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Francesca Hong was supposed to win the Democratic Party nomination for governor of Wisconsin by 20 points – she lost by 0.4%. The Polymarket trading showed Hong’s likelihood of winning was at 92%. Meanwhile, Abdul El-Sayed was supposed to win the Michigan Democratic Party nomination for U.S. Senate by 15 points—and he won by 1%.

Why were the “experts” so wrong?

Originally published on api.realclear.com, part of the BLOX Digital Content Exchange.

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