Channel
@nqaaeuz
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
3,396subscribers
-7 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003006630562 |
|---|---|
| Type | Channel |
| Username | @nqaaeuz |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/nqaaeuz |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
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.
17,200 average views per post against 3,396 subscribers — an engagement rate of 506.4%. Across the 1,224 registered channels in the same cohort — 3,163–9,993 subscribers, posting mainly in Turkish — the middle half sit between 7.36% and 33.2%, with a median of 16.4%.
| Window | 30 days (13 July 2026 – 12 August 2026) |
|---|---|
| Posts measured | 21 of 21 published in the window (0 exact, 21 rounded by Telegram) |
| Views totalled | 361,140 |
| Mature posts only | 552.3% over 19 posts read at least 24h after publication |
| Subscribers | 3,396 measured 11 August 2026 |
| Cohort | b3162:tur · 1,224 channels · p10 3.27% · p25 7.36% · p50 16.4% · p75 33.2% · p90 55.2% |
| Position in cohort | 99.755th percentile · 30.8× the cohort median |
| Uncertainty | ±0.117% of the figure, from Telegram’s rounding |
| Post language | Turkish · 100.0%of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 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 |
|---|---|---|
| 11 Aug 2026, 19:44 | 3,396 | -3 |
| 9 Aug 2026, 03:01 | 3,399 | -6 |
| 6 Aug 2026, 13:06 | 3,405 | +2 |
| 6 Aug 2026, 04:45 | 3,403 | no change |
| 6 Aug 2026, 03:49 | 3,403 | first reading |
21 posts held, back to 21 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 3 pagesof 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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 21 (21 July 2026 – 7 August 2026) |
| Views total | 361,140 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:24 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 5 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.
Education World Forum podkastida Oʻzbekistonda taʼlim sifati islohotlari haqida soʻz yuritildi Taʼlim sifatini taʼminlash milliy agentligi direktori Baxtiyor Yo'ldoshev taʼlim sohasidagi eng nufuzli xalqaro platformalardan biri — Education World Forum'ning EWF Conversations podkasti mehmoni boʻldi. EWF dasturi direktori Fabrizio Trifirò bilan suhbatda Oʻzbekistonda taʼlim tizimini xalqaro standartlar asosida rivojl…
Yana 3 ta oliygohning yangi ta'lim dasturlari maxsus davlat akkreditatsiyasidan o'tdi 3 ta oliygohning 6 ta yangi ta'lim dasturi maxsus davlat akkreditatsiyasidan o'tkazildi. Davlat akkreditatsiyasidan o'tgan ta'lim dasturlari: Buxoro davlat pedagogika instituti – 3 ta bakalavriat ta'lim dasturi: ➖Sun'iy intellekt; ➖Axborot tizimlari va texnologiyalari; ➖Xorijiy til va adabiyoti (koreys tili). Samarqand davlat pe…
Xalqaro ekspert: Akkreditatsiya talabalarga taqdim etilayotgan ta’lim imkoniyatlarini yanada yaxshilashga xizmat qiladi Germaniyaning Frankfurt Gyote universiteti (dunyo reytingida 201–250-o'rin) professori, xalqaro ekspert Luciano Rezzolla Markaziy Osiyo universiteti (CAU)da o‘tkazilayotgan kompleks davlat akkreditatsiyasiga raislik qilmoqda. Videoda professor ta’lim sifatini baholashning ahamiyati va uning univer…
Andijon davlat texnika institutining yangi taʼlim dasturlari maxsus davlat akkreditatsiyasidan oʻtdi Taʼlim sifatini taʼminlash milliy agentligi huzuridagi ekspertlar komissiyasi tomonidan Andijon davlat texnika institutining 11 ta taʼlim dasturi maxsus davlat akkreditatsiyasidan muvaffaqiyatli oʻtkazildi. Baholash jarayonlarida 10 nafar mahalliy va 10 nafar xorijiy ekspert ishtirok etib, taʼlim dasturlarining amal…
Qayta tayyorlash va malaka oshirish ta’lim dasturlari maxsus davlat akkreditatsiyasidan o‘tdi “Xalqaro turizm akademiyasi Samarqand kampusi”da kadrlarni qayta tayyorlash va ularning malakasini oshirishga qaratilgan 7 ta ta’lim dasturi maxsus davlat akkreditatsiyasidan muvaffaqiyatli o‘tkazildi. Davlat akkreditatsiyasidan o‘tgan ta’lim dasturlari: ➖Housekeeping xizmatlarini tashkil etish va sanitariya-gigiyena tala…
Ekspertlar safida talaba 30–40 yillik tajribaga ega ekspertlar bilan bir jamoada faoliyat yuritish katta sharaf, beqiyos tajriba va yuksak mas’uliyat Davlat akkreditatsiyasi jarayonida ilk bor talaba-ekspert sifatida Abdujabbor Imomkulov ishtirok etmoqda. Ayni damda Central Asian Universitetida kompleks davlat akkreditatsiyasi jarayonlari o‘tkazilmoqda. Ekspertlar guruhi tarkibida 20 dan ortiq mahalliy va xalqaro e…
Yana 3 ta oliygohning yangi ta’lim dasturlari davlat akkreditatsiyasidan o‘tkazildi 3 ta oliy ta’lim tashkilotining bakalavriat ta’lim dasturlari maxsus davlat akkreditatsiyasidan muvaffaqiyatli o‘tdi. Akkreditatsiyadan o‘tgan ta’lim dasturlari: Xalqaro ijtimoiy innovatsiyalar universiteti: ➖Siyosatshunoslik. Turkiy davlatlar xalqaro universiteti: ➖Oziq-ovqat texnologiyasi. Raqamli iqtisodiyot va agrotexnologi…
Germaniyaning Akkreditatsiya, sertifikatlashtirish va sifatni ta’minlash instituti (ACQUIN) bilan hamkorlik yo‘lga qo‘yildi Hamkorlik doirasida oliygohlarning sifatni ta’minlash mutaxassislari uchun malaka oshirish dasturlarini yo‘lga qo‘yish, xalqaro ekspertlar almashinuvini tashkil etish hamda oliygohlarni xalqaro akkreditatsiyadan o‘tkazish yo‘nalishlarida hamkorlik qilishga kelishildi. ACQUIN O‘zbekiston Respub…
Xalqaro Nordik universitetining 6 ta ta’lim dasturi davlat akkreditatsiyasidan muvaffaqiyatli o‘tdi Xalqaro Nordik universitetining yangi ta’lim dasturlari 6 nafar mahalliy va 5 nafar xorijiy ekspert tomonidan baholandi. Akkreditatsiyadan o'tgan ta’lim dasturlari: Bakalavriat 4 ta: ➖Filologiya va tillarni o‘qitish (ingliz tili); ➖Filologiya va tillarni o‘qitish (o‘zbek tili); ➖Buxgalteriya hisobi; ➖Bank ishi. Mag…
Termiz davlat muhandislik va agrotexnologiyalar universitetining 6 ta taʼlim dasturi maxsus davlat akkreditatsiyasidan muvaffaqiyatli o‘tdi Maxsus davlat akkreditatsiyasi yakunlariga ko‘ra, Termiz davlat muhandislik va agrotexnologiyalar universitetining yangi taʼlim dasturlari talabga muvofiq deb topildi. Baholash jarayonlari 7 nafar mahalliy va 5 nafar xorijiy ekspert ishtirokida amalga oshirildi. Akkreditatsiy…
Ta’lim jarayonining har bir ishtirokchisi ta’lim sifatiga mas’ul bo‘lishi kerak Ta’lim dasturlari uchun akkreditatsiya nima beradi? U universitet faoliyatida qanday o‘zgarishlarni boshlab beradi? Nima uchun ta’lim sifati uchun mas’uliyat ta’lim jarayonining har bir ishtirokchisiga tegishli? Bu haqda ishtirokchilarning fikrlarini bilish uchun Buxoro davlat universiteti Ta’lim sifati nazorati bo‘limi boshlig‘i Ziyodu…
Chirchiq davlat pedagogika universitetining yangi taʼlim dasturlari maxsus davlat akkreditatsiyasidan muvaffaqiyatli o‘tdi Maxsus davlat akkreditatsiyasi yakunlariga ko‘ra, Chirchiq davlat pedagogika universitetining akkreditatsiyaga taqdim etilgan 7 ta bakalavriat taʼlim dasturining barchasi muvofiq deb topildi. Akkreditatsiyadan muvaffaqiyatli o‘tgan taʼlim dasturlari: ➖Amaliy sanʼat: badiiy kulolchilik; ➖Rangta…
Showing the 12 most recent of 21 posts we hold for @nqaaeuz. 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.
Citation-graph rank — 9,337 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 29 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Ta’lim sifatini ta’minlash milliy agentligi” (@nqaaeuz), 3,396 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/nqaaeuz.
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.