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Fake engagement check for @politadequate

АДЕКВАТ Z — public reach metrics and manipulation-risk assessment dated 2026-08-15.

Адекватный взгляд на общественно-политические процессы в наше непростое время. Только аргументированная позиция! Адекватное сотрудничество: @adekvatny adekvat.tg@gmail.com Регистрация Роскомнадзора - clck.ru/3GBDz3

95/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
264234
Median views
53606
ERR
20.3%
Posts sampled
40
Niche
News

Evidence snapshot

The @politadequate assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 264,234 subscribers, median post views were 53,606, ERR was 20.3%, 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: 43,464–74,989 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.

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This page shows the saved result dated 2026-08-15. The bot collects a new snapshot for a current report.

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Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.

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Questions about @politadequate

What does grade A+ mean for @politadequate?

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 @politadequate?

ERR is 20.3%. Median post views equal 20.3% of the channel's 264,234 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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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.

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