Scott argues that Viktor Orban's election loss doesn't vindicate him or disprove concerns about democratic backsliding, since autocrats can do many undemocratic things and still lose elections. Longer summary

Scott Alexander responds to commentary suggesting that Viktor Orban's recent election loss proves critics who called him authoritarian were overreacting. He argues that democracy versus dictatorship exists on a spectrum, and that Orban engaged in numerous undemocratic practices (media control, gerrymandering, phone tapping, etc.) even though he ultimately lost. Scott provides historical examples of dictators and autocrats who also lost elections (Pinochet, Milosevic, Putin, Chavez), showing that losing an election doesn't retroactively prove a leader wasn't undermining democracy. He concludes by connecting this to Trump, acknowledging he initially dismissed concerns about Trump threatening democracy but changed his mind after the 2020 election and January 6, and argues we shouldn't discard the "democratic backsliding" framework just because Orban lost. Shorter summary

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

Scott reviews the state of prediction markets after explosive growth, finding that most volume is degenerate sports gambling rather than useful forecasting, and proposes both technical solutions and two potential futures for the field. Longer summary

Scott Alexander examines the current state of prediction markets after their recent explosion in popularity, noting that while volume has grown from millions to billions per month, most of it comes from sports betting rather than the epistemic improvement he'd hoped for. He explores several problems: markets aren't asking the most important questions society needs answered; resolution criteria disputes ("rulescucking") create controversy; and there are concerns about insider trading and manipulation. He proposes solutions including a novel approach to conditional markets and suggests two paths forward: either creating user-generated, subjectively-resolved real-money markets (the "Siskind Cube"), or accepting that prediction markets' main value may be as training data for AI forecasters that could make the markets themselves obsolete by late 2026. Shorter summary

Scott Alexander praises Polymarket's election success but argues their Trump odds were mispriced, explaining why Trump's win doesn't significantly validate their numbers over other forecasters. Longer summary

Scott Alexander congratulates Polymarket for their success during the recent election, but argues that their Trump shares were mispriced by about ten cents. He uses Bayes' Theorem to explain why Trump's victory doesn't significantly vindicate Polymarket's numbers. Scott compares the situation to non-money forecasters like Metaculus versus real-money markets like Polymarket, explaining why he initially trusted the former more. He discusses the impact of a large bettor named Theo on Polymarket's odds and addresses several objections to his argument. Scott concludes that while prediction markets are valuable, they can sometimes fail and require critical thinking. Shorter summary

Scott examines a new AI forecaster, discusses Polymarket's success, and reviews recent developments in prediction markets and forecasting. Longer summary

This post discusses recent developments in AI forecasting and prediction markets. It starts by examining FiveThirtyNine, a new AI forecaster claiming to be superintelligent, but finds its performance questionable. The post then briefly mentions r/MarkMyWords, a subreddit for bold predictions. It goes on to discuss Polymarket's recent success, particularly in betting on the 2024 US presidential election. The post concludes with a roundup of interesting prediction markets and forecasting-related news, including political betting controversies in the UK and updates on the Kalshi vs. CFTC legal battle. Shorter summary

Scott Alexander examines prediction markets suggesting that replacing Biden as the Democratic nominee could significantly improve the party's chances in the 2024 election. Longer summary

Scott Alexander analyzes prediction markets to assess whether replacing Joe Biden as the Democratic nominee would improve the party's chances in the 2024 election. He finds that replacing Biden with Kamala Harris would be neutral to slightly positive, while replacing him with Gavin Newsom or a generic Democrat could increase their odds of winning by 10-15 percentage points. Scott discusses potential objections to these findings, examines his own previous skepticism about Biden's cognitive decline, and reflects on the implications for Democratic party leadership and decision-making. 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 recent advances in AI forecasting, discusses the concept of 'rationality engines', reviews a study on AI risk predictions, and provides updates on various prediction markets. Longer summary

This post discusses recent developments in AI-powered forecasting and prediction markets. It covers two academic teams' work on AI forecasting systems, comparing their performance to human forecasters. The post then discusses the potential for developing 'rationality engines' that can answer non-forecasting questions. It also reviews a study on superforecasters' predictions about AI risk, and provides updates on various prediction markets including political events, cryptocurrency, and global conflicts. The post concludes with short links to related articles and developments in the field of forecasting. Shorter summary

Scott Alexander explores recent advancements in AI-powered prediction markets, including bot-based systems, AI forecasters, and their potential impact on future predictions and decision-making. Longer summary

This post discusses recent developments in prediction markets and AI forecasting. It covers Manifold's bot-based prediction markets, FutureSearch's AI forecasting system, Vitalik Buterin's thoughts on AI and crypto in prediction markets, a Manifold promotional event called 'Bet On Love', and various current market predictions on topics like AI capabilities and political events. The post also includes short links to related articles and forecasting resources. 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

The post discusses recent developments in prediction markets, including challenges in market design, updates to forecasting platforms, and current market predictions on various topics. Longer summary

This post covers several topics in prediction markets and forecasting. It starts by discussing the challenges of designing prediction markets for 'why' questions, using the OpenAI situation as an example. It then reviews the progress of Manifold's dating site, Manifold.love, after one month. The post also covers Metaculus' recent platform updates, including new scoring systems and leaderboards. Finally, it analyzes various current prediction markets, including geopolitical events, elections, and the TIME Person of the Year. Shorter summary

Scott Alexander reports on the Manifest prediction market conference, new developments in the field, and recent market activity on current events. Longer summary

Scott Alexander discusses the recent Manifest conference for prediction market enthusiasts, highlighting key issues such as regulatory challenges, potential applications in hiring, and the use of prediction markets in journalism. He also covers the launch of Manifold.love, a prediction market-based dating site, and analyzes recent prediction market activity on topics like the Gaza hospital explosion and various political events. The post concludes with updates on prediction market developments and related initiatives. Shorter summary

Scott Alexander reviews the results of the Impact Market Mini-Grants test run, discussing the top projects and lessons learned about this novel charitable funding method. Longer summary

Scott Alexander reports on the results of the Impact Market Mini-Grants, a novel way of running charitable grants where investors fund promising projects and grantmakers buy credit for successes. The test run involved 18 forecasting-related projects, with judges assessing their final value. Most projects lost money for investors, but a few were highly successful. Scott discusses the top five projects, including a rationality education program at the University of Maryland, a forecasting tournament, a tool for making Kelly-optimal bets, a paper on forecasting long-term impacts, and an ambitious impact assessment project in India. He reflects on the lessons learned from this experiment, noting both successes and challenges in implementing the impact market concept. Shorter summary

Scott Alexander analyzes recent developments in prediction markets, including the LK-99 superconductor hype, a forecasting tournament, and new prediction market concepts. Longer summary

This post discusses several topics related to prediction markets and forecasting. It begins with an analysis of the LK-99 superconductor prediction markets, suggesting they were overly optimistic due to media hype rather than expert opinion. The author then discusses the Salem/CSPI prediction market tournament, highlighting how the top performers used various strategies beyond just predictive accuracy. The post introduces the concept of prediction portfolios, which allow betting on broader trends rather than specific outcomes. It also mentions a new prediction market for flight delays called Wingman.WTF. Finally, the post reviews current political prediction markets and other forecasting-related news. Shorter summary

Scott Alexander presents a diverse collection of 38 links and news items, covering topics from book reviews and religious history to AI developments and political trends, with brief summaries and comments on each. Longer summary

This post is a collection of 38 diverse links and news items covering topics such as book reviews, religious history, economic forecasts, libertarianism, crime statistics, scientific studies, AI developments, educational policies, and political trends. Scott Alexander provides brief summaries or comments on each item, often with a mix of factual information and his own perspective. The links range from academic studies to social media posts, covering current events, historical anecdotes, and ongoing debates in various fields. Shorter summary

Scott Alexander discusses recent developments in prediction markets, including regulatory issues, new platforms, and current market probabilities on various topics. Longer summary

This post covers several topics in the world of forecasting and prediction markets. It starts with an update on Kalshi's request to the CFTC for permission to create prediction markets about upcoming elections, discussing the public comments received. The post then announces the Manifest 2023 conference on forecasting and prediction markets. It discusses prediction markets related to a potential room temperature superconductor discovery, and how these markets are being used to track the developing story. The post also covers PredictIt's legal battle with the CFTC, the use of forecasting technology in finance, new forecasting platforms like Fatebook and The Base Rate Times, and several current prediction market probabilities on various topics. It concludes with some short notes on recent developments in the forecasting world. Shorter summary

Scott Alexander discusses recent events in prediction markets, including a costly prank on Manifold, debt ceiling forecasts, a study on long-term predictions, and a high-profile hyperinflation bet. Longer summary

This post covers several topics in the world of prediction markets and forecasting. It begins with the story of a Manifold user who lost $29,000 in a prank market, leading to changes in Manifold's policies. It then discusses recent predictions about the US debt ceiling, a study on long-term forecasting accuracy, and a high-profile bet about hyperinflation between Balaji Srinivasan and James Medlock. The post ends with updates on other prediction markets, including ones about open-source AI and the ACX book review contest. 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 Alexander presents a comprehensive FAQ on prediction markets, arguing for their accuracy, canonicity, and potential to solve the 'crisis of trust' in society. Longer summary

This post is a comprehensive FAQ about prediction markets, explaining what they are, why they are believed to be accurate and canonical, addressing common objections, and describing clever uses for them. Scott Alexander presents prediction markets as a potential solution to the 'crisis of trust' in modern society, arguing that they can provide unbiased, accurate predictions on a wide range of issues. The post also covers the current status of prediction markets and suggests ways people can help promote them. 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

The post examines prediction markets for Trump's 2024 chances, Musk's Twitter deal, and the impact of the Dobbs decision, while also discussing new forecasting initiatives and other current events. Longer summary

This Mantic Monday post covers several current events and their related prediction markets. It starts with Trump's chances for the 2024 GOP nomination, which remain high despite recent scandals. The post then discusses the new Swift Centre for Applied Forecasting, funded by the Future Fund. It examines prediction markets for Elon Musk's Twitter deal, showing low chances of completion. The post analyzes the impact of the Dobbs decision on Democrats' Senate chances, noting a puzzling delay in market reactions. Finally, it covers various other forecasting topics, including COVID-19 ensemble models, the race to replace Boris Johnson, and predictions about the East African Federation. Shorter summary

Scott Alexander reviews recent predictions and forecasts on topics including monkeypox, the Ukraine war, AI development, and US politics. Longer summary

This Mantic Monday post covers several topics in prediction markets and forecasting, including monkeypox predictions, updates on the Ukraine-Russia war, AI development forecasts, Elon Musk's potential Twitter acquisition, and various political predictions. Scott discusses Metaculus predictions for monkeypox cases, analyzes forecasts for the Ukraine conflict, examines AI capability predictions in response to a bet between Elon Musk and Gary Marcus, and reviews predictions for US elections and other current events. The post also includes updates on prediction market platforms and recent articles about forecasting. Shorter summary

Scott Alexander reviews recent prediction market changes and defends the usefulness of prediction markets, focusing on Ukraine, Roe v. Wade, and other topics. Longer summary

Scott Alexander reviews recent changes in prediction markets related to the Ukraine war, the Supreme Court leak on Roe v. Wade, and other topics. He discusses the usefulness of prediction markets, arguing that their main advantage is not accuracy but trust, aggregation, and clarity. He also describes an experiment in market manipulation on Manifold Markets and its implications. The post concludes with a look at some interesting recent predictions on topics like dog cloning, anti-aging, and Chinese politics. Shorter summary