No evidence exists that the accidental origin of life is too improbable to have occurred naturally, but there are numerous attempts to argue so. Dizzying statistics are cited to show that a god had to be responsible. This paper identifies the Argument from Biogenesis, then explains why all these arguments so far fail, and what would actually have to be done to make such an argument succeed. Describes seven general types of error, with examples. Includes a table of forty-seven statistics (...) used by over twenty authors to date. (shrink)

Intelligent design theorist William Dembski hasproposed an ``explanatory filter'' fordistinguishing between events due to chance,lawful regularity or design. We show that ifDembski's filter were adopted as a scientificheuristic, some classical developments inscience would not be rational, and thatDembski's assertion that the filter reliablyidentifies rarefied design requires ignoringthe state of background knowledge. Ifbackground information changes even slightly,the filter's conclusion will vary wildly.Dembski fails to overcome Hume's objections toarguments from design.

Abstract Charles Darwin, in his discussions with Asa Gray and in his published works, doubted whether God could so arrange it that exactly the desired contingent events would occur to cause particular outcomes by natural selection. In this paper, I argue that even a limited or neo-Leibnizian deity could have chosen a world that satisfied some arbitrary set of goals or functions in its outcomes and thus answer Darwin's conundrum. In more general terms, this supports the consistency of natural selection (...) with providentialism, and makes “theistic evolutionism” a coherent position to hold. (shrink)

This paper defends two theses about probabilistic reasoning. First, although modus ponens has a probabilistic analog, modus tollens does not – the fact that a hypothesis says that an observation is very improbable does not entail that the hypothesis is improbable. Second, the evidence relation is essentially comparative; with respect to hypotheses that confer probabilities on observation statements but do not entail them, an observation O may favor one hypothesis H1 over another hypothesis H2 , but O cannot be said (...) to confirm or disconfirm H1 without such relativization. These points have serious consequences for the Intelligent Design movement. Even if evolutionary theory entailed that various complex adaptations are very improbable, that would neither disconfirm the theory nor support the hypothesis of intelligent design. For either of these conclusions to follow, an additional question must be answered: With respect to the adaptive features that evolutionary theory allegedly says are very improbable, what is their probability of arising if they were produced by intelligent design? This crucial question has not been addressed by the ID movement. (shrink)

A variety of different arguments have been offered for teaching ‘‘both sides’’ of the evolution/ID debate in public schools. This article reviews five of the most common types of arguments advanced by proponents of Intelligent Design and demonstrates how and why they are founded on confusion and misunderstanding. It argues on behalf of teaching evolution, and relegating discussion of ID to philosophy or history courses.

That Intelligent Design Creationism rejects the methodological naturalism of modern science in favor of a premodern supernaturalist worldview is well documented and by now well known. An irony that has not been sufficiently appreciated, however, is the way that ID Creationists try to advance their premodern view by adopting (if only tactically) a radical postmodern perspective. This paper will reveal the deep threads of postmodernism that run through the ID Creationist movement’s arguments, as evidenced in the writings and interviews of (...) its key leaders. Seeing their arguments and activities from this perspective highlights the danger to science posed by both ID Creationism and radical postmodernism. (shrink)

The explanatory filter is a proposed method to detect design in nature with the aim of refuting Darwinian evolution. The explanatory filter borrows its logical structure from the theory of statistical hypothesis testing but we argue that, when viewed within this context, the filter runs into serious trouble in any interesting biological application. Although the explanatory filter has been extensively criticized from many angles, we present the first rigorous criticism based on the theory of mathematical statistics.

The design inference uncovers intelligent causes by isolating their key trademark: specified events of small probability. Just about anything that happens is highly improbable, but when a highly improbable event is also specified undirected natural causes lose their explanatory power. Design inferences can be found in a range of scientific pursuits from forensic science to research into the origins of life to the search for extraterrestrial intelligence. This challenging and provocative 1998 book shows how incomplete undirected causes are for science (...) and breathes new life into classical design arguments. It will be read with particular interest by philosophers of science and religion, other philosophers concerned with epistemology and logic, probability and complexity theorists, and statisticians. (shrink)

This paper analyzes William A. Dembski’s theory of intelligent design. According to Dembski, it is possible to empirically detect signs of intelligence in the world by examining properties of observed events. In order to detect design, Dembski has developed the criterion of specified complexity, by means of which he claims to be able to distinguish events that are designed from those that are caused by necessity or chance. Five problems regarding Dembski’s theory are identified and discussed. It is revealed that (...) Dembski’s theory is not rigorously enough defined to be deemed to be a scientific theory. (shrink)

Another look is taken at the model assumptions involved in William Dembski’s (2002a, No Free Lunch: Why Specified Complexity Cannot be Purchased without Intelligence. Roman & Littlefield, Lanham, MA) use of the NFL theorems from optimization theory to disprove the Darwinian theory of evolution by natural selection, and his argument is shown to be irrelevant to evolutionary biology.

As every philosopher knows, “the design argument” concludes that God exists from premisses that cite the adaptive complexity of organisms or the lawfulness and orderliness of the whole universe. Since 1859, it has formed the intellectual heart of creationist opposition to the Darwinian hypothesis that organisms evolved their adaptive features by the mindless process of natural selection. Although the design argument developed as a defense of theism, the logic of the argument in fact encompasses a larger set of issues. William (...) Paley saw clearly that we sometimes have an excellent reason to postulate the existence of an intelligent designer. If we find a watch on the heath, we reasonably infer that it was produced by an intelligent watchmaker. This design argument makes perfect sense. Why is it any different to claim that the eye was produced by an intelligent designer? Both critics and defenders of the design argument need to understand what the ground rules are for inferring that an intelligent designer is the unseen cause of an observed effect. (shrink)

Intelligent design advocate William Dembski has introduced a measure of information called "complex specified information", or CSI. He claims that CSI is a reliable marker of design by intelligent agents. He puts forth a "Law of Conservation of Information" which states that chance and natural laws are incapable of generating CSI. In particular, CSI cannot be generated by evolutionary computation. Dembski asserts that CSI is present in intelligent causes and in the flagellum of Escherichia coli, and concludes that neither have (...) natural explanations. In this paper, we examine Dembski's claims, point out significant errors in his reasoning, and conclude that there is no reason to accept his assertions. (shrink)

Intelligent design advocate William Dembski has introduced a measure of information called “complex specified information”, or CSI. He claims that CSI is a reliable marker of design by intelligent agents. He puts forth a “Law of Conservation of Information” which states that chance and natural laws are incapable of generating CSI. In particular, CSI cannot be generated by evolutionary computation. Dembski asserts that CSI is present in intelligent causes and in the flagellum of Escherichia coli, and concludes that neither have (...) natural explanations. In this paper, we examine Dembski’s claims, point out significant errors in his reasoning, and conclude that there is no reason to accept his assertions. (shrink)

William Dembski claims to have established a decision process to determine when highly unlikely events observed in the natural world are due to Intelligent Design. This article argues that, as no implementable randomness test is superior to a universal Martin-Löf test, this test should be used to replace Dembski's decision process. Furthermore, Dembski's decision process is flawed, as natural explanations are eliminated before chance. Dembski also introduces a fourth law of thermodynamics, his “law of conservation of information,” to argue that (...) information cannot increase by natural processes. However, this article, using algorithmic information theory, shows that this law is no more than the second law of thermodynamics. The article concludes that any discussions on the possibilities of design interventions in nature should be articulated in terms of the algorithmic information theory approach to randomness and its robust decision process. (shrink)

How should the concept of evidence be understood? And how does the concept of evidence apply to the controversy about creationism as well as to work in evolutionary biology about natural selection and common ancestry? In this rich and wide-ranging book, Elliott Sober investigates general questions about probability and evidence and shows how the answers he develops to those questions apply to the specifics of evolutionary biology. Drawing on a set of fascinating examples, he analyzes whether claims about intelligent design (...) are untestable; whether they are discredited by the fact that many adaptations are imperfect; how evidence bears on whether present species trace back to common ancestors; how hypotheses about natural selection can be tested, and many other issues. His book will interest all readers who want to understand philosophical questions about evidence and evolution, as they arise both in Darwin's work and in contemporary biological research. (shrink)

In this book a team of expert academics trained in mathematics, engineering, philosophy, physical anthropology, physics, astrophysics, biology and more investigate the prospects for intelligent design. Edited by William Dembski.

Creationists have acquired a more sophisticated intellectual arsenal. This book reveals the insubstantiality of their arguments. Creationism is no longer the simple notion it once was taken to be. Its new advocates have become more sophisticated in how they present their views, speaking of "intelligent design" rather than "creation science" and aiming their arguments against the naturalistic philosophical method that underlies science, proposing to replace it with a "theistic science." The creationism controversy is not just about the status of Darwinian (...) evolution—it is a clash of religious and philosophical worldviews, for a common underlying fear among Creationists is that evolution undermines both the basis of morality as they understand it and the possibility of purpose in life. In Tower of Babel, philosopher Robert T. Pennock compares the views of the new creationists with those of the old and reveals the insubstantiality of their arguments. One of Pennock's major innovations is to turn from biological evolution to the less charged subject of linguistic evolution, which has strong theoretical parallels with biological evolution, both in content and in the sort of evidence scientists use to draw conclusions about origins. Of course, an evolutionary view of language does conflict with the Bible, which says that God created the variety of languages at one time as punishment for the Tower of Babel. Several chapters deal with the work of Phillip Johnson, a highly influential leader of the new Creationists. Against his and other views, Pennock explains how science uses naturalism and discusses the relationship between factual and moral issues in the creationism-evolution controversy. The book also includes a discussion of Darwin's own shift from creationist to evolutionist and an extended argument for keeping private religious beliefs separate from public scientific knowledge. (shrink)

An anthology of writings by proponents and critics of intelligent design creationism.

In this short, elegant book, Philip Kitcher distills the case for Darwinian evolutionary theory and its implications in a clear and forceful way. Kitcher shows how the alleged rivals to Darwinism, like Intelligent Design, are essentially scientifically bankrupt - and that scientific discoveries, including Darwin's, pose a genuine problem for religious faith, one that neither Darwin's opponents nor his militant defenders have satisfactorily resolved.

The world's leading authorities in the sciences and humanities—dozens of top scholars, including three Nobel laureates—join a cultural and intellectual battle that leaves no human life untouched. Is the universe self-existent, self-sufficient, and self-organizing, or is it grounded instead in a reality that transcends space, time, matter, and energy?

Darwin's greatest accomplishment was to show how life might be explained as the result of natural selection. But does Darwin's theory mean that life was unintended? William A. Dembski argues that it does not. In this book Dembski extends his theory of intelligent design. Building on his earlier work in The Design Inference (Cambridge, 1998), he defends that life must be the product of intelligent design. Critics of Dembski's work have argued that evolutionary algorithms show that life can be explained (...) apart from intelligence. But by employing powerful recent results from the No Free Lunch Theory, Dembski addresses and decisively refutes such claims. As the leading proponent of intelligent design, Dembski reveals a designer capable of originating the complexity and specificity found throughout the cosmos. Scientists and theologians alike will find this book of interest as it brings the question of creation firmly into the realm of scientific debate. (shrink)

A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving. A number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class. These theorems result in a geometric interpretation of what it means for an algorithm to be well suited to an optimization problem. Applications of the NFL theorems to information-theoretic aspects of optimization (...) and benchmark measures of performance are also presented. Other issues addressed include time-varying optimization problems and a priori "head-to-head" minimax distinctions between optimization algorithms, distinctions that result despite the NFL theorems’ enforcing of a type of uniformity over all algorithms. (shrink)

Quantum theory offers mathematical descriptions of measurable phenomena with great facility and accuracy, but it provides absolutely no understanding of why any particular quantum outcome is observed. It is the province of genuine explanations to tell us how things actually work—that is, why such descriptions hold and why such predictions are true. Quantum theory is long on the what, both mathematically and observationally, but almost completely silent on the how and the why. What is even more interesting is that, in (...) some sense, this state of affairs seems to be a necessary consequence of the empirical adequacy of quantum descriptions. One of the most noteworthy achievements of quantum theory is the accurate prediction of phenomena that, on pain of experimental contradiction, have no physical explanation. It is the purpose of this essay to make clear why quantum mechanics and quantum field theory are complete physical descriptions that describe the metaphysical incompleteness of the physical world, then to press the negative implications of this fact for naturalistic metaphysics. (shrink)

William Dembski holds that "the origin of information is best sought in intelligent causes" ("Intelligent Design as a Theory of Information", 1997). In particular, Dembski argues that Darwinism is not able to explain the existence of biological structures that contain a certain kind of information – "complex specified information" (CSI). To explain these informational features of living systems, we must instead appeal to the choices made by an intelligent designer.

Intelligent design begins with a seemingly innocuous question: Can objects, even if nothing is known about how they arose, exhibit features that reliably signal the action of an intelligent cause? To see what’s at stake, consider Mount Rushmore. The evidence for Mount Rushmore’s design is direct—eyewitnesses saw the sculptor Gutzon Borglum spend the better part of his life designing and building this structure. But what if there were no direct evidence for Mount Rushmore’s design? What if humans went extinct and (...) aliens, visiting the earth, discovered Mount Rushmore in substantially the same condition as it is now? (shrink)

I consider what it might mean to teach creationism and offer a variety of educational, legal, religious, and philosophical arguments for why it is improper to teach it in public school science classes and possibly elsewhere as well. I rebut the standard creationist arguments for inclusion. I also rebut Rawlsian arguments offered by philosopher of religion Alvin Plantinga.

Many searches are needle-in-the-haystack problems, looking for small targets in large spaces. In such cases, blind search stands no hope of success. Success, instead, requires an assisted search. But whence the assistance required for a search to be successful? To pose the question this way suggests that successful searches do not emerge spontaneously but need themselves to be discovered via a search. The question then naturally arises whether such a higher-level “search for a search” is any easier than the original (...) search. We prove two results: (1) The Horizontal No Free Lunch Theorem, which shows that average relative performance of searches never exceeds unassisted or blind searches. (2) The Vertical No Free Lunch Theorem, which shows that the difficulty of searching for a successful search increases exponentially compared to the difficulty of the original search. (shrink)

Mainstream modern science, with its analytical methods and its “objective” teachings, is the dominant force in modern culture. If science simply discovered and taught the truth about reality, who could object? But mainstream science does not simply “discover the truth”; instead it relies in part on a set of unscientific, false philosophical presuppositions as the basis for many of its conclusions. Thus, crucial aspects of what modern science teaches us are simply shabby philosophy dressed up in a white lab coat.

Journal of Experimental and Theoretical Artificial Intelligence What is the difference between a simulation of X and simply another instance of X? Is there a point at which the ‘‘virtual reality’’ of a model becomes the real thing? This paper examines these questions using cases taken from recent developments in evolutionary engineering and artificial life research. By implementing the Darwinian mechanism and setting it to work on a design problem, scientists and engineers find that evolution not only can improve prior (...) designs, but also produce novel technological solutions. Artificial life systems Tierra and Avida which operate at a higher level of abstraction than evolutionary engineering applications. I analyze simulation as a rational concept ‘‘S simulates R’’ and argue that it always includes some relevant property P, of R, that is captured but that there is always also some other that it omits, and that pragmatic factors fix what counts as relevant. The border between a simulation and an instance can change depending upon the context. I show that in one sense, evo-technology and artificial life simulate organic evolution, but in another relevant sense they are instances of evolution itself. Biologists can use such systems to experimentally test evolutionary hypotheses such as those involving the evolution of complex features and altruism. This analysis suggests lines for future research on broader questions about models classification and confirmation. (shrink)