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@psikhologia_zhenskaya: statistics and cleanliness index

ЖЕНСКАЯ ПСИХОЛОГИЯ|ИСТОРИИ

𝙿𝚜𝚒𝚔𝚑𝚘𝚕𝚘𝚐𝚒𝚊 𝚉𝚑𝚎𝚗𝚜𝚔𝚊𝚢𝚊 Владелец: @baby_fidge Купить рекламу — https://pomogach.io/c/tPWnzSl

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Grade D some metrics deviate cleanliness index
data from 2026-10-04
Subscribers
17,253
Median views
1,718
ERR
10%
Posts sampled
40
Niche Psychology & Relationships
Post language Russian
Channel age 4 years

Data from 2026-10-04 — 5 days old.

Assessment summary

The channel publishes everyday stories, moral tales, and illustrated cards.

Over the past month, the channel's base shrank by 47% of its subscribers, and some posts were deleted from the feed (about 36% of post IDs are missing). Post reach is lower than that of most similar channels in the catalog (ERR 10.0% vs. 16.4%), so amid audience outflow, it is difficult to predict advertising results.

What to pay attention to

Sharp subscriber outflow: −47% since the last check

The channel lost a noticeable share of subscribers between checks. Typically, the number of subscribers changes more smoothly.

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 6 Psychology & Relationships catalog channels whose metrics look normal. They are a similar size: 12,649 to 22,541 subscribers.

ERR (reach) lower than 5 of 6
@psikhologia_zhenskaya 10%
similar channels median 25.4%

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 Sep 18 to Oct 4. The dashed line is the median (1,718).

01K2.1KSep 18: 2,014 viewsSep 18: 1,929 viewsSep 19: 1,823 viewsSep 19: 2,010 viewsSep 20: 2,036 viewsSep 20: 2,083 viewsSep 21: 1,960 viewsSep 21: 1,997 viewsSep 22: 1,933 viewsSep 22: 2,086 viewsSep 23: 2,022 viewsSep 23: 1,661 viewsSep 24: 1,765 viewsSep 24: 1,719 viewsSep 25: 1,724 viewsSep 25: 1,864 viewsSep 26: 1,446 viewsSep 26: 1,718 viewsSep 26: 1,732 viewsSep 27: 1,553 viewsSep 27: 1,569 viewsSep 28: 1,761 viewsSep 28: 2,044 viewsSep 28: 2,017 viewsSep 28: 1,875 viewsSep 29: 1,688 viewsSep 29: 1,521 viewsSep 29: 1,434 viewsSep 30: 1,395 viewsSep 30: 1,338 viewsOct 1: 1,202 viewsOct 1: 1,111 viewsOct 1: 1,016 viewsOct 2: 953 viewsOct 2: 867 viewsOct 2: 904 viewsOct 3: 830 viewsOct 3: 696 viewsOct 3: 708 viewsOct 4: 340 views Sep 18Oct 4
  • post views
  • 3 posts newer than one day and still gaining views
  • median 1,718

Maximum: 2,086 views. Data as of Oct 4.

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

Cleanliness-index history

3 checks for this channel.

050100Jun 13: index 86, grade AJun 13Sep 1: index 50, grade DSep 1Oct 4: index 45, grade DOct 4

Advertising outlook

Advertising placement: questionable.

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

About 699–858 people will see your post in the first 48 hours.

Reach of advertising posts

Too few advertising posts to compare: 1. 1 more are too fresh.

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.

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

Questions about @psikhologia_zhenskaya

What is the channel's integrity index, and are there any concerns?

The channel's integrity index is 45 out of 100 (grade D, "deviations present" level). The main reason for the lower index is a sharp 47% subscriber loss in a month and about 36% missing post IDs in the sample.

Is it worth advertising on this channel?

Advertising placement is considered questionable. Due to metric anomalies and sharp audience swings, it is difficult to determine in advance how many people will see the publication.

What actual reach do posts receive?

The median view count is 1,718 per post, which gives an audience reach (ERR) of about 10.0%. This is lower than the figures for 7 out of 12 similar channels in the catalog, although the reaction rate remains high at 6.27% of views.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-04
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 @psikhologia_zhenskaya assessment dated 2026-10-04 uses 40 recent public posts. At that snapshot the channel had 17,253 subscribers, median post views were 1,718, ERR was 10.0%, and the cleanliness index was 45/100.
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.