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@syweluu1: statistics and cleanliness index

Bla bla Land🐈‍⬛

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Grade F many metrics deviate cleanliness index
data from 2026-09-27
Subscribers
250
Median views
297
ERR
118.8%
Posts sampled
40
Niche Blogs
Post language Russian
Channel age 4 months

Data from 2026-09-27 — 12 days old.

Assessment summary

With a view variance of just 0.02 and an identical number of single-type reactions across all publications, the activity appears unnaturally uniform for a small personal blog.

Combined with closed comments and a posting hiatus of over two weeks, the reach forecast is extremely unreliable, making it impossible to evaluate the return on an ad integration.

What to pay attention to

Nearly identical view counts across all posts (CV ≈ 0.02)

Views barely differ from post to post. Usually, there is a noticeable variance: some posts get read more, others less.

What grade F means

The index is at its lowest: the metrics fall far outside usual values, or Telegram has flagged the channel as a scam. See the “How the assessment was produced” section for details.

Compared with similar channels

Compared with 20 Blogs catalog channels whose metrics look normal. They are a similar size: 87 to 639 subscribers.

ERR (reach) higher than 13 of 20
@syweluu1 118.8%
similar channels median 86.6%
Reactions per 100 views higher than 19 of 20
@syweluu1 34.78
similar channels median 4.71

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

Views by post

The latest 40 posts with views, from Aug 28 to Sep 13. The dashed line is the median (297).

0153307Aug 28: 286 viewsAug 28: 304 viewsAug 28: 280 viewsAug 28: 286 viewsAug 28: 291 viewsSep 3: 291 viewsSep 3: 299 viewsSep 3: 296 viewsSep 3: 295 viewsSep 3: 305 viewsSep 3: 302 viewsSep 3: 307 viewsSep 3: 297 viewsSep 3: 307 viewsSep 3: 290 viewsSep 5: 296 viewsSep 5: 290 viewsSep 5: 297 viewsSep 5: 299 viewsSep 5: 303 viewsSep 5: 306 viewsSep 5: 305 viewsSep 5: 301 viewsSep 5: 298 viewsSep 12: 289 viewsSep 12: 288 viewsSep 12: 294 viewsSep 12: 297 viewsSep 12: 295 viewsSep 12: 299 viewsSep 12: 306 viewsSep 12: 290 viewsSep 12: 302 viewsSep 12: 291 viewsSep 12: 298 viewsSep 12: 302 viewsSep 12: 295 viewsSep 12: 296 viewsSep 13: 303 viewsSep 13: 300 views Aug 28Sep 13
  • post views
  • median 297

Maximum: 307 views. Data as of Sep 27.

What scoring found in the view pattern

Nearly identical view counts across all posts (CV ≈ 0.02)

Views barely differ from post to post. Usually, there is a noticeable variance: some posts get read more, others less.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

The channel's data has been collected once — the chart will appear after the next update.

Advertising outlook

Advertising placement: not recommended.

Some of the channel's metrics deviate, so it is hard to say in advance how many people will see an ad.

Not calculated: many of the channel's metrics deviate, so a forecast would be unreliable.

Reach of advertising posts

No advertising posts among the latest 40.

Questions about @syweluu1

What is the risk score for the channel @syweluu1?

The risk index is 70 out of 100 (red level) with low confidence due to a small base of 250 subscribers. The score is driven by abnormally uniform views and single-type reactions from post to post.

What is the real reach of posts in the channel?

The median view count is 297 per post, representing a reach of over 118% of the subscriber base. However, the complete lack of view variance between posts makes this figure an unreliable benchmark.

Is it worth placing ads in Bla bla Land🐈‍⬛?

The feasibility of placing ads is assessed as questionable. View metrics do not align with typical audience behavior, and the feed has not been updated for over two weeks.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-27
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 @syweluu1 assessment dated 2026-09-27 uses 40 recent public posts. At that snapshot the channel had 250 subscribers, median post views were 297, ERR was 118.8%, and the cleanliness index was 30/100.
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.

Full methodology and interpretation rules

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/TGinspector_ru.