Переходите к упражнению #КорректурнаяПроба, которое поможет повысить концентрацию внимания 👀 🎯 Задача: найдите и посчитайте как можно быстрее все облака с молнией из образца.
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Channel
@books_and_trainings
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
29,774subscribers
-229 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001668461636 |
|---|---|
| Type | Channel |
| Username | @books_and_trainings |
| Description | Ежедневно: - мы выкладываем одну короткую разминку для мозга - вы тренируетесь - на этом разгоне проходите свои курсы, учитесь и работаете. Регистрация в РКН: https://knd.gov.ru/license?id=6745de6ad793bc0b0b6d6e13®istryType=bloggersPermission |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 57 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/books_and_trainings |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 14:07 | 29,774 | -14 |
| 5 Nov 2026, 12:27 | 29,788 | +5 |
| 4 Nov 2026, 10:36 | 29,783 | +1 |
| 3 Nov 2026, 13:29 | 29,782 | +7 |
| 2 Nov 2026, 12:21 | 29,775 | -4 |
| 1 Nov 2026, 12:30 | 29,779 | -10 |
| 31 Oct 2026, 15:27 | 29,789 | -5 |
| 30 Oct 2026, 15:56 | 29,794 | +3 |
| 29 Oct 2026, 18:48 | 29,791 | -5 |
| 28 Oct 2026, 22:11 | 29,796 | -9 |
| 27 Oct 2026, 20:08 | 29,805 | -2 |
| 26 Oct 2026, 21:18 | 29,807 | -1 |
| 25 Oct 2026, 22:27 | 29,808 | -4 |
| 24 Oct 2026, 22:11 | 29,812 | -2 |
| 23 Oct 2026, 23:16 | 29,814 | -7 |
| 23 Oct 2026, 01:21 | 29,821 | +5 |
| 22 Oct 2026, 01:28 | 29,816 | +2 |
| 20 Oct 2026, 19:00 | 29,814 | -3 |
| 19 Oct 2026, 21:45 | 29,817 | +1 |
| 18 Oct 2026, 21:36 | 29,816 | first reading |
202 posts held, back to 28 July 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 155 pages of Telegram’s post history, 20 posts per page.
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. It is computed over the 62 of 65 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 202 (28 July 2026 – 6 November 2026) |
| Views total | 64,709 |
| Reactions total | 1,184 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 23:46 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.
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Measured directly from 6 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.
4,047 reactions across 198 posts, in 24 distinct kinds. The most used accounts for 52.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,133 | 52.7% | |
| ❤ | 1,058 | 26.1% | |
| 🔥 | 564 | 13.9% | |
| 👏 | 69 | 1.70% | |
| 🥰 | 56 | 1.38% | |
| 👀 | 49 | 1.21% | |
| 😁 | 38 | 0.939% | |
| 🤔 | 28 | 0.692% | |
| ❤🔥 | 13 | 0.321% | |
| ⚡ | 11 | 0.272% | |
| 💯 | 6 | 0.148% | |
| 🙏 | 3 | 0.074% | |
| 🤓 | 3 | 0.074% | |
| 🤩 | 3 | 0.074% | |
| 🤝 | 2 | 0.049% | |
| 🤪 | 2 | 0.049% | |
| 🤯 | 2 | 0.049% | |
| 🌚 | 1 | 0.025% | |
| 💘 | 1 | 0.025% | |
| 🗿 | 1 | 0.025% | |
| 4 further kinds | 4 | 0.099% |
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 198 of the 202 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 4,047 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 202 most recent posts we hold, published 28 July 2026 to 6 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’s own ‘edited’ marker: 0 of 65 posts held from the last 30 days (0%) 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).
Переходите к упражнению #КорректурнаяПроба, которое поможет повысить концентрацию внимания 👀 🎯 Задача: найдите и посчитайте как можно быстрее все облака с молнией из образца.
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Доброе утро! ☀️ Время потренировать скорочтение с помощью упражнения #Анаграмма. Напомним, что анаграммы — это слова с перепутанными буквами. Расшифровывание анаграмм развивает способность предугадывать и мгновенно читать текст, а ещё увеличивает скорость чтения про себя. 🎯 Задача: прочитайте текст с перепутанными буквами. По рзуельттаам ислседонваия, мркаемраи нбелагопоулчонго ссотоняия упсешонго шокльинка ялвятю…
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▪️1️⃣2️⃣3️⃣4️⃣5️⃣ Тема сегодня: «Как подготовиться к ОГЭ по математике на паттернах и без зубрёжки» Присоединяйтесь! Мы начинаем⚡️ 👉 ПРИСОЕДИНИТЬСЯ
А теперь упражнение #СловаЗадомНаперёд, которое хорошо тренирует когнитивные функции 🧠 🎯 Задача: произнесите заданные слова задом-наперёд. Чтобы усложнить задачу, попробуйте не смотреть на слово, а переворачивать его в голове. гантель нездоровый размежеваться купать монархизм ректорат
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Доброе утро! 👋 #ПальчиковаяГимнастика — простой и эффективный способ подготовить мозг к интеллектуальной работе, снять нервное напряжение и развить мелкую моторику.
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А теперь у вас есть возможность почувствовать себя в роли главного редактора журнала. Вам нужно выпускать журнал, но один из листов с текстом попал в шредер. Нужно восстановить текст, чтобы выпуск вышел вовремя ⏲️ Такое упражнение задействует память, внимание и мышление. А ещё совершенствуется навык смыслового чтения и формирования смысловых связей 🧠 🎯 Задача: расставьте предложения по порядку. Напишите в комментар…
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⚡️ Чёрная пятница Advance стартует 9 ноября! Скидки до 80% на курсы, к которым вы давно присматриваетесь Раз в год собираем такое предложение на обучение для детей и взрослых. В этот раз – с 9 по 15 ноября. Для школьников – программы «Учись учиться»: от первых шагов в чтении до самостоятельной работы с большими темами. Для взрослых – память и внимание, эффективное чтение и работа с информацией. Для английского – на…
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Начните тренировку с упражнения #ТаблицаШульте. Оно развивает память и умение концентрироваться 👀 🎯 Задача: удерживая взгляд в центре таблицы, найдите римские числа от 1 до 25.
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А теперь задача на логику! 🎯 Задача: переложите 3 спички так, чтобы получилось 3 квадрата. Полезные головоломки для мозга 🧠
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🪫 «Позаниматься ещё» – слишком широкий план, когда у ребёнка каждый раз разные затруднения. Сначала стоит выяснить, что уже получается самостоятельно, а что пока держится на подсказках. Одному ученику нужно вернуться к дробям, прежде чем разбирать уравнения. Другому – научиться внимательно читать условие. Третьему – проверять ход решения и замечать вычислительные ошибки. Одинаковое число занятий не означает одинаков…
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Доброе ноябрьское утро 🌄 Всем, кто работает, желаем лёгкого дня. А проснуться поможет эта тренировка ☕️ Как написать единицу тремя пятерками? Пишите ваши варианты в комментариях 👇 Полезные головоломки для мозга 🧠
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А теперь упражнение #Судоку, которое заставляет работать левое полушарие и задействует те части мозга, которые не всегда используются в повседневной жизни. 🎯 Задача: заполните пустые клетки так, чтобы ни одна картинка не повторялась в строках и столбцах большого квадрата. В каждом из четырёх маленьких квадратов тоже не должно быть одинаковых картинок.
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Showing the 12 most recent of 202 posts we hold for @books_and_trainings. 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Проходим курсы, читаем книги, тренинги и спорт” (@books_and_trainings), 29,774 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/books_and_trainings.
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.