ZeroHedge’s post on the apparent breakdown of Okun’s “Law” highlights the ongoing tragicomedy of how the science of central economic planning eventually confounds, and then consumes itself. Economics is, after all, a social “science”, an elaborate study of human beings and, most importantly, human interactions. Robert Okun, for his part, merely observed in 1962 that when “output” (whatever statistical measure is en vogue) rises by 3%, the unemployment rate seems to fall by 1%. For some reason, economics assumes that if it is true in the past, it will be true forever, so it was written into the canon of orthodox economic practice. Economics has inferred causation into that relationship, giving it a layer of permanence that may not be warranted. Econometrics has always had this inherent flaw. The science of modern economics makes assumptions based on certain data, and then extrapolates them as if these assumptions will always and everywhere be valid. There is this non-trivial postulation that correlation equals causation. In the case of Okun’s Law, it seems fully logical that there might be causation since it makes intuitive sense – more economic activity should probably lead to more jobs, and vice versa. But to assume a two-variable approach to something that should be far more complex is more than just dangerous, it is unscientific. In fact, Okun’s Law has already been adjusted somewhat, most famously by Ben Bernanke and Andrew Abel in their 1991 book. It was upgraded to a 2% change in output corresponding with a 1% inverse change in unemployment. Apparently with the economic “success” of that period, Okun needed a re-calibration.