Любовь Пу́ликова - историк искусства, коллекционер и журналист Forbes про искусство, эстетику и любимую богему, которая то веселится, то отдыхает.
https://max.ru/channel_bogemno
✏️ Реклама и приятные предложения @lubekus
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Created
15 July 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
8 measurements spanning 7 days, net -6. 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 10,593–10,606 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 02:35
10,594
-1
12 Aug 2026, 00:52
10,595
-1
11 Aug 2026, 01:11
10,596
-5
10 Aug 2026, 01:21
10,601
+1
9 Aug 2026, 01:11
10,600
-4
7 Aug 2026, 21:40
10,604
+2
6 Aug 2026, 20:10
10,602
+2
6 Aug 2026, 03:02
10,600
first reading
Engagement
9 posts held, back to 30 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
27.7%
avg views ÷ 10,594 subscribers
Avg views / post
2,940
9 posts measured
Reaction rate
3.08%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 12 August 2026
Posts held
9 (30 July 2026 – 12 August 2026)
Views total
26,440
Reactions total
815
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 04:56 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
≈8,170
Videos
≈120
Links
≈1,870
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
679 reactions across 8 posts, in 15 distinct kinds. The most used accounts for 33.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
225
33.1%
❤
223
32.8%
❤🔥
106
15.6%
👍
34
5.01%
😁
19
2.80%
👏
13
1.91%
👀
11
1.62%
😍
11
1.62%
🍾
10
1.47%
🎉
10
1.47%
👌
8
1.18%
🤔
3
0.442%
🥰
3
0.442%
💔
2
0.295%
🕊
1
0.147%
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 9 of the 9 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 815reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 30 July 2026 to 12 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.
Кто не знает иллюстрации Ивана Билибина к сказкам? И, наверно, как и я, вы думали, что фантазия художника была неисчерпаема…
Оказывается, есть нюанс. «Верните нам наши узоры!» — так называется выставка в Этнографическом музее, где наглядно показывают как Билибин умело заимствовал узоры, детали, даже колорит.
В 1902–1904 годах художник объехал Тверскую, Вологодскую, Архангельскую и Олонецкую губернии — описывал, по…
💌Вам письмо! Хотели побывать на свадьбе Медичи во Флоренции XVI века? Получите, распишитесь.
Виза не нужна, лететь тоже не надо (хотя было бы хорошо).
Всё в лучших традициях династических придворных браков, а программа мероприятия насыщенная.
Пир горой — едим и пьём как настоящие ренессансные аристократы, участвуем в маскарадах и футбольных матчах (да-да, в XVI веке уже играли!), охотимся, сплетничаем, оцениваем п…
Разве мог французский художник Жан Метценже (Jean Metzinger) пройти мимо своего белого кота и не разложить его на плоскости в стиле кубизм? Ответ очевиден!
#субботниекотики
📖Богема отдыхает
Пока оракул искусства в загуле, эстафету и #богемные_гадания проведет оракул от литературы.
Наш самый мистический писатель XX века ответит на вопросы в своём стиле 👌
Просто задайте мысленно вопрос, настройтесь и напишите в комментариях номер карты от 1 до 50 и сверху или снизу колоды доставать предсказание.
Поехали!🔮
«Алмазная колесница. Буддийское искусство России»
В Пушкинском музее сейчас рассказывают, как превратиться из бодхисаттвы в будду и по возможности затормозить колесо Сансары.
Задача зрителя, впрочем, куда скромнее: просто не запутаться в хитросплетениях ритуалов, иконографии и техник литья. Тем более что у многих из этих бронзовых фигур судьба драматичная — в 1944 году их в буквальном смысле вырвали из печей перепл…
«Монарх всё видит и слышит» — не метафора, а дресс-код.
Внимание на плащ Елизаветы I: он щедро усыпан глазами и ушами.
Королева буквально несёт свою шпионскую сеть на себе и намекает, что заговоры она раскрывает не магией, а хорошей агентурой. Глава её разведки — сэр Фрэнсис Уолсингем, явно одобрил бы этот лук.
В некотором роде традиция жива: у нас гадают по брошкам главы Банка России.
Неизвестный художник. «Радуж…
«Подлинное изображение кота великого князя Московского», 1663.
Гравюра Вацлава Холлара (по оригиналу Фредерика де Мушерона?)
Вот оно, — самое раннее изображение домашнего кота на картинах (гравюрах) на территории России.
Отвергнутая, но такая интересная гипотеза гласит, что и не кот это вовсе, а сам царь Алексей Михайлович под видом любимого кота.
Дескать нельзя было просто так взять в XVII веке и написать не пара…
С нами #богемные_гадания! Погружаемся в туманные послания от оракула искусства и узнаём, что август грядущий нам готовит 🔮
Правила просты: мысленно задаем насущный вопрос — нажимаем на скрытую картинку — получаем свой живописный ответ.
Вопросы по интерпретации выпавшего обсуждаем в комментариях.
Приступим! 🪄
📖Богема отдыхает
Вот что называется — коллаборация на века!
Эйнемъ + «Утро в сосновом лесу» Шишкина и Савицкого = конфета «Мишка косолапый».
Художник кондитерской фабрики Мануил Андреев в 1913 году поместил картину на яркий бирюзовый фон, добавил стилизованных еловых веток и Вифлеемские звезды. Тогда конфеты стоили дорого и считались отличным подарком на Рождество.
За 113 лет фантик почти не изменился, хотя и случались разные корре…
Showing the 9 most recent of 9 posts we hold for @artefacty. 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 — 103,923 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Богема отдыхает” (@artefacty), 10,594 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/artefacty.
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.
