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Древнекитайское мракобесие

@traditional_china

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

540subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002525108756
TypeChannel
Username@traditional_china
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/traditional_china

Growth

539540539.56 Aug 2026, 13:23 — 539 subscribers6 Aug 2026, 18:19 — 539 subscribers7 Aug 2026, 09:22 — 540 subscribers6 Aug 2026, 13:237 Aug 2026, 09:22
3 measurements taken within a single day, net +1. 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 539–540 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 09:22540+1
6 Aug 2026, 18:19539no change
6 Aug 2026, 13:23539first reading

Engagement

19 posts held, back to 11 February 2026the 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
48.7%
avg views ÷ 540 subscribers
Avg views / post
263
1 post measured
Reaction rate
15.2%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 28 July 2026
Posts held19 (11 February 202628 July 2026)
Views total263
Reactions total40
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:19 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

807 reactions across 19 posts, in 20 distinct kinds. The most used accounts for 44.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
36244.9%
🔥23829.5%
❤‍🔥708.67%
👍263.22%
🍌222.73%
💘131.61%
😱121.49%
🥰111.36%
😁101.24%
🤩101.24%
😍91.12%
🦄50.62%
🤣40.496%
👀30.372%
👏30.372%
20.248%
🍓20.248%
🕊20.248%
🙏20.248%
👌10.124%

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 19 of the 19 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 807reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 11 February 2026 to 28 July 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

28 Jul 2026, 12:50 UTC263 views40 reactionsread 6 August 2026
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Метеорология по-ханьски Если считать экономичность научной теории (то есть, способность объяснять вещи предельно лаконично) её главным достоинством, то в ряду достойнейших, безусловно, должны занять своё место представления о причинах погодных явлений, бытовавшие в Китае эпохи Хань 漢 (206/202 до н.э. – 220 н.э.). Практически любой каприз природы объяснялся тем или иным взаимодействием двух сил – инь 陰 и ян 陽. Это м

18🔥8❤‍🔥6🦄4💘3🍌1

14 Jul 2026, 12:49 UTC782 views32 reactionsread 6 August 2026
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Your own personal Confucius В каждом из нас живёт Конфуций. Причём не образно, а буквально. Маленький такой Конфуций, сидящий в нижнем Киноварном поле (даньтянь 丹田) – специальной части тела, расположенной внизу живота. По крайней мере, так считали даосы первых веков нашей эры, составившие текст «Лао-цзы чжун цзин» 老子中經 («Срединный канон Лао-цзы») – эдакий религиозный сиквел знаменитого «Дао дэ цзина» 道德經 («Канона Да

🔥20😁83🍌1

7 Jul 2026, 13:01 UTC625 views82 reactionsread 6 August 2026
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Прелестное бессмертное созданье О том, что в традиционном Китае (как и в любом другом патриархальном обществе) сыновья ценились больше, чем дочери, знает, наверное, каждый. Ещё в одной из шанских гадательных надписей XIII в. до н.э., посвящённой беременности знаменитой царской супруги Фу-хао 婦好, содержится обидное послесловие: «[Рождение было] неблагоприятным. [Это] была девочка» (бу цзя вэй нюй 不嘉隹女). Тем не менее,

39❤‍🔥23🔥11🥰5💘2🍌1👍1

14 Jun 2026, 10:37 UTC642 views24 reactionsread 6 August 2026
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Добродетельная кошка (но таковая лишь благодаря хозяину) В составленной Сыма Гуаном биографии Чёрной Тигрицы вдумчивый читатель мог обратить внимание на пассаж с критикой Хань Вэнь-гуна 韓文公, создавшего «Рассуждение о том, как кошки друг друга кормили», в котором их удивительное поведение приписывалось «воздействию добродетели Бэйпинского принца». Собственно, Хань Вэнь-гун этот – никто иной, как Хань Юй 韓愈 (768–824)

21🍌2🔥1

1 Jun 2026, 10:00 UTC480 views29 reactionsread 6 August 2026

Продолжение. Начало выше. Увы! Среди людей есть такие, которые не знают человечности и справедливости, падки до наживы, борются [с другими, чтобы] заполучить [её], и губят людей ради собственной выгоды. Услыхав о поступках Чёрной Тигрицы, разве могут [они] не испытать стыда? Сыма Сян-жу говорил: «Среди [живых] существ есть такие, кто, [относясь] к одному виду, [обладает] различными способностями, поэтому [за] силу х

24🍌2🕊2🍓1

1 Jun 2026, 10:00 UTC411 views29 reactionsread 6 August 2026
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Историческая кошка Едва ли вы когда-нибудь задавались вопросом о самой ранней зафиксированной в мировой истории дате смерти кошки с точностью до дня. Я вот точно не задавался, пока внезапно её не обнаружил. Так вот, первая кошка, дата смерти которой нам известна, умерла 28 ноября 1084 года. И звали её Чёрная Тигрица, а по-китайски просто Шу 虪 (это в современном чтении, а при её жизни – что-то вроде «Сьюк»). Жизнь её

20😍5❤‍🔥2🍌1🥰1

30 May 2026, 12:42 UTC418 views41 reactionsread 6 August 2026
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Лягушачий бессмертный В «Ле сянь цюань чжуань» 列仙全傳 («Полное [собрание] выстроенных по порядку преданий о бессмертных», 1600 г.) содержится следующая история (картинка, кстати, оттуда же): 侯先生不知何許人。宋大中閒,貨藥京師,年四十餘,無鬚眉,而瘤贅隱隱遍肌體。嘗醉,遇夜,即與乞丐同處。有馬元者,夏月隨之出閶闔門。侯浴池中,元因就視,乃一大蝦蟇。元遽退引。侯浴,出著衣,元前揖之。侯笑曰:子適見我乎?乃召元飲,洒肆中,出藥一粒,曰:服之壽百歲。自此不復見。有自蜀中來者,見其貨藥于市。 Учитель Хоу был человеком неизвестно откуда. В [годы правления под девизом] Да-

24🔥10👍5🍌1💘1

22 May 2026, 12:26 UTC541 views44 reactionsread 6 August 2026
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Потерявшаяся кошка Никогда не угадаете, в какой стране впервые в мире зафиксировано объявление о пропаже кошки. Хотя, с учётом тематики сего канала, вероятно, уже догадались. В «Цин и лу» 清異錄 («Честные записи об удивительном») Тао Гу 陶穀 (903–970), хотя относительно его авторства существуют сомнения, содержится следующая короткая запись: 余在輦轂,至大街見揭小榜曰:「虞大博宅失去貓兒,色白,小名白雪姑。」 Я, будучи в столице, пришёл на большую улиц

22🔥17👀3❤‍🔥1👍1

13 May 2026, 11:56 UTC573 views39 reactionsread 6 August 2026
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Неудавшаяся кошка (с интересным хвостом) О Ци Бай-ши 齊白石 (1864–1957), одном из самых известных китайских художников первой половины XX в., можно сказать очень и очень многое. Но нам в данном случае важны два факта: он любил котиков и был весьма самокритичен. Однажды зимой 1927–1928 гг. он решил скопировать кошку с картины одного из своих современников – Ван Чжэня 王震 (официальное имя И-тин 一亭, 1867–1938), также изве

23🔥5❤‍🔥4😍3👍2🍌1🥰1

7 May 2026, 19:20 UTC524 views36 reactionsread 6 August 2026
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Продолжение. Начало выше. Стоит отметить, что приведённый выше инцидент описан не в каком-то собрании баек, а, на секундочку, в серьёзном историческом сочинении – составленном в середине VII в. «Бэй ши» 北史 («История северных [династий]») – и практически дословно повторяет текст чуть более ранней «Суй шу» 隋書 («Книга [об эпохе] Суй», 636 г.). Описываемые события относятся к 598 г., периоду правления основателя государ

22🔥12🍌2

7 May 2026, 19:19 UTC464 views20 reactionsread 6 August 2026

Демоническая кошка Загаженная алхимическая печь – это, конечно, неприятно, но куда больше непрятностей может принести не обычный котик, а «кошачий дух» (мао гуй 貓鬼): [Сановник Дугу] То по природе [своей] любил еретический Дао-Путь, а его бабка по матери, урождённая Гао, прежде служила кошачьему духу. [Ко времени То тот] уже убил его дядю по матери, Го Ша-ло, и тогда перебрался в его, [То], дом. Верховный [правитель

😱126🍌2

Showing the 12 most recent of 19 posts we hold for @traditional_china. 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 — 166,182 of 1,480,975entries 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 2 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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“Древнекитайское мракобесие” (@traditional_china), 540 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/traditional_china.

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.