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@zrya_ne_znau: statistics and cleanliness index

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Лучшие истории для тебя❤️ Пригласи друга: https://t.me/+THzJgm2zkkIMSJOV По всем вопросам: @tolya9595 По рекламе: @tolya9595 @raffaello1121 Купить рекламу: https://telega.in/c/zrya_ne_znau Реклама: @Social_Energy График и прайс: seads.me

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Grade A+ metrics look normal cleanliness index
data from 2026-09-08
Subscribers
15,669
Median views
799
ERR
5.1%
Posts sampled
40
Niche Recreation & Entertainment

Data from 2026-09-08 — 30 days old.

Assessment summary

The low risk score is confirmed by stable metrics: with exactly one post published per day, views are distributed predictably (CV 0.23), and the feed is completely free of advertising noise.

The main practical nuance for an advertiser is the gradual stagnation of the channel (an outflow of 400 subscribers over three months) and disabled comments, which limits feedback; however, infrequent posting ensures that the promotional post will remain at the top of the feed for a full 24 hours.

What to pay attention to

Machine-regular posting schedule (interval CV ≈ 0.06)

The intervals between posts are almost identical — posts go out on a strict schedule. Regular post schedulers work this way too, so the signal is weak.

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 20 Recreation & Entertainment catalog channels whose metrics look normal. They are a similar size: 6,008 to 44,373 subscribers.

ERR (reach) lower than 20 of 20
@zrya_ne_znau 5.1%
similar channels median 23.1%
Reactions per 100 views at the median
@zrya_ne_znau 1.04
similar channels median 1.06

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 Jul 30 to Sep 7. The dashed line is the median (799).

0477954Jul 30: 954 viewsJul 31: 904 viewsAug 1: 912 viewsAug 2: 909 viewsAug 3: 885 viewsAug 4: 880 viewsAug 5: 873 viewsAug 6: 885 viewsAug 7: 863 viewsAug 8: 939 viewsAug 9: 910 viewsAug 10: 896 viewsAug 11: 884 viewsAug 12: 862 viewsAug 13: 835 viewsAug 14: 811 viewsAug 15: 793 viewsAug 16: 804 viewsAug 17: 803 viewsAug 18: 781 viewsAug 19: 788 viewsAug 20: 794 viewsAug 21: 752 viewsAug 22: 780 viewsAug 23: 817 viewsAug 24: 814 viewsAug 25: 795 viewsAug 26: 756 viewsAug 27: 690 viewsAug 28: 641 viewsAug 29: 627 viewsAug 30: 603 viewsAug 31: 575 viewsSep 1: 553 viewsSep 2: 552 viewsSep 3: 508 viewsSep 4: 450 viewsSep 5: 384 viewsSep 6: 342 viewsSep 7: 241 views Jul 30Sep 7
  • post views
  • 1 post newer than one day and still gaining views
  • median 799

Maximum: 954 views. Data as of Sep 8.

No deviations in views. Views are only part of the metrics, so look at the whole index.

Cleanliness-index history

2 checks for this channel.

050100Jun 11: index 96, grade A+Jun 11Sep 8: index 95, grade A+Sep 8

Advertising outlook

Advertising placement: reasonable.

About 282–317 people will see your post in the first 48 hours.

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.

Where to buy advertising

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

Questions about @zrya_ne_znau

What is the risk of fake engagement on the channel?

The risk is assessed as minimal (5 out of 100). The view variance is natural, and there are no traces of bot activity in the feed.

What reach will an advertising post receive?

Posts consistently gather around 800 views (ERR around 5%). Thanks to the posting frequency of 1 post per day, the message will not get lost in the feed.

Is buying advertising justified?

Placement is considered justified, as the feed is not overloaded with ads. However, the audience's passivity due to closed comments should be taken into account.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-08
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 @zrya_ne_znau assessment dated 2026-09-08 uses 40 recent public posts. At that snapshot the channel had 15,669 subscribers, median post views were 799, ERR was 5.1%, and the cleanliness index was 95/100.
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.