any company in history)
Iranian revolution

Iranian revolution is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between July 08, 2022 and July 08, 2022. The archive places it in contexts such as "a drop in global oil production instigated by the Iranian revolution". It most often appears alongside 1968 convention, 1976 Democratic, 1976 Democratic primary.

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Iranian revolution
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July 08, 2022
July 08, 2022 · Original source
The poor economy receives an additional shock with the 1979 oil crisis, when a drop in global oil production instigated by the Iranian revolution (more on that later) triggers a market reaction that more than doubles the price of oil. The result is not just skyrocketing gas prices but around-the-block lines at gas stations, with some even instituting rationing. Carter’s approval ratings, never great to begin with, drop into the low 30s.
Irish potato famine

Irish potato famine is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between April 16, 2021 and April 16, 2021. The archive places it in contexts such as "One million people died in the English-engineered Irish potato famine alone"; "English-engineered Irish potato famine". It most often appears alongside "The Rent Is Too Damn High!", 16th amendment, 1886.

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Irish potato famine
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April 16, 2021
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April 16, 2021
April 16, 2021 · Original source
By making possible the division & specialization of labor (you dig bait, I'll catch fish) Capital is a force multiplier that supercharges the productive power of labor. It doesn't supply labor with raw materials (nature does), nor does it provide for the maintenance of workers (who eat bread by the sweat of their own brow). George says this is why capital isn't a limit on industry. ...okay, George grants that capital may limit the form of industry. You can't plow without a plow or milk without a cow. George also grants that the lack of specialized tools can greatly limit productivity because you don't get the benefit of the force-multiplying effect of capital. Um... aren't you contradicting yourself here, Mr. George? You spent all this time hammering home your doctrine of wages to prove that capital doesn't limit industry, but you just said its absence can limit both the form and the productivity of labor! Time to unpack what we mean by "limit" and be super clear about it from now on: But to say that capital may limit the form of industry or the productiveness of industry is a very different thing from saying that capital limits industry. Okay, what do you mean? For the dictum of the current political economy that "capital limits industry," means not that capital limits the form of labor or the productiveness of labor, but that it limits the exertion of labor. Okay, I think I see what he's saying. The existing school of thought says that because capital provides labor with both materials and maintenance, therefore if capital dries up, labor productivity must go down because workers will have nothing to work on, and nothing to eat or wear. Labor is thus "limited" by capital, for without it is literally and metaphorically starved for capital. But George says no – the only way capital actually "limits" productivity in real life is in the degrees by which it force-multiplies labor's productivity and unlocks certain forms of labor in the tech tree. The kind of "limit" George objects to is the idea that you need capital just to get any work done at all, or that without capital to sustain it, labor will shrivel up. Instead, capital is rocket fuel that labor supplies to itself by investing a portion of its wages. And yet, with all the awesome slots we've unlocked on the tech tree, and barrels and barrels of rocket fuel to fire up eager laborers, we still find our economy sinking into mysterious depressions. Something is gumming up the works, but it's not a simple scarcity of capital: the real limitation is not the want of capital, but the want of its proper distribution Or as G.K. Chesterton said, "Too much capitalism does not mean too many capitalists, but too few capitalists." This might seem like a pedantic distinction – misallocated capital could be said to be "scarce" capital – but they're not the same thing at all. As Francis Bacon said in 1625: Riches were like [Manure]: When it lay, upon an heape, it gave but a stench, and ill odour; but when it was spread upon the ground, then it was cause of much fruit. Because the prevailing theories of George's time are based on incorrect ideas about the relation between wages and capital, "all remedies, whether proposed by professors of political economy or workingmen, which look to the alleviation of poverty either by the increase of capital or the restriction of the number of laborers or the efficiency of their work, must be condemned." In short, more investment, more protectionism, and more efficiency programs can't, won't, and haven't fixed poverty and industrial depressions because they all proceed from false premises. Having finally beaten the nexus of wages, capital, and labor into a bloody pulp, George turns his eyes towards another leading theory for why everything is terrible: the specter of overpopulation. II. Population and Subsistence The entire second book might as well be titled "Why Malthus is Dumb and Wrong and Bad." It's dedicated to dunking on Malthusianism, a philosophy that ascribes economic crises to the exponential growth of the human population, which must necessarily end in catastrophe. according to Malthusian theory, poverty appears as increase in population necessitates the more minute division of subsistence. George attacks Malthusian ideas not just because they're wrong, but because they make it easier to accept the prevailing theory of wages (as more capital is allocated, laborers will keep popping up like weeds to gobble it up, so wages must eternally stagnate). George draws a straight line between these faulty ideas and holocausts and genocides – specifically citing how colonial oppression in China, India, and Ireland were explicitly justified on Malthusian grounds. One million people died in the English-engineered Irish potato famine alone, and when you add in those who fled the entire population declined by 25% percent. And this isn't a tenuous link either – George directly connects the completely avoidable famine to his favorite bugbear, private landownership and extortionate rent. Given that Malthusianism is now widely discredited I'm just going to skip this chapter, but if you want to hear George in all his righteous fury, check out Appendix A (there's a link that returns here at the end): Appendix A: George Dunks on Malthusianism III. The Laws of Distribution When society produces wealth, who gets different shares of it, and why? Let's start by beating some words to death. By George, we're told that there are three factors in production: Land, Labor, and Capital. For each of these terms there must be a "law of distribution" that explains how each gets compensated for its part in production. The reward you get from production by owning Land is called Rent. The reward you get from production by supplying Labor is called Wages. The reward you get from production by supplying Capital is called ... um, what? We're looking for a term that clearly expresses the return to capital alone and nothing else. The closest thing we have is Interest, and that's probably good enough. George gives the common definition of interest as "the return for the use of capital, exclusive of any labor in its use or management, and exclusive of any risk, except such as may be involved in the security." This is pretty close to what we want – something that expresses the sole return to capital without mixing in anything else. But ... what about Profits? Profits is "almost synonymous" with revenue, assuming you have some left after you deduct expenses. It means a gain in money or wealth, but the trouble is this gain is a mix of rent, wages, and "compensations for the risk peculiar to the various uses of capital." What we want is a term that means the return to capital alone, totally separate from the return to laborers and landowners. To talk about the distribution of wealth into rent, wages, and profits is like talking of the division of mankind into men, women, and human beings. George spends a few pages talking about how everyone from Adam Smith on down got confused about this (spoiler: it's tied up with thinking wages are drawn from capital), before presenting his model for how it all works. If you want to see him knock that stuff down, see Appendix B (there's a link that returns here at the end): Appendix B: George dunks on the Conventional Laws of Distribution Here's George's model for how it all works: Land is"all natural opportunities or forces" and its return is rent Labor is "all human exertion" and its return is wages Capital is"all wealth used to produce more wealth" and its return is interest George says the false assumption at the root of the old theories is in thinking of "capital as the prime factor in production, land as its instrument, and labor as its agent or tool." George makes the following assertions: "Labor can be exerted only upon land"
Towards a Truly Free Market by John Medaille Appendices These are optional elaborations on sections I glossed over because the Book Review Is Too Damn Long. Appendix A: George Dunks on Malthusianism Malthusianism in George's time was wildly popular, and often invoked by the ascendant proponents of Social Darwinism who took Charles Darwin's theory of "survival of the fittest" and recast it as a moral justification for the Just World Hypothesis. Essentially, those that are doing well do so because they are more "fit", and those that are less "fit" tend to perish, and furthermore, this brutal process will actively "improve" the human race. This philosophy was the energizing intellectual force behind both the Eugenics movement and Nazi Germany. George clearly hates everything about this philosophy but attempts to steel-man it anyways: The Malthusian doctrine, as at present held, may be thus stated in its strongest and least objectionable form: That population, constantly tending to increase, must, when unrestrained, ultimately press against the limits of subsistence, not as against a fixed, but as against an elastic barrier, which makes the procurement of subsistence progressively more and more difficult. And thus, wherever reproduction has had time to assert its power, and is unchecked by prudence, there must exist that degree of want which will keep population within the bounds of subsistence. The weak form of Malthusianism is "people are as dumb as deer and will breed endlessly until there's not enough food and everyone starves to death." The strong form of Malthusianism is, "of course people aren't mindless deer charging into a brick wall, but there is a firm upper limit that can only give so much before nature will cull the herd without mercy." And by George, we can't just dismiss the strong form out of hand: "what seems clearer than that there are too many people?" However, George is suspicious of how easily the Malthusian theory justifies contemporary economic assumptions and assuages the moral sensibilities of the establishment: The great cause of the triumph of this theory is that, instead of menacing any vested right or antagonizing any powerful interest, it is eminently soothing and reassuring to the classes who, wielding the power of wealth, largely dominate thought... It furnishes a philosophy by which Dives as he feasts can shut out the image of Lazarus who faints with hunger at his door; He points out how it lets self-styled "Good Christian Men" reframe their own greed and indifference as just plain good sense: In this view, he who in the midst of want has accumulated wealth, has but fenced in a little oasis from the driving sand which else would have overwhelmed it. He has gained for himself, but has hurt nobody. And even if the rich were literally to obey the injunctions of Christ and divide their wealth among the poor, nothing would be gained. (Aside: I've heard this exact defense offered by many of my fellow Christians) Okay, George makes a strong moral case. But a moral case isn't enough, and I think this is where many activists of all political stripes go wrong. If you attack the premises of an idea as "dangerous" because it could lead to bad consequences, you're still stuck with a real problem if the premises that animate that "dangerous" idea turn out to be actually true. If they're true we're stuck with them, and unless your competing policy admits to the same grim facts, your opponent will just dismiss your entire argument and more importantly, so will their audience. But if the premises aren't true, then the dangerous and scary policy prescription – say, "let the Irish starve to death" – is both evil and unnecessary. History has shown that many officials will shrug their shoulders at "evil" policies so long as they believe them to be "necessary." Cool, we've established that Malthusianism is bad. Now let's establish that it's wrong. A Brief Interlude from the Future From where we're sitting in 2021, we don't even need George to refute Malthusianism, history has done that for us. Instead of increasing at an exponential rate, fertility rates are crashing all over the world. Not in one country, but in virtually every country, and in many the birth rate is already below replacement. Fertility rates have been crashing so hard that some are calling it a "Global Fertility Crisis." The absolute size of the human population is still growing, but this is just due to inertia; the human population will peak somewhere between 9 and 10 billion in the 2060's, and then decline from there. The two main things Malthus got wrong were failing to anticipate 1) advances in food production technology like the Green Revolution, and 2) that humans can control their own fertility rates. George's strongest arguments against Malthusianism strike directly at the provably false claims of its 19th century proponents and provide some extremely salient applications of George's philosophy. George takes up the cause of India, China, and Ireland, which were often cited as examples of "overpopulated" countries where many have starved and been forced to emigrate. Per the Malthusians, this is the fault of too many of these poor, ignorant, and deficient people crammed together in too small a space. By George, it can't be the fault of population density – in his time, Germany, Belgium, England, Netherlands and Italy all have higher population densities than India, China, and Ireland, and could therefore support higher populations with the right conditions. And there's certainly nothing wrong with the people themselves: This arises from no innate deficiency in the people, for the Hindoo, as comparative philology has shown, is of our own blood, and China possessed a high degree of civilization and the rudiments of the most important modern inventions when our ancestors were wandering savages. Instead: It arises from the form which the social organization has in both countries taken, which has shackled productive power and robbed industry of its reward. India is poor not because it has too many Indians, but because it is oppressed by too many Englishmen: The millions of India have bowed their necks beneath the yokes of many conquerors, but worse of all is the steady grinding weight of English domination... India now is like a great estate owned by an absentee and alien landlord George gives us lots of details about the plight of India, China, and Ireland, but for the sake of brevity I'm just going to present the heartbreaking case of the Great Irish Potato Famine and let it stand in for all three. To sum up, from 1845 to 1852 there was a period of mass starvation and disease in Ireland. About one million people died, and another million fled the country. The entire population dropped by about 25%: The extreme poverty of the peasantry and the low rate of wages there prevailing, the Irish famine, and Irish emigration, are constantly referred to as a demonstration of the Malthusian theory worked out under the eyes of the civilized world. Many prominent intellectuals of the day looked at the crisis, shook their heads, and said – what do you expect when those ignorant Irish Catholics breed like rabbits and strain Ireland's carrying capacity to its limit? It's just natural selection at work! George will have none of it: The laborer was just as effectually stripped by as merciless a horde of landlords, among whom the soil had been divided as their absolute possession, regardless of any rights of those who lived upon it. Okay, they had to pay some rent, so what? Didn't they bring their suffering on themselves? Why, the intellectuals ask, didn't the Irish work harder, why did they not improve their local economy and agricultural base? And most importantly, why did they depend on a single monoculture crop (the potato) if a single blight could knock out their entire food supply? By George, because The Rent Was Too Damn High! tenants... even if the rack-rents which they were forced to pay had permitted them, did not dare to make improvements which would have been but the signal for an increase of rent. Labor was thus applied in the most inefficient and wasteful manner. (emphases mine) The Irish were really trapped. Working harder to improve the farmland to increase its yield could actually leave them worse off. Any increase in their land's productivity goes to the landlord in the form of increased rents. But even this structural impoverishment of the land wasn't sufficient to cause the famine. Ireland still produced enough food to feed its people: For when her population was at its highest, Ireland was a food-exporting country. Even during the famine, grain and meat and butter and cheese were carted for exportation along roads lined with the starving and past trenches in which the dead were piled. People were literally starving and dying, but because of the structure of land ownership they couldn't even pay their rent, let alone purchase the food grown from their own lands and raised with their own hands. Since the local population couldn't afford it, the (English) landlords sold it abroad to the highest bidder. It went not as an exchange, but as a tribute – to pay the rent of absentee landlords; a levy wrung from producers by those who in no wise contributed to production... they lived on the potato, because rack-rents stripped everything else from them. The Rent Is Too Damn High, and it's not because the designated underclass of the day have too many babies or are too uneducated, too ignorant, too religious, too lazy, or too foreign. George gets really mad about this, and calls out John Stuart Mill and Henry Thomas Buckle by name for lending credence to the Malthusian explanation of Ireland's suffering. I know of nothing better calculated to make the blood boil than the cold accounts of the grasping, grinding tyranny to which the Irish people have been subjected, and to which, and not to any inability of the land to support its population, Irish pauperism and Irish famine are to be attributed; and were it not for the enervating effect which the history of the world proves to be everywhere the result of abject poverty, it would be difficult to resist something like a feeling of contempt for a race who, stung by such wrongs, have only occasionally murdered a landlord! Appendix B: George dunks on the Conventional Laws of Distribution Conventional Law 1: Wages aredetermined by the ratio between capital devoted to the payment & subsistence of labor, divided up by the number of laborers. Conventional Law 2: Rent is determined by something called the "margin of production," AKA the "margin of cultivation." What's that? Let L be some land. Let W be the worst land available. Let A = the produce L makes. Let B = the produce you get applying the same amount of labor and capital to W. The Rent of L is given by A - B. The margin of production/cultivation is the difference between how much you can produce from a particular piece of land compared to the least productive alternative. This is the only conventional law of distribution that George accepts as correct. Conventional Law 3: Interest is the ratio between capital demanded by borrowers and supplied by lenders, falling as wages rise and vice versa. To quote Mill, interest is determined "by the cost of labor to the capitalist." The problem with these three laws is if Land, Labor, and Capital are the only three factors of production, and each gets its own return, than the three returns should balance. In other words: Return to Production = Rent + Wages + Interest If your three returns sum to more or less than 100% of the return to production, something's off, and George says the old laws don't add up – the only one of these he accepts is the law of rent. What's wrong with the other two? First we've got to stop using "profits" to mean a return to capital. If we look into a profit stream, we see more than one kind of thing. Conventional economists list the following: Wages of "superintendence"
Irish SSC meetups

Irish SSC meetups is a recurring event 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 "Some of you may know me from the Irish SSC meetups". It most often appears alongside 2018, @BendiniUK, @benyeohben.

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Irish SSC meetups
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February 10, 2022 · Original source
#84: Study Cognitive Strategies, Argument Distillation, And Build A Better Social Network (3) Hi, I'm a regular pseudonymous commenter here (and in other Rationalist spaces), but my real name is Isaac P. Burke. Some of you may know me from the Irish SSC meetups. I submitted three proposals: the first, a Rationalist nonprofit to conduct studies on effective cognitive strategies, initially focusing on group rationality in toy scenarios/competitions. The second, a nonprofit social network, not subject to advertiser pressure or clickbait incentives, with a focus on providing users with choices in terms of the moderation and algorithms they want to experience - think AO3. The third, a collaborative tool, based on Gwern's proposal here: https://www.gwern.net/CYOA but focusing on user-submitted arguments, distilling debates down to a dialogue between the most persuasive crowdsourced points on both sides (this would also be useful as an artistic tool for collaborative storytelling, but that's less EA-relevant.) In terms of qualifications, I'm a programmer with experience primarily in games and web design, and a passionate EA, currently working part-time for a small educational nonprofit. None of these proposals necessarily require a huge budget, at least to reach the "minimum viable product" stage - maybe $15k-$20k - but all would require a lot of collaboration (even more so if more than one of them gets interest). If you're interested in volunteering/funding/collaborating on any of these proposals, you can reach me at Isaac.Philip.Burke[at]gmail[dot]com.
Is Forecasting A Promising EA Cause Area?

Is Forecasting A Promising EA Cause Area? is a recurring event 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 "podcast between them on “Is Forecasting A Promising EA Cause Area?” here". It most often appears alongside 17 CFR Part 40, 2024 election, Austin.

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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.
ISIS 2

ISIS 2 is a recurring event 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 "Don’t be alarmed if you hear your doctor was part of ISIS 2; it’s just the International Study on Infarct Survival, second phase". It most often appears alongside AAAS, AIDS, American Academy of Arts and Sciences.

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ISIS 2
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April 12, 2023 · Original source
Don’t be alarmed if you hear your doctor was part of ISIS 2; it’s just the International Study on Infarct Survival, second phase. This was the 1980s, the name was fine back then, that’s not why IRBs got involved.
B. ISIS 2
Italian American Heritage Recognition Week

Italian American Heritage Recognition Week is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between October 07, 2022 and October 07, 2022. The archive places it in contexts such as "rather than Italian American Heritage Recognition Week". It most often appears alongside Adraste, America, American Jews.

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October 07, 2022 · Original source
Beroe: Granted. But at least 1892 was before we had so much physical technology that we let all our social technology atrophy away - and so Benjamin Harrison had the good sense to declare Columbus Day rather than Italian American Heritage Recognition Week. At least we got a real historical figure who we can have feelings about.
Italian referendum

Italian referendum is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between March 16, 2026 and March 16, 2026. The archive places it in contexts such as ""law nerd" who reads this bet on his prediction markets about an upcoming Italian referendum , which will help him cast an informed vote next Sunday". It most often appears alongside 1790, Astralcodexten Com, Caral.

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Italian referendum
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March 16, 2026 · Original source
1: Another ACX Forecasting Contest winner has come forth and revealed themselves. mAd-topo is a statistics PhD working on Bayesian methods. He's looking for an academic job; if you are hiring, read more about him here. He also asks that any "law nerd" who reads this bet on his prediction markets about an upcoming Italian referendum , which will help him cast an informed vote next Sunday.
ITER

ITER is a recurring event 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 "Large fusion experiment means ITER [12], an experiment currently under construction in southern France". It most often appears alongside Alcator C-Mod, Apollo Program, ARC.

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ITER
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June 17, 2022 · Original source
Figure 1: Oof. Along with the plans for fusion in 15-30 years, there was also a reference: ‘fusion never'. This plan would maintain America's plasma physics facilities, but not try to build anything new. Actual funding for fusion in the US has been less than the ‘fusion never' plan. The reason we don't have fusion already is because we, as a civilization, never decided that it was a priority. Fusion funding is literally peanuts: In 2016, the US spent twice as much on peanut subsidies as on fusion research. Fusion Basics Fusion involves ‘burning' lighter elements to make heavier elements. The sun gets its energy by burning hydrogen into helium. We are trying to do something similar [3]. The easiest fusion reaction is burning deuterium and tritium to make helium. Deuterium is an isotope of hydrogen with one proton & one neutron and tritium is an isotope of hydrogen with one proton & two neutrons. Helium has two protons and two neutrons, so one free neutron is produced by the reaction as well. Figure 2: The D-T fusion reaction. This reaction can be written as: 12D +13T 24He +01n . The subscript is the number of protons that each element has and the superscript is the number of protons + neutrons [4]. Both of these numbers are conserved: if you add up the total superscript on the left, it must equal the total superscript on the right. Several other fusion reactions are sometimes discussed as alternatives to deuterium-tritium fusion. All of them are at least several times more difficult, so they are unlikely to be the first fuel we use to get fusion. Maybe someday we'll switch to deuterium-deuterium fusion or something else, but for now, the emphasis is on what's easiest. What do you need to get a fusion reaction going? Think about the chemical reactions in combustion. You need to get the fuel to a high enough temperature, and then chemical reactions occur that release energy. Fusion is similar, but with much larger temperatures and energies. Combustion occurs at a temperature of about 1000 Kelvin [5] and each reaction releases about 10 electron volts of energy. Fusion occurs at about 100 million Kelvin and each reaction releases about 10 million electron volts. Along with a high enough temperature, you also need to have a high enough density and confinement time. Density is important because fusion requires a collision between a deuterium nucleus and a tritium nucleus. When the density is higher, stuff is more likely to run into each other. We also need to confine the fuel and the energy long enough for these collisions to occur. We don't want the particles to leave the reactor without fusing. If the energy leaks out too quickly, then the fuel will cool down too quickly to burn. Multiply these three quantities, density, temperature, and confinement time [6], to get the plasma triple product. Lawson's criterion states that, if the triple product is high enough, then you will get fusion. We also measure the success of fusion using Q. Q is the ratio of the amount of energy you put into the fuel to the amount of energy produced by fusion. News articles often focus on Q=1, or ‘scientific breakeven' [7], when you get as much energy out of the fuel as you put in. Other significant milestones are Q=5, ‘burning', and Q=∞, ‘ignition', when the fusion sustains itself without any external heating. Q is entirely determined by the triple product. To get Q=1 for D-T fusion, you need a triple product of 51021 keV s / m3. Getting a large Q is the goal of fusion science. Getting a large triple product is how we achieve that goal. We can use the triple product to measure progress towards fusion. Have We Made Progress? How much progress have we made towards fusion? Figure 3: This looks great ! The fusion triple product has grown exponentially. It has doubled every 1.8 years, which is even faster than Moore's Law. The best triple product we've gotten is five orders of magnitude better than what we started with in 1970. But wait. This data only goes up to 2000. If we extrapolate the trend line, we would have built a commercial fusion reactor in 2005. The world is not awash in fusion energy, so this trend clearly did not continue. There has been little progress towards a larger triple product since 2000. Why did this trendline stop? Why do I think that this is about to get started again? I will answer these questions, but first, a few words on how we've made progress so far. Plasma Basics Fusion occurs at such high temperatures that everything is ionized: The electrons and nuclei cannot stick together as atoms and instead move independently. Matter in this state is called a ‘plasma' [8]. Plasma is by far the most common state of matter in the universe. Stars are made of plasma, as well as the low density matter in the space between stars. When a fusion plasma comes in contact with anything solid (or liquid or even gas), either the solid will vaporize or the plasma will cool down. Both of these are very bad for achieving controlled fusion on Earth. We can't just put our fusion plasma in a container. How do we bottle the core of the sun? With a magnetic field. The electrons and ions in a fusion plasma are charged. Charged particles spiral around magnetic field lines and will not move freely perpendicular to the magnetic field. This confines the plasma in two dimensions. To confine the plasma in the third dimension, loop the magnetic field around in the shape of a doughnut [9]. The particles can move around the doughnut, but stay confined within it. Figure 4: A charged particle spiraling around a doughnut-shaped magnetic field. This is still not quite enough. Charged particles will drift in a curved magnetic field, which causes them to leak out the outer side of the doughnut. We can solve this problem by making the magnetic field twist, like a French cruller. Particles near the outer edge, drifting outwards, will follow the magnetic field line around to the inner edge, where they will drift back towards the core. The easiest way to make the magnetic field twist is to run a current through the plasma. You don't need to (and can't) run a wire there. Plasmas are full of charged particles that can move. When more of the electrons move in one direction around the doughnut then in the other direction, it will create a current. So a fusion experiment should (1) create an extremely strong magnetic field pointing around the doughnut, (2) heat deuterium and tritium to 100 million degrees inside the doughnut, and (3) drive a current around the doughnut. The magnetic field can be created by superconducting electromagnetic coils which go around and through the doughnut. Turning on the coils provides some initial heating and current, but to sustain it, you need to inject accelerated particles or waves from the side. This kind of fusion experiment is called a tokamak [10]. Figure 5: The coils and magnetic fields of a tokamak. Small, Medium, and Large Experiments I find it helpful to classify fusion experiments by their size. This is not standardized, so different people will classify them differently. The larger the experiment, the farther the particles have to move (perpendicular to the magnetic field) to get from the core to the outer edge. Larger experiments inherently have a longer confinement time. Small fusion experiments are sometimes called ‘tabletop' experiments. This doesn't always mean that they fit on a tabletop, but they can fit in the physics building of a research university without too much disruption. The doughnut has a radius of about 1 m. The support requirements (power supply, control systems, measuring equipment, etc.) aren't too different from other physics labs. Figure 6: The first tokamak, T-1, did fit on a tabletop. Medium fusion experiments have a radius of about 1.5 - 3 m. They require their own facility for all of their support systems, but they typically fit in a single building. One prominent medium experiment is JET [11]. Figure 7: Someone inside JET. They have to wear a protective suit because tritium is nasty stuff. Large fusion experiment means ITER [12], an experiment currently under construction in southern France. ITER has a diameter of over 6 meters. The experiment itself has a five story building. Supporting buildings cover about 100 acres or 0.5 km2. Figure 8: Construction at ITER as of May 2021. ITER We can now answer some of our earlier questions. The reason why progress has stalled is because we did as much as we could do on medium experiments. No country has been willing to provide enough money to build its own large experiment. So the fusion community has been gathering money from all around the world for decades for a single project [13]. ITER is supported by Europe (EU + UK + Switzerland), the US (which withdrew in 1999 and rejoined in 2003 [14]), Russia, Japan, China, South Korea, and India. 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 2: The D-T fusion reaction. This reaction can be written as: 12D +13T 24He +01n . The subscript is the number of protons that each element has and the superscript is the number of protons + neutrons [4]. Both of these numbers are conserved: if you add up the total superscript on the left, it must equal the total superscript on the right. Several other fusion reactions are sometimes discussed as alternatives to deuterium-tritium fusion. All of them are at least several times more difficult, so they are unlikely to be the first fuel we use to get fusion. Maybe someday we'll switch to deuterium-deuterium fusion or something else, but for now, the emphasis is on what's easiest. What do you need to get a fusion reaction going? Think about the chemical reactions in combustion. You need to get the fuel to a high enough temperature, and then chemical reactions occur that release energy. Fusion is similar, but with much larger temperatures and energies. Combustion occurs at a temperature of about 1000 Kelvin [5] and each reaction releases about 10 electron volts of energy. Fusion occurs at about 100 million Kelvin and each reaction releases about 10 million electron volts. Along with a high enough temperature, you also need to have a high enough density and confinement time. Density is important because fusion requires a collision between a deuterium nucleus and a tritium nucleus. When the density is higher, stuff is more likely to run into each other. We also need to confine the fuel and the energy long enough for these collisions to occur. We don't want the particles to leave the reactor without fusing. If the energy leaks out too quickly, then the fuel will cool down too quickly to burn. Multiply these three quantities, density, temperature, and confinement time [6], to get the plasma triple product. Lawson's criterion states that, if the triple product is high enough, then you will get fusion. We also measure the success of fusion using Q. Q is the ratio of the amount of energy you put into the fuel to the amount of energy produced by fusion. News articles often focus on Q=1, or ‘scientific breakeven' [7], when you get as much energy out of the fuel as you put in. Other significant milestones are Q=5, ‘burning', and Q=∞, ‘ignition', when the fusion sustains itself without any external heating. Q is entirely determined by the triple product. To get Q=1 for D-T fusion, you need a triple product of 51021 keV s / m3. Getting a large Q is the goal of fusion science. Getting a large triple product is how we achieve that goal. We can use the triple product to measure progress towards fusion. Have We Made Progress? How much progress have we made towards fusion? Figure 3: This looks great ! The fusion triple product has grown exponentially. It has doubled every 1.8 years, which is even faster than Moore's Law. The best triple product we've gotten is five orders of magnitude better than what we started with in 1970. But wait. This data only goes up to 2000. If we extrapolate the trend line, we would have built a commercial fusion reactor in 2005. The world is not awash in fusion energy, so this trend clearly did not continue. There has been little progress towards a larger triple product since 2000. Why did this trendline stop? Why do I think that this is about to get started again? I will answer these questions, but first, a few words on how we've made progress so far. Plasma Basics Fusion occurs at such high temperatures that everything is ionized: The electrons and nuclei cannot stick together as atoms and instead move independently. Matter in this state is called a ‘plasma' [8]. Plasma is by far the most common state of matter in the universe. Stars are made of plasma, as well as the low density matter in the space between stars. When a fusion plasma comes in contact with anything solid (or liquid or even gas), either the solid will vaporize or the plasma will cool down. Both of these are very bad for achieving controlled fusion on Earth. We can't just put our fusion plasma in a container. How do we bottle the core of the sun? With a magnetic field. The electrons and ions in a fusion plasma are charged. Charged particles spiral around magnetic field lines and will not move freely perpendicular to the magnetic field. This confines the plasma in two dimensions. To confine the plasma in the third dimension, loop the magnetic field around in the shape of a doughnut [9]. The particles can move around the doughnut, but stay confined within it. Figure 4: A charged particle spiraling around a doughnut-shaped magnetic field. This is still not quite enough. Charged particles will drift in a curved magnetic field, which causes them to leak out the outer side of the doughnut. We can solve this problem by making the magnetic field twist, like a French cruller. Particles near the outer edge, drifting outwards, will follow the magnetic field line around to the inner edge, where they will drift back towards the core. The easiest way to make the magnetic field twist is to run a current through the plasma. You don't need to (and can't) run a wire there. Plasmas are full of charged particles that can move. When more of the electrons move in one direction around the doughnut then in the other direction, it will create a current. So a fusion experiment should (1) create an extremely strong magnetic field pointing around the doughnut, (2) heat deuterium and tritium to 100 million degrees inside the doughnut, and (3) drive a current around the doughnut. The magnetic field can be created by superconducting electromagnetic coils which go around and through the doughnut. Turning on the coils provides some initial heating and current, but to sustain it, you need to inject accelerated particles or waves from the side. This kind of fusion experiment is called a tokamak [10]. Figure 5: The coils and magnetic fields of a tokamak. Small, Medium, and Large Experiments I find it helpful to classify fusion experiments by their size. This is not standardized, so different people will classify them differently. The larger the experiment, the farther the particles have to move (perpendicular to the magnetic field) to get from the core to the outer edge. Larger experiments inherently have a longer confinement time. Small fusion experiments are sometimes called ‘tabletop' experiments. This doesn't always mean that they fit on a tabletop, but they can fit in the physics building of a research university without too much disruption. The doughnut has a radius of about 1 m. The support requirements (power supply, control systems, measuring equipment, etc.) aren't too different from other physics labs. Figure 6: The first tokamak, T-1, did fit on a tabletop. Medium fusion experiments have a radius of about 1.5 - 3 m. They require their own facility for all of their support systems, but they typically fit in a single building. One prominent medium experiment is JET [11]. Figure 7: Someone inside JET. They have to wear a protective suit because tritium is nasty stuff. Large fusion experiment means ITER [12], an experiment currently under construction in southern France. ITER has a diameter of over 6 meters. The experiment itself has a five story building. Supporting buildings cover about 100 acres or 0.5 km2. Figure 8: Construction at ITER as of May 2021. ITER We can now answer some of our earlier questions. The reason why progress has stalled is because we did as much as we could do on medium experiments. No country has been willing to provide enough money to build its own large experiment. So the fusion community has been gathering money from all around the world for decades for a single project [13]. ITER is supported by Europe (EU + UK + Switzerland), the US (which withdrew in 1999 and rejoined in 2003 [14]), Russia, Japan, China, South Korea, and India. 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 7: Someone inside JET. They have to wear a protective suit because tritium is nasty stuff. Large fusion experiment means ITER [12], an experiment currently under construction in southern France. ITER has a diameter of over 6 meters. The experiment itself has a five story building. Supporting buildings cover about 100 acres or 0.5 km2. Figure 8: Construction at ITER as of May 2021. ITER We can now answer some of our earlier questions. The reason why progress has stalled is because we did as much as we could do on medium experiments. No country has been willing to provide enough money to build its own large experiment. So the fusion community has been gathering money from all around the world for decades for a single project [13]. ITER is supported by Europe (EU + UK + Switzerland), the US (which withdrew in 1999 and rejoined in 2003 [14]), Russia, Japan, China, South Korea, and India. 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)
Iterated Prisoner’s Dilemma Tournament

Iterated Prisoner’s Dilemma Tournament is a recurring event in the Astral Codex Ten archive, appearing 1 times across 1 issues between November 14, 2024 and November 14, 2024. The archive places it in contexts such as "In 1980, game theorist Robert Axelrod ran a famous Iterated Prisoner’s Dilemma Tournament". It most often appears alongside 1 Corinthians 6, America, Axelrod.

Mention count
1
Issue count
1
First seen
November 14, 2024
Last seen
November 14, 2024
November 14, 2024 · Original source
In 1980, game theorist Robert Axelrod ran a famous Iterated Prisoner’s Dilemma Tournament.