On this episode of ID the Future, biologist Ann Gauger talks with host Andrew McDiarmid about new research challenging the common claim that the field of population genetics rules out a single-couple human origin. She and Stockholm University statistical mathematician Ola Hössjer have just published a paper in the journal BIO-Complexity modeling the scenario using a newly developed computer algorithm. The results, Gauger says, show that the genetic data does not rule out Adam and Eve.
On this episode of ID the Future, Dr. Winston Ewert continues unpacking his new hypothesis challenging Darwin’s tree of life. Ewert is a software engineer, and his new model is inspired by the coder strategy of repurposing existing code, called modules, for different projects. Moreover, some of these modules depend on other modules, meaning you can generate a dependency graph to better understand the similarities and differences among software programs that share modules. Ewert argues that a dependency graph model better explains the pattern of similarities and differences in the history of life, better than a model of common descent by unguided evolution. As he also explains, the new model is testable in multiple ways.
On this episode of ID The Future, Sarah Chaffee interviews Center for Science and Culture Research Coordinator Dr. Brian Miller about co-evolution. Together they explore a recent paper on the subject by Winston Ewert and Robert Marks in BIO-Complexity.
On this episode of ID the Future, Casey Luskin talks with Dr. Winston Ewert about his article that was published recently in the journal BIO-Complexity. Dr. Ewert’s paper criticizes a number of computer programs that purport to show that irreducible complexity could result from random, unguided evolution. He finds that “The prediction of irreducible complexity in computer simulations is that such systems will not generally evolve apart from intelligent aid” and this prediction “has thus far stood the test in computer models.”