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Speaker 1: Hey, folks, Kamala Harris makes history. But here's the thing,

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Speaker 1: she never even mentioned it in her acceptance speech. Also,

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Speaker 1: who told you Beyonce was going to perform at the DNC.

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Speaker 1: Turns out the rumors, the buzz, the anticipation were all wrong.

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Speaker 1: And what the hell is a low te soy boy?

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Speaker 1: And why it matters in this election? And with that,

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Speaker 1: everybody welcomes to Amy and TJ Robes. Kamala Harris nailed

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Speaker 1: it in her speech. And the reason I know that

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Speaker 1: is because Fox News told me she nailed it. We

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Speaker 1: do this now. We don't just watch one network or

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Speaker 1: one cable network. When you flicked around last night and

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Speaker 1: got immediate reaction, you could tell from the Fox News

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Speaker 1: folks that she got it right.

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Speaker 2: It's so interesting, and we've talked about this, but we

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Speaker 2: encourage everyone, especially in these next seventy plus days, to

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Speaker 2: check out all the channels because you will see two

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Speaker 2: very different versions of the same thing based on who

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Speaker 2: you're watching. But to your point, yes, you know that

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Speaker 2: there is some concern potentially among Republicans for what we

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Speaker 2: saw last night when you see Fox News not going

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Speaker 2: straight in for the kill, and that does happen almost

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Speaker 2: every other time.

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Speaker 1: Every single time, you'll turn on one network and they

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Speaker 1: say this is the greatest speech we've ever seen in

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Speaker 1: political history, and the other one is say Foxes will

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Speaker 1: say this is the worst speech I think has ever

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Speaker 1: been delivered modern in the modern area. That wasn't last night.

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Speaker 1: Immediate reaction from all of them was not necessarily I

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Speaker 1: won't even say not just immediately critical, but it was

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Speaker 1: complementary in a way, and saying she did the job

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Speaker 1: and understood the assignment in that speech, and so to

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Speaker 1: hear that was my first indication of just how well

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Speaker 1: she had done.

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Speaker 2: Yeah, and look, she's not known for giving riveting, powerful speeches,

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Speaker 2: and yet last night she did exactly what she needed

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Speaker 2: to do with just a few weeks prep time, because

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Speaker 2: remember she just got the novel, or she just was

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Speaker 2: handed this potential position a matter of weeks ago, so

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Speaker 2: everything had to flip on its head from the lineup

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Speaker 2: to what we were going to see over.

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Speaker 3: The last four days.

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Speaker 2: So it was you have to, at least, regardless of

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Speaker 2: where you stand politically, give her and the people around

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Speaker 2: her credit for pulling that off so quickly.

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Speaker 1: Month and a day, a month and a day before

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Speaker 1: she got on stage. Joe Biden was still supposed to

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Speaker 1: be the nominee. He dropped out a month and a

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Speaker 1: day before she got on stage. That's just remarkable. So her,

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Speaker 1: there's not really an assessment or you have plenty of

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Speaker 1: folks out there who'll tell you and give you an

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Speaker 1: assessment of the speech and break it down politically. I

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Speaker 1: was though, Roades, we couldn't miss it because who knows

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Speaker 1: when we might see this again in our lives, because

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Speaker 1: we've never seen it before, the country hasn't seen it before.

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Speaker 1: A black woman is a major party nominee for president

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Speaker 1: and it wasn't even mentioned last night in our speech.

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Speaker 3: Isn't it remarkable?

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Speaker 2: I mean, you saw the powerful the visual of the

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Speaker 2: women out in the audience who were all dressed in white,

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Speaker 2: notably honoring women's suffrage over one hundred years ago.

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Speaker 3: So that was a pretty cool thing.

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Speaker 2: And I saw women openly weeping listening to Kamala speaking

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Speaker 2: for most likely what you just mentioned. Yet she never

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Speaker 2: said it, she never acknowledged it. She's just the second

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Speaker 2: woman to be given this opportunity within the Democratic Party,

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Speaker 2: and she would of course become the first woman and notably, yes,

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Speaker 2: first black woman, first woman of East Asian descent to

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Speaker 2: take on that position, and yet she didn't point that out,

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Speaker 2: and I'm sure that was a very deliberate thing. She

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Speaker 2: wanted to be powerful, and not that women can't be powerful,

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Speaker 2: but she wanted to be relatable and powerful, and I

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Speaker 2: think if those were her two goals, she absolutely nailed it.

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Speaker 1: You said, just because she's a woman doesn't have to

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Speaker 1: be powerful, But I think that does play in it, right,

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Speaker 1: And so much talk about feminine and masculine during the

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Speaker 1: DNC in particular R and C as well. We're going

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Speaker 1: to get into that in a second.

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Speaker 2: But.

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Speaker 1: It's okay to say that out loud, that there sometimes

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Speaker 1: is an extra burden on women, whether that's in the

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Speaker 1: in the office on the Upper West Side here in

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Speaker 1: New York or president presidential politics, there's some you have

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Speaker 1: to make sure you exude some level of strength and

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Speaker 1: power and command.

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Speaker 2: It is a tough needle to thread for a woman

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Speaker 2: in her position or who is seeking a powerful position.

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Speaker 2: Look what happened to Hillary. She wasn't warm enough, she

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Speaker 2: wasn't likable enough, you know, So you've got to strike

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Speaker 2: this balance as a woman in this type of position

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Speaker 2: to exude warmth and at the same time exude strength.

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Speaker 2: And you even mentioned at some points when we were

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Speaker 2: watching her speech, is she yelling?

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Speaker 3: You know? She had to come on strong and forcefully.

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Speaker 2: This is a woman who's going to potentially have the

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Speaker 2: nuclear codes, and she has to be able to invade

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Speaker 2: countries or protect democracy, all.

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Speaker 3: Of these things.

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Speaker 2: So she has to exude a real strength that we

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Speaker 2: have to feel and believe. And that's a tough thing

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Speaker 2: to do sometimes because at the same time, as a woman,

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Speaker 2: you have to be likable, and you have to be kind,

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Speaker 2: and you have to be you know, it's just all

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Speaker 2: exaust it is And I thought she did nail it,

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Speaker 2: and that's a tough thing to do.

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Speaker 1: And look, she met the moment and that moment was

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Speaker 1: history that I watching it, I wanted to be and

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Speaker 1: I was you have to be proud just of your

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Speaker 1: country in the moment. Forget everything else. Look at what

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Speaker 1: we did as a country. Look this is happening in

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Speaker 1: the country. That's kind of incredible. The short list Jeraldine Ferraro,

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Speaker 1: Sarah Palin, and Kamala Harris only three women to be

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Speaker 1: nominated as VP. Of course, kama is the only one

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Speaker 1: who has won. But now we're not that far from

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Speaker 1: I mean, Hillary Clinton wasn't that long ago. She was

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Speaker 1: the first. We just don't have. I mean, all the

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Speaker 1: Michelle Bachman's of the world, and the Kloba Jars and

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Speaker 1: Nicky Haley, all those women that have it seemed like

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Speaker 1: they're everywhere in politics and major party politics. But this

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Speaker 1: was still and this is new to us to see

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Speaker 1: what we saw last night, and I want it to

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Speaker 1: be and I was so proud to see this black

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Speaker 1: woman up there doing this thing and proud of the country.

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Speaker 1: But then it was like, I don't say it was

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Speaker 1: a letdown, but it's almost a compliment too that we

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Speaker 1: didn't focus on it, that we maybe do expect this

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Speaker 1: to be the next thing, and this is just who

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Speaker 1: we are now and how we rolled and maybe that's

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Speaker 1: the Maybe that's the best takeaway.

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Speaker 2: And you know what, now that you mentioned it in

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Speaker 2: that context, I love that she didn't mention that she

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Speaker 2: or point out that she's a woman, that she's a

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Speaker 2: black woman, that she's a woman of color. I think

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Speaker 2: it's pretty cool that she above all of that and

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Speaker 2: just went for basically, if you didn't know her, she

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Speaker 2: was introducing herself for people who do. She was reintroducing

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Speaker 2: herself and her story, and at the same time she

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Speaker 2: really did get into policy, and she went after Trump wholeheartedly,

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Speaker 2: which I didn't know that she was going to do.

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Speaker 2: I mean, the speakers who had led up to her

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Speaker 2: had all chosen to do that as well, because you know, Democrats,

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Speaker 2: I think have and they have pointed out that this

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Speaker 2: is a joyful campaign, and yet at the same time

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Speaker 2: they understand that they have to at this point point

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Speaker 2: out who not to vote for it, not just to

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Speaker 2: vote for them, but and I hate that that's where

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Speaker 2: we are in politics, but I think that's where we've

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Speaker 2: always been.

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Speaker 1: You know, so many of these things. I often do

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Speaker 1: feel the same. It seems like every speech Theatic Convention

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Speaker 1: is about change, about the future. It's about going forward,

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Speaker 1: it's about not going back. It's about giving out an alternative

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Speaker 1: and being the fresh face and we're going to turn

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Speaker 1: the They all into that degree feel the same. She felt,

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Speaker 1: in part, this has been there, but a lot of

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Speaker 1: people in the country wanted an alternative to two old

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Speaker 1: white guys. Yeah, and so a lot of those folks

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Speaker 1: look at that last night and go, Okay, he's capable.

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Speaker 1: We're good. You can at least feel that if you're

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Speaker 1: not into democratic left and right and all this. She

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Speaker 1: just gave another option to what we are used to

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Speaker 1: in this country, which is a bunch of old white

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Speaker 1: dudes on Capitol Hill telling everybody what they can and

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Speaker 1: can't do, and oftentimes the complaint is telling women what

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Speaker 1: they can and can't do with their bodies. So just

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Speaker 1: to turn the page from those guys might be appealing

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Speaker 1: outside of just party line.

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Speaker 2: I certainly think it is. It was appealing to me that,

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Speaker 2: you know, it's funny. We've been watching, especially with the

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Speaker 2: Democrats this week, go long and late, so it was

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Speaker 2: nice to see her to be on time and brief.

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Speaker 3: I was looking this up.

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Speaker 2: She has one of the shortest acceptance speeches in campaign history,

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Speaker 2: so hers was only thirty eight minutes. It's the twelfth

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Speaker 2: shortest in modern history. Guess where Trump falls on that.

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Speaker 2: We watched his speech as well.

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Speaker 3: For the RNC.

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Speaker 1: The first, second, and third longest convention speeches ever given

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Speaker 1: were all done by mister Donald J.

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Speaker 2: T All surprised and by the way he was speaking

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Speaker 2: sort of the entire time. Kamala Harris was giving her

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Speaker 2: speech he went on to a truth social the social media.

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Speaker 2: I guess it's company that he is, I guess the

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Speaker 2: largest owner in. But he was refuting and that was

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Speaker 2: pretty smart on his part because he still was getting

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Speaker 2: a lot of attention online and certainly in news publications

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Speaker 2: as Kamala was speaking, he was refuting her points. You know,

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Speaker 2: he's always been fairly brilliant when it comes to his tactics,

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Speaker 2: and he was, Yeah, he managed to at least, I

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Speaker 2: wouldn't say share the spotlight, but at least continue to

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Speaker 2: have the spotlight on him while Kamala was speaking.

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Speaker 1: And you know, how do you we all have gotten

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Speaker 1: into this habit now. I don't know why. Sometimes I

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Speaker 1: take a step back because it feels disrespectful. We all

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Speaker 1: call her Kamala.

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Speaker 3: Oh you know what, you make a good point of

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Speaker 3: Kamala Harris.

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Speaker 1: Everybody everybody called her Kamala, Kamala Kama. We're not calling

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Speaker 1: him Donald nobody. And it's I mean, her name is

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Speaker 1: first name, and it's it stands out and but yeah,

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Speaker 1: it's something about it feels disrespectful to me. Do not

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Speaker 1: call her VP Harris.

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Speaker 3: That's actually a really good point.

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Speaker 2: I think it's funny even though I think they leaned

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Speaker 2: into it a little bit last night with Carrie Washington

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Speaker 2: with her with uh Kamala Harris's I think they were

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Speaker 2: her grand nieces.

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Speaker 3: They were adorable.

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Speaker 2: But because Donald Trump mispronounces her name, Carrie was saying

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Speaker 2: potentially deliberately, which would be disrespectful. So just in fun,

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Speaker 2: they had the whole audience say her name Kama Lakama

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Speaker 2: La so that no one would get it wrong. So

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Speaker 2: Kamala was a big part of the evening and embracing

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Speaker 2: that name.

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Speaker 3: Said that all the signs said Kamala. They didn't say Harris.

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Speaker 3: So you know, I don't know if it's disrespectful, but

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Speaker 3: they've certainly leaned into it.

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Speaker 1: I don't I don't think it is for what they're

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Speaker 1: doing with the campaign, just saying for me, it feels

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Speaker 1: a little weird. I guess just from our background in

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Speaker 1: our history.

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Speaker 3: We ever say George when we're talking about George W.

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Speaker 2: Bush, right, I mean, and that is true, And but

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Speaker 2: we did say Hillary, but maybe that's because the other

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Speaker 2: Clinton was Bill. You know, I don't know, but that

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Speaker 2: is a that is true. And yeah, and funny enough,

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Speaker 2: you only called me by my last name and people.

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Speaker 1: Think I'm being disrespectful by doing that. That's true.

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Speaker 2: You call me Rovaca Robes and people are like, why

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Speaker 2: don't you just call her by her name, Andy, You're

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Speaker 2: being disrespectful.

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Speaker 3: Can't win? I have thought about that.

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Speaker 2: What do you do?

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Speaker 1: Oh, that's just a little thing from last night. I

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Speaker 1: did think her best most effect, I really thought it

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Speaker 1: was effective, was the making the point about being a

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Speaker 1: prosecutor and she's only had one client. I love that

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Speaker 1: because it was very easy to understand I've only had

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Speaker 1: one client, the people. I'd like, that's kind of effective

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Speaker 1: when you're about to run.

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Speaker 3: For president, she said from the courthouse to the White House.

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Speaker 1: I just I've only represented the people, and then made

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Speaker 1: the comparison saying Trump is only represented himself.

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Speaker 3: He's only had one client.

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Speaker 1: He's the one client. So I thought that was maybe

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Speaker 1: one of her most effective and I was surprised to

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Speaker 1: hear her be as effective as she was. On foreign policy,

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Speaker 1: this was the one I thought she nailed, comparing Trump

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Speaker 1: to a tyrant and said he would cozy up to

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Speaker 1: them and then the Israel Gaza. That line she was written,

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Speaker 1: it looks good on paper, and she delivered that line well.

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Speaker 3: She truly did.

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Speaker 2: She obviously made it very clear that she and her

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Speaker 2: party stand with the people of Israel, but also made

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Speaker 2: a very big nod to the people of Gaza and

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Speaker 2: the atrocities and the absolute horrific, horrific attacks they've endured

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Speaker 2: and the losses that they've felt. So she did thread

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Speaker 2: that needle very well.

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Speaker 1: Yeah, and to her line quote, in this war, such

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Speaker 1: that Israel is secure, the hostages are released, the suffering

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Speaker 1: in Gaza ends, and the Palestine and people can realize

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Speaker 1: their right to dignity, security, freedom and self determination. It's

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Speaker 1: I think a lot of that debate has been going

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Speaker 1: on and around you know, dinner tables and around the

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Speaker 1: water cooler, that you can be supportive of one but

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Speaker 1: also your heart can go out to the suffering of another.

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Speaker 1: There are people who are suffering. She did that in

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Speaker 1: the most human of ways, but also as a politician

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Speaker 1: and delivering a policy statement. I thought that was that

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Speaker 1: that came for me, came out. I know, like, wow,

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Speaker 1: that's good.

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Speaker 2: Yeah, because I don't think, like to your point, I

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Speaker 2: don't think a lot of people were expecting her to

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Speaker 2: go there. And I also think, look, regardless of where

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Speaker 2: you are, how she went about attacking Trump was very effective,

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Speaker 2: perhaps maybe just to her own party. I don't know

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Speaker 2: how many Independence and and even other Republicans who she's

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Speaker 2: obviously trying to bring over. We saw a former US Congressman,

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Speaker 2: Adam Kissinger.

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Speaker 3: I always say his name right? Wrong? Is I say?

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Speaker 2: There?

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Speaker 1: How many times we interviewed this.

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Speaker 2: You know what?

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Speaker 3: I can never say his name right?

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Speaker 1: Practice his name every time Adam Kinsinger.

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Speaker 2: Kinsinger, see I want to say, like, Henry Kissinger gets

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Speaker 2: in my head and then I can't say his name.

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Speaker 1: He's not coming out.

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Speaker 3: But I thought that was.

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Speaker 2: A really powerful moment when he came out and spoke.

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Speaker 2: We've interviewed him several times, as we've mentioned, and he

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Speaker 2: was one of two Republicans who was on the January

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Speaker 2: sixth committee, so we already knew where he stood, and

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Speaker 2: he's been very vocal about his.

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Speaker 3: Anti Trump feelings.

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Speaker 2: But to actually speak in front of the DNC was

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Speaker 2: I thought a pretty powerful thing. But to then see

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Speaker 2: where Kamala went when she went after Trump. She certainly

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Speaker 2: spent a lot of her speech talking about what the

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Speaker 2: risks would be of having another Trump term.

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Speaker 1: Yes, and that's to be expected. The only time I

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Speaker 1: get well a little uncomfortable. Don't like when we pit

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Speaker 1: It's one thing to say this person is wrong for

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Speaker 1: the country, but to oftentimes we put anybody who supports

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Speaker 1: that candidate into a particular box of also being evil

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Speaker 1: and wrong and how could you? And that's how we

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Speaker 1: have conversations with friends and family, people on the street. Sometimes, right,

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Speaker 1: you support that person, then you must be a baby killer,

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Speaker 1: You must hate the poor, you must we don't we

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Speaker 1: Sometimes I hate that we split each other up as groups.

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Speaker 1: That way, you are still an American and still can

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Speaker 1: be a decent person no matter which one of these

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Speaker 1: people you actually support.

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Speaker 3: Yes, I agree.

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Speaker 2: So going after this specific candidate talking about policy differences

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Speaker 2: or even political styles, that's fine. But yes, when you

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Speaker 2: start grouping in the people who support Trump versus the

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Speaker 2: people who support Kamala Harris, that is not. That's where

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Speaker 2: we get into just I think that's when we fall

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Speaker 2: apart as a country.

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Speaker 3: Without a doubt.

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Speaker 1: At the beginning, it was long in the.

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Speaker 2: Bier you were wondering where she was going with this.

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Speaker 2: It was interesting. I don't know that I've ever heard

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Speaker 2: of presidential candidate talk about the kind of music she

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Speaker 2: likes to listen to growing up. But she got very

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Speaker 2: specific with how she was raised and the influences in

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Speaker 2: her life. And she was a great storyteller. She's obviously

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Speaker 2: a great prosecutor. She knows how to build a case,

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Speaker 2: and that's what she was doing. She was building a

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Speaker 2: case for herself. You know, That's what I was thinking

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Speaker 2: when I was listening to her. Wow, she knows how

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Speaker 2: to talk to a jury, she knows how to talk

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Speaker 2: to a judge, she knows how to win the room.

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Speaker 3: And that's what she was doing.

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Speaker 1: That's exactly what I thought, because you obviously, you and

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Speaker 1: I have been around and seen more prosecutors and attorneys,

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Speaker 1: probably more than most. But when it comes to listing

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Speaker 1: things and alliteration, she was absolutely prosecutorial. Yes, up there

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Speaker 1: on stage down, and it's very effective when you are

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Speaker 1: delivering a speech. I was looking, you know, I was texting.

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Speaker 1: I was texting Chuck last night about the speech, and

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Speaker 1: you're talking about it's kind of waiting on it to do.

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Speaker 3: People know what Chuck is, Uh, I don't know.

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Speaker 1: A friend of mine, friend of mine, and that was

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Speaker 1: my thing, and he's a very big supporter of Democrat

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Speaker 1: And I was like, what's going on here? Like, where

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Speaker 1: are we going with the speech? Three laughing emojis and

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Speaker 1: says be patient, motherfucker. This is what he wrote. I

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Speaker 1: wrote back, dude, now we're talking about daycare and Uncle Freddy.

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Speaker 1: To your point, she was talking about a lot of

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Speaker 1: things like specific.

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Speaker 2: Families, names of neighbors and yes, friends, what's going on?

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Speaker 1: And he throws back, it's early. Be patient, And sure

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Speaker 1: enough I had to say, Okay, she brought it out.

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Speaker 1: She did once she she put her story together, and

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Speaker 1: then once she started talking talking about she found a

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Speaker 1: stride and an energy and performative, she nailed it. Yeah,

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Speaker 1: I mean, you have to be a good performer.

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Speaker 2: When you just mentioned what Chuck sent to you the expletive, well,

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Speaker 2: that just reminded me. We heard Kamala Harris. Now I

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Speaker 2: feel bad, just say Kamala cursing. She in one of

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Speaker 2: the videos that led up to her, she dropped an

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Speaker 2: F bomb. They bleeped it out, and then she actually

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Speaker 2: when she quoted her mom said, asked right, half asked,

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Speaker 2: So that was you know, that was obviously true strategic

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Speaker 2: as well.

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Speaker 3: And my thought was that that was her being strong.

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Speaker 3: She was a badass. She's not some weak woman.

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Speaker 2: She's a she's a strong prosecutor, and she she can

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Speaker 2: talk the talk, she can walk the walk. I wondered

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Speaker 2: how many people that might have turned off, however, but

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Speaker 2: it was a choice.

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Speaker 1: But why if it was a choice, why for strength?

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Speaker 2: I think strength and curse. You know, there's just yeah,

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Speaker 2: I'm like you, I get down and dirty, edgy, know

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Speaker 2: how to Yeah, I know how to say what I

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Speaker 2: need to say when I need to say it, and

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Speaker 2: I won't back down.

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Speaker 3: It's just there's a there's a posturing to that. I think.

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Speaker 2: Yeah, I mean it's cathartic too, but yes, it's a

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Speaker 2: choice to do it on that stage.

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Speaker 1: I was surprised how little they talked about Joe Biden.

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Speaker 1: But now it makes sense, but I was still surprised.

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Speaker 2: Yeah, she thanked him right off the top. And did

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Speaker 2: we hear his name again? We did, actually, so I

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Speaker 2: was googling it because I never I was listening for it,

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Speaker 2: and I don't remember hearing her ever say his name again. Yep.

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Speaker 2: And no one really wrote anything about that, but it

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Speaker 2: definitely was notable.

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Speaker 1: She got it. She got everybody, all the dudes out

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Speaker 1: of the way. Thank you, husband, Doug, thank you, Joe Biden,

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Speaker 1: Thank you Tim, Tim Waltz. All right, let's get to

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Speaker 1: Kamala now. Yeah, then move right on. And I can

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Speaker 1: understand why I was still just with Joe Biden. That

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Speaker 1: was I guess I was anticipating her to say a

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Speaker 1: whole lot more in that regard, but it didn't happen.

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Speaker 1: And the thing, we watched a lot of coverage leading

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Speaker 1: up to her speed and it seemed like every few minutes,

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Speaker 1: some reporter on the floor was asking somebody in the

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Speaker 1: audience about the much anticipated special guests that was supposed

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Speaker 1: to come out last night. People were buzzing, was this

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Speaker 1: went nuts?

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Speaker 3: And it was all what was leading up to last night?

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Speaker 2: And then all through the night I was getting text

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Speaker 2: from someone who had a friend reporting and even they

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Speaker 2: from the convention floor in Chicago was saying that Beyonce

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Speaker 2: was waiting backstage and was about to come on stage.

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Speaker 3: That's high big.

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Speaker 2: The rumor had gotten that people reporters on the floor

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Speaker 2: were saying that Beyonce was in the wings, like was there?

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Speaker 3: And I was laughing when it never happened. And did

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Speaker 3: this all come about?

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Speaker 2: Because one someone on the Harris campaign tweeted something or

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Speaker 2: put a bee at the end of an ex a

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Speaker 2: tweet and everyone just inferred that meant that the beehive

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Speaker 2: Beyonce was going to be there.

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Speaker 1: I don't know there was before that. That was some

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Speaker 1: anonymous person on Twitter that something took off saying that

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Speaker 1: you thought was essentially saying you thought Oprah was big,

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Speaker 1: just way to coming next. How many people can you

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Speaker 1: count in the world that are going to be a

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Speaker 1: bigger deal than Oprah? Maybe not a whole lot, maybe one,

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Speaker 1: maybe two, but those two were talked about. There was

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Speaker 1: a lot of Taylor Swift, but the Beyonce one seemed real.

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Speaker 1: From what you're talking about. Was the White House political direction, Yes,

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Speaker 1: it is directors a big deal.

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Speaker 2: She claimed that her daughter got her phone and put

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Speaker 2: the bee emoji or I don't know there was the daughter.

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Speaker 2: I think actually that was pretty smart because people might

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Speaker 2: have just tuned in to see Beyonce.

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Speaker 1: Well, they were disappointed last night. The other thing that

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Speaker 1: finally was the final stamp on this is happening, TMZ

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Speaker 1: reported TMZ flat out came out and said Beyonce is

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Speaker 1: going to perform. They said she is in Chicago and

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Speaker 1: is going to perform at the DNC. Now credit to TMZ,

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Speaker 1: they have gained such a reputation when they say something,

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Speaker 1: I believe it because they were how many deaths have

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Speaker 1: they broken? How many stories have they broken? And absolutely

439
00:22:24,680 --> 00:22:27,840
Speaker 1: right when nobody else had a clue. So congrats to them.

440
00:22:27,840 --> 00:22:28,919
Speaker 1: But they got this one wrong.

441
00:22:29,440 --> 00:22:31,920
Speaker 2: I mean I think everyone did. I'm telling you, I

442
00:22:32,760 --> 00:22:37,240
Speaker 2: actually that was one of the biggest rumors that never happened.

443
00:22:38,240 --> 00:22:38,680
Speaker 3: It's true.

444
00:22:38,720 --> 00:22:42,080
Speaker 2: I can't think of something recently where more people got

445
00:22:42,119 --> 00:22:42,440
Speaker 2: it wrong.

446
00:22:42,560 --> 00:22:47,440
Speaker 1: Here you TMZ, and I quote Beyonce is in Chicago

447
00:22:47,680 --> 00:22:50,520
Speaker 1: and getting ready to pop out for Kamala Harris on

448
00:22:50,560 --> 00:22:54,240
Speaker 1: the final night of the DNC. TMZ has learned yep,

449
00:22:54,480 --> 00:22:57,960
Speaker 1: multiple sources in the know tell us she'll be the

450
00:22:58,000 --> 00:23:03,560
Speaker 1: big surprise performer. They absolutely say that it's a huge

451
00:23:03,560 --> 00:23:06,360
Speaker 1: deal for Harris and the party. But as in Chicago

452
00:23:06,440 --> 00:23:09,280
Speaker 1: were told Chicago PD is on high alert and it's

453
00:23:09,280 --> 00:23:12,320
Speaker 1: involved in security for Beyonce at the United Center Arena.

454
00:23:12,680 --> 00:23:15,560
Speaker 1: They reported that to their credit robes and we don't

455
00:23:15,560 --> 00:23:21,040
Speaker 1: see this enough. Nine thirty pm last night, they say,

456
00:23:22,080 --> 00:23:27,359
Speaker 1: to quote the great Beyonce, we gotta lay our cards down, down, down,

457
00:23:27,600 --> 00:23:29,920
Speaker 1: down down. We got this one wrong.

458
00:23:30,119 --> 00:23:32,560
Speaker 2: Yeah, and that is cool to see that, to read

459
00:23:32,560 --> 00:23:34,920
Speaker 2: that nobody doesn't nobody does that we.

460
00:23:34,920 --> 00:23:37,639
Speaker 1: Messed up, are bad Like TMZ is one of the

461
00:23:37,680 --> 00:23:41,040
Speaker 1: most respected news sources out there now because at least

462
00:23:41,080 --> 00:23:43,600
Speaker 1: if they get it wrong, they'll come back and say so,

463
00:23:43,640 --> 00:23:45,880
Speaker 1: I appreciate that. I appreciate it as well. But this

464
00:23:45,920 --> 00:23:48,240
Speaker 1: thing took off. It's all folks were talking about.

465
00:23:48,320 --> 00:23:50,040
Speaker 2: Oh it was. I was getting texts, like I said,

466
00:23:50,119 --> 00:23:56,000
Speaker 2: from from people who I know who insisted she was backstage.

467
00:23:56,160 --> 00:23:57,000
Speaker 1: I see her now.

468
00:23:57,440 --> 00:23:58,280
Speaker 3: I mean, that's kind.

469
00:23:58,200 --> 00:23:59,960
Speaker 2: Of what it seemed like to me. I was like, whoa,

470
00:24:00,000 --> 00:24:03,600
Speaker 2: oh wow, okay, this is happening. And it did not

471
00:24:03,880 --> 00:24:06,800
Speaker 2: and was not. But yeah, that kudos to TMZ for

472
00:24:06,800 --> 00:24:10,560
Speaker 2: for owning it and not even making an excuse about it,

473
00:24:10,640 --> 00:24:12,200
Speaker 2: just saying we got it wrong.

474
00:24:12,400 --> 00:24:15,560
Speaker 1: That's as simple as that. We would have tried to places.

475
00:24:16,000 --> 00:24:17,800
Speaker 2: Here's why because of this, and it's not really my

476
00:24:17,840 --> 00:24:19,720
Speaker 2: fault because this person told me and then that, so

477
00:24:19,720 --> 00:24:20,639
Speaker 2: what was I supposed to do.

478
00:24:21,160 --> 00:24:22,960
Speaker 3: It's actually a nice.

479
00:24:22,760 --> 00:24:26,800
Speaker 2: Reminder of the power of just saying I'm wrong or

480
00:24:26,920 --> 00:24:29,920
Speaker 2: I was wrong and not saying anything else, just leaving

481
00:24:29,960 --> 00:24:34,480
Speaker 2: it at that. Politicians could learn from that moment.

482
00:24:34,240 --> 00:24:37,320
Speaker 1: Teaching relationship lessons. Just own it. I'm sorry.

483
00:24:37,520 --> 00:24:42,119
Speaker 2: In marriages, relationships, politics, the rule applies everywhere.

484
00:24:42,680 --> 00:24:44,880
Speaker 3: Admit that you're wrong and move on.

485
00:24:46,520 --> 00:24:49,200
Speaker 1: Nailed it again. You give them credit, but to think

486
00:24:49,280 --> 00:24:52,560
Speaker 1: that we believe what TMZ says because they have been

487
00:24:52,640 --> 00:24:55,080
Speaker 1: right so often. And it didn't help that they said

488
00:24:55,080 --> 00:24:58,040
Speaker 1: that the they were like sound checks going on in

489
00:24:58,080 --> 00:25:02,800
Speaker 1: the convention center that was playing Beyonce's song Freedom.

490
00:25:02,520 --> 00:25:05,560
Speaker 2: Which which is the campaign song, campaign song, so it

491
00:25:05,600 --> 00:25:07,439
Speaker 2: makes sense too. I mean, that is the song that

492
00:25:07,480 --> 00:25:09,479
Speaker 2: has been playing, I believe one of when they were

493
00:25:09,520 --> 00:25:12,040
Speaker 2: asking about the rumors of whether or not Beyonce was

494
00:25:12,040 --> 00:25:15,719
Speaker 2: going to perform, one of the folks in Harris's campaign said, well,

495
00:25:15,720 --> 00:25:18,479
Speaker 2: Beyonce has been on every night because the song has

496
00:25:18,520 --> 00:25:22,479
Speaker 2: been playing throughout the entire convention, and certainly she's been

497
00:25:22,520 --> 00:25:24,480
Speaker 2: a part of it, just she wasn't physically there.

498
00:25:24,680 --> 00:25:27,720
Speaker 1: You know what I've been This is only me, maybe

499
00:25:27,800 --> 00:25:29,560
Speaker 1: some others, but you know how much I have been

500
00:25:29,600 --> 00:25:33,040
Speaker 1: into the old Drake and Kendrick back and for well, yes,

501
00:25:33,119 --> 00:25:35,720
Speaker 1: so to see the d I wasn't even thinking about it.

502
00:25:35,720 --> 00:25:38,440
Speaker 1: So I'm watching DNC coverage and then I hear Kendrick

503
00:25:38,560 --> 00:25:41,280
Speaker 1: rapping in the arena, because he, of course is the

504
00:25:42,840 --> 00:25:45,600
Speaker 1: guest artist on that song Freedom, so to hear I'm

505
00:25:45,600 --> 00:25:49,440
Speaker 1: hearing his voice pipe through the DNC on that song,

506
00:25:49,720 --> 00:25:53,399
Speaker 1: and I'm waiting for him to say mother F the

507
00:25:53,480 --> 00:25:55,560
Speaker 1: Big Three. It's just big me like I'm waiting for

508
00:25:56,359 --> 00:25:57,399
Speaker 1: That's where my head was.

509
00:25:57,480 --> 00:25:59,200
Speaker 3: But that don't happen either.

510
00:26:00,119 --> 00:26:09,960
Speaker 1: And do you know what, I've never heard of it before,

511
00:26:09,960 --> 00:26:11,800
Speaker 1: and I'm still trying to pieces together what the hell

512
00:26:11,840 --> 00:26:12,520
Speaker 1: is a soy boy?

513
00:26:12,880 --> 00:26:13,840
Speaker 3: So I had to google it.

514
00:26:13,960 --> 00:26:18,240
Speaker 2: You asked me, and I said unclear, and then it

515
00:26:18,359 --> 00:26:21,000
Speaker 2: made a little more sense when I and apparently this

516
00:26:21,040 --> 00:26:23,760
Speaker 2: phrase has been around for a while. But look, I

517
00:26:23,800 --> 00:26:26,880
Speaker 2: only really know about this because I'm a breast cancer survivor,

518
00:26:26,920 --> 00:26:29,919
Speaker 2: and there was a big concern that at one point

519
00:26:29,960 --> 00:26:32,840
Speaker 2: that if you are a breast cancer survivor specifically, you

520
00:26:32,840 --> 00:26:37,480
Speaker 2: should avoid soy products because they can produce an estrogen

521
00:26:37,600 --> 00:26:40,480
Speaker 2: like I think it's a plant estrogen, but it mimics

522
00:26:40,880 --> 00:26:44,240
Speaker 2: human estrogen in the body. To be clear, it is

523
00:26:44,320 --> 00:26:46,920
Speaker 2: not a danger and it is okay for any breast

524
00:26:46,960 --> 00:26:51,840
Speaker 2: cancer patients or survivor to have soy But however, the

525
00:26:51,840 --> 00:26:54,560
Speaker 2: implication is that there's estrogen involved. So when you call

526
00:26:54,600 --> 00:26:59,720
Speaker 2: someone a soy boy, you're saying they're feminine or a

527
00:26:59,760 --> 00:27:01,679
Speaker 2: base or less masculine.

528
00:27:01,760 --> 00:27:03,200
Speaker 3: Maybe at the very least.

529
00:27:03,320 --> 00:27:07,000
Speaker 1: I had, I had no idea. So trending last night

530
00:27:07,880 --> 00:27:10,159
Speaker 1: was this thing? What was it?

531
00:27:10,359 --> 00:27:17,800
Speaker 3: Home Ago oh tee, soy boy, so low teston Lowton testerone,

532
00:27:19,119 --> 00:27:20,679
Speaker 3: soy boy. Yeah.

533
00:27:20,720 --> 00:27:25,880
Speaker 1: And this has come about now because there's been this

534
00:27:26,000 --> 00:27:31,399
Speaker 1: whole talk this week about the Democratic Party of what

535
00:27:31,440 --> 00:27:35,160
Speaker 1: we've been seeing being too feminine, a lack of masculinity.

536
00:27:35,200 --> 00:27:38,560
Speaker 1: And I guess Dana Bash from CNN kind of set

537
00:27:38,640 --> 00:27:42,280
Speaker 1: all of this off in kind of describing the type

538
00:27:42,320 --> 00:27:47,080
Speaker 1: of men who would be supportive of Democrats or of

539
00:27:47,160 --> 00:27:49,720
Speaker 1: Kamala Harris versus the type of men who would be

540
00:27:49,720 --> 00:27:51,520
Speaker 1: supportive of Donald Trump.

541
00:27:51,640 --> 00:27:54,320
Speaker 2: Yeah, she said, they're talking about the DNC. They're they're

542
00:27:54,359 --> 00:27:57,639
Speaker 2: doing so trying to put forward male figures, Tim Waltz

543
00:27:57,640 --> 00:27:59,960
Speaker 2: being one of them. Doug m Hoff, who of course

544
00:28:00,359 --> 00:28:03,600
Speaker 2: is Kamala Harris's husband, who can speak to men out

545
00:28:03,600 --> 00:28:06,679
Speaker 2: there who might not be the sort of testosterone laden,

546
00:28:07,280 --> 00:28:10,000
Speaker 2: gun toting kind of guy who wants to listen to

547
00:28:10,080 --> 00:28:12,520
Speaker 2: Hulk Hogan and the kind of players that came out

548
00:28:12,840 --> 00:28:15,960
Speaker 2: of the RNC. Hulk Hogan, we all remember just a

549
00:28:15,960 --> 00:28:20,680
Speaker 2: few weeks ago at the RNC was up there and

550
00:28:20,960 --> 00:28:24,040
Speaker 2: in classic Hall Cogan fashion, ripped off his shirt. So

551
00:28:24,160 --> 00:28:26,879
Speaker 2: you know, she was comparing that to what we're seeing

552
00:28:26,920 --> 00:28:30,320
Speaker 2: the men. And so what I actually thought was pretty

553
00:28:30,359 --> 00:28:33,920
Speaker 2: funny was that one of the commentators on Fox said,

554
00:28:34,000 --> 00:28:37,919
Speaker 2: she literally said that Tim Waltz appeals to low te

555
00:28:38,120 --> 00:28:40,920
Speaker 2: beta males. What is funny is that both Democrats and

556
00:28:40,960 --> 00:28:45,320
Speaker 2: Republicans will cheer for this for completely opposite reasons. And

557
00:28:45,600 --> 00:28:48,480
Speaker 2: that actually is just so true.

558
00:28:48,680 --> 00:28:50,000
Speaker 1: And what are we doing?

559
00:28:50,240 --> 00:28:52,840
Speaker 2: I mean, why do we want to pigeonhole any man

560
00:28:52,960 --> 00:28:56,120
Speaker 2: or any group of men for one or the other.

561
00:28:56,240 --> 00:29:00,640
Speaker 1: We are trying to, on two sides define what masculine

562
00:29:00,880 --> 00:29:05,040
Speaker 1: is or should be. But the is it not all

563
00:29:05,160 --> 00:29:08,840
Speaker 1: of those things? Is there not one? I have to

564
00:29:08,880 --> 00:29:13,400
Speaker 1: be this rough and gruff dude, who does like this sport?

565
00:29:13,440 --> 00:29:16,320
Speaker 1: Who does like this type of beer? Who does have

566
00:29:16,360 --> 00:29:17,080
Speaker 1: a gun? Who?

567
00:29:17,600 --> 00:29:17,760
Speaker 2: Right?

568
00:29:17,800 --> 00:29:22,120
Speaker 1: Why? And I've seen guys in Central Park with matching

569
00:29:23,000 --> 00:29:27,360
Speaker 1: jogging suits pushing a double stroller. That's masculinity too, like

570
00:29:27,440 --> 00:29:29,320
Speaker 1: it all? Why are we saying it has to be this.

571
00:29:29,520 --> 00:29:33,480
Speaker 2: Or that, And I actually hope that this wasn't any

572
00:29:33,520 --> 00:29:36,840
Speaker 2: sort of implication, but it is frustrating, I will say,

573
00:29:37,360 --> 00:29:41,840
Speaker 2: to imply even that you need to be a beta

574
00:29:41,960 --> 00:29:45,040
Speaker 2: male or a low tea mail to be willing to

575
00:29:45,120 --> 00:29:48,880
Speaker 2: vote for a woman as president. And I think that

576
00:29:49,040 --> 00:29:52,040
Speaker 2: was part of it. And I don't that's something that

577
00:29:52,080 --> 00:29:54,200
Speaker 2: I think everyone should be offended by.

578
00:29:54,360 --> 00:29:56,360
Speaker 1: But it's going to be effective, is it not. And

579
00:29:56,400 --> 00:29:59,200
Speaker 1: certainly in some parts of the country she has been

580
00:29:59,240 --> 00:30:02,160
Speaker 1: talked about you plenty already folks that she does not

581
00:30:02,280 --> 00:30:05,000
Speaker 1: do well with men, or she needs to certainly do

582
00:30:05,080 --> 00:30:06,240
Speaker 1: better with men.

583
00:30:08,280 --> 00:30:10,960
Speaker 3: So now I don't know this helps, right, I mean,

584
00:30:10,960 --> 00:30:13,040
Speaker 3: if that's like the mantra that oh you know.

585
00:30:13,120 --> 00:30:15,440
Speaker 2: And also this is this concept of being like, you know,

586
00:30:15,520 --> 00:30:20,240
Speaker 2: the intellectual elite and you know, just subdued, like not

587
00:30:20,360 --> 00:30:23,080
Speaker 2: that not the alpha male who's out there you know,

588
00:30:23,160 --> 00:30:26,400
Speaker 2: on his ATV, in his camo. You know that that

589
00:30:27,520 --> 00:30:29,320
Speaker 2: all of those things can be true about one person.

590
00:30:29,360 --> 00:30:33,160
Speaker 2: It's just frustrating to any time we're trying to stereotype.

591
00:30:33,480 --> 00:30:37,960
Speaker 2: What also, what defines gender, what defines masculinity, what defines femininity?

592
00:30:38,240 --> 00:30:41,160
Speaker 2: It I just this is a dangerous place to go

593
00:30:41,240 --> 00:30:43,239
Speaker 2: when it comes to politics, especially when you have a

594
00:30:43,280 --> 00:30:44,840
Speaker 2: woman running for president.

595
00:30:44,560 --> 00:30:48,640
Speaker 1: And I seem to end, Look, this was the party

596
00:30:48,680 --> 00:30:50,600
Speaker 1: is now in the hands of a woman, of a

597
00:30:50,680 --> 00:30:54,960
Speaker 1: black woman, and you know what's that That's gonna take

598
00:30:55,040 --> 00:30:58,240
Speaker 1: probably some people a little while to get comfortable with,

599
00:30:59,240 --> 00:31:02,160
Speaker 1: and some people might not ever embrace that and ever

600
00:31:02,240 --> 00:31:05,600
Speaker 1: want to support that or even give give it a chance.

601
00:31:06,400 --> 00:31:10,600
Speaker 1: And certainly doesn't help when that party and that person

602
00:31:11,400 --> 00:31:17,040
Speaker 1: is telling you you, some estrogen filled dude, if you're

603
00:31:17,080 --> 00:31:19,400
Speaker 1: over here, then a lot of guys are going to say, well,

604
00:31:19,400 --> 00:31:22,040
Speaker 1: hell yeah, I'm solidly over here. They got to double

605
00:31:22,200 --> 00:31:26,520
Speaker 1: down on the masculinity on the other side. I just hey,

606
00:31:26,560 --> 00:31:28,080
Speaker 1: black folks like this, and a lot of groups to

607
00:31:28,200 --> 00:31:30,400
Speaker 1: be like, why are you trying to We can be this,

608
00:31:30,480 --> 00:31:33,200
Speaker 1: We can be that. Being black does not mean we

609
00:31:33,240 --> 00:31:36,200
Speaker 1: have this one particular black experience. It's a lot of things.

610
00:31:36,680 --> 00:31:38,760
Speaker 1: And now we're doing this with men. It was talked

611
00:31:38,800 --> 00:31:42,560
Speaker 1: about a lot because we end Carvill's old comments James Carvill,

612
00:31:42,640 --> 00:31:46,760
Speaker 1: what was it the what is a preachy women? They said?

613
00:31:46,760 --> 00:31:49,640
Speaker 1: The party, he said, the party is appears now like

614
00:31:49,720 --> 00:31:52,280
Speaker 1: a bunch of preachy women telling folks what to do,

615
00:31:52,600 --> 00:31:55,640
Speaker 1: or that it was an over feminization, something along those

616
00:31:55,680 --> 00:31:59,200
Speaker 1: lines is what he did say. Those comments came back up,

617
00:32:00,120 --> 00:32:05,520
Speaker 1: and Hey, I just don't want to have what we

618
00:32:05,560 --> 00:32:07,760
Speaker 1: talk about race politics, We talk about how we split

619
00:32:07,800 --> 00:32:09,320
Speaker 1: each other so often.

620
00:32:09,320 --> 00:32:10,320
Speaker 3: Now it's gender.

621
00:32:10,520 --> 00:32:13,280
Speaker 1: Now it's gender and sub gender.

622
00:32:13,680 --> 00:32:17,040
Speaker 3: You're right within the gender. What kind of man are you?

623
00:32:17,200 --> 00:32:20,440
Speaker 1: Yes, that's it. That's the line. What kind of man

624
00:32:20,480 --> 00:32:22,680
Speaker 1: are you? And that will determine who you vote for.

625
00:32:23,040 --> 00:32:25,960
Speaker 2: Unfortunately, I don't think this is going away. Oh it's

626
00:32:26,520 --> 00:32:31,280
Speaker 2: because especially yeah, especially if if the problem for Kamala

627
00:32:31,320 --> 00:32:35,880
Speaker 2: Harris is male voters. Oh, this is this is going

628
00:32:35,960 --> 00:32:39,280
Speaker 2: to get even bigger and unclear.

629
00:32:39,320 --> 00:32:41,880
Speaker 1: Of man are you? Where do you? Where do I

630
00:32:41,920 --> 00:32:46,600
Speaker 1: fall on that spectrum of masculinity?

631
00:32:46,680 --> 00:32:50,120
Speaker 2: You know what, It's cool because I actually think you

632
00:32:50,240 --> 00:32:53,360
Speaker 2: are like a classic example of being both. I mean,

633
00:32:53,600 --> 00:32:56,400
Speaker 2: watching you with Sabine and being a girl dad, I

634
00:32:56,440 --> 00:33:00,520
Speaker 2: see so many endearing qualities that aren't you know, you know,

635
00:33:00,680 --> 00:33:04,719
Speaker 2: gruff and tough, but they're kind and soft and gentle,

636
00:33:04,760 --> 00:33:06,520
Speaker 2: and I think I love that men can be all

637
00:33:06,560 --> 00:33:09,320
Speaker 2: those things. And of course you're extremely masculine in a

638
00:33:09,320 --> 00:33:11,680
Speaker 2: million other ways. So it's yeah. I mean, I just

639
00:33:11,720 --> 00:33:15,000
Speaker 2: think it's crazy you have camel pants on right now

640
00:33:15,000 --> 00:33:18,280
Speaker 2: as I'm looking at you, But that that's just this,

641
00:33:18,600 --> 00:33:23,760
Speaker 2: it's just a silly I won't but you do have

642
00:33:23,800 --> 00:33:28,400
Speaker 2: camel pants on right now. Yeah, you embody so much

643
00:33:28,440 --> 00:33:31,760
Speaker 2: of what you know that masculinity.

644
00:33:31,040 --> 00:33:32,440
Speaker 3: Is, but also there's femininely.

645
00:33:32,480 --> 00:33:35,520
Speaker 2: We all have all like I'm not I'm not you know,

646
00:33:36,400 --> 00:33:39,320
Speaker 2: a girly girl or you know it's I just think

647
00:33:39,320 --> 00:33:41,200
Speaker 2: that's so silly when we start pointing fingers like that

648
00:33:41,280 --> 00:33:45,920
Speaker 2: and trying to dissect people, and especially in this era

649
00:33:46,040 --> 00:33:49,120
Speaker 2: we're in where gender, we've got non binary, we've got like,

650
00:33:49,280 --> 00:33:51,880
Speaker 2: let's like, can we please get off this now? I mean,

651
00:33:51,920 --> 00:33:54,160
Speaker 2: this is taking it to a whole other level.

652
00:33:54,960 --> 00:33:57,640
Speaker 1: Can you just be I'm a man and she's a woman,

653
00:33:57,880 --> 00:34:02,360
Speaker 1: and some people are both and some people whatever, and

654
00:34:02,400 --> 00:34:07,000
Speaker 1: it's kind of it's okay, Now I have to Now

655
00:34:07,040 --> 00:34:09,359
Speaker 1: I have to fill out the application further, I can't

656
00:34:09,400 --> 00:34:14,200
Speaker 1: just click mail.

657
00:34:13,719 --> 00:34:14,960
Speaker 3: Are you a soy boy.

658
00:34:16,920 --> 00:34:17,080
Speaker 1: Boy?

659
00:34:17,200 --> 00:34:20,120
Speaker 2: Are you a testoster? And Ron Leaden Man, Maybe it's

660
00:34:20,160 --> 00:34:22,000
Speaker 2: just I don't even know. I don't even know where

661
00:34:22,040 --> 00:34:22,640
Speaker 2: we're going with this.

662
00:34:22,960 --> 00:34:24,719
Speaker 1: That'll be talked about, but it was a hell of

663
00:34:24,719 --> 00:34:26,719
Speaker 1: a night for her. And it's the incredible part is

664
00:34:26,719 --> 00:34:32,360
Speaker 1: that kamal Aires, now, after we saw last night obviously

665
00:34:32,360 --> 00:34:34,800
Speaker 1: a celebration, there was history there, there was a lot happening.

666
00:34:35,640 --> 00:34:38,960
Speaker 1: But she not too long ago, was one of the

667
00:34:39,000 --> 00:34:42,680
Speaker 1: most unpopular vice presidents we have ever no excuse me,

668
00:34:43,000 --> 00:34:47,880
Speaker 1: in history. She has pulled lower than Dick Cheney in

669
00:34:47,960 --> 00:34:50,120
Speaker 1: terms of popularity. And at the end of last year

670
00:34:50,160 --> 00:34:53,680
Speaker 1: she was around thirty five thirty six percent approval. That

671
00:34:53,840 --> 00:34:58,319
Speaker 1: is wildly low, just at the end of last year.

672
00:34:58,360 --> 00:35:00,680
Speaker 1: And to think now it's turned around to this point

673
00:35:00,719 --> 00:35:04,040
Speaker 1: that they didn't want him so much that they went

674
00:35:04,040 --> 00:35:06,720
Speaker 1: they were talking about kicking her off the ticket because

675
00:35:06,719 --> 00:35:08,640
Speaker 1: she would drag the ticket down because of her low

676
00:35:08,640 --> 00:35:14,600
Speaker 1: approval approval rating. That was eight nine months ago, and

677
00:35:14,640 --> 00:35:16,520
Speaker 1: here we are. This is all incredible. You never know,

678
00:35:16,600 --> 00:35:18,160
Speaker 1: she said it at some point and Robes you and

679
00:35:18,200 --> 00:35:20,719
Speaker 1: I could talk about there's plenty you do not know

680
00:35:21,440 --> 00:35:23,160
Speaker 1: what your journey is going to be to get you

681
00:35:23,200 --> 00:35:25,000
Speaker 1: to where you're supposed to be. It might not look

682
00:35:25,040 --> 00:35:27,480
Speaker 1: like you want it, it might not be traditional. Look

683
00:35:27,520 --> 00:35:29,399
Speaker 1: at all that had to happen for her to get

684
00:35:29,440 --> 00:35:32,600
Speaker 1: to where she is embrace the moment, and she did. Yeah.

685
00:35:32,760 --> 00:35:36,560
Speaker 2: She actually said throughout her campaigns for attorney general, etc.

686
00:35:36,880 --> 00:35:38,480
Speaker 3: That she was always.

687
00:35:39,640 --> 00:35:45,440
Speaker 2: Always underconsidered and people didn't expect her to do as

688
00:35:45,480 --> 00:35:47,560
Speaker 2: well as she did. And you know, that's not always

689
00:35:47,560 --> 00:35:49,600
Speaker 2: a bad position to be in. When people don't expect

690
00:35:49,680 --> 00:35:51,880
Speaker 2: much from you, you can wow them.

691
00:35:51,920 --> 00:35:53,680
Speaker 3: And that's what she did last night for sure.

692
00:35:54,040 --> 00:35:56,560
Speaker 2: And you know, she's like, I've always been underestimated and

693
00:35:56,960 --> 00:35:59,120
Speaker 2: look at us now, and I think they did a

694
00:35:59,120 --> 00:36:01,520
Speaker 2: really good job I hate to say this of humanizing her,

695
00:36:01,560 --> 00:36:03,879
Speaker 2: but you know, we saw that happening at the RNC

696
00:36:04,000 --> 00:36:06,879
Speaker 2: with Trump and his family members coming up and having

697
00:36:07,040 --> 00:36:10,080
Speaker 2: very impressive children and grandchildren. So you're like, okay, you

698
00:36:10,120 --> 00:36:11,680
Speaker 2: know I mean, and you just see them as humans.

699
00:36:11,719 --> 00:36:13,839
Speaker 2: You don't see them just as these politicians who were

700
00:36:14,960 --> 00:36:17,399
Speaker 2: rattling off talking points, but you actually see the human

701
00:36:17,440 --> 00:36:18,880
Speaker 2: side of them. They did a really good job of

702
00:36:18,880 --> 00:36:22,160
Speaker 2: that last night as well with Kamala Harris. And you

703
00:36:22,200 --> 00:36:25,120
Speaker 2: know what, I will say this after watching this speech

704
00:36:25,160 --> 00:36:28,920
Speaker 2: her speech last night, we watched Trump's speech, was it

705
00:36:28,960 --> 00:36:32,480
Speaker 2: was a long, long night. We watched Trump's speech as well,

706
00:36:32,520 --> 00:36:35,200
Speaker 2: and I thought he did a very good job I

707
00:36:35,320 --> 00:36:37,359
Speaker 2: was very impressed with his speech as well. So I

708
00:36:37,400 --> 00:36:40,680
Speaker 2: am very much looking forward to September tenth, how about you.

709
00:36:41,480 --> 00:36:44,719
Speaker 1: That's everything. September tenth has to be. The election is

710
00:36:44,760 --> 00:36:47,759
Speaker 1: going to be decided that day, quite possibly. And look,

711
00:36:47,760 --> 00:36:50,080
Speaker 1: we always talk about inn October surprise. We've seen it plenty.

712
00:36:50,160 --> 00:36:51,560
Speaker 1: There's plenty that's going to happen. She's going to get

713
00:36:51,600 --> 00:36:54,640
Speaker 1: a bump after this, all the polling. I'm looking as

714
00:36:54,640 --> 00:36:59,280
Speaker 1: we were talking and just all glowing news alerts. Everybody's

715
00:36:59,280 --> 00:37:00,960
Speaker 1: going to be getting this more about how great she

716
00:37:01,000 --> 00:37:04,279
Speaker 1: did and how wonderful it was and contrasting Trump, and

717
00:37:04,360 --> 00:37:06,800
Speaker 1: she is about to get a pretty decent bump. What

718
00:37:06,840 --> 00:37:08,239
Speaker 1: do they say, three to five point something.

719
00:37:08,560 --> 00:37:12,200
Speaker 2: Yeah, And that happens almost with every convention. And the

720
00:37:12,280 --> 00:37:14,239
Speaker 2: question is how long will it last? Will it last

721
00:37:14,239 --> 00:37:16,440
Speaker 2: seventy days? Most certainly not.

722
00:37:17,520 --> 00:37:19,760
Speaker 1: All this stuff's coming and just it's what it goes,

723
00:37:19,800 --> 00:37:22,879
Speaker 1: these things, evan flow. So she's having her moment, and

724
00:37:22,920 --> 00:37:24,759
Speaker 1: it's good that she had it.

725
00:37:24,920 --> 00:37:28,080
Speaker 2: And so here we go September tenth. I think we

726
00:37:28,120 --> 00:37:29,919
Speaker 2: know what we're doing that night, as will the rest

727
00:37:29,920 --> 00:37:31,600
Speaker 2: of the country. And I do think what you said

728
00:37:31,640 --> 00:37:34,440
Speaker 2: is true and especially think about it. That debate ended

729
00:37:34,520 --> 00:37:39,520
Speaker 2: Joe Biden's presidential run, It ended his political career, and

730
00:37:39,760 --> 00:37:42,640
Speaker 2: those debates matter and they mean something. And I think

731
00:37:42,760 --> 00:37:47,440
Speaker 2: especially now when people a lot of people are undecided,

732
00:37:47,840 --> 00:37:52,719
Speaker 2: and that debate will most likely be the reason why

733
00:37:52,760 --> 00:37:56,160
Speaker 2: people vote for either Donald Trump or Kamala Harris.

734
00:37:56,360 --> 00:37:59,480
Speaker 1: So, folks, we always appreciate you hanging with us, listening

735
00:37:59,520 --> 00:38:02,520
Speaker 1: for a bit. Found us on our official show page

736
00:38:02,560 --> 00:38:06,439
Speaker 1: on Instagram, at Amy and TJ Podcast. But for now

737
00:38:07,600 --> 00:38:11,640
Speaker 1: history made. They were expecting two black women last night,

738
00:38:11,760 --> 00:38:14,240
Speaker 1: only one showed up. Sorry, behive