What if rapid EV and LNG-truck adoption structurally caps Chinese gasoline and diesel demand?
Rapid EV adoption and LNG-truck penetration structurally cap Chinese gasoline and diesel demand, removing the marginal growth that underpinned the global oil-demand outlook.
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 1–3 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 mixed shock. Rapid EV adoption and LNG-truck penetration structurally cap Chinese gasoline and diesel demand, removing the marginal growth that underpinned the global oil-demand outlook. The trigger decomposes into signed root‑shocks — China growth ▼ · Industrial demand ▼ · Oil demand ▼ — 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 | ▼ -0.4% hist -0.43–-0.07% · other way -1.24% (n=9) |
| 2 | Copper XCUon Hyperliquid 📈 chart | Commodity | ▼ -0.3% hist -1.41–+0.32% · other way -2.0% (n=9) |
| 3 | WTI crude CLon Hyperliquid 📈 chart | Commodity | ▼ -0.2% hist -0.43–+0.54% · other way -7.49% (n=9) |
| 4 | China internet KWEBon Hyperliquid 📈 chart | Equity | ▼ -0.2% hist -0.41–+0.06% · other way -2.51% (n=5) |
| 5 | Alibaba BABAon Hyperliquid 📈 chart | Equity | ▼ -0.2% hist -0.82–+1.4% · other way -6.12% (n=5) |
Probable recommendation
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 |
|---|---|---|---|---|---|---|
| Gold XAU | LONG | +1.4% · 5d +0.2% | 64% | 40 | 0.25 | · |
| XCU XCU | SHORT | -1.1% · 5d -0.7% | 62% | 40 | 0.21 | ✓ matches cascade |
| 10y yield DGS10 | SHORT | -4bp · 5d +1bp ↺ fades | 63% | 40 | 0.21 | · |
| Bitcoin BTC | SHORT | -2.4% · 5d -4.3% | 61% | 33 | 0.19 | · |
| KWEB KWEB | SHORT | -0.3% · 5d -1.3% | 57% | 34 | 0.14 | ✓ matches cascade |
| Volatility VIX | SHORT | -2.6% · 5d +0.1% ↺ fades | 58% | 40 | 0.14 | · |
| US dollar DXY | LONG | +0.4% · 5d -0.0% ↺ fades | 55% | 40 | 0.08 | · |
| FCX FCX | SHORT | -0.2% · 5d +0.3% ↺ fades | 50% | 40 | 0.00 | ✓ matches cascade |
| CL CL | LONG | +0.7% · 5d -1.4% ↺ fades | 47% | 40 | 0.00 | ⚠ differs |
| BABA BABA | LONG | +1.5% · 5d -1.5% ↺ fades | 41% | 33 | 0.00 | ⚠ differs |
| High-yield credit HYG | LONG | +0.3% · 5d -0.3% ↺ fades | 41% | 40 | 0.00 | · |