3 measurements taken within a single day, net +11. 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 444–459 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Nov 2026, 21:08
457
+11
7 Nov 2026, 17:22
446
no change
7 Nov 2026, 16:47
446
first reading
Engagement
13 posts held, back to 22 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
128.8%
avg views ÷ 457 subscribers
Avg views / post
588
11 posts measured
Reaction rate
2.15%
reactions ÷ views · ER floor
Posts in window
12
of 13 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 6 November 2026
Posts held
13 (22 September 2026 – 6 November 2026)
Views total
6,473
Reactions total
139
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 17:22 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.
Reaction mix
139 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 79.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
110
79.1%
❤🔥
25
18.0%
🔥
2
1.44%
😍
2
1.44%
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 11 of the 13 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 22 September 2026 to 6 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: 6 of 12 posts held from the last 30 days (50.0%) 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).
#صيدلانيات1 💊
📌المادة عبارة عن قسمين تتشاركها الدكتورتان أمل يوسفان و هند الزين.
📌عدد المحاضرات:
🔺قسم الدكتورة هند 3 محاضرات
📌 عبارة عن نظري وعملي
🔺القسم النظري:
▫️قسم الدكتورة أمل نتعرف على بدايات
الصيدلة و الدواء وبنتوسع بالاشكال
الصيدلانية كالمساحيق والحثيرات أما
الشرابات والكبسولات والكريمات والمراهم
نظرة عامة من ناحية الأسرع تأثيراً و توافر
حيوي 💥
▫️قسم الدكتورة هند ر…
#الكيمياء_الفيزيائية 🧪
📌تعطيها الدكتورة ميسم سلامي ❤️
📌عدد المحاضرات: 12 محاضرة
📌 عبارة عن نظري وعملي
🔺القسم النظري:
ثلاث ابحاث رئيسية : حالات المادة، طرق
القياس الفيزيائية، الحركية
▫️حالات المادة بتحكي عن الروابط بين
الجزيئات كبداية و بعدها بننتقل لحالات
المادة (الغازية-الصلبة-السائلة) و
بندرس المحاليل وخواصها
▫️طرق القياس الفيزيائية بنحكي عن
الانكسار وتطبيقاته و الاستقطاب،…
#اللغة_الانكليزية3 🔠
📌تقوم بإعطاء المادة الدكتورة نادرة الفاضل 😍❤️
📌عدد المحاضرات: 8 محاضرات تتضمن نصوص ومفردات طبية وقواعد.
▫️اللغة الانكليزية خطوة أساسية لكل طالب
صيدلة حتى يكون قادر على فهم
المصطلحات الطبية الأساسية.
▫️عبارة عن نصوص طبية بتغطي
موضوعات مثل spelling and
pronunciation of medical terms
وكيفية فهم وتفكيك الكلمات الطبية.
▫️مفردات طبية (Vocabulary): بن…
أصدقاؤنا الأعزاء 💜
أهلاً وسهلاً فيكم بكلية الصيدلة 💜🌸
مع اقتراب بدء رحلتكم في السنة الثانية يسرنا أن نقدم لكم تعريفاً لمواد هذا الفصل، آملين أن تحقق الفائدة لكم 😍
⚠️ مع الانتباه أن هذه المعلومات تبعاً للسنوات السابقة، حيث أنه لم يتم البدء بالاعطاء هذه السنة حتى الآن❤️
نتمنّى لكم كل التوفيق أصدقاءنا ❤️
لا تنسونا من صالح دعائكم 😍❤️
#VivaRBCs ❤️
#WeCarryYourO2 💪🏻
#RBCsTeam 😍
حين يكتسي الدرب بسنا المعرفة، وتتكاتف السواعد لنشر الخير، تصبح رحلة العلم أبهى وأعمق أثراً ❤️🩹✨️..
من هذا الإيمان الخالص بروح التعاون، نطلق حملة "محاضراتك عنا"، لنرسم معاً معاني العطاء ونسهل على بعضنا دروب التحصيل الدراسي. ❤️
🔸️ فكرة الحملة:
إمكانية التبرع بالمحاضرات من أجل وصول المحاضرات الورقية للطلاب ليتمكن الجميع من الاستفادة منها، متمنين أن يكون الأجر والثواب للجميع.😍❤️🩹
💬 التبادل يتم عبر الغروب الخاص بالتو…
قال ﷺ إِنْ قَامَتِ السَّاعَةُ وفي يَدِ أَحَدِكُمْ فسيلة فَلْيَغْرِسْهَا ❤️
البذل والعطاء من أعظم الأفعال يلي ممكن يعملها أي شخص وتكون السبب بتطوير ذاته ونهضة مجتمعه.. والتطوع بيساعدنا نكون أشخاص منتجين فعالين عندهم رسالة وهدف ❤️
لهيك لكل شخص حابب يشاركنا برحلتنا ويصير كرية بتنقل الأوكسجين بكل حب وأمانة، و يترك بصمة مميزة خلال حياته الجامعية.. وأكيد يفيد دفعتنا على وجه الخصوص والتعليم الجامعي على وجه العموم 🔥
فريق …
السلام عليكم ورحمة الله
أصدقاءنا أعزاء ❤️
نظراً لكثرة استفساراتكم عن البوت، نوضح أن بوت فريقنا مصمم للتواصل معنا وللاستفسار العلمي والأسئلة والمقترحات ❤️🔥
⚠️ أما المحاضرات فتجدونها على موقع درايف، وعلى قنوات أربيسيز. ❤️🔥
#RBCsTeam ❤️
#WeCarryYourO2 ✌️❤️
اسعد الله مسائكم اصدقائنا الأعزاء ❤️
نذكركم ببوتات التواصل مع كريات الفريق، البوتات مخصصة للاستسفارات بما يخص المحاضرات أو لارسال التصويبات، ولسماع مقترحاتكم بما يخص فريقنا 😍❤️
والآن نضع بين أيديكم بوتات الفريق للتواصل معنا وسنجيب بأسرع وقت ❤️🔥
📎 بوت السنة الثانية:
@RBCsteam_Pharmacy2030bot
📎 بوت السنة الثالثة:
@RBCsteam2029telbot
📎 بوت السنة الرابعة:
@RBCsteam2028telbot
📎 بوت السنة الخامسة:
@RBCsteam2027telbo…
السلام عليكم أصدقاءنا الأعزاء❤️
زملاءنا المقبلين على السنة الثانية مع اقتراب موعد الفرز وانضمامكم إلى عائلتنا 😍
نذكركم بأن فريقنا دوماً معكم من البداية وحتى النهاية 🔥
ونذكركم بالانضمام إلى قناتكم الخاصة على التيلغرام 👇🏻
https://t.me/rbcspharmacy2030
نتمنى التوفيق لكم ولجميع زملاءنا 😍
لا تنسونا من صالح دعائكم ❤️
#VivaRBCs🔥
#RBCsTeam😍
#WeCarryYourO2❤️
Showing the 12 most recent of 13 posts we hold for @rbcspharmacy2030. 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
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“RBCs Pharmacy 2030” (@rbcspharmacy2030), 457 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/rbcspharmacy2030.
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.