Channel
@knizhnaya_sonya
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
207subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001188183962 |
|---|---|
| Type | Channel |
| Username | @knizhnaya_sonya |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/knizhnaya_sonya |
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 25 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 |
|---|---|---|
| 25 Sept 2026, 16:36 | 207 | +1 |
| 8 Aug 2026, 11:16 | 206 | no change |
| 7 Aug 2026, 13:31 | 206 | first reading |
8 posts held, back to 30 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
22 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 36.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 36.4% | |
| 😍 | 6 | 27.3% | |
| 👍 | 5 | 22.7% | |
| 😁 | 3 | 13.6% |
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 22 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 30 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.
Помните, я вам рассказывала про выгодную акцию на сборник стихов Есенина? Я забрала книгу с ПВЗ и специально записала видео – посмотрите какая красивая 😍 Мало того, что она стоила по скидке 119 рублей, я еще и 100 баллов озон потратила! Купить такую книгу за 19 рублей – это успех, я считаю 😁 #книжнаясоня_видеообзор
😍2
Яндекс недавно очень радовал ценами на книги моей любимой Никеи @nikeabooks поэтому я не удержалась и прикупила несколько изданий, которые очень давно хотела Даже не знаю, что это за акция была, потому что мне не удалось скопировать ссылку для вас, к сожалению 😓 Про книгу Ольги Демидюк "Солнце взойдёт" я, конечно, слышала – она вышла два года назад, была сразу же сметена с виртуальных и настоящих книжных полок так,…
❤2
Photo, posted without a caption
👍2
В каких парках Москвы появились лесные библиотеки В московских парках организованы лесные библиотеки - уютные павильоны, где можно почитать, поработать за ноутбуком, поиграть в настольные игры и просто отдохнуть среди зелени. Такие пространства открылись в трех локациях: в парке 50-летия Октября, на "Ходынском поле" и в усадьбе Воронцово. В павильоне на "Ходынском поле" легко забыть, что ты в городе. Панорамные окн…
😍4
Ничего себе 🤩 Москвичи, это правда? Если бы у нас были такие, я бы оттуда не вылезала 😅📚☕👩🏻💻💛
😁2
Прочитали с сыном "Питера Пэна" 📖 (Я тоже читала его в первый раз, в детстве как-то не довелось) Сыну сказка понравилась, а вот мне как-то... Не очень 🫠 Даже не смотря на то, что я не считаю себя феминисткой, я была дико возмущена тем фактом, что Венди всех обстирывала, готовила мальчикам еду, зашивала их одежду, пока они веселились и баловались 🤪 В общем, аллегории взросления мне понятны, но вот эта деталь сюжета к…
❤2😁1
Рассказываю, как мы съездили вчера на распродажу МИФа в Матрешке 📚 Детской литературы очень мало 😥 Прям совсем! Того, за чем я ехала не было... Комиксов много, да, но кроме них почти ничего и нет, энциклопедий тоже очень мало. В общем, если хотели в последний день съездить с детьми, не стоит. Много взрослой литературы, есть классика в красивом оформлении. Я купила себе новую книгу Виктории Шиманской о детских эмоци…
❤4
Воронежцы, внимание ⚠️ К нам приезжает издательство МИФ @mifbooks 🥳 В этот раз даже две площадки! Мне удобнее было бы съездить в Арену, но, наверное, поедем в Матрёшку, – это уже традиция 😊
👍3
Showing the 8 most recent of 8 posts we hold for @knizhnaya_sonya. 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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“Книжная Соня 📚💛” (@knizhnaya_sonya), 207 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/knizhnaya_sonya.
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.