转自我曾经看过的一篇文章
其中之一是我对下层劳动人民的看法。很多人认为可怜之人必有可恨之处，我觉得是对这个世界太简单的解读。很多人都有可怜的时候，经常不是他们的过错，因果多有是颠倒的：正是因为他们倒霉在先，后来才容易做出错误选择，正如溺水的人乱抓救命稻草。一个人的生活越逼仄，他的选择就越难理性。这还不是我说的，有研究调查穷人的花钱方式，发现穷困影响人的判断力。
人的观点都来自于经历。很多时候，观点不同的人不是傻，而是人生经历和你不同。
A Radical Rethinking of the Way to Fight Global Poverty
by Abhijit V. Banerjee and Esther Duflo
Why would a man in Morocco who doesn’t have enough to eat buy a television?
Why is it so hard for children in poor areas to learn even when they attend school?
Why do the poorest people in the Indian state of Maharashtra spend 7 percent of their food budget on sugar?
Does having lots of children actually make you poorer?
For more than fifteen years Abhijit V. Banerjee and Esther Duflo have worked with the poor in dozens of countries spanning five continents, trying to understand the specific problems that come with poverty and to find proven solutions. Their book is radical in its rethinking of the economics of poverty, but also entirely practical in the suggestions it offers. Through a careful analysis of a very rich body of evidence, including the hundreds of randomized control trials that Banerjee and Duflo’s lab has pioneered, they show why the poor, despite having the same desires and abilities as anyone else, end up with entirely different lives. Through their work, Banerjee and Duflo look at some of the most surprising facets of poverty: why the poor need to borrow in order to save, why they miss out on free life-saving immunizations but pay for drugs that they do not need, why they start many businesses but do not grow any of them, and many other puzzling facts about living with less than 99 cents per day. POOR ECONOMICS argues that so much of anti-poverty policy has failed over the years because of an inadequate understanding of poverty. The battle against poverty can be won, but it will take patience, careful thinking and a willingness to learn from evidence. Banerjee and Duflo are practical visionaries whose meticulous work offers transformative potential for poor people anywhere, and is a vital guide to policy makers, philanthropists, activists and anyone else who cares about building a world without poverty.
信息差才是不平等的根源。
底下推荐栏目去年这个时候有个人跟你一样纠结
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谢谢鼓励
硬实力足够强干啥都行。0 publication 也能申到 phd。如果在考研和工作这两个上面权衡，我想说考研完全是浪费时间。假如你有能过初试复试的水平，你不可能找不到工作。
如果想打工可以先找找暑期实习试试，找不到在考虑读研的事
好的，我先努力找工作试试
可以找找门友内推
时代不一样了。我听说现在 AI 方向的 phd 申请能叫上名的学校起码要求一篇会议论文。
我有一个猜想：其实不是有了论文才能申到，而是因为 US PhD 普遍认 connection，但同样都是找教授刷 connection，ai 实验周期短、内容简单，比 cs 其他领域的更早出成果，所以结果上来看同批入学的 ai 领域 pub 更多，其实科研经验是类似的
我听说 AI 班人手一篇顶会一作。好厉害
而我搞所谓的创新，其实没一点用。
主要是考研和找工作的技能点完全正交，大家对考试更有把握，还有一大堆讲座和朋友一起。找工作未知性太大，又没有战友
某些厂的笔试面试题根本就是考研题改一改。考研初试=找工笔试填空题，复试=代码题 + 面试题。