Supporters of the autonomy of higher-level causation (or explanation) often appeal to proportionality, arguing that higher-level causes are more proportional than their lower-level realizers. Recently, measures based on information theory and causal modeling have been proposed that allow one to shed new light on proportionality and the related notion of specificity. In this paper we apply ideas from this literature to the issue of higher vs. lower-level causation (and explanation). Surprisingly, proportionality turns out to be irrelevant for the question of (...) whether higher-level causes (or explanations) can be autonomous; specificity is a much more informative notion for this purpose. (shrink)

The levels of selection debate is generally taken to be a debate about how natural selection can occur at the various levels of biological organization. In this paper, we argue that questions about levels of selection should be analyzed separately from questions about levels of organization. In the deflationary proposal we defend, all that is necessary for multilevel selection is that there are cases in which particles are nested in collectives, and that both the collectives and the particles that compose (...) them each separately undergo natural selection. We argue that adopting this deflationary account helps to disentangle the levels of selection and the levels of organization, and thereby contributes to advancing the levels of selection debate. (shrink)

Psychological measurement has received strong criticism throughout the history of psychological science. Nevertheless, measurements of attributes such as emotions or intelligence continue to be widely used in research and society. I address this puzzle by presenting a new causal perspective to psychological measurement. I start with assumptions that both critics and proponents of psychological measurement are likely to accept: a minimal causal condition and the observation that most psychological concepts are ill-defined or ambiguous. Based on this, I argue that psychological (...) measurement is fundamentally different from measurement in the physical sciences but can nevertheless be useful. (shrink)