The Takeaway
You click on shortcuts and stories, but you only finish the things that respect your time — and the gap between the two is costing you about a workday a month.
Your Profile
The Selective Deep-Diver
You don't watch YouTube — you study it. When something catches your eye you go all the way in: full videos, follow-up rabbit holes, the comment section. But you're ruthless about what earns that attention. Most things get 40 seconds and a back-button. The algorithm keeps showing you more of what you half-watched; you keep proving it wrong.
Selective
Viewing Style
39h
Time Watched
71%
Avg Completion
Top Channels
- 1Fireship
- 2Veritasium
- 3ThePrimeagen
- 4Kurzgesagt – In a Nutshell
- 5Graham Stephan
- 6MrBeast
The feed leaned on 5 channels for 61% of your watch time, out of 47 it put in front of you. 29 of them appeared exactly once. 3 first showed up in the last 30 days.
Time You Could Reclaim
8h
on 142 videos you abandoned early
≈ a full work day
You started 142 videos in the last 90 days and bailed within the first minute — but not before they ate roughly 8 hours of your attention in clicks, loads, and 30-second auditions. That's a full work day spent deciding things weren't worth watching.
Interest Clusters
Software & Programming
This is your real home base. High completion, long sessions, and you regularly rewatch segments — a pattern that only shows up for content you're actively learning from, not passively consuming.
Documentary & Long-form Essays
You finish almost everything here, often in one sitting. These cluster heavily on weekends — the clearest sign of intentional, leisure-mode watching in your history.
Finance & Economics
Mixed signals: strong starts, middling completion. You're drawn in by thumbnails and titles but frequently bail when the video turns into a sales pitch or padded explainer. You want the insight, not the 20-minute windup.
Music & Performances
Short bursts — you play something, decide within a minute whether it's worth staying, and move on. This cluster is the most unpredictable in your history: the completions are either 15% or 95%, almost nothing in between.
Attention Gap
Clicked but abandoned
- 10 Productivity Hacks That Changed My Life
- I Tried the Billionaire Morning Routine for 30 Days
- Why I Quit My 6-Figure Job (Story Time)
- Reacting to My Old Videos (cringe warning)
- Unboxing the $3,000 Studio Setup
Quietly devoted
- The Forgotten History of Operating Systems
- How Compilers Work — Full Course
- An Honest Look at Index Funds After 10 Years
- Richard Feynman: The Pleasure of Finding Things Out
- How to Build a Habit That Actually Sticks
There's a clear pattern here: you click on things that promise a shortcut or a story, and you finish things that respect your time. The abandoned list skews toward lifestyle and reaction content; the devoted list is almost all structured knowledge. Your actual preferences and your click behavior are quietly at war.
The Bait Rate
34%
Titles Built To Be Clicked
19% vs 71%
Finished · Bait vs Rest
Aimed at you: urgency-framed productivity and finance
Clicked, then quit
- This ONE Habit Changed Everything (Not Clickbait)
- You Won't Believe What Happened to My Portfolio
- 10 Productivity Hacks That Changed My Life
- Reacting to My Old Videos (cringe warning)
A third of what the feed put in front of you was written to be opened, not watched — withheld payoffs, stacked punctuation, and promises of a shortcut. The split is stark: those titles hold you for 19% of their runtime, everything else for 71%. The feed is not reading your taste, it is reading your reflexes, and those two things point in different directions.
Measured from how the titles are written — shouting, withheld payoffs, listicles, stacked punctuation — across 142 of your videos. It reads style, not quality, and only in English.
What You Wanted vs What You Got
You want YouTube to make you better at building things — and to stay out of the way while you do it.
Serving that
- Programming and long-form course content is your highest-completion cluster and shows up reliably
- Sunday sessions are long, uninterrupted, and land almost entirely on things you finish
Getting in the way
- Roughly a third of what the feed offers you midweek is productivity and reaction content you bail on inside a minute
- Finance videos that open as analysis and turn into pitches — you keep clicking, then leaving
- The documentaries you finish almost never surface on a weekday, so building is a weekend-only activity by default
The feed has your interests roughly right and your intent completely wrong. It knows you like programming, so it serves you programming-adjacent bait — reaction videos about developers, productivity systems for developers — instead of more of the structured material you actually finish. The gap isn't discipline; it's that clicks and completions look identical to the algorithm, and only one of them is you.
Retrain Your Algorithm
Pushed on you (you bail)
- Productivity and 'morning routine' lifestyle content — you abandon 85% of it within a minute
- Reaction and 'story time' videos — high click rate, near-zero completion
- Finance hype ('Money Is About To Be Worthless') — you bail the moment it turns into a pitch
Starved of (you finish)
- Long-form structured courses and documentaries — your highest completion, but a small slice of your feed
- Calm, single-topic explainers that don't pad the runtime
Action mode
Do this today
Your feed is optimizing for your clicks, not your attention — so it keeps serving shortcuts and reactions you bail on while under-serving the structured, long-form content you actually finish. A week of deliberate 'Not interested' taps on the abandoned categories will measurably shift what shows up.
When You Watch
Sunday
Peak Day
By day of week
Your week has a clear shape: steady, snack-sized watching Monday through Thursday, a dip on Friday, then a Sunday spike that towers over everything else — nearly double any weekday. Sundays are also where your long-form completions concentrate; the weekday minutes are mostly quick technical look-ups.
Surprises
- You've watched over 38 hours of programming content in 90 days — that's more than most people spend on Netflix in a month.
- Your average session length is 47 minutes, but your median is only 9. A handful of long weekend sessions are pulling the mean way up.
- You watched the same video about system design twice in the same week, five weeks apart. Your history suggests you were working on something both times.
- Despite Finance being your third-biggest cluster by video count, it ranks last in total minutes — you open a lot, finish very few.
- Sundays are dramatically different from the rest of your week: longer videos, higher completion, almost no channel-hopping.
Questions worth sitting with
- You keep starting finance videos and stopping — is it the content format you dislike, or is there something about those topics you're not ready to sit with yet?
- Your 'quietly devoted' list is almost entirely structured learning. What would it mean to apply that same standard to what you click on in the first place?
- Sundays look like your most intentional watching. What's different about that day that the rest of the week isn't?
- If you had to delete one of your four interest clusters entirely, which would it be — and what would you actually miss about it?