The Design Inference
Eliminating Chance through Small Probabilities
Nonfiction, Science & Nature, Science, Other Sciences, Philosophy & Social Aspects, Mathematics
| Author: | William A. Dembski | ISBN: | 9781139930604 |
| Publisher: | Cambridge University Press | Publication: | September 13, 1998 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | William A. Dembski |
| ISBN: | 9781139930604 |
| Publisher: | Cambridge University Press |
| Publication: | September 13, 1998 |
| Imprint: | Cambridge University Press |
| Language: | English |
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 (i.e. conforms to an independently given pattern) 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.
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 (i.e. conforms to an independently given pattern) 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.
