A shocking Wisconsin primary forecast shows why prediction markets may be sold as precision tools when they’re really echo chambers. In this concise recap, Krystal Ball and Saagar Enjeti break down Kalshi and Polymarket’s humiliating miss, where Francesca Hong was given a 95% chance to win but David Crowley actually won. This summary condenses the full episode into just a few minutes, cutting through the noise on current events, politics, business, and misinformation. You’ll learn why prediction markets often mirror polling errors, how media partnerships like CNN and Kalshi can legitimize shaky forecasts, and why critics say these platforms are turning elections, sports betting, and even financial speculation into a dangerous blur. The episode also covers regulatory fights involving the New York Attorney General, the CFTC, and political conflicts of interest. Listen now to get the key ideas in minutes.

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