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 11 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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. 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 61 comparable posts for this entry, running 22 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 @lim_econ — which is this entry. That is a statement about our reading window, not a claim of authorship.
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.
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.
60 measurements spanning 96 days, net +640. 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 13,354–14,187 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 09:46
14,090
+11
9 Nov 2026, 00:49
14,079
-1
7 Nov 2026, 15:21
14,080
-4
6 Nov 2026, 13:58
14,084
-7
4 Nov 2026, 10:58
14,091
+4
3 Nov 2026, 12:51
14,087
+8
2 Nov 2026, 12:31
14,079
+2
1 Nov 2026, 12:17
14,077
+1
31 Oct 2026, 14:50
14,076
+1
30 Oct 2026, 12:06
14,075
+7
29 Oct 2026, 12:56
14,068
+6
28 Oct 2026, 14:48
14,062
+7
27 Oct 2026, 13:48
14,055
+18
26 Oct 2026, 11:46
14,037
+3
25 Oct 2026, 14:04
14,034
-6
24 Oct 2026, 10:26
14,040
+2
23 Oct 2026, 08:55
14,038
+21
22 Oct 2026, 06:46
14,017
+10
21 Oct 2026, 02:27
14,007
+8
20 Oct 2026, 01:29
13,999
first reading
Engagement
76 posts held, back to 22 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
73.6%
avg views ÷ 14,090 subscribers
Avg views / post
10,400
28 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
28
of 76 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 10 November 2026
Posts held
76 (22 July 2026 – 10 November 2026)
Views total
290,390
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:27 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
437
Links
91
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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 28 posts held from the last 30 days (14.3%) 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).
<오늘 개장전 꼭 알아야 할 5가지_11/11 Bloomberg>
① 미 10월 CPI 예상 상회
- 미국 10월 근원 CPI가 전월 대비 0.3% 오르고 헤드라인은 0.4% 상승해 예상 상회
- 근원 CPI의 최근 3개월 연율은 3.7%, 6개월은 2.7%. 식료품과 에너지와 임대료 제외 서비스는 각각 0.4% 상승
- 프린시펄자산운용은 인플레이션과의 싸움이 끝나지 않았다고 평가했고 핌코는 12월과 1월 연속 인상 가능성과 3월 추가 인상 위험 제시
② 연준 빅스텝 논쟁 가열
- 월러 연준 이사가 근원 CPI 0.3% 이상이면 12월 50bp 인상 검토가 필요하다고 밝혀 빅스텝 논쟁 부각
- 월러는 25bp 인상에 그치면 대응 의지 신뢰가 훼손될 수 있고 지난해의 보험성 인하를 되돌릴 필요가 있다고 주장했으며 보우먼도 12월 인상 지지 …
<오늘 개장전 꼭 알아야 할 5가지_11/10 Bloomberg>
① 트럼프의 완화 신호와 유가 급락
- 트럼프가 이란에 대한 대규모 공격 가능성이 매우 낮다고 밝히며 브렌트유가 장중 약 8퍼센트 급락. 배럴당 90.56달러로 8월 말 이후 최저
- 카타르 중재 아래 미국과 이란은 핵 문제와 제재 그리고 호르무즈 해협 조건을 조율 중
- TD증권은 확전 회피 신호가 유가 하방 압력이지만 구체적 합의가 나올 때까지 추가 하락은 제한적일 것으로 평가
② 연준 인사들의 매파적 톤 재부각
- 리치먼드 연은 바킨은 견조한 수요와 끈질긴 인플레이션을 근거로 추가 금리 인상 필요성을 시사하고 시카고 연은 굴스비는 AI 투자로 인한 전통적 과열을 경고
- 바킨은 기업 이익과 소비가 강하다고 하면서도 긴축 속도에는 신중해야 한다고 했고 굴스비는 에너지 가…
<오늘 개장전 꼭 알아야 할 5가지_11/9 Bloomberg>
① 미국 고용 서프라이즈와 연준 경로
- 미국 10월 비농업 고용이 16만5000명 증가하고 실업률이 4.1%로 하락
- 시간당 평균임금은 전월 대비 0.4% 올랐고 전년 대비 3.1%로 2021년 이후 최저 수준과 같았으며 앞선 두 달 수치는 상향
- TD증권은 고용이 전반적으로 강하다고 평가했고 메리 데일리 총재는 추가 인상 가능성을 거론
② 앤트로픽 IPO 밸류에이션 하향
- 앤트로픽 IPO 기업가치가 1.2조에서 1.3조달러로 논의되고 일부는 1.1조달러까지 거론
- 10월 초 최대 2조달러가 거론됐으나 민주당 의회 장악에 따른 규제 우려와 오픈AI의 1.25조달러 목표도 부담
- HSBC는 약 1조달러 수준이 상장 후 변동성을 줄일 수 있다고 봤고 모닝스타는 지연 비…
<오늘 개장전 꼭 알아야 할 5가지_11/6 Bloomberg>
① AI 투매와 연준 동결 베팅 확산
- AI 규제 우려 확산 속 나스닥 100지수가 6.4% 급락하고 필라델피아 반도체지수가 12% 하락
- 민주당 의회 장악에 따른 데이터센터 규제 가능성과 시스템 펀드의 대규모 매도에 테슬라와 스페이스X도 9% 넘게 하락
- 미국채 랠리 속 단기금리 옵션시장에서 12월 동결을 겨냥한 거래가 나타났고 10년물 금리 하락에 베팅하는 헤지 수요가 포착
② 달러-원 50일선 상향 돌파
- 미국 반도체주 급락 여파로 달러-원 환율이 전일 대비 거의 16원 오른 1356원 부근까지 상승하며 50일 이동평균선을 상향 돌파
- 코스피 급락과 외국인 대규모 순매도에도 서울장에선 수출업체 달러 매도로 상승폭이 제한됐지만 나스닥 급락 이후 NDF에서 원화 매…
<오늘 개장전 꼭 알아야 할 5가지_11/5 Bloomberg>
① 유가 급락과 이란전 종식 기대 확대
- 민주당 압승으로 이란 전쟁 조기 종식 기대가 커지며 브렌트유가 장중 10% 급락해 93달러로 2개월 만의 최저, WTI도 87달러대로 하락
- JD 밴스 부통령은 공화당 참패를 해외 전쟁 탓으로 돌렸고 슈머 민주당 원내대표는 전쟁 종식을 약속하며 공화당 일부 동참을 전망
- 삭소뱅크는 트럼프가 이란 이슈를 털어내길 바라는 베팅이 커지며 어떤 형태로든 합의 가능성이 높아졌다고 평가
② 관세 완화와 부채한도 타협 시나리오 부상
- 민주당이 상하원을 장악하며 관세 철회 표결과 USMCA 개정 압박이 추진되고 부채한도 미조치 시 2027년 말 디폴트 위험이 타협 동인이 될 가능성
- 트럼프 행정부는 캐나다와 재협상을 재개했고 참패 이후 관세…
<오늘 개장전 꼭 알아야 할 5가지_11/4 Bloomberg>
① 미·이란 긴장 속 외교 창구 유지
- 미국의 이란 제한적 공습 이후에도 양측이 중재안을 검토 중이며 카타르가 이틀 내 답변을 기대
- 트럼프는 소규모 공격으로 전쟁은 아니었다고 밝혔고 이란 의장은 공이 미국에 넘어갔다며 최고국가안보회의는 미국 답변이 만족스럽지 않다고 평가
- 외교 해법 기대가 이어지며 최근 급등했던 유가는 이번 주 들어 급락세로 전환
② UBS의 연말 랠리 시나리오
- UBS는 중간선거 이후 연말 랠리 가능성을 제시하며 1950년 이후 11월 S&P 500의 평균 상승률 1.9%를 근거로 제시
- 낮은 헤지펀드 순익스포저가 숏스퀴즈를 촉발할 수 있고 대형 기술주 실적은 기대만큼 안도감을 주지 못했다고 진단
- 민주당이 양원을 장악하면 금융주와 데이터센터 …
<오늘 개장전 꼭 알아야 할 5가지_11/3 Bloomberg>
① 미·이란 협상 기대와 유가 급락
- 이란 최고지도자가 평화협상 권한을 부여하고 미·이란 대화가 진행 중이라는 발언에 브렌트유 선물이 장중 12% 넘게 급락해 104달러 하회
- 이란은 미국이 조건을 수용하면 호르무즈 해협 재개방과 협상 재개에 나설 준비가 돼 있다고 했고 트럼프 대통령은 상황이 잘 풀리는 것처럼 보인다고 언급했으며 유럽 천연가스 선물도 한때 거의 11% 밀림
- TD증권은 공식 휴전과 해협 공격 중단이 없이는 유가의 위험 프리미엄이 완전히 사라지기 어렵다고 평가
② 빅테크의 대규모 채권 조달과 프리미엄 확대
- 메타가 최소 200억달러 투자등급 채권을 검토하고 알파벳이 60억유로 발행을 예고, 오라클은 보통주를 합쳐 200억달러 조달에 나서 AI 투자 재원…
<오늘 개장전 꼭 알아야 할 5가지_11/2 Bloomberg>
① 이란 긴장과 유가 리스크
- 이란 최고지도자가 위협에 지리적 제한 없이 대응을 지시하며 브렌트유가 장중 118달러를 터치해 유가 상방 위험 부각
- 미국은 공습 재개를 아직 결정하지 않았지만 미 중부사령부가 트럼프 대통령에게 군사 옵션을 보고
- 향후 유가 경로는 중동 외교적 돌파구와 호르무즈 해협 안정 여부에 좌우될 전망
② 기술주 실적 미스와 리레이팅
- 실적 미스에 대한 매도가 강화되며 커뮤니케이션 서비스 업종이 2019년 이후 최악의 타격을 받았고 AI 관련주의 이익 성장 정점 우려 확산
- 아마존이 실망스러운 실적에 급락하고 알파벳도 사상 최대 낙폭을 기록했으며 S&P 500 이익 증가율은 2분기 32%에서 약 26%로, 기술업종은 약 77%에서 3분기 65%로 …
<오늘 개장전 꼭 알아야 할 5가지_10/30 Bloomberg>
① 알파벳 AI 투자 부담 확대
- 알파벳이 1조달러가 넘는 구매 약정과 리스 외에 약 985억달러의 우발 약정을 공개하며 분기 대비 230억달러 증가
- 데이터센터 임대료 지급 보증과 파트너 전력 장비 구매 보증, 판매한 AI 칩 시스템 되사기 의무가 포함
- 구글 클라우드 수주잔고가 5139억달러에서 5608억달러로 늘었지만 증가분의 3분의 1 이상이 합작사 물량으로 매출 질에 대한 경계 확대
② 마이크로소프트 대규모 회사채 발행
- 마이크로소프트가 거의 10년 만의 대규모 회사채 발행에 한때 1150억달러 넘는 주문을 모았고 최소 250억달러 발행 예정
- 만기 2년에서 40년까지 최대 10개 트랜치로 구성되며 AAA 등급과 6%를 웃도는 장기 금리가 수요를 견인
- …
Showing the 12 most recent of 76 posts we hold for @lim_econ. 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 1 registered channel — 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“한화투자증권 경제 임혜윤” (@lim_econ), 14,090 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/lim_econ.
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.