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Fake engagement check for @moscowach

Москвач • Новости Москвы — public reach metrics and manipulation-risk assessment dated 2026-08-14.

🌠 Лучший и крупнейший канал о Москве Прислать новость: @moscowachnewsbot Реклама: t.me/pricemos/620 РКН: clck.ru/3FTixA

91/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
4192588
Median views
177311
ERR
4.2%
Posts sampled
40
Niche
News

Evidence snapshot

The @moscowach assessment dated 2026-08-14 uses 40 recent public posts. At that snapshot the channel had 4,192,588 subscribers, median post views were 177,311, ERR was 4.2%, and the cleanliness index was 91/100.

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

Advertising outlook

Advertising placement: questionable.

A small share of subscribers sees each post, limiting likely advertising reach.

Estimated 48-hour reach: about 129,263 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 2026-08-14. 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 @moscowach

What does grade A+ mean for @moscowach?

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 @moscowach?

ERR is 4.2%. Median post views equal 4.2% of the channel's 4,192,588 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 91/100 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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