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Fake engagement check for @sidorkinaorgdesign

Сидоркина про организационный дизайн — public reach metrics and manipulation-risk assessment dated 2026-07-08.

Крупнейший в русскоязычном ТГ авторский канал про организационный дизайн - для управленцев и HR (оргструктуры, численность, эффективность) Автор 20+ лет в оргдизайне Написать: @sidorkinasvetlana Реклама в канале: @naida_biz

98/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
6499
Median views
702
ERR
10.8%
Posts sampled
39
Niche
Business

Evidence snapshot

The @sidorkinaorgdesign assessment dated 2026-07-08 uses 39 recent public posts. At that snapshot the channel had 6,499 subscribers, median post views were 702, ERR was 10.8%, and the cleanliness index was 98/100.

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: 199–284 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 @sidorkinaorgdesign

This page shows the saved result dated 2026-07-08. 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 @sidorkinaorgdesign

What does grade A+ mean for @sidorkinaorgdesign?

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 @sidorkinaorgdesign?

ERR is 10.8%. Median post views equal 10.8% of the channel's 6,499 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 98/100 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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