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Channel

Меньше — значит больше

@xellaclinic

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,400subscribers

+6,382 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001463899586
TypeChannel
Username@xellaclinic
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/xellaclinic

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.

Growth

1,0187,6804,3497 August 2026 — 1,018 subscribers7 August 2026 — 1,018 subscribers10 August 2026 — 1,020 subscribers13 August 2026 — 1,022 subscribers16 August 2026 — 1,054 subscribers19 August 2026 — 1,071 subscribers23 August 2026 — 1,076 subscribers26 August 2026 — 1,098 subscribers29 August 2026 — 1,492 subscribers2 September 2026 — 1,531 subscribers5 September 2026 — 1,691 subscribers10 September 2026 — 2,570 subscribers14 September 2026 — 3,090 subscribers18 September 2026 — 3,549 subscribers28 September 2026 — 4,901 subscribers6 October 2026 — 4,535 subscribers12 October 2026 — 6,870 subscribers15 October 2026 — 6,241 subscribers18 October 2026 — 6,266 subscribers21 October 2026 — 6,297 subscribers24 October 2026 — 6,434 subscribers26 October 2026 — 6,673 subscribers29 October 2026 — 7,036 subscribers1 November 2026 — 7,680 subscribers4 November 2026 — 7,594 subscribers7 November 2026 — 7,400 subscribers7,4007 August 20267 November 2026
26 measurements spanning 92 days, net +6,382. 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 19–8,679 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
7 Nov 2026, 16:207,400-194
4 Nov 2026, 17:377,594-86
1 Nov 2026, 15:247,680+644
29 Oct 2026, 20:117,036+363
26 Oct 2026, 23:296,673+239
24 Oct 2026, 01:096,434+137
21 Oct 2026, 01:216,297+31
18 Oct 2026, 08:106,266+25
15 Oct 2026, 07:516,241-629
12 Oct 2026, 06:366,870+2,335
6 Oct 2026, 00:204,535-366
28 Sept 2026, 07:584,901+1,352
18 Sept 2026, 23:383,549+459
14 Sept 2026, 08:003,090+520
10 Sept 2026, 15:412,570+879
5 Sept 2026, 20:191,691+160
2 Sept 2026, 01:381,531+39
29 Aug 2026, 14:531,492+394
26 Aug 2026, 11:331,098+22
23 Aug 2026, 08:151,076first reading

Engagement

19 posts held, back to 23 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 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.4%
avg views ÷ 7,400 subscribers
Avg views / post
843
12 posts measured
Reaction rate
18.3%
reactions ÷ views · ER floor
Posts in window
12
of 19 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
WindowRolling 30 days · latest post in window 5 November 2026
Posts held19 (23 July 2026 – 5 November 2026)
Views total10,118
Reactions total1,848
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 12:52 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

Video runtime
11s
Average length
11s

Measured directly from 1 video 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

1,861 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 53.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤98853.1%
🔥24713.3%
👍1487.95%
❤‍🔥1005.37%
👏874.67%
🥰824.41%
😍573.06%
💯532.85%
😁492.63%
🎉291.56%
🤯80.43%
🍌50.269%
☃30.161%
😐20.107%
⚡10.054%
💔10.054%
💘10.054%

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 17 of the 19 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 1,861 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 23 July 2026 to 5 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 11:55 UTC329 views34 reactionsread 7 November 2026

Скинбустер из донорской кожи: что стоит за феноменом Re20 Азиатский бьюти-рынок снова взорвал мировое инфополе. Главная тема дискуссий последних месяцев — корейский скинбустер Re20 (буквально: Return to Your 20s — «Вернись в свои двадцать»), вокруг которого развернулись нешуточные споры. Сырьем для препарата служит донорская человеческая кожа: корейский производитель масштабно закупает ее в тканевых банках США. Тех…

❤26🤯8

5 Nov 2026, 08:17 UTC391 views38 reactionsread 7 November 2026

Чтобы объяснить, почему мы так ждем Fotona (и почему наши врачи сейчас с таким энтузиазмом проходят обучение), нужно немного погрузиться в историю. История Fotona — это вообще не про быстрые бьюти-тренды на пару сезонов. Это про фундаментальную, почти академическую науку. Давайте немного отмотаем время назад. 1964 год. Всего четыре года назад физики создали самый первый в мире лазер. И именно в этот момент в Люблян…

❤24👍14

3 Nov 2026, 08:38 UTC731 views130 reactionsread 7 November 2026

Если в ближайшие дни вы заметите, что наши врачи слишком сосредоточены — не пугайтесь. Мы просто снова сели за парты 🤓 Мы в Xella готовимся к большому (и очень долгожданному) обновлению. Скоро в клинике появится лазерная система Fotona. В нашей концепции оборудование должно быть ювелирным: давать видимый, физиологичный результат, но не выбивать вас из жизни. Fotona — именно такая. Это единственная система, которая …

❤71👍32😍27

30 Oct 2026, 10:02 UTC≈1,480 views629 reactionsread 7 November 2026
Photo

КОНКУРС WAU × XELLA ✨ XELLA — клиника эстетической медицины, где исцеление происходит не через давление и идеалы, а через уважение, эстетику и бережный контакт с собой. ✨ WAU — эксперты в сфере красоты и здоровья. Мы создаём премиальные гаджеты для лица и тела, которые помогают заботиться о себе в комфортных домашних условиях. 💛 ПРИЗ MIO2 New — инновационный гаджет для ухода за лицом и телом, объединяющий три тех…

❤349🔥130❤‍🔥100🥰39🍌5☃3👍3

30 Oct 2026, 07:45 UTC878 views180 reactionsread 7 November 2026
Photo

Акции в ноябре в Xella — онлайн-запись

❤106👍54👏20

29 Oct 2026, 10:42 UTC≈1,620 views412 reactionsread 7 November 2026
Photo

Как мы говорили, домашние девайсы и профессиональная косметология — это не конкуренты, а идеальный союз, где одно усиливает другое. Но на практике есть проблема: бьюти-рынок перенасыщен портативными гаджетами. Найти среди сотен аппаратов те, что действительно работают, имеют доказательную базу и созданы с умом, а не ради маркетинга — сложная задача. Как мы и обещали, Xella берет роль вашего экспертного фильтра на с…

❤133👏67💯53🥰43🎉29👍28🔥25😁25

28 Oct 2026, 09:54 UTC449 views115 reactionsread 7 November 2026
Forwarded from @salavat_kypereVideo

Единственное, что меня беспокоит, это провисание овала лица. Морщины вообще меня не парят, если честно. До этого раз в год делала РФ, сейчас сделала себе ультраформер MPT - 4 smas lifting в XELLA CLINIC. Посмотрим на результат 👀 А вы что делаете, чтоб морду лица не тянуло к полу? 🤣

❤73😁24🔥18

27 Oct 2026, 11:21 UTC371 views83 reactionsread 7 November 2026

Домашние гаджеты и процедуры в клинике: конкуренция или идеальный мэтч? В бьюти-индустрии долгое время существовало два полярных мнения. Маркетинг домашних девайсов уверял: «Один прибор заменит визиты к косметологу». Ну, а профессиональное сообщество отвечало скепсисом, приравнивая любые домашние гаджеты к бесполезным игрушкам. Скажем честно: домашний девайс не способен заменить аппаратную косметологию в клинике. Н…

❤49👍17🔥17

25 Oct 2026, 12:40 UTC468 views74 reactionsread 7 November 2026

Про «тот самый укол»: почему мы не молчим о семаглутиде Сложно делать вид, что этой темы не существует. Кажется, сейчас в бьюти-индустрии нет более обсуждаемого явления, чем инъекции для снижения веса (семаглутид и его аналоги). О них шепчутся в раздевалках спортзалов, спорят в соцсетях и, чего уж греха таить, часто назначают сами себе «по совету блогера, чтобы скинуть 3–4 кг к отпуску». Нам часто задают вопрос: р…

❤47🔥27

22 Oct 2026, 10:50 UTC543 views57 reactionsread 7 November 2026

Зачем косметологам эндокринолог? (Спойлер: чтобы вы не делали лишних процедур) Кожа никогда не существует отдельно от всего организма. Она не капризничает «просто так» — она реагирует на команды изнутри. А главные дирижеры этих процессов — гормоны. Если пытаться решить внутреннюю проблему только шприцем или лазером, это напоминает попытку переклеить обои в комнате, где течет крыша. Красиво будет, но недолго :) Вот …

❤37🔥20

20 Oct 2026, 11:07 UTC458 views53 reactionsread 7 November 2026

Кажется, мы немного пожадничали… Полгода. Ровно столько в нашей команде работает эндокринолог Яна Юрьевна Романовская, а мы до сих пор толком о ней не рассказали (кроме поста-знакомства). Честно? Нам просто не очень хотелось делиться :) Врач классный, опытнейший, подход строго доказательный — в общем, редкая находка. Окошки к ней и так заполнялись сами собой, причём немалую часть бронировала наша же команда (потому…

❤32😍21

19 Oct 2026, 09:04 UTC≈2,400 views43 reactionsread 5 November 2026
Photo

Xella x Sorelle: Glow Era Бывают моменты, когда внешнее и внутреннее приходят в абсолютную гармонию. Когда не нужно соответствовать чужим идеалам — достаточно просто проявить то сияние, которое всегда было внутри. Клиника эстетической медицины Xella и бренд Sorelle Era объединились, чтобы создать ритуал, после которого хочется смотреть в зеркало с любовью и носить свою красоту с гордостью.

❤33🔥10

Showing the 12 most recent of 19 posts we hold for @xellaclinic. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 5 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Меньше — значит больше” (@xellaclinic), 7,400 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xellaclinic.

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.