这不是一本教你'如何变得聪明'的智慧之书,而是一本教你如何'不要做傻事'的避坑指南。作者Bevelin把芒格的多元思维模型拆成一块块清单:心理学误判、系统思考、概率、原因与结果,每节末尾的'keep in mind'是留给读者的应用清单。它真正的价值不在观点的新颖,而在'把大道理变成可查用的清单'——适合第一次接触这类书、想系统建立思维框架的人;但对已读过大量同类作品、期待'新东西'的读者,它更像名人名言与心理学效应的精选集,浅显且缺乏启发性。换句话说:入门者得宝藏,老手嫌重复。它适合愿意反复阅读、边读边应用的人,不适合寻求颠覆性观点的读者。
AI导读
核心看点
融合多学科思维模型,从达尔文到芒格
深入剖析人类误判的心理与生理根源
提供避免决策错误的实用智慧清单
读者共识
被誉为芒格思维模式的精华浓缩版
引用丰富但被指缺乏深度原创见解
部分读者认为内容枯燥,阅读门槛高
精彩摘录
"This means that humans have spent more than 99% of their evolutionary history in the hunter gatherer environment."
"The strategy that is effective in the long run is a modern version of"a tooth for a tooth" or TIT-FOR-TAT. It says that we should cooperate at the first meeting and then do whatever our "opponent" did the last time."
"The reading of all good books is like conversation with the finest minds of past centuries. - 17th Century French philosopher Rene Descartes."
"If we encounter a stressful situation, how we respond depends on what we were born with, what we have experienced, and the specific situation."
"The connections in our brain are constantly strengthened and weakened, developing and changing. The more we are exposed to certain experiences, the more the specific connections are strengthened, and the better we learn and remember those experiences. We then use these stored representations of what"
"The forces that influence and set the limits for our judgements: 1. Genes 2. Life experiences 3. Present environment 4. Randomness"
"A list of reasons for misjudgments and mistakes 1. Bias from mere association - automatically connecting a stimulus with pain or pleasure; including liking or disliking something associated with something bad or good. Includes seeing situations as identical because they seem similar. Also bias from "
"Warren Buffett says on being informed of bad news: "We only give a couple of instructions to people when they go to work for us: One si to think like an owner. And the second is to tell us bad news immediately--because good news takes care of itself. We can take bad news, but we don't like it late.""
贴一个goodreads的评论: idk how a casual reader with no prior exposure to topics covered in the book would ingest the densely packed material but if you are an ardent reader in topics such as decision science, finance and probability this book is nothing but a collection of ideas from these areas.这本书帮我串联了很多知识,起到的更多是丰富知识框架的作用。