What if the Amazon dries out and flips to savanna?
The tradable leg is the soft-commodity/risk-vol combo: an Amazon dieback is a multi-year Brazilian agri-supply shock (soy, sugar, coffee, beef) layered on a tail-risk vol bid, with carbon-offset prices spiking. Closest analogue is Brazil's 2021 frost/drought that ripped arabica coffee +60-70%. Forward angle: this is slow-burn structural, so it bleeds into the BRL and Brazilian ag exporters' replacement-cost margins rather than delivering a single VIX event; the modeled semis/Nvidia leg is noise.
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 3–10 years 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 risk-off shock. Sustained drought tips the Amazon into self-drying collapse, releasing stored carbon and spiking global offset prices. The trigger decomposes into signed root‑shocks — Climate/crop supply ▲ · Geopolitical risk ▲ — 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 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +3.7% hist -0.31–+6.79% · other way -0.14% (n=11) |
| 2 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -1.4% hist -0.91–-0.27% · other way -0.16% (n=11) |
| 3 | Wheat WHEATon Hyperliquid 📈 chart | Commodity | ▲ +1.1% hist -2.19–+1.9% · other way -3.37% (n=11) |
| 4 | Corn CORNon Hyperliquid 📈 chart | Commodity | ▲ +1.1% hist -0.31–+0.96% · other way -2.47% (n=11) |
| 5 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▼ -0.9% hist -0.53–-0.28% · other way +3.27% (n=11) |
| 6 | Tech sector XLK 📈 chart | Equity | ▼ -0.9% hist -0.53–+0.36% · other way -0.02% (n=11) |
| 7 | S&P 500 SPXon Hyperliquid 📈 chart | Index | ▼ -0.7% hist -0.6–-0.21% · other way -0.37% (n=12) |
| 8 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▼ -0.7% hist -0.44–-0.08% · other way +6.07% (n=11) |
| 9 | AMD AMDon Hyperliquid 📈 chart | Equity | ▼ -0.6% hist -1.15–+0.13% · other way +0.39% (n=11) |
| 10 | Broadcom AVGOon Hyperliquid 📈 chart | Equity | ▼ -0.6% hist -1.12–+1.58% · other way +2.35% (n=11) |
| 11 | Micron MUon Hyperliquid 📈 chart | Equity | ▼ -0.6% hist -5.02–+1.68% · other way +0.15% (n=11) |
| 12 | TSMC TSMon Hyperliquid 📈 chart | Equity | ▼ -0.6% hist -3.16–+0.78% · other way +2.87% (n=11) |
| 13 | Marvell MRVLon Hyperliquid 📈 chart | Equity | ▼ -0.6% hist -1.55–+2.29% · other way +3.52% (n=11) |
| 14 | ASML ASMLon Hyperliquid 📈 chart | Equity | ▼ -0.5% hist -2.56–+0.96% · other way -1.77% (n=11) |
Probable recommendation
Why we may diverge from history
Trust the cascade's NOC long: the -4.3% history is built on 1991 Soviet-coup and gold-squeeze windows where defense was dragged by broad selloffs, not a defense-spend shock like this geoengineering crisis.
Historical precedent — what analogous events actually did
Across 40 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 |
|---|---|---|---|---|---|---|
| Volatility VIX | LONG | +4.5% · 5d +4.0% | 67% | 29 | 0.30 | ✓ matches cascade |
| INTC INTC | SHORT | -3.0% · 5d -2.5% | 66% | 34 | 0.28 | ✓ matches cascade |
| XLF XLF | SHORT | -0.7% · 5d -0.0% | 66% | 27 | 0.25 | ✓ matches cascade |
| MSTR MSTR | LONG | +3.5% · 5d -2.2% ↺ fades | 66% | 27 | 0.22 | ⚠ differs |
| XLK XLK | LONG | +0.7% · 5d -0.5% ↺ fades | 64% | 27 | 0.21 | ⚠ differs |
| JPM JPM | SHORT | -1.5% · 5d -0.9% | 64% | 34 | 0.21 | ✓ matches cascade |
| RTX RTX | SHORT | -1.1% · 5d -1.4% | 60% | 40 | 0.19 | ⚠ differs |
| TRY TRY | SHORT | -0.4% · 5d +0.7% ↺ fades | 62% | 26 | 0.19 | ✓ matches cascade |
| TSM TSM | SHORT | -2.6% · 5d -2.8% | 62% | 28 | 0.18 | ✓ matches cascade |
| AMD AMD | SHORT | -0.8% · 5d -0.9% | 61% | 34 | 0.17 | ✓ matches cascade |
| SOL SOL | LONG | +4.9% · 5d -8.2% ↺ fades | 63% | 13 | 0.17 | ⚠ differs |
| 10y yield DGS10 | LONG | +10bp · 5d +5bp | 58% | 40 | 0.16 | · |
| MU MU | SHORT | -4.4% · 5d -2.3% | 57% | 32 | 0.12 | ✓ matches cascade |
| High-yield credit HYG | SHORT | -0.6% · 5d -0.2% | 57% | 26 | 0.12 | ✓ matches cascade |
Why this probability
Amazon tipping-point collapse is structural/multi-decade; sub-decade abrupt flip very unlikely. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.