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 92% 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
8 measurements spanning 41 days, net +9. 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 871–887 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 05:37
885
+1
8 Sept 2026, 18:21
884
+5
30 Aug 2026, 14:59
879
+4
24 Aug 2026, 10:23
875
+2
16 Aug 2026, 05:46
873
-4
8 Aug 2026, 08:52
877
+1
8 Aug 2026, 01:15
876
no change
7 Aug 2026, 13:10
876
first reading
Engagement
6 posts held, back to 8 January 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 26 January 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
14 reactions across 6 posts, in 4 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%
🔥
1
7.14%
😍
1
7.14%
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 6 of the 6 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 8 January 2026 to 26 January 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.
🇺🇿🇧🇪 O'zMU talabalari Belgiyaning Mons universitetida tahsil oldi
Oʻzbekiston Milliy universitetining ikki nafar talabasi Belgiya Qirolligining nufuzli oliy ta’lim muassasalaridan biri - Mons universitetida (Université de Mons) talabalar mobilligi dasturi asosida tahsil olishni boshladi. Mazkur dastur ikki universitet o‘rtasida yo‘lga qo‘yilgan xalqaro hamkorlik doirasida amalga oshirildi.
OʻzMUning amaliy matemati…
4️⃣4️⃣4️⃣ Barqaror rivojlanish maqsadlari (SDG) asosida tadqiqot olib borish va maqolalarni nashrga tayyorlash
Universitet kengashining qarori hamda THE Impact reytingdagi ko’rsatkichlarni oshirish maqsadida barqaror rivojlanish maqsadlari doirasida ilmiy tadqiqotlarni rivojlantirish, ularni global kun tartibi bilan uyg‘unlashtirish maqsadida onlayn ilmiy-amaliy seminar tashkil etiladi.
Seminar davomida BRMlar bo‘…
🇰🇷 🇺🇿 Koreya xalqaro hamkorlik agentligi (KOICA) vakillari bilan uchrashuv
📺 Joriy yilning 16-yanvar kuni Oʻzbekiston Milliy universitetiga Koreya xalqaro hamkorlik agentligining (KOICA) Oʻzbekistondagi vakolatxonasi tarjimoni Farhod Qobilov, koreyalik mutaxassislar Hyundai NGV katta menejeri (KOICA eksperti) CHOI Kvanwoong, Hyundai NGV katta menejeri (KOICA eksperti) KIM Yongjin tashrif buyurdilar.
🔴Tashrifdan maq…
Universitetning investitsiyaviy jozibadorligini oshirish bo‘yicha seminar-trening.
Bugun, 14-yanvar kuni Xalqaro aloqalar bo‘yicha prorektor Raima Shirinova universitetning barcha kafedra mudirlari hamda kafedralarning investitsiyalar uchun mas’ul xodimlari va o‘qituvchilari uchun “O‘zbekiston Milliy universitetining 2026-yilga mo‘ljallangan investitsiya, grantlari hamda ta’lim eksporti rejasi” ga bag‘ishlangan semi…
💠 Oliygohlarning nufuzini oshirishda o’zaro hamkorlik
O‘zbekiston Respublikasi Prezidentining “O‘zbekiston Respublikasi oliy ta’lim tizimini 2030-yilgacha rivojlantirish konsepsiyasini tasdiqlash to‘g‘risida”gi Farmoni mamlakatda oliy ta’limni tubdan modernizatsiya qilish, uning sifati va raqobatbardoshligini oshirishga qaratilgan muhim strategik hujjat hisoblanadi.
Mazkur Konsepsiyada respublikadagi kamida 10 ta o…
🏆 QS WUR 2026 xalqaro reyting ko’rsatkichlarini oshirish
O‘zbekiston Milliy universitetida xalqaro reytinglardagi pozitsiyalarni mustahkamlash, fakultetlarning ilmiy va ta’limiy salohiyatini global akademik makonda keng targ‘ib etishga qaratilgan chora-tadbirlar izchil davom etmoqda.
Bugun, 8-yanvar kuni universitet rahbariyati tashabbusi bilan xalqaro reytinglarda ishtirok etish masalalariga bag‘ishlangan navbatda…
❤1
Showing the 6 most recent of 6 posts we hold for @xalqaro_reyting_nuuz. 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.
Nodavlat oliy ta’lim tashkilotlari @nodavlat_otm · 61,260 Telegram ranks this channel #44 of 84 here — alongside 83 others — read 15 August 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.
“🌐 Xalqaro aloqalar bo'limi | O’zMU | NUU” (@xalqaro_reyting_nuuz), 885 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/xalqaro_reyting_nuuz.
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.