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6559 findingsmedian surprise 0.00522window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #235 · 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

SURPRISE0.19
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
12.00
ACCEL
+18.00
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 0.19 (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 6559 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.090.00+0.09ABOVE 96%
VELOCITY12.005.67+6.33ABOVE 73%
RETENTION0.0%30.0%-30.0 PPABOVE 0%
FORKS28339-311ABOVE 14%
SURPRISE0.190.01+0.18ABOVE 97%