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 20 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
4 measurements spanning 17 days, net +8. 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 688–698 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 05:39
697
+5
8 Sept 2026, 15:16
692
+2
30 Aug 2026, 20:17
690
+1
29 Aug 2026, 21:15
689
first reading
Engagement
20 posts held, back to 28 August 2026 — 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.
ERR · 30 days
19.1%
avg views ÷ 697 subscribers
Avg views / post
133
20 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 18 of 20 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 29 August 2026
Posts held
20 (28 August 2026 – 29 August 2026)
Views total
2,669
Reactions total
54
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 21:15 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.
Reaction mix
54 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 61.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
33
61.1%
👍
11
20.4%
💔
4
7.41%
🔥
3
5.56%
💯
2
3.70%
👏
1
1.85%
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 18 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 54 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 28 August 2026 to 29 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.
📢 تنبيه مهم لأعضاء اللجنة العلمية 📢
مساء الخير جميعًا 🌷
بما أننا مقبلين على الاختبارات، نحتاج من كل عضو في اللجنة يتابع تخصصه ومادته ويشوف إيش أكثر الأشياء التي يحتاجها الطلاب من تقويات، مراجعات، ملخصات أو نماذج أسئلة.
🔹 كل عضو يرفع لنا احتياج تخصصه بشكل واضح، عشان نبدأ بالتنسيق والتجهيز من بدري ويبلغو رئيس اللجنة العلمية
🔹 إذا كان المطلوب شرح أو تقوية لموضوع معين، بلغونا بالموضوع وعدد الطلاب المحتاجين له.
🔹 ونحن ب…
🏅 شهادة شكر وتقدير 🌷
تقديرًا وعرفانًا بجهودها المتميزة، قدّم طلاب بكالوريوس تقنية العمليات – الدفعة الثانية – المستوى الثالث، وبالتعاون مع جامعة 21 سبتمبر للعلوم الطبية والتطبيقية، ممثلةً بـكلية العلوم الطبية والتطبيقية والدائرة السريرية بالكلية، وملتقى الطالب الجامعي.
شهادة شكر وتقدير
للدكتورة هناء عبدالله سالمين، مشرفة الطلاب في مستشفى الجمهوري.
وذلك تقديرًا لجهودها المتميزة في الإشراف والتدريب الميداني، وما قدمت…
بصفتي مندوبة الدفعة تبع طالبات القبالة، أدرك تماماً كم كانت مادة الإحصاء تُشكل هاجساً وقلقاً لنا جميعاً، إلى أن جاءت الزميلة الدكتورة سبأ السماوي لتغير هذا الشعور تماماً.
نيابةً عن نفسي ونيابةً عن كل زميلة جلست تستمع وتتعلم، أقولها بكل صدق: لقد كنتِ يا دكتورة سبأ أكثر من مجرد شريحة عرض أو شرح لمعادلة؛ لقد كنتِ طوق نجاة، ويداً أمددتِها لنا بكل حب لتنتشلينا من خوف الأرقام إلى متى فهمها.
بأسلوبكِ الراقي، وصبركِ الجمي…
ضمن أنشطة الملتقى الطلابي أُقيمت محاضرة تقوية اليوم لطلبة المستوى الثالث – الاحصاء الطبي بكلية العلوم الطبية والتطبيقية
والذي تم شرحهاا من قبل زميلتنا / سبأ السماوي
ــــــــــــــــــــــــــــــــــــــــــــــ
#جامعة_21_سبتمبر
#ملتقى_الطالب_الجامعي
#دورات_التقويه
#اللجنة_الاعلامية_المركزيه
Epidural Hematoma. Findings of an epidural hematoma include a high-density, extraaxial, biconvex, lens-shaped mass-like lesion often found in the temporal-parietal region of the brain (black arrow).
There is a scalp hematoma also present (white arrow). The patient had atemporal bone skull fracture seen on bone windows.
Subarachnoid Hemorrhage, Unenhanced CT Scans.
(A) Subarachnoid blood is most easily visualized within the basal cisterns (arrows), (B) in the fissures (arrows)
(C) interdigitated in the subarachnoid spaces of the sulci (white arrow).
The region of the falx may become hyperdense,widened, and
irregularly marginated (black arrow).
Intracerebral Hemorrhage, Acute.
Freshly extravasated
whole blood, such as this bleed into the thalamus (arrow), will be visible
as increased density on nonenhanced CT scans of the brain due primarily
to the protein in the blood (mostly hemoglobin).
The clot will usually
become invisible over the next several weeks.
Intraventricular Hemorrhage. Intraventricular hemorrhage
in adults is frequently the result of breakthrough bleeding from a hypertensive basal ganglia hemorrhage, brain contusion, or subarachnoid
hemorrhage.
It is typically associated with severe brain damage,results in communicating hydrocephalus, and has a poor prognosis.
In this unenhanced CT image, blood is seen in the 3rd ventricle (dashed arrow) and the occipit…
🔝🔝🔝🔝
four types of intracranial hemorrhages that can be associated with head trauma:
•Epidural hematoma
• Subdural hematoma
• Intracerebral hemorrhage
•Subarachnoid hemorrhage
+Intraventricular hemorrhage
👍1
Signed الحطـامي.
Showing the 12 most recent of 20 posts we hold for @the_2nd_scientific_committee. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“اللجنة العلمية_الدفعة الثانية_كلية العلوم الطبية التطبيقية” (@the_2nd_scientific_committee), 697 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/the_2nd_scientific_committee.
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.
