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

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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
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Kjell Tore Guttormsen 2026-06-20 09:54:44 +02:00
commit e17134ee9b
12 changed files with 26 additions and 26 deletions
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references/linkedin-growth-playbook-2025-2026.md
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@ -55,8 +55,8 @@ How long users spend viewing content with at least 50% visible on screen. Linked
**Critical stats:**
- Posts that get saved: **faster audience growth** (multiplier unverified — saves top the engagement order; see `references/algorithm-signals-reference.md`)
- Users who save your content: **130% higher chance of following you**
- Only ~3% of posts reach save-worthy status
- Users who save your content: **more likely to follow you** (saves are a follow-graph signal; figure unverified — see `references/algorithm-signals-reference.md`)
- Only a small fraction of posts reach save-worthy status
See linkedin-formats.md for detailed dwell time optimization strategies.