How Simpson’s Paradox Can Mislead Statistics

<p>If there is something I really hate hearing is the classical authority argument &ldquo;Statistics shows that *insert a fact here*&rdquo;.</p> <p>With the democratization of statistical tools and machine learning, it is easier than ever to crunch some numbers into insights. Still, everyone should pay attention about not fall into some very counterintuitive traps that can lead to bias studies made a bit too fast or without the view of an expert of the subject.</p> <p>In this article, we will take a deep dive into one classic statistical trap, namely&nbsp;<strong>Simpson&rsquo;s paradox&nbsp;</strong>that can lead to misinterpretation of a feature&rsquo;s interpretation in a model due to the presence of hidden correlated factors.</p> <p><a href="https://towardsdatascience.com/how-simpsons-paradox-can-mislead-statistics-f63d1c6a8e15"><strong>Website</strong></a></p>