A partial consequence account of truthlikeness

Popper\u2019s original definition of truthlikeness relied on a central insight: that truthlikeness combines truth and information, in the sense that a proposition is closer to the truth the more true consequences and the less false consequences it entails. As intuitively compelling as this definition may be, it is untenable, as proved long ago; still, one can arguably rely on Popper\u2019s intuition to provide an adequate account of truthlikeness. To this aim, we mobilize some classical work on partial entailment in defining a new measure of truthlikeness which satisfies a number of desiderata. The resulting account has some interesting and surprising connections with other accounts on the market, thus shedding new light on current attempts of systematizing different approaches to verisimilitude

Verisimilitude, cross classification and prediction logic. Approaching the statistical truth by falsified qualitative theories

Verisimilitude, Statistics, Cross classification, Prediction logic, Qualitative theories, Non-falsificationist methodologies, Popper, Lakatos,