Nature is a jazz band, not a machine

We treat it so at our peril

From genetic engineering to geoengineering, we treat nature as though it’s a machine. This view of nature has deep roots in Western thought, all the way to Descartes and Hobbs, but it’s a fundamental misconception with potentially disastrous consequences, argues Jeremy Lent.

 

Climate change, avers Rex Tillerson, ex-CEO of ExxonMobil and erstwhile US Secretary of State,  “is an engineering problem, and it has engineering solutions.” This brief statement encapsulates how the metaphor of the machine underlies the way our mainstream culture views the natural world. It also hints at the grievous dangers involved in perceiving nature in this way.

This mechanistic worldview has deep roots in Western thought. The great pioneers of the Scientific Revolution, such as Galileo, Kepler, and Newton, believed they were decoding “God’s book,” which was written in the language of mathematics. God was conceived as a great clockmaker, the “artificer” who constructed the intricate machine of nature so flawlessly that, once it was set in motion, there was nothing more to do (bar the occasional miracle) than let it run its course. “What is the heart, but a spring,” wrote Thomas Hobbes, “and the nerves but so many strings?” Descartes flatly declared: “I do not recognize any difference between the machines made by craftsmen and the various bodies that nature alone composes.”

In recent decades, the mechanistic conception of nature has been updated for the computer age, with popularizers of science such as Richard Dawkins arguing that “life is just bytes and bytes and bytes of digital information” and as a result, an animal such as a bat “is a machine, whose internal electronics are so wired up that its wing muscles cause it to home in on insects, as an unconscious guided missile homes in on an aeroplane.” This digital metaphor of nature pervades our culture and is used unreflectively by those in a position to direct our society’s future. According to Larry Page, co-founder of Google, for example, human DNA is just “600 megabytes compressed, so it’s smaller than any modern operating system . . .  So your program algorithms probably aren’t that complicated.”

But nature is not in fact a machine nor a computer—and it can’t be engineered or programmed like one. Thinking of it as such is a category error with ramifications that are both deluded and dangerous.

Ultimately, this machine metaphor is based on a simplifying assumption, known as reductionism, which approaches nature as a collection of tiny parts to investigate.

 

Ultimately, this machine metaphor is based on a simplifying assumption, known as reductionism, which approaches nature as a collection of tiny parts to investigate. This methodology has been resoundingly effective in many fields of inquiry, leading to some of our greatest advances in science and technology. Without it, most of the benefits of our modern world would not exist—no electrical grids, no airplanes, no antibiotics, no internet. However, over the centuries, many scientists and engineers have been so swept up by the success of their enterprise that they have frequently mistaken this assumption for reality—even when advances in scientific research uncover its limitations.

When James Watson and Francis Crick discovered the shape of the DNA molecule in 1953, they used metaphors from the burgeoning information revolution to describe their findings. The genotype was a “program” that determined the exact specifications of an organism, just like a computer program. DNA sequences formed the “master code” of a “blueprint” that contained a detailed set of “instructions” for building an individual. Prominent geneticist Walter Gilbert would begin his public lectures by pulling out a compact disk and proclaiming “This is you!”

Continue reading

Enjoy unlimited access to the world's leading thinkers.

Start by exploring our subscription options or joining our mailing list today.

Start Free Trial

Already a subscriber? Log in

Latest Releases
Join the conversation