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бровка

@brovkajournal

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

249subscribers

+1 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003773040001
TypeChannel
Username@brovkajournal
CreatedBetween 1 February 2026 and 26 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/brovkajournal

Growth

248249248.58 Aug 2026, 02:35 — 248 subscribers8 Aug 2026, 09:33 — 248 subscribers8 Aug 2026, 20:54 — 249 subscribers8 Aug 2026, 02:358 Aug 2026, 20:54
3 measurements taken within a single day, net +1. 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 248–249 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 20:54249+1
8 Aug 2026, 09:33248no change
8 Aug 2026, 02:35248first reading

Engagement

9 posts held, back to 26 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.

ERR · 30 days
75.0%
avg views ÷ 249 subscribers
Avg views / post
187
4 posts measured
Reaction rate
12.3%
reactions ÷ views · ER floor
Posts in window
4
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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held9 (26 May 20264 August 2026)
Views total747
Reactions total92
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 09:33 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.

Reaction mix

228 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 58.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13458.8%
custom 52513282693907471465524.1%
2511.0%
💔146.14%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 228reactions 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 26 May 2026 to 4 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.

Recent posts

4 Aug 2026, 13:56 UTC171 views22 reactionsread 8 August 2026
Photo

посвящается Симон Форти 29 июля не стало Симон Форти — художницы движения, хореографа, писательницы, ведущей фигуры танца постмодерн и Театра танца Джадсон. Делимся переводом отрывков из её статьи «Animate Dancing: A Practice in Dance Improvisation» («Оживляя танец: практика танцевальной импровизации»). В этом тексте Симон собрала практические наблюдения о том, как танец открывался для неё в природе, памяти, новост

11💔8custom 52513282693907471463

29 Jul 2026, 16:54 UTC172 views17 reactionsread 8 August 2026

презентация антологии «Танцевать и наблюдать: теории современного танца» в Петербурге〰️

10custom 52513282693907471467

29 Jul 2026, 16:53 UTC165 views18 reactionsread 8 August 2026
Video message

Video message, posted without a caption

10custom 525132826939074714653

26 Jul 2026, 12:27 UTC239 views35 reactionsread 8 August 2026
Photo

Сегодня — первый день фестиваля {танец без ума от себя} и от любви в Санкт-Петербурге. Это одно из главных событий для сообщества современного танца: в этом году на разных площадках города будет показано 10 танцевальных работ, пройдут 4 лаборатории, а ещё — открытый микрофон, дискуссии, джем и прогулки. Фестиваль существует с 2023 года и вырос на почве студии «Сдвиг» как самоорганизованная инициатива. {танец без ума

189custom 52513282693907471468

9 Jul 2026, 19:27 UTC517 views29 reactionsread 8 August 2026
Photo

новый материал — «Хореография повседневности. Полевое эссе» Влады Булыгиной Статья режиссёра, хореографа и художницы Влады Булыгиной — это взгляд на структуру и особенности региональных сообществ современного танца. Текст опирается на интервью с художницами из Кирова, Тулы и Калуги и вдохновлён уикендом Мягкая сила, прошедшим в Туле 2-3 мая 2026 года. На карте нет главного маршрута, центра или правильной последоват

167custom 52513282693907471466

8 Jun 2026, 20:01 UTC689 views34 reactionsread 8 August 2026
Photo

отрывок из новой книги «Танцевать и наблюдать: теории современного танца» Анны Козониной и Ани Кравченко на сайте бровки Важное и долгожданное событие — презентация новой книги о современном танце на русском языке. Это сборник статей «Танцевать и наблюдать» издательства V-A-C, над которым работали Анна Козонина и Аня Кравченко. Антология станет доступна к продаже только на презентации 10 июня, но у бровки есть пода

20custom 525132826939074714686

5 Jun 2026, 07:30 UTC448 views33 reactionsread 8 August 2026
Photo

«Полотно обнимает тело»: события тела и мыслей по ходу перформанса «Пам Пам» — инклюзивная танцевальная компания из Санкт-Петербурга. 7 июня она покажет премьерную работу «Полотно обнимает тело» в студии СДВИГ. Это перформанс, в котором соматическая практика становится основой танца, открытого для физически и ментально разных танцовщиков. Лера Юдина побывала как зритель на открытой репетиции работы и делится впеча

17custom 525132826939074714610💔6

26 May 2026, 19:39 UTC331 views33 reactionsread 8 August 2026

Тело, населенное и населяющее другие тела и умы, тело, одновременно, открытое миру через язык и чувственный контакт, и изолированное в своей неповторимости через тишину и не-написание. Тело, которое открывается и закрывается, которое бесконечным образом соединяется с другими телами и элементами, тело, которое может быть пустынным, опустошенным, забранным у души, равно как и пересечено буйными потоками жизни. Тело чел

25custom 52513282693907471468

26 May 2026, 19:38 UTC278 views7 reactionsread 8 August 2026
Forwarded from @dance_curatorFile

File, posted without a caption

7

Showing the 9 most recent of 9 posts we hold for @brovkajournal. 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 — 501,029 of 1,481,217entries 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.

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

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

“бровка” (@brovkajournal), 249 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/brovkajournal.

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.