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 12 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
14 measurements spanning 41 days, net +2,832. 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 2,780–6,524 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 15:21
6,059
-15
13 Sept 2026, 12:57
6,074
-18
10 Sept 2026, 02:16
6,092
+138
4 Sept 2026, 19:22
5,954
+23
1 Sept 2026, 00:08
5,931
+76
28 Aug 2026, 23:25
5,855
+287
26 Aug 2026, 06:13
5,568
+183
23 Aug 2026, 14:37
5,385
+677
20 Aug 2026, 09:53
4,708
+477
17 Aug 2026, 18:54
4,231
-14
15 Aug 2026, 01:03
4,245
+1
12 Aug 2026, 00:16
4,244
+1,032
8 Aug 2026, 20:59
3,212
-15
7 Aug 2026, 21:03
3,227
first reading
Engagement
9 posts held, back to 12 April 2024 — 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 9 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,479 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 77.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
1,144
77.3%
❤
274
18.5%
👍
61
4.12%
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 8 of the 9 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 1,479 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 12 April 2024 to 6 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.
‼️Недавно мы повторили 200 прилагательных (антонимы) на моем ютуб канале 🙂 теперь пришло время КАРТОЧЕК! В карточки (№45) внесены самые нужные и сложные прилагательные из урока в контекте.
Некоторые полезные фразы на базе урока! 🌹
❯ a confident person — уверенный человек
❯ a reliable friend — надёжный друг
❯ a hardworking student — трудолюбивый ученик
❯ a selfish child — эгоистичный ребёнок
❯ a generous person — ще…
Карточки месяца 🎯 №38!
🎉НАЧАЛО АВГУСТА😼
✔️97 фраз для среднего уровня из фильмов (мини-курс СинемаЛЭБ)
✔️учимся использовать реальные выражения для среднего уровня и выше
Practice makes progress.
Практика ведет к прогрессу.
⭐️ Открыть все карточки и тесты
(!) Добавлены карточки (набор №44 всех фраз из сборника по фильмам "сверхи")
📽Мы выучили более 130 терминов, вот некоторые из них:
▪️ I can't come up with an idea. — Я не могу ничего придумать.
▪️ I have a soft spot for dogs. — Я питаю слабость к собакам.
▪️ My boss has it in for me. — Мой начальник имеет на меня зуб.
▪️ Come on, pony up! — Давай, раскошеливайся!
▪️ Don't knock it till you try it. — Не критикуй, по…
❗️Был добавлен модуль №41 в карточки! Продолжаем учиться с удовольствием даже летом! 🏖️ Keep learning! А помнишь такие слова как persist in или acknowledge! Проверим?
❤️✓ 1) ШКАТУЛОЧКА ЗНАНИЙ ▶
✓ 2) ВСЕ КАРТОЧКИ И ТЕСТЫ ▶
3) Подписка "Английский за 5 минут" ▶
✓ 4) PDF КНИГИ СКАЧАТЬ
✓ 5) Английский по фильмам "СинемаЛэб"
_______________________
🍎МОЙ САЙТ ❧ https://fast-languages.com/english
Showing the 9 most recent of 9 posts we hold for @engKF8. 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“🇺🇸 Английский язык 🍎KF • Кристина Франц❦” (@engKF8), 6,059 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/engKF8.
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.