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Welcome to this after life.
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Everybody really excited to have you joining us today, as
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always in your host Edam Gainwell, I'm thrilled to be
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joined today with doctor and Laura Lecon. She's the founder
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of nest Labs and the author of a really really
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cool fourth coming book I'm excited to dive into today
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with y'all. It's called Tiny Experiments how to live freely
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in a goal obsessed world, and this is something that
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definitely resonated with me as someone who is both goal
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obsessed and trying to get out of that circuit.
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So and Lork, thank you so much for joining me
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on the podcast today.
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Thanks so much for having me. I'm so excited to
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chat out.
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So one thing that I'm really particularly excited to talk
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with you about is the way that your work intersects
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with some of the most pressing questions that a lot
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of us are facing today, and things like how do
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I find fulfillment in a world that I think it's
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pushing me in one direction, you know, go get this degree,
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get this job, do this thing, x y Z. You know,
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it's always this very linear kind of path, and we're
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finding ourselves in these worlds of different kind of limits now,
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whether it's thinking about the mental health that I have,
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the kind of work that I want to do, the
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environmental constraints that like I feel like the linear path
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doesn't quite doesn't quite work, you know, as as it
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seemed like it used to. And then there's just the
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other side of the equation that's like, how do we
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both best draw from kind of modern science and contemporary
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thinking as well as like the wisdom of past and
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present cultures of of you know, how people lived well
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in the past. Right, how do I like think about
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all these pieces together? And so I think it's exciting
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because your work brings us right into the center of
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this this area and again something that's super relevant because
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we're seeing more and more younger generations talking about mental
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health and what pathways need.
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To be for life.
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So I think to kind of kick us off, you know,
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one of the areas that I think encapsulates this is
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that you that you kind of talk about, is that
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our kind of pathway of setting goals is broken. And
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I love this idea because I agree, you know, but
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I think it's it's something that we find ourselves hitting
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walls so many times. So like, let's kind of open
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that up and start us here in terms of like
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what what what is it like?
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How do we great goals make?
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It seems like something you can't really break, but we
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somehow manage to do it.
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Yeah, So if you kind of go back to the
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most common definition of goals, the one that most people
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are using, it really means getting to a specific destination.
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Right.
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We define where we want to get what success means
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to us, and then we work really really hard to
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get there. And then two things might happen. Either you
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don't get there and you're deeply and happy about that
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and dissatisfied because you feel like you feel or interestingly,
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you get there and you're also disappointed because you thought
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that by getting there, all of a sudden everything would
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be perfect, you'd be happy, you'd get everything you desire,
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and you realize that actually this goal doesn't unlock infinite happiness.
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And then there's maybe another goal now that you can chase.
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So it's this infinite treadmill. We're all on chasing the
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next goal one after the other without ever feeling fulfilled.
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That's really how we manage our goals today. If you
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I loved how you mentioned connecting scientific with them, but
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also antioned philosophical wid because if you go back to
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how scientists approach progress and success, for scientists, success is
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not getting to a specific destination, is just learning something new.
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As long as you've learned something new, this is success.
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And that may not look like what you have predicted
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when we started, right, and this looks like for a scientists,
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like a cycle of experimentation. They ask a question, They're like, Okay,
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what is going on here, Let's formulate the research question,
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let's test it, and then let's see what happens. Right, Well,
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those cycles of growth is really how a lot of
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ancient civilizations and ancient philosophies recommend the way you approach
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human growth as well. Right, It's all fields and cycles
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and circles and seasons. It's never that very linear path
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that is predetermined and that you have to follow with
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specific milestones and goals that are that mean failure if
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you don't reach them. Right, It's about transformation and reinventing yourself.
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So to me, that's the main thing about reinventing our
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relationship to goals is really letting go of this linear
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approach to them and having a more psychical.
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I love that idea too, and it is it is
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something interesting too that you know, I was always when
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I was studying anthropology as a you know, in school
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back in the day, it was like I guess I
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still study it today too, but like, you know, when
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I was formally studying it, you know, I would always
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be intrigued when we would find a group or culture
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or you know, when folks were talking about the syxical
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notion of time versus a linear notion, and like, even
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thinking about that is really interesting when one we kind
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of talk about, you know, time moves forward, right.
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We even used like the idea of progress right when
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you write about in the book too, of this idea of.
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Like progress is a directional or like a kind of
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orientation that we're moving in a certain you know, pathway,
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and like that, like, I think we often don't always
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connect the idea of like time as being linear and
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then also our goals as a thing that like we
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move forward and do x y z blah blah, even
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though like that's one hundred percent how we make it
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to do right and how we think about the.
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Pathway that we're going down.
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But then the right's idea of like seasons is a
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great example there of like we all know what a
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season like, there's four of them, you know, and they
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move and they move our year in a way. And
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like recognizing that idea is super fun. Then that of
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course I'm going to put my nerd hat and be like,
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oh yeah, we can talk about chakras and wheels too,
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and like everything is kind of turning and moving in
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and on itself in cyclical and spiral time, and so
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that is I think a very cool way to help
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us ref rethink that.
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And so I'm curious about this too, because the other.
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Thing that you said here that was was I want
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to think with is like they did when we were
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talking about what scientific you know, thinking is doing, and
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like we talk about what you predict something that will
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happen and make a hypothesis that I'm going to do X,
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and then we're going to see why I result, and
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if we do or don't see it, that's still helpful.
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And this is something that that I've seen too in.
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Terms of you know, publication around kind of pure reviewed
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journal articles that there's like a positivity bias, like I
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want to publish that something happened, meaning there's there's an
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anti negativity bias not that like we don't want to
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say negative result, but we don't want to say something
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nothing happened. But that's totally useful for science too, to
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say we did not find and the change when we
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did X, you know, and like why didn't happen? And
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so even this interesting idea that that like I'm curious
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how we think about this, Like when we say we
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predict the thing, we want to see a kind of
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positive change results, and like we look away from one
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that that feels negative, and so that kind of pushes
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I feel like it builds a bit of that linearity
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right where it's like if I don't see a specific
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type of change that I that I predict I'm going
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to see, then it somehow it doesn't doesn't count.
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Does that Does that work?
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M I love? I love that you're mentioning this because
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you know there's a big movement at the moment in
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science for open science and pre registering studies during your
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study is basically posting your protocol online for everybody to see,
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and then you run the study, and then you can't
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go back and change the pole or what you were
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you were you said you were going to do based
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on the results, which sounds crazy that this is not
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the norm, right, It's not so, so you're forced to
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accept and to publish whatever results you get, whether positive
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or negative, or whatever results you get, you have to
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publish them. And I feel like in the way that
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you manage your goals and the way you design personal experiments,
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which I took about in the book, this is why
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it's so important to define what is the experiment you're
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going to run, and what are the parameters, and to
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stick to it until the end of the experiment, and
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to really withhold judgment until you're done. So, for example,
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if you say that you're going to run an experiment
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of publishing a new podcast episode every week for a
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six months, you can't stop in the middle and say, like, ef,
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I don't know like this and I'm not sure this
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is working and then decide that nothing happened and not
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learn anything from it. I mean, you can, but that
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wouldn't be a very good way or useful way of
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running an experiment. The useful way of doing this is
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you decide what you're going to do, you run the experiment,
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you collect all of that data without any judgment yet,
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and at the end of the experiment, You look and
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you reflect and you ask yourself, Okay, did I like this?
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Did I enjoy it? Was that good? What benefits did
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it bring? Or was that horrible? Maybe I hated every
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secle of it. And that's data too. That's also useful
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for you to learn and to grow and to decide
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what your next experiment is going to be. So you
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can also take some of that new approach to science
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that we have now that is more open and more honest,
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I want to say, and apply that to the way
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you run experiments and your day.
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I love that.
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Actually, yeah, it's because it's we do see like an
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ongoing conversations too, in terms of like a desire for
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more transparency and openness across the board, right, whether it
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is like how we're doing science, whether it's politics, you know,
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whether it's how I'm getting my degree, because it's like
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people love also these kind of more authentic conversations where
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it's like two people talking about their challenges working, getting
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a job, trying to find something out, versus like here's
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the five things you got to do to get your
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resume to have it ready for the you know whatever
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the interview and it's interesting to kind of kind of
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note that like there is this that desire to see
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and like that can be a place also to the
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notions of like kind of personal experimentation of of what
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I can do with my life, which I think, I
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think is really nice, especially because we're kind of seeing again,
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like we're running up to these these sort of different
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walls now or different kind of limitations of like this
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kind of linear path doesn't quite do it for me, right,
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And like especially you know, we're seeing you know obviously
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AI and things are changing in technology, you know, how
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we are learning, how we're playing and spending time together
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on social media this before, right, and kind of changing
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how we communicate with one another, so that this interesting
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idea of like we can't just keep doing what we've
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always done, right, we have to kind of rethink these pieces,
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and like I mean, I guess to help comcrotize this too. Also,
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like you know, you have a really interesting story also
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that you you know, you you did the tech you
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did the tech pathway right, you kind of found your
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way into the heart of the Google mecha, you know,
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and then realize that things weren't quite working out the
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way you had thought. And so I mean, tell folks,
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if you're not familiar with your story, like a little
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bit about how that happened and how that like kind
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of cracked open the idea of like, wait, let me
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rethink literally how I'm going to be doing my career
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pathway and my life could be.
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So I used to have I used to follow a
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very very linear care pathway. Actually I went to a
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pretty good school. I tried to get good grades, and
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then I got a job at Google. And once I
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found myself there, I discovered that they had an also
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fairly linear way of managing success, really defining it, codifying it,
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and then in a very kind of almost yeah, I
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guess Google is a company made of engineers, right, So
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they had really engineered what success looked like and how
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it worked inside of the company. So you had this
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red brick that was telling you exactly what to do,
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when to do it, what kind of projects to work on,
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what skills to be able to demonstrate, and if you