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Speaker 1: Welcome to the Tutor Dixon Podcast. We are here to

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Speaker 1: chat about the debate. I have Kyle Olsen here with

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Speaker 1: me and Sarah Broadwater. First, I do want to recognize

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Speaker 1: this day. It is nine to eleven, the anniversary of

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Speaker 1: the horrific terror attacks on the United States of America.

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Speaker 1: And of course we all remember that. I was talking

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Speaker 1: to Sarah this morning. She's a little bit younger than us,

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Speaker 1: so obviously she has a different perspective of it from

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Speaker 1: when she was in grade school. I want to get

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Speaker 1: into that, but first I want to talk about IFCJ.

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Speaker 1: They are also coming upon a terrible marker and we're

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Speaker 1: approaching the one year mark of the horrific events of

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Speaker 1: October seventh in Israel. The International Fellowship of Christians and

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Speaker 1: Jews invites you to join them in flags of Fellowship.

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Speaker 1: It's an opportunity for Christians to remember the victims, honor

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Speaker 1: the heroes, pray for those who are still held hostage,

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Speaker 1: and highlight the unwavering support of Christians for Israel and

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Speaker 1: the Jewish people. On October six thousands of Christians will

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Speaker 1: be praying for those impacted by the war and planting

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Speaker 1: flags across America to honor the victims of October seventh.

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Speaker 1: Join us in letting the world know that Christians stand

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Speaker 1: with Israel. Your generous donation today will not only provide

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Speaker 1: a flag symbolizing your support in churchyards across America, but

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Speaker 1: it will also support the Fellowship's ongoing emergency efforts in

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Speaker 1: the Holy Land. We cannot stay silent, We cannot stay

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Speaker 1: on the sidelines as anti Semitism spreads like wildfire. Israel

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Speaker 1: needs you now visit SUPPORTIFCJ dot org to stand in

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Speaker 1: solidarity with the Jewish people. That's one word, it's the website.

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Speaker 1: Support IFCJ dot org again, Support IFCJ dot org. Go

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Speaker 1: there today and join me in supporting our friends over

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Speaker 1: in Israel. And you know, as I think about that

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Speaker 1: day that we're coming up upon a year anniversary, I

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Speaker 1: think I think about nine to eleven and what happened

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Speaker 1: that day. I think everybody, no matter who you are,

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Speaker 1: you know where you were that day. And for me,

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Speaker 1: I had actually just moved out of New York City.

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Speaker 1: My sister was still in New York City and it

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Speaker 1: was you know, you have to remember, this is like

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Speaker 1: before cell phones. Really, it's before smartphones, before you could

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Speaker 1: ever you could just access information at your fingertips. And

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Speaker 1: I was commuting into Chicago. I lived in the suburbs.

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Speaker 1: I was commuting into the city and I remember I

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Speaker 1: had just gotten off the train and I was on

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Speaker 1: the bus and there was no news. They didn't have

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Speaker 1: the radio on. We're just riding in silence, like every

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Speaker 1: other day. And I was in the third tallest building

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Speaker 1: in Chicago. I worked on the fifty third floor of

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Speaker 1: the third tallest building, and as I walked up to

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Speaker 1: the building, there was a chain of police around the

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Speaker 1: building and it was so incomprehensible. I remember trying to

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Speaker 1: walk through them and they were like, you can't come

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Speaker 1: in this building. And I couldn't even comprehend it. And

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Speaker 1: my mind was like, no, I have to go to work.

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Speaker 1: And I remember saying that to the police officers, now

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Speaker 1: I have to work. I have to get to work,

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Speaker 1: and he said, you're not working today, ma'am. So I

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Speaker 1: get back on the bus and just hearing the radio

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Speaker 1: that day, that's all I mean. It was like, you know,

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Speaker 1: it's all you can hear. And hearing the radio, they

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Speaker 1: say the first tower has just fallen, and honestly, I

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Speaker 1: couldn't even imagine what that meant. I couldn't visualize it.

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Speaker 1: None of us could. We're sitting on the bus, like,

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Speaker 1: what are they talking about? A plane hit the World

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Speaker 1: Trade Center? Is this a cellphone tower? Could not even

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Speaker 1: comprehend that this was a tower. And get I get

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Speaker 1: back to the suburbs and I get off the train

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Speaker 1: and I called my mom. My mom said, we haven't

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Speaker 1: heard from your sister. We don't know what's going on.

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Speaker 1: My mom came over to my house and we sat

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Speaker 1: all day and watched the coverage and got a hold

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Speaker 1: of my sister. She was still in her apartment, was uptown,

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Speaker 1: and she I will never forget her saying that it

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Speaker 1: was like watching zombies come from downtown, just walking. Nobody

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Speaker 1: was on public transit. Everybody was just walking for miles

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Speaker 1: to get away from that. And I just remember that

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Speaker 1: sense of pride in our country after that day, So

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Speaker 1: many people just wanted to defend America. And I see

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Speaker 1: where we are today, and it's you know, we're not

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Speaker 1: even twenty five years away from that, and how different

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Speaker 1: the feelings are, and I just want people to remember

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Speaker 1: that we are all Americans.

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Speaker 2: Yeah. I was working in Lansing at a trade Association,

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Speaker 2: and I remember, you know, you're talking about no cell phones,

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Speaker 2: that we were trying to get on to CNN dot

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Speaker 2: com and it was we had got the the initial

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Speaker 2: story of the first plane and there's a picture, there's

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Speaker 2: a picture of it. But then the website crashed and

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Speaker 2: so then I remember we were all down in the

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Speaker 2: basement of the association, you know, watching this on TV.

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Speaker 2: And of course it was not a you know, very

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Speaker 2: fancy TV and but it was just, you know, it

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Speaker 2: was confusion, and it was you know, people trying to

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Speaker 2: not doubt in the sense that it was happening, but

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Speaker 2: how could that happen? And it must have been an

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Speaker 2: accident or you know, or it must have been fog

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Speaker 2: or something. And but then to see see it unfold,

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Speaker 2: not just the day, but the response, and you know,

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Speaker 2: you it's amazing to be you know, twenty three years

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Speaker 2: later and think about, you know, how, for as much

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Speaker 2: as they are maligned today, how important I think George W.

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Speaker 2: Bush and Rudy Giuliani were in that moment with the

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Speaker 2: clarity and the leadership and the determination, you know, it

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Speaker 2: just seems to me like they were in they were

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Speaker 2: there for that moment and responded well.

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Speaker 1: In the heroism of that day and the stories that

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Speaker 1: came out for weeks afterward of you know, the flight

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Speaker 1: in Pennsylvania, the lives that were saved by those people

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Speaker 1: who chose to take that plane down rather than allow

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Speaker 1: those hijackers to do what their plan was, and who knew.

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Speaker 1: We don't even know who they saved. We don't even

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Speaker 1: know how many people they saved. But true heroes and

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Speaker 1: the heroes of the men who ran into that building,

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Speaker 1: the men and women, the firefighters, the police. It's just

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Speaker 1: when you look back on that day, it is filled

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Speaker 1: with people who selflessly ran into a burning building and

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Speaker 1: said we'll do whatever.

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Speaker 2: Yeah, and people didn't know what was going on, and

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Speaker 2: of course, you know, there wasn't Twitter, there was not

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Speaker 2: immediate you know, sort of dissemination of information. But the

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Speaker 2: amount of people that selflessly served and protected people in

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Speaker 2: New York, it's I mean, those those stories, you know,

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Speaker 2: never get old and can never be I think overestimated.

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Speaker 3: So you talk about how I was much younger, so

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Speaker 3: I have a different experience. I mean I was in

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Speaker 3: fourth or fifth grade at the time, I think, and

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Speaker 3: I remember we got let out of school early, but

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Speaker 3: we didn't. I mean, I didn't know why, but I

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Speaker 3: distinctly remember my mom having to come and we had

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Speaker 3: like show ID. It was a whole process to get

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Speaker 3: out of school. And then I just remember coming home

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Speaker 3: and sitting and literally my mom put us in the

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Speaker 3: living room and we watched on Loop all day, and

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Speaker 3: so all I remember is the image of the plane

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Speaker 3: just crashing into that building over and over and over again.

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Speaker 3: My little sister had just been born in August of

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Speaker 3: two thousand and one, and so it's kind of one

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Speaker 3: of those things where I feel like I put it

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Speaker 3: together in the years after, because I talked to my

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Speaker 3: mom about it and my dad too, and they're like,

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Speaker 3: we sat there with a newborn baby right after this happened,

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Speaker 3: and we thought, what have we done? Why did we

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Speaker 3: bring another child into this world? Like what is going

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Speaker 3: on right now? But I think about it as like

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Speaker 3: you talk about George W. Bush, and I know people

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Speaker 3: have a lot of mixed opinions on him, but I

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Speaker 3: mean what I was nine years old at the time,

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Speaker 3: and I remember George W. Bush going out in the

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Speaker 3: rubble and like going and talking to those guys, and

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Speaker 3: so I always grew up thinking like this is how

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Speaker 3: it's supposed to be. Like I grew up with the

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Speaker 3: grandpa that was a World War two bet and then

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Speaker 3: I saw that, and I always just kind of assumed, like,

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Speaker 3: this is what American pride is supposed to look like.

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Speaker 3: So when I see things now, it's just like it's

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Speaker 3: very hard for me to comprehend that that's not what

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Speaker 3: it's like anymore, because that's what I grew up with,

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Speaker 3: is like that. And that's when I was going into

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Speaker 3: middle school all that time where you start to really

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Speaker 3: learn about that stuff, and I just think I saw

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Speaker 3: it as no different. I was like, this is how

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Speaker 3: America acts.

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Speaker 1: But the beauty of that baby in your mom's arms

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Speaker 1: is that today she lives in New York City. Yes,

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Speaker 1: And that just means that we won, We fought back,

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Speaker 1: We preserved the things that are beautiful in this country.

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Speaker 1: And New York City is one of those places that

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Speaker 1: is unlike any place else on earth, and you can

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Speaker 1: achieve your American dream there and we are not going

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Speaker 1: to ever back down to terrorists. And I think, you know,

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Speaker 1: that really brings us to last night, because that was

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Speaker 1: something that I don't think that Kamala Harris was hit

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Speaker 1: hard enough on We are in a September tenth situation

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Speaker 1: in this country right now because of the Harris Biden

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Speaker 1: administration that have left borders open, and you're going to

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Speaker 1: hear a lot of people people today saying, oh, yeah,

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Speaker 1: he wasn't strong enough on the border, and he could

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Speaker 1: have pushed her here and he could have pushed her there.

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Speaker 1: Well wait a minute, wait a minute, let us be

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Speaker 1: honest about what happened last night. Because they started out

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Speaker 1: with the economy Blue passed Kamala Harris on it, just blue,

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Speaker 1: I mean, never said anything about that, then spend almost

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Speaker 1: fifteen minutes on abortion, and they hammered him on immigration

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Speaker 1: and not her. They went after him and said, you

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Speaker 1: stopped this bill from going through. Well, for first of all,

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Speaker 1: who is going to admit that a former president can

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Speaker 1: go in and whip votes better than them, but Kamala Harris,

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Speaker 1: who's apparently very weak. And secondly, you have bipartisan opposition

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Speaker 1: to that bill, a bill that would enshrine in law

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Speaker 1: that you can have people crossing the border at a

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Speaker 1: time when we are in the most danger we've ever seen.

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Speaker 1: And that's not coming from me, that's coming from Christopher Ray,

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Speaker 1: who says, this is we are on the brink of

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Speaker 1: a is there's red flags everywhere, we are on the

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Speaker 1: brink of another terrorist attack. And here we are, on

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Speaker 1: September eleventh, talking about a debate where no one addressed that.

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Speaker 1: No one addressed the fact that terrorists have been let

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Speaker 1: into this country, and we know it, we know they've

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Speaker 1: been let into this country. They let her off on that.

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Speaker 1: They let her off on the fact that she wants

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Speaker 1: to sign a bill that would enshrine illegal immigration on

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Speaker 1: a daily basis into law, instead of fighting back against it.

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Speaker 3: It was a debate specifically designed to make her look

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Speaker 3: just moderately good and to rile him up. I mean

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Speaker 3: that's because you said they started on the economy, and

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Speaker 3: I actually think the start of the debate he got

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Speaker 3: off to a strong start. She fumbled, She was very

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Speaker 3: nervous at the beginning, and then they saw that and

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Speaker 3: they pivoted to abortion. Then you know, they go through

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Speaker 3: fifteen minutes of abortion, and I can't remember what the

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Speaker 3: next topic was, but it might have been immigration or

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Speaker 3: the border, and he kind of finds his footing again

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Speaker 3: for a minute. Then they go to January sixth, and.

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Speaker 1: So it was like they specifically set it up again

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Speaker 1: on abortion full of lies. Yes, like they're you know,

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Speaker 1: they're like, well, you are the reason that this is happening.

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Speaker 1: And she goes through all of these you know, women

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Speaker 1: across the country are dying, they can't get healthcare, and

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Speaker 1: nobody says, well, that's not the statistic. The minute he

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Speaker 1: says they want abortion up to the moment of birth,

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Speaker 1: they don't go to her and say, is there a

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Speaker 1: yes or no there? Do you want abortion up to

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Speaker 1: the moment of birth? They gave him two yes or nos,

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Speaker 1: which are just bs things to do during a debate.

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Speaker 1: Dessant has handled it the best when he was debating

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Speaker 1: the other Republican candidates because he said, we're not doing that.

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Speaker 1: We're not doing that. And I wish Trump had said

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Speaker 1: that too, because you don't give him yes or nos

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Speaker 1: and not her yet. But I just don't think you

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Speaker 1: give a yes or no. I think you let somebody

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Speaker 1: explain their position. But also on abortion, I want to

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Speaker 1: be clear, and they said nobody is killing babies after birth.

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Speaker 1: Kamala Harris voted against the Born Alive Protection Act. That

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Speaker 1: means if you have a botched abortion, which you do,

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Speaker 1: and don't tell me you don't, because you do. If

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Speaker 1: you have a botched abortion and that baby is born alive,

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Speaker 1: they are not protected. They're murdered. They are murdered. And

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Speaker 1: that has happened in Tim Wall's Minnesota multiple times. And

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Speaker 1: nobody said, well, actually, actually, miss Harris, you do allow this.

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Speaker 1: You do allow murder. And she said and she turned

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Speaker 1: to him and she said, there is no woman that

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Speaker 1: has an abortion in the third trimester. Also a lie.

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Speaker 1: I mean, it may not be the highest number, just

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Speaker 1: like it's not the highest number on the other side

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Speaker 1: of rape and incest, but if you're gonna fact check one,

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Speaker 1: you gotta fact check the other. She had no fact

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Speaker 1: checks last night.

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Speaker 2: And well, and so I guess what did you really expect?

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Speaker 2: Because ABC, you know Trump leading up to the debate,

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Speaker 2: he was attacking ABC rightly, so probably, but they agreed

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Speaker 2: to that debate. They meeting the Trump campaign, they agreed

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Speaker 2: to the terms, and I assume they agreed to the moderators.

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Speaker 2: I don't know, but yeah, it was. It was three

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Speaker 2: on one. And I don't want to make excuses for

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Speaker 2: what transpired last night, but it was three on one.

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Speaker 2: And the way that they would pose questions to him,

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Speaker 2: which of course were you know, intended to put him

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Speaker 2: on defense or you know, force him to answer for something,

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Speaker 2: and then they would go to her and say, what

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Speaker 2: is your response to that? So then she just piled.

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Speaker 1: On and it didn't happen the other way.

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Speaker 2: No, correct, And so there were a couple times where

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Speaker 2: they challenged him on what he was saying. But there

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Speaker 2: were two very blatant lies. There were many, but there

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Speaker 2: were two very blatant lies that she told. One was

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Speaker 2: her depiction of Charlottesville and what Trump said about, you know,

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Speaker 2: people people on both sides. She repeated that lie that

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Speaker 2: of course came from Joe Biden because he still talks

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Speaker 2: about that. That's been totally debunked. And then the other

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Speaker 2: one was his comment about a blood bath, and of

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Speaker 2: course he was referring to what would happen in the

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Speaker 2: auto industry if if Biden and Harris were re elected,

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Speaker 2: there would be an economic blood bath, which is a

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Speaker 2: very common term, but the way they have they have

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Speaker 2: spun it that they meaning Biden and Harris and the media,

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Speaker 2: which of course, you know, she.

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Speaker 3: Used blood bath as a term prior to.

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Speaker 2: Yes, it's a it's a normal term. They were spinning

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Speaker 2: that as if it's going to be some sort of

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Speaker 2: you know, civil war blood bath, and she again repeated

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Speaker 2: that lie, and they did not challenge her on that

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Speaker 2: at all. And those have been thoroughly debunked in the media.

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Speaker 2: And so it was. It was three on one, and

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Speaker 2: he was, in my opinion, he was defensive and he

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Speaker 2: was responding to her. He was not, in my opinion,

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Speaker 2: addressing what I think American people want to hear. And

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Speaker 2: it's not programs and giveaways. It's that we're going to

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Speaker 2: have secure borders, and here's how we're going to do it,

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Speaker 2: and we're going to have you know, decreased inflation, and

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Speaker 2: here's how we're going to do it, and all of

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Speaker 2: those very critical issues.

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Speaker 4: Let's take a quick commercial break. We'll continue next on

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Speaker 4: the Tutor Dixon podcast.

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Speaker 3: You brought up.

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Speaker 1: The bloodbath comment there were no discussions on EV mandates,

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Speaker 1: and you say you had you were for mandates, now

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Speaker 1: you've backtracked on mandates. How can you not specifically talk

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Speaker 1: about that when it affects so many people in this country.

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Speaker 1: I mean, effect an EV mandate affects everybody, but the

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Speaker 1: amount of union workers who are waiting to hear what

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Speaker 1: is actually going to happen with our industry? Is the

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Speaker 1: government going to dictate free markets and take away free markets?

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Speaker 1: Now essentially she you have said that you would take

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Speaker 1: away free markets in the past, Suddenly you are now

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Speaker 1: changing your position on that. No, there was no discussion

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Speaker 1: on that. That was not talked about at all. I

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Speaker 1: thought that was disgusting that she was not fact checked

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Speaker 1: on any of that.

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Speaker 3: He was fact checked over five times and she was zero.

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Speaker 3: Of course, I mean that was five times. That's what

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Speaker 3: my account was when there was still twenty minutes left

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Speaker 3: in the debate, so it's probably more than that.

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Speaker 1: It was shocking to me that they didn't fact check

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Speaker 1: her on anything. I mean, when she talked about that

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Speaker 1: he handed us a worldwide pandemic, they didn't even say anything.

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Speaker 1: She came out and she said he doesn't believe in

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Speaker 1: climate change, and Joe Biden and I believe that we've

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Speaker 1: seen all these weather events. We can stop these weather events.

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Speaker 1: I'm like, are you Jesus now, like you're kind of

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Speaker 1: calm the storm, Kama.

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Speaker 2: But see that's where I think you had said, you

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Speaker 2: know that he was better in the first part, and

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Speaker 2: she what clearly was nervous, she needed to drink of water.

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Speaker 2: The amount of times you could hear the you know,

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Speaker 2: audible noises from her mouth were disgusting. I also thought

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Speaker 2: that she was a silver lining for Trump. Was how

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Speaker 2: off putting and smug her mannerisms and her demeanor was.

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Speaker 2: I thought it was, you know, when she would put

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Speaker 2: her hand on her chin and she would have this

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Speaker 2: sort of like, you know, smirk on her face.

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Speaker 1: She rolled her eyes, which I think is a like

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Speaker 1: debate one oh one, don't roll your eyes, don't look annoy,

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Speaker 1: don't open your mouth and gasp. You know. All of

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Speaker 1: these bizarre behaviors were like the behavior that you you

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Speaker 1: never want to see from a woman. And I know

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Speaker 1: people are going to say, oh, don't say that, but

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Speaker 1: it's true. As a woman, you have to we all

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Speaker 1: know this. You have to behave differently in a situation

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Speaker 1: like that because of exactly what you said. And I

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Speaker 1: think a lot of men probably watched that and thought,

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Speaker 1: here she is wagging her finger at him. She's the

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Speaker 1: naggy wife, you know. And she was the one who

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Speaker 1: kept trying to interrupt. She was the one who kept

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Speaker 1: trying to yell across the stage at him, and I

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Speaker 1: just thought that that was a weird and kind of

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Speaker 1: pathetic look. But I think it's also the look of

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Speaker 1: someone who doesn't want to talk about their record and

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Speaker 1: doesn't want to talk about their plan. I mean, Sarah,

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Speaker 1: this morning, you said, well, she did talk about her

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Speaker 1: fifty thousand dollars for small businesses in her.

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Speaker 3: Child tax credit.

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Speaker 1: It's all she said. That's the only thing she and

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Speaker 1: there was no explanation of that. There's no there was

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Speaker 1: no discussion of what that actually meant, and us are

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Speaker 1: on it because they didn't want her to have to

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Speaker 1: talk about her policies. I mean another thing, I'll just

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Speaker 1: go back to the border for a second, because I

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Speaker 1: do feel like on this day we have to address

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Speaker 1: the danger that we are in. This is a woman

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Speaker 1: who compared Ice to the KKK. This is a woman

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Speaker 1: who said multiple times she wants to abolish ice. The

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Speaker 1: entire party, the entire Democrat Party. Gretchen Whitmer has come

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Speaker 1: out and said she thinks we should abolish ice. This

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Speaker 1: has been a theme throughout the Democrat Party. We are

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Speaker 1: sitting here on September eleventh, going are we safe? And

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Speaker 1: no one said to her last night we're on the

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Speaker 1: eve of September. We're on the eve of September eleventh.

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Speaker 1: You have multiple times called to abolish ice. Do you

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Speaker 1: still feel that way?

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Speaker 3: All she could do when Trump brought that stuff up

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Speaker 3: was scoff at it and do one of her facial expressions.

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Speaker 3: And I just don't think that's enough. So to your point,

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Speaker 3: why aren't the moderators stepping in any of that. I

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Speaker 3: just she got her little moment. I guess that she's

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Speaker 3: going to meme and put on TikTok of her. Just

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Speaker 3: talking about it reminded me actually of your debate with

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Speaker 3: Gretchen Whitmer, when she just goes, well, none of what

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Speaker 3: she just said is true, but then offers no explanation

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Speaker 3: as to why it's not true. It was the same

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Speaker 3: thing all over again with Kamala, where she just got off.

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Speaker 3: She could roll her eyes and she could do those things,

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Speaker 3: and the moderators took the eye roll as her answer

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Speaker 3: and like that was her explanation.

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Speaker 2: I thought the whole thing was what transpired. I thought

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Speaker 2: was completely predictable and avoidable. And she, you know, her

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Speaker 2: history is she was a prosecutor and an attorney general,

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Speaker 2: so that was she was going to attempt to prosecute

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Speaker 2: the case against Donald Trump, and she was going to

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Speaker 2: try to have those sorts of moments, you know, in

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Speaker 2: front of the jury where it's you know, persuadable and

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Speaker 2: you know effective. But I don't I don't know that

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Speaker 2: it was. I wish that he would have been more prepared.

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Speaker 2: He's seen very reactive and defensive. And again going back

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Speaker 2: to what we were just talking about, a lot of

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Speaker 2: the questions were designed to put him on defense and

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Speaker 2: then it just sort of they just sort of tossed

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Speaker 2: it to her and she got to pylon. But you

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Speaker 2: talked about ev mandates. Those are the sorts of things.

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Speaker 2: I mean, you've done debates. I have not. You've done debates.

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Speaker 2: You know that you have your basic things that you

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Speaker 2: definitely want to say, your points you definitely want to make.

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Speaker 2: And if it's getting late into the night and you

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Speaker 2: have not been able to make those, you find a

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Speaker 2: way to work him in. You go on offense. And

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Speaker 2: he didn't do.

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Speaker 1: That, and she was very much like I'm a new day.

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Speaker 1: And at the end I noticed she said I'm not

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Speaker 1: Donald Trump and I'm not Joe Biden. She made that separation.

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Speaker 1: She wanted to cut herself off from him, and they

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Speaker 1: allowed her to do it. They never went back to

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Speaker 1: her and said, actually you are it is Biden Harris,

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Speaker 1: and they didn't push back on her saying that they

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Speaker 1: let her get away with that. She also was very

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Speaker 1: much in this I'm joy, I'm the next, I'm the

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Speaker 1: new coming of you know, obviously she can stop storms,

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Speaker 1: so she's a.

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Speaker 3: Yeah, if you're stopping tornadoes, it's a new level.

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Speaker 1: Yeah.

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Speaker 3: I mean, I did think one of her moments You

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Speaker 3: talked about her being a prosecutor and wanting those moments,

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Speaker 3: and I think that was one of them, when Donald

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Speaker 3: Trump was railing on Joe Biden and she looked at

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Speaker 3: him and said, hey, you're not running against Joe Biden anymore.

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Speaker 3: And I thought that was kind of one of those.

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Speaker 3: She again was the reach had lines.

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Speaker 1: I mean, he brought up the I was going to

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Speaker 1: buy you a Maga hat, which she started the ridiculous

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Speaker 1: laughing about, and I thought she handled that in a

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Speaker 1: very strange way because she knows it's true. And I

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Speaker 1: thought that was actually her reaction to that was very

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Speaker 1: telling because she just laughed, Yeah, I've changed my positions

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Speaker 1: and I can get away with it. I mean the

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Speaker 1: fact that she comes out and she's suddenly like, I'm

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Speaker 1: a gun owner, I'll never take your guns away. Wait

434
00:24:06,720 --> 00:24:10,480
Speaker 1: a minute, how on earth does ABC not say at

435
00:24:10,480 --> 00:24:14,760
Speaker 1: that moment you have said multiple times that you want

436
00:24:14,800 --> 00:24:18,040
Speaker 1: to have a mandatory gun buyback, which we know is

437
00:24:18,080 --> 00:24:21,120
Speaker 1: not That sounds like such a nice thing. That's you're

438
00:24:21,640 --> 00:24:24,640
Speaker 1: required to get rid of your gun. She has been

439
00:24:24,920 --> 00:24:27,800
Speaker 1: strong on that, And where are the David Hoggs of

440
00:24:27,840 --> 00:24:29,840
Speaker 1: the world going, Well, wait a minute, who's this woman

441
00:24:30,080 --> 00:24:31,200
Speaker 1: and the Star support.

442
00:24:31,440 --> 00:24:34,120
Speaker 3: Just because you own a gun yourself does not mean

443
00:24:34,160 --> 00:24:36,960
Speaker 3: that you're not for everyone else having theirs taken away.

444
00:24:37,040 --> 00:24:40,760
Speaker 3: I mean always the people with protection themselves. It has

445
00:24:40,840 --> 00:24:43,120
Speaker 3: no bearing on whether or not her policy.

446
00:24:44,000 --> 00:24:46,679
Speaker 2: And why didn't the moderators when she said she's not

447
00:24:46,800 --> 00:24:50,640
Speaker 2: Joe Biden, Why didn't the moderators say, okay, give us

448
00:24:50,760 --> 00:24:55,400
Speaker 2: one of your positions or one of your policy ideas

449
00:24:55,600 --> 00:25:00,000
Speaker 2: that is different from his, or give us one policy

450
00:25:00,040 --> 00:25:03,440
Speaker 2: see that he has that you disagree with, because there

451
00:25:03,480 --> 00:25:06,440
Speaker 2: isn't one. And I saw maybe I shouldn't say this

452
00:25:06,480 --> 00:25:08,520
Speaker 2: because I don't know if it's true, but I saw

453
00:25:08,640 --> 00:25:12,359
Speaker 2: that her website is basically copied and pasted from his

454
00:25:13,200 --> 00:25:17,200
Speaker 2: so what is different? But no, of course the moderators

455
00:25:17,200 --> 00:25:19,320
Speaker 2: weren't going to do that, and Trump didn't do that,

456
00:25:19,960 --> 00:25:21,760
Speaker 2: So she just gets away with.

457
00:25:21,720 --> 00:25:27,680
Speaker 1: It, right, absolutely well. She also she I think they

458
00:25:27,720 --> 00:25:30,720
Speaker 1: talked about they went through his history. They did not

459
00:25:31,000 --> 00:25:33,520
Speaker 1: go through her history at all. They never questioned her

460
00:25:33,560 --> 00:25:38,840
Speaker 1: on anything. They were, oh, my goodness, Rov Wade January sixth,

461
00:25:39,080 --> 00:25:42,679
Speaker 1: and you're a criminal. I mean, this was him on

462
00:25:42,800 --> 00:25:45,320
Speaker 1: offense the entire night. They knew that if they could

463
00:25:45,320 --> 00:25:48,119
Speaker 1: get him in that position. And you know, you're on

464
00:25:48,240 --> 00:25:51,720
Speaker 1: stage in front of the entire world's not only the country,

465
00:25:52,080 --> 00:25:54,160
Speaker 1: You're on stage in front of the entire world. You're

466
00:25:54,160 --> 00:25:56,240
Speaker 1: supposed to be pointing out what you're going to do

467
00:25:56,280 --> 00:25:58,960
Speaker 1: differently than your opponent. You're not on trial. He was

468
00:25:59,000 --> 00:26:01,160
Speaker 1: on trial last night. This was a trial.

469
00:26:01,240 --> 00:26:01,720
Speaker 3: She was the.

470
00:26:01,680 --> 00:26:06,000
Speaker 1: Prosecutor, and those people were junior prosecutors. They were just

471
00:26:06,160 --> 00:26:08,880
Speaker 1: sitting there next to her there as a support system.

472
00:26:09,280 --> 00:26:12,800
Speaker 1: They never said to her. Wait a minute, let us

473
00:26:12,840 --> 00:26:18,000
Speaker 1: go back to the fact that in twenty twenty you

474
00:26:18,040 --> 00:26:22,159
Speaker 1: supported these rioters. You say you support small businesses. What

475
00:26:22,160 --> 00:26:24,879
Speaker 1: about the small businesses in Minnesota? What about all the

476
00:26:25,480 --> 00:26:28,919
Speaker 1: small businesses in Minneapolis, the billions of dollars worth of

477
00:26:28,960 --> 00:26:32,600
Speaker 1: damage that happened in that city. You have a running

478
00:26:32,640 --> 00:26:35,320
Speaker 1: mate whose wife said she opened the windows to watch

479
00:26:35,440 --> 00:26:37,480
Speaker 1: or to smell the city burning. You have a running

480
00:26:37,520 --> 00:26:41,520
Speaker 1: mate who paused at the most critical point for Minneapolis,

481
00:26:41,560 --> 00:26:45,280
Speaker 1: when Minneapolis needed him the most. He paused, are you

482
00:26:45,359 --> 00:26:48,320
Speaker 1: going to pause in the future when we're under attack?

483
00:26:48,960 --> 00:26:53,040
Speaker 1: Because you didn't just pause, You came out and said,

484
00:26:53,119 --> 00:26:56,440
Speaker 1: stay in the streets. Stay in the streets. She made

485
00:26:56,440 --> 00:26:59,160
Speaker 1: that statement, and they said that he said that Donald

486
00:26:59,200 --> 00:27:01,720
Speaker 1: Trump said the last nime. Oh that's not true. No, No,

487
00:27:02,160 --> 00:27:04,719
Speaker 1: that is true. And it was on her website up

488
00:27:04,800 --> 00:27:06,679
Speaker 1: until like a week ago, and I don't know, maybe

489
00:27:06,760 --> 00:27:10,159
Speaker 1: it's still there. About that fund that you can send

490
00:27:10,320 --> 00:27:13,080
Speaker 1: money to to make sure that you bail out the

491
00:27:13,119 --> 00:27:15,960
Speaker 1: bad guys. And she was saying, you go to jail,

492
00:27:16,040 --> 00:27:19,639
Speaker 1: we'll bail you out. Please donate to this fund for

493
00:27:20,000 --> 00:27:25,560
Speaker 1: the rioters who have destroyed people's small businesses, to bail

494
00:27:25,640 --> 00:27:27,920
Speaker 1: them out of jail and let them go back out

495
00:27:27,960 --> 00:27:30,160
Speaker 1: the next night and do it again, because we want

496
00:27:30,200 --> 00:27:32,760
Speaker 1: you out so you can stay in the streets. That's

497
00:27:32,760 --> 00:27:37,679
Speaker 1: what she said. No, accountability for her words, for her destruction,

498
00:27:38,160 --> 00:27:41,919
Speaker 1: for mass destruction in this country, destruction like we have

499
00:27:42,080 --> 00:27:44,800
Speaker 1: never seen. After those riots. I think there was something

500
00:27:44,880 --> 00:27:48,160
Speaker 1: like sixty three riots or something across the country. And

501
00:27:48,280 --> 00:27:51,440
Speaker 1: she was in a position of power as a senator.

502
00:27:51,560 --> 00:27:54,080
Speaker 1: Saint stay in the streets as someone who's who is

503
00:27:54,400 --> 00:27:57,119
Speaker 1: going to or she was running for president at the time.

504
00:27:57,680 --> 00:28:01,800
Speaker 1: She's out there telling people keep rioting. This is bolgoney?

505
00:28:02,600 --> 00:28:07,600
Speaker 1: Is she was? He mentioned you're for these sex changes,

506
00:28:07,800 --> 00:28:11,000
Speaker 1: these sex change operations for criminals. To me, it's the

507
00:28:11,000 --> 00:28:14,520
Speaker 1: most dangerous thing. You've got somebody who's committed a crime,

508
00:28:15,160 --> 00:28:18,000
Speaker 1: and it's like the movie Face Off. You're gonna change

509
00:28:18,040 --> 00:28:21,280
Speaker 1: their face and put them back into society. Their victims

510
00:28:21,320 --> 00:28:24,119
Speaker 1: won't know who they are, Like, are you kidding me?

511
00:28:24,240 --> 00:28:27,399
Speaker 1: We're gonna pay for that, because, let's be honest, she

512
00:28:27,680 --> 00:28:31,840
Speaker 1: wants taxpayers to pay to change the face of a

513
00:28:31,960 --> 00:28:36,879
Speaker 1: convicted criminal who has been convicted of horrendous crimes, so

514
00:28:36,920 --> 00:28:40,080
Speaker 1: we don't know who they are anymore. No way, no way.

515
00:28:40,880 --> 00:28:43,000
Speaker 3: It was a night of just like the greatest hits

516
00:28:43,000 --> 00:28:46,560
Speaker 3: for the Democrats. They got to go through exactly what

517
00:28:46,560 --> 00:28:49,040
Speaker 3: they wanted. If you watched how the media covered it,

518
00:28:49,200 --> 00:28:52,040
Speaker 3: whether it was on Twitter or afterwards. Then when they're

519
00:28:52,080 --> 00:28:54,600
Speaker 3: all live tweeting, because you know, every reporter has to

520
00:28:54,600 --> 00:28:57,520
Speaker 3: do their own little live tweet, it's very specific, I

521
00:28:57,560 --> 00:29:00,560
Speaker 3: mean clear what they specifically picked out. You know, the

522
00:29:00,600 --> 00:29:02,800
Speaker 3: abortion band question was like one of the first tweets

523
00:29:02,800 --> 00:29:05,360
Speaker 3: I saw from the majority of the Michigan based reporters.

524
00:29:05,360 --> 00:29:08,360
Speaker 3: For instance, they know like where the gravy chain is

525
00:29:08,400 --> 00:29:10,280
Speaker 3: for the Democrats, and that's what they just want to

526
00:29:10,320 --> 00:29:12,880
Speaker 3: keep hammering. So I'm curious to see. Obviously we're up

527
00:29:12,960 --> 00:29:15,400
Speaker 3: early today before the coverage comes out for most of

528
00:29:15,400 --> 00:29:17,840
Speaker 3: this or it's coming out right now. I'm curious where

529
00:29:17,840 --> 00:29:19,959
Speaker 3: they focus the issues because my sense is that it's

530
00:29:20,000 --> 00:29:22,240
Speaker 3: going to be all about Project twenty twenty five again.

531
00:29:22,600 --> 00:29:25,680
Speaker 3: Oh another, I mean, it's going to be all of

532
00:29:25,720 --> 00:29:28,800
Speaker 3: the things that the Democrats try to trap them on.

533
00:29:29,160 --> 00:29:33,120
Speaker 1: That was the Project twenty twenty five. Never did they

534
00:29:33,160 --> 00:29:36,960
Speaker 1: say he has said multiple times that's not his deal,

535
00:29:37,760 --> 00:29:40,000
Speaker 1: He's not into this, this is not what he's going

536
00:29:40,080 --> 00:29:44,000
Speaker 1: to do. She threw that out multiple times. She got

537
00:29:44,040 --> 00:29:46,880
Speaker 1: to go on her whole abortion rant, and I think

538
00:29:46,920 --> 00:29:50,920
Speaker 1: that was definitely planned by ABC. Is like you've got

539
00:29:50,920 --> 00:29:54,480
Speaker 1: a woman, she's going to be able to appeal to

540
00:29:54,520 --> 00:29:56,680
Speaker 1: all these young women. I mean, you sent us a

541
00:29:56,720 --> 00:30:00,640
Speaker 1: commercial yesterday that was horrifying to me, all these young,

542
00:30:01,080 --> 00:30:05,160
Speaker 1: young teenage girls who and I have a fifteen year old,

543
00:30:05,200 --> 00:30:07,240
Speaker 1: so to me, this is very specific. I've got a

544
00:30:07,240 --> 00:30:09,840
Speaker 1: thirteen year old and a fifteen year old, and these

545
00:30:09,880 --> 00:30:13,840
Speaker 1: girls are saying, we live in a country where we

546
00:30:13,880 --> 00:30:16,160
Speaker 1: have a one and six chance of being raped, and

547
00:30:16,800 --> 00:30:19,000
Speaker 1: there's a candidate out there that would force us to

548
00:30:19,040 --> 00:30:22,600
Speaker 1: have that baby. And I'm like, are we not going

549
00:30:22,600 --> 00:30:26,320
Speaker 1: to freak out about the fact that that many women

550
00:30:26,360 --> 00:30:28,239
Speaker 1: are in danger in this country, that we have that

551
00:30:28,280 --> 00:30:32,320
Speaker 1: big of a crime problem, and that you would use children?

552
00:30:32,920 --> 00:30:35,400
Speaker 1: You use children in a campaign. They literally said, we

553
00:30:35,480 --> 00:30:40,280
Speaker 1: can't vote, we're not old enough to vote, but politicians.

554
00:30:39,520 --> 00:30:40,160
Speaker 3: Will hurt us.

555
00:30:40,520 --> 00:30:42,760
Speaker 1: Oh they're hurting you already, honey.

556
00:30:43,000 --> 00:30:45,400
Speaker 3: It was very sick. Like I said, I got this

557
00:30:45,480 --> 00:30:48,040
Speaker 3: targeted digital ad and I immediately had to look it

558
00:30:48,080 --> 00:30:51,320
Speaker 3: up because I'm like, they're not using young girls to

559
00:30:51,520 --> 00:30:55,160
Speaker 3: advocate for abortion because they're afraid they're going to get raped.

560
00:30:55,240 --> 00:30:59,200
Speaker 3: It just I could not believe. It was sick that

561
00:30:59,200 --> 00:30:59,880
Speaker 3: that's what they do.

562
00:31:00,520 --> 00:31:04,440
Speaker 2: We'll have the Midwesterner, the Midwesterner dead news. We'll have

563
00:31:04,480 --> 00:31:06,920
Speaker 2: a story about that today, so you can go there

564
00:31:06,960 --> 00:31:10,520
Speaker 2: and find a story about that. But yes, you would

565
00:31:10,560 --> 00:31:12,920
Speaker 2: think most people would take a step back and say,

566
00:31:12,920 --> 00:31:16,120
Speaker 2: wait a minute, this is how dangerous Michigan is, This

567
00:31:16,200 --> 00:31:20,560
Speaker 2: is how dangerous America is. That our girls are under

568
00:31:20,600 --> 00:31:23,560
Speaker 2: this much threat. Maybe we should do something about that

569
00:31:24,440 --> 00:31:29,760
Speaker 2: instead of, you know, obsessing over abortion. But again, what

570
00:31:30,000 --> 00:31:33,440
Speaker 2: happened last night was predictable. You were talking about it

571
00:31:33,480 --> 00:31:36,880
Speaker 2: was the greatest hits. It was totally predictable. I mean,

572
00:31:37,000 --> 00:31:39,360
Speaker 2: it was predictable. They were going to bring up abortion

573
00:31:39,520 --> 00:31:42,239
Speaker 2: because you know, the Democrats are totally obsessed with that,

574
00:31:42,880 --> 00:31:44,680
Speaker 2: and they were going to bring up January sixth, and

575
00:31:44,720 --> 00:31:46,840
Speaker 2: they were in all of these you know other in

576
00:31:46,920 --> 00:31:52,960
Speaker 2: his you know his you know convictions and all of that.

577
00:31:52,960 --> 00:31:59,000
Speaker 2: That was totally predictable. And so prepare for that and

578
00:31:59,040 --> 00:32:04,880
Speaker 2: not just night. And I'm not buying the argument that

579
00:32:05,400 --> 00:32:08,320
Speaker 2: you know, what you're doing every day is preparation for

580
00:32:08,360 --> 00:32:08,840
Speaker 2: a debate.

581
00:32:08,960 --> 00:32:11,680
Speaker 4: Let's take a quick commercial break. We'll continue next on

582
00:32:11,720 --> 00:32:15,400
Speaker 4: the Tutor Dixon podcast.

583
00:32:16,680 --> 00:32:20,440
Speaker 1: You all were in debate prep with me, and the

584
00:32:20,480 --> 00:32:24,320
Speaker 1: reason that you do debate. Prep is so that you

585
00:32:24,480 --> 00:32:27,480
Speaker 1: have all of that information right at the tip of

586
00:32:27,520 --> 00:32:31,000
Speaker 1: your tongue when you get attacked on this or that

587
00:32:31,200 --> 00:32:33,640
Speaker 1: you know you're prepared. You know the questions they're going

588
00:32:33,720 --> 00:32:36,600
Speaker 1: to ask, and not because they give them to you

589
00:32:36,680 --> 00:32:40,440
Speaker 1: ahead of time. You go through every possible scenario. And

590
00:32:40,520 --> 00:32:43,880
Speaker 1: whether or not she had an inkling of the questions,

591
00:32:43,920 --> 00:32:47,240
Speaker 1: I mean, it was very strange the way her answers

592
00:32:47,240 --> 00:32:49,800
Speaker 1: were prepared for the exact questions that they had. I

593
00:32:49,800 --> 00:32:53,960
Speaker 1: will say that however, they prepared her, she is a prosecutor.

594
00:32:54,240 --> 00:32:57,719
Speaker 1: He was going up against a prosecutor. They needed to

595
00:32:57,760 --> 00:33:00,080
Speaker 1: think about the fact that this was going to be

596
00:33:00,200 --> 00:33:04,640
Speaker 1: a prosecution and she was going to be very well prepared.

597
00:33:05,320 --> 00:33:07,920
Speaker 1: I do think that there were times when you could

598
00:33:08,000 --> 00:33:10,240
Speaker 1: see that he was frustrated. You could see that he

599
00:33:10,280 --> 00:33:12,600
Speaker 1: didn't like the things that they were saying about him.

600
00:33:13,200 --> 00:33:17,160
Speaker 1: And I think that had you sat through those days

601
00:33:17,320 --> 00:33:23,960
Speaker 1: that we did of this question, and I mean very candidly,

602
00:33:24,320 --> 00:33:26,720
Speaker 1: there were Okay, they're going to ask you this question. No,

603
00:33:27,480 --> 00:33:30,200
Speaker 1: that's you didn't do a good job of answering that.

604
00:33:30,480 --> 00:33:34,120
Speaker 1: And it's because if you don't prepare for it, it

605
00:33:34,200 --> 00:33:38,160
Speaker 1: might not be right there. But if you know the answers,

606
00:33:38,800 --> 00:33:41,320
Speaker 1: you're going to be able to crush the competition.

607
00:33:41,640 --> 00:33:45,000
Speaker 3: And stylistically, we have to remember you have one to

608
00:33:45,040 --> 00:33:47,520
Speaker 3: two minutes, depending on what the rules of each debate are.

609
00:33:48,080 --> 00:33:50,920
Speaker 3: He's used to being, you know, going to a rally

610
00:33:50,920 --> 00:33:53,360
Speaker 3: and having two hours to make his case to the

611
00:33:53,400 --> 00:33:55,920
Speaker 3: American people, and he gets it all out there. But

612
00:33:56,000 --> 00:33:58,040
Speaker 3: it's different when you're on a debate stage and you

613
00:33:58,120 --> 00:34:01,200
Speaker 3: only have one minute or two minutes. I mean, that's

614
00:34:01,240 --> 00:34:04,160
Speaker 3: the importance of the practice aspect of this, because it

615
00:34:04,240 --> 00:34:07,160
Speaker 3: has to become second nature and you have to know

616
00:34:07,320 --> 00:34:09,680
Speaker 3: to your point, like what are those three things that

617
00:34:09,760 --> 00:34:12,400
Speaker 3: I have to say and get in and that takes practice.

618
00:34:12,719 --> 00:34:18,560
Speaker 2: And also his style at a rally in addition to

619
00:34:18,600 --> 00:34:22,880
Speaker 2: it being very long, people know what he's talking about.

620
00:34:23,280 --> 00:34:25,680
Speaker 2: So when he talks about student loans, or he talks

621
00:34:25,719 --> 00:34:29,800
Speaker 2: about you know, rapists and murders coming across the border

622
00:34:30,000 --> 00:34:33,080
Speaker 2: and whatever, the people are following that, they know what

623
00:34:33,719 --> 00:34:36,240
Speaker 2: he's talking about. A lot of the people that tuned

624
00:34:36,280 --> 00:34:39,560
Speaker 2: in last night, you know, are not necessarily following a

625
00:34:39,560 --> 00:34:42,040
Speaker 2: lot of these issues. And so I don't think you

626
00:34:42,120 --> 00:34:45,919
Speaker 2: can just give one sentence to something or make sort

627
00:34:45,960 --> 00:34:50,000
Speaker 2: of a generalized statement about something. You have to provide

628
00:34:50,040 --> 00:34:54,760
Speaker 2: detail in history and background and detail about her record,

629
00:34:54,880 --> 00:34:56,120
Speaker 2: and there was not a lot of that.

630
00:34:56,360 --> 00:34:59,080
Speaker 3: I'm curious how they feel about the mic muting though,

631
00:34:59,120 --> 00:35:02,560
Speaker 3: also because I that wasn't always that was not muted

632
00:35:02,600 --> 00:35:04,840
Speaker 3: at all, and I just think that was the biggest

633
00:35:05,680 --> 00:35:08,160
Speaker 3: issue that the campaigns had when trying to get this

634
00:35:08,239 --> 00:35:09,000
Speaker 3: debate settled.

635
00:35:09,360 --> 00:35:12,840
Speaker 1: I think ultimately it'll be interesting to see what this does,

636
00:35:12,960 --> 00:35:16,720
Speaker 1: because I think this was the opportunity for Kamala Harris

637
00:35:16,760 --> 00:35:18,960
Speaker 1: to come out and say I have a plan that

638
00:35:19,160 --> 00:35:22,320
Speaker 1: is different than anything we've seen. She had to really

639
00:35:22,480 --> 00:35:24,839
Speaker 1: instead of just saying I'm not Joe Biden, she had

640
00:35:24,840 --> 00:35:28,359
Speaker 1: to really differentiate herself from Joe Biden. She didn't. She

641
00:35:28,400 --> 00:35:33,160
Speaker 1: didn't give the American people anything. She was the naggy wife,

642
00:35:33,320 --> 00:35:37,560
Speaker 1: she was the yelling mother. She did not come across

643
00:35:37,600 --> 00:35:42,200
Speaker 1: as though she could discuss all of these situation, all

644
00:35:42,239 --> 00:35:46,120
Speaker 1: of these different issues in depth. She didn't have the

645
00:35:46,160 --> 00:35:49,920
Speaker 1: in depth discussion or the ability to do that. I

646
00:35:49,960 --> 00:35:51,960
Speaker 1: don't think a lot of people walked away from this

647
00:35:52,040 --> 00:35:54,120
Speaker 1: debate saying yeah, I can see her sitting down with

648
00:35:54,239 --> 00:35:58,080
Speaker 1: President g Yes, I can see her sitting down with

649
00:35:58,680 --> 00:36:03,000
Speaker 1: President Putin and really hammering him hard. You're not going

650
00:36:03,080 --> 00:36:05,080
Speaker 1: to sit across from the at the table from Putin,

651
00:36:05,160 --> 00:36:07,399
Speaker 1: rolling your eyes and have him take He'll just get

652
00:36:07,440 --> 00:36:11,279
Speaker 1: up and walk out. She was not presidential. She was

653
00:36:11,320 --> 00:36:16,320
Speaker 1: not prepared for these in depth discussions with foreign leaders.

654
00:36:17,400 --> 00:36:20,759
Speaker 1: She is a prosecutor. This is good. She's good for

655
00:36:20,800 --> 00:36:24,320
Speaker 1: an hour and a half to come out and prosecute someone.

656
00:36:24,600 --> 00:36:27,360
Speaker 1: The job is not to prosecute. That's I think that

657
00:36:27,600 --> 00:36:31,960
Speaker 1: is the mistake that a lot of voters make. They go, oh,

658
00:36:31,960 --> 00:36:34,320
Speaker 1: this is a job about going out there and hammering

659
00:36:34,360 --> 00:36:37,319
Speaker 1: someone and telling them how bad they are. No, it's

660
00:36:37,360 --> 00:36:39,520
Speaker 1: a job of humility. It's a job of being able

661
00:36:39,560 --> 00:36:42,200
Speaker 1: to sit down across the table. It's a job of service.

662
00:36:42,400 --> 00:36:45,399
Speaker 1: You are serving the American people and you're protecting them

663
00:36:45,440 --> 00:36:48,160
Speaker 1: from the most dangerous people in the world. And she

664
00:36:48,200 --> 00:36:49,360
Speaker 1: didn't prove that she can do that.

665
00:36:50,040 --> 00:36:52,640
Speaker 3: They said that she was doing debate prep with Hillary Clinton.

666
00:36:52,719 --> 00:36:55,200
Speaker 3: And I will never you know, I'm not a Hillary

667
00:36:55,200 --> 00:36:57,680
Speaker 3: Clinton fan, will not give her credit for anything. But

668
00:36:58,040 --> 00:37:03,120
Speaker 3: in this case, this is like stylistically, Kamala just doesn't

669
00:37:03,200 --> 00:37:06,120
Speaker 3: have the presence and the demeanor, and so you talk

670
00:37:06,160 --> 00:37:09,560
Speaker 3: about her rolling her eyes, even Hillary Clinton knows not

671
00:37:09,680 --> 00:37:12,240
Speaker 3: to do that for the most part. And Hillary Clinton

672
00:37:12,320 --> 00:37:16,000
Speaker 3: still had a presence, an adult presence on the stage

673
00:37:16,040 --> 00:37:20,280
Speaker 3: more so than Kamala did. And that's why she didn't

674
00:37:20,360 --> 00:37:23,080
Speaker 3: learn anything from Hillary's run. I don't think I think

675
00:37:23,120 --> 00:37:26,440
Speaker 3: she's leaning into the things that people had issues with

676
00:37:26,440 --> 00:37:28,319
Speaker 3: with Hillary more so at the end of the day,

677
00:37:28,360 --> 00:37:30,520
Speaker 3: I don't think it's going to help her. But it's

678
00:37:30,560 --> 00:37:34,520
Speaker 3: just interesting that that's who she took her marching orders

679
00:37:34,560 --> 00:37:36,279
Speaker 3: from on how to go about debating him.

680
00:37:36,320 --> 00:37:41,640
Speaker 2: Well, and rewind back to what, let's say June, when

681
00:37:42,080 --> 00:37:44,040
Speaker 2: it was not on the table that Joe Biden was

682
00:37:44,120 --> 00:37:50,040
Speaker 2: going to be kicked out. To your point about Hillary,

683
00:37:50,560 --> 00:37:55,960
Speaker 2: she was a Secretary of State, she was a diplomat,

684
00:37:56,520 --> 00:38:00,520
Speaker 2: She was disciplined, she knew she she had to be

685
00:38:00,560 --> 00:38:06,400
Speaker 2: on message. She had a different presence Kamala Harris, you

686
00:38:06,440 --> 00:38:09,560
Speaker 2: go back to June. She was a joke of a

687
00:38:09,640 --> 00:38:12,480
Speaker 2: vice president and she still is, but that was how

688
00:38:12,520 --> 00:38:15,920
Speaker 2: she was portrayed. She was given crap jobs where she

689
00:38:16,000 --> 00:38:17,920
Speaker 2: was not going to be successful. The boarder is a

690
00:38:17,920 --> 00:38:22,080
Speaker 2: good example, and she was a joke and people laughed

691
00:38:22,120 --> 00:38:26,440
Speaker 2: at her and was not taken seriously. And remember it

692
00:38:26,560 --> 00:38:29,959
Speaker 2: was they're never going to replace Biden because what they're

693
00:38:29,960 --> 00:38:32,680
Speaker 2: going to replace him with is worse. That was the attitude.

694
00:38:32,800 --> 00:38:34,800
Speaker 1: And you make a great point because that wasn't a

695
00:38:34,880 --> 00:38:37,480
Speaker 1: yes or no question. Did you know Joe Biden was

696
00:38:37,520 --> 00:38:42,000
Speaker 1: cognitively impaired? Did you knowingly lie to the American people?

697
00:38:42,160 --> 00:38:42,600
Speaker 2: Yes? Or no?

698
00:38:43,520 --> 00:38:46,640
Speaker 1: Do we have a president of the United States right now?

699
00:38:46,880 --> 00:38:50,560
Speaker 1: Yes or no? Are you okay with someone who spends

700
00:38:50,760 --> 00:38:53,640
Speaker 1: endless time on the beach? Yes or no? Will you

701
00:38:53,800 --> 00:38:58,120
Speaker 1: defend this president's record? Will you defend the Biden Harris record?

702
00:38:58,239 --> 00:38:58,880
Speaker 1: Yes or no?

703
00:38:58,960 --> 00:38:59,160
Speaker 2: Oh?

704
00:38:59,200 --> 00:39:01,839
Speaker 1: And we didn't even get to the Afghanistan withdrawal, which

705
00:39:02,280 --> 00:39:06,000
Speaker 1: I have to bring up because they said to her.

706
00:39:06,360 --> 00:39:08,120
Speaker 1: You know, you said you were the last person in

707
00:39:08,120 --> 00:39:09,319
Speaker 1: the room. Are you okay with it?

708
00:39:09,480 --> 00:39:09,640
Speaker 2: Oh?

709
00:39:09,719 --> 00:39:12,400
Speaker 1: Yeah, all these presidents said they were going to get

710
00:39:12,400 --> 00:39:15,720
Speaker 1: out of Afghanistan. We did it. Now the American people

711
00:39:15,760 --> 00:39:18,880
Speaker 1: don't have to pay. That wasn't the question. The question

712
00:39:19,000 --> 00:39:23,480
Speaker 1: is you botched that withdrawal? You botched it. Thirteen service

713
00:39:23,480 --> 00:39:26,480
Speaker 1: members died, and the nerve of this woman to say,

714
00:39:26,800 --> 00:39:29,920
Speaker 1: now you're not paying for this war I couldn't believe it.

715
00:39:29,920 --> 00:39:31,879
Speaker 1: It wasn't a question of whether or not you get out.

716
00:39:32,239 --> 00:39:35,400
Speaker 1: We knew we were getting out. Wasn't a question of

717
00:39:35,440 --> 00:39:38,200
Speaker 1: whether or not you get out of Afghanistan. It was

718
00:39:38,239 --> 00:39:40,719
Speaker 1: the fact that the images that are seared in our

719
00:39:40,760 --> 00:39:43,840
Speaker 1: minds of people falling from planes they were so desperate

720
00:39:43,880 --> 00:39:46,319
Speaker 1: to be saved. Was the fact that they left all

721
00:39:46,360 --> 00:39:49,000
Speaker 1: of our equipment, was the fact that they were totally unprepared,

722
00:39:49,120 --> 00:39:52,399
Speaker 1: And was the fact that we had service members needlessly die,

723
00:39:52,640 --> 00:39:56,120
Speaker 1: we had people maimed for no reason. And she never

724
00:39:56,320 --> 00:39:57,359
Speaker 1: had to address that.

725
00:39:57,840 --> 00:40:01,239
Speaker 3: She essentially said, I'm major Mond, tax payment less and

726
00:40:01,280 --> 00:40:04,040
Speaker 3: all it costs you was thirteen lives. And that's how

727
00:40:04,080 --> 00:40:06,480
Speaker 3: she I mean, that is genuinely how she talked about it,

728
00:40:06,520 --> 00:40:09,279
Speaker 3: which is just disgusting. And she actually used I think

729
00:40:09,320 --> 00:40:12,319
Speaker 3: the word pay like no one had to pay for

730
00:40:12,360 --> 00:40:13,600
Speaker 3: it or something like that, and you don't have to

731
00:40:13,600 --> 00:40:15,440
Speaker 3: pay for it, and I mean you rightly pointed out

732
00:40:15,480 --> 00:40:17,600
Speaker 3: on Twitter. Yeah, there's families that are paying for this

733
00:40:17,800 --> 00:40:21,440
Speaker 3: every single day who don't have their family members anymore.

734
00:40:21,800 --> 00:40:23,640
Speaker 1: And there are still people who are paying for it

735
00:40:23,680 --> 00:40:25,520
Speaker 1: every single day because they were injured.

736
00:40:26,960 --> 00:40:30,439
Speaker 2: You talk about the impact. What impact do you think

737
00:40:30,440 --> 00:40:35,520
Speaker 2: the debate will have? I think the mechanics of an

738
00:40:35,600 --> 00:40:40,400
Speaker 2: election have fundamentally changed because when debates started, there wasn't

739
00:40:40,400 --> 00:40:45,000
Speaker 2: the Internet. There wasn't you know, campaign websites, which they

740
00:40:45,000 --> 00:40:47,960
Speaker 2: don't have a lot of information on them anyway. There

741
00:40:48,040 --> 00:40:51,760
Speaker 2: was not the daily cover it, the minute by minute

742
00:40:51,800 --> 00:40:55,040
Speaker 2: coverage of everything that's going on in an election of

743
00:40:55,120 --> 00:40:58,800
Speaker 2: speeches and all of that. There was basically the evening news.

744
00:40:59,400 --> 00:41:03,320
Speaker 2: And and so I think debates played a much larger

745
00:41:03,400 --> 00:41:07,960
Speaker 2: role in an election in terms of forming opinions than

746
00:41:08,000 --> 00:41:11,319
Speaker 2: they do now. And then I think, in addition to that,

747
00:41:12,960 --> 00:41:16,040
Speaker 2: we have two candidates, one that's in office who is

748
00:41:16,520 --> 00:41:19,160
Speaker 2: essentially the president. She's pretending that she's not, but she

749
00:41:19,320 --> 00:41:23,520
Speaker 2: essentially is. And a former president who people can judge

750
00:41:23,520 --> 00:41:27,320
Speaker 2: their records and their life experiences in terms of jobs

751
00:41:27,360 --> 00:41:30,560
Speaker 2: and making money in the economy and security and all

752
00:41:30,600 --> 00:41:35,279
Speaker 2: of that. They can judge each other. And so I

753
00:41:35,320 --> 00:41:39,200
Speaker 2: would I would predict that after what happened last night,

754
00:41:39,280 --> 00:41:41,279
Speaker 2: not a whole lot is going to change. You know,

755
00:41:41,320 --> 00:41:45,239
Speaker 2: the media is going to you know, obsess over it,

756
00:41:45,280 --> 00:41:47,839
Speaker 2: and Democrats will you know, find their wins and all

757
00:41:47,880 --> 00:41:50,840
Speaker 2: of that. But I don't anticipate a whole lot is

758
00:41:50,880 --> 00:41:51,319
Speaker 2: going to.

759
00:41:51,320 --> 00:41:55,160
Speaker 3: Change if I would love to see the Nielsen data

760
00:41:55,200 --> 00:41:58,239
Speaker 3: afterwards to see how many people just turned it off

761
00:41:58,360 --> 00:42:00,799
Speaker 3: after the first fifteen to twenty minutes, because I think

762
00:42:00,800 --> 00:42:03,280
Speaker 3: you're right. I just think people, for the most part,

763
00:42:03,320 --> 00:42:06,080
Speaker 3: they're not moved by a debate. They watch it just

764
00:42:06,120 --> 00:42:09,200
Speaker 3: to quickly check in see if anyone falls on their face.

765
00:42:09,600 --> 00:42:12,480
Speaker 3: Apple research firms use it for clips for commercials, and

766
00:42:13,440 --> 00:42:15,600
Speaker 3: it doesn't really go anywhere beyond that. I know we

767
00:42:15,640 --> 00:42:18,919
Speaker 3: spent forty minutes talking about the issues and why it matters,

768
00:42:19,000 --> 00:42:20,960
Speaker 3: but I think at the end of the day, most

769
00:42:21,000 --> 00:42:24,000
Speaker 3: people have already formed their opinion on these candidates. It's

770
00:42:24,040 --> 00:42:27,400
Speaker 3: really just don't harm yourself at this point.

771
00:42:27,480 --> 00:42:31,200
Speaker 1: Well, I'll just close with saying, if you are talking

772
00:42:31,239 --> 00:42:35,120
Speaker 1: to people today and you're out there and people are saying, well,

773
00:42:35,120 --> 00:42:37,160
Speaker 1: what did you think? I think what you should take

774
00:42:37,200 --> 00:42:40,760
Speaker 1: away from that debate is that you have a president

775
00:42:40,760 --> 00:42:44,120
Speaker 1: and prosecutor, and those are two different things. You've got

776
00:42:44,120 --> 00:42:46,560
Speaker 1: one man who wants to lead, one man who wants

777
00:42:46,600 --> 00:42:49,319
Speaker 1: to negotiate, one man who wants to look at all

778
00:42:49,360 --> 00:42:52,160
Speaker 1: of the issues. And when you talk about are you

779
00:42:52,320 --> 00:42:54,640
Speaker 1: going to do you want Ukraine to win? Do you

780
00:42:54,680 --> 00:42:57,600
Speaker 1: want this? Do you want that? Their strategy that you

781
00:42:57,600 --> 00:43:01,760
Speaker 1: don't give away, and he understands the importance of keeping

782
00:43:02,000 --> 00:43:04,319
Speaker 1: your cards close to your best, to your chest.

783
00:43:04,440 --> 00:43:05,480
Speaker 3: You've got to be.

784
00:43:05,239 --> 00:43:12,000
Speaker 1: Prepared to make those decisions without the entire enemy structure

785
00:43:12,120 --> 00:43:16,480
Speaker 1: knowing what you're doing. This is a woman who was

786
00:43:16,520 --> 00:43:23,640
Speaker 1: out there prosecuting, prosecuting him, prosecuting Americans. She is going

787
00:43:23,719 --> 00:43:29,240
Speaker 1: to prosecute you. You do not want a police state,

788
00:43:29,760 --> 00:43:32,960
Speaker 1: but that's what she is. She wants to go after you.

789
00:43:33,160 --> 00:43:36,200
Speaker 1: She wants to go after her political opponents. We've seen

790
00:43:36,239 --> 00:43:39,360
Speaker 1: it across the country with these Democrats. And if you

791
00:43:39,560 --> 00:43:43,799
Speaker 1: have the head of the snake is a prosecutor, you're

792
00:43:43,840 --> 00:43:45,520
Speaker 1: not going to be having a leader. You're not going

793
00:43:45,600 --> 00:43:47,439
Speaker 1: to be having a servant. You're going to be having

794
00:43:47,480 --> 00:43:51,399
Speaker 1: somebody who goes after the people she doesn't like. And

795
00:43:51,440 --> 00:43:54,640
Speaker 1: nobody needs that in this country. We've seen it. He

796
00:43:54,760 --> 00:43:57,359
Speaker 1: made it very clear that he has had he has

797
00:43:57,600 --> 00:44:00,760
Speaker 1: had weaponization. He's undergone the weapon is a of government.

798
00:44:01,120 --> 00:44:04,160
Speaker 1: He's had the government go turn on him and go

799
00:44:04,200 --> 00:44:06,200
Speaker 1: after him. And we've all seen it, and I think

800
00:44:06,239 --> 00:44:07,960
Speaker 1: most people saw that last night, and they were like,

801
00:44:08,680 --> 00:44:09,400
Speaker 1: is that really.

802
00:44:09,200 --> 00:44:09,880
Speaker 3: Your best bet?

803
00:44:09,960 --> 00:44:12,120
Speaker 1: You got this prosecutor up here and you're talking about

804
00:44:12,120 --> 00:44:15,160
Speaker 1: how she went after him. That will be the future

805
00:44:15,440 --> 00:44:18,040
Speaker 1: under Kamal Harris. So we just have to be very careful.

806
00:44:18,040 --> 00:44:21,600
Speaker 1: And I have to say thank you to this group

807
00:44:21,640 --> 00:44:24,480
Speaker 1: for getting up today. Thank you especially to Kyle, who

808
00:44:24,600 --> 00:44:27,080
Speaker 1: was very crabby about me asking him to come in

809
00:44:27,120 --> 00:44:27,520
Speaker 1: the thriller.

810
00:44:27,920 --> 00:44:32,399
Speaker 2: But I'm the happiest one here.

811
00:44:33,880 --> 00:44:38,600
Speaker 3: Thank you a lot to say that.

812
00:44:38,920 --> 00:44:41,800
Speaker 1: It is very early, but you got it here first.

813
00:44:41,920 --> 00:44:46,640
Speaker 1: This is the raw discussion about the debate right after

814
00:44:46,880 --> 00:44:50,160
Speaker 1: the debate. I feels like we just literally watched the debate.

815
00:44:50,560 --> 00:44:54,800
Speaker 1: So thank you for listening. We will be back tomorrow

816
00:44:54,920 --> 00:44:57,480
Speaker 1: or actually, yeah, we will be back tomorrow. Oh gosh, yeah,

817
00:44:57,480 --> 00:44:59,839
Speaker 1: we're gonna have to talk more today. So make sure

818
00:44:59,880 --> 00:45:03,400
Speaker 1: you check out more episodes at Tutordison dot com, the

819
00:45:03,440 --> 00:45:07,120
Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you get your podcasts

820
00:45:07,160 --> 00:45:10,000
Speaker 1: and join us next time. I'm the Tutor Dixon Podcast.

821
00:45:10,120 --> 00:45:10,800
Speaker 1: Have a blessing,