Literature — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
7 measurements spanning 38 days, net -8. 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 334–347 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 01:56
335
-3
10 Sept 2026, 11:40
338
-3
2 Sept 2026, 05:34
341
-4
26 Aug 2026, 17:56
345
+6
19 Aug 2026, 19:04
339
-4
11 Aug 2026, 21:30
343
no change
11 Aug 2026, 21:18
343
first reading
Engagement
15 posts held, back to 5 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 11 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
122 reactions across 15 posts, in 19 distinct kinds. The most used accounts for 18.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5312026254751313956
22
18.0%
🔥
17
13.9%
😁
17
13.9%
💯
10
8.20%
🤣
8
6.56%
custom 5197605667401114461
7
5.74%
⚡
7
5.74%
❤🔥
6
4.92%
👏
6
4.92%
😭
6
4.92%
🕊
3
2.46%
🥰
3
2.46%
💔
2
1.64%
🤓
2
1.64%
🤯
2
1.64%
custom 5197443274687652653
1
0.82%
🏆
1
0.82%
👌
1
0.82%
🙏
1
0.82%
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 15 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 122 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 August 2026 to 11 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
3
of 15 we hold a reading for · 20%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jahongirmirzoversiyasi. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 15 most recent posts we hold for this entry, published 5 August 2026 to 11 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
"Hay ibn Yaqzon"
Birinchi falsafiy roman hisoblangan andulsiyalik faylasuf, tabib va huqushunis Ibn Tufaylning “Hay ibn Yaqzon” asari meni butkul mushohada ummoniga olib ketti. Bir o'tirishda o'qib tugatib qo'yganimni ham bilmay qoldim.
“Inson hech qanday tayyor bilim va ta’limotsiz haqiqatni anglay oladimi?” degan juda katta savolga qurilgan falsafiy go'zal qissa ekan.
Hay odamlar orasida emas, kimsasiz orolda ul…
Inson va erkinlik o'rtasidagi tub bog'liqlik Injildagi Odam Ato va Momo Havoning jannatdan quvilishi haqidagi rivoyatda yaqqol namoyon bo'ladi.
Erkak va ayol Adan bog'ida tabiat va bir-biri bilan mutlaq uyg'unlikda yashaydi. U yerda tinchlik va osoyishtalik hukm suradi. Mehnat qilishga ham, chuqur o'ylashga ham ehtiyoj yo'q.
Ularga faqat bitta taqiq qo'yilgan edi — yaxshilik va yomonlikni anglatadigan bilim daraxti…
"The Furious" (Живая ярость) (2026)
Janubi-sharqiy Osiyo xususan, indoneziyalik kinoijodkorlar vaqti vaqti bilan xatto Gollivud ijodkorlarini xam olqishlariga ega bo‘lib turishadi. Bu safar butun Gollivud va hatto Netflix ni ham e'tiboriga sazovor bo‘lgan mazkur filmni tavsiya qilmoqchiman. Yilning eng jangari va ekshn filmi, to'g'ri bu kabi filmlar bir martalik lekin, jang sahnalari uchun ham ko'rib zerikkanda dofa…
Kecha qizim kechki sayrda so'rab qoldi: Dada nega men yursam Oy va yulduzlar ham men bilan birga yuryapti?
Men Yerning aylanishi, parallaks effekti, kosmik masofalar, burchak siljishi va astronomik birliklar haqida oddiy narsalar bilan yaxshilab tushuntirib berdim. U esa jim eshitdi-da - Mayli, Oyimdan so'ray qolaman dedi...
Da Vinchining mazkur "tushunish" haqidagi fikrini undan 7 asrcha muqaddam nozil bo'lgan muqaddas kitob orqali aytilgan qissadagi falsafiy bayonini ko'rib chiqsak:
Qur'on Karimning Muso va Xizr alayhissalom qissasidagi vaqt va hikmat:
Kahf surasidagi Muso va Xizr alayhissalom qissasi insonning voqealarni darhol to‘liq anglay olmasligini ko‘rsatadi.
Qissadagi uch voqea — kemaning shikastlanishi, bolaning o‘limi va de…
"Disclosure Day" (2026)
Rej: Stiven Spilberg
Spilberg mezoni bilan baholansa, film biroz hafsalani pir qiladi. Ammo film yomon emas. Kadrlar jozibasi, montaj ritmi va 94 yoshli 5 karra Oscar sohibi buyuk bastakor Jon Uilyamsning musiqasi hali ham Spilberg qo'lini eslatib turadi. Emily Blant ham filmning hissiy og'irligini, Kolin Fert esa, qoyilmaqom salbiy obraz orqali film darjasini ancha ko'tarishgan. Ammo syujet …
Semiotika — bu belgilar, ramzlar va belgi tizimlarining ma'no yetkazish jarayonlarini o'rganadigan fandir. Bu fan ancha qadimiy, uni Platon va Aristotel ham o‘rgangan. Keyinchalik matematiklar, faylasuflar va adabiyotshunoslar ham bu mavzuga qiziqish bildirishgan.
Bilamizki, belgilar doim bizni qurshab turadi. Masalan, yozuv (belgilar, harflar), muloqot (ishora va ramzlar), buyumlar hammasi ma’lum ma’noni anglatadi.…
Meni tashvishga soladigan narsa shuki, Gomerning "Odissey"o‘lmas epik dostoni asosida shu kungacha o‘nlab kino va seriallar ishlangan va ishlanyapti. Gallivud va Ballivud ijodkorlari o‘z afsonalari, qadimgi dostonlari asosida she’rlar, romanlar yozishadi, tasviriy san’at asarlari yaratishadi, filmlar olib, ularni butun dunyoga tanitishadi. Biz esa olqishlar bilan ular taqdim etayotgan intellektual mahsulotlarni iste’…
😭4💯2💔1
Showing the 12 most recent of 15 posts we hold for @jahongirmirzoversiyasi. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“JahongirMirzo_versiyasi🌍” (@jahongirmirzoversiyasi), 335 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/jahongirmirzoversiyasi.
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.
