Channel
@Koffeinchan
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
37subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001564398416 |
|---|---|
| Type | Channel |
| Username | @Koffeinchan |
| Description | 除特别说明外均可转载 |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Koffeinchan |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 22:01 | 37 | no change |
| 10 Aug 2026, 11:01 | 37 | first reading |
19 posts held, back to 10 May 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 1 pageof 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 7 August 2026 |
|---|---|
| Posts held | 19 (10 May 2026 – 7 August 2026) |
| Views total | 533 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 22:01 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 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
9 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 5 | 55.6% | |
| ❤ | 2 | 22.2% | |
| 👍 | 2 | 22.2% |
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 3 of the 19 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 May 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.
【曲谱同步】武満 徹 - 秋庭歌一具 (Tōru Takemitsu - In an Autumn Garden for gagaku orchestra ) @工具人giao: 发布视频 播放量:989 弹幕:0 评论:7 点赞:48 投币:15 收藏:55 转发:8 发布日期:2026-02-28 02:00:00 上传日期:2026-02-27 15:23:40 🔝> : 武満 徹 - 秋庭歌一具 (1973-1979) 武满彻 - 秋庭歌一具，为日本雅乐团而作 (1973-1979) Tōru Takemitsu - In an Autumn Garden for gagaku orchestra (1973-1979) Tokyo Gakuso 【東京楽所】 第１曲「参音聲」00:20 第２曲「吹渡」07:41 第３曲「塩梅」12:03 第４曲「秋庭歌」18:04 第５曲「吹渡二段」32:29 第６曲「退出音聲」3…
比血肉🩸🫀里的恶疾🦠生长得还要快—— 快到你尚未来得及 察觉👁️🗨️⚡ 把生命强行剥离自—— 它赖以栖身的 躯壳🫁🦴🕳️ 从内部吞噬—— 🐛🫀🐛 直到连痛觉也被 吃尽🫥 将你的肉身绞碎成—— 一堆 再也无法辨认的 碎片🩸🪞🦷✦✦ 相信我能做到—— 并且做得 比死亡 更彻底⚰️🕯️ 把你一路推向最深处—— 推到连回声也无法抵达的 地方 🕳️ 🕳️ 🕳️ …… 哪怕只是为了向一个活生生的人证明—— 🫀 我能够决定 另一个人 何时 死去⌛🪦 你的性命，正握在我🥺的—— 掌🫴🏻 心🩸
【纪录片】巴托克·贝拉 中字后补 @A005132: 发布视频 播放量:470 弹幕:0 评论:9 点赞:24 投币:4 收藏:41 转发:3 发布日期:2025-10-25 16:24:41
贝尔托·布莱希特《致逃亡者 W. B. 之自尽》 Zum Freitod des Flüchtlings W. B. --- Ich höre, dass du die Hand gegen dich erhoben hast 我听说，你举起手对准自己， Dem Schlächter zuvorkommend. 抢在屠夫下手之前。 Acht Jahre verbannt, den Aufstieg des Feindes beobachtend 流亡八年，注视着敌人的崛起， Zuletzt an eine unüberschreitbare Grenze getrieben 最终被逼到一道不可越过的边界， Hast du, heißt es, eine überschreitbare überschritten. 据说，你越过了一道可以越过的边界。 Reiche stürzen. Die Bandenführer 帝国倾覆。…
《在异乡的土地上》 Eine Studie nach Yukio Mishima „Es gibt wohl keinen Menschen, der nicht schon einmal an seinen eigenen Tod gedacht hat.“ “此刻，究竟有多少人正站在窗前，凝望着黑暗，想着纵身跃下？”一阵滚烫的怜悯涌上心头，她同情这个世界上的人，也同情动物，更同情那个孤独的自己。她失声痛哭，又害怕有人听见，便紧紧捂住嘴，让哭声消失在黑暗里。 她不想见任何人。此刻，她只想独自留在这间房间里，仿佛与整个世界隔绝。 夜色渐深，她慢慢平静下来。泪水止住了。她打开抽屉，收拾那些属于过去的东西，不愿留下任何可能泄露她内心秘密的痕迹。 她从衣柜里取出自己最漂亮的一条连衣裙，轻轻穿在身上。她最后一次站在镜子前，凝视着自己的模样。她想象着自己从高处坠下、撞向地面的那一刻，也想象着这条美丽的裙子会如何被鲜血与泥土染污…
中世纪石匠在教堂檐角雕下恶魔的獠牙，不是为了凭空制造惊恐，而是要在目力所及的石块上，给那个超自然的世界立一个看得见的锚点。今天我们在屏幕里用代码堆砌怪兽，也是在把抽象的欲望与焦虑实体化。 变化的不是幻象的真伪，而是人与幻象的关系——从超越性的崇拜，变成了可交互的体验。过去的人确信恶魔盘踞在黑暗中，所以给它赋予形体；现代人明知《幻兽帕鲁》里的异兽不过是一串碰撞体积与渲染数据，却依然心甘情愿搭进去上百小时，在算法搭出的流水线上搞建设、算效率、反复支配。 圣安东尼在沙漠里抵御魔鬼的苦修，如今演变成了玩家面对资源循环与正向反馈时的留恋。魔鬼不再觊觎你的灵魂，它只是在耳边轻声催促：“再建一座工厂，再抓一只帕鲁。” 哥特式雕刻曾刻下人类对瘟疫、死亡与荒野的惧怕，而那些像素生物，则忠实地拓下了现代人对控制感与生产力的执念。 离开石造穹顶，走入冷光荧幕，人类其实从未走出过自己建造的圣殿。我们只是换了一种方式与虚无妥协：从前把恐惧凿…
Bird Song 鸟鸣 一个专注于鸟鸣背景音与自然白噪音的在线网站，主要提供鸟类声音收听、混音器调节及猜鸟游戏等功能，适合睡眠、专注和放松场景使用。 🧘 网址: 资源链接 💞 感谢 [ 来自 匿名 供稿 ] 💭 资讯 | 💭 网盘 | 💭 投稿
在这张拍摄于1933年的老照片里，阳光洒在古堡前的草地上，小提琴家克莱尔·德尔博斯（Claire Delbos）身着白裙优雅拉琴，年轻的奥利维埃·梅西安（Olivier Messiaen）则坐在一旁，沉浸于手中的乐谱。彼时爱意正浓，梅西安亲昵地称妻子为“Mi”。几年后，他亲自撰写诗篇并谱成声乐套曲《为Mi写的诗》（Poèmes pour Mi）——从首乐章《感恩》的虔诚、自然风光的温存，到《恐惧》的战栗、婚姻盟誓与《两位战士》的并肩，再到终曲《充沛的祷告》，他把婚姻写成了一场近乎圣坛级别的神圣契约。女声时而低回祈祷，时而爆发出先知般炽烈的宣告，绚烂的复合调式与突变的节奏，仿佛都在证明这份爱足以抵抗时间。 然而命运并未遵守音乐里的誓言：战后，德尔博斯因脑部疾病迅速丧失记忆与神志，在漫长的失智中被送入疗养院；而梅西安也在灵感的碰撞中爱上了学生兼缪斯伊冯娜·洛里奥。受制于天主教信仰与道德枷锁，梅西安守着誓言未曾离婚，直到1959年…
Photo, posted without a caption
吧唧（badge）都是有趣的知识载体。这位独眼大胡子，是大航海时代的葡萄牙诗人 Luís de Camões（卡蒙）。他曾在澳门生活过一段时间。他说，“命运对于我们并无所谓利害，它只供给我们原料和种子，任那比它强的灵魂随时变换运用，因为灵魂才是自己幸与不幸的唯一主宰。”这话虽带些励志鸡汤味道，但所谓命运，并不是某种超自然意志，更像是人们事后对海量偶然事件所作的统计归类。出生、时代、阶层、疾病和相遇，不过是一组初始条件；此后的人生，则是在有限约束下不断演化的随机过程。那个时代的人，能暂时脱离宗教情绪，以这样的方式理解人的处境，已经很厉害了。
弗朗茨·舒伯特 / 卢恰诺·贝里奥：《Rendering》（呈现，1988/1989） 根据舒伯特《D大调第十交响曲》D.936A（1828）草稿创作 舒伯特在生命最后几个星期里，为一部未完成的 D大调第十交响曲（D.936A） 留下了大量草稿。这些复杂而富有美感的片段显示出一位正在走向新道路的作曲家：他逐渐摆脱贝多芬的影响，探索新的音乐可能性。然而，年仅31岁的舒伯特于1828年突然离世，使这部作品永远停留在草稿状态。贝里奥的《Rendering》并非对这部交响曲的完成或重建，而是一种“修复性的呈现”：如同古画修复一般，让古老的色彩重新显现，却不掩盖时间留下的损伤与空白。舒伯特的音乐碎片与贝里奥创作的遥远而透明的连接层相互交织，使草稿之间的不连续、间隙与沉默获得了新的意义。在生命最后的日子里，舒伯特曾学习对位法，并在第十交响曲草稿中留下了一段简短的反向运动卡农；贝里奥将这一片段重新配器并融入第二乐章。这部作品因此呈现出一种独…
[Luciano BERIO] Rendering for orchestra (1990) https://www.youtube.com/watch?v=3JxUVaiMSWo orchestration of the sketches for Schubert's tenth symphony 0:00 - (Introduction) 0:30 - I. Allegro 9:57 - II. Andante 22:43 - III. [Allegro, 120bpm] Performers: Orchestre de Paris; Christoph Eschenbach (conductor) @伏特加与熊: 发布视频 播放量:276 弹幕:0 评论:2 点赞:15 投币:3 收藏:17 转发:5 发布日期:2021-06-18 03:14:48
Showing the 12 most recent of 19 posts we hold for @Koffeinchan. 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 — 1,237,447 of 1,480,944entries 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.
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 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.
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.
@Koffeinchan named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Hyp3r的音乐咖啡馆” (@Koffeinchan), 37 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Koffeinchan.
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.