Normal distributions have been typically assumed in experimental measurements and calculations of binding free energies. The assumptions are commonly made for the true ∆Gbinding for a large number of compounds, for the experimentally determined and computationally predicted ∆Gbinding for a given compound, as well as for the relative binding free energies ∆∆Gbinding. The normal distributions are characterised by an average µ and a standard deviation s. Although the presence of uncertainties is known to the scientific community broadly, they are still "known unknowns": in many cases we do not know the order of magnitude of the various uncertainties, the sources and the consequences of them, not to mention how to reduce them. It is important to describe the free energy distributions carefully as many statistical analyses are based on it. The most important assumption in regression dilution , for example, is that all the variables under consideration are normally distributed. If this is not the case, regression dilution may not be applied.