Simpson's paradox describes the situation in which a statistical evaluation of an entire population produces a different result than an analogous analysis of the individual subpopulations. For example, it may be the case that the average income in all educational levels of a population decreases, while the average income of the entire population increases.
So how exactly can this apparent contradiction be resolved? As a statistician and fan of data analysis, why do we have to deal with this at all? Where does this paradox occur in the real world and how can we avoid succumbing to this misleading intuition?
Our blogging statisticians Dr. Sascha Feth and Dr. Jochen Fiedler discuss all these questions with host Esther Packullat in the new podcast episode »Misleading Intuition in Statistics – the Simpson Paradox«. The team focuses on practical examples that bring the paradox and its meaning to life in practice. At the same time, they warn against superficial or even deliberately misleading analyses, as the paradox is also suitable for targeted manipulation. Because here, too, the following applies: don't trust any statistics that you don't...understand very well!