Fake engagement check for @unknown_piter
Незнакомый Петербург — public reach metrics and manipulation-risk assessment dated 2026-08-19.
Крупнейший познавательный канал про Санкт-Петербург По рекламе: @alex_petersburg (оплата только сюда) Менеджеры: @arkadmin @Tgpodbor_official @Spiral_Yuri Доп. менеджеры: @salesrek Регистрация в РКН: https://clck.ru/3EoMMx
Evidence snapshot
The @unknown_piter assessment dated 2026-08-19 uses 40 recent public posts. At that snapshot the channel had 88,261 subscribers, median post views were 1,265, ERR was 1.4%, 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: not recommended.
A small share of subscribers sees each post, limiting likely advertising reach.
Estimated 48-hour reach: 1,162–1,740 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.
This page shows the saved result dated 2026-08-19. 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 @unknown_piterQuestions about @unknown_piter
What does grade C mean for @unknown_piter?
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 @unknown_piter?
ERR is 1.4%. Median post views equal 1.4% of the channel's 88,261 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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Other checked channels
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.