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Channel

Brain and Body Research

@Brain_And_Body_Research

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

35,344subscribers

-60 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001656364050
TypeChannel
Username@Brain_And_Body_Research
Created21 March 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Brain_And_Body_Research

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

35,34435,40435,3746 August 2026 — 35,404 subscribers6 August 2026 — 35,399 subscribers7 August 2026 — 35,381 subscribers8 August 2026 — 35,365 subscribers11 August 2026 — 35,352 subscribers12 August 2026 — 35,344 subscribers6 August 202612 August 2026
6 measurements spanning 6 days, net -60. 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 35,335–35,413 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:5635,344-8
11 Aug 2026, 04:5335,352-13
8 Aug 2026, 22:2135,365-16
7 Aug 2026, 20:1635,381-18
6 Aug 2026, 20:3135,399-5
6 Aug 2026, 11:4635,404first reading

Engagement

41 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 35,344 subscribers
Avg views / post
4,150
41 posts measured
Reaction rate
0.243%
reactions ÷ views · ER floor
Posts in window
41
of 41 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 38 of 41 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held41 (3 August 202611 August 2026)
Views total169,970
Reactions total379
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:59 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
59,500

Lifetime counters from Telegram’s own channel header, read 12 August 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

379 reactions across 38 posts, in 10 distinct kinds. The most used accounts for 78.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29678.1%
👍348.97%
😭174.49%
❤‍🔥133.43%
👌92.37%
🤡51.32%
20.528%
🎄10.264%
🎉10.264%
👏10.264%

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 38 of the 41 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 379reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 3 August 2026 to 11 August 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

11 Aug 2026, 22:02 UTC≈2,910 views14 reactionsread 12 August 2026
Forwarded from @bornlupin

루멘텀($LITE) 2026 회계연도 4분기 실적 매출액: 10억 1,000만 달러 (예상치: 9억 8,800만 달러) 조정 EPS: $3.23 (예상치: $2.97) / 전년 동기 대비(YoY) +267% 조정 EBITDA: 4억 640만 달러 다음 분기(Q1) 가이던스 매출액: 12억 3,000만 ~ 12억 8,000만 달러 (예상치: 11억 6,000만 달러) 조정 EPS: $4.05 ~ $4.35 (예상치: $3.61) Non-GAAP 영업이익률: 39.5% ~ 40.5% 부문별 순매출액 부품(Components): 6억 4,940만 달러 시스템(Systems): 3억 5,690만 달러 기타 4분기 지표 GAAP EPS: -$84.65 (78억 달러 규모의 일회성 비현금성 부채상환손실 포함) Non-GAAP 매출총이익률: 5

14

11 Aug 2026, 22:02 UTC≈2,340 views9 reactionsread 12 August 2026
Forwarded from @kkkontempPhoto

반도체 투자 안전지대 진입중 차트: SMH 반도체 ETF 변동성 지수

👍9

11 Aug 2026, 22:02 UTC≈1,950 views7 reactionsread 12 August 2026
Forwarded from @bornlupin

슈퍼마이크로 ( $SMCI) FY26 4분기 실적 (시간외 +7.4%) 매출액: 111억 달러 (전망치 115.5억 달러) 조정 EPS: $1.70 (전망치 $0.96) / 전년 동기 대비 +315% 매출총이익률(Gross Margin): 17.5% (전년 동기 대비 +800bps) FY27 연간 가이던스 매출액: 650억~720억 달러 (전망치 525억 달러) FY27 1분기(Q1) 가이던스 매출액: 145억~155억 달러 (전망치 116.8억 달러) 조정 EPS: $1.01~$1.10 (전망치 $0.76) GAAP EPS: $0.89~$0.98 GAAP 세율: 20.1% Non-GAAP 세율: 20.5% GAAP 희석 주식 수: 7억 4,500만 주 Non-GAAP 희석 주식 수: 7억 6,100만 주 기타 Q4 주요 재무 지표

7

11 Aug 2026, 22:01 UTC≈1,750 views7 reactionsread 12 August 2026
Forwarded from @ehdwl

*한국 증시 관련 수치: 실적 발표한 AI 관련 기업들 급등과 SK하이닉스 주목 MSCI 한국 증시 ETF는 2.53% 상승한 가운데 MSCI 신흥지수 ETF도 0.40% 상승. 필라델피아 반도체 지수는 0.87% 상승. 러셀2000지수는 0.32% 상승. 다우 운송지수는 0.32% 하락. KOSPI 야간 선물은 1.4% 상승. 전일 서울 환시에서 달러/원 환율은 1,416.00원을 기록. NDF 달러/원 환율 1개월물은 1,411.30원을 기록. *FICC: 국제유가의 변동성 확대 국제유가는 장 초반 미-이란 협상 난항 및 후티 반군의 위협 등 지정학적 리스크등으로 3% 상승. 그러나 파키스탄 국방장관 및 카타르 외무부의 미-이란 중재 합의 근접 발언이 유입되자 하락 전환하는 등 중동 이슈에 따라 변동성이 확대. 물론, 여전히 호르무

7

11 Aug 2026, 22:01 UTC≈1,340 views11 reactionsread 12 August 2026
Forwarded from @ehdwl

*특징 종목: SK하이닉스 ADR, 샌디스크, 전력 기업 상승 Vs. 브로드컴, 알파멧, 아마존 하락 반도체 스토리지: SK하이닉스, 키옥시아 최대주주, 중국 대련 공장 재개에 상승 SK하이닉스 ADR(+4.70%)는 도시바의 지분 축소로 SK하이닉스가 전환사채를 보유한 특수목적법인(SPC2)이 키옥시아 지분 14.19%를 확보하며 간접적 최대주주에 올라 글로벌 NAND 시장 지배력 강화 및 시너지 기대감이 형성되자 상승. 여기에 AI 서버 수요 급증에 대응해 4년간 중단되었던 자회사 솔리다임의 중국 대련 2공장 건설 및 설비 투자를 재개해 고용량 eSSD 공급 능력을 확충하기로 한 점도 영향. 이에 D램 중심의 HBM 모멘텀에 더해 상대적으로 약했던 NAND 부문에서도 시장 지배력 확대와 생산 능력 확충이라는 구조적 변화가 매수세를 자극.

9👍2

11 Aug 2026, 22:01 UTC≈2,150 views7 reactionsread 12 August 2026
Forwarded from @ehdwl

08/11 미 증시, 소비자물가지수 발표 앞두고 매물 출회되며 하락 미 증시는 소비자물가지수 발표를 앞두고 결과에 따라 연준의 통화정책 기대가 크게 변화할 수 있다는 점에서 관망심리가 높아 보합권 출발. 이후 엔비디아(-0.02%)의 AI 모델 및 인프라 금융 관련 발표를 둘러싼 해석이 엇갈리며 일부 하이퍼스케일러 관련 종목에서 매물이 출회. 다만 거래량이 20일 평균을 하회하는 등 물가지표 발표를 앞두고 관망심리가 높아 대부분의 종목군에서 등락이 제한되며 지수는 소폭 하락에 그침(다우 -0.34%, 나스닥 -0.60%, S&P500 -0.32%, 러셀2000 +0.32%, 필라델피아 반도체 지수 +0.87%) *변화요인: 소비자물가지수의 중요성 오늘 미 증시는 소비자물가지수 발표를 앞두고 관망심리가 높아 일부 개별 종목군의 변화에 따라

7

11 Aug 2026, 00:43 UTC≈4,240 views7 reactionsread 12 August 2026

하이브 전망 7탄: BTS MD&라이선싱 정리 (수익성 개선의 핵심구간) 지난 5편의 글로 하이브가 BTS의 IP를 이용해 어떤 MD&라이선싱 사업을 시작했는지 파악했다. (MD 2편, 라이선싱 3편) ​ 간단하게 종류를 정리하면 자체 MD는 총 4종류(아미밤, 아리랑/아리랑투어MD, SWIM 시리즈), 라이선싱의 방식은 2가지(MD 라이선싱, 브랜드 라이선싱)였다. 특히 5월부터 약 3개월 만에 7가지나 되는 브랜드 라이선싱 사업이 동시다발적으로 시작된 점은 상당히 고무적이다. ​ 이번 글에서 알아볼 내용들은 다음과 같다. ​ - 지금까지 알아본 MD&라이선싱 사업들의 본격적인 매출 인식구간은 어떻게 될까? - MD와 IP 라이선싱에서 OPM 개선을 위한 추가적인 노력들은 무엇이 있을까? - 과거 대비 IP 라이선싱이

7

9 Aug 2026, 08:21 UTC≈5,780 views10 reactionsread 12 August 2026
Forwarded from @easobiPhoto

퍼포먼스 개선되는 섹터 다수 등장

5❤‍🔥5

9 Aug 2026, 08:21 UTC≈5,120 views8 reactionsread 12 August 2026
Forwarded from @easobiPhoto

한달간 주요시장중에 빠진건 한국뿐이네 오

😭71

9 Aug 2026, 08:21 UTC≈4,170 views21 reactionsread 12 August 2026
Forwarded from @easobiPhoto

반도체가 쉬어주니까 다수가 행복해진다

👌9🤡5😭52

9 Aug 2026, 08:21 UTC≈3,940 views5 reactionsread 12 August 2026
Forwarded from @easobiPhoto

신용잔고는 열심히 털리고있고

5

9 Aug 2026, 08:21 UTC≈4,260 views4 reactionsread 12 August 2026
Forwarded from @easobiPhoto

1주간 기관/외국인/개인 순매수 상하위

4

Showing the 12 most recent of 41 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.

Citation-graph rank

Citation-graph rank — 217,199 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 4 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Brain and Body Research” (@Brain_And_Body_Research), 35,344 subscribers as measured 12 August 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.