🛢 Energy & Commodities mixed · 3–10 years
A what‑if from the future

What if Stronger ENSO swings raise structural global crop volatility?

Climate-amplified El Niño/La Niña extremes widen the year-to-year swing in major-belt yields, embedding a higher food-price risk premium across the decade.

24%
our model probability
over 3–10 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 24% · 90% range 12–36% · 29 analogues · measured class climate 100% in 10 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — climate ≈1.2554/yr → 100% in 10 yr100%
Analyst prior · editorial share 24% of the class24%
Pooled · weight 83%24%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)24%
Published24%

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.

loading the timeline…

What it would mean

If this plays out, it is a mixed shock. Climate-amplified El Niño/La Niña extremes widen the year-to-year swing in major-belt yields, embedding a higher food-price risk premium across the decade. The trigger decomposes into signed root‑shocks — Biodiversity loss ▲ · Climate/crop supply ▲ · Food inflation ▲ · Risk appetite ▼ — 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
1Wheat WHEATon Hyperliquid 📈 chartCommodity▲ +0.8%
hist -0.12–+1.36% · other way -1.94% (n=12)
2Corn CORNon Hyperliquid 📈 chartCommodity▲ +0.8%
hist +0.09–+0.82% · other way -0.85% (n=12)
3Solana SOLon Hyperliquid 📈 chartCrypto▼ -0.2%
hist -4.12–+4.85% · other way -2.24% (n=11)
4Semiconductors SMHon Hyperliquid 📈 chartEquity▼ -0.2%
hist -0.29–+0.26% · other way +1.0% (n=12)
5MicroStrategy MSTRon Hyperliquid 📈 chartEquity▼ -0.2%
hist -1.15–+0.49% · other way +32.94% (n=12)
6Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▼ -0.2%
hist -0.27–+0.44% · other way -0.64% (n=12)
7Hyperliquid (HYPE) HYPEon HyperliquidCrypto▼ -0.2%
model prior · unmeasured
8Natural gas NGon Hyperliquid 📈 chartCommodity▲ +0.1%
hist -3.92–+1.64% · other way +13.7% (n=12)

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
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 29 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.

IPBES warns ~1 million species face extinction 2019-05 Chernobyl disaster 1986-04 Silver Thursday 1980-03 Gold peaks at $850 1980-01 1979 Iranian Revolution oil shock 1979-01 Gold tops $4,000 and silver spikes past $50 in historic squeeze 2025-10 H5N1 bird flu record US egg prices 2025-04 Gold tops $3,000 for the first time amid tariff and rate-cut fears 2025-03 Gold tops $2,500 for the first time on Fed rate-cut bets 2024-08 August 2022 hot CPI 2022-09 Powell's hawkish 'pain' speech at Jackson Hole 2022-08 Turkish lira record low on rate cuts 2021-11 Gold closes above $2,000/oz for the first time 2020-08 February 2018 hot wage print triggers rate scare 2018-02 North Korea sixth nuclear test 2017-09 North Korea 'fire and fury' nuclear scare 2017-08 Gold futures velocity-logic flash crash 2014-01 Gold all-time peak of $1,921/oz 2011-09 Egyptian revolution / Mubarak uprising 2011-01 Crude oil all-time high 2008-07 2008 global rice / food price crisis peak 2008-04 2008 global rice crisis: Thai benchmark tops $1,000/ton 2008-04 Soviet August coup attempt against Gorbachev 1991-08 Iran hostage crisis / US freezes Iranian assets 1979-11 Volcker Saturday Night Special 1979-10 Three Mile Island partial meltdown 1979-03 Iranian Revolution oil shock 1978-12 1974 sugar price spike to record 65+ cents 1974-11 Nixon Shock 1971-08
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
Volatility VIXLONG+5.2% · 5d +8.3%64%19 0.24·
CORN CORNLONG+0.4% · 5d -1.5% ↺ fades62%18 0.22✓ matches cascade
NG NGSHORT-3.8% · 5d -3.9%62%18 0.21⚠ differs
Gold XAUSHORT-1.2% · 5d -0.6%59%18 0.18·
SOL SOLLONG+5.4% · 5d -3.0% ↺ fades62%8 0.17⚠ differs
NDX NDXLONG+0.5% · 5d -0.9% ↺ fades57%20 0.10⚠ differs
High-yield credit HYGLONG+0.1% · 5d +0.2%57%18 0.10·
SMH SMHLONG+0.4% · 5d -0.9% ↺ fades54%18 0.06⚠ differs
Bitcoin BTCLONG+5.6% · 5d -0.9% ↺ fades52%12 0.04·
WHEAT WHEATLONG+0.8% · 5d -3.3% ↺ fades51%18 0.03✓ matches cascade
10y yield DGS10LONG+2bp · 5d +2bp51%29 0.02·
MSTR MSTRSHORT-1.0% · 5d -1.7%49%18 0.00✓ matches cascade
US dollar DXYLONG+0.3% · 5d +0.2%48%29 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.