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Channel

School English Teachers

@uz_teachers

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

50,295subscribers

+9,160 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002762686054
TypeChannel
Usernames@uz_teachers @uzteachers_new
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held126
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/uz_teachers

Topic

Education — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 3 other registered channels. 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)
Posted firstThenOverlapGap
@uz_teachers/2254 · this entry6 Nov 2026, 07:59 UTC@pedagoglar_uz/217576 Nov 2026, 11:40 UTC1.003.7 hours
@uz_teachers/1937 · this entry8 Sept 2026, 04:48 UTC@pedagoglar_uz/211328 Sept 2026, 15:59 UTC0.9611 hours
@uz_teachers/2004 · this entry19 Sept 2026, 05:53 UTC@pedagoglar_uz/2128519 Sept 2026, 16:29 UTC0.9511 hours
@pedagoglar_uz/208148 Aug 2026, 17:31 UTC@uz_teachers/1677 · this entry9 Aug 2026, 04:56 UTC0.9311 hours
@uz_teachers/1953 · this entry11 Sept 2026, 08:32 UTC@pedagoglar_uz/2116911 Sept 2026, 18:03 UTC0.919.5 hours
@pedagoglar_uz/2155514 Oct 2026, 02:31 UTC@uz_teachers/2090 · this entry14 Oct 2026, 04:37 UTC0.892.1 hours
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
ChannelMatching postsText overlapTypical gapPublished first
@pedagoglar_uz9 (8/8 hand-verifiable sample passed)0.9111 hoursthis entry (6–3)
@magistrlarofficial8 (8/8 hand-verifiable sample passed)0.9613 hours@magistrlarofficial (5–3)
@uztdi6 (6/6 hand-verifiable sample passed)0.9340 minutes@uztdi (6–0)

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. 14 of the 14 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 390 comparable posts for this entry, running 28 July 2026 to 10 November 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).

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 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.

Growth

41,04050,29545,667.57 August 202612 November 2026
126 measurements spanning 97 days, net +9,160. 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 39,652–51,683 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 126
Measured (UTC)SubscribersChange
12 Nov 2026, 11:1550,295+48
11 Nov 2026, 20:2850,247+221
10 Nov 2026, 08:3650,026+134
9 Nov 2026, 22:1049,892+245
8 Nov 2026, 22:0449,647+1
8 Nov 2026, 15:5149,646-11
7 Nov 2026, 14:0449,657no change
7 Nov 2026, 12:4849,657-17
6 Nov 2026, 15:4549,674-6
6 Nov 2026, 12:5749,680-14
5 Nov 2026, 14:2649,694no change
5 Nov 2026, 09:2549,694-35
4 Nov 2026, 16:3049,729-5
4 Nov 2026, 09:5649,734-34
3 Nov 2026, 15:5649,768no change
3 Nov 2026, 11:2949,768-45
2 Nov 2026, 12:3149,813-11
2 Nov 2026, 09:5849,824-50
1 Nov 2026, 09:5049,874no change
1 Nov 2026, 08:3049,874first reading

Engagement

442 posts held, back to 28 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 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.4%
avg views ÷ 50,295 subscribers
Avg views / post
17,800
156 posts measured
Reaction rate
0.747%
reactions ÷ views · ER floor
Posts in window
156
of 442 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held442 (28 July 2026 – 10 November 2026)
Views total2,773,660
Reactions total20,713
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:49 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
36m 52s
Average length
1m 56s

Measured directly from 19 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

67,606 reactions across 434 posts, in 63 distinct kinds. The most used accounts for 33.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍22,58833.4%
❤16,10723.8%
😁7,88611.7%
🤣4,3516.44%
🔥4,1896.20%
👎3,8705.72%
💯1,7032.52%
😱1,3031.93%
👏1,1091.64%
😢9251.37%
😭6540.967%
😡3620.535%
🥰2940.435%
❤‍🔥2690.398%
🙏2610.386%
🤯2270.336%
🎉2170.321%
🤬2050.303%
🤔1290.191%
⚡1220.18%
43 further kinds8351.24%

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 435 of the 442 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 67,606 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 442 most recent posts we hold, published 28 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.

Telegram Stars

Stars received
30
across the posts below
Posts paid on
19
of 439 we hold a reading for · 4%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @uz_teachers. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 442 most recent posts we hold for this entry, published 28 July 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 51 of 156 posts held from the last 30 days (32.7%) 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).

10 Nov 2026, 05:37 UTC≈13,000 views48 reactions1 Starread 11 November 2026
File

7-sinf Prepare! darsligining 2-chorakka ajratilgan holatdagisi 📱 @Uz_Teachers 🇺🇿

👍31❤13🔥2❤‍🔥1👏1

10 Nov 2026, 05:35 UTC≈11,400 views26 reactions1 Starread 11 November 2026
File

1-sinf Guess What darsligining 2-chorakka ajratilgan holatdagisi 📱 @Uz_Teachers 🇺🇿

👍17❤9

10 Nov 2026, 05:35 UTC≈10,600 views17 reactionsread 11 November 2026

📖 Student's book 1-11-sinflar 2-chorak Talablarga binoan barcha sinf darsliklarining aynan 2-choragi ajratilgan qismi. Ortiqcha varoqlari chiqarib tashlangan va ixcham shaklga keltirilgan. Pechat qilishga tayyor. 📱 @Uz_Teachers 🇺🇿 - Ingliz tili o'qituvchilari kanali

❤12🔥5

10 Nov 2026, 03:53 UTC≈42,200 views62 reactionsread 11 November 2026

❗️Ota-onalar farzandlarini muntazam ravishda maktabga kelishlarini ta’minlashi shart. «Ta’lim to‘g‘risida»gi Qonunning 51-moddasiga muvofiq, voyaga yetmagan ta’lim oluvchilarning ota-onalari yoki qonuniy vakillari farzandlarining ta’lim olishini, o‘quv mashg‘ulotlariga qatnashishini ta’minlashi hamda o‘zlashtirishini nazorat qilishi shart. O‘zbekiston Respublikasi Ma’muriy javobgarlik to‘g‘risidagi kodeksining 47-m…

❤39👍18🤔3👎2

10 Nov 2026, 03:10 UTC≈14,800 views61 reactionsread 11 November 2026
Photo

☀️ Good morning, dear teachers! ☕️ 📌 Bugungi metodika: "Guess Who?" — qahramonni toping 🕵️‍♀️ G'arbda mashhur bo'lgan oilaviy stol o'yini sinfga ko'chiriladi: o'yinchi raqibi yashirgan qahramonni uning tashqi ko'rinishi haqida savol berib topadi. O'quvchilar tashqi ko'rinishni tasvirlashga tez o'rganadi. Tayyorgarlik biroz vaqt oladi, lekin kartochkalarni saqlab qo'ysangiz, boshqa sinflarda ham yillar davomida ishl…

❤35👍18👏4🔥4

9 Nov 2026, 13:25 UTC≈17,900 views43 reactionsread 11 November 2026

Posted without readable text

❤35👍8

9 Nov 2026, 12:24 UTC≈20,500 views189 reactions1 Starread 11 November 2026
Photo

❗️ PhD va DSc olish tartibi o‘zgaradi: chet tili imtihoni bekor qilinishi mumkin! 🎓 O‘zbekistonda falsafa doktori (PhD) va fan doktori (DSc) ilmiy darajalarini olish tartibini yangilash rejalashtirilmoqda. Oliy attestatsiya komissiyasi (OAK) tomonidan yangi nizom loyihasi ishlab chiqildi. 📌 Asosiy o‘zgarishlar qanday? ✅ 1. Chet tili imtihoni bekor qilinadi 2027-yil 1-yanvardan ilmiy daraja olish uchun chet tili bo‘…

👍114❤54😁12🤣7🕊2

9 Nov 2026, 07:05 UTC≈22,300 views162 reactionsread 11 November 2026
Photo

“Bugun maktablarda davomat 50 foizni ham tashkil qilmayapti” — vazir Ta’lim va ilm-fan vaziri Erkinjon Turdimov maktablardagi o‘quvchilar davomati bilan bog‘liq jiddiy muammoga e’tibor qaratdi. 📉 Vazirning ta’kidlashicha, maktablarda davomat 50 foizga ham yetmayapti. Buning asosiy sabablari sifatida quyidagilar ko‘rsatildi: 🔹 Ayrim o‘quvchilar pul topish maqsadida ishlashga ketmoqda. 🔹 Ba’zi o‘quvchilar maktab o‘rn…

👍65🤣43❤41👎12😢1

9 Nov 2026, 04:49 UTC≈25,400 views74 reactionsread 11 November 2026
File

5-sinf Ingliz tili fanidan 2-chorak BSB ish reja (Yangi baholashga o'tgan maktablar uchun ) 📱 @Uz_Teachers 🇺🇿

❤60👍13🔥1

9 Nov 2026, 04:49 UTC≈16,300 views17 reactionsread 10 November 2026

Yangi baholash (summativ baholash) tizimiga o'tgan maktablar uchun BSB, CHSB ga o'zgartirilgan 2-chorak uchun ish rejalar, excel variantda👇👇👇 👉 Oddiy makablar uchun (2-chorak) 📱 @Uz_Teachers 🇺🇿

❤9👍8

9 Nov 2026, 04:07 UTC≈38,900 views183 reactionsread 10 November 2026
Photo

❗️Maktablarda II chorak darslari 10 noyabrdan boshlanadi Xabaringiz bo'lsa, 4-noyabr sanasidan o'quvchilar I chorakni yakunlab, ta'tilga chiqishgan edi. Ta'til so'nggi kuni 9-noyabr bo'lib, II chorak darslari 10 noyabr, seshanba kunidan boshlanadi. 📱 @Uz_Teachers 🇺🇿

😭142👍22❤9🌚5👎3🥰2

8 Nov 2026, 14:49 UTC≈18,300 views28 reactionsread 10 November 2026
File

Qashqadaryo viloyatida 18-19-20-noyabr kunlari o'tkaziladigan toifa imtihonlarida ishtirok etadigan ingliz tili o'qituvchilari ro'yxati 📱 @Uz_Teachers 🇺🇿

👍22❤2👏2🔥2

Showing the 12 most recent of 442 posts we hold for @uz_teachers. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@uz_teachers edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
21 September 2026
Most recent edit
23 October 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @uz_teachers as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
13 October 2026
Most recent seen missing
22 October 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1

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 17 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“School English Teachers” (@uz_teachers), 50,295 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/uz_teachers.

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.