Machine Learning

Machine Learning

@machinelearning9English flagEnglishAITier AChannel
Open in Telegram
Subscribers
41K
Growth (7d)
+63
Avg reach
1.5K
Posts / day
1.33
Citations
8

Reach score

Normal

In September 2026, @machinelearning9 reached 3.7% of its 41,130 subscribers per post (1,515 average views), placing it in the lower half of tracked channels its size, an ordinary result. The benchmark is 1,148 tracked channels with 20K-100K subscribers, whose median reach is 9.3%.

Views per subscriber
3.7%
Percentile for its size
25/ 100
Views per post
1,515
Band median
9.3%
Dead25th percentilePushed from outside

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

Measured against 1,148 tracked channels with 20K-100K subscribers (a sample of that band). Views per subscriber falls as a channel grows, so @machinelearning9 is only ever compared with channels of its own size.

How the Telegram reach score is calculated

Subscriber growth

2026-06-10+1.2K over 71 days2026-09-09

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About

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho