3 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 1,320–1,322 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 10:46
1,320
-2
7 Aug 2026, 22:31
1,322
no change
7 Aug 2026, 17:51
1,322
first reading
Engagement
19 posts held, back to 18 June 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
22.7%
avg views ÷ 1,320 subscribers
Avg views / post
300
6 posts measured
Reaction rate
1.56%
reactions ÷ views · ER floor
Posts in window
6
of 19 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 5 of 6 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 5 August 2026
Posts held
19 (18 June 2026 – 5 August 2026)
Views total
1,801
Reactions total
23
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 22:31 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
65 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 30.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
20
30.8%
👍
14
21.5%
👎
12
18.5%
😁
11
16.9%
🔥
4
6.15%
😭
3
4.62%
🥴
1
1.54%
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 12 of the 19 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 18 June 2026 to 5 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.
: : [크립토/이슈] 이더리움은 당장 발행량을 줄여야 하는가
작성자: 리자몽
- 스테이킹 비율이 50%에 도달하면 밸리데이터의 순수익률이 0이 되도록 보상 일부를 소각하는 제안 TIB(EIP-8363, Tapered Issuance Burn)가 제출됐다. 차기 하드포크 헤고타의 검토 일정을 불과 이틀 앞둔 시점이었고, 커뮤니티는 제안의 내용과 함께 사전 의견 수렴 없는 등장 방식까지 비판하고 있다.
- 소각은 프로토콜 차원에서는 모두에게 동일하게 적용되지만, 현실의 밸리데이터 시장에서는 중립적이지 않다. 수익률이 낮아지면 솔로 스테이커와 독립 운영자가 먼저 밀려나 검증자 집합이 소수 대형 사업자로 집중되고, 스테이킹 수익률을 기준금리 삼는 온체인 경제(DeFi) 전반까지 흔들릴 수 있다.
- 그럼에도 이더리움의 발행 모델은 언젠가 반드…
: : 포필러스, 국내 대학 블록체인 학회 대상 "Four Pillars Research Challenge 2026" 개최
포필러스가 국내 주요 대학 블록체인 학회를 대상으로 총 상금 $8,000 규모의 리서치 경진대회인 "Four Pillars Research Challenge 2026"을 개최합니다.
솔라나(Solana), 메타마스크(MetaMask), 칸토8(Cantor8), 서프 AI(Surf AI)가 스폰서로 참여하여 4개의 리서치 트랙이 존재하며, 참가 학회들에게는 더블록 프로(The Block Pro)와 서프 AI의 유료 구독 계정이 제공될 예정입니다.
공정한 대회 진행을 위해 참가 신청부터 리서치 작성, 제출은 전부 익명으로 진행되며, 10월 1일 저녁에는 해시드 라운지에서 시상식 및 학회 중심의 행사가 있을 예정이니 많…
이더리움 스테이킹의 20% 이상을 차지하고있는 Lido에 "드디어" 0x02 타입 밸리데이터가 도입됩니다.
32ETH 단위로 쪼개져 있던 라이도의 밸리데이터들이 2048ETH 단위로 통합되면서 이더리움 밸리데이터 수는 20만개 이상 줄어들 것으로 예상해볼 수 있습니다. (Lido 추정 88만 → 62만)
이를 통해 이더리움 메인넷이 얻는 가장 큰 이점은 합를 위한 서명 부하가 감소한다는 점입니다.
밸리데이터 수가 26만개 줄어들면 에포크당 어테스테이션(블록 투표) 메시지가 약 29% 줄어들 것으로 추정됩니다.
밸리데이터 수는 곧 네트워크가 매 슬롯 집계하고 검증해야 하는 서명의 개수이기 때문입니다.
이 집계 부담은 이더리움이 블록 타임을 줄이는과 1 슬롯 최종성을 도입하는 것에 걸림돌이 되어 왔습니다.
실제로 스테이킹되는 이더리움은 지…
🔹이더리움 코리아에서 한국에서 열심히 빌딩&연구하고 있는 분들을 찾습니다!
올해 발족된 이더리움 코리아 컨소시움에서 한국의 연구자&기여자분들을 대상으로 하는 그랜츠 프로그램을 진행합니다.
큰 상금은 아니지만, 글로벌 빌더들과의 연결 기화와 11월 Devcon참가 비용 등을 지원해드립니다!
대상인 사람
• 프로토콜, 합의, 거버넌스, 경제 메커니즘을 다루는 연구자
• 이더리움 생태계 오픈소스에 실질적으로 기여하는 빌더
• 한국 시장의 맥락에 기반한 이더리움 관련 연구를 준비 중이거나 진행 중이신 분
선정시
• 해외 컨퍼런스(DEVCON) 참가와 발표를 위한 항공·숙박 경비 지원
• 이더리움 코리아 네트워크를 통한 글로벌 콜 연결
• 9월 EK1 컨퍼런스 발표
• 국내외 빌더·연구자 네트워크 지원
접수 기간은 8월 1일부터 8월 23일까지…
Crime eater
텐버거 코인 발굴하는건 영 소질이 없는데 크라임 코인들 저배 숏으로 먹는게 할만한것 같습니다.
1. 유통량이 철저하게 통제된 상태에서
2. 한국 거래소는 빗썸 정도에만 상장되어있고
3. 실제 상승을 주도하는 내러티브나 하이프가 있는것도 아닌데
4. 무지성 상승으로 시총 30위권 이내로 들어온 코인
만트라, 밈코어 등 1년에 2~3개정도는 발굴할수 있는것 같습니다.
단 메가 불장에는 1~2배 숏도 청산 엔딩일수 있으니 하지 않는것이 좋으며,
한번에 진입하지 말고 숏도 10번 이상 분할로 계속 물타면서 기도하면 시총 20위 부근에서 결국 크라임 엔딩인 경우가 많네요.
: : [데이터/코멘트] 이더리움은 정말 “월드” 컴퓨터 인가?
작성자: 리자몽
'월드' 컴퓨터 이더리움. 타입별 밸리데이터 노드의 분산과 지역적 공백, 그리고 기회를 살펴본다.
🌎 코멘트 전문 (X / 웹사이트)
FP Website | Telegram (EN / KR) | X (EN / KR)
🔥3
Signed Rejamong
Showing the 12 most recent of 19 posts we hold for @rejamong. 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 — 1,004,087 of 1,189,255entries 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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“리자몽” (@rejamong), 1,320 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/rejamong.
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.
