Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 78% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
35 measurements spanning 53 days, net -483. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 46,745–47,379 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
27 Sept 2026, 18:56
46,818
-89
17 Sept 2026, 20:21
46,907
-33
15 Sept 2026, 15:57
46,940
-10
13 Sept 2026, 20:41
46,950
-32
12 Sept 2026, 05:38
46,982
-23
10 Sept 2026, 00:17
47,005
-28
6 Sept 2026, 17:35
47,033
-29
4 Sept 2026, 08:40
47,062
-8
2 Sept 2026, 20:25
47,070
-5
1 Sept 2026, 16:14
47,075
-19
31 Aug 2026, 13:56
47,094
-2
30 Aug 2026, 15:13
47,096
-8
29 Aug 2026, 13:17
47,104
+10
28 Aug 2026, 14:14
47,094
-15
27 Aug 2026, 17:36
47,109
-2
26 Aug 2026, 14:36
47,111
-15
25 Aug 2026, 13:58
47,126
-19
24 Aug 2026, 11:28
47,145
-27
22 Aug 2026, 21:26
47,172
-20
21 Aug 2026, 13:29
47,192
first reading
Engagement
91 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 107 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.4%
avg views ÷ 46,818 subscribers
Avg views / post
7,200
35 posts measured
Reaction rate
2.77%
reactions ÷ views · ER floor
Posts in window
35
of 91 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 September 2026
Posts held
91 (31 July 2026 – 28 September 2026)
Views total
252,100
Reactions total
6,991
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 06:00 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈15,700
Videos
≈2,540
Links
≈1,440
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
4m 06s
Average length
31s
Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
17,658 reactions across 91 posts, in 13 distinct kinds. The most used accounts for 72.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,845
72.7%
🔥
1,980
11.2%
🥰
915
5.18%
😁
728
4.12%
👍
353
2.00%
🎉
323
1.83%
👏
280
1.59%
👎
93
0.527%
🤔
37
0.21%
😢
32
0.181%
🤯
26
0.147%
😱
23
0.13%
🤬
23
0.13%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 91 of the 91 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 17,658 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 91 most recent posts we hold, published 31 July 2026 to 28 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
1,406
across the posts below
Posts paid on
43
of 91 we hold a reading for · 47%
Most on one post
150
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @shipilovaks. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 91 most recent posts we hold for this entry, published 31 July 2026 to 28 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
В Милане самым главным моментом для меня было касание с брендом Attico.
У меня была большая съемка с Джорджией Пендлбери с архивами коллекций Attico. Джорджия плотно работает с брендом, стилизует показы Attico и их кампейны.
А через день состоялось шоу, куда меня пригласили. После показа я ходила на бэкстейдж, где Джорджия все мне показала.
Я просто обожаю Attico и думаю начать вновь интегрировать его больше в свою ж…
Извините, но я не перестаю считать, что самая модная россиянка на неделях моды в Париже и Милане – это Ксюша Шипилова. Хвалю за то, что не боится экспериментировать и выглядеть нестандартно.
«Светский Интроверт» в МАХ
Бренд Bottega у меня плотно ассоциируется с Ксюшей Смо.
Она всегда говорит мне: «Ты достойна самого лучшего!» и после этих слов мы обычно идем в Боттегу.😂
Поэтому я со своей стороны убедила Ксению, что мы должны идти на показ вместе, либо никак! Хотя было сложно, Ксения человек не публичный, и всегда уходит в тень.
Но как увидите, все сложилось, я ее убедила! 🥳
Какой крутой народ ходит на Bottega. Вообще 🔥
Менеджеры Gucci явно недовольны, что я была в винтажной крокодиловой куртке. Сегодня мне сказали «we have problems with your jacket, everyone asked about it!!»😂😂😂
Каждый день после показа проходит re-see новой коллекции.
Конечно, большинству людей после шоу ехать куда-либо лень, но это проявление уважения к бренду, да и в целом, можно увидеть все поближе.
Хоть многие и хейтят Демну за этот показ, а мне очень зашел. Понятен портрет его героя, и он мне нравится
Я на показе Gucci.
Демна, конечно, молодец! Крутой.
По силуэтам, посадке вещей Gucci мне нравится гораздо больше, чем Chanel. Прям вайб!
Стилизовала меня на показ Джорджия Пендлбери. Вчера у нас была большая совместная съемка, и на сегодняшний показ Gucci и Attico собирала меня она 🖤
На мне все - винтаж Gucci. Крокодиловая куртка времен Фриды Джаннини в Gucci. Смешно даже говорить, за какую цену она мне досталось в…
Чудесное начало дня- визажист не приехала! узнала я об этом, когда стилист по волосам сказала, что будет делать мне макияж.
Честно, никогда не сталкивалась с этим 😂 настолько, что вошла в ступор.
Все очень в спешке, видео, фото, примерки.
Сейчас уже еду на показ, опаздываю. бззззз😢
Вчера получила заветное сообщение, что мой дом введен к эксплуатацию. Скоро начнется длинный путь ремонта ❤️
Теперь хожу и подглядываю через витрины интерьерных магазинов с бОльшим удовольствием.
Самое интересное, пожалуй, в том, что клиентов зачастую привлекают именно разные фишки в виде гаджетов или необычных элементов, которые косметологи и другие профессионалы добавляют в свои уходы. Например, я обратила внимание на Алессандру Раччиззи, потому что видела у многих этот этап с аппаратом с LED-лампой, и мне тоже захотелось попробовать. То есть именно за счёт красивой, эффектной детали у меня возникло желание…
Мой Милан начинается с исследования местной эстетической косметологии. За пару недель до приезда я запланировала визит к почти легендарному эстетисту Алессандре Риччиззи. Меня привлекали ее техники массажа face lift и гаджеты.
В целом мне очень понравилось. К сожалению, Алессандра почти не говорит по-английски, в основном я общалась с ее помощницей. Поэтому подробностей об уходе я не узнала. Но по итогу процедуры я …
❤122🔥25🤔14👍4👏1
Showing the 12 most recent of 91 posts we hold for @shipilovaks. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 9 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
SteshaMalikova @malikovastesha · 20,591 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 26 September 2026
Lebedeva_____katerina @ekaterinalebedevaa · 23,063 Telegram ranks this channel #2 of 64 here — alongside 63 others — read 19 September 2026
Viki Odintcova @viki_odi · 23,958 Telegram ranks this channel #2 of 67 here — alongside 66 others — read 17 September 2026
что ношу, куда хожу @dana_manasir · 28,075 Telegram ranks this channel #2 of 64 here — alongside 63 others — read 9 September 2026
Lena Perminova @lenaperminova_official · 79,175 Telegram ranks this channel #3 of 79 here — alongside 78 others — read 18 August 2026
Inside out with Irma @irmadaily · 26,502 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 12 September 2026
Доступный стиль by Tsvetaeva @korolevatsvetaeva · 27,823 Telegram ranks this channel #4 of 65 here — alongside 64 others — read 10 September 2026
Мамка блогеров @bloggers_mama · 20,032 Telegram ranks this channel #5 of 96 here — alongside 95 others — read 29 September 2026
Diana Manasir @bydianamanasir · 26,734 Telegram ranks this channel #5 of 69 here — alongside 68 others — read 11 September 2026
lamoda на связи @lamoda_na_svyazi · 44,534 Telegram ranks this channel #5 of 33 here — alongside 32 others — read 27 August 2026
DK @klyukinad · 26,969 Telegram ranks this channel #7 of 76 here — alongside 75 others — read 11 September 2026
A L E K Ó @aleko_n17 · 102,738 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 15 August 2026
Shatilova @shatilova_liza · 72,685 Telegram ranks this channel #8 of 73 here — alongside 72 others — read 19 August 2026
PERVERT @perrverrt · 23,084 Telegram ranks this channel #11 of 71 here — alongside 70 others — read 19 September 2026
The ARTICLE / Искусство ближе @the_article_about_art · 27,949 Telegram ranks this channel #11 of 82 here — alongside 81 others — read 15 September 2026
Marianna Eliseeva @mariannaeliseeva · 95,102 Telegram ranks this channel #11 of 73 here — alongside 72 others — read 16 August 2026
Вика, расскажи-ка! @vika_manasir · 21,841 Telegram ranks this channel #12 of 78 here — alongside 77 others — read 23 September 2026
SERDAR KAMBAROV @serdarkambarov · 24,380 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 16 September 2026
Copy Me @copyme · 26,833 Telegram ranks this channel #12 of 89 here — alongside 88 others — read 11 September 2026
Drunk_fashion @drunkfashion · 40,019 Telegram ranks this channel #12 of 89 here — alongside 88 others — read 30 August 2026
mine dandelion wine @semak_anna · 36,734 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 1 September 2026
Sveta Bondarchuk @lovepeacesvet · 54,356 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 23 August 2026
Veronika14 @veronika14 · 62,564 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 21 August 2026
KK @kseniadenisovna · 33,821 Telegram ranks this channel #14 of 90 here — alongside 89 others — read 3 September 2026
This channel appears in 216 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Kseniya Shipilova” (@shipilovaks), 46,818 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/shipilovaks.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.