Accurate, unsupervised AI whole pattern refinement of diffraction patterns is an important goal for the development of closed loop automated synthetic laboratories. While the ability to quantitatively measure the goodness of fit of a model to the data appears very attractive from the point of view of automation, it is vital to realise that no value of R w p or χ 2 alone can ever be a sufficient to conclude that a model is even approximately correct.