Spotify Removes No. 1 Song's Streams After Suspicious Kalshi Bets

Spotify pulled streams of a chart topping song after tracing a suspicious spike to bets on Kalshi, reviving questions about…

Prediction market manipulation became a music industry problem this week after Spotify pulled streams of Malcolm Todd's song "Earrings," a track that had shot to the top of its U.S. chart following a burst of activity the company says did not come from real listeners.

What Happened With the Song

"Earrings" jumped 70% in streams overnight on Sunday, enough to land it at number one on Spotify's U.S. chart. That kind of spike would normally be a win for an artist and their label. Instead it drew scrutiny once reporters at the Financial Times connected the surge to wagers placed on Kalshi, a prediction market platform where users can bet on real world outcomes, including chart performance.

By Wednesday, Spotify had removed the streams entirely. The company said it does not believe the plays reflected genuine listening behavior and confirmed it will not pay out royalties tied to them.

Spotify's Response

A Spotify spokesperson told CBS News that stream manipulation is a persistent challenge across the industry, not unique to this case. "All streaming services face ever changing stream manipulation," the spokesperson said, adding that Spotify uses what it considers leading detection and mitigation tools to catch and block payouts on manipulated streams.

Kalshi, for its part, said it is cooperating with Spotify. A company spokesperson told CBS News that Kalshi is "in touch with Spotify" and looking into what happened.

Prediction Markets Under a Brighter Spotlight

The episode lands amid broader unease about whether platforms like Kalshi and Polymarket have built in enough protection against manipulation or trading on information the public doesn't have. These markets let users bet on outcomes ranging from elections to entertainment metrics, and their rapid growth has outpaced questions about oversight.

A person checks a prediction market app on their smartphone while sitting on a couch.

Critics argue the structure of these markets creates an obvious incentive: anyone who can influence or predict an outcome, whether through inside knowledge or direct action, stands to profit from betting on it before the public catches on.

The Maduro Bet

This isn't the first episode to raise those questions. In January, a bet placed on the capture of Venezuelan leader Nicolás Maduro drew attention for its suspiciously good timing. A U.S. special forces soldier connected to the military operation that led to Maduro's capture was later charged with using classified information to place that wager. He has pleaded not guilty.

ConcernExampleStatus
Chart manipulation via betting"Earrings" streaming spike tied to Kalshi wagersStreams removed by Spotify, Kalshi investigating
Trading on nonpublic informationBet on Maduro's capture before it was publicSoldier charged, pleaded not guilty
Regulatory oversightPrediction markets funded by billions in venture capitalFalls under the CFTC's jurisdiction

Who Actually Polices These Markets

Oversight of prediction markets in the United States falls to the Commodity Futures Trading Commission, the federal agency tasked with regulating the space. These platforms have attracted billions of dollars in venture capital funding as betting on real world events has moved from a niche curiosity into a fast growing corner of finance and entertainment.

Can Regulators Keep Pace With These Platforms

What links the song controversy to the Maduro case is a simple question: can anyone reliably verify that a bet was placed on public information rather than an edge nobody else had? Spotify says its detection tools caught this instance quickly, but the incident, paired with January's case, suggests the CFTC and the platforms themselves still have work to do proving these markets are clean.