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Fake engagement check for @TRASHmemesHYPE

💀 МЕМЫ Приколы Трэш — public reach metrics and manipulation-risk assessment dated 2026-08-06.

🔥 ЕЩЁ БОЛЬШЕ КОНТЕНТА: t.me/addlist/2EjwwexCDeRlNWNh 💬 ЧАТЫ ДЛЯ ОБЩЕНИЯ: t.me/addlist/1ZoIIyAsAgkzYjEx 🌐 Реклама / Сотрудничество: @DealAds

92/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
54088
Median views
577
ERR
1.1%
Posts sampled
40
Niche
Entertainment

Evidence snapshot

The @TRASHmemesHYPE assessment dated 2026-08-06 uses 40 recent public posts. At that snapshot the channel had 54,088 subscribers, median post views were 577, ERR was 1.1%, and the cleanliness index was 92/100.

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

Advertising outlook

Advertising placement: not recommended.

A small share of subscribers sees each post, limiting likely advertising reach.

Estimated 48-hour reach: 252–471 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.

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This page shows the saved result dated 2026-08-06. 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 @TRASHmemesHYPE

What does grade A+ mean for @TRASHmemesHYPE?

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 @TRASHmemesHYPE?

ERR is 1.1%. Median post views equal 1.1% of the channel's 54,088 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 92/100 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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