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Fake engagement check for @medusa_cheats

MEDUSA CHEATS - Официальный канал — public reach metrics and manipulation-risk assessment dated 2026-08-19.

Покупка: https://medusa.cc Помощь: @medusa_support_bot Чат пользователей: @medusa_cheats_chat Обновления продуктов: @medusa_cheats_updates Discord: https://discord.gg/CVVQx6yAfk

70/100
cleanliness index
Grade B
low manipulation risk
Subscribers
796
Median views
209
ERR
26.3%
Posts sampled
40
Niche
Gaming

Evidence snapshot

The @medusa_cheats assessment dated 2026-08-19 uses 40 recent public posts. At that snapshot the channel had 796 subscribers, median post views were 209, ERR was 26.3%, and the cleanliness index was 70/100.

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

Advertising outlook

Advertising placement: reasonable.

There are not enough posts for a reach forecast.

What grade B means

The channel is generally clean, with a few weak warning signals. Run a fresh check before a large advertising purchase.

Run a fresh check for @medusa_cheats

This page shows the saved result dated 2026-08-19. 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 @medusa_cheats

What does grade B mean for @medusa_cheats?

The channel is generally clean, with a few weak warning signals. Run a fresh check before a large advertising purchase.

What is the ERR of @medusa_cheats?

ERR is 26.3%. Median post views equal 26.3% of the channel's 796 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 70/100 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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