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Polymarket Trader Netted $77,000 Betting Before NYT Poll Release
A Polymarket user bet nearly $200,000 on Senator Pete Ricketts an hour before a Times/Siena poll landed, winning over $77,000. Polymarket is investigating.
Outputs
A Polymarket user bet nearly $200,000 on Oct. 31 that Senator Pete Ricketts would win; an hour later a Times/Siena poll showed him leading.
The trader won more than $77,000 and placed similar large bets on Kalshi, per a New York Times report.
Polymarket said it spotted the trades and is investigating; Kalshi declined comment.
In April, the DOJ charged Master Sgt. Gannon Ken Van Dyke over $400,000 in Polymarket profits allegedly tied to nonpublic information about Operation Absolute Resolve.
A Polymarket user bet almost $200,000 on October 31 that Nebraska Senator Pete Ricketts would be re-elected — and an hour later, a New York Times/Siena poll showed Ricketts in the lead. The user collected more than $77,000 in winnings, according to a Friday New York Times report citing researchers at Vanderbilt University.
The timing is the issue. Researchers at the Vanderbilt Institute of National Security said the same account placed similar large bets on other markets, including Kalshi, shortly before a second recent Times/Siena poll was released. It is not yet clear whether the trader had access to inside information about the polls before publication.
What does this change for prediction markets?
It puts the exchanges' integrity safeguards under a spotlight. Polymarket said it had spotted the trades and was investigating. Kalshi declined to comment.
"There's a series of circumstances here that it's hard to write it off as a random occurrence," said Brett Goldstein of the Vanderbilt Institute of National Security. It "requires further investigation," he said.
The episode lands at an awkward moment for the sector. Polymarket and Kalshi have both pushed deeper into US political and event contracts, courting mainstream attention and regulatory goodwill. Trading that appears to front-run embargoed poll data cuts against the pitch that these markets aggregate public information efficiently. If traders can monetize nonpublic data before it reaches the public, the price signal stops being a forecast and starts being a leak.
This is not the first case
The pattern has already drawn federal attention in a more serious form. In April, Cointelegraph reported that US Army Master Sergeant Gannon Ken Van Dyke was charged after making more than $400,000 on prediction markets, allegedly using nonpublic information tied to a US military operation.
According to a Department of Justice statement, Van Dyke was involved in planning and executing Operation Absolute Resolve, which led to the capture of then Venezuelan President Nicolás Maduro at a residence in Caracas, Venezuela, in January. The DOJ alleges Van Dyke used that knowledge to buy "yes" shares in related Polymarket contracts, including "Maduro out by January 31" and "Trump invokes War Powers against Venezuela by January 31."
That case established that trading on nonpublic information in event markets can carry criminal exposure. The Ricketts trades, by contrast, remain unproven — no one has accused the account of a crime, and the NYT report notes it is unclear whether the user held any privileged access.
Still, the optics matter for market structure. Polling organizations, exchanges and regulators now share an obvious question: how embargoed survey data moves from research firms to publication, and who can see it along the way. Polymarket has opened an investigation. Whether that inquiry produces an explanation, and whether Kalshi follows with its own disclosure, will shape how seriously the industry treats information hygiene going forward.
via nytimes.com (Original)
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Senior reporter covering money, funding and market shifts around crypto and web3 industry at Mempool Brief.
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