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9775 findingsmedian surprise 0.00761window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #502 · UNIT ID 1429011384
bhoult/correlation
Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0814
ENGAGEMENT0.38
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
23% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.14
ACCEL
+3.86
RETENTION
0.0%
PEAK 2026-10-25 · FORK-RETENTION 0.0% · 36 STARS / WINDOW

Author Audience

AUDIENCE
23
FOLLOWERS
7
OWNER ★
162

Engagement Signals

FORKS
28
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 36 / 36 (DIVERSITY 1.00)

Why This Is A Finding

bhoult/correlation собрал 36 звёзд за окно, тогда как у автора всего 7 подписчиков — эффективная аудитория ≈ 23. Это даёт surprise-индекс 0.0814 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9775 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.040.00+0.04ABOVE 95%
VELOCITY5.143.71+1.43ABOVE 60%
RETENTION0.0%29.6%-29.6 PPABOVE 0%
FORKS28129-101ABOVE 20%
SURPRISE0.080.01+0.07ABOVE 93%