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

references/engagement-frameworks.md

@@ -81,7 +81,7 @@ Pattern: Speak directly to a specific audience
 Analysis of 9,000+ viral posts reveals the science behind what works:
 
 **Pattern Interrupts:**
-- Viral posts contain **2.7x more pattern interrupts** in first two lines
+- Viral posts tend to open with **more pattern interrupts** in the first two lines (multiplier unverified)
 - Pattern interrupts create information gaps that psychologically demand closure
 - Trigger dopamine release and heightened attention
 - Brain's prediction error system activates when expectations disrupted
@@ -347,7 +347,7 @@ Not all engagement is equal. The defensible spine is the **order**, not a fixed
 
 ### First Hour Critical
 - Aim for 15+ engagements in first 60 minutes
-- Respond quickly to early comments (30-minute response = 64% more follow-up comments)
+- Respond quickly to early comments (a 30-minute response tends to earn more follow-up comments — figure unverified)
 - Seed engagement by notifying key connections
 
 ### Comment Strategy

references/glossary.md

@@ -122,12 +122,12 @@ LinkedIn's mechanism for validating creator authority: professional history, pos
 ## F
 
 ### First-Hour Engagement
-Critical window (0-60 minutes post-publication) determining ~70% of a post's total reach. Requires: 5x5x5 pre-posting engagement, immediate response to first comments (within 5 minutes), and continued engagement through 90 minutes.
+Critical window — the first 15–30 minutes decide ~70% of a post's total reach (golden window 60–90 min). Requires: 5x5x5 pre-posting engagement, immediate response to first comments (within 5 minutes), and continued engagement through 90 minutes.
 
 **Used in:** `skills/linkedin-studio/SKILL.md`, `references/linkedin-formats.md`, `agents/engagement-coach.md`
 
 ### Four-Stage Distribution Model
-Sequential post distribution: Stage 1 (0-30s: Quality classifier + profile/topic-relevance validation) → Stage 2 (0-90min: Test to 6-10% of connections) → Stage 3 (1-24h: Extended if velocity good) → Stage 4 (24-72h+: Evergreen circulation).
+Sequential post distribution: Stage 1 (0-30s: Quality classifier + profile/topic-relevance validation) → Stage 2 (0-90min: Test to a small slice of connections) → Stage 3 (1-24h: Extended if velocity good) → Stage 4 (24-72h+: Evergreen circulation).
 
 **Used in:** `references/algorithm-signals-reference.md`
 
@@ -150,7 +150,7 @@ Opening 110-140 characters of a post that must work standalone on mobile (before
 **Used in:** `references/engagement-frameworks.md`, `skills/linkedin-studio/SKILL.md`, `agents/content-optimizer.md`
 
 ### Hook Psychology
-Neuroscience-backed engagement: Pattern interrupts trigger prediction error → dopamine release → information gap demanding cognitive closure. Pattern interrupts are 2.7x more common in viral posts. Optimal first line: ~49 characters.
+Neuroscience-backed engagement: Pattern interrupts trigger prediction error → dopamine release → information gap demanding cognitive closure. Pattern interrupts are markedly more common in viral posts (multiplier unverified). Optimal first line: ~49 characters.
 
 **Used in:** `references/engagement-frameworks.md`
 
@@ -195,7 +195,7 @@ Three-level connection classification: **Tier 1** (Inner Circle, 5-10 people, da
 ## P
 
 ### Pattern Interrupt
-Unexpected statement or data point that breaks normal thought patterns and captures attention. 2.7x more common in viral posts. Examples: contrarian claims, surprising statistics, provocative questions.
+Unexpected statement or data point that breaks normal thought patterns and captures attention. Markedly more common in viral posts (multiplier unverified). Examples: contrarian claims, surprising statistics, provocative questions.
 
 **Used in:** `references/engagement-frameworks.md`
 
@@ -213,7 +213,7 @@ Unexpected statement or data point that breaks normal thought patterns and captu
 ## S
 
 ### Save Signal
-Highest-value engagement signal — top of the engagement order. A save ≈ 5x a like (≈ 2x a comment) in single-vendor data — directional, not a fixed weight. Saves indicate content worth returning to; posts with saves get 130% higher follow probability. Only ~3% of posts reach save-worthy status.
+Highest-value engagement signal — top of the engagement order. A save ≈ 5x a like (≈ 2x a comment) in single-vendor data — directional, not a fixed weight. Saves indicate content worth returning to; posts with saves raise follow probability (saves are a follow-graph signal; figure unverified). Only a small fraction of posts reach save-worthy status.
 
 **Used in:** `references/algorithm-signals-reference.md`, `references/linkedin-growth-playbook-2025-2026.md`
 

references/linkedin-formats.md

@@ -144,7 +144,7 @@ Most creators quit before day 90. Algorithm needs 30+ days of consistent posting
 ## Mobile Optimization (Critical)
 
 **The mobile reality:**
-- 70% of LinkedIn users access via mobile
+- The majority of LinkedIn users access via mobile
 - First 110-140 characters visible before "see more"
 - Design for mobile-first with short paragraphs
 - Vertical visuals when possible
@@ -161,7 +161,7 @@ Most creators quit before day 90. Algorithm needs 30+ days of consistent posting
 
 ### The Golden Hour (First 60-90 Minutes)
 
-The first hour after posting determines 70% of your post's total reach. See the comprehensive Golden Hour monitoring guide in linkedin-growth-playbook-2025-2026.md for detailed velocity targets and real-time signals.
+The first 15–30 minutes decide ~70% of your post's total reach (golden window 60–90 min). See the comprehensive Golden Hour monitoring guide in linkedin-growth-playbook-2025-2026.md for detailed velocity targets and real-time signals.
 
 ### Engagement Quality Hierarchy
 

references/linkedin-growth-playbook-2025-2026.md

@@ -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.
 

references/trajectory-strategy-adjustments.md

@@ -36,7 +36,7 @@ Before adjusting tactics, identify root causes:
 | Dimension | Current (implied) | Adjustment | Rationale |
 |-----------|-------------------|------------|-----------|
 | **Posting frequency** | Below goal | Increase by 2x (e.g., 2/wk to 4/wk) | Volume is the #1 lever for algorithmic discovery |
-| **Engagement intensity** | Passive or minimal | 5x5x5 at full intensity + 10 extra comments/day on larger creators | External engagement generates 30-40% of new follower growth |
+| **Engagement intensity** | Passive or minimal | 5x5x5 at full intensity + 10 extra comments/day on larger creators | External engagement is a major driver of new follower growth (proportion unverified) |
 | **Format mix** | Text-heavy | Add 2 carousels/week + 1 document post/month | Carousels tend to earn more saves (figure unverified); saves are the strongest growth signal |
 | **Collaboration pace** | Rare or none | 2 collaborations/month minimum | Cross-pollination is the fastest way to break out of a plateau |
 | **Content emphasis** | General expertise | Shift to 80% save-worthy (frameworks, templates, checklists) | Save-worthy content compounds; engagement-only content doesn't |

references/troubleshooting-guide.md

@@ -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

references/video-strategy-guide.md

@@ -77,7 +77,7 @@ Comprehensive video scripting reference for LinkedIn authority content. This gui
 ```
 [0:00-0:03] HOOK (8 words)
   Pattern interrupt, bold claim, or stat shock.
-  Energy: HIGH — this determines 70% of retention.
+  Energy: HIGH — the opening seconds disproportionately determine retention.
 
 [0:03-0:12] CONTEXT (23 words)
   Why this matters. Brief personal connection.
@@ -301,7 +301,7 @@ LinkedIn's algorithm weights **completion rate** above all other video metrics.
 
 ### Vertical Video Preference
 
-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.
+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).
 
 ### Native Upload Signals