P-hacking refers to the practice of manipulating scientific data so that the results appear to be statistically significant.

 “P值黑客”是指操作科学数据，从而使结果看上去具有统计学意义的行为。

这个词最早由宾夕法尼亚大学的西蒙松教授提出，一起来看看他是怎么说的：

Professor Uri Simonsohn of UPenn discussed what he refers to as "p-hacking." P-hacking is the idea that if researchers are engaging in questionable analysis practices, then they should have a disproportionate number of findings at or close to the p < .05 threshold for statistical significance, and that this can be relatively easy to detect.

 宾夕法尼亚大学西蒙松教授谈到他所指的P值黑客。P值黑客是指如果研究人员采用的分析方法可疑，那么他们应当有一个不成比例的P值数据结果等于或接近p<0.05这个统计学意义阀值，而这也相对很容易被发现。