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A Google Engineer Used Confidential Search Data to Win $1.2 Million on Polymarket, Feds Say — His Best Bet Involved an Alleged Killer

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Why This Matters

This case highlights the risks and ethical concerns surrounding the misuse of internal company data for personal gain, especially in the context of emerging online betting platforms. It underscores the importance for tech companies to strengthen data security and monitor insider threats to prevent fraud and maintain trust. For consumers, it serves as a reminder of the potential for misuse of sensitive information and the need for regulatory oversight in digital betting markets.

Key Takeaways

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People use betting sites like Polymarket and Kalshi to wager on everything from the World Cup to election results. But when you work at Google, using the company’s own search data to rig your bets is a serious no-no. That’s the alleged scheme that just landed one engineer in hot water with the Feds.

Michele Spagnuolo, a 36-year-old Google security engineer based in Switzerland, was charged Wednesday with commodities fraud, wire fraud and money laundering, according to the New York Post. Prosecutors allege he used internal Google search data to make a series of Polymarket bets between October and December that netted him more than $1.2 million. His most lucrative wager was a $381 bet on accused killer D4vd becoming Google’s most-searched person of 2025. At the time, Polymarket gave D4vd a near-zero probability of winning. Spagnuolo had allegedly accessed Google’s internal data just three hours before placing the bet.

The case is the second criminal insider-trading charge tied to Polymarket. In April, a U.S. soldier was charged with using classified information to win $400,000 betting on the timing of Venezuelan dictator Nicolás Maduro’s capture.