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 18 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
6 measurements spanning 18 days, net +3. 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 5,293–5,321 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 07:00
5,318
+12
14 Sept 2026, 09:40
5,306
+10
10 Sept 2026, 15:59
5,296
-17
5 Sept 2026, 13:38
5,313
-5
1 Sept 2026, 07:37
5,318
+3
31 Aug 2026, 14:46
5,315
first reading
Engagement
17 posts held, back to 27 August 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.45%
avg views ÷ 5,318 subscribers
Avg views / post
343
17 posts measured
Reaction rate
0.515%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 1 of 17 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 31 August 2026
Posts held
17 (27 August 2026 – 31 August 2026)
Views total
5,834
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Aug 2026, 14:46 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
2 reactions across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🙏
2
100.0%
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 1 of the 17 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 27 August 2026 to 31 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.
تعلن جامعة كربلاء اسماء المقبولين في الدراسات العليا ضمن آلية التدوير بين الجامعات للعام الدراسي 2026-2027
لمعرفة المزيد من المعلومات اضغط على الرابط الاتي:
https://hs.uokerbala.edu.iq/archives/3026
.
#_جامعة_كربلاء
#_قسم_الإعلام_والاتصال_الحكومي
#_رئاسة_الجامعة
____
وزير التعليم العالي يوافق على تخويل الجامعات والكليات والمعاهد صلاحية معالجة نتائج المتقدمين للدراسات العليا
وافق وزير التعليم العالي والبحث العلمي وكالة الدكتور عبد الحسين الموسوي على تخويل مجالس الجامعات والكليات والمعاهد غير المرتبطة بجامعة صلاحية معالجة نتائج المتقدمين للدراسات العليا الحاصلين على درجات تتراوح بين (40–44) درجة في الامتحان التنافسي وذلك بمنحهم درجات إضافية لا تزيد على (5) درجات شريطة توافر مقاعد …
إعلان
تعلن رئاسة جامعة بابل عن أسماء الطلبة المقبولين في الدراسات العليا ضمن الية التدوير بين الجامعات للعام الدراسي 2026–2027 ، وذلك استنادًا إلى كتاب وزارة التعليم العالي والبحث العلمي / دائرة البحث والتطوير / قسم الدراسات العليا المرقم( 1210-83679 في 2026/7/28)
وبناءً على توجيهات رئيس جامعة بابل، وبإشراف مساعد رئيس الجامعة للشؤون العلمية الأستاذ الدكتور محمد منصور الخفاجي، نرفق لكم أسماء الطلبة المقبولين ضمن الأم…
تعلن جامعة كربلاء عن بدء التقديم على السكن الجامعي للعام الدراسي ٢٠٢٦–٢٠٢٧، اعتباراً من يوم الثلاثاء الموافق ١/٩/٢٠٢٦.
وتوضح أن التقديم يشمل طلبة الدراسات الأولية والعليا، علما أن عملية التسجيل تتم إلكترونيا عبر الرابط ادناه 👇
رابط وشروط التسجيل :
https://dorm.uokerbala.edu.iq/الاستمارة-الالكترونية/
#_جامعة_كربلاء
#_قسم_الإعلام_والاتصال_الحكومي
#_رئاسة_الجامعة
____________
إعلان | عودة الطلبة المرقنة قيودهم إلى مقاعد الدراسة
تعلن كلية العلوم / جامعة بابل عن شمول عدد من طلبة الدراسات العليا المرقنة قيودهم بقرار العودة إلى مقاعد الدراسة للعام الدراسي ٢٠٢٦–٢٠٢٧، وذلك استنادًا إلى كتاب وزارة التعليم العالي والبحث العلمي / دائرة البحث والتطوير المرقم (٢٧٠٤٦–١٢١٠) في ٢٠٢٦/٣/٤، وما ورد فيه من ضوابط وتعليمات بشأن معالجة حالات الطلبة المرقنة قيودهم.
وبناءً على ما ورد في الكتاب الوزاري المشار …
📢 إعلان أسماء المقبولين في برامج الدراسات العليا
تعلن الكلية التقنية الإدارية/كوفة عن نشر أسماء المقبولين نهائياً في برامج الدراسات العليا للعام الدراسي 2026–2027، بعد استكمال إجراءات القبول والتدقيق وفق الضوابط والتعليمات المعتمدة.
📌 يمكن للمتقدمين الاطلاع على أسماء المقبولين من خلال الرابط أدناه:
https://docs.google.com/spreadsheets/d/1iMK9UwTQOp0J-MV3hge3FIg56-PZuUIY/edit?usp=drivesdk&ouid=11782994719967038159…
إعلان نتائج التدوير بين الجامعات
أسماء الطلبة المقبولين وغير المقبولين المدورين إلى جامعة القاسم الخضراء / كلية العلوم
تعلن كلية العلوم في جامعة القاسم الخضراء عن نشر أسماء الطلبة المقبولين وغير المقبولين ضمن الوجبة المدورة من الجامعات الأخرى إلى جامعة القاسم الخضراء / كلية العلوم، وذلك بعد استكمال إجراءات التدقيق والمفاضلة وفق الضوابط والتعليمات المعتمدة.
وتدعو الكلية جميع الطلبة المتقدمين إلى الاطلاع على الرابط …
Signed يوسف لقمان
Showing the 12 most recent of 17 posts we hold for @almaktabaalshamila2023. 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.
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.
مرجع الدراسات العليا @mar_wan_1997 · 38,095 Telegram ranks this channel #26 of 84 here — alongside 83 others — read 31 August 2026
تجمع المتقدمين لوظائف مجلس الخدمة العامة الاتحادي العراقي @Se_rviceJobs1 · 24,910 Telegram ranks this channel #77 of 89 here — alongside 88 others — read 15 September 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.
“الدراسات العليا” (@almaktabaalshamila2023), 5,318 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/almaktabaalshamila2023.
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.