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Fake engagement check for @mashasovetuet

Masha Sovetuet — public reach metrics and manipulation-risk assessment dated 2026-08-23.

Честные, емкие и полезные обзоры на вещи и всякие штучки с WB, Ozon. Мой лайф: https://t.me/mashasovetuetlife https://www.mashasovetuet.ru Cотрудничество: @PRMashaSovetuet ЖМИТЕ ПРЯМ НА НИК, НЕ ИЩИТЕ ПОИСКОМ ПО НИКУ (МОШЕННИКИ) Заявление № 4904252435

99/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
162555
Median views
21835
ERR
13.4%
Posts sampled
40
Niche
Lifestyle

Evidence snapshot

The @mashasovetuet assessment dated 2026-08-23 uses 40 recent public posts. At that snapshot the channel had 162,555 subscribers, median post views were 21,835, ERR was 13.4%, and the cleanliness index was 99/100.

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: about 11,531 views.

Reach of advertising posts

Advertising posts have a median of 20,504 views versus 22,008 for organic posts.

Based on 6 advertising and 34 organic posts older than two days.

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 2026-08-23. 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 @mashasovetuet

What does grade A+ mean for @mashasovetuet?

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 @mashasovetuet?

ERR is 13.4%. Median post views equal 13.4% of the channel's 162,555 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 99/100 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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