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Channel

Скворцов про выступления

@skvorum

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cross-platform identity · Referenced elsewhere · Cite this entry

7,537subscribers

-114 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001842909155
TypeChannel
Username@skvorum
DescriptionЭто канал Андрея Скворцова @AndrSkv ("Меркатор", BSSL, "погода НТВ") про публичные выступления, аргументацию, юмор и вообще бизнес-коммуникации. Устраняем преимущества природных харизматиков перед скромными людьми, которым есть, что сказать.
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held28
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/skvorum

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 the other topics.

Growth

7,4977,6517,5745 August 2026 — 7,651 subscribers6 August 2026 — 7,651 subscribers6 August 2026 — 7,649 subscribers9 August 2026 — 7,642 subscribers12 August 2026 — 7,627 subscribers16 August 2026 — 7,626 subscribers18 August 2026 — 7,622 subscribers21 August 2026 — 7,614 subscribers25 August 2026 — 7,611 subscribers27 August 2026 — 7,604 subscribers30 August 2026 — 7,591 subscribers2 September 2026 — 7,568 subscribers7 September 2026 — 7,551 subscribers12 September 2026 — 7,523 subscribers15 September 2026 — 7,535 subscribers28 September 2026 — 7,510 subscribers5 October 2026 — 7,497 subscribers11 October 2026 — 7,548 subscribers15 October 2026 — 7,563 subscribers18 October 2026 — 7,561 subscribers21 October 2026 — 7,568 subscribers24 October 2026 — 7,565 subscribers27 October 2026 — 7,558 subscribers30 October 2026 — 7,559 subscribers1 November 2026 — 7,562 subscribers5 November 2026 — 7,555 subscribers8 November 2026 — 7,542 subscribers12 November 2026 — 7,537 subscribers7,5375 August 202612 November 2026
28 measurements spanning 99 days, net -114. 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 7,474–7,674 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
12 Nov 2026, 14:487,537-5
8 Nov 2026, 07:007,542-13
5 Nov 2026, 08:297,555-7
1 Nov 2026, 21:067,562+3
30 Oct 2026, 00:057,559+1
27 Oct 2026, 07:417,558-7
24 Oct 2026, 15:267,565-3
21 Oct 2026, 08:067,568+7
18 Oct 2026, 09:297,561-2
15 Oct 2026, 06:397,563+15
11 Oct 2026, 23:217,548+51
5 Oct 2026, 15:027,497-13
28 Sept 2026, 08:017,510-25
15 Sept 2026, 08:417,535+12
12 Sept 2026, 00:197,523-28
7 Sept 2026, 08:167,551-17
2 Sept 2026, 15:597,568-23
30 Aug 2026, 12:077,591-13
27 Aug 2026, 21:487,604-7
25 Aug 2026, 02:187,611first reading

Engagement

38 posts held, back to 15 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 7,537 subscribers
Avg views / post
1,020
12 posts measured
Reaction rate
4.13%
reactions ÷ views · ER floor
Posts in window
12
of 38 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 7 November 2026
Posts held38 (15 June 2026 – 7 November 2026)
Views total12,247
Reactions total506
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 05:52 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
517
Videos
44
Links
480

Lifetime counters from Telegram’s own channel header, read 13 November 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
4m 49s
Average length
1m 12s

Measured directly from 4 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

1,293 reactions across 36 posts, in 17 distinct kinds. The most used accounts for 39.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤51539.8%
👍32825.4%
🔥32825.4%
😁443.40%
🎉382.94%
👏161.24%
💯90.696%
⚡30.232%
✍20.155%
😢20.155%
🥰20.155%
❤‍🔥10.077%
💘10.077%
💩10.077%
🤝10.077%
🤡10.077%
🦄10.077%

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 36 of the 38 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 1,293 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 15 June 2026 to 7 November 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
75
across the posts below
Posts paid on
36
of 37 we hold a reading for · 97%
Most on one post
17
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @skvorum. 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 38 most recent posts we hold for this entry, published 15 June 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 8 of 12 posts held from the last 30 days (66.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 14:18 UTC583 views25 reactions1 Starread 13 November 2026
Photo

Прочитал у друга-Вебера пост «экспертность или яйца?» (так и вижу его в подворотне, задающим этот вопрос с кривой ухмылочкой) Надеюсь, вы не пошли по ссылке и читаете дальше 🙂 Речь о том, что объективное-научно-экспертное — оно же и скучное (потому что «с одной стороны… с другой стороны…»), а интересное — это где есть позиция. В медиа это давно знают — Венедиктов-иноагент тому учил ещё лет 15 назад. Особо остро в…

👍11🔥9❤3😁2

3 Nov 2026, 14:00 UTC923 views35 reactions1 Starread 13 November 2026
Photo

Иногда проблема — это просто проблема Когда мы делаем корпоративный фильм, то объясняем заказчику: фильм должен решать проблему! И очень часто слышим: «Пожалуйста, не говорите слова "проблема"! В нулевые, по моим наблюдениям, слова пугались процентов 90 заказчиков. Сейчас — примерно 30 Но вот история о том, куда может завести корп-нелюбовь к словам. В 2008 году General Motors учила сотрудников правильно назват…

🔥15👍9❤8💯3

3 Nov 2026, 10:53 UTC740 views43 reactions1 Starread 13 November 2026
Photo

Каникулы! У меня есть традиция, которой уже несколько лет — в самый разгар сезона, когда тренинги и выступления почти каждый день — хотя бы на несколько дней, а лучше на неделю устраивать перерыв на небольшое путешествие с семьей! Так что вот, вместо бесконечных постов о том, где я там выступаю — три фотографии: мы с дочерью залезли на гору (гора за спиной), и пещерная река Лабуиш (где можно плавать на лодках, что…

❤25🔥12👍6

30 Oct 2026, 04:59 UTC≈1,000 views54 reactions1 Starread 13 November 2026
Photo

Отзыв Михаила Иванова (со-основатель "Манн, Иванов и Фербер" (МИФ), основатель и лидер SmartReading ) Михаил принимал участие в наших дебатах, а после — представляете, подходит и просит подписать ему мою книгу! Мало того, он её прочитал и написал отзыв в своём канале (обязательно подпишитесь, прекрасный личный предпринимательский канал) Цитата (взгляд издателя на качество содержания): На мой взгляд, она ничем не…

👍24❤17🔥13

29 Oct 2026, 09:33 UTC≈1,000 views37 reactions1 Starread 13 November 2026
Photo

Впечатления от дебатов В прошлую пятницу на БЧО я модерировал дебаты (3 шт!), и готовил для них некоторых спикеров Вот впечатления 1️⃣ Формат прекрасен! 🔘Участникам приходится готовиться, 🔘тезис определен заранее и слушателям не надо гадать, к чему эти речи 🔘компактно (пять минут на выступление) 🔘постоянная смена активностей (ритм 1-5-10 минут), и, конечно, 🔘соревновательный эффект с элементами неожиданности.…

👍15❤11🔥11

23 Oct 2026, 04:51 UTC≈1,320 views28 reactions1 Starread 13 November 2026
Photo

..это анонс встречи, которая уже прошла! (но будет запись) Сегодня (23 октября) я модерирую дебаты (аж три штуки!) на "Больше, чем обучение" в СберУнивере! Трансляция будет (и запись потом тоже) — без регистраций, просто нажимайте и смотрите (надо выбрать второй трек). Подготовку некоторых участников я видел, и скажу вам — это будут очень яркие и содержательные выступления. В других тоже не сомневаюсь! Форма…

❤12👍9🔥7

20 Oct 2026, 09:24 UTC≈1,050 views13 reactions1 Starread 13 November 2026
Photo

...это анонс встречи, которая уже прошла! Привет! Лена Гришнева и Андрей Вебер затеяли баттл (онлайн), а меня позвали это дело модерировать (бесплатно, онлайн, с регистрацией, 21 октября, 19.00 (МСК), онлайн) Тема: Спикерство - это предпринимательство или хобби за деньги? Позиции: Вебер топит за предпринимательство. Если вы хотите зарабатывать на сцене, придётся изучать рынок, выбирать клиента, собирать продукт…

🔥6❤5👍2

19 Oct 2026, 06:52 UTC≈1,190 views40 reactions1 Starread 13 November 2026
Photo

Обучил избранных — разрушил связи. Обучил всех — усилил! Свежая публикация в Nature, эксперимент: 110 деревень в Гондурасе, 8331 человек, 22 месяца обучения. Жителей учили вопросам здоровья. Для прикола эксперимента в одних деревнях обучали 5–30% семей, в других — 50–100%. Оказалось, что в деревнях, где обучили 5-30%, количество социальных связей сократилось на 6,36% — люди реже обращались к другим за советами — …

❤18👍11🔥10❤‍🔥1

18 Oct 2026, 10:09 UTC≈1,320 views56 reactions2 Starsread 13 November 2026
Video

Извините, но мне кажется, это пока лучшее :)

😁40🔥10❤4💯2

17 Oct 2026, 08:30 UTC≈1,090 views156 reactions17 Starsread 13 November 2026
Photo

ДР! Как всегда: лайк это поздравление, комментарий — подарок! :) (...если кто-то захочет сделать супер-подарок, можно написать любой отзыв на книгу (если вы читали), например сюда, или в комментарии опять же ) ...Мой день рождения расположился в самое любимое время года — осень, когда движ, события, интересное каждый день, желтые листья, и вообще не до рефлексии. Так происходит все 54 года (насколько я помню), и…

❤98🎉37👍15🔥6

16 Oct 2026, 18:59 UTC≈1,130 views12 reactions1 Starread 13 November 2026
Forwarded from @profnazarovPhoto

11 лет назад «Интер РАО» получила «Серебряного дельфина» за лучший корпоративный ролик на фестивале CANNES CORPORATE MEDIA & TV AWARDS в главной категории «Marketing Communications». Тогда за звание лучших боролись 772 работы, присланные со всех континентов. И победили мы! Этот ролик мы сделали с бренд-менеджером «Интер РАО» Еленой Болдиной и потрясающей командой из «Меркатора» во главе с Андреем Скворцовым и Катер…

❤6👍6

16 Oct 2026, 18:59 UTC901 views7 reactions1 Starread 13 November 2026

Антон Назаров вспомнил, что 11 лет назад мы и вправду получили серебряного каннского дельфина, ролик в самом деле чудесный, и сегодня смотрится круто! Без всяких нейронок делали, на чистом силиконе! ) ...хотя сегодня я бы его ускорил раза в 1,5, да.

👍6💩1

Showing the 12 most recent of 38 posts we hold for @skvorum. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 10 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.

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.

Король Говорит! Ораторское
@korolgovorit_school · 24,299
Telegram ranks this channel #20 of 94 here — alongside 93 others — read 17 September 2026
Лидерская позиция | Андрей Шапенко
@leadership_position · 27,495
Telegram ranks this channel #48 of 98 here — alongside 97 others — read 11 September 2026
СберУниверситет
@sber_university · 24,307
Telegram ranks this channel #82 of 100 here — alongside 99 others — read 17 September 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

Q124768896 on Wikidata, read 8 November 2026
LabelNo label recorded on this Wikidata item

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Скворцов, Андрей Александрович (ru.wikipedia.org)
“…мастерства. Автор телеграм канала "Скворцов про выступления" (http://t.me/skvorum) == Биография == Андрей Скворцов родился [[17 октября]] [[1972…”
read 13 September 2026

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

“Скворцов про выступления” (@skvorum), 7,537 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/skvorum.

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.