Darwinian evolution is not a valid research program

_{Denyse O'Leary

September 7, 2015

Culture, Darwinism, News}

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Darwinian evolution is not a valid research program

I do not have a cat entered in the fight, so I don’t really care that much.

But look at this post, and the ensuing comments, and ask yourself, why should any of Darwin’s followers’ rubbish be publicly funded?

If you were an investor, would you invest? Note: Your money, not the government’s (= other people’s)

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Comments

News:
If you were an investor, would you invest?
Absolutely! I'm invested in Biotech! You're a fool if you're not.Daniel King_{September 7, 2015
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Should any science be funded? Who should decide? What criteria should be employed?Daniel King_{September 7, 2015
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ppolish:
Using Numerical Simulation to Test the Validity of Neo-Darwinian Theory - 2008 Abstract: Evolutionary genetic theory has a series of apparent “fatal flaws” which are well known to population geneticists, but which have not been effectively communicated to other scientists or the public. These fatal flaws have been recognized by leaders in the field for many decades—based upon logic and mathematical formulations. However population geneticists have generally been very reluctant to openly acknowledge these theoretical problems, and a cloud of confusion has come to surround each issue. Numerical simulation provides a definitive tool for empirically testing the reality of these fatal flaws and can resolve the confusion. The program Mendel’s Accountant (Mendel) was developed for this purpose, and it is the first biologically-realistic forward-time population genetics numerical simulation program. This new program is a powerful research and teaching tool. When any reasonable set of biological parameters are used, Mendel provides overwhelming empirical evidence that all of the “fatal flaws” inherent in evolutionary genetic theory are real. This leaves evolutionary genetic theory effectively falsified—with a degree of certainty which should satisfy any reasonable and open-minded person. http://www.icr.org/i/pdf/technical/Using-Numerical-Simulation-to-Test-the-Validity-of-Neo-Darwinian-Theory.pdf Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load: Excerpt: We apply a biologically realistic forward-time population genetics program to study human mutation accumulation under a wide-range of circumstances.,, Our numerical simulations consistently show that deleterious mutations accumulate linearly across a large portion of the relevant parameter space. http://bioinformatics.cau.edu.cn/lecture/chinaproof.pdf MENDEL’S ACCOUNTANT: J. SANFORD†, J. BAUMGARDNER‡, W. BREWER§, P. GIBSON¶, AND W. REMINE http://mendelsaccount.sourceforge.net Biological Information – Purifying Selection (Mendel’s Accountant) 12-20-2014 by Paul Giem https://www.youtube.com/watch?v=SGJZDsQG4kQ Using Numerical Simulation to Better Understand Fixation Rates, and Establishment of a New Principle - "Haldane's Ratchet" - Christopher L. Rupe and John C. Sanford - 2013 Excerpt: Previous analyses have focused exclusively on beneficial mutations. When deleterious mutations were included in our simulations, using a realistic ratio of beneficial to deleterious mutation rate, deleterious fixations vastly outnumbered beneficial fixations. Because of this, the net effect of mutation fixation should clearly create a ratchet-type mechanism which should cause continuous loss of information and decline in the size of the functional genome. We name this phenomenon "Haldane's Ratchet". http://media.wix.com/ugd/a704d4_47bcf08eda0e4926a44a8ac9cbfa9c20.pdf
bornagain77_{September 7, 2015
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BA77, I'm thinking Darwinian Evolution has already been falsified. Math has falsified it for most scientists, common sense for the non scientists. The latest new improved modern neo synthesis model of evolution is hard to falsify sure. Hard but not impossible. The ONLY idea that is truly impossible to falsify is God. That is Awesomness:)ppolish_{September 7, 2015
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Darwinian evolution is a non-falsifiable pseudo-science.
"In so far as a scientific statement speaks about reality, it must be falsifiable; and in so far as it is not falsifiable, it does not speak about reality." Karl Popper - The Two Fundamental Problems of the Theory of Knowledge (2014 edition), Routledge It’s (Much) Easier to Falsify Intelligent Design than Darwinian Evolution – Michael Behe, PhD https://www.youtube.com/watch?v=_T1v_VLueGk “The National Academy of Sciences has objected that intelligent design is not falsifiable, and I think that’s just the opposite of the truth. Intelligent design is very open to falsification. I claim, for example, that the bacterial flagellum could not be produced by natural selection; it needed to be deliberately intelligently designed. Well, all a scientist has to do to prove me wrong is to take a bacterium without a flagellum, or knock out the genes for the flagellum in a bacterium, go into his lab and grow that bug for a long time and see if it produces anything resembling a flagellum. If that happened, intelligent design, as I understand it, would be knocked out of the water. I certainly don’t expect it to happen, but it’s easily falsified by a series of such experiments. Now let’s turn that around and ask, How do we falsify the contention that natural selection produced the bacterial flagellum? If that same scientist went into the lab and knocked out the bacterial flagellum genes, grew the bacterium for a long time, and nothing much happened, well, he’d say maybe we didn’t start with the right bacterium, maybe we didn’t wait long enough, maybe we need a bigger population, and it would be very much more difficult to falsify the Darwinian hypothesis. I think the very opposite is true. I think intelligent design is easily testable, easily falsifiable, although it has not been falsified, and Darwinism is very resistant to being falsified. They can always claim something was not right.” - Dr Michael Behe
The primary reasons why Darwinism is a pseudo-science instead of a proper science are as such:
1. No Rigid Mathematical Basis (i.e. Demarcation/Falsification Criteria) to test against to potentially falsify it 2. No Demonstrated Empirical Basis 3. Random Mutation and Natural Selection are both grossly inadequate as ‘creative engines’ 4. Information is not reducible to a material basis, (in fact, in quantum teleportation experiments it is found that material ultimately reduces to a information basis) 5. Darwinism, per Imre Lakatos, is found to be a ‘degenerating programme’ where ‘theories are fabricated only in order to accommodate known facts” 6. Darwinism hinders scientific progress by making fundamental false predictions (i.e. falsely predicted Junk DNA, vestigial organs, etc..), “On the other hand, I disagree that Darwin’s theory is as `solid as any explanation in science.; Disagree? I regard the claim as preposterous. Quantum electrodynamics is accurate to thirteen or so decimal places; so, too, general relativity. A leaf trembling in the wrong way would suffice to shatter either theory. What can Darwinian theory offer in comparison?” - Berlinski, D., “A Scientific Scandal?: David Berlinski & Critics,” Commentary, July 8, 2003 etc.. etc..
Of related note: Imre Lakatos tipped toed around the fact that Darwinism does not have demarcation criteria to test against so as to potentially falsify it,,,
A Philosophical Question...Does Evolution have a Hard Core ? Some Concluding Food for Thought In my research on the demarcation problem, I have noticed philosophers of science attempting to balance (usually unconsciously) a consistent demarcation criteria against the the disruptive effects that it’s application might have with regard to the academic status quo (and evolution in particular)… Few philosophers of science will even touch such matters, but (perhaps unintentionally) Imre Lakatos does offer us a peek at how one might go about balancing these schizophrenic demands (in Motterlini1999: 24) “Let us call the first school militant positivism; you will understand why later on. The problem of this school was to find certain demarcation criteria similar to those I have outlined, but these also had to satisfy certain boundary conditions, as a mathematician would say. I am referring to a definite set of people to which most scientists as well as Popper and Carnap would belong. These people think that there are goodies and baddies among scientific theories, and once you have defined a demarcation criterion. you should divide all your theories between the two groups. You would end up. for example, with a goodies list including Copernicus’s (Theory1), Galileo’s (T2), Kepler’s (T3), Newton’s (T4) … and Einstein’s (T5), along with (but this is just my supposition) Darwin’s (T6). Let me just anticipate that nobody to date has yet found a demarcation criterion according to which Darwin can be described as scientific, but this is exactly what we are looking for.” So basically, the demarcation problem is a fun game philosophers enjoy playing, but when they realize the implications regarding the theory of evolution, they quickly back off… http://www.samizdat.qc.ca/cosmos/philo/hardcore_pg.htm
Lakatos, although he tipped toed around the failure of Darwinism to have a rigid demarcation criteria, he was brave enough to state that a good scientific theory will make successful predictions in science and a bad theory will generate ‘epicycle theories’ to cover up embarrassing failed predictions:
Science and Pseudoscience (transcript) - “In degenerating programmes, however, theories are fabricated only in order to accommodate known facts” – Imre Lakatos (November 9, 1922 – February 2, 1974) a philosopher of mathematics and science, , quote as stated in 1973 LSE Scientific Method Lecture http://www2.lse.ac.uk/philosophy/about/lakatos/scienceandpseudosciencetranscript.aspx In his 1973 LSE Scientific Method Lecture 1[12] he also claimed that “nobody to date has yet found a demarcation criterion according to which Darwin can be described as scientific”. Almost 20 years after Lakatos's 1973 challenge to the scientificity of Darwin, in her 1991 The Ant and the Peacock, LSE lecturer and ex-colleague of Lakatos, Helena Cronin, attempted to establish that Darwinian theory was empirically scientific in respect of at least being supported by evidence of likeness in the diversity of life forms in the world, explained by descent with modification. She wrote that “our usual idea of corroboration as requiring the successful prediction of novel facts...Darwinian theory was not strong on temporally novel predictions.” ... http://en.wikipedia.org/wiki/Imre_Lakatos#Darwin.27s_theory
and even in that loose criteria for falsification, i.e. relying merely on failed predictions instead of rigid experimentation, it is found that Darwinism is a 'degenerating programme'
Darwin's (failed) Predictions - Cornelius G. Hunter - 2015 This paper evaluates 23 fundamental (false) predictions of evolutionary theory from a wide range of different categories. The paper begins with a brief introduction to the nature of scientific predictions, and typical concerns evolutionists raise against investigating predictions of evolution. The paper next presents the individual predictions in seven categories: early evolution, evolutionary causes, molecular evolution, common descent, evolutionary phylogenies, evolutionary pathways, and behavior. Finally the conclusion summarizes these various predictions, their implications for evolution’s capacity to explain phenomena, and how they bear on evolutionist’s claims about their theory. *Introduction Why investigate evolution’s false predictions? Responses to common objections *Early evolution predictions The DNA code is not unique The cell’s fundamental molecules are universal *Evolutionary causes predictions Mutations are not adaptive Embryology and common descent Competition is greatest between neighbors *Molecular evolution predictions Protein evolution Histone proteins cannot tolerate much change The molecular clock keeps evolutionary time *Common descent predictions The pentadactyl pattern and common descent Serological tests reveal evolutionary relationships Biology is not lineage specific Similar species share similar genes MicroRNA *Evolutionary phylogenies predictions Genomic features are not sporadically distributed Gene and host phylogenies are congruent Gene phylogenies are congruent The species should form an evolutionary tree *Evolutionary pathways predictions Complex structures evolved from simpler structures Structures do not evolve before there is a need for them Functionally unconstrained DNA is not conserved Nature does not make leaps *Behavior Altruism Cell death *Conclusions What false predictions tell us about evolution https://sites.google.com/site/darwinspredictions/home Why investigate evolution’s false predictions? Excerpt: The predictions examined in this paper were selected according to several criteria. They cover a wide spectrum of evolutionary theory and are fundamental to the theory, reflecting major tenets of evolutionary thought. They were widely held by the consensus rather than reflecting one viewpoint of several competing viewpoints. Each prediction was a natural and fundamental expectation of the theory of evolution, and constituted mainstream evolutionary science. Furthermore, the selected predictions are not vague but rather are specific and can be objectively evaluated. They have been tested and evaluated and the outcome is not controversial or in question. And finally the predictions have implications for evolution’s (in)capacity to explain phenomena, as discussed in the conclusions. https://sites.google.com/site/darwinspredictions/why-investigate-evolution-s-false-predictions podcast - Dr. Cornelius Hunter: False Predictions of Darwinian Evolution, pt. 1 In this first podcast of a series, he discusses why he was inspired to pursue this work. http://www.discovery.org/multimedia/audio/2015/08/dr-cornelius-hunter-false-predications-of-darwinian-evolution-pt-1/
bornagain77_{September 7, 2015
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