Crystal_ball Prediction: We'll Continue to Make Mistakes About Predictions

This is the time of year for predictions. Here are mine.

  • I predict that hindsight will reveal that many predictions turned out to be right, but we ignored them.
  • I predict that we will continue to get better at making predictions, but hindsight will reveal that many of them were wrong, and we believed them. (Harold Camping where art thou?)
  • I predict that won’t matter, and we’ll keep making predictions, right and wrong, and, sometimes at great cost, screwing up what we do with the results.

The urge to predict is understandable. We forecast the future, and continue to do so even after repeated mistakes, because of the deep psychological need for a sense of control, to keep ourselves safe. But it’s less obvious where the mistakes come from. Not the mistakes in the predictions themselves (some of which turn out to be right), but in how we use them. We make errors in what we do with predictions, and I predict we always will, because we give our powers of reason way too much credit. We think we’re smarter than we are.

     Ever since the earliest human brain developed the ability to consciously realize there is a future, we’ve wanted to know what comes next. At first we looked up to the stars, or down at the tea leaves in the bottom of the cup, or in at the shape of the organs of sacrificed animals, and we venerated the Prophets and Oracles who supposedly had the magic power to know what was coming next, all to keep ourselves safe. After all, not knowing what lay ahead was risky, dangerous. In fact, the English word risk derives from a Greek word found first in Homer’s The Odyssey, which loosely means the unknown chance that, sailing into uncharted waters, your ship will hit some hidden rock, and sink.

Then along came Blaise Pascal and Pierre de Fermat and “The Problem of the Points” (explained in the footnote below) and the beginnings of mathematics as a tool for calculating the chances of things. The probabilities of risk became, at least in part, knowable. The insurance industry was born, and ever since, we’ve been getting smarter and smarter about how to use an ever-expanding range of knowledge to peer into the future. The collective mood of Twitterers, the rate at which DNA mutates, massive databases of information on the patterns of the past…these are today’s version of Mayan calendars and crystal balls and figuring out the future based on the features of animal feces. (‘Hey, Joe, check out the lines in this cow pattie! It’s gonna rain next week!”)

We have made incredible progress in developing much smarter tools for divining what’s to come. But what matters is not just how good those tools are. In the end it’s how smart we are, or aren’t, at putting the product of those tools to use. It’s a matter of how the most important tool of all, our brain, interprets what those lesser tools tell us. And that part of the process…not just figuring out the facts but interpreting how those facts feel…is why predictions remain such an iffy business.

As much as we’ve learned about how to make more accurate predictions, we’ve learned at least that much about the psychology of how our mind works, and that body of knowledge tells us quite clearly that as smart as we like to think we are, the brain is only the organ with which we think we think. It turns out that our instincts and feelings and subconscious mental processes for interpreting information turn the cold hard facts into subjective judgments and behaviors that often fly in the face of the evidence, and even fly in the face of what would do us the most good. Mountains of research from psychology and neuroscience and sociology and economics, constantly confirmed by evidence from the real world, makes indisputably clear that, as Scottish philosopher David Hume observed “Reason is, and ought only to be the slave of the passions, and can never pretend to any other office than to serve and obey them.”

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About Risk: Reason and Reality

66 Posts since 2011

Fear is good. It helps protect us. But getting risk wrong — worrying more than the evidence says we need to, or not as much as the evidence says we should — produces stress and leads to unhealthy choices for ourselves and for society. We do have to fear fear itself: too much, or too little. Understanding why the gap exists between our fears and the facts is the first step toward managing the potential risk of risk misperception, and making healthy choices for ourselves, our families, and our communities. David Ropeik is an instructor at Harvard, a consultant in risk perception, risk communication, and risk management, author of How Risky Is It, Really? Why Our Fears Don’t Always Match the Factsprincipal co-author of RISK: A Practical Guide for Deciding What’s Really Safe and What’s Really Dangerous in the World Around You, and was a broadcast journalist in Boston for 22 years.

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