YouTube Outlier Finder
Rank a channel's uploads by how far each one beat its own median views, or search a niche to see what is overperforming right now. The baseline is always shown, so you can check the arithmetic.
What an outlier actually is
A view count on its own tells you nothing. 40,000 views is a disaster on a channel whose median is 900,000 and the best week of someone's life on a channel whose median is 1,200.
The only figure worth ranking on is the ratio: views divided by the baseline that video should be measured against. Above about 3x the format changed, not the luck — that is the video worth taking apart and making again.
This tool shows you the median it divided by, every time, so you can check the arithmetic instead of trusting a score with no units.
Your ranked outliers appear here
Paste a channel, or switch to topic mode to see what is overperforming across a niche.
The number most outlier tools quietly get wrong
Almost every outlier score is a lifetime view count divided by some baseline, and lifetime view counts are not comparable across ages. A video published on Tuesday has collected a fraction of what it will end up with; one from eighteen months ago is finished. Divide them by the same median and the recent video looks like a flop and the old one looks like a hit, when the only difference between them is the calendar. Worse, when the fresh videos sit inside the baseline they drag the median down and inflate everything else, so the error compounds in both directions at once. This tool holds anything under seven days out of the median and marks it in the ranking, because a multiple that can only go up is a floor, not a finding.
The second error is the mean. A channel with fourteen videos around 5,000 views and one at two million has an arithmetic mean near 138,000, which makes every ordinary video score around 0.04x and the actual breakout score 14x. Both numbers are useless: the fourteen normal videos were not failures, and the hit did not do 14x, it did roughly 400x. The mean was pulled up by the very outlier you are trying to detect, which is precisely why a detector should never use it. The median is immune to that, and a median is what you should insist on seeing printed next to any score you are shown.
The last thing to be sceptical about is cross-channel outlier scoring, which is what most paid tools sell. Comparing a video to the median of a search result set mixes a two-million-subscriber channel with somebody's fourth upload, and the resulting multiple measures channel size at least as much as it measures the idea. It is still worth looking at — it is how you spot a format spreading through a niche before it saturates — but it answers “what is working here”, not “did this creator beat their own normal”. Those are different questions, and a tool that presents one answer for both is selling you confidence rather than information. This one keeps them in separate modes and labels the baseline for each.
Frequently asked questions
How outlier scoring actually works
An outlier is a video that beat the baseline it should be compared against, usually its own channel's median views. A 6x outlier did six times what that channel normally does, which is a signal about the packaging or the idea rather than about the channel's size. Raw view count cannot tell you this: 40,000 views is a failure on a channel that medians 900,000 and a breakout on one that medians 1,200.
More free tools
Spotting the Outlier is just the tip of the iceberg
Faceless does the part that follows: describe the format that worked and it generates, voices, edits and uploads videos in that shape to your channel on a schedule.
- Videos generated on autopilot
- Any niche, any format
- Posted to YouTube for you
Finding the outlier is easy. Making forty more of them is the constraint.
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