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Из чего сложился балл
In short
@binary_options_masters is a mid-sized channel for the Education & Science category: a post reaches 1.1% of subscribers — lower than 99% of channels in the category. Over 17 days of tracking, subscribers grew by 2.9%, while median views fell by 38%. Publishes 576 posts a month — more often than 99% of channels in the category. Some metrics don't agree with each other, so treat the figures with caution. Tracked since 18 Sep 2026, 18 measurements.
Position in the Education & Science category
A score of 0 — last in the category. Every grey dot is another object from the same category.
How it changed
Measured every night. Over 18 days: +33 subscribers. A break in the line means the channel did not respond that day.
Views on recent posts
Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel leans on the occasional viral post.
Against the Education & Science category
Compared only against its own category: normal values differ for a channel with ten thousand subscribers and one with two million. The median is computed over 922 objects in the category.
Questions
Is @binary_options_masters an active channel?
Yes. It responded at the last check on 1 Nov 2026 and published 576 posts in the past 30 days.
Does @binary_options_masters have fake subscribers?
The metrics don't add up. That isn't proof of fake subscribers, but it's a reason to look closer before buying an ad. Our measurements: an average post reaches 1.1% of subscribers, metric consistency 75/100. Inflated views can't be fully ruled out from the outside, so this is an observation, not a guarantee. How to check it yourself
How many people see a post in @binary_options_masters?
The median post gets 8 views — 1.1% of 1.2K subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers