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Channel

Курсы ораторского мастерства Екатерины Шарковой

@govorikrasivo

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

1,044subscribers

-5 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-1001670251666
TypeChannel
Username@govorikrasivo
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/govorikrasivo

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 19 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,0441,0501,0477 August 2026 — 1,049 subscribers7 August 2026 — 1,049 subscribers10 August 2026 — 1,050 subscribers16 August 2026 — 1,049 subscribers19 August 2026 — 1,050 subscribers22 August 2026 — 1,048 subscribers25 August 2026 — 1,049 subscribers29 August 2026 — 1,048 subscribers31 August 2026 — 1,047 subscribers9 September 2026 — 1,046 subscribers17 September 2026 — 1,044 subscribers7 August 202617 September 2026
11 measurements spanning 41 days, net -5. 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 1,043–1,051 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 02:581,044-2
9 Sept 2026, 15:391,046-1
31 Aug 2026, 17:551,047-1
29 Aug 2026, 01:581,048-1
25 Aug 2026, 17:521,049+1
22 Aug 2026, 17:541,048-2
19 Aug 2026, 15:411,050+1
16 Aug 2026, 20:431,049-1
10 Aug 2026, 11:451,050+1
7 Aug 2026, 07:311,049no change
7 Aug 2026, 07:281,049first reading

Engagement

10 posts held, back to 26 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

40 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 30.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1230.0%
1127.5%
👍922.5%
🤝37.50%
❤‍🔥12.50%
👏12.50%
💯12.50%
🙏12.50%
🤣12.50%

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 10 of the 10 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 26 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, 14:14 UTC30 views1 reactionsread 7 August 2026
Photo

Подборка цитат про ораторское искусство, сохраняйте) вдруг пригодится

🔥1

Signed Екатерина Shark

3 Aug 2026, 10:31 UTC54 views6 reactionsread 7 August 2026
Photo

«Купи хлеб. Рис. Малышку заберёшь из садика?» Вот весь ваш спикерский опыт за последние лет пять. Ну, плюс рабочие переписки — но там тоже максимум три слова. А потом вы выходите на совещание к директору и пытаетесь за минуту объяснить проект, над которым работали полгода. Мозг скрипит. Потому что он привык к "хлебу и рису", а не к длинным конструкциям. Речь — это мышца. Если вы пять лет разговаривали только на у

👍3🔥21

Signed Екатерина Shark

24 Jul 2026, 11:40 UTC99 views1 reactionsread 7 August 2026
Photo

Книга 21 «Самолёт без неё» — Мишель Бюсси 1980 год. Самолёт Стамбул — Париж врезается в гору. Все погибают. Кроме одного трёхмесячного младенца. Проблема в том, что на борту было двое таких младенцев. Две семьи. Две девочки примерно одного возраста. И теперь никто не знает, которая из них выжила. Богатая семья и бедная семья оспаривают ребёнка друг у друга. Суды, ДНК, свидетели — ничего не решает. Частный сыщик б

👏1

Signed Екатерина Shark

17 Jul 2026, 05:33 UTC128 views1 reactionsread 7 August 2026
Photo

Книга 20 «Вызовите акушерку» — Дженнифер Уорф Лондон, 1950-е. Ист-Энд — беднейший район города. Следы войны на стенах, перенаселённые многоквартирки, запах нищеты в каждом подъезде. Молодая Дженни приходит сюда работать акушеркой при монашеской общине. Она не знает, что её ждёт: 🔹Семьи с двадцатью пятью детьми. 🔹Роды в комнатах без горячей воды. 🔹Женщины, которые рожают в одиночку — потому что так было всегда, и и

1

Signed Екатерина Shark

16 Jul 2026, 10:36 UTC104 views8 reactionsread 7 August 2026
Forwarded from @silastories

Posted without readable text

🔥41👍1💯1🤝1

Signed Екатерина Shark

16 Jul 2026, 06:47 UTC102 views1 reactionsread 7 August 2026
Photo

Photo, posted without a caption

🤣1

Signed Екатерина Shark

14 Jul 2026, 15:04 UTC106 views4 reactionsread 7 August 2026
Photo

Вчера у меня был диалог с коллегой из Москвы и она у меня спрашивала мнение о различных тренерах по публичным выступлениям, о блогерах, о школах в этой сфере. И спросила меня про определенный видеокурс. Несмотря на мое положительное мнение об авторе курса, своей коллеге я не могла порекомендовать пройти видеокурс! Это тоже самое как с вопросом «а какую книгу почитать для того чтобы прокачаться в ораторстве» да ника

👍3🔥1

Signed Екатерина Shark

10 Jul 2026, 05:10 UTC110 views5 reactionsread 7 August 2026
Photo

Книга 19 «Любимчик Эпохи» — Катя Качур Два родных брата, но такие разные. Родиона любили за ум, характер, поступки. Его младшего брата Илюшу — просто так. От Родиона ждали, Илюшу хотели спасти, накормить, приласкать. Когда Илюше было семь, его выкрала соседка полоумная старуха. Подержала несколько дней и отпустила. Казалось бы — всё, забыли, жизнь пошла дальше. Это история о братьях, которые всю жизнь любили и нен

2❤‍🔥1👍1🔥1

Signed Екатерина Shark

3 Jul 2026, 10:45 UTC131 views5 reactionsread 7 August 2026
Photo

Книга 18 «Моя последняя ложь» — Райли Сейгер «Две правды и одна ложь». В летнем лагере девочки играли в эту каждый вечер. Эмма была самой младшей. Смотрела на своих соседок по коттеджу снизу вверх. Вивиан, Натали, Эллисон. А потом однажды ранним утром все трое тихо вышли из коттеджа. И не вернулись. Их не нашли. Пятнадцать лет спустя Эмма — художница. Пишет одно и то же: тёмные ветки, узловатые сучья, мрачные узор

2🤝2🔥1

Signed Екатерина Shark

26 Jun 2026, 14:04 UTC135 views8 reactionsread 7 August 2026
Photo

После просмотра фильма байопика «Майкл», я сразу начала читать его биографию. Читать книгу я еще не закончила, но сегодня моя лента полна воспоминаниями о Майкле Джексоне, потому что именно в этот день 17 лет назад его не стало. Успев «познакомиться» с Майклом через фильм и книгу, я подумала, как же все таки влияют СМИ на сознания людей. Я помню в 2000-х, как на каждом повороте говорили что он сумасшедший, нетра

4🔥2👍1🙏1

Signed Екатерина Shark

Showing the 10 most recent of 10 posts we hold for @govorikrasivo. 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

Эффективный человек
@effective_official · 44,159
Telegram ranks this channel #21 of 85 here — alongside 84 others — read 28 August 2026
Культура речи
@kulture_rechi · 23,518
Telegram ranks this channel #23 of 68 here — alongside 67 others — read 18 September 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Курсы ораторского мастерства Екатерины Шарковой” (@govorikrasivo), 1,044 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/govorikrasivo.

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.