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@diffshi: statistics and cleanliness index

diffshi.store

tt @Позер Покупка @Zitsekond Заказы с Китая/Европы @Zitsekond Реклама/вопросы @Zitsekond отзывы: https://t.me/diffshiifeedback

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Grade B metrics look normal cleanliness index
data from 2026-10-19
Subscribers
945
Median views
384
ERR
40.6%
Posts sampled
40
Niche Fashion
Post language Russian
Channel age 2 years

Data from 2026-10-19 — 18 days old.

Assessment summary

A store of replica sneakers and outerwear: the feed consists almost entirely of short “Are we bringing them in?” posts with photos of pairs of Nike, BAPE, CP Company and wholesale offers from 8 pairs.

Over the last 37 days, the base grew from 365 to 945 subscribers, but the share of those who see a post is still lower than in most similar channels in the catalog: ERR 40.6% versus the median 49.4%, and reactions are also half their median. With 5.6 posts per day, an announcement quickly leaves the visible part of the feed, and views are almost the same across all posts — it will not be possible to stand out by reach against other publications.

About the channel

A clothing and footwear store channel: here they show pairs of sneakers and outerwear that the owner brings from China and Europe, and ask subscribers what to stock next. It has been run for two years, all posts are in Russian, the format is short captions and photos, less often videos.

In the catalog, next to it are @nahodki_wildberriesy with finds from Wildberries, @yuliya_kitai about shopping in China, and @cinziamasha with items in stock and made to order. This channel has fewer subscribers than each of them, but a larger share of its base sees a post than for @nahodki_wildberriesy and @yuliya_kitai, and a smaller share than for @cinziamasha.

What it publishes:

  • Sneakers: photos of pairs of Nike, BAPE and Jordan with sizes and price per pair.
  • Outerwear: CP Company down jackets and Napapijri jackets.
  • Assortment polls: “Are we bringing them in?”, “Which color” — subscribers decide what to stock.
  • Wholesale: offers from 8 pairs with a discount per pair.

Posts come out mainly in the evening and daytime, more often on weekdays. By number of subscribers, the channel is in the lower third of the “Fashion” niche. The feed is short notes and photos several times a day, without forwards and third-party advertising.

By subscribers, it ranks #22 of 26 channels in the Fashion niche of the catalog.

What to pay attention to

Views are more even than usual (CV ≈ 0.15)

The spread of views between posts is lower than channels usually have (0.15–0.6): posts collect almost the same number of views.

What grade B means

Metrics are mostly normal; one or two weak signals lower the index.

Compared with similar channels

Compared with 20 Fashion catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 46 to 158,832 subscribers.

ERR (reach) at the median
@diffshi 40.6%
similar channels median 42.7%
Reactions per 100 views lower than 12 of 18
@diffshi 0.75
similar channels median 1.38

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 Oct 11 to Oct 18. The dashed line is the median (384).

0236472Oct 11: 356 viewsOct 11: 386 viewsOct 11: 393 viewsOct 11: 396 viewsOct 11: 407 viewsOct 11: 407 viewsOct 12: 416 viewsOct 12: 416 viewsOct 12: 398 viewsOct 12: 391 viewsOct 12: 388 viewsOct 12: 391 viewsOct 12: 394 viewsOct 12: 415 viewsOct 12: 423 viewsOct 12: 436 viewsOct 12: 472 viewsOct 13: 404 viewsOct 14: 389 viewsOct 14: 385 viewsOct 14: 394 viewsOct 14: 384 viewsOct 15: 373 viewsOct 15: 372 viewsOct 16: 332 viewsOct 16: 332 viewsOct 16: 321 viewsOct 16: 324 viewsOct 16: 301 viewsOct 16: 301 viewsOct 16: 331 viewsOct 16: 313 viewsOct 16: 321 viewsOct 17: 323 viewsOct 17: 300 viewsOct 17: 311 viewsOct 18: 267 viewsOct 18: 260 viewsOct 18: 254 viewsOct 18: 251 views Oct 11Oct 18
  • post views
  • 4 posts newer than one day and still gaining views
  • median 384

Maximum: 472 views. Data as of Oct 19.

What scoring found in the view pattern

Views are more even than usual (CV ≈ 0.15)

The spread of views between posts is lower than channels usually have (0.15–0.6): posts collect almost the same number of views.

Cleanliness-index history

2 checks for this channel.

050100Sep 11: index 98, grade A+Sep 11Oct 19: index 70, grade BOct 19

Advertising outlook

Advertising placement: reasonable.

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.

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

Questions about @diffshi

Is the channel clean?

The cleanliness index is 70 out of 100, grade B, level “metrics within normal range”: the check found no notable deviations.

What is the reach of posts?

The median views are 384 with 945 subscribers, which is about 40.6% of the base. In most similar channels in the catalog, the share of subscribers who see a post is higher.

Is it worth advertising here?

The check assessed the placement as justified. At the same time, there were no advertising posts in the sample, so the reach of advertising publications was not measured separately.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-19
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 @diffshi assessment dated 2026-10-19 uses 40 recent public posts. At that snapshot the channel had 945 subscribers, median post views were 384, ERR was 40.6%, and the cleanliness index was 70/100.
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/obsessed_with_ai.