Online research in philosophy

To understand better why evidence of student cheating is often ignored, a national sample of psychology instructors was sampled for their opinions. The 127 respondents overwhelmingly agreed that dealing with instances of academic dishonesty was among the most onerous aspects of their profession. Respondents cited insufficient evidence that cheating has occurred as the most frequent reason for overlooking student behavior or writing that might be dishonest. A factor analysis revealed 4 other clusters of reasons as to why cheating may be ignored. Emotional reasons included stress and lack of courage. Difficult reasons included the extensive time and effort required to deal with cheating students. Fear reasons included concern about retaliation or a legal challenge. Denial reasons included beliefs that cheating students would fail anyway and that the worst offenders do not get caught. The reasons why instances of academic dishonesty should be proactively confronted are presented.

Throughout his work on the rationality of epistemic dependence, John Hardwig makes the striking observation that he believes many things for which he possesses no evidence (1985, 335; 1991, 693; 1994, 83). While he could imagine collecting for himself the relevant evidence for some of his beliefs, the vastness of the world and constraints of time and individual intellect thwart his ability to gather for himself the evidence for all his beliefs. So for many things he believes what others tell him, as we all do. Epistemic dependence is the responsible choice, he argues, because he can be reasonably sure that those on whom he depends know more about the subject than he does. Epistemic dependence on experts is a smarter bet than epistemic autonomy: after all, Hardwig reasons, “if I were to pursue epistemic autonomy across the board, I would succeed in holding relatively uninformed, unreliable, crude, untested, and therefore irrational beliefs” (1985, 340) [...] In this paper I argue against what I call Hardwig’s no-evidence thesis: that knowledge and belief based on testimony are knowledge and belief for which the knower possesses no evidence. Against the no-evidence thesis, I propose we recognize that layperson B’s good reason to believe that expert A has good reason to believe proposition p constitutes evidence for B for p. I argue that the reasons Hardwig gives for the no-evidence thesis are inconclusive at best; at worst the no-evidence thesis coupled with his recognition of expert interdependence exposes him to recent criticisms by Stella Gaon and Stephen Norris. By rejecting the no-evidence thesis, we can recognize with Hardwig the importance of expert epistemic interdependence while avoiding the paradoxical implications of his position.

From the perspective of Mayo’s error statistical theory of evidence, I explore problems and prospects for an account of the objectivity of scientific evidence. A recent proposal by Peter Achinstein provides the starting point. I consider a challenge to this proposal arising from the role of agents in carrying out the testing procedures that are central to the error statistical theory. Achinstein’s objective concept of unrelativized potential evidence initially resolves these difficulties, only to give way to a deeper incompatibility between Achinstein’s conception of objectivity of reasons to believe and the error statistical theory of evidence. I propose an alternative account of objectivity of reasons that is compatible with the error statistical theory.

I want to discuss a problem that arises when you try to combine an attractive account of what constitutes evidence with an independently plausible account of the kind of access we have to our evidence. According to E = K, our evidence consists of what we know. According to the principle of armchair access, if a proposition is part of our evidence we ought to be able to know that this proposition is part of our evidence ‘from the armchair’. Combined, these claims entail that we can have armchair knowledge of the external world. Because it seems that the principle of armchair access is supported by a widely shared intuition about epistemic rationality, it seems we ought to embrace an internalist conception of evidence. I shall argue that this response is mistaken. Because externalism about evidence can accommodate the relevant intuitions about epistemic rationality, the principle of armchair access is unmotivated. We also have independent reasons for preferring externalism about evidence to the principle of armchair access.

In this paper, we argue for a particular informative and unified analysis of normative reasons. According to this analysis, a fact F is a reason to act in a certain way just in case it is evidence that one ought to act in that way. Similarly, F is a reason to believe a certain proposition just in case it is evidence for the truth of this proposition. Putting the relatively uncontroversial claim about reasons for belief to one side, we present several arguments in favor of our analysis of reasons for action. We then turn to consider a series of objections to the analysis. We conclude that there are good reasons to accept the analysis and that the objections do not succeed.

Though one believes that P is true, one can have reasons for thinking it false. Yet, it seems that one cannot know that P is true and (still) have reasons for thinking it false. Why is this so? What feature of knowledge (or of reasons) precludes having reasons or evidence to believe (true) what you know to be false? If the connection between reasons (evidence) and what one believes is expressible as a probability relation, it would seem that the only satisfactory explanation of this fact is that when one knows that P is true, the reasons or evidence one has in support of P are such as to confer upon P the probability of 1. It is shown by an application of Bayes' Theorem that any value smaller than 1 would permit having reasons to believe what one knows to be false. Hence, it would seem that knowledge requires conclusive reasons to believe (if reasons or evidence is required at all).

How are reasons and evidence interrelated? According to one prevalent view, reasons and evidence are equivalent: evidence is a reason, and a reason is evidence. On another view reasons and evidence are conditionally related: if there is evidence, then there is a reason. On a different view reasons and evidence are disjunctively related: reasons or evidence can be substituted for each other. In this paper, I argue against these common views, and I defend the view that reasons and evidence are conjunctively related: evidence and reasons are distinguishable yet inseparable. I argue reasons and evidence are distinct because they come apart in certain cases, and I argue reasons and evidence are inseparable because only when properly conjoined are they capable of yielding correct verdicts on important cases in epistemology.

How are reasons and evidence interrelated? According to one prevalent view, reasons and evidence are equivalent: evidence is a reason, and a reason is evidence. On another view reasons and evidence are conditionally related: if there is evidence, then there is a reason. On a different view reasons and evidence are disjunctively related: reasons or evidence can be substituted for each other. In this paper, I argue against these common views, and I defend the view that reasons and evidence are conjunctively related: evidence and reasons are distinguishable yet inseparable. I argue reasons and evidence are distinct because they come apart in certain cases, and I argue reasons and evidence are inseparable because only when properly conjoined are they capable of yielding correct verdicts on important cases in epistemology.