George Botterill

Contrastive explanation and the many absences problem

We often explain by citing an absence or an omission. Apart from the problem of assigning a causal role to such apparently negative factors as absences and omissions, there is a puzzle as to why only some absences and omissions, out of indefinitely many, should figure in explanations. In this paper we solve this ’many absences problem’ by using the contrastive model of explanation. The contrastive model of explanation is developed by adapting Peter Lipton’s account. What initially appears to be only a trivial amendment to Lipton’s Difference Condition enables us both to offer a much more satisfactory solution to the ’many absences problem’ than David Lewis did, and also to explain why explanation in terms of absences and omissions should be so common.

Contrast, inference and scientific realism

The thesis of underdetermination presents a major obstacle to the epistemological claims of scientific realism. That thesis is regularly assumed in the philosophy of science, but is puzzlingly at odds with the actual history of science, in which empirically adequate theories are thin on the ground. We propose to advance a case for scientific realism which concentrates on the process of scientific reasoning rather than its theoretical products. Developing an account of causal–explanatory inference will make it easier to resist the thesis of underdetermination. For, if we are not restricted to inference to the best explanation only at the level of major theories, we will be able to acknowledge that there is a structure in data sets which imposes serious constraints on possible theoretical alternatives. We describe how Differential Inference, a form of inference based on contrastive explanation, can be used in order to generate causal hypotheses. We then go on to consider how experimental manipulation of differences can be used to achieve Difference Closure, thereby confirming claims of causal efficacy and also eliminating possible confounds. The model of Differential Inference outlined here shows at least one way in which it is possible to ‘reason from the phenomena’.

Right and Wrong Reasons in Folk‐Psychological Explanation

Abstract Davidson argued that the fact we can have a reason for acting, and yet not be the reason why we act, requires explanation of action in terms of the agents reasons to be causal. The present paper agrees with Dickenson (Pacific Philosophical Quarterly, 2007) in taking this argument to be an inference to the best explanation. However, its target phenomenon is the very existence of a case in which an agent has more than one reason, but acts exclusively becaue of one reason. Folk psychology appears to allow for this phenomenon. However, appreciation of ‘rationalization’ as a form of contrastive explanation reveals the existence of the Davidsonian possibility to the problematic. Claims that ‘I did it because of R1, not because of R2’ are entertained in folk psychology, and may be sincere or insincere. But as reports of conscious practical reasoning, even when sincere, they are not authoritative about the mechanism of motivation.

The Internal Problem of Dreaming : Detection and Epistemic Risk

Abstract There are two epistemological problems connected with dreaming, which are of different kinds and require different treatment. The internal problem is best seen as a problem of rational consistency, of how we can maintain all of: 1. Dreams are experiences we have during sleep. 2. Dream‐experiences are sufficiently similar to waking experiences for the subject to be able to mistake them for waking experiences. 3. We can tell that we are awake. (1)–(3) threaten to violate a requirement on discrimination: that we can only tell Xs from Ys if there is some detectable difference between Xs and Ys. Attempts to solve the problem by Descartes and Williams are considered. It is suggested that if we take account of levels of epistemic risk, we can use Descartes’s criterion of lack of coherence, at least with hindsight – which is the time when we need to use it.