🇺🇿🏆 “МУСТАҚИЛЛИК КУБОГИ”: СПОРТ — БИРДАМЛИК ВА ҒАЛАБА САРИ! 📘 Ўзбекистон Республикаси давлат мустақиллигининг 35 йиллиги муносабати билан Навоий давлат университети Спорт клуби ташаббуси билан Навоий шаҳрида жойлашган Спорт саройида профессор-ўқитувчилар ҳамда талаба-ёшлар ўртасида “Мустақиллик кубоги” спорт мусобақаси ўтказилди. 🏓 Мусобақа стол тенниси йўналишида ташкил этилиб, унда университет профессор-ўқитувчил…

Channel
NDU - Navoiy davlat universiteti
@NavDU_NavSU
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
8,546subscribers
+645 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001445461491 |
|---|---|
| Type | Channel |
| Username | @NavDU_NavSU |
| Created | 29 July 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/NavDU_NavSU |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 10:40 | 8,546 | +85 |
| 1 Sept 2026, 17:08 | 8,461 | +26 |
| 29 Aug 2026, 10:44 | 8,435 | +51 |
| 26 Aug 2026, 12:52 | 8,384 | +77 |
| 23 Aug 2026, 12:34 | 8,307 | +189 |
| 19 Aug 2026, 13:35 | 8,118 | +148 |
| 16 Aug 2026, 16:56 | 7,970 | +110 |
| 13 Aug 2026, 11:29 | 7,860 | -24 |
| 10 Aug 2026, 06:13 | 7,884 | -14 |
| 6 Aug 2026, 22:26 | 7,898 | -3 |
| 6 Aug 2026, 20:17 | 7,901 | first reading |
Engagement
106 posts held, back to 29 July 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 20 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 17.0%
- avg views ÷ 8,546 subscribers
- Avg views / post
- 1,450
- 71 posts measured
- Reaction rate
- 0.721%
- reactions ÷ views · ER floor
- Posts in window
- 72
- of 106 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 65 of 71 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 106 (29 July 2026 – 28 August 2026) |
| Views total | 103,250 |
| Reactions total | 705 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 17:38 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
- 40m 50s
- Average length
- 2m 16s
Measured directly from 18 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
993 reactions across 97 posts, in 13 distinct kinds. The most used accounts for 35.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 353 | 35.5% | |
| 👍 | 317 | 31.9% | |
| 🎉 | 134 | 13.5% | |
| 👏 | 61 | 6.14% | |
| 🔥 | 38 | 3.83% | |
| 🤩 | 18 | 1.81% | |
| 😍 | 16 | 1.61% | |
| 😢 | 15 | 1.51% | |
| 👌 | 11 | 1.11% | |
| 🤔 | 10 | 1.01% | |
| 🥰 | 10 | 1.01% | |
| 😁 | 9 | 0.906% | |
| 💯 | 1 | 0.101% |
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 98 of the 106 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 993 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 106 most recent posts we hold, published 29 July 2026 to 28 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.
Recent posts
🇺🇿 🤝🇰🇷 Navoiy davlat universiteti va Bucheon universiteti hamkorligi yangi bosqichda 🇰🇷 Bucheon University rektori, professor Han Chyung Suchning taklifiga binoan Navoiy davlat universiteti rektori, professor Muxiddin Kalonov Koreya Respublikasida xizmat safarida bo‘lib, universitetning yangi Sosa kampusi ochilish marosimi hamda global akademik hamkorlikka bag‘ishlangan xalqaro konferensiyada ishtirok etmoqda. 🌐 16…
👍10🤩7❤2🔥1🤔1
Yoshlarni milliy gʻurur asosida tarbiyalashga alohida ahamiyat berishimiz kerak. Milliy gʻurur – insonning qalbini, yuragini, butun vujudini kuch-gʻayratga toʻldiradigan qudratli kuch. Milliy gʻururi bor odam hech qachon yengilmaydi – Shavkat Mirziyoyev Prezident Shavkat Mirziyoyev “Shahidlar xotirasi” yodgorlik majmuasida qatag‘on qurbonlarini yod etish marosimida ishtirok etdi. Tadbirda hayot va kelajakni bilim …
👍5❤3
🇺🇿50 trillion so‘mlik 163 ta obyekt: Prezidentimiz eng ulug‘, eng aziz bayram arafasida yangi quvvatlarni ishga tushirdi. @nsu
❤3👍1🔥1
🎓 Navoiy davlat universitetida “Sport faoliyati: yunon-rum kurashi” ta’lim dasturini maxsus akkreditatsiyadan o‘tkazish bo‘yicha tashqi baholash jarayoni tashkil etildi. 🎙 Navoiy davlat universitetida mazkur bakalavriat ta’lim dasturi bo‘yicha maxsus davlat akkreditatsiyasi doirasidagi tashqi baholash jarayoni o‘tkazildi. ⌨️ Jarayon Zoom platformasi orqali tashkil etilib, unda O‘zbekiston Respublikasi Prezidenti Ad…
👍4❤1
🔠 "Bitiruvchilar sifati indeksi" bo'yicha eng yuqori o‘rtacha natija Navoiy viloyatida qayd etildi Hududlar bo'yicha bitiruvchilar sifati indeksi ballari e'lon qilindi. Bitiruvchilar soni eng ko‘p bo‘lgan Toshkent shahrida indeksning o‘rtacha qiymati 60 ballni tashkil etgan. Eng yuqori o‘rtacha natija esa Navoiy viloyatida 62,5 ball darajasida qayd etilgan. Keyingi yuqori natijalar: ➖Surxondaryo viloyatida 62,1…
❤3🔥1
🔠🔠🔠🔠🔠🔠 ♻️ Navoiy davlat universiteti rektori, professor Muxiddin Kalonovning “INSON KAPITALI – MILLIY TARAQQIYOT KAFOLATI” mavzusidagi maqolasi mamlakatimizning nufuzli nashrlaridan biri — “Xalq so‘zi” gazetasining 2026-yil 26-avgust sonida chop etildi. ➖➖➖➖➖➖➖ ▶️ Maqolada: Yigirmanchi asr o‘rtalariga qadar har bir mamlakatning qudrati uch omil — yer osti boyliklari, ishlab chiqarish salohiyati va moliya zaxiralari…
❤11🎉4👏4🤔1
🇺🇿⚡️Prezident Shavkat Mirziyoyev ishtirokida mamlakatimiz mustaqilligining 35 yilligi munosabati bilan hududlarda umumiy qiymati 50 trillion so‘mlik 163 ta yangi obyektni ishga tushirish marosimi boʻlib oʻtdi. Yangiliklarni biz bilan kuzating Telegram | Instagram | Facebook | YouTube
❤4
Sun’iy intellekt — plagiat emas, vosita Ko‘pchilik so‘raydi: “Sun’iy intellektdan foydalanish plagiat hisoblanmaydimi?” Yo‘q. Sun’iy intellekt bu yordamchi vosita. U fikrni tartibga solish, matnni tahrirlash, g‘oya topish, reja tuzish yoki hisob-kitoblarni tezlashtirishda yordam berishi mumkin. Masalan, ilgari tadqiqotimizga kerak bo‘lgan hisob-kitoblarni Excel orqali tayyorlar edik. Lekin kimdir “Nega tahlilingiz…
👍7❤2👏1
Insonlar borki, Hayotlarimizga kelib, ketadilar... Qaysi biridir o‘z ortidan hech bir iz qoldirmaydi. Qaysi biridir ruhimizni yengilgina bag‘riga bosadi. Qaysi biridir o‘z ortidan g‘am qoldiradi... Insonlar borki, Ichimizga yaxshigina suqulib kiradilar. Oxiri damgacha u yerda qolishini istaymiz... Ba’zilari sarob kabidir. Yo‘qligida ularning xayollari biz uchun haqiqatdir... Insonlar borki, Suv kabi aziz, suv kabi so…
🔥6❤1👏1
⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 🔥 НАВОИЙ ТАЪЛИМДА ЯНА ЛИДЕР! ОЛИЙ ТАЪЛИМГА КИРИШДА РЕКОРД НАТИЖА! 📊Навоий вилояти битирувчиларининг 52,5 фоизи талаба бўлди! Сўнгги 3 йилда мамлакатимиз бўйича давлат олий таълим муассасаларига қабул қилинган битирувчилар сони +3,5 фоизга ошган бўлса, Навоий вилояти рекорд натижа билан республикада мутлақ 1-ўринни эгаллади! 👉 Олий таълимга кириш бўйича TOP-3 ҳудуд: 🥇 Навоий вилояти — 52,5% (ҳар икк…
👍19❤5👏3😍3
Channel photo updated
Showing the 12 most recent of 106 posts we hold for @NavDU_NavSU. 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.
@anticor_navdu · 3144 postsMukhiddin Kalonov
@Muxiddin_Kalonov · 3,1193 postsНавДПИ ректори Баходир Собиров
@NavDPI_rektori · 832 postsIngliz tili va adabiyoti fakulteti
@NSPI_englishfaculty · 1132 posts@NavDU_edu_uz matbuot portfolio
@NavDPI_edu_uz · 3961 post🇺🇿 NavDU_YI 🇺🇿
@NavDU_YI · 12,3561 postSTARTUP GARAGE | NAVOIY
@startup_garage_navoiy · 411 post
Republishes
Channels on the register whose posts this channel has forwarded.
@eduuz · 149,05115 posts🇺🇿 NavDU_YI 🇺🇿
@NavDU_YI · 12,3565 postsMukhiddin Kalonov
@Muxiddin_Kalonov · 3,1194 postsNAVOIY.UZ | Navoiy viloyati hokimligi
@navoiy_hokimligi · 51,9802 postsБГПУ | Белорусский государственный педагогический университет имени Максима Танка
@bspu_official · 9,5831 postDavlat mehnat inspeksiyasi
@Davlat_mehnat_inspeksiyasi · 5,3961 postKitobxonlik madaniyati
@Kitobxonlik_madaniyatii · 9,6521 postBandlik vazirligi
@mehnatvazirligi · 42,1841 postNavoiyliklar I Расмий канал
@NAVOIYLIKLAR_UZB · 110,1451 postNAVOIY YOSHLARI
@Navoiyyoshlari_uz · 5,3071 postTalaba-yoshlar | Rasmiy
@talabayoshlar · 52,3561 postTRT O'zbekiston|Rasmiy kanal
@trt_uz · 5951 postKongratbay Sharipov
@vazirOTFIV · 1,5171 postYoshlar.edu.uz
@yoshlareduuz · 98,6681 post
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 8 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.
@yoshlareduuz · 98,6684 postsNavDU Komplayens nazorat
@anticor_navdu · 3143 posts🇺🇿 NavDU_YI 🇺🇿
@NavDU_YI · 12,3563 postsEdu.uz
@eduuz · 149,0512 postsJizPI online | Jizzax politexnika instituti rasmiy kanali
@jizpi_online · 11,0662 postsXalqaro Innovatsion Universitet
@xalqaro_innovatsion_universiteti · 4,0132 posts@NavDU_edu_uz matbuot portfolio
@NavDPI_edu_uz · 3961 postSTARTUP GARAGE | NAVOIY
@startup_garage_navoiy · 411 post
Names
Channels on the register whose handles appear in this channel's posts.
@eduuz · 149,05128 posts🇺🇿 NavDU_YI 🇺🇿
@NavDU_YI · 12,3568 postsЎткир Раҳмат I O'tkir Rahmat
@Otkir_Rahmat · 11,9264 postsMukhiddin Kalonov
@Muxiddin_Kalonov · 3,1193 postsNAVOIY.UZ | Navoiy viloyati hokimligi
@navoiy_hokimligi · 51,9803 posts“Dolzarb 90 kun” viktorinasi | Rasmiy
@bilimtanlovbot · 36,3842 postsInnovatsiyalar Ofisi
@Innovatsiyalar_ofisi · 2,9692 postsBandlik vazirligi
@mehnatvazirligi · 42,1842 postsBilimni baholash agentligi
@BaholashUz · 201,0181 postBMBA_NATIJA_2026 (RASMIY)
@bmba_natija_1bot · 61,6451 postDaryo — LIVE
@daryo_live · 59,2371 postDavlat mehnat inspeksiyasi
@Davlat_mehnat_inspeksiyasi · 5,3961 postHUDUD - MY5 TV | rasmiy kanal
@hududtv · 3,7771 postKitobxonlik madaniyati
@Kitobxonlik_madaniyatii · 9,6521 postMA'RIFAT TARG‘IBOTCHILAR JAMIYATI
@marifat_jamiyati · 5,3021 postPrezident matbuot kotibi | Sherzod Asadov
@Press_Secretary_Uz · 151,9261 postRost24 | Расмий канал
@rost_24uz · 39,0751 postTalaba-yoshlar | Rasmiy
@talabayoshlar · 52,3561 postO'zbekiston 24 ǀ Rasmiy kanal
@uzbekistan24_tvnews · 16,8831 postXabardor.uz | Rasmiy kanal️
@xabardor_uz_official · 24,7681 postXabar.uz | Расмий хабарлар
@xabaruzofficial · 68,2861 postYANGI DAVR - YOSHLAR TV | Rasmiy kanal
@Yangidavr_rasmiy · 2,3581 postЯНГИ ЎЗБЕКИСТОН |Расмий канал
@yuz_official · 195,0661 postZAMON | RASMIY
@zamon_lavhalar · 4,4911 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@NavDU_NavSU 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 19 August 2026 – 19 August 2026
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.
@navoiy · 50,723
Telegram ranks this channel #20 of 62 here — alongside 61 others — read 22 August 2026
@navoiyda_bugun · 65,174
Telegram ranks this channel #41 of 65 here — alongside 64 others — read 21 August 2026
@NAVOIYLIKLAR_UZB · 110,145
Telegram ranks this channel #43 of 72 here — alongside 71 others — read 15 August 2026
@rabotavuzbekistann · 109,310
Telegram ranks this channel #45 of 50 here — alongside 49 others — read 15 August 2026
@UzbekistanSadosi · 114,679
Telegram ranks this channel #57 of 76 here — alongside 75 others — read 4 September 2026
This channel appears in 5 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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“NDU - Navoiy davlat universiteti” (@NavDU_NavSU), 8,546 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/NavDU_NavSU.
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.