Channel
@Englishfor_doctors
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Telegram's recommendations · Cite this entry
4,657subscribers
-14 since we began measuring on 4 September 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001604287459 |
|---|---|
| Type | Channel |
| Username | @Englishfor_doctors |
| Created | Between 1 November 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 September 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/Englishfor_doctors |
Education — 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 29 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 03:39 | 4,657 | -2 |
| 3 Nov 2026, 04:46 | 4,659 | -4 |
| 30 Oct 2026, 17:59 | 4,663 | -6 |
| 24 Oct 2026, 15:14 | 4,669 | +1 |
| 22 Oct 2026, 00:20 | 4,668 | +2 |
| 19 Oct 2026, 00:57 | 4,666 | +1 |
| 13 Oct 2026, 08:37 | 4,665 | -2 |
| 7 Oct 2026, 02:21 | 4,667 | -1 |
| 29 Sept 2026, 19:37 | 4,668 | +4 |
| 15 Sept 2026, 03:57 | 4,664 | +1 |
| 11 Sept 2026, 05:58 | 4,663 | -9 |
| 6 Sept 2026, 06:16 | 4,672 | +1 |
| 4 Sept 2026, 04:22 | 4,671 | first reading |
6 posts held, back to 16 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.
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.
9 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 77.8% | |
| 👍 | 1 | 11.1% | |
| 🔥 | 1 | 11.1% |
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 4 of the 6 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 16 July 2026 to 2 September 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.
С 1 по 6 сентября в MD. school — большая распродажа: флагманские программы от 11 900 ₽ 🔥 То самое «с сентября начну» наступило 🍂 Если всё лето вы откладывали обучение на осень — вот он, тот самый момент. Всего на 6 дней снижаем цены на ключевые направления ↩️ ✔️Гинекология - три флагманские программы от 11 900 ₽ -Амбулаторная гинекология - пошаговые протоколы ведения пациенток с частыми и сложными случаями, готов…
Такого не было даже в Чёрную пятницу: до −20 000 ₽ на «Нейросети в работе врача» 🔥 ⚠️ Только 19 мест по этой цене — и только до 31 августа. ➡️ Тариф без обратной связи - 21 900 руб вместо 39 900 руб [рассрочка от 1 825 руб/мес] Подходит тем, кто хочет пройти курс самостоятельно, без домашних заданий и обратной связи, в своём темпе. Доступ к программе — 12 месяцев, есть тестирование для самопроверки. ➡️ Тариф с об…
🔥 Медицинский английский за полцены — сейчас −50% на курс Если давно хотели читать PubMed без переводчика, свободнее общаться с иностранными коллегами и разобраться в профессиональной лексике — сейчас хороший момент начать. За 2 месяца на начальном уровне Школы медицинского английского MD.school вы заложите базу для работы с медицинским английским. Представьте, как вы: • читаете исследования в PubMed в оригинале •…
❤2👍1🔥1
Не надо работать на износ, чтобы делать больше. Достаточно одного помощника. Один день врача — это десятки задач, кроме приёма пациентов. Помимо консультаций и заполнения меддокументации, врач каждый день сталкивается с задачами, которые съедают часы: ● Оформить справку в комиссию или для МСЭ ● Ответить пациенту на жалобу или составить объяснительную ● Сделать слайды и доклад для конференции ● Собрать материал …
❤1
Как врач готовит презентацию для международной конференции с помощью нейросетей меньше, чем за час. Кейс ученицы курса «Нейросети в работе врача» — Юлии Топаловой, гастроэнтеролога и гепатолога из Санкт-Петербурга. За 4 недели обучения Юлия полностью перестроила подход к созданию медицинских презентаций. Раньше — долгий поиск статей, ручная структура, оформление. Сейчас — работа заняла менее часа благодаря ChatGPT …
❤1
Если это про вас — какой язык сейчас наиболее актуален?
The shares total 111%, 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.
❤3
Showing the 6 most recent of 6 posts we hold for @Englishfor_doctors. 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.
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.
Если это про вас — какой язык сейчас наиболее актуален?
The shares total 111%, 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 6 most recent posts we hold, published 16 July 2026 to 2 September 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.
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 2 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Медицинский английский для врачей | MD.school” (@Englishfor_doctors), 4,657 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Englishfor_doctors.
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.