4 measurements spanning 7 days, net +3. 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 2,632–2,635 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 12:36
2,635
+1
11 Aug 2026, 04:43
2,634
+2
7 Aug 2026, 19:03
2,632
no change
7 Aug 2026, 18:55
2,632
first reading
Engagement
8 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
50.2%
avg views ÷ 2,635 subscribers
Avg views / post
1,320
4 posts measured
Reaction rate
9.55%
reactions ÷ views · ER floor
Posts in window
4
of 8 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 29 July 2026
Posts held
8 (7 July 2026 – 29 July 2026)
Views total
5,290
Reactions total
505
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 19:03 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
40s
Average length
40s
Measured directly from 1 video 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
973 reactions across 8 posts, in 22 distinct kinds. The most used accounts for 60.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
586
60.2%
💔
89
9.15%
🔥
77
7.91%
❤🔥
48
4.93%
🕊
46
4.73%
🙏
33
3.39%
💘
18
1.85%
🌚
17
1.75%
🤩
13
1.34%
🥰
10
1.03%
👏
9
0.925%
😍
8
0.822%
⚡
4
0.411%
🏆
3
0.308%
💊
3
0.308%
🐳
2
0.206%
👍
2
0.206%
😁
1
0.103%
😭
1
0.103%
🙉
1
0.103%
2 further kinds
2
0.206%
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 8 of the 8 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 973reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 7 July 2026 to 29 July 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.
«При жизни мне думалось,что,умерев,я сразу познаю истину. Мне откроются двери в неведомое,запретное,я пойму,как устроен мир и в чем справедливость,которую никак не удавалось постичь,обладая физическим телом. Я увижу всех своих родственников до седьмого колена,укоренюсь в веках,оценю мотивы своих прошлых поступков и даже смогу что-то отмолить и исправить. На деле все оказалось не так.»
Это отрывок из книги,которую я …
На днях наконец-то исполнила свою давнюю мечту— посетила Дивеево.
Много рассказывать не стану. Все-таки это очень личный опыт. И делиться таким— только портить. У каждого там происходит что-то свое.
Трехчасовая воскресная утреня была вознаграждена вкуснейшими мини-просфорками с вином,а позже лучшими сырниками в трапезной. Бонусом ещё идет медовый аромат от благоухающих яблочных садов.
Именно в Дивеево блаженная Паша …
Один из любимых фильмов детства — «В джазе только девушки».
Был период,когда я пересмотрела все фильмы с Мэрилин. Папа для меня скупил на «Горбушке» все DVD-диски.
В «Зуде седьмого года» уже тогда запомнился момент,(не канонический— с решеткой метро),когда она включила Рахманинова и как-то особенно и с удовольствием произнесла фамилию композитора.
Но все же «В джазе» — фаворит.
И особенно вонзился в память навсегда э…
†
«Не зло победит зло, а только любовь»
Погрузилась в долгие раздумья в связи со 108-ой годовщиной расстрела царской семьи. Всегда с тяжелым сердцем встречаю эту дату.
Близкие знают моё отношение к последнему Императору и его семье. А я,в свою очередь,прекрасно знаю отношение большинства. Комментировать не хочется,ибо не хочется провоцировать в людях дурное.
Меж тем,в запретграме случился настоящий флешмоб. И физич…
Давеча состоялось закрытие международного кинофестиваля «Сделано женщинами».
Огромная благодарность основательницам за то,что доверили мне новую роль— быть в жюри. Ценный и интересный опыт.
Многие фильмы меня пронзили.
Но пока артхаус ебаный у меня на паузе побудет,пожалуй. 😒
О своих любимых ресторанах-современниках в Москве я вам поведала постом выше,пришло время поделиться любимым дореволюционным.
Сегодня с художником-постановщиком обсуждали будущие локации. И одна из них— ресторан «Стрельна» купцов Натрускиных. Это что-то за гранью фантастики. Хрустальный замок с пальмами и бассейном.
Внешне,если судить по старинным рисункам,ресторан напоминал гигантскую теплицу под огромной двускатной…
Маруся Фомина — актриса, режиссер и артистка МХТ им. Чехова — о своей Москве.
Про воспоминания о столице из детства, любимые заведения, куда нужно идти за лучшей пиццей, китайской едой и атмосферой, и предстоящие творческие проекты.
Подробнее — в карточках. #местамосквы. Дубль канала на случай блокировок
Не так давно состоялось закрытие 128 сезона в МХТ.
Могу бесконечно признаваться в любви этому месту и за всё ему благодарна.
Давеча вернулась из однодневной командировки в Нижний Новгород,где сейчас проходит кинофестиваль. В местной гостинице оказалась чудесная библиотека-магазин. Где я,конечно же,успешно зафиксировалась на какое-то время. Выбрала самую увесистую и красивую книгу. Пока ехала в «Ласточке» прочитала пр…
❤77🕊10🙏10🌚2💘1
Showing the 8 most recent of 8 posts we hold for @marussiamen. 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.
Mentions
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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“мᴀᴘʏсѣ” (@marussiamen), 2,635 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/marussiamen.
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.
