Tag: science
Finding Darwin in All the Wrong Places
Links to our 8-Part Series, “The NCSE, Judge Jones, and Citation Bluffs About the Origin of New Functional Genetic Information”: • Part 1: Judge Jones’s Misguided NCSE-Scripted Kitzmiller Ruling and the Origin of New Functional Genetic Information• Part 2: The Evolution-Lobby’s Useless Definition of Biological Information• Part 3: The Evolution-Lobby’s Misguided Definition of “New”• Part 4 (This Article): Finding Darwin in All the Wrong Places• Part 5: How to Play the Gene Evolution Game• Part 6: Asking the Right Questions about the Evolutionary Origin of New Biological Information• Part 7: Assessing the NCSE’s Citation Bluffs on the Evolution of New Genetic Information• Part 8: The NCSE’s Citation Bluffs Reveal Little About the Evolutionary Origin of Information Read the Full Article: Read More ›
The Evolution-Lobby’s Misguided Definition of “New”
Links to our 8-Part Series, “The NCSE, Judge Jones, and Citation Bluffs About the Origin of New Functional Genetic Information”: • Part 1: Judge Jones’s Misguided NCSE-Scripted Kitzmiller Ruling and the Origin of New Functional Genetic Information• Part 2: The Evolution-Lobby’s Useless Definition of Biological Information• Part 3 (This Article): The Evolution-Lobby’s Misguided Definition of “New”• Part 4: Finding Darwin in All the Wrong Places• Part 5: How to Play the Gene Evolution Game• Part 6: Asking the Right Questions about the Evolutionary Origin of New Biological Information• Part 7: Assessing the NCSE’s Citation Bluffs on the Evolution of New Genetic Information• Part 8: The NCSE’s Citation Bluffs Reveal Little About the Evolutionary Origin of Information Read the Full Article: Read More ›
The Evolution-Lobby’s Useless Definition of Biological Information
Links to our 8-Part Series, “The NCSE, Judge Jones, and Citation Bluffs About the Origin of New Functional Genetic Information”: • Part 1: Judge Jones’s Misguided NCSE-Scripted Kitzmiller Ruling and the Origin of New Functional Genetic Information• Part 2 (This Article): The Evolution-Lobby’s Useless Definition of Biological Information• Part 3: The Evolution-Lobby’s Misguided Definition of “New”• Part 4: Finding Darwin in All the Wrong Places• Part 5: How to Play the Gene Evolution Game• Part 6: Asking the Right Questions about the Evolutionary Origin of New Biological Information• Part 7: Assessing the NCSE’s Citation Bluffs on the Evolution of New Genetic Information• Part 8: The NCSE’s Citation Bluffs Reveal Little About the Evolutionary Origin of Information Read the Full Article: Read More ›
A Mathematician Looks at Darwin’s Theory and Discovers It Doesn’t Add Up
SEATTLE — “Darwin’s attempt to explain the origins of all the magnificent species in the living world in terms of the struggle for survival is easily the dumbest idea ever taken seriously by science,” writes Dr. Granville Sewell in his new book In the Beginning and Other Essays on Intelligent Design published by Discovery Institute Press. What do you get when you add together the big bang, the fine-tuning of the laws of physics and the evolution of life? Definitely not a materialistic theory of origins, answers Sewell, a Professor of Mathematics at the University of Texas El Paso. In this wide-ranging collection of essays, Sewell concludes that while there is much in the history of life that seems to Read More ›
Winston Ewert, William Dembski, and Robert Marks Publish Mainstream Scientific Paper Exposing Flaws in Avida Evolution Simulation
In 2003, evolutionary biologist Richard Lenski, philosopher Robert Pennock and others co-published a Nature paper titled “The evolutionary origin of complex features” reporting results of a computer simulation of evolution dubbed “Avida.” Though publicly arguing that Avida refuted intelligent design by showing the evolution of irreducible complexity, their paper refused cite the work of Michael Behe or any other ID proponent. Now, Winston Ewert, William Dembski, and Robert Marks expose in a paper in Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics why Lenski and Pennock’s “Avida” simulation fails to accurately model Darwinian evolution. Darwinian evolution has no prior knowledge about the search target, but Avida’s programmers have intelligently designed Avida by smuggling in “active information” Read More ›