Crypto & trading — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 7 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 3 of the 3 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 136 comparable posts for this entry, running 4 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the keys clone_mutual · clone_source, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
64 measurements spanning 100 days, net +229. 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 11,656–12,295 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
14 Nov 2026, 03:47
12,098
-7
11 Nov 2026, 12:08
12,105
-5
9 Nov 2026, 20:39
12,110
-3
8 Nov 2026, 13:34
12,113
-14
6 Nov 2026, 09:37
12,127
-6
5 Nov 2026, 12:21
12,133
-3
4 Nov 2026, 14:46
12,136
-8
3 Nov 2026, 17:28
12,144
-9
2 Nov 2026, 13:55
12,153
-5
1 Nov 2026, 13:58
12,158
-4
31 Oct 2026, 13:59
12,162
+1
30 Oct 2026, 16:16
12,161
-7
29 Oct 2026, 13:54
12,168
+8
28 Oct 2026, 11:11
12,160
-13
27 Oct 2026, 08:19
12,173
-1
26 Oct 2026, 09:51
12,174
-3
24 Oct 2026, 09:46
12,177
-4
23 Oct 2026, 09:27
12,181
-10
22 Oct 2026, 07:46
12,191
-2
20 Oct 2026, 22:37
12,193
first reading
Engagement
215 posts held, back to 4 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.83%
avg views ÷ 12,098 subscribers
Avg views / post
826
125 posts measured
Reaction rate
0.59%
reactions ÷ views · ER floor
Posts in window
125
of 215 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 122 of 125 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 14 November 2026
Posts held
215 (4 August 2026 – 14 November 2026)
Views total
103,285
Reactions total
601
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 09:29 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
≈4,320
Videos
≈178
Links
≈3,430
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 55s
Average length
35s
Measured directly from 5 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
1,006 reactions across 204 posts, in 3 distinct kinds. The most used accounts for 85.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
858
85.3%
🔥
86
8.55%
👍
62
6.16%
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 209 of the 215 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 1,029 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 215 most recent posts we hold, published 4 August 2026 to 14 November 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
Telegram’s own ‘edited’ marker: 5 of 125 posts held from the last 30 days (4.00%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
계왕권은 어제 철회..
1차로 714에 매수, 720즘에 25% 덜어냄
: 예상하는 저점대비 너무 높은 곳부터 수량 많이 잡았다 느낌
2차로 68.4에 같은 물량 물탐
: 여기서부터 튀어오르는 듯한 반등 안나오는거 보면서 ㅈ대따 느낌.
어제 PPI때 70K에 걸어둔거 다 체결하면서 0.05 $BTC 소실하면서 마무리
: 현재 $66K 에 다시 호가대고 기다리는 중.
똥게이같이 번복한 이유는 모든 하락 구간에 매수주체가 존재하는 듯한 반등이 안나옴. 뭐 지표 이런거 모르겠고.. 느껴지는게 있잖슴. 노인의 허리같이 일어서지 못하는 느낌이랄까.
제 실력상 승부보기 좋은 구간은 아니라고 생각하고 모르는 영역이라 생각해 계왕권은 접어두고 현물 모으기로 전환.
번복맨이라 미안해...
현재 가격대 밀리면 64K 가격대까지 당장 밀릴꺼고
반등이 나와서 현재구간까지 재차 반등해도 중장기적으로 다시 횡보하다가 결국 42K까지도 떨어질 가능성이 열려있습니다.
그래서 현재 66K구간이 장기적으로 굉장히 중요합니다.
현재구간을 방어하게 되면 단기적으로는 72K 중장기적으로는 77K까지 반등도 노려볼수 있음.
속도가 상당히 빠르게 떨어지고 있고 주말인 만큼, 반등할 여지가 아예 없는것 같지는 않아보여서 저도 지켜보는중.
금일 64K까지 떨어지면 67K까지는 반등이 나올수도 있겠지만
구조적으로 어차피 다시 횡보하다가 또 떨어지게 되있을꺼고
그리고 저주하는게 아니라 지금도 더 떨어져야하느니 50K 40K 30K 운운하는데 어디까지 떨어지던 어차피 시장이 그전에 어떻게든 롱으로 스위칭하게 만들고 그사람들이 롱으로 스위칭한 돈까지 숏으로…
시장 요약
1. 대충 젠슨황이 아시안들한테 칩 갓다판게 중국으로 다 새나갔다는 이야기
2. 중국쪽 ai 전부 엔비디아 칩 이용해서 개발했다고 뉴스 퍼지는중
3. 엔비디아 CEO(임시) 바뀜, 백인 CEO됬으니 정부에서 중국으로 나가는 칩 규제 더 빡세게 할거임
4. 엔비디아 뉴 CEO(임시) 순환금융 싫어함 (이게 말이되나 싶긴함)
5. 연준 굴스비가 이란전쟁 해결되도 정제시설 병목생겨서 정제유 가격 안잡힌다는 발언
뇌피셜
엔비디아, 반도체쪽 하락으로 펀드들 증거금 마련한다고 금,은,채권,코인 등 팔아치움, 유동성 이슈가 있다고 생각
아무튼 시장에 도움이 되는 내용이 하나도 없다..
앤트로픽 IPO 전 타임라인을 보면 증시 큰 영향을 주지 않기 위해 속도 조절한게 보인다고 생각함
6월 Fable 5 출시 이후 11월까지 5개월 만에 내놓은 결과물을 보면 결정권을 제외한 대부분의 사무직 업무를 대체할 수 있는 수준
자사 플랫폼에 mail, word, sheet 등을 끼워팔던 빅테크들이 왜 이렇게 긴장했는지 알 수 있는 대목이 아닌가 함
시대는 달랐지만 시가총액 $2T의 기업이 4년만에 나타났다는게 충격이고 얼마나 더 발전할지 모른다는게 문제
특히 IPO 전 공개했던 하드웨어 설계는 내년에 꽤나 이슈가 될 것 같음
Sonar $ZOTH 세일 리마인드
기존 공지글 요약
- KYC : ~11월 16일까지
- 세일기간 : 11월 16~29일
- 할당량 공개 : 12월 5일
10% 캐시백 링크
- 캐시백은 zMAG7로 지급
또한 DOKDO 캠페인 참여시 추가 보상이 있습니다
ZOTH 한국 공지방 l 채팅방
✔️이더리움 재단 연관 지갑, 2,000 ETH 추가 매도
ETH 가격이 $2,000 아래로 내려간 가운데, 이더리움 재단 연관 지갑이 추가로 2,000 ETH를 매도했습니다.
• 11월 13일: 2,000 ETH 매도 (약 $387만)
• 10월 26일 이후: 누적 6,785 ETH 매도 (약 $1,445만)
• 현재 잔액: 21,247 ETH (약 $4,110만)
온체인 거래 내역
AI 메타에 포함되는 Velo Protocol
OG 프로젝트이자 과거 글로벌 송금과결제에 집중했던 Velo가 이제는 AI PayFi를 중심으로 금융 생태계를 확장중입니다
Velo의 실제 금융 인프라
Orbit Plus – 15개국 운영 스테이블코인 지갑
Velo Card – 온라인 USD 결제 지원
은행 – 스테이블코인을 현지 은행 계좌로 출금
최근 AI 관련 크립토 프로젝트들의 시가총액을 비교해보면
주요 프로젝트 시가총액 비교
Kite (KITE) : 약 $363M
Quack AI (Q) : 약 $136M
Velo Protocol ($VELO) : 약 $57M
VELO의 시가총액은 Kite 대비 약 15% Quack AI 대비 약 42% 수준입니다. 낮은 시가총액과 더불어 26년 4분기에는 AI 에이전트가 항공권 예약부터 결제까지 …
🦋 Flap X Pixie AMA: 내가 만든 밈이 진짜 코인이 된다면?! ✨
30분 만에 밈코인 만들기 + 네이밍 월드컵!
코딩 몰라도 OK! 픽시가 방구석 TGE 보여드릴게요!
✅ 밈코인 네이밍 월드컵
방송에서 만들 기발하고 재미있는 코인 이름을 이 글에 댓글 남겨주세요!
라이브에서 8강 월드컵으로 최종 우승작을 뽑고
Flap에서 직접 만들어볼 예정입니다 🎀
✅ 청취 리워드
* 월드컵 1등: 50 USDT
* 월드컵 2등: 30 USDT
* 베스트 채팅상 10명: 햄버거 셋트
(볼륨, 재치, 센스, 참여도 각각 핸드픽!)
* 라이브 참여자 커피 50잔
📍 구글폼 링크 [ LINK ]
⏰ AMA 일정
* 11월 16일(월) 오후 9시 (KST)
* 호스트: Pixie, 게스트: Yoon (Growth Lead)
* 장소: 픽시의 X …
0G · Magic AMA 사전질문 당첨자 안내
금일 사전질문 당첨자 리스트에 누락이 발생하여 이를 정정했습니다
- 사전질문 당첨자 리스트 : @Doochuchu @kbh1772 @quintora58 @soonuu78 @Get7money @one0onebtc @hwayongjin @Web4god @kdwpyc @misty2318
위 당첨자분들은 오늘 기프티콘 발송 시간이 지나 다음주 월요일에 상품을 받으실 수 있습니다
🎁 0G · Magic AMA 당첨자 안내
0G Magic AMA에 참여해 주신 모든 분들께 감사드립니다!
📢 당첨자 확인 및 보상 안내
👉🏻 당첨자 명단 확인하기
보상은 이벤트리를 통해 수령하실 수 있습니다.
📅 보상 수령 기간 : 2026년 11월 13일 17:00 ~ 11월 14일 17:00
당첨되신 분들 모두 축하드리며, 앞으로도 0G 생태계에 많은 관심 부탁드립니다!
👍8
Signed MAGIC
Showing the 12 most recent of 215 posts we hold for @dolgommagic. 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.
Posts edited after publishing
@dolgommagic edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
15 August 2026
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 21 registered channels — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@dolgommagic named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@rwamemethebull named in 2 posts, 5 November 2026 – 6 November 2026
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.
New Listings Feed @NewListingsFeed · 59,134 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 23 August 2026
변창호 코인사관학교 BCH @BChoSN · 26,320 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 15 September 2026
신기술은 돈이 된다 공지방 @tlsrltnf · 22,343 Telegram ranks this channel #34 of 86 here — alongside 85 others — read 20 September 2026
30대에 은퇴번복한 머피 @murphybus · 19,905 Telegram ranks this channel #36 of 88 here — alongside 87 others — read 28 September 2026
새우잡이어선 공지방 @shrimp_notice · 28,311 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 9 September 2026
불개미 CRYPTO @fireant_crypto · 32,684 Telegram ranks this channel #40 of 92 here — alongside 91 others — read 4 September 2026
폐지줍기 연구소 @airdr0p_lab · 20,446 Telegram ranks this channel #42 of 88 here — alongside 87 others — read 26 September 2026
🔥요블이 세상살이🔥 @yobeullyANN · 22,175 Telegram ranks this channel #45 of 85 here — alongside 84 others — read 21 September 2026
에어드랍코리아 (Airdropkorea) @airdrop_kor · 21,248 Telegram ranks this channel #46 of 84 here — alongside 83 others — read 24 September 2026
기분좋은 마곤 @magonia_b · 26,164 Telegram ranks this channel #46 of 88 here — alongside 87 others — read 11 September 2026
졸업준비위원회🎓 @officialunivercityofcrypto · 22,651 Telegram ranks this channel #51 of 86 here — alongside 85 others — read 19 September 2026
잼민123🦅 @mujammin123 · 25,742 Telegram ranks this channel #51 of 86 here — alongside 85 others — read 13 September 2026
마샬 공유방 2.0 @marshallog · 21,351 Telegram ranks this channel #55 of 81 here — alongside 80 others — read 22 September 2026
코인같이투자 정보 에어드랍🦋 @WeCryptoTogether · 48,126 Telegram ranks this channel #57 of 90 here — alongside 89 others — read 25 August 2026
취미생활방📮 @enjoymyhobby · 48,799 Telegram ranks this channel #60 of 92 here — alongside 91 others — read 25 August 2026
DeFi 농부 👨🏻🌾 조선생 @BSC_Farmer_KR · 20,228 Telegram ranks this channel #61 of 88 here — alongside 87 others — read 26 September 2026
에어드랍ATM @Bounty_ATM · 25,790 Telegram ranks this channel #72 of 79 here — alongside 78 others — read 14 September 2026
해달의 투자 정보 공유 @seaotterbtc · 29,999 Telegram ranks this channel #75 of 94 here — alongside 93 others — read 7 September 2026
우리는 트윗충 @twitchoong · 79,159 Telegram ranks this channel #79 of 91 here — alongside 90 others — read 25 August 2026
COINNESS News Feed (코인니스) @coinnesskr · 30,357 Telegram ranks this channel #80 of 91 here — alongside 90 others — read 6 September 2026
This channel appears in 20 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“돌곰배와 매직 코인일기” (@dolgommagic), 12,098 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/dolgommagic.
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.