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Channel

Pharma Ousia

@myphArmacyt

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,758subscribers

-197 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001530655265
TypeChannel
Username@myphArmacyt
Descriptionقناة Pharma Ousia رحلتك لتعلم الصيدلة وفهم الأدوية ببساطة نقدم شرحاً شاملاً للتداخلات الدوائية والمعلومات الصيدلانية 💉 ​📥 للتواصل: @MustafaHussien2
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live5 November 2026
Measurements held22
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/myphArmacyt

Topic

Health & wellness — 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 97% 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.

Growth

6,7586,9556,856.514 August 2026 — 6,955 subscribers15 August 2026 — 6,955 subscribers18 August 2026 — 6,940 subscribers21 August 2026 — 6,935 subscribers24 August 2026 — 6,924 subscribers27 August 2026 — 6,921 subscribers30 August 2026 — 6,913 subscribers2 September 2026 — 6,904 subscribers6 September 2026 — 6,892 subscribers11 September 2026 — 6,887 subscribers15 September 2026 — 6,881 subscribers26 September 2026 — 6,866 subscribers5 October 2026 — 6,836 subscribers11 October 2026 — 6,811 subscribers14 October 2026 — 6,799 subscribers17 October 2026 — 6,793 subscribers21 October 2026 — 6,783 subscribers24 October 2026 — 6,773 subscribers27 October 2026 — 6,782 subscribers30 October 2026 — 6,771 subscribers2 November 2026 — 6,763 subscribers5 November 2026 — 6,758 subscribers14 August 20265 November 2026
22 measurements spanning 83 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 6,728–6,985 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
5 Nov 2026, 09:406,758-5
2 Nov 2026, 14:196,763-8
30 Oct 2026, 10:366,771-11
27 Oct 2026, 09:316,782+9
24 Oct 2026, 00:306,773-10
21 Oct 2026, 00:006,783-10
17 Oct 2026, 18:186,793-6
14 Oct 2026, 18:506,799-12
11 Oct 2026, 13:216,811-25
5 Oct 2026, 01:196,836-30
26 Sept 2026, 00:406,866-15
15 Sept 2026, 01:196,881-6
11 Sept 2026, 04:576,887-5
6 Sept 2026, 07:176,892-12
2 Sept 2026, 10:226,904-9
30 Aug 2026, 01:346,913-8
27 Aug 2026, 07:376,921-3
24 Aug 2026, 13:256,924-11
21 Aug 2026, 06:236,935-5
18 Aug 2026, 16:046,940first reading

Engagement

42 posts held, back to 2 June 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.6%
avg views ÷ 6,758 subscribers
Avg views / post
716
23 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
23
of 42 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
WindowRolling 30 days · latest post in window 6 November 2026
Posts held42 (2 June 2024 – 6 November 2026)
Views total16,457
Reactions total288
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 01:37 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
81
Links
98

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.

Reaction mix

1,213 reactions across 42 posts, in 16 distinct kinds. The most used accounts for 45.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤55745.9%
👍34228.2%
👏1088.90%
⚡453.71%
💯453.71%
💊403.30%
❤‍🔥201.65%
👌151.24%
🔥110.907%
🕊70.577%
🥰70.577%
🫡70.577%
💘30.247%
😢20.165%
🤬20.165%
🤯20.165%

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 42 of the 42 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 1,213 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 2 June 2024 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.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 23 posts held from the last 30 days (17.4%) 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).

6 Nov 2026, 16:00 UTC159 views8 reactionsread 7 November 2026
Photo

ليش بعض الأدوية نلقاها بالـ (mg) والبعض الثاني بالـ (IU)؟ 🤔 ​هواي نشوف أدوية مثل فيتامين D، الإنسولين، أو الهيبارين مكتوب عليها IU مو mg. زين شنو القصة؟ ​بكل بساطة: الـ (mg - المليغرام): هذا ميزان. يعني يقيس وزن المادة الفعالة Active ingredient الـ (IU - الوحدة الدولية): هذا قوة مفعول. يعني ما يهمنا الوزن، المهم هاي الكمية شكد تنطي تأثير وفعالية داخل جسم الإنسان! ​لماذا وُجدت؟ لأن بعض المواد (مثل البروتينات الم…

❤‍🔥2💊2💯2👏1🥰1

5 Nov 2026, 16:00 UTC261 views12 reactionsread 7 November 2026
Photo

​💡 ليش دواء "الأزيثرومايسين" (Azithromycin) عبارة عن 3 جرعات فقط؟ ​هذا السؤال يتردد وغالباً ما يستغرب المريض من قصر مدة العلاج. لكن السر يكمن في الهندسة الدوائية الفريدة لهذا العقار: ​1️⃣ الدخول العميق للأنسجة على عكس المضادات التي تكتفي بالبقاء في الدم، يمتلك الأزيثرومايسين طبيعة محبة للدهون (Lipophilic property)، مما يجعله ينفذ بسرعة لداخل الأنسجة المصابة وبتركيز هائل ​2️⃣ التوصيل المجاني (حصان طروادة) خلايا الم…

❤6👏4🫡2

4 Nov 2026, 16:00 UTC328 views10 reactionsread 7 November 2026

​🧬 لماذا لا يُسبب الجيل الثاني من أدوية الحساسية أي نعاس؟ (السر وراء الـ BBB) ​ ​1️⃣ أدوية الجيل الأول (القديمة مثل Chlorpheniramine) جزيئات محبة للدهون (Lipophilic)، ​بسبب محبتها للدهون، فإنها تخترق الحاجز الدموي الدماغي (الذي يمتلك طبيعة دهنية) بسهولة تامة، ​فتصل إلى الدماغ وترتبط بمستقبِلاته مسببةً النعاس والخمول. ​2️⃣ أدوية الجيل الثاني (الحديثة مثل Loratadine و Cetirizine) ​ تم تعديل بنيتها لتصبح قطبية ومائي…

👍6👏3🥰1

3 Nov 2026, 16:01 UTC381 views9 reactionsread 7 November 2026
Photo

​✨ هل تساءلت يوماً عن دور (Metformin) في رحلة علاج متلازمة المبيض الأيضية متعددة الغدد الصماء PMOS (سابقا متلازمة تكيس المبايض PCOS) وتحسين الخصوبة؟ ​إليك التفاصيل العلمية المختصرة والمفيدة: ​أ. 🩺 يُستخدم أحياناً جنباً إلى جنب مع عقار الكلوميفين (Clomiphene) لدعم وتحفيز الإباضة لدى السيدات المصابات ب PMOS ​ب. 🔬 يعمل كبطل خفي لزيادة حساسية الأنسولين، وخفض مستويات الأنسولين المرتفعة في الدم، مما يؤدي مباشرة إلى تق…

👍6🫡3

2 Nov 2026, 16:01 UTC427 views4 reactionsread 7 November 2026
Photo

✨ كيف غيّر "تلوث مخبري" مسار الطب؟ ​في عام 1928، لاحظ عالم الميكروبيولوجي الإسكتلندي Alexander Fleming اختفاء بكتيريا Staphylococcus من طبق تجربة ترك مكشوفاً قبل إجازته، بعد أن غزاه العفن الفطري (Penicillium notatum)؛ ليستنتج أن العفن يُفرز مادة قاتلة للبكتيريا سمّاها Penicillin. ​🔬 المحطات الأربع الفاصلة: ​🚧 عقبة الإنتاج: رغم عظمة الاكتشاف، عجز فلمنج عن تنقية المادة واستخلاصها كدواء، وكاد الاكتشاف أن يُنسى لعشر سن…

👍2💯2

1 Nov 2026, 16:04 UTC482 views11 reactionsread 7 November 2026
Photo

انت وگاعد بالصيدلية وجاك مراجع لازم صدرة ويكلك عندي الم بصدري كصيدلاني ناجح شلون حتتصرف ويه الموقف هل هاي Angina ام heart burn اكو كم سؤال اخذه من المريض يعتبر. Key point نگدر نميز بين heart burn او Angina ب heart burn ❤️‍🔥 1_حرقة فوق المعده وتصعد للصدر 2_ الحرقه تجي فجأه وتكون مزعجه 3_ تجي بعد ما تاكل وجبات دهنيه دسمه وثقيله ب Angina 1_ تكون حرقة بالصدر مع الم قوي جدا المريض يحس اضلاعه وصدره متحطم من الالم 2_ الا…

❤5👏3🫡2👍1

31 Oct 2026, 18:26 UTC464 views8 reactionsread 7 November 2026

⚡ بدء مفعول الدواء (Onset of Drug Action) 1.​ 💉 (Intravenous - IV): 30 - 60 ثانية 2.​ 🦴 (Intraosseous - IO): 30 - 60 ثانية 3.​ 🫁 (Endotracheal): 2 - 3 دقائق 4.​ 🌬️ (Inhalation): 2 - 3 دقائق 5.​ 👅 (Sublingual): 3 - 5 دقائق 6.​ 💪 (Intramuscular - IM): 10 - 20 دقيقة (وقد يصل إلى 30 دقيقة) 7.​ 💉 (Subcutaneous - SC): 15 - 30 دقيقة 8.​ 💊 (Oral Route): 30 - 90 دقيقة 9.​ 🩹 (Transdermal Patches): يختلف بشكل كبي…

👍5👏3

30 Oct 2026, 17:12 UTC573 views17 reactionsread 7 November 2026

هل تعلم أن المسكن الأكثر أماناً للبشر هو "قاتل صامت" للقطط؟نعم، نعني ال paracetamol ​والسر علمياً يكمن في أن القطط تفتقر تماماً لأنزيم كبدي أساسي (يُعرف بـ Glucuronyl transferase) وهو المسؤول عن تكسير ال paracetamol ومعالجته ​وبمجرد أن يدخل جسمها ولو بجرعة بسيطة جداً: 🔹 يعجز كبدها تماماً عن معالجته. 🔹 يتحول لسم فتاك يمنع الأكسجين ويدمر خلايا الدم. 🔹 يقود إلى فشل كبدي واختناق سريع قد ينهي حياتها خلال ساعات!

❤8👍5👏4

29 Oct 2026, 16:02 UTC665 views11 reactionsread 7 November 2026
Photo

​🚨 خطأ شائع: Ciprofloxacin مع الفوار القلوي (Urinary Alkalinizers)! ​وصف Ciprofloxacin مع فوار قلوي (Urinary Alkalinizer) أو الفصل بينهما بـ 4 ساعات تصرف غير صحيح! ​❌ لماذا لا يجوز الجمع بينهما؟ لأن ذوبان السبروفلوكساسين يتطلب وسطاً حامضياً، وعند إعطاء الفوارات القلوية يصبح وسط ال urine قاعدياً، مما يؤدي إلى عدم ذوبانه وترسبه على شكل بلورات بالكلية (Crystalluria) تسبب انسداداً أو تلفاً كلوياً. ​❌ لماذا لا ينفع الف…

❤5👍4💯2

28 Oct 2026, 14:02 UTC658 views15 reactionsread 7 November 2026

​📌 كيف تفرق بين المصطلحات الثلاثة بثوانٍ؟ ​1️⃣ الـ Clot (تجلط الدم): ​يحدث عند الجرح الخارجي كاستجابة طبيعية. ​تتجمع الصفائح الدموية لتكوين خثرة توقف النزيف. ​2️⃣ الـ Thrombus (الخثار): ​يحدث داخل الأوعية الدموية عند تلف الوعاء أو بطء الدم. ​ميزتها الأساسية: خثرة ثابتة في مكانها. ​3️⃣ الـ Embolism (الانثمام): ​خثرة متحركة (على عكس الـ Thrombus). ​تسير مع مجرى الدم حتى تصل إلى مكان ضيق وتسبّب انسداده (مثل شرايين ال…

👍7❤5👏3

27 Oct 2026, 16:00 UTC755 views20 reactionsread 7 November 2026

​ليش تركيز ال Normal Saline هو 0.9% بالذات؟ هالرقم مو عشوائي أبداً! ​السبب الرئيسي: هذا التركيز (9 غرام ملح لكل لتر ماء) يتطابق تماماً مع تركيز الأملاح والضغط الاسموزي لدم وخلايا جسم الإنسان (Isotonic). ​ شنو يصير لو تغيّر هذا التركيز؟ ​1️⃣ Hypotonic (<0.9%):الماء راح يدخل لداخل خلايا الدم الحمراء بكثرة فتنتفخ وتنفجر 💥 (Hemolysis). 2️⃣ Hypertonic (>0.9%): المحلول راح يسحب الماء من داخل الخلايا فتنكمش وتجف 🥀 (cre…

❤12👍4👏4

26 Oct 2026, 16:04 UTC809 views11 reactionsread 7 November 2026
Forwarded from @clinicalpharmacyM

معلومة فارماكولوجية .. للطُرْفة.. ليست طبية❗️ دواء sildenafil المعروف بـ( فياغرا) يعمل على علاج الـerectile dysfunction عن طريق انه يزود مادة cGMP بالأوعية الدموية من خلال انه يمنع الانزيم الذي يكسر هذه المادة المسمى Phosphodiesterase 5 (PDE-5) حيث ان زيادة هذه المادة تؤدي الى حدوث Vasodilation——> increases blood flow——> maintains erection نباتيا.. الفياغرا تستعمل لزيادة نضارة و عمر الازهار المقطوعة لو تم وضع…

❤9👍2

Signed مصطفى حسين مطر الاوسي

Showing the 12 most recent of 42 posts we hold for @myphArmacyt. 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

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.

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.

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.

Appears in Telegram’s recommendations for other channels

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.

💊 ثقافة صحية طبية 😉(اساسيات طبطوب)
@drtabtob · 63,475
Telegram ranks this channel #10 of 83 here — alongside 82 others — read 21 August 2026
♥️ 𝐌𝐲 𝐩𝐡𝐚𝐫𝐦𝐚𝐜𝐲 ♥
@mypharmacyta · 25,697
Telegram ranks this channel #12 of 83 here — alongside 82 others — read 13 September 2026
📡نيوز بوست الطبية📡
@AlFuture · 82,229
Telegram ranks this channel #16 of 64 here — alongside 63 others — read 31 August 2026
حالات سريرية وأدوية ᴹᵉᵈᶜᵃˢᵉˢ🇵🇸
@MedCase7 · 32,081
Telegram ranks this channel #24 of 86 here — alongside 85 others — read 4 September 2026
👑 مملكة الطب | Kingdom of Medicine 💊
@Systemic7Medicine · 38,619
Telegram ranks this channel #25 of 87 here — alongside 86 others — read 31 August 2026
قناة طبية | د. خالد الغزالي 🥼🩺💊
@khalid_Al_Ghazali · 19,849
Telegram ranks this channel #26 of 91 here — alongside 90 others — read 2 October 2026
معلومات طبية 💊
@Pandora38 · 114,261
Telegram ranks this channel #61 of 74 here — alongside 73 others — read 14 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Pharma Ousia” (@myphArmacyt), 6,758 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/myphArmacyt.

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.