Consider This from NPR
Consider This from NPR

Sep 5, 2026 · 9 min

Santos’s Kalshi bets expose prediction-market risks

Unraveling the story about George Santos' insider trading on Kalshi

The case shows how prediction markets can turn privileged political information into trades while amplifying concerns about election integrity.

3 key takeaways
  1. 1Bobby Allyn traced George Santos’s Kalshi bets after conversations with current and former company employees.
  2. 2Kalshi permanently banned Santos and fined him more than $70,000 over alleged insider trading tied to the State of the Union.
  3. 3As prediction markets enter mainstream election coverage, viral content and misleading news could influence political behavior and public trust.

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Bobby Allyn recounts Santos’s aggressive reaction and the decision to make his threats public.

The brief

Kalshi permanently banned George Santos and imposed a fine exceeding $70,000 after determining he engaged in insider trading on a bet about attending the State of the Union.

NPR technology correspondent Bobby Allyn explains how conversations with current and former Kalshi employees led him to investigate Santos’s trades and confront his response.

Santos reacted with an aggressive phone call and threats; Allyn discusses why the reporting made those threats public, alongside references to Santos’s federal convictions and commuted sentence.

The case raises a broader question: as prediction markets become mainstream around elections, could market incentives, viral posts and misleading news encourage political chaos or alter voter behavior?

Allyn argues that the Santos story matters beyond one former congressman because it tests how prediction markets handle privileged information before major elections.

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Santos’s Kalshi bets expose prediction-market risks | PodLume