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The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory)

Обложка книги The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory)

The Design Inference: Eliminating Chance through Small Probabilities (Cambridge Studies in Probability, Induction and Decision Theory)

Most of this book is unreadable because of the math, but one thing stands out:



The "Explanitory Filter" is woefully inadequate to the task. For instance, if you try to run "the designer" through it, it comes up as not random and not lawful, therefore "designed". This leads to an infinite regress.



Worse, you can't even feed Darwinian evolution into it. Evolution consists of two main factors: random mutation and natural selection. But the Explanitory Filter can only handle one factor at a time. If you put random mutation through it, it comes up (naturally) as random. If you put natural selection through it, it comes up as "law". But if you try to put them both through it, you can't do it at all because the EF can only handle one thing at a time.



Once you see that, you can ignore the rest of the book.



P.S. Dembski announced last summer that he no longer put much credibility into the Explanitory Filter. Then the whole world laughed at him and he quickly recanted.
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