#TalabaFikri 🇺🇿 “Eng innovatsion g‘oya” respublika tanlovining universitet bosqichi g'olibi Fizika fakulteti, Fizika yo‘nalishi 4-bosqich talabasi Muhammad Abdumutalov 📱Facebook 📱Instagram 📺YouTube 🌐 Linkedin 🕊Telegram
❤10👏4

Channel
@nuu_uz
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cross-platform identity · Cite this entry
16,028subscribers
+3,010 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001176835496 |
|---|---|
| Type | Channel |
| Username | @nuu_uz |
| Created | 24 January 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/nuu_uz |
Local community — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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 the other topics.
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.
Posts published here appear in near-verbatim form on 2 other registered channels. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @nuu_uz/29708 · this entry21 Aug 2026, 07:29 UTC | @milliy_universitut/657721 Aug 2026, 10:26 UTC | 0.94 | 3.0 hours |
| @nuu_uz/31583 · this entry10 Nov 2026, 11:21 UTC | @milliy_universitut/694710 Nov 2026, 13:28 UTC | 0.94 | 2.1 hours |
| @nuu_uz/29895 · this entry29 Aug 2026, 10:24 UTC | @milliy_universitut/664629 Aug 2026, 14:37 UTC | 0.94 | 4.2 hours |
| @nuu_uz/29572 · this entry10 Aug 2026, 14:46 UTC | @milliy_universitut/649710 Aug 2026, 15:55 UTC | 0.93 | 68 minutes |
| @nuu_uz/29630 · this entry16 Aug 2026, 10:47 UTC | @milliy_universitut/652016 Aug 2026, 10:53 UTC | 0.90 | 7 minutes |
| @eduuz/5085626 Aug 2026, 14:31 UTC | @nuu_uz/29818 · this entry26 Aug 2026, 17:34 UTC | 1.00 | 3.1 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @milliy_universitut | 5 (5/5 hand-verifiable sample passed) | 0.93 | 2.1 hours | this entry (5–0) |
| @eduuz | 5 (5/5 hand-verifiable sample passed) | 1.00 | 34 minutes | @eduuz (5–0) |
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. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 126 comparable posts for this entry, running 4 August 2026 to 11 November 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.
Recorded under the keys clone_copy · clone_source, last confirmed 12 November 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 06:49 | 16,028 | -43 |
| 10 Nov 2026, 02:44 | 16,071 | -17 |
| 8 Nov 2026, 16:17 | 16,088 | -18 |
| 7 Nov 2026, 13:11 | 16,106 | -9 |
| 6 Nov 2026, 10:40 | 16,115 | -12 |
| 5 Nov 2026, 11:30 | 16,127 | -24 |
| 4 Nov 2026, 08:47 | 16,151 | -13 |
| 3 Nov 2026, 09:56 | 16,164 | -15 |
| 2 Nov 2026, 10:19 | 16,179 | -18 |
| 1 Nov 2026, 07:05 | 16,197 | -19 |
| 31 Oct 2026, 06:21 | 16,216 | -13 |
| 30 Oct 2026, 05:49 | 16,229 | -12 |
| 29 Oct 2026, 04:26 | 16,241 | -14 |
| 28 Oct 2026, 05:56 | 16,255 | -15 |
| 27 Oct 2026, 04:00 | 16,270 | -4 |
| 26 Oct 2026, 04:06 | 16,274 | -9 |
| 25 Oct 2026, 04:10 | 16,283 | -16 |
| 24 Oct 2026, 07:10 | 16,299 | +1 |
| 23 Oct 2026, 10:15 | 16,298 | -20 |
| 22 Oct 2026, 07:16 | 16,318 | first reading |
130 posts held, back to 4 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 70 pages of Telegram’s post history, 20 posts per page.
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 33 of 36 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 130 (4 August 2026 – 11 November 2026) |
| Views total | 90,482 |
| Reactions total | 304 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 06:32 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.
Measured directly from 40 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.
1,624 reactions across 124 posts, in 8 distinct kinds. The most used accounts for 57.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 929 | 57.2% | |
| 👍 | 302 | 18.6% | |
| 🔥 | 144 | 8.87% | |
| 👏 | 84 | 5.17% | |
| 😁 | 83 | 5.11% | |
| 🎉 | 43 | 2.65% | |
| 🤩 | 21 | 1.29% | |
| 🙏 | 18 | 1.11% |
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 124 of the 130 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 1,624 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 130 most recent posts we hold, published 4 August 2026 to 11 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nuu_uz. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 130 most recent posts we hold for this entry, published 4 August 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 1 of 36 posts held from the last 30 days (2.78%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#TalabaFikri 🇺🇿 “Eng innovatsion g‘oya” respublika tanlovining universitet bosqichi g'olibi Fizika fakulteti, Fizika yo‘nalishi 4-bosqich talabasi Muhammad Abdumutalov 📱Facebook 📱Instagram 📺YouTube 🌐 Linkedin 🕊Telegram
❤10👏4
“Eng innovatsion g‘oya” respublika tanlovining universitet bosqichi bo‘lib o‘tdi 🇺🇿 O‘zbekiston Milliy universitetida “Eng innovatsion g‘oya” respublika tanlovining universitet bosqichi bo‘lib o‘tdi. Tanlovdan ko‘zlangan asosiy maqsad talaba-yoshlarning ilmiy salohiyatini qo‘llab-quvvatlash, ularning innovatsion fikrlashi va ijodiy tashabbuslarini rag‘batlantirish, istiqbolli loyihalarini amaliyotga tatbiq etishga k…
❤5
🔻 “Eng innovatsion g‘oya” respublika tanlovining universitet bosqichi bo'lib o'tmoqda 🔺Ayni vaqtda O‘zbekiston Milliy universitetida “Eng innovatsion g‘oya” respublika tanlovining universitet bosqichi bo‘lib o‘tmoqda. 🔺Unda 21 nafar talaba o‘zlarining innovatsion g‘oyalari, ilmiy ishlanmalari, loyihalari va ixtirolari bilan ishtirok etmoqda. 📱Facebook 📱Instagram 📺YouTube 🌐 Linkedin 🕊Telegram
❤5🔥2
KASABA UYUSHMALARI KUNI MUNOSABATI BILAN FAOL XODIMLAR TAQDIRLANDI 🇺🇿 O‘zMUda 11-noyabr – O‘zbekiston kasaba uyushmalari kuni munosabati bilan bayram tadbiri tashkil etildi. Unda universitetda kasaba uyushmasi faoliyatini rivojlantirish, xodimlarning ijtimoiy-iqtisodiy manfaatlarini himoya qilish hamda jamoat ishlarida faol ishtirok etib kelayotgan professor-o‘qituvchi va ishchi-xodimlar e’tirof etildi. 🔺Ta’kidlash…
❤5👍5
Özbekiston ziyolilari umumiy maqsad yölida birlaşmoqda Mustaqil Özbekiston tarixida ilk bor 10-14-noyabr kunlari Qoraqalpoğiston Respublikasi, viloyatlar va Toşkent şahrida “Özbekiston ziyolilari kengaşi”ning hududiy yiğilişlari ötkaziladi. Bu yiğilişlar “Yangi Özbekiston ziyolilari – milliy yuksaliş tayançi” şiori ostida ilm-fan, ta’lim, tibbiyot, adabiyot, madaniyat va boşqa sohalar vakillarini birlaştiradi. Maq…
Fizika fakultetida targ‘ibot uchrashuvi o‘tkazildi 🇺🇿 Mirzo Ulug‘bek nomidagi O‘zbekiston Milliy universitetida Fizika fakulteti talabalari ishtirokida “Jaholatga qarshi ma’rifat bilan kurash!” mavzularida davra suhbati tashkil etildi. Tadbirda O‘zMU prorektori Tunis Hojiyev, Toshkent shahar “Ma’rifiy targ‘ibot markazi” bosh mutaxassisi Mirzoniyoz domla Rajabiy, O‘zbekiston Respublikasi Din ishlari bo‘yicha qo‘mit…
❤5🔥1
❗️❗️❗️❗️❗️ 🗣“Eng faol yil talabasi – 2026” respublika tanloviga start berildi. 🇺🇿 Ta’lim va ilm-fan vazirligi Talaba-yoşlar bilan işlaş markazi tomonidan Madaniyat vazirligi, Yoşlar işlari agentligi, Fanlar akademiyasi hamda Özbekiston Badiiy akademiyasi bilan hamkorlikda “Eng faol yil talabasi – 2026” respublika tanlovi e’lon qilindi. 🔹Tanlovda oliy ta’lim muassasasida uzluksiz (akademik ta’tilsiz) kunduzgi ta’li…
❤10
#XorijiyTalabaFikri Abdullayev Asadbek, Biologiya va ekologiya fakulteti talabasi (Turkmaniston) 🇺🇿 O‘zbekiston Milliy universitetida xorijiy talabalar o‘rtasida tashkil etilgan Sport musobaqalari haqida xorijiy talaba fikri. 📱Facebook 📱Instagram 📺YouTube 🌐 Linkedin 🕊Telegram
❤5🔥5🤩1
“SPORT BIZNI BIRLASHTIRADI!” SHIORI OSTIDA MUSOBAQALAR START OLDI 🇺🇿 Mirzo Ulug‘bek nomidagi O‘zbekiston Milliy universitetida xorijiy talabalar o‘rtasida “Sport bizni birlashtiradi!” shiori ostida sport musobaqalariga start berildi. 🔺Mazkur tadbir turli mamlakatlardan kelib, universitetda tahsil olayotgan yoshlarni sport orqali birlashtirish, ular o‘rtasida do‘stlik va hamjihatlik muhitini mustahkamlashga qaratilg…
❤2
🍁 O‘zMUda betakror kuz! 🍂 Kuz — tabiatning eng go‘zal manzaralari, sokinlik va xotirjamlik mujassam bo‘lgan fasl. O‘zbekiston Milliy universitetida tillarang tusga kirgan daraxtlar, yerga gilamdek to‘shalgan yaproqlar o‘zgacha bir go‘zallik kasb etadi. 🍁 Bu manzaralardan bahra olar ekansiz, kuzning mayin shabadasi, yaproqlarning shitirlashi va tabiatning betakror jilosi qalbingizga huzur bag‘ishlaydi. Zero, O‘zMUda…
❤25🔥5👏3
Ta’limga umrini, el-yurt ravnaqiga bor kuch-g‘ayratini baxshida etgan, Zahmatkash Ustoz, hurmatli Inom Urishevich! Tavallud ayyomingiz muborak bo‘lsin! Inson umrining mazmuni uning bosib o‘tgan saodatli yo‘llari, el-yurt hayotida qoldirgan izlari bilan belgilanadi. Sizning ilm-fan va ta’lim taraqqiyoti yo‘lidagi mehnatingiz, ko‘plab insonlar hayotiga daxldor ezgu sa’y-harakatlaringiz ana shu umr mazmunining yorqin …
❤35👏12👍7😁6🤩1
🇺🇿 O‘zbekiston Milliy universitetida jismoniy tarbiya va sport sohasidagi innovatsion yondashuvlar muhokama qilindi 📱Facebook 📱Instagram 📺YouTube 🌐 Linkedin 🕊Telegram
Showing the 12 most recent of 130 posts we hold for @nuu_uz. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
We recorded 1 post on @nuu_uz as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 44 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
@nuu_uz named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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.
This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | National University of Uzbekistan named after Mirzo Ulugbek |
|---|---|
| Description | private university in Tashkent, Uzbekistan |
| YouTube | UCwaJR8FvYbH4ZbyL3K0rk1g |
| Official site | http://www.nuu.uz/ |
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“O'zMU | Rasmiy kanal” (@nuu_uz), 16,028 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/nuu_uz.
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.