Channel
@elizabeth_translator
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
154subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002417784865 |
|---|---|
| Type | Channel |
| Username | @elizabeth_translator |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/elizabeth_translator |
Literature — 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 25 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 18:57 | 154 | -2 |
| 30 Aug 2026, 18:53 | 156 | +2 |
| 24 Aug 2026, 11:38 | 154 | +1 |
| 8 Aug 2026, 19:16 | 153 | no change |
| 7 Aug 2026, 17:32 | 153 | first reading |
14 posts held, back to 29 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 14 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
64 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 20.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 20.3% | |
| 💔 | 12 | 18.8% | |
| 💘 | 9 | 14.1% | |
| 😁 | 7 | 10.9% | |
| 😱 | 7 | 10.9% | |
| 🥰 | 7 | 10.9% | |
| 🔥 | 5 | 7.81% | |
| 😭 | 2 | 3.13% | |
| ❤🔥 | 1 | 1.56% | |
| 🙏 | 1 | 1.56% |
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 13 of the 14 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 64 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 29 July 2026 to 8 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.
Отзыв на первый том "Утерянных воспоминаний" Дин Мо в моем переводе. После выделенной фразы мое сеееердце остановилось, мое сеееердце замерло... отдышалось немного и снова пошло 😄 Марина, большое спасибо за положительную оценку! Когда вижу позитивный отклик читателей, понимаю, что старалась не зря ☺️ #перевожу #китайскийязык
❤🔥1💘1🔥1
Пока жду свои авторские экземпляры, которые уже, кажется, движутся из Москвы в мою сторону, любуюсь третьим томом на фотографиях 😍 #перевожу #китайскийязык
Забрала 3-ий том новеллы «Императорский пион» Лю Ляньцзы от издательства Freedom Очень нравится эта история♥️ #ИмператорскийПион #КнижныеПокупки
❤4
Балуюсь немного, делаю магнитные закладки 😁 Черновые экземпляры, так сказать) Картинки когда-то заказывала у художницы по моим эскизам. Теперь нашла им применение)) #дорамы
❤3
Когда-нибудь люди поймут, что 100 страниц китайского текста не равны 100 страницам русского, и наступит светлое будущее. Но не сегодня... #нерецензирую
😱7💘2😁2😭2
Какая мне красота пришла от коллеги Надежды Яковлевой (花猫(>^ω^<) Цветы и кошки)! Такая прелесть! Это же надо было так всё подобрать — с котиками! Полный восторг! 🤩 И, конечно же, главный гвоздь программы — книга с дарственной надписью переводчицы ❤️ Теперь она будет жить на полочке рядом с автографами наших писателей Алексея Иванова, Игоря Евдокимова и Жени Гравис 😁
🥰4🔥2💘1
ПРОЧИТАННОЕ У меня уже почти год подписка Яндекс.Плюс, но я совершенно не пользуюсь Яндекс.Книгами. Просто забываю про них. Но тут ездила в отпуск и скачала несколько книг и комиксов. В итоге прочитала только два комикса. Аромат кофе Южного Аэропорта H. Chia, Ars Переводчик: Дарья Муравьева История про проблемного ребенка и добрых взрослых, не бросивших его, а поддержавших в стремлении к свету. Милая история, но н…
❤1
Что же было в посылке на 40 500? 1. Притворись, что любишь меня (манхва) Когда нет выбора, беру комиксы. А тут наконец-то не дворцовые и псевдо-европейские приключения, а история про простую корейскую девушку. 2. Академия магии Семь звезд Книга-квест с фэнтезийными приключениями. Шла бонусом к Злой книге, а я даже не заметила и удивилась, когда увидела ее в посылке) 3. У входа нет выхода 2-я книга из серии "Шныр" …
❤1💘1🔥1
Полтора месяца жду акт на рецензию. Уже появляются мысли, что очередной редактор уволился/перешел в другую редакцию. Это будет уже 6-й случай в моей практике 😑
💔5
Всегда приятно, когда упоминают переводчика и ценят наш труд 🤩 Спасибо, Екатерина! #перевожу #китайскийязык
❤4🥰3
Если кому нужны рецензенты на КОРЕЙСКИЕ книги, пишите. Я пока свободна ☺️
🙏1
Отправила рецензию, но оказалось, что книги из этой серии уже забрала себе другая редакция. Так что рецензия на вторую книгу отменяется. #рецензирую
💘2
Showing the 12 most recent of 14 posts we hold for @elizabeth_translator. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Перевожу, читаю. Переводчик Елизавета Трапезникова” (@elizabeth_translator), 154 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/elizabeth_translator.
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.