Fake engagement check for @RationalAnswer
RationalAnswer | Павел Комаровский — public reach metrics and manipulation-risk assessment dated 2026-08-19.
Разумные ответы о финансах и не только. Подробнее о канале: https://t.me/RationalAnswer/1017 Для обратной связи и по вопросам рекламы: @Pavel_Komarovskiy РКН: https://knd.gov.ru/license?id=675474f946efdb335e2f381f®istryType=bloggersPermission
Evidence snapshot
The @RationalAnswer assessment dated 2026-08-19 uses 40 recent public posts. At that snapshot the channel had 105,484 subscribers, median post views were 26,372, ERR was 25.0%, 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: reasonable.
Estimated 48-hour reach: 10,154–20,307 views.
Reach of advertising posts
Advertising posts have a median of 24,384 views versus 26,550 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 2026-08-19. 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 @RationalAnswerQuestions about @RationalAnswer
What does grade A+ mean for @RationalAnswer?
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 @RationalAnswer?
ERR is 25.0%. Median post views equal 25.0% of the channel's 105,484 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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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.