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Channel

Литературное путешествие📚

@Literary_journey

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

964subscribers

-68 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-1002390068061
TypeChannel
Username@Literary_journey
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live4 October 2026
Measurements held13
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/Literary_journey

Topic

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 19 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 why it has no browse page of its own yet.

Growth

9641,0329987 August 2026 — 1,032 subscribers8 August 2026 — 1,032 subscribers11 August 2026 — 1,025 subscribers14 August 2026 — 1,019 subscribers17 August 2026 — 1,016 subscribers20 August 2026 — 1,013 subscribers23 August 2026 — 1,010 subscribers26 August 2026 — 1,008 subscribers30 August 2026 — 1,003 subscribers2 September 2026 — 995 subscribers11 September 2026 — 983 subscribers19 September 2026 — 975 subscribers4 October 2026 — 964 subscribers7 August 20264 October 2026
13 measurements spanning 57 days, net -68. 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 954–1,042 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 02:17964-11
19 Sept 2026, 12:20975-8
11 Sept 2026, 16:40983-12
2 Sept 2026, 04:02995-8
30 Aug 2026, 02:471,003-5
26 Aug 2026, 20:471,008-2
23 Aug 2026, 21:161,010-3
20 Aug 2026, 05:181,013-3
17 Aug 2026, 11:341,016-3
14 Aug 2026, 07:051,019-6
11 Aug 2026, 00:151,025-7
8 Aug 2026, 00:211,032no change
7 Aug 2026, 18:131,032first reading

Engagement

5 posts held, back to 24 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 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

59 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 66.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3966.1%
🔥1728.8%
👍35.08%

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 59 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 24 June 2026 to 7 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

7 Aug 2026, 16:55 UTC48 views4 reactionsread 8 August 2026
Photo

Можно подумать, что это скучная книга про любовь, но это самая жестокая семейная сага, которую я читала. Прочтена вторая книга Анатолия Иванова, и она абсолютно не похожа на «Вечный зов». Мне понравился нелинейный стиль: Иванов перескакивает между временами, будто герой проваливается в воспоминание, но линии легко переплетаются. Его романы пропитаны любовью к Родине и описанием быта сибирской деревни. Почти у каждо…

❤4

19 Jul 2026, 08:26 UTC172 views11 reactionsread 8 August 2026
Photo

Июнь начался с возвращения к русской классике. На очереди была 2-ая из 3-х книг Гончарова «Обыкновенная история». Были небольшие опасения, что она окажется тоже местами скучноватой, но постепенно они рассеялись. Сама книга рассказывает о молодом, восторженном романтике, который попадет в непривычную ему среду, к дяде , который является полной противоположностью племянника. Гончаров захватывает описанием столкновени…

🔥6❤5

17 Jul 2026, 06:17 UTC156 views19 reactionsread 8 August 2026
Photo

2026 год у меня - год сибирской деревни «Тени исчезают в полдень» А. Иванова - уже третий роман, где описывается тяжелое время в истории нашей страны сквозь призму жизни таежных людей. И еще одна книга на нашей полке Анатолия Иванова. «Вечный зов» Анатолия Иванова - грандиозная эпопея о тяжелой судьбе нескольких поколений одной семьи - от дореволюционных лет до послевоенного периода. «Угрюм-река» В.Я. Шишкова нем…

❤10🔥6👍3

6 Jul 2026, 10:53 UTC220 views11 reactionsread 8 August 2026
Photo

«Отель» Артур Хейли Это идеальная книга для отпуска или уютного вечера. Роман захватывает с первых страниц, погружая в бешеную атмосферу гостиничного мира. Отель терпит крушение привычных устоев и находится на грани разорения. Артур Хейли — мастер производственного романа. Его изюминка — скрупулёзное, почти документальное описание профессиональной среды, в которую он искусно вплетает человеческие судьбы: любовные л…

❤6🔥5

24 Jun 2026, 16:42 UTC248 views14 reactionsread 8 August 2026
Photo

Осенью мы побывали в Тамани, где когда-то бывал Лермонтов и даже посвятил рассказ в повести Печорина. В этом году оказались на родине Алексея Максимовича Пешкова, он же Максим Горький, - в Нижнем Новгороде. Зашли в Дом-квартиру, где жил М. Горький с семьей с 1902 по 1904 год. В их распоряжении находились 10 комнат, в том числе гостиная, где в кругу друзей и знакомых Горький читал свои произведения вслух. Именно зде…

❤14

Showing the 5 most recent of 5 posts we hold for @Literary_journey. 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.

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

“Литературное путешествие📚” (@Literary_journey), 964 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/Literary_journey.

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.