Prediction markets nail Minnesota primary after Michigan miss
Prediction markets accurately forecast Minnesota's Democratic Senate primary, with Lt. Gov. Peggy Flanagan winning after trading at 72% on both Kalshi and Polymarket. The result followed a volatile Michigan primary where platforms posted 98-99% odds for Abdul El-Sayed that collapsed to a narrow victory. Republican Michele Tafoya also won her Senate nomination. Minnesota remains Likely Democratic for November, limiting general election trading interest. A late KSTP/SurveyUSA poll had shown challenger Angie Craig ahead by two points, but market pricing prevailed.
The Minnesota accuracy restores some credibility after the Michigan blowout, but the damage to trader confidence is not erased. Platforms need consistent political pricing to justify their CFTC-regulated venues against rivals. Journalists and campaigns increasingly cite these prices as forecasting signals, so repeated misses undermine that authority. The 72% Flanagan line avoided the 98-99% trap that burned traders in Michigan, yet the narrow poll gap shows markets can still misread voter behavior.
For Kalshi's midterms hub and Polymarket's political brand, November accuracy will determine whether 2026 volume is treated as predictive signal or reactive noise by the liquidity providers they are courting. Lopsided books remain dangerous: they concentrate conviction that can freeze on internet momentum while actual votes shift. Traders should treat political markets with thin books as sentiment snapshots, not tradable instruments with reliable edges.