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@c_u_t_l_e_t_t: statistics and cleanliness index

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Grade A+ metrics look normal cleanliness index
data from 2026-10-03
Subscribers
22
Median views
15
ERR
68.2%
Posts sampled
40
Niche Food & Cooking
Post language Russian
Channel age 1 year

Data from 2026-10-03 — 35 days old.

Assessment summary

A culinary micro-channel featuring recipes and tips on making cutlets, with infrequent posts — about once every five days.

With a base of only 22 subscribers and a median of 15 views, the actual reach remains marginal, meaning commercial returns from integrations will be virtually zero.

What to pay attention to

Third-party spam in comments

Comments resemble spam mailings and self-promotion from third-party accounts. They are not posted on behalf of the channel and do not affect the purity index. Comment moderation or an anti-spam filter would help.

What grade A+ means

The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.

Channel content

🤖 Possible AI-generated content

Texts and illustrations show clear signs of templated machine generation.

Compared with similar channels

Compared with 5 Food & Cooking catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 3,763 to 105,214 subscribers.

ERR (reach) higher than 5 of 5
@c_u_t_l_e_t_t 68.2%
similar channels median 5.7%

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 Jan 20 to Sep 30. The dashed line is the median (15).

03673Jan 20: 38 viewsJan 31: 22 viewsFeb 4: 37 viewsFeb 11: 49 viewsFeb 14: 68 viewsFeb 14: 73 viewsFeb 22: 57 viewsMar 1: 55 viewsMar 8: 56 viewsMar 10: 68 viewsMar 27: 56 viewsApr 18: 52 viewsMay 18: 38 viewsJul 15: 32 viewsJul 23: 32 viewsJul 29: 17 viewsJul 30: 16 viewsAug 1: 19 viewsAug 2: 18 viewsAug 3: 15 viewsAug 9: 16 viewsAug 25: 12 viewsSep 2: 8 viewsSep 7: 6 viewsSep 8: 3 viewsSep 9: 5 viewsSep 10: 4 viewsSep 11: 4 viewsSep 12: 5 viewsSep 12: 5 viewsSep 13: 4 viewsSep 14: 4 viewsSep 15: 5 viewsSep 16: 3 viewsSep 17: 3 viewsSep 18: 3 viewsSep 19: 4 viewsSep 20: 5 viewsSep 21: 4 viewsSep 30: 3 views Jan 20Sep 30
  • post views
  • median 15

Maximum: 73 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.

050100Sep 20: index 50, grade DSep 20Oct 3: index 92, grade A+Oct 3

Advertising outlook

Advertising placement: reasonable.

Not enough posts for a forecast.

Reach of advertising posts

Advertising posts have a median of 38 views versus 6 for regular posts — 533% higher.

Based on 7 advertising and 33 regular posts older than two days.

Without an ad label: 2 posts.

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.

Where to buy advertising

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

Questions about @c_u_t_l_e_t_t

What is the purity index of the channel @c_u_t_l_e_t_t?

The purity index is 92 out of 100, which corresponds to an A+ grade and the "metrics normal" level. No significant technical anomalies in audience behavior have been detected.

Is placing ads in this channel justified?

Formally, placement is marked as justified, but the channel is extremely small: the median reach is only 15 views per post.

Why were some messages in the channel deleted?

About 58% of message IDs are missing in the sample. This indicates that some previous posts or technical media files were deleted, and their exact content is unknown.

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 @c_u_t_l_e_t_t assessment dated 2026-10-03 uses 40 recent public posts. At that snapshot the channel had 22 subscribers, median post views were 15, ERR was 68.2%, and the cleanliness index was 92/100.
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/obsessed_with_ai.