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Fake engagement check for @alenamum

Алёна life про материнство, саморазвитие и уют — public reach metrics and manipulation-risk assessment dated 2026-08-07.

О семейных буднях, детском развитии, саморазвитии, полезных обзорах для всей семьи и интересных мест в Москве, РФ и не только Купить рекламу на канале: @AlenaShcher https://knd.gov.ru/license?id=677059334de6c3684521290c&registryType=bloggersPermission

55/100
cleanliness index
Grade C
some signals require caution
Subscribers
43854
Median views
34737
ERR
79.2%
Posts sampled
40
Niche
Other

Evidence snapshot

The @alenamum assessment dated 2026-08-07 uses 40 recent public posts. At that snapshot the channel had 43,854 subscribers, median post views were 34,737, ERR was 79.2%, 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: questionable.

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

Estimated 48-hour reach: about 18,523 views.

What grade C means

Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.

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This page shows the saved result dated 2026-08-07. 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 @alenamum

What does grade C mean for @alenamum?

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 @alenamum?

ERR is 79.2%. Median post views equal 79.2% of the channel's 43,854 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.

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