The speaker thinks current methods are not designed to ensure a minimum probability of correctness in every state.

“Uh like in every state there is a minimal probability of being correct. Because then you can start doing things like effectively uh like effectively you can throw a common filter against this and do like multiple measurements and actually get the right results. If you have fif percent accuracy and do f whatever many measurements, you co you drop your accuracy uh like you you drop your probability of error very quickly. And I think that right now all of these methods are not set up like this. I think they are set up”