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Speaker 1: So welcome to an episode of Bleep with Anna Navarro

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Speaker 1: from California. And today I have a really special guest,

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Speaker 1: somebody I have known for so long I barely remember

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Speaker 1: how it was that we met. I am going to

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Speaker 1: sit down today and have a conversation with Javier be Serra,

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Speaker 1: who is running for governor of California. The voting the

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Speaker 1: primary is June second. Early voting is already happening, and

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Speaker 1: so let's sit down and get into it.

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Speaker 2: Olaaer and not good to see you. And I do

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Speaker 2: know how we met. Remind me, you came to chew

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Speaker 2: me out. You came to tell me how to do

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Speaker 2: my work when you were in Congress when I was

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Speaker 2: in Congress.

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Speaker 1: Yeah, okay, but that was. This is really it blows

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Speaker 1: my mind. We have known each other for something like

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Speaker 1: thirty two years. And one of the things that I

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Speaker 1: remember this stay is when you were a young congressman

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Speaker 1: on the Judiciary Committee during immigration markups and you would

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Speaker 1: take one of your baby girls to the Judiciary markups

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Speaker 1: and feed them the bottle during the markups. Because your wife, Carolina,

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Speaker 1: who's a Harvard obg yn you married up, Yes, she's brilliant,

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Speaker 1: had to work and you you didn't have money for

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Speaker 1: child care. You you had to bring the baby to

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Speaker 1: the office.

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Speaker 2: Well, we had money, but it was you didn't have

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Speaker 2: much money.

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Speaker 1: I remember you gave me a ride once.

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Speaker 2: In a Geloffell. We kept our cars long. But it

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Speaker 2: was easier to take care because the little one was little,

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Speaker 2: very little, and we didn't want her to have her

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Speaker 2: just the daycare. So sometimes I would manage to take

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Speaker 2: her because I daycare wasn't too far away, and so

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Speaker 2: sometimes it was easier for me to just have one

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Speaker 2: of the children with me.

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Speaker 1: But what did that teacher though? You know, I when

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Speaker 1: you were you were a working family and having to

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Speaker 1: do childcare. You have three daughters. Which one was the

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Speaker 1: one you were carrying in the here, yeah, the middle one,

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Speaker 1: the middle one. So she's thirty one.

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Speaker 2: Now she's thirty one.

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Speaker 1: Now wow, that's mind blowing, it is. And you are

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Speaker 1: there is a lot of female energy around you. You've

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Speaker 1: got You've got Carolina, three daughters and three daughters and

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Speaker 1: three sisters.

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Speaker 2: And as you know, most of my staff was female, right.

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Speaker 1: I remember we were talking about your original chief of staff, Krista.

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Speaker 1: What has that taught you?

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Speaker 2: Behave be humble? And be there. You know, It's it's

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Speaker 2: one of those things where you realize who the real

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Speaker 2: boss is and you realize who really has a folkrum,

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Speaker 2: who knows how to balance things. I think women are

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Speaker 2: very good at being steady. Men are more mer curial.

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Speaker 2: Women are always perceived as being more emotional. But I

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Speaker 2: think what it really is, it's it's a transparency. It's

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Speaker 2: the willingness to say who you are, that people see

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Speaker 2: who you are, which means that you have less to hide.

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Speaker 2: Men are far more closed.

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Speaker 1: Right, Javier, I watched and I'm calling you heavier because

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Speaker 1: you and.

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Speaker 2: I have done each other forever, but you've always called me.

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Speaker 1: I've always called you heavier. That part is true too.

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Speaker 1: But I watched two of the runoff two of the debates.

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Speaker 1: There were seven eight people on the stage. It's four

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Speaker 1: hours of my life. I'd like to get back. I

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Speaker 1: don't learn a goddamn thing watching those two debates because

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Speaker 1: it's thirty seconds with seven eight people on the stage

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Speaker 1: and people trying to you know, moderators trying to get

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Speaker 1: in there. I learned nothing. So I want us to

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Speaker 1: go into some of the issues that we talked about.

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Speaker 1: But before that, let's talk about Haavier, because it's a

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Speaker 1: pretty spectacular story. You are the child of poor immigrants

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Speaker 1: and somehow ended up at Stanford and then ended up

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Speaker 1: in Congress as Attorney General, as HHS secretary, and now

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Speaker 1: running to be the first Mexican American, the first Latino

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Speaker 1: governor of California. So let's start there. Tell me about

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Speaker 1: tell me about little Haavier.

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Speaker 2: So little Haavier has to start by talking about dad.

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Speaker 2: My father would tell me, Miko lay at travajare bassem buendia,

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Speaker 2: if I could get up in the morning to go

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Speaker 2: to work, it's going to be a good day. And

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Speaker 2: he meant it right because for him, not going to

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Speaker 2: work as a construction worker, as a labor meant you

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Speaker 2: may not have the money to pay for the food

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Speaker 2: or pay for the mortgage. And so you learned that.

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Speaker 1: And how old were your parents when they came here.

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Speaker 2: They were in My dad was in his twenties when

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Speaker 2: he married my mom, she was eighteen, and they came.

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Speaker 2: They came with twelve dollars in their pocket to start,

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Speaker 2: and they just built from there. A construction worker, clerical worker.

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Speaker 2: Never had a chance to go to college. My daddy

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Speaker 2: get past the sixth grade. He was the oldest of eight,

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Speaker 2: so he had to start working, and I always saw him working,

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Speaker 2: and it was it was a great childhood because I

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Speaker 2: never thought I was I was without And then when

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Speaker 2: I drove with my mom my first stay to start

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Speaker 2: Stanford University, because I didn't even know where Stanford was,

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Speaker 2: even after I'd gotten accepted. It wasn't until we drove

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Speaker 2: there from Sacramento to Palo Alto to go to Stanford

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Speaker 2: that I realized I wasn't middle class. I thought I

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Speaker 2: was middle class. Then I saw part and I saw

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Speaker 2: I'm not middle class.

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Speaker 1: How did even it even come up occur to you

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Speaker 1: to apply to Stanford? Because I mean, there's and I

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Speaker 1: asked this question because you know, I heard the story

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Speaker 1: also and read the story of Supreme Court Justice Katanji Brown,

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Speaker 1: and you know she also applied to an ivy league

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Speaker 1: being a little black girl from Miami and was told no,

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Speaker 1: you shouldn't even think that way. So there's so many

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Speaker 1: little Mexican boys, little black boys, poor white that are

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Speaker 1: told you can't you Stanford? What are you thinking about?

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Speaker 1: So how did it even happen?

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Speaker 2: It was by chance I had already applied to I

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Speaker 2: had applied to one school for college because my parents

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Speaker 2: couldn't you know, steer me well. But I had gone

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Speaker 2: to a program, a summer program where folks there it

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Speaker 2: was at UC Davis had said, you know, if you

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Speaker 2: just keep applying yourself, you could probably get into Davis.

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Speaker 2: So I applied to Davis. I was with a friend

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Speaker 2: who was about to throw some papers into the trash bin,

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Speaker 2: and I said, what are you doing? He said, well,

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Speaker 2: I was going to apply to this place, but I

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Speaker 2: think we had just finished getting our grades from an

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Speaker 2: exam and he had decided, I'm not going to apply anymore.

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Speaker 2: Why apply? Said, don't, don't do a way, give it

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Speaker 2: to me. And it was the application for Stanford University.

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Speaker 2: So I filled it out last moment, got it in,

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Speaker 2: you know, handwritten, widing out my mistakes, and sent it in.

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Speaker 2: I got in and I didn't know where Stanford was.

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Speaker 2: Lived two hours from Stanford, but never had visited, never

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Speaker 2: knew where it was until, as I.

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Speaker 1: Said, I scholarship.

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Speaker 2: I got some scholarship. I did work study, and I

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Speaker 2: took out loans.

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Speaker 1: How long did it take you to repay those loans?

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Speaker 2: You know, back in those days, it felt like a

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Speaker 2: lot of money, but today it's not even You didn't

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Speaker 2: even sneeze at that kind of money. It was so

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Speaker 2: little Stanford University. I think the tuition when I got

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Speaker 2: there was under seven thousand dollars. What is it today,

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Speaker 2: Probably over seventy thousand dollars.

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Speaker 1: So it's one of the things I suspect you want

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Speaker 1: to work on as governors, how to make higher education

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Speaker 1: more affordable and accessible.

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Speaker 2: Yeah, at least the first couple of years, so people

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Speaker 2: shouldn't have to go in debt just to go to college,

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Speaker 2: and give people the push, the oop to be able

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Speaker 2: to get in. So maybe have the first two years

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Speaker 2: of college tuition be free without costs, so people can

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Speaker 2: afford to go to places that they get accepted.

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Speaker 1: So I talked about us meeting knowing each other for

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Speaker 1: thirty two plus years now because when we first met,

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Speaker 1: I was a staunch Republican. I voted for supported campaign,

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Speaker 1: gave money to raise money for Republicans. You were a

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Speaker 1: staunch Democrat. We worked together on many issues, mostly immigration issues.

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Speaker 1: We had some pretty heated debates and disagreements. I remember

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Speaker 1: I was furious when you went to Cuba when you

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Speaker 1: became congressional Hispanic chair. I remember I was furious when

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Speaker 1: you didn't vote for Nakada because you thought not everybody

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Speaker 1: was included and it needed to include everyone. But the

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Speaker 1: reason I think that's important to bring up is because

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Speaker 1: throughout it all we have respected each other. I think

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Speaker 1: we have respected our commitment to our community and to

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Speaker 1: the causes and convictions and principles we care about. And

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Speaker 1: it was a time havier. It was a time when

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Speaker 1: people could disagree and still not hate each other, and

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Speaker 1: still not question each other's values or patriotism. So talk

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Speaker 1: to me about the evolution that's happened because you worked

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Speaker 1: in Congress with people who today you wouldn't be able

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Speaker 1: to do that.

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Speaker 2: Yeah, No, there were. I mean, as as hot as

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Speaker 2: our discussions our debates would get, we were always still

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Speaker 2: working together because I knew you could get votes that

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Speaker 2: I couldn't get, and you knew I could try to

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Speaker 2: get votes that you couldn't get, and we both had

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Speaker 2: a mission to get something done. And Nakata, which was

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Speaker 2: a bill to try to help certain populations that were

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Speaker 2: in the US but didn't have status. At the end

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Speaker 2: of the day, it was a good piece of legislation.

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Speaker 2: I didn't vote for it because I thought it could

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Speaker 2: have been better, and I wanted to push it to

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Speaker 2: be better, as you said, to include more populations. And

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Speaker 2: so we ended up going a place and that was

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Speaker 2: the important part. We could go to a place together.

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Speaker 2: It's very difficult today to see members in Congress going

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Speaker 2: to a place together.

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Speaker 1: Well, I was a young activist and lobbyist at the time.

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Speaker 1: I forgive you for for not having voted for it,

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Speaker 1: because the bill passed that place, and it's made a

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Speaker 1: huge difference in the lives of so many people. But

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Speaker 1: let's talk about immigration. Yeah, because we are it's now

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Speaker 1: twenty twenty six. Nakata, which passed in nineteen ninety six,

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Speaker 1: was probably the last major piece of immigration reform that

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Speaker 1: has passed Congress. We saw horrible raids here, probably ground zero.

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Speaker 1: It started. The weaponization of government against communities to punish

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Speaker 1: democrats started here in la and it was heartbreaking. I

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Speaker 1: never thought I would see those kind of scenes in

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Speaker 1: the streets of the United States. I've seen them in Venezuela.

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Speaker 1: I've seen them in Cuba. I've seen them. I never

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Speaker 1: thought I would see them here. Okay, Haber Bessera becomes governor.

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Speaker 1: Trump hates you as much as he hates newsome, what

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Speaker 1: do you do if that happens again? And how do

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Speaker 1: people fight back? What can you do is the question.

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Speaker 2: So you use the government, whether it is litigation or

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Speaker 2: whether it is new policy, or whether it is the

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Speaker 2: confrontation that you make happen with your people against a

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Speaker 2: force that can only be here so much. And so litigation,

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Speaker 2: as I did as Attorney general, you take them on

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Speaker 2: toe to toe, and where over one hundred and twenty

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Speaker 2: times we took them on toe to toe, most of

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Speaker 2: the time we beat them. You can do that, although litigation,

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Speaker 2: as you know, it takes a long time. You can

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Speaker 2: do the policy. We can say that law enforcement cannot

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Speaker 2: enter a school without a warrant writ large, so that

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Speaker 2: would include ICE. You can say law enforcement cannot enter

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Speaker 2: a hospital without a warrant writ large. You can do

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Speaker 2: things that put in place infrastructure that make it more

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Speaker 2: difficult for Trump's mercenary force, because it's not ICE. I

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Speaker 2: work with ICE. I've seen what true genuine law enforcement is.

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Speaker 2: What we see on the streets today. In Trump's ICE

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Speaker 2: is not a true law enforcement agency. It's Trump's personal

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Speaker 2: mercenary force. You have to put these pillars in place

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Speaker 2: that set the parameters to standards. That way, we're going

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Speaker 2: to go after them if they violate those laws, and

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Speaker 2: we can because you don't have a right to violate

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Speaker 2: the Constitution, and you don't have the right to violate

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Speaker 2: the state prerogatives when it comes to public safety, because

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Speaker 2: the Constitution didn't give the federal government control over public

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Speaker 2: safety in a state. That's left to the states.

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Speaker 1: So, as AG, you sued Trump I don't know one

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Speaker 1: hundred and twenty two times or something like that, that

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Speaker 1: was Trump once. As governor, can you make the decision

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Speaker 1: to sue Trump on behalf of the state or do

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Speaker 1: you work with the AG? How does that work?

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Speaker 2: You work with the AG. Certainly, if the governor is

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Speaker 2: saying to the AG, we need to file lawsuit, chances

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Speaker 2: are the AG is going to file a lawsuit. Ultimately,

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Speaker 2: the AG is the one that files lawsuit. I could

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Speaker 2: take extraordinary action and say if the AAG doesn't move,

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Speaker 2: I will hire attorneys to take action on behalf of

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Speaker 2: the state. But I would I have a good relationship

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Speaker 2: with our Attorney General, and I think he's doing what

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Speaker 2: he has to do as AG. So far, he's filed

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Speaker 2: my understanding is over fifty or sixty.

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Speaker 1: Lawsuits in some of those debates, the primary debates that

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Speaker 1: I watched, people were taking you on like a pignana.

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Speaker 1: They were trying to hit you from every which direction.

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Speaker 1: Some of it coming I would call it almost friendly fire,

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Speaker 1: coming from Antonio Villa Ragosa, who was former mayor of

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Speaker 1: LA And one of the accusations made against you, and

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Speaker 1: I want to give you time to talk about it,

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Speaker 1: because I don't think it's something you can explain in

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Speaker 1: thirty seconds, is what happened when you were Secretary of

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Speaker 1: Health and Human Services with the migrant children. Antonio claims

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Speaker 1: eighty five thousand children disappeared under your watch. So let's

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Speaker 1: go through it.

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Speaker 2: Yeah, that claim is a claim started by Donald Trump.

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Speaker 2: If you recall, in the twenty four campaign against Vice

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Speaker 2: President Harris, Donald Trump claimed that the Biden administration had

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Speaker 2: lost eighty five thousand kids. As the campaign grew, the

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Speaker 2: number grew, and by the time he was finishing the campaign,

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Speaker 2: it had grown to three hundred and twenty five thousand

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Speaker 2: kids who were missing. In either case, it was a lie.

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Speaker 2: They were MAGA talking points. And it's unfortunate that now

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Speaker 2: we see even democratic candidates using Trump lies to try

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Speaker 2: to attack one of the other candidates. What happened here,

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Speaker 2: and Anayla, you'll get this because you and I have

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Speaker 2: worked on immigration policy, the practices for more than three decades.

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Speaker 2: Is immigration is a broken system. We tried to now God,

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Speaker 2: I was an effort to try to fix a broken system.

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Speaker 2: And when you have a broken system, things happened. When

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Speaker 2: I came in as Secretary of HHS. You will remember,

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Speaker 2: the Trump folks had been putting kids in cages. They

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Speaker 2: had been separating children from their parents immigrant families, and

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Speaker 2: when we came in, that's what we inherited, this wreckage.

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Speaker 2: They had dismantled the system of care for migrant children,

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Speaker 2: who were a company who didn't have an adult supervisor.

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Speaker 2: By law, the Department Homeland Security can only keep those

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Speaker 2: kids for seventy two hours because you don't put a

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Speaker 2: child in an adult detention center. So they would come

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Speaker 2: to us, and unfortunately, because the Trump administration had dismantled

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Speaker 2: most of the architecture, because it has to be licensed

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Speaker 2: care for these kids, we had to stand that up.

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Speaker 2: And when you have a lot of kids coming and

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Speaker 2: you don't have the facilities in the middle of COVID,

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Speaker 2: which meant you had to distance the kids, so you

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Speaker 2: had to put fewer kids in every facility. It became

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Speaker 2: a real challenge to try to accommodate the kids. We did.

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Speaker 2: We did face challenges, but we took care of them.

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Speaker 2: Now the talk became kids got exploited, and they did,

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Speaker 2: but not while they were in my care. They got

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Speaker 2: exploited after they were in the community, in the care

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Speaker 2: of a sponsor, because some of these kids started working,

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Speaker 2: and it was the employers, the roofers, the roofing companies,

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Speaker 2: the chicken processing plants that were taking advantage. Those employers

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Speaker 2: are ones that exploited the kids, not AHHS, But everything

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Speaker 2: got conflated as AHHS exploited these kidshhs.

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Speaker 1: The talking point of the eighty five thousand missing kids is,

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Speaker 1: as I understood it from reading the piece that people

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Speaker 1: should go look into the New York Times writer who

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Speaker 1: was the first one who brought this to light back then,

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Speaker 1: is that HHS would make follow up calls after the

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Speaker 1: kids had been released to family, to sponsors, and some

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Speaker 1: of those people eighty five thousand, I guess, didn't answer

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Speaker 1: the calls. So these kids were not missing, correct, It's

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Speaker 1: just that their sponsors did not answer the calls. Am

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Speaker 1: I saying that correctly?

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Speaker 2: Yes? And remember, once that child was in the care

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Speaker 2: of a sponsor, I lost jurisdiction. AHHS no longer had

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Speaker 2: jurisdiction over that child. We could not tell that child

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Speaker 2: call us come back. We could not dictate to that

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Speaker 2: child or the sponsor, and so we would make an

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Speaker 2: effort just to do follow up to make sure that

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Speaker 2: kids were okay. We make an effort to have three

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Speaker 2: calls to each child and three calls to each sponsor,

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Speaker 2: so that we would at least have some sense of

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Speaker 2: the transition. But those children and these sponsors were under

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Speaker 2: no obligation to respect.

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Speaker 1: I think this is very relevant because you know, one

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Speaker 1: of the things that you bring to your to the

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Speaker 1: table is your experience. And not in Congress, but certainly

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Speaker 1: as a g and as Secretary of HHS, you were

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Speaker 1: handling huge agencies, not as large as the state of California,

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Speaker 1: which is the fourth largest economy in the world. But

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Speaker 1: that management experience is what you bring. There were mistakes

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Speaker 1: made and you learn from them. There were reforms that

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Speaker 1: were introduced, and so I guess the question is that

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Speaker 1: I want to ask you is what lesson did you

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Speaker 1: learn as a manager as a leader, not going into

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Speaker 1: the wiz, but what did you learn as a manager

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Speaker 1: that you can then apply if you become governor of California.

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Speaker 2: Telegraph better what we were doing. We were under no

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Speaker 2: obligation to make a call to that child or that sponsor.

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Speaker 2: We voluntarily took that upon ourselves to try to help

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Speaker 2: make sure the transition went well. We didn't telegraph what

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Speaker 2: we were trying to do to help these children, and

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Speaker 2: that became distorted into lost children. We didn't explain to

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Speaker 2: the country well what the process was when a child

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Speaker 2: crosses the border without an adult, and how DHS Homeland

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Speaker 2: Security cannot hold them and they must come to AGHS.

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Speaker 2: We didn't explain that the previous administration had closed, had

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Speaker 2: dismantled the infrastructure to care for these kids and license

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Speaker 2: care facilities, and that we had to stand all that

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Speaker 2: up at the La County Fairgrounds. We had to open

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Speaker 2: a site at the La County Fairgrounds to be able

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Speaker 2: to accommodate these kids because there were so many kids.

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Speaker 2: We had opened up the San Diego Convention Center because

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Speaker 2: we needed to have a place to Lacy's kids. Because

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Speaker 2: the licensed care facilities that would otherwise have taken care

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Speaker 2: of them had been broken apart by the previous administration.

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Speaker 1: Now, I've also seen some anonymous quotes of Biden officials,

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Speaker 1: former Biden officials taking shots at you. I've seen people

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Speaker 1: put their name behind people like Ron Klein, the former

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Speaker 1: chief of staff of Joe Biden near a Tandem, one

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Speaker 1: of the former senior advisors to Joe Biden, put their

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Speaker 1: names behind defending you. But what is all of that?

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Speaker 1: Those anonymous attacks? What's And again I bring it up

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Speaker 1: because of what it means about your experience and your

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Speaker 1: management skills.

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Speaker 2: Yeah, that's so. It's it's hard to box against anonymous

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Speaker 2: Who's who you? Who you going after someone is attacking you.

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Speaker 2: In the law in this country, you're you're entitled to

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Speaker 2: face your your accuser. Well, it's hard to f face

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Speaker 2: your accuser if the only accuser is named anonymou. I

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Speaker 2: have no idea who these folks are. The Only people

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Speaker 2: who've spoken up against me are people that I either

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Speaker 2: can't identify or never work with me, And so I'm

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Speaker 2: not sure how they can speak to the work that

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Speaker 2: I did. The people who did work with me, who

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Speaker 2: did oversee my work. The Chief of Staff Ron Klain,

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Speaker 2: the head of the Domestic Policy Council, which you know

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Speaker 2: is the White House arm that oversees all the domestic departments,

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Speaker 2: including AHHS. They spoke up near a tand and called

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Speaker 2: it BS what she was hearing people, these anonymous sources say,

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Speaker 2: and so you know, par for.

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Speaker 1: The course, were you a good fit for HHS secretary?

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Speaker 1: Because I remember reading at the time that you wanted

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Speaker 1: to be Attorney general. And you know what, I wish

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Speaker 1: you had been attorney general because I think Merrik Garland

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Speaker 1: was a terrible attorney general. Maybe you don't agree, but

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Speaker 1: I remember hearing and reading did you want to be

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Speaker 1: Attorney General?

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Speaker 2: I said to them, don't worry about coming to me

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Speaker 2: about any kind of positions unless it's something like AG.

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Speaker 1: And so when you were offered HIHS, you didn't have

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Speaker 1: a medical degree. I mean, you've been married to a

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Speaker 1: doctor for But what do you think you were a

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Speaker 1: good fit?

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Speaker 2: Ultimately I do, and we were chatting about this earlier.

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Speaker 2: You don't need to be a doctor to run the

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Speaker 2: Department of Health and Human Services. What you have to

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Speaker 2: do is be a good manager, because remember Department of

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Speaker 2: Health and Human Services has a budget bigger than the

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Speaker 2: Department of Defense. Actually, the Department of Health and Human

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Speaker 2: Services has a budget larger than the Department of Defense

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Speaker 2: and the budget of the State of California combined. It

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Speaker 2: is the largest public agency in the US. In fact,

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Speaker 2: it is one of the largest. It is the largest

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Speaker 2: public health enterprise in the world. And it's a massive budget.

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Speaker 2: And you don't doctors don't necessarily make good accountants. You

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Speaker 2: don't need to be a doctor to negotiate lower drug prices.

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Speaker 2: And I was, for the first time given the authority

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Speaker 2: to negotiate lower drug prices against the largest pharmaceutical companies

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Speaker 2: in the world. No one says that going to medical

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Speaker 2: school makes you a great negotiator. And so all those

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Speaker 2: skills that I learned that I really picked up in

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Speaker 2: Congress as Attorney General having to duke it out, all

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Speaker 2: those came into play as the Secretary of Health and

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Speaker 2: Human Services.

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Speaker 1: There's so much that has been decimated in that department.

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Speaker 1: I remember, you were one of the original co sponsors

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Speaker 1: and one of the loudest advocates at the time for Obamacare. Yes,

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Speaker 1: it's been massacred, it's been butchered to death, and it

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Speaker 1: means that a lot of Americans, including a lot of Californians,

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Speaker 1: can't afford health care. Is there something that you can

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Speaker 1: do as governor?

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Speaker 2: Well, I've already said I will be California's healthcare governor

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Speaker 2: because it is not a time to go backwards when

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Speaker 2: it comes to healthcare. As you know, as most people

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Speaker 2: can discern, if you deny someone insurance health insurance, that

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Speaker 2: doesn't stopped them from getting health care. If your child

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Speaker 2: is ailing, you may hold back on going to the

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Speaker 2: doctor or the hospital, hoping that your child gets better.

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Speaker 2: You may try an over the counter remedy. But if

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Speaker 2: your child is ailing, you're going to go to the hospital.

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Speaker 2: The difficulty is when you're uninsured and you finally decide

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Speaker 2: to go to the hospital, you've waited so long, the

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Speaker 2: condition is probably so grave that now you're using the

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Speaker 2: emergency room, the most expensive place to do health care,

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Speaker 2: and you're not going to be able to afford the cost,

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Speaker 2: and so TAXPs will pay.

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Speaker 1: Did your parents have health insurance when you were growing up?

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Speaker 2: They ultimately did because my dad, as a construction worker,

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Speaker 2: was a member of a union, and the union offered

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Speaker 2: health insurance to its members. So I was fortunate. My

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Speaker 2: dad never got educated, but he worked for a union

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Speaker 2: in road construction, and the union provided health benefits.

437
00:23:49,520 --> 00:23:51,440
Speaker 1: So let's talk about one of the other issues that's

438
00:23:51,480 --> 00:23:55,240
Speaker 1: really on people's minds here in California, and it's homelessness.

439
00:23:56,400 --> 00:24:01,320
Speaker 1: The statistics of homelessness in the state are astounding. How

440
00:24:01,320 --> 00:24:04,160
Speaker 1: do you even begin to tackle this in a way

441
00:24:04,200 --> 00:24:07,320
Speaker 1: that's effective and that really has long term effects. Is

442
00:24:07,480 --> 00:24:09,800
Speaker 1: I just feel that there's all of these short term

443
00:24:10,119 --> 00:24:13,040
Speaker 1: solutions of getting people off the streets, and then they're

444
00:24:13,080 --> 00:24:13,840
Speaker 1: back in the streets.

445
00:24:14,520 --> 00:24:19,840
Speaker 2: Well, and that's because the homelessness crisis is actually also

446
00:24:20,240 --> 00:24:24,160
Speaker 2: a mental health crisis. It includes drug addiction as well.

447
00:24:24,200 --> 00:24:27,080
Speaker 2: But when you talk about pulling people off the street,

448
00:24:27,359 --> 00:24:29,879
Speaker 2: if you're only doing shelter but you're not doing the

449
00:24:30,320 --> 00:24:33,960
Speaker 2: health assistance they need mental health assistance, guess what, at

450
00:24:34,000 --> 00:24:36,320
Speaker 2: some point they're going to break down again and probably

451
00:24:36,400 --> 00:24:38,320
Speaker 2: end up on the street. So you have to treat

452
00:24:38,320 --> 00:24:42,200
Speaker 2: this as not just a sheltering crisis, but a mental

453
00:24:42,240 --> 00:24:45,520
Speaker 2: health crisis. And I can say that having served as

454
00:24:45,680 --> 00:24:49,040
Speaker 2: HHS secretary, where we expanded access to healthcare the nine

455
00:24:49,080 --> 00:24:51,199
Speaker 2: to eight eight program, which I hope you've heard of.

456
00:24:51,880 --> 00:24:54,240
Speaker 2: It's like nine to one one which everyone is aware of,

457
00:24:54,800 --> 00:24:59,639
Speaker 2: but for mental health or suicide prevention, and that lifeline

458
00:24:59,680 --> 00:25:02,639
Speaker 2: has tremendously well. So we just have to expand that

459
00:25:02,720 --> 00:25:05,400
Speaker 2: so people know there's a place to go. So it's

460
00:25:05,440 --> 00:25:08,959
Speaker 2: mental health along with sheltering. But I will tell you

461
00:25:09,000 --> 00:25:14,199
Speaker 2: for me, the most important aspect of homelessness is accountability.

462
00:25:14,280 --> 00:25:18,199
Speaker 2: We are forking over tens of billions of dollars and

463
00:25:18,240 --> 00:25:20,960
Speaker 2: we're not seeing the results. And so here's what I say.

464
00:25:21,600 --> 00:25:23,560
Speaker 2: You got to show me an outcome you want. You

465
00:25:23,640 --> 00:25:26,320
Speaker 2: want the state taxpayer money, and this is to the

466
00:25:26,359 --> 00:25:28,679
Speaker 2: cities and the counties because the state doesn't deal with

467
00:25:28,720 --> 00:25:32,639
Speaker 2: homelessness directly. That's the mayors and the county supervisors. You

468
00:25:32,680 --> 00:25:35,520
Speaker 2: want this money from the state taxpayers. You got to

469
00:25:35,560 --> 00:25:37,240
Speaker 2: show me an outcome. You got to show me that

470
00:25:37,280 --> 00:25:38,760
Speaker 2: people are moving off the streets.

471
00:25:39,040 --> 00:25:41,160
Speaker 1: If you can't show and you say you were talking

472
00:25:41,160 --> 00:25:43,040
Speaker 1: about when you say you got to show me an outcome,

473
00:25:43,040 --> 00:25:44,960
Speaker 1: we're talking about what city government's agencies.

474
00:25:45,040 --> 00:25:47,440
Speaker 2: State agencies, Yes, the city and not the state agencies.

475
00:25:47,440 --> 00:25:51,320
Speaker 2: Because the state agencies don't control the cities control their streets.

476
00:25:51,600 --> 00:25:54,480
Speaker 2: The counties control the unincorporated streets, and so we have

477
00:25:54,560 --> 00:25:56,800
Speaker 2: to see the counties and cities that get the money

478
00:25:57,160 --> 00:26:00,719
Speaker 2: and then they hire whether it is organizations, whether they

479
00:26:00,760 --> 00:26:03,439
Speaker 2: hire agencies to do it, but they're the ones that

480
00:26:03,480 --> 00:26:05,800
Speaker 2: then to spend some money. We have to see outcomes.

481
00:26:05,920 --> 00:26:07,320
Speaker 2: The way I look at it is, if you're not

482
00:26:07,359 --> 00:26:11,439
Speaker 2: producing results, then we close your door. If you're producing results,

483
00:26:11,560 --> 00:26:14,320
Speaker 2: then we scale your program. We scale up your program.

484
00:26:14,560 --> 00:26:18,040
Speaker 2: We have to go where there's progress, and that's the

485
00:26:18,040 --> 00:26:20,600
Speaker 2: most important thing with the billions that we're giving. We

486
00:26:20,680 --> 00:26:22,800
Speaker 2: have to see outcomes. We have to see accountability.

487
00:26:23,200 --> 00:26:24,960
Speaker 1: You know, a lot of a lot of Californias seem

488
00:26:25,000 --> 00:26:27,760
Speaker 1: to be moving to Miami to Florida. I think a

489
00:26:27,800 --> 00:26:33,000
Speaker 1: lot of them fleeing taxes. But a lot of these

490
00:26:33,000 --> 00:26:36,600
Speaker 1: folks tell me we're paying exorbitant taxes in California and

491
00:26:36,600 --> 00:26:40,439
Speaker 1: we just don't see the lifestyle that you know, we

492
00:26:40,480 --> 00:26:43,480
Speaker 1: wish we had for what we are paying. One of

493
00:26:43,480 --> 00:26:46,040
Speaker 1: the other issues you've talked a lot about is housing,

494
00:26:46,400 --> 00:26:48,359
Speaker 1: and you have said that if you become governor, on

495
00:26:48,440 --> 00:26:52,600
Speaker 1: day one, you are going to declare a housing emergency.

496
00:26:51,920 --> 00:26:54,320
Speaker 2: A housing the crisis.

497
00:26:54,400 --> 00:26:58,280
Speaker 1: Yes, what exactly does that mean and what exactly can

498
00:26:58,320 --> 00:27:01,240
Speaker 1: you do by declaring US emergency on housing?

499
00:27:01,440 --> 00:27:03,720
Speaker 2: Yeah? And see this is where again it helps to

500
00:27:03,720 --> 00:27:07,280
Speaker 2: have the experience having declared a state of emergency. I'm

501
00:27:07,320 --> 00:27:09,280
Speaker 2: the only candidate who can say to you, I know

502
00:27:09,320 --> 00:27:11,080
Speaker 2: what it means when you declare a state of emergency.

503
00:27:11,160 --> 00:27:12,520
Speaker 1: Did you declare a state of emergency?

504
00:27:12,960 --> 00:27:17,520
Speaker 2: COVID monkey box, Avian flu So as HHS secretary, as

505
00:27:17,640 --> 00:27:22,120
Speaker 2: HHS secretary. Yeah, And with that comes certain authorities and powers,

506
00:27:22,680 --> 00:27:26,040
Speaker 2: not as many as people think, but you're able to

507
00:27:26,119 --> 00:27:29,840
Speaker 2: loosen the grip of bureaucracy when you declare an emergency

508
00:27:29,840 --> 00:27:31,800
Speaker 2: because you have that quickly. Right when you're breaking the

509
00:27:31,840 --> 00:27:34,800
Speaker 2: glass to get out the fire hose er to get

510
00:27:34,800 --> 00:27:38,760
Speaker 2: out the hydrant or whatever you're going to do, you're saying,

511
00:27:38,800 --> 00:27:41,960
Speaker 2: I have to act immediately. And so declaring a state

512
00:27:41,960 --> 00:27:45,080
Speaker 2: of emergency lets you use your powers in ways that

513
00:27:45,160 --> 00:27:48,080
Speaker 2: give you the flexibility to be nimble. And so one

514
00:27:48,080 --> 00:27:50,360
Speaker 2: of the things that I would do is I would concentrate.

515
00:27:50,440 --> 00:27:55,320
Speaker 2: There are some forty thousand affordable housing units that are

516
00:27:55,359 --> 00:27:58,320
Speaker 2: ready to go, They've gone through all the permitting, they

517
00:27:58,359 --> 00:28:01,719
Speaker 2: just lack enough money shovel and ground, and so what

518
00:28:01,800 --> 00:28:04,679
Speaker 2: I would do is in that during that period of

519
00:28:04,680 --> 00:28:07,359
Speaker 2: state of emergency, I'm going to find the money. Will

520
00:28:07,400 --> 00:28:09,439
Speaker 2: I've already started to socialize this with some of the

521
00:28:09,520 --> 00:28:12,040
Speaker 2: legislators and said, I'm going to I'm going to try

522
00:28:12,080 --> 00:28:14,400
Speaker 2: to move these as quickly as I can, and so

523
00:28:14,680 --> 00:28:15,320
Speaker 2: help me find the.

524
00:28:15,640 --> 00:28:18,120
Speaker 1: You will bring the legislature in for a special session

525
00:28:18,880 --> 00:28:21,359
Speaker 1: in order to get the budget. If that's for these projects.

526
00:28:21,680 --> 00:28:24,480
Speaker 2: Hopefully wouldn't take a special session. Hopefully they'd see that

527
00:28:24,520 --> 00:28:28,200
Speaker 2: there's value in getting these projects going, because more than

528
00:28:28,440 --> 00:28:32,879
Speaker 2: anything else, this housing crisis is a crisis of confidence

529
00:28:33,240 --> 00:28:35,800
Speaker 2: that they don't believe that we're going to build enough.

530
00:28:36,560 --> 00:28:38,560
Speaker 2: And I got to win the confidence of the people.

531
00:28:38,640 --> 00:28:41,440
Speaker 1: I feel like this just like low morale in California,

532
00:28:41,480 --> 00:28:43,560
Speaker 1: and as you just called it, a crisis of confidence,

533
00:28:43,560 --> 00:28:46,120
Speaker 1: and I think you just you hit it right. So

534
00:28:46,480 --> 00:28:49,480
Speaker 1: part of what you need for that is a somebody

535
00:28:49,480 --> 00:28:52,520
Speaker 1: that will give you confidence, that's a cheerleader, that will

536
00:28:52,520 --> 00:28:54,720
Speaker 1: make you feel good, that will give you good vibes.

537
00:28:55,680 --> 00:28:56,800
Speaker 1: Are you the guy to do that?

538
00:28:57,120 --> 00:28:59,240
Speaker 2: Yeah? And I'll go back to the thirty years when

539
00:28:59,280 --> 00:29:02,880
Speaker 2: not God, I was up. I didn't I wanted more,

540
00:29:03,520 --> 00:29:07,080
Speaker 2: but we got something right and that's difficulty sometimes people

541
00:29:07,480 --> 00:29:11,560
Speaker 2: when you're too ideological left right, you just want what

542
00:29:11,880 --> 00:29:14,240
Speaker 2: you think is the perfect. You're not willing to take

543
00:29:14,240 --> 00:29:17,560
Speaker 2: the good and you the perfect, because the enemy the

544
00:29:17,600 --> 00:29:21,080
Speaker 2: good move. And I think what people want to see

545
00:29:21,160 --> 00:29:23,400
Speaker 2: is someone who's gonna move. I'm gonna move. I may

546
00:29:23,440 --> 00:29:25,640
Speaker 2: fall on my face, but at least I tried to move.

547
00:29:25,680 --> 00:29:29,320
Speaker 1: You've never listen you. You have never been a dogmatic ideologue.

548
00:29:29,440 --> 00:29:33,200
Speaker 1: You are a pragmatic problem solver. And I have butted

549
00:29:33,200 --> 00:29:36,120
Speaker 1: heads with you, yes, but a lot of times we

550
00:29:36,200 --> 00:29:39,600
Speaker 1: ended up compromising. And I and I feel that that

551
00:29:39,840 --> 00:29:43,240
Speaker 1: art of the compromise, the art of the compromise, is

552
00:29:43,280 --> 00:29:45,200
Speaker 1: something that has been lost and that we need to

553
00:29:45,200 --> 00:29:49,239
Speaker 1: get back for local government, state government, federal government, you know,

554
00:29:49,320 --> 00:29:52,960
Speaker 1: in all, in all aspects of government. Let's talk about

555
00:29:53,080 --> 00:29:56,040
Speaker 1: the economy here, how do you get it? So I'm

556
00:29:56,040 --> 00:29:58,000
Speaker 1: gonna you know, we're in La filming this right now,

557
00:29:58,040 --> 00:30:03,760
Speaker 1: taping this. So many restaurants have closed here, from Michelin

558
00:30:03,880 --> 00:30:07,320
Speaker 1: Star to food trucks. The immigration raids have had a

559
00:30:07,440 --> 00:30:12,960
Speaker 1: devastating impact on the local economy, not just because workers

560
00:30:13,000 --> 00:30:16,719
Speaker 1: aren't showing up, workers have been deported. When I saw

561
00:30:16,960 --> 00:30:22,080
Speaker 1: the raids against the farms last year. You know what

562
00:30:22,120 --> 00:30:25,600
Speaker 1: that's done to agriculture in California. But then you also

563
00:30:25,680 --> 00:30:29,000
Speaker 1: have other industries like the movie industry, which is so

564
00:30:29,240 --> 00:30:33,320
Speaker 1: symbolic and iconic of California, the state, right the big

565
00:30:33,360 --> 00:30:38,360
Speaker 1: Hollywood sign that's recognized around the world, and productions are

566
00:30:38,440 --> 00:30:41,200
Speaker 1: leaving to other states and other countries. It's cheaper to

567
00:30:41,320 --> 00:30:45,640
Speaker 1: film game shows, to fly everybody to Scotland than it

568
00:30:45,680 --> 00:30:50,280
Speaker 1: is to film it in Hollywood. So what can a

569
00:30:50,320 --> 00:30:55,960
Speaker 1: governor do to provide economic incentives to improve the overall

570
00:30:56,040 --> 00:30:59,240
Speaker 1: economic environment in the state.

571
00:30:59,520 --> 00:31:05,480
Speaker 2: So you use the operative word iconic. If we allow

572
00:31:05,600 --> 00:31:10,880
Speaker 2: Hollywood to leave and go to Sydney, Toronto, Prague where

573
00:31:10,960 --> 00:31:14,040
Speaker 2: so much of the production is gone, or Atlanta, if

574
00:31:14,040 --> 00:31:17,120
Speaker 2: we allow that to happen, shame on us that it's

575
00:31:17,160 --> 00:31:19,000
Speaker 2: not going to be Hollywood. It's going to be Sydney

576
00:31:19,000 --> 00:31:22,360
Speaker 2: Wood or Toronto Wood or prog Wood. No, no, no.

577
00:31:22,760 --> 00:31:25,560
Speaker 2: We have to fight for Hollywood to remain in Hollywood,

578
00:31:25,840 --> 00:31:28,280
Speaker 2: and I'm prepared to do everything we can to make

579
00:31:28,320 --> 00:31:31,160
Speaker 2: that happen. I was the first in Congress to push

580
00:31:31,240 --> 00:31:34,680
Speaker 2: for a production tax credit for the industry back in

581
00:31:34,720 --> 00:31:39,120
Speaker 2: the early two thousands. It finally became in the two thousands.

582
00:31:39,280 --> 00:31:41,600
Speaker 2: But what we essentially said is we're going to fight

583
00:31:41,680 --> 00:31:45,240
Speaker 2: fire with fire. If some country wants to take our production,

584
00:31:45,800 --> 00:31:47,600
Speaker 2: they're going to have to do it with some other tools,

585
00:31:47,600 --> 00:31:49,200
Speaker 2: because we're going to If you pull out a knife,

586
00:31:49,240 --> 00:31:50,680
Speaker 2: we'll put on a knife. Pull out a knife, you

587
00:31:50,720 --> 00:31:52,160
Speaker 2: pull out a gun, We're going to pull out a gun.

588
00:31:52,320 --> 00:31:54,760
Speaker 2: And that's what we have to do. Otherwise we lose

589
00:31:54,800 --> 00:31:59,200
Speaker 2: not just Hollywood, the industry and the production, we lose

590
00:31:59,280 --> 00:32:02,560
Speaker 2: everything that it's stands for. People come to southern California

591
00:32:02,880 --> 00:32:05,440
Speaker 2: just so they can take a photograph with the Hollywood side.

592
00:32:05,480 --> 00:32:07,120
Speaker 1: And it's not just listen, it's not just the high

593
00:32:07,160 --> 00:32:10,120
Speaker 1: paid actors or high paid directors or producers. It's the

594
00:32:10,160 --> 00:32:16,960
Speaker 1: catering companies, it's build session workers, it's the unions, it's

595
00:32:17,000 --> 00:32:18,960
Speaker 1: the writers, it's you know a lot of people who

596
00:32:19,200 --> 00:32:23,920
Speaker 1: who the ripcheck to pay check. So but but so,

597
00:32:23,960 --> 00:32:25,520
Speaker 1: when you say you're going to do everything you can,

598
00:32:25,960 --> 00:32:32,800
Speaker 1: does that mean subsidies, incentives, tax breaks, what being a cheerleader,

599
00:32:32,920 --> 00:32:34,880
Speaker 1: what all of the above.

600
00:32:35,120 --> 00:32:38,360
Speaker 2: The way I've described it is I will go everywhere

601
00:32:38,400 --> 00:32:40,920
Speaker 2: so long as I am getting more more than a

602
00:32:41,000 --> 00:32:43,640
Speaker 2: dollar back for everything I've done, it's worth it. The

603
00:32:43,720 --> 00:32:47,000
Speaker 2: moment I see that I'm losing money, I'm losing taxpayer

604
00:32:47,040 --> 00:32:50,320
Speaker 2: money trying to fight to keep the industry, then at

605
00:32:50,360 --> 00:32:52,840
Speaker 2: that point it's that you have to admit you've lost.

606
00:32:53,000 --> 00:32:57,280
Speaker 2: But so long as this industry produces, I'm keeping it.

607
00:32:57,280 --> 00:32:59,720
Speaker 2: It's it's here, Hollywood stays in Hollywood.

608
00:33:00,400 --> 00:33:03,440
Speaker 1: Yeah, I mean, I can't imagine what the state would

609
00:33:03,440 --> 00:33:05,840
Speaker 1: be like without Hollywood.

610
00:33:05,920 --> 00:33:08,400
Speaker 2: And it's not just Hollywood, right, it would be all

611
00:33:08,400 --> 00:33:10,840
Speaker 2: the tourist industries that are going to suffer because people

612
00:33:10,880 --> 00:33:13,800
Speaker 2: no longer are coming to see Hollywood. It's much more

613
00:33:13,840 --> 00:33:18,120
Speaker 2: than just the entertainment industry. It's all the other industries

614
00:33:18,360 --> 00:33:20,960
Speaker 2: that are benefiting from having Hollywood here.

615
00:33:21,680 --> 00:33:27,680
Speaker 1: Let's talk about education. The statistics for California are not good,

616
00:33:27,720 --> 00:33:31,320
Speaker 1: my friend. Why is that with all the money that's.

617
00:33:31,120 --> 00:33:34,040
Speaker 2: Spent, you know, we don't do it.

618
00:33:34,320 --> 00:33:38,000
Speaker 1: And there's so much disparity as well, between white students

619
00:33:38,000 --> 00:33:39,200
Speaker 1: and Latino students.

620
00:33:39,280 --> 00:33:41,880
Speaker 2: We don't do a good job of growing our own.

621
00:33:43,000 --> 00:33:46,040
Speaker 2: The beauty for California is such an attractive place that

622
00:33:46,120 --> 00:33:48,800
Speaker 2: we will still get talent. They will come from throughout

623
00:33:48,800 --> 00:33:52,920
Speaker 2: the world. If you think of most of the big innovators,

624
00:33:52,960 --> 00:33:56,320
Speaker 2: the big inventors, the big owners of some of these

625
00:33:56,760 --> 00:34:01,240
Speaker 2: tech companies, most of them are not us born. We

626
00:34:01,360 --> 00:34:04,400
Speaker 2: don't do a good job of growing our own. There's

627
00:34:04,440 --> 00:34:11,640
Speaker 2: nothing special or intrinsically difficult, but difficult in raising the

628
00:34:11,680 --> 00:34:14,319
Speaker 2: next scientist, engineers. We just have to do a far

629
00:34:14,360 --> 00:34:18,240
Speaker 2: better job. And you're right, we've never invested in growing

630
00:34:18,320 --> 00:34:21,000
Speaker 2: our own. I am the first in my family to

631
00:34:21,040 --> 00:34:23,680
Speaker 2: get to go to a university and get at college degree,

632
00:34:24,960 --> 00:34:26,480
Speaker 2: but I'm not special.

633
00:34:26,640 --> 00:34:28,200
Speaker 1: Did your parents come to your graduation?

634
00:34:28,840 --> 00:34:29,240
Speaker 2: Yeah?

635
00:34:29,560 --> 00:34:30,120
Speaker 1: How was that?

636
00:34:30,560 --> 00:34:33,640
Speaker 2: My dad wanted me to dress as a child when

637
00:34:35,480 --> 00:34:38,239
Speaker 2: he wanted to bring him Ariyacchi. We talked him out

638
00:34:38,280 --> 00:34:40,880
Speaker 2: of it, but no, they were very proud, very proud.

639
00:34:40,920 --> 00:34:44,480
Speaker 2: When I became Attorney general. By then my dad was

640
00:34:44,480 --> 00:34:47,040
Speaker 2: in his last years. You could see it. I mean,

641
00:34:47,760 --> 00:34:51,400
Speaker 2: I remember when I when Bill Clinton was president and

642
00:34:51,440 --> 00:34:53,800
Speaker 2: I invited my parents to finally come to Washington, d c.

643
00:34:53,920 --> 00:34:55,759
Speaker 2: For the first time to come visit their son, the

644
00:34:55,800 --> 00:34:59,080
Speaker 2: new congressman. My dad had one of those video cameras

645
00:34:59,080 --> 00:35:01,239
Speaker 2: and those days they were yeah, big bulky things, right,

646
00:35:01,480 --> 00:35:02,799
Speaker 2: and he wouldn't let it go. It look like an

647
00:35:03,000 --> 00:35:05,319
Speaker 2: extension of his eye everywhere he went. And I got

648
00:35:05,320 --> 00:35:07,120
Speaker 2: to take him to the signing of a bill with

649
00:35:07,200 --> 00:35:09,280
Speaker 2: Bill Clinton, and so they got to meet the President

650
00:35:09,280 --> 00:35:10,759
Speaker 2: of the United States. And now I've got to tell you,

651
00:35:11,160 --> 00:35:13,000
Speaker 2: I know you know how that is because you come

652
00:35:13,040 --> 00:35:15,279
Speaker 2: from background like that as well. When people look at

653
00:35:15,280 --> 00:35:19,680
Speaker 2: the US, it is just the place. And so to

654
00:35:19,760 --> 00:35:22,640
Speaker 2: have my parents have a chance to see that, it's

655
00:35:22,760 --> 00:35:24,520
Speaker 2: very special. You never forget that stuff.

656
00:35:24,760 --> 00:35:26,719
Speaker 1: Heman, have you ever experienced discrimination?

657
00:35:27,560 --> 00:35:30,759
Speaker 2: Oh? Sure, for sure, much more mild. It's not like

658
00:35:30,800 --> 00:35:32,839
Speaker 2: my parents. My dad would tell me if when he

659
00:35:32,880 --> 00:35:36,120
Speaker 2: was a young man, all the establishments outside that would

660
00:35:36,120 --> 00:35:38,640
Speaker 2: read no dogs, Negroes or Mexicans aloud. I mean, was

661
00:35:38,680 --> 00:35:40,359
Speaker 2: right there in front of you. This is a guy

662
00:35:40,400 --> 00:35:44,160
Speaker 2: who was picking, harvesting crops and fruit and vegetables that

663
00:35:44,280 --> 00:35:46,400
Speaker 2: he couldn't go into those restaurants to eat the very

664
00:35:46,440 --> 00:35:47,200
Speaker 2: food he had picked.

665
00:35:47,680 --> 00:35:50,200
Speaker 1: You know, I think one of the things that you've

666
00:35:50,239 --> 00:35:52,600
Speaker 1: talked a lot about in this campaign. I have followed

667
00:35:52,600 --> 00:35:54,720
Speaker 1: this campaign. You've talked a lot about taking on Trump,

668
00:35:55,280 --> 00:35:58,080
Speaker 1: and I have been seeing a lot of your ads

669
00:35:58,480 --> 00:36:00,920
Speaker 1: on TV while I've been here. You talk about taking

670
00:36:00,920 --> 00:36:05,560
Speaker 1: on Trump. I think Californians and by extension, Americans, have

671
00:36:05,600 --> 00:36:08,719
Speaker 1: gotten used to seeing Gavin Newsom take on Trump in

672
00:36:08,760 --> 00:36:13,440
Speaker 1: a very confrontational fire with fire away right. If Trump

673
00:36:13,440 --> 00:36:16,040
Speaker 1: tweets out a meme, new Some tweets out a meme.

674
00:36:16,080 --> 00:36:19,719
Speaker 1: If Trump cusses Newso cusses, that's not who you are,

675
00:36:20,000 --> 00:36:23,080
Speaker 1: That's not who you will ever be. So when you

676
00:36:23,200 --> 00:36:26,600
Speaker 1: say so, when you say I'm going to take on Trump,

677
00:36:26,680 --> 00:36:28,680
Speaker 1: it's not going to be the way Gavin Newsom has

678
00:36:28,680 --> 00:36:30,839
Speaker 1: done it. And by the way, it makes me feel

679
00:36:30,920 --> 00:36:34,000
Speaker 1: good and it gives me satisfaction to read the Newsome

680
00:36:34,000 --> 00:36:36,919
Speaker 1: tweets and listen to him talk about it. I don't

681
00:36:36,960 --> 00:36:41,200
Speaker 1: know that it's actually done anything for the state. I

682
00:36:41,280 --> 00:36:43,279
Speaker 1: don't Maybe it has, I don't know if it has.

683
00:36:43,560 --> 00:36:46,920
Speaker 1: So what's the way you are going to take on Trump?

684
00:36:47,560 --> 00:36:50,960
Speaker 2: I want to describe it as speak softly to carry

685
00:36:50,960 --> 00:36:54,520
Speaker 2: a big stick. It's not in my nature because it

686
00:36:54,560 --> 00:36:56,320
Speaker 2: wasn't in the nature of my parents. I did not

687
00:36:56,440 --> 00:37:00,279
Speaker 2: grow up being loud. I grew up as I as

688
00:37:00,320 --> 00:37:03,359
Speaker 2: my dad said. I said to Wendya, if I get

689
00:37:03,360 --> 00:37:05,160
Speaker 2: to go work, it's going to be a good day.

690
00:37:05,320 --> 00:37:08,560
Speaker 2: You earn what you get and I have to earn it.

691
00:37:08,640 --> 00:37:12,080
Speaker 2: So I'm ready to work with this administration. I'm ready

692
00:37:12,120 --> 00:37:16,120
Speaker 2: to work with whoever it is from the other party.

693
00:37:16,239 --> 00:37:18,920
Speaker 2: I just want to get some things done. But you

694
00:37:19,000 --> 00:37:21,239
Speaker 2: try to cross the line and I pull out the

695
00:37:21,239 --> 00:37:23,920
Speaker 2: big stick. And I think that's that's the best way

696
00:37:23,920 --> 00:37:26,879
Speaker 2: to do business, because, as we said earlier, we used

697
00:37:26,880 --> 00:37:29,680
Speaker 2: to have a relationship in Congress where you could work

698
00:37:29,719 --> 00:37:34,560
Speaker 2: with your your most divergent opponent. That's very difficult now,

699
00:37:35,040 --> 00:37:38,360
Speaker 2: but I learned how what you could succeed in doing

700
00:37:38,840 --> 00:37:41,960
Speaker 2: in if you could work with those that didn't appear

701
00:37:42,000 --> 00:37:44,440
Speaker 2: to be people you could agree with. And so I'm

702
00:37:44,440 --> 00:37:46,600
Speaker 2: going to try to figure out a way to work

703
00:37:46,640 --> 00:37:49,919
Speaker 2: with anyone who's ready to work with us. Do partnerships.

704
00:37:50,400 --> 00:37:53,680
Speaker 2: But don't take that for weakness, because we will stand up.

705
00:38:02,200 --> 00:38:09,239
Speaker 1: Kabier. This state has had its share of unsavory scandals, right,

706
00:38:09,320 --> 00:38:15,480
Speaker 1: I mean, former Governor Schwarzenegger had a baby with his housekeeper,

707
00:38:16,000 --> 00:38:20,000
Speaker 1: Eric Swalwell had to leave the race because of sexual

708
00:38:20,440 --> 00:38:25,320
Speaker 1: harassment and predatory allegations. There has never been a whiff

709
00:38:25,560 --> 00:38:30,399
Speaker 1: of character scandals of that nature with you, but there's

710
00:38:30,440 --> 00:38:32,719
Speaker 1: things in Congress that were around I think even when

711
00:38:32,760 --> 00:38:35,880
Speaker 1: you were there, like slush funds, and there's just like

712
00:38:35,920 --> 00:38:39,520
Speaker 1: I keep thinking, why is this still happening? Why in

713
00:38:39,640 --> 00:38:43,080
Speaker 1: politics do we still have an environment? And it's not

714
00:38:43,280 --> 00:38:46,319
Speaker 1: just in Congress, it's not just in Washington. It's in

715
00:38:46,360 --> 00:38:51,080
Speaker 1: all the different levels where people in power think that

716
00:38:51,120 --> 00:38:55,080
Speaker 1: they can do that, and how do we change that?

717
00:38:56,080 --> 00:38:57,240
Speaker 1: As somebody with three.

718
00:38:57,160 --> 00:39:03,120
Speaker 2: Daughters, Yeah, you get carried away. I mean you walk

719
00:39:03,600 --> 00:39:06,520
Speaker 2: down the airport, people recognize and it's it feels good

720
00:39:06,520 --> 00:39:08,799
Speaker 2: that people recognize you and they want your autograph and

721
00:39:08,840 --> 00:39:09,960
Speaker 2: they say nice things to you.

722
00:39:10,760 --> 00:39:13,640
Speaker 1: Well, I live in Miami. They're usually amongst a bunch

723
00:39:13,680 --> 00:39:19,000
Speaker 1: of Trumpers, but I believe it.

724
00:39:19,480 --> 00:39:22,239
Speaker 2: But uh, you know, some people, it goes to their

725
00:39:22,239 --> 00:39:25,880
Speaker 2: head and you forget why you're there. It's unfortunate and

726
00:39:25,920 --> 00:39:29,439
Speaker 2: you think you are above the law, and it's it's

727
00:39:29,440 --> 00:39:31,920
Speaker 2: sad to see and that those are the folks who

728
00:39:32,000 --> 00:39:35,200
Speaker 2: just don't know how to handle that authority, that power

729
00:39:35,200 --> 00:39:38,759
Speaker 2: that comes with the position. It's I don't think it's

730
00:39:38,760 --> 00:39:41,080
Speaker 2: ever going to go away. You have to have rules

731
00:39:41,120 --> 00:39:45,680
Speaker 2: to stop it. But it's it's the it's this seedier

732
00:39:45,800 --> 00:39:47,200
Speaker 2: side of human nature.

733
00:39:47,400 --> 00:39:50,440
Speaker 1: One of the things that I've always noticed about you

734
00:39:50,560 --> 00:39:54,720
Speaker 1: is you you have stayed grounded. Uh, you've stayed grounded.

735
00:39:54,840 --> 00:39:59,320
Speaker 1: You've never gotten caught up with the trappings. What keeps

736
00:39:59,320 --> 00:39:59,800
Speaker 1: you grounded?

737
00:40:00,440 --> 00:40:02,840
Speaker 2: I got a wife who keeps me very grounded. I

738
00:40:02,920 --> 00:40:06,719
Speaker 2: got three daughters that I you know, I respect them,

739
00:40:06,760 --> 00:40:08,600
Speaker 2: they respect me. It's you know, at the end of

740
00:40:08,640 --> 00:40:10,239
Speaker 2: the day, the way I look at it is I

741
00:40:10,280 --> 00:40:12,680
Speaker 2: want to go home to something, and if I ruin

742
00:40:12,840 --> 00:40:14,920
Speaker 2: what I have at home, what will I go home to.

743
00:40:15,400 --> 00:40:19,080
Speaker 2: I'm not going to be in this position forever. I'm

744
00:40:19,120 --> 00:40:22,120
Speaker 2: not going to be a attorney general, secretary governor forever.

745
00:40:22,719 --> 00:40:24,680
Speaker 2: At some point when I go home, I don't want

746
00:40:24,719 --> 00:40:27,000
Speaker 2: it to be empty, and I love what I have

747
00:40:27,080 --> 00:40:27,439
Speaker 2: at home.

748
00:40:27,680 --> 00:40:30,440
Speaker 1: What kind of first lady would Carolina be?

749
00:40:30,640 --> 00:40:33,480
Speaker 2: Oh Man, Thank god she's not ready for a governor,

750
00:40:33,480 --> 00:40:37,640
Speaker 2: because she would be the toughest Competition's she you know it.

751
00:40:38,680 --> 00:40:41,600
Speaker 2: She has all her life. She has saved lives as

752
00:40:41,600 --> 00:40:43,759
Speaker 2: a high risk WO b G I N. She has

753
00:40:44,200 --> 00:40:52,120
Speaker 2: made women, families better, healthier, thriving. She's going to be

754
00:40:52,160 --> 00:40:54,680
Speaker 2: a great partner. California's gonna be very fortunate.

755
00:40:55,239 --> 00:40:57,520
Speaker 1: One of the things that got decimated when Trump came

756
00:40:57,560 --> 00:41:01,279
Speaker 1: into power was the Women's Health Initiative that doctor Jill

757
00:41:01,320 --> 00:41:07,160
Speaker 1: Biden had started. Former California First Lady Maria Shreiver was

758
00:41:07,239 --> 00:41:09,400
Speaker 1: part of that. Is that something you can replicate at

759
00:41:09,400 --> 00:41:09,959
Speaker 1: the state level.

760
00:41:10,000 --> 00:41:13,759
Speaker 2: Absolutely, we did a lot of that work. We were

761
00:41:13,800 --> 00:41:18,600
Speaker 2: beginning to make inroads into doing investigative research work that

762
00:41:18,719 --> 00:41:24,560
Speaker 2: was focused specifically on women menopause, on issues that we

763
00:41:24,640 --> 00:41:28,719
Speaker 2: have never really studied well, on things like hypertension, which

764
00:41:28,719 --> 00:41:32,239
Speaker 2: affects women in ways far worse than men, but we

765
00:41:32,280 --> 00:41:34,399
Speaker 2: don't know that because most of the research has been

766
00:41:34,400 --> 00:41:39,320
Speaker 2: done using men, as the people are part of the

767
00:41:39,520 --> 00:41:42,480
Speaker 2: subjects that are part of the research, and so we

768
00:41:42,480 --> 00:41:47,120
Speaker 2: were going into an area which truly needed exploration. And

769
00:41:47,160 --> 00:41:50,440
Speaker 2: of course then the money got gutted as.

770
00:41:50,280 --> 00:41:51,680
Speaker 1: We end, because I know you have a lot of

771
00:41:51,719 --> 00:41:55,600
Speaker 1: campaigning to do. Does the idea of making history as

772
00:41:55,600 --> 00:42:00,520
Speaker 1: the first Latino governor if you are lucky to be

773
00:42:00,880 --> 00:42:05,000
Speaker 1: fortunate enough to be honored with being elected, how does

774
00:42:05,040 --> 00:42:07,360
Speaker 1: that do? Have you even thought about that for a

775
00:42:07,440 --> 00:42:08,600
Speaker 1: minute or are you.

776
00:42:08,680 --> 00:42:10,799
Speaker 2: Just I think about it, but not as being the

777
00:42:10,800 --> 00:42:13,560
Speaker 2: first because always people always ask me, wow, you were

778
00:42:13,560 --> 00:42:16,240
Speaker 2: the first Congressman to serve on the Ways and Means Committee,

779
00:42:16,239 --> 00:42:19,000
Speaker 2: the Tax Writing Committee. You were the first first person

780
00:42:19,160 --> 00:42:22,640
Speaker 2: Latino to become Attorney General. You were the first Secretary

781
00:42:22,640 --> 00:42:25,480
Speaker 2: of HHS to be Latino. You know, sometimes it gets

782
00:42:25,560 --> 00:42:27,160
Speaker 2: kind of tiring of being the first. You want to

783
00:42:27,200 --> 00:42:29,440
Speaker 2: make sure that there are many more that come after you.

784
00:42:30,160 --> 00:42:33,200
Speaker 2: What I would tell you is this, I think of

785
00:42:33,239 --> 00:42:37,040
Speaker 2: this as the kid who was the son of immigrants

786
00:42:37,560 --> 00:42:40,680
Speaker 2: who had never been to college, who people would look

787
00:42:40,719 --> 00:42:44,120
Speaker 2: at and say that kid's going to be governor. Now,

788
00:42:44,640 --> 00:42:48,440
Speaker 2: that's what I really appreciate is that this country, this

789
00:42:48,520 --> 00:42:51,840
Speaker 2: state would allow someone like me, not because of Latino,

790
00:42:51,920 --> 00:42:56,120
Speaker 2: but because of my roots, actually become a governor. And

791
00:42:56,280 --> 00:42:58,759
Speaker 2: guess what I think I'm going to be a good governor.

792
00:42:58,920 --> 00:43:03,480
Speaker 1: Howrier, Let's give it uh latinous before we are okay,

793
00:43:03,719 --> 00:43:10,280
Speaker 1: chilaquila rancho, Oh my god, lachis tamaletacoaco, Oh.

794
00:43:10,160 --> 00:43:15,120
Speaker 2: No, I love too much? Masa tequila ch oh tequila,

795
00:43:15,360 --> 00:43:17,280
Speaker 2: neither one really, but tequila.

796
00:43:17,280 --> 00:43:18,400
Speaker 1: Tequila or servesa?

797
00:43:19,080 --> 00:43:20,040
Speaker 2: Oh serve.

798
00:43:22,400 --> 00:43:24,680
Speaker 1: Okay with Miguel or Santa Fernande.

799
00:43:25,120 --> 00:43:27,800
Speaker 2: Oh my gosh, I gotta do, he said to Fernandez,

800
00:43:27,840 --> 00:43:34,040
Speaker 2: because that's that's the curason favorite rancea Ah Felice Felis.

801
00:43:34,160 --> 00:43:37,720
Speaker 2: There's a great, great song called last Felie Cumbia and francea.

802
00:43:37,800 --> 00:43:39,040
Speaker 2: But it's a great dancer.

803
00:43:39,600 --> 00:43:39,960
Speaker 1: Okay.

804
00:43:40,080 --> 00:43:41,000
Speaker 2: I will go with.

805
00:43:42,680 --> 00:43:47,879
Speaker 1: Graweng la Pinka or Ray. I mean, anytime I drink

806
00:43:47,960 --> 00:43:52,720
Speaker 1: too much tequila, I will burst out with with with Lray.

807
00:43:53,520 --> 00:43:58,040
Speaker 1: What what parting message do you have for Californians and

808
00:43:58,040 --> 00:44:00,799
Speaker 1: for Americans. There's the thing that worries me the most

809
00:44:00,880 --> 00:44:05,440
Speaker 1: right now is how hopeless and helpless people Feelah, and

810
00:44:05,719 --> 00:44:09,399
Speaker 1: the last two years have you know, have worn our

811
00:44:09,480 --> 00:44:13,520
Speaker 1: souls down? And I think and they've taken away people's

812
00:44:13,520 --> 00:44:16,640
Speaker 1: belief in democracy. I don't know that people believe them

813
00:44:16,680 --> 00:44:20,239
Speaker 1: that elections matter, that voting matters. That you know when

814
00:44:20,280 --> 00:44:23,040
Speaker 1: you see what they're doing, rigging the elections by changing

815
00:44:23,080 --> 00:44:27,080
Speaker 1: the congressional maps. I mean, so why should people still

816
00:44:27,120 --> 00:44:29,120
Speaker 1: have faith in this country and in this state?

817
00:44:30,560 --> 00:44:35,040
Speaker 2: And Hurana, you will understand the answer, because everyone around

818
00:44:35,040 --> 00:44:37,920
Speaker 2: the world still believes in the US. As bad as

819
00:44:37,960 --> 00:44:40,840
Speaker 2: things are, as much as we're absorbing and we're living

820
00:44:40,840 --> 00:44:44,600
Speaker 2: this and thinking our democracy is falling apart. Around the world,

821
00:44:45,160 --> 00:44:47,560
Speaker 2: everyone still looks at us to say, gosh, if we

822
00:44:47,600 --> 00:44:49,960
Speaker 2: could only be like the United States. Oh yeah, it's

823
00:44:49,960 --> 00:44:53,520
Speaker 2: a crazy place. The president's crazy. They've done some awful things.

824
00:44:54,200 --> 00:44:56,239
Speaker 2: But man, if we could only be more like the

825
00:44:56,320 --> 00:44:59,680
Speaker 2: United States, that's that should give us the inspiration to

826
00:44:59,760 --> 00:45:02,160
Speaker 2: know that we still have a better day. The glass

827
00:45:02,200 --> 00:45:04,400
Speaker 2: is still only half full. And for you and me,

828
00:45:05,360 --> 00:45:08,319
Speaker 2: coming from immigrant backgrounds, it rens in our blood to

829
00:45:08,320 --> 00:45:11,640
Speaker 2: be optimistic and so better days still to come. I

830
00:45:11,680 --> 00:45:14,279
Speaker 2: know for a fact that California, better days still to come.

831
00:45:14,520 --> 00:45:17,759
Speaker 2: But it's because I come from a background where that's

832
00:45:18,040 --> 00:45:22,640
Speaker 2: you had a hope. Like my dad said, sexim, but

833
00:45:22,640 --> 00:45:23,759
Speaker 2: I said, when diya.

834
00:45:24,120 --> 00:45:27,320
Speaker 1: I'm going to uh end with this. So the reason

835
00:45:27,360 --> 00:45:29,520
Speaker 1: this podcast is called bleep This is not going to

836
00:45:29,560 --> 00:45:32,800
Speaker 1: surprise you is because I tend to get bleeped because

837
00:45:32,800 --> 00:45:35,720
Speaker 1: I cuss on National TV and you know, we can't

838
00:45:35,719 --> 00:45:38,319
Speaker 1: do that at eleven am in the morning. And so

839
00:45:38,360 --> 00:45:41,360
Speaker 1: then I tried to cuss in Spanish because thinking they

840
00:45:41,400 --> 00:45:43,200
Speaker 1: wouldn't pick it up. And now they've you know, now

841
00:45:43,239 --> 00:45:44,080
Speaker 1: they picked that up.

842
00:45:44,160 --> 00:45:46,080
Speaker 2: We're bilingual here, now we're bilingual.

843
00:45:46,160 --> 00:45:50,520
Speaker 1: Now, okay, do you cuss in English on Spanish?

844
00:45:50,800 --> 00:45:55,319
Speaker 2: Really? Not one? Neither one is I know it's forgive me,

845
00:45:55,360 --> 00:45:58,680
Speaker 2: but you know, My dad would sometimes use a few

846
00:45:58,680 --> 00:46:00,760
Speaker 2: words here and there, but my mom would always say,

847
00:46:04,000 --> 00:46:05,800
Speaker 2: my nice school child. You know your kids are gonna

848
00:46:05,960 --> 00:46:10,400
Speaker 2: hear you. I just I would prefer to do things differently.

849
00:46:10,480 --> 00:46:14,040
Speaker 2: I don't think you have to again, speak softly, carry

850
00:46:14,040 --> 00:46:16,920
Speaker 2: a big stick. I honestly don't believe you have to

851
00:46:16,960 --> 00:46:19,640
Speaker 2: go to those extremes. But you know what, it's sure

852
00:46:19,719 --> 00:46:22,520
Speaker 2: sometimes helps you explain something in one word.

853
00:46:23,480 --> 00:46:26,920
Speaker 1: Like if you if okay, explain Trump in one word.

854
00:46:30,120 --> 00:46:31,960
Speaker 2: You're right, would be nice to use a four letter

855
00:46:32,000 --> 00:46:35,320
Speaker 2: word there, disaster, I mean a disaster for a country

856
00:46:35,360 --> 00:46:37,960
Speaker 2: that is the high water mark for the rest of

857
00:46:38,000 --> 00:46:40,399
Speaker 2: the world. But that's okay, We'll get past him.

858
00:46:40,760 --> 00:46:48,799
Speaker 1: Explain in one word.

859
00:46:46,719 --> 00:46:52,400
Speaker 2: Child of immigrants. Child Equally, it's combining.

860
00:46:53,280 --> 00:46:55,640
Speaker 1: Its one term. Thank you, my friend for having given

861
00:46:55,719 --> 00:47:00,200
Speaker 1: us this time. Thank you for thirty plus years of

862
00:47:00,360 --> 00:47:04,279
Speaker 1: knowing each other, of working together. I am looking very

863
00:47:04,280 --> 00:47:06,880
Speaker 1: closely at this, and I think the entire country is this.

864
00:47:08,200 --> 00:47:13,799
Speaker 1: California is such a huge state with a huge footprint

865
00:47:14,440 --> 00:47:18,840
Speaker 1: around the world that it's really important that it has leadership.

866
00:47:18,880 --> 00:47:21,840
Speaker 1: And I've heard you say this, you know, and I

867
00:47:21,880 --> 00:47:23,960
Speaker 1: wanted to talk about your experience because I have heard

868
00:47:24,000 --> 00:47:28,839
Speaker 1: you doing confirmers. I've heard you say the governor's job,

869
00:47:29,120 --> 00:47:31,120
Speaker 1: being governor does not come with training wheels.

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00:47:31,200 --> 00:47:34,080
Speaker 2: Yeah, yeah, it's true. This is not a place for

871
00:47:34,160 --> 00:47:36,200
Speaker 2: on the job training. You better know what you're doing

872
00:47:36,440 --> 00:47:38,600
Speaker 2: because it does not There are not training wheels waiting

873
00:47:38,640 --> 00:47:40,319
Speaker 2: for you when you get into the governor's office. You

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00:47:40,360 --> 00:47:42,680
Speaker 2: got to hit the ground running, especially with these crises.

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00:47:43,000 --> 00:47:46,240
Speaker 2: But you just said something. You said, California is so important,

876
00:47:46,239 --> 00:47:49,600
Speaker 2: blah blah blah. You're reflecting that what I just said

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00:47:49,600 --> 00:47:52,680
Speaker 2: about the rest of the world with America. Everyone looks

878
00:47:52,719 --> 00:47:56,480
Speaker 2: at us and says the place at the top of

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00:47:56,520 --> 00:47:59,640
Speaker 2: the hill, whether it is America or whether it's California.

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00:47:59,800 --> 00:48:02,960
Speaker 2: And that's why we should take inspiration in that and

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00:48:03,040 --> 00:48:06,319
Speaker 2: have confidence that we will overcome. We will do better.

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00:48:06,800 --> 00:48:09,799
Speaker 1: Gavin Newsom has a podcast as governor. Is that something

883
00:48:09,880 --> 00:48:13,120
Speaker 1: you would do to keep people abreast of what you're

884
00:48:13,120 --> 00:48:14,560
Speaker 1: doing and what's going on in government?

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00:48:14,840 --> 00:48:16,799
Speaker 2: You know, I want to make sure I'm doing my

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00:48:16,880 --> 00:48:19,920
Speaker 2: job well. If there's time for that, great, But.

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00:48:21,400 --> 00:48:23,959
Speaker 1: Okay, don't have a podcast. Keep coming on mind.

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00:48:24,120 --> 00:48:25,359
Speaker 2: Yeah, there you go.

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00:48:26,239 --> 00:48:31,080
Speaker 1: Thank you. Bleep with Anna Navarro is a high Finite

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Speaker 1: Media Group production in partnership with iheart's Michael Duda podcast Network.

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Speaker 1: For more of your favorite shows, visit the iHeartRadio app,

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00:48:39,640 --> 00:48:44,040
Speaker 1: Apple Podcasts, or wherever you get your podcasts.