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Fake engagement check for @molodibogat_official

MOLODIBOGAT🦄 — public reach metrics and manipulation-risk assessment dated 2026-08-19.

Стример, немного исполнитель (на 57%), филантроп и просто натурал. По вопросам и предложениям ЛС канала.

50/100
cleanliness index
Grade D
some signals require caution
Subscribers
158733
Median views
104605
ERR
65.9%
Posts sampled
40
Niche
Entertainment

Evidence snapshot

The @molodibogat_official assessment dated 2026-08-19 uses 40 recent public posts. At that snapshot the channel had 158,733 subscribers, median post views were 104,605, ERR was 65.9%, and the cleanliness index was 50/100.

Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.

Advertising outlook

Advertising placement: questionable.

The recommendation is limited by manipulation risk: some views may be artificial.

Estimated 48-hour reach: 52,598–105,196 views.

What grade D means

The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.

Run a fresh check for @molodibogat_official

This page shows the saved result dated 2026-08-19. The bot collects a new snapshot for a current report.

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Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.

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Questions about @molodibogat_official

What does grade D mean for @molodibogat_official?

The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.

What is the ERR of @molodibogat_official?

ERR is 65.9%. Median post views equal 65.9% of the channel's 158,733 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 50/100 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.

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