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 26 September 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 why it has no browse page of its own yet.
Growth
8 measurements spanning 34 days, net -34. 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 1,033–1,077 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Oct 2026, 00:14
1,038
-4
5 Oct 2026, 03:18
1,042
-8
26 Sept 2026, 15:20
1,050
-9
17 Sept 2026, 08:39
1,059
-3
13 Sept 2026, 16:01
1,062
-4
9 Sept 2026, 17:54
1,066
-6
7 Sept 2026, 08:22
1,072
no change
7 Sept 2026, 07:47
1,072
first reading
Engagement
12 posts held, back to 9 June 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 28 August 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
303 reactions across 12 posts, in 9 distinct kinds. The most used accounts for 84.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
257
84.8%
🔥
15
4.95%
👍
11
3.63%
💯
8
2.64%
❤🔥
6
1.98%
👏
2
0.66%
🤣
2
0.66%
🕊
1
0.33%
🤔
1
0.33%
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 303 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 9 June 2024 to 28 August 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.
#علم_الحاسب
#علوم_طبية
#قائمة_النخبة_2005
#الامتحان_النصفي
لا تتسلق الجبال ليراك العالم، تسلقها لترى أنت العالم ✨
طلبة كورس علم الحاسب المتفوقين 🎖❤️🥳
محمود مختار العالم 40
خايف من العين 40
شيماء يوسف 40
نبأ حسن 40
آية شهاب الدين 40
رنا فتحي 40
مودة التائب 38
ضحى النوري 38
ميار إبراهيم تاتة 38
نزهة خليفة 38
تسنيم الشريف 38
آلاء قنيدي 38
شيماء عبد الحليم 38
منذر القهواجي 38
أحمد الشِّيَّال 38
مروة بشير 38
دعاء عمرا…
الحمد لله ❤️
هذا من فضل ربي ❤️
كمية البشائر اليوم من الدكاترة لا قوة الا بالله، وهذا بتوفيق الله عز وجل اولاً ثم بفضل اجتهادكم واهتمامكم بالمادة 🎖
اني فخور بتدريس دفعة نخبة مثلكم، وباذن الله تستمر النجاحات في الفاينل 🔥
هذا النصفي ومشي علي خير، توا ارتاحو شوية والهو بباقي موادكم لانها تبي اهتمام اكثر.
ملتقانا بعد الامتحانات ان شاء الله ✅
موفقين يارب ❤️
#م_محمد_كميل
كورس النصفي ولى بنصف القيمة 🔥❤️
بدل 80 ولى بـــــ ⭐️⭐️ 40 دينار فقط ⭐️⭐️
يعني 80 تاخذ بيها كورس ليك ولصاحبك 😎
العرض متاح لمدة 3️⃣ أيام وتقدر تشترك فيه من غدوا لدى جميع نقاط الاشتراك ✅
س. كيف نشترك في العرض متع الكورس ؟ 🧐
ج. شوف البوست المثبت فوق ⬆️
س. أمتى اخر موعد للعرض ؟
ج. أخر موعد نهاية دوام يوم السبت القادم ⚠️
#ال40_في_الجيب
دكاترة جمعتكم طيبة ❤️
طمنونا عليكم شن جو الحاسب معاكم والفصل الدراسي عموما؟
في ظاهرة بديت نشوف فيها هلبا نبي نتكلم عليها وهي بوستات المقارنة بين الاساتذة في القروبات ومن احسن فلان ولا فلان.
الحقيقة اني ضد موضوع المقارنات هذا لان يسبب في حساسيات لبعض الناس، وفي من وصلت بيه انه يتصيد ويمسح في تعليقات واراء الطلبة في حق استاذ اخر غيره بس لمجرد انه تم مدحه او ذكر اسمه.
يا اخي الارزاق بيد الله وكل واحد ربي كاتبله رزقه، …
السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ.
بارك اللهُ في كُلِّ من ساهم معنا في حملة فزعة طالب، الَّتي استهدفت العائلات المُتضررة من الإعصار، الحملة استطاعت بفضل اللّٰه ثم جُهود النَّاس الخيّرة أن تصل الى مُبتغاها، رسمتم البسمة علىٰ وُجوه الأطفال و كنتم سببًا في دخول البهجة إلى قلوبهم.
و بمُناسبة قرب حُلُول عيد الاضحى المُبارك ندعوكم لِـمَد يد المُساعدة والمُساندة في حملةٍ ثانية تستهدف العائلات المُحتاجة …
الشيت الثاني نزل 🎖🔥
شيت 2 : البوابات المنطقية
الشيت متوفر لدى :
- مصور 2000 بكلية الطب البشري ✅
- مصور الرائد بكلية الهندسة ✅
كل محتوى الشيت واكثر مشروح بالتفصيل في الكورس 🎖❤️
بالتوفيق دكاترة ❤️🩺
الحل النموذجي للواجب الأول (1) ضمن محتوى الكورس ✅
الأنظمة العددية 🎖
حل الطالبة المتميزة : نزهة خليفة ⭐️
❤11🔥1🕊1
Signed Mohamed Kamil
Showing the 12 most recent of 12 posts we hold for @CSForMED. 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
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.
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 11 October 2026 — this
entry's latest reading, not the date you are reading this.
“علم الحاسب (طبية) - م. محمد كميل” (@CSForMED), 1,038 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/CSForMED.
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.
