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 4 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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
13 measurements spanning 60 days, net -23. 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 2,062–2,091 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Nov 2026, 11:27
2,065
-2
2 Nov 2026, 02:48
2,067
-7
29 Oct 2026, 17:29
2,074
+1
26 Oct 2026, 16:51
2,073
+2
23 Oct 2026, 06:56
2,071
-1
20 Oct 2026, 14:09
2,072
-2
14 Oct 2026, 14:00
2,074
-4
10 Oct 2026, 20:00
2,078
-2
4 Oct 2026, 18:16
2,080
-7
17 Sept 2026, 04:18
2,087
+1
13 Sept 2026, 01:39
2,086
-2
6 Sept 2026, 03:22
2,088
no change
6 Sept 2026, 02:49
2,088
first reading
Engagement
20 posts held, back to 24 March 2022 — 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 20 posts for this entry, the most recent from 18 December 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 19s
Average length
1m 19s
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
64 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
48
75.0%
❤
16
25.0%
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 14 of the 20 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 64 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 March 2022 to 18 December 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
👈دراسة الطواريء والعناية المركزة عندنا يختلف تماماً عن أي دبلومات أخرى جملة وتفصيلاً ! .
ليش الاختلاف ؟!
لأن تعلم الطواريء والعناية مش سماع محاضرات نظري وخلاص !
أهم حاجة على الإطلاق ، رؤية التطبيق العملي من المتدرب ، ثم كل دكتور يشتغل بنفسه ( Hands on) ، ويقدر يشخص ويتعامل مع اغلب الحالات الطارئة , ويتم مراجعة ذلك مرات عديدة وتصحيح الأخطاء .
هذا غير إننا نعلم الطواريء والعناية المركزة فقط ! ، لكن بنعلم
How to…
🔥اضخم دورة للموضوع الأهم لدكاترة الطب🔥
✨التوفل المهني الطبي (OET)✨ حالياً من أهم المتطلبات بجانب جميع الرخص والمعادلات العالمية بما فيها المعادلات الامريكية USMLE والمعادلة الأسترالية والعديد العديد من المعادلات .
#لمن_لايعرف: فهو البوابة الرئيسية للدخول إلى بريطانيا حيث أن الحجز لامتحان PLAB (المعادلة البريطانية) لا يتم إلا بعد اجتيازك لهذا الامتحان كخطوة اولى للحجز.
#الدورة تعرفيه عن طريق ال OET بالكامل، من حيث …
## 🎤 مقتطفات من اختبار OET في يمن ميديكال هب 🎧
نشارككم بعضًا من كلمات السننج ورايتنج من اختبار OET الذي أقيم اليوم الاثنين في يمن ميديكال هب.
Listening words 29/7/2024 exam
Dark
Pale
Sales manager
swallowing
Constipation
Jaundice
Fatigue
Dizzy
Cirrhosis
Panic
Fidgety
inhalation smoking
bleeding
socks
two weeks
Allergies
fruits
fourteen days
Burping
Writing :refer letter to a dermatologist due to plaque psorias…
🩺🗣️ طبيب؟ ممرض؟ صيدلي؟ أسنان ؟ أو تبحث عن إتقان اللغة الإنجليزية بشكل عام؟
لدينا مايناسبك في يمن ميديكال هَب
دبلوم اللغة الإنجليزية (مسارين) 🔥
1️⃣ مسار طبي:
* مصطلحات طبية دقيقة.
* مهارات تواصل فعّالة مع المرضى.
* فهم سلس للأبحاث والدراسات الطبية.
* اجتياز اختبارات OET, OER وغيرها بثقة.
2️⃣ مسار عام:
* طلاقة في المحادثة باللغة الإنجليزية.
* تحسين مهارات الكتابة والقراءة والاستماع.
* التمهيد لاختبارات TOEF…
⭐️⭐️⭐️المنحة الشامله ⭐️⭐️⭐️
لزملائنا الدكاتره المهتمين ب إمتحان التوفل الطبي المهني OET
🔵نقدم لكم عرض للاختبار ممول بالكامل ويشمل:
🔹كورس تأهيل الامتحان
🔹الداتا الخاصة ب الامتحان
🔹خدمة الحجز للإمتحان
🔹رسوم الامتحان
🔹مكان ل إجراء الامتحان في يمن ميديكال هب بدون السفر الى الخارج 😍😍😍
🔷️متابعة شاملة
🔷️🔷️🔷️النجاح مضمون 96% 🔷️🔷️🔷️
🔵معك من بداية الطريق الى الحصول على الشهادة 💙💙💙
💥رسوم المنحة كاملة = 530$
🏛يمن ميديكال هب…
OET Course For Doctors
💫تمـكن مـن إجتياز امتحان ال OET وأتقن جميع المهارات التي تحتاجها لذلك.. 💫
💥يسرنا في #يمن_ميديكال_هب - أن نعلن لكم عن موعد التسجيل للمجموعة القادمة 😍 ..
✨OET Online Course ✨
🔹️مع الدكتور الفاضل: أحمد مقابلة
خريج كلية الطب الجامعة الهاشمية من الأردن.
☆مدرب في الموقع الرسمي لامتحان الOET.
☆حاصل على درجة مميزة في الامتحان وخبرة في تدريسه.
☆عضو في جمعية القلب الأمريكية AHA .
☆عضو في المنشأة الأمر…
من منطلق قول الله تعالى ( ومن أحياها )
إلى كل فاعلين الخير في هذه الأيام المباركة نناشدكم في إنقاذ حياة شخص يعاني من انسداد في الشرايين التاجية لعضلة القلب وهو يحتاج إلى زراعه مستعجله للشرايين مرفقا لكم تقرير الحاله .فنرجوا من كل من يقدر المساعدة أو على الأقل يعرف فاعلين خير من مؤسسات أو منظمات إبلاغنا ولكم جزيل الشكر واسال من الله ان يمن على الجميع بالصحة والعافيه .
للتواصل على الارقام التاليه
773875459.
777897073.
Showing the 12 most recent of 20 posts we hold for @pediatrics_32. 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
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
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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“أطفال - دفعة 32 طب بشري” (@pediatrics_32), 2,065 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/pediatrics_32.
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.
