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Reclaiming Biology From The Design Heisters

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Review Of The Eighth Chapter Of Signature In The Cell by Stephen Meyer
ISBN: 9780061894206; Imprint: Harper One

In the middle ages, Moses Maimonides debated heavily with Islamic philosophers over the Aristotlean interpretation of the universe. By looking at the stars and seeing their irregular pattern in the heavens, he concluded that only design could have generated the star arrangements he observed (1). In the process he ruled out necessity and the Epicurean ideology of chance. Centuries later Isaac Newton similarly opted for design as the best explanation for the origins of our solar system. Writing in his General Scholium for example Newton left us with no doubt over where his focus lay:

“This most beautiful system of sun, planets, and comets could only proceed from the counsel and dominion of an intelligent and powerful Being” (2).

Still, with the revolutions in thought brought forth by the likes of Pierre Simon Laplace and of course later Charles Darwin, the stage was set for chance and necessity to become the only players permissible in scientific discourse (1). Today science operates under the conviction that the material world “is all there is, and that chance and impersonal natural law alone explain, indeed must explain, its existence” (3).

So, what of chance? When statisticians refer to chance events what they really mean is that the exact combination of physical factors that cause these events are so complex that their occurrence cannot be reasonably predicted. Implicit in an appeal to chance is the negation of any sort of law-like necessity or Maimonidean-style recourse to design. On the flip side, Stephen Meyer reminds us in Signature In The Cell that that chance hypotheses can be eliminated when “a series of events occurs that deviates too greatly from an expected statistical distribution” (p.180).

A casino player winning 100 bets consecutively while spinning a roulette wheel is an obvious example of such a deviation. But low probability in itself is not enough for detecting design. Indeed fundamental to this particular non-chance alternative is the recognition of some sort of discernible pattern- 100 wins on a roulette wheel for example- that compels us to suspect that an intelligence somewhere is directing the outcome.

For Meyer such insights were seeded through conversations he held with philosopher William Dembski in the hallways of academia as he grappled with questions relating to life’s origins. Much to the chagrin of the Darwin-faithful, today Dembski not only contends that design, “is a legitimate and fundamental mode of scientific explanation on a par with chance and necessity” but also argues that there exists a set of criteria for reliably detecting design in biology (1).

Pattern discernment, Dembski asseverates, can be retrospectively applied; that is, to events that have already occurred. Indeed as any spy buff will attest, cryptoanalysts routinely decode signals only after these signals have been generated and transmitted. Intelligent involvement in such cases can either be ruled in or out through a thorough examination of the available probabilistic resources (4).

In Signature In The Cell Meyer builds on Dembski’s cornerstone case and uses a seemingly non-ending supply of illustrations to firm up his own supportive arguments. But the reader is nevertheless left pondering over what relevance such illustrations have to the matter at hand, namely demonstrating that the origin of life requires more than just chance. Meyer meticulously alleviates such concerns with a component-by-component breakdown of the probabilistic resources of our cosmic landscape. He writes:

“There are a limited number of opportunities for any given event to occur in the entire history of the universe. Dembski was able to calculate this number by simply multiplying the three relevant factors together: the number or elementary particles (1080) times the number of seconds since the big bang (1016) times the number of possible interactions per second (1043). His calculation fixed the total number of events that could have taken place in the observable universe since the origin of the universe at 10130” (pp.216-217).

Applying his calculations on limits to biology Meyer notes:

“the probability of producing a single 150 amino acid protein by chance stands at about 1 in 10164. Thus for each functional sequence of 150 amino acids there are at least 10164 other possible non-functional sequences of the same length…Unfortunately that number vastly exceeds the most optimistic estimate of the probabilistic resources of the entire universe- that is the number of events that have occurred since the beginning of its existence” (p.217).

While such a rationale has already been advanced in the peer-reviewed literature (5), it is as profoundly relevant today as it was in its original context. Those design heisters who acrimoniously steal intelligent design away from the realm of biology do so at a tremendous cost to us all.  Intelligent design is after all not ‘pie in the sky’ story telling. It is rigorous science.

Literature Cited
1.William Dembski (2002), No Free Lunch: Why Specified Complexity Cannot Be Purchased Without Intelligence, Rowman & Littlefield Publishers, Inc, Lanham, Maryland, pp.1-3

2. Nancy R. Pearcey and Charles B. Thaxton (1994), The Soul of Science: Christian Faith and Natural Philosophy; Crossway Books; Wheaton, Illinois, p.91

3. Guillermo Gonzalez and Jay Richards (2004), The Privileged Planet, How Our Place In The Cosmos Is Designed For Discovery, Regnery Publishing Inc, Washington D.C, New York, p.224

4. For a review of probability as relates to the biological context see Robert Deyes and John Calvert (2009), We Have No Excuse: A Scientific Case for Relating Life to Mind, Intelligent Design Network, See http://www.intelligentdesignnetwork.org/We_have_no_excuse.pdf

5. Stephen C. Meyer (2004), The Origin Of Biological Information And The Higher Taxonomic Categories, Proceedings of the Biological Society of Washington, Volume 117, pp. 213-239

Comments
What I find odd is that anti-IDists challenge the math of IDists, yet expect everyone to accept their assertion that chance is sufficient explanation without any mathematical model whatsoever. It seems to me that questioning IDers on the accuracy of their probability analysis is rather hypocritical when one offers no probability analysis whatsoever to support one's original contention that chance is a sufficient explanation. Mote, eye, beam.William J. Murray
October 19, 2009
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Mr Vjtorley, Thank you for your response. I admit I am surprised by both its length and its vigor. My message to which you are responding was itself a response to Mr Deyes' review. As such, I am questioning several aspects of the review, not Dr Meyer's original work. To deal with a shorter matter first, yes, I have read Dr Meyer's 2004 article. To the extent that Mr Deyes' OP would like to use the words 'peer review' he should be consistent. If the peer review system is important and badges its products with additional honor, you have to take the whole process. If instead the ideas expressed in Meyer 2004 are the important thing, reference it from the discovery.org site. I didn't pan the paper, I found Mr Deyes' citation disingenuous. In the case of the larger question, my query as to whether Mr Deyes was making a direct quote was based on exactly the respect for Dr Meyer's learning that you think I am questioning. What Kalinsky, Dembski, and Marks have written is neither here nor there, but your quote of Dr Meyer himself shows that he is aware that looking for a specific funtional protein has (according to the most pessimistic estimate of Axe 2004) a probability of 10^-77 (Axe 2004 has an optimistic estimate of 10^-53, a pretty big error bar!). 10^-77 is a far cry from 10^-164. I do find it quite surprising that Dr Meyers would slip almost 90 orders of magnitude and not notice it. Therefore my question to Mr Deyes. I make no remark against Dr Meyers, I haven't read his book yet. (I'm hoping to win it in contest #11!) I hope that clarifies my position.Nakashima
October 19, 2009
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Mr. Nakashima It is extremely rash to accuse someone like Stephen Meyer, who has been actively involved in origin-of-life research for more than 20 years, of making an elementary blunder in probability theory. And insinuating that he is deceiving his audience ("Does Dr Meyer really just slip the word 'functional' into that second sentence?") is borderline slanderous. But that is what you have done. As it happens, there are plenty of articles online which refute your claim that Dr. Meyer has confused the astronomical improbability of a particular sequence of amino acids with the (far greater) probability of a sequence of amino acids that can perform the same function as that particular sequence. Here, for example, is what Drs. William Dembski and Robert Marks wrote on the subject in their 2009 paper, Life's Conservation Law: Why Darwinian Evolution Cannot Create Biological Information :
From examining the computational capacity of the universe at large, quantum computational theorist Seth Lloyd has shown that 10^120 is the maximal number of bit operations that the known, observable universe could have performed throughout its entire multi-billion year history.(27)... Most search spaces that come up in the formation of biological complexity are far too large to be searched exhaustively. Take the search for a very modest protein, one that is, say, 100 amino acids in length (most proteins are several hundreds of amino acids in length). The space of all possible protein sequences that are 100 amino acids in length has size 20^100, or approximately 1.27 × 10^130, which exceeds Lloyd’s limit. For this space, finding a particular protein via blind search corresponds to a 1 in 10^130 improbability. Exhaustively or blindly searching a space this size to find a target this small is utterly beyond not only present computational capacities but also the computational capacities of the universe as we know it. Biochemist Robert Sauer has used a technique known as cassette mutagenesis to determine how much variation proteins can tolerate in their amino acids without disrupting function. His results show that taking this variation into account raises the probability of forming a 100-subunit functional protein to 1 in 10^65. But given 10^65 atoms in our galaxy, this probability is still vanishingly small. Add to this that most proteins are not 100 but 250 to 300 amino acids in length and also that most proteins exist and operate in complexes requiring multiple proteins, and any prospect for blind search effectively exploring biological configuration space disappears.(28)
From a somewhat different perspective, K. D. Kalinsky addresses the same issue in his article, Intelligent Design: Required by Biological Life? (2008). Here is what he says about protein folding:
Axe has estimated that the frequency of occurrence of stable, folded functional protein domains, a structurally independent component of a protein, is somewhere between 10^-64 to 10^-77.(8) These values correspond to M(E-x)/N in Eqn. (1). The functional information required, therefore, to code for a stable, folded protein domain is 213 to 256 bits. Since we have estimated I-nat at a generous 185 bits, which is much too low to achieve the amount of functional information required to produce a folded, functional protein domain, I(E-x) > I-nat and it is at least 10^19 times more probable that ID can produce a folded functional domain than mindless natural processes. The method of ID detection proposed in this article, therefore, reveals that ID is highly likely to be required to produce folded, functional protein domains. [The dashes denote subscripts - VJT.]
And here is what Dr. Stephen Meyer himself wrote in "The Origin of Biological Information and the Higher Taxonomic Categories" (2004) at http://www.discovery.org/a/2177 , which is the very paper you panned as "withdrawn" (did you read it?):
Cassette mutagenesis experiments performed during the early 1990s suggest that the probability of attaining (at random) the correct sequencing for a short protein 100 amino acids long is about 1 in 10^65 (Reidhaar-Olson & Sauer 1990, Behe 1992:65-69). This result agreed closely with earlier calculations that Yockey (1978) had performed based upon the known sequence variability of cytochrome c in different species and other theoretical considerations. More recent mutagenesis research has provided additional support for the conclusion that functional proteins are exceedingly rare among possible amino acid sequences (Axe 2000, 2004). Axe (2004) has performed site directed mutagenesis experiments on a 150-residue protein-folding domain within a B-lactamase enzyme. His experimental method improves upon earlier mutagenesis techniques and corrects for several sources of possible estimation error inherent in them. On the basis of these experiments, Axe has estimated the ratio of (a) proteins of typical size (150 residues) that perform a specified function via any folded structure to (b) the whole set of possible amino acids sequences of that size. Based on his experiments, Axe has estimated his ratio to be 1 to 10^77. Thus, the probability of finding a functional protein among the possible amino acid sequences corresponding to a 150-residue protein is similarly 1 in 10^77. Other considerations imply additional improbabilities. First, new Cambrian animals would require proteins much longer than 100 residues to perform many necessary specialized functions. Ohno (1996) has noted that Cambrian animals would have required complex proteins such as lysyl oxidase in order to support their stout body structures. Lysyl oxidase molecules in extant organisms comprise over 400 amino acids. These molecules are both highly complex (non-repetitive) and functionally specified. Reasonable extrapolation from mutagenesis experiments done on shorter protein molecules suggests that the probability of producing functionally sequenced proteins of this length at random is so small as to make appeals to chance absurd, even granting the duration of the entire universe.
To cut a long story short: a functional sequence of amino acids may be vastly more probable than any of its particular instantiations. But it is still extremely improbable - simply because the vast majority of possible amino acid sequences are completely non-functional. The needle-in-a-haystack metaphor is entirely apt. Mr. Nakashima, I think a retraction is called for. ID theorists are not ignorant. They have thought long and hard about the probabilities of the events they describe, and they have concluded that undirected mechanisms are an extremely implausible explanation even for the origin of proteins, let alone life.vjtorley
October 19, 2009
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Nakashima: Your PC must heat a lot! And we all know it wasn't built or intended to be used as a space heater. Yet, even if we had never known what a PC was we would still be able to make a valid design inference for its origin simply by examining its structure and components. A fire started by lightning also heats space. We know that the probability for such is high and that no intelligent origin need be posited. The laws of physics etc, suffice. Not so with "functional" proteins. They do work. They are not inert. They contain "useful" information. And that information is encoded. We also know that no coded information can exist without intelligence. The only encoded information systems we know of are all designed by intelligences. There is no such thing as a code system without intelligent origin. The very concept of code implies intelligence. Code is symbolic convention. No such thing can exist without intelligent origin. The information encoded in DNA is both descriptive and prescriptive in nature. It is instructions for building living things. It is meaningful or semantic. Prescriptive information is always formal. Never random. DNA also contains meta information. Meta information is information on information. This too requires an intelligence. Meta information is impossible without intelligence - yet the cell contains meta information.
Genomic instructions are a form of what Abel (Abel, 2002, Abel and Trevors, 2005) call prescriptive information. Such a clarifying descriptor of information is necessary to distinguish mere Shannon combinatorial uncertainty and Kolmogorov complexity from functional algorithmic strings. Algorithms steer events and behaviors towards predictable usefulness. Prescriptive information utilizes a sign system to either instruct or direct compute utility. … Artificial life investigators and most applied biologists accepted this reality early on. Steering is required to achieve sophisticated function of any kind. Much of the life-origin research community, however, continues to “live in denial” of this fact. -Biosemiotic Research Trends
my boldBorne
October 19, 2009
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Hey everybody, long-time visitor, first-time poster. Just wanted to point out a typo (I hope it's a typo). "Dembski was able to calculate this number ... the number of seconds since the big bang (10^16) ... (pp.216-217)." Notice the part about seconds since the Big Bang. 10^16. 10^16 seconds / 60 = 1.66666667 × 10^14 minutes. 1.66666667 × 10^14 /60 = 2.77777778 × 10^12 hours. 2.77777778 × 10^12 /24 = 1.15740741 × 10^11 days. 1.15740741 × 10^11 /365 = 317 097 921 years. Just wanted to show my work, but what I got was 317 097 921 years, which is quite a bit less than the billions of years scientists believe the universe to have existed. (I've heard ~13.7 billion.) Please update your article to reflect Dr. Dembski's original work.DCX
October 19, 2009
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Mr Deyes, the probability of producing a single 150 amino acid protein by chance stands at about 1 in 10^164. Thus for each functional sequence of 150 amino acids there are at least 10^164 other possible non-functional sequences of the same length... Does Dr Meyer really just slip the word 'functional' into that second sentence? I have a PC that functions as a space heater. Its particular arrangement of atoms has to be at the same or greater level of improbability as a 150 AA protein, but it is not the only thing in the universe that functions as a space heater. Your reference 5 is missing the word "withdrawn".Nakashima
October 19, 2009
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We can tell when humans rig the lottery, ergo we can tell that the universe was designed. Works for me.Anthony09
October 19, 2009
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"A casino player winning 100 bets consecutively while spinning a roulette wheel is an obvious example of such a deviation. But low probability in itself is not enough for detecting design. Indeed fundamental to this particular non-chance alternative is the recognition of some sort of discernible pattern- 100 wins on a roulette wheel for example- that compels us to suspect that an intelligence somewhere is directing the outcome." Yeah, tell me about it. I live in a province where the premier just fired the chair and the whole board of the lottery commission over issues like this. It wasn't that the pattern was unpredictable. That's the idea behind a lottery; you pays yer money and you takes yer chance. The problem was the opposite: The pattern WAS predictable. Far too many people who were selling the tickets were winning. That pattern demonstrated design, because only design could have interfered with the lottery, as it is run. Whatever else this situation demos (like buying lottery tickets is a waste of money and an inducement to fraud, theft, and social irresponsibility*) it illustrates a design inference. *I particularly hate it when government proclaims that the lottery funds hospitals and sports activities. Where these are necessary expenses, why not fund them in the normal way through tax collection, where they can be debated in the legislature?O'Leary
October 19, 2009
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