Русский
EnglishYouTube Fake Views Checker
Paste a channel link – we will show whether there are signals of bought views, likes and comments. We use public YouTube data, so you can check any channel.
What the result looks like
Two real channels checked with this tool on November 13, 2026 using public data, just like any channel you paste, Lyudi PRO also with YouTube Studio connected, and a demo channel with signs of bought engagement.
Two ways to check
Public data – free, no sign-up
Views and likes on the last 30 videos, recent comments under three videos, sign-up dates of up to 150 commenters. Use it to check a creator before an ad deal, a collab partner or a channel before you buy it.
With YouTube Studio connected – for your own channel
Adds signals only the owner can see: average view percentage, traffic sources, countries. The channel gets a "Verified by Studio" badge in its media kit, so brands do not have to take your word for it.
See the Lyudi PRO with Studio tab in the examples above: the same channel with 28 days of Studio data, and a group of signals that public data does not have appears at the bottom of the result.
How it differs from typical checkers
| Typical checkers | Bloggers.tools | |
|---|---|---|
| Likes and comments | One "norm" for everyone, e.g. likes from 1% | We compare the channel’s videos with the channel itself. Hour-long interviews get fewer likes than short videos – that is not fraud |
| Which comments we read | Top comments only | Both recent and top comments. For top comments we check their likes: bot comments get pushed up, but real viewers do not like them |
| Result | "Fraud probability" with no breakdown | A 0–100 risk index and every signal with its threshold and explanation |
| Owner data | Not used | Average view percentage, traffic sources and countries from Studio for connected channels |
| If the result looks wrong | Write to support | Connect Studio and get a badge in your media kit |
Methodology: the signals we check
Signals fall into five groups. Each gets a status: "fine", "question" or "strong signal". Thresholds are a starting point: we refine them as we run more checks and note every change here.
| Signal | What it means | Threshold |
|---|---|---|
| Views per subscriber, all time | Many subscribers but few views each – subscribers may not have come as viewers | question below 30, strong below 15 (half for channels under a year old) |
| Spread of long-video views | Views that are too even look like identical packages | question below 0.35, strong below 0.2 |
| Outlier videos | A video 50+ times above the channel’s usual level: bought views and ad-promoted videos look the same | question – 1–2 videos, strong – 3 or more |
| Median views to subscribers | A very low share on a large channel | question below 1% for channels with 100K+ |
| Subscribers per public video | A million subscribers with 10–30 videos – how bought subscribers look (or a celebrity with their own audience) | question above 10,000, strong signal above 40,000 (200K+ subscribers) |
| Signal | What it means | Threshold |
|---|---|---|
| Videos with views but no likes | 1.5× the usual views (and at least 1,000), but less than 40% of the channel’s usual like share | question – 1–2 videos, strong – 3 or more |
| Like share (median) | Only extreme values – there is no single norm | question below 0.4%, strong below 0.25% |
| Comments per 1,000 views | Only extreme values | question below 0.2, strong below 0.1 |
| Spread of like share between videos | The same share everywhere – likes bought to match views | question below 0.15, strong below 0.08 |
| Signal | What it means | Threshold |
|---|---|---|
| Repeated comments | Identical texts from different accounts | question above 8%, strong above 15% |
| Short praise with no substance | Up to 8 words and only praise or emoji | question above 20%, strong above 35% |
| Recent comments with zero likes | Real viewers like other comments, bot comments get none | question above 88%, strong above 95% |
| Likes on top comments | Total likes on the 10 top comments per 100K video views | question below 60, strong below 25 |
| Comments turned off | The audience cannot be checked through comments | question – off on 80%+ of videos |
| Latin letters inside Cyrillic words | Bots swap letters to get past filters | question above 5%, strong above 10% |
| Links and "DM me on Telegram" | Spam bots – a risk for viewers, not a sign of creator fraud | question above 5%, strong above 12% |
| Signal | What it means | Threshold |
|---|---|---|
| Accounts younger than 90 days | Bots are usually fresh accounts | question above 15%, strong above 30% |
| Accounts younger than 2 years | A live audience has about one in ten | question above 25%, strong above 40% |
| Created within the same 30 days | Bot batches are registered at once | question above 12%, strong above 20% |
| Signal | What it means | Threshold |
|---|---|---|
| Average view percentage of long videos | Bought views are barely watched | question below 15%, strong below 8% |
| External and unknown sources | Bought views are often pushed from third-party sites and "direct" links | question above 25%, strong above 45% |
| Views from YouTube ads | Not fraud, but such views are cheaper and watched less | question above 20%, strong above 40% |
| Countries untypical for a Russian-language channel | India, Bangladesh, Pakistan, Indonesia, Vietnam, the Philippines, Egypt, Nigeria, Brazil | question above 10%, strong above 25% |
How we calculate the risk index
Points
Each signal has a weight: from 4 for spam to 15 for videos with views but no likes. A strong signal gives its full weight, a question gives half. The index is the share of points scored out of the signals computed, from 0 to 100.
Upper limits
Without strong signals the index cannot exceed 49. Above 74 only if strong signals appear in at least two groups: one odd metric does not make a channel fake.
Lower limits
One strong signal – at least 25; one strong signal plus questions in two more groups, or two strong signals – at least 35. Strong signals in two groups, or signals in three groups with two strong ones – at least 50; strong signals in three groups – at least 75. Latin letters in every fifth comment – at least 50.
| Index | What we say |
|---|---|
| 0 | No risk signals – none fired |
| 0–24 | Almost no risk signals |
| 25–49 | Some questions |
| 50–74 | Many risk signals |
| 75–100 | Risk signals in several groups |
What the check cannot do
- Public data only unless the channel is connected: traffic sources and watch time are visible to the owner only.
- Careful fraud on top of a real audience may go unnoticed – the check is built for obvious packages of views, likes and bots.
- A video promoted with Google Ads can look like bought views: many views, few likes. That is why it is a "question", not a verdict.
- A channel can be inflated without the creator knowing – for example, by competitors or a dishonest contractor.
- The index is a risk estimate, not proof. Make ad decisions together with the media kit and Studio statistics.
- Channels under 1,000 subscribers or with fewer than 8 long videos older than a week are not scored: there is too little data.
Advertise with creators who have a real audience
On the Bloggers.tools ad marketplace, channels have media kits with statistics from YouTube Studio. Run the fake views check before the deal.
Methodology v1, November 13, 2026. Data: public YouTube pages and, for connected channels, YouTube Studio. The index is a risk estimate, not proof of fraud.
What people say about Bloggers.tools
Now I know what to fix first
I finally figured out what to look at in analytics and what to fix first. After the consultation it became much clearer how to run the channel from here.
It wasn’t the editing
I thought the main problem was the editing, but the review raised more questions about my video topics and titles. The report used examples from my own channel to show where viewers lose interest. I’ve already acted on some of the recommendations and am rolling out the rest gradually.
Now there’s a plan
I was releasing videos regularly, but over time I stopped understanding why some got views while others were barely watched. That’s why I ordered the audit. The breakdown of specific videos was the most useful part: I could match the comments with the numbers and see exactly what needed to change. There were also a few interesting observations about competitors. The report is extensive – you won’t implement it all in one evening. During the consultation I cleared up the unclear points and decided which changes to start with. It’s too early to judge channel growth, but at least now I have a consistent plan.
Checked a channel?
Tell us whether the check helped before an ad deal or a collab – we’ll publish your review on the site.
Write a review →Frequently asked questions
Everything about the fake views check: what it costs, what it looks at and what to do if the result looks wrong.
How much does the check cost?
The public-data check is free and needs no sign-up. Connecting Studio is free too.
Can I check a Shorts-only channel?
Not yet: view and engagement signals are based on long videos. We will add a separate Shorts check.
Why does a well-known channel have a low like share but an index of 0?
Because there is no single norm: hour-long videos get fewer likes than short ones. We look at whether individual videos stand out from the channel itself, and absolute thresholds apply only to extreme values.
What if the result looks wrong?
Connect your channel on Bloggers.tools: the check is recalculated with Studio data, and brands see the result in your media kit.
Will there be a check for Instagram and TikTok?
Yes, with the same methodology. For Instagram – with a connected professional account: without it the key data is not available.
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Should you check a creator before an ad deal?
Ask an assistant – it opens with a ready question about the Bloggers.tools fake views checker.