Spotify confirms streaming fraud after prediction market trader flags suspicious chart surge

A Kalshi trader, Caleb Davies, publicly alleged that artificial streams were used to manipulate a Spotify chart, citing a 11.24 sigma event—roughly a 1 in 77 octillion chance of occurring randomly—as evidence of botting. Davies, who routinely analyzes Spotify data to inform his prediction market wagers, contacted Spotify, Kalshi, and Polymarket with his concerns after observing the unusual surge.

Spotify confirmed to WIRED that it investigated incidents flagged by Davies and found evidence of artificial streaming. The company stated it employs detection and mitigation practices for manipulated streams and does not pay out royalties associated with them, though it did not specify the source or motivation behind the manipulation. Spotify later adjusted its charts to account for discrepancies, removing over 500,000 artificial streams, which caused the song in question to drop from first to fourth place.

Kalshi acknowledged the issue in a statement, saying it is "in touch with Spotify and is actively investigating this matter." The company also removed Spotify’s logo from markets related to the company and adjusted language that previously suggested Spotify had verified chart results, following a request from Spotify.

Polymarket, another prediction market platform, stated it did not list the song in question as an option for its Spotify-related market, contradicting Kalshi’s theory that traders were botting the charts to influence market outcomes. Polymarket confirmed it is reviewing the broader streaming manipulation situation but has not identified immediate evidence of manipulation.

The trader behind the allegations, Davies, announced he would no longer participate in chart-based prediction markets, citing concerns about the integrity of the data. The incident underscores the susceptibility of prediction markets to manipulation when tied to real-world metrics, with experts noting that such markets may not meet the standard of being "not readily susceptible to manipulation" as required by regulatory frameworks.