DAN ARIELY

Updates

New book: Happy Money.

May 23, 2013 BY danariely

You know the pain of making a bad money decision, from small to large—remember that Living Social deal you never used, or the big house you thought you needed that turned out to be a money pit? Sure you do! But most of us don’t know how to spend money in a way that actually makes us happy, aside from the rush of novelty that quickly dissipates as the hedonic treadmill continues on. Well, allow me to present a new book from my friends Mike Norton and Liz Dunn, which will help you do exactly that. This is not your typical CPA make-and-save-money advice—this lays out well-researched advice for how to spend money in a way that improves your life as a whole.  Who couldn’t use that?

 

In the mean time, here’s an Arming the Donkeys interview I had with Mike on this very topic.

 

Enjoy, and Happy Reading!

New ATD: We’re Only Fooling Ourselves

December 12, 2012 BY danariely

Arming the Donkeys this week features Mike Norton of Harvard Business School. Mike and I discuss research on self-deception, and explore some of the ways in which we justify morally questionable behavior to ourselves — as well as some of the the psychological costs and benefits of this self-deception.

Here’s the link: https://itunes.apple.com/us/podcast/were-only-fooling-ourselves/id420535283?i=126244443&mt=2

New ATD: Cultures of Corruption

December 4, 2012 BY danariely
Arming the Donkeys this week features Ray Fisman of the Columbia Business School. Ray and I discuss his research on political corruption and parking fines, and wonder how likely U.N. representatives are to use their diplomatic immunity to avoid paying these fines themselves.

New ATD: License to Cheat

November 26, 2012 BY danariely

Arming the Donkeys this week features Nina Mazar, assistant professor of marketing at the University of Toronto. Nina and I speak about her research on psychological licensing, or how we may be more likely to cheat after doing something good.

Here’s the link: https://itunes.apple.com/us/itunes-u/license-to-cheat/id420535283?i=125252000

New ATD: Gluttons for Self-Punishment

November 19, 2012 BY danariely

Arming the Donkeys this week features Yoel Inbar, assistant professor of social psychology at Tilburg University. Yoel and I speak about how we sometimes punish ourselves when we feel guilty about things we’ve done, and how this behavior may not be the healthiest solution to our problems.

Here’s the link: https://itunes.apple.com/us/itunes-u/gluttons-for-self-punishment/id420535283?i=124887958

New ATD: Why Willpower Doesn’t Work

November 12, 2012 BY danariely

This week, the Arming the Donkeys podcast features Roy Baumeister, professor of psychology at Florida State University. Roy and I speak about ego depletion, and how the longer we resist temptation, the more likely we are to give in later.

Here’s the link: https://itunes.apple.com/us/itunes-u/why-willpower-doesnt-work/id420535283?i=123767041

New ATD: Teddy Bears and Truthfulness

November 6, 2012 BY danariely

Arming the Donkeys this week features Sreedhari Desai, assistant professor of organizational behavior at the Kenan-Flagler Business School at UNC-Chapel Hill. Dan and Sreedhari discuss her research utilizing childhood memories and toys to curb dishonesty in adults.

Here’s the link: https://itunes.apple.com/us/itunes-u/teddy-bears-and-truthfulness/id420535283?i=123580705

A new “Arming the Donkeys”

September 16, 2012 BY danariely
A new “Arming the Donkeys” podcast is now posted on Duke’s iTunes U site. Here’s the link:
 

http://itunes.apple.com/us/itunes-u/the-bribery-index/id420535283?i=120740505

 
And here’s a blurb for the program:
 
The Bribery Index 
 
In this week’s program, Dan talks with Nina Mazar of the University of Toronto about the “Bribery Index.” The index identifies which companies are most likely to attempt to bribe potential customers to achieve their business goals. Researchers also found a significant correlation between those companies most likely to bribe and the countries where their business is based.