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Fake engagement check for @ilovekrasnuyluch

Я 🤍 Красный Луч — public reach metrics and manipulation-risk assessment dated 2026-08-18.

Предложить новость: @Post_KL_bot Правила: https://telegra.ph/Pravila-gruppy-YAKRASNYJ-LUCH-09-11 По поводу рекламы @reklams_tg

69/100
cleanliness index
Grade C
some signals require caution
Subscribers
6721
Median views
181
ERR
2.7%
Posts sampled
40
Niche
News

Evidence snapshot

The @ilovekrasnuyluch assessment dated 2026-08-18 uses 40 recent public posts. At that snapshot the channel had 6,721 subscribers, median post views were 181, ERR was 2.7%, and the cleanliness index was 69/100.

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: 170–194 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 @ilovekrasnuyluch

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 @ilovekrasnuyluch

What does grade C mean for @ilovekrasnuyluch?

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 @ilovekrasnuyluch?

ERR is 2.7%. Median post views equal 2.7% of the channel's 6,721 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 69/100 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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