Federal Philosophy of Science: a Deconstruction— and a Reconstruction*
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There Is No Pure Empirical Reasoning
There Is No Pure Empirical Reasoning 1. Empiricism and the Question of Empirical Reasons Empiricism may be defined as the view there is no a priori justification for any synthetic claim. Critics object that empiricism cannot account for all the kinds of knowledge we seem to possess, such as moral knowledge, metaphysical knowledge, mathematical knowledge, and modal knowledge.1 In some cases, empiricists try to account for these types of knowledge; in other cases, they shrug off the objections, happily concluding, for example, that there is no moral knowledge, or that there is no metaphysical knowledge.2 But empiricism cannot shrug off just any type of knowledge; to be minimally plausible, empiricism must, for example, at least be able to account for paradigm instances of empirical knowledge, including especially scientific knowledge. Empirical knowledge can be divided into three categories: (a) knowledge by direct observation; (b) knowledge that is deductively inferred from observations; and (c) knowledge that is non-deductively inferred from observations, including knowledge arrived at by induction and inference to the best explanation. Category (c) includes all scientific knowledge. This category is of particular import to empiricists, many of whom take scientific knowledge as a sort of paradigm for knowledge in general; indeed, this forms a central source of motivation for empiricism.3 Thus, if there is any kind of knowledge that empiricists need to be able to account for, it is knowledge of type (c). I use the term “empirical reasoning” to refer to the reasoning involved in acquiring this type of knowledge – that is, to any instance of reasoning in which (i) the premises are justified directly by observation, (ii) the reasoning is non- deductive, and (iii) the reasoning provides adequate justification for the conclusion. -
Truth, Rationality, and the Growth of Scientific Knowledge
....... CONJECTURES sense similar to that in which processes or things may be said to be parts of the world; that the world consists of facts in a sense in which it may be said to consist of (four dimensional) processes or of (three dimensional) things. They believe that, just as certain nouns are names of things, sentences are names of facts. And they sometimes even believe that sentences are some- thing like pictures of facts, or that they are projections of facts.7 But all this is mistaken. The fact that there is no elephant in this room is not one of the processes or parts ofthe world; nor is the fact that a hailstorm in Newfound- 10 land occurred exactIy I I I years after a tree collapsed in the New Zealand bush. Facts are something like a common product oflanguage and reality; they are reality pinned down by descriptive statements. They are like abstracts from TRUTH, RATIONALITY, AND THE a book, made in a language which is different from that of the original, and determined not only by the original book but nearly as much by the principles GROWTH OF SCIENTIFIC KNOWLEDGE of selection and by other methods of abstracting, and by the means of which the new language disposes. New linguistic means not only help us to describe 1. THE GROWTH OF KNOWLEDGE: THEORIES AND PROBLEMS new kinds of facts; in a way, they even create new kinds of facts. In a certain sense, these facts obviously existed before the new means were created which I were indispensable for their description; I say, 'obviously' because a calcula- tion, for example, ofthe movements of the planet Mercury of 100 years ago, MY aim in this lecture is to stress the significance of one particular aspect of carried out today with the help of the calculus of the theory of relativity, may science-its need to grow, or, if you like, its need to progress. -
The Law and the Brain: Judging Scientific Evidence of Intent
The Journal of Appellate Practice and Process Volume 1 Issue 2 Article 4 1999 The Law and the Brain: Judging Scientific videnceE of Intent Erica Beecher-Monas Edgar Garcia-Rill Follow this and additional works at: https://lawrepository.ualr.edu/appellatepracticeprocess Part of the Evidence Commons, Jurisprudence Commons, and the Science and Technology Law Commons Recommended Citation Erica Beecher-Monas and Edgar Garcia-Rill, The Law and the Brain: Judging Scientific videnceE of Intent, 1 J. APP. PRAC. & PROCESS 243 (1999). Available at: https://lawrepository.ualr.edu/appellatepracticeprocess/vol1/iss2/4 This document is brought to you for free and open access by Bowen Law Repository: Scholarship & Archives. It has been accepted for inclusion in The Journal of Appellate Practice and Process by an authorized administrator of Bowen Law Repository: Scholarship & Archives. For more information, please contact [email protected]. THE LAW AND THE BRAIN: JUDGING SCIENTIFIC EVIDENCE OF INTENT Erica Beecher-Monas* and Edgar Garcia-Rill, Ph.D.** INTRODUCTION As evidentiary gatekeepers, judges must be ready to evaluate expert testimony about science and the brain. A wide variety of cases present issues of mental state, many doubtless with battling experts seeking to testify on these issues. This poses a dilemma for nonspecialist judges. How is a nonscientist to judge scientific evidence? How can a nonscientist decide if testimony about mental state meets the criteria of good science? This essay offers a general overview of the issue of evaluating scientific evidence and is aimed at exploring the issues involved, but not attempting easy answers. Of necessity, this requires thinking about how science works. -
The Demarcation Problem
Part I The Demarcation Problem 25 Chapter 1 Popper’s Falsifiability Criterion 1.1 Popper’s Falsifiability Popper’s Problem : To distinguish between science and pseudo-science (astronomy vs astrology) - Important distinction: truth is not the issue – some theories are sci- entific and false, and some may be unscientific but true. - Traditional but unsatisfactory answers: empirical method - Popper’s targets: Marx, Freud, Adler Popper’s thesis : Falsifiability – the theory contains claims which could be proved to be false. Characteristics of Pseudo-Science : unfalsifiable - Any phenomenon can be interpreted in terms of the pseudo-scientific theory “Whatever happened always confirmed it” (5) - Example: man drowning vs saving a child Characteristics of Science : falsifiability - A scientific theory is always takes risks concerning the empirical ob- servations. It contains the possibility of being falsified. There is con- firmation only when there is failure to refute. 27 28 CHAPTER 1. POPPER’S FALSIFIABILITY CRITERION “The theory is incompatible with certain possible results of observation” (6) - Example: Einstein 1919 1.2 Kuhn’s criticism of Popper Kuhn’s Criticism of Popper : Popper’s falsifiability criterion fails to char- acterize science as it is actually practiced. His criticism at best applies to revolutionary periods of the history of science. Another criterion must be given for normal science. Kuhn’s argument : - Kuhn’s distinction between normal science and revolutionary science - A lesson from the history of science: most science is normal science. Accordingly, philosophy of science should focus on normal science. And any satisfactory demarcation criterion must apply to normal science. - Popper’s falsifiability criterion at best only applies to revolutionary science, not to normal science. -
Study Questions Philosophy of Science Spring 2011 Exam 1
Study Questions Philosophy of Science Spring 2011 Exam 1 1. Explain the affinities and contrasts between science and philosophy and between science and metaphysics. 2. What is the principle of verification? How was the logical positivist‟s view of verification influenced by Hume‟s fork? Explain. 3. Explain Hume‟s distinction between impressions and ideas. What is the relevance of this distinction for the empiricist‟s view of how knowledge is acquired? 4. Why was Hume skeptical about “metaphysical knowledge”? Does the logical positivist, such as A. J. Ayer, agree or disagree? Why or why not? 5. Explain Ayer‟s distinction between weak and strong verification. Is this distinction tenable? 6. How did Rudolf Carnap attempt to separate science from metaphysics? Explain the role of what Carnap called „C-Rules‟ for this attempt. Was he successful? 7. Explain one criticism of the logical positivist‟s principle of verification? Do you agree or disagree? Why or why not? 8. Explain the affinities and contrasts between A. J. Ayer‟s logical positivism and Karl Popper‟s criterion of falsifiability. Why does Popper think that scientific progress depends on falsifiability rather than verifiability? What are Popper‟s arguments against verifiability? Do you think Popper is correct? 9. Kuhn argued that Popper neglected what Kuhn calls “normal science.” Does Popper have a reply to Kuhn in his distinction between science and ideology? Explain. 10. Is Popper‟s criterion of falsifiability a solution to the problem of demarcation? Why or why not? Why would Gierre or Kuhn disagree? Explain 11. Kuhn, in his “Logic of Discovery or Psychology of Research?” disagrees with Popper‟s criterion of falsifiability as defining the essence of science. -
Achievements and Fallacies in Hume's Account of Infinite
-1- ACHIEVEMENTS AND FALLACIES IN HUME’S ACCOUNT OF INFINITE DIVISIBILITY James Franklin Hume Studies 20 (1994): 85-101 Throughout history,almost all mathematicians, physicists and philosophers have been of the opinion that space and time are infinitely divisible. That is, it is usually believedthat space and time do not consist of atoms, but that anypiece of space and time of non-zero size, howeversmall, can itself be divided into still smaller parts. This assumption is included in geometry,asinEuclid, and also in the Euclidean and non- Euclidean geometries used in modern physics. Of the fewwho have denied that space and time are infinitely divisible, the most notable are the ancient atomists, and Berkeleyand Hume. All of these assert not only that space and time might be atomic, but that theymust be. Infinite divisibility is, theysay, impossible on purely conceptual grounds. In the hundred years or so before Hume’s Tr eatise, there were occasional treatments of the matter,in places such as the Port Royal Logic, and Isaac Barrow’smathematical lectures of the 1660’s, 1 Theydonot add anything substantial to medievaltreatments of the same topic. 2 Mathematicians certainly did not take seriously the possibility that space and time might be atomic; Pascal, for example, instances the Chevalier de Me´re´’s belief in atomic space as proof of his total incompetence in mathematics. 3 The problem acquired amore philosophical cast when Bayle, in his Dictionary, tried to showthat both the assertion and the denial of the infinite divisibility of space led to contradictions; the problem thus appears as a general challenge to "Reason". -
Corkett a Note on the Aristotelian Origin
1 A NOTE ON THE ARISTOTELIAN ORIGIN OF POPPER’S DEMARCATION CRITERION TOGETHER WITH ITS APPLICATION TO ATLANTIC CANADA’S FISHERIES Christopher J. Corkett* *Christopher is a retired Instructor from the Biology Department of Dalhousie University. He is currently applying Karl Popper’s non-inductive theory of method to the management of the world’s commercial fisheries. Abstract It has not always been realised that Karl Popper’s demarcation criterion, the criterion he uses to distinguish an empirical science from its ‘metaphysical’ complement involves an interpretation of the classical theory of terms. From the beginning Popper’s criterion never was an attempt to distinguish some subject matter called ‘science’ from some subject matter called ‘metaphysics’. His criterion of falsifiability always was an attempt to distinguish the logical strength of a universal law from the logical weakness of its complement, a complement that can bear no fruit. For example: if the falsifiability criterion is applied to the management of the fisheries of Atlantic Canada we can distinguish the bold and sound management of Atlantic lobster from the weak and unsound management of Atlantic groundfish. In the early 1990s Newfoundland’s fishery for Atlantic cod suffered a major collapse that has become one of the world’s most prominent case studies of failure in fisheries management. Under Popper’s analytic theory of demarcation a weak management with no problem solving potentiality is to be held responsible for the collapse of Newfoundland’s Atlantic cod fishery. 2 1. Introduction Logic is one of the most ancient of all disciplines. It was founded by the Greek scientist and philosopher Aristotle (384-322 B.C.) before even the Hellenistic development of mathematics. -
THE SCIENTIFIC METHOD and the LAW by Bemvam L
Hastings Law Journal Volume 19 | Issue 1 Article 7 1-1967 The cS ientific ethoM d and the Law Bernard L. Diamond Follow this and additional works at: https://repository.uchastings.edu/hastings_law_journal Part of the Law Commons Recommended Citation Bernard L. Diamond, The Scientific etM hod and the Law, 19 Hastings L.J. 179 (1967). Available at: https://repository.uchastings.edu/hastings_law_journal/vol19/iss1/7 This Article is brought to you for free and open access by the Law Journals at UC Hastings Scholarship Repository. It has been accepted for inclusion in Hastings Law Journal by an authorized editor of UC Hastings Scholarship Repository. THE SCIENTIFIC METHOD AND THE LAW By BEmVAm L. DIivmN* WHEN I was an adolescent, one of the major influences which determined my choice of medicine as a career was a fascinating book entitled Anomalies and Curiosities of Medicine. This huge volume, originally published in 1897, is a museum of pictures and lurid de- scriptions of human monstrosities and abnormalities of all kinds, many with sexual overtones of a kind which would especially appeal to a morbid adolescent. I never thought, at the time I first read this book, that some day, I too, would be an anomaly and curiosity of medicine. But indeed I am, for I stand before you here as a most curious and anomalous individual: a physician, psychiatrist, psychoanalyst, and (I hope) a scientist, who also happens to be a professor of law. But I am not a lawyer, nor in any way trained in the law; hence, the anomaly. The curious question is, of course, why should a non-lawyer physician and scientist, like myself, be on the faculty of a reputable law school. -
The Problem of Induction
The Problem of Induction Gilbert Harman Department of Philosophy, Princeton University Sanjeev R. Kulkarni Department of Electrical Engineering, Princeton University July 19, 2005 The Problem The problem of induction is sometimes motivated via a comparison between rules of induction and rules of deduction. Valid deductive rules are necessarily truth preserving, while inductive rules are not. So, for example, one valid deductive rule might be this: (D) From premises of the form “All F are G” and “a is F ,” the corresponding conclusion of the form “a is G” follows. The rule (D) is illustrated in the following depressing argument: (DA) All people are mortal. I am a person. So, I am mortal. The rule here is “valid” in the sense that there is no possible way in which premises satisfying the rule can be true without the corresponding conclusion also being true. A possible inductive rule might be this: (I) From premises of the form “Many many F s are known to be G,” “There are no known cases of F s that are not G,” and “a is F ,” the corresponding conclusion can be inferred of the form “a is G.” The rule (I) might be illustrated in the following “inductive argument.” (IA) Many many people are known to have been moral. There are no known cases of people who are not mortal. I am a person. So, I am mortal. 1 The rule (I) is not valid in the way that the deductive rule (D) is valid. The “premises” of the inductive inference (IA) could be true even though its “con- clusion” is not true. -
Darwinian Fairytales
David Stove Darwinian Fairytales Selfish Genes, Errors of Heredity, and Other Fables of Evolution To my wife Jess and our children Robert and Judith Darwinian Fairytales DAVID STOVE Avebury Aldershot • Brookfield USA • Hong Kong • Singapore • Sydney © Judith Stove 1995 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior permission of the publisher. Published by Avebury Ashgate Publishing Ltd Gower House Croft Road Aldershot Hants GUI 13HR England Ashgate Publishing Company Old Post Road Brookfield Vermont 05036 USA British Library Cataloguing in Publication Data Stove, David C. Darwinian Fairytales. - (Avebury Series in Philosophy) I. Title II. Series 116 Library of Congress Catalog Card Number: 95- 83037 ISBN 185972 306 3 Printed and bound in Great Britain by Ipswich Book Co. Ltd., Ipswich, Suffolk Contents Acknowledgements vi Preface vii Essay I : Darwinism's Dilemma 1 Essay II : Where Darwin First Went Wrong about Man 13 Essay III : 'But what about War, Pestilence, and All That?' 31 Essay IV : Population, Privilege, and Malthus'Retreat 39 Essay V : A Horse in the Bathroom or the Struggle for Life 53 Essay VI : Tax and the Selfish Girl or Does Altruism Need Inverted 79 Commas? Essay VII : Genetic Calvinism or Demons and Dawkins 118 Essay VIII: 'He Ain't Heavy, He's My Brother' or Altruism and 137 Shared Genes Essay IX : A New Religion 171 Essay X : Paley's Revenge or Purpose Regained 178 Essay XI : Errors of Heredity or The Irrelevance of Darwinism to 212 Human Life Acknowledgements I owe thanks to far more people than I can name, for their critical comments on draft-parts of this book. -
1 Phil. 4400 Notes #1: the Problem of Induction I. Basic Concepts
Phil. 4400 Notes #1: The problem of induction I. Basic concepts: The problem of induction: • Philosophical problem concerning the justification of induction. • Due to David Hume (1748). Induction: A form of reasoning in which a) the premises say something about a certain group of objects (typically, observed objects) b) the conclusion generalizes from the premises: says the same thing about a wider class of objects, or about further objects of the same kind (typically, the unobserved objects of the same kind). • Examples: All observed ravens so far have been The sun has risen every day for the last 300 black. years. So (probably) all ravens are black. So (probably) the sun will rise tomorrow. Non-demonstrative (non-deductive) reasoning: • Reasoning that is not deductive. • A form of reasoning in which the premises are supposed to render the conclusion more probable (but not to entail the conclusion). Cogent vs. Valid & Confirm vs. Entail : ‘Cogent’ arguments have premises that confirm (render probable) their conclusions. ‘Valid’ arguments have premises that entail their conclusions. The importance of induction: • All scientific knowledge, and almost all knowledge depends on induction. • The problem had a great influence on Popper and other philosophers of science. Inductive skepticism: Philosophical thesis that induction provides no justification for ( no reason to believe) its conclusions. II. An argument for inductive skepticism 1. There are (at most) 3 kinds of knowledge/justified belief: a. Observations b. A priori knowledge c. Conclusions based on induction 2. All inductive reasoning presupposes the “Inductive Principle” (a.k.a. the “uniformity principle”): “The course of nature is uniform”, “The future will resemble the past”, “Unobserved objects will probably be similar to observed objects” 3. -
Can Dolphins Plan Their Behavior?
International Journal of Comparative Psychology, 2010, 23, 664-670. Copyright 2010 by the International Society for Comparative Psychology Can Dolphins Plan their Behavior? Stan A. Kuczaj II University of Southern Mississippi, U.S.A. Mark J. Xitco Jr. Space and Naval Warfare Systems Center Pacific, U.S.A. John D. Gory Disney’s Animal Programs, U.S.A. The ability to plan one’s behavior in novel and appropriate ways when confronted with new problems has been found in members of relatively few species. This ability provides significant evolutionary advantages in that the planner can mentally assess possible solutions prior to implementing one of them, and so need not risk life and limb by muddling though possible solutions to problems via trial and error learning. Although there are instances of wild dolphin behavior that suggest planning, it is difficult to determine if such behaviors were the result of planning, trial and error learning, or even some form of serendipitous discovery. Investigations of problem solving in bottlenose dolphins living in zoological settings can better assess the actual causes of apparent planning, and such controlled studies have demonstrated that dolphins can plan their behaviors in novel contexts. These settings facilitate the assessment of processes that underlie behaviors of interest, while observations from the wild provide invaluable information about apparent planning behavior in various contexts. Integrating findings from both settings is necessary if we hope to fully understand the dolphin capacity for planning. Recent years have witnessed the discovery of a myriad array of cognitive abilities in a variety of species (see Wasserman & Zentall, 2006).