arguments used by
This is material originally assembled for the PopGenLunch weekly seminar at the University
of Washington, Seattle, for a
talk by Joe Felsenstein on 7 June
2016, and susequently supplemented and edited. It lists different arguments
based on population
genetics that creationists and Intelligent Design advocates have tried to use
to refute evolutionary theory (these are usually not different people, but
some of the same people using different arguments).
Hardy-Weinberg prevents change in gene frequencies.
rebuttal two days later at Panda's Thumb. (The Panda's Thumb blog has
recently moved to a new server, and the comments on archived threads are not
yet available -- they will be gradually restored over the next few months).
William Dembski's 2002 conservation-law argument that Complex Specified
Information cannot be achieved by natural evolutionary forces, owing to a Law
of Conservation of Complex Specified Information
book in its revised edition at Amazon. The book sketches his Law of Conservation of Complex
Specified Information, and the chapter describing it is described by Dembski as "
Wesley Elsberry's and Jeffrey Shallit's detailed negative
review of it, in a preprint version. See
especially their discovery that Dembski's Law of Conservation of Complex
Specified Information violates one of his own stated conditions.
My 2013 argument at Panda's Thumb that this now makes Specified Complexity a useless add-on to his
argument, with the users having to do all the heavy lifting and prove themselves
that natural selection cannot explain the adaptation, before trying to apply
Walter Remine's "cost of natural selection" argument -- he actually
independently reinvented Ewens's and Crow's version of the cost of natural selection.
His self-published book The
Biotic Message: Evolution Versus Message Theory in which
he argues that the Creator designed into life a message to us, a message
didn't happen, and that he, Remine, happens to be the first person to read it.
God's Messenger On Earth, I guess. The cost argument in the book is described
also in the paper mentioned above.
rebuttal by me and Tom English at Panda's Thumb in 2015 showing
that when we confine attention to evolving systems that actually reproduce and
have fitnesses, just that fact supplies much of the needed information.
By the way, the volume, Biological Information: New Perspectives is
available online for free, here
and is another valuable source of technical arguments by creationists. It is
the papers from a 2011 conference arranged by John Sanford in a meeting room rented from
Cornell University's School of Hotel Management, and represented by its
organizers as a conference "held at Cornell University".
Wolf-Ekkehard Lönnig's argument that natural selection will be
unable to favor the genotype of highest fitness at Evolution News and Views
in March, 2016
... and more of his reply to me. My, he's upset. I have
first part of Lönnig's reply to me in July, 2016 at Evolution News and Views.
William Basener and John Sanford's paper in
Journal of Mathematical Biology in 2017 which argues that R.A. Fisher's famous (or
notorious) Fundamental Theorem of Natural Selection needs to have additional terms added
to account for mutation, and that when this is done the mean fitness of populations
tends to steadily decline.
My argument in a
post at The Skeptical Zone on January 9, 2018 that they have misread the population
genetics literature, and that the incorporation of mutation effects into population genetics
theory largely happened in the 1920s, before R.A. Fisher's 1930 publication of his Fundamental
Theorem, and that it did not depend on the validity or invalidity of that Theorem.
A more specific argument by me and Michael Lynch (of Arizona State University) in The Skeptical Zone on January 23, 2018, that Basener and Sanfords model of mutation and
selection ignored recombination between loci, and assumed a particular form for the
distribution of net fitness of the haploid genomes that implied interactions between genes
that led to mutation overwhelming the selection against deleterious mutants. It argued that
including recombination would result in a very different result.
This is by no means an exhaustive list of population-genetics-based rebuttals
of evolution. A major Intelligent Design argument, the Irreducible Complexity
argument of Michael Behe, has a part which argues on population-genetic grounds
that an adaptation that requires that several individually-deleterious mutations be
occur that are, in combination, advantageous cannot occur in real populations.
This is summarized in his book The Edge of Evolution (which you will
find here, at Amazon)
Another argument, this one in defense of young-earth creationism, is by
John Sanford, a sometime faculty member at Cornell
University. He has published a book, Genetic Entropy and the Mystery of the
Genome on how mutation rates in humans are too high and too deleterious for
humans to have been around before 4004 BC. He and his co-thinkers believe that
continuation of that
deleterious mutation imply that The End
Is Nigh. (Really! I am not making this up).
Searches on the names of William Dembski, Robert Marks, and others mentioned
above will also disclose YouTube videos of talks by them putting forth their
arguments. For more on their views see Marks's website for his Evolutionary Informatics Lab.
Graduate courses on these arguments
There are, as yet, no courses on the above arguments and counterarguments.
Understanding these issues really should be part of the education of every
graduate student in evolutionary biology.
Why should we care? Why do you need to know these arguments? Because maybe they are correct
(if they were, wouldn't you want to at least know?). Also they get used to
persuade others, and many biologists who participate in the online debates
are a bit scared of technical
population genetics and unsure how to answer them. And you
will see that all this does really matter, if, under
a government friendly to the Religious Right,
creationists get to use them to cut off your funding. You will really care