Can random molecular interactions create life? (Highlights of the Los Alamos Origins Debate: Part I)

This entry is part 2 of 6 in the series Highlights of the Los Alamos Origins Debate

Many evolutionists are persuaded that the 15 billion years they assume for the age of the cosmos is an abundance of time for random interactions of atoms and molecules to generate life. A simple arithmetic lesson reveals this to be no more than an irrational fantasy.1

This arithmetic lesson is similar to calculating the odds of winning the lottery. The number of possible lottery combinations corresponds to the total number of protein structures (of an appropriate size range) that are possible to assemble from standard building blocks. The winning tickets correspond to the tiny sets of such proteins with the correct special properties from which a living organism, say a simple bacterium, can be successfully built. The maximum number of lottery tickets a person can buy corresponds to the maximum number of protein molecules that could have ever existed in the history of the cosmos. 

“The DNA sequence of a gene encodes the amino acid sequence of a protein”

Let us first establish a reasonable upper limit on the number of molecules that could ever have been formed anywhere in the universe during its entire history. Taking 1080 as a generous estimate for the total number of atoms in the cosmos2, 1012 for a generous upper bound for the average number of interatomic interactions per second per atom, and 1018 seconds (roughly 30 billion years) as an upper bound for the age of the universe, we get 10110 as a very generous upper limit on the total number of interatomic interactions which could have ever occurred during the long cosmic history the evolutionist imagines. Now if we make the extremely generous assumption that each interatomic interaction always produces a unique molecule, then we conclude that no more than 10110 unique molecules could have ever existed in the universe during its entire history.

Now let us contemplate what is involved in demanding that a purely random process find a minimal set of about one thousand protein molecules needed for the most primitive form of life. To simplify the problem dramatically, suppose somehow we already have found 999 of the 1000 different proteins required and we need only to search for that final magic sequence of amino acids which gives us that last special protein. Let us restrict our consideration to the specific set of 20 amino acids found in living systems and ignore the hundred or so that are not. Let us also ignore the fact that only those with left-handed symmetry appear in life proteins. Let us also ignore the incredibly unfavorable chemical reaction kinetics involved in forming long peptide chains in any sort of plausible non-living chemical environment.

Let us merely focus on the task of obtaining a suitable sequence of amino acids that yields a 3D protein structure with some minimal degree of essential functionality. Various theoretical and experimental evidence indicates that in some average sense about half of the amino acid sites must be specified exactly3 For a relatively short protein consisting of a chain of 200 amino acids, the number of random trials needed for a reasonable likelihood of hitting a useful sequence is then on the order of 20100 (100 amino acid sites with 20 possible candidates at each site), or about 10130 trials. This is a hundred billion billion times the upper bound we computed for the total number of molecules ever to exist in the history of the cosmos!! No random process could ever hope to find even one such protein structure, much less the full set of roughly 1000 needed in the simplest forms of life. It is therefore sheer irrationality for a person to believe random chemical interactions could ever identify a viable set of functional proteins out of the truly staggering number of candidate possibilities.

“Figure 1: Gallery of proteins. Representative examples of protein size are shown with examples drawn to illustrate some of the key functional roles they take on. All the proteins in the figure are shown on the same scale to give an impression of their relative sizes.” Source

In the face of such stunningly unfavorable odds, how could any scientist with any sense of honesty appeal to chance interactions as the explanation for the complexity we observe in living systems? To do so, with conscious awareness of these numbers, in my opinion represents a serious breach of scientific integrity. This line of argument applies, of course, not only to the issue of biogenesis but also to the issue of how a new gene/protein might arise in any sort of macroevolution process.

One retired Los Alamos National Laboratory Fellow, a chemist, wanted to quibble that this argument was flawed because I did not account for details of chemical reaction kinetics. My intention was deliberately to choose a reaction rate so gigantic (one million million reactions per atom per second on average) that all such considerations would become utterly irrelevant. How could a reasonable person trained in chemistry or physics imagine there could be a way to assemble polypeptides on the order of hundreds of amino acid units in length, to allow them to fold into their three-dimensional structures, and then to express their unique properties, all within a small fraction of one picosecond!? Prior metaphysical commitments forced him to such irrationality.

Another scientist, a physicist at Sandia National Laboratories, asserted that I had misapplied the rules of probability in my analysis. If my example were correct, he suggested, it “would turn the scientific world upside down.” I responded that the science community has been confronted with this basic argument in the past but has simply engaged in mass denial. Fred Hoyle, the eminent British cosmologist, published similar calculations two decades ago.4 Most scientists just put their hands over their ears and refused to listen.

In reality this analysis is so simple and direct it does not require any special intelligence, ingenuity, or advanced science education to understand or even originate. In my case, all I did was to estimate a generous upper bound on the maximum number of chemical reactions — of any kind — that could have ever occurred in the entire history of the cosmos and then compare this number with the number of trials needed to find a single life protein with a minimal level of functionality from among the possible candidates. I showed the latter number was orders and orders larger than the former. I assumed only that the candidates were equally likely. My argument was just that plain. I did not misapply the laws of probability. I applied them as physicists normally do in their every day work.

Why could this physicist not grasp such trivial logic? I strongly believe it was because of his tenacious commitment to atheism that he was willing to be dishonest in his science. At the time of this editorial exchange, he was also leading a campaign before the state legislature to attempt to force this fraud on every public school student in our state.

Series Navigation<< Highlights of the Los Alamos Origins Debate – IntroductionJust How Do Coded Language Structures Arise? (Highlights of the Los Alamos Origins Debate: Part II) >>

  1. Featured image of the DNA Double Helix Molecule originally from here (now obsolete), from Darwin’s Theory of Evolution: DNA Causes Geneticists, Other Scientists, Join Ranks of Dissenters (April 6, 2009). 

  2. [2] C. W. Allen, Astrophysical Quantities 3rd Ed., University of London, Athlone Press, p. 293, 1973; M. Fukugita, C. J. Hogan, and P. J. E. Peebles, “The Cosmic Baryon Budget,” Astrophys. J., 503, 518-530, 1998. 

  3. [3] H. P. Yockey, “A Calculation of the Probability of Spontaneous Biogenesis by Information Theory,” Journal of Theoretical Biology, 67, 377-398, 1978; Information Theory and Molecular Biology, Cambridge University Press, 1992.  

  4. [4] F. Hoyle and N. C. Wickramasinghe, Evolution From Space, J. M. Dent, London, 1981. 

  5. Brian Thomas, M.S., ““More Than Just ‘Complex’,” Acts & Facts 12(2008), p. 15 

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