Fake engagement check for @elixproject
💧 elix — public reach metrics and manipulation-risk assessment dated 2026-08-11.
Средство для безопасного подключения к интернету 💧 elix Бот — @elixrobot Техподдержка — @elixsuppbot
Evidence snapshot
The @elixproject assessment dated 2026-08-11 uses 40 recent public posts. At that snapshot the channel had 17,651 subscribers, median post views were 8,293, ERR was 47.0%, 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: 6,680–8,750 views.
Reach of advertising posts
Advertising posts have a median of 7,923 views versus 8,442 for organic posts.
Based on 3 advertising and 37 organic posts older than two days.
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 2026-08-11. 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 @elixprojectQuestions about @elixproject
What does grade D mean for @elixproject?
The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.
What is the ERR of @elixproject?
ERR is 47.0%. Median post views equal 47.0% of the channel's 17,651 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.
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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.