This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 7 days, net -7. 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 1,564–1,575 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 05:16
1,565
-9
11 Aug 2026, 00:38
1,574
+2
7 Aug 2026, 14:26
1,572
no change
6 Aug 2026, 22:02
1,572
first reading
Engagement
22 posts held, back to 26 July 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
30.9%
avg views ÷ 1,565 subscribers
Avg views / post
484
22 posts measured
Reaction rate
0.504%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 19 of 22 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 7 August 2026
Posts held
22 (26 July 2026 – 7 August 2026)
Views total
10,637
Reactions total
50
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:00 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
3m 14s
Average length
1m 37s
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
50 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 72.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
36
72.0%
👍
6
12.0%
🫡
4
8.00%
💔
2
4.00%
🤔
1
2.00%
🥰
1
2.00%
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 22 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 50reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 26 July 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.
أقام طلاب الدفعة السابعة – طب بشري بكلية الطب والعلوم الصحية – جامعة إب، اليوم سمنارًا علميًا بعنوان "أهداف التنمية المستدامة في الجانب الصحي في اليمن"
وذلك تحت الإشراف العلمي للدكتور محمد الحكمي، رئيس قسم طب المجتمع، الذي عُرف بمتابعته الأكاديمية المتميزة وحرصه المستمر على تنمية قدرات الطلاب وتشجيعهم على البحث العلمي والعرض الأكاديمي الهادف.
تناول السمنار مفهوم أهداف التنمية المستدامة، مع التركيز على الهدف الثالث …
أقام طلاب الدفعة السابعة – طب بشري بكلية الطب والعلوم الصحية – جامعة إب سمنارًا علميًا بعنوان "أهداف التنمية المستدامة في الجانب الصحي في اليمن"
وكان ذلك بإشراف الدكتور محمد الحكمي، رئيس قسم طب المجتمع، حيث استعرضوا أبرز المؤشرات الصحية والتحديات التي تواجه القطاع الصحي في اليمن.
واختُتم السمنار بعرض فيلم وثائقي قصير جسّد رحلة الصحة في اليمن بين الأزمة والأمل، مقدمًا عددًا من التوصيات الرامية إلى دعم وتطوير الخدمات ا…
✳️ إعلان استبدال (7) (في الكليات الطبية)
▪️تاريخ الإعلان: 22 صفر 1448هـ الموافق: 5-8-2026
🌀 تعلن جامعة إب
عن استبدال المقاعد الشاغرة في الكليات الطبية، للعام الجامعي: 1448هـ_ 2026 / 2027م، وعلى الطلبة الواردة أسمائهم أدناه سرعة مراجعة لجنة القيد والتسجيل في نيابة شؤون الطلبة لتسليم ملفاتهم خلال الفترة:
من الخميس : 23 صفر 1448هـ الموافق: 6-8-2026م
وحتى السبت: 25 صفر 1448هـ الموافق: 8-8-2026م
مع اصطحاب الآتي:
1️⃣ أصل…
تعد مجزرة عائلتي أبو شريعة والحساينة في حي الصبرة بمدينة غزة من أكبر المجازر التي شهدها الحي خلال الحرب، حيث استهدف مربع سكني كامل بالأحزمة النارية بتاريخ 22 نوفمبر/ تشرين الثاني
2023، ما أدى إلى تدمير المنطقة بالكامل وطمس معالمها تحت الركام.
وبسبب منع الوصول إلى الموقع لفترة طويلة، تعذر انتشال الشهداء منذ وقوع المجزرة، إلى أن بدأت طواقم الدفاع المدني عمليات الانتشال في 14 يوليو/ تموز 2026، واستمرت حتى 1 أغسطس / أب…
بيان القوات المسلحة اليمنية بشأن تنفيذ عملية عسكرية استهدفت سفينة "وفاء" النفطية السعودية شمالي البحر الأحمر أمام منطقة "ينبع" وذلك بعدد من الصواريخ الباليستية محققة إصابة دقيقة بفضل الله، وذلك في إطار معادلة "الحصار بالحصار".
جودة منخفضة
http://t.me/army21ye
أقامت كلية الطب والعلوم الصحية اليوم الثقافي في قسمي الطب البشري مستوى اول ومستوى ثالث وقسم المختبرات مستوى اول ومستوى رابع
بحضور مميز وتفاعل طلابي واسع أُقيم اليوم الثقافي لدفُعات من كلية الطب تحت عنوان "استشعار الرقابة الألهية"
وشهدت الأنشطة حضورًا مميزًا بلغ إجماليه 251 طالبًا وطالبة، موزّعين بين قسم الطب البشري (105 مستوى أول، 87 مستوى ثالث) وقسم المختبرات (27 مستوى أول، 32 مستوى رابع).
يرسّخ إقامت اليوم الثقاف…
📢 إعلان عن فقدان
تم فقد شهائد لدورة تابعة للهلال الأحمر داخل الكلية في قاعه 3
نرجوا ممّن وجدهن تسليمهن إلى حارس الكليه
او التواصل معنا عبر البوت
@Scientific_med_USF_bot
كتب الله أجركم
ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ
#جامعة_إب
#كلية_الطب_والعلوم_الصحية
#اللجنة_العلمية_المركزية
#ملتقى_الطالب_الجامعي
🏆 مسابقة مدينة إب الطبية 🏆
السلام عليكم ، أتمنى دعمكم وفزعتكم في المسابقة.
📌 خطوات التصويت الصحيحة:
تأكدوا أولاً من الاشتراك في القناة.
التصويت لا يكون باللايكات أو التفاعلات على الرسالة، بل بالضغط على الزر الموجود في الأسفل عند راس السهم بالصورة المرفقه المكتوب عليه: (❤️ صوّت لـ بشار العُمَري مستوى ثاني طب بشري).
ملاحظة: إذا تأخر الزر بالاستجابة عند الضغط، حاولوا الضغط (مرتين أو ثلاث) حتى يتم تسجيل صوتكم بنجا…
"يرتفعُ الإنسانُ بإخلاصه، ويُخَلَّدُ بأثرهِ وعطائه"
بأسمى عبارات التهاني والتبريكات، وبمزيجٍ من الفخر والوفاء، نودّع مدير المخازن في كلية الطب الأخ والزميل العزيز :
ياسين عبدالحميد حمود الحاج
بمناسبة حصوله على منحة دراسية إلى إندونيسيا لإكمال دراساته العليا في تخصص (الكيمياء الصناعية).
لقد كنتَ خلال فترة وجودك وخدمتك النبيلة في كلية الطب مثالاً للعطاء والإخلاص، وعنواناً للتعاون والتفاني، وتركتَ في كل موقف وزاو…
🫡2❤1👍1
Signed 𓆩ʙᴀѕнᴀʀابن العُمري𓆪
Showing the 12 most recent of 22 posts we hold for @scientificCommittee_IbbUSF. 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 — 1,224,126 of 1,350,102entries 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
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 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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“اللجنة العلمية المركزية - كلية الطب والعلوم الصحية - جامعة إب | USF” (@scientificCommittee_IbbUSF), 1,565 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/scientificCommittee_IbbUSF.
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.
