⚡️Internet orqali xarid qiliş jarayonida işonç hosil qilmagan sayt va ilovalarga şaxsiy maʼlumotlaringizni kiritmang. 1–30-noyabr — “Kibermadaniyatni yuksaltiriş oyligi” ✈️@tuituz_official
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Channel
@manaviyat_tuit_uz
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
19,797subscribers
-411 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001776392876 |
|---|---|
| Type | Channel |
| Username | @manaviyat_tuit_uz |
| Description | Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti Ma'naviyat va ma'rifat markazi rasmiy kanali! 🌐 Sayt: https://manaviyat.tuit.uz/ 🤖 Anonim xabar boti: @tatu_giyohvandlikka_qarshi_bot |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/manaviyat_tuit_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 53% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 13:19 | 19,797 | -15 |
| 7 Nov 2026, 08:40 | 19,812 | -6 |
| 6 Nov 2026, 11:51 | 19,818 | -13 |
| 5 Nov 2026, 13:46 | 19,831 | -2 |
| 4 Nov 2026, 13:59 | 19,833 | -2 |
| 3 Nov 2026, 16:49 | 19,835 | -6 |
| 2 Nov 2026, 13:21 | 19,841 | -11 |
| 1 Nov 2026, 12:04 | 19,852 | -9 |
| 31 Oct 2026, 13:46 | 19,861 | -13 |
| 30 Oct 2026, 15:14 | 19,874 | -8 |
| 29 Oct 2026, 18:28 | 19,882 | -8 |
| 28 Oct 2026, 21:28 | 19,890 | -17 |
| 27 Oct 2026, 23:08 | 19,907 | -8 |
| 26 Oct 2026, 19:30 | 19,915 | -10 |
| 25 Oct 2026, 22:18 | 19,925 | -8 |
| 25 Oct 2026, 01:46 | 19,933 | -4 |
| 24 Oct 2026, 01:57 | 19,937 | -12 |
| 23 Oct 2026, 02:57 | 19,949 | -13 |
| 21 Oct 2026, 23:47 | 19,962 | -6 |
| 20 Oct 2026, 20:09 | 19,968 | first reading |
97 posts held, back to 11 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 56 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.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 97 (11 August 2026 – 8 November 2026) |
| Views total | 28,178 |
| Reactions total | 571 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 03:29 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.
Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
966 reactions across 93 posts, in 20 distinct kinds. The most used accounts for 29.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 283 | 29.3% | |
| ❤ | 199 | 20.6% | |
| 🔥 | 186 | 19.3% | |
| 🎉 | 66 | 6.83% | |
| ❤🔥 | 54 | 5.59% | |
| 😍 | 51 | 5.28% | |
| 🤩 | 40 | 4.14% | |
| 🥰 | 33 | 3.42% | |
| 👏 | 12 | 1.24% | |
| ⚡ | 9 | 0.932% | |
| 🤝 | 7 | 0.725% | |
| 🍾 | 4 | 0.414% | |
| 😘 | 4 | 0.414% | |
| 🏆 | 3 | 0.311% | |
| 👌 | 3 | 0.311% | |
| 👨💻 | 3 | 0.311% | |
| 😎 | 3 | 0.311% | |
| 🫡 | 3 | 0.311% | |
| 🤓 | 2 | 0.207% | |
| 🕊 | 1 | 0.104% |
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 93 of the 97 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 966 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 11 August 2026 to 8 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 @manaviyat_tuit_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 97 most recent posts we hold for this entry, published 11 August 2026 to 8 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: 0 of 31 posts held from the last 30 days (0%) 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).
⚡️Internet orqali xarid qiliş jarayonida işonç hosil qilmagan sayt va ilovalarga şaxsiy maʼlumotlaringizni kiritmang. 1–30-noyabr — “Kibermadaniyatni yuksaltiriş oyligi” ✈️@tuituz_official
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#табрик Азиз ва қадрли тиббиёт ходимлари! Инсон ҳаётига умид, қалбига хотиржамлик, келажагига ишонч бағишлайдиган шарафли касб эгалари — Сизларни Тиббиёт ходимлари куни билан чин қалбимдан муборакбод этаман! 🩺 Сизларнинг ҳар бир куни инсон саломатлиги йўлидаги фидойилик, ҳар бир саъй-ҳаракатингиз эса кимнингдир ҳаётидаги энг муҳим ўзгаришдир. Оғир дамларда беморларга далда бўлиш, уларнинг дардига малҳам топиш …
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#TATU_talabalari #ijara_xonadonlari Rektor talabalarning ijara xonadonlaridagi şaroitlari bilan tanişmoqda 💻 Ayni damda, Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti rektori, professor B.Maxkamov va universitet mas'ul xodimlari tomonidan kuz-qiş mavsumiga tayyorgarlik holatini közdan keçhiriş maqsadida, talaba-yoşlar istiqomat qilayotgan barcha ijara xonadonlari örganilmoqda. Taşr…
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#Profilaktika 💻 Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti talabalari iştirokida giyohvandlik, jinoyatçilik va huquqbuzarliklarning oldini oliş, yoşlarning huquqiy savodxonligini oşiriş hamda ularni turli salbiy illatlardan asraş maqsadida guruhlar kesimida profilaktik davra suhbati taşkil etilmoqda. 👮♂️ Tadbirda universitetning profilaktika katta inspektorlari hamda universitet mas…
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#Şaxmat #Dekan_kubogi 💻 Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti Kiberxavfsizlik fakulteti hamda fakultet Yoşlar ittifoqi yetakçilari hamkorligida talabalar örtasida şaxmat böyiça “Dekan kubogi” musobaqasining saralaş bosqiçi taşkil etildi. 🏆 Musobaqa davomida talabalar özlarining mantiqiy fikrlaş, strategik yondaşuv, diqqat-e’tibor va tezkor qaror qabul qiliş qobiliyatlarini namoy…
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#мулоҳаза Сен миттигина яхшилик қиласан аммо у катта эзгулик бўлиб ўзингга қайтади. Яхшилик қилган одам яхшиликни қабул қилган одамдан бахтлироқдир!
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Signed Яхшибаев Дониёр Султонбаевич
#TATU #Yiğiliş Vazirlik topşiriqlari ijrosi va universitet faoliyatining dolzarb masalalari muhokama qilindi. ✍️ Bugun Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti rektori rahbarligida universitet rahbariyati, fakultet dekanlari, bölim va markaz boşliqlari iştirokida yiğiliş ötkazildi. Yiğilişda Ta’lim va ilm-fan vazirligida davlat oliy ta’lim muassasalari rektorlari iştirokida ötka…
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Signed Ma'naviyat va ma'rifat bo'limi
#Kitobxonlik #Kitob_yarmarkasi 💻 Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universitetida yoşlar örtasida kitobxonlik madaniyatini oşiriş kuni doirasida kitob yarmarkasi taşkil etildi. 📖 Talaba-yoşlar örtasida kitobxonlik muhitini yanada rivojlantiriş, ularning mutolaaga bölgan qiziqişini qöllab-quvvatlaş maqsadida kitob yarmarkasi taşkil etildi. 📚 Yarmarka davomida turli janr va yönalişdagi ki…
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Signed Ma'naviyat va ma'rifat bo'limi
⚡️Talabalarni onlayn oçiq muloqotga taklif etamiz 🗣️Joriy yilning 6-noyabr kuni Raqamli texnologiyalar vazirligi hamda Ta’lim va ilm-fan vazirligi hamkorligida talabalar uçun onlayn oçiq muloqot taşkil etiladi. ✅ Raqamli taʼlimni rivojlantiriş markazi, Uzinfocom hamda UNICON-SOFT mutaxassislari sun’iy intellekt davrida ta’lim oliş, talab yuqori bölgan kasblarni egallaş va öz bilimingiz orqali yuqori daromadga çiqi…
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Signed Корабаев Элдор
#HuquqbuzarliklarProfilaktikasi #Ogohlik 💻 Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti Televizion texnologiyalar fakultetida Yunusobod tumani İçki işlar boşqarmasi mas'ul xodimlari hamda universitet profilaktika inspektorlari hamkorligida talabalar bilan guruhlar kesimida profilaktik uçraşuvlar taşkil etildi. 🗣 Uçraşuvlar davomida talaba-yoşlarga jinoyatçilik va huquqbuzarliklarning s…
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Signed Ma'naviyat va ma'rifat bo'limi
#Maʼrifat_darsi 💻 Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universitetida talaba-yoşlarning ijtimoiy-siyosiy bilimlarini oşiriş, dunyoqaraşini kengaytiriş hamda mamlakatimizda amalga oşirilayotgan islohotlardan xabardorligini ta’minlaş maqsadida “Ma’rifat darslari” muntazam taşkil etilmoqda. ⚡️ Navbatdagi maşğulotlarda milliy kinematografiyani rivojlantiriş, tibbiyot sohasidagi islohotlar, Prez…
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Signed Ma'naviyat va ma'rifat bo'limi
#Ijaraga_taşrif #TATU 🏘 TATU talabalarining ijarada yaşaş şaroitlari örganilmoqda! 💻 Muhammad al-Xorazmiy nomidagi Toşkent axborot texnologiyalari universiteti mas’ul xodimlari tomonidan ijarada yaşayotgan talabalarning turar joylariga navbatdagi taşriflar amalga oşirildi. ☀️ Taşrif davomida talabalarning yaşaş şaroitlari bilan yaqindan tanişildi, ijara xonadonlarining kuz-qiş mavsumiga tayyorgarlik holati örganil…
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Signed Ma'naviyat va ma'rifat bo'limi
Showing the 12 most recent of 97 posts we hold for @manaviyat_tuit_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.
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
✅ Viktorina ❓Jarangli jufti jarangsiz jufti bilan almaşsa-da, imloviy xatolik kelib çiqmaydigan sözni toping.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
✅ Viktorina ❓Qaysi gapda imloviy xatoga yöl qöyilgan?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is 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 97 most recent posts we hold, published 11 August 2026 to 8 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.
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 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 28 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 6 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 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“TATU | Ma'naviyat va ma'rifat markazi | Rasmiy kanal” (@manaviyat_tuit_uz), 19,797 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/manaviyat_tuit_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.