Literature — 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 96% 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
15 measurements spanning 41 days, net -328. 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 7,435–7,861 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 13:02
7,484
-17
12 Sept 2026, 17:40
7,501
-31
8 Sept 2026, 22:01
7,532
-13
4 Sept 2026, 01:40
7,545
-51
31 Aug 2026, 05:54
7,596
-15
27 Aug 2026, 23:48
7,611
-4
25 Aug 2026, 00:34
7,615
-18
21 Aug 2026, 04:37
7,633
-75
17 Aug 2026, 19:37
7,708
-11
15 Aug 2026, 02:54
7,719
-13
12 Aug 2026, 04:47
7,732
-14
9 Aug 2026, 15:33
7,746
-60
7 Aug 2026, 02:08
7,806
-6
6 Aug 2026, 03:05
7,812
no change
6 Aug 2026, 02:33
7,812
first reading
Engagement
45 posts held, back to 20 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.83%
avg views ÷ 7,484 subscribers
Avg views / post
661
3 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
3
of 45 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
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
45 (20 July 2026 – 28 August 2026)
Views total
1,982
Reactions total
22
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 21:28 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
535 reactions across 42 posts, in 7 distinct kinds. The most used accounts for 52.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
281
52.5%
👏
115
21.5%
🔥
89
16.6%
👎
32
5.98%
👌
9
1.68%
🤔
5
0.935%
🤯
4
0.748%
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 45 of the 45 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 565 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 20 July 2026 to 28 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 45 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chesnakovbooks. 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 45 most recent posts we hold for this entry, published 20 July 2026 to 28 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.
⭐️⭐️ Брайан Кристиан. Бессовестная машина
О чем. Попытка посмотреть на то, как соотнести новый дивный мир ИИ и этические требования общества.
Структура.
3 части
Предсказание.
Агенты.
Нормативность.
Почему интересна. Можно определить и понять наиболее важные проблемы, которые стоят перед теми, кто считает, что ИИ необходимо научить учитывать моральные нормы и даже руководствоваться ими.
Для кого. Для изучающих ИИ.…
⭐️ Энтони Джеймс Грегор. Интеллектуалы Муссолини
О чем. Об интеллектуальной истории итальянского фашизма.
Структура.
10 глав
Почему интересна. Автор работы 2004 года описывает идейный вклад некоторых известных итальянских мыслителей (Коррадини, Рокко, Спирито и пр.) активно формировавших политическую атмосферу страны в 20-30-е годы XX века и оказавших существенное влияние на формирование фашистского режима.
Для к…
⭐️ Николай Вахтин. Язык
О чем. Краткий разбор понятия и всего того, что о нем нужно было бы знать новичку-гуманитарию.
Структура.
Введение.
Как мы представляем себе устройство языка.
Как мы используем язык.
Откуда взялся язык.
Заключение. Загадка языка.
Почему интересна. Краткое введение в проблематику изучения языка как феномена, эволюцию языка, исследовательских проблемах, особенностей использования и влияния на…
⭐️ Алекс Росс. Вагнеризм. Искусство и политика в тени музыки.
О чем. О влиянии Вагнера на культуру и власть.
Структура.
15 глав.
Прелюдия.
Золото Рейна.
Тристан-аккорд.
Рыцарь лебедя.
Храм Грааля.
Священное германское искусство.
Нибельхайм.
Венусберг.
Скала Брунгильды.
Волшебный огонь.
Нотунг.
Кольцо власти.
Летучий голландец.
Смерть Зигфрида.
Полет валькирий.
Рана.
Постлюдия.
Почему интересна. Невозможно понять е…
⭐️⭐️ Дюпон, Майер-Жауэн, Верде. Величие и Драма: история Ближнего Востока с XIX по XXIвек.
О чем. О том, что происходило на протяжении двух веков в одном из самых политически насыщенных событиями регионов мира.
Структура.
10 глав.
Ближний Восток около 1800 года.
Начало реформ на Ближнем Востоке (1774-1856).
Реформы в эпоху экономической экспансии Европы (1856-1882).
Имперская политика, конституционные революции, на…
⭐️⭐️ Эдуардо Инфанте, Кристина Масия. Бургер для Маркса
О чем. Введение в «гастрософию» и про отношение известных философов к еде.
Структура.
10 глав.
Пифагорейцы.
Платоники.
Аристотелевцы.
Эпикурейцы.
Философия христианского Средневековья.
Арабская и еврейская философия в Средние века.
Возрождение.
Скептики, рационалисты и эмпирики.
Кант.
Идеализм против материализма.
Почему интересна. Авторы в занимательной форм…
⭐️ Ральф Канерсман. Аутсайдер
О чем. Об особенностях появления и существования индивидов, думающих и поступающих не как все.
Структура.
7 глав
Своими именами.
На такой, как они.
Кольцо пустоты.
За стеной.
Мудрость на улицах.
Извне.
Что еще почитать.
Почему интересна. В обществе много общностей. Однако, порой нас интересуют те, кто создает ценности, не разделяемые (иногда до поры до времени) большинством. Автор это…
⭐️ Сергей Абашин. Кокандский поход
О чем. О том, как Россия пришла в Центральную Азию.
Структура.
7 глав
Российская империя и Коканд.
Casus belli.
Протекторат.
Восстание.
«Русская земля».
В составе Российской империи.
Помнить или забыть.
Почему интересна. О том, как интегрировалась в состав империи часть регионов, которая сегодня относится к территориям ряда государств Центральной Азии. Возможно, книга вызовет ряд…
⭐️ Кирсти Кинг. Язык лжи. Как распознать обман
О чем. О том как понять – врут вам или нет.
Структура.
4 главы
Как распознать ложь по словам.
Грамматика: как распознать ложь в мелочах.
Паравербалика: как распознать ложь по голосу.
Подготовка: как настроиться на лингвистической распознавание лжи.
Почему интересна. Автор – судебный эксперт-лингвист наглядно показывает маркеры, которые можно найти в речах лжецов. Пойм…
⭐️⭐️ Безопасность Российской империи: проблемы, дискурсы, практики в XVIII-XIXвеках.
О чем. Коллективная монография о том, как империя искала способы защитить себя в условиях новых социальных рисков, революций и больших игр.
Структура.
6 частей.
Понятия и представления.
Идеологии и идеи.
Сословное общество и реформы.
Надзор и наблюдение.
Развитие права и правовое сотрудничество.
Различия и периферии.
Послесловие. Н…
⭐️ Олег Воскобойников. Палимпсест
О чем. О том, как была устроена средневековая литература и культура.
Структура.
4 части
Время.
Мир.
Человек.
Ускользающая красота.
Почему интересна. Один из самых известных российских специалистов по истории средних веков, опираясь на свою многолетнюю работу с текстами, до него не переведенными на русский язык, предлагает посмотреть на то, как развивалосьсредневековое европейское …
⭐️ Дэн Хигс. Музеи жестокости
О чем. О том, как разграбили одно африканское королевство, сделали на этом огромный бизнес и сформировали представления о культуре.
Структура.
18 глав и 5 приложений.
Почему интересна. Археолог и куратор музея рассказывает о том, как колонизаторы обращались с культурным наследием захваченных африканских племен, превратили украденные ценности в товары и до сих пор используют все это дл…
👏11🤯1
Showing the 12 most recent of 45 posts we hold for @chesnakovbooks. 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
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 14 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.
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.
Книжный импорт @importknig · 35,312 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 2 September 2026
Глебсмит @glebsmith77 · 28,144 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 10 September 2026
Книжные Подборки @knizhnye_podborki · 22,154 Telegram ranks this channel #61 of 93 here — alongside 92 others — read 21 September 2026
ГосСовет 2.0 @GosSovet · 22,418 Telegram ranks this channel #68 of 98 here — alongside 97 others — read 20 September 2026
Политбюро 2.0 @politburo2 · 39,791 Telegram ranks this channel #79 of 95 here — alongside 94 others — read 30 August 2026
This channel appears in 5 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Чеснаков. Библиотека” (@chesnakovbooks), 7,484 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/chesnakovbooks.
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.