info⬆️
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Channel
@english_sovetskaya
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
105subscribers
+2 since we began measuring on 27 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002928777094 |
|---|---|
| Type | Channel |
| Username | @english_sovetskaya |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 September 2026 |
| On Telegram | t.me/english_sovetskaya |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Sept 2026, 21:37 | 105 | +4 |
| 4 Sept 2026, 23:37 | 101 | -1 |
| 27 Aug 2026, 14:41 | 102 | -1 |
| 27 Aug 2026, 02:30 | 103 | no change |
| 27 Aug 2026, 02:15 | 103 | first reading |
16 posts held, back to 9 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 16 posts for this entry, the most recent from 17 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 5 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.
86 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 53.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 46 | 53.5% | |
| 🔥 | 16 | 18.6% | |
| 🥰 | 9 | 10.5% | |
| ❤🔥 | 6 | 6.98% | |
| 🤩 | 6 | 6.98% | |
| 🎉 | 2 | 2.33% | |
| 😍 | 1 | 1.16% |
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 86 reactions 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 9 July 2026 to 17 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.
info⬆️
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🍂🍪☕️🧸🤎 September уже совсем скоро, успели записаться на занятия ?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
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смотрим отрывок из фильма Mona Lisa Smile #фильмы
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почитаем про Ernest Hemingway и сделаем мини тест(ответы в коммах)
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Фраза «delves into» — означает «глубоко погружается в», «тщательно исследует», «вникает в детали» (прошлое, биографию, тёмные стороны). пример: —To understand why this Baroque master sent a self-portrait of his own execution, the video delves into the violent events of his life… —Чтобы понять, почему этот мастер барокко отправил автопортрет собственной казни, видео глубоко погружается в жестокие события его жизни.. …
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А что, если подготовка к олимпиаде будет напоминать путешествие? 🇬🇧 Вместо чемодана — любопытство. Вместо билетов — подключение к онлайн-программе. А пункт назначения — Великобритания, её история, культура и язык. С 7 по 12 августа проходит онлайн-программа «Взлёта» по английскому языку от тренеров сборной Московской области Дмитрия Драгайцева и Ирины Костюкович. В программе: ✨ история и культура Великобритании; ✨…
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запоминаем фразовый глагол GO OFF У этого глагола здесь два значения. ① Уйти, отправиться куда-либо 💡 OFF = прочь. Был здесь → ушёл прочь → отправился куда-то. She went off to the library. → Она отправилась в библиотеку. ② Испортиться — о еде 💡 Еда уже не в нормальном состоянии → испортилась. The fish has gone off. → Рыба испортилась. The milk has gone off. → Молоко испортилось. Запоминаем: go off somewher…
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отрывок из фильма “The words” зацепилась за фразу: «It’s cold in my head, pain». Так вот, у этого есть своё слово — brain freeze. Знакомое чувство, когда слишком быстро съел/а мороженое или выпил/а холодный напиток, и в голове — резкая вспышка боли. Именно она. · I got brain freeze from the milkshake. — У меня была brain freeze от молочного коктейля. · Slow down, or you'll get brain freeze. — Помедленнее, а то сх…
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hieroglyphics («иероглифика» или «иероглифическое письмо»). Не путать с hieroglyphs — это сами знаки. А hieroglyphics — это целая система письма. Как в Древнем Египте. · ancient hieroglyphics — древняя система письма · decipher hieroglyphics — расшифровать иероглифику · the Rosetta Stone helped us understand hieroglyphics — Розеттский камень помог нам понять иероглифику By the way, слово происходит от греческого h…
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Узнала слово — и оно повсюду встречается. Мой current victim — adjacent («смежный» или «соседний»). · adjacent room — соседняя комната · adjacent angle — смежный угол (в геометрии) · adjacent to the park — прилегающий к парку #vocabulary
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отрывок сериала “High Potential” Фраза «easy peasy lemon squeezy» означает «проще простого», «раз плюнуть» или «легче лёгкого». #фильмы
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goosebumps (дословно гусиная кожа) - мурашки по коже пример: — Every time she sings that high note, I get goosebumps. — Каждый раз, когда она берёт ту высокую ноту, у меня мурашки. #vocabulary
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Showing the 12 most recent of 16 posts we hold for @english_sovetskaya. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
🍂🍪☕️🧸🤎 September уже совсем скоро, успели записаться на занятия ?
Shares as published. 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 16 most recent posts we hold, published 9 July 2026 to 17 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 12 September 2026 — this entry's latest reading, not the date you are reading this.
“Eng_Light” (@english_sovetskaya), 105 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/english_sovetskaya.
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.