4 measurements spanning 4 days, net -2. 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 2,635–2,637 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 16:34
2,635
-1
7 Aug 2026, 21:26
2,636
-1
7 Aug 2026, 04:30
2,637
no change
7 Aug 2026, 04:25
2,637
first reading
Engagement
17 posts held, back to 20 May 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.0%
avg views ÷ 2,635 subscribers
Avg views / post
396
7 posts measured
Reaction rate
0.473%
reactions ÷ views · ER floor
Posts in window
7
of 17 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 3 of 7 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 2 August 2026
Posts held
17 (20 May 2026 – 2 August 2026)
Views total
2,772
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:19 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.
Reaction mix
8 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4
50.0%
👍
3
37.5%
🔥
1
12.5%
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 4 of the 17 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 20 May 2026 to 2 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.
1년 운동 프로젝트｜8일차·누적 3회
<일상 주의자가 되기, 이미 충분한 현재를 선물받았으니..>
가끔 이런 생각을 한다. 먼 훗날 노인이 된 어느 날, 내가 과거의 딱 하루로 돌아갈 기회를 얻게 된다면, 어느 한순간으로 돌아가고 싶어 하면서 떠올린 그날이 혹시 지금 내가 살고 있는 이 순간이라서, 내가 지금 여기에 있는 게 아닐까 하는 상상.
그러고 나면 갑자기 오늘이 너무 찬란하고, 사소한 내 주변의 모든 것이 감사하게 느껴진다.
— 김이나, 『일상주의자의 감각』
글을 읽고 고개를 들어보니, 아내는 아기의 이유식을 열심히 만들고 있었다. 그 옆에서는 아들이 장난감을 이리저리 옮기다가 아빠에게 가져다주겠다며 너무 급하게 걷다 넘어지고 있었다.
그 모습을 보면서 문득 이런 생각이 든다. 먼 훗날 노인이 된 나에게 “과거의 딱 하루로 돌아…
💵 유진투자증권) 원/달러 환율; 8월 말까지 하향 안정, 이후 구조적 자금유출로 중장기 상승 가능
💡 역대급 수출에도 환율이 급등한 것은 기업·외국인·내국인의 달러 수요가 동시에 늘어난 구조적 변화 때문임. 단기 하향 안정 이후에도 원/달러 환율의 중장기 상승 가능성에 대비해야 한다고 전망함
1️⃣ 펀더멘털과 괴리된 원화 약세, 환율 결정 구조가 바뀌었다
원/달러 환율은 6월 말 기준 전년 대비 15% 급등함. 과거 금융위기나 닷컴버블 침체기에 나타났던 상승 폭이지만, 현재는 역대급 수출과 성장 기대가 공존합니다. 이는 경제 펀더멘털만으로 환율을 설명하기 어려워졌음을 의미함.
2️⃣ 기업의 달러 선호는 완화 조짐
기업들은 수출로 번 달러를 국내에 충분히 환류하지 않았습니다. 높은 한·미 금리차와 해외투자 확대로 2026년 1~5월 재투자수…
⚡ 키움증권) 800V 데이터센터 전력 아키텍처; 진짜 수혜는 장비가 아니라 전력반도체. MPWR·IFNNY·ON 등 6종 추천
💡 800V 전환에도 전력 장비 시장의 단가는 정체되지만, 장비 내부에서 전력반도체의 원가 비중이 5~10배로 커지는 지각변동이 알파의 원천이라는 분석입니다. 시장이 "장비 단가 정체 = 전력 테마 종료"로 오독하는 지점을 노리라는 주장입니다.
1️⃣ AI 병목은 연산에서 전력으로, 800V 전환은 필수 과제
가속기 랙당 전력이 Hopper 40kW에서 Blackwell 약 120kW로 급증했고, 차세대 Rubin Ultra·Feynman 세대에는 600kW~1MW에 달할 전망입니다. 막대한 전류 손실을 줄이기 위한 800V 고전압 직류(HVDC) 아키텍처 도입이 데이터센터의 필수 과제가 됐습니다.
2️⃣ 시장…
주식 스터디 후배가 불만을 털어놨다.
자기는 반도체 산업 열심히 공부해서
SK하이닉스에 납품하는 소부장 기업을 샀는데
그냥 하이닉스 산 사람들이 수익률이 훨씬 좋아서
“스터디를 왜 하는지 모르겠다”는 것이다.
그래서 물어봤다.
그 회사가 하이닉스보다 더 싸냐?
성장률이 더 높냐?
구조적으로 더 좋은 회사냐?
그런데 전부 아니었다.
밸류는 더 비싸고
성장률도 더 낮고
매출도 대부분 하이닉스 의존이었다.
그럼 왜 샀냐고 물어보니
“하이닉스는 너무 많이 올라서 부담스럽고
소부장은 덜 올라서 매력적으로 보였다”고 한다.
많은 사람들이 여기서 착각한다.
‘좋은 회사’를 찾는 게 아니라
‘못 오른 회사’를 찾는다.
그리고 그걸 가치투자라고 생각한다.
정작 시장의 대장은
“너무 유명해서”, “너무 뻔해서” 안 사고
주변부 종목에서 낙수…
Showing the 12 most recent of 17 posts we hold for @StudyHODL. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“신호와소음 (투자)” (@StudyHODL), 2,635 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/StudyHODL.
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.
