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Prediction markets’ reputation comes back to earth after surprise result in Wisconsin

Kalshi and Polymarket gave Francesca Hong roughly a 95% chance of winning on the eve of the primary, before David Crowley’s upset.

Prediction markets’ reputation comes back to earth after surprise result in Wisconsin

In a surprising turn of events, Francesca Hong, a progressive candidate in Wisconsin's Democratic primary, lost to David Crowley by less than half a percentage point. Prediction market platforms Polymarket and Kalshi, which had gained a reputation for accurate forecasts, assigned Hong a 95% chance of winning the primary, despite her lack of endorsements from prominent Democratic socialists.

Kalshi CEO Tarek Mansour acknowledged that the 95% probability still represented a low-probability outcome, but one that the market had explicitly accounted for. This result has raised questions about the reliability of prediction markets, with some arguing that they are not infallible substitutes for traditional polls. Statistician and political forecaster Nate Silver emphasized that prediction markets should be seen as forecasting tools, not crystal balls.

Written by urgent.news from Fortune's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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