@babulya_sveta vs @vv_volodin
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 “Образование и наука”, and it holds 3631 objects.
Бабушка блогерского поведения
@babulya_sveta
93
отвечает
vs
Вячеслав Володин
@vv_volodin
92
отвечает
A gap of 0 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”.
@babulya_sveta@vv_volodin
охват
вовлечённость
активность
Position in the category
@babulya_sveta
@vv_volodin
Measured values
| Metric | @babulya_sveta | @vv_volodin |
|---|---|---|
| Subscribers | 35.1K | 1.3M |
| Median views | 26.1K | 728.0K |
| Engagement rate | 66.6% | 56.1% |
| Posts per month | 25 | 28 |
| 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.
@babulya_sveta
@vv_volodin