Fake engagement check for @real_video_client
Видеомонтаж AI - ВАКАНСИИ 🎬 — public reach metrics and manipulation-risk assessment dated 2026-08-14.
📌 Бесплатно выложить/удалить вакансию, сообщить о мошеннике, по рекламе, разбан: @alex_kedrin_v 📌 Канал для резюме: @real_video_rezume 📌 Купить рекламу: https://telega.in/c/real_video_client
Evidence snapshot
The @real_video_client assessment dated 2026-08-14 uses 40 recent public posts. At that snapshot the channel had 8,263 subscribers, median post views were 3,673, ERR was 44.5%, 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: 675–1,349 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 2026-08-14. 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 @real_video_clientQuestions about @real_video_client
What does grade D mean for @real_video_client?
The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.
What is the ERR of @real_video_client?
ERR is 44.5%. Median post views equal 44.5% of the channel's 8,263 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.
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.