Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 15 September 2026 and assigned it the closest of 31 fixed categories, at 70% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
14 measurements spanning 39 days, net +76. 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 2,636–2,734 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 22:41
2,723
+2
12 Sept 2026, 09:41
2,721
+7
8 Sept 2026, 14:00
2,714
+21
3 Sept 2026, 14:16
2,693
+3
31 Aug 2026, 02:47
2,690
+12
27 Aug 2026, 16:59
2,678
+2
25 Aug 2026, 00:37
2,676
+3
21 Aug 2026, 16:39
2,673
+5
18 Aug 2026, 22:38
2,668
+3
15 Aug 2026, 14:57
2,665
+5
11 Aug 2026, 18:38
2,660
+6
8 Aug 2026, 13:13
2,654
+7
7 Aug 2026, 17:48
2,647
no change
7 Aug 2026, 17:36
2,647
first reading
Engagement
20 posts held, back to 4 February 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 41s
Average length
1m 51s
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
1,055 reactions across 20 posts, in 13 distinct kinds. The most used accounts for 47.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
505
47.9%
❤
287
27.2%
👍
156
14.8%
👏
44
4.17%
😍
42
3.98%
👌
5
0.474%
👀
4
0.379%
😱
4
0.379%
⚡
2
0.19%
🙏
2
0.19%
🥰
2
0.19%
🎉
1
0.095%
🤯
1
0.095%
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 20 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 1,055 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 February 2026 to 7 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
4
of 20 we hold a reading for · 20%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nina_kolosova_china. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 4 February 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
И как финал список приложений, которые облегчат вашу жизнь в Китае:
Вичат – базовая база, скачать и зарегистрироваться ДО поездки, найти контакты универа там, а еще лучше найтись там с другими иностранными студентами из вашего универа, у них по любому есть общие чаты студентов, пусть вас добавят туда, чтобы вы могли уточнять мелкие бытовые вопросы или спрашивать куда идти и что делать, если универ на вас положил бол…
Это были основные пункты ☝️
Еще возможно вам нужно будет оформить страховку (по стипендии бесплатно, на платном 800ю). Этот вопрос уточняйте у универа, какую именно вам надо и где
Для получения стипендии и просто для удобства еще нужно сделать банковскую карту. Идите в тот банк, который скажет вуз. Если говорит в любой, то можете в любой. Bank of China 中国银行 – что-то вроде нашего сбера, то есть главный банк Китая, е…
Дальше скорее всего вуз погонит вас на медосмотр. Причем не абы в какую больничку, а в определенную
И да, даже если у вас есть медосмотр из своей страны, вас все равно могут погнать, ибо им «нужна вот именно та бумажка именно из той больницы». На медосмотр вас могут отвезти организованно, либо же сами поедете, вам скажут куда
С собой возьмите паспорт и несколько фото. И вообще, распечатайте себе кучу разных уже име…
Итак, самое важное, а именно визу, получили. Купили билеты и летим в Китай. Кстати, некоторые авиалинии, например, AirChina бесплатно предоставляют место для второго багажа студентам. Так что если вы везете на себе полдома – можете порыться на сайтах китайских авиакомпаний
ДО прилета в Китай вам уже желательно нарыть Вичат контакт вашего куратора или офисного работника, который ответственен за иностранных студентов.…
«Мама, я еду в Китай учиться и очень переживаю, что да как»
Пост для тех, кто только что поступил в китайские университеты и теперь сидит на чемоданах и успокоительных 😁
Ну во-первых, друзья, поздравляю! 🥳 Вы проделали большой путь, и вы большие молодцы!
А во-вторых, хочу поделиться с вами опытом своих приездов в три университета Китая
Сразу дисклеймер: хоть я и учусь в уже третьем по счету университете, но все уни…
Крч, имеем то, что имеем
Иероглифы действительно стали проще. Но любой китаист вам скажет: после условного 2 уровня языка, сколько там палочек в иероглифе – уже не важно. В Китае и сейчас полно слов с овердофига чертами и ниче, как-то же учим, как-то же запоминаем. Зато связь с историей потеряна и теперь, чтобы читать древние тексты по факту нужно изучать новую письменность
К тому же, не проведи Китай эту реформу, г…
136. Китайский традиционный или китайский упрощенный? Что выбрать и в чем разница?
В 21 веке, благодаря развитию технологий теперь можно не бояться ехать в другую страну, не зная языка, ведь есть ✨ОН✨ – онлайн переводчик! Вбиваешь, что тебе нужно, суешь под нос китайцу и случается магия
Однако при установке онлайн переводчика у людей неподготовленных возникает ступор: а какой китайский выбрать-то? Традиционный или …
135. Сямэнь* – мой новый дом
- Ты сейчас вообще где? - спрашивают меня
- В Сямэне
- Это где и как тебя туда занесло?
Что ж, подробно отвечаю и рассказываю, как сюда попала
После окончания магистратуры в Юго-Восточном университете Нанкина я решила, что хочу продолжить свое обучение в Китае. Однако тремор рук, дергающийся глаз и пара седых волос после защиты диплома мягко намекнули мне, что возможно не стоит бросать…
Showing the 12 most recent of 20 posts we hold for @nina_kolosova_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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Отлично! Теперь разбираемся с таксистом.
Он понял, что вам надо на вокзал, но не знает какой, потому что в билете все на английском, а в буквы он не умеет. Он показывает названия иероглифами. Куда едем, если нам нужно на Сианьский Западный?
西安北站6%
西安站6%
西安西站84%
西安东站4%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Окей, для себя поняли 👌
Теперь воюем с приложениями:
Мне нужно купить билет с Пекинскинского Западного вокзала, но Beijing West Station приложение упрямо не выдает, а лишь предлагает следующие варианты. Какой я выберу?
Beijingnan2%
Beijingbei6%
Beijingxi83%
Beijingdong8%
Shares as published, totalling 99%. 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 20 most recent posts we hold, published 4 February 2026 to 7 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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“КНР в КНР | Жизнь и учёба в Китае 🇨🇳” (@nina_kolosova_china), 2,723 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/nina_kolosova_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.