Donny and Danny: Variance’s Hidden Rule in Probability
The memoryless property lies at the heart of probabilistic modeling, especially in Markov chains, where future states depend only on the present, not on the path taken. In such systems, uncertainty evolves without carryover of past influence—a principle vital for understanding variance stability over time. This foundational idea reveals why certain limits, like √2, emerge…
