Saúl Pérez-González

Following Goldman’s seminal work, most contemporary philosophical contributions on the novice-expert relation have adopted a normative, expert-focused approach. In this paper, we aim to shift the focus of the philosophical analysis towards the characteristics of the novices, and how they might determine the choices that experts make. On the bases of recent empirical evidence from social psychology, we discuss how novices evaluate the messages that they receive and distinguish diverse kinds of novices according to their competence in message assessment. Building on that analysis, we discuss the difficulties of approaches to expertise that focus only on the standpoint of novices or assume novices are homogeneous. In our analysis, we introduce the standpoint of experts, and we pay special attention to the heterogeneity of novices. This approach allows us to identify and address the difficulties faced by experts in the context of science communication. In the last part of the paper, we characterise and discuss the problem of experts when choosing a strategy in the issuing of a public campaign to advise or inform certain populations of novices.

Extrapolation of causal claims from study populations to other populations of interest is a problematic issue. The standard approach in experimental research, which prioritises randomized controlled trials and statistical evidence, is not devoid of difficulties. Granted that, it has been defended that evidence of mechanisms is indispensable for causal extrapolation. We argue, contrarily, that this sort of evidence is not indispensable. Nonetheless, we also think that occasionally it may be helpful. In order to clarify its relevance, we introduce a distinction between a positive and a negative role of evidence of mechanisms. Our conclusion is that the former is highly questionable, but the latter may be a trustworthy resource for causal extrapolation.

Explanation is one of the main aims of science. Scientists frequently seek to explain scientific phenomena. This paper addresses the relationship between scientific explanation and science denialism. In it, explanatory wars are introduced. An explanatory war is a situation in which the standard scientific explanation of a phenomenon is systematically denied by a group of people. It is argued that the mechanistic account of scientific explanation is helpful in order to face this kind of science denialism. Mechanistic explanations are resistant to the arguments usually raised by denialists. The relevant role of mechanistic explanations is illustrated by the case of tobacco disease denialism during the second half of twentieth century.

Epidemiological models have played a central role in the COVID-19 pandemic, particularly when urgent decisions were required and available evidence was sparse. They have been used to predict the evolution of the disease and to inform policy-making. In this paper, we address two kinds of epidemiological models widely used in the pandemic, namely, compartmental models and agent-based models. After describing their essentials—some real examples are invoked—we discuss their main strengths and weaknesses. Then, on the basis of this analysis, we make a comparison between their respective merits concerning three different goals: prediction, explanation, and intervention. We argue that there are general considerations which could favour any of those sorts of models for obtaining the aforementioned goals. We conclude, however, that preference for particular models must be grounded case-by-case since additional contextual factors, as the peculiarities of the target population and the aims and expectations of policy-makers, cannot be overlooked.

The past two decades have witnessed an increase in interest in social mechanisms and mechanistic explanations of social macro-phenomena. This paper addresses the question of what the components of social mechanisms in mechanistic explanations of social macro-phenomena must be. Analytical sociology’s initial position and the main new proposals by analytical sociologists are discussed. It is argued that all of them are faced with outstanding difficulties. Subsequently, a minimal requirement regarding the components of social mechanisms is introduced. It is held that a component of a social mechanism in a mechanistic explanation of a social macro-phenomenon must not have the explanandum phenomenon as a part of it.

In this paper, we address the question whether a mechanistic approach can account for evolutionary causes. The last decade has seen a major attempt to account for natural selection as a mechanism. Nevertheless, we stress the relevance of broadening the debate by including the other evolutionary causes inside the mechanistic approach, in order to be a legitimate conceptual framework on the same footing as other approaches to evolutionary theory. We analyse the current debate on natural selection as a mechanism, and extend it to the rest of the evolutionary causes. We focus on three approaches that we call the stochastic view, the functional view, and the minimalist view. We argue that all of them are unable to account for evolutionary causes as mechanisms. It is concluded that the current mechanistic proposals cannot be accepted as a common framework for evolutionary causes. Finally, we outline some guidelines and requirements that any mechanistic proposal should meet in order to be applied to evolutionary theory.