Fake engagement check for @bezsmuzi
Русский ИТ бизнес — public reach metrics and manipulation-risk assessment dated 2026-07-07.
Рассказываю как строю свой ИТ-бизнес в России без "маркетинговой чепухи". Ежедневно делюсь нашим опытом и неудачами. Автор - @maximkulgin Чат, где все обсуждаем: https://t.me/joinchat/C8jihRK_eQ1_SIFtzgOZLQ https://clck.ru/3GX4rp - РКН
Evidence snapshot
The @bezsmuzi assessment dated 2026-07-07 uses 40 recent public posts. At that snapshot the channel had 31,195 subscribers, median post views were 2,414, ERR was 7.7%, and the cleanliness index was 99/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: questionable.
Posts are published very frequently, so an advertisement may move down the feed quickly.
Estimated 48-hour reach: 1,719–1,761 views.
What grade A+ means
The channel shows almost no signs of manipulated engagement. Its public reach and audience activity are consistent with the subscriber count.
This page shows the saved result dated 2026-07-07. 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 @bezsmuziQuestions about @bezsmuzi
What does grade A+ mean for @bezsmuzi?
The channel shows almost no signs of manipulated engagement. Its public reach and audience activity are consistent with the subscriber count.
What is the ERR of @bezsmuzi?
ERR is 7.7%. Median post views equal 7.7% of the channel's 31,195 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 99/100 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.
Other checked channels
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.