Telegram RegisterThe public register of Telegram

Channel

DanCo | Школа танцев

@danco_studio

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

1,862subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001468191338
TypeChannel
Username@danco_studio
Created4 December 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/danco_studio

Growth

1,8621,8641,8636 August 2026 — 1,862 subscribers6 August 2026 — 1,862 subscribers7 August 2026 — 1,864 subscribers10 August 2026 — 1,863 subscribers13 August 2026 — 1,862 subscribers6 August 202613 August 2026
5 measurements spanning 7 days. 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 1,862–1,864 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:561,862-1
10 Aug 2026, 11:451,863-1
7 Aug 2026, 18:331,864+2
6 Aug 2026, 20:311,862no change
6 Aug 2026, 20:191,862first reading

Engagement

14 posts held, back to 29 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.1%
avg views ÷ 1,862 subscribers
Avg views / post
412
14 posts measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
14
of 14 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. It is computed over the 13 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held14 (29 July 20267 August 2026)
Views total5,765
Reactions total149
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:24 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
2m 45s
Average length
21s

Measured directly from 8 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

149 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 32.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥4932.9%
💘3422.8%
🔥2617.4%
😍1610.7%
😁96.04%
custom 534840955837090196353.36%
🍓53.36%
💯32.01%
🏆10.671%
🥰10.671%

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 13 of the 14 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 149reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 29 July 2026 to 7 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

7 Aug 2026, 17:20 UTC37 views2 reactionsread 7 August 2026
Video

Извините, вырвалось 😂😱

🏆1🥰1

7 Aug 2026, 15:07 UTC197 views6 reactionsread 7 August 2026
Video

Всего один час в неделю, а энергия на высоте до следующих выходных! 🔥 Заглянули на занятие к Саше Куприну – какая теплая и уютная атмосфера в зале! Начинающая группа шаг за шагом учит любимые треки, поддерживает друг друга и просто наслаждается процессом ✨ 📍 Филиал: м. Октябрьское Поле 🗓 Расписание: Воскресенье в 13:00 ✍️ Приходите на пробное и погружайтесь в комфортеом темпе в К-ПОП кавер дэнс: @danco_5avenu

❤‍🔥6

6 Aug 2026, 09:24 UTC362 views5 reactionsread 7 August 2026

🔥 РАСПИСАНИЕ МАСТЕР-КЛАССОВ НА ДНЯХ ОТКРЫТЫХ ДВЕРЕЙ 🔥 29 и 30 августа у нас пройдут два дня абсолютно БЕСПЛАТНЫХ мастер-классов для всех, кто хочет попробовать новые танцевальные направления, перезагрузиться после работы и зарядиться мощной энергией перед стартом сезона! ✨ Почему стоит прийти: 💜 Больше 30 направлений: Танцы на каблуках, Латина, Джаз Фанк, К-ПОП, Дэнсхолл, Стретчинг и не только! 💜 Любой уровень: от

❤‍🔥5

5 Aug 2026, 16:33 UTC398 views8 reactionsread 7 August 2026
Photo

НОВАЯ СМЕНА С АНЕЙ УТКИНОЙ! 🔥 Все K-ПОП фанаты и юные айдолы! С 10 по 14 августа запускаем мощную смену K-ПОП мастерской под супервайбовый и дерзкий трек MEOVV — HIT 'EM! 🐾✨ Прокачивать стиль, технику и нереальную подачу будем под руководством нашей невероятной Ани Уткиной! Наша мастерская – это 5 дней абсолютного погружения в любимую культуру, крутое комьюнити и настоящий мини-лагерь: 💃 Много танцевального прока

❤‍🔥8

5 Aug 2026, 13:08 UTC410 views23 reactionsread 7 August 2026
Video

Юристы, модели, врачи, студенты... Нас так много и мы такие разные! 😍 У каждого свой график, свои задачи и свой ритм жизни. Но стоит перешагнуть порог зала – и нас всех объединяет одно: любовь к танцу и желание зарядиться энергией 💜 Давайте соберем большую анкету нашей танцевальной семьи прямо под этим видео! 👇 Пишите в комментариях: 🔤 Кем работаете / на кого учитесь? 🔤 Какой стиль танцуете в DANCO? Посмотрим, ко

❤‍🔥10😍7💘5🔥1

4 Aug 2026, 10:28 UTC409 views6 reactionsread 7 August 2026
Video

БЕСПЛАТНЫЕ УРОКИ ПО HIGH HEELS | ТАНЦЫ НА КАБЛУКАХ В СОКОЛЬНИКАХ! 👠 Уже 6 августа встречаемся на открытых уроках с новым топовым педагогом Юлией Каверзиной 🔥 Юля в танцах 22 года, работала на одной сцене с Ханной, DJ Smash и Анатолием Цоем. На ее классах вы гарантированно влюбитесь в каблуки и раскроете свою уверенную, дикую кошку! 😉🫦 🗓 6 августа 20:00 – Танцы на каблуках | Хорео 21:00 – Танцы на каблуках | База (

❤‍🔥4💘1😍1

3 Aug 2026, 14:35 UTC467 views25 reactionsread 7 August 2026
Photo

Наши танцоры и педагоги Саша Мирошникова и Наталья Сушко уже вернулись из Пекина, и мы наконец-то готовы поделиться с вами этим невероятным путешествием! 🇨🇳✨ DANCO – это больше, чем филиалы в Москве. Это горизонты, которые открыты для наших учеников! 😍 Уже 9 лет у нас есть крутая традиция: 2 раза в год наши творческие группы летают представлять Россию на Международных выставках юных изобретателей в самые разные уго

🔥12😍6custom 53484095583709019635🍓2

2 Aug 2026, 10:01 UTC525 views31 reactionsread 7 August 2026
Video

Есть тут у нас любители физухи??? 😎

💘15😁9🔥7

1 Aug 2026, 11:05 UTC560 views13 reactionsread 7 August 2026
Video

ОТКРЫТАЯ ГРУППА ПО ХАЙ ХИЛЗ | ТАНЦЫ НА КАБЛУКАХ 👠🔥 Этот стиль про тот самый дерзкий характер, который просыпается внутри, стоит только надеть каблуки! ❤️‍🔥 А после профессиональных съемок меняется всё: осанка, взгляд, походка и самооценка. Включаем красный свет, смелость на максимум и забираем всю эту уверенность с собой в реальную жизнь!⚡️ На видео – огненные девочки и наш педагог Настя Ершова. Хотите так же? Наб

💘6❤‍🔥4💯3

31 Jul 2026, 11:59 UTC533 views8 reactionsread 7 August 2026
Photo

Иногда достаточно просто переключить внимание из головы в тело или сделать шаг на встречу тому, что пугает. И решение приходит само. Сохраняйте себе эту карточку как напоминание 💜

💘5😍2❤‍🔥1

30 Jul 2026, 16:40 UTC520 views11 reactionsread 7 August 2026
Video

ОТКРЫТА ГРУППА ПО ДЖАЗ-ФАНКУ 🔥 Если к вечеру после работы хочется ярко встряхнуться, сбросить стресс и почувствовать себя на все 💯 — вам точно сюда! Джаз-фанк – это идеальный микс драйва, пластики и дерзости. На занятиях у Саши Ворошилиной вы не просто учите хореографию, а выплескиваете эмоции и получаете мощнейший заряд дофамина 🔥 📍 Филиал Сокольники 🗓 Понедельник и среда | 19:00 Занимайте место на пробное зан

🔥6🍓3❤‍🔥2

Showing the 12 most recent of 14 posts we hold for @danco_studio. 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 — 296,315 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 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.

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.

“DanCo | Школа танцев” (@danco_studio), 1,862 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/danco_studio.

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.