As the $W$ matrix entries follow a multivariate normal distribution, then the probability that this matrix is singular is zero. 

That makes the matrix full rank, implying that $W^\dagger = W^{-1}$. That makes the last distance be zero: $|\mu- WW^\dagger\mu| = |\mu - I\mu| = 0$.