Fake engagement check for @bitkogan
bitkogan — public reach metrics and manipulation-risk assessment dated 2026-08-17.
Инвестбанкир Евгений Коган и его команда — о мире инвестиций, экономике и будущем https://knd.gov.ru/license?id=673b63bd340096358bb0453d®istryType=bloggersPermission Реклама и PR: @bitkogan_ads Events: @kseniafff Все вопросы: @bitkogan_official_bot
Evidence snapshot
The @bitkogan assessment dated 2026-08-17 uses 40 recent public posts. At that snapshot the channel had 261,333 subscribers, median post views were 30,423, ERR was 11.6%, and the cleanliness index was 70/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: reasonable.
Estimated 48-hour reach: 20,979–24,294 views.
Reach of advertising posts
Advertising posts have a median of 31,753 views versus 31,293 for organic posts.
Based on 4 advertising and 33 organic posts older than two days.
What grade B means
The channel is generally clean, with a few weak warning signals. Run a fresh check before a large advertising purchase.
This page shows the saved result dated 2026-08-17. The bot collects a new snapshot for a current report.
Monitor this channel
Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.
Monitor @bitkoganQuestions about @bitkogan
What does grade B mean for @bitkogan?
The channel is generally clean, with a few weak warning signals. Run a fresh check before a large advertising purchase.
What is the ERR of @bitkogan?
ERR is 11.6%. Median post views equal 11.6% of the channel's 261,333 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 70/100 index combines several public-data signals, including reach relative to audience size, audience behavior, and channel metadata. It is a probabilistic assessment, not proof of intentional manipulation.
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This automated assessment is probabilistic. It describes statistical signals in public data and does not claim intentional manipulation. Channel owners can run a new check or contact support to request removal.