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 9 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
34 measurements spanning 50 days, net -9,001. 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 24,496–56,994 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
26 Sept 2026, 07:39
28,246
-2,161
17 Sept 2026, 09:59
30,407
-617
15 Sept 2026, 12:15
31,024
-533
13 Sept 2026, 20:21
31,557
-500
12 Sept 2026, 02:59
32,057
-915
9 Sept 2026, 19:38
32,972
-1,587
6 Sept 2026, 14:59
34,559
-949
4 Sept 2026, 04:40
35,508
-805
2 Sept 2026, 15:44
36,313
-415
1 Sept 2026, 11:25
36,728
-431
31 Aug 2026, 12:34
37,159
-387
30 Aug 2026, 09:13
37,546
-460
29 Aug 2026, 06:46
38,006
-492
28 Aug 2026, 08:56
38,498
-544
27 Aug 2026, 11:36
39,042
-640
26 Aug 2026, 09:05
39,682
-705
25 Aug 2026, 08:52
40,387
-702
24 Aug 2026, 07:16
41,089
-1,408
22 Aug 2026, 11:53
42,497
-1,348
21 Aug 2026, 02:03
43,845
first reading
Engagement
89 posts held, back to 30 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 82 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.8%
avg views ÷ 28,246 subscribers
Avg views / post
6,720
16 posts measured
Reaction rate
0.098%
reactions ÷ views · ER floor
Posts in window
16
of 89 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 September 2026
Posts held
89 (30 July 2026 – 24 September 2026)
Views total
107,450
Reactions total
105
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 14:20 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
21m 50s
Average length
1m 59s
Measured directly from 11 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
803 reactions across 86 posts, in 30 distinct kinds. The most used accounts for 56.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
452
56.3%
🤣
74
9.22%
👍
67
8.34%
🔥
60
7.47%
🤬
39
4.86%
👎
19
2.37%
😡
12
1.49%
😁
9
1.12%
❤🔥
8
0.996%
💔
7
0.872%
🥰
7
0.872%
😭
6
0.747%
🤡
6
0.747%
💯
4
0.498%
😐
4
0.498%
😱
4
0.498%
🫡
4
0.498%
👏
3
0.374%
🤔
3
0.374%
😈
2
0.249%
10 further kinds
13
1.62%
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 87 of the 89 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 803 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 30 July 2026 to 24 September 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 89 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Nodavlat_oliygohlar. 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 89 most recent posts we hold for this entry, published 30 July 2026 to 24 September 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.
⚡️Pedagog xodimlarga 1-oktyabr munosabati bilan 1 mln 20 ming soʻmgacha mukofot puli beriladi
🔰Vazirlar Mahkamasining 2019-yil 30-sentyabrdagi 823-son qarori bilan tasdiqlangan nizomning 29-bandida umumtaʼlim muassasalari xodimlari, shu jumladan rahbar xodimlari faqat "1-oktyabr — O'qituvchi va murabbiylari kuni" munosabati bilan Jamgʻarmaning mavjud mablagʻlari hisobidan mehnatga haq toʻlashning eng kam miqdorining…
⚡️Rasman: Kontrakt toʻlovlarini amalga oshirish muddati 15-oktyabrgacha uzaytirildi
2026/2027 oʻquv yili uchun oliy taʼlim tashkilotlarida kontrakt toʻlovlarini amalga oshirish va talabalar safiga qabul qilishni rasmiylashtirish muddati 15-oktyabrga qadar (shu kuni ham) uzaytirildi.
Bu muddat:
• bakalavriat va magistraturaga oʻqishga tavsiya etilgan abituriyentlar;
• oʻqishi koʻchirilgan yoki koʻchirib tiklangan t…
⚡️Rasman: Tibbiyot yoʻnalishlariga oʻtish ballari oshiriladi
Prezidentning 2026-yil 10-sentyabrdagi “Tibbiyot va farmatsevtika sohasida kadrlar tayyorlash tizimini tubdan takomillashtirish chora-tadbirlari to‘g‘risida”gi 191-son farmoni qabul qilindi.
Farmonga koʻra, 2027/2028 oʻquv yilidan boshlab tibbiyot va farmasevtika sohasida bakalavriat ta'lim yoʻnalishlariga, shu jumladan, maqsadli qabul parametrlari doiras…
⚠️ Nodavlat oliygohlarga oʻqishga kirgan san'atkorlar rostan ham oʻqishyaptimi?
Bugun ayrim nodavlat oliygohlar reklama kampaniyalarida taniqli blogerlar, xonandalar, aktyorlar va boshqa mashhur shaxslardan foydalanib, “Men bilan birga talaba bo‘ling”, “Men ham shu universitetda o‘qiyman” kabi mazmundagi reklamalarga urg‘u bermoqda.
Bunday reklama, aslida, oliygohning o‘zi haqida kutilmagan savollarni ham yuzaga ch…
⚡️Davlat oliygohida oʻqigan yaxshimi yoki xususiy oliygohda? (Tahliliy maqola)
Bugungi kunda odamlar orasida haligacha davlat oliygohida oʻqish kelajakni (diplomni) kafolatlaydi degan tushuncha bor. Xususiy oliygohlarga ishonch yoʻq, diplomi oʻtmay qolishi mumkin degan qoʻrquv sabab davlat oliygohining qandaydir keraksiz yoʻnalishiga oʻqishga kirib qolishsa ham oʻqiyverishadi.
Aslida eng katta xato mana shu!
Bugu…
⚡️Xorijiy oliygohlardan o‘qishni ko‘chirish faqat qonuniy test sinovlari orqali amalga oshiriladi!
Xorijiy davlatlardagi oliy ta’lim muassasalaridan O‘zbekiston Respublikasidagi davlat va nodavlat OTMlariga o‘qishni ko‘chirish (perevod) faqatgina belgilangan tartibdagi maxsus test sinovlari (yoki kasbiy/ijodiy imtihonlar) asosida amalga oshiriladi.
Amaldagi qonunchilikda test sinovlarisiz o‘qishni ko‘chirishning he…
#Mirziyoyev #Olmazor #talabalar #taqdimot
Prezident Shavkat Mirziyoyevga talabalar shaharchasidagi yangi raqamli xavfsizlik tizimi taqdim etildi
Prezident Shavkat Mirziyoyev poytaxtimizdagi bunyodkorlik ishlari bilan tanishish chogʻida talabalar shaharchasida xavfsizlikni taʼminlashga qaratilgan yangi raqamli tizim bilan tanishdi.
Talabalar shaharchasida tashkil etilgan vaziyatlar markazi orqali hududdagi holatni …
⚡Davlat oliygohlari ham xususiylashtiriladi
Yirik davlat oliy ta’lim muassasalari va respublika ixtisoslashgan tibbiyot markazlari faoliyatini bosqichma-bosqich tijoratlashtirish maqsadida ular xo‘jalik jamiyatlariga aylantiriladi hamda ularning faoliyatiga xususiy investorlar, jumladan, ustav kapitalidagi aksiyalar paketini ommaviy savdolarga chiqarish orqali jalb etiladi.
Bunda davlat ulushining 51 foizdan kam bo…
📹 Kontrakt.edu.uz sayti orqali shartnoma rasmiylashtirish uchun videqoʻllanma.
- Qo'llanmadan foydalaning, ariza yuboring, shartnomangizni oling.
✅@Nodavlat_oliygohlar – nodavlat oliygohlar haqida so'nggi ma'lumotlar bazasi
⚡️Super-kontrakt boʻyicha tanlov qanday qilinadi?
✅Oʻqishga qabul qilinganlar uchun:
Agarda siz tanlagan 5 ta yoʻnalishingizdan biriga oʻqishga qabul qilingan boʻlsangiz, oʻz xoxshingizga koʻra faqatgina 1-yoʻnalishda super-kontrakt asosida oʻqishingiz mumkin.
Bunda hozirda oʻqishga tavsiya etilgan grant yoki kontraktingiz kuyadi va faqatgina 1-yoʻnalishda super-kontrakt asosida oʻqishingiz mumkin. Muhim jihati sh…
🎓 1 yil vaqtingizni yo'qotmagan holda talaba bo'ling!
Siz hali ham o’qishga topshirmagan bo’lsangiz, Sarbon universitetida qabul jarayonlari yakunlanmoqda.
🚀 Bugun hujjat topshiring va talabalik maqomiga ega bo‘ling!
🎓 30 dan ziyod ta’lim yo‘nalishlari
💰 Kontrakt narxlari 11 mln so‘mdan boshlanadi
📌 Batafsil ma’lumot va qabul uchun:
https://forms.amocrm.ru/rzttdrl
📲 +998 55 588 33 81
⚡️Rasman: Vakant o‘rinlar uchun o‘tkazilgan qo‘shimcha tanlov natijalari e'lon qilindi
📝 Oliy ta’lim tashkilotlarining bakalavriat ta’lim yo‘nalishlariga kirish uchun vakant o‘rinlar mavjud bo‘lgan, fanlar majmuasi va ta’lim tili mos bakalavriat ta’lim yo‘nalishlariga qo‘shimcha tanlovda ishtirok etish uchun ro‘yxatdan o‘tgan abituriyentlar natijalari e'lon qilindi.
👨💻 Abituriyentlar natijalarini my.uzbmb.uz sayt…
👎2🫡1
Showing the 12 most recent of 89 posts we hold for @Nodavlat_oliygohlar. 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
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.
Mentions
Named by 7 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.
Nodavlat oliy ta’lim tashkilotlari @nodavlat_otm · 61,260 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 15 August 2026
Ta'limga oid (Perevod) @Talimgaoid_perevod · 56,820 Telegram ranks this channel #29 of 76 here — alongside 75 others — read 19 August 2026
Ta'lim Live @Talim_Live · 61,607 Telegram ranks this channel #35 of 83 here — alongside 82 others — read 17 August 2026
Osiyo Xalqaro Universiteti @Oxu_uz · 74,186 Telegram ranks this channel #48 of 75 here — alongside 74 others — read 15 August 2026
This channel appears in 4 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Nodavlat oliygohlar” (@Nodavlat_oliygohlar), 28,246 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/Nodavlat_oliygohlar.
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.