Beatty on Chance and Natural Selection

Similar documents
Evolution by Natural Selection 1

1/9. Locke 1: Critique of Innate Ideas

CONCEPTUAL CONTINGENCY AND ABSTRACT EXISTENCE

Practice Questions 1: Evolution

Understanding by Design. Title: BIOLOGY/LAB. Established Goal(s) / Content Standard(s): Essential Question(s) Understanding(s):

Biological kinds and the causal theory of reference

Single and Multiple-Case Study Designs IS493

Quine on truth by convention

Science Plus: A Response to the Responses to Scientific Research in Education

How does the problem of relativity relate to Thomas Kuhn s concept of paradigm?

Primary and Secondary Qualities Charles Kaijo

Methodological Issues for Interdisciplinary Research

The Slate Is Not Empty: Descartes and Locke on Innate Ideas

Last time we had arrived at the following provisional interpretation of Aquinas second way:

Arguments and Dialogues

Writing Thesis Defense Papers

Binomial Sampling and the Binomial Distribution

Kant on Time. Diana Mertz Hsieh Kant (Phil 5010, Hanna) 28 September 2004

Holland s GA Schema Theorem

Class on Hedley Bull. 1. Some general points about Bull s view

THE CIRCULARITY OF EVOLUTIONARY RELIABILISM

Biology Notes for exam 5 - Population genetics Ch 13, 14, 15

APPENDIX 2 IASB MEETING, SEPTEMBER 2007, AGENDA PAPER 7 APPENDIX 2 SECTION 1: THE REPORTING ENTITY CONCEPT. Introduction

Validity, Fairness, and Testing

Use Your Master s Thesis Supervisor

Economic History Association

ANOTHER GENERATION OF GENERAL EDUCATION

Lab 11. Simulations. The Concept

Modern Science vs. Ancient Philosophy. Daniel Gilbert s theory of happiness as presented in his book, Stumbling on Happiness,

AN INTRODUCTION TO SOCIOLOGICAL THEORIES

A simple solution to the hardest logic puzzle ever

Positive Philosophy by August Comte

P R I M A R Y A N D S E C O N D A R Y Q U A L I T I E S

Introduction to Hypothesis Testing OPRE 6301

Why are thesis proposals necessary? The Purpose of having thesis proposals is threefold. First, it is to ensure that you are prepared to undertake the

3. Logical Reasoning in Mathematics

You will by now not be surprised that a version of the teleological argument can be found in the writings of Thomas Aquinas.

Against Zangwill s Extreme Formalism About Inorganic Nature

Fairfield Public Schools

Killing And Letting Die

People have thought about, and defined, probability in different ways. important to note the consequences of the definition:

QUALITATIVE RESEARCH LAUREN WOLLMAN, PH.D CENTER FOR HOMELAND DEFENSE AND SECURITY DEPT. OF NATIONAL SECURITY AFFAIRS NAVAL POSTGRADUATE SCHOOL

This content downloaded on Tue, 19 Feb :28:43 PM All use subject to JSTOR Terms and Conditions

Unifying Epistemologies by Combining World, Description and Observer

WRITING A CRITICAL ARTICLE REVIEW

Critical Analysis So what does that REALLY mean?

WRITING A RESEARCH PAPER FOR A GRADUATE SEMINAR IN POLITICAL SCIENCE Ashley Leeds Rice University

What is Undergraduate Education?

A Non-Linear Schema Theorem for Genetic Algorithms

The Limits of Dewey s Philosophy: Cultural Historical Activity Theory and Experience

Chapter 7: The etiological theory. 7.1 Introduction

The Separability of Free Will and Moral Responsibility

10 Evolutionarily Stable Strategies

Scientific Method Worksheet

USES OF CONSUMER PRICE INDICES

Time and Causation in Gödel s Universe.

Philosophy 104. Chapter 8.1 Notes

Reality in the Eyes of Descartes and Berkeley. By: Nada Shokry 5/21/2013 AUC - Philosophy

Short-Run Mechanistic Probability

Locke s psychological theory of personal identity

Formal, Analytical Essay Writing. Review: Literary Analysis Format; Plagiarism (page # s refer to Writers Inc.)

WHERE DO OUR MORALS COME FROM? Moral relativism and self-interest theory

Practical Research. Paul D. Leedy Jeanne Ellis Ormrod. Planning and Design. Tenth Edition

1.7 Graphs of Functions

IEOR 6711: Stochastic Models I Fall 2012, Professor Whitt, Tuesday, September 11 Normal Approximations and the Central Limit Theorem

Inductive Reasoning Page 1 of 7. Inductive Reasoning

Defining and Assessing Regulatory Excellence

Learning and Teaching

Divine command theory

Philosophy 1100: Introduction to Ethics

TO HELL WITH SPEECH ACT THEORY

Independent samples t-test. Dr. Tom Pierce Radford University

BEPS ACTIONS Revised Guidance on Profit Splits

The dispute is about the sale of a payment protection insurance (PPI) policy in connection with a credit card account with the firm in April 2007.

Appendix A: Science Practices for AP Physics 1 and 2

Center for Effective Organizations

Cultural Relativism. 1. What is Cultural Relativism? 2. Is Cultural Relativism true? 3. What can we learn from Cultural Relativism?

Utah State Office of Education Elementary STEM Endorsement Course Framework Nature of Science and Engineering

Compass Interdisciplinary Virtual Conference Oct 2009

Science and Scientific Reasoning. Critical Thinking

5544 = = = Now we have to find a divisor of 693. We can try 3, and 693 = 3 231,and we keep dividing by 3 to get: 1

MEMO TO: FROM: RE: Background

Causality and the Doomsday Argument

Introduction to Hypothesis Testing

A Few Basics of Probability

Commercial leases and insurance claims

Regular Expressions and Automata using Haskell

Test Bias. As we have seen, psychological tests can be well-conceived and well-constructed, but

Writer moves somewhat beyond merely paraphrasing someone else s point of view or

Critical Study David Benatar. Better Never To Have Been: The Harm of Coming into Existence (Oxford: Oxford University Press, 2006)

Oracle Turing machines faced with the verification problem

IQ Testing: A critique for parents of children with developmental disabilities

THE INDIVIDUAL AND SOCIAL MODELS OF DISABILITY

LAB : THE CHI-SQUARE TEST. Probability, Random Chance, and Genetics

The Principle of Consistency and the Conditions for Creativity

Brought to you by the NVCC-Annandale Reading and Writing Center

Mathematical Induction

Open Access and Liberal Arts Colleges: Looking Beyond Research Institutions

Evolution (18%) 11 Items Sample Test Prep Questions

Cosmological Arguments for the Existence of God S. Clarke

Transcription:

Digital Commons@ Loyola Marymount University and Loyola Law School Philosophy Faculty Works Philosophy 9-1-1989 Beatty on Chance and Natural Selection Timothy Shanahan Loyola Marymount University, tshanahan@lmu.edu Repository Citation Shanahan, Timothy, "Beatty on Chance and Natural Selection" (1989). Philosophy Faculty Works. Paper 10. http://digitalcommons.lmu.edu/phil_fac/10 This Article is brought to you for free and open access by the Philosophy at Digital Commons @ Loyola Marymount University and Loyola Law School. It has been accepted for inclusion in Philosophy Faculty Works by an authorized administrator of Digital Commons @ Loyola Marymount University and Loyola Law School. For more information, please contact digitalcommons@lmu.edu.

Beatty on Chance and Natural Selection Author(s): Timothy Shanahan Source: Philosophy of Science, Vol. 56, No. 3 (Sep., 1989), pp. 484-489 Published by: The University of Chicago Press on behalf of the Philosophy of Science Association Stable URL: http://www.jstor.org/stable/187997 Accessed: 22-04-2016 21:37 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://about.jstor.org/terms JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. The University of Chicago Press, Philosophy of Science Association are collaborating with JSTOR to digitize, preserve and extend access to Philosophy of Science

DISCUSSION: BEATTY ON CHANCE AND NATURAL SELECTION* TIMOTHY SHANAHAN Department of Philosophy Loyola Marymount University In his (1984) John Beatty correctly identifies the issue of the role of chance in evolution as one of the liveliest disputes in evolutionary biology. He argues, on the basis of a carefully articulated example, that "Even on a proper construal of 'natural selection', it is difficult to distinguish between the 'improbable results of natural selection' and evolution by random drift". His other remarks indicate that he is thinking of conceptual as well as practical indistinguishability. In this discussion I take issue with one of the consequences Beatty draws from his example. I argue that the example at most shows that the effects of drift and selection are sometimes difficult to separate in practice, but that the stronger conceptual claim is not warranted. The deeper problems raised by the example are seen to demand causal, rather then conceptual, analysis. In his (1984) John Beatty explicates the relationship between chance and natural selection in evolutionary theory. He rejects the widespread view that the fitness of an organism is simply that organism's actual reproductive success, because this renders the distinction between random genetic drift and natural selection opaque. Instead he expresses his preference for a propensity interpretation according to which: "[T]he fitness of an organism is the number of offspring it is physically disposed to contribute in a particularly specified environment' (p. 192; compare Mills and Beatty 1979). On this interpretation natural selection could be understood as sampling on the basis of such fitness differences, and random drift as sampling irrespective of such fitness differences. An apparent virtue of this approach is that the somewhat nebulous question of the roles of chance and natural selection in evolution could then be stated more perspicuously as "the question of the relative evolutionary importance of sampling without regard to fitness differences vs. sampling with regard to fitness differences" (pp. 190-191). Beatty favors the propensity interpretation over the common, but erroneous, view of fitness because the latter view manifestly fails, in every case, to distinguish drift and selection. Following the above considerations, however, he adds: "But I am afraid that, as much as I would like *Received February 1987; revised June 1987. Philosophy of Science, 56 (1989) pp. 484-489. Copyright C 1989 by the Philosophy of Science Association. 484

BEATTY ON CHANCE AND NATURAL SELECTION 485 the distinction between natural selection and random drift to be a clearcut one, it is not as clear-cut as the preceding discussion suggests" (p. 192). Even on the propensity interpretation, it seems, there will be some cases in which drift and selection are indistinguishable, namely, where the results of natural selection, if such they be, are not what we would expect. He gives the following example to support his claim that: "Even on a proper construal of 'natural selection', it is difficult to distinguish between the 'improbable results of natural selection' and evolution by random drift" (p. 183). We are to imagine two kinds of moths, light and dark, which live in a forest in which 40% of the trees have light-colored bark, and 60% of the trees have dark-colored bark. In addition there are in the forest color-sensitive predators which prey on the moths. We would expect, ceteris paribus, that in such an environment the dark-colored moths would be fitter, since the forest as a whole affords them more protection from predators than it does for their light-colored neighbors. So far so good. But suppose, Beatty goes on, that in one particular generation we discover that a greater proportion of dark moths than was characteristic of the population as a whole, and similarly a smaller proportion of light-colored moths, were killed by predation. Suppose also that we have evidence that the dark moths were perched on light trees when attacked, and the light moths were perched on dark trees. Although the percentage of dark trees is greater than the percentage of light trees, the dark moths landed on the light trees more often. This is the example. Beatty then raises the following question: "Is the change in frequency of genes and genotypes in question a matter of natural selection, or a matter of random drift?" Given the definitions of natural selection and drift introduced earlier, this question can be reformulated: "[I]s the change in question the result of sampling discriminately or indiscriminately with regard to fitness differences?" (p. 195). He sees a problem in answering this question unambiguously. On the one hand, it is difficult to maintain that the predation of dark moths on light trees is indiscriminate sampling. After all, such moths presumably are dead because they were too conspicuous to predators. "On the other hand," he says, "it is also difficult to maintain that selection alone is the basis of the change. At least, it is difficult to maintain that the fittest were selected" (pp. 195-196). He concludes from this example that it seems that we must say of some evolutionary changes that they are to some extent, or in some sense, a matter of natural selection and to some extent, or in some sense, a matter of random drift. And the reason (one of the reasons) we must say this is that it is conceptually difficult to distinguish natural selection from random drift, especially where improbable results of natural selection are concerned. (p. 196)

486 TIMOTHY SHANAHAN Beatty's argument, if sound, would be interesting because of its implications for the structure of evolutionary theory in which selection and drift are understood to be conceptually distinct, but interacting, forces. On the other hand, if the moth example shows only that the two processes are practically difficult to distinguish in some cases, then it merely illustrates a fact that biologists are only too aware of already. This example, therefore, deserves closer examination. Beatty locates the difficulty in the moth example as that of distinguishing between natural selection and drift, since each possibility seems problematic. He doesn't say why it is difficult to maintain that selection alone was the basis of the change, but presumably he has in mind the fact that the dark moths are fitter than the light moths with respect to their predominantly dark forest home, so they couldn't have been discriminated against on the basis of fitness differences, which were clearly in their favor. But is this analysis correct? It depends, of course, on what we take to be the relevant environment of the dark moths that were killed. Is it the forest that contains a certain percentage of dark and light trees, or is it the light tree each ill-fated dark moth was perched upon when it was killed? A dark moth may be fitter than a light moth with respect to a forest containing more dark trees than light trees, but if we take a smaller unit for our reference environment, for example, the particular tree each moth is perched upon, then those same dark moths may be less fit with respect to that environment than the light moths are. In other words, the identification of the relevant environment becomes crucial for the assignment of fitness values, and consequently for the determination, in any given sampling event, of the roles of drift and selection. The problem of identifying the relevant environment, while often difficult, is not obviously a conceptual problem but rather involves the difficulty of correctly isolating and weighting the causal factors connecting various environmental properties to an organism's survival and reproduction. The precise details of how this is to be done are at present fuzzy, but the general outline of a solution can be sketched. (An anonymous referee for this journal informs me that Robert Brandon has interesting work in progress on this problem. I'm afraid that here I can only muddle along with the admittedly rather rough-hewn analysis that follows. Readers are, of course, invited to improve upon it.) For purposes of precise evolutionary explanation we should include in our analysis the most fine-grained environment in which the properties of interest actually play a causal role in the survival and reproduction of that organism. Because of the immediacy of some environments to an organism's survival and reproductive interests, such environments will generally play a relatively more important role in our analysis of that

BEATTY ON CHANCE AND NATURAL SELECTION 487 organism's fitness than will wider, more inclusive environments. This principle does not exclude consideration of patchy environments-on the contrary, the greater an organism's ability to discriminate and take advantage of uneven environments, the more weight must be assigned to that environment in contributing to an organism's fitness. Indeed, we can think of each organism as belonging to an indefinite variety of environments which overlap to various degrees; the environmental component of its "absolute fitness" is a function of all of these, weighted in an inverse proportion to each environment's importance at the moment. Thus the fitness of an organism changes, as its relationships to various environments change, through time. As if this weren't daunting enough, the fact that other highly mobile organisms constitute part of the environment of most organisms makes the prospects of determining "the" fitness of any organism at a specified time staggering to contemplate. (It should be noted that speaking of the fitness of genotypes, rather than of organisms, doesn't help, since the fitness of a genotype is just the average of the fitnesses of the organisms possessing that genotype.) Fortunately, however, the determination of the (absolute) fitness of an organism is rarely if ever necessary, since such "overall fitness", as such, plays no causal role in an organism's survival and reproduction (Sober 1984). What matters is, rather, the causally salient features of its environment, which do in fact affect its survival or reproductive success. This can be seen by returning to the moth example. There is certainly no conceptual difficulty in thinking that the dark moths that were killed while perched on light trees were discriminated against on the basis of their lower fitness in virtue of their relationship to that particular environment. Given the scenario as it is presented, the particular light-colored trees the dark moths were perched upon, as well as the color-sensitive predators, constitute the primary causal factors in that sampling event. These factors, in effect, "screen off" less relevant causal factors (such as the patchiness of the forest as a whole) from the moths' survival and reproductive success. (Compare Salmon (1984) on the notion of screening-off. Brandon (1982) shows how this notion can be fruitfully applied to biological analysis.) Their overall fitness, determined in part by the patchy forest home they inhabit, is in this case causally irrelevant. (Why these particular moths lit on light-barked trees when dark-barked trees are more common is an interesting, but strictly different, question. See below.) This is not to deny the causal relevance of more inclusive environments in the entire life history of an organism, but is meant to distinguish components of fitness which are, or are not, relevant to the analysis of a given change in gene frequencies. Beatty is right to index the fitness of an organism to a specific environment, since this is the causally significant consideration. But because he fails to adequately consider the causal role of the

488 TIMOTHY SHANAHAN micro-environment (the individual trees) of the organisms in question, his analysis quite literally risks missing the trees for the forest. Another part of the apparent conceptual difficulty in Beatty's example may result simply from a foreshortened perspective. The identification of evolutionary forces must usually be inferred indirectly from trends over several generations back to their environmental and genetic causes. The example concerns a change in gene frequency within a single generation. In this case we have no way of telling whether the moths just happened to land on the trees they did, or whether they landed on those trees because of some genetically influenced disposition. A study of this population of moths over several generations might disclose whether this behavior was a recurrent one, and thus indicative of a genetic basis for the behavior. Of course, merely observing either a uni-directional or a completely random change in gene frequencies in the moths over several generations would not suffice to prove that the changes were due to selection rather than to drift, or vice versa, any more than obtaining all heads upon flipping a coin a large (or even infinite) number of times proves that the coin is biased (van Fraassen 1977). The point here is just that in the absence of detailed knowledge of the relevant causal factors responsible for an evolutionary pattern, even one spanning many generations, we cannot infallibly identify the evolutionary forces responsible for changes in gene frequencies. This problem is of course magnified if we are dealing, as in Beatty's example, with just a single generation. I suspect that the appearance of a conceptual difficulty stems in part from the very real practical difficulty of correctly analyzing the moth example in the absence of the necessary causal information, not from any essential conceptual indistinguishability between drift and natural selection. The primary thesis of this discussion should already be tolerably clear from the foregoing remarks, but it can now be made explicit. Beatty considers the problem posed by the moth example to be, at least in part, a conceptual one. But this risks confusing our inability in some cases to identify the relative values of the evolutionary processes at work with the difficulty of clearly stating the differences between these processes. The question raised by the moth example is not whether drift and selection are conceptually difficult to distinguish-they are not. Rather, the moth example raises the question of how we are to individuate environments for, and make valid inferences from evolutionary patterns to, the determination of causally relevant properties responsible for fitness differences and changes in gene frequencies. Hence, the problem is one of detailed causal, rather than conceptual, analysis. The moral to be drawn from Beatty's paper and the present discussion, therefore, is the necessity of supplementing the study of evolutionary phenomena with the detailed analysis of the causal factors responsible for those phenomena.

BEATTY ON CHANCE AND NATURAL SELECTION 489 REFERENCES Beatty, J. (1984), "Chance and Natural Selection", Philosophy of Science 51: 183-211. Brandon, R. (1982), "The Levels of Selection", in P. Asquith and T. Nickles (eds.), PSA 1982, vol. 1. East Lansing, Mich.: Philosophy of Science Association, pp. 315-323. Mills, S. K., and Beatty, J. (1979), "A Propensity Interpretation of Fitness", Philosophy of Science 46: 263-286. Salmon, W. (1984), Scientific Explanation and the Causal Structure of the World. Princeton: Princeton University Press. Sober, E. (1984), The Nature of Selection: Evolutionary Theory in Philosophical Focus. Cambridge, Mass.: Bradford Book/MIT Press. van Fraassen, B. C. (1977), "Relative Frequencies", in W. Salmon (ed.), Hans Reichenbach: Logical Empiricist. Dordrecht: Reidel, pp. 129-167.