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 16 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.
Growth
19 measurements spanning 92 days, net -35. 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 1,780–1,825 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Nov 2026, 13:45
1,785
-1
23 Oct 2026, 23:36
1,786
+1
21 Oct 2026, 08:59
1,785
-2
18 Oct 2026, 09:28
1,787
-2
15 Oct 2026, 16:39
1,789
-1
12 Oct 2026, 18:21
1,790
+1
6 Oct 2026, 08:55
1,789
-5
29 Sept 2026, 13:39
1,794
-4
19 Sept 2026, 17:01
1,798
-2
15 Sept 2026, 06:55
1,800
-2
11 Sept 2026, 14:58
1,802
-3
7 Sept 2026, 00:58
1,805
-5
2 Sept 2026, 14:09
1,810
-3
24 Aug 2026, 18:13
1,813
-3
21 Aug 2026, 03:47
1,816
-2
12 Aug 2026, 04:53
1,818
-1
8 Aug 2026, 19:20
1,819
-1
6 Aug 2026, 06:50
1,820
no change
5 Aug 2026, 23:01
1,820
first reading
Engagement
18 posts held, back to 3 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages 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 3 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 29s
Average length
5m 29s
Measured directly from 1 video 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
187 reactions across 15 posts, in 14 distinct kinds. The most used accounts for 36.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
69
36.9%
🔥
45
24.1%
👍
12
6.42%
👏
11
5.88%
🙏
10
5.35%
🏆
8
4.28%
✍
7
3.74%
🥰
7
3.74%
🤣
6
3.21%
😍
4
2.14%
❤🔥
3
1.60%
🍾
2
1.07%
🤩
2
1.07%
💊
1
0.535%
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 15 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 187 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 3 June 2025 to 3 June 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
6
across the posts below
Posts paid on
2
of 17 we hold a reading for · 12%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nashenglish. 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 3 June 2025 to 3 June 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.
Aquapark или water park? Как правильно?
Русскоязычные ученики часто говорят aqua park по аналогии с «аквапарк». Это не ошибка, но звучит не совсем по-английски.
Water park (послушать) - самый распространённый вариант в американском и британском английском.
Waterpark (слитно) - тоже норма, часто встречается в названиях
Aqua park/aquapark - понятно всем, но звучит как "международный" вариант, не от носителей.
Ниж…
Одно слово имеет два противоположных смысла. Само себе антоним. Такое бывает?
Далеко ходить не надо. Такое есть и в нашем родном языке.
Одолжи мне денег - дай в долг. Я одолжила книгу у подруги - взяла в долг.
Я прослушала всю лекцию - внимательно, от начала до конца. Я прослушала важный момент - пропустила мимо ушей.
Хочу сразу оговориться - сказать намеренно. Я оговорилась, прости - сказала случайно не то.
В а…
Ответ на вопрос выше - сat’s eyes («кошачьи глаза»). Эти светоотражающие маркеры на обочине придумал и запатентовал британец Перси Шоу в 1934 году, вдохновившись глазами кошки. Он ехал ночью в густом тумане и увидел, как фары отразились в глазах кошки на обочине. Это его и спасло, и вдохновило на изобретение. Резиновый корпус со стеклянными рефлекторами уходит вглубь при наезде колеса и самоочищается.
Части тела ча…
Fatigue Zone - знаки, которые спасают жизни… с помощью английского.
Посмотрите на эти знаки с австралийских шоссе Квинсленда. Они называются Fatigue Zone signs, и это гениальная идея!
Когда водитель засыпает за рулём на длинной трассе, его мозгу нужна встряска. И вместо банального “Не засыпай!” австралийцы придумали викторину прямо на дороге:
Fatigue Zone - Зона усталости
Question: Floral emblem of Queensland?
Вопр…
В День Победы в голове заучит песня «Журавли». Всегда. И сложно не плакать, зная её историю.
В селе Дзуарикау есть необычный памятник. Мать, склонившая голову, и семь журавлей, улетающих в небо. Она проводила на фронт всех семерых сыновей, и ни один не вернулся.
В 1965 году дагестанский поэт Расул Гамзатов побывал в Японии, где увидел памятник девочке Садако - жертве Хиросимы, складывавшей бумажных журавликов в над…
Почему одно слово - это целая сеть?
Когда человек только начинает учить английский, слово chicken
у него живёт в очень маленькой “клетке”.
“
Chicken or fish?
”
услышанное от стюардессы - вот и всё, один контекст, одна ассоциация.
А теперь представьте тот же вопрос в самолёте, но к человеку с опытом в изучении английского. У него в голове не одна связь, а целая сеть.
Chicken - еда, понятно.
Don't be a chicken! -…
Ботаника для «ботаников»
Первый этап реализации лексического подхода к изучению языка — наблюдение за словами и словосочетаниями «в дикой природе», изучение их под микроскопом, наблюдение за изменениями в разных ситуациях.
Например, Вы выращиваете и продаете на Озоне растения-эпифиты. Это те самые интересные экземпляры, которым почва не нужна, а корни - только для того, чтобы прикрепиться к другому растению.
На …
Лайфхак про еду, произношение и Google
А знаете ли вы, что многие вкусные слова в английском произносятся не совсем так, как многие думают?
Часть букв не произносится или заменяется на другие звуки…
• lamb /læm/ — ягнятина
• salmon /ˈsæm.ən/ — лосось
• raspberry /ˈræz.bɛr.i/ — малина
• sandwich /ˈsæn.wɪtʃ/ — сэндвич
• almond /ˈɑː.mənd/ или /ˈæm.ənd/ — миндаль
• sorbet /sɔːrˈbeɪ/ — сорбет
• tortillas:…
❤11🔥4👏3
Signed Natalia Shevtsova
Showing the 12 most recent of 18 posts we hold for @nashenglish. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Английский для экспертов” (@nashenglish), 1,785 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/nashenglish.
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.