因此我们常犯两类错误：第一类，是虚假的肯定，当原型并不存在时它认为原型是真的；第二类，是虚假的否定，当原型存在时它却认为原型是虚假的。
So we make two types of errors: a type I error, or false positive, is believing a pattern is real when it is not; a type II error, or false negative, is not believing a pattern is real when it is.
在亨廷顿的世界里，既不存在虚假的期望也没有补救的措施。
In the Huntingtonian world, there are no false hopes and no redemption.
要检验虚假设，需要知道在假设存在随机抽样可变性的情况下获得这么一个极限值的概率。
To test your null hypothesis, you want to know the probability of obtaining a value this extreme under the assumption that it is due to random sampling variability.
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