In this article, I first give a short outline of the different interpretations of the concept of probability that emerged in the twentieth century. In what follows, I give an overview of the main problems and problematic concepts from the philosophy of probability and show how they relate to Bayesian inference. In this overview, I emphasise that the understanding of the main concepts related to different interpretations of probability influences the understanding and status of Bayesian inference. In the conclusion, I (...) express that, from a broad epistemological point of view, a kind of compatibilism between the two main lines of interpretations of probability is worth pursuing, as they represent different aspects of the epistemological process. (shrink)

The paradox of pain refers to the idea that the folk concept of pain is paradoxical, treating pains as simultaneously mental states and bodily states. By taking a close look at our pain terms, this paper argues that there is no paradox of pain. The air of paradox dissolves once we recognize that pain terms are polysemous and that there are two separate but related concepts of pain rather than one.

While it is widely acknowledged that psychology is in the throes of a replication ‘crisis’, relatively little attention has been paid to the role theory plays in our evaluation of replications as ‘failed’ or ‘successful’. This paper applies well-known arguments in philosophy of science about the interplay between theory and experiment to a contemporary case study of infants’ understanding of false belief (Onishi and Baillargeon [2005]), and attempts to replicate it. It argues that the lack of consensus about over-arching theories (...) informing both the concepts under study and the methodologies used to track them means that researchers disagree over which experiments constitute replications of the original. The second part of the paper places this specific debate within a broader discussion of the replication crisis as a crisis of ‘theory’, developing work by Muthukrishna and Henrich ([2018]) and Bird ([2018]). Bird argues that the lack of agreed over-arching theories in psychology means that a high rate of replication failure is to be expected; this paper agrees with his diagnosis but challenges his proposal that more replication will resolve the problem. (shrink)

We analyse the issue of using prior information in frequentist statistical inference. For that purpose, we scrutinise different kinds of sampling designs in Jerzy Neyman’s theory to reveal a variety of ways to explicitly and objectively engage with prior information. Further, we turn to the debate on sampling paradigms (design-based vs. model-based approaches) to argue that Neyman’s theory supports an argument for the intermediate approach in the frequentism vs. Bayesianism debate. We also demonstrate that Neyman’s theory, by allowing non-epistemic values (...) to influence evidence collection and formulation of statistical conclusions, does not compromise the epistemic reliability of the procedures and may improve it. This undermines the value-free ideal of scientific inference. (shrink)

Chalmers has argued that Bayesianism supports the existence of a priori truths, since it entails that scrutability conditionals are not rationally revisable. However, as we argue, Chalmers's arguments leave open that every proposition is rationally deniable, which would be devastating for large parts of his philosophical program. We suggest that Chalmers should appeal to well-known convergence theorems to argue that ideally rational subjects converge on the truth of scrutability conditionals. However, our discussion reveals that showing that these theorems apply in (...) effect requires assuming scrutability. Consequently, Bayesianism doesn't conflict with Chalmers's scrutability framework, but it doesn't support it, either. (shrink)

‘Bayesian epistemology’ became an epistemological movement in the 20th century, though its two main features can be traced back to the eponymous Reverend Thomas Bayes (c. 1701-61). Those two features are: (1) the introduction of a formal apparatus for inductive logic; (2) the introduction of a pragmatic self-defeat test (as illustrated by Dutch Book Arguments) for epistemic rationality as a way of extending the justification of the laws of deductive logic to include a justification for the laws of inductive logic. (...) The formal apparatus itself has two main elements: the use of the laws of probability as coherence constraints on rational degrees of belief (or degrees of confidence) and the introduction of a rule of probabilistic inference, a rule or principle of conditionalization. (shrink)

It is no secret that we inhabit an increasingly irrational world, plagued by rampant pseudoscience, science denialism, post-truths and fake news. Or perhaps, human nature being what it is, we have always lived in such a world and we are now simply more keenly aware of it because of easy and widespread access to social media. Moreover, the stakes are higher, as pseudoscience in the form of the anti-vax movement imperils the lives of many, while climate change denialism literally risks (...) a collapse of the human ecosystem. So how do we deal with the problem? How do we talk to otherwise perfectly reasonable and functional people who nevertheless espouse all sorts of nonsense — and vote accordingly? In this paper I will explore a couple of real life conversations among many that I have had with believers in pseudoscience, and then present and discuss virtue epistemology as one approach to ameliorate the problem. No silver bullets are available, unfortunately, but it is our intellectual and moral duty to keep, as Carl Sagan famously put it, the candle of reason lit even when surrounded by the darkness of unreason. (shrink)