Spotify Removes Over 500,000 Streams of Malcolm Todd’s ‘Earrings’ Amid Alleged Links to Betting Fraud

Spotify has purged over 500,000 artificial streams from Malcolm Todd’s track “Earrings” following investigations into potential chart manipulation. The platform’s intervention, which dropped the song from Number One to Number Four on its US daily chart, follows allegations that traders on the prediction market Kalshi exploited streaming data to profit.

The Mechanics of Chart Manipulation

The controversy centers on the intersection of algorithmic streaming services and unregulated prediction markets. Earlier this week, “Earrings,” a track from Todd’s 2024 mixtape Sweet Boy, experienced a sudden, mathematically improbable surge in play counts. This spike caught the attention of Kalshi trader Caleb Davies, who publicly questioned the legitimacy of the climb. Davies, who claims to have earned an estimated $1.2 million through prediction markets, suggested that rival traders likely deployed automated bot networks to inflate the track’s performance for financial gain.

Spotify confirmed to WIRED that it identified and mitigated instances of artificial streaming flagged by these market movements. While the platform acknowledged the removal of the 500,000 plays, it stopped short of confirming a direct causal link between the bot activity and the specific betting markets on Kalshi. Spokesperson Laura Batey noted that Spotify employs “best-in-class” detection systems to identify and suppress fraudulent plays, stating clearly that the company does not pay out royalties on streams verified as artificial.

Market Volatility and Institutional Oversight

The incident highlights the growing friction between digital music distribution and the emerging secondary market for predictive betting. While Kalshi users faced accusations of market manipulation, other platforms have distanced themselves from the fallout. Polymarket, for instance, explicitly denied the possibility of user profiteering in this instance, confirming that Malcolm Todd was not a listed option on its Spotify market. There is no suggestion that Todd or his team were involved in the artificial streaming.

The financial stakes of such manipulation are high, yet the legal path to addressing them remains complex. Last month, a US federal judge dismissed a proposed class-action lawsuit that accused Spotify of allowing “billions” of fraudulent streams to artificially inflate the visibility of high-profile artists like Drake. In that ruling, the court found insufficient evidence that the platform knowingly benefitted from, or failed to mitigate, the systemic presence of bot-driven play counts.

Precedent for Streaming Fraud

This event arrives as the music industry grapples with the fallout of the first major criminal case involving streaming fraud. In 2024, musician Michael Smith was arrested by the FBI and subsequently pleaded guilty to a sophisticated scheme involving AI-generated songs. Prosecutors alleged that Smith utilized automated bots to generate streams, resulting in the collection of $10 million. That case serves as a stark reminder of the legal consequences for those who attempt to circumvent the royalty distribution model.

The Future of Chart Integrity

As streaming platforms continue to refine their fraud-detection algorithms, the industry must prepare for a future where chart positions are increasingly scrutinized by both regulators and financial speculators. The ease with which a track can be pushed into the top tier of US charts raises questions about the long-term viability of these metrics as markers of genuine cultural impact. For labels and independent artists, the focus is shifting toward verifiable, human-led engagement rather than raw streaming numbers that remain vulnerable to exploitation.

The shift toward stricter oversight will likely necessitate closer partnerships between streaming giants and digital rights and forensic audit services to verify the authenticity of play counts in real-time. As the line between financial speculation and cultural consumption blurs, the burden of proof for chart success will only grow heavier, forcing stakeholders to invest more heavily in the integrity of their digital ecosystems.

Disclaimer: The views and cultural analyses presented in this article are for informational and entertainment purposes only. Information regarding legal disputes or financial data is based on available public records.