Scott examines prediction markets on Anthropic's Pentagon troubles (minimal impact expected), the 2026 midterms (Democratic wins likely despite voting law concerns), groundhog weather predictions (mostly broken clocks), Iran conflict outcomes (under 50% regime change), and introduces MNX, a new AI-focused futures exchange. Longer summary

Scott analyzes several recent prediction market stories. First, he examines how Anthropic's stock price barely changed after the Pentagon declared it a 'supply chain risk', because markets predict the company will win on appeal and the designation only affects a small portion of their business while generating positive publicity. He then discusses the 2026 midterms, where Democrats are favored to win but various Republican voting law changes could create chaos, though markets suggest turnout won't be significantly affected. The post includes a statistical analysis of groundhog weather predictions, showing Staten Island Chuck's high accuracy is likely due to consistently predicting spring. He covers prediction markets about the Iran conflict, including regime change odds and potential casualties. Finally, he announces MNX, a new cryptocurrency-based futures exchange focused on AI-related hedging markets, and shares miscellaneous prediction market news including Substack's partnership with Polymarket. Shorter summary

The post examines the spectacle of US elections, analyzes recent developments in prediction markets, and discusses various election-related forecasts and their implications. Longer summary

This post discusses the intense atmosphere surrounding Election Day in the United States, comparing it to historical spectacles and highlighting the emotional and psychological impact on the population. It then delves into prediction markets and forecasting, particularly focusing on recent events in Polymarket where a large bet by a single individual caused significant market movements. The post also covers legal developments regarding prediction markets, discusses various election-related predictions, and concludes with a poetic reflection on Election Day. 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 explores AI forecasting capabilities, compares prediction market performances, and provides updates on various ongoing predictions in technology and politics. Longer summary

This post discusses recent developments in AI forecasting and prediction markets. It covers a study testing GPT-2's ability to predict past events, reports on Metaculus' accuracy compared to low-information priors and Manifold Markets, and updates on various prediction markets including those related to AI development, abortion medication, and Elon Musk's role at Twitter. The author also mentions new features in prediction platforms and research on forecasting methodologies. Shorter summary

Scott updates readers on the Impact Market Mini-Grants project, detailing recent developments and the project timeline. Longer summary

Scott Alexander provides an update on the Impact Market Mini-Grants project, which tests a new model of charitable funding. The post outlines recent developments, including an increase in the potential funding pot, the submission of 16 projects, and the start of the investment phase for accredited investors. It also details the current schedule for the project, from the deadline for submissions to the final funding decisions in September. Shorter summary

Scott Alexander announces a $20,000 grants round for forecasting projects using impact certificates, explaining the process for creators and investors. Longer summary

Scott Alexander announces the Forecasting Impact Mini-Grants, a $20,000 grants round for forecasting projects using impact certificates. The post explains how creators can propose projects on Manifund, how accredited investors can participate, and how the funding will work. It also covers the role of Manifold Markets, the legal and financial aspects, and addresses various questions about eligibility, funding sources, and potential risks. The initiative aims to test impact markets as a charitable funding mechanism while supporting forecasting-related projects. Shorter summary

Scott Alexander announces a formalized 2023 Prediction Contest with 50 questions, multiple modes of play, and cash prizes. Longer summary

Scott Alexander announces the 2023 Prediction Contest, a formalized version of his annual predictions. The contest includes 50 forecasting questions and 5 demographic questions. Participants can play in Blind Mode (limited research, no external sources) or Full Mode (unlimited research). There are multiple prizes, including $500 for winners in different categories. The contest aims to create a standard for comparing forecasters and forecasting sites, with plans to correlate personality traits with forecasting accuracy in a future ACX Survey. Shorter summary

Scott Alexander analyzes prediction markets on Twitter, FTX, effective altruism, and US midterms, discussing their accuracy and exploring the concept of 'scandal markets'. Longer summary

Scott Alexander discusses recent prediction markets on Manifold and other platforms, focusing on topics like Twitter's future under Elon Musk, the FTX scandal and its impact on effective altruism, and the 2022 US midterm elections. He analyzes the accuracy of different prediction markets and polling aggregators, and explores the potential benefits and risks of 'scandal markets' for public figures. The post also touches on regulatory challenges for prediction markets and some interesting market observations. Shorter summary

Scott Alexander discusses recent developments in prediction markets, including midterm forecasts, legal challenges, nuclear risk assessments, and new market applications. Longer summary

This post covers various topics related to prediction markets and forecasting, including midterm election predictions, the CFTC's actions against PredictIt, nuclear risk forecasts, Kalshi's application for election markets, and updates on various prediction markets and forecasts. Scott discusses the discrepancies between poll-based and prediction market-based forecasts for the US midterms, the legal challenges to the CFTC's decision to shut down PredictIt, and recent nuclear risk assessments by forecasting groups. He also covers Kalshi's efforts to gain approval for election markets and provides updates on several ongoing prediction markets. Shorter summary

Scott Alexander examines the shutdown of PredictIt and its implications for the prediction market industry, while also highlighting new developments and forecasts in the field. Longer summary

This post discusses the recent shutdown of PredictIt, a prominent prediction market, by the CFTC. It explores potential reasons for the shutdown, including suspicions of lobbying by competitor Kalshi. The post also covers new developments in the prediction market space, including Hedgehog Markets allowing user-created markets, a forecasting tournament by the Salem Center and CSPI, and updates on various prediction markets and their forecasts on topics like China-US conflict, AI-generated music, and remote college education. Shorter summary

Scott Alexander analyzes prediction markets for the Ukraine crisis, introduces Manifold Markets, and discusses recent Metaculus questions and forecasting initiatives. Longer summary

Scott Alexander discusses various prediction markets and forecasting platforms, focusing on the Ukraine crisis, a new prediction market called Manifold Markets, and recent questions on Metaculus. He analyzes the probabilities of a Russian invasion of Ukraine across different platforms, introduces the concept of an 'Alexander Cube' for ideal prediction markets, and highlights interesting markets on Manifold. The post also covers new Metaculus questions on intelligence enhancement and environmental issues, and mentions several forecasting-related contests and grants. Shorter summary