Telegram RegisterThe public register of Telegram
Telegram profile photo for Multi-Level Record (C2 Level Teacher)

Channel

Multi-Level Record (C2 Level Teacher)

@MultiLevelRecord

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

222,963subscribers

+26,489 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001907777867
TypeChannel
Username@MultiLevelRecord
Description• MultiLevel 74 va IELTS 8.5 olgan teacherdan video-darslar • Eng aktiv Ingliz tili kanali • Faqat original kontent. To contact: @AbrorRahmatullaev Reklama: @MultiLevelRecordAds
CreatedBetween 1 March 2023 and 31 December 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/MultiLevelRecord

Topic

Education — 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 8 August 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 2 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
@AbrorRahmatullayev/1624511 Aug 2026, 12:08 UTC@MultiLevelRecord/42704 · this entry11 Aug 2026, 12:28 UTC1.0020 minutes
@MultiLevelRecord/42705 · this entry11 Aug 2026, 12:42 UTC@AbrorRahmatullayev/1624611 Aug 2026, 12:42 UTC1.00under a minute
@MultiLevelRecord/42699 · this entry11 Aug 2026, 07:34 UTC@AbrorRahmatullayev/1624711 Aug 2026, 13:02 UTC1.005.5 hours
@MultiLevelRecord/42994 · this entry24 Aug 2026, 15:31 UTC@AbrorRahmatullayev/1643424 Aug 2026, 15:42 UTC1.0011 minutes
@MultiLevelRecord/42997 · this entry24 Aug 2026, 15:57 UTC@AbrorRahmatullayev/1643524 Aug 2026, 15:58 UTC1.00under a minute
@MultiLevelRecord/45276 · this entry3 Nov 2026, 15:33 UTC@AbrorRahmatullayev/177923 Nov 2026, 15:34 UTC1.0072 seconds
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
@AbrorRahmatullayev46 (8/8 hand-verifiable sample passed)0.971.7 hoursthis entry (33–13)
@Multilevel_Speaking_Record8 (8/8 hand-verifiable sample passed)0.997.7 hours@Multilevel_Speaking_Record (5–3)

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. 18 of the 18 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 1,287 comparable posts for this entry, running 6 August 2026 to 11 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_mutual · clone_source, 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.

Growth

195,901224,661210,281222,9637 August 202611 November 2026
65 measurements spanning 96 days, net +26,489. 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 191,587–228,975 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 01:46222,963-869
9 Nov 2026, 07:58223,832+392
7 Nov 2026, 19:40223,440-9
6 Nov 2026, 19:18223,449-1,212
5 Nov 2026, 19:52224,661+5,758
4 Nov 2026, 16:34218,903+9,580
3 Nov 2026, 18:26209,323-158
2 Nov 2026, 20:20209,481-212
1 Nov 2026, 23:30209,693-279
1 Nov 2026, 02:41209,972-711
31 Oct 2026, 02:56210,683-38
30 Oct 2026, 04:11210,721-14
29 Oct 2026, 03:30210,735-81
28 Oct 2026, 02:18210,816-153
27 Oct 2026, 02:56210,969-88
26 Oct 2026, 02:40211,057-60
25 Oct 2026, 02:29211,117-93
24 Oct 2026, 04:36211,210-305
23 Oct 2026, 03:09211,515-165
22 Oct 2026, 02:39211,680first reading

Engagement

1,733 posts held, back to 6 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 198 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.77%
avg views ÷ 222,963 subscribers
Avg views / post
15,100
537 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
538
of 1,733 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 11 November 2026
Posts held1,733 (6 August 2026 – 11 November 2026)
Views total8,110,920
Reactions total116,309
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 14:16 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
≈19,200
Videos
≈3,770
Links
≈4,860

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
67h 07m
Average length
28m 34s

Measured directly from 141 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

188,184 reactions across 997 posts, in 18 distinct kinds. The most used accounts for 43.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤81,67243.4%
🔥26,84614.3%
❤‍🔥21,19311.3%
😁14,4857.70%
💯6,7413.58%
👍4,8512.58%
⚡4,7882.54%
😍4,2152.24%
🐳3,7852.01%
👏3,7311.98%
💘3,7211.98%
🤝2,6461.41%
😎2,3681.26%
✍1,8440.98%
🏆1,6140.858%
🌚1,5590.828%
🎉1,5580.828%
😇5670.301%

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 998 of the 1,000 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 188,184 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 September 2026 to 11 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
249
across the posts below
Posts paid on
87
of 998 we hold a reading for · 9%
Most on one post
65
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MultiLevelRecord. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 17 September 2026 to 11 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: 56 of 538 posts held from the last 30 days (10.4%) 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).

11 Nov 2026, 14:11 UTC≈1,520 views26 reactionsread 11 November 2026
Video

▶️ Advanced Grammar ❓ Writing va Speaking grammatikayizni oshirmoqchimidiz? Mana bu dars sizga yordam beradi. Darsda mana bu complex gap strukturalarini tushintirganman: 🩷in order to / so as to 🩷with a view to / with the purpose of 🩷so that / in order that — Agar bularni siz yaxshi bilsayiz, bilmaydigan tanishizga darsni yuborib qo'ying. Sharing is caring :) 👍 Join: @MultiLevelRecord

👍7❤5🐳3👏3❤‍🔥2🌚2🔥2😎2

11 Nov 2026, 13:26 UTC≈6,320 views76 reactionsread 11 November 2026
File

🚀 Shablonlar | Strukturalar Bu faylda, Multi-Level Speaking Part 1.2 qismi uchun: 🖼 Picture comparison qilish uchun kerakli formula, shablonlar, strukturalar, grammatika va so’zlar 💭 Ketidan so’raladigan advantage / preference haqidagi 2 ta savol uchun ham formula, shablonlar, strukturalar, grammatika va so’zlar O’rganasiz. 🌌 Join: @MultiLevelRecord

❤35🔥15❤‍🔥10🌚4👍4🏆2🐳2😍2

11 Nov 2026, 12:54 UTC≈8,330 views49 reactionsread 11 November 2026
Photo

— Hozir Ingliz tili darajayiz A2-B1 va siz yangi yilni boshida CEFR / IELTS sertifikati olishni reja qilyapsizmi? — Avvalgi natijangiz B1 chiqqan va siz buni tog'irlamoqchimisz? Do'stlar, aynan shunday holatdagi o'quvchilar uchun bizda hozir online General English kursimiz mavjud. Kursimizda asosiy e’tibor: ✅ Speaking va Writing uchun eng kerakli grammar mavzular ✅ Vocabulary & Speaking & Writing ✅ Reading & Liste…

❤21🐳9🔥6🏆5👏5❤‍🔥1👍1🤝1

11 Nov 2026, 11:36 UTC≈10,700 views101 reactionsread 11 November 2026
Photo

⚡️Ideas for Writing / Speaking 🧑‍🎓Topic: Student's Concentration — Shu mavzusiga yetarlicha idea ola oling, Writing / Speaking da qiynalmaysiz :) ✅️Join: @MultiLevelRecord

❤53❤‍🔥14👏12👍7🔥6🐳3🏆2💘2

11 Nov 2026, 11:15 UTC≈11,000 views104 reactions5 Starsread 11 November 2026

Kitob zo'r ayniqsa Writing olishni tavsiya qilaman, olilar kam bomislar.

🔥50❤22🤝12🐳7👏6⚡3✍2❤‍🔥2

11 Nov 2026, 11:04 UTC≈10,800 views138 reactions5 Starsread 11 November 2026
Video message

Video message, posted without a caption

🔥63❤24👏16❤‍🔥15🏆5🐳5💘5🎉4

11 Nov 2026, 10:39 UTC≈12,100 views77 reactionsread 11 November 2026

Posted without readable text

❤32🔥21✍10💘6❤‍🔥3🤝3👍2

11 Nov 2026, 09:56 UTC≈11,900 views124 reactionsread 11 November 2026
Photo

Hozirgina offline darsimizda eng ko'p tushayotgan Speaking savollarni ko'rib chiqdik. Va ulardan eng aktuali - Describe a failure mavzusiga sample tayyorladik. Enjoy, ladies and gentlemen! @MultiLevelRecord

❤‍🔥55❤35🔥12👍5💘5🤝5🐳3🌚2

11 Nov 2026, 09:45 UTC≈12,600 views84 reactionsread 11 November 2026
Video

🗣 Video for Shadowing 🔥 Speakingni oshirmoqchi bo’lganlar albatta shadowing bilan shug’ullaning. Instruksiyalar: 1. Angelina Jolie so’zlagan nutqni tinglang 2. Eng kamida 10 marta Angelinaga qo’shilib ortidan qaytaring gaplarini 3. 11-martadagi urinishingizni audio qilib kommentga yuboring 🚀 Join: @MultiLevelRecord

💘35❤20🔥13❤‍🔥5🐳4🌚3🏆2🎉1

11 Nov 2026, 08:46 UTC≈13,700 views103 reactionsread 11 November 2026

Posted without readable text

❤66⚡11🔥9👏6❤‍🔥4🌚2💘2🎉1

11 Nov 2026, 07:26 UTC≈15,700 views104 reactionsread 11 November 2026

✅ PHRASAL VERBS FOR SPEAKING 💩 Bring up – tilga olmoq, muhokama uchun mavzuni ko‘tarmoq 👉 Example: He always brings up controversial topics in conversations. 💩 Figure out – tushunmoq, yechimini topmoq 👉 Example: I haven’t figured out the solution to this problem yet. 💩 Come across – tasodifan duch kelmoq 👉 Example: I came across an old friend yesterday. 💩 Get along (with) – til topishmoq, yaxshi munosabatda bo…

❤57🔥15❤‍🔥13🐳8😎3🌚2🏆2😇2

11 Nov 2026, 05:41 UTC≈18,100 views623 reactionsread 11 November 2026

🔴 Bugun tushgan savollar 👧 Candidate name: Ganjina 🗓 Exam date: 11.11.2026 🇺🇿 City/Region: Surxondaryo 📌 Speaking Part 1.1: 1. Do you study or work? 2. What kind of music do you like ? 3. Do you use computer? 📌 Speaking Part 1.2: In the first picture a group of people having a breakfast at restaurant. 2nd a woman cooking at home. 📌 Speaking Part 2: Tell me about a situation that was completely out of your control…

❤414🔥88❤‍🔥40🏆17👏12🐳11😎11⚡10

Showing the 12 most recent of 1,733 posts we hold for @MultiLevelRecord. 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

@MultiLevelRecord 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
13 August 2026
Most recent edit
19 October 2026

Posts recorded as deleted after publishing

We recorded 1 post on @MultiLevelRecord 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
7 August 2026
Median time before seen missing
26 hours
Seen missing in the last 30 days
0

Polls

The 6 most recent of 15 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.

6 Nov 2026, 13:25 UTCAnonymous Quiz7,230 voters approx.

Ruhiy kasallik

  1. Mental illness71%
  2. Mental disorder29%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Nov 2026, 13:20 UTCAnonymous Quiz7,480 voters approx.

Qaramlik

  1. Addiction66%
  2. Dissociation34%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Nov 2026, 13:15 UTCAnonymous Quiz7,620 voters approx.

Ishlashdan charchash

  1. Grief from work49%
  2. Burnout51%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Nov 2026, 13:10 UTCAnonymous Quiz7,800 voters approx.

Maslahat berish

  1. Narcissism16%
  2. Counseling84%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Nov 2026, 13:04 UTCAnonymous Quiz8,000 voters approx.

Ijtimoiy bezovtalik

  1. Social anxiety74%
  2. Hallucination26%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

30 Oct 2026, 09:22 UTCAnonymous Poll7,040 voters approx.

Qanday natija kutasiz, real

  1. B243%
  2. C150%
  3. Just to see the results of the poll👀15%

The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 September 2026 to 11 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

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 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Abror Rahmatullayev
@AbrorRahmatullayev · 158,169
#1
Sirojiddin's blog
@RS_IELTS · 129,527
#2
Muxtasar | ENGLISH
@muxtasar_english · 59,251
#3
REAL EXAM PAPERS
@mindless_writer · 84,748
#4
Michael's Blog
@Michael_Blog · 11,566
#5
ARTICLES 365 | Muratovich
@articles365 · 85,289
#6
Teacher_Muzaffar
@multileveltest · 24,115
#7
Barno Mukimova Official
@barnomukimova_official · 32,787
#8
Mustafa | Study More 🇬🇧
@Ieltswithmustaffa · 58,765
#9
Linguabarno
@linguabarno · 56,008
#10
Multilevel Bekzod
@MultilevelBekzod · 68,785 (as read 11 August 2026)
#11
CefrWithDemo
@cefrwithdemo · 23,837
#12
Recent MultiLevel
@RecentMultiLevel · 26,389
#13
Asilbek Yusupov | IELTS 9.0 | W 8.5
@AsilbekYusupov · 9,725
#14
Multilevel Mokhida
@MultilevelMokhida · 172
#15
Multi-level test | Teacher Khushnoza
@Multi_level_test · 17,505
#16
G'anisher Otaboyev | Blog
@otaboyevblog · 37,276
#17
XAUUSD GOLD MASTER
@abdulbosids_life · 55
#18
School English Teachers
@uzteachers · 55,833
#19
IELTS/CEFR with Mirsaid
@IELTS_CEFR_with_Mirsaid · 6,683
#20
🔴𝚂𝙿𝙴𝙰𝙺𝙸𝙽𝙶 𝙼𝙾𝙲𝙺 𝙴𝚅𝙴𝚁𝚈𝙳𝙰𝚈🔴
@Ielts_speaking_mock_everyday · 12,411
#21
Teacher Nozimjon | Multilevel
@Nozimjonsblog · 23,137
#22
Multilevel Listening C1 Achiever
@multilevel_listening_practice · 65,720
#23
𝙄𝙀𝙇𝙏𝙎 & 𝘾𝙀𝙁𝙍 𝙎𝙀𝘾𝙍𝙀𝙏𝙎 🇬🇧🇺🇿
@IELTS_CEFR_SECRETS · 25,559
#24
MULTILEVEL(CEFR) FULL MOCKS✨
@Freefullmock · 26,629
#25
Speaking for IELTS | Lifestyle
@Khusan57 · 96,992
#26
Abdurazzoq | Archive
@Abdurazzoq_IELTS · 24,596
#27
Jakhongir IELTS 9.0 💊 (Almazz)
@jakhongir_ielts_9 · 40,963
#28
Shoxruxbek Olimov
@shoxruxbekolimov · 54,726
#29
RM 1.0
@ozodbek_sk · 10
#30
Ibragim Mansurov
@ibragimmansurov_blog · 56,999
#31
BM | IELTS 9.0
@BekzodMirahmedov · 42,568
#32
PODCAST and SHADOWING🖇
@shadowing_podcasts · 36,384
#33
Alisher&Mukhammadali posts
@alisherposts · 29,402
#34
Jo’rabek Sanokulov | IELTS
@ieltswithsanokulov · 53,193
#35
IELTS | Atabaev | 9.0
@ielts_atabaev · 17,863
#36
Dilshodbek Ravshanov (9.0)
@ieltsaidbydilshodbek · 24,672
#37
sirojiddin_livee
@sirojiddin_livee · 1
#38
Ulug'bek Umidjonov
@ulugbekumidjonov · 10,578
#39
Alex (IELTS 9)
@AlexNativeIELTS · 19,149
#40
Nurulloh | Archive
@Nurulloh_Archive · 4,374
#41
ONLINE | iTeacher Academy
@online_academy_iteacher · 5,529
#42
Dilmurod Nazarmatov | 9.0
@Dilmurod_nazarmatov · 6,395
#43
MULTILEVEL (CEFR) FREE MOCK
@MULTILEVELlllll · 101,085
#44
Yuldoshev's Blog
@YuldoshevG · 6,954
#45
IELTS ZONE 9.0
@ieltszone_uz · 42,467
#46
IELTS CDI Report
@cdireport · 47,205
#47
Alisher’s IELTS | 9.0
@alisher_abduvohobov · 130,757
#48
Asalkhon Sharipova | Grants
@asalkhon_sharipova · 18,636
#49
Sobitov’s library🪐
@libaryof · 6,995
#50
Articles in English
@articles_in_English · 62,224
#51
Jahon xabarlari | Rasmiy kanal
@Jx_uzb · 789,061
#52
TED TALKS
@daily_tedtalks · 45,158
#53
Edu - Taʼlim yangiliklari
@eduuz_DTMuzb_Abituriyent_mandat · 218,582
#54
Ielts topic-based vocabulary
@topic_based_vocabulary · 24,041
#55
WriteUP
@RiteUp · 3,675
#56
QORAXABAR - Tezkor xabarlar | Rasmiy kanal
@qoraxabar · 816,271
#57
Behruz's Blog
@behruz_american · 16
#58
TOP VOCABULARY
@Diyorbek_EFL · 7,195
#59
Bekhruz Muradov
@Bekhruz_Muradov_IELTS_lessons · 3,242
#60
Xushnudbek.uz
@xushnudbek · 754,128
#61
Anvarov’s blog
@anvarovsblog · 40,024
#62
Quiet Thoughts
@quotes_sk · 6,032
#63
Her Bios
@yanafsu · 13,131
#64
Abdurazzoq | Notes
@Abdurazzoq_notes · 16,104
#65
Grantlar.uz
@grantlar · 79,399
#66
Bobirjon's Blog | IELTS 9 | SAT 1600
@BobirjonsThoughts · 15,769
#67
Road Podcast | BBC 6 minute English
@Road_Podcast · 93,992
#68
Alisher Sadullaev
@alisher_sadullaev · 221,363
#69
Xushnudbek - o‘ta shaxsiy
@xushnudbekuz · 114,502
#70
🛜 INLINE • TV
@FUTBOLTV_SPORTTV_UZSPORT_TV6 · 308,388
#71
𝐌𝐨𝐨𝐧𝐥𝐢𝐠𝐡𝐭✨
@Moonlight_pg1 · 61,042
#72
BUGUNGI GAP | Расмий канал
@BugungiGap · 914,086
#73
.
@MubashshirAhmad · 30,762
#74
ХОКИМ БУВА | Расмий канал
@HokimBuva_Xokim_Buva · 1,348,548
#75
Sara Xabarlar - Tezkor Yangiliklar
@Sara_Xabarlar · 2,322,299
#76
Xayrulla Hamidov official
@xayrulla_hamidov · 386,551
#77
OPER UZ | Расмий канал
@OPER_UZ · 997,292
#78
GrantGO
@grantgouz · 48,714
#79

Read from Telegram’s recommendation API, most recently 11 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.

CefrWithDemo
@cefrwithdemo · 23,837
Telegram ranks this channel #1 of 75 here — alongside 74 others — read 16 September 2026
Teacher_Muzaffar
@multileveltest · 24,115
Telegram ranks this channel #1 of 81 here — alongside 80 others — read 14 September 2026
Teacher Nozimjon | Multilevel
@Nozimjonsblog · 23,137
Telegram ranks this channel #1 of 78 here — alongside 77 others — read 12 September 2026
𝙄𝙀𝙇𝙏𝙎 & 𝘾𝙀𝙁𝙍 𝙎𝙀𝘾𝙍𝙀𝙏𝙎 🇬🇧🇺🇿
@IELTS_CEFR_SECRETS · 25,559
Telegram ranks this channel #1 of 74 here — alongside 73 others — read 12 September 2026
MULTILEVEL(CEFR) FULL MOCKS✨
@Freefullmock · 26,629
Telegram ranks this channel #1 of 76 here — alongside 75 others — read 11 September 2026
Multilevel Master Mock Tests
@multilevelmastermock · 47,968
Telegram ranks this channel #1 of 71 here — alongside 70 others — read 11 September 2026
Multilevel Mock C1 Achiever
@multilevel_mock_C1_achiever · 27,986
Telegram ranks this channel #1 of 78 here — alongside 77 others — read 11 September 2026
Recent MultiLevel
@RecentMultiLevel · 26,389
Telegram ranks this channel #1 of 78 here — alongside 77 others — read 10 September 2026
School English Teachers
@uzteachers · 55,833
Telegram ranks this channel #1 of 81 here — alongside 80 others — read 24 August 2026
Multilevel Mokhida
@MultilevelMokhida · 172
Telegram ranks this channel #1 of 77 here — alongside 76 others — read 21 August 2026
Multilevel Listening C1 Achiever
@multilevel_listening_practice · 65,720
Telegram ranks this channel #1 of 77 here — alongside 76 others — read 21 August 2026
Abror Rahmatullayev
@AbrorRahmatullayev · 158,169
Telegram ranks this channel #1 of 77 here — alongside 76 others — read 13 August 2026
Multi-level | Cefr Testing
@Cefr_Testing · 1,175
Telegram ranks this channel #2 of 74 here — alongside 73 others — read 31 August 2026
English with Aleena
@englishwithaleeno · 28,717
Telegram ranks this channel #3 of 66 here — alongside 65 others — read 5 September 2026
MULTILEVEL ZONE
@Multilevel_zone · 219,844
Telegram ranks this channel #3 of 62 here — alongside 61 others — read 25 August 2026
Murphy by Mr.English
@MurphyMrENGLISH · 23,874
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 16 September 2026
Multilevel Study
@MultilevelStudy · 2,152
Telegram ranks this channel #6 of 74 here — alongside 73 others — read 27 September 2026
Teacher Sardor | Writing 8.5 (T2)
@teacheersardor · 18,978
Telegram ranks this channel #6 of 74 here — alongside 73 others — read 23 September 2026
Multilevel Master Audios
@Multilevel_Listening_Audios · 20,786
Telegram ranks this channel #6 of 75 here — alongside 74 others — read 21 September 2026
Attestatsiya| SHEROVA 👑
@attestatsiyaaa_sherova · 39,455
Telegram ranks this channel #9 of 76 here — alongside 75 others — read 2 September 2026
MULTILEVEL MOCK TEST
@MULTILEVEL_MOCKN1 · 23,182
Telegram ranks this channel #10 of 72 here — alongside 71 others — read 17 September 2026
ARTICLES 365 | Muratovich
@articles365 · 85,289
Telegram ranks this channel #10 of 80 here — alongside 79 others — read 18 August 2026
PREPARE Coursebook
@prepare_darslik · 27,289
Telegram ranks this channel #11 of 61 here — alongside 60 others — read 16 September 2026
Linguabarno
@linguabarno · 56,008
Telegram ranks this channel #11 of 79 here — alongside 78 others — read 22 August 2026

This channel appears in 137 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Multi-Level Record (C2 Level Teacher)” (@MultiLevelRecord), 222,963 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/MultiLevelRecord.

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.