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 19 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
15 measurements spanning 64 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 1,024–1,058 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Oct 2026, 23:14
1,050
+22
5 Oct 2026, 01:17
1,028
-4
25 Sept 2026, 17:57
1,032
-7
15 Sept 2026, 17:37
1,039
-1
11 Sept 2026, 22:21
1,040
-6
7 Sept 2026, 16:17
1,046
-1
2 Sept 2026, 20:18
1,047
+2
30 Aug 2026, 15:47
1,045
-1
27 Aug 2026, 20:52
1,046
-4
20 Aug 2026, 14:44
1,050
-3
17 Aug 2026, 10:23
1,053
-1
14 Aug 2026, 01:06
1,054
+2
10 Aug 2026, 14:34
1,052
+9
8 Aug 2026, 00:20
1,043
no change
7 Aug 2026, 15:35
1,043
first reading
Engagement
13 posts held, back to 11 July 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 13 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
203 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 22.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5422436528058037048
45
22.2%
👍
39
19.2%
🔥
30
14.8%
custom 5210720727996576815
25
12.3%
custom 5253547504762391892
16
7.88%
🙏
12
5.91%
🤣
12
5.91%
🙈
11
5.42%
🏆
8
3.94%
custom 5438272059593469130
5
2.46%
Custom emoji. 4 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 13 of the 13 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 11 July 2026 to 5 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
2
across the posts below
Posts paid on
2
of 13 we hold a reading for · 15%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @FLAME_lang_Academy. 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 13 most recent posts we hold for this entry, published 11 July 2026 to 5 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.
❓ Check Yourself ❓
На недавней встрече разговорного клуба обсуждали тему FEAR. Бурное обсуждение вызвало задание про фобии - решила предложить и вам!
🤔 Попробуйте назвать объекты страха для следующих фобий (ответы - в комментариях)
Сколько угадали?
😎 Круче меня на этой фотке только эти фразочки 😎
Не так давно наткнулась на несколько "вкуснейших" фраз, которыми не могу не поделиться с вами:
💣 through thick and thin - сквозь огонь и воду, в радости и горе
We’ve been through thick and thin together.
Мы вместе прошли сквозь огонь и воду.
💣 guilty as charged - "каюсь, виноват", "грешен" - идеально, когда вас в чем-то уличили
- You spend way too much time on Tik…
🔔 Английский за август: стартуем через неделю! 🔔
Перешлите этот пост родителям школьников и спасите их нервные клетки! 😕
Август - идеальное время, чтобы мягко и без нервов вернуть ребенка в учебный режим. Наш двухнедельный интенсив поможет минимизировать пробелы и встретить 1 сентября уверенно, не словив паничку.
🗓 Даты старта: 3 августа и 17 августа
🤩 Для кого: школьники 2-9 классов
Успейте забрать место в гр…
Не могу остановиться...
...читая автобиографию Уилла Смита. Настоящий page-turner!
😒 Честно говоря, я без ума от этого человека. А сейчас, читая его книгу, влюбляюсь восхищаюсь им еще сильнее! Особенно советую ценителям хип-хопа, рэпа и DJ-культуры и, конечно, фанатам актерского творчества Смита.
Книга подойдет для уровня B2 и выше. В ней много разговорного языка и американского сленга. Именно благодаря ей я након…
🧠 Читаем в оригинале без Advanced! 🧠
Своим студентам я обычно говорю: книга на английском вам подходит, если на странице вам понятно примерно 90% написанного. Не меньше. Иначе чтение быстро превращается из удовольствия в мучение.
Поэтому я часто рекомендую ридеры (адаптированную литературу), ибо полноценный оригинал, как правило, становится доступен с уровня B2+ и выше.
💃 НО есть такие (редкие) авторы, которые пиш…
🤍 Полюбить английский летом и ворваться в учебный год 🤍
Идёт набор на Летние интенсивы:
✔️ 2 класс: Мягко закроем пробелы первого года. Подтянем технику чтения, усвоим первые 200 слов.
✔️ 3-4 класс: Наладим чтение и понимание. Разберем и автоматизируем грамматику настоящего времени.
✔️ 5-6 класс: Заложим прочный фундамент и повторим школьную программу перед сентябрем.
✔️ 7-9 класс: Разложим грамматику по полочка…
⚽️ Готовы к главному матчу лета? ⚽️
Лично я иду смотреть финал на большой экран в фантастический Парк Галицкого (ради этого парка, кстати, стоит приехать в Краснодар).
Ловите подборку хайповой лексики, чтобы понимать комментаторов и мемчики в оригинале:
⚽️ to score a goal (или to net a goal) – забить гол
⚽️ to keep a clean sheet – сыграть "на ноль" (раньше счёт вели в бумажном блокноте, и если вратарь не пропуска…
🎮 Обожаю приставки 🎮
Нет, я не геймер, и речь не про play stations 😁
У многих студентов задания на словообразование (Word Formation) вызывают нервный тик. 😰
А я, честно говоря, горячо люблю эту тему! Ибо за кажущимся хаосом можно проследить красивую логику. Английские приставки - это как конструктор LEGO. Зная базовые "детали", вы можете собрать из одного корня десятки новых слов, даже если никогда их раньше не ви…
🩷 Dream Vacation 🩷
Пару дней назад я вернулась из отпуска мечты. Шесть ночей и семь дней в горах (yes, I know, six-seven). Ниже - моя формула идеального отпуска.
Perfect vacation formula:
🤍 a wonderful group of like-minded people
- великолепная компания единомышленников
🤍 a seasoned professional guide
- опытный, квалифицированный гид
🤍 a hearty meal by the campfire
- сытный, полноценный ужин у костра
🤍 gorgeous…
Говорящие фамилии киногероев
Имена персонажей часто раскрывают их суть. Вот яркие примеры из зарубежного кино:
🐺 Lupin (Harry Potter)
От латинского "lupus" - волк. Ремус Люпин - оборотень, фамилия очень кстати!
😏 Voldemort (Harry Potter)
С французского "vol de mort" - "полёт смерти" или "кража смерти". Тот, кто бежит от смерти и сеет её вокруг..
🐝 Dumbledore (Harry Potter)
На староанглийском - "шмель". По задумке…
Showing the 12 most recent of 13 posts we hold for @FLAME_lang_Academy. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 13 most recent posts we hold, published 11 July 2026 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 10 October 2026 — this
entry's latest reading, not the date you are reading this.
“FLAME Academy 🔥 Английский язык” (@FLAME_lang_Academy), 1,050 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/FLAME_lang_Academy.
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.