fix(linkedin-studio): N22 — ærlighetsscrub (fabrikkerte benchmarks, Velocity Score, 15+-terskelen) [skip-docs]
Tre defektklasser av samme slag: tall som ser sourcet ut, men ikke er det.
Klasse A — post-feedback-monitor:
- Percentil-tabellen (Low/Average/High/Viral × fire faser) fjernet. Ingen kilde
publiserer per-fase-percentiler for en enkeltkonto; cellene var oppfunnet.
Erstattet av N17-baseline-motoren (median ± 1 MAD, n, og refusal under
MIN_BASELINE_N=5) med motorens eget vokabular: above/within/below band.
- Velocity Score fjernet i sin helhet, inkl. fase-multiplikatorene (5,0x/3,0x/
1,5x/1,0x/0,5x). SSOT-en sier ordrett at "comment = 15x/5x" er unverified
folklore, og at 5x-tallet var saves-figuren feiltilskrevet kommentarer.
Erstattet av rå tellinger + engagement rate slik csv-parser.ts definerer den.
- Output-malen har nå en eksplisitt refusal-gren. Malen uten en slik gren var
grunnen til at agenten fylte inn tall den ikke hadde.
- To folklore-multiplikatorer i Principles ("5x the impact", "worth 15 likes").
Klasse B — "15+ engagements in first hour unlocks 2nd/3rd degree distribution",
11 treff i 9 filer. SSOT-en sier "Directional, not a fixed threshold". Påstanden
overlevde både hardening-gaten og kald-review (log.md:1099 sjekket ~70%-
misattribusjonen, ikke terskelen).
Klasse C — engagement-coach volum: fila bar tre motstridende tall (30+/dag,
23-37 i tidsblokk-grid, 15-24 i steg-for-steg-rutinen). Rutinen er nå in-file
SSOT (~55 min, 15-24 kommentarer), grid og rutine har eksplisitte sum-linjer,
og volum-tabellens åpne "30+" har fått et AVLEDET tak (40) med regnestykket
synlig — ikke et nytt rundt tall. Uverifiserbar superlativ ("110K followers,
#2 global creator") fjernet.
I tillegg: den numeriske "Velocity targets"-tabellen i engagement-coach lagt om
til SSOT-ens egen ikke-numeriske form (a few / building / momentum), og
commands/firsthour.md:66 -- som pekte pa "the 5/15/30/60-minute reaction+comment
targets" -- fulgt etter, ellers hadde den dinglet mot en tabell som ikke lenger
har tall.
docs/hardening/log.md:1099 star med vilje: den er revisjonsnarrasjon om hva som
BLE sjekket i sin tid, ikke en levende pastand.
Verifisert: ~70%-sitatet og golden window finnes faktisk i SSOT-en (:98, høy
konfidens) og er beholdt. Alle ti suiter grønne, floors uendret.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Pwb1oWLqKB2oBJHSoWNcy
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@ -40,14 +40,18 @@ Help creators:
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4. Build a network effect through strategic commenting (target selection + CEA-quality comments)
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5. Turn comments into profile visits, follows, and business relationships
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**Core belief:** Commenting is not support activity — it is a primary growth channel. 30+ daily strategic comments is one of the most reliable growth levers on LinkedIn (Jasmin Alic, 110K followers, #2 global creator).
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**Core belief:** Commenting is not support activity — it is a primary growth channel. The
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direction is well-attested among high-volume practitioners (e.g. Jasmin Alic); the *volume*
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is not a published figure and no source establishes a daily number that works. **How many
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comments you should write is set by your time budget, not by a benchmark** — see Daily
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Volume Targets, where every row carries the minutes it costs.
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## The Engagement Multiplier
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**The math that most creators ignore:**
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- Comments rank above likes in the engagement order (see `references/algorithm-signals-reference.md`)
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- Substantive comments (15+ words) outweigh short ones and rank above plain reactions — but below saves and shares (no fixed comment-vs-reshare multiplier)
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- Posts with 15+ engagements in first hour unlock 2nd/3rd degree distribution
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- Strong early engagement unlocks broader distribution — directional, **not a fixed threshold** (no published engagement count flips it)
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- Your comments on others' posts expose you to their audience
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- Commenting within 30 minutes of a post tends to earn more follow-up engagement on your comment (multiplier unverified)
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@ -81,13 +85,21 @@ Help creators:
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4. **Respond to EVERY comment** within 30 minutes (more follow-ups — figure unverified)
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5. **Add 2-3 more self-comments** over 90 minutes (spark discussion)
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**Velocity targets:**
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| Time | Target | Warning |
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|------|--------|---------|
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| 5 min | 2-3 | 0 = wrong time |
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| 15 min | 5-8 | <3 = hook issue |
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| 30 min | 10-15 | <5 = consider adjustments |
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| 60 min | 15-25 | <10 = limited reach |
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**Velocity shape** — the SSOT keeps this table deliberately non-numeric, and so does this
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one: these are low-confidence directional hypotheses to test on your own account, **not
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targets** (`references/algorithm-signals-reference.md`, operational heuristics). No
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primary source publishes a per-minute engagement count.
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| Time | What you want to see | If it is well below |
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|------|----------------------|---------------------|
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| 5 min | any movement at all | check the posting time |
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| 15 min | a few | check timing / hook |
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| 30 min | building | engage in the comments |
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| 60-90 min | momentum | golden window closing |
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The comparison that *is* defensible is against **your own recent first hours** — same
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account, same audience. Once analytics are imported, the baseline engine gives you that
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band; before then, the honest read is "too early to tell".
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---
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@ -198,23 +210,36 @@ Structure: Connect to their point → Share brief relevant story → Extract the
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Commenting within 30 minutes of a post's publication tends to earn more follow-up engagement on your comment (figure unverified). Early comments get pinned to the top and seen by the largest audience.
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| Time Block | Activity | Why |
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|------------|----------|-----|
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| 7:00-7:30 AM | Scan overnight whale posts | Catch early-morning content from US timezones |
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| 8:00-8:30 AM | First comment round (5-8 comments) | Peak European posting window begins |
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| 10:00-10:30 AM | Mid-morning round (5-8 comments) | Catch late-morning posts, respond to replies |
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| 12:00-12:30 PM | Lunch round (5-8 comments) | High-activity period, new posts flowing |
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| 3:00-3:30 PM | Afternoon round (5-8 comments) | Catch US East Coast morning content |
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| 5:00-5:30 PM | Evening sweep (3-5 comments) | Wrap up, respond to threads from earlier |
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| Time Block | Activity | Minutes | Why |
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|------------|----------|---------|-----|
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| 7:00-7:10 AM | Scan overnight whale posts (0 comments) | 10 | Catch early-morning content from US timezones |
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| 8:00-8:15 AM | First comment round (5-8 comments) | 15 | Peak European posting window begins |
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| 12:00-12:15 PM | Mid-day round (5-8 comments) | 15 | High-activity period, new posts flowing |
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| 3:00-3:10 PM | Afternoon round (5-8 comments) | 10 | Catch US East Coast morning content |
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| ongoing | Reply to replies on your earlier comments | 5 | Where relationships actually form |
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**Sum: 15-24 comments in ~55 minutes/day.** This grid and the step-by-step routine below
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are the same day, counted twice — keep them equal if you change either.
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### Daily Volume Targets
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| Growth Stage | Daily Comments | Focus Split |
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|--------------|----------------|-------------|
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| 0-1K followers | 10-15 | 60% whales, 40% ICPs |
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| 1K-5K followers | 15-25 | 40% whales, 30% circle, 30% ICPs |
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| 5K-10K followers | 20-30 | 30% whales, 30% circle, 20% ICPs, 20% new |
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| 10K+ followers | 30+ | Even split across all four groups |
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These are **allocation guidance, not performance benchmarks** — no published dataset ties a
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daily comment count to a growth outcome. What each row *does* carry is its price, derived
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from this file's own routine: ~40 minutes of commenting buys 15-24 CEA-quality comments,
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i.e. **~2-3 minutes per comment** including reading the post it answers.
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| Growth Stage | Daily Comments | Costs (derived, ~2-3 min each) | Focus Split |
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|--------------|----------------|--------------------------------|-------------|
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| 0-1K followers | 10-15 | ~25-45 min | 60% whales, 40% ICPs |
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| 1K-5K followers | 15-25 | ~35-75 min | 40% whales, 30% circle, 30% ICPs |
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| 5K-10K followers | 20-30 | ~45-90 min | 30% whales, 30% circle, 20% ICPs, 20% new |
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| 10K+ followers | 30-40 | ~65-120 min | Even split across all four groups |
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**Why the top row is capped at 40 and not left open-ended:** at this file's own per-comment
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cost, 40 comments is already 80-120 minutes of commenting *before* creating anything. The
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ceiling is arithmetic, not a measured limit — past it the plan stops being a daily habit and
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quietly becomes a full-time one. If you want more volume, the honest lever is shorter
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comments, and that trades directly against the quality scorecard below.
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### Daily Comment Routine — Step-by-Step
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@ -245,6 +270,10 @@ Commenting within 30 minutes of a post's publication tends to earn more follow-u
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- Focus on US-timezone whale posts now visible
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- Clean up any unanswered threads
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**Daily sum: 10 + 15 + 5 + 15 + 10 = ~55 minutes for 15-24 comments** — the same day the
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time-block grid above counts. Scaling to a higher row in the volume table means adding
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rounds, not compressing comments.
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**Step 6: Weekly Review (15 min, once per week)**
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- Which comments generated the most profile visits?
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- Which target group delivered the best ROI?
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@ -339,7 +368,7 @@ Rate each comment before posting:
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**This month:**
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- [ ] Build inner circle of 5-10 peers
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- [ ] Achieve consistent first-hour velocity (15+ engagements)
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- [ ] Achieve consistent first-hour velocity (compare each post to your own recent first hours, not a fixed count)
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- [ ] Track which engagement activities drive most return
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```
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