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Channel

English learners

@LearnbyEnglishlearners

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

32,095subscribers

+1,567 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001348731547
TypeChannel
Username@LearnbyEnglishlearners
DescriptionFor advertising contact @EHnnom55 برای درج تبلیغات 👆 Contact @EHnnom55 if u have any question
Created27 December 2017 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/LearnbyEnglishlearners

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 85% 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 5 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
@LearnbyEnglishlearners/11673 · this entry11 Oct 2026, 14:20 UTC@ilearn/636712 Oct 2026, 10:32 UTC0.9720 hours
@LearnbyEnglishlearners/11672 · this entry10 Oct 2026, 05:35 UTC@ilearn/636412 Oct 2026, 08:00 UTC0.932 days
@LearnbyEnglishlearners/11631 · this entry17 Sept 2026, 07:58 UTC@ilearn/622823 Sept 2026, 06:00 UTC0.936 days
@LearnbyEnglishlearners/11712 · this entry7 Nov 2026, 06:05 UTC@ilearn/66007 Nov 2026, 18:32 UTC0.8812 hours
@LearnbyEnglishlearners/11608 · this entry9 Sept 2026, 11:52 UTC@ilearn/622022 Sept 2026, 06:22 UTC0.8813 days
@Star_Sourcee/228729 Sept 2026, 19:31 UTC@LearnbyEnglishlearners/11661 · this entry29 Sept 2026, 19:31 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
@ilearn5 (5/5 hand-verifiable sample passed)0.922 daysthis entry (5–0)
@Star_Sourcee8 (8/8 hand-verifiable sample passed)1.003 minutesthis entry (6–2)
@pulsepack6 (6/6 hand-verifiable sample passed)0.992 minutesthis entry (4–2)
@english138810 (8/8 hand-verifiable sample passed)1.006 minuteseven
@jazb_dokhtar5 (5/5 hand-verifiable sample passed)0.992 minutes@jazb_dokhtar (4–1)

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. 5 of the 5 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 124 comparable posts for this entry, running 20 July 2026 to 8 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 12 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

30,52832,12331,325.532,0956 August 202610 November 2026
64 measurements spanning 97 days, net +1,567. 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 30,289–32,362 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 17:3532,095-28
9 Nov 2026, 04:1032,123+122
7 Nov 2026, 21:0732,001-21
6 Nov 2026, 15:5732,022-25
5 Nov 2026, 16:4432,047+119
4 Nov 2026, 14:1031,928-26
3 Nov 2026, 14:4931,954-29
2 Nov 2026, 13:2831,983+103
1 Nov 2026, 16:2831,880+94
31 Oct 2026, 19:4131,786-10
30 Oct 2026, 22:0031,796+6
29 Oct 2026, 21:1831,790+79
28 Oct 2026, 23:2031,711+28
27 Oct 2026, 20:5631,683-29
26 Oct 2026, 17:4631,712-24
25 Oct 2026, 17:3931,736-27
24 Oct 2026, 15:3031,763-12
23 Oct 2026, 18:0831,775-26
22 Oct 2026, 20:4531,801-24
21 Oct 2026, 20:0631,825first reading

Engagement

179 posts held, back to 19 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 172 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.51%
avg views ÷ 32,095 subscribers
Avg views / post
485
39 posts measured
Reaction rate
0.311%
reactions ÷ views · ER floor
Posts in window
39
of 179 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. It is computed over the 14 of 39 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 November 2026
Posts held179 (19 July 2026 – 8 November 2026)
Views total18,903
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 09:51 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
≈1,100
Videos
≈560
Links
≈139

Lifetime counters from Telegram’s own channel header, read 12 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
16m 12s
Average length
2m 42s

Measured directly from 6 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

304 reactions across 93 posts, in 7 distinct kinds. The most used accounts for 73.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤22373.4%
👍3611.8%
👏289.21%
💯92.96%
🆒41.32%
👎30.987%
😡10.329%

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 97 of the 179 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 305 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 179 most recent posts we hold, published 19 July 2026 to 8 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.

Recent posts

Telegram’s own ‘edited’ marker: 3 of 39 posts held from the last 30 days (7.69%) 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).

8 Nov 2026, 19:39 UTC59 viewsread 8 November 2026

🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹 با توجه به احتمال جنگ و ملی شدن اینترنت، یه سری کانال پولی رو براتون رایگان و پابلیک کردم؛ حسابی ازشون استفاده کنید! 😉 🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹

8 Nov 2026, 18:30 UTC110 viewsread 8 November 2026
Forwarded from @VipTab66

یادگیری پیشرفته انگلیسی با اخبار VOA 🔻JOIN با کانال آراء و مطالب حقوقی به روز باشید 🔻JOIN کتب صوتی نایاب / زندگینامۀ مشاهیر و... 🔻JOIN همه کتاب های صوتی و پی دی اف... 🔻JOIN آرشیو جامع کتابخانه مجازی 🔻JOIN بيشتر بدانيم بهتر زندگى كنيم 🔻JOIN پادکست رایگان انگلیسی 🔻JOIN دنیای کتاب صوتی و PDF 🔻JOIN صفر تا صد هک و امنیت 🔻JOIN انگلیسی با فیلم و داستان 🔻JOIN پکیج های ناب بورسی و موفقیت 🔻JOIN هوش مصنوعی | یادگیری …

8 Nov 2026, 07:00 UTC311 viewsread 9 November 2026
Forwarded from @tabadolat_kahkeshean

Posted without readable text

8 Nov 2026, 07:00 UTC495 viewsread 12 November 2026
File

✅Dictionary . ✅Tiny.. @LearnbyEnglishlearners #dictionary

7 Nov 2026, 20:29 UTC335 viewsread 9 November 2026
Forwarded from @tabadolat_kahkeshean

Posted without readable text

7 Nov 2026, 18:35 UTC344 views1 reactionsread 9 November 2026
Forwarded from @tabadolat_kahkeshean

🗂️برای ورود به مجموعه‌ای جامع از هنر و فلسفه، کلیک کنید 📼سینما | 💬 فلسفه 🎵موسیقی | 📖ادبیات 👩‍🎨نقاشی | 👤روانشناسی

❤1

7 Nov 2026, 06:05 UTC602 views1 reactionsread 12 November 2026

@LearnbyEnglishlearners ✅ A lump in/to sb’s throat 📘a feeling that you want to cry بغض داشتن 📕There was a lump in her throat as she gazed at the child. هنگامی که به بچه خیره شده بود، بغضی در گلوی او بود. @LearnbyEnglishlearners #idiom

❤1

5 Nov 2026, 16:05 UTC679 views4 reactionsread 12 November 2026
Voice message

✅ Nationalities that we have in the world, ✅ ملیت‌ها 🇦🇺 Australia .. استرالیا 🇦🇺 Australian ..استرالیایی 🇧🇷 Brazil ... برزیل 🇧🇷 Brazilian ...برزیلی 🇬🇧 Britain ... بریتانیا 🇬🇧 British ... بریتانیایی 🇨🇦 Canada .. کانادا 🇨🇦 Canadian....کانادایی 🇨🇱 Chile ...شیلی 🇨🇱 Chilean..شیلیایی 🇨🇳China.. چین 🇨🇳Chinese ... چینی 🇨🇴 Colombia ..کلمبیا 🇨🇴 Colombian ...کلمبیایی 🇪🇨 Ecuador ..اکوادر 🇪🇨 Ecuadorian ..اکوادری 🇬🇷 Gree…

👏4

5 Nov 2026, 08:28 UTC602 viewsread 12 November 2026
Video

✅The explanations that we use in every day conversations با ما به آسانی انگلیسی یاد بگیرید https://t.me/LearnbyEnglishlearners @LearnbyEnglishlearners

4 Nov 2026, 18:32 UTC160 views0 reactionsread 5 November 2026

🗂️برای ورود به مجموعه‌ای جامع از هنر و فلسفه، کلیک کنید 📼سینما | 💬 فلسفه 🎵موسیقی | 📖ادبیات 👩‍🎨نقاشی | 👤روانشناسی

Showing the 12 most recent of 179 posts we hold for @LearnbyEnglishlearners. 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

@LearnbyEnglishlearners edited 1 post 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
24 August 2026
Most recent edit
24 August 2026

Posts recorded as deleted after publishing

We recorded 5 posts on @LearnbyEnglishlearners 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
9 August 2026
Median time before seen missing
26 hours
Seen missing in the last 30 days
0

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 92 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.

Named by

Channels on the register whose posts name this channel's handle.

Let's learn English آموزش زبان انگلیسی
@english1388 · 66,322
13 posts
روانشناسی و پزشکی
@matlabravanshenasi · 25,418
11 posts
star source • استار سورس
@Star_Sourcee · 25,934
11 posts
Restart English
@English_Mr_Karimi · 59,724
10 posts
ܭߊ‌‌ܦ߭ܘ ܭࡅߺ߳ߊ‌‌ࡅߺ߲ࡉ
@sacafeketab · 28,621
10 posts
Science and Techz 🧿
@Science012 · 9,804
8 posts
پروژه ادمینی | دورکاری | VIP
@admiinprojeh · 14,925
7 posts
طراحی گرافیک /ساخت تصاویر با ai/ابزار ادیت / بارکاو دیزاینر
@barkav_designer · 20,971
7 posts
مهندسی کامپیوتر
@devloper98 · 12,622
7 posts
🔍دنبال کار🔎
@donbal_kar · 16,151
7 posts
دورنمای اقتصاد
@econviews · 18,837
7 posts
آموزش الایت موشن/اسماعیل مهرجوش
@esmailedit · 12,176
7 posts
پروژه استخدامی | کارفرما | VIP
@FREELANCERVIIP · 20,580
7 posts
• ɪɴꜰᴏ ᴅɪɢɪᴛᴀʟ •
@info_digital66 · 9,727
7 posts
خودآموزهای زبان انگلیسی
@khodAmooz_zban · 18,593
7 posts
LEGEND APK | هوش مصنوعی و ترفند
@LEGENDARYHACKIR · 15,505
7 posts
یادگیری انگلیسی در خانه
@OnlineConversationSchool · 17,343
7 posts
فیلم و داستان انگلیسی
@OnlineConversationSchool_Film · 21,554
7 posts
گرامر را آسان یاد بگیرید
@SimpleGrammar · 15,751
7 posts
گرگ وال استریت | پولسازی
@wolfofws · 18,591
7 posts
امیری هک|| AMIRI_HACK
@AMIRIHACK · 18,753
6 posts
English Literature
@Englishliteraturemagazine · 12,211
6 posts
ورزش در خانه
@gymmhomee · 14,169
6 posts
VIPPRO آموزش ادمینی/پروژه/کارفرما
@vipprochanel · 20,159
6 posts

Names

Channels on the register whose handles appear in this channel's posts.

آهنگ سه بعدی آهنگ هشت بعدی Music3D Music8D | ریمیکس رپی پاپ حصین یاس تتلو شایع سپی خلسه محسن چاوشی یگانه
@ahang_3D · 12,347
15 posts
هوش مصنوعی| علم داده
@AILearnCamp · 21,253
15 posts
طراحی گرافیک /ساخت تصاویر با ai/ابزار ادیت / بارکاو دیزاینر
@barkav_designer · 20,971
15 posts
Black learn 🎫
@Black_Learn_Academy · 11,568
15 posts
مهندسی کامپیوتر
@devloper98 · 12,622
15 posts
🔍دنبال کار🔎
@donbal_kar · 16,151
15 posts
دورنمای اقتصاد
@econviews · 18,837
15 posts
English Literature
@Englishliteraturemagazine · 12,211
15 posts
آموزش الایت موشن/اسماعیل مهرجوش
@esmailedit · 12,176
15 posts
کانال آزمون استخدامی دستگاه‌های اجرایی
@estekhdami_ap99 · 6,753
15 posts
پروژه استخدامی | کارفرما | VIP
@FREELANCERVIIP · 20,580
15 posts
ورزش در خانه
@gymmhomee · 14,169
15 posts
هوش مصنوعی | حسین صادقی
@hoseinsadeghi4013 · 13,628
15 posts
𝐈𝐌𝐎𝐕𝐈𝐄|آیمووی
@Imovie_txt · 14,379
15 posts
امیری هک|| AMIRI_HACK
@AMIRIHACK · 18,753
14 posts
دستورات ترموکس - ᴛᴇʀᴍᴜx
@Bia2Termux · 9,321
14 posts
ʜᴀᴄᴋ 4҉҈ ᴍᴀɴ
@Hack4Man · 7,947
14 posts
𓆩 IPMan | آی‌پـی‌مَـن
@IPManTeam · 10,234
14 posts
رسانه، فرهنگ - نشانه
@irCDS · 19,502
14 posts
آموزش جذب زنان | دایان
@jazb_dokhtar · 23,935
14 posts
خودآموزهای زبان انگلیسی
@khodAmooz_zban · 18,593
14 posts
LEGEND APK | هوش مصنوعی و ترفند
@LEGENDARYHACKIR · 15,505
14 posts
𝑬𝒏𝒈𝒍𝒊𝒔𝒉 𝑪𝒂𝒇𝒆 ☕
@English_cafe8 · 12,815
13 posts
• ɪɴꜰᴏ ᴅɪɢɪᴛᴀʟ •
@info_digital66 · 9,727
13 posts

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.

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.

Learn English Idioms Language
@Idiomsland · 170,237
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 12 August 2026
English With Masters
@EngMasters · 73,275
Telegram ranks this channel #17 of 90 here — alongside 89 others — read 19 August 2026
English Language
@English_Language_IELTS_TOEFL · 129,999
Telegram ranks this channel #18 of 93 here — alongside 92 others — read 13 August 2026
English Made Easy
@Englishmade_easy · 51,270
Telegram ranks this channel #19 of 86 here — alongside 85 others — read 24 August 2026
American English
@AmEnglish · 49,775
Telegram ranks this channel #22 of 85 here — alongside 84 others — read 25 August 2026
English Gate Learners
@EnglishGate · 72,899
Telegram ranks this channel #23 of 90 here — alongside 89 others — read 20 August 2026
English Podcasts
@EnglishHarmony · 55,206
Telegram ranks this channel #30 of 85 here — alongside 84 others — read 25 August 2026
English Slang Words Terms
@SlangWords · 83,119
Telegram ranks this channel #30 of 92 here — alongside 91 others — read 18 August 2026
English Vocabulary | Vocabularies
@Vocabulix · 132,875
Telegram ranks this channel #31 of 89 here — alongside 88 others — read 13 August 2026
IELTS With Masters
@IELTSwMasters · 108,194
Telegram ranks this channel #33 of 93 here — alongside 92 others — read 14 August 2026
Advanced English Language
@englishdaybyday · 58,202
Telegram ranks this channel #34 of 92 here — alongside 91 others — read 23 August 2026
English Phrasal Verbs
@PhrasalCards · 115,340
Telegram ranks this channel #37 of 94 here — alongside 93 others — read 14 August 2026
ᐯᝪᑕᗩᗷᑌしᗩᖇᎩ
@English_World2013 · 47,841
Telegram ranks this channel #40 of 84 here — alongside 83 others — read 26 August 2026
English Phrases & Expressions
@English_phrases_Expressions_verb · 50,609
Telegram ranks this channel #42 of 89 here — alongside 88 others — read 26 August 2026
English vocabulary Grammar IELTS TOEFL ™️
@English_IELTS_TOEFL_Vocabulary · 161,531
Telegram ranks this channel #46 of 72 here — alongside 71 others — read 12 August 2026
Improve Your English🌙
@Ingliztiliuzz · 91,471
Telegram ranks this channel #47 of 93 here — alongside 92 others — read 16 August 2026
Active English ᵖˡᵘˢ
@Activeenglishplus · 53,367
Telegram ranks this channel #48 of 73 here — alongside 72 others — read 23 August 2026
Learn English Grammar | Language
@Grammar6 · 129,009
Telegram ranks this channel #53 of 89 here — alongside 88 others — read 13 August 2026
Books Mania
@booksmania · 76,068
Telegram ranks this channel #62 of 72 here — alongside 71 others — read 19 August 2026
English Stories Moral Novels
@StoryPage · 135,196
Telegram ranks this channel #66 of 91 here — alongside 90 others — read 13 August 2026

This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 November 2026 — this entry's latest reading, not the date you are reading this.

“English learners” (@LearnbyEnglishlearners), 32,095 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/LearnbyEnglishlearners.

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.