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Fake engagement check for @privet_rostov_ru

Privet-Rostov.ru - новости Ростов-на-Дону — public reach metrics and manipulation-risk assessment dated 2026-08-03.

📢 Главные новости Ростова и Ростовской области → Связь с редактором - @privet_rostovbot → Чат https://t.me/privet_rostov_chat → Только реклама @anton_palchikov → Купить рекламу: https://telega.in/c/privet_rostov_ru РКН: https://clck.ru/3FfNV4 #PDNLC

90/100
cleanliness index
Grade A
low manipulation risk
Subscribers
179266
Median views
8362
ERR
4.7%
Posts sampled
40
Niche
News

Evidence snapshot

The @privet_rostov_ru assessment dated 2026-08-03 uses 40 recent public posts. At that snapshot the channel had 179,266 subscribers, median post views were 8,362, ERR was 4.7%, and the cleanliness index was 90/100.

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 3,645 views.

What grade A means

The channel looks clean in the available public data. The remaining uncertainty comes from the limits of public Telegram metrics.

Run a fresh check for @privet_rostov_ru

This page shows the saved result dated 2026-08-03. 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 @privet_rostov_ru

What does grade A mean for @privet_rostov_ru?

The channel looks clean in the available public data. The remaining uncertainty comes from the limits of public Telegram metrics.

What is the ERR of @privet_rostov_ru?

ERR is 4.7%. Median post views equal 4.7% of the channel's 179,266 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 90/100 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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