You are incorrect. The laws of physics dictate what geneticists knew intuitively.There is no "devolve."
Could you show us where he says populations "devolve?"
The abstract and introduction don't question mutational load, but discuss ways it is mitigated. Unfortunately, they admit to not knowing if the problem can be mitigated.
We also discuss why accurate estimation of mutation load depends on assumptions regarding the distribution of dominance and selection coefficients, quantities that are poorly characterized for current genomic datasets. |
As the program shows, evolution has yet to be modeled. Shannon has been a serious impediment to speculating how a program could be made to work.About ten years ago, I think... (Barbarian checks)
Mathematical and Computer Modelling
Volume 49, Issues 11–12, June 2009, Pages 2109-2115
S.GenieysaN.BessonovbV.Volperta
Mathematical model of evolutionary branching
Abstract
This work is devoted to the study of an evolutionary system where similar individuals are competing for the same resources. Mathematically it is a Fisher equation with an integral term describing this non-local competition. Due to this competition, an initially monomorphic population may split into two distinct sub-populations, hence exhibiting a branching capacity. This framework can be applied to various contexts where recognizers are competing for some signals. The pattern formation capacity of this model is investigated analytically and numerically.
As Shannon showed, evolution would not work without the noise.