2 measurements taken within a single day. 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 84–86 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 14:15
85
no change
10 Aug 2026, 14:01
85
first reading
Engagement
13 posts held, back to 18 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
152.9%
avg views ÷ 85 subscribers
Avg views / post
130
13 posts measured
Reaction rate
10.7%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 11 of 13 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 10 August 2026
Posts held
13 (18 July 2026 – 10 August 2026)
Views total
1,689
Reactions total
147
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 14:15 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
190
Videos
4
Links
19
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
147 reactions across 11 posts, in 15 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
49
33.3%
💔
17
11.6%
🍓
15
10.2%
🔥
13
8.84%
🫡
11
7.48%
❤🔥
8
5.44%
👍
6
4.08%
😁
6
4.08%
custom 5445264455329918000
5
3.40%
custom 5445391732390765899
5
3.40%
custom 5445116493706572208
4
2.72%
💯
4
2.72%
custom 5458736092700223158
2
1.36%
🆒
1
0.68%
😱
1
0.68%
Custom emoji. 4 of the rows above are 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 counts beside them areTelegram’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 11 of the 13 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 147reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 18 July 2026 to 10 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.
Я в процессе написания диплома про него сюда писала-писала, а по итогам так до сих пор не отчиталась! 🧐
Если вам интересно, как я дошла до месяца где я нон-стоп составляла табличку с пересказами 213-ти докладов и экстренно разбиралась в особенностях рельефа и климата провинции Фуцзянь, и что у меня в итоге получилось, то всем бежать в канал нашей лаоши и читать !!!! 🥰
https://t.me/adurymanova/117
Приходишь вечером домой, а тебе говорят «Давай-ка твоё аудирование китайского проверим», после чего вы весь вечер смотрите интервью с Вэй И (второй шахматист Китая после Дин Лиженя) 🤔
Первый император династии Мин, Чжу Юаньчжан 朱元璋 (император Хунъу 洪武帝), ввёл строгую систему именования потомков, по которой в личных именах каждой ветви и каждого поколения потомков должны были использоваться иероглифы с ключами пяти стихий по кругу:
木 (дерево) → 火 (огонь) → 土 (земля) → 金 (металл) → 水 (вода)
По одному примеру среди потомков, ставших императорами Мин:
木: Чжу Ди 朱棣 (3-й император)
火: Чжу Юньвэнь 朱允炆 (…
🗞 ИКВИА essentials: чем занимаются студенты помимо корпения над учебниками?
Для студентов ИКВИА экспедиции и практики — отличная возможность применить полученные знания в реальных условиях, будь то раскопки древних городищ или работа с архивными материалами. Читайте об этом в наших карточках!
И это еще не все! Больше о деятельности студентов и преподавателей ИКВИА можно узнать на сайте ИКВИА в разделе новостей и на…
🪷 «Чтобы понимать Китай, нужно научиться читать его прошлое»
В 2026 году ИКВИА ФГН ВШЭ проводит набор на бакалаврскую образовательную программу «Китай: язык, культура, общество». Одной из ее особенностей является изучение китайского языка не только в его современной форме, но и в историческом развитии. Почему классические тексты невозможно по-настоящему понять, опираясь лишь на современные переводы, как цифровые тех…
Мой абсолютный фаворит это Maison Margiela matcha meditation 🍵🤩🪷🪷
Аромат вообще-то вдохновлён Японией, но для меня это светлейшие воспоминания об отдыхе в Китае. Таком дурацком, туристическом, весёлом отдыхе. Холодненькая овсяная матча из Hey Tea, которую ты пьешь после того, как час шаталась по жаре в городе Линшуй острова Хайнань, пока не дошла до единственного на весь город приличного ТЦ. Какие-то такие воспомина…
Друзья, я решила начать новую небольшую рубрику и иногда писать про всякие интересные парфюмки! Я пока конечно не кандидат парфюмерных наук, но этой темой очень интересуюсь!!🧴😀🫶🌷
Каждый раз когда я гуляю по парфюмерному отделу, я пытаюсь найти духи, вдохновленные Китаем. В идеале именно Китаем, конечно, но в целом композиции на тему Восточной Азии я тоже люблю. Мне всегда очень интересно, как парфюмеры представляю с…
Showing the 12 most recent of 13 posts we hold for @paulinechir. 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 — 294,017 of 1,350,102entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“полинские цзюани” (@paulinechir), 85 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/paulinechir.
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.
