Fake engagement check for @einstein_randomfact
Σ I N S Ŧ Ɇ I N — public reach metrics and manipulation-risk assessment dated 2026-08-11.
Логика приведет вас из пункта А в пункт Б. Воображение - куда угодно Реклама/Сотрудничество - @a_peev Саппорт - @Lead1Zakup
Evidence snapshot
The @einstein_randomfact assessment dated 2026-08-11 uses 39 recent public posts. At that snapshot the channel had 11,150 subscribers, median post views were 1,258, ERR was 11.3%, 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: reasonable.
Estimated 48-hour reach: about 1,144 views.
Reach of advertising posts
Advertising posts have a median of 1,255 views versus 1,269 for organic posts.
Based on 3 advertising and 35 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 2026-08-11. 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 @einstein_randomfactQuestions about @einstein_randomfact
What does grade A+ mean for @einstein_randomfact?
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 @einstein_randomfact?
ERR is 11.3%. Median post views equal 11.3% of the channel's 11,150 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.