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 16 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 52 days, net +55. 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 2,034–2,121 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Sept 2026, 14:21
2,099
+24
18 Sept 2026, 06:00
2,075
-13
10 Sept 2026, 20:19
2,088
-9
5 Sept 2026, 20:01
2,097
-14
1 Sept 2026, 12:25
2,111
+1
29 Aug 2026, 02:33
2,110
+48
23 Aug 2026, 07:46
2,062
-5
19 Aug 2026, 15:55
2,067
+4
16 Aug 2026, 18:35
2,063
+17
13 Aug 2026, 10:14
2,046
+2
10 Aug 2026, 02:28
2,044
-2
6 Aug 2026, 21:15
2,046
+2
6 Aug 2026, 13:31
2,044
no change
6 Aug 2026, 13:26
2,044
first reading
Engagement
16 posts held, back to 26 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10s
Average length
10s
Measured directly from 1 video 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
281 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 29.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
83
29.5%
🤩
72
25.6%
🕊
71
25.3%
😍
20
7.12%
⚡
15
5.34%
💯
15
5.34%
🐳
2
0.712%
🎉
1
0.356%
👨💻
1
0.356%
😁
1
0.356%
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 15 of the 16 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 281 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 July 2026 to 7 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.
❗️Ertaga yo’nalish tanlashning oxirgi kuni!
#abituriyent
Yo‘nalish tanlash uchun 1 kun vaqt qoldi. 8-avgust soat 23:59 ga qadar abituriyentlar o‘zlari tanlagan fanlar majmuasiga mos yo‘nalishni tanlashlari mumkin.
Ushbu muddat davomida yo‘nalish tanlamagan abituriyentlar tanlovda ishtirok etmaydi, ya’ni ular o‘qishga kira olmaydi. Necha ball olgan bo‘lishidan qat’i nazar.
To’g’ri, o’tgan yili yo’nalish tanlamaganl…
⚡️AVGUST va SENTYABR OYLARI UCHUN!
🎓 NOBEL MED XUSUSIY MAKTABI VA REPETITORLIK KURSLARIGA QABUL OCHIQ!
🩺 Shifokorlik yo‘nalishiga ixtisoslashtirilgan ta'lim!
📚 Asosiy fanlar:
✅ Kimyo ✅ Biologiya
✅ Ona tili ✅ Matematika ✅ Tarix
🏆 Natijalarimiz o‘z so‘zini aytadi! 10-sinf o‘quvchilarimiz 189 ball natijasi bo‘yicha respublika miqyosida yetakchi o‘rinlarni egallashdi.
🏠 Yotoqxona xizmati mavjud. 👨🎓 5-sinfdan 11-sin…
📢 Hurmatli ota-onalar!
Sizlarga ma'lum qilamizki, yangi o‘quv mavsumidan, ya'ni 2026-yil avgust oyidan boshlab Nobel maktabida to‘lov tizimida ayrim o‘zgarishlar amalga oshiriladi.
Hozirgi kunga qadar 1 200 000 so‘mlik oylik to‘lov tarkibiga ta'lim bilan bir qatorda bir mahal issiq ovqatlanish ham qo‘shimcha qulaylik sifatida (bonus qilib) taqdim etib kelinayotgan edi.
✅ Avgust oyidan boshlab ta'lim uchun oylik to…
📢 Hurmatli ota-onalar!
Assalomu alaykum!
Eslatib o'tamiz, 3-avgust (dushanba) kunidan o'quv jarayonlari yana o'z faoliyatini boshlaydi. 📚
🔹 Hozircha oq-qora maktab formasida kelish majburiy emas. Iltimos, farzandlaringizni ozoda, tartibli va o'quvchiga munosib kiyimda yuborishingizni so'raymiz.
👔 Maktab formasi sentabr oyidan boshlab majburiy hisoblanadi.
🤝 Hamkorligingiz va tushunishingiz uchun minnatdorchilik …
Har yili tibbiyot yoʻnalishidagi raqobat yanada kuchayib, oʻtish ballari yuqorilab bormoqda. Bu yil ham ballar ancha baland boʻlishi kutilmoqda.
Ammo ishonamizki, Nobel Med o‘quvchilari har bir tanlovni puxta tahlil qilib, o‘z bilim darajasi va to‘plagan ballariga munosib ravishda yo‘nalishlarini tanladilar.
Eng muhimi — oqilona tanlov, mustahkam bilim va Yaratganning marhamati. Inshaalloh, qilgan mehnatlar besamar…
💥 Nobelchilar uchun manzil bitta — Toshkent!
Toshkent davlat tibbiyot universiteti (Davolash ishi)🔥
👍49🤩6💯5😍4🕊2
Signed Hayotjon Karimov
Showing the 12 most recent of 16 posts we hold for @Nobel_school. 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 2 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.
ICC | KIMYO @icc_kimyo · 29,065 Telegram ranks this channel #26 of 89 here — alongside 88 others — read 8 September 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“NOBEL MED xususiy maktabi” (@Nobel_school), 2,099 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Nobel_school.
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.
