🌟 Applied therapeutics I L8: Dyslipidemia 📱 شرح المحاضرة 👈 اضغط هنا 📖 ملف المحاضرة 👈 اضغط هنا 📱 قناة الملفات والملخصات ⬅️ اضغط هنا ⛓ جميع منصات القناة ⬅️ اضغط هنا MA MedX ✍️
❤2❤🔥2🤩2
Signed Mohamed Ali AL-Abood

Channel
@samurai_academy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
7,508subscribers
-68 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001819024716 |
|---|---|
| Type | Channel |
| Username | @samurai_academy |
| Description | عطّـروا أفواهكم بـذِكـرِ مُـحمّد وآل مُـحمّد 🤍 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/samurai_academy |
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 12 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 10:06 | 7,508 | -11 |
| 3 Nov 2026, 06:11 | 7,519 | +2 |
| 31 Oct 2026, 04:18 | 7,517 | -1 |
| 27 Oct 2026, 18:29 | 7,518 | -2 |
| 24 Oct 2026, 17:36 | 7,520 | +4 |
| 22 Oct 2026, 01:16 | 7,516 | -3 |
| 18 Oct 2026, 16:36 | 7,519 | -4 |
| 15 Oct 2026, 14:55 | 7,523 | -18 |
| 12 Oct 2026, 05:56 | 7,541 | -9 |
| 5 Oct 2026, 05:42 | 7,550 | -15 |
| 26 Sept 2026, 15:35 | 7,565 | +32 |
| 17 Sept 2026, 18:18 | 7,533 | +9 |
| 13 Sept 2026, 16:56 | 7,524 | -13 |
| 9 Sept 2026, 19:20 | 7,537 | -19 |
| 1 Sept 2026, 05:05 | 7,556 | +3 |
| 28 Aug 2026, 18:33 | 7,553 | -8 |
| 23 Aug 2026, 10:15 | 7,561 | -3 |
| 20 Aug 2026, 01:06 | 7,564 | -6 |
| 17 Aug 2026, 11:25 | 7,570 | -6 |
| 14 Aug 2026, 08:04 | 7,576 | first reading |
34 posts held, back to 5 May 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 15 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 34 (5 May 2026 – 6 November 2026) |
| Views total | 12,850 |
| Reactions total | 71 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 00:49 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.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
649 reactions across 33 posts, in 13 distinct kinds. The most used accounts for 73.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 474 | 73.0% | |
| 🔥 | 37 | 5.70% | |
| 👏 | 34 | 5.24% | |
| ❤🔥 | 28 | 4.31% | |
| 🙏 | 17 | 2.62% | |
| 👌 | 13 | 2.00% | |
| ⚡ | 9 | 1.39% | |
| 🤝 | 9 | 1.39% | |
| 😍 | 8 | 1.23% | |
| 👍 | 6 | 0.924% | |
| 🤩 | 6 | 0.924% | |
| 🫡 | 6 | 0.924% | |
| 🕊 | 2 | 0.308% |
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 33 of the 34 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 649 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 5 May 2026 to 6 November 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’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🌟 Applied therapeutics I L8: Dyslipidemia 📱 شرح المحاضرة 👈 اضغط هنا 📖 ملف المحاضرة 👈 اضغط هنا 📱 قناة الملفات والملخصات ⬅️ اضغط هنا ⛓ جميع منصات القناة ⬅️ اضغط هنا MA MedX ✍️
❤2❤🔥2🤩2
Signed Mohamed Ali AL-Abood
السلام عليكم اخوان 🌸 1⃣ ابتداءً من اليوم راح ارجع اكمل وياكم مادة Applied Therapeutics I لطلاب المرحلة الخامسة – الكورس الأول، واواصل نشر المحاضرات والشروحات حتى نكمل المادة ان شاء الله. 2⃣ أما بالنسبة للخريجين، فابتداءً من هذا الأسبوع راح ابدي انشر معلومة أو معلومتين مفيدات بالأسبوع، بمواضيع متنوعة ومهمة من الجانب الصيدلاني والسريري، وراح يكون ايضا في بعض المواضيع مجال للنقاش وتبادل الآراء حتى الكل يستفاد ونطور م…
❤11👏5🔥5❤🔥4
Signed Mohamed Ali AL-Abood
🚨 6/11/2026 👀
❤4❤🔥2🔥2👌1
Signed Mohamed Ali AL-Abood
السلام عليكم الزملاء الصيادلة الأعزاء نتمنى منكم التكرم بالمشاركة في استبيان بحثنا العلمي الذي يسلّط الضوء على دور الصيدلي المجتمعي ، الذي يهدف الى تقييم المعرفة العلمية والآراء المهنية المتعلقة باستهلاك الكافيين وتداخلاته مع الأدوية وتقديم المشورة بشأنه في الصيدليات الاهلية علماً أن المشاركة طوعية وستُعامل جميع الإجابات بسرية تامة وتُستخدم لأغراض البحث العلمي فقط. مع خالص التقدير والاحترام 🌷 https://docs.google.co…
❤2👍1
طلاب المرحلة الأولى من جميع التخصصات الطبية، أهلاً وسهلاً بيكم زملاء بالمهنة! ♥️🩺 من أهم المواد اللي تبدون بيها مشواركم الدراسي هي مادة المصطلحات الطبية (Medical Terminology)، لذلك جمعتلكم 6 محاضرات مع ملفاتهن، بشرح كامل ومجاني، حتى أسهّل عليكم فهم المادة من البداية. أتمنى تستفادون منهن وتكون بداية موفقة إلكم بمشواركم الدراسي. ♥️ 📚 المحاضرات والملفات: 📌 المحاضرة الأولى 🎥 شرح المحاضرة: اضغط هنا 📄 ملف المحاضرة: اضغط هن…
❤🔥3❤1
Signed علي ظافر فاضل | Ali dhafer
سلام عليكم دكتور احنا طالبات مرحلة خامسة صيدلة جامعة جابر بن حيان احنا بحثنا عن مدى التزام المرضى من سكنة محافظة النجف حصراً اللي مسوين استئصال للغدة الدرقية بصورة كاملة او جزئية بعلاجهم (Levothyroxine) فياريت لو تنشر الفورما بقنواتك دكتور حتى اذا احد من الطلاب او اقربائهم او اصدقائهم مسوي هذا الاجراء الجراحي يملي الفورما شكراً للكل و عافانا الله و اياكم جميعاً 🤍 https://docs.google.com/forms/d/e/1FAIpQLSck874Zmd1K…
❤4🤝4
Signed 𖤍 أحــمَــد || الـعَـميـدي
📣 توضيح مهم بخصوص شروحات ملازم الجامعات 📚 السلام عليكم طلاب 🌷 وصلتني رسائل منكم بخصوص شرح ملازم كلياتهم للمواد اللي سبق وشرحتها أو الي بعدني مشارحها، فحبيت ابينلكم بعض التفاصيل حتى تكون الصورة واضحة للجميع.⬇️ 🔹بالنسبة للمواد المشروحة سابقا: اللي يحتاج شرح خاص بملازم جامعته، راح يكون متوفر إله عن طريق كورس باشتراك مادي، لأن الموضوع يحتاج وقت وجهد إضافي حتى يكون الشرح مناسب لمحتوى ملازمكم. ✨ والشي المميز هنا: إن ا…
❤6👌1👏1
Signed Mohamed Ali AL-Abood
📱 🌟قائمة الشروحات الكورس الأول لجميع المراحل: 1⃣ قناة MA MedX 🔹 المرحلة الرابعة 1️⃣ Clinical Pharmacy 🔹 المرحلة الخامسة 1️⃣ Applied Therapeutics I 2️⃣ Graduation Project 2⃣ قناة Samurai Academy 🔹 المرحلة الأولى 1️⃣ Principle of Pharmacy 2️⃣ Biology 3️⃣ Analytical Chemistry 4️⃣ Medical Terminology 🔹 المرحلة الثانية 1️⃣ Physiology 🔹 المرحلة الرابعة 1️⃣ Pharmacology II MA MedX ✍️
❤6👌1👏1
Signed Mohamed Ali AL-Abood
محاضرة بحث التخرج نزلت Enjoy 🎓 Ma Medx ✍️
🔥6❤2😍2
Signed Mohamed Ali AL-Abood
https://youtu.be/Ito4Yy7wgm8?si=ccbNnniQAwdSpKbu
🔥6❤4🤝1
Signed Mohamed Ali AL-Abood
🎓 بحث التخرج والرسالة البحثية دائماً أشوف طلاب المرحلة الأخيرة من البكالوريوس والماستر يواجهون صعوبة بموضوع البحث، من اختيار الموضوع إلى البحث عن المصادر والكتابة وغيرها ... ✔️لهذا السبب سويتلكم محاضرة واحدة فقط، راح نركز بيها على جانبين أساسيين تتضمن: 🌐 القسم الأول: المواقع والبحث العلمي, راح نتعلم منها: ⌨️أهم المواقع والمنصات اللي تحتاجها بالبحث. 2️⃣شلون تبحث عن الدراسات والأبحاث المناسبة. 3️⃣شلون تفرز الملفات …
❤15🔥3👏1
Signed Mohamed Ali AL-Abood
📚 باجر راح يبدي الدوام الفعلي للجامعات، بأي مرحلة راح تكون 🤔
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤2❤🔥1
Signed Mohamed Ali AL-Abood
Showing the 12 most recent of 34 posts we hold for @samurai_academy. 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.
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
📚 باجر راح يبدي الدوام الفعلي للجامعات، بأي مرحلة راح تكون 🤔
Shares as published. No per-option vote count is published by Telegram, so none is shown.
سلام عليكم طلابنا الاعزاء مُشتاقون بنسبة للتدريب الصيفي شنو اخباركم بي؟
The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 34 most recent posts we hold, published 5 May 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Samurai Academy” (@samurai_academy), 7,508 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/samurai_academy.
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.