In a study involving a non-regular distribution where the support of the density $f(x|\theta)$ depends on the parameter $\theta$, such as $X_i \sim \text{Uniform}(\theta, \theta + 1)$, why does the standard Cramer-Rao Lower Bound (CRLB) fail to provide a meaningful limit for the variance of the Maximum Likelihood Estimator?