@USSResearch vs @mikhailnaer
The score is an object’s place inside its own category, so only neighbours within a category are worth comparing. The category selected now is “Книги и аудиокниги”, and it holds 869 objects.
Александр Фокин USSResearch
@USSResearch
89
отвечает
vs
Миша Наер
@mikhailnaer
88
отвечает
A gap of 1 points is within the margin of error: the two are effectively level.
No single component shows a meaningful gap.
Where the gap comes from
Each bar is the object’s place among its category neighbours: 100% means “best in the category on that component”.
@USSResearch@mikhailnaer
охват
вовлечённость
активность
Position in the category
@USSResearch
@mikhailnaer
Measured values
| Metric | @USSResearch | @mikhailnaer |
|---|---|---|
| Subscribers | 12.5K | 8.0K |
| Median views | 2.1K | 3.3K |
| Engagement rate | — | 50.1% |
| Posts per month | 48 | 46 |
| Purity multiplier | 1.00 | 1.00 |
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 depends on the occasional viral post.
@USSResearch
no data
@mikhailnaer