Commit Graph

2 Commits

Author SHA1 Message Date
builtbykev f61ec6b391 Read integrity, as-of context, and the shadow matchup resolve (A1-A7)
Seven orders of measurement-first repair. The served grade does not move.

A0/A1 — the unordered page walk returned the right COUNT and the wrong ROWS:
410-617 of 2,490 duplicated with an equal number never returned, while
rows.length matched the server exactly. safePaginate orders on a real unique
key, verifies the tuple at runtime, and THROWS on a query error instead of
treating it as end-of-data. Both hits PROVES are withdrawn: they were drawn
through that reader, and defense_by_direction's distinct-n was likely below
the gate floor all along.

A2/A2b — rolled across every reader: 11 FAIL -> 0. Composite keys pulled from
pg_index (the context tables are dated-composite and had no single unique
column). The unordered helper is deleted, not parked.

A3 — ledgerService and retentionService defaulted the SAME env var to
DIFFERENT versions, so no ledger row ever carried the marker eligibility
requires. One source now. model_snapshots settlement moved onto the cron:
15,484 -> 28,894 settled, repaired-champion 0 -> 7,556.

A4 — hitsFactorContext takes an as-of cutoff. Refusal over reconstruction: no
row at-or-before the date means the factor does not apply, never the nearest
row. Live path unchanged, proven 400/400 on real rows.

A5 — factor_inputs freezes what the factor READ, never the multiplier, so an
audit can recompute and check. It also recorded the finding: the three hits
factors have NEVER fired. prop.opponent and prop.opposing_pitcher are read by
the resolver and written by nothing.

A6/A7 — matchupKeys resolves those keys from the posted lineup plus the
schedule's probable pitchers, and fires the factors into a SHADOW freeze:
248 fires on 308 props, 245 of which would move the grade. The served
forecast is untouched. specs/a8-shadow-factor-gate.md pre-registers the test
that decides whether they ever go live.

Nothing is turned on. CALIBRATION_DEPLOYED stays []. Both verdicts stay
withdrawn. 4,772 tests / 371 suites green, web build exit 0, read-integrity
harness 34/34.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-11 22:49:56 -04:00
builtbykev 7b85934dc3 Under-querying vs out of data: the answer depends on the unit
The platoon test's n=452 described how much of the JOIN survived, not how
much data exists. There are 1,266 clean settled hits rows and zero
quarantined ones. platoon_splits had been ingested from tonight's lineups
only (315 players), so any hitter who settled a prop without appearing in
an ingest-day lineup was silently absent from every test.

Backfilled all 380 hitters (81 fetched, 0 unresolved). Re-ran on 1,059
rows, up from 452.

THE DEMOTION IS THE HEADLINE. pitcher_contact_profile, the strongest
proven factor in the programme (-0.0064, CI [-0.0113,-0.0014]), roughly
halved to -0.0034 on more than double the sample and its corrected
interval now spans zero. The Bonferroni denominator also rose to 55,
which widens every interval -- but a denominator cannot move a point
estimate, and that halved on its own.

platoon and platoon_severity now clear the bar and are NOT promoted.
Upper bound -0.0001, on season-to-date splits that contain the games they
predict: measured contamination is 4.5% median, 12.4% at p90, 137% worst.
I had assumed ~1%. They stay CANDIDATE pending point-in-time splits.

GAME-LEVEL IS A DIFFERENT PROBLEM. game_context held zero weather rows
ever -- not because the fetcher was wrong (it correctly targets
Open-Meteo's archive) but because ledger_entries keys a game as
mlb:2026-08-03:Away@Home and game_context keys it as mlb:823437. Every
lookup missed and NULL columns read as honest absence. Third occurrence
of that class.

Fixed the join: 96/101 settled games now carry actual archived weather,
park dimensions backfilled 15 -> 30 venues.

But 928 total_bases rows sit on 47 games at 17.6 rows per game. Park and
weather assign one value per game, so resampling rows would have
manufactured a pass. factorGate now resamples clusters when rows carry
one and judges sample against effective_n; unclustered rows keep the
original path byte-for-byte. Verdict: 47 clusters < 500, and the point
estimate is +0.0011 -- worse, not merely unproven.

Weather needs ~57 more days. Park dimensions need never: there are 30
ballparks in MLB, so a venue-constant factor can never reach 500
independent units. That bar was built for player-level factors and does
not transfer.

Wind is refused. We have speed and bearing for all 96 games; we lack park
orientation, and 220 degrees is blowing out at one park and in at
another. Using speed alone would assert an effect while discarding the
sign that decides what it is.

Counter and frozen clusters untouched.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01W1sivYNqY2TS5ftykmHBU9
2026-08-05 19:30:17 -04:00