ID the Future Intelligent Design, Evolution, and Science Podcast
Topic

cichlid fish

dog cat
dog and cat play together. cat and dog lying outside in the yard. kitten sucks dog breast milk. dog and cat best friends. love between animals.

Behe and Ramage: Evolution’s Limits and the Fingerprints of Design

Today’s ID the Future wraps up a debate over evolution and intelligent design between Lehigh University biologist Michael Behe and Benedictine College theologian Michael Ramage. Both Behe and Ramage are Catholic, and they carry on their conversation in the context of Catholic thinking about nature and creation, in particular the work of Thomas Aquinas and contemporary Thomist philosophers. Ramage seeks to integrate his Thomistic/personalist framework with modern evolutionary theory’s commitment to macroevolution and common descent. Behe doesn’t discount the possibility of common descent but lays out a case that any evolution beyond the level of genus (for instance, the separate families containing cats and dogs) cannot be achieved through mindless Darwinian mechanisms and, instead, would require the contributions of a designing intelligence. Behe then summarizes both the negative evidence against the Darwinian mechanism of change and the positive evidence in nature for intelligent design. This debate was hosted by Pat Flynn on his Philosophy for the People podcast, and is reposted here by his permission.

wormhole black hole

Engineers Crash the Evolution Party, Rethink Biological Variation

On today’s ID the Future, physicist and engineer Brian Miller sits down with host Casey Luskin to survey exciting developments in intelligent design research that are driven by an engineering model for understanding and studying variations in species. ID researchers are pushing this work, but so too are systems biology researchers outside the intelligent design community. Tune in to hear Miller and Luskin discuss everything from fruit flies, finch beaks, and stickleback fish to mutational hotspots, phenotypic plasticity, and the gravity well model of biological adaptation.