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 63% 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 +26. 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 2,261–2,313 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:20
2,307
+9
13 Sept 2026, 19:14
2,298
-4
10 Sept 2026, 07:36
2,302
+3
5 Sept 2026, 09:17
2,299
+20
28 Aug 2026, 20:13
2,279
+1
25 Aug 2026, 14:22
2,278
+6
22 Aug 2026, 13:24
2,272
+5
19 Aug 2026, 01:07
2,267
-2
16 Aug 2026, 07:07
2,269
-5
13 Aug 2026, 04:04
2,274
-6
9 Aug 2026, 20:58
2,280
-1
6 Aug 2026, 17:00
2,281
no change
6 Aug 2026, 09:04
2,281
first reading
Engagement
23 posts held, back to 31 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 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 23 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 06s
Average length
1m 06s
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
65 reactions across 13 posts, in 12 distinct kinds. The most used accounts for 30.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
20
30.8%
😢
15
23.1%
👍
12
18.5%
😨
4
6.15%
🤔
3
4.62%
😇
2
3.08%
😐
2
3.08%
😡
2
3.08%
😱
2
3.08%
🍌
1
1.54%
🥰
1
1.54%
🥴
1
1.54%
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 23 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 31 July 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.
💠 اخراج کارشناس بلوچ اورژانس جاسک پس از اعتراض به بیتجربگی نیروها و پیگیری حقوقی
✅ به گزارش رصد بلوچستان، «مسلم بهادری»، کارشناس اورژانس و از ساکنان جاسک، پس از شش سال خدمت در اورژانس ۱۱۵، بیمارستان و درمانگاه شبانهروزی این شهرستان، از کار برکنار شده است.
✅ بر اساس اطلاعات دریافتی، دلیل اخراج او، پیگیریهای مستمر برای دریافت اضافهکار معوقه، مطالبه حقوق صنفی و اعتراض به بهکارگیری افرادی بدون آموزش و تجربه کافی ع…
✳️نظریه مشورتی اداره حقوقی قوه قضاییه در خصوص حوادث کار 🏥🚨
✍️تورج شمشیری نظام ⚖️
❇️اهمیت نظریه : بروز حادثه برای منشی مطب یا پرسنل درمانگاه / بیمارستان در خارج از محیط کاری جهت انجام امور به دستور کارفرما ( پزشک، مسوول فنی، موسس) جزو حوادث کار محسوب می شود. 🏢🚗
✴چکیده : حادثه ناشی از کار، حادثه ای است که در حین انجام کار اتفاق افتاده باشد و منحصر به محیط کارگاه نیست. 📝
🔺اصل مطلب :
شماره نظریه : ۷/۹۸/۸۶۱ 📄
تار…
▶️ زمان جدید ثبتنام در آزمون کارشناسی ارشد رشتههای علوم پزشکی اعلام شد!
مهلت نامنویسی در آزمون کارشناسی ارشد رشتههای علوم پزشکی سال ۱۴۰۵ که مقرر بود ۱۰ مردادماه آغاز شود، به دلایل فنی به تعویق افتاد و ثبتنام آزمون مذکور فردا شنبه ۱۷ مردادماه آغاز خواهد شد.
آزمون کارشناسی ارشد سال ۱۴۰۵ در نوبت عصر روز پنجشنبه ۷ آبانماه ۱۴۰۵ و در نوبتهای صبح و عصر روز جمعه ۸ آبانماه ۱۴۰۵ برگزار خواهد شد.
➖➖➖
کانال تلگرامی اخبا…
‼️ لغو قرارداد، تعلیق و جریمه پرستاران بیمارستان فیاضبخش؛ بهانهجویی مدیران بیمارستان و سکوت مسئولین! 🚨
اخراج تعدادی از پرستاران بیمارستان فیاضبخش تهران، بار دیگر موضوع امنیت شغلی و مطالبات پرستاران را به یکی از مهمترین چالشهای نظام سلامت تبدیل کرده است. این اتفاق در شرایطی رخ داده که کمبود نیروی پرستاری، اضافهکاریهای اجباری و فشار کاری بالا از مهمترین مشکلات این حرفه به شمار میروند. 🏥⚕️
بر اساس گزارشهای من…
🎙️ اعتراض پرستاران بیمارستان فیاضبخش ریشه در مطالبات صنفی و اجرای ناقص قوانین دارد
🔹 رئیسکل سازمان نظام پرستاری:
اعتراض پرستاران بیمارستان فیاضبخش ریشه در مطالبات صنفی و اجرای ناقص قوانین دارد
دکتر نجاتیان با تأکید بر اینکه ریشه این اعتراضات در اجرای ناقص قوانین، ناهماهنگی نظام پرداخت و مطالبات انباشته پرستاران است، اعلام کرد که بر اساس اعلام مسئولان، هیچگونه بازداشت یا برخورد قضایی و امنیتی با پرستاران صورت نگر…
❇️ سازمان نظام پرستاری در نامهای خطاب به رئیسجمهور، خواستار بازنگری عدالتمحور در نظام پرداخت حوزه سلامت شد
🔹در این نامه با تأکید بر نقش تعیینکننده پرستاران و کارکنان نظام سلامت در حفظ سلامت جامعه، بهویژه در بحرانهایی مانند همهگیری کرونا و جنگ، آمده است که تداوم بیعدالتی در نظام پرداخت و افزایش شکافهای درآمدی میان گروههای مختلف حوزه سلامت، انگیزه سرمایه انسانی و پایداری نظام سلامت را با چالش مواجه میکند.
…
امروز تعرفه شهریور 1404 دانشگاه علوم پزشکی سبزوار رو واریز کردند. برای بنده مبلغی حدود 5 میلیون بود 💰
حالا پیام همکار من رو بخونید.... 👇
✅ ان شالله خدا به مال و جانتون برکت بده 💖
✅ نوووووش جانتون 🥰
✅ گوارای وجودتون 🌸
✅ حقتونه ✨
اما چرا این همه اختلااااااف؟؟؟ 😳🤔
کانال تلگرامی اخبار و مطالب پرستاری 📢
🆔 @nurse_group_sbz
😨4😇2❤1🍌1
Signed AFZALI RAD.M
Showing the 12 most recent of 23 posts we hold for @nurse_group_sbz. 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
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.
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.
کانال خبری پرستاران ایران(INN) @innews_ir · 40,940 Telegram ranks this channel #29 of 86 here — alongside 85 others — read 30 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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.
“اخبار و مطالب پرستاری” (@nurse_group_sbz), 2,307 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/nurse_group_sbz.
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.
