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 9 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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
36 measurements spanning 58 days, net -533. 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 31,034–31,727 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
4 Oct 2026, 15:21
31,114
-86
26 Sept 2026, 07:57
31,200
-57
19 Sept 2026, 12:57
31,257
-23
17 Sept 2026, 01:38
31,280
-11
15 Sept 2026, 05:59
31,291
-2
13 Sept 2026, 16:57
31,293
-21
12 Sept 2026, 01:19
31,314
-22
9 Sept 2026, 19:16
31,336
-29
6 Sept 2026, 10:57
31,365
-20
4 Sept 2026, 05:39
31,385
-6
2 Sept 2026, 20:55
31,391
-13
1 Sept 2026, 17:16
31,404
-7
31 Aug 2026, 18:34
31,411
-7
29 Aug 2026, 23:44
31,418
-13
28 Aug 2026, 22:06
31,431
-10
27 Aug 2026, 22:34
31,441
-6
26 Aug 2026, 22:46
31,447
-6
26 Aug 2026, 01:07
31,453
-12
24 Aug 2026, 21:45
31,465
-18
23 Aug 2026, 07:04
31,483
first reading
Engagement
78 posts held, back to 3 October 2025 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 99 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.37%
avg views ÷ 31,114 subscribers
Avg views / post
1,360
61 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
64
of 78 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 60 of 61 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 October 2026
Posts held
78 (3 October 2025 – 6 October 2026)
Views total
82,896
Reactions total
879
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 00:12 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
12
Videos
5
Links
3
Lifetime counters from Telegram’s own channel header, read 7 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
24m 43s
Average length
4m 57s
Measured directly from 5 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
1,030 reactions across 72 posts, in 12 distinct kinds. The most used accounts for 68.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
709
68.8%
👌
129
12.5%
😢
69
6.70%
🥰
37
3.59%
👍
32
3.11%
👏
13
1.26%
😁
13
1.26%
😭
10
0.971%
🫡
9
0.874%
💔
5
0.485%
🔥
3
0.291%
🎉
1
0.097%
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 72 of the 78 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 1,030 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 78 most recent posts we hold, published 3 October 2025 to 6 October 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.
زملائنا الچناير في تخصص ال OB/GYN وفي الباطنة بردو:
أنيميا نقص الحديد والثلاسيميا:
ضروري جداً نفرق بينهم علشان هتلاقي حالات كتير عند حضرتك في العيادة
.
هقول لحضرتك على حاجات بسيطة وسهلة نعرف بها الفرق:
.
مبدأياً مفيش حاجة اسمها نعمل هيموجلوبين بس
بنعمل صورة دم كاملة CBC
.
هنشوف الهيموجلوبين:
الحالتين بيكون فيهم نقص في الهيموجلوبين
.
بعد كدة هنشوف ال MCV and MCH
دول بيمثلوا حجم خلية كرات الدم الحمراء وكمان محتوى الهي…
هل الأهم فى تقييم الدوخة هو الوصف الدقيق لطبيعتها؟
ده طبعا مهم وبيسهل كتير فى الوصول للتشخيص السليم بس فيه كتير من الحالات المريض مبيبقاش عارف يحط التوصيف للاعراض اللى بيشتكى منها (فيه دراسة لطيفة فى النقطادى من جوزنز هوبكنز لقوا إن اكتر من نص العيانين بيغير كلامه لما يتسأل تانى بعدها ب ٦ دقائق)
يبقى كده مهم معانا ال timing يعنى هل حاجة جديدة ولا بتيجى نوبات ولا مستمرة
و ايه اللى بيجيب الدوخة trigger هل حركة الرأس فى…
لازم تيجي لحظة تعترف بعجزك ، مهما كان عندك من علم أو إمكانيات ، هتتقف حائر و عاجز قدام حالات كتير منها اتذكر شاب مكنش عنده اي تاريخ مرضي ، خلال ساعات سخونة خفيفة ، تشنجات، تدهور في الوعي ، اتحجز بالعناية المركزة، اتحط علي تنفس صناعي ، الأشعة المقطعية و الرنين ...
Diffuse bilateral brain edema....
خلال أيام توفي من غير الوصول لتشخيص مناسب، الإحتمالات كانت كتير ؟؟؟ بس في النهاية احنا أسباب ....
حالات زي كدا ممكن ت…
الشباب المتحمس فى الاستقبال
💡 ١. لا تعطي الأوكسجين بنسبة 100% لفترة طويلة في مرضى COPD
لأن هؤلاء المرضى يعتمدون على hypoxic drive في التنفس.
↑ O₂ = ↓ drive = احتباس CO₂ → CO₂ narcosis → غيبوبة!
💡 ٢. لا تعطي محاليل فيها جلوكوز لمرضى زيادة الضغط داخل الدماغ (ICP ↑)
الجلوكوز يدخل الخلايا → يسحب ماء → ↑ وذمة دماغية (Brain edema).
💡 ٣. ألم في الساق + عدم القدرة على التحميل بعد حادث → افحص النبض!
ممكن تكون متلازمة الحيز…
توقيت إعطاء المذيب الthrombolytic يختلف حسب الحاله :
✅فالischmic stroke أربع ساعات ونص فقط من بدايه الاعراض
✅فالSTEMI لغايه ١٢ ساعه من ال onset of maximum pain
✅فالpulmonary embolism معاك لغايه ١٤ يوم
وطبعا اولاً لازم استبعاد كل الcontraindications اللي تمنع إعطاء المذيب
د. محمد أبوشنب
زملائنا الچناير: 🔁
ابدأ من الصفر مع أي حالة تحويل وإوعى تصدق جواب تحويل حتى يثبت غير ذلك:
لو حضرتك شغال في الطوارئ (أو حتى في عيادة خاصة)
وجالك تحويل من حد من الزملاء سواء كبير أو صغير
واجب عليك أنك تحترم زميلك أمام المريض ولكن:
ابدأ مع الحالة من الصفر في التاريخ المرضي والفحص السريري
وإياك تعتمد على جواب التحويل في قرارك مع الحالة
.
هقولك على حاجات حصلت معايا:
فترة النيابة وصلت الاستقبال حالة تقريبا ٤٨ سنة في غيبوبة…
.. اغرب حالة دخلت في غيبوبة كيتونية شفتها ايه.
.. شاب 14 سنة متشخص جديد.
.. بعد ماخرج من المستشفي لما اتحجز اول مرة.
.. بعد يومين تقريبا رجع تاني بغيبوبة عنيفة.
.. الولد واهله كانوا عاوزين يعرفوا السبب.
.. الجرعات حتي الاضافية ماكانتش بتنزل السكر.
.. غيروا القلم.
.. السبب ان السن بتاع القلم في cap غطا ابيض بيبقي مغطيه.
.. الولد كان بيحقن الانسولين بالسن من غير مايشيل الغطا دا.
.. ايه دا ازاي.
..زي مابقولك كدا.
..عشان…
هذه أهم 7 أخطاء قاتلة يقع فيها كثير من الأطباء:
1️⃣ حساب الجرعة بدون تعويض مخزون الحديد
بعض الأطباء يحسب الفرق في Hb فقط وينسى مخزون الحديد (≈500 mg).
النتيجة: تحسن Hb قليل ثم عودة الأنيميا سريعًا.
2️⃣ إعطاء جرعة أقل من المطلوب
إعطاء 500–1000 mg فقط لمريض يحتاج 1500–2000 mg.
يحدث غالبًا عند عدم استخدام معادلة Ganzoni formula أو القاعدة السريرية.
3️⃣ إعطاء الحديد الوريدي بعد نقل الدم مباشرة
في حالة نقل الدم في B…
بنت عندها 8 شهور جاتلنا المستشفى ومعاها ابوها وامها منهارين تماما وباين عالأم والأب الإرهاق جدا وعدم النوم وأول حاجه عملها حط البنت عالسرير وقال لو سمحت شوفلنا حل يا دكتور ف رانسي بقالها 3 ايام منامتش وعياط مستمر لحد ما كشفنا عند 3 دكاترة مختلفين في 3 ايام بسبب العياط وعدم النوم ومش عارفين سبب محدد للعياط المستمر لحد دلوقتي
خدت مضاد حيوي حقن ودوا ومسكنات وأدوية مغص بدون نتيجة ..
كانت التشخيصات اللي وصلولها مابين مغ…
❤22👏4😢2
Showing the 12 most recent of 78 posts we hold for @tabib7th. 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.
Posts edited after publishing
@tabib7th edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
6 September 2026
Most recent edit
6 September 2026
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Pediatric Medicine⁵ @pediatricM5 · 815 (as read 6 September 2026)#1
حالات سريرية معلومات طبية عامه مواضيع طبيه متنوعة طب بلا حدود علم ادوية صيدلةتمريض مختبرات قبالة فحوصات مناقشه قروب طب مجموعه طب @wwwwbp · 3,247#2
Surgery⁵ @SurgeryBatch5 · 692 (as read 6 September 2026)#3
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
MRCP ROAD - PART ONE @DrOsamaMrcpPart1 · 51,706 Telegram ranks this channel #17 of 64 here — alongside 63 others — read 26 August 2026
Clinical Case @clinicalcase3 · 21,231 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 24 September 2026
قناة أسراوي في العيادة 📝 @asrawyfel3yadachannel · 32,293 Telegram ranks this channel #39 of 83 here — alongside 82 others — read 5 September 2026
Medical MCQs @MCQ_mogahed · 35,062 Telegram ranks this channel #41 of 76 here — alongside 75 others — read 2 September 2026
EMLE - امتحان مزاولة مهنة الطب بمصر @emle2 · 34,164 Telegram ranks this channel #48 of 76 here — alongside 75 others — read 7 September 2026
📚 المخزن 🩺 @TheStudyStore · 49,808 Telegram ranks this channel #54 of 83 here — alongside 82 others — read 26 August 2026
سافر (Suffer) يا دكتور @Suffer_ya_doctor · 135,226 Telegram ranks this channel #55 of 88 here — alongside 87 others — read 16 August 2026
مورستان بلاك ليست🕵♂ @Morestanblacklist88 · 26,963 Telegram ranks this channel #65 of 91 here — alongside 90 others — read 12 September 2026
This channel appears in 8 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Doc kamal” (@tabib7th), 31,114 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/tabib7th.
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.