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Signed Anna Chu

Channel
@chudanechka_writer
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
619subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001646546281 |
|---|---|
| Type | Channel |
| Username | @chudanechka_writer |
| 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 | 17 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 2 times, most recently 17 September 2026 |
| On Telegram | t.me/chudanechka_writer |
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 20 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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 |
|---|---|---|
| 9 Sept 2026, 06:37 | 619 | +4 |
| 24 Aug 2026, 13:34 | 615 | +1 |
| 16 Aug 2026, 02:23 | 614 | +1 |
| 8 Aug 2026, 04:32 | 613 | +1 |
| 8 Aug 2026, 03:03 | 612 | no change |
| 7 Aug 2026, 14:19 | 612 | first reading |
19 posts held, back to 15 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 19 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
1,500 reactions across 19 posts, in 17 distinct kinds. The most used accounts for 39.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 593 | 39.5% | |
| 🔥 | 446 | 29.7% | |
| 🥰 | 134 | 8.93% | |
| 👍 | 107 | 7.13% | |
| custom 5244736692887236286 | 66 | 4.40% | |
| 💯 | 32 | 2.13% | |
| ❤🔥 | 28 | 1.87% | |
| 👏 | 26 | 1.73% | |
| 🐳 | 16 | 1.07% | |
| 🤩 | 14 | 0.933% | |
| 💔 | 13 | 0.867% | |
| 😍 | 12 | 0.8% | |
| 🍓 | 6 | 0.4% | |
| ⚡ | 2 | 0.133% | |
| 🍾 | 2 | 0.133% | |
| 🤗 | 2 | 0.133% | |
| 🦄 | 1 | 0.067% |
Custom emoji. One 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 count beside it is 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 19 of the 19 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 1,500 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 15 July 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.
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🔥21❤20😍12⚡2🍓1🦄1
Signed Anna Chu
Знаю, что многие писатели делятся списками всяких бесячих выражений из книг. И «крутанулся на каблуках» в них довольно часто встречается😂 Как по мне, это очень милое сочетание. Наталье Илишкиной оно, судя по всему, тоже нравится. – Девочка?! – переспросил Чагдар с нескрываемым облегчением. Санитарка удивленно посмотрела ему в лицо: – Первый раз вижу калмыка, который радуется рождению дочери. – Я назову ее Роза! В че…
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Signed Anna Chu
Так захотелось унести августовского солнца в приближающуюся осень🤩 Как вам идея августовского посткроссинга?✉️💗 Бережно соберем летнее тепло и отправим незнакомцу (а может, уже и знакомцу, мне кажется, все мои постоянные участники давно перезнакомились)🤩 Письмо (в которое можно положить открытку, стикеры, закладки, листики, цветы, все, что угодно) как раз придет в начале осени и продлит лето, которое можно будет з…
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Signed Anna Chu
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Signed Anna Chu
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Signed Anna Chu
Привет, август! Сегодня решила устроить допрос вселенной с новенькой колодой карт. Она совсем маленькая – 12 цитат из книги уральских сказов Анатолия Короленко «Ледяной ларец», и каждая дает неплохую пищу для размышлений. Вот, что пишет сам автор о том, как появилась идея сказов: «Каждое лето, я, городской мальчик из Перми, – рассказывает в предисловии автор, – проводил в селе Филипповка в доме у бабушки, который ст…
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Signed Anna Chu
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Signed Anna Chu
Новый выпуск подкаста «Человек уязвимый» про природу жестокости и обаяние тру-крайма. Просто не могла пропустить этот выпуск. Ведь в моем новом романе я пытаюсь влезть в голову маньяку (и не только) и понять, почему он хочет убивать. Больше всего мне откликнулась мысль Ирины Гросс о том, что зверь в человеке рождается от собственного бессилия. Когда мы не знаем, как справляться со своей агрессией, как с ней взаимоде…
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Signed Anna Chu
И грусть, божечки, Глен Хансард ушел💔 Если не смотрели фильм «Однажды» (Once, 2007), гляньте! Он прекрасен. Я влюбилась в музыку Глена раз и навсегда💔💔💔
❤23💔12🔥6
Signed Anna Chu
Интересно, как у меня сложилось в июльском чтении. Два подряд исторических романа. «Птичка польку танцевала» Ольги Батлер и «София возвращалась домой» Наринэ Абгарян. Оба чудесные, открывающие сердце, с ярчайшими героями и красивым языком. Теперь хочется написать что-то подобное, масштабное, берущее за душу, горько-сладкое. И копать есть, вроде, куда. Предков по обеим моим линиям сослали в Казахстан для освоения цели…
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Signed Anna Chu
Удивительно, как иногда авторы приходят к схожим мыслям, и даже выписывают их почти одинаково. Еще больше удивительно, когда эти авторы – ты и Наринэ Абгарян🧡 ...что если ад действительно существует, то там не дышащие жаром котлы, а вечная мерзлота... Наринэ Абгарян. София возвращалась домой Ну это «Шепот» же!
❤40🔥29🥰15👍6👏2
Signed Anna Chu
Мне нравится, как у вас проходит лето Как вы в нем купаетесь Как приносите корзины и ведра лисичек, смородины и впечатлений с полей, с крыш, с причалов водных ресторанчиков Как делитесь новостями, планами и проблемами (куда ж без них) Мне нравится, как на вас вдруг посреди июльского зноя или дождя находит острая (от которой никак не отделаться) мысль и вы делитесь ею в своих каналах Собираете комментарии, ставите реа…
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Signed Anna Chu
Showing the 12 most recent of 19 posts we hold for @chudanechka_writer. 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 2 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“Chudanechka | писатель Анна Чудинова🖊🔮” (@chudanechka_writer), 619 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/chudanechka_writer.
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.