I don’t think there are models without inbuild assumtions
A model is a simplified description of the world. It is a synonym of “map” (in the map vs territory sense).
Let’s say I sit by the window and count up the gender of people passing by. After some time I have X males, Y females, and Z undetermineds. My model is that the probability of a recognizeably-male passing by my window is X / (X + Y + Z). It’s a trivial model, but it’s still a model and I don’t see what in-built assumptions it comes with except for, as I mentioned before, the assumption of stability (aka that the past is relevant to the future).
Models exist to help us make sense of the world.
Some are. But others exist to make accurate forecasts and for them being “easy” is not a goal.
A model is a simplified description of the world. It is a synonym of “map” (in the map vs territory sense).
Let’s say I sit by the window and count up the gender of people passing by. After some time I have X males, Y females, and Z undetermineds. My model is that the probability of a recognizeably-male passing by my window is X / (X + Y + Z). It’s a trivial model, but it’s still a model and I don’t see what in-built assumptions it comes with except for, as I mentioned before, the assumption of stability (aka that the past is relevant to the future).
Some are. But others exist to make accurate forecasts and for them being “easy” is not a goal.