@prostomura16: statistics and cleanliness index
Просто мура🚭
data from 2026-10-03
- Subscribers
- 107
- Median views
- 310
- ERR
- 289.7%
- Posts sampled
- 40
Data from 2026-10-03 — 35 days old.
Assessment summary
A personal blog with everyday photos, short videos, and the author's notes. Publication views significantly exceed the subscriber base: an ERR of 289.7% is higher than in 17 of 22 similar blogs in the directory, while some messages in the feed have been deleted (about 78% of IDs are missing).
The feasibility of placing ads is questionable due to low activity: a new post is published roughly once every ten days, and the gap since the last publication was ten days.
What to pay attention to
Some messages were deleted: ≈78% of IDs are missing
There are many gaps in the channel's recent message IDs — some of them have been deleted. Message IDs are counted rather than publications: each photo in an album has its own ID. Deleted posts are not visible, so the remaining ones provide only a partial picture of the channel.
What grade A+ means
The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.
Compared with similar channels
Compared with 28 Blogs catalog channels whose metrics look normal. They are a similar size: 38 to 318 subscribers.
This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.
Compare with another channel
Dynamics and anomalies
Scroll horizontally to see the full charts.
Views by post
The latest 40 posts with views, from Oct 27 to Sep 23. The dashed line is the median (310).
- post views
- median 310
Maximum: 542 views. Data as of Oct 3.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
2 checks for this channel.
Advertising outlook
Advertising placement: questionable.
Posts come out rarely, so an ad will struggle to get views.
Not enough posts for a forecast.
Reach of advertising posts
Too few advertising posts to compare: 1.
Buy advertising
Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.
We don't sell ads. This channel may not be listed there.
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Questions about @prostomura16
What is the purity index of the channel @prostomura16?
The purity index is 95 out of 100, which corresponds to grade A+ and the "metrics are normal" level. The channel shows a natural variation in views and open comments, although some messages were deleted with about 78% of IDs missing.
What audience do the posts gather?
The median views stand at 310 with 107 subscribers, and the ERR is 289.7%, which is higher than for 17 of 22 similar channels in the directory. The reach specifically for promotional posts has not been calculated due to a lack of such publications in the sample.
Is the channel suitable for buying advertising?
The feasibility of ad placement is rated as questionable. The reason is that posts are published very rarely — an average of 0.1 publications per day.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-03
- Sample
- The latest 40 public posts available at check time.
- Calculation method
- TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
- Factual result
- The @prostomura16 assessment dated 2026-10-03 uses 40 recent public posts. At that snapshot the channel had 107 subscribers, median post views were 310, ERR was 289.7%, and the cleanliness index was 95/100.
- Limitations
- This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.
This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.