https://wangyurui.com/posts/zhong-guo-guan-liao-zheng-zhi-yan-jiu-5ac5c05e

Channel
太隐拾遗 👀
@taiyin101
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
168subscribers
+4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003559383515 |
|---|---|
| Type | Channel |
| Username | @taiyin101 |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/taiyin101 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 23:34 | 168 | +3 |
| 8 Aug 2026, 16:16 | 165 | no change |
| 8 Aug 2026, 12:01 | 165 | +1 |
| 7 Aug 2026, 23:45 | 164 | first reading |
Engagement
20 posts held, back to 14 July 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 · 30 days
- 67.4%
- avg views ÷ 168 subscribers
- Avg views / post
- 113
- 15 posts measured
- Reaction rate
- 3.80%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 20 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 7 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (14 July 2026 – 7 August 2026) |
| Views total | 1,699 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 16:16 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.
Reaction mix
37 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 54.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 20 | 54.1% | |
| ❤ | 12 | 32.4% | |
| 😁 | 3 | 8.11% | |
| 😡 | 1 | 2.70% | |
| 🤔 | 1 | 2.70% |
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 10 of the 20 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 14 July 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.
Recent posts
收拾了下家里堆在地上的书,我突然发现我每年光买书就要花掉几千块钱,这还是在 99% 买的都是二手书的情况下……还是要想一想怎么回下本……_(:з」∠)_ #吐槽
凡是倡导集体优先的社会,必然都会强调一种更强组织化的手段和更强的集体控制。由此带来了两个问题:一是个人可能会被压制,个性受到压抑;二是那掌握集体控制手段的个人或集团,往往会拥有更大的权力,甚至可能侵犯其他普通个人的自由与权利。这也是集体主义模式的危险所在。 —— 包刚升教授 #政治学
👍1
不喜欢温的文笔,读的太累了。不过小书的装帧设计还不错。
戴震晚年写的《孟子字义疏证》的确超级🐂🍺(批判程朱理学的著作)。 虽然很多人都说他的学术成就是被低估的,但我一直认为应该需要在低估前边还是一个“很”,是被严重低估的天才学者,学识太强悍了,但大部分人过于关注他在考证学、水利、地理、历算等等领域(没错,这哥们算是个全才,天文地理都有研究,但他本人其实对自己的哲学研究是最得意的)。 可惜他的学生除了段玉裁有些资质外,都太弱了,读不明白这本书的意思,更别说有什么突破了。 说句题外话,戴震也就是《铁齿铜牙纪晓岚》里面戴沾的原型。 #读书
说个有趣的,《中国近代史》第六版封面图片是原浙大沈弘教授提供的,他也是浙江省翻译协会的副会长,专攻中外文化领域。那么这张图片怎么获得的呢?这本书说明里面没说。我去搜了下相关的资料。 1842 年的时候,英国发了世界上第一份以图画为内容主题的周刊,即《伦敦新闻画报》,很早的时候他们发现西方读者喜欢看东方国度的新闻,然后从很早就在画报上刊登关于中国的照片。偶然的机会,沈弘教授发现了这个周刊,便花了十年的时间将周刊里设计中国历史的照片整理了出来,编译成了《遗失在西方的中国史》,而这封面图片就是这里面的一张。 图里的背景是 1900 年 8 月 15 日,八国联军中的美军士兵用大炮轰击天安门不得,最后用日军送来的云梯才登上了城楼,并升起了星条旗,于是美国随军的摄影师便拍下了这个瞬间。 #读史
😡1
昨天晚上读徐中约的《中国近代史》,为了此次重读的更加专注,我想到了张口阅读,便一口气读完了前五章,今天早上嗓子好难受…🥲 #读书
关于读书做笔记这个事情,大部分书其实读来就是一个或两个触动点,记录下、摘抄下就可以了,一般这类收获相对不大的书,我是不会单独建个页面来放它们的。因为当你读的书越多,就很容易造成笔记上的信息密度过高,很影响效率和记忆,而且再去整理也很麻烦。 所以,我是建一个年度阅读页面(如图),然后把它们的精华或者摘抄的内容放进去就可以了,绝不贪多(这个“贪”指的是不要有未来可能有用的想法),然后用标签或双链来串联起来(这个还要具体看怎么设计笔记结构)。 但是,笔记这东西,非常需要回顾,非常需要做减法。比如相同的几条,你就可以用自己的话概括起来,融合起来。或者,有些你看到后,你已经不再需要,一定要删掉。所以,我是每天都会记录一些新东西,但是我删的东西也有很多。我会持续将这个笔记系统处于不过载的状态。这个过程,对我而言收获和乐趣还是很高的。 #读书
❤6
自从 Readwise 升级到 2.0 后,哎呀,真香啊😄,果断续费✧٩(ˊωˋ*)و✧
我读书喜欢用荧光笔,最常买的牌子就是德国施德楼,基本上每次直接就买一整盒,够我用好几个月。但我这两年用起来,明显发现施德楼的质量越来越差了,光笔头就经常性断掉,更不提它那个实际容量是否达标。 今天下单百乐和思笔乐的荧光笔了,看看质量咋样,对施德楼太失望了… #吐槽
话说,我结婚的时候,因为我和我老婆异地,工作都很忙。所以,我俩在做的视频和一些古装合照都是 用 AI 做的,效果很不错,就是prompt 写了一大堆。但现在想想,如果当时要是能用现在的模型,估计效果还要更好。 关于视频也很值得说说,因为我和我老婆都很喜欢世界奇妙物语。所以结婚的时候,我用 AI 做了一个世界奇妙物语式的结婚短片,在现场播放的时候确实把很多人惊艳到了。有打算要结婚的,不妨可以搞些这种创意哈哈。
❤5
很多人总是不自主的“仰视”“名人”。比如最近梁文峰,他只是表现出了一个正常人应有的表达能力,就被炒的火热,只是说他的身份不同而已。不仅如此,每次有什么大事件发生,背后的人总要被推上高位,甚至怎么说话,吃什么中午饭都要大肆宣扬一下。这么多年了,罗伯特·西奥迪尼说的“权威原则”一点没变化。 按道理说,互联网人应该是最有去中心化精神的,但现在越来越封建回潮了。比如粉丝经济、饭圈文化、意见领袖崇拜、创业者造神,仿佛大规模复现了前现代的人身依附关系。一群人自愿围绕一个核心人物组织起来,替他传播、替他辩护、替他攻击异见者,这套运作方式跟封建时代的门客制度在结构上真的如出一辙。 而且,我是较为反感“大神”、“大佬”、“跪了”、“膜拜”等等这样的词汇,背后反映的是对于思考的懒惰。很多人其实都不笨,也有独特的能力和才华,只是缺乏对应的资源和机遇。但非要把自己姿态贬到最低,这实在没有必要。而且语言习惯确实是会影响认知倾向,批判性思维会逐渐拉高阈…
👍13🤔1
Showing the 12 most recent of 20 posts we hold for @taiyin101. 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
Citation-graph rank — 868,559 of 1,481,243entries 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“太隐拾遗 👀” (@taiyin101), 168 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/taiyin101.
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.