Fake engagement check for @oper_goblin
Tynu40k Goblina (oper.ru) — public reach metrics and manipulation-risk assessment dated 2026-08-14.
Официальный канал сайта oper.ru РКН заявка #4939012070 По вопросам рекламы @oper_rek
Evidence snapshot
The @oper_goblin assessment dated 2026-08-14 uses 40 recent public posts. At that snapshot the channel had 497,214 subscribers, median post views were 81,609, ERR was 16.4%, and the cleanliness index was 95/100.
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: 32,488–49,003 views.
Reach of advertising posts
Advertising posts have a median of 90,919 views versus 86,588 for organic posts.
Based on 3 advertising and 19 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 2026-08-14. 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 @oper_goblinQuestions about @oper_goblin
What does grade A+ mean for @oper_goblin?
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 @oper_goblin?
ERR is 16.4%. Median post views equal 16.4% of the channel's 497,214 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 95/100 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.