Telegram RegisterThe public register of Telegram
Telegram profile photo for Екатерина Лонская

Channel

Екатерина Лонская

@lonskayaekaterina

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

11,673subscribers

+36 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001767629399
TypeChannel
Username@lonskayaekaterina
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/lonskayaekaterina

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

11,62211,68111,651.57 August 2026 — 11,637 subscribers8 August 2026 — 11,637 subscribers9 August 2026 — 11,635 subscribers11 August 2026 — 11,633 subscribers12 August 2026 — 11,632 subscribers13 August 2026 — 11,633 subscribers15 August 2026 — 11,639 subscribers17 August 2026 — 11,633 subscribers18 August 2026 — 11,641 subscribers19 August 2026 — 11,639 subscribers20 August 2026 — 11,641 subscribers21 August 2026 — 11,637 subscribers22 August 2026 — 11,634 subscribers24 August 2026 — 11,630 subscribers25 August 2026 — 11,627 subscribers26 August 2026 — 11,626 subscribers27 August 2026 — 11,629 subscribers28 August 2026 — 11,630 subscribers29 August 2026 — 11,628 subscribers30 August 2026 — 11,637 subscribers31 August 2026 — 11,638 subscribers1 September 2026 — 11,637 subscribers2 September 2026 — 11,635 subscribers3 September 2026 — 11,629 subscribers9 September 2026 — 11,622 subscribers11 September 2026 — 11,624 subscribers13 September 2026 — 11,659 subscribers15 September 2026 — 11,681 subscribers17 September 2026 — 11,680 subscribers19 September 2026 — 11,673 subscribers11,6737 August 202619 September 2026
30 measurements spanning 43 days, net +36. 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 11,613–11,690 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
19 Sept 2026, 16:5611,673-7
17 Sept 2026, 03:4111,680-1
15 Sept 2026, 05:0111,681+22
13 Sept 2026, 15:3711,659+35
11 Sept 2026, 16:4111,624+2
9 Sept 2026, 03:1711,622-7
3 Sept 2026, 22:3811,629-6
2 Sept 2026, 10:1211,635-2
1 Sept 2026, 12:3411,637-1
31 Aug 2026, 12:0411,638+1
30 Aug 2026, 15:3411,637+9
29 Aug 2026, 18:1711,628-2
28 Aug 2026, 18:3411,630+1
27 Aug 2026, 21:3311,629+3
26 Aug 2026, 18:2711,626-1
25 Aug 2026, 16:4211,627-3
24 Aug 2026, 16:5711,630-4
22 Aug 2026, 21:5611,634-3
21 Aug 2026, 14:4611,637-4
20 Aug 2026, 11:1211,641first reading

Engagement

14 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 45 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.4%
avg views ÷ 11,673 subscribers
Avg views / post
2,030
2 posts measured
Reaction rate
5.67%
reactions ÷ views · ER floor
Posts in window
2
of 14 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 30 August 2026
Posts held14 (22 July 202630 August 2026)
Views total4,060
Reactions total230
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:27 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
2m 03s
Average length
41s

Measured directly from 3 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

1,397 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 51.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥71651.3%
45532.6%
👍835.94%
👏755.37%
❤‍🔥362.58%
🥰251.79%
🎉40.286%
🍓30.215%

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 12 of the 14 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 1,397 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 22 July 2026 to 30 August 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

30 Aug 2026, 07:33 UTC≈1,510 views71 reactionsread 3 September 2026
Photo

Стабильность результатов операции — это возможность смотреть на пациентов спустя 1 год и более. На фото прекрасная пациентка ЕА Лонской после эндоскопического лифтинга лба и бровей, височного лифтинга. После операции прошло больше 2 ЛЕТ. Также пациентка проходила лечение ортодонтическое лечение в клинике ОРТОинтеллект💫

37🔥28👏6

25 Aug 2026, 10:59 UTC≈2,550 views159 reactionsread 3 September 2026
Photo

Давайте посмотрим, как выглядит «перераспределение» грыж в области нижних век. От разметки и 1 суток после операции до 1 года! Такая техника позволяет избежать западения в области нижних век и развития скелетезации орбиты, а также избежать необходимости корректировать «провалы» филлерами !

95🔥43👍13👏8

21 Aug 2026, 11:31 UTC≈2,910 views44 reactionsread 3 September 2026
Photo

О том, как важен белок и его количество в рационе, сейчас говорят больше, чем когда либо! В интервью главного технолога высокобелковых продуктов Exponenta Сергея Красоцкого нашли еще один интересный способ подсчитывать белок и определять, насколько обещания производителя соответствуют реальной пищевой ценности продуктов. А тут мы уже рассказывали о принципе питания «30-30-3» доктора Эми Шах и о том, как определить,

👏25👍16🥰3

20 Aug 2026, 07:08 UTC≈2,680 viewsread 3 September 2026
Poll

Видна ли вам разница между 2 и 3 месяцем после операции?

  1. Да, отек меньше и результат более мягкий и естественный 🫶🏼45%
  2. Нет, выглядит примерно одинаково 🤷🏻‍♀️14%
  3. Рассмотрел/а разницу только при внимательном изучении 🔎5%
  4. Красиво и через 2 и через 3 месяца 😍42%

The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

20 Aug 2026, 07:06 UTC≈2,570 views97 reactionsread 3 September 2026
Photo

Показываем сегодня фотографии для самых внимательных пациентов, чтобы вы могли проанализировать и рассмотреть эти фотографии. Видна ли вам разница между результатом через 2 и через 3 месяца после операции? Оставляйте свои реакции ниже 💫

50🔥37👏7🥰3

11 Aug 2026, 06:51 UTC≈3,450 views190 reactionsread 3 September 2026
Photo

Эндоскопический лифтинг лба и бровей, височный лифтинг, верхняя блефаропластика 2.5 года после операции

🔥13240👍13👏5

31 Jul 2026, 09:26 UTC≈4,070 views127 reactionsread 25 August 2026
Video

Любуемся ранним результатом расширенной эндоскопии с височным лифтингом и коррекцией формы глаз (из каплевидно-круглой в миндалевидную) 1 месяц после операции

🔥8426👏11🥰6

29 Jul 2026, 09:30 UTC≈3,450 views57 reactionsread 21 August 2026
Photo

Все, кто интересуется трендами в правильном питании, наверняка слышали о пользе «пищевых горечей». Горькие продукты улучшают пищеварение, стимулируют выработку желчи, помогают контролировать аппетит, поддерживают здоровье печени и снижают тягу к сладкому. В идеале включать горькие продукты в каждый прием пищи. Подготовили для вас простую шпаргалку и вдохновение для летнего салата 💫

👍3717🥰3

28 Jul 2026, 06:42 UTC≈3,260 views115 reactionsread 19 August 2026
Photo

Делимся с вами результатом Толгонай — красавицы, которую ЕА прооперировала 3.5 года назад 🥰 Девушка невероятной красоты приехала из Коста-Рики специально на прием к ЕА и у них с Екатериной Александровной была долгая и непростая консультация, ведь каких-то возрастных показаний к операции у девушки не было. Основной запрос на «раскрытие потенциала внешности и лучшую версию себя» звучал как основной. И спустя 3.5 года

🔥7732👍4🥰2

26 Jul 2026, 07:33 UTC≈3,110 views232 reactionsread 19 August 2026
Photo

В это воскресенье хотим просто порадовать вас фотографиями пациентов. Пять лет после операции и с каждым годом только лучше! И все эти годы любовь и благодарность доктору 💫

🔥14472❤‍🔥16

25 Jul 2026, 07:36 UTC≈3,020 views86 reactionsread 19 August 2026
Video

На видео результат через 1 год 3 месяца после расширенной эндоскопической подтяжки верхней и средней третей лица и височного лифтинга и перераспределения грыж в области нижних век(Лонская Е.А.) и ортогнатической операции (Куракин К.А.) 💫

🔥66👏12🎉42🍓2

24 Jul 2026, 06:50 UTC≈3,270 views109 reactionsread 19 August 2026
Photo

Каждый пациент так или иначе пытается спрогнозировать , какой результат получится после операции. Девушки подтягивают брови перед зеркалом, анализируют — а не будет ли слишком высоко? А не получится ли удивленнвй взгляд? А как будет выглядеть лоб? И так далее. Результат от эндоскопии заключается в первую очередь в гармонизации лица. Все остается как будто бы точно также, но лицо выглядит значительно лучше. Общее впе

🔥7123🥰8❤‍🔥6🍓1

Showing the 12 most recent of 14 posts we hold for @lonskayaekaterina. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

20 Aug 2026, 07:08 UTCAnonymous Poll212 voters

Видна ли вам разница между 2 и 3 месяцем после операции?

  1. Да, отек меньше и результат более мягкий и естественный 🫶🏼45%
  2. Нет, выглядит примерно одинаково 🤷🏻‍♀️14%
  3. Рассмотрел/а разницу только при внимательном изучении 🔎5%
  4. Красиво и через 2 и через 3 месяца 😍42%

The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 14 most recent posts we hold, published 22 July 2026 to 30 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 1 registered channel — 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.

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.

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.

Пластический хирург Николаева Сандара Афанасьевна
@drNikolaevaSandara · 89,735
Telegram ranks this channel #28 of 79 here — alongside 78 others — read 17 August 2026
Доктор Мельников
@drmelnikov · 25,653
Telegram ranks this channel #39 of 79 here — alongside 78 others — read 13 September 2026
Доктор Карапетян. Пластический хирург
@drkarapetyan · 64,155
Telegram ranks this channel #41 of 60 here — alongside 59 others — read 22 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Екатерина Лонская” (@lonskayaekaterina), 11,673 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/lonskayaekaterina.

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.