Find out whether a channel's subscriber count is backed by real viewers. The free check compares subscribers with views per video and lifetime views in seconds; the AI Deep Check then reads recent uploads and their comments.
Find out whether a channel's subscriber count is backed by real viewers. The free check compares subscribers with views per video and lifetime views in seconds; the AI Deep Check then reads recent uploads and their comments.
ChamsPilot · Free Tools
Find out whether a channel's subscriber count is backed by real viewers. The free check compares subscribers with views per video and lifetime views in seconds; the AI Deep Check then reads recent uploads and their comments.
You cannot see who subscribes to a channel you do not own, but you can see what those subscribers do. Real subscribers watch; bought ones never do. These are the checks that expose a fake sub count.
The free check divides a channel's lifetime views by its video count and compares the result with subscribers. Under 1% of subscribers is flagged as a strong sign of bought subscribers, 1% to 3% as low, 3% to 15% as average and above 15% as healthy.
A channel's total views should be many times its subscriber count. More than 20 lifetime views per subscriber reads as strong reach; fewer than 1 on a channel above 100,000 subscribers is flagged, because an audience that size cannot exist without views.
Channels usually grow one upload at a time. The check flags more than 500,000 subscribers per published video as unusual growth, and treats more than 50,000 as a probable viral or celebrity channel rather than a verdict.
Bought subscribers do not comment. The AI Deep Check reads up to 25 top comments on each of up to 7 recent uploads and flags commenting channels created in the last 7 days, random-string channel names, self-promotion, and the same comment posted under several videos.
Purchased subscribers arrive in a burst and leave when YouTube removes them. When a channel has been checked on ChamsPilot before, the report compares the new numbers with the last check and flags subscribers up more than 20% while engagement fell more than 20%, or growth above 50% in under 30 days.
| Signal | Healthy | Flagged |
|---|---|---|
| Average views per video ÷ subscribers | above 15% (above 50% is outstanding) | under 3% is low; under 1% is a strong sign of bought subscribers |
| Lifetime views ÷ subscribers | more than 20 | fewer than 1 on channels above 100,000 subscribers |
| Subscribers per video | steady uploads, more than 20 videos | more than 500,000 subscribers per video |
| Median views of recent uploads ÷ subscribers (AI Deep Check) | 5% to 25% (1% to 15% above 1M subscribers) | under 5% (under 1% above 1M subscribers) |
These are the thresholds ChamsPilot's checker applies to YouTube channels, not an industry standard. The AI Deep Check uses the median views of recent uploads rather than the lifetime average, so one viral video cannot hide an inactive audience.
Public subscriber counts are abbreviated: YouTube shows 1,234 subscribers as 1.23K and 12,345,678 as 12.3M. Only the channel owner sees the exact number, in YouTube Studio under Analytics, Overview, then See live count on the Realtime card.
YouTube also removes spam subscribers and closed accounts from counts, so a number can drop overnight without anyone unsubscribing. If a creator quotes a big number, ask for a screen share of that live count, not a screenshot: a screenshot or a fake sub counter can show anything.
Watch time, retention and traffic sources are in YouTube Studio too. An outside checker, ours included, works from public numbers and comments.
YouTube's fake engagement policy bans buying views, likes or subscribers from third-party services, and subscribe-for-subscribe deals. Content that breaks the policy can be removed; a first violation is usually a warning, repeated violations bring strikes, and three strikes within 90 days end in channel termination.
Spam subscribers do not count toward a channel's total, which is why bought subscribers melt away in the weeks after a purchase. Sub4sub subscribers rarely watch either, so they drag down views per subscriber the same way bought ones do.
Two illustrative channels, scored with the rules the free check applies to YouTube. Channel B is not proven to have bought subscribers, but it is the kind of channel where you run the AI Deep Check before paying for a sponsorship: the report reads recent uploads and their comments, and every flag comes with the videos behind it.
| Channel A | Channel B | |
|---|---|---|
| Subscribers | 420,000 | 850,000 |
| Videos | 310 | 120 |
| Lifetime views | 9.8M | 700,000 |
| Views per video | 31,600, or 7.5% of subscribers: average | 5,800, or 0.7% of subscribers: extremely low, minus 12 |
| Lifetime views per subscriber | 23 · fewer than 92% of organic channels this size: minus 6 | 0.8 · fewer than 99% of organic channels this size: minus 20 |
| Upload history | steady: plus 3 | steady: plus 3 |
| Score and verdict | 62 · Needs Review | 36 · Suspicious Signals |
Every check starts at 65.
Most fake subscriber checkers show one ratio. The AI Deep Check reads what the subscribers actually do.
The channel's recent regular uploads, with Shorts, live streams and premieres left out because they collect views differently; their views, likes and comments; up to 25 top comments on each of up to 7 of those videos; and the public details of up to 50 commenting channels.
A ghost subscriber estimate from the median views of recent uploads against subscribers, where 5% to 25% is healthy (1% to 15% above a million subscribers); uploads more than 2.5 standard deviations above the channel's own engagement; view velocity by video age; and brand-new, random-named, spammy or duplicate commenters.
Code, not a language model, computes every number, the same way for every channel. The AI then writes the explanation in plain language and points out contradictions between the numbers; it never sets the score.
It cannot see YouTube Studio, watch time or the list of subscribers, and it does not remove anything or report channels. A low score means the evidence needs a closer look before money changes hands, not that subscribers were proven fake.
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4.8 / 5 · 1,252 ratings
These ratings cover this tool and the others built on the same engine. They come from people we have worked with and from visitors rating here. How we collect them
Compare the subscribers with what the videos get. When a channel with hundreds of thousands of subscribers averages a few thousand views per video, or its lifetime views are lower than its subscriber count, those subscribers are not watching. Paste the channel above: the free check grades views per video, lifetime views per subscriber and upload history in seconds.
Only the channel owner can, in YouTube Studio: Analytics, Overview, then See live count on the Realtime card. Everyone else sees an abbreviated public count, such as 1.23K or 12.3M. If a creator quotes an exact number, ask for a screen share of that live count rather than a screenshot.
YouTube regularly removes spam subscribers and closed accounts from subscriber counts. A sharp drop after a fast rise is a classic sign of subscribers that were bought and then removed, although every channel loses some closed accounts over time.
No. YouTube's fake engagement policy covers subscribe-for-subscribe exchanges as well as buying subscribers, views or likes. Content that breaks it can be removed, repeated violations bring strikes, and three strikes within 90 days end in channel termination.
No. Prank sub counters and edited screenshots can display any number. The only exact count is the live count in the owner's YouTube Studio, and even public counts are rounded. To judge whether subscribers are real, look at what they do: views, likes and comments.
Nobody outside YouTube can count them exactly, and YouTube publishes no per-channel figure. It removes spam subscribers from counts continuously, so what a checker can do is test whether the remaining subscribers behave like viewers.
They add nothing: no views, no watch time, no comments. A channel with many silent subscribers shows weak views per subscriber, which is exactly what brands check, and buying them breaks YouTube's fake engagement policy.
Partly. When a channel hides its subscriber count, the ratios that depend on it cannot be computed, but the AI Deep Check can still read recent uploads, their engagement and their comments.
Between 1,230 and 1,239 subscribers. Once a channel passes 1,000, YouTube shortens the public count: 1,234 shows as 1.23K and 1,234,567 as 1.23M, and at 1.23K the number only moves every 10 subscribers. YouTube in other languages shortens it the same way with its own abbreviation. Only the owner sees the exact count, in YouTube Studio; every ratio on this page works from the shortened figure, which is close enough.
Often, yes. YouTube says it regularly checks that the accounts and actions on a channel are legitimate, and that spam subscribers, such as ones bought from a third-party service, and closed accounts do not count toward the total. That is why a bought subscriber count tends to shrink after a purchase. What remains still shows from outside: subscribers who never watch leave views far below the subscriber count.
This one is: you type a channel name or paste its link, nothing is installed, no YouTube or Google account is connected and no password is asked for. It reads only what YouTube shows publicly. Be wary of any checker that asks you to sign in with Google to look at someone else's channel: it does not need that access.
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