$Var(\tilde{\theta}) \leq Var(\hat{\theta})$.

$\tilde{\theta}$ is always a biased estimator.

$\tilde{\theta}$ depends on the unknown parameter $\theta$.

$\tilde{\theta}$ has a larger mean squared error than $\hat{\theta}$.