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Channel

Издательство LIVREZON

@livrezon

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

428subscribers

-2 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-1001672349054
TypeChannel
Username@livrezon
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live23 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/livrezon

Growth

4284304297 August 2026 — 430 subscribers8 August 2026 — 430 subscribers23 August 2026 — 428 subscribers7 August 202623 August 2026
3 measurements spanning 16 days, net -2. 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 428–430 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 11:08428-2
8 Aug 2026, 05:18430no change
7 Aug 2026, 19:24430first reading

Engagement

13 posts held, back to 15 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
43.4%
avg views ÷ 428 subscribers
Avg views / post
186
5 posts measured
Reaction rate
12.3%
reactions ÷ views · ER floor
Posts in window
5
of 13 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 3 August 2026
Posts held13 (15 June 20263 August 2026)
Views total928
Reactions total114
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:18 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.

Reaction mix

255 reactions across 12 posts, in 11 distinct kinds. The most used accounts for 56.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥14356.1%
👍4116.1%
239.02%
👏145.49%
😁135.10%
🤔93.53%
🤯41.57%
31.18%
👨‍💻20.784%
🥰20.784%
👎10.392%

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 13 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 255reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 15 June 2026 to 3 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

3 Aug 2026, 10:13 UTC169 views35 reactionsread 8 August 2026
Photo

Пришло время давать ответы! Наиболее подробный и верный комментарий к примерам оставил @nalgiev — обязательно прочитайте его в обсуждении к посту. А вот наша версия. 1. В первом тексте Дж. Браун предлагает «объединяться во время кризиса». Как говорит наш автор Аркадий Шушпанов, «это и ежу понятно». Такое решение — слишком поверхностное. Как объединяться, с кем лучше объединяться и на каких условиях — ответов на эти

🔥27👍6🤔2

3 Aug 2026, 09:56 UTC132 views13 reactionsread 8 August 2026
Photo

ВЫ РАСКУПИЛИ, МЫ НАПЕЧАТАЛИ ЕЩЁ: новый тираж «Принципов научного менеджмента» лежит на складе и ожидает своих читателей. Этот экземпляр дополнит вашу умную библиотеку и, возможно, станет настольной книгой. А если вы уже счастливый обладатель классики менеджерской науки, тогда закажите книгу в подарок — отличный вариант для предпринимателей, управленцев и бизнес-консультантов! Чтобы заказать, напишите нам на @livrez

🔥8👍3👨‍💻2

31 Jul 2026, 14:46 UTC195 views24 reactionsread 8 August 2026
Photo

ВЫШЛО ИЗ ПЕЧАТИ: книгу профессора В. П. Борисенко «Сборник педагогических техник. Том 1. Управление вниманием студентов» теперь можно прочесть и в печатном формате! Твёрдый переплет, 256 страниц с таблицами и иллюстрациями. Стоимость: 2 000 рублей + 450 рублей доставка по РФ и РБ. Чтобы заказать, напишите нам на @livrezon_work или в магазине ВКонтакте. О чём книга? У студентов быстро рассеивается внимание, они не

🔥17👍43

31 Jul 2026, 06:55 UTC178 views15 reactionsread 8 August 2026
Photo

👀 А помните такой формат? Напишите в комментариях, какие сюжеты можно было бы воплотить в таких комиксах 👇🏻

🔥7👍6🥰2

30 Jul 2026, 10:44 UTC254 views27 reactionsread 8 August 2026
Photo

Внимание, знатоки! Мы предлагаем вам поиграть в исследователей и определить, какие из следующих примеров — фактурные, а какие дают читателю ложное представление о вопросе. Ваша задача — внимательно прочитать три следующих отрывка и написать в комментариях своё заключение: если пример фактурный, вам нужно выделить фактурную связку; если нет — написать, почему. 1. Фрагмент из книги Дж. Брауна «Семь элементов, которые

👍11🔥114😁1

13 Jul 2026, 19:14 UTC352 views28 reactionsread 8 August 2026

Также мы ещё раз обновили книгу профессора-экспериментатора В.П. Борисенко, пока готовили её к печати: выровняли стиль, оформление разделов, загрузили новые смысловые схемы и расширили список литературы. (И удовлетворили всех любителей буквы ё в текстах :)) И, конечно, сменили название. Теперь это официально первый том. Он уже в типографии, а второй том готовится к выпуску этим летом. Подпишитесь, чтобы не пропустит

🔥18👏6🤔3👎1

9 Jul 2026, 09:00 UTC468 views44 reactionsread 8 August 2026
Photo

Читатели, у нас важное обновление. В книгу «ОНА вне шаблона», над которой мы работаем много лет, добавлена новая часть — Часть III. «Управление компетенциями». Теперь весь алгоритм по освоению новых навыков для профессионалок — первой до последней ступени — собран воедино. Напомним, о чём идёт речь. Клуб @vne_shablona пишет книгу для профессионалок, которые хотят не просто «стать лучше», а управлять своим развитием

🔥2312👏81

21 Jun 2026, 10:45 UTC421 views14 reactionsread 8 August 2026
Video message

Video message, posted without a caption

😁6🔥521

21 Jun 2026, 10:45 UTC407 viewsread 8 August 2026

Второй день конференции. Обсуждаем стратегии продвижения авторов. А вы бы согласились на стажировку у главреда?

20 Jun 2026, 10:16 UTC423 views22 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🔥13👍5🤯4

20 Jun 2026, 10:16 UTC368 views1 reactionsread 8 August 2026

Мы перешли ко второму мастер-классу — «Системный анализ v. 3.0». (Первый мастер-класс не снимали по этическим соображениям 😏)

1

18 Jun 2026, 18:49 UTC356 views22 reactionsread 8 August 2026
Photo

Мы спросили главреда, запишет ли он мастер-классы с субботней конференции в формате лекций — например, для нашего КОНЦЕНТРАТОРа. Ответ был таков: «Не раньше, чем через пару лет...» И действительно, зачем терять время, если можно получить эксклюзивные материалы уже сейчас? Напомним, все мастер-классы в эту субботу Анатолий Рыжачков будет читать ВПЕРВЫЕ. Вот они: 1. Теория классификации типов личности 2. Системный ан

🔥12😁6🤔4

Showing the 12 most recent of 13 posts we hold for @livrezon. 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 — 871,726 of 1,621,754entries 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.

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

“Издательство LIVREZON” (@livrezon), 428 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/livrezon.

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.