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

What if restarting mines crash lithium prices back into a glut?

Fast mine restarts flip the lithium deficit back to glut, crushing carbonate/spodumene prices and the pure-play miners; Freeport/copper is the wrong proxy since lithium and copper balances diverge. Direct rhyme is the 2023 lithium crash (~80% off) when supply caught up and Albemarle/Pilbara cratered. Transmission: hurts Australian/Chilean producers and Chinese converters, helps battery-pack buyers. Forward angle: this time idled tonnes can return faster, so the glut can overshoot deeper than 2023.

32%
our model probability
over 6–18 months
prediction markets — the market's odds
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Anchored to measured history 32% · 90% range 12–52% · 12 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…

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What it would mean

If this plays out, it is a mixed shock. Idled mines restart fast, flipping the 2026 deficit back to glut and crashing elevated lithium prices, hitting miners. The trigger decomposes into signed root‑shocks — Industrial demand ▼ — 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.