FINDING #5645 · UNIT ID 1026640764
brycewang-stanford/StatsPAI
StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.
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
Growth Telemetry
VELOCITY /D
2.66
ACCEL
-0.06
RETENTION
10.5%
PEAK 2026-04-28 · FORK-RETENTION 0.0% · 239 STARS / WINDOW
Author Audience
AUDIENCE
596
FOLLOWERS
187
OWNER ★
4,085
Engagement Signals
FORKS
56
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 239 / 239 (DIVERSITY 1.00)
Why This Is A Finding
brycewang-stanford/StatsPAI собрал 239 звёзд за окно, тогда как у автора всего 187 подписчиков — эффективная аудитория ≈ 596. Это даёт surprise-индекс 0.00418 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 12% OF 6380 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY2.663.99-1.34ABOVE 32%
RETENTION10.5%17.1%-6.6 PPABOVE 31%
FORKS5690-33ABOVE 36%
SURPRISE0.000.01-0.01ABOVE 28%