In a development that underscores the growing intersection of digital streaming and speculative finance, Spotify has confirmed instances of artificial streaming after a prominent trader on the prediction platform Kalshi flagged suspicious activity. Caleb Davies, a Minneapolis-based IT professional who has amassed over $1.2 million in prediction market winnings, noticed an improbable surge in streams for the song “Earrings” by Malcolm Todd. The track vaulted to the top of a Spotify chart despite being unlisted as a betting option on Polymarket, prompting Davies to investigate what he described as an "11.24 sigma event"—a statistical anomaly so rare it would occur roughly once in 77 octillion random trials. His analysis pointed to coordinated bot networks artificially inflating play counts, a practice known as “botting” that has long plagued streaming platforms.
Davies’ concerns, which he published on X and shared directly with Spotify, Kalshi, and Polymarket, led to an internal review by Spotify. The company confirmed to WIRED that its detection systems identified manipulated streams tied to the incidents Davies reported. Spotify spokesperson Laura Batey stated, “All streaming services face ever-changing stream manipulation. Spotify has best-in-class detection and mitigation practices for manipulated streams, and we don’t pay out associated royalties.” However, Spotify did not confirm whether the manipulation was directly linked to prediction market schemes, leaving Davies’ theory—that traders were botting charts to influence the outcome of event contracts—unsubstantiated by the company.
The broader context here is the rapid expansion of prediction markets into cultural domains, where contracts on music chart positions, movie box office results, and sports outcomes attract speculators wielding big data. Kalshi, which operates under U.S. Commodity Futures Trading Commission oversight, has become a hub for such wagers, with Davies alone winning $414,000 from its culture markets. Yet the incident reveals a vulnerability: when streaming data becomes the basis for financial bets, the incentive to manipulate that data skyrockets. Unlike traditional financial markets, where regulatory safeguards like insider trading laws exist, prediction markets on streaming charts rely on platform integrity that can be compromised by cheap bot farms.
Spotify ultimately removed over 500,000 artificial streams from Malcolm Todd’s “Earrings,” dropping the song from first to fourth place on the chart. But the adjustment came too late for Kalshi, which had already resolved the market in favor of traders who bet on Todd’s song. Davies, who has sworn off Spotify-related markets until the issue is resolved, argues that this creates a perverse feedback loop: manipulators can profit before platforms correct the data. For now, the incident highlights a regulatory blind spot, as neither prediction market operators nor streaming services have clear protocols for handling disputes over chart manipulation tied to financial contracts. As Davies told WIRED, “Every single morning, I’m going in, downloading the data, and updating my projections. But if the data is being gamed, my projections are worthless.”