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PhD USTAXONA | Doktorantlar uchun ilmiy ustaxona

@PhD_ustaxona

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

465subscribers

+47 since we began measuring on 10 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003836347492
TypeChannel
Username@PhD_ustaxona
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 October 2026
Last confirmed live5 November 2026
Measurements held3
Confirmed unchanged3 times, most recently 5 November 2026
On Telegramt.me/PhD_ustaxona

Growth

418465441.510 October 2026 — 418 subscribers13 October 2026 — 460 subscribers20 October 2026 — 465 subscribers10 October 202620 October 2026
3 measurements spanning 11 days, net +47. 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 411–472 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Oct 2026, 20:06465+5
13 Oct 2026, 11:21460+42
10 Oct 2026, 01:22418first reading

Engagement

20 posts held, back to 8 October 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
37.1%
avg views ÷ 465 subscribers
Avg views / post
172
17 posts measured
Reaction rate
12.1%
reactions ÷ views · ER floor
Posts in window
17
of 20 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 1 of 17 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 October 2026
Posts held20 (8 October 2026 – 9 October 2026)
Views total2,930
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Oct 2026, 01:22 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.

Reaction mix

28 reactions across 4 posts, in 6 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1657.1%
🔥621.4%
❤27.14%
👌27.14%
👏13.57%
👨‍💻13.57%

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 4 of the 20 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 8 October 2026 to 9 October 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: 4 of 17 posts held from the last 30 days (23.5%) 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).

9 Oct 2026, 19:12 UTC33 views4 reactionsread 10 October 2026
Photo

Hammaga xayrli tun tilaymiz!🌃 Kanalimizga yangi qo'shilganlarga @PhD_Ustaxona ga xush kelibsiz deymiz!😊🤝

👍2❤1👏1

9 Oct 2026, 19:02 UTC37 viewsread 10 October 2026

❓14-savol. Kursning narxi biroz qimmat emasmi? Internetdagi kurslar odatda arzonroq bo‘ladi-ku. Nega ish faqat to‘lovdan keyin boshlanadi? ✔️Javob: Ko‘pchilik onlayn kurslarda katta guruhga umumiy dastur asosida dars o‘tiladi. Bizda bir ustoz ko‘pi bilan ikki tadqiqotchi bilan ishlaydi. Har birining mavzusini o‘rganadi, individual oylik dastur tuzadi, matnlarini tekshiradi va birgalikda tahrir qiladi. Oyiga 3 600 00…

9 Oct 2026, 18:21 UTC53 viewsread 10 October 2026

❓13-Savol. Scopus maqolani kursda o'rganar ekanman, lekin uning nashri cho'zilar ekan. Men himoyaga kech qolmaymanmi? ✔️Javob: Siz 6 oyda dissertatsiya, OAK maqolalar, xorijiy maqolalar, mahalliy va xorijiy tezislarning qo'lyozmasini yozib bo'lasiz, ularning aksariyat qismini kurs oxirigacha nashr etishga ham ulgurarsiz. Sizda shunda kafedra bosqichidan keyingi asosiy fokus Scopus maqola yozishga va uni nashr etishga…

9 Oct 2026, 18:04 UTC65 viewsread 10 October 2026

❓12-savol. Men kursda faqat 1-bobimni yozishni o'rganishim mumkinmi? Yana bir shunga o'xshash savol: mening dissertatsiyamning so'nggi 3-bobi asosan kuzatuv asosidagi tajribaga asoslangan, men 1- va 2-bobni kursda o'rgansam bo'ladimi? Shunday holatlarda kafedra bosqichidagi hamkorlik masalasi qanday bo'ladi? ✔️Javob: Siz kursni ishning 1-bobini tugatib ham, 2-bobini tugatib ham tark etishingiz mumkin. Kafedrada to'li…

9 Oct 2026, 17:44 UTC87 viewsread 10 October 2026

❓11-savol. Kafedra ishni qattiq tanqid qilsa, "ular sizga adovat qilmoqda" deb keyingi hamkorlikdan yuz burilmaydimi? ✔️Javob: Kafedrada bildirilgan ilmiy e’tirozlar mazmuni bo‘yicha ko‘rib chiqilishi kerak. Metodga, manbaga, dalilga yoki xulosaga oid asosli kamchilik bo‘lsa, uni tuzatamiz. Dasturda kafedra bosqichidagi kamchiliklarni birgalikda bartaraf etish ko‘zda tutilgan. Muhokamada o‘z fikrini himoya qilish va …

9 Oct 2026, 14:58 UTC247 viewsread 10 October 2026

❓10-savol. Bir dissertatsiyadan 7 ta maqola va 4 ta tezis chiqarish ilmiy natijani maydalab, qayta-qayta maqola qilib nashr etishga o‘xshamaydimi? ✔️Javob: dissertatsiya yuzasidan maqola tayyorlash va ularni nashr etish, bu dissertatsiyada erishilgan natijalarni e'lon qilish demakdir va bu normal. Ammo aynan dissertatsiyani bo'laklarga bo'lib, uni maqolaga aylantirish bu juda xunuk holat. Dissertatsiya bu o'zi yaxlit…

9 Oct 2026, 14:47 UTC246 viewsread 10 October 2026

❓9-savol. Matnning antiplagiat ko‘rsatkichi yaxshi chiqsa, uni original ilmiy ish deb qabul qilaveramizmi? Gaplarda so'z o'yini qilib Antiplag natijasidagi originallikni oshirish mumkin-ku! ✔️Javob: o‘xshashlik foizi ishni baholashga yordam beradi, ammo uning ilmiy yangiligini to‘liq ko‘rsatmaydi. Boshqa muallifning fikrini yangi so‘zlar bilan yozish orqali yangi natija yaratilmaydi. Olingan fikrning manbasi baribir …

9 Oct 2026, 14:43 UTC260 viewsread 10 October 2026

❓8-Savol. "Manbalar haqiqiy" deyishning o'zi yetarlimi? Haqiqiy kitob yoki arxiv hujjatining o‘zida ham noto‘g‘ri ma’lumot bo‘lishi mumkin-ku! ✔️Javob: albatta, bo‘lishi mumkin. Manbaning mavjudligi undagi har bir fikrning to‘g‘riligini anglatmaydi. Muallifning qarashi, hujjat yaratilgan davr, uning maqsadi va ma’lumotning qanday olingani ham hisobga olinadi. Shu sababli kursda manbani topish bilan cheklanmaymiz. Und…

9 Oct 2026, 14:18 UTC259 viewsread 10 October 2026

❓7-savol. Ustoz “oylik ish bajarildi” desa yoki "kurs o'z ishini bajardi" desa, men uning sifatiga rozi bo‘lmasam, bajarilgan ish ulushini kim xolis baholaydi? ✔️Javob: Bajarilgan ish ulushi faqat yozilgan sahifalar yoki yuborilgan fayllar soniga qarab baholanmaydi. Kelishilgan vazifaning mazmuni va sifat mezonlari ham hisobga olinadi. Kelishmovchilikda individual dastur, topshirilgan materiallar va berilgan izohlar …

9 Oct 2026, 14:01 UTC237 viewsread 10 October 2026

❓6-savol. Kursda mening mavzuyimga yaqin yana boshqa tadqiqotchi bo‘lsa, g‘oyalarimiz va ilmiy natijalarimiz uniki bilan aralashib ketmaydimi? ✔️Javob: kurs davomida 1 ta ustozga 2 ta tadqiqotchi biriktirilishi mumkin, imkon qadar mavzusi o'xshash tadqiqotchilar bir kurs ustoziga berilmaslikka urg'u beriladi, ammo buning imkoni yo'q paytlarda, Bir-biriga yaqin mavzularda umumiy ochiq adabiyotlardan foydalanish mumkin…

9 Oct 2026, 13:55 UTC234 viewsread 10 October 2026

❓5-savol. Kurs tugaganda menga faqat dissertatsiya fayli beriladimi yoki uni yaratishda ishlatilgan loyiha, jadvallar va yo‘riqnomalar ham qoladimi? ✔️Javob: dissertatsiyaning har bir faslida qo'llanilgan manbalar, jadvallar, usul va uslublar bitta papkaga jamlanib, jami papkalar tadqiqotning manbaviy bazasi sifatida tadqiqotchiga tashlab beriladi. Tadqiqotchi kafedradan keyingi ilmiy seminarlarda ham manba bilan bog…

Showing the 12 most recent of 20 posts we hold for @PhD_ustaxona. 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.

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 1 registered channel — 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.

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 20 October 2026 — this entry's latest reading, not the date you are reading this.

“PhD USTAXONA | Doktorantlar uchun ilmiy ustaxona” (@PhD_ustaxona), 465 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/PhD_ustaxona.

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.