Telegram RegisterThe public register of Telegram

Channel

МАНДАРИНОВЕД

@mandarinoved_cn

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

79subscribers

+0 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003705065738
TypeChannel
Username@mandarinoved_cn
DescriptionДипломированная прогульщица @daryabanana о професии востоковеда: опыт исследователя, немного лаоши и немного экспортера. По воскресеньям отчеты по работе над диссером🍊 Будет полезно любителям мемов, Азии и китайской культуры. Обещаю, животики надорвете!
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/mandarinoved_cn

Growth

798 Aug 2026, 11:46 — 79 subscribers9 Aug 2026, 19:30 — 79 subscribers8 Aug 2026, 11:469 Aug 2026, 19:30
2 measurements spanning 1 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 78–80 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 19:3079no change
8 Aug 2026, 11:4679first reading

Engagement

13 posts held, back to 13 July 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
83.7%
avg views ÷ 79 subscribers
Avg views / post
66.1
10 posts measured
Reaction rate
5.55%
reactions ÷ views · ER floor
Posts in window
10
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 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held13 (13 July 20263 August 2026)
Views total661
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 19:30 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
108
Videos
5
Links
31

Lifetime counters from Telegram’s own channel header, read 9 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.

Video runtime
1m 24s
Average length
42s

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

36 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2158.3%
❤‍🔥1027.8%
🥰411.1%
🤝12.78%

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 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 36reactions 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 13 July 2026 to 3 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.

Recent posts

3 Aug 2026, 09:05 UTC37 views3 reactionsread 9 August 2026
Photo

Такое вчера в серфе делали 💔🖤

❤‍🔥3

29 Jul 2026, 07:31 UTC77 views1 reactionsread 9 August 2026

Коллеги, в сентябре возвращаюсь в рабоче-командировочный режим (будь он неладен) и лечу на бизнес-миссию в Гонконг Мне страшно интересно, даже боюсь, что этот черт может покорить меня больше, чем любовь жизни всей моей Шанхай Хотя господи, кого я обманываю, не образовалась еще та Вселенная, которую я полюблю больше Шанхая 😂 But still по Гонконгу что-то известно? Кто-нибудь явки/пароли сдаст? 🤨

1

27 Jul 2026, 10:53 UTC63 viewsread 9 August 2026
Forwarded from @nidemimiFile

🍓На волне приезда в Мо Яня хочу поделиться его книгой на китайском, которая мне понравилась особенно с точки зрения разницы поколений и той самой реформы «одна семья один ребенок».

24 Jul 2026, 07:48 UTC75 views6 reactionsread 9 August 2026

Продолжаю жесточайше гастролировать в летний безкомандировочный период, пробуем формат мк по каллиграфии в серфе. Приходите 🫶🏻 Если зайдет, планируем что-то такое регулярно повторять💘

4🤝1🥰1

24 Jul 2026, 07:46 UTC67 views1 reactionsread 9 August 2026
Forwarded from @surfcoffeexmskPhoto

МЕРОПРИЯТИЯ НЕДЕЛИ Surf Coffee® × Cave Новокузнецкая, 6 Среда // 22 июля // 19:00 Литературный клуб Читаем «Ужасных детей» Жана Кокто и «Повелителя мух» Уильяма Голдинга, будем обсуждать их в связке друг с другом. 10 мест, участие — покупка напитка Четверг // 23 июля // 19:00 Мастер-класс по созданию украшения. Создадим летнее настроение и новый аксессуар(берелок/обвес/барслет) с помощью разнообразных бусин, шнуро

1

20 Jul 2026, 12:17 UTC75 views1 reactionsread 9 August 2026

https://www.vedomosti.ru/politics/news/2026/07/20/1215011-bezvizovii-vezd Ну вы глядите че происходит вообще 😎😎

1

20 Jul 2026, 09:58 UTC75 views2 reactionsread 9 August 2026
Photo

это мы вчера на книжном клубе «Забуйков» обсуждали «Лягушек» Мо Яня! во-первых, ходить в качестве лектора/экспера/мастера на разные штуки мне нравится, это был очередной позитивный опыт. девочки были очень классные и вовлеченные! а еще их было удивительно много, человек наверное 20 или больше. меня восхищают люди, которые осознанно выбирают что-то из азиатчины, будь то литература, кино, язык или дунхуа. это сложно и

2

19 Jul 2026, 04:58 UTC71 views1 reactionsread 9 August 2026
Video

Востоковед Алексей Маслов объяснил, в чем заключается китайская мечта и чем она отличается от американской По словам Маслова, американская мечта основана на личном успехе, тогда как китайская — на процветании общества вместе с личным благополучием. "И это не просто лозунг. Я много раз лично говорил с китайцами, которым очень нравится эта идея", — отметил Маслов. ✅ Полную версию смотрите в ВК и RUTUBE 📌Подписаться

1

17 Jul 2026, 08:22 UTC64 views15 reactionsread 9 August 2026
Photo

Коллеги, маааааленький фото и видео отчет о том, как прошла моя лекция про азиатскую анимацию и мк по каллиграфии на «бессонице»! да, я вещаю, стоя на сене в черевичках мужа моей подруги 43го размера, и что вы мне сделаете?) какой исследователь, такие и условия 😂 но если без шуток, чудесный опыт, мне понравилось, зовите еще! автор фотоотчетов - мой концертный директор и самый верный участник моих активностей - сес

❤‍🔥75🥰3

13 Jul 2026, 14:45 UTC102 views2 reactionsread 9 August 2026
Photo

📖 Напоминаем про июльский книжный клуб — тема будет непростой, но интересной «Лягушки» Мо Янь — роман о моральном выборе, ответственности, власти, материнстве и цене решений, которые принимаются «ради общего блага». История постоянно заставляет задаваться вопросом: а как бы поступил я? Чтобы глубже разобраться в книге, мы пригласили Дарью Болдыреву — исследовательницу китайской культуры, преподавателя китайского яз

2

Showing the 12 most recent of 13 posts we hold for @mandarinoved_cn. 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 — 971,265 of 1,169,250entries 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

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.

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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“МАНДАРИНОВЕД” (@mandarinoved_cn), 79 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/mandarinoved_cn.

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.