@tochnonekatyanet: statistics and cleanliness index
katuuuz
data from 2026-10-07
- Subscribers
- 357
- Median views
- 2,785
- ERR
- 780.1%
- Posts sampled
- 32
Data from 2026-10-07 — fresh.
Assessment summary
A personal lifestyle blog with photos and short videos, running for almost four years. Views on each post far exceed the subscriber count: the ERR of 780.1% is higher than that of 34 out of 35 similar channels in the directory.
At the same time, new posts are published very rarely — an average of one post every ten days. Due to the low posting frequency, planning an ad placement here is questionable.
What to pay attention to
Spike in paid (Stars) reactions on posts (up to 787 stars)
On certain posts, the number of paid (Stars) reactions is sharply higher than on others — up to 787 stars (≈33% of post views), even though free reactions are also available in the channel. Telegram counts stars, not individual users: such a spike can be generated by a single generous subscriber.
What grade D means
The index is clearly lowered: one or more metrics fall outside usual values. The “How the assessment was produced” section shows which ones.
Compared with similar channels
Compared with 35 Celebrities & lifestyle catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 4 to 412,525 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.
Dynamics and anomalies
Views by post
The latest 32 posts with views, from Mar 23 to Oct 4. The dashed line is the median (2,785).
- post views
- median 2,785
Maximum: 5,389 views. Data as of Oct 7.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
4 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
No advertising posts among the latest 32.
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 @tochnonekatyanet
What is the purity index of the channel @tochnonekatyanet?
The channel's purity index is 50 out of 100, which corresponds to grade D and the "deviations present" level. The score was affected by the deletion of approximately 15% of message IDs and sharp spikes in paid reactions on certain posts.
Why is post reach higher than the subscriber count?
The median views are 2,785 with 357 subscribers, yielding an ERR of about 780.1%. Significantly more people read the posts than are subscribed to the channel, which may occur due to external traffic or forwards.
Is it advisable to buy ads on this channel?
The feasibility of placement is evaluated as "questionable". The main reason for this verdict is low activity: posts are published rarely, at a frequency of about 0.1 posts per day.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-07
- Sample
- The latest 32 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 @tochnonekatyanet assessment dated 2026-10-07 uses 32 recent public posts. At that snapshot the channel had 357 subscribers, median post views were 2,785, ERR was 780.1%, and the cleanliness index was 50/100.
- 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/TGinspector_ru.