. https://www.mt.co.kr/estate/2026/09/03/2026090315445836314
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Channel
@cyber_rangers
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
16,973subscribers
-47 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001759493167 |
|---|---|
| Type | Channel |
| Username | @cyber_rangers |
| Created | 24 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/cyber_rangers |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 20:01 | 16,973 | -1 |
| 15 Sept 2026, 19:59 | 16,974 | +1 |
| 14 Sept 2026, 03:59 | 16,973 | -5 |
| 12 Sept 2026, 13:00 | 16,978 | -6 |
| 10 Sept 2026, 10:16 | 16,984 | -14 |
| 7 Sept 2026, 06:57 | 16,998 | -12 |
| 4 Sept 2026, 13:18 | 17,010 | +11 |
| 2 Sept 2026, 21:19 | 16,999 | +2 |
| 1 Sept 2026, 20:05 | 16,997 | -9 |
| 31 Aug 2026, 21:25 | 17,006 | -10 |
| 30 Aug 2026, 21:56 | 17,016 | -8 |
| 29 Aug 2026, 22:22 | 17,024 | +1 |
| 29 Aug 2026, 00:17 | 17,023 | +3 |
| 28 Aug 2026, 00:45 | 17,020 | -6 |
| 27 Aug 2026, 03:13 | 17,026 | -5 |
| 26 Aug 2026, 04:54 | 17,031 | -3 |
| 25 Aug 2026, 01:26 | 17,034 | -2 |
| 23 Aug 2026, 13:25 | 17,036 | -3 |
| 22 Aug 2026, 00:28 | 17,039 | -5 |
| 20 Aug 2026, 21:28 | 17,044 | first reading |
338 posts held, back to 6 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 57 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 338 (6 August 2026 – 3 September 2026) |
| Views total | 206,900 |
| Reactions total | 863 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:32 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.
Measured directly from 1 video 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.
3,131 reactions across 338 posts, in 8 distinct kinds. The most used accounts for 30.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 956 | 30.5% | |
| 👏 | 828 | 26.4% | |
| ❤ | 776 | 24.8% | |
| 💯 | 258 | 8.24% | |
| 😍 | 135 | 4.31% | |
| 😁 | 67 | 2.14% | |
| 🤗 | 57 | 1.82% | |
| 👌 | 54 | 1.72% |
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 338 of the 338 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 3,131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 338 most recent posts we hold, published 6 August 2026 to 3 September 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.
. https://www.mt.co.kr/estate/2026/09/03/2026090315445836314
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* 오후장 하락 이유를 찾다보니 엔캐리 청산 우려도 나오는데. 투자자나 기자나 성급하게 설명이 떨어지는 과거 네러티브를 자주 당겨오는것 같습니다. 속도의 문제인데, 과연 엔캐리 청산이라 부를만한 현상이 일어날 수 있을까요. 국내 수급이 약해지고. 자신감이 떨어진 탓. 시장은 서서히 바닥을 지속 높여갈 듯. #지수
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. https://n.news.naver.com/article/014/0005570454?sid=101 #아이엘
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. https://www.pinpointnews.co.kr/news/articleView.html?idxno=479580
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. ■ 9월 관심주로 소개 분석해주셨는데, 예상 영업이익률을 일반적인 제조업 기준으로 시나리오를 세워주신건 아쉽습니다. ✅ 현재 NDPR 톤당 2.5억 기준으로 미국 최저 가격제 등을 반영하면, 영업이익률은 30% 초반이 될 것으로 예상합니다. ✅ 또한 회사가 최근 IR중 드론 등의 수주 임박을 알리는 가운데, 이런 소규모 공급의 경우에는 이익률이 향후 전체 이익률의 두 배인 OPM이 반도체 HBM 이익률에 육박할 것으로 예상하고 있습니다. #제이에스링크
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. https://www.g-enews.com/view.php?ud=202609020838394680c8c1c064d_1
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. ✅ 국내 제약·바이오 시장으로 시선을 옮겨도 기회는 다양하다. 핵심 수혜주는 "알테오젠"이 꼽힌다. 암 백신의 핵심 파트너 약물이 키트루다인 만큼 백신 시장이 커질수록 키트루다의 처방량도 늘어날 수밖에 없기 때문이다. ✅ 글로벌 빅파마와의 협업 및 기술수출 가능성이 큰 기업으로는 <#올릭스>와 큐리언트가 언급됐다. 올릭스는 일라이릴리에 MASH 치료제 'OLX702A' 기술이전 후 하반기 임상 2상 진입을 앞두고 있으며, Dual siRNA 플랫폼 추 가 계약과 황반변성·비만 치료제 파이프라인의 빅파마 계약 추진 등 풍부한 기술이전 후보군을 갖췄다. 큐리언트는 세계적인 CDMO 기업 론자(Lonza) 와 CDK7 저해제를 활용한 이중 페이로드 ADC 전략을 공동 발표하는 등 플랫폼 공동 기술이전을 포함한 긴밀한 협력 성과가 기대된다. …
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. https://www.mk.co.kr/news/stock/12141948 #와이씨
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. ✅ 주가 부진과 달리 국내 바이오의 글로벌 사업 성과는 이어지고 있다. 올해 국내 제약·바이오 기업의 기술수출은 12건이다. 계약 규모가 공개된 10건의 총액은 약 17조원이다. 선급금을 공개한 6개 기업의 7건 계약에서는 5744억원이 유입됐다. 지난해 연간 선급금 총액의 약 1.8배다. ✅ 개별 기업 가운데 <에임드바이오>와 <올릭스>, <디앤디파마텍>은 글로벌 검증 여부가 향후 재평가의 핵심 변수로 꼽힌다. 에임드바이오는 전임상 단계에서 3건의 기술이전을 성사시켰고 바이오헤븐에 이전한 FGFR3 표적 ADC ‘AMB302’가 임상 1상에서 확정 부분반응과 용량제한독성 미발생을 확인했다. <#올릭스>는 RNA 간섭 플랫폼 ‘OASIS’를 기반으로 일라이 릴리와 9117억원 규모의 계약을 체결했으며, 해외 투자자로부터 총 1108억원을…
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. https://www.newsis.com/view/NISX20260901_0003771910
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. ■ 민간고용지수 둔화와 트럼프의 중동 사태에 시장 달래기 발언등이 나오면서 나스닥 테크주들은 반등에 나섰고, - 미 증시에서 섹터내 종목 상승세가 가장 큰 것으로는 <영구자석/희귀금속> 섹터가 눈이 띄는 하루였습니다. #제이에스링크 #LYNAS
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미국 바이오 지수 NBI 3일 연속 상승 중 MSD, 노바티스도 역사적 신고가 수준 근접 MSD는 지난 5월 할로자임 특허 승소 및 키트루다SC 빠른 성장, 모더나 mRNA 항암 백신 성공해 역사적 신고가 어제 알테오젠과 계약한 노바티스도 2025년 10월 Avidity 16.4조원 인수 발표 후 지속 상승해 역사적 신고가 후 다시 근접 중
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Showing the 12 most recent of 338 posts we hold for @cyber_rangers. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 33 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“상장기업 수사대 ☎️” (@cyber_rangers), 16,973 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/cyber_rangers.
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.