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Channel

Английский язык 🇬🇧

@dailyeng

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Referenced elsewhere · Cite this entry

73,249subscribers

-207 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 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 11 September 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 why it has no browse page of its own yet.

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 word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
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
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@englisa6 (6/6 hand-verifiable sample passed)0.94under a minutethis entry (60)

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).

Across the whole group of 2, the earliest publisher we hold 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

73,24973,45973,3545 August 2026 — 73,456 subscribers6 August 2026 — 73,456 subscribers6 August 2026 — 73,455 subscribers7 August 2026 — 73,444 subscribers8 August 2026 — 73,423 subscribers9 August 2026 — 73,409 subscribers10 August 2026 — 73,393 subscribers11 August 2026 — 73,388 subscribers12 August 2026 — 73,391 subscribers14 August 2026 — 73,373 subscribers15 August 2026 — 73,348 subscribers16 August 2026 — 73,328 subscribers17 August 2026 — 73,319 subscribers18 August 2026 — 73,315 subscribers19 August 2026 — 73,326 subscribers20 August 2026 — 73,318 subscribers22 August 2026 — 73,306 subscribers23 August 2026 — 73,459 subscribers25 August 2026 — 73,434 subscribers26 August 2026 — 73,405 subscribers27 August 2026 — 73,398 subscribers28 August 2026 — 73,393 subscribers29 August 2026 — 73,388 subscribers30 August 2026 — 73,371 subscribers31 August 2026 — 73,359 subscribers1 September 2026 — 73,345 subscribers1 September 2026 — 73,327 subscribers3 September 2026 — 73,321 subscribers5 September 2026 — 73,311 subscribers8 September 2026 — 73,264 subscribers11 September 2026 — 73,249 subscribers5 August 202611 September 2026
31 measurements spanning 36 days, net -207. 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 73,218–73,491 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
11 Sept 2026, 05:1873,249-15
8 Sept 2026, 11:5673,264-47
5 Sept 2026, 03:4273,311-10
3 Sept 2026, 06:4873,321-6
1 Sept 2026, 22:5473,327-18
1 Sept 2026, 01:0973,345-14
31 Aug 2026, 02:1673,359-12
30 Aug 2026, 01:3673,371-17
29 Aug 2026, 04:1673,388-5
28 Aug 2026, 03:1273,393-5
27 Aug 2026, 00:2473,398-7
26 Aug 2026, 01:1873,405-29
25 Aug 2026, 04:2373,434-25
23 Aug 2026, 22:0573,459+153
22 Aug 2026, 03:5773,306-12
20 Aug 2026, 23:3673,318-8
19 Aug 2026, 19:5873,326+11
18 Aug 2026, 20:4873,315-4
17 Aug 2026, 22:1273,319-9
16 Aug 2026, 22:0773,328first reading

Engagement

410 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.49%
avg views ÷ 73,249 subscribers
Avg views / post
1,090
315 posts measured
Reaction rate
0.889%
reactions ÷ views · ER floor
Posts in window
315
of 410 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 300 of 315 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 11 September 2026
Posts held410 (4 August 202611 September 2026)
Views total342,822
Reactions total2,923
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Sept 2026, 07:52 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
2,070
Videos
113
Links
1,410

Lifetime counters from Telegram’s own channel header, read 11 September 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
18s
Average length
18s

Measured directly from 1 video 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

3,778 reactions across 371 posts, in 4 distinct kinds. The most used accounts for 41.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,58041.8%
👍1,26133.4%
🔥84322.3%
👎942.49%

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 389 of the 410 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 3,908 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 410 most recent posts we hold, published 4 August 2026 to 11 September 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
3
across the posts below
Posts paid on
1
of 410 we hold a reading for · 0.2%
Most on one post
3
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 410 most recent posts we hold for this entry, published 4 August 2026 to 11 September 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
0.976%
4 of 410 posts carry an ad marker
Regulatory tokens
4
posts carrying an erid · 4 distinct tokens
Median views · ads
911
over 4 measured posts
Median views · rest
1,070
over 406 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
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 410 most recent posts we hold, published 4 August 2026 to 11 September 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

11 Sept 2026, 07:11 UTC243 views3 reactionsread 11 September 2026
Photo

Части жилища ▪️attic — мансарда ▪️door — дверь ▪️roof — крыша ▪️chimney — труба ▪️front door — парадная дверь ▪️back door — задняя дверь ▪️entrance — вход ▪️doorbell — звонок ▪️window — окно ▪️french window — французское окно (доходящее до пола) ▪️ceiling — потолок ▪️wall — стена ▪️floor — пол ▪️basement — подвал ▪️a wine cellar — винный погреб ▪️lawn — газон ▪️flowerbed — клумба ▪️fence — забор ▪️gate — ворота ▪️gr

🔥3

11 Sept 2026, 06:11 UTC462 views2 reactionsread 11 September 2026
Photo

2017: вы могли покупать спиннеры по 20₽ и продавать их по 200₽ 2020: вы могли покупать симпл-димплы по 30₽ и продавать их по 500₽ 2025: вы могли покупать Лабубу по 1500₽ и перепродавать их за 30000₽ И таких возможностей сегодня – СОТНИ Если не хотите упускать тренды и давно мечтали работать на себя, советуем подписаться на Бизнес и Аналитика Вчера автор опубликовал подборки тех трендов, которые взлетят до конца

2

11 Sept 2026, 05:11 UTC547 views6 reactionsread 11 September 2026

Пословицы ✔️A person is known by the company he keeps. — Скажи, кто твои друзья, и я скажу, кто ты. ✔️A bad beginning makes a bad ending. — Что посеешь, то и пожнешь. ✔️Better late than never. — Лучше поздно, чем никогда. ✔️Actions speak louder than words. — Дела говорят сами за себя. ✔️All good things come to he who waits. — Кто ищет, тот всегда найдет. ✔️Appearances are deceptive. — Внешность обманчива. ✔️Al

🔥6

10 Sept 2026, 19:11 UTC910 views15 reactionsread 11 September 2026

Порция сленговых фраз и словечек ▪️Fuck around — Слоняться без дела ▪️Fuck off! — Отстань! ▪️Fuck up — Обломаться ▪️Fucked — Задолбанный, измотанный ▪️Damn! — Проклятье! ▪️Freak — Выскочка, фрик ▪️Asshole — Засранец ▪️Nerd — Ботан ▪️Loser, Sucker — Неудачник, лузер ▪️Get lost! — Отвали! ▪️Screw it! — Забудь! Да иди ты! ▪️What the fuck do you think you're doing? — Что ты тут творишь? ▪️I'm gonna kick your ass! — Я те

👍94🔥2

10 Sept 2026, 18:36 UTC825 views6 reactionsread 11 September 2026

Тренируем звуки [f] скороговорками ▪️Frogfeet, flippers, swimfins. Лягушачьи лапки, ласты, плавники. ▪️Four furious friends fought for the phone. Четыре разъяренных друга боролись за телефон. ▪️Fresh French fried fly fritters. Свежие французские жареные оладьи. ▪️Of all the felt I ever felt I never felt felt that felt like that felt felt. Из всего, что я когда-либо чувствовал, я никогда не чувствовал, что чувство

4🔥2

10 Sept 2026, 18:11 UTC727 viewsread 11 September 2026
Advertisementerid 2RanynuTZCPPhoto

⚡️⚡️⚡️ До 1 000 000₽ на кредитной карте Т-Банка Если предстоят крупные покупки или нужно перекрыть другие кредиты, открываем страницу ✅ и оформляем карту — решение по заявке приходит мгновенно. 🔵По карте действует: • до 55 дней без % на покупки • до 120 дней без % на погашение других кредитов • рассрочка до 12 месяцев Оформляете до 20:00 — карту бесплатно привезут уже сегодня 👇 https://t-cpa.ru/16YWpQ?erid=2Ranynu

10 Sept 2026, 17:11 UTC783 views5 reactionsread 11 September 2026

Местоимения (продолжение) 🔻Неопределенные местоимения (Indefinite Pronouns): any (какой-нибудь) anybody (кто-нибудь) anything (что-нибудь) anyone (любой) some (некоторые) somebody (кто-то) something (что-то) someone (кто-то) no (нет, нисколько) nobody (никто) no one (никто) nothing (ничто, ничего) few (мало и недостаточно) a few (мало, но достаточно) little (мало и недостаточно) a little (мало, но достаточно) much

🔥4👍1

10 Sept 2026, 16:11 UTC786 views7 reactionsread 11 September 2026
Photo

Хозяйственные товары ▪️soap — мыло ▪️washing powder — стиральный порошок ▪️battery — батарейка ▪️candle — свеча ▪️cotton — вата ▪️light bulb — лампочка ▪️tissues — салфетки ▪️toilet paper / toilet roll — туалетная бумага ▪️toothpaste — зубная паста ▪️tube of toothpaste — тюбик зубной пасты ▪️static cling remover — антистатик ▪️clothesline — бельевая веревка ▪️clothespin — прищепка ▪️dryer — сушилка ▪️cleanser — моюще

👍52

10 Sept 2026, 14:11 UTC813 views10 reactionsread 11 September 2026
Photo

Растения и деревья ▪️ivy — ива ▪️moss — мох ▪️mushroom — гриб ▪️nettle — крапива ▪️shrub — куст, кустарник ▪️thistle — чертополох ▪️toadstool — поганка ▪️bracken — папоротник ▪️brambles — ежевика ▪️bush — куст, кустарник ▪️cactus — кактус, кактусы ▪️corn — зерно, пшеница ▪️fern — папоротник ▪️flower — цветок ▪️fungus — плесень, древесная губка ▪️grass / herb — трава ▪️heather — вереск ▪️tree — дерево ▪️weed — сорняк

👍72🔥1

10 Sept 2026, 13:11 UTC853 views11 reactionsread 11 September 2026
Photo

Лекарственная лексика ▪️powder — порошок ▪️infusion — инфузия, настой ▪️ampule — ампула ▪️decoction — отвар ▪️suppository — свеча ▪️ointment — мазь ▪️drops — капли ▪️solution — раствор ▪️mixture — смесь, микстура ▪️pill — пилюля ▪️tablet — таблетка ▪️prescription — рецепт *** ▪️to take a teaspoonful on an empty stomach — принимать по чайной ложке натощак ▪️to give a prescription — дать рецепт ▪️to prescribe medicin

👍63🔥2

10 Sept 2026, 11:11 UTC885 views12 reactionsread 11 September 2026
Photo

Столовые приборы и посуда ▪️Cutlery — столовые приборы ▪️Oven glove — прихватка ▪️Napkin — салфетка ▪️Tablecloth — скатерть ▪️Chopsticks — палочки для суши ▪️Corkscrew — штопор ▪️Cake slice — прихватка для торта ▪️Pressure cooker — скороварка ▪️Spice container — баночка для специй ▪️Chopping board — разделочная доска ▪️Grater — терка ▪️Butterfly knife — нож-бабочка ▪️Kitchen shears — кухонные ножницы ▪️Pie plate — бл

👍82🔥2

10 Sept 2026, 10:11 UTC886 views20 reactionsread 11 September 2026
Photo

Названия цветов ▪️lupine — люпин ▪️rose — роза ▪️snapdragon — львиный зев ▪️snowdrop — подснежник ▪️sunflower — подсолнух ▪️tulip — тюльпан ▪️violet — фиалка ▪️wisteria — глициния ▪️marigold — бархатцы ▪️mimosa — мимоза ▪️orchid — орхидея ▪️pansy — анютины глазки ▪️azalea — азалия ▪️anemone — анемон ▪️aster — астра ▪️begonia — бегония ▪️bindweed — вьюнок ▪️bluebell — колокольчик ▪️buttercup — лютик ▪️camellia — камел

13👍4🔥3

Showing the 12 most recent of 410 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.

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.

Names

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

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.

Английский с нуля
@english2020easy · 240,782
#1
Duolingo Community
@english_duolingo · 50,483
#2
5 слов на английском
@anglyskyi_yazyk · 83,650
#3
Fucking English | Английский 18+
@fuckingenglish · 313,190
#4
🇬🇧 Учим Слова 🇬🇧
@TopEngWords · 2,612
#5
Английский в картинках
@anglysky_yazyki · 58,159
#6
английский для дебилов
@debilenglish · 61,177
#7
🇬🇧 Learn English 🇬🇧
@ieltstoeflcefrr · 65,372
#8
Hot Idioms | Английские идиомы
@hot_idioms · 54,498
#9
Как это переводится, Чувак?
@Factura_Shop · 30,618
#10
Викторины на Английском
@spaceofeng · 124,829
#11
State English
@state_english · 242,506
#12
Учи Английский Просто и Легко!
@eng_less · 5,642
#13
АНГЛИЙСКИЙ ПО СЕРИАЛАМ
@seriesenglishhh · 97,919
#14
Reddit
@Reddit · 162,698
#15
Skyeng: Английский для жизни
@skyengweekly · 128,504
#16
Немецкий язык
@deutschonline · 122,711
#17
Английский с нуля
@anglyski_yazik_plus · 30,409
#18
Английский язык с ILS
@ilsschoolinfo · 8,448
#19
Английский язык
@englishtg1 · 52,082
#20
🇬🇧Go English🇬🇧
@GoEnglishRus · 84,939
#21
Английский язык
@Angliyskiy_yaziki · 34,313
#22
Английский на слух
@EnglishByEar · 41,974
#23
Nadine English 🇬🇧 | Английский с Надеждой 🙋‍♀️
@english_nadine · 10,415
#24
Story. Рассказы на английском
@one_story · 12,185
#25
Английский с нуля
@angliyskiy_english · 18,091
#26
Английский язык
@clowar · 34,538
#27
Study Blog
@study_blogs · 24,261
#28
ENGLISH MIND
@english_mindd · 44,785
#29
Английский по песням
@EngWithSongs · 25,663
#30
English Language
@englishdaybyday · 54,802
#31
Записки редакторки
@zapiski_redaktorki · 94,937
#32
Английский язык🇬🇧
@tg_engl1sh · 7,757
#33
𝐋𝐢𝐧𝐠𝐮𝐚𝐭𝐢𝐦𝐞𝐬
@linguatimes · 54,691
#34
On the way 🇬🇧 | Учим язык вместе
@OnTheWay_eng · 15,007
#35
Книги на Английском | Аудиокниги
@English_Books_TG · 45,984
#36
Английский с Курчановым
@kurchanov · 24,643
#37
Английский с нуля | Английский язык
@EnglishBestChannel · 162,359
#38
English for Life
@englesson · 15,440
#39
Бесплатное образование
@free_edu · 309,685
#40
Пикабу
@pikabu · 256,268
#41
Книги | Аудиокниги
@flibusta_anglysky · 370,196
#42
Корейский язык 🇰🇷
@koreanlanguage2023 · 60,776
#43
Типичный программист
@tproger · 78,595
#44
Библиотека программиста
@proglibrary · 78,401
#45
VeryEnglish ☕️ | Очень по-английски
@veryenglink · 57,368
#46
Словарный запас | Саморазвитие
@slovar_psikhologia · 84,131
#47
Русский язык | Грамотность
@ruGrammar · 121,432
#48
Книжное братство
@flibusta · 163,435
#49
TechSparks
@techsparks · 46,487
#50
Английский в фразах
@EngInPhrases · 20,701
#51
Не баг, а фича
@bugfeature · 579,648
#52
Библиотека. Рассказы. Книги
@biblio8 · 58,412 (as read 19 August 2026)
#53
IT Юмор
@ithumor · 60,833
#54
эстетика
@estetika_x · 56,734
#55
Журнал «Код»
@thecodemedia · 49,278
#56
Наука и факты
@FactTG · 205,335
#57
Китайский язык
@chinese_lingvistika_slovar · 57,160
#58
Fun Science
@funscience · 34,381
#59
Немецкий язык в словах
@stylishgerman · 49,970
#60
Arzamas
@ArzamasLive · 59,312
#61
Рациональные числа
@rationalnumbers · 25,686
#62
English_Unlock 🔓 | Английский Сленг
@English_Unlock_Slang · 28,493
#63
Психология саморазвития
@SilaSlov · 119,009
#64
Английский для программиста | EnglishScript
@EnglishScript · 45,331
#65
Книжный Лис 🦊📚
@booksfox · 47,965
#66
Лайфхакер
@lifehackerru · 67,177
#67
Испанский язык!
@espanol_spanish_castellano · 43,372
#68
О Бизнесе
@business_ru · 51,191
#69
English.markelova АНГЛИЙСКИЙ
@lingvomark · 365
#70
🇬🇧 Английский для ленивых 🇬🇧
@laz_english · 8,401
#71
ХЗВ
@hzvse · 34,831
#72
Лекториум
@lektorium20 · 115,420
#73
Сказ маркетолога 🐾
@moj_marketing · 2,472
#74
Mash
@mash · 3,101,358
#75
Медуза — LIVE
@meduzalive · 1,112,623
#76
Дудь
@yurydud · 864,469
#77
addmeto
@addmeto · 71,874
#78
Naked Science
@nsmag · 192,475
#79
SETTERS Media
@setters · 84,795
#80
Excel Hacks | Бухгалтерия и Аналитика
@hacks_excel · 284,182
#81
Психология
@PsyEducation · 59,430
#82
Excel Everyday
@excel_everyday · 52,398
#83
SAND - путешествия с АШ
@sand_travel · 460
#84
Мастриды
@mustreads · 45,220
#85
Breaking Trends
@breakingtrends · 33,056
#86
Travelhacks — путешествия, лайфхаки
@travelhacks · 38,594
#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 · 34,538
Telegram ranks this channel #2 of 67 here — alongside 66 others — read 3 September 2026
Hot Idioms | Английские идиомы
@hot_idioms · 54,498
Telegram ranks this channel #3 of 91 here — alongside 90 others — read 23 August 2026
английский для дебилов
@debilenglish · 61,177
Telegram ranks this channel #3 of 93 here — alongside 92 others — read 22 August 2026
Duolingo Community
@english_duolingo · 50,483
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 25 August 2026
Английский в картинках
@anglysky_yazyki · 58,159
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 22 August 2026
5 слов на английском
@anglyskyi_yazyk · 83,650
Telegram ranks this channel #5 of 76 here — alongside 75 others — read 18 August 2026
🇬🇧 Learn English 🇬🇧
@ieltstoeflcefrr · 65,372
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 21 August 2026
Английский с нуля | Английский язык
@EnglishBestChannel · 162,359
Telegram ranks this channel #14 of 81 here — alongside 80 others — read 12 August 2026
Английский с нуля
@anglyski_yazik_plus · 30,409
Telegram ranks this channel #15 of 79 here — alongside 78 others — read 7 September 2026
Английский язык
@Angliyskiy_yaziki · 34,313
Telegram ranks this channel #16 of 84 here — alongside 83 others — read 3 September 2026
English Language
@englishdaybyday · 54,802
Telegram ranks this channel #32 of 92 here — alongside 91 others — read 23 August 2026
Азбука Здоровья
@zdorovazbuka · 37,789
Telegram ranks this channel #34 of 76 here — alongside 75 others — read 31 August 2026
Эпицентр знаний
@deepinterest · 46,996
Telegram ranks this channel #34 of 68 here — alongside 67 others — read 26 August 2026
Английский язык
@englishtg1 · 52,082
Telegram ranks this channel #34 of 79 here — alongside 78 others — read 24 August 2026
VeryEnglish ☕️ | Очень по-английски
@veryenglink · 57,368
Telegram ranks this channel #45 of 67 here — alongside 66 others — read 23 August 2026
English Academy🎓 | Академия Английского языка
@english_academys · 29,633
Telegram ranks this channel #54 of 72 here — alongside 71 others — read 8 September 2026
БИЗНЕС ИДЕИ
@idei_biznes · 27,045
Telegram ranks this channel #56 of 78 here — alongside 77 others — read 11 September 2026
Словарный запас | Саморазвитие
@slovar_psikhologia · 84,131
Telegram ranks this channel #57 of 91 here — alongside 90 others — read 18 August 2026
Книжное братство
@flibusta · 163,435
Telegram ranks this channel #58 of 94 here — alongside 93 others — read 12 August 2026
Психология саморазвития
@SilaSlov · 119,009
Telegram ranks this channel #69 of 91 here — alongside 90 others — read 14 August 2026
Психология
@PsyEducation · 59,430
Telegram ranks this channel #87 of 95 here — alongside 94 others — read 22 August 2026

This channel appears in 21 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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“Английский язык 🇬🇧” (@dailyeng), 73,249 subscribers as measured 11 September 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.