Event study: report its own statistical limits
The v3 cutover run scored 2/4 corrections warned against v2's 3/4, which reads like a regression and is not one. Only 4 of the 11 detected corrections fall in the holdout, so recall is one event from a different headline -- and the event that flips is decided by threshold placement, not by what the score saw. "v3 without the credit sensor" catches 2025-02-21 at a *higher* threshold (35.5) than shipped v3 misses it at (32.3), because the alarm rule needs a rising edge and a lower threshold can fire outside the horizon then never reset below. Two caveats are now computed and surfaced rather than left for the reader to infer: - Holdout event count against MIN_EVENTS_FOR_CONFIDENCE. The summary sentence states how many of the detected corrections actually fall in the test period. - Warning-sensor coverage across the split. The score renormalises over what is available, so a training window predating a sensor's history freezes the threshold on a different construct than the holdout is measured against. At the cutover that is 39% of training sessions with all three sensors versus 100% of the test period, credit history beginning 2023-07-25. Restricting the threshold to sensor-matched training sessions was tested and rejected: those sessions are a calm recent stretch, so the threshold falls from 32.3 to 22.5 and false alarms rise from 3.3 to 8.6/yr. It swaps a coverage bias for a regime-selection bias. The report states its limits instead. _warning_series now returns per-session sensor counts alongside the scores. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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@@ -160,6 +160,40 @@ A cached report is discarded when its methodology no longer matches, so the pane
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reverts to "not run yet" after a bump rather than showing stale numbers. **Re-run
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the Event Study job after cutting over to v3.**
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### Reading the result
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The report carries a `reliability` block and the UI renders its warnings, because
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the headline numbers invite over-reading in two specific ways.
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**The holdout is thin.** The study detects 11 corrections across 5 years but the
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70/30 split leaves only 4 in the test period. Recall is therefore one event away
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from a materially different headline, and in practice the event that flips is
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decided by where the frozen threshold happens to land rather than by whether the
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score saw anything. The v3 cutover run illustrates it: v3 scored 2/4 against v2's
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3/4, but "v3 without the credit sensor" scores 3/4 at a *higher* threshold
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(35.5) than shipped v3 misses it at (32.3) — because the alarm rule needs a
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rising edge, and a lower threshold can mean the alarm already fired outside the
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20-session horizon and never reset below. Below `MIN_EVENTS_FOR_CONFIDENCE`
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holdout events the report says so explicitly.
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Some events carry no information at all for comparison: in that run every
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variant caught 2026-03-06, every variant missed 2026-06-05, and every variant
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"caught" 2025-11-20 with a 1-session lead, which is coincident rather than a
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warning.
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**Sensor coverage can straddle the split.** The score renormalises over available
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sensors, so a training window predating a sensor's history freezes the threshold
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on a different construct than the holdout is measured against. At the v3 cutover
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only 39% of training sessions had all three Warning sensors versus 100% of the
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test period, because credit history begins 2023-07-25.
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Restricting the threshold to sensor-matched training sessions was tried and is
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*not* the fix: those sessions are a calm recent stretch, so the threshold drops
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from 32.3 to 22.5 and false alarms rise from 3.3 to 8.6 per year. It trades a
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coverage bias for a regime-selection bias. The honest position is that the
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threshold is hypersensitive to window choice at this sample size; the report
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states its limits rather than pretending to a precision it does not have.
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## Operator rule
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Quadrant alerts default off for new/reset configurations. When enabled they
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