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Fake engagement check for @AI_Quanta

КВАНТА AI - про нейросети — public reach metrics and manipulation-risk assessment dated 2026-08-24.

Рассказываем и показываем как устроены нейросети доступным языком Бот — @Quanta_AiBot ⚠️ По предложениям и помощи — @QuantaAi_support

50/100
cleanliness index
Grade D
some signals require caution
Subscribers
57856
Median views
2108
ERR
3.6%
Posts sampled
40
Niche
Technology

Evidence snapshot

The @AI_Quanta assessment dated 2026-08-24 uses 40 recent public posts. At that snapshot the channel had 57,856 subscribers, median post views were 2,108, ERR was 3.6%, 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.

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

Estimated 48-hour reach: 1,055–1,176 views.

What grade D means

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

Run a fresh check for @AI_Quanta

This page shows the saved result dated 2026-08-24. 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 @AI_Quanta

What does grade D mean for @AI_Quanta?

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

What is the ERR of @AI_Quanta?

ERR is 3.6%. Median post views equal 3.6% of the channel's 57,856 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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