8 measurements spanning 7 days, net -31. 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 15,718–15,768 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 02:13
15,724
-1
12 Aug 2026, 05:35
15,725
-16
11 Aug 2026, 07:01
15,741
-10
10 Aug 2026, 06:11
15,751
-11
9 Aug 2026, 06:11
15,762
+5
8 Aug 2026, 08:57
15,757
+4
7 Aug 2026, 11:08
15,753
-2
6 Aug 2026, 12:05
15,755
first reading
Engagement
45 posts held, back to 31 July 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.0%
avg views ÷ 15,724 subscribers
Avg views / post
3,620
44 posts measured
Reaction rate
0.521%
reactions ÷ views · ER floor
Posts in window
45
of 45 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
45 (31 July 2026 – 12 August 2026)
Views total
159,385
Reactions total
831
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 01:15 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
831 reactions across 44 posts, in 9 distinct kinds. The most used accounts for 43.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
365
43.9%
👍
174
20.9%
😁
102
12.3%
😭
73
8.78%
👏
36
4.33%
💯
28
3.37%
👌
27
3.25%
🔥
17
2.05%
🫡
9
1.08%
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 44 of the 45 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 831reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 31 July 2026 to 12 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.
# 관세 업데이트: "USMCA 합의는 언제 되는걸까?" - 8월 13일
■ 글로브 앤 메일, 캐나다 당국이 USMCA 규정을 준수하는 차량에 낮은 관세율을 적용받는 조건으로 미국의 자동차 관세를 수용하는 방안을 검토 중이라고 보도
* 협상안에는 캐나다산 자동차에 포함된 미국산 부품 가치에 대해서는 기존과 같이 관세를 면제하는 내용도 포함
* 카니 캐나다 총리는 트럼프 대통령이 부과한 자동차·철강·알루미늄·임산물 관세를 낮추기 위한 협상 타결에 주력
* 양측은 트럼프 대통령이 추가 200억달러 규모의 캐나다산 수입품에 50% 관세를 부과하겠다고 예고한 시한인 8월 19일까지 합의 도출을 목표
■ JP모간, 지난해보다 낮아진 관세 충격과 미·이란 전쟁의 조기 종식 기대에 따른 유가 하락, 예상보다 낮은 임금 상승률이 맞물리며 미국…
# 7월 미국 CPI - "왜 유독 미국 물가만 우하향일까?"
▪︎ 컨센서스 모두 부합하며 표면적으로는 지난주 고용에 이어 매우 Dovish한 발표. 다만, MoM은 ↑, YoY는 ↓하며 아직 물가상승 불씨가 소멸되지는 않은 모습
▪︎ 7월 WTI 반등 속에서도 월 평균 유가 레벨은 지난 6월 대비 약 -5% 정도 밑도는 만큼, 에너지 가격 2개월 연속 하락은 어느정도 납득. 그러나 최근 유가 급등분이 7월 물가에 모두 반영된 것이 아닌만큼 향후 물가 향방에 대한 우려 요소
▪︎ 무엇보다 중요한건 중국을 제외한 EU, 일본, 인도 등 글로벌 주요국들의 물가 상승세와는 달리 (CPI의 절대 레벨을 차치하더라도) "왜 유독 미국만 빠지는 걸까?"에 대한 의구심은 여전... 그것도 실제로 현재 전쟁 중인 국가가... 🤫
👉 6~7월 미국 B…
# 20분 후 7월 물가, 한번 지켜보갔어 🐒
▪︎ 6월 유가 -20% 하락, 7월 +21% 상승
▪︎ 6월 평균 유가 $84, 7월 평균 $80로 심지어 6월달 평균가가 더 높았음에도 스티키 코어까지 무차별 급락
▪︎ 정말 미국의 Chinafication 인지 아닌지 함 지켜보갔어 🤫
# 8월 국내증시 현 위치 🇰🇷
▪︎ 작년 하반기 움직임(북동쪽 1분면)과는 대조적인 현재의 정체(서쪽 2분면)
▪︎ 국내 펀더먼털의 기저가 반영되기 시작했던 올 2월까지가 위 모델상 주식하기에 가장 우호적이었던 상황. 그 이후 3월 들어 이란전쟁 여파로 글로벌 센티먼트가 둔화되며 현재의 지지부진한 흐름을 촉발
▪︎ 결과론적으로 증시가 다시 가기(신고가?) 위해서는 국내 기업 실적의 추가 호재나, 글로벌 센티먼트를 회복시킬 수 있는 전쟁 이전 수준의 완전종전이 필요한데 그 개연성은 매우 낮거나 혹은 지금으로서는 미지수
👉 답답한 흐름 속 기로에 놓인 글로벌 주식시장 🙈
# 관세 업데이트: "미중회담을 앞두고 기싸움 지속" - 8월 12일
■ 중국 상무부, 미국·멕시코산 수입 피칸에 대한 반덤핑 조사 예비판정 결과를 발표하고, 보증금 형태의 임시 반덤핑 조치를 시행하기로 결정
* 중국 상무부, 미국·멕시코산 피칸의 덤핑이 존재하고 이로 인해 중국 피칸 산업이 실질적인 피해를 입었으며, 덤핑과 산업 피해 사이에도 인과관계가 있다고 잠정 판단했다 설명
* 미국산 피칸에는 일괄적으로 54.3%의 보증금이 부과되며, 멕시코산에는 기업별로 17.8~51.6%의 보증금 비율을 적용
* 다음 달 시진핑 중국 국가주석의 방미를 계기로 예정된 미·중 정상회담을 앞두고 양국이 잇따라 무역 제재에 나서며 협상 전 기싸움을 이어가는 모습
■ 사우스차이나모닝포스트, 중국이 브라질이 미국을 상대로 요청한 WTO 분쟁 해…
└└└ 헐... 모순덩어리 미국 🇺🇸
다들 알고 계셨나요!?
몇일 전 장 시작하자마자 친한 형님께서 보내주신 카톡 하나... "이녀석 게이였냐? 🤣
당시 저 또한 단순 풍자 또는 밈인줄 알았으나, 방금 전 다시 한번 문뜩 생각난 그때의 카톡과 과거 베센트 인터뷰 할때 "그녀"의 깨림직한 목소리에 대한 찜찜한 기억... 😳
그래서 GPT에 물어봤습니다... 진정 게이였네요... 🙊
모순덩어리 미국... 🙈
작년 2기 당선되자마자 "only 2 genders"를 미국의 공식 정책으로 공언할 땐 언제고, 가장 측근인 재무장관을 게이로... 🙊
뭐... 게이 자체가 잘못된 건 아니겠으나, 이미 2기 시작과 함께 인사 시즌 때부터 시작된 말과 행동이 다른 TACO... 🤣🤣🤣
└ 이것도 백번 천번 양보해 오만과의 진전이지, 직접적인 미국과의 협의가 아닙니다...🙈
저희만큼은 원숭이가 되면 안되겠습니다...🙈🙈
❤11😁7👍2🔥1
Signed 경훈 김
Showing the 12 most recent of 45 posts we hold for @toptownquant. 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 — 23,273 of 1,169,250entries 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.
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 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“[DAOL퀀트 김경훈] 탑다운 전략” (@toptownquant), 15,724 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/toptownquant.
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.