Critical Materials Atlas
Synthesis · the whole argument

The hardest cases

Twelve layers, one conclusion. “Critical” is not a single score — it is a stack of independent failures: a metal you can’t scale, can’t diversify, can’t recycle, whose demand is surging, in a market too thin to have any slack. Most materials trip one or two. A few trip nearly all — and those are the ones with no way out.

The five axes, and where each comes from

Each material is scored on five independent failure axes, each drawn from an earlier layer: can’t scale = by-product-dominant (companionality ≥ 66); can’t diversify = one country makes ≥ 60% (production share, or trade concentration where no tonnage exists); can’t recycle = ≤ 10% end-of-life (recycling); demand surging = ≥ ~2.5× by 2040 (demand); no slack = a world market under 50,000 t/year (production).

On reading it: the axes are deliberately coarse thresholds, not a weighted composite — the point is how many independent safeguards are gone at once, not a false-precision index. Two axes (demand, thin market) are blank where the underlying data doesn’t cover a material, shown as n/a rather than assumed. Because hard cutoffs hide metals sitting just under a line, a companion Monte-Carlo page propagates uncertainty through all five axes (20,000 draws) and reports P(hardest) as a gradient — it confirms gallium and germanium are robust and surfaces the borderline cases this binary view erases. Inputs: the five layer JSONs → synthesis.json.

The scorecard

safeguard goneholdsno data— hover any cell for the number

What the atlas now says, in one paragraph