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Fake engagement check for @ostorozhno_novosti

Осторожно, новости — public reach metrics and manipulation-risk assessment dated 2026-08-15.

предложить новость, написать нам: @ostoroznyii_bot Перечень РКН: https://clck.ru/3Rf7Nx

94/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
1608743
Median views
187953
ERR
11.7%
Posts sampled
40
Niche
News

Evidence snapshot

The @ostorozhno_novosti assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 1,608,743 subscribers, median post views were 187,953, ERR was 11.7%, and the cleanliness index was 94/100.

Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.

Advertising outlook

Advertising placement: questionable.

Posts are published very frequently, so an advertisement may move down the feed quickly.

Estimated 48-hour reach: 180,056–196,971 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.

Run a fresh check for @ostorozhno_novosti

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 @ostorozhno_novosti

What does grade A+ mean for @ostorozhno_novosti?

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 @ostorozhno_novosti?

ERR is 11.7%. Median post views equal 11.7% of the channel's 1,608,743 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 94/100 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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