With a median of around 6.9 thousand views, only 0.08% of readers leave reactions, and comments are closed — the feed acts as a passive archive of educational materials without live interaction. Combined with the cessation of publications more than a month ago, advertising here seems questionable, as a passive audience is unlikely to deliver conversions.
Compared with similar channels
Compared with 7 checked Education channels with no visible signs of manipulation.
They are a similar size: 16,542 to 84,579 subscribers.
ERR (reach)higher than 5 of 7
16.4% for @Udemy_Learningsimilar channels median: 9.8%
Reactions per 100 viewslower than 6 of 6
0.08 for @Udemy_Learningsimilar channels median: 0.3
This is not a niche norm: only channels checked by the service are included. An unusually high ERR can also be a sign of inflated views.
How the assessment was produced
Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-10
Sample
The latest 40 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 @Udemy_Learning assessment dated 2026-09-10 uses 40 recent public posts. At that snapshot the channel had 42,375 subscribers, median post views were 6,947, ERR was 16.4%, and the cleanliness index was 55/100.
Limitations
This is a probabilistic assessment based on public data, not proof of intentional manipulation or a real-time channel measurement.
What risk level was identified for the channel @[скрыто]?
The channel has a moderate risk score of 45 out of 100 due to a pronounced imbalance between views and engagement.
What are the real reach and reader activity?
The median view count is 6,947 per post (ERR around 16.4%), but fewer than 0.1% of readers leave reactions, and the feed has been inactive for over 35 days.
Is it advisable to buy ads on this platform?
Placement is considered questionable due to the passivity of the subscriber base and the lack of recent publications, which lowers the likelihood of ad returns.
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