🔧扳手攻击 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
Channel
优质信息收藏夹
@chunse1024
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
25,854subscribers
+4,574 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001854596532 |
|---|---|
| Type | Channel |
| Username | @chunse1024 |
| Description | 优质内容/信息/软件/插件/网站等分享。好玩的、好用的数字产品分享,提高你的信息获取质量。 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/chunse1024 |
Topic
Technology — 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 88% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 13:39 | 25,854 | +143 |
| 19 Sept 2026, 01:40 | 25,711 | +41 |
| 16 Sept 2026, 17:17 | 25,670 | +60 |
| 14 Sept 2026, 20:01 | 25,610 | +96 |
| 13 Sept 2026, 03:18 | 25,514 | +63 |
| 11 Sept 2026, 07:16 | 25,451 | +86 |
| 8 Sept 2026, 08:20 | 25,365 | +116 |
| 5 Sept 2026, 03:57 | 25,249 | +55 |
| 3 Sept 2026, 09:03 | 25,194 | +56 |
| 2 Sept 2026, 01:41 | 25,138 | +56 |
| 1 Sept 2026, 04:44 | 25,082 | +44 |
| 31 Aug 2026, 02:24 | 25,038 | +35 |
| 30 Aug 2026, 01:54 | 25,003 | +31 |
| 29 Aug 2026, 03:47 | 24,972 | +12 |
| 28 Aug 2026, 00:53 | 24,960 | +48 |
| 27 Aug 2026, 01:05 | 24,912 | +63 |
| 26 Aug 2026, 02:44 | 24,849 | +47 |
| 25 Aug 2026, 01:22 | 24,802 | +46 |
| 23 Aug 2026, 15:49 | 24,756 | +81 |
| 22 Aug 2026, 00:24 | 24,675 | first reading |
Engagement
231 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.93%
- avg views ÷ 25,854 subscribers
- Avg views / post
- 757
- 122 posts measured
- Reaction rate
- 0.141%
- reactions ÷ views · ER floor
- Posts in window
- 122
- of 231 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 39 of 122 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 231 (2 August 2026 – 26 September 2026) |
| Views total | 92,411 |
| Reactions total | 48 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 22:16 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.
What this channel posts
- Photos
- ≈8,180
- Videos
- ≈395
- Links
- ≈3,760
Lifetime counters from Telegram’s own channel header, read 26 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.
- Video runtime
- 26m 52s
- Average length
- 1m 21s
Measured directly from 20 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.
Reaction mix
238 reactions across 90 posts, in 13 distinct kinds. The most used accounts for 60.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 145 | 60.9% | |
| 👍 | 47 | 19.7% | |
| 💩 | 10 | 4.20% | |
| 🤡 | 10 | 4.20% | |
| 👏 | 6 | 2.52% | |
| 👎 | 4 | 1.68% | |
| 😁 | 4 | 1.68% | |
| 🤔 | 4 | 1.68% | |
| 🤬 | 2 | 0.84% | |
| 🤮 | 2 | 0.84% | |
| 🫡 | 2 | 0.84% | |
| 🖕 | 1 | 0.42% | |
| 🥴 | 1 | 0.42% |
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 110 of the 231 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 245 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 231 most recent posts we hold, published 2 August 2026 to 26 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.
Recent posts
马斯克母亲最新发文:“我喜欢去中国,那里干净安全” 为什么中国比美国更干净安全? 国内有一些小孩,人总是爱说国外的月亮有多圆。结果马斯克的母亲啪啪打脸了这些人。这其实证明了一件事,并不是国外的月亮有多圆,只是那些人眼里,读《意林》读的太多了,导致精神有些稍微偏差。当然了,有一些人是拿钱办事,这很正常。 说回来,那马斯克母亲既然都这么讲了,那肯定有她的道理。 她早年在美国,现在经常来往中国,甚至经常在上海居住很长时间,她是有这方面的发言权的。 随便你钱包掉了,尤其在大城市,别人都不会拿你的,就更别说那些零元购这种现象的发生,几乎没有。不像有一些,你有一些国家,你到外面去,你的身上的一些财物,随时都可能被抢。 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
大疆pocket 4 要和华为联名了 和标准版有啥区别🤡 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
我一直以为公牛8孔机柜插座已经无敌了 直到我遇到这一款🥲🥲16 孔的 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
偶然发现Google官方发的这套机器学习课程还蛮不错 里面有系统的课程和实战练习,内容从基础概念到实际应用都有覆盖,基本上就是 Google 把内部的 AI 培训资料整理出来免费给大家用。适合想入门或者深入学习 AI、机器学习的同学,可以收藏参考下。 https://developers.google.com/machine-learning?hl=zh-cn 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
❤2👍2
以后再培养他们的头脑,现在 培养心灵就好!陪伴不是替孩子挡掉所有风雨 而是教会他独自面对世界 布鲁伊 真的在教我们新手爸妈怎么做好一个合格的家长 超级适合亲子一起看 《BBC 出品亲子关系布鲁伊三季全集含中英文》 https://pan.quark.cn/s/f2bb15859471 草台班子|优质资源|优质信息|内幕消息
❤1
#频道互推 你不知道的内幕消息🅥 AI探索指南 互联网从业者充电站 书墨资源 出海🚢&自媒体运营秘籍 你不知道的冷知识 优质信息收藏夹 副业赚钱探索指南 两性知识 中年人生存报告 沙雕日常图鉴 ──── 💡 互推: @jxht_bot
做计算机科研,别只知道 Google Scholar,这个老牌“宝藏文献库”你一定要知道! 对于计算机专业的同学和研究人员来说,查找顶会论文、理清学术脉络是日常科研的刚需。今天给大家介绍一个计算机领域的专属文献索引库——dblp(dblp computer science bibliography) dblp 是全球计算机科学领域最权威、最纯粹的开放文献目录数据库之一。它不仅收录了数百万篇顶级会议与期刊的论文元数据,更重要的是它具备极高精度的学者消歧与作者主页系统: 1️⃣ 查阅会议与期刊目录:快速浏览 CVPR、ACL、ICML 等顶会历年的完整录用文章列表。 2️⃣ 追踪学者学术图谱:精准查询某位教授或研究员发表过的所有文章、合作网络以及学术时间线。 3️⃣ 极速获取引用格式:一键导出标准的 BibTeX 引用代码,告别繁琐的手工排版。 搭配「沉浸式翻译」,科研效率翻倍。 在 dblp 上浏览密密麻麻的英文论文标、作者信息和…
❤2
这本《数学的100个基本问(新版)》,真的把数学讲顺了。 让你明白:数学不是算对,而是想通。 适合中学生和大学低年级, 基础一般也能读,逻辑会慢慢长出来。 原来数学的难,不在多,而在没人告诉你这些“基本问”。 立即阅读👉:https://pan.quark.cn/s/11e9edd6320f 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
❤1
Apple的App Store 更新了吗 竟然可以显示图标了 进来还有 不同的更新选项 我一直beta版本没有这个提示的 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
😁1
这得小心“扳手攻击”了😓 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
ChatGPT 手机端的 用户发送的字体颜色变蓝色了吗🥲 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
Showing the 12 most recent of 231 posts we hold for @chunse1024. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 24 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.
@inside1024 · 107,720658 posts互联网从业者充电站
@https1024 · 30,798498 postsAI探索指南
@aigc1024 · 37,130462 posts沙雕日常图鉴
@moyu2023 · 8,814307 posts出海🚢&自媒体运营秘籍
@yunying23 · 21,085207 posts你不知道的冷知识
@knowledge1024 · 19,422193 posts中年人生存报告
@dogdairy · 14,008170 posts副业赚钱探索指南
@text1024 · 19,749161 posts优质「资源」收藏夹
@meiriyishu · 12,035151 posts星辰观察站
@web2star · 8,38361 posts草台班子世界
@zheshijieya · 5,37247 posts极品风韵魅妇
@shaofu2026 · 2,89829 posts🍉 每日吃瓜【人间观察实录】
@doubannew · 3,75521 postsChatGPT 精选
@AwesomeChatGPT · 15,06117 posts优秀設計分享
@jiaohusheji · 4,99117 posts两性知识
@liangxing365 · 14,09915 posts书墨资源
@shumozy · 20,76914 postsfeelings yiheng
@feelingsyiheng · 13 posts零七八碎
@lingqibasui42 · 53 posts知识技能
@zhishijineng42 · 53 posts工具
@weichenjilu · 12 postsNaruto 频道推荐 👍👍👍
@AChansp · 23,6051 post频道收藏推荐
@taobao1024 · 2,7461 post新宇宙
@yuzhou2088new · 31 post
Names
Channels on the register whose handles appear in this channel's posts.
@meiriyishu · 12,035215 posts你不知道的内幕消息🅥
@inside1024 · 107,720200 postsAI探索指南
@aigc1024 · 37,13017 posts中年人生存报告
@dogdairy · 14,00816 posts互联网从业者充电站
@https1024 · 30,79816 posts你不知道的冷知识
@knowledge1024 · 19,42216 posts两性知识
@liangxing365 · 14,09916 posts书墨资源
@shumozy · 20,76916 posts副业赚钱探索指南
@text1024 · 19,74916 posts出海🚢&自媒体运营秘籍
@yunying23 · 21,08516 posts沙雕日常图鉴
@moyu2023 · 8,8142 posts草台班子世界
@zheshijieya · 5,3721 post
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“优质信息收藏夹” (@chunse1024), 25,854 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/chunse1024.
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.