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Channel

Тома у микрофона 🎙

@tomadancelab

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

1,265subscribers

+3 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001388130344
TypeChannel
Username@tomadancelab
Created7 October 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live25 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/tomadancelab

Growth

1,2611,2671,2647 August 2026 — 1,262 subscribers7 August 2026 — 1,262 subscribers7 August 2026 — 1,261 subscribers11 August 2026 — 1,262 subscribers15 August 2026 — 1,266 subscribers18 August 2026 — 1,267 subscribers21 August 2026 — 1,264 subscribers25 August 2026 — 1,265 subscribers1,2657 August 202625 August 2026
8 measurements spanning 17 days, net +3. 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 1,260–1,268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 03:131,265+1
21 Aug 2026, 13:171,264-3
18 Aug 2026, 11:051,267+1
15 Aug 2026, 02:051,266+4
11 Aug 2026, 08:021,262+1
7 Aug 2026, 23:111,261-1
7 Aug 2026, 22:481,262no change
7 Aug 2026, 15:151,262first reading

Engagement

7 posts held, back to 24 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.88%
avg views ÷ 1,265 subscribers
Avg views / post
125
2 posts measured
Reaction rate
7.60%
reactions ÷ views · ER floor
Posts in window
2
of 7 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 3 August 2026
Posts held7 (24 July 20263 August 2026)
Views total250
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:48 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
11m 02s
Average length
2m 46s

Measured directly from 4 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

43 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 88.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3888.4%
🙏511.6%

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 7 of the 7 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 43reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 24 July 2026 to 3 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

3 Aug 2026, 09:42 UTC106 views10 reactionsread 7 August 2026
Photo

Читая скрипты уроков и разговоров Моше, я вижу, как он четко подчеркивает, что обучение — это то, что действительно сильно отличает наш вид, и открывает совершенно новые возможности, если уметь этим пользоваться. Мы учимся буквально всему с самого рождения, но однажды эти процессы начинают прекращаться. Просто отмирают, словно у обучения есть окончательность, и даже возраст. Первую часть своей жизни учиться как буд

5🙏5

Signed Tamara Veremeychik

2 Aug 2026, 17:21 UTC144 views9 reactionsread 7 August 2026
Photo

Закончился мой двухдневный тур «до Новосибирска на выходные». Основная цель: гостевое посещение обучающей программы Фельденкрайз «Сибирь-1» и встреча с моей дорогой друлегой, с которой как раз вместе выпускались в Москве почти год назад. Пожалуй, почти в любой профессии, есть свои этапы развития и роста, своя «внутренняя кухня». Ты можешь стать студентом пожизненно, так или иначе познавая все тонкости и продолжая р

9

Signed Tamara Veremeychik

27 Jul 2026, 20:57 UTC178 views5 reactionsread 7 August 2026
Video

Невероятно интересно запоминать уровни с помощью одной истории гениального психолога, преподавателя, профессора кафедры общей психологии — Валерия Викторовича Петухова. Посмотрите, это очень занимательно и даже забавно🥰 Кто-то может не согласиться со всеми примерами или поспорить с ним, но всё же на этой лекции он давал общее представление о базовых вещах своим студентам 🙏🏽

5

Signed Tamara Veremeychik

27 Jul 2026, 20:52 UTC160 views6 reactionsread 7 August 2026
Photo

Теория уровней построения движений Николая Александровича Бернштейна — это одна из самых красивых и элегантных концепций в физиологии и психологии. Бернштейн перевернул научный мир, доказав, что наши движения — это не просто механические рефлексы, а сложные задачи, которые мозг решает в реальном времени. Чтобы мы не «зависали» от перегрузки, мозг распределяет управление движениями по разным «этажам» нервной системы

6

Signed Tamara Veremeychik

25 Jul 2026, 10:31 UTC128 views4 reactionsread 7 August 2026
Forwarded from @feldenkraisrussiaVideo

 Эндрю Гиббонс, классический пианист и Фельденкрайз практик из Нью-Йорка, рассказывает о процессе осознавания всего тела с точки зрения Фельденкрайза и о том, как добиться лучшего музыкального звучания, обретя более оптимальную скелетную поддержку в положении сидя. Это видео предлагает мини-демонстрацию ключевых принципов, которые необходимо осознавать в положении сидя, чтобы придать лёгкость движениям ваших рук и

4

Signed Tamara Veremeychik

25 Jul 2026, 10:29 UTC117 views4 reactionsread 7 August 2026
Photo

Профессиональный рабочий может нанести за день тысячи ударов. И тогда даже небольшое лишнее напряжение, лишняя траектория или неудачная организация движения превращаются в огромные потери сил. Поэтому в центральном институте труда удар исследовали, фиксировали, пытались найти его наиболее рациональную организацию — своего рода «нормаль» движения. В 1922 году Гастев пригласил в ЦИТ молодого физиолога Николая Бернште

4

Signed Tamara Veremeychik

24 Jul 2026, 13:37 UTC137 views5 reactionsread 7 August 2026
Photo

В 1926 году Николая Александровича Бернштейна пригласили в Государственный институт музыкальной науки в Москве. Там он возглавил лабораторию изучения движений. Одним из первых направлений работы стала игра на фортепиано. Бернштейна интересовало, как устроен фортепианный удар и каким образом движение руки превращается в звук. Для исследования ритмических октав Бернштейн и Татьяна Попова использовали кимографический

5

Signed Tamara Veremeychik

Showing the 7 most recent of 7 posts we hold for @tomadancelab. 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

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.

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

“Тома у микрофона 🎙” (@tomadancelab), 1,265 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/tomadancelab.

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.