Spotify has sent formal notices to the prediction-market platforms Kalshi and Polymarket, demanding they remove its logo and make clear that neither company has any partnership with the streaming service after it identified users manipulating its chart rankings to profit from bets placed on those very rankings.
A demand, and a design flaw
According to a Bloomberg report, the notices, sent on July 2, are more than a branding dispute. They mark the first open friction between the fast-growing prediction market industry and the platforms whose data it has quietly turned into betting lines, and they expose a structural flaw that goes to the heart of how these markets work.
Prediction markets let users stake real money on measurable outcomes: which candidate wins an election, which company reports higher earnings, which song tops a chart. Elections and sporting results are public, refereed, and hard for any single bettor to move.
A Spotify stream count is none of those things. It is a private metric that one company controls; it is cheap to inflate with bots and playlist stuffing, and it is visible on a public chart in near real time. That combination creates a perverse incentive that Spotify’s action lays bare: a trader holding a large enough position on a song reaching number one has a direct financial reason to make it happen, and the potential winnings can dwarf the cost of buying the fake streams—by some estimates as much as twentyfold. When the thing being bet on can simply be purchased, the bet stops being a prediction and becomes a purchase order.
Spotify, for its part, framed the problem as chronic rather than novel. “All streaming services face ever-changing stream manipulation,” the company said in a statement, adding that it has “best-in-class detection and mitigation practices for manipulated streams, and we don’t pay out associated royalties.”
It said it would begin applying additional checks to its charts before they are published — an acknowledgment of the vulnerability, if not yet a fix for it. By demanding that Kalshi and Polymarket disavow any association, Spotify is signaling it views the manipulation as a systemic conflict between its platform and an industry it never agreed to underwrite, not a one-off incident.
How the “Earrings” scheme worked
The specifics are concrete enough to reconstruct. The song at the center is “Earrings” by Malcolm Todd, one of the industry’s fastest-rising acts, whose track has hovered in the top five of Spotify’s daily U.S. chart for weeks, making it a ripe target. On Sunday it sat at number four; by Monday, June 29, it had vaulted to number one for the first time, a single-day surge of roughly 70%.
That leap did not go unnoticed. A Kalshi trader publicly flagged the anomaly, describing the jump in statistical terms as an “11.24 sigma” event—the kind of deviation that effectively never occurs by chance—and said he had lost around $4,500 when the suspicious activity altered a market’s outcome.
Spotify investigated and removed more than 500,000 streams it determined had been generated by bots, and it confirmed it would not pay royalties on them. There is no suggestion that Todd or his team had any involvement in the manipulation; the incentive sat with the bettors, not the artist.
The most damaging detail for the prediction markets is one of timing. Before Spotify completed its investigation, the inflated figures had already been used to settle a Kalshi market on the most-streamed Spotify song in the United States in June — a contract that had drawn about $3 million in trading volume.
Kalshi had already paid out bettors based on those flawed numbers. In other words, the manipulation did not merely distort a market; it resolved one, moving real money into winners’ accounts on the strength of data that was subsequently invalidated at the source. A Kalshi spokesperson said only that the company is “in touch with Spotify and actively investigating this matter.”
Betting on everything
The episode arrives at a moment when prediction markets are racing to attach themselves to as much of public life as possible, and music charts are among the softest targets they have chosen.
Kalshi, a platform regulated by the Commodity Futures Trading Commission (CFTC), currently lists dozens of contracts tied to Spotify and Billboard chart results, and its co-founder said earlier this year that trading on music contracts had already topped $400 million in 2026. Those are not fringe markets; they are a deliberate expansion into entertainment as a new asset class of outcomes.
That expansion has been broad and fast. Polymarket, the crypto-native market that settles wagers in stablecoins, struck a partnership with the Golden Globes earlier this year, while Kalshi has cut deals with the likes of CNN, CNBC, and Fox News, embedding prediction odds into mainstream media coverage.
The integrity risks were already visible before this week: earlier in 2026, an editor for the YouTube star MrBeast was accused of insider trading over Kalshi markets tied to the creator’s videos. The pattern is consistent: each time a market is built on a private or manipulable metric, it creates both an incentive and an opportunity to game the underlying number.
The music case is simply the clearest illustration yet, because the manipulation is so cheap and the data so controllable. It also lands amid an already contentious period for the sector, which The Crypto Times has tracked through the escalating legal battles between prediction markets and state regulators over whether these contracts amount to unlicensed gambling. Spotify’s logo demand adds a different kind of adversary to that fight: not a regulator or a rival, but a data owner that wants no part of having its numbers laundered into a wagering product.
The questions left open
For now, more is unresolved than settled. Kalshi has not said what its investigation covers, how far it extends, or whether it will attempt to claw back or reissue the payouts made on the tainted market — a thorny question, since bettors who won on manipulated data are unlikely to surrender their proceeds voluntarily.
Spotify has not detailed what its “additional checks” will involve or whether they can meaningfully deter a determined bot operation. And neither platform has explained how it intends to keep listing chart contracts at all, given that the vulnerability is inherent to betting on a number a third party controls and a bad actor can move.
The broader tension will outlast this one song. As prediction markets continue to convert real-world metrics into tradable outcomes, they inherit the integrity of whatever they choose to measure — and when that measure is a stream count rather than a vote count, the market is only as honest as the data behind it.
Spotify has now made explicit what the industry’s expansion had left unspoken: not every number was built to be bet on, and some of the entities that own those numbers would rather not be part of the game. How Kalshi and Polymarket answer that challenge, on a market comparison readers can weigh across the major platforms, will shape how far prediction markets can push into culture before the culture pushes back.
Also Read: US Users Pour $571M Into Polymarket’s Political Markets Despite Geo-Block
