Channel
@artboloto
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
469subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001274399923 |
|---|---|
| Type | Channel |
| Username | @artboloto |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 13 September 2026 |
| On Telegram | t.me/artboloto |
Art & design — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 96% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 20:39 | 469 | -1 |
| 21 Aug 2026, 15:47 | 470 | +1 |
| 7 Aug 2026, 19:30 | 469 | no change |
| 6 Aug 2026, 22:46 | 469 | first reading |
7 posts held, back to 13 June 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 24 July 2026. An engagement rate over an empty window would be a number about nothing.
145 reactions across 7 posts, in 11 distinct kinds. The most used accounts for 37.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 55 | 37.9% | |
| 🔥 | 40 | 27.6% | |
| ❤🔥 | 23 | 15.9% | |
| 👍 | 7 | 4.83% | |
| 🤯 | 6 | 4.14% | |
| 🙏 | 5 | 3.45% | |
| 💔 | 4 | 2.76% | |
| 💅 | 2 | 1.38% | |
| 🆒 | 1 | 0.69% | |
| 💯 | 1 | 0.69% | |
| 🕊 | 1 | 0.69% |
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 7 of the 7 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 145 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 13 June 2026 to 24 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.
С удовольствием представляем Елену Селину, члена экспертного совета III Болотной Биеннале. Особенно приятно, что Елена присоединилась к нам уже во второй раз. Елена Селина — галерист и куратор, основатель и руководитель галереи XL, одной из ведущих галерей современного искусства в России. Елена вручила награду «Алюминиевый камыш» Анастасии Литвиновой за павильон «Болотная 34с3». Анастасия становится лауреатом наш…
❤6❤🔥3💯1
Начинаем знакомить вас с членами экспертного совета награды «Алюминиевый камыш». Ирина Кулик, автор книги «Проектируемые проезды. Современное искусство в хонтологической перспективе», искусствовед, преподаватель и лектор. На церемонии Ирина Кулик вручила награды двум павильонам: 🧟 «Время Зомби», художник Павел Зуданов 📸 Camera-Gallery, художник Никита Макеев и команда «АФ», архитектор Дмитрий Мариныч Поздравля…
❤🔥6❤5🕊1
Благодарим The New York Times за интерес к нашему проекту
🔥20❤11🤯6💅2
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❤10
Вся история российского современного искусства пронизана мечтами о «биеннале». Читайте мой новый материал о III Болотной биеннале, чтобы узнать как биеннальное движение развивалось в России с 1990-х и по сей день. Спойлер: несмотря на расцвет фестивалей на грантовой игле президентских грантов независимое искусство сегодня не может претендовать ни на общегородской масштаб, ни на гранты, ни на обширную информационну…
❤10❤🔥6🙏5
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👍7🔥6❤5💔4❤🔥3🆒1
В очередной раз нас нашла невероятная локация ⚡️ III Болотная Биеннале развернулась на крыше Московского Дворца Молодежи (МДМ) на Комсомольском проспекте, одного из знаковых зданий культуры позднесоветского периода. МДМ создавался как место формирования представлений о будущем и общественных ценностей. Сегодня эта архитектура воспринимается как свидетельство нереализованных сценариев будущего, сохранившихся в город…
🔥14❤8❤🔥5
Showing the 7 most recent of 7 posts we hold for @artboloto. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 2 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.
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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“Art.Boloto community” (@artboloto), 469 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/artboloto.
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.