Philosophical work on values in science is held back by widespread ambiguity about how values bear on sci entific choices. Here, I disambiguate several ways in which a choice can be value-laden and show that this disambiguation has the potential to solve and dissolve philosophical problems about values in science. First, I characterize four ways in which values relate to choices: values can motivate, justify, cause, or be impacted by the choices we make. Next, I put my proposed taxonomy to (...) work, using it to clarify one version of the argument from inductive risk. The claim that non-epistemic values must play a role in scientific choices that run inductive risk makes most sense as a claim about values being needed to justify such choices. The argument from inductive risk is not unique: many philosophical arguments about values in science can be more clearly understood and assessed by paying close attention to how values and choices are related. (shrink)

The epistemic attitudes of scientists, such as epistemic tolerance and authoritarianism, play important roles in the discourse about rivaling theories. Epistemic tolerance stands for the mental attitude of an epistemic agent, e.g., a scientist, who is open to opposing views, while epistemic authoritarianism represents the tendency to uncritically accept views of authorities. Another relevant epistemic factor when it comes to the epistemic decisions of scientists is the skepticism towards the scientific method. However, the question is whether these epistemic attitudes are (...) influenced by their sociopolitical counterparts, such as the researcher’s degree of conservatism. To empirically investigate the interplay between epistemic and sociopolitical attitudes of scientists, we conducted a survey with researchers (N = 655) across different disciplines. We propose scales for measuring epistemic tolerance and epistemic authoritarianism, as well as a scale for detecting the participants' readiness to question the scientific method. Furthermore, we investigate the relationship between epistemic tolerance and epistemic authoritarianism on the one hand, and career stage and sociopolitical views on the other hand. Interestingly, our study found only small correlations between the participants' degree of conservatism and their epistemic attitudes. This suggests that political views, against common argumentation, actually do not play an important role in one’s scientific decisions. Moreover, social scientists scored higher on the epistemic tolerance and lower on the epistemic authoritarianism scale than natural scientists. Finally, the results indicate that natural scientists question the scientific method less than social scientists. (shrink)

The public and scholars alike largely consider envy to be reprehensible. This judgment of the value of envy commonly results either from a limited understanding of the nature of envy or from a limited understanding of how to determine the value of phenomena. Overcoming this state requires an interdisciplinary collaboration of psychologists and philosophers. That is, broad empirical evidence regarding the nature of envy generated in psychological studies must inform judgments about the value of envy according to sophisticated philosophical standards. (...) We conducted such a collaboration. Empirical research indicates that envy is constituted by multiple components which in turn predict diverse outcomes that may be functional for the self and society. Accordingly, the value of envy is similarly nuanced. Sometimes, envy may have instrumental value in promoting prudentially and morally good outcomes. Sometimes, envy may be non-instrumentally prudentially and morally good. Sometimes, envy may be bad. This nuanced perspective on the value of envy has implications for recommendations on how to deal with envy and paves the way toward future empirical and theoretical investigations on the nature and the value of envy. (shrink)

The present paper discusses the claim that value-free science is impossible. After applauding the observation of Colombo et al. Review of Philosophy and Psychology 7: 743–763, that this is at least to a considerable extent a psychological question, and should therefore be studied using the methods of psychological science, the studies performed by these authors were examined and unfortunately found seriously wanting in various respects. Beyond the merits or demerits of that particular piece of work, the discussion lead to a (...) conclusion likely relevant to the entire discussion about the alleged impossibility of value-free science: Showing the impossibility of value-free science would entail at least a) defining what the term science is intended to cover, b) providing high level evidence that few if any scientists in the relevant area are immune to non-epistemic influences, c) that these influences meaningfully bias the results of science, d) that there is no way to correct for these influences, and e) explain why – unlike epistemic appraisal in science – the epistemic appraisal of this argument can be trusted. (shrink)

Explanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature in the intersection of psychology and philosophy of science by systematically investigating how judgments of explanatory power are affected by the prior credibility of a potential explanation, the causal framing used to describe the explanation, the generalizability of the explanation, and its statistical relevance for the evidence. Collectively, (...) the results of our five experiments support the hypothesis that the prior credibility of a causal explanation plays a central role in explanatory reasoning: first, because of the presence of strong main effects on judgments of explanatory power, and second, because of the gate-keeping role it has for other factors. Highly credible explanations were not susceptible to causal framing effects. Instead, highly credible hypotheses were sensitive to the effects of factors which are usually considered relevant from a normative point of view: the generalizability of an explanation, and its statistical relevance for the evidence. These results advance current literature in the philosophy and psychology of explanation in three ways. First, they yield a more nuanced understanding of the determinants of judgments of explanatory power, and the interaction between these factors. Second, they illuminate the close relationship between prior beliefs and explanatory power. Third, they clarify the relationship between abductive and probabilistic reasoning. (shrink)