Sethi on “Betting on Geopolitical Violence”

2026-02-11 · Source: Statistical Modeling, Causal Inference, and Social Science · Field: Government & Public Sector — Public Policy & Governance, Public Safety & Security, Regulatory & Compliance · Depth: Intermediate, quick

Summary

Rajiv Sethi's analysis revisits a 2003 Pentagon proposal by Admiral John M. Poindexter for an online futures market to predict terrorist attacks, assassinations, and coups, which was swiftly scrapped due to bipartisan resistance and ethical concerns. Sethi argues that the emergence of such markets was inevitable, pointing to current crypto-based prediction platforms like Polymarket. Millions are now being wagered on geopolitical events, including potential US military action against Iran, coup attempts, cyberattacks, and strikes on Israel's Dimonah nuclear base. These markets, operating without "know-your-client" requirements, enable insiders with access to closely-held information to profit without exposure. Evidence suggests insiders have traded ahead of at least three military strikes, with one account profiting $134,000 before Israel's June 13 attack on Iran. Sethi also highlights the risk of state actors manipulating these markets to profit or mislead intelligence.

Key takeaway

For intelligence analysts and policymakers evaluating geopolitical risks, you should recognize that crypto-based prediction markets introduce new vectors for insider information leakage and potential state-sponsored manipulation. Your assessment of future events must account for the possibility that market activity reflects non-public knowledge or deliberate attempts to influence perceptions, necessitating enhanced vigilance regarding these platforms.

Key insights

Crypto-based prediction markets enable anonymous speculation on geopolitical violence, attracting insider trading and potential manipulation.

Principles

• Anonymity facilitates insider trading.
• Prediction markets can be manipulated by state actors.

In practice

• Monitor crypto prediction markets for unusual trading patterns.
• Assess the potential for market manipulation in sensitive areas.

Topics

• Prediction Markets
• Geopolitical Forecasting
• Cryptocurrency Markets
• Insider Trading
• Market Regulation

Best for: CTO, Executive, Policy Maker, Legal Professional, Domain Expert

Related on AIssential

• Trump earned $1.4 billion from crypto in 2025 — Geopolitical shifts, technological advancements, and economic pressures are creating a volatile global landscape.
• Authorities arrest special forces soldier who allegedly made $400K on Polymarket bet involving Maduro operation — Using classified information for personal financial gain on prediction markets is a federal crime.
• Why Prediction Markets Need Trust and Safety Professionals — Prediction markets require dedicated trust and safety expertise to mitigate risks beyond traditional financial fraud, especially information manipulation and real-world harm.
• The US is betting on AI to catch insider trading in prediction markets — The US Commodity Futures Trading Commission (CFTC) is significantly escalating its efforts to combat insider trading and market manipulation in offshore prediction markets, including Polymarket, by le…
• Pharos Network and Hong Kong University Are Quietly Building the Next Layer of On-Chain Forecasting — Prediction markets are evolving from entertainment to critical infrastructure for real-world asset pricing and information verification.
• Kayrros sale signals rising demand for satellite intelligence amid Hormuz crisis — Geospatial intelligence provides critical, real-time market signals during geopolitical crises by observing physical assets.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Statistical Modeling, Causal Inference, and Social Science.