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 9 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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.
Channels linked by matching posts
This channel is in a group of 7 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
62 measurements spanning 96 days, net -844. 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 34,433–35,531 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
10 Nov 2026, 03:00
34,560
-14
8 Nov 2026, 15:50
34,574
-13
7 Nov 2026, 08:36
34,587
-16
6 Nov 2026, 10:35
34,603
-19
5 Nov 2026, 08:26
34,622
-18
4 Nov 2026, 07:05
34,640
-12
3 Nov 2026, 08:51
34,652
-14
2 Nov 2026, 11:39
34,666
-11
1 Nov 2026, 11:10
34,677
-12
31 Oct 2026, 11:40
34,689
-10
30 Oct 2026, 11:47
34,699
-15
29 Oct 2026, 09:10
34,714
-21
28 Oct 2026, 10:09
34,735
-9
27 Oct 2026, 10:58
34,744
-8
26 Oct 2026, 13:20
34,752
-10
25 Oct 2026, 09:48
34,762
-10
24 Oct 2026, 07:04
34,772
-3
23 Oct 2026, 03:57
34,775
-4
22 Oct 2026, 03:27
34,779
-8
20 Oct 2026, 20:31
34,787
first reading
Engagement
217 posts held, back to 3 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 176 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.1%
avg views ÷ 34,560 subscribers
Avg views / post
8,320
25 posts measured
Reaction rate
0.152%
reactions ÷ views · ER floor
Posts in window
25
of 217 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 9 November 2026
Posts held
217 (3 August 2026 – 9 November 2026)
Views total
207,920
Reactions total
317
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:13 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
≈91,700
Videos
≈18
Links
≈59,600
Lifetime counters from Telegram’s own channel header, read 11 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
2,355 reactions across 208 posts, in 17 distinct kinds. The most used accounts for 77.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,835
77.9%
👍
282
12.0%
👏
79
3.35%
💯
47
2.00%
😭
20
0.849%
❤🔥
15
0.637%
⚡
14
0.594%
😁
12
0.51%
👌
11
0.467%
🤡
10
0.425%
🐳
9
0.382%
🥰
8
0.34%
🫡
5
0.212%
😇
3
0.127%
🎉
2
0.085%
💊
2
0.085%
🎄
1
0.042%
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 208 of the 217 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 2,355 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 217 most recent posts we hold, published 3 August 2026 to 9 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: 2 of 25 posts held from the last 30 days (8.00%) 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).
테라팹, 2032년까지 월 100만 장 웨이퍼 생산 목표…이 중 메모리용 70만 장은 삼성전자의 전체 DRAM 생산 능력과 비슷한 수준
(trendforce)
테라팹은 장비 조달을 위한 초기 단계를 밟고 있는 것으로 알려졌다. 파이낸셜 뉴스가 닛케이를 인용해 보도한 바에 따르면, 조달 팀이 이달 초 일본을 비밀리에 방문해 일부 제조업체로부터 수개월 내 납품을 요청하고, 2028년 하반기 양산 개시를 지원하기 위한 장비 설치 일정을 조율한 것으로 전해졌다.
그러나 장비 조달 외에도 상당한 과제가 남아 있다. 파이낸셜 뉴스는 첨단 반도체 팹의 경우 일반적으로 건설 계획 단계에서 양산 단계로 넘어가는 데 3년 이상 걸린다고 지적했다. 장비 설치가 완료된 후에도 불량률을 낮추고 안정적인 생산을 달성하기 위해서는 추가적인 시간이 필요하다.
테슬…
현실 세계로 확장되는 AI - 피지컬 AI, 로봇, 바이오, 조선, 자율주행차
KEIT (한국산업기술기획평가원) 이슈픽 2026-10월호
1 에이전트 융합 기반 피지컬 AI의 기술 동향과 제조업 적용 과제
2 산업 현장 숙련공의 암묵지 데이터화 및 휴머노이드 전이 기술 동향
3 AI 및 디지털 전환 기술을 활용한
첨단바이오 소재 스케일업 제조공정 기술
4 AI에게 선박을 어디까지 맡길 수 있는가:
자율운항 기술의 발전과 신뢰의 조건
5 자율주행 AI 데이터 플라이휠과 공공데이터 통합·활용 체계
중국 15·5 계획과 미래산업: 수소에너지산업
1. 중국 수소산업의 특징과 정책 변화
(1) 산업용 수소의 저탄소 전환과 수소에너지 활용의 확대
-중국의 수소정책은 합성암모니아·메탄올·정유 등 대규모 산업용 수요의 저탄소 전환과 교통·전력·저장 등 수소에너지 활용 확대를 함께 추진
-15 ·5 계획은 수소에너지(氢能)를 미래산업의 중점 분야로, 녹색 수소를 신산업 육성 대상으로 별도 제시
-2025년 1월 시행된 에너지법은 수소에너지를 ‘수소가 에너지 운반체로 기능하며 화학 반응을 통해 방출하는 에너지’로 정의하고, 전력·열 등과 함께 법률상 에너지의 범위에 포함
(2) 수소산업 정책 변화
-중국 수소정책은 중장기계획을 기반으로 2024~2026년 산업 응용 정책·시범사업·에너지계획을 통해 구체화
-15 ·5 계획 기간에는 재생에너지 기…
세계 원전시장 인사이트
(에너지경제연구원)
□ 주요단신
• 미 NRC, 에너지부·국방부 승인 원자로 설계 활용 관련 인허가 규칙 확정
• 미 NRC, AP1000 설계인증 갱신·변경 규정 공표
• 미 해군, Crane 기지용 초소형원자로 사업자로 Radiant 선정
• 미국 Westinghouse, LEU+ 연료 공장 신설에 약 1조 3,250억 원 투자
• 핀란드, 사용후핵연료 최종처분시설 운영허가 발급
• 슬로바키아, Mochovce 4호기 계통 연결
• 폴란드 정부·국영기업, 제2 대형 원전 건설 준비 위한 협약 체결
• 폴란드 SGE, 자국·영국 BWRX-300 사업별 합작사 설립 추진
• 중국, Tianwan 원전 7호기 계통 연결 완료
• 인도네시아, 러시아 Rosatom과 200MW 부유식 원전 전력공급 협약 체결
• 일본 후쿠…
AI시대 대만 반도체 산업 성장과 우리기업 진출기회
Ⅰ. AI가 견인하는 대만 경제성장과 대만의 AI 공급망 동향
1. AI 수요 확대 속 반도체가 이끌어 온 대만 경제성장
2. AI시대 대만 서버 산업의 부상
3. 글로벌 AI 공급망 핵심 거점으로 부상한 대만
Ⅱ. 대만 AI·반도체 생태계 현황
1. 대만의 AI·반도체 산업 육성 정책
2. 대만 주요 반도체 기업의 AI대응
3. 대만 주요 서버기업의 AI대응
4. 글로벌 AI·반도체 기업의 대만 거점 확대 동향
Ⅲ. 우리기업의 대만 AI·반도체 협력 기회 및 시사점
1. 한-대만 AI·반도체 생태계 협력필요성 및 사례
2. 대만 AI·반도체 생태계 진입채널
일본 반도체 관련주 강세, 키옥시아 6.8% 상승
10월 27일 일본 닛케이225 지수가 1.7% 상승한 가운데 반도체 관련주가 큰 폭의 강세 기록.
키옥시아 주가 6.8%, 소프트뱅크그룹 6.0%, 어드반테스트 7.3% 상승.
한국거래소, 사이드카 발동으로 코스피 프로그램 매수 일시 중단
10월 27일 한국거래소가 사이드카(SIDECAR)를 발동해 코스피 시장의 프로그램 매수 거래를 일시 중단.
국가 바이오 안보 및 생태계 관점의 CRO 현황 및 정책제언
Contents
I. 서론: CRO의 산업적 기능과 국가 안보적 함의
ll. 글로벌 환경 변화 (1): 바이오 안보 축, 데이터·공급망의 안보화
Ⅲ. 글로벌 환경 변화 (2): 임상 경쟁력 축, 속도·비용 경쟁의 국가 간 이동
Ⅳ. 한·중 CRO 발전경로 비교와 중국 모델의 구조 분석
V. 국내 CRO 산업의 현황과 구조적 취약성
NVIDIA, Vera Rubin HBM4 대역폭을 최대 26%까지 조용히 낮추며 NVLink 속도도 감소했습니다.
앞서 NVIDIA의 GTC 2026 발표 이후 보도한 바와 같이, 각 루빈(Rubin) GPU는 원래 288GB의 HBM4 메모리를 탑재해 22TB/s의 대역폭을 제공하며, 3.6TB/s의 NVLink 6 대역폭을 갖춘 것으로 소개되었습니다. 이후 해당 수치는 각각 19.2TB/s와 3TB/s로 하향 조정되었으며, 이는 각각 약 13%와 17% 감소한 수치입니다.
이러한 변경 사항은 72개의 루빈 GPU와 36개의 베라 CPU를 결합한 초대형 베라 루빈 NVL72 구성은 물론, 엔비디아의 소형 HGX 루빈 NVL8 시스템에도 적용됩니다.
가장 큰 감소폭을 보인 부분은 HGX Rubin NVL8의 총 HBM4 대역폭으로, 약…
2026 수출 다변화를 위한 비관세장벽 설명회 : 중국·일본·동남아·서남아를 중심으로 (2026 FTA해외활용지원센터 합동)
Keyword#수출 #다변화 #비관세장벽 #관세장벽 #설명회 #중국 #일본 #동남아 #서남아 #FTA
목차
· 중국
· 일본
· 말레이시아
· 태국
· 인도네시아
· 베트남
· 필리핀
· 캄보디아
· 인도
❤6
Showing the 12 most recent of 217 posts we hold for @Brain_And_Body_Research. 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.
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Brain and Body Research” (@Brain_And_Body_Research), 34,560 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Brain_And_Body_Research.
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.