Could one argue the tuning by the programmer incorporates the relevant aspects of the model? (Which is what I think commenter meant by "implicit.") In my mom's old van, going down a steep hill would mess up the cruise control: as you say, if you push hard enough, you can over come a control loop's programming. So a guess as to relation to Bayescraft: certain real world scenarios operate within a narrow enough set of parameters enough of the time that one can design feedback loops that do not update based on all evidence and still work well enough.