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 13 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
Growth
15 measurements spanning 43 days, net +44. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 4,114–4,193 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:38
4,167
-7
14 Sept 2026, 13:40
4,174
-3
11 Sept 2026, 02:21
4,177
-7
5 Sept 2026, 19:14
4,184
+7
1 Sept 2026, 19:14
4,177
+19
29 Aug 2026, 18:02
4,158
+5
27 Aug 2026, 01:32
4,153
+3
23 Aug 2026, 23:59
4,150
+5
20 Aug 2026, 04:23
4,145
+5
16 Aug 2026, 18:58
4,140
-2
13 Aug 2026, 05:17
4,142
+7
9 Aug 2026, 19:21
4,135
+11
6 Aug 2026, 19:20
4,124
+1
6 Aug 2026, 17:15
4,123
no change
6 Aug 2026, 16:49
4,123
first reading
Engagement
4 posts held, back to 24 June 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 5 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 4 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
11 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 63.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💔
7
63.6%
🔥
3
27.3%
❤
1
9.09%
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 4 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 24 June 2026 to 14 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.
Приглашаем студентов на Летнюю конференцию проекта «Профразвитие»
Когда: с 18 по 20 августа 2026 года
Где: Мастерская управления «Сенеж» г. Солнечногорск, Московская область
К участию приглашаются студенты старших курсов, выпускники и молодые специалисты.
Попасть на конференцию можно после заполнения заявки, короткой видеовизитки и прохождения диагностики компетенций на платформе РСВ.
Что ждет студентов:
- Презен…
Проект «Подмосковье: карта вашей медицинской карьеры» представляет Можайскую больницу.
Можайск — город с героической историей и особым укладом. Территория района огромная, поэтому больница делает ставку на выездную помощь и ФАПы. Это идеальное место для тех, кто хочет попробовать себя в роли врача с широкой зоной ответственности.
Можайск — для тех, кто не боится широкого фронта работы.
Все о больнице - в карточках…
В проекте «Подмосковье: карта вашей медицинской карьеры» знакомимся со Ступинской клинической больницей.
Ступино — город машиностроителей, где ценят точность и надёжность. Это же требование здесь предъявляют и к медицине.
На базе учреждения работают профильные центры: региональный сосудистый центр, нефрологический центр второго уровня, отделение паллиативной медицинской помощи, травматологический центр второго уровн…
В проекте «Подмосковье: карта вашей медицинской карьеры» — Жуковская областная клиническая больница.
Жуковский - город авиастроителей, науки и точного расчёта. Местная больница работает в том же ключе: выверенные протоколы, высокие требования к качеству, дисциплина. Учреждение известно сильной кардиологической и травматологической службами, ведь здоровье лётчиков-испытателей требует особой подготовки.
Вся необходима…
🔥3
Showing the 4 most recent of 4 posts we hold for @alarmrnimu. 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.
Appears in Telegram’s recommendations for other channels
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.
Пироговский университет @daily_2med · 23,220 Telegram ranks this channel #3 of 73 here — alongside 72 others — read 18 September 2026
Ordinatura.org | Ординатура орг @ordinatura_org · 24,329 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 16 September 2026
МОССУДМЕД 🇷🇺 @reshetunalexey · 39,830 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 30 August 2026
врач маминой подруги @raynbuldez · 22,636 Telegram ranks this channel #21 of 72 here — alongside 71 others — read 20 September 2026
Медицинский блог Сеченова @medblognomer1 · 24,544 Telegram ranks this channel #64 of 77 here — alongside 76 others — read 16 September 2026
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.
Cite this entry
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Alarm Пироговский университет” (@alarmrnimu), 4,167 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/alarmrnimu.
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.