Frege begins Die Grundlagen der Arithmetik, the work that introduces the project which was to occupy him for most of his professional career, with the question, 'What is the number one?' It is a question to which even mathematicians, he says, have no satisfactory answer. And given this scandalous situation, he adds, there is small hope that we shall be able to say what number is. Frege intends to rectify the situation by providing definitions of the number one and the (...) concept of number. But what, exactly, is required of a definition? Surely it will not do to stipulate that the number one is Julius Caesar - that would change the subject. It seems reasonable to suppose that an acceptable definition must be a true statement containing a description that picks out the object to which the numeral '1' already refers. And, similarly, that an acceptable definition of the concept of number must contain a description that picks out precisely those objects that are numbers - those objects to which our numerals refer. Yet, while Frege writes a great deal about what criteria his definitions must satisfy, the above criteria are not among those he mentions. Nor does he attempt to convince us that his definitions of '1' and the other numerals are correct by arguing that these definitions pick out objects to which these numerals have always referred. Yet, while Frege writes a great deal about what criteria his definitions must satisfy, the above criteria are not among those he mentions. Nor does he attempt to convince us that his definitions of ‘1’ and the other numerals are correct by arguing that these definitions pick out objects to which these numerals have always referred. There is, as we shall see shortly, a great deal of evidence that Frege’s definitions are not intended to pick out objects to which our numerals already refer. But if this is so, how can these definitions teach us anything about our science of arithmetic? And what criteria must these definitions satisfy? To answer these questions, we need to understand what it is that Frege thinks we need to learn about the science of arithmetic. (shrink)

Suppose we consider knowledge to be valuable because of the role known propositions play in practical reasoning. This, I argue, does not provide a reason to think that knowledge is valuable in itself. Rather, it provides a reason to think that true belief is valuable from one standpoint, and that justified belief is valuable from another standpoint, and similarly for other epistemic concepts. The value of the concept of knowledge is that it provides an economical way of talking about many (...) epistemic concepts that are valuable in itself from one standpoint or another. In this way knowledge is like a Swiss Army Knife; a Swiss Army Knife is not useful as such on any occasion, but it provides an efficient way of carrying around different tools that are useful in themselves on different occasions. (shrink)

I propose that testimony is subject to a norm that is backed by a credibility sanction: whenever the norm is violated, it is appropriate for the testifier to lose some credibility for their future testimony. This is one of a family of sanction-based norms, where violation of the norm makes it appropriate to lose some power; in this case, the power to induce belief through testimony. The applicability of the credibility norm to testimony follows from the epistemology of testimony, in (...) that false or unjustified testimony weakens the reason for belief that is provided by the speaker's future testimony. (shrink)

Clinical research under the usual regulatory constraints may be difficult or even impossible in a public health emergency. Regulators must seek to strike a good balance in granting as wide therapeutic access to new drugs as possible at the same time as gathering sound evidence of safety and effectiveness. To inform current policy, I reexamine the philosophical rationale for restricting new medicines to clinical trials, at any stage and for any population of patients (which resides in the precautionary principle), to (...) show that its objective to protect public health, now or in the future, could soon be defeated in a pandemic. Providing wider therapeutic access and coordinating observations and natural experiments, including service delivery by cluster (wedged cluster trials), may provide such a balance. However, there are important questions of fairness to resolve before any such research can proceed. (shrink)

I argue that there is a wide variety of epistemic norms, distributed along two different spectra. One spectrum runs from the ideal to the practical and concerns the extent to which it is possible to follow the norm given our cognitive and epistemic limitations. The other spectrum runs from thin to thick and concerns the extent to which the norm concerns facts about our beliefs over and above the content of the belief. Many putative epistemic norms, such as truth and (...) various conceptions of justification, can be found at different points on the spectra. There is no single obvious privileged point from which to say any of these norms is more fundamental than the others, though there may be some reason to doubt that some of the norms are intrinsically interesting. (shrink)

Cluster randomized controlled trials (cluster RCTs) randomize whole clusters of individuals in testing two or more competing interventions. Here we will present the ethical problems raised by cluster RCTs concerning their effect on inequality. We argue that some inequalities generated by cluster RCTs are larger in scope than those generated from individual RCTs. We also argue that any cluster RCT-generated inequalities, which divide groups rather than individuals, are more problematic in type than the inequalities created in individual RCTs. These concerns (...) should be taken into consideration when designing research at the cluster level, and those conducting the research should consider modified research design strategies in cases where they believe the risk of generating inequalities is large. (shrink)

The aim of this article is to examine whether informational manipulation, used intentionally by the researcher to increase recruitment in the research study, can be morally acceptable. We argue that this question is better answered by following a non-normative account, according to which the ethical justifiability of informational manipulation should not be relevant to its definition. The most appropriate criterion by which informational manipulation should be considered as morally acceptable or not is the researcher’s special moral duties towards their subjects. (...) We also propose that a broader definition of manipulation of information should be adopted (than that already existing in the literature) since informational manipulation can affect not only a person’s beliefs but also their desires in decision-making. We conclude that manipulation of information can either be used to protect the potential subject and facilitate the informed consent process or be used to exploit and merely use a person for scientific goals. (shrink)