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 10 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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
33 measurements spanning 51 days, net +450. 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 28,832–29,417 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
27 Sept 2026, 09:55
29,349
+67
17 Sept 2026, 12:41
29,282
+7
15 Sept 2026, 12:00
29,275
+10
13 Sept 2026, 18:15
29,265
+11
11 Sept 2026, 21:42
29,254
+8
6 Sept 2026, 05:36
29,246
+13
4 Sept 2026, 02:16
29,233
+13
2 Sept 2026, 19:36
29,220
-2
1 Sept 2026, 21:23
29,222
+5
31 Aug 2026, 19:36
29,217
+12
30 Aug 2026, 16:26
29,205
+2
29 Aug 2026, 15:34
29,203
+7
28 Aug 2026, 17:08
29,196
+6
27 Aug 2026, 18:48
29,190
+2
26 Aug 2026, 15:11
29,188
+2
25 Aug 2026, 15:27
29,186
+4
24 Aug 2026, 16:25
29,182
+18
23 Aug 2026, 02:37
29,164
+68
21 Aug 2026, 13:04
29,096
+7
20 Aug 2026, 15:14
29,089
first reading
Engagement
113 posts held, back to 3 August 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 77 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.84%
avg views ÷ 29,349 subscribers
Avg views / post
2,300
46 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
46
of 113 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 28 September 2026
Posts held
113 (3 August 2026 – 28 September 2026)
Views total
105,896
Reactions total
1,543
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 22:12 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
≈3,870
Videos
≈77
Links
≈499
Lifetime counters from Telegram’s own channel header, read 28 September 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.
Video runtime
1m 01s
Average length
31s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
3,336 reactions across 112 posts, in 9 distinct kinds. The most used accounts for 87.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,901
87.0%
😁
268
8.03%
😢
71
2.13%
😭
47
1.41%
💊
25
0.749%
🙏
10
0.3%
🔥
8
0.24%
🎉
3
0.09%
🥰
3
0.09%
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 113 of the 113 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 3,336 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 113 most recent posts we hold, published 3 August 2026 to 28 September 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.
احنه نعرف خلال الحمل اامن علاج لمعالجة الامساك هي ادوية Bulk forming laxatives وطبعا هي امنة لان عبارة عن الياف طبيعية مالها اي اذية وبذلك تعبر امنة جدا وتشمل
🔸Psyllium
🔸Methyl-cellulose
🔸Baran
🔸Ispaghula
هذني ميصيرلهم امتصاص وينضمون حركة الامعاء وجدا امنين
زين بس ذني؟
لا عدنة مجموعة ثانية ايضا امنة Osmotic laxative واشهرهم
🔸Lactulose
🔸Macrogol
موجودين بالصيدليات اشهر شي عليهم هو الموڤيكول والدوفيلاك
بس ذني لو بعد …
اليوم شفت جريمه صراحه
ان كانت من دخيل فهي جريمه
وان كان كانت من صيدلاني فهي جريمه اكبر
صارفين كيترولاك ابره بمكان ديكادرون لحامل بشهر التاسع
عمي انتبهو لوصفات الحوامل شنو الموضوع الكلام مو موجه للصرف فقط الكلام موجة لكل واحد متابع القناة
خلو الله بين عيونكم ولا تصرفون شي ما متاكدين منه واتاكدو الف مره
The shares total 102%, 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.
♦️كتابنا للادويه بالحمل والرضاعه
Flashcards summary of drugs during pregnancy and lactation 2026 👏
من افضل المراجع الطبيه الحديثه عن الحمل والرضاعه 😍👏♥️
انتشار طرق غير صحية وغير مرخصة من وزارة الصحة اطلاقا لبيع البروتين والكرياتين والگهوة والشاي تحت ترند النحافة واحد
يريد يسويك جون سينا واحد يريد يسويج باربي وانت مصدك😁
🔬 هل نحن أمام دواء قوي جديد لخفض HbA1c؟
أعلنت Roche نتائج Phase II لدواء Enicepatide (CT-388) لدى مرضى السكري النوع الثاني مع زيادة الوزن/السمنة.
عند جرعة 24 mg أسبوعيًا ولمدة 48 أسبوعًا:
🔹 انخفاض HbA1c بمعدل 2.65% من خط أساس 8.1%.
🔹 حوالي 90% وصلوا إلى HbA1c ≤6.5%.
🔹 حوالي 62% وصلوا إلى HbA1c <5.7%.
🔹 فقدان وزن بمتوسط 15.5%.
الدواء عبارة عن dual GLP-1/GIP receptor agonist، وما زال تجريبيًا ولم يحصل على الموافقة …
احد ضحايا المنحفات اليوم!!
مريضة عمرها ٢٨سنة وزنها ٩٥كيلو رايحة لمكان معين تريد تنزل وزن مطيها منحف والمريضة نازل وزنها ١٠كيلوات خلال ٢١يوم،المهم المريضة تشتكي من خفقان،حرارة ألم عظام وللأسف المريضة طلع عدها فرط نشاط الغدة الدرقية ..
اخوان الف مرة نكول لاتستخدمون منحفات مخبوطات تصنيع الشورجة مواد ممنوعة ثايروكسين وسبيوتامين وجرعات عالية من الكافئين وحته ام فيتامين المخدر
إذا جيت عليه وكتبتلك اي نوع من المنحفات اخذ…
🔸اليوم يوم الصيادله العالمي
ممتن لكل دكتور علمني شي من المهنه ولكل ساعه عشتها بين الادويه ... ولكل مريض شاركني لحظه ضعفه وساهمت في علاجه لكل ضحكه شفتها ولكل دمعه حاولت امسحها أو اهون على صاحبها
ممتن لكل شعور خلاني بهلمكان
هو مو فقط ساعات عمل وقضيتهم ولا مجرد علم وقريته ..
ما متندم ابد ولا لحظه لاني دخلت هذا المجال
لانه ماكو احد يندم من ياخذ طريق إلى الجنه (ولما يسأل عن شبابه فيما افناه ... يقول أفنيته في الدراسه …
♦️ننطيكم معلومه حلوه علاجات الدهون الكولسترول والدهون الثلاثيه مثل atorvastatin و rousvastatin ممنوعه نهائيا بالحمل وتسبب تشوهات واي حامل لازم تتركهن
لعد دكتور شنو الحل ؟ الحل بسيط علاجين افضل شي
اما اوميكا ثري الي ينزل الدهون الثلاثيه triglyceride
او علاج اسمه cholysteramine هذا يجي على شكل فوار هم يفيد بعلاج الدهون بالحمل ويعتبر امن جدا لان ما يمتص
بس كل زين لازم تلكه يي شويه لوله ال cholysteramine يتداخل مع ا…
الصَيدلانيُ الناجح .. هوَ طبيب الفقراء في البلاد العربية
لا يَستطيع أحدٌ إنكار أنّ الصيدلة هيَّ العامود الأساسي الذي ترتكز عليه جميع الفروع الطبية ، و يَزيدُ حِملُ هذا الفرع في بلادنا..
مَن لا يمتلك ثمن معاينة طبيب.. لطالما كان وصف الصيدلي لهُ ولأعراضه مثالياً ...
من لا يمتلك ثمن دخول المشفى لأخذ إبرة ، واستطاع الصيدلي اعطاء ذلك ..
بعيداً عن اعطاء الدواء المذكور ، والإبر والكثير مما يقومه الصيدلي هُنا..…
❤38
Signed Mageed Hamid
Showing the 12 most recent of 113 posts we hold for @pharmaceion. 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.
Posts edited after publishing
@pharmaceion edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
24 September 2026
Most recent edit
24 September 2026
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.
The shares total 102%, 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 113 most recent posts we hold, published 3 August 2026 to 28 September 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Pharmacist Guide @pharmacistG · 27,273 Telegram ranks this channel #11 of 76 here — alongside 75 others — read 11 September 2026
حكيم hakim 💊 @hakim2398 · 49,884 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 25 August 2026
Vitamin's @Vit3mins · 21,382 Telegram ranks this channel #23 of 84 here — alongside 83 others — read 23 September 2026
Pharmacy 87 💊 @pharmacy87 · 73,361 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 19 August 2026
The Injectable Drug @Drug_injectable · 22,238 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 21 September 2026
Doctors & pharmacists @Doctors_pharm_Med · 32,498 Telegram ranks this channel #33 of 83 here — alongside 82 others — read 5 September 2026
Dermatology in Iraq @saadm1999 · 26,019 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 13 September 2026
اعلانات الفيلد الدوائي @pharmacy906 · 22,044 Telegram ranks this channel #41 of 77 here — alongside 76 others — read 22 September 2026
مهند فارما 💊💉 @muhanad_pharma · 63,186 Telegram ranks this channel #43 of 91 here — alongside 90 others — read 21 August 2026
وصــــــRXــــفات @wasffati99 · 31,724 Telegram ranks this channel #44 of 84 here — alongside 83 others — read 6 September 2026
𝐂𝐎𝐒𝐌𝐄𝐓𝐈𝐂𝐒 @phfatima_5 · 34,051 Telegram ranks this channel #45 of 88 here — alongside 87 others — read 3 September 2026
Farmakon @Farma1kon · 42,333 Telegram ranks this channel #45 of 90 here — alongside 89 others — read 29 August 2026
كيسات @Caseblu · 23,292 Telegram ranks this channel #47 of 87 here — alongside 86 others — read 19 September 2026
أ. د. محمد داخل الركابي @mdmalkfeel · 22,883 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 19 September 2026
Pharmacy World @pharmacy_world · 95,092 Telegram ranks this channel #53 of 88 here — alongside 87 others — read 16 August 2026
حسين سريرية || Hussein Clinical @clinicalhussein · 26,992 Telegram ranks this channel #61 of 86 here — alongside 85 others — read 11 September 2026
Doctor Hypo @doctorhypo · 97,115 Telegram ranks this channel #61 of 86 here — alongside 85 others — read 20 August 2026
PharmacyDrug @pharmacy_drug2 · 62,174 Telegram ranks this channel #72 of 85 here — alongside 84 others — read 22 August 2026
This channel appears in 18 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Pharmacion 💊” (@pharmaceion), 29,349 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/pharmaceion.
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.