Scott Alexander's April 2026 links roundup covers diverse topics including Venn diagram complexity, flag desecration laws, AI developments, political analysis, scientific studies, and various cultural curiosities. Longer summary

This monthly links post compiles interesting articles, studies, and observations from across the internet in April 2026. Major themes include AI progress and policy (including discussions of AI alignment, capabilities, and regulation), political developments (Trump administration actions, election analysis), scientific findings (from evolutionary psychology to medical treatments), and various cultural oddities. Scott provides brief commentary on each link while noting that he hasn't independently verified all claims and that commenters typically find errors in a few links per post. Shorter summary

A guest post arguing that ratifying the Congressional Apportionment Amendment from the original Bill of Rights would expand the House to 6,641 members and fix Congress by reducing gerrymandering, diluting donor influence, and increasing constituent accountability. Longer summary

This guest post by David Speiser argues for ratifying the Congressional Apportionment Amendment, the only unratified amendment from the original Bill of Rights, which would expand the House of Representatives from 435 to about 6,641 members by setting one representative per 50,000 citizens. The post explains how Congress's current dysfunction stems from gerrymandering, money in politics, and polarization, and argues that a much larger House would ameliorate these problems by making districts smaller and harder to gerrymander, diluting the influence of big donors, and forcing representatives to be more accountable to local constituents. The amendment has already been ratified by 11 states and needs 27 more, avoiding the problem that most Congressional reforms require Congressional approval. The post acknowledges a typo in the amendment's wording that could force an interesting legal battle between textualism and originalism, and ends with a pitch to state legislators explaining why both parties should support ratification. Shorter summary

Scott reviews comments on his vibecession post, exploring when it started, whether it's really about economics or culture, and notably finding that China experiences similar pessimism despite 5-10x income growth, suggesting vibes can be completely divorced from economic reality. Longer summary

Scott Alexander reviews and discusses comments on his previous post about the 'vibecession' (the disconnect between good economic indicators and negative public sentiment). The discussion covers when the vibecession actually started, whether economic complaints are proxies for cultural dissatisfaction, housing and inflation concerns, international comparisons (especially China's similar phenomenon despite massive economic growth), and concludes that vibes may be genuinely divorced from economic reality, though housing prices and partisan political feelings play significant roles. Shorter summary

Scott's monthly roundup of interesting links covering AI policy developments, technology news, cultural observations, and scientific research from December 2025. Longer summary

This is Scott Alexander's monthly collection of links and commentary covering diverse topics. Major themes include AI policy battles (chip sales to China, regulation debates, political campaigns), startup news (Substrate fraud allegations, Tornyol mosquito drones), and scientific updates (COVID origins, Hitler's DNA, lactose intolerance). The post also covers cultural topics like the first millennial saint, Dimes Square commentary, and political polling about ideal Democratic candidates. Scott provides his characteristic mix of straightforward reporting, skeptical analysis, and occasional humor throughout the 53 linked items. Shorter summary

Scott Alexander presents his monthly collection of interesting links and developments across technology, science, culture, and policy, with personal commentary on each item. Longer summary

Scott Alexander shares a collection of 61 interesting links, spanning topics from AI development and scientific studies to cultural observations and policy discussions. The post covers diverse subjects including GPT-5's reception, genetic research, religious demographics, urban development, mental health studies, and various scientific discoveries. Scott provides commentary and analysis on many of these items, often connecting them to broader themes or offering his perspective on controversial issues. Shorter summary

A collection of 41 interesting links and news items from April 2025, covering AI, politics, culture, and science, with Scott's commentary on each. Longer summary

This is a links roundup post featuring various interesting news, studies, and curiosities from April 2025. The post covers a wide range of topics including AI developments (particularly around OpenAI and truth-seeking AI), political updates (about Trump, immigration policy, and minimum wage effects), cultural items (like etymology of cowboy terms and medieval perception), and scientific findings. Scott maintains a light, sometimes humorous tone while sharing these diverse pieces of information, occasionally adding his own analysis or perspective on controversial topics. Shorter summary

Scott shares various interesting links and news items from January 2025, covering topics from AI development and politics to historical curiosities and economic trends. Longer summary

This links post covers a wide array of topics from January 2025, with Scott providing commentary and analysis on each. The links include discussions about running for Congress, AI development and safety, dating advice, psychiatric diagnoses, and various economic and technological developments. Scott often adds his own insights and sometimes skepticism to the claims being discussed. The post also includes several historical curiosities and social observations, maintaining a mix of serious analysis and lighter interesting facts. Shorter summary

Scott shares 55 interesting links covering topics from AI poetry to religious movements, including updates on various projects, unusual historical events, and current developments in technology, politics, and society. Longer summary

This is Scott's monthly links post for December 2024, collecting various interesting stories and developments. The links cover a wide range of topics, from Steven Seagal's bizarre life trajectory to developments in AI and technology, including updates on previous ACX topics and grants. Many links relate to ongoing discussions in the rationalist and EA communities, including debates about effective altruism and charitable giving. The post also includes various curiosities from history, culture, and current events, with Scott often providing his own analysis or perspective on the items shared. Shorter summary

Scott Alexander reports on the Progress Studies Conference, discussing advances in energy, AI, housing policy, and other fields, with an overall optimistic tone about recent developments and potential for future progress. Longer summary

Scott Alexander recounts his experience at the Progress Studies Conference, which focused on various technological and social advancements. The conference covered topics such as energy (particularly solar and nuclear power), politics and regulation, AI, YIMBY movement, self-driving cars, and other areas of potential progress. The overall mood was optimistic about recent developments in these fields, with many speakers highlighting how regulatory changes could accelerate progress. Scott notes that while the conference itself may not be directly responsible for recent advances, it reflects a growing awareness of the importance of technological progress and the need to address regulatory barriers. Shorter summary

The post examines the performance of prediction markets in elections, current political forecasts, and various other prediction markets, while also discussing the challenges and potential of forecasting. Longer summary

This post discusses several topics related to prediction markets and forecasting. It starts by examining a claim that prediction markets have an 'election problem', showing that real-money markets performed poorly in recent elections. The author then analyzes current polls and prediction markets for the 2024 US presidential election, noting discrepancies between different platforms. The post also explores a forecasting experiment on AI futures, and reviews several other prediction markets on current events. Finally, it includes short links to other forecasting-related news and reflections. Shorter summary

Scott Alexander argues that misusing terms like 'democratic' and 'accountable' can inadvertently justify totalitarianism, and suggests more careful usage of these terms. Longer summary

Scott Alexander critiques the misuse of terms like 'democratic' and 'accountable', arguing that when taken to extremes, they can justify totalitarianism. He illustrates this through examples in religious freedom, charitable donations, and AI development, showing how demands for complete 'democracy' or 'accountability' in all aspects of life can lead to the erosion of personal freedoms. The post suggests that these terms should be used more carefully, with 'democratic' applied mainly to government structures and 'accountable' reserved for specific power dynamics, to avoid inadvertently promoting totalitarian ideas. Shorter summary

Scott Alexander explores various explanations for why top students attend the best colleges, including optimistic views about maximizing potential and cynical views about signaling and 'privilege laundering'. Longer summary

Scott Alexander explores the question of why top students are sent to the best colleges, presenting both optimistic and cynical explanations. He discusses the potential benefits of matching high-performing students with expert teachers, but also considers the signaling theory of education. The post delves into a fascinating hypothesis about elite colleges functioning as 'privilege laundering' machines, mixing meritocratic and privileged students to create a universally recognized signal of merit. Scott examines the potential advantages and drawbacks of this system, concluding that while imperfect, it may be preferable to alternatives that completely disregard merit. Shorter summary

Scott Alexander argues that increasing housing density in a city may actually increase local prices due to induced demand, while lowering prices nationally. Longer summary

Scott Alexander challenges Matt Yglesias's claim that building more houses lowers local house prices. He argues that while this may be true on a marginal level, looking at the extremes shows a different picture. The densest US cities (New York, San Francisco) are also the most expensive, while the least dense areas have the lowest prices. Scott proposes that increasing density in a city like Oakland would likely increase its prices due to induced demand, as it becomes more attractive to people seeking big city amenities. He suggests that building more houses would lower prices nationwide, but not necessarily in the specific city where construction occurs, creating a coordination problem for housing policy. Shorter summary

Scott Alexander shares a diverse collection of interesting links and news items for April 2023, covering topics from unusual stories and scientific research to AI developments and global trends. Longer summary

Scott Alexander presents a collection of interesting links and news items for April 2023. The post covers a wide range of topics, including unusual stories, scientific research, political developments, AI progress and concerns, cultural phenomena, and more. Notable items include a real-life 'Cocaine Bear' story, an adversarial collaboration on income and happiness, concerns about AI development, and updates on global trends like birth rates in Africa. The post also includes several short fiction recommendations and humorous AI-related anecdotes. Shorter summary

Scott Alexander analyzes results from a 2022 prediction contest, discussing top performers and methods for improving forecast accuracy. Longer summary

Scott Alexander reviews the results of a 2022 prediction contest where 508 participants assigned probabilities to 71 yes-or-no questions about future events. The post discusses the performance of individual forecasters, aggregation methods, and prediction markets. It highlights the success of superforecasters, the wisdom of crowds, and prediction markets. The article also announces winners, discusses demographic factors in forecasting ability, and introduces a new contest for 2023, emphasizing the potential for improving forecasting accuracy through various methods. Shorter summary

Scott Alexander reviews popular Substack blogs from various categories, offering humorous commentary and insights on each. Longer summary

Scott Alexander explores various Substack blogs across different categories, offering humorous commentary and insights on each. He starts with a popular culture blog about celebrity gossip, moves on to a top political newsletter, then examines blogs on faith and spirituality, business, food and drink, music, international affairs, and sports. Throughout, Scott mixes analysis of the content with witty observations about the nature of blogging and the diverse 'universes' represented by different Substack niches. Shorter summary

A detailed review of Michael Shellenberger's 'San Fransicko', examining its critiques of San Francisco's progressive policies on homelessness, drugs, and crime. Longer summary

This post reviews Michael Shellenberger's book 'San Fransicko', which criticizes progressive policies on homelessness, drug addiction, and crime in San Francisco. The review examines key claims in the book, fact-checking statistics and comparing them to other sources. While finding some of Shellenberger's criticisms valid, the review also points out areas where the book presents a one-sided narrative or misrepresents data. Overall, the reviewer sees the book as a flawed but thought-provoking critique of San Francisco's approach to urban problems. Shorter summary

Scott Alexander examines which US political party has become more extreme faster, concluding Democrats have moved further left on policy since 1994, while results vary for other aspects of extremism. Longer summary

Scott Alexander analyzes the question of which political party in the US has become more extreme faster, breaking it down into four sub-questions. He concludes that Democrats have moved further left on policy positions since 1994 than Republicans have moved right, based on survey data and first principles. On divergence from ordinary Americans, he calls it a tie. Regarding ideological purity, Republicans show more polarization in Congress, but it's unclear for average voters. Scott avoids declaring a winner on which party has become crazier in worldview and messaging. He argues the policy position change is most important, supporting the meme that Democrats have moved more extreme, while noting other interpretations could point to Republicans. Shorter summary

Scott Alexander evaluates predictions about the Russia-Ukraine war, analyzing the performance of prediction markets and individual pundits. Longer summary

Scott Alexander reviews various predictions about the Russia-Ukraine war, evaluating pundits and prediction markets on their accuracy regarding the invasion and Ukrainian resistance. He discusses the performance of Metaculus, Polymarket, Manifold Markets, and individual forecasters like Edward Luttwak, Anatoly Karlin, Richard Hanania, Dmitri Alperovich, Tyler Cowen, Samo Burja, and others. Scott notes that most failed predictions were based on political precommitments, while successful ones often aligned with biases that happened to match reality. He concludes that having a bias corresponding to the outcome is often more important than being smart when it comes to prediction success. Shorter summary

Scott Alexander shares his predictions for 2022 on various topics, comments on predictions from other sources, and announces a prediction contest for readers. Longer summary

Scott Alexander presents a list of predictions for 2022 covering various topics including US politics, world events, economics, technology, COVID-19, personal life, and his blog. He assigns probabilities to each prediction. The post also includes predictions from Vox and Matt Yglesias, which Scott comments on and adjusts based on his own views. The post ends with an announcement of a prediction contest for readers, based on the same set of questions. Shorter summary

Scott Alexander reviews 'Don't Look Up', critiquing its contradictory narratives about trusting science and experts vs. outsiders. Longer summary

Scott Alexander reviews the movie 'Don't Look Up', focusing on its political implications rather than its message about existential risk. He summarizes the plot, then critiques the film's self-contradictory narratives about trusting experts vs. trusting outsiders. Scott argues that the movie unintentionally encourages conspiracy thinking while trying to promote 'trusting science'. He explains how people often hold contradictory political narratives, deploying whichever is convenient. The review concludes that the film succeeds in conveying emotions around existential risk debates but fails to coherently follow through on its intended message. Shorter summary

Scott discusses various prediction markets and forecasting topics, including Metaculus predictions, Polymarket vs PredictIt, a study on forecasting accuracy, and the need for more precise inflation predictions from experts. Longer summary

This post covers various prediction markets and forecasting topics. It starts with Metaculus predictions on Puerto Rico statehood, Jeff Bezos' potential investment in anti-aging, crypto site defaults, and the population of Prospera. The author then discusses Polymarket, comparing its liquidity to PredictIt for the NYC mayoral race. The post also analyzes a study on forecasting accuracy from PredictionBook, showing that more experienced predictors perform better and that longer-term predictions are often more accurate. Finally, the author addresses the current debate on inflation predictions, calling for more precise and accountable forecasts from economists and pundits. Shorter summary

Scott Alexander examines Matt Yglesias's public predictions and discusses the implications for evaluating pundits and the future of prediction-based journalism. Longer summary

Scott Alexander discusses Matt Yglesias's recent foray into making public predictions, a practice uncommon among pundits. He compares Yglesias's predictions to those on Metaculus and reflects on the broader implications for journalism and punditry. Scott explores the challenges of fairly evaluating pundits based on predictions, the artificiality of predetermined prediction sets, and the disconnect between prediction accuracy and valuable commentary. He suggests that pundits should make predictions directly related to their claims and proposes using prediction markets as a benchmark for pundit performance. Shorter summary