FINDING #483 · UNIT ID 1126412969
igerber/diff-diff
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
86% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
Growth Telemetry
VELOCITY /D
1.66
ACCEL
+0.01
RETENTION
4.0%
PEAK 2026-05-11 · FORK-RETENTION 0.0% · 299 STARS / WINDOW
Author Audience
AUDIENCE
64
FOLLOWERS
29
OWNER ★
354
Engagement Signals
FORKS
45
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 299 / 299 (DIVERSITY 1.00)
Why This Is A Finding
igerber/diff-diff собрал 299 звёзд за окно, тогда как у автора всего 29 подписчиков — эффективная аудитория ≈ 64. Это даёт surprise-индекс 0.0159 (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.
Related Findings
RANKS ABOVE 15% OF 571 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 571 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 15%
VELOCITY1.666.39-4.73ABOVE 4%
RETENTION4.0%17.7%-13.7 PPABOVE 12%
FORKS45135-90ABOVE 21%
SURPRISE0.020.02-0.00ABOVE 36%