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Fake engagement check for @moscowtinderr

москоутиндер — public reach metrics and manipulation-risk assessment dated 2026-08-17.

Авторский блог мужчины из Москвы, в котором я делюсь мыслями про отношения в формате «без лица». Ну и мемы ворую. Инст: instagram.com/moscowtinder По рекламе: @moscowtinder 18+ Страница в РКН: https://clck.ru/3F2T2x

99/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
719204
Median views
50989
ERR
7.1%
Posts sampled
40
Niche
Entertainment

Evidence snapshot

The @moscowtinderr assessment dated 2026-08-17 uses 40 recent public posts. At that snapshot the channel had 719,204 subscribers, median post views were 50,989, ERR was 7.1%, and the cleanliness index was 99/100.

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: 35,108–47,318 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.

Run a fresh check for @moscowtinderr

This page shows the saved result dated 2026-08-17. 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 @moscowtinderr

What does grade A+ mean for @moscowtinderr?

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 @moscowtinderr?

ERR is 7.1%. Median post views equal 7.1% of the channel's 719,204 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 99/100 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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