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@babkinvnuchokk: statistics and cleanliness index

🇦🇲𝓣𝓱𝓮 𝓬𝓻𝓪𝔃𝔂 𝓰𝓻𝓪𝓷𝓭𝓼𝓸𝓷 𝓸𝓯 𝓽𝓱𝓮 𝓸𝓵𝓭 𝔀𝓸𝓶𝓪𝓷.🇦🇲

The lost dreamer

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Grade A+ metrics look normal cleanliness index
data from 2026-10-03
Subscribers
137
Median views
94
ERR
68.6%
Posts sampled
40
Niche Blogs
Post language Russian
Channel age 1 month

Data from 2026-10-03 — 35 days old.

Assessment summary

A personal lifestyle blog with brief everyday notes, photos, and links to personal streams.

With a posting frequency of 13.1 posts per day, an ad gets pushed down the feed in just a few hours. Additionally, some messages were deleted (about 54% of IDs are missing), and reactions are left less frequently than in 12 out of 16 similar catalog channels — the ad will quickly lose visibility.

What to pay attention to

Some messages were deleted: ≈54% of IDs are missing

There are many gaps in the numbering of the channel's recent messages — 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 25 Blogs catalog channels whose metrics look normal. They are a similar size: 46 to 404 subscribers.

ERR (reach) lower than 15 of 25
@babkinvnuchokk 68.6%
similar channels median 104.9%
Reactions per 100 views lower than 21 of 24
@babkinvnuchokk 1.44
similar channels median 4.8

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.

Dynamics and anomalies

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from Sep 30 to Oct 3. The dashed line is the median (94).

0115231Sep 30: 177 viewsSep 30: 188 viewsSep 30: 197 viewsSep 30: 210 viewsSep 30: 221 viewsSep 30: 231 viewsSep 30: 231 viewsSep 30: 228 viewsSep 30: 231 viewsOct 1: 91 viewsOct 1: 91 viewsOct 1: 90 viewsOct 1: 94 viewsOct 1: 92 viewsOct 1: 95 viewsOct 1: 93 viewsOct 1: 93 viewsOct 1: 93 viewsOct 1: 95 viewsOct 1: 94 viewsOct 1: 98 viewsOct 1: 102 viewsOct 1: 101 viewsOct 1: 104 viewsOct 1: 99 viewsOct 1: 101 viewsOct 1: 107 viewsOct 1: 119 viewsOct 1: 115 viewsOct 2: 90 viewsOct 2: 84 viewsOct 2: 59 viewsOct 2: 59 viewsOct 2: 56 viewsOct 2: 56 viewsOct 2: 47 viewsOct 2: 45 viewsOct 2: 46 viewsOct 3: 27 viewsOct 3: 27 views Sep 30Oct 3
  • post views
  • 9 posts newer than one day and still gaining views
  • median 94

Maximum: 231 views. Data as of Oct 3.

What could not be calculated

View build-up not assessed: the channel posts often, and every post is newer than a week.

Cleanliness-index history

2 checks for this channel.

050100Sep 17: index 50, grade DSep 17Oct 3: index 91, grade A+Oct 3

Advertising outlook

Advertising placement: questionable.

So many posts that an ad quickly slides down the feed.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 40.

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.

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @babkinvnuchokk

What is the integrity score of the @babkinvnuchokk channel?

The channel received an integrity score of 91 out of 100 (grade A+, "metrics normal" level). The main detected feature is that some messages were deleted (about 54% of IDs are missing).

What is the audience activity and post reach?

Posts gather a median of 94 views, which amounts to an ERR of 68.6%. Reactions account for 1.44% of views — this is lower than the metrics of most similar channels in the catalog.

Is the channel suitable for advertising?

Placement is marked as questionable due to the high posting frequency — over 13 posts per day. In such a dense content flow, an ad post quickly leaves the subscribers' field of view.

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 @babkinvnuchokk assessment dated 2026-10-03 uses 40 recent public posts. At that snapshot the channel had 137 subscribers, median post views were 94, ERR was 68.6%, and the cleanliness index was 91/100.
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.