PDF Genetic Entropy Free

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Description
Genetic Entropy presents compelling scientific
evidence that the genomes of all living creatures
are slowly degenerating - due to the accumulation
of slightly harmful mutations. This is happening
in spite of natural selection. The author of this
book, Dr. John Sanford, is a Cornell University
geneticist. Dr. Sanford has devoted more than 10
years of his life to the study of this specific
problem. Arguably, he has examined this problem
in greater depth than any other scientist. The
evidences that he presents are diverse and
compelling. He begins by examining how random
mutation and natural selection actually operate,
and shows that simple logic demands that genomes
must degenerate. He then makes a historical
examination of the relevant field (population
genetics), and shows that the best scientists in
that field have consistently acknowledged many of
the fundamental problems he has uncovered (but
they have failed to communicate these problems to
the broader scientific community). He then shows,
in collaboration with a team of other scientists,
that state-of-the-art numerical simulation
experiments consistently confirm the problem of
genetic degeneration (even given very strong
selection and optimal conditions). Lastly, in
collaboration with other scientists, he shows
that real biological populations clearly manifest
genetic degeneration.nbspnbspDr. Sanford's
findings have enormous implications. His work
largely invalidates classic neo-Darwinian theory.
The mutation/selection process by itself is not
capable of creating the new biological
information that is required for creating new
life forms. Dr. Sanford shows that not only is
mutation/selection incapable of creating our
genomes - it can't even preserve our genomes. As
biochemist Dr. Michael Behe of Lehigh University
writes in his review of Genetic Entropy, ...not
only does Darwinism not have answers for how
information got into the genome, it doesn't
even have answers for how it could remain there.
Dr. Sanford has coined the term genetic entropy
to describe this fatal flaw of neo-Darwinian
theory. This fundamental problem has been
something of a trade-secret within the field
of population genetics, with the rest of the
world largely being kept in the
dark. Fortunately, this book finally discloses
this very serious problem, using language that is
for the most part accessible to all scholars and
students having a basic understanding of
biology.This new edition of Genetic
Entropy includes numerous new lines of evidence
supporting Dr. Sanford's thesis. Much of this new
evidence is from recently published scientific
papers that are now part of the scientific
literature. Genetic Entropy is a must-read for
any thoughtful person who in interested in
science. Dr. Sanford ends his book by asking two
questions. First, if our genome did not actually
arise via the accumulation of genetic
word-processing errors (as is claimed), how did
it arise? Second, if our genomes are undergoing
relentless degeneration - where
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can we possibly place our hope for the future?
4
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Description
Genetic Entropy presents compelling scientific
evidence that the genomes of all living creatures
are slowly degenerating - due to the accumulation
of slightly harmful mutations. This is happening
in spite of natural selection. The author of this
book, Dr. John Sanford, is a Cornell University
geneticist. Dr. Sanford has devoted more than 10
years of his life to the study of this specific
problem. Arguably, he has examined this problem
in greater depth than any other scientist. The
evidences that he presents are diverse and
compelling. He begins by examining how random
mutation and natural selection actually operate,
and shows that simple logic demands that genomes
must degenerate. He then makes a historical
examination of the relevant field (population
genetics), and shows that the best scientists in
that field have consistently acknowledged many of
the fundamental problems he has uncovered (but
they have failed to communicate these problems to
the broader scientific community). He then shows,
in collaboration with a team of other scientists,
that state-of-the-art numerical simulation
experiments consistently confirm the problem of
genetic degeneration (even given very strong
selection and optimal conditions). Lastly, in
collaboration with other scientists, he shows
that real biological populations clearly manifest
genetic degeneration.nbspnbspDr. Sanford's
findings have enormous implications. His
work largely invalidates classic neo-Darwinian
theory. The mutation/selection process by itself
is not capable of creating the new biological
information that is required for creating new
life forms. Dr. Sanford shows that not only is
mutation/selection incapable of creating our
genomes - it can't even preserve our genomes. As
biochemist Dr. Michael Behe of Lehigh University
writes in his review of Genetic Entropy, ...not
only does Darwinism not have answers for how
information got into the genome, it doesn't
even have answers for how it could remain there.
Dr. Sanford has coined the term genetic entropy
to describe this fatal flaw of neo-Darwinian
theory. This fundamental problem has been
something of a trade-secret within the field of
population genetics, with the rest of the world
largely being kept in the dark. Fortunately, this
book finally discloses this very serious problem,
using language that is for the most
part accessible to all scholars and students
having a basic understanding of biology.This new
edition of Genetic Entropy includes numerous new
lines of evidence supporting Dr. Sanford's
thesis. Much of this new evidence is from
recently published scientific papers that are now
part of the scientific literature. Genetic
Entropy is a must-read for any thoughtful person
who in interested in science. Dr. Sanford
ends his book by asking two questions. First, if
our genome did not actually arise via the
accumulation of genetic word-processing errors
(as is claimed), how did it arise? Second, if our
genomes are undergoing relentless degeneration -
where can we possibly place our hope for the
future?
7
PDF Genetic Entropy Free