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 19 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 14 days, net -12. 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 4,831–4,859 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 02:55
4,844
+10
14 Sept 2026, 16:19
4,834
-5
11 Sept 2026, 01:37
4,839
-13
6 Sept 2026, 08:57
4,852
-4
4 Sept 2026, 18:22
4,856
no change
4 Sept 2026, 17:47
4,856
first reading
Engagement
20 posts held, back to 30 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
17.5%
avg views ÷ 4,844 subscribers
Avg views / post
848
20 posts measured
Reaction rate
0.219%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 10 of 20 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 4 September 2026
Posts held
20 (30 August 2026 – 4 September 2026)
Views total
16,969
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Sept 2026, 18:22 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
18 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
33.3%
👏
5
27.8%
👎
2
11.1%
🥰
2
11.1%
👍
1
5.56%
💔
1
5.56%
😐
1
5.56%
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 10 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 18 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 30 August 2026 to 4 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.
🟢 #عاجـــــــل | وزير التعليم يعلن استحداث منصة قدم الجامعية للتقديم على الجامعات الحكومية
- ستكون نتائج القبول المركزي من خلال منصة قدم للحفاظ على خصوصية الطالب ولا يمكن لأي شخص معرفة قبول الطالب
- هناك خيار تعديل للاستمارات بشكل يحافظ على قبول الطالب دون ضياع التقديم عليه
- سيتم فتح التقديم خلال فترة اسبوع الى 10 ايام او اقل عند اكتمال الإجراءات الفنية.
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🟢#عاجــــــــل | الوقت المتبقي
تبقَّى 15 يوماً على انطلاق العام الدراسي الجديد في كافة الجامعات الحكومية والأهلية للمراحل فوق الأولى.
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🟢 #عاجـــــــل |وكيل وزارة التعليم يعلن الموافقة على استضافة طلبة المرحلة الرابعة من الدراسة المسائية إلى الدراسة الصباحية للعام الدراسي 2026-2027
اشترك بالقناة الخاصة بالدراسة المسائية:
.https://t.me/vbvb51
🟢 #عاجـــــــل |الأسبوع المقبل موعد إعلان دليل الطالب ودليل شؤون الطلبة في الجامعات الحكومية للعام الدراسي 2026-2027.
بعد إعلان الدليل بايام سيتم فتح التقديم على القبول المركزي في الجامعات الحكومية على تطبيق "منصة قدم"
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🟢 #عاجـــــــل |وزارة التعليم تقرر فتح قناة "حفظة القرآن الكريم" أمام جميع قنوات القبول (المركزي، المسائي، الأهلي، الموازي)، ويستمر التقديم حتى يوم الخميس الموافق 24/9/2026.
يشمل التقديم جميع الطلبة المستمرين في الجامعات الحكومية والأهلية، وكذلك طلبة خريجي السادس الإعدادي.
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🟢 #عاجـــــــل |نقابة أطباء الأسنان: رفع المعدلات كليات طب الاسنان في الكليات والجامعات الأهلية ضرورة ملحة، وتبريرات المعترضين لا تستند إلى الواقع
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🚨 #عــــــــــاجـــــــــــــل | رئيس لجنة التربية النيابية ا.زليخة الياس بخصوص الدخول الشامل :
• ننتظر رد مجلس الوزراء على توصيتنا بخصوص الدخول الشامل
• وإذا رُفضت سنعتذر للطلبة
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🟢 #عاجـــــــل |وزارة الصحة تعلن تعليمات التقديم لمعاهد الصحة العالي للعام الدراسي 2026–2027
● يُقدَّم الطلب إلكترونيًا حصرًا.
● يشترط أن يكون المتقدم خريج الدراسة الإعدادية / الفرع العلمي للعام الدراسي الحالي أو للعام الذي سبقه فقط.
● يُحدَّد أدنى معدل للتنافس على الأقسام العلمية بـ (65%) فأكثر.
● ألا يتجاوز عمر المتقدم (25) خمسًا وعشرين سنة لغاية 10/1.
● يُقتصر التقديم على أبناء المحافظة التي يوجد فيها المعهد،…
وزارة التعليم توافق على تخفيض 30% من الاجور الدراسية لطلبة الدراسات العليا المقبولين على قناة النفقة الخاصة للموسم الدراسي 2026-2027
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
🔴تربية إقليم كردستان تعلن نتائج الدور الثاني لامتحانات السادس الإعدادي للعام الدراسي 2025-2026
https://www.azmwnakan.com
شارك الخبر و اشترك بقناتنا :
https://t.me/vbvb48
Showing the 12 most recent of 20 posts we hold for @vbvb48. 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
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
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“اخبار وزارة التعليم والتربية” (@vbvb48), 4,844 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/vbvb48.
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.