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🚀국내주식 @FastStockNews
🇺🇸미국주식 @FastStockNewsUSA
🪐코인 @FastBitNews
✅문의 @GoFirstClass
🤫제보 @FastJebo
Created
23 October 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
7 measurements spanning 6 days, net +14. 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 18,089–18,113 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:08
18,110
+4
11 Aug 2026, 23:12
18,106
+6
11 Aug 2026, 01:23
18,100
+3
9 Aug 2026, 22:12
18,097
+5
8 Aug 2026, 21:02
18,092
-6
7 Aug 2026, 19:00
18,098
+2
6 Aug 2026, 22:01
18,096
first reading
Engagement
34 posts held, back to 4 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
26.5%
avg views ÷ 18,110 subscribers
Avg views / post
4,810
31 posts measured
Reaction rate
0.575%
reactions ÷ views · ER floor
Posts in window
34
of 34 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 29 of 31 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
34 (4 August 2026 – 12 August 2026)
Views total
149,025
Reactions total
811
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 00:15 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.
What this channel posts
Photos
≈2,950
Videos
≈13
Links
≈14,600
Lifetime counters from Telegram’s own channel header, read 13 August 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
811 reactions across 29 posts, in 21 distinct kinds. The most used accounts for 26.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
211
26.0%
🔥
116
14.3%
🤓
73
9.00%
👍
60
7.40%
❤
57
7.03%
🤯
57
7.03%
😁
47
5.80%
🍌
44
5.43%
🤡
35
4.32%
💯
31
3.82%
👏
19
2.34%
😱
16
1.97%
🌚
8
0.986%
🌭
8
0.986%
🥱
8
0.986%
😭
7
0.863%
👻
5
0.617%
🤨
3
0.37%
🍾
2
0.247%
🎃
2
0.247%
1 further kind
2
0.247%
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 29 of the 34 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 811reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 4 August 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.
26년 8월 13일 목요일 부동산 주요뉴스
"세금 내느니 서울 집 비워두래요"…급증한 세무 상담 [시장톡]
https://n.news.naver.com/mnews/article/015/0005320327
'공사비 급등기' 넘긴 건설사들…영업익 30% '쑥'
https://n.news.naver.com/mnews/article/648/0000049782
"복잡한 건설 현장 한눈에"…매주 드론 띄워 시공오류 막는다
https://n.news.naver.com/mnews/article/008/0005399347
[오늘 부동산] 세입자 때문에 이주 밀리면 ‘소송’, 은마아파트 ‘초강수’
https://n.news.naver.com/mnews/article/119/0003121226
'완전한 행정수도 세종' 속도 내나…특별법 5건 연내 단일화…
26년 8월 12일 수요일 부동산 주요뉴스
압구정 아파트도 적용한다는데…신축 테라스 사고에 '발칵' [주간이집]
https://n.news.naver.com/mnews/article/015/0005319866
"스토킹 피해자 이사 못하나요"…종부세 비거주 페널티 논란
https://n.news.naver.com/mnews/article/417/0001155080
성수·마곡 대형오피스 공실률 하락…강남·분당 수요 분산
https://n.news.naver.com/mnews/article/003/0014121659
7월 서울 전·월세 포함 집세 1.7% 상승…4년 만에 최고
https://n.news.naver.com/mnews/article/003/0014121658
여의도·도심 웃고 강남 울었다…엇갈린 서울 오피스 시장
https:/…
26년 8월 10일 월요일 부동산 주요뉴스
[오늘 부동산] 주택 공급대책, 이르면 이달 13일 발표
https://n.news.naver.com/mnews/article/119/0003119996
HUG 부동산 PF 보증잔액 20조원 돌파…1년 반만에 2배로↑
https://n.news.naver.com/mnews/article/001/0016241468
[교통시대]'반값 모두의 카드' 9월까지? 연장?
https://n.news.naver.com/mnews/article/648/0000049657
이젠 평면도 아닌 3D로…도시계획시설 입체도면 공개된다
https://n.news.naver.com/mnews/article/018/0006348420
2기 노후계획도시정비특위 출범…대전 기본계획안 심의
https://n.news.nave…
26년 8월 9일 일요일 부동산 주요뉴스
'직거래 하실분' 늘더니...국민자격증 어쩌다가
https://n.news.naver.com/mnews/article/374/0000526349
"팔아? 말아?" 일단 버티는 집주인...매수자는 급매 노린다
https://n.news.naver.com/mnews/article/008/0005397312
세금 피하려 '집주인' 실입주…전월세 시장 더 얼어붙나[세제 개편, 그 이후③]
https://n.news.naver.com/mnews/article/003/0014115851
PF확대·규제완화로 '과감한 공급'…투기적 비거주 선별은 신중
https://n.news.naver.com/mnews/article/001/0016240390
'3채 vs 1채' 종부세 격차 확대…비거주는 시가 134억부…
26년 8월 8일 토요일 부동산 주요뉴스
"제가 살게 나가주세요" 이런 집주인 많아지나...전세난 커질 우려
https://n.news.naver.com/mnews/article/008/0005397213
‘성북구 국평 20억 시대’…래미안길음센터피스 가보니[랜선임장]
https://n.news.naver.com/mnews/article/018/0006347464
압구정현대, 직접 증여가 매각 후 현금 증여보다 세금 7억 덜 낸다…계산기 두드리는 강남 고령층
https://n.news.naver.com/mnews/article/366/0001185022
"전세 13억인데도 서울 1위"…세입자 몰리는 이유는 [집 나와라 뚝딱!]
https://n.news.naver.com/mnews/article/014/0005558783
용산어린이정…
👍6🤓3❤2
Showing the 12 most recent of 34 posts we hold for @FastLandNews. 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 — 149,284 of 1,151,006entries 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 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“부동산 급등일보🏠(청약,갭투자,꼬마빌딩,정책/동향)” (@FastLandNews), 18,110 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/FastLandNews.
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.