The Fatal Flaws of 'Falsifiability' and 'Falsification'
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The Epistemology of Evidence in Cognitive Neuroscience1
To appear in In R. Skipper Jr., C. Allen, R. A. Ankeny, C. F. Craver, L. Darden, G. Mikkelson, and R. Richardson (eds.), Philosophy and the Life Sciences: A Reader. Cambridge, MA: MIT Press. The Epistemology of Evidence in Cognitive Neuroscience1 William Bechtel Department of Philosophy and Science Studies University of California, San Diego 1. The Epistemology of Evidence It is no secret that scientists argue. They argue about theories. But even more, they argue about the evidence for theories. Is the evidence itself trustworthy? This is a bit surprising from the perspective of traditional empiricist accounts of scientific methodology according to which the evidence for scientific theories stems from observation, especially observation with the naked eye. These accounts portray the testing of scientific theories as a matter of comparing the predictions of the theory with the data generated by these observations, which are taken to provide an objective link to reality. One lesson philosophers of science have learned in the last 40 years is that even observation with the naked eye is not as epistemically straightforward as was once assumed. What one is able to see depends upon one’s training: a novice looking through a microscope may fail to recognize the neuron and its processes (Hanson, 1958; Kuhn, 1962/1970).2 But a second lesson is only beginning to be appreciated: evidence in science is often not procured through simple observations with the naked eye, but observations mediated by complex instruments and sophisticated research techniques. What is most important, epistemically, about these techniques is that they often radically alter the phenomena under investigation. -
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. -
Analysis - Identify Assumptions, Reasons and Claims, and Examine How They Interact in the Formation of Arguments
Analysis - identify assumptions, reasons and claims, and examine how they interact in the formation of arguments. Individuals use analytics to gather information from charts, graphs, diagrams, spoken language and documents. People with strong analytical skills attend to patterns and to details. They identify the elements of a situation and determine how those parts interact. Strong interpretations skills can support high quality analysis by providing insights into the significance of what a person is saying or what something means. Inference - draw conclusions from reasons and evidence. Inference is used when someone offers thoughtful suggestions and hypothesis. Inference skills indicate the necessary or the very probable consequences of a given set of facts and conditions. Conclusions, hypotheses, recommendations or decisions that are based on faulty analysis, misinformation, bad data or biased evaluations can turn out to be mistaken, even if they have reached using excellent inference skills. Evaluative - assess the credibility of sources of information and the claims they make, and determine the strength and weakness or arguments. Applying evaluation skills can judge the quality of analysis, interpretations, explanations, inferences, options, opinions, beliefs, ideas, proposals, and decisions. Strong explanation skills can support high quality evaluation by providing evidence, reasons, methods, criteria, or assumptions behind the claims made and the conclusions reached. Deduction - decision making in precisely defined contexts where rules, operating conditions, core beliefs, values, policies, principles, procedures and terminology completely determine the outcome. Deductive reasoning moves with exacting precision from the assumed truth of a set of beliefs to a conclusion which cannot be false if those beliefs are untrue. Deductive validity is rigorously logical and clear-cut. -
Ohio Rules of Evidence
OHIO RULES OF EVIDENCE Article I GENERAL PROVISIONS Rule 101 Scope of rules: applicability; privileges; exceptions 102 Purpose and construction; supplementary principles 103 Rulings on evidence 104 Preliminary questions 105 Limited admissibility 106 Remainder of or related writings or recorded statements Article II JUDICIAL NOTICE 201 Judicial notice of adjudicative facts Article III PRESUMPTIONS 301 Presumptions in general in civil actions and proceedings 302 [Reserved] Article IV RELEVANCY AND ITS LIMITS 401 Definition of “relevant evidence” 402 Relevant evidence generally admissible; irrelevant evidence inadmissible 403 Exclusion of relevant evidence on grounds of prejudice, confusion, or undue delay 404 Character evidence not admissible to prove conduct; exceptions; other crimes 405 Methods of proving character 406 Habit; routine practice 407 Subsequent remedial measures 408 Compromise and offers to compromise 409 Payment of medical and similar expenses 410 Inadmissibility of pleas, offers of pleas, and related statements 411 Liability insurance Article V PRIVILEGES 501 General rule Article VI WITNESS 601 General rule of competency 602 Lack of personal knowledge 603 Oath or affirmation Rule 604 Interpreters 605 Competency of judge as witness 606 Competency of juror as witness 607 Impeachment 608 Evidence of character and conduct of witness 609 Impeachment by evidence of conviction of crime 610 Religious beliefs or opinions 611 Mode and order of interrogation and presentation 612 Writing used to refresh memory 613 Impeachment by self-contradiction -
"What Is Evidence?" a Philosophical Perspective
"WHAT IS EVIDENCE?" A PHILOSOPHICAL PERSPECTIVE PRESENTATION SUMMARY NATIONAL COLLABORATING CENTRES FOR PUBLIC HEALTH 2007 SUMMER INSTITUTE "MAKING SENSE OF IT ALL" BADDECK, NOVA SCOTIA, AUGUST 20-23 2007 Preliminary version—for discussion "WHAT IS EVIDENCE?" A PHILOSOPHICAL PERSPECTIVE PRESENTATION SUMMARY NATIONAL COLLABORATING CENTRES FOR PUBLIC HEALTH 2007 SUMMER INSTITUTE "MAKING SENSE OF IT ALL" BADDECK, NOVA SCOTIA, AUGUST 20-23 2007 NATIONAL COLLABORATING CENTRE FOR HEALTHY PUBLIC POLICY JANUARY 2010 SPEAKER Daniel Weinstock Research Centre on Ethics, University of Montréal EDITOR Marianne Jacques National Collaborating Centre for Healthy Public Policy LAYOUT Madalina Burtan National Collaborating Centre for Healthy Public Policy DATE January 2010 The aim of the National Collaborating Centre for Healthy Public Policy (NCCHPP) is to increase the use of knowledge about healthy public policy within the public health community through the development, transfer and exchange of knowledge. The NCCHPP is part of a Canadian network of six centres financed by the Public Health Agency of Canada. Located across Canada, each Collaborating Centre specializes in a specific area, but all share a common mandate to promote knowledge synthesis, transfer and exchange. The production of this document was made possible through financial support from the Public Health Agency of Canada and funding from the National Collaborating Centre for Healthy Public Policy (NCCHPP). The views expressed here do not necessarily reflect the official position of the Public Health Agency of Canada. This document is available in electronic format (PDF) on the web site of the National Collaborating Centre for Healthy Public Policy at www.ncchpp.ca. La version française est disponible sur le site Internet du CCNPPS au www.ccnpps.ca.