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Channel

Олимпиады по английскому | мейнкурс

@olymp_eng

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

2,470subscribers

+22 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002003704413
TypeChannel
Username@olymp_eng
CreatedBetween 1 November 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/olymp_eng

Growth

2,4482,4702,4597 August 2026 — 2,448 subscribers7 August 2026 — 2,451 subscribers10 August 2026 — 2,456 subscribers13 August 2026 — 2,470 subscribers7 August 202613 August 2026
4 measurements spanning 5 days, net +22. 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 2,445–2,473 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:442,470+14
10 Aug 2026, 08:282,456+5
7 Aug 2026, 17:072,451+3
7 Aug 2026, 15:022,448first reading

Engagement

11 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.1%
avg views ÷ 2,470 subscribers
Avg views / post
473
11 posts measured
Reaction rate
4.34%
reactions ÷ views · ER floor
Posts in window
11
of 11 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. It is computed over the 10 of 11 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held11 (2 August 20267 August 2026)
Views total5,201
Reactions total203
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 15:02 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

203 reactions across 10 posts, in 15 distinct kinds. The most used accounts for 50.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10250.2%
🔥2411.8%
🍓188.87%
🙏125.91%
❤‍🔥115.42%
😁94.43%
💘83.94%
🤝41.97%
💅31.48%
🤯31.48%
👀20.985%
👍20.985%
💯20.985%
🤔20.985%
👨‍💻10.493%

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 10 of the 11 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 203reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 2 August 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, 13:05 UTC158 views4 reactionsread 7 August 2026

💛Квизлет / Карточки Уровень эффективности: Очень высокий Плюсы: Быстрый набор пассивного словарного запаса за короткое время. Минусы: Без контекста слова часто остаются «пассивными» и не всплывают в разговоре. 💛Встретить 7 раз» (Фоновое усвоение) Уровень эффективности: Средний Плюсы: Ноль насилия над собой, учишься на живом языке из сериалов и книг. Минусы: Очень медленно; чтобы встретить слово 7–10 раз, нужен

1❤‍🔥1🍓1👀1

7 Aug 2026, 12:44 UTC192 views38 reactionsread 7 August 2026

🧠 Как вы обычно учите новые слова в английском (и не только)? Ниже разберем несколько методов, что из этого реально работает, на наш взгляд, и почему! ⬇️ 🔥 — Квизлет / карточки; 🙏 — Рандом (не учу специально: надеюсь, что встречу слово в сериалах/текстах раз 7 и оно само запомнится); 💯 — Практика (сразу составляю 3–5 своих предложений с новым словом); 🧑‍💻 — ДЗ (прошу нейронку сделать упражнения с новыми словами

🔥16🙏12🤯3💯2🤔21👨‍💻1💘1

6 Aug 2026, 13:00 UTC362 views17 reactionsread 7 August 2026
Photo

💛«Лида, Лида!» и баскетбольный разнос: мои самые теплые воспоминания со Всеросса Курс стартовал сегодня, 1 августа Как начать? 👉 Бот: @meinkursbot 👉 Сайт: meinkurs.ru/engcourse 👉 Вопросы можно также здесь: @mk_support_mk

9❤‍🔥3💅3🍓2

5 Aug 2026, 18:00 UTC533 views13 reactionsread 7 August 2026

Большинство не хочет в МГУ... А куда тогда планируете поступать? Делитесь в комментариях 👇

13

5 Aug 2026, 17:44 UTC549 views10 reactionsread 7 August 2026

Posted without readable text

8❤‍🔥1🔥1

5 Aug 2026, 12:32 UTC500 views21 reactionsread 7 August 2026
Photo

Choose Your Fighter: Elite Private Schools Version

11🍓4🔥4❤‍🔥1💘1

4 Aug 2026, 13:32 UTC529 views44 reactionsread 7 August 2026
Photo

Photo, posted without a caption

27😁9🤝4🍓2💘2

3 Aug 2026, 18:38 UTC607 views22 reactionsread 7 August 2026

💛 бесплатный марафон по олимпиадному английскому стартовал сегодня начинаем 21 день регулярной подготовки. каждый день вас будет ждать одно небольшое задание будем тренировать грамматику и лексику, аудирование, страноведение, чтение и письмо ✨ большинство заданий можно проверить самостоятельно по ключам или через автопроверку. а каждую неделю Лиза Худякова будет проверять пять случайно выбранных письменных работ

17🔥3👍2

3 Aug 2026, 13:02 UTC657 views22 reactionsread 7 August 2026
Photo

🤩 Magazines to Profess Vocabulary and Reading (C1+) AI, science&technology, innovation, research: 1. Techlife News 2. American Scientist 3. BBC Science Focus 4. Discover Magazine Culture, travelling, nature, environment/ecology 1. National Geographic 2. Condé Nast Travel(l)er 3. Wanderlust 4. AFAR Art, culture, fashion 1. The Times (Culture) 2. Vogue UK 3. Tatler 4. Dazed (Ex. Dazed&Confused) Business, leadership

13❤‍🔥3🍓3💘3

2 Aug 2026, 13:01 UTC586 views12 reactionsread 7 August 2026
Photo

America's Presidential Dynasties

🍓62❤‍🔥2👀1💘1

Showing the 11 most recent of 11 posts we hold for @olymp_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 — 164,279 of 1,176,251entries 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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“Олимпиады по английскому | мейнкурс” (@olymp_eng), 2,470 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/olymp_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.