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Fake engagement check for @medvedev_telegram

Дмитрий Медведев — public reach metrics and manipulation-risk assessment dated 2026-08-15.

https://knd.gov.ru/license?id=674f31bac577eb7c52469c28&registryType=bloggersPermission

50/100
cleanliness index
Grade D
some signals require caution
Subscribers
1716286
Median views
2936019
ERR
171.1%
Posts sampled
40
Niche
News

Evidence snapshot

The @medvedev_telegram assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 1,716,286 subscribers, median post views were 2,936,019, ERR was 171.1%, 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: 1,957,500–2,498,904 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 @medvedev_telegram

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 @medvedev_telegram

What does grade D mean for @medvedev_telegram?

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

What is the ERR of @medvedev_telegram?

ERR is 171.1%. Median post views equal 171.1% of the channel's 1,716,286 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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