EPISTEMIC TELEMETRY · RECURSIVE CALIBRATION
Epistemic Insights
Empirical Brier metrics & calibration drift against realized outcomes.
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Brier:—
Lower is better. 0 = perfect, 0.25 = random binary.
Need 30 more reviewed decisions for a confident score. You’re at 0.
| Predicted range | Decisions | Happened | Observed frequency |
|---|---|---|---|
| 0-10% | 0 | 0 | — |
| 10-20% | 0 | 0 | — |
| 20-30% | 0 | 0 | — |
| 30-40% | 0 | 0 | — |
| 40-50% | 0 | 0 | — |
| 50-60% | 0 | 0 | — |
| 60-70% | 0 | 0 | — |
| 70-80% | 0 | 0 | — |
| 80-90% | 0 | 0 | — |
| 90-100% | 0 | 0 | — |
Show table
| Predicted range | Decisions | Happened | Observed |
|---|---|---|---|
| 0-10% | 0 | 0 | — |
| 10-20% | 0 | 0 | — |
| 20-30% | 0 | 0 | — |
| 30-40% | 0 | 0 | — |
| 40-50% | 0 | 0 | — |
| 50-60% | 0 | 0 | — |
| 60-70% | 0 | 0 | — |
| 70-80% | 0 | 0 | — |
| 80-90% | 0 | 0 | — |
| 90-100% | 0 | 0 | — |