Polymarket investigates bets placed before New York Times/Siena poll releases
Large prediction market wagers placed shortly before two New York Times/Siena political polls become public are raising fresh questions about possible use of nonpublic information in election-related trading. The activity centers on Polymarket and also touches Kalshi, extending regulatory and compliance scrutiny across the prediction market sector.
Highlights
- A Polymarket user bet nearly $200,000 on Sen. Pete Ricketts winning re-election one hour before a favorable Times/Siena poll was released, profiting more than $77,000.
- Polymarket reported identifying and investigating the suspicious trades, while Kalshi declined comment on the user who also placed large wagers on its platform.
- The episode raises compliance concerns for prediction markets as trading on sensitive political information intensifies, highlighted by a separate $400,000 insider-trading case involving Polymarket.
Trading pattern around poll timing
As reported by Cointelegraph, citing The New York Times, Vanderbilt University researchers say a Polymarket user bet nearly $200,000 on Oct. 31 that Nebraska Senator Pete Ricketts would win re-election, about an hour before a Times/Siena poll is released showing him ahead. The report says it is not clear whether the user had access to inside information, but the trade generated more than $77,000 in profit.The same user also placed other large wagers in similar markets, including on Kalshi, according to the report. Brett Goldstein of the Vanderbilt Institute of National Security says the circumstances are difficult to dismiss as random and require further investigation.
Polymarket says it has identified the trades and is investigating. Kalshi declines to comment.
Compliance pressure on prediction markets
The case adds to broader concerns about whether traders can exploit sensitive information in fast-growing event-contract markets tied to politics and geopolitics. For crypto-linked platforms in particular, the episode highlights operational and surveillance risks as prediction products attract larger volumes and more mainstream attention.Cointelegraph reported in April that a U.S. Army soldier was charged after allegedly making more than $400,000 through prediction market bets based on nonpublic information linked to a U.S. operation involving then Venezuelan President Nicolás Maduro. In a statement, the Department of Justice alleges that Master Sergeant Gannon Ken Van Dyke took part in planning and executing Operation Absolute Resolve, which led to Maduro's capture at a residence in Caracas, Venezuela, in January, and then used that information to buy "yes" shares in related Polymarket contracts.
Republicans’ late-cycle surge in campaign advertising spending ahead of the November midterms highlighted how tightening polls were turning previously safe Senate and House races into costly battlegrounds. Our earlier article noted that Republicans ramped up outlays sharply in states such as Kansas, Florida and Texas, while high fuel costs and broader affordability pressures were influencing voter sentiment and forcing campaigns to reallocate resources.