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Channel

Dr.Malginova : косметолог Владивосток

@drmalginova

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

908subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001760779276
TypeChannel
Username@drmalginova
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/drmalginova

Growth

9089129107 August 2026 — 912 subscribers8 August 2026 — 912 subscribers8 August 2026 — 911 subscribers16 August 2026 — 908 subscribers7 August 202616 August 2026
4 measurements spanning 8 days, net -4. 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 907–913 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 04:48908-3
8 Aug 2026, 18:10911-1
8 Aug 2026, 01:02912no change
7 Aug 2026, 18:09912first reading

Engagement

17 posts held, back to 9 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.4%
avg views ÷ 908 subscribers
Avg views / post
212
7 posts measured
Reaction rate
6.46%
reactions ÷ views · ER floor
Posts in window
7
of 17 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 31 July 2026
Posts held17 (9 June 202631 July 2026)
Views total1,485
Reactions total96
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:02 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
1m 04s
Average length
1m 04s

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

247 reactions across 17 posts, in 14 distinct kinds. The most used accounts for 55.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13655.1%
🙏228.91%
👍187.29%
👏156.07%
🔥145.67%
custom 530085335689228770993.64%
💔93.64%
custom 533249071735482684262.43%
❤‍🔥52.02%
custom 534590030533260144741.62%
😱41.62%
😁31.21%
10.405%
😢10.405%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 17 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 247reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 9 June 2026 to 31 July 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

28 Jul 2026, 00:01 UTC181 views7 reactionsread 8 August 2026
Forwarded from @pkclinic_vlPhoto

Даже застарелые рубцы можно сделать менее заметными 👏 В этом случае мы работали со старым посттравматическим рубцом верхней губы с импрегнацией асфальтом, когда мельчайшие частицы остаются в коже после травмы. Провели лазерную шлифовку Дека всей зоны верхней губы. Во время процедуры лазер контролируемо воздействует на кожу, удаляя поврежденные слои и запуская активную выработку нового коллагена. Благодаря этому кож

🔥6❤‍🔥1

22 Jul 2026, 09:22 UTC247 views3 reactionsread 8 August 2026

Нужна модель 5 августа с рубцами постакне на лазерную шлифовку на очень выгодных условиях. Важно: ОГРАНИЧЕНИЯ ПО ЗАГАРУ ‼️ Писать в лс: @dr_malginova

👍3

21 Jul 2026, 00:09 UTC254 views14 reactionsread 8 August 2026

Что мы сделали? Обработали кожу, нанесли смесь из жидкого анестетика, регенерирующего геля и успокаивающего крема. Поверх закрыли воздухопроницаемой самофиксирующеймя пленкой. Люблю коллег, за то, что не дают скучать 😅

7👍4😁3

21 Jul 2026, 00:07 UTC230 views18 reactionsread 8 August 2026
Photo

Чем я занимаюсь между пациентами? Лечу ожоги после моря у коллег 😅😅

9👏4😱4🔥1

20 Jul 2026, 22:46 UTC201 views9 reactionsread 8 August 2026
Photo

Повязки, которые помогают мне сейчас много в работе. Нашла удобную таблицу.

5👍4

19 Jul 2026, 07:54 UTC240 views27 reactionsread 8 August 2026
Photo

Пожалуй, самый частый вопрос среди моих пациентов сейчас: когда в декретный отпуск и что дальше?) Дорогие мои, предварительно информация следующая: До конца лета мои рабочие дни по графику 2/2 с 9:00 до 19:00 В августе плановый отпуск с 3 по 13 число. Сентябрь-октябрь мои рабочие дни 2/2 попеременно по пол дня первая и вторая половина дня. В ноябре месяц буду в отпуске, администраторы будут формировать лист ожид

27

10 Jul 2026, 11:17 UTC244 views29 reactionsread 8 August 2026
Photo

Спасибо большое за такой душевный и важный отзыв моей пациентке 💔💔💔

21custom 53008533568922877095👍3

8 Jul 2026, 03:24 UTC262 views15 reactionsread 8 August 2026
Photo

Лечение старого посттравматического рубца с импрегнацией асфальтом (частицы асфальта остались в коже) Проведена: одна лазерная шлифовка на всю зону верхней губы, реабилитация 10 дней Результат спустя месяц: уменьшилась видимость рубца, осветлилась импрегнация, сгладились кисетные морщины

9👏5🔥1

6 Jul 2026, 06:37 UTC243 views6 reactionsread 8 August 2026
Photo

‼️ Заключительный очный обучающий семинар в 2026 году Регенерация вместо обезболивания: новый стандарт работы с телом ‼️ ВПЕРВЫЕ НА ДАЛЬНЕМ ВОСТОКЕ ❤️‍🔥 Коллеги, приглашаю вас на закрытый обучающий семинар по Протоколу регенеративной нейромышечной коррекции MR. Это запатентованная методика (Патент Чирковой Олеси Алексеевны), которая работает на стыке неврологии, мануальной и регенеративной медицины. Почему проток

6

4 Jul 2026, 05:55 UTC192 views6 reactionsread 8 August 2026

Только относительно недавно биопленки стали рассматривать как фактор, препятствующий процессу лечения кожных ран . Как показали стандартные микробиологические лабораторные испытания, хронические кожные раны часто не сопровождаются выраженными симптомами инфекции и имеют низкую бактериальную обсемененность. Однако стандартные микробиологические тесты оптимизированы для выращивания бактерий и адекватно не определяют б

👍42

4 Jul 2026, 05:28 UTC201 views11 reactionsread 8 August 2026
Photo

Спустя месяц лечения мы смогли закрыть раневой дефект! И это не просто раневой дефект. Это длительно незаживающая рана, которая мучала пациента 8 месяцев. И причин было две. Одна, конечно, плохое кровоснабжение внутри рубцового дефекта. Но вторая, более коварная - биопленка, сформировавшаяся поверх раневой поверхности. Поборов две эти причины, мы смогли закрыть рану. Сейчас еще на месяц рекомендованы гидрогелевы

🔥63👏2

Showing the 12 most recent of 17 posts we hold for @drmalginova. 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

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Dr.Malginova : косметолог Владивосток” (@drmalginova), 908 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/drmalginova.

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.