Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
19 measurements spanning 19 days, net -423. 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 58,939–59,488 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Aug 2026, 01:24
59,002
-14
23 Aug 2026, 11:16
59,016
-32
22 Aug 2026, 01:08
59,048
-34
20 Aug 2026, 19:43
59,082
-2
19 Aug 2026, 19:02
59,084
-7
18 Aug 2026, 17:03
59,091
-35
17 Aug 2026, 18:48
59,126
-9
16 Aug 2026, 15:25
59,135
-23
14 Aug 2026, 21:28
59,158
-37
13 Aug 2026, 09:18
59,195
-28
12 Aug 2026, 08:38
59,223
-43
11 Aug 2026, 09:32
59,266
-29
10 Aug 2026, 06:18
59,295
-40
9 Aug 2026, 08:01
59,335
-27
8 Aug 2026, 07:51
59,362
-26
7 Aug 2026, 07:22
59,388
-35
6 Aug 2026, 05:28
59,423
-2
6 Aug 2026, 01:36
59,425
no change
6 Aug 2026, 00:19
59,425
first reading
Engagement
65 posts held, back to 30 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 40 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.12%
avg views ÷ 59,002 subscribers
Avg views / post
4,790
65 posts measured
Reaction rate
0.757%
reactions ÷ views · ER floor
Posts in window
65
of 65 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 24 August 2026
Posts held
65 (30 July 2026 – 24 August 2026)
Views total
311,270
Reactions total
2,355
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Aug 2026, 01:50 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
Photos
≈15,500
Videos
≈188
Links
≈17,400
Lifetime counters from Telegram’s own channel header, read 25 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
27s
Average length
27s
Measured directly from 1 video 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
2,272 reactions across 62 posts, in 7 distinct kinds. The most used accounts for 55.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,251
55.1%
😢
514
22.6%
👏
164
7.22%
🔥
145
6.38%
😱
104
4.58%
🥰
50
2.20%
👍
44
1.94%
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 65 of the 65 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 2,355reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 65 most recent posts we hold, published 30 July 2026 to 24 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.
🚩• لأول مرة في دمشق… 🇸🇾
دورة متقدمة في #الجراحة_الصدرية بالمنظار أحادي المنفذ Uniportal VATS 🫁
بمشاركة الأستاذ الدكتور Diego González Rivas، أحد أبرز رواد الجراحة الصدرية بالمنظار عالميًا.
📅 26–27 آب 2026
📍 المشفى الوطني الجامعي – دمشق
محاضرات متقدمة، #بث_مباشر لعمليات جراحية، وأحدث تقنيات الجراحة الصدرية.
🔹 للتسجيل، اترك تعليقًا ويصلك الرابط
برعاية شركة Modern Surg
#عدسة_طبيب
https://www.facebook.com/share/p/1…
🔴 #هام || #شكوى
عندما يتعلق القرار بمستقبل آلاف الطلاب، يصبح من الطبيعي التوقف عند الأرقام والواقع الفعلي لكل جامعة.
أثار القرار /688/ تساؤلات حول تطبيق نسبة موحدة تبلغ 70% من مقاعد المشافي الجامعية لصالح خريجي الجامعة الأم، في ظل وجود تفاوت واضح بين الجامعات من حيث عدد الخريجين، وعدد المشافي الجامعية، والطاقة الاستيعابية، والاختصاصات المتاحة.
📌 فالواقع بين الجامعات ليس متشابهًا:
• دمشق تضم 7 مشافٍ جامعية تابعة ل…
راجع العيادة رجل في الأربعينيات يشكو من صداع قوي وخمول حاد طوال النهار، مبرراً ذلك بضغوط العمل ..
بعد سؤال الزوجة تبين:
"أنه يشخر بقوة ليلاً ، ينقطع نَفَسه تماماً لثوانٍ كأنه يختنق، ثم يشهق فجأة ليعود إليه الهواء!".
مرضه لا يسرق طاقته نهاراً فحسب، بل يحرم دماغه وقلبه من الأكسجين ليلًا مهدداً حياته..
ما هو التشخيص الطبي الدقيق لهذه الحالة⁉️
شاركنا رأيك..📩
#siba_ebrahim_almasri
#عدسة_طالب_طب
https://www.facebook.…
🔴 نقلًا عن وزير التعليم العالي: تم إقرار الترفع الإداري في كافة الجامعات السورية، بدون وجود دورة تكميلية.
وسيتم رفع المسودة إلى السيد الرئيس لإقراره.
#عدسة_طالب_طب
https://m.facebook.com/story.php?story_fbid=pfbid095u61yNSmySsJ8b6oUtJt4mzJTH79GHRYB5StXGDRSjvASbhKrvnC4ARdYsLAkELl&id=100064495310121&mibextid=Nif5oz
مو كل أثر لازم يكون كبير…
أحياناً صورة، كلمة، فكرة، أو حتى لحظة بسيطة
بتترك شي حلو بذاكرة حدا 🤍
ومن هون بدأت الحكاية…
كبرت #عدسة_طالب_طب خطوة بخطوة،
بأفكار ناس آمنت إنو لكل طالب طب مساحة
يبدع فيها، يتعلّم، ويترك بصمته ✨
واليوم عم نفتحلكم هالمساحة…
إذا كنت طالب/ـة في #جامعة_الفرات
وعندك شغف بالمحتوى، التصوير، التصميم، الكتابة،
أو حتى حابب تكتشف شو ممكن تعمل وتتعلم معنا…
يمكن تكون العدسة الجاية أنت 📸
🔻 فتح باب ال…
#مشفى_حلب_الجامعي || #الجراحة_البولية
🔹 تُـبارك أسـرة #فريق_الــعدسة للدكتور #آزاد_عبد_الرحمن_فاضل نيله شهادة الماجستير في قسم#الجراحة_البولية من جامعة حلب "حصلت الرسالة على تقدير #امتياز بنسبة 88 من 90"🎖
← حيث ناقش رسالته بعنوان:
« المقارنة بين التامسولوسين والسيلودوسين لعلاج حصيات أسفل الحالب بقطر أقل من 1 سم »
✔️ وذلك بحضور لجنـة التحكيـم المـؤلفة من :
▪️الدكتور محمد مرجان - الأستاذ في قسم الجراحة في كلية الطب…
بين صفوفِ #المدرسة وأروقة #المشافي... هل الزيّ وحده يصنع الاحترام؟
في خُطوةٍ مُلفتة ومميّزة، كشف وزير التّربية التركيّ "يوسف تكين" عن قرارٍ يُلزم المعلمين بارتداء المئزر الأبيض داخل المدارس؛ بوصفه انعكاساً ل #وقار_المهنة وجدّية الخدمة العامة، ومراعاةً للحساسيّات المجتمعية، مؤكداً أهمية هذه الخطوة في جعل المعلّم قدوةً حسنةً لطلابه.✨
لطالما ارتبط المئزر الأبيض بعالم الأطبّاء، حيث يختصر الهيبة والطمأنينة والمسؤوليّة، …
صار معك من قبل هيك؟
تكون قاعد أو نايم مرتاح، وفجأة أول ما توقف بتحس أنو الدنيا لفّت فيك لثواني، أو نظرك غبّش وكأنك رح توقع! 😵💫
بس يا ترى ليش بصير هالشي أصلاً؟ 🤔
وهل هو أمر طبيعي بصير مع الكل، ولا ممكن يكون إشارة من جسمك أنو في شي لازم تنتبهلو؟ ⁉️
تركولنا تعليق ليوصلكن الجواب 📩
#حسن_ريا
#عدسة_طالب_طب
https://www.facebook.com/share/p/1BnSXCv5aD/
الجامعات كلها خلصت… حلب وإدلب: لسا مكملين المشوار 😂📚
معظم الطلاب بلشوا عطلتهم، وإحنا لسا عم نعدّ الأيام لنخلص 🥲
مين لسا ما خلص؟ وكيف الوضع عندكم؟ 👀
#عدسة_طالب_طب
#loaayalali4
https://www.facebook.com/share/p/19E4AYnizA/
بين الفيزيولوجيا و الواقع
الم.وت خنقاً #غاز_السارين
21/ آب /2013
في لحظات الخو.ف، يهرب الإنسان غريزياً إلى أسفل الأرض ليحتمي من القص.ف..
لكن في فجر ذلك اليوم الأسود، كانت هذه التصرفات الغريزية هي التي ضاعفت المأساة.
https://www.facebook.com/share/1BN3sJduFG/?mibextid=wwXIfr
#Ghina_Shakoush
#عدسة_طالب_طب
تخيّل أن تعيش حياتك دون أن تشعر بالخوف!😳
لا تخاف من الأماكن الخطرة، ولا من الحيوانات المفترسة، ولا حتى من المواقف التي تهدد حياتك! 😮
•• هل يمكن أن يكون هناك شخص لا يشعر بالخوف فعلًا ؟🤔
🔴 وما الذي يحدث داخل دماغه ؟❗
#زينـه_عطيّـه
#عدسة_طالب_طب
https://www.facebook.com/share/p/1BHSW6Ryuw/
🚨 ليس كل من بدا مخمورًا... قد شرب الكحول.
تخيّل أن يخبرك الطبيب أن جسدك يُنتج الكحول من تلقاء نفسه... رغم أنك لم تتناول قطرةً واحدة⁉️
ليس مشهدًا من فيلم، ولا خدعة، ولا خطأً في التحاليل.
بل حالة طبية نادرة قد تجعل وجبةً غنيةً بالكربوهيدرات، أو حتى قطعة خبز، سببًا في ارتفاع مستوى الكحول في الدم ❗️
فكيف يمكن للأمعاء أن تتحول إلى ما يشبه "مصنعًا" لإنتاج الكحول❓ وهل يمكن أن يُتَّهم شخص بالسُّكر وهو بريء تماما ❓
اترك …
😱8❤6👍5
Showing the 12 most recent of 65 posts we hold for @lenstaleb. 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 — 91,281 of 1,601,189entries 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 22 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Dopamine Clinical @Dopamine_Clinical2025 · 56,231 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 23 August 2026
سماعة حكيم الإعلامية @sma3ah · 59,693 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 22 August 2026
المنصة السورية @PlatformSyria · 70,669 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 20 August 2026
الأدوية السورية Up To Date @syrdrugs · 88,255 Telegram ranks this channel #7 of 73 here — alongside 72 others — read 17 August 2026
وزارة التعليم العالي والبحث العلمي السورية @SyMOHEASR · 147,934 Telegram ranks this channel #9 of 74 here — alongside 73 others — read 12 August 2026
علوم للجميع @t_3lom4all · 132,723 Telegram ranks this channel #24 of 73 here — alongside 72 others — read 13 August 2026
Learn English Everyday @learningEnglish00 · 106,542 Telegram ranks this channel #45 of 88 here — alongside 87 others — read 15 August 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 August 2026 — this
entry's latest reading, not the date you are reading this.
“عدسة طالب طب” (@lenstaleb), 59,002 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/lenstaleb.
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.