RS rushos · Readingrushos · 双语精读

rushos · Readingrushos · 双语精读

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不断扩充的中英双语精读合集。点击任意合集即可展开 / 收起。

lesswrong - The Sequences 50 essays50 篇

Map and Territory

#01
The Lens That Sees Its Flaws
能看见自身缺陷的透镜
Your brain is a flawed lens — but unlike a mouse's, it can see its own flaws and correct for them.
你的大脑是一面有缺陷的透镜——但与老鼠不同,它能看见自身的缺陷并加以修正。
#02
What Do We Mean By "Rationality"?
我们所说的「理性」是什么意思?
Rationality is two things: forming accurate beliefs and making decisions that help you win — both grounded in math, not personality.
理性是两件事:形成准确的信念,以及做出帮助你「赢」的决策——两者都以数学为基础,而非个性风格。
#03
Humans are not automatically strategic
人类并非天生就懂得谋略
Most ways of pursuing a goal are ineffective — and no evolutionary or cultural force automatically points us toward the few that work.
追求目标的大多数方式都极为低效——而没有任何进化或文化力量自动将我们引向那少数真正有效的路径。
#04
Use the Try Harder, Luke
用「更努力」这个原力,卢克
Five minutes of genuine effort — not just trying — separates heroes from quitters, and most people never even try.
五分钟的真实努力——而非「试一试」——才是英雄与放弃者的分水岭;而大多数人甚至根本没有尝试过。
#05
Your Strength as a Rationalist
理性主义者的力量所在
Your rationalist strength is being more confused by fiction than by reality — if you can explain anything equally well, you know nothing.
理性主义者的力量,在于对虚构比对现实感到更困惑——若你对任何结果都能等量齐观地解释,你便一无所知。
#06
The Meditation on Curiosity
关于好奇心的沉思
Duty-driven investigation is counterfeit curiosity — genuine inquiry means being as ready to drop a belief as to keep it.
出于义务的调查不过是好奇心的赝品——真正的探究意味着你随时愿意放弃一个信念,也随时愿意坚守它。
#07
The Importance of Saying "Oops"
学会说「哎呀,我错了」的重要性
A single fearless "Oops" beats a thousand grudging millimeter-concessions — big mistakes demand big acknowledgments.
一声无畏的「哎呀,我错了」胜过千次勉强的毫米级退让——大错误需要大承认。
#08
The Martial Art of Rationality
理性的武道
Rationality is a martial art for the mind — learnable, trainable, and newly within reach thanks to modern science.
理性是心智的武道——可学、可练,而现代科学正让它第一次真正触手可及。
#09
Twelve Virtues of Rationality
理性的十二种美德
Rationality is not a creed to profess but twelve lived virtues — ending in a nameless one that underlies them all.
理性不是要宣誓的信条,而是十二种活生生的美德——最后以一种无名的美德统摄一切。

How To Actually Change Your Mind

#10
The Bottom Line
底线
Writing the conclusion first poisons every argument that follows — your reasoning is only as honest as the algorithm that chose what to conclude.
先写结论会毒化此后的每一条论证——你的推理只与选择结论的那个算法一样诚实。
#11
Rationalization
合理化
Rationalization is not rationality run backwards — it is rationality's algorithmic opposite, a cognitive black hole that fixes conclusions and selects evidence to match.
「合理化」并非反向运行的理性——它是理性在算法上的对立面,一个固定结论、反向筛选证据的认知黑洞。
#12
You Can Face Reality
你可以直面现实
Reality is already here — owning it doesn't make it worse, and hiding from it doesn't make it go away.
现实已然如此——承认它不会让它更糟,逃避它也不会让它消失。
#13
Is That Your True Rejection?
那是你真正的拒绝理由吗?
The reason you give for rejecting an idea is rarely the actual cause — find the true rejection, or you will never resolve the real disagreement.
你给出的拒绝理由,很少是真正的原因——找到真实的拒绝,否则你永远无法化解真正的分歧。
#14
Avoiding Your Belief's Real Weak Points
回避信念真正的薄弱之处
We instinctively attack only the strong points of our beliefs — the parts we already know how to defend.
我们本能地只攻击自己信念中最坚固的部分——那些我们已经知道如何辩护的地方。
#15
Belief as Attire
信念即服饰
Tribal identity -- not genuine anticipation -- is what drives the passionate defence of many deeply held beliefs.
驱动许多「深信不疑」之信念的,是部落认同感,而非真正的预期控制。
#16
Cached Thoughts
缓存的思想
Most of your thinking is just pattern-completion on stored conclusions — and that cached answer may not be yours.
你的大多数思考不过是对存储结论的模式补全——而那个缓存答案,未必是你自己的。
#17
The Fallacy of Gray
灰色谬误
Acknowledging that nothing is pure black or white does not license treating all shades of gray as identical.
承认世界非黑即白固然幼稚,但由此断定所有灰色深浅相同,同样是一种谬误。
#18
Lonely Dissent
孤独的异见
Joining a rebellion takes courage, but being the first to rebel — when no one else understands why — takes a wholly different, rarer kind.
加入一场反叛需要勇气,但第一个站出来反叛——在没有人理解你为什么的时候——需要的是一种完全不同、更为罕见的勇气。
#19
Positive Bias: Look Into the Dark
正向偏差:看向黑暗
We instinctively test what we think is true — but the real test is hunting for what would prove us wrong.
我们本能地验证我们认为正确的东西——但真正的测试是主动寻找能证明我们错误的东西。
#20
Knowing About Biases Can Hurt People
了解偏差也可能伤害人
Learning about cognitive biases can backfire — giving clever minds more ammunition for motivated skepticism instead of honest updating.
了解认知偏差可能适得其反——它给聪明的头脑提供了更多「动机性怀疑」的弹药,而非促进诚实的信念更新。
#21
Politics is the Mind-Killer
政治是思维杀手
Political arguments hijack our tribal instincts and turn even scientists into slogan-chanting soldiers.
政治论证劫持了我们的部落本能,把科学家也变成了高喊口号的士兵。

Mysterious Answers

#22
Making Beliefs Pay Rent (in Anticipated Experiences)
让信念缴租(以预期经验为货币)
A belief that predicts nothing about your experiences is not a belief — it is a label floating free of reality.
一个对你的经验毫无预测的信念不是真正的信念——它只是一个脱离现实漂浮的标签。
#23
What is Evidence?
何为证据?
Evidence is a physical event causally entangled with reality — and a belief that cannot be moved by evidence is not a belief at all.
证据是与现实因果纠缠的物理事件——一个无法被证据撼动的信念,根本算不上信念。
#24
Scientific Evidence, Legal Evidence, Rational Evidence
科学证据、法律证据、理性证据
Not all rational evidence qualifies as legal or scientific evidence — and understanding why reveals how social epistemic standards work.
并非所有理性证据都符合法律或科学证据的标准——理解其中原因,揭示了社会认知标准的运作方式。
#25
How Much Evidence Does It Take?
需要多少证据才够?
Belief is not free — the more improbable the hypothesis, the more evidence you need to earn it.
信念不是免费的——假设越不可能,你就需要越多的证据来赢得它。
#26
Absence of Evidence Is Evidence of Absence
缺乏证据即为反对证据
Not seeing evidence of X is itself evidence against X — probability theory demands it.
没有看到 X 的证据,本身就是反对 X 的证据——概率论如此要求。
#27
Conservation of Expected Evidence
预期证据守恒
You can't rig probability in your favor — for every expected piece of confirming evidence, there must be an equal and opposite expectation of disconfirming evidence.
你无法操控概率——对每一份预期中的确证证据,必然存在一份等量而相反的预期否证证据。
#28
Argument Screens Off Authority
论据屏蔽权威
When you have the full argument, expert authority adds almost nothing — probability theory explains why.
当你掌握完整论据时,专家权威几乎毫无额外价值——概率论解释了原因。
#29
An Intuitive Explanation of Bayes's Theorem
贝叶斯定理的直觉化解释
Probability isn't replaced by evidence — it's updated by it, and Bayes's Theorem is the exact rule for how.
概率不会被证据所取代——它被证据所更新,而贝叶斯定理正是这一更新的精确法则。
#30
The Second Law of Thermodynamics, and Engines of Cognition
热力学第二定律与认知引擎
Entropy isn't just physics -- forming accurate beliefs literally requires thermodynamic work, making rationality a physical process.
熵不仅仅是物理概念——形成准确信念在字面意义上需要热力学做功,这使理性成为一个物理过程。
#31
Toolbox-thinking and Law-thinking
工具箱式思维与规律式思维
Some truths are laws, not tools — and confusing the two is the deepest source of talking past each other in rationality debates.
有些真理是规律,而非工具——混淆两者,是理性论战中鸡同鸭讲的最深根源。
#32
Local Validity as a Key to Sanity and Civilization
局部有效性:通往理智与文明的关键
A good argument is locally valid at every step — just like a just law must apply equally to every side.
一个好的论证在每一步都是局部有效的——正如一部公正的法律必须对所有人一视同仁。

The Science of Winning at Life

Words and Concepts

#37
Taboo Your Words
给词语贴禁忌标签
When words obscure more than they reveal, ban the word and describe what you actually mean.
当词语掩盖的多于它揭示的,就禁掉这个词,直接描述你真正想表达的东西。
#38
Dissolving the Question
消解问题
The goal isn't to answer a confusing question — it's to trace the cognitive algorithm that generates the confusion in the first place.
目标不是回答一个令人困惑的问题——而是追溯最初产生这种困惑的认知算法。
#39
Diseased thinking: dissolving questions about disease
病态思维:消解关于「疾病」的问题
"Disease" is a cluster concept, not a bright line — stop debating what counts as disease and address sympathy, blame, and treatment directly.
「疾病」是一个聚类概念,而非明确界限——与其争论某事算不算疾病,不如直接讨论同情、责任与治疗本身。
#40
Hug the Query
紧贴问题本身
The closer your evidence is to the actual question, the more it is worth — so hug the query as tightly as you can.
你的证据越靠近真正的问题,价值越大——所以要尽可能紧贴问题本身。
#41
Say Not "Complexity"
勿言「复杂性」
Saying "complexity" doesn't concentrate your probability mass — it just skips over the mystery you need to confront.
说「复杂性」并不会集中你的概率质量——它只是跳过了你必须正视的谜团。
#42
Mind Projection Fallacy
心智投射谬误
We mistake our mind's properties for properties of the world — projecting inner representations outward as if they were objective facts.
我们把心智的属性误认为世界的属性——把内部表征向外投射,仿佛它们是客观事实。
#43
How An Algorithm Feels From Inside
算法从内部感觉如何
The leftover question after all facts are known is not a real question — it is the ghost of a neural categorization unit that has no factual referent.
在所有事实都已知之后仍然存在的「剩余问题」并非真实的问题——它只是神经分类单元缺乏事实指涉的幻影。
#44
Expecting Short Inferential Distances
预期过短的推理距离
We evolved to assume everyone shares our background knowledge — that assumption silently derails almost all expert communication.
我们进化出了一种默认假设:每个人都拥有与我们相同的背景知识——而这一假设悄然摧毁了几乎所有专家沟通。
#45
Illusion of Transparency: Why No One Understands You
透明幻觉:为何无人真正理解你
You always know what you meant — but your words are far more ambiguous than you think.
你永远知道自己的意思——但你的话语远比你以为的更模糊。

Values