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Channel

Екатерина | C1-C2 Английский

@retunskaya_eng

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,355subscribers

-7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002470989622
TypeChannel
Username@retunskaya_eng
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/retunskaya_eng

Growth

2,3512,3622,356.56 August 2026 — 2,362 subscribers6 August 2026 — 2,362 subscribers6 August 2026 — 2,361 subscribers9 August 2026 — 2,351 subscribers12 August 2026 — 2,353 subscribers16 August 2026 — 2,355 subscribers2,3556 August 202616 August 2026
6 measurements spanning 10 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 2,349–2,364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 05:242,355+2
12 Aug 2026, 12:382,353+2
9 Aug 2026, 08:512,351-10
6 Aug 2026, 13:502,361-1
6 Aug 2026, 08:322,362no change
6 Aug 2026, 08:252,362first reading

Engagement

16 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
36.6%
avg views ÷ 2,355 subscribers
Avg views / post
861
16 posts measured
Reaction rate
5.89%
reactions ÷ views · ER floor
Posts in window
16
of 16 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held16 (24 July 20267 August 2026)
Views total13,773
Reactions total811
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:38 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.

Reaction mix

635 reactions across 13 posts, in 17 distinct kinds. The most used accounts for 28.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18028.3%
🥰12820.2%
🙏497.72%
🔥426.61%
🕊416.46%
😇365.67%
😁284.41%
💘274.25%
🍓243.78%
💯172.68%
😢142.20%
👏132.05%
❤‍🔥121.89%
😈101.57%
💋71.10%
😭60.945%
🗿10.157%

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 16 of the 16 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 811reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 24 July 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.

Recent posts

7 Aug 2026, 11:50 UTC300 views59 reactionsread 7 August 2026
Photo

На что мне кристаллически все равно, как ученику: 1) На дипломы Именно дипломы. Да, я захочу увидеть сертификат CPE, если иду учиться, но вот мне вообще все равно, закончили вы Гарвард или Хацапетовский государственный. Это никогда не гарантирует классную методику и интересный язык на курсе - но это я могу оценить сама. 2) На акцент Я отчетливо помню, как в олимпиадном центре лучшие преподаватели говорили с русс

🙏24😇1814🔥2💯1

5 Aug 2026, 17:25 UTC497 views77 reactionsread 7 August 2026
Photo

7 🥳 (пока с округлением)

🔥39😇1815💯5

4 Aug 2026, 17:35 UTC832 views59 reactionsread 7 August 2026
Photo

Я, когда веду индивы: каждому персональный план, учебники под запрос, каждую проблему разобрать подробно. Я, когда пришла на индивы к преподавателю: слушайте, in Use с начала до конца, и супер, куда платить? 👍 P.S. да, в группе и на индивах я разными вещами занимаюсь. Вот просто хочу закрыть гештальт с этой линейкой и Oxford Word Skills помимо всего прочего.

😁2817😈10🙏4

4 Aug 2026, 13:43 UTC825 views50 reactionsread 7 August 2026
Photo

C3 English про здоровье - часть 2 🤒 Листайте карусель 👉👉 Сохраняйте - и пусть этот вокабуляр понадобится вам только для обсуждения чужих болячек. 😇 P.S. Чай сделал мой Боря 🍵

30❤‍🔥12🥰8

2 Aug 2026, 07:19 UTC944 views47 reactionsread 7 August 2026

Дорогие мои, все сообщения вижу и в тг и в ВК, плохо себя чувствую - и сейчас главное провести уроки на сегодня 🙏🏻 Поэтому обязательно отвечу вечером после них из кровати 😅💛 специально не читаю, чтобы не пропустить никого

🙏20😢146😭6🕊1

31 Jul 2026, 10:22 UTC≈1,060 views59 reactionsread 7 August 2026
Photo

К какому преподавателю в группу я НЕ пойду? Пост не для того, чтобы развести бойню в комментариях, просто я прошла достаточно обучений, чтобы сформировать свои требования) Идеальных обучений советовать не буду, так как таковых не нашла (и сама на пъедестал себя тут возводить не собираюсь, по крайней мере в этом посте) Погнали 👇 1) Мне никак не облегчают жизнь Я очень занята, вот честно, у меня буквально нет врем

🕊23💘14🍓128👏1🗿1

29 Jul 2026, 18:39 UTC≈1,120 views49 reactionsread 7 August 2026

Я плачу, в общем 🥹

🥰30💯11💋71

29 Jul 2026, 18:39 UTC≈1,150 views44 reactionsread 7 August 2026

Привет! Давно хотела написать, но руки не доходили. Невероятно рада, что решила заниматься у тебя!!! Впервые вижу, чтобы была такая структура (обычно её вообще нет) и система повторения слов. Да, не всё запоминается, но большая часть остаётся в памяти, а главное — проскакивает в речи (я рыбка Дори, которая забывает все слова уже через секунду после прочтения). Мне стало намного легче говорить (спасибо ребятам, которы

29🥰15

29 Jul 2026, 18:38 UTC≈1,010 views26 reactionsread 7 August 2026

Катя, спасибо большое за урок))) Супервайб, суперпреподаватель)))

16🥰10

29 Jul 2026, 18:38 UTC985 views30 reactionsread 7 August 2026

Екатерина, спасибо вам большое за ваш труд и за такую объемную домашку!!! Я уже представляю, как классно прокачается язык к концу курса 🤍

18🥰12

29 Jul 2026, 17:19 UTC≈1,000 views47 reactionsread 7 August 2026

Ой, ребятки, мне тут трое человек такое про мои занятия сказали... Ждите))

24💘13🕊9🙏1

Showing the 12 most recent of 16 posts we hold for @retunskaya_eng. 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.

Citation-graph rank

Citation-graph rank — 569,494 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Екатерина | C1-C2 Английский” (@retunskaya_eng), 2,355 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/retunskaya_eng.

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.