#363 — Knowledge Work
Episode Stats
Summary
Cal Newport is a professor of computer science at Georgetown University and a founding member of the Center for Digital Ethics. He is also a New York Times bestselling author and a frequent contributor to The New Yorker. He also hosts the Deep Questions podcast and is the author of Slow Productivity: The Lost Art of Accomplishment Without Burnout. In this episode, he talks about his decision to leave social media, the reaction to his decision, and what it was like to live in a world where people were mad at him for taking a break from social media. He also talks about why he decided to leave Twitter, and why he thinks it was a good idea to do so in the first place. And, of course, he discusses his new book, Slow, Productivity, the lost art of accomplishment without burnout which explores how to deal with the post-scarcity world in which we find meaning in a post-work world, artificial intelligence, and the effects of artificial intelligence on knowledge work. This episode was produced by Sam Harris and edited by Annie-Rose Strasser. We don t run ads on the podcast, and therefore the podcast is made possible entirely through the support of our listeners. If you enjoy what we re doing here, please consider becoming a supporter of the podcast by becoming one of our sponsorships. You ll get access to our scholarship program, where we offer free accounts to anyone who can t afford a full-time college education. The Making Sense Podcast scholarship program. which gives you access to the podcast and access to all kinds of mentorship programs, including early-access courses, books, podcasts, and much more. It s all free, all-in-all, no ads, no spam and no spam. Thanks to our sponsors get a whole-access access to everything you need to make sense of it all. Sam Harris and the podcasting to help you learn more about what s going on here. . - Sam Harris, the podcast making sense here at Making Sense the Making Sense podcast is making sense in the making sense podcast. - on this episode is a podcast that s all about it of it! making sense? this podcast is all about making sense in the world at making sense and why you should listen to it, not just because it s good, not because it makes sense.
Transcript
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Welcome to the Making Sense Podcast. This is Sam Harris. Just a note to say that if
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Well, there's a lot going on in the world. Iran recently attacked Israel to minimal effect,
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happily. I think there's one casualty at this point. Anyway, there'll be more to say about
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that soon enough. I will wait until I can do a proper podcast on the topic of Iran and what
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to do about it. Today I'm speaking with Cal Newport. Cal is a professor of computer science
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at Georgetown University, where he is also a founding member of the Center for Digital Ethics.
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Cal is also a New York Times bestselling author and a frequent contributor to The New Yorker.
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He also hosts the Deep Questions podcast. And Cal's most recent book is Slow Productivity,
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The Lost Art of Accomplishment Without Burnout. And we talk about the book today. We generally
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discuss information technology and the cult of productivity. We talk about the state of social
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media, the academic in exile effect, free speech in moderation, the effect of the pandemic on
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knowledge work. And then we get into his book. We talk about Jane Austen as an example of traditional
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productivity, managing up in an organization, defragmenting one's work life, doing fewer things,
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reasonable deadlines, trading money for time, how we will find meaning in a post-scarcity world,
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the anti-work movement, the effects of artificial intelligence on knowledge work,
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and other topics. And now I bring you Cal Newport.
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I am here with Cal Newport. Cal, thanks for joining me again.
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So we're going to talk about your new book, Slow Productivity,
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The Lost Art of Accomplishment Without Burnout. But before we do, I first have to thank you. I
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think I must have thanked you by email in the intervening year and a half since we last spoke.
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But you, as you know, you were the final domino to fall that led me to get off Twitter. And,
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you know, as I've said, really, every time I've touched this topic on this podcast and elsewhere,
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I'm just embarrassed to have discovered what a great life hack that was. I mean, it was just,
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it was diagnostic of how much a problem Twitter had become for me. But I just must thank you for
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your influence and your wisdom on that front and your actual intervention. I mean, you just straight
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up told me you thought I should get off Twitter in our podcast. And your voice was definitely in my
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head when I finally pulled the plug. So thank you.
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I mean, I, you're welcome. I enjoyed and found fascinating the reaction
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to you leaving Twitter. I don't know if this is how you experienced it, but to me, it's what I
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imagine it's like when your buddy at the bar stops drinking because people got mad that you left.
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I can't imagine being mad about someone stopping doing something, but people is as if they took it
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personally, as far as I could tell, like, what do you mean you're leaving Twitter? What's wrong?
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I thought that was as instructive as hearing about what your experience has been like after you left.
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Yeah, people did get mad. And, uh, you know, from the top down, I mean, Elon Musk was one of the
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people who got quite mad. It was interesting. I mean, obviously much of the reaction I didn't see
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because I was no longer on Twitter, but I got a lot of it in my inbox. You know, many people
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immediately reached out, worried that I was suffering some kind of mental health crisis. I mean,
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how do you delete your Twitter account apart from being in extremis? But, um, it's been
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wholly good and, and has allowed me to, um, not just pay attention more to things I actually care
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about, but just, it's allowed me to reflect on what my engagement with Twitter had become. And it
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was, I mean, I think people's negative reaction to it is to some degree understandable because
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my decision really wasn't just for me and my, my perception of, you know, what Twitter was,
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you know, had done to my own mind. It, it, it is a, an implicit and even explicit every time I talk
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about it, condemnation of what, what I think social media has done to most people on it. I mean,
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I think, you know, there's some people who have, um, you know, fairly benign experiences on these
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platforms, but for most of the, the so-called elites, you know, journalists and scientists and
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public figures who are, who think they are condemned to use this so-called digital town square to
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maintain their reputations and build their brands and all of that. I mean, it's, and to just stay in
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touch with what's going on in the world, it has become so dysfunctional. And I don't think this,
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I can't recall if this came up in our conversation, but one of the reasons why I left was not so much
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my, um, the awareness of what it had done to me, but kind of the obvious evidence of what it was
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doing to Elon, not, not as the owner of the platform, but just as his most, you know, most
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prominent user. And I just saw, it was just kind of staring into the funhouse mirror of, of his life
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derangement, which was, it was just quite obviously happening as a result of his addiction to the
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platform. I then began to reflect on the way in which I was sharing in that symptomology, you know,
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albeit somewhat differently, but still, I mean, once I pulled the plug, I, I just, it was like, I had a,
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um, almost like a digital phantom limb syndrome. And I, in fact, it was like, it was analogous to
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amputating a phantom limb. Cause I felt that what I was, the pain I was experiencing was happening in
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a space that wasn't quite real ever. You know, you're the, the, the digital reputation you imagine
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you're maintaining isn't quite, I mean, it is, you can't quite say it's not your reputation.
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Obviously it is your reputation, but it is, it is a, almost a second presence in your,
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in your mind and life, which doesn't totally map onto your life in real social space with real
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people in the real world. Even with the same people who you might be fighting with online,
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when you actually meet them face to face, those conversations are different. And so it just,
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it was like amputating a phantom limb. And, um, I mean, I, I just can't say enough about what,
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uh, a positive change has been. It's been quite incredible.
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Yeah. Well, you know, I did some writing about this more recently and I had you in mind a little
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bit when I was thinking about this, I wrote this New Yorker essay late last summer, early fall.
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And one of the big questions I had in there is why did we come to believe that the right way to use
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the internet to have discussions, the sort of surface ideas, the spread news, why did we think the right
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way to do this was to try to get everyone to use the same global platform? And this is, we take this
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for granted as like, of course, this is what you should do. We should have everyone use the same
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global conversation platform. Cause if we're all on the platform, we all can see each other. But of
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course the reality, and I sort of laid this out of the article is when you have 500 million tweets
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being generated per day, and the average person is going to see 100 in their feed, what you have to
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do is just incredibly aggressive curation, right? Because there's just, you can't have 500 million
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people using the same platform and yet have a sort of globalized, centralized, zeitgeisty feed where
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you're trying to surface a small number of trends for everyone to see. This requires incredible
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curation, this sort of amazing cybernetic part algorithm, part human, part network theory powered
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curation that Twitter uses. And it's of course that incredibly aggressive curation that makes this a
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platform that just fuels outrage, that fuels the darker side of people. And one of the arguments I made
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in that article is here's what works better. Small communities that have weak, tight connections
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between them. You have lots of small communities online and they have overlapping membership.
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We know from network theory, really interesting ideas can spread to these network of networks.
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Really important news will spread to these network of networks. But most of your interaction
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in this sort of digital vision is going to be with a small number of other people that have a sort of
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emergent shared sort of community standard. It's much richer, much more personal. That's really
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what the internet envisioned. Everyone is going to have the possibility to be connected to everyone
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else. Not everyone actually needs to be directly connected to everyone else on the same platform.
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So I've really been thinking about the folly of global conversation platform as one of the key
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Yeah, I think when we last spoke, you were pretty bearish on the major social media networks
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because I think it was because you thought TikTok had successfully disrupted everything because
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they weren't relying on the social graph that, you know, so you have Facebook and Twitter
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that had a kind of first mover advantage where they got all of us to build out our social networks
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in this common space. And that was really the, you know, that and some, you know, algorithmic gaming
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of the system was really the basis of surfacing content. And, you know, as we all know, it privileged
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outrage and kind of a negatively biased engagement. But what TikTok did is it just never even went in the
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direction of establishing a social graph. It just used a pure algorithmic surfacing of entertainment.
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And insofar as the social media platforms have had to emulate TikTok, maybe Twitter is still an
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exception here, but certainly Facebook or Instagram. Do you still think that the writing is still on
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the wall for the major platforms? Or do you think they're going to figure out how to still claim
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the better part of humanity for the rest of our lives?
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I still feel strong about that hypothesis. I mean, I think we see, for various reasons,
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but we see the dethroning of Twitter as having that same central cultural status it had before.
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TikTok, we see, for example, like my argument was about TikTok is without this entrenched advantage
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of my social graph is in there. I've already spent years trying to set up follower networks that I
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said the connection to TikTok would be very superficial and weak. And we are seeing that. I think last year,
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for example, there was double-digit drops in TikTok users among the sort of 20, especially the upper
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20s and in the 30s, that sort of demographic, sort of young adult demographics said enough.
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And they really had no problem leaving because what's actually connecting there, it's a very
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zeitgeisty platform that people can take or leave. I mean, Instagram is holding it there,
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but I don't think it has that same, again, centrality that it might've had two or three years ago.
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And the alternatives, independent media, so podcasting, email newsletters, these really
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are ascendant in the last year, year and a half since we've talked. And that's the opposite of
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the centralized platform model because this is independently produced information. People
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discover these things almost entirely through point-to-point curated trust. Someone I know
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forwarded me an email newsletter. I signed up. Someone I know told me about this podcast. I started
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listening to this podcast. They mentioned another podcast. Now I listen to that one.
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That distributed trust model of curation as opposed to a centralized algorithmic model,
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I think really works well, and we're seeing that. So I remain bearish on the idea of a small number
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of social platforms that dominate internet culture.
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Yeah. One of the biggest changes for me, which I didn't anticipate, was that shutting down my Twitter
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account changed my relationship as a producer of content, as somebody with a fairly large platform.
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It changed my relationship to my own engagement with current events and the world of ideas and just
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my audience. It just changed the time course of everything. So when you're on Twitter, you feel an
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obligation to react to something that everyone is reacting to, or at least you have to consider
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whether or not you should, right? So you're just, you know, something happens in the news and everyone
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is forwarding a specific article or, you know, dunking on some response to current events. And
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you, because you, it's just implicit, you have the platform, you have the massive audience, you're,
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you're part of this conversation. What are you going to say about it? And no longer having that
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outlet, the time course of my response to everything has slowed way down. And so, you know, now I have
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this podcast and I podcast, you know, more or less once a week. And so I really have a, I have a better
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part of a week to decide whether I should say anything about what just happened, you know,
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in Ukraine or anywhere else. And, you know, most things, I would say 99% of things don't survive
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that interval, right? It's just, there's no reason for me to react to the thing that happened four
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days ago. And, you know, there has been memory hold for almost everyone at this point. And so it's
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just changed my relationship to information, to the news, to my own sense of just how I needed to
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think and talk about things. And I really wasn't anticipating that. It just, it was, you know,
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there's probably something lost there. I mean, there are moments in public conversation where
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it's probably an advantage to be able to say something immediately. And, you know, you're part
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of that first, the first things that are getting said are something you're contributing to. But
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I don't know, it just, there's so much more noise than signal there. And just the feeling of moving
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through the day is so different when it's not being punctuated by dozens of interruptions, but,
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you know, with just to see what was said or to decide whether you're going to say something about
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this next thing that happened. It's just, I mean, honestly, it feels like I've just come out of
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some kind of decade long flirtation with mental illness. I mean, I just, it's, it's not actually
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too strong a way to put it. It's, it's just, it is a profound relief. I mean, it's a, and a humbling,
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a humbling one really, really. Yeah. Do you find it surprising the number, I'm thinking journalists
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in particular who very much dislike Elon Musk, right? So they, they have a, a sort of moral,
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personal, ethical commitment to stop using his platform. And they'll still talk about,
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I don't like what's happening on X. I don't like Elon Musk. And yet almost none of them have left.
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I find that interesting. I think, again, I think there's something interesting in that where it
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would, for a lot of people who are writing like in tech journalism, business journalism,
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really dislike, clearly dislike Elon Musk, still can't bring themselves to leaving the platform,
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platform, which, which again, I think speaks to something interesting about the way the platform
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plays, especially people with some sort of public profile, the way it plays and how they, they
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understand their, their influence on the world or their impact. But that's, to me, that's been
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the more interesting observation of the post Musk period is actually how rare you still are,
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which is, you know, I thought there'd be a lot more Sam Harris's, a lot more people saying,
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yeah, I'm just leaving. People are having a hard time.
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Yeah. Well, I mean, I, I do have to recognize that I'm immensely lucky to have already, already
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have built my platform in, in the ways that I've built it so that I didn't feel that really I was
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putting anything in jeopardy by just pulling the plug on my, my social media presence. I still have
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a, a, a minor presence in, in the sense that, you know, my team puts out stuff on, on the various
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platforms. It's just a sheer marketing, right? So there's, but those were always much smaller
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accounts and because everyone knows it's not me, you know, people are much less interested in it.
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So, you know, I mean, those are just maintained in a perfunctory way, but I think most people who
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are still building their, their, their reputations as writers or journalists or, I mean, certainly
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people in politics feel that they just can't forsake the opportunity to build an audience there or,
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and they certainly can't pull the plug on a large audience already built if they're busy,
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you know, whittling away on their various projects. I just see no other way to, to effectively market
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them. I mean, I just think it's, everyone's been captured by it. And what's more, there, there is
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just this sense that if you're not there, you don't know what's actually happening as soon as you need
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to know it. I mean, especially if you're a journalist and I mean, the thing is that it's so distorting of
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priorities and of, of real information. I mean, I see, I see so many people in the podcast space and,
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you know, in the alternative media space pushed around by misinformation and conspiracy thinking.
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And even when they're, you know, occasionally right about something, you know, I mean, occasionally
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there's a conspiracy theory that really turns out to be true. It's just so everyone's priorities are
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so upside down. And there's just this, what is engineered for this, this is now kind of outside
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of mainstream channels. I mean, this wouldn't be true of the New Yorker where you write, but it's
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just, you know, out in what I call podcast to stand and substack a stand. It has created this,
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this new religion of anti-establishment thinking, where it's just the alternative explanation of
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everything is the thing that we're now going to spend 90% of our time talking about. And it's just
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so often wrong and misleading and deranging that, I mean, it really, it has made me increasingly
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worried that we have, you know, politically, you know, in the, certainly in the aftermath of COVID
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rendered ourselves almost ungovernable in how we talk about, you know, what you, what, or, you know,
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attempt to have a conversation about what used to be the world of facts.
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Yeah. Well, I mean, I think this is one of the more engaging human psychological experiences
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is this idea of most people were thinking this, but then me and my group figured out that that is
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true, right? That inversion, the, the inversion of the, whatever the, the empiricism structure
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is incredibly engaging and it occurs every once in a while in reality. Like everyone was thinking
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this and then we realized whatever DNA is a double helix and it's like amazing online culture,
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especially algorithmic driven online culture has given a way to basically commodify that and spread
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that. Like that we can, we can create, you can, you can build an entire like epistemology around
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everyone thinks this is true, but it's really that, you know, everyone thinks this is bad for you.
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It's good. Everyone thinks like this about this disease, but it's that everyone, you know,
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thinks that, and you can build an entire epistemology around that. Like your entire world can be
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that. And there can be a whole audience that's just going to reward that. The algorithm is going
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to reward that. So I have definitely seen that as well. There, I mean, there's a, there's a well-known
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effect among professors called the sort of academic in exile or academic in the wilds effect, which is
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if you, if you take an academic and then they leave, they leave academia, you know, they go, they go
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independent eight times out of 10, they go to some really conspiratorial places. And partially what's
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going on here is, well, first of all, they're smart. So like it completely makes sense to them
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that, uh, I could figure something out that other people didn't understand because I'm, I'm very smart.
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But one of the purposes and like services academia plays is there's this checking mechanism. Everyone
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else is smart too. And so when you're like, Hey, I think, look, here's this, this whole new way of
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seeing it. The earth is hollow. You have all these other smart people being like, here's why you're
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dumb. And they take you down. Right. But when you leave, you have this academic in exile. And this is
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sort of like Linus Pauline with vitamin megadosing, right? It's much, much higher rate now in the age
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of social media, because now when you leave, you can immediately algorithmically have constructed
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an audience that cheers you on. And so now I think the severity of academic and exile effect is much
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more pronounced and much more ubiquitous than it used to be that when you sort of leave academia to
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start your podcast, it's not too long until, you know, there's world changing conspiracies that you're
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uncovering and it could be medical and it could be governmental and it doesn't matter. And so I think
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that effect is like one of the more interesting effects that's been happening is that you can get
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a cheering section and the algorithmically constructed cheering section of people that you're
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being rewarded for saying, I think this is the way it really happens. And, you know, you see this all
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the time. I think I like podcasts to stand as a term, this idea of there can be a hundred studies
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saying something, but if there's one study saying something different, the way you perceive that is,
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well, everyone knows now that thing's not true. It's this interesting sort of sampling of evidence,
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this sort of destabilization of Bayesian priors that is amplified and supported in sort of the world of
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algorithmically discriminated or algorithmically disseminated information.
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Yeah, that's really interesting. Yeah, this is a, you just described an effect that I've referred to,
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I believe previously as watching people get radicalized by their own audience, right? I mean,
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that cheering section has the effect of people notice the signal in their own audience and then
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they begin to cater to that signal. And then there's just this, this ratchet effect where it
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just gets, you know, crazier and crazier and there's more and more sunk cost reputationally for having
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been the guy who was sure that there's so many examples of this in the midst of COVID that focus on
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vaccines and medical conspiracies, etc. You're just, you go all in and then you, you know, you would have
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to completely repudiate how you spent the last 12 months if you were going to have a, have a second
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thought and anyone's going to talk any sense into you. Yep. So there's one thing that reliably
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confuses people here around the norms of our online conversation and it's the analogy of Twitter being
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the so-called digital town square and this notion that a commitment to free speech should more or less
00:23:17.600
bar the door to any kind of, you know, real moderation policy, right? Like what you want is a total free
00:23:25.960
for all where the best idea wins and sunlight is the best disinfectant, right? So we should be able
00:23:33.100
to entertain any notion at whatever scale for however long in proximity to any other world events
00:23:41.620
and any effort to put your thumb on the scale to de-platform Alex Jones or to try to clean up a
00:23:51.140
digital sewer that's introducing bias by definition and it's, and worse, it's actually just a
00:23:59.080
repudiation of, you know, free speech in, in the constitutional sense and it's, um, it's forsaking
00:24:07.520
the best error correcting mechanisms we have which are just let everything suffer collision with
00:24:15.700
everything else and see what wins, right? And so the, you know, people never, when they're championing
00:24:22.520
this, you know, commitment to something like free speech absolutism, they never take a moment to
00:24:27.960
recognize that there are places on online that are much closer to the absolute than Twitter ever was
00:24:33.840
and no one wants to be there. I mean, places like 4chan and 8chan, I mean, that's where you really get
00:24:38.660
your absolutes, right? Where you can just, you know, I mean, everything up to child pornography is,
00:24:44.140
might populate your, your feed. But there's also just this point that is also overlooked, which you
00:24:51.220
just referenced, which is the algorithmically boosted aspect of the speech, which changes the,
00:24:57.080
the nature of what speech is online. So perhaps you could just give me your thoughts on how you view
00:25:03.280
this tension between our commitment to free speech, our commitment to leveraging the wisdom of the
00:25:10.000
crowd insofar as it exists and to correcting errors at scale, but this need to not suffer the 4chanification
00:25:18.580
of everything in our digital lives. Yeah. Well, I think that town square, it's a town square analogy
00:25:25.080
that's causing the problem here, right? I mean, the, the concept of a town square, the sort of
00:25:30.040
central gathering place where people can democratically discuss depends on scale being
00:25:35.380
reasonable, right? I mean, we call it the town square. We don't call it the city or the state
00:25:39.580
square, right? Because it's, it's a place where the demos in Athens, we sort of, a relatively
00:25:44.960
constrained group of people who all know each other and have other ties to each other. You have other
00:25:49.240
social trust ties to each other. We live in the same town. I run the hardware store that you come
00:25:54.140
to, to buy your nails, them to come together. There's this free speech notion of, well, we don't want to
00:25:59.760
buy fiat in advance, say, here are topics that are off limits because how are we going to work
00:26:03.760
together to advance what we understand? Twitter is not a town square, right? When you have 500
00:26:08.520
million users, that's not a town square. It's an entertainment product. We have 500 million users
00:26:15.100
who are inputting lots of different possible bits of, of content that could be interesting.
00:26:20.280
We're going to run them through this cybernetic curation algorithms. This is what I mean by that is
00:26:24.720
there's algorithms involved, but it's also the expansion properties of the underlying
00:26:29.660
follower graph means that individual decisions to retweet or not retweet. These are human
00:26:35.180
decisions interacting with these digital networks can create these cascades of information spreading.
00:26:41.200
That's a lot about how trends arise. It's a really powerful actual curation mechanism.
00:26:46.140
It's unlike TikTok, which is purely algorithmic. On Twitter, it's cybernetic. You have these digital
00:26:51.420
networks with good expansion properties and 100 million people making individual decisions whether
00:26:56.660
not to click retweet or not, whether to quote tweet or not, which is a whole interesting sort
00:27:01.080
of computer science question. All of this aimed towards how can we take this giant pool of potential
00:27:06.360
content and choose the sort of small number of streams of content that are going to be relatively
00:27:11.560
globalized or interesting and engaging. That's not a town square. It's an entertainment product.
00:27:16.300
It's why in a New Yorker piece I wrote right after Musk took over Twitter, as I said, it's not the town
00:27:21.540
square. It's much more the Coliseum. That's much more the better idea. It's tons of people watching
00:27:26.280
carefully curated entertainment. In that context, of course, you have all sorts of thumbs on the
00:27:31.120
scale. The whole point is we're trying to put on this show. I think of the trending topics of the
00:27:36.860
day as the show on the Coliseum floor with all the huge crowds just watching and chiming in to see
00:27:42.080
the blood sport between, hey, Sam today is having a war with whoever. This is the entertainment for
00:27:48.100
today. It's an entertainment product. Of course, the thumb is on the scale because you're trying
00:27:52.500
to find something that just pushes the buttons right. Maybe there's some outrage, but not too
00:27:57.540
much. Maybe it's absurd, but not in a sort of 8chan, completely over the top, lols type absurd.
00:28:05.540
You're trying to program a television station. You're trying to program entertainment in a Coliseum.
00:28:11.560
It's not a town square. Now, if you have actual digital town squares, here's a place for a small
00:28:17.160
number of people who have other ties to each other are gathering to think things through and talk
00:28:20.840
things through. We've seen examples of those can have a wide variety of different community
00:28:25.200
standards, including standards where almost anything is going to go on this discussion
00:28:30.100
group. But it works because we're all whatever, lumberjacks from this part of the country, and we
00:28:35.200
sort of have other ties to each other. And so I think it's that town square metaphor that threw us
00:28:39.220
off. We took this entertainment product and somehow tried to make it seem like this was the Roman
00:28:44.140
Senate. Like this is where just like this reasonable, reasonable scaled group of people
00:28:49.340
were getting together to hash things out. And that's never what they were actually trying to do
00:28:52.400
there. It seems reasonable to have made this mistake, though. I mean, the structure you're
00:28:57.560
positing, like a network of networks online, that at least is implied on Twitter because you have the
00:29:04.320
people you're following and you have the people who are following you. And that's not all of Twitter,
00:29:09.000
right? It's just you're just tending to see what you're following and everyone who's following
00:29:15.380
you sees what you react to. And that's its own little space. Why is that so easily corrupted
00:29:23.880
by being in contact with the rest of the ocean of information?
00:29:28.780
Well, what ends up happening on Twitter is that more local interactions just get swamped out by the
00:29:33.940
ultra amplified content, right? And increasingly their feed is driven by this. So there's some
00:29:39.980
stuff in there from people you straight follow, but the feed is algorithmically sorted. And one of
00:29:45.320
the major criteria on which things are sorted for your feed is their engagement across the network.
00:29:50.480
So really what's happened is it's the content that has really gained this big boosting effect,
00:29:56.160
this sort of cascade of retweets leading to retweets. That's what's being programmed for.
00:30:01.180
And there's some conceptual regionalization. So if you're, if you follow a lot of a certain type
00:30:06.520
of people, you might be seeing what's really being amplified in that, that subgroup. That's true.
00:30:11.420
There's some, there's some of that going on as well, but it's a really large scale at which a lot of
00:30:15.940
this is happening. And especially when it comes to the most town squarey piece of this, which is
00:30:20.820
discussions of politics, discussions of policy, discussions of world events, the sort of the stuff we
00:30:26.020
think of as the grist of civic discussion. Those are incredibly large sub-networks in which
00:30:32.660
information is spreading. And that's where you really have the Coliseum effect. It's people
00:30:37.140
competing to get their turn on the Coliseum floor. They have their trident ready. And that's like that
00:30:44.080
most civic-minded aspect that we associate with Twitter. I think it's the most entertainment-centric.
00:30:48.400
Yeah. And the most corrupting of our conversation about important topics, because it really, because
00:30:55.760
one of the thumbs on the scale here is outrage. And I mean, outrage is a word we keep using in this
00:31:02.600
context. And it's, it seems to have been, I mean, at least in my hearing, it doesn't quite convey the
00:31:10.000
attitude that one sees so often online, which is, it really is kind of in-group sanctimony and out-group
00:31:18.220
contempt, right? You're expressing contempt for the out-group to your in-group. It's a
00:31:23.380
simulacrum of conversation. I mean, sometimes you're actually, you know, someone's responding
00:31:26.580
to somebody else, but it's almost always a bad faith response. It's a response that is meant
00:31:33.340
to be enjoyed by the in-group that despises the target of the remark in the out-group. And it's so,
00:31:41.320
it's just, it's so obviously driving us apart at the level of society. Again, not when you're
00:31:47.760
talking about how beautiful a full solar eclipse is, but you know, when you're talking about
00:31:53.220
politics or anything that is polarizing. Yeah. No. And, and, and I'm with you on this,
00:31:58.980
right? It does that. It does that. And you're auditioning, you're auditioning when you comment
00:32:03.320
on someone's tweet, you're auditioning for the algorithm. There's this sort of cybernetic
00:32:07.180
amplification effect. So everyone tries to one-up each other. I mean, I hear a lot from people,
00:32:11.840
you know, what they're really, they're worried about mainly is not the contempt from the other side,
00:32:15.240
but that the in-group policing, I think it's had a massive impact. We see it, you see it in
00:32:19.960
journalism, you see it in academia, you see it in sort of theoretical frameworks. You certainly see
00:32:27.020
it to some degree in politics. So it's interesting politicians, they're so used to that. It's almost
00:32:32.420
as if they, they're the one group that at least sort of understands the sociodynamics of, of
00:32:39.280
something like Twitter. Like this is sort of their lives is, you know, in-group policing, out-group
00:32:44.180
contempt, being okay with like, these people are upset. Who am I going to hitch my wagon to putting
00:32:48.800
their finger to the wind? But for most other people aren't used to that. And so it's a, it's
00:32:53.100
definitely an effect that makes you either cower or makes you conform. Look, I only get some taste
00:32:58.220
of this, like when I'm doing book tours, right? Because I'm not on social media. So I'm not subject to
00:33:04.200
people talking about me in, in these sort of contexts. When you have a book out, you, people
00:33:08.680
do talk, you get reviews and people come out to talk about your book or whatever. And I hate it.
00:33:13.440
And I couldn't imagine if that was just all the time, that if like all the time, that was the
00:33:18.060
world I was in is like every week I have to get like the two or three people that are like taking
00:33:22.340
their swing at me or whatever. I mean, that would drastically affect, I'm sure what I write about,
00:33:27.660
how I went through my life, just like the subjective wellbeing. Yes. I really, I was really hoping
00:33:33.560
for Elon to destabilize Twitter so much that it did essentially collapse. Like it would actually
00:33:39.860
be like a great civic duty that he would have done, but it seems to be holding on to some degree,
00:33:45.320
at least as far as I can tell, which is I think unfortunate. Yeah. Well, he's, he's destabilized
00:33:50.680
something and it's been his own brain, but yeah, it's just, he really is a cautionary tale at this
00:33:58.820
point. And, and, uh, that, that has always been my concern about his engagement with Twitter,
00:34:03.800
not so much what he was going to do to the platform. I, you know, I've, for the longest
00:34:07.300
time I remained agnostic as to whether or not he could actually significantly improve
00:34:11.860
it. I don't, it doesn't seem likely to me now, but I'm not really in touch with what
00:34:17.380
it's become, but it's just as, as for its effect on him, you know, one of the most productive
00:34:21.680
people in any generation, it's, um, it hasn't been good. Let's turn to your book because it's,
00:34:29.020
um, really, I mean, you've, you've written a series of books that have, um, targeted the same
00:34:35.880
kind of, of object here, which is a, um, a life well lived, right? I mean, the question is like,
00:34:41.980
how do we answer the question, what is life good for, right? I mean, the people, especially
00:34:48.000
when you get to a certain level of privilege and abundance and just sheer good luck, and
00:34:54.100
this is almost by definition, much of our audience, you know, for a podcast like this
00:34:59.640
or for a book like yours, and we're talking about people who have the time to think about
00:35:04.280
how to improve their lives in, and how to, to live more wisely and get to a place where
00:35:11.780
they, they more and more are not regretting how they use their time. I mean, they're, they're,
00:35:17.140
that does suggest, you know, at least a few degrees of freedom there in the kinds of choices
00:35:22.080
they make. You know, presumably, if you're listening to this podcast, you're not digging
00:35:26.260
a ditch in the sun under the lash of some tyrant, right? So you, you seem to be at least implicitly
00:35:33.940
and rather often explicitly asking these types of questions, you know, just like, what is the
00:35:38.980
point of all of this? What, what, what does winning the game actually look like? And in this
00:35:44.740
most recent book, you're talking about a new approach to productivity, which, you know,
00:35:51.940
you, you say is, it's a lost art. So you're suggesting that we were once much better at
00:35:56.400
this. Well, let's just start with your, your basic concept. What do you mean by slow productivity
00:36:05.540
Well, I agree with your characterization of the questions I think about, I would add something
00:36:10.320
else to it, which is, you know, as a computer scientist, as a digital theorist, I care in
00:36:17.120
particular how technology intersects with that story as well. Right. So, so in most of my writing
00:36:22.660
of the last decade, there's usually a unintended consequence of a technological development that
00:36:29.300
gets us out of touch or becomes an obstacle to living some life that's going to be deeper,
00:36:33.760
more meaningful. And we have to grapple with that and understand that technology, the opportunities,
00:36:38.600
the perils, and sort of navigate around it. Right. So even this book, like slow productivity,
00:36:43.860
the, the problem that I'm solving, there's actually a techno story behind it. Right. I mean,
00:36:49.120
so there's, there's a, an easier way of summarizing it, which is look, there's a key question that a
00:36:53.080
lot of people are in mainly, as you say, the sort of knowledge work world. These are people who are
00:36:57.260
doing pretty well, right? You have a job in which you look at a computer screen and you're an air
00:37:01.500
conditioner, right? So a lucky place to be, but that group of people, and these are the people,
00:37:06.480
these are a big group of my readers. A big question. A lot of them have is, okay,
00:37:09.680
how do I do my work? Well, how do I produce things I'm proud of, have impact, you know,
00:37:14.720
support my family and yet not let work just take over all of my life. And how do I avoid sort of
00:37:20.920
falling into burnout? I don't want to be like pre Twitter, Elon Musk, and just don't sleep and have
00:37:26.680
seven businesses and just get after it. Like, how do I still do stuff I'm proud of, but also spend time
00:37:32.000
with my kids, right? There's this big question. And the book looks at that question from both the
00:37:37.960
perspective of someone like creatives that have a huge amount of autonomy, and also from the
00:37:41.500
perspective of sort of a standard office worker who has less autonomy, how can they still sort of
00:37:45.920
navigate that knife stage? But there's a techno story behind how we got to a place where that
00:37:51.320
question became more and more relevant. And the story that I'm trying to tell in the first part of
00:37:56.200
the book is knowledge work itself, when that emerged as a major sector, which is really like
00:38:02.380
mid 20th century, had this issue of not really knowing how to define productivity. Because we
00:38:09.380
had industrial productivity was a quantitative concept. It's a ratio, it's model T's per paid
00:38:15.160
labor hour. Agricultural productivity is a quantitative idea. It's bushels of corn per acre of land. You could
00:38:21.200
measure this. Industrial manufacturing, agriculture, you had well-defined production systems.
00:38:26.200
So you could tweak something very specific and see how it impacted that number. Knowledge work
00:38:31.720
comes along under that works. Knowledge work is more haphazard and autonomous and ambiguous.
00:38:37.720
I might be working on seven things that are different than the eight things you're working
00:38:41.040
on. There's not one thing we're producing. There's no well-defined production systems we use
00:38:45.100
for our work as well. Organizing labor is very independent and individualized in knowledge work.
00:38:50.140
And so in response to that, the knowledge sector came up with this idea of, we will use visible
00:38:57.400
activity as a proxy for you doing something useful. So we'll all gather in the same building like we
00:39:04.400
would a factory. We'll work factory shift hours. And if I see you here doing stuff, I'm assuming that's
00:39:10.600
useful stuff. And if we need to be more productive, come early, stay late, right? I call that pseudo
00:39:14.860
productivity. The techno story is that worked okay. Not great, but worked okay until the front office
00:39:22.680
IT revolution of the late nineties and early two thousands. And then once we threw network computers
00:39:27.300
and then later mobile computing into the sort of office work sphere, pseudo productivity spun off the
00:39:33.360
rails, right? Because the personal computer came in and now suddenly the amount of different things you
00:39:38.780
could work on quadrupled. No longer do we have specialists to type and specialists to handle
00:39:44.660
communication. The amount of work you could do quadrupled. Low friction communication networks
00:39:49.020
made it really easy to ask people to do things. So workload skyrocketed. Email chat really changed the
00:39:55.520
game when it came to demonstrating visible effort. Now you could be doing this in an incredible fine
00:39:59.580
granularity at a frenetic pace. How quickly I respond to a message might be really important signal in
00:40:05.420
trying to show how pseudo productive I actually am. So my argument was the front office IT revolution
00:40:11.380
plus this older idea of pseudo productivity, they didn't mix. And it led to this increasing
00:40:17.620
exhaustion of knowledge workers as the amount of stuff they're working on increased. The amount of
00:40:23.000
their day dedicated to talking about work instead of actually doing work increased. The freneticism and
00:40:29.300
speed of their work increased. At the same time, they were getting more nihilistic. Like,
00:40:33.600
what am I actually doing here? I'm just doing all these visible signs of productivity. I'm sending
00:40:38.360
emails, I'm in meetings, but I'm not actually writing the marketing report. I'm not actually
00:40:41.880
programming the computer. And it led to the burnout epidemic. And so there's that underlying techno
00:40:47.220
story of technology plus that crude metric didn't work well. So we have to reassess what does it mean to
00:40:54.000
produce really good stuff? Can we do that in a way that doesn't make work really exhausting? So I have
00:40:58.140
that sort of personal angle. And then there's also this sort of deeper techno-social economic story.
00:41:04.240
And they're both circling, I think, the same issues.
00:41:06.760
Hmm. Well, what did COVID do to this picture? I mean, there's this profound change. I mean,
00:41:13.960
again, we're talking about knowledge workers almost by definition here. And perhaps you should bound that
00:41:20.340
concept for us a little more. But the rise of remote work in the aftermath of COVID and the seeming
00:41:27.960
durability of our commitment to that. I mean, there's just, I guess, many organizations are
00:41:34.200
still struggling with just how to get the balance right. But there does seem to be this hybrid level
00:41:40.260
of commitment to remote and in-office work for many organizations. And there are upsides and downsides
00:41:47.080
to that. But it does change this, at least the optics of pseudo-productivity. I mean, you're just,
00:41:53.280
if you're not seeing people, if you're not condemning people to have to be at their desk for 40 hours a
00:41:59.060
week, whether that's the best use of their time or not, because so much of their time is now remote
00:42:04.180
and you're not actually, you know, they don't get the credit for being at their desk because they're,
00:42:09.520
you know, there is no desk to be at much of the time. And then there's this phenomenon of,
00:42:13.820
you know, the quiet quitting that has been much discussed. How do you view what recent years,
00:42:19.380
you know, during and post-COVID have done to this conversation?
00:42:23.240
I think the beginning of COVID pushed this increasing issue people were having with the
00:42:28.460
unsustainability of pseudo-productivity. It pushed it over the edge. Because a couple things happened
00:42:33.560
when knowledge workers had to go remote right away. When we were shifting remote, we were already,
00:42:39.360
for the most part, at our max capacity for the amount of work that we could have on our plate
00:42:44.500
at the same time and have any chance of not drowning. And the reason why we're at max capacity
00:42:49.000
is because in knowledge work, we leave workload management up to the individual. Like for the
00:42:53.760
most part, that's up to you to figure out how to manage what you're doing and what you say yes to.
00:42:58.880
There's a lot of autonomy and ambiguity in knowledge work. So how a lot of people began to manage
00:43:04.480
their workloads is they would wait until the stress of their workload got high enough that it outweighed
00:43:12.400
their concern about the negative social cost of saying no to new work. This became the primary
00:43:18.040
governor mechanism by which so many knowledge workers managed their workloads. So of course,
00:43:21.820
this keeps you at a state of having a stressfully large amount of work. If you have to be stressed
00:43:27.440
before you begin to say, no, everyone has a stressful amount of work. Then the pandemic hit,
00:43:32.780
which automatically gave us like 25% more tasks overnight because we had to adjust unexpectedly
00:43:38.960
to, oh, we got to run our company. You had to wipe down your groceries.
00:43:42.780
Yeah. And just work itself. Like how do we deliver our services? If I remember this going on at the
00:43:49.360
New Yorker, like how do we move our whole production process to like a digital pipeline? It was just new
00:43:53.580
work came out of nowhere. The collaboration then also became less efficient because we lost all of
00:44:00.180
the, oh, I see your office door is open. So I'll poke my head in and be like, hey, well, what are we
00:44:05.280
going to do about this client? And it takes two minutes. Instead, we had to start scheduling Zoom
00:44:08.820
meetings. But the smallest granularity of these meetings was a half hour because it's hard to drag
00:44:13.940
anything smaller on your calendar. And so now we were making the collaboration, the overhead related
00:44:20.240
to work that became a lot less efficient. And then finally to compensate for the fact that I can't
00:44:26.200
see you doing visible activity. We just moved this over to being even more phonetic with digital
00:44:32.060
communication. Like I really now is important for me not to reply quickly. Like I have to reply very
00:44:39.660
quickly to Slack because like, this is maybe the only way I have right now to demonstrate that I'm
00:44:43.660
being pseudo productive. Right. So all these things happened overnight and people just said enough is
00:44:49.500
enough. And I actually argue, this is a piece I wrote a couple months ago. I argued that many
00:44:55.980
of these sort of spasmatic emergent grassroots revolution reform movements and work that we saw
00:45:02.500
throughout the pandemic period were in part people responding in a primal way to this. I've been pushed
00:45:09.900
over the edge with what's going on in knowledge work. So I think the knowledge work component of the
00:45:13.940
great resignation was a response to people saying enough is enough. I think quiet quitting
00:45:18.880
was a response for the younger generation who couldn't resign or switch down the half hours
00:45:25.100
and move to a cabin. So quiet quitting was a response. I think much of the fury around the
00:45:30.480
remote work wars that really picked up steam in 2021 and 2022 was also a sort of misguided response to
00:45:37.020
this deeper primal rejection of work has just become sort of intolerably frenetic and overloaded.
00:45:42.900
And I'm getting actually almost no real work done. Objectively, the remote work wars didn't make a ton of
00:45:47.280
sense, right? You had this thing that did not exist 16 months earlier. And now you had worker groups
00:45:54.140
talking about it like it was a Geneva convention. It was just like fundamental right that of course work is
00:45:59.840
supposed to happen at home. How could we ever take this away? This didn't even exist, you know, 16 months
00:46:04.720
earlier. I think part of that was just a generalized zeal for reform because when we took this already sort of
00:46:12.460
exhausting tempo and this nihilism of all we do is talk about work and rarely get work done. When we
00:46:17.900
pushed that over the edge in the pandemic, it broke a lot of people. And a lot of the unrest we saw in
00:46:23.760
the knowledge work sector throughout the pandemic, I think was people just responding to enough is
00:46:28.540
enough, but they didn't really know exactly what they were responding to. And I think a lot of those
00:46:32.080
efforts were sort of misguided energy. And we missed a lot of the opportunities we had to really make
00:46:36.580
better reform here. That's the context in which I was thinking about slow productivity.
00:46:41.060
Well, let's talk about the principles of achieving slow productivity. What is signified by the phrase,
00:46:48.720
and you frame your discussion around many interesting case studies, the main being John McPhee,
00:46:56.940
but you talk about Benjamin Franklin and Jane Austen and a bunch of scientists. And it's all,
00:47:03.220
it does suggest, I mean, that this is really your thesis. You talk about the ways in which
00:47:09.220
our engagement with new information technology has deranged our sense of what it is to be productive
00:47:17.500
and how we measure success. And so if you go far enough back in time, it's not a surprise that you
00:47:22.700
see examples of people who didn't have this technology, who were succeeding by the lights of
00:47:27.500
history in spectacular ways at a very different cadence with respect to how they worked.
00:47:33.220
You know, feel free to bring up any of the principal case studies you want, but we should
00:47:37.880
talk about your three stages here, do fewer things, work at a natural pace, and obsess over quality.
00:47:45.520
Yeah. I mean, and the reason, I mean, because it was a big decision, but the reason I chose to use
00:47:51.360
as the primary case studies, these sort of historical figures, there's really two aspects to that that I
00:47:56.560
think is important to sort of set the stage. One, I was wary of the uncanny valley effect.
00:48:02.820
I've seen this a lot when talking about sort of contemporary work. There's an uncanny valley
00:48:07.940
effect. If you say, look, I'm going to tell you about a company that exists right now that's doing
00:48:13.900
things differently or a specific employee at a marketing company and here's how they do things
00:48:18.200
differently. Their job is so similar to yours that the differences really begin to matter,
00:48:23.480
right? And people have a hard time getting past like, oh, but that's a client service firm and our
00:48:28.820
client. We have a timesheet firm and it's actually, I found that it's difficult for people to get past
00:48:34.020
that uncanny valley. It's too close. If it's too close to what they do, but not exactly what they
00:48:38.540
do, it becomes an unbridgeable or disorienting gap. So I said, why don't I look at what I call
00:48:43.500
traditional knowledge workers who are actually defined by, this could be the critique, but I'm
00:48:48.680
twisting the critique to be a benefit. They're defined by all the freedom and autonomy they had
00:48:53.020
to experiment with what's the best way to create value using my brain. I said, this is why these
00:48:58.460
people are important because they had all the freedom in the world to figure out what works.
00:49:02.520
So if we look at what they settled on, they're probably uncovering some useful universal principles
00:49:07.620
about the best way of creating valuable things using the human brain. Now, what we could then do
00:49:12.920
is once we isolate those principles, I can do the hard work of, okay, so how can we make that relevant
00:49:16.840
to someone who works in a cubicle? How can we make that relevant to an entrepreneur in 2024?
00:49:21.240
Yeah, there's a lot of work then to translate those principles to tactical things that make
00:49:25.760
sense to people today, but I thought that was the right way to do it. So those three principles you
00:49:30.560
mentioned were the three big things that came up. If you study historically people who were good with
00:49:36.300
creating valuable things with their brain, they didn't work on too many things at the same time.
00:49:40.920
They really avoided overload. Their pace was varied, hard periods, less hard periods. Also,
00:49:47.800
they would measure productivity on very large timescales. So many of the most productive
00:49:52.960
people in history, if you go back and look at a random month in their life, they seem incredibly
00:49:57.540
nonproductive, right? Because they didn't think about productivity in terms of like today needs
00:50:01.480
to be productive. They thought about it like the next 10 years, I want to produce something that
00:50:04.920
matters. And then finally, they cared a lot about craft, right? That was a sort of antidote to the
00:50:11.260
appeal of busyness, was to instead reorient their interest towards, I want to do something really
00:50:17.680
well, and I want to keep better at what I'm doing. All three of those principles, I argue, can be
00:50:21.780
first adapted to modern knowledge workers with a lot of freedom, and then can be further adapted even
00:50:27.640
to knowledge workers who are in a situation where they have less freedom.
00:50:31.100
We can get ideas from there that transmute into interesting, tangible advice for people in
00:50:39.100
various situations in our current moment. The purest case is the person who really is
00:50:44.540
his or her own boss and can just decide to create whatever they want, and then the analogy to
00:50:55.820
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