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
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@ -77,7 +77,7 @@ Comprehensive video scripting reference for LinkedIn authority content. This gui
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```
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[0:00-0:03] HOOK (8 words)
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Pattern interrupt, bold claim, or stat shock.
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Energy: HIGH — this determines 70% of retention.
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Energy: HIGH — the opening seconds disproportionately determine retention.
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[0:03-0:12] CONTEXT (23 words)
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Why this matters. Brief personal connection.
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@ -301,7 +301,7 @@ LinkedIn's algorithm weights **completion rate** above all other video metrics.
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### Vertical Video Preference
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LinkedIn now strongly prefers vertical (4:5 at 1080x1350) video on mobile feeds. Vertical videos get approximately 20-30% more feed real estate than landscape.
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LinkedIn now strongly prefers vertical (4:5 at 1080x1350) video on mobile feeds. Vertical video occupies more feed real estate than landscape on mobile (proportion unverified).
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### Native Upload Signals
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