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 76% 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 1 other registered channel. 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 (4 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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 67 comparable posts for this entry, running 3 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_source, 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
26 measurements spanning 96 days, net +622. 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 6,628–7,452 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:50
7,357
+27
7 Nov 2026, 00:54
7,330
+1
4 Nov 2026, 05:11
7,329
+9
1 Nov 2026, 01:17
7,320
-6
29 Oct 2026, 00:40
7,326
+14
26 Oct 2026, 01:47
7,312
+18
23 Oct 2026, 03:40
7,294
+121
20 Oct 2026, 06:21
7,173
+235
17 Oct 2026, 11:50
6,938
+28
14 Oct 2026, 22:36
6,910
+57
11 Oct 2026, 21:15
6,853
+19
5 Oct 2026, 07:36
6,834
+8
26 Sept 2026, 17:42
6,826
-13
17 Sept 2026, 18:20
6,839
-5
13 Sept 2026, 14:37
6,844
-2
4 Sept 2026, 10:57
6,846
-19
1 Sept 2026, 02:19
6,865
+23
29 Aug 2026, 04:33
6,842
-16
26 Aug 2026, 01:02
6,858
+33
22 Aug 2026, 14:42
6,825
first reading
Engagement
139 posts held, back to 3 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 27 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.5%
avg views ÷ 7,357 subscribers
Avg views / post
3,270
71 posts measured
Reaction rate
0.708%
reactions ÷ views · ER floor
Posts in window
71
of 139 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 54 of 71 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
139 (3 August 2026 – 10 November 2026)
Views total
232,196
Reactions total
1,387
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 02:27 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
736
Videos
16
Links
762
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 26s
Average length
49s
Measured directly from 3 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
2,321 reactions across 101 posts, in 7 distinct kinds. The most used accounts for 42.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
977
42.1%
🫡
354
15.3%
🔥
347
15.0%
🤣
312
13.4%
🤷♂
186
8.01%
👏
89
3.83%
🤷♀
56
2.41%
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 103 of the 139 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 2,321 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 139 most recent posts we hold, published 3 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 71 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).
[NH/윤진호] 로보틱스▣ NH/로
[Web발신]
[NH/윤진호] 로보틱스
▣ NH/로보틱스 -
THE HUMANOIDS, 메이드인코리아
▶ https://m.nhsec.com/c/qa2ua
안녕하세요. NH투자증권 로보틱스 담당 윤진호 연구원입니다. 글로벌 휴머노이드 양산 확대와 CES2027을 앞둔 시점에서 Initiation 보고서를 통해 ’K-휴머노이드를 모아가야하는 이유‘에 대해 작성하였습니다.
여전히 휴머노이드가 먼 미래의 혁신으로 여겨지고 있습니다. 하지만 ’27년 미중 패권전쟁에 따라 한국이 전략적 요충지로 부상하고, 로봇 지능의 고도화가 나타나며 의심이 기대감으로 바뀔 것이라 확신합니다. 로보틱스의 가장 큰 변곡점이 될 2027년, 투자 판단에 도움이 될 수 있는 보고서로 찾아뵙겠습니다.
▣ Top Picks
▶ 로…
전고는 반드시 넘어선다
오랜 시간 시장에서 살아남으며 큰 성과를 내신 형님들이 최근 내게 공통적으로 하셨던 말씀이 전고점은 시간이 지나면 반드시 넘어선다는 말씀이었다. IMF부터 08년 금융위기, 911, 18년 금리인상이, 20년 코로나 등등을 모두 경험한 형님들의 말씀은 결국 시장에서 아웃되지 않으면 기회가 오고 꾸준히 하는 사람은 모든 기회를 잡을 수는 없어도 반드시 몇 번의 큰 기회를 다시 잡아 결국 계좌가 전고점을 넘어선다는 말씀이었다
지금처럼 어려운 장에서 수익 내는 건 아무도 못하는거고 매번 발라먹는 사람은 사기꾼이니 무리하지말고 좋은 장에 많이 먹는다 생각하고 여유를 가지고 주식 시장 떠나지 않고 있으면 또 가만히 있어도 돈이 벌리는 시기가 오고 그렇게 리스크 관리 잘하면서 가면 생각보다 빨리 전고점을 회복하니까 너무 걱…
📄 모건스탠리 – 중간선거 뒤 AI 투자, 하락을 사라 (Buy the Drop, 2026-11-08)
▪️ 결론부터 말하면, 모건스탠리는 선거 뒤 AI주 급락을 과잉반응으로 봅니다. 규제 때문에 미국 데이터센터 일부가 1년 밀리긴 하지만, AI 투자 사이클이 "꺾이는" 게 아니라 "길어지는" 것이라는 판단입니다. 하이퍼스케일러 설비투자(capex) 전망도 2027년 $1.6T, 2028년 $1.8T로 그대로 뒀습니다.
▪️ 무슨 일이 있었냐면, 민주당이 압승하면서 텍사스·오하이오 주지사가 바뀌었습니다. 텍사스 당선인은 보호장치가 입법될 때까지 신규 데이터센터 승인을 멈추겠다고 했습니다. 오하이오는 전기·수도 비용 100% 부담, 노조 인력 사용 같은 조건을 건 "조건부 모라토리엄"을 내걸었습니다. 다만 이미 승인됐거나 공사 중인 곳은 계…
[이그전] 유가 하락이 만든 반등은 유지 가능한가?
안녕하세요. KB증권 자산배분 이은택입니다.
1) 수많은 증시 하락 요인 중 가장 핵심은 ‘자본조달 문제’이고 자금 조달 문제의 근원에는 ‘인플레 우려’가 핵심입니다.
2) 따라서 탑다운 측면에선 ‘인플레’가 향후 시장의 반등과 붕괴를 만들 중요한 카드로 여기고 있습니다.
3) 이런 측면에서 어제 유가하락이 증시를 끌어올린 것은 의미가 있습니다. 다만 더 중요한 것은 근원 물가의 향후 방향입니다.
- URL: https://m.blog.naver.com/egzion/224471368550
기술적 반등인지 추세 전환인지 모르겠다. 시장에 대한 해석도 본인 포지션에 따라 극명히 갈린다
ai는 끝났다 vs 그래도 반등은 ai다
더 떨어질 수 있다 vs 여기서부터는 더 떨어져도 매수해야 한다
신용이 털려야 간다 vs 신용 털릴만큼 털렸다
25년부터 26년 상반기까지 태평성대여서 모두가 같은 의견이었다면 이제부터는 각자 생각, 상황, 포지션, 투자 방식에 따라 정말 다른 해석과 생각이 나오고 있다
어제 밤 흐름과 오늘 넥장 흐름만 봐도 아직은 변동성이 매우 큰 구간이므로 나는 조심스러운 스탠스를 취하려한다
스테이시 라스곤(번스타인)
엔비디아는 평범한 회사가 아니며, 젠슨 황도 평범한 CEO가 아니다. 그는 곧 엔비디아이며, 회사의 장기 전략과 기술 방향을 직접 설정해 왔다. 이번 사태는 명확히 공개된 CEO승계계획이 없는 엔비디아의 심각한 핵심 인물 의존 위험을 수면 위로 드러냈다.
사생활 문제는 부정하기 어려운 악재이나, 감정적인 여론몰이로 젠슨 황이 퇴진하는 사태가 벌어질 경우, 가장 큰 반사이익을 얻을 주체는 역설적으로 중국
게리 블랙(전 골드만삭스자산운용 CIO, 더퓨처펀드)
젠슨 황이 범죄나 불법 행위를 저지르지 않았더라도 행동 강령(Code of Conduct)과 판단력에 심각한 의문이 제기되어 결국 자리에서 물러나게 될 가능성이 높다고 예상. 엔비디아 내부에 자연스러운 후계자가 전무한 상태이므로, 향후 몇 주간 후계 불확실성…
⚡️⚡️⚡️ 미국과 이란, 호르무즈 해협 재개설을 위한 80억 달러 규모의 거래 검토 중
Israel Hayom에 따르면, 트럼프 대통령은 월요일 카타르 총리를 만나 동결된 자금 80억 달러를 해제해 주는 대가로 호르무즈 해협을 재개설하자는 이란 측의 제안을 논의할 예정임.
보도된 거래가 성사될 경우 이란의 걸프만 해상 선박 공격이 중단되고 미국의 제재가 해제될 수 있으나, 이란의 핵 프로그램 문제는 해결되지 않을 전망임.
JD 밴스 부통령은 행정부 고위 관리들의 반대에도 불구하고 이번 합의를 추진하고 있는 것으로 알려짐.
Showing the 12 most recent of 139 posts we hold for @comvestment. 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
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“투자콤” (@comvestment), 7,357 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/comvestment.
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.