WEBVTT

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Generally good.

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Well then so let's say I have 40 things that

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I'm thinking about and 36 of them are going well and

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2 of them I'm struggling with.

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One is a total disaster and one is I wish I,

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you know,

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had never met that person.

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And so

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other than that,

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you're

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so far

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you're drinking tea,

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right?

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So that means you're relaxing.

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Is that English breakfast tea?

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Yes,

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which is really good.

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That and Earl Grey are my two favorite teas.

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That's my boyfriend's favorite.

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Yeah,

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well,

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Earl Grey has the flowers in it,

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so

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yeah,

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yeah,

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it has an aromatic,

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uh,

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set of flowers that give it a distinctive

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flavor.

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Yeah,

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to me it doesn't have enough kick as English breakfast.

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English breakfast tea is designed to move your body forward.

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Exactly.

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Are you good,

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Chris?

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Yeah,

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I'm Energy drinks have more caffeine than tea.

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I can never stand energy drink.

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They just like.

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Tea.

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I like tea.

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I just count down energy drinks.

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Are we ready to head?

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OK.

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Hi.

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So I'm Emma Vandenni.

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This is Joshua Pardey and Primro Zenga

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interviewing President Michael Crowe on February 1st at

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8:30 a.m. in the Fulton Foundation room.

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Um,

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this interview is part of the Barrett Oral History Project,

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and our goal is to preserve a record of Barrett's history in honor

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of Barrett's 30th anniversary as the oldest honor college in the nation.

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So thank you so much for sitting down and taking some time to answer our questions.

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We have 6 questions prepared and we're looking forward to your in-depth answer

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answers.

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Well,

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let me,

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let me say something about honors colleges.

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So this is something that,

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that people don't realize.

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And so,

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you know,

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Barrett,

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uh,

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uh,

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the honors college at ASU is a fantastic,

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fantastic institution.

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It has.

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Uh,

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created a teaching,

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learning,

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and discovery environment that's equal to any environment that's out there.

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But

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what people don't realize,

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like where I came from,

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Columbia University

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has at the heart of Columbia University a thing called Columbia College.

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Columbia College is the entity that's then

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connected to Harvard College at Harvard University,

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Yale College at Yale University,

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and so

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people don't realize that those are honors colleges.

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They're the same model but at a different

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kind of historical institution.

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And so,

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so,

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so what I mean by that is that,

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uh,

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Barrett Honors College,

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Columbia College,

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Harvard College,

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Yale College,

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uh,

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they are the same kind of place and I'm what I'm very proud of in our case is our

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level of um

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diversity,

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the number of intellectual pursuits that our students can take,

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the number of double and triple majors.

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Uh,

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at

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some of those honors colleges,

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uh,

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the Ivy League ones in particular,

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uh,

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you only have a handful of majors that you can pursue.

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Here our students can take hundreds of different options and mixing and matching,

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and not just on this campus,

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right.

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I know I'm from the downtown campus and Joshua,

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he takes most of his classes here,

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but he's,

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uh,

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lives around the West campus area,

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right?

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So I mean I just wanted to get that out there that

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people don't realize that what we've done here in the last 30 years

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is built a,

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uh,

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a modern.

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Uh,

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hyper,

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uh,

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intellectually broad,

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uh,

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honors college on the same fundamental basis as

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the idea of Harvard College or Columbia College,

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uh,

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but on a much broader spectrum with a very diverse student body,

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uh,

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and at a very large scale.

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Yeah,

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um,

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going

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back,

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uh,

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a little bit,

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I guess this,

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this kind of relates to your,

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your point that you just made,

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um,

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I just want to kind of get your own opinion like why do you think,

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what do you think,

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like,

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uh,

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why do you think an honors college is important for students?

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Like I know you,

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so,

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so I have a different view about honors colleges.

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So,

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so,

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so honors colleges to me are a highly

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designed learning environment

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for students with a particular approach to learning.

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So I'm not a big believer that somehow honors colleges are something in which

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medal,

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that is they like Olympic medal high school students

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are coming in to get further Olympic medals in college.

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It's a place where

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a kid who's interested in

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operatic,

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uh,

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um,

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singing can also double major in biomedical engineering

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and pick up Arabic as a side language because

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that's the way they learn.

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Now,

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I was one of those kids.

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I wanted to major in 5 different subjects simultaneously,

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so I wanted to be,

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I wanted to study political science.

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I wanted to study environmental science.

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I wanted to study engineering,

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linguistics,

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and anthropology.

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And so when I showed up to the university that I went to,

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I said I wanted to major in these 5 things,

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and they said,

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no,

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little boy,

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uh,

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you,

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you have to pick one.

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And I said I can't do that.

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And they said,

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OK,

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well then you're in distributed studies.

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And they said distributive studies is for the stupid little

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boys like you who can't decide what they wanna do.

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And so,

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so what,

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what I

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think our honors college is,

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is a place for

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highly energized,

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uh,

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individuals on

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two dimensions.

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One dimension is the.

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You know,

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the English major who is already a poet who wants

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to devote every ounce of their energy to their creative expression

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and wants to be overwhelmed with all of the complexity of English poetry.

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Uh,

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the other is the student,

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and it could be true in physics or chemistry or engineering or whatever,

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and the other is this person.

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Who wants to be completely immersed

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in the totality of learning

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without distraction,

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without

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constraint,

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and that's to me what an honors college is all about,

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and that's what that's what Barrett is about.

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Now,

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the same

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equally capable kid

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may say,

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you know,

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I just want to study chemical engineering and work at my dad's company.

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And fine.

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Or you know what I really wanna do is keep playing in

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my band and I wanna get a degree in business communications,

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you know,

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I,

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I just wanna get the,

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the,

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the what I call the mini max.

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So honors college students are what I call maxi max.

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So the maximum amount of the maximum effort,

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and then a lot of people,

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and it is rational,

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by the way,

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to be mini max,

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the minimum amount of the maximum effort.

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And so,

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and so we need an environment for the maximaxes.

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And so Barrett is a place where Maxi Maxes go.

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I love that vocabulary word.

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So now we're gonna jump a little bit more into the history.

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Um,

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so you became president in 2002,

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before you were born.

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Yes.

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Well,

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we were one or two,

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and it seems that one of your priorities was

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heavily developing and investing in the honors college and,

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um,

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transforming it into

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what is now called the gold standard of honors

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colleges and a residential college which didn't exist before.

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Uh,

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with its own

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facilities and its own,

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you know,

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connections in new ways.

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So those are decisions that we made.

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Yes,

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true.

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So going a little bit more into that,

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could you share more about the development of the Baird Honor College and some

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specific initiatives that helped create it?

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So,

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its creation,

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uh,

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back in the,

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uh,

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80s,

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uh,

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was really derivative of the emergence of ASU as a real university.

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So

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ASU didn't become a

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comprehensive

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opportunity to build a university.

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It didn't become a university even as a starting position.

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Until 1960,

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didn't even begin the process of becoming a research university until 1980,

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and President Nelson was here.

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He had been the chancellor of the University of Colorado at Boulder,

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and he was the person that said,

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Well,

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you know,

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we need a place where these Maximax learners

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can go,

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so let's get something started.

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And so 30 years in the,

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in the context of university history is like a nanosecond ago.

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You know,

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Harvard's almost 400 years old.

291
00:07:17.600 --> 00:07:20.339
Oxford and Cambridge are in the range of 1000 years old,

292
00:07:20.559 --> 00:07:20.859
and

293
00:07:21.000 --> 00:07:22.640
Barrett Honors College is 30 years old,

294
00:07:22.750 --> 00:07:23.350
so that's a,

295
00:07:23.640 --> 00:07:23.760
you know,

296
00:07:23.839 --> 00:07:24.779
a nanosecond.

297
00:07:25.040 --> 00:07:28.500
And so what was going on here was we were finding that there were really

298
00:07:28.760 --> 00:07:30.510
large numbers of students who were

299
00:07:31.000 --> 00:07:33.019
the same as the students at Harvard College,

300
00:07:33.279 --> 00:07:34.959
the same as the students at Stanford.

301
00:07:35.299 --> 00:07:35.779
Uh,

302
00:07:35.859 --> 00:07:36.179
uh,

303
00:07:36.459 --> 00:07:40.549
but generally not from as many from ultra wealthy families.

304
00:07:40.859 --> 00:07:45.079
And so what was being created here was an opportunity to create that kind of college

305
00:07:45.260 --> 00:07:46.019
in Arizona.

306
00:07:46.140 --> 00:07:46.519
So

307
00:07:46.739 --> 00:07:47.929
it was the brilliance of,

308
00:07:48.059 --> 00:07:48.410
of,

309
00:07:48.459 --> 00:07:48.880
uh,

310
00:07:49.380 --> 00:07:52.899
the team at the time to launch this fantastic idea

311
00:07:52.899 --> 00:07:55.079
of an honors college which then has evolved at.

312
00:07:55.540 --> 00:07:55.660
You know,

313
00:07:55.739 --> 00:07:58.929
10 times the normal speed of an academic enterprise

314
00:07:59.100 --> 00:08:00.429
because they don't evolve very quickly.

315
00:08:00.869 --> 00:08:00.880
We,

316
00:08:00.980 --> 00:08:04.220
so we've done 300 years of evolution in 30 years

317
00:08:04.500 --> 00:08:05.140
and have ended up,

318
00:08:05.179 --> 00:08:06.489
as you have already suggested,

319
00:08:06.500 --> 00:08:07.049
as the,

320
00:08:07.279 --> 00:08:08.920
the best of the best of the best.

321
00:08:10.119 --> 00:08:10.440
Uh,

322
00:08:10.559 --> 00:08:12.559
after you became president in 2002,

323
00:08:12.690 --> 00:08:15.959
1 of your first high profile outside hires was Dean Jacobs,

324
00:08:16.000 --> 00:08:17.079
who is now one of the

325
00:08:17.359 --> 00:08:19.079
longest serving deans here at ASU.

326
00:08:19.399 --> 00:08:21.359
Probably in the history of the institution also,

327
00:08:21.519 --> 00:08:21.829
so,

328
00:08:21.989 --> 00:08:22.260
uh,

329
00:08:22.519 --> 00:08:22.709
uh,

330
00:08:22.799 --> 00:08:23.079
he's,

331
00:08:23.160 --> 00:08:25.920
he came from one of the top liberal arts colleges in Swarthmore College,

332
00:08:26.160 --> 00:08:27.640
Swarthmore College in Pennsylvania.

333
00:08:28.000 --> 00:08:28.079
Uh,

334
00:08:28.160 --> 00:08:32.400
so could you mind sharing how hiring him fit into your plans for both ASU and Barrett?

335
00:08:32.479 --> 00:08:37.099
So what we were looking for with Barrett was I wanted to find a person where she or he.

336
00:08:37.590 --> 00:08:38.070
Uh,

337
00:08:38.229 --> 00:08:38.650
could,

338
00:08:38.659 --> 00:08:39.020
uh,

339
00:08:39.030 --> 00:08:41.229
come from one of these honors colleges,

340
00:08:41.630 --> 00:08:42.739
public or private.

341
00:08:43.058 --> 00:08:44.729
I think I probably preferred private,

342
00:08:44.869 --> 00:08:45.150
uh,

343
00:08:45.229 --> 00:08:47.229
to just get every ounce of,

344
00:08:47.669 --> 00:08:49.630
of the ideas out of that institution.

345
00:08:49.750 --> 00:08:50.590
So Mark,

346
00:08:50.940 --> 00:08:51.020
uh,

347
00:08:51.030 --> 00:08:52.070
was a chaired professor.

348
00:08:52.150 --> 00:08:55.109
He was the Centennial Professor of biology at Swarthmore College.

349
00:08:55.150 --> 00:08:56.109
He was the associate

350
00:08:56.510 --> 00:08:57.599
provost at Swarthmore College.

351
00:08:57.669 --> 00:09:00.349
We interviewed him and he knew exactly what we were trying to do.

352
00:09:00.789 --> 00:09:04.109
How do you build a world-class honors college like Swarthmore,

353
00:09:04.309 --> 00:09:05.030
which we have.

354
00:09:05.659 --> 00:09:08.809
But inside a university with 400 majors.

355
00:09:09.659 --> 00:09:11.299
400 degree pathways.

356
00:09:11.780 --> 00:09:13.109
Nothing like that could ever be done.

357
00:09:13.219 --> 00:09:16.440
I used to be a trustee of a college like Swarthmore called Bowdoin College

358
00:09:16.809 --> 00:09:17.419
in Brunswick,

359
00:09:17.530 --> 00:09:17.830
Maine,

360
00:09:17.940 --> 00:09:18.369
and,

361
00:09:18.380 --> 00:09:18.799
um,

362
00:09:19.260 --> 00:09:19.750
same thing.

363
00:09:19.900 --> 00:09:20.799
So there they had

364
00:09:20.979 --> 00:09:22.280
a few dozen majors.

365
00:09:22.679 --> 00:09:22.849
Uh,

366
00:09:22.929 --> 00:09:25.440
they had a few 100 students in the freshman class.

367
00:09:25.770 --> 00:09:26.049
Uh,

368
00:09:26.179 --> 00:09:26.739
and so,

369
00:09:26.820 --> 00:09:27.020
uh,

370
00:09:27.140 --> 00:09:28.460
what Mark was really interested in,

371
00:09:28.500 --> 00:09:29.859
and this is why we focused on him,

372
00:09:29.900 --> 00:09:31.880
and he's done a fantastic job as the dean,

373
00:09:32.219 --> 00:09:32.340
uh,

374
00:09:32.380 --> 00:09:34.219
it was how do we build the super,

375
00:09:34.340 --> 00:09:34.549
super,

376
00:09:34.700 --> 00:09:34.890
super,

377
00:09:35.020 --> 00:09:36.020
super Swarthmore.

378
00:09:36.369 --> 00:09:37.049
The super,

379
00:09:37.130 --> 00:09:37.489
super,

380
00:09:37.500 --> 00:09:37.929
super Williams,

381
00:09:38.010 --> 00:09:38.809
Amherst,

382
00:09:39.169 --> 00:09:39.599
Bowden,

383
00:09:40.200 --> 00:09:40.530
uh,

384
00:09:40.539 --> 00:09:40.969
Oberlin,

385
00:09:41.049 --> 00:09:42.150
where my wife went to college,

386
00:09:42.369 --> 00:09:42.830
uh,

387
00:09:42.840 --> 00:09:43.049
uh,

388
00:09:43.059 --> 00:09:43.520
Claremont,

389
00:09:43.650 --> 00:09:44.309
Pomona,

390
00:09:44.690 --> 00:09:45.039
uh,

391
00:09:45.109 --> 00:09:45.849
Grinnell,

392
00:09:45.979 --> 00:09:46.320
um,

393
00:09:46.479 --> 00:09:47.770
whatever the school happens to be.

394
00:09:47.859 --> 00:09:50.169
How do we build one of those inside ASU

395
00:09:50.570 --> 00:09:52.750
and then take advantage of the entirety of the university,

396
00:09:52.770 --> 00:09:54.200
and Mark wanted to do that

397
00:09:54.559 --> 00:09:55.330
and has done that.

398
00:09:56.960 --> 00:09:59.049
One of my questions that um is always my

399
00:09:59.049 --> 00:10:00.809
favorite one to ask in these types of interviews,

400
00:10:00.929 --> 00:10:03.049
what is one of your best memories or stories

401
00:10:03.049 --> 00:10:04.609
that you have from the history of Barrett?

402
00:10:05.859 --> 00:10:05.929
Well,

403
00:10:05.979 --> 00:10:09.380
I've had a lot of Barrett students in my classes that I teach.

404
00:10:09.780 --> 00:10:10.580
What classes do you teach?

405
00:10:10.700 --> 00:10:10.900
I,

406
00:10:10.979 --> 00:10:11.760
I the most,

407
00:10:11.900 --> 00:10:15.520
the most common class that I teach is a class called Science and Technology

408
00:10:15.859 --> 00:10:16.969
and Public Affairs,

409
00:10:17.289 --> 00:10:19.140
which is a science and technology policy class which

410
00:10:19.140 --> 00:10:21.280
I'm teaching fits your desires that you wanted.

411
00:10:21.750 --> 00:10:21.979
Well anyway,

412
00:10:22.099 --> 00:10:22.190
so,

413
00:10:22.309 --> 00:10:22.500
so,

414
00:10:22.619 --> 00:10:23.219
so it does.

415
00:10:23.299 --> 00:10:23.929
And so,

416
00:10:24.299 --> 00:10:25.000
so exactly.

417
00:10:25.090 --> 00:10:25.659
And so,

418
00:10:25.739 --> 00:10:25.979
uh,

419
00:10:26.090 --> 00:10:26.380
like the,

420
00:10:26.460 --> 00:10:30.020
the students that are in there this semester or last year or the year before.

421
00:10:30.260 --> 00:10:32.559
So what I find in the Barrett students is this,

422
00:10:32.940 --> 00:10:33.679
um.

423
00:10:36.049 --> 00:10:39.200
Unbridled willingness to engage in

424
00:10:39.369 --> 00:10:41.440
intellectual discourse

425
00:10:41.659 --> 00:10:42.419
at the highest level.

426
00:10:42.460 --> 00:10:42.849
In fact,

427
00:10:43.380 --> 00:10:45.080
within this university community,

428
00:10:45.780 --> 00:10:46.619
including in that class,

429
00:10:46.659 --> 00:10:48.539
which is 3/4 graduate students,

430
00:10:49.020 --> 00:10:52.440
they are unequivocally and always the most courageous,

431
00:10:53.140 --> 00:10:57.719
always the ones trying to learn across the broadest spectrum of learning,

432
00:10:58.140 --> 00:10:58.369
uh,

433
00:10:58.539 --> 00:10:59.979
always double majors,

434
00:11:00.099 --> 00:11:01.159
triple majors,

435
00:11:01.219 --> 00:11:01.500
uh,

436
00:11:01.659 --> 00:11:02.799
multilingual.

437
00:11:03.109 --> 00:11:03.429
Uh,

438
00:11:03.510 --> 00:11:04.690
multi-functional,

439
00:11:04.909 --> 00:11:05.309
you know,

440
00:11:05.390 --> 00:11:05.969
uh,

441
00:11:06.469 --> 00:11:06.830
uh,

442
00:11:07.229 --> 00:11:08.659
piano player,

443
00:11:08.789 --> 00:11:09.309
um,

444
00:11:09.710 --> 00:11:11.169
piano concert piano,

445
00:11:11.239 --> 00:11:11.429
uh,

446
00:11:11.559 --> 00:11:12.270
master,

447
00:11:12.750 --> 00:11:13.190
uh,

448
00:11:13.349 --> 00:11:14.489
drum major,

449
00:11:15.260 --> 00:11:15.539
you know,

450
00:11:15.750 --> 00:11:17.989
mashed in with economics and philosophy,

451
00:11:18.030 --> 00:11:18.570
and I'm like,

452
00:11:18.890 --> 00:11:20.070
and now we got something to talk about.

453
00:11:20.390 --> 00:11:20.710
And so,

454
00:11:20.830 --> 00:11:24.729
so what I find in the course and the way that it works is that they are always.

455
00:11:25.159 --> 00:11:27.429
The ones driving the hardest and so

456
00:11:27.570 --> 00:11:27.989
my

457
00:11:28.169 --> 00:11:31.229
remembrance of the honors college is my engagement with honors

458
00:11:31.530 --> 00:11:31.799
students.

459
00:11:31.849 --> 00:11:33.710
Now I've also been on honors,

460
00:11:33.770 --> 00:11:34.150
um,

461
00:11:34.489 --> 00:11:34.679
uh,

462
00:11:34.690 --> 00:11:35.909
thesis committees,

463
00:11:36.210 --> 00:11:36.640
uh,

464
00:11:36.719 --> 00:11:37.669
and reviewers.

465
00:11:37.690 --> 00:11:39.210
And so one of my students who took my class,

466
00:11:39.289 --> 00:11:40.400
who then did an honors thesis,

467
00:11:40.450 --> 00:11:40.929
who then

468
00:11:41.169 --> 00:11:43.169
finished her PhD in like 6 months

469
00:11:43.409 --> 00:11:43.869
here,

470
00:11:43.929 --> 00:11:44.080
uh,

471
00:11:44.169 --> 00:11:47.500
who's now at Stanford Law School on a full ride scholarship,

472
00:11:48.340 --> 00:11:48.969
I'm just like,

473
00:11:49.330 --> 00:11:49.440
like,

474
00:11:49.469 --> 00:11:49.729
dude,

475
00:11:49.809 --> 00:11:50.109
I mean.

476
00:11:51.260 --> 00:11:51.270
Uh,

477
00:11:51.919 --> 00:11:53.190
I could only wish

478
00:11:53.960 --> 00:11:55.479
that I had half of your ability.

479
00:11:55.989 --> 00:11:56.000
Uh,

480
00:11:56.159 --> 00:11:57.780
and so I've also met people,

481
00:11:57.840 --> 00:11:58.099
uh,

482
00:11:58.200 --> 00:12:00.739
coming through the honors college who are unparalleled.

483
00:12:01.229 --> 00:12:01.250
Uh,

484
00:12:01.599 --> 00:12:03.260
so there was an honors college graduate from,

485
00:12:03.380 --> 00:12:03.630
I think,

486
00:12:03.640 --> 00:12:05.700
the early 2000s named Matthew Desmond.

487
00:12:05.960 --> 00:12:07.119
I don't know if you guys track him.

488
00:12:07.719 --> 00:12:09.460
So he's a local kid from Arizona.

489
00:12:10.159 --> 00:12:10.710
So,

490
00:12:10.719 --> 00:12:11.190
uh,

491
00:12:11.200 --> 00:12:11.780
he,

492
00:12:11.799 --> 00:12:12.400
um.

493
00:12:13.520 --> 00:12:14.469
Grew up near Winslow,

494
00:12:14.549 --> 00:12:15.200
Arizona,

495
00:12:15.789 --> 00:12:18.580
so he now is a full professor at Princeton in an endowed chair.

496
00:12:18.630 --> 00:12:20.210
I think he's like 35 years old,

497
00:12:20.549 --> 00:12:21.849
but last year he won

498
00:12:22.030 --> 00:12:23.890
the Pulitzer Prize

499
00:12:24.229 --> 00:12:25.849
and a MacArthur Genius award.

500
00:12:27.070 --> 00:12:27.530
I'm like,

501
00:12:27.690 --> 00:12:27.869
yeah,

502
00:12:27.989 --> 00:12:29.309
that's what Barrett produces,

503
00:12:29.590 --> 00:12:30.020
absolutely.

504
00:12:31.020 --> 00:12:33.869
Do you have a favorite like thesis project that you oversaw?

505
00:12:35.599 --> 00:12:35.859
Well,

506
00:12:35.960 --> 00:12:36.280
I mean,

507
00:12:36.440 --> 00:12:36.950
um,

508
00:12:38.169 --> 00:12:38.809
The,

509
00:12:38.929 --> 00:12:39.469
the

510
00:12:39.770 --> 00:12:41.969
most exciting projects that I've been involved with,

511
00:12:42.090 --> 00:12:42.590
with

512
00:12:42.729 --> 00:12:43.849
Barrett is when the,

513
00:12:43.969 --> 00:12:45.090
so when I was at Columbia,

514
00:12:45.169 --> 00:12:46.450
we could give A pluses.

515
00:12:47.210 --> 00:12:50.510
And so I gave A pluses to uh students that taught me.

516
00:12:50.619 --> 00:12:52.700
So the condition to get an A plus was,

517
00:12:53.059 --> 00:12:53.940
did you teach me?

518
00:12:54.309 --> 00:12:56.109
Did I learn from you as a student?

519
00:12:56.460 --> 00:12:58.210
If I learned from you as a student,

520
00:12:58.539 --> 00:12:59.820
I don't even care how you did on a test.

521
00:12:59.859 --> 00:13:00.739
I gave you an A plus.

522
00:13:01.539 --> 00:13:02.380
I don't care about your paper.

523
00:13:02.450 --> 00:13:04.299
If I learned from you and you're that smart,

524
00:13:04.419 --> 00:13:05.419
I gave you an A+.

525
00:13:06.010 --> 00:13:06.659
And so I,

526
00:13:06.820 --> 00:13:10.570
I've had many A+ experiences with Barrett students where they're teaching me,

527
00:13:10.859 --> 00:13:12.270
where they're bringing in some angle,

528
00:13:12.380 --> 00:13:13.179
some perspective,

529
00:13:13.299 --> 00:13:13.659
some,

530
00:13:13.859 --> 00:13:15.039
some way of thinking.

531
00:13:15.690 --> 00:13:16.369
And so I,

532
00:13:16.419 --> 00:13:17.260
I graduated from,

533
00:13:17.299 --> 00:13:17.659
I,

534
00:13:17.820 --> 00:13:19.059
I graduated from college,

535
00:13:19.140 --> 00:13:19.309
uh,

536
00:13:19.400 --> 00:13:21.479
42 years ago.

537
00:13:21.940 --> 00:13:22.109
Uh,

538
00:13:22.179 --> 00:13:24.669
last year was the year that I learned the most,

539
00:13:25.059 --> 00:13:26.840
so I've been in college for 42 years.

540
00:13:27.590 --> 00:13:29.700
And so there were Barrett students last year that.

541
00:13:30.770 --> 00:13:31.349
Taught me,

542
00:13:31.770 --> 00:13:33.880
even though I've been in college for 42 years,

543
00:13:34.210 --> 00:13:35.630
so some 19-year-old kid

544
00:13:36.320 --> 00:13:38.869
with a with a 1000 horsepower brain

545
00:13:39.650 --> 00:13:41.349
tied into the internet,

546
00:13:41.729 --> 00:13:41.739
uh,

547
00:13:42.190 --> 00:13:42.289
you know,

548
00:13:42.530 --> 00:13:43.690
dreaming and imagining,

549
00:13:43.770 --> 00:13:47.369
so the most powerful human expression is imagination.

550
00:13:47.849 --> 00:13:50.890
So if you match that intellect level with imagination

551
00:13:50.890 --> 00:13:53.250
in a young person who's fearless about the future,

552
00:13:53.549 --> 00:13:55.309
they're going to teach an old person like me

553
00:13:55.489 --> 00:13:56.130
all kinds of things.

554
00:13:56.200 --> 00:13:57.630
And so my experiences with,

555
00:13:57.640 --> 00:13:57.950
with uh.

556
00:13:58.429 --> 00:13:59.729
Barrett's students are

557
00:14:00.229 --> 00:14:01.609
about learning from them.

558
00:14:03.780 --> 00:14:05.979
Going back to the idea that the Barrett Honors

559
00:14:05.979 --> 00:14:08.250
College is a unique learning environment for students,

560
00:14:08.539 --> 00:14:10.979
I understand that you attended attended 17

561
00:14:10.979 --> 00:14:13.140
different schools before you graduated high school,

562
00:14:13.739 --> 00:14:16.239
so you experienced the ones I stayed at longer than 2 weeks.

563
00:14:17.280 --> 00:14:17.289
Oh.

564
00:14:18.109 --> 00:14:18.700
Through those,

565
00:14:18.750 --> 00:14:19.150
uh,

566
00:14:19.159 --> 00:14:22.049
experiences you found many different ways of approaching

567
00:14:22.989 --> 00:14:23.000
education.

568
00:14:23.010 --> 00:14:25.280
So how have your unique experiences in grade school

569
00:14:25.280 --> 00:14:27.710
helped you form the gold standard of honors colleges?

570
00:14:27.799 --> 00:14:27.950
Well,

571
00:14:28.000 --> 00:14:29.030
the first thing that happened when you moved

572
00:14:29.030 --> 00:14:31.159
around from town to town in working class communities

573
00:14:31.159 --> 00:14:34.299
like I did was that you first had to defend yourself because you're gonna get beat up.

574
00:14:34.590 --> 00:14:34.900
Uh,

575
00:14:34.919 --> 00:14:38.369
and so my hands are covered with the scars of other little boys' teeth,

576
00:14:38.380 --> 00:14:38.869
uh,

577
00:14:38.909 --> 00:14:39.510
and so,

578
00:14:39.559 --> 00:14:39.750
uh,

579
00:14:39.760 --> 00:14:41.760
battling in every school imaginable.

580
00:14:41.840 --> 00:14:42.960
So that's learning also.

581
00:14:43.400 --> 00:14:46.280
And then there's adjusting to people that are biased and bigoted,

582
00:14:46.679 --> 00:14:47.070
uh,

583
00:14:47.119 --> 00:14:47.429
and,

584
00:14:47.440 --> 00:14:47.659
uh,

585
00:14:47.669 --> 00:14:50.390
don't like people that look like me or wear the clothes

586
00:14:50.390 --> 00:14:53.460
that I wore or spoke with the accent that I have.

587
00:14:53.880 --> 00:14:54.799
I have an accent,

588
00:14:55.200 --> 00:14:55.400
and,

589
00:14:55.440 --> 00:14:58.380
and my accent wasn't as popular in Florida

590
00:14:58.640 --> 00:15:00.539
or Tennessee or Texas,

591
00:15:00.880 --> 00:15:01.450
uh,

592
00:15:01.500 --> 00:15:01.880
uh,

593
00:15:01.919 --> 00:15:03.719
or Maryland or other places that we lived,

594
00:15:03.799 --> 00:15:04.460
Missouri,

595
00:15:04.960 --> 00:15:05.150
uh,

596
00:15:05.239 --> 00:15:05.950
and so,

597
00:15:06.159 --> 00:15:07.840
so you learn from that also.

598
00:15:07.960 --> 00:15:10.219
So learning is not just about your academic.

599
00:15:10.750 --> 00:15:11.190
Ability.

600
00:15:11.309 --> 00:15:15.330
So the other thing that I learned in those 17 schools and moving around is the

601
00:15:15.830 --> 00:15:17.409
unbelievably uh

602
00:15:17.510 --> 00:15:20.489
and overly rigid educational models that

603
00:15:20.789 --> 00:15:22.760
force people to learn in,

604
00:15:22.770 --> 00:15:23.250
um,

605
00:15:23.820 --> 00:15:24.880
mechanistic ways.

606
00:15:24.950 --> 00:15:26.809
And so the French philosopher,

607
00:15:27.229 --> 00:15:27.440
uh,

608
00:15:27.549 --> 00:15:28.049
writer,

609
00:15:28.109 --> 00:15:28.380
uh,

610
00:15:28.390 --> 00:15:29.229
Foucault,

611
00:15:29.559 --> 00:15:29.710
you know,

612
00:15:29.789 --> 00:15:31.849
basically says if you want to change

613
00:15:32.580 --> 00:15:32.710
education,

614
00:15:32.750 --> 00:15:36.130
then look at the way the seats are nailed to the floor

615
00:15:36.390 --> 00:15:37.289
in a classroom.

616
00:15:38.000 --> 00:15:40.609
Because then that creates the rigidity of a learning environment.

617
00:15:40.719 --> 00:15:42.789
So what I learned growing up was

618
00:15:43.369 --> 00:15:45.359
the rigidity of these environments that I was going through.

619
00:15:45.409 --> 00:15:46.750
So I'd go from one school,

620
00:15:47.330 --> 00:15:47.750
uh,

621
00:15:47.869 --> 00:15:48.479
in one grade,

622
00:15:48.530 --> 00:15:49.890
I'd be like in the 4th grade,

623
00:15:49.969 --> 00:15:50.760
I was in,

624
00:15:50.770 --> 00:15:51.190
um,

625
00:15:52.309 --> 00:15:53.429
School in uh,

626
00:15:53.830 --> 00:15:54.349
in the 3rd grade,

627
00:15:54.390 --> 00:15:55.690
I was in school in California.

628
00:15:56.570 --> 00:15:58.830
Two different schools and then in the 4th grade

629
00:15:58.830 --> 00:16:01.539
I went to 3 schools in metropolitan Chicago,

630
00:16:02.090 --> 00:16:02.450
uh,

631
00:16:02.489 --> 00:16:04.919
and so what I found in all of those environments,

632
00:16:04.969 --> 00:16:07.500
so that's 5 schools in those 2 years,

633
00:16:07.900 --> 00:16:11.549
and what I found in those 2 years was then that the teachers were

634
00:16:11.929 --> 00:16:13.570
relentless bureaucrats,

635
00:16:13.849 --> 00:16:14.080
uh,

636
00:16:14.090 --> 00:16:16.409
built on a rigid model of instruction with no,

637
00:16:16.570 --> 00:16:18.630
no tolerance for variability whatsoever.

638
00:16:19.210 --> 00:16:20.400
Now I'm only in the 4th grade,

639
00:16:20.489 --> 00:16:21.710
so I'm 9 years old,

640
00:16:21.929 --> 00:16:25.030
but I can already tell at 9 years old that there's something wrong.

641
00:16:25.599 --> 00:16:26.380
I don't know what it is,

642
00:16:26.469 --> 00:16:27.239
but I do know that,

643
00:16:27.390 --> 00:16:27.520
you know,

644
00:16:27.599 --> 00:16:28.059
they would,

645
00:16:28.080 --> 00:16:28.400
they would say,

646
00:16:28.450 --> 00:16:28.520
well,

647
00:16:28.559 --> 00:16:29.030
you don't know this,

648
00:16:29.080 --> 00:16:29.750
what's wrong with you?

649
00:16:30.669 --> 00:16:31.229
You don't know this.

650
00:16:31.309 --> 00:16:31.789
What's wrong with you?

651
00:16:31.859 --> 00:16:32.989
So I have this joke that I,

652
00:16:33.070 --> 00:16:35.890
that I developed over time that I know nothing about the comma

653
00:16:36.950 --> 00:16:38.369
or the numeral 8

654
00:16:38.909 --> 00:16:40.020
because somewhere along the way,

655
00:16:40.070 --> 00:16:41.109
I use that as an example,

656
00:16:41.190 --> 00:16:41.750
it's not true.

657
00:16:41.830 --> 00:16:43.989
I learned about commas later when I was in college.

658
00:16:44.409 --> 00:16:44.849
And so,

659
00:16:44.969 --> 00:16:45.099
but,

660
00:16:45.190 --> 00:16:46.960
but somewhere along the way when I was

661
00:16:46.960 --> 00:16:49.109
learning to write and learning to express myself,

662
00:16:49.479 --> 00:16:52.140
because I was moving back and forth between all of these teachers,

663
00:16:52.409 --> 00:16:54.710
because they could only teach in their rigid way,

664
00:16:55.270 --> 00:16:57.690
block by block by block by block by block,

665
00:16:57.859 --> 00:17:00.489
there was no tolerance for anything different and then what that taught me was,

666
00:17:00.570 --> 00:17:02.039
and I think that this is really important,

667
00:17:02.369 --> 00:17:06.348
what that taught me was that now imagine there's any disruption at your home.

668
00:17:07.180 --> 00:17:09.560
Imagine there's any disruption in your family life

669
00:17:09.979 --> 00:17:10.858
and there's any change.

670
00:17:10.979 --> 00:17:13.060
My mother died along the way when I was 8 years,

671
00:17:13.098 --> 00:17:13.939
9 years old,

672
00:17:14.239 --> 00:17:14.540
uh,

673
00:17:14.660 --> 00:17:15.140
and so,

674
00:17:15.260 --> 00:17:16.339
and so what that means is,

675
00:17:16.449 --> 00:17:16.670
and I,

676
00:17:16.739 --> 00:17:16.858
you know,

677
00:17:17.020 --> 00:17:17.439
I got,

678
00:17:17.618 --> 00:17:17.839
you know,

679
00:17:18.140 --> 00:17:20.699
my family at least had money to buy food and

680
00:17:20.699 --> 00:17:22.699
pay rent and think of all the families that don't.

681
00:17:23.368 --> 00:17:24.648
How are you gonna learn then in

682
00:17:24.648 --> 00:17:28.428
the context of a rigid regimented bureaucratic teacher

683
00:17:28.688 --> 00:17:31.468
who has little tolerance for any variability in the students

684
00:17:31.609 --> 00:17:35.588
when in fact it is in fact the variability between and among the students

685
00:17:35.769 --> 00:17:37.239
that empowers their learning

686
00:17:37.529 --> 00:17:38.208
and so what we,

687
00:17:38.288 --> 00:17:42.328
what we're living in now is in fact a strange industrialized model.

688
00:17:42.369 --> 00:17:42.609
In fact,

689
00:17:42.659 --> 00:17:43.009
I

690
00:17:43.239 --> 00:17:46.948
began in all these schools that I went to to think of it as nothing but a factory.

691
00:17:47.968 --> 00:17:49.769
And so then what would happen from time to time,

692
00:17:49.808 --> 00:17:51.828
I would occasionally meet a teacher and they would say,

693
00:17:52.259 --> 00:17:52.629
oh.

694
00:17:53.310 --> 00:17:53.969
I see

695
00:17:54.270 --> 00:17:55.500
you're not like the rest of us here,

696
00:17:55.510 --> 00:17:57.089
and so they would let me do my own thing.

697
00:17:57.750 --> 00:17:59.380
So when I went to one school in the 10th grade,

698
00:17:59.430 --> 00:18:02.020
I moved around a lot in the 10th grade because my dad had gotten out of the Navy,

699
00:18:02.069 --> 00:18:02.750
didn't have a job.

700
00:18:02.819 --> 00:18:03.910
We were living in Missouri,

701
00:18:03.989 --> 00:18:04.729
living in Maryland,

702
00:18:05.109 --> 00:18:05.949
living in Illinois,

703
00:18:06.030 --> 00:18:06.949
moving all over the place,

704
00:18:07.069 --> 00:18:08.060
trying to make things happen.

705
00:18:08.380 --> 00:18:10.829
And so the one biology teacher who was a genius teacher,

706
00:18:10.910 --> 00:18:11.150
he said,

707
00:18:11.270 --> 00:18:11.390
Oh,

708
00:18:11.510 --> 00:18:11.910
Michael.

709
00:18:12.859 --> 00:18:14.020
I'm gonna give you some mice.

710
00:18:14.829 --> 00:18:16.689
And you're gonna just do some experiments.

711
00:18:16.989 --> 00:18:20.430
I want you to figure out how to design an experiment and do some experiments on mice.

712
00:18:20.510 --> 00:18:22.189
So I started reading everything and

713
00:18:22.630 --> 00:18:22.910
what was,

714
00:18:22.989 --> 00:18:23.109
you know,

715
00:18:23.180 --> 00:18:24.689
and so I did these experiments about

716
00:18:25.310 --> 00:18:25.729
dark

717
00:18:25.910 --> 00:18:28.989
and light and mice and eating and weight gain and other stuff.

718
00:18:29.030 --> 00:18:29.469
I didn't know what,

719
00:18:29.589 --> 00:18:31.150
so I started designing an experiment,

720
00:18:31.270 --> 00:18:32.189
doing an experiment,

721
00:18:32.469 --> 00:18:34.349
and I was learning biology and learning behavior,

722
00:18:34.469 --> 00:18:34.930
learning,

723
00:18:35.199 --> 00:18:35.420
uh,

724
00:18:35.449 --> 00:18:37.180
organisms and all this other kind of stuff,

725
00:18:37.229 --> 00:18:38.170
and it was fantastic.

726
00:18:38.750 --> 00:18:39.369
And so

727
00:18:39.469 --> 00:18:40.290
what I found,

728
00:18:40.500 --> 00:18:40.630
you know,

729
00:18:40.750 --> 00:18:41.829
not to the heart of your question,

730
00:18:41.949 --> 00:18:43.550
but tangentially to your question.

731
00:18:43.920 --> 00:18:45.760
What I found was that,

732
00:18:45.790 --> 00:18:46.040
uh,

733
00:18:46.050 --> 00:18:47.939
moving around taught me

734
00:18:48.439 --> 00:18:48.890
how

735
00:18:49.040 --> 00:18:53.310
fundamentally flawed the overall educational process really is.

736
00:18:53.660 --> 00:18:57.459
And then that gave me high tolerance for being willing to be creative,

737
00:18:57.959 --> 00:18:59.199
to be a part of doing new things.

738
00:18:59.280 --> 00:19:00.150
You might notice that we have,

739
00:19:00.199 --> 00:19:00.319
you know,

740
00:19:00.400 --> 00:19:02.560
30 transdisciplinary schools at ASU.

741
00:19:02.640 --> 00:19:03.160
We have,

742
00:19:03.479 --> 00:19:05.709
we have anti-disciplinary schools at ASU.

743
00:19:05.800 --> 00:19:06.280
We have,

744
00:19:06.599 --> 00:19:06.979
uh,

745
00:19:07.449 --> 00:19:07.469
uh,

746
00:19:07.599 --> 00:19:07.800
there were,

747
00:19:07.910 --> 00:19:11.060
there was a young woman in Barrett that I met a few years ago.

748
00:19:12.109 --> 00:19:13.910
Who had been admitted to Juilliard,

749
00:19:13.989 --> 00:19:14.189
you know,

750
00:19:14.550 --> 00:19:15.449
supposedly the most,

751
00:19:15.469 --> 00:19:15.949
uh,

752
00:19:16.349 --> 00:19:16.839
um,

753
00:19:17.069 --> 00:19:17.489
uh,

754
00:19:17.959 --> 00:19:19.630
exclusive music school in the country,

755
00:19:19.709 --> 00:19:21.270
but she didn't want to go to Juilliard because

756
00:19:21.270 --> 00:19:23.270
they wouldn't let her also be a biochemistry major.

757
00:19:24.430 --> 00:19:24.500
Well,

758
00:19:24.550 --> 00:19:24.989
here you can be,

759
00:19:25.069 --> 00:19:25.189
you know,

760
00:19:25.310 --> 00:19:27.689
you wanna be a biochemistry major while you study music?

761
00:19:27.829 --> 00:19:28.030
OK,

762
00:19:28.150 --> 00:19:28.609
no problem.

763
00:19:29.109 --> 00:19:32.170
And so that's what I would have preferred when I showed up to college.

764
00:19:32.550 --> 00:19:35.510
That's what I would prefer today if I was your age and just coming to college.

765
00:19:35.589 --> 00:19:37.050
I would walk up to the person

766
00:19:37.339 --> 00:19:39.020
and I wouldn't say 5 majors.

767
00:19:39.349 --> 00:19:42.449
I would say these are the 10 things I want to try to learn while I'm here.

768
00:19:43.189 --> 00:19:46.540
Please customize for me a pathway through this institution

769
00:19:46.750 --> 00:19:48.349
where I can come out with this understanding,

770
00:19:48.430 --> 00:19:50.449
or I would say all I want to do.

771
00:19:51.280 --> 00:19:52.550
Is I want to read books.

772
00:19:54.359 --> 00:19:54.949
And they would say,

773
00:19:55.000 --> 00:19:55.520
OK,

774
00:19:55.760 --> 00:19:56.680
here's those books.

775
00:19:57.000 --> 00:19:58.510
And then when you're done reading those books,

776
00:19:58.839 --> 00:20:00.030
now you're a master learner.

777
00:20:00.119 --> 00:20:00.540
So

778
00:20:01.000 --> 00:20:01.729
we're still not there,

779
00:20:01.810 --> 00:20:03.719
but we're closer at ASU than most places.

780
00:20:04.079 --> 00:20:04.209
Yeah,

781
00:20:04.250 --> 00:20:04.449
I mean,

782
00:20:04.489 --> 00:20:06.260
I think the human event is a really good example.

783
00:20:06.719 --> 00:20:09.130
I like discussing different books and,

784
00:20:09.310 --> 00:20:09.719
um,

785
00:20:10.010 --> 00:20:13.410
just having these like discussions about the human psyche and how it's evolved.

786
00:20:13.770 --> 00:20:15.160
So we have one last question for you,

787
00:20:15.239 --> 00:20:15.420
um,

788
00:20:15.569 --> 00:20:16.290
before we wrap up.

789
00:20:16.329 --> 00:20:16.760
Um,

790
00:20:16.969 --> 00:20:18.810
where do you see Barrett in the larger vision

791
00:20:18.810 --> 00:20:21.209
of ASU because we know that you oversee ASU,

792
00:20:21.270 --> 00:20:22.449
but specifically with Barrett,

793
00:20:22.489 --> 00:20:25.530
like what are your hopes for the future of continued growth at Barrett?

794
00:20:25.569 --> 00:20:29.069
So one thing I'm hoping for with Barris Barrett is enhanced diversity.

795
00:20:29.540 --> 00:20:30.020
Uh,

796
00:20:30.219 --> 00:20:30.520
more,

797
00:20:30.699 --> 00:20:31.319
uh,

798
00:20:31.359 --> 00:20:31.890
uh,

799
00:20:31.900 --> 00:20:33.099
socioeconomic diversity,

800
00:20:33.300 --> 00:20:34.369
more ethnic diversity.

801
00:20:34.410 --> 00:20:36.810
It's already more diverse than most honors colleges,

802
00:20:37.180 --> 00:20:38.489
including the Columbia's and the,

803
00:20:38.579 --> 00:20:39.979
and the Harvard's and so forth,

804
00:20:40.260 --> 00:20:41.599
but we need more diversity.

805
00:20:41.689 --> 00:20:42.050
Uh,

806
00:20:42.380 --> 00:20:44.319
I'm looking for it to be a place where,

807
00:20:44.540 --> 00:20:44.689
uh,

808
00:20:44.739 --> 00:20:45.579
this will sound strange,

809
00:20:45.619 --> 00:20:47.560
and I'm looking at the vice dean over there,

810
00:20:47.939 --> 00:20:48.390
uh,

811
00:20:48.579 --> 00:20:49.099
um.

812
00:20:50.150 --> 00:20:51.500
Like triple majors are common.

813
00:20:53.579 --> 00:20:54.020
Common

814
00:20:55.209 --> 00:20:55.569
Uh,

815
00:20:55.609 --> 00:20:56.089
and so,

816
00:20:56.209 --> 00:20:58.079
and so the notion of then thinking through,

817
00:20:58.969 --> 00:21:01.770
now we just did an article on a bunch of triple majors here just the other day,

818
00:21:01.810 --> 00:21:02.150
and

819
00:21:02.329 --> 00:21:03.369
one of them I happen to know,

820
00:21:03.410 --> 00:21:05.369
and I ran into him last night walking to the,

821
00:21:05.900 --> 00:21:06.050
the,

822
00:21:06.130 --> 00:21:08.150
the defeat of the University of Arizona game,

823
00:21:08.569 --> 00:21:08.739
uh,

824
00:21:08.890 --> 00:21:09.670
and

825
00:21:09.959 --> 00:21:10.089
yes,

826
00:21:10.290 --> 00:21:10.489
right,

827
00:21:10.589 --> 00:21:11.050
and so,

828
00:21:11.160 --> 00:21:12.250
and so I was talking to him and,

829
00:21:12.329 --> 00:21:12.530
and,

830
00:21:12.609 --> 00:21:13.030
and,

831
00:21:13.310 --> 00:21:14.560
and he was kind of interesting and so,

832
00:21:14.689 --> 00:21:14.849
you know,

833
00:21:14.930 --> 00:21:16.160
he just said that it's all about,

834
00:21:16.329 --> 00:21:16.530
you know,

835
00:21:16.810 --> 00:21:18.130
planning and discipline and

836
00:21:18.560 --> 00:21:18.900
You know,

837
00:21:19.040 --> 00:21:20.900
not thinking about summers off,

838
00:21:20.920 --> 00:21:21.650
and

839
00:21:21.790 --> 00:21:21.880
you know,

840
00:21:21.920 --> 00:21:21.949
I,

841
00:21:22.079 --> 00:21:23.069
I'm like summers off.

842
00:21:23.119 --> 00:21:25.680
I don't even know what that like when I went to college at age 17,

843
00:21:25.760 --> 00:21:25.920
I,

844
00:21:26.000 --> 00:21:27.479
I never went home to live again.

845
00:21:28.750 --> 00:21:29.689
What did you do?

846
00:21:30.109 --> 00:21:31.109
I had to find jobs.

847
00:21:31.189 --> 00:21:32.589
I had to find ways to advance.

848
00:21:32.670 --> 00:21:33.260
I had to,

849
00:21:33.670 --> 00:21:33.819
you know,

850
00:21:33.910 --> 00:21:33.939
I,

851
00:21:34.069 --> 00:21:34.430
I was like,

852
00:21:34.500 --> 00:21:34.719
you know,

853
00:21:34.869 --> 00:21:39.280
I took my trunk out of my dad's station wagon and that was it and then move on.

854
00:21:39.709 --> 00:21:40.300
And so,

855
00:21:40.390 --> 00:21:43.089
and so I'm not saying that that's what every student should do,

856
00:21:43.189 --> 00:21:43.530
but

857
00:21:43.709 --> 00:21:44.550
when you go to college,

858
00:21:44.630 --> 00:21:46.010
you should go to college.

859
00:21:46.349 --> 00:21:49.589
You should take the 3 or 4 or 5 years that you're gonna be in college and.

860
00:21:49.930 --> 00:21:51.810
Get your 3 majors or your,

861
00:21:51.819 --> 00:21:51.829
your,

862
00:21:51.839 --> 00:21:53.530
your bachelor's and your master's,

863
00:21:53.609 --> 00:21:53.800
you know,

864
00:21:53.890 --> 00:21:54.729
all at the same time.

865
00:21:54.810 --> 00:21:55.489
And so what I'm

866
00:21:55.729 --> 00:21:57.989
hopeful that Barrett can demonstrate is

867
00:21:58.359 --> 00:22:03.390
what would be the highest order master learner that human beings could produce

868
00:22:04.089 --> 00:22:05.670
and can Barrett produce those.

869
00:22:07.349 --> 00:22:08.430
That's a daring question.

870
00:22:08.510 --> 00:22:08.599
I

871
00:22:09.520 --> 00:22:09.540
love that.

872
00:22:09.670 --> 00:22:09.709
Yes,

873
00:22:10.420 --> 00:22:11.859
I'm looking at the vice dean over there and

874
00:22:12.469 --> 00:22:13.890
sending her signals.

875
00:22:14.270 --> 00:22:16.089
I know that's really encouraging for me too

876
00:22:16.089 --> 00:22:17.540
because I know I'm on the downtown campus.

877
00:22:17.560 --> 00:22:18.560
I'm a journalism student,

878
00:22:18.750 --> 00:22:19.420
but um,

879
00:22:19.430 --> 00:22:20.430
I come down here all the time.

880
00:22:20.479 --> 00:22:21.780
I'm a part of an a cappella group.

881
00:22:21.849 --> 00:22:24.650
I'm trying to do music as a minor and Spanish as a minor,

882
00:22:24.660 --> 00:22:25.329
um.

883
00:22:25.459 --> 00:22:27.219
And so for me it's just really well you're doing it,

884
00:22:27.260 --> 00:22:27.540
so you're,

885
00:22:27.569 --> 00:22:28.339
you're getting it going.

886
00:22:28.459 --> 00:22:28.739
So,

887
00:22:29.060 --> 00:22:30.939
so that's what I'm talking about is exactly what you're doing.

888
00:22:31.060 --> 00:22:31.359
So

889
00:22:31.540 --> 00:22:32.329
you're doing journalism,

890
00:22:32.349 --> 00:22:33.420
you're on multiple campuses,

891
00:22:33.459 --> 00:22:35.489
so we've built these bus systems and light

892
00:22:35.489 --> 00:22:37.540
rail systems and shuttle that's what I mean.

893
00:22:37.739 --> 00:22:37.900
So no,

894
00:22:37.939 --> 00:22:39.500
but we did all of that and so most

895
00:22:39.500 --> 00:22:42.250
places would say in most universities have multiple campuses,

896
00:22:42.260 --> 00:22:43.660
you can't go between the campuses.

897
00:22:44.959 --> 00:22:47.310
Most universities have different leadership on every campus and

898
00:22:47.310 --> 00:22:48.910
then they fight and argue with each other.

899
00:22:49.300 --> 00:22:50.449
We don't how it's supposed to be.

900
00:22:50.589 --> 00:22:51.449
We don't have any of that.

901
00:22:52.089 --> 00:22:53.229
We have one university.

902
00:22:53.439 --> 00:22:54.109
Can I ask you a question?

903
00:22:54.119 --> 00:22:54.130
Uh,

904
00:22:55.630 --> 00:22:59.349
you do so many things like this is university is big.

905
00:23:00.430 --> 00:23:00.439
There,

906
00:23:00.449 --> 00:23:01.270
there are so many things.

907
00:23:01.349 --> 00:23:02.459
There's athletics.

908
00:23:02.790 --> 00:23:03.800
There are so many things.

909
00:23:04.619 --> 00:23:06.829
When and why do you find the time for Barrett?

910
00:23:07.849 --> 00:23:08.050
Well,

911
00:23:08.250 --> 00:23:09.449
time is um.

912
00:23:10.839 --> 00:23:13.260
So how long does it take to come up with a brilliant idea?

913
00:23:14.479 --> 00:23:15.819
A fraction of a second.

914
00:23:16.560 --> 00:23:19.560
So time is a unit that's often misunderstood,

915
00:23:19.680 --> 00:23:19.989
so,

916
00:23:20.359 --> 00:23:23.760
so people think that time is a function of a constraint.

917
00:23:24.630 --> 00:23:26.920
So time is merely a variable.

918
00:23:27.500 --> 00:23:28.640
It's merely a,

919
00:23:28.709 --> 00:23:28.939
a,

920
00:23:29.030 --> 00:23:29.209
an,

921
00:23:29.300 --> 00:23:31.310
an element of your existence.

922
00:23:31.859 --> 00:23:32.979
And so if you don't,

923
00:23:33.060 --> 00:23:35.750
if you master time and you understand time.

924
00:23:37.250 --> 00:23:38.650
And you understand what you're doing,

925
00:23:38.719 --> 00:23:40.369
it doesn't even enter your mind.

926
00:23:40.489 --> 00:23:40.920
So it's not,

927
00:23:40.930 --> 00:23:42.239
where do I find time?

928
00:23:42.369 --> 00:23:43.630
I don't have to find time.

929
00:23:44.329 --> 00:23:45.449
Time is not a variable.

930
00:23:46.290 --> 00:23:47.609
The variable is,

931
00:23:47.619 --> 00:23:48.660
where is your energy going,

932
00:23:48.739 --> 00:23:51.219
so more valuable than time is energy.

933
00:23:51.829 --> 00:23:52.489
And so,

934
00:23:52.709 --> 00:23:52.869
so,

935
00:23:52.979 --> 00:23:53.229
and then,

936
00:23:53.310 --> 00:23:55.550
and then there's the immeasurable and the intangible,

937
00:23:55.589 --> 00:23:56.849
which is creativity.

938
00:23:57.349 --> 00:23:58.910
Creativity has nothing to do with time.

939
00:24:01.180 --> 00:24:01.599
Nothing,

940
00:24:01.739 --> 00:24:01.800
no,

941
00:24:01.900 --> 00:24:01.979
no,

942
00:24:02.060 --> 00:24:04.250
the output of your creativity has to do with time.

943
00:24:04.619 --> 00:24:07.420
The creativity itself has nothing to do with time.

944
00:24:08.489 --> 00:24:10.660
Creativity can be instantaneous.

945
00:24:11.060 --> 00:24:11.380
In fact,

946
00:24:11.540 --> 00:24:12.739
most often is.

947
00:24:13.060 --> 00:24:16.239
Creativity is usually at its highest possible level

948
00:24:16.380 --> 00:24:19.500
at the exact moment where you're confronted with either opportunity,

949
00:24:19.699 --> 00:24:20.020
pressure,

950
00:24:20.339 --> 00:24:20.780
threat.

951
00:24:21.180 --> 00:24:25.660
So the fastest and most creative person is a person attempting to avoid a threat.

952
00:24:26.619 --> 00:24:29.329
Attempting to avoid some kind of circumstance,

953
00:24:30.030 --> 00:24:31.849
the most creative surgeon

954
00:24:32.069 --> 00:24:35.469
is a surgeon confronted with something they haven't seen before,

955
00:24:35.709 --> 00:24:37.510
and then in that instant of surgery,

956
00:24:37.589 --> 00:24:39.469
they devise a new suture technique.

957
00:24:39.750 --> 00:24:43.449
They devise a new way to approach a failed heart.

958
00:24:43.989 --> 00:24:47.449
A radiologist who's looking at some kind of imagery of cancer,

959
00:24:47.750 --> 00:24:48.099
if they're,

960
00:24:48.219 --> 00:24:48.390
you know,

961
00:24:48.510 --> 00:24:49.400
they're not a robot,

962
00:24:49.910 --> 00:24:50.060
if,

963
00:24:50.109 --> 00:24:51.770
if we just wanted to judge cancer

964
00:24:51.910 --> 00:24:52.579
with robots,

965
00:24:52.630 --> 00:24:53.280
we could do that,

966
00:24:53.510 --> 00:24:54.229
and we will.

967
00:24:54.589 --> 00:24:56.089
But at the top of the robots,

968
00:24:56.199 --> 00:24:58.900
the artificial intelligence systems that will be studying the images

969
00:24:59.119 --> 00:25:02.239
for cancer will be an intuitively driven.

970
00:25:03.829 --> 00:25:05.770
Hypothesis oriented,

971
00:25:06.390 --> 00:25:08.170
calculating risk taker

972
00:25:08.390 --> 00:25:09.229
called a human.

973
00:25:10.160 --> 00:25:12.069
That a computer can never be.

974
00:25:12.609 --> 00:25:14.369
So now imagine the radiologists of the

975
00:25:14.369 --> 00:25:17.589
future backed up by 25 supercomputer artificial

976
00:25:17.859 --> 00:25:20.410
intelligence systems who now is able to then

977
00:25:20.650 --> 00:25:22.989
look at a scan of a person's kidney

978
00:25:23.369 --> 00:25:26.050
and tell you instantly not only if they have cancer,

979
00:25:26.170 --> 00:25:26.969
where they have cancer,

980
00:25:27.130 --> 00:25:28.040
where it's moved,

981
00:25:28.250 --> 00:25:29.329
what kind of cancer it is,

982
00:25:29.449 --> 00:25:29.969
where it's going,

983
00:25:30.050 --> 00:25:31.550
and what it's likely to do.

984
00:25:32.989 --> 00:25:33.900
That is creativity.

985
00:25:34.010 --> 00:25:35.560
All of that occurs within an instant.

986
00:25:36.099 --> 00:25:37.660
Then that creativity becomes,

987
00:25:37.859 --> 00:25:39.079
becomes cumulative.

988
00:25:39.619 --> 00:25:40.010
So the

989
00:25:40.180 --> 00:25:42.640
the creative expression of one person then becomes the

990
00:25:42.900 --> 00:25:44.699
baseline condition for another person.

991
00:25:45.099 --> 00:25:46.260
So the function of learning,

992
00:25:46.420 --> 00:25:46.660
by the way,

993
00:25:46.780 --> 00:25:49.780
so to learn that I can learn that it's possible to think of,

994
00:25:49.939 --> 00:25:50.680
I'll give you an example,

995
00:25:50.689 --> 00:25:50.900
so.

996
00:25:51.359 --> 00:25:51.520
Uh,

997
00:25:51.569 --> 00:25:52.719
last week I was in Switzerland.

998
00:25:52.770 --> 00:25:55.719
For some reason I had access to this Star Trek show on Netflix

999
00:25:55.880 --> 00:25:58.550
that I don't have access to here called Star Trek Discovery.

1000
00:25:58.839 --> 00:26:00.800
Star Trek Discovery is the latest version,

1001
00:26:00.869 --> 00:26:03.319
2018 version of a whole new way of thinking about Star Trek.

1002
00:26:03.599 --> 00:26:05.589
So they had this theory that they're projecting,

1003
00:26:05.599 --> 00:26:07.589
which turns out to be scientifically possible,

1004
00:26:07.920 --> 00:26:10.500
which is that there are uh fungi

1005
00:26:10.920 --> 00:26:14.660
in the galaxy that are connected into a massive life form.

1006
00:26:15.239 --> 00:26:17.180
So what's the largest life form on Earth?

1007
00:26:19.540 --> 00:26:19.989
The great whale.

1008
00:26:20.599 --> 00:26:21.359
No,

1009
00:26:22.260 --> 00:26:23.020
fungi,

1010
00:26:23.739 --> 00:26:26.040
probably after that are aspen trees,

1011
00:26:26.310 --> 00:26:26.739
uh,

1012
00:26:26.780 --> 00:26:29.839
and so there are fungi that go for

1013
00:26:30.260 --> 00:26:31.800
thousands of square miles,

1014
00:26:32.099 --> 00:26:33.930
possibly cover the entire planet.

1015
00:26:34.239 --> 00:26:39.239
So the hypothesis in this science fiction idea created by a science fiction writer

1016
00:26:39.439 --> 00:26:40.800
manifested in a film,

1017
00:26:40.880 --> 00:26:41.280
a movie,

1018
00:26:41.359 --> 00:26:44.119
a multi-part miniseries called Star Trek Discovery,

1019
00:26:44.400 --> 00:26:44.719
was that,

1020
00:26:44.839 --> 00:26:44.920
well,

1021
00:26:45.030 --> 00:26:48.130
why don't we assume that there are fungi now in an ecosystem

1022
00:26:48.359 --> 00:26:49.719
not limited only to the Earth,

1023
00:26:49.800 --> 00:26:52.300
so you probably operate under the simplistic model

1024
00:26:52.439 --> 00:26:54.300
that the Earth is a closed ecosystem.

1025
00:26:54.760 --> 00:26:57.839
The probability that the Earth is a closed ecosystem is zero.

1026
00:26:58.420 --> 00:26:59.969
And so we don't know much about it yet.

1027
00:27:00.060 --> 00:27:02.020
So now I can imagine that like that.

1028
00:27:02.180 --> 00:27:05.489
The writer of that story can then take that fungi thing and now can say,

1029
00:27:05.739 --> 00:27:08.790
now imagine that this fungi exists across the galaxy,

1030
00:27:09.060 --> 00:27:12.760
and perhaps it's a mechanism for faster than speed of light transport.

1031
00:27:13.300 --> 00:27:14.819
That's a true example of creativity.

1032
00:27:15.060 --> 00:27:15.280
Yes,

1033
00:27:15.380 --> 00:27:15.619
now,

1034
00:27:15.699 --> 00:27:18.280
is faster than speed of light transport possible?

1035
00:27:19.119 --> 00:27:19.969
The answer is yes,

1036
00:27:20.050 --> 00:27:21.530
so you need to track these kinds of things.

1037
00:27:21.609 --> 00:27:21.910
So

1038
00:27:22.050 --> 00:27:25.250
physicists in Italy have been able to move light particles

1039
00:27:25.250 --> 00:27:27.770
faster than the speed of light on an experimental basis.

1040
00:27:27.849 --> 00:27:29.010
How's that possible?

1041
00:27:30.699 --> 00:27:30.810
No,

1042
00:27:30.900 --> 00:27:34.410
that's possible because they are not limited even by Einstein's theories.

1043
00:27:34.770 --> 00:27:35.930
So what is a theory?

1044
00:27:36.489 --> 00:27:39.709
So a theory is nothing but the latest explanation

1045
00:27:40.449 --> 00:27:41.729
for how something works.

1046
00:27:41.849 --> 00:27:43.300
It is the latest,

1047
00:27:43.609 --> 00:27:44.310
yet again,

1048
00:27:44.739 --> 00:27:47.329
incomplete explanation of how the world works.

1049
00:27:47.400 --> 00:27:48.449
You know how long it takes.

1050
00:27:49.050 --> 00:27:52.750
Einstein to come up with the theory of relativity according to his own biography

1051
00:27:54.400 --> 00:27:55.030
an hour.

1052
00:27:57.489 --> 00:27:57.939
And so again,

1053
00:27:58.020 --> 00:27:58.660
this whole notion,

1054
00:27:58.739 --> 00:28:00.140
so people get all distorted.

1055
00:28:00.180 --> 00:28:02.880
They think that work is a function of time.

1056
00:28:04.229 --> 00:28:04.540
Well yeah,

1057
00:28:04.589 --> 00:28:08.819
it amazes me because you do so many things and this university is

1058
00:28:08.819 --> 00:28:12.560
big and you're you're invested and involved in all aspects of it.

1059
00:28:12.989 --> 00:28:13.359
I'm like,

1060
00:28:13.520 --> 00:28:13.660
why,

1061
00:28:13.869 --> 00:28:14.699
where do you find time because

1062
00:28:17.160 --> 00:28:17.790
in itself it's varied,

1063
00:28:17.869 --> 00:28:18.430
it's myriad,

1064
00:28:18.489 --> 00:28:19.640
it does so many things

1065
00:28:20.459 --> 00:28:21.500
and I was just wondering.

1066
00:28:21.589 --> 00:28:21.750
Well,

1067
00:28:21.910 --> 00:28:24.170
so the other thing is that you don't have to know everything.

1068
00:28:24.589 --> 00:28:25.229
It's impossible,

1069
00:28:25.310 --> 00:28:26.319
so don't even try.

1070
00:28:26.790 --> 00:28:27.869
You can't control everything,

1071
00:28:27.959 --> 00:28:28.790
so don't try.

1072
00:28:29.229 --> 00:28:29.900
So what you have to do,

1073
00:28:29.949 --> 00:28:31.969
the smart person decides what they can control.

1074
00:28:32.989 --> 00:28:35.400
What they can influence and what they can affect the outcome of so.

1075
00:28:36.819 --> 00:28:37.339
Great interview.

1076
00:28:37.430 --> 00:28:37.739
Thank you.

1077
00:28:37.939 --> 00:28:38.530
Nice to see you.

1078
00:28:38.959 --> 00:28:38.969
Yes,

1079
00:28:39.140 --> 00:28:40.209
thank you for your participation.

1080
00:28:40.250 --> 00:28:42.939
If you have any more thoughts or you'd like to share any more information later on,

1081
00:28:43.219 --> 00:28:44.869
please contact Vice Dean Nicola Foot.

1082
00:28:45.140 --> 00:28:46.500
And if you have any questions about this

1083
00:28:46.500 --> 00:28:48.770
interview or the 30th anniversary Oral History Project,

1084
00:28:48.819 --> 00:28:50.010
you can contact the Vice Dean.

1085
00:28:50.209 --> 00:28:51.089
It was a pleasure meeting you.

1086
00:28:51.219 --> 00:28:51.329
OK,

1087
00:28:51.449 --> 00:28:51.890
nice to see you.

1088
00:28:51.949 --> 00:28:52.319
Thank you.

1089
00:28:52.790 --> 00:28:53.359
Thank you so much.

1090
00:28:54.339 --> 00:28:55.699
You just want to grab the NyQuil.

1091
00:28:56.260 --> 00:28:56.729
Nice to see you.

1092
00:28:56.939 --> 00:28:57.699
Nice to see you.

1093
00:28:57.969 --> 00:28:58.329
Nice to see you.

1094
00:28:59.939 --> 00:29:00.439
Thank you very

1095
00:29:00.540 --> 00:29:01.060
much.

1096
00:29:02.030 --> 00:29:02.040
OK,

1097
00:29:04.000 --> 00:29:04.060
did you guys find the sign

1098
00:29:05.310 --> 00:29:05.900
or am I supposed to be?

1099
00:29:06.030 --> 00:29:06.040
Well,

1100
00:29:06.099 --> 00:29:06.229
we can make some,

1101
00:29:06.239 --> 00:29:06.250
no,

1102
00:29:06.260 --> 00:29:06.300
don't worry.

1103
00:29:06.310 --> 00:29:06.479
I can we take a quick picture just

1104
00:29:10.790 --> 00:29:10.819
of yours.

1105
00:29:12.260 --> 00:29:14.579
Since everyone else that records me doesn't even ask for consent,

1106
00:29:14.699 --> 00:29:16.869
so you want to take the archive,

1107
00:29:16.979 --> 00:29:17.099
uh,

1108
00:29:17.219 --> 00:29:17.260
yeah,

1109
00:29:17.339 --> 00:29:17.920
I can take one.

1110
00:29:18.540 --> 00:29:19.170
And then Denise,

1111
00:29:19.219 --> 00:29:19.459
we can,

1112
00:29:19.540 --> 00:29:20.380
we should see what else we can do.

1113
00:29:20.540 --> 00:29:21.369
You want one just the interview.

1114
00:29:21.699 --> 00:29:21.709
No,

1115
00:29:21.859 --> 00:29:21.869
no,

1116
00:29:22.099 --> 00:29:23.459
you were also a part of the team.

1117
00:29:30.459 --> 00:29:30.760
OK,

1118
00:29:30.810 --> 00:29:31.290
look here.

1119
00:29:33.640 --> 00:29:34.150
All right.

1120
00:29:34.670 --> 00:29:34.680
Great.

1121
00:29:35.540 --> 00:29:35.550
All.

1122
00:29:35.680 --> 00:29:35.910
Thank you.

1123
00:29:36.030 --> 00:29:36.510
Thank you.

1124
00:29:36.780 --> 00:29:36.829
So,

1125
00:29:36.839 --> 00:29:37.000
you guys,

1126
00:29:37.109 --> 00:29:37.280
you guys,

1127
00:29:37.520 --> 00:29:38.520
here's an idea just put in your head.

1128
00:29:38.599 --> 00:29:38.719
So,

1129
00:29:38.760 --> 00:29:38.989
you know,

1130
00:29:39.040 --> 00:29:39.339
you have,

1131
00:29:39.359 --> 00:29:39.589
uh,

1132
00:29:39.680 --> 00:29:41.040
you have 1013,

1133
00:29:41.239 --> 00:29:42.479
that's low trillions

1134
00:29:42.760 --> 00:29:43.760
of cells in your body,

1135
00:29:43.849 --> 00:29:44.119
right?

1136
00:29:46.160 --> 00:29:47.530
Low trillions of individual cells,

1137
00:29:48.290 --> 00:29:49.719
you know that the cells in the human body

1138
00:29:49.719 --> 00:29:52.709
are two organisms that blended together in evolutionary event

1139
00:29:53.550 --> 00:29:54.479
billions of years ago.

1140
00:29:55.280 --> 00:29:56.770
So basically human cells

1141
00:29:57.359 --> 00:29:59.420
are two different organisms

1142
00:29:59.880 --> 00:30:01.670
that existed pre-existed

1143
00:30:02.119 --> 00:30:04.319
that then formed into the cells that now make up your.

1144
00:30:05.290 --> 00:30:06.949
But you have 1014,

1145
00:30:07.380 --> 00:30:10.619
that is more than you have individual cells in your body.

1146
00:30:11.060 --> 00:30:13.339
You have individual microorganisms in your body.

1147
00:30:14.719 --> 00:30:16.719
More than the number of cells in the body.

1148
00:30:19.829 --> 00:30:20.189
I don't know,

1149
00:30:20.270 --> 00:30:20.869
but what are you,

1150
00:30:20.989 --> 00:30:24.589
since there's more of you that isn't human than there is of you that is human.

1151
00:30:26.099 --> 00:30:26.500
So,

1152
00:30:26.750 --> 00:30:27.449
so you ought to even,

1153
00:30:27.550 --> 00:30:27.709
you know,

1154
00:30:27.869 --> 00:30:28.619
think through,

1155
00:30:28.829 --> 00:30:29.949
you ought to think through.

1156
00:30:30.079 --> 00:30:31.979
I've learned more in this half an hour.

1157
00:30:34.239 --> 00:30:34.630
OK.

1158
00:30:35.030 --> 00:30:35.219
All right,

1159
00:30:35.430 --> 00:30:35.800
nice to see you.

1160
00:30:35.810 --> 00:30:35.819
OK,

1161
00:30:37.609 --> 00:30:37.619
yeah,

1162
00:30:37.630 --> 00:30:37.869
nice to see you.

1163
00:30:38.790 --> 00:30:40.170
What do you think university presidents are?

1164
00:30:41.619 --> 00:30:42.739
Like paper pushers.

1165
00:30:44.479 --> 00:30:45.750
You're different than all of them.

1166
00:30:47.510 --> 00:30:48.319
Thank you.

1167
00:30:50.229 --> 00:30:50.390
Uh,

1168
00:30:50.670 --> 00:30:51.050
anybody else?

1169
00:30:52.209 --> 00:30:52.219
No.

1170
00:30:53.089 --> 00:30:53.310
What?

1171
00:30:54.540 --> 00:30:54.550
Any?

1172
00:30:55.689 --> 00:30:55.819
OK.

1173
00:30:55.930 --> 00:30:56.300
I walked.

1174
00:30:58.130 --> 00:30:58.250
Oh,

1175
00:30:59.900 --> 00:31:00.069
I,

1176
00:31:00.290 --> 00:31:00.890
I just.

1177
00:31:00.949 --> 00:31:01.550
I'll be right back.

1178
00:31:01.630 --> 00:31:02.219
Thank you so much.

1179
00:31:02.280 --> 00:31:02.390
OK.

1180
00:31:03.849 --> 00:31:04.099
Thank you guys.

1181
00:31:04.109 --> 00:31:04.130
Great job

1182
00:31:04.339 --> 00:31:04.349
guys.

1183
00:31:04.359 --> 00:31:04.380
That was

1184
00:31:07.900 --> 00:31:08.180
that was that was fabulous.

1185
00:31:10.660 --> 00:31:13.790
There were so many moments where you were collecting such

1186
00:31:16.180 --> 00:31:16.770
incredible material you guys did a great job.

1187
00:31:16.930 --> 00:31:17.959
That's some real,

1188
00:31:18.130 --> 00:31:18.520
yeah,

1189
00:31:18.609 --> 00:31:21.050
and you got through all the things you wanted to ask.

1190
00:31:21.170 --> 00:31:22.839
You asked some interesting follow-ups.

1191
00:31:22.849 --> 00:31:23.489
You did really,

1192
00:31:23.569 --> 00:31:24.170
really well.

1193
00:31:24.369 --> 00:31:24.439
Well,

1194
00:31:24.530 --> 00:31:24.579
thanks.

1195
00:31:24.709 --> 00:31:24.810
I was gonna say

1196
00:31:25.939 --> 00:31:26.989
you did do a really nice job.

1197
00:31:28.819 --> 00:31:29.250
Usually,

1198
00:31:29.369 --> 00:31:29.530
you know,

1199
00:31:29.630 --> 00:31:31.650
he's got to keep on his schedule and the fact that he

1200
00:31:31.650 --> 00:31:34.089
stayed with you guys beyond that means he was having fun.

1201
00:31:34.229 --> 00:31:34.239
So

1202
00:31:35.640 --> 00:31:35.989
thank you.