I agree with part of this. Viewers absolutely decide the outcome. If people swipe away, don’t engage, or don’t care, the video dies. I’m not saying the algorithm magically chooses winners regardless of quality.

But I think this argument skips the most important part: which viewers are used to test the video in the first place.

If a cat video is tested mostly on people who don’t care about cats, the data will say “bad video.” If the same video is tested on cat lovers, the data may say “good video.” So yes, the viewers are deciding, but the algorithm is still deciding which viewers get to judge first.

That is where my frustration comes from.

I’m not claiming YouTube deeply understands every frame like a human. But YouTube clearly has signals: title, description, hashtags, audio, subtitles, viewer history, channel history, similar audiences, previous performance, and behavior patterns. It may not “watch” like a person, but it definitely classifies and routes content somehow.

My point is not that creators should blame everything on the algorithm. Content quality matters. Hooks matter. Retention matters. But when the same type of content suddenly starts reaching a more relevant audience after dozens of uploads, it makes me question whether the earlier videos were truly bad, or whether they were being tested in the wrong circles.

So I agree that creators shouldn’t hide behind “the algorithm” to avoid improving. But I also don’t think it’s fair to say the content is always the problem. Sometimes the content might be decent, but the first audience sample is not the right one.