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Channel

🔥 دورات هامة للفحص الوطني DarBoss 🔥

@National_ExamMCQs

On this record: Growth · Engagement · Posts · Citations · Telegram's recommendations · Cite this entry

5,209subscribers

+21 since we began measuring on 20 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002116021091
TypeChannel
Username@National_ExamMCQs
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 August 2026
Last confirmed live8 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/National_ExamMCQs

Growth

5,1865,2095,197.520 August 2026 — 5,188 subscribers20 August 2026 — 5,186 subscribers24 August 2026 — 5,193 subscribers27 August 2026 — 5,189 subscribers30 August 2026 — 5,188 subscribers3 September 2026 — 5,186 subscribers8 September 2026 — 5,209 subscribers20 August 20268 September 2026
7 measurements spanning 19 days, net +21. 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 5,183–5,212 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 19:565,209+23
3 Sept 2026, 10:445,186-2
30 Aug 2026, 22:235,188-1
27 Aug 2026, 15:075,189-4
24 Aug 2026, 06:285,193+7
20 Aug 2026, 12:525,186-2
20 Aug 2026, 08:455,188first reading

Engagement

12 posts held, back to 12 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.30%
avg views ÷ 5,209 subscribers
Avg views / post
172
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
12
of 12 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
WindowRolling 30 days · latest post in window 19 August 2026
Posts held12 (12 August 202619 August 2026)
Views total1,720
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 08:45 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.

Recent posts

19 Aug 2026, 14:16 UTC76 viewsread 20 August 2026
Forwarded from @daralqudsnationalexaminationPhoto

🌟 سمارت ستدي Smart Study 🥇 أول تجربة عربية للدراسة الذكية للامتحان الوطني، تجمع بين الألغاز الطبية، والقصص، والبودكاست، والفيديوهات، والسكيتشات التعليمية، والمفاتيح الذهبية... لتتعلم أسرع، وتتذكر أكثر، وتستمتع أثناء الدراسة. 🤔 ادرس بذكاء... وليس بجهد أكبر. 🤗 لأن أفضل طريقة للنجاح... هي أن تستمتع أثناء الدراسة. 🥰 حوّل أصعب مواد الوطني إلى تجربة ممتعة لا تُنسى. 🧩 ألغاز الوطني ← للتغلب على الملل 📖 حكايا الوطني ← لت

18 Aug 2026, 10:29 UTC136 viewsread 20 August 2026
Forwarded from @daralqudssyrianboardPhoto

📲 جديد تطبيق Q Pretest: 🔺يتم حالياً إضافة دورات البورد النهائي في الداخلية (داخلية عامة - قلبية - هضمية - صدرية - كلية - غدية - دموية - رثوية - عصبية) 🔺حيث سيتضمن كل قسم آخر 3 دورات (على الأقل) مع الأجوبة المؤكدة والشروحات الوافية + نقاط جوهرية امتحانية 🔺 بالتالي تعد الأسئلة مع التعليقات مصدراً مميزاً جداً للتحضير للامتحان. 🔺 كما أن كود البورد يفتح جميع أقسام البورد بما فيها البورد الأول والنهائي والأسئلة الداعم

17 Aug 2026, 18:29 UTC125 viewsread 20 August 2026
Forwarded from @daralqudsnationalexamination

🩺 اكتشف متعة التعلم: الألغاز الطبية (في قسم سمارت ستدي) .... طريقك الأذكى لاجتياز الوطني البشري! هل تشعر بالإرهاق من الحفظ التقليدي وتراكم المناهج استعداداً للامتحان الوطني للطب البشري؟ حان الوقت لتغيير قواعد اللعبة! في تطبيق **Q Pretest**، أخذنا التحضير للامتحان إلى مستوى جديد كلياً من خلال قسم **الألغاز الطبية**. هذا القسم ليس مجرد بنك للأسئلة، بل هو تجربة تفاعلية مصممة خصيصاً لتضعك في قلب الحدث كطبيب محقق، يربط

15 Aug 2026, 21:51 UTC224 viewsread 20 August 2026
Forwarded from @daralqudsnationalexaminationPhoto

لغز طبي ... من قسم سمارت ستدي ... ادرس بذكاء

15 Aug 2026, 21:51 UTC205 viewsread 20 August 2026
Forwarded from @daralqudsnationalexaminationPhoto

لغز طبي ... من قسم سمارت ستدي ... ادرس بذكاء

15 Aug 2026, 21:13 UTC179 viewsread 20 August 2026
Forwarded from @daralqudsnationalexamination

🔵 يمكنكم متابعة صفحتنا على الفيسبوك الخاصة بوطني الطب البشري والتي تعرض أسئلة مهمة بشكل يومي: https://www.facebook.com/daralquds.translate/ 🟣 يمكنكم متابعة صفحتنا على الفيسبوك الخاصة بوطني طب الأسنان والتي تعرض أسئلة مهمة بشكل يومي: https://www.facebook.com/qudsdentistry 🔴 يمكنكم متابعة صفحتنا على الفيسبوك الخاصة بوطني الصيدلة والتي تعرض أسئلة مهمة بشكل يومي: https://www.facebook.com/qudspharma/

14 Aug 2026, 13:01 UTC197 viewsread 20 August 2026
Forwarded from @daralqudsnationalexaminationPhoto

😍 عرض خاص >>> لمدة أسبوع فقط (حتى يوم الجمعة 21 آب) 😍 📌 ميزات التطبيق 📌 تحميل التطبيق 📌 الدفع الإلكتروني 📌 الدعم الفني

13 Aug 2026, 18:06 UTC160 viewsread 20 August 2026
Forwarded from @daralqudsnationalexaminationPhoto

🌟 سمارت ستدي Smart Study 🥇 أول تجربة عربية للدراسة الذكية للامتحان الوطني، تجمع بين الألغاز الطبية، والقصص، والبودكاست، والفيديوهات، والسكيتشات التعليمية، والمفاتيح الذهبية... لتتعلم أسرع، وتتذكر أكثر، وتستمتع أثناء الدراسة. 🤔 ادرس بذكاء... وليس بجهد أكبر. 🤗 لأن أفضل طريقة للنجاح... هي أن تستمتع أثناء الدراسة. 🥰 حوّل أصعب مواد الوطني إلى تجربة ممتعة لا تُنسى. 🧩 ألغاز الوطني ← للتغلب على الملل 📖 حكايا الوطني ← لت

13 Aug 2026, 16:08 UTC216 viewsread 20 August 2026
Forwarded from @daralqudssyrianboardPhoto

🔹 سعر كود البورد مناسب جداً بالنسبة للمحتوى الذي تم بذل مجهود كبير عليه: 🔺 يتضمن الدورات الأخيرة بشكل كامل مع الأجوبة المؤكدة مع الشروحات والتعليقات الوافية للإجابات بشكل مفصل مع نقاط جوهرية امتحانية. 🔺 بالتالي تعد الأسئلة مع التعليقات مصدراً مميزاً جداً للتحضير للامتحان. 🔺 كما أن كود البورد يفتح جميع أقسام البورد بما فيها البورد الأول والنهائي والأسئلة الداعمة. 🔺 وكذلك يفتح الكود الكتب الإلكترونية المفيدة لكل ال

12 Aug 2026, 22:13 UTC202 viewsread 20 August 2026
Forwarded from @daralqudssyrianboardPhoto

🥇 التطبيق الأول للبورد السوري Q Pretest 🔹 مصدر مناسب للتحضير لامتحان البورد الأول والنهائي: دورات البورد - شروحات وتعليقات - أسئلة داعمة - أسئلة مترجمة - نقاط ذهبية 🔹 بالإضافة إلى كل ما يهم الطبيب بشكل عام خلال الممارسة السريرية: المرشد الإسعافي - الأخطاء الشائعة في الطب - تفسير النتائج المخبرية - المعين الدوائي 📌 الاشتراك والدفع الإلكتروني 📌 تحميل التطبيق 📌 الدعم الفني 📌ميزات التطبيق ومحتوياته

Showing the 12 most recent of 12 posts we hold for @National_ExamMCQs. 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

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.

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.

عدسة طالب طب
@lenstaleb · 58,854
Telegram ranks this channel #21 of 83 here — alongside 82 others — read 22 August 2026
سماعة حكيم الإعلامية
@sma3ah · 59,500
Telegram ranks this channel #24 of 77 here — alongside 76 others — read 22 August 2026
🔴 منصة الصحة السورية - MedDose
@meddose · 28,843
Telegram ranks this channel #25 of 62 here — alongside 61 others — read 9 September 2026
ملفات الماني للدكتوره لين
@german90gooo · 31,536
Telegram ranks this channel #46 of 84 here — alongside 83 others — read 6 September 2026
المنصة السورية
@PlatformSyria · 70,249
Telegram ranks this channel #53 of 73 here — alongside 72 others — read 20 August 2026
Dopamine Clinical
@Dopamine_Clinical2025 · 55,921
Telegram ranks this channel #71 of 90 here — alongside 89 others — read 23 August 2026

This channel appears in 6 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“🔥 دورات هامة للفحص الوطني DarBoss 🔥” (@National_ExamMCQs), 5,209 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/National_ExamMCQs.

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.