Super-diffusive mixing in geophysics occurs in atmospheric turbulence, near surface currents in oceans, and macro-pore flow in the subsurface to name three of many areas. Models of super-diffusion have been around for almost a century, yet here we put forth a new perspective on the topic which clarifies and substantially expands on classical approaches. Eighty years after it was introduced, we trivially derive Richardson's scaling law for atmospheric super-diffusion, where the mean square separation of two tracer particles goes as t3, by assuming the Lagrangian velocity can be represented as a Brownian process. Next we generalize in the spirit of Mandelbrot's intermittency to other types of flows by employing Lagrangian velocities represented as α-stable L¿vy processes. For a specific flow field, we show how to obtain the stability parameter, α, from tracer experiments and the finite-size Lyapunov exponent.