Film & TV — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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 the other topics.
Growth
28 measurements spanning 96 days, net +219. 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 5,509–5,822 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
10 Nov 2026, 17:39
5,782
-4
7 Nov 2026, 10:16
5,786
+19
4 Nov 2026, 13:59
5,767
+4
2 Nov 2026, 00:19
5,763
+1
30 Oct 2026, 00:15
5,762
+4
27 Oct 2026, 06:56
5,758
-1
24 Oct 2026, 11:40
5,759
-1
21 Oct 2026, 21:49
5,760
+2
18 Oct 2026, 16:28
5,758
-10
15 Oct 2026, 12:20
5,768
+2
12 Oct 2026, 09:40
5,766
+4
5 Oct 2026, 12:15
5,762
+13
27 Sept 2026, 09:19
5,749
+10
18 Sept 2026, 00:41
5,739
+22
13 Sept 2026, 18:01
5,717
+3
9 Sept 2026, 21:18
5,714
+8
4 Sept 2026, 21:39
5,706
+3
1 Sept 2026, 10:03
5,703
+14
29 Aug 2026, 15:34
5,689
+18
26 Aug 2026, 08:58
5,671
first reading
Engagement
46 posts held, back to 24 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
31.1%
avg views ÷ 5,782 subscribers
Avg views / post
1,800
14 posts measured
Reaction rate
2.15%
reactions ÷ views · ER floor
Posts in window
16
of 46 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
Window
Rolling 30 days · latest post in window 4 November 2026
Posts held
46 (24 July 2026 – 4 November 2026)
Views total
25,143
Reactions total
541
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 19:05 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.
What this channel posts
Video runtime
7m 36s
Average length
1m 31s
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.
Reaction mix
1,565 reactions across 44 posts, in 14 distinct kinds. The most used accounts for 56.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
882
56.4%
🔥
331
21.2%
🍾
170
10.9%
👍
69
4.41%
😢
29
1.85%
💯
28
1.79%
🎉
25
1.60%
🙏
7
0.447%
🤩
7
0.447%
👌
4
0.256%
😍
4
0.256%
🤗
4
0.256%
🫡
4
0.256%
🤔
1
0.064%
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 44 of the 46 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 1,565 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 24 July 2026 to 4 November 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.
Telegram Stars
Stars received
72
across the posts below
Posts paid on
6
of 44 we hold a reading for · 14%
Most on one post
35
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @oprus_dub. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 46 most recent posts we hold for this entry, published 24 July 2026 to 4 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 16 posts held from the last 30 days (37.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🩷🩷🩷🩷
Сбор на наш дубляж «Джоджо» уже стартовал!
Сейчас собрано 32 345р из 500 000р.
Доступ к просмотру будет только платным. Сейчас проходит период предоплаты, в котором вы можете оплатить доступ со скидкой. Предусмотрен VIP с самым ранним доступом!
Подробные условия здесь
Представляем вам актеров, которые дублировали персонажей в первой части «Невероятных приключений Джоджо»
Голосом Дарио Брандо стал Алексей Макрецкий, который известен нашим зрителям по ролям в One Piece. Алексей озвучивает: Брука, Манки Д. Гарпа и других персонажей!
Принять участие в сборе средств и сделать предоплату за доступ к просмотру, можно по ссылке: https://vk.ru/topic-99481008_68750124
Встречайте первый тизер нашего дубляжа «Невероятных приключений Джоджо»!
Это самое начало первой серии, где представлены персонажи Джордж и Дарио!
Сбор предоплаты на доступ официально считаем открытым! Предоплату можно внести в течение 1-2 месяцев. Ознакомиться с условиями можно в специальной теме: vk.ru/topic-99481008_68750124
В группе создана тема для оплаты 1-9 серий «Невероятных приключений Джоджо» в дубляже от ПРОЕКТА OPRUS. https://vk.ru/topic-99481008_68750124
Кроме того, подготовлены условия получения доступа. Система будет кардинально отличаться от системы сборов других наших проектов ввиду огромного бюджета. Вы можете с ними ознакомиться сейчас, однако вы вольны оплатить доступ после публикации тизеров с озвучкой.
В беседке наши…
И да, отдельно стоит отметить комментарии о вольности названия. Слово «phantom» в английском языке может употребляться в довольно широком списке наименований, но от случая к случаю его переводы могут отличаться, потому что, кроме словарного значения слова, важно учитывать и его контекстуальное значение для истории. Рассмотрим несколько примеров.
1. «Phantom Liberty» — уже упомянутый в обсуждении пример. Да, безуслов…
#записки_переводчика
Нас часто спрашивают: почему мы перевели название первой части «Джоджо» как «Дух крови»? Почему мы выбрали именно такое название?
Для начала разберём название.
«Phantom Blood». Если переводить в лоб — «Фантомная кровь», или, если более изящно, «Призрачная кровь». Ещё это в теории может быть «Кровь призрака» или «иллюзорная/мнимая кровь».
Но вопрос: что стоит за этим названием?
Араки подобрал…
Представляем вам постер с русским логотипом «Невероятных приключений Джоджо» для нашего дубляжа первой части.
В этом месяце мы откроем предоплату и сможем поделиться с вами подробностями. Обязательно подпишитесь на нашу рассылку, чтобы не пропустить старт сборов и новостей по этому проекту.
РАССЫЛКА
В данный момент мы прорабатываем систему оплаты за доступ. Бюджет первой части примерно 500 000р. включая все комисс…
Портгаса Д. Эйса в детстве озвучил Даниил Рагин, который ранее принял участие в озвучке «Наруто» на роли Сикамару.
Серии 459-474 уже доступны для просмотра. Условия получения доступа: https://vk.ru/topic-99481008_47425104
Полина Войченко стала новым голосом Коби.
Ранее его озвучивала Екатерина Гороховская, которая уехала жить в другую страну. К сожалению, для озвучки она не доступна.
Полина Войченко озвучила еще Шальрию, Сэнтомару в «One Piece» и Сакуру в озвучке «Наруто»
❤52🔥7
Showing the 12 most recent of 46 posts we hold for @oprus_dub. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
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.
Выберите ваши любимые арки, которые вы хотели бы увидеть с нашей озвучкой?
Маринфорд62%
Прошлое Эйса, Луффи и Сабо36%
Пост-Маринфорд31%
Возвращение на Архипелаг Сабанди37%
Остров Рыболюдей27%
Панк-Хазард34%
Дрессроза59%
The shares total 286%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 46 most recent posts we hold, published 24 July 2026 to 4 November 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.
Forward network
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Озвучка OPRUS — One Piece | Наруто” (@oprus_dub), 5,782 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/oprus_dub.
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.