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Fake engagement check for @investfuture

InvestFuture — public reach metrics and manipulation-risk assessment dated 2026-08-19.

Медиа про деньги https://t.me/addlist/R_MVZ7nXeSRjNjYy Реклама: @IF_adv https://edu.investfuture.club/kontacts Канал Киры Юхтенко: @kira_pronira Комьюнити и разбан: @community_if

96/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
184339
Median views
28728
ERR
15.6%
Posts sampled
40
Niche
Finance

Evidence snapshot

The @investfuture assessment dated 2026-08-19 uses 40 recent public posts. At that snapshot the channel had 184,339 subscribers, median post views were 28,728, ERR was 15.6%, 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: 9,466–17,024 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 @investfuture

This page shows the saved result dated 2026-08-19. 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 @investfuture

What does grade A+ mean for @investfuture?

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 @investfuture?

ERR is 15.6%. Median post views equal 15.6% of the channel's 184,339 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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