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Tag: Virginia election

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Nov 01, 2021
acx
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23 min 3,428 words 314 comments 40 likes podcast (26 min)
Scott Alexander explores various applications and recent developments in prediction markets and forecasting, covering topics from election betting to teacher evaluation and social media moderation. Longer summary
Scott Alexander discusses several topics related to prediction markets and forecasting. He starts with the concept of a Keynesian beauty contest applied to long-term forecasting, then analyzes recent developments in PredictIt markets, particularly the Virginia gubernatorial election. He explores the idea of using prediction markets to evaluate teacher performance, and examines some recent Metaculus predictions on SpaceX valuation, college enrollment, and AI code assistance adoption. The post also covers Vitalik Buterin's proposal for using prediction markets in social media moderation, and concludes with various links to prediction market-related news and articles. Shorter summary
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