Weekly log · Behaverly

Week 4

Sep 8 – Sep 14, 2026

The breakout took 3 days to build, not 1.

And Shorts are retaining viewers more than 3x better than long-form — a real, unflattering number worth acting on.

New content posted 1 long-form, 1 Short
Long-form avg % viewed 14.4%
Shorts avg % viewed 47.1%

Posted this week

Three uploads: "The Truth About Being Watched (It's All in Your Head)" and "Why You Assume a Confident Person Is a Competent Person," both new long-form videos, and the Short "Why You're Irritable After Crowds: The Brain Lag" — a direct follow-on to Crowded Places' recovery-lag finding.

VideoTypeViews (as of Sep 21)
The Truth About Being Watched (It's All in Your Head)Long-form2
Why You Assume a Confident Person Is a Competent PersonLong-form—
Why You're Irritable After Crowds: The Brain LagShort—
Correction — this log undercounted itself, twice

An earlier version of this log only listed the Short posted this week. Two long-form videos also went up inside this window — "The Truth About Being Watched" (~Sep 10) and "Why You Assume a Confident Person Is a Competent Person" (Sep 14) — and both were missed on the first pass. Both are added here rather than quietly carried into a later week. Worth naming plainly: catching one missed video and then missing a second one in the same log is a real process gap, not just bad luck — the fix going forward is cross-checking the actual YouTube Studio video list against this log before publishing it, not relying on memory of what got scripted that week.

The real thing — the breakout wasn't a day-1 event

Pulled the actual daily view data on Crowded Places for the first time, and it changes the story. It didn't spike on the day it posted — it built over three days, peaking on day 3, then dropped off almost as fast as it climbed.

DateDayViews
Sep 2Post day1
Sep 3Day 220
Sep 4Day 337
Sep 5Day 448
Sep 6Day 54
Sep 7 onward—3, 1, 0...
✅ Worth remembering next time a video looks flat on day 1

If this video had been judged by its first 24 hours alone, it would have looked identical to every other flat video on the channel. The real algorithmic push took two to three days to show up. That's a real reason to hold off judging a video too early — and a real reason not to over-trust early view counts when deciding what "worked."

✅ The retention gap is the bigger finding this week

Across the full trailing period: long-form videos are being watched through only 14.4% of their runtime on average (1:04 of a video that runs several minutes). Shorts are being watched through 47.1% of their much shorter runtime. Long-form has more total views, but Shorts are dramatically better at holding attention once someone clicks.

This connects directly to our own video length guide's core argument — retention beats runtime, and this is a real, uncomfortable confirmation of that on our own channel. Worth reviewing per-video retention graphs to see specifically where long-form videos lose people, rather than assuming it's evenly spread.

A real decision, not just research

Spent time this week studying two established psychology channels — one using flat cartoon illustration with aspirational "Psychology of X" titles (115K subs, views ranging 5.5K to 1.7M on identical format), one using painterly portraits with philosopher-attribution and command-style titles (views ranging 8.3K to 466K). Neither pattern cleanly dominated — different channels, different mechanisms, no universal formula.

Built three full alternate title/description/thumbnail sets testing an "aspirational, how-to" framing against the current "why does this happen" framing — ready to use, but holding off. Decision: keep the current visual identity as-is, and test title/hook framing specifically once we're 20-30 videos in, so there's enough volume for a real signal instead of another 2-data-point anecdote.

Full channel standings, as of today Long-form: 134 views this period, 14.4% average completion
Shorts: 83 views this period, 47.1% average completion
Combined average view duration: 50 seconds across all content types
Coming up Next video scheduled for this week. Watching whether the delayed-breakout pattern repeats on anything new, and starting to look at individual video retention graphs to find where exactly long-form is losing people.
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