8 measurements spanning 7 days, net +197. 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 49,399–49,658 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 03:57
49,628
+17
12 Aug 2026, 02:13
49,611
+2
11 Aug 2026, 00:28
49,609
+100
9 Aug 2026, 23:36
49,509
+16
8 Aug 2026, 23:03
49,493
+17
8 Aug 2026, 01:24
49,476
+47
6 Aug 2026, 23:50
49,429
-2
6 Aug 2026, 02:03
49,431
first reading
Engagement
21 posts held, back to 16 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.6%
avg views ÷ 49,628 subscribers
Avg views / post
5,240
21 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
21
of 21 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 12 August 2026
Posts held
21 (16 July 2026 – 12 August 2026)
Views total
110,135
Reactions total
1,516
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 19:47 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
1,516 reactions across 21 posts, in 16 distinct kinds. The most used accounts for 85.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,302
85.9%
👍
63
4.16%
💊
45
2.97%
❤🔥
30
1.98%
💯
26
1.72%
👏
17
1.12%
🔥
17
1.12%
💘
4
0.264%
⚡
3
0.198%
✍
3
0.198%
🎉
1
0.066%
🏆
1
0.066%
👌
1
0.066%
💔
1
0.066%
🤝
1
0.066%
🥰
1
0.066%
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 21 of the 21 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 1,516reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 16 July 2026 to 12 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 21 we hold a reading for · 5%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hakim2398. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 21 most recent posts we hold for this entry, published 16 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
ليش كصيدلاني افضل استخدام علاج ديسلوراتدين
🔸Desloratadine
لحالات الحساسية على علاج لوراتدين Loratadine لسببين اساسيين
🔸اولا علاج Desloratadine مفضل عندي بالمرضى كبار السن والاطفال لان العلاج نشط وفعال بحد ذاته على العكس تماما من Loratadine يحتاج تنشيط وايض كبدي يله يتفعل وكلنه نعرف انزيمات الكبد لدى كبار السن والاطفال ليس بنفس ورفرة الانزيم بمراحل البلوغ والمراهقة هاي النقطة الاولى
🔸ثانيا من ناحية Potency قوة العل…
عزيزي الصيدلاني المختص خلي اشرحلك كلشي
الدواء حتى يشتغل لازم يذوب داخل المعدة أو الأمعاء حتى يدخل إلى الدم ADME .
بعض الأدوية مثل Valsartan عندها ذوبانية ضعيفة، لذلك الجسم ما يستفيد منها بشكل كامل إلا إذا أخذنا جرع جبيرة مثل 80 أو 160 أو 320 mg.
هذا يفسر ليش جرع الـ Valsartan العادي عالية بالارقام فوك .
العلماء واجهوا مشكلة أن هواية من الأدوية ضعيفة الذوبان،
فابتكروا تقنية اسمها Solid Dispersion.
وركزلي هنا
هذه…
💊❤️ سؤال للصيادلة…
إذا الـ Valsartan موجود بجرع
40، 80، 160، 320 mg،
ليش بالـ Entresto
اللي هو علاج heart failure
صارت الجرعات
24/26، 49/51، 97/103 mg ???
شنو سبب هاي الأرقام الغريبة؟
وليش مو 80 أو 160 أو 320
مثل valsartan الاعتيادي؟
@batpharm
@batbiotic
ثلاث ملاحظات مهمة تحفظوها مثل اسمكم ويه علاج
☑️Fluoxetine (Prozac)
من تصرفوا بوصفة طبية 📝
🔸اولا هو الوحيد من مجموعة SSRIs ميسوي زيادة بالوزن بل على العكس من ذلك ممكن يقلل الوزن لان يسوي فقدان للشهية….
🔸ثانيا ماله تاثير منوم او sedative effect للمريض لذلك بعض الاحيان نشوف الطبيب يكتبه مرة صباحا هالشي صحيح وماكو اي مشكلة بي لان مينوم…
🔸ثالثاً واخيرا وهاي ملاحظة مهمة امن لمرضى الاكتئاب بسن المراهقة وكلش فعال الهم وم…
ادوية وريدية متوافقة مع بعض ممكن اعطائها بشكل وريدي لو كانت هناك حاجة لاعطائها
🔸Tramadol +
Metoclopramide
متوافقة مع بعض ضمن admixture واحد يعني ممكن ننطيهم اثنيهم مع بعض ضمن محلول Normal saline واحد وبوقت واحد وموجودة دراسة تثبت امان وفعالية المكس مع بعض
🔸Paracetamol +
Ketorolac
متوافقة مع بعض ب syringe واحد ممكن اعطائهم مع بعض بسرنجة وحدة التراكيز التي استخدمت بالدراسة عالية عملياً ممكن استخدام mixture وريديا بالت…
سامعين بعشبة الناردين او Valerian اخذناها بالعلاجات ضمن الادوية المنومة وبصراحة مشفتها من تخرجت بس بالجديد هواية مشتقات نازلة عنها بالسوق الدوائي هي عبارة عن عشبة طبية تستخدم منذ قديم الزمان لتقليل التوتر والمساعدة في معالجة الارق وتحسين الدخول للنوم تدعم الاسترخاء والدخول للنوم المريح مشتقة من جذور نبات الناردين
🔸Valerian root
✅ تساعد على الاسترخاء وتهدئة الأعصاب.
✅ قد تساهم في تحسين جودة النوم.
✅ تساعد على تقليل ال…
♦️افضل علاجات للشقيقه بالحمل
طبعا هو البراسيتول امن علاج يعتبر
🔸Paracetamol
واكيد احنه اكو علاجات غير دوائيه مثل المساج او acupuncture الي هي العلاج بالوخز ونتجنب الشغلات الي تزوده سواء الاكلات او العلاجات او غيرهه
اذا مفاد البراسيتول شنو نستخدم ؟
نستخدم NSAIDS? اي نعم مثل
🔸Ibuprofen
🔸Naproxen
طبعا يستخدم بحذر بالثلث الاول والثاني من الحمل ونتجنبهن بالثلث الثالث من الحمل تستخدم باقل جرعة ممكنة ولاقصر فترة ممكنة…
هواي تجينا بالصيدلية او بالمستشفى حالات قيء او غثيان والمريض يحتاج علاج قبل متصرفون اي علاج غثيان اتاكدون من المريض شنو عنده امراض مزمنة او العلاجات الي يستخدمها ابسط شيء عدكم مرضى باركنسون او الشلل الرعاشي parkinson يستخدمون علاج
🔹Levo-dopa
علاج Levo-dopa يعالج نقص الدوبامين الي يصير بهاي الحالة عد مرضى باركنسون ويساعد المريض يرجع مستوى الدوبامين بالمستوى الطبيعي ويتحرك بسهولة ويقلل التشنجات او الحركات الغير ارادية…
بالطوارئ نحب الادوية الي تكون متوافقة سوه لان عدكم علم احنه بالطوارئ اغلب الحالات الي تجينه طارئة وتحتاج الى علاج وريدي سريع ومنقذ للحياة
من ضمن الادوية الوريدية الموجودة بالطوائ هو
🔸Heparin
الهيبارين ممكن اعطاءه بشكل وريدي بالحالات الطارئة وممكن اعطاءه تحت الجلد اذا كانت الحالة مو كلش طارئة
احنه يهمنة بالحالات الطارئة الشيء المميز انو الهيبارين متوافق مع عدة ادوية وريدية ومنها ضمنها واشهرها
🔸Paracetamol
🔸Dexameth…
من بين كل ادوية tetracycline اكثر واحد نشوفة مفيد للحالات الجلدية هو
🔸Doxycycline
يي نعم Doxycycline اكثر واحد من مجموعة tetracycline مفيد بالحالات الجلدية بالاضافة لتاثيرة كمضاد حيوي عنده تاثير مضاد للالتهاب لذلك بالحالات الي تطلع بيها حبوب مؤلمة تحت الجلد راح يكون كلش فعال عليها راح يقلل الالم الناتج عن الحبوب الالتهابية بحالات حب الشباب…
بس هيج ⁉️🤷♂️
لا ايضا لحالات الوردية rosacea راح يكون افضل خيار من هاي المج…
هاي الحالة كلش شائعة بالصيف انتبهوا عليها راح تجيكم حالات عنها تحتاج علاج لان بعض الاحيان يصير اشتباه مابينها وبين الفايرل انفكش HSV هاي الحالة مو فايروسية وانما عدوى بكتيرية يسموها الحصف مو الحصف الي يصير بسبب التعرق والحرارة لا هذاك يتعالج بستيرويد موضعي ومضاد هستامين مثل درمودين كريم اللوراتدين حب اما هذا هنا اسمها الرسمي بالعربي الحصف او (القوباء)
🔸Impetigo
عبارة عن عدوى بكتيرية تسببها بكتريا gram positive اشهر…
❤79💊4💯4🔥2⚡1
Signed دكتور حكيم
Showing the 12 most recent of 21 posts we hold for @hakim2398. 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.
Citation-graph rank
Citation-graph rank — 61,050 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Mentions
Named by 3 registered channels — 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“حكيم hakim 💊” (@hakim2398), 49,628 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/hakim2398.
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.
