Telegram RegisterThe public register of Telegram

Channel

Клуб изменений с Лянкой Грыу

@lyankagryu

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry

3,196subscribers

-3 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-1001781459873
TypeChannel
Username@lyankagryu
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/lyankagryu

Growth

3,1963,1993,197.56 August 2026 — 3,199 subscribers6 August 2026 — 3,199 subscribers12 August 2026 — 3,196 subscribers6 August 202612 August 2026
3 measurements spanning 6 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 3,196–3,199 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 17:443,196-3
6 Aug 2026, 15:463,199no change
6 Aug 2026, 15:373,199first reading

Engagement

12 posts held, back to 14 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.7%
avg views ÷ 3,196 subscribers
Avg views / post
567
3 posts measured
Reaction rate
8.29%
reactions ÷ views · ER floor
Posts in window
3
of 12 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 5 August 2026
Posts held12 (14 June 20265 August 2026)
Views total1,701
Reactions total141
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:42 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
16s
Average length
16s

Measured directly from 1 video 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

737 reactions across 12 posts, in 13 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
44260.0%
🔥10414.1%
👍598.01%
😍506.78%
🥰273.66%
❤‍🔥222.99%
🤗212.85%
🕊40.543%
👏30.407%
😈20.271%
👌10.136%
💋10.136%
😱10.136%

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 12 of the 12 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 737reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 14 June 2026 to 5 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

5 Aug 2026, 10:25 UTC372 views46 reactionsread 7 August 2026
Photo

Я сходила на свидание, впервые за это лето! Долгожданное - ужин с самой собой. Так часто нам не хватает времени просто побыть с собой… посидеть на солнышке, никуда не спеша, почитать книгу, насладиться едой и просто побыть в тишине Один этот вечер дал мне ощущение уловить это прекрасное лето! Лето в Москве… я запомню его таким)) Один вечер - но как это важно.. А вы, девушки, любите водить себя на свидания? @loona

26👍9😍9👌1🤗1

4 Aug 2026, 08:46 UTC455 views45 reactionsread 7 August 2026
Video

Утро начинается со стакана теплой воды и пару капель Зелья 🌱 Многие говорят - это плацебо )) Но я все проверяю на себе! После 3х недель - сияющий цвет лица, ушли высыпания, снимает отеки, легче пищеварение. Мне нравится, когда есть простой способ сделать свой день лучше и тело здоровее. А вот из научного 📊 Хлорофилл - Поддерживает антиоксидантную защиту клеток. - Помогает уменьшать воспаление. - Может способствов

25😍11👍6🤗2🕊1

3 Aug 2026, 11:18 UTC874 views50 reactionsread 7 August 2026
Video

Для актрисы очень важно сохранять свежий и естественный вид. Поэтому я решила попробовать новую аппаратную процедуру по лифтингу Fotona 4D Совершенно безболезненно, комфортно и быстро! Заметный лифтинг эффект. Эффект раскрывается 2/3 месяца! Врач Наталья Вячеславовна Маринова Клиника https://t.me/renew_clinic_msc Для тех, кто хочет сказать «зачем вам все это, вы и так прекрасная»…😂 Дорогие мои, естественная крас

25🔥18👍5🤗1😱1

8 Jul 2026, 06:48 UTC≈1,020 views100 reactionsread 7 August 2026
Photo

В детстве я хотела машину “с лошадкой”! 😂🐎🚗 Мечта исполнилась ✅ Вообще, благодаря моей работе, я исполнила множество своих желаний, даже тех, о которых сама не знала! 😂 А лететь по Москве в красном кабриолете мне очень понравилось.. ❤️ На сьемках сериала «Пастух»

54🔥21❤‍🔥14👍6🤗3😍2

7 Jul 2026, 17:32 UTC958 views74 reactionsread 7 August 2026
Photo

Так непривычно снова носить длинные волосы..) Я постриглась в 2015 году - коротко. очень. Как символ разделения жизни на До и После… Как запрос на поиск новое себя. И вот.. 2026ой… 10 лет спустя, я чувствую, что моя трансформация завершилась. 🪬 Теперь я знаю, чувствую, понимаю, а главное Доверяю себе!

57🔥8👍3🥰3🕊2😈1

4 Jul 2026, 10:59 UTC≈1,050 views93 reactionsread 7 August 2026
Video message

Video message, posted without a caption

63😍13❤‍🔥8🔥4👍3💋1🤗1

4 Jul 2026, 10:59 UTC974 views39 reactionsread 7 August 2026

Приехала в Нижний Новгород не без приключений! Я утром опоздала на поезд, когда спохватилась то поняла, что забыла дома кошелек со всеми картами 🙈😂 Ретроградный Меркури начался сегодня красиво.. Но я купила новый билет и доехала до Нижнего и даже успела на дорожку 🎀 Выходные проведу здесь, куда идти, где поесть пишите в комментариях!

21👍14🤗3🕊1

28 Jun 2026, 10:23 UTC≈1,120 views67 reactionsread 7 August 2026
Photo

🌟 Моя премьера прошла на чистом Вдохновении!!! Волнение отступило с первыми звуками музыки и дальше я просто получала бесконечное удовольствие от моих партеров, зала и самой роли ❤️🌊 Я рада стать частью прекрасного, тонкого, трогательного спектакля «Осенний роман» и увидимся с вами в новом театральном сезоне! Ближайший в Москве 29 августа!

59🥰4👏3🤗1

23 Jun 2026, 16:04 UTC≈1,150 views76 reactionsread 7 August 2026
Video message

Video message, posted without a caption

32🥰20😍15🔥7🤗2

23 Jun 2026, 16:04 UTC≈1,070 views14 reactionsread 7 August 2026

Мы начинаем ☀️🙈⚡️⚡️⚡️

👍131

23 Jun 2026, 09:22 UTC≈1,130 views92 reactionsread 7 August 2026
Photo

Сегодня у меня премьера в театре! ⚡️ Новая роль. Новый спектакль. «Осенний роман» играем в театре Эстрады, а в дальнейшем будут гастроли по России и я обязательно напишу вам расписание, в какие городах мы сможем увидеться! Пожелайте мне удачи сегодня)) это всегда волнительно и бесконечно радостно, дарить вам свое творчество ❤️

🔥4639🤗7

14 Jun 2026, 08:44 UTC≈1,220 views41 reactionsread 7 August 2026

Главный принцип Самопрограммирование работает не через обман себя, а через создание нового внутреннего образа жизни. Сначала вы замечаете хорошее. Потом начинаете верить, что хорошего может быть больше. А затем постепенно формируете мышление человека, для которого желаемая реальность становится естественной нормой. Именно поэтому дневник самопрограммирования — это не про фантазии. Это практика, которая помогает вы

40😈1

Showing the 12 most recent of 12 posts we hold for @lyankagryu. 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 — 34,147 of 1,345,403entries 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.

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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q4151002 on Wikidata, read 9 August 2026
LabelLyanka Gryu
DescriptionRussian stage, film and TV actress
X / Twitter@Lyanka_Griu
YouTubeUCRzlkZVMYuGcK1HBdny-_fA

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

“Клуб изменений с Лянкой Грыу” (@lyankagryu), 3,196 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/lyankagryu.

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.