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Fake engagement check for @iNiceNews

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

Госуслуги: № 6827922998 ❤️ Добрые новости — всегда позитивные! Занимайтесь любовью, а не войной 📝 Предложить новость: @HelpNWBot 💎 Реклама: @niktwix 📢 Прайс: t.me/newchannel_media/101 Менеджер: @Spiral_Yuri Сотрудничем: @Tgpodbor_official

96/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
240810
Median views
20582
ERR
8.5%
Posts sampled
40
Niche
News

Evidence snapshot

The @iNiceNews assessment dated 2026-08-17 uses 40 recent public posts. At that snapshot the channel had 240,810 subscribers, median post views were 20,582, ERR was 8.5%, and the cleanliness index was 96/100.

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

Advertising outlook

Advertising placement: reasonable.

Estimated 48-hour reach: 5,639–5,706 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 2026-08-17. 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 @iNiceNews

What does grade A+ mean for @iNiceNews?

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 @iNiceNews?

ERR is 8.5%. Median post views equal 8.5% of the channel's 240,810 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 96/100 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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