Home › Blog

How to Spot Fake YouTube Subscribers and Views

Someone hands you a channel to check: a big subscriber count, views that don't match it, and the question of whether you're looking at fake subscribers and views or just an ordinary channel having a slow month. The fastest tell is one division: views a typical video pulls, divided by subscriber count. Among the channels we actively score, that ratio usually sits around 2.15, and only the bottom 10% fall under 1.11. Plenty of subscribers, but the typical video comes nowhere near that count in views, and that's worth stopping on.

Why the channel page alone can't tell you if the numbers are bought#

A subscriber count is just a running total of everyone who's ever clicked subscribe; it says nothing about whether the channel still pulls in new viewers today. The page also can't show where those views come from (search, suggested, browse, external), a breakdown that lives inside YouTube Studio, visible only to the owner. So a guide telling you to "check the traffic source" describes a step an outsider can't perform.

This is about reading someone else's channel from the outside. If it's your own channel pulling views but not converting them into subscribers, that's a different problem: that's usually a niche or traffic-source story, not fraud.

The one division that catches fake subscribers: typical video views ÷ subscriber count#

How many views a normal video gets, compared to the channel's subscriber count. A genuinely growing channel pulls views well past its own subscriber count, because new viewers keep finding it. People who track this call it the view-to-subscriber ratio, or VSR. Use the median of the last 10 videos — what a typical upload gets, not the average — since one viral video skews an average and hides what's normal.

Viddar tracks more than 33 million YouTube channels as of August 2026. Narrow that to the ones it actively scores (at least 1,000 subscribers, long-form, still active, VSR on file) and you get 125,692 channels, as of August 2, 2026: not "all of YouTube," a group already skewed toward channels still alive and doing well. Here's where a typical channel lands:

Read the middle row first: a healthy channel pulls about 2.15 views per subscriber, more than double its sub count. Drift left and a normal video barely clears its own subscriber count. Past the table's left edge, it stops clearing at all.

Where the number turns suspicious, and why low doesn't mean fraud#

Below roughly 1.0 is where it's worth stopping: a typical video pulling fewer views than the channel has subscribers, already under the bottom 10% above.

Narrow the same pool to channels with at least 10,000 subscribers (18,396 of them): 244, or 1.33%, sit under a ratio of 1.0. Treat that as a floor: the sample skews toward channels still posting regularly, least likely to include one that bought subscribers years ago and went dormant. The real share sitting out there dark is almost certainly higher, only confirming the pattern is real, not a one-off.

Low ratios alone don't convict anyone. Ordinary reasons land channels here too: an older audience that moved on, a niche pivot rebuilding trust, one old viral video with nothing since, or Shorts views mixed into a long-form base. One number is a reason to look closer, not a verdict.

Four cross-checks an outsider can actually run#

None of these prove anything alone: they're patterns worth a look once a channel's ratio already reads low.

1. Subscribers climbing in steps instead of a smooth curve. Real growth tracks upload frequency and performance; a flat line jumping by hundreds or thousands overnight, then flattening again, is easier to spot on a growth chart. Social Blade shows that history for free, though even its paid tiers only show the two raw numbers side by side — never dividing one by the other for you.
2. Likes and comments that don't scale with views. A view is cheap to buy; matching engagement is harder to fake, so a large view count next to a handful of likes is worth a second look.
3. Comments that read generic and repeat across videos. Open three different uploads' comment tabs for a line that repeats word-for-word under more than one.
4. Views stacked on a handful of old videos while recent uploads go nowhere. Sort the Videos tab by Most popular; that pattern fits a channel that bought views once, not one still growing.

What YouTube actually does about bought subscribers and views#

This part isn't guesswork. YouTube's fake engagement policy bans third-party services that inflate views, likes, or subscribers and sub-for-sub arrangements alike, and holds the owner responsible even when the inflation was outsourced. A first violation gets a warning; three strikes inside 90 days and the channel may be terminated — "may," not "will." Separately, YouTube can flag a channel's traffic itself as invalid: activity that isn't from a real, interested viewer, including traffic bought from "boosting" services. The consequences are the same either way: limited ads, suspended AdSense, or payouts held up to 90 days during an investigation.

YouTube has also gone back and removed fake subscribers more than once: a December 13–14, 2018 purge of spam accounts forced channels that dropped below 1,000 subscribers to reapply for Partner Program access, and the December 3–4, 2019 purge of closed accounts trimmed an average of fewer than 15 subscribers per affected channel, a dated pattern of YouTube auditing subscriber counts rather than trusting them blindly.

In Vietnam, VnExpress reported in 2020 that the packages on sale were sized to exactly those numbers: 1,000 fake subscribers in one, 4,000 fake watch hours in another, the two thresholds YPP's long-form path requires. Too close to be a coincidence: that pricing exists to clear the monetization door, not to build an audience.

The final check: is the channel even monetized#

If buying subscribers is really about clearing the Partner Program gate, the real question is whether the channel actually cleared it.

Viddar's monetization checker answers that for any public channel, free, by handle. Know its limits: it reads public signals, so it won't catch sponsorships, affiliate deals, or memberships outside AdSense; it's weaker on Shorts-only channels; it doesn't run for channels under 1,000 subscribers; and results can be cached, so a very recent change might not show yet. Treat it as a data point, not a guarantee: it isn't right 100% of the time, and it's meant to sit alongside the ratio check above, not replace it.

Worth knowing before leaning on that gap too hard: in the same cohort from earlier, channels in the bottom VSR band are monetized about 64.3% of the time, as this signal reads it, against roughly 70–72% for channels in the healthy middle bands. Channels with an extreme VSR at the very top dip to around 67% too — likely a younger group that hasn't all cleared the monetization gate yet. That bottom-band gap is real, but small — a mild lean, not proof that channels with bought numbers rarely make it through. That tracks with the honesty point from earlier: a low ratio has too many ordinary explanations for monetization status to sort them out on its own. VSR tells you whether the numbers look real; it doesn't tell you whether a channel is even monetized — check both before you take anyone's channel at face value.

A six-step check before you decide#

Run it top to bottom on any channel you're not sure about:

• Pull the median views of the channel's last 10 videos
• Divide that number by its current subscriber count
• Compare it against the ranges above: under 1.11 is already unusual for an active long-form channel
• Check the subscriber history for step-like jumps instead of a smooth curve
• Check whether likes, comments, and views move together, and whether comments repeat
• Check whether the channel is actually monetized

A ratio outside that range buys you one thing: the right to be skeptical until something else in the channel explains it. Run the number before taking someone's word for anything it was supposed to prove: buying their channel, buying their course, copying their exact formula.