❗️Янги ўқув йилидан талабаларни баҳолаш ва имтиҳон олиш бутунлай ўзгаради Ҳукумат қарори лойиҳасига кўра, 2026/2027 ўқув йилидан бошлаб олий таълим ташкилотларида талабалар билимини баҳолаш ва назорат қилишнинг янги тартиби жорий этилиши кутилмоқда. ➖ Якуний назорат имтиҳонларини овозли ва видео кузатув камералари билан жиҳозланган аудиторияларда ўтказиш тизими жорий этилади. ➖ Ўтказиладиган якуний назорат турлари…
Channel
ERONSHUNOSLIK VA AFGʻONSHUNOSLIK OLIY MAKTABI
@eron_afg
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
795subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001470954197 |
|---|---|
| Type | Channel |
| Username | @eron_afg |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/eron_afg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 05:16 | 795 | -3 |
| 8 Aug 2026, 05:13 | 798 | no change |
| 7 Aug 2026, 06:16 | 798 | first reading |
Engagement
18 posts held, back to 14 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 68.2%
- avg views ÷ 795 subscribers
- Avg views / post
- 542
- 14 posts measured
- Reaction rate
- 3.47%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 18 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 8 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 18 (14 July 2026 – 6 August 2026) |
| Views total | 7,589 |
| Reactions total | 166 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 06:16 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
173 reactions across 11 posts, in 9 distinct kinds. The most used accounts for 39.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 69 | 39.9% | |
| 👏 | 31 | 17.9% | |
| 🔥 | 17 | 9.83% | |
| 🎉 | 15 | 8.67% | |
| 🕊 | 13 | 7.51% | |
| 👍 | 11 | 6.36% | |
| 🥰 | 8 | 4.62% | |
| 🤩 | 7 | 4.05% | |
| 💯 | 2 | 1.16% |
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 11 of the 18 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 173reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 14 July 2026 to 6 August 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
⚡️⚡️⚡️ 🌙 ТАЪЗИЯ 🌙 Тошкент давлат шарқшунослик университети Эроншунослик ва афғоншунослик олий мактабида узоқ йиллар самарали меҳнат қилган фахрий устоз, филология фанлари номзоди, доцент Шокиров Олимжон Зокирович (1936-2026) ўз омонатларини Яратганга топширдилар. ТДШУ жамоаси устоз Олимжон Шокировнинг вафотлари муносабати билан таъзия изҳор этади‼️ Устознинг оила аъзолари ва шогирдларига чексиз сабр тилаймиз. Уст…
❤10🕊8
⚡️⚡️⚡️ 💥 TABRIKLAYMIZ💥 Toshkent davlat sharqshunoslik universiteti "Eronshunoslik va afg‘onshunoslik" oliy maktabi dotsenti, PhD. Kabirova Nargiza Kahramonovna 1988-yilning 30-iyul sanasida tavallud topgan. U kishi talabalarimizga afgʻon adabiyotidan saboq berib kelmoqdalar. Hurmatli NARGIZA KAXRAMONOVNA‼️ Sizni tavallud ayyomingiz bilan chin qalbimizdan universitet jamoasi nomidan muborakbod etamiz. Yaqinlaring…
❤16🎉5👏1
#qabul2026 #magistratura ❗️MAGISTRATURAga qabul boʻyicha turdosh oliy taʼlim yoʻnalishlari roʻyxati Oliy ta’lim, fan va innovatsiyalar vazirining tegishli buyrug‘i bilan 2026/2027-o‘quv yilida davlat oliy taʼlim tashkilotlari magistraturasiga qabul boʻyicha turdosh oliy taʼlim yoʻnalishlarining roʻyxati tasdiqlandi. Siz mazkur roʻyxatdan qaysi bakalavriat taʼlim yoʻnalishi davlat oliy taʼlim muassasalari MAGISTRAT…
⚡️⚡️⚡️ 💥 TABRIKLAYMIZ 💥 ❇️ PhD DIPLOMI ❇️ 🌟 ASLANI MOHAMMADREZA TOFIGH 🌟 ➡️eron_afg
👏14❤9🎉4🥰3💯2🕊2🤩2🔥1
#PhD_himoyasi_Tehron_universiteti ⚡️⚡️⚡️ جلسه دفاع از رساله دکتری دکتر محمدرضا اصلانی با عنوان «تبیین الگوهای تعاملی حواس پنجگانه و بازتاب موسیقایی آنها در شعر پل ورلن و نیما یوشیج» در دانشگاه تهران برگزار شد. این رساله با راهنمایی دکتر محمد افشین وفایی، استاد راهنما، و با مشاوره دکتر ژاله کهنموییپور و دکتر حمید حسینی، استادان مشاور، تدوین و ارائه شد. در این جلسه، آقای محمدرضا اصلانی ضمن معرفی اهداف، مبانی نظری،…
👍5🔥5❤4🕊1
#PhD_himoyasi_Tehron_universiteti ⚡️⚡️⚡️ ✨ TDSHU Eronshunoslik va afg'onshunoslik oliy maktabi katta o'qituvchisi Muhammadreza Asloniy Tehron universitetida “Pol Verlen va Nima Yushij she’riyatida besh sezgi o‘rtasidagi o‘zaro ta’sir modellari va ularning musiqiy aks-sadosini tahlil qilish” mavzusidagi PhD dissertatsiyasini muvaffaqiyatli himoya qildi. ✨ Mazkur dissertatsiya ilmiy rahbar doktor Muhammad Afshin Vaf…
❤12👏10🔥6🕊1
Ulug' ustozlarning ma'rifat daryosi yosh avlodning ma'naviy chanqog'ini qondiradi. Umrini ilm-fanga, ezgulik va ziyo tarqatishga baxshida aylagan olimlar hamisha e'zozdadirlar. "El suv ichgan daryolar" ko'rsatuvining galdagi sonida filologiya fanlari doktori, professor Qosimjon Sodiqovning ibratli hayot yo'liga nazar tashlaymiz. Bugun soat 21:30 da. "O'zbekiston tarixi" telekanalida. Telegram I Instagram I Youtub…
❤3🔥3
⚡️⚡️⚡️ ✨ استاد عزیز و مهربان، جناب آقای محمدرضا اصلانی ۲۳ ژوئیه، سالروز تولدتان را از ته دل به شما تبریک میگوییم! ✨ خوشحالیم که در این روز قشنگ، فرصتی شد تا از تمام زحمتها، مهربانیها و صبر و حوصلهتان در تدریس زبان و ادبیات فارسی تشکر کنیم. شما فقط یک استاد خوب نیستید، بلکه برای ما یک دوست دلسوز و دوستداشتنی هستید که کلاسهایتان همیشه پر از انرژی مثبت است. ✨ در این روز زیبا، شادی ما دوچندان است؛ چرا که امس…
❤10🤩5🥰3🔥2🕊1
⚡️⚡️⚡️ 💥 TABRIKLAYMIZ💥 Toshkent davlat sharqshunoslik universiteti "Eronshunoslik va afgʻonshunoslik” oliy maktabi katta oʻqituvchisi Muhammadrizo Tovfiq Asloniy 1972-yilning 23-iyulida tavallud topgan. Hurmatli MUHAMMADRIZO ASLONIY‼️ Sizni tavallud ayyomingiz bilan chin qalbimizdan universitet jamoasi nomidan muborakbod etamiz. Ko‘nglingiz tub-tubidan joy olgan barcha ezgu istaklaringiz ushalsin. Talabalarimi…
👍6👏6🎉4❤2
#kvota #magistratura #kunduzgi #qabul2026 ❗️Magistratura kunduzgi ta’lim shakli uchun qabul kvotlarining ta’lim yo‘nalishlari va o‘qitish tillari kesimidagi taqsimoti 2026/2027-o‘quv yilida oliy ta’lim tashkilotlari magistraturasining KUNDUZGI ta’lim shakliga umumiy qabul parametrlarining mutaxassisliklar va o‘qitish tillari bo‘yicha taqsimoti. Jami: 22 050 ta. Davlat granti – 10 340 ta; Shundan: - o‘zbek tili –…
❗️Toshkent davlat Sharqshunoslik universiteti magistratura yoʻnalishlariga qabul kvotalari 2026-2027 oʻquv yili @dinamik_96
Showing the 12 most recent of 18 posts we hold for @eron_afg. 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
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“ERONSHUNOSLIK VA AFGʻONSHUNOSLIK OLIY MAKTABI” (@eron_afg), 795 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/eron_afg.
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.