Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 12 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
5,080 average views per post against 5,616 subscribers — an engagement rate of 90.5%. Across the 6,598 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Arabic — the middle half sit between 4.00% and 17.5%, with a median of 9.03%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
26 of 26 published in the window (0 exact, 26 rounded by Telegram)
Views totalled
132,090
Mature posts only
97.4% over 23 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 3 days, net +15. 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 5,599–5,618 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 23:21
5,616
+13
8 Aug 2026, 08:37
5,603
+2
7 Aug 2026, 19:18
5,601
no change
7 Aug 2026, 19:05
5,601
first reading
Engagement
26 posts held, back to 22 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 6 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
90.5%
avg views ÷ 5,616 subscribers
Avg views / post
5,080
26 posts measured
Reaction rate
1.23%
reactions ÷ views · ER floor
Posts in window
26
of 26 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 11 August 2026
Posts held
26 (22 July 2026 – 11 August 2026)
Views total
132,090
Reactions total
1,631
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:04 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
≈248
Videos
≈8
Links
≈1,170
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
1,631 reactions across 26 posts, in 8 distinct kinds. The most used accounts for 42.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
686
42.1%
👏
257
15.8%
🔥
221
13.5%
🙏
186
11.4%
💔
155
9.50%
😢
102
6.25%
🫡
14
0.858%
👍
10
0.613%
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 26 of the 26 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 1,631reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 22 July 2026 to 11 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.
● أبرز ما تضمنه البرنامج الحكومي للأعوام (2026 - 2029) الذي قرر مجلس الوزراء إحالته الى مجلس النواب :- 🔻
● توزعت اهتمامات البرنامج الحكومي على (139) أولوية ، من ضمن هذه الأولويات وأبرزها الصحة ( الخدمات الصحية والطبية ) .
https://t.me/ml23lap
رئيس مجلس الوزراء علي الزيدي يستقبل رئيس وأعضاء كتلة منتصرون النيابية و من ضمن الموجودين الدكتوره عديلة حمــود رئيس لجنه الصحه النيابية .
https://t.me/ml23lap
🔻 وزير الصحة د.عبد الحسين الموسوي :-
● رواتب الأطباء هذا الشهر ستصبح ٦٠٠ الف ، المشكلة كانت وزير المالية عندة حديث وقال التصويت السابق على مبلغ معين ، لكن انا تدخلت وكلت اله احنا متفقين وبوجود رئيس الوزراء والحقيقة هم لا يستحقون ٦٠٠ ولا مليون بل أكثر
● ف انتهى التصويت بتعديل ثاني وبأثر رجعي لهم .
https://t.me/ml23lap
إذا كانت هنالك نية او تخطيط للاعتصام بيوم المظاهره وعدم الرجوع نرجوا من جميع التنسيقيات نشر خبر الأعتصام بكل التنسيقيات حتى يكون الخريج مجهز ومرتب وضعه وجاهز للاعتصام ...
https://t.me/ml23lap
🔻الامانة العامة لمجلس الوزراء بكتاب سابق يجيب على وزارة المالية بخصوص تعيين المشمولين بقانون 6 :-
● إن قانون التدرّج الطبي اوجب تعيين ذوي المهن الطبية والصحية ، وهو نص يعادل في القوة القانونية ما يرد في قانون الموازنة العامة.
●المختصر :- قانون التدرج الطبي عندة نفس قوة قانون الموازنة ، يعني لا يحق لوزارة المالية استخدام حجة عدم إدراج التعيينات بالموازنة أو عدم وجود نص فيها لإلغاء أو تعطيل التعيين الملزم لقانون 6، لأ…
قوتكم باتحادكم .. ومستقبلكم يستاهل! 🔥
تكاتف التنسيقيات والعمل بروح واحدة يثبت إنكم بالمسار الصحيح. تجربة الخريجين القدامى (150 ألف) خير دليل: لما تكون الإيد وحدة، الهدف يتحقق.
شنو المطلوب حالياً؟
نزول الكل وتواجدهم بالتظاهرات والاعتصام القادم. الأعداد الكبيرة هي اللي تفرض كلمتها وتاخذ الحق .
فكر بينك وبين نفسك: كل السنين والتعب بالدراسة حتى توصل للتعين مو حتى تكعد وتشوف غيرك أقل منك يتعين وانت لا .. فلا تتراجع عن …
● وزير الصحه يعترف بوجود نقص بالكوادر الطبية والصحية
🔻وزير الصحة د.عبد الحسين الموسوي من داخل مختبر مستشفى الإسكندرية في بابل :-
● نعلم بوجود لود على الكوادر وزخم كبير وان شاء الله نحاول تقليل هذا اللود والزخم !
○ مظاهره لجميع الدفع يوم 16 مهمة ومفصلية وبفترة أعداد الموازنة واجب على كل خريج المشاركة والدعم ، ممكن تكون أهم خطوة تخطوها هذه ، وما يحتاج واحد يفهمكم أكثر لان تعرفون الوضع ومستقبلكم واكف من تخرجتوا للآن وما…
● تعلن مديرية التطوع عن فتح باب التقديم للدورة التأهيلية (32) المعهد العالي للتطوير الأمني والإداري
● من حملة شهادة البكالوريوس فقط و من خريجي العام الدراسي (2024- 2025) (2025- 2026) للتخصصات :-🔻
● الطب العام • الصيدلة• طب الأسنان• التمريض• تقنيات صحية – قسم التأهيل الطبي والعلاج الطبيعي• صحة المجتمع• -هندسة مدني هندسة المساحة ،• هندسة طرق وجسور والنقل ،•هندسة كهروميكانيك – فرع نظم الطائرات بدون طيار ، •كلية الهندسة …
🔻رئيس لجنة الصحة د.عديلــة حمــود:-
● تنتظر لجنة الصحة تحديد موعد للقاء رئيس مجلس الوزراء بحضور أعضائها و وزير الصحة
● لمناقشة وحسم ملف تعيين المتبقين من خريجي المهن الطبية والصحية لعام 2023 والسنوات اللاحقة، فضلاً عن مناقشة تعديل قانون التدرج الطبي والصحي .
https://t.me/ml23lap
❤33💔8🙏6🔥3😢1
Signed MB.Al-Eissa
Showing the 12 most recent of 26 posts we hold for @ml23lap. 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“المجموعة الطبية” (@ml23lap), 5,616 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ml23lap.
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.