Why Opal Blocks YouTube But Does Not Teach You Anything About Your Habits

On a Tuesday evening last winter I checked how long I had been on YouTube and was genuinely surprised by the number. No focus block had stopped me, because I was not in a focus session. I was in unstructured time, which is precisely where blockers leave you alone.

That experience clarified something I had been thinking through while building Gazenest: blocking and tracking are not competing solutions to the same problem. They address different parts of it.

What Opal does, and where it stops

Opal is a focus app for iOS and macOS that enforces access blocks at the system level. For YouTube, it can be configured to block both the app and the domain during scheduled sessions. The block is genuinely hard to bypass, which is its main advantage over simpler timers, and it works well for the specific scenario it targets: keeping YouTube out of defined work or study periods.

What it does not do is track anything. No record of session duration, no channel history, no pattern across weeks. When a scheduled block is not active, Opal has no presence at all. If the bulk of your unintentional viewing happens in evenings or on weekends, those hours are entirely outside its scope.

After a year of using Opal, a person has no more accurate picture of their YouTube behavior than they did at the start. The constraint did the work. The person did not develop the capacity to do it themselves.

This is not a flaw in Opal specifically. It is a structural property of any blocking tool: the regulation stays with the tool, not with the user. Remove the blocker and the underlying pattern tends to return unchanged, because no self-knowledge was built in the meantime.

What tracking produces instead

When you can see that your Self-Control score dropped on Thursday evenings, and that one channel accounts for most of your drift time, you have something a blocker cannot give you: a specific, personal model of your own behavior. That model belongs to you whether or not you keep using the tracking tool.

Gazenest runs in the background in Chrome or Firefox and logs every YouTube session. If you used Intent Mode before opening YouTube, it records what you said you were there to do and compares that against what you actually watched. From this it computes a Self-Control score (the ratio of intentional to drift sessions), a Clarity score (how well you stuck to your stated intention), and a Diversity score (the variety of channels you visit, as a rough measure of algorithmic capture).

The dashboard shows those scores over time. You can see which days, which times of day, and which channels are associated with the most drift. Nothing is blocked. All of it produces self-knowledge.

I still open YouTube without a declared intention sometimes. The tool does not prevent that, and I did not build it expecting it to. What it does is make the pattern visible, so the pattern is harder to ignore.

Which tool fits which goal

Opal is a reasonable choice if your primary problem is reflexive YouTube opening during work hours or study sessions, and you want an external constraint that holds during those windows. Blocking is the right mechanism for that.

A behavioral tracker is better suited to the question of what your YouTube habits actually look like across all time, including the unstructured hours where blockers are not running. It is also better suited to people who want to understand their patterns before deciding whether blocking is even the right intervention.

These tools are not mutually exclusive. Using Opal during work hours while tracking total patterns with Gazenest across the week gives you both the short-term constraint and the longer-term self-knowledge. The limitation to keep in mind is that blockers require continued use to keep working, while awareness, once built, tends to persist on its own.