Telegram RegisterThe public register of Telegram

Channel

Интермузей.БРИКС+

@intermuseum

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,414subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002010441161
TypeChannel
Username@intermuseum
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/intermuseum

Growth

1,4141,4171,415.56 August 2026 — 1,417 subscribers6 August 2026 — 1,417 subscribers10 August 2026 — 1,414 subscribers6 August 202610 August 2026
3 measurements spanning 4 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 1,414–1,417 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 11:011,414-3
6 Aug 2026, 22:301,417no change
6 Aug 2026, 22:181,417first reading

Engagement

5 posts held, back to 27 May 2026the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 8 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

45 reactions across 5 posts, in 5 distinct kinds. The most used accounts for 28.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1328.9%
1124.4%
👍920.0%
🥰715.6%
👏511.1%

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 45reactions 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 27 May 2026 to 8 June 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.

Recent posts

8 Jun 2026, 19:34 UTC370 views15 reactionsread 6 August 2026
Photo

Спасибо, что были с нами! Мы не прощаемся💙

6🔥5👍4

6 Jun 2026, 14:30 UTC431 views7 reactionsread 6 August 2026
Photo

Делимся самым интересным фрагментами из дискуссии «Полное погружение. Зачем музеям объединяться в ассоциации» 📝 Узнали, что дает музеям членство в ассоциациях, какие форматы работы музейных ассоциаций существуют и чем они полезны. 🟡 Дмитрий Бак, директор, Государственный музей истории российской литературы имени В. И. Даля: Мы решили стать секцией Союза музеев, это был правильный ход, потому что мы освободились от

4👍2👏1

4 Jun 2026, 14:59 UTC423 views7 reactionsread 6 August 2026
Photo

Подводим итоги мозгового штурма «Экспозиция 360. Как проектировать на все аудитории?» 🗣 Спикеры поделились, как их кейсы стали пространствами объединения для разных посетителей, объяснили, каким образом различные слои выставки влияют на впечатления гостей и помогают им получить совместный опыт. ▪️В качестве модератора выступила Валерия Агафонова, программный директор, Центр «Зотов»: Мы вдохновляем, просвещаем и зан

🥰3👍2🔥2

2 Jun 2026, 12:44 UTC398 views4 reactionsread 6 August 2026
Photo

Продолжаем вспоминать самые яркие события «Интермузея». Одна из интереснейших тем, раскрытых на фестивале — паблик-арт. Давайте вспомним, о чем шла речь на круглом столе «Музей вне стен. Действующие лица и союзники». 🔴Алиса Прудникова, программный директор Дома культуры «ГЭС-2» (V-A-C): Важно, чтобы проекты работали с городским пространством. Мы создаем проект, который сделает паблик-арт системным и регулярным. Кажд

🔥21👍1

27 May 2026, 15:02 UTC620 views12 reactionsread 6 August 2026
Photo

Что если сама стена — уже экспонат? Заброшенный завод, городской двор, железнодорожный вокзал — архитектура давно вышла за рамки «белого куба» и стала соавтором искусства. В рамках фестиваля прошло публичное интервью «Архитектура как союзник. Превращая немузейное пространство в сцену для искусства» — разговор о том, как среда формирует смысл, а не просто обрамляет его. 🔵 Сергей Мешалкин, архитектор, советник директо

👏4🔥4🥰4

Showing the 5 most recent of 5 posts we hold for @intermuseum. 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.

Citation-graph rank

Citation-graph rank — 294,659 of 1,169,250entries 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Интермузей.БРИКС+” (@intermuseum), 1,414 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/intermuseum.

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.