Geopolitics|$373.9k Vol|
103 days 5 hrsWill the Iranian regime survive U.S. military strikes? - AI Odds Analysis
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Outcomes
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Price
AI Fair
Value
Value
Edge
YesNo
AI Insights:
03.17 10:22 UpdatedFair Value Reasoning:
Given that Condition 1 (US military action) was met in June 2025, the market is effectively a wager on whether the regime can avoid collapse for the remaining 104 days (until June 30, 2026). While the price has retraced from 77.5c on March 11 to 73.5c, this appears to be a technical correction or profit-taking rather than a fundamental shift. Fundamentally, having survived 9 months post-strike with only 3.5 months remaining, the probability of sudden collapse is low absent total civil war or a new decapitation strike. The current price of 'No' (26.5c) implies a greater than 1-in-4 chance of collapse within 100 days, which significantly overestimates the risk relative to geopolitical inertia. As expiration approaches, time decay (Theta) will strongly favor 'Yes', putting fair value around 78c.
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Rule Risk
There is a semantic trap between 'Conditional' vs 'Conjunction' logic. The title implies a conditional question ('Would it survive IF attacked?'), but the rules require a conjunction: a US strike must occur AND the regime must survive for a 'Yes'. If no strike happens, or the regime falls before a strike, it resolves to 'No'. Betting 'No' thus covers the scenario of 'Peace/Status Quo', not just 'Regime Change'.
Hedging
Crude Oil
RTX
LMT
Gold
S&P 500
This event has extreme macro impact potential. If the condition for 'Yes' is triggered (US military strikes on Iranian soil), Crude Oil prices would skyrocket immediately due to supply fears in the Strait of Hormuz (Score 5). Gold would rally as a safe haven, defense stocks like Lockheed Martin (LMT) would benefit, while broad indices (S&P 500) would face risk-off selling pressure.
Divergence
The current market pricing implies a 26.5% probability of the Iranian regime falling within the next 100 days. This diverges from standard geopolitical analysis, which typically attributes high inertia (Status Quo Bias) to authoritarian regimes absent clear signs of active revolution. Without reports of an active civil war, the prediction market's high-risk pricing likely reflects excessive hedging against 'black swan' events rather than a probability based on the realistic likelihood of survival.
