Is data science a new paradigm, or recycled material?

Data science is the result of a new paradigm taking place in IT. The question was raised recently, and here I explain how and why data science is part of this new paradigm, and not recycled material. Many data science techniques are very different, if not the opposite of old techniques that were designed to be implemented on abacus, rather than computers. These new tools are often model-free. Indeed, old techniques such as logistic regression and classification trees don't even belong to data science, more stable techniques are used in data science.