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Channel

주식돋보기

@SeeBullReal

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

9,228subscribers

-19 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001104447749
TypeChannel
Username@SeeBullReal
Created19 April 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/SeeBullReal

Growth

9,2289,2479,237.56 August 2026 — 9,247 subscribers6 August 2026 — 9,247 subscribers7 August 2026 — 9,243 subscribers9 August 2026 — 9,239 subscribers13 August 2026 — 9,228 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net -19. 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 9,225–9,250 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:249,228-11
9 Aug 2026, 17:219,239-4
7 Aug 2026, 01:119,243-4
6 Aug 2026, 10:179,247no change
6 Aug 2026, 09:559,247first reading

Engagement

45 posts held, back to 31 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 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.3%
avg views ÷ 9,228 subscribers
Avg views / post
1,780
45 posts measured
Reaction rate
this channel exposes no reaction counts
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
WindowRolling 30 days · latest post in window 12 August 2026
Posts held45 (31 July 202612 August 2026)
Views total79,958
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 15:25 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

12 Aug 2026, 07:28 UTC758 viewsread 12 August 2026

SMR·양자·우주…정부, 7대 미래성장동력 '씨앗' 뿌린다 | 연합뉴스

12 Aug 2026, 06:05 UTC≈1,010 viewsread 12 August 2026

어제 나온 얘기지만 이번엔 아얘 주주환원 확대라고 노골적으로 표현

12 Aug 2026, 06:04 UTC≈1,010 viewsread 12 August 2026

Primary market for agency bonds also not good due to nix. It was said that nix decided to resuce bond investment for expansion of shareholder return. Sentiment in primary markets goes bad.

11 Aug 2026, 05:22 UTC≈1,330 viewsread 12 August 2026

*Dividiend paymenet to foreigners may be hidden obstacle for fx. Est amt of dividend payment to foreigners from 24 to 31 Aug: more than $1.39b. Out of em, SS has more than $892M of dividement payment to foreigners on 28 Aug. Shinhan holdings + LG affiliates have $1.13b dividend payment on 28 Aug as well.

11 Aug 2026, 02:39 UTC≈1,360 viewsread 12 August 2026

A headline about Nix is kinda shock to all bond players. "A notice to bond issuers that it stops investing in bonds". This notice was given to issuers the day before issuance day. This was unexpected and folks in bond market were shocked by this. Speculation on why: -For sharholder return. -Some funds flowed into banks deposits -Considering banks deposit cap, they may come back to bond market. They may even look at

11 Aug 2026, 00:08 UTC≈1,540 viewsread 12 August 2026

*SK하이닉스, 채권 투자 전격 중단…발행 하루 전 통보

10 Aug 2026, 09:11 UTC≈1,540 viewsread 12 August 2026

https://www.investchosun.com/site/data/html_dir/2026/08/10/2026081080189.html

10 Aug 2026, 00:14 UTC≈1,430 viewsread 12 August 2026

#리브스메드 리브스메드가 수술로봇 STARK의 한국식약처 허가신청을 했네요 현재 전세계 수술로봇 시장은 intuitive Surgical(ISRG)의 수술로봇 다빈치가 독점하고 있습니다. ISRG는 다빈치 하나만 파는 기업이고 시가총액은 $133.8bil(약 188조원)에 달합니다. 최근 메드트로닉의 수술로봇 HUGO, J&J 수술로봇 Ottava가 허가 받아 다빈치 경쟁 로봇이 나오고 있으나, 진짜 게임체인저는 STARK라는 평가도 있습니다. 존스홉킨스병원 로봇수술 총괄인 아메드 가지 교수는 STARK를 "TRUE 게임체인저"라고 평가했고, 세계로봇수술학회 회장 에두아르도 파라 다빌라 박사는 “그만큼 안전하며, 유연한 기술과 구조를 갖춘 로봇 시스템은 지금껏 본 적이 없다” 라고 평가하기도 했습니다. 다빈치의 대항마가 될 기대감을

Showing the 12 most recent of 45 posts we hold for @SeeBullReal. 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 — 804,162 of 1,350,102entries 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.

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.

“주식돋보기” (@SeeBullReal), 9,228 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/SeeBullReal.

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.