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Channel

유안타 News 라운지

@tRadarnewsdesk

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,796subscribers

-150 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001080519355
TypeChannel
Username@tRadarnewsdesk
Created9 March 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/tRadarnewsdesk

Topic

Crypto & trading — 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 69% 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 2 other registered channels. 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
@yuantaresearch/138843 Aug 2026, 23:26 UTC@tRadarnewsdesk/19094 · this entry3 Aug 2026, 23:26 UTC1.00under a minute
@yuantaresearch/138894 Aug 2026, 23:13 UTC@tRadarnewsdesk/19096 · this entry4 Aug 2026, 23:13 UTC1.00under a minute
@yuantaresearch/138905 Aug 2026, 23:37 UTC@tRadarnewsdesk/19100 · this entry5 Aug 2026, 23:37 UTC1.00under a minute
@yuantaresearch/138925 Aug 2026, 23:37 UTC@tRadarnewsdesk/19102 · this entry5 Aug 2026, 23:37 UTC1.00under a minute
@yuantaresearch/138935 Aug 2026, 23:37 UTC@tRadarnewsdesk/19103 · this entry5 Aug 2026, 23:37 UTC1.00under a minute
@yuantaresearch/138966 Aug 2026, 23:18 UTC@tRadarnewsdesk/19107 · this entry6 Aug 2026, 23:18 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@yuantaresearch12 (8/8 hand-verifiable sample passed)1.00under a minute@yuantaresearch (12–0)
@yuantais8 (8/8 hand-verifiable sample passed)1.00under a minute@yuantais (8–0)

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. 8 of the 19 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 20 comparable posts for this entry, running 3 August 2026 to 7 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 3, the earliest publisher we hold is @yuantaresearch. 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 2 other registered channels, 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.

Growth

9,7949,9469,8707 August 2026 — 9,946 subscribers7 August 2026 — 9,946 subscribers8 August 2026 — 9,944 subscribers11 August 2026 — 9,938 subscribers14 August 2026 — 9,933 subscribers17 August 2026 — 9,928 subscribers21 August 2026 — 9,925 subscribers24 August 2026 — 9,909 subscribers27 August 2026 — 9,905 subscribers30 August 2026 — 9,898 subscribers2 September 2026 — 9,896 subscribers6 September 2026 — 9,884 subscribers11 September 2026 — 9,873 subscribers15 September 2026 — 9,864 subscribers27 September 2026 — 9,847 subscribers5 October 2026 — 9,833 subscribers12 October 2026 — 9,830 subscribers18 October 2026 — 9,827 subscribers22 October 2026 — 9,821 subscribers24 October 2026 — 9,812 subscribers27 October 2026 — 9,806 subscribers30 October 2026 — 9,800 subscribers2 November 2026 — 9,794 subscribers6 November 2026 — 9,796 subscribers9,7967 August 20266 November 2026
24 measurements spanning 91 days, net -150. 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 9,771–9,969 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
6 Nov 2026, 05:479,796+2
2 Nov 2026, 18:079,794-6
30 Oct 2026, 23:289,800-6
27 Oct 2026, 14:299,806-6
24 Oct 2026, 16:379,812-9
22 Oct 2026, 03:209,821-6
18 Oct 2026, 11:589,827-3
12 Oct 2026, 11:009,830-3
5 Oct 2026, 09:379,833-14
27 Sept 2026, 01:569,847-17
15 Sept 2026, 10:399,864-9
11 Sept 2026, 12:189,873-11
6 Sept 2026, 16:019,884-12
2 Sept 2026, 15:339,896-2
30 Aug 2026, 17:069,898-7
27 Aug 2026, 14:129,905-4
24 Aug 2026, 21:429,909-16
21 Aug 2026, 07:089,925-3
17 Aug 2026, 23:039,928-5
14 Aug 2026, 17:469,933first reading

Engagement

154 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 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.39%
avg views ÷ 9,796 subscribers
Avg views / post
333
40 posts measured
Reaction rate
0.313%
reactions ÷ views · ER floor
Posts in window
40
of 154 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 10 of 40 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held154 (3 August 2026 – 6 November 2026)
Views total13,300
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 22:25 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
≈1,950
Links
≈14,500

Lifetime counters from Telegram’s own channel header, read 8 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

47 reactions across 38 posts, in 4 distinct kinds. The most used accounts for 91.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4391.5%
👍24.26%
👏12.13%
🤔12.13%

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 40 of the 154 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 154 most recent posts we hold, published 3 August 2026 to 6 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 40 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).

6 Nov 2026, 07:57 UTC404 viewsread 8 November 2026
Forwarded from @yuantais

[국내주식 마감시황] AI 우려에 아시아 주식시장 동반 급락 (11/6) KOSPI 5,060pt(-6.0%), KOSDAQ 644pt(-5.0%) 시황 : 외국인 투매와 강제매도 우려가 확대시킨 하락, 아직 확인되지 않은 이익 훼손 -금일 KOSPI와 KOSDAQ은 각각 6%, 5% 급락했습니다. 간밤 미국 나스닥(-5.5%)과 필라델피아 반도체지수(-12.3%) 급락의 영향으로 장 초반부터 매도세가 집중됐습니다. KOSPI는 개장 3분 만에 8.8% 급락하며 5,000pt를 하회했고, 1단계 서킷브레이커가 발동돼 20분간 거래가 중단됐습니다. 이후 양 시장에서 매도 사이드카까지 발동됐습니다. 장중 낙폭을 일부 회복했지만 반도체 대형주와 AI 인프라 전반의 약세가 지속되며 이틀 연속 대규모 투매가 나타났습니다. -가장 큰 부담은 외국…

6 Nov 2026, 00:31 UTC476 viewsread 8 November 2026
Forwarded from @yuantaisPhoto

Photo, posted without a caption

6 Nov 2026, 00:25 UTC478 views1 reactionsread 8 November 2026
Forwarded from @yuantais

🧿텍사스 주지사 당선인, 주민 보호 법률 마련 전까지 데이터센터 개발 관련 현행 추진 중단 필요. 머스크와 조건부 협력 가능 • 11월 5일 CNN 인터뷰에서 Gina Hinojosa 텍사스 주지사 당선인은 주민 보호 법률이 마련될 때까지 데이터센터와 관련해 현재 추진 중인 방식을 멈춰야 한다고 발언 • 선거 기간부터 데이터센터 자체보다 전력·용수 부담과 기업에 대한 과도한 세제 혜택을 문제 삼아 온 입장. 데이터센터 산업 자체를 반대하는 것은 아니라는 점도 강조 • 일론 머스크 및 그의 기업들과 강력한 협력 관계를 구축할 수 있지만, 협력은 텍사스 주정부가 정하는 조건에 따라 이뤄져야 한다고 언급 • 기존 공약은 주민 보호 법률 제정 전까지 신규 데이터센터 승인 중단. 앞선 현지 인터뷰에서도 신규 시설에 적용된다고 설명. 이번 발언을…

❤1

5 Nov 2026, 23:33 UTC385 viewsread 8 November 2026
Forwarded from @yuantais

[시황저격] 중간선거 이후 AI 사이클에 던지는 네 가지 질문 🧿유안타 [시황 이재원 (02-3770-5719)] ■ 목차 -예상된 Blue Wave보다 강했던 주정부의 판도 변화 -Blue Wave 이후: 금리, 유가 하락에도 불구 AI 인프라 전반 투매 -Q1. 민주당, 무엇을 실제로 바꿀 수 있는가? (재정확대 저지와 정책 입법은 다르다) -Q2. 데이터센터 규제 강화는 실제 투자 중단을 뜻하는가? -Q3. 빅테크는 이런 상황(데이터센터 지연)을 예상하지 못했는가? -Q4. 반도체 급락은 메모리 다운사이클의 시작인가? -그 외 AI 인프라에 대한 고민 (전력, 신재생) -결론: 아직 현실화되지 않은 최악의 투자 축소 시나리오를 반영 중 ■[Summary] Q1. 민주당, 무엇을 실제로 바꿀 수 있는가? :추가 감세와 재정확대는…

5 Nov 2026, 23:27 UTC281 viewsread 8 November 2026
Forwarded from @yuantais

🧿 유안타 AI 미국 주식시장 마감시황(11/6) [퀀트 신현용 (02-3770-3634)] [시황 이재원 (02-3770-5719)] ━━━━━━━━━━━━━━━ 🤖 AI 한줄평 중간선거 다음 날의 반등이 하루 만에 뒤집혔습니다. 데이터센터 투자 둔화 우려와 반도체 실적 실망이 겹치며 AI 성장주가 2020년 이후 최악의 하루를 맞았고, 투자자들은 국채와 방어주로 피신했습니다. ━━━━━━━━━━━━━━━ 🔥 [1] 오늘의 핵심 이슈 5가지 1️⃣ AI 성장주 붕괴, 나스닥 2025년 4월 이후 최악 • 반도체·AI 관련주 전방위 매도로 나스닥 -5.52%, S&P 500 -4.36%, 다우 -3.44% 마감 • S&P 500 시가총액 약 2.9조 달러 증발, 기술주 기준 2020년 팬데믹 이후 하루 최대 낙폭 기록 …

5 Nov 2026, 23:24 UTC187 viewsread 8 November 2026
Forwarded from @yuantaresearch

유안타 리서치센터 데일리 섹터 News & Comments(11/06)_5 ■ 금융 우도형(02-3770-5589) ▶️글로벌 기업 주가 - 상승: HSBC +4.0%, MUFG +2.6%, Swiss Re +2.0% - 하락: Goldman Sachs -6.4%, Morgan Stanley -5.9%, JPMorgan Chase -4.2% ▶️News & Data 한국금융지주, 3분기 순익 2823억..증권사 1위 자리 내줘 - link: https://buly.kr/2JrFpgs [이슈체크] 과징금은 국민은행이 더 큰데…‘리딩뱅크’ 뒤집히나 - link: https://buly.kr/8Iz1BQm iM증권 "내년 은행지주 이익 증가 둔화⋯ '은행 중심 방어력' 관건" - link: https://buly.kr/D3hTfSZ “…

5 Nov 2026, 23:24 UTC153 viewsread 8 November 2026
Forwarded from @yuantaresearch

유안타 리서치센터 데일리 섹터 News & Comments(11/06)_4 ■ 화장품/의료기기/유통 이승은(02-3770-5588) ▶️글로벌 화장품 기업 주가 - 상승: Shiseido +8.9%, KOSE +6.4%, Loreal +2.4% - 하락: YSG -9.3%, Estee Lauder -3.9%, Kering -0.6% ▶️글로벌 의료기기 기업 주가 - 상승: Fosun Pharma +1.7%, Sisram Medical +0.6%, Galderma +0.3% - 하락: Evolus -9.0%, Inmode -5.6%, AbbVie -2.2% ▶️글로벌 유통 기업 주가 - 상승: Aeon +7.5%, Seven&i Hodings +4.6% - 하락: Shopify -6.1%, Macy's -5.9%, Coupang -3.…

5 Nov 2026, 23:24 UTC132 viewsread 8 November 2026
Forwarded from @yuantaresearch

유안타 리서치센터 데일리 섹터 News & Comments(11/06)_3 ■ 운송/게임 최지운(02-3770-3640) ▶️글로벌 운송 기업 주가 - 상승: Air France +12.1%, Japan Airlines +8.0%, China Southern Airlines +4.8% - 하락: K line -7.4%, AP Moeller Maersk -6.0%, NYK -5.7% ▶️글로벌 게임 기업 주가 - 상승: Konami +10.9%, Playtika +9.0%, Bandai Namco +8.4% - 하락: HUUUGE -1.0%, CD Projekt -0.5%, 37 Interactive Entertainment -0.1% ▶️News & Data 대한항공, 美 USA투데이 '10베스트 어워즈' 3관왕…첫 동시 1위 - l…

5 Nov 2026, 23:24 UTC141 views1 reactionsread 8 November 2026
Forwarded from @yuantaresearch

유안타 리서치센터 데일리 섹터 News & Comments(11/06)_2 ■ 자동차/조선 김용민(02-3770-5606) ▶️글로벌 자동차 기업 주가 - 상승: Toyota +16.7%, Honda +8.0%, Mercedes-Benz +1.4% - 하락: Tesla -10.8%, GM -3.4%, NIO -3.0% ▶️글로벌 조선 기업 주가 - 하락: Mitsubishi Heavy -6.2%, Huntington Ingalls -4.8%, Yangzijiang Shipbuilding -3.1% ▶️News & Data HD현대중공업, 노란봉투법 8개월 만에 하청노조와 교섭 시작 - link: https://naver.me/F3EiXk90 한화오션, ABB와 손잡고 ‘부유식 데이터센터’ 핵심 기술 고도화 나선다 - link: ht…

❤1

5 Nov 2026, 23:23 UTC289 viewsread 8 November 2026
Forwarded from @yuantaresearch

유안타 리서치센터 데일리 섹터 News & Comments(11/06)_1 ■ 반도체 백길현(02-3770-5635) ▶️글로벌 반도체 기업 주가 - 하락: Micron -17.5%, Western Digital -17.4%, AMD -17.3% ▶️News & Data 삼성전자 D램 시장 점유율 '38%'…1위 수성 - link: https://buly.kr/A48b0GL 오라클, 텐센트와 9조원대 AI 반도체 임대계약 취소 - link: https://buly.kr/8eoX9lp SK Hynix leads HBM4 yield at 60%, expands DRAM supply - link: https://buly.kr/9tDq1RG Microsoft tightens oversight of neocloud data center p…

5 Nov 2026, 08:22 UTC459 views3 reactionsread 8 November 2026
Forwarded from @yuantais

[국내주식 마감시황] 시즌 종료일까 (11/5) 🧿유안타 [시황 이재원 (02-3770-5719)] KOSPI 5,383pt(-5.3%), KOSDAQ 678pt(-5.1%) 시황 : 데이터센터 투자 사이클이 시즌 종료됐다는 것을 가정하는 시장 -금일 KOSPI, KOSDAQ 각각 5.3%, 5.1% 하락하며 양지수 매도 사이드카 발동됐습니다. 텍사스 등 주요 지역의 데이터센터 규제 강화로 신규 설비투자 지연 우려가 부각되며 삼성전자(-6.9%), SK하이닉스(-8.7%) 등 반도체 대형주와 반도체 기판, 반도체 소부장, 광통신, 전력기기, 전선 등 AI 인프라 전반이 큰 폭 하락했습니다. 안타까운 점은 2차전지, ESS, 태양광과 같이 Blue Wave의 수혜주로 판단되는 테마들 조차 전일 급등 이후 차익실현 매물 출회됐다는 점입니…

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4 Nov 2026, 23:07 UTC478 views1 reactionsread 8 November 2026
Forwarded from @yuantais

🧿 유안타 AI 미국 주식시장 마감시황(11/5) [퀀트 신현용 (02-3770-3634)] [시황 이재원 (02-3770-5719)] ━━━━━━━━━━━━━━━ 🤖 AI 한줄평 민주당의 중간선거 압승이 분열 정부에 따른 정책 교착 기대를 자극하며 다우가 18개월래 최고의 하루를 연출했고, 이란 전쟁 조기 종식 기대에 유가는 8% 급락했습니다. 다만 AI 데이터센터·전력주는 역풍을 맞으며 안도 랠리 속 테마 차별화가 뚜렷했습니다. ━━━━━━━━━━━━━━━ 🔥 [1] 오늘의 핵심 이슈 5가지 1️⃣ 다우 18개월래 최고의 날, 광범위한 안도 랠리 • 중간선거 결과 확인 후 다우 +3.03%로 18개월 만에 최대 상승, S&P500 +1.58%, 나스닥 +1.44% 마감 • 애플(AAPL) +5.31%, 마이크로소프트(MS…

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Showing the 12 most recent of 154 posts we hold for @tRadarnewsdesk. 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

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

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

“유안타 News 라운지” (@tRadarnewsdesk), 9,796 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/tRadarnewsdesk.

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.