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@redakciya_nauka: statistics and cleanliness index

Редакция.Наука

Телеграм-канал «Редакция.Наука» Реклама только через биржу: https://telega.in/c/redakciya_nauka YouTube https://bit.ly/3xf4SXA Регистрация РКН: https://knd.gov.ru/license?id=676411be506f9677283ea1ac&registryType=bloggersPermis 💌ad.nauka@yandex.ru

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Grade A+ metrics look normal cleanliness index
data from 2026-10-04
Subscribers
31,791
Median views
3,844
ERR
12.1%
Posts sampled
40
Niche Science
Post language Russian
Channel age 4 years

Data from 2026-10-04 — 5 days old.

Assessment summary

A popular science channel featuring short notes on science, history, and nature. Engagement remains high: 2.66% of readers leave reactions, which is higher than 8 out of 9 similar channels in the directory.

However, no posts have been published for over two months, and part of the message history has been deleted (around 41% of IDs are skipped). While the feed remains inactive, predicting ad post reach is difficult.

What to pay attention to

Some messages were deleted: ≈41% of IDs skipped

There are many gaps in the numbering of the channel's recent messages — some of them have been deleted. Message IDs are counted rather than posts: each photo in an album has its own ID. Deleted posts are not visible, so the remaining ones offer only a partial view of the channel.

What grade A+ means

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

Dynamics and anomalies

Views by post

The latest 40 posts with views, from Jul 17 to Jul 26. The dashed line is the median (3,844).

05.1K10KJul 17: 3,824 viewsJul 18: 4,143 viewsJul 18: 3,904 viewsJul 18: 3,708 viewsJul 18: 3,685 viewsJul 18: 3,644 viewsJul 19: 3,512 viewsJul 19: 3,862 viewsJul 19: 3,745 viewsJul 19: 3,809 viewsJul 20: 3,790 viewsJul 20: 3,738 viewsJul 20: 3,760 viewsJul 20: 4,284 viewsJul 20: 4,192 viewsJul 21: 3,741 viewsJul 21: 3,709 viewsJul 21: 3,509 viewsJul 21: 4,069 viewsJul 22: 3,684 viewsJul 22: 3,529 viewsJul 22: 3,715 viewsJul 22: 3,826 viewsJul 23: 3,577 viewsJul 23: 3,818 viewsJul 23: 4,111 viewsJul 23: 4,221 viewsJul 23: 4,011 viewsJul 24: 3,925 viewsJul 24: 3,982 viewsJul 24: 3,933 viewsJul 24: 5,728 viewsJul 24: 3,807 viewsJul 25: 3,977 viewsJul 25: 3,874 viewsJul 25: 4,062 viewsJul 25: 4,846 viewsJul 26: 5,549 viewsJul 26: 7,768 viewsJul 26: 10,104 views Jul 17Jul 26
  • post views
  • median 3,844

Maximum: 10,104 views. Data as of Oct 4.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

3 checks for this channel.

050100Jun 18: index 97, grade A+Jun 18Aug 15: index 50, grade DAug 15Oct 4: index 96, grade A+Oct 4

Advertising outlook

Advertising placement: questionable.

The channel has gone quiet — ask the owner when the next post is due.

Not enough posts for a forecast.

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 @redakciya_nauka

What is the integrity index of the Редакция.Наука channel?

The integrity index is 96 out of 100, which corresponds to an A+ grade and the 'metrics are normal' level. Views and reactions look natural, with the only concern being the deletion of some messages, which resulted in about 41% of IDs being skipped.

How is the audience's attention distributed across posts?

Median reach is around 3,844 views per post with an ERR of 12.1%, and the reaction rate reaches 2.66% of views. Meanwhile, the subscriber base over the last three months has gradually decreased from 32.5k to 31.8k.

Is advertising on the channel justified?

The advisability of ad placement is currently considered questionable. The reason is the downtime: no new posts have appeared for 69 days, making it difficult to predict the actual return on an integration without regular traffic.

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 @redakciya_nauka assessment dated 2026-10-04 uses 40 recent public posts. At that snapshot the channel had 31,791 subscribers, median post views were 3,844, ERR was 12.1%, and the cleanliness index was 96/100.
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.