Channel
@zabelinm
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,635subscribers
-17 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001579662898 |
|---|---|
| Type | Channel |
| Username | @zabelinm |
| Created | 12 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/zabelinm |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 05:57 | 3,635 | -3 |
| 3 Sept 2026, 10:11 | 3,638 | -7 |
| 31 Aug 2026, 05:16 | 3,645 | -1 |
| 28 Aug 2026, 02:47 | 3,646 | -4 |
| 24 Aug 2026, 21:45 | 3,650 | -5 |
| 21 Aug 2026, 10:47 | 3,655 | -5 |
| 18 Aug 2026, 05:52 | 3,660 | -3 |
| 15 Aug 2026, 04:44 | 3,663 | +3 |
| 12 Aug 2026, 06:07 | 3,660 | +1 |
| 9 Aug 2026, 12:31 | 3,659 | +8 |
| 6 Aug 2026, 22:31 | 3,651 | -1 |
| 6 Aug 2026, 10:49 | 3,652 | no change |
| 6 Aug 2026, 09:56 | 3,652 | first reading |
7 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 pages 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 7 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
155 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 38.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 60 | 38.7% | |
| ❤ | 52 | 33.5% | |
| 🙏 | 19 | 12.3% | |
| 🔥 | 16 | 10.3% | |
| ❤🔥 | 5 | 3.23% | |
| 💯 | 2 | 1.29% | |
| 🤨 | 1 | 0.645% |
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 7 of the 7 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 155 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 30 July 2026 to 6 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.
Провели выездную администрацию в Ступино. В повестке – текущая работа больницы, смена руководителя и обсуждение планов по развитию учреждения. На днях к исполнению обязанностей главного врача приступил опытный организатор здравоохранения, главврач Домодедовской больницы Андрей Осипов. Задача нового руководителя – выстроить планы по повышению качества и доступности медпомощи для населения городского округа и поддержат…
👍6❤3💯2
Сегодня заехал в Перхушково, где скоро откроется региональный сосудистый центр для пациентов с инфарктами, инсультами и другими сосудистыми катастрофами. Здесь заработают сразу пять современных операционных, реанимация, отделения кардиологии, неврологии, сердечно-сосудистой хирургии и рентгенэндоваскулярной диагностики и лечения. Для оказания высокотехнологичной помощи закуплено более 800 единиц медицинского оборудов…
👍17🔥5🙏5❤3
Часто работа министерства представляется как бесконечные совещания, отчёты и планы, где нет места обычному человеку и его проблемам. Но на самом деле в каждой нашей задаче, каждом целевом показателе заложено главное: сколько минут ждали, сколько раз звонили, сколько шагов сделали, чтобы записаться к специалисту. Сейчас реализуется сразу восемь пилотных проектов, один из них – "Эффективное управление расписанием" – п…
❤11🔥10👍6🙏1
Паллиативная помощь – непростое направление нашей работы. Профильная служба оказывает комплексную помощь при тяжёлых неизлечимых заболеваниях, чтобы пациент не испытывал боль и получал качественный уход. Зачастую близкие таких пациентов нуждаются не только в медицинских решениях, но и в простом человеческом участии: чтобы кто‑то спокойно всё объяснил, подсказал, поддержал. Уже четыре года в регионе работает координа…
❤12🙏6❤🔥5
Сегодня свое десятилетие отмечает наш Медицинский информационно‑аналитический центр – ключевое учреждение в вопросах внедрения цифровых решений в систему здравоохранения Подмосковья. Здесь работает уникальная команда: от разработчиков и специалистов по информационной безопасности до экспертов по медицинской статистике. Ежедневно они обрабатывают огромные массивы данных – и самое важное: не просто собирают цифры, а п…
❤12👍12🙏4🤨1
🏥 Особое внимание на встрече уделили развитию здравоохранения Подмосковья. Президент подчеркнул, что важно не только строить крупные современные медицинские центры, но и развивать первичное звено здравоохранения, чтобы жители могли получать качественную медицинскую помощь рядом с домом. В этом году откроем и капитально отремонтируем 44 объекта здравоохранения, в том числе 15 поликлиник — пять новых и 10 после обновл…
👍12❤2🔥1🙏1
Вечер среды по традиции провёл на встрече с жителями Подмосковья. В этот раз провели небольшой форум по вопросам здравоохранения с жителями Люберецкого городского округа. Сегодня на территории округа работают два крупных медицинских учреждения – Люберецкая областная клиническая больница и Московский областной центр охраны матери и ребёнка (МОЦОМД), а также подразделения других наших организаций. Люберецкая больница…
❤9👍7🙏2
Showing the 7 most recent of 7 posts we hold for @zabelinm. 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.
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.
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.
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.
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 4 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“Максим Zабелин” (@zabelinm), 3,635 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/zabelinm.
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.