4 measurements spanning 15 days, net +7. 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 162–171 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 20:04
170
+5
15 Aug 2026, 10:55
165
+2
8 Aug 2026, 16:31
163
no change
7 Aug 2026, 18:25
163
first reading
Engagement
5 posts held, back to 7 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.
ERR · 30 days
20.9%
avg views ÷ 170 subscribers
Avg views / post
35.5
2 posts measured
Reaction rate
8.45%
reactions ÷ views · ER floor
Posts in window
2
of 5 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 5 August 2026
Posts held
5 (7 July 2026 – 5 August 2026)
Views total
71
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 16:31 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
30 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 63.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
19
63.3%
🔥
7
23.3%
❤🔥
3
10.0%
👍
1
3.33%
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 5 of the 5 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 7 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.
📚 Моя коллекция книг о кино пополнилась интересным экземпляром!
Это идеальное вводное пособие для студентов-киноведов. Наполненное визуальными примерами всех периодов истории кино вплоть до наших дней, издание «Кино: Критическое введение» иллюстрирует киноконцепции в контексте и детально рассматривает техники и терминологию кинопроизводства и критики, а также делает акцент на критическом и эффективном мышлении.
Опи…
#киноизнанка
Лучше поздно, чем никогда!🤩
11 июля 2026 года в камерном кинотеатре "ART LAIR" состоялся показ и разбор фильма "Дьявол носит Prada 2". Спикером выступила художница по костюмам Ксения Пендюк.
Ксения рассказала о сути профессии художника по костюмам, а самое главное – провела профессиональный разбор фильма, посвященного моде!
Также по традиции киноклуба разыграли подарочное издание – книгу-артбук "Мода…
Куда я пропал на полмесяца?
Со мной всё хорошо 😅 Я устроился менеджером по вещам на сериал (мелодрама «Тот, кого я предала») для телеканала «Домашний».
Работал с прекрасной художницей-постановщицей Яной Литвиновой. Мы многое прошли — и плохое, и хорошее. Но что нас не убивает, делает нас сильнее!
Я очень рад, что наконец-то принял участие в самой настоящей мелодраме: без погонь, оружия и стрельбы, которыми полны …
#киноизнанка
САНКТ-ПЕТЕРБУРГ
🤩Приглашаем тебя 11 июля в 18.00 на показ фильма "Дьявол носит Prada 2"!
Спикером киновечера выступит художник по костюмам Ксения Пендюк!
❓Поговорим о том, как образ героя влияет на восприятие сюжета фильма и почему костюм в кадре это не просто одежда.
🗓️ Когда: 11 июля 2026 в 18.00
📍 Где: ART LAIR Санкт-Петербург, Дивенская улица, дом 5 (ближайшее метро Горьковская)
💰 Стоимость: 12…
Спешим поздравить режиссера Екатерину Чижик и продюсера Марию Герасимову с получением гранта на съемку фильма!
Наш продюсерский центр выступит информационным партнером данного проекта и поможет с фестивальным продвижением!
Увлекательное драмеди "Как я стал взрослым" расскажет о том, как вчерашний студент Кирилл хотел последнее лето побыть свободным и поработать вожатым, а стал директором лагеря на 400 детей. Череда…
❤3🔥2
Showing the 5 most recent of 5 posts we hold for @kopyrinprod. 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.
Forward network
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.
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Заметки продюсера📝🎬” (@kopyrinprod), 170 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/kopyrinprod.
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.