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Channel

MedMorph Academy

@MedMorph

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,548subscribers

+376 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002938899297
TypeChannel
Username@MedMorph
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/MedMorph

Growth

1,1721,5481,3607 August 2026 — 1,172 subscribers7 August 2026 — 1,172 subscribers8 August 2026 — 1,232 subscribers11 August 2026 — 1,362 subscribers15 August 2026 — 1,464 subscribers18 August 2026 — 1,548 subscribers7 August 202618 August 2026
6 measurements spanning 10 days, net +376. 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 1,116–1,604 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 03:151,548+84
15 Aug 2026, 02:471,464+102
11 Aug 2026, 21:421,362+130
8 Aug 2026, 13:571,232+60
7 Aug 2026, 23:321,172no change
7 Aug 2026, 16:031,172first reading

Engagement

19 posts held, back to 16 July 2026the 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
60.9%
avg views ÷ 1,548 subscribers
Avg views / post
942
12 posts measured
Reaction rate
1.87%
reactions ÷ views · ER floor
Posts in window
12
of 19 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
WindowRolling 30 days · latest post in window 5 August 2026
Posts held19 (16 July 20265 August 2026)
Views total11,304
Reactions total211
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:32 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
4m 00s
Average length
2m 00s

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

321 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 57.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18357.0%
❤‍🔥6620.6%
🔥3711.5%
💯195.92%
🙏51.56%
👏30.935%
😍30.935%
🤗30.935%
👍10.312%
🤝10.312%

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 19 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 321reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 16 July 2026 to 5 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.

Recent posts

5 Aug 2026, 15:29 UTC591 views29 reactionsread 7 August 2026
Photo

كورس مصطلحات طبية مجاني بالكامل! المصطلحات الطبية هي أساس رحلتك في أي كلية طبية! موجّه لطلاب المقبلين على المرحلة الأولى ✨ تعلم، افهم، وابدأ رحلتك بثقة ✨ ماذا ستحصل؟ 📖 شرح مبسط وسهل الفهم 📝 ملخصات منظمة ❓ MCQs للتثبيت والمراجعة 🎯 بناء أساس قوي لاختصاصك الطبي شروط الانضمام سهلة! سوي تاك لـ 5 من أصدقائك في التعليقات على بوست الانستكرام . انضم لقناة التليجرام الخاصة بنا. ⭐ ابدأ الآن، وكن مستعدًا للنجاح من اليوم الأول!

23❤‍🔥5💯1

4 Aug 2026, 22:59 UTC618 views22 reactionsread 7 August 2026
Photo

تحديث جديد من MedMorph Academy 🦷 🩵يسعدنا اعلامكم بأنه تم إضافة مواد طب الأسنان الأساسية ضمن القائمة، مع تحديث محتوى الفريق وانضمام نخبة من أوائل طلبة طب الأسنان لضمان تقديم تجربة تعليمية أكثر تخصصا وجودة. 🩵وأصبح بإمكانكم الآن حجز كورسات تخصصية لمواد طب الأسنان الأساسية، سواء بنظام التدريس الفردي (Private Tutoring) أو ضمن مجاميع دراسية صغيرة حسب احتياجكم ومستواكم. هدفنا هو تقديم شرح منظم، متابعة مستمرة، ومحتوى يساع

11🔥7👏2❤‍🔥1💯1

2 Aug 2026, 19:37 UTC891 views37 reactionsread 7 August 2026
Photo

بسم الله الرحمن الرحيم اليوم نحتفل معكم بوصول MedMorph إلى 1000 مشترك. هذا الرقم ليس مجرد عدد، بل هو ألف شخص منحنا ثقته، وآمن برسالتنا، وكان جزءًا من رحلتنا. نتقدم بجزيل الشكر والامتنان لكل طالب وطالبة انضموا إلينا، ولكل من دعمنا، وشارك محتوانا، وقدم ملاحظاته التي ساهمت في تطوير ما نقدمه. ومن جانبنا، نحن محاضري MedMorph وجميع أعضاء الفريق، نجدد وعدنا بأن نستمر في تقديم محتوى علمي متميز، وشرح واضح، ومتابعة حقيقية،

❤‍🔥258🔥3🤝1

31 Jul 2026, 16:00 UTC≈1,160 views16 reactionsread 7 August 2026
Video

عينة من شرح محاضرات ومراجعة تشرح ال Upper limb anatomy لكلية الطب - جامعة وارث | الكورس المكثف للدور الثاني وتذكر دائما اكو وقت ويه الشرح والترتيب الصح راسلنا واحجز كورسك الخاص مع افضل المدرسين من الأوائل وطلبة الدراسات العليا @medmorph_academy

14💯2

29 Jul 2026, 11:30 UTC≈1,310 views5 reactionsread 7 August 2026
File

مرحبا جميعاً هذا الملف يحتوي على جدول لكورس تشريح لطلاب الدور الثاني - طب النهرين الكورس بسعر مناسب ان شاء الله وبالجدول المذكور الكورس يشمل بنك اسئلة ومراجعات الشرح على ملازم النهرين حصرياً

4🙏1

27 Jul 2026, 13:12 UTC≈1,260 views19 reactionsread 7 August 2026
Photo

شخصياً، والله ما توقعت يوصل طالب لهل المستوى بهالفترة القصيرة. المادة كانت مو فسلجة عادية جانت فيزياء طبية، ومليانة مفاهيم معقدة تحتاج فهم مو مجرد حفظ وابدا مو سهلة. لكن أبطال جامعة شهيد بهشتي أثبتوا إن بالإصرار والشرح الصح، ماكو شيء مستحيل. 🩵🧤 فخور بيكم جداً... والقادم أفضل بإذن الله. 🫡🩷 #Feedback@MedMorph

🔥86❤‍🔥4👍1

27 Jul 2026, 12:44 UTC≈1,070 views9 reactionsread 7 August 2026
Photo

احجز كورسك الخاص 🔹 @Medmorph_academy

💯62👏1

26 Jul 2026, 04:09 UTC972 views9 reactionsread 7 August 2026

تحديث 🔹 تم تحديث ساعات العمل وآلية الرد على الرسائل. يمكنكم التواصل معنا لحل اي مشكلة او لحجز الكورسات. شكرا لتواصلكم معنا واهلا وسهلا بكم في اكاديمية MedMorph 🩺🥼🩵 @Medmorph_academy

9

25 Jul 2026, 11:26 UTC904 views14 reactionsread 7 August 2026
Photo

ابطالي من بهشتي ❤️❤️ #Feedback@MedMorph

6💯5❤‍🔥3

25 Jul 2026, 07:21 UTC814 views20 reactionsread 7 August 2026
Photo

🫡🫡 طموحي أعلى وأعلى ويه طلاب إيران. اله اوصلكم للـ18 والـ19 بامتحاناتكم. ووعد الحر دين... ما أقصر وياكم، ونفرح كلنا بالنتائج. 🔥 #Feedback@MedMorph

🔥134❤‍🔥2💯1

22 Jul 2026, 23:59 UTC805 views19 reactionsread 7 August 2026

🩵 مع انضمام نخبة من المحاضرين المتميزين إلى الأكاديمية، أصبح بإمكانكم الآن حجز دور ثاني لأي مادة تحتاجونها. سواء كانت المادة من المواد الأساسية (Basic Sciences) أو المواد السريرية (Clinical Sciences)، سنوفر لكم محاضرين مختصين وخطة مراجعة تساعدكم على الاستعداد بشكل أفضل للامتحان. راسلونا: @medmorph_academy

16💯3

20 Jul 2026, 20:29 UTC909 views12 reactionsread 7 August 2026

🩺 انتهى عرض التخفيض لكورس المناعة شكرا جزيلاً وكل التوفيق لجميع الطلبة 🩵🧤

6❤‍🔥3🙏3

Showing the 12 most recent of 19 posts we hold for @MedMorph. 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.

Citation-graph rank

Citation-graph rank — 1,333,179 of 1,550,164entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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.

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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“MedMorph Academy” (@MedMorph), 1,548 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/MedMorph.

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.