What if catastrophic floods paralyse the Rhine and Danube?
The clean read is the Rhine: low/disrupted barge navigation forces partial-load surcharges on diesel, coal and chemical feedstocks into German industry — a logistics-cost shock, not a copper trade. Rhymes with the Aug-2022 Rhine low-water episode that crimped BASF/Ludwigshafen and German fuel barging. The modeled lone Freeport-copper move is misrouted; transmission is intra-European industrial logistics and German producer margins, with European gas/power as the salient input.
how we built this number — every step
The class rate is measured from our dated, sourced event library (decade-normalized Poisson — the full table is public at base_rates.json). The variant’s share within its class is the analyst’s editorial call, published so you can audit it. A wider range means thinner precedent. Full recipe: methodology · scored at Reality Check.
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 (gold) over time vs the crowd's (Polymarket, blue), 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. The gold path is an illustrative reconstruction anchored to today's estimate — real dated events, not a live re-estimate history.
What it would mean
If this plays out, it is a mixed shock. Catastrophic Central European flooding paralyzes Rhine barge traffic and chemical plants, choking industrial logistics for months. The trigger decomposes into signed root‑shocks — Industrial demand ▼ · European energy ▲ · Diesel ▲ — which propagate through our causal graph to the markets below.
If it happens — the markets it would move
Biggest moves first. Projected moves are cascade-model priors; hist A–B% = what comparable past events actually did (measured abnormal returns), and model prior · unmeasured marks markets with no analogue backing yet. Tap any market for its price history.
| Market | Class | Projected move | |
|---|---|---|---|
| 1 | Freeport (copper) FCX 📈 chart | Equity | ▼ -0.3% hist -0.63–+0.33% · other way +6.98% (n=12) |
| 2 | Copper XCUon Hyperliquid 📈 chart | Commodity | ▼ -0.1% hist -0.42–+0.34% · other way -0.9% (n=12) |
Probable recommendation
Historical precedent — what analogous events actually did
Across 25 analogous events (overlap‑weighted), as abnormal returns — market beta stripped, so it's the event's own effect, not the market backdrop. Shown at 20 days (persistent) and 5 days (immediate); ↺ fades = the two horizons disagree. Confidence = consistency × sample × significance.
| Asset | History says | Abnormal (20d · 5d) | Hit | n | Confidence | vs cascade |
|---|---|---|---|---|---|---|
| High-yield credit HYG | SHORT | -0.4% · 5d -0.0% | 67% | 12 | 0.23 | · |
| Volatility VIX | SHORT | -3.0% · 5d -2.3% | 60% | 15 | 0.15 | · |
| US dollar DXY | LONG | +0.4% · 5d +0.1% | 59% | 25 | 0.15 | · |
| Gold XAU | SHORT | -2.0% · 5d -0.5% | 57% | 14 | 0.13 | · |
| 10y yield DGS10 | LONG | +8bp · 5d +7bp | 51% | 25 | 0.02 | · |
| FCX FCX | LONG | +0.6% · 5d +0.7% | 50% | 14 | 0.00 | ⚠ differs |
| XCU XCU | LONG | +0.5% · 5d -0.8% ↺ fades | 43% | 14 | 0.00 | ⚠ differs |
| Bitcoin BTC | LONG | +3.3% · 5d +2.2% | 50% | 6 | 0.00 | · |
Why this probability
Major Rhine/Danube floods recur but months-long industrial paralysis is the demanding part. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.