The White House Counsel’s Office investigated anonymous Polymarket accounts that placed over $600,000 on a U.S.-Iran ceasefire, and concluded it was “nearly impossible” to determine whether administration officials were behind the bets. That conclusion was not a surprise. It was the predictable outcome of a system in which anonymous accounts, underfunded regulators, and a Senate that only banned itself have combined to make insider trading on prediction markets the safest bet in Washington.

The tools exist. Blockchain analytics firms traced the proceeds of those anonymous bets to specific wallets — more than $600,000 paid out on the ceasefire announcement, on-chain, traceable. Kalshi’s own surveillance team flagged the account of Gabriel Perez, Trump’s teleprompter operator, when the platform detected unusual betting on “mention” markets involving the president that did not follow typical behavior, triggering a Commodity Futures Trading Commission investigation. The technology to trace, flag, and identify is available. What is missing is the institutional will to use it — and the structural incentive to do so.

The White House memo issued in late March telling staff they were prohibited from using nonpublic information for financial benefit was issued after the betting had already happened. It carries no audit mechanism, no mandatory account reporting, no financial escrow, no platform surveillance. It is cheap talk in the technical sense: a declaration with no commitment device behind it. The memo cannot deter a rational insider because it does not change the payoff for defection. The expected cost of betting through an anonymous account remains near zero.

The Senate’s April resolution banning senators and staff from betting on prediction markets is more revealing. It binds the upper chamber, not the executive branch. It is self-protection, not system-wide reform. The very staffers at the center of the scandal — those with access to the Iran ceasefire timing, the presidential speech content, the vice-presidential pick — remain outside the ban’s reach. Congress passed a resolution that protects its own members while leaving the executive branch’s information advantage untouched. The House Oversight Committee, under Chairman James Comer, has launched an investigation whose scope already includes suspicious betting activity related to U.S. and Israeli military operations in Iran, as well as U.S. actions in Venezuela including the capture of Nicolás Maduro, but congressional subpoena authority cannot substitute for detection infrastructure that does not exist.

The CFTC has hired a blockchain forensics specialist as its Chief Data Innovation Officer, bringing expertise from the SEC and FinCEN. But enforcement actions have dropped. The appointment signals ambition; the record shows inaction. The agency’s Innovation Task Force exists on paper, but its operational capacity to trace anonymous prediction-market accounts to identified bettors remains limited. The gap between leadership hires and enforcement capacity is the gap the Counsel’s Office called “nearly impossible” to bridge.

The cases themselves tell the story of an information economy that operates in plain sight. Gabriel Perez wagered over $100,000 on presidential speeches, was placed on unpaid leave, and is now under CFTC investigation — caught only because Kalshi’s own monitors flagged the account, not because any government agency detected the pattern. Rep. Anna Paulina Luna allegedly told associates at a Tampa members-only club that she had tipped off Rogan O’Handley, a popular MAGA influencer known as “DC Draino,” about Trump’s pending decision on his running mate so that O’Handley could place a winning bet on Polymarket; she teased him for not placing a bigger wager, according to a person familiar with the conversation. Both denied wrongdoing, and the congresswoman filed a counter-complaint alleging false reports. The CFTC is investigating the allegation; O’Handley said he was unaware of any federal investigation. A former investment banker, Mark Moran, placed a $900 bet on Vance after receiving a tip from Jake Denton, then a Heritage Foundation research associate, now a White House policy adviser, documenting the information chain in a text message: “I got a kid in the Heritage Foundation who has been leaking this to me, so went all in on Vance.” He made over $600 on the exchange. A White House official said Denton’s private comments about Vance were not based on insider knowledge.

The information economy that feeds these bets is not a glitch. It is Washington. Social clubs, cocktail bars, think-tank-to-White-House pipelines — these are the channels through which nonpublic information flows, and they are the channels through which prediction-market bets are placed. The insiders are not anonymous. They are a network of political operators who share information as social currency, and they know the system cannot catch them. The teleprompter operator’s wagers were traceable by platform monitors. The congresswoman’s tip was shared at a members-only club. The think-tank researcher’s leak was documented in a text message. The system can see the breadcrumbs. It simply cannot — or will not — follow them to the people who left them.

The enforcement structure is a game in which insiders know whether their bet is informed and enforcement does not. The detection lag means enforcement moves last, observing outcomes rather than the information that produced them. From the terminal node backward, the dominant strategy for any insider with nonpublic information is to place the bet through an anonymous account: expected payoff is positive, expected cost is near zero. The pooling outcome — informed and uninformed bettors looking identical from the outside — is stable under the current information structure. It shifts only if detection probability rises above zero, which requires platform cooperation or identity verification. The March memo adds nothing because it neither changes the payoff for defection nor provides enforcement with new information. The Senate resolution removes senators and their staff from the insider-betting pool, but it binds only the upper chamber, not the executive branch staff at the center of the scandal.

The wild card sits outside any enforcement scenario: a prediction market correctly forecasting a classified military operation — say, a strike on Iranian nuclear facilities — based on insider bets could trigger an emergency executive crackdown that bypasses the normal legislative trajectory entirely. That would render the regulatory debate moot overnight. But the scenario that would produce it — insiders with access to classified military information betting on platforms designed to hide their identities — is exactly the scenario the current enforcement gap makes possible.

Political betting on prediction markets has doubled in the first quarter of this year compared to the same period last year, reaching just over $4 billion. Election-related bets account for over $325 million. The platforms have made over 100 referrals to law enforcement. Kalshi has blocked dozens of campaign staffers from using the platform to bet on their own candidates. The expansion is accelerating. The enforcement gap is not closing. It is widening.

The only remedy that would actually close the gap is mandatory identity verification for prediction-market accounts tied to government employees, paired with a forensics unit funded to trace and prosecute. Everything else — memos, self-bans, investigations without funding — is theater. The government knows this. It has chosen not to do it. And until it does, the next big bet is already being placed.

Analytical techniques used in this piece

This analysis applies the methods below. Each links to a short, plain-English explainer you can read and reuse.

Scenario Planning
Builds a small set of distinct, plausible futures to plan against.
Stakeholder Mapping
Charts the parties to a situation — their interests, power, and alignments.
Strategic Interaction (Game Theory)
Models a situation as a game — players, moves, payoffs, and likely equilibria.