National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 29 October 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 13 comparable posts for this entry, running 12 December 2020 to 18 June 2023. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @jizzaxcity_uzb. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
3 measurements spanning 83 days, net -1. 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 3–4 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Oct 2026, 09:19
3
-1
13 Aug 2026, 06:31
4
no change
7 Aug 2026, 20:54
4
first reading
Engagement
17 posts held, back to 4 December 2020 — 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 17 posts for this entry, the most recent from 18 June 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
21m 45s
Average length
5m 26s
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.
Ўзбекистонда ёшу-қари қайси касалликлардан кўпроқ вафот этаётгани маълум бўлди
2021 йилнинг январь-июнь ойларида 79,7 мингта (2020 йили 74,6 мингта) ўлим қайд этилган бўлиб, мос равишда 1000 аҳолига нисбатан ўлим коэффициенти 4,6 промиллени ташкил этди.
Давлат статистика қўмитаси хабарига кўра, ўлим ҳолатлари 2020 йилнинг мос даврига нисбатан 0,2 промиллега ошганлиги (2020 йилнинг январь-июнь ойларида 4,4 промилле б…
Ўзавтодан шартнома тиклангандан кейинги нархлар! Шартнома кутиб юрганлар, айниқса кобальт олмоқчи бўлганлар монополни бу ишини кечиришмаса керак. Чунки энг кўп навбат ва талаб шу комплектациядаги машиналарда!!! 😳😳😳
Нархлар яна ошибди. Ҳозир шартнома қилсангиз октябрда машинангиз келармиш...
❓Давлат хизматлари агентлиги сўровнома ўтказмоқда
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#sayyor_xizmat
❗️Вилоятимиз аҳолиси диққатига!!!
Ўзбекистон Республикаси Президенти Шавкат Мирзиёев томонидан эътироф этилган “маҳаллабай” тизимда ишни ташкил этиш йўналишида Жиззах вилоятида аҳолини давлат хизматларидан фойдаланиш маданиятини шакллантириш мақсадида Давлат хизматлари агентлиги Жиззах вилояти бошқармаси томонидан жорий йилнинг 20 февраль куни соат 9:00дан вилоятимизнинг чекка ва олис ҳудудларида я…
#Sangzor.uz'da_audio_xabarlar
Энди бизни нафақат ўқишингиз балки тинглашингиз ҳам мумкин!
Россия бозорида Ўзбекистон автомобилларига талаб тушиб кетди
Батафсил:▶️ https://bit.ly/37gxbbW
Telegram | Instagram | Facebook | Twitter | YouTube
Махсус автобуслар ва дамасларда кўрсатиладиган "сайёр" хизматлардан фойдаланаман4%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Signed Ҳакимжон Фозилов
Showing the 12 most recent of 17 posts we hold for @djizaknet. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
#Намунали_ДХМ_танлови
Сизнингча, хизмат кўрсатиш сифати, қулайлиги ҳамда яратилган шароитлар жиҳатидан намунали Давлат хизматлари маркази қайси?
Нукус шаҳар Давлат хизматлари маркази18%
Қоракўл тумани Давлат хизматлари маркази4%
Жиззах шаҳар Давлат хизматлари маркази20%
Қарши шаҳар Давлат хизматлари маркази6%
Конимех тумани Давлат хизматлари маркази3%
Поп тумани Давлат хизматлари маркази8%
Самарқанд тумани Давлат хизматлари маркази4%
Оҳангарон тумани Давлат хизматлари маркази16%
Тошлоқ тумани Давлат хизматлари маркази13%
Чилонзор тумани Давлат хизматлари маркази9%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 4 December 2020 to 18 June 2023. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@djizaknet named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@dxajizzaxbot named in 4 posts, 14 August 2026 – 14 August 2026
@jizzaxdxa named in 3 posts, 14 August 2026 – 14 August 2026
@davxizmat_lotin named in 1 post, 14 August 2026 – 14 August 2026
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 29 October 2026 — this
entry's latest reading, not the date you are reading this.
“Djizak.net -LIVE” (@djizaknet), 3 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/djizaknet.
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.
