Channel
@cinetrans
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
507subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002556927830 |
|---|---|
| Type | Channel |
| Username | @cinetrans |
| Description | Алина, аудиовизуальный переводчик и редактор, полиглот, преподаватель. Рабочие языки — EN, IT, FR, ES, TR. Вещаю о тонкостях локализации кино, закадре, субтитрах и нейросетях в сфере перевода. И о собаконьке. Задать вопрос можно в личку канала. |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/cinetrans |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 18:34 | 507 | no change |
| 6 Aug 2026, 14:22 | 507 | first reading |
20 posts held, back to 8 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 20 (8 July 2026 – 5 August 2026) |
| Views total | 4,430 |
| Reactions total | 391 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 18:34 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.
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
514 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 39.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 205 | 39.9% | |
| custom 5318860161899574392 | 107 | 20.8% | |
| 😁 | 69 | 13.4% | |
| 🥰 | 28 | 5.45% | |
| 🔥 | 27 | 5.25% | |
| 💯 | 20 | 3.89% | |
| 👍 | 14 | 2.72% | |
| 🤯 | 12 | 2.33% | |
| ✍ | 10 | 1.95% | |
| 😱 | 10 | 1.95% | |
| 👀 | 6 | 1.17% | |
| 😢 | 6 | 1.17% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 20 of the 20 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 514reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 July 2026 to 5 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.
Это Тыква Алиновна со своей сестрой. Оказалось, что в дополнение к одинаковым носам у них совершенно одинаковые повадки. Мы не придумали, как назвать это рыжее ОПГ, стращавшее всех псов, встречавшихся по пути. Но сделать удачный кадр получилось.
🥰28custom 531886016189957439215❤5🔥1
Мрачная подборка для тёмных летних вечеров 🪦 Хотела написать вам пост ещё вчера, но неожиданно слегла — отравление было настолько острым, что я уже думала заканчивать отпуск в инфекционном стационаре, но вроде как обошлось. Сегодня температуры уже нет, а о случившемся напоминает только мерзкая диета, согласно которой наслаждаться благами южного рынка и кондитерских мне пока нельзя. Поэтому я планирую грустно пройти …
custom 531886016189957439210
Детективное летнее чтиво 🔍 Продолжаю свой ленивый марафон рекомендаций книжек, которые успела прослушать до отпуска — в отпуске у меня по-прежнему получается только гулять, спать и есть пирожные в промышленных масштабах (боюсь, меня потом в салон самолёта не пустят, потребуют регистрироваться как габаритный багаж). 🤩 Пьерджорджо Пулижи — жемчужинка из итальянского Кальяри очень меня порадовала зародившейся серией о…
❤8custom 53188601618995743925
Ну что же, я добралась до отпускных мероприятий, и мы с Тыквой даже не застряли в аэропорту на полжизни. Вчера посвятили день безудержному спанью и прогулкам (нашагали аж 27,5 тысяч шагов). Четырежды вымокли под проливным дождём и сходили на занятие по ноузворку. Удивительное дело — собака не смутилась и не испугалась. Новый зал? Ладно, это же выездное занятие, мы ж на самолёте до него летели! Новый кинолог? Ну допу…
❤16✍6
Приснится же такое. Перевожу под закадр, делаю пометку, что надо проверить реплику при укладке. Дохожу до второй такой же реплики, решаю проверить первую. Листаю скрипт — а её нет. И персонажа такого нет. Зато появляются какие-то сцены, которых я не помню, причём с таким содержанием, что мне лист спорного контента заполнять примерно полгода. Я листаю и листаю 18 страниц скрипта, нахожу нужную реплику, но понимаю, …
😁13custom 531886016189957439212
Posted without readable text
❤21🔥7
Это Тыква Алиновна пасётся в пампасах у дома, желает всем самого доброго утра и прекрасных выходных и смутно догадывается, что сегодня её ждёт грумер. Потому что в отпуск надо ехать красивой!
❤27custom 531886016189957439213
Впервые в жизни вижу тестовое задание, в котором собственно задание состоит из одной строчки: "Нам нужен адекватный перевод приложенных видео. Именно видео, а не текста". Раньше ведь как было: 🤩пять листов с описаниями того, как ставить паузы/дыхи/курсивы 🤩напоминание про важность простановки ударений с пунктом «см. приложение А "Неудачные примеры"» 🤩двухтомник о различиях между Джейми и Хайме, Чарльзом и Карлом, Лю…
😁29❤10custom 53188601618995743923
В американских документалках до зубовного скрежета бесят умные дяденьки, которые: 😠 делают паузы чуть ли не после каждого слова, включая предлоги. ...we / created / nine / copies // of // the same universe. 💣 повторяют одно и то же без каких-то дополнительных смыслов. ...there must be a different explanation, you know, some different explanations of... 😠 тянут одно тупое вводное предложение (so... it was one o…
😁17
Моё редакторское лицо, когда в эпизоде про убийство царской семьи несколько раз неправильно называют фамилию погибшей горничной, императрицу называют Алисой Фёдоровной, а коммунист, который ходит гордый и довольный тем, что помыкает самим царём, периодически внезапно выдаёт "Идите с богом" и "Не дай бог!": 😡 Ну почему?! Почему даже с такой темой наши горе-кинотворцы поработать не могли по-человечески? 😠 Ошибки же на…
🤯12😱10custom 53188601618995743924😁3
В выходные поймала какой-то переводческий дзен. Изначально планировалась поездка за город в целях сбора черники на варенье и купания красного коня Тыквы Алиновны в озере. Но в субботу было слишком жарко, а вчера уже некогда. Поэтому мы чиллили дома в одеяле под кондиционером. Кое-кто кверху пузом, а я — с ноутбуком, переводя кино. И получилось прямо идеально. Устал переводить — поспал. Проснулся — собака хвостиком в…
❤23
Заметила интересную фишку в переводе процедуралов. Не всегда удобно оставлять безликие обозначения вроде "убийца" и "жертва" — иногда это начинает путать зрителя. Например, если убийца сначала сам оказался жертвой, а потом стал мстить налево-направо. Чтобы не сломаться об эти перипетии, естественно, используешь имена. И как-то совершенно незаметно получилось, что я перенесла чисто русское восприятие на французский с…
❤19😁7
Showing the 12 most recent of 20 posts we hold for @cinetrans. 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.
Для вас перевод — это больше
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 20 most recent posts we hold, published 8 July 2026 to 5 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.
Citation-graph rank — 308,728 of 1,151,006entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Кинотранс” (@cinetrans), 507 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/cinetrans.
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.