Telegram RegisterThe public register of Telegram

Channel

Английский легко с0

@engeasyapp

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

75subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002649851493
TypeChannel
Username@engeasyapp
Descriptionпо простейшей, эффективной методике для самых новичков ни-бум-бум
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/engeasyapp

Growth

757 August 2026 — 75 subscribers9 August 2026 — 75 subscribers7 August 20269 August 2026
2 measurements spanning 2 days. 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 74–76 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 21:3075no change
7 Aug 2026, 21:0275first reading

Engagement

15 posts held, back to 26 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
128.7%
avg views ÷ 75 subscribers
Avg views / post
96.5
2 posts measured
Reaction rate
5.18%
reactions ÷ views · ER floor
Posts in window
2
of 15 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 July 2026
Posts held15 (26 January 202625 July 2026)
Views total193
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 21:30 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
10
Videos
14
Links
22

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
11m 29s
Average length
1m 38s

Measured directly from 7 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

71 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 39.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2839.4%
🔥2839.4%
1115.5%
😁22.82%
11.41%
👏11.41%

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 12 of the 15 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 71reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 26 January 2026 to 25 July 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

25 Jul 2026, 11:34 UTC120 views3 reactionsread 9 August 2026
Video

Добавил мультик Как приручить дракона https://engeasy.ru/ru/cartoons/how-to-train-your-dragon

🔥3

20 Jul 2026, 09:42 UTC73 views7 reactionsread 9 August 2026
Video

начал работу над супер шедевром классики "Гордость и предубеждение". пофразовое озвучивание и подстрочный перевод. https://engeasy.ru/ru/audiobooks/pride-and-prejudice/chapter-1/1

🔥4👍21

13 Jul 2026, 03:10 UTC68 views5 reactionsread 9 August 2026
Forwarded from @LabObraVideo

Как я заговорил на английском? Это был 2012, у меня была какая-то база теории. Я скачал аудиокнигу Хоббит 11 часов, сделал к ней субтитры. Наложил переводы. Нажимал каждую фразу, слушал ее внимательно и повторял несколько раз вслух. Так мои уши и язык привыкли к английским словам, особенно часто используемым. Через месяц такого слушания и проговаривания я уже не стеснялся говорить на английском, потому что любое слов

🔥31👍1

3 Jul 2026, 07:14 UTC172 views4 reactionsread 9 August 2026
Photo

Главная ошибка в изучении языка, то что вы учите слова не проверяя скорость вспоминания. Допустим вы выучили слово "quick" - быстрый. И сдали контрольную, где его правильно написали. НО, если вы не можете его вспомнить за 1-2 секунды после того как оно вам понадобилось, вы не сможете его использовать в разговоре. И вы не успеете его понять на слух. Чтоб сказать предложение, вам нужно быстро поставить в ряд 10 слов. Е

👍21🔥1

29 Jun 2026, 11:08 UTC184 views10 reactionsread 9 August 2026
Video

Владелец школы английского хочет перенести учебный процесс на мою платформу Engeasy.ru

5👍3🔥2

17 Jun 2026, 18:04 UTC97 views8 reactionsread 9 August 2026
Forwarded from @LabObraPhoto

оказывается в русском языке есть аналог английских I run ↔️ I am running бегаю ↔️ бегу "я бегу" значит прямо сейчас, а "я бегаю" - вообще. Аналогия не 100%, есть нюансы. В русском глаголов с такими состояниями около 20, если верить гуглу.

3🔥3👍1👏1

12 Jun 2026, 19:28 UTC203 views8 reactionsread 9 August 2026
Video

Пол дня монтировал 😁Engeasy.ru

🔥5😁21

29 May 2026, 01:56 UTC250 views6 reactionsread 9 August 2026
Video

Как я работаю над приложением. Добавил раздел Свинка Пеппа. Считаю это идеальный материал для начинающих

🔥4👍2

24 May 2026, 12:25 UTC105 views5 reactionsread 9 August 2026
Forwarded from @LabObra

❓Почему дети в жизни учат язык совсем не так, как в учебниках? Не темы, а скозные идеи 💡 Я точно помню как сын 👶 понял идею: предмет + материал. Где бы мы ни были — дома 🏡, на улице 🌳, в магазине 🛒 или на вокзале 🚉 — его интересовала одна и та же конструкция: 🍴 вилка железная 🥛 тарелка стеклянная 🏠 дом кирпичный 🚂 поезд железный Есть какая-то идея, например: вещи сделаны из чего-то. Это глубокая идея, потому что

🔥3👍2

7 May 2026, 10:24 UTC90 views6 reactionsread 9 August 2026

🚀 Проектирование EngEasy: вход в английский «с ноги» Друзья, я заново переделываю учебник! Прошлую версию я назвал v0, а теперь у нас v1. Коротко введу в курс дела и расскажу, какую задачу мы решаем. Концепция проекта: EngEasy — это инструмент для самых новичков, тех, у кого «нет склонности к языкам». Мы предлагаем зайти в английский через «черный ход»: даже если человек не знает латинских букв и не умеет читать,

👍6

2 May 2026, 10:06 UTC77 viewsread 9 August 2026
Forwarded from @LabObra

Самый сложный момент в моей «авторской системе» (создания языкового приложения/курса с нуля) оказался вот в чём. 🤔 Допустим, ученик уже знает слова love, take — в настоящем времени. У меня есть скрипт, который проверяет тексты уроков: какие слова знакомые, а какие нет. 📝 Но потом, спустя сколько-то уроков, мы проходим прошедшее время. И внезапно появляются loved, took. ⏪ По сути - это уже знакомые слова. Но по фор

Showing the 12 most recent of 15 posts we hold for @engeasyapp. 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.

Citation-graph rank

Citation-graph rank — 86,267 of 1,176,251entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

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

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

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.

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 August 2026 — this entry's latest reading, not the date you are reading this.

“Английский легко с0” (@engeasyapp), 75 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/engeasyapp.

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.