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Channel
@nikatsundokuclub
On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
1,070subscribers
-7 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001639054410 |
|---|---|
| Type | Channel |
| Username | @nikatsundokuclub |
| Created | 23 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/nikatsundokuclub |
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 94% 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 |
|---|---|---|
| 17 Sept 2026, 21:39 | 1,070 | -1 |
| 13 Sept 2026, 10:58 | 1,071 | -6 |
| 9 Sept 2026, 12:54 | 1,077 | +1 |
| 4 Sept 2026, 14:19 | 1,076 | +1 |
| 1 Sept 2026, 06:26 | 1,075 | -1 |
| 29 Aug 2026, 05:34 | 1,076 | +1 |
| 26 Aug 2026, 15:04 | 1,075 | -1 |
| 20 Aug 2026, 10:37 | 1,076 | +1 |
| 17 Aug 2026, 13:06 | 1,075 | -2 |
| 14 Aug 2026, 05:19 | 1,077 | +1 |
| 10 Aug 2026, 12:59 | 1,076 | -1 |
| 7 Aug 2026, 09:17 | 1,077 | no change |
| 6 Aug 2026, 13:49 | 1,077 | first reading |
20 posts held, back to 15 May 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 20 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
310 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 73.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5384560100532835911 | 228 | 73.5% | |
| 💔 | 32 | 10.3% | |
| custom 5228874021453439028 | 20 | 6.45% | |
| 🕊 | 19 | 6.13% | |
| 💯 | 10 | 3.23% | |
| custom 5318925642970977765 | 1 | 0.323% |
Custom emoji. 3 of the rows above are 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 18 of the 20 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 310 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 May 2026 to 4 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikatsundokuclub. 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 20 most recent posts we hold for this entry, published 15 May 2026 to 4 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.
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Написала нервный пост, который во мне зрел уже пару месяцев на тему литературы и ИИ, самоцензуры и уважения к чужому «творчеству» в то время как чужое «творчество» не вызывает ничего кроме фрустрации. Пост я этот выкладывать не буду, пар выпущен в стол. Но мне очень охота спросить у вас — я же не одна все чаще попадаю на эту ИИшницу, которую нам продают под видом литературы? Прошу заметить — продают. То есть, мы чита…
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💔
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Настрик чисто поехать в Фаланстер и накупить книг на 5 тыщ, которые я никогда не прочту Upd: но жизнь заставила отнести те 5 тыщ травматологу 🗿
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Ася Демишкевич «Персональная покупательница» Очень забавный рассказ примерно на ту же тему, которую Ася развивала в книге «Раз мальчишка, два мальчишка», только здесь она дана более сжато. И в главных ролях теперь не мальчишки, а девчонки. Тема базового гардероба меняется вместе с временами, и вот уже стиль милитари захватывает умы всех модниц города — однако этому мороку можно противостоять, есть одно противоядие (и…
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Моя. Чисто женский сборник Этой весной книжный «Все свободны» выпустил сборник рассказов и эссе с лаконичным названием «Моя». Достаточно посмотреть на список авторок, чтобы понять, что книгу пропускать не стоит. И чуйка меня не обманула — чтение получилось тёплым, местами болезненным, но в целом жизнеутверждающим. Попробую рассказать о чем это было: Лайма Андерсон «No place like home» Приятное эссе с размышлениями…
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«Репродуктор(ы)» Дмитрий Захаров «Репродуктор(ы)», впервые опубликованные ещё в 2015 году, спустя 11 лет, и некоторое авторское переосмысление, кажется, только больше настоялись и укрепились в своей вневременности (как и большинство романов Дмитрия, да). Герои «Репродуктор(ов)» – приспособленцы, они живут в стране победившей пропаганды, где окружающий мир — это то, что в тебя вговаривают, а не то, что ты видишь собс…
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Ой, как хорошо
Москва! 8 июля в 19:00 в ресторане Дом культур очень классные люди прочитают рассказы о доме. Наш состав авторов: Вера Богданова Ольга Григорьева Павел Кошелев Анна Лужбина Анастасия Древаль Модерировать мероприятие, как обычно, будет литературная обозревательница Лада Кулинич. Я предложила писателям и писательницам порассуждать о том, насколько важно человеку ощущение дома и насколько фатальным может оказаться е…
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Я довольна этим «Лицеем». Полина ❤️ За первое место в основном жюри тоже очень тепло - Ирина Родионова и ее «Дети рожденные грибницей» достойны вашего внимания.
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Еще раз о лицеистах — в этом материале Ridero собрали впечатления всех членов блогерского жюри. Говорят, что по нему видно, кто победит в номинации, но я так и не поняла. Завтра узнаем наверняка.
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Showing the 12 most recent of 20 posts we hold for @nikatsundokuclub. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Nika’s Tsundoku Club” (@nikatsundokuclub), 1,070 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/nikatsundokuclub.
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.