It is noted that while various values for the grace period were theorized to potentially lead to significant drops in difficulty, such outcomes are deemed highly unlikely when applying these theories in real-world scenarios. This suggests a gap between theoretical models and their practical applications, underscoring the importance of empirical validation when setting parameters like the grace period. The conversation implies that the actual impact of different grace period settings on difficulty levels needs careful examination beyond theoretical speculation to ensure optimal outcomes in practice.