Solving One Problem, Creating Another

Imagine a remote island in the 1800s. European ships arrived with settlers and supplies, but unbeknownst to the crew, rats were traveling as stowaways, surviving on grain and cargo. The rats left the ship and multiplied. They consumed crops, spread disease, and preyed on the eggs of native birds, threatening both wildlife and human survival.

So, European settlers in places like Hawaii, New Zealand, and other Pacific islands deliberately introduced cats. The logic was obvious: we have rats, cats eat rats, problem solved.

Initially, the rat populations declined. But the cats quickly discovered that native ground birds and lizards were far easier to catch than rats. Bird and lizard populations crashed. The island now had an unsolved rat problem, a devastated bird population, and a growing feral cat problem. Authorities then considered further interventions — trapping campaigns, poisons, or introducing additional predators.

Each intervention seemed logical at the time, but the ecosystem responded in ways nobody had predicted. This is what ecologists call a domino effect — pull one thread, and the whole fabric shifts.

Medicine works the same way.

We introduce a solution to fix one problem, only to discover that the system adapts and creates a new challenge. Take, for instance, antibiotics. We developed antibiotics to fight bacterial infections and saved millions of lives. But antibiotics began to be used too broadly, and sometimes unnecessarily. Resistant bacteria evolved. We responded with stronger, broader-spectrum antibiotics. This, in turn, produced even more resistant bacteria — so-called superbugs — that are now alarmingly difficult to treat. Each step was rational. The cumulative effect was not what anyone intended.

The same pattern emerged when we tried to reduce medical errors in the US, which kill between 100,000 and 200,000 people a year. We introduced electronic medical records to improve safety and care coordination. A sensible solution. Then, for medical and legal reasons, documentation requirements expanded enormously. Physicians began spending more time entering data than talking to patients. Burnout increased. Hospitals and health systems responded by hiring scribes and developing AI documentation tools, adding new costs, new workflows, and new privacy concerns.

Nobody was wrong at any stage. Every decision seemed reasonable. Every intervention addressed a real problem. And yet the cascade continued.

The lesson is that complex problems rarely have simple solutions. They require people from different backgrounds to think together about how the whole system works, not just one piece of it. Before we introduce the next fix, we should ask not only, "Will this solve the problem?" but also, "What else might it change?" Because in complex systems — from islands to hospitals — every intervention has consequences we may not see until much later.

— Dr. Michael Wilkes with a Second Opinion

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