🛢 Energy & Commodities mixed · 6–18 months
A what‑if from the future

What if African Swine Fever resurgence guts Chinese feed-grain demand?

A fresh ASF wave culls China's hog herd, collapsing soymeal and corn feed demand and dragging global feed-grain and oilseed prices lower.

23%
our model probability
over 6–18 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 23% · 90% range 3–43% · 40 analogues · measured class deflation 44% in 18 mo · 3% held back for the unknown
how we built this number — every step
Measured class rate — deflation ≈0.3895/yr → 44% in 18 mo44%
Analyst prior · editorial share 54% of the class24%
Pooled · weight 87%24%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)24%
Published23%

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 6–18 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.

loading the timeline…

What it would mean

If this plays out, it is a mixed shock. A fresh ASF wave culls China's hog herd, collapsing soymeal and corn feed demand and dragging global feed-grain and oilseed prices lower. The trigger decomposes into signed root‑shocks — Corn ▼ · China growth ▼ · Diesel ▼ · Food inflation ▼ — 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.

MarketClassProjected move
1Corn CORNon Hyperliquid 📈 chartCommodity▼ -0.4%
hist -0.89–+0.18% · other way -1.9% (n=10)

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
Long
For a common-man portfolio: Mixed for a typical portfolio — the move is more about rotation than direction. Favour the winners over the losers below rather than net exposure.

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.

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AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
Bitcoin BTCSHORT-2.9% · 5d -3.7%62%32 0.19·
Gold XAULONG+0.9% · 5d +0.1%60%40 0.18·
Volatility VIXSHORT-1.3% · 5d -1.6%59%40 0.14·
10y yield DGS10SHORT-3bp · 5d +0bp ↺ fades56%40 0.10·
US dollar DXYLONG+0.3% · 5d -0.1% ↺ fades52%40 0.04·
CORN CORNSHORT-0.6% · 5d -0.3%44%40 0.00✓ matches cascade
High-yield credit HYGLONG+0.0% · 5d -0.1% ↺ fades43%40 0.00·

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Crowd odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-07-03.