#566: John List — A Master Economist on Strategic Quitting, How to Practice Theory of Mind, Learnings from Uber, Optimizations to Boost Donations, the Primitives of Decision-Making, and How Field Experiments Reveal Hidden Realities
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John List — A Master Economist on Strategic Quitting, How
to Practice Theory of Mind, Learnings from Uber, Optimizations to
Boost Donations, the Primitives of Decision-Making, and How Field
Experiments Reveal Hidden Realities | Brought to you
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John A. List (@Econ_4_Everyone) is the
Kenneth C. Griffin Distinguished Service Professor in Economics
at the University of Chicago.
His research has led to collaborative work with several different
firms, including Lyft, Uber, United Airlines, Virgin Airlines,
Humana, Sears, Kmart, Facebook, Google, General Motors, Tinder,
Citadel, Walmart, and several nonprofits. For decades, his field
experimental research has focused on issues related to the inner
workings of markets; the effects of various incentives schemes on
market equilibria and allocations; how behavioral economics can
augment the standard economic model; early childhood education
and interventions; and, most recently, on the gender earnings gap
in the gig economy (using evidence from rideshare drivers).
His research includes more than 200 peer-reviewed journal
articles and several published books, including the best seller
he coauthored with Uri Gneezy, The Why Axis: Hidden Motives
and the Undiscovered Economics of Everyday Life, and his new
book, The Voltage Effect: How to Make Good Ideas
Great and Great Ideas Scale.
List was elected a member of the American Academy of Arts and
Sciences in 2011 and a fellow of the Econometric Society in 2015.
He received the 2010 Kenneth Galbraith Award, the 2008 Arrow
Prize for Senior Economists for his research in behavioral
economics in the field, and was the 2012 Yrjö Jahnsson Lecture
Prize recipient. He is a current editor of the Journal of
Political Economy.
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*
What is a clawback incentive, and how has John found it useful as
a father of eight children? What other incentives have proven to
be effective social tools in the real world? [07:44]
The side effects of modifying or removing incentives, how
incentive durability is measured, and why getting human beings to
take on short-term inconveniences for long-term but far-off
rewards can be troublesome. [15:23]
John details his extensive work researching the science of
charitable giving and tipping (particularly with ridesharing) and
what he’s discovered over time. [22:33]
Why the ability to publish his work in academic journals was the
deciding factor in John’s acceptance of a job at Uber over
Amazon, and what research had to say about the efficacy of
tipping ranges in user interfaces. [35:07]
What data says about customer service and the power of apologies,
and the consequences of allowing such data to be published in
academic journals instead of hidden away in some proprietary
lockbox. [44:04]
What John learned about human nature by measuring social
preferences and reputation effects in actual transactions as an
economist — and during his time as a baseball card dealer.
[51:52]
John’s thoughts on critical thinking hierarchy, theory of mind,
and what the bar scene in A Beautiful Mind got wrong about the
Nash equilibrium. [57:54]
How does someone develop theory of mind as an applicable skill?
[1:03:09]
How John came to win a poker tournament in Australia while
killing time before a conference. [1:07:34]
What prompted John to write The Voltage Effect: How to Make Good
Ideas Great and Great Ideas Scale? [1:10:26]
John addresses the replication and credibility crises in science,
and their real-world consequences. [1:15:38]
“Scaling is not a silver bullet problem. Rather, it is an Anna
Karenina problem.” How to check the vital signs that determine if
an idea is scalable, with Jonas Salk’s success in conquering
polio by way of vaccination serving as an example. [1:19:36]
Untended side effects of failing to understand spillovers while
scaling — like when the introduction of tipping to the
ridesharing dynamic presents drivers with a new set of problems,
or when drivers exploit technical loopholes to ditch
responsibility for rudely cancelling a customer’s pickup from
afar. [1:28:09]
Why did John have such a slow start entering the job market after
getting his PhD? What was holding him back? [1:36:34]
Is there any application for fractal mathematics to economics?
[1:41:26]
Scalable incentives, marginal thinking, optimal quitting, and
building culture. [1:45:46]
Why is StubHub one of John’s favorite apps? [2:07:46]
Thoughts on blockchain as a rich source of data for behavioral
economists. [2:09:10]
How should a modern, uninitiated audience approach Adam Smith’s
The Wealth of Nations? [2:12:05]
Parting thoughts. [2:16:30]
*
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