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 20 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 why it has no browse page of its own yet.
Growth
6 measurements spanning 57 days, net +7. 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 802–811 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Oct 2026, 07:57
810
+1
10 Sept 2026, 05:37
809
+4
31 Aug 2026, 01:47
805
-1
15 Aug 2026, 00:56
806
+3
8 Aug 2026, 01:35
803
no change
7 Aug 2026, 20:30
803
first reading
Engagement
18 posts held, back to 22 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 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 18 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 40s
Average length
50s
Measured directly from 2 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
299 reactions across 18 posts, in 15 distinct kinds. The most used accounts for 29.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
89
29.8%
❤🔥
72
24.1%
👍
57
19.1%
🔥
45
15.1%
custom 5413657760933880470
10
3.34%
🏆
5
1.67%
🤔
5
1.67%
✍
4
1.34%
💯
3
1.00%
custom 5409015472517553802
2
0.669%
🎉
2
0.669%
🫡
2
0.669%
⚡
1
0.334%
🤣
1
0.334%
🥰
1
0.334%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 18 of the 18 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 299 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 22 June 2026 to 7 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.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
14
of 18 we hold a reading for · 78%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BusinessEnglish_Helen. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 18 most recent posts we hold for this entry, published 22 June 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Вместо ❌It’s not a problem
✅deal-breaker (dealbreaker/deal breaker) = это фактор, который полностью ломает договорённость, отношения, решение или выбор
✅It’s not a deal-breaker = это не критично / это не проблема / это не повод отказываться / это не меняет решение / из-за этого не стоит отказываться
Да, этой фразой можно заменить ➡️ It’s not a problem, только есть небольшой нюанс:
⭕️not a deal-breaker = это когда…
Вчера мне попался шикарный пример общения в американской корпоративной культуре. А пример то еще и немного с юмором😄
Вообще обычно такие отрывки из видео даю на своем курсе и занятиях по деловому английскому.
По сравнению с Russian speakers 🇺🇸американцы и 🇬🇧британцы в корпоративной среде менее прямолинейны.
Они часто избегают жёстких высказываний, особенно когда речь идёт о критике, отказе или негативе.
И получае…
Знаете глагол APPLY?
💯 Знаете, что ✅apply = подавать заявление/заявку
Но думаю не задумывались о предлоге после него? Разберем самые основные.
1/ apply TO … = подавать заявление куда-то/в какое-то место: company, university, college, Google, Harvard, embassy and etc.
⏺ I applied to three universities.
⏺ I applied to Harvard.
2/ apply FOR … = подавать заявление на что-то: job, visa, loan, scholarship, position an…
Заметки с моего субботнего занятия
💡Свет: включаем, выключаем сами или он гаснет сам?
✅Turn on / Switch on — ВЫ САМИ включаете свет
✅Turn off / Switch off — ВЫ САМИ выключаете свет
✅Go out — свет гаснет САМ (без вашего участия)
⏺All of a sudden the lights went out. / Внезапно погас свет.(авария, перегорела лампочка, отключили электричество, в общем причины могут быть разные)
Don't forget to learn phrasal verbs!
🔥Три крутые фразы для прокачки вокабуляра!
Вместо ignore можно сказать:
✅THE SILENT TREATMENT = специально игнорировать человека (часто в наказание или из обиды)
⏺Instead of talking to me, he just gave me the silent treatment.
Вместо for the best можно сказать:
✅BLESSING IN DISGUISE = то, что оказалось неожиданно хорошим, полезным, даже если сначала казалось плохим (это оказалось лучше, чем я думал)
⏺Losing that jo…
Не подумайте, что я тут красуюсь, выкладывая себя.😅 Делаю это только исключительно в образовательных целях.
Итак, речь пойдет о слове ROUTE.
Запишу вам целое аудио, пост будет не так интересен!🤓
🤯СНОВА СЛОЖНОСТИ
Очередное слово, которое вызывает трудности при переводе: СОГЛАСОВАТЬ
Да да, на английский оно не переводится одним универсальным словом. Выбор зависит от контекста.
Запоминайте:
1️⃣approve — утвердить (когда речь о документе, плане, бюджете)
🟡The manager approved the proposal. / Менеджер утвердил предложение.
2️⃣coordinate — согласовать действия, договориться (когда нужно договориться между люд…
Как же я хочу сделать digital detox!
Но пока не могу, у меня он планируется в сентябре во время отпуска, там у меня будет очень плохо ловить интернет😅
А что может быть более радикальным, чем doing a digital detox?
Только going off-grid!
✅Go/live off-grid (or: off-the-grid) = жить автономно, без связи с цивилизацией или цифровым миром, то есть вы вы уезжаете в отдалённое место (лес, горы, деревню), где нет интерне…
У меня плавятся мозги! Friday же! The end of the work week.
И вот что я могу сказать↘️
Less common:
🧠 My brain is mush = мозги «расплылись», не могу ясно мыслить
⏺My brain is mush. So I can’t think clearly; I’m mentally exhausted.
🪼My brain is turning to jelly = мозг перегружен, не могу концентрироваться
⏺After three meetings in a row, my brain is turning to jelly.
More common:
🔥 My brain is fried = полностью …
Showing the 12 most recent of 18 posts we hold for @BusinessEnglish_Helen. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Английский для работы и жизни” (@BusinessEnglish_Helen), 810 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/BusinessEnglish_Helen.
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.