Scott Alexander endorses Harris, Oliver, or Stein for the 2024 US presidential election, arguing against Trump's authoritarianism while acknowledging and countering arguments that Democrats may be more subtly authoritarian. Longer summary

Scott Alexander endorses Kamala Harris, Oliver, or Stein for the 2024 US presidential election, recommending Harris in swing states and Harris or a third-party candidate in safe states. He argues against Trump primarily on the grounds of authoritarianism, comparing the threat to Hugo Chavez's Venezuela. Scott acknowledges the strongest counter-argument that Democrats may be more subtly authoritarian, but ultimately rejects it for four reasons: the importance of punishing clear norm violations, current political headwinds favoring the right, personal integrity, and Trump's own authoritarian tendencies. The post ends with a reflection on the psychological tendency to view elections as a two-character drama between oneself and the Democratic Party, urging readers to consider the full comparison between candidates. Shorter summary

Scott Alexander reviews recent developments in prediction markets and forecasting, including regulatory changes, platform pivots, and debates about the field's future. Longer summary

Scott Alexander reviews recent developments in prediction markets and forecasting. He discusses the CFTC's move to further restrict prediction markets, Manifold Markets' pivot to a sweepstakes model, a superforecasting report on COVID-19 origins, and debates about the future and value of forecasting. The post also covers various prediction market probabilities on current events and links to other forecasting news. 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