Wrongly Assumed

How to read this channel

Wrongly Assumed is a 9,410-subscriber channel (about 5 months old) working mainly in Explainer / Science, Documentary / History, publishing first in English / Global. The radar tracks 9 of its uploads. Its strongest signal (breakout score 6.8× the dataset median) reaches 161.3× the channel's subscriber count and has averaged 46,043 views a day since it was published 21 days ago, on “The Voynich Manuscript Was Reanalyzed by AI - Nobody Expected the Findings” (966,912 views). That is a lifetime average, not a current rate — one capture per video means this dataset cannot distinguish a video that is still climbing from one that already peaked. The API reports the audio track language as en-US.

There is one statistic this page deliberately does not print: a per-channel “share of uploads that reached 3×”. Every video on this site cleared that floor before it could be tracked at all, so the figure would read 100% for every channel and would distinguish nothing. What is left instead: 9 tracked uploads pulling 3,155,880 views between them, the strongest reaching 161.3× its audience. Repeated strong reach across several uploads is the part that suggests a format; one outlier is not. The hook patterns the tracker infers from its titles are statement / cold open (7), contradiction hook (2), and the production choices that repeat are no-face format (no host on camera), ai-generated visuals declared in the title, ends on a cliffhanger to farm next-episode views, ai historical reenactment (period visuals).

What to copy and what to skip: copy the packaging pattern (title structure, the promise made in the first seconds, the episode length that keeps working) and skip the parts that only this channel can do — an existing subscriber base, cross-posting, or a back catalogue that feeds recommendations. Then compare this channel against the others on its category board: same niche, different market, different length. That comparison is where the transferable part usually hides.

Those are audience numbers, not earnings: the public API returns views and subscribers but never revenue, so nothing on this site can tell you what the channel takes in. To turn an audience size like this one into a money figure under assumptions you set yourself, the YouTube channel value calculator applies an RPM you choose to views the API actually reports — it draws its comparables from the same tracked channels, and it holds no revenue data either.