Let X be an infinite sequence of 0's and 1's. Let f be a computable function. Recall that X is strongly f -random if and only if the a priori Kolmogorov complexity of each finite initial segment τ of X is bounded below by f (τ ) minus a constant. We study the problem of finding a PAcomplete Turing oracle which preserves the strong f -randomness of X while avoiding a Turing cone. In the context of this problem, we prove that the cones which cannot always be avoided are precisely the K-trivial ones. We also prove: (1) If f is convex and X is strongly f -random and Y is Martin-Löf random relative to X, then X is strongly f -random relative to Y . (2) X is complex relative to some oracle if and only if X is random with respect to some continuous probability measure.