Intelligent design and mathematical statistics: A troubled alliance
Biology and Philosophy 23 (4):545-553 (2008)
| Abstract | 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. | |||||||||
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Jeffrey Koperski (2003). Intelligent Design and the End of Science. American Catholic Philosophical Quarterly 77 (4):567-588.
Elliott Sober (2008). Intelligent Design, Irreducible Complexity, and Minds—a Reply to John Beaudoin. Faith and Philosophy 25 (4):443-446.
Graham Oppy (1996). Hume and the Argument for Biological Design. Biology and Philosophy 11 (4):519-534.
Ryan Nichold (2003). Scientific Content, Testability, and the Vacuity of Intelligent Design Theory. American Catholic Philosophical Quarterly 77 (4):591-611.
John S. Wilkins & Wesley R. Elsberry (2001). The Advantages of Theft Over Toil: The Design Inference and Arguing From Ignorance. Biology and Philosophy 16 (5):711-724.
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