Cross-Branch Comparison
cache age 348h 44mFor a single prediction, see its conditional probability across every scenario branch. Predictions whose probability varies widely are "scenario-sensitive" — the position is a leveraged bet on which future fires. Flat rows = robust to scenario uncertainty.
Pick a prediction
High-conviction (≥4) predictions with ≥2 ticker exposures
231_013
Math is cooked (will be solved), physics cooked, biology char broiled.
AI · Alex Wissner-Gross · conv 5/5 · resolves 2027-06
live posterior: 35% (prior 62%)
Scenario range
1.8pp
24% to 26% across 4 scenarios
cache 37 rows · 2026-05-24 04:31 UTC
cf:e20a3cc6aed2
Compute scale
cumulative — branches can co-occur · range 1.8pp
| Scenario | Scenario prob | P(231_013 | scenario) | Δ live |
|---|---|---|---|
S_COMPUTE_1GW_2027 Compute: 1GW operational by Jun 2027 | 60% | 24% | -11pp |
S_COMPUTE_10GW_2028 Compute: 10GW total by Dec 2028 | 40% | 26% | -10pp |
S_COMPUTE_100GW_2030 Compute: 100GW national-scale by Dec 2030 | 20% | 26% | -10pp |
S_COMPUTE_STARGATE_FAILURE Stargate failure: <500MW by 2029 | 15% | 24% | -11pp |
What this tells you
- High sensitivity (≥30pp range): this claim's probability swings wildly depending on which future fires. Sizing should be smaller; pair with a hedge that has the opposite sensitivity profile.
- Flat row (≤10pp range): the claim is robust — same probability in good and bad scenarios. A "no-regret" position; you don't need to time the underlying scenario.
- Spike on one branch: a leveraged thesis on a specific scenario. If that scenario's prior shifts, this position re-rates massively.