builtbykev 494c83cf76 Hunt the window-bug class: three more paths, and the forward re-audit rule
in code

PHASE 0 — getStatRows is the single base-rate path, so every branch is
audited, plus the feature builders since l20_avg is the season reference
projectionFor reads:

  getStatRows MLB -> estimator base    fullLog            CORRECT (929fd81)
  mlbGameLogFeatures l5/l10/l20        last10 = 10        DEFECTIVE
  espnStatsAdapter.parseGameLog        slice(0,20)        DEFECTIVE
  getStatRows NBA/WNBA ESPN branch     inherits 20-cap    DEFECTIVE via source
  getStatRows NBA/WNBA python branch   getGameLogs(...,20) dormant (offline)
  pitcherEngine / skillProjection      statcast profiles  N/A
  pitcher props via getStatRows MLB    fullLog            CORRECT
  settleSource                         full log (S64)     CORRECT

THE PITCHER ANSWER IS GOOD NEWS: pitcher props run through the same
getStatRows MLB branch, so 929fd81 repaired them too. There is no separate
defective pitcher base-rate path.

THE ONE HIDING IN PLAIN SIGHT: mlbGameLogFeatures carries the comment
"l20 = all available (the season per-game reference projectionFor needs)"
while building from last10 -- so l20_avg was a TEN-GAME AVERAGE WEARING A
SEASON LABEL, feeding both the consistency pull inside the estimator and
projectionFor, which decides refusals. It survived the previous repair
because that fix touched only getStatRows.

PHASE 1 — mlbGameLogFeatures now reads fullLog; espnStatsAdapter drops its
slice(0,20) cap. ZERO new API calls on both: each widens data already
fetched and then discarded, the same shape as the original repair. The
python branch is left alone -- the service is offline in prod and fixing it
would be speculative.

Their before/after resolution is NOT measured, deliberately: the only way
to measure today is to reconstruct the repaired forecast over old rows,
which is the reconstruction-vs-served trap this order refuses. Code fix
now, measurement at accrual.

PHASE 2 — MODEL_VERSION bumped to engine1@2026-08-07-fullwindow, so every
forward snapshot is self-identifying (retentionService already stamps it;
no new plumbing). model/reAuditEligibility.js encodes the rule: isEligible
accepts only the repaired marker, assess counts eligible DATES not rows,
and ACCRUAL is frozen at calibration 10 / hits-lift 10 / verdict-reaudit
14 / rbi-gate 14. A test locks the invisible case -- a MIXED table of 330
rows with 30 repaired returns eligible_dates 3, not 330 rows of false
confidence. Once both generations share a table a naive count would fit a
map on a blend of two forecasters.

PHASE 3 — the board, each consequence labelled: calibration WITHDRAWN
(refits at 10 dates, never on reconstructions); factor verdicts SUSPECT
(all measured against a champion worse than a frequency table, direction
UNKNOWN, not pre-priced, 14 dates); hits factor lift UN-REMEASURABLE (10
dates, factors still wired and transmitting); rbi lineup-slot RE-QUEUED
(14 dates). Pre-registered order: calibration, hits lift, verdict
re-audit, rbi gate.

Then STOP and accrue. Nothing further can be honestly measured until the
board fills with rows the repaired champion produced.

Serving-path changes by design for the MLB feature path and NBA/WNBA logs;
eleven frozen model modules verified unchanged. p_win never mutated. No
Bonferroni slot.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01W1sivYNqY2TS5ftykmHBU9
2026-08-07 03:40:20 -04:00
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