Common Design vs. Common Descent

I promised John Harshman for several months that I would start a discussion about common design vs. common descent, and I’d like to keep my word to him as best as possible.

Strictly the speaking common design and common descent aren’t mutually exclusive, but if one invokes the possibility of recent special creation of all life, the two being mutually exclusive would be inevitable.

If one believes in a young fossil record (YFR) and thus likely believes life is young and therefore recently created, then one is a Young Life Creationist (YLC). YEC (young earth creationists) are automatically YLCs but there are a few YLCs who believe the Earth is old. So evidence in favor of YFR is evidence in favor of common design over common descent.

One can assume for the sake of argument the mainstream geological timelines of billions of years on planet Earth. If that is the case, special creation would have to happen likely in a progressive manner. I believe Stephen Meyer and many of the original ID proponents like Walter Bradley were progressive creationists.
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The Mystery of Evolution: 10. Falsifying the Evolution-The Experiment #1

I have promised that I will try to falsify the evolutionary theory by performing some simple experiments, as many of Darwin’s faithful on this blog have been really reluctant to do or even to suggest such an experiment…

However, one video was posted on TSZ suggesting that such an experiment has already been performed by Biologist Ken Dial in a study of how young birds use their developing wings that is supposed shed light on the evolution of flight in birds.

The Origin of Flight–What Use is Half a Wing? | HHMI BioInteractive Video


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A Problem to Solve

Evolution is often presented as problem-solving. Genetic algorithms are often offered as proofs of evolution’s ability to solve problems. Genetic algorithms are as search algorithms.

As one book says:

Fundamentally, all evolutionary algorithms can be viewed as search algorithms which search through a set of possible solutions looking for the best – or “fittest” – solution.

Tom has asked me to specify a problem independently from the evolutionary process. Now I have to admit that I don’t really understand what that means. But I like Tom and I have a lot of respect for him, so I want to give it my best shot and see where it takes us. I’m also hoping this will shed some light on claims about how problem-solving genetic algorithms are designed to solve a particular problem.

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The Mystery of Evolution: 9. I Origins by Richard Dawkins

Bumping around for millions of years without sight is not a problems for Richard Dawkins…Why would it be for evolution?

Question: Do not  ALL (systems involved in seeing and processing image) have to be working (fully functional) for the eye to receive and process vision? (or something like that)

Answer Richard Dawkins: It is a bit a fallacy because 1/4 of an eye or a100th of an eye is better than nothing…

Please watch the video as my keyboard can’t handle the rest of this Dawkins’ nonsense…

 

!8 mysteries to go…

The Mystery of Evolution: 8. Common Descent-The Tree of Life or a Bush? An Orchard?

Special Update!!!

It turns out that professor Larry Moran of the University of Toronto agrees with Craig Venter. Thanks to Allan Miller, I discovered a blog on a similar theme at sandawalk link here 

This is what professor Moran says about the video (his video is 42 min long):

” Everything that Ventor says is correct. He didn’t need to quibble about the universality of the genetic code but it’s true that there are variants.”

“I’m pretty sure that Dawkins doesn’t agree (in reference to video) with those who question whether there’s a tree of life. One of the most profound implications of the net of life is that it’s consistent with several independent origins of life that preceded the rise of a modern genetic code and contributed to existing species. In other words, there may not be a single LUCA (Last Universal Common Ancestor). Dawkins does not like that. It’s not what he says on the lecture circuit.” (my emphasis)


There is probably no one in the world of biology today as respected as Craig Venter.

Why?

Well, his achievements are indeed great including being involved with sequencing the human genome and assembled the first team to transfect a cell with a synthetic chromosome, which some even went as far as calling the creation of artificial life…

Now apparently, he is involved in the anti-aging research…no surprise here…he is 70 and would like reach immortality like the jellyfish…Who can blame him…He is an atheist…

However, his also known for what some would call radical statements such as denying the common descent which is the very foundation of evolutionary theory…

“Common descent describes how, in evolutionary biology, a group of organisms share a most recent common ancestor. Common ancestry between organisms of different species apparently arises during speciation, in which new species are established from a single ancestral population. Organisms which share a more recent common ancestor are apparently closely related.” –Wiki

The apparent common descent of all organisms on earth doesn’t agree with Craig Venter’s research… Continue reading

Arrival of the Fittest – keiths style

I tire of keiths and his revisionist history. In a recent thread…

Glen: The real question is if Mung has read and comprehended Losos’ book.

keiths: Yes, which brings to mind what happened with Andreas Wagner’s book, Arrival of the Fittest. Mung was blathering about how it was an ID-friendly book, which is nonsense.

keiths:

I challenged him:

Mung,

Alan’s review barely touches on what I think are the most important ideas in the book: those concerning the “libraries”, the “networks”, and the extent to which the networks extend across the libraries.

How about summarizing those ideas for us in your own words? That will serve the dual purpose of 1) filling a gap in Alan’s review and 2) demonstrating that you actually understand what Wagner is saying.

Having summarized those ideas, if you still don’t (or pretend not to) understand the implications for ID, I’ll help you out.

And:

Think of it as being similar to an ideological Turing test. I’d like to see if you even bothered, or were able, to understand the book before dismissing it as no threat to ID.

keiths: To no one’s surprise, Mung squirmed, stalled, and then skedaddled.

Here’s what actually happened:

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The Mystery of Evolution: One Down

My kids just informed me that they have seen an okapi evolving, or transitioning into a zebra

Okapi’s stripes appear to be no doubt the same as zebra’s…

Zebra, Equus quagga, Masai Mara Reserve, Kenya : Stock Photo

Well, at least we have one example of species transitioning into another…out of 10 billion and this one looks like a stunner….

I have to run!

I’ll fill in the rest when I get back…

Update!

It turns out that okapi is considered to be more closely related to giraffe than to zebra…if at all…That is surprising…because okapi and zebra do look alike just okapi is missing some stripes…No wonder my kids fell for it…as did some experts…

“…The okapi and the giraffe were assigned to the same order (Artiodactyla) because they both have cloven hooves, and to the same family (Giraffidae) because they share certain distinctive features: Both have large eyes and ears, thin lips and a long, extensible tongue that allows them to lick their entire face (even the ears); their backs slope upward from rump to withers; they also share the same dental formula: ( i 0/3, c 0/1, pm 3/3, m 3/3) × 3 = 32. Both, unlike any other mammal, have molars with rugose enamel and bony horns that remain covered with skin throughout life (Nowak 1999, vol. 2, p. 1085).

Yet the rump and legs of an okapi are covered with black-and-white stripes exactly like those of a zebra. Perhaps, then, if okapis had solid hooves instead of cloven ones, they would be classified as perissodactyls (Order Perissodactyla) and would be considered more closely related to zebras than to giraffes. An okapi is about the same size as a Burchell’s zebra.

The chromosome count of an okapi is also like that of a zebra, to which it is not supposed to be related, and unlike that of a giraffe. Giraffes have 30 chromosomes (Taylor et al. 1967; Hösli and Lang 1970; Koulisher et al. 1971), whereas okapis have a variable chromosome number of 44-46, depending on the animal in question; most seem to have 2n = 45 (Ulbrich and Schmitt 1969; Hösli and Lang 1970; Koulisher 1978). The chromosome number of Grevy’s zebra is 2n = 46 and plains zebras have 2n = 44 (Benirschke and Malouf 1967). Variation in chromosome count is itself unusual among mammals, but common in hybrids…”

The 14-16 chromosome difference between giraffe and okapi is striking isn’t it?

The Mystery of Evolution: 7. Falsifying the Evolution-The Prelude to Something Greater

UPDATE: So far NO IDEAS as to how the theory of evolution can be falsified have been proposed…To make things worst, nobody so far picked up any of MY SUGGESTED IDEAS how to falsify evolution – now clearly numbered from 1-4. 

It makes one wonder what the bases are for believing in the theory of evolution if no one seems to even want to at least try to falsify it…

Please keep in mind that by falsifying evolution you can refute many claims by the proponents of ID!!! Isn’t it what Darwin’s faithful want to do?

This OP is just a prelude to hopefully many future ones, where I would like to focus on the specific examples of how to falsify the theory of evolution…

This OP gives everyone an opportunity for the input on no doubt the many available ways how to experimentally falsify evolution…

As most of you know, Darwinists and post-Darwinists, for unknown reasons, are reluctant to experimentally prove their beliefs, so by the series of the OPs on the many possible ways of falsifying evolution, we can hopefully encourage Darwinists and the like, to do so for their own good… I could definitely help with that…

Here are some ideas on how to falsify evolution that I have come across so far:

How a walking mammal can evolve into an aquatic one?

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The Mysteries of Evolution: 6. Endosymbiosis-The second miracle of life after the origin of life

This is one of the most fundamental mysteries of evolution and the origins of multicellular life often called endosymbiosis, which is supposed to explain the origin of eukaryotic cell.

It doesn’t!  Here is why…

What I found perplexing, or even disturbing, is that although it is presented as scientific fact of evolution, as evolution itself often is, there is absolutely not one fact to support that endosybiosis happened or could have happened…

And this the fact…

How could that be?

First of all, the difference between prokaryotic and eukaryotic cell is so staggering that even proposing such quantum leap in evolutionary change goes beyond macroevolutionary claim…

Here are some facts: Continue reading

Evolution is not design

This is a continuation of an earlier OP. Design by Evolution

When we think of design, it is usually in the context of solving some sort of problem, … To be effective, the design must address a purpose to be achieved. … Thus, effective design requires some feedback mechanism to the designer.

But perhaps we can fit the square peg of purposeless blind watchmaker evolution into the round hole of purposeful intelligent design.

Some people here at TSZ seem to think that no one ever claimed that evolution is a designer. So let’s remind them.

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Evo-Info 3: Evolution is not search

Introduction to Evolutionary Informatics, by Robert J. Marks II, the “Charles Darwin of Intelligent Design”; William A. Dembski, the “Isaac Newton of Information Theory”; and Winston Ewert, the “Charles Ingram of Active Information.” World Scientific, 332 pages.
Classification: Engineering mathematics. Engineering analysis. (TA347)
Subjects: Evolutionary computation. Information technology–Mathematics.

Marks, Dembski, and Ewert open Chapter 3 by stating the central fallacy of evolutionary informatics: “Evolution is often modeled by as [sic] a search process.” The long and the short of it is that they do not understand the models, and consequently mistake what a modeler does for what an engineer might do when searching for a solution to a given problem. What I hope to convey in this post, primarily by means of graphics, is that fine-tuning a model of evolution, and thereby obtaining an evolutionary process in which a maximally fit individual emerges rapidly, is nothing like informing evolution to search for the best solution to a problem. We consider, specifically, a simulation model presented by Christian apologist David Glass in a paper challenging evolutionary gradualism à la Dawkins. The behavior on exhibit below is qualitatively similar to that of various biological models of evolution.

Animation 1. Parental populations in the first 2000 generations of a run of the Glass model, with parameters (mutation rate .005, population size 500) tuned to speed the first occurrence of maximum fitness (1857 generations, on average), are shown in orange. Offspring are generated in pairs by recombination and mutation of heritable traits of randomly mated parents. The fitness of an individual in the parental population is, loosely, the number of pairs of offspring it is expected to leave. In each generation, the parental population is replaced by surviving offspring. Which of the offspring die is arbitrary. When the model is modified to begin with a maximally fit population, the long-term regime of the resulting process (blue) is the same as for the original process. Rather than seek out maximum fitness, the two evolutionary processes settle into statistical equilibrium.

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Introduction to Evolutionary Informatics

Introduction to Evolutionary Informatics, by Robert J. Marks II, the “Charles Darwin of Intelligent Design”; William A. Dembski, the “Isaac Newton of Information Theory”; and Winston Ewert, the “Charles Ingram of Active Information.” World Scientific, 332 pages.
Classification: Engineering mathematics. Engineering analysis. (TA347)
Subjects: Evolutionary computation. Information technology–Mathematics.1

Yes, Tom English was right to warn us not to buy the book until the authors establish that their mathematical analysis of search applies to models of evolution.

But some of us have bought (or borrowed) the book nevertheless. As Denyse O’Leary said: It is surprisingly easy to read. I suppose she is right, as long as you do not try to follow their conclusions, but accept it as Gospel truth.

In the thread Who thinks Introduction to Evolutionary Informatics should be on your summer reading list? at Uncommon Descent, there is a list of endorsements – and I have to wonder if everyone who endorsed the book actually read it. “Rigorous and humorous”? Really?

Dembski, Marks, and Ewert will never explain how their work applies to models of evolution. But why not create at list of things which are problematic (or at least strange) with the book itself? Here is a start (partly copied from UD):
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Two planets with life are more miraculous than one

The Sensuous Curmudgeon, who presently cannot post to his weblog, comments:

This Discoveroid article is amazing. Could Atheism Survive the Discovery of Extraterrestrial Life?. I wish I could make a new post about it. They say that if life is found elsewhere, that too is a miracle, so then you gotta believe in the intelligent designer. They say:

“The probability of life spontaneously self-assembling anywhere in this universe is mind-staggeringly unlikely; essentially zero. If you are so unquestioningly naïve as to believe we just got incredibly lucky, then bless your soul.”

Actually, “they” who posted at Evolution News and Views is someone we all love dearly, and see occasionally in the Zone — that master of arguments from improbability, Kirk Durston.

Is ID really a reasonable alternative to “it just happened”?

One of our regular commenters explains why they stick with ID:

ID is a perfectly reasonable alternative to “it just happened, that’s all.”

Yet that “reasonable alternative” is just “it happened like that because it was Intelligently Designed“. ID as yet has no specifics as to who, when, what, how, why etc.

So it seems to me that said commenter has just replaced “it just happened” with another phrase that means exactly the same thing but now they can be an intellectually fulfilled theist.  Continue reading

Evo-Info review: Do not buy the book until…

Introduction to Evolutionary Informatics, by Robert J. Marks II, the “Charles Darwin of Intelligent Design”; William A. Dembski, the “Isaac Newton of Information Theory”; and Winston Ewert, the “Charles Ingram of Active Information.” World Scientific, 332 pages.
Classification: Engineering mathematics. Engineering analysis. (TA347)
Subjects: Evolutionary computation. Information technology–Mathematics.

… the authors establish that their mathematical analysis of search applies to models of evolution.

I have all sorts of fancy stuff to say about the new book by Marks, Dembski, and Ewert. But I wonder whether I should say anything fancy at all. There is a ginormous flaw in evolutionary informatics, quite easy to see when it’s pointed out to you. The authors develop mathematical analysis of apples, and then apply it to oranges. You need not know what apples and oranges are to see that the authors have got some explaining to do. When applying the analysis to an orange, they must identify their assumptions about apples, and show that the assumptions hold also for the orange. Otherwise the results are meaningless.

The authors have proved that there is “conservation of information” in search for a solution to a problem. I have simplified, generalized, and trivialized their results. I have also explained that their measure of “information” is actually a measure of performance. But I see now that the technical points really do not matter. What matters is that the authors have never identified, let alone justified, the assumptions of the math in their studies of evolutionary models.a They have measured “information” in models, and made a big deal of it because “information” is conserved in search for a solution to a problem. What does search for a solution to a problem have to do with modeling of evolution? Search me. In the absence of a demonstration that their “conservation of information” math applies to a model of evolution, their measurement of “information” means nothing. It especially does not mean that the evolutionary process in the model is intelligently designed by the modeler.1

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Evo-Info sidebar: Conservation of performance in search

Introduction to Evolutionary Informatics, by Robert J. Marks II, the “Charles Darwin of Intelligent Design”; William A. Dembski, the “Isaac Newton of Information Theory”; and Winston Ewert, the “Charles Ingram of Active Information.” World Scientific, 332 pages.
Classification: Engineering mathematics. Engineering analysis. (TA347)
Subjects: Evolutionary computation. Information technology–Mathematics.

Denyse O’Leary, an advocacy journalist employed by one of the principals of the Center for Evolutionary Informatics, reports that I have essentially retracted the first of my papers on the “no free lunch” theorems for search (1996). What I actually have done in my online copy of the paper, marked “emended and amplified,” is to correct an expository error that Dembski and Marks elevated to “English’s Principle of Conservation of Information” in the first of their publications, “Conservation of Information in Search: Measuring the Cost of Success.” Marks, Dembski, and Ewert have responded, in their new book, by deleting me from the history of “no free lunch.” And the consequence is rather amusing. For now, when explaining conservation of information in terms of no free lunch, they refer over and over to performance.1 It doesn’t take a computer scientist, or even a rocket scientist, to see that they are describing conservation of performance, and calling it conservation of information.

The mathematical results of my paper are correct, though poorly argued. In fact, the theorem I provide is more general than the main theorem of Wolpert and Macready, which was published the following year.2 If you’re going to refer to one of the two theorems as the No Free Lunch Theorem, then it really should be mine. Where I go awry is in the exposition of my results. I mistake a lemma as indicating that conservation of performance in search is due ultimately to conservation of information in search.
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