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@motivation_psychoIogy: statistics and cleanliness index

Психология | Мотивация

Порция саморазвития на каждый день 🤍 По рекламе: @shxzdl, @Iiamoreee Менеджеры: @maksim_pomogach, @vnsny Реклама и Расписание: @motivation_psychology_bot

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Grade A metrics look normal cleanliness index
data from 2026-09-21
Subscribers
100,142
Median views
3,554
ERR
3.5%
Posts sampled
40
Niche Psychology & Relationships
Post language Russian
Channel age 4 years

Data from 2026-09-21 — 18 days old.

Assessment summary

The low risk score confirms the absence of obvious manipulation, but the channel suffers from severe audience burnout: with a hundred thousand subscribers, posts are read by only about 3,500 people.

Over the past month, views have dropped from 4.2 to 3.5 thousand amid an outflow of subscribers, so the return on advertising here is determined by the reach of a narrow active core rather than the impressive figure in the profile.

What grade A means

Metrics look normal: no signals lowering the index were found, or they are weak.

Compared with similar channels

Compared with 14 Psychology & Relationships catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 19 to 749,609 subscribers.

ERR (reach) lower than 13 of 14
@motivation_psychoIogy 3.5%
similar channels median 17.6%
Reactions per 100 views lower than 6 of 11
@motivation_psychoIogy 3.21
similar channels median 3.45

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 Aug 28 to Sep 21. The dashed line is the median (3,554).

02.1K4.2KAug 28: 3,346 viewsAug 28: 3,672 viewsAug 29: 3,512 viewsAug 30: 3,313 viewsAug 30: 3,515 viewsAug 30: 3,956 viewsAug 31: 4,218 viewsAug 31: 4,128 viewsSep 1: 4,035 viewsSep 2: 3,778 viewsSep 3: 3,537 viewsSep 3: 3,989 viewsSep 4: 4,153 viewsSep 5: 4,032 viewsSep 6: 4,034 viewsSep 7: 3,814 viewsSep 7: 3,666 viewsSep 8: 3,863 viewsSep 9: 3,572 viewsSep 9: 3,873 viewsSep 9: 3,913 viewsSep 10: 4,043 viewsSep 10: 3,789 viewsSep 11: 3,693 viewsSep 12: 3,784 viewsSep 13: 3,416 viewsSep 14: 3,006 viewsSep 14: 2,965 viewsSep 15: 2,588 viewsSep 15: 2,896 viewsSep 15: 3,006 viewsSep 16: 2,807 viewsSep 17: 2,662 viewsSep 18: 2,182 viewsSep 18: 2,247 viewsSep 19: 2,358 viewsSep 19: 2,300 viewsSep 19: 2,209 viewsSep 20: 2,143 viewsSep 21: 974 views Aug 28Sep 21
  • post views
  • 1 post newer than one day and still gaining views
  • median 3,554

Maximum: 4,218 views. Data as of Sep 21.

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

Cleanliness-index history

4 checks for this channel.

050100Jun 11: index 86, grade AJun 11Jun 12: index 86, grade AJun 12Aug 19: index 86, grade AAug 19Sep 21: index 90, grade ASep 21

Advertising outlook

Advertising placement: questionable.

Only a small share of subscribers sees the posts.

About 1,851–2,232 people will see your post in the first 48 hours.

Reach of advertising posts

Too few advertising posts to compare: 2. 1 more are too fresh.

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 @motivation_psychoIogy

Are there signs of audience manipulation on the channel?

The channel is clean: the risk score is 10 out of 100, and the dynamics of views and reactions look natural.

Why is advertising here considered questionable?

The reason is weak reach: posts are seen by only a small fraction of subscribers (the median is about 3.5 thousand per 100 thousand audience). Additionally, a concurrent drop in views and reader outflow has been recorded over the past month.

How many real views will an ad post receive?

You should expect around the median 3,554 views typical of recent posts. Since comments are closed, audience engagement is limited only to reactions.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-21
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 @motivation_psychoIogy assessment dated 2026-09-21 uses 40 recent public posts. At that snapshot the channel had 100,142 subscribers, median post views were 3,554, ERR was 3.5%, and the cleanliness index was 90/100.
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.