Channel
@one_going
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
46,077subscribers
+187 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002249953555 |
|---|---|
| Type | Channel |
| Username | @one_going |
| Created | Between 1 August 2024 and 31 December 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/one_going |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:15 | 46,077 | +42 |
| 11 Aug 2026, 21:51 | 46,035 | +63 |
| 10 Aug 2026, 21:38 | 45,972 | +14 |
| 10 Aug 2026, 01:13 | 45,958 | +28 |
| 9 Aug 2026, 00:55 | 45,930 | +18 |
| 8 Aug 2026, 03:58 | 45,912 | +8 |
| 7 Aug 2026, 01:52 | 45,904 | +14 |
| 6 Aug 2026, 03:37 | 45,890 | first reading |
51 posts held, back to 2 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 18 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 51 (2 August 2026 – 12 August 2026) |
| Views total | 901,500 |
| Reactions total | 10,021 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 20:00 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.
9,462 reactions across 49 posts, in 20 distinct kinds. The most used accounts for 40.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,815 | 40.3% | |
| 👍 | 3,512 | 37.1% | |
| 😁 | 602 | 6.36% | |
| 😭 | 331 | 3.50% | |
| 🤣 | 174 | 1.84% | |
| 🔥 | 171 | 1.81% | |
| 😢 | 157 | 1.66% | |
| 🤔 | 140 | 1.48% | |
| 💘 | 136 | 1.44% | |
| 💯 | 94 | 0.993% | |
| 🥰 | 84 | 0.888% | |
| 🙈 | 54 | 0.571% | |
| ✍ | 48 | 0.507% | |
| 😇 | 35 | 0.37% | |
| 🎉 | 27 | 0.285% | |
| 😍 | 24 | 0.254% | |
| 🤡 | 19 | 0.201% | |
| 🫡 | 15 | 0.159% | |
| 🐳 | 13 | 0.137% | |
| 😘 | 11 | 0.116% |
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 51 of the 51 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 10,021reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 2 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.
■ CPI 발표이후, 미연준 9월 금리인상 가능성 1) fedwatch 인상(37%), 동결(63%) https://www.cmegroup.com/markets/interest-rates/cme-fedwatch-tool.html 2) 폴리마켓 인상(31%), 동결(69%) 3) 칼시 인상(30%), 동결(70%) *미연준은 CPI, 고용지표, PCE를 종합해서 금리 결정. 이달말 PCE만 무난하게 나오면 되겠습니다. *목욜은 오늘 쉬었던 바이오가면 딱 좋겠군여
❤93👍43🎉8💘4
😄😄😄
❤98😭84😁47🤣9😘8😢8💘3
👍👍👍
❤114👍38🥰8😁6💘3✍2😍1
매매란 게 2% 오르면, 4% 올랐음 싶고 4% 오르면, 6% 올랐음 싶고 8% 오르면, 더 올랏음 싶고 그러다 다시 5%되면 괜히 아쉽고😉 20%씩 오르는거 보면 왜 못삿나 싶고 ㅎ 그래도 지겹도록 내린 7월보다 마음도 편하고, 훨씬 나은 8월입니다 이제 쉬다가 9시반 같이 기도하죠. 나무아미타불
❤208🤣53👍32😁12😇9🔥6🫡3
*요즘은 화장품섹터 텔레그램 채널 추가해놓으셔도 괜찮다 싶슴다 [한투증권 김명주] 유통/화장품/생활소비재 https://t.me/kmj_retailcosmetics [신한 리서치본부] 화장품/의복 https://t.me/shinhanconsumer 다올 의료기기/화장품 박종현 https://t.me/alexppark
❤47👍24😁4😭3
크게 의미있는 선은 아니지만, 반등을 시작함에 있어 이정도구간부터는 괜찮다 싶긴하네여. 앞으로 나올 몇개의 캔들에 한번 기대를 😉
👍159❤65😁16🔥15😭12🤔4🤣3
■ 8월 시장흐름 요약 1) 화장품 : 정배열 가장 많은 동네, 돌파도 나오는곳. (단 반도체가 강하게 상승할땐 종종 밀림) 2) 바이오 : 쌈바, 셀트, 알테오젠 바이오대장이 좋은 흐름 이끌어감 3) 로봇 : 에스피지 대장 흐름 (이달에 현대차 인베스터 데이를 로봇주는 기다려봄) 4) 반도체 장비주 : 삼전하닉 팹 뉴스들 계속 나옴 5) 반도체 기판주 : 심텍이 대장 흐름 6) 은행주 : 고점 근방에서 밀리진 않는중 7) 삼전·하닉의 귀환 여부 : 주주환원 발표와 외국인 매수세 여부 *그외로 대부분섹터 골고루 반등하면서 60일선 근방으로 붙는중. *주도섹터보다는 개별 종목 장세가 진행중. *이번주 지나면 좀더 선명한 주도섹터가 보이겠죠
❤185👍44🤔19
Photo, posted without a caption
🤣85😢55🙈16❤12🔥7🤔4🤡2
우리의 원동력😭😭
😁193😭129❤37😢12🫡9🙈7🔥5
난가? 😭😭
😁133🙈29😢16❤13🤡7👍3😍2
1) 화요일 오전은 화장품 섹터 강세. 정배열이 가장 많은곳이기도 하고 수출지표도 좋았고, 반도체가 좀 쉴때 화장품은 강하긴하네요. 2) 8월의 주도섹터 경쟁은 화장품, 금융주, 바이오, 로봇, 반도체장비 이런구도. 아직 명확한 주도섹터는 없음. 종목장세가 진행중. 3) 이제 시장의 메인 기다려보죠 수요일 9시반 CPI (시장 컨센은 3.4%인데 높게만 안나오길 바라며) *맛있는 점심 되십쇼.
👍154❤64🥰17😍2
Photo, posted without a caption
❤80👍35🥰5🫡1
Showing the 12 most recent of 51 posts we hold for @one_going. 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 — 88,994 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.
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.
Named by 4 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“요약하는 고잉” (@one_going), 46,077 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/one_going.
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.