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Fake engagement check for @odessa_typical

Типичная Одесса — public reach metrics and manipulation-risk assessment dated 2026-08-22.

Единственный добрый одесский канал. Сатирически следим за всем югом. ✅ @TO_feedbackbot - бот обратной связи

95/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
255405
Median views
52737
ERR
20.6%
Posts sampled
40
Niche
News

Evidence snapshot

The @odessa_typical assessment dated 2026-08-22 uses 40 recent public posts. At that snapshot the channel had 255,405 subscribers, median post views were 52,737, ERR was 20.6%, 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: questionable.

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

Estimated 48-hour reach: 32,446–59,834 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 2026-08-22. 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 @odessa_typical

What does grade A+ mean for @odessa_typical?

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 @odessa_typical?

ERR is 20.6%. Median post views equal 20.6% of the channel's 255,405 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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