@vkabinetedvizhuha: statistics and cleanliness index
в 6 кабинете обнимают🤫
здесь обитают ястребы, которые хоть раз заходили в 6 кабинет Наша предложка: @predlozhhka_6kabinet_bot
data from 2026-09-04
- Subscribers
- 5,703
- Median views
- 38
- ERR
- 0.7%
- Posts sampled
- 39
Data from 2026-09-04 — 64 days old.
Assessment summary
Critically low reach with a median of just 38 views per 5.7 thousand subscribers indicates an artificially inflated base or a dead audience that does not read the feed.
With a posting frequency of around 45 posts per day, any promotional message will instantly get lost, reaching only a few dozen random users, making commercial placement here pointless.
What to pay attention to
Very low reach: ERR ≈ 0.7% with 5,703 subscribers
Median views are a fraction of a percent of the subscriber count: almost none of the audience sees a post. The subscribers are there, but the views are not.
What grade C means
Some metrics fall outside usual values — for example reach, view spread or reactions. The “How the assessment was produced” section shows which ones.
Compared with similar channels
Compared with 11 Recreation & Entertainment catalog channels whose metrics look normal. They are a similar size: 2,158 to 16,241 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 39 posts with views, from Sep 3 to Sep 4. The dashed line is the median (38).
- post views
- 39 posts newer than one day and still gaining views
- median 38
Maximum: 45 views. Data as of Sep 4.
What scoring found in the view pattern
Very low reach: ERR ≈ 0.7% with 5,703 subscribers
Median views are a fraction of a percent of the subscriber count: almost none of the audience sees a post. The subscribers are there, but the views are not.
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
The channel's data has been collected once — the chart will appear after the next update.
Advertising outlook
Advertising placement: not recommended.
Only a small share of subscribers sees the posts.
About 19–41 people will see your post in the first 48 hours.
Reach of advertising posts
No advertising posts among the latest 39.
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 @vkabinetedvizhuha
What risk level was identified for the channel?
The channel received a moderate risk score of 45 out of 100 with high verification confidence, with the primary risk associated with engagement metrics.
How many real views do posts get?
The median reach is just 38 views per post, which corresponds to an engagement rate (ERR) of about 0.67% of the reported 5,703 subscribers.
Is buying ads on this channel justified?
Placement is considered questionable, as posts are seen by a negligible portion of the audience, and intensive posting (up to 45 posts per day) immediately pushes messages out of view.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-09-04
- Sample
- The latest 39 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 @vkabinetedvizhuha assessment dated 2026-09-04 uses 39 recent public posts. At that snapshot the channel had 5,703 subscribers, median post views were 38, ERR was 0.7%, and the cleanliness index was 55/100.
- 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.