Fake engagement check for @kolezev
Колезев ☮️ — public reach metrics and manipulation-risk assessment dated 2026-08-24.
Дмитрий Колезев, журналист и блогер. Ural VPN: @ural_vpnbot Мой бот с дайджестами новостей: @digest_dk_bot Информация обо мне и все ссылки: https://kolezev.com По рекламе: adkolezev@gmail.com
Evidence snapshot
The @kolezev assessment dated 2026-08-24 uses 40 recent public posts. At that snapshot the channel had 60,114 subscribers, median post views were 20,232, ERR was 33.7%, and the cleanliness index was 94/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: reasonable.
Estimated 48-hour reach: 10,050–12,277 views.
Reach of advertising posts
Advertising posts have a median of 20,286 views versus 20,421 for organic posts.
Based on 3 advertising and 34 organic posts older than two days.
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 2026-08-24. 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 @kolezevQuestions about @kolezev
What does grade A+ mean for @kolezev?
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 @kolezev?
ERR is 33.7%. Median post views equal 33.7% of the channel's 60,114 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 94/100 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.