3 measurements spanning 6 days, net +1. 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 2,244–2,245 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Oct 2026, 07:54
2,245
+1
29 Sept 2026, 01:22
2,244
no change
29 Sept 2026, 00:47
2,244
first reading
Engagement
15 posts held, back to 21 September 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
26.8%
avg views ÷ 2,245 subscribers
Avg views / post
601
14 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 13 of 14 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 27 September 2026
Posts held
15 (21 September 2026 – 27 September 2026)
Views total
8,419
Reactions total
125
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 01:22 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
Video runtime
1h 49m
Average length
21m 56s
Measured directly from 5 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
125 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 73.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
92
73.6%
🔥
15
12.0%
🥰
10
8.00%
😍
4
3.20%
👍
3
2.40%
❤🔥
1
0.8%
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 13 of the 15 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 125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 21 September 2026 to 27 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.
مساء الجمال والكريستال على أحلى شباب ❤️🔥
المحاضرة التالتة والأخيرة في جزء الـ Physiology الجديد 💪🔥
وبكده يا أبطال نكون طحنّا الـ Physiology بالكامل، ونبدأ على طول في جزء Maternal الجديد 😎🔥
أما جزء حل الأسئلة بالطريقة الفنية + محاضرة Investigations، فدول بيتظبطوا دلوقتي وهينزلوا على الـ Application قريبًا 👌
وطبعًا استجابةً لطلبات حبايبنا الطلبة ❤️
اشتغلنا من الورق + التجميعات السحرية + التظبيط النهائي عشان ناخد ال…
أحلى مسا ع أحلى دكاتره كلينيكال
جايين ليكو بعرض حصرى لمدة أسبوع
علشان اكبر عدد يستفيد ويبدأ يدوس
فى المواد ويذاكر ❤️🔥💪
.
🎁 خصم الباطنة مع د سامر
✔️ عرض ال 5️⃣ صحاب :
هيبقى سعر الطالب الواحد 1350 بدلا من 1850
.
✔️ عرض ال 0️⃣1️⃣ صحاب :
هيبقى سعر الطالب الواحد 1200 بدلا من 1850
⚠️⚠️ يشترط تحويله واحده
.
🎁 خصم النسا مع د سامح
✔️ سعر الكورس 1100 بدلا من 1500
.
⏱⏱ لمده أسبوع واحد فقط
.
للحجز والاشتراك :
◾️ ف كاش : التوا…
🔥 First & Second Wave of Trophoblastic Invasion 🔥
& their relation to Pre-eclampsia & Eclampsia
فيديو مهم جدًا يوضح ببساطة الفرق بين الـ 1st والـ 2nd wave من اختراق المشيمة، وإزاي الخلل في العملية دي يرتبط بحدوث Pre-eclampsia & Eclampsia 🩺🫀
شوف الفيديو… وادعيلي ❤️🔥
🚨 تنبيه هااام يا شباب 🚨
النهارده نزلت محاضرة Abortion، ودي تابعة ل
Part 2: Abnormal Pregnancy.
وده معناه إن المنهج بيتحدّث وبيتغيّر، والاعتماد على القديم بس هيضيّع وقت ومعلومات مهمة.
✅ الصح إننا نعمل تظبيط كامل للمنهج ما بين المحاضرات الجديدة + كتاب د. أسامة، مع إضافة الـ Updates الخاصة بالتوليد اللي إحنا كدكاترة نسا وولادة لازم نكون عارفينها.
وعشان كده أجلت الفيديو الثالث والأخير منPhysiology of Normal Pregnancy…
مساء الفل يا أبطال ❤️🔥
دي مذكرة الـ Investigations متظبطة بالكامل على الـ Update الجديد 💯
فيها كل إضافات الكلية وكل المطلوب، ومترتبة عشان تلمّ المنهج من غير لف ولا تضييع وقت.
وهنحوّلها كعادتنا لـ فيديو جامد، سريع، مركز، ويلمّ الزتونة كلها 🔥🚀
Update جديد + شرح مركز = مذاكرة أذكى ووقت أقل. 💪
يوم سعيد على الأبطال ❤️🔥
النهارده معاكم فيديو عملي مهم جدًا من حالة متابعة عندي في Early Pregnancy 👌🏻
هنشوف مع بعض بشكل عملي:
🔹 Decidua — الجزء من بطانة الرحم أثناء الحمل
🔹 Gestational Sac — كيس الحمل
والأهم إننا مش هنتكلم عن المعلومة نظري بس… هنشوفها قدام عينينا في حالة حقيقية 🔥
الفيديو ده هيكون مفيد جدًا ليكم، وده غير إنه داخل كمان ضمن محاضرة Investigation، يعني المعلومة هتوصلكم نظري + عملي 💯
من الآخر… فيديو صغي…
Obs & Gyne 62th (Dr.Sameh Elmahdi) 🤍 pinned «🩷 Channel Content 🩷 🔹 الفيديو التقديمي للمادة 🔹 خارطة الطريق لمنهج التوليد 🔹 مقدمة خفيفة ومهمة قبل الحصة الأولى ——————————————— 🔹 المحاضرة الأولى الجزء الأول ( Normal pregnancy ) 🔹 الجزء الثاني من المحاضرة الأولى ( Normal pregnancy ) ———————————————…»
🩷 Channel Content 🩷
🔹 الفيديو التقديمي للمادة
🔹 خارطة الطريق لمنهج التوليد
🔹 مقدمة خفيفة ومهمة قبل الحصة الأولى
———————————————
🔹 المحاضرة الأولى الجزء الأول ( Normal pregnancy )
🔹 الجزء الثاني من المحاضرة الأولى ( Normal pregnancy )
———————————————
🟣 فيديو عملي ( Early pregnancy )
———————————————
🔵 مذكرة الـ investigations 📚
———————————————
🩷🔗 Channel Link 🔗🩷
مساء الفل واللذاذة على أحلى شباب ❤️🔥🔥
ندخل على الفيديو التاني 2️⃣…
واللي بصراحة أقدر أسميه الريشة الذهبية في جناح منهج الولادة 💫⭐️
NORMAL PREGNANCY 🩺🔥
والنهارده مع:
PHYSIOLOGY OF REPRODUCTION
والـ Topics بتاعتنا 👇👇👇
🔹 Placental Development
🔹 Placental Function
🔹 Placental Anomalies
أما الفيديو الأول 1️⃣ فكان البداية مع:
🔸 Fertilization
🔸 Development of Embryo
⚠️ وهنا ركزوا معايا جدًا… لأن دي نقطة فارقة.
أنا شاي…
بسم الله ♥️
🌟متاح باذن الله ف مركز برلين
📖 كتاب التوليد بارت 1
📒 مذكرة اسئلة عن البارت الاول
لاستشاري النسا والتوليد د/ سامح المهدي
الدكتور الوحيد المتخصص
⌫ الكتاب صغنن وباذن الله بداية الاسبوع القادم هينزل باقي المنهج كامل ♡
⌫ الكتاب بالكامل معمول ع كتاب الدكتور اسامة بالاضافة لتفاصيل وتركات وصور ف الورق هتسهل عليك المذاكرة جداً باذن ا عشان
يكون اشمل مصدر باذن الله ♡︎
برلين 👑
❤8
Showing the 12 most recent of 15 posts we hold for @drsameh_62class. 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
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 2 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.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“Obs & Gyne 62th (Dr.Sameh Elmahdi) 🤍” (@drsameh_62class), 2,245 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/drsameh_62class.
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.