그리고 원래 비트살려고 생각한건 그냥 금현물 샀음 비트는 뭔가 그 네러티브 힘이 지금으로써는 좀 약해진 느낌이라 양자컴퓨터 보안비용은 차치해도 6만달러에 사야하는 매력을 잘 몰르겟음 올라주면 좋은건데 그냥 좀 길게 박스권 일거같은 느낌 갈수록 탈비트화는 심해지지않을까

Channel
이륙허가방
@tepig_3
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
95subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003850734241 |
|---|---|
| Type | Channel |
| Username | @tepig_3 |
| Description | 사기 전에 허락 맡는 방 뇌동매매금지 채팅방 https://t.me/+YUESM0K0sUZjODE1 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/tepig_3 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 12:45 | 95 | no change |
| 7 Aug 2026, 19:43 | 95 | first reading |
Engagement
20 posts held, back to 31 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 68.4%
- avg views ÷ 95 subscribers
- Avg views / post
- 65.0
- 20 posts measured
- Reaction rate
- 2.37%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 4 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 20 (31 July 2026 – 9 August 2026) |
| Views total | 1,300 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 12:45 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
- 21
- Videos
- 1
- Links
- 6
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 2m 59s
- Average length
- 2m 59s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
8 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| 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 20 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 20 most recent posts we hold, published 31 July 2026 to 9 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
언제나 대전제는 27년은 온체인 금융의 원년 그럼에도 불구하고 관련 자산들은 규제 불확실성/유동성 상황/사이클 논리 등등으로 할인 당한 상태 네러티브가 형성되면서 유동성 상황이 개선되면 빠르게 반전되기 좋은 구조 그렇다면 이 대전제가 참일때 가장 안정적으로 수익을 낼수있는 트레이드에 대한 고민을 쭉했는데 결론은 저 대전제의 배팅할 총 금액에서 깔끔하게 ETH 6 COIN 4 일단 자산군을 두개로 나눔 화폐, 담보 자산/현금 흐름 자산 하이퍼리퀴드 이후로 L1 토큰들에 대해서 수수료를 전통 금융 방식으로 일괄적으로 밸류에이션하는게 유행했고 그 덕에 좀더 할인 당함 설득력은 있었고 시장참여자는 대부분 그렇게 생각했으나 결국 잘못된 접근이라고 개인적으로 결론 내림 이더리움은 순수한 대전제에 따른 트레이딩 1. 5년 박스권의 저점…
🔥3
장 처망할거 알아서 작년에 거위배 급하게 가르고 TGE 연속 설거지권으로 진짜 마지막 불씨까지 싹싹 해먹은 후 남은 계약 허겁지겁 처리하는 역겨운 모습
$KMNO listed on Upbit spot (KRW)
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 진행되지 못하고 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
비트는 이 이슈 해결 전까지는 손이 안가긴함.. 해결할거 같긴한데 한동안 비이솔은 각자도생 노선으로 가게 될거같은
비트마인 톰리, 양자컴퓨터가 2년안에 비트코인 해킹가능 "비트코인은 이를 막는 방법에 대한 합의가 아직 나와 있지 않다" "이더리움이나 솔라나에게는 문제가 되지 않을 것" "구글은 모든 암호화가 2028년까지 뚫릴 수 있다고 생각한다"
이쁘긴함
포켓몬 카드 관심있으면 지금 시점에서는 tag team << 이 시리즈 밖에 없는거같네 1. 일러스트가 진짜 이쁨 2. 인기 포켓몬이 많음(다크라이&블래키, 제크로무&피카츄 등등) 3. 18-19년 상대적으로 PSA 수량이 적고 실전에서 쓰인 카드가 많아서 상태좋은 카드가 적음 당장 오르는거 보다는 이뻐서 맘에 드는거 있으면 진짜 길게 수집할 만한 느낌 일단 난 오리파 보일때 마다 통털이하는중..
흑인글 예전꺼부터 쭉 읽어보고 있는데 이미지는 좀 그래도 은근 논리 방향이 대쪽 같아서 배울게 많음 비트랑 이더의 시계열이 달라지는걸 어떻게 해석할지가 고민이긴함 ( 비트는 신용위기 이후/이더는 AI버블 터지기 전) 근데 각 자산군 지들끼리 놀기시작한게 한두번도 아니고 뭐 일단 이더만 모을 생각
흑형 풀매수 선언 아서 헤이즈 새로운 에세이 요약 : 내꺼인듯 내꺼아닌 내꺼같은 너(썸) [크립토, 주식 관련 내용] - 현재 AI 캐펙스는 기술 투자가 아닌 부동산 투자임 - 데이터센터는 감가상각되는 칩을 넣어두는 부동산일 뿐임 - 이번 AI 버블은 2000년 닷컴처럼 실적 스토리가 아니라 2008년 서브프라임처럼 신용 스토리일 것 - 칩은 시간이 갈수록 전력당 성능이 기하급수적으로 좋아짐. 즉, 지금 지어놓은 물리적 인프라는 몇 년 뒤 구식이 됨 - 데이터센터 부동산은 포화돼도 AI 토큰 소비는 계속 늘 수 있음. 둘 다 참일 수 있는 얘기임 - 하이퍼스케일러가 AI 캐펙스 자금 대려고 발행한 부채는 전부 부외(장부 밖)에 숨어 있음 - 신용 스토리이기 때문에 정부는 반드시 구제금융에 나설것 - 그 잘못 배분된 자본이 결국 크립토로 흘…
키미 성능 보고 모델 다양화,경쟁/경제성 개선 > 클라우드 생각한건데 아마존 이거 왜 전고점임.. 마소도 전고점이네 빌빌기던거 아녓나
Showing the 12 most recent of 20 posts we hold for @tepig_3. 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 — 256,326 of 1,183,361entries 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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“이륙허가방” (@tepig_3), 95 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/tepig_3.
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.