Geopolitics mixed · 3–10 years
A what‑if from the future

What if space-based solar power finally becomes viable?

Space-based solar viability is a long-run energy-disinflation story: it pressures Brent/WTI and distillates on a softer terminal oil-supply premium, dragging energy majors and trimming breakevens. No direct analogue; the cleanest mental rhyme is the way the 2014-16 shale/solar cost-curve shift permanently capped the long-end oil strip. Skeptic: launch-cost and transmission engineering keep this decades out, so any crude selloff on the headline is a fade - the durable trade is the terminal-value derating of fossil-energy long-duration assets, not spot.

8%
our model probability
over 3–10 years
prediction markets — the market's odds
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Anchored to measured history 8% · 90% range 1–16% · 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 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. Loading the probability audit trail…

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What it would mean

If this plays out, it is a mixed shock. Space-based solar power reaches viability, repricing the long-run energy outlook. The trigger decomposes into signed root‑shocks — Oil supply risk ▼ — 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.