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@darknet_links_ru: statistics and cleanliness index

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Grade A+ metrics look normal cleanliness index
data from 2026-09-28
Subscribers
207,873
Median views
79,771
ERR
38.4%
Posts sampled
32
Niche Computer science
Post language Russian
Channel age 10 years

Data from 2026-09-28 — 10 days old.

Assessment summary

With commercial posts accounting for 53% of the feed and about 27% of posts being deleted, the platform operates as a dense advertising showcase.

Due to the constant stream of integrations, a new ad will quickly get lost, despite the high one-off reach of promotional posts.

What to pay attention to

Third-party spam in comments

The comments resemble spam mailings and self-promotion by 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

📣 Heavy advertising load

More than half of the posts promote third-party services, bots, and thematic platforms.

Compared with similar channels

Compared with 12 Computer science catalog channels whose metrics look normal. They are a similar size: 81,995 to 294,734 subscribers.

ERR (reach) higher than 12 of 12
@darknet_links_ru 38.4%
similar channels median 5.2%
Reactions per 100 views higher than 11 of 11
@darknet_links_ru 1.7
similar channels median 0.24

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 32 posts with views, from Feb 23 to Sep 25. The dashed line is the median (79,771).

0123K246KFeb 23: 52,721 viewsJan 6: 52,642 viewsJan 6: 73,010 viewsJan 6: 72,726 viewsJan 6: 72,985 viewsJan 6: 73,059 viewsMay 20: 79,651 viewsMay 20: 79,891 viewsMay 5: 80,044 viewsMay 5: 84,846 viewsMay 6: 85,178 viewsMay 6: 95,553 viewsMay 6: 99,465 viewsMay 6: 99,867 viewsMay 6: 100,008 viewsJun 14: 57,077 viewsJun 14: 90,016 viewsJun 14: 115,070 viewsJul 16: 98,282 viewsJul 16: 90,785 viewsJul 16: 246,023 viewsJul 17: 103,751 viewsJul 21: 156,464 viewsJul 21: 128,757 viewsAug 4: 54,028 viewsAug 19: 54,292 viewsAug 19: 23,767 viewsAug 27: 32,369 viewsAug 27: 29,569 viewsSep 9: 15,437 viewsSep 21: 7,456 viewsSep 25: 1,204 views Feb 23Sep 25
  • post views
  • median 79,771

Maximum: 246,023 views. Data as of Sep 28.

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.

050100Jun 12: index 15, grade FJun 12Sep 28: index 96, grade A+Sep 28

Advertising outlook

Advertising placement: questionable.

Too many ads — yours will get lost.

About 15,485–30,969 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 96,917 views versus 62,723 for regular posts — 55% higher.

Based on 18 advertising and 14 regular posts older than two days.

Without an ad label: 1 post.

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 @darknet_links_ru

What is the risk of manipulation on the @darknet_links_ru channel?

The risk index is 4 out of 100 (green level). Analysis of metrics and view distribution revealed no signs of statistics manipulation.

Why is ad placement considered questionable?

The channel is overloaded with ads: they take up more than 53% of the content, and some posts are later deleted. In such a dense stream of ads, an advertisement quickly loses readers' attention.

What reach do posts on the channel achieve?

The median reach is about 79.7 thousand views per post, covering approximately 38% of subscribers. Promotional posts gather an average of 96.9 thousand views.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-28
Sample
The latest 32 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 @darknet_links_ru assessment dated 2026-09-28 uses 32 recent public posts. At that snapshot the channel had 207,873 subscribers, median post views were 79,771, ERR was 38.4%, 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.