Channel
@vava_chinese
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,750subscribers
+40 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003292611925 |
|---|---|
| Type | Channel |
| Username | @vava_chinese |
| Created | Between 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/vava_chinese |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:46 | 1,750 | +10 |
| 10 Aug 2026, 20:15 | 1,740 | +25 |
| 8 Aug 2026, 01:03 | 1,715 | +5 |
| 7 Aug 2026, 08:48 | 1,710 | first reading |
18 posts held, back to 26 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 2 pagesof Telegram’s post history, 20 posts per page.
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 16 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 18 (26 July 2026 – 7 August 2026) |
| Views total | 3,047 |
| Reactions total | 85 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:41 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.
Measured directly from 2 videos 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.
85 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 36.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 36.5% | |
| 🔥 | 22 | 25.9% | |
| 👏 | 14 | 16.5% | |
| 🥰 | 13 | 15.3% | |
| 😭 | 4 | 4.71% | |
| 👍 | 1 | 1.18% |
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 16 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 85reactions 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 26 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.
Каждый канал как уютный дом с особой атмосферой. Загляните, авторы рады новым гостям. 💜Английский с Татьяной | ОГЭ & ЕГЭ - Экзамены глазами эксперта: реальные задания, тонкости английского, ошибки, психология подготовки и поддержка. 💜Разговорный клуб FLUENT | Английский с носителем Понимаете английский, но говорить всё ещё сложно? Больше разговорной практики - больше уверенности. 💜Английский не как в школе Ребёнок…
❤2🥰2👏1
Все самое интересное о Китайском - изучение языка, культура и многое другое 🇨🇳💣 🇨🇳Лицензированная онлайн-школа Kitai-School: N1 в методике преподавания китайского языка 🏆 👩💻Индивидуальные онлайн-уроки с опытными русскими и китайскими учителями для учеников с 5 до 75 лет 💁🏻♀️Курсы по новому HSK с 0 до HSK9 📈Подготовка к CSCA, ЕГЭ и олимпиадам 🎯Для путешествий, бизнеса, работы, учёбы 🧑🎓Поступление в топовые вузы Ки…
偷感 tōu gǎn — Эффект крадущегося/ Синдром тихони Ощущение, что ты делаешь что-то украдкой, стесняясь внимания: фото, шопинг, еда в одиночестве Китайский язык| Вава_чайниз 🐲⛩️
🍃 Сладкая поэзия Цзяннань: три десерта, которые влюбляют 🪷 荷花椰雪 héhuā yē xuě Лотосовый кокосовый снег — чистый, сладкий, с тонким ароматом цветка лотоса. Мягкое кокосовое облако тает во рту, а послевкусие — как прогулка по утреннему озеру 🍵 抹茶春天 mǒchá chūntiān зеленый матча — это про эстетику. Яркий изумрудный цвет, нежная текстура, едва уловимая горчинка благородного чая 📸雷峰塔冻冻 léifēngtǎ dòngdòng Желе в форме пагоды…
❤4👏1🔥1
硬控 yìng kòng — Залипнуть Когда что-то (красивый вид, трек или лицо блогера) так сильно захватывает, что вы не можете отвести взгляд и залипаете на 3 секунды Китайский язык| Вава_чайниз 🐲⛩️
❤2🔥2👏1
🤩Словари HSK 1–5 версия 3.0: только новые слова🤩 🔢.🔢HSK 1- 300 🔢.🔢HSK 2 - 500: 300 из HSK 1 + 200 новых 🔢.🔢HSK 3 - 1000: 300 из HSK 1 + 200 из HSK 2 + 500 новых 🔢.🔢HSK 4 - 2000: 300 из HSK 1 + 200 из HSK 2 + 500 из HSK 3 + 1000 новых 🔢.🔢HSK 5 - 3600: 300 из HSK 1 + 200 из HSK 2 + 500 из HSK 3 + 1000 из HSK 4 + 1600 новых #HSK30 https://disk.yandex.ru/d/UIc-5qotVfSMIw
🔥3❤1🥰1
Доброе утро, мои 🐴 Все же, нишевый преподаватель 🙊 🤩Возьму на обучение китайскому 3 человек 🤩 Для записи на бесплатный пробный урок :@MeMariEv
🔥2👏1🥰1
好嘟 hǎo dū - хорошо вместо скучного «ОК» сейчас пишут 好嘟 hǎo dū — милое согласие Китайский язык| Вава_чайниз 🐲⛩️
❤4👏1🔥1
✍️ август печаетает
😭4🥰1
🎁Термальный источник в виде хот-пота с двумя бульонами 🎁 鸳鸯火锅温泉 горячий источник, оформленный как знаменитый китайский 鸳鸯锅 юаньянго — хот-под для хого с двумя бульонами В 2025 году эту идею воплотили в Харбине, северо-восток Китая: 🔴 «Красная» сторона — с плавающими перцами, овощами и даже муляжами крабов. Цвет достигается за счет лепестков роз ⚪ «Белая» сторона — с молоком, создающим эффект «молочного» или «прозр…
🔥3👏1🥰1
🍹Коктейль в виде хот-пота с двумя бульонами: или что еще придумали китайцы 🙈 鸡尾酒鸳鸯锅 jī wěi jiǔ yuān yāng guō 鸡尾酒 jīwěijiǔ — коктейль «хвост курицы» + 鸳鸯锅 yuān yāng guō хот-пот с двумя бульонами — это коктейль со льдом и фруктами, поданный в специальной посуде, которая разделена на две половины, ровно как китайский «юаньян-хого» хот-пот с двумя бульонами🍜 Одна сторона — обычно сладкая и фруктовая (с соком манго или …
❤4🔥2🥰1
🍜Как заказать в Китае хот-пот с двумя бульонами❓ Скажите официанту: цин вэнь, юаньянго/ 请问，鸳鸯锅 — и вас поймут. Если боитесь острого, уточните: вэй ла/微辣 — немного острого, или бу ла/ 不辣 - не остро, но тогда теряется смысл юаньяна 😄 Китайский язык| Вава_чайниз 🐲⛩️
👏2🥰2🔥1
Showing the 12 most recent of 18 posts we hold for @vava_chinese. 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 — 213,268 of 1,478,351entries 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.
Named by 11 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Китайский язык| Вава_чайниз 🐲⛩️” (@vava_chinese), 1,750 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/vava_chinese.
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.