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@dgarenta: statistics and cleanliness index

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владельцы, @vipfreeton. @dgarent

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Grade D some metrics deviate cleanliness index
data from 2026-10-07
Subscribers
32
Median views
265
ERR
828.1%
Posts sampled
40
Niche Cryptocurrencies
Post language Russian
Channel age 11 months

Data from 2026-10-07 — 31 days old.

Assessment summary

The feed serves as a showcase for reviews and transaction screenshots of digital gift and username exchanges. Posts appear rarely — on average once every three days, and comments in the feed are disabled.

With a base of only 32 subscribers, posts gather noticeably more views (ERR 828.1% vs. a median of 16.4% for similar catalog channels), while all activity consists of uniform paid reactions with spikes up to 2438 stars per post. Due to such anomalies and the deletion of about 24% of message IDs, predicting the return on advertising is difficult.

What to pay attention to

Almost all reactions are of one type (100%)

The vast majority of reactions are the same emoji, although others are also available in the channel. Typically, reactions are distributed more diversely.

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 52 Cryptocurrencies catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 38 to 1,468,187 subscribers.

ERR (reach) higher than 51 of 52
@dgarenta 828.1%
similar channels median 17.1%
Reactions per 100 views higher than 38 of 45
@dgarenta 2.78
similar channels median 0.8

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

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from Apr 22 to Sep 28. The dashed line is the median (265).

0255511Apr 22: 490 viewsApr 22: 451 viewsMay 3: 423 viewsMay 3: 438 viewsMay 5: 489 viewsMay 5: 511 viewsMay 18: 431 viewsMay 18: 424 viewsJun 9: 337 viewsJun 15: 282 viewsJun 15: 282 viewsJun 19: 285 viewsJun 19: 284 viewsJun 19: 334 viewsJun 19: 333 viewsJun 20: 387 viewsJun 20: 388 viewsJun 29: 360 viewsJun 29: 386 viewsJul 14: 250 viewsJul 14: 233 viewsJul 16: 206 viewsJul 16: 207 viewsJul 16: 232 viewsJul 16: 246 viewsJul 17: 269 viewsJul 17: 262 viewsJul 19: 230 viewsJul 19: 232 viewsAug 11: 155 viewsAug 11: 153 viewsAug 13: 155 viewsAug 13: 161 viewsAug 31: 109 viewsSep 6: 98 viewsSep 6: 95 viewsSep 22: 37 viewsSep 22: 36 viewsSep 28: 15 viewsSep 28: 15 views Apr 22Sep 28
  • post views
  • median 265

Maximum: 511 views. Data as of Oct 7.

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.

050100Sep 11: index 50, grade DSep 11Oct 7: index 50, grade DOct 7

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.

Not enough posts for a forecast.

Reach of advertising posts

Too few advertising posts to compare: 1.

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 @dgarenta

Is it worth booking ads in the @dgarenta channel?

The advisability of ad placement is assessed as questionable. The purity index is 50 out of 100 (grade D, 'anomalies present' level), making it difficult to project the actual reach of an ad post in advance.

Why does post reach significantly exceed the subscriber count?

The median view count is 265 with 32 subscribers, resulting in an ERR of 828.1%. Similar verified catalog channels in this niche have a median rate of 16.4%.

What peculiarities were found in the channel's reactions?

All reactions under posts belong to a single type and are paid Stars. Abnormal spikes of up to 2438 stars were recorded on certain posts.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-07
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 @dgarenta assessment dated 2026-10-07 uses 40 recent public posts. At that snapshot the channel had 32 subscribers, median post views were 265, ERR was 828.1%, and the cleanliness index was 50/100.
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/obsessed_with_ai.