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

What if Ogallala aquifer depletion shrinks US High-Plains irrigation?

Accelerating Ogallala drawdown forces dryland conversion across the High Plains, structurally cutting US corn and wheat output and lifting the price floor.

26%
our model probability
over 3–10 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 26% · 90% range 1–52% · 2 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 30% of the class30%
Pooled · weight 25%27%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)27%
Published26%

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. Accelerating Ogallala drawdown forces dryland conversion across the High Plains, structurally cutting US corn and wheat output and lifting the price floor. The trigger decomposes into signed root‑shocks — Corn ▲ · Wheat ▲ · Biodiversity loss ▲ · Climate/crop supply ▲ — 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▲ +1.1%
model prior · unmeasured
2Corn CORNon Hyperliquid 📈 chartCommodity▲ +1.0%
model prior · unmeasured

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
Short
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 2 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
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
10y yield DGS10SHORT-20bp · 5d -5bp60%2 0.15·
US dollar DXYLONG+1.1% · 5d -0.1% ↺ fades40%2 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.