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Speaker 1: All right, glad you with us two hundred and fifty

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Speaker 1: nine days till you the ultimate jury get to go

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Speaker 1: to the poles, and yeah, you can shot the world again.

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Speaker 1: I'm gonna tell you why. I think it's lining up

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Speaker 1: pretty well. But I take nothing for granted, and that's

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Speaker 1: just the way it is. And I gotta tell you

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Speaker 1: that there is a lot at stake here. By I

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Speaker 1: want to give a shout out. I don't know if

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Speaker 1: you've been watching what's going on in Mississippi. Their Pearl

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Speaker 1: River created water levels. You know, they're expected to fall

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Speaker 1: hopefully later this week. Saturated with days and days of rain,

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Speaker 1: the flooding in the state and in Tennessee also impacting

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Speaker 1: hundreds of homes. There's nothing worse. You know, you work

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Speaker 1: your entire life. You want to get that home. You

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Speaker 1: finally get that home, and then now you got to

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Speaker 1: go through, okay, getting all your stuff out of there.

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Speaker 1: You can't keep it because you got to worry about

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Speaker 1: mold and you probably either you can treat it or

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Speaker 1: you have to rebuild the whole house. And then okay,

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Speaker 1: then you have to fight your insurance company over the

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Speaker 1: flood zone. It's a pain in the neck. Anyway, I

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Speaker 1: thought some prayers are with our friends that are going

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Speaker 1: through that. Right now, as we look, we now have

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Speaker 1: Bloomberg has bought his way successfully into the Nevada debate.

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Speaker 1: That's interesting to watch. And now the question is there's

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Speaker 1: gonna be a test, and the test is it's like

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Speaker 1: a litmus test for Democrats and a test for the

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Speaker 1: mob and the media. Do you know the Bloomberg foreigner

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Speaker 1: in seventeen million dollars, This guy's already spent on his campaign,

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Speaker 1: and I was paying off. But these polls don't mean

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Speaker 1: a lot to me. Yet they don't because you look

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Speaker 1: at the polls and you say, okay, well, Bloomberg has

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Speaker 1: been paying the slick marketing campaign. Nobody's really heard from him.

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Speaker 1: Every time he does open his mouth, he puts his

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Speaker 1: foot in it. I never I mean, the level of

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Speaker 1: arrogance of this guy is breathtaking. But anyway, right now

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Speaker 1: we have Bernie Sanders still killing it. He's up National

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Speaker 1: Pole twelve point lead in second. He's got what twenty third, no,

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Speaker 1: thirty one percent of the support MPRPBS News Hour Maris

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Speaker 1: Pole just released today, putting him in the top spot.

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Speaker 1: Bloomberg now has surged to second place nineteen points. He's

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Speaker 1: twelve behind. Bernie Biden now down single digits. He's now

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Speaker 1: down to nine points. Well, I'm sorry, nine points to

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Speaker 1: fifteen percent. But we've seen this up and down. I mean,

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Speaker 1: we saw a moment when Elizabeth Warren was surging and

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Speaker 1: then she just you know, the bottom fell out for her.

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Speaker 1: Buddha Judge was surging, and the bottom seems to be

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Speaker 1: falling out for him. There is this panic. It's kind

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Speaker 1: of odd to me in some ways, the panic over Bernie,

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Speaker 1: because Bernie maybe he's just more outspoken and hiding less

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Speaker 1: of what all the Democrats would eventually do. Anyway, because

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Speaker 1: if you think about it, there all for open borders.

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Speaker 1: They're all for amnesty of some kind. They're all against

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Speaker 1: you know, they're all for citizenship. They're all for some

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Speaker 1: type of sanctuary status for illegal immigrants. They're all for

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Speaker 1: some form of the New Green Deal. They're all for

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Speaker 1: government takeover of industry, especially oil and gas. They're all

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Speaker 1: for expanding government services. They all want to raise taxes.

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Speaker 1: They all want some type of wealth tax. They all

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Speaker 1: want to they all believe in some redistribution. They all

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Speaker 1: think the government is the answer to every problem that

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Speaker 1: we have. You know, there's just I guess levels of

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Speaker 1: socialism and degrees of socialism, but they're all socialists. There's

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Speaker 1: one articles out and this will be the test for

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Speaker 1: Bloomberg if he's in this debate. You know, is the

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Speaker 1: Democratic Party going to accept Michael Bloomberg? Are they going

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Speaker 1: to the Democratic candidates and the medium mob? Are they

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Speaker 1: going to let him get away with just I mean,

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Speaker 1: this is just the beginning of the review for him.

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Speaker 1: I mean there's another quote. Kerry Pickett will be alm

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Speaker 1: with those later today. You know. Now we got another

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Speaker 1: quote on blacks and Latinos. They don't know how to

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Speaker 1: behave in the workplaces. Michaelomorous cohort of black and Latino

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Speaker 1: males age let's say, sixteen to twenty five that don't

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Speaker 1: have jobs, don't have any prospects, don't know how to

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Speaker 1: find jobs, don't know that they what their skill sets are,

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Speaker 1: don't know how to behave in the workplace where they

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Speaker 1: have to work. I mean, the way he speaks with

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Speaker 1: these broad sweeping generalizations, it's the same thing murderers, murder victims.

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Speaker 1: They fit one m O. He does take a description.

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Speaker 1: I mean, think about this xerox it one description. Xerox

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Speaker 1: the one description. Pass it out to all cops because

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Speaker 1: murderers and murder victims fit one m Ore's there's no

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Speaker 1: wiggle room here. Now. It's it's breathtaking in terms of

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Speaker 1: its generalization. It's not saying, okay, well, we have a

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Speaker 1: higher concentration a crime in this particular part of the city,

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Speaker 1: and I would almost guarantee you it is more impacted

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Speaker 1: by socioeconomics than by race of any kind. And I

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Speaker 1: can tell you that what he's saying when he describes

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Speaker 1: these things is just factually ignorant and false. I can

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Speaker 1: only tell you that if any Republican or conservative, or

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Speaker 1: god forbid, Donald Trump or anybody in the Trump family

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Speaker 1: ever talk like this, it would never go away. And

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Speaker 1: frankly rightly so. But anyway, murderers murder victims fit one

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Speaker 1: m O. Take the description and you do xerox that

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Speaker 1: you pass it out to all the cops. They are

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Speaker 1: male minorities sixteen to twenty five. Why he's obsessed with

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Speaker 1: sixteen to twenty five? And then he says it's true

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Speaker 1: in New York, it's true and virtually every city in America. Okay, yeah,

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Speaker 1: just take the every every cop. Here's your is your

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Speaker 1: xerox copy of all the murderers and murder victims. You're

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Speaker 1: only fit one m that's the only people you look

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Speaker 1: up look too, just like you know. Then he goes

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Speaker 1: on to say, you know, seventeen years he supports stopping

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Speaker 1: frisk until now he has to run for president. Now

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Speaker 1: he's got a play identity politics. Then we got the

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Speaker 1: crocodile tears. But he literally supported it for twelve years.

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Speaker 1: But it's his version of it that is so shocking.

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Speaker 1: It's not stopping frisk and putting more more police resources

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Speaker 1: and higher crime areas. That was what stopping frisk is.

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Speaker 1: I always understood it. In other words, a higher concentration

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Speaker 1: based on where the higher concentration of crime might be

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Speaker 1: at any particular moment in the city. And then he says, well,

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Speaker 1: you know, oh my god, people say you're arresting kids

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Speaker 1: from marijuana. They are all minorities, all not some all. Well,

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Speaker 1: I could tell you for a fact that's total bs.

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Speaker 1: I'm in midtown Manhattan today and let me tell you,

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Speaker 1: you walk outside the door and you're gonna smell weed everywhere.

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Speaker 1: It's unbelievable. It's disgusting, smells like a disgusting skunk. I

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Speaker 1: can't stand it anyway. And you see it in the

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Speaker 1: hands of people that are not minorities. Shocker wow. And

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Speaker 1: he said. Then he goes, yeah, I did we do that.

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Speaker 1: And but we you're arresting just kids from They're all

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Speaker 1: minorities that you're arresting. That's true, he says, why because

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Speaker 1: we put all the cops in minority Neighborhood's all the cops.

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Speaker 1: He says, why, because that's where all the crime is.

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Speaker 1: I'm kids, you know. Then, I mean it gets worse.

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Speaker 1: This thing about farmers is really just stuck in my head.

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Speaker 1: You know. Oh, come on, I could teach you. I

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Speaker 1: could teach anybody to be a farmer. You day, go hole,

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Speaker 1: you put a seat, and you put dirt on top,

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Speaker 1: ad water up comes the corn. I mean, what century

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Speaker 1: is this guy living in? Does does he not know

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Speaker 1: how hard it is to be a farmer? Does he

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Speaker 1: not know the level of science, technology, and sophistication that

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Speaker 1: now has gone into farming. The hybrids that we grow,

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Speaker 1: the success that how how we have made plants more hardy,

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Speaker 1: able to go through weather conditions that they never otherwise

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Speaker 1: would have survived because of the science behind farming. Ah,

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Speaker 1: you know, you farmers need more gray matter to join

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Speaker 1: the technological age, Like, oh, my gosh, you really are dumb.

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Speaker 1: He really is a dope. And then telling him, oh,

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Speaker 1: you're ninety five years old, you got prostate cancer. You

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Speaker 1: go home now die. We're not going to treat you

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Speaker 1: because we don't have the money to treat you. And

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Speaker 1: what things they can't fix right away. If you need

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Speaker 1: actual you're gonna have to wait. That's just all of

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Speaker 1: these costs. You're going out. Nobody wants to pay any

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Speaker 1: more money. And at the rate we're going, healthcare is

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Speaker 1: going backgrounds. So not only do we have a problems,

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Speaker 1: we've got to sit here and say which things you're

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Speaker 1: gonna do and which things were not. Nobody wants to

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Speaker 1: do that. You know, you show up with pritate cancer,

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Speaker 1: you're ninety five years old. We should say go and enjoy,

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Speaker 1: have a nice spring, leave a long life. It's not true,

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Speaker 1: and he came person we should do something on a

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Speaker 1: society's not willing to do that yet. I mean, it's

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Speaker 1: unbelievable to me. You're gonna die. There's your death panel. Well,

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Speaker 1: that makes me feel good. He's by the way, he's

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Speaker 1: no spring chicken. He's seventy eight years old, and he

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Speaker 1: looks all of seventy eight years old. Looks tired already.

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Speaker 1: The big news today is that he's practicing for his debate.

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Speaker 1: Oh okay. Now then you add to it all the

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Speaker 1: stuff with women. Oh you're pregnant, just kill it? Okay, really,

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Speaker 1: I mean think of that. That's another thing with the

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Speaker 1: Democratic Party. Oh, late term abortion. You know, remember the

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Speaker 1: governor of the Great Commonwealth of Virginia Northwall. You know, well, first,

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Speaker 1: you know, we'll let birth the baby and make the

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Speaker 1: baby comfortable, and then we'll let the mother decide whether

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Speaker 1: labor I can tell you exactly nor the happening. The

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Speaker 1: infant would be delivered, the infant would be kept comfortable,

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Speaker 1: the infant would be resuscitated if if that's what the

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Speaker 1: mother and the family desired, and then a discussion would

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Speaker 1: ensue between the physicians and the mother. Unbelievable. Then we

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Speaker 1: had eight states Democrats following sue with this nonsense. I mean,

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Speaker 1: the Washington Post interviewing these former Bloomberg employees and all

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Speaker 1: of these other conversations about this thirty whatever page eight

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Speaker 1: page booklet about the witty sayings and sexist sayings of Bloomberg.

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Speaker 1: If I said it on Aaron, forget it. If her

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Speaker 1: Republicans said it, forget it. And and it even gets

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Speaker 1: worse from here. Now we got the new quote today

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Speaker 1: blacks and Latinos don't know how to behave in the

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Speaker 1: work place. Well, I can tell you as somebody that

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Speaker 1: hires people, I've been plenty of people that we've interviewed

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Speaker 1: over the years that don't know how to behave in

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Speaker 1: the workplace that are white, Okay, that we can't hire. Unfortunately,

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Speaker 1: a lot of socioeconomics behind this. But at the end

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Speaker 1: of the day, I mean, are the Democrats gonna give

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Speaker 1: this guy a pass? Now? The Washington Post, now that

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Speaker 1: he's in this final debate in Vegas tomorrow, is saying,

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Speaker 1: after days of scuffling with Sanders and receiving criticism from

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Speaker 1: Warren and others, and you know, Blankets continues to blanket

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Speaker 1: the airways, Bloomberg is going to be on the receiving

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Speaker 1: end of barrage of attacks. I don't know. I'm not

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Speaker 1: so sure because Democrats they never only go after conservatives

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Speaker 1: that say bad things, that double standard reeks to high heaven.

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Speaker 1: I guess Bernie's gonna do it because it's Bernie's revival

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Speaker 1: at stake here. Hollywood is a daily wire piece out

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Speaker 1: today that they're deserting Bernie and moving towards Bloomberg. So

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Speaker 1: I guess Hollywood really doesn't care about his treatment of women.

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Speaker 1: I guess they don't care about his racial comments. I

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Speaker 1: guess they don't care that it's okay for old people

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Speaker 1: to be told go home. We're not going to treat you.

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Speaker 1: You've already outlived your life, expectancy die, because that's pretty

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Speaker 1: much his plan. As long as he's against Trump, it's fine.

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Speaker 1: I've noted, well, we think he can win. We think

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Speaker 1: he has a better chance than Bernie to win. I'm

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Speaker 1: Bernie has a twelve point lead over Bloomberg, and Bernie's

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Speaker 1: not spending anywhere near the money that Bloomberg. Newd is

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Speaker 1: predicting that billionaire Mike might spend as much as six

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Speaker 1: billion dollars on this race. Apparently, as it is estimates

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Speaker 1: of his wealth of sixty two to sixty four billion,

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Speaker 1: he can spend ten percent, and he'd said six billion

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Speaker 1: because he wants to be president and he hates Trump

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Speaker 1: and the combination as a motivator. Bloomberg already he's spent

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Speaker 1: warnering seventeen million dollars. It's now, well it's Ben Is

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Speaker 1: who's the guy behind the curtain moment. We don't know

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Speaker 1: anything about Bloomberg except what we're now finding. But I

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Speaker 1: can guarantee you the mob and the media is going

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Speaker 1: to protect him. Hollywood will protect him, and I bet

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Speaker 1: you the Democratic Party will protect him after you know,

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Speaker 1: four years, if Trump said or did anything like this,

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Speaker 1: the world falls down. You know, the world stops. They

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Speaker 1: feign their outrage. They're not outraged, because if they were,

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Speaker 1: they'd be outraged over Bloomberg. Elizabeth warren't so desperate now.

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Speaker 1: She's saying Bernie's supporters are violent, maintaining politicians are responsible

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Speaker 1: for what their supporters do. Well, I guess when Steve

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Speaker 1: Schlise and others got shot up in that ball field

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Speaker 1: with them, it was a Bernie supporter, so we'd blame them.

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Speaker 1: That's ridiculous, By the way, Bernie. I think Bernie has

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Speaker 1: a lot of questions to answer here, and I'm particularly

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Speaker 1: worried about what happened with the tax on members of

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Speaker 1: the culinary union, particularly on women and leadership. That is

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Speaker 1: not how we build an inclusive Democratic party. It is

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Speaker 1: not how we build Donald Trump. I don't know what

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Speaker 1: that means. I'm quoting a verbatim. We do not build

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Speaker 1: on a foundation of hate. Now the latest pole because

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Speaker 1: we'll go to Nevada, then we'll go to South Carolina,

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Speaker 1: then we'll head into Super Tuesday. Bolshevik Bernie. Now, this

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Speaker 1: is a poll that came out likely Nevada caucus goers,

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Speaker 1: which is Saturday. Bolshevik Bernie is like a twenty point

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Speaker 1: lead at this particular point in time. Data for Progress

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Speaker 1: poll released yesterday. Elizabeth Warren there nineteen points sixteen for

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Speaker 1: Buddha Judge and wow, another fourth place finish finished heading

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Speaker 1: for Joe Biden. I guess he'll leave again before he

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Speaker 1: addresses his supporters that go out on the ground. But

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Speaker 1: I'm particularly I'm gonna come back. I am blown away

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Speaker 1: by the arrogance of somebody, not only the look, the sexism.

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Speaker 1: It just speaks for itself. I don't have to spend

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Speaker 1: a lot of time the racism. I mean, who speaks

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Speaker 1: like like like Bloomberg. Nobody that I know, you know?

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Speaker 1: Add to that, oh, we gotta have illegal immigrants. After all,

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Speaker 1: who's gonna keep our greens? Who's gonna who's gonna take

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Speaker 1: more our fairways? And I'm like, okay, to be a

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Speaker 1: great greenskeeper. I don't know a lot about it, but

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Speaker 1: I know these golf clubs pay greens people keepers a

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Speaker 1: lot of money. I don't know why, because it's hard

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Speaker 1: to keep that grass alive. They have science to it.

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Speaker 1: There's an art to it, there is. There are college

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Speaker 1: curriculum designed to specialize in this stuff, like farming. How

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Speaker 1: could he say, ninety five years old, go home, you're dead,

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Speaker 1: get lost? Oh? Any of our farmer I could teach

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Speaker 1: anyone to do that. Drop a seed in the ground,

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Speaker 1: a little dirt over it, water, there you go, corn

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Speaker 1: pops up in rows? Farmer, Mini, Mary Poppins, Mike Bloomberg,

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Speaker 1: did you see the video we played to him last night? Well,

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Speaker 1: I'm gonna that was Tim mcgrows song. Right, all right,

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Speaker 1: pop pop up in a row? What did you call it?

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Speaker 1: Green grass grows? Right? Okay, so uh go back. I

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Speaker 1: want you to play it again, because this is really

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Speaker 1: this I'm thinking. Can I give a funny anecdote? I

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Speaker 1: am thinking, Jason was a country music DJ. I didn't

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Speaker 1: know that. I do remember that. That's my one anecdote

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Speaker 1: of the day. I'm done now, okay, but but now

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Speaker 1: I'm thinking farmer Mike. Mike knows so much about farming.

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Speaker 1: I'll tell you what I want to do too. I

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Speaker 1: know because we've had farmers call this program a number

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Speaker 1: of times in the past. Remember the guy last time

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Speaker 1: stopped his tractor in the middle of farming. I'm just curious.

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Speaker 1: If you're on the line right now, please bear with us.

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Speaker 1: We're gonna hang up on you, and we're just if

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Speaker 1: we'll see if we can get a couple of farmers

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Speaker 1: to call in. Because if I was a farmer and

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Speaker 1: I heard this idiot from New York, New York mayor

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Speaker 1: lecturing me how easy I had to teach anybody to

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Speaker 1: be a farmer, it's so breathtakingly arrogant. To me, it's

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Speaker 1: so dumb. I mean, look up and maybe pull up

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Speaker 1: on the internet. Where can you go to school to

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Speaker 1: learn to be a farmer. There's our entire college curriculum

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Speaker 1: to do this. It is now a sophisticated science. Look

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Speaker 1: at the farming. If you want a marijuana growers They've

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Speaker 1: gotten so sophisticated that literally they come up with every

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Speaker 1: minor detail variation of just that crop. Now they come

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Speaker 1: up with hybrid corns and hybrid pretty much everything. We

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Speaker 1: feed the entire country, we feed the entire world. They

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Speaker 1: have built in a heartiness to their crops that can

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Speaker 1: withstand weather conditions that in previous generations they would never withstand.

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Speaker 1: That's how great they The soil um the chemical makeup

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Speaker 1: of the soil now it is that is sophisticated science.

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Speaker 1: The way that they water their crops, irrigation is now

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Speaker 1: sophisticated beyond any understanding. The amount of money that goes

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Speaker 1: into the technology behind the science of farming is spectacular. Anyway,

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Speaker 1: if you're a farmer eight hundred and nine for one, Shawn,

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Speaker 1: I'd like to be a I just want to make

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Speaker 1: another anecdote. Yeah, go ahead. People that are farmers are

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Speaker 1: probably working, no, but they go out. We've had guys

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Speaker 1: called this program. They're listening to the show. I'm just saying,

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Speaker 1: unlike loafer Mike, you know, no farmer Mike. He's you know,

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Speaker 1: I'm calling a loafer Mike. I'm not even calling him

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Speaker 1: to me. This is there's such elitism. Here, there's such condescension,

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Speaker 1: I mean, and he takes it a step further with

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Speaker 1: the Oh, well, you know you need more gray matter.

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Speaker 1: Oh man, you arrogant jackass. That's what I'm thinking. What

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Speaker 1: an arrogant idiot? You know, I don't know what it is,

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Speaker 1: but there's always been and it tends to be I

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Speaker 1: guess big city maybe, and then the rest of the country.

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Speaker 1: There is breathtaking arrogance about people that work with their hands,

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Speaker 1: blue collar workers or construction workers. Okay, well you want

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Speaker 1: to make fun of. Good luck, next time the construction

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Speaker 1: worker comes to your house and you look at the

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Speaker 1: price tag, there's his expertise right there on paper for you. Otherwise,

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Speaker 1: you want to build those kitchen cabinets yourself, good luck.

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Speaker 1: You want to install those cabinets, good luck. You want

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Speaker 1: to hang that wallpaper, good luck hanging it. Oh, your

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Speaker 1: plumbing's down. Sorry. Oh, here's the bill or a plumber's charge.

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Speaker 1: Amazing amounts of money. Now that is sophisticated. You know,

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Speaker 1: everything is changed their ability. Okay, now, okay, maybe maybe

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Speaker 1: you need a septic system and or maybe you need

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Speaker 1: an electrician. The people who are going to have the

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Speaker 1: biggest problem are college graduates who aren't rocket scientists, so

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Speaker 1: you would not at the top of the class. Compare

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Speaker 1: a plumber to going to Harvard College. Being a plumber. Actually,

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Speaker 1: for the average person, probably would be a better deal

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Speaker 1: because you don't spend four years spending forty fifty thousand

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Speaker 1: dollars tuition and no income. I mean the level of

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Speaker 1: he's such a snub, you know, yes, mother, mother, the

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Speaker 1: housekeeper probably let you win and scrabble. What kind of

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Speaker 1: life did this guy live? I just wish my mother

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Speaker 1: had lived long enough to see a crowd like this.

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Speaker 1: She would have what you would say to me is

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Speaker 1: don't let it go to your head. And she every

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Speaker 1: day I'd say what'd you do? And she'd say, well,

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Speaker 1: I played scrabble today, And I said, who'd you play

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Speaker 1: with the housekeeper? Did you win? Yes, of course, And

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Speaker 1: I said, mother, the housekeeper works. Mother. It's throwing the

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Speaker 1: housekeeper outrage. And then she finished by saying, and if

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Speaker 1: you learn to play scrabble, you'd learn how to spell farmer, Mike, farmer, Mike.

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Speaker 1: Now I haven't front of me the twenty best college farms.

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Speaker 1: That's right, small student run organic farms. It's another area

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Speaker 1: of growth organic farming. I mean, think about this, large

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Speaker 1: agri business training centers, entrepreneurial programs. Farming plays a central

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Speaker 1: role in many American higher education institutions, and to highlight

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Speaker 1: the unique offering Best College Reviews they've surveyed over fifty

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Speaker 1: schools to come up with a list of the best

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Speaker 1: university farms in America. There is sophisticated science and technology

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Speaker 1: behind all of this. It is so breathtakingly arrogant. There's

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Speaker 1: also experience passed and handed down through generations that two generations.

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Speaker 1: Stuff you can't learn in a college shows work experience

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Speaker 1: that you learn from obvious. You don't have enough you're taught.

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Speaker 1: You don't have enough gray matter. That's your problem. I

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Speaker 1: don't even know if Mike's that were going to a

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Speaker 1: grocery store. I mean, you look at everything that gets

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Speaker 1: done for us in life. I don't care if it's

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Speaker 1: all right, you go out. We're all in the service industry.

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Speaker 1: You either create goods of services that people want, need

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Speaker 1: and desire. We do news, information, entertainment that you're not

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Speaker 1: going to get from the media MOP. We do our

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Speaker 1: investigator reporting, we do regular reporting, We do strong opinions,

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Speaker 1: we take phone calls, we talk sports, we talk culture.

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Speaker 1: That's what we do. We do like a whole newspaper,

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Speaker 1: and we work hard to do a good job every day.

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Speaker 1: And then when you get in your car, hopefully you'll

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Speaker 1: tune us in and you're gonna learn something, find out

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Speaker 1: something that you're not never gonna hear on fake news

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Speaker 1: CNN or conspiracy TV MSDNC. They have, they have all

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Speaker 1: of these colleges where you're getting advanced degrees. You know,

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Speaker 1: there's actual how to become a farmer education career roadmap.

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Speaker 1: Farmer plants, crops, raises, animals, harvest and sell their goods

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Speaker 1: to produce markets food companies nationally, internationally. Farming is a

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Speaker 1: precarious industry because it's influenced by weather, disease, subject to

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Speaker 1: price vacillations. I'll think about that. Think about the weather

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Speaker 1: and the disease part. Okay, It takes a lot of

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Speaker 1: level of sophistication to overcome challenges that can be foreseen

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Speaker 1: or unforeseen. All right, imagine the irrigation. It's easy for

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Speaker 1: you just you don't need to dig a hole. You

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Speaker 1: put a seed in it, cover it up with dirt,

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Speaker 1: you water it. Okay, Well, The problem is that you've

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Speaker 1: got five thousand acres that you got to do that too. Well,

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Speaker 1: Then you got the sophisticated machinery that will actually do

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Speaker 1: it for you, Mike to even have a clue. And

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Speaker 1: then you got the sophisticated machinery that will even harvest it,

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Speaker 1: or at least some of it. Then you got the

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Speaker 1: sophisticated machinery. And even still you've got to work through oh,

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Speaker 1: bad weather, inclement weather, changing conditions, changing soil conditions, a

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Speaker 1: lot of chemistry behind all of that. You know, you

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Speaker 1: can get secondary degrees, I mean agriculture, farming, you got it,

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Speaker 1: you and then a lifetime of experience. I think it

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Speaker 1: takes a lot of gray matter to be a farmer.

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Speaker 1: Why do people look down on what other people do?

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Speaker 1: Do you like it that there's a guy that can

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Speaker 1: come and fix your plumbing when your plumbing breaks? What if?

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Speaker 1: What if you have your septic tank overflowing? You want

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Speaker 1: to do that? You want to clean that out? Who's

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Speaker 1: gonna put the electrical in your house? Do you know

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Speaker 1: how to lay tile? I just I happen to know

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Speaker 1: how to lay tile. I did this a long time.

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Speaker 1: I bet a lot of you can't even paint your

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Speaker 1: own house. How much does the painter cost? What if

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Speaker 1: you want to hang wallpaper? What if you need plumbing

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Speaker 1: work done? You want to fix your own plumbing, Good

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Speaker 1: luck you know little rodo router. Thank god they're there.

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Speaker 1: Think your drainer is gonna work at the right time,

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Speaker 1: in the right way, and your plunge is gonna pull

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Speaker 1: it all out for you. Sometimes that doesn't work. You

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Speaker 1: had to snake a drain. You know how to do

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Speaker 1: any any that type of repair work. What if there's

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Speaker 1: a league in the line and it's the top floor

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Speaker 1: of your house and your house begins to stink, You

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Speaker 1: want to be able to figure that out on your own.

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Speaker 1: Might take a little bit of a gray matter to

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Speaker 1: figure that out. Or to wire your home in such

422
00:25:16,200 --> 00:25:18,359
Speaker 1: a way that your house doesn't burn down with an

423
00:25:18,400 --> 00:25:22,080
Speaker 1: electrical fire might take some gray matter. Or to actually

424
00:25:22,200 --> 00:25:26,040
Speaker 1: build a house that's level and actually have walls at

425
00:25:26,040 --> 00:25:30,359
Speaker 1: our level and straight and built properly, and that you

426
00:25:30,400 --> 00:25:36,960
Speaker 1: actually understand the need for the engineering and the science

427
00:25:37,080 --> 00:25:40,520
Speaker 1: behind building any structure. Well, you don't want to build

428
00:25:40,520 --> 00:25:42,760
Speaker 1: it the wrong way and have the second floor collapse

429
00:25:42,800 --> 00:25:45,399
Speaker 1: on the first floor, do you? Or the third floor,

430
00:25:45,480 --> 00:25:49,520
Speaker 1: fall all the way down on the first floor. All right,

431
00:25:49,600 --> 00:25:52,080
Speaker 1: a dairy farmer, Joe in Wisconsin. Hey Joe, how are you.

432
00:25:52,080 --> 00:25:53,760
Speaker 1: We're glad you're out there, my friend. How many how

433
00:25:53,760 --> 00:25:58,120
Speaker 1: many cows do you? Oh? Good for you? How much

434
00:25:58,160 --> 00:26:01,639
Speaker 1: milk do you produce a year? Well, it's tough on

435
00:26:01,680 --> 00:26:07,199
Speaker 1: the yearly, but uh, you know, we're we're we're holding

436
00:26:07,240 --> 00:26:10,920
Speaker 1: out and we're hoping to keep the cows. We feel

437
00:26:10,920 --> 00:26:14,320
Speaker 1: like it's a slippery slope once it's those are sold. Right.

438
00:26:16,359 --> 00:26:17,840
Speaker 1: But you know, one of the things I wanted to

439
00:26:17,840 --> 00:26:20,320
Speaker 1: point out is it's not just the ignorance of Bloomberg

440
00:26:20,359 --> 00:26:21,840
Speaker 1: in the mid lest. We put up with this on

441
00:26:21,840 --> 00:26:26,439
Speaker 1: a daily basis, ignorance on how we feed the nation.

442
00:26:26,880 --> 00:26:30,120
Speaker 1: How that all comes evolved. Let me ask what I'd

443
00:26:30,119 --> 00:26:31,920
Speaker 1: be able to go to my grocery store and buy

444
00:26:31,960 --> 00:26:36,680
Speaker 1: milk and cheese without dairy farmers like you. It's just unbelievable,

445
00:26:36,760 --> 00:26:38,639
Speaker 1: the ignorance. You know, when it's not just you go

446
00:26:38,680 --> 00:26:40,800
Speaker 1: and learn it. When you do it, it's a continuing

447
00:26:40,960 --> 00:26:43,880
Speaker 1: learning process. You keep up with it through all your

448
00:26:43,880 --> 00:26:46,920
Speaker 1: whole life. There's always things to learn and improvements, and

449
00:26:48,240 --> 00:26:51,439
Speaker 1: you know, it just it's it's strange to me that

450
00:26:51,480 --> 00:26:54,639
Speaker 1: the disconnect seems to be growing further and further when

451
00:26:54,760 --> 00:26:58,479
Speaker 1: the knowledge and the necessity of the small farmer seemed

452
00:26:58,520 --> 00:27:01,240
Speaker 1: the needs seems to be greater and greater. So I

453
00:27:01,240 --> 00:27:03,760
Speaker 1: don't know where we're going, But let me ask you,

454
00:27:03,840 --> 00:27:06,040
Speaker 1: how did you How did you become a dairy farmer?

455
00:27:06,200 --> 00:27:09,120
Speaker 1: How did you become one? Was it your family business?

456
00:27:09,760 --> 00:27:13,640
Speaker 1: Family business? So you've been doing this? How many hours

457
00:27:13,640 --> 00:27:18,080
Speaker 1: do you work on average a day? As many as needed?

458
00:27:18,640 --> 00:27:21,600
Speaker 1: You do what it takes until you're done. Sometimes it's overnight,

459
00:27:21,680 --> 00:27:24,520
Speaker 1: Sometimes it's most of the times it's late at night.

460
00:27:24,680 --> 00:27:26,479
Speaker 1: Let me ask you, have you ever been there your

461
00:27:26,520 --> 00:27:32,920
Speaker 1: birth calves and stuff? Sometimes occasionally what's that now? Birthay? Yeah? Yeah,

462
00:27:32,960 --> 00:27:35,040
Speaker 1: In the fact, that's this time of years coming up

463
00:27:35,080 --> 00:27:37,560
Speaker 1: now where we're gonna have a bunch of that going on.

464
00:27:37,720 --> 00:27:40,000
Speaker 1: I bet there's a science behind that too, Like if

465
00:27:40,000 --> 00:27:42,359
Speaker 1: it's a breach, you probably know how to handle that,

466
00:27:42,440 --> 00:27:44,959
Speaker 1: don't you. Well, it's a science all the way from

467
00:27:45,040 --> 00:27:48,000
Speaker 1: when you try to make sure the cattle come into

468
00:27:48,080 --> 00:27:50,359
Speaker 1: heat and when you breed them, as far as the

469
00:27:50,400 --> 00:27:52,400
Speaker 1: weather and everything that you put up with. It's a

470
00:27:52,440 --> 00:27:58,600
Speaker 1: constant changing science on how to reproduce your stock. Well,

471
00:27:58,640 --> 00:28:00,960
Speaker 1: I want to say thank you every time I get

472
00:28:01,000 --> 00:28:03,320
Speaker 1: to go to a store and I get to buy

473
00:28:03,720 --> 00:28:06,520
Speaker 1: my milk. I prefer skim milk, by the way, the

474
00:28:06,640 --> 00:28:09,399
Speaker 1: cheese that I like to eat. I'm gonna think of

475
00:28:09,480 --> 00:28:11,439
Speaker 1: Joe in Wisconsin. Joe, thank you for what you do

476
00:28:11,480 --> 00:28:14,320
Speaker 1: every day. Appreciate it. You're welcome. Thank you for what

477
00:28:14,480 --> 00:28:16,320
Speaker 1: you do every day. Sown. All right, my friend, God

478
00:28:16,320 --> 00:28:19,600
Speaker 1: bless you and your family farm. Jim is in Missouri.

479
00:28:19,800 --> 00:28:22,680
Speaker 1: He's a rancher raises cattle. I've been watching this new

480
00:28:22,840 --> 00:28:28,280
Speaker 1: series on Apple. It's called Yellowstone, Kevin Costner in it.

481
00:28:28,800 --> 00:28:31,320
Speaker 1: I can't stop watching it. It's great. Anyway, Jim, how

482
00:28:31,359 --> 00:28:34,760
Speaker 1: are you. I'm doing well. It's a pleasure to be

483
00:28:34,760 --> 00:28:37,000
Speaker 1: able to talk to you today. It's anna to talk

484
00:28:37,040 --> 00:28:40,400
Speaker 1: to you. Now. You raise cattle. How many cattle you got? Oh?

485
00:28:40,520 --> 00:28:42,680
Speaker 1: Right now? We're running about a hundred. We have a

486
00:28:42,800 --> 00:28:47,760
Speaker 1: seed stock operation, so we supply heifer's females to other

487
00:28:47,960 --> 00:28:52,200
Speaker 1: commercial breeders, and we supply bulls. And I just kind

488
00:28:52,200 --> 00:28:54,520
Speaker 1: of wanted to talk to you a little bit about

489
00:28:54,520 --> 00:28:58,840
Speaker 1: what goes into our decisions to come up with premium

490
00:28:58,880 --> 00:29:02,840
Speaker 1: animals to sell it people. We DNA these animals and

491
00:29:02,920 --> 00:29:08,479
Speaker 1: apply the DNA to specific traits that they all carry. Now, Jim, well,

492
00:29:08,520 --> 00:29:11,880
Speaker 1: you're describing it constitutes too much gray matter. I can't

493
00:29:11,880 --> 00:29:14,520
Speaker 1: believe that that's true, that you're that intelligent. I mean,

494
00:29:14,640 --> 00:29:18,040
Speaker 1: you need more gray matter. According to Michael Bloomberg, we

495
00:29:18,440 --> 00:29:22,000
Speaker 1: also run and farm this place, so that you got

496
00:29:22,000 --> 00:29:25,040
Speaker 1: to be a carpenter, which I was a building contractor

497
00:29:25,520 --> 00:29:28,240
Speaker 1: till I was about forty five years old. I'm sixty.

498
00:29:28,320 --> 00:29:32,560
Speaker 1: Now you will meet both by the way you have

499
00:29:32,600 --> 00:29:35,280
Speaker 1: to be a mechanic and the equipment you work on

500
00:29:35,320 --> 00:29:39,239
Speaker 1: as heavy, heavy technical stuff. It's not just like an

501
00:29:39,240 --> 00:29:42,600
Speaker 1: old time car engine. I can't believe you're saying that

502
00:29:42,680 --> 00:29:45,600
Speaker 1: there's this level of sophistication when all it takes is

503
00:29:45,640 --> 00:29:47,720
Speaker 1: you just dig a hole, you put some dirt over it,

504
00:29:47,760 --> 00:29:49,240
Speaker 1: and put a little water on it. I can teach

505
00:29:49,280 --> 00:29:52,120
Speaker 1: anyone to be a farmer, and certainly a cattle ranger, right,

506
00:29:52,160 --> 00:29:54,880
Speaker 1: I mean, I guess I guess I'd have to learn

507
00:29:54,880 --> 00:29:56,480
Speaker 1: how to do a little rope in maybe, but that

508
00:29:56,520 --> 00:30:02,160
Speaker 1: can't be that hard, right. Well, I'll spend probably a

509
00:30:02,280 --> 00:30:05,800
Speaker 1: week every night in the evening, going through different bowls

510
00:30:05,880 --> 00:30:08,720
Speaker 1: and their genetic traits to match them up with certain

511
00:30:08,800 --> 00:30:11,320
Speaker 1: cows we have, so that I can come up with

512
00:30:11,360 --> 00:30:14,280
Speaker 1: a product that people want to buy to improve the

513
00:30:14,320 --> 00:30:17,920
Speaker 1: genetics of their heard. And that's what it's about. Is

514
00:30:18,520 --> 00:30:25,479
Speaker 1: that sounds like sophisticated DNA advanced cattle ranching to me,

515
00:30:25,720 --> 00:30:29,000
Speaker 1: and thank God for you, Jim, God bless you. Alterownd

516
00:30:29,040 --> 00:30:32,360
Speaker 1: them so we know how much intermuscular fact they have

517
00:30:32,480 --> 00:30:35,440
Speaker 1: or marbling. We ultrasound them so we know the size

518
00:30:35,440 --> 00:30:39,320
Speaker 1: of their rib eyes. Wow, you know, to improve the

519
00:30:39,360 --> 00:30:43,360
Speaker 1: carcass and the marbling in them. There's people don't understand.

520
00:30:43,520 --> 00:30:45,720
Speaker 1: When I go buy a steak at a local steakhouse.

521
00:30:45,720 --> 00:30:48,720
Speaker 1: There's a lot of work behind that, oh man, a

522
00:30:48,720 --> 00:30:51,360
Speaker 1: lot of science. And you know, I want to say

523
00:30:51,400 --> 00:30:54,160
Speaker 1: thank you though marbling. And my wife said, why do

524
00:30:54,160 --> 00:30:56,800
Speaker 1: you want to increase the marbling. We're selling protein. We

525
00:30:56,880 --> 00:30:59,400
Speaker 1: got to compete. It sells better. That's why it tastes

526
00:30:59,400 --> 00:31:01,000
Speaker 1: better with the marble. And this is the end. So

527
00:31:01,080 --> 00:31:04,280
Speaker 1: I can answer that part. Thank you, Jim, God bless you.

528
00:31:04,840 --> 00:31:07,280
Speaker 1: Rowdy and Georgie, you only have thirty seconds of peanut

529
00:31:07,400 --> 00:31:14,080
Speaker 1: corn and watermelons yes, sir. Wow, how's the business? Business

530
00:31:14,160 --> 00:31:17,040
Speaker 1: is great? Thanks Lord, And UH just wanted to mention

531
00:31:17,080 --> 00:31:19,080
Speaker 1: to you real quick that I just don't think it's

532
00:31:19,160 --> 00:31:21,960
Speaker 1: right that rich politicians is able to walk on the

533
00:31:21,960 --> 00:31:25,000
Speaker 1: back of the hard working American man at downplay it

534
00:31:25,120 --> 00:31:26,959
Speaker 1: when we do all that we can do to provide

535
00:31:27,000 --> 00:31:29,760
Speaker 1: for our families who work daylight, the dark, and most

536
00:31:29,760 --> 00:31:33,080
Speaker 1: time into the dark. And Uh, it just really it

537
00:31:33,400 --> 00:31:35,560
Speaker 1: pisses me off and able to do that, Sean and

538
00:31:35,680 --> 00:31:39,680
Speaker 1: Uh discussed you know what it is. It's ignorance, and

539
00:31:39,760 --> 00:31:43,640
Speaker 1: it's insulting, and it's arrogant, and it's elitist. And I

540
00:31:43,720 --> 00:31:46,520
Speaker 1: can't he would like to invite him to come to

541
00:31:46,600 --> 00:31:49,320
Speaker 1: my farm. And I bet you he couldn't make an

542
00:31:49,320 --> 00:31:51,360
Speaker 1: eight hour a day. They ain't, they ain't. They ain't

543
00:31:51,360 --> 00:31:53,000
Speaker 1: want him up there, didn't make an eight hour day

544
00:31:53,040 --> 00:31:55,880
Speaker 1: with a real man working on the farm. Wow, you

545
00:31:55,920 --> 00:31:58,880
Speaker 1: said it. Well. Listen, I love peanut butter, I love peanuts.

546
00:31:58,920 --> 00:32:03,880
Speaker 1: I love corn and watermelon. Farmer, Mike, listen up, Mike,

547
00:32:04,960 --> 00:32:10,160
Speaker 1: thank you. Where the green bass rows? Watch my corn

548
00:32:10,880 --> 00:32:24,840
Speaker 1: in rows? Not be to get closed the charge. I

549
00:32:24,960 --> 00:32:28,320
Speaker 1: think I'll I think I'll hang out with farmers over

550
00:32:29,160 --> 00:32:33,760
Speaker 1: the elitist, arrogant Mike Bloomberg any day. The agrarian society

551
00:32:33,840 --> 00:32:37,480
Speaker 1: lasted three thousand years, and we could teach processes. I

552
00:32:37,480 --> 00:32:40,080
Speaker 1: could teach anybody, even people in this room. So no

553
00:32:40,120 --> 00:32:43,720
Speaker 1: offence intended to be a farmer. It's a processing. You

554
00:32:43,760 --> 00:32:45,600
Speaker 1: dig a hole, you put a seed in, you put

555
00:32:45,640 --> 00:32:47,440
Speaker 1: dirt on top. I had water up comes the corn.

556
00:32:47,720 --> 00:32:49,560
Speaker 1: Then we had three hundred You could learn that. And

557
00:32:49,600 --> 00:32:54,320
Speaker 1: the information economy is fundamentally different because it's built around

558
00:32:54,480 --> 00:33:00,880
Speaker 1: replacing people with technology, and the skill sets that you

559
00:33:01,000 --> 00:33:04,720
Speaker 1: have to learn are how to think and analyze, and

560
00:33:04,840 --> 00:33:09,720
Speaker 1: that is a whole degree level different. You have to

561
00:33:09,800 --> 00:33:11,760
Speaker 1: have a different skill set, you have to have a

562
00:33:11,760 --> 00:33:15,440
Speaker 1: lot more gray matter. There's this enormous cohort of black

563
00:33:15,480 --> 00:33:19,080
Speaker 1: and Latino males age let's say sixteen to twenty five

564
00:33:19,680 --> 00:33:23,560
Speaker 1: that don't have jobs, don't have any prospects, don't know

565
00:33:23,680 --> 00:33:27,560
Speaker 1: how to find jobs, don't know that they what their

566
00:33:27,600 --> 00:33:30,360
Speaker 1: skill sets are, don't know how to behave in the

567
00:33:30,400 --> 00:33:34,560
Speaker 1: workplace where they have to work. The people who are

568
00:33:34,560 --> 00:33:38,080
Speaker 1: going to have the biggest problem are college graduates who

569
00:33:38,120 --> 00:33:41,360
Speaker 1: aren't rocket scientists. If you will not at the top

570
00:33:41,360 --> 00:33:44,200
Speaker 1: of the class. Compare a plumber to going to Harvard College.

571
00:33:44,640 --> 00:33:47,720
Speaker 1: Being a plumber actually, for the average person, probably would

572
00:33:47,720 --> 00:33:50,560
Speaker 1: be a better deal because you don't spend four years

573
00:33:50,600 --> 00:33:53,640
Speaker 1: spending forty fifty thousand dollars tuition and no income. All right,

574
00:33:53,680 --> 00:33:56,440
Speaker 1: our two Sean Hannity Show, eight hundred nine, Pour one, Sean,

575
00:33:56,480 --> 00:33:58,760
Speaker 1: if you want to be a part of the program, Yeah,

576
00:33:58,760 --> 00:34:01,600
Speaker 1: he knows the great farmer that is, Well, you dig

577
00:34:01,600 --> 00:34:03,480
Speaker 1: a hole, you stick a seat in it, put some

578
00:34:03,600 --> 00:34:05,239
Speaker 1: dirt on it, you water, and I could teach all

579
00:34:05,280 --> 00:34:07,920
Speaker 1: of you how to be farmers. I mean beyond ignorant

580
00:34:08,320 --> 00:34:11,279
Speaker 1: black and Latino males. They don't have to behave in

581
00:34:11,320 --> 00:34:18,239
Speaker 1: the workplace. I'm like, what I mean, these broad sweeping generalizations. Now,

582
00:34:18,239 --> 00:34:22,319
Speaker 1: it's now we have condescending remarks against plumbers. And it

583
00:34:22,320 --> 00:34:25,520
Speaker 1: doesn't start, it doesn't stop there. You know, murder murderers,

584
00:34:25,600 --> 00:34:28,600
Speaker 1: murder victims fit one m O. Just take the description

585
00:34:28,640 --> 00:34:31,040
Speaker 1: you xerox that you pass it out to all the cops.

586
00:34:31,600 --> 00:34:34,920
Speaker 1: They are male minorities sixteen to twenty five true in

587
00:34:35,000 --> 00:34:40,440
Speaker 1: New York, true and virtually every city. Okay, Uh, I'm like,

588
00:34:40,600 --> 00:34:43,160
Speaker 1: really that's what that's that's how you think so um

589
00:34:43,360 --> 00:34:45,440
Speaker 1: people say, oh, my gosh, but you're resting kids from

590
00:34:46,000 --> 00:34:50,560
Speaker 1: marijuana and they're all minorities. Yes, that's true, all minorities.

591
00:34:50,719 --> 00:34:54,200
Speaker 1: Why because we put all, not some, all the cops

592
00:34:54,239 --> 00:34:56,360
Speaker 1: of minority neighborhood. So yeah, it's true. Why do we

593
00:34:56,400 --> 00:34:58,719
Speaker 1: do it? Because that's where all the crime is. And

594
00:34:58,800 --> 00:35:02,640
Speaker 1: now it goes to further Okay, this is the flavor

595
00:35:02,680 --> 00:35:04,799
Speaker 1: of the week for the Democrats. You know. Now we're

596
00:35:04,840 --> 00:35:06,880
Speaker 1: talking about You dig a hole, you put a seat

597
00:35:06,880 --> 00:35:08,600
Speaker 1: in it, you put your dirt on top of it,

598
00:35:08,680 --> 00:35:11,400
Speaker 1: add water, and upcomes the corn. I'm like, oh, is

599
00:35:11,440 --> 00:35:13,440
Speaker 1: that how farmers do it? I had no idea. I

600
00:35:13,440 --> 00:35:15,759
Speaker 1: thought it was a little more complicated than that. How

601
00:35:15,880 --> 00:35:19,080
Speaker 1: is it that? Yeah? Are farmers now the level of

602
00:35:19,160 --> 00:35:23,000
Speaker 1: sophistication and the hybrids that they breed and his housekeeper

603
00:35:23,080 --> 00:35:26,760
Speaker 1: comment and you know the Washington Post about oh you're pregnant,

604
00:35:27,040 --> 00:35:29,920
Speaker 1: you need to kill it? Oh okay really and all

605
00:35:29,960 --> 00:35:32,480
Speaker 1: the other things. But anyway, eight hundred and nine for

606
00:35:32,640 --> 00:35:34,560
Speaker 1: one Shaun is hotel free telephone number. You want to

607
00:35:34,600 --> 00:35:36,920
Speaker 1: be a part of the program. Kerry Pickett. She is

608
00:35:36,960 --> 00:35:41,200
Speaker 1: the one that found this new quote black and Latinos

609
00:35:41,280 --> 00:35:44,080
Speaker 1: don't know how to behave in the workplace. She is

610
00:35:44,120 --> 00:35:48,120
Speaker 1: with the Washington Examiner. Also, Vince Ellison is with US

611
00:35:48,160 --> 00:35:50,640
Speaker 1: Conservative column This lecturer author of the book The Iron

612
00:35:50,719 --> 00:35:53,759
Speaker 1: trying go welcome both of the program. I have a

613
00:35:53,800 --> 00:35:55,920
Speaker 1: feeling that this is going to be just the beginning.

614
00:35:56,000 --> 00:36:00,600
Speaker 1: So let's see, he's now insulted farmers. Oh, he's telling

615
00:36:00,640 --> 00:36:04,279
Speaker 1: old people Kerry that, ah, you're old enough, we're not

616
00:36:04,320 --> 00:36:07,440
Speaker 1: going to treat your cancer. Go home, die, sorry, we

617
00:36:07,520 --> 00:36:10,640
Speaker 1: can't afford it. Then of course he's insulting women at

618
00:36:10,640 --> 00:36:12,960
Speaker 1: a pretty high level. Then it's throw him up against

619
00:36:13,000 --> 00:36:15,959
Speaker 1: the wall and all the comments racial comments that he made,

620
00:36:16,000 --> 00:36:19,080
Speaker 1: and all the crime is in all only black communities

621
00:36:19,200 --> 00:36:22,040
Speaker 1: where we put all the cops. Now, why do I

622
00:36:22,080 --> 00:36:24,440
Speaker 1: think if this was Donald Trump or a a Republican running

623
00:36:24,440 --> 00:36:27,880
Speaker 1: for president and be a different, different response from the

624
00:36:27,920 --> 00:36:31,120
Speaker 1: mob and the media. Well, well, Sean, here's the thing.

625
00:36:31,239 --> 00:36:35,279
Speaker 1: If you remember, going way back to when Mayor Mike

626
00:36:35,440 --> 00:36:39,000
Speaker 1: Michael Bloomberg first ran for office, when he was ranked

627
00:36:39,040 --> 00:36:43,399
Speaker 1: for mayor, he had a much easier time as far

628
00:36:43,440 --> 00:36:46,200
Speaker 1: as his campaign was concerned, because remember it was right

629
00:36:46,239 --> 00:36:49,840
Speaker 1: after nine to eleven. He switched parties to become a

630
00:36:49,880 --> 00:36:54,319
Speaker 1: Republican with the blessing of a Rudy Giuliani, and he

631
00:36:54,360 --> 00:36:56,680
Speaker 1: was going up against to Mark Green, he was the

632
00:36:56,800 --> 00:36:59,680
Speaker 1: public advocate at the time, and he easily crushed him.

633
00:37:00,080 --> 00:37:02,960
Speaker 1: So he wasn't really tested. He didn't really have to

634
00:37:03,000 --> 00:37:06,399
Speaker 1: go on the campaign trail. And now what he did

635
00:37:06,480 --> 00:37:10,280
Speaker 1: is he purposely dodged out of the Democratic primary because

636
00:37:10,280 --> 00:37:12,480
Speaker 1: it was that a million people and it said, oh,

637
00:37:12,520 --> 00:37:15,120
Speaker 1: I'll just do it as a Republican exactly, you know,

638
00:37:15,160 --> 00:37:18,160
Speaker 1: which was bypassing the system. Mean, never was a Republican,

639
00:37:18,480 --> 00:37:21,960
Speaker 1: and he didn't accomplish next to nothing except he was

640
00:37:22,000 --> 00:37:25,680
Speaker 1: a caretaker for Rudy's policies, which now he's denouncing seventeen

641
00:37:25,760 --> 00:37:29,560
Speaker 1: years later because he's playing identity politics exactly. And so

642
00:37:29,600 --> 00:37:32,640
Speaker 1: he never really was tested on the campaign trail. No

643
00:37:32,640 --> 00:37:36,160
Speaker 1: one ever really shot a lot of arrows at him.

644
00:37:36,200 --> 00:37:39,560
Speaker 1: So now here we are, many years later, very similar

645
00:37:39,600 --> 00:37:42,560
Speaker 1: to Hillary Clinton, where she was never tested on the

646
00:37:42,600 --> 00:37:45,719
Speaker 1: campaign trail when she ran presentator. He all of a

647
00:37:45,760 --> 00:37:48,560
Speaker 1: sudden is having to deal with a lot of previous

648
00:37:48,600 --> 00:37:53,200
Speaker 1: comments that he made as mayor and he is going

649
00:37:53,239 --> 00:37:56,520
Speaker 1: to have to account for them. And I'm very curious.

650
00:37:56,760 --> 00:38:00,200
Speaker 1: I'm over here in Richmond, Virginia right now asking a

651
00:38:00,280 --> 00:38:04,600
Speaker 1: number of legislators as well as Virginians as to whether

652
00:38:04,719 --> 00:38:07,759
Speaker 1: or not they can vote for him on Super Tuesday.

653
00:38:08,200 --> 00:38:11,319
Speaker 1: Um with these comments that he made, even though he

654
00:38:11,360 --> 00:38:13,759
Speaker 1: gave a lot of money to a number of campaigns

655
00:38:13,880 --> 00:38:16,640
Speaker 1: here that helped them get the majority here in the capital.

656
00:38:17,200 --> 00:38:20,359
Speaker 1: Vince Allison, your take on all of this, well, man,

657
00:38:20,400 --> 00:38:23,440
Speaker 1: this is that groundholiday for me. You know, they've always

658
00:38:23,440 --> 00:38:28,000
Speaker 1: been displaced for them. Concerned are you? When you read

659
00:38:28,040 --> 00:38:31,839
Speaker 1: John Locke's second Taries concerning civil government, talks about these

660
00:38:31,920 --> 00:38:35,040
Speaker 1: unagienable rights that we have, and the one is freedom

661
00:38:35,040 --> 00:38:38,080
Speaker 1: of religion, freedom of press, you know, the freedom of self.

662
00:38:38,120 --> 00:38:41,000
Speaker 1: That front fences one of them, and it's an unagienable right.

663
00:38:41,200 --> 00:38:44,480
Speaker 1: And ever since the end of the Civil War, the

664
00:38:44,560 --> 00:38:47,160
Speaker 1: Kukla clans formed, and one of their reasons of forming

665
00:38:47,160 --> 00:38:48,960
Speaker 1: and they were the Democrat They were the military wing

666
00:38:48,960 --> 00:38:52,719
Speaker 1: of the Democrat project for them. Once he freed men

667
00:38:53,040 --> 00:38:57,360
Speaker 1: disarmed and so the Democrat Party has been doing this

668
00:38:57,600 --> 00:39:01,200
Speaker 1: for God. But ever since they around, they've been keeping

669
00:39:01,200 --> 00:39:04,040
Speaker 1: black men that's armed. They're afraid of them. Bloomberg and

670
00:39:04,560 --> 00:39:06,919
Speaker 1: Jim clib and I tweeted out a video of him

671
00:39:07,840 --> 00:39:13,200
Speaker 1: this morning saying that asked about the black unemployment features

672
00:39:13,280 --> 00:39:16,360
Speaker 1: under Trump, these records low unemployment, he made this. He

673
00:39:16,480 --> 00:39:18,680
Speaker 1: compared it to uh He said, well, when black people

674
00:39:18,719 --> 00:39:21,880
Speaker 1: were enslaved, everybody were employed. So you know, they they

675
00:39:22,280 --> 00:39:27,719
Speaker 1: have these condescending views of working people of African Americans. Explicitly,

676
00:39:28,000 --> 00:39:30,440
Speaker 1: they've always seen black men as something to see it.

677
00:39:30,760 --> 00:39:36,040
Speaker 1: They've always decided to lock us up, mass incarceration, what

678
00:39:36,200 --> 00:39:38,160
Speaker 1: he talked about, grabbing them and put them up against

679
00:39:38,200 --> 00:39:41,279
Speaker 1: the wall and treat them disrespectfully. Yeah, that's what they do.

680
00:39:41,400 --> 00:39:43,439
Speaker 1: And there's never been a time in American history Sean

681
00:39:43,440 --> 00:39:46,200
Speaker 1: where they haven't. They've always done it. They're doing it today.

682
00:39:46,200 --> 00:39:48,399
Speaker 1: And I can guarantee you that the majority, not all,

683
00:39:48,440 --> 00:39:52,120
Speaker 1: but the majority of the black politicians, the majority of

684
00:39:52,120 --> 00:39:55,200
Speaker 1: the black legislators, the majority of the black preachers, and

685
00:39:55,280 --> 00:39:57,680
Speaker 1: the majority of the black civic organizers are going to

686
00:39:57,760 --> 00:40:00,920
Speaker 1: take bloombirds money. It doesn't matter what he's done, it

687
00:40:00,920 --> 00:40:03,480
Speaker 1: doesn't matter what he said. You can get a picture

688
00:40:03,480 --> 00:40:06,000
Speaker 1: of Mike Bloomberg beating the heck of a out of

689
00:40:06,040 --> 00:40:08,160
Speaker 1: a black man on Fifth Avenue in New York City,

690
00:40:08,360 --> 00:40:10,759
Speaker 1: and they're still going to support him because that is

691
00:40:10,800 --> 00:40:14,560
Speaker 1: what they do. They shut about themselves and I'm not schup. Listen.

692
00:40:15,120 --> 00:40:17,600
Speaker 1: One of the things that we've noticed is, Okay, now

693
00:40:17,640 --> 00:40:21,520
Speaker 1: the president runs in twenty sixteen, and again it's part

694
00:40:21,560 --> 00:40:24,720
Speaker 1: of the Democratic base. They count on African American voters

695
00:40:24,760 --> 00:40:29,080
Speaker 1: and they say that, you know, Republicans are sexist and

696
00:40:29,360 --> 00:40:34,120
Speaker 1: misogynist and racist and homophobic, etc. But you got Bloomberg

697
00:40:34,160 --> 00:40:36,560
Speaker 1: attacking all of these groups, saying things that if Donald

698
00:40:36,560 --> 00:40:39,120
Speaker 1: Trump ever said, I guarantee you, it would be twenty

699
00:40:39,120 --> 00:40:41,960
Speaker 1: four to seven, three sixty five for the next two

700
00:40:42,040 --> 00:40:45,040
Speaker 1: hundred and fifty nine days to election day of them

701
00:40:45,080 --> 00:40:48,879
Speaker 1: attacking them. And yet there seems to be silence because, oh,

702
00:40:48,880 --> 00:40:52,800
Speaker 1: we may need him carry Pickett and we're willing overlook

703
00:40:52,800 --> 00:40:55,120
Speaker 1: a whole variety of sins only for one reason he's

704
00:40:55,160 --> 00:40:59,480
Speaker 1: not Donald Trump. Yes, that is something that tends to

705
00:40:59,480 --> 00:41:03,200
Speaker 1: happen off and we even saw that specifically going back

706
00:41:03,200 --> 00:41:06,040
Speaker 1: to his days in a New York City when he

707
00:41:06,120 --> 00:41:09,000
Speaker 1: ran for a third term, or he gave himself essentially

708
00:41:09,080 --> 00:41:11,480
Speaker 1: a third term. One of the things that was reported

709
00:41:11,520 --> 00:41:15,040
Speaker 1: back in twenty ten was one hundred and fifteen thousand

710
00:41:15,080 --> 00:41:19,359
Speaker 1: dollars grant that was given to Al Sharpton's organization, and

711
00:41:20,880 --> 00:41:25,200
Speaker 1: essentially or whether reportedly according to the New York Deli News,

712
00:41:25,440 --> 00:41:28,560
Speaker 1: said that he was willing to overlook the third term

713
00:41:28,880 --> 00:41:34,600
Speaker 1: that Bloomberg essentially gave himself through the New York lawmakers

714
00:41:34,600 --> 00:41:36,680
Speaker 1: in the city, so he didn't go out and a

715
00:41:36,760 --> 00:41:38,839
Speaker 1: protest him at the time. So that was something that

716
00:41:38,880 --> 00:41:40,960
Speaker 1: was very interesting. The only thing Bloomberg had to do

717
00:41:41,120 --> 00:41:43,560
Speaker 1: was go off and pay off New York City lawmakers

718
00:41:43,560 --> 00:41:46,760
Speaker 1: and Al Sharpton. So yeah, this was something that Bloomberg

719
00:41:46,840 --> 00:41:48,279
Speaker 1: is essentially used to. Now he's trying to do it

720
00:41:48,280 --> 00:41:50,440
Speaker 1: again on a national scale, and let's see how that

721
00:41:50,480 --> 00:41:52,160
Speaker 1: works out for him. I'm not too sure about that.

722
00:41:52,280 --> 00:41:54,000
Speaker 1: I'm not that sure either. I mean, do you think

723
00:41:54,040 --> 00:41:56,040
Speaker 1: he ends up getting a pass here? Le Look, we've

724
00:41:56,040 --> 00:41:58,600
Speaker 1: had moments where Buddha Judge was surging and then he

725
00:41:58,640 --> 00:42:02,320
Speaker 1: falls back, Warren surging, then she falls back, Bernie surges,

726
00:42:02,400 --> 00:42:05,319
Speaker 1: then he fell back, then he surged again. Now it's like,

727
00:42:05,360 --> 00:42:07,839
Speaker 1: all right, well, Biden, you know, I don't think they

728
00:42:07,840 --> 00:42:11,280
Speaker 1: can salvage Biden at this point. Bevin Sellison, so Okay,

729
00:42:11,480 --> 00:42:13,360
Speaker 1: what's the next step. All right, let's look to Plan B.

730
00:42:13,560 --> 00:42:16,399
Speaker 1: Plan B is Bloomberg. Now, all this stuff comes out

731
00:42:16,440 --> 00:42:21,560
Speaker 1: about Bloomberg and women, Bloomberg and minorities, Bloomberg's with the

732
00:42:21,640 --> 00:42:25,520
Speaker 1: gay and lesbian community, Bloomberg with oh you're old enough,

733
00:42:25,600 --> 00:42:28,759
Speaker 1: you should die, which, okay, does does that have an

734
00:42:28,800 --> 00:42:31,239
Speaker 1: impact on people's solve process or is it just he's

735
00:42:31,239 --> 00:42:33,160
Speaker 1: not Trump? It's okay, Well, I'm gonna tell you this.

736
00:42:33,520 --> 00:42:37,399
Speaker 1: Donald Trump's support wherever it is, this aloud is about deep.

737
00:42:37,560 --> 00:42:40,279
Speaker 1: The people that love Donald Trump loves Donald Trump, and

738
00:42:40,320 --> 00:42:44,080
Speaker 1: they're not going to jump the wagon because Bloomberg. But

739
00:42:44,160 --> 00:42:46,399
Speaker 1: what you're having now, you're having a food fight over

740
00:42:46,480 --> 00:42:51,040
Speaker 1: at the Democratic Party. And right now said Biden is

741
00:42:51,280 --> 00:42:54,640
Speaker 1: loosing his money up one basically hasn't doesn't have nearly

742
00:42:54,680 --> 00:42:58,279
Speaker 1: the money that Bloomberg has. And Bloomberg he is just

743
00:42:58,480 --> 00:43:01,000
Speaker 1: raining money on his side, and he's going to do

744
00:43:01,080 --> 00:43:03,719
Speaker 1: what he did just like a sister stand. On the

745
00:43:03,719 --> 00:43:06,400
Speaker 1: other end, he's going to start buying politicians like you

746
00:43:06,520 --> 00:43:08,799
Speaker 1: bought al shot and believe me, a lot of them owned.

747
00:43:08,840 --> 00:43:11,000
Speaker 1: That's that not all of them. A lot of them

748
00:43:11,040 --> 00:43:13,160
Speaker 1: are just last Shotton. They will take the money, and

749
00:43:13,200 --> 00:43:16,520
Speaker 1: they're gonna stide with Bloomberg because she's going to pay them. Period.

750
00:43:16,800 --> 00:43:19,960
Speaker 1: And as we continue, Kerry pick Evince Ellison with us.

751
00:43:20,280 --> 00:43:23,560
Speaker 1: So the President's policies as it relates to African Americans,

752
00:43:23,719 --> 00:43:27,640
Speaker 1: Asian Americans, Hispanic Americans, women in the workplace, youth unemployment,

753
00:43:27,680 --> 00:43:31,759
Speaker 1: African American youth unemployment. Okay, we can compare that to

754
00:43:32,239 --> 00:43:37,120
Speaker 1: big cities decades of liberal rule that has failed. I

755
00:43:37,160 --> 00:43:40,080
Speaker 1: can't believe that I even can that this is even

756
00:43:40,160 --> 00:43:43,800
Speaker 1: possible in today's America. But it is the city of Baltimore,

757
00:43:43,840 --> 00:43:48,880
Speaker 1: for example, thirteen high schools, not a single child proficient

758
00:43:49,000 --> 00:43:52,040
Speaker 1: math and reading, not one. How is that possible? How

759
00:43:52,160 --> 00:43:56,000
Speaker 1: is it possible with all the violence on just about

760
00:43:56,040 --> 00:43:59,480
Speaker 1: every weekend in the city of Chicago and it continues.

761
00:43:59,800 --> 00:44:04,120
Speaker 1: How is the great city of San Francisco doing, which

762
00:44:04,120 --> 00:44:07,239
Speaker 1: we've covered, the city of Los Angeles doing, the great

763
00:44:07,280 --> 00:44:09,239
Speaker 1: City of New York doing? Now that New York is

764
00:44:09,320 --> 00:44:12,680
Speaker 1: now you know, either sanctuary cities or states or no

765
00:44:12,800 --> 00:44:15,239
Speaker 1: bail states. You got a guy coming out of jail

766
00:44:15,600 --> 00:44:18,319
Speaker 1: rested one hundred and thirty nine times, thanking everybody for

767
00:44:18,440 --> 00:44:20,560
Speaker 1: letting him out of jail without bail, so he can

768
00:44:20,560 --> 00:44:24,000
Speaker 1: commit more crimes. But the question is, and I guess

769
00:44:24,080 --> 00:44:28,760
Speaker 1: voters will have to decide carry Pickett. Will the success

770
00:44:28,040 --> 00:44:32,360
Speaker 1: of specifically Donald Trump has had with minorities in America?

771
00:44:32,680 --> 00:44:35,560
Speaker 1: Will that eat into the Democratic base? Will people look

772
00:44:35,600 --> 00:44:38,200
Speaker 1: at the comments of Bloomberg and say, you know what

773
00:44:38,320 --> 00:44:40,879
Speaker 1: we can see through you. You're a phony, You're a politician.

774
00:44:41,280 --> 00:44:44,280
Speaker 1: You didn't say a word about stopping frisk for seventeen

775
00:44:44,360 --> 00:44:46,239
Speaker 1: years and the only reason you're doing it now is

776
00:44:46,239 --> 00:44:50,160
Speaker 1: for political expediency. Does he lose the elderly, the older

777
00:44:50,200 --> 00:44:52,359
Speaker 1: base because he says, yeah, we're gonna let you die

778
00:44:52,400 --> 00:44:54,600
Speaker 1: and not treat you because you're too old. Does he

779
00:44:54,719 --> 00:44:56,880
Speaker 1: lose women because of all these other issues that have

780
00:44:57,000 --> 00:45:00,640
Speaker 1: come up, These are big portions of the Democratic base.

781
00:45:00,719 --> 00:45:03,520
Speaker 1: Does he does the Donald Trump have an opportunity to

782
00:45:04,239 --> 00:45:07,799
Speaker 1: get those voters. I think where Donald Trump really does

783
00:45:07,880 --> 00:45:10,480
Speaker 1: tend to succeed in in all of those different elements

784
00:45:10,520 --> 00:45:13,960
Speaker 1: there is that he comes off as a law and

785
00:45:14,200 --> 00:45:18,200
Speaker 1: order president, especially in a number of areas where we

786
00:45:18,239 --> 00:45:23,360
Speaker 1: have seen crime spike, especially when people are are actually

787
00:45:23,400 --> 00:45:30,440
Speaker 1: seeing Democrats coming off as as unfortunately uh having this

788
00:45:30,520 --> 00:45:37,759
Speaker 1: sort of pro criminal of agenda right now. And it's

789
00:45:37,840 --> 00:45:40,600
Speaker 1: unfortunate because there are a number of Democrats right now

790
00:45:40,640 --> 00:45:44,040
Speaker 1: who really don't want to have that image. I mean, look,

791
00:45:44,040 --> 00:45:46,799
Speaker 1: I've spoken to a number a number of Democrats up

792
00:45:46,800 --> 00:45:50,480
Speaker 1: on Capitol Hill who feel very uncomfortable about that, and

793
00:45:50,640 --> 00:45:54,600
Speaker 1: they don't like a number of of laws that has

794
00:45:54,600 --> 00:45:58,799
Speaker 1: been passed, for example up in Albany that have that

795
00:45:58,920 --> 00:46:01,880
Speaker 1: have really hurt yea communities over in New York that

796
00:46:01,960 --> 00:46:05,080
Speaker 1: have also heard the communities over in over in California

797
00:46:05,120 --> 00:46:08,560
Speaker 1: and other states. So this could be an opportunity for

798
00:46:08,560 --> 00:46:12,000
Speaker 1: for uch fun. But in the same light, uh, if

799
00:46:11,200 --> 00:46:16,080
Speaker 1: the if the Democrats begin to make some good negotiations

800
00:46:16,120 --> 00:46:19,400
Speaker 1: and start to you know, begin to put pressure on

801
00:46:19,440 --> 00:46:23,080
Speaker 1: their on their own colleagues, it could make a difference.

802
00:46:23,120 --> 00:46:25,680
Speaker 1: But we'll see. Well, I don't disagree. What do you think, Vince,

803
00:46:25,760 --> 00:46:27,640
Speaker 1: is they're going to be a shift. I mean, because

804
00:46:27,640 --> 00:46:30,399
Speaker 1: these are votes that Democrats have counted on every two

805
00:46:30,480 --> 00:46:32,600
Speaker 1: four years. You know, you always hear the same thing

806
00:46:32,760 --> 00:46:37,960
Speaker 1: Republicans are racist, sexist, misogynist, homophobic, xenophobic, is lomophobic. But

807
00:46:38,400 --> 00:46:41,560
Speaker 1: I think these things are said falsely for a reason,

808
00:46:41,760 --> 00:46:44,719
Speaker 1: And the reason is is that they don't want big

809
00:46:44,760 --> 00:46:47,880
Speaker 1: portions of the Democratic base to go to the Republican Party,

810
00:46:47,960 --> 00:46:50,279
Speaker 1: so they just lie about them. That's textbook one on

811
00:46:50,280 --> 00:46:54,479
Speaker 1: one democratic politicking. Well, Donald Trump has changed the game.

812
00:46:54,719 --> 00:46:57,440
Speaker 1: He's gone over them. You used to have to ask

813
00:46:57,520 --> 00:46:59,680
Speaker 1: permission to go into their pulpits or get on their

814
00:46:59,760 --> 00:47:02,520
Speaker 1: chief shows, to get in the newspaper. John Trump now

815
00:47:02,600 --> 00:47:05,480
Speaker 1: goes straight to the iPhone. And because of that, people

816
00:47:05,480 --> 00:47:07,920
Speaker 1: are seeing that this is no longer true. There's some

817
00:47:08,200 --> 00:47:10,240
Speaker 1: that are going to be trapped in the system because

818
00:47:10,239 --> 00:47:12,440
Speaker 1: they have to depend on the system. Just five. But

819
00:47:12,560 --> 00:47:14,480
Speaker 1: then there are those that out there that are seen

820
00:47:14,520 --> 00:47:16,520
Speaker 1: that things are better. They're seeing that Trump is not

821
00:47:16,560 --> 00:47:19,120
Speaker 1: what they say he is. They are seeing what's going

822
00:47:19,120 --> 00:47:21,839
Speaker 1: on in the community, and the black community is still

823
00:47:22,120 --> 00:47:25,239
Speaker 1: very very religious. I gotta, I gotta let it go there.

824
00:47:25,320 --> 00:47:29,440
Speaker 1: Vince Ellison, thank you. Iron Triangle is his book. Carry Pickett,

825
00:47:29,440 --> 00:47:32,959
Speaker 1: Washington Examiner, thank you, eight hundred ninety four one. Sean,

826
00:47:33,000 --> 00:47:34,840
Speaker 1: you want to be a part of the program, Laura Trump.

827
00:47:35,440 --> 00:47:37,520
Speaker 1: At the top of the hour, we'll get to your calls.

828
00:47:38,280 --> 00:47:41,560
Speaker 1: Coming up next. More on the pardons that the president

829
00:47:41,600 --> 00:47:44,360
Speaker 1: gave out from earlier today, much more as we continue

830
00:47:44,360 --> 00:47:46,239
Speaker 1: eight hundred ninety four one Sean, you want to be

831
00:47:46,280 --> 00:47:48,279
Speaker 1: a part of the program? Quick break, right back. We'll

832
00:47:48,280 --> 00:47:50,520
Speaker 1: continue right twenty five to the top of the hour.

833
00:47:50,560 --> 00:47:52,320
Speaker 1: Eight hundred and nine four one Sean, you want to

834
00:47:52,320 --> 00:47:54,200
Speaker 1: be a part of the program. All right, let's let's

835
00:47:54,280 --> 00:47:56,319
Speaker 1: zip through a lot of phone calls here, a lot

836
00:47:56,360 --> 00:47:59,520
Speaker 1: of you have a lot to say, New York, Erica.

837
00:48:00,200 --> 00:48:03,080
Speaker 1: You're on the Sean Hannity Show. We're glad you called. Hi, Sean,

838
00:48:03,160 --> 00:48:05,359
Speaker 1: how are you? I'm good? Thank you? How are you?

839
00:48:06,080 --> 00:48:08,600
Speaker 1: I'm good. I hope I have some insight for you

840
00:48:08,719 --> 00:48:11,680
Speaker 1: and the listeners that would they'll find interesting. I am

841
00:48:11,800 --> 00:48:15,319
Speaker 1: an architect and I work for a lot of Bloomberg

842
00:48:15,400 --> 00:48:20,560
Speaker 1: type clientele, tech John and CEOs, masters of the universe,

843
00:48:21,920 --> 00:48:24,760
Speaker 1: So I think I have an interesting perspective. The comments

844
00:48:24,920 --> 00:48:28,880
Speaker 1: yesterday about farming and the industrial revolution and gray matter,

845
00:48:29,360 --> 00:48:32,279
Speaker 1: I was so angry when I heard that. I was.

846
00:48:32,840 --> 00:48:35,360
Speaker 1: I thought it was so insulting and out of touch.

847
00:48:35,960 --> 00:48:41,000
Speaker 1: And what I've come to realize through my work is

848
00:48:41,040 --> 00:48:45,440
Speaker 1: that there is there's smarts. You can be smart or

849
00:48:45,480 --> 00:48:50,319
Speaker 1: you can be wise. And what's the difference I've had,

850
00:48:50,560 --> 00:48:52,880
Speaker 1: You know, I've taught a CEO how to use a

851
00:48:52,920 --> 00:48:55,600
Speaker 1: tape measure because they did not know what the numbers

852
00:48:55,600 --> 00:48:59,440
Speaker 1: were for. I've plunged the toilet of you know you.

853
00:48:59,560 --> 00:49:02,040
Speaker 1: Everyone knows who these people are. I've plunged the toilet

854
00:49:02,200 --> 00:49:04,799
Speaker 1: clogged toilet of a tech giliant who didn't know how

855
00:49:04,800 --> 00:49:08,960
Speaker 1: to use a plunger. So a lot of people who

856
00:49:09,040 --> 00:49:13,719
Speaker 1: are so called smart today by today's standards, are not

857
00:49:13,800 --> 00:49:18,399
Speaker 1: necessarily wise. Listen either, you're talking about emotional intelligence, you're

858
00:49:18,400 --> 00:49:23,280
Speaker 1: talking about common sense, you're talking about you know, street smarts,

859
00:49:23,280 --> 00:49:25,920
Speaker 1: you're talking about you know what you can learn at

860
00:49:26,000 --> 00:49:28,759
Speaker 1: Harvard Business School. It's a combination. I'm gonna tell you this, though,

861
00:49:29,719 --> 00:49:33,680
Speaker 1: there is and I think, Erica, this is really vital.

862
00:49:34,440 --> 00:49:38,520
Speaker 1: There are people like I am amazed, Erica, maybe answer

863
00:49:38,600 --> 00:49:41,600
Speaker 1: this question for me. I want to know. Like, for example,

864
00:49:41,640 --> 00:49:43,560
Speaker 1: I go shopping all the time and people, what are

865
00:49:43,600 --> 00:49:45,839
Speaker 1: you doing here? And I'm like shopping? Why? Well, why

866
00:49:45,840 --> 00:49:48,520
Speaker 1: are you here? I'm like, because I like to eat, obviously,

867
00:49:48,800 --> 00:49:51,400
Speaker 1: look at my look at my basket. But I guess

868
00:49:51,400 --> 00:49:54,640
Speaker 1: I look at somebody like Bloomberg and I'm listening to him,

869
00:49:55,360 --> 00:49:59,120
Speaker 1: and I'm thinking, Wow, this this guy. All he knows

870
00:49:59,320 --> 00:50:01,280
Speaker 1: is that the food it is in as a refrigerator.

871
00:50:01,880 --> 00:50:05,239
Speaker 1: You know, that's how it got there. The art and

872
00:50:05,320 --> 00:50:10,560
Speaker 1: the science that goes into farming today is so sophisticated,

873
00:50:11,360 --> 00:50:17,400
Speaker 1: It is so spectacularly technologically advanced. It is such a

874
00:50:17,520 --> 00:50:20,680
Speaker 1: breathtaking level of ignorance. I don't know. I mean, look,

875
00:50:20,719 --> 00:50:22,240
Speaker 1: I think one of the best things that ever happened

876
00:50:22,239 --> 00:50:23,799
Speaker 1: to me Erica. And I don't know if your life

877
00:50:23,920 --> 00:50:26,600
Speaker 1: is I've worked in all those service industries. I've been

878
00:50:26,680 --> 00:50:30,000
Speaker 1: yelled at as a waiter and bartender, you know, washing dishes,

879
00:50:30,040 --> 00:50:33,640
Speaker 1: and my years as a contractor. But I will tell you,

880
00:50:33,840 --> 00:50:37,640
Speaker 1: I mean, wow, it's crazy. Well I think. I mean,

881
00:50:37,920 --> 00:50:42,360
Speaker 1: one of the takeaways of working for Bloomberg types is

882
00:50:42,440 --> 00:50:45,960
Speaker 1: what I've realized is it's really not very easy to

883
00:50:46,080 --> 00:50:50,040
Speaker 1: be that rich. And I've probably met two or three

884
00:50:50,080 --> 00:50:54,160
Speaker 1: families out of hundreds that can actually pull it off.

885
00:50:54,640 --> 00:50:59,160
Speaker 1: It's very difficult because you really do lose yourself and

886
00:50:59,400 --> 00:51:04,120
Speaker 1: lose your value system. You you, but anybody can lose

887
00:51:04,160 --> 00:51:06,799
Speaker 1: their value system. I mean, it's not unique to just

888
00:51:07,040 --> 00:51:11,160
Speaker 1: rich people or people that's harder. It's a lot harder.

889
00:51:12,160 --> 00:51:13,560
Speaker 1: But let me tell you something, all right, you could,

890
00:51:13,560 --> 00:51:16,120
Speaker 1: you could be riches can be. Let's say Bloomberg owns

891
00:51:16,200 --> 00:51:19,560
Speaker 1: fifteen private jets, which I'm sure he probably does, or whatever,

892
00:51:19,800 --> 00:51:24,320
Speaker 1: whatever stuff he owns, whatever mansions he owns, whatever places

893
00:51:24,400 --> 00:51:26,880
Speaker 1: he has. Let me tell you something that Bloomberg is

894
00:51:26,920 --> 00:51:28,680
Speaker 1: going to discover just like the rest of us, because

895
00:51:28,680 --> 00:51:30,959
Speaker 1: we're all dying at some point. We're out of here.

896
00:51:31,440 --> 00:51:33,720
Speaker 1: But you know what, you think you own your car,

897
00:51:33,880 --> 00:51:35,720
Speaker 1: you think you own your house, you think you're owning

898
00:51:35,840 --> 00:51:39,680
Speaker 1: his case, your jet, you think you own your mansions, whatever.

899
00:51:40,200 --> 00:51:43,279
Speaker 1: But guess what, we're all renters because the minute you leave,

900
00:51:43,320 --> 00:51:46,320
Speaker 1: somebody's going to be living in your mansion, flying your plane,

901
00:51:46,719 --> 00:51:52,000
Speaker 1: driving your fancy car, and and uh probably you know,

902
00:51:52,360 --> 00:51:57,439
Speaker 1: with your spouse eventually, you know, let's be honest, we're

903
00:51:57,440 --> 00:52:01,799
Speaker 1: all renters. The farmers not need Bloomberg. And I think

904
00:52:01,800 --> 00:52:05,120
Speaker 1: it really will become evident if there's a catastrophic event,

905
00:52:05,680 --> 00:52:09,560
Speaker 1: because if the power grid fails, if there's war, disease,

906
00:52:10,239 --> 00:52:13,520
Speaker 1: natural disaster, the Bloombergs are going to be the first,

907
00:52:13,800 --> 00:52:16,160
Speaker 1: the first people to go because they can't. They have

908
00:52:16,160 --> 00:52:21,439
Speaker 1: no survival skills or common sense. And I don't think

909
00:52:21,440 --> 00:52:23,120
Speaker 1: that you know, the way that it's going. I don't

910
00:52:23,120 --> 00:52:24,920
Speaker 1: think that they're going to people like that are going

911
00:52:24,960 --> 00:52:28,400
Speaker 1: to find it out. I'm telling you listen, I wonder

912
00:52:28,440 --> 00:52:30,640
Speaker 1: about people if they're ever stuck. And you know what

913
00:52:30,800 --> 00:52:34,120
Speaker 1: if something happens, you know, there's a test. Oh, I

914
00:52:34,160 --> 00:52:35,960
Speaker 1: know what it is. But buddy and mind's a doctor

915
00:52:35,960 --> 00:52:39,480
Speaker 1: and he sits on a board to for medical school entrance,

916
00:52:40,160 --> 00:52:43,120
Speaker 1: and you know, and you know, if you could if

917
00:52:43,640 --> 00:52:47,160
Speaker 1: armageddon happens and you can only pick like a school

918
00:52:47,160 --> 00:52:52,000
Speaker 1: teacher and a handyman and this person and that person,

919
00:52:52,120 --> 00:52:54,480
Speaker 1: it's very interesting. I don't get the exact wording of

920
00:52:54,480 --> 00:52:57,120
Speaker 1: it and bring it on the show, but it's very

921
00:52:57,200 --> 00:53:00,360
Speaker 1: very interesting to me. But I'll tell you who's the

922
00:53:00,360 --> 00:53:04,640
Speaker 1: smart one. Well, it's interesting. Well, one you'd want to

923
00:53:04,680 --> 00:53:07,799
Speaker 1: continue the race. So if your male, you'd pick at

924
00:53:07,880 --> 00:53:10,240
Speaker 1: least one of the three people you pick would be female.

925
00:53:10,600 --> 00:53:13,719
Speaker 1: If your female you pick one male. Uh. Secondly, you'd

926
00:53:13,719 --> 00:53:17,480
Speaker 1: want somebody that's innovative and handy and can build stuff.

927
00:53:18,600 --> 00:53:21,440
Speaker 1: And third maybe somebody with a medical background. And you know,

928
00:53:21,560 --> 00:53:23,840
Speaker 1: right up there with everything is if somebody's a farmer,

929
00:53:23,880 --> 00:53:26,359
Speaker 1: that means you can eat. So all of that would

930
00:53:26,480 --> 00:53:29,520
Speaker 1: all of that would play into it anyway. Good call Erica,

931
00:53:29,560 --> 00:53:30,960
Speaker 1: and it reminds me we played a little bit of

932
00:53:31,000 --> 00:53:34,960
Speaker 1: this yesterday. It's a Hank Williams Junior song, country Boy

933
00:53:35,000 --> 00:53:38,799
Speaker 1: Will Survive, And it's just it compares the life of

934
00:53:38,880 --> 00:53:42,439
Speaker 1: big city people and country people. And you know, look

935
00:53:42,440 --> 00:53:45,560
Speaker 1: at the don lemon, oh damn up people looking at them,

936
00:53:45,640 --> 00:53:49,440
Speaker 1: there maps in the lines and not paid drinking Ukrainian

937
00:53:49,480 --> 00:53:52,280
Speaker 1: who cares about Ukraine? You know, all that stuff, making

938
00:53:52,280 --> 00:53:56,320
Speaker 1: fun of irredeemable, deplorable, smelly Walmart shoppers. But Hank Williams

939
00:53:56,400 --> 00:54:02,120
Speaker 1: Junior makes a pretty good point in this song. Big

940
00:54:02,200 --> 00:54:06,080
Speaker 1: girl own whiskey and spoken too, ain't too many things.

941
00:54:06,120 --> 00:54:15,240
Speaker 1: He's old boys came to old bets and the homemade

942
00:54:15,520 --> 00:54:20,840
Speaker 1: wine and country boy candy for fine country boats cancer

943
00:54:20,960 --> 00:54:30,120
Speaker 1: fine because you can't se and you can't make a run.

944
00:54:30,239 --> 00:54:35,400
Speaker 1: Because when the moon boy Brad don't shot gone, we

945
00:54:35,600 --> 00:54:40,320
Speaker 1: save We see man, you ain't into this, but don't

946
00:54:40,520 --> 00:54:46,279
Speaker 1: give it down, I think he and then he talks

947
00:54:46,320 --> 00:54:48,800
Speaker 1: about like he's got a friend in a big city

948
00:54:49,440 --> 00:54:51,920
Speaker 1: and he always called me hell Billy, And then a

949
00:54:52,040 --> 00:54:54,000
Speaker 1: guy in the big city got killed. I mean, it's

950
00:54:54,040 --> 00:54:57,560
Speaker 1: part of the song. But it's amazing. Um those skills

951
00:54:57,760 --> 00:55:01,279
Speaker 1: life set skills that people have. You know, I'd like

952
00:55:01,360 --> 00:55:03,600
Speaker 1: to see Bloomberg. Here's something I'd like to say. I'd

953
00:55:03,600 --> 00:55:06,360
Speaker 1: like to see Bloomberg out in the fields, you know,

954
00:55:06,640 --> 00:55:10,000
Speaker 1: digging the hole, putting in the seed, putting some dirt

955
00:55:10,080 --> 00:55:13,560
Speaker 1: over it, and watering it. Did he forget that weeds

956
00:55:13,600 --> 00:55:15,799
Speaker 1: grow up around it? Did he forget that you got

957
00:55:15,920 --> 00:55:17,640
Speaker 1: to hoe all the weeds around it? I also to

958
00:55:17,680 --> 00:55:20,640
Speaker 1: strangle the plant whatever it happens to be. Does he

959
00:55:20,800 --> 00:55:24,200
Speaker 1: know the amount of fertilizer that might be needed? Does

960
00:55:24,239 --> 00:55:26,799
Speaker 1: he know what to do when the soil turns bad

961
00:55:27,040 --> 00:55:30,800
Speaker 1: or alkaline or not the proper pH balance? Does he

962
00:55:30,920 --> 00:55:33,239
Speaker 1: know any of that science? Just drop a seed in there?

963
00:55:34,000 --> 00:55:39,400
Speaker 1: But it's breathtaking arrogance. I mean I never forget, you know,

964
00:55:39,560 --> 00:55:45,239
Speaker 1: think of likes. It goes into the same thinking or

965
00:55:45,360 --> 00:55:48,200
Speaker 1: thought process to me. And I think there's an important

966
00:55:48,280 --> 00:55:51,920
Speaker 1: question to have because I think farmers are great. You know,

967
00:55:52,160 --> 00:55:56,080
Speaker 1: think of everything you buy at Walmart smelly Trump supporting

968
00:55:56,080 --> 00:55:59,240
Speaker 1: Walmart shop or everything you buy the grocery store, everything

969
00:55:59,280 --> 00:56:02,719
Speaker 1: you buy at the mall, everything you buy online. Well,

970
00:56:02,760 --> 00:56:04,880
Speaker 1: guess how it gets there. We have a bunch of

971
00:56:05,080 --> 00:56:08,120
Speaker 1: we have truckers that take everything to and fro. No truckers.

972
00:56:08,520 --> 00:56:10,960
Speaker 1: Guess what, You're not getting any products that you buy

973
00:56:11,080 --> 00:56:14,600
Speaker 1: online and you expect chipped overnight at your convenience, next

974
00:56:14,680 --> 00:56:18,400
Speaker 1: day delivery. You don't get it. And it's you know,

975
00:56:18,840 --> 00:56:21,920
Speaker 1: think about Okay, what if I've always said that no

976
00:56:22,080 --> 00:56:26,480
Speaker 1: matter what in life, no matter what you do, you

977
00:56:26,520 --> 00:56:29,480
Speaker 1: always get more back. And what does that mean? Okay,

978
00:56:29,600 --> 00:56:32,320
Speaker 1: so you go out and we're all in the service

979
00:56:32,400 --> 00:56:35,520
Speaker 1: industry of some kind, right, you know, we're providing goods

980
00:56:35,520 --> 00:56:37,960
Speaker 1: of services to people one or the other. There's no

981
00:56:38,080 --> 00:56:41,319
Speaker 1: in between. And while you are serving others, while you're

982
00:56:41,560 --> 00:56:44,560
Speaker 1: creating products for others, well, you get paid money and

983
00:56:44,640 --> 00:56:46,520
Speaker 1: then you get to spend that money on an apartment

984
00:56:46,600 --> 00:56:50,240
Speaker 1: or a house. But somebody built the apartment, somebody built

985
00:56:50,320 --> 00:56:53,399
Speaker 1: the house. Somebody put the plumbing in, somebody wired the house,

986
00:56:53,480 --> 00:56:55,840
Speaker 1: put the electric in. And if you're like me, I

987
00:56:55,920 --> 00:56:58,680
Speaker 1: can't even put a TV set in anymore. So somebody

988
00:56:58,719 --> 00:57:00,919
Speaker 1: has to put the TV set in and then show

989
00:57:00,960 --> 00:57:03,840
Speaker 1: me which buttons to push to watch Apple TV or

990
00:57:04,000 --> 00:57:08,440
Speaker 1: Netflix or regular TV. I mean, but you get but

991
00:57:08,640 --> 00:57:10,920
Speaker 1: if you had to lay all the tile, if you

992
00:57:11,120 --> 00:57:14,640
Speaker 1: had to wire the whole house, and paint the whole house,

993
00:57:14,719 --> 00:57:16,840
Speaker 1: and frame the whole house, and put the plumbing in

994
00:57:16,920 --> 00:57:19,480
Speaker 1: the whole house, and lay down the septic tank for

995
00:57:19,520 --> 00:57:22,280
Speaker 1: the house or connected to the sewer line in the house.

996
00:57:22,560 --> 00:57:25,240
Speaker 1: Do you see where I'm going here. It's like, Okay,

997
00:57:25,280 --> 00:57:28,640
Speaker 1: you will provide your special service or the or the

998
00:57:28,760 --> 00:57:31,120
Speaker 1: goods you're producing for others. But then you get the money,

999
00:57:31,160 --> 00:57:33,080
Speaker 1: and then you get to pay the plumber, the electrician,

1000
00:57:33,600 --> 00:57:35,240
Speaker 1: and then oh, by the way, that you get to

1001
00:57:35,400 --> 00:57:37,240
Speaker 1: go to the store and you get all the choices

1002
00:57:37,240 --> 00:57:39,440
Speaker 1: of all the groceries you'd ever want to buy. But

1003
00:57:39,560 --> 00:57:44,720
Speaker 1: there's elitism. There is an egalitarian elitism. There is a

1004
00:57:45,680 --> 00:57:49,000
Speaker 1: there is a snobbery, if you will, that looks down

1005
00:57:49,720 --> 00:57:53,480
Speaker 1: on people that do these well mundane jobs for us

1006
00:57:53,520 --> 00:57:55,880
Speaker 1: every day. But you know what, well, what do we

1007
00:57:56,040 --> 00:57:58,840
Speaker 1: eat if it's not for our farmers, not for our ranchers,

1008
00:57:59,200 --> 00:58:01,840
Speaker 1: not for those people that deliver the food fresh for us.

1009
00:58:02,160 --> 00:58:04,680
Speaker 1: You know, I don't think Bloomberg is in touch exactly

1010
00:58:04,800 --> 00:58:07,760
Speaker 1: what the average American. Remember, it was a big deal

1011
00:58:07,920 --> 00:58:11,200
Speaker 1: that George Herbert walker Bush. You know, he couldn't he

1012
00:58:11,240 --> 00:58:13,600
Speaker 1: didn't know how Oh you got these scanning things? When

1013
00:58:13,640 --> 00:58:15,280
Speaker 1: did you get them? They didn't know how much a

1014
00:58:15,320 --> 00:58:17,440
Speaker 1: gallon of milk is, by the way, to say about

1015
00:58:17,440 --> 00:58:20,040
Speaker 1: five fifty? Now what I am somewhere in there? See,

1016
00:58:20,120 --> 00:58:22,120
Speaker 1: I do my own shopping. Every every week I go

1017
00:58:22,240 --> 00:58:25,320
Speaker 1: and people, well, what are you doing here? I'm like shopping. Oh,

1018
00:58:25,800 --> 00:58:27,800
Speaker 1: I guess people think I have people for that, right,

1019
00:58:27,840 --> 00:58:30,280
Speaker 1: that's what they're thinking. I love the shop. I love

1020
00:58:30,320 --> 00:58:32,840
Speaker 1: to cook. When I cook, my mind as free as

1021
00:58:32,880 --> 00:58:36,240
Speaker 1: a bird. Love it chopping my onions, my bell peppers,

1022
00:58:37,000 --> 00:58:40,160
Speaker 1: you know, my garlics, autang. You know, I go, I

1023
00:58:40,320 --> 00:58:42,840
Speaker 1: really go for it, my seasonings. I like it all.

1024
00:58:43,080 --> 00:58:46,439
Speaker 1: You know. I know people that are do blue collar work.

1025
00:58:46,520 --> 00:58:49,800
Speaker 1: I know contractor friends of mine. There's some people that like.

1026
00:58:49,880 --> 00:58:52,280
Speaker 1: For example, I never finished college. I didn't have any

1027
00:58:52,320 --> 00:58:55,240
Speaker 1: money to finish college. When I was a dean's little student.

1028
00:58:55,520 --> 00:58:57,640
Speaker 1: Went to a Delphi year and why you a year,

1029
00:58:57,680 --> 00:58:59,240
Speaker 1: went to a School of Rhode Island for a year.

1030
00:58:59,280 --> 00:59:01,360
Speaker 1: I had a great student, but I just ran out

1031
00:59:01,400 --> 00:59:03,920
Speaker 1: of money and started working. And you know, I remember

1032
00:59:04,000 --> 00:59:07,280
Speaker 1: one time my family, like they came across my old

1033
00:59:07,320 --> 00:59:09,960
Speaker 1: transcripts and they're looking at him three eight Q and

1034
00:59:10,000 --> 00:59:11,640
Speaker 1: they're like, what are you doing? Why didn't you just

1035
00:59:11,760 --> 00:59:13,760
Speaker 1: go back? You don't. Then you can say that you

1036
00:59:14,200 --> 00:59:15,960
Speaker 1: got your degree, and I'm like, say, what, what do

1037
00:59:16,040 --> 00:59:18,160
Speaker 1: I need it for? What? Am I study more now

1038
00:59:18,240 --> 00:59:20,720
Speaker 1: than I've ever studied in my life? On any given day,

1039
00:59:21,080 --> 00:59:24,240
Speaker 1: the number of pages that I sift through is in

1040
00:59:24,360 --> 00:59:27,840
Speaker 1: the thousands. Oh that's hyperbole. No it's not. And then

1041
00:59:27,880 --> 00:59:30,600
Speaker 1: if you had everything in between, it is not. And

1042
00:59:30,720 --> 00:59:34,000
Speaker 1: I know people that are that do feel insecure, maybe

1043
00:59:34,000 --> 00:59:35,760
Speaker 1: because they do blue collar work. And I'm like, well,

1044
00:59:35,760 --> 00:59:37,760
Speaker 1: I know blue collar guys that are making a fortune.

1045
00:59:37,840 --> 00:59:41,480
Speaker 1: If you're a good plumber, electrician, builder, roofer, whatever you

1046
00:59:41,520 --> 00:59:43,720
Speaker 1: happen to be, you're making a lot of money and

1047
00:59:44,000 --> 00:59:47,000
Speaker 1: you have the freedom to work your own hours outside,

1048
00:59:47,280 --> 00:59:49,960
Speaker 1: away from an office, and you run the show. How

1049
00:59:50,000 --> 00:59:52,120
Speaker 1: cool is that? All right, let's get to our busy

1050
00:59:52,200 --> 00:59:54,479
Speaker 1: phones again, Laura Trump. At the top of the hour,

1051
00:59:55,080 --> 00:59:57,680
Speaker 1: let's say hi to mel in. North Carolina will be

1052
00:59:57,760 --> 01:00:01,000
Speaker 1: looking at North Carolina closely. In two hundred fifty nine days,

1053
01:00:01,040 --> 01:00:04,320
Speaker 1: so now, very early in the evening, North Carolina will

1054
01:00:04,360 --> 01:00:06,960
Speaker 1: be a bell weather indicator, which way the night's gonna go,

1055
01:00:07,120 --> 01:00:10,160
Speaker 1: how are you, mel I'm doing great, John, appreciate everything

1056
01:00:10,200 --> 01:00:12,600
Speaker 1: that you do twice a day. Thank you, my friend.

1057
01:00:12,680 --> 01:00:15,640
Speaker 1: What's going on? Just a couple of quick points. It

1058
01:00:15,760 --> 01:00:17,840
Speaker 1: still bothers me when I think about the trial, and

1059
01:00:18,520 --> 01:00:20,720
Speaker 1: you know, they kept stressing how critical but AID was.

1060
01:00:21,240 --> 01:00:23,200
Speaker 1: But one of the newscasts, or maybe it was during

1061
01:00:23,240 --> 01:00:25,640
Speaker 1: the trial, I remember somebody saying that the aide that

1062
01:00:25,760 --> 01:00:28,600
Speaker 1: was held was future aid, And if that's a true fact,

1063
01:00:28,640 --> 01:00:30,880
Speaker 1: I just don't understand why that wasn't, you know, more

1064
01:00:30,960 --> 01:00:35,040
Speaker 1: prominently vocalized so that everybody would realize it wasn't threatening.

1065
01:00:35,400 --> 01:00:37,439
Speaker 1: And you know, during the whole trial thing, they kept

1066
01:00:37,520 --> 01:00:40,160
Speaker 1: wanting to say that everything that's president did was out

1067
01:00:40,200 --> 01:00:43,600
Speaker 1: of fear of, you know, competing against Biden in the election,

1068
01:00:44,000 --> 01:00:47,400
Speaker 1: when I think that's hilarious that he's anybody would think

1069
01:00:47,400 --> 01:00:50,040
Speaker 1: that he was threatened by Biden when he beat out

1070
01:00:50,120 --> 01:00:54,960
Speaker 1: sixteen staunch career Republican candidates back in twenty fifteen to

1071
01:00:55,000 --> 01:00:57,800
Speaker 1: get the flot that he's in. So, I mean, those

1072
01:00:57,840 --> 01:00:59,480
Speaker 1: two things just keep sticking out in my mind. And

1073
01:00:59,560 --> 01:01:03,040
Speaker 1: then with the Bloomberg thing going on, I've never understood.

1074
01:01:03,080 --> 01:01:04,680
Speaker 1: And I remember in eighth grade we had some type

1075
01:01:04,720 --> 01:01:07,280
Speaker 1: of political discussion back in the mid seventies, and I

1076
01:01:07,360 --> 01:01:09,120
Speaker 1: made this point back then. And maybe I'm just kind

1077
01:01:09,160 --> 01:01:11,920
Speaker 1: of goofy my way of thinking, but I never understood

1078
01:01:11,960 --> 01:01:14,560
Speaker 1: why there's not a cap about how much a candidate

1079
01:01:15,000 --> 01:01:17,720
Speaker 1: can spend during the whole course of their campaign to

1080
01:01:17,800 --> 01:01:19,920
Speaker 1: make sure that everybody's on the same play in field,

1081
01:01:20,200 --> 01:01:23,240
Speaker 1: and then you wouldn't have to worry about Bloomberg situations. Look,

1082
01:01:23,280 --> 01:01:25,760
Speaker 1: I gotta be honest. I mean, if it's your money

1083
01:01:26,160 --> 01:01:28,800
Speaker 1: and you want to spend your money anyway, you want

1084
01:01:28,840 --> 01:01:31,000
Speaker 1: to spend your money. I don't think the government. To me,

1085
01:01:31,120 --> 01:01:33,480
Speaker 1: it's like freedom of speech. Now we could say, well

1086
01:01:33,680 --> 01:01:36,600
Speaker 1: it's not an equal playing field, but okay, life's not

1087
01:01:36,760 --> 01:01:40,960
Speaker 1: fair number one. Number two, Look, there certainly is an

1088
01:01:41,000 --> 01:01:44,680
Speaker 1: advantage to money. But if you have a message that

1089
01:01:44,920 --> 01:01:47,960
Speaker 1: is resonating and you outwork your opponent, I believe that

1090
01:01:48,000 --> 01:01:50,480
Speaker 1: you can beat them. I don't know it would be

1091
01:01:50,560 --> 01:01:52,800
Speaker 1: worth looking into how much Trump took out of his

1092
01:01:52,880 --> 01:01:55,440
Speaker 1: own pocket for the twenty sixteen campaign. I don't know.

1093
01:01:55,840 --> 01:01:59,880
Speaker 1: I know that they're setting records at the RNC, especially

1094
01:02:00,120 --> 01:02:04,080
Speaker 1: during impeachment, but you know, look, Bloomberg has been running

1095
01:02:04,080 --> 01:02:06,920
Speaker 1: a slick marketing campaign. Now he's gonna debate. Now I

1096
01:02:07,000 --> 01:02:10,760
Speaker 1: read Today's he's sitting there getting debate prep. They're prepping

1097
01:02:10,840 --> 01:02:12,800
Speaker 1: every second of every hour of every day. All right,

1098
01:02:12,840 --> 01:02:15,280
Speaker 1: well whatever, but I gotta tell you, you know what,

1099
01:02:15,400 --> 01:02:17,800
Speaker 1: he's still Bloomberg and it's still these comments. He doesn't

1100
01:02:17,800 --> 01:02:20,160
Speaker 1: get a pass. Nobody gets a pass, or at least

1101
01:02:20,240 --> 01:02:22,600
Speaker 1: on my show. And we're going to vet all these

1102
01:02:22,720 --> 01:02:25,720
Speaker 1: candidates and then hopefully in two hundred and fifty nine days,

1103
01:02:25,840 --> 01:02:28,600
Speaker 1: mel you and your fellow American shocked the world again.

1104
01:02:29,080 --> 01:02:32,640
Speaker 1: That's what I'm hoping. Okay, absolutely, all right, News round Up,

1105
01:02:32,680 --> 01:02:37,280
Speaker 1: Information Overload, our Laura Trump and then your calls, Great

1106
01:02:37,360 --> 01:02:39,680
Speaker 1: Hannity tonight at nine, tell you about that as we continue.

1107
01:02:40,040 --> 01:02:43,600
Speaker 1: Coming up next our final News round Up and Information

1108
01:02:43,760 --> 01:02:48,480
Speaker 1: Overload hour. The agrarian society lasted three thousand years, and

1109
01:02:48,600 --> 01:02:51,560
Speaker 1: we could teach processes. I could teach anybody, even people

1110
01:02:51,600 --> 01:02:54,480
Speaker 1: in this room. So no offense intended to be a farmer.

1111
01:02:55,080 --> 01:02:56,880
Speaker 1: It's a processing. You dig a hole, you put a

1112
01:02:57,160 --> 01:02:58,920
Speaker 1: seed in, you put dirt on top. I had water

1113
01:02:59,040 --> 01:03:01,080
Speaker 1: up comes the corn. Then we had three hundred. You

1114
01:03:01,120 --> 01:03:04,040
Speaker 1: could learn that you have three hundred years of the

1115
01:03:04,080 --> 01:03:07,120
Speaker 1: industrial society. You put the piece of metal in the leath,

1116
01:03:07,200 --> 01:03:09,600
Speaker 1: you turn the crank and the direction of the arrow,

1117
01:03:09,760 --> 01:03:11,960
Speaker 1: and you can have a job. And we created a

1118
01:03:12,040 --> 01:03:15,240
Speaker 1: lot of jobs. One point ninety eight percent of the

1119
01:03:15,280 --> 01:03:19,000
Speaker 1: world worked in agriculture. Today it's two percent in the

1120
01:03:19,120 --> 01:03:24,080
Speaker 1: United States. Now comes the information economy, and the information

1121
01:03:24,160 --> 01:03:29,640
Speaker 1: economy is fundamentally different because it's built around replacing people

1122
01:03:30,240 --> 01:03:34,240
Speaker 1: with technology. And the skill sets that you have to

1123
01:03:34,360 --> 01:03:38,360
Speaker 1: learn are how to think and analyze, and that is

1124
01:03:38,440 --> 01:03:42,640
Speaker 1: a whole degree level different. You have to have a

1125
01:03:42,760 --> 01:03:44,760
Speaker 1: different skill set, you have to have a lot more

1126
01:03:44,840 --> 01:03:47,320
Speaker 1: gray matter. It's not clear the teachers can teach or

1127
01:03:47,360 --> 01:03:50,480
Speaker 1: the students can learn. And so the challenge for society

1128
01:03:50,600 --> 01:03:53,280
Speaker 1: to find jobs for these people who we can take

1129
01:03:53,360 --> 01:03:55,120
Speaker 1: care of, giving them a roof over their head and

1130
01:03:55,160 --> 01:03:57,520
Speaker 1: a meal in their stomach, and a cell phone and

1131
01:03:57,600 --> 01:03:59,600
Speaker 1: a car and that sort of thing. But the thing

1132
01:03:59,680 --> 01:04:02,280
Speaker 1: that's most important, that will stop them from setting up

1133
01:04:02,280 --> 01:04:06,320
Speaker 1: the guillotine someday is the dignity of a job. And

1134
01:04:06,560 --> 01:04:10,840
Speaker 1: on the eighth Day, God looked down on his planned

1135
01:04:10,880 --> 01:04:15,720
Speaker 1: paradise and said, I need a caretaker. So God made

1136
01:04:15,720 --> 01:04:18,960
Speaker 1: a farmer God said, I need somebody willing to get

1137
01:04:19,040 --> 01:04:21,560
Speaker 1: up before dawn milk cows, work all day in the fields,

1138
01:04:21,640 --> 01:04:23,800
Speaker 1: milk cows again, eat supper, then go to town and

1139
01:04:23,880 --> 01:04:26,040
Speaker 1: stay past midnight at a meeting of the school board.

1140
01:04:26,120 --> 01:04:28,840
Speaker 1: So God made a farmer. God said, I need somebody

1141
01:04:28,920 --> 01:04:30,880
Speaker 1: willing to sit up all night with a newborn colt

1142
01:04:31,360 --> 01:04:34,040
Speaker 1: and watch it die and dry his eyes and say

1143
01:04:34,120 --> 01:04:36,680
Speaker 1: maybe next year. I need somebody who can shape an

1144
01:04:36,720 --> 01:04:39,320
Speaker 1: axe handbook from a persimmon sprout shoe a horse with

1145
01:04:39,360 --> 01:04:41,680
Speaker 1: a hunk of car tire, who can make harness out

1146
01:04:41,720 --> 01:04:44,440
Speaker 1: of hey wire, feed sacks and shoe scraps, who planting

1147
01:04:44,480 --> 01:04:46,720
Speaker 1: time and harvest season, will finish his forty hour a

1148
01:04:46,760 --> 01:04:49,160
Speaker 1: week by Tuesday noon, and then painting from tractor back,

1149
01:04:49,200 --> 01:04:51,840
Speaker 1: put in another seventy two hours. So God made a farmer.

1150
01:04:52,200 --> 01:04:55,080
Speaker 1: God said, I need somebody strong enough to clear trees

1151
01:04:55,120 --> 01:04:58,120
Speaker 1: and heaved bales, yet gentle enough to yean lambs and

1152
01:04:58,240 --> 01:05:01,000
Speaker 1: wean pigs and tend to pink bullets. Who will stop

1153
01:05:01,160 --> 01:05:03,240
Speaker 1: his more for an hour to split the broken leg

1154
01:05:03,320 --> 01:05:07,000
Speaker 1: of a metal lark. So God made a farmer. It

1155
01:05:07,160 --> 01:05:09,280
Speaker 1: had to be somebody who would plow deep and straight

1156
01:05:09,360 --> 01:05:12,720
Speaker 1: and uncut corners. Somebody to see weed feet breed, and

1157
01:05:12,800 --> 01:05:14,960
Speaker 1: break and disk and plow and plant and tie the

1158
01:05:15,040 --> 01:05:18,160
Speaker 1: fleece and strain the milk. Somebody who'd bail a family

1159
01:05:18,240 --> 01:05:21,120
Speaker 1: together with a soft, strong bonds of sharing, who would

1160
01:05:21,200 --> 01:05:26,120
Speaker 1: laugh and then sigh and then reply with smiling eyes

1161
01:05:26,840 --> 01:05:29,960
Speaker 1: when his son says that he wants to spend his

1162
01:05:30,120 --> 01:05:34,080
Speaker 1: life doing what dad does. So God made a farmer

1163
01:05:35,920 --> 01:05:40,080
Speaker 1: pick our own with me at Omeo to too many things.

1164
01:05:40,160 --> 01:05:50,520
Speaker 1: He though, boys came to the homemade and wine and cut.

1165
01:05:50,600 --> 01:06:11,880
Speaker 1: Your boy can provide country boats, canine, We say, ma'am,

1166
01:06:12,840 --> 01:06:15,360
Speaker 1: and man into that. We don't really give a damn either.

1167
01:06:15,480 --> 01:06:18,800
Speaker 1: Anyway to hang you and your news round up information overload. Yeah,

1168
01:06:18,920 --> 01:06:21,439
Speaker 1: there he is. I could teach all of you people

1169
01:06:21,560 --> 01:06:24,560
Speaker 1: before are you crazy? Come on, it's I could teach anybody.

1170
01:06:25,200 --> 01:06:27,240
Speaker 1: You just dig a hole, you put a seat in,

1171
01:06:27,760 --> 01:06:30,000
Speaker 1: you put dirt on top of your edwater, up comes

1172
01:06:30,040 --> 01:06:32,480
Speaker 1: the corn. I could teach anybody to be a farmer.

1173
01:06:32,920 --> 01:06:36,680
Speaker 1: How arrogant is this guy? I mean it's breadth taking arrogance. Then,

1174
01:06:36,760 --> 01:06:39,960
Speaker 1: oh you're ninety five years old, Oh you have cancer.

1175
01:06:40,640 --> 01:06:43,760
Speaker 1: You've had a good life, Go home, Go home, you're done,

1176
01:06:44,640 --> 01:06:47,240
Speaker 1: think back on your life. Who cares what your kids

1177
01:06:47,280 --> 01:06:50,160
Speaker 1: and grandkids think? Why? I wonder if that goes for

1178
01:06:50,280 --> 01:06:52,760
Speaker 1: him too. Then of course, you know, we've got the

1179
01:06:52,880 --> 01:06:57,080
Speaker 1: genius murderers, murder victims. They've put one m O. Just

1180
01:06:57,200 --> 01:06:59,720
Speaker 1: take the description, use xerox that you pass it out

1181
01:06:59,760 --> 01:07:03,200
Speaker 1: to all the cops. They're all male, minority sixteen to

1182
01:07:03,280 --> 01:07:07,080
Speaker 1: twenty five. That's where the crime is. And then he says, yeah,

1183
01:07:07,080 --> 01:07:09,080
Speaker 1: you got to throw these kids up against the wall.

1184
01:07:09,440 --> 01:07:13,080
Speaker 1: Like what he goes, well, that's one of the unintended consequences.

1185
01:07:13,120 --> 01:07:15,800
Speaker 1: He said, Well, mister mayor, why are you only arresting

1186
01:07:15,920 --> 01:07:19,080
Speaker 1: minority kids from marijuana? Because well, it's true, we only

1187
01:07:19,320 --> 01:07:22,320
Speaker 1: arrest minority kids because that's where we put all the

1188
01:07:22,480 --> 01:07:25,960
Speaker 1: cops in minority neighborhoods. Why because that's where all the crimes.

1189
01:07:26,040 --> 01:07:29,960
Speaker 1: That's not all Wow, And of course his comments on women. Now,

1190
01:07:30,040 --> 01:07:33,960
Speaker 1: what's going to be interesting to watch is how Democrats

1191
01:07:34,040 --> 01:07:37,160
Speaker 1: and the mob and the media try and run defense

1192
01:07:37,280 --> 01:07:41,080
Speaker 1: for the lunacy of Bloomberg their Plan B. Because Biden

1193
01:07:41,160 --> 01:07:43,960
Speaker 1: Plan A fell apart. Laura Trump is with us and

1194
01:07:44,200 --> 01:07:47,680
Speaker 1: she is the head of the Trump twenty twenty reelection campaign.

1195
01:07:47,760 --> 01:07:50,280
Speaker 1: How are you? Oh, hello, Sean, great to be with you.

1196
01:07:50,320 --> 01:07:53,400
Speaker 1: I'm doing great. And the God made a farmer's speech

1197
01:07:53,480 --> 01:07:56,120
Speaker 1: one of the classics and shows you right there all

1198
01:07:56,200 --> 01:08:00,360
Speaker 1: you need to know about how condescending and ridiculous words

1199
01:08:00,400 --> 01:08:02,440
Speaker 1: that we heard from Michael Bloomberg were it. By the way,

1200
01:08:02,440 --> 01:08:05,680
Speaker 1: you're a shame you're in North Carolina. You came originally,

1201
01:08:05,760 --> 01:08:07,480
Speaker 1: you grew up in North Carolina, right. I grew up

1202
01:08:07,520 --> 01:08:09,840
Speaker 1: in North Carolina. I come from a family of farmers.

1203
01:08:09,920 --> 01:08:13,440
Speaker 1: I still have blueberries farmers and hog farmers in my family,

1204
01:08:13,600 --> 01:08:15,800
Speaker 1: and I'll tell you they don't take very kindly to

1205
01:08:15,840 --> 01:08:19,920
Speaker 1: words like that. It's really demeaning to people, and it's

1206
01:08:19,960 --> 01:08:22,400
Speaker 1: not that easy. Just so he knows, if he would

1207
01:08:22,439 --> 01:08:24,040
Speaker 1: like to come out and give it a shot, I'm

1208
01:08:24,080 --> 01:08:26,360
Speaker 1: sure some of my family members would be happy to

1209
01:08:26,720 --> 01:08:29,599
Speaker 1: let him take. It's not that it's it is now

1210
01:08:29,920 --> 01:08:35,000
Speaker 1: sophisticated science. You're getting advanced degrees in farming and all

1211
01:08:35,080 --> 01:08:39,560
Speaker 1: related matters. I mean, the breathtaking dismissal and oh and

1212
01:08:39,680 --> 01:08:44,840
Speaker 1: how farmers need more gray matter. I'm like, wow, well,

1213
01:08:44,920 --> 01:08:47,360
Speaker 1: you know what, he's got so much coming at him.

1214
01:08:47,400 --> 01:08:49,320
Speaker 1: I don't know that he planned for all this, Sean.

1215
01:08:49,720 --> 01:08:51,800
Speaker 1: I mean, I think he really thought, I have all

1216
01:08:51,840 --> 01:08:54,320
Speaker 1: the money in the world. I'm going to spend every

1217
01:08:54,439 --> 01:08:57,960
Speaker 1: penny that I have that I'll never need all this money,

1218
01:08:58,280 --> 01:09:00,080
Speaker 1: I'm going to do it to defeat Donald Trump. I

1219
01:09:00,160 --> 01:09:02,760
Speaker 1: don't think he saw all this coming. I also don't

1220
01:09:02,800 --> 01:09:05,680
Speaker 1: think we really know how people will react because we've

1221
01:09:05,720 --> 01:09:08,080
Speaker 1: never seen this before. We've never seen anybody try to

1222
01:09:08,240 --> 01:09:12,639
Speaker 1: buy their way directly into a nomination. So I really

1223
01:09:12,760 --> 01:09:16,920
Speaker 1: can't see the Bernie Sanders supporters were the vast majority

1224
01:09:16,960 --> 01:09:20,400
Speaker 1: of energy on the Democrat side lies getting behind a

1225
01:09:20,640 --> 01:09:25,040
Speaker 1: rich white billionaire. You know that this old guy that

1226
01:09:25,280 --> 01:09:28,439
Speaker 1: they claim to dislike this sort of thing. How were

1227
01:09:28,479 --> 01:09:30,360
Speaker 1: they going to get behind him? How is he really

1228
01:09:30,760 --> 01:09:33,719
Speaker 1: going to win the nomination. It's a really interesting situation

1229
01:09:33,800 --> 01:09:37,040
Speaker 1: the Democrats. You know something, both your husband Eric and

1230
01:09:37,640 --> 01:09:41,720
Speaker 1: Don and Avanca always referred to Donald Trump he's a billionaire,

1231
01:09:41,760 --> 01:09:45,040
Speaker 1: as a blue collar billionaire. And it's interesting because it's

1232
01:09:45,120 --> 01:09:48,960
Speaker 1: it's not it's the arrogance here. If it was Donald

1233
01:09:49,000 --> 01:09:52,680
Speaker 1: Trump that had made any of these broad, sweeping generalizations

1234
01:09:52,760 --> 01:09:55,639
Speaker 1: about people in the black community, I doubt it would

1235
01:09:55,680 --> 01:09:58,240
Speaker 1: be ignored to the level it's being ignored. And by

1236
01:09:58,240 --> 01:10:00,400
Speaker 1: the way, there's new stuff coming out every day. The

1237
01:10:00,560 --> 01:10:04,200
Speaker 1: latest today came out Blacks and Latinos don't know how

1238
01:10:04,320 --> 01:10:08,080
Speaker 1: to behave in the workplace. He actually said that there's

1239
01:10:08,120 --> 01:10:12,280
Speaker 1: this enormous cohort of black and Latino males age let's say,

1240
01:10:12,439 --> 01:10:16,680
Speaker 1: sixteen to twenty five that don't have jobs, don't have

1241
01:10:16,760 --> 01:10:19,960
Speaker 1: any prospects, don't know how to find jobs, don't know

1242
01:10:21,240 --> 01:10:24,120
Speaker 1: that they what their skill sets are, don't know how

1243
01:10:24,160 --> 01:10:26,360
Speaker 1: to behave in the workplace where they have to work.

1244
01:10:28,400 --> 01:10:30,960
Speaker 1: And then, of course, so look at the Democratic Party base,

1245
01:10:31,439 --> 01:10:33,400
Speaker 1: all right. African Americans are a big part of the

1246
01:10:33,479 --> 01:10:37,840
Speaker 1: Democratic Party base. They've been insulted. Farmers have been insulted,

1247
01:10:37,960 --> 01:10:41,400
Speaker 1: blue collar workers have been insulted. Old people have been told, well,

1248
01:10:41,439 --> 01:10:43,080
Speaker 1: your ninety five, get the hell out of here. You

1249
01:10:43,200 --> 01:10:44,639
Speaker 1: had a good life and we're not going to give

1250
01:10:44,640 --> 01:10:46,880
Speaker 1: you any care because we can't afford it. I'm sure

1251
01:10:46,960 --> 01:10:50,000
Speaker 1: he'd at ninety five, wouldn't try to spend every penny

1252
01:10:50,040 --> 01:10:53,920
Speaker 1: he had to get more time. His insults against women,

1253
01:10:54,520 --> 01:10:56,920
Speaker 1: why don't you just kill it? Come on, I already

1254
01:10:56,920 --> 01:10:59,400
Speaker 1: have sixteen other people out on maternity to leave my company.

1255
01:10:59,479 --> 01:11:01,240
Speaker 1: Let's kill it. I'm not sure how that goes over.

1256
01:11:01,680 --> 01:11:03,920
Speaker 1: It's not I don't think again, I don't think he

1257
01:11:04,160 --> 01:11:06,559
Speaker 1: expected all of this. And you know what people find

1258
01:11:06,600 --> 01:11:09,800
Speaker 1: out very quickly once you get into politics. You know,

1259
01:11:10,000 --> 01:11:14,000
Speaker 1: everything comes out and it will be interesting to see.

1260
01:11:14,160 --> 01:11:16,200
Speaker 1: Listen as we head to their convention. Is it going

1261
01:11:16,240 --> 01:11:18,600
Speaker 1: to be a brokeroo convention for the Democrats. There's no

1262
01:11:19,160 --> 01:11:21,280
Speaker 1: clear front run there other than Bernie Sanders, and we

1263
01:11:21,360 --> 01:11:23,360
Speaker 1: know they're trying to get rid of him every single

1264
01:11:23,479 --> 01:11:25,920
Speaker 1: day because this guy is a socialist, and I think

1265
01:11:25,960 --> 01:11:31,560
Speaker 1: the Democrat establishment is quickly realizing American citizens by and

1266
01:11:31,720 --> 01:11:35,320
Speaker 1: large do not want socialism in this country. Would completely

1267
01:11:35,439 --> 01:11:38,479
Speaker 1: destroy America. So they got a conundrum on their hands.

1268
01:11:38,840 --> 01:11:42,240
Speaker 1: The good news, Sean, is that this president, Donald Trump

1269
01:11:42,439 --> 01:11:44,600
Speaker 1: is working day in and day out while all of

1270
01:11:44,680 --> 01:11:47,400
Speaker 1: this nonsense is going on with the Democrat Party. They've

1271
01:11:47,439 --> 01:11:50,200
Speaker 1: tried to impeach him, they've tried to accuse him of

1272
01:11:50,200 --> 01:11:53,240
Speaker 1: colluding with Russia, everything under the sun. He has never,

1273
01:11:53,360 --> 01:11:56,000
Speaker 1: for a second stopped working for the people of this country.

1274
01:11:56,280 --> 01:11:58,479
Speaker 1: And that's why it doesn't matter if it's Bloomberg. I

1275
01:11:58,520 --> 01:12:01,679
Speaker 1: don't think it matters if it's Bernie Sanders or bless

1276
01:12:01,720 --> 01:12:03,800
Speaker 1: his heart, Joe Biden, who I think by and large

1277
01:12:03,880 --> 01:12:06,600
Speaker 1: is out of this race, it doesn't matter because the

1278
01:12:06,680 --> 01:12:09,600
Speaker 1: people of this country every day feel the effects of

1279
01:12:09,720 --> 01:12:12,160
Speaker 1: Donald Trump as president, and I think they're going to

1280
01:12:12,240 --> 01:12:15,040
Speaker 1: come out in record numbers on November third of twenty

1281
01:12:15,160 --> 01:12:17,360
Speaker 1: twenty and reelect him for four more years. You know

1282
01:12:17,439 --> 01:12:20,080
Speaker 1: what souncanny? I never and I've been doing this thirty

1283
01:12:20,120 --> 01:12:22,519
Speaker 1: one years on radio, twenty four years now at the

1284
01:12:22,560 --> 01:12:24,760
Speaker 1: Fox News Channel. I'm in my twenty fourth year, believe

1285
01:12:24,760 --> 01:12:27,920
Speaker 1: it or not, and I could tell you that I'd

1286
01:12:27,960 --> 01:12:30,640
Speaker 1: never watched the campaign where somebody said, well, what have

1287
01:12:30,720 --> 01:12:33,240
Speaker 1: you got to lose? You can't do any worse. And

1288
01:12:34,000 --> 01:12:36,519
Speaker 1: that was the President's message, because every two and four

1289
01:12:36,640 --> 01:12:40,760
Speaker 1: years Democrats say Republicans are racist and sexist and homophobic

1290
01:12:40,840 --> 01:12:43,840
Speaker 1: and xenophobic and islamophobic, and they want Grandma to die

1291
01:12:43,920 --> 01:12:48,559
Speaker 1: in you know, dirty year and water. But this president said, okay, Now,

1292
01:12:48,720 --> 01:12:52,040
Speaker 1: all these big cities that have been run for decades

1293
01:12:52,160 --> 01:12:58,600
Speaker 1: by democratic by democratic administrations have deteriorated at such a

1294
01:12:58,720 --> 01:13:05,040
Speaker 1: dramatic rate. But this president, with eliminating what endless burdensome regulation,

1295
01:13:05,240 --> 01:13:08,439
Speaker 1: lowering taxes. Now we have record law unemployment for every

1296
01:13:08,520 --> 01:13:11,040
Speaker 1: demographic in the country, and people that are doing the

1297
01:13:11,120 --> 01:13:16,200
Speaker 1: best record law unemployment for African Americans, Hispanic Americans, Asian Americans,

1298
01:13:16,280 --> 01:13:19,480
Speaker 1: women in the workplace, youth unemployment, African American youth unemployment,

1299
01:13:19,880 --> 01:13:23,360
Speaker 1: record law unemployment. Does the president and when he goes

1300
01:13:23,439 --> 01:13:25,960
Speaker 1: out now campaigning in the next two hundred and fifty

1301
01:13:26,040 --> 01:13:30,320
Speaker 1: nine days, does that success I'll add to a criminal

1302
01:13:30,439 --> 01:13:36,600
Speaker 1: justice reform. Does that success lend itself to a shifting demographic.

1303
01:13:36,720 --> 01:13:39,760
Speaker 1: I've got to believe it does. Oh, I absolutely think so, Sean.

1304
01:13:39,840 --> 01:13:42,280
Speaker 1: I think we're going to see record numbers of Black

1305
01:13:42,360 --> 01:13:45,920
Speaker 1: Americans voting for a Republican in this election when they

1306
01:13:45,960 --> 01:13:48,120
Speaker 1: come out and cast their votes for Donald Trump, because listen,

1307
01:13:48,160 --> 01:13:50,560
Speaker 1: I don't care who you are. The Democrats like to

1308
01:13:50,640 --> 01:13:53,639
Speaker 1: box people up. They say, we've got women's votes, we've

1309
01:13:53,680 --> 01:13:57,439
Speaker 1: got Black American votes, Latino American votes. Guess what. Donald

1310
01:13:57,479 --> 01:13:59,800
Speaker 1: Trump doesn't care what you look like, what your gender,

1311
01:14:00,200 --> 01:14:02,839
Speaker 1: your religion, anything. He cares that you are an American

1312
01:14:02,880 --> 01:14:04,559
Speaker 1: and he's fighting for you every day. And I think

1313
01:14:04,640 --> 01:14:08,000
Speaker 1: people are finally feeling that, and so they're not being

1314
01:14:08,120 --> 01:14:12,000
Speaker 1: bamboozled anymore and hoodwinked by the Democrats who have boxed

1315
01:14:12,040 --> 01:14:15,639
Speaker 1: people up and pandered to them for decades and decades.

1316
01:14:15,920 --> 01:14:17,719
Speaker 1: I think they're going to come out and support Donald

1317
01:14:17,720 --> 01:14:22,400
Speaker 1: Trump and record numbers, whatever demographic you're talking about, because

1318
01:14:22,680 --> 01:14:25,600
Speaker 1: he has done things for every group of people in

1319
01:14:25,680 --> 01:14:29,160
Speaker 1: this country that has made their life better. There's no

1320
01:14:29,400 --> 01:14:31,880
Speaker 1: way to deny that. And you're right. His message in

1321
01:14:31,960 --> 01:14:34,920
Speaker 1: twenty sixteen was what do you have to lose? The

1322
01:14:35,120 --> 01:14:38,439
Speaker 1: message now as we head into twenty twenty is, look

1323
01:14:38,479 --> 01:14:41,200
Speaker 1: at how much we could lose if any of these

1324
01:14:41,280 --> 01:14:45,000
Speaker 1: Democrats got ahold of this country. It is absolutely frightening.

1325
01:14:45,320 --> 01:14:48,040
Speaker 1: Yet look at how much prosperity there could be still

1326
01:14:48,120 --> 01:14:50,280
Speaker 1: to come with former years of Donald Trump. All right,

1327
01:14:50,360 --> 01:14:52,200
Speaker 1: quick break, we'll come back more. Laura Trump on the

1328
01:14:52,240 --> 01:14:54,560
Speaker 1: other side. Eight hundred and nine for one, Shaun is

1329
01:14:54,600 --> 01:14:56,479
Speaker 1: our number, your calls for the final half hour of

1330
01:14:56,479 --> 01:14:59,679
Speaker 1: the program today. This morning, the brand new jobs numbers

1331
01:14:59,720 --> 01:15:03,559
Speaker 1: came and we smash the expectations and created two hundred

1332
01:15:03,560 --> 01:15:07,479
Speaker 1: and twenty five thousand new jobs last month, two hundred

1333
01:15:07,479 --> 01:15:10,000
Speaker 1: and twenty five thousand. They were thinking maybe one hundred,

1334
01:15:10,680 --> 01:15:12,880
Speaker 1: maybe one hundred and five. I was watching All the

1335
01:15:12,960 --> 01:15:16,479
Speaker 1: Geniuses this morning on television. What do you think it's

1336
01:15:16,479 --> 01:15:20,120
Speaker 1: gonna be. It's gonna be one ten, two twenty five.

1337
01:15:20,240 --> 01:15:22,360
Speaker 1: Pretty good, right, two hundred and twenty five thousand for

1338
01:15:22,520 --> 01:15:25,600
Speaker 1: last month. That's only last month, all right? As we

1339
01:15:25,680 --> 01:15:29,520
Speaker 1: continue with Laura Trump, and she is the campaign advisor

1340
01:15:29,760 --> 01:15:32,880
Speaker 1: for the Trump twenty twenty reel At campaign, they all

1341
01:15:32,920 --> 01:15:37,560
Speaker 1: want open borders. Those that didn't respect our laws, borders, sovereignty,

1342
01:15:37,640 --> 01:15:40,519
Speaker 1: they get citizenship. I know Bloomberg said that this week.

1343
01:15:41,439 --> 01:15:43,880
Speaker 1: So there they stand together on that. They're all are

1344
01:15:43,960 --> 01:15:47,400
Speaker 1: running on some form of higher taxes, wealth taxes. They

1345
01:15:47,439 --> 01:15:51,320
Speaker 1: all want government takeover of industry, energy industry in particular.

1346
01:15:51,400 --> 01:15:53,559
Speaker 1: They all seem to be after the New Green Deal

1347
01:15:53,720 --> 01:15:57,760
Speaker 1: Medicare for all. How did Obamacare workout? It's numbing to

1348
01:15:57,880 --> 01:16:00,720
Speaker 1: me that there. I guess there's a certain appeal to

1349
01:16:00,840 --> 01:16:03,160
Speaker 1: everybody being told, don't know, every need you have in

1350
01:16:03,280 --> 01:16:05,320
Speaker 1: life is going to be taken care of. But I

1351
01:16:05,479 --> 01:16:08,799
Speaker 1: just go look at Obamacare. Millions lost their doctors, millions

1352
01:16:08,880 --> 01:16:11,080
Speaker 1: lost their plans. Forty percent of the country only has

1353
01:16:11,120 --> 01:16:14,640
Speaker 1: one Obamacare exchange option, and we're not saving twenty five

1354
01:16:14,760 --> 01:16:17,320
Speaker 1: hundred dollars per family per year. We're paying on average

1355
01:16:17,320 --> 01:16:21,000
Speaker 1: almost two hundred percent more per family per year. That's

1356
01:16:21,000 --> 01:16:24,280
Speaker 1: a lot of broken promises just in that. Yeah, you

1357
01:16:24,360 --> 01:16:27,200
Speaker 1: know what, the people of this country, I think, know

1358
01:16:28,080 --> 01:16:30,759
Speaker 1: that once you get out there in the workforce, nothing

1359
01:16:31,120 --> 01:16:35,320
Speaker 1: is free. They want to give everything for free to everybody. Somebody,

1360
01:16:35,400 --> 01:16:38,679
Speaker 1: Sean ultimately has to pay for this. Americans are smart.

1361
01:16:38,760 --> 01:16:41,680
Speaker 1: We're not falling for this anymore. We know that if

1362
01:16:41,840 --> 01:16:44,800
Speaker 1: any of these you know, very very far left some

1363
01:16:45,080 --> 01:16:48,120
Speaker 1: socialists get a hold of this country, the things that

1364
01:16:48,240 --> 01:16:50,200
Speaker 1: they would do and the way they would implement them

1365
01:16:50,280 --> 01:16:54,120
Speaker 1: would bankrupt our entire country. It's not sustainable. It would

1366
01:16:54,120 --> 01:16:58,240
Speaker 1: be an unrecognizable America. And nothing is free. And I

1367
01:16:58,320 --> 01:17:01,400
Speaker 1: think people are finally realizing that. Guess what. You know

1368
01:17:01,479 --> 01:17:04,280
Speaker 1: who a lot of Bernie Sanders supporters are. It's really

1369
01:17:04,439 --> 01:17:08,120
Speaker 1: young college students who have never had any work experience.

1370
01:17:08,320 --> 01:17:10,639
Speaker 1: They've never had to pay taxes before. Guess what, when

1371
01:17:10,640 --> 01:17:12,559
Speaker 1: you get out there and you get your first paycheck

1372
01:17:12,600 --> 01:17:14,519
Speaker 1: and you see how much has already taken out of

1373
01:17:14,640 --> 01:17:17,280
Speaker 1: your paycheck and taxes, it starts to becoming very real

1374
01:17:17,360 --> 01:17:20,000
Speaker 1: to you, and you say, wait a minute, this isn't right.

1375
01:17:20,080 --> 01:17:22,000
Speaker 1: This isn't how it's supposed to be. It could go

1376
01:17:22,240 --> 01:17:25,799
Speaker 1: through the roof those taxes if Bernie Sanders, or quite frankly,

1377
01:17:25,880 --> 01:17:30,000
Speaker 1: any of the Democrats became the president. Versus this president,

1378
01:17:30,080 --> 01:17:33,320
Speaker 1: who has lowered taxes, who has rolled back regulations. We

1379
01:17:33,479 --> 01:17:37,759
Speaker 1: see growth flourishing in this country, consumer confidence, small business

1380
01:17:37,840 --> 01:17:41,839
Speaker 1: confidence through the roof. Our country is firing on all cylinders,

1381
01:17:42,040 --> 01:17:45,880
Speaker 1: especially economically, and I think that people are in tune

1382
01:17:45,920 --> 01:17:49,559
Speaker 1: with that, especially if you're a working citizen. All Right,

1383
01:17:49,640 --> 01:17:52,719
Speaker 1: Laura Trump, the head of the twenty twenty reelection campaign

1384
01:17:52,800 --> 01:17:54,960
Speaker 1: for the president. Always a pleasure to have you on.

1385
01:17:55,120 --> 01:17:57,680
Speaker 1: Thank you for being with us. We have a fascinating

1386
01:17:57,720 --> 01:18:01,120
Speaker 1: two hundred and fifty nine days, the ultimate jurity of

1387
01:18:01,120 --> 01:18:04,439
Speaker 1: the American people get to decide we'll continue. Sixty billion

1388
01:18:04,479 --> 01:18:08,599
Speaker 1: dollars can buy a lot of advertising, but a canneration record.

1389
01:18:09,120 --> 01:18:11,719
Speaker 1: There's a lot to talk about. Michael Bloomberg. He hasn't

1390
01:18:11,720 --> 01:18:14,519
Speaker 1: gone on the Sunday Show since he announced. Instead he's

1391
01:18:14,520 --> 01:18:16,800
Speaker 1: just running at and I don't think you should be

1392
01:18:16,960 --> 01:18:20,840
Speaker 1: able to hide behind the at How troubled are you

1393
01:18:21,160 --> 01:18:27,800
Speaker 1: by these allegations and this evidence of alleged sexism and racism. Well,

1394
01:18:27,840 --> 01:18:29,920
Speaker 1: I think he's going to have to answer for that

1395
01:18:30,080 --> 01:18:33,160
Speaker 1: and speak to it. Look, this is a time where

1396
01:18:33,520 --> 01:18:35,880
Speaker 1: voters are looking for a president who can lead us

1397
01:18:36,160 --> 01:18:39,240
Speaker 1: out of the days when it was just commonplace or

1398
01:18:39,479 --> 01:18:43,880
Speaker 1: accepted to have these kinds of sexist and discriminatory attitudes

1399
01:18:43,920 --> 01:18:47,680
Speaker 1: in The simple truth is that Mayor Bloomberg with all

1400
01:18:47,800 --> 01:18:51,680
Speaker 1: his money, will not create the kind of excitement and

1401
01:18:52,120 --> 01:18:56,439
Speaker 1: energy we need to have the voter turnout. We must

1402
01:18:56,520 --> 01:18:59,800
Speaker 1: have to defeat Donald Trump. All right, there you have it,

1403
01:19:00,080 --> 01:19:03,400
Speaker 1: there's the setup, there's the battle lines are drawn up.

1404
01:19:03,520 --> 01:19:05,960
Speaker 1: I mean, were less than two weeks away from Super Tuesday.

1405
01:19:06,080 --> 01:19:12,360
Speaker 1: Now nationally, Sanders, the angry, bitter Socialist, has opened up

1406
01:19:12,400 --> 01:19:16,160
Speaker 1: a twelve point lead in the Democratic primary race. Sanders

1407
01:19:16,240 --> 01:19:21,400
Speaker 1: thirty one percent. This is MPRPBS marished poll released today,

1408
01:19:21,640 --> 01:19:23,880
Speaker 1: pushing him into the top spot used to be held

1409
01:19:23,920 --> 01:19:28,759
Speaker 1: by quid pro quo Joe. Then you got Bloomberg down

1410
01:19:29,760 --> 01:19:32,479
Speaker 1: now in second place with nineteen percent. You know, there's

1411
01:19:32,479 --> 01:19:35,840
Speaker 1: all these candidates, they surge, they sink, they sink, they sergey.

1412
01:19:36,479 --> 01:19:39,479
Speaker 1: The one constant seems to be Bernie. Bernie stays right

1413
01:19:39,520 --> 01:19:41,960
Speaker 1: there at the top near the top around the top

1414
01:19:42,080 --> 01:19:46,280
Speaker 1: and has been winning. Buddha judges seem to drop off

1415
01:19:46,320 --> 01:19:49,120
Speaker 1: a map quite a bit. Warren has fallen out. I

1416
01:19:49,160 --> 01:19:52,040
Speaker 1: don't see how Joe recovers. I don't see any possibility.

1417
01:19:52,120 --> 01:19:55,200
Speaker 1: So plan B now is Bloomberg all right, Well, what's

1418
01:19:55,240 --> 01:19:59,120
Speaker 1: Bloomberg Democrats? Now? This was in the Washington Post. They're

1419
01:19:59,160 --> 01:20:01,880
Speaker 1: expecting that Democrats are going to go after everything as

1420
01:20:01,920 --> 01:20:04,360
Speaker 1: it relate. Okay, the's gonna get away with his comments

1421
01:20:04,439 --> 01:20:07,599
Speaker 1: about farming, his comments about oh you're ninety five years old,

1422
01:20:07,640 --> 01:20:09,320
Speaker 1: drop dead, get out of here. We're not paying for

1423
01:20:09,360 --> 01:20:12,439
Speaker 1: your healthcare. What about is You know how arrogant now

1424
01:20:12,520 --> 01:20:14,479
Speaker 1: to touch he is. At the end of the day, though,

1425
01:20:14,479 --> 01:20:17,080
Speaker 1: they're all the same. I mean, you've got some version

1426
01:20:17,200 --> 01:20:20,479
Speaker 1: of the New Green Deal that they support. They got

1427
01:20:20,600 --> 01:20:25,280
Speaker 1: some version of them nationalizing industry. You got some version

1428
01:20:25,560 --> 01:20:29,160
Speaker 1: of their Medicare for all except I guess Bernie, I

1429
01:20:29,240 --> 01:20:32,360
Speaker 1: guess Bloomberg one's death pedals. You got some version of

1430
01:20:32,520 --> 01:20:37,600
Speaker 1: stacking the courts and eliminating the electoral college so they

1431
01:20:37,680 --> 01:20:40,920
Speaker 1: can cheat. You got some version of open borders. You

1432
01:20:41,000 --> 01:20:44,160
Speaker 1: got some version of Everything's free. You got some version

1433
01:20:44,240 --> 01:20:46,840
Speaker 1: of tuition that's going to be paid for. And then

1434
01:20:46,880 --> 01:20:50,120
Speaker 1: you have the one version is well, we just hate

1435
01:20:50,160 --> 01:20:52,960
Speaker 1: Donald Trump, and that seems to be the overwhelming message

1436
01:20:52,960 --> 01:20:55,640
Speaker 1: of everybody. But okay, well the results matter, because if

1437
01:20:55,680 --> 01:20:58,439
Speaker 1: the results matter, Donald Trump will win reelection in two

1438
01:20:58,520 --> 01:21:00,240
Speaker 1: hundred and fifty nine days. But I don't have to

1439
01:21:00,320 --> 01:21:02,120
Speaker 1: decide that. We just get to give you the news

1440
01:21:02,160 --> 01:21:05,559
Speaker 1: and information that the mob keeps from you, like this success.

1441
01:21:05,680 --> 01:21:09,040
Speaker 1: When is the mob ever told you the success story

1442
01:21:09,080 --> 01:21:12,400
Speaker 1: of Donald Trump's presidency, just like they hid the failure.

1443
01:21:12,640 --> 01:21:15,680
Speaker 1: And I know Obama's take Obama yesterday takes credit for

1444
01:21:16,439 --> 01:21:19,880
Speaker 1: the Trump economy. I'm like, no, you don't get credit

1445
01:21:19,920 --> 01:21:23,800
Speaker 1: for the Trump economy. Ending burdensome regulation, cutting tax has

1446
01:21:23,880 --> 01:21:28,320
Speaker 1: dramatically impacted the economy in positive ways. By every measure,

1447
01:21:28,439 --> 01:21:31,160
Speaker 1: we're doing a lot better. Then if you look, okay,

1448
01:21:31,200 --> 01:21:34,280
Speaker 1: we're not bribing dictators anymore, are we? One hundred and

1449
01:21:34,320 --> 01:21:37,160
Speaker 1: fifty billion cash of the currency now not ain't happening.

1450
01:21:37,400 --> 01:21:40,680
Speaker 1: Solomani's dead, the number one state sponsor of terror, the

1451
01:21:40,720 --> 01:21:44,599
Speaker 1: guy that carried out all that terrorism, all those proxy wars.

1452
01:21:45,080 --> 01:21:49,360
Speaker 1: Solomani dead, Bagdaddy dead, the Caliphate dead. Now the head

1453
01:21:49,400 --> 01:21:52,320
Speaker 1: of al Qaeda and Yemen dead. Oh, I'd say those

1454
01:21:52,320 --> 01:21:55,280
Speaker 1: are pretty big accomplishments. But what did Trump do that

1455
01:21:55,479 --> 01:21:58,440
Speaker 1: Obama Biden didn't do. Is they took off the handcuffs

1456
01:21:58,479 --> 01:22:00,800
Speaker 1: of the military and the rules of engagement so we

1457
01:22:00,840 --> 01:22:04,040
Speaker 1: can beat the caliphate, bombed him into oblivion and now

1458
01:22:04,240 --> 01:22:06,920
Speaker 1: using the next generation of weaponry which we got to

1459
01:22:06,960 --> 01:22:10,760
Speaker 1: continue building. All right, Ohio, Michael is next. Michael will

1460
01:22:10,800 --> 01:22:12,840
Speaker 1: be watching the Great State of Ohio in two hundred

1461
01:22:12,840 --> 01:22:15,519
Speaker 1: and fifty nine days. Sir, glad you're aboard. Hey, thank you,

1462
01:22:15,560 --> 01:22:18,320
Speaker 1: Sean Hey. Quick question, how could Bernie run as a

1463
01:22:18,400 --> 01:22:21,880
Speaker 1: Democrat if he's not even registered as a Democrat. But

1464
01:22:22,160 --> 01:22:26,960
Speaker 1: listen Bloomberg. Oh you mean Bernie Sanders. Bernie Sanders. Oh yeah, Bernie. Well,

1465
01:22:26,960 --> 01:22:29,200
Speaker 1: he caucuses and he's running as a Democrat in the

1466
01:22:29,240 --> 01:22:31,040
Speaker 1: Democratic primary. I don't know if he had to change

1467
01:22:31,080 --> 01:22:33,920
Speaker 1: his registration. I assume he probably did, That's my guess.

1468
01:22:34,439 --> 01:22:38,400
Speaker 1: I mean, look, it's like maybe they can't kick him

1469
01:22:38,400 --> 01:22:40,519
Speaker 1: out of the party if he's not registered. Well, they'd

1470
01:22:40,560 --> 01:22:42,800
Speaker 1: like to, I mean, they want to cheat him again.

1471
01:22:43,040 --> 01:22:44,840
Speaker 1: And I don't know what they get in Bloomberg that

1472
01:22:44,880 --> 01:22:47,439
Speaker 1: they don't have him Bernie Sanders, everyone seems to think,

1473
01:22:48,000 --> 01:22:50,880
Speaker 1: you know, I mean, I think they, if anything, if

1474
01:22:51,160 --> 01:22:54,000
Speaker 1: it's gonna be fascinating in this debate that it comes up.

1475
01:22:54,000 --> 01:22:56,120
Speaker 1: I guess later this week. Are they really gonna go

1476
01:22:56,200 --> 01:22:59,560
Speaker 1: after Bloomberg for his comments? Are they gonna think? I

1477
01:22:59,600 --> 01:23:02,000
Speaker 1: don't know if these nationals will make the Democrats and

1478
01:23:02,080 --> 01:23:04,639
Speaker 1: Republicans as a committee. Don't they have rules if you're

1479
01:23:04,640 --> 01:23:06,680
Speaker 1: gonna run into their label, Well, here's some rules you

1480
01:23:06,760 --> 01:23:10,120
Speaker 1: have to run under. Well they're supposed to be Remember

1481
01:23:10,160 --> 01:23:12,800
Speaker 1: we were reading again. Although Donna Brazil. I talked to

1482
01:23:12,880 --> 01:23:15,439
Speaker 1: Donna Brazil last night. Donna Brazil was the one that

1483
01:23:15,560 --> 01:23:17,960
Speaker 1: had to tell Bernie Sanders that, yeah, they cheated you

1484
01:23:18,240 --> 01:23:20,679
Speaker 1: back in twenty sixteen, and she said she was teary

1485
01:23:20,760 --> 01:23:22,559
Speaker 1: eyed when she said it, and I believe her. I've

1486
01:23:22,640 --> 01:23:25,400
Speaker 1: known Donna for many, many years, and while we don't

1487
01:23:25,400 --> 01:23:29,000
Speaker 1: agree on politics, we get along great. She's fine, lovely person.

1488
01:23:29,160 --> 01:23:32,720
Speaker 1: We just disagree politically. And but they're trying to cheat

1489
01:23:32,800 --> 01:23:35,000
Speaker 1: him again. They're trying to get the super delegates to

1490
01:23:35,080 --> 01:23:37,719
Speaker 1: run in the first ballot again. They're trying to stack

1491
01:23:37,800 --> 01:23:40,479
Speaker 1: the deck again. I don't think Bernie Sanders supporters are

1492
01:23:40,520 --> 01:23:42,599
Speaker 1: going to take it as as well as they did

1493
01:23:42,680 --> 01:23:49,080
Speaker 1: the last time. That's my guest. I'm literally about I'm

1494
01:23:49,160 --> 01:23:56,320
Speaker 1: not kidding you right now. I literally I was a

1495
01:23:56,400 --> 01:24:01,960
Speaker 1: Bernie supporter back in twenty sixteen for Bernie supporters. All right, Michael,

1496
01:24:02,040 --> 01:24:04,080
Speaker 1: we'll be watching you two hundred and fifty nine days.

1497
01:24:04,200 --> 01:24:09,120
Speaker 1: Thank you, sir, Don Lake Ronkonkoma, Long Island, New York.

1498
01:24:09,200 --> 01:24:12,240
Speaker 1: What's up, Don? Welcome aboard, sir. Hey, it's always great

1499
01:24:12,280 --> 01:24:14,760
Speaker 1: to talk to you, my friend. Pleasures mind what's on

1500
01:24:14,840 --> 01:24:17,400
Speaker 1: your mind today? Don listen? Since I was eleven years old,

1501
01:24:17,439 --> 01:24:19,760
Speaker 1: I worked on a farm in upstate New York. Wow,

1502
01:24:20,200 --> 01:24:22,320
Speaker 1: I didn't know that. Oh yeah, oh yeah, we've had

1503
01:24:22,360 --> 01:24:24,439
Speaker 1: a farm up there. We still have it. My mother's

1504
01:24:24,439 --> 01:24:30,640
Speaker 1: still up there. But that the insulting mister Bloomberg is

1505
01:24:30,680 --> 01:24:34,040
Speaker 1: just incredible. You know, my nephew, when he was twenty one,

1506
01:24:34,680 --> 01:24:38,400
Speaker 1: he drove from New Jersey where he's on a farm there,

1507
01:24:39,000 --> 01:24:42,400
Speaker 1: and he drove out to Texas in April and he

1508
01:24:42,520 --> 01:24:46,599
Speaker 1: worked on the combines and from May to November they

1509
01:24:46,680 --> 01:24:51,120
Speaker 1: went up from Texas through Oklahoma, through Kansas through Nebraska,

1510
01:24:51,439 --> 01:24:54,360
Speaker 1: harvesting the wheat. When they got to Montana. They turned

1511
01:24:54,400 --> 01:24:57,519
Speaker 1: around and they harvested the corn behind them. We're all

1512
01:24:57,560 --> 01:25:00,760
Speaker 1: the equipment. To fix the equipment. He was a diesel

1513
01:25:00,840 --> 01:25:04,400
Speaker 1: mechanic and he's an expert welder. At the age of

1514
01:25:04,479 --> 01:25:08,960
Speaker 1: this fourteen man team was eighteen to nineteen. He was

1515
01:25:09,000 --> 01:25:11,800
Speaker 1: twenty one at the time. And they had to they

1516
01:25:11,960 --> 01:25:14,920
Speaker 1: had to do everything to get that weeded. They were

1517
01:25:15,200 --> 01:25:18,760
Speaker 1: slaves to the labe, to the weather. One hailstorm would

1518
01:25:18,880 --> 01:25:21,920
Speaker 1: knock out the entire corn crop. It was just amazing,

1519
01:25:21,960 --> 01:25:24,600
Speaker 1: and it just to be what those farmers have to

1520
01:25:24,720 --> 01:25:27,599
Speaker 1: go to, not just to feed themselves, but to feed

1521
01:25:27,680 --> 01:25:30,120
Speaker 1: out country and feed the world shown and you've known

1522
01:25:30,280 --> 01:25:34,160
Speaker 1: and you've known that for years. It's so sophisticated. It

1523
01:25:34,360 --> 01:25:39,080
Speaker 1: is so scientifically advanced. There is so much knowledge that

1524
01:25:39,320 --> 01:25:44,000
Speaker 1: they have accumulated. And you're right, we feed the entire country.

1525
01:25:44,040 --> 01:25:46,600
Speaker 1: But if you're Bloomberg, well I could teach you how

1526
01:25:46,640 --> 01:25:48,439
Speaker 1: to farm. You don't take a seed, drop it in

1527
01:25:48,520 --> 01:25:50,360
Speaker 1: a hole, put some dirt on, a little water. You're

1528
01:25:50,400 --> 01:25:54,280
Speaker 1: all done. It's breath taking. It takes my breath away.

1529
01:25:54,320 --> 01:25:56,880
Speaker 1: The level of arrogance, it is actually laughable because he

1530
01:25:57,000 --> 01:26:00,760
Speaker 1: thinks he's so you know, SE's so sank ammonius and

1531
01:26:01,680 --> 01:26:05,599
Speaker 1: oh arrogant beyond words. You know, I could teach all

1532
01:26:05,640 --> 01:26:07,760
Speaker 1: of you at a far I could teach anyone. You

1533
01:26:07,840 --> 01:26:09,680
Speaker 1: need more gray matter to do what I do. You

1534
01:26:09,760 --> 01:26:12,640
Speaker 1: need more gray matter to d the information age? Um,

1535
01:26:13,160 --> 01:26:15,160
Speaker 1: I don't know. I mean, I wonder if this guy

1536
01:26:15,200 --> 01:26:17,920
Speaker 1: ever went to a grocery store. I love grocery shopping.

1537
01:26:17,920 --> 01:26:19,200
Speaker 1: I don't know what's wrong with me. You know I

1538
01:26:19,280 --> 01:26:21,240
Speaker 1: used to because I remember when I would grocery shop

1539
01:26:21,320 --> 01:26:23,880
Speaker 1: and I'd have to like pinch pennies. I couldn't buy anything.

1540
01:26:24,080 --> 01:26:26,320
Speaker 1: Now I go grocery shopping. I'll take this, I'll take this,

1541
01:26:26,520 --> 01:26:28,840
Speaker 1: I'll take this, I'll take this. I get everything to me.

1542
01:26:28,960 --> 01:26:31,479
Speaker 1: It's like a kid in a candy store with a

1543
01:26:31,520 --> 01:26:33,439
Speaker 1: lot of money, and I'm just like, oh, I can

1544
01:26:33,479 --> 01:26:35,519
Speaker 1: spend anything I want now. I never would have bought

1545
01:26:35,560 --> 01:26:37,720
Speaker 1: this before, but now I'll buy it. Does that make sense?

1546
01:26:38,000 --> 01:26:39,360
Speaker 1: I had money for a lot of years now, but

1547
01:26:39,400 --> 01:26:40,920
Speaker 1: I still think like when I was, when I had

1548
01:26:40,960 --> 01:26:43,840
Speaker 1: no money, My mind was shifted by every time you

1549
01:26:43,920 --> 01:26:46,760
Speaker 1: go food shopping, I always buy a meat. I'm a

1550
01:26:46,840 --> 01:26:50,280
Speaker 1: meat eater, you know, like you always like, for example,

1551
01:26:50,360 --> 01:26:52,640
Speaker 1: like my son loves French fries, So every time I

1552
01:26:52,720 --> 01:26:55,360
Speaker 1: go food shopping, I buy French fries. Every time you

1553
01:26:55,439 --> 01:26:59,599
Speaker 1: go food shopping, what's the one stable you buy meat salt? Yeah,

1554
01:27:00,000 --> 01:27:02,760
Speaker 1: exactly five canisters at least that I'll get you through

1555
01:27:02,760 --> 01:27:05,280
Speaker 1: a week. Right now. If I told you my eating habits,

1556
01:27:05,280 --> 01:27:07,559
Speaker 1: people would think I'm absolutely insane. So I don't even

1557
01:27:07,600 --> 01:27:09,960
Speaker 1: want to go there. I come up with these concoctions. No,

1558
01:27:10,160 --> 01:27:14,040
Speaker 1: I mean I tend to like eat. I will eat

1559
01:27:14,600 --> 01:27:18,120
Speaker 1: lean chop meat, always love that. I get the thinnest

1560
01:27:18,240 --> 01:27:23,000
Speaker 1: steak possible, I mean, like a t bone, but it

1561
01:27:23,120 --> 01:27:26,719
Speaker 1: only has like it's point five five of a pound,

1562
01:27:26,920 --> 01:27:29,360
Speaker 1: And they make them, and I go to stop and

1563
01:27:29,400 --> 01:27:31,439
Speaker 1: shop where I live, you know, it's like Albert's in

1564
01:27:31,479 --> 01:27:34,560
Speaker 1: the public's wherever people are, and I get those. I

1565
01:27:34,680 --> 01:27:38,120
Speaker 1: get the thin sliced chicken cutlets. I like those. I

1566
01:27:38,280 --> 01:27:40,479
Speaker 1: like to make things a lot different than anything else.

1567
01:27:40,520 --> 01:27:43,880
Speaker 1: I use a lot of flavorings. I like chili powder,

1568
01:27:44,000 --> 01:27:47,240
Speaker 1: a lot hot chili powder, and garlic, salt and onion,

1569
01:27:47,360 --> 01:27:50,000
Speaker 1: salt and pepper. Use a lot of that. I like

1570
01:27:50,120 --> 01:27:53,759
Speaker 1: to grill. What else do I get? Are you putting

1571
01:27:53,800 --> 01:27:55,880
Speaker 1: it on? Is it olive oil or butter. Now I

1572
01:27:55,920 --> 01:27:58,120
Speaker 1: don't use any butter. No, I actually use believe it

1573
01:27:58,240 --> 01:28:02,880
Speaker 1: or not, vegetable broth or or I brought vegetable broth.

1574
01:28:03,080 --> 01:28:06,160
Speaker 1: Yeah broth. Yeah, you can cook anything in it and

1575
01:28:06,240 --> 01:28:09,080
Speaker 1: it's only like fifteen calories. I like pork chops, but

1576
01:28:09,160 --> 01:28:11,519
Speaker 1: I like only the thin ones with bones. I'm a

1577
01:28:11,640 --> 01:28:14,479
Speaker 1: bone nut. My mother could strip like she would eat

1578
01:28:14,600 --> 01:28:17,080
Speaker 1: chicken and you know, like a chicken wing, and she

1579
01:28:17,200 --> 01:28:19,760
Speaker 1: would it would be nothing left. It would be like

1580
01:28:19,840 --> 01:28:21,720
Speaker 1: she still eats she's eating the bone. I'd like I

1581
01:28:22,240 --> 01:28:24,560
Speaker 1: have that, whatever it is, I like to throw a

1582
01:28:24,640 --> 01:28:26,200
Speaker 1: lot of salt on it and just suck on the

1583
01:28:26,240 --> 01:28:28,559
Speaker 1: bone from you get your salt firm costco with how

1584
01:28:28,640 --> 01:28:32,400
Speaker 1: much you go through it. You're all right, you're a

1585
01:28:32,479 --> 01:28:34,439
Speaker 1: wise ass. And you did give me a great present

1586
01:28:34,520 --> 01:28:36,719
Speaker 1: when Christmas. You got me salt from all over the world.

1587
01:28:36,800 --> 01:28:40,559
Speaker 1: Black salt, pink salt, yellow salt, salt, they here salt,

1588
01:28:40,680 --> 01:28:44,240
Speaker 1: you know from all that one very fast and uh,

1589
01:28:44,400 --> 01:28:46,000
Speaker 1: but I did enjoy it when you put salt and

1590
01:28:46,120 --> 01:28:49,280
Speaker 1: salt on the salt. I don't put salt on the salt.

1591
01:28:49,560 --> 01:28:54,720
Speaker 1: I do eat some vegetables. I do like tomatoes. I

1592
01:28:54,840 --> 01:28:59,040
Speaker 1: like cucumbers. I like celery tomatoes or fruit. I know true,

1593
01:28:59,200 --> 01:29:03,479
Speaker 1: i'd like salary. I do like peas and carrots and corn.

1594
01:29:03,600 --> 01:29:06,840
Speaker 1: But you're a big to friend guy. And onions, foot

1595
01:29:06,840 --> 01:29:10,280
Speaker 1: onions and everything. Saute onions, even saute them in the

1596
01:29:10,439 --> 01:29:12,920
Speaker 1: vegetable broth because this way I don't use butter, and

1597
01:29:13,080 --> 01:29:16,080
Speaker 1: you can use oils too. All right, my cooking show

1598
01:29:16,160 --> 01:29:20,400
Speaker 1: is almost over. Let's go to Jeremy is an Oklahoma Jeremy,

1599
01:29:20,439 --> 01:29:23,240
Speaker 1: how are you glad you called it's handy farmer's shopper

1600
01:29:23,320 --> 01:29:27,120
Speaker 1: hour and farm in shop go ahead, doing well, Sean.

1601
01:29:27,240 --> 01:29:29,760
Speaker 1: My question or comment is, I'm a first time voter

1602
01:29:29,920 --> 01:29:32,479
Speaker 1: this year. I'm twenty one college studing. I'm a first

1603
01:29:32,520 --> 01:29:34,760
Speaker 1: time voter. I'm on the Trump train this year. But

1604
01:29:34,960 --> 01:29:37,639
Speaker 1: my questions about Michael Bloomberg if he does the tend

1605
01:29:37,720 --> 01:29:40,559
Speaker 1: the nominee, if it goes to contested convention, or if

1606
01:29:40,600 --> 01:29:43,519
Speaker 1: he does well I'm super Tuesday. If he even thinks

1607
01:29:43,560 --> 01:29:46,800
Speaker 1: of picking Hillary clintonesss VP, do you think that would

1608
01:29:46,800 --> 01:29:49,960
Speaker 1: honestly help his poll numbers? You know, as well as

1609
01:29:50,520 --> 01:29:52,960
Speaker 1: how she did in twenty sixteen, as far as from

1610
01:29:53,000 --> 01:29:57,200
Speaker 1: the exit polls among millennials and even independence. You know,

1611
01:29:57,280 --> 01:30:01,080
Speaker 1: with that, here's my here's Bloomberg, here's my measure. Are

1612
01:30:01,160 --> 01:30:03,280
Speaker 1: you better off than you were four years ago? I

1613
01:30:03,320 --> 01:30:06,839
Speaker 1: would say, check, we are. I won't repeat foreign policy

1614
01:30:07,000 --> 01:30:10,760
Speaker 1: Solomoni beg daddy, the caliphate, the al Qaeda hadn't you

1615
01:30:10,840 --> 01:30:14,360
Speaker 1: haven't done? Are we better off with trade deals? Yes?

1616
01:30:14,439 --> 01:30:16,360
Speaker 1: Did he keep that promise? Did he keep his tax

1617
01:30:16,479 --> 01:30:19,040
Speaker 1: cut promise? Yes? Did he keep his promise? Now he

1618
01:30:19,160 --> 01:30:21,400
Speaker 1: secured the money and he's building the border wall. Did

1619
01:30:21,439 --> 01:30:24,440
Speaker 1: he keep his promise on trade deals? You know, promises

1620
01:30:24,479 --> 01:30:28,200
Speaker 1: made promises. Cap. Now the people that were his base

1621
01:30:28,280 --> 01:30:31,240
Speaker 1: in twenty sixteen, are they still energized? Are they still

1622
01:30:31,360 --> 01:30:33,880
Speaker 1: going to support Trump? I'd say one hundred percent. I

1623
01:30:33,920 --> 01:30:37,240
Speaker 1: don't think there's any attrition. Okay, next question, all the

1624
01:30:37,400 --> 01:30:40,800
Speaker 1: people Remember we have eight million new jobs created, record

1625
01:30:40,880 --> 01:30:44,200
Speaker 1: low unemployment for every demographic. Is there is there a

1626
01:30:44,280 --> 01:30:48,040
Speaker 1: possibility that those people that have benefited the most under

1627
01:30:48,080 --> 01:30:52,280
Speaker 1: the Trump economic plan that they will cross over and

1628
01:30:52,400 --> 01:30:55,719
Speaker 1: vote for Trump? Have Americans also adopted to Trump's style,

1629
01:30:55,800 --> 01:30:59,839
Speaker 1: which is combative at times and hard hitting and irrever

1630
01:31:00,240 --> 01:31:04,160
Speaker 1: and iconoclastic and disruptive. I think they have I think

1631
01:31:04,200 --> 01:31:07,400
Speaker 1: the only people surprised or feigning surprise, or the media

1632
01:31:07,479 --> 01:31:13,240
Speaker 1: mob and Democrats. So but with that said, remember I

1633
01:31:13,320 --> 01:31:17,439
Speaker 1: don't know. I mean if Bloomberg, will African Americans take

1634
01:31:17,520 --> 01:31:20,439
Speaker 1: offense at all these comments by Bloomberg? I would think

1635
01:31:20,479 --> 01:31:22,760
Speaker 1: they do? You know, would women be offended by all

1636
01:31:22,800 --> 01:31:26,280
Speaker 1: the stuff Bloomberg apparently saying to women? Yeah? I think so?

1637
01:31:28,040 --> 01:31:33,240
Speaker 1: Does anybody want the Democratic agenda of everything's free, nationalized industry,

1638
01:31:33,439 --> 01:31:39,320
Speaker 1: open borders, citizenship, free healthcare, sanctuary states, cities, a sanctuary country.

1639
01:31:40,200 --> 01:31:42,920
Speaker 1: Do they want a wealth tax? They want to higher taxes,

1640
01:31:43,000 --> 01:31:45,640
Speaker 1: they want more regulation? Do they really want the New

1641
01:31:45,760 --> 01:31:48,040
Speaker 1: Green Deal? And you know we're going to get off

1642
01:31:48,160 --> 01:31:50,400
Speaker 1: oil and gas in ten years. I don't think so.

1643
01:31:50,800 --> 01:31:54,040
Speaker 1: Medicare for all had Obamacare workout. So I'm just looking

1644
01:31:54,080 --> 01:31:57,240
Speaker 1: at the normal measures we'd look at heading into a

1645
01:31:57,320 --> 01:32:00,519
Speaker 1: reelection year, and I think things look good. You gotta

1646
01:32:00,560 --> 01:32:05,920
Speaker 1: win North Carolina, Florida, Ohio, pickoff Pennsylvania, Wisconsin, Michigan, Minnesota,

1647
01:32:06,240 --> 01:32:09,879
Speaker 1: and you gotta hold Arizona. Gotta look to get Nevada,

1648
01:32:09,960 --> 01:32:12,800
Speaker 1: New Mexico, in New Hampshire. It's a big it's a

1649
01:32:12,920 --> 01:32:15,559
Speaker 1: heavy lift for a Republican when you start without New York,

1650
01:32:15,640 --> 01:32:18,760
Speaker 1: New Jersey, Illinois, and California. All right, that's gonna wrap

1651
01:32:18,840 --> 01:32:21,160
Speaker 1: things up at tonight. Now, Oh, we're gonna talk about

1652
01:32:21,280 --> 01:32:26,320
Speaker 1: let's see Farmer Mike tonight, many Mike, Mary Poppins, the farmer,

1653
01:32:26,840 --> 01:32:31,920
Speaker 1: Farmer Mike Bloomberg, what a but just unbelievable, the latest

1654
01:32:32,040 --> 01:32:35,680
Speaker 1: racial comments we'll get to. And also tonight we have

1655
01:32:35,800 --> 01:32:38,479
Speaker 1: a full litany of people including do you know Devin

1656
01:32:38,560 --> 01:32:42,000
Speaker 1: Newness as a farmer? I never knew that before. We

1657
01:32:42,160 --> 01:32:47,599
Speaker 1: have Lawrence our twenty twenty correspondent, Lawrence Jones, Dan Bongino, Horaldo, Sarah,

1658
01:32:47,680 --> 01:32:51,200
Speaker 1: Greg Lisa Booth tonight and much much more. Oh, and

1659
01:32:51,280 --> 01:32:54,960
Speaker 1: the guy that broke the Clinton Lynch tarmac story. That's

1660
01:32:54,960 --> 01:32:57,479
Speaker 1: all happening ninety Eastern Fox. We'll see you tonight at

1661
01:32:57,560 --> 01:33:00,160
Speaker 1: n I'm back here tomorrow. We'll have the latest on

1662
01:33:00,240 --> 01:33:02,439
Speaker 1: Farmer Mike and everything. Anyway, I have a great night.

1663
01:33:02,479 --> 01:33:03,719
Speaker 1: We'll see you to night. Back here tomorrow,