Fake engagement check for @mod_russia
Минобороны России — public reach metrics and manipulation-risk assessment dated 2026-08-15.
Официальный канал Минобороны России В реестре Роскомнадзора: https://clck.ru/3FVQPX #ВойскаБПС – новости и все о наборе в войска беспилотных систем Помощник по вопросам поступления на службу по контракту в войска БПС ➡️ https://max.ru/contract_bpla_bot
Evidence snapshot
The @mod_russia assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 637,805 subscribers, median post views were 42,964, ERR was 6.7%, and the cleanliness index was 92/100.
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: about 26,283 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.
This page shows the saved result dated 2026-08-15. The bot collects a new snapshot for a current report.
Monitor this channel
Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.
Monitor @mod_russiaQuestions about @mod_russia
What does grade A+ mean for @mod_russia?
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 @mod_russia?
ERR is 6.7%. Median post views equal 6.7% of the channel's 637,805 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 92/100 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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Other checked channels
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.