The Design Inference by William A. Dembski
Eliminating Chance through Small Probabilities
Presents a formal method for inferring intelligent causation by distinguishing outcomes due to necessity, chance, or design via an explanatory filter. It introduces specified complexity—patterns that are both highly improbable and independently specified—as the key criterion for detecting design and posits a universal probability bound to rule out chance explanations. Using examples from cryptography, forensics, archaeology, and biology, it argues that design detection can be a rigorous, testable part of scientific inquiry. It also critiques strictly naturalistic accounts when independent specification and extreme improbability point to purposeful arrangement.
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- Published
- 1998
- Nationality
- American
- Length
- Short
- Pages
- 240-250
- Original Language
- English
- Avg User Rating
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(5.0)
- Alternate Titles
- None
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