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Spotify has asked Kalshi and Polymarket to remove its branding from their platforms after uncovering users who artificially inflated song rankings to settle prediction market bets. The streaming service purged more than 500,000 fake streams that had lifted Malcolm Todd's "Earrings" up its charts, a metric that had already been used to settle a Kalshi market pulling roughly $3 million in trading volume.
Why it matters
Prediction markets now reach into datasets whose integrity rests on opaque behaviour by millions of users. A tradable chart rank is a clean settlement mechanism on paper, but charts can be gamed by coordinated streaming, and markets settle on the public number regardless of how it got there. Spotify is signalling that its rankings are no longer a free oracle for event contracts.
Market impact
The dispute tests whether event-contract venues can rely on third-party metrics that the third party itself disputes. Kalshi and Polymarket have both leaned on real-world data points, including sports, elections and entertainment rankings, to settle contracts. If platforms with manipulable inputs fight back on branding and integrity grounds, the settlement-design problem lands squarely on the market operators.
Frequently asked questions
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Why did Spotify ask Kalshi and Polymarket to remove its branding?
Spotify asked the prediction platforms to strip its branding after discovering users had manufactured hundreds of thousands of streams to lift a song's chart position, which had been used to settle a Kalshi market.
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Which song was caught up in the manipulated streams?
Malcolm Todd's "Earrings" was lifted up Spotify's charts by more than 500,000 fake streams that Spotify subsequently removed.
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How much money traded on the Kalshi market tied to the song's chart position?
The Kalshi market that settled on the chart data drew roughly $3 million in trading volume, according to Bloomberg.
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What is the broader problem this exposes for prediction markets?
Prediction markets increasingly settle on third-party data points such as charts, sports results and elections, and those inputs can be manipulated by coordinated behaviour regardless of how the market settles.
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Could other platforms respond the same way as Spotify?
Other data providers whose metrics are used to settle event contracts could demand similar brand removals or integrity assurances if they believe their datasets are being gamed.
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