3 measurements spanning 9 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 2,226–2,228 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Sept 2026, 11:55
2,226
-2
18 Sept 2026, 12:22
2,228
no change
18 Sept 2026, 11:47
2,228
first reading
Engagement
13 posts held, back to 1 December 2025 — 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
6.74%
avg views ÷ 2,226 subscribers
Avg views / post
150
4 posts measured
Reaction rate
2.67%
reactions ÷ views · ER floor
Posts in window
4
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 September 2026
Posts held
13 (1 December 2025 – 6 September 2026)
Views total
600
Reactions total
16
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
18 Sept 2026, 12:22 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
61 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 82.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
50
82.0%
🔥
5
8.20%
⚡
4
6.56%
🥰
2
3.28%
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 61 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 1 December 2025 to 6 September 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.
أتمنى للجميع التوفيق، وأن يصل كل واحد منا إلى المكان الذي يليق بتعبه وأحلامه.
✨ونحنُ بـدورنـا ، نُبـارك للـدكتـور هاني تخـرُّجـه وتفـوقـه ونشكـره عـلـى هـذا اللـقاء الـرائـع ونتـمنـى لـه كُـل التـوفـيق فـي مسـيرتـه العـلميّـة والمهـنيّـة ❤️🙏
💎كان في الإعداد العدسة :
محمد اياد الخيوتي.
💎وفي التحرير والتنسيق العدسة :
لـور عمـاد خليـل.
💎 الصورة من تصميم العدسة :
رنيم أبو طارة.
#عدسة_طالب_طب
#نقلاً_عن_عدسة_طالب_طب
#ريفيوبوس
#تجارب_الأوائل 🥇🎓
#أعلام_من_كليتنا ~ #لقاء_شرف 🌸
#جامعة_حمص || #كلية_الطب_البشري ❤️
✨ حظيَ #فريق_العدسة بلقاء الدكتور #هاني_جورج_نصور ، الحائز على المرتبة الأولى على مستوى جامعة #حمص و #الأول_على_مستوى_القطر 🔥 في #الامتحان_الطبي_الموحد بعلامة قدرها #98%🎓
📎 #الـتـعريــف_والـنشــأة :
⭕️ عرفـنا عن نفســك بالبدايـة .. موالـيــدك . ونشــأتك .. عائـلتـك :
أنا هاني جورج نصور من مواليد …
MedBoss ∆ Latakia_Team 2025 pinned «-- مسا الخير دفعة 2025 -- - طمنونا كيف كان تقديم الكتلة الأولى؟! والي درس من الريفيو يراسلنا عالبوت يخبرنا كيف كان التقديم 😄 🔻بوت التواصل مع الفريق: @MedBossTischreenCommunicationBot ✅ موجود عالقناة بوستات تلخيص و اختبارات من امتحان دفعة 2024 فيكن تحطو بحث…»
-- مسا الخير دفعة 2025 --
- طمنونا كيف كان تقديم الكتلة الأولى؟! والي درس من الريفيو يراسلنا عالبوت يخبرنا كيف كان التقديم 😄
🔻بوت التواصل مع الفريق:
@MedBossTischreenCommunicationBot
✅ موجود عالقناة بوستات تلخيص و اختبارات من امتحان دفعة 2024 فيكن تحطو بحث هاشتاغ باسم المادة وبيطلعلكن البوست / مثال:
https://t.me/MedBossTishreen2024/229
⛔️ ملفات ريفيو الكتلة الثانية متوفرين بالمكاتب ورقي وعالمنصة الكتروني فيكن تستغ…
مرحبا دكاترة ❤️
وصلنا تقريباً لختام الرحلة مر الكتير وضايل القليل
شدّوا الهمة ❤️🔥
نسعى لأن تكون سلسلتنا خالية من الأخطاء ولكن جلّ من لا يخطئ
تصويبات ملفات الريفيوبوس نسخة 2025 👇
ريفيوبوس الداخليات 1:
ص 67
الخطأ العنوان داخل الجدول ❌
التصويب الأسباب للشائعة للنزف الهضم العلوي الحاد ✔️
ريفيوبوس الداخليات 2:
إضافة فقرتين في قسم الدم (أسفل البوست) تنويه: الفقرتان مهمتان وليستا اضافيتين سقطتا سهواً نتيجة خطأ في ال…
MedBoss ∆ Latakia_Team 2025 pinned «يعطيكون العافية دكاترتنا الغاليين ❤️ شدوا الهمة قرب الامتحان ❤️🔥 للتذكير ملف شمولية ريفيوبوس لدورة تشرين 2024 https://t.me/MedBossTishreen2024/328 بوست شمولية ريفيوبوس لدورة تموز 2025 https://t.me/MedBossTishreen2024/421 مع ملاحظة مهمة: هي شمولية نسخة…»
Showing the 12 most recent of 13 posts we hold for @MedBossTishreen2024. 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
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
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.
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.
الاختصاص في سوريا 🩺 @Specialization_Syria · 23,486 Telegram ranks this channel #82 of 89 here — alongside 88 others — read 18 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“MedBoss ∆ Latakia_Team 2025” (@MedBossTishreen2024), 2,226 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/MedBossTishreen2024.
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.
