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Fake engagement check for @mukhinss

Mukhins — public reach metrics and manipulation-risk assessment dated 2026-08-24.

https://mukhins.com По вопросам сотрудничества: @valterkm РКН: https://knd.gov.ru/license?id=676e16181e4e233a718f4303&registryType=bloggersPermission

90/100
cleanliness index
Grade A
low manipulation risk
Subscribers
55009
Median views
3103
ERR
5.6%
Posts sampled
40
Niche
Lifestyle

Evidence snapshot

The @mukhinss assessment dated 2026-08-24 uses 40 recent public posts. At that snapshot the channel had 55,009 subscribers, median post views were 3,103, ERR was 5.6%, and the cleanliness index was 90/100.

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: 2,222–3,202 views.

What grade A means

The channel looks clean in the available public data. The remaining uncertainty comes from the limits of public Telegram metrics.

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This page shows the saved result dated 2026-08-24. 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 @mukhinss

What does grade A mean for @mukhinss?

The channel looks clean in the available public data. The remaining uncertainty comes from the limits of public Telegram metrics.

What is the ERR of @mukhinss?

ERR is 5.6%. Median post views equal 5.6% of the channel's 55,009 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 90/100 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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