For a class of non-uniformly ergodic Markov chains (X _n ) satisfying exponential or polynomial beta-mixing, under observations (Y _n ) subject to an IID noise with a positive density, it is shown that wrong initial data is forgotten in the mean total variation topology, with a certain exponential or polynomial rate.