А

Анализ данных (Data analysis)

@data_analysis_mlRussian flagRussianScienceTier AChannel
Open in Telegram
Subscribers
51K
Growth (7d)
+60
Avg reach
3.2K
Posts / day
4.5
Citations
3

Reach score

Normal

In September 2026, @data_analysis_ml reached 6.4% of its 50,588 subscribers per post (3,244 average views), placing it in the lower half of tracked channels its size, an ordinary result. The benchmark is 1,287 tracked channels with 20K-100K subscribers, whose median reach is 9.7%.

Views per subscriber
6.4%
Percentile for its size
38/ 100
Views per post
3,244
Band median
9.7%
Dead38th percentilePushed from outside

Post reach is in the ordinary range for a channel this size. Nothing here suggests bought subscribers.

Measured against 1,287 tracked channels with 20K-100K subscribers (a sample of that band). Views per subscriber falls as a channel grows, so @data_analysis_ml is only ever compared with channels of its own size.

How the Telegram reach score is calculated

Subscriber growth

2026-06-22+299 over 63 days2026-09-01

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About

Data science, наука о данных. @haarrp - админ РКН: clck.ru/3FmyAp