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 83% 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
6 measurements spanning 15 days, net +30. 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 4,099–4,141 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:01
4,136
+7
14 Sept 2026, 00:59
4,129
+14
10 Sept 2026, 12:02
4,115
+11
4 Sept 2026, 21:00
4,104
-2
4 Sept 2026, 00:22
4,106
no change
3 Sept 2026, 23:47
4,106
first reading
Engagement
16 posts held, back to 28 September 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 16 posts for this entry, the most recent from 12 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 33s
Average length
1m 33s
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
320 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 75.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
243
75.9%
🔥
32
10.0%
👍
29
9.06%
👏
7
2.19%
💘
6
1.88%
👎
3
0.938%
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 16 of the 16 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 320 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 28 September 2024 to 12 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.
دعوة للمشاركة في دراسة بحثية
يسرّنا دعوتكم للمشاركة في دراسة بحثية بعنوان:
Burnout, Career Intentions, and Intent to Emigrate Among Early-Career Physicians in the MENA Region: A Multinational Study
تهدف هذه الدراسة إلى تقييم: ✅ مقياس ال (Burnout) ✅ التوجهات المهنية بعد التخرج لدى أطباء الامتياز ( انتارن ) والأطباء الخريجين في بداية مشوارهم
( انتارن . طبيب عام . ريزيدون )
الفئة المستهدفة:
• أطباء الامتياز.
• الأطبا…
السلام عليكم ورحمة الله تعالى وبركاته، نتمنى تكونوا كامل بخير.
معكم زميل من كلية قسنطينة حبيت نشارك معاكم مشروع صغير، عبارة عن تطبيق للهاتف سميتو Obsermed. الفكرة تاعو أنو يسهل عليكم الـ Observation médicale وينظمها في وقت قصير مع pdf export و minuteur لحساب Fc و Fr و Voice to text لل Histoire de maladie
التطبيق متوفر حالياً لمستخدمي الـ Android، تقدروا تحملوه مباشرة من الموقع الرسمي:
https://obsermed.netlify.app
و…
🌍 قناة موجّهة لطلبة الطب في الجزائر المهتمين بالهجرة الطبية.
نشارك فيها كل ما يخص المعادلات الطبية، فرص العمل والمنح للأطباء في الخارج، مع معلومات واضحة تساعدك تبدأ الطريق بثقة.
لأن هذا المجال فيه نقص كبير في المعلومات، وهدفنا نقرّب الصورة لطلبة الطب هنا في الجزائر. 🤍✨
https://t.me/travellllll4567
اذا تقدروا تنشوها في قناتكم من فضلكم و جزاكم الله كل الخير
Bonjour, veuillez nous rejoindre sur notre chaîne télégram destinée aux étudiants en médecine passionnés et enthousiastes 🔥 .
Des quizs, des cas cliniques et pleines de choses à découvrir .
Lien de la chaîne
https://t.me/cascliniquesetquiz
تحية خالصة لجميع طلبة العلوم الطبية
نضع بين أيديكم هذه الصفحة المتواضعة Med remember و التي ستكون بوابتكم لعلوم طبية ميسرة و موثوقة
أين تهدف الصفحة لنشر أهم المعلومات الطبية بطريقة مختصرة و يسيرة تسمح بتذكرها
نشر الحالات السريرية ، أسئلة ، مناقشات ، ملخصات و مخططات تسهل عليكم ترسيخ أفكاركم و تنظيمها
ساعين في ذلك لتطويرها و الرقي بهذا العلم النبيل
رابط قناة التلغرام :
https://t.me/MEDREMEMBRE
لو وضعوا أطباء العالم في كفة
وأطباء غزة في كفة
لأثقل الدكتور حسام أبو صفية والدكتور عدنان البرش
كفة أطباء غزة ورجحت .
...وغيرهم من الأبطال الذين لا نعرف أسماءهم لكن الله يعرفها جيدا
أطباء ومرابطين وثابتين
للّه درُّهم !
الدكتور حسام ذهب إلى الاعتقال بقدميه
وهو الآن تحت التعذيب
ادعوا له ..
🔴 نرجعو للقراية شوية... علاه المرأة الحامل كي يلحق شهرها ننبهوها ما تشربش القرفة؟
خاطرش القرفة فيها مكونات تحفز إنتاج les prostaglandines لي هوما مواد تحفز بزاف تقلصات الرحم... مما يؤدي إلى تسريع الولادة
في الحالة الفيزيولوجية التقلصات تكون متباعدة أثناء الولادة تسما الجنين يقدر يتنفس... مي القرفة تخليها متقاربة و قوية تسما الجنين يتخنق كون يطول ما نجبدهوش زايد هاذيك التشنجات قادر تكون قاصحة على الرحم و تخليه يتقطع ا…
Showing the 12 most recent of 16 posts we hold for @gynecologie_obst. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is 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 16 most recent posts we hold, published 28 September 2024 to 12 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
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
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.
L'oasis des médecins ✨ @MedOasis · 26,467 Telegram ranks this channel #16 of 76 here — alongside 75 others — read 12 September 2026
Radiographie thoracique دكتور حوري بلقاسم @radiographiethoraciquedrhouri · 21,905 Telegram ranks this channel #39 of 68 here — alongside 67 others — read 22 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Gynécologie obstétrique” (@gynecologie_obst), 4,136 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/gynecologie_obst.
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.
