@vv_volodin vs @OrlovAmur
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 “Политика и общество”, and it holds 3152 objects.
Вячеслав Володин
@vv_volodin
92
отвечает
vs
Василий Орлов
@OrlovAmur
92
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”.
@vv_volodin@OrlovAmur
охват
вовлечённость
активность
Position in the category
@vv_volodin
@OrlovAmur
Measured values
| Metric | @vv_volodin | @OrlovAmur |
|---|---|---|
| Subscribers | 1.3M | 21.7K |
| Median views | 579.0K | 24.4K |
| Engagement rate | 56.1% | 58.3% |
| Posts per month | 45 | 56 |
| 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.
@vv_volodin
@OrlovAmur