Fake engagement check for @anna_spolzoy
Нутрициолог Анна Ахвердян | @anna_spolzoy — public reach metrics and manipulation-risk assessment dated 2026-08-15.
Анна Геворговна - дипломированный нутрициолог и косметолог 🌱 Здесь - без диет, таблеток и «марафонов на износ» Помогаю женщинам восстановить организм, сбросить лишний вес и жить полной жизнью Роскомнадзор № 7716630824
Evidence snapshot
The @anna_spolzoy assessment dated 2026-08-15 uses 38 recent public posts. At that snapshot the channel had 10,040 subscribers, median post views were 5,214, ERR was 51.9%, 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: 3,878–4,247 views.
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 2026-08-15. 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 @anna_spolzoyQuestions about @anna_spolzoy
What does grade D mean for @anna_spolzoy?
The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.
What is the ERR of @anna_spolzoy?
ERR is 51.9%. Median post views equal 51.9% of the channel's 10,040 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.