WEBVTT - How to think like a physicist?

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<v Speaker 4>Andy Daniel, did you always want to be a paid physicist?

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<v Speaker 1>Definitely not. When I was a kid, I did not

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<v Speaker 1>want to be a physicist.

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<v Speaker 4>Really, you knew what it was, but you knew you

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<v Speaker 4>didn't want to be one.

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<v Speaker 1>I don't think I understood what a scientist was well enough.

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<v Speaker 1>But when I was a kid, I wanted to be

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<v Speaker 1>an explorer. I wanted to get on a ship and

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<v Speaker 1>find some new island and name it after myself.

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<v Speaker 4>You just about to get out of Los Alamos, said

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<v Speaker 4>the main purpose here.

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<v Speaker 1>Yeah, though you can't really take a ship out of

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<v Speaker 1>Los Alamos because it's landlocked. So there were some basic

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<v Speaker 1>problems in my thinking.

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<v Speaker 4>Well, you could take a train and then aship. But

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<v Speaker 4>don't they say everyone's a physicists, especially little kids.

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<v Speaker 1>Yeah. I think everybody is a scientist because they are

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<v Speaker 1>curious about the world. And in the end I discovered

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<v Speaker 1>that being a physicist it's kind of like being an explorer,

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<v Speaker 1>except instead of discovering new continents, we're trying to discover

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<v Speaker 1>new frontiers of knowledge.

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<v Speaker 4>Instead of surfing the waves out there and the sea,

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<v Speaker 4>you're surfing the couch. Mostly.

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<v Speaker 1>I'm clickly clacking my way to new shores of knowledge.

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<v Speaker 4>Just don't get scurvy on your couch.

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<v Speaker 1>I got a bowl of limes here next to.

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<v Speaker 4>Me, Okay, with the tequila and the margaritas. That's for

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<v Speaker 4>after work, After work work these days? What's the difference.

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<v Speaker 4>Hi'm Hori. I'm a cartoonist and the author of Oliver's

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<v Speaker 4>Great Big Universe.

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<v Speaker 1>Hi I'm Daniel. I'm a particle physicist and a professor

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<v Speaker 1>at UC Irvine, and I want to teach people to

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<v Speaker 1>think like a physicist.

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<v Speaker 4>Wait, I'm confused. If everyone's a physicist, aren't just teaching

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<v Speaker 4>people to think like humans?

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<v Speaker 1>Yeah, basically, I'm done. I can retire. It's after work time.

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<v Speaker 1>Where's margarita?

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<v Speaker 4>I know, let's get the shots going.

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<v Speaker 1>No, I think everybody does have curiosity, but you know,

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<v Speaker 1>it took us a while to figure out some tips

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<v Speaker 1>and some tricks to effectively extract knowledge from the universe

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<v Speaker 1>rather than just like you know, making up cute stories

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<v Speaker 1>to satisfy our curiosity.

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<v Speaker 4>Right, it probably took a while to get paid to

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<v Speaker 4>do it too.

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<v Speaker 1>Yeah, that's certainly true. A lot of the big names

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<v Speaker 1>in the history of science were men of leisure, you know,

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<v Speaker 1>operating on their trust funds or daddy's bank account.

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<v Speaker 4>Who do you think was the first professional physicist?

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<v Speaker 1>You know, science as a profession is not actually that old.

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<v Speaker 1>It's something like in the late eighteen hundreds that people

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<v Speaker 1>started to call themselves scientists and get paid to do it.

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<v Speaker 1>There are money to hire people to do this kind

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<v Speaker 1>of research. Until then, it was you know, natural philosophers

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<v Speaker 1>and people just sort of like curious poking around in

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<v Speaker 1>their own laboratories. Yeah, but scientists as a job is

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<v Speaker 1>not much more than like one hundred years old.

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<v Speaker 4>WHOA. So even the word science is relatively new.

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<v Speaker 1>Yeah, exactly. If you ask like Gauss or Newton or

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<v Speaker 1>leading It or Aristotle, they certainly would not call themselves

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<v Speaker 1>a scientist. That's a new word.

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<v Speaker 4>Or maybe they did it on purpose. They're like science, No, thanks,

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<v Speaker 4>it's a new fangled thing that all the kids are

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<v Speaker 4>talking about. I prefer to be a natural philosopher. But anyways,

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<v Speaker 4>welcome to our podcast. Daniel and Jorge explain the universe

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<v Speaker 4>a production of iHeartRadio.

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<v Speaker 1>In which we do our best to demonstrate what it's

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<v Speaker 1>like to think like a physicist. We take a physicist

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<v Speaker 1>approach to dismantling the whole universe, understanding all of its

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<v Speaker 1>little bits, building mental mathematical models to try to explain it,

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<v Speaker 1>asking questions of those models, and then wondering what does

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<v Speaker 1>it all mean anyway?

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<v Speaker 4>Yeah, because, as we talked about before, the universe belongs

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<v Speaker 4>to everyone, and asking questions is everyone's job, but a

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<v Speaker 4>few people get to do it as a career, get.

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<v Speaker 1>To Yes, exactly. It's definitely a treat and a privilege.

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<v Speaker 4>Well you get paid to do it, I guess, and

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<v Speaker 4>to do that, there's a certain mindset you have to have,

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<v Speaker 4>right in order to be part of the profession.

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<v Speaker 1>Yeah, there definitely is a way of thinking that's sort

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<v Speaker 1>of like a physicist way of thinking. And I see

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<v Speaker 1>this because people who are trained as physicists and then

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<v Speaker 1>go out into the world and work in other areas

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<v Speaker 1>chemistry or engineering or computer science still take with them

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<v Speaker 1>a certain mindset, a certain way of approaching problems, which

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<v Speaker 1>can be really really helpful and useful or also sometimes

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<v Speaker 1>frustrating for their colleagues.

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<v Speaker 4>Yeah, no, I can totally relate. I think that also

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<v Speaker 4>the same is for engineers. You know, anyone who studied

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<v Speaker 4>engineering definitely thinks like an engineer is trying to think

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<v Speaker 4>it a certain way and a certain mind. Said about

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<v Speaker 4>tackling problems for sure.

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<v Speaker 1>Yeah, absolutely take an engineering approach to cartooning. For example.

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<v Speaker 4>Yeah, whenever I draw a bridge, I mean I really

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<v Speaker 4>put some calculations behind it. Why to make sure it

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<v Speaker 4>doesn't fall down?

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<v Speaker 1>Yeah, I know all those cartoons could be injured. I

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<v Speaker 1>mean think about their families.

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<v Speaker 4>Yeah. I usually build in a safety factor of like

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<v Speaker 4>two or three to every cartoon I draw, just in case.

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<v Speaker 4>But yeah, but professional physicists do think about things in

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<v Speaker 4>a very different way than the rest of us. And

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<v Speaker 4>so that's the question we'll be exploring today. So to

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<v Speaker 4>the end the podcast will be tagling I to think

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<v Speaker 4>like a physicist.

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<v Speaker 1>And I'm not sure if this should be like an

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<v Speaker 1>instruction manual or like.

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<v Speaker 4>A warning, Oh why what can happen?

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<v Speaker 1>You know, like watch out for these signs that you're

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<v Speaker 1>thinking like a physicist, or like, hey, would you like

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<v Speaker 1>to think like a physicist? Here's steps one, two, five.

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<v Speaker 4>Well, I guess if it was the former, which titled

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<v Speaker 4>how to Not Think Like a Physicist, How to Avoid

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<v Speaker 4>Thinking like a Physicist.

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<v Speaker 1>We're going to get into the positives, I'm sure, but

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<v Speaker 1>you know, there is this lore that sometimes physicists oversimplify things.

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<v Speaker 1>They're like, come into a new field, They're like, oh,

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<v Speaker 1>these can just approximate this with a sphere, maybe a

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<v Speaker 1>line on it or whatever. There's this urban legend that

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<v Speaker 1>physicists being too simplistic, or the cause of the two

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<v Speaker 1>thousand and eight financial collapse, for example. So you know,

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<v Speaker 1>there are potentially some dangers to applying physics thinking to

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<v Speaker 1>the broader world.

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<v Speaker 4>Daniel, I wonder if you're overestimating how much people think

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<v Speaker 4>about physicists.

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<v Speaker 1>Probably I definitely don't have a clear view of that.

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<v Speaker 4>I mean, I think for an urban legend to exist,

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<v Speaker 4>you sort of need urban people talking about it.

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<v Speaker 1>Maybe that's just an urban legend within physics, maybe nobody else.

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<v Speaker 4>Yeah, just have issues.

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<v Speaker 1>We definitely do.

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<v Speaker 4>But it's an interesting question to ask if you're thinking

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<v Speaker 4>about following a career in physics or wondering what is

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<v Speaker 4>the job up and tail and what kind of mindset

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<v Speaker 4>do you have to have in order to do it?

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<v Speaker 4>At a research university or to become one, or to

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<v Speaker 4>get a degree in.

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<v Speaker 1>It, or if you're just an armchair physicist, if you

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<v Speaker 1>like thinking about the nature of the universe and making progress,

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<v Speaker 1>and over the years, maybe while listening to this podcast,

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<v Speaker 1>you've been putting together your own personal mental model of

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<v Speaker 1>the universe, asking questions, trying to click it together, coming

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<v Speaker 1>to a holistic understanding of how things work. In that case,

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<v Speaker 1>you might have picked up a few of the tricks

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<v Speaker 1>of thinking like a physicist.

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<v Speaker 4>Well, as usually, we were wondering how many people out

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<v Speaker 4>there had thought about this question, had maybe wondered what

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<v Speaker 4>it's like to be a professional physicist and what kind

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<v Speaker 4>of mental skills you need to be one.

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<v Speaker 1>Thanks very much to everybody who answers these random questions.

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<v Speaker 1>Love hearing your thoughts. Please don't be shy. If you

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<v Speaker 1>want to join the group, just write to me to

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<v Speaker 1>Questions at Danielandjorge dot com.

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<v Speaker 4>So think about it for a second. What do you

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<v Speaker 4>think it takes to think like a physicist. Here's what

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<v Speaker 4>people have to say.

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<v Speaker 5>A physicist must think of at least are and apply

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<v Speaker 5>it to the infinitely large universe, and that's not easy

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<v Speaker 5>to do. Hence the podcast for the rest of us.

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<v Speaker 6>What if that's an expression. I haven't heard of it before,

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<v Speaker 6>so it's value. I think it probably would refer to

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<v Speaker 6>someone being very practical, someone following the scientific method, very dogmatic, accurate,

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<v Speaker 6>but then some theoretical physicists that are a bit wacky

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<v Speaker 6>in what they come up with, so possibly a little

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<v Speaker 6>bit of that too.

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<v Speaker 4>I think like a physicist is to be asking questions

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<v Speaker 4>and be relentless in your quest for an answer.

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<v Speaker 1>I'd say thinking like a physicist means being curious and

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<v Speaker 1>searching for answers through trial and error and experiments.

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<v Speaker 7>Means there's our podcast about physicists, and to do it

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<v Speaker 7>with your cartoonist friend.

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<v Speaker 8>Basically, to think like a physicist means if you discover something,

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<v Speaker 8>you get to really terrible name that doesn't make sense.

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<v Speaker 7>I think it means to contemplate matter and energy and

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<v Speaker 7>their interactions with one another.

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<v Speaker 9>Well, from the episodes that I have listened to so far,

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<v Speaker 9>I would say that to think like a physicist means

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<v Speaker 9>to be inquisitive, to try to make connections between different

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<v Speaker 9>aspects facets of life, and wondering why and.

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<v Speaker 1>Trying to.

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<v Speaker 9>Better understand and explain the phenomena we see throughout our

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<v Speaker 9>daily lives.

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<v Speaker 4>All right, I like some of these answers. I guess

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<v Speaker 4>we're done because one of them said, we just need

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<v Speaker 4>to start on a podcast about physics.

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<v Speaker 1>And then give everything you discover a terrible name. These

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<v Speaker 1>are some juicy answers.

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<v Speaker 4>I guess people have been listening to our podcast.

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<v Speaker 1>I love these answers because there's so meta. They tell

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<v Speaker 1>me basically what people have learned from listening to the

0:11:57.400 --> 0:11:59.839
<v Speaker 1>podcast for all these years. It's fantastic.

0:12:00.200 --> 0:12:03.280
<v Speaker 4>Well, hopefully people are thinking a little bit more like scientists,

0:12:03.280 --> 0:12:06.680
<v Speaker 4>like rational thinkers because of this podcast, and also maybe

0:12:06.800 --> 0:12:08.880
<v Speaker 4>learning a little bit more about the universe and how

0:12:08.920 --> 0:12:11.920
<v Speaker 4>it all works down to the atomic level and the

0:12:11.960 --> 0:12:12.760
<v Speaker 4>galactic level.

0:12:13.040 --> 0:12:16.720
<v Speaker 1>Yeah, and not just absorbing facts and little bits of knowledge,

0:12:16.760 --> 0:12:20.880
<v Speaker 1>pieces of information, but also training yourself into how to

0:12:20.920 --> 0:12:24.360
<v Speaker 1>accumulate more information, how to fit those pieces of information together,

0:12:24.640 --> 0:12:27.080
<v Speaker 1>how to think about them. Science is more than just

0:12:27.080 --> 0:12:29.439
<v Speaker 1>what we've learned. It's how we're going to learn more.

0:12:30.440 --> 0:12:32.679
<v Speaker 4>How are we driving the distinction here between physicis and

0:12:32.720 --> 0:12:35.199
<v Speaker 4>just a regular scientist or do you mean how to

0:12:35.280 --> 0:12:36.160
<v Speaker 4>think like a scientist?

0:12:36.440 --> 0:12:38.560
<v Speaker 1>Yeah, it's a great question. I don't know the answer

0:12:38.559 --> 0:12:40.599
<v Speaker 1>to that. I'm probably not even the right person to

0:12:40.640 --> 0:12:43.200
<v Speaker 1>answer the question of how do physicists think? Because I'm

0:12:43.240 --> 0:12:46.880
<v Speaker 1>stuck in that mindset. I can't really see outside of

0:12:46.880 --> 0:12:49.440
<v Speaker 1>it to understand how other people think. But when I

0:12:49.480 --> 0:12:52.719
<v Speaker 1>mean chemists or biologists or economists, I do notice that

0:12:52.880 --> 0:12:55.880
<v Speaker 1>answer and ask questions in a different way. There's something

0:12:55.880 --> 0:12:58.880
<v Speaker 1>I have more in common with other physicists than I

0:12:59.000 --> 0:13:01.800
<v Speaker 1>have with other side scientists. So there's something to it.

0:13:02.720 --> 0:13:04.640
<v Speaker 4>All right, Well, let's dig into it. What do you

0:13:04.640 --> 0:13:07.240
<v Speaker 4>think is specific about how physicists think.

0:13:07.720 --> 0:13:10.280
<v Speaker 1>I think some of it comes from the fundamental motivation

0:13:10.480 --> 0:13:13.760
<v Speaker 1>and the assumptions that underlie physics. Like the goal is big.

0:13:14.040 --> 0:13:16.520
<v Speaker 1>We want to understand the universe. We want to figure

0:13:16.559 --> 0:13:20.000
<v Speaker 1>it out. And the assumptions are pretty basic. They're like, look,

0:13:20.040 --> 0:13:23.479
<v Speaker 1>the universe is understand a bull, and we can describe

0:13:23.480 --> 0:13:27.000
<v Speaker 1>it with mathematical laws. We can build a mental model.

0:13:27.360 --> 0:13:29.480
<v Speaker 1>The model should follow those laws, and we can use

0:13:29.520 --> 0:13:31.719
<v Speaker 1>it to like predict the future and to understand the

0:13:31.800 --> 0:13:34.680
<v Speaker 1>nature of the universe. You know, inherent in that is

0:13:34.720 --> 0:13:37.800
<v Speaker 1>that we are simplifying the universe. We're taking all these

0:13:37.840 --> 0:13:40.640
<v Speaker 1>observations and the weaving them together into a story. That's

0:13:40.640 --> 0:13:43.679
<v Speaker 1>what the mathematical model is. We're saying, here's how this works,

0:13:43.679 --> 0:13:46.679
<v Speaker 1>here's what's really happening behind the scene. So there's sort

0:13:46.679 --> 0:13:48.520
<v Speaker 1>of like an ambition there to say, like we can

0:13:48.559 --> 0:13:52.280
<v Speaker 1>describe the basic elements of the universe, whereas, and again

0:13:52.280 --> 0:13:54.600
<v Speaker 1>I'm not an expert in other fields, you know, they

0:13:54.640 --> 0:13:56.800
<v Speaker 1>feel a little bit more zoomed out, so they're not

0:13:56.800 --> 0:14:00.920
<v Speaker 1>always as ambitious about like the fundamental understanding. They're describing

0:14:00.960 --> 0:14:03.319
<v Speaker 1>things as sort of a higher level, which again still

0:14:03.360 --> 0:14:06.720
<v Speaker 1>requires mathematical modeling and great precision. It's not a question

0:14:06.760 --> 0:14:09.600
<v Speaker 1>of like precision or rigor just a question of like

0:14:09.679 --> 0:14:12.720
<v Speaker 1>the ambition the context of the questions you're asking.

0:14:13.000 --> 0:14:15.440
<v Speaker 4>Well, well, are you saying that other scientists are not

0:14:15.480 --> 0:14:16.199
<v Speaker 4>as ambitious?

0:14:17.720 --> 0:14:21.560
<v Speaker 1>I think maybe philosophically, physics and at least fundamental physics

0:14:21.560 --> 0:14:27.520
<v Speaker 1>and particle physics is asking more ambitious questions than other fields. Yeah,

0:14:27.800 --> 0:14:32.200
<v Speaker 1>I think they have deeper and broader implications again, philosophically.

0:14:31.720 --> 0:14:33.920
<v Speaker 4>Right, right, So you think your topic of research is

0:14:33.920 --> 0:14:38.560
<v Speaker 4>more important than other scientists because you're a physicist. I'm

0:14:38.560 --> 0:14:41.000
<v Speaker 4>just saying there might be a little bit of bias here.

0:14:40.840 --> 0:14:43.400
<v Speaker 1>A Daniel, No, it's totally reasonable to dig into that.

0:14:43.520 --> 0:14:46.840
<v Speaker 1>I wouldn't say more important. You know, somebody who's developing

0:14:47.440 --> 0:14:51.080
<v Speaker 1>new techniques to develop green energy, for example, they're not

0:14:51.160 --> 0:14:54.080
<v Speaker 1>answering deep and fundamental questions about the nature of reality,

0:14:54.320 --> 0:14:57.120
<v Speaker 1>but they're improving people's lives and maybe saving the planet,

0:14:57.160 --> 0:15:00.960
<v Speaker 1>So that's arguably much more important. I think in terms

0:15:00.960 --> 0:15:04.960
<v Speaker 1>of the philosophical context of our lives, particle physics and

0:15:05.000 --> 0:15:08.760
<v Speaker 1>fundamental physics is answering those questions. Whether that's important or

0:15:08.800 --> 0:15:11.520
<v Speaker 1>not is totally subjective, you know, whether it has value.

0:15:11.640 --> 0:15:14.120
<v Speaker 1>Every kind of science is answering different kinds of questions,

0:15:14.560 --> 0:15:17.400
<v Speaker 1>giving different kinds of insight into how the universe works.

0:15:18.320 --> 0:15:20.240
<v Speaker 1>For me, at least one of the appeals of fundamental

0:15:20.280 --> 0:15:22.800
<v Speaker 1>physics are these philosophical implications of it.

0:15:23.160 --> 0:15:25.680
<v Speaker 4>Right, Well, I think, you know, most scientists would agree

0:15:25.680 --> 0:15:27.920
<v Speaker 4>that what they're doing is also trying to understand and

0:15:27.960 --> 0:15:30.160
<v Speaker 4>explain the world. I wonder if maybe a lot of

0:15:30.160 --> 0:15:33.000
<v Speaker 4>the difference is just in the topic and the kinds

0:15:33.000 --> 0:15:36.160
<v Speaker 4>of things that you're looking at the scope of it,

0:15:36.640 --> 0:15:39.520
<v Speaker 4>or the kinds of phenomena you're looking at.

0:15:39.680 --> 0:15:41.800
<v Speaker 1>Yeah, I think that everybody is doing the thing they

0:15:41.840 --> 0:15:45.560
<v Speaker 1>think is most interesting and most exciting, And that's very personal, right.

0:15:45.760 --> 0:15:49.080
<v Speaker 1>The person who's like crouching in a rainforest watching spiders

0:15:49.120 --> 0:15:52.400
<v Speaker 1>crawl up twigs for hours and hours a day is

0:15:52.440 --> 0:15:55.160
<v Speaker 1>deeply fascinated by that and chose to do that instead

0:15:55.200 --> 0:15:58.360
<v Speaker 1>of economics or psychiatry or whatever for a reason, And

0:15:58.400 --> 0:16:01.280
<v Speaker 1>that's totally cool. You're right, and the choice of topic

0:16:01.480 --> 0:16:03.560
<v Speaker 1>is very very personal. But I think the choice of

0:16:03.560 --> 0:16:06.360
<v Speaker 1>topic also sometimes leads to a different way of thinking.

0:16:06.880 --> 0:16:10.000
<v Speaker 1>Like I think, because we're trying to ask fundamental questions

0:16:10.040 --> 0:16:12.600
<v Speaker 1>and deep questions about the universe, we feel like we

0:16:12.600 --> 0:16:15.840
<v Speaker 1>can touch onto some sort of mathematical purity, that there

0:16:15.960 --> 0:16:19.760
<v Speaker 1>is maybe mathematics that describes this that we can drill

0:16:19.840 --> 0:16:23.640
<v Speaker 1>down into and reveal. You know, somebody who's studying like hurricanes.

0:16:24.080 --> 0:16:26.480
<v Speaker 1>You know, we don't have any mathematics that describes hurricanes.

0:16:26.480 --> 0:16:28.920
<v Speaker 1>So we can do some simulations, but we're sort of

0:16:28.920 --> 0:16:31.280
<v Speaker 1>at a loss because of all the chaos and the details.

0:16:31.280 --> 0:16:34.440
<v Speaker 1>But when you zoom down into the fundamental firmament of

0:16:34.520 --> 0:16:37.280
<v Speaker 1>the universe, we hope maybe there is some mathematics there

0:16:37.320 --> 0:16:39.960
<v Speaker 1>that can describe what's going on. And so that's I

0:16:40.000 --> 0:16:43.360
<v Speaker 1>think why physicists tend to build these mental mathematical models

0:16:43.440 --> 0:16:46.800
<v Speaker 1>sometimes too simplified, you know, hence the famous spherical cowjoke,

0:16:46.840 --> 0:16:48.720
<v Speaker 1>which I don't know, maybe that's only a famous joke

0:16:48.720 --> 0:16:49.840
<v Speaker 1>within physics, you tell me.

0:16:50.480 --> 0:16:54.400
<v Speaker 4>I've never heard of that before. But uh, but you know,

0:16:54.440 --> 0:16:56.480
<v Speaker 4>I think all scientists would say that what they're doing

0:16:56.520 --> 0:16:58.760
<v Speaker 4>is fundamental as well. Like, if you're studying spiders, you're

0:16:58.760 --> 0:17:01.960
<v Speaker 4>probably thinking about the different ways that life can form,

0:17:02.160 --> 0:17:05.240
<v Speaker 4>or the different factors that go into creating life and

0:17:05.280 --> 0:17:07.920
<v Speaker 4>the factors that shape live. That seems pretty fundamental as well.

0:17:08.200 --> 0:17:11.320
<v Speaker 1>Yeah, and ambitious, And if anything, I think you probably

0:17:11.320 --> 0:17:13.840
<v Speaker 1>have a lot more insight into this than I do,

0:17:14.000 --> 0:17:16.600
<v Speaker 1>or than most people, because you interact with so many

0:17:16.600 --> 0:17:20.399
<v Speaker 1>different kinds of scientists, and obviously you've been spending a

0:17:20.400 --> 0:17:23.720
<v Speaker 1>lot of time learning about physics and decoding the brains

0:17:23.760 --> 0:17:27.200
<v Speaker 1>of physicists but also other scientists, and so from your perspective,

0:17:27.200 --> 0:17:29.360
<v Speaker 1>I'd be very curious to hear, like, do you think

0:17:29.400 --> 0:17:32.280
<v Speaker 1>physicists think differently? Is the mind of physicists trained at

0:17:32.280 --> 0:17:35.000
<v Speaker 1>different skills? Do they take a different approach or all

0:17:35.040 --> 0:17:36.560
<v Speaker 1>scientists just one category?

0:17:36.600 --> 0:17:40.480
<v Speaker 4>For you? You know, I think that if you're a scientist,

0:17:40.520 --> 0:17:42.399
<v Speaker 4>you're probably trying to figure out how the world and

0:17:42.480 --> 0:17:46.840
<v Speaker 4>the universe works. You're just asking questions about different phenomena

0:17:46.920 --> 0:17:50.200
<v Speaker 4>in it. You know, if you're someone who studies hurricanes,

0:17:50.200 --> 0:17:56.600
<v Speaker 4>you're trying to understand how certain physical processes work and

0:17:56.640 --> 0:18:00.000
<v Speaker 4>how they can come together to create large effects. For example,

0:18:00.040 --> 0:18:03.280
<v Speaker 4>that seems pretty fundamental as well or as fundamental as

0:18:03.320 --> 0:18:05.640
<v Speaker 4>asking you know what an atom is made of?

0:18:05.960 --> 0:18:09.159
<v Speaker 1>Yeah, can spiders come together to make hurricanes? Wouldn't that

0:18:09.240 --> 0:18:11.320
<v Speaker 1>be awesome? And shouldn't we pitch that show to the.

0:18:11.280 --> 0:18:13.400
<v Speaker 4>Discovery Channel Spider Nado's.

0:18:14.720 --> 0:18:15.560
<v Speaker 1>Spider Cane.

0:18:17.359 --> 0:18:21.200
<v Speaker 4>So I don't know, sorry, Signce Spider Natos sounds like

0:18:21.240 --> 0:18:21.639
<v Speaker 4>a winner.

0:18:22.119 --> 0:18:24.919
<v Speaker 1>Yeah, Well, I can't tell you whether it's fundamentally different

0:18:24.920 --> 0:18:27.720
<v Speaker 1>from the way other scientists think, because I'm not other scientists.

0:18:27.840 --> 0:18:29.959
<v Speaker 1>Maybe you can comment, but I can try to keep

0:18:29.960 --> 0:18:31.360
<v Speaker 1>you a little bit of an insight into the way

0:18:31.400 --> 0:18:34.119
<v Speaker 1>I approach a problem or the way I think about problems.

0:18:34.520 --> 0:18:37.879
<v Speaker 1>And that's this reliance on building a model. You know,

0:18:38.000 --> 0:18:39.959
<v Speaker 1>I look at a science problem like where is that

0:18:40.000 --> 0:18:42.640
<v Speaker 1>ball gonna land after it comes off the bat? Try

0:18:42.680 --> 0:18:44.919
<v Speaker 1>to predict that? And I think, well to get that

0:18:45.000 --> 0:18:47.680
<v Speaker 1>exactly right is way too complicated, and there's so many

0:18:47.680 --> 0:18:50.600
<v Speaker 1>factors involved. There's the wind speed, there's that bird flying by,

0:18:50.680 --> 0:18:53.199
<v Speaker 1>there's tufts in the air, et cetera. And so I

0:18:53.240 --> 0:18:55.520
<v Speaker 1>build a simpler model of the universe. I say, toss

0:18:55.520 --> 0:18:58.000
<v Speaker 1>out the real universe. Can we come up with a

0:18:58.040 --> 0:19:00.919
<v Speaker 1>simpler version of the universe and ask the question in

0:19:00.960 --> 0:19:03.120
<v Speaker 1>that universe, but build a model in such a way

0:19:03.119 --> 0:19:05.440
<v Speaker 1>that the answer in the simple universe is still relevant

0:19:05.520 --> 0:19:08.879
<v Speaker 1>to reality. So can we extract the crucial details of

0:19:08.920 --> 0:19:11.800
<v Speaker 1>the problem, put those into our model, and then use

0:19:11.840 --> 0:19:14.000
<v Speaker 1>that to answer the question. So you know, you don't care,

0:19:14.000 --> 0:19:15.920
<v Speaker 1>for example, about the color of the ball, you don't

0:19:15.920 --> 0:19:18.360
<v Speaker 1>care whether some kid in the stand is eating ice cream.

0:19:18.560 --> 0:19:21.560
<v Speaker 1>None of these details about glorious reality matter to answering

0:19:21.560 --> 0:19:24.679
<v Speaker 1>this question. So you build a simpler model specific to

0:19:24.720 --> 0:19:26.920
<v Speaker 1>that question because it's good at answering that question, not

0:19:27.040 --> 0:19:30.000
<v Speaker 1>every other question, And you use that to answer the question.

0:19:30.720 --> 0:19:32.919
<v Speaker 1>And you know you can argue philosophically like is that

0:19:32.960 --> 0:19:35.000
<v Speaker 1>model real, what does it mean about the universe if

0:19:35.040 --> 0:19:37.040
<v Speaker 1>it works, et cetera, et cetera. But that's sort of

0:19:37.119 --> 0:19:39.639
<v Speaker 1>to me the core of thinking like a physicist is

0:19:39.680 --> 0:19:42.040
<v Speaker 1>building a little mental model and then using that to

0:19:42.040 --> 0:19:42.960
<v Speaker 1>answer your questions.

0:19:43.040 --> 0:19:46.200
<v Speaker 4>Yeah, I think you're basically describing what any scientist does.

0:19:46.400 --> 0:19:49.480
<v Speaker 4>You know, chemists, biologists, they all work off models. I

0:19:49.480 --> 0:19:52.240
<v Speaker 4>mean probably the word model is the most used word

0:19:52.800 --> 0:19:56.600
<v Speaker 4>in all of science. Yeah, you know, biologists make models

0:19:56.640 --> 0:20:02.000
<v Speaker 4>about evolution, about gene interactions, about how molecules interact, or

0:20:02.040 --> 0:20:04.879
<v Speaker 4>how a species propagate, and things like that. But I

0:20:04.880 --> 0:20:06.639
<v Speaker 4>wonder if the difference with you is that you're making

0:20:06.680 --> 0:20:11.200
<v Speaker 4>models about the physical world or about baseballs, for example,

0:20:11.400 --> 0:20:12.679
<v Speaker 4>and not spiders.

0:20:14.400 --> 0:20:16.720
<v Speaker 1>Spiders are just way too complicated. There's no way for

0:20:16.760 --> 0:20:18.840
<v Speaker 1>me to build a model of a spider. I have

0:20:18.840 --> 0:20:23.240
<v Speaker 1>no idea exactly, and I know how to make the

0:20:23.280 --> 0:20:25.959
<v Speaker 1>approximation so that I can describe a baseball. I know

0:20:26.000 --> 0:20:29.560
<v Speaker 1>what to ignore. Maybe that's just my physics intuition, but

0:20:29.600 --> 0:20:31.120
<v Speaker 1>I don't know how to do that for a spider.

0:20:31.160 --> 0:20:33.280
<v Speaker 1>And I want to push back a little bit. I

0:20:33.320 --> 0:20:36.400
<v Speaker 1>do think there's a difference between the models built by

0:20:36.480 --> 0:20:40.080
<v Speaker 1>physicists and those built biologists, for example. I mean, in biology,

0:20:40.200 --> 0:20:44.040
<v Speaker 1>we know that every model we build is effective. It's

0:20:44.040 --> 0:20:49.399
<v Speaker 1>not fundamental, it's describing some emergent phenomenon like butterflies or spiders.

0:20:49.520 --> 0:20:53.040
<v Speaker 1>Something we know is not an inherent object in the universe,

0:20:53.080 --> 0:20:56.160
<v Speaker 1>but made out of those bits it comes together through

0:20:56.160 --> 0:21:00.240
<v Speaker 1>a special arrangement. So biology isn't describing something inherent to

0:21:00.280 --> 0:21:04.080
<v Speaker 1>the universe. It's just approximately describing how things work during

0:21:04.119 --> 0:21:07.840
<v Speaker 1>special conditions where like spiders and butterflies happen to emerge

0:21:07.840 --> 0:21:10.199
<v Speaker 1>because they don't always right. There's a long time in

0:21:10.200 --> 0:21:13.520
<v Speaker 1>the universe without spiders and butterflies, and so those rules

0:21:13.560 --> 0:21:16.879
<v Speaker 1>don't apply in those scenarios. But physics is trying to

0:21:16.920 --> 0:21:20.879
<v Speaker 1>figure out the fundamental laws, those that always apply in

0:21:21.000 --> 0:21:25.679
<v Speaker 1>all circumstances that are inherent to the universe. And that

0:21:25.840 --> 0:21:28.960
<v Speaker 1>difference in goal, I think leads to a different way

0:21:28.960 --> 0:21:31.800
<v Speaker 1>of thinking, you know, good or bad. It leads to

0:21:31.840 --> 0:21:35.320
<v Speaker 1>a hubris that we can describe anything with simple laws,

0:21:35.320 --> 0:21:38.720
<v Speaker 1>and it leads to different approaches and in different scientific culture,

0:21:38.800 --> 0:21:42.119
<v Speaker 1>so that physicists are kind of recognizable to others and

0:21:42.200 --> 0:21:43.480
<v Speaker 1>also to each other.

0:21:44.280 --> 0:21:47.120
<v Speaker 4>Well, you're married to a biologist, how does your way

0:21:47.119 --> 0:21:49.640
<v Speaker 4>of thinking different from your spouses?

0:21:49.800 --> 0:21:52.280
<v Speaker 1>Yeah, I think something that's different in between the way

0:21:52.320 --> 0:21:54.480
<v Speaker 1>that I think about things in the way biologists like

0:21:54.480 --> 0:21:56.800
<v Speaker 1>my wife think about things is we're definitely much more

0:21:56.800 --> 0:22:00.960
<v Speaker 1>focused on questions of like uncertainty and making things quantitative

0:22:01.800 --> 0:22:04.560
<v Speaker 1>in order to try to extract some knowledge. Sometimes the

0:22:04.640 --> 0:22:08.119
<v Speaker 1>things we're dealing with are abstract or indirect. You know,

0:22:08.119 --> 0:22:10.600
<v Speaker 1>we're talking about tiny particles or things we can't ever

0:22:10.680 --> 0:22:14.320
<v Speaker 1>see or even struggle to visualize. And so to help

0:22:14.400 --> 0:22:17.840
<v Speaker 1>us guide our thinking, we rely really heavily on the uncertainty.

0:22:17.960 --> 0:22:19.760
<v Speaker 1>How well do we know this? What can we say

0:22:19.800 --> 0:22:22.359
<v Speaker 1>about this? Because we don't have much intuition, We can't

0:22:22.359 --> 0:22:24.680
<v Speaker 1>like always got check our answers and say, is that

0:22:24.760 --> 0:22:27.440
<v Speaker 1>reasonable that the top quark lives for ten to the

0:22:27.520 --> 0:22:30.680
<v Speaker 1>minus twenty three seconds? I mean, you can't see that anyway.

0:22:31.400 --> 0:22:33.399
<v Speaker 1>Whereas you know, my wife, she can look at stuff

0:22:33.400 --> 0:22:35.400
<v Speaker 1>and oh is it growing? And did we get this right?

0:22:35.920 --> 0:22:39.000
<v Speaker 1>Is this virus killing that bacteria? Is somebody's got health

0:22:39.000 --> 0:22:41.600
<v Speaker 1>improving when they eat more chia seeds, this kind of stuff.

0:22:42.040 --> 0:22:44.240
<v Speaker 4>But she works with models as well, right, Her.

0:22:44.080 --> 0:22:46.520
<v Speaker 1>Grad students are really good looking. Yes, they're like models.

0:22:48.000 --> 0:22:51.320
<v Speaker 4>Yeah, yeah, well in comparison to physicists.

0:22:50.840 --> 0:22:54.680
<v Speaker 1>And ooh, you're right though that models is a very

0:22:54.720 --> 0:22:57.760
<v Speaker 1>abused word. Like I also work in the machine learning community,

0:22:57.760 --> 0:23:00.280
<v Speaker 1>and their model means to make very, very different than

0:23:00.320 --> 0:23:03.159
<v Speaker 1>a model in physics, than a model in fashion, and

0:23:03.200 --> 0:23:04.919
<v Speaker 1>so it's a very generic word, unfortunately.

0:23:06.400 --> 0:23:08.520
<v Speaker 4>But you think that maybe it's something to do with

0:23:08.600 --> 0:23:10.520
<v Speaker 4>the way that you look at the world and you

0:23:10.600 --> 0:23:12.520
<v Speaker 4>formulate models. But I guess I'm trying to say that

0:23:12.560 --> 0:23:15.280
<v Speaker 4>I think that's what all scientists do, right across different fields.

0:23:15.560 --> 0:23:17.680
<v Speaker 1>Yeah, so maybe physicists have more in common with other

0:23:17.720 --> 0:23:19.800
<v Speaker 1>scientists than I ever imagined. Happy to.

0:23:21.520 --> 0:23:23.720
<v Speaker 4>Sounds like you need to talk to people outside your

0:23:23.720 --> 0:23:28.359
<v Speaker 4>department a little more, baby, besides your spouse. How horten

0:23:28.400 --> 0:23:30.800
<v Speaker 4>to you interact with economists or chemists.

0:23:30.800 --> 0:23:33.439
<v Speaker 1>Economists very rarely, only if I run into them at

0:23:33.440 --> 0:23:38.200
<v Speaker 1>the park. Chemists and computer scientists and engineers much more common.

0:23:38.240 --> 0:23:41.240
<v Speaker 1>We sometimes have problems in common, you know, working on

0:23:41.400 --> 0:23:44.080
<v Speaker 1>electronics for a new technology you want to bury in

0:23:44.080 --> 0:23:46.800
<v Speaker 1>the ice in Antarctica, we need to understand the engineering

0:23:47.280 --> 0:23:50.760
<v Speaker 1>details of it, or thinking about how to apply machine

0:23:50.840 --> 0:23:54.160
<v Speaker 1>learning techniques we've developed for neutron stars to the problem

0:23:54.200 --> 0:23:58.120
<v Speaker 1>of like predicting organic synthesis, these kind of things. So, yeah,

0:23:58.240 --> 0:24:01.040
<v Speaker 1>definitely interact with the more physical science and engineering people

0:24:01.320 --> 0:24:04.080
<v Speaker 1>more often than like psychiatrists, but I also talk to

0:24:04.119 --> 0:24:06.400
<v Speaker 1>philosophers quite a bit. I don't know if they qualify

0:24:06.480 --> 0:24:08.080
<v Speaker 1>as scientists.

0:24:07.440 --> 0:24:10.600
<v Speaker 4>Do they? I think they're not. Usually they're not in

0:24:10.640 --> 0:24:12.639
<v Speaker 4>the same department for a reason, isn't it.

0:24:12.640 --> 0:24:15.880
<v Speaker 1>It's fascinating though, Actually people in the philosophy of physics

0:24:15.880 --> 0:24:19.240
<v Speaker 1>department here, they all have their PhDs in physics rather

0:24:19.280 --> 0:24:20.360
<v Speaker 1>than in philosophy.

0:24:20.480 --> 0:24:24.359
<v Speaker 4>Well so they're physicists who have a philosophy degree in

0:24:24.400 --> 0:24:26.960
<v Speaker 4>the philosophy of science physics.

0:24:28.080 --> 0:24:31.960
<v Speaker 1>A doctor of philosophy of physicists, but now they're professors

0:24:31.960 --> 0:24:33.480
<v Speaker 1>in philosophy of physics.

0:24:35.480 --> 0:24:38.639
<v Speaker 4>It sounds like what is it? The snake finally ate

0:24:38.680 --> 0:24:43.159
<v Speaker 4>its tail. It is interesting to think about how people

0:24:43.160 --> 0:24:45.840
<v Speaker 4>who are paid to do physics in particular think, and

0:24:46.200 --> 0:24:48.879
<v Speaker 4>what kinds of what makes them a tick I guess,

0:24:48.920 --> 0:24:51.600
<v Speaker 4>and how does that color how they see the world,

0:24:52.119 --> 0:24:54.480
<v Speaker 4>and so to get more insight into that, Danielle, you

0:24:54.520 --> 0:24:57.840
<v Speaker 4>interviewed a couple of physicists and one ex physicists.

0:24:57.920 --> 0:25:00.680
<v Speaker 1>Yeah, that's right. I talked to one physics who's made

0:25:00.720 --> 0:25:04.200
<v Speaker 1>it her mission to explain to people how physicists think

0:25:04.280 --> 0:25:09.280
<v Speaker 1>about uncertainty, and another whose job is to guide physicists

0:25:09.320 --> 0:25:12.840
<v Speaker 1>into the real world to find positions outside of academic

0:25:12.880 --> 0:25:13.880
<v Speaker 1>physics and research.

0:25:14.280 --> 0:25:16.560
<v Speaker 4>Well, it sounds like these are sort of like physics

0:25:16.600 --> 0:25:20.080
<v Speaker 4>translators or physics counselors.

0:25:22.560 --> 0:25:26.280
<v Speaker 1>Yeah, exactly, trying to bridge the gap between physicists and

0:25:26.440 --> 0:25:27.439
<v Speaker 1>actual human beings.

0:25:27.480 --> 0:25:28.879
<v Speaker 4>All right, Well, when we come back, we'll listen to

0:25:29.000 --> 0:25:33.800
<v Speaker 4>Daniel talking to two physicists whose jobs it is to

0:25:33.840 --> 0:25:37.280
<v Speaker 4>translate what physicists think and do to the rest of

0:25:37.359 --> 0:25:40.560
<v Speaker 4>the universe. So we'll dig into that, But first let's

0:25:40.560 --> 0:25:41.560
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<v Speaker 4>BARB, we're asking the question how to think like a physicist,

0:29:26.920 --> 0:29:29.280
<v Speaker 4>and apparently that involves talking to more.

0:29:29.160 --> 0:29:32.760
<v Speaker 1>Physicists group Think like a Physicist.

0:29:36.160 --> 0:29:39.520
<v Speaker 4>All right, well, you got to interview to interesting people here, Daniels.

0:29:39.560 --> 0:29:43.240
<v Speaker 4>First one is doctor Jen Kyle. What does Jen Kyle do?

0:29:43.720 --> 0:29:47.160
<v Speaker 1>Jen Kyle is a theoretical physicist, but she also runs

0:29:47.240 --> 0:29:50.440
<v Speaker 1>the YouTube channel Think Like a Physicist, where she tries

0:29:50.480 --> 0:29:52.920
<v Speaker 1>to explain to you how to use the techniques and

0:29:53.040 --> 0:29:55.880
<v Speaker 1>tricks of physics to think about the world and also

0:29:56.040 --> 0:29:59.320
<v Speaker 1>to decode science results so you can get an understanding

0:29:59.320 --> 0:30:02.720
<v Speaker 1>for whether that newsflash you just read about black holes

0:30:02.960 --> 0:30:04.000
<v Speaker 1>is real or not?

0:30:04.400 --> 0:30:06.240
<v Speaker 4>And did she talk to non physicist to figure out

0:30:06.240 --> 0:30:08.920
<v Speaker 4>if a physicists thinking a unique.

0:30:08.680 --> 0:30:13.280
<v Speaker 1>Way through her YouTube channel? So yeah, via the comments section.

0:30:13.440 --> 0:30:17.400
<v Speaker 4>Oh boy, and we all know how productive those can be.

0:30:18.800 --> 0:30:21.400
<v Speaker 1>Great insights in the comment section as always.

0:30:21.560 --> 0:30:24.719
<v Speaker 4>All right, well, here's Daniel's interview with particle physicists and

0:30:24.840 --> 0:30:26.360
<v Speaker 4>YouTuber Jen Kyle.

0:30:30.600 --> 0:30:34.800
<v Speaker 1>So it's my pleasure to introduce the podcast doctor Jen Kyle. Jen,

0:30:34.840 --> 0:30:36.280
<v Speaker 1>thanks very much for joining us today.

0:30:36.400 --> 0:30:37.720
<v Speaker 7>Hi, great to be here.

0:30:38.760 --> 0:30:41.800
<v Speaker 1>Great tell us a little bit about yourself. What's your

0:30:41.800 --> 0:30:44.040
<v Speaker 1>background with your training, what are you up to now?

0:30:44.440 --> 0:30:51.440
<v Speaker 7>Ah? Well, I'm a theoretical particle physicist. I've done mostly

0:30:51.520 --> 0:30:55.080
<v Speaker 7>work on beyond the standard model physics. I've looked at

0:30:55.120 --> 0:31:00.960
<v Speaker 7>some things on dark matter and possible new new theories

0:31:00.960 --> 0:31:05.240
<v Speaker 7>of flavor in the cork and Lepton sectors, and I

0:31:05.360 --> 0:31:08.240
<v Speaker 7>basically dabbled in physics beyond what we know now.

0:31:08.640 --> 0:31:12.560
<v Speaker 1>Great, so you are definitely a trained and practicing physicist.

0:31:12.680 --> 0:31:14.840
<v Speaker 1>So tell me what does it mean to you to

0:31:15.120 --> 0:31:18.600
<v Speaker 1>think like a physicist? Can you remember learning how to

0:31:18.680 --> 0:31:20.800
<v Speaker 1>do that? Can you compare the way you think now

0:31:20.880 --> 0:31:23.400
<v Speaker 1>to the way you thought before you went to grad school?

0:31:23.480 --> 0:31:25.520
<v Speaker 1>What does it mean to think like a physicist?

0:31:26.880 --> 0:31:30.720
<v Speaker 7>I would definitely say it was not something that one

0:31:30.840 --> 0:31:34.120
<v Speaker 7>learns in one day. It's more of a practice that

0:31:35.520 --> 0:31:39.480
<v Speaker 7>you learn over many years. And I would say that

0:31:40.160 --> 0:31:46.240
<v Speaker 7>a large part of thinking like a physicist is knowing

0:31:46.280 --> 0:31:51.000
<v Speaker 7>how to draw conclusions from the universe and observations that

0:31:51.000 --> 0:31:54.560
<v Speaker 7>we make of it, but also always keeping in mind

0:31:55.120 --> 0:31:59.800
<v Speaker 7>how uncertain those conclusions that we draw from our observations

0:31:59.840 --> 0:32:00.680
<v Speaker 7>can possibly be.

0:32:01.800 --> 0:32:04.240
<v Speaker 1>What do you mean uncertain, Like we have a hunch

0:32:04.280 --> 0:32:06.400
<v Speaker 1>and we're not sure, Oh, we don't have enough information,

0:32:06.720 --> 0:32:09.040
<v Speaker 1>or we could be confused. What do you mean by.

0:32:09.040 --> 0:32:15.160
<v Speaker 7>Uncertain well, basically, we draw conclusions about the universe from

0:32:15.520 --> 0:32:20.000
<v Speaker 7>making observations and making measurements. So let's say that we

0:32:20.080 --> 0:32:23.480
<v Speaker 7>have some amazing new idea that someone has come up with,

0:32:23.600 --> 0:32:28.040
<v Speaker 7>but it hasn't been tested. It will make predictions about

0:32:28.280 --> 0:32:32.080
<v Speaker 7>the universe, and oftentimes these are predictions about the values

0:32:32.080 --> 0:32:35.080
<v Speaker 7>of certain quantities that we can measure, like the lifetime

0:32:35.080 --> 0:32:38.360
<v Speaker 7>of a particle or the rate of a certain process

0:32:38.400 --> 0:32:44.000
<v Speaker 7>that happens at the large Hadron collider. And we want

0:32:44.040 --> 0:32:47.440
<v Speaker 7>to test this new amazing hypothesis, so we go and

0:32:47.480 --> 0:32:51.920
<v Speaker 7>measure those quantities. And when we measure those quantities, we

0:32:52.480 --> 0:32:58.440
<v Speaker 7>use experimental apparatuses and techniques, but it's not possible to

0:32:58.520 --> 0:33:03.080
<v Speaker 7>ever have a perfect experiment. Whenever you get a measured

0:33:03.160 --> 0:33:05.080
<v Speaker 7>value of a quantity, it's always going to differ at

0:33:05.160 --> 0:33:07.280
<v Speaker 7>least a little bit from the true value of the

0:33:07.320 --> 0:33:09.160
<v Speaker 7>quantity that you're trying to measure. So, if you try

0:33:09.200 --> 0:33:12.720
<v Speaker 7>to measure the electron mass, you will get a measured

0:33:12.800 --> 0:33:14.440
<v Speaker 7>value of the electron mass, but it's not going to

0:33:14.480 --> 0:33:16.720
<v Speaker 7>be exactly the true value of the electron mass.

0:33:16.920 --> 0:33:18.920
<v Speaker 1>So let's make a little bit more concrete instead of

0:33:18.960 --> 0:33:22.000
<v Speaker 1>thinking about particle physics. Let's say somebody gives me a coin,

0:33:22.760 --> 0:33:25.280
<v Speaker 1>and I have a theory that this coin is not fair,

0:33:25.360 --> 0:33:28.680
<v Speaker 1>that it's going to favor heads right sixty six percent

0:33:28.800 --> 0:33:31.680
<v Speaker 1>or something, and then I can do an experiment to see,

0:33:31.680 --> 0:33:33.920
<v Speaker 1>well is it a fair coin by flipping it right

0:33:34.120 --> 0:33:37.000
<v Speaker 1>five hundred times. So I think you're saying that there's

0:33:37.080 --> 0:33:40.560
<v Speaker 1>uncertainty because even if I flip it a thousand times,

0:33:40.840 --> 0:33:44.680
<v Speaker 1>I'm never going to know precisely what the real probability

0:33:44.760 --> 0:33:46.760
<v Speaker 1>is because I'm not flipping an infinite number of times.

0:33:46.800 --> 0:33:48.080
<v Speaker 1>There's always some randomness.

0:33:48.360 --> 0:33:50.240
<v Speaker 7>Is that what you're saying exactly?

0:33:50.840 --> 0:33:55.200
<v Speaker 1>Okay, So there's uncertainty in our measurements because we don't

0:33:55.240 --> 0:33:58.120
<v Speaker 1>take infinitely long experiments and we don't have infinite amounts

0:33:58.160 --> 0:34:00.600
<v Speaker 1>of data. What are some other ways that we can

0:34:00.640 --> 0:34:03.400
<v Speaker 1>be wrong or uncertain about our conclusions?

0:34:04.840 --> 0:34:08.000
<v Speaker 7>Well, there are lots of ways that error can sneak

0:34:08.040 --> 0:34:14.759
<v Speaker 7>into measurements. For example, we make measurements using some kind

0:34:14.800 --> 0:34:19.239
<v Speaker 7>of experimental measurement apparatus. So, for example, let's say if

0:34:19.280 --> 0:34:23.200
<v Speaker 7>we're trying to measure any quantity, we're using some kind

0:34:23.200 --> 0:34:27.880
<v Speaker 7>of experimental apparatus to do it, and that apparatus is

0:34:27.920 --> 0:34:30.920
<v Speaker 7>going to have a finite resolution of some kind. So,

0:34:31.000 --> 0:34:34.640
<v Speaker 7>for example, let's say you're trying to measure the size

0:34:34.760 --> 0:34:37.760
<v Speaker 7>of an object in a room. You use a ruler,

0:34:38.200 --> 0:34:41.239
<v Speaker 7>and that ruler has a finite gradation on it. You

0:34:41.280 --> 0:34:45.520
<v Speaker 7>can't see down to the micron size using a ruler,

0:34:45.880 --> 0:34:49.160
<v Speaker 7>so there's automatically some level of uncertainty that's going to

0:34:49.200 --> 0:34:53.320
<v Speaker 7>come in because of effects like that. You may also

0:34:54.600 --> 0:34:58.759
<v Speaker 7>for very complicated measurements, like, for example, if you're trying

0:34:58.800 --> 0:35:01.440
<v Speaker 7>to measure a cross section the large Hadron collider, you

0:35:01.520 --> 0:35:08.920
<v Speaker 7>have very complicated measuring devices and you have to simulate

0:35:09.120 --> 0:35:11.480
<v Speaker 7>various parts of the not only the physics that you're

0:35:11.480 --> 0:35:16.200
<v Speaker 7>trying to understand, but the device, and those simulations will

0:35:16.239 --> 0:35:18.920
<v Speaker 7>never match up exactly well with reality.

0:35:19.320 --> 0:35:21.560
<v Speaker 1>So I think what you're saying is that sometimes to

0:35:21.640 --> 0:35:24.319
<v Speaker 1>do these experiments we have to use devices we don't

0:35:24.360 --> 0:35:27.759
<v Speaker 1>even really understand exactly how they work. Like if I'm

0:35:27.800 --> 0:35:30.920
<v Speaker 1>measuring an electron the lartadron collider, and I have some

0:35:31.120 --> 0:35:34.680
<v Speaker 1>device to measure an electrons energy, it's complicated to measure

0:35:34.680 --> 0:35:37.040
<v Speaker 1>an electrons energy, and I don't exactly know what happens

0:35:37.040 --> 0:35:39.520
<v Speaker 1>when an electron slams into a block of copper and

0:35:39.600 --> 0:35:43.200
<v Speaker 1>creates a huge shower of other particles. It's complicated physics,

0:35:43.239 --> 0:35:45.839
<v Speaker 1>and I could be wrong about what's going on in

0:35:45.880 --> 0:35:49.440
<v Speaker 1>my own experimental device that I built and designed, right.

0:35:49.520 --> 0:35:53.000
<v Speaker 7>Yes, In fact, we don't entirely understand our own measuring

0:35:53.040 --> 0:35:56.960
<v Speaker 7>devices perfectly, so we have to model them and simulate

0:35:57.000 --> 0:36:00.799
<v Speaker 7>them and sometimes compare those simulations to data in order

0:36:00.840 --> 0:36:04.399
<v Speaker 7>to current to improve those simulations and get a better

0:36:04.480 --> 0:36:06.600
<v Speaker 7>measurement of whatever it is we're trying to measure.

0:36:07.239 --> 0:36:09.880
<v Speaker 1>Right, So, like back to the coin example. You know,

0:36:09.960 --> 0:36:11.719
<v Speaker 1>it's easy to look at a coin and say, oh

0:36:11.760 --> 0:36:14.920
<v Speaker 1>it's heads or oh it's tails, But say it was harder, right, Say,

0:36:15.120 --> 0:36:17.160
<v Speaker 1>I couldn't just look at the coin. I needed to

0:36:17.200 --> 0:36:19.600
<v Speaker 1>have some little device that told me if it was

0:36:19.600 --> 0:36:21.680
<v Speaker 1>heads or tails, and that device I didn't really know

0:36:21.760 --> 0:36:24.480
<v Speaker 1>how it worked, and it wasn't always sure it was correct.

0:36:24.880 --> 0:36:27.480
<v Speaker 1>That would lead some like uncertainty into my measurement, right,

0:36:27.520 --> 0:36:30.480
<v Speaker 1>because it could be wrong, or I could think that

0:36:30.520 --> 0:36:33.120
<v Speaker 1>it's correct, but it's it's incorrect in some other ways.

0:36:33.520 --> 0:36:36.360
<v Speaker 7>Yes, And it might be using some pattern recognition software

0:36:36.440 --> 0:36:40.160
<v Speaker 7>that doesn't handle like certain light levels very well or

0:36:40.200 --> 0:36:42.400
<v Speaker 7>something like that. So yeah, it could make a mistake

0:36:42.440 --> 0:36:44.200
<v Speaker 7>every once in a while, until you you've got heads,

0:36:44.200 --> 0:36:45.880
<v Speaker 7>when you've got tails, or vice versa.

0:36:46.080 --> 0:36:49.120
<v Speaker 1>Yeah, and so in physics, we're very quantitative about this, right,

0:36:49.320 --> 0:36:51.799
<v Speaker 1>We're very specific when we measure something. We say, oh,

0:36:51.880 --> 0:36:54.680
<v Speaker 1>there's a two percent chance we've been wrong, or a

0:36:54.840 --> 0:36:56.800
<v Speaker 1>zero point zer or is or zero zero one percent

0:36:56.880 --> 0:36:59.600
<v Speaker 1>chance we're wrong. Why are we such sticklers about this

0:36:59.680 --> 0:37:03.400
<v Speaker 1>in physic Why are we such nerds about measuring precisely

0:37:03.719 --> 0:37:05.879
<v Speaker 1>how wrong we might be in physics? What do you think?

0:37:06.840 --> 0:37:10.720
<v Speaker 7>Well? I think that part of it is that physics

0:37:10.800 --> 0:37:12.919
<v Speaker 7>was one of the first fields to do a lot

0:37:12.920 --> 0:37:18.080
<v Speaker 7>of measurements. So if you're only doing ten measurements and

0:37:18.160 --> 0:37:22.400
<v Speaker 7>you think you'll screw up like one out of a thousand,

0:37:23.040 --> 0:37:26.439
<v Speaker 7>you're probably not too worried that you're that you're going

0:37:26.480 --> 0:37:30.440
<v Speaker 7>to produce a wrong result, or produce a result that

0:37:30.680 --> 0:37:33.919
<v Speaker 7>had a large statistical fluctuation where you didn't you didn't

0:37:33.920 --> 0:37:37.960
<v Speaker 7>screw up anything, and you're you're apparatus performed exactly correctly.

0:37:38.040 --> 0:37:41.400
<v Speaker 7>But nonetheless you've got very unlucky. If you think that

0:37:41.400 --> 0:37:44.880
<v Speaker 7>that probability is small and you're only making like ten measurements,

0:37:44.920 --> 0:37:47.080
<v Speaker 7>you're not too worried that you're going to publish a

0:37:47.160 --> 0:37:49.320
<v Speaker 7>result that's going to lead people down a wrong path.

0:37:50.200 --> 0:37:55.680
<v Speaker 7>But in particle physics, we make thousands of measurements, most

0:37:55.680 --> 0:37:57.680
<v Speaker 7>of which you never hear about in the news because

0:37:57.760 --> 0:38:01.239
<v Speaker 7>unfortunately most of them agree with the standard model. But

0:38:01.360 --> 0:38:03.719
<v Speaker 7>because we make so many, there's going to be some

0:38:04.080 --> 0:38:10.040
<v Speaker 7>just out of statistical fluctuations that happen to appear to

0:38:10.120 --> 0:38:14.319
<v Speaker 7>disagree a lot with what we expect, And so it's

0:38:14.440 --> 0:38:20.440
<v Speaker 7>very important to have a very strict criterion for deciding

0:38:20.480 --> 0:38:23.640
<v Speaker 7>when something disagrees with what we expect so much that

0:38:23.880 --> 0:38:24.920
<v Speaker 7>it must be interesting.

0:38:26.200 --> 0:38:28.040
<v Speaker 1>Yeah, I think that's probably true. Do you think it's

0:38:28.080 --> 0:38:31.719
<v Speaker 1>also because some of the things we're probing are sort

0:38:31.719 --> 0:38:35.120
<v Speaker 1>of invisible, so that our measurements are always going to

0:38:35.120 --> 0:38:37.880
<v Speaker 1>be indirect, you know, Like if somebody discovers a new

0:38:37.960 --> 0:38:41.040
<v Speaker 1>kind of turtle in biology, they're like, here's the turtle,

0:38:41.160 --> 0:38:42.880
<v Speaker 1>Like I can show you, look, this is a turtle,

0:38:42.920 --> 0:38:45.640
<v Speaker 1>Like nobody's confused about whether it's a turtle. But if

0:38:45.680 --> 0:38:47.840
<v Speaker 1>we're saying, hey, I discovered the squigglyon, it's not like

0:38:47.880 --> 0:38:49.960
<v Speaker 1>I can say I've got a pile of squigglyons here

0:38:50.000 --> 0:38:51.840
<v Speaker 1>they are let's all play with them. I have to

0:38:51.880 --> 0:38:54.040
<v Speaker 1>show you data, and the data has statistics, and we

0:38:54.080 --> 0:38:57.400
<v Speaker 1>have to make inference, and so it's always frustratingly indirect.

0:38:57.640 --> 0:38:59.719
<v Speaker 1>And I wonder if that's one reason why we have

0:38:59.760 --> 0:39:02.960
<v Speaker 1>to be such nerds about whether or not we've been confused,

0:39:03.040 --> 0:39:06.640
<v Speaker 1>because there's so many different steps between the physical reality

0:39:06.920 --> 0:39:08.399
<v Speaker 1>and the actual measurements we make.

0:39:08.880 --> 0:39:12.960
<v Speaker 7>Yeah, it's also the case that in particle physics, we're

0:39:13.000 --> 0:39:17.560
<v Speaker 7>also dealing with looking for processes in colliders that can

0:39:17.600 --> 0:39:20.360
<v Speaker 7>look a lot like other processes that we aren't actually

0:39:20.400 --> 0:39:23.719
<v Speaker 7>interested in. So it's not so much like we go

0:39:23.840 --> 0:39:25.720
<v Speaker 7>out into the world and we find a new turtle

0:39:25.719 --> 0:39:27.560
<v Speaker 7>and we bring it back and show people and say

0:39:27.560 --> 0:39:30.239
<v Speaker 7>this is a new turtle. It's more like, we go

0:39:30.360 --> 0:39:32.360
<v Speaker 7>out into the world and we find a new turtle

0:39:32.400 --> 0:39:36.040
<v Speaker 7>that looks very, very similar to a lot of other turtles,

0:39:36.400 --> 0:39:40.120
<v Speaker 7>and we bring that turtle and another thirty turtles back,

0:39:41.200 --> 0:39:44.719
<v Speaker 7>and we show the collection of turtles to our colleagues,

0:39:45.160 --> 0:39:48.320
<v Speaker 7>and we have to convince them that that one turtle

0:39:48.320 --> 0:39:51.200
<v Speaker 7>really is special, it's.

0:39:51.000 --> 0:39:53.520
<v Speaker 1>Not just the same turtle all the way down. Yeah, exactly.

0:39:53.960 --> 0:39:56.160
<v Speaker 1>And then we do experiments with those turtles, flipping them

0:39:56.239 --> 0:39:59.279
<v Speaker 1>to see if they're fair coins in that. So this

0:39:59.400 --> 0:40:01.480
<v Speaker 1>is the way that does this think about things. We're

0:40:01.719 --> 0:40:04.600
<v Speaker 1>really focused on what we've measured, how well we know it,

0:40:04.760 --> 0:40:09.359
<v Speaker 1>quantifying that uncertainty different ways we can be wrong when

0:40:09.400 --> 0:40:12.680
<v Speaker 1>we communicate our results to the public. This is a challenge,

0:40:12.760 --> 0:40:15.719
<v Speaker 1>right to express to them here's what we think, but

0:40:15.800 --> 0:40:18.880
<v Speaker 1>here's how much wrong we might be. What do you

0:40:18.920 --> 0:40:21.960
<v Speaker 1>think are the usual stumbling blocks for people who haven't

0:40:22.000 --> 0:40:24.920
<v Speaker 1>spent their lives learning to think like a physicist for

0:40:25.120 --> 0:40:28.759
<v Speaker 1>understanding uncertainties and what we mean by uncertainties when we

0:40:28.800 --> 0:40:29.439
<v Speaker 1>talk about them.

0:40:29.920 --> 0:40:34.200
<v Speaker 7>Well, I think one problem is that most of the

0:40:34.239 --> 0:40:37.600
<v Speaker 7>time in real life, when we're talking about needing to

0:40:37.680 --> 0:40:41.120
<v Speaker 7>know the value of some quantity.

0:40:40.400 --> 0:40:42.920
<v Speaker 1>We were not hold on, are you contrasting physics with

0:40:43.040 --> 0:40:46.320
<v Speaker 1>real life? Is that what you just did here? Are

0:40:46.360 --> 0:40:47.880
<v Speaker 1>you saying physics is not really for me?

0:40:47.920 --> 0:40:55.000
<v Speaker 7>They're the same thing. But in the ordinary life, where

0:40:55.040 --> 0:41:00.439
<v Speaker 7>we go outside and and you know, do things where

0:41:00.440 --> 0:41:05.400
<v Speaker 7>we're not looking at a computer screen, we do get

0:41:06.160 --> 0:41:09.879
<v Speaker 7>values for various quantities. Like if we're driving our car,

0:41:10.000 --> 0:41:13.480
<v Speaker 7>we do look at our speedometer hopefully and see what

0:41:13.640 --> 0:41:20.560
<v Speaker 7>speed we're getting. And generally the outside world isn't very

0:41:20.920 --> 0:41:24.040
<v Speaker 7>it's not used to giving us uncertainties on the numbers

0:41:24.040 --> 0:41:25.880
<v Speaker 7>that we get. So we look at that speedometer and

0:41:25.920 --> 0:41:28.319
<v Speaker 7>it tells us we're going fifty seven miles an hour,

0:41:28.400 --> 0:41:30.960
<v Speaker 7>but it doesn't put an error bar on it. And

0:41:31.000 --> 0:41:36.320
<v Speaker 7>also when we're learning things about either physics or anything

0:41:36.360 --> 0:41:41.280
<v Speaker 7>else in our education, at least in our earlier education,

0:41:41.520 --> 0:41:44.759
<v Speaker 7>usually the idea is, here are the principles that we

0:41:44.840 --> 0:41:47.600
<v Speaker 7>work from. What can we figure out from it? But

0:41:47.640 --> 0:41:50.279
<v Speaker 7>we don't actually stop and think, well, what are the

0:41:50.320 --> 0:41:53.319
<v Speaker 7>experimental results that led to us having those principles, and

0:41:53.360 --> 0:41:56.759
<v Speaker 7>what were the errors on those principles? What were the

0:41:56.840 --> 0:42:00.680
<v Speaker 7>uncertainties on those principles? And you know, how well does

0:42:00.800 --> 0:42:04.960
<v Speaker 7>that principle work with the situation I'm trying to trying

0:42:04.960 --> 0:42:07.480
<v Speaker 7>to study at the moment. Am I actually using the

0:42:08.960 --> 0:42:12.879
<v Speaker 7>right set of scientific principles for the situation at hand?

0:42:12.920 --> 0:42:18.799
<v Speaker 7>Or am I introducing some uncertainties that maybe maybe I

0:42:18.920 --> 0:42:22.040
<v Speaker 7>need to think about. So I would say that the

0:42:22.080 --> 0:42:26.400
<v Speaker 7>main stumbling block is that we just aren't exposed to it.

0:42:29.120 --> 0:42:30.319
<v Speaker 7>It's it's hard to come by.

0:42:30.960 --> 0:42:33.719
<v Speaker 1>Yeah, I see. So maybe when you get pulled over,

0:42:33.960 --> 0:42:36.359
<v Speaker 1>you can tell the officer like, look, it said it

0:42:36.400 --> 0:42:38.399
<v Speaker 1>was I was doing sixty. I don't know why your

0:42:38.520 --> 0:42:40.719
<v Speaker 1>machine says I was doing eighty five. Maybe there's some

0:42:40.760 --> 0:42:43.320
<v Speaker 1>mistakes somewhere, right, Sometimes we have a little bit of

0:42:43.360 --> 0:42:46.480
<v Speaker 1>intuitive grasp of like, maybe there's fuzz in the numbers.

0:42:47.040 --> 0:42:50.040
<v Speaker 1>But you're right, we're rarely like measuring the uncertainties in

0:42:50.400 --> 0:42:53.319
<v Speaker 1>quote unquote real life. So for people who are not

0:42:53.520 --> 0:42:56.160
<v Speaker 1>trained like a physicist and don't nerd out about statistics

0:42:56.160 --> 0:42:58.680
<v Speaker 1>all the time, it's a sort of intuitive or easy

0:42:58.719 --> 0:43:02.040
<v Speaker 1>way to start to think think about these uncertainties. What

0:43:02.080 --> 0:43:04.560
<v Speaker 1>do you recommend I know you have a wonderful YouTube

0:43:04.600 --> 0:43:06.600
<v Speaker 1>channel where you teach people to think like a physicist

0:43:06.680 --> 0:43:10.120
<v Speaker 1>and think about uncertainties. How should people get started thinking

0:43:10.160 --> 0:43:11.880
<v Speaker 1>about uncertainties like a physicist?

0:43:12.200 --> 0:43:14.200
<v Speaker 7>Well, if you want to think about it the way

0:43:14.320 --> 0:43:18.680
<v Speaker 7>physicists do, I guess I would explain how physicists arrive

0:43:18.719 --> 0:43:21.719
<v Speaker 7>at those uncertainties. So, like a physicist who's conducting some

0:43:21.800 --> 0:43:25.319
<v Speaker 7>kind of an experiment, they are going to want to

0:43:25.480 --> 0:43:27.400
<v Speaker 7>produce a result, and they're going to want to produce

0:43:27.760 --> 0:43:29.640
<v Speaker 7>an error bar that goes with that result, that tells

0:43:29.680 --> 0:43:31.799
<v Speaker 7>you and what the uncertainty on that result is.

0:43:32.080 --> 0:43:34.359
<v Speaker 1>Let's stop there firm and describe exactly what you mean.

0:43:34.400 --> 0:43:37.560
<v Speaker 1>They're like the error bar. So if I say I've

0:43:37.719 --> 0:43:40.640
<v Speaker 1>measured my speed to be seventy miles an hour with

0:43:40.680 --> 0:43:43.400
<v Speaker 1>an air bar of five, what does that mean? What

0:43:43.440 --> 0:43:45.239
<v Speaker 1>does the error bar mean? What am I saying when

0:43:45.239 --> 0:43:45.799
<v Speaker 1>I say five?

0:43:46.120 --> 0:43:50.520
<v Speaker 7>So the error bar, if you're at least thinking about

0:43:50.560 --> 0:43:53.799
<v Speaker 7>it from a physicist point of view, is you've thought

0:43:53.840 --> 0:43:58.160
<v Speaker 7>about what the possible sources of error that can come in,

0:43:58.440 --> 0:44:00.839
<v Speaker 7>the ways that you could be wrong, the ways that

0:44:00.880 --> 0:44:04.920
<v Speaker 7>you could measure it incorrectly, and you've done some kind

0:44:05.040 --> 0:44:08.560
<v Speaker 7>of analysis or thinking about it to add those sources

0:44:08.600 --> 0:44:13.640
<v Speaker 7>together and figure out, roughly typically how much you would

0:44:13.680 --> 0:44:14.520
<v Speaker 7>be wrong by.

0:44:15.200 --> 0:44:18.200
<v Speaker 1>So does that mean that if I measure my speed

0:44:18.200 --> 0:44:20.680
<v Speaker 1>to be seventy plus or minus five, that the true

0:44:20.680 --> 0:44:24.879
<v Speaker 1>speed is definitely within sixty five to seventy five?

0:44:25.000 --> 0:44:25.080
<v Speaker 11>Like?

0:44:25.120 --> 0:44:28.200
<v Speaker 1>Does the error bar completely define the possible extent of

0:44:28.239 --> 0:44:28.680
<v Speaker 1>the truth?

0:44:29.000 --> 0:44:34.640
<v Speaker 7>Absolutely not. It's a typical value. It's a typical value

0:44:34.640 --> 0:44:37.520
<v Speaker 7>for the difference between the true value of something and

0:44:37.600 --> 0:44:42.320
<v Speaker 7>the value that we measure. And we don't know whether

0:44:42.400 --> 0:44:45.120
<v Speaker 7>the value we measure is above the true value or

0:44:45.160 --> 0:44:48.080
<v Speaker 7>below it. And we don't know if the difference between

0:44:48.120 --> 0:44:51.000
<v Speaker 7>the true value and our measured value is larger than

0:44:51.040 --> 0:44:53.160
<v Speaker 7>that error bar or smaller than that error bar in

0:44:53.200 --> 0:44:56.719
<v Speaker 7>an instance of a specific measurement. What that error bar

0:44:56.840 --> 0:45:00.520
<v Speaker 7>means is that's a typical value for how the true

0:45:00.560 --> 0:45:03.279
<v Speaker 7>value in the measured value would would disagree.

0:45:04.000 --> 0:45:07.399
<v Speaker 1>Right, And so if we quote seventy plus or minus five,

0:45:07.560 --> 0:45:10.720
<v Speaker 1>or let's talk about you know, politics, Joe Biden's polling

0:45:10.800 --> 0:45:16.200
<v Speaker 1>numbers are forty four percent with a uncertainty of three percent. Right,

0:45:16.480 --> 0:45:21.200
<v Speaker 1>that doesn't mean that his true value is between you know,

0:45:21.239 --> 0:45:24.440
<v Speaker 1>forty four plus three and forty four minus three. It

0:45:24.600 --> 0:45:27.839
<v Speaker 1>means that there's a sixty percent chance that it is,

0:45:28.360 --> 0:45:30.640
<v Speaker 1>and then therefore there's a thirty two percent chance that

0:45:30.680 --> 0:45:34.200
<v Speaker 1>it isn't. Right. So the airbar tells us, as you say,

0:45:34.719 --> 0:45:38.480
<v Speaker 1>roughly the size of the expected difference between the truths

0:45:38.480 --> 0:45:40.839
<v Speaker 1>and the measured value. But it doesn't bound it, right,

0:45:40.880 --> 0:45:43.640
<v Speaker 1>It doesn't tell us it's exactly within that. I see

0:45:43.680 --> 0:45:47.120
<v Speaker 1>this sort of misunderstanding all the time in political journalism.

0:45:47.320 --> 0:45:49.879
<v Speaker 1>You know, where they have two candidates and if they're

0:45:49.920 --> 0:45:53.960
<v Speaker 1>separated by ten points and the uncertainty is four points.

0:45:54.200 --> 0:45:56.440
<v Speaker 1>Then they say, okay, it's definitely a lead, but you know,

0:45:56.520 --> 0:45:59.600
<v Speaker 1>it still could be the opposite, or two candidates who

0:45:59.640 --> 0:46:02.920
<v Speaker 1>are new or each other, but within the statistical uncertainty,

0:46:02.920 --> 0:46:05.000
<v Speaker 1>they call it a tie, even though if one of

0:46:05.040 --> 0:46:07.440
<v Speaker 1>them has a larger value, we're pretty sure that you know,

0:46:07.440 --> 0:46:10.560
<v Speaker 1>we're somewhat sure at least that they have more support.

0:46:11.000 --> 0:46:13.200
<v Speaker 1>I think there's a lot of misunderstanding about what this

0:46:13.400 --> 0:46:16.520
<v Speaker 1>error bar means. It seems so much more definitive right

0:46:16.600 --> 0:46:18.239
<v Speaker 1>than the way that we meet it. It's really, as

0:46:18.280 --> 0:46:21.360
<v Speaker 1>you say, just a typical value. It tells you roughly

0:46:21.400 --> 0:46:25.120
<v Speaker 1>the scale of how far off you might be. So

0:46:25.200 --> 0:46:28.120
<v Speaker 1>when people are out there reading a scientific result, right

0:46:28.160 --> 0:46:31.160
<v Speaker 1>when they're not measuring their speedometer, when they're reading a

0:46:31.160 --> 0:46:33.920
<v Speaker 1>paper about a new particle and they come across something,

0:46:34.440 --> 0:46:37.200
<v Speaker 1>what should they be asking themselves? What they should what

0:46:37.200 --> 0:46:39.640
<v Speaker 1>should they be looking for in that article? To help

0:46:39.719 --> 0:46:44.000
<v Speaker 1>understand how uncertain are physicists about this new, squeakly unparticle.

0:46:44.280 --> 0:46:47.920
<v Speaker 7>Well, I mean, at the most basic level, if the

0:46:47.960 --> 0:46:52.120
<v Speaker 7>result is measuring something and saying this value was larger

0:46:52.160 --> 0:46:54.520
<v Speaker 7>than what we were expecting from our prediction, If the

0:46:54.520 --> 0:46:58.480
<v Speaker 7>particle didn't exist. The first question is to ask, well,

0:46:58.760 --> 0:47:01.160
<v Speaker 7>what was the difference between what was observed and what

0:47:01.320 --> 0:47:04.320
<v Speaker 7>was expected if the particle didn't exist, And then how

0:47:04.360 --> 0:47:09.359
<v Speaker 7>does that difference compare to the quoted uncertainty. So if

0:47:09.400 --> 0:47:13.319
<v Speaker 7>that difference is a lot larger than the quoted uncertainty,

0:47:13.400 --> 0:47:16.040
<v Speaker 7>then we would tend to think that something interesting is

0:47:16.080 --> 0:47:19.160
<v Speaker 7>going on. You know, maybe it's particle discovery. Hopefully it's

0:47:19.160 --> 0:47:22.439
<v Speaker 7>particle discovery, but it always could be that something has

0:47:22.480 --> 0:47:25.520
<v Speaker 7>gone wrong with the experiment that we don't understand. On

0:47:25.560 --> 0:47:29.319
<v Speaker 7>the other hand, if the difference between what's observed and

0:47:29.400 --> 0:47:34.480
<v Speaker 7>what's expected from the no new particle hypothesis, if that

0:47:34.640 --> 0:47:37.600
<v Speaker 7>difference is not much larger than the uncertainty, or maybe

0:47:37.600 --> 0:47:41.480
<v Speaker 7>it's only a couple times the uncertainty, then it's probably

0:47:41.520 --> 0:47:44.160
<v Speaker 7>a little bit too early to get excited. We need

0:47:44.200 --> 0:47:46.719
<v Speaker 7>more data and we need more results and possibly more

0:47:46.760 --> 0:47:50.200
<v Speaker 7>experiments to look at it before we say anything definitive.

0:47:51.040 --> 0:47:53.080
<v Speaker 1>Right, So then let's make a concrete go back to

0:47:53.160 --> 0:47:55.800
<v Speaker 1>our coin that we're tossing or the turtle that we're flipping.

0:47:56.280 --> 0:47:59.319
<v Speaker 1>Let's say I flip the coin two times and I

0:47:59.400 --> 0:48:03.040
<v Speaker 1>get too heads, so it's one hundred percent heads, right,

0:48:03.760 --> 0:48:06.160
<v Speaker 1>And then I go off and I write a paper saying, look,

0:48:06.280 --> 0:48:08.960
<v Speaker 1>my coin is one hundred percent heads. It's totally unfair.

0:48:09.000 --> 0:48:11.839
<v Speaker 1>And you're the reviewer. You might look and say, all right,

0:48:11.880 --> 0:48:14.160
<v Speaker 1>you know, but the prediction for a fair coin is

0:48:14.160 --> 0:48:16.640
<v Speaker 1>fifty percent, and the prediction for an unfair coin is

0:48:16.960 --> 0:48:19.719
<v Speaker 1>you know, something above that. But the uncertainty on your

0:48:19.760 --> 0:48:23.239
<v Speaker 1>measurement is huge because you only flipped it twice, right, So, yes,

0:48:23.280 --> 0:48:25.080
<v Speaker 1>you measured one hundred percent heads, but you could have

0:48:25.120 --> 0:48:27.840
<v Speaker 1>also gotten fifty percent heads or seventy five percent heads

0:48:27.960 --> 0:48:30.719
<v Speaker 1>or whatever. And so you're saying if I go back

0:48:31.000 --> 0:48:33.720
<v Speaker 1>and then flip it a million times and I still

0:48:33.800 --> 0:48:36.880
<v Speaker 1>get a million heads, that that's very different, right, And

0:48:36.920 --> 0:48:39.440
<v Speaker 1>I think people can understand that that's much more compelling.

0:48:39.760 --> 0:48:41.359
<v Speaker 1>If you get a million heads in a row, it's

0:48:41.480 --> 0:48:45.000
<v Speaker 1>very unlikely to be a fair coin. And that's the difference, right,

0:48:45.000 --> 0:48:48.200
<v Speaker 1>that there's a smaller uncertainty on my measurement of one

0:48:48.239 --> 0:48:50.760
<v Speaker 1>hundred percent heads if I flip it a million times

0:48:50.760 --> 0:48:53.920
<v Speaker 1>and if I flip it two times. And so the

0:48:54.239 --> 0:48:57.240
<v Speaker 1>two different hypotheses of like a fair coin fifty percent

0:48:57.280 --> 0:48:59.320
<v Speaker 1>heads and an unfair coin and one hundred percent heads.

0:49:00.080 --> 0:49:02.960
<v Speaker 1>The difference there is now large compared to the uncertainty,

0:49:03.280 --> 0:49:05.520
<v Speaker 1>whereas it was small when I only flipped it twice.

0:49:05.840 --> 0:49:08.279
<v Speaker 7>Yeah, when you only flip it twice, I mean, even

0:49:08.280 --> 0:49:11.280
<v Speaker 7>if the coin is fair, the probability is twenty five percent,

0:49:11.280 --> 0:49:14.480
<v Speaker 7>it's going to come up heads both times. So it's

0:49:14.840 --> 0:49:16.799
<v Speaker 7>important to not jump the gun and think that you've

0:49:16.800 --> 0:49:22.000
<v Speaker 7>discovered something amazing when you might just have a quarter exactly.

0:49:22.080 --> 0:49:23.960
<v Speaker 7>On the other hand, if you flip the coin ten

0:49:24.040 --> 0:49:27.080
<v Speaker 7>times and it comes up heads each time, well then

0:49:27.239 --> 0:49:30.960
<v Speaker 7>you know, you start to think maybe something's up. And

0:49:31.040 --> 0:49:33.880
<v Speaker 7>if you do it twenty times, then you might start

0:49:33.920 --> 0:49:36.640
<v Speaker 7>to really think that's something up. And certainly, if you

0:49:36.760 --> 0:49:39.399
<v Speaker 7>flip it a million times then you're pretty darn certain

0:49:39.520 --> 0:49:40.280
<v Speaker 7>something's use.

0:49:41.760 --> 0:49:46.680
<v Speaker 1>Exactly. But I think it's fascinating that even now, for example,

0:49:47.040 --> 0:49:50.680
<v Speaker 1>we can't say one hundred percent definitively that the Higgs

0:49:50.719 --> 0:49:53.799
<v Speaker 1>boson exists, like we've taken so much data, we have

0:49:54.040 --> 0:49:57.799
<v Speaker 1>so much evidence, and yet still it could all be

0:49:57.800 --> 0:50:00.680
<v Speaker 1>a fluctuation, right, It could all just be We could

0:50:00.680 --> 0:50:03.120
<v Speaker 1>be that situation where we flip the a fair coin

0:50:03.200 --> 0:50:05.640
<v Speaker 1>a million times and gotten a million heads in a row.

0:50:05.719 --> 0:50:08.480
<v Speaker 1>It can happen, and we could have been fooled by

0:50:08.480 --> 0:50:10.240
<v Speaker 1>our data. We don't have like a pile of Higgs

0:50:10.280 --> 0:50:12.720
<v Speaker 1>bosons we can point to and say these are them, folks.

0:50:13.120 --> 0:50:15.720
<v Speaker 1>We just have, you know, basically the result of flipping

0:50:15.760 --> 0:50:18.759
<v Speaker 1>a bunch of coins and seeing it come out weird

0:50:19.320 --> 0:50:22.719
<v Speaker 1>compared to our prediction for no Higgs boson. So in principle,

0:50:23.040 --> 0:50:25.400
<v Speaker 1>we know we don't really know that any particle is

0:50:25.440 --> 0:50:28.200
<v Speaker 1>out there, though, I guess as we continue to make

0:50:28.239 --> 0:50:31.000
<v Speaker 1>collisions and analyze data, we get more and more certain.

0:50:31.200 --> 0:50:33.000
<v Speaker 1>But it's sort of like approaching the speed of light, right,

0:50:33.040 --> 0:50:34.560
<v Speaker 1>you can never actually get there.

0:50:34.719 --> 0:50:38.600
<v Speaker 7>That's right. You can never be absolutely certain of any

0:50:38.640 --> 0:50:41.640
<v Speaker 7>scientific result that you produce. But on the other hand,

0:50:41.640 --> 0:50:44.439
<v Speaker 7>you can also not be absolutely certain that this chair

0:50:44.520 --> 0:50:47.399
<v Speaker 7>sitting next to you actually exists, because of course your

0:50:47.560 --> 0:50:51.440
<v Speaker 7>your eyes could have malfunctioned, you could be dreaming. So

0:50:52.400 --> 0:50:57.000
<v Speaker 7>certainty is is a dream. It's an illusion. It's not

0:50:57.040 --> 0:50:58.000
<v Speaker 7>something we can ever achieve.

0:50:58.040 --> 0:51:04.759
<v Speaker 1>Exactly right, I'm not one hundred certain we're having this conversation, Yeah, exactly, great, Well,

0:51:04.920 --> 0:51:07.560
<v Speaker 1>so tell us more about your project. Think like a

0:51:07.600 --> 0:51:09.680
<v Speaker 1>physicist where people can go to learn more about it

0:51:09.760 --> 0:51:12.279
<v Speaker 1>and learn more about thinking like a physicist.

0:51:12.520 --> 0:51:15.560
<v Speaker 7>Yeah, so I have a YouTube channel. It's called think

0:51:15.640 --> 0:51:18.440
<v Speaker 7>like a Physicist, And the idea behind my channel is

0:51:18.480 --> 0:51:22.200
<v Speaker 7>I wanted to take the statistical methods, especially also the

0:51:22.280 --> 0:51:25.480
<v Speaker 7>other methods the physicists use, but especially the statistical methods

0:51:25.480 --> 0:51:28.680
<v Speaker 7>the physicists use, and I wanted to explain them in

0:51:28.719 --> 0:51:33.040
<v Speaker 7>a way that I hope non scientists can understand. And

0:51:33.520 --> 0:51:36.359
<v Speaker 7>the idea is that I would like for people when

0:51:36.400 --> 0:51:38.520
<v Speaker 7>they read about a scientific result and it has an

0:51:38.600 --> 0:51:40.440
<v Speaker 7>error bar on it, that they would be able to

0:51:40.480 --> 0:51:43.200
<v Speaker 7>have a better understanding of what that error bar means,

0:51:43.840 --> 0:51:48.280
<v Speaker 7>and also that that way they can understand scientific results

0:51:48.320 --> 0:51:54.440
<v Speaker 7>in context. For example, if you hear that one experiment

0:51:54.600 --> 0:51:57.520
<v Speaker 7>does a measurement of a certain quantity and it agrees

0:51:57.560 --> 0:52:01.200
<v Speaker 7>with the standard model, and then three years later you

0:52:01.239 --> 0:52:04.239
<v Speaker 7>hear that another experiment measured the same quantity and they

0:52:04.800 --> 0:52:07.520
<v Speaker 7>got a different result, you know it might be because

0:52:07.560 --> 0:52:11.080
<v Speaker 7>the second experiment had a smaller error bar than the

0:52:11.120 --> 0:52:14.560
<v Speaker 7>first one did, and so you can understand results in

0:52:14.640 --> 0:52:19.880
<v Speaker 7>context better. So basically, I go through a lot of

0:52:19.920 --> 0:52:26.400
<v Speaker 7>the basic statistical techniques that physicists use, and I hope

0:52:26.400 --> 0:52:28.680
<v Speaker 7>that I explained them in a way that people can understand,

0:52:29.440 --> 0:52:33.760
<v Speaker 7>and so yeah, I would very much like the public

0:52:33.760 --> 0:52:35.359
<v Speaker 7>to know more about these topics so that they can

0:52:35.440 --> 0:52:36.719
<v Speaker 7>understand what we do a bit better.

0:52:37.120 --> 0:52:39.120
<v Speaker 1>Great, tell us one more time where people can find you.

0:52:39.600 --> 0:52:42.200
<v Speaker 7>Yeah, my YouTube channel is called Think like a Physicist.

0:52:42.440 --> 0:52:44.840
<v Speaker 1>Great. Well, thanks very much Jen for coming on podcast

0:52:44.920 --> 0:52:47.680
<v Speaker 1>today and thinking like a Physicist with me. I appreciate it.

0:52:47.719 --> 0:52:49.080
<v Speaker 7>Thank you so much. It's been great.

0:52:49.840 --> 0:52:52.520
<v Speaker 4>All right, interesting interview. I like how you talked about

0:52:52.600 --> 0:52:56.000
<v Speaker 4>uncertainties and how you know this concept, you know, spills

0:52:56.040 --> 0:52:59.160
<v Speaker 4>into our everyday lives, especially when it comes to things

0:52:59.160 --> 0:53:02.000
<v Speaker 4>like policies, But people don't seem to have a pretty

0:53:02.280 --> 0:53:05.080
<v Speaker 4>good understanding of that. Maybe they should talk to statisticians,

0:53:06.040 --> 0:53:08.000
<v Speaker 4>not physicists or politicians.

0:53:08.040 --> 0:53:10.040
<v Speaker 1>How to think like a statistician exactly?

0:53:10.680 --> 0:53:13.600
<v Speaker 4>Yeah, how to probably think like a statistician?

0:53:15.680 --> 0:53:17.319
<v Speaker 1>How statisticians likely think?

0:53:18.239 --> 0:53:20.919
<v Speaker 4>Yeah, likely think or think likely?

0:53:23.400 --> 0:53:25.600
<v Speaker 1>The likelihood of me finding a good joke is low.

0:53:26.960 --> 0:53:32.480
<v Speaker 4>Yeah, we'll make that the null hypothesis. All right, And

0:53:32.480 --> 0:53:35.319
<v Speaker 4>an interesting perspective though about how to think like a physicist. Now,

0:53:35.400 --> 0:53:37.880
<v Speaker 4>let's talk to someone whose job it is to I

0:53:37.920 --> 0:53:41.360
<v Speaker 4>guess reintroduce physicists out into the world, sort of like

0:53:41.400 --> 0:53:45.560
<v Speaker 4>those wildlife experts who have to retrain animals to live

0:53:45.560 --> 0:53:47.640
<v Speaker 4>in the wild. Is that is that kind of her job?

0:53:48.920 --> 0:53:53.560
<v Speaker 1>Yeah, exactly, Or re educate prisoners who are emotion.

0:53:53.480 --> 0:53:57.080
<v Speaker 4>Oh my goodness, I guess I could eat me a

0:53:57.080 --> 0:54:00.880
<v Speaker 4>sort of like a prison. There are walls, towers, you know,

0:54:00.960 --> 0:54:03.319
<v Speaker 4>small rooms where people are sit all day.

0:54:04.600 --> 0:54:05.520
<v Speaker 1>The food is terrible.

0:54:05.920 --> 0:54:07.799
<v Speaker 4>Do you have does your door have bars in it

0:54:07.920 --> 0:54:12.880
<v Speaker 4>as well? And the ever sentence is like six or

0:54:12.880 --> 0:54:13.359
<v Speaker 4>seven years?

0:54:13.440 --> 0:54:15.399
<v Speaker 1>Right, Oh, I got a lifetime sentence over here.

0:54:18.560 --> 0:54:23.080
<v Speaker 4>You did a capital discovery. All right, Well, we'll get

0:54:23.120 --> 0:54:27.600
<v Speaker 4>to Daniel's interview with physicist Kathy Kopik about what physicists

0:54:27.800 --> 0:54:31.440
<v Speaker 4>can do outside of physics. So let's dig into that.

0:54:31.440 --> 0:54:33.280
<v Speaker 4>But first, let's take another quick break.

0:54:37.760 --> 0:54:39.560
<v Speaker 1>When you pop a piece of cheese into your mouth,

0:54:39.640 --> 0:54:42.800
<v Speaker 1>or enjoy a rich spoonful of Greek yogurt, you're probably

0:54:42.840 --> 0:54:46.880
<v Speaker 1>not thinking about the environmental impact of each and every bite.

0:54:46.920 --> 0:54:49.520
<v Speaker 1>But the people in the dairy industry are US. Dairy

0:54:49.560 --> 0:54:53.879
<v Speaker 1>has set themselves some ambitious sustainability goals, including being greenhouse

0:54:53.880 --> 0:54:56.479
<v Speaker 1>gas neutral by twenty to fifty. That's why they're working

0:54:56.480 --> 0:54:58.840
<v Speaker 1>hard every day to find new ways to reduce waste,

0:54:58.920 --> 0:55:03.120
<v Speaker 1>conserve natural resources, and drive down greenhouse gas emissions. Take water,

0:55:03.160 --> 0:55:06.239
<v Speaker 1>for example, most dairy farms reuse water up to four

0:55:06.320 --> 0:55:09.759
<v Speaker 1>times the same water cools the milk, cleans equipment, washes

0:55:09.800 --> 0:55:12.600
<v Speaker 1>the barn, and irrigates the crops. How is US dairy

0:55:12.640 --> 0:55:16.359
<v Speaker 1>tackling greenhouse gases? Many farms use anaerobic digestors that turn

0:55:16.440 --> 0:55:20.360
<v Speaker 1>the methane from maneuver into renewable energy that can power farms, towns,

0:55:20.360 --> 0:55:22.440
<v Speaker 1>and electric cars. So the next time you grab a

0:55:22.480 --> 0:55:24.520
<v Speaker 1>slice of pizza or lick an ice cream cone, know

0:55:24.560 --> 0:55:27.239
<v Speaker 1>that dairy farmers and processors around the country are using

0:55:27.280 --> 0:55:30.799
<v Speaker 1>the latest practices and innovations to provide the nutrient dense

0:55:30.920 --> 0:55:33.600
<v Speaker 1>dairy products we love with less of an impact. Visit

0:55:33.719 --> 0:55:36.520
<v Speaker 1>usdairy dot com slash sustainability to learn more.

0:55:37.520 --> 0:55:41.040
<v Speaker 12>There are children, friends, and families walking, riding on passing

0:55:41.080 --> 0:55:43.480
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0:55:45.719 --> 0:55:47.799
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<v Speaker 4>All right, we're asking the question how to think like

0:57:27.680 --> 0:57:31.919
<v Speaker 4>a physicist? That sounds like a great T shirt. Think

0:57:32.040 --> 0:57:35.120
<v Speaker 4>like a physicist, yeah, or a bumper sticker and in

0:57:35.160 --> 0:57:40.240
<v Speaker 4>the bag says snap like a physicist too. Well, Daniel,

0:57:40.240 --> 0:57:43.280
<v Speaker 4>you got to talk to another physicist who sort of

0:57:43.320 --> 0:57:45.000
<v Speaker 4>does something else that's kind of interesting.

0:57:45.160 --> 0:57:47.960
<v Speaker 1>Yeah. Kathy Kopeik is an old friend of mine. She

0:57:48.000 --> 0:57:50.600
<v Speaker 1>and I did experimental particle physics together many years ago,

0:57:50.680 --> 0:57:53.440
<v Speaker 1>but then she ventured out into the world instead of

0:57:53.480 --> 0:57:56.640
<v Speaker 1>continuing in physics research, and for many years her job

0:57:56.840 --> 0:58:01.160
<v Speaker 1>was to help people who have PhDs in physics find

0:58:01.280 --> 0:58:04.720
<v Speaker 1>jobs outside of physics, mostly in data science and in

0:58:04.800 --> 0:58:07.480
<v Speaker 1>machine learning industry, which has been gobbling up a lot

0:58:07.480 --> 0:58:08.560
<v Speaker 1>of physics PhDs.

0:58:08.840 --> 0:58:10.560
<v Speaker 4>Well does she do this for a company or is

0:58:10.600 --> 0:58:11.720
<v Speaker 4>a consultant or what?

0:58:12.120 --> 0:58:14.920
<v Speaker 1>Yeah, there's a company called Insight Data Science, which was

0:58:14.920 --> 0:58:16.960
<v Speaker 1>like a boot camp. It would take people from physics,

0:58:17.280 --> 0:58:19.360
<v Speaker 1>give them a little bit of an introduction into the

0:58:19.440 --> 0:58:22.320
<v Speaker 1>tools of business or industry, or at least help them

0:58:22.360 --> 0:58:24.840
<v Speaker 1>translate their experience so they knew how to talk about it.

0:58:25.200 --> 0:58:27.320
<v Speaker 1>I find that one of the biggest barrier between fields

0:58:27.440 --> 0:58:30.840
<v Speaker 1>is just vocabulary. You know, everybody talks about the same

0:58:30.880 --> 0:58:32.920
<v Speaker 1>thing using different words, and so if you just learn

0:58:33.000 --> 0:58:36.800
<v Speaker 1>to translate your work, your expertise into somebody else's language,

0:58:36.880 --> 0:58:38.880
<v Speaker 1>you can help them understand how you might be useful

0:58:38.920 --> 0:58:39.560
<v Speaker 1>to their company.

0:58:40.880 --> 0:58:43.040
<v Speaker 4>Right, Right, you just have to say things like I

0:58:43.120 --> 0:58:47.360
<v Speaker 4>worked on a model to understand the universe, and then

0:58:47.440 --> 0:58:48.680
<v Speaker 4>all scientists will understand you.

0:58:50.520 --> 0:58:54.240
<v Speaker 1>I'm going to circle back and connect with stakeholders so

0:58:54.280 --> 0:58:57.520
<v Speaker 1>that we can maximize shareholder profit. Right, that's my attempt to.

0:58:57.520 --> 0:59:03.160
<v Speaker 4>Speak corporate world. That's how you think they talk in

0:59:03.240 --> 0:59:04.160
<v Speaker 4>corporate America.

0:59:04.240 --> 0:59:06.200
<v Speaker 1>I mean based on the sitcoms I watch. I mean

0:59:06.240 --> 0:59:07.240
<v Speaker 1>research I've done. Then?

0:59:07.320 --> 0:59:11.520
<v Speaker 4>Yes, Uh? Is that part of thinking like a physicist

0:59:11.640 --> 0:59:13.520
<v Speaker 4>is doing your research on TV and YouTube?

0:59:14.960 --> 0:59:16.160
<v Speaker 1>That's just part of living man.

0:59:18.440 --> 0:59:20.680
<v Speaker 4>Now, you said Kathy used to do that. What does

0:59:20.720 --> 0:59:21.280
<v Speaker 4>she do now?

0:59:21.520 --> 0:59:23.440
<v Speaker 1>Yeah? Now Kathy has a bunch of jobs. She's teaching

0:59:23.480 --> 0:59:25.080
<v Speaker 1>at Berkeley and at Stanford, and she has her own

0:59:25.080 --> 0:59:28.880
<v Speaker 1>consulting company helping people find physicists to work in their teams.

0:59:29.160 --> 0:59:31.720
<v Speaker 4>All right, well, here is Daniel's interview with doctor Kathy

0:59:31.760 --> 0:59:34.840
<v Speaker 4>Kopeck on how to think like a physicists and how

0:59:34.840 --> 0:59:36.800
<v Speaker 4>to get a job as a physicist, or how to

0:59:36.800 --> 0:59:38.480
<v Speaker 4>pretend you're not a physicist to get a job. Is

0:59:38.520 --> 0:59:39.120
<v Speaker 4>that is that?

0:59:39.560 --> 0:59:42.680
<v Speaker 1>Yeah? Yeah, to get a non physics job if you

0:59:42.720 --> 0:59:43.520
<v Speaker 1>are a physicist.

0:59:43.760 --> 0:59:44.320
<v Speaker 4>There you go.

0:59:45.840 --> 0:59:48.320
<v Speaker 1>All right. So then it's my great pleasure to introduce

0:59:48.360 --> 0:59:52.400
<v Speaker 1>to the podcast my friend and colleague, doctor Kathy Copik. Kathy,

0:59:52.400 --> 0:59:53.840
<v Speaker 1>thanks very much for joining us today.

0:59:54.400 --> 0:59:56.120
<v Speaker 11>Oh thanks so much. I'm really excited.

0:59:56.600 --> 0:59:58.600
<v Speaker 1>Tell us a little bit about who you are, what

0:59:58.760 --> 1:00:01.760
<v Speaker 1>your background is. You have a special and unusual journey.

1:00:02.440 --> 1:00:06.600
<v Speaker 11>Oh yeah, thanks sure. So I was a physicist and am

1:00:06.600 --> 1:00:08.200
<v Speaker 11>a physicist. I don't know if we talk in the

1:00:08.200 --> 1:00:11.920
<v Speaker 11>past or present tense, but I worked in experimental particle

1:00:11.920 --> 1:00:16.600
<v Speaker 11>physicists for a long time, first actually in California and

1:00:16.720 --> 1:00:20.680
<v Speaker 11>b Bar, then outside Chicago on the CDF experiment at Formulab.

1:00:21.000 --> 1:00:24.200
<v Speaker 11>Then I was at CERN for a long time, as

1:00:24.240 --> 1:00:28.720
<v Speaker 11>were you, working on the Atlas experiment. With Columbia and

1:00:28.760 --> 1:00:30.960
<v Speaker 11>then with Berkeley. So I just I was in physics

1:00:31.000 --> 1:00:35.520
<v Speaker 11>for a long time, studying the smallest things, and then

1:00:35.640 --> 1:00:38.280
<v Speaker 11>I worked in the last ten years a lot on

1:00:38.760 --> 1:00:43.320
<v Speaker 11>helping teams outside of academia think about how they use

1:00:43.440 --> 1:00:45.840
<v Speaker 11>data in lots of ways, and how they hire their teams.

1:00:45.920 --> 1:00:48.959
<v Speaker 11>I worked for about seven years at the Insight Data

1:00:49.000 --> 1:00:52.040
<v Speaker 11>Science Fellows Program, working with a lot of scientists making

1:00:52.040 --> 1:00:56.080
<v Speaker 11>a transition from working in science to working in tech

1:00:56.120 --> 1:01:00.600
<v Speaker 11>in business, and worked with literally thousands of people making

1:01:00.640 --> 1:01:04.160
<v Speaker 11>career transitions to literally hundreds of companies. And now I

1:01:04.200 --> 1:01:07.520
<v Speaker 11>work as a consultant Fieldwork partners with a friend and

1:01:07.560 --> 1:01:10.880
<v Speaker 11>we help teams do the same kind of things as consultants.

1:01:11.080 --> 1:01:13.480
<v Speaker 1>So this may seem like an obvious question, but why

1:01:13.520 --> 1:01:16.320
<v Speaker 1>are people making a transition? You're getting a PhD in

1:01:16.320 --> 1:01:19.080
<v Speaker 1>particle physics, You're studying the secrets of the universe. Why

1:01:19.120 --> 1:01:22.440
<v Speaker 1>are people then going to work for healthcare companies or whatever?

1:01:23.040 --> 1:01:26.880
<v Speaker 11>Sure, yeah, I say two main reasons. One is genuine interest.

1:01:26.960 --> 1:01:29.560
<v Speaker 11>You know, people are excited about and curious about lots

1:01:29.560 --> 1:01:31.320
<v Speaker 11>of things. It's one of the things that drives them

1:01:31.360 --> 1:01:34.400
<v Speaker 11>to be scientists in the first place. And I talked

1:01:34.440 --> 1:01:37.720
<v Speaker 11>to lots of people who are interviewing with our programs

1:01:39.160 --> 1:01:42.040
<v Speaker 11>to make that transition, and people were like, you know,

1:01:42.040 --> 1:01:44.040
<v Speaker 11>I've done this thing for a long time and I

1:01:44.080 --> 1:01:46.400
<v Speaker 11>really like doing it, and now I'm interested in doing

1:01:46.400 --> 1:01:49.520
<v Speaker 11>something else, and so I think there is definitely genuine

1:01:49.600 --> 1:01:53.280
<v Speaker 11>interest and curiosity about what it's like. And then I

1:01:53.320 --> 1:01:55.320
<v Speaker 11>think on the other side, you know, the job market

1:01:55.400 --> 1:01:58.760
<v Speaker 11>for academics is very hard getting that next position, that

1:01:58.880 --> 1:02:02.960
<v Speaker 11>next position. Both it's very challenging. There's fewer and fewer

1:02:02.960 --> 1:02:06.880
<v Speaker 11>positions at every level, and so naturally people have to

1:02:06.920 --> 1:02:10.919
<v Speaker 11>exit academia, and also there's often fewer choice, like less

1:02:11.000 --> 1:02:12.960
<v Speaker 11>choice at each level, so you know where you're going

1:02:13.000 --> 1:02:14.640
<v Speaker 11>to live, what you're going to work on, who you're

1:02:14.640 --> 1:02:17.280
<v Speaker 11>going to work with. Getting those positions is pretty tough,

1:02:17.440 --> 1:02:19.400
<v Speaker 11>and so not just in physics, but in all fields

1:02:19.440 --> 1:02:25.360
<v Speaker 11>across academia. People transition out after their undergrad after their PhD,

1:02:25.640 --> 1:02:28.240
<v Speaker 11>after post docs, and sometimes at the faculty level as well.

1:02:29.120 --> 1:02:31.800
<v Speaker 1>So we're always telling our students, hey, come to a

1:02:31.840 --> 1:02:34.360
<v Speaker 1>PhD in physics because you're going to learn important skills

1:02:34.360 --> 1:02:36.640
<v Speaker 1>about thinking and you're going to train yourself to be

1:02:37.080 --> 1:02:40.640
<v Speaker 1>a smart person. And those skills are broadly applicable. And

1:02:40.720 --> 1:02:42.720
<v Speaker 1>I've never worked outside of academia, so I don't know

1:02:42.720 --> 1:02:45.080
<v Speaker 1>if I've been lying to people. Tell me, have I

1:02:45.120 --> 1:02:48.360
<v Speaker 1>been lying to people? What skills do physics PhDs learn

1:02:48.680 --> 1:02:51.120
<v Speaker 1>that are actually useful outside of particle physics?

1:02:51.560 --> 1:02:54.920
<v Speaker 11>Sure? Sure, I do not think you are lying to people.

1:02:54.960 --> 1:02:58.160
<v Speaker 11>I do think those skills are genuinely useful, and you

1:02:58.160 --> 1:03:00.040
<v Speaker 11>can tell when you see where people go on to

1:03:00.080 --> 1:03:02.640
<v Speaker 11>work after they've been in physics a lot of times

1:03:02.640 --> 1:03:06.760
<v Speaker 11>in physics, and also that's from other places. The skills

1:03:06.760 --> 1:03:11.080
<v Speaker 11>that people learn, I think there's three main things. The

1:03:11.120 --> 1:03:13.800
<v Speaker 11>first one is just trying to figure out how to

1:03:13.800 --> 1:03:18.160
<v Speaker 11>break a problem into smaller problems and questions, thinking about like, Okay,

1:03:18.200 --> 1:03:21.080
<v Speaker 11>there's this big question we have, like what's the smallest

1:03:21.120 --> 1:03:23.120
<v Speaker 11>thing in the universe, the thing that both you and

1:03:23.160 --> 1:03:25.680
<v Speaker 11>I worked on and so have the big question? But

1:03:25.720 --> 1:03:27.720
<v Speaker 11>then okay, how do I break that down into things

1:03:27.760 --> 1:03:30.280
<v Speaker 11>that can be measured or things that we can write

1:03:30.480 --> 1:03:34.680
<v Speaker 11>a theoretical model for. So breaking big questions into small

1:03:34.760 --> 1:03:37.800
<v Speaker 11>questions it's a really important skill if you want to

1:03:37.800 --> 1:03:40.320
<v Speaker 11>ask questions about the universe, but also if you want

1:03:40.360 --> 1:03:44.280
<v Speaker 11>to ask questions about a business, or you know, how

1:03:44.760 --> 1:03:46.640
<v Speaker 11>how many beds in a hospital are likely to be

1:03:46.680 --> 1:03:49.360
<v Speaker 11>available on a given day given the procedures and things

1:03:49.360 --> 1:03:52.160
<v Speaker 11>that are coming up, and how uncertain is it that

1:03:52.360 --> 1:03:54.960
<v Speaker 11>people will get discharged on a certain day if you're

1:03:54.960 --> 1:03:57.600
<v Speaker 11>trying to build a model of anything, not just in

1:03:57.720 --> 1:04:00.560
<v Speaker 11>science but also in the real world, breaking big problem

1:04:00.560 --> 1:04:03.000
<v Speaker 11>into small questions is a big, big skill.

1:04:03.320 --> 1:04:05.080
<v Speaker 1>Let me drill into that a little bit. I understand

1:04:05.160 --> 1:04:06.920
<v Speaker 1>it's important to know, like how to get started on

1:04:06.960 --> 1:04:09.160
<v Speaker 1>a problem. You're working for a company and they give

1:04:09.160 --> 1:04:11.120
<v Speaker 1>you this project. They're like, build us this widget that

1:04:11.160 --> 1:04:13.120
<v Speaker 1>does that thing, and you need to know what to

1:04:13.160 --> 1:04:15.680
<v Speaker 1>do on day one so that after day ninety you're there.

1:04:16.440 --> 1:04:19.760
<v Speaker 1>Why is that something that physicists in particular are good at, Like,

1:04:20.240 --> 1:04:22.680
<v Speaker 1>how does studying the nature of the universe make you

1:04:22.760 --> 1:04:25.560
<v Speaker 1>good at learning how to break down problems?

1:04:26.120 --> 1:04:28.720
<v Speaker 11>Yeah, a lot of the things that physicists are good

1:04:28.720 --> 1:04:31.520
<v Speaker 11>at are think scientists in general are good at. I'm

1:04:31.640 --> 1:04:35.520
<v Speaker 11>asking a question breaking it into problems, But physics in particular,

1:04:35.920 --> 1:04:39.480
<v Speaker 11>I think both people who are drawn to physics and

1:04:39.600 --> 1:04:43.760
<v Speaker 11>physics education reinforce the same thing, which is not just

1:04:43.800 --> 1:04:46.720
<v Speaker 11>being a little bit curious, but being like really curious.

1:04:48.360 --> 1:04:52.080
<v Speaker 11>You know, they're not just stopping at some level that's

1:04:52.200 --> 1:04:56.120
<v Speaker 11>like a service level or where there's maybe approximations or things.

1:04:56.160 --> 1:04:59.720
<v Speaker 11>You're like really continuing to either you personally because that's

1:04:59.760 --> 1:05:02.520
<v Speaker 11>how you you think about the world, or in your

1:05:02.640 --> 1:05:06.440
<v Speaker 11>education working with your teachers and mentors, are like really

1:05:06.600 --> 1:05:10.320
<v Speaker 11>really really drilling down to these questions, to the really

1:05:10.360 --> 1:05:14.040
<v Speaker 11>basic pieces of it. And I think that is unique

1:05:14.040 --> 1:05:17.120
<v Speaker 11>to physics. It's you know, the people who study physics

1:05:17.160 --> 1:05:20.320
<v Speaker 11>have chosen to kind of like continue down that path

1:05:20.360 --> 1:05:23.520
<v Speaker 11>of questions to where you know, there's things are not

1:05:23.600 --> 1:05:29.000
<v Speaker 11>even alive anymore. You're studying one atom, or studying how

1:05:29.080 --> 1:05:35.400
<v Speaker 11>galaxies form, or some like very complicated basic question about

1:05:35.440 --> 1:05:38.960
<v Speaker 11>the universe. So I think it's true everybody takes a

1:05:39.040 --> 1:05:41.400
<v Speaker 11>question and breaks it into smaller questions in science, but

1:05:41.480 --> 1:05:44.600
<v Speaker 11>in physics really really trying to get to the most

1:05:44.640 --> 1:05:47.000
<v Speaker 11>basic things about how the world works.

1:05:47.080 --> 1:05:49.560
<v Speaker 1>Right, all right? So I interrupted you. You were telling us

1:05:49.880 --> 1:05:52.480
<v Speaker 1>the good things that physicists learned, and number one is

1:05:52.520 --> 1:05:54.720
<v Speaker 1>breaking things into pieces, and number two was.

1:05:54.800 --> 1:05:58.000
<v Speaker 11>Breaking things into pieces. Number two, I think, especially in

1:05:58.040 --> 1:06:03.440
<v Speaker 11>experimental physics, working with very large general purpose data sets

1:06:04.560 --> 1:06:06.480
<v Speaker 11>and a lot of parts of science. You know, every

1:06:06.520 --> 1:06:09.520
<v Speaker 11>experimental science people have data sets. Sometimes they're very large,

1:06:10.120 --> 1:06:13.880
<v Speaker 11>but a lot of scientists create those data sets themselves

1:06:14.320 --> 1:06:16.400
<v Speaker 11>in a smaller group, so they have you know, they're

1:06:16.400 --> 1:06:19.760
<v Speaker 11>trying to study one thing about how a certain bacteria

1:06:20.040 --> 1:06:23.000
<v Speaker 11>does something, or you know, in their own lab, and

1:06:23.040 --> 1:06:25.720
<v Speaker 11>they kind of know, oh, maybe the data from July

1:06:25.840 --> 1:06:27.960
<v Speaker 11>is no good because the temperature was off or something.

1:06:28.040 --> 1:06:31.560
<v Speaker 11>You know, they know the data often better because they

1:06:31.680 --> 1:06:35.400
<v Speaker 11>created it. In physics, especially in experimental particle physics where

1:06:35.440 --> 1:06:37.800
<v Speaker 11>we both worked, but also in astrophysics and lots of

1:06:37.840 --> 1:06:41.680
<v Speaker 11>other areas of physics, people have these very collaborative general

1:06:41.680 --> 1:06:45.000
<v Speaker 11>purpose data sets that are meant not just to answer

1:06:45.000 --> 1:06:48.200
<v Speaker 11>one question, but you can ask so many questions from them.

1:06:48.520 --> 1:06:51.920
<v Speaker 11>And they're messy. They're built, these detectors that are built,

1:06:51.960 --> 1:06:55.640
<v Speaker 11>and we have problems, some parts not working. Maybe that's

1:06:55.640 --> 1:06:59.400
<v Speaker 11>showing up in some initial variables, also in some calculated

1:06:59.480 --> 1:07:02.360
<v Speaker 11>variables on the road. You have to make corrections. Working

1:07:02.360 --> 1:07:05.680
<v Speaker 11>with that kind of general purpose data is a real

1:07:05.720 --> 1:07:09.600
<v Speaker 11>skill because that real world data that you might study

1:07:09.840 --> 1:07:12.640
<v Speaker 11>if you're working at a business or nonprofit or asking

1:07:12.640 --> 1:07:17.640
<v Speaker 11>some questions about non academic data very similar to So

1:07:17.680 --> 1:07:20.920
<v Speaker 11>that's a skill I think people learn in physics. And

1:07:20.960 --> 1:07:23.160
<v Speaker 11>then a third one I would say, is this collaboration

1:07:24.000 --> 1:07:27.000
<v Speaker 11>working in. You know, not all collaborations are as big

1:07:27.040 --> 1:07:29.640
<v Speaker 11>as the ones that we worked on most or not,

1:07:30.160 --> 1:07:33.680
<v Speaker 11>but working in everybody who's working in physics and in

1:07:33.720 --> 1:07:37.280
<v Speaker 11>science is really trying to figure out what's already been done.

1:07:37.600 --> 1:07:40.480
<v Speaker 11>Who has domain knowledge that might help me figure out

1:07:40.520 --> 1:07:42.440
<v Speaker 11>the piece of it that I'm working on. How do

1:07:42.520 --> 1:07:44.920
<v Speaker 11>I share what I'm working on in a way that

1:07:45.160 --> 1:07:48.240
<v Speaker 11>can make sense to build some collaboration. How do I

1:07:48.280 --> 1:07:50.480
<v Speaker 11>share my results back? How do I write about and

1:07:50.520 --> 1:07:53.560
<v Speaker 11>speak about what I learned in a way that's going

1:07:53.640 --> 1:07:57.200
<v Speaker 11>to help advance the research on this question? So all

1:07:57.240 --> 1:07:58.960
<v Speaker 11>of those I think are really.

1:07:58.800 --> 1:08:02.440
<v Speaker 1>Important, standing like what it's like to think like a physicist.

1:08:02.840 --> 1:08:05.960
<v Speaker 1>I think one thing that's helpful is understanding where physicists

1:08:06.000 --> 1:08:08.240
<v Speaker 1>find their skills useful. So you told us the kind

1:08:08.240 --> 1:08:10.920
<v Speaker 1>of skills we learn. But where do people who have

1:08:11.040 --> 1:08:15.080
<v Speaker 1>been trained in particle physics end up making impacts in

1:08:15.160 --> 1:08:18.360
<v Speaker 1>the world outside of particle physics? Where are these skills helpful?

1:08:18.920 --> 1:08:22.559
<v Speaker 11>Yeah? I think really everywhere, And I'm not just like

1:08:23.080 --> 1:08:27.000
<v Speaker 11>trying to make it seem just everywhere, but in all

1:08:27.040 --> 1:08:29.479
<v Speaker 11>the kinds of tech companies that you can think of

1:08:29.560 --> 1:08:32.000
<v Speaker 11>that are working today, like people are doing interesting work.

1:08:32.160 --> 1:08:36.439
<v Speaker 11>Also small places, nonprofits I mentioned initially. I mentioned this,

1:08:36.640 --> 1:08:39.679
<v Speaker 11>like people working at a hospital to try to figure

1:08:39.720 --> 1:08:43.479
<v Speaker 11>out how to build a system that helps predict when

1:08:43.520 --> 1:08:45.559
<v Speaker 11>patients are going to be coming in or not. People

1:08:45.600 --> 1:08:48.720
<v Speaker 11>are working in pharmaceuticals, just really in every area I

1:08:48.760 --> 1:08:52.200
<v Speaker 11>think people are working. I mean, yeah, there's there's so

1:08:52.320 --> 1:08:57.040
<v Speaker 11>many experiment particle physicists to so many of us that

1:08:57.520 --> 1:09:00.200
<v Speaker 11>people go in and people are driven and curious to

1:09:00.240 --> 1:09:04.479
<v Speaker 11>work on so many things that yeah, just lots of places.

1:09:04.800 --> 1:09:07.519
<v Speaker 1>And you know, physics is very good broad training, but

1:09:07.560 --> 1:09:10.240
<v Speaker 1>we're not learning everything when people go out into the

1:09:10.240 --> 1:09:13.120
<v Speaker 1>world and try to work on actual practical problems with

1:09:13.320 --> 1:09:15.759
<v Speaker 1>real deliverables and stuff. What are some sort of blind

1:09:15.800 --> 1:09:18.800
<v Speaker 1>spots which some things that physicists don't learn that are

1:09:18.920 --> 1:09:20.160
<v Speaker 1>useful in the rest of the world.

1:09:20.960 --> 1:09:25.280
<v Speaker 11>Yeah, I think that all of those advantages, those superpowers

1:09:25.320 --> 1:09:28.000
<v Speaker 11>that I talked about have some kind of reverse kryptonite,

1:09:28.040 --> 1:09:31.519
<v Speaker 11>which is like being very curious and very detail oriented

1:09:31.560 --> 1:09:33.720
<v Speaker 11>and driven to like get to the very bottom of

1:09:33.760 --> 1:09:36.879
<v Speaker 11>the question is a good instinct. In physics, it's important.

1:09:37.080 --> 1:09:41.600
<v Speaker 11>But sometimes in the business world, you don't have the

1:09:41.680 --> 1:09:45.000
<v Speaker 11>time or resources to like get really to the very

1:09:45.040 --> 1:09:47.040
<v Speaker 11>bottom of something, and you have to kind of step

1:09:47.080 --> 1:09:50.320
<v Speaker 11>back and make an approximation. Or maybe we're only going

1:09:50.360 --> 1:09:51.800
<v Speaker 11>to run this thing for a week and we're going

1:09:51.880 --> 1:09:53.240
<v Speaker 11>to get as far as we're going to get. But

1:09:53.600 --> 1:09:55.040
<v Speaker 11>at the end, what we're trying to do is like

1:09:55.160 --> 1:09:57.960
<v Speaker 11>recommend the next song for someone, or recommend the next

1:09:58.400 --> 1:10:00.839
<v Speaker 11>for someone to watch. And so it actually it's okay

1:10:01.320 --> 1:10:04.280
<v Speaker 11>if like we don't understand everything about this, and so

1:10:04.360 --> 1:10:06.519
<v Speaker 11>sometimes taking that step back and being like, you know,

1:10:06.600 --> 1:10:10.000
<v Speaker 11>this isn't a six month project or a six year project.

1:10:10.040 --> 1:10:13.080
<v Speaker 11>This is like a six week project, and we're going

1:10:13.120 --> 1:10:15.360
<v Speaker 11>to build something and we're gonna ship it and it's

1:10:15.640 --> 1:10:17.200
<v Speaker 11>going to be good enough for that need, you know.

1:10:17.240 --> 1:10:19.080
<v Speaker 11>And there are areas where that's true, and then there

1:10:19.080 --> 1:10:22.839
<v Speaker 11>are areas, you know, where like in health and healthcare,

1:10:22.880 --> 1:10:25.160
<v Speaker 11>where you don't want to make errors. And so I

1:10:25.160 --> 1:10:28.599
<v Speaker 11>think people kind of through their personality might choose areas

1:10:28.640 --> 1:10:32.960
<v Speaker 11>where it's okay to you know, recommend the next song

1:10:33.000 --> 1:10:35.320
<v Speaker 11>for someone. They might not enjoy as much. Where it's

1:10:35.360 --> 1:10:38.519
<v Speaker 11>not okay to recommend, you know, a medication to someone

1:10:38.640 --> 1:10:41.080
<v Speaker 11>that's not the right fit for them, right if it's

1:10:41.200 --> 1:10:43.160
<v Speaker 11>you know, and there's still would usually in a in a

1:10:43.160 --> 1:10:45.040
<v Speaker 11>healthcare setting there would be a doctor that would be

1:10:45.080 --> 1:10:48.280
<v Speaker 11>the prescriber. But if you have a tool that's very

1:10:48.280 --> 1:10:52.080
<v Speaker 11>biased or making wrong predictions for something that's really important

1:10:52.120 --> 1:10:55.599
<v Speaker 11>like healthcare, you know, there's less room for error.

1:10:56.360 --> 1:10:59.000
<v Speaker 1>So you've helped a lot of people figure out how

1:10:59.040 --> 1:11:02.280
<v Speaker 1>to go from particles to someplace in the real world

1:11:02.320 --> 1:11:04.400
<v Speaker 1>where they can make a contribution. How do you do that?

1:11:04.479 --> 1:11:06.960
<v Speaker 1>How do you like get to know somebody and figure out,

1:11:07.000 --> 1:11:09.400
<v Speaker 1>like what are their strengths and weaknesses and how does

1:11:09.400 --> 1:11:12.080
<v Speaker 1>it fit. I mean, you're basically like the Yinta of

1:11:12.680 --> 1:11:15.719
<v Speaker 1>particle physics and jobs. But tell us about your process.

1:11:15.840 --> 1:11:18.240
<v Speaker 11>Sure, sure, everybody is very different. That's one thing that

1:11:18.320 --> 1:11:21.040
<v Speaker 11>I enjoy about it. So, you know, some people need

1:11:21.080 --> 1:11:23.639
<v Speaker 11>to grow or change in one area where other folks

1:11:23.640 --> 1:11:26.160
<v Speaker 11>it's very different for them. I think the first thing

1:11:26.680 --> 1:11:29.160
<v Speaker 11>that I try to ask is what motivates people, what

1:11:29.200 --> 1:11:31.799
<v Speaker 11>they're excited by. You know, some people are very excited

1:11:31.840 --> 1:11:34.960
<v Speaker 11>by the impact in the real world and the people

1:11:35.000 --> 1:11:36.920
<v Speaker 11>that might use or be helped by the thing they're

1:11:36.920 --> 1:11:39.839
<v Speaker 11>working on. Other folks are very excited about the technical

1:11:39.880 --> 1:11:43.240
<v Speaker 11>tools themselves, like getting to use the most advanced tools

1:11:43.240 --> 1:11:46.719
<v Speaker 11>and models and getting to work on something technically very exciting.

1:11:47.160 --> 1:11:50.920
<v Speaker 11>Other people are have worked very deeply and you know,

1:11:51.000 --> 1:11:53.920
<v Speaker 11>worked ten years on one thing and are actually looking

1:11:54.040 --> 1:11:56.599
<v Speaker 11>to do something more broad like they're oh, I want

1:11:56.600 --> 1:11:59.280
<v Speaker 11>to learn about a lot of things. Some people love

1:11:59.280 --> 1:12:01.240
<v Speaker 11>to interact with the lot of people. Some people want

1:12:01.280 --> 1:12:03.040
<v Speaker 11>to be a little bit more like I kind of

1:12:03.080 --> 1:12:05.080
<v Speaker 11>want to be given the thing and do my own thing.

1:12:05.640 --> 1:12:08.880
<v Speaker 11>And so I think there's very different work for people

1:12:08.920 --> 1:12:12.960
<v Speaker 11>depending on what they like and what they're interested in.

1:12:13.280 --> 1:12:15.080
<v Speaker 11>And so once you know a little bit more about that,

1:12:15.160 --> 1:12:17.599
<v Speaker 11>like what are the constraints around the kind of jobs

1:12:17.640 --> 1:12:20.320
<v Speaker 11>that people are looking for, then I think it's easy

1:12:20.600 --> 1:12:25.040
<v Speaker 11>to recommend specific like okay, well, and based on geography too,

1:12:25.160 --> 1:12:27.600
<v Speaker 11>like there's just different kinds of jobs in different places

1:12:27.840 --> 1:12:31.519
<v Speaker 11>in North America and the world, and so okay, well,

1:12:31.560 --> 1:12:34.320
<v Speaker 11>for you, it sounds like you're excited about this and

1:12:34.320 --> 1:12:38.519
<v Speaker 11>you're living here and these are your experiences helping people

1:12:39.160 --> 1:12:43.080
<v Speaker 11>describe what they've done and what they want to do next.

1:12:44.080 --> 1:12:47.400
<v Speaker 11>People usually don't need to build new skills. They have

1:12:47.439 --> 1:12:49.920
<v Speaker 11>a lot of skills. It's just they need to have

1:12:50.000 --> 1:12:54.559
<v Speaker 11>some kind of exploration of the space of available things,

1:12:54.840 --> 1:12:58.360
<v Speaker 11>what they want, what they have, how they can describe

1:12:58.360 --> 1:13:02.240
<v Speaker 11>what they've done, and maybe demonstrate it in a different way,

1:13:02.400 --> 1:13:06.880
<v Speaker 11>you know, by talking about it differently. Those are the

1:13:06.920 --> 1:13:08.080
<v Speaker 11>main things I think I would do.

1:13:08.600 --> 1:13:10.800
<v Speaker 1>So I've seen a lot of physicists end up like

1:13:10.920 --> 1:13:14.600
<v Speaker 1>on Wall Street or in data science. These seem to

1:13:14.680 --> 1:13:18.280
<v Speaker 1>be places like where that community has an appetite for

1:13:18.400 --> 1:13:21.320
<v Speaker 1>the like, oh, yeah, we like hiring physicists or whatever. Yeah,

1:13:21.680 --> 1:13:24.120
<v Speaker 1>but tell us some other places where physicists might end

1:13:24.200 --> 1:13:27.759
<v Speaker 1>up some you know, maybe unusual or bizarre places physics

1:13:27.760 --> 1:13:28.840
<v Speaker 1>PhDs end up working in.

1:13:29.080 --> 1:13:33.360
<v Speaker 11>Yeah, that's a good question. I do think people end

1:13:33.439 --> 1:13:37.400
<v Speaker 11>up in a lot of places that basically anywhere where

1:13:37.520 --> 1:13:42.719
<v Speaker 11>people are like building some models to help a system

1:13:42.840 --> 1:13:45.879
<v Speaker 11>run better. So it could be you know, things education,

1:13:46.200 --> 1:13:49.360
<v Speaker 11>educational software. People are trying to build ways to help

1:13:49.439 --> 1:13:52.400
<v Speaker 11>kids learn to read and learn to do math. There's

1:13:52.640 --> 1:13:55.960
<v Speaker 11>all kinds of games that people work on. Anything that

1:13:56.040 --> 1:14:00.639
<v Speaker 11>you buy or sell clothes or you know, any sort

1:14:00.640 --> 1:14:03.200
<v Speaker 11>of products any sort of recommendations for things that you're

1:14:03.280 --> 1:14:06.000
<v Speaker 11>that people are working on. Anything in the healthcare industry.

1:14:06.040 --> 1:14:09.720
<v Speaker 11>I talked about that a lot already. Anything in the

1:14:09.960 --> 1:14:12.519
<v Speaker 11>kind of broad tech you see, there's a ton of

1:14:13.760 --> 1:14:17.120
<v Speaker 11>work right now in AI, certainly large language models. A

1:14:17.160 --> 1:14:19.479
<v Speaker 11>lot of people from physics are working on those tools

1:14:19.560 --> 1:14:23.240
<v Speaker 11>at all the places you can imagine, there's really a

1:14:23.280 --> 1:14:25.479
<v Speaker 11>lot of a lot of places. I can't think of

1:14:25.560 --> 1:14:30.040
<v Speaker 11>one like fun especially funny, like, oh, here's one thing

1:14:30.080 --> 1:14:33.360
<v Speaker 11>you can think of, but really in every area media, fashion,

1:14:34.040 --> 1:14:36.000
<v Speaker 11>people are working in all sorts of areas.

1:14:36.160 --> 1:14:39.479
<v Speaker 1>People working on like optimizing you know, underwear sizes and

1:14:39.479 --> 1:14:42.599
<v Speaker 1>stuff like this. For sure, for sure, that's particle physics

1:14:42.600 --> 1:14:43.000
<v Speaker 1>at work.

1:14:43.800 --> 1:14:46.679
<v Speaker 11>That's right, it's funny and it's a joke. But it's

1:14:46.720 --> 1:14:49.920
<v Speaker 11>also true that like I don't know, for me, finding

1:14:49.920 --> 1:14:52.040
<v Speaker 11>clothes that fit is actually really nice.

1:14:52.160 --> 1:14:54.360
<v Speaker 1>Yes, it's an important unsolved fund. You can make a

1:14:54.400 --> 1:14:56.160
<v Speaker 1>real impact in people's lives.

1:14:56.439 --> 1:14:58.320
<v Speaker 11>I mean, it's like a little bit silly, but it's

1:14:58.320 --> 1:15:00.439
<v Speaker 11>also true that there's a lot of I think there's

1:15:00.479 --> 1:15:03.200
<v Speaker 11>a lot of systems where people have just done the

1:15:03.200 --> 1:15:05.760
<v Speaker 11>same thing forever and having a fresh take on it

1:15:05.760 --> 1:15:06.519
<v Speaker 11>can be helpful.

1:15:06.680 --> 1:15:08.960
<v Speaker 1>Yeah, everybody's got like their favorite pair of jeans or

1:15:08.960 --> 1:15:10.720
<v Speaker 1>their favorite pair of underwear, and there's a reason they

1:15:10.760 --> 1:15:14.920
<v Speaker 1>fit right. It feels good. So there's this lore going

1:15:14.960 --> 1:15:17.240
<v Speaker 1>around that I hear a lot that one of the

1:15:17.240 --> 1:15:21.000
<v Speaker 1>reasons behind the two thousand and eight financial collapse was

1:15:21.560 --> 1:15:23.760
<v Speaker 1>that Wall Street went a little bit crazy with its

1:15:23.800 --> 1:15:26.920
<v Speaker 1>modeling and that there were these crazy quants and most

1:15:26.960 --> 1:15:30.000
<v Speaker 1>of them were ex physicists who didn't really understand the

1:15:30.040 --> 1:15:32.560
<v Speaker 1>system and just like up A, wrote a bunch of

1:15:32.600 --> 1:15:36.680
<v Speaker 1>code that went crazy and destroyed people's lives. So what

1:15:36.720 --> 1:15:38.960
<v Speaker 1>do they have to say that did this just call

1:15:39.000 --> 1:15:41.080
<v Speaker 1>the cause the financial collapse or not?

1:15:42.400 --> 1:15:49.200
<v Speaker 11>Probably not alone. I'll say that the do you think

1:15:49.240 --> 1:15:54.000
<v Speaker 11>there's a superpower kryptonite that physicists are very interested in,

1:15:54.200 --> 1:15:56.839
<v Speaker 11>you know, going down to their root causes, the basic

1:15:58.439 --> 1:16:00.000
<v Speaker 11>How do you take this problem and break it into

1:16:00.080 --> 1:16:03.679
<v Speaker 11>the basic parts? And I think that the kryptonite version

1:16:03.680 --> 1:16:05.559
<v Speaker 11>of that is like thinking that you can do that

1:16:05.680 --> 1:16:09.880
<v Speaker 11>in any field, for any topic without necessarily consulting and

1:16:09.960 --> 1:16:13.639
<v Speaker 11>learning about the domaining knowledge of the practitioners or people

1:16:13.640 --> 1:16:16.800
<v Speaker 11>that have worked in that area. There's a famous data

1:16:16.840 --> 1:16:19.920
<v Speaker 11>science person, Drew Conway who used to say, physicists, we're

1:16:19.960 --> 1:16:21.800
<v Speaker 11>like kind of like will to beasts that would like

1:16:21.920 --> 1:16:25.519
<v Speaker 11>run into an area that seems interesting, like biophysics. Right,

1:16:25.520 --> 1:16:28.160
<v Speaker 11>it's like, oh, there's something interesting there. As here comes

1:16:28.240 --> 1:16:30.400
<v Speaker 11>a lot of old, you know, ex physicists who are like,

1:16:30.760 --> 1:16:33.000
<v Speaker 11>we'll solve all the problems. And so when I would

1:16:33.040 --> 1:16:36.200
<v Speaker 11>give talks to physicis, I would say, don't be a wildbeast, like,

1:16:36.320 --> 1:16:40.400
<v Speaker 11>don't run into air area to a new area. So

1:16:40.600 --> 1:16:42.800
<v Speaker 11>these maybe these two thousand and eight physicists are kind

1:16:42.840 --> 1:16:44.920
<v Speaker 11>of just like I know, I'll break down this problem

1:16:44.920 --> 1:16:47.200
<v Speaker 11>into these parts, and look what I'm doing, isn't it cool?

1:16:47.680 --> 1:16:51.280
<v Speaker 11>But if there was a little bit more domain knowledge

1:16:51.400 --> 1:16:54.800
<v Speaker 11>or thought around how could this go wrong? How might

1:16:54.840 --> 1:16:58.680
<v Speaker 11>this affect people who? Why might we not do this?

1:17:00.560 --> 1:17:02.839
<v Speaker 11>Could have avoided some bad outcomes?

1:17:02.960 --> 1:17:05.439
<v Speaker 1>All right, So maybe we're not totally guilty, just partially.

1:17:06.240 --> 1:17:06.439
<v Speaker 11>Yeah.

1:17:07.040 --> 1:17:09.880
<v Speaker 1>So a lot of our audience are folks who like

1:17:09.960 --> 1:17:12.400
<v Speaker 1>physics and like thinking about physics and have been listening

1:17:12.439 --> 1:17:15.000
<v Speaker 1>to the pod and learning to think like a physicist

1:17:15.080 --> 1:17:18.080
<v Speaker 1>and applying you know, that mental model to questions about

1:17:18.080 --> 1:17:20.760
<v Speaker 1>the universe. But what would be your advice for somebody

1:17:20.800 --> 1:17:23.760
<v Speaker 1>out there who wants to take advantage of this way

1:17:23.760 --> 1:17:26.519
<v Speaker 1>of thinking, somebody who's not necessarily trained as a physicist

1:17:26.520 --> 1:17:29.439
<v Speaker 1>but wants to learn to think like a physicist. What

1:17:29.439 --> 1:17:32.440
<v Speaker 1>would be your advice for learning to think that way?

1:17:32.520 --> 1:17:35.240
<v Speaker 11>Yeah, I think there's this. I'm sure you talk about

1:17:35.520 --> 1:17:40.320
<v Speaker 11>Drake's equation, which is used for thinking about where extraterrestrial

1:17:40.320 --> 1:17:41.519
<v Speaker 11>life might be in the Milky Way?

1:17:41.600 --> 1:17:41.720
<v Speaker 1>Right?

1:17:41.800 --> 1:17:43.720
<v Speaker 11>Is that right? You probably know much more of that.

1:17:43.920 --> 1:17:46.040
<v Speaker 11>So that's the thing where you kind of are taking

1:17:46.080 --> 1:17:49.439
<v Speaker 11>these pieces. Anybody can look up the Drake equation or

1:17:49.479 --> 1:17:53.240
<v Speaker 11>Drake's equation and taking these pieces and trying to put

1:17:53.240 --> 1:17:55.240
<v Speaker 11>it together to get one answer. And I went to

1:17:55.320 --> 1:17:57.760
<v Speaker 11>a business class where people were talking about using this

1:17:57.960 --> 1:18:01.520
<v Speaker 11>same sort of thing to model businesses or other processes

1:18:01.680 --> 1:18:05.200
<v Speaker 11>where it's just trying to think about anybody can think

1:18:05.240 --> 1:18:09.160
<v Speaker 11>about what are the parts that come together to h

1:18:09.760 --> 1:18:13.559
<v Speaker 11>to create some answer or some prediction. And so just

1:18:13.560 --> 1:18:16.960
<v Speaker 11>take thinking about that. Breaking something up into things that

1:18:17.000 --> 1:18:19.640
<v Speaker 11>you can measure individually or you can think about individually,

1:18:20.120 --> 1:18:22.840
<v Speaker 11>can really help solve a problem, whether it's a science problem,

1:18:23.000 --> 1:18:24.839
<v Speaker 11>business problem, any kind of problems.

1:18:24.880 --> 1:18:26.680
<v Speaker 1>All right, And so then last question a bit of

1:18:26.680 --> 1:18:29.919
<v Speaker 1>a personal one. What do you miss most about actively

1:18:29.960 --> 1:18:32.240
<v Speaker 1>working in physics? I would say about being a physicist,

1:18:32.240 --> 1:18:34.479
<v Speaker 1>because I think you're always a physicist once you're trying,

1:18:34.920 --> 1:18:37.320
<v Speaker 1>like once a Jedi, always in Jedi. But what do

1:18:37.320 --> 1:18:40.920
<v Speaker 1>you miss most about like working on particle physics other

1:18:41.000 --> 1:18:43.679
<v Speaker 1>than working with me? Obviously I was going to say.

1:18:46.000 --> 1:18:50.920
<v Speaker 11>I mean, you're joking, but I think I really really did.

1:18:52.080 --> 1:18:56.479
<v Speaker 11>There's a very special, fun, exciting environment of being at

1:18:56.560 --> 1:18:59.800
<v Speaker 11>the lab in these big experiments and both that you

1:18:59.800 --> 1:19:03.160
<v Speaker 11>know at SLACK in California, at Fermi Lab, Brooke Gaven

1:19:03.320 --> 1:19:07.160
<v Speaker 11>at CERN that these labs just it's really literally people

1:19:07.160 --> 1:19:10.080
<v Speaker 11>from all over the world and having lunch together, and

1:19:10.479 --> 1:19:15.080
<v Speaker 11>the big cafeteria. Cerns called our One restaurant one a

1:19:15.280 --> 1:19:17.880
<v Speaker 11>very creative name. I don't know if it still is.

1:19:17.880 --> 1:19:21.439
<v Speaker 11>It's not named after someone now, is it still our one? Yeah?

1:19:21.479 --> 1:19:24.559
<v Speaker 11>So our one. So if you're there for lunch or

1:19:24.600 --> 1:19:26.920
<v Speaker 11>for coffee or the end of the day, it's just

1:19:27.040 --> 1:19:29.960
<v Speaker 11>really fun to run into so many people that you've

1:19:30.000 --> 1:19:32.479
<v Speaker 11>worked with over your whole career, people who are getting

1:19:32.520 --> 1:19:35.559
<v Speaker 11>into the field, people who are very senior. You never

1:19:35.600 --> 1:19:39.200
<v Speaker 11>know who's going to be there, just having some food,

1:19:39.439 --> 1:19:42.080
<v Speaker 11>drinking coffee, and getting to talk to people about what

1:19:42.080 --> 1:19:44.880
<v Speaker 11>they're working on and also what they're doing and how

1:19:44.920 --> 1:19:49.160
<v Speaker 11>they are. It's very very fund memories of hanging out

1:19:49.200 --> 1:19:53.720
<v Speaker 11>there with with all sorts of people and yeah, no,

1:19:53.760 --> 1:19:55.960
<v Speaker 11>it's a great time. So I would say just missing

1:19:56.400 --> 1:20:00.680
<v Speaker 11>being with with with all the people that we used

1:20:00.720 --> 1:20:03.080
<v Speaker 11>to work with and getting to meet new people. That's

1:20:03.240 --> 1:20:05.800
<v Speaker 11>a really truly international environment too, really fun.

1:20:06.000 --> 1:20:09.320
<v Speaker 1>It is fun to hear conversations in so many different languages.

1:20:09.840 --> 1:20:12.800
<v Speaker 1>I like running into the same really old Nobel Prize

1:20:12.840 --> 1:20:15.200
<v Speaker 1>winners over and over again, introducing myself every single time

1:20:15.200 --> 1:20:17.000
<v Speaker 1>because they don't remember me because they're like one hundred

1:20:17.040 --> 1:20:20.160
<v Speaker 1>and fifty years old. And I also remember one of

1:20:20.160 --> 1:20:22.800
<v Speaker 1>the first times I was at our one and you

1:20:22.880 --> 1:20:25.519
<v Speaker 1>had some special trick for making an iced coffee. When

1:20:25.600 --> 1:20:27.439
<v Speaker 1>you showed it to me and Katrina and for the

1:20:27.479 --> 1:20:29.000
<v Speaker 1>rest of the summer we were like, oh, let's get

1:20:29.000 --> 1:20:32.200
<v Speaker 1>a Kathy. We called it a Kathy and pacino a coppacina.

1:20:32.360 --> 1:20:34.720
<v Speaker 4>That's right, Yeah, yeah, I did.

1:20:34.760 --> 1:20:38.160
<v Speaker 11>I've made up created a TGI Fridays. I don't know

1:20:38.160 --> 1:20:41.839
<v Speaker 11>if you're looking for sponsorships. Daniel Tgi Fridays. The restaurant

1:20:41.840 --> 1:20:46.439
<v Speaker 11>when I was a server there, created the copacina Copacino delicious.

1:20:46.479 --> 1:20:47.880
<v Speaker 1>Thank you got us through that summer.

1:20:48.240 --> 1:20:50.719
<v Speaker 11>Yeah, they don't have They didn't have cappuccino machines that started.

1:20:50.760 --> 1:20:54.439
<v Speaker 11>They had espresso machines, but no, no cappuccino machines, so

1:20:54.439 --> 1:20:55.360
<v Speaker 11>you got to figure it out.

1:20:55.880 --> 1:20:58.280
<v Speaker 1>All right. Well, thanks very much for sharing with us

1:20:58.400 --> 1:21:00.000
<v Speaker 1>how to think like a physicist and how to drink

1:21:00.080 --> 1:21:02.840
<v Speaker 1>coffee like a physicist. Really appreciate it.

1:21:03.240 --> 1:21:05.599
<v Speaker 11>We'll put the recipe people can.

1:21:06.120 --> 1:21:11.200
<v Speaker 1>That's in the show notes show notes exactly. All right,

1:21:11.240 --> 1:21:11.840
<v Speaker 1>thanks Kathy.

1:21:12.280 --> 1:21:15.160
<v Speaker 4>All right, interesting talk there, Daniel. It seems like she's

1:21:15.320 --> 1:21:17.040
<v Speaker 4>basically saying we all have skills.

1:21:19.080 --> 1:21:20.599
<v Speaker 1>Everybody's skills are different at least.

1:21:20.640 --> 1:21:20.840
<v Speaker 6>Yeah.

1:21:20.840 --> 1:21:22.720
<v Speaker 1>I think she probably aligns with you to think that,

1:21:22.760 --> 1:21:26.559
<v Speaker 1>like scientists are all curious thinkers and mental model builders,

1:21:26.560 --> 1:21:29.080
<v Speaker 1>and not even all physicists are the same. We all

1:21:29.120 --> 1:21:31.719
<v Speaker 1>think differently and enjoy different parts of the process.

1:21:32.520 --> 1:21:35.760
<v Speaker 4>M and that can help you get a job, right,

1:21:36.080 --> 1:21:38.479
<v Speaker 4>because these are all skills that we could all use

1:21:38.560 --> 1:21:39.120
<v Speaker 4>in every field.

1:21:39.160 --> 1:21:41.760
<v Speaker 1>Probably, yeah, exactly. And so in the end, thinking like

1:21:41.800 --> 1:21:44.559
<v Speaker 1>a physicist is just like thinking like a scientist, being

1:21:44.600 --> 1:21:47.920
<v Speaker 1>a curious person, trying to understand the world, being methodical

1:21:48.120 --> 1:21:50.439
<v Speaker 1>about it, trying not to fool yourself with what the

1:21:50.520 --> 1:21:51.240
<v Speaker 1>data is telling you.

1:21:51.960 --> 1:21:55.720
<v Speaker 4>Yeah, and just trying to maximize your functionality to the stakeholders.

1:21:57.520 --> 1:22:02.040
<v Speaker 1>Exactly, maximize shareholder revenue.

1:22:01.960 --> 1:22:03.519
<v Speaker 4>Mike andmized physicists employment.

1:22:06.120 --> 1:22:08.439
<v Speaker 1>Try not to cause any more financial collapses. Please.

1:22:08.600 --> 1:22:12.120
<v Speaker 4>All right, Well, an interesting discussion about thinking like a scientist,

1:22:12.120 --> 1:22:15.679
<v Speaker 4>thinking like a physicist. What are the commonalities and how

1:22:15.800 --> 1:22:19.120
<v Speaker 4>things might be a little bit unique for people who

1:22:19.120 --> 1:22:20.840
<v Speaker 4>pursue physics as a career.

1:22:20.840 --> 1:22:23.040
<v Speaker 1>And for those of you out there not pursuing physics

1:22:23.040 --> 1:22:25.960
<v Speaker 1>as a career but who have discovered a love for physics,

1:22:26.040 --> 1:22:29.240
<v Speaker 1>keep doing it, keep thinking like a physicist or a scientist,

1:22:29.280 --> 1:22:31.560
<v Speaker 1>and keep being curious about the world and trying to

1:22:31.600 --> 1:22:33.920
<v Speaker 1>make the whole thing click together in your mind.

1:22:34.080 --> 1:22:36.760
<v Speaker 4>Yeah, but mostly just keep thinking, please.

1:22:37.840 --> 1:22:40.519
<v Speaker 1>And keep listening to the pod. Thanks everybody, We.

1:22:40.560 --> 1:22:43.360
<v Speaker 4>Hope you enjoyed that. Thanks for joining us. See you

1:22:43.360 --> 1:22:43.800
<v Speaker 4>next time.

1:22:48.680 --> 1:22:51.920
<v Speaker 1>For more science and curiosity. Come find us on social media,

1:22:52.000 --> 1:22:55.519
<v Speaker 1>where we answer questions and post videos. We're on Twitter,

1:22:55.640 --> 1:22:59.280
<v Speaker 1>disc Org, Insta, and now TikTok. Thanks for listening. And

1:22:59.320 --> 1:23:02.040
<v Speaker 1>remember that Daniel and Jorge Explain the Universe is a

1:23:02.080 --> 1:23:06.680
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1:23:06.720 --> 1:23:10.880
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1:24:03.160 --> 1:24:06.599
<v Speaker 3>while enjoying rewards everywhere you travel. Cards issued by JP

1:24:06.720 --> 1:24:10.360
<v Speaker 3>Morgan Chase Bank NA member FDIC subject to credit approval

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<v Speaker 3>Offers subject to change. Terms apply.

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<v Speaker 14>You know how when you're living your life and then

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<v Speaker 14>all of a sudden you're out there helping cops solve crimes.

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<v Speaker 4>ABC Tuesday.

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<v Speaker 7>I have an IQ of one sixty.

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<v Speaker 1>I spot things that detectives missed.

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<v Speaker 2>The series premiere of fall's most anticipated new drama, High Potential.

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<v Speaker 10>That big brain of hers.

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<v Speaker 7>Is going to help us close out a lot of cases.

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<v Speaker 4>Caitlin Olsen is the new face of investigation.

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<v Speaker 9>You're a single mom pretending to be a I am

1:24:34.520 --> 1:24:35.120
<v Speaker 9>not pretending.

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<v Speaker 4>I'm just out here super copping.

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<v Speaker 2>High Potential series premiere Tuesday, ten ninth Central on ABC

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<v Speaker 2>and stream on Hulu