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Channel

WOW выступления с Лидией Спевак Ораторское

@WOWLidiya

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

13,058subscribers

-426 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001707368874
TypeChannel
Username@WOWLidiya
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 live18 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/WOWLidiya

Growth

13,05813,48413,2716 August 2026 — 13,484 subscribers7 August 2026 — 13,484 subscribers8 August 2026 — 13,480 subscribers8 August 2026 — 13,467 subscribers10 August 2026 — 13,443 subscribers10 August 2026 — 13,416 subscribers11 August 2026 — 13,388 subscribers13 August 2026 — 13,364 subscribers14 August 2026 — 13,126 subscribers15 August 2026 — 13,109 subscribers17 August 2026 — 13,073 subscribers18 August 2026 — 13,058 subscribers6 August 202618 August 2026
12 measurements spanning 12 days, net -426. 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 12,994–13,548 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 13:0413,058-15
17 Aug 2026, 09:5713,073-36
15 Aug 2026, 17:5313,109-17
14 Aug 2026, 04:5613,126-238
13 Aug 2026, 01:2713,364-24
11 Aug 2026, 22:4213,388-28
10 Aug 2026, 22:5413,416-27
10 Aug 2026, 00:4213,443-24
8 Aug 2026, 22:2813,467-13
8 Aug 2026, 00:4113,480-4
7 Aug 2026, 01:4013,484no change
6 Aug 2026, 20:4813,484first reading

Engagement

27 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 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.15%
avg views ÷ 13,058 subscribers
Avg views / post
934
27 posts measured
Reaction rate
1.45%
reactions ÷ views · ER floor
Posts in window
27
of 27 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 18 August 2026
Posts held27 (29 July 202618 August 2026)
Views total25,205
Reactions total365
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 07:42 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
1m 02s
Average length
31s

Measured directly from 2 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

365 reactions across 27 posts, in 8 distinct kinds. The most used accounts for 32.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11932.6%
🔥11932.6%
👍6217.0%
💯246.58%
😁164.38%
🙏123.29%
🥰82.19%
👏51.37%

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 27 of the 27 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 365reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 29 July 2026 to 18 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 27 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @WOWLidiya. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 27 most recent posts we hold for this entry, published 29 July 2026 to 18 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

18 Aug 2026, 06:18 UTC54 views4 reactionsread 18 August 2026
Photo

Журналист обращается к депутату: — Есть старая шутка: в России две беды — дураки и дороги. С первой, допустим, ничего не поделаешь: рождаются. Но дороги-то можно наконец починить? Депутат отвечает: — Да подождите вы с дорогами. Пенсии — вот что сегодня действительно важно. На что людям жить? Как помочь пенсионерам? Вот о чём нужно говорить. И всё. Только что разговор был о ямах, асфальте и ответственности за дороги

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Signed Лидия Спевак Тренер публичной речи @WOWLidiya

17 Aug 2026, 05:35 UTC≈1,030 views10 reactionsread 18 August 2026
Photo

На РБК вышла еще одна моя статья - «Почему вас воспринимают не так как вы думаете: 3 составляющие харизмы» Ссылка: https://companies.rbc.ru/news/lhJdYDIRaJ/pochemu-vas-vosprinimayut-ne-tak-kak-vyi-dumaete-tri-sostavlyayuschie-harizmyi/

5👍3🔥2

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

16 Aug 2026, 06:10 UTC≈1,040 views16 reactionsread 18 August 2026
Photo

Сегодня общалась с бизнес-тренером, от которой так и не узнала стоимость услуг. Потому что "...все зависит от количества участников, продолжительности обучения, запроса, темы...", и т.д., даже «от того, кто еще рассматривается»… Хорошо, что не от солнечного затмения и ретроградного Меркурия 🤗 Даже когда я попросила приблизительный диапазон цен, чтобы было, от чего отталкиваться, я его не получила. Короче - не делай

👍7🔥5😁21👏1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

15 Aug 2026, 15:06 UTC≈1,090 views7 reactionsread 18 August 2026
File

В новом Дайджесте СберУниверситета PRO.Людей есть важный тезис: поведение сотрудников меняют не тренинги, а микроэксперименты. Коуч Хлоэ Кристопулос и профессор Майкл Уоткинс из IMD пишут: «Типичная программа помогает участникам наметить зоны роста, осознать укоренившиеся модели поведения и привычки, но не помогает изменить их. Человек уезжает после обучения с пониманием, как „правильно“, но через пару недель возвра

2👍2🔥2💯1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

15 Aug 2026, 05:19 UTC≈1,030 views14 reactionsread 18 August 2026
Photo

Организатор мероприятия подтвердил мое выступление на форуме👆 Я только поржала, когда увидела, как меня назвали🤗 А ваше имя какие метаморфозы претерпевало в общении и переписке? У меня Лидия и Лилия путают давно, еще СпЕвак и СпИвак...

😁8🔥5👍1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

14 Aug 2026, 11:25 UTC≈1,010 views7 reactionsread 18 August 2026
Photo

Сегодня на РБК вышла моя статья про сторителлинг. Люблю этот инструмент - подробно расписала, как его можно использовать в выступлениях. Дала много примеров. Конечно, не обошлось и без сторителлинга😉 Статья: https://companies.rbc.ru/news/oJJXBa0SuK/pochemu-istorii-ubezhdayut-kak-storitelling-usilivaet-ekspertnost/

🔥3👍21🙏1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

14 Aug 2026, 07:34 UTC222 views8 reactionsread 18 August 2026
Photo

Сегодня хочу просто пригласить вас на свою ближайшую авторскую деловую игру по ответам на неудобные вопросы, словесные удары и хейт "Держи удар!" от 9️⃣ сентября И дарю промокод на скидку 20% - wow20 Ссылка: https://afisha.nethouse.ru/event/derjiudar Приходите! С меня - полезнейшие техники, классный нетворкинг ➕ угощения, включая игристое Prosecco 🍾

🔥42👍1💯1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

13 Aug 2026, 05:45 UTC≈1,100 views12 reactionsread 18 August 2026
Video

Спикеру важно тренировать красивую, устойчивую стойку — с опорой на обе ноги. И, как показывает опыт моих студентов, просто стоять на двух прямых ногах — не такая уж простая задача. Это навык, и его тоже нужно тренировать. Почему? Потому что постоянные переступания на месте, перенос центра тяжести с одной ноги на другую, покачивания из стороны в сторону создают ощущение суеты и неуверенности. Уверенный спикер умеет н

5👍3🔥2👏1🙏1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

12 Aug 2026, 05:11 UTC≈1,080 views10 reactionsread 18 August 2026
Photo

На РБК вышла моя очередная статья "Компания на фризе. Почему сотруднику не стоит замораживать свое развитие". Я убеждена, что корпоративный фриз — не повод ставить на паузу себя, и в период неопределенности особенно важно продолжать инвестировать в свои навыки Ссылка: https://companies.rbc.ru/news/YJIlxbYysy/kompaniya-na-frize-pochemu-sotrudniku-ne-stoit-zamorazhivat-svoe-razvitie/ --- Айда за мной в МАХ!

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Signed Лидия Спевак Тренер публичной речи @WOWLidiya

11 Aug 2026, 06:44 UTC≈1,160 views10 reactionsread 18 August 2026
Photo

Про встречные вопросы... У Карстена Бредемайера в книге «Искусство словесной атаки» есть интересная мысль о том, что встречные вопросы лучше исключить, если негативное высказывание касается: 🔹 вашей компетентности или имиджа; 🔹 вашей сферы деятельности или компании; 🔹 вашей личности и личных проблем. И вот с последним пунктом я особенно согласна. При личностных нападках я бы точно не уходила в «Что ты имеешь в виду?

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Signed Лидия Спевак Тренер публичной речи @WOWLidiya

10 Aug 2026, 10:26 UTC≈1,130 views8 reactionsread 18 August 2026
Photo

Джиган недавно в ответ на обвинения в том, что он толстый, написал в соцсетях: «Я не жирный, я сочный» Юмор - лучший способ отвечать на провокационные и каверзные вопросы, а также словесные удары! На официальном сайте Ирины Хакамады прямо сформулирован принцип: «Шутите! Любой неудобный вопрос, на который вы или не хотите отвечать, или не знаете, как отвечать, должен подвергаться юмору» Учиться шутить и использовать

👍3🔥21💯1😁1

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

10 Aug 2026, 04:42 UTC≈1,170 views11 reactionsread 18 August 2026
Photo

Когда я только начала знакомиться с коучингом и его принципами, у меня почему-то сложилось впечатление, что коуч – это такой немного блаженненький эксперт, который внимательно слушает, кивает головой и с придыханием, максимально осторожно и деликатно задает вопросы своему клиенту. И я даже пыталась быть таким коучем. Естественно, получалось так себе. Помню, как мой преподаватель Ольга Рыбина однажды сказала мне: «Л

6🔥3💯2

Signed Лидия Спевак Тренер публичной речи @WOWLidiya

Showing the 12 most recent of 27 posts we hold for @WOWLidiya. 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.

Posts edited after publishing

@WOWLidiya edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 35,388 of 1,549,704entries 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.

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

“WOW выступления с Лидией Спевак Ораторское” (@WOWLidiya), 13,058 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/WOWLidiya.

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.