stats-3
Explanation
A scientist at a computer tells a colleague: "Wait! Look, if we change our hypothesis a little, run this other model, and then make a few tweaks to the variables... bam! No need to publish. The weekend is free."
The caption reads: "New scientific trend: reverse p-hacking."
The joke plays on the concept of "p-hacking" (also known as data dredging), a well-known problem in scientific research where researchers manipulate their data analysis -- trying different statistical models, tweaking variables, removing outliers, or running many tests -- until they get a statistically significant result (a p-value below 0.05) that they can publish. This practice inflates false positive rates and is a major contributor to the replication crisis in science.
The comic inverts this concept: instead of torturing the data to find a publishable result, the scientist is torturing the data to make the result go away, so they don't have to bother writing a paper and can enjoy their weekend instead. This is "reverse p-hacking" -- using the same dubious methodological flexibility, but in the opposite direction, motivated not by the pressure to publish but by sheer laziness.
The humor comes from the absurd but relatable motivation. The "publish or perish" culture in academia is well documented, but the comic suggests that some scientists might be so burned out that they'd rather hack their way out of having results than hack their way into them. It also subtly comments on how easy it is to make statistical results appear or disappear through methodological choices, highlighting the fragility of many published findings.