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Fake engagement check for @vacanciesbest

Лучшие вакансии — public reach metrics and manipulation-risk assessment dated 2026-08-18.

Лучшие вакансии, отобранные командой аналитиков. Мы ставим только те вакансии, которые нам интересны. Если у вас есть такая, присылайте на vac@facancy.ru Задать вопрос: @careerlab_support_bot Реклама: @careeradvertising_bot РКН: https://clck.ru/3FKfjb

55/100
cleanliness index
Grade C
some signals require caution
Subscribers
160659
Median views
9974
ERR
6.2%
Posts sampled
40
Niche
Business

Evidence snapshot

The @vacanciesbest assessment dated 2026-08-18 uses 40 recent public posts. At that snapshot the channel had 160,659 subscribers, median post views were 9,974, ERR was 6.2%, and the cleanliness index was 55/100.

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

Advertising outlook

Advertising placement: questionable.

The audience appears passive because posts receive very few reactions.

Estimated 48-hour reach: 6,244–8,690 views.

What grade C means

Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.

Run a fresh check for @vacanciesbest

This page shows the saved result dated 2026-08-18. 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 @vacanciesbest

What does grade C mean for @vacanciesbest?

Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.

What is the ERR of @vacanciesbest?

ERR is 6.2%. Median post views equal 6.2% of the channel's 160,659 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 55/100 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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