ORIGINS-RELATED SCIENCE ARTICLES
A breaking new finding has brought clarity to the identity of the famous partial skeleton nicknamed "Lucy," which has been touted as a "missing link" fossil for the past 50 years. Evolutionary preconceptions regarding the timing of the origin of the first humans (genus Homo) and a strong creationist "group think" have concealed what is visually obvious to the casual observer: The reason Lucy's pelvis and other skeletal elements so closely resemble humans is because Lucy was a human. The evidence best indicates Lucy was a pygmy human that lived in the Hadar region of Ethiopia during the post-flood African Human Period. —Article by Dr. Christopher Rupe
This video is from a lecture presented at the Midwest Creation Fellowship in Illinois on March 03, 2025. Christopher shares several examples of true human fossils that were misclassified as Lucy's species, Australopithecus afarensis. Assuming for the sake of argument the evolutionary age assignments, these fossils pre-date the supposed origin of the human genus Homo. Such findings falsify the ape-to-man model. In addition, the famous "Lucy" fossil is argued to represent a pygmy human that lived in East Africa, sometime after the flood. —Lecture by Dr. Christopher Rupe
Students are taught as if it were an unquestionable fact of science that life originated spontaneously from non-living chemicals. The implications are clear: God is irrelevant because life can now be explained apart from a Creator. However, leading origin-of-life scientists freely confess, after many decades of research, that life is far too complex to have formed spontaneously by chance. The missing ingredients are not time, chance, and the right chemistry—it's intelligence! —Article by Chris Rupe and Dr. John Sanford
Most introductory level biology textbooks claim we evolved from fish, and they routinely present the fossil species known as Tiktaalik as conclusive proof of this. Museum and textbook illustrations show a creature emerging out of the water, crawling on enlarged front fins. This is misleading and not what the actual fossil evidence shows. Tiktaalik is simply a bottom-dwelling fish and closely resembles modern representations. —Article by Chris Rupe and Dr. John Sanford
Did land mammals evolve into whales, dolphins, and porpoises? One of the leading iconic “proofs” of evolution now appearing in biology textbooks is an illustration showing a land mammal morphing into a whale. These drawings are supposedly based upon fossil evidence. However, experts in the field have acknowledged they are based more on imagination and speculation. There is no compelling fossil or genetic evidence to confirm the land mammal–to–whale story. —Article by Chris Rupe and Dr. John Sanford
Did Noah live to be 950 years old? Is that even possible in light of what we now know about modern genetics? There is growing scientific evidence that the human genome is degenerating due to mutation accumulation. This is supported by papers by several world-famous population geneticists. Genomic degeneration amounts to “evolution going backwards”, and is the anti-thesis of Darwinian thought. Remarkably, degeneration is very consistent with the Bible. This finding offers insight into the long lifespans of the pre-flood inhabitants and the declining ages of the patriarchs recorded in the Genesis genealogies. —Article by Dr. John Sanford, Jim Pamplin, and Chris Rupe
The most famous evolution experiment of all time is widely touted as a powerful demonstration of "observable evolution" occurring right inside the flasks at Michagan State University. Twelve populations of E. coli bacteria have been growining continuously since 1988, "the equivalent of a million years of evolution in humans." If any experiment has the capability of proving large-scale evolution, it should be this one! Find out why the long-term evolution experiment ironically shows de-evolution—evolution going backwards! —Article by Chris Rupe Dr. and John Sanford
RELEVANT TECHNICAL PUBLICATIONS:
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Montañez, G.; Marks R.; Fernandez, J. & Sanford, J. (2013). Multiple overlapping genetic codes profoundly reduce the probability of beneficial mutation, In: Biological Information – New Perspectives (pp 139-167).
Sanford, J. (2013). Session II Chair - Biological Information and Genetic Theory: Introductory Comments, In: Biological Information – New Perspectives (pp 203-209).
Gibson, P.; Baumgardner, J.; Brewer, W. & Sanford, J. (2013). Can Biological Information Be Sustained By Purifying Natural Selection? In: Biological Information – New Perspectives (pp232-263).
Sanford, J.; Baumgardner, J. & Brewer, W. (2013). Selection Threshold Severely Constrains Capture of Beneficial Mutations, In: Biological Information – New Perspectives (pp 264-297).
Brewer, W.; Baumgardner, J. & Sanford, J. (2013). Using Numerical Simulation to Test the “Mutation-Count” Hypothesis, In: Biological Information – New Perspectives (pp 298-311).
Baumgardner J.; Brewer, W.; Sanford, J. (2013). Can Synergistic Epistasis Halt Mutation Accumulation? Results from Numerical Simulation, In: Biological Information – New Perspectives (312-337).
Nelson, C.; & Sanford, J. (2013). Computational evolution experiments reveal a net loss of genetic information despite selection, In: Biological Information – New Perspectives (338-368).
Brewer, W.; Smith, F. & Sanford, J. (2013). Information loss: potential for accelerating natural genetic attenuation of RNA viruses, In: Biological Information – New Perspectives (369-384).selection.
Sanford, J. & Nelson, C. (2012). The Next Step in Understanding Population Dynamics: Comprehensive Numerical Simulation, Studies in Population Genetics, In: M. Carmen Fusté (Ed.), ISBN: 978-953-51-0588-6, InTech.
Nelson, C.W. & Sanford, J.C. (2011). The Effects of Low-Impact Mutations in Digital Organisms. Theoretical Biology and Medical Modeling, Vol. 8, (April 2011), p. 9.
Seaman, J. and J.C. Sanford. (2009). Skittle: a two-dimensional genome visualization tool. BMC Bioinformatics 10:452.
Sanford, J.C., Baumgardner, J., Gibson, P., Brewer, W., ReMine, W. (2007). Mendel's Accountant: a biologically realistic forward-time population genetics program. SCPE 8(2):147-165.
Sanford, J.C., Baumgardner, J., Gibson, P., Brewer, W., ReMine, W. (2007). Using computer simulation to understand mutation accumulation dynamics and genetic load. In Shi et al. (Eds.), ICCS 2007, Part II, LNCS 4488 (pp.386-392), Springer-Verlag, Berlin, Heidelberg.
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