Telegram RegisterThe public register of Telegram

Channel

Китайский язык Kitai-School

@kitai_school

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

4,331subscribers

+15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001535978971
TypeChannel
Username@kitai_school
Created19 July 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/kitai_school

Growth

4,3164,3364,3267 August 2026 — 4,316 subscribers7 August 2026 — 4,316 subscribers7 August 2026 — 4,320 subscribers10 August 2026 — 4,336 subscribers14 August 2026 — 4,331 subscribers4,3317 August 202614 August 2026
5 measurements spanning 7 days, net +15. 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 4,313–4,339 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:174,331-5
10 Aug 2026, 19:314,336+16
7 Aug 2026, 19:404,320+4
7 Aug 2026, 09:014,316no change
7 Aug 2026, 08:484,316first reading

Engagement

11 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.0%
avg views ÷ 4,331 subscribers
Avg views / post
520
10 posts measured
Reaction rate
2.23%
reactions ÷ views · ER floor
Posts in window
10
of 11 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held11 (14 July 20267 August 2026)
Views total5,197
Reactions total116
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:48 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

Video runtime
4m 40s
Average length
56s

Measured directly from 5 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.

Reaction mix

132 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 40.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5340.2%
🔥3728.0%
👍3123.5%
😍53.79%
🤩21.52%
🥰21.52%
10.758%
👏10.758%

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 11 of the 11 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 132reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 14 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.

Recent posts

7 Aug 2026, 15:41 UTC202 views5 reactionsread 8 August 2026
Photo

🇨🇳 Как вернуться к китайскому после летнего перерыва? Системность, регулярность и правильная методика помогут быстрее восстановиться 🇨🇳 1️⃣Повторяйте старое: 🟢20-30 слов; 🟢5-10 иероглифов; 🟢один знакомый текст или диалог. Мозгу легче восстановить уже знакомые связи. 2️⃣Делайте меньше, но каждый день. 15-20 минут ежедневно эффективнее, чем двухчасовое занятие раз в неделю. Главное сейчас — вернуть регулярность. 3⃣

21👍1🔥1

6 Aug 2026, 15:03 UTC257 views9 reactionsread 8 August 2026
Photo

🇨🇳 Еще один день выездного языкового лагеря Kitai-School в Санье 📚 Утром дети занимались китайским языком в мини-группах, распределениях по уровню и возрасту, а после обеда их ждал творческий мастер-класс. 🚌 Во второй половине дня мы отправились в этнографическую деревню народностей Ли и Мяо 黎族和苗族 (Lízú hé Miáozú). В деревне нас ждала насыщенная программа. Мы посмотрели колоритное шоу с национальными танцами и ог

3🔥3👍2🤩1

3 Aug 2026, 15:46 UTC395 views18 reactionsread 8 August 2026
Video

Наш выездной языковой лагерь Kitai-School в Китае 🇨🇳 ✨ Учеба, практика языка, знакомство с культурой, гастрономические открытия, незабываемые экскурсии, эмоции и впечатления. ✨ ❤️ Ребята молодцы! Родителям спасибо за доверие! В наших поездках Китай раскрывается по-настоящему. Дети не просто изучают язык — они знакомятся с культурой, пробуют национальную кухню, слышат живую китайскую речь и открывают для себя стра

5👍5🔥5🥰2👏1

31 Jul 2026, 07:40 UTC509 views8 reactionsread 8 August 2026
Photo

Дайджест: собрали лучшие посты за июль. В июле много говорили о поездках в Китай, языке и учёбе. 🀄️ Едем в Китай: Первая поездка в Китай: как всё устроено Чек-лист перед вылетом (Arrival Card) Как установить WeChat Как добавить китайскую клавиатуру на iPhone Базовые фразы для магазина, кафе и улицы 🎓 Учёба в Китае: Лига C9 — элита вузов Китая Экскурсия по кампусу Фуданьского университета Сложно ли поступить в кит

4👍2🔥2

25 Jul 2026, 17:14 UTC718 views11 reactionsread 8 August 2026
Photo

🇨🇳 В Китае номер телефона с несколькими восьмерками может стоить в разы дороже номера с четверками. 8️⃣ (八 bā) — самое желанное число Звучит похоже на 发 (fā) — «богатеть», «преуспевать». Отсюда и вся любовь к восьмеркам: номера машин, этажи, даты свадеб, суммы в конвертах на праздники — если можно вставить 8, вставят. 4️⃣ (四 sì) — число, которого избегают Звучит почти как 死 (sǐ) — «смерть». Поэтому в лифтах мног

👍54🔥2

21 Jul 2026, 08:18 UTC684 views8 reactionsread 8 August 2026
Video

📲 Как добавить китайскую клавиатуру на iPhone ❓Начали учить китайский? Пора печатать иероглифы! Настройка займет минуту Настройки → Основные → Клавиатура → Клавиатуры → Новые клавиатуры → Китайский (упрощенный) ✍ Выберите способ ввода: 🔸 Пиньинь — QWERTY. Основной вариант: набираете латиницей nihao — клавиатура предлагает 你好. Так печатает большинство китайцев 🔸 Рукописный ввод. Рисуете иероглиф пальцем на экр

4👍2🔥2

20 Jul 2026, 14:56 UTC588 views13 reactionsread 8 August 2026
Photo

🧒 Почему начинать изучение китайского в детстве — хорошая идея? 🔹 Легче поставить произношение. Детский слух более гибкий, поэтому ребёнку проще привыкнуть к особенностям китайского языка. 🔹 Развитие памяти и мышления. Китайцы мыслят образами. Иероглифы — это не буквы, а визуальные образы. Их изучение помогает тренировать зрительную память, образное мышление, концентрацию внимания, способность работать с большим об

5🔥5👍3

16 Jul 2026, 13:52 UTC682 views22 reactionsread 8 August 2026
Video

🇨🇳Коллеги, кто был на конференции, по всем вопросам по Китаю (бизнес, культура, менталитет, дресс-код, выставки, путешествия, жизнь в Китае) или по китайскому языку и обучению можно писать мне в личные сообщения: @ceo_kitai_school #историяодногодня_kitai_school

9🔥8😍5

16 Jul 2026, 11:30 UTC615 views9 reactionsread 8 August 2026
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🧑‍🎓 C9 League — элита высшего образования Китая C9 League — объединение девяти ведущих исследовательских университетов Китая. Его часто называют китайским аналогом Ivy League благодаря высокой академической репутации и сильной научной базе. 📊 В рейтинге QS World University Rankings 2025 университеты C9 занимают следующие позиции: 🔸 Peking University — 14 место 🔸 Tsinghua University — 20 место 🔸 Fudan University —

👍52🔥2

15 Jul 2026, 10:26 UTC547 views13 reactionsread 8 August 2026
Video

🇨🇳 Экскурсия по кампусу Фуданьского университета 复旦大学 💁🏻‍♀️ Как выглядит один из лучших вузов Китая Лиги С9? Смотрите видеопрогулку. ❓ Хотели бы учиться в таком университете? 🎯 Если вы или ваш ребенок мечтаете об учебе в Китае, наши специалисты помогут с выбором вуза, грантами и подготовкой к поступлению. ✍ Запишитесь на бесплатную консультацию: 📩 @manager2_kitai_school Лицензированная онлайн-школа китайского я

7👍3🔥2🤩1

14 Jul 2026, 08:06 UTC582 views16 reactionsread 8 August 2026
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🧐 Сложно ли поступить в китайский вуз? ❓ Этот вопрос мы слышим практически каждый день. 👩‍🏫 Наш ответ – «нет», если начать подготовку заранее и действовать по четкому плану. 🧑‍🎓 Многие наши ученики поступают в вузы C9 – элиту высшего образования Китая – и получают гранты. Это не случайность, а результат системной подготовки, которую мы начинаем с первого дня работы. ✍ Что важно для успешного поступления? 🔹 Уровень

8🔥5👍3

Showing the 11 most recent of 11 posts we hold for @kitai_school. 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 — 177,423 of 1,189,255entries 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.

Forward network

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

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.

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

“Китайский язык Kitai-School” (@kitai_school), 4,331 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kitai_school.

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.