8 measurements spanning 7 days, net -20. 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 14,753–14,780 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 14:15
14,756
-1
13 Aug 2026, 01:27
14,757
-2
11 Aug 2026, 22:47
14,759
-7
10 Aug 2026, 23:51
14,766
-1
9 Aug 2026, 21:12
14,767
-4
8 Aug 2026, 17:37
14,771
-6
7 Aug 2026, 16:03
14,777
+1
7 Aug 2026, 09:45
14,776
first reading
Engagement
21 posts held, back to 30 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 20 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.3%
avg views ÷ 14,756 subscribers
Avg views / post
1,810
21 posts measured
Reaction rate
7.76%
reactions ÷ views · ER floor
Posts in window
21
of 21 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 20 of 21 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 August 2026
Posts held
21 (30 July 2026 – 14 August 2026)
Views total
37,976
Reactions total
2,765
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 08:41 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.
What this channel posts
Photos
≈3,670
Videos
≈236
Links
≈612
Lifetime counters from Telegram’s own channel header, read 15 August 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
10s
Average length
10s
Measured directly from 1 video 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
2,765 reactions across 20 posts, in 22 distinct kinds. The most used accounts for 41.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,144
41.4%
💔
510
18.4%
❤🔥
214
7.74%
😁
200
7.23%
😱
144
5.21%
🙏
133
4.81%
🔥
85
3.07%
🤣
82
2.97%
😢
58
2.10%
👏
45
1.63%
🍓
34
1.23%
🤯
32
1.16%
💘
17
0.615%
🍾
13
0.47%
🐳
13
0.47%
🌚
10
0.362%
💯
10
0.362%
👍
8
0.289%
🤬
8
0.289%
💅
2
0.072%
2 further kinds
3
0.108%
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 20 of the 21 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 2,765reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 30 July 2026 to 14 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.
Ещё из важных новостей!
Вы знаете, что всё лето я вела индивидуальные занятия, я подготовила разговорную программу для HSK 4/5/6 из 12 занятий, и на каждом из них мы обсуждали одну из тем, которые встретятся в новом формате экзамена.
Сейчас летняя программа почти закончена, у всех осталось по паре занятий 💖
А я всё это время делала записи и отмечала ошибки, которые чаще всего повторяются у учеников, за лето у мен…
В этой жизни везде лезвия 🔪🩸🗡️
Сейчас готовлюсь к эфиру в воскресенье, на котором мы будем разбирать новый китайский сленг и самые обсуждаемые новости✨ и вот какое выражение понравилось мне больше всего!
Начнем издалека, в китайском давно есть выражение 👇🏻
🔪好钢用在刀刃上
hǎo gāng yòng zài dāorèn shàng
Хорошую сталь используют на лезвии ножа
Смысл в том, что самые хорошие и ценные ресурсы нужно направлять туда, где они де…
Неочевидные плюсы жизни в России:
1.книги из фикс прайс по 300₽❤️ я купила себе всю серию семи сестер, правда первой книги в фикс прайсе не было, а второй нет даже на озоне 🙈
2.блинчики из блинберри и котлеты по-киевски( это все наши Волгоградские 特色👌🏻)
А теперь о минусах:
1.очень плохой и дорогой алкоголь(или это плюс?)
2.ОЧЕНЬ дорогая и некачественная одежда😭 я немного избалована Италией, я привыкла к вещам из…
Только сегодня я узнала, что в Китае делают иглоукалывание 针灸 zhēnjiǔ и животным 🐕🐈⬛
Оказывается, в Китае существует даже целое отдельное направление 中兽医 zhōngshòuyī традиционная китайская ветеринарная медицина. И в некоторых крупных ветклиниках животных действительно лечат иглоукалыванием , массажем 推拿 tuīná, китайскими препаратами и даже прижиганием 艾灸 àijiǔ.
Что ещё удивительнее, при Китайском сельскохозяйствен…
Как выглядит моя жизнь сейчас ✨
Я очень много работаю, у меня много индивидуальных занятий и почти каждый выходные я провожу эфиры в своих клубах, а в перерывах между работой собираю ягоды, рву сорняки, кормлю кур, гуляю с собаками🐕🐓🐈
Я ещё не успела сказать,что теперь живу даже не в самом Волгограде, а в деревушке рядом с ним, тут невероятные виды💔 почти что ретрит
Тут ещё, оказывается, и скандал, о котором я не знала! Я искала фотки всех мужчин в сяохоншу, я сама не разбираюсь в китайских актерах и я не заметила, что 6 и 1 это один и тот же человек(на обоих фото номер 6), разный ракурс и именно эта фотка вышла мне первой в запросе в сяохоншу по имени 张哲瀚.
А оказывается, этот актер уже давно отменен в Китае, вот почему по запросу его имени выдало другого человека.
А сам 张哲瀚 п…
12 самых красивых мужчин Китая ❤️🇨🇳✨
Все мужчины взяты из международного развлекательного рейтинга The 100 Most Handsome Faces, который ежегодно составляет проект TC Candler and The Independent Critics, туда входят знаменитости из со всего мира, в 2025 году туда вошли 12 китайцев, именно про них я и сделала пост👌🏻
(Продолжение в комментариях)
Showing the 12 most recent of 21 posts we hold for @chineseaudio. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
В воду одновременно упала живая рыбка и 100 юаней, что вы спасете первым?
Рыбку11%
100 юаней89%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 21 most recent posts we hold, published 30 July 2026 to 14 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 427,991 of 1,480,688entries 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
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
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Chinese with Daria 💖 Китайский язык высокий уровень” (@chineseaudio), 14,756 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/chineseaudio.
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.