Telegram RegisterThe public register of Telegram

Channel

MedSBoX Learn

@QMR7S

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

2,269subscribers

+2 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-1001485194323
TypeChannel
Username@QMR7S
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/QMR7S

Growth

2,2672,2692,2687 August 2026 — 2,267 subscribers7 August 2026 — 2,267 subscribers11 August 2026 — 2,269 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net +2. 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 2,267–2,269 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 06:262,269+2
7 Aug 2026, 18:482,267no change
7 Aug 2026, 17:452,267first reading

Engagement

18 posts held, back to 17 February 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
12.5%
avg views ÷ 2,269 subscribers
Avg views / post
284
8 posts measured
Reaction rate
1.41%
reactions ÷ views · ER floor
Posts in window
9
of 18 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held18 (17 February 20266 August 2026)
Views total2,269
Reactions total31
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:48 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

67 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 74.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5074.6%
👍1420.9%
🔥34.48%

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 18 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 67reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 17 February 2026 to 6 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

6 Aug 2026, 22:36 UTC64 viewsread 7 August 2026
Forwarded from @QMRStarPhoto

⁣🤖 Google AI Pro | Official 💎 إشتراك رسمي 💰 السعر: 5$ 📅 المدة: شهر ⚡ التفعيل: على حسابك الشخصي عبر رابط دعوة - للمزيد من التفاصيل اضغط على الأزرار أدناه 📩 للإشتراك : @ID29i

Signed QMRStar

29 Jul 2026, 08:54 UTC196 views6 reactionsread 7 August 2026

- مع أني گلت ما انشر تطبيقات مهكر (apk) في القناة ، بس شفت اهواي طلاب تايهين بالتطبيقات والاستخدامات والاشتراكات وسهولة الوصول… والأخ. • راح بنشر لكم بقية البرامج بنفس الشكل (بعد ما اعمل ع تعديل بسيط عليها لحذف الروابط الضارة منها…) • راح انشر لكم مجموعة برامج ومواقع مجانيه تفيدكم بدراستكم وعملكم وكيف تستخدمونها وتستغلونها بشكل صحيح 👍 • قناة اليوتيوب للشرح QMR7S || MedSBoX • قناة التيليجرام @MedSBoX || @QMR7S

5👍1

Signed MedSBoX

29 Jul 2026, 08:46 UTC196 views2 reactionsread 7 August 2026
File

⏣┊ MJPDF ⏣┊ تطبيق يعرض ملفات PDF بشكا احترافي تام ⏣┊ عرض كامل المعلومات عن ملف الـPDF ⏣┊ اخر تحديث ⏣┊ مناسب لجميع الاجهزه ⏣┊ يفيد طلبة الجامعات ⏣┊ @TechCsl

1👍1

Signed MedSBoX

24 Jul 2026, 21:42 UTC321 views4 reactionsread 7 August 2026

​🩺 OcuLearning منصة تعليمية تفاعلية متكاملة في طب العيون • إذا كنت طالب طب، مقيم، أو طبيبًا في طب العيون أو الأعصاب، فهذه المنصة من أفضل الموارد المجانية حاليًا. 🎯 موجهة لـ: طلاب الطب ومقيمي طب العيون أطباء الأعصاب اختصاصيي البصريات كل من يرغب في تعزيز معرفته في أمراض العيون الميزة الأهم: المنصة والتطبيق مجانيين 100% . تجد اسفل هذه التطبيق ع المتجر تطبيق خاص للعظام 🦴 . • الموقع الرسمي: https://www.oculearning.com

4

Signed MedSBoX

22 Jul 2026, 17:37 UTC350 views3 reactionsread 7 August 2026

السلام عليكم هذه مجموعة اشتراكات للإنسان الخلوق(@thetechadmin) • التطبيقات الموجودة: تطبيقات عرض ملفات PDF 1- GOODNOTES 6 ( 3000 ) سنة 2- FREENOTES ( 2000 ) سنة 3- COLLANOTE ( 1000 ) تحميل لمرة واحدة فقط 4- NOTEFUL ( 1000 ) تحميل لمرة واحدة فقط • للاشتراك تواصلوا هنا 👈 @thetechadmin

3

Signed MedSBoX

22 Jul 2026, 12:06 UTC360 views5 reactionsread 7 August 2026
Photo

🧠 HyNote AI تطبيق ذكاء اصطناعي متقدم لتحويل الملفات والمحتوى إلى ملاحظات ذكية ومواد دراسية جاهزة. ✨ أبرز المميزات: 🎙️ تحويل الصوت إلى نص. 📄 تلخيص ملفات PDF والمستندات. 📹 تلخيص فيديوهات YouTube. 🖼️ استخراج النصوص من الصور (OCR). 🌐 تلخيص صفحات الويب. 📚 إنشاء ملخصات، أدلة دراسية، بطاقات مراجعة (Flashcards)، واختبارات (Quizzes). 🤖 الدردشة مع جميع ملاحظاتك بالذكاء الاصطناعي. 📥 التحميل: ⁠ 🍎 iPhone / iPad: App Store⁠ 🤖

5

Signed MedSBoX

21 Jul 2026, 23:23 UTC322 views5 reactionsread 7 August 2026
Photo

• جنون الصين لا يتوقف! 🚀🇨🇳 - الصين تطلق تطبيق Kimi-K3 نموذج ذكاء اصطناعي متطور 🤖✨ • ينافس ذكاء Fable 5 ، مجاني ١٠٠٪؜ 💸🔥 - رابط التحميل: Click here Telegram @QMR7S

3👍2

Signed MedSBoX

21 Jul 2026, 14:49 UTC460 views6 reactionsread 7 August 2026

السلام عليكم زملائي ❤️💊 حبيت أشارككم تجربة بسيطة بعد ما سجلت بكورس Farmakon. دخلت أكثر من كورس سابقًا، لكن أكثر شيء لفت أنتباهي بهذا الكورس هو كمية التفاصيل والترتيب الموجود بالمحتوى… تحس أن الهدف ليس فقط حفظ أسماء أدوية، وإنما فهم طريقة تفكير الصيدلاني داخل الصيدلية. • من أكثر الأشياء التي أعجبتني: ✅ شرح الحالات الشائعة التي تواجه الصيدلاني يوميًا ✅ طريقة قراءة الوصفات وفهم اختيار العلاج ✅ التعامل مع الجرعات والحسا

5👍1

Signed Mahmoud Al-Nuaimi

10 Jul 2026, 11:53 UTC312 views7 reactionsread 7 August 2026
Forwarded from @NootbookmlPhoto

Photo, posted without a caption

5👍2

Signed MedSBoX

10 Jul 2026, 11:53 UTC394 views9 reactionsread 7 August 2026
Forwarded from @Nootbookml

😉 كورس الباطنية الشامل | AI MED أتقن الباطنية بطريقة ذكية، منظمة، ومبنية على أهم المصادر العالمية. 📙معتمد على كتاب Davidson المرجعي. 📹فيديوهات تعليمية احترافية مدعومة بالذكاء الاصطناعي لتسهيل الفهم وترسيخ المعلومات. 📄ملف PDF شامل مع كل محاضرة للمراجعة السريعة. 🙂شرح وتحليل الوزاريات مع التركيز على أهم النقاط المتكررة. 🧑‍🎓 مناسب لطلبة جميع المراحل والكليات والتخصصات الطبية. 💵 السعر: 25,000 دينار فقط ابدأ رحلتك

👍54

Signed MedSBoX

9 Jul 2026, 15:52 UTC375 views5 reactionsread 7 August 2026
Photo

🤝تطبيق Quranify ☄️ - تطبيق جميل جداً للأستماع إلى القرآن الكريم بصوت أجمل القُراء 💜💜 - جميل وخفيف وسهل الاستخدام . - رابط التحميل: AppStore 🍎 💬 @QMR7S - @MedSBoX

5

Signed 𝚀𝙼𝚁𝟽𝚂

Showing the 12 most recent of 18 posts we hold for @QMR7S. 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 — 305,548 of 1,169,250entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 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.

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

“MedSBoX Learn” (@QMR7S), 2,269 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/QMR7S.

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.