Researchers from the nonprofit Anti Corruption Data Collective have identified more than 150 wallets on the Polymarket International platform that appear to have placed highly successful bets tied to U.S. military and defense outcomes. The findings, first reported by Reuters on August 20 2026, suggest these accounts may have traded on nonpublic information and highlight growing worries that prediction markets could turn into a vector for national security risks. The group examined all settled markets on the platform through May 5 2026.
They focused on long shot wagers defined as bets of at least 2500 dollars placed within an hour on outcomes carrying a probability of 35 percent or lower. Within that set they spotted 556 wallets they nicknamed Orcas after the precise hunting style of killer whales. These accounts often appeared briefly placed a winning long shot bet in niche markets and then frequently cashed out and vanished. Of those Orcas 152 concentrated on military and defense markets.
Together they generated about 8 million dollars in profits and posted an average win rate of 97.2 percent. Researchers say these patterns make the wallets among the most likely to have benefited from inside military knowledge although blockchain data alone cannot prove the identity of the account holders or the exact source of any information. The activity did not stay isolated. Some of the successful military bets drew rapid copycat wagers from larger traders and automated bots.
Before U.S. strikes linked to Iran in 2025 one Orca position was followed by a 200000 dollar bot wager and a 100000 dollar bet from a major trader. Similar patterns appeared ahead of other U.S. and Israeli related actions. Because every trade on Polymarket is publicly visible on the blockchain the unusual signals become easy for anyone including foreign intelligence services to observe and potentially exploit. This latest analysis builds on earlier concerns.
In April 2026 U.S. Army Special Forces Master Sergeant Gannon Ken Van Dyke was charged with using classified information to place bets on the removal of Venezuelan President Nicolas Maduro. Prosecutors alleged he netted more than 400000 dollars. Van Dyke has pleaded not guilty.
Lawmakers have already warned that such trading can harm national security by revealing operational details or intentions through market movements. Prediction markets like Polymarket allow users to wager on real world events ranging from elections to military developments. Supporters argue the platforms aggregate dispersed knowledge and produce useful probability estimates. Critics point out that when the events involve classified military planning the same transparency that makes the markets efficient also makes them dangerous.
A well timed bet by someone with access to nonpublic details can serve as an open signal that adversaries can monitor in real time. The Anti Corruption Data Collective acknowledges that pure luck or sophisticated public analysis could explain some of the Orca results. Not every potential insider fits the Orca profile either. Still the extreme win rates on low probability military contracts stand out sharply against baseline performance across the platform.
Earlier work by the same group found that long shot bets in military markets succeeded far more often than comparable bets in political markets. Platform operators say they already monitor for suspicious activity. Polymarket has stated that it maintains strict controls and has referred dozens of wallets to authorities. Yet the sheer volume of anonymous blockchain activity and the ease of creating new accounts limit how thoroughly any single company can police the space.
Researchers argue that simple identity checks will not solve the problem because the core issue is the existence of markets where nonpublic government information carries outsized value. Policymakers are taking notice. Scrutiny of the prediction market industry has intensified after high profile cases and unusual pre action betting spikes. Some lawmakers have floated restrictions on certain categories of contracts especially those tied to active military operations or classified intelligence.
Others call for stronger cooperation between platforms and national security agencies so that anomalous trading patterns can trigger rapid investigation. The broader tension is clear. Prediction markets thrive on information flow. National security depends on controlling the flow of sensitive operational details.
When the two collide the public ledger of bets can effectively broadcast hints about upcoming actions to anyone watching. Foreign adversaries do not need to recruit traditional spies if they can simply watch blockchain wallets that consistently guess correctly about U.S. military timing and targets. For ordinary traders the presence of possible insiders distorts the odds and transfers wealth from those relying on public information to those with privileged access. For governments the risk is operational security.
A cluster of large successful bets placed hours before a strike can tip off targets or reveal planning assumptions. Even if the original bettors intended only personal profit the secondary signals they create can still damage U.S. interests. The Anti Corruption Data Collective report does not claim definitive proof that every flagged wallet used classified material. It does present a data driven case that the patterns are difficult to explain without some form of informational advantage.
As prediction markets continue to grow in volume and visibility the national security implications will only become harder to ignore. Regulators platforms and military officials now face the challenge of preserving the useful aspects of these markets while closing the pathways that turn them into unintentional intelligence leaks. Whether through tighter market design stronger enforcement or outright limits on certain contracts the conversation has shifted.
What began as a novel way to forecast events has become a potential national security problem that demands careful attention from both the private sector and government.
