Experimentalism and empiricism, corner stones of modern scientific exploration, have substantially dampened step-function changes in knowledge addition in almost every field. In economics, availability of metrics and statistics in abundance have kept academics, spending most of their careers proving the established theories. In Physics, the ability to generate data at will with heavy machines has kept any innate creativity bottled up. In life sciences, manufacturers, staffed with conventional statisticians and a regulatory regime with little understanding of risk management have assured that breakthrough drugs are yesterday’s story.
It is a perfect storm. As a vanishing generation, steeped in qualitative and non-scientific processes of information gathering is bombarded by another, trained to see and analyze data, we are left with little hope to advance knowledge. For the former, data do not matter and for the latter, it appears, only data matter. Neither can be further from the truth. From a societal perspective, one has to worry less about the former as they are checking out from the ecosystem. But, it is problematic to see educational systems, world-over are catering to processes that start from data and not knowledge. The implicit assumption of modern science, that experimentalism and associated empiricism are necessary conditions for the creation and establishment of theories, is fundamentally incorrect.
If we create a society, enslaved to data and thus prone to considering experimentalism and empiricism as the primary tools to generate and advance knowledge, we are doomed.