Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 33% 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 4 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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. 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 150 comparable posts for this entry, running 23 July 2026 to 9 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).
Of the group of 2 channels, the one whose matching posts we hold earliest is @ym_research — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
65 measurements spanning 97 days, net +163. 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 39,594–40,153 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 11:20
39,821
-19
9 Nov 2026, 20:01
39,840
-8
8 Nov 2026, 13:15
39,848
-8
7 Nov 2026, 06:37
39,856
-2
6 Nov 2026, 07:41
39,858
-22
5 Nov 2026, 10:46
39,880
-6
4 Nov 2026, 09:09
39,886
-4
3 Nov 2026, 08:28
39,890
-10
2 Nov 2026, 07:16
39,900
-20
1 Nov 2026, 04:47
39,920
-12
31 Oct 2026, 02:50
39,932
-20
30 Oct 2026, 04:45
39,952
-7
29 Oct 2026, 02:50
39,959
-12
27 Oct 2026, 21:51
39,971
-24
26 Oct 2026, 18:11
39,995
-16
24 Oct 2026, 20:38
40,011
-11
23 Oct 2026, 18:31
40,022
-5
22 Oct 2026, 18:37
40,027
-12
21 Oct 2026, 17:16
40,039
-5
20 Oct 2026, 16:38
40,044
first reading
Engagement
233 posts held, back to 23 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 185 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
32.6%
avg views ÷ 39,821 subscribers
Avg views / post
13,000
41 posts measured
Reaction rate
0.285%
reactions ÷ views · ER floor
Posts in window
41
of 233 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
233 (23 July 2026 – 11 November 2026)
Views total
532,190
Reactions total
1,516
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 10:14 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 50s
Average length
43s
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
9,294 reactions across 230 posts, in 3 distinct kinds. The most used accounts for 52.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,916
52.9%
👍
3,141
33.8%
🔥
1,237
13.3%
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 233 of the 233 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 9,457 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 233 most recent posts we hold, published 23 July 2026 to 11 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: 1 of 41 posts held from the last 30 days (2.44%) 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).
[삼양식품, 베트남 신공장 투자 관련 코멘트_유안타 손현정]
-베트남 신공장 건설에 2,186억원 투자 결정. 2029년 1월 준공 목표. 초기 1개 생산라인을 설치하되, 향후 총 8개 라인까지 확장 가능한 공장을 선제적으로 건설
-생산CAPA 전망
2026년 25억식 → 2027년 38억식 → 2029년 39억식 → 중장기 최대 49억식
-베트남 최종 8개 라인 구축 시 연간 약 10~11억식 추가, 2027년 대비 생산능력 약 30% 확대 가능
1. 2029년부터 추가 매출 기여 시작
-2027년 중국 자싱공장(11.3억식) 가동으로 글로벌 CAPA 약 37.8억식 확보
-2029년 베트남 초기 1개 라인 가동 시 CAPA 약 1.2~1.4억식 추가 예상. 글로벌 CAPA 약 39억식으로 확대
-초기 1개 라인 기준 연간 매출 잠재력…
안녕하세요. 한국투자증권 염동찬입니다.
외국인 매매에 대한 자료를 작성했습니다. 올해 외국인이 200조원 이상을 순매도했는데요. 이 중 180조원이 삼성전자와 SK하이닉스에 집중되어 있습니다.
국적별로 살펴보면 올해 한국 비중을 가장 많이 순매도한 국가는 영국입니다. 예전에 ‘세계사에 문제가 있을 때 배후에는 보통 영국이 있다’는 밈이 있었는데요. 올해 한국 외국인 순매도를 살펴보면 배후에는 영국이 있었습니다.
특히 9월까지 영국계 순매도 금액은 97조원인데, 이 중 76조원을 6월~9월에 순매도했습니다.
원인으로 생각할 수 있는 내용은 영국의 상속세 개편입니다. 기존에는 연금 가입자 사망 시 대부분의 미사용 연금은 상속세 과세 대상에서 제외되었는데, 2027년 4월부터는 과세 대상이 됩니다. 해당 내용은 올해 3월에 확정되었고, 세부…
속보: 미국 민주당이 도널드 트럼프 대통령이 캐나다산 제품에 부과한 관세를 철회하는 방안을 추진하고 있다.
내년 1월 상원 재무위원장에 오를 론 와이든 상원의원은 이미 다른 의원들과 관련 법안을 논의하고 있다고 밝혔다.
와이든 의원은 캐나다산 제품에 대한 관세 폐지에 압도적인 지지가 있다고 강조했다.
그는 관세 철회 법안이 트럼프 대통령의 거부권 행사를 막거나, 거부권을 무력화할 만큼 초당적 지지를 얻을 수 있다고 내다봤다.
대통령 거부권을 무력화하려면 하원과 상원 모두에서 3분의 2 이상의 찬성이 필요하다.
와이든 의원은 의회가 대통령의 일방적이고 자의적인 관세 부과 권한을 회수해야 한다고도 주장했다.
이번 움직임은 관세 정책의 주도권을 둘러싼 의회와 백악관 간 공방이 본격화될 수 있음을 보여준다.
'관세 권한을 둘러싼 의회의 …
[AIDC] AIDC 건설, 미국에서 아시아로 확산될 가능성에 주목
작성: 참교육리서치(t.me/chams_research)
미국과 유럽의 AIDC 건설 제약이 부각되는 가운데, 국내 AIDC 산업은 이제 메가프로젝트가 본격적으로 시작되는 초기 국면임. 개인적으로는 해외의 규제와 전력 문제가 국내 AIDC 산업에 어떤 기회로 연결될지 봐야 하는 시점이라고 생각.
1️⃣ 미국·유럽의 건설 제약, 한국에는 기회가 될까?
▪️미국은 중간선거에서 민주당이 상·하원을 모두 장악하면서 AIDC 건설 규제에 대한 우려로 투자심리가 악화되고 있는 상황.
▪️유럽도 전력 확보가 쉽지 않음. 최근 MS와 영국 스타트업 엔스케일이 전력 공급 제약을 이유로 데이터센터 계획을 철회한 사례처럼, 전력 수급 문제가 AIDC 구축의 걸림돌이 되고 있음.
▪️반면…
Showing the 12 most recent of 233 posts we hold for @ym_research. 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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 2 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
선진짱 주식공부방 @sunstudy1111 · 55,188 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 2 September 2026
HS아카데미 대표 이효석 @HS_academy · 36,220 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 8 September 2026
Buff @bufkr · 21,585 Telegram ranks this channel #12 of 89 here — alongside 88 others — read 21 September 2026
재야의 고수들 @gaoshoukorea · 41,200 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 2 September 2026
Rafiki research @rafikiresearch · 20,654 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 26 September 2026
제약/바이오/미용 원리버 Oneriver @pharmbiohana · 29,759 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 7 September 2026
AWAKE - 52주 신고가 모니터링 @awake_realtimeCheck · 22,874 Telegram ranks this channel #19 of 92 here — alongside 91 others — read 20 September 2026
도PB의 생존투자 @survival_DoPB · 22,062 Telegram ranks this channel #21 of 90 here — alongside 89 others — read 21 September 2026
허혜민의 제약/바이오 소식통 @huhpharm · 24,265 Telegram ranks this channel #22 of 93 here — alongside 92 others — read 16 September 2026
조기주식회 공부방 @EarlyStock1 · 24,379 Telegram ranks this channel #28 of 91 here — alongside 90 others — read 16 September 2026
선수촌 @athletes_village · 22,138 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 23 September 2026
키움증권 미국주식 톡톡 @kwusa · 36,213 Telegram ranks this channel #30 of 92 here — alongside 91 others — read 2 September 2026
유진투자증권 코스닥벤처팀 @SmallCap · 22,994 Telegram ranks this channel #36 of 96 here — alongside 95 others — read 19 September 2026
시장 이야기 by 제이슨 @bumgore · 35,370 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 2 September 2026
실시간 주식 뉴스 @realtime_stock_news · 36,964 Telegram ranks this channel #39 of 93 here — alongside 92 others — read 2 September 2026
여의도스토리 Ver2.0-习近平是个狗东西 @YeouidoStory2 · 57,966 Telegram ranks this channel #41 of 92 here — alongside 91 others — read 2 September 2026
간절한 투자스터디카페 @desperatestudycafe · 18,510 Telegram ranks this channel #44 of 83 here — alongside 82 others — read 5 October 2026
신영증권 박소연 @sypark_strategy · 29,259 Telegram ranks this channel #48 of 91 here — alongside 90 others — read 8 September 2026
AWAKE - 실시간 주식 공시 정리채널 @darthacking · 65,571 Telegram ranks this channel #48 of 91 here — alongside 90 others — read 2 September 2026
피카츄 아저씨⚡️ @pikachu_aje · 24,923 Telegram ranks this channel #49 of 91 here — alongside 90 others — read 14 September 2026
이지스스트레티지 리서치 @jeilstock · 26,244 Telegram ranks this channel #50 of 93 here — alongside 92 others — read 12 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,313 Telegram ranks this channel #50 of 87 here — alongside 86 others — read 10 September 2026
[메리츠 Tech 김선우, 양승수, 김동관] @merITz_tech · 24,795 Telegram ranks this channel #51 of 92 here — alongside 91 others — read 17 September 2026
타점 읽어주는 여자(타자) @tazastock · 40,945 Telegram ranks this channel #55 of 89 here — alongside 88 others — read 2 September 2026
This channel appears in 42 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“YM리서치” (@ym_research), 39,821 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ym_research.
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.