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 11 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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 word for word 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 (2 of the pairs behind the counts below)
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 27 comparable posts for this entry, running 5 August 2026 to 6 August 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).
Across the whole group of 2, the earliest publisher we hold is @sk_smallcap. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
26 measurements spanning 90 days, net +977. 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 8,536–9,807 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
3 Nov 2026, 22:49
9,660
+2
1 Nov 2026, 04:19
9,658
+9
29 Oct 2026, 04:28
9,649
+9
26 Oct 2026, 09:36
9,640
+1
23 Oct 2026, 14:10
9,639
+12
20 Oct 2026, 14:18
9,627
+4
17 Oct 2026, 15:45
9,623
-1
14 Oct 2026, 22:31
9,624
+4
11 Oct 2026, 19:39
9,620
+5
5 Oct 2026, 02:40
9,615
+42
26 Sept 2026, 13:22
9,573
+75
17 Sept 2026, 13:17
9,498
+99
13 Sept 2026, 16:17
9,399
+61
10 Sept 2026, 07:00
9,338
+13
5 Sept 2026, 10:38
9,325
+15
1 Sept 2026, 03:48
9,310
+40
29 Aug 2026, 02:13
9,270
-4
25 Aug 2026, 19:47
9,274
+69
23 Aug 2026, 00:42
9,205
+76
19 Aug 2026, 03:44
9,129
first reading
Engagement
140 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.83%
avg views ÷ 9,660 subscribers
Avg views / post
756
34 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
34
of 140 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 4 November 2026
Posts held
140 (5 August 2026 – 4 November 2026)
Views total
25,707
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 21:35 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
≈1,770
Links
≈7,740
Lifetime counters from Telegram’s own channel header, read 5 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 34 posts held from the last 30 days (8.82%) 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).
[SK증권 ESG/통신서비스/지주 최관순]
([email protected]/3773-8812)
▶️ LG헬로비전(A037560) 중립/1,400원
수익성 개선 지연
3Q26 Review: 사업재편 영향으로 매출 감소
LG헬로비전 3Q26 실적은 영업수익 2,262억원(-24.2% 이하 YoY), 영업이익 2억원(-97.5%, OPM: 0.1%)이다. 방송매출이 전기 대비 소폭(+1.4%) 증가했으나, 수익성 중심의 사업 포트폴리오 재편으로 렌탈(-59.4%), 지역기반사업(-68.1%) 등의 매출이 감소하면서 부진한 실적을 기록했다. 매출 감소에도 불구하고 고정비 부담으로 인해 영업이익도 크게 부진했다. 4분기에도 사업재편이 지속되고 희망퇴직으로 인해 영업적자가 예상되어 실적개선 시기는 지연될 것으로 보인다.
본업에서 턴어라운드 필요…
[SK증권 인터넷/게임] Analyst 남효지
([email protected]/3773-9288)
▶️카카오게임즈(A293490) 중립/13,000원
신작의 온기와 밸류 부담의 사이
- 3Q26 Review: 영업손실 263억원 기록. 신작 출시 부재+기존작 매출 감소 영향
- 4분기는 <도깨비의 세계> 흥행과 미투온 연결 편입으로 영업 적자 축소. 1분기부터 <오딘Q> 출시가 더해지며 영업 흑자 구간 진입
- 1분기 <오딘Q>, 2분기 <도깨비의 세계> 글로벌 및 스팀 출시 예정되어 있어 업종 내 단기 신작 모멘텀은 높은 편이나 밸류에이션 부담 떨치기 어려움
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
▶️ 보고서 원문 : https://buly.kr/FsLb1kZ
▶️ SK증권…
[SK증권 엔터] Analyst 박준형
([email protected]/3773-8589)
▶️에스엠(A041510) 매수/120,000원
따뜻한 봄날이 오길 기다리며
Signal: MD판매 호조와 라이선싱 매출 추가 인식으로 시장 기대치 부합
Key: SMTR25 초기 흥행에 따른 리스크 해소에 주목
Step: 투자의견 매수, 목표주가 12만원 유지
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
▶️ 보고서 원문 : https://buly.kr/DaRkH2s
▶️ SK증권 리서치센터 텔레그램 채널 : https://t.me/sksresearch
Analyst 나민식 , CFA ([email protected]/02-3773-9503)
▶️산일전기(062040) 매수/280,000원
환율에 가려 수주를 잊지 말자
보고서 원문 : https://buly.kr/3YGYMDF
SK증권 리서치 텔레그램 채널 : https://t.me/sksresearch
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
[SK증권 미래산업/미드스몰캡] Analyst 허선재/02-3773-8197
▶️오스테오닉 (226400/KQ) / 매수(유지) / TP 7,000원 (하향, Upside 73%)
★본업 성장 지속 + 수술로봇 신사업
[미국 척추수술 로봇 폭스아이즈 인수]
- 11/4 미국 척추수술 로봇 개발사 폭스아이즈(FoxEyes) 지분 51% 인수 발표
- 인수 기대효과는 ①로봇 도입 병원향 동사 스파인 제품 교차판매 ②수술로봇 업체로서의 멀티플 리레이팅(중장기 골절·미용 수술 로봇 확장 계획)
- 주력 제품 ‘F1 VSR’은 비전 카메라 기반 추적 기술로 수술 준비 절차 간소화(회사 측 테스트 기준 수술시간 약 77% 단축). 대당 85만달러로 기존 제품 대비 약 30% 저렴해 중소형 병원·ASC까지 고객군 확대 가능. 향후 일정은 4Q26 F…
SK증권 아침에 슥_2026.11.05
미국 - 중간선거 불확실성 해소에 상승 마감
ㆍ 유가·금리 급락 속 빅테크·신재생에너지 강세, AI 인프라·반도체 약세
유럽 - 美 관세 압박 완화 기대에 상승 마감
ㆍ 은행·친환경 에너지 강세, 반도체 약세
중국 - 인민은행 부양 조치 강화에 상승 마감
ㆍ 증시 안정 대책 연이은 발표 속 AI·반도체주 강세
국내 - 美 중간선거 부양 조치 강화에 상승 마감
ㆍ 외국인 순매도도에도 기관 매수세 유입, 2차전지·신재생에너지 강세
보고서 원문: https://buly.kr/5fFe7pU
SK증권 리서치 텔레그램 채널: https://t.me/sksresearch
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
[SK증권 ESG/통신서비스/지주 최관순]
([email protected]/3773-8812)
▶️ SK텔레콤(A017670) 매수/120,000원
성장스토리에 실적 더하기
3Q26 Review: 기대치에 부합
SK텔레콤 3Q26 실적은 매출 4.5조원(+13.1% 이하 YoY), 영업이익 5,523(1,040.3%, OPM: 12.3%)이다. 지난해 고객감사 패키지에 따른 기저효과로 무선매출이 증가(+21.6%)하며 별도 영업이익이 흑자전환(4,135억원) 했다. 초고속인터넷과 기업사업 중심의 성장을 이어간 SK브로드밴드 영업이익도 51.0% 증가하며 호실적을 기록했다. AI DC와 AI B2B/B2C 매출은 각각 1,261억원(+6.2%), 700억원(+27.3%)을 기록하며 견조한 성장을 확인했다. 26년 연간 예상 매출은 17.…
[SK증권 신윤정][매크로 COMMEN] VETO의 시대, 정책의 속도와 투자의 비용
블루웨이브, 정책 전환보다 신규 정책의 제약에 무게
11 월 3일 미국 중간선거에서 민주당이 상·하원 다수당을 모두 탈환했다. 생활비 부담과 이란 전쟁에 대한 불만이 선거에 영향을 미친 것으로 분석된다. 다만 민주당의 양원 장악이 트럼프 행정부의 정책 전환으로 직결되기는 어려울 전망이다. 신규 입법과 예산에 대한 의회 견제력은 강화되지만, 대통령의 기존 행정권과 거부권은 유지되기 때문이다. 대표적인 사례는 2006 년 중간선거 이후 민주당이 양원을 탈환했음에도 부시 대통령이 이라크 병력 증파를 추진한 것이다. 당시 민주당은 철군 시한을 포함한 전쟁예산안을 통과시켰지만 대통령의 거부권을 넘지 못했고, 결국 철군 시한을 제외한 수정안에 합의했다.
이번에도 정책…
[SK증권 ESG/통신서비스/지주 최관순]
([email protected]/3773-8812)
▶️ SK증권 Global Carbon Market Daily_1105
NEWS
美민주 압승 '이란전 종식' 기대에 국제유가 폭락…WTI 8.29%↓
https://buly.kr/1xOjKc
시민·노동계 COP31 참가단..."온실가스 감축목표 높여라" 정부에 촉구
https://buly.kr/2fglRZW
에너지공단, 국내 기업 해외 탄소감축사업 진출 지원…탄소시장 공략
https://buly.kr/6ikC0Kx
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
▶️ 보고서 원문: https://buly.kr/7x9Us3L
▶️ SK증권 리서치 텔레그램 채널 : https://t.me/s…
[SK증권 엔터] Analyst 박준형
([email protected]/3773-8589)
▶️하이브(A352820) 매수/290,000원
실적도 불타오르네
Signal: BTS 월드투어와 저연차 성장 가시화에 따른 역대 최대 분기 실적 달성
Key: 주요 IP 투어 규모 확대와 북미 MD 수요 증가
Step: 투자의견 매수, 목표주가 29만원 유지
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
▶️ 보고서 원문 : https://buly.kr/1n6yC5g
▶️ SK증권 리서치센터 텔레그램 채널 : https://t.me/sksresearch
[SK증권 금융 장영임]
([email protected]/02-3773-8424)
▶️10월 거래대금은 부진하나, 주가는 상당 부분 반영
-10월 일평균 거래대금은 MoM +3.0% 증가. KRX+NXT는 감소했으나, ETF가 증가한 영향
-일평균 거래대금 감소세에 따른 증권업 투자심리 위축
-투자자예탁금 및 신용거래융자잔고도 감소. 투자자예탁금은 100조원 하회
-3분기 실적 부진 감안해도 밸류에이션 매력 높은 상황. 투자의견 OVERWEIGHT 유지
Cf) 3분기 실적에 대해서는 눈높이를 조금 더 낮춰야 함
(상세 내용은 원문 참고)
당사는 컴플라이언스 등록된 자료에 대해서만 제공 가능하며 본 자료는 컴플라이언스 등록된 자료입니다.
▶️ 보고서 원문 :https://buly.kr/9MTYMVq
▶️ SK증권 리서치센터 텔레그…
Showing the 12 most recent of 140 posts we hold for @sksresearch. 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 15 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.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“SK증권 Research” (@sksresearch), 9,660 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/sksresearch.
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.