The Computer Scientist Challenging Evolution With Mathematics

Discussions about evolution often focus on fossils, genetics, or competing interpretations of scientific evidence. But one researcher has approached the question from a very different angle: mathematics and computer science.

Dr. Winston Ewert, a computer scientist associated with Baylor University, argues that the debate is not merely philosophical or theoretical. In his view, the question is whether the process proposed by evolutionary theory can actually generate the complex information required for life. Using mathematical models and computer simulations, Ewert has devoted much of his research to examining that very issue.

A Question of Information

At the center of Ewert's work is DNA, the biological code that contains the instructions for building and maintaining living organisms.

Ewert argues that DNA functions much like a sophisticated information system. Because information-rich systems in everyday life are typically produced by intelligent agents, he questions whether undirected evolutionary processes can account for the enormous amount of information found in living cells.

According to Ewert, this is not simply a matter of speculation. He believes the question can be examined mathematically and tested through computer modeling.

The Computer Simulation Challenge

Ewert's interest in the subject began when he encountered arguments claiming that computer simulations demonstrated the power of evolution to generate complexity.

Intrigued, he decided to investigate whether those simulations truly reflected the processes they were intended to model.

Working with researchers including Professor Paul Nelson and Professor Robert Marks, Ewert analyzed a variety of evolutionary algorithms and computer models. He concluded that many successful simulations rely on information or guidance that is built into the system from the start.

In other words, he argues that the programs often achieve their results because important information has already been supplied by the programmer.

Can Random Processes Create Complex Information?

One of Ewert's central claims is that generating complex biological information is a far greater challenge than many people realize.

While mutations and natural selection can produce changes within existing systems, he argues that explaining the origin of entirely new information remains a significant problem.

According to Ewert, computer models designed to test these questions have not demonstrated the ability to generate the level of complexity required to account for life as we know it.

Supporters of evolutionary theory disagree with this conclusion, arguing that biological evolution operates differently from computer simulations and that genetic mechanisms can produce new forms of information over time.

The debate remains ongoing.

Faith and Science

In addition to his technical research, Ewert has written extensively about the relationship between faith and science.

In his book The Historical Interaction Between Faith and Science, he argues that the common portrayal of religion and science as natural enemies does not accurately reflect history.

According to Ewert, many of the foundations of modern science were laid by scholars who saw scientific investigation as a way of better understanding Hashem's creation.

He maintains that genuine scientific discovery and authentic faith ultimately point in the same direction.

When Science and Torah Seem to Conflict

When asked how he approaches apparent contradictions between scientific conclusions and Torah teachings, Ewert offers a measured response.

He suggests that when a conflict appears to exist, it may stem from an incomplete understanding of the scientific evidence, an incorrect interpretation of the Torah text, or both.

Because human knowledge is always limited, he argues, caution and humility are essential when dealing with questions about the origins of life and the universe.

A Debate That Continues

Questions about evolution, information, and the origin of life remain among the most discussed topics in modern science.

While researchers continue to disagree about the answers, Ewert's work represents a growing effort to examine these questions through the lens of mathematics, computer science, and information theory.

Whether one agrees with his conclusions or not, his research highlights an important point: some of the biggest questions about life are still being actively explored, debated, and tested.