Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 25 comparable posts for this entry, running 1 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 4, the earliest publisher we hold is @AgricultureEbb. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
13 measurements spanning 44 days, net -110. 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 5,846–5,989 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:16
5,862
-25
14 Sept 2026, 15:40
5,887
+2
10 Sept 2026, 22:16
5,885
-19
5 Sept 2026, 20:15
5,904
-9
1 Sept 2026, 14:19
5,913
-4
29 Aug 2026, 11:15
5,917
-7
26 Aug 2026, 03:54
5,924
+7
23 Aug 2026, 13:24
5,917
-13
19 Aug 2026, 16:26
5,930
-16
16 Aug 2026, 14:03
5,946
-20
13 Aug 2026, 05:47
5,966
-4
6 Aug 2026, 14:22
5,970
-2
6 Aug 2026, 04:07
5,972
first reading
Engagement
53 posts held, back to 1 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 9 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 53 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
7m 15s
Average length
48s
Measured directly from 9 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
14 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
10
71.4%
👍
2
14.3%
🔥
2
14.3%
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 12 of the 53 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 1 August 2026 to 11 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.
كلية الحاسبات والملتقى الطلابي بجامعة إب يدشنان دوري الرسول الأعظم لكرة القدم
بحضور رئيس قسم تقنية المعلومات د/عادل العفيري
11\8\2026م
28\صفر\1448هـ
كلية الحاسبات
🔴 شاهدوا 👇🟢 يقترب المولد.. وينطلق #غرس_النور في كلية الزراعة 🟢
﴿قُلْ بِفَضْلِ اللَّهِ وَبِرَحْمَتِهِ فَبِذَٰلِكَ فَلْيَفْرَحُوا﴾
أيام تفصلنا عن ميلاد الرحمة المهداة ﷺ 🌟، ومن قلب الحقول والمعامل بجامعة إب، يعلن طلاب كلية الزراعة وعلوم الأغذية بدء التحضيرات والابتهاج بـصاحب المولد.
الأخضر في كليتنا هو نماء وعطاء مستمر، والاحتفال بمولده الشريف هو عهد متجدد لإعمار الأرض وإحياء قيم المصطفى في واقعنا 🌱✨.
📲 التحدي انطلق من …
عُقد اجتماع مناديب الكلية العصرية لمناقشة آليات تنظيم الأنشطة والفعاليات الطلابية وتعزيز المشاركة والتنسيق بين الأقسام والدفعات، حيث تناول الاجتماع التسجيل في الأنشطة والمسابقات والدوري، والاستعداد لفعالية المولد النبوي الشريف واليوم الثقافي، إلى جانب تشكيل اللجان العلمية وهيكلة الطلاب. كما تم التأكيد على أهمية التزام المناديب بالمتابعة والتنسيق والعمل بروح الفريق، بما يضمن تنفيذ الفعاليات بصورة منظمة وأكاديمية تليق …
جامعة إب.. كلية طب الأسنان والملتقى الطلابي يحتفيان بالمولد النبوي ويستقبلان الطلبة المستجدين
برعاية رئيس جامعة إب الأستاذ الدكتور نصر الحجيلي، أقامت كلية طب الأسنان بالتعاون مع ملتقى الطالب الجامعي فعالية احتفائية بالمولد النبوي الشريف، تزامنًا مع استقبال الطلبة المستجدين.
وتناولت الفعالية دلالات المناسبة وأهمية الاقتداء برسول الله صلى الله عليه وعلى آله وسلم، إلى جانب استعراض الأنشطة الطلابية المقرر تنفيذها، وسط …
تتواصل في معهد الصماد التقني الصناعي أعمال التجهيز والإعداد للفعالية المرتقبة التي ستقام في ساحة الرسوم الأعظم داخل حوش المعهد، وسط جهود متواصلة من الكادر الإداري والتعليمي والتدريبي والطلاب والملتقى الطلابي
وقد شهد موقع الفعالية أعمالًا مكثفة شملت تهيئة الساحة، وترتيب الموقع، وتركيب مخيم الفعاليات وكل مستلزمات الفعالية، إلى جانب استكمال كافة الترتيبات الفنية والتنظيمية.
وتتواصل الأعمال بوتيرة عالية وحماس كبير، وال…
أقامت كلية الطب والعلوم الصحية اليوم الثقافي في قسم التغذية السريرية لكلٍ من مستوى اول ومستوى رابع .
وكان اليوم الثقافي بعنوان «وسائل الحصول على العلم ومواصفات من يحملون العلم» من اجل ترسيخ المفاهيم الثقافية وأصول طلب العلم لدى الطلبة، بالإضافة إلى تعزيز المستوى الفكري والإيماني.
الثلاثاء 1448/02/28هـ - 2026/08/11م
جامعة إب
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#كلية_الطب_والعل…
كلية القانون – جامعة إب
الثلاثـاء
28 صفر 1448هـ
11 أغسـطس 2026م
«ضمن الأنشطة التوعوية والتربوية، أقامت كلية القانون بالتعاون مع ملتقى الطالب الجامعي "اليوم الثقافي" لطلاب المستوى الثاني، وذلك في إطار ترسيخ الهوية الإيمانية والاستعداد التوعوي والتنظيمي لاستقبال ذكرى المولد النبوي الشريف.»
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#كلية_القانون
#جامعة_إب
#الملتقى_الطلابي
#اللجنة_الإعلامية
https://…
جامعة إب – كلية القانون
الثـلاثـاء
28 صفــر 1448هـ
11 أغسـطس 2026م
«ضمن التحضيرات الجارية لإحياء ذكرى المولد النبوي الشريف، قام عميد كلية القانون ومسؤول الملتقى الطلابي بالكليه، بالنزول الميداني إلى القاعات الدراسية، حيث قدّما دعوة مباشرة للطلاب وحثّوهم على المشاركة الميدانية، وتم توزيع كشوفات التسجيل للانضمام للجان التنظيمية لإنجاح الفعالية الكبرى.»
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#كل…
كلية القانون – جامعة إب
الثلاثـاء
28 صفـر 1448هـ
11 أغسـطس 2026م
«عقد الملتقى الطلابي بكلية القانون اجتماعاً تنظيمياً لمناقشة سير التحضيرات الخاصة بذكرى المولد النبوي الشريف، واستعراض خطة حصر وتجميع الطلاب المنظمين وتوزيعهم على اللجان الميدانية، ضماناً لرفع جاهزية التنظيم للفعالية المرتقبة.»
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#كلية_القانون
#جامعة_إب
#الملتقى_الطلابي
#اللجنة_الإعلامية
http…
Showing the 12 most recent of 53 posts we hold for @SFIbbCity. 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
Named by 10 registered channels — 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.
الإدارة العامة للتوجيه التربوي(وزارة التربية والتعليم والبحث العلمي) @yeducation2 · 31,167 Telegram ranks this channel #17 of 79 here — alongside 78 others — read 6 September 2026
ملتقى الطالب الجامعي | USF @USFyemen0 · 41,347 Telegram ranks this channel #18 of 84 here — alongside 83 others — read 30 August 2026
الإدارة العامة للإعلام التربوي والقناة التعليمية-اليمن @YemenEducationC · 22,665 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 20 September 2026
همسات ٲطباء...🇵🇸✊🏻💜 @teeb_kasha · 107,901 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 14 August 2026
غزل ، حب ، ستوريات ، أشعار ✨ @ABodabod14 · 41,867 Telegram ranks this channel #70 of 72 here — alongside 71 others — read 29 August 2026
عشوائيات..! @jjjiig · 130,369 Telegram ranks this channel #82 of 84 here — alongside 83 others — read 13 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“الملتقى الطلابي-محافظة إب|SF” (@SFIbbCity), 5,862 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/SFIbbCity.
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.
