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Channel

큐코노미

@kyuconomy

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

478subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001566676367
TypeChannel
Username@kyuconomy
Created4 August 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/kyuconomy

Growth

478481479.57 August 2026 — 481 subscribers8 August 2026 — 481 subscribers15 August 2026 — 478 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -3. 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 478–481 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 14:18478-3
8 Aug 2026, 04:33481no change
7 Aug 2026, 15:30481first reading

Engagement

20 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.6%
avg views ÷ 478 subscribers
Avg views / post
89.1
7 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
8
of 20 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 3 August 2026
Posts held20 (10 June 20263 August 2026)
Views total624
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:33 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.

Recent posts

3 Aug 2026, 10:00 UTC86 viewsread 8 August 2026
Photo

일반 ISA는 이러면 누가 하지? 연간한도 이월불가에 투자기한도 5년까지밖에 연장안되는데...기존것이 꿀통이었네

27 Jul 2026, 05:37 UTC117 viewsread 8 August 2026

https://www.ajunews.com/view/20260727090438594 배터리는 아직 첨단 기술보다는 공정과 단가입니다

21 Jul 2026, 00:57 UTCviews —

큐코노미 pinned «기본적으로 모멘텀 투자자는 시간에 대한 기회비용을 높이 사는 대신 가격에 대한 기회비용은 작게 보는 것이고, 가치 투자자는 가격에 대한 기회비용을 높이 사는 대신 시간에 대한 기회비용은 작게 보는 것이다. 따라서 당신이 가치 투자자를 지향한다면 제일 먼저 익숙해져야 하는 것은 기다림과 인내인데, 쏠림과 군중심리는 기다리는 시간을 괴롭게 만들어 결국 참지 못하고 포지션을 정리하게 만드는 적이다. 그럼 이러한 쏠림과 군중심리를 피할 수 있는 좋은 방법은 무엇일까?…»

21 Jul 2026, 00:56 UTC90 viewsread 8 August 2026

기본적으로 모멘텀 투자자는 시간에 대한 기회비용을 높이 사는 대신 가격에 대한 기회비용은 작게 보는 것이고, 가치 투자자는 가격에 대한 기회비용을 높이 사는 대신 시간에 대한 기회비용은 작게 보는 것이다. 따라서 당신이 가치 투자자를 지향한다면 제일 먼저 익숙해져야 하는 것은 기다림과 인내인데, 쏠림과 군중심리는 기다리는 시간을 괴롭게 만들어 결국 참지 못하고 포지션을 정리하게 만드는 적이다. 그럼 이러한 쏠림과 군중심리를 피할 수 있는 좋은 방법은 무엇일까? 당연히 아는 것에만 투자하고 투자한 이후에도 끊임없이 공부하고 조사하며 노력하는 것이다. 그 외에 또 다른 것이 있다면? 바로 몰려 다니지 않는 것이다. ​ 대부분의 개인투자자들은 기관투자자들에 비해 정보의 열위에 있다는 강박관념때문인지 같은 종목을 보유하고 있거나 관심이 있는 사람들을

21 Jul 2026, 00:00 UTC55 viewsread 8 August 2026

과연 토큰 생산은 GDP를 늘리는가? 이 질문은 AI산업의 미래와 반도체 기업의 높은 주가가 정당화될 수 있는지와도 직결된다. 젠슨 황의 논리는 일견 명확해 보인다. AI산업은 토큰을 중심으로 움직인다. 챗GPT에 질문하면 AI는 이를 토큰 단위로 처리하고, 답변 역시 토큰 단위로 생성한다. 토큰이 많아질수록 더 많은 연산이 필요하고 더 많은 반도체가 사용된다. 최근 AI 코딩 도구와 AI 에이전트 활용이 늘어나면서 토큰 사용량도 크게 증가하고 있다. 엔비디아 입장에서는 토큰 생산이 늘어날수록 매출도, 이윤도 늘어난다. 그래서 그는 토큰을 새로운 경제활동의 단위로 본다. 하지만 경제학은 한 가지 의문을 제기한다. 철강과 전력 생산이 늘어난다고 해서 곧바로 GDP가 증가하는 것은 아니다. 철강은 자동차와 건물 생산으로 이어져야 하고, 전력은

14 Jul 2026, 08:05 UTC64 viewsread 8 August 2026
Forwarded from @songjongsik

하이닉스 400만원 간다고 대출땡기고, 전재산 풀배팅하고 빤스까지 팔아서 매수하라고 했던 유튜버, 하이닉스 급락하자 부산에서 구독자에게 흉기 피습.

14 Jul 2026, 07:46 UTC≈5,770 viewsread 8 August 2026

https://www.youtube.com/watch?v=tpZ3WWyEY3o 1:09:17 주주가 이익에 대한 소유권을 가진다고 말씀하셨는데, 주주가 배당을 받을때 주주총회의 결의를 거쳐라라는 규정이지 이익에 대한 권리가 있는게 아니다? ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ

12 Jul 2026, 16:40 UTC96 viewsread 8 August 2026
Forwarded from @todaystudynote

https://blog.naver.com/foreconomy/224344439009?fromRss=true&trackingCode=rss

Showing the 12 most recent of 20 posts we hold for @kyuconomy. 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.

Citation-graph rank

Citation-graph rank — 944,770 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

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

“큐코노미” (@kyuconomy), 478 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kyuconomy.

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.