P-hacking refers to the practice of manipulating scientific data so that the results appear to be statistically² 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 questionable³ analysis practices, then they should have a disproportionate number of findings at or close to the p < .05 threshold for statistical¹ significance, and that this can be relatively⁴ 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。

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