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Fake engagement check for @stratton_reviews

Stratton Reviews — public reach metrics and manipulation-risk assessment dated 2026-07-20.

100/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
38
Median views
5568
ERR
14652.6%
Posts sampled
2
Niche
Cryptocurrency

The sample is small, so this assessment is preliminary.

Evidence snapshot

The @stratton_reviews assessment dated 2026-07-20 uses 2 recent public posts. At that snapshot the channel had 38 subscribers, median post views were 5,568, ERR was 14652.6%, 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.

The channel has not published recently. Confirm its next posting date with the administrator.

There are not enough posts for a reach forecast.

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 @stratton_reviews

This page shows the saved result dated 2026-07-20. 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 @stratton_reviews

What does grade A+ mean for @stratton_reviews?

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 @stratton_reviews?

ERR is 14652.6%. Median post views equal 14652.6% of the channel's 38 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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