SCTR7: Data Science and Analytics

As a companion to my recent post “Correlation versus Causation: The Science, Art, and Magic of Experimental Design”, I wanted to offer a more technical exposition concerning data science approaches to focused causal model development. A fundamental question faced by business analytics professionals and data scientists is whether they have a working correlative and causal […]

Recently I was chastised for being ‘unnecessarily obscure’ for reacting to a specious conclusion by suggesting that it risked ‘conflating correlation with causation’. Guilty as charged!  I apologize:  the expression is quite a mouthful and requires unraveling for those unfamiliar with the nuances of the applied experimental method.  However, I feel passionately that this concept […]