Evolution’s logic is shaping medicine, markets, and minds

A new book argues that natural selection isn’t a chapter from high school biology—it’s an active force driving everything from antibiotic failure and cancer treatment strategies to how people misunderstand risk and cling to what they own.

A patient in Nevada arrived at a hospital with an infection that should have been treatable. The doctors reached for the first antibiotic. It didn’t work. The second didn’t work either. By the end. they had tried every one of the 26 antibiotics available in the United States—only for the patient to die. as would have been the case before antibiotic drugs even existed.

The bacteria that killed her weren’t exotic or lab-made. They had evolved in response to selection pressures—doing what populations of organisms do every day. all around us. mostly without notice. The book argues that the human cost of misunderstanding how selection pressures work is bigger than most people realize.

Owen Jones. a professor of law and biology at Vanderbilt University. frames the central idea of his new book. Force of Nature: Understanding Evolution’s Deepest Logic―and Putting It to Use. in stark terms: people are prone to make big. extremely consequential mistakes when they overlook. underestimate. or misunderstand natural selection.

He doesn’t treat evolution as history. He treats it as a present-tense engine running “as constant as gravity.” In his view, natural selection is operating in hospitals, on kitchen counters, in oceans, and in farm fields—and it even influences how the brain works and how decisions get made.

To make the scale unavoidable. Jones offers an image: evolution as a single. unsupervised factory operating for 3.5 billion years to produce every living thing on Earth. from redwoods and blue whales to gut microbes and “every one of us.” It doesn’t pause just because humans believe they’ve outgrown evolution.

He points to a vivid example of speed. After the 1986 nuclear reactor disaster at Chernobyl. scientists entering the contamination zone found a fungus that wasn’t just surviving radiation—it was thriving in it. In just five years. natural selection had adapted that fungus to do better in the presence of catastrophic radiation than without it. Evolution, Jones argues, can shift fast enough to be visible on a human timescale.

From that starting point, the book lays out four areas where selection pressures are already shaping outcomes—sometimes helping, sometimes harming, and sometimes running the show quietly.

First comes medicine, where the instinct to “kill it all” can backfire. Jones ties the story of the Nevada patient to what he says is a culture-wide habit: fight infection by wiping it out. The mechanism is familiar in evolutionary terms. Each time an antibiotic is used. bacteria that are easy to kill are removed. while survivors—those with resistance—are left behind. With plenty of food and no competition, they multiply. Over decades across individuals spread around the globe, the result isn’t just tougher strains; it’s superbugs.

The same pattern, he says, appears in farming. Pesticides that kill 99% of a crop’s pests leave the 1% that survive because they’re resistant. After a few seasons of breeding, the whole population can become resistant.

And in cancer treatment, the logic becomes grimly similar. Jones describes the approach of using the maximum tolerable dose of chemotherapy. which kills the cells that are easier to kill while leaving the ones most resistant to treatment. With competitors removed, those survivors reproduce and can spread even more aggressively—often killing the patient in the process.

The alternative, in Jones’s telling, isn’t surrender. It’s changing strategy: adaptive therapy.

He cites Robert Gatenby, an oncologist running clinical trials in prostate cancer using adaptive therapy. Instead of trying to kill every cancer cell. Gatenby treats the patient just enough to keep the tumor in check. then backs off—deliberately leaving some drug-sensitive cells alive so they can outcompete the resistant ones. In his trials, Jones says, that approach roughly doubled the lifespan of patients who received that therapy.

Even farming, Jones adds, is borrowing the same playbook. In some regions, pesticide-free plots are planted right next to fields treated with pesticides. Vulnerable pests survive and breed alongside resistant ones; their offspring remain susceptible to pesticides. The goal isn’t eradication—it’s keeping pests manageable. In Jones’s framing. attempted eradication often breeds a stronger enemy than the one being targeted. and sometimes the smarter move is a managed truce.

Second, the book turns from threats to inspiration, arguing that nature is also an R&D system. Jones calls evolution the “most extraordinary inventor the planet has ever seen,” describing living organisms as prototypes that passed billions of field tests.

He offers two examples. The first comes from Japan’s Shinkansen, the bullet train. Jones describes a problem the train faced: every time it shot out of a tunnel, it produced a thunderclap. A member of the engineering team noticed how kingfishers dive from the air into water with minimal splash. The train’s nose was redesigned to look like a kingfisher’s beak. The boom went away, the train ran faster, and it used less electricity.

The second example shifts from copying traits to harnessing natural selection inside computation. Jones recounts a 2004 NASA need for a tiny antenna for one of its smaller satellites. describing it as a shape problem with dozens of competing constraints. Human engineers specializing in antenna design didn’t meet mission requirements. NASA then turned to evolutionary computation, a subfield of artificial intelligence that simulates natural selection in a computer.

Jones says two very rough parent programs for designing an antenna were created, then bred together. Digital offspring shared varying halves of each parent. and some coding elements were mutated from 0s to 1s. and vice versa. The best-performing offspring became the parents of the next generation. The process ran repeatedly until the final program coded for an antenna that looked like a bent paper clip with weird kinks and angles—but outperformed the best human design. NASA sent that antenna into space.

Jones argues people often think of cutting-edge technology as something humans invent despite nature. as if the natural world is the opposite of high-tech. His claim is closer to the reverse: the frontier in materials science. design. artificial intelligence. and medicine may be reading nature’s “notebook. ” borrowing and adapting the methods that already work.

Three and a half billion years of R&D, he says. The patents are free. And humans have barely opened the file.

A third strand in the book is risk—and how brains built for one world get tricked in another. Jones describes a 1978 question given to a group of doctors and medical students at a leading medical school: “Imagine a disease that affects 1 person in 1. 000. The test for it has a 5% false positive rate. Your patient just tested positive. What’s the chance they have the disease?”.

Jones says the right answer is around 2%. Yet almost half of those highly trained subjects answered 95%, missing the mark by nearly a factor of 50. The book describes how later researchers showed the lesson people drew—that humans are bad at calculating conditional risks. and that more statistics classes are needed—was incomplete.

Jones argues the core issue is format. For roughly 99% of human history, ancestors didn’t encounter percentage or decimal risks framed with percent signs. They encountered people and events in whole numbers, “the language of natural frequencies.”

He restates the same medical question using “1. 000 people” and “about one of them” having the disease. while about 50 of the other 999 who don’t would test false positive. In that framing. Jones says. the chance a person who tests positive has the disease becomes roughly 2 in 100—about 2%—and the answer becomes obvious.

He also points to a subsequent study in which reframing statistics in terms of natural frequencies boosted doctors’ accuracy from 8% to 46%. Same problem, same brains, just a different format.

The book’s final thread connects decision-making to the mismatch between human psychology and modern systems. Jones argues that even when people are well-rested and well-informed, they still behave in ways that look irrational. He lists common examples: eating ice cream while trying to lose weight; panicking about plane crashes while shrugging at car crashes.

But viewed through natural selection, he says, many “irrationalities” can look like survival instincts that worked in an earlier world and haven’t caught up to refrigerators, enforceable contracts, and stock markets.

He homes in on the endowment effect. where people refuse to sell something they’ve acquired for far more than what they would have paid to buy it just moments earlier. Jones says even close primate relatives show the same behavioral leaning. In an experiment with chimpanzees. Jones describes how a chimp offered the chance to trade a less-favorite food for a more-preferred food often declined. When the experiment was rerun with less-preferred and more-preferred toys—items with no particular value for survival. health. or reproduction—the chimps traded happily.

In humans, Jones says, the urge to hold on to something—the “bird in the hand” effect—was strongly linked to an object’s evolutionary importance. He adds that the evolutionary-importance factor alone predicted more than half the variation in people’s attachment to objects.

Seen this way, Jones concludes, minds are not simply malfunctioning. They are running on an operating system shaped by earlier conditions. The promise of seeing natural selection clearly. in his view. is a library of solutions: a sharper way of thinking about risk. a kinder understanding of the mind. and a real chance to work with selection pressures instead of tripping over them.

The piece ends with an invitation to put the logic to use—toward smarter technologies, wiser policies, and a more resilient future.

This article originally appeared in Next Big Idea Club magazine and is reprinted with permission.

Owen Jones Force of Nature natural selection antibiotics superbugs adaptive therapy prostate cancer pesticide resistance Chernobyl fungus evolutionary computation Shinkansen kingfisher beak risk perception natural frequencies endowment effect