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Channel

오렌지 선샤인 🍊☀️

@BREAM50

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

3,001subscribers

-17 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001170017847
TypeChannel
Username@BREAM50
Created21 March 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/BREAM50

Growth

3,0013,0183,009.56 August 2026 — 3,018 subscribers6 August 2026 — 3,018 subscribers9 August 2026 — 3,007 subscribers12 August 2026 — 3,001 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -17. 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 2,998–3,021 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:043,001-6
9 Aug 2026, 05:043,007-11
6 Aug 2026, 05:013,018no change
6 Aug 2026, 04:203,018first reading

Engagement

28 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 3,001 subscribers
Avg views / post
303
28 posts measured
Reaction rate
0.797%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 26 of 28 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 7 August 2026
Posts held28 (4 August 20267 August 2026)
Views total8,478
Reactions total64
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:11 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

47 reactions across 20 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 523100593155003029047100.0%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 26 of the 28 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 4 August 2026 to 7 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

7 Aug 2026, 06:49 UTC140 views2 reactionsread 8 August 2026

🟠 ₿ ETF (2026.08.06) 📈 순유입: +2,130 BTC (+1,958억 원) 📊 ETF 총 보유량: 124만 186 BTC (5.9 %)

custom 52310059315500302902

Signed ₿ ETF 🤖

7 Aug 2026, 06:14 UTC157 views1 reactionsread 8 August 2026

DAT 봇 (2026.08.07) 🏢Bitcoin Treasury Capital: 1.0 BTC 매수. 🍊홀 코이너: -1명 기업 보유량: 125만 7935 BTC (5.99%)

custom 52310059315500302901

Signed DAT Bot - ₿.R.E.A.M

7 Aug 2026, 05:14 UTC231 views1 reactionsread 8 August 2026

국가 별 비트코인 세금 🇦🇪 아랍에미리트(UAE): 0% 🇸🇬 싱가폴: 0% (일반 개인 투자자) 🇨🇭 스위스: 0% (일반 개인 투자자) 🇸🇻 엘살바도르: 0% 🇩🇪 독일: 0% (1년 이상 보유 시) 🇵🇹 포르투갈: 0% (1년 이상 보유 시) 🇺🇸 미국: 0~20% (1년 이상 보유 시 장기 자본이득세, 단기는 일반 소득세율) 🇬🇧 영국: 자본이득세 적용 (소득 및 차익 규모에 따라 세율 상이) 🇨🇦 캐나다: 양도차익의 50%를 과세소득으로 반영 🇦🇺 호주: 자본이득세 적용 (1년 이상 보유 시 50% 할인) 🇯🇵 일본: 최대 약 55% (현재) → 약 20%로 개편 추진 🇮🇳 인도: 30% 🇰🇷 한국: 22% + 보유 기간 별 세금 감면해서 장기투자 장려하는게 맞지.

custom 52310059315500302901

7 Aug 2026, 05:11 UTC190 views1 reactionsread 8 August 2026
Photo

🇹🇭 태국, 비트코인 및 암호화폐에 대한 자본 이득세 0%

custom 52310059315500302901

7 Aug 2026, 05:05 UTC173 views2 reactionsread 8 August 2026
Photo

비트코인 레드 팀, AI를 활용해 390개 오픈소스 비트코인 프로젝트 대규모 보안 감사 진행 27.5시간 만에 4,962건의 잠재적 문제를 발견했으며, 이 중 85건은 Critical(치명적), 635건은 High(높은 심각도) 오류. 비용은 단 2만 달러 사용.

custom 52310059315500302902

7 Aug 2026, 05:00 UTC175 views1 reactionsread 8 August 2026
Photo

: 🇺🇸 미국 상원, 9월로 클래리티 법안(Clarity Act) 표결 연기 + 사람들에게 필요한 '명확성(clarity)'은 이것뿐입니다.

custom 52310059315500302901

6 Aug 2026, 08:02 UTC204 views3 reactionsread 8 August 2026

🟠 ₿ ETF (2026.08.05) 📈 순유입: +3,810 BTC (+3,479억 원) 📊 ETF 총 보유량: 120만 2743 BTC (5.7 %)

custom 52310059315500302903

Signed ₿ ETF 🤖

6 Aug 2026, 07:47 UTC205 views2 reactionsread 8 August 2026

DAT 봇 (2026.08.06) 🏢Block, Inc.: 85.0 BTC 매수. 🏢Cipher Digital: 854.0 BTC 매도. 🍊홀 코이너: +769명 기업 보유량: 125만 7934 BTC (5.99%)

custom 52310059315500302902

Signed DAT Bot - ₿.R.E.A.M

6 Aug 2026, 04:36 UTC227 views3 reactionsread 8 August 2026
Photo

제 역발상적인 견해는 CLARITY 법안 통과가 실패할수록 오히려 비트코인에는 호재가 된다는 것입니다. CLARITY 법안이 계속 통과되지 않는다면 정치권이 완전히 기득권에 포획되어 있으며, 소비자의 이익보다 기관과 카르텔의 이익을 선택했다는 사실이 적나라하게 드러날 것입니다. 비트코인은 정부가 용인하는 화폐 가치 훼손(sanctioned debasement)과 조직적인 약탈로부터 벗어날 수 있는 최고의 탈출구입니다. + 사람들에게 필요한 '명확성(clarity)'은 이것뿐입니다. 우리는 지금 끝에 가까워지고 있습니다.

custom 52310059315500302903

6 Aug 2026, 04:17 UTC198 views3 reactionsread 8 August 2026

미국인들은 현재 의식주보다 세금에 더 많은 돈을 지출 중이다. 정부가 너무 크고 비대해지면서 세금이 삶의 기본 필수품이 되었다. 모든 미국 납세자는 분노해야한다. + 과거 부의 원천은 땅과 공장이었다. 이들의 공통점은 영토에 묶인 '고정 자산'이라는 점이다. 국가는 무력을 독점하고 도망갈 수 없는 이 자산들을 인질 삼아 세금을 징수했다. 이것이 중앙집권 국가가 권력을 유지해 온 근본 원리다. 국가는 총칼을 독점하고, 세금을 걷는다. 고정된 자산을 모두 점령하고 직접 관리하는 비용보다 폭력을 독점하고, 세금 수익을 얻는 것이 훨씬 가성비가 좋기 때문이다. 이처럼 폭력의 투자 수익률(ROI)이 높았기에 국가는 거대한 관료 조직을 유지할 수 있었다. 기술의 발전으로 부의 원천은 '물리적 자산'에서 '지능'과 '데이터'로 이동했다. 이제 부는

custom 52310059315500302903

6 Aug 2026, 04:09 UTC204 views1 reactionsread 8 August 2026
Photo

고래들은 비트코인 모으는 중. 새롭게 생성된 지갑이 OTC로 1540 BTC 매수.

custom 52310059315500302901

5 Aug 2026, 08:03 UTC237 views3 reactionsread 8 August 2026

🟠 ₿ ETF (2026.08.04) 📈 순유입: +3,330 BTC (+3,022억 원) 📊 ETF 총 보유량: 121만 2192 BTC (5.8 %)

custom 52310059315500302903

Signed ₿ ETF 🤖

Showing the 12 most recent of 28 posts we hold for @BREAM50. 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 — 254,264 of 1,160,990entries 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

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 3 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.

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.

“오렌지 선샤인 🍊☀️” (@BREAM50), 3,001 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/BREAM50.

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.