A new theoretical framework challenges the binary debate between objective simplicity priors and preference-based caring measures. This approach addresses how AI systems assign probability to possible realities. It seeks to resolve counterintuitive outcomes found in Tegmark's simplicity model. Practitioners should monitor this as it informs how future superintelligent agents value human existence.