This is the controversial view of Judea Pearl and Dana Mackenzie expressed in “Mind over Data”—the lead article in the August issue of Significance. In this excerpt from The Book of Why these co-authors explain “how the founders of modern statistics ‘squandered’ the chance to establish the science of causal inference”. They warn against “falsely believing the answers to all scientific questions reside in the data, to be unveiled through clever data-mining tricks.”
“Lucky is he who has been able to understand the cause of things.”
– Virgil (29 BC)
Pearl and Mackenzie are optimistic that the current “Causal Revolution” will lead to far greater understanding of underlying mechanisms. However, by my reckoning, randomized controlled trials remain the gold standard for establishing cause and effect relationships. Only then can the data speak loud and clear.