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Notably, ethics concerns may have played a critical factor in the rejection of the bill. Lawmakers from both sides did not feel that an updated version of the text released on Sunday went far enough in addressing concerns related to senior officials maintaining or endorsing crypto business ties. However, a group of Republicans claimed they made a series of concessions when US President Donald Trump agreed to modifications on Sunday night that contained stronger ethics measures, the Associated Press reported. The 11th hour concessions were not enough to appease potential swing voters among Senate Democrats.
“This legislation failed squarely because Republicans refuse to say no to the president,” Arizona Senator Ruben Gallego said in a statement. “It takes 60 votes to pass a bill, and instead of spending their time twisting themselves into knots to appease President Trump, Republicans should have worked more closely with Senate Democrats to craft a bill that could pass with strong ethics provisions.”
Wyoming Senator Cynthia Lummis, the leading negotiator for Republicans, berated her Democratic colleagues in a statement, saying they “played games” and “were never truly serious about protecting consumers”.
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Prediction markets have become more and more intertwined with sports and entertainment businesses. Polymarket has agreements with Major League Baseball and Sportsradar. Sportsradar provides data and services for more than 20 sports leagues and competitions.
The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services.
The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur.
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Sahil Patel, founder of competitive intelligence provider Aldrin AI, said those relationships help explain Kalshi’s position.
“A lot of market makers want to go where there’s liquidity,” he said, adding that platform stability and Kalshi’s investment in the financial side of its market-maker relationships were also important. “I think Kalshi is a freight train that’s just kind of running away with it.”
Aldrin monitors product changes, advertising, social media activity, app-store rankings and trading volume across prediction market operators. Patel said the objective is to connect those indicators and show how a product launch supported by advertising affects volume and market share.
