Что поможет понять роман «Доктор Живаго»? [продолжение поста, а то не влезло] #живаго #материалы
custom 523372312113500443837custom 53372583329168261081

Channel
@eka_book
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,015subscribers
+50 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002647090057 |
|---|---|
| Type | Channel |
| Username | @eka_book |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 2 times, most recently 3 November 2026 |
| On Telegram | t.me/eka_book |
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 16 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Oct 2026, 22:56 | 2,015 | -6 |
| 26 Oct 2026, 09:46 | 2,021 | +3 |
| 23 Oct 2026, 05:21 | 2,018 | -2 |
| 20 Oct 2026, 15:09 | 2,020 | -1 |
| 17 Oct 2026, 23:17 | 2,021 | -4 |
| 14 Oct 2026, 15:30 | 2,025 | +2 |
| 11 Oct 2026, 15:00 | 2,023 | +3 |
| 5 Oct 2026, 12:00 | 2,020 | +5 |
| 27 Sept 2026, 13:38 | 2,015 | -7 |
| 15 Sept 2026, 08:18 | 2,022 | +6 |
| 11 Sept 2026, 12:19 | 2,016 | -1 |
| 6 Sept 2026, 22:02 | 2,017 | -5 |
| 2 Sept 2026, 10:25 | 2,022 | -2 |
| 30 Aug 2026, 12:42 | 2,024 | -3 |
| 27 Aug 2026, 22:24 | 2,027 | +6 |
| 24 Aug 2026, 13:36 | 2,021 | +15 |
| 21 Aug 2026, 00:45 | 2,006 | -2 |
| 17 Aug 2026, 14:14 | 2,008 | +6 |
| 14 Aug 2026, 14:36 | 2,002 | +13 |
| 11 Aug 2026, 15:55 | 1,989 | first reading |
5 posts held, back to 2 August 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 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 5 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
218 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 49.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5233723121135004438 | 108 | 49.5% | |
| custom 5337258332916826108 | 89 | 40.8% | |
| custom 5375135722514685501 | 13 | 5.96% | |
| custom 5287729122246670016 | 8 | 3.67% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 5 of the 5 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 218 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 2 August 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.
Что поможет понять роман «Доктор Живаго»? [продолжение поста, а то не влезло] #живаго #материалы
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ДОКТОР ЖИВАГО Борис Пастернак 🎄🎄🎄🎄🎄 Количество страниц: 516 Определенно рекомендую, но надо запастись ВСЕМ - терпением, временем, знаниями и бумагой для заметок 😅🤝 Как обычно, все мои мысли на слайдах🤩 #отзыв #пастернак #живаго
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🌫️Готовлюсь к учебному году в 6ом классе Я писала уже, что ближе к 30ти во мне проснулась тяга к изучению истории и истории России в частности 🤩 Отчасти, этому способствовал, кстати, роман «Доктор Живаго», за что Пастернаку огромное спасибо Так вот. Начала я с этих самых лекций от Интроверта, которые есть у них в доступе. Естественно, на эту тему начала разговаривать со своими клиентами на тренировках, а ходит зани…
custom 533725833291682610830custom 537513572251468550113
🌫️Делюсь своими планами на август месяц🌫️ Настроения отдыхательные, не хочется тяжелой прозы сейчас абсолютно. Будем разгружать голову триллерами и неспешным чтением эпоса и биографии. А еще я походу заболела…
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🤩🤩🤩🤩🤩🤩🤩🤩🤩 неутешительные🤭 Прочитан только «Доктор Живаго», отзыв на который я так и не написала ЗАТО: 🤩Проведено много дней с семьей; 🤩Посещен качковский корпоратив и съедено 1/2 арбуза; 🤩Поплакано над «Одиссей» Нолана дважды! 🤩Проведено около 120 тренировок 🤩Своих тренировок сделано 23 🤩Попато [такого слова нет, да?] под дождь около 4х раз Лето, оно такое, моё)
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Showing the 5 most recent of 5 posts we hold for @eka_book. 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.
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 31 October 2026 — this entry's latest reading, not the date you are reading this.
“читаю отмечаю” (@eka_book), 2,015 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/eka_book.
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.