Fake engagement check for @DrCosmo_care
DR COSMO care / Современная косметология и шопинг для твоей красоты — public reach metrics and manipulation-risk assessment dated 2026-08-18.
Рекламный менеджер: @Nastya889_pr Зарегистрирован в РКН: https://clck.ru/3QfK7z
Evidence snapshot
The @DrCosmo_care assessment dated 2026-08-18 uses 40 recent public posts. At that snapshot the channel had 145,426 subscribers, median post views were 79,953, ERR was 55.0%, and the cleanliness index was 45/100.
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: 56,757–76,746 views.
Reach of advertising posts
Advertising posts have a median of 73,022 views versus 79,953 for organic posts.
Based on 4 advertising and 36 organic posts older than two days.
What grade D means
The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.
This page shows the saved result dated 2026-08-18. 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 @DrCosmo_careQuestions about @DrCosmo_care
What does grade D mean for @DrCosmo_care?
The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.
What is the ERR of @DrCosmo_care?
ERR is 55.0%. Median post views equal 55.0% of the channel's 145,426 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 45/100 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.