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 21 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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
4 measurements spanning 18 days, net -16. 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 559–579 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 20:56
561
-10
10 Sept 2026, 16:15
571
-5
1 Sept 2026, 15:58
576
-1
1 Sept 2026, 04:15
577
first reading
Engagement
18 posts held, back to 14 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.8%
avg views ÷ 561 subscribers
Avg views / post
111
1 post measured
Reaction rate
12.6%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 27 August 2026
Posts held
18 (14 July 2026 – 27 August 2026)
Views total
111
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 04:15 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
Video runtime
18s
Average length
18s
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
168 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 56.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
95
56.5%
💯
30
17.9%
🔥
17
10.1%
👍
14
8.33%
😢
11
6.55%
😁
1
0.595%
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 17 of the 18 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 168 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 14 July 2026 to 27 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.
Inson o'zining hayotini to'g'ri yo'lga qo'ya olmagandan keyin, o'ziga , nafsiga xo'jayinlik qila olmagandan keyin bu bo'shliqni to'ldirish uchun , birovlarning hayotiga burun suqishni, ularga maslahat berishni yoki ularga hasad qilishni boshlaydi.
@kitobxona_uzz
Pol Breggning "Ochlik Mo'jizasi"i kitobini o'qir ekansiz ochlik orqali erishiladigan ko'pchilik bilmaydigan 3 ta Qora Qoidaga duch kelasiz:
1-Qoida: "Tana aqlsizdir. Materiya ustidan Ongning mutlaq g'alabasi!"
Odamlarning aksariyati o'zining oshqozoni va arzimas his-tuyg'ulari quliga aylanib qolgan.
Inson o'z irodasi bilan ovqatdan voz kechib, ochlikka chidaganda, u shunchaki jismonan tozalanmaydi, balki o'z miyasig…
U butun umr otasini toshbag‘ir, his-tuyg‘ulardan yiroq, so‘zlamas odam deb bilardi. Otasi hech qachon uni bag‘riga bosib erkalatmagan, "seni yaxshi ko‘raman" demagan, hatto bolaligida yiqilib tizzasi qonaganida ham yupatish o‘rniga, indamaygina yelkasidan qoqib, "tur, yigit kishiga o‘xsha" deyish bilan cheklangan edi. U otasining bu daraja sovuqqonligidan doim og‘rinib yashadi va o‘sib-ulg‘aygach, bu dimiq ko'ngilsiz…
Nuh ibn Maryamning bog'ida ishlovchi Muborak ismli yigitning halolligi otani lol qoldiradi. Kunlarning birida ota bog'bondan shirin anor olib kelishni so'raganda, u nordon anor olib keladi. "Shuncha paytdan beri ishlab, qaysi anor shirin, qaysi biri nordonligini bilmaysanmi?" deb so'raganida, Muborak: "Siz meni bog'ingizni qo'riqlashga yollagansiz, mevasidan yeyishga emas. Men ularning bittasini ham tatib ko'rmaganma…
Biz qaysi o'lchamda yashaymiz?
Kundalik biologik va vizual idrokimiz darajasida biz 3 o'lchamli (3D) fazoviy olamda yashaymiz. Bu o'lchamlar makondagi o'rnimizni belgilaydi:
X o'qi: Uzunlik
Y o'qi: Kenglik
Z o'qi: Balandlik
Biroq, Albert Eynshteynning nisbiylik nazariyasidan kelib chiqilsa, biz Yevklidning oddiy mutlaq uch o'lchamli makonida emas, balki 4 o'lchamli fazo-vaqt uzluksizligida yashaymiz. Bu modelda vaqt…
Assalomu aleykum azizlar, kim qaysi kitob mutolaasida?
Qaysi kitobni o'qishni xohlayapsiz, lekin hali boshlamadingiz?
"Yosh verterning iztirobi" asarini kim o'qigan?
Tungi uyg'onish arxetipi: Tahajjudning neyrofiziologik siri
Inson biokimyosi va sirkad ritmlari (biologik soat) quyosh sikliga qat'iy bo'ysunadi. Tunda butun tana, xususan, markaziy asab tizimi o'z-o'zini tiklash va "o'chish" rejimiga o'tadi. Ammo tunning oxirgi uchdan bir qismida (tahajjud vaqtida) ixtiyoriy ravishda uyqudan voz kechish va ibodatga turish — bu oddiy harakat emas, balki biologik qoliplarni yorib o't…
Marafon davomida guruhda oddiy joylardan topib bo'lmaydigan, kamdan-kam insonlar biladigan kvant fizikasi, metafizika va ong ostiga oid nodir kitoblardan eng kuchli iqtiboslarni ulashib boraman.
Oy oxirida esa o'z ustida ishlagan, irodasini toblab, barcha shartlarni uzluksiz bajargan ishtirokchilarni shaxsan o'zim quyidagi sovg'alar bilan taqdirlayman:
🥇 1-o'rin uchun: "Nurdan damlama" kitoblar to'plami. 🥈🥉 2- va 3-o…
Yangi o'quv-ish yilini kuchli iroda bilan boshlaymiz. "Intizom marafoni" uchun maxsus ochiq guruh tashkil qilyapman. Bunga o'zini o'zgartirishga, nafsi bilan kurashishga jazm qilgan har bir inson qatnashishi mumkin.
Yo'limiz oson bo'lmaydi, chunki biz quyidagi shartlar asosida yashashga odatlanamiz:
Uyg'onish va baraka nafasi (05:00 - 06:00) Barchamiz bilamizki, kunning eng toza, eng sokin va rizq ulashiladigan pal…
Inson tik turganda Ego (aql) doim Yurakdan balandda turadi. Biz mantiq va g'ururimiz orqali dunyoni boshqarishga urinamiz.
Sajda — bu arxetipik o'zgarishdir. Bu holatda koinotdagi eng mo'jizaviy geometrik shakl yuzaga keladi: Mantiq (bosh) Ilohiy ruh (yurak) darajasidan pastga tushadi. Ya'ni, "Men o'zimning ojiz aqlimgamas, Sening ilohiy irodangga taslimman" degan kod ishga tushadi. Yurak (qalb) boshqaruvni o'z qo'l…
❤10💯1🔥1😁1
Showing the 12 most recent of 18 posts we hold for @kitobxona_uzz. 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.
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.
TIBBIY BUYRUQLAR @tibbiy_buyruqlar · 27,998 Telegram ranks this channel #9 of 74 here — alongside 73 others — read 18 September 2026
TOIFA JAVOBLARI ⚕️ @toifa_javoblari · 58,485 Telegram ranks this channel #13 of 58 here — alongside 57 others — read 1 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Kutubxona” (@kitobxona_uzz), 561 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/kitobxona_uzz.
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.