# Exploring the Mystical Connection between Math, Mind, and Nature

When scientists experience “mystical moments,” such breakthroughs usually occur when a scientist discovers something remarkable about the physical world. However, some scientists attest to a different kind of mystical (aha) moment that involves the natural, elegant interplay among the human mind, mathematics, computation, and complex instruments. How do we account for this mystical connection? Can naturalism explain it, or is it more consistent with Christianity?

**One Scientist’s Mystical Moment**

Frank Wilczek is an American theoretical physicist and Nobel Prize winner. His expertise is in particle physics and quantum field theory—research that is as much mathematical as it is physical. He recently wrote an article where he described “My Mystical Moment” while looking at a huge particle detector used in verifying his mathematical theories.

The mystical moment came while I was visiting Brookhaven National Laboratory. . . . I wound up alone, standing on a jerry-rigged observation platform above a haphazard mess of magnets, cables, and panels. . . . And then it happened. It came to me, viscerally, that the intricate calculations I’d done using pen and paper (and wastebasket) might somehow describe this entirely different realm of existence—namely, a physical world of particles, tracks, and electronic signals, created by the kind of machinery I was looking at. There was no need to choose, as philosophers often struggled to do, between mind

ormatter. It was mindandmatter. How could that be? Why should it be? Yet I somehow, I suddenly knew that it could be so, and should be so (emphasis added).

How did Wilczek’s paper and pencil scribblings have any connections to the unbelievably complex mass of heavy equipment that make up the accelerator ring and detectors of a particle collider, and the data that the huge contraption produced?

While on a short-term work assignment at Fermi National Lab near Chicago, I was given a personal tour of their CDF detector. I was overwhelmed by the massive three-story structure. Yet that huge machinery somehow reflected the mathematical theories that came out of the minds of a group of humans and from the numbers plugged into their mathematical equations and cranked through their computer algorithms. This process—the interplay of mind, mathematics, numerical computation, and experimental machinery—is a mystical feedback loop that lies at the heart of science and propels the accumulation of knowledge.

**Figure 1: The Collider Detector at Fermilab (CDF)**

*Image credit: Fermi National Laboratory.*

**Mathematical Abstractions, Numerical Computation, Mind, and the Physical World**

What is the connection between the components of that mechanism, and why and how does it all work to produce useful knowledge? The equations of mathematical physics, as remarkable as they are, are only part of the story. Numbers, mathematical tools, algorithms, and computations play an equally important role.

In his book *Pi in the Sky*,^{1} mathematical physicist John Barrow relates the long and tortuous path through human history that resulted in the development of the number systems we use today: the cardinal numbers (1, 2, 3, 4, . . .), the invention of zero and negative numbers, the set of integers, rational numbers, prime numbers, irrational numbers (√2), transcendental numbers (∏), complex numbers (¡=√−1), and so on. The study of number theory is perhaps the purest form of pure mathematics, yet it is essential.

In a famous lecture to his colleagues, physicist Richard Feynman, duly impressed with the indispensable set of numbers that were his tools, systematically explained how they arise “from the power of the process of abstraction and generalization.”^{2} Do these number systems exist objectively in some Platonic realm? Are they just useful inventions of the human mind? Such questions have led to endless arguments. Nevertheless, scientific discovery would not occur without them.

Then there are the mathematical tools, such as calculus and its solution methods. The calculus came about through a contentious process dating back to the ancient Greeks and being rigorously completed by the nineteenth century.^{3} Finally, there are algorithms^{4} and computing machines that bring life to the equations of physics and produce numbers that describe our world. Why does it all work and why do we believe its results? That is the mystery that Frank Wilczek pondered.

**Humans’ Unique Ability to Discern Truth and Understand the Universe**

Physicist Paul Davies finds it remarkable that “the physics of the Universe *is extremely special*, inasmuch as it is both simple and comprehensible to the human mind” (emphasis original).^{5} In addition, the mathematics and algorithms are comprehensible and computable, and the results *give us understanding* of the physical realm. However, our ability to perceive these truths does not necessarily come from rational, logical, or programmable thought processes. There are some truths that we just innately come to know.

Philosopher Kenneth Samples has identified a set of truths that cannot be verified algorithmically or scientifically: logical truths, metaphysical truths, and objective moral truths.^{6} Some truths must simply be accepted to be able to do science at all. John Barrow describes physicist Roger Penrose’s view:

An interesting case study to consider is the widely publicized claim of Roger Penrose that human thinking is intrinsically non-algorithmic . . . It amounts to the claim that the process by which mathematicians “see” that a theorem is true, or a proof is valid, cannot itself be a mathematical theorem . . . Penrose concludes . . . that

human mathematicians are not using a knowably sound algorithm to ascertain mathematical truth.^{7}(emphasis original)

In addition, astrophysicist Jeff Zweerink shows how we sometimes rely on intuitive and nonrational thinking to arrive at creative solutions, and he recounts his own experience in doing so.^{8} From these considerations, we arrive at this conclusion: Humans can discern the truth of a variety of abstract ideas without employing the tools of logic, formal mathematics, or even rational reasoning.

**The Only Plausible Explanation: Humans Were Made in the Image of God**

During my years as a student at the University of Texas at Austin, I must have walked past the main building more than a hundred times. Very prominently across the facade is the phrase: “Ye Shall Know the Truth and the Truth Shall Make You Free.” Occasionally I would marvel that this promise from Jesus in John’s gospel is thought to have meaning to the overwhelmingly secular culture on campus. Yet, some innate ability to discern truth is necessary for the accumulation of knowledge. However, the ontology (the nature of being) of materialistic naturalism, if truly believed, would lead down into a skeptical abyss. What’s the knowledge potential of a brain that’s the result of incremental and undirected evolution and is located on an arbitrary branch of the evolutionary tree, not far from that of a monkey?

**Figure 3: The Main Building of the University of Texas at Austin***Image Credit: Otis Graf*

What gave that “human animal” the mind and ability to merge the laws of nature with mathematics, numbers, and computation to form a deep understanding of the physical world? There is no preferred direction or outcome in evolutionary biology, yet that process (supposedly) produced that remarkable achievement. Materialistic naturalism has no plausible explanation. The Bible has *the* explanation and even secular scientists—while denying God’s existence—must adopt elements of a biblical worldview to do their creative work of discovery.

**Endnotes**

- John Barrow,
*Pi in the Sky: Counting, Thinking, and Being* - The significance of this lecture is discussed in James Gleick’s book
*Genius: The Life and Science of Richard Feynman*(New York: Vintage Books, Random House, 1992), 182–183. The lecture has been published in*The Feynman Lectures on Physics, Volume I, Chapter 22*https://www.feynmanlectures.caltech.edu/I_22.html, accessed September 6, 2022__,__*.* - David Berlinski,
*A Tour of the Calculus*(New York: Vintage Books, Random House, 1995), 47–49. - A good example of a simple computational algorithm is the numerical evaluation of a square root. See “Newton’s Iteration,” Wolfram MathWorld, https://mathworld.wolfram.com/NewtonsIteration.html, last updated August 22, 2022.
- Bernard Carr, ed.,
*Universe or Multiverse*(New York: Cambridge University Press, 2007), 494. - Kenneth R. Samples,
*Christianity Cross-Examined: Is It Rational, Relevant, and Good?*(Covina, CA: RTB Press, 2021), 46–49. - Barrow,
*Pi in the Sky*, 285. - Jeff Zweerink, “Does Human Reasoning Demonstrate Exceptionalism?,”
*Impact Events*(blog),*Reasons to Believe*, June 10, 2022.