George Santos Probed for Betting on Himself on Kalshi

Does this reinforce the need for more regulation of prediction markets or are self-policing platforms already handling the bad actors?
George Santos Probed for Betting on Himself on Kalshi
Above: George Santos in New York City on April 25, 2025. Image credit: Yuki Iwamura/Bloomberg/Getty Images

The Facts

  • The U.S. Department of Justice (DOJ) and the Commodity Futures Trading Commission (CFTC) have opened investigations into former U.S. Rep. George Santos over trades placed on prediction market Kalshi tied to his attendance at President Donald Trump's Feb. 24 State of the Union address.
  • Kalshi detected suspicious trades by Santos, froze his account and referred the matter to federal authorities. Sources familiar with the trades this week told NPR that Santos allegedly bet against his own attendance, profiting "tens of thousands of dollars."
  • The day before the address, Santos posted a video on X saying, "I'm going to be there for the State of Union in the gallery, guys," but did not attend. During the speech, he posted that watching from an airport TV "was not part of the plan."

Sources Split


The Spin


Narrative A

Prediction markets are generating insider trading scandals faster than regulators can handle them and this is just one of at least three major cases that have come to the public's attention. These markets serve no real public utility beyond speculation, yet they're forcing the DOJ and CFTC to burn resources chasing down bad actors. More regulation isn't optional anymore.

Narrative B

Prediction markets already have serious enforcement infrastructure in place, using AI surveillance and blockchain forensics. This proves that the system works. Kalshi enforces insider trading rules and deters violations. Regulated platforms are doing the job, and the cases drawing scrutiny largely stem from offshore, unregulated markets, not the compliant ones.



The Controversies



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© 2026 Improve the News Foundation.

All rights reserved.

Version 7.17.1