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Speaker 1: You are entering the freedom Hunt. Oh team, we have

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Speaker 1: a big surprise for you at the top of the

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Speaker 1: show in just a second. Plus breaking news Minneapolis in flames,

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Speaker 1: a police department abandoned to the mob. Also, Trump signs

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Speaker 1: an executive order on social media, and what does the

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Speaker 1: World Health Organization say about masks? Coming up? This is

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Speaker 1: the bus Sexton Show, where the mission or mission is

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Speaker 1: to decode what really matters with actionable intelligence. Make no

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Speaker 1: mistake a great American Again, the Buck Sexon Show begins. Analyst,

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Speaker 1: he's a great guy. No, welcome everybody to the Buck

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Speaker 1: Sexton Show. Thank you very much for joining. It is

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Speaker 1: an honor, a privilege, and a pleasure to bring to

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Speaker 1: you an exclusive interview between yours truly and of course

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Speaker 1: the President of the United States, Donald John Trump, mister President,

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Speaker 1: thank you for joining us. Thank you very much. Buck.

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Speaker 1: It's an honor. So let's just get right to it.

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Speaker 1: We saw the numbers today, and we knew the numbers

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Speaker 1: on the unemployment. We're going to be bad, sir, and

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Speaker 1: people are really concerned. I'm here in New York, you're

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Speaker 1: a fellow New Yorker, but all across the country people

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Speaker 1: are worried about jobs. What do you want to say

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Speaker 1: to the folks who are just beginning to see that

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Speaker 1: the country is reopening, Well, it really is. It's starting,

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Speaker 1: and it's going to start, and I think it's going

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Speaker 1: to get really you know, I've been calling it. You

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Speaker 1: actually wrote it once, and I do watch you, and

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Speaker 1: I think you're terrific. Book. I have to say, hence

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Speaker 1: I talk to you. But I think that you're going

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Speaker 1: to see a transition to greatness. And the transition is

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Speaker 1: going to begin pretty much now. It's already started. If

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Speaker 1: your look at the stock exchanges when you're twenty five

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Speaker 1: thousand plus and we just went through the worst pandemic

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Speaker 1: since nineteen seventeen, over one hundred years, it's pretty amazing.

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Speaker 1: But I think you're going to see some very good

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Speaker 1: numbers coming into the third quarter, and I think the

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Speaker 1: fourth quarter is going to be terrific. And I think

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Speaker 1: next year is going to be a great year. We

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Speaker 1: have a lot of stimulus out there, we have a

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Speaker 1: lot of potential to do things, and I just think

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Speaker 1: you're going to see some really good numbers in I

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Speaker 1: think you're starting to see that right now. And with

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Speaker 1: the governors that are saying that they're going to need

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Speaker 1: additional funding. They're calling for bailouts. I know that you

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Speaker 1: had a meeting with Governor Cuomo recently. How should that

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Speaker 1: be handled? What's your position on what should go on

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Speaker 1: here with the states that do have big budget shortfalls

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Speaker 1: because of the lockdown. Well, there's a big difference if

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Speaker 1: you're talking about then of the pandemic, that's one thing,

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Speaker 1: or if you're talking about twenty five years of bad management,

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Speaker 1: which is really something that some of them are doing.

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Speaker 1: You know, you look at some and we won't use

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Speaker 1: the names of the states, but if you look at

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Speaker 1: some of what's going on, they want to have a bailout,

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Speaker 1: and a lot of Republicans aren't wanting to do a bailout.

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Speaker 1: Now if it's to help over this terrible pandemic released

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Speaker 1: and came right out of China that should have been

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Speaker 1: stopped by China. They could have stopped that, They should

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Speaker 1: have stopped it, that's a different thing. But so we're

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Speaker 1: negotiating and we'll see we're going to take care of

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Speaker 1: this country, but they are. You do have a group

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Speaker 1: of people they want to solve and take care of

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Speaker 1: problems that we're not caused by the pandemic, and that's

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Speaker 1: a different story for anyone joining us in progress. We're

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Speaker 1: talking to the President of the United States, Donald Trump.

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Speaker 1: Mister President. I also wanted to ask about the possibility

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Speaker 1: here of a second way of something you and I

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Speaker 1: spoke about briefly. And there's a lot of concern out

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Speaker 1: there for businesses, for the markets, for people who want

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Speaker 1: to know if they get their job back or they

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Speaker 1: get a new job, they don't want to have to

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Speaker 1: shut it down again or lose that lose another job.

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Speaker 1: So what is your position on what we're facing right now?

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Speaker 1: How are we preparing for the winter, you know, the

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Speaker 1: fall winter flu season. From your perspective, well, the numbers

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Speaker 1: are going down, or we've done everything right. We've done

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Speaker 1: We did the ban on China. We just we then

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Speaker 1: did a ban on Europe last night, as you know,

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Speaker 1: we did a ban on Brazil. Brazil's being hit very,

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Speaker 1: very hard, but we will not be closing the country.

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Speaker 1: We've we've done the right thing. We've gotten to know

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Speaker 1: what we're dealing with, and it's it's very brutal. It's

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Speaker 1: a nasty, horrible disease and it's a shame we have

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Speaker 1: to be doing this. It's a horrible thing that we've

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Speaker 1: lost so many people, but the world has lost so

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Speaker 1: many people. You know, we're one hundred eighty eight one

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Speaker 1: hundred and eighty six or eighty eight countries right now,

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Speaker 1: all fighting it and fighting it, you know, strong. But

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Speaker 1: it's a terrible thing. But we will. You know. I

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Speaker 1: think what we might see as embers, you might see flames,

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Speaker 1: you might see something, and we'll get it out one

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Speaker 1: way the other. We'll get it out, we'll stop it.

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Speaker 1: But the country's going forward. We're going forward, and that's

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Speaker 1: the way it is. We have. Really I consider it

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Speaker 1: even no choice. We have to do it, because you

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Speaker 1: break a country, you break it by doing too much.

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Speaker 1: Of what we did. We did the right thing. If

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Speaker 1: you I'll give you an example. If we didn't do it,

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Speaker 1: I think you would have lost a million and a

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Speaker 1: half to two and a half million people. So that

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Speaker 1: would be fifteen times the number that we lost. It

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Speaker 1: would not have been sustainable acceptable as a leader. It

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Speaker 1: would not have been acceptable. People would have said, what

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Speaker 1: is wrong with him? So we're at one hundred thousand.

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Speaker 1: That was the lower end, and one life is too many.

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Speaker 1: I have to say buck. One life is too many.

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Speaker 1: This should never have happened. But that's at the lower

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Speaker 1: end of the lower models. And you know, it's a

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Speaker 1: terrible thing. But we could have lost one and a

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Speaker 1: half to two and a half million people. So take

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Speaker 1: all of the death you've seen and now multiply at

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Speaker 1: times ten, fifteen or twenty or more, and it would

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Speaker 1: not have been sustainable. You would not have been I

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Speaker 1: think you would have had you would have had riots

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Speaker 1: in the street. Mister President. We've in recent weeks had

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Speaker 1: more information about the targeting of General Flynn, about the

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Speaker 1: lies and the conspiracy around the Russia Gate or Obama

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Speaker 1: Gate and these different versions of essentially the Russia Russia conspiracy.

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Speaker 1: I wanted to know what we should be expecting going forward.

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Speaker 1: Are there more revelations? I mean, Director of National Intelligence

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Speaker 1: acting now departed, Richard Grennell did a fantastic job from

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Speaker 1: a transparency perspective. Are we going to get more transparency

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Speaker 1: because the American people deserve to know what was done

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Speaker 1: to you and what happened to your administration before we

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Speaker 1: go in and look at the next possible election. It

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Speaker 1: should never be allowed to happen again. But what happened

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Speaker 1: to this administration, what happened to General Flynn, what happened

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Speaker 1: to others that are going through it still it should

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Speaker 1: never It was an attempted coup. It was an attempted

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Speaker 1: take down of a duly elected president. Happened to be me,

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Speaker 1: could have been anybody, but you would think we're not

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Speaker 1: a third world country. This was a coup and they

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Speaker 1: got caught, and they've been caught. I think John Ratcliffe

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Speaker 1: is going to do a fantastic job. Bill Barr is

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Speaker 1: doing a terrific job. And I specifically as you know,

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Speaker 1: I mean, you know it, probably better than anybody. I

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Speaker 1: would absolutely have the right to totally get involved. I've

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Speaker 1: chosen not to because I think it's better that if

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Speaker 1: I didn't. I could and I could have, but I've

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Speaker 1: chosen not to. Bill Barr's handling it. Other people are

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Speaker 1: handling it. John Ratcliffe now is fantastic. He'll be involved.

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Speaker 1: But I will say this, I believe you're going to

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Speaker 1: see things that will shock the minds even of the

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Speaker 1: people that were most skeptical. It is an incredible it's

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Speaker 1: I think it's the greatest scandal in the political scandal,

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Speaker 1: certainly in the history of our country. This makes Watergate

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Speaker 1: what they did to us many of us, but what

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Speaker 1: they did to this country makes Watergate look like small potatus.

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Speaker 1: We're speaking to President United States Donald Trump. Mister President,

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Speaker 1: you signed an executive order today having to do with

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Speaker 1: social media platforms and essentially declaring that they cannot have

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Speaker 1: certain protection if they're going to be politically biased, as

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Speaker 1: we saw with the Twitter notification on a recent tweet

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Speaker 1: of yours. First off, I just want to know what

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Speaker 1: would you what do you want to see from these

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Speaker 1: these platforms going forward? Well, I signed, and this has

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Speaker 1: to do with two thirty, but it's it's really more

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Speaker 1: than that. It's really it's a level of power, whether

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Speaker 1: you could almost say it's monopolistic power, but it's very

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Speaker 1: dangerous for our country where you have a few people,

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Speaker 1: where you have an individual, where you have a company

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Speaker 1: that literally is going to call the got of our elections,

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Speaker 1: and they treat us very, very unfairly. You know that

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Speaker 1: from a conservative standpoint, from a Republican standpoint, they treat

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Speaker 1: us so horribly. There are those that say it's an

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Speaker 1: incredible miracle, the miracle of twenty sixteen, because they were

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Speaker 1: very much against us. But now they're insane. They've gone insane,

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Speaker 1: and you look at what's going on, along with some

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Speaker 1: others an all fairness, working with the Democrats, and they're

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Speaker 1: very well aligned with the Democrats, as is the media

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Speaker 1: aligned with the Democrats, with the exception of a small amount.

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Speaker 1: One of the reasons I do call is like this

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Speaker 1: is we have to get our word out and if

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Speaker 1: we didn't, we wouldn't have a chance. But the media

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Speaker 1: the fake I call it the fake news media. As

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Speaker 1: you very well know, the media is disgraceful. They're so dishonest.

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Speaker 1: Not all it. There are some great people, great journalists

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Speaker 1: that I know and I respect, but tremendous amounts of

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Speaker 1: vast majority of the media people have no idea how

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Speaker 1: bad the New York Times is, how bad, how evil,

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Speaker 1: how corrupt. In my opinion, the New York Times is

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Speaker 1: they'll take something that's good and make it sound horrible.

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Speaker 1: The Washington Post, I quote the Amazon Washington Post is

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Speaker 1: just horrible. And you know the interesting thing, if you're

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Speaker 1: a person, you're driving a cab, you're you're a bricklay

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Speaker 1: or a carpenter executive, you read a story, you don't

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Speaker 1: know what's going on. I know what happened. And then

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Speaker 1: I'll read a story and it bears no relationship to

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Speaker 1: the story and they know it. They have phony sources,

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Speaker 1: people that don't exist usually as people. They make them up.

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Speaker 1: It's not like OG. The source wasn't quoted accurately, there

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Speaker 1: was no source. It's phony, phony sources. So I think,

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Speaker 1: you know, this may be better than most buck, but

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Speaker 1: it is incredibly dishonest. So we need an honest media,

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Speaker 1: and we have to call out these platforms, these horrible

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Speaker 1: platforms that have been so biased. I mean on the

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Speaker 1: front page today have the New York Post. They have

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Speaker 1: a man named Yoel Roth and he's the king, I

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Speaker 1: guess of Twitter. He's the judge of what goes on Twitter.

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Speaker 1: And he's a super lefty that will We're just you know,

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Speaker 1: like to your administration and say he's a site Integrity

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Speaker 1: Chief I believe is his title, whatever that means. And

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Speaker 1: you look at his past statements and tweets and you

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Speaker 1: take a look at what he said on social media

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Speaker 1: and it's terrible. And that goes for Facebook. They had

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Speaker 1: the woman who was so atrocious that hearing six months ago.

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Speaker 1: If you remember her, I said, isn't that that same

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Speaker 1: woman called out my son, who's a young He's a

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Speaker 1: very young guy. He's just turned fourteen years old and

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Speaker 1: this was a year a year ago, right, and he

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Speaker 1: is he is just horrendous. And the two other people

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Speaker 1: that facebook a plain, these are horrendous people and there's

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Speaker 1: no fairness with them. So we have to do it

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Speaker 1: the hard way. And that's what I do. I mean,

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Speaker 1: I fight, and I fight for what I know is

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Speaker 1: best for the country. And I want to get your thoughts,

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Speaker 1: mister President, on what's going on right now in Minneapolis.

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Speaker 1: I saw that there's at least reporting of additional not

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Speaker 1: just protests, but additional looting and violence on the streets there,

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Speaker 1: and the mayor is calling for calm. The National Guard

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Speaker 1: has been called in. What are your thoughts on that

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Speaker 1: situation and how does the federal government play a role

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Speaker 1: in calming things down and also achieving justice. It is very,

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Speaker 1: very sad, and we've notified everybody in our in our side.

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Speaker 1: On the federal side, we're very much engaged and working

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Speaker 1: with local law enforcement. That goes from Bill bar the

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Speaker 1: Attorney General, to the FBI, and we're very much involved

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Speaker 1: with that. We want to get to the bottom was

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Speaker 1: a terrible scene. I watched it like everybody else did.

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Speaker 1: That was a horrible thing that I watched. Horrible And

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Speaker 1: I want to also ask before we let you get

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Speaker 1: back to running the country and leading the free world, sir,

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Speaker 1: what you think your chances are right now going up

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Speaker 1: against Joe Biden, who now wears a mask a lot

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Speaker 1: of the time all over the place and his Twitter avatar,

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Speaker 1: and he's certainly making a thing of it. How do

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Speaker 1: you think your competition is shaping up so far? And

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Speaker 1: what are going to be some of the ways that

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Speaker 1: you want to make sure the American people remember why

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Speaker 1: a Trump presidency part two would be very different from

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Speaker 1: a Biden presidency. Well, I think we're going to do

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Speaker 1: very well over the next number of months. You're starting

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Speaker 1: to see the numbers really do well, and he's not

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Speaker 1: for jobs, so you look at what they've done over

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Speaker 1: then look, I'm only here because of Joe Biden and

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Speaker 1: his partner. I'm only here for that reason. Without them,

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Speaker 1: I wouldn't be here. I became president because people were

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Speaker 1: very unhappy China walked away with us. We're doing We're

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Speaker 1: very strong on China and it's had the worst year

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Speaker 1: before the epidemic. Before the pandemic, China had the worst

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Speaker 1: year that they've had in sixty seven years, approximately sixty

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Speaker 1: seven years, because we were being strong for the people

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Speaker 1: of this country with respect to China. But I think this,

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Speaker 1: I think Biden is surrounded by smart people. I think

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Speaker 1: Biden himself is not at all smart. I don't think

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Speaker 1: he knows what's going on. I see tweets come out

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Speaker 1: where they analyze this thing or that thing, or fifteen

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Speaker 1: different events that took place, and they analyze them very brilliantly.

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Speaker 1: But that's not put out by Joe Biden. It's put

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Speaker 1: out by people that are surrounding him wanting to get

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Speaker 1: him into office. He's turned very left, But again I

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Speaker 1: don't even think he's started left. I think it's just

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Speaker 1: that he doesn't know where he is. He's lost. He's

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Speaker 1: a lost sheep. And I see him, I hear him,

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Speaker 1: and I don't know how this man can be president.

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Speaker 1: He's just he just couldn't do it. And then you

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Speaker 1: look at the sun walking away with a billion and

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Speaker 1: a half dollars of money to invest. Enna doesn't do that.

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Speaker 1: They don't do that for the top people. Or you

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Speaker 1: look at what happened with Ukraine with the sun where

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Speaker 1: he ends up making a fortune. This again, I didn't

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Speaker 1: have a job, got thrown out of the services and

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Speaker 1: didn't have a job for a long time, and then

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Speaker 1: he's making millions of dollars a year. You can't have

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Speaker 1: that as your president. I mean, it's just a very

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Speaker 1: sad situation. But you just can't now whether or not

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Speaker 1: it all goes. The Democrats are very powerful. We have

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Speaker 1: some very bad rhinos in our party, and frankly, some

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Speaker 1: of the rhinos, some of the never trumpers, are worse

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Speaker 1: than the Democrats. And you know we've appointed you know

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Speaker 1: this very well. We've appointed two hundred, close to two

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Speaker 1: hundred and seventy five federal judges, including Appello judges, two

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Speaker 1: great Supreme Court judges. It's you know, we're shattering records

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Speaker 1: on judges. You look at that. We've rebuilt the mill,

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Speaker 1: We've cut taxes. We've gotten more regulation cuts than any

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Speaker 1: president in history. And that's done in three and a

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Speaker 1: half years, and some of them went eight years, or

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Speaker 1: in one case more than eight years. Nobody's come close

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Speaker 1: to regulation cuts. I'm protecting the Second Amendment. Joe Biden,

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Speaker 1: you're gonna lose your Second Amendment one hundred percent. We

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Speaker 1: got veterans choice. We took care of our military. But

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Speaker 1: when we rebuilt our military and we took care of

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Speaker 1: veterans choice and also veterans accountability, we're able now to

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Speaker 1: take care of We can fire people in the VA

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Speaker 1: who treat our veterans badly. We can fire them. You

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Speaker 1: couldn't do that because of frankly, the unions and civil service.

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Speaker 1: You couldn't do it. I mean, we've done so much,

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Speaker 1: I don't think and a lot of people nobody dispused

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Speaker 1: me in this probably more in three years than just

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Speaker 1: about any other president in the first three years. So

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Speaker 1: we've done a lot. Hopefully that's going to be good

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Speaker 1: enough because we need the four more years to seed

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Speaker 1: religious liberty, so many other things that we've done that

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Speaker 1: nobody else would do. A thing, all right, to try

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Speaker 1: where somebody who's terminally ill wasn't able to get a

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Speaker 1: drug that looked like it work, you know works, but

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Speaker 1: it wasn't fully tested yet. But they're terminally ill, they're

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Speaker 1: going to die. They've been trying to get it past

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Speaker 1: for forty five years. They couldn't do it. I got

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Speaker 1: it past and by the way, and miracles are taking place.

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Speaker 1: Incredible things are happening. So we've done a lot, Buck,

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Speaker 1: and we have some great support, and we really appreciate

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Speaker 1: your viewpoint is very important to me, very very important.

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Speaker 1: That's how we got to know each other as the president.

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Speaker 1: It's an honor, sir. Thank you so much for calling in.

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Speaker 1: And just can I get you to give some words

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Speaker 1: of support. You're a New Yorker, I'm a New Yorker.

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Speaker 1: You're speaking a lot of New Yorkers right now. We've

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Speaker 1: gone through a tough one. Can you just give us

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Speaker 1: at your closing thoughts on that and then we'll let

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Speaker 1: you get back to running in government. Absolutely. Buck, Look,

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Speaker 1: I'm very sad with what I see in New York.

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Speaker 1: I've known New York. That's where I grew up. That's

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Speaker 1: a place I just love. And when I look at

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Speaker 1: those streets, it looks like they have barren and you've

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Speaker 1: got to open it up. You've got to get going.

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Speaker 1: You've got to just Oh, if you're going to break

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Speaker 1: this city. People are leaving, they're leaving for Florida, they're

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Speaker 1: leaving for other places. The city is going to be broken.

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Speaker 1: It's got to start having signs of life. It's very

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Speaker 1: very sad what they're doing, and they've got to do

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Speaker 1: it really, really quickly and safely. But they have to

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Speaker 1: do something. They can't let this go on because you're

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Speaker 1: going to break the city, mister President. Thank you so much, sir,

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Speaker 1: stay in the fight. We appreciate it. I will thank

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Speaker 1: you very much. Buck, great honor. Thank you well. You

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Speaker 1: heard it from the man himself. Such an honor to

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Speaker 1: get to spend time with him last week in the

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Speaker 1: Oval and just share my thoughts on all the major

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Speaker 1: issues affecting the country right now. It's very kind of

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Speaker 1: him to say that he values my opinion. The guy's

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Speaker 1: got my cell phone number, so he knows he can

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Speaker 1: reach out any time for my most honest and off

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Speaker 1: the record advice about any issue. And I just hope

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Speaker 1: you feel like you enjoyed and got a lot out

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Speaker 1: of hearing from the leader of the free world during

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Speaker 1: a very tumultuous time, that is for sure. Thank you,

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Speaker 1: as always, team for being here with me. We've got

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Speaker 1: a whole bunch more coming up. Thanks for listening to

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Speaker 1: The Bus Sesson Show podcasts. Remember to subscribe on Apple podcasts.

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Speaker 1: The iHeartRadio app or wherever you get your podcasts. Trump

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Speaker 1: issues threats after raging Minneapolis protests. That's the front page.

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Speaker 1: That's the top of the New York Times right now.

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Speaker 1: The issue you see, according to the most prominent liberal

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Speaker 1: paper in the in the country, the ultimate left wing

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Speaker 1: opinion maker, if you will, the problem isn't over a

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Speaker 1: hundred businesses ransacked, looted, many of them lit on fire,

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Speaker 1: burned to the ground. The problem isn't the violence, the

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Speaker 1: hatred against the police. It's not that there are people

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Speaker 1: yelling shoot white people last night, as was played on

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Speaker 1: Tucker Carlson's show on Fox. That's not the problem. The problem,

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Speaker 1: according to The New York Times, the mainstream media and

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Speaker 1: all the rest, is Trump and racism. Of course, but

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Speaker 1: those things go hand in hand. In their mind, Trump

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Speaker 1: is the ultimate symbol of racism to the left. As

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Speaker 1: insane as that is, that's how they view it. They

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Speaker 1: refer to widening demonstrations. This is I have to tell you,

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Speaker 1: this is one of these moments where something happened in

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Speaker 1: the news cycle that I will remember forever. This is

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Speaker 1: going to be one that really sticks out. You add

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Speaker 1: MSNBC's Ali velshiet and it's better if you see the video.

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Speaker 1: But I'll just I want to play the audio for

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Speaker 1: you so you can understand how crazy this is. You

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Speaker 1: have an MSN MSNBC reporter who is standing in front

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Speaker 1: of a blaze, I mean, standing in front of a

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Speaker 1: building that is completely engulfed in flames, and what he

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Speaker 1: decides to say about it is well the following play

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Speaker 1: clip four. I want to be clear and how I

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Speaker 1: characterize this. This is mostly a protest. It is not.

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Speaker 1: It is not generally speaking unruly what fires have been started.

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Speaker 1: It is mostly a protest. He is standing in front

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Speaker 1: of a massive fire, burning down a private business after

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Speaker 1: it had been looted, over a hundred businesses, destroyed, looted, ransacked,

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Speaker 1: people smashing atm machines and cash registers with hammers, running

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Speaker 1: out of stores, arms full of PlayStations and whatever else.

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Speaker 1: But it's a mostly peaceful protest. This is like saying

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Speaker 1: the Lincoln assassination was mostly a theatrical production, or that

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Speaker 1: the Chernobol meltdown was mostly a peaceful collision with sub

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Speaker 1: atomic particles, or perhaps the Bay of Pigs invasion was

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Speaker 1: a mostly sunny day on Cuba's lovely beaches. These people

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Speaker 1: in the left wing media are absurd, They're disgusting, and

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Speaker 1: they are damaging. You know. They often say that Trump

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Speaker 1: is a threat, that Trump is They are damaging the

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Speaker 1: country with what they do and what they say. And

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Speaker 1: there are a few things more cynical and condescending. Let

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Speaker 1: me just say this right now, then, millionaire CNN and

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Speaker 1: MSNBC anchors who live in Calorama mansions or Upper West

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Speaker 1: Side duplexes, pretending that hundreds of businesses burned and looted

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Speaker 1: in Minneapolis is in any way an understandable expression of

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Speaker 1: iCal discontent. It's just it's just grotesque, it really is.

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Speaker 1: Oh yes, this is a this is an expression of outrage. No, no, no,

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Speaker 1: looting and rioting is not an not an expression of outrage.

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Speaker 1: It's looting and rioting. They lit a police station, the

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Speaker 1: third Precinct in Minneapolis. They lit on fire and the mayor,

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Speaker 1: who I mean this is This is another moment in Tommy,

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Speaker 1: you realize what what bad leadership really means. You know,

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Speaker 1: what it means to have people in charge who are

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Speaker 1: just who are just moronic. The mayor abandoned the site.

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Speaker 1: Oh he spoke about it. We can hear him play

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Speaker 1: clip five. Please. After receiving real time information from our

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Speaker 1: Chief Ordondo, and after having numerous phone calls with him

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Speaker 1: regarding the evolving situation at the Third Precinct, it became

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Speaker 1: clear that there were imminent threats to both officers and public,

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Speaker 1: and the danger was The danger became necessary, and I

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Speaker 1: made the decision to evacuate the Third Precinct. The symbolism

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Speaker 1: of a building cannot outweigh the importance of life of

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Speaker 1: our officers or the public. We could not risk serious

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Speaker 1: injury to anyone, and we will continue to patrol the

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Speaker 1: Third Precinct entirely. We will continue to do our jobs

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Speaker 1: in that area. Burning a police precinct to the ground

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Speaker 1: without a fight, that's what happened in Minneapolis. And I'm

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Speaker 1: so sorry for our our wonderful listeners up in Minneapolis.

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Speaker 1: You know KTLK has has put us on in Minneapolis,

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Speaker 1: Saint Paul, and I know a lot of you listening

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Speaker 1: to this right now, You've got to be thinking what

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Speaker 1: comes next, What comes next, what's going to happen to

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Speaker 1: this this city, What's going to happen if the people

427
00:25:27,840 --> 00:25:32,399
Speaker 1: who have a monopoly on violence in the state are

428
00:25:32,440 --> 00:25:34,879
Speaker 1: supposed to have a monopoli and violence, refuse to use

429
00:25:34,920 --> 00:25:39,480
Speaker 1: it to protect law, order, property and safety. They run away.

430
00:25:39,480 --> 00:25:45,000
Speaker 1: They don't want to upset the loaders too much. Minneapolis. Unfortunately, KTLK,

431
00:25:45,240 --> 00:25:49,000
Speaker 1: you're you're finding out right now during these riots. What

432
00:25:49,320 --> 00:25:52,119
Speaker 1: New York has also learned during the COVID lockdown that

433
00:25:52,240 --> 00:25:56,840
Speaker 1: when there's a crisis that requires leadership with resolve, courage,

434
00:25:56,920 --> 00:26:02,760
Speaker 1: and good judgment, week utterly ineffectual far left wing mayor

435
00:26:03,000 --> 00:26:10,040
Speaker 1: is a huge liability that gets people hurt and destroys things.

436
00:26:11,160 --> 00:26:13,720
Speaker 1: Your mayor was not the same way that mayor build

437
00:26:13,760 --> 00:26:15,600
Speaker 1: the Blasio in New York was not up for the

438
00:26:16,520 --> 00:26:21,200
Speaker 1: onslaught of COVID nineteen and the institution of these lockdowns

439
00:26:21,240 --> 00:26:26,719
Speaker 1: and his tyrannical, stupid rules. Your mayor for the up

440
00:26:26,760 --> 00:26:30,200
Speaker 1: for the last here at all. There's probably going to

441
00:26:30,240 --> 00:26:33,560
Speaker 1: be more protests. There were other cities across the country

442
00:26:34,280 --> 00:26:37,000
Speaker 1: that had violent protests. Here in New York there are

443
00:26:37,000 --> 00:26:40,320
Speaker 1: over seventy people arrested. Not too far from where I'm

444
00:26:40,359 --> 00:26:43,560
Speaker 1: doing this show right now, there were protests over George

445
00:26:43,600 --> 00:26:47,560
Speaker 1: Floyd's death, and I would wonder, at what point are

446
00:26:47,600 --> 00:26:51,000
Speaker 1: we allowed to ask even for those who are protesting

447
00:26:51,160 --> 00:26:56,679
Speaker 1: and not us who are rioting, or rioters who are looting.

448
00:26:59,520 --> 00:27:04,880
Speaker 1: What do they want if it's just to express rage? Okay, well,

449
00:27:05,440 --> 00:27:08,639
Speaker 1: what are the outer limits of that? Do they just

450
00:27:08,720 --> 00:27:12,440
Speaker 1: get to set the boundary as they see fit. Is

451
00:27:12,480 --> 00:27:16,880
Speaker 1: there something that they want that's a change in the system.

452
00:27:17,680 --> 00:27:22,960
Speaker 1: Are they really going to pretend that there's a tremendous

453
00:27:23,400 --> 00:27:26,680
Speaker 1: risk of death from law enforcement in the United States

454
00:27:27,280 --> 00:27:32,600
Speaker 1: for anyone, including African American males, because the data shows,

455
00:27:33,880 --> 00:27:39,440
Speaker 1: without any question, that's just not true. Not true. In

456
00:27:39,640 --> 00:27:45,280
Speaker 1: any given year in the United States, you have under

457
00:27:45,400 --> 00:27:52,440
Speaker 1: a hundred local law enforcement involved shootings that are under

458
00:27:52,520 --> 00:27:57,359
Speaker 1: any kind of a suspicious or questionable circumstances when you

459
00:27:57,440 --> 00:27:59,720
Speaker 1: start to dig into the data, and in some years

460
00:27:59,760 --> 00:28:03,040
Speaker 1: it's more like forty or fifty. We're a country of

461
00:28:03,359 --> 00:28:08,240
Speaker 1: three hundred and twenty million people. There are literally millions

462
00:28:08,359 --> 00:28:14,480
Speaker 1: and millions of interactions between civilians and police every year. Now,

463
00:28:14,760 --> 00:28:18,879
Speaker 1: when something bad happens, it should be punished. And this

464
00:28:19,080 --> 00:28:23,280
Speaker 1: looks like an egregious abuse of police power. And that

465
00:28:23,520 --> 00:28:26,720
Speaker 1: has been as close to the consensus opinion on this

466
00:28:26,840 --> 00:28:29,840
Speaker 1: issue as you could find on anything. I have not

467
00:28:30,000 --> 00:28:34,200
Speaker 1: heard a single person of reputation, a single person with

468
00:28:34,320 --> 00:28:37,120
Speaker 1: any kind of voice in public affairs who has expressed

469
00:28:37,160 --> 00:28:42,920
Speaker 1: anything other than horror at George Floyd's death. They've already

470
00:28:43,200 --> 00:28:47,800
Speaker 1: fired these officers. They are going to be facing charges.

471
00:28:48,400 --> 00:28:51,400
Speaker 1: We do have a system in place. What is really

472
00:28:51,480 --> 00:28:55,640
Speaker 1: the expectation that there will never be with the seven

473
00:28:55,760 --> 00:28:58,800
Speaker 1: or eight hundred thousand cops that are on the job

474
00:28:58,880 --> 00:29:03,320
Speaker 1: across the country, no one is going to exceed their

475
00:29:03,680 --> 00:29:06,440
Speaker 1: their lawful authority, that no one's going to engage in

476
00:29:06,560 --> 00:29:09,560
Speaker 1: lethal force now, Rember. There's also there are more granted

477
00:29:09,600 --> 00:29:11,400
Speaker 1: when you add it up on a per capita basis,

478
00:29:11,440 --> 00:29:14,160
Speaker 1: that changes the story a bit. But there are more

479
00:29:14,360 --> 00:29:17,480
Speaker 1: people who are white who are killed by law enforcement

480
00:29:17,560 --> 00:29:21,200
Speaker 1: every year than any other race. So you have more

481
00:29:21,240 --> 00:29:23,080
Speaker 1: white people who are shot by cops every year than

482
00:29:23,400 --> 00:29:25,200
Speaker 1: any other race in the aggregate. Now, of course, the

483
00:29:25,240 --> 00:29:29,680
Speaker 1: African American community is only about thirteen percent overall of

484
00:29:29,800 --> 00:29:36,400
Speaker 1: the population, but and has a disproportionate share of lethal

485
00:29:36,520 --> 00:29:41,560
Speaker 1: encounters with law enforcement. And look, the FBI statistics bring

486
00:29:41,720 --> 00:29:45,200
Speaker 1: up a whole host of other issues about law enforcement

487
00:29:45,360 --> 00:29:51,520
Speaker 1: and disproportionate contact between certain communities and cops, and what

488
00:29:51,600 --> 00:29:54,040
Speaker 1: do we do about all of this. But let's just

489
00:29:54,200 --> 00:29:59,960
Speaker 1: understand with complete clarity across all racial lines, law enforcement

490
00:30:00,320 --> 00:30:03,840
Speaker 1: is not an imminent lethal threat to people in the

491
00:30:03,960 --> 00:30:09,000
Speaker 1: United States, and not even close. Now does that mean

492
00:30:09,120 --> 00:30:11,200
Speaker 1: that bad things never happened and people never get killed?

493
00:30:11,200 --> 00:30:13,120
Speaker 1: Of course not. I told you about the article that

494
00:30:13,240 --> 00:30:16,520
Speaker 1: I wrote. Well, I got a lot of conservative criticism,

495
00:30:16,560 --> 00:30:18,440
Speaker 1: although they were wrong. I was right, so I don't

496
00:30:18,480 --> 00:30:22,320
Speaker 1: really care. But conservatives, some of them, the smart ones,

497
00:30:22,360 --> 00:30:26,920
Speaker 1: didn't criticize me over the Officer Brailsford shooting in Arizona,

498
00:30:27,040 --> 00:30:29,160
Speaker 1: which was just to me, it was just a murder

499
00:30:29,240 --> 00:30:32,880
Speaker 1: caught on camera, and that was some you know, terrified,

500
00:30:33,120 --> 00:30:36,120
Speaker 1: young young white guy who just got got blown away

501
00:30:36,200 --> 00:30:39,440
Speaker 1: by two cops where they are fifteens in a hallway

502
00:30:40,280 --> 00:30:42,120
Speaker 1: and because they were on a power trip. Right, I mean,

503
00:30:42,200 --> 00:30:45,880
Speaker 1: so bad things happen, We get that. But what is

504
00:30:45,960 --> 00:30:50,120
Speaker 1: the point of pretending that what's going on in Minneapolis

505
00:30:50,600 --> 00:30:54,400
Speaker 1: is anything other than a cynical excuse for rage from

506
00:30:55,000 --> 00:31:00,160
Speaker 1: groups of people who are very, very angry and you're

507
00:31:00,200 --> 00:31:06,520
Speaker 1: responsible and in many cases hateful, right, Antifa is on

508
00:31:06,640 --> 00:31:09,320
Speaker 1: the scene, pretend I'm sure they think this is somehow

509
00:31:09,400 --> 00:31:11,640
Speaker 1: a Trump thing. Right. But you know Antifa, which is

510
00:31:12,080 --> 00:31:19,400
Speaker 1: largely you know, white suburban liberals wearing you know, black

511
00:31:19,480 --> 00:31:23,000
Speaker 1: face bandanas and masks and things like this and running

512
00:31:23,040 --> 00:31:28,160
Speaker 1: around causing mayhem. And there are locals, many of whom

513
00:31:28,240 --> 00:31:30,440
Speaker 1: you can see from the videos that are circulating, who

514
00:31:30,440 --> 00:31:33,560
Speaker 1: are African American, who are destroying things and looting things.

515
00:31:33,640 --> 00:31:36,160
Speaker 1: And you know, so there are a whole bunch of

516
00:31:36,240 --> 00:31:39,600
Speaker 1: bad actors at work here. But we should all be

517
00:31:39,880 --> 00:31:44,040
Speaker 1: united in just the condemnation of this. And yet Don Lemon,

518
00:31:44,600 --> 00:31:48,640
Speaker 1: who is you know, a guy that really understands, you know,

519
00:31:48,760 --> 00:31:52,360
Speaker 1: the sense of things on the street anywhere, never mind

520
00:31:52,400 --> 00:31:55,160
Speaker 1: the street in Minneapolis. Yeah, he's really in He's really

521
00:31:55,240 --> 00:31:58,360
Speaker 1: in touch with what it's like for struggling, struggling folks

522
00:31:58,400 --> 00:32:01,480
Speaker 1: out there. Lives in a multimillion dollar mansion on the

523
00:32:01,560 --> 00:32:05,680
Speaker 1: Upper West Side, has a mansion in Bridge I think

524
00:32:05,720 --> 00:32:09,200
Speaker 1: it's Bridgehampton or sag Harbor. Very very fancy in a

525
00:32:09,320 --> 00:32:13,880
Speaker 1: multimillion dollar home there. Yeah, really tough for him. You know,

526
00:32:13,920 --> 00:32:16,080
Speaker 1: he's really in the he's in the struggle. You know,

527
00:32:16,200 --> 00:32:21,640
Speaker 1: Don Lemon understands the economic and financial struggles of folks

528
00:32:22,280 --> 00:32:24,720
Speaker 1: and he but he wants to tell you why people

529
00:32:25,240 --> 00:32:29,360
Speaker 1: are rioting. Let's go to Don Lemon and CNN seeing

530
00:32:29,400 --> 00:32:32,040
Speaker 1: it in such a trash heat play sixteen. If you

531
00:32:33,000 --> 00:32:35,120
Speaker 1: read some of what people are saying, and if you

532
00:32:35,240 --> 00:32:38,440
Speaker 1: watch some of conservative media, you would think people are

533
00:32:38,680 --> 00:32:42,280
Speaker 1: mourning a target when you look at the pictures and

534
00:32:42,480 --> 00:32:46,200
Speaker 1: what they are focusing on. Okay, so people should not

535
00:32:46,320 --> 00:32:49,800
Speaker 1: be rioting. Do you understand what is behind that rioting?

536
00:32:50,200 --> 00:32:54,200
Speaker 1: People should not be looting? Do you understand what's behind

537
00:32:54,320 --> 00:32:58,360
Speaker 1: that looting? Do you have as much outrage for that

538
00:32:59,360 --> 00:33:02,680
Speaker 1: or for a man on the ground with a police

539
00:33:02,720 --> 00:33:05,880
Speaker 1: officer with his knee on his neck for eight nine minutes?

540
00:33:06,440 --> 00:33:09,520
Speaker 1: What are you more outraged by? What matters? More? As

541
00:33:09,600 --> 00:33:12,920
Speaker 1: you said, a highly insured store. No one wants to

542
00:33:12,960 --> 00:33:14,880
Speaker 1: lose their business. Don't get me wrong, and don't twist

543
00:33:14,960 --> 00:33:17,960
Speaker 1: what I'm saying. There's all there's nuance, and I know

544
00:33:18,080 --> 00:33:21,160
Speaker 1: people will say, oh, well, don't say that I'm encouraging riding.

545
00:33:21,280 --> 00:33:23,560
Speaker 1: I'm not encouraging riding. I'm trying to explain to you

546
00:33:24,000 --> 00:33:28,280
Speaker 1: what is going on there. Only sounds like he's looking

547
00:33:28,400 --> 00:33:33,920
Speaker 1: for some rationalization for it. Do I understand what? What

548
00:33:34,400 --> 00:33:36,240
Speaker 1: you know? Maybe we could interview some of the rioters

549
00:33:36,320 --> 00:33:39,920
Speaker 1: and the looters. Why are you doing this because we're upset?

550
00:33:40,000 --> 00:33:41,720
Speaker 1: What about this store? What does the store do to you?

551
00:33:42,040 --> 00:33:45,640
Speaker 1: What do the AutoZone do to you? What do this

552
00:33:45,720 --> 00:33:49,360
Speaker 1: sporting goods store or the Target or whatever it is

553
00:33:49,440 --> 00:33:51,640
Speaker 1: that you're loo What does that place do to you?

554
00:33:52,480 --> 00:33:56,320
Speaker 1: And why do you think breaking the windows, the doors

555
00:33:56,840 --> 00:34:01,200
Speaker 1: and stealing private property? Why do you think that's in

556
00:34:01,360 --> 00:34:06,080
Speaker 1: any way helpful or even symbolic in a way that

557
00:34:06,240 --> 00:34:09,440
Speaker 1: is useful? Did you any want to ask them that question?

558
00:34:09,480 --> 00:34:10,960
Speaker 1: Didn't want to try to come up with an answer? Then,

559
00:34:11,000 --> 00:34:13,440
Speaker 1: of course, what is the rage behind all this? Is

560
00:34:13,480 --> 00:34:17,960
Speaker 1: Minneapolis such a horrible place, so oppressive, no one can

561
00:34:18,040 --> 00:34:21,600
Speaker 1: go outside. You know, we've been through real tyranny from

562
00:34:21,920 --> 00:34:25,759
Speaker 1: law enforcement here for months and there's been not really,

563
00:34:25,880 --> 00:34:28,239
Speaker 1: you know, all that much outrage about it. I mean,

564
00:34:28,320 --> 00:34:30,040
Speaker 1: you know, people telling you you can't leave your home.

565
00:34:30,160 --> 00:34:35,279
Speaker 1: That actually feels like tyranny. So those who suffer, specifically

566
00:34:35,360 --> 00:34:38,759
Speaker 1: from an incident like George Floyd, I can understand, Yeah,

567
00:34:38,800 --> 00:34:42,239
Speaker 1: that's it's horrific that cop, based on what we've seen,

568
00:34:42,320 --> 00:34:44,680
Speaker 1: should go to prison for a very long time. Everyone's

569
00:34:44,680 --> 00:34:46,879
Speaker 1: saying that, But other people just get to say, well,

570
00:34:46,960 --> 00:34:52,000
Speaker 1: I'm angry too, I'm gonna go break things. Nope, it's unacceptable.

571
00:34:54,640 --> 00:34:57,600
Speaker 1: You're in the freedom hunt. This is the Buck Sexton

572
00:34:57,680 --> 00:35:06,440
Speaker 1: Show podcast. Weakness is refusing to take responsibility for your

573
00:35:06,480 --> 00:35:11,439
Speaker 1: own actions. Weakness is pointing your finger at somebody else

574
00:35:11,600 --> 00:35:16,280
Speaker 1: during a time of crisis. Donald Trump knows nothing about

575
00:35:16,400 --> 00:35:20,560
Speaker 1: the strength of Minneapolis. We are strong as hell. Is

576
00:35:20,600 --> 00:35:23,360
Speaker 1: this a difficult time period, yes, but you'd better be

577
00:35:23,480 --> 00:35:27,960
Speaker 1: damned sure that we're gonna get through this. Uh. This

578
00:35:28,120 --> 00:35:30,720
Speaker 1: guy's in no position to be pointing fingers than anybody

579
00:35:30,719 --> 00:35:34,239
Speaker 1: about weakness or strength right now. He called off his

580
00:35:34,719 --> 00:35:37,880
Speaker 1: law enforcement officers. He called off his cops from defending

581
00:35:37,960 --> 00:35:41,000
Speaker 1: their precinct. I mean, how many of you if people

582
00:35:41,000 --> 00:35:43,120
Speaker 1: are running at your home with a Molotov cocktail, would

583
00:35:43,120 --> 00:35:45,560
Speaker 1: you say, Oh, it's just a building. I'm gonna let

584
00:35:45,600 --> 00:35:48,400
Speaker 1: it go. I'm gonna I'm gonna No, I don't think so.

585
00:35:49,120 --> 00:35:53,080
Speaker 1: Not this audience. Cops all armed. They just let them

586
00:35:53,160 --> 00:35:56,799
Speaker 1: burn their their precinct, the third precinct the Minneapolis burned

587
00:35:56,840 --> 00:36:00,280
Speaker 1: down to the ground, and the mayor thinks he's anything

588
00:36:00,280 --> 00:36:04,160
Speaker 1: other than an appalling just joke. It's not funny though,

589
00:36:04,160 --> 00:36:07,080
Speaker 1: of course, thanks for listening to the bus Sex and

590
00:36:07,120 --> 00:36:11,879
Speaker 1: Show podcast. Remember to subscribe on Apple podcast, the iHeartRadio app,

591
00:36:12,080 --> 00:36:15,600
Speaker 1: or wherever you get your podcasts. We're going to see

592
00:36:15,640 --> 00:36:18,000
Speaker 1: the president resort to his We're going to see the

593
00:36:18,040 --> 00:36:22,359
Speaker 1: President resort to his typical techniques of sewing this kind

594
00:36:22,440 --> 00:36:26,040
Speaker 1: of chaos and division, as you mentioned, using the word thugs,

595
00:36:26,680 --> 00:36:29,400
Speaker 1: you know, calling out these protesters. And by the way,

596
00:36:29,440 --> 00:36:32,480
Speaker 1: the President's been late on this situation all week long,

597
00:36:32,960 --> 00:36:36,000
Speaker 1: late to react to the video of what happened in Minneapolis,

598
00:36:36,320 --> 00:36:39,440
Speaker 1: late to react to the protests and the and the unrest.

599
00:36:39,840 --> 00:36:41,680
Speaker 1: You know, we are far past the point where the

600
00:36:41,719 --> 00:36:43,600
Speaker 1: president should be weighing in for the first time on

601
00:36:43,719 --> 00:36:47,000
Speaker 1: these matters. Clearly, the situation's out of control and parts

602
00:36:47,040 --> 00:36:49,920
Speaker 1: of Minneapolis, the city of Minneapolis, is doing a very

603
00:36:49,960 --> 00:36:53,640
Speaker 1: bad job communicating with its own residence right now. Of course,

604
00:36:53,800 --> 00:36:56,200
Speaker 1: under the cover of darkness, we don't know everything that's happening,

605
00:36:56,239 --> 00:36:59,280
Speaker 1: but it is clear there are fires and looted stores

606
00:36:59,320 --> 00:37:02,560
Speaker 1: and broken wind and other disturbances in multiple neighborhoods of

607
00:37:02,640 --> 00:37:05,719
Speaker 1: Minneapolis right now. We'll have to wait until sunrise get

608
00:37:05,760 --> 00:37:08,320
Speaker 1: the full picture. In mid all of this, you have

609
00:37:08,440 --> 00:37:10,560
Speaker 1: to wonder, if you live in Minneapolis right now, do

610
00:37:10,640 --> 00:37:13,360
Speaker 1: you feel any better seeing the President of the United

611
00:37:13,400 --> 00:37:16,080
Speaker 1: States talk the way he's talking on Twitter. I'm gonna

612
00:37:16,120 --> 00:37:18,600
Speaker 1: wager no, Michael, but let's see what the residence of

613
00:37:18,600 --> 00:37:21,239
Speaker 1: Minneapolis say in the morning. I'm really sorry to tab

614
00:37:21,360 --> 00:37:23,480
Speaker 1: that you had to listen to bribe Stelter for such

615
00:37:23,520 --> 00:37:26,319
Speaker 1: a long time. Some of you may have felt your

616
00:37:26,520 --> 00:37:32,000
Speaker 1: estrogen levels rise and spontaneously felt a little bit sick

617
00:37:32,080 --> 00:37:35,120
Speaker 1: in the in the tub tub that. Yeah, I'm sorry, guys,

618
00:37:35,160 --> 00:37:37,960
Speaker 1: I shouldn't we went a little long there. I sent

619
00:37:38,080 --> 00:37:40,600
Speaker 1: that's on me. I sent the clip to a producer Mark,

620
00:37:41,080 --> 00:37:43,800
Speaker 1: So you know, sometimes I forget that. I can't subject

621
00:37:43,880 --> 00:37:46,520
Speaker 1: you to too much Stelter. I'm trying. I need to

622
00:37:46,600 --> 00:37:50,320
Speaker 1: protect your ears, I need to protect your your minds.

623
00:37:50,680 --> 00:37:54,160
Speaker 1: That Jeff Zucker said this, So I said, okay, mister

624
00:37:54,320 --> 00:37:59,080
Speaker 1: Zucker or whatever you'd tell me. Oh, the worst really,

625
00:37:59,160 --> 00:38:02,840
Speaker 1: really and so many ways is the absolute worst host

626
00:38:03,280 --> 00:38:06,279
Speaker 1: on certainly the worst host at CNN. I don't know

627
00:38:06,280 --> 00:38:10,000
Speaker 1: if we could say all Cable News. Um. So so

628
00:38:10,280 --> 00:38:15,439
Speaker 1: there's that, uh, there is that indeed. Um Now let's

629
00:38:15,480 --> 00:38:20,319
Speaker 1: get into where this all goes from here. Uh, let's

630
00:38:20,360 --> 00:38:24,040
Speaker 1: see where this goes the pro Oh wait, I'm sorry.

631
00:38:24,040 --> 00:38:25,840
Speaker 1: I was gonna say, well, what's gonna happen in Minniapolis?

632
00:38:25,880 --> 00:38:28,320
Speaker 1: But who hold on? I got I got stuck. I

633
00:38:28,440 --> 00:38:35,279
Speaker 1: got stuck in the Zuck the Zucker conversation. Uh um,

634
00:38:35,520 --> 00:38:38,160
Speaker 1: But let's let's talk about because you know Zucker Selter,

635
00:38:38,480 --> 00:38:43,399
Speaker 1: they're they're ruining CNN. I mean, Selter's just a little

636
00:38:43,480 --> 00:38:46,719
Speaker 1: little hatchet man. But Jeff Zucker has has destroyed the

637
00:38:46,800 --> 00:38:50,800
Speaker 1: reputation whatever it was, of the the cable news network.

638
00:38:51,040 --> 00:38:53,279
Speaker 1: You know, I listened to the old days from back

639
00:38:53,280 --> 00:38:54,560
Speaker 1: in the old days, and I think they brought it

640
00:38:54,640 --> 00:38:57,440
Speaker 1: back where they had James Earl Jones, one of the greatest.

641
00:38:57,680 --> 00:38:59,600
Speaker 1: And I'm somebody who really spends a lot of time

642
00:38:59,680 --> 00:39:03,239
Speaker 1: thinking about voices because I think it matters. You know,

643
00:39:03,280 --> 00:39:04,480
Speaker 1: if you're gonna spend a lot of time, you know,

644
00:39:04,680 --> 00:39:08,000
Speaker 1: let's end it literally high terrible voice, you're yelling on it.

645
00:39:08,280 --> 00:39:09,840
Speaker 1: That's no fun, right, you don't want to do that.

646
00:39:10,040 --> 00:39:13,440
Speaker 1: Why would you do that? That's that's brutalizing your ears.

647
00:39:13,560 --> 00:39:16,160
Speaker 1: To listen to radio hosts who sound like that. So

648
00:39:17,239 --> 00:39:21,440
Speaker 1: I'm somebody who cares about one's voice when you're listening,

649
00:39:21,719 --> 00:39:23,680
Speaker 1: and James Earl Jones has one of the greatest voices

650
00:39:23,680 --> 00:39:25,360
Speaker 1: of all time, and he does that. This is I

651
00:39:25,719 --> 00:39:27,279
Speaker 1: can't even I'm not even gonna pretend to do it,

652
00:39:27,320 --> 00:39:29,480
Speaker 1: because it's his version is so much better than anyone

653
00:39:29,520 --> 00:39:32,160
Speaker 1: that I could do. But this is CNN. You know,

654
00:39:32,680 --> 00:39:36,040
Speaker 1: it did. It was always liberal, but it used to

655
00:39:36,120 --> 00:39:40,560
Speaker 1: be an organization that at least felt some obligation to

656
00:39:40,880 --> 00:39:46,480
Speaker 1: pretend it could show respect or at least platform the

657
00:39:46,680 --> 00:39:49,480
Speaker 1: other side a little bit into me. And now that's

658
00:39:49,560 --> 00:39:52,279
Speaker 1: that's all gone, and that's all just a complete joke.

659
00:39:52,360 --> 00:39:54,600
Speaker 1: And that's why I mean the focus here from Stelter

660
00:39:55,239 --> 00:39:58,840
Speaker 1: that a Trump is so slowly the process that a

661
00:39:59,000 --> 00:40:02,959
Speaker 1: Trump is it, Hold on a second, how is Donald

662
00:40:02,960 --> 00:40:07,239
Speaker 1: Trump slow? I just had the president interview and and

663
00:40:07,480 --> 00:40:10,000
Speaker 1: we we talked about this and he's like, it's a

664
00:40:10,040 --> 00:40:12,040
Speaker 1: horrible situation. And by the way, I'll agree with you.

665
00:40:12,120 --> 00:40:14,160
Speaker 1: You know why I can't do Trump impressions because I

666
00:40:14,880 --> 00:40:18,439
Speaker 1: have too much respect for the man. And that's it's

667
00:40:18,480 --> 00:40:20,840
Speaker 1: just it's my heart's not in it. That's the problem.

668
00:40:20,920 --> 00:40:23,000
Speaker 1: My heart's not because everyone else I've been able to

669
00:40:23,040 --> 00:40:24,919
Speaker 1: get a look at my Cuomo that's come out of nowhere.

670
00:40:25,000 --> 00:40:28,239
Speaker 1: People love the Cuomo in presidentation. Why why? It is

671
00:40:28,239 --> 00:40:30,840
Speaker 1: a little bit like Christopher Walkin. But it's it's like

672
00:40:30,920 --> 00:40:33,239
Speaker 1: if Christopher Walkin was kind of more thuggish and dumb.

673
00:40:33,520 --> 00:40:37,920
Speaker 1: Oh thuggish, you're you're not allowed to say. And by

674
00:40:37,920 --> 00:40:39,520
Speaker 1: the way, I don't I think chrisoph walking is probably

675
00:40:39,520 --> 00:40:42,759
Speaker 1: a nice guy. But you can't say thug. We've seen

676
00:40:42,840 --> 00:40:45,920
Speaker 1: that again from Stelton. Are the president fash thugs? We're

677
00:40:45,960 --> 00:40:48,920
Speaker 1: gonna do this again. We're gonna do this again. We're

678
00:40:48,920 --> 00:40:51,160
Speaker 1: gonna pretend that there are words that we can't use

679
00:40:51,239 --> 00:40:57,520
Speaker 1: to describe. If if someone who is a white ANTIFA

680
00:40:57,680 --> 00:41:01,640
Speaker 1: member runs up to US store and breaks in the

681
00:41:01,760 --> 00:41:05,319
Speaker 1: window and throws in a Moltiv cocktail, that person can

682
00:41:05,440 --> 00:41:10,799
Speaker 1: be accurately described as a thug. If an African American

683
00:41:11,640 --> 00:41:15,320
Speaker 1: runs into a store with you know, a bandana on

684
00:41:15,440 --> 00:41:19,520
Speaker 1: his face or around his face and steals something after

685
00:41:19,600 --> 00:41:22,319
Speaker 1: breaking the window, that person can be referred to as

686
00:41:22,400 --> 00:41:27,160
Speaker 1: a thug. A thug is a reference irrespective of one's

687
00:41:27,600 --> 00:41:31,239
Speaker 1: ethnic background, or religion or anything else. It's it's a

688
00:41:31,440 --> 00:41:36,399
Speaker 1: reference to bad conduct and it is applicable across the board.

689
00:41:36,480 --> 00:41:38,120
Speaker 1: And this is also where for those of you, in

690
00:41:38,200 --> 00:41:41,960
Speaker 1: case you do not know, the word thug has a

691
00:41:42,080 --> 00:41:46,040
Speaker 1: very interesting derivation. It comes from the period of British

692
00:41:46,120 --> 00:41:50,080
Speaker 1: colonial rule in India. So if anyone should be upset

693
00:41:50,120 --> 00:41:52,279
Speaker 1: about the usage of the term thug, you would think

694
00:41:52,360 --> 00:41:55,960
Speaker 1: it would be Indians, and I mean that in the

695
00:41:56,280 --> 00:42:00,800
Speaker 1: proper sense of people from South Asia, Indians who have

696
00:42:00,920 --> 00:42:06,960
Speaker 1: had this term appropriated from the original Hindu thugi and

697
00:42:07,520 --> 00:42:10,239
Speaker 1: it referred to a death cult. And for those of

698
00:42:10,280 --> 00:42:13,400
Speaker 1: you that are wondering, what do we know about this

699
00:42:13,480 --> 00:42:15,600
Speaker 1: death cauld And though the word initially meant one who

700
00:42:15,680 --> 00:42:19,279
Speaker 1: was a one who engaged in deception, and they were

701
00:42:19,320 --> 00:42:24,400
Speaker 1: a strangulation cult during the period of the British of

702
00:42:24,480 --> 00:42:28,880
Speaker 1: the British control of India, and the Brits actually got

703
00:42:29,040 --> 00:42:30,840
Speaker 1: rid of them in the in the nineteenth century. The

704
00:42:30,920 --> 00:42:35,279
Speaker 1: Brits tracked them down and they they worshiped a god

705
00:42:35,320 --> 00:42:37,960
Speaker 1: of death. I believe, I actually don't remember the name

706
00:42:38,000 --> 00:42:40,640
Speaker 1: of the god of death. But if you've seen Indiana

707
00:42:40,760 --> 00:42:45,920
Speaker 1: Jones and the Temple of Doom, that group that does

708
00:42:46,000 --> 00:42:48,719
Speaker 1: the you know, we must drink the blood of the

709
00:42:48,800 --> 00:42:50,759
Speaker 1: Kalima and all that stuff, right, and the guy like

710
00:42:50,880 --> 00:42:52,920
Speaker 1: rips the heart out of the chest, and the flame

711
00:42:53,000 --> 00:42:55,799
Speaker 1: pit and all that. The lava pit not well flames lava.

712
00:42:56,920 --> 00:42:59,040
Speaker 1: Indiana Jones. The Temple of Doom, I think is clearly

713
00:42:59,080 --> 00:43:02,600
Speaker 1: the worst of the Indiana Jones. There's only three movies

714
00:43:02,640 --> 00:43:05,239
Speaker 1: in the trilogy. If you tell me Shia La buff

715
00:43:05,320 --> 00:43:09,000
Speaker 1: was in an Indiana Jones movie, you have you have

716
00:43:09,120 --> 00:43:11,359
Speaker 1: made a mistake. We just we just wave our hand

717
00:43:11,400 --> 00:43:14,200
Speaker 1: and say, no, there was no Kingdom of the Crystal Skull.

718
00:43:14,640 --> 00:43:16,680
Speaker 1: Do you agree with me, Producer Mark, that the Temple

719
00:43:16,760 --> 00:43:19,279
Speaker 1: of Doom is the worst of the three? Oh? Yes,

720
00:43:19,360 --> 00:43:21,640
Speaker 1: I do agree with that. See, I like what I

721
00:43:21,640 --> 00:43:23,520
Speaker 1: can get Producer Mark to actually agree with me on things.

722
00:43:23,920 --> 00:43:26,840
Speaker 1: I won't ask you if if Raiders of Last Ark

723
00:43:26,920 --> 00:43:29,440
Speaker 1: or Last Crusade is the best, because I think that's

724
00:43:29,480 --> 00:43:32,480
Speaker 1: a tough call. I think it's a little bit like saying,

725
00:43:33,160 --> 00:43:36,640
Speaker 1: you know who who wins in a fight? Uh, you know,

726
00:43:37,239 --> 00:43:40,239
Speaker 1: Wolverine or the Incredible Hulk. Call, I guess probably the

727
00:43:40,280 --> 00:43:45,080
Speaker 1: Incredible Hulk, right, The Hulk wins that one? Right? Yeah, Yeah,

728
00:43:45,120 --> 00:43:46,880
Speaker 1: this is some of the I'm just this is a

729
00:43:46,960 --> 00:43:49,399
Speaker 1: total digression, but it's Friday, so I feel like I'm

730
00:43:49,400 --> 00:43:56,520
Speaker 1: allowed to have digressions. Some of the Avengers, I feel

731
00:43:56,520 --> 00:43:58,520
Speaker 1: like they're true superheroes, and some of them, I'm like,

732
00:43:58,960 --> 00:44:02,040
Speaker 1: why is this person that's superhero? You know, there's like

733
00:44:02,120 --> 00:44:06,080
Speaker 1: a there's a guy who's got like a metal wings

734
00:44:06,160 --> 00:44:07,960
Speaker 1: he flies around with him on or whatever. I'm like,

735
00:44:08,040 --> 00:44:10,479
Speaker 1: you're a superhero. You're a guy that has really cool

736
00:44:11,120 --> 00:44:13,200
Speaker 1: military equipment. I don't know if that makes you and

737
00:44:13,280 --> 00:44:15,279
Speaker 1: the other guy who's really good with the bow and arrow.

738
00:44:15,760 --> 00:44:18,759
Speaker 1: I'm sorry, I've I've actually fired many many a bow

739
00:44:18,800 --> 00:44:22,880
Speaker 1: and arrow, and you'd much rather have a gun. I

740
00:44:22,960 --> 00:44:26,800
Speaker 1: can tell you that, right, I don't really have guns

741
00:44:26,840 --> 00:44:29,680
Speaker 1: in the in the Marvel Cinematic universe. Well, you know,

742
00:44:29,880 --> 00:44:33,120
Speaker 1: a laser then or something like that. And the reason

743
00:44:33,160 --> 00:44:35,440
Speaker 1: I think you're referring to iron Man with the wings

744
00:44:35,480 --> 00:44:37,520
Speaker 1: and no, no, no, no, no, no, iron Man's cool,

745
00:44:37,600 --> 00:44:39,920
Speaker 1: Tony Stark is a great iron Man would literally be

746
00:44:40,000 --> 00:44:45,120
Speaker 1: the definition of somebody who doesn't technically have superhowers. He

747
00:44:45,280 --> 00:44:47,359
Speaker 1: built it, but his suit is really cool. I'm talking

748
00:44:47,360 --> 00:44:49,840
Speaker 1: about the guy. I think his name is Falcon. No,

749
00:44:51,000 --> 00:44:53,759
Speaker 1: his name's Escaping Men's and not Falcon. No, it's not

750
00:44:54,719 --> 00:44:58,080
Speaker 1: a producer. Nick might weigh in here, but it's anyway,

751
00:44:58,120 --> 00:45:00,880
Speaker 1: he's I saw him and went to Soldiers See producer.

752
00:45:00,920 --> 00:45:02,560
Speaker 1: Mark convinced me to actually watch some of these movies.

753
00:45:02,560 --> 00:45:07,320
Speaker 1: I watched win Her Soldier's Hawkeye Hawkeye hawk Eye. Oh no,

754
00:45:07,440 --> 00:45:09,239
Speaker 1: that's the bow and arrow guy. Yeah, Falcon is the

755
00:45:09,320 --> 00:45:11,120
Speaker 1: guy with the wings. I'm right, Falcon is the guy

756
00:45:11,160 --> 00:45:12,480
Speaker 1: with the wings, hawk eyes, the guy with the bow

757
00:45:13,040 --> 00:45:14,920
Speaker 1: hawk eyes, the guy couldn't remember. Yeah, I mean, come on,

758
00:45:15,360 --> 00:45:18,200
Speaker 1: you run around with a bow. You got like monster

759
00:45:18,360 --> 00:45:21,279
Speaker 1: alien people that are blowing up worlds in space, and

760
00:45:21,360 --> 00:45:22,960
Speaker 1: you're gonna send the dude after them with a bow

761
00:45:23,040 --> 00:45:25,520
Speaker 1: and arrow. I mean, is he gonna like crawl up

762
00:45:25,560 --> 00:45:27,719
Speaker 1: a tree, stand first, and you know, put out some

763
00:45:28,480 --> 00:45:30,239
Speaker 1: make sure he's got the right camo on. I mean,

764
00:45:30,280 --> 00:45:32,520
Speaker 1: this is a surch I mean, it's like extreme bone arrow.

765
00:45:32,560 --> 00:45:36,120
Speaker 1: It's like bone arrow with superpowers. Yeah. I don't know

766
00:45:36,120 --> 00:45:38,920
Speaker 1: about that. And it's it's supposed to not be realistic.

767
00:45:39,960 --> 00:45:43,560
Speaker 1: It's a superhero movie. I just I just hope that

768
00:45:43,719 --> 00:45:46,560
Speaker 1: the uh, the Motor City Madman doesn't hear me talking

769
00:45:46,640 --> 00:45:50,000
Speaker 1: smack about bow and arrows. For superheroes. He's gonna be

770
00:45:50,000 --> 00:45:51,360
Speaker 1: like Buck, I'll show you we can do with a

771
00:45:51,360 --> 00:45:56,760
Speaker 1: bow and arrow. Um. Anyway, so where I completely derailed

772
00:45:56,840 --> 00:45:58,719
Speaker 1: us here for a second. Oh so I'm making fun

773
00:45:58,760 --> 00:46:02,120
Speaker 1: of Brian Stelterer thug cult Indiana Jones Temple of Doom

774
00:46:02,120 --> 00:46:03,960
Speaker 1: if you didn't know, that's where that's believed to where

775
00:46:03,960 --> 00:46:07,200
Speaker 1: it comes from. Yeah, they used to strangle people travelers

776
00:46:07,239 --> 00:46:08,759
Speaker 1: in the side of the road and they believe that

777
00:46:08,840 --> 00:46:14,120
Speaker 1: it was for their their god of death, and it was.

778
00:46:14,160 --> 00:46:16,600
Speaker 1: They're really a bad bunch. Some estimates where they killed

779
00:46:16,680 --> 00:46:19,000
Speaker 1: up to I think it was a million people over

780
00:46:19,080 --> 00:46:23,680
Speaker 1: the course of the nineteenth century, So bad stuff. Anyway,

781
00:46:23,920 --> 00:46:26,960
Speaker 1: Thug is not a racist term, and they're going to

782
00:46:27,040 --> 00:46:29,359
Speaker 1: say that, They're going to pretend that this is now

783
00:46:29,480 --> 00:46:33,719
Speaker 1: just because they want to. Look. The media benefits, The

784
00:46:33,920 --> 00:46:39,840
Speaker 1: left wing Democrat media benefits from narratives of racial division

785
00:46:40,160 --> 00:46:43,640
Speaker 1: because they position themselves the people who have the platforms,

786
00:46:43,680 --> 00:46:46,719
Speaker 1: who work for the legacy media outlets, They position themselves

787
00:46:46,880 --> 00:46:51,200
Speaker 1: as the truth tellers. They positioned themselves as the not

788
00:46:51,480 --> 00:46:56,000
Speaker 1: racist people, of course, and they are also by all

789
00:46:56,080 --> 00:47:02,439
Speaker 1: of their acts of you know, on air penance they're

790
00:47:03,120 --> 00:47:05,920
Speaker 1: addressing their their own For the ones who are white,

791
00:47:06,680 --> 00:47:09,399
Speaker 1: they're addressing their white privilege in real time on TV.

792
00:47:11,400 --> 00:47:13,480
Speaker 1: This is you know the problem with with so much

793
00:47:13,520 --> 00:47:15,239
Speaker 1: of this is that I can assure you this will

794
00:47:15,280 --> 00:47:18,760
Speaker 1: all lead to nothing but destruction and angst and misery,

795
00:47:19,280 --> 00:47:23,200
Speaker 1: and then we'll be forgotten. It's just a question now

796
00:47:23,360 --> 00:47:28,040
Speaker 1: of how large the toll is, what the cost really

797
00:47:28,120 --> 00:47:31,640
Speaker 1: ends up being, and hopefully no one loses their lives

798
00:47:31,760 --> 00:47:36,760
Speaker 1: in the protest that will come. But this expression of rage,

799
00:47:36,800 --> 00:47:40,040
Speaker 1: as they're calling it, does not result in better policies,

800
00:47:40,120 --> 00:47:44,840
Speaker 1: does not result in the police doing their jobs differently,

801
00:47:44,960 --> 00:47:49,640
Speaker 1: because there's always going to be the possibility of one

802
00:47:50,320 --> 00:47:54,440
Speaker 1: bad officer. There's always going to be someone who is

803
00:47:54,560 --> 00:47:57,880
Speaker 1: evil who in any organization. They're evil people in media,

804
00:47:58,120 --> 00:48:01,880
Speaker 1: I guess start naming some names people. Now, they haven't

805
00:48:02,120 --> 00:48:04,440
Speaker 1: killed anybody that I know of. Well, let me think

806
00:48:04,440 --> 00:48:07,320
Speaker 1: about that. Well, yeah, they haven't killed anybody that I

807
00:48:07,440 --> 00:48:13,120
Speaker 1: know of. But they're bad human beings and that's never

808
00:48:13,239 --> 00:48:16,480
Speaker 1: going to change. So if you have this expression of

809
00:48:16,520 --> 00:48:21,680
Speaker 1: outrage and you don't have some ask or request or

810
00:48:21,840 --> 00:48:24,320
Speaker 1: demand or however you want to phrase it, you know,

811
00:48:24,440 --> 00:48:26,640
Speaker 1: what do you want to go differently. Here, this guy

812
00:48:26,800 --> 00:48:31,320
Speaker 1: is facing charges. He will likely spend the rest of

813
00:48:31,520 --> 00:48:36,279
Speaker 1: his life or close to it in a cell. No

814
00:48:36,560 --> 00:48:38,600
Speaker 1: cop that I've heard talking about this has said anything

815
00:48:38,640 --> 00:48:42,839
Speaker 1: other than this is terrible and awful. And a lot

816
00:48:42,920 --> 00:48:47,880
Speaker 1: of us watching that video of George Floyd, we're thinking,

817
00:48:48,560 --> 00:48:51,359
Speaker 1: if only I could have been there, maybe I could

818
00:48:51,400 --> 00:48:54,399
Speaker 1: have convinced the officer in time, or maybe I could

819
00:48:54,440 --> 00:48:57,440
Speaker 1: have even thrown myself into the scene and push the

820
00:48:57,560 --> 00:48:59,239
Speaker 1: officer off him, just to get him en off air,

821
00:48:59,280 --> 00:49:01,680
Speaker 1: to keep him alive. You get arrested for that, obviously,

822
00:49:01,760 --> 00:49:03,960
Speaker 1: but it would have been that would have been the

823
00:49:04,080 --> 00:49:07,200
Speaker 1: moral thing to do in those circumstances. That would have

824
00:49:07,320 --> 00:49:13,400
Speaker 1: been righteous and courageous. That's that's how evil that action

825
00:49:13,480 --> 00:49:16,160
Speaker 1: by that law enforcement officer was. You breaking the law

826
00:49:16,280 --> 00:49:20,160
Speaker 1: to stop him would have been the righteous thing. But

827
00:49:20,320 --> 00:49:24,720
Speaker 1: burning down the buildings of innocent people, the businesses, destroying property,

828
00:49:25,120 --> 00:49:28,640
Speaker 1: throwing rocks and assaulting police officers who are just doing

829
00:49:28,719 --> 00:49:32,840
Speaker 1: their jobs, throwing mollets off cocktails at them, that's unjust.

830
00:49:32,920 --> 00:49:35,919
Speaker 1: It's immoral, and the media should speak with one voice

831
00:49:35,960 --> 00:49:38,200
Speaker 1: and the condemnation of this and not do this whole

832
00:49:38,280 --> 00:49:42,719
Speaker 1: game of well, sure, riots and looting is bad, but

833
00:49:42,960 --> 00:49:45,480
Speaker 1: I can kind of understand why this is happening. And

834
00:49:45,520 --> 00:49:48,160
Speaker 1: then oh, let's talk about the history of racism in

835
00:49:48,200 --> 00:49:53,440
Speaker 1: the context and calling racism a public health emergency? What

836
00:49:53,640 --> 00:49:56,799
Speaker 1: does that even mean? This is what libs have been doing. Now,

837
00:49:56,840 --> 00:49:59,040
Speaker 1: what is that supposed to mean? It It doesn't even

838
00:49:59,120 --> 00:50:02,480
Speaker 1: make It doesn't even make sense. How do we address

839
00:50:02,520 --> 00:50:06,560
Speaker 1: that as a health emergency? This is something that people

840
00:50:06,680 --> 00:50:09,680
Speaker 1: say because they believe it sounds good, but have put

841
00:50:09,800 --> 00:50:14,560
Speaker 1: no thought into it beyond that initial impulse to virtue,

842
00:50:14,719 --> 00:50:19,160
Speaker 1: virtue signal and of course to bash your perceived political opponents.

843
00:50:20,560 --> 00:50:23,480
Speaker 1: That's what's going on here. No good will come of this.

844
00:50:26,719 --> 00:50:29,720
Speaker 1: You're in the freedom Hunt. This is the Buck Sexton

845
00:50:29,800 --> 00:50:37,160
Speaker 1: Show podcast. I can't leave this out. There's something that

846
00:50:37,800 --> 00:50:40,680
Speaker 1: came up last night in the midst of all of

847
00:50:40,920 --> 00:50:46,960
Speaker 1: this just noise and the mess and everything we're seeing

848
00:50:47,520 --> 00:50:54,480
Speaker 1: in Minneapolis, something was said that I think raised a

849
00:50:54,560 --> 00:50:59,120
Speaker 1: lot of eyebrows. You have the Hennepin County Attorney Michael Freeman,

850
00:50:59,160 --> 00:51:02,319
Speaker 1: who was talking about the George Floyd video. Now, now

851
00:51:02,400 --> 00:51:05,840
Speaker 1: up to this point, one aspect of this crisis, and

852
00:51:05,920 --> 00:51:08,000
Speaker 1: it is a crisis when you have over a hundred

853
00:51:08,040 --> 00:51:12,400
Speaker 1: businesses destroyed, burned down. You've got police letting a police precinct,

854
00:51:12,440 --> 00:51:15,440
Speaker 1: and think about the message that sends to bad guys

855
00:51:15,480 --> 00:51:17,759
Speaker 1: all over the country. Right the police preescinct gets burned

856
00:51:17,800 --> 00:51:23,480
Speaker 1: down to the grounds. There's obvious, an obvious crisis happening here.

857
00:51:24,360 --> 00:51:29,000
Speaker 1: But all along we've been thinking this will be dealt

858
00:51:29,040 --> 00:51:31,279
Speaker 1: with by the judicial system in a way where there

859
00:51:31,320 --> 00:51:36,200
Speaker 1: will be punishment for those who killed George Floyd. Here's

860
00:51:36,320 --> 00:51:40,000
Speaker 1: something I can't really imagine what, but here is what

861
00:51:40,160 --> 00:51:44,480
Speaker 1: the Hennepin County Attorney Michael Freeman said of the video

862
00:51:44,760 --> 00:51:50,640
Speaker 1: and some other unspecified stuff Place six. I think part

863
00:51:50,680 --> 00:51:52,880
Speaker 1: of the problem is, Sir, the dal goes on for

864
00:51:53,000 --> 00:51:56,600
Speaker 1: seven minutes. He is clearly struggling to breathe during that time.

865
00:51:57,400 --> 00:51:59,360
Speaker 1: And I think people will be hard for us to

866
00:51:59,440 --> 00:52:04,239
Speaker 1: understand how you can't bring charges, at least against the

867
00:52:04,360 --> 00:52:09,959
Speaker 1: officer who had his knee on that man's neck. It's

868
00:52:09,960 --> 00:52:15,880
Speaker 1: a violation of my ethics to talk and evaluate evidence

869
00:52:16,239 --> 00:52:19,360
Speaker 1: before we announce our charging decision, and I will not

870
00:52:19,520 --> 00:52:23,800
Speaker 1: do that. I will say this that that video is

871
00:52:23,960 --> 00:52:27,920
Speaker 1: graphic and horrific and terrible, and no person should do that.

872
00:52:29,040 --> 00:52:31,360
Speaker 1: But my job in the end is to prove that

873
00:52:31,440 --> 00:52:34,840
Speaker 1: he violated a criminal statute. And there is other evidence

874
00:52:35,280 --> 00:52:38,480
Speaker 1: that does not support a criminal charge. We need to

875
00:52:38,600 --> 00:52:41,320
Speaker 1: wait through all of that evidence to come through a

876
00:52:41,360 --> 00:52:45,120
Speaker 1: immediate meaningful determination, and we are doing that to the

877
00:52:45,200 --> 00:52:49,440
Speaker 1: best of our ability. You heard it, and this was

878
00:52:49,800 --> 00:52:52,880
Speaker 1: I mean, if this becomes what it sounds like, it

879
00:52:52,960 --> 00:52:55,440
Speaker 1: could be where there's a real debate over the possible

880
00:52:55,480 --> 00:52:58,959
Speaker 1: criminality of the officer here, I'm not saying we're there.

881
00:52:59,360 --> 00:53:02,520
Speaker 1: Do not consumer misunderstand what I'm saying. But if we

882
00:53:02,680 --> 00:53:05,800
Speaker 1: get to that. You know, with Eric Garner, for example,

883
00:53:07,760 --> 00:53:12,000
Speaker 1: he had a heart condition. The takedown itself, you know,

884
00:53:12,080 --> 00:53:14,080
Speaker 1: they didn't see he didn't sit there and strangle him

885
00:53:14,120 --> 00:53:16,160
Speaker 1: for eight minutes. The guy took him down around the neck.

886
00:53:16,239 --> 00:53:20,960
Speaker 1: And then Garner, as he was arrested, had had cardiac arrest.

887
00:53:22,040 --> 00:53:25,440
Speaker 1: That's not the same thing as as strangling somebody over

888
00:53:25,480 --> 00:53:28,160
Speaker 1: a course of minutes as they're screaming that you know

889
00:53:28,440 --> 00:53:32,080
Speaker 1: that they aren't able to breathe. It's not the same, right,

890
00:53:32,280 --> 00:53:34,759
Speaker 1: But what is he referring to here with evidence that

891
00:53:34,840 --> 00:53:37,759
Speaker 1: does not support a criminal charge. I don't know. The

892
00:53:37,960 --> 00:53:41,960
Speaker 1: only speculation I could have here, and this is speculation.

893
00:53:42,120 --> 00:53:44,800
Speaker 1: I do not have any evidence of this would be

894
00:53:45,040 --> 00:53:49,400
Speaker 1: perhaps there was an underlying medical condition that was exacerbated

895
00:53:49,480 --> 00:53:54,440
Speaker 1: by the knee on the neck. However, even in that circumstance,

896
00:53:54,480 --> 00:53:56,360
Speaker 1: it would seem to me that a knee on the

897
00:53:56,520 --> 00:54:01,120
Speaker 1: neck is excessive force, and if that excessive force continuously

898
00:54:01,880 --> 00:54:04,719
Speaker 1: in this context leads to death, it's still manslaughter. But

899
00:54:04,960 --> 00:54:10,279
Speaker 1: I'm wondering what this county attorney is referring to with

900
00:54:10,400 --> 00:54:12,279
Speaker 1: evidence that does not support Maybe he just meant that

901
00:54:12,360 --> 00:54:14,000
Speaker 1: in a very generic you know, we have to look

902
00:54:14,040 --> 00:54:16,600
Speaker 1: at all the evidence and maybe evidence, but it sounded

903
00:54:16,640 --> 00:54:18,359
Speaker 1: to me like he was suggesting there might be something

904
00:54:18,400 --> 00:54:20,719
Speaker 1: else we'll have to see. But if that's the case,

905
00:54:20,880 --> 00:54:24,520
Speaker 1: this thing is going to get really intense. Thanks for

906
00:54:24,640 --> 00:54:28,320
Speaker 1: listening to The Bus Sesson Show podcast. Remember to subscribe

907
00:54:28,360 --> 00:54:31,839
Speaker 1: on Apple podcast, the iHeartRadio app, or wherever you get

908
00:54:31,880 --> 00:54:37,319
Speaker 1: your podcasts. All right, everybody, we are joined by Congressman

909
00:54:37,560 --> 00:54:41,439
Speaker 1: Matt Gates from down in Florida. He's also the host

910
00:54:41,520 --> 00:54:45,399
Speaker 1: of the Hot Takes podcast with Matt Gates. Congressman, great

911
00:54:45,400 --> 00:54:48,719
Speaker 1: to have you on the show, sir, Oh thanks so much, Buck,

912
00:54:48,800 --> 00:54:51,400
Speaker 1: and I think The last time I saw you in person,

913
00:54:51,960 --> 00:54:56,399
Speaker 1: you were hosting the television show Rising here in Washington, DC.

914
00:54:56,960 --> 00:55:01,480
Speaker 1: It was like December eighteenth, twenty eighteen. Democrats had just

915
00:55:01,680 --> 00:55:04,239
Speaker 1: taken power. You asked me on the show what I

916
00:55:04,320 --> 00:55:08,040
Speaker 1: thought would be the principle objective during the during their

917
00:55:08,120 --> 00:55:11,280
Speaker 1: time and control of the House of Representatives. I predicted,

918
00:55:11,480 --> 00:55:15,280
Speaker 1: regardless of the facts, regardless of the rationale or basis,

919
00:55:15,520 --> 00:55:18,960
Speaker 1: that the real agenda of Democrats would be impeachment. And

920
00:55:19,280 --> 00:55:21,120
Speaker 1: we made all kinds of news back then, Buck, We

921
00:55:21,239 --> 00:55:23,239
Speaker 1: got all kind of news stories written up about that

922
00:55:23,320 --> 00:55:27,480
Speaker 1: interview that a Republican was predicting impeachment that early. Unfortunately,

923
00:55:27,560 --> 00:55:29,840
Speaker 1: that turned out to be correct in that it was

924
00:55:29,920 --> 00:55:33,680
Speaker 1: just a totally delegitimizing effort from start to finish. But

925
00:55:34,200 --> 00:55:36,040
Speaker 1: it's good to be back with you. Hopefully we'll break

926
00:55:36,040 --> 00:55:39,160
Speaker 1: some more news, absolutely, man, and I recall this so

927
00:55:39,440 --> 00:55:42,800
Speaker 1: good for you on being right. And fortunately the president

928
00:55:42,880 --> 00:55:48,280
Speaker 1: weathered the storm of that sham impeachment quite well. But nonetheless,

929
00:55:48,360 --> 00:55:52,200
Speaker 1: now we're in the midst of this coronavirus epidemic and

930
00:55:52,840 --> 00:55:55,760
Speaker 1: really the response epidemic too. I mean, what the government

931
00:55:56,040 --> 00:55:58,960
Speaker 1: has done in some places, you know, I want to

932
00:55:59,200 --> 00:56:01,120
Speaker 1: you said, you're taking victory lab. It feels for a

933
00:56:01,200 --> 00:56:02,839
Speaker 1: lot of us. I'm up here in New York City,

934
00:56:03,360 --> 00:56:06,440
Speaker 1: like Florida gets to take, and the governor there and

935
00:56:06,760 --> 00:56:08,360
Speaker 1: the folks in charge get to take a bit of

936
00:56:08,360 --> 00:56:10,920
Speaker 1: a victory lab too, in terms of being really the

937
00:56:11,080 --> 00:56:13,800
Speaker 1: model for how to handle this and how to reopen

938
00:56:13,880 --> 00:56:16,200
Speaker 1: I just want to know, what have you seen in

939
00:56:16,360 --> 00:56:18,600
Speaker 1: your home state? Why did it work out so well?

940
00:56:19,280 --> 00:56:23,440
Speaker 1: Relatively speaking, of course, Yeah, the biggest difference is that

941
00:56:23,600 --> 00:56:27,480
Speaker 1: some governors followed the news cycle and other governors followed

942
00:56:27,560 --> 00:56:31,080
Speaker 1: the evidence. Ron de Santis made a series of really

943
00:56:31,160 --> 00:56:34,120
Speaker 1: good choices as the governor of Florida that resulted in

944
00:56:34,320 --> 00:56:38,880
Speaker 1: a lower intubation rate, the hospitalization rate, and death rate. Meanwhile,

945
00:56:39,200 --> 00:56:42,120
Speaker 1: the actual choices made by folks like Governor Cuomo in

946
00:56:42,200 --> 00:56:45,640
Speaker 1: New York really put vulnerable people at risk. You're in Florida.

947
00:56:45,760 --> 00:56:50,040
Speaker 1: We didn't discharge people from the hospital with potential coronavirus

948
00:56:50,320 --> 00:56:54,000
Speaker 1: back into nursing homes and long term care facilities. I mean,

949
00:56:54,040 --> 00:56:56,640
Speaker 1: we've got a lot of senior citizens in Florida. We're

950
00:56:56,640 --> 00:56:59,640
Speaker 1: sort of God's waiting room down in the Sunshine State,

951
00:57:00,080 --> 00:57:04,480
Speaker 1: and it has helped our people to not be so

952
00:57:04,920 --> 00:57:10,360
Speaker 1: I guess overly just you know, responsive to the calls

953
00:57:10,400 --> 00:57:14,520
Speaker 1: for eighty thousand ventilators and entirely new hospitals built. There's

954
00:57:15,000 --> 00:57:17,320
Speaker 1: also some specific things we're doing in Florida that are

955
00:57:17,400 --> 00:57:20,800
Speaker 1: helping us snuff out some of these hotspots. We're doing

956
00:57:21,240 --> 00:57:24,840
Speaker 1: sentinel testing, we're doing surveillance testing, or instead of just

957
00:57:24,960 --> 00:57:29,800
Speaker 1: waiting around for a problem to emerge, we're actually trying

958
00:57:29,840 --> 00:57:32,160
Speaker 1: to figure out, you know, as it's happening, where we

959
00:57:32,240 --> 00:57:35,440
Speaker 1: can deploy the most resources. So our governor stopped flights

960
00:57:35,480 --> 00:57:37,680
Speaker 1: in from New York. He stopped some of those throw

961
00:57:37,760 --> 00:57:40,560
Speaker 1: folks from Louisiana from coming over and going to the

962
00:57:40,640 --> 00:57:43,320
Speaker 1: beach in my beautiful district for a while. I think

963
00:57:43,400 --> 00:57:46,680
Speaker 1: that that type of an evidence based approach has been

964
00:57:47,000 --> 00:57:50,080
Speaker 1: more effective than you know, like the daily press conferences,

965
00:57:50,160 --> 00:57:54,200
Speaker 1: but also rapidly rising daily death tolls in places like

966
00:57:54,320 --> 00:57:57,040
Speaker 1: New York. Speaking of Congress in Matt and Gates, a

967
00:57:57,120 --> 00:58:01,520
Speaker 1: Florida also a host of the Hot Takes podcast, Congressman,

968
00:58:02,120 --> 00:58:04,680
Speaker 1: what do you think about the stages that we're in

969
00:58:04,880 --> 00:58:08,320
Speaker 1: right now for the reopening and what needs to happen

970
00:58:08,760 --> 00:58:11,440
Speaker 1: at the congressional level. I mean, you know, Congress has passed,

971
00:58:11,720 --> 00:58:13,600
Speaker 1: There's been a lot of spending going on. Some of

972
00:58:13,680 --> 00:58:16,080
Speaker 1: it understandable, some of it seems a little more suspect.

973
00:58:16,640 --> 00:58:18,840
Speaker 1: What needs to happen to get the economy back into

974
00:58:18,880 --> 00:58:21,760
Speaker 1: You know that the President just spoke to me earlier

975
00:58:22,000 --> 00:58:24,280
Speaker 1: about the transition to greatness. You know, we had him

976
00:58:24,320 --> 00:58:27,960
Speaker 1: on the show. So how do how do we get there?

977
00:58:28,040 --> 00:58:30,480
Speaker 1: And what's Congress's role in that given where we are

978
00:58:30,600 --> 00:58:34,560
Speaker 1: right now. Well, first, I'll say it is quite something.

979
00:58:34,680 --> 00:58:36,880
Speaker 1: How much as a fan of yours, the president is

980
00:58:37,040 --> 00:58:39,240
Speaker 1: sometimes I'll just wake up and it'll be like thirty

981
00:58:39,320 --> 00:58:43,280
Speaker 1: four Buck Sexton retweets from the President, So obviously you're

982
00:58:43,600 --> 00:58:46,040
Speaker 1: making an impact, and he's a big fan of the show.

983
00:58:46,880 --> 00:58:50,560
Speaker 1: I will say that when you pour nine trillion dollars

984
00:58:50,640 --> 00:58:53,880
Speaker 1: on into the economy, as we've done through appropriating funds

985
00:58:53,920 --> 00:58:58,000
Speaker 1: and FED policy, that is a shock to any system,

986
00:58:58,120 --> 00:59:00,439
Speaker 1: right and we hope it sort of shocks us back

987
00:59:00,640 --> 00:59:04,800
Speaker 1: into a vibrant economy like we had prior to this

988
00:59:05,280 --> 00:59:09,600
Speaker 1: terrible coronavirus. The expectation I have is that it will

989
00:59:09,640 --> 00:59:13,040
Speaker 1: take some time to get that properly deployed I don't

990
00:59:13,120 --> 00:59:15,680
Speaker 1: think that we just, you know, immediately snap back. I

991
00:59:15,760 --> 00:59:18,640
Speaker 1: think that there's going to be that transitionary period, and

992
00:59:18,640 --> 00:59:20,200
Speaker 1: I think one of the most important things we can

993
00:59:20,240 --> 00:59:23,560
Speaker 1: do is past sensible liability reforms. You know, right now,

994
00:59:24,080 --> 00:59:26,800
Speaker 1: there are some businesses who are concerned about the cadre

995
00:59:26,920 --> 00:59:32,919
Speaker 1: of lawyers assembling to feed off of this novel circumstance

996
00:59:33,000 --> 00:59:35,200
Speaker 1: that none of us have ever encountered before, and so

997
00:59:35,400 --> 00:59:38,360
Speaker 1: by having some reasonable liability reform, I think that helps

998
00:59:38,440 --> 00:59:41,920
Speaker 1: us get open and rolling again. And ultimately, if there

999
00:59:42,120 --> 00:59:45,360
Speaker 1: is no amount of fit policy or spending from the government,

1000
00:59:45,760 --> 00:59:49,760
Speaker 1: that can in and of itself restore consumer confidence. If

1001
00:59:49,800 --> 00:59:51,720
Speaker 1: you think about it Againting of the Trump presidency, what

1002
00:59:51,880 --> 00:59:56,800
Speaker 1: really was the touchstone of this energized economy was rising

1003
00:59:56,840 --> 01:00:00,280
Speaker 1: investor confidence, rising consumer confidence, the belief that it if

1004
01:00:00,320 --> 01:00:03,200
Speaker 1: people made these investments, that ultimately they would see a

1005
01:00:03,240 --> 01:00:06,280
Speaker 1: return on those investments. And I think that that that

1006
01:00:06,480 --> 01:00:09,480
Speaker 1: just is going to be somewhat of a gradual process

1007
01:00:09,880 --> 01:00:12,840
Speaker 1: before we get to a vaccine now. Also, the President

1008
01:00:13,000 --> 01:00:17,040
Speaker 1: signed an executive order having to do with social media

1009
01:00:17,120 --> 01:00:23,840
Speaker 1: platforms and saying essentially, if they don't act as neutral platforms,

1010
01:00:23,880 --> 01:00:27,120
Speaker 1: that they're going to engage in speech policing, there will

1011
01:00:27,160 --> 01:00:31,640
Speaker 1: be consequences, and people are now learning Congressman Gates about

1012
01:00:32,080 --> 01:00:38,120
Speaker 1: this section two thirty and publisher versus platform and laws

1013
01:00:38,200 --> 01:00:41,040
Speaker 1: that affect whether or not you're liable for what's posted

1014
01:00:41,080 --> 01:00:42,720
Speaker 1: on your side. Can you just give us I mean,

1015
01:00:42,920 --> 01:00:45,760
Speaker 1: you sit on the Antitrust committee in Congress. Okay, can

1016
01:00:45,840 --> 01:00:48,120
Speaker 1: you tell us what's really going on here? I mean,

1017
01:00:48,360 --> 01:00:50,720
Speaker 1: what's at the heart of this fight over Twitter and

1018
01:00:50,880 --> 01:00:54,360
Speaker 1: Facebook and the bias and the pushback against it. We

1019
01:00:54,480 --> 01:00:56,680
Speaker 1: know there's bias, So what's going on with the fight

1020
01:00:56,720 --> 01:01:01,080
Speaker 1: against it. Yeah, let's start with two truths. Big tech

1021
01:01:01,840 --> 01:01:05,800
Speaker 1: is biased against conservatives. I think that's been well evidence. Second,

1022
01:01:06,080 --> 01:01:09,080
Speaker 1: big tech buys off Congress. I mean they've got multiple

1023
01:01:09,160 --> 01:01:12,360
Speaker 1: tech lobbyists for every member of the United States Senate.

1024
01:01:12,480 --> 01:01:15,640
Speaker 1: And as a consequence of the outsized power that they

1025
01:01:15,720 --> 01:01:18,560
Speaker 1: have with the Congress, do their donations if I don't

1026
01:01:18,600 --> 01:01:20,640
Speaker 1: take and by the way, I don't take any federal

1027
01:01:20,720 --> 01:01:23,480
Speaker 1: pack donations. I find the whole thing a bit unseemly.

1028
01:01:23,760 --> 01:01:25,440
Speaker 1: But what big tech is done is they've carved out

1029
01:01:25,480 --> 01:01:28,880
Speaker 1: a special protection in the law that the Buck Sexton

1030
01:01:28,920 --> 01:01:31,960
Speaker 1: Show doesn't get. That CNN and Fox News don't get

1031
01:01:32,000 --> 01:01:34,720
Speaker 1: that my post task hot Takes with my Gates doesn't get,

1032
01:01:34,880 --> 01:01:39,400
Speaker 1: and that protection allows them to hold themselves out as

1033
01:01:39,440 --> 01:01:42,920
Speaker 1: a neutral, unbiased platform and then not be liable for

1034
01:01:43,160 --> 01:01:46,480
Speaker 1: the content, or the meteor ring or the suppression of

1035
01:01:46,720 --> 01:01:50,800
Speaker 1: people's views. And I believe that if technology companies want

1036
01:01:50,960 --> 01:01:54,160
Speaker 1: that special benefit provided by the government, it has to

1037
01:01:54,200 --> 01:01:58,000
Speaker 1: be lashed to some transparency. You like, we should not

1038
01:01:58,200 --> 01:02:01,600
Speaker 1: just accept as an article of faith that Twitter is fair,

1039
01:02:01,800 --> 01:02:04,880
Speaker 1: or Facebook or really any other platform right. They should

1040
01:02:04,920 --> 01:02:06,760
Speaker 1: have to prove it. They should have to open the

1041
01:02:06,840 --> 01:02:10,240
Speaker 1: kimono a little bit and demonstrate that there isn't suppression

1042
01:02:10,280 --> 01:02:13,240
Speaker 1: or viewpoint. And for all of the libertarian think goes

1043
01:02:13,240 --> 01:02:15,400
Speaker 1: out there, who would say, well, that's regulating a private

1044
01:02:15,440 --> 01:02:19,080
Speaker 1: company that my answer would be that we as the government,

1045
01:02:19,120 --> 01:02:22,200
Speaker 1: when we create a special carve out, we depart from

1046
01:02:22,280 --> 01:02:25,840
Speaker 1: the type of free market practices that ought to animate

1047
01:02:26,120 --> 01:02:29,040
Speaker 1: our First Amendment values. So I'm glad that the President

1048
01:02:29,200 --> 01:02:33,240
Speaker 1: is going right at the specific immunities that allow big

1049
01:02:33,320 --> 01:02:37,640
Speaker 1: tech to suppress conservatives. But we also need the Department

1050
01:02:37,720 --> 01:02:41,480
Speaker 1: of Justice to get engaged by enforcing our anti trust laws.

1051
01:02:41,520 --> 01:02:45,960
Speaker 1: And I would suggest we need the Federal Election Commission engaged. Today,

1052
01:02:46,240 --> 01:02:51,080
Speaker 1: I'm filing a Federal Election Commission complaint against Twitter because

1053
01:02:51,160 --> 01:02:53,959
Speaker 1: of the way that they've treated President Trump, and any

1054
01:02:54,080 --> 01:02:56,520
Speaker 1: voter can do that. I would encourage others to do

1055
01:02:56,680 --> 01:03:01,040
Speaker 1: that because when they disadvantage the president is a corporate

1056
01:03:01,200 --> 01:03:05,960
Speaker 1: contribution to a campaign, and that's illegal, and it would

1057
01:03:05,960 --> 01:03:08,520
Speaker 1: be a contribution that exceeds the limits when you look

1058
01:03:08,560 --> 01:03:11,680
Speaker 1: at the value that the Twitter platform provides. Do you

1059
01:03:11,800 --> 01:03:15,960
Speaker 1: think that some of these mega companies in social media,

1060
01:03:16,520 --> 01:03:19,920
Speaker 1: Congressman Gates, do you think that they should be broken up?

1061
01:03:20,080 --> 01:03:23,400
Speaker 1: I mean, are they monopolies? You're a guy who knows antitrust.

1062
01:03:26,360 --> 01:03:28,080
Speaker 1: I don't think you can paint them all at the

1063
01:03:28,160 --> 01:03:31,200
Speaker 1: same brush. I am very concerned about some of the

1064
01:03:31,280 --> 01:03:35,440
Speaker 1: information we found in our bipartisan investigation of Amazon that

1065
01:03:35,560 --> 01:03:39,200
Speaker 1: they like, well literally on board some small business selling

1066
01:03:39,240 --> 01:03:42,120
Speaker 1: the widget onto their platform. Then they'll steal the ip,

1067
01:03:42,640 --> 01:03:44,920
Speaker 1: send it off to China and get the same widget

1068
01:03:45,040 --> 01:03:48,400
Speaker 1: replicated at a lower price to put perhaps an American

1069
01:03:48,440 --> 01:03:50,960
Speaker 1: small business out of business. That would be the very

1070
01:03:51,040 --> 01:03:55,840
Speaker 1: definition of using your market size and power to try

1071
01:03:55,920 --> 01:03:57,800
Speaker 1: to hurt people. And so if there's stuff like that

1072
01:03:58,000 --> 01:04:00,360
Speaker 1: going on, then yes, I do believe that there are

1073
01:04:00,400 --> 01:04:03,919
Speaker 1: antitrust tools in the law that allow us to break

1074
01:04:04,040 --> 01:04:07,360
Speaker 1: up a company like Amazon. If in fact that is evidence,

1075
01:04:07,400 --> 01:04:10,480
Speaker 1: then if in fact there's due process provided when it

1076
01:04:10,560 --> 01:04:14,720
Speaker 1: comes to the digital online platforms and the speech and communication.

1077
01:04:15,120 --> 01:04:17,160
Speaker 1: You know, I'm not entirely sure that we have to

1078
01:04:17,240 --> 01:04:19,760
Speaker 1: go as far as breaking them up, but I certainly

1079
01:04:19,840 --> 01:04:21,760
Speaker 1: think we can use the tools and the law to

1080
01:04:21,880 --> 01:04:25,400
Speaker 1: require transparency and then to punish them when they do

1081
01:04:25,560 --> 01:04:28,360
Speaker 1: things like shadow band Republicans in Congress. I mean, you'll

1082
01:04:28,360 --> 01:04:31,760
Speaker 1: remember a buck. There were four Republicans shadow band during

1083
01:04:31,800 --> 01:04:35,800
Speaker 1: the Russia hoax, Devin Nudez, Mark Meadows, Jim Jordan, and

1084
01:04:35,920 --> 01:04:38,480
Speaker 1: Matt Gates, and like Twitter said, well that was just

1085
01:04:38,600 --> 01:04:40,720
Speaker 1: a bug in their system, Well it's one hell of

1086
01:04:40,800 --> 01:04:43,880
Speaker 1: a buck. There always seems to fight the conservative Republicans

1087
01:04:43,960 --> 01:04:48,240
Speaker 1: who backed the president. So when there are those events

1088
01:04:48,360 --> 01:04:52,320
Speaker 1: that reveal themselves, we ought to have tough consequences. Well,

1089
01:04:52,360 --> 01:04:55,120
Speaker 1: what are the tech liaisons that you deal with in

1090
01:04:55,240 --> 01:04:57,160
Speaker 1: Capitol Hill? I mean, you know, the people that represent

1091
01:04:57,280 --> 01:04:59,880
Speaker 1: these big companies when they're presented with this, how much

1092
01:05:00,000 --> 01:05:02,280
Speaker 1: we get a Congressman Matt Gates you should check out

1093
01:05:02,280 --> 01:05:05,320
Speaker 1: his podcast Hot Takes. Would you listen to whatever podcasts

1094
01:05:05,480 --> 01:05:08,600
Speaker 1: wherever you get your podcasts? Congressman, what do they say?

1095
01:05:09,000 --> 01:05:12,000
Speaker 1: And it seems so apparent because there's never a prominent

1096
01:05:12,080 --> 01:05:15,640
Speaker 1: you know, Ilhan Omar has never been banned from Twitter

1097
01:05:15,920 --> 01:05:18,160
Speaker 1: or you know AOC or you know other people who

1098
01:05:18,240 --> 01:05:22,240
Speaker 1: are often pushing controversial points of view and are clearly

1099
01:05:22,440 --> 01:05:26,160
Speaker 1: highly political. It only happens on the right. Does Twitter

1100
01:05:26,280 --> 01:05:28,880
Speaker 1: or Facebook do they have some explanation that they offer

1101
01:05:29,000 --> 01:05:31,200
Speaker 1: up for this or is it just it's a coincidence.

1102
01:05:33,000 --> 01:05:36,400
Speaker 1: I found that it's very hard to shame the shameless book.

1103
01:05:36,760 --> 01:05:40,240
Speaker 1: We recently had one of those very Facebook liaisons before

1104
01:05:40,280 --> 01:05:43,080
Speaker 1: the House Judiciary Committee, and as you know, they were,

1105
01:05:43,240 --> 01:05:45,760
Speaker 1: they were talking about how fair and equal and just

1106
01:05:46,000 --> 01:05:48,680
Speaker 1: to their platform was, but they couldn't seem to answer

1107
01:05:48,800 --> 01:05:53,600
Speaker 1: my questions about why an account called like Milkshakes against

1108
01:05:53,720 --> 01:05:56,760
Speaker 1: Republicans was able to post that they wanted to see

1109
01:05:57,120 --> 01:06:01,080
Speaker 1: more Republicans shot during baseball practice as a consequence of

1110
01:06:01,120 --> 01:06:04,800
Speaker 1: our political views. I complained about that. I went to

1111
01:06:04,880 --> 01:06:07,680
Speaker 1: Twitter's headquarters and showed it to them, and it took

1112
01:06:07,720 --> 01:06:11,520
Speaker 1: them months to take down that post. And then I

1113
01:06:11,600 --> 01:06:15,320
Speaker 1: don't believe they ever even d platforms the account that

1114
01:06:15,480 --> 01:06:18,880
Speaker 1: said that Republicans should be shot at baseball practice. And

1115
01:06:19,080 --> 01:06:22,320
Speaker 1: you know, I mean, that's not like esoteric, that's not hypothetical.

1116
01:06:22,520 --> 01:06:24,760
Speaker 1: My friend and one of my mentors, Steep Scalie, was

1117
01:06:24,800 --> 01:06:27,480
Speaker 1: shot at baseball practice. And so I think that double

1118
01:06:27,520 --> 01:06:29,720
Speaker 1: standard is something that we have to continue to highlight

1119
01:06:29,800 --> 01:06:32,360
Speaker 1: in evidence. It's why I'm hopeful that the White House

1120
01:06:32,600 --> 01:06:34,400
Speaker 1: that the reports are true, that the White House is

1121
01:06:34,440 --> 01:06:39,000
Speaker 1: going to establish a commission to review specific instances of

1122
01:06:39,280 --> 01:06:42,880
Speaker 1: unfair bias against really against any political groups. I mean,

1123
01:06:42,920 --> 01:06:44,560
Speaker 1: I think we need to have a system in place

1124
01:06:44,640 --> 01:06:51,760
Speaker 1: that allows ideas to be criticized and evaluated, whether they're

1125
01:06:51,880 --> 01:06:54,880
Speaker 1: right wing, left wing, in the middle or whatever. And

1126
01:06:55,040 --> 01:06:57,280
Speaker 1: I think right now we just have a situation where, like,

1127
01:06:57,600 --> 01:06:59,440
Speaker 1: you know, I don't want Washington run in my life,

1128
01:06:59,480 --> 01:07:01,280
Speaker 1: but I showed us I don't want to Silicon Valley run.

1129
01:07:02,000 --> 01:07:04,760
Speaker 1: Congressmen Matt Gates of Florida. Everyone check out his podcast,

1130
01:07:04,840 --> 01:07:08,360
Speaker 1: Hot Takes with Matt Gates, Congressman. Appreciate it. Come back

1131
01:07:08,400 --> 01:07:14,240
Speaker 1: any time, sir, Thanks Bluck, I appreciate it. Man. You're

1132
01:07:14,320 --> 01:07:18,000
Speaker 1: in the freedom hunt. This is the Buck Sexton Show podcast.

1133
01:07:21,840 --> 01:07:24,720
Speaker 1: It's Friday, which means it's time to have a bunch

1134
01:07:24,760 --> 01:07:26,960
Speaker 1: of our friends join us here in the Freedom Hunt,

1135
01:07:27,280 --> 01:07:32,000
Speaker 1: including of course, our buddy Jesse Kelly, whom we share

1136
01:07:32,000 --> 01:07:36,000
Speaker 1: a platform with on Pluto TV's the First and also

1137
01:07:36,280 --> 01:07:39,800
Speaker 1: we are on together down at KPRC Houston, wonderful radio

1138
01:07:39,840 --> 01:07:42,440
Speaker 1: station down there, mister Jesse Kelly, good to have you, sir.

1139
01:07:43,080 --> 01:07:44,920
Speaker 1: It's gonna be here back. I just want to say

1140
01:07:44,960 --> 01:07:46,960
Speaker 1: before we get going, man, I'm sorry that you were

1141
01:07:47,040 --> 01:07:49,840
Speaker 1: still stuck in your apartment in New York City. That sucks.

1142
01:07:49,920 --> 01:07:51,640
Speaker 1: I just I wanted to let you know we're gonna

1143
01:07:51,680 --> 01:07:53,520
Speaker 1: have to wrap this up in twenty or thirty minutes

1144
01:07:53,520 --> 01:07:55,520
Speaker 1: because I've got to go. Buddy's coming to pick me up,

1145
01:07:55,560 --> 01:07:57,400
Speaker 1: and we're going to the lake for the weekend. We're

1146
01:07:57,440 --> 01:07:59,439
Speaker 1: gonna spend the weekend at the lake and we're gonna

1147
01:07:59,440 --> 01:08:01,840
Speaker 1: be you know, down by the lake and swimming and

1148
01:08:02,000 --> 01:08:04,400
Speaker 1: fishing and all that. I mean, I know your weekend sucks,

1149
01:08:04,440 --> 01:08:05,640
Speaker 1: but I just I gotta get out of here and

1150
01:08:05,680 --> 01:08:07,560
Speaker 1: get to my fund. Wait, wait, hold on, you mean

1151
01:08:07,640 --> 01:08:12,200
Speaker 1: you don't have a bunch of hyper nervous, anxious libs

1152
01:08:12,360 --> 01:08:16,160
Speaker 1: walking around with masks like their life depends on the

1153
01:08:16,800 --> 01:08:21,040
Speaker 1: constant possession of that mask on their face all the time.

1154
01:08:21,400 --> 01:08:24,439
Speaker 1: And if you so much as get within fifty yards

1155
01:08:24,479 --> 01:08:28,759
Speaker 1: of them without a mask, you're you're a mass murderer.

1156
01:08:28,960 --> 01:08:32,880
Speaker 1: Without your mask, you don't have that. You know what

1157
01:08:33,040 --> 01:08:35,240
Speaker 1: we do out here in Texas. If you go to

1158
01:08:35,400 --> 01:08:39,240
Speaker 1: downtown Houston, so I work in downtown, almost everybody will

1159
01:08:39,240 --> 01:08:41,439
Speaker 1: be wearing a mask. However, to this day of not

1160
01:08:41,520 --> 01:08:43,960
Speaker 1: seeing a single person yell at another person for not

1161
01:08:44,080 --> 01:08:45,720
Speaker 1: wearing one, I've never been yelled at, and I don't

1162
01:08:45,760 --> 01:08:48,040
Speaker 1: wear one ever. But if you go to the suburbs,

1163
01:08:48,240 --> 01:08:50,479
Speaker 1: you can't find anyone with one. It's like five percent

1164
01:08:50,520 --> 01:08:52,839
Speaker 1: of the population will have a mask. On the different

1165
01:08:52,960 --> 01:08:55,600
Speaker 1: worlds between Texas and New York City. And you know,

1166
01:08:55,680 --> 01:08:58,040
Speaker 1: I love New York City. It's just it is. It's

1167
01:08:58,040 --> 01:09:03,400
Speaker 1: a stark difference. It is, indeed, sir. It's also I'm

1168
01:09:03,479 --> 01:09:07,280
Speaker 1: so angry that there's no movement in this city against

1169
01:09:07,960 --> 01:09:10,200
Speaker 1: the fact that we have really just a bunch of

1170
01:09:10,320 --> 01:09:13,280
Speaker 1: dumb asses in charge here, people that have been wrong

1171
01:09:13,360 --> 01:09:17,280
Speaker 1: at every step of this every stage. And I don't

1172
01:09:17,320 --> 01:09:19,639
Speaker 1: I don't know how how much longer. People that see

1173
01:09:19,680 --> 01:09:24,360
Speaker 1: the world with clear eyes. Mostly conservative, not entirely here,

1174
01:09:24,400 --> 01:09:26,960
Speaker 1: but mostly the conservatives that are in New York City.

1175
01:09:26,960 --> 01:09:28,360
Speaker 1: I don't know how they how they stay, but all right,

1176
01:09:28,600 --> 01:09:30,320
Speaker 1: let me let me get past that for I'm just

1177
01:09:30,400 --> 01:09:34,120
Speaker 1: gonna I'm gonna try to breathe, let it go that.

1178
01:09:34,200 --> 01:09:36,400
Speaker 1: You know, Jesse is gonna be out on the lake

1179
01:09:36,520 --> 01:09:39,080
Speaker 1: on a jet ski. I'm sure eating a tea bone

1180
01:09:39,200 --> 01:09:42,559
Speaker 1: steak without a mask across his face. I'm getting told

1181
01:09:42,600 --> 01:09:45,720
Speaker 1: that when my gym opens in about a month, I'm

1182
01:09:45,720 --> 01:09:48,800
Speaker 1: gonna have to wear a mask while working out. Just

1183
01:09:48,920 --> 01:09:52,880
Speaker 1: wait till someone that's the new rule. Someone is going

1184
01:09:53,000 --> 01:09:56,719
Speaker 1: to die of a heart attack on a treadmill because

1185
01:09:56,760 --> 01:09:59,679
Speaker 1: they were running with a mask. And idiot libs won't

1186
01:09:59,680 --> 01:10:01,760
Speaker 1: even be like, maybe we should rethink this, will say

1187
01:10:02,200 --> 01:10:04,200
Speaker 1: price you gotta pay to keep us safe with masks.

1188
01:10:04,400 --> 01:10:07,960
Speaker 1: That's how crazy they are. The mask has become this

1189
01:10:08,640 --> 01:10:11,000
Speaker 1: It's so much more than anything a mask actually does.

1190
01:10:11,080 --> 01:10:13,880
Speaker 1: It's become this symbol in people's minds where it's a

1191
01:10:13,960 --> 01:10:16,240
Speaker 1: symbol that you are listening to the doctors. It's a

1192
01:10:16,320 --> 01:10:18,920
Speaker 1: symbol you're keeping yourself safe. It's a symbol that you're

1193
01:10:19,000 --> 01:10:22,000
Speaker 1: keeping everyone else safe and nobody. Now we've we've way

1194
01:10:22,120 --> 01:10:24,800
Speaker 1: past this point where anybody is able to stop and

1195
01:10:24,920 --> 01:10:27,880
Speaker 1: actually think if it does any of that, or even

1196
01:10:28,000 --> 01:10:30,240
Speaker 1: listen to any of the other medical experts who say

1197
01:10:30,280 --> 01:10:31,920
Speaker 1: it doesn't at all. And I'm not saying whether it

1198
01:10:31,960 --> 01:10:34,280
Speaker 1: does or not. I'm not a doctor, but people do

1199
01:10:34,479 --> 01:10:37,280
Speaker 1: realize there are just as many doctors that say wearing

1200
01:10:37,320 --> 01:10:39,640
Speaker 1: the mask is ridiculous. Right, just because the all of

1201
01:10:39,760 --> 01:10:42,240
Speaker 1: society has decided that's the only way you can go,

1202
01:10:43,160 --> 01:10:45,920
Speaker 1: that doesn't mean it's the truth. And Jesse, I don't know.

1203
01:10:45,920 --> 01:10:47,400
Speaker 1: I don't want to hold you up before you reackons it.

1204
01:10:47,479 --> 01:10:50,360
Speaker 1: Just we got about a minute. How is Texas doing

1205
01:10:50,479 --> 01:10:53,000
Speaker 1: now that you guys are reopened? Yeah, honestly, Black it's

1206
01:10:53,040 --> 01:10:56,000
Speaker 1: really really tough because we're not open all the way yet.

1207
01:10:56,320 --> 01:10:59,919
Speaker 1: But even though parts of it are some long established

1208
01:11:00,280 --> 01:11:02,880
Speaker 1: here in the Houston area, especially restaurants, I'm talking things

1209
01:11:02,920 --> 01:11:05,240
Speaker 1: that have been here for forty fifty years, they're closing

1210
01:11:05,280 --> 01:11:07,760
Speaker 1: their doors forever. And what's amazing as you see all

1211
01:11:07,800 --> 01:11:09,840
Speaker 1: these local news pun ins getting on news at night

1212
01:11:09,840 --> 01:11:12,840
Speaker 1: and saying I can't believe this, this is shocking. What

1213
01:11:13,080 --> 01:11:15,599
Speaker 1: did all you idiots think was going to happen when

1214
01:11:15,640 --> 01:11:17,760
Speaker 1: you forced them to close their doors for two months.

1215
01:11:17,800 --> 01:11:21,040
Speaker 1: Do you think restaurants just run on goodwill? Yes, we're

1216
01:11:21,120 --> 01:11:23,680
Speaker 1: losing people permanently, and now you're going to hear a

1217
01:11:23,720 --> 01:11:26,000
Speaker 1: lot of that. I'm shocked about this. You shouldn't be.

1218
01:11:26,080 --> 01:11:28,519
Speaker 1: I told you from the beginning, so did you. Buck. Yeah. Man,

1219
01:11:28,640 --> 01:11:30,640
Speaker 1: We've been saying it, and now people are seeing it.

1220
01:11:30,720 --> 01:11:34,760
Speaker 1: Hopefully we can all recover from this insanity in due time.

1221
01:11:34,960 --> 01:11:38,599
Speaker 1: Jesse Kelly of Pluto TV's I'm Right with Jesse Kelly

1222
01:11:38,640 --> 01:11:42,200
Speaker 1: also down on KPRC Houston, the best talk radio station

1223
01:11:42,240 --> 01:11:44,320
Speaker 1: in the Houston area, because Jesse Kelly and Buck Sexton

1224
01:11:44,360 --> 01:11:46,439
Speaker 1: are both on it. Jesse, Ma, man, have a great weekend.

1225
01:11:46,479 --> 01:11:47,920
Speaker 1: We're not going to keep you long today. Thank you

1226
01:11:47,960 --> 01:11:51,400
Speaker 1: for staying with us, dear brother. Thanks for listening to

1227
01:11:51,439 --> 01:11:55,760
Speaker 1: The Bus Sesson Show podcasts. Remember to subscribe on Apple Podcasts,

1228
01:11:55,920 --> 01:12:00,400
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. I

1229
01:12:00,560 --> 01:12:03,960
Speaker 1: feel like I'm living in a crazy world here in

1230
01:12:04,080 --> 01:12:06,599
Speaker 1: New York, and it's true in a lot of places

1231
01:12:06,640 --> 01:12:09,880
Speaker 1: across the country. Now there's some consensus that has formed

1232
01:12:09,880 --> 01:12:12,560
Speaker 1: around certain issues that we're told they're rooted in the

1233
01:12:12,640 --> 01:12:16,240
Speaker 1: science and the facts, and it's just not true, just

1234
01:12:16,520 --> 01:12:19,759
Speaker 1: not the case. And to some of you, maybe, although

1235
01:12:19,760 --> 01:12:21,280
Speaker 1: I don't think many of you, I might have sounded

1236
01:12:21,280 --> 01:12:24,679
Speaker 1: a bit like a mask truther recently, like masks don't work.

1237
01:12:25,560 --> 01:12:30,519
Speaker 1: They work in certain contexts for certain things, and at

1238
01:12:30,520 --> 01:12:33,559
Speaker 1: a certain level. That is not the same thing as

1239
01:12:33,600 --> 01:12:38,440
Speaker 1: saying it is worth the hassle, the annoyance, the imposition

1240
01:12:39,080 --> 01:12:43,800
Speaker 1: of masking all places, all times outside your own home, right,

1241
01:12:43,960 --> 01:12:48,080
Speaker 1: that's not the same thing. And we know this because

1242
01:12:48,280 --> 01:12:51,160
Speaker 1: until now, and I mean until the last few weeks,

1243
01:12:52,000 --> 01:12:54,640
Speaker 1: nobody thought that in the midst of a pandemic you

1244
01:12:54,640 --> 01:12:58,120
Speaker 1: would have everybody going around walking wearing masks in this country.

1245
01:12:58,160 --> 01:13:00,600
Speaker 1: In other countries they've been doing it, and guess what,

1246
01:13:00,640 --> 01:13:04,400
Speaker 1: they've still have outbreaks of the disease. But in case

1247
01:13:04,479 --> 01:13:06,680
Speaker 1: you think that I'm just coming up with this and oh,

1248
01:13:07,040 --> 01:13:08,360
Speaker 1: you know, buck, what have you? All they do is

1249
01:13:08,400 --> 01:13:10,439
Speaker 1: read all day long. Basically, I read all day long.

1250
01:13:10,520 --> 01:13:12,880
Speaker 1: Producer marcs to like text me to remind me that,

1251
01:13:13,040 --> 01:13:14,240
Speaker 1: you know, I got to get up and actually do

1252
01:13:14,280 --> 01:13:16,760
Speaker 1: a show, and then I just keep reading and trying

1253
01:13:16,760 --> 01:13:19,200
Speaker 1: to do more research so I'm fortunate and that I

1254
01:13:19,280 --> 01:13:22,280
Speaker 1: can just deep dive into things every day however I want,

1255
01:13:22,320 --> 01:13:24,760
Speaker 1: whenever I want, and bring you the best information I

1256
01:13:24,880 --> 01:13:27,320
Speaker 1: can on everything. And a lot of the people that

1257
01:13:27,439 --> 01:13:30,200
Speaker 1: say science follow the science. Not only do they not

1258
01:13:30,320 --> 01:13:33,040
Speaker 1: know science, they don't read, they don't know anything, but

1259
01:13:33,160 --> 01:13:37,120
Speaker 1: they're just like to talk about the science. I do

1260
01:13:37,240 --> 01:13:39,400
Speaker 1: read a lot. I'm not a scientist. And one thing

1261
01:13:39,439 --> 01:13:42,120
Speaker 1: that I've noticed is that if you look for science

1262
01:13:42,600 --> 01:13:45,400
Speaker 1: on the issue of masks and the benefits of masking,

1263
01:13:45,640 --> 01:13:49,880
Speaker 1: you find very quickly that there really isn't a scientific

1264
01:13:49,960 --> 01:13:53,519
Speaker 1: consensus out there on the civilian population wearing masks as

1265
01:13:53,560 --> 01:13:58,000
Speaker 1: a means of preventing the transmission of an upper respiratory virus.

1266
01:13:59,280 --> 01:14:04,240
Speaker 1: And here we have, for example, a video put out

1267
01:14:05,240 --> 01:14:08,000
Speaker 1: what was this in February. This is now making the rounds,

1268
01:14:08,240 --> 01:14:11,760
Speaker 1: a video put out by the World Health Organization. So

1269
01:14:11,880 --> 01:14:13,800
Speaker 1: this was the if there is such a thing as

1270
01:14:13,840 --> 01:14:17,880
Speaker 1: a global medical consensus, which there really isn't. But if

1271
01:14:17,920 --> 01:14:20,320
Speaker 1: there was such a thing, one would think that the

1272
01:14:20,640 --> 01:14:28,360
Speaker 1: who would be representative of that consensus. And here's what

1273
01:14:28,640 --> 01:14:34,519
Speaker 1: they have as there directive for the public on the

1274
01:14:34,640 --> 01:14:39,040
Speaker 1: wearing of masks. Play clip three. Medical masks like this

1275
01:14:39,240 --> 01:14:42,879
Speaker 1: one cannot predict against the new coronavirus when used alone.

1276
01:14:43,640 --> 01:14:46,600
Speaker 1: When you wear them, you must combined with hand hygiene

1277
01:14:46,880 --> 01:14:52,000
Speaker 1: and untopreventive measures. WHO only recommends the use of mask

1278
01:14:52,160 --> 01:14:58,040
Speaker 1: in specific cases. If you have cough, fever, and difficulty breathing,

1279
01:14:58,600 --> 01:15:02,280
Speaker 1: you should wear a mask and seek medical care. If

1280
01:15:02,360 --> 01:15:05,000
Speaker 1: you do not have these symptoms, you do not have

1281
01:15:05,240 --> 01:15:09,160
Speaker 1: to wear masks because there is no evidence that they

1282
01:15:09,280 --> 01:15:14,519
Speaker 1: protect people who are not sick. However, if you are healthy,

1283
01:15:15,120 --> 01:15:17,800
Speaker 1: but you are taking care of a person who may

1284
01:15:17,840 --> 01:15:22,280
Speaker 1: be infected with the new coronavirus, then you should wear

1285
01:15:22,400 --> 01:15:25,800
Speaker 1: a mask whenever you are in the same room with

1286
01:15:25,920 --> 01:15:29,760
Speaker 1: that person. I just did you catch that? This is

1287
01:15:29,800 --> 01:15:35,080
Speaker 1: a public service public safety announcement from the World Health

1288
01:15:35,200 --> 01:15:41,920
Speaker 1: Organization during the coronavirus pandemic this year. That says, I mean,

1289
01:15:42,080 --> 01:15:44,240
Speaker 1: if you're healthy, wearing a mask is like not something

1290
01:15:44,320 --> 01:15:49,840
Speaker 1: you should do. What what has changed between then and now?

1291
01:15:50,160 --> 01:15:54,200
Speaker 1: What study have we seen? What has been shown to

1292
01:15:54,439 --> 01:15:58,160
Speaker 1: us that all of a sudden shifts the scientific insensus.

1293
01:15:58,360 --> 01:16:03,240
Speaker 1: The answer is nothing. The answer is that masks have

1294
01:16:03,400 --> 01:16:07,560
Speaker 1: just become an emotional crut sure people who are terrified

1295
01:16:07,960 --> 01:16:11,520
Speaker 1: all the time about going outside and facing the coronavirus,

1296
01:16:11,640 --> 01:16:16,200
Speaker 1: even though unless you're in a high risk category, this

1297
01:16:16,479 --> 01:16:20,720
Speaker 1: is not something that it is reasonable to be afraid of.

1298
01:16:21,880 --> 01:16:23,559
Speaker 1: And I understand some people are afraid of things an

1299
01:16:23,600 --> 01:16:26,519
Speaker 1: unreasonable fashion. Some people, you know, even at a clinical level,

1300
01:16:26,560 --> 01:16:29,720
Speaker 1: you know, there's a gooraphobia, and there's you know, there's

1301
01:16:29,720 --> 01:16:33,519
Speaker 1: a rachnophobia, and there's all these different What is it

1302
01:16:33,600 --> 01:16:36,639
Speaker 1: to trick adecaphobias? Fear of the number thirteen? Is that right?

1303
01:16:36,880 --> 01:16:39,559
Speaker 1: I think I got that one. I don't know why

1304
01:16:39,600 --> 01:16:41,240
Speaker 1: that one's stuck in my brain. But there's all kinds

1305
01:16:41,240 --> 01:16:45,160
Speaker 1: of phobias, right, Fear irrational fear of something. People have

1306
01:16:45,320 --> 01:16:51,280
Speaker 1: developed coronaphobia, and they should not allow that to emotionally

1307
01:16:51,320 --> 01:16:56,680
Speaker 1: and psychologically cripple them and also be the rationalization in

1308
01:16:56,760 --> 01:17:01,000
Speaker 1: their mind for states, for states to do things that

1309
01:17:01,120 --> 01:17:06,600
Speaker 1: are violating their rights, are that are overreached by the authorities.

1310
01:17:07,280 --> 01:17:11,200
Speaker 1: We have far too easily and far too quickly succumbed

1311
01:17:11,240 --> 01:17:16,760
Speaker 1: to this, and I do find it very troubling. And

1312
01:17:16,880 --> 01:17:18,640
Speaker 1: that's the most polite way I can say it. There

1313
01:17:18,640 --> 01:17:20,040
Speaker 1: are other things that I would want to say about it.

1314
01:17:20,080 --> 01:17:22,120
Speaker 1: But so I want to be very clear when I

1315
01:17:22,240 --> 01:17:24,599
Speaker 1: tell you. When I say that I have skepticism about

1316
01:17:25,080 --> 01:17:28,200
Speaker 1: required masking in the lobby of my own apartment building,

1317
01:17:28,600 --> 01:17:30,679
Speaker 1: or in the gym where I want to work out,

1318
01:17:31,200 --> 01:17:35,040
Speaker 1: or outdoors in Central Park here in New York City,

1319
01:17:36,160 --> 01:17:42,200
Speaker 1: I'm pointing out that the science does not support these things,

1320
01:17:43,120 --> 01:17:47,040
Speaker 1: and in fact, the CDC, up until now, when all

1321
01:17:47,040 --> 01:17:50,920
Speaker 1: of a sudden the politics are driving this, would have said, yeah,

1322
01:17:51,000 --> 01:17:53,280
Speaker 1: we're not you know, we're not really sure if you're in.

1323
01:17:53,680 --> 01:17:56,200
Speaker 1: And the reason that people in some of the healthcare

1324
01:17:56,240 --> 01:17:59,240
Speaker 1: settings are wearing masks is that there's such a higher

1325
01:17:59,320 --> 01:18:03,519
Speaker 1: probability that they'll be exposed to viral to a high

1326
01:18:03,720 --> 01:18:06,519
Speaker 1: viral load from a person and maybe in such close

1327
01:18:06,600 --> 01:18:09,840
Speaker 1: direct contact that their their spit or you know, they're

1328
01:18:09,880 --> 01:18:12,920
Speaker 1: the droplets from their mouth will be in physical contact

1329
01:18:12,960 --> 01:18:17,960
Speaker 1: with them that it's worth the imposition for medical people,

1330
01:18:18,600 --> 01:18:20,439
Speaker 1: people that are doctors and nurses to wear a mask.

1331
01:18:20,680 --> 01:18:23,000
Speaker 1: But for the rest of us, for the rest of us,

1332
01:18:23,120 --> 01:18:26,400
Speaker 1: this is it's a it's a political statement, and it's

1333
01:18:26,400 --> 01:18:29,920
Speaker 1: a psychological and it's emotional crutch for people. If if

1334
01:18:30,000 --> 01:18:35,120
Speaker 1: you walk through droplets in the air, remember these are

1335
01:18:35,200 --> 01:18:39,320
Speaker 1: micro droplets and you are breathing in air. The mask

1336
01:18:39,720 --> 01:18:45,240
Speaker 1: is not stopping the virus from Yeah, you're not. You're

1337
01:18:45,280 --> 01:18:49,120
Speaker 1: not stopping it from being from being exposed to it. Yo,

1338
01:18:50,000 --> 01:18:52,080
Speaker 1: you know what I mean? I did I say? Yo?

1339
01:18:52,840 --> 01:18:55,680
Speaker 1: I don't know. Sorry, Yo, I don't know where that

1340
01:18:55,760 --> 01:18:58,840
Speaker 1: came from. But what's up? Yo? But yes, you're not,

1341
01:18:59,680 --> 01:19:03,200
Speaker 1: you're not. And also people keep forgetting viruses can enter

1342
01:19:03,280 --> 01:19:07,479
Speaker 1: through your eyes. It's actually a very weak it's a

1343
01:19:07,560 --> 01:19:10,960
Speaker 1: weak spot in the immune system. It's a place where

1344
01:19:11,000 --> 01:19:12,640
Speaker 1: you can get all and that's why you know, touching her.

1345
01:19:12,760 --> 01:19:15,840
Speaker 1: People keep talking about touching your mouth. You touch your

1346
01:19:15,920 --> 01:19:19,439
Speaker 1: eye with virus and it's a very easy way for

1347
01:19:19,479 --> 01:19:23,200
Speaker 1: it to get into your bloodstream. So you know the sign.

1348
01:19:23,560 --> 01:19:25,800
Speaker 1: I'm looking at the science all these nags. Why are

1349
01:19:25,840 --> 01:19:27,839
Speaker 1: you wearing a mask? It's not that big a cuomo

1350
01:19:28,120 --> 01:19:30,599
Speaker 1: wear a mask because if you don't wear a mask,

1351
01:19:31,080 --> 01:19:35,519
Speaker 1: you're literally a mass murderer because you're killing a lot

1352
01:19:35,560 --> 01:19:38,799
Speaker 1: of people. Why should you not kill people? Because killing people?

1353
01:19:40,240 --> 01:19:41,519
Speaker 1: This is where the governor of New York say, and

1354
01:19:41,520 --> 01:19:45,560
Speaker 1: guy's a moron. Some people figure out though this is

1355
01:19:45,600 --> 01:19:48,400
Speaker 1: all crap, This was great, This is great. You had

1356
01:19:48,479 --> 01:19:54,839
Speaker 1: this guy in Montgomery County, Maryland. It's a pretty fancy county,

1357
01:19:54,920 --> 01:19:59,160
Speaker 1: I think, if memory serves, and he is announcing the

1358
01:19:59,280 --> 01:20:03,560
Speaker 1: new stupid, the new dumb ass restrictions you have for

1359
01:20:03,760 --> 01:20:08,719
Speaker 1: this county for the reopening, and turns out some people

1360
01:20:09,520 --> 01:20:14,479
Speaker 1: don't really want to hear about this nonsense. Play clip seven.

1361
01:20:15,240 --> 01:20:19,400
Speaker 1: Childcare opens as the governor described, it's open for dependents

1362
01:20:19,439 --> 01:20:25,240
Speaker 1: of essential employees and Phase one reopening employees. And there

1363
01:20:25,320 --> 01:20:29,720
Speaker 1: are limits on the number of people who can be

1364
01:20:29,800 --> 01:20:35,560
Speaker 1: in the childcare. Again, these are Governor Hogan's recommendations. Personal services,

1365
01:20:35,640 --> 01:20:39,720
Speaker 1: hair salons and barbie shops open for hair only. No haircuts,

1366
01:20:39,800 --> 01:20:46,360
Speaker 1: no manicures, none of the uh, no pedicures, houses of

1367
01:20:47,240 --> 01:21:12,640
Speaker 1: houses of worship open. I think it's great. People are like, what,

1368
01:21:14,520 --> 01:21:16,360
Speaker 1: you can't get a hair cut, but you can get

1369
01:21:16,800 --> 01:21:21,200
Speaker 1: hair what hair color? Like? What are these arbitrary distinctions

1370
01:21:21,640 --> 01:21:26,000
Speaker 1: that these just abject morons in charge you're making? Well,

1371
01:21:26,040 --> 01:21:28,880
Speaker 1: what are they talking about? If you're in a place,

1372
01:21:28,960 --> 01:21:31,280
Speaker 1: you're in the place. Let people get the services they

1373
01:21:31,320 --> 01:21:34,679
Speaker 1: want in the place. This is not based in science.

1374
01:21:34,720 --> 01:21:38,719
Speaker 1: This is now just all fear and control. It's all crap.

1375
01:21:39,720 --> 01:21:42,479
Speaker 1: I have been right about this, you know it. I've

1376
01:21:42,520 --> 01:21:46,840
Speaker 1: been right about this for months now. All these people

1377
01:21:46,880 --> 01:21:49,240
Speaker 1: are telling, oh, we're a myth or you hate everybody,

1378
01:21:49,320 --> 01:21:51,160
Speaker 1: you're being reckless. They don't know what they're talking about.

1379
01:21:51,200 --> 01:21:54,360
Speaker 1: They don't read the studies. They don't know. And now

1380
01:21:54,439 --> 01:21:56,519
Speaker 1: that we're reopening, goal can reopen. But you know, if

1381
01:21:56,520 --> 01:21:59,519
Speaker 1: you're reopen a restaurant, you can order a ham sandwich,

1382
01:21:59,560 --> 01:22:02,599
Speaker 1: but not roast beef. What has that happened with? COVID nineteen?

1383
01:22:03,560 --> 01:22:05,840
Speaker 1: Shut up, peasant, Do as we tell you, or else

1384
01:22:06,080 --> 01:22:10,839
Speaker 1: we'll find you. Morons are in charge. Folks. Welcome to America.

1385
01:22:13,600 --> 01:22:16,599
Speaker 1: You're in the freedom hud. This is the Buck Sexton

1386
01:22:16,680 --> 01:22:25,320
Speaker 1: Show podcast, All right back by Team Buck popular demand.

1387
01:22:25,439 --> 01:22:29,200
Speaker 1: We have Tiana Lowe in the house. She is a

1388
01:22:29,520 --> 01:22:33,519
Speaker 1: commentary writer at The Washington Examiner and a contributor to

1389
01:22:33,760 --> 01:22:36,760
Speaker 1: Pluto TV's The First Channel two forty eight on your

1390
01:22:36,760 --> 01:22:40,280
Speaker 1: Pluto TV app, she joins now TIERA, tell me how

1391
01:22:40,680 --> 01:22:44,320
Speaker 1: is life down in Quarantine in DC? Last time I

1392
01:22:44,479 --> 01:22:46,720
Speaker 1: was there, it was even more of a ghost town

1393
01:22:46,800 --> 01:22:50,120
Speaker 1: than New York was. Yeah, I mean today we finally

1394
01:22:50,280 --> 01:22:54,720
Speaker 1: began our phase one of reopening, which is shockingly a

1395
01:22:54,800 --> 01:22:58,000
Speaker 1: lot less exciting than it sounds because the mayor of DC,

1396
01:22:58,720 --> 01:23:01,040
Speaker 1: you know, there have been all these crys from restaurant

1397
01:23:01,080 --> 01:23:03,920
Speaker 1: owners and bar owners just saying DC is a physically

1398
01:23:04,040 --> 01:23:06,920
Speaker 1: small city. Shut down some of the streets and let

1399
01:23:07,000 --> 01:23:11,839
Speaker 1: us go. Let restaurants put dining seats and dining tables

1400
01:23:12,000 --> 01:23:15,559
Speaker 1: in the streets, make them walking streets. But DC has

1401
01:23:15,600 --> 01:23:17,960
Speaker 1: been really slow to act. So when you think about

1402
01:23:18,240 --> 01:23:21,600
Speaker 1: small city, small physical restaurants, the number of them that

1403
01:23:21,720 --> 01:23:26,559
Speaker 1: can actually reopen and remain profitability, it's really small. If

1404
01:23:26,600 --> 01:23:30,200
Speaker 1: you only have a patio that can fit six tables

1405
01:23:30,320 --> 01:23:33,240
Speaker 1: that are all socially distanced, that's not enough to turn

1406
01:23:33,280 --> 01:23:35,920
Speaker 1: a profit if you're going to reopen. So I mean

1407
01:23:36,000 --> 01:23:39,120
Speaker 1: this is a cause for celebration, but quite frankly, the

1408
01:23:39,240 --> 01:23:42,280
Speaker 1: city should be bending over backwards trying to approve more

1409
01:23:42,360 --> 01:23:46,120
Speaker 1: liquor permits, approve more dining permits, make it so as

1410
01:23:46,200 --> 01:23:48,120
Speaker 1: many things can open up as possible. I mean, if

1411
01:23:48,120 --> 01:23:49,880
Speaker 1: you really, if you want to go get your nails

1412
01:23:49,920 --> 01:23:52,599
Speaker 1: done or get a haircut, you're better off just crossing

1413
01:23:52,640 --> 01:23:54,759
Speaker 1: the river and heading to Maryland or heading to Virginia.

1414
01:23:55,439 --> 01:23:58,879
Speaker 1: And I gotta ask D you have other really stupid

1415
01:23:58,960 --> 01:24:02,320
Speaker 1: rules like we do year in New York City when

1416
01:24:02,360 --> 01:24:05,519
Speaker 1: it comes to Deblasio. Our mayor here now has said

1417
01:24:05,960 --> 01:24:09,680
Speaker 1: one person at a time at the elevator, And I'm like,

1418
01:24:09,920 --> 01:24:12,840
Speaker 1: they're coming up with rules that no one is going

1419
01:24:12,920 --> 01:24:16,280
Speaker 1: to follow, Like, no one, only people that are terrified

1420
01:24:16,360 --> 01:24:18,320
Speaker 1: of this whole thing, which they shouldn't be. The stats

1421
01:24:18,360 --> 01:24:20,800
Speaker 1: are in the numbers. If you're under fifty, your risk

1422
01:24:20,880 --> 01:24:24,040
Speaker 1: from this is very, very very low. Do you guys

1423
01:24:24,120 --> 01:24:27,559
Speaker 1: have any dumb stuff like that going on? Yeah, it's

1424
01:24:27,600 --> 01:24:29,840
Speaker 1: not even just that people won't follow them. It won't

1425
01:24:29,840 --> 01:24:33,519
Speaker 1: do anything to decrease the transmission of the coronavirus, you know,

1426
01:24:33,680 --> 01:24:35,560
Speaker 1: one of the things that DC is doing now. So

1427
01:24:36,120 --> 01:24:38,760
Speaker 1: you can go into a grocery store with a mask

1428
01:24:38,840 --> 01:24:41,719
Speaker 1: and socially distanced and buy your groceries. But you can't

1429
01:24:41,800 --> 01:24:44,360
Speaker 1: go to a Nordstrum to buy new genes. You can't

1430
01:24:44,400 --> 01:24:46,680
Speaker 1: go to a Sapphora to buy new makeup. These are

1431
01:24:46,720 --> 01:24:49,519
Speaker 1: all people who need to work and they need people

1432
01:24:49,600 --> 01:24:54,160
Speaker 1: physically in their stores in order to gain income. It's

1433
01:24:54,200 --> 01:24:57,719
Speaker 1: just you know, restaurants can open up outside, but bars can't.

1434
01:24:57,960 --> 01:25:01,680
Speaker 1: If bars don't serve three individually cooked meals bars can

1435
01:25:02,000 --> 01:25:05,479
Speaker 1: a new rule from the there. Our speed limit has

1436
01:25:05,520 --> 01:25:07,960
Speaker 1: been decreased to twenty miles an hour because that will

1437
01:25:08,000 --> 01:25:11,600
Speaker 1: absolutely inhabit the spread of the coronavirus. It makes no

1438
01:25:11,800 --> 01:25:15,400
Speaker 1: sense and it's honestly just petty authoritarianism run a lampit.

1439
01:25:15,880 --> 01:25:17,479
Speaker 1: And so we're seeing here too, and I don't know

1440
01:25:17,560 --> 01:25:19,760
Speaker 1: what it's going to take for people to you know,

1441
01:25:19,880 --> 01:25:23,080
Speaker 1: on the one hand, we have, based on Minneapolis, cities

1442
01:25:23,120 --> 01:25:26,000
Speaker 1: across the country that have nothing, that are obviously not Minneapolis,

1443
01:25:26,080 --> 01:25:30,120
Speaker 1: that are also seeing protests and you know, some violence

1444
01:25:30,200 --> 01:25:32,200
Speaker 1: in the streets, cops having to wrestle people to the ground,

1445
01:25:32,240 --> 01:25:34,960
Speaker 1: lots of stuff going on here. I'm I'm a little

1446
01:25:35,000 --> 01:25:39,320
Speaker 1: bit in shock about how much these cities, in these

1447
01:25:39,400 --> 01:25:42,439
Speaker 1: blue enclaves like New York have been willing to tolerate

1448
01:25:42,840 --> 01:25:46,120
Speaker 1: when we are we are ruled by idiots in New York,

1449
01:25:46,200 --> 01:25:49,679
Speaker 1: I mean de Blasio and Cuomo. Cuomo's nursing home policy,

1450
01:25:50,280 --> 01:25:53,600
Speaker 1: It's like he came up with the fastest way to

1451
01:25:53,800 --> 01:25:57,679
Speaker 1: infect the most at risk people possible and everyone still

1452
01:25:57,720 --> 01:26:01,360
Speaker 1: listens to them. I don't know what's going on. I mean,

1453
01:26:01,439 --> 01:26:05,040
Speaker 1: this whole thing has been a blacklight over just who

1454
01:26:05,080 --> 01:26:08,120
Speaker 1: are the worst sycophants in the media. The fact that

1455
01:26:08,240 --> 01:26:12,080
Speaker 1: Cuomo has been completely lionized. You know, studies now show

1456
01:26:12,240 --> 01:26:15,400
Speaker 1: that that New York had shut down about a week earlier,

1457
01:26:15,680 --> 01:26:18,520
Speaker 1: they could have prevented about fifty percent of all coronavirus

1458
01:26:18,640 --> 01:26:21,360
Speaker 1: deaths when you look back. So now people are saying

1459
01:26:21,439 --> 01:26:24,320
Speaker 1: the subway was probably the number one source of coronavirus

1460
01:26:24,360 --> 01:26:27,960
Speaker 1: transmission in New York. And even though Deblasio was trying

1461
01:26:28,000 --> 01:26:30,880
Speaker 1: to persecute people for growing outside, Cuomo never decided to

1462
01:26:31,000 --> 01:26:34,160
Speaker 1: shut down the subway. And ultimately the authority the MTA

1463
01:26:34,280 --> 01:26:36,760
Speaker 1: does rest with the state, not with the city. It

1464
01:26:37,000 --> 01:26:40,559
Speaker 1: is political malpractice that Cuomo has been held up as

1465
01:26:40,600 --> 01:26:42,560
Speaker 1: this hero. And especially if you want to look a

1466
01:26:42,680 --> 01:26:45,760
Speaker 1: good Democrats that have handled this crisis, California has ton

1467
01:26:45,800 --> 01:26:50,200
Speaker 1: of them. California does not have the same in like

1468
01:26:50,360 --> 01:26:53,519
Speaker 1: crazy death rate, crazy caseload rate. And yeah, on the

1469
01:26:53,600 --> 01:26:55,920
Speaker 1: one hand, most of California is more spread out than

1470
01:26:56,000 --> 01:26:58,320
Speaker 1: New York. But San Francisco's the second NSIS city in

1471
01:26:58,320 --> 01:27:02,240
Speaker 1: the country and they've had thirty six coronavirus deaths. Why

1472
01:27:02,400 --> 01:27:03,800
Speaker 1: because they have a mayor with a couple of brain

1473
01:27:03,840 --> 01:27:07,080
Speaker 1: cells to actually run together instead of dummy, build a Blasio.

1474
01:27:07,240 --> 01:27:09,720
Speaker 1: We're speaking of a Tiana Lowe, commentary writer for the

1475
01:27:09,800 --> 01:27:14,240
Speaker 1: Washington Examiner and also a contributor to the First on

1476
01:27:14,400 --> 01:27:18,240
Speaker 1: Pluto TV TA. Let's just move to the political scene

1477
01:27:18,280 --> 01:27:20,880
Speaker 1: for a second, and this I thought this pole was

1478
01:27:20,920 --> 01:27:25,519
Speaker 1: really interesting. Joe Biden. This is according to Newsweek, Joe

1479
01:27:25,600 --> 01:27:29,960
Speaker 1: Biden a week ago and the same Reuters IPSOS poll

1480
01:27:30,800 --> 01:27:35,439
Speaker 1: was up nine points, and now it turns out that

1481
01:27:35,640 --> 01:27:39,280
Speaker 1: Joe Biden as of this week is only up six points.

1482
01:27:40,000 --> 01:27:42,920
Speaker 1: What do you think is heading in the president's favor

1483
01:27:43,040 --> 01:27:45,519
Speaker 1: right now? And also how concerned should we be that

1484
01:27:45,680 --> 01:27:48,720
Speaker 1: a guy who like almost every day gives us a

1485
01:27:48,800 --> 01:27:51,720
Speaker 1: sound bite that is fantastic for radio because it's so

1486
01:27:51,880 --> 01:27:55,599
Speaker 1: hilarious and bizarre and it's like, mister McGoo, run a muck.

1487
01:27:56,320 --> 01:27:58,280
Speaker 1: How is he ahead of Trump in any of these

1488
01:27:58,760 --> 01:28:02,720
Speaker 1: battleground pole a national level polls? So right now, the

1489
01:28:02,760 --> 01:28:05,439
Speaker 1: goal of this election is to keep for Trump. It's

1490
01:28:05,479 --> 01:28:08,000
Speaker 1: to keep this election from being a referendum on Trump.

1491
01:28:08,120 --> 01:28:10,240
Speaker 1: That is one of the reasons why Trump did why

1492
01:28:10,320 --> 01:28:12,479
Speaker 1: Trump did win in twenty sixteen, because it wound up

1493
01:28:12,479 --> 01:28:15,439
Speaker 1: becoming a referendum on Hillary and on the Obama era,

1494
01:28:15,760 --> 01:28:18,400
Speaker 1: and that benefited Trump. Right now, Trump is the leader,

1495
01:28:18,520 --> 01:28:20,840
Speaker 1: so he's in the spotlight. You know, you are seeing

1496
01:28:20,960 --> 01:28:24,560
Speaker 1: his approval rating go down, But because negative partisanship is

1497
01:28:24,600 --> 01:28:28,000
Speaker 1: so strong, it has not really affected his presidential polling.

1498
01:28:28,080 --> 01:28:30,840
Speaker 1: And that's fundamentally what matters. A big factor I think

1499
01:28:30,880 --> 01:28:34,720
Speaker 1: the media doesn't want to address most voters pulled. There

1500
01:28:34,760 --> 01:28:36,280
Speaker 1: have only been a handful of polls about this, so

1501
01:28:36,400 --> 01:28:38,559
Speaker 1: we can't say it for a fact, but most voters

1502
01:28:38,640 --> 01:28:42,400
Speaker 1: polled believe the terror read allegation, and even if it's

1503
01:28:42,439 --> 01:28:45,800
Speaker 1: only a minority of those who believe her who will

1504
01:28:45,880 --> 01:28:49,439
Speaker 1: change their votes as a result, that's not insignificant. So

1505
01:28:49,600 --> 01:28:52,040
Speaker 1: we know that Biden is polling better with the college

1506
01:28:52,200 --> 01:28:55,679
Speaker 1: educated class than Hillary Clinton. He's doing better with older

1507
01:28:55,800 --> 01:28:58,479
Speaker 1: voters by a law, which should scare the Trump team,

1508
01:28:58,880 --> 01:29:02,400
Speaker 1: but he does not do well with young black voters.

1509
01:29:02,840 --> 01:29:07,439
Speaker 1: And we already know the black electorate. They're the bellweather

1510
01:29:07,600 --> 01:29:10,360
Speaker 1: of how well Democrats do. So even though yes, it

1511
01:29:10,600 --> 01:29:13,080
Speaker 1: was older black voters who saved him and saved his

1512
01:29:13,200 --> 01:29:17,320
Speaker 1: candidacy in South Carolina and crucially afterward, but it's more

1513
01:29:17,400 --> 01:29:20,120
Speaker 1: suburbanite moms who are turning out for Biden than young

1514
01:29:20,240 --> 01:29:23,519
Speaker 1: black voters, who are also very important in the politically

1515
01:29:23,600 --> 01:29:27,080
Speaker 1: active community. So I mean, the best thing that Trump

1516
01:29:27,200 --> 01:29:29,840
Speaker 1: is going for him is negative partisanship, even if you

1517
01:29:29,920 --> 01:29:31,800
Speaker 1: hate the tweets, even if you hate all of it.

1518
01:29:31,960 --> 01:29:35,559
Speaker 1: Right now, we're looking at what could be an immediate recovery,

1519
01:29:35,720 --> 01:29:38,760
Speaker 1: what could be a three year long recovery, with unemployment

1520
01:29:38,840 --> 01:29:42,479
Speaker 1: persisting into the double digits well into next year. Trump

1521
01:29:42,600 --> 01:29:44,680
Speaker 1: needs to sell Do you really want to hand the

1522
01:29:44,760 --> 01:29:47,040
Speaker 1: reins back over to the guy who was second in

1523
01:29:47,080 --> 01:29:50,160
Speaker 1: command during the longest economic recovery since World War Two?

1524
01:29:51,360 --> 01:29:54,360
Speaker 1: Fair point, Tiana Low, everybody of the Washington Examiner and

1525
01:29:54,640 --> 01:29:57,040
Speaker 1: contributor here at the first Tianna, thanks so much for

1526
01:29:57,120 --> 01:30:02,160
Speaker 1: joining him. A great weekend. Thanks Buck. Thanks for listening

1527
01:30:02,240 --> 01:30:05,600
Speaker 1: to the Bus Sesson Show podcasts. Remember to subscribe on

1528
01:30:05,680 --> 01:30:19,000
Speaker 1: Apple Podcasts, the iHeartRadio app, or wherever you get your podcasts. Hey,

1529
01:30:19,360 --> 01:30:29,360
Speaker 1: Team Buck, it's time for roll Call. Roll call everybody.

1530
01:30:30,680 --> 01:30:33,519
Speaker 1: All right, let's get to it, shall we? Facebook dot

1531
01:30:33,560 --> 01:30:37,080
Speaker 1: com slash Buck Sexton, Team Bucket, iHeartMedia dot com. And

1532
01:30:37,240 --> 01:30:39,160
Speaker 1: we do have a fun Team Buck announcement to make,

1533
01:30:39,240 --> 01:30:42,040
Speaker 1: but I can't make it yet or else Producer Mark

1534
01:30:42,040 --> 01:30:44,280
Speaker 1: will put me in the penalty box. But there's something

1535
01:30:44,360 --> 01:30:46,360
Speaker 1: cool on the horizon. All right, all right, Mark, we

1536
01:30:46,439 --> 01:30:48,639
Speaker 1: can say something cool is coming. We always have cool

1537
01:30:48,680 --> 01:30:51,880
Speaker 1: things coming, that's true, but this one's especially cool. So

1538
01:30:52,040 --> 01:30:55,560
Speaker 1: this is kind of exciting. So let's let's see what

1539
01:30:55,600 --> 01:30:58,400
Speaker 1: we have here. We got first up in the mix. Well, actually,

1540
01:30:58,439 --> 01:31:00,719
Speaker 1: know before we go, what are producer Mark and missus

1541
01:31:00,800 --> 01:31:03,400
Speaker 1: Mark doing this week? And anything fun? How can we

1542
01:31:03,479 --> 01:31:06,599
Speaker 1: do anything fun? We're in the New York area. That's

1543
01:31:06,600 --> 01:31:10,080
Speaker 1: a good point. Well, aren't there isn't the Jersey Shore open?

1544
01:31:10,720 --> 01:31:13,040
Speaker 1: It's do you know how far the Jersey Shore is

1545
01:31:13,200 --> 01:31:17,639
Speaker 1: from like northern New Jersey. It's a couple hour drive.

1546
01:31:17,960 --> 01:31:20,439
Speaker 1: It's like an hour drive, not that bad. And I

1547
01:31:20,520 --> 01:31:23,439
Speaker 1: have to find parking, you know, and they it's all

1548
01:31:23,520 --> 01:31:28,200
Speaker 1: thing yeah, beach capacity too. What about you know, when

1549
01:31:28,200 --> 01:31:30,720
Speaker 1: you're on the Amtrak train, for example, or you're on

1550
01:31:31,000 --> 01:31:33,120
Speaker 1: ninety five and you start going through northern New Jersey,

1551
01:31:33,680 --> 01:31:37,280
Speaker 1: you know there's all those uh the meadow lands for example,

1552
01:31:37,880 --> 01:31:40,960
Speaker 1: or any of those like swimming holes you know, Yeah, yeah, sure,

1553
01:31:41,080 --> 01:31:45,160
Speaker 1: go ahead and go swimming in the swamp. Buck. I'm

1554
01:31:45,240 --> 01:31:48,080
Speaker 1: just saying you probably could. There's a reason people say

1555
01:31:48,120 --> 01:31:52,439
Speaker 1: that New Jersey smells. That is the reason. Yeah, I

1556
01:31:52,520 --> 01:31:55,120
Speaker 1: guess that some of those chemical facilities that run off

1557
01:31:55,400 --> 01:32:00,240
Speaker 1: into those marsh areas might not be the most health full,

1558
01:32:01,240 --> 01:32:04,360
Speaker 1: you know. I would say that it's it's a lot

1559
01:32:04,400 --> 01:32:08,360
Speaker 1: of swamp land and then you see MetLife stadium. M

1560
01:32:08,920 --> 01:32:13,400
Speaker 1: good point. Rich. First up, it was great listening to

1561
01:32:13,439 --> 01:32:15,559
Speaker 1: your account of your meeting with our president on the radio.

1562
01:32:15,960 --> 01:32:18,439
Speaker 1: I really enjoy your show. I have to say the

1563
01:32:18,520 --> 01:32:21,000
Speaker 1: voice yesterday almost did take me back to her Elizabeth

1564
01:32:21,040 --> 01:32:26,200
Speaker 1: Warren impersonation. I'm originally a South Jersey river rat, grown

1565
01:32:26,280 --> 01:32:30,639
Speaker 1: up in Beverly on the river. Unfortunately, all my friends

1566
01:32:30,720 --> 01:32:34,720
Speaker 1: from childhood are Lib Dems and denounce our president at

1567
01:32:34,760 --> 01:32:37,799
Speaker 1: every turn. I lived in the great state of Oklahoma,

1568
01:32:37,880 --> 01:32:41,280
Speaker 1: where all my friends in the last for the last

1569
01:32:41,320 --> 01:32:45,120
Speaker 1: thirty years support our president. Oh, I guess he lives

1570
01:32:45,280 --> 01:32:48,040
Speaker 1: not lived. Thank you for meeting with our president, the

1571
01:32:48,080 --> 01:32:50,519
Speaker 1: greatest president of my life, now spanning sixty five years.

1572
01:32:50,640 --> 01:32:54,120
Speaker 1: Keep helping him keeping America great by keeping us informed

1573
01:32:54,160 --> 01:32:56,200
Speaker 1: to entertain Rich. Thank you very much for your kind

1574
01:32:56,280 --> 01:32:59,360
Speaker 1: and supportive note. We really do appreciate it. Here in

1575
01:32:59,479 --> 01:33:02,160
Speaker 1: the hut and I gotta get out to Oklahoma. Never

1576
01:33:02,240 --> 01:33:05,240
Speaker 1: never been in Oklahoma, never been like I got places

1577
01:33:05,280 --> 01:33:07,360
Speaker 1: I gotta go. I have places to go, people to see,

1578
01:33:07,920 --> 01:33:11,519
Speaker 1: things that do. Hopefully we can start doing that again

1579
01:33:11,560 --> 01:33:15,559
Speaker 1: when the country opens up a bit. Andy, Greetings from

1580
01:33:15,640 --> 01:33:20,599
Speaker 1: the MSP metro area. I'm appalled and deeply saddened by

1581
01:33:20,640 --> 01:33:24,680
Speaker 1: the last few days. I'm not a lifelong Minnesotan. As

1582
01:33:24,760 --> 01:33:28,599
Speaker 1: a result, it was initially quite disarming how nice people

1583
01:33:28,720 --> 01:33:32,040
Speaker 1: are here. It's a common practice, for example, during the winter,

1584
01:33:32,439 --> 01:33:34,960
Speaker 1: for people to leave their cars running keys in the

1585
01:33:35,040 --> 01:33:38,720
Speaker 1: ignition while they run into stores. There's a trust and

1586
01:33:38,880 --> 01:33:41,120
Speaker 1: sense of community that I feel here that I haven't

1587
01:33:41,160 --> 01:33:44,360
Speaker 1: felt in the multiple areas I've lived. People put up

1588
01:33:44,400 --> 01:33:47,080
Speaker 1: with the horrible weather and the cold because they love

1589
01:33:47,200 --> 01:33:50,160
Speaker 1: being here and raising their families here. I ask your

1590
01:33:50,200 --> 01:33:52,679
Speaker 1: listeners to please pray for our city and the broader

1591
01:33:52,720 --> 01:33:57,759
Speaker 1: metro area. Shields Hi, Andy, absolutely prayers up for prayers

1592
01:33:57,880 --> 01:34:04,960
Speaker 1: up for Minneapolis in Minnesota, and we are thinking about

1593
01:34:05,040 --> 01:34:07,439
Speaker 1: you all. And you know, I know that there are

1594
01:34:07,439 --> 01:34:11,480
Speaker 1: people listening right now who are on listening on KTLK

1595
01:34:12,000 --> 01:34:15,880
Speaker 1: in Minneapolis. Saint Paul and our thoughts and prayers go

1596
01:34:15,920 --> 01:34:18,960
Speaker 1: out to all of you and just this will pass.

1597
01:34:19,560 --> 01:34:21,880
Speaker 1: This will be okay in the end. I mean, you'll

1598
01:34:21,920 --> 01:34:23,880
Speaker 1: be okay in the end. I'm just sorry what's going

1599
01:34:23,920 --> 01:34:26,360
Speaker 1: on with your city, because it's distressing. Over one hundred

1600
01:34:26,360 --> 01:34:29,840
Speaker 1: and seventy business is either looted or attacked or destroyed,

1601
01:34:29,960 --> 01:34:32,759
Speaker 1: burned down. That's a lot. That's a lot of places.

1602
01:34:33,520 --> 01:34:38,640
Speaker 1: It feels like a whole neighborhood. Brian Buck, I have

1603
01:34:38,920 --> 01:34:43,040
Speaker 1: a real mask virtue signaling winner for you. I live

1604
01:34:43,080 --> 01:34:45,679
Speaker 1: in New Hampshire where we do not have helmet laws

1605
01:34:45,720 --> 01:34:48,400
Speaker 1: for motorcycles. So the other day my wife and I

1606
01:34:48,520 --> 01:34:50,679
Speaker 1: were out for a drive and I saw a real

1607
01:34:50,760 --> 01:34:56,040
Speaker 1: winner on a sport bike, shorts, sneakers, T shirt, no helmet,

1608
01:34:56,200 --> 01:34:58,960
Speaker 1: but he had a surgical mask on because you know

1609
01:34:59,080 --> 01:35:01,960
Speaker 1: that going seventy prior on the highway is a real

1610
01:35:02,080 --> 01:35:05,960
Speaker 1: at risk situation for COVID. I do like that a lot,

1611
01:35:06,040 --> 01:35:08,479
Speaker 1: I've got to say. I mean, yeah, if if you're

1612
01:35:08,479 --> 01:35:10,760
Speaker 1: gonna be going eighty on a Harley and you're not

1613
01:35:10,920 --> 01:35:13,880
Speaker 1: wearing a helmet, but you're gonna wear a surgical mask,

1614
01:35:15,120 --> 01:35:17,439
Speaker 1: you know you're a liberal at that point. You know

1615
01:35:17,640 --> 01:35:20,400
Speaker 1: you're a lib at that stage, What do you think,

1616
01:35:20,439 --> 01:35:24,480
Speaker 1: Producer Mark, Yeah, I mean just going on a motorbike

1617
01:35:24,560 --> 01:35:27,120
Speaker 1: or Harley or anything like that with that helmet. How

1618
01:35:27,320 --> 01:35:30,360
Speaker 1: dumb can you be? Yeah, I would not do that.

1619
01:35:30,720 --> 01:35:34,080
Speaker 1: In fact, I've never been on a motorcycle, so I

1620
01:35:34,200 --> 01:35:38,200
Speaker 1: haven't either that. Yeah, never been on one. I've been

1621
01:35:38,240 --> 01:35:39,519
Speaker 1: on one of those sort of you have, like a

1622
01:35:39,560 --> 01:35:43,439
Speaker 1: little kick kick start thing dirt bike in the country,

1623
01:35:43,960 --> 01:35:46,280
Speaker 1: so I guess that's calf. I've never been on an

1624
01:35:46,320 --> 01:35:50,880
Speaker 1: actual road, you know, on on a motorcycle. So I'm

1625
01:35:52,160 --> 01:35:54,120
Speaker 1: on our honeymoon in Jamaica. We wrote a TV so

1626
01:35:54,200 --> 01:35:58,720
Speaker 1: that was incredibly fun. ATVs are great. That's a lot

1627
01:35:58,760 --> 01:36:01,160
Speaker 1: of fun. Yeah, there's a place here where you can

1628
01:36:01,240 --> 01:36:04,080
Speaker 1: rent jet skis in New York City and go on

1629
01:36:04,120 --> 01:36:05,840
Speaker 1: the Hudson River. I'd like to look into that actually,

1630
01:36:05,880 --> 01:36:08,400
Speaker 1: because I've another another fun fact about Buck. I've never

1631
01:36:08,520 --> 01:36:11,679
Speaker 1: been jet skiing. Would you not be worried about accidentally

1632
01:36:11,720 --> 01:36:16,120
Speaker 1: falling into the Hudson Hudson's fine, come on, that's fine.

1633
01:36:16,560 --> 01:36:19,760
Speaker 1: The amount of water in that same water that goes

1634
01:36:19,800 --> 01:36:22,120
Speaker 1: in the meadowlands where I love to go swimming right by,

1635
01:36:22,280 --> 01:36:25,160
Speaker 1: right by Giant Stadium, and the big chemical factories. Come on.

1636
01:36:25,320 --> 01:36:27,600
Speaker 1: I don't want to say what's probably floating in the

1637
01:36:27,680 --> 01:36:29,680
Speaker 1: Hudson Buck, but I think you and I can use

1638
01:36:29,720 --> 01:36:34,080
Speaker 1: our imaginations. It's probably true some people, probably some people

1639
01:36:34,120 --> 01:36:36,719
Speaker 1: sleeping with the fishes. It's that's the thing that happens

1640
01:36:36,760 --> 01:36:40,760
Speaker 1: there sometimes, Glenn, hey Buck, I will say that I

1641
01:36:40,840 --> 01:36:43,680
Speaker 1: do keep bing on my phone. Oh we have a

1642
01:36:43,760 --> 01:36:46,479
Speaker 1: bing user. The only reason I do is to see

1643
01:36:46,479 --> 01:36:50,120
Speaker 1: the websites that Google has censored from my search. When

1644
01:36:50,160 --> 01:36:52,799
Speaker 1: the story about Joe Biden talking about getting the Ukrainian

1645
01:36:52,880 --> 01:36:58,280
Speaker 1: age fires came out, Agi fired, not fires, A Google

1646
01:36:58,320 --> 01:37:00,640
Speaker 1: search gave me nothing. Per an infant being brought it

1647
01:37:00,840 --> 01:37:05,679
Speaker 1: right up. You should try it sometime, Agland. I don't

1648
01:37:05,720 --> 01:37:07,879
Speaker 1: know if I'm gonna switch over to big Look. Google's

1649
01:37:07,880 --> 01:37:12,200
Speaker 1: another lib company. Facebook is a lib company. Although actually

1650
01:37:12,479 --> 01:37:15,960
Speaker 1: I liked we we have that thing, didn't Mark Yep Zuckerberg.

1651
01:37:16,600 --> 01:37:18,280
Speaker 1: I like what he said, can we can we play

1652
01:37:18,360 --> 01:37:21,320
Speaker 1: clip fifteen? This is what he said about Facebook. But

1653
01:37:21,439 --> 01:37:25,000
Speaker 1: I think we've been pretty clear on what I think

1654
01:37:25,040 --> 01:37:28,040
Speaker 1: the right approaches, which is that I don't think that

1655
01:37:29,040 --> 01:37:34,280
Speaker 1: Facebook or Internet platforms in general should be arbiters of truth.

1656
01:37:34,400 --> 01:37:36,519
Speaker 1: I think that's a kind of a dangerous line to

1657
01:37:36,600 --> 01:37:40,200
Speaker 1: get down to in terms of deciding what is what

1658
01:37:40,680 --> 01:37:45,880
Speaker 1: is true and what isn't here he is Zuck. Well,

1659
01:37:45,920 --> 01:37:48,320
Speaker 1: I guess there's Jeff zucker and then there's Zuckerberg. I

1660
01:37:48,400 --> 01:37:50,559
Speaker 1: feel like Zuckerberg should be the guy who gets called.

1661
01:37:50,680 --> 01:37:53,240
Speaker 1: You know, he's the big He's zuck you know, he's

1662
01:37:53,280 --> 01:37:55,679
Speaker 1: the one. He's much bigger deal than than Jeff Zucker.

1663
01:37:55,760 --> 01:37:59,960
Speaker 1: Jeff Zucker is a glorified, glorified NBC producer who happened

1664
01:38:00,120 --> 01:38:03,920
Speaker 1: now run set and it's really insane. Where were we on?

1665
01:38:04,479 --> 01:38:07,720
Speaker 1: Oh yeah, it shouldn't be the arbiter of truth. He's

1666
01:38:07,720 --> 01:38:10,280
Speaker 1: absolutely correct. So Facebook is a little better on this

1667
01:38:10,400 --> 01:38:13,400
Speaker 1: than Twitter. But you know, the Libs love to dominate

1668
01:38:13,479 --> 01:38:15,960
Speaker 1: Twitter and they think that this is a necessary this

1669
01:38:16,160 --> 01:38:18,120
Speaker 1: is necessary for them, So we got to keep that

1670
01:38:18,240 --> 01:38:24,400
Speaker 1: in mind. All right. Next up we have to do

1671
01:38:24,640 --> 01:38:28,160
Speaker 1: rich shirt Buck. We got another Richard here. I wanted

1672
01:38:28,160 --> 01:38:30,760
Speaker 1: to give you a resistance story. Last year, I got

1673
01:38:30,840 --> 01:38:33,519
Speaker 1: a free couch from a friend. It's a good couch,

1674
01:38:33,880 --> 01:38:37,400
Speaker 1: except the foam cushions were worn out. So I called

1675
01:38:37,520 --> 01:38:39,880
Speaker 1: during all the shutdown madness to see when the foam

1676
01:38:40,040 --> 01:38:43,040
Speaker 1: guy will reopen. He tells me, I'm not shut down

1677
01:38:43,080 --> 01:38:45,240
Speaker 1: and bring the old ones to get a quote. He

1678
01:38:45,400 --> 01:38:48,679
Speaker 1: never shut down. It was still just as busy as normal,

1679
01:38:48,880 --> 01:38:51,680
Speaker 1: only require me to wear a mask. Four hours later,

1680
01:38:51,800 --> 01:38:56,120
Speaker 1: the couch is like new here in and see Kami

1681
01:38:56,280 --> 01:38:59,680
Speaker 1: Cooper is getting sued left and right. He lost to

1682
01:38:59,720 --> 01:39:02,360
Speaker 1: the churches, and now the bars and Jim's are suing.

1683
01:39:03,160 --> 01:39:05,600
Speaker 1: We might not have the convention now in Charlotte. I

1684
01:39:05,720 --> 01:39:10,040
Speaker 1: hope he loses in November. Foam shields high. All right, Richard,

1685
01:39:10,160 --> 01:39:16,600
Speaker 1: thanks man, cool story. There we go. You're in the

1686
01:39:16,760 --> 01:39:20,120
Speaker 1: Freedom Hunt. This is the Buck Sex and Show podcast.

1687
01:39:23,800 --> 01:39:25,840
Speaker 1: All right, we got Kyle a Buck. I agree with

1688
01:39:25,880 --> 01:39:29,560
Speaker 1: your guest David's opinion on voter requirements. I'm of the

1689
01:39:29,680 --> 01:39:34,000
Speaker 1: Starship Trooper's mindset. Service to the country earns you the

1690
01:39:34,120 --> 01:39:36,960
Speaker 1: right to vote, because serving means you have a stake

1691
01:39:37,080 --> 01:39:43,400
Speaker 1: in society. Heinlun wrote, when you vote, you're exercising political authority.

1692
01:39:43,640 --> 01:39:47,800
Speaker 1: You're using force, and force, my friends, is violence the

1693
01:39:47,880 --> 01:39:51,599
Speaker 1: supreme authority from which all other authorities are derived. Imagine

1694
01:39:51,600 --> 01:39:54,200
Speaker 1: if we gave the same scrutiny to voting as we

1695
01:39:54,360 --> 01:39:58,679
Speaker 1: do the ability to purchase a firearm, Kyle ella Quenton,

1696
01:39:58,720 --> 01:40:00,840
Speaker 1: perhaps a bit radical in you're a analysis, but uh,

1697
01:40:01,560 --> 01:40:03,600
Speaker 1: thank you very much for writing in Manum. Yeah, and

1698
01:40:03,680 --> 01:40:07,800
Speaker 1: I also think, um, I think that that at least

1699
01:40:07,880 --> 01:40:11,120
Speaker 1: making people show up. I think that's very reasonable, show

1700
01:40:11,200 --> 01:40:13,439
Speaker 1: up to have to vote and not just press a

1701
01:40:13,479 --> 01:40:16,280
Speaker 1: button on your smartphone like I vote. I don't think

1702
01:40:16,360 --> 01:40:19,559
Speaker 1: that's you know, you do have people that I believe

1703
01:40:19,680 --> 01:40:22,000
Speaker 1: want more. There are people that will talk about direct

1704
01:40:22,040 --> 01:40:24,600
Speaker 1: democracy where we would all just vote on you know,

1705
01:40:24,720 --> 01:40:26,920
Speaker 1: a whole range of issues from our phones. Right the

1706
01:40:27,280 --> 01:40:30,240
Speaker 1: governor could say, hey, we should should we do this thing?

1707
01:40:30,400 --> 01:40:32,160
Speaker 1: How should we spend this money? And everyone gets to

1708
01:40:32,240 --> 01:40:36,040
Speaker 1: vote on their phones. That that that turns into moboc

1709
01:40:36,160 --> 01:40:39,680
Speaker 1: receive very quickly. Nick, although the I know, I know

1710
01:40:39,840 --> 01:40:42,679
Speaker 1: there are referendums and there are things like this that happened.

1711
01:40:42,880 --> 01:40:47,160
Speaker 1: But nonetheless, Nick hey buck big fan from the original

1712
01:40:47,439 --> 01:40:51,439
Speaker 1: Saturday Squad o s S, just wanted to float something

1713
01:40:51,520 --> 01:40:54,080
Speaker 1: to see what you think. Is it possible that Biden's

1714
01:40:54,640 --> 01:40:59,320
Speaker 1: no malarkey tour was just a cover story for his slippage.

1715
01:41:00,080 --> 01:41:03,280
Speaker 1: He seems to have gotten pretty grumpy since then. Maybe

1716
01:41:03,439 --> 01:41:08,240
Speaker 1: someone saw it coming. Oh, producer Mark, what do you

1717
01:41:08,280 --> 01:41:11,400
Speaker 1: think Nick is saying here? I think slippage. I think

1718
01:41:11,439 --> 01:41:17,080
Speaker 1: he's talking about mentally Ah interesting, but I'm not really

1719
01:41:17,160 --> 01:41:19,519
Speaker 1: I'm I'm Nika, I kind of I don't know if

1720
01:41:19,600 --> 01:41:22,639
Speaker 1: you think that somebody who thinks they're slipping would say

1721
01:41:23,360 --> 01:41:25,360
Speaker 1: the normal Larkey tour. I don't see how that's a

1722
01:41:25,400 --> 01:41:27,160
Speaker 1: cover for I don't know, Nick. I look, I appreciate

1723
01:41:27,200 --> 01:41:29,439
Speaker 1: your writing, and I just don't I don't really see it.

1724
01:41:29,800 --> 01:41:35,840
Speaker 1: But thank you, Mica Buck forget Malta. Why don't we

1725
01:41:35,880 --> 01:41:38,040
Speaker 1: get in the late night salty producer Mark and Buck

1726
01:41:38,160 --> 01:41:44,160
Speaker 1: Drinking Booze podcast? Raise your glass and shields high? Um, Mica,

1727
01:41:44,360 --> 01:41:46,639
Speaker 1: I don't know. That'd be kind of fun, kind of fun.

1728
01:41:46,840 --> 01:41:49,519
Speaker 1: I don't know. You put a couple of drinks, Producer, Mark,

1729
01:41:49,560 --> 01:41:51,320
Speaker 1: We're got to We're got to take out the bleep

1730
01:41:51,360 --> 01:41:54,000
Speaker 1: button a lot, though, you know, I think that's the point.

1731
01:41:54,080 --> 01:41:57,040
Speaker 1: They don't. They want to do this on YouTube or something. Yeah,

1732
01:41:57,120 --> 01:41:59,080
Speaker 1: without bleeps, I don't be kind of fun, you know,

1733
01:41:59,439 --> 01:42:02,080
Speaker 1: be like Pruce, Mark, what's the worst what's the worst

1734
01:42:02,160 --> 01:42:04,920
Speaker 1: move that the New York Football Giants have ever made?

1735
01:42:04,960 --> 01:42:07,519
Speaker 1: It's like hit the deck. You're the Giants wouldn't do

1736
01:42:07,560 --> 01:42:10,599
Speaker 1: it the mets of the Rangers. You'd get me ranting, Yeah, there,

1737
01:42:10,760 --> 01:42:13,200
Speaker 1: there you go. I did see there was a funny

1738
01:42:13,280 --> 01:42:16,000
Speaker 1: Tom Brady exchange with did you see this one with

1739
01:42:16,080 --> 01:42:18,080
Speaker 1: Eli Manning? Back when I used to watch football, I

1740
01:42:18,160 --> 01:42:20,479
Speaker 1: saw Eli beat Tom Brady twice in the Super Bowl,

1741
01:42:20,720 --> 01:42:24,320
Speaker 1: greatest sporting events I've ever watched, both times, and at

1742
01:42:24,439 --> 01:42:28,639
Speaker 1: Eli or Brady made some Twitter comment to Eli about

1743
01:42:29,200 --> 01:42:32,200
Speaker 1: because he had just joined Twitter, you know, only showing

1744
01:42:32,320 --> 01:42:35,519
Speaker 1: up in the fourth quarter classic Eli. It was pretty funny. Actually, yeah,

1745
01:42:35,560 --> 01:42:37,639
Speaker 1: that is funny. But he shows up the fourth quarter

1746
01:42:37,720 --> 01:42:41,880
Speaker 1: to beat Tom Brady. So indeed, I will always say

1747
01:42:42,160 --> 01:42:46,559
Speaker 1: Eli Manning the most average quarterback of all time except

1748
01:42:46,600 --> 01:42:49,680
Speaker 1: for two quarters of his life. I mean, you know,

1749
01:42:49,720 --> 01:42:52,439
Speaker 1: you only need you only need two big wins to

1750
01:42:52,560 --> 01:42:54,519
Speaker 1: be a legend. This is that's why he's a whole.

1751
01:42:54,600 --> 01:42:56,920
Speaker 1: He's most likely Hall of Famer off of two games,

1752
01:42:57,160 --> 01:42:59,559
Speaker 1: or I'll give made games the whole playoffs belf years. Yeah,

1753
01:42:59,600 --> 01:43:02,559
Speaker 1: but people forget this. I mean Churchill, for example, Winston Churchill,

1754
01:43:02,560 --> 01:43:06,960
Speaker 1: the British Prime Minister. You all know Churchill was very

1755
01:43:07,200 --> 01:43:09,679
Speaker 1: a very prolific writer and has all these sayings attributed

1756
01:43:09,720 --> 01:43:12,840
Speaker 1: to him, and it has this whole character. He was

1757
01:43:12,960 --> 01:43:16,000
Speaker 1: wrong about a lot of stuff. People forget this now,

1758
01:43:16,200 --> 01:43:21,360
Speaker 1: but he was right about the single most important thing

1759
01:43:21,520 --> 01:43:25,320
Speaker 1: at the single most important time, probably the twentieth century,

1760
01:43:25,360 --> 01:43:27,280
Speaker 1: which was the evils of Nazism and the need to

1761
01:43:27,320 --> 01:43:29,800
Speaker 1: get So. Yeah, that's what I'm saying. You have one

1762
01:43:30,040 --> 01:43:33,160
Speaker 1: huge win, and that's what you're known for, you know.

1763
01:43:33,439 --> 01:43:36,040
Speaker 1: He According to Wayne Gretzky Michael Scott, you missed one

1764
01:43:36,080 --> 01:43:39,200
Speaker 1: hundred percent of the shots you don't take. There you go.

1765
01:43:40,680 --> 01:43:44,599
Speaker 1: True story. Greg Buck just wanted to say something cool

1766
01:43:44,680 --> 01:43:46,880
Speaker 1: for Roll Call because I get way too riled up

1767
01:43:46,920 --> 01:43:50,000
Speaker 1: from listening to you daily. Mel Gibson is the greatest

1768
01:43:50,080 --> 01:43:53,080
Speaker 1: actor of all time, and Braveheart is the greatest movie

1769
01:43:53,120 --> 01:43:56,759
Speaker 1: of all time and also the greatest soundtrack of all time. Thanks.

1770
01:43:57,600 --> 01:43:59,160
Speaker 1: I mean, that's a lot of greatest of all that's

1771
01:43:59,200 --> 01:44:01,360
Speaker 1: a lot of go a lot of greatest of all time.

1772
01:44:02,400 --> 01:44:05,400
Speaker 1: Braveheart is my favorite movie to this day. It just

1773
01:44:05,640 --> 01:44:07,679
Speaker 1: is my favorite movie. I can't say that Mel Gibson's

1774
01:44:07,720 --> 01:44:11,320
Speaker 1: my favorite actor. He was great in a bunch of things,

1775
01:44:12,400 --> 01:44:14,320
Speaker 1: but I wouldn't say he's my favorite. Actually, I don't

1776
01:44:14,320 --> 01:44:17,479
Speaker 1: know producer Mark, do you have a favorite all time actor?

1777
01:44:17,840 --> 01:44:20,840
Speaker 1: I don't know how you even say that, you that

1778
01:44:21,000 --> 01:44:24,760
Speaker 1: there is the greatest actor of all time, Like can

1779
01:44:24,800 --> 01:44:28,040
Speaker 1: you really name one? Or like there's so many movies.

1780
01:44:28,120 --> 01:44:29,920
Speaker 1: Be a better way to put a movie your all

1781
01:44:30,000 --> 01:44:33,080
Speaker 1: time favorite. I don't even think I could say that.

1782
01:44:34,240 --> 01:44:36,400
Speaker 1: I don't know. I don't think. I don't think one

1783
01:44:36,439 --> 01:44:38,240
Speaker 1: comes I think a lot of people would probably start

1784
01:44:38,280 --> 01:44:42,040
Speaker 1: saying things like Tom Hanks. A lot of people would say.

1785
01:44:42,439 --> 01:44:45,200
Speaker 1: For some people, maybe Harrison Ford. If you're looking for

1786
01:44:45,280 --> 01:44:46,960
Speaker 1: male act you know there's male actors feeling. I think

1787
01:44:47,040 --> 01:44:49,840
Speaker 1: Denzel comes up. I was gonna say Denzel would come

1788
01:44:49,920 --> 01:44:53,120
Speaker 1: up for a lot of folks. Um, you know, some

1789
01:44:53,240 --> 01:44:55,960
Speaker 1: people if you're really into like the most sort of

1790
01:44:56,040 --> 01:44:59,240
Speaker 1: pure acting method and everything else would say Daniel day Lewis.

1791
01:45:00,040 --> 01:45:01,599
Speaker 1: You know these are these are some of the great

1792
01:45:01,920 --> 01:45:04,760
Speaker 1: male And then everyone always says Meryl Streep on the

1793
01:45:04,840 --> 01:45:08,840
Speaker 1: female side. I don't know. I'm not as impressed as

1794
01:45:08,880 --> 01:45:12,599
Speaker 1: everybody else. I'd put Steve Correll up there, greatest all

1795
01:45:12,680 --> 01:45:17,040
Speaker 1: time act I'd put him up there is just most versatile.

1796
01:45:18,120 --> 01:45:19,720
Speaker 1: He could do comedy, he can do drama, and he

1797
01:45:19,760 --> 01:45:21,680
Speaker 1: always makes you laugh or he makes you cry. I

1798
01:45:21,720 --> 01:45:25,400
Speaker 1: mean The Office is one of the greatest comedic collaborations

1799
01:45:25,840 --> 01:45:28,400
Speaker 1: of apparently space for shrup today, I'm gonna have to

1800
01:45:28,439 --> 01:45:30,800
Speaker 1: watch that after the show. Wait is he in that? Yeah?

1801
01:45:30,840 --> 01:45:32,640
Speaker 1: I told you it's the show that would say the

1802
01:45:32,760 --> 01:45:35,719
Speaker 1: creator of the Office and him teamed up again. Where

1803
01:45:36,120 --> 01:45:40,280
Speaker 1: it's on Netflix? Oh my gosh, sign me up. I

1804
01:45:40,520 --> 01:45:42,240
Speaker 1: thank you for the reminder, producer, Mark. That's what I'm

1805
01:45:42,240 --> 01:45:44,800
Speaker 1: gonna spend my weekend doing that and getting the Snow

1806
01:45:44,800 --> 01:45:46,680
Speaker 1: Princess to make me some cookies. She makes the best

1807
01:45:46,720 --> 01:45:49,280
Speaker 1: cookies on planet Earth. I'm telling you it's amazing. I'll

1808
01:45:49,320 --> 01:45:51,320
Speaker 1: bring you some when the quarantine end. Please. There really

1809
01:45:51,360 --> 01:45:54,519
Speaker 1: are the best guy. She makes them gluten full instead

1810
01:45:54,520 --> 01:45:59,600
Speaker 1: of gluten free for other people. So, Dennis, since I

1811
01:45:59,680 --> 01:46:02,560
Speaker 1: didn't you mentioned watching the Ulysses Grant documentary which just

1812
01:46:02,720 --> 01:46:05,280
Speaker 1: recently aired on the History Channel, and knowing your interest

1813
01:46:05,320 --> 01:46:06,800
Speaker 1: in history, I thought it'd be worth letting you know.

1814
01:46:06,840 --> 01:46:08,760
Speaker 1: I found it very well done and worth viewing. Grant

1815
01:46:08,880 --> 01:46:11,360
Speaker 1: is one that has seemingly overlooked in our country, yet

1816
01:46:11,400 --> 01:46:13,120
Speaker 1: it could be argued played a major role in our

1817
01:46:13,240 --> 01:46:16,320
Speaker 1: country's history. Thanks, as always for the great content you

1818
01:46:16,400 --> 01:46:18,439
Speaker 1: put into each show and allowing your listeners viewers a

1819
01:46:18,520 --> 01:46:22,799
Speaker 1: chance to opine. Shield Time asks low, my man Dennis,

1820
01:46:22,880 --> 01:46:25,280
Speaker 1: I like it. Shield Time asks low, indeed, and then

1821
01:46:25,320 --> 01:46:30,760
Speaker 1: one more Andrew. Sanctimonious mask shamers are annoying and irritating.

1822
01:46:31,120 --> 01:46:34,160
Speaker 1: But I've been thinking about a counter strike. What if

1823
01:46:34,280 --> 01:46:38,200
Speaker 1: people in great numbers began wearing Maga Trump Pence twenty

1824
01:46:38,280 --> 01:46:42,280
Speaker 1: twenty masks everywhere in public? Would this suddenly change the

1825
01:46:42,520 --> 01:46:45,519
Speaker 1: mask love that zealous libs have. I would wear one,

1826
01:46:45,720 --> 01:46:49,000
Speaker 1: thanks and she'll tie. Um. I know I think I

1827
01:46:49,080 --> 01:46:52,040
Speaker 1: brought this up. I might have said this. Maybe I

1828
01:46:52,120 --> 01:46:53,639
Speaker 1: said I don't know. I think I said this last

1829
01:46:53,720 --> 01:46:55,360
Speaker 1: night on one of my shows. I said it somewhere.

1830
01:46:56,439 --> 01:46:59,120
Speaker 1: But yeah, I if you started wearing a Maga had

1831
01:46:59,160 --> 01:47:01,519
Speaker 1: in New York City Ramaga mask in New York City,

1832
01:47:02,920 --> 01:47:04,800
Speaker 1: people would no longer give you credit for being a

1833
01:47:04,920 --> 01:47:08,479
Speaker 1: person of science who cares about people. You're terrible. You're

1834
01:47:08,479 --> 01:47:11,439
Speaker 1: like Trump. Everybody, have a great weekend. Please do pass

1835
01:47:11,520 --> 01:47:16,719
Speaker 1: the buck. Share on YouTube my interview with President Trump.

1836
01:47:16,760 --> 01:47:18,840
Speaker 1: You check it out on YouTube dot com. Slash Buck

1837
01:47:18,920 --> 01:47:22,439
Speaker 1: Sexton Past the Podcast, Past the Buck, talk to you Monday,

1838
01:47:22,800 --> 01:47:23,400
Speaker 1: she'll tie