Telegram RegisterThe public register of Telegram

Channel

Риторика в действии❗🎙

@speakerstylist

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

26subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001081201661
TypeChannel
Username@speakerstylist
DescriptionДля тех, кто хочет говорить свободно, решительно, увлекательно. Специалист по речевой коммуникации @natalia_nicol_vasilieva
Created2 October 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded11 August 2026
Last confirmed live11 August 2026
Measurements held2
On Telegramt.me/speakerstylist

Growth

267 August 2026 — 26 subscribers11 August 2026 — 26 subscribers7 August 202611 August 2026
2 measurements spanning 4 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 25–27 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 08:4626no change
7 Aug 2026, 20:0026first reading

Engagement

11 posts held, back to 9 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
74.7%
avg views ÷ 26 subscribers
Avg views / post
19.4
7 posts measured
Reaction rate
39.0%
reactions ÷ views · ER floor
Posts in window
9
of 11 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 9 August 2026
Posts held11 (9 July 20269 August 2026)
Views total136
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 08:46 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
1,130
Videos
158
Links
326

Lifetime counters from Telegram’s own channel header, read 11 August 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
33s
Average length
33s

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

69 reactions across 9 posts, in 11 distinct kinds. The most used accounts for 23.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1623.2%
1420.3%
👏1115.9%
710.1%
👍68.70%
❤‍🔥45.80%
💯45.80%
🍾22.90%
🔥22.90%
🤓22.90%
🆒11.45%

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 9 of the 11 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 69reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 9 July 2026 to 9 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

9 Aug 2026, 12:18 UTC8 views7 reactionsread 11 August 2026
Video message

Video message, posted without a caption

3🔥2🥰2

Signed Natalia Vasileva|Profesora 🇪🇸

4 Aug 2026, 15:49 UTC11 views7 reactionsread 11 August 2026
Forwarded from @aitalenthubnewsPhoto

#MLCoбес [финааал]: торг уместен Салют, слоняры! Это всё еще я, Дима Савелко 🐘 Data Scientist (NLP/LLM) с 4+ годами опыта в R&D Точки и Сбера, где я обучал Гигачат и пилил корпоративные LLM. Сейчас фаундер менторства savelkoteam, где помогаю ML-инженерам с нуля забирать жирные офферы на 300к+. Веду канал Ebout Data Science про трудоустройство, поднятии ЗП, а также о прохождении собеседования. Мы прошли все круги а

🥰32👏2

Signed Natalia Vasileva|Profesora 🇪🇸

3 Aug 2026, 19:41 UTC49 views7 reactionsread 11 August 2026
Photo

🤌🏻 Очень странные дела... Когда я 12 лет назад начала учить испанский, мой английский начал волноваться и активно подавлять мой испанский. Потом смирился и уступил перед натиском упорного молодого языка с огромной мотивацией. Так испанский занял место под солнцем в моей жизни и прекрасно себя чувствовал до настоящего времени. Этим летом я достала мой забытый английский с чердака, стряхнула с него пыль и занялась и

3👏2🥰2

Signed Natalia Vasileva|Profesora 🇪🇸

30 Jul 2026, 13:35 UTC12 views8 reactionsread 11 August 2026
Photo

👥 Как успешные люди выбирают, с кем общаться, и умело пользуются своими связями? На днях я слушала интересный подкаст по теме социальные связи и общение. В нем обсуждалась статья об осознанном формировании поддерживающего нас окружения. Меня привлекла позиция авторов: круг знакомств успешных руководителей разнообразен, но в нем нет случайных фигур 📍 Такие люди поддерживают прочные, глубокие отношения с людьми из ра

🥰32❤‍🔥2👏1

Signed Natalia Vasileva|Profesora 🇪🇸

24 Jul 2026, 13:30 UTC17 views8 reactionsread 11 August 2026
Photo

🖐 Кажется только вчера выбирали университет, сдавали ЕГЭ, ждали подтверждения гранта на обучение, провожали Игоря в Innopols, первое фото оттуда и первые покупки с первой стипы... А сейчас впереди время самых важных решений в жизни. И чем дальше — тем интереснее 🪜

💯4👍2🥰2

Signed Natalia Vasileva|Profesora 🇪🇸

23 Jul 2026, 17:21 UTC20 views8 reactionsread 11 August 2026
Video

Как правильно выбрать университет❓ Интервью "Студии95" Академического лицея 95 г. Челябинска о выборе профессии и студенческой жизни в Иннополисе 🎓 Сейчас Игорь уже выпускник Inno и учится на 2 курсе Университета ИТМО, первого в рейтинге вузов России по мнению студентов (по итогам Карьерной платформы Changellenge Best Company Award 2026), в магистратуре AI Talent Hub ИТМО, лучшем образовательном проекте в сфере ген

3👏2🤓2🆒1

Signed Natalia Vasileva|Profesora 🇪🇸

21 Jul 2026, 17:10 UTC19 views8 reactionsread 11 August 2026
Photo

Когда после работы отметили победу Испании на ЧМ 🇪🇸

🥰42🍾2

Signed Natalia Vasileva|Profesora 🇪🇸

13 Jul 2026, 16:59 UTC21 views8 reactionsread 11 August 2026
Photo

«Ты не искушён в делах житейских, а потому всё, что сопряжено с какой-нибудь трудностью, кажется тебе невозможным… Положись на время: оно нередко находит счастливый выход из самых горьких затруднений». Хитроумный идальго Дон Кихот Ламанчский, Мигель де Сервантес "Протоптали" с моими учениками испанского новый маршрут — мой авторский курс "Путешествие по жизни и творчеству лауреатов премии Сервантеса" 🌍🌎

👏4❤‍🔥21👍1

Signed Natalia Vasileva|Profesora 🇪🇸

9 Jul 2026, 12:59 UTC17 views8 reactionsread 11 August 2026
Photo

🎉“Фиеста началась по-настоящему. Она продолжалась день и ночь в течение семи суток. Пляска продолжалась, пьянство продолжалось, шум не прекращался. Все, что случилось, могло случиться только во время фиесты. Под конец все стало нереальным, и казалось, что ничто не может иметь последствий. Казалось неуместным думать о последствиях во время фиесты…” 📕Роману Эрнеста Хемингуэя Фиеста (И восходит солнце) в этом году испо

3👍32

Signed Natalia Vasileva|Profesora 🇪🇸

Showing the 11 most recent of 11 posts we hold for @speakerstylist. 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 — 837,562 of 1,478,351entries 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.

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.

Mentions

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

“Риторика в действии❗🎙” (@speakerstylist), 26 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/speakerstylist.

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.