Channel
@mirolessonbank
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
213subscribers
+151 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003297863584 |
|---|---|
| Type | Channel |
| Username | @mirolessonbank |
| Created | Between 1 October 2025 and 28 February 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/mirolessonbank |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 13:43 | 213 | +142 |
| 23 Aug 2026, 09:25 | 71 | +7 |
| 15 Aug 2026, 17:42 | 64 | +1 |
| 10 Aug 2026, 03:45 | 63 | no change |
| 8 Aug 2026, 15:44 | 63 | +1 |
| 7 Aug 2026, 19:33 | 62 | first reading |
20 posts held, back to 18 March 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
90 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 33.3% | |
| 🔥 | 25 | 27.8% | |
| 😍 | 24 | 26.7% | |
| 🕊 | 6 | 6.67% | |
| 🥰 | 4 | 4.44% | |
| 💯 | 1 | 1.11% |
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 20 of the 20 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 18 March 2026 to 29 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.
📺🧡 Готовый урок "Binge-watch" Miro, B2, на основе учебного пособия "Speakout 3rd edition" (listening, vocabulary, grammar: vague language) 1️⃣Warm up работаем в парах, обсуждаем утверждения о сериалах. 2️⃣Lead in читаем инфографику "Binge! The stats behind our obsession with streaming" — угадываем пропущенные цифры . Затем читаем текст, находим и выделяем детали. 5️⃣ Vocabulary заполняем пропуски в предложения…
❤2🔥1🥰1
💜 🎧 Готовый урок «Performers" Miro, B2, на основе учебного пособия "Speakout 3rd edition" (listening, vocabulary, grammar, speaking) 1️⃣Warm up ранжируем ситуации от "совсем не страшно" до "очень страшно". Обсуждаем с партнёром: почему, делали ли что-то из этого, что произошло. 2️⃣Lead in соотносим phrasal verbs с их определениями, затем выбираем 3 темы из списка и отвечаем, используя фразовые глаголы. 3️⃣Liste…
🕊3❤1🥰1😍1
❤️🔥🏜️Готовый урок “Burning Man” Miro, B2 на основе учебного пособия "Speakout 3rd edition" (reading, grammar, speaking) 1️⃣ Warm up вспоминаем лучшее мероприятие, на котором были (концерт, фестиваль, шоу, спортивное мероприятие), рассказываем партнёру: где, что произошло, что сделало атмосферу особенной. 2️⃣ Lead in бегло читаем статью “Festivals: The good, the bad and the ugly”, дополняем предложения фестивально…
❤2🔥2😍2
🎨⏳ Готовый урок "Time Traveller" Miro, B2 на основе учебного пособия "Speakout 3rd edition" (watching, vocabulary, speaking) 1️⃣ Warm up думаем об известном человеке из истории, которым восхищаемся, описываем его партнёру, не называя имени — используем personality words и детали биографии. Партнёр угадывает. 2️⃣ Lead in читаем описание эпизода Doctor Who, в котором Доктор и его спутница Эми отправляются во Францию…
❤2🔥2😍2
📖🎬 Готовый урок "Storytelling" Miro, B1 на основе учебного пособия "Speakout 3rd edition" (past simple & present perfect) 1️⃣ Warm up обсуждаем вопросы: что делает историю хорошей, менял ли когда-нибудь фильм или книга ваш взгляд на мир и тд. Объясняем свой выбор. 2️⃣ Vocabulary соотносим слова о сторителлинге с их значениями (plot, hero, storyline, reading, characters, fairytale, performances, plot twist), затем …
❤2🔥2😍2
🪂🌍 Готовый урок "Amazing Lives" (speculation phrases) Miro, B2 на основе учебного пособия "Speakout 3rd edition" (reading, vocabulary, speaking) 1️⃣Warm up обсуждаем цитату в паре/ с учителем. 2️⃣ Lead in знакомимся с тремя экстремальными образами жизни: Life at sea, Life in space, Life around the world. Смотрим на заголовки и предсказываем, чем занимается каждая девушка, кто бы выбрал такой стиль жизни. 3️⃣ Read…
❤2🔥2🥰2
🤩🤩Готовый урок “What happened?” (narrative tenses) Miro, B1 на основе учебного пособия "Speakout 3rd edition" (listening, vocabulary, grammar, speaking) 1️⃣ Warm up проходим квиз о путешествиях: соотносим факты с вариантами ответов, проверяем результаты. 2️⃣ Lead in обсуждаем вопросы в паре/ с учителем. 3️⃣ Vocabulary соотносим chunks с их значениями, затем вставляем изученные фразы в предложения о путешествиях и…
❤3🔥2😍2
🩴👩💻 Разговорный урок "Burnout from working from home" Miro, B1-B2 (reading, vocabulary, speaking) 1️⃣Lead in смотрим три коротких видео (Shorts) о работе из дома, обсуждаем, какие эмоции они вызывают, голосуем сердечками за понравившееся. 2️⃣Collaboration обсуждаем вопросы в группе, объясняем свой выбор. 3️⃣Four Opinions читаем четыре мнения о работе из дома — от полного восторга до убеждения, что WFH убивает кр…
❤2🔥2😍2
🌸💜 Готовый урок "Dopamine Menu" Miro, B1-B2 (reading, vocabulary, speaking) 🕰️Time: 90 min 1️⃣ Collaboration обсуждаем вопросы в паре: что первым делом делаете утром и даёт ли это дофаминовый буст, вспоминаем последний по-настоящему хороший день и какие активности дали больше всего энергии. 2️⃣ Vocabulary соотносим выражения с определениями: hard-wired to, work wonders, set the tone for, boost your mood, lose trac…
❤1🔥1😍1
😍✨Готовый урок ESL Brains "Choices we make every day" (either, neither, both) Miro, B1 (grammar, watching, speaking) 1️⃣ Warm up думаем о своём обычном дне, называем три выбора, которые делаем каждый день, обсуждаем, какой из них самый сложный и почему. 2️⃣ Lead in Соотносим фразы с их значениями (rush everything, waste time, find a better balance, feel more in control, make a big difference, set time limits и др…
❤1🔥1😍1
🌿🦋 Готовый урок “Closer to Nature” (Quantifiers) Miro, B2, на основе учебного пособия "Speakout 3rd edition" (listening, grammar, speaking) 1️⃣ Warm up смотрим на фотографии и обсуждаем их. 2️⃣ Lead in отвечаем на вопросы: проводите ли вы время на природе, какие места любите посещать, почему время на свежем воздухе полезно. 3️⃣ Listening проходим квиз о связи человека и природы, затем слушаем фрагмент программы B…
❤1🔥1😍1
🪐👩💻 Готовый урок "Real or Virtual?" (Future Probability) Miro, B2, на основе учебного пособия "Speakout 3rd edition" (grammar, reading, speaking) 1️⃣Warm up смотрим на фотографии гаджетов, обсуждаем: что это, пользовались ли вы этим, как думаете — изменят ли технологии нашу жизнь ещё сильнее. 2️⃣ Lead in обсуждаем вопросы. 3️⃣ Vocabulary соотносим фразы (1–6) с их значениями (a–f), затем используем минимум 3 из …
❤1🔥1😍1
Showing the 12 most recent of 20 posts we hold for @mirolessonbank. 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 — 546,358 of 1,629,571 entries 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.
Named by 1 registered channel — 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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“☕️💛Miro Lesson Bank by tanyy_eng” (@mirolessonbank), 213 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/mirolessonbank.
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.