A Closed Chokepoint and a Falling Price
On paper, the conditions [for](/metrics/fodsp) an energy supply shock are in place. The Strait of Hormuz has been largely closed since late February, with tanker traffic down to a fraction of the roughly 3,000 vessels a month that transited before the war. And yet [Brent](/metrics/dcoilbrenteu) has fallen about 20% over the past month toward $71, and the US [oil](/metrics/wti) fund is down 19%. The risk premium that spiked on the initial conflict has bled out as the market priced a lower chance of a wider US-Iran escalation. This is the central tension of the scenario: the supply risk is structurally present but not currently priced.
Why the Shock Is Latent
A latent shock is not a small one. The same closed strait that the market is now ignoring means there is almost no spare deliverable capacity to absorb a fresh disruption. [OPEC+](/glossary/opec-plus) has raised paper quotas four months running, but those barrels cannot ship while Hormuz is shut, so the supply cushion that would normally cap a spike is not available. The result is an asymmetric distribution: a high floor with a fat right tail. Any tanker incident, a failed reopening, or a second front could send [Brent](/metrics/dcoilbrenteu) back through $100 quickly, because there is no slack to lean against.
The Spare-Capacity Trap
The reason a latent shock is dangerous is that the usual shock absorber is missing. In a normal disruption, [OPEC+](/glossary/opec-plus) leans on spare capacity to fill the gap and cap the price. In mid-2026 that capacity exists on paper but cannot ship: the same closed strait that is suppressing today's price is also trapping the barrels that would answer a spike. The 2022 template is instructive. When Europe embargoed Russian crude, Brent spiked above $120 before rerouting and demand destruction pulled it back, and that was with Gulf supply flowing freely. Strip out the Gulf cushion and the right tail of the distribution fattens considerably. This is why the position is about [convexity](/glossary/bond-convexity), not level: the spot price near $71 says the market has priced de-escalation, and cheap optionality is the efficient way to own a low-probability, high-magnitude outcome.
Scenario probabilities are computed using a Bayesian log-odds model with calibrated base rates, z-score evidence weighting on first-differences, cross-metric correlation adjustment, and simultaneous coherence enforcement. Positioning reflects directional expected value under binary resolution assumptions. Full methodology and known limitations →