3 measurements spanning 3 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 285–287 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 11:39
287
+2
8 Sept 2026, 22:22
285
no change
8 Sept 2026, 21:47
285
first reading
Engagement
10 posts held, back to 31 March 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
42.7%
avg views ÷ 287 subscribers
Avg views / post
123
6 posts measured
Reaction rate
6.26%
reactions ÷ views · ER floor
Posts in window
6
of 10 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 2 September 2026
Posts held
10 (31 March 2026 – 2 September 2026)
Views total
735
Reactions total
46
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Sept 2026, 22:22 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.
Reaction mix
95 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 37.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
36
37.9%
❤🔥
16
16.8%
🔥
16
16.8%
🎉
12
12.6%
👍
10
10.5%
😍
4
4.21%
🕊
1
1.05%
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 10 of the 10 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 95 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 31 March 2026 to 2 September 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.
РУСАЛОЧКА
Знакомая адаптированная история Disney поможет легче погрузиться в чтение и пополнить свой словарный запас 🧜♀️
✔️ полный текст на китайском языке с пиньинь - удобно читать даже новичкам
✔️ яркие иллюстрации
✔️ живая лексика, которая формирует настоящую языковую базу
✔️ классический сюжет Disney, знакомый с детства
Подходит:
👍🏻 для начинающих - благодаря пиньинь можно читать с первого уровня (HSK1-2)
👍🏻 …
КОМИКС «СПАНЧ БОБ» часть 1
Находка для тех, кто хочет изучать язык не через скучные упражнения, а через эмоции, юмор и любимых персонажей 🐙🪼🦀🙌🏻
Внутри:
✔️живые разговорные диалоги
✔️современная повседневная лексика
✔️эмоциональная подача, благодаря которой фразы запоминаются легче
✔️чтение превращается в настоящее удовольствие, а не в «зубрежку hsk».
Комикс помогает привыкать к естественному китайскому языку через…
СБОРНИК КОРОТКИХ СКАЗОК С ПИНЬИНЬ
Здесь вы не просто читаете истории на китайском, а постепенно погружаетесь в Китай: знакомитесь с новыми иероглифами, которые шире программы и редко встречаются в учебниках, тренируете понимание текста и закрепляете живую лексику на практике.
В книге есть задания и вопросы, которые помогают лучше понять сюжет и развивать навык письма. Также приведен пример сочинения по прочитанному…
Вакансия|Устная практика|Знакомство
招聘求职‖口语练习‖交友
Здесь вы можете найти актуальные вакансии для переводчиков 🇷🇺🇨🇳
Занимайтесь разговорной практикой с носителями китайского языка.
Заводите друзей из Китая.
Присоединяйся к чату ТГ по ссылке
https://t.me/+dPibHGAX0As3NGNi
НОВИНКА! Классика китайской литературы!
ЗАПИСКИ О КОШАЧЬЕМ ГОРОДЕ 🐈🐈
Одним из самых известных сочинений Лао Шэ является фантастический роман «Записки о Кошачьем городе». Также автор ценится за использование народного разговорного языка. Лао Шэ был знатоком разговорной речи, его произведения завоевали широкое признание. Множество сюжетов автора вошло в народную память как произведения фольклора.
В результате корабл…
ТЕТРАДЬ ДЛЯ ЗАПИСИ ИЕРОГЛИФОВ
Мы на 100% убеждены в том, что красивая и функциональная канцелярия влияет на учебный настрой! Особенно в изучении китайского! 😉
Советуем присмотреться к этой серии) В ней милейшие тетради из классной плотной бумаги нежно желтого цвета, которые идеально подойдут для написания сочинений или в качестве прописи.
Формат: А5 (36 листов)
Цена: 190₽
Еще больше прописей и тетрадей 👉 В КАТАЛ…
❤5❤🔥2👍2😍1
Showing the 10 most recent of 10 posts we hold for @my_haoshu. 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.
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.
Вакансии в Москве и на удаленке @rabota · 28,685 Telegram ranks this channel #33 of 55 here — alongside 54 others — read 8 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“MY HAOSHU | Все для китаистов” (@my_haoshu), 287 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/my_haoshu.
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.