Fake engagement check for @bara49
Second — public reach metrics and manipulation-risk assessment dated 2026-09-18.
checked 2026-09-18
- Subscribers
- 1,784
- Median views
- 6,157
- ERR
- 345.1%
- Posts sampled
- 20
Assessment summary
A low risk score confirms the absence of explicit artificial inflation: the 345% reach is driven by viral forwards of quotes to external chats. However, placing ads right now is questionable solely due to inactivity — the author explicitly announced a hiatus, and there have been no new posts for over a month.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-09-18
- Sample
- The latest 20 public posts available at check time.
- Calculation method
- TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
- Factual result
- The @bara49 assessment dated 2026-09-18 uses 20 recent public posts. At that snapshot the channel had 1,784 subscribers, median post views were 6,157, ERR was 345.1%, and the cleanliness index was 93/100.
- Limitations
- This is a probabilistic assessment based on public data, not proof of intentional manipulation or a real-time channel measurement.
Advertising outlook
Advertising placement: questionable.
The channel has gone quiet — ask the owner when the next post is due.
About 3,079–5,575 people will see your post in the first 48 hours.
Reach of advertising posts
No advertising posts among the latest 20.
What grade A+ means
Almost no signs of manipulation: reactions look real and reach matches the subscriber count. The safest place for ads.
What to pay attention to
High reach driven by external forwards: ERR ≈ 345%
Views exceed the subscriber base, but this looks organic rather than inflated: view counts fluctuate significantly from post to post, and reactions are genuine. This is typical for content that is actively forwarded to external chats (work groups, aggregators) or goes viral outside the channel.
Dynamics and anomalies
Views by post
The latest 20 posts with views, from Jul 29 to Aug 17. The dashed line is the median (6,157).
- post views
- median 6,157
Maximum: 19,672 views. Data as of Sep 18.
What scoring found in the view pattern
High reach driven by external forwards: ERR ≈ 345%
Views exceed the subscriber base, but this looks organic rather than inflated: view counts fluctuate significantly from post to post, and reactions are genuine. This is typical for content that is actively forwarded to external chats (work groups, aggregators) or goes viral outside the channel.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
The channel has been checked once — the chart will appear after the next check.
Data from 2026-09-18 — 2 days old. Check the channel today before buying ads.
Buy advertising
No signs of manipulation. You can buy ads on these marketplaces — they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
Monitor this channel
The bot will recheck @bara49 and message you if reach drops, subscribers jump, or the cleanliness index changes.
Monitor @bara49Questions about @bara49
Is the channel safe from an artificial inflation perspective?
Yes, the risk score is only 7 out of 100. There are no signs of bots, and reactions as well as view dynamics look organic.
Why do views significantly exceed the number of subscribers?
An ERR of around 345% is explained by the viral format of lad quotes. The content was actively reposted and forwarded to third-party chats and channels.
Is it advisable to buy ads on this channel?
Placement is marked as questionable: the feed is inactive, the last post was published 31 days ago with a warning about a hiatus. Until the channel revives, audience attention cannot be guaranteed.
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