International news — 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 26% 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
53 measurements spanning 93 days, net +928. 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 9,740–11,023 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)
Subscribers
Change
7 Nov 2026, 08:36
10,820
-12
6 Nov 2026, 06:30
10,832
-10
5 Nov 2026, 02:09
10,842
+1
4 Nov 2026, 01:26
10,841
-5
2 Nov 2026, 01:30
10,846
-8
1 Nov 2026, 01:28
10,854
-6
30 Oct 2026, 23:28
10,860
-13
29 Oct 2026, 20:51
10,873
+27
28 Oct 2026, 20:50
10,846
-10
27 Oct 2026, 17:39
10,856
-1
25 Oct 2026, 16:46
10,857
-5
24 Oct 2026, 17:25
10,862
-4
23 Oct 2026, 17:20
10,866
+4
22 Oct 2026, 18:10
10,862
-11
21 Oct 2026, 11:39
10,873
-2
20 Oct 2026, 09:54
10,875
+1
19 Oct 2026, 13:20
10,874
+267
18 Oct 2026, 14:54
10,607
+342
17 Oct 2026, 17:47
10,265
+43
16 Oct 2026, 18:56
10,222
first reading
Engagement
262 posts held, back to 4 August 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.3%
avg views ÷ 10,820 subscribers
Avg views / post
2,090
52 posts measured
Reaction rate
0.322%
reactions ÷ views · ER floor
Posts in window
52
of 262 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 34 of 52 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 6 November 2026
Posts held
262 (4 August 2026 – 6 November 2026)
Views total
108,583
Reactions total
230
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 09:09 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
≈1,800
Videos
≈32
Links
≈2,380
Lifetime counters from Telegram’s own channel header, read 8 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.
Video runtime
13s
Average length
13s
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
1,271 reactions across 191 posts, in 5 distinct kinds. The most used accounts for 48.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🐳
611
48.1%
👍
502
39.5%
😱
85
6.69%
👌
63
4.96%
🍓
10
0.787%
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 211 of the 262 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 1,470 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 262 most recent posts we hold, published 4 August 2026 to 6 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: 3 of 52 posts held from the last 30 days (5.77%) 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).
미국 10월 고용보고서 요약
1. 결과
10월 비농업 고용은 16.5만 명 증가했습니다. 컨센서스는 약 6만 명이었습니다. 미국 노동통계국(BLS)은 8월과 9월 고용을 합계 8.4만 명 상향 수정했습니다. 최근 3개월 평균 고용 증가는 13.7만 명입니다. 직전 12개월 평균은 4.8만 명입니다. 실업률은 4.1%입니다. 컨센서스는 4.2%였습니다.
발표 직후 미국 국채금리는 상승했습니다.
2. 업종별 고용 증가
4개 업종이 고용 증가의 95%(15.6만 명)를 차지합니다.
- 전문·사업서비스: +7.0만 명
- 헬스케어: +4.2만 명
- 운송·창고: +2.5만 명
- 제조업: +1.9만 명
소매, 레저·접객, 정부의 고용은 거의 변하지 않았습니다.
3. 제조업과 AI 설비투자
제조업 고용 증가는 3개 세부 업종에 집중됩니다.
- …
안녕하세요.
기존 에테르의 일본&미국 채널을 운영하는 에테르입니다.
지난 10월 27일에 올해 8월부터 지속적인 신고 누적으로 인해 텔레그램 계정에 신용사기딱지가 붙었습니다. 이후 텔레그램측에 해결하기 위해 수차례 이메일, 문의등등 방법으로 접촉을 시도해보았지만, 연락이 닿지 않아 아직까지도 어떠한 응답을 못받았습니다. 따라서 기존 계정을 작성된 글들을 최대한 백업해서 새로운 채널인
https://t.me/aethersemiconductor 로 옮겼습니다.
기존 채널은 옆에 (구)를 붙일거고, 당분간은 폐쇄하지 않을 방침입니다.
제 채널을 구독하는 분이라면 새로운 채널로 이전해주시면 대단히 감사하겠습니다.
https://t.me/aethersemiconductor
로컬모델이 gpt terra6정도 오는건 지금당장이라도 가능. terra 6 모델과 가중치를 그냥 풀어버리고 그걸 구동할 하드웨어만 갖추면 로컬모델
지금 돌아다니는 딥시크 v4는 opus 4.8에 근접하다는 평가를 받고 V4.1 flash가 5, pro는 그 이상이니 당장 가능
1.7T MoE를 굴릴 하드웨어만 있다면?
근데 이제 가정용 레벨로 내려오려면 1년으로는 택도 없죠. 760B 패러미터 flash가 앞으로 오푸스 5.5정도 성능을 내는데 한 4.4 언저리 버전으로 1년정도 걸릴것 같긴한데, 이걸 양자화해서 돌린다해도 3비트 300기가가 넘는 브램, 4비트 450기가 브램이 필요하죠. 스트라타/basalt를 써도 시스템 램이 최소 250GB가 필요한 조건이고 10~20토큰 나오는 세팅인데 이게 가정용인지도 의문이고 실사용 가능한 …
Citadel Market Commentary 26.11.05
Citadel Securities가 중간선거 결과가 미국 거시 전망과 AI 투자 사이클에 주는 함의를 정리했습니다.
1. 데이터센터 개발에 대한 유권자 반발로 2026~2030년 약 350개 프로젝트, 45GW가 위험에 노출되지만, 자본의 지역 이동으로 전체 투자 규모 영향은 제한적이라는 시각입니다.
2. 설비투자 정점론(Peak Capex) 로테이션이 나타나면 메모리와 광학 등 하드웨어 공급업체보다 이미 전력이 확보된 컴퓨팅 사업자와 하이퍼스케일러가 상대적으로 유리하다고 봅니다.
3. 공화당 지지 기반의 이탈과 중도 민주당의 약진이 확인됐고, 이란 전쟁의 조기 외교 해결 가능성에 브렌트유 120달러 상회 확률(3개월 옵션 내재)이 23%에서 9%로 낮아졌습니다.
🔗 본문 읽…
#국채
https://www.hankyung.com/article/2026110591621
한국이 미국 장기 국채를 대규모로 매입하는 방안을 추진한다. 재정적자와 인플레이션 우려로 가격이 하락(금리 상승)한 미 국채를 대거 사들여 미국 정부의 ‘백기사’로 나서는 동시에 외환보유액을 확충하겠다는 구상이다. 미국과의 경제 동맹을 한층 강화해 통상 압력을 완화하는 고도의 패키지 딜이라는 평가가 나온다.
중간선거 이후 스페이스X로부터 도망치는 기관들
- 골드만삭스, 아폴로글로벌이 민주당의 중간선거 압승 이후 스페이스X의 $40B 규모 반도체 자금조달 거래의 일부를 매각하기 위해 다른 월가 투자자들과 협상 중
- 신디케이션(나눠 파는 과정)으로 회수할 예정이며 골드만삭스와 아폴로는 큰손들에 연락해서 한곳당 최대 $0.5B치 사갈 것인지 묻고 있다고.
Citadel Market Commentary 26.11.04
시타델 증권 GMI 11월호는 선거 이후 미국 주식의 수급 구도가 개선되고 있다고 진단합니다. 10월 기술주 조정은 전반적인 매도가 아니라 업종 간 자금 이동이었다는 설명입니다.
1. 개인투자자는 22거래일 연속 순매수(약 330억 달러)했고, 자사주 매입 창구는 11월 9일 S&P 500 비중 기준 85%까지 열릴 전망입니다. CTA 포지션은 -3.3 표준편차로 내려가 있습니다.
2. 3분기 실적은 83%가 EPS 예상치를 웃돌았지만 6월 30일 이후 반도체 선행 EPS 추정치는 30% 오르고 선행 배수는 35% 줄었습니다. 나스닥 100은 선행 PER 19.1배로 2022년 10월 이후 가장 낮습니다.
3. 시타델은 가벼운 포지션과 중간선거 이후 계절성을 근거로 연말까지 미…
🏁 당선 확정 (11/04 14:33 KST)
🔴 [상원] Louisiana — Julia Letlow(공화) 50.9%
🔵 [하원] Texas 28구 — Henry Cuellar(민주) 66.3%
의석
상원 민주 52 · 공화 40 (과반 51, 확정 27/35)
하원 민주 194 · 공화 115 (과반 218, 확정 309/435)
출처: BBC(AP 집계) · easyconomics.com/election-2026
Showing the 12 most recent of 262 posts we hold for @fundeasy_choi. 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
@fundeasy_choi 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
20 August 2026
Most recent edit
20 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 13 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.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Fund Easy 잡담모드” (@fundeasy_choi), 10,820 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/fundeasy_choi.
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.