Ban members of Congress and government employees from trading on political prediction markets when they have or could easily obtain inside information through their jobs.

Chris Pappas · New Hampshire · Democratic

policy impact 7.00 specificity 8.00 extraction confidence 98%

Contest this claim

Occurrences

Pappas supports the Public Integrity in Financial Prediction Markets Act of 2026, which bans members of Congress and government employees from trading on political prediction markets when they have or could easily get inside information through their jobs.

Pappas expressed support for legislation that would prohibit lawmakers and government employees from trading on political prediction markets when they have access to inside information.

Pappas Calls for U.S. House to Subpoena Prediction Markets, Fully Investigate Corruption and Insider Trading | Congressman Chris Pappas
primary · press_release · model gpt-5.4-mini

Pappas Calls for U.S. House to Subpoena Prediction Markets, Fully Investigate Corruption and Insider Trading

Pappas called for the House to investigate corruption and insider trading in online prediction markets by subpoenaing internal records.

Congressman Chris Pappas |
primary · press_release · model gpt-5.4-mini

Pappas supports the Public Integrity in Financial Prediction Markets Act of 2026, which bans members of Congress and government employees from trading on political prediction markets when they have or could easily get inside information through their jobs.

Pappas backs legislation to ban congressional and executive-branch insiders from trading on political prediction markets using information obtained through their jobs.

After Pappas Calls for U.S. House to Subpoena Prediction Markets, Comer Confirms Investigation in Progress, Subpoenas May Follow | Congressman Chris Pappas
primary · press_release · model gpt-5.4-mini

Evidence

"Pappas supports the Public Integrity in Financial Prediction Markets Act of 2026, which bans members of Congress and government employees from trading on political prediction markets when they have or could easily get inside information through their jobs." He also called on House Oversight to open an investigation and subpoena internal records from prediction markets.

Direct support for the proposed ban and concrete advocacy for oversight action, but not enactment.

partial unknown A for effort

Pappas Calls for U.S. House to Subpoena Prediction Markets, Fully Investigate Corruption and Insider Trading | Congressman Chris Pappas
primary · model gpt-5.4-mini · confidence 0%

Contest this evidence item

The committee said it was opening an investigation into how users of Polymarket and Kalshi may be using nonpublic information to engage in insider trading, and requested documents and information to assess identity verification, geographic restrictions, and suspicious-trading detection.

Official committee action shows the issue is under investigation, but it does not itself establish the requested statutory ban.

partial unknown A for effort

Comer Launches Investigation Into Insider Trading on Prediction Market Platforms - United States House Committee on Oversight and Government Reform
secondary · model gpt-5.4-mini · confidence 0%

Contest this evidence item

The committee wrote that it was examining prediction-market use for insider trading and asked Polymarket for records on KYC, suspicious-trading monitoring, suspicious event contracts involving U.S./Israeli military operations in Iran, and event contracts tied to Operation Absolute Resolve.

Concrete congressional oversight step related to suspected insider trading on prediction markets; still not a law banning trading by officials.

partial unknown A for effort

Polymarket Prediction Markets Letter
secondary · model gpt-5.4-mini · confidence 0%

Contest this evidence item

The bill is titled the "Public Integrity in Financial Prediction Markets Act of 2026." Congress.gov shows it was introduced on 01/09/2026 and referred to the Committee on Oversight and Government Reform and the Committee on House Administration; the tracker status is "Introduced."

This is the underlying legislative vehicle for the claim, but it has not advanced beyond introduction as of the available record.

unresolved same_term A for effort

H.R.7004 - 119th Congress (2025-2026): Public Integrity in Financial Prediction Markets Act of 2026
secondary · model gpt-5.4-mini · confidence 0%

Contest this evidence item

The bill history shows the measure was introduced by Rep. Torres on 01/09/2026 and referred to committee; no later legislative action is shown in the history excerpt.

Confirms the bill remained at the referral stage, with no passage or enactment shown.

unresolved same_term

H.R.7004 - 119th Congress (2025-2026): Public Integrity in Financial Prediction Markets Act of 2026 | History
secondary · model gpt-5.4-mini · confidence 0%

Contest this evidence item

The actions page lists the latest action as referral to the Committee on Oversight and Government Reform and the Committee on House Administration on 01/09/2026.

No committee markup, House vote, Senate action, or enactment is reflected in the action log.

unresolved same_term

Actions - H.R.7004 - 119th Congress (2025-2026): Public Integrity in Financial Prediction Markets Act of 2026
secondary · model gpt-5.4-mini · confidence 0%

Contest this evidence item

Assessments

never same_term A for effort

Pappas supported the proposed Public Integrity in Financial Prediction Markets Act of 2026 and pushed related oversight and investigation steps, which shows a serious effort toward the promised ban. But the available legislative record shows the bill was only introduced and referred to committee, with no markup, floor passage, Senate action, or enactment. Oversight letters and investigations into prediction-market insider trading are related but do not fulfill the specific promise to ban members of Congress and government employees from such trading. Because there was a meaningful attempt but no delivered policy outcome, this is best scored as never, with effort credit.

provider openai · model gpt-5.4 · confidence 95%