Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 13 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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
9 measurements spanning 26 days, net -42. 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 4,080–4,134 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:58
4,086
-6
14 Sept 2026, 02:42
4,092
-9
10 Sept 2026, 14:56
4,101
-4
5 Sept 2026, 11:16
4,105
-11
1 Sept 2026, 20:14
4,116
-2
30 Aug 2026, 06:05
4,118
-3
27 Aug 2026, 14:33
4,121
-6
24 Aug 2026, 14:13
4,127
-1
23 Aug 2026, 04:45
4,128
first reading
Engagement
20 posts held, back to 22 November 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
5.56%
avg views ÷ 4,086 subscribers
Avg views / post
227
1 post measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 22 August 2026
Posts held
20 (22 November 2025 – 22 August 2026)
Views total
227
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Aug 2026, 04:45 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.
What this channel posts
Video runtime
1m 40s
Average length
50s
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
138 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 92.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
128
92.8%
👏
4
2.90%
🥰
4
2.90%
👍
1
0.725%
🔥
1
0.725%
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 16 of the 20 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 138 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 November 2025 to 22 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.
منذ 3 سنوات، أحمد حسين مو مجرد ممثل لمنصة أثر التعليمية في جامعة البيان…
أحمد واحد من الأشخاص اللي كانوا جزء من مسيرتنا، ووقفوا ويانا خطوة بخطوة. 🤍
واليوم، أحمد بدأ خطوة جديدة بحياته وفتح مشروعه الخاص @volt.sttore
وإحنا نؤمن أن دعم الأشخاص اللي وقفوا ويانا واجب، مو مجرد مجاملة.
لأن النجاح الحقيقي مو بس نوصل إحنا…
النجاح الحقيقي أن نشوف الأشخاص اللي مشوا ويانا، وهم يحققون أحلامهم.
نتمنى لأحمد كل التوفيق والنجاح، وإ…
https://www.instagram.com/stories/dramiralmhmoud/3953763956300505319/
شوفوا الجمال المنتظركم 🙏💐❤️🩹 👆
ملازم الكورس دا اشتغلهن من افضل المصادر العلمية بيهن كميات معلومات هائلة 🫂 ساعات العمل متواصلة 🥺 الجوده راح تكون فولل ❤️🩹 .
قريباً soon 😪😻
شتتوقعون عن شنو الكورس راح يكون 🙃؟
https://www.instagram.com/stories/dramiralmhmoud/3949153325165333129?utm_source=ig_story_item_share&igsh=eXpiazNpczZ0bTV6
جاي اشتغللكم على كورس راح يكون دماااار 💣💣💯💢دماااررررر 🥰 .
راح يرجع حبكم لختصاصكم ان شاء الله 🙏 و راح يكون كلش لطيف و تتونسون بي 🥰
طبعاً اعتمدت بي على افضل المصادر العلمية بالعالم اللي اتخص قسمكم التحليلات . ،
كتبولي شتتوقعون ؟ عن شنو راح يكون 🙃😍
دخلوا للرابط 👆👆👆
عمل عظيم ينتظركم 😇💯
اجاك التدريب الصيفي وتحس ما جاي تستفاد 👀
هذا افضل كورس عملي راح تشوفه لان راح تتحول من طالب يعرف المعلومة إلى مختبري يكدر يطبقها باحتراف.📌
ليش هذا افضل كورس؟📣
لان باشراف مباشر من الدكتور سراج حيدر الكلابي رئيس منظمة اشراقة علمية المعتمدة من رئاسة الوزراء ووزارة التعليم 🥰
وبالتعاون المميز مع سلسلة مختبرات بايولاب الدولية صاحبة الاعتمادات العالمية بالاضافة عدهم اكثر من 30 فرع بالاردن والسعودية والعراق 🎁
احجز مقعدك ا…
نتقدم بأطيب التهاني والتبريكات لجميع أبناء شعبنا والأمة الإسلامية، سائلين الله أن يديم علينا نعمة الأمن والمحبة والتآخي، وأن يجعل أيامنا عامرة بالخير والعلم والعطاء.❤️
https://t.me/ScientificLuminosityorg
تُقيم منظمة إشراقة علمية بالتعاون مع جامعة المستقبل ورشة تدريبية عملية بعنوان أساسيات التحليلات المرضية، موجهة لطلبة وخريجي المجموعة الطبية، مع تطبيق عملي لكل مشارك.
التفاصيل:
📍 الموقع: جامعة المستقبل الأهلية (مقابل جامعة بابل)
📅 التاريخ: الثلاثاء 31 / 3 / 2026
⏰ الوقت: الساعة 10:00 صباحًا
محاور الورشة:
جمع العينات
سحب الدم (Capillary & Venipuncture)
تحليل Blood Smear
فحص البول (Physical & Microscopic)
تحليل PCV و …
عيد سعيد عليكم اجمعين 🙏
نسأل الله ان يَمُن على المسلمين بالصبر و العافية ، و يوحد صفوفهم لما فيه خير .
اللهم ارحم شهدائنا من القوات الامنية و الحشد الشعبي ، و ارحم شهداء المسلمين في جميع بقاع الارض .
(وَإِنْ تَتَوَلَّوْا يَسْتَبْدِلْ قَوْمًا غَيْرَكُمْ)
استوقفتني اليوم هذه الاية من كتاب الله .
و الاية الاخرى
(كنتم خير أمة أخرجت للناس)
فبعد ان كان العربي يفتخر بعروبته ، اليوم اصبحنا محل ذل و اهانه ، فنسأل الل…
الْحَمْدُ لِلَّهِ الَّذِي أَعَانَنَا فَصُمْنَا ، وَ رَزَقَنَا فَأَفْطَرْنَا
أسأل الله أن يملأ قلوبكم طمأنينة، وبيوتكم سعادة، وأن يكتب لكم فيه دعوات مستجابة وأيامًا مباركة.
الدكتور سراج حيدر الكلابي ❤️
ندعوكم جميعا لمتابعة الحساب الرسمي
لمنظمة اشراقة تعليمية على الانستكرام 📷
منظمة إشراقة هي منظمة غير حكومية تهدف الى تمكين الشباب وتطوير المهارات العلمية والعملية بإشراف نخبة من المختصين وبادارة رئيسها الدكتور سراج حيدر الكلابي
المنظمة معتمدة من رئاسة الوزراء ووزارة التعليم العالي ومتعاونة مع وزارة الصحة 🇮🇶✅️
مستقبلا ستكون هناك الكثير من الورشات والندوات التدريبية المجانية في مختلف محافظات العراق مع منح شهادات معتمدة…
❤4
Showing the 12 most recent of 20 posts we hold for @medanalyst. 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.
Polls
The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
سلام عليكم شرح كامل لتحليل CBC
🔬 نظري + قراءة النتائج + تحليل النقاط المهمة
🧪 تطبيق عملي وتصوير داخل المختبر بشرح مضبوط 💰 السعر: 6,000 دينار فقط 📌 في حال وجود عدد جيد من المصوتين، راح نباشر بالفكرة
نعم اشترك54%
لا غير مفيد46%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
اتحبون انزللكم محاضرة عن الغدة الدرقية ..... راح انركز بية على التعبير المختبري (laboratory interpretation ) . و هذا هو نقطة تميز المحلل 💯 عن باقي اقرانه
اي93%
لا7%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 22 November 2025 to 22 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
الاعلامي محمد الكنانيIQ @ok_1m · 22,356 Telegram ranks this channel #55 of 68 here — alongside 67 others — read 20 September 2026
الامتحان التقويمي @Drnaeemyasir · 56,496 Telegram ranks this channel #67 of 91 here — alongside 90 others — read 23 August 2026
This channel appears in 2 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“( المحلل الطبي ) ( الخريجين )” (@medanalyst), 4,086 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/medanalyst.
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.