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Channel
ОБЛАСТЬ ЗДОРОВЬЯ
@Oblast_zdorovya
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
6,006subscribers
-89 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001161381296 |
|---|---|
| Type | Channel |
| Username | @Oblast_zdorovya |
| Created | 22 November 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/Oblast_zdorovya |
Topic
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 15:51 | 6,006 | +7 |
| 3 Nov 2026, 17:17 | 5,999 | -2 |
| 31 Oct 2026, 08:20 | 6,001 | -3 |
| 28 Oct 2026, 03:05 | 6,004 | -1 |
| 25 Oct 2026, 11:07 | 6,005 | -4 |
| 22 Oct 2026, 08:10 | 6,009 | -1 |
| 19 Oct 2026, 04:27 | 6,010 | -4 |
| 16 Oct 2026, 08:39 | 6,014 | -1 |
| 13 Oct 2026, 00:44 | 6,015 | -5 |
| 6 Oct 2026, 05:22 | 6,020 | -12 |
| 29 Sept 2026, 11:39 | 6,032 | -8 |
| 19 Sept 2026, 10:59 | 6,040 | -1 |
| 14 Sept 2026, 13:41 | 6,041 | -3 |
| 11 Sept 2026, 09:00 | 6,044 | -2 |
| 6 Sept 2026, 07:40 | 6,046 | -5 |
| 2 Sept 2026, 11:33 | 6,051 | -5 |
| 30 Aug 2026, 18:34 | 6,056 | -4 |
| 27 Aug 2026, 09:53 | 6,060 | -2 |
| 24 Aug 2026, 11:54 | 6,062 | -10 |
| 20 Aug 2026, 08:54 | 6,072 | first reading |
Engagement
54 posts held, back to 5 August 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 12 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.11%
- avg views ÷ 6,006 subscribers
- Avg views / post
- 187
- 14 posts measured
- Reaction rate
- 0.52%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 54 held
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. It is computed over the 6 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 54 (5 August 2026 – 5 November 2026) |
| Views total | 2,612 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 02:08 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.
What this channel posts
- Video runtime
- 0s
- Average length
- 0s
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.
Reaction mix
44 reactions across 28 posts, in 4 distinct kinds. The most used accounts for 52.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 52.3% | |
| 👍 | 9 | 20.5% | |
| 🔥 | 7 | 15.9% | |
| 👏 | 5 | 11.4% |
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 29 of the 54 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 44 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 5 August 2026 to 5 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 14 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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👍1
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❤1
Коллективы предприятий Томской области могут пройти диспансеризацию в режиме «зелёного коридора» И. о. начальника регионального департамента здравоохранения Юрий Воробьёв провёл совещание с руководителями медицинских организаций региона. Они обсудили диспансеризацию и репродуктивный скрининг, которые проводятся по нацпроектам «Продолжительная и активная жизнь» и «Семья». 📌 С начала года диспансеризацию и профилакти…
❤1
Photo, posted without a caption
🆕 Вышел новый выпуск региональной газеты “Область здоровья”! Читайте в октябрьском номере: - Как выглядит приёмное отделение городской клинической больницы №3 имени Б.И. Альперовича после капитального ремонта? - Какое оборудование поступило в Асиновскую районную больницу? - В какие больницы приехали новые специалисты по федеральным программам «Земский доктор» и «Земский фельдшер»? - Как врач-стоматолог, умеющий кла…
❤1
❓Как идёт вакцинация от гриппа в районах области? В Чаинской районной больнице прививку от гриппа получили уже 1 839 жителей, из них 1 437 — взрослые, а 402 — дети. Напоминаем, что перед прививкой пациента обязательно осматривает терапевт, педиатр или фельдшер. Самое главное, чтобы на момент вакцинации у человека не было признаков ОРВИ. Предварительная запись не требуется. 📌 Жители Чаинского района могут сделать п…
📌 Медучреждения Томской области в День народного единства будут работать по специальному графику Чтобы вы были спокойны за себя и своих близких, мы собрали всю информацию о работе медучреждений в День народного единства. 🚑 Скорая помощь — вызвать бригаду можно круглосуточно по номеру 03 или 103. 🦷 Если разболелся зуб: * Дети: с 8:00 до 20:00 — ул. Ф. Мюнниха, 17 (детское отделение стоматологической поликлиники №1…
👍1
💚 Забота о репродуктивном здоровье — это не просто взрослая тема, а самая настоящая инвестиция в будущее. Чем раньше мы начинаем об этом думать, тем выше шансы на здоровую жизнь, в том числе — на счастливое родительство. Специалисты Центра общественного здоровья и медицинской профилактики провели Школу репродуктивного здоровья для студентов Томского лесотехнического техникума. Мероприятие соответствует целям и задач…
✅ Более 1 800 детей получили помощь в школьных стоматологических кабинетах Проект «Школьная стоматология» работает на полную мощность! С сентября врачи Стоматологической поликлиники № 1 уже приняли 1 810 учеников в четырёх томских школах: 🦷 Школа «Перспектива» — 673 ребёнка 🦷 Заозёрная школа № 16 — 622 ребёнка 🦷 «Интеграция» — 371 ребёнок 🦷 Губернаторский Светленский лицей — 144 ребёнка Прямо в школах специалисты:…
❤1
Photo, posted without a caption
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Showing the 12 most recent of 54 posts we hold for @Oblast_zdorovya. 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.
Forward network
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.
Mentions
Named by 1 registered channel — 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.
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.
@Tomsk_tut · 25,579
Telegram ranks this channel #4 of 86 here — alongside 85 others — read 18 September 2026
@mazur_70 · 25,989
Telegram ranks this channel #14 of 94 here — alongside 93 others — read 12 September 2026
@tomsk_smi · 10
Telegram ranks this channel #25 of 54 here — alongside 53 others — read 7 September 2026
@tomsk_region70 · 226,231
Telegram ranks this channel #28 of 43 here — alongside 42 others — read 24 August 2026
@rabotav_tomsk · 44,797
Telegram ranks this channel #33 of 48 here — alongside 47 others — read 27 August 2026
@tomsk_news70 · 109,507
Telegram ranks this channel #33 of 49 here — alongside 48 others — read 24 August 2026
@tomsktop1 · 20,770
Telegram ranks this channel #39 of 58 here — alongside 57 others — read 25 September 2026
@tsk_go · 47,477
Telegram ranks this channel #49 of 56 here — alongside 55 others — read 26 August 2026
@dtp_tomsk · 25,401
Telegram ranks this channel #51 of 79 here — alongside 78 others — read 13 September 2026
@ochkarik_tsk · 23,926
Telegram ranks this channel #52 of 95 here — alongside 94 others — read 17 September 2026
@tomsk_novosti · 19,115
Telegram ranks this channel #57 of 81 here — alongside 80 others — read 3 October 2026
This channel appears in 11 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“ОБЛАСТЬ ЗДОРОВЬЯ” (@Oblast_zdorovya), 6,006 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Oblast_zdorovya.
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.