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Channel

Английский язык 🇬🇧

@dailyeng

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

72,817subscribers

-639 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001048719830
TypeChannel
Username@dailyeng
DescriptionРеклама: @buffet_reklama
Created20 March 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/dailyeng

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 10 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 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
@dailyeng/7754 · this entry6 Aug 2026, 14:11 UTC@englisa/62326 Aug 2026, 14:11 UTC0.96under a minute
@dailyeng/7763 · this entry7 Aug 2026, 10:11 UTC@englisa/62387 Aug 2026, 10:11 UTC0.96under a minute
@dailyeng/7753 · this entry6 Aug 2026, 13:11 UTC@englisa/62316 Aug 2026, 13:11 UTC0.96under a minute
@dailyeng/7752 · this entry6 Aug 2026, 11:11 UTC@englisa/62306 Aug 2026, 11:11 UTC0.94under a minute
@dailyeng/7761 · this entry7 Aug 2026, 08:11 UTC@englisa/62377 Aug 2026, 08:11 UTC0.93under a minute
@dailyeng/7733 · this entry4 Aug 2026, 14:11 UTC@englisa/62224 Aug 2026, 14:11 UTC0.92under 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
@englisa6 (6/6 hand-verifiable sample passed)0.94under a minutethis entry (6–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 37 comparable posts for this entry, running 4 August 2026 to 7 August 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 @dailyeng — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 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

72,73773,45973,09872,8175 August 20269 November 2026
64 measurements spanning 96 days, net -639. 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 72,629–73,567 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, 23:0072,817+21
8 Nov 2026, 15:0472,796+22
7 Nov 2026, 09:1872,774+7
6 Nov 2026, 07:5572,767+14
5 Nov 2026, 06:1172,753+16
4 Nov 2026, 04:5672,737-11
3 Nov 2026, 07:5872,748-30
2 Nov 2026, 07:0072,778-31
1 Nov 2026, 06:2172,809-25
31 Oct 2026, 07:3672,834-28
30 Oct 2026, 09:1972,862-28
29 Oct 2026, 07:0172,890-52
28 Oct 2026, 06:2072,942-36
27 Oct 2026, 05:5072,978-21
26 Oct 2026, 07:3072,999-25
25 Oct 2026, 10:3173,024-38
24 Oct 2026, 09:4073,062-14
23 Oct 2026, 09:1173,076-11
22 Oct 2026, 07:4873,087-31
20 Oct 2026, 21:4873,118first reading

Engagement

1,166 posts held, back to 4 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 200 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.51%
avg views ÷ 72,817 subscribers
Avg views / post
1,100
370 posts measured
Reaction rate
0.863%
reactions ÷ views · ER floor
Posts in window
370
of 1,166 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 351 of 370 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 10 November 2026
Posts held1,166 (4 August 2026 – 10 November 2026)
Views total405,989
Reactions total3,330
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:41 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
≈2,350
Videos
≈120
Links
≈2,050

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
2m 32s
Average length
15s

Measured directly from 10 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

8,917 reactions across 931 posts, in 4 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,32637.3%
🔥2,94533.0%
👍2,41527.1%
👎2312.59%

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 944 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 8,917 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 18 August 2026 to 10 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
8
of 1,000 we hold a reading for · 0.8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dailyeng. 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 18 August 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
1.20%
12 of 1,000 posts carry an ad marker
Regulatory tokens
11
posts carrying an erid · 6 distinct tokens
Median views · ads
982
over 12 measured posts
Median views · rest
1,080
over 988 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Ranymkm4EP524 September 202622 October 2026
2Ranyn5zeTd215 October 202629 October 2026
2RanymYpWMZ13 September 20263 September 2026
2RanynuTZCP110 September 202610 September 2026
2SDnjdTi4h911 September 20261 September 2026
2W5zFGGyGXB18 September 20268 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 18 August 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 370 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).

10 Nov 2026, 19:11 UTC495 views10 reactionsread 11 November 2026

Ложные друзья переводчика: ▪️Aspirant — кандидат, а не аспирант ▪️List — список, а не лист ▪️Patron — покровитель или шеф, а не патрон для стрельбы ▪️Compositor — наборщик, а не композитор ▪️Conductor — проводник или дирижер, а не кондуктор в транспорте ▪️Lunatic — сумасшедший, а не лунатик ▪️Matrass — больничная утка, а не матрас ▪️Macaroon — миндальная печенька, а не макароны ▪️Personal — личный, а не персонал 🇬🇧…

👍5❤3🔥2

10 Nov 2026, 18:01 UTC682 views7 reactionsread 11 November 2026

Словосочетания с глаголом get ▫ get the blues — впадать в уныние ▫ get upsides with — становиться равным кому-либо ▫ get used to — привыкнуть к чему-то ▫ get the bullet — вылететь с работы ▫ get the last dance — выйти (в конечном счете) победителем ▫ get the point — понять, уловить ▫ get the works — подвергаться жестокому обращению, попасть в переплет ▫ get to close quarters — столкнуться лицом к лицу ▫ get the bum'…

🔥3❤2👍2

10 Nov 2026, 17:31 UTC748 viewsread 11 November 2026
Photo

Илон Маск теперь в Телеграм! Железный человек 21 века, колонизатор Марса, создатель Tesla, основатель PayPal, инженер гражданского огнемета, отправитель первого туриста на Луну. Канал посвящённый гению, миллиардеру, плейбою и филантропу: @ElonMusk

10 Nov 2026, 17:11 UTC762 views4 reactionsread 11 November 2026

Сравнения 🟰as sly as a fox — хитрый, как лисица 🟰as hungry as a wolf — голодный, как волк 🟰as proud as a peacock — гордый, как павлин 🟰as quiet as a mouse — тихий, как мышь 🟰as stubborn as a mule — упрямый, как осёл 🟰as fat as a pig — жирный, как свинья 🟰as free as a bird — свободный, как птица 🟰as brave as a lion — смелый, как лев 🟰as wise as an owl — мудрый, как сова 🟰as slow as a snail — медленный, как улитка 🟰as…

🔥4

10 Nov 2026, 16:11 UTC801 views6 reactionsread 11 November 2026

☝️Разница между LAST и LATEST - Кто последний в очереди? - Ты слышал о последних новинках? - Он съел последний кусок пирога. Во всех этих предложениях используется слово «последний», но в каждом оно несет разный смысл. 🔻Last - последний, крайний, прошлый Используется, когда идет речь о том, что что-то не предполагает возможности повторения, то есть за ним не следует ничего другого, что-то является последним в ря…

❤3🔥3

10 Nov 2026, 14:11 UTC880 views7 reactionsread 11 November 2026

Распространенные наречия ▪️anyway — как бы то ни было, во всяком случае ▪️basically — по существу, в основном ▪️carefully — тщательно, осторожно ▪️certainly — точно, определенно ▪️elsewhere — где-то в другом месте ▪️exactly — точно ▪️hopefully — с надеждой, будем надеяться ▪️immediately — немедленно, сразу ▪️occasionally — иногда, изредка, время от времени ▪️perhaps — может быть, возможно, наверно ▪️quickly — быстро…

🔥6❤1

10 Nov 2026, 13:11 UTC≈1,010 views10 reactionsread 11 November 2026

Действенный способ изучения новых слов Таким способом считается разделение слов по группам - можно разделять их по темам, а можно брать просто однокоренные. 🔻Например, возьмем слово black (черный): Blackcurrant — черная смородина Blackmail — шантажировать Black eye - синяк под глазом Blackboard — классная доска Blacksmith – кузнец 🔻Следующий пример со словом good (хороший): Goods — товары Goodness – доброта, доб…

👍7❤2🔥1

10 Nov 2026, 11:11 UTC≈1,050 views7 reactionsread 11 November 2026
Photo

Поздравления к Новому году Happy New Year to you! May every great new day Bring you sweet surprises - A happiness buffet. Желаю тебе счастливого Нового года! Пусть каждый великий новый день Принесет тебе милые сюрпризы - И много счастья. *** Happy New Year to you, And when the new year’s done, May the next year be even better, Full of pleasure, joy and fun. Желаю тебе счастливого Нового года! И когда новый год б…

🔥4👍3

10 Nov 2026, 10:11 UTC≈1,050 views7 reactionsread 11 November 2026

Изучаем, как правильно говорить о дробях: 1/2 — a half 1/4 — a quarter 1/4 — one forth 2/3 — two thirds 8/13 — eight thirteenth 1/10 — one tenth 7 1/2 — seven and a half 12 1/4 — twelve and a quarter 0.3 — zero point three 0.57 — nought point five seven 7.2 — seven point two 12.3467 — twelve point three four six seven 🇬🇧 Английский язык | Мы в МАКС

🔥7

10 Nov 2026, 08:11 UTC≈1,180 views11 reactionsread 11 November 2026
Photo

На заметку! 🇬🇧 Английский язык | Мы в МАКС

👍7🔥3❤1

10 Nov 2026, 07:11 UTC≈1,260 views19 reactionsread 11 November 2026
Photo

Фразовый глагол: Pop on — быстро надеть или накинуть одежду. 🇬🇧 Английский язык | Мы в МАКС

👍10❤6🔥3

10 Nov 2026, 05:11 UTC≈1,310 views10 reactionsread 11 November 2026
Photo

ВИЗУАЛЬНАЯ ЛЕКСИКА с транскрипцией и переводом. 🇬🇧 Английский язык | Мы в МАКС

👍8❤2

Showing the 12 most recent of 1,166 posts we hold for @dailyeng. 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 recorded as deleted after publishing

We recorded 6 posts on @dailyeng 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
26 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
33 hours
Seen missing in the last 30 days
2

Forward network

Republished by

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

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 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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.

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#15
Skyeng: Английский для жизни
@skyengweekly · 128,002
#16
Немецкий язык
@deutschonline · 122,501
#17
Английский с нуля
@anglyski_yazik_plus · 30,089
#18
Английский язык с ILS
@ilsschoolinfo · 8,290
#19
Английский язык
@englishtg1 · 51,104
#20
🇬🇧Go English🇬🇧
@GoEnglishRus · 78,921
#21
Английский язык
@Angliyskiy_yaziki · 34,181
#22
Английский на слух
@EnglishByEar · 41,230
#23
Nadine English 🇬🇧 | Английский с Надеждой 🙋‍♀️
@english_nadine · 10,130
#24
Story. Рассказы на английском
@one_story · 12,074
#25
Английский с нуля
@angliyskiy_english · 18,025
#26
Английский язык
@clowar · 33,724
#27
Study Blog
@study_blogs · 22,888
#28
ENGLISH MIND
@english_mindd · 43,517
#29
Английский по песням
@EngWithSongs · 25,074
#30
Advanced English Language
@englishdaybyday · 58,202
#31
Записки редакторки
@zapiski_redaktorki · 93,608
#32
Английский язык🇬🇧
@tg_engl1sh · 7,767
#33
𝐋𝐢𝐧𝐠𝐮𝐚𝐭𝐢𝐦𝐞𝐬
@linguatimes · 54,592
#34
On the way 🇬🇧 | Учим язык вместе
@OnTheWay_eng · 14,656
#35
Книги на Английском | Аудиокниги
@English_Books_TG · 45,383
#36
Английский с Курчановым
@kurchanov · 24,003
#37
Английский с нуля | Английский язык
@EnglishBestChannel · 159,822
#38
English for Life
@englesson · 15,191
#39
Бесплатное образование
@free_edu · 306,697
#40
Пикабу
@pikabu · 254,974
#41
Книги | Аудиокниги
@flibusta_anglysky · 366,343
#42
Корейский язык 🇰🇷
@koreanlanguage2023 · 60,086
#43
Типичный программист
@tproger · 78,009
#44
Библиотека программиста
@proglibrary · 77,612
#45
VeryEnglish ☕️ | Очень по-английски
@veryenglink · 55,266
#46
Словарный запас | Саморазвитие
@slovar_psikhologia · 82,968
#47
Русский язык | Грамотность
@ruGrammar · 120,322
#48
Книжное братство
@flibusta · 162,599
#49
TechSparks
@techsparks · 46,736
#50
Английский в фразах
@EngInPhrases · 20,398
#51
Не баг, а фича
@bugfeature · 552,118
#52
Библиотека. Рассказы. Книги
@biblio8 · 58,412 (as read 19 August 2026)
#53
IT Юмор
@ithumor · 60,047
#54
эстетика
@estetika_x · 54,801
#55
Журнал «Код»
@thecodemedia · 48,864
#56
Наука и факты
@FactTG · 204,234
#57
Китайский язык
@chinese_lingvistika_slovar · 57,039
#58
Fun Science
@funscience · 34,198
#59
Немецкий язык в словах
@stylishgerman · 49,777
#60
Arzamas
@ArzamasLive · 59,813
#61
Рациональные числа
@rationalnumbers · 25,574
#62
English_Unlock 🔓 | Английский Сленг
@English_Unlock_Slang · 28,029
#63
Психология саморазвития
@SilaSlov · 117,501
#64
Английский для программиста | EnglishScript
@EnglishScript · 44,381
#65
Книжный Лис 🦊📚
@booksfox · 47,848
#66
Лайфхакер
@lifehackerru · 67,460
#67
Испанский язык!
@espanol_spanish_castellano · 43,668
#68
О Бизнесе
@business_ru · 50,480
#69
English.markelova АНГЛИЙСКИЙ
@lingvomark · 364
#70
🇬🇧 Английский для ленивых 🇬🇧
@laz_english · 8,296
#71
ХЗВ
@hzvse · 34,385
#72
Лекториум
@lektorium20 · 114,343
#73
Сказ маркетолога 🐾
@moj_marketing · 2,438
#74
Mash
@mash · 3,141,199
#75
Медуза — LIVE
@meduzalive · 1,116,844
#76
Дудь
@yurydud · 849,561
#77
addmeto
@addmeto · 72,001
#78
Naked Science
@nsmag · 245,244
#79
SETTERS Media
@setters · 82,535
#80
Excel Hacks | Бухгалтерия и Аналитика
@hacks_excel · 283,052
#81
Психология
@PsyEducation · 58,840
#82
Excel Everyday
@excel_everyday · 52,038
#83
SAND - путешествия с АШ
@sand_travel · 465
#84
Мастриды
@mustreads · 44,968
#85
Breaking Trends
@breakingtrends · 32,799
#86
Travelhacks — путешествия, лайфхаки
@travelhacks · 38,374
#87

Read from Telegram’s recommendation API, most recently 19 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.

Английский язык
@clowar · 33,724
Telegram ranks this channel #2 of 67 here — alongside 66 others — read 3 September 2026
Hot Idioms | Английские идиомы
@hot_idioms · 53,732
Telegram ranks this channel #3 of 91 here — alongside 90 others — read 23 August 2026
английский для дебилов
@debilenglish · 60,768
Telegram ranks this channel #3 of 93 here — alongside 92 others — read 22 August 2026
Duolingo Community
@english_duolingo · 49,211
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 25 August 2026
Английский в картинках
@anglysky_yazyki · 57,104
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 22 August 2026
5 слов на английском
@anglyskyi_yazyk · 82,717
Telegram ranks this channel #5 of 76 here — alongside 75 others — read 18 August 2026
🇬🇧 Learn English 🇬🇧
@ieltstoeflcefrr · 65,181
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 21 August 2026
Английский с Курчановым
@kurchanov · 24,003
Telegram ranks this channel #14 of 77 here — alongside 76 others — read 16 September 2026
Английский с нуля | Английский язык
@EnglishBestChannel · 159,822
Telegram ranks this channel #14 of 81 here — alongside 80 others — read 12 August 2026
Английский с нуля
@anglyski_yazik_plus · 30,089
Telegram ranks this channel #15 of 79 here — alongside 78 others — read 7 September 2026
Английский язык
@Angliyskiy_yaziki · 34,181
Telegram ranks this channel #16 of 84 here — alongside 83 others — read 3 September 2026
Английский в фразах
@EngInPhrases · 20,398
Telegram ranks this channel #26 of 79 here — alongside 78 others — read 26 September 2026
Advanced English Language
@englishdaybyday · 58,202
Telegram ranks this channel #32 of 92 here — alongside 91 others — read 23 August 2026
Азбука Здоровья
@zdorovazbuka · 37,909
Telegram ranks this channel #34 of 76 here — alongside 75 others — read 31 August 2026
Эпицентр знаний
@deepinterest · 45,448
Telegram ranks this channel #34 of 68 here — alongside 67 others — read 26 August 2026
Английский язык
@englishtg1 · 51,104
Telegram ranks this channel #34 of 79 here — alongside 78 others — read 24 August 2026
VeryEnglish ☕️ | Очень по-английски
@veryenglink · 55,266
Telegram ranks this channel #45 of 67 here — alongside 66 others — read 23 August 2026
English Academy🎓 | Академия Английского языка
@english_academys · 28,467
Telegram ranks this channel #54 of 72 here — alongside 71 others — read 8 September 2026
БИЗНЕС ИДЕИ
@idei_biznes · 26,681
Telegram ranks this channel #56 of 78 here — alongside 77 others — read 11 September 2026
Словарный запас | Саморазвитие
@slovar_psikhologia · 82,968
Telegram ranks this channel #57 of 91 here — alongside 90 others — read 18 August 2026
Книжное братство
@flibusta · 162,599
Telegram ranks this channel #58 of 94 here — alongside 93 others — read 12 August 2026
Психология саморазвития
@SilaSlov · 117,501
Telegram ranks this channel #69 of 91 here — alongside 90 others — read 14 August 2026
Психология
@PsyEducation · 58,840
Telegram ranks this channel #87 of 95 here — alongside 94 others — read 22 August 2026

This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Hacker News

This handle was named once in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.

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.

“Английский язык 🇬🇧” (@dailyeng), 72,817 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/dailyeng.

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.