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HomeNewsPolymarket Pulls Market on Missing US Service Member After Backlash

Polymarket Pulls Market on Missing US Service Member After Backlash

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Prediction market platform Polymarket removed a market speculating on the rescue of a missing U.S. service member after political backlash. The company stated the market violated its “integrity standards.” The incident has drawn scrutiny to the platform’s rules and fueled existing concerns about insider trading on prediction markets.


The prediction market platform Polymarket removed a market tied to a missing U.S. service member following mounting backlash. The company stated the listing violated its “integrity standards” and should not have been posted.

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The controversy began when a market appeared asking if U.S. authorities would confirm the rescue of a pilot reportedly shot down over Iran. Over 60% of users were reportedly betting the rescue would not be confirmed until Saturday.

U.S. Representative Seth Moulton condemned the market on social media, calling it “disgusting.” “They could be your neighbor, a friend, a family member. And people are betting on whether or not they’ll be saved,” Moulton wrote.

Polymarket responded by stating it took the market down immediately. The company said it is reviewing how the market passed internal safeguards but did not specify which rule was breached.

This lack of detail prompted further scrutiny from users. A correspondent questioned which specific prohibition was relevant, as mentioned online.

The platform has recently seen a sharp rise in fees and revenue after expanding its fee model. Daily fees reportedly jumped from about $360,000 to over $1 million following the change.

Separately, concerns about insider trading on prediction markets are growing. Last month, traders reportedly made about $1 million correctly betting on the timing of U.S. strikes on Iran.

Some trades were placed just hours before the attacks, raising suspicions. At least 42 Democratic lawmakers have since urged regulators to warn federal employees against using non-public information on such markets.

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