Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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
60 measurements spanning 100 days, net +472. 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 10,110–10,747 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
14 Nov 2026, 13:20
10,672
-1
11 Nov 2026, 14:56
10,673
+2
9 Nov 2026, 22:20
10,671
+5
8 Nov 2026, 13:05
10,666
-1
7 Nov 2026, 08:05
10,667
+2
6 Nov 2026, 08:38
10,665
-6
5 Nov 2026, 07:14
10,671
+18
4 Nov 2026, 08:57
10,653
+8
3 Nov 2026, 11:34
10,645
-3
2 Nov 2026, 08:25
10,648
-2
1 Nov 2026, 05:19
10,650
+2
31 Oct 2026, 01:49
10,648
+4
30 Oct 2026, 01:57
10,644
+1
29 Oct 2026, 01:09
10,643
+2
27 Oct 2026, 02:55
10,641
+40
26 Oct 2026, 02:17
10,601
+4
25 Oct 2026, 02:19
10,597
-4
23 Oct 2026, 07:20
10,601
-1
22 Oct 2026, 10:14
10,602
+7
21 Oct 2026, 03:41
10,595
first reading
Engagement
72 posts held, back to 27 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
75.1%
avg views ÷ 10,672 subscribers
Avg views / post
8,010
27 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
27
of 72 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 20 of 27 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 12 November 2026
Posts held
72 (27 July 2026 – 12 November 2026)
Views total
216,330
Reactions total
85
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 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
Photos
≈1,360
Videos
≈8
Links
≈1,320
Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
201 reactions across 51 posts, in 18 distinct kinds. The most used accounts for 38.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
78
38.8%
🫡
30
14.9%
👍
27
13.4%
😁
17
8.46%
😱
7
3.48%
🤪
7
3.48%
⚡
5
2.49%
💯
4
1.99%
🗿
4
1.99%
🤔
4
1.99%
🤨
4
1.99%
❤🔥
3
1.49%
🤣
3
1.49%
🍌
2
0.995%
🔥
2
0.995%
😭
2
0.995%
🎉
1
0.498%
👏
1
0.498%
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 53 of the 72 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 201 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 27 July 2026 to 12 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: 7 of 27 posts held from the last 30 days (25.9%) 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).
[표결을 앞둔 RASA 법안]
RASA 법안은 미국의 원격접근보안법 입니다.
중국 기업이 해외 데이터센터(클라우드)를 통해 엔비디아 등 미국산 첨단 AI 칩에 ‘원격 접속’해 쓰는 우회로까지 수출통제로 틀어막는 법안이죠.
요즘 RASA 법안이 미국의 핫감자 입니다. 젠슨황 사태로 대중국 강경파들이 득세하기 때문이죠.
RASA 법안은 지난 1월 12일 하원에서 찬성 369표, 반대 22표로 통과되었고, 현재 상원 은행위원회에 계류되어 있으며, 연말 국방수권법(NDAA)에 끼워 넣어 처리하는 방안 등이 논의되고 있습니다.
상원은 규제의 대상을 ‘중국 등 우려 외국인’과 ‘인프라 서비스(IaaS)’로 한정해 미국 클라우드 업계의 부담을 다소 완화하는 현실적 대안을 좀 더 고려하고 있는 것으로 보입니다.
만약 이 법안이 통과된다면 중국 A…
The information: 미국의 대중국 칩 규제 강화 가능성
외신 언론 더 인포메이션에서 젠슨황 사태로 미국 상무부는 대중국에 대한 칩 수출 규제를 진일보 강화하는 방안을 마련하고 있다고 보도.
일각에서는 동남아 지역까지 포함해서 규제할수도 있다고 보도
해당 우려에 금일 홍콩증시에서 중국 LLM 기업들 주가 일제히 부진
-알리바바 -6.5%
-즈푸 -8.0%
-미니맥스 -7.2%
-텐센트 -2.4%
기사 원문: https://www.theinformation.com/?shem=aimgspe%2C
번스타인, 엔비디아 투자의견 뉴트럴로 하향 조정
번스타인의 애널리스트 Stacy Rasgon은 고객 보고서에서 "이번 사안의 실체와 파장이 아직 충분히 드러나지 않았을 가능성이 있다"며 당분간 관망하는 것이 바람직하다고 언급.
목표주가는 기존 400달러에서 200달러로 50% 하향 조정
【우시앱텍, 美 국방부 1260H 중국 군사기업 명단에서 제외】
우시앱텍(药明康德)은 미국 국방부가 NDAA 제1260H조에 따른 중국 군사기업(CMC) 명단에서 자사를 제외하기로 결정했다고 공시.
이번 조치는 미국 법원의 예비적 금지명령에 따른 것으로, 우시앱텍에 대한 1260H 지정의 집행이 제한되면서 명단에서 제외된 것임.
이에 따라 우시앱텍의 미국 사업 관련 규제 불확실성이 일부 완화될 전망. 다만, 향후 재지정 가능성과 BIOSECURE Act 등 별도의 대중국 바이오 규제 리스크는 여전히 남아 있음.
https://wap.eastmoney.com/a/202611103926781641.html
📮[메리츠증권 신흥국 투자전략 최설화]
최설화의 Real China, 2026.11.9(월)
<미국의 블루웨이브와 중국 테크>
- 블루웨이브로 미국 AI 투자가 둔화되면 중국 테크는 단기적으로 격차를 좁힐 시간을 확보
- 다만 대중국 통제가 입법으로 제도화되고, 중국의 AI 하드웨어 수출에도 부담
- 중기적으로 악재가 더 커서 기술주 비중을 점검하고 금융·소비재로 분산 필요
(보고서) https://tinyurl.com/8w9kz5nt
* 동 자료는 Compliance 규정을 준수하여 사전 공표된 자료이며, 고객의 증권 투자 결과에 대한 법적 책임소재의 증빙자료로 사용될 수 없습니다.
중국 반도체 지수 과창50 +8.4%
민주당의 압도적인 승리는 중국 주식에 긍정적으로 작용
민주당이 장악한 의회는 트럼프의 변덕스러운 행동을 억제할 가능성이 높아, 중국이 대응책을 준비할 충분한 시간을 벌어주기 때문이라고 판단하기 때문
특히 기술 봉쇄에 대한 낙관전 기대론이 금일 시장에 반영 중
Showing the 12 most recent of 72 posts we hold for @china_kis. 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
@china_kis 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
27 August 2026
Most recent edit
27 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 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“[메리츠 중국 최설화]” (@china_kis), 10,672 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/china_kis.
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.