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.

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.

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.

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

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

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

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

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.

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.

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.

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

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'.

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

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.

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

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

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

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.

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

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

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

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.

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