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Channel

Тая Дейн|КРАСОТА В ДВИЖЕНИИ

@tayadeyn_official

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

9,438subscribers

+46 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001526132799
TypeChannel
Username@tayadeyn_official
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/tayadeyn_official

Growth

9,3929,4439,417.57 August 2026 — 9,392 subscribers7 August 2026 — 9,392 subscribers11 August 2026 — 9,396 subscribers14 August 2026 — 9,402 subscribers17 August 2026 — 9,443 subscribers20 August 2026 — 9,440 subscribers23 August 2026 — 9,436 subscribers26 August 2026 — 9,438 subscribers9,4387 August 202626 August 2026
8 measurements spanning 19 days, net +46. 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 9,384–9,451 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 15:029,438+2
23 Aug 2026, 17:549,436-4
20 Aug 2026, 13:069,440-3
17 Aug 2026, 22:239,443+41
14 Aug 2026, 19:379,402+6
11 Aug 2026, 06:169,396+4
7 Aug 2026, 10:159,392no change
7 Aug 2026, 10:059,392first reading

Engagement

30 posts held, back to 16 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 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.62%
avg views ÷ 9,438 subscribers
Avg views / post
342
18 posts measured
Reaction rate
1.69%
reactions ÷ views · ER floor
Posts in window
18
of 30 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 12 of 18 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 23 August 2026
Posts held30 (16 July 202623 August 2026)
Views total6,150
Reactions total73
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Aug 2026, 06:29 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
802
Videos
647
Links
386

Lifetime counters from Telegram’s own channel header, read 27 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
7m 45s
Average length
1m 06s

Measured directly from 7 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

111 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 70.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7870.3%
👍1614.4%
👏1412.6%
🎉32.70%

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 21 of the 30 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 111reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 16 July 2026 to 23 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

23 Aug 2026, 17:51 UTC72 viewsread 24 August 2026
Photo

🟢Через 5 часов этой записи уже не будет. 🖇️https://tayadeyn.ru/oval Это, наверное, самое важное сообщение за эти несколько дней. ❗️Потому что через 5 часов запись мастер-класса закроется. ❌Без продления. ❌Без повторного доступа. И знаете, что чаще всего происходит потом? 💬 «Я думала, что успею посмотреть…» Не повторяйте эту историю. Если вы давно хотели понять: ✔️ почему появляются брыли; ✔️ как сделать овал ли

21 Aug 2026, 16:26 UTC257 views2 reactionsread 27 August 2026
Photo

🟢После этого вебинара многие написали мне одну и ту же фразу… 💬 «Теперь я понимаю, почему раньше у меня ничего не получалось.» ❤️ Запись мастер-класса уже открыта! Но только на 48 часов⬇️ 🖇️https://tayadeyn.ru/oval И знаете, что меня больше всего радует? Большинство участниц поняли одну важную вещь. Мы годами пытаемся убрать брыли, второй подбородок и носогубные складки локально. Но проблема часто начинается г

2

19 Aug 2026, 08:11 UTC354 views5 reactionsread 27 August 2026
Video

ЛИМФОДРЕНАЖНАЯ ЭКСПРЕСС ПРАКТИКА Очень подходит для утренного, ежедневного ритуала. Помогает активировать лимфосистему лица, простимулировать лимфокарманы (слепые зон). Статический рисунок зависит от крепления мышц лица, спазмированых участков, поэтому уделяйте самым болезненным участкам больше внимания. ❗️Более подробно о глубоких, эффективных практиках для лица будем говорить на вебинаре уже в следующий четверг.

5

18 Aug 2026, 16:58 UTC294 views6 reactionsread 27 August 2026

Продолжение следует завтра) Далее, круиз по Енисею 2000км, Дудинка, Норильск, плато Путорана

6

18 Aug 2026, 16:58 UTC281 views7 reactionsread 27 August 2026
Photo

Кстати, в Красноярске мы успели посетить местный театр. Очень понравилось. Попали на постановку Счастливые люди ( по рассказам Шукшина).

👍7

18 Aug 2026, 16:53 UTC261 views11 reactionsread 27 August 2026
Photo

Началось всё с Красноярска Если честно, до этой поездки Север существовал для меня где-то на карте. Я знала, что есть Норильск, есть Таймыр, есть вечная мерзлота. Но все это было чем-то очень далеким и немного абстрактным. А потом за десять дней я увидела совершенно другую Россию. Такую, о существовании которой, кажется, даже не задумываешься в повседневной жизни. Наше путешествие началось с Красноярска. Почему-т

👏101

18 Aug 2026, 16:19 UTC239 views7 reactionsread 27 August 2026

Я вам тут обещала рассказать про своё путешествие по Таймыру. Если интересно, ждите - ❤️

5👍2

16 Aug 2026, 17:22 UTC350 views15 reactionsread 27 August 2026
Photo

Совсем пропала из канала) Лето закрутило! За это время успела сходить на Плато Путорана, отправиться в поход по Кавказу без связи и даже впервые за два года поболеть. А как проходит ваше лето? Что самого интересного успело с вами случиться?

10👍4🎉1

11 Aug 2026, 12:15 UTC226 views0 reactionsread 15 August 2026
Video message

Video message, posted without a caption

9 Aug 2026, 08:33 UTC339 viewsread 15 August 2026
Photo

📣УРОК на тему «Как гарантировано убрать морщины, брыли, второй подбородок- определив тип старения лица и положения шеи» доступен 48 часов. Кто был в онлайне были в восторге 🔥 ⬇️Смотрите запись по ссылке⬇️ 🔗https://tayadeyn.ru/page253 В эфире разобрали: 🔹Как определить свой тип старения и почему без понимания этого любые тренировки бессмысленны 🔹Секрет длительного результата в омоложении 🔹Как перестать копировать

Showing the 12 most recent of 30 posts we hold for @tayadeyn_official. 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 — 188,855 of 1,622,561entries 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 3 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.

Код молодости| Софи Шайн
@facefitnessonline · 104,769
Telegram ranks this channel #23 of 93 here — alongside 92 others — read 15 August 2026
Наталья Наконечная | Молодость лица и тела
@face_gimnastics_nakonechnaya · 92,738
Telegram ranks this channel #27 of 92 here — alongside 91 others — read 16 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Тая Дейн|КРАСОТА В ДВИЖЕНИИ” (@tayadeyn_official), 9,438 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/tayadeyn_official.

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.