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Channel

[하나증권 해외채권] 허성우

@deandatbond

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,940subscribers

+760 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002084941123
TypeChannel
Username@deandatbond
Description선진국 및 신흥국 채권/경제 뉴스 소통 목적
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/deandatbond

Topic

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 60% 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. This entry also sits inside a group of 13 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Posted firstThenOverlapGap
@deandatbond/1814 · this entry5 Aug 2026, 22:25 UTC@HanaResearch/201445 Aug 2026, 22:25 UTC1.00under a minute
@HanaResearch/2073625 Oct 2026, 22:57 UTC@deandatbond/2068 · this entry25 Oct 2026, 22:57 UTC1.00under a minute
@HanaResearch/208311 Nov 2026, 23:13 UTC@deandatbond/2079 · this entry1 Nov 2026, 23:13 UTC1.00under a minute
@deandatbond/2096 · this entry4 Nov 2026, 23:56 UTC@HanaResearch/208764 Nov 2026, 23:56 UTC1.00under a minute
@deandatbond/2109 · this entry11 Nov 2026, 05:21 UTC@HanaResearch/2093011 Nov 2026, 05:21 UTC1.00under a minute
@hanabond/308525 Oct 2026, 22:56 UTC@deandatbond/2068 · this entry25 Oct 2026, 22:57 UTC1.00under a minute
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
ChannelMatching postsText overlapTypical gapPublished first
@HanaResearch5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (3–2)
@hanabond9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (5–4)

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 60 comparable posts for this entry, running 2 August 2026 to 12 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 13 channels, the one whose matching posts we hold earliest is @hanaallocation. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 13 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 13 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.

Growth

6,1806,9406,5606 August 2026 — 6,180 subscribers6 August 2026 — 6,180 subscribers9 August 2026 — 6,192 subscribers12 August 2026 — 6,199 subscribers16 August 2026 — 6,211 subscribers19 August 2026 — 6,215 subscribers22 August 2026 — 6,289 subscribers26 August 2026 — 6,333 subscribers29 August 2026 — 6,345 subscribers1 September 2026 — 6,368 subscribers5 September 2026 — 6,385 subscribers10 September 2026 — 6,399 subscribers14 September 2026 — 6,467 subscribers18 September 2026 — 6,571 subscribers28 September 2026 — 6,655 subscribers5 October 2026 — 6,685 subscribers12 October 2026 — 6,684 subscribers15 October 2026 — 6,705 subscribers18 October 2026 — 6,717 subscribers21 October 2026 — 6,742 subscribers24 October 2026 — 6,763 subscribers27 October 2026 — 6,797 subscribers30 October 2026 — 6,811 subscribers1 November 2026 — 6,818 subscribers5 November 2026 — 6,919 subscribers8 November 2026 — 6,921 subscribers12 November 2026 — 6,940 subscribers6 August 202612 November 2026
27 measurements spanning 98 days, net +760. 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 6,066–7,054 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
12 Nov 2026, 00:086,940+19
8 Nov 2026, 12:496,921+2
5 Nov 2026, 06:506,919+101
1 Nov 2026, 23:066,818+7
30 Oct 2026, 02:206,811+14
27 Oct 2026, 05:116,797+34
24 Oct 2026, 05:306,763+21
21 Oct 2026, 14:096,742+25
18 Oct 2026, 02:166,717+12
15 Oct 2026, 00:156,705+21
12 Oct 2026, 01:576,684-1
5 Oct 2026, 14:406,685+30
28 Sept 2026, 01:376,655+84
18 Sept 2026, 18:596,571+104
14 Sept 2026, 09:556,467+68
10 Sept 2026, 11:386,399+14
5 Sept 2026, 07:196,385+17
1 Sept 2026, 09:056,368+23
29 Aug 2026, 07:366,345+12
26 Aug 2026, 06:166,333first reading

Engagement

75 posts held, back to 2 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 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.7%
avg views ÷ 6,940 subscribers
Avg views / post
1,710
44 posts measured
Reaction rate
0.479%
reactions ÷ views · ER floor
Posts in window
45
of 75 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
WindowRolling 30 days · latest post in window 12 November 2026
Posts held75 (2 August 2026 – 12 November 2026)
Views total75,416
Reactions total361
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 19:28 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
≈1,410
Links
≈222

Lifetime counters from Telegram’s own channel header, read 14 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

503 reactions across 67 posts, in 4 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤30260.0%
👍19338.4%
👏61.19%
🔥20.398%

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 73 of the 75 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 542 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 75 most recent posts we hold, published 2 August 2026 to 12 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: 5 of 45 posts held from the last 30 days (11.1%) 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).

12 Nov 2026, 23:06 UTC≈1,610 views11 reactionsread 14 November 2026
Photo

어제 미국 단기물(2년)이 하루만에 15빕 넘게 오르면서 2/10년 금리차는 25bp까지 빠르게 축소 10월 CPI가 전월비 0.4%로 예상치를 상회한 데 이어, 월러 이사는 근원물가가 뜨거우면 12월 빅스텝도 검토해야 한다고 언급. 이후 12월 25bp 인상 확률은 95%까지 상승. 어제 해맥 총재는 인플레가 잘못된 방향으로 가고 있다며 기준금리를 긴축적인 수준까지 올려야 한다고 언급. 빅스텝에는 선을 그었지만 작게, 자주 올리는 방식을 선호한다고 언급. 참고로 해맥 총재는 7월과 10월 금리 동결에 반대한 인물 30년물 입찰 부진도 확인. 250억 달러 규모 입찰은 낙찰 금리 5.441%로 0.4bp 테일 기록. 응찰률은 2.36배로 6월 이후 최저였고, 해외 수요(간접 낙찰)은 평균을 하회했으며 PD 비중은 8월 이후 최대치 기록. …

❤10👍1

12 Nov 2026, 22:54 UTC848 views10 reactionsread 14 November 2026
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** 2027년 FOMC 일정 수정 발표 - 정책 결정 횟수가 8회에서 7회로 줄어듬. 9월 이후 다음 결정은 11월, 가을에 두 달 공백이 생김 - 12월 회의가 없어짐. 마지막 회의가 11월로 앞당겨지고, 다음 결정은 2028년 1월 말이라 약 10주의 공백이 생김 - 점도표(SEP) 발표 시점은 공지에 나오지 않았음. 통상 3,6,9,12월 회의에서 나왔는데, 12월 회의가 사라지면서 연말 점도표가 11월로 옮겨갈지 확인이 필요 회의 횟수가 줄면 한 번의 결정에 실리는 무게가 커지고, 회의 사이 지표와 연준 인사 발언에 시장이 더 민감하게 반응할 수 있음. 포워드 가이던스를 줄이겠다는 워시 의장의 기조와 맞물려, 결정 사이의 공백 기간에 금리 기대 변동성이 커질 가능성에 유의. 10월에는 금리 결정 X. 전략 회의로, 워시 체제의…

❤8👍2

12 Nov 2026, 14:10 UTC≈1,120 views18 reactionsread 14 November 2026
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이번 사임은 황 CEO의 외도 사실 인정과, 외국 정보기관이 그를 표적으로 삼았는지에 대한 이사회의 독립 조사가 이어진 직후에 나왔음 조사 결과가 나오기 전에 이사회직까지 내려놓은 만큼, 시장은 국가안보 관련 사안의 파장이 예상보다 클 가능성에 주목할 것. 엔비디아는 AI 투자 사이클의 상징이어서 '핵심 인물 리스크'가 현실화했다는 점이 이미 흔들리던 AI 투자심리와 반도체주에 추가 부담이 될 수 있음 다음 주 실적 발표에서는 숫자보다 경영 공백에 대한 대응, 대중 수출과 정부 관계에 미칠 영향에 관심이 쏠릴 전망. 위험회피가 확산되면 최근 이어진 미 국채 강세에도 우호적인 재료가 될 수 있음

❤15👍3

11 Nov 2026, 05:21 UTC≈3,250 views9 reactionsread 14 November 2026
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[2027년 해외채권 전망] 변동성 높은 내리막길 (T.3771-8037) [Part 1] 미국 채권시장 ▶ 경로: 연말~1분기 초 고점 확인 → 2분기까지 하향 안정 → 3분기 일시 반등 → 연말 재안정 ▶ 인상 종료가 확인되고 민주당 의회가 재정 확대에 제동을 걸 것. 분점정부 전환 후 금리 하락은 선거 3~4개월 뒤. 2월 말 부채한도 도달 후 재무부는 약 1.3조 달러 재원으로 8월까지 버틸 전망. TGA 소진과 티빌 순상환으로 유동성이 풀리며 채권 강세를 뒷받침할 것 ▶ 부채한도는 8월 X-date 직전 타결 예상. TGA 재건용 티빌 대량 발행과 8월 리펀딩 증액이 겹치는 시기. 장기물 기간프리미엄이 오르며 커브 스티프닝 예상. 다만 반등폭은 제한적일 것 ▶ 당장 듀레이션 확대를 서두를 필요 없음. 10년 5%대에서는 캐리…

❤5👍4

10 Nov 2026, 13:38 UTC≈1,370 views10 reactionsread 14 November 2026
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** 인상 확률 높아지며 베어 플래트닝

❤9👍1

10 Nov 2026, 13:36 UTC≈3,580 views9 reactionsread 14 November 2026

< 🇺🇸10월 CPI 예상치 상회> ** 작년 10월 데이터 부재로 전년비 데이터는 발표 안됨. 월러가 방금 언급한 근원 물가 +0.3% 현실화되면서 12월 빅스텝 우려 급증. 2년 9빕, 10년 8빕 급등 1️⃣Headline - 전년비 % 실제 발표 X / 예상 3.9 / 전월 3.7 - 전월비 % 실제 0.4 / 예상 0.3 / 전월 0.6 2️⃣Core - 전년비 % 실제 발표 X / 예상 2.8 / 전월 2.6 - 전월비 % 실제 0.3 / 예상 0.2 / 전월 0.3

❤7👍2

10 Nov 2026, 13:05 UTC≈1,230 views5 reactionsread 14 November 2026
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미 중간선거 이후: 문제는 그대로, 갈등은 더 커진다 달리오는 이번 선거가 부채, 부의 격차, 지정학 같은 미국의 구조적 문제를 바꾸지 못한다고 봄. 오히려 좌우 대립이 각 당의 내부 싸움으로 번지면서 정치적 갈등과 기능 장애가 커질 가능성이 높다고 판단 시장의 핵심 변수는 재정 일정. 12월 11일 임시예산 만료, 2027년 3월 부채한도 도달, 2027년 가을 재원 소진이 이어지면서 예산 싸움이 격렬해질 것으로 봄. X-date 인접 만기물의 지급 리스크와 한도 해소 이후의 대규모 발행 재개는 단기물 약세 요인으로 봄 다만 국면은 나눠 봐야 함. 부채한도 도달 후에는 티빌 공급이 줄어 대부분의 단기 구간이 오히려 강세를 보일 수 있음. 금리 상승 위험은 X-date 인접 만기물과 한도 해소 후 대규모 발행 재개 국면에 집중. 12월…

❤3👍1🔥1

10 Nov 2026, 12:38 UTC≈1,940 views9 reactionsread 14 November 2026

월러 이사: 12월 25bp 인상 지지, CPI가 뜨거우면 50bp도 가능 - 10월 동결을 지지한 이유는 인상 신호로 시장이 이미 긴축을 반영했기 때문. 중요한 것은 연속 인상이 아니라, 예고한 인상을 합리적인 기간 안에 실제로 단행하는 것 - 경기는 강함. 3분기 GDP는 3.4% 성장했고, 주가 상승에 따른 소비와 AI 관련 설비투자가 성장을 이끌어냄. 4분기에는 다소 둔화되겠지만 견조한 성장이 이어질 것 - 노동시장도 안정적. 6, 12개월 평균 증가폭(약 8만 명)은 실업률 손익분기점을 약간 웃돔. 다만 ’저채용·저해고‘ 구조 때문에 노동시장의 역동성이 떨어졌다고 우려. ”안정적인 것이 곧 건강한 것은 아니다“ - 장기 실업자와 청년층의 구직난이 커지고 있으며, 이는 장기적으로 생산성 둔화로 이어질 수 있음 - 물가는 9월 …

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8 Nov 2026, 22:17 UTC≈1,330 views8 reactionsread 14 November 2026

예측시장은 중도 진영이 분열되고 뚜렷한 대항마가 없는 상황에서 르펜이 수혜를 보는 구도를 반영하고 있음. 다만 베팅 시장의 확률이라는 점에 유의할 필요 르펜이 재정적자를 GDP의 3% 아래로 낮추겠다고 밝혀 프랑스 국채가 강세를 보인 적이 있지만, 실행 방안이 불분명하다는 지적. 대선이 가까워질수록 후보들의 재정 공약과 결선 구도(특히 르펜 대 멜랑숑 같은 양극단 대결 가능성)가 독일 대비 프랑스 국채 스프레드의 핵심 변수가 될 전망. 라가르드의 조기 퇴임으로 ECB 후임 인선도 내년 유럽 금리의 또 다른 변수

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8 Nov 2026, 22:16 UTC≈1,270 views7 reactionsread 14 November 2026
Photo

🇫🇷 [2027 프랑스 대선] 예측시장(폴리마켓·칼시)으로 본 4가지 포인트 🥇 마린 르펜, 확실한 선두 (45~47%): 항소심 판결로 2027년 출마 길이 다시 열렸고, 중도 진영이 분열된 것도 유리하게 작용하고 있음. 최근 여론조사에서도 1차 투표 지지율이 30%를 넘는 등 국민연합(RN)의 지지 기반이 탄탄함 🥈 다비드 리스나르, 2위로 부상 (15%): 칸 시장으로, 기존 중도우파의 대안인 친기업·경제적 자유주의 후보로 주목받고 있음. 예측시장의 상승세가 실제 여론조사 지지율보다 훨씬 강함 🥉 장뤼크 멜랑숑, 여전히 경쟁권 (14%): 호불호가 갈리는 인물이지만 충성도 높은 지지층과 좌파 진영의 분열 덕을 보고 있음. 결선 진출 가능성은 충분하지만, 비호감도가 높아 결선 승리는 훨씬 어려울 수 있음 크리스틴 라가르드, 변수로 …

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8 Nov 2026, 22:14 UTC960 views4 reactionsread 14 November 2026

엔비디아 이사회는 외국 정보기관이 젠슨 황 CEO를 표적으로 삼았는지 조사하고 있음 젠슨 황은 회사에 보낸 이메일에서 외도 사실을 인정하고 깊이 사과했으며, 자신의 행동에 모든 책임을 지겠다고 밝힘 https://www.bloomberg.com/news/articles/2026-11-08/read-the-memos-from-nvidia-s-board-and-ceo-jensen-huang

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Showing the 12 most recent of 75 posts we hold for @deandatbond. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“[하나증권 해외채권] 허성우” (@deandatbond), 6,940 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/deandatbond.

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.