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 95% 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
29 measurements spanning 41 days, net -116. 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 15,027–15,186 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:58
15,048
+3
15 Sept 2026, 17:01
15,045
-3
14 Sept 2026, 04:15
15,048
-6
12 Sept 2026, 11:20
15,054
-6
10 Sept 2026, 10:39
15,060
-14
7 Sept 2026, 03:21
15,074
-6
4 Sept 2026, 13:39
15,080
-12
3 Sept 2026, 00:26
15,092
+3
2 Sept 2026, 01:24
15,089
-4
30 Aug 2026, 23:47
15,093
-9
30 Aug 2026, 03:17
15,102
+2
29 Aug 2026, 05:11
15,100
-5
28 Aug 2026, 03:53
15,105
-4
27 Aug 2026, 03:04
15,109
-6
26 Aug 2026, 04:33
15,115
-10
25 Aug 2026, 01:33
15,125
-5
23 Aug 2026, 13:17
15,130
-4
21 Aug 2026, 23:26
15,134
-2
20 Aug 2026, 18:37
15,136
+2
18 Aug 2026, 16:04
15,134
first reading
Engagement
21 posts held, back to 3 June 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.99%
avg views ÷ 15,048 subscribers
Avg views / post
1,050
2 posts measured
Reaction rate
0.57%
reactions ÷ views · ER floor
Posts in window
2
of 21 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
Window
Rolling 30 days · latest post in window 1 September 2026
Posts held
21 (3 June 2026 – 1 September 2026)
Views total
2,104
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:58 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
Video runtime
40s
Average length
40s
Measured directly from 1 video 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
197 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 43.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
86
43.7%
❤
55
27.9%
🔥
40
20.3%
🤝
14
7.11%
👏
2
1.02%
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 21 of the 21 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 197 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 3 June 2026 to 1 September 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.
😎 Что обсуждали в каналах SHANGHAI LEO в августе
Подготовили для вас подборку постов, чтобы вы не пропустили полезную информацию для работы с Китаем:
☑️ Основной канал
→ Транзит через Китай товаров двойного назначения: отвечаем на новый вопрос
→ Какие грузы в группе риска на китайской таможне
→ Ошибка китайского таможенного инспектора: разбор кейса по экспорту товара двойного назначения
→ Как понять точно, пона…
«Трудности перевода» на переговорах с китайскими партнерами
С отменой виз деловые поездки в Китай стали быстрее и проще. Раньше на оформление приглашения и визы уходило 2-3 недели, теперь достаточно купить билет и вылететь через несколько дней. Это удобно, чтобы оперативно решить вопросы, но за такой срок сложно найти хорошего переводчика и подготовиться к эффективным переговорам.
В новой рассылке разбираем, как по…
Сомневаемся, попадает ли наше оборудование под контроль экспорта из Китая товаров двойного назначения. Как понять точно, понадобится ли лицензия?
— получили новый вопрос о товарах двойного назначения в нашего чат-бота
Отвечаем:
Если у вас уже возникли сомнения, вероятность попасть под контроль высокая. Необходимо изучить спецификацию вашего оборудования и сверить компоненты с каталогом товаров двойного назначения.
…
Ошибка китайского таможенного инспектора: разбор кейса по экспорту товара двойного назначения
Экспорт товаров двойного назначения регулируется каталогом, в котором перечислены категории и коды продукции. Но на практике сталкиваемся с тем, что таможенный инспектор один и тот же товар может расценить по-разному. Рассказываем на примере недавнего кейса⤵️
Экспортировали два вида судовых радаров. На этапе оформления там…
Какие грузы в группе риска на китайской таможне — разбираем в нашей новой рассылке
Проверки на границе с Китаем стали глубже, поэтому возросли риски задержки груза. Если раньше таможня Китая проверяла только документы экспортера, то сейчас проверка охватывает всех участников цепочки от производителя до конечного получателя. Это касается и оформления груза при вывозе, и последующего возврата китайского НДС.
В нашей …
Конференция по работе с Китаем в Москве 24-25 сентября
Наши информационные партнеры из Российско-Китайской Палаты приглашают предпринимателей и руководителей ВЭД принять участие в практической конференции «Китай на практике: Проверенные решения для вашего бизнеса», которая состоится 24–25 сентября в Москве.
Ключевые темы конференции:
☑️ Финансы и инвестиции: работающие инструменты трансграничных расчетов в 2026 го…
Транзит через Китай товаров двойного назначения: отвечаем на новый вопрос
В прошлом месяце разбирали, что делать, если завод отказывается оформлять лицензию на экспорт, и отвечали на вопросы о статусе товаров.
Отвечаем на новый вопрос ⤵️
Нужна ли лицензия при транзите товаров двойного назначения через Китай?
Ответ:
Да, транзит через свою территорию Китай рассматривает как одну из форм экспортной деятельности. Эт…
SHANGHAI LEO на площадке РБК
На прошлой неделе на площадке РБК Пермь прошел круглый стол по вопросам торгово-экономического взаимодействия Прикамья и Китая. В дискуссии приняли участие президент Пермской ТПП Вячеслав Белов, эксперты в области логистики, бизнеса, ВЭД и туризма.
Мы как эксперты в организации поставок из Китая оборудования и товаров для промышленности осветили такие вопросы:
➡️ Как китайский бизнес с…
😎 Что обсуждали в каналах SHANGHAI LEO в июле
Подготовили для вас подборку постов, чтобы вы не пропустили полезную информацию для работы с Китаем:
☑️ Основной канал
→ Ответили на ваши вопросы по экспорту из Китая товаров двойного назначения
→ Обзор деловой среды в работе с Китаем: наблюдения за 2 квартал 2026
→ К чему присмотреться в секторе агротехнологий Китая
→ Хлорид лития из Китая на 30% дешевле, чем у рос…
Хлорид лития из Китая на 30% дешевле, чем у российских производителей
Прорабатывали для клиента запрос на поставку хлорида лития из Китая. Делимся наблюдениями, от чего зависит цена на это сырье и почему в Китае его можно купить дешевле, чем в России ⤵️
Поскольку хлорид лития получают либо напрямую из рассолов, либо путем переработки карбоната лития с соляной кислотой, его цена жестко привязана к стоимости карбонат…
Обзор деловой среды в работе с Китаем: наблюдения за 2 квартал 2026
Второй квартал 2026 года стал проверкой на прочность платежных и таможенных агентов и внутренних планов компаний. Мы увидели несколько параллельных процессов, которые тесно связаны между собой.
На первый взгляд, каждая из этих ситуаций выглядит как отдельные рабочие моменты. Но вместе они складываются в картину рынка, где скорость принятия решений …
🔥4❤3🤝1
Showing the 12 most recent of 21 posts we hold for @shanghaileo. 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.
Posts edited after publishing
@shanghaileo edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
11 August 2026
Most recent edit
11 August 2026
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 5 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.
Бухгалтер.РФ. Все о внешнеэкономической деятельности | Отдел ВЭД @buhgalterrf_ved · 25,936 Telegram ranks this channel #22 of 86 here — alongside 85 others — read 13 September 2026
Анна Фомичева @annafomicheva_ved · 29,535 Telegram ranks this channel #22 of 81 here — alongside 80 others — read 11 September 2026
This channel appears in 2 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Китай 🇨🇳 | Бизнес | ВЭД | SHANGHAI LEO | Максим Савельев” (@shanghaileo), 15,048 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/shanghaileo.
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.