Verification CLT via Python3.14t on top of Arch Linux with CachyOS Kenel and Cosmic 1.0.10 preinstalled

The Central Limit Theorem (CLT) states that if you take sufficiently large random samples from any population(regardless of its distribution), the distribution of the sample means will approximate a normal distribution (a bell curve). As sample size increases, this normal distribution becomes more accurate, centered around the true population mean.