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Channel

Alex (IELTS 9)

@AlexNativeIELTS

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

19,152subscribers

-937 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001613216641
TypeChannel
Username@AlexNativeIELTS
Description🇺🇸 Native Speaker 🇺🇿 Living in Uzbekistan 🏆 IELTS OVERALL 9 L9 | R9 | W8 | S9 📌 TESOL certified Courses - @IELTS9Alex 📌 TG/Inst/YT-@AlexNativeIELTS RASMIY ALEX KANAL
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/AlexNativeIELTS

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 10 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 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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
@AlexNativeIELTS/6621 · this entry10 Aug 2026, 07:24 UTC@Shahzods_IELTS/556111 Aug 2026, 07:44 UTC1.0024 hours
@Shahzods_IELTS/556718 Aug 2026, 12:13 UTC@AlexNativeIELTS/6629 · this entry18 Aug 2026, 12:13 UTC1.00under a minute
@AlexNativeIELTS/6627 · this entry18 Aug 2026, 05:03 UTC@Shahzods_IELTS/556818 Aug 2026, 15:25 UTC1.0010 hours
@Shahzods_IELTS/557728 Aug 2026, 11:13 UTC@AlexNativeIELTS/6634 · this entry28 Aug 2026, 11:14 UTC1.00under a minute
@Shahzods_IELTS/558531 Aug 2026, 10:40 UTC@AlexNativeIELTS/6642 · this entry31 Aug 2026, 10:41 UTC1.0072 seconds
@Shahzods_IELTS/558731 Aug 2026, 13:14 UTC@AlexNativeIELTS/6644 · this entry31 Aug 2026, 13:14 UTC1.00under a minute
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
@Shahzods_IELTS10 (8/8 hand-verifiable sample passed)1.00under a minute@Shahzods_IELTS (7–3)

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. 6 of the 7 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 34 comparable posts for this entry, running 19 July 2026 to 9 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @Shahzods_IELTS. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

Growth

19,15220,11219,6326 August 20269 November 2026
64 measurements spanning 95 days, net -937. 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 19,008–20,256 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
9 Nov 2026, 21:0819,152-22
8 Nov 2026, 09:5119,174-10
7 Nov 2026, 03:4719,184-5
6 Nov 2026, 05:4019,189-15
5 Nov 2026, 06:1019,204-12
4 Nov 2026, 07:3119,216-10
3 Nov 2026, 08:0619,226-12
2 Nov 2026, 10:3719,238-10
1 Nov 2026, 12:4019,248-4
31 Oct 2026, 14:0919,252-7
30 Oct 2026, 11:3919,259-17
29 Oct 2026, 11:5719,276-11
28 Oct 2026, 14:0919,287-9
27 Oct 2026, 15:2019,296-12
26 Oct 2026, 13:3519,308-2
25 Oct 2026, 10:2819,310-13
24 Oct 2026, 10:4619,323-18
23 Oct 2026, 08:3619,341-31
22 Oct 2026, 08:3019,372+14
21 Oct 2026, 03:1619,358first reading

Engagement

95 posts held, back to 15 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 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 19,152 subscribers
Avg views / post
2,170
23 posts measured
Reaction rate
0.594%
reactions ÷ views · ER floor
Posts in window
23
of 95 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 9 November 2026
Posts held95 (15 July 2026 – 9 November 2026)
Views total49,802
Reactions total296
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:58 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
≈1,300
Videos
≈229
Links
≈651

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
1m 31s
Average length
30s

Measured directly from 3 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

2,922 reactions across 90 posts, in 9 distinct kinds. The most used accounts for 43.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣1,26843.4%
🔥87930.1%
⚡2358.04%
👍1444.93%
🤔1294.41%
😎852.91%
🎉812.77%
💯732.50%
😢280.958%

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 92 of the 95 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 2,922 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 95 most recent posts we hold, published 15 July 2026 to 9 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
5
across the posts below
Posts paid on
5
of 95 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AlexNativeIELTS. 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 95 most recent posts we hold for this entry, published 15 July 2026 to 9 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: 0 of 23 posts held from the last 30 days (0%) 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).

9 Nov 2026, 13:35 UTC952 views10 reactionsread 11 November 2026
Photo

Bepul Reading Marathon 📖 IELTS 9.0 (Reading 9.0) sohibi Ozodbek Botiraliyevdan 20 kunlik bepul marafon! Reading’dan qiynalib yurgan o‘quvchilar uchun ajoyib imkoniyat. 🚀 Start: 15-noyabr ⏳ Davomiyligi: 20 kun Marafon mutlaqo bepul va ochiq! Hech qanday shart yo‘q. Hoziroq qo‘shiling 👇 https://t.me/+HqMjWPtit844ZmY6

🔥10

8 Nov 2026, 04:42 UTC≈1,310 views19 reactionsread 11 November 2026

200% natija bo'ladgan kurs guys

🔥12🤔7

8 Nov 2026, 04:08 UTC≈1,360 views4 reactionsread 11 November 2026
Photo

SUPER INTENSIVE INDIVIDUAL COURSE 27.0 Teachers: Mr Alex👨🏼‍💻🇺🇸 ( Overall 9 ) Mr Shahzod 👨🏻‍💻🇺🇿 ( Overall 8.5 ) 📌 Speaking mocks with Alex Native Speaker 🇺🇸 📌 1 Oy davomida harkun jonli dars (20:00 - 21:30 ) 📌 Individual etibor va nazorat harkunlik 📌 FAQAT 8 TA O‘QUVCHI SARALAB TANLAB OLINADI! - Judayam kuchli etibor bo'ladi degani albatta har bir o'quvchiga Price - 2 million sums 💰 Kursga qo'shilish uchun o'zimg…

🔥3⚡1

6 Nov 2026, 18:14 UTC≈1,250 views12 reactionsread 11 November 2026
File

🔥 READING 9.0 OLASIZLAR ENDI, PROSTO WOW! 🚀 IELTS Reading testlarida eng ko‘p uchraydigan, eng muhim 1000 ta yuqori darajadagi C1–C2 so‘zlarni bitta joyga yig‘dim! 😍 🇬🇧 1000 ta inglizcha so‘z 🇺🇿 O‘zbekcha tarjimasi 🇷🇺 Ruscha tarjimasi

🔥11⚡1

5 Nov 2026, 03:19 UTC≈1,760 views6 reactionsread 11 November 2026
Voice message

TOPIC 13 - T-SHIRTS 👕👚 🇺🇸BAND 9 MOCK FROM ALEX 🇺🇸Candidate: Alex 🇺🇿 Examiner: Abdiev Shahzod

🔥6

5 Nov 2026, 03:19 UTC≈1,940 views8 reactionsread 11 November 2026
Voice message

TOPIC 10 - FISH 🐡🐬🐳 The text is here 🇺🇸BAND 9 MOCK FROM ALEX 🇺🇸Candidate: Alex 🇺🇿 Examiner: Abdiev Shahzod

🔥7⚡1

5 Nov 2026, 03:19 UTC≈1,450 views4 reactionsread 11 November 2026
File

🇺🇸 IELTS BAND 9 SPEAKING MOCK 🔥 🗣 Candidate: Alex 🇺🇸 🎓 Examiner: Shahzod Abdiev 🇺🇿

🔥4

5 Nov 2026, 03:18 UTC≈1,350 views6 reactionsread 11 November 2026
Video message

Video message, posted without a caption

🔥5⚡1

5 Nov 2026, 03:18 UTC≈1,250 views4 reactionsread 11 November 2026
Video message

Video message, posted without a caption

💯4

5 Nov 2026, 03:18 UTC≈1,500 views13 reactionsread 11 November 2026
Video message

Video message, posted without a caption

👍8💯4🔥1

5 Nov 2026, 03:18 UTC≈1,250 views7 reactionsread 11 November 2026
Video message

Video message, posted without a caption

👍5⚡2

5 Nov 2026, 03:18 UTC≈1,370 views3 reactionsread 11 November 2026
Video message

Video message, posted without a caption

⚡2🔥1

Showing the 12 most recent of 95 posts we hold for @AlexNativeIELTS. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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.

RM 1.0
@ozodbek_sk · 10
#1
Jakhongir IELTS 9.0 💊 (Almazz)
@jakhongir_ielts_9 · 40,963
#2
BM | IELTS 9.0
@BekzodMirahmedov · 42,568
#3
Jo’rabek Sanokulov | IELTS
@ieltswithsanokulov · 53,262
#4
Ulug'bek Umidjonov
@ulugbekumidjonov · 10,576
#5
Speaking for IELTS | Lifestyle
@Khusan57 · 96,992
#6
IELTS | Atabaev | 9.0
@ielts_atabaev · 17,863
#7
ARTICLES 365 | Muratovich
@articles365 · 85,289
#8
REAL EXAM PAPERS
@mindless_writer · 84,598
#9
Dilmurod Nazarmatov | 9.0
@Dilmurod_nazarmatov · 6,416
#10
IELTS ZONE 9.0
@ieltszone_uz · 42,467
#11
Michael's Blog
@Michael_Blog · 11,566
#12
Nurulloh | Archive
@Nurulloh_Archive · 4,374
#13
ONLINE | iTeacher Academy
@online_academy_iteacher · 5,529
#14
Asilbek Yusupov | IELTS 9.0 | W 8.5
@AsilbekYusupov · 9,725
#15
Alisher’s IELTS | 9.0
@alisher_abduvohobov · 132,401
#16
Articles in English
@articles_in_English · 62,224
#17
🔙RECENT IELTS🔜
@RECENT_IELTS · 17,357
#18
Everest Official
@everestofficial · 37,572
#19
Nodirjon's IELTSmates
@ieltsmates_results · 6,790
#20
Mamura Yuldasheva | MY9
@mamura_yuldasheva9 · 4,321
#21
Sobitov’s library🪐
@libaryof · 6,995
#22
Fazliddin Giyosov | IELTS 9.0
@Fazliddin_Giyosov · 6,849
#23
British Council Uzbekistan
@British_Council_Uz · 19,652
#24
Linguabarno
@linguabarno · 56,008
#25
Ielts topic-based vocabulary
@topic_based_vocabulary · 24,041
#26
IELTS 9.0 √Suhrobjon Abdivaliev
@writing_t · 33,995
#27
The INTELLECTUALS / 9.0 (2x)
@ieltsboyko · 8,143
#28
Sardor Erkinov | IELTS
@IELTS_Sardor · 13,032
#29
iTeacher | Team
@iTeacherUlugbekOfficial · 6,517
#30
Temurbek Akbaraliyev | IELTS 8.5
@temurbekakbaraliyev · 4,315
#31
IELTS Speaking Assistants
@ielts_assistants · 20,867
#32
Sirojiddin's blog
@RS_IELTS · 129,527
#33
Dilshodbek Ravshanov (9.0)
@ieltsaidbydilshodbek · 24,718
#34
Shoxruxbek Olimov
@shoxruxbekolimov · 54,818
#35
Abdurazzoq | Archive
@Abdurazzoq_IELTS · 24,596
#36
Bobirjon's Blog | IELTS 9 | SAT 1600
@BobirjonsThoughts · 15,769
#37
IELTS CDI Report
@cdireport · 47,205
#38
Yuldoshev's Blog
@YuldoshevG · 7,020
#39
Quiet Thoughts
@quotes_sk · 6,032
#40
Mustafa | Study More 🇬🇧
@Ieltswithmustaffa · 59,137
#41
Ibragim Mansurov
@ibragimmansurov_blog · 56,999
#42
Asalkhon Sharipova | Grants
@asalkhon_sharipova · 18,636
#43
Barno Mukimova Official
@barnomukimova_official · 32,787
#44
Ulugbek's Library
@ulugbeks_library · 2,559
#45
bohemian
@inbohemia · 4,304
#46
Tutor Bekhruz
@tutorbekhruz · 4,564
#47
G'anisher Otaboyev | Blog
@otaboyevblog · 37,116
#48
Sukhrob’s Blog
@SukhrobMurodov · 3,783
#49
sirojiddin_livee
@sirojiddin_livee · 1
#50
Multi-Level Record (C2 Level Teacher)
@MultiLevelRecord · 222,963
#51
Valera Notes
@valeranotes · 7,556
#52
Material Baza
@IELTS_PAPERS · 2,263
#53
IELTS IDP in Uzbekistan
@examsuz · 23,437
#54
WriteUP
@RiteUp · 3,675
#55
Road Podcast | BBC 6 minute English
@Road_Podcast · 93,992
#56
IELTSLand
@ielts9land · 1,198
#57
Shodiyor | Grants Hunter
@grants_hunter · 15,108
#58
PODCAST and SHADOWING🖇
@shadowing_podcasts · 36,384
#59
XAUUSD GOLD MASTER
@abdulbosids_life · 55
#60
Freshman Academy
@freshmanblog · 12,433
#61
Ibrat Farzandlari
@ibratfarzandlari · 112,889
#62
Irina Lutsenko: IELTS, writing, cohesion
@irinalutsenko · 5,033
#63
ENGLISH PODCASTS 🎧
@Podcast_English_listening · 231,897
#64
Saydullo Olimov
@olimovposts · 432
#65
ustozation
@ustozation · 35,451
#66
Abror Rahmatullayev
@AbrorRahmatullayev · 158,169
#67
Mardon Sabaraliyev
@mardonsabaraliyev · 2,271
#68
Xushnudbek.uz
@xushnudbek · 754,128
#69
Anvarov’s blog
@anvarovsblog · 40,024
#70
Grantlar.uz
@grantlar · 79,399
#71
Her Bios
@yanafsu · 13,132
#72
Abdurazzoq | Notes
@Abdurazzoq_notes · 16,104
#73
Alisher Sadullaev
@alisher_sadullaev · 221,363
#74
GrantGO
@grantgouz · 48,714
#75
Nazir Rashidov
@NazirRashidov · 604
#76
Gulruxbonu Shokirova | Young Diplomat
@Gulrukhbonu_official · 11,499
#77
What If
@what_ifshow · 18,725
#78

Read from Telegram’s recommendation API, most recently 1 October 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.

Ielts topic-based vocabulary
@topic_based_vocabulary · 24,041
Telegram ranks this channel #5 of 77 here — alongside 76 others — read 16 September 2026
IELTS ZONE 9.0
@ieltszone_uz · 42,467
Telegram ranks this channel #6 of 84 here — alongside 83 others — read 28 August 2026
Jakhongir IELTS 9.0 💊 (Almazz)
@jakhongir_ielts_9 · 40,963
Telegram ranks this channel #7 of 75 here — alongside 74 others — read 29 August 2026
Writing Essays Band 9 | IELTS CEFR
@Writing_Essays_Band9 · 59,335
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 21 August 2026
ARTICLES 365 | Muratovich
@articles365 · 85,289
Telegram ranks this channel #8 of 80 here — alongside 79 others — read 18 August 2026
Articles in English
@articles_in_English · 62,224
Telegram ranks this channel #9 of 77 here — alongside 76 others — read 22 August 2026
British Council Uzbekistan
@British_Council_Uz · 19,652
Telegram ranks this channel #10 of 81 here — alongside 80 others — read 1 October 2026
Road Podcast | BBC 6 minute English
@Road_Podcast · 93,992
Telegram ranks this channel #10 of 80 here — alongside 79 others — read 17 August 2026
ENGLISH PODCASTS 🎧
@Podcast_English_listening · 231,897
Telegram ranks this channel #10 of 79 here — alongside 78 others — read 11 August 2026
BM | IELTS 9.0
@BekzodMirahmedov · 42,568
Telegram ranks this channel #11 of 84 here — alongside 83 others — read 28 August 2026
English Podcasts
@EnglishPodcastsOfficial · 27,157
Telegram ranks this channel #12 of 85 here — alongside 84 others — read 10 September 2026
BBC Radio Podcast
@bbc_radio_podcast · 36,346
Telegram ranks this channel #13 of 83 here — alongside 82 others — read 2 September 2026
IELTS Speaking Assistants
@ielts_assistants · 20,867
Telegram ranks this channel #14 of 78 here — alongside 77 others — read 25 September 2026
MULTILEVEL MOCK TEST
@MULTILEVEL_MOCKN1 · 23,215
Telegram ranks this channel #14 of 72 here — alongside 71 others — read 17 September 2026
IELTS 9.0 √Suhrobjon Abdivaliev
@writing_t · 33,995
Telegram ranks this channel #14 of 79 here — alongside 78 others — read 2 September 2026
RM 1.0
@ozodbek_sk · 10
Telegram ranks this channel #14 of 85 here — alongside 84 others — read 27 August 2026
IELTS IDP in Uzbekistan
@examsuz · 23,437
Telegram ranks this channel #15 of 79 here — alongside 78 others — read 16 September 2026
Alisher’s IELTS | 9.0
@alisher_abduvohobov · 132,401
Telegram ranks this channel #15 of 79 here — alongside 78 others — read 28 August 2026
Jo’rabek Sanokulov | IELTS
@ieltswithsanokulov · 53,262
Telegram ranks this channel #15 of 86 here — alongside 85 others — read 23 August 2026
TED Talks
@TED_IWS · 20,477
Telegram ranks this channel #16 of 73 here — alongside 72 others — read 25 September 2026
LINK
@aslanovs_library · 23
Telegram ranks this channel #16 of 82 here — alongside 81 others — read 14 September 2026
Speaking for IELTS | Lifestyle
@Khusan57 · 96,992
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 15 August 2026
Cambridge IELTS practice |Official™
@cambridgematerials · 157,729
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 12 August 2026
BBC 6 Minute English
@bbc_6_minutes · 53,252
Telegram ranks this channel #17 of 75 here — alongside 74 others — read 25 August 2026

This channel appears in 81 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Alex (IELTS 9)” (@AlexNativeIELTS), 19,152 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/AlexNativeIELTS.

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.