Channel
@athletes_village
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
21,621subscribers
-83 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001612411061 |
|---|---|
| Type | Channel |
| Username | @athletes_village |
| Description | *필독: 기관투자자, 금융업계전문가 및 이에 준하는 지식과 경험을 가진 분들(이하 "선수들")을 대상으로 잡다한 정보와 진실을 알아보는 '인문사회자연과학 탐사채널' 텔레그램 채널 선수촌 (이하 "본 채널")의 모든 권리는 본 채널의 관리자에게 있습니다. 선수촌 입소 전에 첫 번째 게시물인 면책조항들을 반드시 숙지하시기 바랍니다. |
| Created | 13 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/athletes_village |
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 94% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 07:17 | 21,621 | -6 |
| 18 Sept 2026, 22:57 | 21,627 | -13 |
| 16 Sept 2026, 13:36 | 21,640 | +24 |
| 14 Sept 2026, 20:36 | 21,616 | -10 |
| 11 Sept 2026, 05:55 | 21,626 | -5 |
| 8 Sept 2026, 10:39 | 21,631 | -11 |
| 5 Sept 2026, 02:01 | 21,642 | -12 |
| 3 Sept 2026, 11:39 | 21,654 | -4 |
| 2 Sept 2026, 02:24 | 21,658 | +1 |
| 1 Sept 2026, 00:47 | 21,657 | -1 |
| 29 Aug 2026, 22:58 | 21,658 | -4 |
| 28 Aug 2026, 23:32 | 21,662 | -6 |
| 27 Aug 2026, 20:14 | 21,668 | -6 |
| 26 Aug 2026, 23:17 | 21,674 | -5 |
| 25 Aug 2026, 20:12 | 21,679 | -11 |
| 24 Aug 2026, 20:15 | 21,690 | -8 |
| 23 Aug 2026, 06:23 | 21,698 | -7 |
| 21 Aug 2026, 18:57 | 21,705 | -4 |
| 20 Aug 2026, 16:56 | 21,709 | +8 |
| 19 Aug 2026, 19:03 | 21,701 | first reading |
284 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 60 pages of 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. It is computed over the 53 of 55 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 284 (4 August 2026 – 27 September 2026) |
| Views total | 268,052 |
| Reactions total | 1,437 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 16:49 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.
Lifetime counters from Telegram’s own channel header, read 27 September 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.
6,186 reactions across 261 posts, in 67 distinct kinds. The most used accounts for 15.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 6296485552732511451 | 927 | 15.0% | |
| ❤ | 652 | 10.5% | |
| custom 5337219064030834234 | 648 | 10.5% | |
| 🤬 | 407 | 6.58% | |
| 😁 | 391 | 6.32% | |
| 👍 | 353 | 5.71% | |
| custom 5361955717718751643 | 340 | 5.50% | |
| custom 5361749348835147030 | 206 | 3.33% | |
| custom 5361702761324885730 | 196 | 3.17% | |
| 👏 | 169 | 2.73% | |
| 🤮 | 152 | 2.46% | |
| 🤣 | 141 | 2.28% | |
| 🔥 | 139 | 2.25% | |
| 🤪 | 138 | 2.23% | |
| custom 5335023382259838989 | 135 | 2.18% | |
| 💩 | 131 | 2.12% | |
| 🖕 | 90 | 1.45% | |
| 👎 | 73 | 1.18% | |
| custom 6296326510093541330 | 69 | 1.12% | |
| 😡 | 60 | 0.97% | |
| 47 further kinds | 769 | 12.4% |
Custom emoji. 7 of the rows above are 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 counts beside them are Telegram’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 280 of the 284 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 6,576 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 284 most recent posts we hold, published 4 August 2026 to 27 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @athletes_village. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 284 most recent posts we hold for this entry, published 4 August 2026 to 27 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
No pain, no gain. 꽃길을 걷는 교육의 결과 —» 뇌가 꽃밭 —» 꽃(민생쿠폰 등) 뿌리는 정책 지지 그는 “나이에 상관없이 운동할 때 가장 중요한 것은 근육을 집중적으로 자극해 피로하게 만듦으로써 단련하는 것”이라고 설명했다. https://n.news.naver.com/article/081/0003683652 https://t.me/athletes_village/23537
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반도체 공급망에 따르면, TSMC가 여기서 5개의 첨단 패키징 공장을 추가 투자하여 건설하려는 의향이 있다고 전해졌으며, 자이 과학단지는 앞으로 최대 10개의 첨단 패키징 공장을 보유하게 되어 한 번에 세계 규모가 가장 크고 기술이 가장 집중된 첨단 패키징 생산 중심지가 될 것입니다. TSMC가 대만 자커에 어드밴스드 패키지 공장 5개를 증설할라 칸다더라 늬우스 떡밥이 다섯개 https://ec.ltn.com.tw/article/breakingnews/5586843
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갠적으로 동의할 수 없는 기사 제목. 계급을 가른 것은 소주성과 재매이노믹스임. https://n.news.naver.com/mnews/article/020/0003750693 https://t.me/athletes_village/23538
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두뇌풀가동 https://t.me/athletes_village/23538
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교육계에서 진보를 표방하는 인사들의 상당수는 특히 ‘어려운 수능’을 배격합니다. 수능 난이도가 올라가면 사교육에 의존하는 경향이 커지고, 사교육비 지출을 늘릴 여력이 있는 가정배경의 학생들이 유리해져 교육 불평등도 커진다는 게 이들의 주장입니다. 쉬운 수능일 때 사회경제적 여유가 있는 학생에겐 재수·반수 선택이 상대적으로 ‘쉬운’ 결정이 될 수 있다는 취지가 담겨 있습니다. 비용을 들여 재수나 반수를 하면, 그만큼 성적을 올리기가 유리하다는 뜻으로 해석되죠. 반면 매해 비용이 올라 연간 3000만원 넘게 들어가는 재수 비용을 감당하기 어려운 학생들에겐 재수 선택의 문턱이 더 높아진 상황입니다. 경향신문 2025.12.27. 기사. K-진보: 교육과 부동산 경제 등 다방면에 걸쳐서 사다리를 걷어차는 집단 https://n.news.nav…
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The patterns are complex, and depend a lot on how AI is used, but the bottom line is simple: we do not get fit by watching sports, but by doing sports. In the same way, learning is always about cognitive struggle. Rather than make things easier, we need rigorous, focused and coherent learning environments that make students stronger. In PISA, both individuals and countries perform better when students believe that su…
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[뽐뿌] 한국도 따라한 "핀란드식 교육" 추락!! https://m.ppomppu.co.kr/new/bbs_view.php?id=freeboard&no=10131056
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클로드랑 코덱스 리셋 쿠폰 중고매매가 가능하면 좋을 듯 백화점 상품권처럼 깡쳐서 사고팔면 서로 윈윈
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왜때문인지 몰라도 추석 선물을 또 준다는 것 같다. 대.피.티.
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일본 '사회인 야구'는 동호인 야구가 아니다. 한국으로 치면 '실업 야구'다. 중고교 때 야구를 한 선수들이 일본 프로야구 드래프트에서 지명을 못 받아 사회인 야구로 진출하거나, 프로가 아닌 안정적인 직장으로 사회인 야구를 선택하는 선수도 있다. 사회인 야구에서 1~2년 뛰다가 프로 구단의 지명을 받는 선수도 제법 나온다. 도요타자동차, ENEOS, 혼다, NTT, JR, 도시바, 히타치 등은 대기업에서 운영하는 강팀이다. 지역 예선을 거쳐 치르는 도시대항전과 일본선수권이 가장 큰 대회다. 오늘의 trivia: 1. 일본 사회인 야구팀 선수들은 대기업+운동선수 하이브리드 2. ...이므로 미팅 및 소개팅 매물로 인기가 많음. 3. 따라서 여자들 사이에 후기(?)가 많다. https://n.news.naver.com/mnews/arti…
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(Bloomberg) -- The Philadelphia Semiconductor Index (SOX), home to chip bellwethers like Nvidia Corp., Intel Corp. and Advanced Micro Devices Inc., has trailed the Nasdaq 100 Index by nearly 14 percentage points since early July. That puts it on track for the biggest quarterly underperformance relative to the broader technology gauge since 2007, according to data compiled by Bloomberg. That’s a sea-change for the in…
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이런 걸 보면 AI가 촌장의 밥그릇을 뺏어갈 일은 없을 것 같다. Wall Street nver changes, because human nature never changes. - Jesse Livermore https://t.me/athletes_village/10464
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Showing the 12 most recent of 284 posts we hold for @athletes_village. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 66 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 14 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 23 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 43 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“선수촌” (@athletes_village), 21,621 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/athletes_village.
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.