The same video uploaded by two channels will produce very different numbers, and the gap is often enormous. Content is only one input to distribution, and it is not the one that decides who sees the video first.
Every channel carries an audience model
Platforms build a picture of who watches a channel and who abandons it, assembled from every session across its history. That model is what determines the composition of the first audience shown a new upload.
A channel with a well-matched, engaged history has its uploads placed in front of people likely to respond. One with a scattered history is tested against an audience that fits it poorly.
The video's own qualities only start mattering once it has been shown to someone. Before that, the channel's record has already chosen the sample it will be judged on.
Early response decides how far it travels
Distribution expands in stages, and each expansion is granted on the strength of what happened in the previous one. A weak first hour caps everything that follows.
Because the first hour is dominated by subscribers and habitual viewers, a channel with a strong core clears that first gate easily, while a weaker channel fails it with identical material.
The result compounds over time, since each success improves the model and each failure degrades it, and two channels diverge further with every upload.
Subject history sets what a channel is trusted with
A channel with a long record on one subject is treated as a credible source for it, and its uploads are matched against viewers interested in that subject specifically.
The same video from a channel with no history in the area receives no such matching, and has to earn its audience from a colder start with weaker signals.
This is why established creators can post modest work and reach large audiences, while stronger work from an unknown channel circulates slowly or not at all.
Presentation differences amplify the gap
Two channels rarely present identical content identically. Titles, images, chapter structure and description all differ, and each affects whether shown impressions become views.
Those choices interact with audience expectation rather than working in isolation, so a title that performs on one channel can underperform on another with a different established tone.
Copying the surface elements of a successful channel therefore transfers very little, because the elements were tuned to an audience the copying channel does not have.
What this implies about testing
Comparing performance between channels tells a creator almost nothing about the content, since the largest variable is the history rather than the video.
Useful comparison happens within a channel, against its own recent uploads, where the audience model is broadly constant and the content is the thing that changed.
It also explains why creators who restart on a new channel find their old results unrepeatable. The accumulated history, not the skill, was doing much of the work.