False negative error 假阴性错误
In contrast, if he infers that she is not interested when she is in fact interested, then he has made an error of false negative (what the statisticians call the "Type II" error).
相反，如果他推断，她不感兴趣，而实际上她感兴趣，那么他犯了假阴性的错误(统计学家称为“第二类”错误)。
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.
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。
The consequence of a false-negative error is that you and your entire family are dead when the alarm fails to go off when there is a fire.
一个假阴性错误的后果是，夜里着火了， 警报不响，全家都被烧死了，或者烧的焦头烂额。
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