2 measurements taken within a single day. 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 787–789 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 15:33
788
no change
6 Aug 2026, 12:04
788
first reading
Engagement
14 posts held, back to 13 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 · 30 days
292.8%
avg views ÷ 788 subscribers
Avg views / post
2,310
11 posts measured
Reaction rate
4.61%
reactions ÷ views · ER floor
Posts in window
12
of 14 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
14 (13 July 2026 – 5 August 2026)
Views total
25,381
Reactions total
1,170
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 15:33 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
Photos
454
Videos
28
Links
175
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.
Reaction mix
1,278 reactions across 13 posts, in 20 distinct kinds. The most used accounts for 21.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
277
21.7%
😭
261
20.4%
❤🔥
182
14.2%
🔥
126
9.86%
🙏
105
8.22%
💔
97
7.59%
😱
72
5.63%
🕊
37
2.90%
💘
32
2.50%
😢
19
1.49%
😁
15
1.17%
🥰
14
1.10%
🎉
12
0.939%
⚡
7
0.548%
👎
6
0.469%
😍
5
0.391%
👍
4
0.313%
👏
4
0.313%
🗿
2
0.156%
👻
1
0.078%
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 1,278reactions 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 13 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @weproduce. 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 14 most recent posts we hold for this entry, published 13 July 2026 to 5 August 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.
🧳 Сегодня мы хотим рассказать вам об очень важных (хотя и молчаливых) героях нашего мюзикла "Идиот" по роману Ф.М. Достоевского. В программке они обозначены как "Русская Тройка". Так кто же они?
🧳 Рассказывает генеральный продюсер Михаил Климанов:
- Это полностью оригинальные персонажи, придуманные Василием Заржецким для нашей постановки. Их не было ни в либретто Евгения Фридмана ни в питерской "концертной версии".…
❤️ "Мы" бесконечно благодарны нашим зрителям! Именно благодаря вам наш мюзикл по роману Достоевского "Идиот" - в лонг-листе премии "Звезда Театрала"!
🧳 Номинирован как сам спектакль - так и исполнитель главной роли Ярослав Баярунас!
👉 Проголосовать и вывести наш спектакль и нашего князя Мышкина в шорт-лист можно до конца августа здесь: https://www.teatral-online.ru/star/longlist/
Категория: Музыкальный спектакль
…
Внимание! Епископ Кошон предупреждает: Скидка на спектакли «Идиот» и «Жанна д'Арк» скоро СГОРИТ! Но никогда не поздно ЗАПРЫГНУТЬ В ПОСЛЕДНИЙ ВАГОН, как рекомендует Фердыщенко.
6 сентября Евгений Градусов сыграет того, кто отправил Жанну д’Арк на костёр.
А 10 сентября перевоплотится в героя мюзикла по роману Достоевского «Идиот». За роль Фердыщенко Евгений Градусов номинирован на премию «Музыкальное сердце театра» ка…
Почему всё такое КРАСИВОЕ? — недоумевает господин Тоцкий.
Потому что до конца завтрашнего дня действует кросс-промо мюзикла по роману Достоевского «Идиот» и рок-оперы «Жанна д'Арк». Если купить билет на один из спектаклей — вы получите промокод на билет на второй.
Это ПРЕДАТЕЛЬСКИ нелогично — не воспользоваться такой возможностью. Уж поверьте маршалу Тэлботу.
6 и 10 сентября Михаил Сидоренко воплотит для вас разны…
…Он считал себя королём Карлом VII, но его вылечили, и он приехал в Петербург…
Мы хотим напомнить, что между сентябрьскими показами рок-оперы «Жанна д'Арк» и мюзикла по роману Достоевского «Идиот» — всего 4 дня. И это отличная возможность увидеть Ярослава Баярунаса в образах совершенно противоположных героев:
6 сентября – инфантильный и капризный Карл. 10 сентября – светлый и возвышенный князь Мышкин. Кстати, за ис…
Дорогие зрители! Мы приняли решение не отменять показ мюзикла "Идиот" 10 сентября. Мы поняли, что обязаны сыграть спектакль в память о нашем режиссёре Василии Заржецком.
"Идиот" - это полностью его замысел - от самой идеи превратить роман Достоевского в мюзикл - и до создания сценического воплощения.
10 сентября в КЦ "Москвич" мы будем играть спектакль для вас - чтобы память о Василии Заржецком и его замечательной …
С разрешения родных Василия сообщаем информацию и месте и времени прощания.
Отпевание и похороны состоятся по адресу: Московская область, г. Ногинск, Мамонтовское сельское поселение, Ново-Сергиево, церковь, кладбище.
Завтра, 26.07.26 в 12:00.
Сегодня утром не стало нашего режиссёра и друга Василия Заржецкого.
Инсульт, реанимация. Не спасли.
Вся наша команда скорбит об этой внезапной и трагической утрате.
Соболезнуем родным и близким Василия.
О дате и месте прощания сообщим дополнительно.
⚜️🧳 «Мы» — «Легенда»! 🧳⚜️
Театр фехтования «Легенда» и продюсерский центр «Мы» объединились!
Правда, всего на 12 дней.
Зачем? Чтобы дать вам возможность посмотреть оба спектакля на уникальных условиях. Ведь между сентябрьскими показами рок-оперы «Жанна д'Арк» и мюзикла по роману Достоевского «Идиот» всего 4 дня. И это — удивительная возможность увидеть любимых артистов в совершенно разных образах, подчас диаметраль…
🧳🧳🧳 Всех с пятницей! И пока вы не собрали свои 🧳🧳🧳 чемоданы на дачу - предлагаем посмотреть ещё одну сцену из нашего спектакля.
🧳 Ария Гани Иволнина - невероятно драматичный рассказ о проблемах. мечтах и мировоззрении этого героя. Гане можно посочувствовать, его можно возненавидеть. И задуматься - а кто же он на самом деле - "подлец" или "обыкновенный человек"?
❤️ На показе 10 сентября эту роль, как и на видео, исп…
💥 Вчера мы поделились с вами радостной новостью о том, что наша постановка получила 6 номинаций на премию "Музыкальное сердце театра". В том числе номинированы были четверо наших артистов - Ярослав Баярунас (Мышкин), Виктория Жукова (Настасья Филипповна), Андрей Школдыченко (Рогожин) и Евгений Градусов (Фердыщенко).
🧳 Но номинационный список принёс ещё один сюрприз. Исполнительница роли Аглаи - Евдокия Малевская выд…
❤19🔥13❤🔥7🥰3🙏1
Showing the 12 most recent of 14 posts we hold for @weproduce. 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.
Citation-graph rank
Citation-graph rank — 13,508 of 1,183,361entries 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.
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.
Mentions
Named by 3 registered channels — 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.
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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“"Мы", театральный продюсерский центр” (@weproduce), 788 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/weproduce.
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.
