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Fake engagement check for @cb_games

КБ. Игры — public reach metrics and manipulation-risk assessment dated 2026-08-14.

Всё об играх и немного о кино. Наши каналы: https://t.me/addlist/5f0hGQbvYaJlNWZi Реклама: @socialpost_support Реестр РКН: https://clck.ru/3Fz97E

100/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
381538
Median views
35282
ERR
9.2%
Posts sampled
40
Niche
Gaming

Evidence snapshot

The @cb_games assessment dated 2026-08-14 uses 40 recent public posts. At that snapshot the channel had 381,538 subscribers, median post views were 35,282, ERR was 9.2%, and the cleanliness index was 100/100.

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: 29,846–32,161 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 2026-08-14. 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 @cb_games

What does grade A+ mean for @cb_games?

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 @cb_games?

ERR is 9.2%. Median post views equal 9.2% of the channel's 381,538 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 100/100 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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