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

What if drought slashes Vietnam's robusta coffee crop?

A Central Highlands drought is a robusta squeeze — long robusta coffee and pain for instant-coffee blenders (Nestle), not a grain or fab-water trade. Rhymes directly with the 2023-24 Vietnam drought that drove robusta to all-time highs and inverted the robusta-arabica spread. Vietnam is ~40% of world robusta, so transmission is global instant-coffee cost and a partial substitution into arabica; the wheat/corn/semis legs are the wrong instruments.

27%
our model probability
over 6–18 months
prediction markets — the market's odds
loading live odds…
Anchored to measured history 27% · 90% range 14–40% · 40 dated precedents behind it — a wider range means thinner evidence

Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.

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 (electric blue) over time vs the market's (Polymarket, amber), 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. Loading the probability audit trail…

loading the timeline…

What it would mean

If this plays out, it is a mixed shock. Severe drought in Vietnam's Central Highlands slashes robusta output, spiking instant-coffee costs worldwide. The trigger decomposes into signed root‑shocks — Climate/crop supply ▲ · Food inflation ▲ — which propagate through our causal graph to the markets below.

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Market odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-08-13.