Channel
@englishfile_miro
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,187subscribers
+60 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003109091997 |
|---|---|
| Type | Channel |
| Username | @englishfile_miro |
| Created | Between 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/englishfile_miro |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 19:36 | 1,187 | +30 |
| 14 Aug 2026, 13:45 | 1,157 | +4 |
| 10 Aug 2026, 20:07 | 1,153 | +22 |
| 7 Aug 2026, 23:48 | 1,131 | no change |
| 7 Aug 2026, 19:00 | 1,131 | +4 |
| 7 Aug 2026, 17:02 | 1,127 | first reading |
16 posts held, back to 9 June 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 16 (9 June 2026 – 5 August 2026) |
| Views total | 886 |
| Reactions total | 47 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:48 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.
Measured directly from 4 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.
238 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 25.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 61 | 25.6% | |
| 🔥 | 60 | 25.2% | |
| 😍 | 39 | 16.4% | |
| ❤🔥 | 37 | 15.5% | |
| 🤩 | 24 | 10.1% | |
| 🎉 | 17 | 7.14% |
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 16 of the 16 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 238reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 9 June 2026 to 5 August 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.
Помните эти ромкомы нулевых? 🎬✨ Героиня сначала часами работает над проектом или часами зависает над книгами в библиотеке. А потом -вжух! Монтажная склейка, и она отвечает на семинаре или откатывает презентацию так, что все замолкают от восторга. А в конце - обязательно та самая сцена, где она сияет, произнося финальную речь. Мы с Мариной и Дашей сделали набор именно под такую трансформацию для педагогов, чтобы вы …
🔥4❤3🎉2
Делимся материалами⭐ Карты с приятными, уютными городками для тренировки сразу нескольких важных тем: - prepositions of place/movement - navigation - city places vocabulary Ваши студенты точно оценят эту атмосферу🪵🌟 Забрать по ссылке 💘 Если вам понравилось, поставьте вашу реакцию 🩷
❤🔥5🎉4😍2
Уже в это воскресенье выходит Unit 10! Содержание: Grammar: superlative adjectives; be going to (plans and predictions); future time expressions Vocabulary: places and buildings; city holidays; playing cards Pronunciation: consonant groups; sentence stress; the letters ear Listening: using prior knowledge to predict content; note-taking; understanding specific information; checking predictions; using visual clues to…
❤3🔥3😍2
Когда у ученика всё в одном месте — занятия становятся намного организованнее! Создали для вас Student Dashboard (редактируемый) — эстетичное рабочее пространство для сопровождения ученика на протяжении всего курса. Внутри есть: 🟢расписание занятий и календарь на месяц 🟢 информация об оплате и количестве оставшихся уроков 🟢 отдельное поле для домашнего задания 🟢 пространство для общих заметок 🟢 напоминание о перено…
🔥10❤6🤩3
Новый учебный год — лучшее время выстроить систему, с которой работать станет легче, а уроки будут сильнее🤍 Именно поэтому мы объединились и подготовили предложение, которое действительно закрывает все основные задачи преподавателя, работающего с начинающими взрослыми. 🖇️English File Elementary на Miro и holst от Марины и Тони — это полностью готовый интерактивный курс, где уже есть всё для проведения уроков: – Stu…
❤7🔥2🤩2
🔡🔡🔡🔡🔡 Собрали любимых Смешариков (простите, Kikoriki) в летнюю настолку для отработки Past Simple во всех формы: утверждение, отрицание, вопрос и краткий ответ!🌟 🎲 Как играть: Открываем файл из комментариев в браузере (любом), настраиваем количество игроков (2-4) и начинаем игру! Кидаем кубик, двигаемся по полю, попадаем на карточку и составляем предложение по картинке-подсказке💜 25 полей от старта до финиша, с ко…
❤🔥16😍6🎉5
Уже в воскресенье выходит Unit 9 English File Elementary! Содержание: Grammar: countable / uncountable nouns; a / an; some / any; how much / how many; a lot of, etc.; comparative adjectives Vocabulary: food and drink; food containers; high numbers Pronunciation: the letters ea; /ʃ/ and /s/; /ə/; sentence stress Listening: hypothesizing from photos to tune in to listening; understanding instructions; focusing on reas…
🔥3😍3❤1
Этот урок мы придумали вообще внезапно. Мы обе играем в «Клуб романтики», и там есть история «И поглотит нас морок» — она как раз вдохновлена славянской мифологией. А Тоня ещё играет в Cabernet, где была серия про Ивана Купала. В общем, мы такие: почему бы не сделать из этого атмосферный вормап? А получился целый урок🌸 📜Начинаем с ассоциаций: студенты смотрят на три эмодзи — fire, water, flower — и пишут, что прих…
❤6🔥4🤩2
Настолка, которая спасает How often…? от скучного опроса по кругу! Дарим board game для взрослых elementary-студентов в летнем стиле — как раз хорошо ложится к 4 юниту English File Elementary, где появляются adverbs of frequency и вопросы: How often do you…? How often are you…? Студенты двигаются по полю, попадают на разные клетки и задают друг другу вопросы: How often do you eat rice? How often are you late for wor…
❤🔥12🤩8🔥5
Мы подключили рассрочку ✨ Нам очень хотелось, чтобы наш перенос English File Elementary был доступнее для преподавателей, которые давно к нему присматривались. Теперь учебник можно забрать сразу, а оплату разделить на комфортные части* Оплата долями помогает сделать покупку легче и комфортнее — без большой разовой оплаты и лишнего напряжения для бюджета. Не нужно ждать зарплату, переносить покупку “на потом” или …
🔥5❤4😍4
Чем заняться, когда хочется повторить вообще все? Конечно же, описывать картинки или искать на них ошибки!🍋 Я подготовила сет из 2 рабочих листов, в каждом из которых вам пригодится умение замечать (спойлер: особенно во втором): 1) Describe the picture - описываем обстановку, персонажей, действия, общую атмосферу. 2) What's wrong in the picture? - ищем ошибки на картинках и описываем, что же должно быть на самом де…
❤10😍5🔥4
Уже завтра вечером выходит Unit 8 English File Elementary! И нельзя не отметить, что он очень атмосферный 🔥 Содержание: Grammar: past simple: regular and irregular verbs; there is / there are; some / any + plural nouns; there was / there were Vocabulary: irregular verbs; the house; prepositions: movement and place Pronunciation: past simple verbs; /eə/ and /ɪə/; silent letters Listening: using body language to infe…
❤6🔥3😍3
Showing the 12 most recent of 16 posts we hold for @englishfile_miro. 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 — 170,813 of 1,548,671entries 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.
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.
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“English File на Miro и holst” (@englishfile_miro), 1,187 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/englishfile_miro.
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.