Multi-Level Speaking uchun eng aktual va eng foydali kanaldasiz!
• Imtihonda tushayotgan savollar
• Ular uchun BOMBA jonli darslar
• Speaking Mocklar
• Speaking Chellenjlar
• va boshqa SUPER materiallar!
Reklama: @MultiLevelRecordAds
Created
Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 53% 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. 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)
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. 4 of the 4 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 216 comparable posts for this entry, running 31 July 2026 to 13 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 key clone_mutual, 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
65 measurements spanning 99 days, net -2,889. 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 30,568–37,377 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
14 Nov 2026, 00:59
33,702
+43
11 Nov 2026, 10:46
33,659
+211
9 Nov 2026, 17:56
33,448
+2,094
8 Nov 2026, 10:11
31,354
-60
7 Nov 2026, 05:57
31,414
-74
6 Nov 2026, 02:36
31,488
-44
5 Nov 2026, 04:07
31,532
-33
4 Nov 2026, 06:41
31,565
-56
3 Nov 2026, 06:40
31,621
-67
2 Nov 2026, 06:37
31,688
-93
1 Nov 2026, 08:36
31,781
-136
31 Oct 2026, 07:29
31,917
-139
30 Oct 2026, 04:57
32,056
-75
29 Oct 2026, 03:41
32,131
-85
28 Oct 2026, 02:18
32,216
-64
27 Oct 2026, 01:07
32,280
-73
26 Oct 2026, 03:35
32,353
-89
25 Oct 2026, 01:36
32,442
-67
24 Oct 2026, 04:18
32,509
-61
23 Oct 2026, 04:57
32,570
first reading
Engagement
291 posts held, back to 31 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 188 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.4%
avg views ÷ 33,702 subscribers
Avg views / post
6,550
93 posts measured
Reaction rate
3.11%
reactions ÷ views · ER floor
Posts in window
93
of 291 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 13 November 2026
Posts held
291 (31 July 2026 – 13 November 2026)
Views total
608,860
Reactions total
18,916
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 11:22 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
Photos
593
Videos
169
Links
370
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2h 26m
Average length
6m 21s
Measured directly from 23 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
48,670 reactions across 291 posts, in 24 distinct kinds. The most used accounts for 30.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14,757
30.3%
🔥
6,955
14.3%
😁
5,662
11.6%
❤🔥
4,836
9.94%
🍓
4,489
9.22%
⚡
3,643
7.49%
🐳
3,251
6.68%
🌚
1,678
3.45%
🏆
982
2.02%
💯
887
1.82%
💔
467
0.96%
👏
456
0.937%
👍
259
0.532%
🦄
76
0.156%
👨💻
66
0.136%
😍
61
0.125%
🆒
46
0.095%
🤩
23
0.047%
🤝
20
0.041%
🎉
17
0.035%
4 further kinds
39
0.08%
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 291 of the 291 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 48,670 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 291 most recent posts we hold, published 31 July 2026 to 13 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
28
across the posts below
Posts paid on
6
of 291 we hold a reading for · 2%
Most on one post
18
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Multilevel_Speaking_Record. 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 291 most recent posts we hold for this entry, published 31 July 2026 to 13 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: 7 of 93 posts held from the last 30 days (7.53%) 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).
O’tgan yili May oyida Farg’onadan report qilingan savollar barmoq bilan sanoqli bo’lgandi (5-6 donagina). Shunchalik kam odam topshirgandi Farg’onadan.
Bu oy speaking imtihonga kirib chiqyotgan har 2 ta kandidatdan 1 tasi Farg’onadanga o’xshayapti 😅
December Intensive kursimizda bugundan darslar boshlandi 🔘
Ertalab o’quvchilarga kursimiz tartibi bo'yicha Multilevel Speaking Part 1 va Reading Part 1 bo'yicha video darslarim va uy vazifalarini berdik ✅
😊😊😊😊😊😊 Bugun kechga esa o'zim 1-jonli darsni o'tiberaman
Kursimizga qo'shilganlar bilan endi Dekabr imtihonigacha darslarni yondiramiz, qattiq ishlaymiz ❤️🔥
Qo’shilolmay qolganlarga bugun
ham imkon beramiz. L…
👧 Candidate name: Shukrona
🗓 Exam date: 13.11.2026
🇺🇿 City/Region: Farg'ona
Speaking part 1.1
1Describe your house
2Do you go to bed early or late
3 favorite drink
Part 1.2
Plane and train
Part 2
Failure
Part 3
Electric cars
👧 Candidate name: Muslima
🗓 Exam date: 13.11.2026
🇺🇿 City/Region: Fargʻona
1.1
Do you live in a house or a flat?
Who is your first teacher?
What is your favorite meal?
1.2
Plane vs train
Advan…
👦 Candidate name: Zuhriddin
🗓 Exam date: 13.11.2026
🇺🇿 City/Region: Qashqadaryo
part 1
do you work or study
do you use computer
what kind of music do you like
part 2
esimda yo
part 3
professional atleltar overpaid haqida edi anniq esimda yo
👧 Candidate name: Muslima
🗓 Exam date: 13.11.2026
🇺🇿 City/Region: Samarqand
Part 1.1
Room haqida
Uzbekcha foods
Do you like watching TV
Part 1.2
Supermarket va farmers market
P…
🔴 Bugunning ilk savoli
👦 Candidate name: Muhammadjon
🗓 Exam date: 13.11.2026
🇺🇿 City/Region: Andijon
📌 Speaking Part 1.1:
1. How do you go to school?
2. Describe an interesting place in your city
3. What is your favorite food?
📌 Speaking Part 1.2:
———
📌 Speaking Part 2:
Describe a time when you become aware of your personal or cultural identity.
📌 Speaking Part 3:
Space tourism should be banned.
Qiyin savollar …
Bugun haftaning oxirgi speaking kuni
Bugun speaking imtihonga kiruvchilarga OMAD, eng oson, o’ziz tayyorlangan savollar tushsin sizga, C1 lik javoblar kesin tilizga 🔥
Kirib chiqib bo’lib, tushgan savollarni iloji boricha to’liq qilib (eslolganizcha)
@MultiLevelRecord_Bot ga yuboring ✅
👧 Candidate name: Abdukarimova
🗓 Exam date: 12.11.2026
🇺🇿 City/Region: Fergana
Part 1.1
1 Do you like animals
2 what is your favourite TV shows?
Part 1. 2
Indoor sports and outdoor sports
What are the benefits of outdoor sports?
Why some people prefer gyms instead of outdoor sports?
Part 2
Describe an advice or wisdom given you that changed your perspective.
Why it is valuable in society?
Part 3
Space tourism should…
O’sha kunlar qaytdi.
Endi qo’llarizni issiqqina ko’rpadan tashqariga chiqarishni xohlamaysiz
Lekin chiqarib darsizni yoki ishizni qilishdan boshqa chora yo’q, mishig’izni oqiziiib 🐸
Oramizda huquq yo’nalishida o’qiydiganlar yoki o’qimoqchilar, advokat, tergovchi, yoki huquqshunos bo’lmoqchilar bormi?
Unda sizga “SUITS” serialini ko’rishni tavsiya qilaman. Meni yillardan beri must-watch listimda turardi, endi ko’ryapman 🔥
Kinoni sindirib qo’ygan. Yuqori skill, yuqori xarizma, yuqori xarakter, yuqori did, yuqori detallilik va sinchkovlik. Xullas, 10/10!
Ko’rganlar bormi SUITS 😎?
❤️🔥 — ko’rganm…
Bugun report qilingan savollarni bitta qilib mana bu telegraf faylga jamladik. Bugungi hamma speaking savollarni shu fayldan topishiz mumkin bo’ladi.
Novemberzodalar, darrov ko’z yugurtirib chiqing! 🔥
https://telegra.ph/Real-Exam-Multi-Level-Speaking-Questions-11112026-11-11
👧 Candidate name: Dilnura
🗓 Exam date: 11.11.2026
🇺🇿 City/Region: Navai
Part1.1
Describe your hometown
Boʻsh vaqtingda qatga borasan
Esimda yoʻq
Part1.2
1ta rasmda usti ochiq market local farmerniki 2cisi supermarket
Part 2
Your goal
Part 3
Video games are beneficial for children
👧 Candidate name: Muxlisa
🗓 Exam date: 11.11.2026
🇺🇿 City/Region: Jizzax
Speaking Part 1.1:
1. What is you favourite place at home?
2. W…
❤160🔥35⚡16🐳12❤🔥10🍓10🌚6🏆2
Showing the 12 most recent of 291 posts we hold for @Multilevel_Speaking_Record. 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.
Posts edited after publishing
@Multilevel_Speaking_Record edited 2 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
3 September 2026
Most recent edit
21 October 2026
Posts recorded as deleted after publishing
We recorded 16 posts on @Multilevel_Speaking_Record 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
7 August 2026
Most recent seen missing
6 November 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
3
Polls
The 6 most recent of 10 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.
🕺 “Unwind - dam olmoq, hordiq chiqarmoq” so’zining to’g’ri talaffuzi?
/ˌʌnˈwɪnd/44%
/ˌʌnˈwaɪnd/48%
Ikkoviyam to’g’riku8%
Shares as published. 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 291 most recent posts we hold, published 31 July 2026 to 13 November 2026. 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
Named by 5 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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@Multilevel_Speaking_Record named 1 handle 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.
@multilevelspeakingrecord named in 12 posts, 8 August 2026 – 30 September 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“Recent Speaking Questions” (@Multilevel_Speaking_Record), 33,702 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/Multilevel_Speaking_Record.
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.