Cribsheet 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Cribsheet

简体网页||繁体网页
Emily Oster 作者
Penguin Press
译者
2019-4-23 出版日期
352 页数
USD 28.00 价格
Hardcover
丛书系列
9780525559252 图书编码

Cribsheet 在线电子书 图书标签: 育儿  parenting  现代育儿宝典  nonfiction  Education  英文  科普  英文原版   


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发表于2024-11-23


Cribsheet 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Cribsheet 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Cribsheet 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Cribsheet 在线电子书 用户评价

评分

一本声称要通过经济学的决策训练,让人知其然还知其所以然的书。主要方法是收集数据,分析重点,根据自己具体情况进行决策。看的过程中难免浮起一个疑问:难道,除了经济学家妈妈,其他父母不也正是这么做的吗?不过是收集“数据”的方式不同,“数据”的即时性、有效性不同罢了。真正的缺环还是在如何对比甄别抓住重点那一环,具体到这一环,不太能看出这本书与其他育儿书的区别。比如同样讨论睡训,其他睡训书的数据、实验、图表也很多啊,儿科协会育儿百科也在与时俱进地更新啊,我刚好在这个问题上纠结过,作为一个普通妈妈跟她的思路没啥区别啊。给这本书戴上经济学的帽子有点言过其实。总之,这本书对新手父母还是很实用的,相当于N本育儿书的集锦,每个问题还总结了几条the bottom life,但也就是一本集锦了。

评分

实用,但是最后几章实在是数据不够写得好仓促

评分

两个大感悟:1. 对自己好就是对宝宝好; 2. 育儿是个难题,只能摸着石头过河。

评分

不愧是经济学家写的育儿书,摆数据讲道理,以数据为基础分析各项问题或者具有争议之事的优劣等等。并不指导你如何带娃,而是讲明决策因子和决策框架,毕竟”The data is the same for us all, but the decisions are yours alone. “

评分

实用,但是最后几章实在是数据不够写得好仓促

Cribsheet 在线电子书 著者简介

Emily Oster is a professor of economics at Brown University and the author of Expecting Better: Why the Conventional Pregnancy Wisdom is Wrong--and What You Really Need to Know. She was a speaker at the 2007 TED conference and her work has been featured in The New York Times, The Wall Street Journal, Forbes, and Esquire. Oster is married to economist Jesse Shapiro and is also the daughter of two economists. She has two children.


Cribsheet 在线电子书 图书目录


Cribsheet 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Cribsheet 在线电子书 图书描述

With Expecting Better, award-winning economist Emily Oster spotted a need in the pregnancy market for advice that gave women the information they needed to make the best decision for their own pregnancies. By digging into the data, Oster found that much of the conventional pregnancy wisdom was wrong. In Cribsheet, she now tackles an even greater challenge: decision-making in the early years of parenting.

As any new parent knows, there is an abundance of often-conflicting advice hurled at you from doctors, family, friends, and strangers on the internet. From the earliest days, parents get the message that they must make certain choices around feeding, sleep, and schedule or all will be lost. There's a rule—or three—for everything. But the benefits of these choices can be overstated, and the trade-offs can be profound. How do you make your own best decision?

Armed with the data, Oster finds that the conventional wisdom doesn't always hold up. She debunks myths around breastfeeding (not a panacea), sleep training (not so bad!), potty training (wait until they're ready or possibly bribe with M&Ms), language acquisition (early talkers aren't necessarily geniuses), and many other topics. She also shows parents how to think through freighted questions like if and how to go back to work, how to think about toddler discipline, and how to have a relationship and parent at the same time.

Economics is the science of decision-making, and CRIBSHEET is a thinking parent's guide to the chaos and frequent misinformation of the early years. Emily Oster is a trained expert—and mom of two—who can empower us to make better, less fraught decisions—and stay sane in the years before preschool.

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Cribsheet 在线电子书 读后感

评分

孕期13周,把Emily Oster的两本书都读完了。本来想把这一本留到30周这样再读,但是现在也要开始考虑childcare之类的东西,于是就一口气读完了。和她的第一本书相比,这一本实在的数据少了一些,因为本来教育这一块的东西outcome measurement就很难搞,研究结论variation也很大...

评分

孕期13周,把Emily Oster的两本书都读完了。本来想把这一本留到30周这样再读,但是现在也要开始考虑childcare之类的东西,于是就一口气读完了。和她的第一本书相比,这一本实在的数据少了一些,因为本来教育这一块的东西outcome measurement就很难搞,研究结论variation也很大...

评分

孕期13周,把Emily Oster的两本书都读完了。本来想把这一本留到30周这样再读,但是现在也要开始考虑childcare之类的东西,于是就一口气读完了。和她的第一本书相比,这一本实在的数据少了一些,因为本来教育这一块的东西outcome measurement就很难搞,研究结论variation也很大...

评分

孕期13周,把Emily Oster的两本书都读完了。本来想把这一本留到30周这样再读,但是现在也要开始考虑childcare之类的东西,于是就一口气读完了。和她的第一本书相比,这一本实在的数据少了一些,因为本来教育这一块的东西outcome measurement就很难搞,研究结论variation也很大...

评分

孕期13周,把Emily Oster的两本书都读完了。本来想把这一本留到30周这样再读,但是现在也要开始考虑childcare之类的东西,于是就一口气读完了。和她的第一本书相比,这一本实在的数据少了一些,因为本来教育这一块的东西outcome measurement就很难搞,研究结论variation也很大...

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