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Channel

Dance writer's world

@westsidestory

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Referenced elsewhere · Cite this entry

8,869subscribers

-94 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001110460481
TypeChannel
Username@westsidestory
Created12 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/westsidestory

Topic

Personal blog — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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.

Growth

8,8698,9638,9166 August 2026 — 8,963 subscribers6 August 2026 — 8,963 subscribers6 August 2026 — 8,961 subscribers10 August 2026 — 8,954 subscribers13 August 2026 — 8,936 subscribers16 August 2026 — 8,927 subscribers19 August 2026 — 8,924 subscribers23 August 2026 — 8,921 subscribers25 August 2026 — 8,915 subscribers28 August 2026 — 8,910 subscribers31 August 2026 — 8,908 subscribers3 September 2026 — 8,895 subscribers8 September 2026 — 8,890 subscribers12 September 2026 — 8,873 subscribers16 September 2026 — 8,869 subscribers6 August 202616 September 2026
15 measurements spanning 42 days, net -94. 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 8,855–8,977 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 16:178,869-4
12 Sept 2026, 13:218,873-17
8 Sept 2026, 02:558,890-5
3 Sept 2026, 00:568,895-13
31 Aug 2026, 07:048,908-2
28 Aug 2026, 17:068,910-5
25 Aug 2026, 22:588,915-6
23 Aug 2026, 04:358,921-3
19 Aug 2026, 09:168,924-3
16 Aug 2026, 18:158,927-9
13 Aug 2026, 13:168,936-18
10 Aug 2026, 02:418,954-7
6 Aug 2026, 22:468,961-2
6 Aug 2026, 02:528,963no change
6 Aug 2026, 02:178,963first reading

Engagement

22 posts held, back to 19 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.7%
avg views ÷ 8,869 subscribers
Avg views / post
1,310
4 posts measured
Reaction rate
6.17%
reactions ÷ views · ER floor
Posts in window
4
of 22 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 27 August 2026
Posts held22 (19 July 202627 August 2026)
Views total5,220
Reactions total322
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:57 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
4m 31s
Average length
2m 16s

Measured directly from 2 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

1,826 reactions across 22 posts, in 24 distinct kinds. The most used accounts for 61.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,11561.1%
🔥26414.5%
🥰1015.53%
🤣804.38%
❤‍🔥703.83%
💯502.74%
😁311.70%
👍271.48%
🐳191.04%
👎120.657%
💋100.548%
🤝80.438%
😱70.383%
💔40.219%
💩40.219%
😍40.219%
🥴40.219%
30.164%
🏆30.164%
💘30.164%
4 further kinds70.383%

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 22 of the 22 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 1,826 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 19 July 2026 to 27 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 22 we hold a reading for · 14%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @westsidestory. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 22 most recent posts we hold for this entry, published 19 July 2026 to 27 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

27 Aug 2026, 18:53 UTC≈1,000 views69 reactionsread 28 August 2026

А, и самый смех, что знаменитая владелица самого большого клуба русскоязычных встреч Парижа зарабатывает на жизнь тем, что обучает вести соцсети. Наверное, урока — не ходи на чужие полянки и не какай там, у нее на курсе нет :)))) Простите, настроение игривое. Вернулась в Париж, тут сардины невкусные, дождь и нет океана. Поэтому вот буквами сублимирую :)

41😁28

27 Aug 2026, 18:01 UTC≈1,140 views114 reactionsread 28 August 2026

Про Виленскую писать ничего не буду, ибо признаться, кроме рилсов особо ничего у нее не видела. Манера подачи, харизма, юмор и так далее — это дело вкуса. Фактчекинг нужен. Готовить лекцию 6 часов — это амбициозно. Но наблюдения последнего месяца показывают, как мне кажется, довольно большую проблему. Проблему коммуникации со своим потенциальным читателем/подписчиком/покупателем. 1⃣Ситуация первая. Попадается мне

84💯15🔥13💩2

26 Aug 2026, 22:11 UTC≈1,380 views103 reactionsread 28 August 2026

Почти 10 лет назад мы в Context.Diana Vishneva выпустили с Арзамасом прекрасный большой проект о современном танце. Тогда очень многих, конечно, разорвало внутри профессии. Почему мы, почему такой выбор хореографов, почему такой выбор показывающих, почему почему почему… Это был мой первый опыт хейта, и как оказалось, до сих пор кто-то публично меня шлепает по заднице за то, что я выбрала неправильных 9 хореографичес

70🔥19💯11🥰3

24 Aug 2026, 12:30 UTC≈1,700 views36 reactionsread 28 August 2026
Video

Три новости на этот понедельник: 1⃣— лето заканчивается ☹️ 2⃣— уже готовимся к новому танцевальному сезону, посему тем, кто живет/приезжает в Европу, рекомендую свой обзор с 50-ю главными и важными спектаклями, которые неплохо было бы посетить. Для воспитания сетчатки и вкуса :) 3⃣— в этом обзоре на последней странице есть небольшое послание, и оно теряет свою силу 1 сентября. Поэтому кто приобретал, посмотрите, вдр

26🔥4🥰3👎2👍1

21 Aug 2026, 16:51 UTC≈1,850 views36 reactionsread 28 August 2026
Photo

Все мое португальское лето я провожу в размышлениях о том, как мне лучше структурировать свой проект. Думать об этом, когда ты в процессе написания лекций — невозможно. А тут выгрузила мозги и потихонечку изучаю, как должны работать CRM, Claude code and all that jazz. Зашла читать отзывы на курсы, и понимаю, что одним из больших плюсов, о чем пишут слушатели — это возможность смотреть лекции всегда, когда хочется, а

🔥21122🙏1

20 Aug 2026, 14:47 UTC≈1,930 views109 reactions1 Starread 28 August 2026
Video

Чтоб вы понимали, какая тут красота 🌊

63🔥21🐳19🥰3😍3

20 Aug 2026, 14:33 UTC≈1,800 views55 reactionsread 28 August 2026
Photo

Пока я пребываю в океановой коме ледяной Атлантики, парижане шлют свои находки 😍

29🔥20🥰4❤‍🔥2

13 Aug 2026, 14:27 UTC≈2,370 views31 reactionsread 28 August 2026

Вчера гугл тонул в запросах «солнечное затмение» (кстати, топ-событие, впервые видела, и у нас на 97% закрыло)), сегодня — «Руслан Пронин» Будет, вероятно, the most hated man для Большого театра

💯21😱7😁3

12 Aug 2026, 21:02 UTC≈2,410 views119 reactions1 Starread 28 August 2026
Photo

Разбираю жесткий диск, папка на 200 гигов, где каждая фото названа как-то :)))) В студенческие времена интернета особо не было, лекций в Сорбонне тоже не было много, поэтому я часто ходила в кино, чтобы коротать время и подтягивать listening skills. Иду по Елисейским полям и слышу: "Юг, Юг, Юг". Толпа прям в один голос. А там — Хью Грант. Ну и вот что вам нужно знать о французском произношении. Буква H (аш) у них

83🔥16🥰12👍5💯3

12 Aug 2026, 19:57 UTC≈1,950 views93 reactionsread 28 August 2026
Photo

Гастроли в Лондон в начале 2000-х Смешно, что я уже разучилась так улыбаться 😂 Со мной на фото Ира Га (которую многие театралы-интеллектуалы очень хорошо помнят по ее работе в театре) и Наташа Угрозова, которую зрители Ансамбля Моисеева до сих пор имеют счастье наблюдать на сцене 🩷

65🔥18🥰10

10 Aug 2026, 16:34 UTC≈1,970 views44 reactionsread 28 August 2026

Все, кто купил, но потерял ссылки, пишите в личку (@vitakhlopova) или в комментарии, а если вы хотите войти в этот_уже_написанный_и_сданный_в_эфир_клуб, то присоединяйтесь к нам, чтобы остаток лета провести с пользой :) Что там разбирается? 1⃣. Джордж Баланчин+Сьюзан Фарелл+"Драгоценности" 2⃣. Марта Грэм+Мерс Каннингем+"Весна в Аппалачах" 3⃣. Морис Бежар+Майя Плисецкая+"Болеро" В каждой теме по три блока, куча в

29🔥13❤‍🔥2

10 Aug 2026, 12:37 UTC≈1,780 views92 reactionsread 28 August 2026
Photo

Расскажу вам сегодня о своих факапах. И о причинах этих факапов. Прошлой осенью мне пришла в голову прекрасная идея клуба (по аналогии с моим инстаграмовским несколько лет назад), где я разбираю Хореографа, его важное произведение и артиста, тесно связанного с этим произведением. Накидала план на год, и выглядело все блестяще. Темы придумала роскошные, гордилась, как это все классно вышло. Кроме одной моей "замеч

❤‍🔥4132💋10💔4💘3💩2

Showing the 12 most recent of 22 posts we hold for @westsidestory. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 5 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.

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.

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.

Большой театр России/The Bolshoi Theatre of Russia
@bolshoi_theatre · 69,265
Telegram ranks this channel #29 of 97 here — alongside 96 others — read 20 August 2026
ЦИСКАРИДЗЕ•NEWS
@tsiskaridzenews · 103,646
Telegram ranks this channel #65 of 90 here — alongside 89 others — read 15 August 2026
musicAeterna
@musicaeternaTC · 25,437
Telegram ranks this channel #70 of 99 here — alongside 98 others — read 17 September 2026
Мариинский театр
@mariinsky · 24,002
Telegram ranks this channel #76 of 93 here — alongside 92 others — read 17 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Донн, Хорхе (ru.wikipedia.org)
“…и записали под двойной фамилией «Итович Донн»{{Cite web|url=https://t.me/westsidestory/4978|title=Dance writer's world|website=Telegram|access-da…”
read 13 September 2026

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Dance writer's world” (@westsidestory), 8,869 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/westsidestory.

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.