CNN's "knowable markets" exposé puts midterm insider risk in the spotlight
CNN's Friday piece (with the nonpartisan Anti-Corruption Data Collective) found super-specific "knowable" midterm markets — candidate withdrawals, endorsements, debate…
Midterm markets extend beyond election results
Prediction platforms are offering bets on political decisions that campaign insiders may know before the public does, raising questions about information advantages ahead of the midterms. According to CNN’s Friday report, an analysis by the nonpartisan Anti-Corruption Data Collective found that these narrowly defined markets have generated more than $20 million in trading volume.
Kalshi and Polymarket offer markets covering every Senate, House and governor’s race this year. Beyond election winners, the watchdog group found an average of 44 granular markets per race. Subjects include candidate withdrawals, endorsements, campaign stops by President Donald Trump, words spoken at political events, whether debates take place and which states redraw House districts. Michael Hornsby, the collective’s co-director, warned that such contracts can give prospective officeholders incentives to profit from privileged information.
Withdrawal trades draw scrutiny
The report highlighted a Kalshi market on whether Graham Platner would withdraw from the Maine Senate race. Platner secured the Democratic nomination in June. A few weeks later, an ex-girlfriend publicly accused him of rape, which he denied. His party support subsequently fell away, and he left the race within days, according to CNN.
Researchers identified dozens of potentially connected trades backing the previously unlikely prospect of his withdrawal, placed the night before and immediately before the accusation became public. Those patterns do not establish insider trading, and the trades may have been unrelated. A Democratic operative told CNN that word of a damaging forthcoming story had circulated at least one week earlier, leaving open the possibility that traders were responding to rumors.
Platforms cite enforcement measures
Both companies say they prohibit insider trading. Kalshi has suspended at least six 2026 candidates this year for wagering on their own races. Its head of enforcement, Bobby DeNault, told CNN that narrowly defined information could make some violations easier to establish. On Tuesday, Kalshi’s top lobbyist, John Bivona, said customer screening excludes people from markets whose outcomes they could influence, including candidates, campaign staffers, party officials, vendors, pollsters and election workers. Polymarket said it employs a former FBI official to lead investigations, uses surveillance tailored to political markets and regularly sends cases to the Justice Department for potential prosecution.
The risks have already produced an enforcement case: Trump’s White House teleprompter operator paid a $65,000 fine to settle a federal civil investigation after being caught trading on inside information in Kalshi markets tied to words in Trump’s speeches this summer, CNN reported. Federal law criminalizes trading on confidential, non-public information where a duty of confidentiality exists; liability can also extend to recipients of tips from someone bound by that duty.
The regulatory backdrop remains supportive of election markets. A federal appeals court rejected the Biden administration’s attempted ban in October 2024, and the Trump administration is finalizing regulations that would allow those markets to continue expanding, according to CNN. The network disclosed its own Kalshi partnership, while noting that its editorial employees cannot trade on prediction platforms and that its guidelines bar using data from markets where one person can determine the result.
What it means for prediction markets
- Contract design matters: A market on a private campaign decision presents different information risks from a broad election-outcome contract.
- Suspicious timing is not proof: The Platner trades warrant scrutiny, but the reported patterns do not establish wrongdoing or rule out rumor-driven activity.
- Platform rules and federal law differ: Kalshi says its restrictions exceed federal insider-trading requirements; legal liability depends on factors including confidentiality obligations.
- Enforcement is a central test: Candidate suspensions, surveillance and referrals are the platforms’ stated safeguards as increasingly specific political contracts attract trading volume.