Fake engagement check for @maxrubitbablo
Бабло от Макса🍀 — public reach metrics and manipulation-risk assessment dated 2026-08-19.
“Все способы заработать — от инвестиций до простых проектов без вложений.”
Evidence snapshot
The @maxrubitbablo assessment dated 2026-08-19 uses 40 recent public posts. At that snapshot the channel had 25,057 subscribers, median post views were 716, ERR was 2.9%, and the cleanliness index was 55/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: not recommended.
A small share of subscribers sees each post, limiting likely advertising reach.
Estimated 48-hour reach: 576–645 views.
Reach of advertising posts
Advertising posts have a median of 748 views versus 787 for organic posts.
Based on 10 advertising and 8 organic posts older than two days.
What grade C means
Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.
This page shows the saved result dated 2026-08-19. 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 @maxrubitbabloQuestions about @maxrubitbablo
What does grade C mean for @maxrubitbablo?
Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.
What is the ERR of @maxrubitbablo?
ERR is 2.9%. Median post views equal 2.9% of the channel's 25,057 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 55/100 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.