The Design Inference: Eliminating Chance through Small Probabilities
Dembski, William A; Ewert, Winston
Language: English
Published by Discovery Institute, 2023
- Softcover
- Used

Seller: Austin Goodwill 1101, Austin, TX, U.S.A.Austin Goodwill 1101
AbeBooks seller since May 21, 2021
Condition: Used - Good
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Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable.
Seller Inventory # CTXV.1637120346.G
- Title
- The Design Inference: Eliminating Chance through Small Probabilities
- Author
- Dembski, William A; Ewert, Winston
- Publisher
- Discovery Institute
- Publication year
- 2023
- Condition
- good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1637120346
- ISBN 13
- 9781637120347
- Edition
- 2nd Edition
A landmark of the intelligent design movement, The Design Inference revolutionized our understanding of how we detect intelligent causation. Originally published twenty-five years ago, it has now been revised and expanded into a second edition that greatly sharpens its exploration of design inferences. This new edition tackles questions about design left unanswered by David Hume and Charles Darwin, navigating the intricate nexus of chance, probability, and design, and thereby offering a novel lens for understanding the world. Using modern concepts of probability and information, it exposes the inadequacy of undirected causes in scientific inquiry. It lays out how we infer design via events that are both improbable and specified. Amid controversial applications to biology, it makes a compelling case for intelligent design, challenging the prevalent neo-Darwinian evolutionary narrative. Dembski and Ewert have written a groundbreaking work that doesn’t merely comment on contemporary scientific discourse but fundamentally transforms it.
"Synopsis" may belong to another edition of this title.
About the Author
Winston Ewert is a software engineer and intelligent design researcher. He received his PhD from Baylor University in electrical and computer engineering. He specializes in computer simulations of evolution, genomic design patterns, and information theory. A Google alum, he is a Senior Fellow of the Bradley Center for Natural and Artificial Intelligence at Discovery Institute.
"About the title" may belong to another edition of this title.
Austin Goodwill 1101
Austin, TX, U.S.A.
AbeBooks seller since May 21, 2021
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