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 16 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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
13 measurements spanning 43 days, net +28. 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 2,180–2,221 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 12:59
2,213
-3
14 Sept 2026, 18:36
2,216
+9
11 Sept 2026, 05:20
2,207
-2
6 Sept 2026, 09:37
2,209
+2
2 Sept 2026, 11:43
2,207
+2
30 Aug 2026, 15:54
2,205
+5
24 Aug 2026, 17:02
2,200
+4
20 Aug 2026, 18:44
2,196
+7
17 Aug 2026, 11:38
2,189
+2
14 Aug 2026, 04:38
2,187
+2
11 Aug 2026, 00:05
2,185
-1
8 Aug 2026, 07:54
2,186
+1
7 Aug 2026, 11:47
2,185
first reading
Engagement
17 posts held, back to 16 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 2 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 17 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 49s
Average length
27s
Measured directly from 4 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
448 reactions across 15 posts, in 12 distinct kinds. The most used accounts for 81.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
363
81.0%
🔥
30
6.70%
😍
15
3.35%
👍
7
1.56%
🤝
7
1.56%
❤🔥
5
1.12%
🤡
5
1.12%
💘
4
0.893%
🥴
4
0.893%
🦄
4
0.893%
💋
2
0.446%
😁
2
0.446%
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 15 of the 17 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 448 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 16 June 2026 to 7 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @UWHmsPcxJDM3NGYy. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 17 most recent posts we hold for this entry, published 16 June 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🩸Хочете навчитися навичкам, які можуть урятувати життя, і водночас підтримати наших військових?
Ми розігруємо 2 місця на курс Stop the Bleed. Найближчий тренінг 09.08, але ви зможете долучитись на будь-яку зручну дату. Для участі достатньо перейти на цей допис в інстаграм:
✔️ зробити донат від 100 грн, на банку, яка в сторіз.
✔️ підписатися на сторінку;
✔️ зробити репост допису.
*не забудьте вказувати в коментах до…
В наш неспокійний час вважаємо надважливим повторювати тренування і підтримувати навички з домедички на хорошому рівні - тому, запрошуємо на курс⬇️
🩸Тренінг Stop the bleed
Працюємо з масивними кровотечами, дихальними шляхами, гіпотермією та роботою в небезпечних умовах.
Коли? 02.08 (10:00-15:00)
Де? Київ, правий берег
Участь - донат 1000 грн
Отримуєте офіційний сертифікат про проходження курсу!
Будемо бачити нові …
Спойлер: правильних відповідей у цьому відео немає😄
Інструктори навмисно обирають найгірші варіанти, щоб показати типові помилки і міфи домедичної допомоги, які в реальних умовах будуть зовсім не смішними, а небезпечними.
Хочете знати, як діяти правильно? Чекаємо на нашому курсі з домедичної допомоги Stop the Bleed. Підписуйтесь, щоб не прогавити анонс.
🦦 А які міфи вас дратують і засмучують найбільше? Пишіть в ко…
Слава нації 🇺🇦
Відкривається набір на тренінг “Stop the bleed+”
• Неділя 19.07 / 10:00-15:00
• м.Київ
• Кількість місць на тренінг обмежена
• Участь за донат від 1000 грн
Залишаємо посилання на обовʼязкову форму реєстрації ⤵️
https://forms.gle/qK9MJtqWG658ckau9
З повагою 🔥🦦
Слава нації 🇺🇦
Відкривається набір на тренінг “Stop the bleed+”
• Субота 04.07
• м.Київ
• Кількість місць на тренінг обмежена
Залишаю посилання на обовʼязкову форму реєстрації ⤵️
https://forms.gle/SDLYH8pSFww9ZaPRA
З повагою 🔥🦦
А-ну, зізнавайтесь, скучили?😁 Ми - дуже!
На відео курс Stop the bleed для опанування нових знань та навичок, а також супер буде для практики і повторення. Бо домедичка така штука – любить постійні тренування.
Завтра вийдемо до вас з анонсом на реєстрацією. По-секрету: поки нічого не плануйте на суботу🙂
На жаль, досі побутує думка, що навички з домедичної допомоги потрібні лише медикам і військовим. Але наші реалії диктують зовсім інші правила.
Навіть не зважаючи на фактор війни, буденне життя має в собі багато небезпек, і звичайний спокійний день може раптово перетворитись на ситуацію, в якій треба діяти тут і зараз, аби врятувати життя.
🚑 Частина "порад" з домедичної допомоги, які насправді не працюють, або працюють зовсім не так, як хотілося б.
У цьому відео наші інструктори зібрали кілька популярних міфів, які давно час залишити в минулому.
Пишіть в коментах які міфи чули ви, і про який було б цікаво дізнатися більше?🔥
The shares total 249%, 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.
🔥12🦄4🥴3
Showing the 12 most recent of 17 posts we hold for @UWHmsPcxJDM3NGYy. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 249%, 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 17 most recent posts we hold, published 16 June 2026 to 7 August 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.
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Зупинка кровотеч🩸Пекельні видри 🔥🦦” (@UWHmsPcxJDM3NGYy), 2,213 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/UWHmsPcxJDM3NGYy.
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.