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Fake engagement check for @MrDerbex

Mr_Felix MODS — public reach metrics and manipulation-risk assessment dated 2026-08-20.

Владелец DMFStudio по созданию модов на Minecraft Bedrok ------------------------------- t.me/boost/MrDerbex ●Мой др 4 апреля ●Канал создан 8 января 2024 ------------------------------- Поддержать: 2202 2083 6832 4134 -- СБЕР @OKM01

95/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
1062
Median views
269
ERR
25.3%
Posts sampled
38
Niche
Gaming

Evidence snapshot

The @MrDerbex assessment dated 2026-08-20 uses 38 recent public posts. At that snapshot the channel had 1,062 subscribers, median post views were 269, ERR was 25.3%, and the cleanliness index was 95/100.

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: 234–276 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 @MrDerbex

This page shows the saved result dated 2026-08-20. 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 @MrDerbex

What does grade A+ mean for @MrDerbex?

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 @MrDerbex?

ERR is 25.3%. Median post views equal 25.3% of the channel's 1,062 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 95/100 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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