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Telegram profile photo for Dance writer's world

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

9,016subscribers

+53 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
DescriptionМеня зовут Вита Хлопова. Раньше танцевала, сейчас пишу. Главная в www.nofixedpoints.com Тут пишу, как сами понимаете, про танцы ;) Личка — @vitakhlopova Все лекции — nofixedpoints.com/education Экскурсия в Оперу —nofixedpoints.com/operavita
Created12 March 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held28
Confirmed unchanged1 time, most recently 10 November 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 the other topics.

Growth

8,8629,0168,9396 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 subscribers25 September 2026 — 8,886 subscribers4 October 2026 — 8,885 subscribers11 October 2026 — 8,871 subscribers14 October 2026 — 8,866 subscribers17 October 2026 — 8,862 subscribers21 October 2026 — 8,875 subscribers24 October 2026 — 8,872 subscribers27 October 2026 — 8,871 subscribers29 October 2026 — 8,924 subscribers1 November 2026 — 8,976 subscribers3 November 2026 — 8,984 subscribers6 November 2026 — 8,982 subscribers10 November 2026 — 9,016 subscribers6 August 202610 November 2026
28 measurements spanning 96 days, net +53. 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 8,839–9,039 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
10 Nov 2026, 01:509,016+34
6 Nov 2026, 15:548,982-2
3 Nov 2026, 23:418,984+8
1 Nov 2026, 06:518,976+52
29 Oct 2026, 14:218,924+53
27 Oct 2026, 00:118,871-1
24 Oct 2026, 02:578,872-3
21 Oct 2026, 08:178,875+13
17 Oct 2026, 22:268,862-4
14 Oct 2026, 17:078,866-5
11 Oct 2026, 01:378,871-14
4 Oct 2026, 18:378,885-1
25 Sept 2026, 06:598,886+17
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, 22:588,915first reading

Engagement

57 posts held, back to 19 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 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 9,016 subscribers
Avg views / post
1,550
35 posts measured
Reaction rate
4.45%
reactions ÷ views · ER floor
Posts in window
35
of 57 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 13 November 2026
Posts held57 (19 July 2026 – 13 November 2026)
Views total54,377
Reactions total2,422
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 13:07 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
≈3,030
Videos
≈891
Links
≈1,920

Lifetime counters from Telegram’s own channel header, read 13 November 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.

Video runtime
15m 22s
Average length
1m 32s

Measured directly from 10 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

4,248 reactions across 57 posts, in 38 distinct kinds. The most used accounts for 56.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,39456.4%
🔥64515.2%
🥰2205.18%
😁1884.43%
❤‍🔥1283.01%
🎉852.00%
🤣852.00%
👍731.72%
😍541.27%
💯521.22%
💘461.08%
👏420.989%
👻340.8%
😢290.683%
🎃190.447%
🐳190.447%
👎150.353%
💋110.259%
🍾100.235%
😱100.235%
18 further kinds892.10%

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 57 of the 57 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 4,248 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 57 most recent posts we hold, published 19 July 2026 to 13 November 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 57 we hold a reading for · 5%
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 57 most recent posts we hold for this entry, published 19 July 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 4 of 35 posts held from the last 30 days (11.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 12:04 UTC310 views3 reactionsread 13 November 2026
Photo

Никого не узнаете на этом уроке по технике Грэм в Нью-Йорке. (Не подскажу точное место, а то сразу все поймете)

❤3

12 Nov 2026, 11:56 UTC770 views49 reactionsread 13 November 2026

Расскажу вам о своих передвижениях на ближайший месяц, вдруг где-то захотите меня выловить :) 📌 23-29 ноября буду в экспертном совете фестиваля современной хореографии в Витебске. Там же на фестивале проведу лабораторию танцевальной критики. (Сил мне на все! Работа это сложная, в том году была в жюри, и там прям зафилонить не получилось, насыщенная программа очень, и обсуждения, и лекции. Роскошно) 📌30 ноября — 3 д…

❤28🔥14🥰4💔2🍾1

11 Nov 2026, 16:28 UTC957 views44 reactionsread 13 November 2026
Video

Это хорошее, а то все Том Харди, да этот турецкий краш, не знаю, как зовут :) Взяла отсюда

😁22❤7🤣5🤮4👎3🔥2🥰1

11 Nov 2026, 10:20 UTC≈1,070 views108 reactionsread 13 November 2026
Photo

Свеженькая фотосессия Михаила Николаевича в объективе Марка Селигера 😍

💘43❤42😍19🥰3🔥1

10 Nov 2026, 12:36 UTC≈1,160 views30 reactionsread 13 November 2026
Photo

Коллеги пишут, что Опера лютует и игнорирует запросы лицензированных гидов на экскурсии, поэтому каждый раз отправляю заявку со страхом, что не аппрувнут. Пока не аппрувнули только одну группу в почти 20 человек, но, может, оно и к лучшему :) Скоро вот веду 11, надеюсь, они не разбегутся :)))) Поэтому напоминаю вам, что до конца этого сезона, то есть до 14 июля 2027, если вы будете в Париже, обязательно идите, со м…

❤14🥰13❤‍🔥2👌1

9 Nov 2026, 09:03 UTC≈1,460 views70 reactionsread 13 November 2026
Photo

Выдалась у меня неделька под знаком Матса Эка: помимо клуба еще и читала лекцию своим старинным знакомым еще из прошлой жизни, фестивалю и клубу "Территория" (вы себе представить не можете, как сильно мне не хватает читать живые лекции перед аудиторией, просто чахну без этого). Посему собрала вам список его балетов, вдруг вы не смотрели, а это достаточно большая потеря для вашего театральной насмотренности. Если на …

❤43🔥22😍4⚡1

7 Nov 2026, 08:15 UTC≈1,460 views51 reactionsread 13 November 2026
Photo

Вчера еще раз сходила на тройчатку в Оперу, крайне разочаровалась всем, если честно, но нашла любопытное при изучении. «Внутренние пейзажи» Жана-Кристофа Майо были очень похожи одновременно на «Знаки» Карлсон и Glass pieces Роббинса. Почитав побольше, узнала, что эту работу Майо посвятил своему отцу, художнику Жану Майо, рано ушедшему из жизни. На сцену один раз спускают полотно художника, но в целом именно освещен…

❤18👍8🤡8🗿5🥴5✍3🥰2🔥1

5 Nov 2026, 18:33 UTC≈1,520 views190 reactionsread 13 November 2026

На этой неделе я получила прицельные два пресс-приглашения на спектакли. Французские. Очень все вежливо, но думаю, это просто рассылка. Поэтому ничего страшного, не буду отвечать. Потом одно письмо «Вита, вероятно, вы пропустили». Потом еще одно. Я ответила: уточнила два момента, точно ли им нужна рецензия на русском, и точно ли нужна рецензия от балетного критика (зовут на музыкальный спектакль). Сутки тишина, д…

❤125👏28❤‍🔥18🔥12🥰6🤗1

5 Nov 2026, 14:35 UTC≈1,470 views52 reactionsread 13 November 2026
Photo

На фото с Марковым я поплыла 😂😂😂 Не знаю, читает ли меня Нелли, но если что — передавайте ей такой привет из прошлого века 😜

❤36🔥11😍5

5 Nov 2026, 14:31 UTC≈1,390 views52 reactionsread 13 November 2026
Photo

На каждой — клянусь — моей лекции будет кто-то, кто спросит, как я отношусь к Эйфману. Ну что сказать: это мой первый опыт был на фото, гастроли в МАМТ, с мега-составом, от Игоря Маркова и Альберта Галичанина до невероятной Веры Арбузовой. Тогда показывали "Братьев Карамазовых" и "Красную Жизель", а мой билетик за 80 или 8 рублей, не помню, я наглухо потеряла дома, хотя купила задолго. Поэтому штурмовала театр в гру…

❤38😁8🥰4🤗2

5 Nov 2026, 12:08 UTC≈1,390 views69 reactionsread 13 November 2026
Photo

Тут недавно попалась тема для размышления, про ошибки у тех, кто что-то публично — в книгах ли, в блогах ли — рассказывает. Я подружкам поохала в личном чате, но сейчас новый пример меня добил, поэтому несу вам :) На самом деле ошибаются все. Заговорился, поторопился, перескочил на другую мысль, перепутал. Мы с коллегами даже собирали наши классические ляпы, когда знаешь, что имя человека другое, но вслух все равно…

❤52👍11🥰5👏1

3 Nov 2026, 14:14 UTC≈1,350 views39 reactionsread 13 November 2026
Photo

Почитайте, как Костя сочинял эту работу, и с какими ИИ работал над ней. И приходите на спектакль — поддерживайте современного хореографа, это очень важно!

🔥21❤14👏2😍2

Showing the 12 most recent of 57 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.

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 6 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.

Дьявол на пуантах
@devilonpointshoes · 21,478
Telegram ranks this channel #2 of 67 here — alongside 66 others — read 23 September 2026
Большой театр России/The Bolshoi Theatre of Russia
@bolshoi_theatre · 76,359
Telegram ranks this channel #29 of 97 here — alongside 96 others — read 20 August 2026
ClassicalMusicNews.Ru
@classicalmusicnews · 19,030
Telegram ranks this channel #65 of 96 here — alongside 95 others — read 4 October 2026
ЦИСКАРИДЗЕ•NEWS
@tsiskaridzenews · 102,411
Telegram ranks this channel #65 of 90 here — alongside 89 others — read 15 August 2026
musicAeterna
@musicaeternaTC · 25,999
Telegram ranks this channel #70 of 99 here — alongside 98 others — read 17 September 2026
Мариинский театр
@mariinsky · 24,870
Telegram ranks this channel #76 of 93 here — alongside 92 others — read 17 September 2026

This channel appears in 6 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 1 November 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Dance writer's world” (@westsidestory), 9,016 subscribers as measured 10 November 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.