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Deborah Mayo

Virginia Tech
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 More details
  • Virginia Tech
    Department of Philosophy
    Retired faculty
Blacksburg, Virginia, United States of America
  • All publications (67)
  •  227
    Philosophical Scrutiny of Evidence of Risks: From Bioethics to Bioevidence
    with Aris Spanos
    Philosophy of Science 73 (5): 803-816. 2006.
    We argue that a responsible analysis of today's evidence-based risk assessments and risk debates in biology demands a critical or metascientific scrutiny of the uncertainties, assumptions, and threats of error along the manifold steps in risk analysis. Without an accompanying methodological critique, neither sensitivity to social and ethical values, nor conceptual clarification alone, suffices. In this view, restricting the invitation for philosophical involvement to those wearing a "bioethicist…Read more
    We argue that a responsible analysis of today's evidence-based risk assessments and risk debates in biology demands a critical or metascientific scrutiny of the uncertainties, assumptions, and threats of error along the manifold steps in risk analysis. Without an accompanying methodological critique, neither sensitivity to social and ethical values, nor conceptual clarification alone, suffices. In this view, restricting the invitation for philosophical involvement to those wearing a "bioethicist" label precludes the vitally important role philosophers of science may be able to play as bioevidentialists. The goal of this paper is to give a brief and partial sketch of how a metascientific scrutiny of risk evidence might work.
    Medical EpistemologyBiomedical EthicsEvolutionary Biology
  •  325
    Models of group selection
    with Norman L. Gilinsky
    Philosophy of Science 54 (4): 515-538. 1987.
    The key problem in the controversy over group selection is that of defining a criterion of group selection that identifies a distinct causal process that is irreducible to the causal process of individual selection. We aim to clarify this problem and to formulate an adequate model of irreducible group selection. We distinguish two types of group selection models, labeling them type I and type II models. Type I models are invoked to explain differences among groups in their respective rates of pr…Read more
    The key problem in the controversy over group selection is that of defining a criterion of group selection that identifies a distinct causal process that is irreducible to the causal process of individual selection. We aim to clarify this problem and to formulate an adequate model of irreducible group selection. We distinguish two types of group selection models, labeling them type I and type II models. Type I models are invoked to explain differences among groups in their respective rates of production of contained individuals. Type II models are invoked to explain differences among groups in their respective rates of production of distinct new groups. Taking Elliott Sober's model as an exemplar, we argue that although type I models have some biological importance--they force biologists to consider the role of group properties in influencing the fitness of organisms--they fail to identify a distinct group-level causal selection process. Type II models if properly framed, however, do identify a group-level causal selection process that is not reducible to individual selection. We propose such a type II model and apply it to some of the major candidates for group selection
    Group Selection
  •  56
    Error and the growth of experimental knowledge
    International Studies in the Philosophy of Science 15 (1): 455-459. 1996.
    Science, Logic, and MathematicsConfirmation
  •  3
    Can scientific theories be warranted with severity? Exchanges with Alan Chalmers
    In Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. 2009.
    Scientific MetamethodologyScientific Method, MiscellaneousEvidence, MiscConfirmation, MiscFalsificat…Read more
    Scientific MetamethodologyScientific Method, MiscellaneousEvidence, MiscConfirmation, MiscFalsificationDecision Theory and Hypothesis Testing
  •  74
    Toward progressive critical rationalism : exchanges with Alan Musgrave
    In Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science, Cambridge University Press. pp. 113. 2009.
    Popper: Critical Rationalism
  •  1
    The Methods of Science: No Dogs or Philosophers Allowed
    with Ken Knisely, Robert Rynasiewicz, and Drew Arrowood
    DVD. forthcoming.
    What is science, and what is it not? Is falsifiability the key to drawing this line? How and why does science work? Should we worry whether science is talking about a "real" world? And should we stop thinking there is a single thing we can call "the scientific method"? With Deborah Mayo, Robert Rynasiewicz, and Drew Arrowood
    FalsificationScientific Method, MiscellaneousDemarcation of Science
  •  86
    Scientific Reasoning: The Bayesian Approach. Colin Howson, Peter Urbach
    Isis 82 (4): 788-789. 1991.
    Bayesian Reasoning, MiscConfirmation, MiscPhilosophy of Statistics
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