 A host of issues remain in this area. One is whether or not we should demand a uniquely ‘correct’ answer to the question of what count as ‘normal’ or ‘default’ values of variables in the first place; perhaps, if for example there are different dimensions of ‘normality’ (statistical likelihood, consonance with moral or legal norms, etc.), we should embrace the idea that two apt models of the very same situation might deliver different and equally correct results, depending on how the normal or default values are set – which in turn would depend on the context (e.g. the purpose for which the model is being deployed).