Channel
@chunse1024
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
21,503subscribers
+223 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| 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 | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/chunse1024 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 17:03 | 21,503 | +25 |
| 11 Aug 2026, 18:25 | 21,478 | +34 |
| 10 Aug 2026, 15:31 | 21,444 | +46 |
| 9 Aug 2026, 17:51 | 21,398 | +44 |
| 8 Aug 2026, 17:41 | 21,354 | +29 |
| 7 Aug 2026, 20:08 | 21,325 | +14 |
| 6 Aug 2026, 18:52 | 21,311 | +31 |
| 6 Aug 2026, 03:37 | 21,280 | first reading |
46 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 20 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. It is computed over the 29 of 46 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 46 (2 August 2026 – 12 August 2026) |
| Views total | 65,301 |
| Reactions total | 66 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 23:11 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 12 August 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.
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.
59 reactions across 23 posts, in 6 distinct kinds. The most used accounts for 54.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 54.2% | |
| 👍 | 15 | 25.4% | |
| 💩 | 8 | 13.6% | |
| 🫡 | 2 | 3.39% | |
| 👏 | 1 | 1.69% | |
| 😁 | 1 | 1.69% |
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 29 of the 46 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 66reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 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.
1，生活中的选择越少、越直接、越简单，是一件对前额叶特别好的事情。 真正对大脑友好的设计，核心是让人能快速找到有用信息，减少无意义比较，把精力留给真正重要的判断。 2，除了自己的前额叶，我们也得尊重伴侣的前额叶。东西用完要收好，自己的事情自己管理好，别把对方当做你的外置大脑。一旦前额叶被生活琐碎过度占用，人就容易情绪不好。 3，有一个对大脑健康非常有好处的小技巧，就是别把琐事都放脑子里压着，可以把一些想法手写下来，这是一种及时的外置，可以把前额叶里的很多小事清空掉。当你把自己的思绪写在纸上，可能有助于你的大脑的DMN（Default Mode Network，指人在休息、发呆或内省时活跃的神经网络）的活动强度下降，人就更容易回到眼前的行动，然后该做什么就去做什么。 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
《稳赢人生的底层逻辑》 带你看清真正让人“稳赢”的底层逻辑，每一句，都是人生的方向盘。 链接：https://pan.quark.cn/s/3a0c63f9938a 优质「资源⏬」收藏夹👇 https://t.me/meiriyishu 优质「信息✉️」收藏夹👇 https://t.me/chunse1024
❤1
昨天晚上做完 Youtube 视频后，本来想休息了，但无意中在时间线上刷到了这篇文章。在我完整读完一遍之后，久久不能平静，文章中的很多内容都和我一直以来持有并践行的东西不谋而合。 文中提到一点，大多数人从出生到死亡，都会按照既定的框架，上学、毕业、找工作、结婚生子，穷其一生都在为所谓体制的利益服务，而非自身利益。 而学校作为体制中最关键的一环，目的就是为了培养出老实听、服从规矩的顺从者。 在这个过程中，人性天生的创造力被极大地削弱，为了在体制内生存，只能被迫专精于某项技能，扮演好螺丝钉的角色。 然而这个社会的顶尖阶层，放眼望去，几乎都是通才。 一个上市大公司的高管，既懂营销，知道怎么卖东西，又懂产品，知道用户想要什么，还通晓人性，能够带团队。 这些人并非只专精于某个领域，而是在各个领域都有所涉猎，这让他们拥有无限选择的可能性。看似杂乱无章的技能碎片，却成为了他们通向成功路上的一块块拼图。 所以说，永远不要被既定的框架、被主流的叙…
👍1
《经济学人》主编Zanny针锋相对访谈马斯克： 问：你是反穆斯林吗？ 马斯克：“如果有人带着截然相反的观点来到一个国家，我反对。” “我反对强奸和谋杀。我反对强加与我们在西方已经接受的观念相悖的规则和法律。” “像你们这样的传统媒体竟然看不清这一点，真是令人痛心！” 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
《捞偏门》：揭秘快速赚钱项目与灰色产业链内幕 整理了各种快速赚钱方法与新兴项目，书中不仅揭开了灰色产业链的内幕，也提醒读者防范骗局，避免被割韭菜。 🔗：https://pan.quark.cn/s/4df427340d5e 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
👍2❤1
优质「资源⏬」收藏夹👇 https://t.me/meiriyishu 优质「信息✉️」收藏夹👇 https://t.me/chunse1024
❤1
我怀疑老师也常上推啊，老师说： 1、给孩子要用就要用顶级的大模型，用垃圾模型都是浪费时间。 2、让孩子用费曼学习法，输出型学习。 3、现在的课程都是旧工业时代课程，以后不分文理科，程序员也能搞艺术。 4、未来人才模型是艺术型工程师 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
❤2
#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 ──── 💡 互推: @jxht_bot
👍2
雪峰资料合集，目前最全版本，大佬一路走好🙏 包括志愿填报课程、升学规划宝典、张雪峰演讲等 链接：https://pan.quark.cn/s/e7214288c128 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
😁1
谷歌正在搞 Chrome 动态更新🥳 以后很多安全补丁不用重启浏览器就能装上了 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
❤1
优质「资源⏬」收藏夹👇 https://t.me/meiriyishu 优质「信息✉️」收藏夹👇 https://t.me/chunse1024
嗯，AI 聊天超级缝合怪，口号是“把所有 AI 都塞进你的 Mac 里，大力出奇迹” Chorus https://github.com/meltylabs/chorus 优质「内容」 | 优质「资源」 | 你不知道的内幕消息🌳
❤1
Showing the 12 most recent of 46 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.
Citation-graph rank — 49,266 of 1,160,990entries 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.
Named by 18 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“优质信息收藏夹” (@chunse1024), 21,503 subscribers as measured 12 August 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.