Channel
@klasko_training
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
75subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003591522440 |
|---|---|
| Type | Channel |
| Username | @klasko_training |
| Description | площадка для проведения медицинских мероприятий на базе легендарной клиники КЛАЗКО на Малой Грузинской запросить условия [email protected] |
| Created | Between 1 December 2025 and 21 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/klasko_training |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 21:17 | 75 | no change |
| 8 Aug 2026, 09:01 | 75 | first reading |
15 posts held, back to 21 May 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 20 July 2026 |
|---|---|
| Posts held | 15 (21 May 2026 – 20 July 2026) |
| Views total | 12 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 21:17 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.
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
19 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 36.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 36.8% | |
| 👍 | 4 | 21.1% | |
| 🔥 | 4 | 21.1% | |
| 👌 | 2 | 10.5% | |
| ⚡ | 1 | 5.26% | |
| 👎 | 1 | 5.26% |
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 8 of the 15 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 21 May 2026 to 20 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.
На прошлой неделе в Учебном центре КЛАЗКО прошло наставничество Екатерины Валерьевны Орловой — пластического и челюстно-лицевого хирурга, специалиста по реконструктивной хирургии лица. Мы собрали камерный круг хирургов — тех, кому важно видеть, спрашивать, обсуждать в реальном времени. Что мы показали и разобрали: •Реиннервацию лицевого нерва — сложнейшую микрохирургию, возвращающую пациенту улыбку и меняющую каче…
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Сегодня Е.В. Орлова проводит показательную операцию по реиннервации лицевого нерва на базе Учебного центра КЛАЗКО.
Video message, posted without a caption
Наставничество для пластических хирургов стартовало сегодня в Учебном центре ✴️14-15 ИЮЛЯ | ОРЛОВА ЕКАТЕРИНА ВАЛЕРЬЕВНА О хирурге: Орлова Екатерина Валерьевна — пластический и челюстно-лицевой хирург, научный сотрудник ФМБА России. 🔵Операции: — Реиннервация лицевого нерва — Антивозрастная хирургия лица: эндоскопический лифтинг, блефаропластика, чек-лифтинг, SMAS — Ринопластика — Гениопластика --- 📩 Как попасть На…
10 дней в операционной с Алексеем Анисимовым Учебный центр КЛАЗКО приглашает вас на программу наставничества под руководством Алексея Юрьевича Анисимова — пластического хирурга, кандидата медицинских наук, доцента кафедры эстетической хирургии Академии постдипломного образования ФМБА России. Даты: 17–26 июля 2026 Место: Учебный центр клиники КЛАЗКО (Москва) Формат: очное присутствие Об эксперте Алексей Юрьевич А…
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Реиннервация лицевого нерва от Е.В. Орловой 📅 15 июля 2026 | Учебный центр КЛАЗКО Очный формат участия. О хирурге: Орлова Екатерина Валерьевна — пластический и челюстно-лицевой хирург, научный сотрудник ФМБА России. Автор патентов и научных статей. Реиннервация лицевого нерва — восстановление мимики, когда здоровый нерв берёт на себя функцию парализованного. Сложнейшая микрохирургия, которую редко можно увидеть в…
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У вас есть продукт для врачей и клиник? Тогда эта информация будет полезна для вас Прямо сейчас в Учебном центре мы формируем для брендов кейсы и готовим мероприятия для их освещения. Присоединяйтесь🤝 KN TECH & VISCOLINE фотобиомодуляция и биоревитализанты SALANO & SHAMEL Skin care технология и косметика В каждый из тандемов требуется третья компания с неконкурентным продуктом или технологией. Которая дополнит ра…
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На днях состоялось обучение врачей работе на LED-аппарате KN LIGHT Обучение проводил Шилов Даниил Дмитриевич — врач-косметолог, сертифицированный тренер инженерно-маркетинговой компании KN ТЕСН по лазерным, аппаратным и физиотерапевтическим методикам. В ближайшее время будут сформированы кейсы по восстановлению пациентов после хирургических вмешательств. Также, для некоторых кейсов будут использованы препараты лине…
Сегодня в Учебном центре — филлеры VISCOLINE® У микрофона — Черкасов Герман Эдуардович (к.м.н., хирург, дерматовенеролог, косметолог). ТЕМА СЕКРЕТЫ FULL FACE коррекции лица и тела препаратами коллекции VISCOLINE®. Навигация по опасным зонам. Профилактика осложнений.
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Video message, posted without a caption
🎤СПИКЕР Родина Юлия Алексеевна к.м.н., врач-дерматовенеролог, косметолог, трихолог Института пластической хирургии и косметологии; Заместитель директора департамента подготовки кадров высшей квалификации РНИМУ им. Н.И. Пирогова Минздрава России; Медицинский советник REVI. Теоретическая часть, сессия вопросов-ответов, затем практическая часть.
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Video message, posted without a caption
Showing the 12 most recent of 15 posts we hold for @klasko_training. 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.
Citation-graph rank — 222,420 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 3 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.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Учебный центр | КЛАЗКО” (@klasko_training), 75 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/klasko_training.
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.