refactor(linkedin-studio): S31c descriptive-%-scrub — platform-norm percentages asserted as fact -> SSOT

24 edits / 12 files (+26/-26). Unsourced platform/algorithm/audience percentages reconciled to
SSOT vocabulary (figure/proportion/multiplier unverified). Catalog + new sibling clusters
(64% follow-up x5, wrong-window 70% x4, Stage-2 6-10% x2) + borderlines (70% retention, 70%
mobile) + the ~3% save-worthy straggler (surfaced, not silent). The SSOT-sourced ~70% reach
figure is KEPT; only the wrong window corrected (60min/1h -> first 15-30 min). Sourced/computed
benchmarks kept (Buffer 178%/247%, Socialinsider 11%). KEPT C1: ~45% AI-comment figure (already
hedged correlational/medium-confidence). Gate 81/0/0 exit 0, counts 29/19/26 + v0.5.0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
This commit is contained in:
Kjell Tore Guttormsen 2026-06-20 09:54:44 +02:00
commit e17134ee9b
12 changed files with 26 additions and 26 deletions

View file

@ -177,7 +177,7 @@ Understanding how to recover from algorithmic suppression is critical for long-t
- Recovery to baseline: 14-21 days
- Full restoration with growth: 3-4 weeks
### Moderate Suppression (50-70% drop)
### Moderate Suppression (partial reach loss)
- Initial improvement: 2-3 weeks
- Recovery to baseline: 4-6 weeks