A few years ago, a friend of mine bought a used car he didn’t need. He spent two weeks reading reviews, comparing fuel economy, and checking resale values. Then he drove it off the lot and felt sick the next morning. He told me: “I knew it was a bad idea halfway through the test drive. But I had already spent so much time researching that I couldn’t back out.” That kind of trap happens constantly. We pour effort into a decision and then stick with it just to justify the work we already did. The problem isn’t laziness or stupidity. It’s that we lack a simple way to step back and see the situation from a higher angle.
That’s where mental models come in. A mental model is a shortcut your brain uses to filter information and make choices faster. The best ones are simple enough to recall in two seconds. They keep you from getting lost in details. I started collecting them after reading a few articles on a site called bealer.org, which compiles practical thinking tools for everyday life. That site showed me that the most useful models don’t come from business books or academic papers. They come from watching how people actually behave when they let their guard down.
The regret minimization framework
Jeff Bezos popularized this idea when he decided to start Amazon. He imagined himself at age 80 looking back on his life. Would he regret not trying to build an online bookstore? That question made the choice obvious. The framework works because it bypasses the endless pros-and-cons list. You don’t have to predict the future. You only have to decide which path will cause less future regret.
I used it recently when I was offered a job in a different city. The salary was better, but I would have to leave friends and a routine I liked. I spent three days making spreadsheets. Then I stopped and asked the regret question. At age 80, would I regret not taking the risk? Yes, I would. So I took the job. It turned out fine. Not perfect, but fine. And I never once wished I had stayed.
- Picture yourself at 80 years old, looking back on this decision.
- Ask: “Which option would I regret not trying?”
- Ignore the probability of success. Focus on the regret of inaction.
The same model works for small choices too. Should you go to that party? Talk to that stranger? Start that side project? The regret of missing out often outweighs the regret of failing.
Why simple models beat complex analysis
A colleague of mine once spent six months evaluating three software vendors for his team. He built a weighted scoring system with thirty criteria. After all that work, he picked the vendor that had the highest total score. The software crashed twice a week. When I asked him why he didn’t switch sooner, he said: “I had already invested so much time in the evaluation.” He had fallen for the sunk cost fallacy. A simple model would have saved him months. He could have asked: “If I had never met these vendors, which one would I choose now?” That one question wipes out past investment from the equation.
Overthinking is a luxury that most small decisions don’t deserve. The trick is to have a few reliable models ready in your head so you can switch to them the moment you feel stuck. Here are three that I use regularly:
- The inversion principle: Instead of asking how to succeed, ask what would guarantee failure. Then avoid those things.
- The 10-10-10 rule: How will I feel about this in 10 minutes? 10 months? 10 years?
- Occam’s razor: The simplest explanation is usually correct. The simplest action is usually the best.
None of these models are new. They are all old ideas that have been repackaged. But they work because they force you to think in a different direction. You don’t need a library of them. You need two or three you actually remember. The next time you are stuck choosing between two options, pull out one of these models. Watch how fast the fog clears.