WEBVTT - How to think like a physicist?

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<v Speaker 1>Andy Daniel, Did you always want to be a paid physicist?

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<v Speaker 2>Definitely not. When I was a kid, I did not

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<v Speaker 2>want to be a physicist.

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<v Speaker 1>Really, you knew what it was, but you knew you

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<v Speaker 1>didn't want to be one.

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<v Speaker 2>I don't think I understood what a scientist was well enough.

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<v Speaker 2>But when I was a kid, I wanted to be

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<v Speaker 2>an explorer. I wanted to get on a ship and

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<v Speaker 2>find some new island and name it after myself.

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<v Speaker 1>You just want to get out of Los Alamos.

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<v Speaker 2>Main purpose here, Yeah, though you can't really take a

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<v Speaker 2>ship out of Los Alamos because it's landlocked. So there

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<v Speaker 2>were some basic problems in my thinking.

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<v Speaker 1>Well, you could take a train and then a ship.

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<v Speaker 1>But don't they say everyone's a physicists, especially little kids.

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<v Speaker 2>Yeah, I think everybody is a scientist because they're curious

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<v Speaker 2>about the world. And in the end I discovered that

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<v Speaker 2>being a physicist it's kind of like being an explorer,

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<v Speaker 2>except instead of discovering new continents, we're trying to discover

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<v Speaker 2>new frontiers of knowledge.

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<v Speaker 1>Instead of surfing waves out there in the sea, you're

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<v Speaker 1>surfing the couch.

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<v Speaker 2>Mostly, I'm clickly clacking my way to new shores of knowledge.

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<v Speaker 1>Just don't get scurvy on your couch.

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<v Speaker 2>I got a bowl of limes here next to me.

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<v Speaker 1>Okay for with the tequila and the margaritas. That's for

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<v Speaker 1>after work, after work work these days? What's the difference. Hi,

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<v Speaker 1>I'm Hori. I'm a cartoonist and the author of Oliver's

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<v Speaker 1>Great Big Universe.

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<v Speaker 2>Hi, I'm Daniel. I'm a particle physicist and a professor

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<v Speaker 2>at UC Irvine, and I want to teach people to

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<v Speaker 2>think like a physicist.

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<v Speaker 1>Wait, I'm confused. If everyone's a physicist, aren't just teaching

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<v Speaker 1>people to think like humans?

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<v Speaker 2>Yeah, basically, I'm done. I can retire. It's after work time, margarita.

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<v Speaker 1>I know, let's get the shots going.

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<v Speaker 2>No, I think everybody does have curiosity. But you know,

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<v Speaker 2>it took us a while to figure out some tips

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<v Speaker 2>and some tricks to effectively extract knowledge from the universe

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<v Speaker 2>rather than just like, you know, making up cute stories

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<v Speaker 2>to satisfy our curiosity.

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<v Speaker 1>Right, it probably took a while to get paid to

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<v Speaker 1>do it too.

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<v Speaker 2>Yeah, that's certainly true. A lot of the big names

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<v Speaker 2>in the history of science were men of leisure, you know,

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<v Speaker 2>operating on their trust funds or daddy's bank account.

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<v Speaker 1>Who do you think was the first professional physicists?

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<v Speaker 2>You know, science as a profession is not actually that old.

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<v Speaker 2>It's something like in the late eighteen hundreds that people

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<v Speaker 2>started to call themselves scientists and get paid to do it.

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<v Speaker 2>There are money to hire people to do this kind

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<v Speaker 2>of research. Until then, it was you know, natural philosophers

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<v Speaker 2>and people just sort of like curious, poking around in

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<v Speaker 2>their own laboratories. Yeah, but scientists as a job is

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<v Speaker 2>not much more than like one hundred years old.

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<v Speaker 1>WHOA. So even the word science is relatively new.

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<v Speaker 2>Yeah, exactly. If you ask like Gaos or Newton or

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<v Speaker 2>leading It or Aristotle, they certainly would not call themselves

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<v Speaker 2>a scientist. That's a new word.

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<v Speaker 1>Or maybe they did it on purpose. They're like science,

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<v Speaker 1>No thanks, it's a new fangled thing that all the

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<v Speaker 1>kids are talking about. I prefer to be a natural philosopher.

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<v Speaker 1>But anyways, welcome to our podcast, Daniel and Jorge Explain

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<v Speaker 1>the Universe, a production of iHeartRadio.

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<v Speaker 2>In which we do our best to demonstrate what it's

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<v Speaker 2>like to think like a physicist. We take a physicist

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<v Speaker 2>approach to dismantling the whole universe, understanding all of its

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<v Speaker 2>little bits, building mental mathematical models to try to explain it,

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<v Speaker 2>asking questions of those models, and then wondering what does

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<v Speaker 2>it all mean anyway?

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<v Speaker 1>Yeah, because, as we talked about before, the universe belongs

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<v Speaker 1>to everyone, and asking questions is everyone's job, but a

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<v Speaker 1>few people get to do it as a career.

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<v Speaker 2>Get to Yes, exactly. It's definitely a treat and a privilege.

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<v Speaker 1>Well, you get paid to do it, I guess, and

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<v Speaker 1>to do that, there's a certain mindset you have to have,

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<v Speaker 1>right in order to be part of the profession.

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<v Speaker 2>Yeah, there definitely is a way of thinking that's sort

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<v Speaker 2>of like a physicist way of thinking. And I see

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<v Speaker 2>this because people who are trained as physicists and then

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<v Speaker 2>go out into the world and work in other areas

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<v Speaker 2>chemistry or engineering or computer science still take with them

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<v Speaker 2>a certain mindset, a certain way of approaching problems, which

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<v Speaker 2>can be really really helpful and useful or also sometimes

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<v Speaker 2>frustrating for their colleagues.

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<v Speaker 1>Yeah, no, I can totally relate. I think that also

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<v Speaker 1>the same is for engineers. You know, anyone who studied

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<v Speaker 1>engineering definitely thinks like an engineer is trying to think

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<v Speaker 1>it a certain way and a certain mindset about tackling

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<v Speaker 1>problems for sure.

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<v Speaker 2>Yeah, absolutely take an engineering approach to cartooning.

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<v Speaker 1>For example, Yeah, whenever I draw a bridge, I mean

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<v Speaker 1>I really put some calculations behind it, why to make

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<v Speaker 1>sure it doesn't fall down?

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<v Speaker 2>Yeah, I know all those cartoons could be injured. I mean,

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<v Speaker 2>think about their families.

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<v Speaker 1>Yeah. I usually build in a safety factor of like

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<v Speaker 1>two or three to every cartoon, just in case. But yeah,

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<v Speaker 1>but professional physicists do think about things in a very

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<v Speaker 1>different way than the rest of us. And so that's

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<v Speaker 1>the question we'll be exploring today. So to the on

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<v Speaker 1>the podcast, we'll be taggling how to think like a physicist?

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<v Speaker 2>And I'm not sure if this should be like an

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<v Speaker 2>instruction manual or like.

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<v Speaker 1>A warning, Oh why what can happen?

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<v Speaker 2>You know, like watch out for these signs that you're

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<v Speaker 2>thinking like a physicist, or like, hey, would you like

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<v Speaker 2>to think like a physicist? Here's steps one, two, five.

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<v Speaker 1>Well, I guess if it was the former, we should

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<v Speaker 1>title the eposite, hard to Not Think like a Physicist?

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<v Speaker 1>How to avoid thinking like a physicist.

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<v Speaker 2>We're going to get into the positives, I'm sure, but

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<v Speaker 2>you know, there is this lore that sometimes physicists oversimplify things.

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<v Speaker 2>They're like, come into a new field, They're like, oh,

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<v Speaker 2>these can just approximate this with a sphere, maybe a

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<v Speaker 2>line on it or whatever. There's this urban legend that

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<v Speaker 2>physicists being too simplistic or the cause of the two

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<v Speaker 2>thousand and eight financial collapse, for example. So you know,

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<v Speaker 2>there are potentially some dangers to applying physics thinking to

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<v Speaker 2>the broader world.

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<v Speaker 1>Daniel, I wonder if you're overestimating how much people think

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<v Speaker 1>about physicists.

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<v Speaker 2>Probably I definitely don't have a clear view of that.

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<v Speaker 1>I mean, I think for an urban legend to exist,

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<v Speaker 1>do you sort of need urban people talking.

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<v Speaker 2>About Maybe that's just an urban legend within physics, maybe

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<v Speaker 2>nobody else.

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<v Speaker 1>It's like a yeah, just have issues.

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<v Speaker 2>We definitely do.

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<v Speaker 1>But it's an interesting question to ask if you're thinking

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<v Speaker 1>about following a career in physics, or wondering what is

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<v Speaker 1>the job entail and what kind of mindset do you

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<v Speaker 1>have to have in order to do it at a

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<v Speaker 1>research university or to become one, or to get a

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<v Speaker 1>degree in.

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<v Speaker 2>It, or if you're just an armchair physicist, if you

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<v Speaker 2>like thinking about the nature of the universe and making

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<v Speaker 2>progress and over the years, maybe while listening to this podcast,

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<v Speaker 2>you've been putting together your own personal mental model of

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<v Speaker 2>the universe, asking questions, trying to click it together, coming

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<v Speaker 2>to a holistic understanding of how things work. In that case,

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<v Speaker 2>you might have picked up a few of the tricks

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<v Speaker 2>of thinking like a physicist.

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<v Speaker 1>Well, as usually, we were wondering how many people out

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<v Speaker 1>there had thought about this question, had maybe wondered what

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<v Speaker 1>it's like to be a professional physicist and what kind

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<v Speaker 1>of mental skills you need to be one.

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<v Speaker 2>Thanks very much to everybody who answers these random questions.

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<v Speaker 2>Love hearing your thoughts. Please don't be shy if you

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<v Speaker 2>want to join the group, just write to me to

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<v Speaker 2>Questions at Danielandjorge dot com.

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<v Speaker 1>So think about it for a second. What do you

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<v Speaker 1>think it takes to think like a physicist? Here's what

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<v Speaker 1>people have to say.

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<v Speaker 3>A physicist must think of small and apply it to

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<v Speaker 3>the infinitely large universe, and that's not easy to do.

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<v Speaker 3>Hence the podcast for the rest of us.

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<v Speaker 4>What if that's an expression? I haven't heard of it before,

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<v Speaker 4>so it's value. I think it probably would refer to

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<v Speaker 4>someone being very practical, someone following the scientific method very dogmatic, accurate.

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<v Speaker 4>But then some theoretical physicists that are a bit wacky

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<v Speaker 4>in what they come up with, so possibly a little

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<v Speaker 4>bit of that too.

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<v Speaker 2>I think like a physicist is to be asking questions

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<v Speaker 2>and be relentless in your quest for an answer. I'd

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<v Speaker 2>say thinking like a physicist means being curious and searching

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<v Speaker 2>for answers through trial and error and experiments.

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<v Speaker 5>This means there's our podcast about physicists, and to do

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<v Speaker 5>it with your cartoonist friend.

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<v Speaker 6>Basically, to think like a physicist means if you discover something,

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<v Speaker 6>you get to really terrible name that doesn't make sense.

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<v Speaker 5>I think it means to contemplate matter and energy and

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<v Speaker 5>their interactions with one another.

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<v Speaker 7>Well, from the episodes that I have listened to so far,

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<v Speaker 7>I would that to think like a physicist means to

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<v Speaker 7>be inquisitive, to try to make connections between different aspects

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<v Speaker 7>facets of life, and wondering why and.

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<v Speaker 2>Trying to.

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<v Speaker 7>Better understand and explain the phenomena we see throughout our

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<v Speaker 7>daily lives.

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<v Speaker 1>All right, I like some of these answers. I guess

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<v Speaker 1>we're done because one of them said, we just need

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<v Speaker 1>to start on a podcast about physics.

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<v Speaker 2>And then give everything you discover a terrible name. These

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<v Speaker 2>are some juicy answers.

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<v Speaker 1>I guess people have been listening to our podcast.

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<v Speaker 2>I love these answers because there's so meta. They tell

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<v Speaker 2>me basically what people have learned from listening to the

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<v Speaker 2>podcast for all these years. It's fantastic.

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<v Speaker 1>Well, hopefully people are thinking a little bit more like scientists,

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<v Speaker 1>like rational thinkers because of this podcast, and also maybe

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<v Speaker 1>learning a little bit more about the universe and how

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<v Speaker 1>it all works down to the atomic level and the

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<v Speaker 1>galactic level.

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<v Speaker 2>Yeah, and not just absorbing facts and little bits of knowledge,

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<v Speaker 2>pieces of information, but also training yourself into how to

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<v Speaker 2>accumulate more information, how to fit those pieces of information together,

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<v Speaker 2>how to think about them. Science is more than just

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<v Speaker 2>what we've learned. It's how we're going to learn more.

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<v Speaker 1>How are we driving the distinction here between physicis and

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<v Speaker 1>just a regular scientist or do you mean how to

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<v Speaker 1>think like a scientist?

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<v Speaker 2>Yeah, it's a great question. I don't know the answer

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<v Speaker 2>to that. I'm probably not even the right person to

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<v Speaker 2>answer the question of how do physicists think because I'm

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<v Speaker 2>stuck in that mindset. I can't really see outside of

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<v Speaker 2>it to understand how other people think. But when I

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<v Speaker 2>mean chemists or biologists or economists, I do notice that

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<v Speaker 2>answer and ask questions in a different way. There's something

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<v Speaker 2>I have more in common with other physicists than I

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<v Speaker 2>have with other scientists. So there's something to it.

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<v Speaker 1>All, right, Well, let's dig into it. What do you

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<v Speaker 1>think is specific about how physicists think.

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<v Speaker 2>I think some of it comes from the fundamental motivation

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<v Speaker 2>and the assumptions that underlie physics. Like the goal is big.

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<v Speaker 2>We want to understand the universe. We want to figure

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<v Speaker 2>it out. And the assumptions are pretty basic. They're like, look,

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<v Speaker 2>the universe is understand a bull, and we can't describe

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<v Speaker 2>it with mathematical laws. We can build a mental model.

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<v Speaker 2>The model should follow those laws, and we can use

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<v Speaker 2>it to like predict the future and to understand the

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<v Speaker 2>nature of the universe. You know, inherent in that is

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<v Speaker 2>that we are simplifying the universe. We're taking all these

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<v Speaker 2>observations and the weaving them together into a story. That's

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<v Speaker 2>what the mathematical model is. We're saying, here's how this works,

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<v Speaker 2>here's what's really happening behind the scene. So there's sort

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<v Speaker 2>of like an ambition there to say, like we can

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<v Speaker 2>describe the basic elements of the universe, whereas, and again

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<v Speaker 2>I'm not an expert in other fields, you know, they

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<v Speaker 2>feel a little bit more zoomed out, so they're not

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<v Speaker 2>always as ambitious about like the fundamental understanding. They're describing

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<v Speaker 2>things as sort of a higher level, which again still

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<v Speaker 2>requires mathematical modeling and great precision. It's not a question

0:11:43.960 --> 0:11:46.800
<v Speaker 2>of like precision or rigors, just a question of like

0:11:46.880 --> 0:11:49.640
<v Speaker 2>the ambition the context of the questions you're asking.

0:11:50.200 --> 0:11:52.640
<v Speaker 1>Well, well, are you saying that other scientists are not

0:11:52.679 --> 0:11:53.400
<v Speaker 1>as ambitious?

0:11:54.920 --> 0:11:58.760
<v Speaker 2>I think maybe philosophically, physics and at least fundamental physics

0:11:58.760 --> 0:12:04.840
<v Speaker 2>and particle physics is asking more ambitious questions than other fields. Yeah,

0:12:05.000 --> 0:12:09.400
<v Speaker 2>I think they have deeper and broader implications again philosophically.

0:12:08.920 --> 0:12:11.120
<v Speaker 1>Right, right, So you think your topic of research is

0:12:11.120 --> 0:12:15.760
<v Speaker 1>more important than other scientists because you're a physicist. I'm

0:12:15.760 --> 0:12:16.959
<v Speaker 1>just saying there might be a little bit of a

0:12:17.480 --> 0:12:18.520
<v Speaker 1>bias here at Daniel.

0:12:18.760 --> 0:12:21.160
<v Speaker 2>No, it's totally reasonable to dig into that. I wouldn't

0:12:21.160 --> 0:12:25.360
<v Speaker 2>say more important. You know, somebody who's developing new techniques

0:12:25.400 --> 0:12:29.000
<v Speaker 2>to develop green energy, for example, they're not answering deep

0:12:29.000 --> 0:12:31.880
<v Speaker 2>and fundamental questions about the nature of reality. But they're

0:12:31.920 --> 0:12:34.680
<v Speaker 2>improving people's lives and maybe saving the planet, so that's

0:12:34.800 --> 0:12:38.199
<v Speaker 2>arguably much more important. But I think in terms of

0:12:38.240 --> 0:12:42.640
<v Speaker 2>the philosophical context of our lives, particle physics and fundamental

0:12:42.679 --> 0:12:46.080
<v Speaker 2>physics is answering those questions. Whether that's important or not

0:12:46.240 --> 0:12:49.000
<v Speaker 2>is totally subjective, you know, whether it has value. Every

0:12:49.080 --> 0:12:52.000
<v Speaker 2>kind of science is answering different kinds of questions, giving

0:12:52.040 --> 0:12:55.880
<v Speaker 2>different kinds of insight into how the universe works. For me,

0:12:55.960 --> 0:12:58.199
<v Speaker 2>at least one of the appeals of fundamental physics are

0:12:58.240 --> 0:13:00.000
<v Speaker 2>these philosophical implications of it.

0:13:00.360 --> 0:13:02.880
<v Speaker 1>Right, Well, I think, you know, most scientists would agree

0:13:02.880 --> 0:13:05.120
<v Speaker 1>that what they're doing is also trying to understand and

0:13:05.160 --> 0:13:07.360
<v Speaker 1>explain the world. I wonder if maybe a lot of

0:13:07.360 --> 0:13:10.199
<v Speaker 1>the difference is just in the topic and the kinds

0:13:10.200 --> 0:13:13.360
<v Speaker 1>of things that you're looking at the scope of it,

0:13:13.840 --> 0:13:16.719
<v Speaker 1>or the kinds of phenomena you're looking at.

0:13:16.880 --> 0:13:19.040
<v Speaker 2>Yeah, I think that everybody is doing the thing they

0:13:19.040 --> 0:13:22.400
<v Speaker 2>think is most interesting and most exciting, and that's very personal.

0:13:22.480 --> 0:13:25.720
<v Speaker 2>Right the person who's like crouching in a rainforest watching

0:13:25.760 --> 0:13:29.200
<v Speaker 2>spiders crawl up twigs for hours and hours a day,

0:13:29.520 --> 0:13:31.559
<v Speaker 2>is deeply fascinated by that and chose to do that

0:13:31.920 --> 0:13:35.440
<v Speaker 2>instead of economics or psychiatry or whatever for a reason.

0:13:35.480 --> 0:13:38.079
<v Speaker 2>And that's totally cool. So you're right, and the choice

0:13:38.080 --> 0:13:40.319
<v Speaker 2>of topic is very, very personal. But I think the

0:13:40.400 --> 0:13:43.080
<v Speaker 2>choice of topic also sometimes leads to a different way

0:13:43.080 --> 0:13:46.040
<v Speaker 2>of thinking. Like I think, because we're trying to ask

0:13:46.120 --> 0:13:49.559
<v Speaker 2>fundamental questions and deep questions about the universe, we feel

0:13:49.559 --> 0:13:52.320
<v Speaker 2>like we can touch onto some sort of mathematical purity,

0:13:52.679 --> 0:13:56.360
<v Speaker 2>that there is maybe mathematics that describes this that we

0:13:56.440 --> 0:13:59.440
<v Speaker 2>can drill down into and reveal, you know, somebody who's

0:13:59.440 --> 0:14:02.560
<v Speaker 2>studying like hurricanes. You know, we don't have any mathematics

0:14:02.600 --> 0:14:05.600
<v Speaker 2>that describes hurricanes. So we can do some simulations, but

0:14:05.720 --> 0:14:07.240
<v Speaker 2>we're sort of at a loss because of all the

0:14:07.320 --> 0:14:10.280
<v Speaker 2>chaos and the details. But when you zoom down into

0:14:10.400 --> 0:14:13.280
<v Speaker 2>the fundamental firmament of the universe, we hope maybe there

0:14:13.320 --> 0:14:15.880
<v Speaker 2>is some mathematics there that can describe what's going on.

0:14:16.000 --> 0:14:18.720
<v Speaker 2>And so that's I think why physicists tend to build

0:14:18.760 --> 0:14:22.640
<v Speaker 2>these mental mathematical models, sometimes too simplified, you know, hence

0:14:22.680 --> 0:14:25.120
<v Speaker 2>the famous spherical cowjoke, which I don't know, maybe that's

0:14:25.120 --> 0:14:26.520
<v Speaker 2>only a famous joke within physics.

0:14:26.560 --> 0:14:31.239
<v Speaker 1>You tell me, I've never heard of that before. But

0:14:31.440 --> 0:14:33.160
<v Speaker 1>you know, I think all scientists would say that what

0:14:33.160 --> 0:14:35.800
<v Speaker 1>they're doing is fundamental as well. Like, if you're studying spiders,

0:14:35.840 --> 0:14:39.160
<v Speaker 1>you're probably thinking about the different ways that life can form,

0:14:39.360 --> 0:14:42.400
<v Speaker 1>or the different factors that go into creating life and

0:14:42.480 --> 0:14:45.600
<v Speaker 1>the factors that shape live That seems pretty fundamental as well. Yeah,

0:14:45.640 --> 0:14:46.320
<v Speaker 1>and ambitious.

0:14:46.520 --> 0:14:48.560
<v Speaker 2>M h. And if anything, I think you probably have

0:14:48.600 --> 0:14:51.280
<v Speaker 2>a lot more insight into this than I do, or

0:14:51.280 --> 0:14:54.120
<v Speaker 2>than most people, because you interact with so many different

0:14:54.200 --> 0:14:57.760
<v Speaker 2>kinds of scientists and obviously you've been spending a lot

0:14:57.760 --> 0:15:01.000
<v Speaker 2>of time learning about physics and decoding the brains of

0:15:01.080 --> 0:15:04.400
<v Speaker 2>physicists but also other scientists, And so from your perspective,

0:15:04.400 --> 0:15:06.560
<v Speaker 2>I'd be very curious to hear, like, do you think

0:15:06.600 --> 0:15:09.480
<v Speaker 2>physicists think differently? Is the mind of physicists trained at

0:15:09.480 --> 0:15:12.200
<v Speaker 2>different skills? Do they take a different approach or all

0:15:12.240 --> 0:15:13.760
<v Speaker 2>scientists just one category?

0:15:13.800 --> 0:15:17.680
<v Speaker 1>For you? You know, I think that if you're a scientist,

0:15:17.720 --> 0:15:19.600
<v Speaker 1>you're probably trying to figure out how the world and

0:15:19.680 --> 0:15:24.040
<v Speaker 1>the universe works. You're just asking questions about different phenomena

0:15:24.120 --> 0:15:27.400
<v Speaker 1>in it. You know, if you're someone who studies hurricanes.

0:15:27.400 --> 0:15:33.800
<v Speaker 1>You're trying to understand how certain physical processes work and

0:15:33.840 --> 0:15:37.200
<v Speaker 1>how they can come together to create large effects. For example,

0:15:37.200 --> 0:15:40.480
<v Speaker 1>that seems pretty fundamental as well or as fundamental as

0:15:40.520 --> 0:15:42.840
<v Speaker 1>asking you know what an atom is made of of?

0:15:43.160 --> 0:15:46.360
<v Speaker 2>Yeah, can spiders come together to make hurricanes? Wouldn't that

0:15:46.440 --> 0:15:48.440
<v Speaker 2>be awesome? And shouldn't we pitch that show to the

0:15:48.480 --> 0:15:49.280
<v Speaker 2>Discovery Channel?

0:15:49.480 --> 0:15:50.600
<v Speaker 1>Spider NATO's.

0:15:51.920 --> 0:15:53.120
<v Speaker 2>Spider Cane.

0:15:54.600 --> 0:15:58.400
<v Speaker 1>So I don't know, Sorry, science Spider NATO's sounds like

0:15:58.440 --> 0:15:58.840
<v Speaker 1>a winner.

0:15:59.320 --> 0:16:02.120
<v Speaker 2>Yeah, well, I can't tell you whether it's fundamentally different

0:16:02.120 --> 0:16:04.920
<v Speaker 2>from the way other scientists think, because I'm not other scientists.

0:16:05.040 --> 0:16:07.160
<v Speaker 2>Maybe you can comment, but I can try to keep

0:16:07.160 --> 0:16:08.560
<v Speaker 2>you a little bit of an insight into the way

0:16:08.600 --> 0:16:11.320
<v Speaker 2>I approach a problem with the way I think about problems,

0:16:11.720 --> 0:16:15.120
<v Speaker 2>and that's this reliance on building a model. You know.

0:16:15.200 --> 0:16:17.160
<v Speaker 2>I look at a science problem like where is that

0:16:17.200 --> 0:16:19.240
<v Speaker 2>ball going to land after it comes off the bat?

0:16:19.640 --> 0:16:22.000
<v Speaker 2>Try to predict that? And I think, well, to get

0:16:22.040 --> 0:16:24.560
<v Speaker 2>that exactly right is way too complicated, And there's so

0:16:24.640 --> 0:16:27.280
<v Speaker 2>many factors involved. There's the wind speed, there's that bird

0:16:27.320 --> 0:16:30.120
<v Speaker 2>flying by, there's tufts in the air, et cetera, and

0:16:30.200 --> 0:16:32.360
<v Speaker 2>so I build a simpler model of the universe. I say,

0:16:32.480 --> 0:16:35.040
<v Speaker 2>toss out the real universe. Can we come up with

0:16:35.120 --> 0:16:37.920
<v Speaker 2>a simpler version of the universe and ask the question

0:16:38.040 --> 0:16:40.080
<v Speaker 2>in that universe, but build a model in such a

0:16:40.120 --> 0:16:42.120
<v Speaker 2>way that the answer in the simpler universe is still

0:16:42.200 --> 0:16:45.960
<v Speaker 2>relevant to reality. So can we extract the crucial details

0:16:46.000 --> 0:16:48.760
<v Speaker 2>of the problem, put those into our model, and then

0:16:48.880 --> 0:16:50.800
<v Speaker 2>use that to answer the question. So you know, you

0:16:50.840 --> 0:16:52.720
<v Speaker 2>don't care, for example, about the color of the ball,

0:16:52.800 --> 0:16:54.640
<v Speaker 2>you don't care whether some kid in the stand is

0:16:54.640 --> 0:16:57.960
<v Speaker 2>eating ice cream. None of these details about glorious reality

0:16:58.000 --> 0:17:00.640
<v Speaker 2>matter to answering this question. So you build the simpler

0:17:00.680 --> 0:17:03.520
<v Speaker 2>model specific to that question because it's good at answering

0:17:03.520 --> 0:17:06.199
<v Speaker 2>that question, not every other question. And you use that

0:17:06.240 --> 0:17:08.960
<v Speaker 2>to answer the question. And you know, you can argue

0:17:08.960 --> 0:17:11.280
<v Speaker 2>philosophically like is that model real, what does it mean

0:17:11.320 --> 0:17:13.320
<v Speaker 2>about the universe if it works, et cetera, et cetera.

0:17:13.359 --> 0:17:15.879
<v Speaker 2>But that's sort of to me, the core of thinking

0:17:15.960 --> 0:17:18.480
<v Speaker 2>like a physicist is building a little mental model and

0:17:18.480 --> 0:17:20.160
<v Speaker 2>then using that to answer your questions.

0:17:20.280 --> 0:17:23.399
<v Speaker 1>Yeah, I think you're basically describing what any scientist does.

0:17:23.600 --> 0:17:26.679
<v Speaker 1>You know, chemists, biologists, they all work off models. I

0:17:26.680 --> 0:17:29.440
<v Speaker 1>mean probably the word model is the most used word

0:17:30.000 --> 0:17:33.800
<v Speaker 1>in all of science. Yeah, you know, biologists make models

0:17:33.840 --> 0:17:39.199
<v Speaker 1>about evolution, about gene interactions, about how molecules interact, or

0:17:39.240 --> 0:17:42.000
<v Speaker 1>how a species propagated, and things like that. But I

0:17:42.080 --> 0:17:43.840
<v Speaker 1>wonder if the difference with you is that you're making

0:17:43.880 --> 0:17:48.400
<v Speaker 1>models about the physical world or about baseballs, for example,

0:17:48.600 --> 0:17:49.520
<v Speaker 1>and not spiders.

0:17:51.600 --> 0:17:53.919
<v Speaker 2>Spiders are just way too complicated. There's no way for

0:17:53.960 --> 0:17:56.040
<v Speaker 2>me to build a model of a spider. I have

0:17:56.040 --> 0:18:00.440
<v Speaker 2>no idea exactly, and I know how to make the

0:18:00.480 --> 0:18:03.159
<v Speaker 2>approximation so that I can describe a baseball. I know

0:18:03.200 --> 0:18:06.760
<v Speaker 2>what to ignore. Maybe that's just my physics intuition, but

0:18:06.800 --> 0:18:08.280
<v Speaker 2>I don't know how to do that for a spider,

0:18:08.359 --> 0:18:10.480
<v Speaker 2>and I want to push back a little bit. I

0:18:10.520 --> 0:18:13.600
<v Speaker 2>do think there's a difference between the models built by

0:18:13.720 --> 0:18:17.280
<v Speaker 2>physicists and those built biologists, for example. I mean, in biology,

0:18:17.400 --> 0:18:21.240
<v Speaker 2>we know that every model we build is effective. It's

0:18:21.240 --> 0:18:26.680
<v Speaker 2>not fundamental. It's describing some emerging phenomenon like butterflies or spiders.

0:18:26.680 --> 0:18:30.240
<v Speaker 2>Something we know is not an inherent object in the universe,

0:18:30.280 --> 0:18:33.360
<v Speaker 2>but made out of those bits. It comes together through

0:18:33.359 --> 0:18:37.439
<v Speaker 2>a special arrangement. So biology isn't describing something inherent to

0:18:37.480 --> 0:18:41.280
<v Speaker 2>the universe. It's just approximately describing how things work during

0:18:41.320 --> 0:18:45.040
<v Speaker 2>special conditions where like spiders and butterflies happen to emerge

0:18:45.040 --> 0:18:47.399
<v Speaker 2>because they don't always right. There's a long time in

0:18:47.400 --> 0:18:50.720
<v Speaker 2>the universe without spiders and butterflies, and so those rules

0:18:50.760 --> 0:18:54.080
<v Speaker 2>don't apply in those scenarios. But physics is trying to

0:18:54.119 --> 0:18:58.080
<v Speaker 2>figure out the fundamental laws, those that always apply in

0:18:58.200 --> 0:19:02.919
<v Speaker 2>all circumstances that are inherent to the universe. And that

0:19:03.040 --> 0:19:06.160
<v Speaker 2>difference in goal, I think leads to a different way

0:19:06.160 --> 0:19:09.000
<v Speaker 2>of thinking, you know, good or bad. It leads to

0:19:09.040 --> 0:19:12.480
<v Speaker 2>a hubrist that we can describe anything with simple laws,

0:19:12.520 --> 0:19:15.920
<v Speaker 2>and it leads to different approaches and in different scientific culture,

0:19:16.000 --> 0:19:19.320
<v Speaker 2>so that physicists are kind of recognizable to others and

0:19:19.400 --> 0:19:20.680
<v Speaker 2>also to each other.

0:19:21.480 --> 0:19:24.280
<v Speaker 1>Well, you're married to a biologist, how does your way

0:19:24.320 --> 0:19:26.880
<v Speaker 1>of thinking different from your spouses?

0:19:27.040 --> 0:19:29.480
<v Speaker 2>Yeah, I think something that's different in between the way

0:19:29.520 --> 0:19:31.679
<v Speaker 2>that I think about things and the way biologists like

0:19:31.680 --> 0:19:34.000
<v Speaker 2>my wife think about things is we're definitely much more

0:19:34.000 --> 0:19:38.160
<v Speaker 2>focused on questions of like uncertainty and making things quantitative

0:19:39.000 --> 0:19:41.760
<v Speaker 2>in order to try to extract some knowledge. Sometimes the

0:19:41.840 --> 0:19:45.320
<v Speaker 2>things we're dealing with are abstract or indirect. You know,

0:19:45.320 --> 0:19:47.800
<v Speaker 2>we're talking about tiny particles or things we can't ever

0:19:47.880 --> 0:19:51.520
<v Speaker 2>see or even struggle to visualize. And so to help

0:19:51.640 --> 0:19:55.080
<v Speaker 2>us guide our thinking, we rely really heavily on the uncertainty.

0:19:55.160 --> 0:19:56.960
<v Speaker 2>How well do we know this? What can we say

0:19:57.000 --> 0:19:59.520
<v Speaker 2>about this? Because we don't have much intuition, we can't

0:19:59.560 --> 0:20:01.880
<v Speaker 2>like always got check our answers and say, is that

0:20:01.960 --> 0:20:04.679
<v Speaker 2>reasonable that the top quark lives for ten to the

0:20:04.720 --> 0:20:07.840
<v Speaker 2>minus twenty three seconds? I mean, you can't see that anyway.

0:20:08.600 --> 0:20:10.600
<v Speaker 2>Whereas you know, my wife she can look at stuff

0:20:10.600 --> 0:20:12.600
<v Speaker 2>and oh is it growing? And did we get this right?

0:20:13.119 --> 0:20:16.200
<v Speaker 2>Is this virus killing that bacteria? Is somebody's got health

0:20:16.200 --> 0:20:18.760
<v Speaker 2>improving when they eat more chia seeds, this kind of stuff.

0:20:19.280 --> 0:20:21.359
<v Speaker 1>But she works with models as well, right, Her.

0:20:21.280 --> 0:20:23.720
<v Speaker 2>Grad students are really good looking. Yes, they're like models.

0:20:25.200 --> 0:20:28.320
<v Speaker 1>Yeah, yeah, well in comparison to physicists, I'm sure.

0:20:28.400 --> 0:20:32.680
<v Speaker 2>Ooh, you're right though, that models is a very abused word,

0:20:32.800 --> 0:20:35.040
<v Speaker 2>Like I also work in the machine learning community, and

0:20:35.080 --> 0:20:37.600
<v Speaker 2>their model means to make very very different than a

0:20:37.640 --> 0:20:40.440
<v Speaker 2>model in physics, than a model in fashion, and so

0:20:40.480 --> 0:20:42.119
<v Speaker 2>it's a very generic word unfortunately.

0:20:43.600 --> 0:20:45.720
<v Speaker 1>But you think that maybe it's something to do with

0:20:45.800 --> 0:20:47.720
<v Speaker 1>the way that you look at the world and you

0:20:47.800 --> 0:20:49.719
<v Speaker 1>formulate models. But I guess I'm trying to say that

0:20:49.760 --> 0:20:52.480
<v Speaker 1>I think that's what all scientists do, right, across different fields.

0:20:52.720 --> 0:20:54.840
<v Speaker 2>Yeah, so maybe physicists have more in common with other

0:20:54.920 --> 0:20:57.000
<v Speaker 2>scientists than I ever imagined. Happy to.

0:20:58.720 --> 0:21:00.920
<v Speaker 1>Sounds like you need to talk to people outside your

0:21:00.960 --> 0:21:05.639
<v Speaker 1>department a little more, baby, besides your spouse, horten to.

0:21:05.640 --> 0:21:08.000
<v Speaker 1>You interact with the economists or chemists.

0:21:08.000 --> 0:21:10.639
<v Speaker 2>Economists very rarely, only if I run into them at

0:21:10.640 --> 0:21:15.399
<v Speaker 2>the park. Chemists and computer scientists and engineers much more common.

0:21:15.440 --> 0:21:18.439
<v Speaker 2>We sometimes have problems in common, you know, working on

0:21:18.600 --> 0:21:21.280
<v Speaker 2>electronics for a new technology we want to bury in

0:21:21.280 --> 0:21:24.000
<v Speaker 2>the ice in Antarctica, we need to understand the engineering

0:21:24.480 --> 0:21:27.959
<v Speaker 2>details of it, or thinking about how to apply machine

0:21:28.040 --> 0:21:31.359
<v Speaker 2>learning techniques we've developed for neutron stars to the problem

0:21:31.400 --> 0:21:35.320
<v Speaker 2>of like predicting organic synthesis, these kind of things. So, yeah,

0:21:35.440 --> 0:21:38.240
<v Speaker 2>definitely interact with the more physical science and engineering people

0:21:38.520 --> 0:21:41.280
<v Speaker 2>more often than like psychiatrists. But I also talk to

0:21:41.320 --> 0:21:43.640
<v Speaker 2>philosophers quite a bit. I don't know if they qualify

0:21:43.680 --> 0:21:45.280
<v Speaker 2>as scientists.

0:21:44.640 --> 0:21:47.800
<v Speaker 1>Do they I think they're not usually They're not in

0:21:47.840 --> 0:21:49.840
<v Speaker 1>the same department for a reason, isn't it.

0:21:49.840 --> 0:21:53.040
<v Speaker 2>It's fascinating though, Actually people in the philosophy of physics

0:21:53.080 --> 0:21:56.440
<v Speaker 2>department here, they all have their PhDs in physics rather

0:21:56.480 --> 0:21:57.520
<v Speaker 2>than in philosophy.

0:21:57.680 --> 0:22:01.719
<v Speaker 1>Well, so they're physicists who have alosophy degree in the

0:22:01.760 --> 0:22:04.160
<v Speaker 1>philosophy of science physics.

0:22:05.080 --> 0:22:08.440
<v Speaker 2>That a doctor of philosophy of physicists, but now they're

0:22:08.520 --> 0:22:10.680
<v Speaker 2>professors in philosophy of physics.

0:22:12.680 --> 0:22:15.840
<v Speaker 1>It sounds like what is it the snake finally ate

0:22:15.880 --> 0:22:20.359
<v Speaker 1>its tale. It is interesting to think about how people

0:22:20.359 --> 0:22:23.080
<v Speaker 1>who are paid to do physics in particular think and

0:22:23.400 --> 0:22:26.080
<v Speaker 1>what kinds of what makes them a tick I guess,

0:22:26.119 --> 0:22:28.800
<v Speaker 1>and how does that color how they see the world,

0:22:29.320 --> 0:22:31.679
<v Speaker 1>and so to get more insight into that, Danielle, you

0:22:31.680 --> 0:22:35.040
<v Speaker 1>interviewed a couple of physicists and one ex physicists.

0:22:35.119 --> 0:22:37.920
<v Speaker 2>Yeah, that's right. I talked to one physicist who's made

0:22:37.920 --> 0:22:41.400
<v Speaker 2>it her mission to explain to people how physicists think

0:22:41.480 --> 0:22:46.480
<v Speaker 2>about uncertainty, and another whose job is to guide physicists

0:22:46.520 --> 0:22:50.040
<v Speaker 2>into the real world to find positions outside of academic

0:22:50.080 --> 0:22:51.080
<v Speaker 2>physics and research.

0:22:51.480 --> 0:22:53.760
<v Speaker 1>Well, it sounds like these are sort of like physics

0:22:53.800 --> 0:22:56.879
<v Speaker 1>translators or physics counselors.

0:22:59.720 --> 0:23:03.480
<v Speaker 2>Yeah, exactly, trying to bridge the gap between physicists and

0:23:03.640 --> 0:23:04.639
<v Speaker 2>actual human beings.

0:23:04.680 --> 0:23:06.080
<v Speaker 1>All right, well, when we come back, we'll listen to

0:23:06.200 --> 0:23:11.000
<v Speaker 1>Daniel talking to two physicists whose jobs it is to

0:23:11.040 --> 0:23:14.479
<v Speaker 1>translate what physicists think and do to the rest of

0:23:14.560 --> 0:23:17.760
<v Speaker 1>the universe. So we'll dig into that, but first let's

0:23:17.760 --> 0:23:18.760
<v Speaker 1>take a quick break.

0:23:31.320 --> 0:23:31.480
<v Speaker 8>Bar.

0:23:31.520 --> 0:23:34.520
<v Speaker 1>We're asking the question how to think like a physicist

0:23:35.040 --> 0:23:37.359
<v Speaker 1>and apparently that involves talking to more.

0:23:37.240 --> 0:23:40.840
<v Speaker 2>Physicists group think like a physicist?

0:23:44.240 --> 0:23:46.280
<v Speaker 1>All right, well, you got to interview you too interesting

0:23:46.320 --> 0:23:50.520
<v Speaker 1>people here, Daniel. First one is doctor Jen Kyle. What

0:23:50.600 --> 0:23:51.359
<v Speaker 1>does Jen Kyle do?

0:23:51.800 --> 0:23:55.240
<v Speaker 2>Jen Kyle is a theoretical physicist, but she also runs

0:23:55.320 --> 0:23:58.520
<v Speaker 2>the YouTube channel Think like a Physicist, where she tries

0:23:58.560 --> 0:24:00.920
<v Speaker 2>to explain to you how do you use the techniques

0:24:00.920 --> 0:24:03.480
<v Speaker 2>and tricks of physics to think about the world and

0:24:03.640 --> 0:24:06.840
<v Speaker 2>also to decode science results so you can get an

0:24:06.920 --> 0:24:10.399
<v Speaker 2>understanding for whether that newsflash you just read about black

0:24:10.440 --> 0:24:12.080
<v Speaker 2>holes is real or not?

0:24:12.520 --> 0:24:14.320
<v Speaker 1>And did she talk to non physicists to figure out

0:24:14.359 --> 0:24:17.160
<v Speaker 1>if a physicists thinking of unique way.

0:24:18.200 --> 0:24:21.119
<v Speaker 2>Through her YouTube channel? So yeah, via the comments section.

0:24:21.520 --> 0:24:25.560
<v Speaker 1>Oh boy, and we all know how productive. Those can be.

0:24:26.880 --> 0:24:29.480
<v Speaker 2>Great insights in the comment section as always.

0:24:29.680 --> 0:24:32.800
<v Speaker 1>All right, well, here's Daniels interview with particle physicists and

0:24:32.960 --> 0:24:34.479
<v Speaker 1>YouTuber Jen Kyle.

0:24:38.720 --> 0:24:42.880
<v Speaker 2>So it's my pleasure to introduce the podcast doctor Jen Kyle. Jen,

0:24:42.920 --> 0:24:44.359
<v Speaker 2>thanks very much for joining us today.

0:24:44.480 --> 0:24:45.800
<v Speaker 9>Hi, great to be here.

0:24:46.840 --> 0:24:49.879
<v Speaker 2>Great. Tell us a little bit about yourself. What's your

0:24:49.880 --> 0:24:52.120
<v Speaker 2>background with your training? What are you up to now?

0:24:52.520 --> 0:24:52.800
<v Speaker 9>Ah?

0:24:52.840 --> 0:24:59.800
<v Speaker 5>Well, I'm a theoretical particle physicist. I've done mostly work

0:25:00.359 --> 0:25:03.720
<v Speaker 5>beyond the standard model physics. I've looked at some things

0:25:03.720 --> 0:25:10.320
<v Speaker 5>on dark matter and possible new theories of flavor in

0:25:10.359 --> 0:25:14.560
<v Speaker 5>the Cork and Lepton sectors, and I basically dabbled in

0:25:14.680 --> 0:25:16.320
<v Speaker 5>physics beyond what we know now.

0:25:16.720 --> 0:25:20.639
<v Speaker 2>Great, so you are definitely a trained and practicing physicist.

0:25:20.760 --> 0:25:22.919
<v Speaker 2>So tell me what does it mean to you to

0:25:23.200 --> 0:25:26.679
<v Speaker 2>think like a physicist? Can you remember learning how to

0:25:26.760 --> 0:25:28.920
<v Speaker 2>do that? Can you compare the way you think now

0:25:28.960 --> 0:25:31.479
<v Speaker 2>to the way you thought before you went to grad school?

0:25:31.600 --> 0:25:33.600
<v Speaker 2>What does it mean to think like a physicist?

0:25:34.960 --> 0:25:38.800
<v Speaker 5>I would definitely say it was not something that one

0:25:38.920 --> 0:25:42.200
<v Speaker 5>learns in one day. It's more of a practice that

0:25:43.600 --> 0:25:47.560
<v Speaker 5>you learn over many years. And I would say that

0:25:48.240 --> 0:25:54.320
<v Speaker 5>a large part of thinking like a physicist is knowing

0:25:54.359 --> 0:25:59.080
<v Speaker 5>how to draw conclusions from the universe and observations that

0:25:59.119 --> 0:26:02.959
<v Speaker 5>we make of it, but also always keeping in mind

0:26:03.200 --> 0:26:07.960
<v Speaker 5>how uncertain those conclusions that we draw from our observations

0:26:07.960 --> 0:26:08.760
<v Speaker 5>can possibly be.

0:26:09.920 --> 0:26:12.320
<v Speaker 2>What do you mean uncertain, Like we have a hunch

0:26:12.359 --> 0:26:14.480
<v Speaker 2>and we're not sure. H we don't have enough information,

0:26:14.800 --> 0:26:17.120
<v Speaker 2>or we could be confused. What do you mean by.

0:26:17.119 --> 0:26:23.240
<v Speaker 5>Uncertain Well, basically, we draw conclusions about the universe from

0:26:23.600 --> 0:26:28.119
<v Speaker 5>making observations and making measurements. So let's say that we

0:26:28.200 --> 0:26:31.560
<v Speaker 5>have some amazing new idea that someone has come up with,

0:26:31.680 --> 0:26:36.160
<v Speaker 5>but it hasn't been tested. It will make predictions about

0:26:36.359 --> 0:26:40.160
<v Speaker 5>the universe, and oftentimes these are predictions about the values

0:26:40.200 --> 0:26:43.160
<v Speaker 5>of certain quantities that we can measure, like the lifetime

0:26:43.160 --> 0:26:46.440
<v Speaker 5>of a particle or the rate of a certain process

0:26:46.480 --> 0:26:52.120
<v Speaker 5>that happens at the large Hadron collider. And we want

0:26:52.160 --> 0:26:55.560
<v Speaker 5>to test this new amazing hypothesis, so we go and

0:26:55.600 --> 0:26:56.879
<v Speaker 5>measure those quantities.

0:26:57.840 --> 0:26:59.159
<v Speaker 9>And when we measure those.

0:26:59.080 --> 0:27:05.840
<v Speaker 5>Quantities, we use experimental apparatuses and techniques, but it's not

0:27:06.000 --> 0:27:10.560
<v Speaker 5>possible to ever have a perfect experiment. Whenever you get

0:27:10.640 --> 0:27:12.760
<v Speaker 5>a measured value of a quantity, it's always going to

0:27:12.800 --> 0:27:15.200
<v Speaker 5>differ at least a little bit from the true value

0:27:15.240 --> 0:27:16.959
<v Speaker 5>of the quantity that you're trying to measure. So if

0:27:16.960 --> 0:27:19.879
<v Speaker 5>you try to measure the electron mass, you will get

0:27:20.240 --> 0:27:22.280
<v Speaker 5>a measured value of the electron mass, but it's not

0:27:22.320 --> 0:27:24.800
<v Speaker 5>going to be exactly the true value of the electron mass.

0:27:25.040 --> 0:27:27.000
<v Speaker 2>So let's make a little bit more concrete instead of

0:27:27.040 --> 0:27:29.760
<v Speaker 2>thinking about particle physics. Let's say somebody gives me a

0:27:29.800 --> 0:27:32.840
<v Speaker 2>coin and I have a theory that this coin is

0:27:32.880 --> 0:27:36.199
<v Speaker 2>not fair, that it's going to favor heads right sixty

0:27:36.240 --> 0:27:38.760
<v Speaker 2>six percent or something, and then I can do an

0:27:38.760 --> 0:27:41.240
<v Speaker 2>experiment to see, well, is it a fair coin by

0:27:41.240 --> 0:27:44.360
<v Speaker 2>flipping it right five hundred times. So I think you're

0:27:44.400 --> 0:27:47.520
<v Speaker 2>saying that there's uncertainty because even if I flip it

0:27:47.600 --> 0:27:51.160
<v Speaker 2>a thousand times, I'm never going to know precisely what

0:27:51.240 --> 0:27:54.320
<v Speaker 2>the real probability is because I'm not flipping an infinite

0:27:54.400 --> 0:27:56.760
<v Speaker 2>number of times. There's always some randomness. Is that what

0:27:56.800 --> 0:28:02.359
<v Speaker 2>you're saying exactly? Okay, So there's uncertainty in our measurements

0:28:02.480 --> 0:28:05.360
<v Speaker 2>because we don't take infinitely long experiments and we don't

0:28:05.359 --> 0:28:08.240
<v Speaker 2>have infinite amounts of data. What are some other ways

0:28:08.240 --> 0:28:11.480
<v Speaker 2>that we can be wrong or uncertain about our conclusions.

0:28:12.920 --> 0:28:16.080
<v Speaker 5>Well, there are lots of ways that error can sneak

0:28:16.119 --> 0:28:22.880
<v Speaker 5>into measurements. For example, we make measurements using some kind

0:28:22.880 --> 0:28:25.040
<v Speaker 5>of experimental measurement apparatus.

0:28:25.280 --> 0:28:27.520
<v Speaker 9>So, for example, let's say if.

0:28:27.359 --> 0:28:31.239
<v Speaker 5>We're trying to measure any quantity, we're using some kind

0:28:31.280 --> 0:28:35.960
<v Speaker 5>of experimental apparatus to do it, and that apparatus is

0:28:36.000 --> 0:28:39.040
<v Speaker 5>going to have a finite resolution of some kind. So

0:28:39.080 --> 0:28:43.320
<v Speaker 5>for example, let's say you're trying to measure the size of.

0:28:43.120 --> 0:28:46.480
<v Speaker 9>An object in a room. You use a ruler, and

0:28:46.760 --> 0:28:47.640
<v Speaker 9>that ruler.

0:28:47.360 --> 0:28:51.040
<v Speaker 5>Has a finite gradation on it. You can't see down

0:28:51.080 --> 0:28:55.400
<v Speaker 5>to the micron size using a ruler, so there's automatically

0:28:55.440 --> 0:28:58.440
<v Speaker 5>some level of uncertainty that's going to come in because

0:28:58.440 --> 0:29:05.040
<v Speaker 5>of effects like that. You may also for very complicated measurements, like,

0:29:05.640 --> 0:29:07.920
<v Speaker 5>for example, if you're trying to measure a cross section

0:29:08.000 --> 0:29:13.320
<v Speaker 5>at the large hadron collider, you have very complicated measuring

0:29:13.520 --> 0:29:18.160
<v Speaker 5>devices and you have to simulate various parts of the

0:29:18.320 --> 0:29:20.360
<v Speaker 5>not only the physics that you're trying to understand, but

0:29:20.440 --> 0:29:26.000
<v Speaker 5>the device, and those simulations will never match up exactly

0:29:26.080 --> 0:29:27.000
<v Speaker 5>well with reality.

0:29:27.400 --> 0:29:29.640
<v Speaker 2>So I think what you're saying is that sometimes to

0:29:29.720 --> 0:29:32.440
<v Speaker 2>do these experiments, we have to use devices we don't

0:29:32.440 --> 0:29:35.840
<v Speaker 2>even really understand exactly how they work. Like if I'm

0:29:35.880 --> 0:29:39.040
<v Speaker 2>measuring an electron the lartadron collider, and I have some

0:29:39.240 --> 0:29:42.800
<v Speaker 2>device to measure an electrons energy, it's complicated to measure

0:29:42.800 --> 0:29:45.120
<v Speaker 2>an electrons energy, and I don't exactly know what happens

0:29:45.120 --> 0:29:47.600
<v Speaker 2>when an electron slams into a block of copper and

0:29:47.680 --> 0:29:51.280
<v Speaker 2>creates a huge shower of other particles. It's complicated physics,

0:29:51.320 --> 0:29:53.960
<v Speaker 2>and I could be wrong about what's going on in

0:29:53.960 --> 0:29:57.520
<v Speaker 2>my own experimental device that I built and designed. Right.

0:29:57.600 --> 0:30:00.680
<v Speaker 5>Yes, in fact, we don't entirely understan stand our own

0:30:00.720 --> 0:30:04.520
<v Speaker 5>measuring devices perfectly, so we have to model them and

0:30:04.560 --> 0:30:08.600
<v Speaker 5>simulate them, and sometimes compare those simulations to data in

0:30:08.680 --> 0:30:12.200
<v Speaker 5>order to current to improve those simulations and get a

0:30:12.240 --> 0:30:14.720
<v Speaker 5>better measurement of whatever it is we're trying to measure.

0:30:15.320 --> 0:30:17.960
<v Speaker 2>Right, So, like back to the coin example. You know

0:30:18.040 --> 0:30:19.840
<v Speaker 2>it's easy to look at a coin and say, oh

0:30:19.840 --> 0:30:22.680
<v Speaker 2>it's heads or oh it's tails, But say it was harder, right,

0:30:22.720 --> 0:30:25.160
<v Speaker 2>Say I couldn't just look at the coin. I needed

0:30:25.160 --> 0:30:27.600
<v Speaker 2>to have some little device that told me if it

0:30:27.600 --> 0:30:29.600
<v Speaker 2>was heads or tails, and that device I didn't really

0:30:29.640 --> 0:30:31.920
<v Speaker 2>know how it worked, and I wasn't always sure it

0:30:31.960 --> 0:30:35.560
<v Speaker 2>was correct. That would lead some like uncertainty into my measurement, right,

0:30:35.600 --> 0:30:38.560
<v Speaker 2>because it could be wrong, or I could think that

0:30:38.640 --> 0:30:41.240
<v Speaker 2>it's correct, but it's it's incorrect in some other ways.

0:30:41.600 --> 0:30:44.480
<v Speaker 5>Yes, and it might be using some pattern recognition software

0:30:44.520 --> 0:30:48.280
<v Speaker 5>that doesn't handle like certain light levels very well or

0:30:48.280 --> 0:30:48.960
<v Speaker 5>something like that.

0:30:49.040 --> 0:30:50.920
<v Speaker 9>So, yeah, it could make a mistake every.

0:30:50.720 --> 0:30:52.400
<v Speaker 5>Once in a while until you you've got heads, when

0:30:52.440 --> 0:30:54.000
<v Speaker 5>you've got tails or vice versa.

0:30:54.160 --> 0:30:57.200
<v Speaker 2>Yeah, And so in physics, we're very quantitative about this, right,

0:30:57.400 --> 0:30:59.880
<v Speaker 2>We're very specific when we measure something. We say, oh,

0:31:00.120 --> 0:31:02.800
<v Speaker 2>is a two percent chance we've been wrong, or a

0:31:02.920 --> 0:31:05.720
<v Speaker 2>zero point zer zer zer one percent chance we're wrong.

0:31:06.080 --> 0:31:08.480
<v Speaker 2>Why are we such sticklers about this in physics? Why

0:31:08.480 --> 0:31:12.480
<v Speaker 2>are we such nerds about measuring precisely how wrong we

0:31:12.560 --> 0:31:13.920
<v Speaker 2>might be in physics? What do you think?

0:31:14.960 --> 0:31:15.240
<v Speaker 9>Well?

0:31:15.320 --> 0:31:18.960
<v Speaker 5>I think that part of it is that physics was

0:31:19.000 --> 0:31:21.760
<v Speaker 5>one of the first fields to do a lot of measurements.

0:31:23.120 --> 0:31:26.720
<v Speaker 5>So if you're only doing ten measurements and you think

0:31:27.520 --> 0:31:31.280
<v Speaker 5>you'll screw up like one out of a thousand, you're

0:31:31.320 --> 0:31:34.680
<v Speaker 5>probably not too worried that you're that you're going to

0:31:36.040 --> 0:31:38.920
<v Speaker 5>produce a wrong result, or produce a result that had

0:31:39.000 --> 0:31:42.320
<v Speaker 5>a large statistical fluctuation where you didn't you didn't screw

0:31:42.360 --> 0:31:46.200
<v Speaker 5>up anything, and you're you're apparatus performed exactly correctly. But

0:31:46.320 --> 0:31:49.560
<v Speaker 5>nonetheless you've got very unlucky if you think that that

0:31:49.640 --> 0:31:52.920
<v Speaker 5>probability is small and you're only making like ten measurements,

0:31:53.000 --> 0:31:55.160
<v Speaker 5>you're not too worried that you're going to publish a

0:31:55.240 --> 0:31:57.400
<v Speaker 5>result that's going to lead people down a wrong path.

0:31:58.320 --> 0:32:03.760
<v Speaker 5>But in particle physics, we make thousands of measurements, most

0:32:03.760 --> 0:32:05.800
<v Speaker 5>of which you never hear about in the news because

0:32:05.840 --> 0:32:07.560
<v Speaker 5>unfortunately most of them agree.

0:32:07.240 --> 0:32:08.160
<v Speaker 9>With the standard model.

0:32:09.240 --> 0:32:11.520
<v Speaker 5>But because we make so many, there's going to be

0:32:11.600 --> 0:32:17.920
<v Speaker 5>some just out of statistical fluctuations that happen to appear

0:32:18.040 --> 0:32:21.520
<v Speaker 5>to disagree a lot with what we expect, and so

0:32:22.200 --> 0:32:26.960
<v Speaker 5>it's very important to have a very strict criterion for

0:32:27.960 --> 0:32:31.520
<v Speaker 5>deciding when something disagrees with what we expect so much

0:32:31.680 --> 0:32:33.040
<v Speaker 5>that it must be interesting.

0:32:34.320 --> 0:32:36.120
<v Speaker 2>Yeah, I think that's probably true. Do you think it's

0:32:36.160 --> 0:32:39.800
<v Speaker 2>also because some of the things we're probing are sort

0:32:39.800 --> 0:32:43.200
<v Speaker 2>of invisible, so that our measurements are always going to

0:32:43.240 --> 0:32:46.000
<v Speaker 2>be indirect, you know, like if somebody discovers a new

0:32:46.040 --> 0:32:49.160
<v Speaker 2>kind of turtle in biology, they're like, here's the turtle.

0:32:49.240 --> 0:32:51.000
<v Speaker 2>Like I can show you, look, this is a turtle.

0:32:51.040 --> 0:32:53.760
<v Speaker 2>Like nobody's confused about whether it's a turtle. But if

0:32:53.760 --> 0:32:55.920
<v Speaker 2>we're saying, hey, I discovered the squigglyon, it's not like

0:32:55.960 --> 0:32:58.080
<v Speaker 2>I can say, I've got a pile of squiglyons. Here

0:32:58.080 --> 0:33:00.640
<v Speaker 2>they are. That's all play with them to show you data,

0:33:00.760 --> 0:33:03.040
<v Speaker 2>and the data has statistics, and we have to make inference,

0:33:03.040 --> 0:33:06.280
<v Speaker 2>and so it's always frustratingly indirect. And I wonder if

0:33:06.320 --> 0:33:09.280
<v Speaker 2>that's one reason why we have to be such nerds

0:33:09.320 --> 0:33:12.000
<v Speaker 2>about whether or not we've been confused, because there's so

0:33:12.040 --> 0:33:15.560
<v Speaker 2>many different steps between the physical reality and the actual

0:33:15.560 --> 0:33:16.480
<v Speaker 2>measurements we make.

0:33:16.960 --> 0:33:21.000
<v Speaker 5>Yeah, it's also the case that in particle physics we're

0:33:21.080 --> 0:33:25.640
<v Speaker 5>also dealing with looking for processes in colliders that can

0:33:25.720 --> 0:33:28.440
<v Speaker 5>look a lot like other processes that we aren't actually

0:33:28.480 --> 0:33:29.200
<v Speaker 5>interested in.

0:33:29.600 --> 0:33:31.840
<v Speaker 9>So it's not so much like we.

0:33:31.720 --> 0:33:33.440
<v Speaker 5>Go out into the world and we find a new

0:33:33.480 --> 0:33:35.400
<v Speaker 5>turtle and we bring it back and show people and

0:33:35.440 --> 0:33:38.200
<v Speaker 5>say this is a new turtle. It's more like we

0:33:38.240 --> 0:33:40.080
<v Speaker 5>go out into the world, and we find a new

0:33:40.120 --> 0:33:43.360
<v Speaker 5>turtle that looks very, very similar to a lot of

0:33:43.400 --> 0:33:47.200
<v Speaker 5>other turtles, and we bring that turtle and another thirty

0:33:47.240 --> 0:33:51.960
<v Speaker 5>turtles back, and we show the collection of turtles to

0:33:52.040 --> 0:33:55.720
<v Speaker 5>our colleagues, and we have to convince them that that

0:33:55.800 --> 0:33:57.200
<v Speaker 5>one turtle really is special.

0:33:58.880 --> 0:34:01.600
<v Speaker 2>It's not just the same turtle all the way down. Yeah, exactly.

0:34:02.040 --> 0:34:04.320
<v Speaker 2>And then we do experiments with those turtles, flipping them

0:34:04.320 --> 0:34:07.360
<v Speaker 2>to see if they're fair coins in that. So this

0:34:07.480 --> 0:34:10.080
<v Speaker 2>is the way that physicists think about things. We're really

0:34:10.120 --> 0:34:12.719
<v Speaker 2>focused on what we've measured, how well we know it,

0:34:12.880 --> 0:34:17.439
<v Speaker 2>quantifying that uncertainty different ways we can be wrong when

0:34:17.480 --> 0:34:20.800
<v Speaker 2>we communicate our results to the public. This is a challenge,

0:34:20.880 --> 0:34:23.800
<v Speaker 2>right to express to them here's what we think, but

0:34:23.880 --> 0:34:26.960
<v Speaker 2>here's how much wrong we might be. What do you

0:34:27.000 --> 0:34:30.080
<v Speaker 2>think are the usual stumbling blocks for people who haven't

0:34:30.080 --> 0:34:33.000
<v Speaker 2>spent their lives learning to think like a physicist for

0:34:33.200 --> 0:34:36.840
<v Speaker 2>understanding uncertainties and what we mean by uncertainties when we

0:34:36.880 --> 0:34:37.560
<v Speaker 2>talk about them.

0:34:38.000 --> 0:34:42.319
<v Speaker 5>Well, I think one problem is that most of the

0:34:42.360 --> 0:34:45.680
<v Speaker 5>time in real life, when we're talking about needing to

0:34:45.760 --> 0:34:48.800
<v Speaker 5>know the value of some quantity, we.

0:34:48.640 --> 0:34:51.359
<v Speaker 2>Were not hold on, are you contrasting physics with real

0:34:51.400 --> 0:34:54.520
<v Speaker 2>life is that what you just did here, are you

0:34:54.520 --> 0:34:55.920
<v Speaker 2>saying physics is not real for me?

0:34:56.040 --> 0:34:56.799
<v Speaker 9>The same thing?

0:35:01.080 --> 0:35:04.080
<v Speaker 5>But in the ordinary life, where we go outside and

0:35:06.200 --> 0:35:09.480
<v Speaker 5>you know, do things where we're not looking at a

0:35:09.480 --> 0:35:16.200
<v Speaker 5>computer screen, we do get values for various quantities. Like

0:35:16.760 --> 0:35:18.839
<v Speaker 5>if we're driving our car, we do look at our

0:35:18.880 --> 0:35:23.840
<v Speaker 5>speedometer hopefully and see what speed we're getting. And generally

0:35:23.960 --> 0:35:30.640
<v Speaker 5>the outside world isn't very it's not used to giving

0:35:30.680 --> 0:35:32.840
<v Speaker 5>us uncertainties on the numbers that we get. So we

0:35:32.840 --> 0:35:34.879
<v Speaker 5>look at that speedometer and it tells us we're going

0:35:35.160 --> 0:35:37.319
<v Speaker 5>fifty seven miles an hour, but it doesn't put an

0:35:37.400 --> 0:35:41.440
<v Speaker 5>error bar on it. And also when we're learning things

0:35:41.560 --> 0:35:45.000
<v Speaker 5>about either physics or anything else.

0:35:44.840 --> 0:35:48.319
<v Speaker 9>In our in our education, at least in.

0:35:48.280 --> 0:35:51.960
<v Speaker 5>Our earlier education, usually the idea is, here are the

0:35:52.000 --> 0:35:53.479
<v Speaker 5>principles that we work from.

0:35:53.600 --> 0:35:55.080
<v Speaker 9>What can we figure out from it?

0:35:55.600 --> 0:35:58.080
<v Speaker 5>But we don't actually stop and think, well, what are

0:35:58.239 --> 0:36:01.320
<v Speaker 5>the experimental results that led to us having those principles,

0:36:01.320 --> 0:36:04.799
<v Speaker 5>and what were the errors on those principles, what were

0:36:04.800 --> 0:36:08.400
<v Speaker 5>the uncertainties on those principles? And you know, how well

0:36:08.520 --> 0:36:11.799
<v Speaker 5>does that principle work with the situation I'm trying to

0:36:12.719 --> 0:36:15.440
<v Speaker 5>trying to study at the moment. Am I actually using

0:36:15.520 --> 0:36:20.000
<v Speaker 5>the right the right set of scientific principles for the

0:36:20.040 --> 0:36:23.839
<v Speaker 5>situation at hand, or am I introducing some uncertainties that maybe.

0:36:25.520 --> 0:36:27.720
<v Speaker 9>Maybe I need to think about.

0:36:28.680 --> 0:36:31.839
<v Speaker 5>So I would say that the main stumbling block is

0:36:32.800 --> 0:36:37.919
<v Speaker 5>that we just aren't exposed to it. It's it's hard

0:36:37.960 --> 0:36:38.439
<v Speaker 5>to come by.

0:36:39.080 --> 0:36:41.799
<v Speaker 2>Yeah, I see. So maybe when you get pulled over,

0:36:42.040 --> 0:36:44.440
<v Speaker 2>you can tell the officer like, look, it said it

0:36:44.520 --> 0:36:46.480
<v Speaker 2>was I was doing sixty. I don't know why your

0:36:46.600 --> 0:36:48.799
<v Speaker 2>machine says I was doing eighty five. Maybe there's some

0:36:48.840 --> 0:36:51.400
<v Speaker 2>mistakes somewhere, right, Sometimes we have a little bit of

0:36:51.440 --> 0:36:54.560
<v Speaker 2>intuitive grasp of like maybe there's fuzz in the numbers.

0:36:55.120 --> 0:36:58.120
<v Speaker 2>But you're right, we're rarely like measuring the uncertainties in

0:36:58.480 --> 0:37:01.400
<v Speaker 2>quote unquote real life. So for people who are not

0:37:01.600 --> 0:37:04.239
<v Speaker 2>trained like a physicist and don't nerd out about statistics

0:37:04.239 --> 0:37:06.480
<v Speaker 2>all the time, well, it's a sort of intuitive or

0:37:06.480 --> 0:37:10.120
<v Speaker 2>easy way to start to think about these uncertainties. What

0:37:10.160 --> 0:37:12.640
<v Speaker 2>do you recommend? I know you have a wonderful YouTube

0:37:12.680 --> 0:37:14.759
<v Speaker 2>channel where you teach people to think like a physicist

0:37:14.760 --> 0:37:18.200
<v Speaker 2>and think about uncertainties. How should people get started thinking

0:37:18.239 --> 0:37:20.040
<v Speaker 2>about uncertainties like a physicist.

0:37:20.280 --> 0:37:22.279
<v Speaker 5>Well, if you want to think about it the way

0:37:22.400 --> 0:37:26.759
<v Speaker 5>physicists do, I guess I would explain how physicists arrive

0:37:26.840 --> 0:37:29.680
<v Speaker 5>at those uncertainties. So, like a physicist who is conducting

0:37:29.719 --> 0:37:33.239
<v Speaker 5>some kind of an experiment, they are going to want

0:37:33.280 --> 0:37:35.120
<v Speaker 5>to produce a result, and they're going to want to

0:37:35.160 --> 0:37:37.440
<v Speaker 5>produce an error bar that goes with that result.

0:37:37.440 --> 0:37:39.799
<v Speaker 9>That tells you and what the uncertainty on that result is.

0:37:40.200 --> 0:37:42.480
<v Speaker 2>Let's stop there, firm and describe exactly what you mean.

0:37:42.480 --> 0:37:45.640
<v Speaker 2>They're like the error bar. So if I say I've

0:37:45.800 --> 0:37:48.719
<v Speaker 2>measured my speed to be seventy miles an hour with

0:37:48.760 --> 0:37:51.480
<v Speaker 2>an air bar of five, what does that mean? What

0:37:51.520 --> 0:37:53.279
<v Speaker 2>does the err bar mean? What am I saying when

0:37:53.320 --> 0:37:53.879
<v Speaker 2>I say five?

0:37:54.200 --> 0:37:58.640
<v Speaker 5>So the error bar, if you're at least thinking about

0:37:58.640 --> 0:38:01.879
<v Speaker 5>it from a physicist point of view, is you've thought

0:38:01.920 --> 0:38:06.080
<v Speaker 5>about what the possible sources of error that can come

0:38:06.120 --> 0:38:08.800
<v Speaker 5>in the ways that you could be wrong, the ways

0:38:08.800 --> 0:38:12.560
<v Speaker 5>that you could measure it incorrectly, and you've done some

0:38:12.680 --> 0:38:16.200
<v Speaker 5>kind of analysis or thinking about it to add those

0:38:16.239 --> 0:38:21.319
<v Speaker 5>sources together and figure out roughly typically how much you

0:38:21.400 --> 0:38:22.640
<v Speaker 5>would be wrong by.

0:38:23.320 --> 0:38:26.280
<v Speaker 2>So does that mean that if I measure my speed

0:38:26.280 --> 0:38:28.719
<v Speaker 2>to be seventy plus or minus five, that the true

0:38:28.800 --> 0:38:33.160
<v Speaker 2>speed is definitely within sixty five to seventy five, Like,

0:38:33.200 --> 0:38:36.279
<v Speaker 2>does the error bar completely define the possible extent of

0:38:36.320 --> 0:38:36.760
<v Speaker 2>the truth.

0:38:37.080 --> 0:38:42.720
<v Speaker 5>Absolutely not. It's a typical value. It's a typical value

0:38:42.760 --> 0:38:45.640
<v Speaker 5>for the difference between the true value of something and

0:38:45.680 --> 0:38:50.400
<v Speaker 5>the value that we measure. And we don't know whether

0:38:50.480 --> 0:38:53.239
<v Speaker 5>the value we measure is above the true value or

0:38:53.239 --> 0:38:56.200
<v Speaker 5>below it. And we don't know if the difference between

0:38:56.200 --> 0:38:59.080
<v Speaker 5>the true value and our measured value is larger than

0:38:59.120 --> 0:39:00.799
<v Speaker 5>that error bar or smaller.

0:39:00.440 --> 0:39:01.080
<v Speaker 9>Than that error bar.

0:39:01.160 --> 0:39:04.600
<v Speaker 5>And an instance of a specific measurement, what that error

0:39:04.640 --> 0:39:08.320
<v Speaker 5>bar means is that's a typical value for how the

0:39:08.360 --> 0:39:11.360
<v Speaker 5>true value in the measured value would disagree.

0:39:12.080 --> 0:39:15.520
<v Speaker 2>Right, And so if we quote seventy plus or minus five,

0:39:15.640 --> 0:39:18.800
<v Speaker 2>or let's talk about you know, politics, Joe Biden's pulling

0:39:18.880 --> 0:39:24.319
<v Speaker 2>numbers are forty four percent with a uncertainty of three percent. Right,

0:39:24.560 --> 0:39:29.279
<v Speaker 2>that doesn't mean that his true value is between you know,

0:39:29.320 --> 0:39:32.520
<v Speaker 2>forty four plus three and forty four minus three. It

0:39:32.680 --> 0:39:35.920
<v Speaker 2>means that there's a sixty percent chance that it is.

0:39:36.440 --> 0:39:38.719
<v Speaker 2>And then therefore there's a thirty two percent chance that

0:39:38.800 --> 0:39:42.279
<v Speaker 2>it isn't right. So the airbar tells us, as you say,

0:39:42.800 --> 0:39:46.560
<v Speaker 2>roughly the size of the expected difference between the truths

0:39:46.560 --> 0:39:48.920
<v Speaker 2>and the measured value. But it doesn't bound it right.

0:39:48.960 --> 0:39:51.759
<v Speaker 2>It doesn't tell us it's exactly within that. I see

0:39:51.760 --> 0:39:54.920
<v Speaker 2>this sort of misunderstanding all the time in political journalism.

0:39:55.400 --> 0:39:58.000
<v Speaker 2>You know, where they have two candidates and if they're

0:39:58.000 --> 0:40:02.000
<v Speaker 2>separated by ten points and the uncertainty is four points,

0:40:02.280 --> 0:40:04.520
<v Speaker 2>then they say, Okay, it's definitely a lead, but you know,

0:40:04.600 --> 0:40:07.719
<v Speaker 2>it still could be the opposite, or two candidates who

0:40:07.760 --> 0:40:11.160
<v Speaker 2>are near each other but within the statistical uncertainty, they

0:40:11.160 --> 0:40:13.279
<v Speaker 2>call it a tie, even though if one of them

0:40:13.320 --> 0:40:15.520
<v Speaker 2>has a larger value, we're pretty sure that you know,

0:40:15.560 --> 0:40:18.640
<v Speaker 2>we're somewhat sure at least that they have more support.

0:40:19.080 --> 0:40:21.319
<v Speaker 2>I think there's a lot of misunderstanding about what this

0:40:21.480 --> 0:40:24.600
<v Speaker 2>error bar means. It seems so much more definitive right

0:40:24.680 --> 0:40:26.359
<v Speaker 2>than the way that we meet it. It's really, as

0:40:26.360 --> 0:40:29.440
<v Speaker 2>you say, just a typical value. It tells you roughly

0:40:29.480 --> 0:40:33.239
<v Speaker 2>the scale of how far off you might be. So

0:40:33.280 --> 0:40:36.239
<v Speaker 2>when people are out there reading a scientific result, right

0:40:36.239 --> 0:40:39.239
<v Speaker 2>when they're not measuring their speedometer, when they're reading a

0:40:39.280 --> 0:40:42.000
<v Speaker 2>paper about a new particle and they come across something,

0:40:42.520 --> 0:40:45.560
<v Speaker 2>what should they be asking themselves? They should what should

0:40:45.560 --> 0:40:48.280
<v Speaker 2>they be looking for in that article to help understand

0:40:48.480 --> 0:40:52.080
<v Speaker 2>how uncertain are physicists about this new squeakly unparticle.

0:40:52.360 --> 0:40:56.000
<v Speaker 5>Well, I mean, at the most basic level, if the

0:40:56.040 --> 0:41:00.000
<v Speaker 5>result is measuring something and saying this value was large

0:41:00.280 --> 0:41:02.600
<v Speaker 5>than what we were expecting from our prediction if the

0:41:02.600 --> 0:41:06.560
<v Speaker 5>particle didn't exist, the first question is to ask, well,

0:41:06.840 --> 0:41:09.319
<v Speaker 5>what was the difference between what was observed and what

0:41:09.400 --> 0:41:12.400
<v Speaker 5>was expected if the particle didn't exist, And then how

0:41:12.440 --> 0:41:16.000
<v Speaker 5>does that difference compare to the quoted uncertainty.

0:41:16.800 --> 0:41:20.560
<v Speaker 9>So if that difference is a lot larger.

0:41:20.160 --> 0:41:22.839
<v Speaker 5>Than the quoted uncertainty, then we would tend to think

0:41:22.840 --> 0:41:25.520
<v Speaker 5>that something interesting is going on. You know, maybe it's

0:41:25.560 --> 0:41:29.400
<v Speaker 5>particle discovery. Hopefully it's particle discovery, but it always could

0:41:29.440 --> 0:41:31.880
<v Speaker 5>be that something has gone wrong with the experiment that

0:41:31.920 --> 0:41:35.920
<v Speaker 5>we don't understand. On the other hand, if the difference

0:41:35.960 --> 0:41:40.439
<v Speaker 5>between what's observed and what's expected from the no new

0:41:40.480 --> 0:41:44.799
<v Speaker 5>particle hypothesis, if that difference is not much larger than

0:41:44.800 --> 0:41:47.520
<v Speaker 5>the uncertainty, or maybe it's only a couple times the uncertainty,

0:41:48.040 --> 0:41:51.440
<v Speaker 5>then it's probably a little bit too early to get excited.

0:41:51.880 --> 0:41:54.120
<v Speaker 5>We need more data and we need more results and

0:41:54.160 --> 0:41:57.399
<v Speaker 5>possibly more experiments to look at it before we say

0:41:57.440 --> 0:41:58.280
<v Speaker 5>anything definitive.

0:41:59.120 --> 0:42:01.399
<v Speaker 2>Right, then make a concrete and go back to our

0:42:01.840 --> 0:42:03.920
<v Speaker 2>coin that we're tossing, or the turtle that we're flipping.

0:42:04.360 --> 0:42:07.440
<v Speaker 2>Let's say I flip the coin two times and I

0:42:07.480 --> 0:42:11.120
<v Speaker 2>get two heads, so it's one hundred percent heads, right,

0:42:11.840 --> 0:42:14.239
<v Speaker 2>And then I go off and I write a paper saying, look,

0:42:14.360 --> 0:42:17.080
<v Speaker 2>my coin is one hundred percent heads. It's totally unfair.

0:42:17.080 --> 0:42:19.919
<v Speaker 2>And you're the reviewer. You might look and say, all right,

0:42:20.000 --> 0:42:22.239
<v Speaker 2>you know, but the prediction for a fair coin is

0:42:22.280 --> 0:42:24.719
<v Speaker 2>fifty percent, and the prediction for an unfair coin is

0:42:25.040 --> 0:42:27.799
<v Speaker 2>you know, something above that. But the uncertainty on your

0:42:27.840 --> 0:42:30.480
<v Speaker 2>measurement is huge because you only flipped it twice, right,

0:42:30.560 --> 0:42:32.960
<v Speaker 2>So yes, you measured one hundred percent heads, but you

0:42:32.960 --> 0:42:35.120
<v Speaker 2>could have also gotten fifty percent heads or seventy five

0:42:35.120 --> 0:42:38.360
<v Speaker 2>percent heads or whatever. And so you're saying if I

0:42:38.400 --> 0:42:41.200
<v Speaker 2>go back and then flip it a million times and

0:42:41.239 --> 0:42:44.879
<v Speaker 2>I still get a million heads, that that's very different, right,

0:42:44.920 --> 0:42:47.520
<v Speaker 2>And I think people can understand that that's much more compelling.

0:42:47.840 --> 0:42:49.440
<v Speaker 2>If you get a million heads in a row, it's

0:42:49.560 --> 0:42:52.840
<v Speaker 2>very unlikely to be a fair coin. And that's the difference,

0:42:52.920 --> 0:42:56.160
<v Speaker 2>right that there's a smaller uncertainty on my measurement of

0:42:56.160 --> 0:42:58.480
<v Speaker 2>one hundred percent heads if I flip it a million

0:42:58.520 --> 0:43:01.719
<v Speaker 2>times and if I flip it two times times, And

0:43:01.760 --> 0:43:04.520
<v Speaker 2>so the two different hypotheses of like a fair coin

0:43:04.760 --> 0:43:06.879
<v Speaker 2>fifty percent heads and an unfair coin and one hundred

0:43:06.880 --> 0:43:10.279
<v Speaker 2>percent heads. The difference there is now large compared to

0:43:10.320 --> 0:43:13.120
<v Speaker 2>the uncertainty, whereas it was small when I only flipped

0:43:13.120 --> 0:43:13.520
<v Speaker 2>it twice.

0:43:13.960 --> 0:43:16.319
<v Speaker 5>Yeah, when you only flip it twice, I mean, even

0:43:16.400 --> 0:43:19.040
<v Speaker 5>if the coin is fair, the probability is twenty five

0:43:19.040 --> 0:43:21.160
<v Speaker 5>percent it's going to come up heads both times. So

0:43:22.400 --> 0:43:24.600
<v Speaker 5>it's it's important to not jump the gun and think

0:43:24.600 --> 0:43:26.840
<v Speaker 5>that you've discovered something amazing when you might.

0:43:26.760 --> 0:43:30.080
<v Speaker 9>Just have a quarter exactly.

0:43:30.200 --> 0:43:32.080
<v Speaker 5>On the other hand, if you flip the coin ten

0:43:32.120 --> 0:43:35.160
<v Speaker 5>times and it comes up heads each time, well then

0:43:35.320 --> 0:43:39.040
<v Speaker 5>you know you start to think maybe something's up. And

0:43:39.120 --> 0:43:41.960
<v Speaker 5>if you do it twenty times, then you might start

0:43:42.000 --> 0:43:44.759
<v Speaker 5>to really think that's something up. And certainly, if you

0:43:44.840 --> 0:43:47.439
<v Speaker 5>flip it a million times, then you're pretty darn certain

0:43:47.600 --> 0:43:48.200
<v Speaker 5>something's else.

0:43:49.840 --> 0:43:54.800
<v Speaker 2>Exactly, but I think it's fascinating that even now, for example,

0:43:55.120 --> 0:43:58.760
<v Speaker 2>we can't say one hundred percent definitively that the Higgs

0:43:58.800 --> 0:44:01.880
<v Speaker 2>boson exists. Like we've taken so much data, we have

0:44:02.120 --> 0:44:05.880
<v Speaker 2>so much evidence, and yet still it could all be

0:44:05.920 --> 0:44:08.719
<v Speaker 2>a fluctuation, right, It could all just be We could

0:44:08.760 --> 0:44:11.360
<v Speaker 2>be that situation where we flipped a fair coin a

0:44:11.400 --> 0:44:13.719
<v Speaker 2>million times and gotten a million heads in a row.

0:44:13.800 --> 0:44:16.560
<v Speaker 2>It can happen, and we could have been fooled by

0:44:16.560 --> 0:44:18.320
<v Speaker 2>our data. We don't have like a pile of Higgs

0:44:18.360 --> 0:44:20.800
<v Speaker 2>bosons we can point to and say these are them, folks.

0:44:21.200 --> 0:44:23.840
<v Speaker 2>We just have, you know, basically the result of flipping

0:44:23.840 --> 0:44:26.600
<v Speaker 2>a bunch of coins and seeing it come out weird

0:44:27.400 --> 0:44:30.279
<v Speaker 2>compared to our prediction for no Higgs boson. So in

0:44:30.320 --> 0:44:33.360
<v Speaker 2>principle we know we don't really know that any particle

0:44:33.440 --> 0:44:35.840
<v Speaker 2>is out there, though I guess as we continue to

0:44:36.120 --> 0:44:39.080
<v Speaker 2>make collisions and analyze data we get more and more certain.

0:44:39.320 --> 0:44:41.080
<v Speaker 2>But it's sort of like approaching the speed of light, right,

0:44:41.120 --> 0:44:42.640
<v Speaker 2>you can never actually get there.

0:44:42.800 --> 0:44:43.359
<v Speaker 9>That's right.

0:44:43.840 --> 0:44:47.560
<v Speaker 5>You can never be absolutely certain of any scientific result

0:44:47.640 --> 0:44:49.960
<v Speaker 5>that you produce. But on the other hand, you can

0:44:50.000 --> 0:44:53.120
<v Speaker 5>also not be absolutely certain that this chair sitting next

0:44:53.160 --> 0:44:56.359
<v Speaker 5>to you actually exists, because of course your eyes could

0:44:56.360 --> 0:44:58.560
<v Speaker 5>have malfunctioned, you could be dreaming.

0:44:59.400 --> 0:45:04.440
<v Speaker 9>So one percent certainty is a dream. It's an illusion.

0:45:04.480 --> 0:45:06.080
<v Speaker 9>It's not something we can ever achieve.

0:45:06.120 --> 0:45:09.239
<v Speaker 2>Exactly right, I'm not one hundred percent shortain we're having

0:45:09.239 --> 0:45:13.799
<v Speaker 2>this conversation. Yeah, exactly, Great, Well, so tell us more

0:45:14.000 --> 0:45:16.799
<v Speaker 2>about your project Think like a Physicist, where people can

0:45:16.840 --> 0:45:19.120
<v Speaker 2>go to learn more about it and learn more about

0:45:19.160 --> 0:45:20.360
<v Speaker 2>thinking like a physicist.

0:45:20.640 --> 0:45:20.920
<v Speaker 9>Yeah.

0:45:20.960 --> 0:45:23.799
<v Speaker 5>So I have a YouTube channel. It's called Think like

0:45:23.800 --> 0:45:26.640
<v Speaker 5>a Physicist. And the idea behind my channel is I

0:45:26.680 --> 0:45:30.560
<v Speaker 5>wanted to take the statistical methods, especially also the other

0:45:30.640 --> 0:45:33.640
<v Speaker 5>methods the physicists use, but especially the statistical methods the

0:45:33.640 --> 0:45:36.880
<v Speaker 5>physicists use, and I wanted to explain them in a

0:45:36.880 --> 0:45:41.680
<v Speaker 5>way that I hope non scientists can understand. And the

0:45:41.760 --> 0:45:44.640
<v Speaker 5>idea is that I would like for people when they

0:45:44.640 --> 0:45:46.919
<v Speaker 5>read about a scientific result and it has an error

0:45:46.920 --> 0:45:48.640
<v Speaker 5>bar on it, that they would be able to have

0:45:48.680 --> 0:45:52.160
<v Speaker 5>a better understanding of what that error bar means, and

0:45:52.320 --> 0:45:57.239
<v Speaker 5>also that that way they can understand scientific results in context.

0:45:57.280 --> 0:46:03.120
<v Speaker 5>For example, if you hear that one experiment does a

0:46:03.320 --> 0:46:05.800
<v Speaker 5>measurement of a certain quantity and it agrees with the

0:46:05.840 --> 0:46:09.640
<v Speaker 5>standard model. And then three years later you hear that

0:46:09.719 --> 0:46:13.200
<v Speaker 5>another experiment measured the same quantity and they got a

0:46:13.239 --> 0:46:16.200
<v Speaker 5>different result. You know, it might be because the second

0:46:16.239 --> 0:46:19.879
<v Speaker 5>experiment had a smaller error bar than the first one did,

0:46:20.880 --> 0:46:23.640
<v Speaker 5>and so you can understand results in context better.

0:46:25.160 --> 0:46:27.640
<v Speaker 9>So basically, I go through a.

0:46:27.600 --> 0:46:33.799
<v Speaker 5>Lot of the basic statistical techniques that physicists use, and

0:46:33.880 --> 0:46:35.719
<v Speaker 5>I hope that I explained them in a way that

0:46:35.760 --> 0:46:40.680
<v Speaker 5>people can understand. And so, yeah, I would very much

0:46:40.840 --> 0:46:43.120
<v Speaker 5>like the public to know more about these topics so

0:46:43.120 --> 0:46:44.799
<v Speaker 5>that they can understand what we do a bit better.

0:46:45.200 --> 0:46:47.200
<v Speaker 2>Great, tell us one more time where people can find you.

0:46:47.719 --> 0:46:50.279
<v Speaker 5>Yeah, my YouTube channel is called think like a Physicist.

0:46:50.520 --> 0:46:52.960
<v Speaker 2>Great, well, thanks very much Jen for coming on podcast

0:46:53.000 --> 0:46:55.759
<v Speaker 2>today and thinking like a Physicist with me. I appreciate it.

0:46:55.800 --> 0:46:57.320
<v Speaker 9>Thank you so much. It's been great.

0:46:57.960 --> 0:47:00.640
<v Speaker 1>All right, interesting interview. I like the she talked about

0:47:00.719 --> 0:47:04.080
<v Speaker 1>uncertainties and how you know this concept, you know, spills

0:47:04.120 --> 0:47:07.239
<v Speaker 1>into our everyday lives, especially when it comes to things

0:47:07.280 --> 0:47:10.040
<v Speaker 1>like policies. But people don't seem to have a pretty

0:47:10.360 --> 0:47:13.160
<v Speaker 1>good understanding of that. Maybe they should talk to statisticians,

0:47:14.120 --> 0:47:16.120
<v Speaker 1>not physicists or politicians.

0:47:16.160 --> 0:47:18.480
<v Speaker 2>How to think like a statistician exactly.

0:47:18.800 --> 0:47:21.680
<v Speaker 1>Yeah, how to probably think like a statistician?

0:47:23.760 --> 0:47:25.399
<v Speaker 2>How statisticians likely think?

0:47:26.320 --> 0:47:29.000
<v Speaker 1>Yeah, likely think or think likely?

0:47:31.480 --> 0:47:33.680
<v Speaker 2>The likelihood of me finding a good joke is low.

0:47:35.040 --> 0:47:40.520
<v Speaker 1>Yeah, we'll make that the null hypothesis. All right, and

0:47:40.560 --> 0:47:43.400
<v Speaker 1>an interesting perspective though, about how to think like a physicist. Now,

0:47:43.480 --> 0:47:46.480
<v Speaker 1>let's talk to someone whose job it is to, I guess,

0:47:46.520 --> 0:47:49.640
<v Speaker 1>reintroduce physicists out into the world, sort of like those

0:47:49.680 --> 0:47:53.719
<v Speaker 1>wildlife experts who have to retrain animals to live in

0:47:53.719 --> 0:47:55.719
<v Speaker 1>the wild. Is that is that kind of her job?

0:47:57.000 --> 0:47:59.960
<v Speaker 2>Yeah, exactly, Or re educate prisoners who are emerging.

0:48:00.680 --> 0:48:05.080
<v Speaker 1>Oh, oh my goodness, I guess I could eat me

0:48:05.080 --> 0:48:08.000
<v Speaker 1>a sort of like a prison. There are walls, towers,

0:48:08.760 --> 0:48:12.120
<v Speaker 1>you know, small rooms where people are sitting all day.

0:48:12.719 --> 0:48:13.640
<v Speaker 2>The food is terrible.

0:48:14.280 --> 0:48:15.879
<v Speaker 1>Do you have does your door have bars in it

0:48:16.000 --> 0:48:21.680
<v Speaker 1>as well? And the average sentence is like sixty seven years? Right?

0:48:21.880 --> 0:48:23.480
<v Speaker 2>Oh, I got a lifetime sentence over here.

0:48:26.640 --> 0:48:31.160
<v Speaker 1>You did a capital discovery. All right, Well, we'll get

0:48:31.200 --> 0:48:35.839
<v Speaker 1>to Daniel's interview with physicists Kathy Kopick about what physicists

0:48:35.920 --> 0:48:39.520
<v Speaker 1>can do outside of physics. So let's dig into that.

0:48:39.560 --> 0:48:54.640
<v Speaker 1>But first, let's take another quick break. All right, we're

0:48:54.680 --> 0:48:58.360
<v Speaker 1>asking the question how to think like a physicist? That

0:48:58.440 --> 0:49:01.200
<v Speaker 1>sounds like a great T shirt, Think like.

0:49:01.160 --> 0:49:04.239
<v Speaker 2>A physicist, yeah, or a bumper sticker and in.

0:49:04.200 --> 0:49:09.239
<v Speaker 1>The bags is snap like a physicist too? Well, Danny,

0:49:09.280 --> 0:49:12.279
<v Speaker 1>you got to talk to another physicist who sort of

0:49:12.360 --> 0:49:14.000
<v Speaker 1>does something else that's kind of interesting.

0:49:14.200 --> 0:49:17.000
<v Speaker 2>Yeah. Kathy Kopeik is an old friend of mine. She

0:49:17.040 --> 0:49:19.640
<v Speaker 2>and I did experimental particle physics together many years ago,

0:49:19.719 --> 0:49:22.480
<v Speaker 2>but then she ventured out into the world instead of

0:49:22.480 --> 0:49:25.640
<v Speaker 2>continuing in physics research, and for many years her job

0:49:25.880 --> 0:49:30.200
<v Speaker 2>was to help people who have PhDs in physics find

0:49:30.320 --> 0:49:33.759
<v Speaker 2>jobs outside of physics, mostly in data science and in

0:49:33.840 --> 0:49:36.520
<v Speaker 2>machine learning industry, which has been gobbling up a lot

0:49:36.520 --> 0:49:37.600
<v Speaker 2>of physics PhDs.

0:49:37.840 --> 0:49:39.640
<v Speaker 1>Well, she did this for a company or is it

0:49:39.719 --> 0:49:40.719
<v Speaker 1>consultant or what.

0:49:41.160 --> 0:49:43.839
<v Speaker 2>Yeah, there was a company called Insight Data Science, which

0:49:43.880 --> 0:49:46.520
<v Speaker 2>was like a boot campo take people from physics, give

0:49:46.560 --> 0:49:48.880
<v Speaker 2>them a little bit of an introduction into the tools

0:49:48.880 --> 0:49:51.960
<v Speaker 2>of business or industry, or at least help them translate

0:49:52.000 --> 0:49:53.879
<v Speaker 2>their experience so they knew how to talk about it.

0:49:54.200 --> 0:49:56.360
<v Speaker 2>I find that one of the biggest barriers between fields

0:49:56.480 --> 0:49:59.839
<v Speaker 2>is just vocabulary. You know, everybody talks about the same

0:49:59.840 --> 0:50:01.719
<v Speaker 2>thing and using different words, and so if you just

0:50:01.800 --> 0:50:05.840
<v Speaker 2>learn to translate your work, your expertise into somebody else's language,

0:50:05.920 --> 0:50:07.920
<v Speaker 2>you can help them understand how you might be useful

0:50:07.920 --> 0:50:08.600
<v Speaker 2>to their company.

0:50:09.920 --> 0:50:12.080
<v Speaker 1>Right, Right, You just have to say things like I

0:50:12.120 --> 0:50:16.399
<v Speaker 1>worked on a model to understand the universe, and then

0:50:16.440 --> 0:50:17.759
<v Speaker 1>all scientists will understand you.

0:50:19.560 --> 0:50:23.400
<v Speaker 2>I'm gonna circle back and connect with stakeholders so that

0:50:23.440 --> 0:50:26.560
<v Speaker 2>we can maximize shareholder profit. Right, that's my attempt to.

0:50:26.560 --> 0:50:32.160
<v Speaker 1>Speak corporate world. That's how you think they talk in

0:50:32.280 --> 0:50:33.200
<v Speaker 1>corporate America.

0:50:33.280 --> 0:50:35.200
<v Speaker 2>I mean based on the sitcoms I watch, I mean

0:50:35.280 --> 0:50:36.080
<v Speaker 2>research I've done.

0:50:36.120 --> 0:50:40.600
<v Speaker 1>Then, yes, is that part of thinking like a physicist

0:50:40.640 --> 0:50:42.560
<v Speaker 1>is doing your research on TV and YouTube?

0:50:43.960 --> 0:50:45.200
<v Speaker 2>That's just part of living man.

0:50:47.480 --> 0:50:49.719
<v Speaker 1>Now, you said Kathy used to do that. What does

0:50:49.760 --> 0:50:50.320
<v Speaker 1>she do now?

0:50:50.560 --> 0:50:52.480
<v Speaker 2>Yeah? Now Kathy has a bunch of jobs. She's teaching

0:50:52.520 --> 0:50:54.080
<v Speaker 2>at Berkeley and at Stanford, and she has her own

0:50:54.120 --> 0:50:57.880
<v Speaker 2>consulting company helping people find physicists to work in their teams.

0:50:58.200 --> 0:51:01.120
<v Speaker 1>All right, Well, here is Daniel's interview doctor Kathy Kopeck

0:51:01.680 --> 0:51:03.920
<v Speaker 1>on how to think like a physicist and how to

0:51:03.920 --> 0:51:05.800
<v Speaker 1>get a job as as a physicist, or how to

0:51:05.840 --> 0:51:07.520
<v Speaker 1>pretend you're not a physicist to get a job. Is

0:51:07.560 --> 0:51:08.120
<v Speaker 1>that that?

0:51:08.600 --> 0:51:11.719
<v Speaker 2>Yeah, yeah, to get a non physics job if you

0:51:11.760 --> 0:51:15.520
<v Speaker 2>are a physicist, there you go. All right. So then

0:51:15.560 --> 0:51:18.319
<v Speaker 2>it's my great pleasure to introduce to the podcast my

0:51:18.440 --> 0:51:22.040
<v Speaker 2>friend and colleague, doctor Kathy Copik. Kathy, thanks very much

0:51:22.080 --> 0:51:22.880
<v Speaker 2>for joining us today.

0:51:23.440 --> 0:51:25.160
<v Speaker 8>Oh, thanks so much. I'm really excited.

0:51:25.640 --> 0:51:27.640
<v Speaker 2>Tell us a little bit about who you are, what

0:51:27.760 --> 0:51:30.800
<v Speaker 2>your background is. You have a special and unusual journey.

0:51:31.480 --> 0:51:35.480
<v Speaker 8>Oh yeah, thanks sure. So I was a physicist and

0:51:35.480 --> 0:51:37.120
<v Speaker 8>am a physicist. I don't know if we talked in

0:51:37.160 --> 0:51:40.600
<v Speaker 8>the past or present tense, but I worked in experimental

0:51:40.640 --> 0:51:45.560
<v Speaker 8>particle physicists for a long time, first actually in California

0:51:45.600 --> 0:51:49.000
<v Speaker 8>and but Bar, then outside Chicago on the CDs experiment

0:51:49.040 --> 0:51:52.880
<v Speaker 8>at Formulab. Then I was at CERN for a long time,

0:51:53.040 --> 0:51:57.640
<v Speaker 8>as were you, working on the Atlas experiment with Columbia

0:51:57.680 --> 0:51:59.600
<v Speaker 8>and then with Berkeley. So I just I was in

0:51:59.640 --> 0:52:04.160
<v Speaker 8>physics for a long time, studying the smallest things, and

0:52:04.200 --> 0:52:07.080
<v Speaker 8>then I worked in the last ten years a lot

0:52:07.120 --> 0:52:11.680
<v Speaker 8>on helping teams outside of academia think about how they

0:52:12.200 --> 0:52:14.200
<v Speaker 8>use data in lots of ways, and how they hire

0:52:14.280 --> 0:52:17.080
<v Speaker 8>their teams. I worked for about seven years at the

0:52:17.120 --> 0:52:20.279
<v Speaker 8>Insight Data Science Fellows Program, working with a lot of

0:52:20.280 --> 0:52:24.120
<v Speaker 8>scientists making a transition from working in science to working

0:52:24.520 --> 0:52:29.000
<v Speaker 8>in tech in business, and worked with literally thousands of

0:52:29.000 --> 0:52:32.800
<v Speaker 8>people making career transitions to literally hundreds of companies. And

0:52:32.840 --> 0:52:35.680
<v Speaker 8>now I work as a consultant field Work partners with

0:52:35.719 --> 0:52:38.239
<v Speaker 8>a friend and we help teams do the same kind

0:52:38.280 --> 0:52:39.800
<v Speaker 8>of things as consultants.

0:52:40.120 --> 0:52:42.480
<v Speaker 2>So this may seem like an obvious question, but why

0:52:42.520 --> 0:52:45.320
<v Speaker 2>are people making a transition. You're getting a PhD in

0:52:45.360 --> 0:52:48.120
<v Speaker 2>particle physics, You're studying the secrets of the universe. Why

0:52:48.120 --> 0:52:51.480
<v Speaker 2>are people then going to work for healthcare companies or whatever?

0:52:52.080 --> 0:52:55.920
<v Speaker 8>Sure, yeah, I say two main reasons. One is genuine interest.

0:52:56.000 --> 0:52:58.600
<v Speaker 8>You know, people are excited about and curious about lots

0:52:58.600 --> 0:53:00.359
<v Speaker 8>of things. It's one of the things that drive them

0:53:00.400 --> 0:53:03.359
<v Speaker 8>to be scientists in the first place. And I talk

0:53:03.480 --> 0:53:07.759
<v Speaker 8>to lots of people who are interviewing with our program

0:53:06.840 --> 0:53:11.040
<v Speaker 8>to make that transition, and people were like, you know,

0:53:11.080 --> 0:53:13.080
<v Speaker 8>I've done this thing for a long time and I

0:53:13.120 --> 0:53:15.439
<v Speaker 8>really like doing it, and now I'm interested in doing

0:53:15.440 --> 0:53:18.560
<v Speaker 8>something else. And so I think there is definitely genuine

0:53:18.600 --> 0:53:22.319
<v Speaker 8>interest and curiosity about what it's like. And then I

0:53:22.320 --> 0:53:24.400
<v Speaker 8>think on the other side, you know, the job market

0:53:24.400 --> 0:53:27.799
<v Speaker 8>for academics is very hard getting that next position, that

0:53:27.920 --> 0:53:31.960
<v Speaker 8>next position. Both it's very challenging. There's fewer and fewer

0:53:32.000 --> 0:53:35.920
<v Speaker 8>positions at every level, and so naturally people have to

0:53:35.960 --> 0:53:39.919
<v Speaker 8>exit academia. And also there's often fewer choice, like less

0:53:40.000 --> 0:53:41.960
<v Speaker 8>choice of each level, so you know where you're going

0:53:42.000 --> 0:53:43.640
<v Speaker 8>to live, what you're going to work on, who you're

0:53:43.680 --> 0:53:46.279
<v Speaker 8>going to work with. Getting those positions is pretty tough,

0:53:46.480 --> 0:53:48.440
<v Speaker 8>and so not just in physics, but in all fields

0:53:48.480 --> 0:53:54.400
<v Speaker 8>across academia. People transition out after their undergrad after their PhD,

0:53:54.680 --> 0:53:57.319
<v Speaker 8>after post docs, and sometimes at the faculty level as well.

0:53:58.160 --> 0:54:00.840
<v Speaker 2>So we're always telling our students, hey, come to a

0:54:00.840 --> 0:54:03.360
<v Speaker 2>PhD in physics because you're going to learn important skills

0:54:03.400 --> 0:54:05.680
<v Speaker 2>about thinking and you're going to train yourself to be

0:54:06.120 --> 0:54:09.680
<v Speaker 2>a smart person. And those skills are broadly applicable. And

0:54:09.760 --> 0:54:11.759
<v Speaker 2>I've never worked outside of academia, so I don't know

0:54:11.760 --> 0:54:14.080
<v Speaker 2>if I've been lying to people. Tell me, have I

0:54:14.120 --> 0:54:17.399
<v Speaker 2>been lying to people? What skills do physics PhDs learn

0:54:17.680 --> 0:54:20.160
<v Speaker 2>that are actually useful outside of particle physics?

0:54:20.600 --> 0:54:23.920
<v Speaker 8>Sure? Sure, I do not think you are lying to people.

0:54:23.960 --> 0:54:27.160
<v Speaker 8>I do think those skills are genuinely useful, and you

0:54:27.200 --> 0:54:29.000
<v Speaker 8>can tell when you see where people go on to

0:54:29.080 --> 0:54:31.680
<v Speaker 8>work after they've been in physics a lot of times

0:54:31.680 --> 0:54:35.800
<v Speaker 8>in physics, and also that's in other places. The skills

0:54:35.800 --> 0:54:40.120
<v Speaker 8>that people learn. I think there's three main things. The

0:54:40.160 --> 0:54:42.800
<v Speaker 8>first one is just trying to figure out how to

0:54:42.840 --> 0:54:47.200
<v Speaker 8>break a problem into smaller problems and questions, thinking about like, Okay,

0:54:47.239 --> 0:54:50.080
<v Speaker 8>there's this big question we have, like what's the smallest

0:54:50.120 --> 0:54:52.160
<v Speaker 8>thing in the universe, the thing that both you and

0:54:52.200 --> 0:54:54.680
<v Speaker 8>I worked on and so have the big question? But

0:54:54.719 --> 0:54:56.759
<v Speaker 8>then okay, how do I break that down into things

0:54:56.760 --> 0:54:59.319
<v Speaker 8>that can be measured or things that we can write

0:54:59.480 --> 0:55:03.720
<v Speaker 8>a theoretic model for. So breaking big questions into small

0:55:03.800 --> 0:55:06.840
<v Speaker 8>questions it's a really important skill if you want to

0:55:06.840 --> 0:55:09.359
<v Speaker 8>ask questions about the universe, but also if you want

0:55:09.360 --> 0:55:13.319
<v Speaker 8>to ask questions about a business, or you know, how

0:55:13.480 --> 0:55:15.680
<v Speaker 8>how many beds in a hospital are likely to be

0:55:15.719 --> 0:55:18.400
<v Speaker 8>available on a given day given the procedures and things

0:55:18.400 --> 0:55:21.200
<v Speaker 8>that are coming up, and how uncertain is it that

0:55:21.360 --> 0:55:24.000
<v Speaker 8>people will get discharged on a certain day. If you're

0:55:24.000 --> 0:55:27.120
<v Speaker 8>trying to build a model of anything, not just in science,

0:55:27.160 --> 0:55:29.600
<v Speaker 8>but also in the real world, breaking a big problem

0:55:29.600 --> 0:55:32.040
<v Speaker 8>into small questions is a big, big skill.

0:55:32.320 --> 0:55:34.120
<v Speaker 2>Let me drill into that a little bit. I understand

0:55:34.200 --> 0:55:35.920
<v Speaker 2>it's important to know, like how to get started on

0:55:35.960 --> 0:55:38.200
<v Speaker 2>a problem. You're working for a company and they give

0:55:38.200 --> 0:55:40.120
<v Speaker 2>you this project. They're like, build us this widget that

0:55:40.160 --> 0:55:42.160
<v Speaker 2>does that thing, and you need to know what to

0:55:42.200 --> 0:55:44.720
<v Speaker 2>do on day one so that after day ninety you're there.

0:55:45.480 --> 0:55:48.640
<v Speaker 2>Why is that something that physicists in particular are good at,

0:55:48.680 --> 0:55:51.200
<v Speaker 2>Like how does study in the nature of the universe

0:55:51.400 --> 0:55:54.600
<v Speaker 2>make you good at learning how to break down problems?

0:55:55.120 --> 0:55:57.880
<v Speaker 8>Yeah, a lot of things that physicists are good at

0:55:57.920 --> 0:56:01.359
<v Speaker 8>are think scientists in general are good at asking question

0:56:01.440 --> 0:56:05.400
<v Speaker 8>breaking it into problems, But physics in particular, I think

0:56:06.360 --> 0:56:09.520
<v Speaker 8>both people who are drawn to physics and physics education

0:56:09.680 --> 0:56:13.160
<v Speaker 8>reinforce the same thing, which is not just being a

0:56:13.200 --> 0:56:17.600
<v Speaker 8>little bit curious, but being like really curious. You know,

0:56:17.960 --> 0:56:21.520
<v Speaker 8>they're not just stopping at some level that's like a

0:56:21.560 --> 0:56:25.359
<v Speaker 8>service level or where there's maybe approximations or things you're

0:56:25.480 --> 0:56:29.000
<v Speaker 8>like really continuing to either you personally because it's how

0:56:29.040 --> 0:56:32.440
<v Speaker 8>you think about the world, or in your education, working

0:56:32.480 --> 0:56:36.400
<v Speaker 8>with your teachers and mentors are like really really really

0:56:36.480 --> 0:56:40.240
<v Speaker 8>drilling down to these questions, to the really basic pieces

0:56:40.280 --> 0:56:43.640
<v Speaker 8>of it. And I think that is unique to physics.

0:56:43.680 --> 0:56:46.640
<v Speaker 8>It's you know, the people who study physics have chosen

0:56:46.719 --> 0:56:50.120
<v Speaker 8>to kind of like continue down that path of questions

0:56:50.160 --> 0:56:53.680
<v Speaker 8>to where you know, there's things are not even alive anymore.

0:56:55.120 --> 0:56:59.239
<v Speaker 8>You're studying one atom, or studying how galaxies form, or

0:56:59.280 --> 0:57:05.440
<v Speaker 8>some like very complicated basic question about the universe. So

0:57:06.200 --> 0:57:08.440
<v Speaker 8>and I think it's true everybody takes a question and

0:57:08.480 --> 0:57:11.080
<v Speaker 8>breaks it into smaller questions in science, but in physics

0:57:11.960 --> 0:57:15.000
<v Speaker 8>really really trying to get to the most basic things

0:57:15.040 --> 0:57:16.040
<v Speaker 8>about how the world works.

0:57:16.120 --> 0:57:18.600
<v Speaker 2>Right, all right, So I interrupted you. You were telling us

0:57:18.920 --> 0:57:21.520
<v Speaker 2>the good things that physicists learned, and number one is

0:57:21.560 --> 0:57:23.600
<v Speaker 2>breaking things into pieces, and number two.

0:57:23.600 --> 0:57:26.920
<v Speaker 8>Was breaking things into pieces. Number two I think especially

0:57:26.920 --> 0:57:32.080
<v Speaker 8>in experimental physics working with very large general purpose data

0:57:32.120 --> 0:57:35.240
<v Speaker 8>sets and a lot of parts of science. You know,

0:57:35.320 --> 0:57:38.560
<v Speaker 8>every experimental science people have data sets. Sometimes they're very large,

0:57:39.160 --> 0:57:42.920
<v Speaker 8>but a lot of scientists create those data sets themselves

0:57:43.360 --> 0:57:45.400
<v Speaker 8>in a smaller group, so they have you know, they're

0:57:45.400 --> 0:57:48.800
<v Speaker 8>trying to study one thing about how a certain bacteria

0:57:49.080 --> 0:57:51.840
<v Speaker 8>does something, or you know, you're in their own lab

0:57:51.920 --> 0:57:54.280
<v Speaker 8>and they kind of know, oh, maybe the data from

0:57:54.480 --> 0:57:56.960
<v Speaker 8>July is no good because the temperature was off or something.

0:57:57.040 --> 0:58:01.560
<v Speaker 8>You know, they know the data often because they created it.

0:58:01.600 --> 0:58:05.240
<v Speaker 8>In physics, especially in experimental particle physics, where we both worked,

0:58:05.280 --> 0:58:08.000
<v Speaker 8>but also in astrophysics and lots of other areas of physics,

0:58:08.160 --> 0:58:12.160
<v Speaker 8>people have these very collaborative general purpose data sets that

0:58:12.200 --> 0:58:15.160
<v Speaker 8>are meant not just to answer one question, but you

0:58:15.200 --> 0:58:18.640
<v Speaker 8>can ask so many questions from them. And they're messy.

0:58:18.880 --> 0:58:22.640
<v Speaker 8>They're built, these detectors that are built, and we have problems,

0:58:22.680 --> 0:58:25.840
<v Speaker 8>some parts not working. Maybe that's showing up in some

0:58:26.440 --> 0:58:29.480
<v Speaker 8>initial variables, also in some calculated variables down the road.

0:58:29.520 --> 0:58:32.120
<v Speaker 8>You have to make corrections. Working with that kind of

0:58:32.240 --> 0:58:36.800
<v Speaker 8>general purpose data is a real skill because that real

0:58:36.840 --> 0:58:39.560
<v Speaker 8>world data that you might study if you're working at

0:58:39.600 --> 0:58:44.080
<v Speaker 8>a business or nonprofit or asking some questions about non

0:58:44.160 --> 0:58:47.280
<v Speaker 8>academic data, very similar to So that's a skill I

0:58:47.320 --> 0:58:50.640
<v Speaker 8>think people learn in physics. And then a third one

0:58:50.640 --> 0:58:55.080
<v Speaker 8>I would say is this collaboration working in. Not all

0:58:55.080 --> 0:58:57.200
<v Speaker 8>collaborations are as big as the ones that we worked on.

0:58:58.120 --> 0:59:01.959
<v Speaker 8>Most are not, but but working in everybody who's working

0:59:02.000 --> 0:59:04.960
<v Speaker 8>in physics and in science is really trying to figure

0:59:04.960 --> 0:59:07.920
<v Speaker 8>out what's already been done. Who has domain knowledge that

0:59:08.000 --> 0:59:10.200
<v Speaker 8>might help me figure out the piece of it that

0:59:10.240 --> 0:59:13.120
<v Speaker 8>I'm working on. How do I share what I'm working

0:59:13.160 --> 0:59:15.560
<v Speaker 8>on in a way that can make sense to build

0:59:15.600 --> 0:59:18.640
<v Speaker 8>some collaboration. How do I share my results back? How

0:59:18.680 --> 0:59:21.440
<v Speaker 8>do I write about and speak about what I learned

0:59:21.760 --> 0:59:24.800
<v Speaker 8>in a way that's going to help advance the research

0:59:24.840 --> 0:59:27.560
<v Speaker 8>on this question. So all of those I think are

0:59:27.600 --> 0:59:28.360
<v Speaker 8>really important.

0:59:28.520 --> 0:59:31.480
<v Speaker 2>So in understanding what it's like to think like a physicist,

0:59:31.880 --> 0:59:35.000
<v Speaker 2>I think one thing that's helpful is understanding where physicists

0:59:35.040 --> 0:59:37.280
<v Speaker 2>find their skills useful. So you told us the kind

0:59:37.280 --> 0:59:39.960
<v Speaker 2>of skills we learn, But where do people who have

0:59:40.080 --> 0:59:44.120
<v Speaker 2>been trained in particle physics end up making impacts in

0:59:44.160 --> 0:59:47.360
<v Speaker 2>the world outside of particle physics. Where are these skills helpful?

0:59:47.960 --> 0:59:48.200
<v Speaker 1>Yeah?

0:59:48.720 --> 0:59:52.480
<v Speaker 8>I think really everywhere. And I'm not just like trying

0:59:52.520 --> 0:59:56.120
<v Speaker 8>to make it seem just everywhere. But in all the

0:59:56.240 --> 0:59:58.680
<v Speaker 8>kinds of tech companies that you can think of that

0:59:58.760 --> 1:00:02.520
<v Speaker 8>are working today, people are doing interesting work. Also, small places,

1:00:02.880 --> 1:00:07.040
<v Speaker 8>nonprofits I mentioned initially. I mentioned this, like people working

1:00:07.040 --> 1:00:09.840
<v Speaker 8>at a hospital to try to figure out how to

1:00:10.560 --> 1:00:13.200
<v Speaker 8>build a system that helps predict when patients are going

1:00:13.240 --> 1:00:16.520
<v Speaker 8>to be coming in or not. People are working in pharmaceuticals,

1:00:16.560 --> 1:00:19.680
<v Speaker 8>just really in every area I think people are working.

1:00:19.720 --> 1:00:22.840
<v Speaker 8>I mean I yeah, there's there's so many ex article

1:00:22.920 --> 1:00:27.000
<v Speaker 8>business to know, so many of us that people go

1:00:27.120 --> 1:00:29.520
<v Speaker 8>in and people are driven and curious to work on

1:00:29.600 --> 1:00:33.480
<v Speaker 8>so many things that Yeah, just lots of places.

1:00:33.840 --> 1:00:36.560
<v Speaker 2>And you know, physics is very good broad training, but

1:00:36.600 --> 1:00:39.280
<v Speaker 2>we're not learning everything when people go out into the

1:00:39.280 --> 1:00:42.160
<v Speaker 2>world and try to work on actual practical problems with

1:00:42.360 --> 1:00:45.160
<v Speaker 2>real deliverables and stuff. What are some sort of blind spots.

1:00:45.160 --> 1:00:47.840
<v Speaker 2>What are some things that physicists don't learn that are

1:00:47.920 --> 1:00:49.200
<v Speaker 2>useful in the rest of the world.

1:00:50.000 --> 1:00:54.320
<v Speaker 8>Yeah, I think that all of those advantages, those superpowers

1:00:54.360 --> 1:00:57.040
<v Speaker 8>that I talked about have some kind of reverse kryptonite,

1:00:57.040 --> 1:01:00.560
<v Speaker 8>which is like being very curious and very detail oriented

1:01:00.600 --> 1:01:02.760
<v Speaker 8>and driven to like get to the very bottom of

1:01:02.800 --> 1:01:05.920
<v Speaker 8>the question is a good instinct in physics, it's important.

1:01:06.120 --> 1:01:10.600
<v Speaker 8>But sometimes in the business world you don't have the

1:01:10.720 --> 1:01:14.000
<v Speaker 8>time or resources to like get really to the very

1:01:14.040 --> 1:01:16.080
<v Speaker 8>bottom of something, and you have to kind of step

1:01:16.120 --> 1:01:19.320
<v Speaker 8>back and make an approximation or maybe we're only going

1:01:19.400 --> 1:01:20.840
<v Speaker 8>to run this thing for a week and we're going

1:01:20.880 --> 1:01:22.240
<v Speaker 8>to get as far as we're going to get, but

1:01:22.640 --> 1:01:24.040
<v Speaker 8>at the end, what we're trying to do is like

1:01:24.200 --> 1:01:26.959
<v Speaker 8>recommend the next song for someone, or recommend the next

1:01:27.400 --> 1:01:30.560
<v Speaker 8>for someone to watch. And so actually it's okay if

1:01:30.640 --> 1:01:33.840
<v Speaker 8>like we don't understand everything about this, and so sometimes

1:01:33.880 --> 1:01:35.680
<v Speaker 8>taking that step back and being like, you know, this

1:01:35.800 --> 1:01:39.040
<v Speaker 8>isn't a six month project or a six year project.

1:01:39.080 --> 1:01:42.280
<v Speaker 8>This is like a six week project, and we're gonna

1:01:42.360 --> 1:01:44.760
<v Speaker 8>build something and we're gonna ship it and it's going

1:01:44.840 --> 1:01:46.360
<v Speaker 8>to be good enough for that need, you know. And

1:01:46.400 --> 1:01:48.640
<v Speaker 8>there are areas where that's true. And then there are areas,

1:01:48.880 --> 1:01:52.840
<v Speaker 8>you know, where like in health and healthcare, where you

1:01:52.880 --> 1:01:54.640
<v Speaker 8>don't want to make errors. And so I think people

1:01:54.720 --> 1:01:59.120
<v Speaker 8>kind of through their personality might choose areas where it's

1:01:59.120 --> 1:02:02.439
<v Speaker 8>okay to you know, recommend the next song for someone

1:02:02.480 --> 1:02:04.840
<v Speaker 8>they might not enjoy as much. Where it's not okay

1:02:04.880 --> 1:02:08.080
<v Speaker 8>to recommend, you know, a medication to someone that's not

1:02:08.120 --> 1:02:10.440
<v Speaker 8>the right fit for them, right if it's you know,

1:02:10.560 --> 1:02:13.200
<v Speaker 8>and there's still usually in a healthcare setting, there would be

1:02:13.240 --> 1:02:15.600
<v Speaker 8>a doctor that would be the prescriber. But if you

1:02:15.600 --> 1:02:19.120
<v Speaker 8>have a tool that's very biased or making wrong predictions

1:02:19.560 --> 1:02:23.480
<v Speaker 8>for something that's really important like healthcare. You know, there's

1:02:23.560 --> 1:02:24.640
<v Speaker 8>less room for error.

1:02:25.400 --> 1:02:28.040
<v Speaker 2>So you've helped a lot of people figure out how

1:02:28.040 --> 1:02:31.080
<v Speaker 2>to go from particle physics to someplace in the real

1:02:31.120 --> 1:02:33.120
<v Speaker 2>world where they can make a contribution. How do you

1:02:33.160 --> 1:02:35.400
<v Speaker 2>do that? How do you like get to know somebody

1:02:35.400 --> 1:02:38.000
<v Speaker 2>and figure out, like what are their strengths and weaknesses

1:02:38.040 --> 1:02:40.000
<v Speaker 2>and how does it fit. I mean, you're basically like

1:02:40.040 --> 1:02:43.960
<v Speaker 2>the yinta of particle physics and jobs. But tell us

1:02:44.000 --> 1:02:44.760
<v Speaker 2>about your process.

1:02:44.880 --> 1:02:47.280
<v Speaker 8>Sure, sure, everybody is very different. That's one thing that

1:02:47.320 --> 1:02:50.080
<v Speaker 8>I enjoy about it. So you know, some people need

1:02:50.120 --> 1:02:52.680
<v Speaker 8>to grow or change in one area, where other folks

1:02:52.680 --> 1:02:55.160
<v Speaker 8>that's very different for them. I think the first thing

1:02:55.480 --> 1:02:58.200
<v Speaker 8>that I try to ask is what motivates people, what

1:02:58.200 --> 1:03:00.840
<v Speaker 8>they're excited by. You know, some people are very excited

1:03:00.880 --> 1:03:04.000
<v Speaker 8>by the impact in the real world and the people

1:03:04.040 --> 1:03:05.919
<v Speaker 8>that might use or be helped by the thing they're

1:03:05.960 --> 1:03:08.840
<v Speaker 8>working on. Other folks are very excited about the technical

1:03:08.880 --> 1:03:12.240
<v Speaker 8>tools themselves, like getting to use the most advanced tools

1:03:12.280 --> 1:03:15.760
<v Speaker 8>and models and getting to work on something technically very exciting.

1:03:16.200 --> 1:03:19.920
<v Speaker 8>Other people are have worked very deeply and you know,

1:03:20.040 --> 1:03:22.959
<v Speaker 8>worked ten years on one thing and are actually looking

1:03:23.080 --> 1:03:25.400
<v Speaker 8>to do something more broad like they're like, oh, I

1:03:25.400 --> 1:03:28.080
<v Speaker 8>want to learn about a lot of things. Some people

1:03:28.120 --> 1:03:30.080
<v Speaker 8>love to interact with a lot of people. Some people

1:03:30.120 --> 1:03:32.000
<v Speaker 8>want to be a little bit more like I kind

1:03:32.000 --> 1:03:33.600
<v Speaker 8>of want to be given the thing and do my

1:03:33.640 --> 1:03:37.080
<v Speaker 8>own thing. And so I think there's very different work

1:03:37.440 --> 1:03:41.320
<v Speaker 8>for people depending on what they like and what they're

1:03:41.360 --> 1:03:43.520
<v Speaker 8>interested in. And so once you know a little bit

1:03:43.520 --> 1:03:45.920
<v Speaker 8>more about that, like what are the constraints around the

1:03:46.000 --> 1:03:48.560
<v Speaker 8>kind of jobs that people are looking for, then I

1:03:48.560 --> 1:03:52.800
<v Speaker 8>think it's easy to recommend specific like okay, well, and

1:03:52.840 --> 1:03:55.320
<v Speaker 8>based on geography too, like there's just different kinds of

1:03:55.400 --> 1:03:58.240
<v Speaker 8>jobs in different places in North America in the world,

1:03:58.640 --> 1:04:02.240
<v Speaker 8>and so okay, well, for you, it sounds like you're

1:04:02.280 --> 1:04:04.800
<v Speaker 8>excited about this and you're living here and these are

1:04:04.840 --> 1:04:10.360
<v Speaker 8>your experiences. Helping people describe what they've done and what

1:04:10.400 --> 1:04:14.440
<v Speaker 8>they want to do next. People usually don't need to

1:04:14.440 --> 1:04:17.560
<v Speaker 8>build new skills. They have a lot of skills. It's

1:04:17.600 --> 1:04:21.080
<v Speaker 8>just they need to have some kind of exploration of

1:04:21.120 --> 1:04:25.919
<v Speaker 8>the space of available things, what they want, what they have,

1:04:26.360 --> 1:04:30.280
<v Speaker 8>how they can describe what they've done and maybe demonstrate

1:04:30.280 --> 1:04:34.240
<v Speaker 8>it in a different way by talking about it differently.

1:04:35.440 --> 1:04:37.120
<v Speaker 8>Those are the main things I think I would do.

1:04:37.600 --> 1:04:39.840
<v Speaker 2>So, I've seen a lot of physicists end up like

1:04:39.960 --> 1:04:43.640
<v Speaker 2>on Wall Street or in data science. These seem to

1:04:43.720 --> 1:04:47.400
<v Speaker 2>be places like where that community has an appetite for it.

1:04:47.440 --> 1:04:50.360
<v Speaker 2>They're like, oh, yeah, we like hiring physicists or whatever. Yeah,

1:04:50.680 --> 1:04:53.160
<v Speaker 2>but tell us some other places where physicists might end

1:04:53.240 --> 1:04:56.800
<v Speaker 2>up some you know, maybe unusual or bizarre places physics

1:04:56.800 --> 1:04:57.880
<v Speaker 2>PhDs end up working in.

1:04:58.120 --> 1:05:02.080
<v Speaker 8>Yeah, that's a good question. I do you think people

1:05:02.240 --> 1:05:05.960
<v Speaker 8>end up in a lot of places that basically anywhere

1:05:06.040 --> 1:05:11.320
<v Speaker 8>where people are like building some models to help a

1:05:11.400 --> 1:05:14.920
<v Speaker 8>system run better. So it could be you know, things education,

1:05:15.200 --> 1:05:18.360
<v Speaker 8>educational software. People are trying to build ways to help

1:05:18.480 --> 1:05:21.400
<v Speaker 8>kids learn to read and learn to do math. There's

1:05:21.680 --> 1:05:25.000
<v Speaker 8>all kinds of games that people work on. Anything that

1:05:25.040 --> 1:05:29.640
<v Speaker 8>you buy or sell clothes or you know, any sort

1:05:29.680 --> 1:05:32.160
<v Speaker 8>of products, any sort of recommendations for things that you're

1:05:32.320 --> 1:05:35.040
<v Speaker 8>that people are working on. Anything in the healthcare industry.

1:05:35.080 --> 1:05:38.840
<v Speaker 8>I talked about that a lot already. Anything in the

1:05:39.000 --> 1:05:41.520
<v Speaker 8>kind of broad tech you see, there's a ton of

1:05:42.760 --> 1:05:46.160
<v Speaker 8>work right now in AI, certainly large language models. A

1:05:46.200 --> 1:05:48.520
<v Speaker 8>lot of people from physics are working on those tools

1:05:48.600 --> 1:05:52.280
<v Speaker 8>at all the places you can imagine. There's really a

1:05:52.320 --> 1:05:54.480
<v Speaker 8>lot of a lot of places. I can't think of

1:05:54.600 --> 1:05:59.080
<v Speaker 8>one like fun especially funny, Like, oh, here's one thing

1:05:59.120 --> 1:06:02.360
<v Speaker 8>you can think of. But in every area media, fashion,

1:06:03.040 --> 1:06:05.440
<v Speaker 8>people are working in all sorts of areas.

1:06:05.200 --> 1:06:08.520
<v Speaker 2>People working on like optimizing you know, underwear sizes and

1:06:08.520 --> 1:06:09.080
<v Speaker 2>stuff like this.

1:06:09.280 --> 1:06:13.280
<v Speaker 8>For sure, for sure, that's particle physics at work. That's right,

1:06:14.160 --> 1:06:16.440
<v Speaker 8>it's funny and it's a joke. But it's also true

1:06:16.440 --> 1:06:19.400
<v Speaker 8>that like I don't know, for me, finding clothes that

1:06:19.440 --> 1:06:21.080
<v Speaker 8>fit is actually really nice.

1:06:21.200 --> 1:06:23.400
<v Speaker 2>Yes, it's an important, unsolved fart. You can make a

1:06:23.440 --> 1:06:25.160
<v Speaker 2>real impact in people's daily lives.

1:06:25.480 --> 1:06:27.320
<v Speaker 8>I mean, it's like a little bit silly, But it's

1:06:27.360 --> 1:06:29.480
<v Speaker 8>also true that there's a lot of I think there's

1:06:29.480 --> 1:06:32.200
<v Speaker 8>a lot of systems where people have just done the

1:06:32.240 --> 1:06:34.800
<v Speaker 8>same thing forever and having a fresh take on it

1:06:34.800 --> 1:06:35.520
<v Speaker 8>can be helpful.

1:06:35.720 --> 1:06:37.960
<v Speaker 2>Yeah, everybody's got like their favorite pair of jeans or

1:06:38.000 --> 1:06:39.720
<v Speaker 2>their favorite pair of underwear, and there's a reason they

1:06:39.760 --> 1:06:43.919
<v Speaker 2>fit right, it feels good. So there's this lore going

1:06:43.960 --> 1:06:46.240
<v Speaker 2>around that I hear a lot that one of the

1:06:46.280 --> 1:06:50.040
<v Speaker 2>reasons behind the two thousand and eight financial collapse was

1:06:50.560 --> 1:06:53.280
<v Speaker 2>that Wall Street went a little bit crazy with its modeling,

1:06:53.520 --> 1:06:55.960
<v Speaker 2>and that there were these crazy quants and that most

1:06:56.000 --> 1:06:59.040
<v Speaker 2>of them were ex physicists who didn't really understand the

1:06:59.040 --> 1:07:01.920
<v Speaker 2>system and just like wrote a bunch of code that

1:07:01.960 --> 1:07:06.120
<v Speaker 2>went crazy and destroyed people's lives. So would they have

1:07:06.200 --> 1:07:09.000
<v Speaker 2>to say that did just call the cause the financial

1:07:09.080 --> 1:07:10.120
<v Speaker 2>collapse or not?

1:07:11.440 --> 1:07:17.960
<v Speaker 8>Probably not alone. I'll say that the I do you

1:07:18.040 --> 1:07:23.000
<v Speaker 8>think there's a superpower kryptonite that physicists are very interested in,

1:07:23.240 --> 1:07:25.880
<v Speaker 8>you know, going down to the root causes the basic

1:07:27.480 --> 1:07:29.160
<v Speaker 8>how do you take this problem break it into the

1:07:29.160 --> 1:07:32.800
<v Speaker 8>basic parts? And I think that the cryptonite version of

1:07:32.840 --> 1:07:34.800
<v Speaker 8>that is like thinking that you can do that in

1:07:34.840 --> 1:07:39.320
<v Speaker 8>any field, for any topic without necessarily consulting and learning

1:07:39.320 --> 1:07:42.760
<v Speaker 8>about the domaining knowledge of the practitioners or people that

1:07:42.800 --> 1:07:46.439
<v Speaker 8>have worked in that area. There's a famous data science person,

1:07:46.520 --> 1:07:49.520
<v Speaker 8>Drew Conway used to say, physicists where like kind of

1:07:49.520 --> 1:07:51.640
<v Speaker 8>like wil to beasts that would like run into an

1:07:51.680 --> 1:07:54.960
<v Speaker 8>area that seems interesting, like biophysics, right, It's like, oh,

1:07:55.200 --> 1:07:57.360
<v Speaker 8>there's something interesting there. All the physics here comes a

1:07:57.360 --> 1:07:59.440
<v Speaker 8>lot of old you know, ex physicists who are like,

1:07:59.760 --> 1:08:02.040
<v Speaker 8>we'll solve all the problems. And so when I would

1:08:02.080 --> 1:08:04.240
<v Speaker 8>give talks to physics. I would say, don't be a

1:08:04.280 --> 1:08:08.600
<v Speaker 8>will to beast, like, don't run into their area to

1:08:08.640 --> 1:08:10.840
<v Speaker 8>a new area. So these maybe these two thousand and

1:08:10.840 --> 1:08:13.080
<v Speaker 8>eight physicists are kind of just like I know, I'll

1:08:13.080 --> 1:08:15.080
<v Speaker 8>break down this problem into these parts and look what

1:08:15.120 --> 1:08:17.640
<v Speaker 8>I'm doing, isn't it cool? But if there is a

1:08:17.640 --> 1:08:22.599
<v Speaker 8>little bit more domain knowledge or thought around, how could

1:08:22.600 --> 1:08:26.439
<v Speaker 8>this go wrong? How might this affect people who? Why

1:08:26.520 --> 1:08:31.160
<v Speaker 8>might we not do this? They could have avoided some

1:08:31.200 --> 1:08:31.879
<v Speaker 8>bad outcomes?

1:08:32.000 --> 1:08:34.400
<v Speaker 2>All right, So maybe we're not totally guilty, just partially.

1:08:35.280 --> 1:08:35.479
<v Speaker 8>Yeah.

1:08:36.040 --> 1:08:38.920
<v Speaker 2>So a lot of our audience are folks who like

1:08:38.960 --> 1:08:41.439
<v Speaker 2>physics and like thinking about physics and have been listening

1:08:41.479 --> 1:08:44.080
<v Speaker 2>to the pod and learning to think like a physicist

1:08:44.120 --> 1:08:47.080
<v Speaker 2>and applying you know, that mental model to questions about

1:08:47.120 --> 1:08:49.840
<v Speaker 2>the universe. But what would be your advice for somebody

1:08:49.840 --> 1:08:52.760
<v Speaker 2>out there who wants to take advantage of this way

1:08:52.800 --> 1:08:55.519
<v Speaker 2>of thinking, somebody who's not necessarily trained as a physicist

1:08:55.560 --> 1:08:58.479
<v Speaker 2>but wants to learn to think like a physicist. What

1:08:58.479 --> 1:09:00.960
<v Speaker 2>would be your advice for learn need to think that way?

1:09:01.560 --> 1:09:04.240
<v Speaker 8>Yeah? I think there's this. I'm sure you talk about

1:09:04.320 --> 1:09:08.599
<v Speaker 8>the Drake's equation, which is used for thinking about where

1:09:08.680 --> 1:09:10.559
<v Speaker 8>extraterrestrial life might be in the Milky Way?

1:09:10.640 --> 1:09:10.760
<v Speaker 2>Right?

1:09:10.840 --> 1:09:13.080
<v Speaker 8>Is that right? Probably know much more of that. So

1:09:13.560 --> 1:09:15.960
<v Speaker 8>that's the thing where you kind of are taking these pieces.

1:09:16.320 --> 1:09:19.160
<v Speaker 8>Anybody can look up the Drake equation or Drake's equation

1:09:19.520 --> 1:09:22.719
<v Speaker 8>and taking these pieces and trying to put it together

1:09:22.840 --> 1:09:24.759
<v Speaker 8>to get one answer. And I went to a business

1:09:24.800 --> 1:09:27.800
<v Speaker 8>class where people were talking about using the same sort

1:09:27.840 --> 1:09:31.160
<v Speaker 8>of thing to model businesses or other processes where it's

1:09:31.240 --> 1:09:35.040
<v Speaker 8>just trying to think about anybody can think about what

1:09:35.160 --> 1:09:40.839
<v Speaker 8>are the parts that come together to create some answer

1:09:40.960 --> 1:09:43.680
<v Speaker 8>or some prediction. And so just take thinking about that.

1:09:43.920 --> 1:09:47.280
<v Speaker 8>Breaking something up into things that you can measure individually

1:09:47.360 --> 1:09:50.080
<v Speaker 8>or you can think about individually, can really help solve

1:09:50.080 --> 1:09:53.120
<v Speaker 8>a problem, whether it's a science problem, business problem, any

1:09:53.200 --> 1:09:53.879
<v Speaker 8>kind of problems.

1:09:53.920 --> 1:09:55.800
<v Speaker 2>All right, So then last question, a bit of a

1:09:55.800 --> 1:09:59.200
<v Speaker 2>personal one. What do you miss most about actively working

1:09:59.280 --> 1:10:01.880
<v Speaker 2>in physics? Say about being a physicist, because I think

1:10:01.920 --> 1:10:04.719
<v Speaker 2>you're always a physicist once you're trying, like once a Jedi,

1:10:04.800 --> 1:10:07.200
<v Speaker 2>always in Jedi. But what do you miss most about

1:10:07.200 --> 1:10:10.760
<v Speaker 2>like working on particle physics other than working with me?

1:10:10.880 --> 1:10:17.160
<v Speaker 8>Obviously I was gonna say, I mean, you're joking, but

1:10:17.680 --> 1:10:23.320
<v Speaker 8>I think I really really did. There's a very special, fun,

1:10:23.760 --> 1:10:27.040
<v Speaker 8>exciting environment of being at the lab in these big

1:10:27.080 --> 1:10:30.640
<v Speaker 8>experiments at both that you know, at Slack in California,

1:10:30.760 --> 1:10:35.160
<v Speaker 8>Fermi Lab, Brooke Caven Cern that these labs just it's

1:10:35.200 --> 1:10:38.080
<v Speaker 8>really literally people from all over the world and having

1:10:38.160 --> 1:10:42.519
<v Speaker 8>lunch together and the big cafeteria. Cerns called our one

1:10:42.920 --> 1:10:46.439
<v Speaker 8>restaurant one a very creative name. I don't know if

1:10:46.439 --> 1:10:48.360
<v Speaker 8>it still is. It's not named after someone now, is

1:10:48.400 --> 1:10:51.679
<v Speaker 8>it still our one? Yeah? So our one. So if

1:10:51.680 --> 1:10:55.200
<v Speaker 8>you're there for lunch or for coffee or the end

1:10:55.200 --> 1:10:57.679
<v Speaker 8>of the day, it's just really fun to run into

1:10:57.760 --> 1:11:00.400
<v Speaker 8>so many people then you've worked with over your whole career,

1:11:00.640 --> 1:11:02.800
<v Speaker 8>people who are getting into the field, people who are

1:11:03.320 --> 1:11:05.719
<v Speaker 8>very senior. You never know who's going to be there.

1:11:06.920 --> 1:11:10.479
<v Speaker 8>Just having some food, drinking coffee and getting to talk

1:11:10.479 --> 1:11:13.040
<v Speaker 8>to people about what they're working on and also what

1:11:13.040 --> 1:11:16.360
<v Speaker 8>they're doing and how they are. It's very very fun

1:11:16.920 --> 1:11:21.000
<v Speaker 8>memories of hanging out there with all sorts of people,

1:11:21.360 --> 1:11:24.080
<v Speaker 8>and yeah, no, it was a great time. So I

1:11:24.120 --> 1:11:28.400
<v Speaker 8>would say just missing being with all the people that

1:11:29.160 --> 1:11:31.679
<v Speaker 8>we used to work with and getting to meet new people.

1:11:31.920 --> 1:11:34.840
<v Speaker 8>That's a really truly international environment too, really fun.

1:11:35.040 --> 1:11:37.799
<v Speaker 2>It is fun to hear conversations in so many different languages.

1:11:38.880 --> 1:11:41.880
<v Speaker 2>I like running into the same really old Nobel Prize

1:11:41.880 --> 1:11:44.200
<v Speaker 2>winners over and over again, introducing myself every single time

1:11:44.240 --> 1:11:46.040
<v Speaker 2>because they don't remember me because they're like one hundred

1:11:46.040 --> 1:11:49.200
<v Speaker 2>and fifty years old. And I also remember one of

1:11:49.200 --> 1:11:51.840
<v Speaker 2>the first times I was at our one and you

1:11:51.920 --> 1:11:54.559
<v Speaker 2>had some special trick for making an iced coffee. When

1:11:54.600 --> 1:11:56.479
<v Speaker 2>you showed it to meet and Katrina and for the

1:11:56.479 --> 1:11:58.000
<v Speaker 2>rest of the summer we were like, oh, let's get

1:11:58.040 --> 1:12:01.200
<v Speaker 2>a Kathy. We called it a kathy, you know, a coppuccino.

1:12:01.360 --> 1:12:06.600
<v Speaker 8>That's yeah, yeah, I've made up created a TGI Fridays.

1:12:06.840 --> 1:12:09.559
<v Speaker 8>I don't know if you're looking for sponsorships Stan TGI

1:12:09.720 --> 1:12:13.759
<v Speaker 8>Fridays the restaurant when I was a server there, created

1:12:13.800 --> 1:12:15.479
<v Speaker 8>the Copacina Cocino delicious.

1:12:15.520 --> 1:12:16.840
<v Speaker 2>Thank you got us through that summer.

1:12:17.240 --> 1:12:19.519
<v Speaker 8>Yeah, they don't have They didn't have cappuccino machines. That's

1:12:19.520 --> 1:12:23.400
<v Speaker 8>sort They had espresso machines, but no, no cappuccino machines,

1:12:23.400 --> 1:12:25.200
<v Speaker 8>so you got to figure it out all right.

1:12:25.280 --> 1:12:27.680
<v Speaker 2>Well, thanks very much for sharing with us how to

1:12:27.760 --> 1:12:29.600
<v Speaker 2>think like a physicist, and how to drink coffee like

1:12:29.640 --> 1:12:31.760
<v Speaker 2>a physicist. Really appreciate it.

1:12:32.280 --> 1:12:34.679
<v Speaker 8>We'll put the put the recipe people.

1:12:35.960 --> 1:12:40.200
<v Speaker 2>In the show notes for Copucina show notes. All right,

1:12:40.280 --> 1:12:40.840
<v Speaker 2>thanks Kathy.

1:12:41.320 --> 1:12:44.160
<v Speaker 1>All Right, interesting talk there, Daniel. It seems like she's

1:12:44.360 --> 1:12:45.759
<v Speaker 1>basically saying we all have skills.

1:12:48.120 --> 1:12:50.160
<v Speaker 2>Everybody's skills are different at least. Yeah. I think she

1:12:50.240 --> 1:12:53.400
<v Speaker 2>probably aligns with you to think that, like scientists are

1:12:53.439 --> 1:12:56.080
<v Speaker 2>all curious thinkers and mental model builders, and not even

1:12:56.120 --> 1:12:58.880
<v Speaker 2>all physicists are the same. We all think differently and

1:12:59.000 --> 1:13:01.800
<v Speaker 2>enjoy different parts of the process. Hmm.

1:13:03.000 --> 1:13:05.360
<v Speaker 1>And that can help you get a job, right, because

1:13:05.560 --> 1:13:07.640
<v Speaker 1>these are all skills that we could all use in

1:13:07.680 --> 1:13:08.120
<v Speaker 1>every field.

1:13:08.160 --> 1:13:10.760
<v Speaker 2>Probably, yeah, exactly. And so in the end, thinking like

1:13:10.800 --> 1:13:13.559
<v Speaker 2>a physicist is just like thinking like a scientist, being

1:13:13.640 --> 1:13:16.920
<v Speaker 2>a curious person, trying to understand the world, being methodical

1:13:17.120 --> 1:13:19.439
<v Speaker 2>about it, try not to fool yourself with what the

1:13:19.560 --> 1:13:20.200
<v Speaker 2>data is telling you.

1:13:20.960 --> 1:13:25.320
<v Speaker 1>Yeah, and just trying to maximize your functionality to the stakeholders.

1:13:26.520 --> 1:13:27.080
<v Speaker 2>Exactly.

1:13:27.479 --> 1:13:32.920
<v Speaker 1>Maximize shareholder revenue, maximize physicists employment.

1:13:35.160 --> 1:13:37.439
<v Speaker 2>Try not to cause any more financial collapses. Please.

1:13:37.640 --> 1:13:41.080
<v Speaker 1>All right, Well, an interesting discussion about thinking like a scientist,

1:13:41.160 --> 1:13:44.680
<v Speaker 1>thinking like a physicist, what are the commonalities and how

1:13:44.840 --> 1:13:48.120
<v Speaker 1>things might be a little bit unique. For people who

1:13:48.160 --> 1:13:49.680
<v Speaker 1>pursue physics as a career.

1:13:49.880 --> 1:13:52.000
<v Speaker 2>And for those of you out there not pursuing physics

1:13:52.040 --> 1:13:54.960
<v Speaker 2>as a career, but who have discovered a love for physics,

1:13:55.080 --> 1:13:58.200
<v Speaker 2>keep doing it, keep thinking like a physicist or a scientist,

1:13:58.280 --> 1:14:00.560
<v Speaker 2>and keep being curious about the world and trying to

1:14:00.640 --> 1:14:02.920
<v Speaker 2>make the whole thing click together in your mind.

1:14:03.080 --> 1:14:05.680
<v Speaker 1>Yeah, but mostly just keep thinking, please.

1:14:06.840 --> 1:14:08.120
<v Speaker 2>And keep listening to the pod.

1:14:08.240 --> 1:14:11.280
<v Speaker 1>Thanks everybody, We hope you enjoyed that. Thanks for joining us.

1:14:12.040 --> 1:14:12.800
<v Speaker 1>See you next time.

1:14:17.720 --> 1:14:20.559
<v Speaker 2>For more science and curiosity, come find us on social

1:14:20.640 --> 1:14:25.519
<v Speaker 2>media where we answer questions and post videos. We're on Twitter, Discorg, Insta,

1:14:25.640 --> 1:14:29.360
<v Speaker 2>and now TikTok. Thanks for listening and remember that Daniel

1:14:29.360 --> 1:14:32.800
<v Speaker 2>and Jorge Explain the Universe is a production of iHeartRadio.

1:14:33.120 --> 1:14:38.200
<v Speaker 2>For more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts,

1:14:38.400 --> 1:14:40.719
<v Speaker 2>or wherever you listen to your favorite shows.