3 measurements spanning 4 days, net +6. 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 2,458–2,466 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 20:58
2,465
+5
11 Aug 2026, 02:34
2,460
+1
10 Aug 2026, 12:30
2,459
first reading
Engagement
16 posts held, back to 21 June 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.1%
avg views ÷ 2,465 subscribers
Avg views / post
618
2 posts measured
Reaction rate
1.13%
reactions ÷ views · ER floor
Posts in window
2
of 16 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 7 August 2026
Posts held
16 (21 June 2026 – 7 August 2026)
Views total
1,235
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 12:30 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.
Reaction mix
96 reactions across 6 posts, in 7 distinct kinds. The most used accounts for 61.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
59
61.5%
👍
26
27.1%
👏
5
5.21%
🔥
2
2.08%
😭
2
2.08%
💔
1
1.04%
🤔
1
1.04%
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 6 of the 16 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 96reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 21 June 2026 to 7 August 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.
بعد غياب طال أمده، وانكفاء في محراب العتمة والصمت، جئت أخط لكم ما تيسر من بقايا روح أنهكها المسير، وما نطق به قلب أثقله التيه وبحث طويلاً عن سبيل للنجاة..
أنا الراكض خلف سراب النجاة وقد أعياني العثو، والمالئ كفي من رماد الأمنيات، لا الأمس أبقى لي بقية من أمل، ولا الغد ألقى في طريقي قبساً ينير الحلك.
أي ثقل هذا الذي أستصحبه في طريقي؟ ثقل أعوام تكسرت على عتباتها الرياح، وأرواح خانت العهد حين اشتدت العاصفة. أطوف في متا…
⭕️ الأحد 26/Jul
اليوم بإذن الله
#جلسة_تدريبية للهستوري
مع الاستاذ #الدكتور فواز عمران
استشاري أول #الجراحة العامة وجراحة المناظير
#Object:
Thyroid History & Physical Examination
-أخذ الهستوري من الدكتور و مناقشة الحالة كاملة
ً#الوقت :9:00 مساءً بتوقيت مكة
#المنصة: Google meet
الحضور متاح للجميع
سيتم نشر الرابط هنا
https://t.me/MBBS_history
••
وداعًا يا سنةً خامسة... ويا سنةً كانت بثقل سنتين!
.
وداعًا يا مستوى خامس.
.
.
المستوى الذي دخلناه طلاب طب... وخرجنا منه مرضى يحتاجون إلى مراجعة جميع التخصصات التي درسناها.
بدأت الحكاية مع الأعصاب...
جراحة وباطنية، حتى أصبحت خلايانا العصبية هي أول من أعلن الإضراب.
ثم جاءت النسائية والتوليد...
المقرر الوحيد الذي كنت أشعر أنه هو الذي يلدنا، لا نحن من ندرسه.
كل محاضرة كانت كفيلة بأن تجعل الطالب يولد من جديد... لكن…
••
- "طالبة طب تتعرض لذبحة صدرية داخل قاعة الاختبار"، و"طالب طب ينتحر بعد أن أتمَّ دراسته"، و"طالب طب يتخرج وهو يعاني حالةً نفسيةً"، و"طالب طب يتعرض لإغماء أثناء الاختبار"، و"طالب طب يتخرج وقد أصبح على حافة الانهيار النفسي"...
كل هذه الأخبار نسمعها يوميًّا وبكثرة، خاصةً بين طلاب الطب. وللأسف، لقد رأيت مثل هذه الحالات عدة مرات، وهذا ما دفعني إلى الكتابة عن هذا الموضوع بحرقة.
لذلك، فإن كلامي لن يتغير:
الضغط الذي ن…
Q1
A_ pathologic condition
B_define
Q2
A_cellular adiptation
Q3
A_cellular change
B_mention one example
Q4
A_cellular change
B_reversible or irreversible
Q5
A_Type celk death
B_give one character support the feutures
Q6
A_Type of necrisis
B_Where are common seen
Q7
A_Type of necrosis
Q8
A_Mention the diagnosis
B_Mention associated disease
Q9
A_pathological condition
B_ two contant
Q10
A_Diagnosis
Q11
A_Nam…
Mechnism capillary premeplity
Defin Dyplsia anplasia neoplsia
Causes of cancer
Causes inflammation
Stage of phagocytosis
Rout spread malignant tumor
Pathogenesis of fatty chinge
Causes of granulumatous inflammation
Character of bengin tumor
Defin calcification and types
Clacifiction of amyliodosis
Exogenous and endogenous pigement
Stage and grade in cance
نوع المحتوى: #نماذج
اسم المادة: #pathology
عام…
اختبار Metabolism
الدفعه السادسة طب بشري جامعة جينيس
د.عبداللطيف السنباني
1-it is common diet liped
A-triglyceride
B-fat acid
C-cholestrol
2-inhibits fat oxidation (β-oxidation) is
A-Insulin.
B-glucagon
C-acetyl CoA
D-aceyl coA
3-Where does protein digestion mainly occur?*
A) Mouth and intestine
B) Intestine
C) Intestine and stomach
4-Where does fat digestion mainly occur?
A) Mouth
B) Intestine
C) Mouth and…
نوع المحتوى: #نماذج
اسم المادة: #practical_microbiology
عام النشر: #عام_2026_1447
مدرس المادة #د_ندى_زياد
امتحان اليوم
ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ
[واللهُ يُحِبُ المُحّسِنين]✨
{لاتنسونا من الدعاء}
......💠🌐💠.....
#اللجنة_العلمية
#الملتقى_الطلابي
#جامــــعــة_جينيس
طب بشري الدفعة السادسة
نوع المحتوى: #نماذج
اسم المادة: #Computer_Skills
عام النشر: #عام_2026_1447
مدرس المادة #د_رفيدة_الخطري
ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ
[واللهُ يُحِبُ المُحّسِنين]✨
{لاتنسونا من الدعاء}
......💠🌐💠.....
#اللجنة_العلمية
#الملتقى_الطلابي
#جامــــعــة_جينيس
طب بشري الدفعة السادسة
Signed 🌷زهرة التوليب🌷
Showing the 12 most recent of 16 posts we hold for @MuGUST. 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.
Mentions
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.
الجراحة 💊| Surgery 🔪 - Crypto currency @no1_oone · 313,664 Telegram ranks this channel #71 of 92 here — alongside 91 others — read 10 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“المكتبه الطبيه الإلكترونيه Genius” (@MuGUST), 2,465 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/MuGUST.
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.
