Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 45% 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 the other topics.
Growth
55 measurements spanning 90 days, net +449. 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 15,910–16,493 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
5 Nov 2026, 16:54
16,426
+3
4 Nov 2026, 13:59
16,423
+1
2 Nov 2026, 18:09
16,422
+4
1 Nov 2026, 16:20
16,418
+8
29 Oct 2026, 12:17
16,410
+4
28 Oct 2026, 13:59
16,406
-1
27 Oct 2026, 14:56
16,407
+15
26 Oct 2026, 13:27
16,392
-6
25 Oct 2026, 16:29
16,398
-1
24 Oct 2026, 15:08
16,399
+7
23 Oct 2026, 18:27
16,392
+11
22 Oct 2026, 15:08
16,381
-1
21 Oct 2026, 11:40
16,382
+9
20 Oct 2026, 11:45
16,373
-6
19 Oct 2026, 08:19
16,379
-2
18 Oct 2026, 10:46
16,381
+1
17 Oct 2026, 13:06
16,380
+3
16 Oct 2026, 15:40
16,377
+12
15 Oct 2026, 17:11
16,365
+11
14 Oct 2026, 18:50
16,354
first reading
Engagement
68 posts held, back to 17 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.33%
avg views ÷ 16,426 subscribers
Avg views / post
875
23 posts measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
23
of 68 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 22 of 23 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 5 November 2026
Posts held
68 (17 July 2026 – 5 November 2026)
Views total
20,129
Reactions total
431
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 16:34 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
1,283 reactions across 67 posts, in 12 distinct kinds. The most used accounts for 27.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
347
27.0%
❤
310
24.2%
👍
289
22.5%
💯
123
9.59%
👏
81
6.31%
🤯
50
3.90%
🤝
28
2.18%
👌
19
1.48%
😍
15
1.17%
⚡
8
0.624%
😐
8
0.624%
🏆
5
0.39%
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 67 of the 68 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 1,283 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 68 most recent posts we hold, published 17 July 2026 to 5 November 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
Telegram’s own ‘edited’ marker: 1 of 23 posts held from the last 30 days (4.35%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
👕 ГДЕ В КИТАЕ ОТШИВАТЬ ОДЕЖДУ ПОД СВОИМ БРЕНДОМ: 5 ТОЧЕК ДЛЯ OEM/ODM 🔥
Не вся одежда производится в Гуанчжоу.
Один город может дать ткани и образцы, второй — фабрику для партии, третий — нужную специализацию: от базовых футболок до сложного белья или свадебных платьев.
Сохраняйте карту для запуска своего бренда 👇
1️⃣ ГУАНЧЖОУ — ТКАНИ, РАЗРАБОТКА И БЫСТРЫЕ ТЕСТОВЫЕ ПАРТИИ
Здесь удобно начинать работу над коллекцией…
🔥🔥 Дайджест-подборка полезных постов: что было интересного в ОКТЯБРЕ?
Друзья, собрали для вас самую актуальную информацию, которую вы можете использовать при работе с Китаем 🇨🇳
Читайте, сохраняйте и пользуйтесь:
🔴 ГДЕ В КИТАЕ ЗАКУПАЮТ ОБОРУДОВАНИЕ И ТОВАРЫ ДЛЯ РЕСТОРАНОВ, КАФЕ И ПИЩЕВОГО ПРОИЗВОДСТВА
🔴 ПОЧЕМУ КИТАЙЦЫ НА ДЕЛОВЫХ ПЕРЕГОВОРАХ МОГУТ ЗАДАВАТЬ ЛИЧНЫЕ ВОПРОСЫ — И КАК НА НИХ РЕАГИРОВАТЬ
🔴ПРАВИЛА БЕЗОПАС…
ВСЁ, ЧТО НУЖНО ЗНАТЬ О ПОСТАВЩИКАХ, ФАБРИКАХ И ЗАКУПКАХ В КИТАЕ — В ОДНОМ КАНАЛЕ 🇨🇳
Непроверенный поставщик, невыгодная закупочная цена, бракованная партия или ошибка в логистике — иногда одного решения достаточно, чтобы потерять деньги.
Как находить возможности в Китае и не совершать дорогих ошибок?
📲 Подписывайтесь на Telegram-канал «Путь Дракона»
— практический источник информации для предпринимателей, импортё…
🤝 КАК КИТАЙЦЫ ПРИНИМАЮТ РЕШЕНИЯ: ПОЧЕМУ ПОСЛЕ ВСТРЕЧИ НЕЛЬЗЯ ЖДАТЬ КОНТРАКТ «ЗАВТРА» 🇨🇳
Вам показали фабрику, согласились с требованиями и сказали: «No problem». Но на следующий день нет ни договора, ни финальной цены.
Это не обязательно отказ. Для китайской компании встреча часто становится началом внутреннего согласования, а не финалом сделки.
Почему это происходит:
1️⃣ Решение принимает не всегда тот, кто сиди…
🏭 4 ГОРОДА ГУАНДУНА, ГДЕ ИСКАТЬ СТАНКИ И ОБОРУДОВАНИЕ ДЛЯ МЕТАЛЛООБРАБОТКИ 🇨🇳
В Гуандуне не стоит искать «любой станок в одном городе».
Регион силён там, где оборудование связано с реальным производством: электроникой, пресс-формами, алюминиевыми профилями, нержавеющей сталью, мебелью, автокомпонентами и металлоконструкциями.
Сохраняйте маршрут 👇
1️⃣ ДУНГУАНЬ — ЧПУ, ОБРАБАТЫВАЮЩИЕ ЦЕНТРЫ И ПРЕСС-ФОРМЫ
Дунгуань — о…
🏆 ГЛАВНЫЕ ВЫСТАВКИ КИТАЯ: ДЕКАБРЬ 2026 🇨🇳
Декабрь в Гуандуне — сильный месяц для закупщиков. Здесь можно найти поставщиков промышленного оборудования, решений для упаковки, пищевых ингредиентов и оснащения для отелей и ресторанов.
⚠️ Важно: две выставки в Шэньчжэне проходят одновременно — 3–4 декабря. Не пытайтесь обойти всё без заранее составленного списка стендов.
Сохраняйте календарь 👇
1⃣ 2–4 декабря — LOUPE S…
🔥 КЕЙС: КАК ПЕРЕВОДЧИК НА КАНТОНСКОЙ ВЫСТАВКЕ ПОМОГ СНИЗИТЬ ЦЕНУ НА 9% И СОКРАТИТЬ ПЕРВЫЙ ЗАКАЗ ДО 600 ЕДИНИЦ
К нам обратился Сергей из Казани — владелец компании по продаже электроинструментов. Он приехал на Кантонскую выставку, чтобы найти производителя аккумуляторного инструмента и запустить линейку под собственным брендом.
До поездки Сергей общался с фабриками только через онлайн-переводчик. Но на выставке пред…
❤9👍8💯6
Showing the 12 most recent of 68 posts we hold for @oleg_o_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.
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.
Какие товары Вы планируете или уже покупаете в Китае? 🇨🇳
Одежда и обувь25%
Детские товары и игрушки7%
Электроника и аксессуары для телефонов12%
Товары для дома и кухни19%
Товары для спорта и активного отдыха7%
Бытовая техника4%
Товары для красоты и здоровья7%
Другое (напишу в комментарии)16%
Ещё не закупаю25%
The shares total 122%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 68 most recent posts we hold, published 17 July 2026 to 5 November 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.
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.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Анна Фомичева @annafomicheva_ved · 29,190 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 11 September 2026
Бизнес идеи 2026 @topbizidei · 35,170 Telegram ranks this channel #4 of 42 here — alongside 41 others — read 1 September 2026
Валерия PRO Китай 🇨🇳 @valeri_secret_tet · 25,650 Telegram ranks this channel #10 of 20 here — alongside 19 others — read 14 September 2026
JOYCITY 🇨🇳 | Закупки и логистика из Китая @joycitychina · 29,445 Telegram ranks this channel #40 of 64 here — alongside 63 others — read 11 September 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Путь Дракона — канал для бизнеса с Китаем🇨🇳” (@oleg_o_china), 16,426 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/oleg_o_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.