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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
30 measurements spanning 43 days, net -50. 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 11,381–11,453 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:39
11,395
-1
15 Sept 2026, 22:01
11,396
+6
14 Sept 2026, 06:00
11,390
-5
12 Sept 2026, 12:18
11,395
-7
10 Sept 2026, 06:39
11,402
-1
6 Sept 2026, 22:38
11,403
+14
4 Sept 2026, 11:17
11,389
-6
1 Sept 2026, 23:39
11,395
+1
31 Aug 2026, 20:06
11,394
-10
30 Aug 2026, 19:04
11,404
-3
29 Aug 2026, 18:06
11,407
+3
28 Aug 2026, 20:45
11,404
-4
27 Aug 2026, 22:04
11,408
+1
26 Aug 2026, 23:14
11,407
-5
25 Aug 2026, 01:38
11,412
-4
23 Aug 2026, 12:12
11,416
+3
22 Aug 2026, 01:28
11,413
-6
20 Aug 2026, 22:04
11,419
-8
18 Aug 2026, 18:12
11,427
-4
17 Aug 2026, 20:06
11,431
first reading
Engagement
30 posts held, back to 21 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.92%
avg views ÷ 11,395 subscribers
Avg views / post
561
4 posts measured
Reaction rate
3.25%
reactions ÷ views · ER floor
Posts in window
4
of 30 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
30 (21 July 2026 – 2 September 2026)
Views total
2,243
Reactions total
73
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:05 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
8m 31s
Average length
43s
Measured directly from 12 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
567 reactions across 27 posts, in 8 distinct kinds. The most used accounts for 42.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
242
42.7%
👍
153
27.0%
🔥
111
19.6%
🤣
40
7.05%
💯
13
2.29%
❤🔥
4
0.705%
👌
3
0.529%
👏
1
0.176%
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 27 of the 30 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 567 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 21 July 2026 to 2 September 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.
Зову вас на Филиппины!😎
Это видео с нашего прошлого тура на Шри-Ланку! Посмотрите, какая атмосфера у наших путешествий: море, солнце, приключения, смех и та самая компания, с которой хочется проживать яркие моменты снова и снова ❤️
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🎄 Представьте: 31 декабря.
Вместо серого зимнего вечера, пробок, готовки и устал…
Наша праздничная распродажа курсов английского языка выходит на финишную прямую!😎
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Возвратные местоимения
🔹 Myself – я сам
I did it myself. – Я сделал это сам.
🔹 Yourself – ты сам
Do it yourself. – Сделай это сам.
🔹 Himself – он сам
He fixed it himself. – Он сам это починил.
🔹 Herself – она сама
She made it herself. – Она сама это сделала.
🔹 Ourselves – мы сами
We did it ourselves. – Мы сами это сделали.
🔹 Yourselves – вы сами
You can do it yourselves. – Вы можете сделать это сами.
🔹 Themsel…
🎉 Праздничная акция в честь моего дня рождения близится к финалу!
Сейчас вы ещё можете присоединиться к скоростному обучению английскому языку по специальной цене и получить подарки 🎁
В подарок:
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🪶 Цитата на английском с переводом.
✨ «My father always said: “Never trust anyone whose TV is bigger than their book shelf.” So I make sure I read.»
💬 «Мой отец всегда говорил: “Никогда не доверяй людям, у которых телевизор больше книжной полки”. Поэтому я и читаю.»
— Эмилия Кларк
🎉 В честь моего Дня рождения я подготовила для вас особенное предложение!
Только в рамках праздничной акции вы можете присоединиться к скоростному обучению английскому со специальной скидкой и получить ценные подарки 🎁
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Что входит в предложение?
🎁 Банк ассоциаций более 1350 слов с методикой для запоминания – вы выучите их быстро и легко.
🎁 Доступ к VIP-клубу с дополнительными м…
📚 Временные маркеры, которые сделают ваш английский естественнее.
В английском языке есть слова и выражения, которые помогают понять, когда происходит действие. Их называют временными маркерами. Они не только делают речь более естественной, но и часто подсказывают, какое время использовать.
Например:
🔹 Once in a while – время от времени
We go to the cinema once in a while. – Мы время от времени ходим в кино.
🔹 Al…
❤20👍9🔥4
Showing the 12 most recent of 30 posts we hold for @english_rusakova. 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.
Posts edited after publishing
@english_rusakova edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
27 August 2026
Most recent edit
27 August 2026
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Изучаем английский онлайн @learn_repeat_check · 29,999 Telegram ranks this channel #19 of 68 here — alongside 67 others — read 7 September 2026
КЛУБ | ENGLISH GALAXY | АНГЛИЙСКИЙ ЯЗЫК ПО ПЛЕЙЛИСТАМ @englishgalaxy_school · 76,241 Telegram ranks this channel #30 of 83 here — alongside 82 others — read 19 August 2026
Рецепты 🍲 | Консервация 🥫 | Выпечка 🥐 | @recepty_i · 36,980 Telegram ranks this channel #58 of 80 here — alongside 79 others — read 1 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ускоренный английский с Мариной Русаковой” (@english_rusakova), 11,395 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/english_rusakova.
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.