Freakonomics Radio - 172. How to Screen Job Applicants, Act Your Age, and Get Your Brain Off Autopilot
Episode Date: June 26, 2014Dubner and Levitt answer reader questions in this first installment of the โThink Like a Freakโ Book Club. ...
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Thanks.
Hey, Devin.
Hey, Levi. How's it going?
It's going good.
So are you feeling recovered from book tour yet?
Yes.
I thought it was interesting. As much as you whined and complained on this podcast about how much you hate the book tour, it actually worked out beautifully, didn't it? Do you want to tell people how beautifully
that worked out? Oh, so everywhere we went, people were very gentle with me. They gave me presents.
Thank you very much for the coffee. And thank you very much for the In-N-Out Burger gift certificate
that I used. Bacon. There were plates of bacon on stage with us when we gave talks. And poor Dubner
took the brunt of it.
Everybody slapped you around
and let me do my thing.
Couldn't have been better.
They're like,
oh, Steve Leavitt,
thank you so much
for coming to San Francisco.
I know you don't like
to leave your room.
That was a great piece
of game theory
because you have no problem
getting out there.
You like to talk to people.
You say you don't. No.
I like to be in my room. Yeah, you say
you do. I only like to be in my room.
Now, what would you say would
be a highlight of the book tour
or a lowlight? Could be either.
Let me think.
The other day a stranger
rolled down his window of his car and yelled to me,
Hey, I love the tipping podcast.
That's bad. That's when we've got to retire.
When strangers are rolling down their window and knowing who we are,
that's when we've got to be careful.
From WNYC, this is Freakonomics Radio, the podcast that explores the hidden side of everything.
Here's your host, Stephen Dubner. Steve Levitt and I just got back from our book tour for Think Like a Freak.
Honestly, it was a blast.
Yes, long days, lots of travel, but come on.
Big auditoriums full of people willing to sit and listen to what you have to say.
Not bad.
The most surprising thing was when we would ask the audience how many of them
regularly listened to this podcast, and about 90% of the hands went up, whether we were in New York,
California, the UK. It was amazing, although it did make me wonder if we didn't make this podcast,
if our book tour would happen in much smaller auditoriums. So thanks for coming out. Thanks for listening. And thanks for sending
in your questions for this first installment of our Think Like a Freak book club. We're starting
today with chapters one through three. Chapter one is what does it mean to think like a freak?
Chapter two is called the three hardest words in the English Language, also known as I Don't Know and how our
reluctance to admit what we don't know keeps us from learning. And chapter three is called What's
Your Problem, in which we encourage readers to redefine the problem they're trying to solve.
And remember, if your question makes it onto the show, we will send you your choice of an
autographed copy of Think Like a Freak or a limited edition
Think Like a Freak t-shirt. So listen up. So Levitt, let's start with Andrea Kate Crary
from Fargo, North Dakota. Andrea writes, you asserted the most important idea in your new
book was the underlying principle that to think like a
freak, you must in fact think. I heartily agree with you on the importance of thinking and wonder
if you have any suggestions on how. It seems to me that my brain defaults to autopilot. Is there a
way to reset my brain's default position? Lev, what do you say to Andrea? I would say to Andrea that I think
autopilot is indeed the right default for the brain because the world's too complicated and
there's too many things to do to try and really think your way around everything. What I would
suggest Andrea try to do is at certain moments when it seems like the marginal benefit of thinking is high, she should see if she can
switch her brain into a thinking mode and then kick in the thinking when it really will be to
your advantage. And so, for instance, part of thinking, I think, is just finding the quiet
time to do it. And so maybe a place to start would be when you see problems or questions that you
think might use thinking, file them away in your brain. And when you have quiet time, when you see problems or questions that you think might use thinking, file them away in your brain.
And when you have quiet time, when you're doing laundry or you're trying to rock a baby to sleep
or something like that, then take those moments to actually go back and try to engage your brain and
just do it a little bit at a time and see if anything good comes out. I mean, good ideas are
hard to come by. I mean, Dubner and I spend a lot of time thinking and we're lucky if we have one or two good ideas a
year. So I think the expectations shouldn't be too high. Yeah. I would also say to Andrea that
it's a great idea to just work hard to spend time with people that aren't a lot like you,
whether it's vocationally or age-wise or politically, religiously, geographically, whatever.
Because it's amazing how simply doing that will change or broaden,
give you an angle on a problem that you wouldn't have considered otherwise.
And that the more we look at the way that people kind of group around groupthink and herd mentality,
one reason it's hard to come up with a good solution to a problem is because you're just hearing this kind of siloed echo chamber of everybody else that you hang out with.
So if you can seek out people who look at things really differently from you, whether you're an artist and you don't hang out with data people or politically left and don't talk to people on the right, et cetera, I think that's a way to get a leg up. Levitt, Michael Carley, who is Associate Director of the Institutional Research
and Reporting something at Kern Community College in Bakersfield, California, writes to say this, I work as an educational researcher. How would we, in hiring employees for our department,
find those with the humility to say when they don't know the answer to a question?
A lot of time is wasted when employees plot along in ignorance rather than admitting limitations.
Levitt, you have some kind of good trick for employers to screen for that ability?
Well, the first thing that comes to mind is in the course of the interview,
what most people do is fake their way.
There's a general sense, and it came up on the book tour three or four times
when people said, well, if I say I don't know, I will never get the job.
And you're sympathetic to that issue, yeah?
I do think that actually it probably is true. If the people who are hiring you are of the mind
that you should never, ever say, I don't know. And they themselves never, ever say, I don't know.
Then saying, I don't know, it's not a great idea before you get the job. Now, once you have the
job, you have a little more time and leeway to try and change people's views and to show people
that when you say, I don't know, and then
you go back to the data and you figure out the answer and you come back a week later or an hour
later or a month later and say, I now know that people will be impressed and will come to respect
you more, but you don't get that second chance. You don't get the week or the month if you're
doing the interview. But clearly, if you want to attract people who will say, I don't know, the interview process is the right way to do it, or even before that in some sort of an online application, to ask the kinds of questions, and they're asked in a psychology study to respond to questions which they simply can't answer given the amount ofโ
Patently unanswerable questions, right?
Exactly.
And so one could imagine asking completely unanswerable questions in an interview and seeing how people respond.
Hey, let me ask you this.
What about combining two ideas that
we've talked about in the past, unanswerable questions and the need to say I don't know,
and kind of this burning desire to make predictions about any and everything? What about that? What
about asking potential employees to make predictions, which you could kill two birds
in one stone. You could see how willing they are to admit they don't know. And you could see how they feel about this relatively impossible task
generally of predicting the future. I think that's a good idea.
What's the question you write? What do you ask them to predict?
I would say what the interviewer is going to have for lunch that day.
Because it's completely stupid and pointless.
Totally unanswerable. And totally unanswerable.
And completely unanswerable.
Although you could say, well, you look like a pretty chubby fellow,
so I'm going to say you're going to have some pasta.
But I think it's the kind of reaction someone would have to that question.
It's so nonsensical that it's a signal to anyone who has common sense
that you can't possibly expect a serious response to it?
Because I think that it will pick up on other things too, which is just common sense and
ability to understand how humanity works. If you ask some question about what do you think
our revenues will be in the year, whatever, then it actually sounds like you could make a prediction.
Well, it's an invitation to fake it too. Whereas this one is right. It's giving you
the option to take the high road. Yeah. Now, the other thing that interviewers always do, and I don't know if this works at all or not, would be to say,
so could you tell me about a time in your career in which you have been faced with a question you didn't know the answer to,
and you simply said, I don't know, and how did it turn out?
I mean, that would be the more traditional way to do it.
Maybe you could do both.
Coming up on Freakonomics Radio, what is the biggest reason that so many companies operate on gut instinct instead of using the data?
I never would have thought this before I started working with companies.
I never would have imagined that it is an IT problem.
And one question that is truly inspiring for both me and Levin.
I do love Glenn's question.
I think this is super smart and really interesting and important.
I think it's great.
One more thing.
If you are not already a subscriber to Freakonomics Radio, you should be.
Just sign up for free at iTunes and you'll get the next episode in your sleep. From WNYC, this is Freakonomics Radio.
Here's your host, Stephen Dubner. Welcome back to this first installment of the Think Like a Freak book club.
Today, we are taking your questions about chapters one through three.
Levitt, Mikhail Marchenko from Lenexa, Kansas, I believe, writes to say,
in your book, you use a metaphor, a football player, meaning soccer player, who is faced with a tough decision that can have a lasting impact on his professional career, the penalty kick.
So, incidentally, Levitt, have you caught World Cup fever?
Are you watching Hours and Hours and Hours?
I did watch that crazy game where Holland beat Spain 5-1.
Okay.
So, Mikael goes on to say, you write that humans are motivated by myriad things, chief among which is pride and reputation.
As you simply yet so elegantly, thank you very much, put it, none of us want to look stupid.
So this is about the difference between acting in your own interest versus acting in the public interest is shorthanded a lot. Now, Mikhail asks, has there ever been a society that strongly believed in the greater good of the community
and which punished those who went against the grain and acted to benefit themselves instead?
So, Levitt, I have to say my first thought was, well, that sounds a little bit like the
former Soviet Union, which by the sound of his name, Mikhail Marchenko, this listener probably
is a little bit familiar with.
I mean, it's interesting to me that he didn't bring it up.
It also brings to mind for me a lot of religious communities, you know, ultra-Orthodox Jews even in 21st century America
and a lot of the Anabaptist communities like the Amish and Bruderhof and Mennonite. But Levitt, I'm really curious to know if you know anything about this societies that kind of, you know,
reward the communal, punish the individual goal-seeking and whether โ yeah, that's all.
Yeah, I think you're right.
I think that was one of the premises of communism and socialism was to put the collective above the individual. But the problem
with those systems is that it's very hard to incentivize individuals when the benefits go
to others. I mean, really, if you think about it, corporations have a little bit of the same
flavor, that in many corporations, the financial incentives of individuals are not that strong.
So the difference in the profit that accrues to the
company can be 50 times, 100 times my own private benefit of the actions I take. And then it's hard
to incentivize people. I mean, maybe the ultimate society that has managed to succeed in putting the
collective above the individual are things like ants and termites, right? Because I mean, that's
exactly what happens in these colonies. It's
because the ants don't have enough brains to do anything different. But, I mean, bees sting and
die because of it, but they're programmed to act on behalf of the community.
Since you brought us to corporations and corporate behavior, let's go to, here's a
related question from someone named Tracy Lum, who writes to say, and by the way, every person,
so the minute you hear your name on
this program, that means that you are going to get some think like a freak swag.
So you should be very happy about that, not just for the pride, but for the avarice part
of the mention.
So Tracy Lum writes to say, you write that one of the reasons that people ignore data
in favor of gut instinct is tradition and resistance to change. In an ever-changing, competitive, mostly capitalist economy,
I'm wondering how and why these types of organizations and individuals survive.
So that's really what you're talking about, Levitt, to some degree,
which is that in companies, corporations,
the boss has different set of incentives perhaps than almost everybody else.
So tell us about that. You've been spending
a lot of time in corporations consulting with them. Do you, A, see a resistance to data generally?
And if so, do you see it higher or lower down the ladder? And do you think that there is a split
between the incentives for the people in the corner office and the people on the ground?
So that's a great question. And I might challenge the premise. The premise of the question is that
these old organizations that are resistant to data will survive or are surviving. But in fact,
they're certainly not thriving. And what I see all the time is the incredible difficulty that companies and really people,
because companies are made up of people, have in adapting to new situations. And it's really
amazing. If you look back at what the 50 biggest companies were in the world 100 years ago,
I mean, very few of them exist. I mean, other people looked at this. I haven't looked at detail, but companies have very short lifespans relative to, say, universities.
The same universities that were the most highly ranked 100 years ago are still almost without
exception. Maybe Stanford has gotten better in the US, but in general, universities all stick
around and companies don't. And I think it's because the university environment doesn't
change very much, but the corporate environment, what consumers want and what producers make, changes a lot.
And it's hard for companies to keep up. greater and the ability to do experiments, that the new wave of companies, companies like Amazon
that do experimentation are just going to devastate the old way of doing things. And
the world is changing is not just because of data and not just because of experimentation,
but there happens to be a correlation between the kinds of companies that are new and innovative and their use of data.
And it's absolutely transforming the landscape.
So that being the case, let me just go back to Tracy's question, which you didn't quite answer, which is why are โ
okay, let's say you're one of these non-transformative, hyper-traditional firms,
and you're presumably not an idiot. And you see that firms that don't adapt will suffer,
and that part of adapting is to let go, not relying necessarily on gut instinct that's
informed by tradition. Why is it so hard for leadership to change? That's really the question that Tracy's asking.
Yeah, I think the hardest thing is even if you have the desire, which you may or may not have,
to be data-driven, that the existing systems, I never would have thought this before I started
working with companies, I never would have imagined that it is an IT problem, that you
simply cannot get the data you want, and that the data are
held in 27 different data sets that have different identifiers.
So you simply, so sometimes when my little consulting firm, TGG, comes into a company,
we'll spend something like three or six person months working with a company of trying to
just put together a data set to do a basic analysis
that I think many listeners would think, wow, I would think that a big fancy company would be
able to do this with the push of a button. But it really is, it's the IT support and the complexity
in these big firms blows your mind about how hard it is to do the littlest simple things.
Levitt, let's end with one more question here that I think is a nice ending. Glenn Hall
writes to say, I read the chapter about Kobayashi, that's Takeru Kobayashi,
and how he smashed the hot dog eating record.
I noted your comment about how he didn't think about the previous world record of 25
or else he may have stopped at 28 or 30 instead of making it to 50.
We don't say he would have stopped at 28 or 30.
He just wouldn't have been able to get so high if he had honored that barrier of 25.
So Glenn continues to write, I've been thinking about this for quite some time in regard to a person's chronological
age. In the United States, the retirement age has remained at 65 in spite of the large increase in
life expectancy. Does this set up an artificial barrier relating to a person's productive life?
I am well into middle age, yet the idea of an end game at 65 has never entered my mind.
How much of the aging process is physiological and how much is psychological due to
culturally induced artificial factors such as the 65-year-old retirement age? I am currently
engaged in an experiment trying to, quote, think myself younger, and it seems to be working. That's what Glenn Hall writes.
So, Levitt, I have to say, I love this question.
I love the idea of artificial barriers and ignoring them.
And I know you're not so keen on that idea yourself, are you?
I'm not as keen as you are, but I do love Glenn's question.
I think this is super smart and really interesting and important. I think it's
great. And it's probably true. I mean, everything he says is true, that we set up these retirement
ages decades ago when people were much less healthy and lived shorter. And I don't know,
I do think that it's easy when you're an adult to just get caught in the trap of feeling old and getting afraid of everything.
So I think a lot of things are under the control of people. You see it all the time.
The thing that his question makes me think is that, yeah, as you mentioned, longevity has increased so much.
I think in the 20th century, life expectancy in the U.S. at birth doubled, which is just an astounding,
I mean, that'll never happen again. I think it's safe to say that'll never happen again.
So to me, one of the really interesting-
Wait, good. Can I interrupt you on that?
Sure. Yeah.
The thing, it's not just longevity. It's the state of your body at the time that you're 65.
I think we've had at least as big of improvements. And when you were 65 in the old days and you had
worked in some kind of horrible factory 12 hours a day, you were completely broken. But now I think
people at 65 are great. And a much smaller share of the population is doing work that's so physically
hard. Exactly. But it's just a combination. I mean, working the farm, when you had to,
I mean, it was incredibly brutal work, as you know, having grown up on a farm.
So it's as much the increase in longevity as the state of the body and the quality of life you can
have at 65. But it's a different question of whether it's just fun to stop working and to
then do a hundred other things that you couldn't do when you work.
That's, that's, I mean, I don't think either of us are saying no, retirement is bad.
I think it's what Glenn's saying, which is true, is that there's no reason that if you
love what you do in your work that you couldn't still do it.
My dad's almost 80 and he's still a practicing doctor because he loves it and he's not sure
what he'd do otherwise.
And I think that's exactly the right attitude
and my dad still runs three to five miles
a day and he acts like he's young
and he is young. He seems young.
I think
Glenn should get both a book
and a signed
t-shirt, whatever we do,
for that kind of insightful
question. We didn't give a great answer.
His question is better than the answer we could give.
Okay, Levitt.
We will send Glenn a t-shirt and a signed copy of Think Like a Freak.
We'll also send something to Tracy, Michael, Michael, and Andrea.
So keep an eye on your mailboxes, people.
And we will keep an eye on ours as well.
Drop us a line at radio at Freakonomics.com with your questions for the Think Like a Freak
book club.
Up next will be chapters four through six. Those are like a bad dye job.
The truth is in the roots. Think like a child and like giving candy to a baby.
The original title was It's the incentives, stupid. So send us some questions and you'll
hear that episode in a few weeks. And next week, you will hear directly from Takeru Kobayashi, the hot dog eating champion.
And you will learn more than you ever thought you wanted to know about the sport of competitive eating.
They said that they took me to outer space and some aliens had given the man two stomachs.
He's taking muscle relaxers.
You were doping. Yeah. Did's taking muscle relaxers. You were doping, yeah.
Did you take muscle relaxers?
No.
Do you have two stomachs?
No.
He thought about it.
Some limits are real
and others are just in our mind.
50 hot dogs in 12 minutes?
No problem.
That's next time on Freakonomics Radio.
Freakonomics Radio is produced by WNYC and Dubner Productions.
Our staff includes David Herman, Greg Rosalski, Greta Cohn,
Beret Lam, Susie Lechtenberg, and Chris Bannon.
If you want more Freakonomics Radio, you can subscribe to our podcast on iTunes or go to
Freakonomics.com, where you'll find lots of radio, a blog, the books, and more. Thank you.