4.6 • 1.9K Ratings
🗓️ 18 September 2021
⏱️ 41 minutes
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0:00.0 | My guest today, Lighty Clots, is an engineering professor at the University of Virginia who works at the intersection of engineering and behavioral economics. |
0:14.0 | Who even knew those two fields intersected? |
0:18.0 | Welcome to People I Mostly Admire, with Steve Levitt. |
0:24.0 | Lighty summarizes his research ideas in a new book, it's called Subtract, the Untapped Science of Less. |
0:31.0 | Now, being totally honest, when I first saw Lighty's book, I just missed it as schlock. |
0:36.0 | One of the hundreds of mediocre pop science books published every year. |
0:40.0 | But my friend, Sandel Muldinaten, who we might remember from two previous episodes of this podcast, said, no, Lighty's book is different. |
0:47.0 | There's something really fundamental there. |
0:49.0 | And Sandel's right about everything, so I gave Subtract a second chance and I realized, yes, there actually is something here. |
0:57.0 | With my newfound appreciation for what he's doing, I'm excited to talk to Lighty for the first time now. |
1:09.0 | You've written a book called Subtract, and you've done a ton of academic research on the topic. |
1:14.0 | Like, most good ideas, it seems like there is an extremely simple insight at the heart of your argument. |
1:20.0 | What is that? |
1:21.0 | When we try to improve things, our first thought is, what can we add to make this better? |
1:27.0 | And as a result, we overlook subtraction systematically. |
1:31.0 | I think there's an even simpler statement, which is that there's a human bias against subtraction. |
1:38.0 | Behavioral economists have been working on biases for 40 or 50 years. |
1:43.0 | And I think it puts a squirreling idea of, here's something that doesn't happen as much as it should, and that's the nature of what biases. |
1:51.0 | So, do you like that description, or you're not like the description? |
1:53.0 | I like it. |
1:54.0 | One quibble would be with, well, we don't want to just have this considered alongside the laundry list of biases that are out there. |
2:01.0 | Some of them less fundamental than others, because we think this is a pretty fundamental one. |
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