Научная мематология
Из чего сложился балл
In short
@scientific_mematology is a mid-sized channel for the Other category: a post reaches 50.5% of subscribers — close to the category median (44.0%). Publishes 40 posts a month — more often than 55% of channels in the category. Tracked since 10 Oct 2026, 1 measurements.
Position in the Other category
A score of 75 — ahead of 96% of the category. Every grey dot is another object from the same category.
How it changed
History is still building up: 1 measurements so far. We take readings every night, and in a few days a change chart will appear here.
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 Other 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 6932 objects in the category.
Mentions
These links come from real posts: we saw @scientific_mematology mentioned in these channels, or it mentioned them. Reach is the view count of the post with the mention when we measured it.
Who mentions @scientific_mematology
- Ученые Бëруши 🤓 @science_berushireach 322 · 30 Sep 2026
Questions
Is @scientific_mematology an active channel?
Yes. It responded at the last check on 10 Oct 2026 and published 40 posts in the past 30 days.
Does @scientific_mematology have fake subscribers?
Open data shows no signs of inflated numbers. Our measurements: an average post reaches 50.5% of subscribers, metric consistency 90/100. 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 @scientific_mematology?
The median post gets 1.5K views — 50.5% of 3.0K subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers