Despite millennia of successful biological reproduction, the daily execution of child-rearing remains notoriously fraught and highly resistant to optimization. Societyfrequently attributes parental burnout and daily perceived failures in parenting tasks topsychological shortcomings, a lack of patience, or organizational failure. In this paper,we propose a mathematically rigorous defense of the exhausted parent by modelingroutine domestic tasks as formal decision problems. We demonstrate that the pursuit of“Optimal Parenting” (OP) is fundamentally intractable (assuming P ≠ NP). Byperforming polynomial-time reductions from classic NP-complete problems—specifically 0-1 Integer Linear Programming, Maximum Independent Set, and MAX-3-SAT—to simplified models of moral development, contradictory behavioral curricula,and developmental milestones, we prove that OP is strictly NP-hard. Consequently, weestablish that finding a perfect, conflict-free parenting strategy requires non-deterministic polynomial time, vastly exceeding the processing capabilities of anybiological parent. Our results mathematically absolve caregivers of domestic guilt andformally validate constraint relaxation (colloquially known as “lowering expectations”,or simply “doing one’s best”) as a necessary and optimal heuristic for surviving acomputationally hostile environment.