Other / unclassifiable — 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 47% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
14 measurements spanning 42 days, net +149. 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 7,863–8,056 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 14:17
8,034
+64
13 Sept 2026, 16:18
7,970
+47
9 Sept 2026, 20:54
7,923
+10
4 Sept 2026, 16:57
7,913
-16
31 Aug 2026, 17:44
7,929
-11
28 Aug 2026, 19:54
7,940
-10
25 Aug 2026, 15:16
7,950
-3
22 Aug 2026, 17:03
7,953
+2
19 Aug 2026, 11:06
7,951
+25
16 Aug 2026, 02:06
7,926
+28
12 Aug 2026, 09:53
7,898
-8
9 Aug 2026, 18:41
7,906
+21
6 Aug 2026, 07:20
7,885
no change
6 Aug 2026, 07:19
7,885
first reading
Engagement
102 posts held, back to 4 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.7%
avg views ÷ 8,034 subscribers
Avg views / post
862
19 posts measured
Reaction rate
0.63%
reactions ÷ views · ER floor
Posts in window
19
of 102 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 18 of 19 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
102 (4 August 2026 – 28 August 2026)
Views total
16,379
Reactions total
98
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:45 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
11m 53s
Average length
1m 42s
Measured directly from 7 videos 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
514 reactions across 84 posts, in 7 distinct kinds. The most used accounts for 42.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
218
42.4%
👍
185
36.0%
🔥
75
14.6%
👏
23
4.47%
⚡
7
1.36%
🏆
5
0.973%
👌
1
0.195%
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 94 of the 102 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 583 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 4 August 2026 to 28 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.
🏕🏆 Сборная Витебской областной клинической больницы одержала победу на XVI областном турслете медиков!
🌲🏞В Витебской области на базе ТОК «Лосвидо» прошел XVI областной туристический слет работников здравоохранения. Масштабный спортивный форум, организованный областной организацией БПРЗ, объединил более 200 медиков в составе 11 команд из Витебска, Орши, Лепеля, Городка, Браслава, Полоцка и Новополоцка.
🏆Победителем …
📣В БГМУ стартовала серия традиционных ознакомительных встреч с первокурсниками. 🎓На встречах присутствуют деканы факультетов, их заместители и сотрудники деканатов, которые знакомят ребят с ключевыми особенностями учебного процесса, правилами внутреннего распорядка и насыщенной жизнью университета. ‼️На сегодняшний день 1️⃣0️⃣0️⃣% первокурсников стали членами студ…
🏫 «Соберем портфель вместе!» — добрая акция в Пинске!
В преддверии нового учебного года организаторы помогли первоклассникам из отдельных категорий семей подготовиться к школе. Ребята получили рюкзаки 🎒, тетради 📚, ручки ✒️, карандаши ✏️, альбомы 📒 и другие нужные вещи.
В акции участвовали:
▫️ главный врач Пинской центральной поликлиники Игорь Киктенко; председатель объединенного профсоюза работников Пинского здравоо…
⚡️⚡️Время действовать: молодые специалисты Минска посетили РУП «Белмедпрепараты» ☝️Мероприятие собрало 1️⃣5️⃣0️⃣ молодых специалистов из разных сфер деятельности, включая медиков и провизоров, для которых была организована масштабная диалоговая площадка и экскурсия по главному фармацевтическому предприятию страны. Самой запоминающейся частью встречи стала э…
✨✨Яркий праздник знаний: в Республиканском медцентре Управления делами Президента Республики Беларусь поздравили первоклассников с началом учебного года В медицинском центре прошла праздничная встреча для будущих первоклассников и их родителей. В этом году школьный звонок впервые прозвучит для 1️⃣7️⃣детей сотрудников центра — 1️⃣0️⃣ мальчиков и 7️⃣ девочек. …
Гомельский профсоюз медиков пополнился «первичкой» частной стоматологической клиники
📜 Свидетельство о регистрации первичной профсоюзной организации ЧСУП «Анюта-Дент» председатель Гомельской областной организации Белорусского профсоюза работников здравоохранения Надежда Зимина вручила председателю новой ППО Александру Ковалеву.
🤝 Как отметила Надежда Зимина, с коллективом на общем собрании и в частном порядке проводи…
Можно ли уйти в отпуск сразу после декрета, если тебя нет в графике?
На профсоюзный правовой прием на базе Речицкой ЦРБ и зонального ЦГиЭ за бесплатной юридической помощью обратились 5 человек, а еще 46 работников и профактивистов поучаствовали в правовом просвещении.
Прием провели правовой инспектор труда Гомельской областной организации БПРЗ Сергей Хурбатов и зам.прокурора Речицкого района Оксана Аполоник.
Одним и…
Комфортное общежитие - залог успешной учебы: профсоюзный контроль прошел в Гомельском медколледже
👥 Техинспектор труда Гомельской областной организации БПРЗ Ольга Григоренко совместно с председателем профкома учащихся Гомельского медколледжа Татьяной Косаревой провели мониторинг готовности студенческого общежития к заселению новых жильцов.
🔧 Что обновили к новому учебному году:
✅40 новых санитарных поддонов
✅20 кро…
🌿 «Фармация без границ»
🏕Палатки, природа, свежий воздух, спорт,
новые знакомства и море эмоций - именно
так прошёл фестиваль «Фармация без границ» на Гродненщине!
🚣🏿♂️🏐Туристическая полоса препятствий,
байдарки, квесты, волейбол и другие
испытания проверяли не только силу и
выносливость команды БЕЛФАРМАЦИЯ, но и умение работать в команде. Это прекрасная возможность просто пообщаться, посмеяться и познакомиться с ко…
"Наставники помогают освоиться, коллектив дружный".😏
Молодые специалисты пришли в Витебскую областную клиническую больницу 🏥
👍3🔥3
Showing the 12 most recent of 102 posts we hold for @rkbprz. 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.
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
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.
Официальный Минздрав - новости здравоохранения и фармацевтики Республики Беларусь @minzdravbelarus · 32,530 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 5 September 2026
Цифровая грамотность @cifgram · 22,807 Telegram ranks this channel #56 of 94 here — alongside 93 others — read 19 September 2026
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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Профсоюз здравоохранения Беларуси” (@rkbprz), 8,034 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/rkbprz.
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.