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 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
8,330 average views per post against 21,091 subscribers — an engagement rate of 39.5%. Across the 3,256 registered channels in the same cohort — 10,004–31,617 subscribers, posting mainly in Arabic — the middle half sit between 2.04% and 9.70%, with a median of 4.88%.
What this was computed from
Window
30 days (26 August 2026 – 25 September 2026)
Posts measured
12 of 12 published in the window (0 exact, 12 rounded by Telegram)
Views totalled
99,930
Mature posts only
41.9% over 11 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 25 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
4 measurements spanning 4 days, net +211. 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 20,848–21,123 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 10:57
21,091
+91
15 Sept 2026, 12:59
21,000
+80
13 Sept 2026, 21:38
20,920
+40
13 Sept 2026, 03:22
20,880
first reading
Engagement
16 posts held, back to 22 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
39.5%
avg views ÷ 21,091 subscribers
Avg views / post
8,330
12 posts measured
Reaction rate
0.386%
reactions ÷ views · ER floor
Posts in window
12
of 16 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 12 September 2026
Posts held
16 (22 August 2026 – 12 September 2026)
Views total
99,930
Reactions total
386
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Sept 2026, 03:22 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.
What this channel posts
Video runtime
4m 20s
Average length
4m 20s
Measured directly from 1 video 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
460 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 77.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
357
77.6%
💔
35
7.61%
👍
34
7.39%
👏
13
2.83%
🤩
8
1.74%
😢
6
1.30%
🔥
4
0.87%
😎
2
0.435%
🎉
1
0.217%
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 16 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 460 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 22 August 2026 to 12 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.
🚀 كل ما يخص الجامعة الافتراضية السورية (SVU) في مكان واحد!
هل أنت طالب جديد أو قديم وتبحث عن إجابات واضحة؟ 🎓✨
في هذه القناة، سنشرح لك كل شيء خطوة بخطوة:
🔹 خطوات التسجيل والمفاضلة للأقسام كافة.
🔹 آلية الامتحانات، توزيع العلامات، والوظائف.
🔹 متابعة يومية لأهم الإعلانات والقرارات الرسمية.
اشترك الآن واختصر على نفسك عناء البحث:
https://whatsapp.com/channel/0029VbE1cKoCMY0FpcWzxD2E
قناة أخبار الجامعة الافتراضية غير الرسمية :
https://t.me/svuonlineTic
مجموعة نقاشات الطلاب بكافة الاختصاصات :
https://t.me/svuonlineT
المعهد التقاني للإدارة الهندسية والرقمنة:
https://t.me/TIEMD_m
تابع قناة الجامعة الافتراضية السورية في واتساب:
https://whatsapp.com/channel/0029VbE1cKoCMY0FpcWzxD2E
تم صدور القرار رقم /740/ والمتضمن اعتماد دليل لتنظيم الاستخدام المسؤول لتطبيقات الذكاء الاصطناعي في العملية التعليمية و البحثية ضمن الجامعة الافتراضية السورية
https://svuonline.org/ar/news/8374
#الجامعة_الافتراضية_السورية
تم تحديد مواعيد اختبار القبول في اللغة الإنكليزية (PT) للطلاب المتقدمين إلى مفاضلة برامج الماجستر للفصل ربيع 2026 (S26) وذلك للطلاب الذين أتموا عملية الدفع بنجاح ضمن المراكز الداخلية والخارجية.
كافة التفاصيل عبر الرابط:
https://www.svuonline.org/ar/news/8373
#هام
معدلات القبول في الجامعة الافتراضية السورية فصل (S26) :
إجازة في كلية الهندسة المعلوماتية 80%
إجازة في كلية هندسة المدن الذكية 72%
إجازة في كلية تقانة المعلومات 70%
إجازة في كلية الحقوق 70%
إجازة في كلية علوم الإدارة 70%
إجازة في كلية تقانة الاتصالات 65%
إجازة في كلية إدارة الموارد البشرية 65%
المعهد التقاني لإدارة الأعمال 65%
المعهد التقاني للحاسوب 60%
المعهد التقاني للعلوم السياحية والفندقية السياحة 50%
الم…
#هام
تعلن الجامعة الافتراضية السورية عن صدور نتائج مفاضلتها لفصل ربيع 2026 (S26) لجميع برامج الجامعة للطلاب الذين استكملوا أوراقهم الثبوتية إلكترونياً حتى تاريخ 7/9/2026
كافة التفاصيل عبر الرابط :
https://svuonline.org/ar/news/8371
#الجامعة_الافتراضية_السورية
تعلن الجامعة الافتراضية السورية عن بدء التسجيل الإلكتروني الذاتي على المقررات الدراسية لفصل خريف 2025 (ٍF25) للطلاب القدامى والمستنفذين في برامج الإجازة في الهندسة المعلوماتية وتقانة المعلومات وتقانة الاتصالات والإجازة في علوم الإدارة والإجازة في العلوم السياحية والفندقية والمعهد التقاني لإدارة الأعمال، والمعهد التقاني للحاسوب والمعهد التقاني للعلوم السياحية والفندقية والمعهد التقاني للإدارة الهندسية والرقمنة والاجاز…
صدور القرارات /12/ - /13/ - /14/ والمتضمنة الموافقة على إحداث برامج أكاديمية جديدة تلبي احتياجات سوق العمل : - برنامج الإجازة في التكنولوجيا المالية - برنامج المعهد التقني للابتكار الصناعي - برنامج المعهد التقني للابتكار لزراعي.
#الجامعة_الأفتراضية_السورية
القرار رقم /239/ والمتضمن بتكليف مشرف فني لقسم البنية التحتية للشبكات والاتصالات في الجامعة الافتراضية السورية
تم صدور القرار رقم /239/ والمتضمن بتكليف مشرف فني لقسم البنية التحتية للشبكات والاتصالات في الجامعة الافتراضية السورية
وبموجب هذا القرار، يُعد المهندس فراس الشبعاني المرجعية الفنية والإدارية المختصة في هذا المجال، ويتولى الإشراف الفني والإداري على مهندسي وفنيي الشبكات والشركات المتعاقد معها، ومتابعة جاهزية و…
القرار رقم /219/ المتعلق بتشكيل فريق برمجي لإعداد وتجهيز (نظام إدارة دورة خياة العقود ECLMS)
القرار رقم /219/ المتعلق بتشكيل فريق برمجي لإعداد وتجهيز (نظام إدارة دورة خياة العقود ECLMS) ،
ويهدف النظام إلى أتمتة وإدارة جميع العمليات المتعلقة بالعقود منذ مرحلة طلب العقد والمراجعة والاعتماد والتنفيذ ومتابعتها مالياً وإدارياً.
#الجامعة_الأفتراضية_السورية
Showing the 12 most recent of 16 posts we hold for @svuonlineTic. 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 24 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Remotely Jobs | Syria 🌍 UAE | Online ️️ | Vacancy | فرص عمل عن بعد | @jobs963 · 26,310 Telegram ranks this channel #34 of 75 here — alongside 74 others — read 13 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“الجامعة الافتراضية السورية” (@svuonlineTic), 21,091 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/svuonlineTic.
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.