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Channel
Well...English
@AnastasiaProEnglish
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
207subscribers
+70 since we began measuring on 12 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003962580056 |
|---|---|
| Type | Channel |
| Username | @AnastasiaProEnglish |
| Created | Between 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 October 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/AnastasiaProEnglish |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Oct 2026, 03:20 | 207 | +70 |
| 12 Oct 2026, 18:22 | 137 | first reading |
Engagement
20 posts held, back to 9 September 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.
- ERR · 30 days
- 69.3%
- avg views ÷ 207 subscribers
- Avg views / post
- 144
- 16 posts measured
- Reaction rate
- 5.40%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 20 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.
| Window | Rolling 30 days · latest post in window 11 October 2026 |
|---|---|
| Posts held | 20 (9 September 2026 – 11 October 2026) |
| Views total | 2,296 |
| Reactions total | 124 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 18:22 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
- Video runtime
- 33s
- Average length
- 11s
Measured directly from 3 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
141 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 28.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 40 | 28.4% | |
| 👍 | 32 | 22.7% | |
| 🔥 | 25 | 17.7% | |
| 🤣 | 15 | 10.6% | |
| 🤔 | 8 | 5.67% | |
| 😇 | 6 | 4.26% | |
| 💯 | 4 | 2.84% | |
| 🤓 | 4 | 2.84% | |
| ❤🔥 | 2 | 1.42% | |
| ⚡ | 1 | 0.709% | |
| 😢 | 1 | 0.709% | |
| 🤩 | 1 | 0.709% | |
| 🤷♂ | 1 | 0.709% | |
| 🥰 | 1 | 0.709% |
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 19 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 141 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 9 September 2026 to 11 October 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
Это welcome drink для новых подписчиков 😊 Меня зовут Анастасия. Я много лет работала в международных бизнес-проектах и теперь вместе с вами учусь жить в новой реальности. Здесь — истории с уроков, разборы, практика и инструменты, которые помогают говорить увереннее. Английский для общения, решений и перемен: естественно и по делу. Вам точно будет полезно: Практики стало меньше. Как не растерять язык вне среды. …
❤10🔥7❤🔥2⚡1
Смотрите, как работает good в этих фразах: 🍰 Официант предлагает десерт, а вы отказываетесь: I’m good. → Спасибо, не нужно. 🙂 Вас случайно задел прохожий и извинился, вы говорите: You’re good. → Всё нормально, ничего страшного. 🤝 Друг переживает, что вы на него обиделись. Вы говорите: We’re good. → Всё нормально, между нами всё в порядке. Как вы сегодня? All good?
👍5🔥1🤷♂1
Итак, провожу ревизию своих навыков. Более 12 лет работала как Project Manager в разных проектах с крупными международными компаниями. После их ухода эта карьера закончилась. Что по навыкам? Отчёты, планы, статусы: тут, скорее всего, ИИ уже быстрее меня. Ладно. А вот эти навыки я использую до сих пор, только теперь в работе преподавателя: договориться, отследить прогресс, проверить результаты, иногда получить опла…
❤7👍2
Непосредственность Юры Борисова в этом интервью на английском подкупает. 😊 Очень жду «Искусственный» — фильм про ИИ с его участием.
❤4🤣4💯1
Люблю такие моменты. Вчера на уроке встретился вопрос: What do you think of this film? Ученица спрашивает: «А почему не What do you think about this film?» Стали разбираться. 🙂 What do you think of this film? — больше про реакцию: понравился, не понравился, что думаете в целом? 🙂 What do you think about this film? — больше про мнение: здесь уже можно ожидать развёрнутых объяснений. Границы, конечно, не строгие. …
👍7❤1
Ну что, смотрю, особо тревожных у нас нет.👆 Спасибо всем, кто поставил реакцию. А я провожу ревизию своих навыков. Три столбика: Мои ценные навыки. Что из этого теперь умеет ИИ? Что из моих навыков ещё имеет ценность? С третьей колонкой пока, мягко говоря, не густо.
❤7
Забираем лайфхак. — Мам, купи мне это! — Что там? — Бомбочка для ванны. — А, это не настоящее. Это ИИ. — Ну блииин…
🤣4🔥1
А вас вообще волнует, отнимет ли ИИ у вас работу? 🥲 Думаю об этом всё чаще. 🤓 Надеюсь, меня не заменит. 😇 Пока не думаю. Посмотрим. 😭 Мою работу заберёт не ИИ.
😇6🤓4💯1😢1
Я спросила у трёх моделей ИИ, что мне делать дальше, если кое-что из моей работы они уже делают лучше меня. Ответы получились обнадёживающие. ChatGPT: идите в сторону искусства и возможностей Петербурга. В крайнем случае — станьте гидом. Claude: переучитесь на медсестру. И подумайте об уходе за пожилыми. Gemini: попробуйте себя в HR и карьерном консультировании. То есть мой план профессионального развития на бли…
❤11
Из серии про сложные разговоры: → Let's make this happen — когда всё успешно → Фразы, которые помогают понять ход встречи → Фразы, которые помогают управлять разговором → Just to make sure — когда нужно притормозить → Could you walk me through this? — просим объяснить → Почему на важной встрече мы говорим хуже, чем умеем? И главное — не забывайте проговаривать фразы вслух.
🔥2
💻 Последние недели делилась с вами навыками, которые мы с учеником тренировали в реальном бизнес-кейсе: готовились к сложным разговорам на английском, high-stakes talks. Собрала посты в один дайджест 👇 Если у вас в команде сейчас есть человек, которому предстоят непростые переговоры, — перешлите ему. Иногда полезно заранее понять, почему в важный момент английский вдруг становится хуже.
👍2
Showing the 12 most recent of 20 posts we hold for @AnastasiaProEnglish. 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.
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.
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.
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“Well...English” (@AnastasiaProEnglish), 207 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/AnastasiaProEnglish.
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.