28 measurements spanning 31 days, net -33. 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 22,496–22,555 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
6 Sept 2026, 07:56
22,505
+2
3 Sept 2026, 23:40
22,503
-4
2 Sept 2026, 13:13
22,507
+1
31 Aug 2026, 14:24
22,506
-5
30 Aug 2026, 16:13
22,511
-4
29 Aug 2026, 16:37
22,515
-5
28 Aug 2026, 16:32
22,520
-5
27 Aug 2026, 17:34
22,525
+4
26 Aug 2026, 21:02
22,521
+1
26 Aug 2026, 00:15
22,520
-6
25 Aug 2026, 02:33
22,526
-13
23 Aug 2026, 15:45
22,539
+5
22 Aug 2026, 01:45
22,534
-5
20 Aug 2026, 16:22
22,539
-2
19 Aug 2026, 14:27
22,541
+2
17 Aug 2026, 18:27
22,539
+1
16 Aug 2026, 17:54
22,538
+6
15 Aug 2026, 06:15
22,532
+3
14 Aug 2026, 01:45
22,529
-4
12 Aug 2026, 23:03
22,533
first reading
Engagement
58 posts held, back to 28 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.81%
avg views ÷ 22,505 subscribers
Avg views / post
1,980
40 posts measured
Reaction rate
2.26%
reactions ÷ views · ER floor
Posts in window
40
of 58 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 3 September 2026
Posts held
58 (28 July 2026 – 3 September 2026)
Views total
79,280
Reactions total
1,788
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 12:11 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
6m 09s
Average length
53s
Measured directly from 7 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
2,425 reactions across 53 posts, in 7 distinct kinds. The most used accounts for 51.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,255
51.8%
🔥
403
16.6%
👍
293
12.1%
👏
286
11.8%
😍
183
7.55%
💔
3
0.124%
👎
2
0.082%
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 58 of the 58 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 2,665 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 28 July 2026 to 3 September 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.
Костры рябин 🔥
Эту работу Игорь Грабарь считал лучшей из серии этюдов, написанных в деревне Жилино под Москвой. Сюда художник приехал отдохнуть в 1924 года после напряженной работы над Выставкой русского искусства в Нью-Йорке.
Работа написана в поздний период творчества мастера: после долгого перерыва Грабарь вновь вернулся к внимательному наблюдению за природой и стремился передать живое ощущение света и воздуха.
…
Лекции музея в сентябре 🍁
Поговорим о смелых экспериментах в женском костюме в начале XX века, частных художественных школах и забытых живописцах начала прошлого столетия.
По билету на лекцию также можно увидеть выставки «Школа Званцевой. Лаборатория модернизма» и «Хрупкие причуды: от кондитерской к музею».
«Реформа платья. Как женщины освободились от корсета»
🗓 3 сентября в 19:00
👤 Лектор: Марьяна Скуратовская
…
Почему стоит посетить Ростов Великий в сентябре? 🍂
Одна из причин — последние недели работы выставки «Митрополичье варенье». Это наш совместный проект с Государственным музеем-заповедником «Ростовский кремль».
Точкой притяжения стал средневековый Митрополичий сад, вокруг которого объединилось русское искусство рубежа XIX–XX веков.
Больше о выставке и ее экспонатах — в материале «RUSSPASS Журнал».
📖 Читать
Книги музея на Московской международной книжной ярмарке 📖
Со 2 по 6 сентября ищите наши издания и сувениры на стенде В21 в Гостином дворе.
Привезем каталоги выставок «Школа Званцевой. Лаборатория модернизма», «Под маской», «Свой человек. Владимир Гиляровский» и других проектов музея, а также футболки, броши, открытки и многое другое.
🗓 5 сентября в 13:00 на площадке 9 «Чтение. Познание» презентуем каталог выставки…
Весь сентябрь рисуем осенние пейзажи на свежем воздухе 🍃
Завершаем наш Фестиваль пленэров в парке «Ходынское поле». До конца сентября сюда переедет наш арт-павильон, посвященный русскому импрессионизму, а по средам и субботам будут проходить мастер-классы на открытом воздухе.
Делимся ближайшими датами занятий:
🔴«Эмоция на бумаге: быстрый рисунок с Лёшей Гельдом»
🗓 5 сентября
Ведущий: Лёша Гельд, художник и иллюстр…
Выставки 2025 💫
Продолжаем праздновать десятилетие музея и вспоминать наши проекты за 10 лет.
Что происходило в музее год назад? В 2025 году разбирались в феномене русского импрессионизма, показывали «дикие», фовистские работы отечественных и европейских художников и смотрели на Москву глазами легендарного журналиста Владимира Гиляровского.
А еще провели конференцию «Русский импрессионизм: границы и горизонты», а …
Видеолекция «Елизавета Званцева, Илья Репин и Константин Сомов. История художников и модели»
Отношения между художником и моделью — это часто большее, чем просто работа у мольберта. Иногда они связаны дружескими узами, а иногда романтическими или семейными.
На лекции искусствовед Майя Соловьёва рассказывает историю создания портретов основательницы известной художественной школы — Елизаветы Званцевой и рассказывает…
Достаем тетради ✍🏼
Подготовили подборку наших сувениров для тех, кому скоро на учебу: тетради, альбомы, линейки, закладки и раскраски.
📖 Все товары можно приобрести в магазине «Подписные в музее» на 3 этаже.
Знаменитая трехцветка и сферическая перспектива — методы, которые Кузьма Петров-Водкин начал разрабатывать еще в школе Званцевой.
О первом преподавательском опыте мастера и новаторской системе художественной студии рассказывает искусствовед и наш экскурсовод Вера Бруханская.
📌Увидеть работы Кузьмы Петрова-Водкина, других преподавателей и учеников студии можно на выставке «Школа Званцевой. Лаборатория модернизма».
«За тридевять земель. Вода» 🌊
Так называется один из разделов выставки «Сказка рядом» — нашего совместного проекта с Новгородским музеем-заповедником.
Водная стихия нередко становится в русском фольклоре пограничным пространством, переходом между обыденным миром — и волшебным, потусторонним.
Сказочное царство лежит за семью морями, огненной рекой Смородиной или океаном. Переправа через эту преграду знаменует д…
Брошюра выставки «Школа Званцевой. Лаборатория модернизма» — краткое погружение в тему проекта и знакомство с его основными героями.
Вы узнаете, чему учили студентов Лев Бакст, Мстислав Добужинский и Кузьма Петров-Водкин в одной из самых популярных художественных студий начала XX века, и познакомитесь с ключевыми работами выставки.
📍Приобрести брошюру можно в музейном магазине «Подписные в музее».
❤22👍17🔥7😍7👏2
Showing the 12 most recent of 58 posts we hold for @rusimp_museum. 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.
Posts edited after publishing
@rusimp_museum edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
3 September 2026
Most recent edit
3 September 2026
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Что из перечисленного не выпускалось на фабрике «Большевик»?
Мыло20%
Духи34%
Чай46%
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 58 most recent posts we hold, published 28 July 2026 to 3 September 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.
Mentions
Named by 33 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Третьяковка официально @GT_Gallery · 48,677 Telegram ranks this channel #6 of 100 here — alongside 99 others — read 26 August 2026
Пушкинский музей @theartsmuseum · 38,051 Telegram ranks this channel #16 of 99 here — alongside 98 others — read 31 August 2026
Эрмитаж @hermitage_museum · 39,016 Telegram ranks this channel #39 of 97 here — alongside 96 others — read 31 August 2026
Культурный дилер @culturedeal · 31,798 Telegram ranks this channel #42 of 96 here — alongside 95 others — read 5 September 2026
я поведу тебя в музей @vmuzey · 35,230 Telegram ranks this channel #77 of 97 here — alongside 96 others — read 2 September 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Музей русского импрессионизма” (@rusimp_museum), 22,505 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/rusimp_museum.
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.