Feb 21 • 04:30 UTC 🇪🇸 Spain El País

Will Jesus Christ return? Will the US attack Iran? Do aliens exist? This is how the crazy (and lucrative) prediction betting business works

The article discusses the booming prediction betting market in the US, highlighting significant amounts wagered on political events and questions like the return of Jesus Christ and potential US military actions.

The article examines the emergence of the prediction betting market in the United States, which has gained traction since the repeal of a federal ban on sports betting in 2018. Various platforms like Polymarket and Kalshi allow users to place bets on a multitude of speculative questions, including those involving politics and even extraterrestrial life. The article notes that one of the most heavily wagered queries concerns the Democratic Party's nomination for the 2028 elections, concerning candidates like California's Governor Gavin Newsom and Congresswoman Alexandria Ocasio-Cortez.

As the prediction betting phenomenon flourishes, scrutiny grows around issues of insider information and potentially irregular practices. With records indicating over $678 million in bets placed on Polymarket alone, concerns arise not only about the ethics of such betting but also about the broader implications it may have within the realm of politics and public opinion. The support from the Trump Administration has further legitimized these platforms, pushing other investors to consider the opportunities within this market, despite the long-standing prohibition of sports betting in the country.

This complex intersection of gaming, politics, and social commentary raises questions about the future of prediction betting and its broader impact on how political decisions might be influenced by financial speculation. As these betting markets attract more attention, the conversation around accountability and transparency in such platforms becomes increasingly relevant, especially as they navigate between entertaining speculation and serious implications for real-world events.

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