  The main difficulty with the suggested generalisation to biased sequences lies in the simple fact that biased sequences, while they might reflect the probabilities in the process which produces them, simply don’t seem to be random in the sense of disorderly and incompressible. The generalisation above shows that we can define a notion of disorderliness that is relative to the probabilities underlying the sequence, but that is not intrinsic to the sequence itself independently of whatever measure we are considering. As Earman puts it (in slightly misleading terminology): 