Markets
Price History
Structural Analysis
AI-generatedThis is a binary legislative outcome priced as a longshot, and Kalshi longshots are statistically brutal — contracts under 10 cents lose over 60% of capital on average (Burgi et al.). The `kalshi_flb_warning` flag is active here, meaning the market is likely exhibiting the classic favorite-longshot bias: retail participants cognitively overweight small probabilities (prospect theory), inflating the price of unlikely outcomes like landmark legislation passing a divided Congress. The smart money fades this bias by selling overpriced longshots, not buying them.
ResolutionThe resolution criteria are unusually clean — H.R. 22 must be signed into law before Jan 4, 2027, with congressional records as the oracle. The one non-obvious trap is the difference between 'passed' and 'enacted': the bill could pass both chambers and still fail to become law if unsigned or vetoed, and pocket vetoes near session end could create a brief ambiguity window about whether the President 'received' the bill in time.
CalibrationLong-dated political contracts on Kalshi show the strongest underconfidence bias — meaning markets systematically compress true probabilities toward 50%. But here the risk runs the other direction: a very-low-probability outcome like this is more likely *overpriced* due to longshot bias, not underpriced. Research shows large Kalshi trades amplify political mispricing, so if you see a sudden price spike driven by size, that's more likely noise amplification than informed flow.