🛢 Energy & Commodities mixed · 1–3 years
A what‑if from the future

What if Eastern Australia La Niña megaflood hits Queensland?

A strong La Niña drives record flooding across Queensland and New South Wales, disrupting coal exports and wheat, lifting global coking-coal and WHEAT prices.

19%
our model probability
over 1–3 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 19% · 90% range 6–32% · 19 analogues · measured class growth 100% in 3 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — growth ≈1.8868/yr → 100% in 3 yr100%
Analyst prior · editorial share 17% of the class17%
Pooled · weight 76%20%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)20%
Published19%

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.

loading the timeline…

What it would mean

If this plays out, it is a mixed shock. A strong La Niña drives record flooding across Queensland and New South Wales, disrupting coal exports and wheat, lifting global coking-coal and WHEAT prices. The trigger decomposes into signed root‑shocks — Wheat ▲ · Climate/crop supply ▲ · Industrial demand ▲ · 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▲ +0.9%
hist -1.23–+1.78% · other way -0.55% (n=11)
2Corn CORNon Hyperliquid 📈 chartCommodity▲ +0.4%
hist -0.72–+1.86% · other way +0.16% (n=11)
3Solana SOLon Hyperliquid 📈 chartCrypto▼ -0.3%
hist -7.09–+6.64% · other way -8.23% (n=8)
4Hyperliquid (HYPE) HYPEon HyperliquidCrypto▼ -0.3%
model prior · unmeasured
5MicroStrategy MSTRon Hyperliquid 📈 chartEquity▼ -0.3%
hist -2.23–+1.44% · other way +17.3% (n=11)
6Ether ETHon Hyperliquid 📈 chartCrypto▼ -0.2%
hist -7.07–+6.89% · other way +4.03% (n=8)
7Freeport (copper) FCX 📈 chartEquity▲ +0.2%
hist -5.32–+2.62% · other way +8.32% (n=11)
8Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▼ -0.2%
hist -0.45–+0.34% · other way +1.81% (n=11)
9Semiconductors SMHon Hyperliquid 📈 chartEquity▼ -0.2%
hist -0.29–+0.12% · other way +2.75% (n=11)
10Bitcoin BTCon Hyperliquid 📈 chartCrypto▼ -0.2%
hist -4.04–+4.05% · other way +8.61% (n=8)
11Nvidia NVDAon Hyperliquid 📈 chartEquity▼ -0.1%
hist -0.62–+0.31% · other way +10.49% (n=11)
12Tech sector XLK 📈 chartEquity▼ -0.1%
hist -0.49–+0.48% · other way +2.57% (n=11)

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.
Also moves (not yet on Hyperliquid): Freeport (copper) +0.2% · Tech sector -0.1%

Historical precedent — what analogous events actually did

Across 19 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.

Chernobyl disaster 1986-04 Gold tops $4,000 and silver spikes past $50 in historic squeeze 2025-10 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 Gold closes above $2,000/oz for the first time 2020-08 IPBES warns ~1 million species face extinction 2019-05 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 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 Silver Thursday 1980-03 Gold peaks at $850 1980-01 Iran hostage crisis / US freezes Iranian assets 1979-11 Three Mile Island partial meltdown 1979-03 1979 Iranian Revolution oil shock 1979-01
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
Volatility VIXLONG+11.7% · 5d +2.5%77%13 0.44·
FCX FCXSHORT-5.3% · 5d -1.8%75%12 0.37⚠ differs
CORN CORNLONG+1.6% · 5d -1.4% ↺ fades67%12 0.29✓ matches cascade
WHEAT WHEATSHORT-1.9% · 5d -4.4%58%12 0.15⚠ differs
SMH SMHLONG+0.2% · 5d -1.1% ↺ fades58%12 0.14⚠ differs
XLK XLKLONG+0.6% · 5d -0.8% ↺ fades58%12 0.13⚠ differs
NDX NDXLONG+0.5% · 5d -0.9% ↺ fades55%14 0.08⚠ differs
10y yield DGS10SHORT-3bp · 5d -1bp51%19 0.02·
SOL SOLLONG+7.2% · 5d -4.3% ↺ fades50%4 0.00⚠ differs
MSTR MSTRSHORT-2.1% · 5d -2.2%42%12 0.00✓ matches cascade
ETH ETHLONG+7.5% · 5d -2.4% ↺ fades40%5 0.00⚠ differs
Bitcoin BTCLONG+4.5% · 5d +0.4%43%7 0.00⚠ differs
NVDA NVDASHORT-0.5% · 5d -2.8%50%12 0.00✓ matches cascade
Gold XAUSHORT-0.5% · 5d -0.7%50%12 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.