Reflections on uncertainty and errors

Abstract

It is argued that errors in experiments wholely attributable to measurements are based largely on views of classical physics. The statistical interpretation of systems requires a generalization of error concepts such as are proposed here for Gaussian and other experimental valuable distributions. It is concluded that the acceptability of theories is conditioned by uncertainties in measurements, and consensus is required to set values for error limits.