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Channel
@martinex_official
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
8,812subscribers
-21 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001770214172 |
|---|---|
| Type | Channel |
| Username | @martinex_official |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/martinex_official |
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 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 10:16 | 8,812 | +2 |
| 13 Sept 2026, 15:18 | 8,810 | +2 |
| 10 Sept 2026, 04:15 | 8,808 | -4 |
| 4 Sept 2026, 12:20 | 8,812 | -4 |
| 31 Aug 2026, 20:24 | 8,816 | -5 |
| 28 Aug 2026, 12:23 | 8,821 | -4 |
| 25 Aug 2026, 01:37 | 8,825 | -2 |
| 21 Aug 2026, 06:04 | 8,827 | -6 |
| 18 Aug 2026, 03:24 | 8,833 | -4 |
| 14 Aug 2026, 20:28 | 8,837 | +9 |
| 11 Aug 2026, 06:52 | 8,828 | -2 |
| 8 Aug 2026, 11:23 | 8,830 | -3 |
| 7 Aug 2026, 13:46 | 8,833 | first reading |
47 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 31 pages of 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 28 August 2026 |
|---|---|
| Posts held | 47 (23 July 2026 – 28 August 2026) |
| Views total | 1,424 |
| Reactions total | 44 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 16:12 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.
Measured directly from 18 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.
518 reactions across 45 posts, in 8 distinct kinds. The most used accounts for 53.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 275 | 53.1% | |
| 🔥 | 167 | 32.2% | |
| 💯 | 22 | 4.25% | |
| 👍 | 18 | 3.47% | |
| 👏 | 12 | 2.32% | |
| 😍 | 12 | 2.32% | |
| 🥰 | 10 | 1.93% | |
| 😁 | 2 | 0.386% |
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 45 of the 47 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 518 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 23 July 2026 to 28 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.
Posted without readable text
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После беременности основная задача в работе с кожей живота — поддержать её сокращение, повысить тонус и восстановить качество тканей после растяжения. DMAE Complex SKINASIL® — основной акцент на тонусе. DMAE поддерживает клеточные структуры и способствует повышению тонуса тканей, поэтому препарат логично включать в протоколы при дряблости и снижении упругости кожи живота. Доступен в разных форматах, в том числе в шп…
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Лифтинг + объем губ за 1 сеанс Возрастные изменения — это потеря не только влаги, но и структурной поддержки тканей. Гравитация, истончение дермы, потеря эластичности требуют не маскировки, а глубокого восстановления структуры. Hyaluform Deep Booster + Hyaluform LIPS — это синергия двух уникальных технологий в одной процедуре. 💧 Hyaluform Deep Booster (25 мг/мл, 2700 кДа) Работает на глубине, укрепляя связочный а…
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Вышел новый номер журнала «Инъекционная косметология» №3(66)/2026 Тема номера — «Формула стройности» Даже при высокой мотивации пациента и его работе над фигурой некоторые зоны, несмотря на все усилия, скорректировать не удается. Почему так происходит — и что может предложить современная эстетическая медицина? Разбираем применение липолитиков в зонах жировых «ловушек» и показываем, как инновационные технологии позв…
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Безопасность на максимуме: MARTINEX — платиновый спонсор Adverse Event Congress 2026 в Санкт-Петербурге! 5–6 сентября MARTINEX примет участие в одном из ключевых профессиональных событий года в эстетической медицине. В центре научной программы — темы, которые напрямую связаны с ежедневной практикой врача: сложные клинические случаи, анатомические нюансы, профилактика нежелательных явлений и практические алгоритмы и…
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Коллеги, согласитесь, каждому хотелось бы иметь любимые препараты в таком объёме 😄 А какой продукт из портфеля MARTINEX вы бы взяли себе в таком формате? Пишите в комментариях 👇
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Как MARTINEX обеспечивает высочайшее качество своей продукции? В рамках холдинга MARTINEX — целая экосистема, которая делает нашу продукцию эталонной! Мы не просто производим препараты: мы выстраиваем многоуровневую систему контроля и инноваций, чтобы вы могли доверять каждому нашему продукту. Ключевое звено этой системы — лаборатория THOSCANE, полностью интегрированная в структуру MARTINEX. Именно здесь, под строг…
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Astrali — французский бренд для тех, кто выбирает бережный и осознанный подход к уходу за кожей. В основе позиционирования бренда — не только коррекция уже заметных изменений, но и их профилактика: поддержание естественного баланса, увлажнённости и защитных функций кожи на разных этапах жизни. В подборке собрали четыре средства для разных задач: глубокого очищения, антивозрастного ухода, повышения упругости, а такж…
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Осенью кожа особенно нуждается в грамотной коррекции последствий активной инсоляции — от тусклого тона и пигментации до первых признаков фотостарения. В карусели собрали три пилинга MEDIC CONTROL PEEL для разных клинических задач и интенсивности воздействия. Сохраняйте подборку для планирования осенних протоколов. Все препараты доступны на сайте shop.martinex.ru
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Выходные с выгодой: 2+1 ✨ Только 21–23 августа при покупке препаратов HYALREPAIR®, HYALUFORM® и SKINASIL® действует предложение 2+1 в рамках одного наименования: выбирайте два препарата — третий получайте в подарок. Отличная возможность пополнить запасы любимых препаратов на специальных условиях. Оформить заказ можно: • на сайте shop.martinex.ru • через приложение iOS • и Android Успейте воспользоваться предложен…
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Когда пациент приходит с отёчностью, тёмными кругами и «уставшим» лицом, важно работать не только с внешними проявлениями, но и с микроциркуляцией. LYMPHO ACTIVE CONCENTRATE MESALTERA by Dr. Mikhaylova помогает уменьшить выраженность отёков, поддерживает лимфодренаж и улучшает состояние кожи, склонной к пастозности. Тот случай, когда один концентрат точно попадает в частый запрос пациента — более свежий, отдохнувши…
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Video message, posted without a caption
Showing the 12 most recent of 47 posts we hold for @martinex_official. 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.
@martinex_official edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“MARTINEX | Science in beauty” (@martinex_official), 8,812 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/martinex_official.
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.