🔉PISA 2025: test savoli ochiq ravishda e’lon qilindi! Avvalroq OECD tomonidan PISA 2025 xalqaro tadqiqotida foydalanilgan topshiriqlar ochiq e’lon qilinayotgani haqida xabar bergan edik. Navbatdagi ochiq topshiriq — “Biologik xilma-xillikning yo‘qolishi” bilan tanishishingiz mumkin. PISA 2025 natijalari ham mazkur Telegram kanali orqali e’lon qilinadi. 📱 Telegram

Channel
Xalqaro tadqiqotlar markazi | International Studies Center I Avloniy Instituti
@xtmavloniy
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
912subscribers
+7 since we began measuring on 16 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004427901603 |
|---|---|
| Type | Channel |
| Username | @xtmavloniy |
| Created | Between 1 June 2026 and 23 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xtmavloniy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 00:39 | 912 | +7 |
| 16 Sept 2026, 19:22 | 905 | first reading |
Engagement
11 posts held, back to 23 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 187.6%
- avg views ÷ 912 subscribers
- Avg views / post
- 1,710
- 10 posts measured
- Reaction rate
- 0.375%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 11 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 9 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 September 2026 |
|---|---|
| Posts held | 11 (23 August 2026 – 16 September 2026) |
| Views total | 17,107 |
| Reactions total | 63 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Sept 2026, 19:22 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
80 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 32.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 26 | 32.5% | |
| ❤ | 16 | 20.0% | |
| 🔥 | 14 | 17.5% | |
| 👏 | 12 | 15.0% | |
| ⚡ | 4 | 5.00% | |
| 😁 | 3 | 3.75% | |
| 🙏 | 3 | 3.75% | |
| 👌 | 1 | 1.25% | |
| 🤝 | 1 | 1.25% |
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 10 of the 11 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 August 2026 to 16 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.
Recent posts
📚 PISA 2025: uyga vazifa kerakmi? 🇺🇿 O‘zbekistonda uy vazifasiga kuniga 30 daqiqagacha vaqt ajratgan o‘quvchilar tabiiy fanlardan o‘rtacha 413 ball, 1–2 soat shug‘ullanganlar 441 ball, 3–4 soat shug‘ullanganlar esa 455 ball qayd etgan. PISA 2025 tadqiqotida o‘quvchilarning barcha fanlar bo‘yicha uy vazifasini bajarishga bir kunda qancha vaqt sarflashi va ularning tabiiy fanlar natijalari o‘rtasidagi bog‘liqlik o‘rg…
⚡1👍1👏1🔥1
PISA 2025: dars qoldirish o‘quvchilar natijalariga salbiy ta’sir ko‘rsatadi PISA 2025 tadqiqotida sinovdan oldingi ikki hafta davomida kamida bir dars yoki bir kun maktabga bormagan o‘quvchilarning tabiiy fanlar bo‘yicha natijalari tahlil qilindi. 🇺🇿 O‘zbekistonda dars qoldirgan o‘quvchilarning natijasi dars qoldirmagan o‘quvchilarnikiga nisbatan 10 ball past bo‘lgan. 🌐 Davlatlarda ushbu farq: 🔹 Ozarbayjonda — 6 b…
👍3😁3❤2👏1🙏1
📊 PISA 2025: sun’iy intellektning ta'lim sifatiga ta'siri PISA 2025 tadqiqotida o‘quvchilarning sun’iy intellektdan maktab topshiriqlarini bajarishda qanday maqsadda foydalanishi hamda ularning tabiiy fanlar bo‘yicha natijalari o‘rganilgan. 🇺🇿 O‘zbekistonda sun’iy intellektdan haftasiga bir-ikki marta foydalangan o‘quvchilar barcha yo‘nalishlarda yuqoriroq natija ko‘rsatgan. Ularning o‘rtacha natijasi o'qigan matnd…
👍3👏1🔥1🙏1
Video message, posted without a caption
‼️‼️‼️ 🔺 PISA 2025 xalqaro baholash dasturi natijalari e’lon qilindi — O‘zbekiston o‘quvchilari qanday natija qayd etdi? Ta’lim forumi doirasida OECD tomonidan PISA 2025 xalqaro baholash dasturi natijalari rasman e’lon qilindi. Ta’kidlash joiz, O‘zbekiston PISA tadqiqotida ikkinchi marotaba qatnashdi. Mamlakatimizdan xalqaro tashkilot tomonidan tasodifiy tanlab olingan 233 ta maktabning 8 652 nafar 15 yoshli o‘q…
❤4👍2
DUNYO BO‘YLAB MAKTAB QACHON BOSHLANADI? Bizda sentabr oyining boshida, dunyoning turli mamlakatlarida esa o‘quv yili turli sanalarda boshlanadi. Nega sanalar turlicha? O‘quv yilining boshlanishiga mamlakatning iqlimi, fasllar, tarixiy va madaniy an’analari, ta’lim tizimining o‘ziga xos xususiyatlari hamda ta’til davri kabi omillar ta’sir qiladi.
👍5⚡2❤2👏1🔥1🙏1
📣 PISA 2025 tadqiqotida foydalanilgan test savollari ochiq ravishda e’lon qilindi! Avvalroq OECD tomonidan PISA 2025 xalqaro tadqiqotida foydalanilgan topshiriqlar ochiq e’lon qilinayotgani haqida xabar bergan edik. Navbatdagi ochiq topshiriq — “Braziliya pashshasi” bilan tanishishingiz mumkin. PISA 2025 natijalari ham mazkur Telegram kanali orqali e’lon qilinadi. 📱 Telegram
👍5❤1👏1🔥1🤝1
📢 TIMSS 2027 tadqiqoti doirasida uchrashuvlar davom etmoqda Bugun IEA Hamburgning xalqaro ma'lumotlar boshqaruvchisi (Senior Research Analyst, International Data Manager – TIMSS) Milena Taneva bilan uchrashuv bo'lib o'tdi. Uchrashuv davomida TIMSS 2027 tadqiqotining tajriba-sinov ma'lumotlarining tahlili va sinov materiallarini natijalar asosida ko'rib chiqish kabi masalalar muhokama qilindi. ℹ️ Ma'lumot uchun: TI…
❤3👍1👏1🔥1
✅✅✅✅ Bryusselda o‘tkazilayotgan TIMSS 2027 koordinatorlarining beshinchi uchrashuvida institut mas’ullari ishtirok etmoqda 23–28-avgust kunlari Bryusselda IEA tomonidan tashkil etilayotgan TIMSS 2027 koordinatorlarining beshinchi uchrashuvi bo‘lib o‘tmoqda. Unda IEA, Boston College TIMSS & PIRLS xalqaro tadqiqot markazi (ISC) ekspertlari, ishtirokchi mamlakatlar vakillari qatorida O‘zbekiston Respublikasi nomidan A…
❤4👍2👏2🔥2
📣OECD tomonidan PISA 2025 tadqiqotida foydalanilgan test savollari ochiq ravishda e’lon qilindi! PISA 2025 tadqiqotida foydalanilgan “Energiya manbalari” topshirig’i ochiq ravishda e’lon qilindi. Topshiriqning to’liq matni bilan quyidagi havola orqali tanishishingiz mumkin: 🔗 https://pisa2025-questions.oecd.org/CACERS033_EnergySource/CACERS033Q03.html?locale=uz-uz&dir=ltr Ma’lumot uchun: PISA 2025 tadqiqoti natij…
🔥7👍4👏4⚡1👌1
Showing the 11 most recent of 11 posts we hold for @xtmavloniy. 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 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Xalqaro tadqiqotlar markazi | International Studies Center I Avloniy Instituti” (@xtmavloniy), 912 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xtmavloniy.
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.