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그냥 김라브😸

@kim_rob

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

4,586subscribers

-13 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-1001258106237
TypeChannel
Username@kim_rob
Created20 August 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/kim_rob

Growth

4,5864,5994,592.57 August 2026 — 4,599 subscribers7 August 2026 — 4,598 subscribers10 August 2026 — 4,595 subscribers13 August 2026 — 4,591 subscribers16 August 2026 — 4,586 subscribers7 August 202616 August 2026
5 measurements spanning 10 days, net -13. 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 4,584–4,601 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 20:354,586-5
13 Aug 2026, 08:164,591-4
10 Aug 2026, 08:404,595-3
7 Aug 2026, 11:354,598-1
7 Aug 2026, 05:454,599first reading

Engagement

29 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.2%
avg views ÷ 4,586 subscribers
Avg views / post
650
29 posts measured
Reaction rate
0.361%
reactions ÷ views · ER floor
Posts in window
29
of 29 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 15 of 29 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 9 August 2026
Posts held29 (30 July 20269 August 2026)
Views total18,840
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 06:20 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.

Reaction mix

39 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 79.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3179.5%
👍717.9%
👏12.56%

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 15 of the 29 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 39reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 30 July 2026 to 9 August 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

9 Aug 2026, 04:15 UTC507 viewsread 12 August 2026

중국언론 인용은 팩트체크 안하고 막 퍼날라도 되는 건가?

9 Aug 2026, 04:15 UTC516 viewsread 12 August 2026
Photo

지난 6월에 나온 기사랑 내용이 똑같네? https://www.hankyung.com/article/2026061601701

9 Aug 2026, 04:14 UTC213 viewsread 12 August 2026
Forwarded from @HANAchina

>>SK하이닉스, 710억달러 규모 주주환원안 추진…40%는 자사주 매입 (중국언론 인용) •한국 매체, SK하이닉스가 총 100조원(약 710억달러) 규모의 사상 최대 주주환원 계획을 추진할 예정임. 이 가운데 자사주 매입에 약 40조원을 투입. 이는 전체 발행주식의 약 2%에 해당하는 규모로 미국에서 ADR을 발행하기 위해 신주를 추가 발행하는 규모와 거의 맞먹음. •회사는 동시에 3분기에 추가 주주환원 방안을 발표할 예정임. 강력한 HBM 수요와 실적 전망이 대규모 자사주 매입을 뒷받침하고 있음 >韩媒:SK海力士拟推710亿美元股东回报方案,40%用于回购股票,相当于美股发行规模 https://wallstreetcn.com/articles/3778998#from=ios

9 Aug 2026, 00:23 UTC415 viewsread 12 August 2026
Forwarded from @Onionfarmer

입추지났다고 바로 아침바람 선선한거 실환가

8 Aug 2026, 05:12 UTC714 views3 reactionsread 12 August 2026

본인이 투자 초고수가 아니라면 시총 1조 넘는 것만 건드리는게 상책

👍3

8 Aug 2026, 05:11 UTC487 views4 reactionsread 12 August 2026
Forwarded from @hedgehara

시총 3천억 안되는거 가져와서 썰풀면 아 저 새끼 내종목 사달라고 저러는구나 하시면 됩니다

4

8 Aug 2026, 05:11 UTC443 views3 reactionsread 12 August 2026
Forwarded from @newera1525_1680

대 세일즈 시대를 대비하여 1. 구독자 관리하기 2. 같이 밀어줄 친구 관리하기 3. 필력 늘리기(AI 잘 활용하기) 를 준비하시기 바랍니다

3

8 Aug 2026, 05:11 UTC415 views2 reactionsread 12 August 2026
Forwarded from @newera1525_1680

국장은 전닉이 정리되었기 때문에 머지않아 대세일즈 시대가 도래하지 않을까? 지수는 제자리 지키고 세일즈 종목만 펌핑 후 죽는 장세

2

8 Aug 2026, 02:24 UTC573 views2 reactionsread 12 August 2026
Forwarded from @Onionfarmer

목표주가 후행적 해석이라는거 욕할꺼 없음. 그건 국내나 해외나 똑같은 행위라서 그래서 본인이 투자에서 엣지를 내고 싶거나 지속가능한 시스템을 만들고 싶다면 레포트에 의존하는 행위를 최대한 지양해야함 레포트를 읽을 때는 그 레포트를 쓴 사람의 의견과 팩트를 구분할 줄 알아야하고, 팩트를 기반으로 '나만의 의견'을 제시할 수 있어야 리포트를 읽는게 의미가 있지, 무작정 레포트를 열심히 읽는 것은 솔직히 투입하는 시간과 노력 대비 실력으로 쌓이는 양은 거의 없음. 그리고 그러한 의견을 제시할 수 있으려면 이미 알고 있는게 많아야하고. 레포트를 읽는 것은 공부라고 할 수 없음.

👍2

7 Aug 2026, 03:58 UTC456 views2 reactionsread 12 August 2026
Forwarded from @hedgeharaPhoto

소프트뱅크. NAV 좋고 LTV 개선됬다 드립에 속지말 것. ARM은 시가평가라 반도체 꺾이면 사망이고. SVF 등은 사모라 평가를 지 맘대로 할텐데, OpenAI가 상장하고 락업풀리면 어떻게 될 지가 문제. LTV만 보면 건전해보이지만 OpenAI와 ARM이 Correl 높고 하이베타라는게 궁극적인 문제. 개인적으로 소뱅이 사고칠 가능성이 희소하지만 있긴 있다고 생각해서 일본 되게 예민하게 보고 있음. OpenAI 쩐주는 소뱅이고 돈 빌려준건 주로 미즈호

2

5 Aug 2026, 01:18 UTC609 views1 reactionsread 12 August 2026
Forwarded from @BRILLER_Research

[2Q26 에이피알 컨콜 요약] by BRILLER(t.me/BRILLER_Research) 매분기 최대 실적, 2Q26 분기 최초 7천억 돌파 북미와 유럽 해외 매출 고성장 신규 SKU판매 확대 미국 오프라인 유럽 온라인 확장 효과 화장퓸/뷰티 세자릿수 성장률 지속 ⭕️ 아마존 프라임데이 성과 미국 당사제품 11개가 Top100에 들었음 유럽에서도 영국, 프랑스, 스페인, 이탈리아, 독일 주요 5개 국에서 평균 7개이상이 Top100에 들었음 신제품 콜라겐 글로우 선크림 누적 40만개 돌파 ⭕️ 지역별 매출비중을 이번 분기부터 북미, 유럽, 아시아, 한국, 기타로 구별 (기존에는 국내, 미국, 기타, 일본, 중화권으로 표기하였음) 유럽을 추가하여 국가별 매출 비중을 더 잘 알 수 있게 변경 (투자자들을 위한 친절함 최고입니다!ㅎㅎ

👍1

Showing the 12 most recent of 29 posts we hold for @kim_rob. 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

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“그냥 김라브😸” (@kim_rob), 4,586 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/kim_rob.

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.