Energy & Commodities mixed · 0–6 months
A what‑if from the future

What if a once-in-a-century flood inundates the Yangtze basin?

Trade it through China demand: a Yangtze mega-flood idles industrial heartland output, so copper and AUD soften on weaker China metals demand while the CNY and China internet names wobble. Rhymes with the 2020 Yangtze floods that hit Hubei/Anhui industry and pressured base metals. Transmission runs via China being ~55% of copper demand and the marginal oil importer; the Three-Gorges tail risk is the convex add-on that would spike, not dump, hydropower-adjacent risk.

18%
our model probability
over 0–6 months
prediction markets — the market's odds
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Anchored to measured history 18% · 90% range 6–29% · 40 dated precedents behind it — a wider range means thinner evidence

Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.

The butterfly cascade

How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.

Resolution timeline — how this probability is moving

Our model's odds (electric blue) over time vs the market's (Polymarket, amber), from the past toward the 0–6 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. Loading the probability audit trail…

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What it would mean

If this plays out, it is a mixed shock. A once-in-century Yangtze flood inundates Chinese industrial heartland, idling factories and threatening the Three Gorges Dam. The trigger decomposes into signed root‑shocks — China growth ▼ · Industrial demand ▼ — which propagate through our causal graph to the markets below.

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Market odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-08-13.