Let me just conclude with this quote on mutations....
"It is estimated that one million mutations are required for every one percent difference. Moreover, all the mutations must occur exactly where the two genomes differ. How can one have a million mutations when each mutation has to be in the exact sequence to make a human? It’s impossible. George Simpson, a well-known paleontologist and ardent evolutionist, estimated that it would take 10,000,000,000,000,000,000,000 chances to get five mutations in the exact order. Simpson concludes that simultaneous mutations as a process observed today had no part in evolution.
Simpson wrote a surprisingly honest comment on the absence of transitional fossils, "...Every paleontologist knows that most new species, genera, and families, and that nearly all categories above the level of family appear in the record suddenly and are not led up to by known, gradual, completely continuous transitional sequences.”
If you can quote your sources, so can I.
http://www.creationstudies.org/operationsalt/myth-beneficial-mutations.html
I will respond to your post sequentially as they tackle different aspects of evolution.
This statement quoted above is a complete distortion as no evolutionary biologist has ever said that simultaneous mutations are something that either occurs in evolution or is needed in evolution.
All evolutionary changes are based on differential fitness caused by single mutation events over successive generations. A single mutation event can be the alteration of a single letter in a gene (or a regulatory element of the gene) or a gene duplication or gene deletion event where an entire section of the DNA is pasted in twice (or not pasted in at all) due to a mistake in the replication process. There is no gene where 5 simultaneous mutations are required before it becomes beneficial when the starting ancestral sequence was not.
The rate of mutation in humans is 1.2*10^(-8) per nucleotide per generation.
This has been experimentally demonstrated
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548427/
A human genome has 3 billion base pairs or 6 billion nucleotides. Thus the number of new mutations that occur in every child is (6*10^9)*(1.2*10^-8)= 72 mutations.
Thus every human being is born with avg. of 72 mutations that did not exist in their parents.
Now consider that there are 7 billion people in the world.
So number new mutations arising at every nucleotide site in the human genome somewhere in the human population is (7*10^9)*(1.2*10^-8)= 84 new mutations per nucleotide site in the human population each generation.
The percentage of beneficial mutations is about 1% (several experimental studies. One example LINK). The percentage of harmful mutations is about 5% and the rest 94% is neutral.
Here is a nice homework problem.
Given that each person is born with 72 mutations on average of with 1% is good, 5% is bad and 94% is neutral, what is the probablity that a person is conceived with
1) At least one beneficial mutation and no harmful mutation?
2) A person is conceived with at least one harmful mutation and no beneficial mutation?
This number above is before considering differential selection. Differential selection is the process by which descendants with harmful mutations are removed from the population because either
1) Due to their harmful mutation they die too early to have offsprings themselves.
2) They have less offsprings than others because of their harmful mutations.
A stark example of differential selection is the fact that 66% of all human embroyos that are conceived are aborted spontaneously. (LINK). It is near certain that these embroyos have harmful gene variants that cause them to stop growing. Thus the percentage of people who are born at all is already a self-selected group from which a significant fraction (find out how much) of the descendants who had one or more harmful mutations have been eliminated already.
Here is a concrete example of beneficial mutations cropping up in human populations today.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791022/
In 2009, researchers at the Broad Institute in Boston, led by geneticist David Altschuler, started recruiting elderly, overweight individuals who, by all accounts, ought to have type 2 diabetes but didn’t. The scientists weren’t looking for genetic mutations that cause diabetes but rather hoping to find mutations that prevent it. Their search paid off; last year, the group reported in Nature Genetics that people who have particular mutations in a gene called SLC30A8 (Solute carrier family 30, member 8) are 65% less likely to get diabetes, even when they have risk factors like obesity (1).
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