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 18 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
5 measurements spanning 18 days, net -2. 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 2,183–2,189 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:39
2,184
-2
13 Sept 2026, 15:02
2,186
-2
9 Sept 2026, 20:42
2,188
+1
31 Aug 2026, 16:34
2,187
+1
31 Aug 2026, 09:45
2,186
first reading
Engagement
12 posts held, back to 5 August 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 12 posts for this entry, the most recent from 12 January 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6s
Average length
6s
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
182 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 80.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
147
80.8%
❤🔥
24
13.2%
🔥
6
3.30%
👍
3
1.65%
👏
1
0.549%
🤔
1
0.549%
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 12 of the 12 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 182 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 5 August 2024 to 12 January 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.
السلام عليكم ورحمة الله
أدناه ننشر لكم مشروع أخينا الدكتور محمد علي في تعلم تخطيط القلب، دعمًا له ولمشروعه العلمي ونسأل الله له التوفيق.
إحترف تخطيط القلب مع بطاقات QMedix التعليمية.
ECG Flashcards | 100 High-Yield ECG Cases.
تفاصيل المنتج :
🟦 100 بطاقة Flashcard
كل بطاقة Flashcard تحتوي على تخطيط في الوجه مع interpretation كامل في ظهر البطاقة.
🟦 البطاقات تغطي أغلب الحالات في تخطيط القلب وبأكثر من 50 موضوع مخت…
https://youtu.be/_8EEXPsVvGI?si=mQPpzComxchgp8xc
السلام عليكم
راح ابدي وياكم سلسلة فيديوهات بعنوان
How to study effectively
الهدف من هاي السلسلة هو الإجابة عن سؤال مهم وهو : شلون نقرا ؟
شنو أفضل طريقة للدراسة ؟
شنو الشغلات اللازم نتجنبهه ؟
وشنو الشغلات المفروض نسويهه حتى نقرا بطريقة صحيحة ؟
هاي الفيديوهات هي خلاصة تجربتي بكلية الطب وتجربة العديد من طرق الدراسة وإن شاء الله تساعد الطلاب وترسم الهم خارطة طريق واضحة …
نُقِل عن الامام علي ابن ابي طالب عليه السلام قوله في بعض الأَعيَاد: إِنَّمَا هُوَ عِيدٌ لِمَنْ قَبلَ اللهُ صِيَامَهُ وَشَكَرَ قِيَامَهُ، وَكُلُّ يَوْمٍ لاَ يُعْصَى اللهُ فِيهِ فَهُوَ عِيدٌ.
كل عام وخريجينا وطلابنا بألف خير 🤍
تقبل الله طاعاتكم وينعاد عليكم رمضان وانتو بصحة وسلامة ومحققين اهدافكم وامنياتكم✨
1- Motor system introduction
https://youtu.be/wQQzZn5Ih3c
2- motor system examination lecture
https://youtu.be/mT-Qzt3wVTk
🔹فيديوات اضافية ( من الممكن تأجيلها )
Upper limb & lower limb motor examination:
🔹https://youtu.be/5knyQRCTHzw
🔹https://youtu.be/r85qkj8aRAk
#Neuro25
السلام عليكم
#neuro25
المحاضرة الاولى وهي مقدمة عامة توضح طريقة التفكير في هذا التخصص وامراضه.
First lecture introduction on how to think in neurology and clinical neurosurgery.
Duration:35 min
This lec is based on Dr. Hasan Alhamdani lec / Nahrain university
Batwing appearance (perihilar interstitial infiltration) of acute pulmonary oedema associated with pleural effusion (crescent sign) in an elderly patient
#medicine_cases
Middle age patient has kartagener syndrome with dextrocardia, bronchiectasis and clubbing with repeated chest infection. Recently, he was diagnosed with TB and the chest radiograph and CT scan of the chest show air fluid level suggestive of cavity due to TB
#medicine_cases
Showing the 12 most recent of 12 posts we hold for @Himednucom. 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.
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.
Dr.Haider Abdulridha Baqer @Drhaidermedicalcourses · 29,832 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 8 September 2026
Osmosis @Osmosis2024 · 23,581 Telegram ranks this channel #52 of 83 here — alongside 82 others — read 18 September 2026
Ninja Nerd Videos & Notes 2026 @NinjaNerd770 · 38,849 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 31 August 2026
This channel appears in 3 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.
“HiMed NUCOM 32” (@Himednucom), 2,184 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Himednucom.
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.
