Baba Shiv – TRANSCRIPT
I’m going to start on a slightly somber note. Two thousand and seven (2007), five years ago, my wife gets diagnosed with breast cancer. Stage IIB. Now, looking back, the most harrowing part of that experience was not just the hospital visits – these were very painful for my wife, understandably so. It was not even the initial shock of knowing that she had breast cancer at just 39 years old, absolutely no history of cancer in her family.
The most horrifying and agonizing part of the whole experience was we were making decisions after decisions after decisions that were being thrust upon us. Should it be a mastectomy? Should it be a lumpectomy? Should it be a more aggressive form of treatment, given that it was stage IIB? With all the side effects? Or should it be a less aggressive form of treatment? And these were being thrust upon us by the doctors.
Now you could ask this question, why were the doctors doing this? A simplistic answer would be, the doctors are doing this because they want to protect themselves legally. I think that is too simplistic. These are well-meaning doctors, some of them have gone on to become very good friends. They probably were simply following the wisdom that has come down through the ages, this adage that when you’re making decisions, especially decisions of importance, it’s best to be in charge, it’s best to be in control, it’s best to be in the driver’s seat.
And we were certainly in the driver’s seat, making all these decisions. And let me tell you — if some of you have been there, it was a most agonizing and harrowing experience. Which got me thinking. I said, is there any validity to this whole adage that when you’re making decisions, it’s best to take the driver’s seat, be in charge, be in control? Or are there contexts where we’re far better off taking the passenger’s seat and have someone else drive? For example, a trusted financial advisor, could be a trusted doctor, etc. And since I study human decision making, I said, I’m going to run some studies to find some answers.
And I’m going to share one of these studies with you today. So, imagine that all of you are participants in the study. I want to tell you that what you’re going to do in the study is, you’re going to drink a cup of tea. If you’re wondering why, I’ll tell you why in a few seconds from now. You are going to solve a series of puzzles, and I’m going to show you examples of these puzzles momentarily. And the more puzzles you solve, the greater the chances that you’ll win some prizes.
Now, why do you have to consume the tea? Why? Because it makes a lot of sense: In order to solve these puzzles effectively, if you think about it, your mind needs to be in two states simultaneously, right? It needs to be alert, for which caffeine is very good. Simultaneously, it needs to be calm — not agitated, calm — for which chamomile is very good.
Now comes the between-subjects design, the AB design, the AB testing. So what I’m going to do is randomly assign you to one of two groups. So imagine that there is an imaginary line out here, so everyone here will be group A, everyone out here will be group B.
Now, for you folks, what I’m going to do is I’m going to show you these two teas, and I’ll go ahead and ask you to choose your tea. So you can choose whichever tea you want. You can decide, what is your mental state: OK, I choose the caffeinated tea, I choose the chamomile tea. So you’re going to be in charge, you’re going to be in control, you’re going to be in the driver’s seat.
You folks, I’m going to show you these two teas, but you don’t have a choice. I’m going to give you one of these two teas, and keep in mind, I’m going to pick one of these two teas at random for you. And you know that. So if you think about it, this is an extreme-case scenario, because in the real world, whenever you are taking passenger’s seat, very often the driver is going to be someone you trust, an expert, etc. So this is an extreme-case scenario.
Now, you’re all going to consume the tea. So imagine that you’re taking the tea now, we’ll wait for you to finish the tea. We’ll give another five minutes for the ingredient to have its effects.
Now you’re going to have 30 minutes to solve 15 puzzles. Here’s an example of the puzzle you’re going to solve. Anyone in the audience want to take a stab?
Audience member: Pulpit!
Whoa! OK. That’s cool. Yeah, so what we’d do if we had you who gave the answer as a participant, we would have calibrated the difficulty level of the puzzles to your expertise. Because we want these puzzles to be difficult. These are tricky puzzles, because your first instinct is to say “tulip.” And then you have to unstick yourself. Right? So these have been calibrated to your level of expertise, because we want this to be difficult, and I’ll tell you why, momentarily.
Now, here’s another example. Anyone? This is much more difficult.
Audience member: Embark.
Yeah. Wow! OK. So, yeah, so this is, again, difficult. You’ll say “kamber,” then you’ll go, “maker,” and all that, and then you can unstick yourself. So you have 30 minutes now to solve these 15 puzzles. Now, the question we’re asking here is, in terms of the outcome — and it comes in the number of puzzles solved — will you in the driver’s seat end up solving more puzzles because you are in control, you could decide which tea you would choose, or would you be better off, in terms of the number of puzzles solved? And, systemically, what we will show, across a series of studies, is that you, the passengers, even though the tea was picked for you at random, will end up solving more puzzles than you, the drivers.
We also observe another thing, and that is, you folks not only are solving fewer puzzles, you’re also putting less juice into the task — less effort, you’re less persistent, and so on. How do we know that? Well, we have two objective measures. One is, what is the time, on average, you’re taking in attempting to solve these puzzles? You will spend less time compared to you. Second, you have 30 minutes to solve these; are you taking the entire 30 minutes or are you giving up before the 30 minutes elapse? You will be more likely to give up before the 30 minutes elapse, compared to you. So you’re putting in less juice, and therefore, the outcome: fewer puzzles solved.
That brings us now to: why does this happen? And under what situations — when — would we see this pattern of results where the passenger is going to show better, more favorable outcomes, compared to the driver? It all has to do with when you face what I call the INCA. It’s an acronym that stands for the nature of the feedback you’re getting after you made the decision. So if you think about it, in this particular puzzle task — it could happen in investing in the stock market, very volatile out there, it could be the medical situation — the feedback here is immediate. You know the feedback, whether you’re solving the puzzles or not.
Right? Second, it is negative. Remember, the deck was stacked against you, in terms of the difficulty level of these puzzles. And this can happen in the medical domain. For example, very early on in the treatment, things are negative, the feedback, before things become positive. Right? It can happen in the stock market. Volatile stock market, getting negative feedback, it is also immediate. And the feedback in all these cases is concrete, it’s unambiguous; you know if you’ve solved the puzzles or not.