 The likelihood inequality \(\eqref{likelihoods}\) on which the fine-tuning argument for design rests is based on the assumption that, reasonably, \(P(R\mid \neg D)\) is very small because life-friendly conditions are improbable if there is no designer. This assumption can be challenged, as already discussed in  2.1.  But the likelihood inequality \(\eqref{likelihoods}\) also rests on the assumption that \(P(R\mid D)\) is comparatively large, i.e., on the view that, if there is indeed a designer, life-friendly conditions are more to be expected than if there is no designer. This assumption can be challenged as well.