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Fake engagement check for @redakciya_nauka

Редакция.Наука — public reach metrics and manipulation-risk assessment dated 2026-08-15.

Телеграм-канал «Редакция.Наука» Реклама только через биржу: https://telega.in/c/redakciya_nauka YouTube https://bit.ly/3xf4SXA Регистрация РКН: https://knd.gov.ru/license?id=676411be506f9677283ea1ac&registryType=bloggersPermis 💌ad.nauka@yandex.ru

50/100
cleanliness index
Grade D
some signals require caution
Subscribers
32186
Median views
3547
ERR
11.0%
Posts sampled
40
Niche
Education

Evidence snapshot

The @redakciya_nauka assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 32,186 subscribers, median post views were 3,547, ERR was 11.0%, 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: 2,900–3,170 views.

What grade D means

The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.

Run a fresh check for @redakciya_nauka

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 @redakciya_nauka

What does grade D mean for @redakciya_nauka?

The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.

What is the ERR of @redakciya_nauka?

ERR is 11.0%. Median post views equal 11.0% of the channel's 32,186 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.

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