Китайский с Бренди🧋 pinned a photo

Channel
Китайский с Бренди🧋
@lil_brendy13
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
35subscribers
+0 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 | -1003891236138 |
|---|---|
| Type | Channel |
| Username | @lil_brendy13 |
| Description | Изучение языка с целью и в удовольствие 🍀 Классическое обучение + современные методы: •comprehensible input (погружаемся в ситуацию, где понимаем около 90% слов и учимся догадываться о значении оставшихся 10%); •живая коммуникация •интервальное повторение |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/lil_brendy13 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 23:32 | 35 | no change |
| 7 Aug 2026, 15:02 | 35 | first reading |
Engagement
18 posts held, back to 1 August 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 53.4%
- avg views ÷ 35 subscribers
- Avg views / post
- 18.7
- 17 posts measured
- Reaction rate
- 9.12%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 14 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 18 (1 August 2026 – 10 August 2026) |
| Views total | 318 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 23:32 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 124
- Videos
- 24
- Links
- 71
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
25 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 20 | 80.0% | |
| ❤ | 3 | 12.0% | |
| 👍 | 2 | 8.00% |
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 14 of the 18 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 1 August 2026 to 10 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.
Recent posts
Мне кажется эту книгу надо на Хэллоуин читать🧐
台湾神秘文化: 林投姊 (líntóu zǐ) — «сестра Линьтоу»; персонаж тайваньской легенды о призраке женщины. 林投 — название растения, 姊 — «старшая сестра / женщина» (тайваньское употребление). 英国神秘文化: 吸血鬼卓九勒 (xīxuèguǐ Zhuó Jiǔlè) — вампир Дракула. 吸血鬼 — вампир, 卓九勒 — китайская передача имени Dracula. 日本神秘文化: 牡丹灯笼 (mǔdan dēnglóng) — «Пионовый фонарь», известная японская история о мужчине, которого посещает призрак умершей женщины. Н…
🔥1
愈来愈多yù lái yù duō= 越来越多 场合chǎnghé=特殊的情况 #同义词
Ну, что, у меня начинается новый книжный месяц🤗 Знакомлюсь с новой книгой: 幽灵世界yōulíng shìjiè мир духов👻 幽灵也好,鬼怪也罢,究竟是真是假,端看人心如何取决。 Yōulíng yě hǎo, guǐguài yě bà, jiūjìng shì zhēn shì jiǎ, duān kàn rénxīn rúhé qǔjué. «Призраки это или нечисть — правда они существуют или нет, всё зависит от того, как это воспринимает человеческое сердце.» A也好,B也罢 будь то A или B 端看 (书面语) duān kàn Все зависит от
👍1🔥1
https://www.youtube.com/watch?v=DmR-r1YZXZg Сегодня с учеником начального уровня смотрели вот такое 视频 для отработки базовой лексики. 🧐 В нём 博主, в том числе, говорит о том, что ей нравится 粉色的衣服,因为这种颜色很幼稚。 Здесь 幼稚 (yòuzhì) используется именно для описания образа или стиля, а не характера, как мы разбирали ранее.
🔥2
词汇: • 成长 chéngzhǎng расти, развиваться; личностный рост • 情绪状态qíngxù zhuàngtài Эмоциональное состояние • 心境 xīnjìng Душевное состояние описывает не кратковременную эмоцию, а более глубокое внутреннее состояние человека • 执念zhíniàn навязчивая идея, одержимость • 底气 dǐqì Внутренняя опора, внутренняя уверенность • 暴露bàolù Обнажить, раскрыть, выявить 例子: 暴露身份bàolù shēnfèn Раскрыть личность 暴露缺点bàolù quēdiǎn Выяв…
❤1🔥1
Позавчера я начала читать статью про саморазвитие на китайском (мне была интересна именно лексика по этой теме), и поняла, что знаю её пока довольно плохо…😅 Вчера я даже не смогла заставить себя прочитать хотя бы ещё одну страницу… Но после разбора текста позавчера и сегодня я уже могу пересказать первые пять страниц 🤪: Если человек осознанно не развивает мышление роста (有意识地不进阶jìnjiē心态xīntài), то, как правило, он це…
🔥1
В работе с китайскими партнерами часто можно встретить эти две теории; сегодня в одной статье попалась одна из этих теорий, решила поделиться и тут🤗: 🤓木桶理论 mùtǒng lǐlùn — теория деревянной бочки или закон бочки. 最短的木板决定木桶能装多少水。 Общий уровень определяется самым слабым звеном. 🍾长板理论- теория длинной доски 一个人的价值更多取决于自己的长板。 Yí ge rén de jiàzhí gèng duō qǔjué yú zìjǐ de chángbǎn Не всегда нужно бесконечно исправлять н…
🔥2
· 就会有所收获 jiù huì yǒu suǒ shōuhuò Тогда обязательно что-нибудь приобретёшь (получишь) 有所 yǒu suǒ иметь что-либо, некоторый, определённый. Это книжная конструкция, означающая «в чём-то», «какой-то». 收获 shōuhuò урожай; результат, приобретение, польза, то, что удалось получить. ‼️Конструкция 有所 + глагол/существительное (书面语): в какой-то степени иметь…, получить…, добиться… 例子: 有所收获 что-то приобрести, получить опреде…
❤1🔥1
成语: 1。开卷有益 kāi juàn yǒu yì Чтение книг всегда приносит пользу 开 kāi открывать 卷 juàn свиток, книга 有 yǒu иметь 益 yì польза, выгода 2。博览群书 bólǎn qúnshū Быть очень начитанным 博 bó широкий, обширный 览 lǎn просматривать, читать, обозревать 群 qún множество, группа 书 shū книги 例子: 他从小博览群书,知识非常丰富。 Tā cóngxiǎo bólǎn qúnshū, zhīshi fēicháng fēngfù С детства он много читал и обладает очень обширными знаниями 想成为一名优秀的作家…
👍1🔥1
Showing the 12 most recent of 18 posts we hold for @lil_brendy13. 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.
Citation-graph rank
Citation-graph rank — 1,079,936 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Китайский с Бренди🧋” (@lil_brendy13), 35 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/lil_brendy13.
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.