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🤖 AI & ML Learner
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Bog'lanish: @abdukakhkharov98
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Politics & activism — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 28% 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
24 measurements spanning 87 days, net +1,186. 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 6,495–10,439 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
7 Nov 2026, 20:44
8,571
-116
4 Nov 2026, 16:56
8,687
-142
1 Nov 2026, 12:30
8,829
-125
29 Oct 2026, 08:31
8,954
-182
26 Oct 2026, 17:05
9,136
-215
23 Oct 2026, 10:09
9,351
-91
20 Oct 2026, 20:11
9,442
+1,216
17 Oct 2026, 19:01
8,226
-108
14 Oct 2026, 12:37
8,334
-129
10 Oct 2026, 17:38
8,463
-218
5 Oct 2026, 01:01
8,681
-446
25 Sept 2026, 17:15
9,127
-602
17 Sept 2026, 11:57
9,729
-255
13 Sept 2026, 03:56
9,984
+710
9 Sept 2026, 08:18
9,274
+467
3 Sept 2026, 16:41
8,807
+163
31 Aug 2026, 14:17
8,644
+204
29 Aug 2026, 00:08
8,440
+1,490
26 Aug 2026, 04:16
6,950
-122
22 Aug 2026, 19:55
7,072
first reading
Engagement
30 posts held, back to 5 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.5%
avg views ÷ 8,571 subscribers
Avg views / post
1,670
9 posts measured
Reaction rate
1.83%
reactions ÷ views · ER floor
Posts in window
9
of 30 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
30 (5 July 2026 – 10 November 2026)
Views total
15,061
Reactions total
275
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 12:22 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.
What this channel posts
Photos
330
Videos
119
Links
100
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 32s
Average length
53s
Measured directly from 4 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
1,038 reactions across 30 posts, in 8 distinct kinds. The most used accounts for 29.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
305
29.4%
🔥
279
26.9%
😁
240
23.1%
👍
143
13.8%
😱
25
2.41%
😢
21
2.02%
🎉
14
1.35%
🤩
11
1.06%
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 30 of the 30 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 1,038 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 5 July 2026 to 10 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: 1 of 9 posts held from the last 30 days (11.1%) 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).
Ilmda eng xavfli holatlardan biri — ozgina bilim olib, o‘zini olim deb e’lon qilishdir.
4 ta kitob o‘qib, 2 ta atamani yodlab, bir nechta videoni ko‘rib olgan odam ba’zan boshqalarning fikrini mensimay qo‘yadi. Savol berganni bilimsiz, o‘zidan tajribaliroq insonni esa eskicha fikrlaydi deb hisoblaydi.
Asl ilm esa insonni kibrli emas, kamtar qiladi. Chunki chinakam o‘rgangan odam bilmagan narsalari qanchalik ko‘plig…
Bugun BPIC loyihasining yopilish marosimi bo‘lib o‘tdi.B2B uchrashuvlarda qatnashib, ko‘plab taassurotlar,yangi tanishuvlar va hamkorlik g‘oyalari bilan qaytyapman.
Xitoylik hamkorlar O‘zbekistonda ko‘rgan muammolarimizga yechim taklif qilishga, birga ishlashga tayyor ekanini bildirishdi. Ayrim masalalarda esa bizdan o‘rganish istagini ham aytishdi.Norasmiy memorandumlar tuzildi, kontaktlar almashildi.
Yurtimizga i…
Барча амалдорларнинг шахсий маълумотларини сотиб юбориш керак
Вазиру ҳокимлардан тортиб барча амалдорларнинг шахсий маълумотларини 200 долларга сотиб юбориш керак, деб ҳисоблаймиз. Чунки ўз танасида ҳис қилмагунча улар аҳолини бир тийинга олмаяпти.
Хабарингиз бор, ўтган ҳафта кўплаб одамларнинг шахсий маълумотлари интернетга тарқалиб кетди. Энг ачинарлиси, маълумотлар ҳукумат ташаббуси билан ишлаб чиқилган мобил ил…
«Aka, biz aslida kechikyapmiz…»
Hozirgina Starbucks’dan nonushta qilib chiqdim. Soat — ertalabki 6:30.
Ichkariga kirganimda ikki xitoylik maktab o‘quvchisi kofe va baozi olish uchun navbatda turgan ekan. Gaplashgim kelib, o‘zimni chet ellik emas, shinjonlik deb tanishtirdim.
— O‘qishga ketyapsizlarmi? Darslaringiz shunchalik erta boshlanadimi? Nega buncha sahardan tayyor bo‘lib olgansizlar? — deb savolga tutdim.
…
Bugun BYD zavodidan mehmonxonaga qaytayotgandik. Yo‘lda bir chiroyli binoni ko‘rib, hammamizning ko‘zimiz tushdi.
— O‘, shu yerga ham kelaylik! — dedik.
Surishtirsak, bino buddaviylar ibodatxonasi ekan.
— Unda kechqurun kelamiz, — dedik.
Shunda bizni olib yurgan hamrohimiz jiddiy qiyofada:
— Yo‘q, kechqurun Budda uxlaydi, — dedi.
Shu gapdan keyin barcha musulmonlar haholab kulib yubordik.
Xiamen (厦门市) shahridagi tashriflarimizni yakunlab, hozir Sanming (三明市) sari yo‘l olyapmiz. Navbatdagi manzilimiz — Shaxian zamonaviy amaliy yong‘in-qutqaruv kompleks o‘quv bazasi.
Xiamendagi tashriflar, biznes egalari bilan uchrashuvlar juda yaxshi taassurot qoldirdi. Har bir suhbatda yangi fikr, har bir tashrifda o‘rganishga arzigulik jihatlar bor ekan.
Hayotimni shunday rang-barang qilayotgan, yangi joylarni ko‘r…
Hozirgina operatsiya bo'layotgan bemorlarni ko'rdim. Operatsiyani 1 kishi robot bilan birga bajaryapti.
Jarayonni rasmga olishga ruxsat berishmadi, ammo bu professorni aytishiga qaraganda yaqin 5-10 yilda operatsiyani to'liq robotlar qo'lga oladi deyapti.
Bilaman Sizlar ham ishonmayapsiz, professor ham hozirgina aytdi men ham 20 yil oldin bunday darajaga chiqamiz deb ishonmasdim.
Hozir esa men shunchaki xonamda o'…
Xitoydan xabarlar!
Xiamen shahrida BPIC New Industry “Golden Egret” xalqaro loyihasi doirasidagi uchrashuvlar davom etmoqda.
🇺🇿 BPIC vakillarini o‘zbekistonlik talabalar uchun xitoy tilini o‘rganishga stipendiyalar ajratish, O‘zbekiston bilan hamkorlikni kengaytirish va qo‘shma loyihalarni amalga oshirish tashabbuslariga qiziqtira oldim.
TianMa, KingLong, BioMec va ITMGROUP bilan tanishuvlar orasida ikki texnologi…
Bugun rahbar bilan bo'lgan majlisda bir gapni eshitib qoldim:
“Ta’limda 2 xil toifalar bor, ular konservativ fikrlaydiganlar va zamonaviy fikrlaydiganlar.”
Menimcha, bizda birinchi toifa ancha ko‘p.
Dunyo sun’iy intellektni ta’limga integratsiya qilish, individual ta’lim trayektoriyalarini yaratish, bilimdan ko‘ra kompetensiyani baholash haqida gapiryapti. Bizda esa ayrim joylarda haligacha davomat, konspekt, qog…
https://t.me/oblakouz/29544
👆 shu postga munosabatim
❗️ TA’LIMNI NAZORAT QILAMIZ DEB, YANA XALQNING CHO‘NTAGIGA QO‘L SOLINADIMI?
Maktabda davomat bo‘lishi kerak. Bola sababsiz dars qoldirmasligi ham kerak. Bunga hech kim qarshi emas.
Lekin muammoning yechimi yana JARIMA bo‘lishi shartmi?
Ota-ona farzandini maktabga yubormadi — jarima.
Takrorlandi — yana kattaroq jarima.
Yana takrorlandi — millionlab so‘m jarima.…
Bugun The Guardianda Yaponiya ta’lim tizimi haqida bir maqolani o‘qib qoldim. Undagi bir fikr meni ancha o‘ylantirdi:
“We gave our teachers the respect of an Emperor, the immunity of an Ambassador, and the salary of a Minister.”
Ikkinchi jahon urushidan keyin Yaponiya juda og‘ir ahvolda edi. Urushdagi mag‘lubiyat, vayron bo‘lgan shaharlar, iqtisodiy qiyinchiliklar… Shunday bir vaziyatda ular mamlakat kelajagini qay…
🔥17👍7🎉6❤3
Showing the 12 most recent of 30 posts we hold for @abdukakhkarov_blog. 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
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Abdukakhkharov Yorkin | Private Blog” (@abdukakhkarov_blog), 8,571 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/abdukakhkarov_blog.
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.