4 measurements spanning 7 days, net -19. 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 5,209–5,234 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 09:05
5,212
-9
10 Aug 2026, 08:30
5,221
-9
7 Aug 2026, 07:05
5,230
-1
6 Aug 2026, 11:19
5,231
first reading
Engagement
22 posts held, back to 4 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
19.5%
avg views ÷ 5,212 subscribers
Avg views / post
1,010
9 posts measured
Reaction rate
0.767%
reactions ÷ views · ER floor
Posts in window
9
of 22 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 12 August 2026
Posts held
22 (4 July 2026 – 12 August 2026)
Views total
9,125
Reactions total
70
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:35 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
201 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 51.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
103
51.2%
👍
92
45.8%
🙏
5
2.49%
🥰
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 20 of the 22 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 201reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 4 July 2026 to 12 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.
Telegram Stars
Stars received
50
across the posts below
Posts paid on
1
of 22 we hold a reading for · 5%
Most on one post
50
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chrisdoublepersona. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 22 most recent posts we hold for this entry, published 4 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
안녕하세요! 레이어제로의 아시아 총괄을 맡고 있는 알렉스입니다. 이번에 용기를 내어 저의 텔레그램 채널을 만들게 되었습니다.
저를 처음 뵙는 분들을 위해 간단히 소개드리자면, 저는 B2B 사업개발 업무를 좋아하고, 특히 블록체인 업계에 6년 넘게 있으면서 스테이블코인이 우리 삶에 가져다줄 기술적 혁신을 믿고, 이를 함께 만들어나가고 싶은 사람입니다. 제가 몸담고 있는 레이어제로, 그리고 아시아스테이블코인얼라이언스(ASA)를 통해 특히 아시아 금융권에 유의미한 변화를 만들고 싶습니다. 저의 장기적인 꿈은 교육혁신에 있습니다. 종국에는 학교를 세우고 새로운 시대에 맞는 교육을 디자인하는 꿈을 갖고 있습니다. 두 딸의 아빠로서 바람직한 아빠의 역할과 육아방식, 그리고 미래 아이들의 교육에 대해 고민하는 것을 좋아합니다.
이 채널을 만들게 된 계기…
방금 속보를 낸 이데일리에 저도 힘을 보태기 위해서 기고문을 냈습니다.
내용은 제가 지난번 삼프로 티비때 이야기 했던 것과 그 궤를 같이합니다.
이재명 대통령은 지난 대선에서 "대한민국을 디지털자산의 허브로 만들어야 한다"는 공약을 내세웠지만, 지금 정부와 규제당국의 방향성을 보면 한국이 허브가 될 가능성은 매우 낮아보입니다.
기고문에는 짤렸지만, 사실 금투세를 폐지하자고 했던 2024년 당시 최상목 부총리의 근거가, 지금 디지털자산 과세를 폐지해야하는 근거와 같습니다.
당시에 최상목 부총리는 안그래도 힘든 주식시장에 세금까지 부과하면 투자심리를 위축시키고, 유예를 하더라도 불확실성을 주기 때문에 폐지를 주장했고, 그 당시 야당의 대표인 이재명 대통령도 이에 동의하여 금투세를 폐지했습니다.
디지털자산 과세도 똑같습니다. 안그래도 지금…
정말 도움을 요청드리고 싶어 이렇게 올립니다.
정말 무거운 마음으로 이 글을 올리게됩니다.
저희 아버지는 대형회사에서 IT담당 임원으로 계십니다. 메모리가격 인상에 따라 계약을 재체결하는 과정에서 높은가격으로 재 계약을 진행하는 과정에서 제대로 이전 계약 마무리가 제대로 되지 못하고 진행이됨과 함께 최종 결재자가 되시면서 감사에서 계속해서 회사에 수백억에 가까운 손해를 입혔다고 압박을 받으시는것 같습니다.
결론이 나지 않았지만 수백억을 추징을 당할 수 있다는 압박감에… 좋지못한 선택을 시도하셨습니다.
혹시 이와관련하여 상담을 할 수 있거나 관련 전문가를 알고 계신분이 있다면 지나치치지마시고 한번만이라도 조언을 주시면 너무나도 감사하겠습니다.
제가 지금 당장 못하더라도 꼭 평생에 걸쳐서라도 보은하겠습니다
@netdebtzer0 로 연…
https://www.instagram.com/reel/Dbb7pKHSAzZ/?igsh=MWh3MDhpcGlwbWsyeQ==
1) open ai에서 퇴사후 situation awareness라는 장문의 에세이로 실리콘밸리를 충격에 빠트림.
2) 자연스럽게 투자가 몰리게되며 약 4조원어치의 AI 테크 펀드 조성
3) 4배 레버리지를 때리며 ytd 403%의 경의로운 수익을 달성
4) 이 과정에서 조금의 꺼드럭거림 + 포지션 공개가 있었음
5) 월가의 노장들이 해당 포지션을 노리고 대량 숏을 쳤을거라고 예상됨
6) 특히 시타델의 켄 그리핀을 필두로 금리 인상에 대한 공포감을 조성하여 기술주 하락을 유도
7) 마진콜 당한 레오의 포지션을 꿀꺽
다들 이미 아시겠지만 저도 늦게나마 한번 상황파악을 해보았읍니다.
ㅇ 비트코인 34일만에 6.6만弗 회복
- 21일 비트코인은 세계 최대 거래소인 바이낸스에서 6만6149달러에 거래되고 있음.
- 비트코인이 6만6000달러를 넘어선건 지난 6월 17일 이후 34일만.
- 비트코인은 지난 1일 5만7800달러까지 하락했지만 이후 반등세를 이어가면서 20일만에 저점대비 14.44% 반등.
- 급격한 자금 유출 흐름이 이어지든 ETF에 최근들어 자금 유입이 이어지고 있고, 급격한 변동성을 보이면서 위험자산으로의 비트코인보다 높은 매력을 보여주던 글로벌 반도체 주식이 진정된 것이 원인으로 지목.
https://newsway.co.kr/news/view?ud=2026071514382560701
뭐가 어찌 되었던 한국 기업들의 고질적인 문제 였던 "discretionary bonus"의 구조를 처음으로 깨부숴준 기업이라 훌륭하다고 생각합니다.
RSU 역시 미국에는 흔히 있는 제도라.. 한국만 유독 우리사주 산 직원들이 주옥되는 해프닝들이 있었지만요.
Showing the 12 most recent of 22 posts we hold for @chrisdoublepersona. 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 — 747,945 of 1,345,403entries 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
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
Names
Channels on the register whose handles appear in this channel's posts.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“크리스 크립토 리서치 (코인, 트레이딩,리서치)” (@chrisdoublepersona), 5,212 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/chrisdoublepersona.
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.
