Fake engagement check for @pythonist_ru
Pythonist.ru - образование по питону — public reach metrics and manipulation-risk assessment dated 2026-08-14.
Pythonist.ru - помощь в подготовке к собеседованию на позицию Python Developer. Реклама: @anothertechrock РКН: https://rknn.link/car
Evidence snapshot
The @pythonist_ru assessment dated 2026-08-14 uses 40 recent public posts. At that snapshot the channel had 24,168 subscribers, median post views were 1,661, ERR was 6.9%, and the cleanliness index was 93/100.
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: about 794 views.
Reach of advertising posts
Advertising posts have a median of 1,636 views versus 1,740 for organic posts.
Based on 6 advertising and 33 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 @pythonist_ruQuestions about @pythonist_ru
What does grade A+ mean for @pythonist_ru?
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 @pythonist_ru?
ERR is 6.9%. Median post views equal 6.9% of the channel's 24,168 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 93/100 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.