ABOUT THE SPEAKER
Baba Shiv - Neuroeconomist
Baba Shiv studies how “liking” and “wanting” shape the choices we make, and what that means in the world of marketing.

Why you should listen

Does a bottle of wine’s price tag price affect the pleasure one experiences in buying and drinking it? Does getting immediate feedback on a choice lead a person to doubt their decision? Does being denied something make people pursue it more hotly while simultaneously liking it less? Over his academic career, Baba Shiv has researched these questions in neuroeconomics, winning awards like the William O’Dell prize for an article that made a significant, long-term contribution to marketing theory and practice. Two of Professor Shiv's publications have received the Citation of Excellence from Emerald Management Reviews, and his research has been been featured on "The Tonight Show with Jay Leno" and on NPR's "Radiolab," as well as in the Financial Times, The New York Times, and The Wall Street Journal.

A professor at Stanford's Graduate School of Busines , Shiv is the director of the Strategic Marketing Management Executive Program and teaches several popular MBA courses including “The Frinky Science of the Mind” and “Entrepreneurial Ventures in Luxury Markets.” He served as the editor of the Journal of Consumer Research and is also on the editorial boards of the Journal of Consumer Psychology, Journal of Retailing, Journal of Marketing and the Journal of Marketing Research.

More profile about the speaker
Baba Shiv | Speaker | TED.com
TEDxStanford

Baba Shiv: Sometimes it's good to give up the driver's seat

Filmed:
901,458 views

Over the years, research has shown a counterintuitive fact about human nature: Sometimes, having too much choice makes us less happy. This may even be true when it comes to medical treatment. Baba Shiv shares a fascinating study that measures why choice opens the door to doubt, and suggests that ceding control -- especially on life-or-death decisions -- may be the best thing for us.
- Neuroeconomist
Baba Shiv studies how “liking” and “wanting” shape the choices we make, and what that means in the world of marketing. Full bio

Double-click the English transcript below to play the video.

00:16
I want to start on a slightly somber note.
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Two thousand and seven, five years ago,
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my wife gets diagnosed with breast cancer,
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stage IIB.
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Now, looking back, the most harrowing
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part of that experience
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was not just the hospital visits --
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these were very painful for my wife, understandably so.
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It was not even the initial shock of knowing
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that she had breast cancer, just 39 years old,
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absolutely no history of cancer in her family.
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The most horrifying and agonizing part
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of the whole experience was we were making
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decisions after decisions after decisions
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that were being thrust upon us.
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Should it be a mastectomy? Should it be a lumpectomy?
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Should it be a more aggressive form of treatment,
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given that it was stage IIB?
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With all the side effects?
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Or should it be a less aggressive form of treatment?
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And these were being pressed upon us
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by the doctors.
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Now, you could ask this question,
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why were the doctors doing this?
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Now, a simplistic answer would be,
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the doctors are doing this because they want to protect themselves legally.
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I think that is too simplistic.
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These are well-meaning doctors,
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some of them have gone on to become very good friends.
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They probably were simply following the wisdom
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that has come down the ages, this adage that when you're making decisions,
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especially decisions of importance,
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it's best to be in charge, it's best to be in control,
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it's best to be in the driver's seat.
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And we were certainly in the driver's seat,
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making all these decisions, and let me tell you,
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if some of you had been there,
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it was a most agonizing and harrowing experience.
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Which got me thinking.
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I said, is there any validity to
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this whole adage that when you're making decisions,
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it's best to take the driver's seat,
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be in charge, be in control?
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Or are there contexts where we're far better off
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taking the passenger's seat and have someone else drive?
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For example, a trusted financial advisor,
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could be a trusted doctor, etc.
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And since I study human decision making,
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I said, I'm going to run some studies
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to find some answers.
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And I'm going to share one of these studies with you today.
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So, imagine that all of you are participants in the study.
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I want to tell you that what you're going to do in the study is
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you're going to drink a cup of tea.
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If you're wondering why, I'll tell you why in a few seconds from now.
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You are going to solve a series of puzzles,
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and I'm going to show you examples of these puzzles momentarily.
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And the more puzzles you solve,
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the greater the chances that you'll win some prizes.
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Now, why do you have to consume the tea?
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Why? Because it makes a lot of sense.
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In order to solve these puzzles effectively,
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if you think about it, your mind needs to be in two states simultaneously.
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Right? It needs to be alert,
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for which caffeine is very good.
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Simultaneously, it needs to be calm.
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Not agitated, calm. For which chamomile is very good.
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Now comes the between-subjects design,
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the AB design, the AB testing.
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So what I'm going to do is randomly assign you
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to one of two groups.
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So imagine that there is an imaginary line out here,
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so everyone here will be group A,
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everyone out here will be group B.
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Now, for you folks, what I'm going to do is
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I'm going to show you these two teas,
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and I'm asking you, I'll go ahead and ask you,
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to choose your tea. So you can choose which of the two tea you want.
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You can decide, what is your mental state:
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Okay, I'm going to choose the caffeinated tea,
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I'm going to choose the chamomile tea.
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So you're going to be in charge,
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you're going to be in control, you're going to be in the driver's seat.
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You folks, I'm going to show you these two teas,
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but you don't have a choice.
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I'm going to give you one of these two teas,
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and keep in mind, I'm going to pick one of these
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two teas at random for you.
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And you know that.
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So if you think about it, this is an extreme case scenario,
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because in the real world,
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whenever you are taking passenger's seat,
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very often the driver is going to be someone you trust,
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an expert, etc. So this is an extreme case scenario.
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Now, you're all going to consume the tea.
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So imagine that you are taking the tea now,
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we'll wait for you to finish the tea.
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We'll give another five minutes for the ingredient to have its effects.
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Now you're going to have 30 minutes to solve 15 puzzles.
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Here's an example of the puzzle you're going to solve.
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Anyone in the audience want to take a stab?
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(Audience: Pulpit.) Baba Shiv: Whoa!
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Okay, that's cool.
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Yeah, so what we do if we had you, who will get the answer,
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as a participant, we would have calibrated the difficulty level
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of the puzzles to your expertise.
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Because we want these puzzles to be difficult.
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These are tricky puzzles because your first instinct
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is to say "tulip," and then you have to unstick yourself.
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Right? So these have been calibrated to your level of expertise.
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Because we want this to be difficult, and I'll tell you why momentarily.
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Now, here's another example.
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Anyone? It's much more difficult.
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(Audience: Embark.) BS: Yeah, wow. Okay.
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So, yeah, so this is again difficult.
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You will say "kambar," then you will have to go, "maker,"
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and all that, and then you can unstick yourself.
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Okay, so you have 30 minutes now to solve these 15 puzzles.
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Now, the question we're asking here
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is in terms of the outcome,
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in terms of the number of puzzles solved,
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will you in the driver's seat
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end up solving more puzzles,
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because you are in control, you could decide which tea you will choose,
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or would you be better off,
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in terms of the number of puzzles solved?
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And systemically what we will show,
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across a series of studies,
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is that you, the passengers,
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even though the tea was picked for you at random,
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will end up solving more puzzles than you, the drivers.
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We also observe another thing,
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and that is, you folks not only are solving fewer puzzles,
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you're also putting less juice into the task.
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Less effort, you're less persistent, and so on.
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How do you know that?
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Well we have two objective measures.
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One is, what is the time, on average, you're taking
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in attempting to solve these puzzles?
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You will spend less time compared to you.
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Second, you have 30 minutes to solve these,
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are you taking the entire 30 minutes, or are you giving up
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before the 30 minutes elapse?
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You will be more likely to give up before the 30 minutes elapse compared to you.
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So, you're putting in less juice, and therefore the outcome:
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fewer puzzles solved.
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Now, that brings us now to, why does this happen?
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And under what situations, when would we see this pattern of results
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where the passenger is going to show better, more favorable outcomes
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compared to the driver?
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It all has to do with when you face what I call the INCA.
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It's an acronym that stands for
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the nature of the feedback you're getting after you've made the decision.
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So, if you think about it, in this particular puzzle task,
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it could happen in investing in the stock market,
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very volatile out there, it could be the medical situation --
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the feedback here is immediate.
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You know the feedback, whether you're solving the puzzles or not.
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Right? Second, it is negative.
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Remember, the deck was stacked against you.
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In terms of the difficulty level of these puzzles.
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And this can happen in the medical domain.
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For example, very early on in the treatment,
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things are negative, the feedback, before things become positive.
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Right? It can happen in the stock market.
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Volatile stock market, getting negative feedback that's also immediate.
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And the feedback in all these cases is concrete.
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It's not ambiguous; you know if you've solved the puzzles or not.
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Now, the added one, apart from this immediacy,
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negative, this concreteness,
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now you have a sense of agency.
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You were responsible for your decision.
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So what do you do?
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You focus on the foregone option.
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You say, you know what? I should have chosen the other tea.
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(Laughter)
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That casts your decision in doubt,
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reduces the confidence you have in the decision,
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reduces the confidence you have in the performance,
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the performance in terms of solving the puzzles.
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And therefore less juice into the task,
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fewer puzzles solved, a less favorable outcome compared to you folks.
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And this can happen in the medical domain, if you think about it.
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Right? A patient in the driver's seat, for example.
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Less juice, which means keeping herself or himself
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less physically fit, physically active to hasten the recovery process,
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which is what is often advocated. You probably wouldn't do that.
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And therefore, there are times when you're facing the INCA,
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when the feedback is going to be immediate, negative,
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concrete, and you have the sense of agency,
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where you're far better off taking the passenger's seat
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and have someone else drive.
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Now, I started off
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on the somber note.
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I want to finish up on a more upbeat note.
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It has now been five years, slightly more than five years,
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and the good news, thank God,
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is that the cancer is still in remission.
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So it all ends well,
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but one thing I didn't mention was
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that very early on into her treatment,
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my wife and I decided that we will take the passenger's seat.
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And that made so much of a difference
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in terms of the peace of mind that came with that,
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we could focus on her recovery.
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We let the doctors make all the decisions,
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take the driver's seat.
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Thank you.
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(Applause)
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Translated by Morton Bast
Reviewed by Thu-Huong Ha

▲Back to top

ABOUT THE SPEAKER
Baba Shiv - Neuroeconomist
Baba Shiv studies how “liking” and “wanting” shape the choices we make, and what that means in the world of marketing.

Why you should listen

Does a bottle of wine’s price tag price affect the pleasure one experiences in buying and drinking it? Does getting immediate feedback on a choice lead a person to doubt their decision? Does being denied something make people pursue it more hotly while simultaneously liking it less? Over his academic career, Baba Shiv has researched these questions in neuroeconomics, winning awards like the William O’Dell prize for an article that made a significant, long-term contribution to marketing theory and practice. Two of Professor Shiv's publications have received the Citation of Excellence from Emerald Management Reviews, and his research has been been featured on "The Tonight Show with Jay Leno" and on NPR's "Radiolab," as well as in the Financial Times, The New York Times, and The Wall Street Journal.

A professor at Stanford's Graduate School of Busines , Shiv is the director of the Strategic Marketing Management Executive Program and teaches several popular MBA courses including “The Frinky Science of the Mind” and “Entrepreneurial Ventures in Luxury Markets.” He served as the editor of the Journal of Consumer Research and is also on the editorial boards of the Journal of Consumer Psychology, Journal of Retailing, Journal of Marketing and the Journal of Marketing Research.

More profile about the speaker
Baba Shiv | Speaker | TED.com