In a lecture titled “Geo-Strategy #8: The Iran Trap,” part of his “Predictive History” series, Jiang forecast that President Donald Trump would win the 2024 election and that a renewed administration would escalate militarily against Tehran. Trump did win. And U.S.-Iran hostilities intensified, first with the so-called Twelve-Day War in June 2025 and more recently with the launch of Operation Epic Fury on Feb. 28, 2026.

Operation Epic Fury, a joint U.S.-Israeli campaign, targeted Iranian leadership and nuclear facilities. Iranian retaliation followed swiftly, including missile strikes and regional proxy escalations. Oil and natural gas markets convulsed, shipping routes faced disruptions, and global investors shifted into defensive positions.

Jiang’s third prediction — that the United States would lose such a war — remains hypothetical. But his rationale has gained renewed scrutiny as the conflict broadens. Bitcoin.com News previously reported on the predictive analyst’s theory that an Iranian strike would pull multiple global powers into war. Moreover, Jiang published a new Substack article on Feb. 28 called “World War III Begins,” which explains that the war is supposed to conclude on Tuesday, March 3.

Jiang details that this is “when a Blood Moon will appear. Freemasons (who control America’s national security apparatus) revere the number ’33.'”

At the core of his argument is what he describes as American military overconfidence. Since the 2003 Iraq invasion, Jiang argues, Washington has leaned heavily on air superiority, precision strikes, and rapid “shock and awe” campaigns designed to avoid prolonged ground occupations. That doctrine, he contends, assumes adversaries will fracture politically once leadership is targeted.

Iran, he argues, is different.

With a population approaching 90 million and terrain dominated by mountains and urban density, Iran presents formidable defensive advantages. Jiang estimates that a full-scale occupation would require millions of troops — far beyond what the United States could realistically deploy. Limited deployments, he warns, would risk isolated units vulnerable to drones, missiles, and supply-line disruptions.

He also challenges the assumption that Iranians would welcome regime change. Historical grievances — including U.S. involvement in the 1953 coup and memories of post-2003 Iraq instability — could produce nationalist resistance rather than internal collapse.

Jiang frames the situation through game theory. In his view, Iran, Israel, Saudi Arabia and even U.S. leadership have incentives that could encourage escalation. Iran gains domestic unity under attack. Regional rivals weaken two adversaries at once if both Washington and Tehran are drained. U.S. leaders may seek decisive victories tied to legacy or deterrence credibility. Those overlapping incentives, Jiang argues, create a “trap” driven by sunk costs and political pride.

His historical analogies are pointed. He cites Athens’ disastrous 415 BCE invasion of Sicily during the Peloponnesian War, where early optimism gave way to annihilation and imperial decline. He invokes Vietnam, where gradual escalation and credibility concerns produced 58,000 American deaths without a strategic victory. In each case, he argues, major powers overextended.

If such a defeat occurred — defined as failure to achieve regime change, heavy casualties and forced withdrawal — the consequences for U.S. equities could be severe.

First week: Markets would likely react with sharp risk-off selling. Oil could spike 20% to 50% if the Strait of Hormuz faced credible disruption. Energy and defense stocks might climb, but broad indices such as the S&P 500 could fall 5% to 15% amid volatility spikes. Safe-haven assets, including U.S. Treasurys and gold, would likely see inflows.

First month: As operational realities set in, equities could remain choppy. Inflation pressures from higher energy costs might complicate Federal Reserve policy, potentially delaying rate cuts. Multinational firms exposed to Middle East supply chains could face earnings downgrades. A cumulative 10% to 20% market decline would not be unprecedented in prolonged geopolitical crises.

First year: If a clear strategic setback emerged, structural pressures could intensify. War spending in the trillions could expand federal deficits. The dollar might weaken if global confidence in U.S. geopolitical dominance eroded, increasing import costs and inflation risks. Historical parallels to the post-Vietnam stagflation era suggest the possibility of a prolonged bear market, with equity declines of 15% to 30% over 12 months not out of range in extreme scenarios.

Not all sectors would suffer equally. Energy producers and defense contractors could remain comparatively resilient, while high-growth technology and consumer discretionary stocks might bear heavier losses in a higher-risk premium environment. Emerging markets could see capital rotation if investors reassess U.S. exposure.

Still, markets adapt. Even major geopolitical shocks — including 9/11 and the Iraq invasion — eventually gave way to recoveries. The duration and depth of any downturn would hinge on escalation scope, oil supply continuity and diplomatic outcomes.

For now, Jiang’s third prediction remains untested. But as Operation Epic Fury unfolds and regional tensions persist, his “Iran Trap” thesis is being debated far beyond academic circles. Across forums and social media, metrics show Jiang’s predictive theory is being shared far and wide.

• Did Jiang Xueqin predict the U.S.-Iran war? Yes, in May 2024 he forecast both Trump’s election win and a subsequent U.S. conflict with Iran.
• Why does Jiang argue the U.S. would lose? He cites military overreach, Iran’s terrain and population advantages, and misaligned geopolitical incentives.
• How could a U.S. defeat affect stocks? Analysts project sharp initial sell-offs, prolonged volatility and potential bear-market conditions if defeat becomes clear.
• Which sectors might benefit during prolonged conflict? Energy and defense stocks could outperform if oil prices rise and military spending increases.

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