Peter Baumann

Are our beliefs mostly true? Donald Davidson has proposed some very interesting arguments in favor of his "extended claim" that most our beliefs must be true. The main aim of this paper is to show that Davidson's arguments are not convincing. The most well known of his arguments is the argument of the "omniscient interpreter". The conceivability of a totally ignorant interpreter, however, shows that this argument fails. Davidson offers two more arguments for his extended claim: one of them based on his holism of the propositional attitudes, the other one based on his externalism of language and thought. Both arguments, however, do not sufficiently support the extended claim. Hence, it must remain open at least whether we live in one of the best possible epistemic worlds.

This paper argues that three plausible principles are mutually inconsistent: One ought to assert only what one knows; If it is proper to assert some proposition q, then it is, barring special and not very common circumstances, proper to assert any proposition p from which q has been competently inferred; and Some propositions are both properly assertible and known by competent inference from propositions which one does not know. Each pair of two principles constitutes an argument against the remaining principle, but which principle should one drop?

Most contextualists agree that contexts differ with respect to relevant epistemic standards. In this paper, I discuss the idea that the difference between more modest and stricter standards should be explained in terms of the closeness or remoteness of relevant possible worlds. I argue that there are serious problems with this version of contextualism. In the second part of the paper, I argue for another form of contextualism that has little to do with standards and a lot with the well-known problem of the reference class. This paper also illustrates the fact that contextualism comes in many varieties.

We often describe lives (or parts of lives) as meaningful or as not meaningful. It is also common to characterize them as more or less meaningful. Some lives, we tend to think, are more meaningful than others. But how then can one compare lives with respect to how much meaning they contain? Can one? This paper argues that (i) only a notion of rough equality can be used when comparing different lives with respect to their meaning, and that (ii) the relation of being more meaningful is not transitive. It follows that all attempts to rank different lives in terms of meaning can at best lead to partially indeterminate and incomplete rankings. One should also give up on the idea of “maximizing” meaning. I will use Thaddeus Metz’s important recent book “Meaning in Life. An Analytic Study” as a foil for my discussion.

A moral theory is "self-effacing" if it tells one not to believe in it. Many people think that the aims of a moral theory (like utilitarianism) can be better reached if it is self-effacing. I argue here that moral theories should not be self-effacing. Except in a special case, the self-effacing character of a theory goes hand in hand with mutually incompatible intentions, practical dilemmas, or pragmatical paradoxes. Hence, if a moral (or non-moral) theory is self-effacing, one should rather give it up.

This paper discusses two versions of reliabilism: modal and probabilistic reliabilism. Modal reliabilism faces the problem of the missing closeness metric for possible worlds while probalistic reliabilism faces the problem of the relevant reference class. Despite the severity of these problems, reliabilism is still very plausible (also for independent reasons). I propose to stick with reliabilism, propose a contextualist (or, alternatively, harmlessly relativist) solution to the above problems and suggest that probabilistic reliabilism has the advantage over modal reliabilism.

For each of the many goals of an agent it is true that the agent wants its realization. Given further very plausible assumptions, one can show that there is no good reason for an agent not to want the realization of all of his goals. However, it seems also true that reaching all of one’s goals would be extremely boring; most human beings would consider such a life not worth living. In this respect, leading a life is like playing some game: A game loses its point if one always easily wins. Human agents not only pursue goals but they also have the second-order desire to lead the life of a goal-pursuer. More precisely, they want to be goal-pursuers such that many but not all of their goals are being realized. I argue here that they have a good reason not to want the realization of all of their goals. Now, all this constitutes an antinomy: Apparently, there are very plausible arguments both for affirming as well as denying that an agent has good reasons not to want the realization of his goals. This antinomy is similar to the preface-paradox about beliefs which has a convincing solution (due to Frank Ramsey). I argue, however, that there is no such solution in the case of goals. This leaves us with the question what a solution could look like.

According to reliabilist conceptions of knowledge, knowledge implies reliable true belief. Since reliability is an irreducibly probabilistic notion, one's view of knowledge also depends on one's view of probability. If one believes that all probability is subjective probability, knowledge becomes a relativized concept: knowledge is relative to a given body of beliefs of a given person at a given time. Since such a relativized conception of knowledge is extremely implausible and since reliabilism seems to capture at least part of the truth, one should rather give up a purely subjective view of probability.