 For example, this measure deems \(h \amp r \amp w\) more truthlike than \(h \amp r\), and the latter more truthlike than \(h\). And in general min-sum-average delivers the value of content for truths. For any two truths the min factor is the same (0), and the sum factor increases as content decreases. Furthermore, unlike the symmetric difference measures, min-sum-average doesn’t deliver the objectionable value of contents for falsehoods. For example, \({\sim}h \amp{\sim}r \amp{\sim}w\) is deemed further from the truth than \({\sim}h\). But min-sum-average is not quite home free, at least from an intuitive point of view. For example, \({\sim}h \amp{\sim}r \amp{\sim}w\) is deemed closer to the truth than \({\sim}h \amp{\sim}r\). This is because what \({\sim}h \amp{\sim}r \amp{\sim}w\) loses in closeness to the actual world (min) it makes up for by an increase in strength (sum).