Chad Kendall makes a deceptively simple observation: you probably think you know yourself. So when you plan, you naturally assume your future self will follow through on what you intend today. New research from the University of Miami and University of California, Davis suggests that confidence is often misplaced—and that the gap between what we predict we'll do and what we actually do shapes our choices in ways we don't fully understand.
The research, titled "Noisy Foresight" and published in the Journal of the European Economic Association, examined a question that sounds almost absurdly easy: Can you predict your own future actions well enough to make better decisions right now? The answer, it turns out, is mostly no—even when the only person you have to predict is yourself.
Kendall and his collaborator Anujit Chakraborty designed a deceptively simple experiment. Participants started with one dollar and chose how much to leave invested in an uncertain project. They would then learn how the investment performed and decide whether to withdraw. The crucial detail: they had a safety valve. If things went badly, they could pull their money out. Logically, knowing they could escape a bad outcome later, they should have felt comfortable investing more from the start.
Many didn't. About 60 percent of participants changed their investment based on a number that should have had no effect whatsoever on their decision. They were reacting to a poor outcome they would never actually accept, behaving as though they'd be stuck with it even though they'd already proven to themselves—repeatedly—that they wouldn't be.
What made this finding especially striking was the pattern that emerged across 20 or more rounds. Participants almost always made the correct choice in the second step, when the moment to withdraw actually arrived. They saw themselves avoid bad outcomes over and over. Yet they never connected those observations back to their initial decisions. "There's very little learning," Kendall reflected. "They've seen themselves make the rational decision in the second period over and over again, but they don't ever fold it back and think, well, I should learn that I'm never getting this bad thing."
The research breaks new ground precisely because it removes complexity. Earlier studies showed people struggle to predict what other players will do in multi-person games. This experiment eliminated that entirely—no other players, no competing interests, just you predicting you. "You would think if you could ever figure this out, it would be when it's you," Kendall said. The persistence of the failure anyway points to something more fundamental about how human minds work. People think forward through time but rarely backward. They don't spontaneously think: what I do tomorrow should affect what I should do today. In the starkest interpretation, participants were treating their future selves as essentially a different person.
When researchers tested competing models against the data, the best fit was what they call the "noisy self" model—people who don't ignore the future but act as if their future self might occasionally make mistakes, even though it almost never does. Combined with cognitive discounting, a tendency to mentally devalue future outcomes, these two factors explained roughly 90 percent of participants' behavior.
The practical takeaway Kendall offers is straightforward, if challenging: think ahead about your future before you decide what to do today. Plan future choices first, then work backward. "That's an easy prescription," he acknowledges. "It's not so easy to do in practice."