Hacking & security — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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 2 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 (3 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. 2 of the 2 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 227 comparable posts for this entry, running 5 August 2026 to 10 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 key clone_mutual, last confirmed 11 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
65 measurements spanning 97 days, net -736. 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 16,391–17,347 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 22:07
16,501
-6
9 Nov 2026, 10:44
16,507
-2
8 Nov 2026, 00:15
16,509
-9
6 Nov 2026, 21:14
16,518
-8
5 Nov 2026, 21:36
16,526
-4
4 Nov 2026, 22:17
16,530
-6
4 Nov 2026, 00:55
16,536
-5
3 Nov 2026, 04:19
16,541
-6
2 Nov 2026, 07:36
16,547
-3
1 Nov 2026, 08:35
16,550
-3
31 Oct 2026, 11:06
16,553
-14
30 Oct 2026, 08:48
16,567
-3
29 Oct 2026, 06:09
16,570
-15
28 Oct 2026, 05:18
16,585
-16
27 Oct 2026, 04:07
16,601
+2
26 Oct 2026, 05:07
16,599
-7
25 Oct 2026, 07:05
16,606
-4
24 Oct 2026, 04:47
16,610
-1
23 Oct 2026, 08:16
16,611
-1
22 Oct 2026, 09:59
16,612
first reading
Engagement
563 posts held, back to 5 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.03%
avg views ÷ 16,501 subscribers
Avg views / post
665
108 posts measured
Reaction rate
0.291%
reactions ÷ views · ER floor
Posts in window
108
of 563 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 45 of 108 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 10 November 2026
Posts held
563 (5 August 2026 – 10 November 2026)
Views total
71,830
Reactions total
92
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:16 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
≈17,400
Videos
≈354
Links
≈16,900
Lifetime counters from Telegram’s own channel header, read 11 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.
Reaction mix
341 reactions across 143 posts, in 12 distinct kinds. The most used accounts for 53.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
182
53.4%
🔥
41
12.0%
👍
36
10.6%
😱
22
6.45%
🐳
21
6.16%
👌
14
4.11%
😭
12
3.52%
🎉
3
0.88%
💯
3
0.88%
😢
3
0.88%
👏
2
0.587%
😁
2
0.587%
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 169 of the 563 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 354 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 563 most recent posts we hold, published 5 August 2026 to 10 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.
Advertising
Ad load
0.178%
1 of 563 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
624
over 1 measured post
Median views · rest
651
over 561 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 563 most recent posts we hold, published 5 August 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 108 posts held from the last 30 days (0%) 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).
Arcus, 잔액 부풀리기 버그로 223만 USDG 유출
공식 사고보고서에 따르면 한국시간 11월 10일, 공격자가 자기 서브계정끼리 자금을 옮기는 과정의 버그를 악용해 실제보다 잔액을 크게 부풀린 뒤 출금함.
실제 유출액은 2,234,391 USDG
추가 300만 달러 출금은 브리지 출금 한도에 막혔고 이후 취소
팀은 전체 출금을 중단하고 패치한 뒤 약 5시간 만에 출금 재개
부족분은 회사 재원으로 전액 보전했으며, 다른 이용자의 잔액·포지션·주문에는 영향이 없었다는 설명
유저 자금에 손실은 없다고 하지만 돈이 빠져나갔고 그 구멍을 회사가 메운 사건임. 유출 자금은 회수 완료가 아니라 추적 중이라고 함
대충 팀 자금에서 30억정도 빵꾸난듯. 서브계정 복사버그 뭐냐...
https://arcus.xyz/blog/arcus-inc…
클로드 주간 한도 리셋권 한장씩 나눠줌 !
만료일: 12월 11일 오전 7:00 GMT+9
---
최근 의도보다 더 많은 한도를 사용하게 만든 몇 가지 작은 문제를 수정했습니다. 그리고 Fable 리셋은 이미 모든 모델에 대한 주간 한도에 도달한 사용자들에게 큰 도움이 되지 않았습니다. 이러한 문제는 모든 사용자에게 영향을 미치지 않았지만, 불편을 드린 점에 대해 보상하고자 합니다.
[Walter Bloomberg] 연준의 50bp 인상 가능성 다시 부상
나티시스는 예상보다 뜨거운 미국 인플레이션과 연준의 매파적 발언으로 인해 12월 금리 인상이 확실시되고 있다고 밝혔습니다.
예측 시장은 25bp 초과 금리 인상 가능성을 12%로, 표준 25bp 인상 가능성을 85%로 가격 책정하고 있습니다.
📰원문/번역 🏦연준 관찰 📲앱 다운로드
[머니투데이] [속보] 코스피, 매수 사이드카 발동…올해 28번째
🔗자세히 보기 📊시장 현황 📲앱 다운로드
🔥1
Showing the 12 most recent of 563 posts we hold for @kookookoob. 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
@kookookoob 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
10 August 2026
Most recent edit
10 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 10 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.
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.
에어드랍코리아 (Airdropkorea) @airdrop_kor · 21,269 Telegram ranks this channel #3 of 84 here — alongside 83 others — read 24 September 2026
30대에 은퇴번복한 머피 @murphybus · 19,909 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 28 September 2026
DeFi 농부 👨🏻🌾 조선생 @BSC_Farmer_KR · 20,255 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 26 September 2026
🔥요블이 세상살이🔥 @yobeullyANN · 22,236 Telegram ranks this channel #6 of 85 here — alongside 84 others — read 21 September 2026
새우잡이어선 공지방 @shrimp_notice · 28,330 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 9 September 2026
신기술은 돈이 된다 공지방 @tlsrltnf · 22,355 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 20 September 2026
잼민123🦅 @mujammin123 · 25,756 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 13 September 2026
기분좋은 마곤 @magonia_b · 26,189 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 11 September 2026
코인같이투자 정보 에어드랍🦋 @WeCryptoTogether · 48,170 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 25 August 2026
크립토퀀트 알람 @cq_alert_kr · 21,587 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 22 September 2026
불개미 CRYPTO @fireant_crypto · 32,703 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 4 September 2026
우리는 트윗충 @twitchoong · 79,274 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 25 August 2026
취미생활방📮 @enjoymyhobby · 48,840 Telegram ranks this channel #12 of 92 here — alongside 91 others — read 25 August 2026
졸업준비위원회🎓 @officialunivercityofcrypto · 22,675 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 19 September 2026
해달의 투자 정보 공유 @seaotterbtc · 30,000 Telegram ranks this channel #14 of 94 here — alongside 93 others — read 7 September 2026
텔레그램 코인 방,채널 - CEN @emperorcoin · 35,511 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 19 August 2026
코인 갤러리(Coin gallery) @dogeland01 · 20,918 Telegram ranks this channel #17 of 85 here — alongside 84 others — read 24 September 2026
마샬 공유방 2.0 @marshallog · 21,370 Telegram ranks this channel #21 of 81 here — alongside 80 others — read 22 September 2026
Layergg exchange & project alert @layergg · 19,298 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 1 October 2026
ZAP Tech News @zaponblast · 62,962 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 21 August 2026
갓물주 (코인정보, 돈되는거) @godmulzoo · 22,609 Telegram ranks this channel #28 of 81 here — alongside 80 others — read 19 September 2026
차분남(차트분석하는남자) @chavoonnam · 21,088 Telegram ranks this channel #29 of 80 here — alongside 79 others — read 24 September 2026
New Listings Feed @NewListingsFeed · 59,178 Telegram ranks this channel #31 of 84 here — alongside 83 others — read 23 August 2026
Gram 🇰🇷 @toncoin_kr · 22,951 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 30 September 2026
This channel appears in 33 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“쿠쿠쿱 koob 6.0” (@kookookoob), 16,501 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/kookookoob.
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.
