Past entities, events, and circumstances are neither observable nor manipulatable. Several philosophers argued that this inaccessibility precludes a realistic conception of the past. I survey versions of antirealism and agnosticism about the past formulated by Michael Dummett, Leon Goldstein, and Derek Turner. These accounts differ in their motivations and reasoning, but they share the opinion that the reality of at least large swathes of the past is unknowable. Consequently, they consider statements about them as referring, at most, to present constructs. (...) These antirealists about the past are not, however, antirealists or skeptics about time or chronology. They accept, among other things, that present traces can be dated and statements about their temporal provenances are referring and truth-apt.I posit that an antirealist who accepts that at least some of the present traces can be truth-aptly dated while holding that these traces do not support knowledge about past events and circumstances commits herself to a radically skeptic stance. Otherwise, she would be diluting her position so that it will be hardly distinguishable from realism. This problem could be avoided if antirealists about the past would extend their antirealism to estimates of the age of present traces. Such a position, however, would imply a very drastic form of scientific antirealism. I conclude that the past’s inaccessibility is insufficient to support antirealism about the past, either as a part of moderate scientific antirealism or as a stand-alone position. (shrink)

The epistemology of studies addressing questions about historical and prehistorical phenomena is a subject of increasing discussion among philosophers of science. A related field of inquiry that has yet to be connected to this topic is the epistemology of climate science. Branching these areas of research, I show how variety-of-evidence reasoning accounts for scientific inferences about the past by detailing a case study in paleoclimate reconstruction. This analysis aims to clarify the logic of historical inquiry in general and, by focusing (...) on a case study about climate change, it offers an epistemic account of a particular discipline that is of environmental and social importance. (shrink)

Carman argues, in ‘The electrons of the dinosaurs and the center of the Earth’, that we may have more reason to be realists about dinosaurs than about electrons, because there are plenty of observable analogues for dinosaurs but not for electrons. These observable analogues severely restrict the range of plausible ontologies, thus reducing the threat of underdetermination. In response to this argument, I show that the observable analogues for ancient organisms are a mixed epistemic blessing at best, and I discuss (...) some cases from the history of paleontology in which the observable analogues—ducks, shrimp, and lizards—have led scientists into persisting error. I also give reasons for thinking that underdetermination will be just as serious a problem in historical as in experimental science. I conclude that Carman has not succeeded in showing that dinosaurs ‘come off better’ than electrons.Keywords: Paleontology; Pessimistic induction; Realism; Unobservables. (shrink)

Researchers in the life sciences often make uniqueness attributions; about branching events generating new species, the developmental processes generating novel traits and the distinctive cultural selection pressures faced by hominins. Yet since uniqueness implies non-recurrence, such attributions come freighted with epistemic consequences. Drawing on the work of Aviezer Tucker, we show that a common reaction to uniqueness attributions is pessimism: both about the strength of candidate explanations as well as the ability to even generate such explanations. Looking at two case (...) studies—elephant trunks and human teaching—we develop a more optimistic account. As we argue, uniqueness attributions are revisable claims about the availability of several different kinds of comparators. Yet even as researchers investigate the availability of such comparators, they are able to mobilize complex sets of empirical and theoretical tools. Rather than hindering scientific investigation, then, we argue that uniqueness attributions often spur the generation of a range of epistemic goods. (shrink)

I offer four ways of distinguishing paleobiology from neontology, and from this develop a sketch of the philosophy of paleobiology. I then situate and describe the papers in the special issue Paleobiology and Philosophy, and reflect on the value and prospects of paleontology-focused philosophy.

The goal of this dissertation is to contribute to the epistemology of science by addressing a set of related questions arising from current discussions in the philosophy and science of climate change: (1) Given the imperfection of computer models, how do they provide information about large and complex target systems? (2) What is the relationship between consilient reasoning and robust evidential support in the production of scientific knowledge? (3) Does taking the mean of a set of model outputs provide epistemic (...) advantages over using the output of a single ‘best model’? Synthesizing research in philosophy and science, the thesis analyzes connections among consilient inductions, robustness analysis, and the aggregation of various sources of evidence, including computer simulations, by investigating case studies of climate change that exemplify the strength of consilient reasoning and the security of robust evidential support. It also explains the rationale and epistemic conditions for improving estimates by averaging multiple estimates, comparing a simple case of averaging estimates to practices in multi-model ensemble studies. I argue: (A) the concepts of consilience and robustness account for the strength and security of inferences that rely on imperfect computer modelling methods, (B) consilient reasoning is conducive to attaining robust evidential support, and (C) an analogy can explain why averaging the outputs of multiple models can improve estimates of a target system, given that conditions of model independence, skill and unequal weighting are taken into account. (shrink)