Dan Ariely is the James B. Duke Professor of Behavioral Economics at Duke University. He also holds an appointment at the MIT Media Lab where he is the head of the eRationality research group. He was formerly the Alfred P. Sloan Professor of Behavioral Economics at MIT Sloan School of Management.
Dan Ariely grew up in Israel after birth in New York. He served in the Israeli army and when 18 suffered third-degree burns over 70 percent of his body from an accidental magnesium flare explosion during training.
Ariely recovered and went on to graduate from Tel Aviv University and received a Ph.D. and M.A. in cognitive psychology from the University of North Carolina at Chapel Hill, and a Ph.D. in business from Duke University. His research focuses on discovering and measuring how people make decisions. He models the human decision making process and in particular the irrational decisions that we all make every day.
Ariely is the author of the book, Predictably Irrational: The Hidden Forces That Shape Our Decisions, which was published on February 19, 2008 by HarperCollins. When asked whether reading Predictably Irrational and understanding one's irrational behaviors could make a person's life worse (such as by defeating the benefits of a placebo), Ariely responded that there could be a short term cost, but that there would also likely be longterm benefits, and that reading his book would not make a person worse off.
An Interview With Behavioral Economist Dan Ariely
We talk to Dan Ariely about investing, information overload, and more.
Apr 17, 2017 at 2:02PM
Dan Ariely is the author of Predictable Irrationality, a favorite book around Fool HQ, and -- oh yeah -- he's also the James B. Duke Professor of Psychology and Behavioral Economics at Duke University. I was able to interview Dan about investing, information overload, and more.
Want to listen instead? Download the audio version of this interview here.
Rana Pritanjali: Do you think the process of investing is similar to other jobs?
Dan Ariely: I think probably HR. When you're trying to interview people, you try to understand them. You're trying to understand [what their potential is] and trying to understand what they're hiding. So I think it's maybe similar to that.
Rana Pritanjali: Why do losses hurt humans so much? Is this true for just a few of us, or is it broadly true?
Dan Ariely: So it's true for people in general, and this is called "loss aversion." For example, we find that if you have a coin flip that you have a 50% chance of making $1,100 and a 50% chance of losing $1,000. The expected value is positive, but we don't think of it as positive. We think, "Oh, my goodness. If I lost $1,000, I would be very miserable. If I won $1,100 I would be happy, but it wouldn't offset it, so let me not take that bet."
Now, we think that the reason is evolutionary. If you think about nature, if you get something good (like you get to eat more food and so on) that's a good thing, but if you do something bad, you can die. So nature has kind of tuned us to look at the negative side because if you get a bit more food, a bit more money or whatever, there's a positive expected value but it's limited. Whereas on the negative side, you can lose a lot. So because of that we just attune more to losses.
Rana Pritanjali: What do you think are some of the most important traits of successful investors?
Dan Ariely: Maybe not follow your emotions. Human emotions get us to buy high and sell low, so we have to fight those. And being systematic. Looking forward rather than backward. Thinking about what you want to do moving forward and not looking at what's happened to the stock in the past. Not being impulsive is important, and not following the herd.
And then the other one, I would say, is that it's about setting up processes that help us to do things in a more systematic way. So if you basically create a system where you say, "Here are my rules. I'm going to sell when it hits this number. I'm going to buy when it hits this number. I'm going to do X, Y, and Z." If you stick to your rules, you're probably going to do OK. But what happens is that most of us create rules and then we don't stick to them, because we are tempted at the moment, so sticking to our rules is important.
Rana Pritanjali: Do you believe in "information overload?" How is this affecting us as investors?
Dan Ariely: Absolutely. It's very hard for us to deal with lots and lots of information. Of course, today we're getting lots and lots of information, so what do we do when we get too much information? We simplify. We use heuristics. We rely on only part of the information. On the most salient information.
And that, of course, means that the most salient information is probably the information everybody else knows, as well; so we become less independent in our opinions from other investors. If everybody is in information overload, and we all do simplifications, then what happens is that we follow the simplest source of information, which is probably common to everybody.
Rana Pritanjali: What human characteristics will be hardest for robots (or artificial intelligence) to replicate?
Dan Ariely: I think serendipity. Randomness. Creativity. We don't know. Creativity is part of what is called an NP-complete problem. These are problems that require computation exponential times, and we don't know how to even search. We don't know what the right algorithm is. So I think creativity is going to be one challenge. Serendipity is going to be another one. And following the rules is going to be much easier.
Rana Pritanjali: In your opinion, what are some of the most important human characteristics that have led to the species' dominance?
Dan Ariely: Opposable thumbs. Language. Language allows us to create tremendous advantages. The invention of the wheel. The invention of money. Memory. We have really incredible memory for ideas. Abstract thinking. And then maybe the other one is that we are inherently social animals. We care about other people. We have what is called "social utility." We can put ourselves in the position of other people. We have empathy. We care about others, which allows us to create societies that rely on each other and get tremendous benefit from each other.
Rana Pritanjali: Why is it that long-term investing seems so right in theory but so very hard in practice?
Dan Ariely: Actually, everything long-term is hard in practice. We have a hard time not overeating. Saving money. Not texting and driving. Washing our hands. You name it. We're in general not good about anything that requires sacrifice in the short term for the long term.
Rana Pritanjali: Why is it so hard for humans to admit our mistakes?
Dan Ariely: Well, a couple of reasons. First of all, we don't actually see our own mistakes all the time. We have such great cognitive storytelling ability that the moment we tell a story, we think to ourselves that this was actually the truth. We call our research center at Duke "the Center for Advanced Hindsight" because we're such good storytellers that we come up with stories that portray us in good ways, so we don't always even see our own mistakes. And then on top of that, it's about our social standing, and admitting failure also admits that we might be wrong in the future.
Rana Pritanjali: Have you done any experiments on "fear of missing out?" Is this becoming more common, and what is the cause?
Dan Ariely: I have not done any research on that, but I did a little video on that. (Link is here!]
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