Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 87% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
13 measurements spanning 40 days, net -708. 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 7,914–8,981 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 15:40
8,150
-44
12 Sept 2026, 03:41
8,194
-42
7 Sept 2026, 14:16
8,236
-75
2 Sept 2026, 22:15
8,311
-69
30 Aug 2026, 17:12
8,380
-50
27 Aug 2026, 07:58
8,430
-67
24 Aug 2026, 12:47
8,497
-46
20 Aug 2026, 19:47
8,543
+506
17 Aug 2026, 11:53
8,037
-190
14 Aug 2026, 06:18
8,227
-541
10 Aug 2026, 16:52
8,768
-72
7 Aug 2026, 19:40
8,840
-18
6 Aug 2026, 22:03
8,858
first reading
Engagement
299 posts held, back to 6 August 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 25 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.4%
avg views ÷ 8,150 subscribers
Avg views / post
932
45 posts measured
Reaction rate
0.131%
reactions ÷ views · ER floor
Posts in window
45
of 299 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 17 of 45 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 28 August 2026
Posts held
299 (6 August 2026 – 28 August 2026)
Views total
41,957
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 17:30 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
Video runtime
2m 49s
Average length
42s
Measured directly from 4 videos 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
576 reactions across 180 posts, in 5 distinct kinds. The most used accounts for 48.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
281
48.8%
👍
246
42.7%
😈
39
6.77%
🌚
9
1.56%
🌭
1
0.174%
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 181 of the 299 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 576 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 299 most recent posts we hold, published 6 August 2026 to 28 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
1
across the posts below
Posts paid on
1
of 299 we hold a reading for · 0.3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @yul_papa. 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 299 most recent posts we hold for this entry, published 6 August 2026 to 28 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.
🔥 에이셔 2.7조 급 AI 데이터센터 런칭
에이셔가 미국·유럽 10개 부지, 최대 20MW 규모의 AI 컴퓨팅 용량 개발을 추진
@ 핵심 포인트
🟢엔비디아 B300·GB300 64~256노드
🟢몇개월 단위의 빠른 인프라 배치 목표
🟢기존 기업 수요를 기반으로 GPU 용량 구축
@ 사업 목표
🟢2026년 말까지 최대 7억 달러 규모 계약
🟢전체 구축 시 20억 달러 이상의 총계약가치
에이셔가 외부 GPU를 연결하는 단계를 넘어, 실제 AI 인프라 용량을 개발하는 영역까지 확장하는 그림.
옵션 시장 구조로 본 잭슨홀 앞두고 주식 시장 관점
비대칭성 구조. 시장은 이미 수많은 금리 관련 악재를 견뎌냈으며 큰 매도세 없이 잘 버텨옴. 온건한 워시 의장 연설만으로 안도 랠리충분. 반면, 징정 매파적인 깜짝 발언이 나올 경우 현재 VIX가 반영하고 있는것보다 횔씬 큰 규모의 가격 재조정 일어날 수.
SPY 변동성 기간 구조를 보면 옵션 시장은 잭슨홀 미팅보다 9/4 비농업 고용보고서(NFP), 9/16 FOMC 금리 결정, 10월 중간선거에 훨씬 더 높은 변동성을 반영하고 있음
장기 금리 상승은 연준의 금리 전망뿐만 아니라 국채 공급, 재정 적자, 경기 견조, AI 인프라 투자에 따른 자금 조달 경쟁이 복합 작용하고 있음
채권 시장의 또 다른 변수는 CTA 포지셔닝이 현재 미 국채 선물에 대해 대규모 숏(매도) 포지션을 취하고…
☑️ 오늘부터 1주일간 누구나 가차 참전(링크)
크림(KREAM)에서 TCG 가챠 뽑기가 오픈되었습니다. 누구나 매일 1회 참여 가능하므로 참여해보세요
- 일정 : 8/28 11:00 - 9/4 10:59
- 매일 오전 11시 1회 응모가능
- 매일 변경되는 가차 라인업(매일 3명)
1분 투자지만 아이디 있는 분들은 매일매일 참여해보세요
오늘 굉장히 중요한 날입니다.
사실 안 중요한 날이 없긴하지만... 😂
1. 비트코인, 이더리움 옵션 만기 (오늘 17시)
2. 잭슨홀 워시 연설 (의장으로서 첫 잭슨홀 기조연설)
1) 잭슨홀 정보
- 9월 금리 인상 가능성 언급
- 장기 국채금리와 채권시장 문제
- 금융혁신·결제·암호화폐 관련 언급
2) BTC 옵션 만기
- 전체 규모: 약 63~64억 달러
- 계약 수: 약 7.9만~8.2만 BTC
- 콜 옵션: 약 4.0만~4.5만
- 풋 옵션: 약 3.7만~3.9만
- Max Pain: $68,000~$70,000
* 현재 BTC 가격은 Max Pain보다 약 $9,000~$11,000 높은 수준
3) 이더리움 정보
- 전체 Put/Call Ratio 0.58~0.74
- 옵션 포지션 구조 콜(상승) 우세
- 시장 심리 상대적…
트래드파이 자금 유입, 한국이 새 엔진. 크립토퀀트
: 누적 유입에서 미국이 256억 달러로 66.1퍼센트를 차지합니다
: 한국은 132억 달러로 33.9퍼센트이며 직전 30일 대비 증가율이 689.9퍼센트입니다
: 미국의 같은 기간 증가율은 223.3퍼센트입니다
#한국 #자금유입
알트코인 거래량 비중 2년 최고, 1350억 달러 유입. 크립토퀀트
: 알트코인의 거래량 비중이 2년 만에 가장 높은 수준으로 올라섰습니다
: 1350억 달러가 유입되며 나타난 변화입니다
: 분석자는 시장 안에서 유동성이 재분배되는 과정을 보여준다고 평가했습니다
#알트코인 #유동성
모건스탠리 크레딧 데스크의 엔비디아 평가. 모건스탠리
: 모건스탠리 기업신용 데스크가 엔비디아를 두고 아직 초기 단계이고 불투명하며 규모가 크다고 평가했습니다
: 생태계 지원이 우발채무나 계약 형태, 부외 형태로 자리 잡고 있다고 봤습니다
: 그래서 통상적인 레버리지 지표가 신용 상황을 갈수록 과소평가한다는 지적입니다
#엔비디아 #신용
S&P500 장중 변동폭 0.46퍼센트, 12월 이후 최저 근접. KobeissiLetter
: 화요일 S&P500의 장중 변동폭이 0.46퍼센트로 12월 이후 가장 좁은 수준에 근접했습니다
: 이달 대부분의 날에 장중 변동폭이 0.75퍼센트를 넘지 않았습니다
: 게시자는 다음 큰 움직임을 앞둔 응축 국면으로 봤습니다
#S&P500 #변동성
Showing the 12 most recent of 299 posts we hold for @yul_papa. 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
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
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
ಕನ್ನಡ ಕ್ವಿಜ್ ಚಾನೆಲ್ | Kannada Quiz Channel @kannada_kpsc_quiz · 40,389 Telegram ranks this channel #42 of 56 here — alongside 55 others — read 30 August 2026
تترا |نرخ لحظهای @tethera_io · 51,544 Telegram ranks this channel #57 of 63 here — alongside 62 others — read 23 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“T.A Crypto” (@yul_papa), 8,150 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/yul_papa.
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.