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Channel

Книги на китайском PandaLang

@chinesebookPandaLang

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

94subscribers

-2 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-1002339737701
TypeChannel
Username@chinesebookPandaLang
CreatedBetween 1 September 2024 and 20 February 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live3 September 2026
Measurements held4
Confirmed unchanged2 times, most recently 3 September 2026
On Telegramt.me/chinesebookPandaLang

Growth

9496957 August 2026 — 96 subscribers9 August 2026 — 96 subscribers21 August 2026 — 95 subscribers28 August 2026 — 94 subscribers7 August 202628 August 2026
4 measurements spanning 21 days, net -2. 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 94–96 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 03:0794-1
21 Aug 2026, 01:3395-1
9 Aug 2026, 12:1696no change
7 Aug 2026, 06:4996first reading

Engagement

6 posts held, back to 20 February 2025the 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 6 posts for this entry, the most recent from 2 March 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

36 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 36.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1336.1%
😍1233.3%
🔥1130.6%

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 6 of the 6 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 20 February 2025 to 2 March 2025, 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

2 Mar 2025, 11:48 UTC420 views6 reactionsread 9 August 2026
Photo

Получила книгу! Спасибо большое ❤️ Очень милая упаковка и хорошие слова ✔️ п.с не ожидала, что книга будет такой большой! Англ и рус варианты размером поменьше 😄

😍42

27 Feb 2025, 07:17 UTC407 views7 reactionsread 9 August 2026
Photo

Чудесная книга сейчас #вналичии “逆转思维” — 突破思维局限,换一种方式去努力 🌺Книга посвящена развитию нестандартного мышления и преодолению шаблонных подходов к решению задач; 🌺Автор предлагает "перевернуть" привычные модели мышления, чтобы найти новые пути достижения целей. 🌺И как и во всех предлагаемых мною книгах, эта книга — не просто теория, в книге много ярких примеров реальных личностей, их жизнь и диалоги 🙏 Основная идея — ин

5🔥1😍1

21 Feb 2025, 13:17 UTC320 views6 reactionsread 9 August 2026
Photo

Ваши заказы 🤩🤩 На канале представлены фотографии книг в наличии. Также на канале есть закрепленный пост — https://t.me/chinesebookPandaLang/15 Там найдете все подробности про заказ книг, подборку (бесплатную, конечно же) книг для вас по вашему уровню и интересам 🤍

🔥41😍1

21 Feb 2025, 09:47 UTC227 views5 reactionsread 9 August 2026
Photo

А еще я забрала книги на китайском от @Kate_rina7 И знаете, есть у меня одна претензия! Я не могла приступить к распаковке книг, потому что они так красиво упакованы, что мне трогать их неловко, упаковку снимать не хотелось! Но самое прекрасное, что когда открываешь книгу, то понимаешь, что именно там написано... И это непередаваемые эмоции, которые я прочувствовала только благодаря моей 老师!

🔥2😍21

21 Feb 2025, 08:28 UTC197 views5 reactionsread 9 August 2026
Forwarded from @PandaLangschoolPhoto

А с 5-6 hsk в моем клубе китаистов вот эту книгу читаем (рассказывала про нее на канале ранее). И раз сегодня пятница, наша регулярная рубрика #китайскоепослание 🤩🤩 Сегодня нас встретила фраза из новой главы: "凡是打不倒我们的,必会让我们更强大" То, что нас не сломит, сделает нас сильнее. (Или более известная нам фраза: «Что нас не убивает, делает нас сильнее») Всем желаю только новых свершений! И мягко напоминаю, что остается 3 д

🔥2😍21

20 Feb 2025, 13:00 UTC159 views7 reactionsread 9 August 2026
Photo

По случаю срочных новостей из Китая и возвращения Джек Ма в Китай (подробнее в посте здесь), сегодня напоминаю про книги этого выдающегося предпринимателя и лидера: Про несколько из них на канале писала подробно: 1️⃣Книга «永远不放弃. 马云给创业者的24堂课» Никогда не сдавайся: 24 урока для предпринимателей от Джека Ма 2️⃣Книга 《哪里有抱怨,哪里就有机会. 马云给年轻人的堂创业智慧课》 “Где есть жалобы, там и скрыта возможность — Уроки предпринимательской му

3🔥2😍2

Showing the 6 most recent of 6 posts we hold for @chinesebookPandaLang. 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.

Forward network

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.

Mentions

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.

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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“Книги на китайском PandaLang” (@chinesebookPandaLang), 94 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/chinesebookPandaLang.

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.