Fake engagement check for @iphonesru
iPhones.ru — public reach metrics and manipulation-risk assessment dated 2026-08-21.
Самое свежее и интересное в мире Apple. 🗣 Форум: @iphonesru_forum ⚡️ Предложить новость: @iphonesreport_bot 📢 По вопросам рекламы: @lenta_adv ✍️ Реестр: https://knd.gov.ru/license?id=673c5cf0340096358bb42478®istryType=bloggersPermission
Evidence snapshot
The @iphonesru assessment dated 2026-08-21 uses 40 recent public posts. At that snapshot the channel had 64,174 subscribers, median post views were 8,569, ERR was 13.4%, 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: 6,260–8,486 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 2026-08-21. 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 @iphonesruQuestions about @iphonesru
What does grade A+ mean for @iphonesru?
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 @iphonesru?
ERR is 13.4%. Median post views equal 13.4% of the channel's 64,174 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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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.