Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
21 measurements spanning 90 days, net +73. 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 6,773–6,876 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
5 Nov 2026, 02:25
6,858
+5
1 Nov 2026, 21:22
6,853
-6
29 Oct 2026, 12:31
6,859
+1
26 Oct 2026, 06:59
6,858
-6
23 Oct 2026, 16:14
6,864
+4
20 Oct 2026, 21:38
6,860
+1
17 Oct 2026, 21:09
6,859
+9
15 Oct 2026, 01:50
6,850
-4
11 Oct 2026, 22:00
6,854
+15
5 Oct 2026, 16:58
6,839
+17
28 Sept 2026, 12:39
6,822
-7
15 Sept 2026, 21:18
6,829
+4
11 Sept 2026, 21:59
6,825
+9
7 Sept 2026, 17:59
6,816
+9
2 Sept 2026, 13:22
6,807
+9
30 Aug 2026, 12:43
6,798
+12
27 Aug 2026, 11:39
6,786
-3
24 Aug 2026, 08:18
6,789
-1
20 Aug 2026, 10:28
6,790
+2
8 Aug 2026, 01:08
6,788
first reading
Engagement
28 posts held, back to 3 June 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.7%
avg views ÷ 6,858 subscribers
Avg views / post
1,080
4 posts measured
Reaction rate
3.26%
reactions ÷ views · ER floor
Posts in window
4
of 28 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
Window
Rolling 30 days · latest post in window 1 November 2026
Posts held
28 (3 June 2026 – 1 November 2026)
Views total
4,319
Reactions total
141
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 13:44 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
≈1,160
Videos
≈276
Links
≈166
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 09s
Average length
35s
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.
Reaction mix
1,136 reactions across 28 posts, in 29 distinct kinds. The most used accounts for 35.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
407
35.8%
😁
191
16.8%
custom 5778520996575187134
134
11.8%
🔥
115
10.1%
🍓
70
6.16%
👍
41
3.61%
💘
36
3.17%
💯
36
3.17%
😍
18
1.58%
❤🔥
15
1.32%
🌚
13
1.14%
🤣
9
0.792%
💔
8
0.704%
🙏
5
0.44%
✍
4
0.352%
🏆
4
0.352%
👏
4
0.352%
😭
4
0.352%
⚡
3
0.264%
👀
3
0.264%
9 further kinds
16
1.41%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 28 of the 28 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 1,136 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 3 June 2026 to 1 November 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.
Telegram Stars
Stars received
16
across the posts below
Posts paid on
10
of 28 we hold a reading for · 36%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @miaoxuexiao. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 28 most recent posts we hold for this entry, published 3 June 2026 to 1 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Норм или стрем в изучении китайского 🚩 / 👌
⚫️Не учить иероглифы - стрем 🚩
Можно дойти с таким подходом до высокого уровня. НО в реальности мы не только говорим, но и пишем, читаем. Без иероглифов элементарно в WeChat не пообщаешься.
⚫️Записывать все незнакомые слова из фильмов и сериалов - стрем 🚩
Вы быстро устанете и потеряете мотивацию, особенно на начальном этапе, слова будут накапливаться как снежный ком.
⚫️Об…
Почти неделю не работала Progressme - та самая интерактивная платформа, на которой мы проводим занятия в нашей школе 🥺
Все материалы для уроков мы загружали туда. Поэтому пришлось срочно искать замену, куда можно быстро перенести материалы и где студентам будет легко разобраться с функционалом.
Наш выбор пал на Holst. По сути, она очень похожа на Miro, но работает без VPN и имеет несколько интерактивных функций. Ре…
⚫️别怕事情黄了
Bié pà shìqíng huángle
Не бойтесь, что что-то "пожелтеет"
⚫️接下来,秋天会给你好果子吃
Jiē xiàlái, qiūtiān huì gěi nǐ hǎo guǒzǐ chī
Со временем осень принесет свои плоды
🤩В этой фразе заключены сразу две метафоры:
🍂事情黄了 shìqíng huángle
прямое значение: что-то пожелтело
переносное значение: дело провалилось
Например:
生意很快就黄了。
Shēngyì hěn kuài jiù huángle.
Бизнес очень быстро провалился.
🍂给果子 Gěi guǒzǐ
прямое значени…
Как прокачать свою разговорную речь?🤪
Чтобы заговорить бегло, лексика и грамматика должна быть в активе, автоматически всплывать в голове в нужный момент.
Чтобы вывести знания в «актив» нужна долгая и регулярная практика. Проще говоря, «чтобы заговорить, надо говорить»
📌Как практиковать разговорную речь?
🙏ведите свой дневник или блог на китайском📕: рассказывать о событиях из своей жизни всегда интереснее, чем ра…
Объясняем друзьям, родителям и всем интересующимся, почему китайский учить сложно 🔥
Каждый раз не знаешь, какую задачу придется решить:
🔴Подобрать правильный тон:
买 mǎi покупать
卖 mài продавать
睡觉 shuìjiào спать
水饺 shuǐjiǎo пельмени
眼睛 yǎnjing глаза
眼镜 yǎnjìng очки
🔴Выбрать нужный иероглиф из сотни "shi":
shì 是、事、市、室、试、式、世、视……
А как отличать их на слух?😱
🔴Выбрать чтение иероглифа:
行 xíng или háng?
还 hái или…
Как готовиться к HSK 3.0? 📎
На данный момент вышла единственная официальная серия для подготовки - New HSK Course (新HSK教程).
По структуре серия очень похожа на HSK Standard Course, грамматика подается поверхностно, не достаточно заданий на практику устной речи.
Но есть ряд приятных изменений: в новой серии более живые и современные диалоги. Добавили небольшие задания к текстам. К учебнику есть видеокурс с дополнит…
Подборка каналов в 小红书 🩷
小红书 - китайский нельзяграм, помогает сидеть в соц сетях без чувства вины. Да, просидел там 3-4 часов, но зато потренировал китайский 🤣.
Каналы которые рекомендуют ученики нашей школы:
❤️мемы
☺️@小猪咪蹦子
☺️@半半仙的橘宝
☺️@麻辣黑白狸
🟣комиксы
☺️@黄啾啾是大鸟
☺️@土逗泥和橘稚皮
☺️@阿派Apai
☺️@一画万物
🗞️для высоких уровней:
☺️@每日精选外刊
☺️@TED精选阅读-女性成长
☺️@精选外刊
👋你今天是哪只猫?
Nǐ jīntiān shì nǎ zhǐ māo?
Какой ты котик сегодня?
☺️心里难受的猫
xīnlǐ nánshòu de māo
страдающий котик
☺️保密的猫
bǎomì de māo
котик, который хранит секрет
☺️享受生活的猫
xiǎngshòu shēnghuó de māo
котик, который наслаждается жизнью
☺️贫困的猫
pínkùn de māo
бедный котик
☺️享受音乐的猫
xiǎngshòu yīnyuè de māo
котик, который наслаждается музыкой
😺Подборка учебников общего курса китайского✨
🔠Developing Chinese - классика в обучении китайскому, книги разделены по навыками: общий курс, чтение, письмо, аудирование и говорение.
🔠Плюсы:
🔴отработка фонетики
🔴комплексная подача материала
🔴тексты о культурной и общественной жизни Китая
🔴прикладные задания
🔴отработка всех навыков
🔴подходит для подготовки в HSK
🔠Минусы:
🔴быстрый скачок на средний уровень
🔴много лек…
🧘现在是工作日下午,你为什么没有在上班?
Xiànzài shì gōngzuò rì xiàwǔ, nǐ wèishéme méiyǒu zài shàngbān
Самый разгар рабочего дня, почему вы не на работе?
☺️因为过来摆地摊呀
Yīn wéi guòlái bǎi dìtān ya
Приехал открывать бизнес
☺️自己当老板很开心啊
Zìjǐ dāng lǎobǎn hěn kāixīn a
Я сама себе начальник, и очень этому рада
☺️我是个学生, 来这里留学
Wǒ shìgè xuéshēng, lái zhèlǐ liúxué
Я иностранный студент
☺️编辑, 狂写, 榨干脑子
Biānjí, kuáng xiě, zhà gàn nǎozǐ
Я редактор, п…
😁28❤5👏4custom 57785209965751871342👀1👍1
Showing the 12 most recent of 28 posts we hold for @miaoxuexiao. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
HaoHan / ХаоХань - Китай и китайский язык @hao_han · 39,468 Telegram ranks this channel #3 of 84 here — alongside 83 others — read 2 September 2026
Китайский язык @chinese_lingvistika_slovar · 57,020 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 23 August 2026
Китайский язык с китиками @kittychinaa · 28,247 Telegram ranks this channel #10 of 93 here — alongside 92 others — read 9 September 2026
⛩ ЗА КИТАЙСКОЙ СТЕНОЙ @ya_diya · 21,368 Telegram ranks this channel #41 of 95 here — alongside 94 others — read 23 September 2026
Китайский язык и культура | Shanshan Laoshi @Shanshan_Laoshi_Chinese · 18,799 Telegram ranks this channel #56 of 96 here — alongside 95 others — read 1 October 2026
Байки лаовая®️. Китай. Новости @cn_laowai · 20,563 Telegram ranks this channel #60 of 95 here — alongside 94 others — read 27 September 2026
Китайская Панорама @chinesepanorama · 18,885 Telegram ranks this channel #86 of 97 here — alongside 96 others — read 4 October 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Miao Xuexiao: школа китайского языка” (@miaoxuexiao), 6,858 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/miaoxuexiao.
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.