Fake engagement check for @Kr_Luch_PROvse
Красный Луч ЛЕНТА НОВОСТЕЙ И ОБСУЖДЕНИЙ — public reach metrics and manipulation-risk assessment dated 2026-08-18.
Мы ВКонтакте https://vk.com/kr_luch_provse Чат для общения https://t.me/Kr_Luch_PROvse_Chat Прислать Новость @Sekretarj По рекламе @Sekretarj Мы в Мах https://max.ru/join/tUPqf7AXTLD5oDPirHwVwNgY6ssx0ptjPjkAGiruyNI
Evidence snapshot
The @Kr_Luch_PROvse assessment dated 2026-08-18 uses 40 recent public posts. At that snapshot the channel had 8,932 subscribers, median post views were 812, ERR was 9.1%, and the cleanliness index was 100/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: questionable.
Posts are published very frequently, so an advertisement may move down the feed quickly.
Estimated 48-hour reach: 780–846 views.
What grade A+ means
The channel shows almost no signs of manipulated engagement. Its public reach and audience activity are consistent with the subscriber count.
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 @Kr_Luch_PROvseQuestions about @Kr_Luch_PROvse
What does grade A+ mean for @Kr_Luch_PROvse?
The channel shows almost no signs of manipulated engagement. Its public reach and audience activity are consistent with the subscriber count.
What is the ERR of @Kr_Luch_PROvse?
ERR is 9.1%. Median post views equal 9.1% of the channel's 8,932 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 100/100 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.