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How to Use Prediction Markets as a High Quality Info Source

Isar Bhattacharjee·March 30, 2026·Substack
prediction markets beat polls when the crowd has skin in the game

Why It's Worth Reading

Proposes a tiered framework for evaluating prediction market reliability, ranking financialized economic indicators highest and speculative prop bets lowest. Outlines three practical use cases: triangulating against traditional polls, nowcasting delayed economic data in real time, and hedging event risk. Draws on a Federal Reserve paper validating Kalshi's data quality and Tetlock's forecasting research to ground the argument.

Some technical background helpful

Concepts

Platforms mentioned: Kalshi, Polymarket

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