in this post and this one I described a couple of nice examples of correlation vs. causation cognitive biases. There are litterally hundreds out there that can be added. By doing a little search i came across a few nice examples using charts, here is a collection of my faourite […]
When analyzing a dataset sometimes we are working with data that does not represent the reality but it’s the result of a seleciton. This means that the seleciton made before the analysis is already creating a data bias. For example if we work with panel data we must make sure […]
“if you torture the data long enough, it will confess to anything”. Ronald H. Coase, British Economist When working with a big dataset it’s easy to fall into the confirmation bias. We are looking for some insights, and usually what happens is that even before looking at the data we […]
In Turin there is an ancient church named Santuario della Consolata (its full name is “Chiesa di Santa Maria della Consolazione”), it’s origin dates back to the XVII century. The interior is very rich, with gold inlays everywhere on the walls and arches, and wonderful frescoes surrounded by pink carrara […]
So after reading the Bananas Diet post we are now familiar with the causality bias concept. Another example of causailty bias i came across a few years ago for the first time is the black car crashes one. Articles like this one show that based on data anyone can conduct […]
What does Bananas and Black cars have in common? why correlation does not imply causality?
What’s a data bias? Why one of the most common one is called “survivor bias”? what’s a romanic bridge? And what does it have to do with WWII allies planes?