Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Growth
26 measurements spanning 92 days, net +2,294. 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 6,097–9,288 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
8 Nov 2026, 16:21
8,920
+19
5 Nov 2026, 14:56
8,901
+318
2 Nov 2026, 06:59
8,583
+153
30 Oct 2026, 17:18
8,430
+83
27 Oct 2026, 06:30
8,347
+124
24 Oct 2026, 13:15
8,223
+53
21 Oct 2026, 21:05
8,170
+71
18 Oct 2026, 15:08
8,099
+140
15 Oct 2026, 13:05
7,959
+162
12 Oct 2026, 11:27
7,797
+264
5 Oct 2026, 21:36
7,533
+41
28 Sept 2026, 22:21
7,492
+610
19 Sept 2026, 08:19
6,882
+257
14 Sept 2026, 23:40
6,625
+7
11 Sept 2026, 12:17
6,618
+153
7 Sept 2026, 03:40
6,465
-47
2 Sept 2026, 21:24
6,512
+1
30 Aug 2026, 10:47
6,511
-59
27 Aug 2026, 06:26
6,570
-55
24 Aug 2026, 08:47
6,625
first reading
Engagement
73 posts held, back to 4 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 22 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.0%
avg views ÷ 8,920 subscribers
Avg views / post
2,320
40 posts measured
Reaction rate
0.409%
reactions ÷ views · ER floor
Posts in window
40
of 73 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 33 of 40 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 November 2026
Posts held
73 (4 August 2026 – 9 November 2026)
Views total
92,660
Reactions total
305
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 23:48 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.
What this channel posts
Photos
≈1,620
Videos
≈311
Links
≈85
Lifetime counters from Telegram’s own channel header, read 10 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.
Video runtime
28m 53s
Average length
1m 09s
Measured directly from 25 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.
Reaction mix
373 reactions across 49 posts, in 14 distinct kinds. The most used accounts for 47.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
176
47.2%
👏
70
18.8%
👍
38
10.2%
🙏
33
8.85%
🔥
14
3.75%
🥰
14
3.75%
🤩
11
2.95%
🎉
6
1.61%
❤🔥
4
1.07%
💯
2
0.536%
🤝
2
0.536%
🕊
1
0.268%
😇
1
0.268%
😍
1
0.268%
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 53 of the 73 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 373 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 4 August 2026 to 9 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 40 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).
Международная олимпиада XPERTSTEM в Великобритании 2026–2027 гг 🇬🇧
Международная олимпиада XPERTSTEM в Великобритании проводится по математике, английскому языку, естественным наукам и программированию. В олимпиаде могут принять участие школьники с 2-го по 11-й класс.
Олимпиада XPERTSTEM состоит из двух этапов: отборочного тура и финального тура.
ОТБОРОЧНЫЙ ЭТАП
Отборочный этап олимпиады проходит в разных странах …
XPERTSTEM United Kingdom International Competition 2026-2027 🇬🇧
XPERTSTEM Buyuk Britaniya Xalqaro Olimpiadasi Matematika, Ingliz tili, Tabiiy fanlar, IT Dasturlash fanlaridan bo'lib o'tadi. Olimpiadada 2-11-sinf maktab o'quvchilari ishtirok eta olishadi.
XPERTSTEM Olimpiadasi 2 bosqichdan iborat: Qualification Round - Saralash bosqichi, FINAL Round - Final bosqichi
SARALASH BOSQICHI
Olimpiadaning Saralash bosqichi…
AVSTRALIYA 🇦🇺 100% GRANT YÖLLANMA ĞOLIBI
17-18-Oktabr kunlari Özbekiston öquvçilari uçun NextGeneration Avstraliya Xalqaro Olimpiadasi Milliy bosqiçi bölib ötdi. Bunda Respublikaning turli hududlaridan Davlat va Nodavlat maktablari 1-11-sinf öquvçilari iştirok etişdi.
Özbekiston Milliy bosqiçida 🇺🇿 eng yuqori natija körsatgan 1 nafar öquvçiga IRN Olympiads Xalqaro Fan Olimpiadalar Taşkiloti tomonidan 13-21-Aprel ku…
NextGeneration Avstraliya Xalqaro Olimpiadasi Milliy bosqiçi Buxoro viloyati Taqdirlaş marosimi 🏆🥇🥇🥇
Avstraliyaning NextGeneration Xalqaro Olimpiadasi Özbekiston Milliy bosqiçida iştirok etib, yuqori natija körsatgan holda, Oltin 🥇, Kumuş 🥈 va Bronza 🥉 Medallari sovrindorlariga aylangan Buxoro viloyat hududi ğoliblari IRN Olympiads Xalqaro Fan Olimpiadalar Taşkiloti tomonidan taqdirlandilar
Bu natija öquvçilarning y…
USTOZ UÇUN BYD AVTOMOBILI 🚘
Ustozlarning Respublika miqyosida reytinglari şakllantiriladi. Eng yuqori reytingda bölgan 50 dan ortiq ustozlar IRN OLYMPIADS Taşkiloti tomonidan rağbatlantiriladi.
Eng yuqori Reytingdagi ustoz uçun IRN Olympiads Taşkiloti tomonidan Avtomobil - “BYD Yuan Up” modeli
Keyingi 10 nafar pedagoglar uçun - 10,000,000 UZS dan umumiy 100,000,000 UZS Moddiy mukofot
Keyingi 40 nafar pedagoglar …
IRN Olympiads Xalqaro Fan Olimpiadalar Taşkiloti tomonidan öquv yili davomida bölib ötadigan Respublika va Xalqaro Fan Olimpiadalarida faol iştirok etib, Oltin 🥇, Kumuş 🥈 va Bronza 🥉 Medallarini qölga kiritgan har bir öquvçining Fan öqituvçisiga Taşkilot tomonidan maxsus “COIN” lar beriladi
Har bir Oltin 🥇 Medal uçun - 5 ta Coin
Har bir Kumuş 🥈 Medal uçun - 4 ta Coin
Har bir Bronza 🥉 Medal uçun- 3 ta Coin
Har bir öq…
IRN Republic Mathematics and English Olympiads Preparation Materials 📚🏆🥇
IRN Respublika Matematika va Ingliz tili Olimpiadasi tayyorgarlik topshiriqlari 📚🏆🥇
IRN Республиканская Олимпиада по Математике и Английскому Материалы для подготовки 📚🏆🥇
@IRN_Coordinator_Main
@IRN_Olympiads_Materials
IRN Republic Mathematics and English Olympiads Preparation Materials 📚🏆🥇
IRN Respublika Matematika va Ingliz tili Olimpiadasi tayyorgarlik topshiriqlari 📚🏆🥇
IRN Республиканская Олимпиада по Математике и Английскому Материалы для подготовки 📚🏆🥇
@IRN_Coordinator_Main
@IRN_Olympiads_Materials
IMTIHON MUHITINI 1-SINFDANOQ HIS QILIŞ VA ÖRGANIŞ BIR UMRLIK TAJRIBADIR
Köplab öquvçilar, ustozlar uçraydigan doimiy eng katta muammolardan biri bu - dars davomida öquvçi yaxşi özlaştiradi, savollarga töğri javob beradi, vazifalarni töğri bajaradi, lekin imtihon kuni kelganda, natija kutilganidan ança past çiqadi. Muammo - öquvçining bilimida emas, balki, imtihon muhitiga moslaşmaganlik, hayajon va qörquvdadir.
Xö…
IMTIHON MUHITINI 1-SINFDANOQ HIS QILIŞ VA ÖRGANIŞ BIR UMRLIK TAJRIBADIR
Köplab öquvçilar, ustozlar uçraydigan doimiy eng katta muammolardan biri bu - dars davomida öquvçi yaxşi özlaştiradi, savollarga töğri javob beradi, vazifalarni töğri bajaradi, lekin imtihon kuni kelganda, natija kutilganidan ança past çiqadi. Muammo - öquvçining bilimida emas, balki, imtihon muhitiga moslaşmaganlik, hayajon va qörquvdadir.
Xö…
🥰4❤2🎉2🔥2💯1
Showing the 12 most recent of 73 posts we hold for @IRN_Olympiads_Materials. 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.
Mentions
Named by 4 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.
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.
Appears in Telegram’s recommendations for other channels
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.
Ravi Study GK @RaviStudyIQGK · 192,899 Telegram ranks this channel #71 of 79 here — alongside 78 others — read 11 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“IRN Olympiads Materials” (@IRN_Olympiads_Materials), 8,920 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/IRN_Olympiads_Materials.
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.