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 76% 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
60 measurements spanning 98 days, net -106. 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 13,960–14,107 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
13 Nov 2026, 05:11
13,983
+4
10 Nov 2026, 21:20
13,979
-4
9 Nov 2026, 10:47
13,983
-3
7 Nov 2026, 23:20
13,986
+1
7 Nov 2026, 00:17
13,985
-1
6 Nov 2026, 00:05
13,986
-2
4 Nov 2026, 21:30
13,988
+1
3 Nov 2026, 17:51
13,987
-3
2 Nov 2026, 20:38
13,990
-2
1 Nov 2026, 23:26
13,992
-6
31 Oct 2026, 20:48
13,998
-2
30 Oct 2026, 21:20
14,000
-2
29 Oct 2026, 22:30
14,002
-3
28 Oct 2026, 20:09
14,005
+2
27 Oct 2026, 18:08
14,003
+1
26 Oct 2026, 14:46
14,002
+1
25 Oct 2026, 15:38
14,001
+8
24 Oct 2026, 15:10
13,993
+5
23 Oct 2026, 12:30
13,988
+10
22 Oct 2026, 13:50
13,978
first reading
Engagement
48 posts held, back to 10 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.0%
avg views ÷ 13,983 subscribers
Avg views / post
1,960
13 posts measured
Reaction rate
1.85%
reactions ÷ views · ER floor
Posts in window
13
of 48 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 11 November 2026
Posts held
48 (10 July 2026 – 11 November 2026)
Views total
25,496
Reactions total
471
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 08:04 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
451
Videos
180
Links
423
Lifetime counters from Telegram’s own channel header, read 13 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.
Video runtime
3m 56s
Average length
39s
Measured directly from 6 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
1,464 reactions across 48 posts, in 23 distinct kinds. The most used accounts for 62.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
921
62.9%
🔥
185
12.6%
😁
172
11.7%
🥰
49
3.35%
👏
29
1.98%
👍
24
1.64%
💔
18
1.23%
🤔
17
1.16%
😍
7
0.478%
⚡
5
0.342%
🤩
5
0.342%
🤯
5
0.342%
😎
4
0.273%
😱
4
0.273%
❤🔥
3
0.205%
👌
3
0.205%
🕊
3
0.205%
🤷♀
3
0.205%
🍾
2
0.137%
😢
2
0.137%
3 further kinds
3
0.205%
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 48 of the 48 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 1,464 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 10 July 2026 to 11 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: 0 of 13 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).
سؤال وطني هام جدا 🔥
أحد أهم أسباب ارتفاع الصفيحات الارتكاسي هو فقر الدم بنقص الحديد.
Iron deficiency anemia is one of the most important causes of reactive thrombocytosis.
هالمريض مثلا:
HGB: 7….MCV: 68…. PLT: 700.000
#سوالف_مقيمين #داخلية #وطني
مريض 50 سنة، مشخص لديه تشمع كبد cirrhosis بسبب MASH راجع بشكاية كبر حجم بطن. وجد لديه حبن حديث التشكل.
العلامات الحيوية طبيعية، الكرياتينين 1.1 … Protein/cr 1.6 mg/g (اقل من 150 يعني طبيعية)
القصة المرضية: HTN, DM, ارتفاع شحوم، تشمع كبد
القصة الدوائية: Merformin, Lisinopril, Atorvastatin
تم تحديد وارد الصوديوم، ماهو الإجراء الأنسب حاليا؟
A) Atorvastatin إيقاف
B)Lisinopril إيقاف
C) Lactulose البدء ب
D) البدء بحمية …
هاد مريض شفته من كم يوم كاستشارة لأن خضابه 7.8 وقبل أسبوعين كان 11.7….. عمره 70 سنة AF ياخد وارفارين …. سألته على مظاهر النزف بكل أشكالها وبكل الطرق قلي مافي …. بالفحص مالقيت أي شي لبين ما جيت أعمل PR مس شرجي … شفت منطقة الإلية عليها كدمة ومتورمة مقارنة بالطرف الآخر… سألتها إذا واقع أو أكل ضربة؟ قلي لا بس من أسبوع أخدت إبرة دكلون!
التفسير: ورم دموي (Hematoma) ضمن العضلة.
صورة الطبقي CT لمريض آخر حبيت تشوفوها.
#سوال…
من كم يوم شفت تقرير ع تلفزيون سوريا عن زيادة عدد الحالات المسجلة بفيروس HIV حابب نوه على كذا نقطة:
* أغلب الحالات المكتشفة هنن مرضى وجد عندهن الفيروس فقط وليسوا مصابين بالإيدز لان الإيدز هو المتلازمة الي تصير بالمراحل المتقدمة بعد سنوات من وجود الفيروس بالجسم بدون علاج.
*المريضات الي الموجودات السريرية والمخبرية تتماشى مع الإيدز بس تقول يا الله شكلها ست بيت عادية من وين رح يجيها؟ هون أنا جاي قلك اطلب فحص ال HIV لان…
ملاحظات عملية تعقيبا على البوست السابق:
* بشكل تقريبي لكل + يعني في فرط حمل "تقريبا تقريبا" ٤ ليتر … يعني إذا +٣ يعني تقريبا ١٠-١٢ ليتر.
* "بالظروف المثالية" نقيس وزن المريض عند القبول ونبدي بالمدرات وهدفنا يكون الصادر اكتر من الوارد (مراقبة الصادر والوارد هون إجبارية والأخصائي ببهدلك إذا ماعرفت — وحقه على فكرة)… وزن المريض بينزل بشكل رهيب بعد طرح السوائل يعني يجيك بوزن ٨٠ يطلع ب ٦٥ كغ.
* تأكد من الخماسي الرائع الي…
إذا شفت عند مريضك وذمات انطباعية pretibial edema +\+ …. بشكل عام وعمليا تقريبا كم لتر عنده فرط حمل overload ?
#سوالف_أخصائيين #سوالف_مقيمين #داخلية #سنة_سادسة #قلبية
📖 للاطلاع على البرنامج العلمي للمسارات التعليمية والورشات العملية تجدونها هنا:
•https://semi2025-my.sharepoint.com/:b:/g/personal/info_semi2025_org/IQAmiIh56nAWT7_QQyu3ZsQTAf0DAOvn3FG-c4yRmfQnVCg باللغة الإنجليزية
•https://semi2025-my.sharepoint.com/:b:/g/personal/info_semi2025_org/IQCJa9uXX1V5RZ4Uk6m4yVl0AZI5oQewbkuV5rEqfLpG-Ck
https://www.instagram.com/p/DdytdrkjsPZ/?img_index=8&xtok=N2YyMndtZzJxMGJk باللغة العربي…
✨ طب الطوارئ ليس مضماراً للبطولات الفردية، بل هو حكمة ومعرفة، وإدراكٌ متين لكيفية تدبير المريض بأمان دون إحداث مشكلة أكبر، وتسليم المهمة بروح الفريق لمن هم أكثر خبرة عند الحاجة..
تسرّ مبادرة طب الطوارئ السورية (SEMI) بالتعاون مع وزارة الصحة و نقابة أطباء سورية دعوة الكوادر الطبية لحضور:
🟢 المؤتمر السوري الثاني في طب الطوارئ والعناية الحرجة 🟢
(من المستجدات إلى بناء المستقبل)
تحت إدارة:
أ.د.…
تستعمل العظام كرموز في الكثير من الأحيان (قراصنة، مخلفات خطرة، ممنوع الاقتراب، طعام كلاب، وحتى رفيقك النحيف) …. لذلك مجرد ما شفت كلمة رموززز أتذكر عظام
روموسوزوماب …. رموس ….. رموز متعلقة بالعظام … أو "رموز العظمة" كما يقال في الأدب والتاريخ.
يستعمل الروموسوزماب Romosozumab في علاج هشاشة العظام Osteoporosis
#سوالف_مقيمين #سوالف_أخصائيين #داخلية
❤55🔥25😱3
Signed Maher Ali Hussein
Showing the 12 most recent of 48 posts we hold for @Macropage. 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.
يستخدم ال Romosozumab في علاج:
(رح يمر معك مستقبلا بالامتحانات وبالممارسة وتتذكرني)
CML26%
Multiple Myeloma27%
SLE28%
Osteoporosis30%
The shares total 111%, 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 48 most recent posts we hold, published 10 July 2026 to 11 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.
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 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.
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.
Medicine heroes || ابطال الطب @medicine_heroes · 34,552 Telegram ranks this channel #18 of 88 here — alongside 87 others — read 2 September 2026
MedBoss @MedBOSS_Team · 24,972 Telegram ranks this channel #36 of 86 here — alongside 85 others — read 18 September 2026
"𝑺𝒖𝒄𝒄𝒆𝒔𝒔 𝑺𝒐𝒖𝒏𝒅" ➺ 𝐃𝐫. 𝐒𝐚𝐦𝐞𝐫 𝐀𝐠𝐡𝐚 @Voice_Recordings_Samer_Agha · 23,892 Telegram ranks this channel #61 of 86 here — alongside 85 others — read 26 September 2026
سماعة حكيم الإعلامية @sma3ah · 58,561 Telegram ranks this channel #61 of 77 here — alongside 76 others — read 22 August 2026
Syrian Youth Assembly - SYA @syryouth · 83,778 Telegram ranks this channel #63 of 70 here — alongside 69 others — read 22 August 2026
الاختصاص في سوريا 🩺 @Specialization_Syria · 23,732 Telegram ranks this channel #72 of 89 here — alongside 88 others — read 18 September 2026
ملفات الماني للدكتوره لين @german90gooo · 30,896 Telegram ranks this channel #73 of 84 here — alongside 83 others — read 6 September 2026
عدسة طالب طب @lenstaleb · 57,480 Telegram ranks this channel #82 of 83 here — alongside 82 others — read 22 August 2026
Road to Germany - الطريق إلى ألمانيا للأطباء @GermanyRoad · 29,483 Telegram ranks this channel #85 of 93 here — alongside 92 others — read 8 September 2026
This channel appears in 9 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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“Macro Page” (@Macropage), 13,983 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/Macropage.
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.