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Fake engagement check for @owershop88

owershop — public reach metrics and manipulation-risk assessment dated 2026-07-24.

без участия в чате приз не выдаю, в канале присутствуют байты. больше 2 рр не делаю раздал более 7к⭐️!

50/100
cleanliness index
Grade D
some signals require caution
Subscribers
1469
Median views
119
ERR
8.1%
Posts sampled
7
Niche
Promotions and deals

The sample is small, so this assessment is preliminary.

Evidence snapshot

The @owershop88 assessment dated 2026-07-24 uses 7 recent public posts. At that snapshot the channel had 1,469 subscribers, median post views were 119, ERR was 8.1%, and the cleanliness index was 50/100.

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

Advertising outlook

Advertising placement: questionable.

Posts are published very frequently, so an advertisement may move down the feed quickly.

Estimated 48-hour reach: 88–156 views.

Low-confidence forecast because few posts were available.

What grade D means

The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.

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This page shows the saved result dated 2026-07-24. 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 @owershop88

What does grade D mean for @owershop88?

The channel has several strong warning signals consistent with artificial engagement or an inactive subscriber base. Advertising is risky.

What is the ERR of @owershop88?

ERR is 8.1%. Median post views equal 8.1% of the channel's 1,469 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 50/100 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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