Channel
@profendoclinic
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,427subscribers
-11 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002499494186 |
|---|---|
| Type | Channel |
| Username | @profendoclinic |
| Created | Between 1 November 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/profendoclinic |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 04:37 | 3,427 | -4 |
| 9 Aug 2026, 23:32 | 3,431 | -8 |
| 7 Aug 2026, 02:50 | 3,439 | +1 |
| 6 Aug 2026, 12:18 | 3,438 | first reading |
9 posts held, back to 30 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 3 pagesof 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 7 August 2026 |
|---|---|
| Posts held | 9 (30 July 2026 – 7 August 2026) |
| Views total | 4,351 |
| Reactions total | 106 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:14 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.
106 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 36.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 39 | 36.8% | |
| ❤ | 38 | 35.8% | |
| 👍 | 16 | 15.1% | |
| 👏 | 10 | 9.43% | |
| ⚡ | 1 | 0.943% | |
| 🙏 | 1 | 0.943% | |
| 🤩 | 1 | 0.943% |
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 9 of the 9 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 106reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 30 July 2026 to 7 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.
«У меня гормоны? Это щитовидка? Почему анализы не идеальные? А это вообще нужно лечить?» Иногда один симптом запускает целую цепочку тревог. Усталость — «наверное, гормоны». Вес не уходит — «точно щитовидка». В анализах есть отклонение — «со мной что-то серьёзное». 💠 А в интернете на каждый вопрос — десятки совершенно разных ответов. В результате человек либо начинает лечить то, что лечить не нужно, либо, наоборот…
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ПАМЯТКА ПОЛЬЗОВАТЕЛЯ ИНСУЛИНОВОЙ ПОМПЫ: как избежать частых технических проблем 💠 Рассказывает Амосова Мария Вадимовна — лидер направления «Инновационные технологии и комплексное лечение сахарного диабета», эндокринолог, к.м.н. 💠 Инсулиновая помпа помогает сделать управление сахарным диабетом более гибким и точным. Но даже самая современная система требует правильного использования. Большинство проблем связано не с…
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В ПрофЭндоКлинике новый специалист — теперь помощь стала ещё комплекснее 💠 Рады представить нашего нового врача — Широкого Романа Вячеславовича. 💠 Врач ЛФК 💠 Врач физической и реабилитационной медицины Многие знают, что движение помогает поддерживать здоровье. Но при заболеваниях важно не просто «начать больше ходить или тренироваться», а подобрать нагрузку, которая будет безопасной и эффективной именно для вас. Р…
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Ионизация воды: суперпольза или маркетинговый миф? «Щелочная вода восстановит кислотно-щелочной баланс». «Ионизированная вода поможет при диабете». «Такая вода ускоряет заживление ран». Подобные утверждения часто встречаются в рекламе. Но что говорит современная медицина? 💠Разбирает Страхова Галина Юрьевна — эндокринолог, к.м.н., доцент кафедры эндокринологии и диабетологии. Начнём с главного: организм человека с…
❤4👍4🔥3👏1
ПОЧЕМУ У МЕНЯ ТАК? Почему я отекаю, если у меня надпочечниковая недостаточность? «Утром отекает лицо, к вечеру — ноги. Вес за несколько дней становится больше. Неужели это из-за надпочечников?» 💠Рассказывает Моргунова Татьяна Борисовна, эндокринолог, к.м.н. Отёки не являются типичным симптомом надпочечниковой недостаточности. При дефиците гормонов организм, наоборот, может терять натрий и жидкость. Поэтому чаще п…
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РАЗБОР ПОПУЛЯРНЫХ СОВЕТОВ ИЗ ИНТЕРНЕТА «Почистить щитовидку» — что на самом деле стоит за этим? 💠 Разбирает Карамуллина Регина Айдаровна — эндокринолог «Уберите сахар — щитовидка восстановится». «Пропейте йод — и гормоны придут в норму». «Сделайте детокс — очистите организм от токсинов». Такие советы часто встречаются в интернете. Но что говорит современная медицина? Начнём с главного: щитовидную железу не нужно…
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❓«Гормоны мешают похудеть?» ❓«Если анализ немного выше нормы, нужно срочно лечить?» ❓«Усталость, отёки и выпадение волос — это точно щитовидная железа?» В эндокринологии много мифов, которые звучат убедительно, но не всегда имеют научное подтверждение. 14 августа в 15:00 профессор Валентин Викторович Фадеев проведёт БЛИЦ-ПРИЁМ «Мифы и факты в эндокринологии». В прямом эфире разберём популярные утверждения о горм…
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«У меня нет сил даже после сна. Может, мне просто нужно восполнить дефициты?» ❗️Почему усталость не всегда решается микронутриентами, 💠 Разбираем вместе с Берковской Мариной Ароновной — эндокринологом, к.м.н. «Я постоянно устаю…» «Раньше легко справлялась с нагрузками, а сейчас нет энергии даже на обычные дела…» «Может, организму просто не хватает витаминов?» С такими вопросами пациенты часто приходят на консульта…
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Почему вы снова набираете вес после диеты? Вы старались. Отказывались от любимых продуктов. Считали калории. Терпели голод. Вес уходил… а потом возвращался. И первая мысль обычно: «Я опять сорвался». «У меня нет силы воли». «Я просто не умею худеть». Но причина часто не в вас. Строгие диеты редко становятся решением при ожирении, потому что они не меняют причины набора веса. 💠Рассказывает Гусева Анна Юрьевна — ко…
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Showing the 9 most recent of 9 posts we hold for @profendoclinic. 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 — 82,287 of 1,480,688entries 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.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Проф Эндо Клиника” (@profendoclinic), 3,427 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/profendoclinic.
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.