TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 12, 12:31 PM EST
Kalshi
This market tracks whether specific keywords will be mentioned during a House Committee on Veterans Affairs field hearing focused on technology modernization oversight. The hearing will feature witness testimony on topics relevant to veterans' services, including AI, healthcare programs, emergency services, transportation, rural access, the MISSION Act, insurance, accountability, major technology vendors, cybersecurity, and government efficiency initiatives.
Resolution is based on whether any participating witness speaking in an official capacity mentions specific terms during the House Committee on Veteran Affairs - Subcommittee on Technology Modernization Oversight Field Hearing. The exact phrase or word must be used; plural and possessive forms count, but other grammatical variations do not. Resolution uses video as the primary source, with official transcripts as backup if video consensus cannot be reached. The event must be live-broadcast or streamed and open to the press to qualify. Previously aired content, archival footage, or recordings from separate events do not count. Only statements made in an official capacity count; inaudible private conversations or unofficial statements do not qualify. If the event is canceled or fails to qualify, all markets resolve to No. If the event is postponed and rescheduled within 14 days, markets remain open.
Prediction market odds on Kalshi reflect real-money trader expectations about witness testimony, while traditional analyst forecasts rely on expert opinion and historical patterns. Markets aggregate dispersed information from many participants with financial incentives to be accurate, whereas analysts may focus on narrower datasets or institutional views. For this House Committee hearing, market odds may diverge from analyst predictions if traders have access to recent statements, leaked testimony, or shifting political dynamics. Comparing both sources provides a fuller picture of what witnesses are likely to say.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this event is priced based on the specific statements and testimony expected from witnesses during the House Committee on Veteran Affairs hearing. Traders buy and sell shares corresponding to different witness statements or testimony themes, with prices reflecting the probability assigned by the market. The platform's order book matches buyers and sellers in real time, and prices move as new information emerges or trader sentiment shifts. Resolution depends on what witnesses actually say during the hearing, making the market price a dynamic forecast of likely testimony.
This market resolves on Jun 13, 2026, following the House Committee on Veteran Affairs hearing. The outcome is determined by what witnesses actually say during the hearing. Traders should monitor the hearing date and any official committee announcements to understand when testimony will occur. Resolution will be based on the actual statements made by witnesses, so the hearing itself is the critical event that settles all market positions. Check for any schedule changes or postponements that could affect the resolution timeline.
Several catalysts could shift market odds before the hearing. Advance witness statements, leaked testimony, or public comments from committee members may signal what witnesses plan to say. Breaking news related to veteran affairs policy, recent legislative developments, or controversies could influence witness focus areas. Announcements about which witnesses will testify or changes to the hearing agenda would also move prices. Media coverage and political pressure campaigns targeting specific testimony outcomes can sway trader expectations. Finally, any postponements or schedule changes would create uncertainty and repricing across all outcomes.