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❤10❤🔥4💘2

Channel
@mariamalyshevaru
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
10,379subscribers
-216 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001635673214 |
|---|---|
| Type | Channel |
| Username | @mariamalyshevaru |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/mariamalyshevaru |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 02:46 | 10,379 | -12 |
| 8 Nov 2026, 17:55 | 10,391 | -5 |
| 7 Nov 2026, 10:15 | 10,396 | -1 |
| 6 Nov 2026, 12:48 | 10,397 | -2 |
| 4 Nov 2026, 15:08 | 10,399 | -5 |
| 3 Nov 2026, 13:44 | 10,404 | +2 |
| 2 Nov 2026, 16:16 | 10,402 | -1 |
| 1 Nov 2026, 16:47 | 10,403 | -6 |
| 31 Oct 2026, 14:14 | 10,409 | -5 |
| 30 Oct 2026, 14:48 | 10,414 | -2 |
| 29 Oct 2026, 17:46 | 10,416 | -3 |
| 28 Oct 2026, 18:01 | 10,419 | -3 |
| 27 Oct 2026, 17:09 | 10,422 | +7 |
| 25 Oct 2026, 16:17 | 10,415 | -1 |
| 24 Oct 2026, 13:48 | 10,416 | +1 |
| 23 Oct 2026, 11:26 | 10,415 | -1 |
| 22 Oct 2026, 13:48 | 10,416 | -6 |
| 21 Oct 2026, 05:26 | 10,422 | -7 |
| 20 Oct 2026, 00:06 | 10,429 | -3 |
| 19 Oct 2026, 01:09 | 10,432 | first reading |
46 posts held, back to 5 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 51 pages of 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. It is computed over the 8 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 November 2026 |
|---|---|
| Posts held | 46 (5 August 2026 – 9 November 2026) |
| Views total | 4,690 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 21:46 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 8 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.
110 reactions across 28 posts, in 8 distinct kinds. The most used accounts for 54.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 60 | 54.5% | |
| 🔥 | 16 | 14.5% | |
| ❤🔥 | 11 | 10.0% | |
| 👍 | 11 | 10.0% | |
| 🆒 | 5 | 4.55% | |
| 🙏 | 3 | 2.73% | |
| ⚡ | 2 | 1.82% | |
| 💘 | 2 | 1.82% |
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 28 of the 46 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 110 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 5 August 2026 to 9 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’s own ‘edited’ marker: 4 of 16 posts held from the last 30 days (25.0%) 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).
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❤10❤🔥4💘2
Друзья, я очень часто создаю аудиотренажеры именно по вашим просьбам 🥰 ✅ У нас уже есть тренажёры для самых разных жизненных ситуаций: поход к врачу, заказ еды в ресторане, small talk, общение с детьми и многое другое. А в каких ситуациях вам особенно не хватает английского? Когда вроде бы знаете, что хотите сказать, но не можете быстро подобрать нужные слова? ❕Здесь можно попробовать 3 дня бесплатно Расскажите в…
🎧 Новые тренажёры уже в Audio Club! На этой неделе делаем особый акцент на точности речи — тренируем грамматику, чтобы правильные конструкции постепенно становились привычными и легко использовались в разговоре. А ещё в разделе «Словарный запас» появился классный тренажёр: «Описание себя и характера человека». Учимся рассказывать о себе, своих качествах и особенностях других людей. Выбирайте тренажёры, включайте н…
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Video message, posted without a caption
🥰 Если вы хотите не просто посмотреть видео и через пять минут всё забыть, а реально натренировать грамматику, у меня для вас кое-что есть: целых 3 дня бесплатных тренировок грамматики в АУДИОФОРМАТЕ! 🔥 🎧 Я взяла СИНИЙ МЕРФИ — самый популярный учебник английской грамматики в мире — и на его основе собрала аудиотренажёры по всем временам английского глагола Теперь можно не разбираться в правилах, а слушать готовые …
🤔 Знаете, откуда вообще появилась идея рубрики «Бытовой английский»? Однажды моя ученица, которая уже несколько лет живёт за границей, сказала мне: «Маша, вот эти маленькие фразы — что-то сказать в тему, правильно назвать какое-то бытовое действие — это же настоящее золото! Ты даже не представляешь, как этого не хватает» 💭 📌 И я задумалась. Ведь действительно! Как сказать «откупорить бутылку», «вспенить шампунь» ил…
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Который раз убеждаюсь, что самое важное в обучении — сначала разобраться в человеке, а уже потом выбирать, чему и как его учить 💡 Потому что иногда за запросом «подтянуть язык» скрывается совсем другая задача. 🇦🇺 Например, Ирина живёт в Австралии уже 9 лет, окончила местный университет, много общалась с носителями языка, занималась с преподавателями. Но в какой-то момент почувствовала, что английский перестал расти.…
❤1
😉 А вы знали, что есть один из самых популярных учебников английской грамматики в мире? А он есть, и это Синий Мёрфи. Я взяла его и перевела в аудиоформат: для каждого юнита создала отдельную аудиотренировку с примерами и правильными конструкциями из этого раздела 🎧 ➡️ Вы слушаете, повторяете фразы и закрепляете знания так, чтобы не просто понимать правила, а запоминать, как правильно говорить по-английски. 🔥 И це…
🔥6
🥰 А какие мысли вы когда-то услышали от других, присвоили себе и теперь считаете важными жизненными принципами? По каким из них стараетесь жить? ❤️
⚠️ Даже хороший разговорный английский не гарантирует вам, что вы будете хорошо подготовлены к собеседованию, например, в иностранную компанию, к разговору с врачом или обсуждению условий аренды жилья. Поэтому разумнее заранее готовиться к конкретным жизненным ситуациям: знакомиться с нужными выражениями и тренироваться их использовать 🎯 🔥 И один из самых удобных способов — аудиотренажёры. Всё просто: слушаете фраз…
🌾 И в русском языке есть свои прикольчики, например слово «коса». Есть та, которой заплетают волосы, есть коса, которой косят траву, и коса, которая уходит в море. И всё это — одна и та же «коса»! 😉 🌎 Вот так и живут два языка: в каждом свои правила, странности и выражения, которые не всегда получается понять дословно. Поэтому язык познается по-разному — не только изучением перевода слов и заучиванием идиом. У кажд…
👍1
Showing the 12 most recent of 46 posts we hold for @mariamalyshevaru. 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.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Maria Malysheva English” (@mariamalyshevaru), 10,379 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/mariamalyshevaru.
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.