We come back on two criticisms addressed to the "Fuzzy-Logical Model of Perception" (FLMP): its assumed ability to fit any data, and the choice of a "fitting all" procedure rather than a "predicting AV from A and V" approach. We confirm the FLMP ability to fit random data in the "McGurk region", that is in all conditions including conflicting stimuli, thanks to the "0/0 trick". This is associated to a high instability of the rmse value in the optimal region. Then we introduce a Bayesian approach replacing fit by global likelihood. In this sounder framework, rmse instabilities decrease likelihood, hence the 0/0 trick is problematic for the FLMP. We conclude by indicating when the FLMP can be used in sound conditions: apart from the "McGurk" region.