Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 33% 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.
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 word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (6 of the pairs behind the counts below)
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 0 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 16 comparable posts for this entry, running 23 November 2022 to 5 April 2026. 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).
Across the whole group of 3, the earliest publisher we hold is @fuqarolar_uz — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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 9 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 905–906 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 16:13
905
-1
6 Aug 2026, 14:16
906
no change
5 Aug 2026, 22:00
906
first reading
Engagement
17 posts held, back to 23 November 2022 — 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 pageof 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 5 April 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
320 reactions across 16 posts, in 16 distinct kinds. The most used accounts for 32.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
105
32.8%
🤬
87
27.2%
😢
41
12.8%
🤯
36
11.3%
🔥
13
4.06%
🤔
13
4.06%
❤
11
3.44%
😱
3
0.938%
😈
2
0.625%
😨
2
0.625%
😭
2
0.625%
🎃
1
0.313%
👎
1
0.313%
💩
1
0.313%
😁
1
0.313%
🤣
1
0.313%
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 16 of the 17 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 320reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 23 November 2022 to 5 April 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.
«Grand Capital» quruvchi kompaniyasi o'zining yangi loyihalarini faol reklama qilib, pul yig'ishda davom etmoqda, ammo ularning hozirgi ulushdorlari yillab o'zlarining qonuniy kvartiralarini ololmayaptilar.
Shaxnoza Niyazaxunova yozmoqda:
“Men «Lafayette» turar joy majmuasidan kvartira qurilishi bo'yicha shartnomani 2019-yil oktabr oyining oxirida tuzganman. Oradan 6 yildan ko'proq vaqt o'tdi, lekin va'da qilingan …
Строительная компания Grand Capital продолжает активно рекламировать свои новые проекты и собирать деньги, в то время как их нынешние дольщики годами не могут получить свои законные квартиры.
Пишет Шахноза Ниязахунова:
«Я заключила договор на строительство квартиры в ЖК Lafayette в конце октября 2019 года. Прошло уже более 6 лет, но от обещанных документов на дом до сих пор нет никаких вестей.
С лета прошлого года…
Maktab, bog‘cha va stadion va’da bo‘lib qoldi. Assalom Sohil turar-joy majmuasida ularning o‘rnini yangi uylar va tugamaydigan qurilish egalladi.
—
Школа, садик и стадион так и остались обещаниями. В ЖК Assalom Sohil их место заняли новые дома и нескончаемая стройка.
https://youtu.be/JHi-1VQ_GOg?si=f_LhB_VHv0U7Ks4a
❗️Murojaatlar uchun bot: @fuqarolar_bot
Fuqarolar.uz
https://youtu.be/0izbF522CuU
Toshkentda quruvchi hokimiyatning ruxsati bilan tarixiy “Mutaxassislar uyi” majmuasining muhofaza zonasida mahalla qo‘mitasi binosini buzib, mehmonxona qurishni rejalashtirmoqda. Bu noyob me’moriy merosni xavf ostiga qo‘yadi va madaniy merosni himoya qilish bo‘yicha qonunlarni buzadi. Mahalliy aholi noqonuniy qurilishga qarshi chiqib, qonunlarga rioya etilishini talab qilmoqda!
--
В Та…
Toshkent shahri, Yakkasaroy tumani, Salar ko’chasi 8 uyda istiqomat qiluvchi fuqarolardan.
Biz jabr ko’rishda davom etmoqdamiz!
Uyimizdan 1 metr masofada boshqa bino qurilishi uchun kotlovan qazilib
va ichi suvga to’lib yemirilish davom etmoqda.
Uyning yashovchilari uylari ichki qismi yorilgan. Atrof ichki avtoturargohlar xovlida yoriqlar paydo bo’lgan.
“Promax Construction point” Quruvchi kompaniya bilan majlis …
"10 yildan ortiq vaqt davomida Buxoroda “Wishbone” qahvaxonasi faoliyat ko‘rsatib kelmoqda edi, u barcha tashrif buyurgan sayyohlarni, mehmonlarni, mahalliy aholini ajoyib qahva bilan quvontirardi.
“Wishbone” qahvaxonasining asoschisi Gertrud Shrenk - Buxoroning ajoyib do'sti, u bizning shahrimizga, madaniyatimizga oshiq bo‘lgan bizning sherigimiz va hamkorimiz. 2008 yilda Gertrud Buxoroga ilk marotaba kelganida, u…
Shikoyat: Bektemir tumanida tugatilmayotgan qurilish / #Fuqarolar
▶️ YouTube: https://youtu.be/a-EpIArVPjY
To'liq shikoyat xati: https://telegra.ph/Toshkent-shahar-Bektemir-tumani-Husajn-Bojkaro-kuchasi-29B-04-20
❗️Murojaatlar uchun bot @fuqarolar_bot
Fuqarolar.uz
👍7
Showing the 12 most recent of 17 posts we hold for @fuqarolar_uz. 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.
Citation-graph rank
Citation-graph rank — 1,354,890 of 1,481,243entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“FUQAROLAR.UZ” (@fuqarolar_uz), 905 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/fuqarolar_uz.
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.