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Speaker 1: You are entering the freedom. Huge Trump's arrangement syndrome is

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Speaker 1: reaching its end stage. A massive Pennsylvania ballot counting decision

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Speaker 1: from the Supreme Court. Big tech battle escalates with the

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Speaker 1: d o J. Trump takes on Fauci and so much more.

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Speaker 1: Buck Sexton, coding the news and disseminating information is actionable intelligence.

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Speaker 1: Make no mistake, Great, You're a great American again. This

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Speaker 1: is the buck Sexton Show. Homer CIA analysts, I can

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Speaker 1: speak to three hours without a phone call. Try doing

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Speaker 1: that sometime. No, welcome everyone to the buck Sexton Show.

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Speaker 1: Thank you so much for being here. You will notice

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Speaker 1: that right now there's a ten in most of the

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Speaker 1: media broadcasts out there. There's an anxiety that shows you,

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Speaker 1: in and of itself, how many people are really invested emotionally, psychologically,

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Speaker 1: professionally in a certain outcome of this election. And un

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Speaker 1: understand this, As I've been telling you all along, it

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Speaker 1: is entirely unclear to me how liberals will be able

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Speaker 1: to process a Trump reelection should that happen. It is

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Speaker 1: entirely beyond my comprehension how they will manage to comprehend this,

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Speaker 1: how they'll manage to actually deal with this without I

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Speaker 1: don't know, more craziness in the streets, rioting, looting, who knows,

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Speaker 1: or they'll just come up with another reason why the

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Speaker 1: president didn't win this time around. But you can see it.

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Speaker 1: It's getting worse because they're also saying crazier and crazier

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Speaker 1: stuff and you barely even notice it. And I'm talking

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Speaker 1: about the biggest name as the Democrat Party. I'm talking

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Speaker 1: about people with massive followings online at social media. These

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Speaker 1: are people who you would expect to exercise some degree

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Speaker 1: of judgment, some degree of or at least a willingness

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Speaker 1: to hold back with their most insane and outlandish emotions

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Speaker 1: about this upcoming election, which is now two weeks from today,

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Speaker 1: and as we know, I think over thirty million at

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Speaker 1: least as of yesterday, early ballots have already been cast.

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Speaker 1: So there's a lot of stuff going on already, and

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Speaker 1: we can see how this battleground is shaping up so far,

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Speaker 1: and it is going to be an absolute dog fight,

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Speaker 1: street fight. Come up with your come up with your

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Speaker 1: a term of term of art here, it's definitely gonna

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Speaker 1: get ugly. It's going to be ugly. You're seeing Trump't

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Speaker 1: derangement syndrome really reaching new heights, because remember the last

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Speaker 1: time we got to this phase, even Trump supporters. I

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Speaker 1: voted for the president in the first election. I was

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Speaker 1: a vocal supporter of him all throughout the general election,

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Speaker 1: encouraging everybody I could to vote for him. And I

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Speaker 1: thought I was doing something that it's probably not going

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Speaker 1: to work out. I just figured the Hillary machine too big,

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Speaker 1: too much. Turned out, Thank god, that was wrong. This

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Speaker 1: time around, though, the Liberals are going into this with

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Speaker 1: a state of panic in the back of their minds. Yeah,

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Speaker 1: they want to put on a big show of how

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Speaker 1: confident they are right now. Oh, look at Joe and

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Speaker 1: the polls. He's leading in every battleground state. He's leading

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Speaker 1: in just the national poll. He's leading it. Okay, well,

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Speaker 1: we'll see, we'll see. If anything, We've already come to

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Speaker 1: the conclusion of the Trump era that a lot of

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Speaker 1: the old political shibbalts, a lot of the old maxims

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Speaker 1: that we had lived by in politics turned out not

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Speaker 1: to be true. Right, Oh, the candidate with the best

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Speaker 1: ground game, to candidate with the most with the most

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Speaker 1: media buys and key markets or raises the most money.

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Speaker 1: Although that's never really been true. No, Trump was ninety

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Speaker 1: seven percent destined to lose in twenty sixteen, and they

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Speaker 1: want you to believe somehow that he's even more destined

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Speaker 1: to lose now. And I don't buy it, and I

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Speaker 1: know you don't buy it either. So just remember that

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Speaker 1: there is an advantage, There is an incentive in making

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Speaker 1: sure that Trump voters feel like this is hopeless. The

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Speaker 1: media is in on this, Trump's opponent Biden, all the

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Speaker 1: rest of them are in on this. And now we

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Speaker 1: got this debate coming up on Thursday, which I'll talk

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Speaker 1: more about, but I think this will be one of

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Speaker 1: the most watch presidential debates in history. I think this

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Speaker 1: what is going to be completely off the chain, off

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Speaker 1: the hook however you want to say it. And you

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Speaker 1: can tell based on the way the Democrats are looking

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Speaker 1: at all of this and how they're preparing their own

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Speaker 1: side that one. And this will tie into our discussion

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Speaker 1: about Pennsylvania and the ballot the delayed ballot counting that

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Speaker 1: the Supreme Court has now said will occur there. I'm

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Speaker 1: going to get to that. They want everyone to know

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Speaker 1: they're not going to concede on election night if it's close.

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Speaker 1: Depends on how close it is probably, but they're not

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Speaker 1: going to concede, so we're not going to be through

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Speaker 1: this is so imagine all the tension, all the anxiety

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Speaker 1: of this year. This has been a tough year for America.

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Speaker 1: I don't care what part of the country you're in. COVID,

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Speaker 1: the lockdowns, just the general sense of misery and frustration

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Speaker 1: that so many people have, including a lot of people

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Speaker 1: that feel real lost because of the family members that

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Speaker 1: have passed away from COVID. You know, the country's inn

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Speaker 1: a tough spot right now. And fascinatingly enough, though, despite

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Speaker 1: all those very true, those very true statements, you have

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Speaker 1: fifty five percent in the most recent polling of Americans

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Speaker 1: saying that they think they're better off now than they

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Speaker 1: were four years ago. I think that's only possible. The

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Speaker 1: only way you get to that perception is if you're

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Speaker 1: measuring Trump before COVID hit. How were you doing before COVID,

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Speaker 1: and people believe that they're going to go back to

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Speaker 1: that place as soon as we get through this. This

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Speaker 1: is temporary. It shall pass. The question now is how

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Speaker 1: soon and how much damage is being done in the meantime.

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Speaker 1: But that's all a very rational way of looking at this.

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Speaker 1: And you have to remember that we're dealing with an

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Speaker 1: entirely irrational opposition Democrat Party, mainstream media. Here is Elizabeth,

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Speaker 1: Elizabeth Warren, who I actually thought, despite her Native American

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Speaker 1: heritage debacle, despite all that, I really believe that Elizabeth

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Speaker 1: Warren was probably going to be the Democrat nominee. And

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Speaker 1: she came really, I think you'd say, in third place

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Speaker 1: behind Bernie and Biden. But this is so that's important

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Speaker 1: because here's somebody who's not just a random a TV

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Speaker 1: commentator who's trying to get attention, who's not just out

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Speaker 1: there trying to make a name for himself or herself

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Speaker 1: by being outrageous. This is someone who we believe, or

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Speaker 1: we are led to believe, should be taken very seriously. Right.

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Speaker 1: We should listen to her, we should believe that she's

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Speaker 1: thinking about her words. And then she says stuff like this,

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Speaker 1: which i'd have to say for a sitting United States

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Speaker 1: Senator for Massachusetts to say this, it's pretty crazy, but

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Speaker 1: it's really indicative of this moment. I don't I don't

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Speaker 1: think that this is an outlier statement, and that's what

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Speaker 1: I believe it is so important. I think that this

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Speaker 1: is where the Democrats really are now not all of them,

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Speaker 1: but a lot of the most of them. This is

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Speaker 1: now the ethos of the party. Here she is play

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Speaker 1: clip three. Climate crisis is here, and no it is not.

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Speaker 1: The science around this is not controversial. The science is clear.

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Speaker 1: In fact, you know what scares me to death is

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Speaker 1: every time we get more data and reanalyze the data,

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Speaker 1: what we discovers the problems even worse than we thought.

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Speaker 1: We have even less time than we thought. And so

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Speaker 1: what has Donald Trump done for four years? He not

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Speaker 1: only hasn't made things better, he has actively made them worse.

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Speaker 1: He withdraws from the Paris Climate Accord. He's put a

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Speaker 1: coal lobbyist in charge of the Environmental Protection Agency. What

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Speaker 1: could possibly go wrong? He has opened up for offshore

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Speaker 1: drilling and he has said yes to the oil companies

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Speaker 1: they can drill in the Arctic National Wildlife Preserve. Donald

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Speaker 1: Trump threatens the existence of human life, of all life

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Speaker 1: on this planet. Now that last line is what I

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Speaker 1: really wanted you to hear. Donald Trump threatens the existence

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Speaker 1: of human life on this planet. Donald Trump is going

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Speaker 1: to make humanity go extinct. Do you do you see that?

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Speaker 1: Do you hear that? Friends? Sitting senator from Massachusetts came

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Speaker 1: in third the Democrat primary. She says that out loud.

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Speaker 1: She says that over a loudspeaker at a press conference,

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Speaker 1: doesn't even doesn't even really get much notice. Yeah, that's

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Speaker 1: pretty standard. Trump is going to eradicate the human species.

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Speaker 1: I'm not I'm not making this up. I'm not exaggerating.

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Speaker 1: Donald Trump threatens the existence of human life. Those are

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Speaker 1: her words, her chosen practice, prepared words. How do you

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Speaker 1: handle a left wing opposition that speaks in this way,

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Speaker 1: that that takes these kinds of positions. How do you

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Speaker 1: have a civil political dialogue with people who keep looking

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Speaker 1: at you saying the data says unless you do everything

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Speaker 1: that we say, human life will cease to exist on

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Speaker 1: this planet. Wouldn't it be challenging to come up with

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Speaker 1: a crazier theory? Wouldn't you have to really struggle to

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Speaker 1: come up with something that is both cataclysmic in its

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Speaker 1: outlook and catastrophic in its implementation, which is what this

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Speaker 1: Green New Deal and all this climate stuff would be.

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Speaker 1: Wouldn't you see it that way? Yeah? And then there's

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Speaker 1: the other part of this here, we are still struggling

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Speaker 1: through COVID, still on this uneven footing, depending on what

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Speaker 1: stat you're in. Some places doing a little better than others,

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Speaker 1: but countries not normal. We don't get to really see

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Speaker 1: each other, socialize, live our lives, go out there. Nope,

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Speaker 1: everyone's being told all the time, wear a mask, stand inside,

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Speaker 1: be afraid of your fellow human beings, stay away from them.

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Speaker 1: Everybody not safe. Can't even go to Thanksgiving dinner. Fouch.

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Speaker 1: She says, sorry, no Thanksgiving for you this year. Right,

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Speaker 1: they're saying all of that, and you know, Elizabeth Warren

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Speaker 1: will also turn around and start talking about the climate crisis.

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Speaker 1: I mean, she was talking. I don't even remember what

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Speaker 1: it was she said, but you know they're going to

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Speaker 1: go drill somewhere. Who cares? Only people for whom this

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Speaker 1: is a religious belief. Think that anybody's sitting around wondering

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Speaker 1: about how awful it is that the president has a

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Speaker 1: person who's tied to the coal lobby working for the EPA,

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Speaker 1: or if that's even true, I don't even know. And

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Speaker 1: the point is I don't care. It doesn't matter. We

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Speaker 1: got much more important stuff right now. But her voice

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Speaker 1: is quivering, and she's at least projecting this sense of

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Speaker 1: imminent of imminent catastrophe unless we defeat Donald Trump at

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Speaker 1: the election. They can't just make a normal, good faith

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Speaker 1: argument about where Trump has succeeded, where he's failed, what

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Speaker 1: they do better. It's vote for Biden or else. The

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Speaker 1: world is going to come to an end. And that's

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Speaker 1: not me exaggerating. That's what their pitch is. That is

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Speaker 1: what Elizabeth Warren is telling you. Here an existential threat

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Speaker 1: to humanity. That is what Donald Trump represents. Now I

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Speaker 1: understand that by looking at the craziness of the other side,

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Speaker 1: there might be a complacency or I don't know, you

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Speaker 1: could go with complacency, or you could feel helplessness. How

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Speaker 1: could we combat this? How can you deal with this

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Speaker 1: level of ideological insanity? But I'm bringing up just because

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Speaker 1: I think when you see what the leaders of that

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Speaker 1: party are saying and what they're willing to say about

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Speaker 1: this president, you'll understand everything that's going to flow from

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Speaker 1: here until the next few weeks. Because I don't think

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Speaker 1: it's going to be over in two weeks. I think

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Speaker 1: they're going to extend it. You're going to see that

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Speaker 1: this is everything they've got, you know, and so much

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Speaker 1: of this I think is also tied into people who

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Speaker 1: are and I'll just say a people who have a

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Speaker 1: kind of emptiness. I've referred to Hillary Clinton before as

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Speaker 1: having a hole in her soul, and I think there

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Speaker 1: are a lot of people who have holes in their

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Speaker 1: souls right now, and perhaps even more so than usual

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Speaker 1: because of all the understandable anxiety and all the all

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Speaker 1: the friction and fear around COVID. But instead of taking

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Speaker 1: a longer term view about why we're really here on

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Speaker 1: this earth and thinking about a relationship with God and

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Speaker 1: taking it to that level of existential thought and consideration

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Speaker 1: and philosophy, they turn around and no, Trump is an

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Speaker 1: existential threat to people who don't know why they're here.

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Speaker 1: Trump is an existential threat to those who have to

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Speaker 1: seek some other form of understanding what their purpose is

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Speaker 1: every day, because if it's defeating this politician named Donald J. Trump,

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Speaker 1: who I think did a very good job as president,

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Speaker 1: as you know, is clearly not a threat to the world,

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Speaker 1: and it is more capable in every respect than his

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Speaker 1: competitor here, Joe Biden. You know, if that's really an

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Speaker 1: existential threat of the world, what are we to make

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Speaker 1: of what's happened for the last four years doesn't make

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Speaker 1: any sense. There is a senselessness in the arguments here,

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Speaker 1: So just be prepared for it, because it's gonna get

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Speaker 1: very nasty out there. It's gonna get ugly, and it's

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Speaker 1: gonna get evil. They didn't do anything really so far,

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Speaker 1: at least with ACB. It seemed like they couldn't come

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Speaker 1: up with anything. But you are going to hear things

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Speaker 1: said not just about Trump but about Trump voters too,

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Speaker 1: for the next two weeks that would shock a person

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Speaker 1: who was not prepared with an understanding of just how

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Speaker 1: deep into Trump't arrangement syndrome the left has gone. You've

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Speaker 1: got to keep in mind, You've got to remember that

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Speaker 1: because otherwise you're going to be caught off guard. You're

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Speaker 1: in the is the Buck Sex and Show podcast, and

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Speaker 1: if you're voting for that man who two weeks from

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Speaker 1: election day is calling for the arrest of his opponent,

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Speaker 1: then you have absolutely no idea what America is about.

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Speaker 1: Let me say it again, here's no idea what this

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Speaker 1: country is about. If you are supporting a man who

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Speaker 1: two weeks out is calling for the arrest of this money,

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Speaker 1: you can't you can't explain that away. You can't explain

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Speaker 1: that away to history. You can't explain that away to

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Speaker 1: your children or grandchildren. You just can't. And you can't

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Speaker 1: plead ignorance because you know better. I don't think you

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Speaker 1: can explain away spending more than fifteen seconds watching the

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Speaker 1: Joe Scarborough show in the morning. But that's me here.

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Speaker 1: He is one of the most fervent anti trumpers out there.

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Speaker 1: And look, we all understand this same thing with these

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Speaker 1: different anti Trump groups that have raised all this money

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Speaker 1: for Democrats to trash Trump. It's just about money, just

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Speaker 1: about influence, money power. No principles involved here. There's no

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Speaker 1: such thing as a principle never Trump pro Biden Conservative

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Speaker 1: opposition certainly not anymore. And you could argue, probably not

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Speaker 1: from the beginning either, there's no such thing. Just frauds.

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Speaker 1: There's people lying, pretending to be something that they're not.

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Speaker 1: But here you get Joe Scarborough saying that the big

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Speaker 1: problem he sees, one of many I'm sure with Donald Trump,

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Speaker 1: is that he was calling for the arrest of his opponent.

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Speaker 1: And I'm not going to call him out because he's

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Speaker 1: a conservative radio host, not one of the very very

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Speaker 1: big names. So before any of you guys. But somebody

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Speaker 1: yesterday I saw saying that, you know, could you imagine

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Speaker 1: if Democrats were calling for the arrest of their political opponents,

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Speaker 1: come on conservatives like, we can't And I'm looking at

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Speaker 1: this saying, what do you think the Muller probe was

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Speaker 1: all about? What do people think using a special counsel

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Speaker 1: that was unaccountable to anybody really, because you had an

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Speaker 1: Attorney general who was recused, so nobody was going to

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Speaker 1: step in and actually make sure this was on the

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Speaker 1: up and up. What do you call unleashing a special

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Speaker 1: counsel on people with the express purpose of taking down

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Speaker 1: to administration, prosecuting people within the administration up to and

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Speaker 1: including the president. If they could get away with it,

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Speaker 1: if they had enough to impeach and remove, they would

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Speaker 1: have done it, and then try to throw Donald Trump

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Speaker 1: in prison. You know that they want to throw General

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Speaker 1: Flynn in prison after thirty years of serving in the

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Speaker 1: United States Military and being the DA director under the

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Speaker 1: Obama administration because they lied about a conversation that he

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Speaker 1: had with a couple of FBI agents who lied about

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Speaker 1: why they were even talking to him in the first

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Speaker 1: place to get him. So now we're going to get

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Speaker 1: lectured by the other side. When the Hunter Biden emails

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Speaker 1: have come out and we see what's really going on,

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Speaker 1: we're gonna get lectured about how, oh, but you shouldn't

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Speaker 1: want anything. You shouldn't want to see your opponents prosecuted.

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Speaker 1: The Democrats tried to imprison Trump, Trump supporters, his family members,

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Speaker 1: everet around him for almost four uninterrupted years, and then

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Speaker 1: and then impeached him anyway when they couldn't actually get

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Speaker 1: the political muscle together to really make it happen to

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Speaker 1: get a removal from office. So now we're gonna be

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Speaker 1: lectured about how Trump says lock her up. Trump says

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Speaker 1: these things, and he actually has a point because Hillary

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Speaker 1: did break the law, and it looks like maybe Joe

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Speaker 1: Biden also did break the law. Hillary one hundred percent

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Speaker 1: broke the law. I don't care what moron James Comey says,

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Speaker 1: but now we have Joe Biden. Maybe he broke the

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Speaker 1: law two So do the law? Does the law count

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Speaker 1: or not? Thanks for listening to The Bus Sesson Show podcasts.

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Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app, or

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Speaker 1: wherever you get your podcasts. There's a whole lock him

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Speaker 1: Up false conspiracy theories against the Bidens really is stunning.

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Speaker 1: I mean, he could be talking about the economy and

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Speaker 1: making false claims about that, but you know, blame it

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Speaker 1: on COVID. He could be talking about Supreme Court nominee

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Speaker 1: who is popular with his bass and what they've done

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Speaker 1: with the courts. Yet he's going after you know, these

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Speaker 1: Rudy Giuliani created, you know, false plots that we now

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Speaker 1: have learned could well be tied to Russian intelligence because

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Speaker 1: Giuliani was wittingly, unwittingly meeting with Russian intelligence agents, people

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Speaker 1: who have been designated by the US government as such.

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Speaker 1: What the heck is she talking about. Let's really dig

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Speaker 1: into this for a moment, shall we. That is Andrea Mitchell, who,

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Speaker 1: for reasons unbeknownst to me, is considered a person that

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Speaker 1: other human beings should listen to on matters of politics

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Speaker 1: and news over at NBC and has for a long time.

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Speaker 1: I know, she's been in the game for a long time.

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Speaker 1: She's over at NBC and she's saying things that are

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Speaker 1: the mainstream Democrat talking points. Right now. She's saying there's

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Speaker 1: a Russian conspiracy theory. She's saying that Rudy Giuliani was

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Speaker 1: talking to Russian agents and all this. They're bringing back

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Speaker 1: the whole Russia thing. It's as Yogi Berra said, deja

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Speaker 1: vu all over again. Right, That's where we are. This

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Speaker 1: is twenty sixteen, Part two. Do you recall. I think

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Speaker 1: it was early in the summer I said they're going

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Speaker 1: to bring back Russia collusion. I wasn't sure how. I

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Speaker 1: thought maybe they'd just make the same allegations. But I

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Speaker 1: knew because people have been hardwired on the left to

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Speaker 1: think of Russia as this omnipresent menace that can go

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Speaker 1: after you everywhere and anywhere. In favor of Donald Trump,

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Speaker 1: it's always on Trump's behalf too. It's never just an

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Speaker 1: attack on the country. It's always like Trump is so

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Speaker 1: tight with Putin and all this other stuff that they've

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Speaker 1: been told. But she's saying the Hunter Biden scandal is

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Speaker 1: a false conspiracy theory. What is false about it? Really

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Speaker 1: spend a moment to think about this today. What exactly

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Speaker 1: has been said that's not true? No intelligent person believes

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Speaker 1: that the laptop is not Hunter Biden's the laptop that

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Speaker 1: has intimate photos of Hunter Biden on it, And that's

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Speaker 1: putting it gently. No one thinks that that's not real,

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Speaker 1: that it's some deep fake. No one said that. The

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Speaker 1: campaign hasn't claimed that that's the case. They've only said

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Speaker 1: that Joe Biden didn't have an official meeting on his

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Speaker 1: schedule with this Russian Look, here's what you have to

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Speaker 1: start with. Run this thought experiment. If there was a

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Speaker 1: video of Joe Biden laughing, and again, this is a

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Speaker 1: this is a thought experiment theoretical right, So I'm not

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Speaker 1: and I don't want media matters or whatever to clip

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Speaker 1: this and all the equip buck sextance saying on this

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Speaker 1: radio show. No, I'm just saying, think this through. If

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Speaker 1: there was a video of Russian intelligence agents sitting down

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Speaker 1: with or sorry a Ukrainian businessman, forget about Russian intelligence agents,

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Speaker 1: Ukrainian businessmen sitting down with Hunter and Joe Biden talking

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Speaker 1: about the payment structure for this Barisma scheme and how

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Speaker 1: they're gonna make sure that the investigators get pushed away

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Speaker 1: from this and all this other stuff. Right, But if

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Speaker 1: it was on tape, smoking gun and we already have

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Speaker 1: smoking gun emails, but let's say it's on video. Do

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Speaker 1: you think any of the people that we're calling this

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Speaker 1: a conspiracy yesterday or today would change their minds tomorrow.

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Speaker 1: Do you think that any Democrat with power and influence

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Speaker 1: in the media or in the Democrat Party is able

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Speaker 1: to be swayed no matter what the evidence is here

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Speaker 1: around Barisma and this corrupt scheme answers no. So when

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Speaker 1: you understand that, when you see how it doesn't matter,

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Speaker 1: then you can also understand very quickly why is it

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Speaker 1: that they just keep saying things that are so obviously untrue? Because, friends,

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Speaker 1: when it comes to defeating Trump, for Democrats, the truth

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Speaker 1: does not matter. It's irrelevant. They don't care. How else

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Speaker 1: could you explain what they're trying to do here? How

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Speaker 1: else could you explain the way that they're just pretending

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Speaker 1: these stories. At first it didn't exist, and they tried

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Speaker 1: to suppress it, and then they tried to call him

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Speaker 1: a non story, but turned out that the suppression effort

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Speaker 1: became that day an even bigger story than the Hunter

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Speaker 1: Biden story, and so then it probably spread even further

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Speaker 1: than it would have otherwise. And then they said, oh,

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Speaker 1: it's not really, it doesn't show anything. He didn't do

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Speaker 1: anything wrong. That was always Joe Biden's line. When he

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Speaker 1: was pressed about this months and months ago. Oh, he

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Speaker 1: didn't do anything wrong. That's what it would yell at reporters,

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Speaker 1: the occasional reporter who would ask about the Bresma situation.

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Speaker 1: And now beyond that, I mean, going even further, they're

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Speaker 1: saying that it's a Russian disinformation campaign. They have exactly

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Speaker 1: zero evidence of this, but with incredible precision, like a

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Speaker 1: Swiss watch, all of a sudden, this became what you

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Speaker 1: would hear from the biggest news outlets and the biggest,

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Speaker 1: you know, Democrat mouthpieces in the whole country. You have

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Speaker 1: Politico here you go, Hunter Biden's story is Russian disinfo.

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Speaker 1: Dozens of former Intel officials say, our intelligence community is

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Speaker 1: never going to recover its reputations, never going to recover

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Speaker 1: from what's happened in these Trump years. I mean, the

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Speaker 1: fact that you had Brannan and Clapper and all these

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Speaker 1: other deep stayed clowns doing the stuff that they did

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Speaker 1: to try and destroy Donald Trump is stunning, absolutely stunning.

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Speaker 1: I mean, they're supposed to be nonpartisan professionals who don't

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Speaker 1: get into the political fray, and what we saw was

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Speaker 1: they're actually willing to be weaponized and used their access

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Speaker 1: and the powers of their office in order to pull

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Speaker 1: that off, right. That's that's what we've learned about my

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Speaker 1: old my old institution, the CIA place I worked for

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Speaker 1: for years and made some great friends there and have

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Speaker 1: some very fond memories of the place. But it was

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Speaker 1: a mess then. But we did have a purpose. We

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Speaker 1: did want to prevent the towers from getting hit with

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Speaker 1: more towers from getting hit with planes, or you know,

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Speaker 1: public squares getting bombed, these kinds of mass casualty attacks.

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Speaker 1: We had a reason for showing up to work every

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Speaker 1: day that for at least a time, seemed to transcend politics.

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Speaker 1: And with their with the not entire disappearance, obviously, I

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Speaker 1: saw what just happened in France with this guy who

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Speaker 1: got beheaded for showing a cartoon of the prophet Muhammad.

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Speaker 1: That's still a thing that can get you beheaded in France, apparently.

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Speaker 1: But with the with the decline of Islamic well of jihadism,

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Speaker 1: Islamic radicalism around the world as an imminent threat to

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Speaker 1: the US, what we see is now the biggest threat

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Speaker 1: is supposed to be internal. It's almost like all these

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Speaker 1: lib movies and TV shows that I've seen where the

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Speaker 1: bad guys always end up being you know that the

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Speaker 1: real threat to the United States always comes from some

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Speaker 1: corporation or some right wing group that's trying to seize

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Speaker 1: power from within, from within the government. Right, but it's

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Speaker 1: always very very right wing. They believe this, I mean

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Speaker 1: they've come to believe this at a time when the

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Speaker 1: left can call upon the biggest, wealthiest companies, most influential

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Speaker 1: companies in the world. Right, remember Facebook, Google, and we'll

429
00:26:45,640 --> 00:26:49,639
Speaker 1: talk about the DOJ suit coming up here against them

430
00:26:49,640 --> 00:26:51,800
Speaker 1: to try to finally break break up at least Google,

431
00:26:52,000 --> 00:26:54,680
Speaker 1: which I think is absolutely should happen. There should be

432
00:26:54,760 --> 00:26:59,560
Speaker 1: more competition, more competition in church from more accountability and

433
00:26:59,640 --> 00:27:02,080
Speaker 1: anti for people say, oh buck, let the market speak. Well,

434
00:27:02,080 --> 00:27:03,320
Speaker 1: I don't want to get I don't want to get

435
00:27:03,320 --> 00:27:07,200
Speaker 1: ahead of myself. We'll get there. But the left has

436
00:27:07,280 --> 00:27:13,320
Speaker 1: a stranglehold on these massive institutions, more influential, powerful, wealthy

437
00:27:13,080 --> 00:27:16,360
Speaker 1: than any other corporations really in the world. How there's

438
00:27:16,400 --> 00:27:21,600
Speaker 1: Walmart will sell you stuff. Facebook and Google determine what

439
00:27:21,680 --> 00:27:29,080
Speaker 1: you see, what you buy, how you communicate, far more influential, right,

440
00:27:29,119 --> 00:27:31,680
Speaker 1: I mean, I know Walmart does a very good job

441
00:27:31,720 --> 00:27:35,080
Speaker 1: of delivering stuff or you know, putting stuff in the

442
00:27:35,119 --> 00:27:38,879
Speaker 1: stores for a cheap price. But what these social media

443
00:27:38,920 --> 00:27:42,439
Speaker 1: giants do. The left controls them. And yet they're always

444
00:27:42,440 --> 00:27:45,520
Speaker 1: worried about Trump as the fascist. This is a this

445
00:27:45,560 --> 00:27:47,520
Speaker 1: is a fabrication, and this is a figment of their

446
00:27:47,560 --> 00:27:51,480
Speaker 1: imagination that Donald Trump is on the cusp of some

447
00:27:51,600 --> 00:27:55,679
Speaker 1: kind of right wing overthrow of our government system. And

448
00:27:55,760 --> 00:27:59,280
Speaker 1: this is the kind of language that they use. Meanwhile,

449
00:27:59,320 --> 00:28:02,040
Speaker 1: on the other side, they actually try to overthrow a president.

450
00:28:02,280 --> 00:28:05,080
Speaker 1: They just try. They just used the weaponization of a

451
00:28:05,160 --> 00:28:08,760
Speaker 1: law in the intelligence community to achieve that. Unfortunately they

452
00:28:08,760 --> 00:28:12,640
Speaker 1: were unable to succeed. But that doesn't mean the next

453
00:28:12,680 --> 00:28:16,040
Speaker 1: time around they won't. And why should we believe they

454
00:28:16,040 --> 00:28:20,880
Speaker 1: won't try it again? Think about this. They got away

455
00:28:20,920 --> 00:28:24,720
Speaker 1: with it. They weren't entirely successful, but who's been held

456
00:28:24,720 --> 00:28:27,040
Speaker 1: to account? And I know it would look it would

457
00:28:27,040 --> 00:28:30,639
Speaker 1: have been more powerful, more clicks, more downloads. If I

458
00:28:30,760 --> 00:28:34,120
Speaker 1: tell everybody, oh, the dirt Durham's gonna get everybody, He's

459
00:28:34,160 --> 00:28:37,119
Speaker 1: gonna line them up and frog march him out. The

460
00:28:37,240 --> 00:28:40,120
Speaker 1: Durham probe. Couldn't tell you that because I knew it

461
00:28:40,160 --> 00:28:43,080
Speaker 1: wasn't gonna happen. Or at least that was my very

462
00:28:43,120 --> 00:28:45,280
Speaker 1: strong feeling that I felt obligated to share with you.

463
00:28:45,320 --> 00:28:48,200
Speaker 1: And sure enough, here we are two weeks from an election. Yeah,

464
00:28:48,280 --> 00:28:52,880
Speaker 1: the Durham probe not so much, not so much. But

465
00:28:53,000 --> 00:28:57,960
Speaker 1: these former intelligence officials, these former intelligence officials who were

466
00:28:58,000 --> 00:29:00,920
Speaker 1: coming out and saying the Hunter Biden stories, rush and disinformation,

467
00:29:01,880 --> 00:29:04,640
Speaker 1: you also have to remember they see something in this

468
00:29:04,760 --> 00:29:08,960
Speaker 1: for themselves. It's all about now it's changed so much

469
00:29:09,040 --> 00:29:14,280
Speaker 1: because of instantaneous and omnipresident digital media. It's about your profile.

470
00:29:15,040 --> 00:29:17,800
Speaker 1: You know, who gets the top jobs the next Biden administration.

471
00:29:18,360 --> 00:29:21,640
Speaker 1: The people who are the best known, have the best

472
00:29:21,640 --> 00:29:26,479
Speaker 1: connections and the most clout in many ways, honestly, the

473
00:29:26,520 --> 00:29:29,160
Speaker 1: most famous in their field or the most well you know,

474
00:29:29,200 --> 00:29:35,160
Speaker 1: well known in their area of practice. So for some

475
00:29:35,200 --> 00:29:37,239
Speaker 1: of these former intelligence people, if they want to be

476
00:29:37,280 --> 00:29:40,920
Speaker 1: the CIA director, deputy director, FBI director, you name it,

477
00:29:41,480 --> 00:29:44,120
Speaker 1: a great way to do it is by signing your

478
00:29:44,200 --> 00:29:47,680
Speaker 1: name to things like this. So you got these fifty

479
00:29:47,840 --> 00:29:51,959
Speaker 1: former intelligence officials sign this letter casting doubt on the

480
00:29:52,000 --> 00:29:55,520
Speaker 1: provenance of a New York Post story. Here's what it says.

481
00:29:56,240 --> 00:30:00,400
Speaker 1: Quote the emails allegedly belong to Joe Biden's on has

482
00:30:00,440 --> 00:30:04,520
Speaker 1: all the classic earmarks of a Russian information operation. The

483
00:30:04,640 --> 00:30:08,640
Speaker 1: letters signed on Monday centers around a batch of documents

484
00:30:08,640 --> 00:30:10,600
Speaker 1: released by The New York Post last week that purport

485
00:30:10,640 --> 00:30:13,640
Speaker 1: to tie the Democratic nomintee to his son, Hunter's business

486
00:30:13,640 --> 00:30:16,960
Speaker 1: dealings under the banner headline Biden's Secret Emails. The Post

487
00:30:17,000 --> 00:30:19,480
Speaker 1: reported it was given a copy of Hunter Biden's laptop

488
00:30:19,560 --> 00:30:23,240
Speaker 1: hard drive by President Donald Trump's personal lawyer, Rudy Giuliani,

489
00:30:23,560 --> 00:30:25,760
Speaker 1: who said he got it from a Mac shop owner

490
00:30:25,760 --> 00:30:31,360
Speaker 1: in Delaware, who also alerted the FBI. While the letters

491
00:30:31,360 --> 00:30:38,240
Speaker 1: signatories presented no new evidence, they said their national security

492
00:30:38,280 --> 00:30:41,880
Speaker 1: experience had made them deeply suspicious that the Russian government

493
00:30:41,880 --> 00:30:45,240
Speaker 1: played a significant role in this case, and cited several

494
00:30:45,240 --> 00:30:47,840
Speaker 1: elements of the story that suggested the Kremlin's hand at work.

495
00:30:50,280 --> 00:30:53,960
Speaker 1: Nick Shapiro, a former top aide under CI director John Brennan,

496
00:30:54,400 --> 00:30:57,479
Speaker 1: provided political with the letter on Monday. He noted that

497
00:30:57,480 --> 00:31:00,040
Speaker 1: the IC leaders who have signed this letter worked of

498
00:31:00,080 --> 00:31:02,960
Speaker 1: the passport presidents, including Trump. That means nothing. The real

499
00:31:02,960 --> 00:31:05,200
Speaker 1: power here, however, is a number of former working level

500
00:31:05,360 --> 00:31:12,280
Speaker 1: IC officers. Look friends, the CIA and the intellience community

501
00:31:12,280 --> 00:31:15,440
Speaker 1: are full of a bunch of libs. Elizabeth Warren was

502
00:31:15,720 --> 00:31:18,280
Speaker 1: a United States centator and was a professor Harvard Law School,

503
00:31:18,520 --> 00:31:22,880
Speaker 1: and she says the president's an existential threat to human life. Okay,

504
00:31:23,000 --> 00:31:26,400
Speaker 1: do you think that that mentality? She's an elite, you know,

505
00:31:26,600 --> 00:31:31,240
Speaker 1: Harvard professor, rich lady living in Massachusetts, and she says

506
00:31:31,280 --> 00:31:33,480
Speaker 1: stuff like that, and people clap for her. You don't

507
00:31:33,520 --> 00:31:35,760
Speaker 1: think that there are plenty of folks working in the

508
00:31:35,840 --> 00:31:39,600
Speaker 1: intelligence community, working in law enforcement who also feel that way.

509
00:31:40,400 --> 00:31:42,600
Speaker 1: And if you felt that way, if you really believe

510
00:31:42,640 --> 00:31:45,960
Speaker 1: the president was an existential threat to this nation, to

511
00:31:46,040 --> 00:31:50,000
Speaker 1: our institutions of governance, or to human life on planet Earth,

512
00:31:50,320 --> 00:31:53,720
Speaker 1: what would you not be willing to do? So we

513
00:31:53,840 --> 00:31:56,520
Speaker 1: know the crazy is there, We know the crazy is

514
00:31:56,600 --> 00:32:00,800
Speaker 1: widespread within the Democrat Party. So what else do we

515
00:32:00,840 --> 00:32:03,360
Speaker 1: have to do here for everyone to understand that that's

516
00:32:03,400 --> 00:32:08,120
Speaker 1: going to have consequences. They're signing a letter. This letter

517
00:32:08,160 --> 00:32:13,000
Speaker 1: is an embarrassment, an absolute embarrassment. They're just basically saying,

518
00:32:13,120 --> 00:32:17,520
Speaker 1: don't believe it, rely on our resumes and our perceived

519
00:32:17,800 --> 00:32:22,920
Speaker 1: credibility in the public's eye. Don't don't believe that this

520
00:32:23,000 --> 00:32:27,360
Speaker 1: is real because we say so, This is scary. I

521
00:32:27,440 --> 00:32:31,040
Speaker 1: mean really, the suppression campaign around the Hunter Biden emails

522
00:32:31,080 --> 00:32:33,920
Speaker 1: for me is still and on the make believe Russian.

523
00:32:34,440 --> 00:32:39,640
Speaker 1: The disinformation is calling this Russian disinformation. That's the great irony.

524
00:32:40,960 --> 00:32:43,760
Speaker 1: But whatever works. We're in this final stretch here for

525
00:32:43,760 --> 00:32:46,000
Speaker 1: the Democrats. Whatever they have to pull off, whatever they

526
00:32:46,040 --> 00:32:49,800
Speaker 1: have to say, they'll do it. They'll do it. And

527
00:32:49,840 --> 00:32:55,160
Speaker 1: that's what you're seeing play out right now. You're in

528
00:32:55,200 --> 00:32:58,800
Speaker 1: the U. This is the Buck Sex and Show podcast.

529
00:33:02,520 --> 00:33:05,200
Speaker 1: This is the Laptop from Hell. They say right in

530
00:33:05,280 --> 00:33:07,720
Speaker 1: the laptop that you know the big man has to

531
00:33:07,760 --> 00:33:10,440
Speaker 1: get ten percent, and then in another case they say

532
00:33:10,480 --> 00:33:13,680
Speaker 1: fifty percent. This is one hundred percent. This is and

533
00:33:13,960 --> 00:33:16,160
Speaker 1: even if he didn't get and he does get and

534
00:33:16,200 --> 00:33:19,200
Speaker 1: he lives like a king, even if he didn't get

535
00:33:19,240 --> 00:33:22,080
Speaker 1: all of this money, and everybody's known this in Washington

536
00:33:22,160 --> 00:33:25,560
Speaker 1: for a long time, this isn't surprising. Nobody's surprised by this.

537
00:33:26,000 --> 00:33:28,280
Speaker 1: But even if he didn't, you can't go to China

538
00:33:28,320 --> 00:33:30,040
Speaker 1: had the sudden walk out with one and a half

539
00:33:30,080 --> 00:33:32,880
Speaker 1: billion dollars to manage. You can't go to Ukraine and

540
00:33:32,920 --> 00:33:34,960
Speaker 1: have him get one hundred and eighty three thousand dollars

541
00:33:35,000 --> 00:33:37,760
Speaker 1: a month with a three million dollar up front payment.

542
00:33:38,200 --> 00:33:40,760
Speaker 1: You can't get three and a half million dollars from

543
00:33:40,800 --> 00:33:44,920
Speaker 1: the mayor of Moscow's wife. Three and a half million

544
00:33:45,000 --> 00:33:47,800
Speaker 1: dollars and you have no experience. You didn't have a

545
00:33:47,880 --> 00:33:51,840
Speaker 1: job until your father became vice president. It's a disgrace.

546
00:33:52,560 --> 00:33:55,880
Speaker 1: How is Joe Biden going to escape all this at

547
00:33:55,880 --> 00:33:59,240
Speaker 1: the upcoming presidential debate this Thursday? How is he going

548
00:33:59,320 --> 00:34:03,400
Speaker 1: to evade all of these questions and allegations. Clearly the

549
00:34:03,400 --> 00:34:07,760
Speaker 1: President's going to bring them up, and this could be it.

550
00:34:08,239 --> 00:34:11,400
Speaker 1: I just hope that Trump is able to stay focused

551
00:34:11,400 --> 00:34:15,600
Speaker 1: and stay on task, pick his punches and throw them

552
00:34:15,600 --> 00:34:18,440
Speaker 1: one by one, don't flail so to speak. Right, He

553
00:34:18,560 --> 00:34:21,840
Speaker 1: need to be precise when he goes after and Biden

554
00:34:21,880 --> 00:34:24,839
Speaker 1: on this stuff, because this also goes to a much

555
00:34:24,920 --> 00:34:28,960
Speaker 1: larger issue and beyond even just the corruption. Think about

556
00:34:28,960 --> 00:34:30,879
Speaker 1: how much you've been lectured for the last four years.

557
00:34:30,920 --> 00:34:35,479
Speaker 1: I mean, I'm getting angry, and I rarely get angry,

558
00:34:35,520 --> 00:34:38,759
Speaker 1: but I'm getting angry about what I'm seeing unfold here

559
00:34:38,760 --> 00:34:41,280
Speaker 1: with the media. Because the favorite thing that they always

560
00:34:41,320 --> 00:34:44,560
Speaker 1: say about Trump is he lies. He lies. That's all

561
00:34:44,600 --> 00:34:49,880
Speaker 1: they'll say. Right. I mean, I remember back in February

562
00:34:49,880 --> 00:34:51,520
Speaker 1: being on the Bill Mars Show, and it was just

563
00:34:51,600 --> 00:34:53,960
Speaker 1: impossible to get a word in edgewise or because it's

564
00:34:53,960 --> 00:34:56,680
Speaker 1: just what Trump lies. So he's a liar. So everything

565
00:34:56,680 --> 00:34:58,520
Speaker 1: he says doesn't matter because he's a liar. How do

566
00:34:58,520 --> 00:35:00,680
Speaker 1: you argue with that? What do you to somebody when

567
00:35:00,680 --> 00:35:03,120
Speaker 1: they say that? First of all, I think that's not true.

568
00:35:03,920 --> 00:35:05,759
Speaker 1: And we've discussed many times here on the show. The

569
00:35:05,800 --> 00:35:10,080
Speaker 1: president can be a little bit, a little bit grandiose,

570
00:35:10,200 --> 00:35:13,400
Speaker 1: a little bit of a salesman, but he's been upfront

571
00:35:13,440 --> 00:35:15,160
Speaker 1: about who he is and what he wants to do.

572
00:35:15,239 --> 00:35:19,279
Speaker 1: And that's the fundamental truth of his presidency, the one

573
00:35:19,280 --> 00:35:21,240
Speaker 1: that matters to all of us. Not you know, whether

574
00:35:21,280 --> 00:35:22,960
Speaker 1: he thinks he get the biggest crowd size at some

575
00:35:23,000 --> 00:35:27,240
Speaker 1: event or not. Who cares. But Joe Biden's a liar, friends,

576
00:35:28,160 --> 00:35:30,600
Speaker 1: And not only is he a liar, he has the

577
00:35:30,880 --> 00:35:37,759
Speaker 1: entire media complex acting as his as his conspirators, his

578
00:35:37,880 --> 00:35:41,480
Speaker 1: co conspirators in the lies. You know, it's one thing

579
00:35:41,520 --> 00:35:45,360
Speaker 1: to have a president who has the entirety of ninety

580
00:35:45,360 --> 00:35:49,359
Speaker 1: five percent of the media apparatus constantly opposed to him,

581
00:35:49,440 --> 00:35:52,480
Speaker 1: and they talk about the risk that he poses a fascism.

582
00:35:52,760 --> 00:35:55,719
Speaker 1: That's the media in a fascist country. You know what

583
00:35:55,719 --> 00:36:00,279
Speaker 1: the media does, the bidding of the fascist. What's more

584
00:36:00,320 --> 00:36:03,960
Speaker 1: likely you get a Joe Biden presidency and all of

585
00:36:03,960 --> 00:36:06,640
Speaker 1: a sudden there'll be an effort to completely suppress the

586
00:36:06,640 --> 00:36:10,279
Speaker 1: truth and support him no matter what he does, which

587
00:36:10,320 --> 00:36:12,040
Speaker 1: is the one that should scare people who believe in

588
00:36:12,040 --> 00:36:14,600
Speaker 1: the free exchange of ideas. More, we all know it's

589
00:36:14,640 --> 00:36:18,880
Speaker 1: not Trump. Thanks for listening to The Bus Sesson Show podcasts.

590
00:36:18,920 --> 00:36:22,719
Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app, or

591
00:36:22,719 --> 00:36:26,799
Speaker 1: wherever you get your podcasts. So, the very fact that

592
00:36:26,840 --> 00:36:31,560
Speaker 1: these emails come into the public sphere from Rudy Giuliani,

593
00:36:31,640 --> 00:36:35,160
Speaker 1: the fact that Andre Durkoch seems to know more about

594
00:36:35,200 --> 00:36:38,439
Speaker 1: these emails than almost anybody else, tells you where they're

595
00:36:38,480 --> 00:36:40,759
Speaker 1: coming from. I mean, at some point you sort of

596
00:36:40,760 --> 00:36:43,399
Speaker 1: have to believe what you see, which is that when

597
00:36:43,719 --> 00:36:47,920
Speaker 1: visuals who are either identified Russian agents or are conspiring

598
00:36:47,920 --> 00:36:51,800
Speaker 1: with Russian agents are providing the information upon which mainstream

599
00:36:51,880 --> 00:36:56,680
Speaker 1: media are reporting, you have to understand what the deal

600
00:36:56,840 --> 00:37:00,719
Speaker 1: is here. And again I'm not alone here. Fifty intelligence

601
00:37:00,840 --> 00:37:03,920
Speaker 1: high level intelligence agents people who have worked in the

602
00:37:03,960 --> 00:37:07,600
Speaker 1: intelligence agencies came out and said that this is mostly

603
00:37:07,920 --> 00:37:13,160
Speaker 1: from propaganda that means nothing. That means nothing. It's obvious

604
00:37:13,280 --> 00:37:16,279
Speaker 1: why they would take that position. There's a benefit for them,

605
00:37:17,160 --> 00:37:21,319
Speaker 1: right They both politically or invested in Joe Biden beating

606
00:37:21,360 --> 00:37:23,680
Speaker 1: Donald Trump, and some of them. I'm telling you want

607
00:37:23,680 --> 00:37:25,080
Speaker 1: to get back into the game at the top of

608
00:37:25,080 --> 00:37:28,600
Speaker 1: the intel community and be important and powerful again. And

609
00:37:28,719 --> 00:37:30,640
Speaker 1: one way to do that is by signing letters like this.

610
00:37:30,960 --> 00:37:34,160
Speaker 1: Who do you think the Biden transition team is going

611
00:37:34,200 --> 00:37:37,279
Speaker 1: to want to have running their CIA or their you know,

612
00:37:37,360 --> 00:37:40,279
Speaker 1: become their DNI if they managed to get to that

613
00:37:40,320 --> 00:37:43,360
Speaker 1: point by beating Donald Trump, people that will sign a

614
00:37:43,440 --> 00:37:46,480
Speaker 1: letter like this when it counts. Everyone knows this, everyone

615
00:37:46,520 --> 00:37:49,719
Speaker 1: can see it. But where is their evidence that this

616
00:37:49,800 --> 00:37:53,200
Speaker 1: is disinformation? It doesn't exist. But the evidence for Russia

617
00:37:53,200 --> 00:37:59,799
Speaker 1: collusion also did not exist. It was a fabrication, was

618
00:38:00,040 --> 00:38:03,960
Speaker 1: a falsehood from top to bottom. There was no collusion.

619
00:38:05,120 --> 00:38:08,120
Speaker 1: And yet now we're at a point where they're telling

620
00:38:08,200 --> 00:38:11,640
Speaker 1: us the exact opposite of what is true is true.

621
00:38:12,680 --> 00:38:15,000
Speaker 1: This is the ultimate gas lighting and that's what this

622
00:38:15,120 --> 00:38:18,680
Speaker 1: has turned into. If Joe Biden was a solid candidate.

623
00:38:18,680 --> 00:38:21,040
Speaker 1: If Joe Biden was inspiring and people really believe that

624
00:38:21,080 --> 00:38:24,799
Speaker 1: he'd do a great job, why would people need to

625
00:38:24,840 --> 00:38:28,200
Speaker 1: resort to this kind of stuff. Why would the attacks

626
00:38:28,239 --> 00:38:32,760
Speaker 1: on Trump to have to involve lies? Because now, remember

627
00:38:33,160 --> 00:38:37,439
Speaker 1: if it's Russian disinformation, now Trump is the liar, you see,

628
00:38:37,480 --> 00:38:41,359
Speaker 1: So it actually goes from defense to offense. Not only

629
00:38:41,480 --> 00:38:44,480
Speaker 1: is this thing not true, Trump is part of a

630
00:38:44,640 --> 00:38:49,439
Speaker 1: conspiracy against Hunter and Joe Biden with it. That's why

631
00:38:49,480 --> 00:38:51,799
Speaker 1: this is so useful. You can never disprove it. How

632
00:38:51,840 --> 00:38:55,680
Speaker 1: can you disprove it's Russian disinformation? Well, you know, prove

633
00:38:55,719 --> 00:38:57,919
Speaker 1: it isn't. That's the way they approach it, at least,

634
00:38:57,920 --> 00:39:00,239
Speaker 1: I mean, a normal rational person wouldn't say that, but

635
00:39:00,280 --> 00:39:03,759
Speaker 1: that's what they're doing. And beyond that, it's not just

636
00:39:03,920 --> 00:39:07,400
Speaker 1: oh one hundredn't do anything wrong. It's this is the

637
00:39:07,480 --> 00:39:12,080
Speaker 1: problem that we have now because of Donald Trump, you see.

638
00:39:12,120 --> 00:39:15,240
Speaker 1: So they turned defense to offense. The shield becomes the sword,

639
00:39:15,840 --> 00:39:18,040
Speaker 1: and that's that's all a part of this as well.

640
00:39:18,120 --> 00:39:20,680
Speaker 1: It last couple of weeks here, friends, is it is

641
00:39:20,719 --> 00:39:24,480
Speaker 1: game time? You know, it's game time, So I don't know,

642
00:39:24,520 --> 00:39:26,279
Speaker 1: you know, it's kind of an intense show today, and

643
00:39:26,360 --> 00:39:28,720
Speaker 1: I'm just because I'm feeling like we're in the fight,

644
00:39:29,640 --> 00:39:31,200
Speaker 1: and I'm not gonna lie to you. I think Trump's

645
00:39:31,200 --> 00:39:33,279
Speaker 1: gonna win, but it's gonna be close, it's gonna be ugly,

646
00:39:33,320 --> 00:39:35,840
Speaker 1: and it's not gonna be over on November third. In

647
00:39:35,880 --> 00:39:38,719
Speaker 1: my mind, maybe it will. I love it when I

648
00:39:38,719 --> 00:39:41,080
Speaker 1: make predictions and I hope they're wrong, and they are wrong,

649
00:39:41,200 --> 00:39:45,799
Speaker 1: but not always. That tends not to be really the

650
00:39:45,840 --> 00:39:48,680
Speaker 1: only thing I can think of in recent memory. Well

651
00:39:48,960 --> 00:39:51,920
Speaker 1: ACB hearings didn't get as crazy as I thought they would,

652
00:39:52,440 --> 00:39:56,000
Speaker 1: the efforts to stop that, and Trump's election in twenty sixteen.

653
00:39:56,040 --> 00:39:58,279
Speaker 1: But other than that, on the big ones, I tend

654
00:39:58,280 --> 00:40:00,640
Speaker 1: to get it right. But I'm trying to avoid getting

655
00:40:00,680 --> 00:40:05,040
Speaker 1: into the the Jeffrey Tubin story. I don't think this

656
00:40:05,120 --> 00:40:08,640
Speaker 1: is a this is just it's prurientto the right word,

657
00:40:08,800 --> 00:40:12,920
Speaker 1: or you know, this is salacious. I don't know. You

658
00:40:12,960 --> 00:40:16,120
Speaker 1: know this looks it's Tubin's a Tuban's a jerk. And

659
00:40:16,200 --> 00:40:18,359
Speaker 1: so people see a guy like this who's a hack

660
00:40:18,440 --> 00:40:21,080
Speaker 1: and who's nasty to people and has a really, you know,

661
00:40:21,200 --> 00:40:25,240
Speaker 1: really bad history of behavior that makes him an odious fellow,

662
00:40:25,680 --> 00:40:28,480
Speaker 1: and he does something that is this level of embarrassing.

663
00:40:28,800 --> 00:40:30,359
Speaker 1: I can't even really describe it on radio. I mean,

664
00:40:30,400 --> 00:40:36,400
Speaker 1: he's special. Fun fun time. Is that how I described it?

665
00:40:37,440 --> 00:40:43,280
Speaker 1: You describe something else like that? I felt it applied here. Okay,

666
00:40:43,440 --> 00:40:50,120
Speaker 1: fun fun time. Yeah, So Jeffrey Tubin was having some

667
00:40:50,120 --> 00:40:54,239
Speaker 1: some self fun fun time on a zoom call, which,

668
00:40:54,239 --> 00:40:58,480
Speaker 1: as you know, includes video with some esteemed colleagues of

669
00:40:58,480 --> 00:41:03,480
Speaker 1: The New Yorker, which is probably the snootiest left wing

670
00:41:04,440 --> 00:41:08,360
Speaker 1: publication or you know, liberal publication out there. It's the snootiest,

671
00:41:09,280 --> 00:41:11,560
Speaker 1: right the most. Oh, I subscribe to the New Yorker.

672
00:41:11,800 --> 00:41:14,200
Speaker 1: Listen to me. I'm so fantasy. I believe in the

673
00:41:14,200 --> 00:41:16,879
Speaker 1: New Yorker. I mean, yeah, some of the cartoons are clever,

674
00:41:16,920 --> 00:41:20,160
Speaker 1: but other than that. And yeah, it's not from a

675
00:41:20,239 --> 00:41:22,359
Speaker 1: big story. You know. Initially it came out and they

676
00:41:22,440 --> 00:41:25,359
Speaker 1: said that there was so I guess we are good.

677
00:41:25,440 --> 00:41:27,000
Speaker 1: You know, we needed we need a break from all

678
00:41:27,040 --> 00:41:30,600
Speaker 1: those guy's falling in Trump and all this stuff. So

679
00:41:30,719 --> 00:41:33,000
Speaker 1: initially this story came out and it said that he

680
00:41:33,040 --> 00:41:37,440
Speaker 1: exposed himself accidentally on a zoom call. And now to this,

681
00:41:37,480 --> 00:41:38,960
Speaker 1: because we're a lot of us are working from home.

682
00:41:39,000 --> 00:41:41,000
Speaker 1: I work from home other people. I thought, all right, look,

683
00:41:41,760 --> 00:41:44,320
Speaker 1: you know everything's got a camera on it these days,

684
00:41:44,440 --> 00:41:47,319
Speaker 1: we're all super connected all the time. You know, if

685
00:41:47,320 --> 00:41:49,799
Speaker 1: he left a laptop open, thought he closed out a

686
00:41:49,800 --> 00:41:52,680
Speaker 1: window and was on the other side of his apartment.

687
00:41:52,760 --> 00:41:54,319
Speaker 1: I think he lives in New York where, you know,

688
00:41:54,600 --> 00:41:56,560
Speaker 1: space is small, even if you're rich, you don't have

689
00:41:56,640 --> 00:42:00,040
Speaker 1: very big space. If you're not rich, like me, a

690
00:42:00,320 --> 00:42:03,640
Speaker 1: very small space. But you know you can see. Okay,

691
00:42:03,680 --> 00:42:08,120
Speaker 1: look this can happen. It's embarrassing. But then they suspended him.

692
00:42:08,120 --> 00:42:11,480
Speaker 1: I thought, whoa, whoa. I mean, come on, it's an accident, right,

693
00:42:11,520 --> 00:42:16,000
Speaker 1: I mean, this is like, you know, come on, And

694
00:42:16,040 --> 00:42:18,560
Speaker 1: I thought, no, this is more than that. It wasn't.

695
00:42:18,560 --> 00:42:22,120
Speaker 1: He was changing on the other side of the bedroom

696
00:42:22,200 --> 00:42:24,160
Speaker 1: or something and left the zoom call open, and someone

697
00:42:24,200 --> 00:42:26,080
Speaker 1: got a quick flash of say I'd say, look, come on,

698
00:42:26,080 --> 00:42:28,600
Speaker 1: we're ad at all. I mean, it wasn't intentional, you know,

699
00:42:28,680 --> 00:42:31,200
Speaker 1: he says, sorry, you let that go. This is a

700
00:42:31,200 --> 00:42:33,960
Speaker 1: little worse because he was on a zoom call on

701
00:42:34,000 --> 00:42:36,520
Speaker 1: apparently on another zoom call at the same time, and

702
00:42:36,560 --> 00:42:41,560
Speaker 1: the other zoom call was clearly more interesting because he

703
00:42:41,719 --> 00:42:46,160
Speaker 1: decided to engage in self fun fun time on the video.

704
00:42:47,360 --> 00:42:49,319
Speaker 1: So this is gonna be a tough that's a tough

705
00:42:49,400 --> 00:42:53,000
Speaker 1: one to live down. Although I'm sure CNN is gonna

706
00:42:53,040 --> 00:42:54,880
Speaker 1: bring it. He'll be back, He'll be fine. He's already

707
00:42:54,880 --> 00:42:58,319
Speaker 1: a very wealthy guy, so he'll be all right, right,

708
00:42:58,360 --> 00:43:01,719
Speaker 1: And that's the thing. But I guess I don't even

709
00:43:01,719 --> 00:43:03,800
Speaker 1: know what the what the well, there are a few

710
00:43:04,480 --> 00:43:07,680
Speaker 1: lessons learned from this one, but I think one of

711
00:43:07,680 --> 00:43:10,239
Speaker 1: them is, you know, you never want to be that

712
00:43:10,280 --> 00:43:14,840
Speaker 1: guy who people think is so nasty and so vicious,

713
00:43:14,920 --> 00:43:17,240
Speaker 1: such a jerk in the media or in any business,

714
00:43:17,760 --> 00:43:21,399
Speaker 1: that when something like this happens to you, there's very

715
00:43:21,440 --> 00:43:24,799
Speaker 1: few people that are willing to show any sympathy, very

716
00:43:24,800 --> 00:43:27,080
Speaker 1: few people that are willing to say now, And I'm

717
00:43:27,080 --> 00:43:29,680
Speaker 1: talking about the initial allegation, which is different from what

718
00:43:29,760 --> 00:43:32,759
Speaker 1: it turned out to be. So maybe maybe that's a

719
00:43:32,840 --> 00:43:35,400
Speaker 1: lesson from it. And the other one is all mics

720
00:43:35,400 --> 00:43:39,439
Speaker 1: are on and all video cameras are are recording, and

721
00:43:39,560 --> 00:43:41,879
Speaker 1: you just you know, you don't know, you don't know.

722
00:43:42,400 --> 00:43:45,480
Speaker 1: But that story, I think everyone also focused it on

723
00:43:45,520 --> 00:43:49,200
Speaker 1: that because they just wanted something that wasn't The sky

724
00:43:49,320 --> 00:43:52,320
Speaker 1: is falling in Russia and all this really intense election stuff.

725
00:43:52,480 --> 00:43:55,360
Speaker 1: I think there was just a psychological need for a

726
00:43:55,440 --> 00:43:58,359
Speaker 1: story that was something else in the at the top

727
00:43:58,400 --> 00:44:01,320
Speaker 1: of the news ticker for a few for a few hours.

728
00:44:01,320 --> 00:44:04,920
Speaker 1: So that one broke yesterday. And now producer Mark has

729
00:44:04,920 --> 00:44:07,520
Speaker 1: reminded me that we can always use the euphemism fun

730
00:44:07,560 --> 00:44:10,399
Speaker 1: fun time because we can say that on radio, right Mark,

731
00:44:10,400 --> 00:44:12,640
Speaker 1: there's no FCC issue there, So there we go. Yeah,

732
00:44:12,719 --> 00:44:14,920
Speaker 1: that's the perfect way to describe it on radio. I

733
00:44:15,000 --> 00:44:18,480
Speaker 1: think that's right, you know, And you know, just for

734
00:44:18,480 --> 00:44:21,240
Speaker 1: everybody out there, if you're gonna have fun fun time,

735
00:44:21,520 --> 00:44:25,799
Speaker 1: make sure you've closed your high level work call zoom.

736
00:44:25,920 --> 00:44:29,759
Speaker 1: That's important, you know, important safety tip for all involved.

737
00:44:30,320 --> 00:44:32,439
Speaker 1: And I will say it's a level there's a level

738
00:44:32,440 --> 00:44:35,719
Speaker 1: of embarrassment that even when somebody is pretty is a

739
00:44:35,760 --> 00:44:39,960
Speaker 1: pretty honestly pretty awful person, there's a level of embarrassment

740
00:44:40,000 --> 00:44:43,360
Speaker 1: where you see it you really just go oh man.

741
00:44:44,280 --> 00:44:47,160
Speaker 1: And I think this reaches that one. This reaches that one.

742
00:44:47,280 --> 00:44:50,360
Speaker 1: So I guess we'll just take the lessons learned and

743
00:44:50,400 --> 00:44:55,040
Speaker 1: now we can go back to the Russian disinformation. You're

744
00:44:55,080 --> 00:45:00,600
Speaker 1: in the freedom. This is the Buck Sex and Show Podcast.

745
00:45:02,600 --> 00:45:04,880
Speaker 1: You know, we just stand for the principle the American

746
00:45:04,920 --> 00:45:07,120
Speaker 1: people have a right to know what's going on here.

747
00:45:07,200 --> 00:45:10,239
Speaker 1: The Director of National Intelligence today, I know, made it

748
00:45:10,280 --> 00:45:13,839
Speaker 1: clear that there is no evidence to suggest that the

749
00:45:13,880 --> 00:45:17,560
Speaker 1: information on that computer reported in the New York Post

750
00:45:17,719 --> 00:45:22,320
Speaker 1: is a result of any disinformation campaign, and the American

751
00:45:22,400 --> 00:45:26,360
Speaker 1: people have a right to know about the business dealings

752
00:45:26,400 --> 00:45:29,239
Speaker 1: of the Biden family. I mean, I mean, lou, we

753
00:45:29,320 --> 00:45:32,760
Speaker 1: just spent the last three and a half years where

754
00:45:33,480 --> 00:45:38,239
Speaker 1: the Democrat nominee in twenty sixteen had worked with a

755
00:45:38,320 --> 00:45:41,600
Speaker 1: foreign entity to try and dig up dirt on President Trump,

756
00:45:41,600 --> 00:45:45,600
Speaker 1: and I don't remember the media shutting off access to

757
00:45:45,680 --> 00:45:49,080
Speaker 1: that information. And yet they have shut off this information

758
00:45:49,160 --> 00:45:51,880
Speaker 1: as much as they can, although it doesn't seem like

759
00:45:51,880 --> 00:45:54,279
Speaker 1: it's going to work to prevent people from being able

760
00:45:54,280 --> 00:45:58,319
Speaker 1: to at least access it, whether they believe it or not.

761
00:45:58,360 --> 00:46:01,880
Speaker 1: That's another part of this too. There's the suppression that

762
00:46:01,960 --> 00:46:09,400
Speaker 1: comes from preventing distribution, and then there's also the suppression

763
00:46:09,440 --> 00:46:12,160
Speaker 1: that comes from forcing people or bringing people to doubt

764
00:46:12,200 --> 00:46:16,440
Speaker 1: the veracity of something. So it's one thing if the

765
00:46:16,480 --> 00:46:19,160
Speaker 1: email never gets into your inbox, let's say, so to speak,

766
00:46:20,400 --> 00:46:23,520
Speaker 1: that's you can block information that way. It's another thing

767
00:46:23,560 --> 00:46:26,160
Speaker 1: if you've already been trained to believe the email after

768
00:46:26,239 --> 00:46:28,960
Speaker 1: comes in is fake, it's not true what it's saying is.

769
00:46:29,160 --> 00:46:31,000
Speaker 1: So that's another part of what the media has been

770
00:46:31,040 --> 00:46:35,920
Speaker 1: doing here. What Penn says is obviously true. Pence's claimed

771
00:46:35,920 --> 00:46:37,440
Speaker 1: here the American people have a right to know. I

772
00:46:37,440 --> 00:46:42,719
Speaker 1: don't think anybody could make a serious case to dispute that.

773
00:46:44,120 --> 00:46:48,480
Speaker 1: And so since that's true, since that's the situation, what

774
00:46:48,680 --> 00:46:50,680
Speaker 1: is the hold up? Then with the media, they're just

775
00:46:50,760 --> 00:46:55,160
Speaker 1: throwing up these smoke screens. And for a media apparatus

776
00:46:55,200 --> 00:46:59,640
Speaker 1: that has been completely fascinated with getting Donald Trump's tax

777
00:46:59,680 --> 00:47:02,520
Speaker 1: return as if that was going to be some smoking

778
00:47:02,640 --> 00:47:06,040
Speaker 1: gun and bring down his presidency. That was a huge story.

779
00:47:06,120 --> 00:47:07,520
Speaker 1: It was a huge story. Before they even had the

780
00:47:07,560 --> 00:47:10,080
Speaker 1: tax returns, they just would make stuff up about what

781
00:47:10,120 --> 00:47:12,799
Speaker 1: they thought might be in them and then report on

782
00:47:12,840 --> 00:47:19,799
Speaker 1: what their guesses were. Then you have this where all

783
00:47:19,840 --> 00:47:22,240
Speaker 1: of a sudden that this huge scoop, this big story,

784
00:47:23,440 --> 00:47:26,960
Speaker 1: is not touched by the mainstream meat outlets at first,

785
00:47:26,960 --> 00:47:29,480
Speaker 1: and then all they try to do is kill the

786
00:47:29,520 --> 00:47:32,240
Speaker 1: story after the fact. I mean, the New York Times

787
00:47:32,280 --> 00:47:35,120
Speaker 1: printed something earlier this week saying that there was a

788
00:47:35,760 --> 00:47:38,160
Speaker 1: staffer on the New York Post who worked for the

789
00:47:38,160 --> 00:47:40,319
Speaker 1: New York Post who was uncomfortable with going forward with

790
00:47:40,320 --> 00:47:42,839
Speaker 1: the story. Okay, there are a lot of close calls

791
00:47:42,840 --> 00:47:46,840
Speaker 1: that get made in newsroom sometimes. Who cares, what's the

792
00:47:46,840 --> 00:47:48,799
Speaker 1: New York Times doing? Well, we all know what they're doing,

793
00:47:48,840 --> 00:47:50,600
Speaker 1: carrying water for the Democrats. I mean to the point

794
00:47:50,640 --> 00:47:53,040
Speaker 1: where at least I think they're getting a good workout.

795
00:47:53,040 --> 00:47:56,760
Speaker 1: They're probably building up those lats and traps and carrying

796
00:47:56,800 --> 00:48:00,240
Speaker 1: all that water for Joe Biden and Kamala Harris, isking

797
00:48:00,239 --> 00:48:05,600
Speaker 1: the media physically stronger in theory. And then you also

798
00:48:05,719 --> 00:48:08,640
Speaker 1: have what the VP is inting at here, and the

799
00:48:08,719 --> 00:48:14,080
Speaker 1: DOJ came down with the today the anti trust actions

800
00:48:14,120 --> 00:48:16,680
Speaker 1: that are coming up. We've got this one against Google.

801
00:48:16,680 --> 00:48:19,560
Speaker 1: But first, here's the Vice president on the role of

802
00:48:19,560 --> 00:48:22,560
Speaker 1: big tech in all this play fourteen. And let me

803
00:48:22,600 --> 00:48:26,080
Speaker 1: be real clear, President Donald Trump and I are not

804
00:48:26,400 --> 00:48:31,959
Speaker 1: gonna let big tech block the truth. We're not gonna

805
00:48:32,040 --> 00:48:36,200
Speaker 1: let big tech censor what Americans read or see or

806
00:48:36,320 --> 00:48:41,120
Speaker 1: say in this election or ever. That's great, if it's true.

807
00:48:42,320 --> 00:48:48,160
Speaker 1: I hope they can make it true. And then we

808
00:48:48,280 --> 00:48:56,720
Speaker 1: also have this from the DOJ today, DOJ saying that

809
00:48:56,800 --> 00:49:00,640
Speaker 1: they're bringing an anti trust, a full on antitrust lawsuit

810
00:49:01,200 --> 00:49:05,960
Speaker 1: against Google. Now, this is gonna get antitrust and monopolies,

811
00:49:06,040 --> 00:49:08,440
Speaker 1: and this is an area where people know the terms,

812
00:49:08,480 --> 00:49:12,000
Speaker 1: but it's it gets down deep in the weeds very quickly.

813
00:49:13,239 --> 00:49:17,280
Speaker 1: But this is the biggest challenge from the government against

814
00:49:17,320 --> 00:49:20,080
Speaker 1: a tech company to come up in many, many years.

815
00:49:20,080 --> 00:49:21,799
Speaker 1: I mean, this goes you'd have to go back to

816
00:49:21,840 --> 00:49:25,160
Speaker 1: probably what Microsoft in the in the late nineties and

817
00:49:25,239 --> 00:49:27,200
Speaker 1: early two thousands for anything to be similar to this.

818
00:49:27,239 --> 00:49:30,160
Speaker 1: I mean, this is it's been a long time since

819
00:49:30,160 --> 00:49:32,480
Speaker 1: you've had something like this, and it's massive. I mean

820
00:49:32,520 --> 00:49:39,279
Speaker 1: Google is effectively a trillion a trillion dollar company and

821
00:49:39,400 --> 00:49:42,759
Speaker 1: it takes in about one hundred and sixty billion dollars

822
00:49:42,760 --> 00:49:47,239
Speaker 1: of revenue every year. The way Google makes most of

823
00:49:47,239 --> 00:49:52,479
Speaker 1: its money is through advertising, but there's also this other

824
00:49:52,560 --> 00:49:54,279
Speaker 1: way that it's and this is what comes up in

825
00:49:54,320 --> 00:49:57,400
Speaker 1: the suit that the DOJ has filed. And Bill Barr

826
00:49:57,920 --> 00:49:59,799
Speaker 1: said that they were gonna they were gonna take big

827
00:49:59,800 --> 00:50:01,560
Speaker 1: T to task on this stuff. They were not going

828
00:50:01,600 --> 00:50:05,520
Speaker 1: to allow this to just continue. But what you see

829
00:50:05,600 --> 00:50:10,040
Speaker 1: here is the area of vulnerability that they're going after

830
00:50:10,120 --> 00:50:14,200
Speaker 1: so far, is big tech thinking, or in this case,

831
00:50:14,239 --> 00:50:17,080
Speaker 1: Google thinking that it's allowed to make all this money

832
00:50:17,080 --> 00:50:21,000
Speaker 1: off of advertising, but then cut these deals with all

833
00:50:21,040 --> 00:50:27,920
Speaker 1: the smartphone makers that the default Internet browser is the

834
00:50:27,960 --> 00:50:30,840
Speaker 1: default Internet browser for all your smartphones is going to

835
00:50:30,880 --> 00:50:33,640
Speaker 1: be Google. So you open your phone, Google's already installed.

836
00:50:33,680 --> 00:50:36,360
Speaker 1: That's what you're using. You do a search on your phone,

837
00:50:36,360 --> 00:50:41,000
Speaker 1: it's using Google. There is Being, and there's Yahoo, and

838
00:50:41,040 --> 00:50:44,799
Speaker 1: there's there. Used to be asked, Jeeves, I think that

839
00:50:44,800 --> 00:50:47,080
Speaker 1: one went away? Am I forgetting? Is there another one

840
00:50:47,080 --> 00:50:49,600
Speaker 1: that anyone really uses these days? Producer Mark? I don't know.

841
00:50:49,680 --> 00:50:52,720
Speaker 1: I don't think so. I'm pretty sure there's not really,

842
00:50:53,360 --> 00:50:56,120
Speaker 1: and it's certainly no near competitors. I mean, Google has

843
00:50:57,600 --> 00:51:01,680
Speaker 1: eighty to ninety percent of the overall search engine market,

844
00:51:01,840 --> 00:51:06,279
Speaker 1: which means that its ability to determine what companies are

845
00:51:06,320 --> 00:51:10,960
Speaker 1: successful and what ideas are promoted and presented. And Google

846
00:51:11,120 --> 00:51:15,680
Speaker 1: is a fantastically powerful company, and now they're going to

847
00:51:15,719 --> 00:51:17,600
Speaker 1: be held to the same standard as other companies when

848
00:51:17,600 --> 00:51:20,480
Speaker 1: it comes to anti competitive practices. I think in a

849
00:51:20,560 --> 00:51:22,719
Speaker 1: stock actually jumped up a little bit on the news

850
00:51:22,719 --> 00:51:26,760
Speaker 1: of this. Which is interesting because the breakup value might enhanced.

851
00:51:26,880 --> 00:51:29,000
Speaker 1: I don't know. I don't really even understand how that works,

852
00:51:29,000 --> 00:51:31,440
Speaker 1: to be honest with you, But I mean, I have

853
00:51:31,480 --> 00:51:33,080
Speaker 1: the basics of it, but I don't know why people

854
00:51:33,080 --> 00:51:37,000
Speaker 1: would necessarily assume that. And now we're going to get

855
00:51:37,040 --> 00:51:41,160
Speaker 1: into a real fight between a company that has effectively

856
00:51:41,239 --> 00:51:44,600
Speaker 1: endless resources and the federal government, which also has effectively

857
00:51:45,000 --> 00:51:48,200
Speaker 1: endless resources, because you know where the federal government gets

858
00:51:48,239 --> 00:51:52,360
Speaker 1: its checkbook from you, and it'll keep writing those checks.

859
00:51:52,360 --> 00:51:59,440
Speaker 1: Got no problem with that at all. So look, I

860
00:51:59,480 --> 00:52:01,960
Speaker 1: think this is the right move. I think that we

861
00:52:02,000 --> 00:52:04,799
Speaker 1: do have to regulate big tech. And I wish that

862
00:52:04,920 --> 00:52:06,920
Speaker 1: I could say that this was, oh, let the free,

863
00:52:07,040 --> 00:52:09,640
Speaker 1: let the market speak, let the free, but it's not

864
00:52:09,680 --> 00:52:12,120
Speaker 1: a free market. It's not. There are a lot of

865
00:52:12,160 --> 00:52:15,040
Speaker 1: government regulations that are already in place that affect companies,

866
00:52:15,040 --> 00:52:17,880
Speaker 1: that affect the way that you'd be able to compete

867
00:52:17,920 --> 00:52:22,200
Speaker 1: with some of these monopolies. And remember, monopolies are really

868
00:52:22,200 --> 00:52:25,279
Speaker 1: only possible if you go back and look at sort

869
00:52:25,320 --> 00:52:30,680
Speaker 1: of the Austrian school and the Milton Friedman take on this,

870
00:52:30,800 --> 00:52:35,040
Speaker 1: monopolies are only possible with government collusion. So this is

871
00:52:35,080 --> 00:52:37,080
Speaker 1: a problem that government has had a hand in, and

872
00:52:37,160 --> 00:52:39,600
Speaker 1: now the government is going to try to do something

873
00:52:39,600 --> 00:52:41,480
Speaker 1: to fix it. And I agree when government tries to

874
00:52:41,520 --> 00:52:45,279
Speaker 1: fix things it often makes it worse. But if we

875
00:52:45,400 --> 00:52:49,200
Speaker 1: keep losing the big tech meaning politically, Now they're trying

876
00:52:49,239 --> 00:52:51,120
Speaker 1: to separate this. They're trying to say that, oh, this

877
00:52:51,200 --> 00:52:56,200
Speaker 1: has nothing to do with suppression of conservatives. Well it doesn't.

878
00:52:56,200 --> 00:52:59,800
Speaker 1: It doesn't. It's a different issue, but it has shown people.

879
00:53:00,120 --> 00:53:03,040
Speaker 1: I think there's a greater willingness now to take on

880
00:53:03,200 --> 00:53:07,000
Speaker 1: the antitrust aspects of a case like this against Google,

881
00:53:07,400 --> 00:53:12,359
Speaker 1: because we realize that these companies are pushing ideas and

882
00:53:12,480 --> 00:53:16,239
Speaker 1: they are friends to those certain people in power, and

883
00:53:16,320 --> 00:53:18,240
Speaker 1: that's something that has to be looked at more closely.

884
00:53:18,560 --> 00:53:22,040
Speaker 1: They've gotten this free pass. Remember Google's old mantra was

885
00:53:22,080 --> 00:53:25,080
Speaker 1: don't be evil. It's quite a strange thing. I know

886
00:53:25,160 --> 00:53:27,760
Speaker 1: Google is now part of Alphabet, that's the primary holding

887
00:53:27,960 --> 00:53:29,920
Speaker 1: you know, the holding company that Google's a part of.

888
00:53:31,200 --> 00:53:33,280
Speaker 1: But don't be evil is not something that you would

889
00:53:33,280 --> 00:53:36,400
Speaker 1: think a neutral Internet platform. It just wants to be

890
00:53:36,840 --> 00:53:40,279
Speaker 1: helpful and give people great free products, and it means

891
00:53:40,280 --> 00:53:43,759
Speaker 1: of communication. They wouldn't have to tell people that, but

892
00:53:43,800 --> 00:53:46,080
Speaker 1: there's there's some other things that are going on behind

893
00:53:46,080 --> 00:53:49,279
Speaker 1: the scenes here. It's a very left wing, very left

894
00:53:49,280 --> 00:53:52,600
Speaker 1: wing company, very left wing institution, and now it's going

895
00:53:52,640 --> 00:53:54,680
Speaker 1: to have to answer for some of what it's doing.

896
00:53:54,719 --> 00:53:58,280
Speaker 1: Because wouldn't it be nice if there were search engines

897
00:53:58,320 --> 00:54:02,680
Speaker 1: that we're really competitive with and weren't so dominant in

898
00:54:02,680 --> 00:54:06,200
Speaker 1: the marketplace? Who is then? When Google is doing you know,

899
00:54:07,800 --> 00:54:10,960
Speaker 1: the main site is a BLM, he's basically a BLM

900
00:54:11,040 --> 00:54:13,919
Speaker 1: poster or is all about I don't know, some other

901
00:54:14,640 --> 00:54:17,319
Speaker 1: political issue. He'd say, Okay, look, I don't really like this.

902
00:54:17,480 --> 00:54:19,840
Speaker 1: I don't like this company stands for I'm going to

903
00:54:20,960 --> 00:54:24,520
Speaker 1: go with you know, Yahoo's version of this or something

904
00:54:24,600 --> 00:54:27,439
Speaker 1: like that. So we shall see how this plays out.

905
00:54:27,520 --> 00:54:29,560
Speaker 1: But don't hold your breath because it's gonna take a

906
00:54:29,600 --> 00:54:32,319
Speaker 1: long time and Google's gonna fight like mad and they've

907
00:54:32,360 --> 00:54:35,360
Speaker 1: got the resources to do it. Thanks for listening to

908
00:54:35,400 --> 00:54:41,000
Speaker 1: the Remember to subscribe on Apple podcasts, the iHeartRadio app,

909
00:54:41,200 --> 00:54:46,000
Speaker 1: or wherever you get your podcasts. As promised, our friend

910
00:54:46,200 --> 00:54:50,080
Speaker 1: Sean Parnell joins us now. He is a former Army ranger,

911
00:54:50,239 --> 00:54:55,160
Speaker 1: decorated combat veteran, author, best selling author and currently running

912
00:54:55,400 --> 00:55:01,040
Speaker 1: in an absolutely critical race in Pennsylvania for a House seventeen.

913
00:55:01,640 --> 00:55:04,040
Speaker 1: Sean Parnell joins us. Now, Sean, my man, great to

914
00:55:04,080 --> 00:55:07,839
Speaker 1: have you, Hey, great to be here. Buck. How's it going?

915
00:55:08,040 --> 00:55:10,279
Speaker 1: Oh man, it's it's crazy for me, but I feel

916
00:55:10,280 --> 00:55:12,359
Speaker 1: like it's probably even crazier for you. Right now, two

917
00:55:12,360 --> 00:55:15,200
Speaker 1: weeks out from from the big day. I want to

918
00:55:15,200 --> 00:55:17,719
Speaker 1: get into what you're seeing nationally and also specifically in

919
00:55:17,719 --> 00:55:21,960
Speaker 1: your congressional race out in western Pennsylvania. But first we

920
00:55:22,040 --> 00:55:24,879
Speaker 1: have this Supreme Court decision four four. It came down

921
00:55:24,920 --> 00:55:27,120
Speaker 1: so tie, which means that it reverts to the lower

922
00:55:27,160 --> 00:55:31,520
Speaker 1: court decision in Pennsylvania, which said that well, i've actually Sean,

923
00:55:31,600 --> 00:55:33,399
Speaker 1: let's have you're you're in that state. So it's really

924
00:55:33,440 --> 00:55:36,200
Speaker 1: gonna matter folks like you, what just happened here. What

925
00:55:36,200 --> 00:55:39,640
Speaker 1: do the Supreme Court decide to do? Well, they allowed

926
00:55:39,719 --> 00:55:44,480
Speaker 1: for a ballot extension, Buck. The Supreme Court effectively moved

927
00:55:44,520 --> 00:55:48,040
Speaker 1: the election day from November third and November sixth, and

928
00:55:48,160 --> 00:55:53,960
Speaker 1: so what's really disconcerting about this is that ballots can

929
00:55:54,000 --> 00:55:57,279
Speaker 1: be returned up to three days after election day and

930
00:55:57,320 --> 00:56:02,080
Speaker 1: don't require a postmark. Now, look, this is not me

931
00:56:02,200 --> 00:56:05,480
Speaker 1: trying to throw partisan jabs, right, But I think anybody

932
00:56:05,600 --> 00:56:08,520
Speaker 1: that's approaching this in a fair minded way sort of

933
00:56:08,560 --> 00:56:12,160
Speaker 1: scratches their head and say and says, what is going

934
00:56:12,200 --> 00:56:17,640
Speaker 1: on here? How does this make sense? Pennsylvanians deserve free

935
00:56:17,640 --> 00:56:21,160
Speaker 1: and fair elections, And I think people were worried that

936
00:56:21,360 --> 00:56:24,600
Speaker 1: the Democrats are going to see, you know how many

937
00:56:24,680 --> 00:56:26,759
Speaker 1: votes they're down on election Day and then they're going

938
00:56:26,800 --> 00:56:28,759
Speaker 1: to go into overdrive over the next three days to

939
00:56:28,880 --> 00:56:32,359
Speaker 1: try to deliver those votes. And look, you know, we've

940
00:56:32,400 --> 00:56:35,160
Speaker 1: known all along, Buck, that Republicans are going to show

941
00:56:35,200 --> 00:56:38,480
Speaker 1: up on election day around here. And again, I'm not

942
00:56:38,520 --> 00:56:42,560
Speaker 1: trying to be hyperbolic, but I've never seen an enthusiastic

943
00:56:42,920 --> 00:56:47,360
Speaker 1: enthusiasm for a president like I have here in Pennsylvania.

944
00:56:47,560 --> 00:56:51,080
Speaker 1: And truthfully, you know, we don't focus enough on this,

945
00:56:51,320 --> 00:56:54,399
Speaker 1: but the proof is in the numbers of our voter registrations, Buck,

946
00:56:54,440 --> 00:56:57,400
Speaker 1: and we are just we are absolutely destroying the Democrats

947
00:56:57,400 --> 00:56:59,840
Speaker 1: and voter registration. And I say this all the time,

948
00:57:00,400 --> 00:57:04,759
Speaker 1: but Pennsylvania is actually more favorable for the president today

949
00:57:04,840 --> 00:57:07,239
Speaker 1: than it was in two thousand and sixteen. The only

950
00:57:07,239 --> 00:57:10,279
Speaker 1: difference is is sort of sort of the chaos that's

951
00:57:10,280 --> 00:57:13,759
Speaker 1: surrounding the mail in ballots. Now that's really interesting to

952
00:57:13,800 --> 00:57:17,400
Speaker 1: hear because we keep seeing that the big headline is

953
00:57:17,760 --> 00:57:22,160
Speaker 1: Trump is down in every national poll, in every battleground state.

954
00:57:22,200 --> 00:57:24,360
Speaker 1: You know, this is what the drumbeat is from the media,

955
00:57:24,400 --> 00:57:26,560
Speaker 1: and I think it's it's men at least in part,

956
00:57:26,640 --> 00:57:29,560
Speaker 1: to demoralize, and they're very happy about it, you know,

957
00:57:29,600 --> 00:57:33,120
Speaker 1: the same way that they were talking about Amy Coney

958
00:57:33,200 --> 00:57:37,160
Speaker 1: Barrett polls showing that a majority of the American people

959
00:57:38,080 --> 00:57:40,520
Speaker 1: didn't want are confirmed, and that was a big talking point. Well,

960
00:57:40,560 --> 00:57:43,080
Speaker 1: then the hearing's happened, and now for majority of the

961
00:57:43,120 --> 00:57:46,680
Speaker 1: American people wants are confirmed. And now now poles don't

962
00:57:46,720 --> 00:57:48,240
Speaker 1: matter all of a sudden about that. Right, So we

963
00:57:48,520 --> 00:57:51,280
Speaker 1: know that the the the evidence, the basis for all

964
00:57:51,320 --> 00:57:54,400
Speaker 1: this change is so very very quickly. What are you

965
00:57:54,440 --> 00:57:56,880
Speaker 1: seeing right now in Pennsylvania that that is favorable for

966
00:57:56,880 --> 00:57:58,920
Speaker 1: the president? I mean you're telling me that that earlier,

967
00:57:59,000 --> 00:58:01,520
Speaker 1: I mean that that voter registration is up. Do we

968
00:58:01,560 --> 00:58:05,479
Speaker 1: have any sense of how the early voting is going. Well,

969
00:58:05,520 --> 00:58:08,200
Speaker 1: Democrats were beating us in early voting and it's not

970
00:58:08,280 --> 00:58:12,800
Speaker 1: even close. But look, bottom line is this the people

971
00:58:13,320 --> 00:58:15,720
Speaker 1: that are voting right now on the Democratic side of

972
00:58:15,720 --> 00:58:18,880
Speaker 1: the aisle. And this is just you know, you know,

973
00:58:18,960 --> 00:58:23,320
Speaker 1: my campaign talking right but they're buying large people that

974
00:58:23,360 --> 00:58:25,400
Speaker 1: we're going to show up on election day, and it

975
00:58:25,440 --> 00:58:28,920
Speaker 1: looks to us like they're cannibal cannibalizing their own election

976
00:58:29,000 --> 00:58:32,520
Speaker 1: day vote. We talk about the numbers in the state

977
00:58:32,520 --> 00:58:35,160
Speaker 1: of Pennsylvania, Buck, and these are hard numbers. You know,

978
00:58:35,240 --> 00:58:39,960
Speaker 1: the Republicans have registered over like almost over two hundred

979
00:58:40,000 --> 00:58:43,720
Speaker 1: thousand new Republican voters since twenty sixteen. That is, that's

980
00:58:44,080 --> 00:58:46,840
Speaker 1: some of those people are undoubtedly Democrats that maybe voted

981
00:58:46,880 --> 00:58:49,840
Speaker 1: for Trump in twenty sixteen, that maybe switched party registration,

982
00:58:50,320 --> 00:58:54,040
Speaker 1: but nowhere near all of them. And so in Pennsylvania,

983
00:58:54,120 --> 00:58:56,919
Speaker 1: President Trump won the state of Pennsylvania by forty four

984
00:58:56,960 --> 00:59:00,520
Speaker 1: thousand votes thereabouts in twenty sixteen. And we've got one

985
00:59:00,600 --> 00:59:03,640
Speaker 1: hundred and sixty one hundred and eighty plus thousand newly

986
00:59:03,720 --> 00:59:06,600
Speaker 1: registered Republicans here in the state of Pennsylvania, by the way,

987
00:59:06,720 --> 00:59:10,360
Speaker 1: who aren't reflected in the polls, who are definitely turning

988
00:59:10,360 --> 00:59:13,200
Speaker 1: out and voting for President Trump. Now in my district,

989
00:59:13,680 --> 00:59:17,160
Speaker 1: Republicans are also beating Democrats and voter registration I think

990
00:59:17,200 --> 00:59:20,960
Speaker 1: we've registered a thousand more Republicans than the Democrats have

991
00:59:21,040 --> 00:59:26,160
Speaker 1: registered for themselves. And so, look, those are the numbers

992
00:59:26,160 --> 00:59:27,760
Speaker 1: that I look at, and I look at the numbers

993
00:59:27,760 --> 00:59:30,760
Speaker 1: here in Pennsylvania seventeen as well. And if the district

994
00:59:30,800 --> 00:59:35,120
Speaker 1: had existed in two thousand and sixteen, President Trump would

995
00:59:35,120 --> 00:59:38,000
Speaker 1: have won this district by over ten thousand votes, and

996
00:59:38,120 --> 00:59:40,680
Speaker 1: Senator to Me in the very same year won the

997
00:59:40,720 --> 00:59:43,880
Speaker 1: district by seventeen thousand votes. Now, you will never hear

998
00:59:43,960 --> 00:59:47,479
Speaker 1: that portrade on the media, right, you will never hear

999
00:59:47,520 --> 00:59:50,880
Speaker 1: those hard numbers portrayed on the media because they'd rather

1000
00:59:50,920 --> 00:59:55,720
Speaker 1: focus on polling whose methodology, quite frankly, is dated. And

1001
00:59:56,000 --> 00:59:59,160
Speaker 1: here's why, Buck. Look, we've got Governor Tom Ridge, who's

1002
00:59:59,160 --> 01:00:02,520
Speaker 1: a guy that I was back immensely, who's a lifetime

1003
01:00:02,520 --> 01:00:06,440
Speaker 1: Republican here from western Pennsylvania. It was a congressman in

1004
01:00:06,440 --> 01:00:09,720
Speaker 1: western Pennsylvania. A governor is voting for Joe Biden. But

1005
01:00:09,800 --> 01:00:12,360
Speaker 1: almost every Democrat that I talked to in Beaver County,

1006
01:00:12,480 --> 01:00:15,160
Speaker 1: all of which is in my district, are voting for Trump.

1007
01:00:15,360 --> 01:00:18,200
Speaker 1: How do you pull that? How do you find statistical

1008
01:00:18,240 --> 01:00:22,120
Speaker 1: sampling that would represent that? It's very, very difficult to

1009
01:00:22,160 --> 01:00:25,360
Speaker 1: pull Western Pennsylvania. And I will tell you this, this

1010
01:00:25,520 --> 01:00:29,120
Speaker 1: race both Pennsylvania in PA seventeen is going to be

1011
01:00:29,200 --> 01:00:32,920
Speaker 1: a razor thin margin. It just is. Speaking of Sean Parnell,

1012
01:00:33,160 --> 01:00:36,400
Speaker 1: he is a former Army ranger and he is now

1013
01:00:36,520 --> 01:00:42,720
Speaker 1: running against Connor lamb out in Western Pennsylvania Congrettial District seventeen. Sean,

1014
01:00:44,000 --> 01:00:45,800
Speaker 1: you know you and I talk off line a lot too.

1015
01:00:45,800 --> 01:00:49,080
Speaker 1: We've known each other for years. What is your response

1016
01:00:49,160 --> 01:00:55,400
Speaker 1: to this obviously concerted and really ruthless campaign to pretend

1017
01:00:55,960 --> 01:00:59,480
Speaker 1: that once again Donald Trump may win, according to the

1018
01:00:59,480 --> 01:01:05,720
Speaker 1: Democrat because of Russian interference, this time a Russian disinformation

1019
01:01:05,840 --> 01:01:11,600
Speaker 1: campaign on Hunter Biden's emails. Buck. Look, I've never seen

1020
01:01:12,760 --> 01:01:14,880
Speaker 1: I've never seen the media like this, and it's not

1021
01:01:14,920 --> 01:01:17,680
Speaker 1: just the national media. I've never seen the media soe

1022
01:01:17,800 --> 01:01:19,919
Speaker 1: in the tank for a political party before in my life.

1023
01:01:19,960 --> 01:01:23,520
Speaker 1: And I look, man, I think it's dangerous. You know,

1024
01:01:23,600 --> 01:01:25,760
Speaker 1: the people rely on the media to get the truth

1025
01:01:25,800 --> 01:01:28,600
Speaker 1: and the facts out about both parties. Look, I want

1026
01:01:28,600 --> 01:01:30,920
Speaker 1: the media to ask me tough questions, but the media

1027
01:01:30,960 --> 01:01:35,320
Speaker 1: should also ask Democrats tough questions as well, Like, for example,

1028
01:01:36,160 --> 01:01:38,840
Speaker 1: Connor lamb is not on the record about court packing.

1029
01:01:39,080 --> 01:01:42,080
Speaker 1: Connor Lamb is not on the record about removing the filibuster.

1030
01:01:42,240 --> 01:01:44,800
Speaker 1: Connor Lamb is not on the record about issues that

1031
01:01:44,840 --> 01:01:49,920
Speaker 1: would fundamentally transform our country. And this is not Sean

1032
01:01:49,960 --> 01:01:54,400
Speaker 1: Parnell saying this stuff. These are Democrats, national Democrats in

1033
01:01:54,440 --> 01:01:57,360
Speaker 1: Washington who say they're going to do this stuff if

1034
01:01:57,360 --> 01:02:00,200
Speaker 1: they win. Now, if we had a responsible media at

1035
01:02:00,200 --> 01:02:02,640
Speaker 1: the local and national level, they'd be asking the Democrats

1036
01:02:02,640 --> 01:02:05,120
Speaker 1: these questions and getting them on the record. And the

1037
01:02:05,160 --> 01:02:08,920
Speaker 1: fact that this Hunter Biden's story, this is a this

1038
01:02:09,000 --> 01:02:12,480
Speaker 1: is a huge deal. The fact that the Biden family,

1039
01:02:12,520 --> 01:02:15,040
Speaker 1: what it looks like they profited off their name to

1040
01:02:15,120 --> 01:02:19,520
Speaker 1: the tune of tens of millions of dollars funneled through

1041
01:02:19,680 --> 01:02:25,360
Speaker 1: Hunter Biden and into the Biden family from countries like Russia, Ukraine,

1042
01:02:25,680 --> 01:02:30,280
Speaker 1: and China. And that to me is just it's just

1043
01:02:30,640 --> 01:02:34,320
Speaker 1: unbelievable to me that that one the Democrats and the

1044
01:02:34,360 --> 01:02:39,160
Speaker 1: media are pushed peddling this Russia disinformation nonsense to where

1045
01:02:39,160 --> 01:02:42,200
Speaker 1: even the DNI has come out and said, no, that's

1046
01:02:42,240 --> 01:02:46,439
Speaker 1: not true. But what's worse is that nobody has has

1047
01:02:46,560 --> 01:02:50,480
Speaker 1: even really asked Joe Biden in any sort of concerted

1048
01:02:50,520 --> 01:02:53,360
Speaker 1: way about it to the CBS reporter who did it,

1049
01:02:53,400 --> 01:02:55,880
Speaker 1: I can't remember whose name. Hey, kudos to him for

1050
01:02:55,960 --> 01:03:00,120
Speaker 1: actually asking the question. But the American people need and

1051
01:03:00,200 --> 01:03:03,320
Speaker 1: deserve an answer on these questions before election day, and

1052
01:03:03,360 --> 01:03:05,560
Speaker 1: it's just staggering to me that he can get away

1053
01:03:05,600 --> 01:03:08,800
Speaker 1: with it. He can seemingly can get away with it. Now. Sean,

1054
01:03:09,000 --> 01:03:12,040
Speaker 1: your race is being looked at as one of those

1055
01:03:12,400 --> 01:03:15,600
Speaker 1: bellweather congressional races for the rest of the country, particularly

1056
01:03:15,600 --> 01:03:18,560
Speaker 1: because you know you're you're a veteran running against a

1057
01:03:18,640 --> 01:03:22,960
Speaker 1: veteran in a swing state, as a contentious an election

1058
01:03:22,960 --> 01:03:25,360
Speaker 1: as anybody's ever seen, and a swing state that now

1059
01:03:25,520 --> 01:03:27,520
Speaker 1: is going to have the extension, the three day extension

1060
01:03:27,520 --> 01:03:30,760
Speaker 1: as you mentioned, to get ballots in don't even have

1061
01:03:30,800 --> 01:03:34,480
Speaker 1: to necessarily be postmarked. What should people know about about

1062
01:03:35,280 --> 01:03:38,000
Speaker 1: your opponent, Connor Lamb and how you stack up against him,

1063
01:03:38,040 --> 01:03:40,320
Speaker 1: and people be hearing this that are in and around

1064
01:03:40,360 --> 01:03:43,240
Speaker 1: your district, Well, I would say that, you know, when

1065
01:03:43,280 --> 01:03:47,000
Speaker 1: people you know people in Pennsylvania seventeen, they think you

1066
01:03:47,040 --> 01:03:51,479
Speaker 1: know Ilhan Omar and Alexandria Cossio Cortez are both radical, right,

1067
01:03:53,160 --> 01:03:56,520
Speaker 1: but sometimes they don't think that Connor Lamb is, even

1068
01:03:56,560 --> 01:03:59,760
Speaker 1: though his voting record is exactly the same. And when

1069
01:03:59,760 --> 01:04:01,720
Speaker 1: I say is that if you look at Ilhan Omar

1070
01:04:01,800 --> 01:04:05,520
Speaker 1: and you look at Alexandro Accascio Cortez, they're outward with

1071
01:04:05,560 --> 01:04:09,920
Speaker 1: their radicalism. Connor Lamb is almost more dangerous because he

1072
01:04:10,000 --> 01:04:13,480
Speaker 1: keeps it under wraps and nobody here locally holds him

1073
01:04:13,480 --> 01:04:17,959
Speaker 1: accountable for his radical voting record. You know, Connor Lamb

1074
01:04:18,440 --> 01:04:21,240
Speaker 1: is a case study in contrast of somebody that comes

1075
01:04:21,280 --> 01:04:24,520
Speaker 1: around every two years and tells people what he thinks

1076
01:04:24,520 --> 01:04:26,240
Speaker 1: that they want to hear in district and then goes

1077
01:04:26,280 --> 01:04:29,080
Speaker 1: to Washington and does something completely different. And by the way,

1078
01:04:29,480 --> 01:04:31,480
Speaker 1: said he was going to be pro gun as an

1079
01:04:31,520 --> 01:04:33,840
Speaker 1: f rating with the NRA today, said he's going to

1080
01:04:33,920 --> 01:04:36,800
Speaker 1: be pro life, votes against the Born Alive Act twice,

1081
01:04:37,000 --> 01:04:39,000
Speaker 1: said he was going to support President Trump and the

1082
01:04:39,040 --> 01:04:41,960
Speaker 1: Republicans who put him in office, voter to impeach the President.

1083
01:04:42,040 --> 01:04:44,960
Speaker 1: Said he was going to oppose Pelosi, votes with Pelosi

1084
01:04:45,000 --> 01:04:48,040
Speaker 1: over ninety percent at a time, takes FOP endorsements in

1085
01:04:48,080 --> 01:04:51,000
Speaker 1: twenty eighteen, and two years later he's marching with defund

1086
01:04:51,000 --> 01:04:55,520
Speaker 1: the police radicals. I mean, he is just a case study.

1087
01:04:56,120 --> 01:04:59,760
Speaker 1: In contrasts, it sounds like Joe Biden a little bit

1088
01:05:00,240 --> 01:05:02,560
Speaker 1: like with it. The whole Joe Biden presidency is premised

1089
01:05:02,960 --> 01:05:05,080
Speaker 1: along a guy that you know, he's not you can

1090
01:05:05,080 --> 01:05:07,360
Speaker 1: trust him. He's not so bad, he's not so radical.

1091
01:05:07,440 --> 01:05:09,920
Speaker 1: Joe Eden says that, and then you say, well, we'll

1092
01:05:09,960 --> 01:05:12,560
Speaker 1: hold on a second. You were saying you wanted to

1093
01:05:12,560 --> 01:05:17,960
Speaker 1: ban fracking like five minutes ago. That's pretty radical. Yeah, well,

1094
01:05:17,960 --> 01:05:21,160
Speaker 1: not only not only Joe Biden, but Kamala Harris said

1095
01:05:21,240 --> 01:05:25,120
Speaker 1: she bans fracking day one. And the Unity Task Force,

1096
01:05:25,320 --> 01:05:29,080
Speaker 1: which is Joe Biden's environmental and Energy task force. The

1097
01:05:29,160 --> 01:05:32,520
Speaker 1: chair of that task Force is Bernie Sanders, The coachair

1098
01:05:32,560 --> 01:05:36,560
Speaker 1: of that task force is Alexander Accostio Cortez. And Connor

1099
01:05:36,640 --> 01:05:39,120
Speaker 1: Lamb is on that task force as well and works

1100
01:05:39,160 --> 01:05:41,880
Speaker 1: for them. Now, all of these people had been on

1101
01:05:41,920 --> 01:05:44,760
Speaker 1: the record saying that they're gonna ban fracking, all of them,

1102
01:05:44,880 --> 01:05:48,240
Speaker 1: and so are you gonna believe what they say two

1103
01:05:48,280 --> 01:05:52,280
Speaker 1: weeks before an election when they desperately need the votes

1104
01:05:52,360 --> 01:05:55,080
Speaker 1: of people in Pennsylvania? Are you gonna believe what they've

1105
01:05:55,120 --> 01:05:59,120
Speaker 1: said all along? You know, up to and including the primary?

1106
01:05:59,320 --> 01:06:03,000
Speaker 1: I would say, look at what they said in the primary,

1107
01:06:03,080 --> 01:06:05,160
Speaker 1: look at how they flipped plot, but also look at

1108
01:06:05,200 --> 01:06:07,760
Speaker 1: their voting record, right like every single one of those people,

1109
01:06:08,000 --> 01:06:11,720
Speaker 1: I mean, Kamala Harris Co sponsored the Green New Deal

1110
01:06:11,720 --> 01:06:16,160
Speaker 1: in the Senate, Alexander Roccio Cortez introduced the band Fracking Act.

1111
01:06:16,200 --> 01:06:19,880
Speaker 1: In the House, Connor Lamb voted to block our withdrawal

1112
01:06:19,920 --> 01:06:22,560
Speaker 1: from the Paris Climate Accord and voted to pave the

1113
01:06:22,600 --> 01:06:25,280
Speaker 1: way for a future Democratic president the band fracking on

1114
01:06:25,360 --> 01:06:29,080
Speaker 1: private and federal land. Look at what these people do.

1115
01:06:29,080 --> 01:06:32,160
Speaker 1: Don't necessarily listen to what they say when they're desperately

1116
01:06:32,240 --> 01:06:35,720
Speaker 1: asking for your vote in an election season. Sean Parnell, everybody,

1117
01:06:35,720 --> 01:06:39,360
Speaker 1: he's running in Pennsylvania's seventeenth hopefully going to be the

1118
01:06:39,360 --> 01:06:43,320
Speaker 1: next congressman from that district. We're pulling for him. Sean,

1119
01:06:43,480 --> 01:06:46,680
Speaker 1: my friend, always great to talk to you. You've you've

1120
01:06:46,720 --> 01:06:48,480
Speaker 1: run a heck of a race so far, man, and

1121
01:06:48,480 --> 01:06:50,320
Speaker 1: we just we know you're gonna finish strong. Thanks for

1122
01:06:50,440 --> 01:06:56,320
Speaker 1: joining us. Thanks Buck, you're in the Freedom Hud. This

1123
01:06:56,400 --> 01:07:02,640
Speaker 1: is the Buck Sexton Show podcast. They want to take

1124
01:07:02,680 --> 01:07:06,360
Speaker 1: away your guns, your oil, and your god. Okay, that's

1125
01:07:06,360 --> 01:07:08,960
Speaker 1: what they want. They want to take away your second amendments.

1126
01:07:09,200 --> 01:07:12,680
Speaker 1: They want to take away a fracking and oil. They

1127
01:07:12,720 --> 01:07:14,400
Speaker 1: don't care if they want to take it away. They

1128
01:07:14,400 --> 01:07:16,400
Speaker 1: want to go to the green New Deal. That's not

1129
01:07:16,440 --> 01:07:19,360
Speaker 1: for Texas. Texas is not going to be losing their guns,

1130
01:07:19,760 --> 01:07:21,600
Speaker 1: and they're not going to be losing their oil, and

1131
01:07:21,640 --> 01:07:24,120
Speaker 1: they're not going to be losing their religion or their god.

1132
01:07:24,520 --> 01:07:28,440
Speaker 1: Presidents telling people the truth about about the fracking the oil.

1133
01:07:28,520 --> 01:07:32,040
Speaker 1: I mean, you can't have a Democrat party here that

1134
01:07:32,080 --> 01:07:33,880
Speaker 1: thinks that, as we talked about the beginning of the

1135
01:07:33,880 --> 01:07:37,320
Speaker 1: show today, climate change is an existential threat. CO two

1136
01:07:37,360 --> 01:07:40,479
Speaker 1: emissions are an existential threat, and then say that they're

1137
01:07:40,480 --> 01:07:43,440
Speaker 1: not going to be hostile to fossil fuel usage and

1138
01:07:43,480 --> 01:07:48,080
Speaker 1: emissions and all the rest of it, and guns too.

1139
01:07:48,120 --> 01:07:50,720
Speaker 1: I believe, and this is not a some of my predictions,

1140
01:07:50,720 --> 01:07:54,400
Speaker 1: I'm very confident, and this one's a little more speculative,

1141
01:07:55,160 --> 01:07:56,720
Speaker 1: but I think at some point they're going to use

1142
01:07:56,720 --> 01:08:01,480
Speaker 1: their newfound health authority, you know, health emergency authority under

1143
01:08:01,520 --> 01:08:06,000
Speaker 1: a Biden administration, they will expand that to the health

1144
01:08:06,280 --> 01:08:10,800
Speaker 1: emergency around the gun violence epidemic. You know. I take

1145
01:08:10,840 --> 01:08:14,360
Speaker 1: the Democrats at their word when it comes to what

1146
01:08:14,400 --> 01:08:16,559
Speaker 1: they say they want to do, when they can get

1147
01:08:16,600 --> 01:08:20,200
Speaker 1: away with saying it, not in a general election a

1148
01:08:20,200 --> 01:08:23,160
Speaker 1: few weeks before people are going to cast votes, but

1149
01:08:23,520 --> 01:08:27,200
Speaker 1: when they're just thinking out loud or telling their base

1150
01:08:28,160 --> 01:08:30,040
Speaker 1: what they're going to try to accomplish, I think they

1151
01:08:30,080 --> 01:08:33,280
Speaker 1: should be taken taken seriously on that one. And this

1152
01:08:33,360 --> 01:08:36,840
Speaker 1: is also true on the issue of taxes, because it's

1153
01:08:36,840 --> 01:08:39,920
Speaker 1: so strange. They keep saying that they're not going to

1154
01:08:40,040 --> 01:08:42,439
Speaker 1: raise taxes, but then it comes out, no, they are

1155
01:08:42,520 --> 01:08:45,120
Speaker 1: going to raise taxes, but they're only going to raise

1156
01:08:45,160 --> 01:08:47,120
Speaker 1: taxes they say on some people. Well, does that go

1157
01:08:47,200 --> 01:08:50,720
Speaker 1: to include small business owners? Let's say who can be

1158
01:08:50,760 --> 01:08:54,679
Speaker 1: taxed at the maximum individual rate? Is that you know where? Really?

1159
01:08:54,760 --> 01:08:58,760
Speaker 1: Does this? Does this change in tax policy? Leave us

1160
01:08:58,800 --> 01:09:03,840
Speaker 1: all here? There's Kamala claiming that Trump, of course is

1161
01:09:03,880 --> 01:09:08,679
Speaker 1: a liar. We'll talk about this play eight. And by

1162
01:09:08,720 --> 01:09:12,679
Speaker 1: the way, you know, in those debates, as per usual,

1163
01:09:12,960 --> 01:09:17,720
Speaker 1: you can rely on Donald Trump to engage in distortions

1164
01:09:18,200 --> 01:09:21,680
Speaker 1: and basically lie to the American people. So let's be

1165
01:09:21,760 --> 01:09:25,479
Speaker 1: clear about this. Joe Biden will not increase taxes on

1166
01:09:25,600 --> 01:09:27,840
Speaker 1: anyone who makes less than four hundred thousand dollars a

1167
01:09:27,920 --> 01:09:35,200
Speaker 1: year period. Right, keep in mind that state and local

1168
01:09:35,240 --> 01:09:37,519
Speaker 1: taxes are almost certain to go up in all these

1169
01:09:37,560 --> 01:09:42,280
Speaker 1: Democrat Democrat places. And now everyone says, oh, well, Buck

1170
01:09:42,320 --> 01:09:44,320
Speaker 1: moved to Texas or moved to these other states, and

1171
01:09:44,320 --> 01:09:46,559
Speaker 1: that's good. And my brother just did. My brother's down

1172
01:09:46,600 --> 01:09:48,479
Speaker 1: in Austin, Texas right now. I'm gonna go visit him

1173
01:09:48,520 --> 01:09:53,080
Speaker 1: opening about three or four weeks after the election. But

1174
01:09:53,160 --> 01:09:55,960
Speaker 1: they can get you at the federal level too, and

1175
01:09:56,040 --> 01:09:57,880
Speaker 1: that's part of the game here, that's part of the plan.

1176
01:09:58,040 --> 01:10:01,479
Speaker 1: They want to go after you on the federal side

1177
01:10:01,560 --> 01:10:06,439
Speaker 1: for more money. So remember that. And they also are

1178
01:10:06,479 --> 01:10:08,719
Speaker 1: going to find all kinds of ways to increase taxes

1179
01:10:08,720 --> 01:10:12,800
Speaker 1: without saying they're really increasing taxes. They don't really under

1180
01:10:12,880 --> 01:10:15,040
Speaker 1: They don't really believe that economics one oh one is

1181
01:10:15,080 --> 01:10:16,840
Speaker 1: what it is. They think that they can always find

1182
01:10:16,840 --> 01:10:20,280
Speaker 1: a way around it. New York and New Jersey, by

1183
01:10:20,320 --> 01:10:22,360
Speaker 1: the way, I know that only some of you live

1184
01:10:22,400 --> 01:10:24,639
Speaker 1: in one of those two states, but California as well

1185
01:10:24,840 --> 01:10:28,200
Speaker 1: is super high tax and going to be higher tax soon.

1186
01:10:28,720 --> 01:10:31,680
Speaker 1: New York and New Jersey for top earners which you

1187
01:10:31,760 --> 01:10:33,599
Speaker 1: live in New York City, making over four hundred thousand

1188
01:10:33,600 --> 01:10:35,080
Speaker 1: dollars a year. It doesn't make you rich by any

1189
01:10:35,439 --> 01:10:38,240
Speaker 1: it makes you upper middle class. I know that sounds crazy,

1190
01:10:38,280 --> 01:10:39,640
Speaker 1: but it's true. In New York. If you look at

1191
01:10:39,640 --> 01:10:43,759
Speaker 1: the projections, because of how expensive quality, how expensive daily

1192
01:10:43,800 --> 01:10:47,960
Speaker 1: living in real estate is here, fifty eight percent would

1193
01:10:47,960 --> 01:10:51,400
Speaker 1: be there the top top rate according to the Wall

1194
01:10:51,400 --> 01:10:54,719
Speaker 1: Street Journal. Here you'd have a fifty eight percent all

1195
01:10:54,840 --> 01:11:00,160
Speaker 1: in state, local, federal, You make four hundred grand. It's

1196
01:11:00,200 --> 01:11:03,040
Speaker 1: not that far off from Sweden, my friends. That starts

1197
01:11:03,080 --> 01:11:05,600
Speaker 1: to really that starts to really get up there. But

1198
01:11:05,680 --> 01:11:08,640
Speaker 1: you're going to see more of this because Democrats are

1199
01:11:08,640 --> 01:11:11,080
Speaker 1: going to have to enlarge government. They do have a

1200
01:11:11,200 --> 01:11:15,599
Speaker 1: year of massive spending and dwindling or dropping it should

1201
01:11:15,600 --> 01:11:18,439
Speaker 1: say revenue that they're going to use for all of this.

1202
01:11:19,160 --> 01:11:21,880
Speaker 1: So just get ready for it, and you're not going

1203
01:11:21,920 --> 01:11:23,360
Speaker 1: to be told the truth. Oh one other thing I

1204
01:11:23,360 --> 01:11:27,640
Speaker 1: wanted to note here Pelosi speaking of the spending. I

1205
01:11:27,680 --> 01:11:31,800
Speaker 1: don't think Pelosi is gonna there's not going to be

1206
01:11:31,800 --> 01:11:34,960
Speaker 1: a deal today. When you hear this, that could change,

1207
01:11:34,960 --> 01:11:38,640
Speaker 1: but unlikely, as I go on air right now, not

1208
01:11:38,680 --> 01:11:40,600
Speaker 1: going to be any deal. And that just tells you

1209
01:11:40,640 --> 01:11:43,920
Speaker 1: a lot about these Democrats. People really are suffering. The

1210
01:11:44,000 --> 01:11:48,120
Speaker 1: Republicans wanted to get money out there. Nancy Pelosi's offer

1211
01:11:48,600 --> 01:11:53,320
Speaker 1: to struggling small businesses and workers across America right now

1212
01:11:53,320 --> 01:11:56,720
Speaker 1: who need help, They've got bills they can't pay, who

1213
01:11:56,760 --> 01:12:00,400
Speaker 1: are in a really tough spot. Nancy Pelosi's explanation for

1214
01:12:00,439 --> 01:12:04,960
Speaker 1: them is that they'd rather have no that she'd rather

1215
01:12:05,000 --> 01:12:08,559
Speaker 1: they have no money than have money. But Nancy not

1216
01:12:08,640 --> 01:12:13,679
Speaker 1: get her political wish list from the Congress and signed

1217
01:12:13,680 --> 01:12:16,680
Speaker 1: by the President. That's really what it all comes down to.

1218
01:12:17,720 --> 01:12:22,280
Speaker 1: So Nancy's willing to watch workers suffer, which I don't

1219
01:12:22,280 --> 01:12:25,799
Speaker 1: think it's surprising to anybody, but here we have very clear,

1220
01:12:26,000 --> 01:12:28,960
Speaker 1: very very blatant evidence of that. So the party that

1221
01:12:29,040 --> 01:12:32,680
Speaker 1: claims that they care so much about working people is

1222
01:12:32,720 --> 01:12:34,680
Speaker 1: in fact making sure that working people will have a

1223
01:12:34,720 --> 01:12:37,960
Speaker 1: harder time paying their bills. No deal. It's been weeks

1224
01:12:37,960 --> 01:12:40,240
Speaker 1: and weeks of negotiating. Pelosi is gonna end up. It

1225
01:12:40,280 --> 01:12:43,200
Speaker 1: seems again, it could change. It seems like no deal

1226
01:12:43,200 --> 01:12:46,519
Speaker 1: because today's the deadline and Pelosi doesn't want Americans to

1227
01:12:46,520 --> 01:12:49,920
Speaker 1: feel better, not until after the election. Thanks for listening

1228
01:12:50,000 --> 01:12:54,440
Speaker 1: to the show past, Remember to subscribe on Apple Podcasts,

1229
01:12:54,560 --> 01:12:57,760
Speaker 1: the iHeart Radio app, or wherever you get your podcasts.

1230
01:12:58,800 --> 01:13:02,679
Speaker 1: Let's talk about vacans for some good news. I feel

1231
01:13:02,720 --> 01:13:04,479
Speaker 1: like we could use a little bit of good news today.

1232
01:13:05,800 --> 01:13:11,679
Speaker 1: There's at least one major vaccine developer believes right now

1233
01:13:11,720 --> 01:13:16,559
Speaker 1: that there will be a if it is approved, there

1234
01:13:16,560 --> 01:13:21,760
Speaker 1: will be distribution of a vaccine under an emergency authorization

1235
01:13:21,920 --> 01:13:24,960
Speaker 1: by as soon as now, some distribution of it by

1236
01:13:25,000 --> 01:13:31,360
Speaker 1: as soon as December. So that's a good thing. That's it.

1237
01:13:31,439 --> 01:13:37,880
Speaker 1: That's really encouraging, and that's something that we should all say, Okay, well,

1238
01:13:37,920 --> 01:13:40,599
Speaker 1: at least operation warp speed. It looks like it's going

1239
01:13:40,640 --> 01:13:46,640
Speaker 1: to going to come to it. It's happy conclusion in

1240
01:13:46,680 --> 01:13:49,799
Speaker 1: that regard. They'll get there quickly. But then we also

1241
01:13:49,920 --> 01:13:53,960
Speaker 1: have to deal with the once again change in what

1242
01:13:54,080 --> 01:14:00,960
Speaker 1: the parameters are here. We were told locking down until

1243
01:14:02,520 --> 01:14:06,719
Speaker 1: a vaccine was crazy, and now we are firmly being

1244
01:14:06,800 --> 01:14:10,280
Speaker 1: pushed into the locking down until after a vaccine will

1245
01:14:10,320 --> 01:14:17,479
Speaker 1: be necessary. This is from today CNBC. Coronavirus likely to

1246
01:14:17,520 --> 01:14:21,840
Speaker 1: become endemic as the flu, and a vaccine might not

1247
01:14:22,040 --> 01:14:25,439
Speaker 1: be able to stop it, according to a top u

1248
01:14:26,000 --> 01:14:31,400
Speaker 1: K scientist. So now you have scientists telling you we're

1249
01:14:31,439 --> 01:14:36,040
Speaker 1: going to have coronavirus for the foreseeable future, years maybe

1250
01:14:36,040 --> 01:14:39,080
Speaker 1: decades to come. Now, I'm not sure that's true, but

1251
01:14:39,160 --> 01:14:41,640
Speaker 1: let's just understand that they're already saying this. Do you

1252
01:14:41,680 --> 01:14:43,320
Speaker 1: want to wear a mask the rest of your life?

1253
01:14:44,479 --> 01:14:46,519
Speaker 1: Do you want to live in fear of your fellow

1254
01:14:46,600 --> 01:14:48,639
Speaker 1: human beings for the next ten or fifteen or twenty year.

1255
01:14:48,680 --> 01:14:51,880
Speaker 1: Look how long we've had influence outbreaks. It's going to

1256
01:14:51,920 --> 01:14:56,439
Speaker 1: become endemic, meaning within the population, and vaccines won't stop it.

1257
01:14:56,720 --> 01:14:59,400
Speaker 1: Now we'll have hopefully better therapeutics, we'll bring the fatality

1258
01:14:59,479 --> 01:15:02,800
Speaker 1: rate even and lower. But at some point people are

1259
01:15:02,800 --> 01:15:06,040
Speaker 1: just gonna have to stop being terrified. They're just gonna

1260
01:15:06,040 --> 01:15:08,200
Speaker 1: have to be willing to roll the dice. You never know.

1261
01:15:08,800 --> 01:15:10,640
Speaker 1: You know, you can step off the curb and get

1262
01:15:10,720 --> 01:15:13,759
Speaker 1: hit by a bus because the driver you know, thought

1263
01:15:13,760 --> 01:15:15,320
Speaker 1: he was taking tail and all, and he took a

1264
01:15:15,320 --> 01:15:20,320
Speaker 1: few ambient you know, you just don't know, and you

1265
01:15:20,360 --> 01:15:25,320
Speaker 1: can only take certain mitigation. Sorry, I had to measures.

1266
01:15:25,560 --> 01:15:28,280
Speaker 1: In life, you're still always going to be at risk.

1267
01:15:28,320 --> 01:15:30,040
Speaker 1: You leave your house, you're a risk. You stay at home,

1268
01:15:30,800 --> 01:15:33,160
Speaker 1: you're online, you know, buying stuff and everything else. There's

1269
01:15:33,240 --> 01:15:36,479
Speaker 1: risks everywhere around you. Now, I don't say that to

1270
01:15:36,520 --> 01:15:38,400
Speaker 1: make you anxious or nervous. I say that to make

1271
01:15:38,400 --> 01:15:42,200
Speaker 1: you feel free. You do the best you can. You

1272
01:15:42,280 --> 01:15:45,519
Speaker 1: make them most intelligent decisions possible, especially when it comes

1273
01:15:45,520 --> 01:15:47,960
Speaker 1: to your health. You know, I'm trying to eat healthier

1274
01:15:48,000 --> 01:15:50,400
Speaker 1: these days, and I'll just tell you sometimes these days,

1275
01:15:50,760 --> 01:15:53,200
Speaker 1: I'm like, you know what, I just yeah, I want

1276
01:15:53,200 --> 01:15:55,759
Speaker 1: to have a cookie. Shouldn't do it, but I'm gonna

1277
01:15:55,760 --> 01:15:58,040
Speaker 1: do it, and I'm gonna work on my willpower. And

1278
01:15:58,080 --> 01:16:00,400
Speaker 1: I'm aware of what's going on here. But you know,

1279
01:16:00,840 --> 01:16:02,760
Speaker 1: it would be healthier for me if I just ate

1280
01:16:03,840 --> 01:16:07,920
Speaker 1: green veggies and chicken breast three or four times a day.

1281
01:16:08,439 --> 01:16:10,479
Speaker 1: I can't do that right now. I'm just not in

1282
01:16:10,479 --> 01:16:13,559
Speaker 1: that space. But I'm I'm understanding this. I understand that i'm,

1283
01:16:14,280 --> 01:16:16,599
Speaker 1: you know, not not as healthy and not as probably

1284
01:16:16,600 --> 01:16:19,120
Speaker 1: well functioning a machine as I could be. I'm just saying,

1285
01:16:19,200 --> 01:16:21,400
Speaker 1: we all, we all have to start on we all

1286
01:16:21,400 --> 01:16:26,360
Speaker 1: have to start pushing back to normal life. And the

1287
01:16:26,400 --> 01:16:28,160
Speaker 1: problem I have with Fauci and the rest of the

1288
01:16:28,200 --> 01:16:31,600
Speaker 1: Lockdown chorus is there's never they just keep saying that

1289
01:16:31,880 --> 01:16:33,439
Speaker 1: we can we can have our lives back. When the

1290
01:16:33,479 --> 01:16:35,960
Speaker 1: virus is gone and we know it's never coming back,

1291
01:16:36,840 --> 01:16:39,840
Speaker 1: that will be a very long time, and it could

1292
01:16:39,880 --> 01:16:45,400
Speaker 1: even be forever. And that's unacceptable. I find that entirely

1293
01:16:45,479 --> 01:16:48,760
Speaker 1: unacceptable as a proposition and as a part of this.

1294
01:16:48,800 --> 01:16:53,120
Speaker 1: That's why they're pushing all this vaccine stuff. Now. No,

1295
01:16:53,200 --> 01:16:58,160
Speaker 1: I don't mean pushing vaccines, pushing doubt about vaccines. Here

1296
01:16:58,320 --> 01:17:00,760
Speaker 1: is a bunch of Democrats out there making sure that

1297
01:17:01,200 --> 01:17:05,760
Speaker 1: the American people know they think these Democrats that you

1298
01:17:05,840 --> 01:17:12,320
Speaker 1: can't trust the Trump administrations. F DA, here you go,

1299
01:17:13,400 --> 01:17:17,040
Speaker 1: please play nine. But you know President Trump has promised

1300
01:17:17,040 --> 01:17:19,720
Speaker 1: a coronavirus vaccine by the end of the year or

1301
01:17:19,840 --> 01:17:23,920
Speaker 1: maybe sooner. Would you trust that vaccine? No, I would

1302
01:17:23,920 --> 01:17:25,760
Speaker 1: not trust his word. I would trust the word of

1303
01:17:25,760 --> 01:17:28,800
Speaker 1: public health experts and scientists, but not Donald Trump. First

1304
01:17:28,840 --> 01:17:33,160
Speaker 1: of all, I don't trust the president on vaccines. I

1305
01:17:33,200 --> 01:17:36,080
Speaker 1: think it's going to be a very skeptical American public

1306
01:17:36,080 --> 01:17:38,360
Speaker 1: about taking the vaccine, and they should be. He will

1307
01:17:38,400 --> 01:17:41,720
Speaker 1: push anything to get reelected. Don't fall for it. And

1308
01:17:41,800 --> 01:17:44,360
Speaker 1: by the way, I will take the vaccine after Ivanka

1309
01:17:44,439 --> 01:17:48,320
Speaker 1: takes it. You would be hesitant to receive the vaccine

1310
01:17:48,479 --> 01:17:51,000
Speaker 1: if it were approved by the end of the year,

1311
01:17:51,600 --> 01:17:54,719
Speaker 1: I'm gonna yes, I would be hesitant. I mean, if

1312
01:17:55,400 --> 01:18:00,960
Speaker 1: doctors and scientists like doctor Fauci are taking that vaccine,

1313
01:18:01,040 --> 01:18:03,920
Speaker 1: of course I will take the vaccine. But we also

1314
01:18:04,000 --> 01:18:07,799
Speaker 1: know that we can't trust the president and take his word.

1315
01:18:08,040 --> 01:18:13,240
Speaker 1: I trust vaccines, I trust the scientists, but I don't

1316
01:18:13,240 --> 01:18:17,679
Speaker 1: trust Donald Trump because at this moment, the American people

1317
01:18:17,720 --> 01:18:21,520
Speaker 1: can't either. How is that supposed to work? The President's

1318
01:18:21,560 --> 01:18:26,760
Speaker 1: going to what, He's going to break into the computers

1319
01:18:26,760 --> 01:18:29,559
Speaker 1: of all the scientists at the FDA. He's well, how

1320
01:18:29,640 --> 01:18:31,439
Speaker 1: is that even supposed to happen? How could we have

1321
01:18:31,479 --> 01:18:34,120
Speaker 1: a situation where the President saying this vaccine is safe

1322
01:18:34,840 --> 01:18:36,880
Speaker 1: and the FDA would not have already approved it. It It

1323
01:18:37,000 --> 01:18:40,679
Speaker 1: makes no sense, right. This would be like saying, we're

1324
01:18:40,720 --> 01:18:44,880
Speaker 1: afraid the President is going to do a you know,

1325
01:18:44,920 --> 01:18:50,360
Speaker 1: an air strike on Iran tomorrow, but you know the military,

1326
01:18:50,600 --> 01:18:54,519
Speaker 1: you know, we know the military won't go along with it. Well, okay,

1327
01:18:54,520 --> 01:18:56,200
Speaker 1: but if the military won't do it, then it's not

1328
01:18:56,240 --> 01:18:58,639
Speaker 1: going to happen. So what are they even talking about.

1329
01:18:58,640 --> 01:19:02,320
Speaker 1: They keep saying believe the science without the scientists signing

1330
01:19:02,320 --> 01:19:04,800
Speaker 1: off on this. Trump wouldn't be able to be in

1331
01:19:04,800 --> 01:19:07,840
Speaker 1: a position to tell anybody to take it. And I know,

1332
01:19:07,960 --> 01:19:10,160
Speaker 1: but putting aside for a second that they just love

1333
01:19:10,720 --> 01:19:13,400
Speaker 1: any narrative where he's a moral monster right where he's

1334
01:19:13,600 --> 01:19:16,280
Speaker 1: doesn't doesn't love his own family, doesn't love anyone. It's

1335
01:19:16,280 --> 01:19:19,360
Speaker 1: just as they've created such a such a caricature of

1336
01:19:19,360 --> 01:19:23,360
Speaker 1: this guy, who's a really likable, decent guy. That's part

1337
01:19:23,400 --> 01:19:26,040
Speaker 1: of this that doesn't really get enough attention. But the

1338
01:19:26,080 --> 01:19:28,680
Speaker 1: president's a nice guy. I mean, he's got you know,

1339
01:19:28,720 --> 01:19:30,680
Speaker 1: he throws elbows and he's a tough New York guy

1340
01:19:30,720 --> 01:19:33,040
Speaker 1: in a lot of ways. But you know, he also

1341
01:19:33,120 --> 01:19:36,280
Speaker 1: can be very sympathetic. He's too loyal, I think, to

1342
01:19:36,320 --> 01:19:38,519
Speaker 1: a lot of the people around him. And he's not

1343
01:19:38,640 --> 01:19:41,280
Speaker 1: some some evil monster who wants to eat everyone's babies.

1344
01:19:41,280 --> 01:19:43,960
Speaker 1: I mean, that's not the President of the United States.

1345
01:19:43,960 --> 01:19:46,000
Speaker 1: But you get that sense from the media very clearly.

1346
01:19:46,200 --> 01:19:49,599
Speaker 1: He would lie about a vaccine and put everyone at risk. Really,

1347
01:19:50,200 --> 01:19:52,639
Speaker 1: and how would it even It doesn't even make sense.

1348
01:19:52,840 --> 01:19:56,000
Speaker 1: It's a thing that people who think they're smart but

1349
01:19:56,040 --> 01:19:59,559
Speaker 1: are actually dumb say out loud, there's no way this

1350
01:19:59,680 --> 01:20:03,800
Speaker 1: is a serious consideration or concern at this point. But

1351
01:20:04,400 --> 01:20:09,439
Speaker 1: New York State under Governor Cuomo has already said that

1352
01:20:09,479 --> 01:20:13,240
Speaker 1: they are not going to you know, they're not going

1353
01:20:13,280 --> 01:20:15,479
Speaker 1: to sign off on this in the state of New

1354
01:20:15,560 --> 01:20:19,760
Speaker 1: York where I live right now, unfortunately, until they have

1355
01:20:19,800 --> 01:20:22,040
Speaker 1: their own health experts. So the FDA can't be trusted,

1356
01:20:22,080 --> 01:20:24,000
Speaker 1: but the New York Public Health authorities can. New York

1357
01:20:24,040 --> 01:20:27,000
Speaker 1: public health authorities. We're telling you, hey, go down to

1358
01:20:27,080 --> 01:20:29,759
Speaker 1: the go down to the Chinese Lunar New Year Festival

1359
01:20:29,760 --> 01:20:32,080
Speaker 1: in Chinatown in New York, and you know, make sure

1360
01:20:32,120 --> 01:20:34,200
Speaker 1: you get as close to everybody as possible. They stopped

1361
01:20:34,200 --> 01:20:36,120
Speaker 1: just short of saying, why don't you have some people

1362
01:20:36,120 --> 01:20:38,000
Speaker 1: sneeze in your face and see how that goes for you.

1363
01:20:38,360 --> 01:20:41,320
Speaker 1: That's how stupid and reckless they were in the early

1364
01:20:41,360 --> 01:20:44,400
Speaker 1: stages of the coronavirus outbreak. But now we're supposed to

1365
01:20:44,439 --> 01:20:46,559
Speaker 1: think they're better than the One thing I'll tell you this,

1366
01:20:46,640 --> 01:20:48,840
Speaker 1: the federal government has a lot of flaws, has a

1367
01:20:48,920 --> 01:20:51,879
Speaker 1: lot more money and resources than any state or local agency.

1368
01:20:52,160 --> 01:20:53,840
Speaker 1: When I went from the CIA to working at the

1369
01:20:53,920 --> 01:20:56,720
Speaker 1: NYPD Intel Division, and the Intel Division is the best

1370
01:20:56,720 --> 01:21:01,920
Speaker 1: funded part of the NYPD, It is remarkable. Never forget

1371
01:21:01,960 --> 01:21:03,320
Speaker 1: what I was told. I had to bring my own

1372
01:21:03,360 --> 01:21:06,400
Speaker 1: pens to the office, and they were serious. I said,

1373
01:21:06,400 --> 01:21:07,960
Speaker 1: where's the supply closet. I know, we don't have a

1374
01:21:07,960 --> 01:21:11,200
Speaker 1: supply closet for that, bring your own pens. I thought

1375
01:21:11,200 --> 01:21:13,120
Speaker 1: this was like a new guy thing. Nope, it was real.

1376
01:21:14,040 --> 01:21:18,120
Speaker 1: So the idea that the state health authorities will be

1377
01:21:18,120 --> 01:21:20,000
Speaker 1: better than the FDA to turning the safety of a

1378
01:21:20,040 --> 01:21:27,840
Speaker 1: vaccine is just complete and utter nonsense. And I think

1379
01:21:27,880 --> 01:21:31,800
Speaker 1: we should all understand that up front here. And we

1380
01:21:31,840 --> 01:21:35,479
Speaker 1: shouldn't understand also that they're really trying hard to make

1381
01:21:35,520 --> 01:21:38,160
Speaker 1: sure that people can't hear any alternative points of view,

1382
01:21:38,880 --> 01:21:44,160
Speaker 1: despite the fact, despite the fact that the so called

1383
01:21:44,160 --> 01:21:47,559
Speaker 1: experts have been wrong so many times. Here's the President

1384
01:21:47,640 --> 01:21:51,559
Speaker 1: slamming Governor Cuomo specifically on this issue Place sixteen. So

1385
01:21:51,680 --> 01:21:53,840
Speaker 1: he's going to put together the same group of people

1386
01:21:53,920 --> 01:21:56,280
Speaker 1: probably that he used to put together in the nursing

1387
01:21:56,280 --> 01:21:59,920
Speaker 1: homes where eleven thousand people died because they put heavily

1388
01:22:00,160 --> 01:22:03,640
Speaker 1: infected people in with the general population. Is that the

1389
01:22:03,680 --> 01:22:06,320
Speaker 1: people he's going to use to help us out? Now,

1390
01:22:06,520 --> 01:22:09,240
Speaker 1: it's not. It doesn't work that way. There's a case

1391
01:22:09,880 --> 01:22:14,280
Speaker 1: of a politician that's so sad. We have Johnson and Johnson,

1392
01:22:14,400 --> 01:22:16,880
Speaker 1: Fiz and Madurn at the greatest companies in the world.

1393
01:22:16,920 --> 01:22:19,439
Speaker 1: This has nothing to do with government, and they've come

1394
01:22:19,520 --> 01:22:24,559
Speaker 1: up with incredible vaccines. And when a politician is a

1395
01:22:24,600 --> 01:22:27,920
Speaker 1: real low life, when a politician is willing to say

1396
01:22:27,960 --> 01:22:32,400
Speaker 1: that and kill people and scare people from using something

1397
01:22:32,439 --> 01:22:35,280
Speaker 1: that's going to be great and really solve a big problem,

1398
01:22:35,680 --> 01:22:38,479
Speaker 1: they ought to be ashamed of themselves. I mean, he

1399
01:22:38,600 --> 01:22:41,920
Speaker 1: probably listens to his brother Fredo. You know, Fredo has

1400
01:22:41,960 --> 01:22:46,360
Speaker 1: bad ratings on CNN. He probably listens to Fredo too much.

1401
01:22:48,960 --> 01:22:53,160
Speaker 1: The president ed States calling him Fredo. Wow, here's Fredo

1402
01:22:53,800 --> 01:22:57,439
Speaker 1: talking about the president backing up his brother. I suppose

1403
01:22:57,520 --> 01:23:02,200
Speaker 1: play seven. Where's it getting these people? They're starving? Mister President.

1404
01:23:02,520 --> 01:23:05,439
Speaker 1: We need tests. The more we count, the more we

1405
01:23:05,520 --> 01:23:08,680
Speaker 1: find trouble. You said you'd get more. Where are they?

1406
01:23:08,960 --> 01:23:12,160
Speaker 1: States need help, they need guidance, They're going to you.

1407
01:23:12,760 --> 01:23:15,960
Speaker 1: Where is it? The help that can be offered is

1408
01:23:16,000 --> 01:23:20,320
Speaker 1: being frozen by him. People are afraid to do things

1409
01:23:20,360 --> 01:23:24,800
Speaker 1: they could because he doesn't want them to. Why you

1410
01:23:25,040 --> 01:23:29,080
Speaker 1: have to ask yourself that, now, why isn't he attacking

1411
01:23:29,360 --> 01:23:31,920
Speaker 1: this virus the way he did people who want to

1412
01:23:32,080 --> 01:23:35,679
Speaker 1: enter the country illegally. His best plan in the face

1413
01:23:36,040 --> 01:23:40,000
Speaker 1: of the pandemic moving by any metric, is to attack

1414
01:23:40,080 --> 01:23:44,120
Speaker 1: the man that you trust most at the federal level

1415
01:23:44,320 --> 01:23:47,240
Speaker 1: to fight back. What exactly has Fauci told us that's

1416
01:23:47,240 --> 01:23:50,200
Speaker 1: been useful in the fight against the virus. We see

1417
01:23:50,240 --> 01:23:51,680
Speaker 1: a lot of people get sick. We saw in the

1418
01:23:51,680 --> 01:23:53,680
Speaker 1: early stages in particular, and then again the summer a

1419
01:23:53,720 --> 01:23:55,519
Speaker 1: lot of people every day were dying. What was what

1420
01:23:55,600 --> 01:24:00,599
Speaker 1: was Fauci telling us wear a mask? It was first

1421
01:24:00,600 --> 01:24:01,960
Speaker 1: it was don't wear a mask, and then it was

1422
01:24:01,960 --> 01:24:05,000
Speaker 1: wear a mask, and then it was you know, distant socially,

1423
01:24:05,240 --> 01:24:08,839
Speaker 1: you know the virus is going to spread, you know, however,

1424
01:24:09,479 --> 01:24:13,000
Speaker 1: it's going to spread all over And yeah, okay, so

1425
01:24:13,080 --> 01:24:16,799
Speaker 1: we've heard that. But what was the great oh? Testing

1426
01:24:16,800 --> 01:24:19,120
Speaker 1: and trace? Right? Test and trace that was supposed to

1427
01:24:19,120 --> 01:24:21,559
Speaker 1: be the big thing. Trace fell apart because as I

1428
01:24:21,640 --> 01:24:27,760
Speaker 1: knew just from applying logic to it, that was completely absurd, right,

1429
01:24:27,800 --> 01:24:31,479
Speaker 1: that was that was frankly madness. So trace just was

1430
01:24:31,479 --> 01:24:33,280
Speaker 1: a joke. When you have so many cases, there's no

1431
01:24:33,280 --> 01:24:35,280
Speaker 1: way you're gonna be able to trace anything. And then

1432
01:24:35,280 --> 01:24:39,120
Speaker 1: when you look at testing, you'd say, hold on a second,

1433
01:24:39,520 --> 01:24:42,519
Speaker 1: what exactly has gone on here with the testing that

1434
01:24:42,560 --> 01:24:44,679
Speaker 1: has allowed us to control the virus better? If anything,

1435
01:24:44,720 --> 01:24:48,519
Speaker 1: we just have a lot of cases of low level

1436
01:24:48,600 --> 01:24:51,479
Speaker 1: COVID with minimal to no symptoms that are showing up.

1437
01:24:51,640 --> 01:24:55,120
Speaker 1: And people are looking at the rate of testing right

1438
01:24:55,160 --> 01:24:57,599
Speaker 1: now and they're saying, oh, of positivity, and they're saying,

1439
01:24:57,640 --> 01:24:59,000
Speaker 1: oh my gosh, we need to lock down again. We

1440
01:24:59,000 --> 01:25:01,360
Speaker 1: need to lock down again. The only way through this

1441
01:25:01,439 --> 01:25:03,720
Speaker 1: is for people that are at very low risk to

1442
01:25:03,760 --> 01:25:06,160
Speaker 1: get this clear it and be fine afterwards, just like

1443
01:25:06,200 --> 01:25:08,439
Speaker 1: President Trump, who wasn't even at low risk as we know.

1444
01:25:09,680 --> 01:25:14,599
Speaker 1: But instead they attack the most basic concepts of disease mitigation,

1445
01:25:14,720 --> 01:25:18,280
Speaker 1: like herd immunity, which is what a vaccine is supposed

1446
01:25:18,280 --> 01:25:20,480
Speaker 1: to get you too. And now they're even saying, oh,

1447
01:25:20,600 --> 01:25:24,560
Speaker 1: we a vaccine may not do it, and herd immunity

1448
01:25:24,640 --> 01:25:29,519
Speaker 1: is bad, so let's just keep hiding. This is what

1449
01:25:29,560 --> 01:25:31,600
Speaker 1: public health experts is saying. Doctor Fauci said, don't go

1450
01:25:31,680 --> 01:25:34,040
Speaker 1: be with your family for Thanksgiving. I mean, I think

1451
01:25:34,080 --> 01:25:36,439
Speaker 1: the guy's a jerk, and I've been saying it for

1452
01:25:36,439 --> 01:25:39,640
Speaker 1: a long time. I think he's really a problem, and

1453
01:25:39,720 --> 01:25:43,759
Speaker 1: Trump thinks he's an idiot. Play eighteen. People are tired

1454
01:25:43,800 --> 01:25:46,800
Speaker 1: of COVID. I have to think his rallies I've ever had,

1455
01:25:46,800 --> 01:25:50,719
Speaker 1: and we have COVID. People are saying, whatever, just leave

1456
01:25:50,800 --> 01:25:54,920
Speaker 1: us alone. They're tired of it. People are tired of

1457
01:25:54,960 --> 01:25:59,800
Speaker 1: hearing Cauchy and all these these people, these people that

1458
01:26:00,000 --> 01:26:03,040
Speaker 1: have gotten it wrong. Fauci's a nice guy. He's been

1459
01:26:03,120 --> 01:26:06,040
Speaker 1: hit for five hundred years. He called every one of

1460
01:26:06,040 --> 01:26:10,719
Speaker 1: them wrong, and he's like this wonderful guy, a wonderful stage.

1461
01:26:11,160 --> 01:26:14,760
Speaker 1: And yet we keep him. Every time he goes on television,

1462
01:26:14,760 --> 01:26:17,599
Speaker 1: there's always a bomb, but there's a bigger bomb if

1463
01:26:17,600 --> 01:26:20,519
Speaker 1: you fire him. It's true, It's true. This is what

1464
01:26:20,560 --> 01:26:24,479
Speaker 1: happens with these so called nonpartisan bureaucrat types who get

1465
01:26:24,560 --> 01:26:28,800
Speaker 1: very senior in some federal federal agency. When they are

1466
01:26:28,880 --> 01:26:34,640
Speaker 1: messing up constantly, the idea of firing them becomes politically impossible, unpalatable.

1467
01:26:34,720 --> 01:26:38,600
Speaker 1: You can't fire them. Why, Well, because it looks like

1468
01:26:38,600 --> 01:26:40,760
Speaker 1: you're trying to suppress. Well, what if he's just done

1469
01:26:40,760 --> 01:26:44,160
Speaker 1: a really bad job. Well, they won't believe that. Notice

1470
01:26:44,200 --> 01:26:47,880
Speaker 1: that there's so much anger directed at President Trump. Meanwhile,

1471
01:26:48,200 --> 01:26:50,719
Speaker 1: he's supposed to listen to Fauci, and he has listened

1472
01:26:50,760 --> 01:26:53,679
Speaker 1: to Fauci, but no one on the left. No Democrats

1473
01:26:53,680 --> 01:26:56,040
Speaker 1: are angry at Fauci for his mistakes. There's no way, No,

1474
01:26:56,120 --> 01:26:59,920
Speaker 1: they revere him. He's like a saint. Why is that

1475
01:27:01,000 --> 01:27:03,519
Speaker 1: he was supposed to be the expert here. You know,

1476
01:27:03,680 --> 01:27:07,160
Speaker 1: he's like the accountant, and you know Trump is having

1477
01:27:07,200 --> 01:27:10,280
Speaker 1: tax problems, so to speak. It doesn't the accountant deserve

1478
01:27:10,280 --> 01:27:11,559
Speaker 1: a little bit of blame, I mean, the guy that's

1479
01:27:11,560 --> 01:27:13,640
Speaker 1: supposed to know everything that's going on here. No, of

1480
01:27:13,680 --> 01:27:16,320
Speaker 1: course not. I'm not even saying the majority of blame.

1481
01:27:16,520 --> 01:27:21,479
Speaker 1: Just something. Nope, not allowed. Fauci is beyond reproach. He's

1482
01:27:21,520 --> 01:27:24,320
Speaker 1: practically a saint. And the reason for that is not

1483
01:27:24,400 --> 01:27:27,120
Speaker 1: because he's some genius who saved so many lives. It's

1484
01:27:27,160 --> 01:27:31,600
Speaker 1: because right now it is useful for the Democrats to

1485
01:27:31,760 --> 01:27:35,000
Speaker 1: have a guy who is a clear Democrat. Part is

1486
01:27:35,080 --> 01:27:38,080
Speaker 1: in making sure that everyone is as frightened and depressed

1487
01:27:38,120 --> 01:27:41,160
Speaker 1: about this virus as possible going in the election. That's

1488
01:27:41,200 --> 01:27:47,439
Speaker 1: why he's untouchable. You're in there. This is the Buck

1489
01:27:47,479 --> 01:27:55,920
Speaker 1: Sex and Show podcast. So our Republican majority refused to

1490
01:27:56,040 --> 01:27:59,600
Speaker 1: consider the Supreme Court nominee of a duly elected Democratic

1491
01:27:59,640 --> 01:28:04,719
Speaker 1: president on the supposed principle that the American people should

1492
01:28:04,720 --> 01:28:07,679
Speaker 1: have a voice in selecting their next Supreme Court justice.

1493
01:28:08,600 --> 01:28:11,639
Speaker 1: Now they're moving forward with a Supreme Court nomination while

1494
01:28:11,640 --> 01:28:16,559
Speaker 1: a presidential election is already underway. This is the most rushed,

1495
01:28:17,280 --> 01:28:22,160
Speaker 1: most partisan, least legitimate Supreme Court nomination process in our

1496
01:28:22,240 --> 01:28:26,599
Speaker 1: nation's history, in our nation's entire history, and it should

1497
01:28:26,680 --> 01:28:30,439
Speaker 1: not proceed. Therefore, I will move to adjourn the Senate

1498
01:28:31,280 --> 01:28:35,280
Speaker 1: until after the November third election, with the ability to

1499
01:28:35,320 --> 01:28:38,559
Speaker 1: come back into session if there's a bipartisan agreement on

1500
01:28:38,640 --> 01:28:42,880
Speaker 1: a COVID relief package. Fortunately, Chuck Schumer is not the

1501
01:28:42,920 --> 01:28:48,800
Speaker 1: Senate majority leader. Unfortunately the Constitution says that everything that

1502
01:28:48,840 --> 01:28:51,720
Speaker 1: he says is bogus. Well, that's not a surprise, and

1503
01:28:51,920 --> 01:28:55,000
Speaker 1: it's what we're what we know to expect from good

1504
01:28:55,000 --> 01:28:58,320
Speaker 1: old Chuck Schumer. This will certainly come up on Thursday,

1505
01:28:58,360 --> 01:29:00,960
Speaker 1: when Amy Coney Barrett will be up for her the

1506
01:29:01,080 --> 01:29:03,840
Speaker 1: first beginning, the beginning of this process which I describe

1507
01:29:03,880 --> 01:29:06,559
Speaker 1: you yesterday, where they'll have a vote, and they gotta

1508
01:29:06,600 --> 01:29:08,000
Speaker 1: have the they want to have a vote and they

1509
01:29:08,040 --> 01:29:10,280
Speaker 1: got the closure to stop the fillibuster. Then they got

1510
01:29:10,360 --> 01:29:13,400
Speaker 1: a day of like and in the Senate proceedings. Unless

1511
01:29:13,400 --> 01:29:15,280
Speaker 1: you work in the Senate, it's it's a lot of

1512
01:29:15,439 --> 01:29:17,720
Speaker 1: a lot of people walking around, you know, with teacups

1513
01:29:17,720 --> 01:29:21,519
Speaker 1: in their hands, getting into the minutia. But yeah, you're

1514
01:29:21,520 --> 01:29:24,320
Speaker 1: gonna have something this week for ACB and it looks

1515
01:29:24,320 --> 01:29:28,000
Speaker 1: like by Sunday she'll probably be confirmed, right getting close

1516
01:29:28,080 --> 01:29:31,160
Speaker 1: up against the actual election, almost one week out from

1517
01:29:31,200 --> 01:29:34,200
Speaker 1: the election. And I just think it's funny that Chuck

1518
01:29:34,240 --> 01:29:37,320
Speaker 1: Schumer now is presenting this to us like the Democrats

1519
01:29:37,320 --> 01:29:40,639
Speaker 1: are sending on some high principle here. Now. They lost

1520
01:29:41,200 --> 01:29:43,920
Speaker 1: decisions and elections have consequences. They made a bad decision

1521
01:29:44,120 --> 01:29:47,000
Speaker 1: and they lost. That's what ends up happening in life.

1522
01:29:47,040 --> 01:29:48,760
Speaker 1: That's what's happening to them now, and they're still just

1523
01:29:48,760 --> 01:29:51,679
Speaker 1: complaining about it. I haven't entirely given up the notion

1524
01:29:51,760 --> 01:29:55,600
Speaker 1: that maybe there's some possibility that the Democrats try some

1525
01:29:55,720 --> 01:29:58,599
Speaker 1: last minute thing to do rail and they're gonna try

1526
01:29:58,600 --> 01:30:00,400
Speaker 1: some minor things, but I don't think they're be able

1527
01:30:00,400 --> 01:30:04,439
Speaker 1: to derail it. But it's looking unlikely. It's looking unlikely,

1528
01:30:04,520 --> 01:30:06,360
Speaker 1: and at least the President will be in a position

1529
01:30:06,400 --> 01:30:10,360
Speaker 1: on Thursday to say, hey, not only did we find

1530
01:30:10,400 --> 01:30:12,640
Speaker 1: hunters emails, but it looks like I just got my

1531
01:30:13,520 --> 01:30:15,640
Speaker 1: or I'm about to get It won't be done then,

1532
01:30:15,680 --> 01:30:18,719
Speaker 1: but I'm about to get the third Supreme Court justice

1533
01:30:19,240 --> 01:30:22,840
Speaker 1: appointed by President Trump on the court in his first

1534
01:30:22,880 --> 01:30:25,160
Speaker 1: not even eight years, in his first four years in office.

1535
01:30:25,160 --> 01:30:30,559
Speaker 1: A pretty remarkable circumstance, no way around that. And we'll

1536
01:30:30,600 --> 01:30:33,519
Speaker 1: have to see if that factors in heavily the debate

1537
01:30:33,560 --> 01:30:35,639
Speaker 1: on Thursday, the last debt. Oh, they're gonna be able

1538
01:30:35,640 --> 01:30:38,080
Speaker 1: to mute people. I see in this debate right Who

1539
01:30:38,160 --> 01:30:40,280
Speaker 1: wants to guess right now whether the moderators are gonna

1540
01:30:40,360 --> 01:30:43,360
Speaker 1: mute equally both sides. Who wants to place a bet

1541
01:30:43,360 --> 01:30:46,360
Speaker 1: on that one? I'm pretty confident we're going to see,

1542
01:30:46,400 --> 01:30:49,599
Speaker 1: given who these moderators are, a whole lot of live bias.

1543
01:30:49,680 --> 01:30:51,840
Speaker 1: But I do also believe the Trumpster is gonna fight

1544
01:30:52,040 --> 01:30:57,080
Speaker 1: right through it. Thanks for listening to the Bust. Remember

1545
01:30:57,120 --> 01:31:00,879
Speaker 1: to subscribe on Apple Podcasts, the iHeart Radio for wherever

1546
01:31:00,960 --> 01:31:07,479
Speaker 1: you get your podcasts. The show ain't over yet, folks,

1547
01:31:11,040 --> 01:31:29,080
Speaker 1: keeping it real, It's time for roll call Facebook dot

1548
01:31:29,080 --> 01:31:33,040
Speaker 1: com slash buck Sexton. You know, Producer Mark. You know

1549
01:31:33,040 --> 01:31:35,200
Speaker 1: what I did last night? So I was telling people

1550
01:31:35,200 --> 01:31:36,479
Speaker 1: how to write in But then I would, I thought,

1551
01:31:36,479 --> 01:31:41,360
Speaker 1: Producer Mark. I cooked a chicken breast recipe that I

1552
01:31:41,400 --> 01:31:44,240
Speaker 1: saw on TikTok, and all I had to do was

1553
01:31:44,240 --> 01:31:47,120
Speaker 1: watch the TikTok video a few times and I did

1554
01:31:47,160 --> 01:31:50,920
Speaker 1: a fabulous job. Good for you, thank you. That was

1555
01:31:50,920 --> 01:31:52,960
Speaker 1: like the highlight of my night. I felt pretty proud

1556
01:31:53,000 --> 01:31:55,320
Speaker 1: of that one. I'm glad. How about you, buddy, Anything

1557
01:31:55,320 --> 01:31:59,200
Speaker 1: fun and exciting going on? Oh? Oh? Nothing? Really? You

1558
01:31:59,240 --> 01:32:00,920
Speaker 1: get like a meatball sub last night? Do you at

1559
01:32:00,840 --> 01:32:03,640
Speaker 1: anything cool? Nothing? I just ate the dinner that my

1560
01:32:03,640 --> 01:32:05,720
Speaker 1: wife left for me. What you leave for you? I

1561
01:32:05,720 --> 01:32:08,760
Speaker 1: don't even remember what it was anymore. But we have

1562
01:32:08,760 --> 01:32:13,080
Speaker 1: tacos tonight because of pot roast tacos. Oh tacos. I

1563
01:32:13,160 --> 01:32:16,559
Speaker 1: can't go wrong with tacos exactly. Yeah. I mean, you know,

1564
01:32:16,600 --> 01:32:19,000
Speaker 1: there's there's great tacos, there's good tacos. But as long

1565
01:32:19,000 --> 01:32:22,360
Speaker 1: as you've got shredded cheddar and sour cream, it's always

1566
01:32:22,360 --> 01:32:24,800
Speaker 1: at least good, exactly. It's really what you put on

1567
01:32:24,840 --> 01:32:27,760
Speaker 1: the tacos doesn't really matter what the meat is yeah,

1568
01:32:27,760 --> 01:32:29,919
Speaker 1: because sometimes that tacco meat can be a little suspect.

1569
01:32:29,960 --> 01:32:33,360
Speaker 1: But you know, I'm sure I went with chicken this time. Oh,

1570
01:32:34,479 --> 01:32:37,800
Speaker 1: chopped up chicken breast. I remember they used to give us,

1571
01:32:37,880 --> 01:32:39,519
Speaker 1: and I feel like this has fallen out of favor

1572
01:32:39,520 --> 01:32:41,760
Speaker 1: when I was when I was a schoolboy, back in

1573
01:32:41,800 --> 01:32:44,880
Speaker 1: the day, in grammar school, they would give us sloppy joe's.

1574
01:32:45,960 --> 01:32:47,519
Speaker 1: I feel like no one has I think that that's

1575
01:32:47,520 --> 01:32:49,400
Speaker 1: not really a thing anymore. Does that even eat sloppy

1576
01:32:49,479 --> 01:32:52,920
Speaker 1: joe's anymore? What even are sloppy joes? Like? Does anyone

1577
01:32:52,920 --> 01:32:55,759
Speaker 1: know what meat they are? It's kind of like ground

1578
01:32:55,840 --> 01:32:59,360
Speaker 1: meat with some it's kind of gooey with some spices,

1579
01:33:00,000 --> 01:33:01,680
Speaker 1: and they put it on a hamburger bum but it's

1580
01:33:01,680 --> 01:33:04,120
Speaker 1: not a hamburger. But I remember they used to They

1581
01:33:04,160 --> 01:33:05,960
Speaker 1: used to serve this to us. We had terrible food

1582
01:33:05,960 --> 01:33:07,760
Speaker 1: in my school growing up, and they used to serve

1583
01:33:07,800 --> 01:33:09,120
Speaker 1: this to us all the time. And I remember even

1584
01:33:09,200 --> 01:33:11,639
Speaker 1: then thinking this is not good. I don't know why

1585
01:33:11,640 --> 01:33:14,360
Speaker 1: they're giving us this school food is always awful and

1586
01:33:14,400 --> 01:33:16,679
Speaker 1: you didn't even go to public school. And I also

1587
01:33:16,680 --> 01:33:18,679
Speaker 1: remember meat loaf used to get a really bad rap

1588
01:33:18,720 --> 01:33:20,960
Speaker 1: all the time. You know on shows they say, oh,

1589
01:33:21,040 --> 01:33:23,400
Speaker 1: you know the so you know, oh honey, you made

1590
01:33:23,400 --> 01:33:27,519
Speaker 1: the meat loaf again. Meat loaf can be quite delicious. Actually, yeah,

1591
01:33:27,560 --> 01:33:31,480
Speaker 1: my wife makes a great turkey one stuff with mozzorella cheese.

1592
01:33:31,600 --> 01:33:33,280
Speaker 1: But really, I just learned to brag not only about

1593
01:33:33,280 --> 01:33:35,880
Speaker 1: my cooking skill, but beyond that that. I'm on TikTok

1594
01:33:36,000 --> 01:33:39,080
Speaker 1: and starting to like I've just started. I'm just beginning.

1595
01:33:39,240 --> 01:33:43,439
Speaker 1: Are you making TikTok's No, not yet yet working on that,

1596
01:33:43,600 --> 01:33:46,840
Speaker 1: but in the meantime, I'm definitely, you know, doing what

1597
01:33:46,880 --> 01:33:51,200
Speaker 1: I can to learn about it. And that's where the

1598
01:33:51,240 --> 01:33:53,280
Speaker 1: cool kids are now more. There's a lot of conservatives

1599
01:33:53,320 --> 01:33:56,479
Speaker 1: on there. I'm starting to see that welleah, now that

1600
01:33:56,479 --> 01:33:58,720
Speaker 1: they're forcing a sale of it. If I think people

1601
01:33:58,760 --> 01:34:03,160
Speaker 1: are less concerned about the China needs espionage component. So

1602
01:34:03,360 --> 01:34:05,640
Speaker 1: and the Chinese already have my information because as I

1603
01:34:05,680 --> 01:34:07,559
Speaker 1: work for the federal government and they hacked the OPM,

1604
01:34:07,680 --> 01:34:13,479
Speaker 1: so there was that. Yeah, good times. Alrighty, let's get

1605
01:34:13,520 --> 01:34:18,040
Speaker 1: to the actual roll call and remember Facebook, Facebook dot com,

1606
01:34:18,040 --> 01:34:22,080
Speaker 1: slashbuck Sexton, Team Bucket's Team Bucket, iHeartMedia dot com. If

1607
01:34:22,120 --> 01:34:24,320
Speaker 1: you want to email us or if you want to

1608
01:34:24,320 --> 01:34:28,599
Speaker 1: send an Instagram message, please do Buck Sexton follow me there,

1609
01:34:29,600 --> 01:34:34,559
Speaker 1: Philip right joy byars like the old Queen's babushka wearing

1610
01:34:34,600 --> 01:34:39,040
Speaker 1: a Paisley apron and headscarf, gossiping over the garden fence.

1611
01:34:39,640 --> 01:34:42,559
Speaker 1: If it wasn't for your hilarious impersonations, the use of

1612
01:34:42,560 --> 01:34:45,400
Speaker 1: the View sound bites would be intolerable. If you and

1613
01:34:45,439 --> 01:34:47,880
Speaker 1: other commentators would stop citing them, the View would probably

1614
01:34:47,920 --> 01:34:52,040
Speaker 1: shrivel up and blow away. Thanks for being on shields high, So, Philip,

1615
01:34:52,160 --> 01:34:54,559
Speaker 1: I agree, There's always this part of me that feels

1616
01:34:54,640 --> 01:35:00,280
Speaker 1: like sometimes by citing something to buck slap it, by

1617
01:35:00,280 --> 01:35:04,640
Speaker 1: playing an audio so that we can eviscerate the stupidity,

1618
01:35:05,280 --> 01:35:09,800
Speaker 1: we are giving additional air to that idiocy. But you know,

1619
01:35:09,960 --> 01:35:11,920
Speaker 1: I try to establish limits with this because there are

1620
01:35:11,960 --> 01:35:16,840
Speaker 1: also times. There are also circumstances where you would look

1621
01:35:16,840 --> 01:35:22,240
Speaker 1: at this and say, this is pretty mainstream thinking on

1622
01:35:22,880 --> 01:35:25,800
Speaker 1: the left. I mean, this is actually what a lot

1623
01:35:25,840 --> 01:35:28,200
Speaker 1: of Democrat voters, you know, they watch. I mean, there

1624
01:35:28,200 --> 01:35:30,559
Speaker 1: are millions of people that watch The View every day,

1625
01:35:31,080 --> 01:35:35,240
Speaker 1: and they a majority of them clearly agree with the

1626
01:35:35,320 --> 01:35:37,880
Speaker 1: women on that show, or at least the left wing

1627
01:35:38,800 --> 01:35:41,360
Speaker 1: lean of that show, And since you've asked about of

1628
01:35:41,560 --> 01:35:45,559
Speaker 1: view clips, here is the most famous, most well known

1629
01:35:45,680 --> 01:35:49,040
Speaker 1: of those hosts expressing her feelings on the election. Six.

1630
01:35:50,520 --> 01:35:53,080
Speaker 1: What is he talking about? I'm in a depressing now

1631
01:35:53,120 --> 01:35:56,640
Speaker 1: because I am. Every time I see him, he depresses me.

1632
01:35:56,880 --> 01:35:59,680
Speaker 1: Everything he says is pissing me off and depressing me.

1633
01:36:00,320 --> 01:36:02,639
Speaker 1: I don't know what rocket he's on, but I'm getting

1634
01:36:02,680 --> 01:36:07,719
Speaker 1: off the rocket he's on. That's ridiculous. Uh. Yeah, so

1635
01:36:08,120 --> 01:36:10,559
Speaker 1: she's not happy about Trump a case you couldn't tell.

1636
01:36:11,320 --> 01:36:14,639
Speaker 1: Not a fan, not a fan at all. But yeah,

1637
01:36:14,720 --> 01:36:17,240
Speaker 1: that's sometimes you have to address. I mean, that's like

1638
01:36:17,280 --> 01:36:19,560
Speaker 1: when we when we talk about and WHOOPI Goldberg is

1639
01:36:19,560 --> 01:36:21,240
Speaker 1: a celebrity, I mean a real not like a new

1640
01:36:21,320 --> 01:36:23,639
Speaker 1: TV news celebrity, but she was in movies and she's

1641
01:36:23,640 --> 01:36:27,200
Speaker 1: a Hollywood celebrity. There are other people as well who

1642
01:36:27,240 --> 01:36:30,800
Speaker 1: are not very well informed on politics, and I think

1643
01:36:30,840 --> 01:36:32,760
Speaker 1: say very very foolish things, but they have such a

1644
01:36:32,840 --> 01:36:35,600
Speaker 1: huge following. I always, I always find it remarkable. You know,

1645
01:36:35,640 --> 01:36:41,360
Speaker 1: they'll say, Taylor Swift comes out in favor of Joe Biden. Yeah, great,

1646
01:36:42,479 --> 01:36:44,599
Speaker 1: now you and I know that that means that should

1647
01:36:44,640 --> 01:36:47,719
Speaker 1: mean nothing to a well informed person of good judgment.

1648
01:36:48,120 --> 01:36:51,080
Speaker 1: But Taylor Swift has pretty smart. How many Twitter followers

1649
01:36:51,080 --> 01:36:52,920
Speaker 1: does she have, like a hundred million or something? I

1650
01:36:52,960 --> 01:36:55,240
Speaker 1: think she's a lot Trump probably, Yeah, I think she's

1651
01:36:55,280 --> 01:36:58,559
Speaker 1: more than Trump, you know. Online, She's one of the

1652
01:36:58,760 --> 01:37:05,040
Speaker 1: most famous people in the world. And so when she

1653
01:37:05,080 --> 01:37:07,400
Speaker 1: says something, even if it's coming from a place of

1654
01:37:07,479 --> 01:37:11,640
Speaker 1: being ill informed and being a conformist, really to what

1655
01:37:11,680 --> 01:37:13,639
Speaker 1: the left demands all the time, which is that everybody

1656
01:37:13,720 --> 01:37:17,879
Speaker 1: vote Democrat constantly. Even from that perspective, you have to remember,

1657
01:37:19,040 --> 01:37:20,559
Speaker 1: still gets a lot of people to listen to what

1658
01:37:20,600 --> 01:37:23,160
Speaker 1: she says. And I kind of liked what was the

1659
01:37:23,200 --> 01:37:26,000
Speaker 1: album that she put out maybe five four or five

1660
01:37:26,080 --> 01:37:29,200
Speaker 1: years ago? There was some good I'm not going to

1661
01:37:29,240 --> 01:37:30,920
Speaker 1: sing it to up Proucer Mark because I don't want

1662
01:37:30,920 --> 01:37:32,559
Speaker 1: to say Tuesday and I need you to show up

1663
01:37:32,560 --> 01:37:34,680
Speaker 1: for work the rest of the week, but there was

1664
01:37:34,720 --> 01:37:40,800
Speaker 1: some stuff. You know, my wife loves her her favorite artist. Yeah, no,

1665
01:37:40,960 --> 01:37:44,080
Speaker 1: she looks she says she's a megastar, obviously. And there

1666
01:37:44,160 --> 01:37:47,360
Speaker 1: was another one who's not quite as famous, who this

1667
01:37:47,400 --> 01:37:49,839
Speaker 1: week said that she's coming out in favor of Biden

1668
01:37:49,880 --> 01:37:51,840
Speaker 1: and she doesn't care what it does to her career,

1669
01:37:51,840 --> 01:37:55,960
Speaker 1: which was hilarious. I can't remember. I want to maybe

1670
01:37:55,960 --> 01:37:58,120
Speaker 1: it was Demilovado. Does that sound right? I think it

1671
01:37:58,120 --> 01:38:01,160
Speaker 1: was somebody like that. So somebody his name. You know,

1672
01:38:01,200 --> 01:38:02,800
Speaker 1: if you're like me and you don't really follow pop

1673
01:38:02,880 --> 01:38:04,840
Speaker 1: music today, you have heard the name, but you don't know.

1674
01:38:04,920 --> 01:38:07,439
Speaker 1: I think it was Demilovado anyway. But I just thought

1675
01:38:07,439 --> 01:38:10,240
Speaker 1: that was funny too. The bravery of being a pop

1676
01:38:10,360 --> 01:38:14,320
Speaker 1: musician in America today and saying you're not a Trump supporter?

1677
01:38:14,560 --> 01:38:19,000
Speaker 1: How how brave, fearless and brave? Yes, of course. By

1678
01:38:19,000 --> 01:38:22,720
Speaker 1: the way, Trump and t Swizzle same amounts of Twitter followers,

1679
01:38:22,720 --> 01:38:28,800
Speaker 1: really eighty seven point three million? Look at that? Yeah,

1680
01:38:28,800 --> 01:38:30,200
Speaker 1: but there you go. I mean, the leader of the

1681
01:38:30,240 --> 01:38:35,920
Speaker 1: free world, young lady who's attractive and sings good. That's

1682
01:38:36,200 --> 01:38:40,360
Speaker 1: there you go, same Twitter following. That's that's that's how.

1683
01:38:40,600 --> 01:38:43,960
Speaker 1: That's the world we live in right now, folks. Justin

1684
01:38:45,240 --> 01:38:48,120
Speaker 1: Buck and Mark. I attended the Trump peaceful protest and

1685
01:38:48,360 --> 01:38:51,439
Speaker 1: in Carson City, and I saw a group of guys

1686
01:38:51,439 --> 01:38:54,360
Speaker 1: with a Buck Sexton twenty twenty four shirt. I want

1687
01:38:54,360 --> 01:38:56,080
Speaker 1: to know where I can get my own. Sounds like

1688
01:38:56,080 --> 01:38:58,600
Speaker 1: a solid plan to me. After Trump leads us for

1689
01:38:58,640 --> 01:39:02,600
Speaker 1: the next four years. Shields Hie justin. That's amazing. I

1690
01:39:02,640 --> 01:39:04,400
Speaker 1: didn't even know there was such a T shirt in

1691
01:39:04,400 --> 01:39:09,040
Speaker 1: circulation or that anyone owned one, So please let me

1692
01:39:09,080 --> 01:39:11,400
Speaker 1: know if you find out. I would love to get

1693
01:39:11,479 --> 01:39:13,439
Speaker 1: some of those T shirts for myself to give out

1694
01:39:13,439 --> 01:39:15,360
Speaker 1: to people. I don't think. I think if I wore it,

1695
01:39:15,720 --> 01:39:17,400
Speaker 1: you don't want to be the guy that wears the

1696
01:39:17,439 --> 01:39:19,559
Speaker 1: T shirt of your own band kind of a thing.

1697
01:39:20,160 --> 01:39:24,280
Speaker 1: But did you know about this, producer Mark, No, I didn't.

1698
01:39:25,200 --> 01:39:27,799
Speaker 1: Years ago, some Team Buck folks made a T shirts

1699
01:39:27,840 --> 01:39:31,439
Speaker 1: that said had kind of a screen shot photo of

1700
01:39:31,479 --> 01:39:34,080
Speaker 1: me and said truth Liberty, the Buck sex and show

1701
01:39:34,080 --> 01:39:38,599
Speaker 1: truth Liberty and great hair. So that was that was fun.

1702
01:39:38,640 --> 01:39:41,280
Speaker 1: I'm sure whomever made the shirts are listeners. So if

1703
01:39:41,320 --> 01:39:44,519
Speaker 1: you are, email us at Team Buck at iHeartMedia dot

1704
01:39:44,520 --> 01:39:47,439
Speaker 1: com and I'll get in contact with you. There we go. Yeah,

1705
01:39:47,520 --> 01:39:49,599
Speaker 1: we would. We would love to actually see some photos

1706
01:39:49,640 --> 01:39:51,280
Speaker 1: of this and check it out for ourselves. That would

1707
01:39:51,280 --> 01:39:53,679
Speaker 1: be a lot of fun. Really appreciate the support, guys,

1708
01:39:53,680 --> 01:39:56,280
Speaker 1: I mean, it's what keeps us going on on cold,

1709
01:39:56,360 --> 01:39:59,120
Speaker 1: rainy days in New York City during COVID lockdown at

1710
01:39:59,160 --> 01:40:01,240
Speaker 1: least I got all of you out there across America,

1711
01:40:01,280 --> 01:40:05,439
Speaker 1: and that certainly is very encouraging. And yeah, you know,

1712
01:40:05,600 --> 01:40:08,040
Speaker 1: producer Mark appreciates it too. He wants to give you

1713
01:40:08,080 --> 01:40:09,960
Speaker 1: all a huggle, though he doesn't necessarily put it in

1714
01:40:09,960 --> 01:40:15,160
Speaker 1: those terms, you know, COVID. Yeah, exactly, exactly. It's a

1715
01:40:15,600 --> 01:40:20,240
Speaker 1: safety thing, a safety thing. Next up here, Douglas, Hello,

1716
01:40:20,240 --> 01:40:22,240
Speaker 1: bucking producer Mark. One of the things I like most

1717
01:40:22,240 --> 01:40:25,400
Speaker 1: about the podcast, apart from the group therapy and dealing

1718
01:40:25,439 --> 01:40:28,160
Speaker 1: with this crazy liberal world and I mean crazy, all

1719
01:40:28,200 --> 01:40:30,519
Speaker 1: the other tips and insights. For example, I am totally

1720
01:40:30,600 --> 01:40:33,320
Speaker 1: into smooth jazz now that you got me hooked on Bosh.

1721
01:40:33,479 --> 01:40:36,240
Speaker 1: Thanks Douglas. I really appreciate that. Man. I try to

1722
01:40:36,280 --> 01:40:38,519
Speaker 1: throw things in that aren't just you know, news cycle

1723
01:40:38,560 --> 01:40:42,960
Speaker 1: and political analysis and cultural philosophy and stuff like that.

1724
01:40:43,000 --> 01:40:45,760
Speaker 1: I try to, you know, throw other things in there,

1725
01:40:45,760 --> 01:40:47,800
Speaker 1: just so you might pick something up. I think of

1726
01:40:47,840 --> 01:40:50,760
Speaker 1: all the times people have a lot of things have

1727
01:40:50,840 --> 01:40:53,040
Speaker 1: come from this audience. For me, I've gotten people who

1728
01:40:53,080 --> 01:40:54,759
Speaker 1: have told me to watch a movie or a show,

1729
01:40:55,160 --> 01:40:57,479
Speaker 1: they send me a roll call message, or they just

1730
01:40:57,640 --> 01:41:00,240
Speaker 1: you know, they tweet something at me and I'll check

1731
01:41:00,240 --> 01:41:02,800
Speaker 1: it out I got into I can tell you this

1732
01:41:03,000 --> 01:41:08,160
Speaker 1: Team Buck people got me into Hell on Wheels. Very

1733
01:41:08,160 --> 01:41:13,240
Speaker 1: good show got me into Bosh. Actually very good show,

1734
01:41:15,040 --> 01:41:19,839
Speaker 1: Poll Dark, which I liked. M you know a fair amount,

1735
01:41:20,479 --> 01:41:22,479
Speaker 1: And yeah there are. There are a bunch of shows

1736
01:41:22,520 --> 01:41:24,040
Speaker 1: that I know of only because of people in this

1737
01:41:24,080 --> 01:41:27,040
Speaker 1: audience telling me to watch them. And I think I

1738
01:41:27,080 --> 01:41:29,280
Speaker 1: put a lot of people. I was an early evangelist

1739
01:41:29,280 --> 01:41:31,280
Speaker 1: for the Last Kingdom, so I got a lot of

1740
01:41:31,320 --> 01:41:33,639
Speaker 1: people to watch that show in my life and people

1741
01:41:33,640 --> 01:41:37,960
Speaker 1: that I know. But that also came from somebody a

1742
01:41:38,000 --> 01:41:39,800
Speaker 1: Team Buck told me to watch a lot because I

1743
01:41:39,840 --> 01:41:43,599
Speaker 1: liked the Viking show that was on the History Chant

1744
01:41:43,479 --> 01:41:46,360
Speaker 1: of History Channel, but it got a little weird, and

1745
01:41:46,400 --> 01:41:48,439
Speaker 1: I thought that the first I thought the first season

1746
01:41:49,080 --> 01:41:51,400
Speaker 1: of The Last Kingdom was a better show than the

1747
01:41:51,439 --> 01:41:56,439
Speaker 1: first season of the Viking Show. So if I lined

1748
01:41:56,439 --> 01:42:02,840
Speaker 1: them up side by side, yeah, there we go. Now

1749
01:42:02,920 --> 01:42:10,799
Speaker 1: we have Michael who right, mister Sexton, I'm a sixty

1750
01:42:10,880 --> 01:42:13,719
Speaker 1: year old conservative Democrat. Keyes are listening to your program

1751
01:42:14,320 --> 01:42:17,200
Speaker 1: on ninety eight point nine FM w h y N

1752
01:42:17,200 --> 01:42:21,080
Speaker 1: in Springfield, Massachusetts. Since you were once a spy, what

1753
01:42:21,240 --> 01:42:24,280
Speaker 1: spy authors do you read? If any my favorite is

1754
01:42:24,280 --> 01:42:27,280
Speaker 1: the late Charles McCarry, who was a deep cover deep

1755
01:42:27,320 --> 01:42:31,000
Speaker 1: cover operative back in the day. I also like Alan First,

1756
01:42:31,080 --> 01:42:33,640
Speaker 1: Joseph Cannon, and Daniel Silva. Thanks hey, Michael, thanks so

1757
01:42:33,720 --> 01:42:37,280
Speaker 1: much for listening. And Springfield, mass I know that I

1758
01:42:37,320 --> 01:42:39,920
Speaker 1: know that city reasonly well because that's where when I

1759
01:42:39,920 --> 01:42:41,519
Speaker 1: didn't have a car and had to go to college.

1760
01:42:41,560 --> 01:42:43,559
Speaker 1: That was the place you could take a train to

1761
01:42:43,560 --> 01:42:46,400
Speaker 1: to get to Amherst, Massachusetts. So I know I know Springfield,

1762
01:42:46,439 --> 01:42:51,160
Speaker 1: So shout out for why n And in terms of

1763
01:42:52,240 --> 01:42:53,479
Speaker 1: I think I went to a couple of really good

1764
01:42:53,479 --> 01:42:55,479
Speaker 1: restaurants in Springfield back in the day. I can't remember

1765
01:42:55,520 --> 01:42:58,240
Speaker 1: them now I was like twenty years ago. In terms

1766
01:42:58,240 --> 01:43:03,800
Speaker 1: of CIA books, um Man, I haven't. Since I left

1767
01:43:03,800 --> 01:43:07,360
Speaker 1: the agency, I'm much less interested in that espionage world.

1768
01:43:07,400 --> 01:43:09,519
Speaker 1: I don't really spend as much time reading about it

1769
01:43:09,560 --> 01:43:11,840
Speaker 1: thinking about it as I used to. I'm more into

1770
01:43:11,880 --> 01:43:15,599
Speaker 1: just history now instead of the history of whether it's

1771
01:43:15,600 --> 01:43:20,680
Speaker 1: special operations or espionage and intelligence activities. So I mean, look,

1772
01:43:20,720 --> 01:43:24,120
Speaker 1: I think Tom Clancy is for me still the greatest

1773
01:43:24,240 --> 01:43:28,599
Speaker 1: thriller writer. But I haven't really I haven't really read

1774
01:43:30,320 --> 01:43:32,519
Speaker 1: some of the some of the greats that are out there.

1775
01:43:32,560 --> 01:43:35,200
Speaker 1: I've never read Daniel Silvo, who you write about here,

1776
01:43:36,160 --> 01:43:39,280
Speaker 1: so that so my knowledge on this is limited. I'll

1777
01:43:39,280 --> 01:43:42,200
Speaker 1: tell you honestly, I haven't read a lot of spy thrillers.

1778
01:43:42,760 --> 01:43:46,479
Speaker 1: I know John Leacarey is really really popular, right, Tinker

1779
01:43:46,479 --> 01:43:50,000
Speaker 1: Taylor soldier spy. Vince Flynn is very popular. Vince Flynn

1780
01:43:50,240 --> 01:43:53,560
Speaker 1: is very popular. So I don't know, I haven't. I

1781
01:43:53,800 --> 01:43:56,880
Speaker 1: spend so much of my time reading nonfiction. I really

1782
01:43:56,920 --> 01:43:59,000
Speaker 1: have to make a concerted effort. I have to say,

1783
01:43:59,040 --> 01:44:02,760
Speaker 1: you know what, I'm gonna read some fiction, and it

1784
01:44:02,920 --> 01:44:05,400
Speaker 1: rarely happens for me, but it does happen. Another Team

1785
01:44:05,439 --> 01:44:12,160
Speaker 1: Buck recommendation, uh Gates of Fire by Pressman about the

1786
01:44:12,600 --> 01:44:16,600
Speaker 1: fight at Thermopoli between the Persians and the and the Spartans.

1787
01:44:17,520 --> 01:44:20,719
Speaker 1: Great book, very read. It's a novel, it's a historic

1788
01:44:20,800 --> 01:44:26,200
Speaker 1: it's historical fiction, but super readable, like like a an

1789
01:44:26,240 --> 01:44:28,680
Speaker 1: action movie for your brain. I don't you know, or

1790
01:44:28,720 --> 01:44:30,320
Speaker 1: I guess i'll action. You know what I mean that

1791
01:44:30,400 --> 01:44:32,960
Speaker 1: you have to read instead of watch. So I really

1792
01:44:33,040 --> 01:44:35,080
Speaker 1: enjoyed that one. That also came from someone on the

1793
01:44:35,080 --> 01:44:37,360
Speaker 1: team years ago. So I do I listen to the

1794
01:44:37,400 --> 01:44:43,559
Speaker 1: recommendations that come in all the time you're in. This

1795
01:44:43,640 --> 01:44:49,760
Speaker 1: is the Buck Sex and Show podcast, throwing some more

1796
01:44:49,920 --> 01:44:55,120
Speaker 1: roll call your way. We have JJ who writes in hey, Buck,

1797
01:44:55,160 --> 01:44:57,240
Speaker 1: just a random thought, if there's any justice in the world.

1798
01:44:57,720 --> 01:45:01,960
Speaker 1: The HBO movie about the COVID nineteen pandem doctor Fauci

1799
01:45:02,880 --> 01:45:06,479
Speaker 1: will be played by Gilbert Godfried. Face stipers off and

1800
01:45:06,600 --> 01:45:11,360
Speaker 1: shields high. Well, Gilbert Godfrey, it's more ape like, I

1801
01:45:11,360 --> 01:45:13,679
Speaker 1: can't even really get up there. He has that gravelly

1802
01:45:13,800 --> 01:45:18,360
Speaker 1: but it's his octave is higher. You know. He's obviously

1803
01:45:18,360 --> 01:45:22,559
Speaker 1: a Iago in the Disney the original Disney Aladdin animated film.

1804
01:45:23,120 --> 01:45:24,680
Speaker 1: I don't think I could do with Gilbert Godfrey, and

1805
01:45:24,680 --> 01:45:26,840
Speaker 1: I would probably scratch up my throat trying to do it.

1806
01:45:27,920 --> 01:45:34,080
Speaker 1: So yes, indeed, Michael Foucci doesn't want to be political

1807
01:45:34,160 --> 01:45:37,400
Speaker 1: yet ends up on sixty minutes. Fauci really pisses me off,

1808
01:45:37,720 --> 01:45:40,719
Speaker 1: but Trump talking about him more as a pet really

1809
01:45:40,720 --> 01:45:43,679
Speaker 1: cracks me up. The next time he pulls his TV crap,

1810
01:45:43,760 --> 01:45:45,759
Speaker 1: Trump needs to tell him to report to the Oval

1811
01:45:45,800 --> 01:45:49,439
Speaker 1: Office and bring the published and peer revealed studies he

1812
01:45:49,560 --> 01:45:59,599
Speaker 1: used to support the crap. He shouts, shields high. So yeah, yeah, totally.

1813
01:46:00,680 --> 01:46:03,200
Speaker 1: I look, you know, I've I've been anti Fouch and

1814
01:46:03,200 --> 01:46:05,080
Speaker 1: he's a guy went to my high school. Right, we

1815
01:46:05,080 --> 01:46:07,639
Speaker 1: should have something, if not uncommon, at least a little

1816
01:46:07,680 --> 01:46:11,320
Speaker 1: bit of a bonding point there. But Nope, Nope, I'm

1817
01:46:11,320 --> 01:46:14,240
Speaker 1: sure he'll be He'll be like a Fauci gymnasium. Just

1818
01:46:14,240 --> 01:46:16,479
Speaker 1: give it a few years. There will never be a

1819
01:46:16,560 --> 01:46:20,360
Speaker 1: Buck gymnasium there, no matter how much I do, whatever,

1820
01:46:20,520 --> 01:46:25,000
Speaker 1: whatever my career turns into. Because the Jesuits, some of

1821
01:46:25,000 --> 01:46:26,960
Speaker 1: them are great, most of them are commies, and I'm

1822
01:46:27,000 --> 01:46:28,840
Speaker 1: not I'm not backing off of that one because it's

1823
01:46:28,840 --> 01:46:31,600
Speaker 1: pretty much true. I also think that there are a

1824
01:46:31,640 --> 01:46:36,360
Speaker 1: lot of Catholic leaders who are way, way to sanguine

1825
01:46:37,080 --> 01:46:39,960
Speaker 1: about Catholics voting for a party that, as you know,

1826
01:46:40,160 --> 01:46:45,599
Speaker 1: is openly advocating for things in direct violation of core Catholic,

1827
01:46:45,960 --> 01:46:51,400
Speaker 1: core Catholic beliefs. But conversation for another day. But yeah,

1828
01:46:51,400 --> 01:46:54,240
Speaker 1: I know Fauci's very political. Dennis, Right, you know you're

1829
01:46:54,240 --> 01:46:56,800
Speaker 1: my number one podcast man. I'm a great past the

1830
01:46:56,800 --> 01:46:59,040
Speaker 1: Buck listener, waiting like a trap just to be sprung

1831
01:46:59,360 --> 01:47:01,320
Speaker 1: as soon as someone says, where can I get no

1832
01:47:01,320 --> 01:47:04,760
Speaker 1: nonsense news? And opinion. Bam, Buck Sexton, I shout, and

1833
01:47:04,800 --> 01:47:07,439
Speaker 1: then not only explain not only will you be well

1834
01:47:07,439 --> 01:47:09,960
Speaker 1: informed but thoroughly entertained as well my dear daughter in

1835
01:47:10,040 --> 01:47:12,280
Speaker 1: law's latest jump on board. But how can I continue

1836
01:47:12,280 --> 01:47:14,599
Speaker 1: to pass the buck when you have diss my dearly

1837
01:47:14,600 --> 01:47:18,040
Speaker 1: beloved Fleetwood Mac. Oh no, Dennis, I'm sorry, take it back. Buck.

1838
01:47:18,200 --> 01:47:20,240
Speaker 1: I'll give you pass this time only because of your

1839
01:47:20,280 --> 01:47:22,680
Speaker 1: young age, you have not fully comprehended the complexities of

1840
01:47:22,680 --> 01:47:25,320
Speaker 1: Fleetwood Mac. Thanks for your great work and although mine

1841
01:47:25,400 --> 01:47:28,600
Speaker 1: is a little lower today, Shield tie Dennis, thank you,

1842
01:47:28,640 --> 01:47:31,000
Speaker 1: Shield tie back to you and yeah, yeah, you know

1843
01:47:31,040 --> 01:47:33,479
Speaker 1: what we could strike since you're a big pass the

1844
01:47:33,520 --> 01:47:36,479
Speaker 1: buck person and you're clearly doing God's work with that,

1845
01:47:36,560 --> 01:47:39,040
Speaker 1: and we thank you so much. We can strike my

1846
01:47:39,120 --> 01:47:41,720
Speaker 1: fleet Fleetwood Mac comments from the record. I'm never I'm

1847
01:47:41,760 --> 01:47:44,439
Speaker 1: never backing off of the boss, but we can strike

1848
01:47:44,520 --> 01:47:47,599
Speaker 1: Fleetwood Mac from the record. Thank you. Your first TikTok

1849
01:47:47,640 --> 01:47:50,280
Speaker 1: will be the viral one with the Fleetwood Mac song.

1850
01:47:51,479 --> 01:47:54,000
Speaker 1: There is there is there a Fleetwood Mac TikTok right now. Yeah,

1851
01:47:54,120 --> 01:47:56,200
Speaker 1: there was the guy who was on a skateboard drinking

1852
01:47:56,240 --> 01:48:00,160
Speaker 1: cranberry juice to the Fleetwood Mac Song and Dreams. It's

1853
01:48:00,320 --> 01:48:03,080
Speaker 1: huge everywhere. Now I'd have to check that one out.

1854
01:48:03,400 --> 01:48:06,000
Speaker 1: That's gonna beet a show tonighteen. Please do pass the buck.

1855
01:48:06,080 --> 01:48:08,120
Speaker 1: There's a great time in the height of the election.

1856
01:48:08,120 --> 01:48:10,559
Speaker 1: A lot of people are interested in politics. Somebody asks,

1857
01:48:10,560 --> 01:48:12,719
Speaker 1: where do you get your information? Tell them to download

1858
01:48:12,760 --> 01:48:15,240
Speaker 1: this podcast until tomorrow. Shields High