Understanding Your Self-Control Score

I built the Self-Control score after noticing something uncomfortable in my own data: almost every session I started "for five minutes" between tasks ended thirty minutes later with no memory of deciding to keep watching.

The score tries to quantify that gap between intention and outcome. It is not a grade. It is closer to a odometer reading for a behaviour you probably already suspect is happening.

What the score actually measures

Self-Control reflects how often your viewing sessions look intentional compared to how often they look driven by the platform. The signals that push a score down include long unbroken sessions, rapid channel-switching, heavy use of Shorts, and a pattern of late-night viewing where willpower tends to be thinnest. A session where you declared a purpose beforehand, watched a coherent set of videos, and stopped counts in your favour.

The weighting is proprietary, but the direction is consistent: measured, purposeful watching scores high; reactive, algorithm-led watching scores low.

Scores fall into three broad bands. Anything above 75 suggests your viewing is mostly deliberate. Between 50 and 74 you have a mix of intentional sessions and drift. Below 50, the algorithm is doing most of the steering.

Patterns worth knowing about

Weekend scores drop for most users. The explanation is straightforward: more unstructured time, less external constraint. Knowing that does not fix it, but it does remove the surprise.

The other pattern is the late-night spiral. Sessions between 11 PM and 2 AM pull scores down reliably, across almost everyone who uses the tracker long enough to have a trend line. Decision-making quality degrades over the course of a day, and YouTube is particularly effective at exploiting that window.

Shorts consumption is the third pattern. The format removes the small friction of choosing a next video, and that friction turns out to matter. Users who watch a lot of Shorts almost always carry a lower Self-Control score than their other habits would predict.

What the score does not solve

Gazenest tracks and scores behaviour; it does not block anything. If you have a strong habit of opening YouTube when you are anxious or bored, a score on a dashboard will not interrupt that loop in the moment. The score is useful for the kind of person who responds to data and wants to see patterns over weeks, not for someone who needs an external barrier. I still open YouTube reflexively sometimes. The score just makes it harder to pretend I do not.

The most consistent improvement comes from using Intent Mode before sessions, which shifts a small amount of friction to the start of the viewing decision rather than leaving it entirely absent. Weekly score trends matter more than any single session: a rough Wednesday does not define the week.