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Challenges in the wisdom of crowds
Primary elections in Wisconsin and Michigan highlighted the discrepancy between prediction market forecasts and actual voter outcomes. Despite high confidence in progressive candidates like Francesca Hong and Abdul El-Sayed, real voters delivered narrow results, with Hong losing by a tight margin and El-Sayed winning with less than 49%. The races underscored the limitations of relying on partisan polls and prediction markets, especially in states with shifting voter sentiments and limited high-quality polling data.
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