Channel
@lexisun
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
385subscribers
-12 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001762467402 |
|---|---|
| Type | Channel |
| Username | @lexisun |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/lexisun |
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 22 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Sept 2026, 04:35 | 385 | -3 |
| 15 Sept 2026, 01:36 | 388 | -3 |
| 7 Sept 2026, 06:18 | 391 | -1 |
| 28 Aug 2026, 19:54 | 392 | -3 |
| 22 Aug 2026, 11:17 | 395 | -1 |
| 14 Aug 2026, 16:17 | 396 | -1 |
| 8 Aug 2026, 05:50 | 397 | no change |
| 7 Aug 2026, 14:25 | 397 | first reading |
8 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 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 8 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
20 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 45.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5395386965761742203 | 9 | 45.0% | |
| custom 5379659040336923388 | 8 | 40.0% | |
| custom 5355017588894083088 | 2 | 10.0% | |
| custom 5393540348867793446 | 1 | 5.00% |
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 8 of the 8 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 20 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 28 July 2026 to 6 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.
Читаю вот и понимаю, что уже реально старовата как-будто 😂 Все здесь так миленько и так непосредственно. Живот не болит, потому что бабочки там еще не сдохли 😏
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Начала читать «Тени Казани» Юлии Шляпниковой, пока еще не поняла, нравится или нет 😂 Но отзывы хорошие, так что поглядим
custom 53796590403369233881
Мне очень жарко снимать кружочки, поэтому я покажу вам новые книжечки так 😂 1. «Тени Казани» Юлия Шляпникова. Нам обещают татарскую мифологию и кучу интересных монстров 😏 2. «Мертвец с улицы Синих Труб» Владимир Торин. Это у нас небольшое ответвление от основной серии книг «из Габена» про парнишку, который считал себя мертвым, кровавые преступления и все еще обворожительного доктора Доу. 3. «Лемони или Тайны старо…
custom 53953869657617422032
Всем добрейшего понедельничного утра! 🥰 Вчера я закончила «Погасни свет, долой навек» и мне очень есть, что сказать 😂 сегодня постараюсь оформить свои мысли во что-то более или менее пристойное, а потом поделюсь с вами. Еще я забрала несколько книжечек с Озона и очень надеюсь, что сегодня поснимаю вам кружочки (если не сдохну от жары🥲)
custom 53953869657617422032
Как вы знаете, я счастливый владелец двух пушистых комочков, а именно котейки Васаби и пёселя Кольта, который от горшка два вершка. Так вот, в моем районе есть Пятерочка, Перекресток, Вкус Вилл, Магнит, Ермолино и несколько аптек - везде я спокойно хожу со своей собакой. Я всегда держу его на поводке, мы никому не мешаем, в магазинах нас уже знают и очень радушно реагируют, поэтому для меня было удивлением, что есть …
custom 53953869657617422035custom 53935403488677934461
В последние двадцать минут июля врываюсь к вам с двух ног с 🌺🌺🌺🌺🌺🌺🌺 месяца 🌺 Всего прочитано: 🌺 книг 🌺Лучшая книга месяца: Думаю, сомнений у вас не возникло😂 Конечно же, это «Тайна дома 12 на улице Флоретт» Владимира Торина. Я окончательно и бесповоротно влюбилась в эту мрачную вселенную, пропитанную запахами машинного масла и сигарного дыма. Ну и гг здесь великолепен - холодный и саркастичный мизантроп, ну мёд 🤤 …
custom 53796590403369233883
Начала знакомство с «Погасни свет, долой навек» Дарьи Иорданской. Пока что неплохо, начало многообещающее: мрачный готический Лондон, жуткий особняк и тема фейри (а я ее ой как люблю😏). Не знаю, успею ли добить ее в июле, но настрой у меня оптимистичный 🙂
custom 53796590403369233882
Давно ли вы видели ТАКИЕ ЦЕНЫ на наши книги на Wildberries?
custom 53550175888940830882
Showing the 8 most recent of 8 posts we hold for @lexisun. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“Вязальный книголюб” (@lexisun), 385 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/lexisun.
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.