The relationship of mathematics to biology is fascinating. Understanding why anti-evolutionist arguments fail can help us think clearly about this relationship.
People who work in the life sciences typically regard it as obvious that modern evolutionary theory is essentially correct. They find that there is just too much data that falls right into place if you take evolution as your starting point, and they consistently get good results when they apply the theory to practical problems. There is much to argue about in the details, but there is near unanimous agreement that the big picture—that modern species are the end result of a lengthy historical process and that natural selection is an especially important mechanism of evolution—is roughly the way Charles Darwin first described it in 1859.
But for as
long as there have been evolutionists there have also been anti-evolutionists.
There have always been those who do not like evolution, and they offer a
variety of arguments in support of their view. Many of these arguments are at
least superficially scientific, though it is hardly a secret that religious
motivations are nearly always lurking beneath the surface. Scientists mostly
scoff at anti-evolutionism, and rightly so. Most anti-evolutionist arguments are based on
faulty reasoning, absurd distortions of the scientific facts, parodies of what
evolution asserts, or all of the above.
Mathematics
has long played a role in anti-evolution discourse, but in the past ten to
fifteen years it has become far more prominent than it had previously been. Most
of the major anti-evolution books and articles during this time place
mathematical arguments front and center. Scientists have replied piecemeal to
these arguments, but there has been no survey of mathematical anti-evolutionism
taken as a whole. In this book, I present such a survey. In mostly non-technical prose, I explain why
all such anti-evolutionist arguments fail.
Anti-evolutionism,
whether in the form of fundamentalist young-Earth creationism or the
superficially more sophisticated intelligent design theory, is one front in a
broader struggle against misinformation and anti-science propaganda. Scientists and mathematicians should see it
as a professional obligation to push back whenever possible. But my intention is not just polemical. The relationship of mathematics to biology is
fascinating. Understanding why
anti-evolutionist arguments fail can help us think clearly about this relationship.
My
interest in this subject began in the early 2000s. My first job out of graduate school had much
to do with the training of public-school mathematics teachers in the U. S. state
of Kansas. At that time, Kansas was
mired in controversy because a conservative state school board had voted to
remove scientific topics like evolution and the big bang from the science curriculum. My work brought me into close contact with
people on the front lines of this dispute.
When I subsequently learned of a forthcoming creationism conference not
far from my home, I decided, on a whim, to attend.
Over
the next seven to eight years, I attended dozens of such conferences, as well
as smaller gatherings in local churches.
At these conferences, I saw first-hand just how rhetorically effective
mathematical anti-evolutionism can be.
Where I saw caricatures of major branches of mathematics, most of the
audience saw conclusive proof of their religious beliefs.
In large measure, it was this experience that prompted me to write this book. Nonsense must be confronted, and it is hoped that this small effort can make a contribution in that regard.
The Failures of Mathematical Anti-Evolutionism by Jason Rosenhouse
Jason Rosenhouse is a professor of mathematics at James Madison University. He is the author or editor of eight previous books, including Among the Creationists: Dispatches from the Anti-Evolutionist Front Line (Oxford University Press, 2012)....
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