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 19 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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 18 days, net -7. 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 918–927 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 07:18
919
-3
9 Sept 2026, 15:16
922
-4
30 Aug 2026, 12:02
926
no change
30 Aug 2026, 08:15
926
first reading
Engagement
17 posts held, back to 4 July 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
19.5%
avg views ÷ 919 subscribers
Avg views / post
179
1 post measured
Reaction rate
2.23%
reactions ÷ views · ER floor
Posts in window
1
of 17 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 25 August 2026
Posts held
17 (4 July 2026 – 25 August 2026)
Views total
179
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 08:15 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.
What this channel posts
Video runtime
6m 56s
Average length
1m 44s
Measured directly from 4 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
89 reactions across 17 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
89
100.0%
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 17 of the 17 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 89 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 July 2026 to 25 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.
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طبعا اليوم رحنا المستشفى نداوم زي العادة كان توزيعي في عناية الكلى..
كانت معنا مريضة كلى وكانت تغسل من قبل طبعًا كانت المريضة في قسم الرقود تعبت عليهم في الليل ونزلوها العناية..
المهم من وقت ما دخلنا وهي حالتها تعبانة والضغط هابط قوي وكانت ماشية على Norepinephrine 8 (double dose) وما نفع معها...
قال الممرض نزيد نضيف لها Dopamine 400 (double dose) وبرضه ما ارتفع هابط كان يوصل إلى 65/30...
جاء الدكتور وقال نضيف…
⭕️لماذا لا يجوز اعطاء الهيبارين Heparin عضلي I.M⁉️
لانه لو اعطيتها بشكل عضلي I.M سوف تسبب نزيف دموي تحت الجلد وبالتالي ستؤدي الى ورم دموي hematoma لذالك يعطى فقط وريديا I.V❗️
https://t.me/kmhmadk
〰〰〰〰〰〰〰〰〰〰〰
🔺 Rooting reflex
( منعكس تجذيري)
عند لمس حافة الفم يدير الطفل رأسه ويفتح فمه نحو مكان اللمس.
ال reflex بيساعد الطفل على العثور على الثدي او إزازة اللبن عشان الرضاعة .
ويستمر لمدة أربعة أشهر من بعد الولادة .
ما ذنبنا نحن الطلاب؟! نحن لم نختر الحرب، ولم نختر الانقسام، ولم نختر أن نكون ضحايا لصراعات السياسة. درسنا 12 سنة، تعبنا وسهرنا وضحينا بالكثير، وتحملنا ظروفًا قاسية كان يكفي منها أن تجعلنا نفقد الأمل. وفي النهاية، يأتي قرار سياسي ليضع مستقبل الطالب ومستقبله العلمي في مهب الخلافات! أنا كطالب، ما علاقتي بصراعاتكم؟ ما ذنبي أن أتعب سنوات، ثم أجد شهادتي ومستقبلي مهددين بسبب الانقسام؟ لماذا يدفع الطالب ثمن أخطاء السياسيين؟ …
🦠 لماذا لا تعالج المضادات الحيوية نزلات البرد؟
• معظم نزلات البرد سببها فيروسات، بينما تعمل المضادات الحيوية ضد البكتيريا فقط، لذلك لا تكون مفيدة في علاج العدوى الفيروسية.
• استخدام المضاد الحيوي دون حاجة قد يؤدي إلى ظهور بكتيريا مقاومة للأدوية، مما يجعل علاج بعض الالتهابات البكتيرية أصعب مستقبلًا.
• يُستخدم المضاد الحيوي عندما يقرر الطبيب وجود عدوى بكتيرية تحتاج إليه، وبالجرعة والمدة المحددة، وليس لمجرد وجود أعرا…
🧠 لماذا يحتاج الإنسان إلى النوم؟
• أثناء النوم يقوم الدماغ بعمليات مهمة مثل تنظيم الذكريات ومعالجة المعلومات التي تم تعلمها خلال اليوم.
• يساعد النوم الجسم على تنظيم بعض الهرمونات، ودعم جهاز المناعة، وإصلاح الأنسجة وتجديد الطاقة.
• قلة النوم المستمرة قد تؤثر في التركيز، والمزاج، والقدرة على اتخاذ القرارات، وقد ترتبط بزيادة خطر بعض المشكلات الصحية على المدى الطويل.
كيف تتعرف سبب انواع المغص المختلفه. 👩⚕🌼
👩⚕ الألم البطني Abdominal pain إذا كان في أعلى البطن فربما يكون بسبب ألتهاب المعدة أو بسبب مشاكل في المرارة.
👩⚕ وإذا كان Abdominal pain ينتقل إلى الظهر مع مشاكل في البول مثل الحرقه والتقطع فهذا قد يشير أما إلى حصوه في الكليه أو التهاب الكليه البكتيري مثل التهاب حوض الكليه.
👩⚕ وإذا كان الألم البطني Abdominal pain مصحوب بأرتفاع درجة الحرارة وتقيوء فقط فقد يشير إلى ألتها…
👍5
Showing the 12 most recent of 17 posts we hold for @kmhmadk. 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“إنـَارة الطبٌ💉” (@kmhmadk), 919 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kmhmadk.
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.