Local community — 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 16 August 2026 and assigned it the closest of 31 fixed categories, at 43% 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.
Views per post sit far above this size band
15,500 average views per post against 13,043 subscribers — an engagement rate of 119.2%. Across the 16,403 registered channels in the same cohort — 10,060–31,621 subscribers — the middle half sit between 3.20% and 17.2%, with a median of 7.92%.
What this was computed from
Window
30 days (25 September 2026 – 25 October 2026)
Posts measured
265 of 265 published in the window (5 exact, 260 rounded by Telegram)
Views totalled
4,120,537
Mature posts only
120.8% over 221 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 25 October 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.
Growth
96 measurements spanning 80 days, net -88,191. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 96
Measured (UTC)
Subscribers
Change
25 Oct 2026, 16:26
13,043
-99,175
25 Oct 2026, 13:07
112,218
+98,968
24 Oct 2026, 19:49
13,250
-99,484
24 Oct 2026, 12:30
112,734
+99,261
23 Oct 2026, 16:20
13,473
-100,110
23 Oct 2026, 13:17
113,583
-524
22 Oct 2026, 14:48
114,107
+100,398
22 Oct 2026, 13:46
13,709
-101,190
21 Oct 2026, 11:37
114,899
+100,874
21 Oct 2026, 08:27
14,025
-101,253
20 Oct 2026, 11:48
115,278
+101,050
20 Oct 2026, 07:05
14,228
-101,667
19 Oct 2026, 15:01
115,895
+101,402
19 Oct 2026, 07:40
14,493
-101,944
18 Oct 2026, 12:05
116,437
+101,733
18 Oct 2026, 10:56
14,704
-102,134
17 Oct 2026, 13:28
116,838
+102,016
17 Oct 2026, 07:28
14,822
-102,949
16 Oct 2026, 16:27
117,771
+102,673
16 Oct 2026, 06:36
15,098
first reading
Engagement
606 posts held, back to 4 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 141 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
119.2%
avg views ÷ 13,043 subscribers
Avg views / post
15,500
265 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
265
of 606 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 25 October 2026
Posts held
606 (4 August 2026 – 25 October 2026)
Views total
4,120,537
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 13:13 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
4h 57m
Average length
55s
Measured directly from 327 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.
#Байрам_муборак
💥👮♂️25-ОКТЯБР — ЎЗБЕКИСТОН РЕСПУБЛИКАСИ ИЧКИ ИШЛАР ОРГАНЛАРИ ХОДИМЛАРИ КУНИ!
🇺🇿ЭЛ-ЮРТ ТИНЧЛИГИ ЙЎЛИДА ХИЗМАТ ҚИЛАЁТГАН БАРЧА ФИДОЙИЛАРГА ЭҲТИРОМ!
Биз хотиржам ухлашимиз, фарзандларимиз тинч-осойишта улғайиши учун кечаю кундуз хизмат қилаётган барча ички ишлар ходимларини байрам билан чин қалбдан табриклаймиз!
💐Барчангизга мустаҳкам соғлиқ, оилавий бахт, шарафли ва машаққатли хизматингизда улкан м…
Нега катта, ўртанча ва кенжа фарзандларнинг характери ҳар хил бўлади?
Уларнинг улғайиш муҳити ва оиладаги ўрни характер шаклланишига қандай таъсир қилади?
Жавобини видеода билиб олинг
Батафсил 👉 @XORAZM
Энди Ўзбекистонда домдаги (йўловчи) лифтларда қурилиш материаллари ва чиқиндиларини ташиш тақиқланади.
Тақиқ лифтнинг юк кўтариш қобилиятидан қатъи назар амал қилади. Шунингдек, лифтларга ҳар ойда камида бир марта техник хизмат кўрсатилиши шарт.
Лифтлар "Хавфсиз лифт" электрон платформаси орқали бепул рўйхатга олинади.
Батафсил 👉 @XORAZM
Қандай махсулотлар фойдали ва қандай махсулотлар зарарли?
Сиз бу видеони охиригача кўриб ўзингизга керакли ва фойдали малумотларни билиб оласиз.
Яқинларга юбориб қўямиз!
Батафсил 👉 @XORAZM
Showing the 12 most recent of 606 posts we hold for @xorazm. 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.
Mentions
Named by 2 registered channels — 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Работа Хоразм Иш @urganch_xorazmda · 127,857 Telegram ranks this channel #23 of 49 here — alongside 48 others — read 19 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 25 October 2026 — this
entry's latest reading, not the date you are reading this.
“URGANCHLIKLAR | Расмий канали” (@xorazm), 13,043 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/xorazm.
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.
