Matches in DBpedia 2014 for { ?s ?p The Design Inference: Eliminating Chance through Small Probabilities (1998) is a book by American philosopher and mathematician William A. Dembski, a proponent of intelligent design, which sets out to establish approaches by which evidence of intelligent agency could be inferred in natural and social situations. In the book he distinguishes between 3 general modes of competing explanations in order of priority: regularity, chance, and design. The processes in which regularity, chance, and design are ruled out one by one until one remains as a reasonable and sufficient explanation for an event, are what he calls an "explanatory filter". It is a method that tries to eliminate competing explanations in a systematic fashion including when a highly improbable event conforms to a discernible pattern that is given independently of the event itself. This pattern is Dembski's concept of specified complexity. Throughout the book he uses diverse examples such as detectability of spontaneous generation and occurrence of natural phenomena and cases of deceit like ballot rigging, plagiarism, falsification of data, etc. The filter states that if the thing being examined cannot be explained by regularity, and if it is too statistically unlikely to be explained by chance, and contains an independently given pattern, then it may be attributed to design. Dembski says his concept is useful to those concerned with detecting design in different fields: forensic scientists, detectives, insurance fraud investigators, cryptographers, and SETI investigators, as well theologians and others who argue for the concepts of the fine-tuned universe and the Anthropic Principle.. }
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- The_Design_Inference abstract "The Design Inference: Eliminating Chance through Small Probabilities (1998) is a book by American philosopher and mathematician William A. Dembski, a proponent of intelligent design, which sets out to establish approaches by which evidence of intelligent agency could be inferred in natural and social situations. In the book he distinguishes between 3 general modes of competing explanations in order of priority: regularity, chance, and design. The processes in which regularity, chance, and design are ruled out one by one until one remains as a reasonable and sufficient explanation for an event, are what he calls an "explanatory filter". It is a method that tries to eliminate competing explanations in a systematic fashion including when a highly improbable event conforms to a discernible pattern that is given independently of the event itself. This pattern is Dembski's concept of specified complexity. Throughout the book he uses diverse examples such as detectability of spontaneous generation and occurrence of natural phenomena and cases of deceit like ballot rigging, plagiarism, falsification of data, etc. The filter states that if the thing being examined cannot be explained by regularity, and if it is too statistically unlikely to be explained by chance, and contains an independently given pattern, then it may be attributed to design. Dembski says his concept is useful to those concerned with detecting design in different fields: forensic scientists, detectives, insurance fraud investigators, cryptographers, and SETI investigators, as well theologians and others who argue for the concepts of the fine-tuned universe and the Anthropic Principle.".