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 7 October 2026 and assigned it the closest of 31 fixed categories, at 99% 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
9 measurements spanning 61 days, net +72. 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 638–732 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 10:22
721
no change
3 Oct 2026, 13:01
721
+16
17 Sept 2026, 21:18
705
+4
10 Sept 2026, 12:35
701
+14
31 Aug 2026, 07:42
687
+10
23 Aug 2026, 08:32
677
+7
15 Aug 2026, 16:28
670
+20
7 Aug 2026, 18:42
650
+1
7 Aug 2026, 14:25
649
first reading
Engagement
20 posts held, back to 2 October 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
18.8%
avg views ÷ 721 subscribers
Avg views / post
135
20 posts measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
20
of 20 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. It is computed over the 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 October 2026
Posts held
20 (2 October 2026 – 4 October 2026)
Views total
2,706
Reactions total
78
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 10:22 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
810
Videos
76
Links
339
Lifetime counters from Telegram’s own channel header, read 7 October 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
78 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 41.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
32
41.0%
👍
26
33.3%
🔥
7
8.97%
🕊
4
5.13%
🥰
3
3.85%
🎉
2
2.56%
👏
2
2.56%
💯
1
1.28%
🤩
1
1.28%
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 19 of the 20 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 October 2026 to 4 October 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.
Sulfonamides:
Short acting
> sulfiSoxazole
MEDIum acting
> sulfaMEthoxazole
>sulfaDIazine
lOng acting
> sulfadOxine
Which of the following is a short-acting sulfonamide?
A) Sulfamethoxazole
B) Sulfadiazine
C) Sulfisoxazole
D) Sulfadoxine
Answer: C) Sulfisoxazole
MCQ 2
Which of the following is a medium-acting sulfonamide?
A) Sulfisoxazole
B) Sulfamethoxazole
C) Sulfadoxine
D) None of the above
Answer: B) Sulfam…
التعاريف كاملة بدون أي أمثلة:
━━━━━━━━━━━━━━
1. Pharmacodynamics — Definitions
Partial agonist:
Substance that binds to a receptor with affinity but produces submaximal response (has affinity and partial efficacy).
Competitive Antagonist:
Antagonist that competes reversibly with the agonist for the same receptor site; can be displaced by increasing agonist concentration (decreases potency, Emax stays the same).
N…
اهم تعاريف dynamic
Pharmacodynamics — Definitions
Pharmacodynamics: What the drug does to the body.
Receptor: Chemosensitive macromolecule that produces a biological response when bound by a ligand.
Ligand: Chemical substance that binds to a receptor.
Affinity: Ability of a drug to bind to a receptor.
Efficacy: Maximum response produced by a drug.
Agonist: Drug with affinity and efficacy.
An…
Kinetics of Elimination
— Easy
🔹 Clearance (CL):
The volume of plasma cleared of a drug per unit time.
CL = Hepatic + Renal + Lung + Other
🔹 First-order:
The rate of elimination is directly proportional to drug concentration.
→ Most drugs.
🔹 Zero-order:
A constant amount of drug is eliminated per unit time.
→ Phenytoin, Ethanol
🔹 Half-life (t½):
The time needed to reduce plasma drug concentration by 50%.
→ t½ …
• المصدر: "Secondary effect: Bad effect consequent to normal therapeutic action of the drug."
• الترجمة: التأثير الثانوي: تأثير سيئ يترتب كتعاقب للتأثير العلاجي الطبيعي للدواء.
33. Toxicity Overdose (السمية الناتجة عن الجرعة الزائدة)
• المصدر: "Toxicity Overdose: Caused by large dose due to excessive effect of the drugs"
• الترجمة: السمية بالجرعة الزائدة: تنتج عن استخدام جرعة كبيرة بسبب التأثير المفرط للأدوية.
3…
• المصدر: "Hypersensitivity (allergic rections) Abnormal response to the drug due to antigen-antibody reactions due to release of histamine, prostaglandins."
• الترجمة: فرط الحساسية (التفاعلات التحسسية): استجابة غير طبيعية للدواء نتيجة تفاعلات بين مولد الضد والأجسام المضادة بسبب إطلاق الهيستامين والبروستاجلاندين.
18. Supersensitivity = drug intolerance (فرط الحساسية المفرطة / عدم تحمل الدواء)
• المصدر: "Supersensi…
1. Receptor (المستقبل)
• المصدر: "Receptor is a chemo-sensitive macromolecule that reacts specifically with a Ligand (drug, hormone) to produce a biological response"
• الترجمة: المستقبل هو جزيء كبير حساس للمواد الكيميائية يتفاعل بشكل خاص مع اللبيطة/المرتبط (دواء، هرمون) لإحداث استجابة بيولوجية.
2. Ligands (اللبيطات / المرتبطات)
• المصدر: "Ligands: chemical substances which can combine with receptors (drug, hormo…
الأمراض التي لها اسماء عديدة ..
يمكن ياتي المرض باسم اخر له.. فلاتتمكن من حله وانت تعرف اجابته..
1- Rickettsia infection.. rocky mount fever..
typhus..
spotted fever..
2-lyme diseases ..
borellia infection..
relapsing fever..
3-pertussis..
whooping coug..
4-brucellusis..
Malta fever..
5-chlostridium difficle infection..
Pseudomembranous colitis..
👍3❤2🔥2🤩1
Signed 𝔻r. 𝔸𝕃ℍ𝔸ℝ𝕆𝕌𝕄𝕀
Showing the 12 most recent of 20 posts we hold for @pharmacology_ALBAYDHA_UNI. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Which drug indicated in case of diabetic gastroparesis?
Lactulose26%
Azithromycin13%
Erythromycin44%
Non18%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 2 October 2026 to 4 October 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.
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.
♥️ 𝐌𝐲 𝐩𝐡𝐚𝐫𝐦𝐚𝐜𝐲 ♥ @mypharmacyta · 25,950 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 13 September 2026
علم الأمراض بالعربي @pathologybalarabi · 23,530 Telegram ranks this channel #3 of 79 here — alongside 78 others — read 18 September 2026
عالم الأدوية 💊 @pharmacology_55 · 23,895 Telegram ranks this channel #3 of 89 here — alongside 88 others — read 17 September 2026
المكتبة البيطرية للدكتور حامد عطيه @vet100 · 26,739 Telegram ranks this channel #45 of 83 here — alongside 82 others — read 12 September 2026
VET's HUB ® @vets_hub · 22,552 Telegram ranks this channel #55 of 82 here — alongside 81 others — read 20 September 2026
قناة بوت الذكاء الاصطناعي @botfbo · 183,157 Telegram ranks this channel #62 of 73 here — alongside 72 others — read 15 August 2026
قناة البوت الطبي 👨🏻⚕️ @Medical_MhM · 85,486 Telegram ranks this channel #65 of 81 here — alongside 80 others — read 5 September 2026
Hi, AI | الذكاء الاصطناعي @hiaiarabic · 19,821 Telegram ranks this channel #67 of 80 here — alongside 79 others — read 29 September 2026
بحوث/سمنارات/تقارير @Seminar2001 · 27,060 Telegram ranks this channel #75 of 81 here — alongside 80 others — read 10 September 2026
Easy Medicine (Osama Ramadan) @Medical_Data_Channel · 49,594 Telegram ranks this channel #76 of 82 here — alongside 81 others — read 26 August 2026
This channel appears in 10 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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“𝗣𝗵𝗮𝗿𝗺𝗮𝗰𝗼𝗹𝗼𝗴𝘆_USF” (@pharmacology_ALBAYDHA_UNI), 721 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/pharmacology_ALBAYDHA_UNI.
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.