On this episode of ID the Future, Andrew McDiarmid speaks with neurosurgeon Michael Egnor about Egnor’s recent Evolution News article, The Coronavirus Demonstrates How Evolution Presupposes Intelligent Design. Egnor notes that the coronavirus and other viruses are not, strictly speaking, considered living things, even if they depend on living hosts for their continued existence. Egnor also discusses the role of random mutations in viruses and draws upon Aristotle to argue that these and other random events only occur, and have their meaning, against a backdrop of purpose and design — in this case, the designed systems — the bodies — that viruses invade.
On this episode of ID the Future, Kirk Durston, a biophysicist focused on identifying high-information-density parts of proteins, completes a three-part series on three categories of science: experimental, inferential, and fantasy science. Fantasy science makes inferential leaps so huge that virtually none of it is testable, either by the standards of experimental science or by those of the historical sciences, which reason to the best explanation by process of elimination. One example of fantasy science, according to Durston, is the multiverse. As he insists, an imaginative story largely untethered from evidence and testing but told using math instead of literary devices is still an imaginative story untethered from evidence and testing. Scientism, “atheism dressed up in a lab coat,” can lead to fantasy science of this kind because it commits itself to materialistic conclusions for philosophical reasons, not scientific ones.
On this episode of ID the Future, biophysicist and philosopher Kirk Durston continue their discussion of three types of science: (1) experimental science, (2) inferential science, and (3) fantasy science. In this second of three episodes, Durston recaps the three types but focuses on inferential science. He explains how it involves, in the historical sciences, abductive reasoning (inference to the best explanation), and he explains how such reasoning can be used as we consider the best explanation for the origin of biological information, and in such a way that it is rooted in observation.