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 12 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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.
Growth
26 measurements spanning 95 days, net +1,591. 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 4,396–6,556 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 21:56
6,252
-4
6 Nov 2026, 09:25
6,256
+163
3 Nov 2026, 08:36
6,093
-27
30 Oct 2026, 23:41
6,120
-25
27 Oct 2026, 18:47
6,145
-139
24 Oct 2026, 13:49
6,284
-10
21 Oct 2026, 11:47
6,294
-13
18 Oct 2026, 12:01
6,307
+279
15 Oct 2026, 06:21
6,028
-5
12 Oct 2026, 04:40
6,033
-12
5 Oct 2026, 06:14
6,045
-52
26 Sept 2026, 08:17
6,097
-55
17 Sept 2026, 11:37
6,152
+39
13 Sept 2026, 20:17
6,113
+93
10 Sept 2026, 08:36
6,020
+432
5 Sept 2026, 08:21
5,588
+218
1 Sept 2026, 18:13
5,370
-3
29 Aug 2026, 10:48
5,373
+72
26 Aug 2026, 11:14
5,301
+123
23 Aug 2026, 14:24
5,178
first reading
Engagement
63 posts held, back to 6 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 12 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.52%
avg views ÷ 6,252 subscribers
Avg views / post
533
21 posts measured
Reaction rate
0.461%
reactions ÷ views · ER floor
Posts in window
21
of 63 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 19 of 21 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
63 (6 August 2026 – 6 November 2026)
Views total
11,188
Reactions total
46
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:59 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
5m 40s
Average length
1m 25s
Measured directly from 4 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
167 reactions across 50 posts, in 13 distinct kinds. The most used accounts for 42.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
71
42.5%
❤
49
29.3%
🎉
10
5.99%
👏
9
5.39%
🤩
9
5.39%
🏆
4
2.40%
🔥
3
1.80%
🙏
3
1.80%
🥰
3
1.80%
🕊
2
1.20%
😍
2
1.20%
⚡
1
0.599%
💯
1
0.599%
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 52 of the 63 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 167 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 63 most recent posts we hold, published 6 August 2026 to 6 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 21 posts held from the last 30 days (4.76%) 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).
Oliy taʼlimdagi dolzarb masalalar va ularning yeçimlari muhokama qilindi
Taʼlim va ilm-fan vazirligida davlat oliy taʼlim muassasalari rektorlari iştirokida uçraşuv ötkazildi. Unda oltita asosiy yönaliş — taʼlim sifati va bitiruvçilar bandligi, murojaatlar va ijro intizomi, talabalarning yaşaş şaroitlari, energiya tejamkorligi, xalqaro hamkorlik hamda kadrlar bilan işlaş masalalari körib çiqildi.
Taʼlim sifatini oş…
AYOLLAR ÖRTASIDAGI VOLEYBOL MUSOBAQASI ĞOLIBLARI ANIQLANDI!
Namangan davlat texnika universitetida Kasaba uyuşmasi qömitasi sovrini uçun professor-öqituvçilar va xodimlar örtasida ayollar voleybol musobaqasi ham yakunlandi.
Bellaşuvlarda jamoalar çaqqonlik, sport mahorati va jamoaviy hamjihatlikni namoyon etib, sovrinli örinlar uçun bahslaşdilar.
Yakuniy natijalarga köra:
🥇 1-örin — Iqtisodiyot fakulteti
🥈 2-öri…
NAMDTU TALABALARI — IKKI SOHA, IKKI ISTEʼDOD!
Namangan davlat texnika universitetida turli yönalişlarda tahsil olayotgan yoşlar bilan tanişing!
Zoxidulloh Jalolidinov Zokirjon öğli — Axborot texnologiyalari va sunʼiy intellekt fakulteti, Axborot tizimlari va texnologiyalari yönalişi 3-bosqiç, 30A_24-guruh talabasi.
Şahriyor Hojiyev Zavqiddinoviç — Yaşil transformatsiya va texnologiya fakulteti, Materialşunoslik va…
ENERGETIKA MUHANDISLIGI KAFEDRASI: ÖQUV POLIGONLARINI ZAMONAVIY TALABLAR ASOSIDA JIHOZLAŞ BÖYIÇA ÖRGANIŞLAR
Özbekiston Respublikasi Prezidentining 2026-yil 27-iyul kuni yoqilği-energetika tarmoğida kelgusidagi ustuvor vazifalar yuzasidan ötkazilgan videoselektor yiğilişida berilgan 2026-yil 5-oktabrdagi 38-son topşiriğining 21.2-bandi ijrosini taʼminlaş doirasida Namangan davlat texnika universitetida tegişli işlar …
#Vakansiya #Ishga_marhamat
📣 TALABALAR VA BITIRUVCHILAR DIQQATIGA!
Ish izlayapsizmi? Siz uchun muhim imkoniyat!
Hurmatli talabalar va bitiruvchilar!
1–5-kurs talabalari hamda oliy ta’lim muassasalarini tamomlab, diplom olgan bitiruvchilarni ish bilan ta’minlashga ko‘maklashish maqsadida davlat va xususiy sektorlardagi mavjud bo‘sh ish o‘rinlari to‘g‘risidagi ma’lumotlar ushbu kanal orqali muntazam ravishda taqdi…
MILLIYLIK — O‘ZLIGIMIZ, MILLIY LIBOS — G‘URURIMIZ!
Bugun Namangan davlat texnika universitetida Milliy qadriyatlarni e’zozlash va Milliy libos kuni o‘zgacha ruhda o‘tmoqda.
Universitetning barcha fakultetlarida professor-o‘qituvchilar, xodimlar va talabalar milliy liboslarda jam bo‘lib, milliy an’analarimizga hurmatini namoyon etmoqda. Milliy liboslarda dars mashg‘ulotlari davom etmoqda, ayrim fakultetlarda esa xal…
NAMDTU VAKILLARI ITALIYADA: SEYSMIK XAVFSIZLIK BÖYIÇA XALQARO ILMIY STAJIROVKA DAVOM ETMOQDA
Namangan davlat texnika universiteti professor-öqituvçilari xalqaro ilmiy hamkorlik va kasbiy tajriba almaşiş doirasida Italiyada seysmik xavfsizlik yönalişidagi ilmiy stajirokada iştirok etmoqdalar.
Jumladan, universitetning «Bino va inşootlar qurilişi» kafedrasi dotsenti, texnika fanlari doktori (DSc) A.Ş. Martazayev hamd…
NAMDTU DEKANI XALQARO «AI-LEAD» DASTURINI MUVAFFAQIYATLI YAKUNLADI
Namangan davlat texnika universiteti Axborot texnologiyalari va sunʼiy intellekt fakulteti dekani, professor, DSc Ozoda Abdullayeva Malayziyada taşkil etilgan nufuzli «AI-LEAD International Executive Programme» xalqaro ijroçi rahbarlar dasturini muvaffaqiyatli tamomlab, maxsus sertifikat bilan taqdirlandi.
Dastur Malayziyaning Melaka şahridagi Unive…
1️⃣2️⃣3️⃣4️⃣5️⃣
NAMDTU PROFESSOR-ÖQITUVÇILARI XITOYDA ILMIY TAJRIBALAR ÖTKAZMOQDA
Namangan davlat texnika universiteti professor-öqituvçilarining xorijiy ilmiy markazlar bilan hamkorlikdagi tadqiqotlari Xitoy Xalq Respublikasida davom etmoqda.
Ayni kunlarda universitetning Metrologiya va standartlaştiriş kafedrasi professori Ş. Qorabayev hamda dotsent J. Şodmonov XXRning nufuzli oliy taʼlim muassasalarida taşkil et…
KOMPLEKS AKKREDITATSIYA: UNIVERSITET FAKULTETLARIDA TIZIMLI ÖRGANIŞLAR DAVOM ETMOQDA
Namangan davlat texnika universitetida kompleks akkreditatsiyaga tayyorgarlik işlari izçil davom etmoqda.
Universitet Taʼlim sifatini nazorat qiliş bölimi masʼullari tomonidan professor-öqituvçilar uçun öquv seminarlari va fakultetlarda örganiş jarayonlari taşkil etilmoqda.
Navbatdagi örganişlar Axborot texnologiyalari va sunʼiy i…
NAMDTU LABORATORIYASIDA YOŞLAR YARATGAN INNOVATSION IŞLANMALAR NAMOYIŞ ETILDI
Namangan davlat texnika universitetida «Rahbar va yoşlar» uçraşuvi doirasida Özbekiston Yoşlar ittifoqi Namangan viloyati Kengaşi raisi Bilolxon Umarov hamda Namangan viloyati Favqulodda vaziyatlar boşqarmasi boşliği Elyor Ahmadaliyev universitetning Sunʼiy intellekt laboratoriyasi faoliyati bilan tanişdi.
Mehmonlarga laboratoriyada yarat…
Talaba-yoşlar uçun psixologik trening taşkil etildi
Namangan davlat texnika universitetining 2-sonli talabalar turar joyida istiqomat qiluvçi talaba-qizlarning boş vaqtlarini mazmunli taşkil etiş, ularda ijobiy motivatsiyani şakllantiriş hamda psixologik barqarorlikni mustahkamlaş maqsadida psixologik trening taşkil etildi.
Trening universitet psixologi Azizbek Fayzullayev iştirokida ötkazilib, unda talaba-qizlarni…
👍1
Showing the 12 most recent of 63 posts we hold for @namdtuuz. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
📚 "Bir haftada bir kitob" loyihasining navbatdagi mutolaa kitobini birgalikda tanlaymiz! Loyihani qaysi kitob bilan davom ettirishni istaysiz? Eng ko'p ovoz berilgan kitob kelgusi hafta kitobi deb e'lon qilinadi!
Ovoz bering! 🔻
Kecha va kunduz (Abdulhamid Cho'lpon)26%
Qiyomat (Chingiz Aytmatov)5%
Sarob (Abdulla Qahhor)10%
Dunyoning ishlari (O'tkir Hoshimov47%
Me'mor (Mirmuhsin)7%
Sarvqomat dilbarim (Chingiz Aytmatov)11%
Tushda kechgan umrlar (O'tkir Hoshimov)19%
The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 63 most recent posts we hold, published 6 August 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 37 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.
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.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“NamDTU • NamSTU • НамГТУ” (@namdtuuz), 6,252 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/namdtuuz.
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.