cc-canary — long-form regression writeup

Primary question: has Claude regressed on this user's work, and when?

Bundled script scripts/compute_stats.py does ~95% of the work in ~2.5s: scans JSONLs, runs inflection + transition-day detection, builds pre/post aggregates, cross-version comparison, hour-of-day, word frequency, three- period thinking depth, visibility transition, per-turn rates, and abnormalities — then renders a complete markdown skeleton with every table filled. Narrative slots are marked <!-- C: ... -->.

Default window: 60d. Accept 7d / 14d / 30d / 60d / 90d / 180d.

Framing — three-bucket classification

1. Model-side — same user/task, worse outcomes; cross-version worse; reasoning-depth dropping
2. User-side — project-mix shift; shorter/imperative prompts; new codebase; shortcut vocab rising
3. Ambiguous — mixed confounds, borderline effect size, either-way-explainable