Yesterday I pointed out that real-world mutation rates were a fatal flaw for Darwinian evolution. Natural selection is incapable of overcoming or even significantly slowing the flood of devolutionary mutations cropping up in the human genome. The question now for geneticists is to understand the devolutionary patterns that must exist in the history of life.
To help with this effort, Cornell biologist Dr. John Sanford led the development of Mendel’s Accountant, which is available free at http://mendelsaccountant.info. This state of the art tool gives users a chance to play with population genetics models themselves, altering various parameters to understand the pace of decline in genetic fitness on various populations.
In a paper describing the software,
“All our findings using numerical simulation strongly support previous theoretical and mathematical analyses [Muller, 1950], [Kondrashov, 1995], [Muller, 1964], [Loewe, 2006], which have consistently suggested fundamental and irreconcilable problems with neo-Darwinian theory. All of these previous analyses, when taken at face value, clearly show that neo-Darwinian theory should not work. Numerical simulation now independently and conclusively affirms this.”
(John Sanford, “Falsifying Neo-Darwinian Theory” manuscript, undated.)
Students of genetics and biology generally are urged to carefully (not dismissively) consider the implications of professor Sanford’s work. There is no point in continuing to interpret biological data within a failed theoretical context (Darwinism). No matter how neatly such data may seem to fit the framework, the fact that the framework has fundamentally failed renders such an exercise pointless.