The Hidden Math of Randomness: Understanding Entropy Through Chance
Entropy is the cornerstone of understanding randomness—not as mere chaos, but as a measurable degree of uncertainty in a system. At its core, entropy quantifies how unpredictable outcomes become, distinguishing order from disorder. Systems with low entropy exhibit strong predictability, where events follow clear patterns, while high entropy reflects maximal uncertainty, where outcomes diverge unpredictably. […]