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Speaker 1: Mr Garbutshaw teared down this wall. Either you're with us

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Speaker 1: or you were with the terrorists. If you've got healthcare already,

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Speaker 1: then you can keep your plan. If you are satisfied

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Speaker 1: with is not present, take bank together. We will make

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Speaker 1: America great again. Never sharend. It's what you've been waiting

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Speaker 1: for all day. The buck Sexton Show. Join the conversation

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Speaker 1: called Buck toll free at eight four four nine hundred buck.

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Speaker 1: That's eight four four nine hundred to eight to five

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Speaker 1: the Future of talk radio. Buck Sexton, Welcome to the

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Speaker 1: Buck Sexton Show. Everybody, great to have you here with me,

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Speaker 1: very much, appreciate it, honor approved edge and a pleasure.

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Speaker 1: You want to chat with me eight four or four

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Speaker 1: eight to five eight four four nine d buck. We

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Speaker 1: should definitely have a talk about all of all of

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Speaker 1: the things that are going on right now in the world,

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Speaker 1: whatever is on your mind, whatever particularly catches your fancy. Um, So,

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Speaker 1: the biggest thing going on right now is the march

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Speaker 1: to the wall. Now, when I say that, you could

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Speaker 1: think of two things. One, this caravan that has decided

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Speaker 1: that it is it is no longer going do we

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Speaker 1: have the caravan has stopped for now? Right but I

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Speaker 1: would not take that to the bank, folks. Cart caravans, stop,

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Speaker 1: caravans go. It's the nature of these things. It might

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Speaker 1: just be laying low until the political winds shift a

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Speaker 1: little bit. They may decide to go to a different area,

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Speaker 1: try and cross. We shall see. We will delve into that.

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Speaker 1: But we could also be talking about the march to

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Speaker 1: our border from the north by members of the National Guard.

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Speaker 1: President Trump has sent the National Guard to the border

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Speaker 1: to help with border security in response to the unacceptable

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Speaker 1: flow of drugs, criminal activity, and illegal immigrants. Before I

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Speaker 1: go much deeper into what all this means, let's just

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Speaker 1: ask a very basic question. I want to focus on immigration,

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Speaker 1: the basics of it in some ways, because we have

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Speaker 1: to deprogram ourselves. Much of what we believe, much of

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Speaker 1: what we think when it comes to immigration, is in

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Speaker 1: fact not true, because there has been a concerted campaign,

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Speaker 1: a collaboration, if you will, between the Democrats and the

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Speaker 1: left wing mainstream media and the elite establishment in this country,

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Speaker 1: and and a by bipartisan fashion. Folks, a lot of

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Speaker 1: a publicans get blame on this one too. But to

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Speaker 1: convince us all that immigration doesn't really need to be

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Speaker 1: enforced immigration is always good. The more the merrier, in fact,

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Speaker 1: not just the more of the marrier. We have an

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Speaker 1: obligation to take in as many people from the third

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Speaker 1: world as possible, as many people who can come into

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Speaker 1: the country who are in desperate need of assistance. That

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Speaker 1: would because we have an obligation, because we've done bad

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Speaker 1: things in the rest of the world. You see, it

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Speaker 1: is in some ways an expansion or an addendum to

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Speaker 1: the post colonial thinking of the academic elite. Right. They

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Speaker 1: think America did all these bad things all over the world,

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Speaker 1: and that's why there are problems. Why is the midiast

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Speaker 1: so messed up? Oh, it's America's fault, right. Why is

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Speaker 1: South America Central America? Why do they have all these

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Speaker 1: problems they've got depending on the country. Uh, it's America's fault.

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Speaker 1: So what should we do to make up for it?

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Speaker 1: Just bring them in. The more of the merrier, right,

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Speaker 1: the more people we can bring into this country, the better.

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Speaker 1: Why is why does Mexico have the problems that it tells?

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Speaker 1: They'll say it's America's fault. In fact, on the very

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Speaker 1: issue of the opioid epidemic, of of the drugs that

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Speaker 1: are flooding into this country from Mexico. You will notice

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Speaker 1: that there are there are Mexican politicians. I have heard

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Speaker 1: them say it, and there are certainly a lot of

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Speaker 1: journalists as well who blame the problems of Mexico's police

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Speaker 1: and governmental corruption on the United States, because you see,

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Speaker 1: we're the market for the drugs. Therefore, it's our fault

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Speaker 1: that cartel's run parts of that country the way they do.

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Speaker 1: It's our fault that there is endemic corruption across the

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Speaker 1: Mexican government and security forces. Right What most people don't

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Speaker 1: ever get to stop and think is, hold on a second,

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Speaker 1: what is it due to our country we have? You know,

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Speaker 1: we have a country right next door that is turning

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Speaker 1: a blind eye to vast illegal immigration that has been

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Speaker 1: going on for decades. And that is a necessary component

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Speaker 1: of the strategy of setting up uh coyotes, smugglers, setting

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Speaker 1: up these smuggling networks, establishing forward operating positions for the

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Speaker 1: drug cartels in America for the distribution distribution of substances

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Speaker 1: that are now killing over sixty thousand of US a year.

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Speaker 1: And as I've said to you, and it should not

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Speaker 1: have been hard to figure this out, but it's taken

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Speaker 1: some time, some number crunching, and finally the truth is

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Speaker 1: getting out. It's not mostly oxycon that people are overdosing on.

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Speaker 1: It's not mostly drugs that you can actually get a

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Speaker 1: prescription for and for which there are real medical needs.

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Speaker 1: That's a component of the problem, but it is a

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Speaker 1: much smaller piece of this puzzle, and we've been led

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Speaker 1: to leave Why is that all? Because if Americans actually

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Speaker 1: started to think, hold on a second, having an unsecure border,

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Speaker 1: having vast, uncontrolled, near unrestricted illegal immigration into the country

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Speaker 1: for years and years and years, isn't just a problem

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Speaker 1: for the economy. It isn't just a problem for cultural cohesion.

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Speaker 1: It's a security problem that is costing thousands of lives

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Speaker 1: each year. You do not have, You flatly do not

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Speaker 1: have the heroin overdoses and fentanyl overdoses that have been

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Speaker 1: occurring in this country. If they weren't growing heroin now

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Speaker 1: in the highlands of Mexico, a lot harder to get

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Speaker 1: the stuff here from Afghanistan, folks, if you didn't have

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Speaker 1: cartels both making their own illegal fentanyl and bringing in

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Speaker 1: from vast labs in China, so it moves from the

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Speaker 1: Chinese labs into Mexico and then across our border via

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Speaker 1: the Mexican cartel pipelines, which are the same pipelines as

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Speaker 1: illegal and it's the same pipelines that use human smuggling.

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Speaker 1: In fact, the human smuggling networks provide money for these

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Speaker 1: organizations that are also moving to drugs. The same thing, right,

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Speaker 1: if you're if you know where, if you're moving people

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Speaker 1: across the board, if you're doing illegal things, why would

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Speaker 1: you stop it? Moving people who as we know also

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Speaker 1: we'll sometimes get killed in the process. A lot of

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Speaker 1: women are are raped by this, the smugglers. The terrible

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Speaker 1: things happen due to the human smuggling involving we call

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Speaker 1: them coyotes, you know, but the human smugglers tied to

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Speaker 1: the cartels. And we're having this this change in perception

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Speaker 1: about what this all means for us. You know that

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Speaker 1: we have a multibillion dollar media apparatus in this country.

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Speaker 1: We have I can't even count how many different I

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Speaker 1: can't even name all the different organizations that have investigative reporters,

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Speaker 1: that's what they call them, investigative reporters on their staffs.

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Speaker 1: How many of them have been investigating what's going on

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Speaker 1: with MS thirteen, last couple of years, last ten years,

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Speaker 1: even very few, There are some, but very few. How

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Speaker 1: many of them are looking into the opioid epidemic and

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Speaker 1: tying it to illegal immigrant communities because it is necessary

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Speaker 1: for the cartels to have illegal immigrants in an area

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Speaker 1: that they can use for cover for the actions are taken,

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Speaker 1: which is selling the drugs that are killing so many

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Speaker 1: of us, and looking at what's going on across the border,

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Speaker 1: and also any complicity on the part of the Mexican government.

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Speaker 1: The answer is very very few. Why is that because

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Speaker 1: they're not interested in it. Why it's a fascinating story,

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Speaker 1: isn't it. And you've got you've got life and death issues, drugs, cartels, violence,

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Speaker 1: government corruption, nation changing stuff here over the long run,

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Speaker 1: with the flow of illegals into the country, what that

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Speaker 1: does to our political climate, what it does to our

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Speaker 1: economy over time, and and and then the drug drug

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Speaker 1: epidemic worse than it's ever been, hitting hearts of the

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Speaker 1: country that aren't used to thinking about any kind of

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Speaker 1: criminal threat that could be mortal. Really right, it's hitting

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Speaker 1: areas that otherwise would be quite safe and quite peaceful,

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Speaker 1: and we're it's just all now coming out, and why

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Speaker 1: because we have a president that we have been told

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Speaker 1: by that same media is a liar, is allowed, is grotesque,

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Speaker 1: doesn't know anything. And here we are finally having the discussion.

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Speaker 1: The truth is coming out. It's taken quite a while.

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Speaker 1: It's becoming acceptable to discuss these issues in public and

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Speaker 1: not worry you're gonna lose your job, lose your reputation

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Speaker 1: because the left can't change the facts. They can hide them,

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Speaker 1: but they can't really change them. They can come up

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Speaker 1: with fake news, but the truth is in fact to

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Speaker 1: borrow from. Um, what's the show with the aliens? With

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Speaker 1: the FBI guys, you know what I'm talking about, the

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Speaker 1: X files. The truth is out there. The truth is

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Speaker 1: out there. It's out there own immigration. So I think

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Speaker 1: the Trump sending a national guard is essential. And the

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Speaker 1: I don't even know if I ask you this basic question.

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Speaker 1: This is where I was going initially, and then I

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Speaker 1: got a little bit of a rant, a little of

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Speaker 1: a tear. Why didn't other presidents do this? This is

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Speaker 1: a national security issue. Why hasn't the national Guard? And

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Speaker 1: I know what people say, it's been done, but bomb administration,

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Speaker 1: I didn't want to do this. Why and why is

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Speaker 1: it so strange to the media that this is happening

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Speaker 1: such a shock to them? Right now, we'll get into

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Speaker 1: this and and much more. I have updates for you

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Speaker 1: or it won't be all that much. But an update

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Speaker 1: on the the YouTube shooting yesterday that was just because

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Speaker 1: that was the whole thing is just bizarre. Only the

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Speaker 1: shooter was killed, so that's very fortunate. Um. Well, we've

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Speaker 1: got information on her, which I'm sure some of you

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Speaker 1: have seen, but whoa, UM also discuss uh the latest

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Speaker 1: of the Mother probe. Dershuitz will weigh in later on

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Speaker 1: the show as a sound bite, not a guest. That

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Speaker 1: makes it sounds like I was gonna have. We got

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Speaker 1: Emily Compania, who honestly I'd much rather have than Dershwitz.

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Speaker 1: So there's that. Um. We'll talk to her about what's

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Speaker 1: going on with the Mother investigation at this point in time,

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Speaker 1: and uh oh and Amazon and Trump and all the

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Speaker 1: fighting over Amazon. Will get into that too, and Chinese tariffs. Man,

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Speaker 1: I got we gotta packed. It's a good thing. I've

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Speaker 1: got three hours. See I'm not I'm not, damn. Rather,

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Speaker 1: I don't do a thirty minute show here. We'll talk

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Speaker 1: about that as well. I just laid out a whole

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Speaker 1: laundry list. Folks will hit it. I'll be right back.

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Speaker 1: Stay with me. Word security is home in security, which

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Speaker 1: is national security. It's not a partisan issue. It's not

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Speaker 1: something we can separate out. It's core to being a

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Speaker 1: sovereign nation. The President has reiterated this many times. In fact,

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Speaker 1: he has specifically said that a sovereign nation that cannot

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Speaker 1: or worse not chooses not to defend it supporters will

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Speaker 1: soon seize, in fact, to be a savereign nation. The

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Speaker 1: threat is real. D h S Secretary Kirsty Nielsen. They're

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Speaker 1: saying that this is a security issue top to bottom,

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Speaker 1: and it's time to do something about about the border.

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Speaker 1: And this president has finally decided to be as proactive

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Speaker 1: as he can on this issue. I think that he

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Speaker 1: also recognized that the Omnibus bill upset a lot of

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Speaker 1: us in his in his corner, myself included you know

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Speaker 1: that I told you about that what had happened. I

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Speaker 1: felt like the President did not give us. You know,

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Speaker 1: it was not as promised. That is for sure. The

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Speaker 1: Omnibus bill was not good enough. And the big part

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Speaker 1: of it that was a miss. The fact that there

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Speaker 1: was not really wall fund. There was a little wall funding,

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Speaker 1: but nothing, nothing significant, not enough. And so now we're

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Speaker 1: seeing a president who's taking all the actions that he

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Speaker 1: can from a purely executive authority. Standpoint to here the

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Speaker 1: border and who's who's the guests eating. The media is like, wow,

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Speaker 1: the president that is going to go with the rule

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Speaker 1: of law. Here, this we should really encourage. This is great,

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Speaker 1: you know. Oh no, oh no, they think this is

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Speaker 1: some kind of terrible human rights abuse. They hate this

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Speaker 1: idea of securing the border. They absolutely hate it. I'm

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Speaker 1: not sure to understand what the emergency for this is.

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Speaker 1: It seems like it ramped up interest over the last

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Speaker 1: several days and since the weekend. In fact, the House

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Speaker 1: is not here, the Senate is not here. Um, why

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Speaker 1: is this such an urgent priority right now for the

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Speaker 1: president to sign? We are seeing more and more advertising

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Speaker 1: and very unfortunately by the traffickers and smugglers to ourselves,

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Speaker 1: specific to how to get around our system and enter

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Speaker 1: our country and stay. We have documented cases of borrowing children,

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Speaker 1: of carrying out the border as a family unit in

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Speaker 1: a fraudulent way. So, oh, you mean people abuse our

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Speaker 1: immigration laws and lie and commit fraud so they can

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Speaker 1: exploit the loopholes. What a shock. I've been telling you

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Speaker 1: how many times some I've been saying to you. You know,

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Speaker 1: we got a lot of unaccompanied seventeen year olds at

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Speaker 1: the border who are actually twenty five. A lot of

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Speaker 1: people who are like, yeah, that's my kid, Take me

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Speaker 1: in and then let me let me go inside the US.

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Speaker 1: And there's there's never going to be accountability for this.

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Speaker 1: Our border security system is a joke. If foreigners can

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Speaker 1: show up, lie and no, there's a ninety chance they're

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Speaker 1: gonna get to stay. Another thing, by the way, do

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Speaker 1: you really think that the border, the border patrol is

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Speaker 1: able to determine on the spot without any papers or identification.

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Speaker 1: Of course they don't have that right there on documented

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Speaker 1: tell the difference in whether someone's coming from Honduras or

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Speaker 1: Else Salvador or you know, Mexico, Bolivia, who knows and

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Speaker 1: even who shows up who it seems like they can

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Speaker 1: pass for coming from Latin America. Heck, I mean they're

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Speaker 1: probably guys are showing up who weren't even from Latin America,

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Speaker 1: were saying, yeah, I'm from El Salvador, Take me in.

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Speaker 1: You know, you don't even speak Spanish. Details I'm fleeing violence.

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Speaker 1: You say, buck, No, there's a court system, and they

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Speaker 1: they don't even show up for court. We don't enforce

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Speaker 1: the laws. We don't tell people that that's what's going on,

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Speaker 1: or the media does tell people that's what's going on.

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Speaker 1: But it's the truth. Once you're here, you get to stay.

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Speaker 1: I mean, heck, do you even had Democrats? Until Democrats recently,

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Speaker 1: I have been willing to stand up for keeping everyone

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Speaker 1: in this country is here illegally up to an including criminals,

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Speaker 1: as long as they weren't really dangerous, violent criminals. And

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Speaker 1: even then you get the sense there's some Democrats who

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Speaker 1: are like, no, there there are problem. Now. Yeah, it's

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Speaker 1: not it's not a U. S. Citizen and it's not

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Speaker 1: somebody who's league allowed to be here. And it's a

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Speaker 1: gang member who's got blood on his hands. Let's not

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Speaker 1: send let's not be mean, deport him, send him back

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Speaker 1: to his home country. What kind of kind of savages

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Speaker 1: are we if we do such a thing, right, you

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Speaker 1: get the sense that, I mean, the Democrats have completely

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Speaker 1: lost it on this one. But this is what I

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Speaker 1: keep saying, If they could only be normal and pose

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Speaker 1: as a party that cared about a party that really

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Speaker 1: just cared about health care and all, let's give more

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Speaker 1: money to the teachers unions or for quote education, and

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Speaker 1: we we want to help the work in man and

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Speaker 1: we were all that stuff. They might have it, they

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Speaker 1: might have a real shot in the mid terms, but

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Speaker 1: the problem is they're actually a far left party. Now

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Speaker 1: there is no more there's no more constituency or or

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Speaker 1: there's no more representation of a constituency that would have

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Speaker 1: been in line with you know, the Democrats of thirty

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Speaker 1: fourty years ago. That's why people keep talking about what

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Speaker 1: Reagan was facing. There were there were pretty normal, reasonable

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Speaker 1: Democrats in the Congress that that Reagan could work with. Right,

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Speaker 1: there are actually people who could be counted on to

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Speaker 1: see things with a rational with a rational ie from

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Speaker 1: the other party. You don't have a lot of that, now,

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Speaker 1: do you. No, you do not. I mean, look at

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Speaker 1: who runs Look at who runs things for the Democrats.

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Speaker 1: It's the far left. And on immigration, the far left

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Speaker 1: means that they are a party of amnesty, the party

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Speaker 1: of lawlessness, and the party of you better pay your

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Speaker 1: taxes to the letter so that we can just increase

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Speaker 1: access for illegal and access is just a nice way

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Speaker 1: of saying welfare, uh, to illegal aliens in this country,

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Speaker 1: for health care, for for school, for everything else and

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Speaker 1: the stuff that people say. You know, I've actually had

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Speaker 1: some pretty uncomfortable exchanges with folks from the libertarian side

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Speaker 1: on this too, some of these libertarian think tanks that

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Speaker 1: will not remain that will remain unnamed. Where though, so

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Speaker 1: you know, no, everything that every every immigrant just could

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Speaker 1: just contribute to the economy, well yeah, I'm sure, but

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Speaker 1: what do they take from the economy? What's the cost?

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Speaker 1: And also what is the cost to a rule of law?

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Speaker 1: You know, I'm gonna have to write a very painful

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Speaker 1: check to the I R S this week. I'm actually

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Speaker 1: gonna do it probably tomorrow. I don't get to say,

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Speaker 1: you know, I just I'm gonna do really good things

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Speaker 1: on the money. I'm gonna give a lot more of

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Speaker 1: it to charity. If I just don't have to pay

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Speaker 1: my taxes, and it also doesn't matter, It doesn't matter

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Speaker 1: any of you. Right, if I didn't pay my tax

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Speaker 1: doesn't matter any of you. It is irrational to think

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Speaker 1: that one person's taxes matter. Oh but it's the law.

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Speaker 1: So I'm a citizen. I respect the law and I

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Speaker 1: obey it even on our own agree with it. Why

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Speaker 1: does something not seem right? Then with our immigration enforcement,

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Speaker 1: he's holding the line for America, buck Sexton his back.

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Speaker 1: We stepped up the targeting of dangerous criminal gangs such

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Speaker 1: as MS thirteen. We removed thousands more criminal aliens than

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Speaker 1: the year prior. We no longer exempt entire classes of

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Speaker 1: illegal aliens from the consequences of breaking our immigration laws.

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Speaker 1: We began the first new border while system construction in

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Speaker 1: close to a decade. We modified our asylum system processing

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Speaker 1: to more quickly adjudicate claims. And we ended so called

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Speaker 1: temporary immigration programs that were either constitutionally dubious or were

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Speaker 1: administered in a manner that was inconsistent with the purpose

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Speaker 1: of the law or contrary to the intent of Congress.

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Speaker 1: Despite these actions, we've recently seen the numbers of illegal

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Speaker 1: border crossings rise from forty year low's last April to

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Speaker 1: pre back to previous levels. Our current border security and

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Speaker 1: immigration laws failed the American people. Really good rundown there

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Speaker 1: from DHS Secretary Nielsen about what they're doing and what

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Speaker 1: they're facing right now. My friends, this has been going

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Speaker 1: on for decades. As you mentioned three in that same speech,

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Speaker 1: three hundred thousand legal alien crossers each year, three hundred

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Speaker 1: thousand a year. There's a lot of people coming into

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Speaker 1: a country who are completely unvetted who you know, We

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Speaker 1: don't We don't know what they're gonna do when they

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Speaker 1: get here. We don't know if we can count on

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Speaker 1: them to contribute to the economy or if there'll be

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Speaker 1: a net drain on the economy. We don't know if

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Speaker 1: they're going to act in ways that are in compliance

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Speaker 1: with the rest of our laws. And most importantly, we're

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Speaker 1: bringing them into our polity, into our political tribe, if

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Speaker 1: you will, this thing called America without being invited. Now

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Speaker 1: there are responsibility. Now, this is an imposition on all

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Speaker 1: the American people. As you're you know, getting ready, if

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Speaker 1: you're having if you haven't already done it, you pay

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Speaker 1: your taxes this week. Just remember that this is theft

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Speaker 1: that is going on. It is theft the Democrats, just

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Speaker 1: like how China steals their intellectual property. You can come

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Speaker 1: up with a lot of different ways. Oh, no, they're

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Speaker 1: just it's a program and we're information sharing. No, they're stealing.

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Speaker 1: Chinese government is stealing. And if you start to break

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Speaker 1: this down into information as dollars and dollars as time.

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Speaker 1: People that are doing a lot of R and D

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Speaker 1: for high tech US companies and that see that gets

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Speaker 1: siphoned off to China through illicit means. It's like their

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Speaker 1: time is being stolen from them, right, their money is

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Speaker 1: being stolen because now you're gonna have Chinese companies that

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Speaker 1: are able to use those same those that same information,

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Speaker 1: those proprietary secrets for their own benefits. So when you

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Speaker 1: pay your taxes, now understand the Democrats are complicit. I

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Speaker 1: shouldn't even say complicit. Democrats are masterminding a vast scheme

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Speaker 1: two under my eye, the rule of law, but also

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Speaker 1: to redistribute your wealth to people that aren't even allowed

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Speaker 1: to be in the country. People who say illegal aliens

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Speaker 1: don't get federal ben are lying to you. There are

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Speaker 1: all kinds of ways they get benefits. The biggest benefit

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Speaker 1: I would note is to be in America and to

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Speaker 1: work here and to enjoy our rule of law, our systems,

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Speaker 1: our day to day life. That's the biggest benefit of

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Speaker 1: being here. I mean, yeah, there's also a whole lot

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Speaker 1: of federal welfare programs. But what people want more than

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Speaker 1: anything else is they would like to be in this country.

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Speaker 1: And so if they just take that there is a

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Speaker 1: value there, there was value in it. Um, how just

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Speaker 1: one more thing here, I don't I don't buy that

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Speaker 1: the caravan is done, this caravan of a thousands Central

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Speaker 1: Americans marching through Mexico on their way to the knowing

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Speaker 1: that they're just going to turn themselves in an undercurrent

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Speaker 1: law because the Democrats. Remember if if the Republican Congress,

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Speaker 1: you know, as I say this, why the heck isn't

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Speaker 1: the Republican Congress trying to do this at least force

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Speaker 1: the Democrats hand on it, make them filibuster. I I thought, you,

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Speaker 1: we can't trust Republicans on this. I think Trump is

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Speaker 1: serious about it, but you can't trust Paul Ryan on immigration.

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Speaker 1: Paul Ryan is terrible on immigration, terrible. He's right along,

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Speaker 1: right along with the you know, let's do get let's

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Speaker 1: do lots of guessworker programs, and let's do a mass amnesty.

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Speaker 1: And he'd give Nancy Pelosi pretty much everything she wants

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Speaker 1: for her you know, the the Pelosi preferred immigration program.

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Speaker 1: Because right now is the time for the Republican Congress

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Speaker 1: to pass measures to address exactly what DHS Secretary Nielsen

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Speaker 1: was talking about, to restore sovereignty and rule of law

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Speaker 1: when it comes to our immigration system and our border.

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Speaker 1: Make the Democrats filibuster, make them stand up and state

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Speaker 1: their case that they don't really believe that we are

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Speaker 1: allowed to have borders. We can, we can have administration

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Speaker 1: at the borders. Oh yeah, we'll know who's coming in,

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Speaker 1: but we can't really turn anyone away, and we certainly

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Speaker 1: can't expel anyone once they've gotten into this country. That's

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Speaker 1: but but I don't believe that this caravan is done. Um.

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Speaker 1: I have a feeling that Okay, right now Trump is

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Speaker 1: mentioning or as Trump has decided to activate National Guard,

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Speaker 1: that's gonna be under the control of the governors in

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Speaker 1: various states. And I know, before people start calling in, yeah,

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Speaker 1: the Bush administration did this too. I'm not saying it's unprecedented,

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Speaker 1: but it shouldn't be surprised. The media's are, oh my god,

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Speaker 1: you're militarized border are freaking out about it. What's the

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Speaker 1: alternative to continue as we are right now? To continue

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Speaker 1: as is? That's really no alternative in the long run,

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Speaker 1: it just leads to disaster. Tim and Rhode Island. You've

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Speaker 1: got thoughts on this, we want to hear him. Yes, sir,

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Speaker 1: you're on radio. Hey, how's it going. It's good? What's up? Hey?

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Speaker 1: Thanks for having thanks for having me on. So let's

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Speaker 1: not get this twisted. The Democrats want these people in

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Speaker 1: this country because they want votes. Absolutely, I say that

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Speaker 1: all the time. I just I can't, for the life

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Speaker 1: of me figure it out why people that our public

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Speaker 1: figures aren't calling them out for this. It's it's obvious,

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Speaker 1: it's clear as day. Why are they not doing anything

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Speaker 1: about it? Why are they not calling them out? I

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Speaker 1: just are you. Politics is just run by money. It's

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Speaker 1: all about money. So why aren't there enough people like

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Speaker 1: us that think like us getting together and trying to

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Speaker 1: get rid of this political system? Okay, well a couple

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Speaker 1: of things your Tim. One is that the position of

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Speaker 1: greatest virtue signaling on immigration is the you know, give

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Speaker 1: me you're tired, your poor, your meek, you're hungry, or whatever.

426
00:25:55,240 --> 00:26:01,280
Speaker 1: I mean. The position that celebrities, Democrat politicians, persons of

427
00:26:01,400 --> 00:26:06,280
Speaker 1: note with money, influence and followings and platforms, the position

428
00:26:06,280 --> 00:26:09,479
Speaker 1: they look to take is Oh no, we want you know,

429
00:26:09,560 --> 00:26:13,200
Speaker 1: the more the merrier, and legal, illegal doesn't doesn't matter.

430
00:26:13,320 --> 00:26:16,720
Speaker 1: We just want the more the merrier. Because immigrants, we

431
00:26:16,840 --> 00:26:18,840
Speaker 1: we have been brainwashed in this country to think that

432
00:26:18,880 --> 00:26:22,720
Speaker 1: immigrants are actually better than Americans. That we are we

433
00:26:22,760 --> 00:26:25,159
Speaker 1: are at the same time a country of immigrants, but

434
00:26:25,200 --> 00:26:28,000
Speaker 1: immigrants are also better than us. So we're all immigrants,

435
00:26:28,000 --> 00:26:31,680
Speaker 1: but immigrants are better than us. And it's it's convoluted,

436
00:26:31,920 --> 00:26:35,800
Speaker 1: it's self contradictory, it makes no sense. But this is

437
00:26:35,800 --> 00:26:37,520
Speaker 1: what they've been feeding us over time. And I have

438
00:26:37,600 --> 00:26:39,040
Speaker 1: to laugh. I just talked to somebody to said, you know,

439
00:26:39,040 --> 00:26:45,119
Speaker 1: occasionally I even I rail against using the term undocumented

440
00:26:45,160 --> 00:26:48,560
Speaker 1: because it's so dishonest, But I occasionally I'll even go, yeah,

441
00:26:48,560 --> 00:26:50,240
Speaker 1: you know, what are we gonna do with all these undocumented?

442
00:26:50,359 --> 00:26:53,359
Speaker 1: Oh my gosh, it just happens. It's the effect of

443
00:26:53,359 --> 00:26:56,480
Speaker 1: the propaganda, it's the effect of the messaging and on

444
00:26:56,480 --> 00:26:58,439
Speaker 1: on immigration. We've just had a wake up call as

445
00:26:58,440 --> 00:27:00,639
Speaker 1: a country that we have been lied to, not just

446
00:27:00,680 --> 00:27:03,440
Speaker 1: by one administration, not just by one news network. We

447
00:27:03,480 --> 00:27:06,320
Speaker 1: have been lied to as a people. All Americans, whether

448
00:27:06,359 --> 00:27:08,679
Speaker 1: they've realized it or not. On the left, on the

449
00:27:08,800 --> 00:27:11,920
Speaker 1: right about what's really going on here with the policies

450
00:27:11,960 --> 00:27:14,000
Speaker 1: of the government are and what the long term impact

451
00:27:14,040 --> 00:27:16,640
Speaker 1: will be for all of us. But Tim, the really,

452
00:27:16,640 --> 00:27:18,479
Speaker 1: you know, the answer to why don't more people stand up?

453
00:27:18,480 --> 00:27:20,720
Speaker 1: Because you don't want to be called racist, because you

454
00:27:20,760 --> 00:27:24,400
Speaker 1: don't be called mean, and all these different phrases are

455
00:27:24,440 --> 00:27:27,720
Speaker 1: deployed so that it seems like you're just being unfair.

456
00:27:27,920 --> 00:27:31,600
Speaker 1: You know, most illegal immigrants in this country are non white,

457
00:27:31,640 --> 00:27:34,320
Speaker 1: so there's a racial issue, a racial component that gets

458
00:27:34,320 --> 00:27:39,199
Speaker 1: brought into it. That's why, Well, I think Buck that

459
00:27:39,320 --> 00:27:41,960
Speaker 1: more people need to stand up for each other that

460
00:27:42,040 --> 00:27:44,560
Speaker 1: believe like we do. You see it all over the place,

461
00:27:44,800 --> 00:27:48,840
Speaker 1: just with Laura Ingram So this uh, this hot kid

462
00:27:49,520 --> 00:27:53,159
Speaker 1: says that everyone should boycott her. Why aren't people that

463
00:27:53,280 --> 00:27:56,119
Speaker 1: think like her trying to defend her? I think, to

464
00:27:56,160 --> 00:27:57,760
Speaker 1: be honest with you him, I think people did. I

465
00:27:57,760 --> 00:27:59,119
Speaker 1: think there are a lot of people that came to

466
00:27:59,200 --> 00:28:02,640
Speaker 1: Laura's defense, and and we're saying, you know, I stand

467
00:28:02,680 --> 00:28:05,520
Speaker 1: with Laura, and and Fox did the right thing, and

468
00:28:05,600 --> 00:28:09,080
Speaker 1: it's an important precedent they set because otherwise it's all over.

469
00:28:09,119 --> 00:28:11,480
Speaker 1: I mean, this whole business just just is going to disintegrate.

470
00:28:11,520 --> 00:28:14,520
Speaker 1: So you know, I think that there's people are waking

471
00:28:14,560 --> 00:28:15,959
Speaker 1: up to this, Tim, thank you for calling in from

472
00:28:16,000 --> 00:28:18,160
Speaker 1: Rhode Island. People are waking up this a bit more

473
00:28:18,200 --> 00:28:20,439
Speaker 1: now and they are taking action and they are understanding

474
00:28:20,480 --> 00:28:22,879
Speaker 1: what's at stake here. So you know, I find the

475
00:28:22,920 --> 00:28:25,240
Speaker 1: immigration it should be very very important. Will continue to

476
00:28:25,400 --> 00:28:28,879
Speaker 1: watch it closely here in the Freedom hunt. And uh,

477
00:28:29,080 --> 00:28:33,359
Speaker 1: I also want to talk to you about trade China. Uh.

478
00:28:33,560 --> 00:28:36,280
Speaker 1: More stuff on Facebook. Oh my, We've got more stuff

479
00:28:36,320 --> 00:28:41,280
Speaker 1: to talking about with Facebook and Cambridge Analytic. Oh my gosh,

480
00:28:41,320 --> 00:28:45,160
Speaker 1: people are very very spun up about that one. We've

481
00:28:45,160 --> 00:28:46,760
Speaker 1: got a lot a lot coming up here, folks. If

482
00:28:46,760 --> 00:28:49,280
Speaker 1: you want to chat with me eight four or four buck,

483
00:28:49,320 --> 00:28:51,000
Speaker 1: We've got some folks on the lines. We'll try to

484
00:28:51,040 --> 00:28:52,640
Speaker 1: get some calls as long as I can remember to

485
00:28:52,640 --> 00:28:56,880
Speaker 1: do so I do get caught in buck rants. Buccalogs,

486
00:28:57,680 --> 00:29:01,800
Speaker 1: Oh we can, you know, we can make that thing bucalogue.

487
00:29:02,920 --> 00:29:08,480
Speaker 1: He'd come down from the mountain for a buccalog quick break.

488
00:29:08,480 --> 00:29:25,240
Speaker 1: We'll be right back. Well, the freak out over Facebook continues.

489
00:29:27,080 --> 00:29:29,000
Speaker 1: I'm kind of confused. I was talking to the guys

490
00:29:29,000 --> 00:29:31,800
Speaker 1: in the break who doesn't understand that Facebook is not

491
00:29:31,920 --> 00:29:35,960
Speaker 1: your buddy. It's not it's not your friend. Facebook is

492
00:29:36,000 --> 00:29:43,000
Speaker 1: a massive corporation that makes a lot of money. Facebook

493
00:29:43,040 --> 00:29:47,320
Speaker 1: is a very capital efficient business. It's one of the

494
00:29:47,480 --> 00:29:51,920
Speaker 1: most powerful corporations financially speaking otherwise on the planet. Right now,

495
00:29:53,320 --> 00:29:55,920
Speaker 1: people are like, oh, but the community standards and the

496
00:29:56,400 --> 00:30:02,920
Speaker 1: terms of service and we're protected. Nope, you're or not. Um.

497
00:30:03,720 --> 00:30:07,320
Speaker 1: So Zuckerberg was on a phone call the CEO, who

498
00:30:07,400 --> 00:30:09,719
Speaker 1: is I think a couple of a year or two

499
00:30:09,760 --> 00:30:13,880
Speaker 1: younger than me. He's a billionaire whatever, I'm worth like

500
00:30:14,560 --> 00:30:20,000
Speaker 1: hundreds of dollars. So Zuckerberg was on this conference call

501
00:30:20,040 --> 00:30:23,960
Speaker 1: and he said, quote, we've seen some scraping. I would

502
00:30:23,960 --> 00:30:26,120
Speaker 1: assume that if you had that setting turned on, that

503
00:30:26,200 --> 00:30:28,440
Speaker 1: someone at some point has access to your public information

504
00:30:28,480 --> 00:30:32,320
Speaker 1: in some way. Just kind of kind of break down

505
00:30:32,360 --> 00:30:34,239
Speaker 1: what he's saying here. I mean, I don't even really

506
00:30:34,280 --> 00:30:35,800
Speaker 1: need do you know what? You know what it is?

507
00:30:35,800 --> 00:30:40,280
Speaker 1: Because he said it public information, stuff that you are

508
00:30:40,360 --> 00:30:43,000
Speaker 1: sharing with the general public that anyone has a right

509
00:30:43,040 --> 00:30:49,440
Speaker 1: to see, can be grabbed by online entities in order

510
00:30:49,480 --> 00:30:54,280
Speaker 1: to market stuff to you. Why does this get everyone all,

511
00:30:54,400 --> 00:30:58,640
Speaker 1: Oh my gosh, what's going on here? People have this

512
00:30:59,000 --> 00:31:04,320
Speaker 1: notion that Facebook owes them something. No, no, no, oh,

513
00:31:04,360 --> 00:31:07,040
Speaker 1: we have we have the Zuckerberg call. We know people

514
00:31:07,120 --> 00:31:09,640
Speaker 1: play it. Over the period of time that this feature

515
00:31:09,640 --> 00:31:12,400
Speaker 1: has been has been around, people have been able to um,

516
00:31:12,600 --> 00:31:16,000
Speaker 1: have been able to scrape public information, right, I mean

517
00:31:16,000 --> 00:31:18,560
Speaker 1: the the information that you can if you have someone's

518
00:31:18,560 --> 00:31:21,000
Speaker 1: phone number, you can put that in and then you

519
00:31:21,000 --> 00:31:24,320
Speaker 1: can get you know, a link to their profile which

520
00:31:24,360 --> 00:31:29,040
Speaker 1: pulls up public information. So I certainly think that that, um,

521
00:31:29,600 --> 00:31:32,480
Speaker 1: it is reasonable to expect that if you had that

522
00:31:32,520 --> 00:31:34,840
Speaker 1: setting turned on, that at some point in the last

523
00:31:34,840 --> 00:31:39,400
Speaker 1: several years, UM, someone has probably accessed, um, your public

524
00:31:39,440 --> 00:31:44,240
Speaker 1: information in this way. This is a big scandal, big story.

525
00:31:45,080 --> 00:31:47,800
Speaker 1: This should be like me saying, oh my gosh, things

526
00:31:47,840 --> 00:31:50,320
Speaker 1: that I say over the radio people across the country

527
00:31:50,360 --> 00:31:55,239
Speaker 1: can hear. Yes, that is correct. Stuff that you put

528
00:31:55,280 --> 00:31:59,360
Speaker 1: on your Facebook profile that is set to public is public,

529
00:32:00,000 --> 00:32:01,600
Speaker 1: and you should always assume that stuff you have in

530
00:32:01,600 --> 00:32:04,360
Speaker 1: your Facebook profile that's not public might as well be.

531
00:32:05,720 --> 00:32:09,680
Speaker 1: Privacy is a very different concept that we have now. Uh,

532
00:32:09,880 --> 00:32:13,640
Speaker 1: Privacy is changing very rapidly, and we need to understand

533
00:32:13,680 --> 00:32:15,360
Speaker 1: that there are trade off and I think we do

534
00:32:15,400 --> 00:32:17,880
Speaker 1: what you do I do. This is largely coming from

535
00:32:17,920 --> 00:32:22,720
Speaker 1: people who either are are deluded about what these social

536
00:32:22,720 --> 00:32:25,440
Speaker 1: media companies are really up to, right, they want to

537
00:32:25,440 --> 00:32:28,920
Speaker 1: believe that there's some that that they're all about. Social

538
00:32:28,920 --> 00:32:31,520
Speaker 1: media is about social good, you know, doing good things

539
00:32:31,520 --> 00:32:34,840
Speaker 1: for people, just connecting the world and all that stuff. Now,

540
00:32:36,360 --> 00:32:38,920
Speaker 1: social media is a tool, just like any number of

541
00:32:39,000 --> 00:32:40,680
Speaker 1: other things. Can be used for good, can we use

542
00:32:40,760 --> 00:32:44,480
Speaker 1: for bad things? But this got all this attention because

543
00:32:44,480 --> 00:32:51,120
Speaker 1: of Cambridge Analytica and Hillary and so they've kept running

544
00:32:51,120 --> 00:32:54,120
Speaker 1: with this story. And I sit around here and I'm like,

545
00:32:54,600 --> 00:32:59,400
Speaker 1: what is the what is the surprise? Exactly? I don't

546
00:32:59,400 --> 00:33:01,880
Speaker 1: even understand dand at this point how anyone could believe

547
00:33:01,920 --> 00:33:04,360
Speaker 1: anything other than yeah, it's Facebook and these other companies.

548
00:33:04,400 --> 00:33:07,880
Speaker 1: You know, they they have access to your stuff. They know,

549
00:33:08,120 --> 00:33:10,440
Speaker 1: you know, if you put male or female where you live.

550
00:33:10,560 --> 00:33:13,200
Speaker 1: And they have said now we're being told that they

551
00:33:13,280 --> 00:33:20,080
Speaker 1: might be scanning your private messages. Okay, so they may

552
00:33:20,120 --> 00:33:22,640
Speaker 1: scan your private messages. So what they say they're doing

553
00:33:22,640 --> 00:33:26,440
Speaker 1: it to avoid because of terms of service violations or something.

554
00:33:26,440 --> 00:33:28,800
Speaker 1: But I don't even know what what they're really looking for,

555
00:33:28,840 --> 00:33:30,479
Speaker 1: because I mean, I'm assuming that some people on their

556
00:33:30,480 --> 00:33:33,800
Speaker 1: Facebook messages. You know, things got a little spicy probably

557
00:33:33,840 --> 00:33:38,880
Speaker 1: sometimes you know, hey, are you an angel? Because you

558
00:33:38,920 --> 00:33:41,240
Speaker 1: look like you just fell from heaven? You know what

559
00:33:41,280 --> 00:33:44,840
Speaker 1: I mean. I will say from some friends of mine

560
00:33:44,880 --> 00:33:48,520
Speaker 1: who have you know, who have who have deep experience,

561
00:33:48,880 --> 00:33:51,680
Speaker 1: uh considerable experience on the on the dating apps, that

562
00:33:52,320 --> 00:33:56,080
Speaker 1: they hear stories from some of their lady friends that

563
00:33:56,160 --> 00:34:03,160
Speaker 1: occasionally the photos that are sent are, um are what's

564
00:34:03,200 --> 00:34:04,640
Speaker 1: the world? What's the way to say this? Because I

565
00:34:04,680 --> 00:34:09,000
Speaker 1: know there's young young ones listening. Um so I was there, there,

566
00:34:09,040 --> 00:34:13,160
Speaker 1: there there and what did you say? Oh no, I

567
00:34:13,239 --> 00:34:17,040
Speaker 1: was gonna say. Are very anatomically specific? Different? Yeah, we're

568
00:34:17,040 --> 00:34:19,680
Speaker 1: looking we're talking about different things here. That's a common thing.

569
00:34:20,239 --> 00:34:22,399
Speaker 1: Is that a violation the terms of service? I don't know.

570
00:34:22,760 --> 00:34:25,880
Speaker 1: Maybe it's in the confines of a loving, loving adult relationship,

571
00:34:25,920 --> 00:34:27,799
Speaker 1: you know what husbands and wives want to send each

572
00:34:27,840 --> 00:34:30,359
Speaker 1: other on Facebook as their own business. So I don't

573
00:34:30,360 --> 00:34:34,520
Speaker 1: know why they're looking at that data for possible terms

574
00:34:34,520 --> 00:34:38,600
Speaker 1: of service violation. But the other thing is the Internet

575
00:34:38,640 --> 00:34:41,160
Speaker 1: can only know what you put on the Internet. So

576
00:34:41,239 --> 00:34:45,040
Speaker 1: you know, the Internet may know that you uh, you know,

577
00:34:45,040 --> 00:34:47,000
Speaker 1: the Internet may know that that that me for example,

578
00:34:47,000 --> 00:34:50,200
Speaker 1: they may know that I I like Republican stuff and

579
00:34:50,280 --> 00:34:55,760
Speaker 1: dogs and you know, going to the beach or something,

580
00:34:55,920 --> 00:34:57,960
Speaker 1: you know, but they don't necessarily know, you know, afraid

581
00:34:57,960 --> 00:35:02,960
Speaker 1: of clowns and doesn't always think that, you know, if

582
00:35:03,000 --> 00:35:06,560
Speaker 1: you're particularly relax while you're taking a shower, that you

583
00:35:06,600 --> 00:35:08,360
Speaker 1: need to step out of the shower to attend to

584
00:35:08,400 --> 00:35:11,520
Speaker 1: all your business, you know, whatever it may be. You know,

585
00:35:11,640 --> 00:35:13,640
Speaker 1: that's only stuff that that the internet knows. If you

586
00:35:13,680 --> 00:35:15,400
Speaker 1: put it out there on the internet, it doesn't know it.

587
00:35:15,480 --> 00:35:18,640
Speaker 1: Because you know, everyone just needs to just take a

588
00:35:18,680 --> 00:35:21,200
Speaker 1: deep breath on this one. I just don't see where

589
00:35:21,320 --> 00:35:24,440
Speaker 1: the the freak out continues to be here. You have

590
00:35:24,520 --> 00:35:28,160
Speaker 1: Facebook has all this information, they are gathering all this stuff.

591
00:35:29,120 --> 00:35:30,440
Speaker 1: I try to tell people this all the time. They

592
00:35:30,480 --> 00:35:32,879
Speaker 1: ask me, oh, you know, well what about that? They think?

593
00:35:33,200 --> 00:35:34,960
Speaker 1: And I understand it too, because you know, I come

594
00:35:34,960 --> 00:35:37,799
Speaker 1: from a CIA background, and so I was like, no,

595
00:35:37,920 --> 00:35:40,160
Speaker 1: it's not really what I did. But they'll say it, Oh,

596
00:35:40,239 --> 00:35:44,120
Speaker 1: can people you know, can people uh hack into your

597
00:35:44,120 --> 00:35:46,160
Speaker 1: computer and see you v a camera? And I say,

598
00:35:46,239 --> 00:35:48,520
Speaker 1: you know, yeah they can, and don't I don't know

599
00:35:48,520 --> 00:35:51,120
Speaker 1: how to stop that. Listen, do you do the do

600
00:35:51,120 --> 00:35:52,960
Speaker 1: you guys do the tape on the at home the

601
00:35:53,000 --> 00:35:55,439
Speaker 1: tape on the the camera. You know what I'm saying.

602
00:35:55,440 --> 00:35:57,080
Speaker 1: I know people who do that. I think it's a

603
00:35:57,080 --> 00:36:00,239
Speaker 1: little I think that's a little bit paranoid. What are

604
00:36:00,239 --> 00:36:02,640
Speaker 1: they gonna see. You're gonna see me sitting there my

605
00:36:03,960 --> 00:36:06,239
Speaker 1: You know, I'm not like doing interpretive dances in front

606
00:36:06,280 --> 00:36:09,000
Speaker 1: of my computer when I go home, Or maybe i am,

607
00:36:09,040 --> 00:36:10,400
Speaker 1: but at least if I'm going to do that, I

608
00:36:10,400 --> 00:36:12,000
Speaker 1: would cover the you know, the cover of the camera.

609
00:36:12,040 --> 00:36:14,440
Speaker 1: But I don't know what people are thinking about this stuff.

610
00:36:14,440 --> 00:36:16,279
Speaker 1: The Facebook story, It's just not that interesting to me

611
00:36:16,360 --> 00:36:18,279
Speaker 1: right now, but everyone else has really worked up about it.

612
00:36:18,280 --> 00:36:20,359
Speaker 1: We've gotta talk about China and tariffs coming up here

613
00:36:20,360 --> 00:36:25,000
Speaker 1: and Amazon first. Information is critical and the security of

614
00:36:25,040 --> 00:36:29,600
Speaker 1: your information is essential. That's why Global Verification Network is

615
00:36:29,640 --> 00:36:32,320
Speaker 1: the best in the business. They are the only dual certified,

616
00:36:32,480 --> 00:36:37,239
Speaker 1: veteran owned background investigations and vetting company. You see, they

617
00:36:37,239 --> 00:36:39,960
Speaker 1: won't send your data overseas, they will keep it safe,

618
00:36:40,160 --> 00:36:42,640
Speaker 1: they'll keep it here. Also, the people who will work

619
00:36:42,760 --> 00:36:45,600
Speaker 1: on the cases that are brought to them, the background

620
00:36:45,600 --> 00:36:48,560
Speaker 1: investigation of investigations, the vetting that they bring to bear.

621
00:36:48,800 --> 00:36:53,680
Speaker 1: That's all done here to buy US based employees. Their

622
00:36:53,719 --> 00:36:55,960
Speaker 1: headquarters in Chicago, but they've got offices across the nation.

623
00:36:56,000 --> 00:36:59,719
Speaker 1: They can handle the most important cases. Just bring them

624
00:36:59,760 --> 00:37:03,560
Speaker 1: to their attention, background investigations and vetting. Call call eight

625
00:37:03,600 --> 00:37:09,719
Speaker 1: seven seven six eight seven seven six seven nine, or

626
00:37:09,800 --> 00:37:14,120
Speaker 1: go to my g v N dot com. That's my

627
00:37:14,600 --> 00:37:19,719
Speaker 1: m y gamma vector nano. I know that was that's

628
00:37:19,719 --> 00:37:22,359
Speaker 1: not even but yeah, my g VN dot com will

629
00:37:22,360 --> 00:37:33,759
Speaker 1: be right back. He's back with you now, because when

630
00:37:33,760 --> 00:37:37,120
Speaker 1: it comes to the fight for truth, the fuck never stops.

631
00:37:38,400 --> 00:37:40,960
Speaker 1: Welcome back to the buck Sex and show everyone. Uh,

632
00:37:41,840 --> 00:37:46,120
Speaker 1: yesterday we went on air right in the aftermath of

633
00:37:46,239 --> 00:37:51,839
Speaker 1: that shooting at YouTube's headquarters in California, and I gotta

634
00:37:51,880 --> 00:37:54,040
Speaker 1: say I was here in the hut with the guys,

635
00:37:54,040 --> 00:37:57,080
Speaker 1: with my team, and we were looking at this and thinking,

636
00:37:57,160 --> 00:38:00,560
Speaker 1: oh gosh, this is you know, you see parts of

637
00:38:01,160 --> 00:38:05,680
Speaker 1: lots of many shots fired, and law enforcement confirmed there

638
00:38:05,719 --> 00:38:10,960
Speaker 1: was an active shooter situation, and it was a a

639
00:38:11,000 --> 00:38:13,800
Speaker 1: relief that no one was killed other than the shooter,

640
00:38:14,840 --> 00:38:17,479
Speaker 1: which seems very unlikely. I mean, if somebody had gone

641
00:38:17,480 --> 00:38:20,759
Speaker 1: in there trying to cause maximum casualties had a firearm

642
00:38:20,800 --> 00:38:23,280
Speaker 1: and was able to get off a lot of rounds.

643
00:38:23,320 --> 00:38:25,040
Speaker 1: You would think that you could be in a there

644
00:38:25,040 --> 00:38:30,719
Speaker 1: could be much higher casualt account. But the initial reporting

645
00:38:30,760 --> 00:38:35,839
Speaker 1: on it was that there was a woman and that's

646
00:38:36,400 --> 00:38:41,040
Speaker 1: I'm sorry, a white woman with a head scarf who

647
00:38:41,760 --> 00:38:46,280
Speaker 1: was shooting her boyfriend. I remember that. And sometime last

648
00:38:46,400 --> 00:38:49,719
Speaker 1: night the story went from this is remember this is

649
00:38:49,719 --> 00:38:53,160
Speaker 1: about the shooting it at YouTube. White woman shoots boyfriend

650
00:38:53,160 --> 00:38:59,880
Speaker 1: at YouTube headquarters to Iranian Muslim vegan video blogger Active

651
00:39:01,120 --> 00:39:07,000
Speaker 1: engaged in rage shooting of YouTube because it demonetized her videos.

652
00:39:08,560 --> 00:39:12,440
Speaker 1: That is that is quite a quite a change in

653
00:39:12,480 --> 00:39:16,280
Speaker 1: the storyline or an addition to the storyline. It turns

654
00:39:16,280 --> 00:39:20,680
Speaker 1: out that the the YouTube shooter spoke with police just

655
00:39:20,920 --> 00:39:26,640
Speaker 1: hours before the attack and they saw she was sleeping

656
00:39:26,680 --> 00:39:29,080
Speaker 1: in a car in Mounteview, California, and they thought that

657
00:39:29,120 --> 00:39:30,879
Speaker 1: she might be a missing person, so they just talked

658
00:39:30,960 --> 00:39:34,480
Speaker 1: to her and they had no reason to detain her

659
00:39:34,680 --> 00:39:38,279
Speaker 1: or to suspect anything, so they let her go. Some

660
00:39:38,280 --> 00:39:42,600
Speaker 1: people saying that's a they misred flags. There's nothing they did.

661
00:39:42,719 --> 00:39:44,080
Speaker 1: I don't know what they were supposed to see in

662
00:39:44,080 --> 00:39:51,080
Speaker 1: that this woman uh Ne seem Agdam has lots of videos.

663
00:39:51,120 --> 00:39:53,359
Speaker 1: I saw clips and they are making the rounds last night.

664
00:39:53,480 --> 00:40:00,040
Speaker 1: It looks at very clearly a a a bizarre, a

665
00:40:00,040 --> 00:40:04,200
Speaker 1: czarre person. She was. She she killed herself here and

666
00:40:04,400 --> 00:40:10,680
Speaker 1: I think we can assume had some very serious mental illness.

667
00:40:10,719 --> 00:40:14,240
Speaker 1: She would make these videos that were parody music videos.

668
00:40:14,239 --> 00:40:19,080
Speaker 1: She was a a well, it was well established that

669
00:40:19,120 --> 00:40:21,520
Speaker 1: she was an animal rights activist, was always railing against

670
00:40:21,560 --> 00:40:27,640
Speaker 1: animal cruelty, was a vegan, and was Iranian. And that's

671
00:40:27,680 --> 00:40:31,000
Speaker 1: that's kind of what we know. She was angry at

672
00:40:31,239 --> 00:40:34,880
Speaker 1: at YouTube, angry because I kept changing the terms of

673
00:40:34,920 --> 00:40:38,040
Speaker 1: service on her, or they kept demonetizing her videos, and

674
00:40:38,520 --> 00:40:40,960
Speaker 1: she said that they were restricting and this is from

675
00:40:41,000 --> 00:40:45,320
Speaker 1: the other videos she posted, right, Or they're restricting people's

676
00:40:45,320 --> 00:40:49,080
Speaker 1: ability to watch her videos, putting age restrictions on them.

677
00:40:49,160 --> 00:40:50,960
Speaker 1: And so she thought that she was a victim of

678
00:40:51,040 --> 00:40:54,239
Speaker 1: some kind of YouTube censorship. She may have been I

679
00:40:54,239 --> 00:40:57,600
Speaker 1: don't know, paranoid, schizophrenic or something that I can't do

680
00:40:57,719 --> 00:41:00,800
Speaker 1: a medical diagnosis from a far her once amount of

681
00:41:00,800 --> 00:41:04,160
Speaker 1: medical doctor. And two we don't have enough information just yet,

682
00:41:04,160 --> 00:41:07,640
Speaker 1: but certainly seems like there was something. Well we know

683
00:41:07,680 --> 00:41:10,200
Speaker 1: there's something very wrong where there just turned into a

684
00:41:10,200 --> 00:41:13,560
Speaker 1: a the YouTube shooter. But it seems like there was

685
00:41:13,600 --> 00:41:16,960
Speaker 1: something clinically quite wrong with her. Just one thing I

686
00:41:16,960 --> 00:41:18,480
Speaker 1: would note. You know, yesterday I asked you, I said,

687
00:41:18,560 --> 00:41:19,920
Speaker 1: how is it? This is one of the questions that

688
00:41:20,480 --> 00:41:22,560
Speaker 1: why if she's if you're just going to shoot her,

689
00:41:22,560 --> 00:41:23,920
Speaker 1: if you're just going to shoot a boyfriend, if it's

690
00:41:23,920 --> 00:41:29,360
Speaker 1: a lover's quarrel that goes that turns into violence, you

691
00:41:29,600 --> 00:41:33,040
Speaker 1: probably not going to shoot three other people, right, So

692
00:41:33,120 --> 00:41:35,080
Speaker 1: this was an attempt at mass shooting, and I thought

693
00:41:35,080 --> 00:41:38,120
Speaker 1: it was strange that initially we were getting these law

694
00:41:38,160 --> 00:41:41,000
Speaker 1: enforced reports about how or the initial reports, I should

695
00:41:41,040 --> 00:41:44,520
Speaker 1: say from contact with law enforcement was that it was, uh,

696
00:41:45,480 --> 00:41:48,480
Speaker 1: she was targeting her boyfriend. There was no boy She

697
00:41:48,520 --> 00:41:52,120
Speaker 1: just went in and started shooting some people, which in

698
00:41:52,200 --> 00:41:54,920
Speaker 1: the context of the situation, if you play it on

699
00:41:54,920 --> 00:41:57,560
Speaker 1: your head, well yeah, it was a mass shooting. She

700
00:41:57,719 --> 00:42:01,120
Speaker 1: was trying to get revenge on YouTube for the perceived

701
00:42:01,239 --> 00:42:06,480
Speaker 1: slights of demonetizing her videos. Um had nothing new with

702
00:42:06,480 --> 00:42:09,319
Speaker 1: her boyfriend, nothing, There was no This wasn't a crime

703
00:42:09,320 --> 00:42:11,439
Speaker 1: of passion, lover squirrel, any of that, Which makes sense

704
00:42:11,480 --> 00:42:15,200
Speaker 1: now when you think about Okay. You know, if if

705
00:42:15,200 --> 00:42:17,279
Speaker 1: you're really angry your boyfriend or your girlfriend, and you'd

706
00:42:17,320 --> 00:42:19,520
Speaker 1: make the horrible decision you're gonna be violent about it,

707
00:42:19,840 --> 00:42:21,680
Speaker 1: you would think you wouldn't shoot a few people that

708
00:42:21,760 --> 00:42:24,839
Speaker 1: just happened to be standing nearby. So just in our

709
00:42:24,840 --> 00:42:26,879
Speaker 1: in our analysis of this afters I say we raised

710
00:42:26,920 --> 00:42:28,600
Speaker 1: that question. I think it was an important one to raise.

711
00:42:28,640 --> 00:42:32,120
Speaker 1: That just didn't make sense. This didn't make sense, and

712
00:42:32,160 --> 00:42:34,319
Speaker 1: now we know she was trying to kill as many

713
00:42:34,320 --> 00:42:37,680
Speaker 1: people as possible. It is um something of a miracle,

714
00:42:37,719 --> 00:42:40,359
Speaker 1: I think, given that she got into the facility, had

715
00:42:40,400 --> 00:42:42,880
Speaker 1: a loaded weapon. Actually never it was a handgun, right,

716
00:42:42,880 --> 00:42:44,760
Speaker 1: I never saw I mean I'm assuming it's a handgun,

717
00:42:45,640 --> 00:42:49,279
Speaker 1: uh so, and managed to get off a whole bunch

718
00:42:49,280 --> 00:42:53,319
Speaker 1: of rounds, didn't kill anybody, and shot herself. This this

719
00:42:53,400 --> 00:42:54,880
Speaker 1: is one of these times where you can say this

720
00:42:54,920 --> 00:42:57,040
Speaker 1: could have been a lot worse. It could have been

721
00:42:57,040 --> 00:43:00,040
Speaker 1: a lot worse. Um, But there is also an this

722
00:43:00,120 --> 00:43:01,960
Speaker 1: is just from the media coverage angle this and that

723
00:43:01,960 --> 00:43:03,399
Speaker 1: way we can move past this. I don't think there's

724
00:43:03,440 --> 00:43:05,160
Speaker 1: a lot to say on this. I just wanted to

725
00:43:05,200 --> 00:43:09,840
Speaker 1: follow up and close a loop from yesterday. The interest.

726
00:43:09,920 --> 00:43:14,479
Speaker 1: The interest level from the media kept changing depending on

727
00:43:15,320 --> 00:43:18,160
Speaker 1: what they thought. You know what was it? Was it

728
00:43:18,200 --> 00:43:20,399
Speaker 1: an assault rifle? Though it was a pistol. Okay, well

729
00:43:20,440 --> 00:43:22,720
Speaker 1: that's not as there are a whole bunch of different

730
00:43:22,719 --> 00:43:24,759
Speaker 1: outlets that that doesn't fit into the narrative that they

731
00:43:24,800 --> 00:43:27,640
Speaker 1: could run with, right, I say, it's a it was

732
00:43:27,680 --> 00:43:30,399
Speaker 1: a white woman. I saw that being reported a lot,

733
00:43:30,440 --> 00:43:33,080
Speaker 1: as though I don't know is that that that's an

734
00:43:33,120 --> 00:43:36,000
Speaker 1: important detail for some media outlets. But then we find out, well,

735
00:43:36,040 --> 00:43:39,359
Speaker 1: she's Iranian, and then you get into well is that

736
00:43:39,400 --> 00:43:44,640
Speaker 1: now is that now considered? Do we not distinguished? Because

737
00:43:44,719 --> 00:43:47,360
Speaker 1: I'm pretty sure that there will be lots of folks

738
00:43:47,360 --> 00:43:50,560
Speaker 1: of Middle Eastern descent which is Irani. Now remember it's

739
00:43:50,600 --> 00:43:53,759
Speaker 1: not Arab, Persian or you know, Farsi speaking Iran. I

740
00:43:53,800 --> 00:43:55,400
Speaker 1: saw some of that on Twitter. People say, well, she's

741
00:43:55,440 --> 00:44:02,200
Speaker 1: actually Arab, No, no, not that's not true. Um she's Persian,

742
00:44:02,480 --> 00:44:06,040
Speaker 1: or you can says she's Iranian of Iranian descent. But

743
00:44:07,600 --> 00:44:09,640
Speaker 1: you just see the way that there was It was

744
00:44:09,880 --> 00:44:12,720
Speaker 1: like all in coverage for a little bit from something,

745
00:44:12,760 --> 00:44:14,319
Speaker 1: and then it kind of went away, and then a

746
00:44:14,320 --> 00:44:15,960
Speaker 1: lot of coverage and then it kind of went away,

747
00:44:16,040 --> 00:44:18,440
Speaker 1: and at the end of the day, it's it was

748
00:44:18,560 --> 00:44:20,719
Speaker 1: it's tough for the left to make much of a

749
00:44:22,960 --> 00:44:26,160
Speaker 1: of a narrative storyline that pushes an agenda out of

750
00:44:26,920 --> 00:44:33,320
Speaker 1: vegan amateur bodybuilder, YouTube video maker of Iranian extraction who

751
00:44:34,400 --> 00:44:37,600
Speaker 1: is angry for her movie, her movies being demonetized on

752
00:44:37,680 --> 00:44:41,759
Speaker 1: YouTube that that doesn't really and they don't really know

753
00:44:41,800 --> 00:44:44,200
Speaker 1: what to how to package that one to push an agendas.

754
00:44:44,239 --> 00:44:47,440
Speaker 1: I'll trying to say, that's kind of it's kind of

755
00:44:47,440 --> 00:44:50,680
Speaker 1: wacko stuff. And so that's what I got for you

756
00:44:50,719 --> 00:44:54,320
Speaker 1: on the youth, wacko stuff. That's really the the bottom

757
00:44:54,320 --> 00:44:57,440
Speaker 1: line up front here. And with that, I want to

758
00:44:57,480 --> 00:44:59,040
Speaker 1: come back to you and talk a bit more about

759
00:44:59,080 --> 00:45:02,920
Speaker 1: I'll talk a bit about, uh, the spat between Well,

760
00:45:02,960 --> 00:45:06,319
Speaker 1: you got a couple of spats, multiple spats. You've got

761
00:45:06,320 --> 00:45:11,479
Speaker 1: the US and China, which is putting some people on edge.

762
00:45:11,600 --> 00:45:14,680
Speaker 1: We'll get into that over tariffs and what we're gonna

763
00:45:14,680 --> 00:45:17,960
Speaker 1: do on trade and what a responses should be. And

764
00:45:17,960 --> 00:45:21,640
Speaker 1: and then also what was the other spat. I'm I'm

765
00:45:21,680 --> 00:45:25,480
Speaker 1: totally blanking what was it? Yeah, I can't remember, no,

766
00:45:25,560 --> 00:45:30,880
Speaker 1: what Amazon? Thank you? I completely space there for a second.

767
00:45:31,480 --> 00:45:33,279
Speaker 1: See you got your like my you guys are like

768
00:45:33,360 --> 00:45:36,560
Speaker 1: my Alexa, you know, my my freedom HUT team. You're like,

769
00:45:36,600 --> 00:45:40,960
Speaker 1: you know, fuck, you should not forget things. That's right,

770
00:45:41,040 --> 00:45:43,920
Speaker 1: I should not eight four four to five. You want

771
00:45:43,920 --> 00:45:47,080
Speaker 1: to chat, let's do it and uh, we'll be back

772
00:45:47,080 --> 00:45:56,799
Speaker 1: in a few We're going through the review period. We're

773
00:45:56,920 --> 00:45:59,480
Speaker 1: very lucky that we have the best negotiator at the table,

774
00:45:59,560 --> 00:46:02,600
Speaker 1: in the pre resident, and we're gonna go through that process.

775
00:46:02,600 --> 00:46:04,319
Speaker 1: It will be a couple of months before tariffs on

776
00:46:04,360 --> 00:46:08,799
Speaker 1: either side would go into effect and be implemented, and

777
00:46:08,840 --> 00:46:11,520
Speaker 1: we're hopeful that China will do the right thing. Look,

778
00:46:11,680 --> 00:46:14,640
Speaker 1: China created this problem, not President Trump. But we finally

779
00:46:14,680 --> 00:46:17,120
Speaker 1: actually have a president who's willing to stand up and

780
00:46:17,160 --> 00:46:20,680
Speaker 1: say enough is enough. We're gonna stop the unfair trade practices.

781
00:46:20,719 --> 00:46:25,000
Speaker 1: We're asking China to stop unfair trade practices, and we're

782
00:46:25,000 --> 00:46:27,400
Speaker 1: gonna work through that process over the next couple of months.

783
00:46:28,000 --> 00:46:32,080
Speaker 1: Lame China, not President Trump, because they've been going on

784
00:46:32,160 --> 00:46:35,400
Speaker 1: for many years. Trump is really the first president to

785
00:46:35,560 --> 00:46:39,120
Speaker 1: fight back and to put a shot across the bow.

786
00:46:39,800 --> 00:46:45,160
Speaker 1: It's still in intellectual property rights, technology transfers high barriers

787
00:46:45,280 --> 00:46:50,319
Speaker 1: investment limitations, high tariffs. This stuff is really um not

788
00:46:50,440 --> 00:46:53,520
Speaker 1: just unfair, it's unlawful. It's outside the boundaries of the

789
00:46:53,920 --> 00:46:57,640
Speaker 1: w t O. Every country in the world knows this,

790
00:46:58,160 --> 00:47:01,000
Speaker 1: Every analyst knows this is the case. Somebody's got to

791
00:47:01,040 --> 00:47:03,160
Speaker 1: deal with that. President Trump is going to deal with it.

792
00:47:03,239 --> 00:47:05,520
Speaker 1: I'm not a fan of tariffs. I'm a free trader

793
00:47:05,560 --> 00:47:08,600
Speaker 1: by large, but I think the President is completely right

794
00:47:08,880 --> 00:47:13,480
Speaker 1: to take these actions. I gotta say, the thinking on

795
00:47:13,560 --> 00:47:17,960
Speaker 1: this is changing, folks, isn't it. I'm not saying everybody,

796
00:47:17,960 --> 00:47:20,399
Speaker 1: I'm not saying entirely, but remember when just a few weeks,

797
00:47:20,480 --> 00:47:25,040
Speaker 1: oh my gosh, tariffs terrible. Okay, Well, he's not putting

798
00:47:25,040 --> 00:47:28,040
Speaker 1: tariffs up just because he thinks that it's going to

799
00:47:28,120 --> 00:47:32,400
Speaker 1: create some flourishing domestic industrial capacity that we didn't have before,

800
00:47:32,440 --> 00:47:35,640
Speaker 1: although that might happen in some industries a little bit

801
00:47:35,719 --> 00:47:40,640
Speaker 1: in some ways. But this is a means of dealing

802
00:47:40,680 --> 00:47:47,799
Speaker 1: with Chinese malfeasance in the area of trade, and I

803
00:47:47,880 --> 00:47:50,160
Speaker 1: just it's such a you know, you the same way

804
00:47:50,239 --> 00:47:52,680
Speaker 1: on immigration. I try to ask very basic questions and

805
00:47:52,719 --> 00:47:56,200
Speaker 1: then get into the details. You start with the very

806
00:47:56,200 --> 00:47:59,040
Speaker 1: basic questions of dealing with China, and why we would

807
00:47:59,040 --> 00:48:02,160
Speaker 1: put tariffs in place like okay, so is the answer

808
00:48:02,239 --> 00:48:05,319
Speaker 1: that China gets to do whatever it wants. China can

809
00:48:05,320 --> 00:48:07,960
Speaker 1: do anything that it thinks is in its economic interest

810
00:48:08,480 --> 00:48:11,800
Speaker 1: visa e. The United States. If China wants to steal

811
00:48:11,800 --> 00:48:14,360
Speaker 1: our stuff, go for it. China wants to steal a

812
00:48:14,400 --> 00:48:17,799
Speaker 1: intelectual property, have at it. They want to they want

813
00:48:17,800 --> 00:48:20,960
Speaker 1: to protect certain industries that they're trying to give a

814
00:48:21,080 --> 00:48:24,920
Speaker 1: bigger market share too by putting in their own tariffs. Fine,

815
00:48:25,760 --> 00:48:30,000
Speaker 1: and what do we do nothing? We just go, oh, gosh,

816
00:48:30,000 --> 00:48:34,120
Speaker 1: you're not China. Yeah that really Yeah, there taking taking

817
00:48:34,160 --> 00:48:35,920
Speaker 1: a rough flame with this on this stuff. You know,

818
00:48:36,000 --> 00:48:40,800
Speaker 1: it's just shame Trump is doing something. He's taking action

819
00:48:41,560 --> 00:48:43,919
Speaker 1: the administration to saying that they are going to put

820
00:48:43,960 --> 00:48:47,120
Speaker 1: in place more te specifically targeting the theft of an

821
00:48:47,160 --> 00:48:49,759
Speaker 1: electoral property, which is, as I have been telling you,

822
00:48:50,760 --> 00:48:56,279
Speaker 1: is among the biggest problems we face going forward, not

823
00:48:56,440 --> 00:49:00,120
Speaker 1: just economically speaking, but also it's it's good we're as

824
00:49:00,239 --> 00:49:06,040
Speaker 1: it's a problem militarily. That see's a problem militarily. There's

825
00:49:06,080 --> 00:49:09,680
Speaker 1: been all kinds of Remember there's the theft that there

826
00:49:09,680 --> 00:49:13,080
Speaker 1: there are different tiers of of espionage and intellectual property

827
00:49:13,120 --> 00:49:18,560
Speaker 1: theft that go on. There's what you hear about and

828
00:49:18,640 --> 00:49:21,360
Speaker 1: the government knows about. Right, those are the things that

829
00:49:21,400 --> 00:49:24,320
Speaker 1: make their way into the headlines. You know, those Chinese

830
00:49:24,360 --> 00:49:28,279
Speaker 1: company it is UH suspected of having stolen sensitive US

831
00:49:28,480 --> 00:49:31,560
Speaker 1: not or you know, individual and custody for passing secrets

832
00:49:31,560 --> 00:49:36,160
Speaker 1: to China. You'll have that. There's what happens that the

833
00:49:36,160 --> 00:49:38,560
Speaker 1: public doesn't know about, but the government knows about. And

834
00:49:38,560 --> 00:49:42,040
Speaker 1: that's gonna be a lot of that in the cyber realm.

835
00:49:42,120 --> 00:49:43,959
Speaker 1: I don't really want to tell people what's going on there.

836
00:49:44,120 --> 00:49:46,400
Speaker 1: You don't, but we don't really get to know what

837
00:49:46,520 --> 00:49:50,120
Speaker 1: the government knows, especially in the realm of cyber and

838
00:49:50,120 --> 00:49:53,000
Speaker 1: and that's a lot. And then you add to that

839
00:49:53,760 --> 00:49:56,759
Speaker 1: another whole level of what we don't know and our

840
00:49:56,800 --> 00:49:59,840
Speaker 1: government doesn't know. And once you put all those layers

841
00:49:59,840 --> 00:50:02,720
Speaker 1: to other, there's a lot of stuff that has been

842
00:50:02,760 --> 00:50:06,160
Speaker 1: taken from this country and used for the advantage of

843
00:50:06,200 --> 00:50:08,960
Speaker 1: the Chinese state and the Chinese economy and the Chinese military.

844
00:50:11,080 --> 00:50:14,040
Speaker 1: And what have we done? You know, you'll notice how

845
00:50:14,040 --> 00:50:16,160
Speaker 1: the same press courts that's always saying all he's not

846
00:50:16,239 --> 00:50:20,320
Speaker 1: doing enough about Russia. Why doesn't he do more about Russia,

847
00:50:20,360 --> 00:50:23,080
Speaker 1: more sanctions, more And I'm just saying there's reports out

848
00:50:23,640 --> 00:50:26,799
Speaker 1: as we went on air that there may be sanctions

849
00:50:26,920 --> 00:50:31,279
Speaker 1: for um Russian oligarchs coming up to the administration might

850
00:50:31,320 --> 00:50:34,640
Speaker 1: do even more against Russia that it's already done, which

851
00:50:34,640 --> 00:50:38,880
Speaker 1: is much more than Obama did. But they're so willing

852
00:50:38,920 --> 00:50:43,080
Speaker 1: to antagonize the Russian state for doing things that, while

853
00:50:43,120 --> 00:50:47,879
Speaker 1: we don't like, don't really affect us. It doesn't really

854
00:50:47,920 --> 00:50:50,560
Speaker 1: matter all that much to you and me and what

855
00:50:50,640 --> 00:50:54,040
Speaker 1: happens in our lives and our kids lives, your kids lives,

856
00:50:54,040 --> 00:51:00,120
Speaker 1: but you know our American kids lives. What China is

857
00:51:00,160 --> 00:51:03,040
Speaker 1: doing affects you. You may work for, In fact, you

858
00:51:03,120 --> 00:51:05,759
Speaker 1: very well uh do work for a company that at

859
00:51:05,840 --> 00:51:08,880
Speaker 1: least competes with Chinese companies. You may you may be

860
00:51:08,920 --> 00:51:11,120
Speaker 1: working for a company that you know or you don't know,

861
00:51:11,239 --> 00:51:14,960
Speaker 1: has been this subject of hacking efforts from China steal

862
00:51:15,000 --> 00:51:18,920
Speaker 1: your data, steal information, steal even more. Who knows that

863
00:51:19,040 --> 00:51:25,239
Speaker 1: really affects you and and any actions taken that address

864
00:51:25,360 --> 00:51:30,080
Speaker 1: that are considered to be reckless and irresponsible And how

865
00:51:30,120 --> 00:51:35,520
Speaker 1: could Trump do this? And it's so terrible. Well, the

866
00:51:35,560 --> 00:51:37,319
Speaker 1: other option is just to let the Chinese do whatever

867
00:51:37,320 --> 00:51:43,840
Speaker 1: they want, continue to flout the fun word. You know,

868
00:51:44,000 --> 00:51:45,560
Speaker 1: you really you say that if you say flout, you

869
00:51:45,600 --> 00:51:48,879
Speaker 1: feel a little fancy. But it's different than being say

870
00:51:48,880 --> 00:51:52,279
Speaker 1: a floutist. You see, you see what I did there,

871
00:51:52,920 --> 00:51:55,600
Speaker 1: But you know you you see how the global opinion

872
00:51:55,719 --> 00:52:00,680
Speaker 1: is all quite settled on China. There's really no such

873
00:52:00,680 --> 00:52:04,920
Speaker 1: thing as global opinion, right, but the international communities leadership

874
00:52:05,000 --> 00:52:06,560
Speaker 1: there you go, that's a term that we can use,

875
00:52:07,200 --> 00:52:11,880
Speaker 1: is settled on China engaged in bad behavior. And what

876
00:52:11,920 --> 00:52:15,080
Speaker 1: do we do in response? Nothing. China is the top

877
00:52:15,120 --> 00:52:20,560
Speaker 1: trading partner for uh tons of countries. I mean, I

878
00:52:20,600 --> 00:52:22,399
Speaker 1: think if you if you actually look at a list

879
00:52:22,480 --> 00:52:25,000
Speaker 1: of countries, China is at least in the top ten

880
00:52:25,200 --> 00:52:28,759
Speaker 1: trading partners for almost every country on Earth. I don't

881
00:52:28,800 --> 00:52:30,920
Speaker 1: I don't know where micro Nesia is getting most of

882
00:52:30,960 --> 00:52:33,240
Speaker 1: its stuff these days. But like all the major countries

883
00:52:33,239 --> 00:52:39,680
Speaker 1: out there, you know, sorry San Marino um, but all

884
00:52:39,719 --> 00:52:43,319
Speaker 1: the major companies out there, companies countries, uh, they're doing

885
00:52:43,320 --> 00:52:45,520
Speaker 1: a lot of business with China. So that also affects

886
00:52:45,520 --> 00:52:48,160
Speaker 1: this too. The China there's a little bit of a

887
00:52:48,400 --> 00:52:52,480
Speaker 1: of an implied bullying here for a lot, or not

888
00:52:52,520 --> 00:52:54,040
Speaker 1: even just implied. There's a little bit of bullying that

889
00:52:54,040 --> 00:52:58,479
Speaker 1: goes on from the Chinese government against countries that don't

890
00:52:58,520 --> 00:53:00,319
Speaker 1: have the ability to push back. So if we don't

891
00:53:00,320 --> 00:53:04,400
Speaker 1: do it, who's going to? But like I said, you

892
00:53:04,440 --> 00:53:07,560
Speaker 1: start with the very simple questions, what if if not tariffs?

893
00:53:07,640 --> 00:53:11,759
Speaker 1: What's the response suffering silence? Let the Chinese government do

894
00:53:11,800 --> 00:53:14,200
Speaker 1: what it wants. That seems to be a bad idea.

895
00:53:15,160 --> 00:53:18,640
Speaker 1: It seems to me like we should probably find ways

896
00:53:18,719 --> 00:53:23,879
Speaker 1: to at least go beyond expressing the occasional bit of displeasure. Here.

897
00:53:25,960 --> 00:53:28,080
Speaker 1: We've got some calls in and I haven't taken many today,

898
00:53:28,080 --> 00:53:29,200
Speaker 1: and I'd like to hear from all of you. So

899
00:53:29,239 --> 00:53:32,800
Speaker 1: let's go to Karen in Michigan. What's up, Karen, Hey Box,

900
00:53:32,880 --> 00:53:34,839
Speaker 1: how are you? I'm good? Thank you for your call.

901
00:53:35,880 --> 00:53:38,279
Speaker 1: So I don't have anything like profound to say, like

902
00:53:38,320 --> 00:53:40,480
Speaker 1: a lot of these guys are calling about, you know,

903
00:53:40,560 --> 00:53:43,560
Speaker 1: the strategies in China or anything. But um, I had

904
00:53:43,560 --> 00:53:46,080
Speaker 1: two things. The quick thing is, the issue with the

905
00:53:46,120 --> 00:53:50,240
Speaker 1: immigrants has the making of a really great seventies movies.

906
00:53:50,320 --> 00:53:53,560
Speaker 1: The military goes down there too. The bad guys you

907
00:53:53,600 --> 00:53:55,560
Speaker 1: know all those movies were like that. And the other

908
00:53:55,600 --> 00:53:58,279
Speaker 1: thing I wanted to say quick was the story of

909
00:53:58,320 --> 00:54:02,799
Speaker 1: this woman. The shooter Um reminds me so much of

910
00:54:02,840 --> 00:54:05,520
Speaker 1: that story about the Lady Um and it's done a

911
00:54:05,520 --> 00:54:08,279
Speaker 1: while back. I think she worked for NASA. She was

912
00:54:08,320 --> 00:54:11,319
Speaker 1: like an astronaut and she drove with a diaper on

913
00:54:11,480 --> 00:54:14,400
Speaker 1: like for eight hours to uh with the woman or

914
00:54:14,520 --> 00:54:18,000
Speaker 1: because she had like a lover's quarrel and yeah right,

915
00:54:18,000 --> 00:54:19,799
Speaker 1: and she had she had like duct tape in the

916
00:54:19,800 --> 00:54:24,000
Speaker 1: trunk of the car and weapons. It's just like I said, Okay,

917
00:54:24,160 --> 00:54:29,799
Speaker 1: these are accomplished, intelligent people. What is going on even

918
00:54:29,840 --> 00:54:31,879
Speaker 1: this one. I don't know if this woman was accomplished.

919
00:54:31,920 --> 00:54:34,520
Speaker 1: I but but I hear what you're saying. I think

920
00:54:34,560 --> 00:54:36,759
Speaker 1: that might be given her a little I've been too

921
00:54:36,840 --> 00:54:40,040
Speaker 1: much credit. I think the slope dips after a while.

922
00:54:40,080 --> 00:54:42,640
Speaker 1: But she was educated. And it just strikes me so

923
00:54:42,719 --> 00:54:44,840
Speaker 1: odd that somebody would go to school and work so

924
00:54:44,920 --> 00:54:48,000
Speaker 1: hard for a job and you know, get a career,

925
00:54:48,560 --> 00:54:52,000
Speaker 1: and then drive eight hours and the diaper to kill

926
00:54:52,400 --> 00:54:56,200
Speaker 1: your lover's fat person. It just seems bizarre, and it

927
00:54:56,320 --> 00:54:59,040
Speaker 1: is definitely bizarre. Karen, I ap appreciate you shields. I

928
00:54:59,200 --> 00:55:01,200
Speaker 1: thank you for calling her from a sign. Oh, there's

929
00:55:01,239 --> 00:55:03,440
Speaker 1: no doubt about it. When you just I don't care

930
00:55:03,480 --> 00:55:05,640
Speaker 1: what line of work you're in. If you decide it's

931
00:55:05,640 --> 00:55:07,440
Speaker 1: time to strap on a diaper because you're not gonna

932
00:55:07,640 --> 00:55:09,000
Speaker 1: you don't want to waste time and you don't want

933
00:55:09,040 --> 00:55:12,520
Speaker 1: to go to the bathroom, that's dedication. So whatever the

934
00:55:12,560 --> 00:55:14,839
Speaker 1: task at hand, maybe when you're like, you know what

935
00:55:14,880 --> 00:55:18,359
Speaker 1: I'm gonna Yeah, I mean, like, how many of us?

936
00:55:19,640 --> 00:55:21,640
Speaker 1: How many of us have you gonna long long drive?

937
00:55:22,800 --> 00:55:25,799
Speaker 1: You know, maybe maybe you had a bottle of a

938
00:55:25,800 --> 00:55:28,680
Speaker 1: bottle of sanka. Do they still make that, by the way,

939
00:55:28,760 --> 00:55:32,120
Speaker 1: Yeah they do. There's really And then I always yelled

940
00:55:32,160 --> 00:55:33,560
Speaker 1: because I say, it's what do they they call it

941
00:55:33,600 --> 00:55:35,480
Speaker 1: pop in the south or that you know, you got

942
00:55:35,560 --> 00:55:37,120
Speaker 1: all these weird terms the rest of the country. We

943
00:55:37,160 --> 00:55:39,400
Speaker 1: just call it soda here in New York, But I

944
00:55:39,440 --> 00:55:41,880
Speaker 1: think pop, right, But you know, you got an empty bottle.

945
00:55:42,920 --> 00:55:44,680
Speaker 1: You know, what what are you gonna do with that bottle?

946
00:55:44,719 --> 00:55:47,120
Speaker 1: Long car? Drive? You you really want to have to

947
00:55:47,160 --> 00:55:51,440
Speaker 1: pull over into the I'm just saying, people become you know,

948
00:55:51,640 --> 00:55:54,400
Speaker 1: this necessity is the mother of invention, and people become

949
00:55:54,520 --> 00:56:00,000
Speaker 1: very uh what's the word of looking in there's ingineusite

950
00:56:00,040 --> 00:56:03,360
Speaker 1: tea at work in long rides, sometimes involving empty bottles

951
00:56:03,360 --> 00:56:07,280
Speaker 1: and whatever else you got. So let's talk about Amazon.

952
00:56:07,520 --> 00:56:21,279
Speaker 1: Coming right up, he's holding the line for America buck

953
00:56:21,360 --> 00:56:25,520
Speaker 1: sex in his back. The post Office is losing billions

954
00:56:25,520 --> 00:56:28,440
Speaker 1: of dollars and the taxpayers are paying for them money

955
00:56:28,920 --> 00:56:33,120
Speaker 1: because it delivers packages for Amazon at a very below cost.

956
00:56:33,360 --> 00:56:36,200
Speaker 1: And that's not fair to the United States. It's not

957
00:56:36,320 --> 00:56:39,759
Speaker 1: fair to our taxpayers. And Amazon has the money to

958
00:56:39,800 --> 00:56:42,160
Speaker 1: pay the fair rate at the post Office, which would

959
00:56:42,200 --> 00:56:44,680
Speaker 1: be much more than their paying right now. But if

960
00:56:44,680 --> 00:56:48,080
Speaker 1: you look at the cost that we're subsidizing, we're giving

961
00:56:48,080 --> 00:56:52,120
Speaker 1: a subsidy to Amazon, and we're talking about billions of

962
00:56:52,160 --> 00:56:55,279
Speaker 1: dollars a year the real costs. And a report just

963
00:56:55,440 --> 00:56:59,080
Speaker 1: came out they said a dollar forty seven, I believe,

964
00:56:59,200 --> 00:57:02,320
Speaker 1: or about that for every time they deliver a package.

965
00:57:03,000 --> 00:57:06,000
Speaker 1: The United States government, meaning the Post Office, loses a

966
00:57:06,080 --> 00:57:09,560
Speaker 1: dollar forty seven. So Amazon is gonna have to pay

967
00:57:09,680 --> 00:57:11,719
Speaker 1: much more money to the Post Office. There's no doubt

968
00:57:11,760 --> 00:57:19,400
Speaker 1: about that. President Trump going after Amazon big lee. And

969
00:57:19,640 --> 00:57:21,320
Speaker 1: you know, I'm a little I'm a little torn here.

970
00:57:22,200 --> 00:57:28,480
Speaker 1: Because Amazon does so much for me, it has made

971
00:57:28,480 --> 00:57:31,880
Speaker 1: me so lazy that now the thought of actually like

972
00:57:32,000 --> 00:57:41,720
Speaker 1: having to go to the corner to buy toilet paper, milk, toothpaste,

973
00:57:41,840 --> 00:57:44,360
Speaker 1: I just expect it all to be waiting for me now,

974
00:57:44,400 --> 00:57:47,000
Speaker 1: and a little box when I get home to my

975
00:57:48,120 --> 00:57:51,560
Speaker 1: h to my home, I just expected to be there.

976
00:57:51,960 --> 00:57:54,760
Speaker 1: And whenever I actually have to go to a store

977
00:57:54,800 --> 00:57:57,840
Speaker 1: now to get something, I find myself thinking, can I

978
00:57:57,880 --> 00:58:00,400
Speaker 1: just get this on Amazon? If the answer is yes,

979
00:58:00,800 --> 00:58:03,200
Speaker 1: I can order it with my phone it is. It

980
00:58:03,280 --> 00:58:08,640
Speaker 1: makes me, uh well, supremely lazy, but also the conveniences

981
00:58:08,760 --> 00:58:13,200
Speaker 1: is incredible. Now. When I moved into an apartment this

982
00:58:13,200 --> 00:58:15,440
Speaker 1: this year, what was it a year ago? Almost a

983
00:58:15,520 --> 00:58:20,640
Speaker 1: year ago? Now, I think I bought of what was

984
00:58:20,720 --> 00:58:23,280
Speaker 1: in the apartment, including furniture and everything on it. Now.

985
00:58:23,280 --> 00:58:25,400
Speaker 1: Obviously I'm not much of an interior decorator. I'moun a

986
00:58:25,440 --> 00:58:28,840
Speaker 1: fancy guy, but it all came from Amazon. Amazon amazing,

987
00:58:29,680 --> 00:58:31,960
Speaker 1: you get anything. I love Amazon also because you can

988
00:58:32,000 --> 00:58:34,200
Speaker 1: even type in things that aren't a thing and will

989
00:58:34,240 --> 00:58:37,439
Speaker 1: find it for you. You're like, I need the thing

990
00:58:37,520 --> 00:58:40,560
Speaker 1: that attaches to the bottom of the table where I

991
00:58:40,560 --> 00:58:43,880
Speaker 1: can put the thing that looks at the and you're like, oh,

992
00:58:43,960 --> 00:58:46,360
Speaker 1: it's a it's a thing. I'm a Bob and I

993
00:58:46,360 --> 00:58:50,120
Speaker 1: can get it from and it'll be delivered in a day.

994
00:58:50,760 --> 00:58:54,840
Speaker 1: I love getting a Thingamabob's. I've had that experience many tests.

995
00:58:54,880 --> 00:58:57,200
Speaker 1: So Amazon is incredible. Is the reason that Jeff Bezos

996
00:58:57,280 --> 00:59:03,320
Speaker 1: is worth eighty billion dollars. But you know, if Trump,

997
00:59:03,560 --> 00:59:05,480
Speaker 1: if what Trump is saying is true, that they're getting

998
00:59:06,200 --> 00:59:09,960
Speaker 1: a ride on the post Office's coattails, that's something that

999
00:59:10,280 --> 00:59:14,160
Speaker 1: certainly needs to be looked at. And I've seen Pete. Look,

1000
00:59:14,240 --> 00:59:16,440
Speaker 1: I don't know enough. The Post Office loses money, as

1001
00:59:16,480 --> 00:59:19,200
Speaker 1: we all know, so would it would it surprise any

1002
00:59:19,240 --> 00:59:20,840
Speaker 1: of us if the Post Office was doing all this

1003
00:59:20,840 --> 00:59:24,160
Speaker 1: stuff for Amazon They're like, well, we'll lose money per package,

1004
00:59:24,240 --> 00:59:27,920
Speaker 1: but we'll make it up on volume. Um, it wouldn't

1005
00:59:27,920 --> 00:59:32,880
Speaker 1: surprise me at all. That said, you know, that's something

1006
00:59:33,000 --> 00:59:36,000
Speaker 1: that Post Office, federal government they should probably handle that, right.

1007
00:59:36,080 --> 00:59:39,480
Speaker 1: Speaking of the federal government, on the tax side of

1008
00:59:39,600 --> 00:59:44,360
Speaker 1: the equation, truth here is that I I'm sure that

1009
00:59:44,440 --> 00:59:49,280
Speaker 1: Amazon has all kinds of cool tax breaks and loopholes,

1010
00:59:49,560 --> 00:59:52,800
Speaker 1: probably along the lines of what General Electric, which is

1011
00:59:52,840 --> 00:59:57,640
Speaker 1: the company that's in rough shape. General Electric had some

1012
00:59:57,840 --> 01:00:02,560
Speaker 1: years ago where it paid think it was zero zero

1013
01:00:02,680 --> 01:00:07,560
Speaker 1: and zero tax on its on its revenue. Zero. How

1014
01:00:07,720 --> 01:00:10,080
Speaker 1: is that? Oh? A lot, a lot of very complicated

1015
01:00:10,920 --> 01:00:14,120
Speaker 1: financial engineering by the accountants. But by the way, I

1016
01:00:14,120 --> 01:00:15,360
Speaker 1: would like to get I would like to get a

1017
01:00:15,360 --> 01:00:17,680
Speaker 1: team of accounts that could help me somehow have zero

1018
01:00:17,960 --> 01:00:21,240
Speaker 1: in pay zero taxes. Right, A company can do it,

1019
01:00:21,280 --> 01:00:25,360
Speaker 1: Why can't an individual? I thought corporations are people? Aren't

1020
01:00:25,360 --> 01:00:30,640
Speaker 1: people corporations? Uh so, I agree that's a problem. But

1021
01:00:30,800 --> 01:00:33,880
Speaker 1: this is also a bigger problem, and that is we've

1022
01:00:33,960 --> 01:00:36,120
Speaker 1: got some tax cuts. Great, and they're a good thing.

1023
01:00:36,400 --> 01:00:38,880
Speaker 1: They're also very standard for the GOP. There's nothing about

1024
01:00:38,880 --> 01:00:43,240
Speaker 1: these tax cuts that's really ah blowing my mind. But

1025
01:00:45,240 --> 01:00:48,600
Speaker 1: I would like to see Trump, while he still has

1026
01:00:48,680 --> 01:00:52,240
Speaker 1: the time to push issues like this, talk about a

1027
01:00:52,320 --> 01:00:55,200
Speaker 1: fair tax or a flat tax. I'll take either. People say, buck,

1028
01:00:55,200 --> 01:00:57,000
Speaker 1: do you have a preference? I don't really just give

1029
01:00:57,040 --> 01:00:59,800
Speaker 1: me one or the other. As long as the tax

1030
01:01:00,000 --> 01:01:01,680
Speaker 1: code and this is probably a pretty good time to

1031
01:01:01,680 --> 01:01:04,320
Speaker 1: talking about this, folks, considering that tax days, you know,

1032
01:01:04,600 --> 01:01:08,600
Speaker 1: in a week and change. As long as the I R.

1033
01:01:08,800 --> 01:01:14,120
Speaker 1: S Code is seventy thousand plus pages. There will be

1034
01:01:15,320 --> 01:01:20,040
Speaker 1: all kinds of chicanery. Do you like that good good

1035
01:01:20,040 --> 01:01:23,560
Speaker 1: word I use? He uses the good words he does.

1036
01:01:24,320 --> 01:01:27,800
Speaker 1: He does. Doesn't know how many presidents are from Ohio,

1037
01:01:27,920 --> 01:01:30,280
Speaker 1: but I'll get to that later. Yeah, I know I

1038
01:01:30,400 --> 01:01:33,160
Speaker 1: mess that. People were like Buck, come on, man, weak sauce.

1039
01:01:33,320 --> 01:01:35,760
Speaker 1: It was very It's Jay either three hours of live

1040
01:01:35,840 --> 01:01:38,840
Speaker 1: radio at the time. You gotta gusual you're gonna run

1041
01:01:38,880 --> 01:01:41,960
Speaker 1: into some some stuff. You know you're gonna step in it.

1042
01:01:42,040 --> 01:01:44,400
Speaker 1: And with that one, my bad, Ohio you got you

1043
01:01:44,400 --> 01:01:46,120
Speaker 1: gotta got lots of presidents. I'll talk about that then

1044
01:01:46,200 --> 01:01:48,600
Speaker 1: later on. There's so many messages came in on that

1045
01:01:48,680 --> 01:01:51,160
Speaker 1: in the roll call. Trust me, we'll get to it. Um.

1046
01:01:52,440 --> 01:01:55,720
Speaker 1: So on Amazon. If it's a tax issue, that's where

1047
01:01:55,760 --> 01:01:57,560
Speaker 1: the Congress has to step in and actually do something.

1048
01:01:57,640 --> 01:01:59,840
Speaker 1: But Congress doesn't want to. I'll let you in a

1049
01:02:00,160 --> 01:02:03,080
Speaker 1: secret that you already know. Congress doesn't want to make

1050
01:02:03,080 --> 01:02:06,640
Speaker 1: a tax code that's transparent, that's fair, that's clear. Now,

1051
01:02:07,960 --> 01:02:10,560
Speaker 1: how are they gonna how are they gonna be powerful?

1052
01:02:11,240 --> 01:02:16,840
Speaker 1: How are they going to keep their jobs their prerogatives? Um,

1053
01:02:17,320 --> 01:02:20,480
Speaker 1: what are they going to do if they can't create

1054
01:02:20,560 --> 01:02:22,360
Speaker 1: carve outs in the tax code for people in the

1055
01:02:22,360 --> 01:02:25,640
Speaker 1: answer is, that's why they don't want to do it.

1056
01:02:26,840 --> 01:02:28,280
Speaker 1: That's why we're not going to get a fair tax

1057
01:02:28,320 --> 01:02:32,080
Speaker 1: of flat tax. And that's a great frustration because if

1058
01:02:32,160 --> 01:02:35,760
Speaker 1: you have powerful interests that are able to lobby Congress

1059
01:02:35,880 --> 01:02:38,880
Speaker 1: for their own giveaways and tax brace everything else, it's

1060
01:02:38,880 --> 01:02:44,120
Speaker 1: going to continue and continue. Is Amazon a problem, We'll see. Look,

1061
01:02:44,160 --> 01:02:47,200
Speaker 1: Walmart's getting very big in the digital space now too.

1062
01:02:47,400 --> 01:02:50,360
Speaker 1: You know that there's there's competition, right, it's just Amazon's.

1063
01:02:51,400 --> 01:02:56,880
Speaker 1: Amazon's also annoying to Trump, I think because it is,

1064
01:02:56,960 --> 01:03:01,400
Speaker 1: as he calls it, the Amazon Washington Post. There's a

1065
01:03:01,480 --> 01:03:05,760
Speaker 1: reason that Mr Bezos wanted what is I think the

1066
01:03:05,880 --> 01:03:09,000
Speaker 1: second favorite paper of liberals in this country. You pay

1067
01:03:09,040 --> 01:03:12,439
Speaker 1: two U fifty million dollars for it, which Bezos has

1068
01:03:13,160 --> 01:03:16,960
Speaker 1: in his couch cushions. And we can't think for a

1069
01:03:17,000 --> 01:03:21,800
Speaker 1: second that that doesn't influence There's no way, right, people say, oh,

1070
01:03:21,880 --> 01:03:25,320
Speaker 1: but buck, then no one at Amazon actually gives directives

1071
01:03:25,400 --> 01:03:29,000
Speaker 1: the Washington Post that they should cover things. Yeah, but

1072
01:03:29,080 --> 01:03:32,400
Speaker 1: people at the Washington Post certainly no Amazon writes the

1073
01:03:32,480 --> 01:03:37,880
Speaker 1: checks here. The Washington Post is, for all intents and purposes,

1074
01:03:38,600 --> 01:03:40,840
Speaker 1: when it comes to the way they cover things related

1075
01:03:40,880 --> 01:03:45,720
Speaker 1: to Amazon and Business a subsidiary of Amazon. Okay, I

1076
01:03:45,840 --> 01:03:48,280
Speaker 1: know that freak out if they heard me say that,

1077
01:03:48,440 --> 01:03:49,840
Speaker 1: or they'd be like, who is this guy with the

1078
01:03:49,880 --> 01:03:53,200
Speaker 1: poofy hair and the big voice and a huge head um.

1079
01:03:53,880 --> 01:03:56,160
Speaker 1: But that's that's the reality of it, that's the truth.

1080
01:03:57,040 --> 01:03:59,240
Speaker 1: So well, I's about to see. We'll see if Trump

1081
01:03:59,320 --> 01:04:01,680
Speaker 1: can continue, and I'm most surprised. But I do love

1082
01:04:01,720 --> 01:04:03,760
Speaker 1: it when I can get my thing of a bob

1083
01:04:03,800 --> 01:04:06,200
Speaker 1: delivered free of charge in twenty four hours and I

1084
01:04:06,200 --> 01:04:08,800
Speaker 1: don't have to get I just stay in sweats all day.

1085
01:04:09,560 --> 01:04:13,680
Speaker 1: All my consumer needs basically met via via Amazon these days,

1086
01:04:14,840 --> 01:04:17,840
Speaker 1: so that's kind of fun. I like that part of it. Oh,

1087
01:04:17,920 --> 01:04:20,840
Speaker 1: we've got to talk about Mueller and the probe. We

1088
01:04:20,920 --> 01:04:23,080
Speaker 1: are joined by a legal expert, our friend and the

1089
01:04:23,120 --> 01:04:27,880
Speaker 1: Campania with that up next. The biggest development I thought

1090
01:04:27,920 --> 01:04:29,920
Speaker 1: in the last couple of days is that it's now

1091
01:04:30,000 --> 01:04:33,040
Speaker 1: obvious that Mueller thinks and he's wrong, that he thinks

1092
01:04:33,120 --> 01:04:36,520
Speaker 1: collusion is a crime. In his memo, he talks about

1093
01:04:36,960 --> 01:04:41,040
Speaker 1: colluding with the Russians or collusion as a crime against

1094
01:04:41,120 --> 01:04:43,480
Speaker 1: the federal government. I want to issue a challenge to

1095
01:04:43,600 --> 01:04:47,960
Speaker 1: him right now, I challenge Special Counsel Mueller to cite

1096
01:04:48,080 --> 01:04:51,840
Speaker 1: the statute or the case, or the source or any

1097
01:04:52,080 --> 01:04:56,320
Speaker 1: legal information that would make collusion or colluding with Russia

1098
01:04:56,400 --> 01:04:58,880
Speaker 1: a crime. He's not going to be able to find,

1099
01:05:00,000 --> 01:05:03,640
Speaker 1: are you? Why do you there? He had Professor Dershowitz,

1100
01:05:03,880 --> 01:05:06,720
Speaker 1: the dirsh he was on actually right before me today

1101
01:05:06,760 --> 01:05:08,560
Speaker 1: over at Fox News. I was answered, I was hanging

1102
01:05:08,560 --> 01:05:12,160
Speaker 1: out with my my main man hammer and uh, we

1103
01:05:12,240 --> 01:05:14,760
Speaker 1: had a good time talking about spying stuff in d C.

1104
01:05:15,240 --> 01:05:20,080
Speaker 1: But before that, sure enough, we had uh, we had

1105
01:05:20,120 --> 01:05:22,840
Speaker 1: Professor dirsch Woods and he was saying, collusion is not

1106
01:05:22,960 --> 01:05:25,080
Speaker 1: a crime. But we have our own legal expert here,

1107
01:05:25,680 --> 01:05:28,680
Speaker 1: our freedom Hunt legal expert. That's right. Emily Campanio is

1108
01:05:28,760 --> 01:05:30,760
Speaker 1: with us now. You can follow her on Twitter at

1109
01:05:30,800 --> 01:05:34,880
Speaker 1: Emily Campanio, and she's a lawyer, legal analyst. She knows

1110
01:05:34,920 --> 01:05:36,840
Speaker 1: about all these things, and she's with us. Emily, thank

1111
01:05:36,840 --> 01:05:41,960
Speaker 1: you so much for calling in, Thanks for having appreciate it. So, uh,

1112
01:05:42,520 --> 01:05:46,120
Speaker 1: what do you think about this collusion issue raised or

1113
01:05:46,160 --> 01:05:47,960
Speaker 1: that that dirsch Witz is addressing here, we're saying that

1114
01:05:48,120 --> 01:05:51,840
Speaker 1: Mueller now it seems to be acting under the premise

1115
01:05:52,360 --> 01:05:55,120
Speaker 1: that collusion is a crime, and as Professor Dirshwoods points out,

1116
01:05:55,520 --> 01:05:58,360
Speaker 1: this is pretty straightforward. It either exists in criminal statute

1117
01:05:58,440 --> 01:06:01,760
Speaker 1: or does it right, He's absolutely correct, and you know

1118
01:06:02,040 --> 01:06:04,720
Speaker 1: what it is. You could argue semantics, but obviously in

1119
01:06:04,800 --> 01:06:08,880
Speaker 1: the eyes of the law, semantics matters. What is against

1120
01:06:08,960 --> 01:06:14,000
Speaker 1: the law is conspiracy, right, or concerted activity towards violating

1121
01:06:14,040 --> 01:06:16,560
Speaker 1: a federal statute. That's what you can prove, and that

1122
01:06:16,800 --> 01:06:20,360
Speaker 1: is what we can find in the federal in criminal

1123
01:06:20,440 --> 01:06:23,280
Speaker 1: law right, federal antitate. Um, So there's no there's no

1124
01:06:23,440 --> 01:06:25,800
Speaker 1: collusion against the law. And so I think what what

1125
01:06:26,280 --> 01:06:30,200
Speaker 1: Alander's wits is sing rightly so is just get your

1126
01:06:30,240 --> 01:06:33,160
Speaker 1: facts straight, get your words straight. And unfortunately, what that

1127
01:06:33,280 --> 01:06:36,400
Speaker 1: does is create this currency and this narrative that now

1128
01:06:36,600 --> 01:06:39,800
Speaker 1: everyone is talking about. But really it's inaccurate and it

1129
01:06:39,880 --> 01:06:44,560
Speaker 1: doesn't do anyone good to think that they know either

1130
01:06:44,760 --> 01:06:48,080
Speaker 1: what is the point of the investigation or what he's

1131
01:06:48,120 --> 01:06:51,480
Speaker 1: really looking for. When frankly, again jurch Wiz is right,

1132
01:06:51,560 --> 01:06:54,200
Speaker 1: there's no such thing as collusion being against the law.

1133
01:06:54,280 --> 01:06:59,120
Speaker 1: So again it's conspiracy or concerted activity towards violating a

1134
01:06:59,200 --> 01:07:03,640
Speaker 1: federal statute, and that federal statute would not be quote unquote, Emily,

1135
01:07:03,680 --> 01:07:05,720
Speaker 1: why is it that you? Why do you think and

1136
01:07:05,960 --> 01:07:08,960
Speaker 1: I'm asking you to surmise here because you can't know,

1137
01:07:09,400 --> 01:07:11,720
Speaker 1: But why do you think that they don't just say

1138
01:07:11,840 --> 01:07:15,280
Speaker 1: that they're investigating conspiracy? Right? Wouldn't that be much more

1139
01:07:15,440 --> 01:07:18,960
Speaker 1: clear and much more straightforward, because to me, it suggests

1140
01:07:19,400 --> 01:07:22,080
Speaker 1: that collusion could be just whatever people wanted to be.

1141
01:07:22,200 --> 01:07:26,320
Speaker 1: It could be essentially a political charge without it actually

1142
01:07:26,360 --> 01:07:28,520
Speaker 1: being a criminal charge. Do you do you have any

1143
01:07:28,560 --> 01:07:31,080
Speaker 1: sense of why not you say the look at a conspiracy?

1144
01:07:32,600 --> 01:07:34,760
Speaker 1: The only argument I could make for that as a

1145
01:07:34,840 --> 01:07:38,360
Speaker 1: strategy is goes back to actually the issue with it,

1146
01:07:38,600 --> 01:07:40,640
Speaker 1: which is the fact that it's kind of this colloquial

1147
01:07:40,960 --> 01:07:44,760
Speaker 1: umbrella term that has no actual legal definition. And so

1148
01:07:44,960 --> 01:07:48,520
Speaker 1: perhaps that is purposeful in that it enables the investigation

1149
01:07:48,680 --> 01:07:52,480
Speaker 1: to from under that rubric of quote unquote collusion, find

1150
01:07:52,760 --> 01:07:58,880
Speaker 1: specific charges or statutes that alleged behavior has um has

1151
01:07:59,200 --> 01:08:02,360
Speaker 1: infringed upon ours, has been done toward right, Meaning it

1152
01:08:02,440 --> 01:08:06,480
Speaker 1: basically says, look, we are investigating this big broad term

1153
01:08:06,720 --> 01:08:10,000
Speaker 1: under which a lot of specific crimes could fall under,

1154
01:08:10,200 --> 01:08:13,640
Speaker 1: or specific target could fall under. And that's why it

1155
01:08:13,760 --> 01:08:16,360
Speaker 1: creates a broader stroke that we can then paint with.

1156
01:08:16,640 --> 01:08:20,080
Speaker 1: So that would be the only argument strategically that I see,

1157
01:08:20,320 --> 01:08:24,200
Speaker 1: because definitely it's inaccurate, overbroad, and again not in the

1158
01:08:24,240 --> 01:08:26,559
Speaker 1: criminal system. I want to continue with our trend here

1159
01:08:26,640 --> 01:08:31,800
Speaker 1: of having an Emily Campanio analyze the dirshes analysis. So

1160
01:08:32,040 --> 01:08:34,400
Speaker 1: please play clip two. He has to be a subject,

1161
01:08:34,520 --> 01:08:37,519
Speaker 1: not a target before the Justice Department can ask him

1162
01:08:37,600 --> 01:08:42,080
Speaker 1: to uh testify. Generally, the Justice Department does not ask

1163
01:08:42,160 --> 01:08:45,160
Speaker 1: targets to testify because if you're a target, that means

1164
01:08:45,240 --> 01:08:49,000
Speaker 1: you're going to be prosecuted. And uh so telling him

1165
01:08:49,040 --> 01:08:51,800
Speaker 1: he's a subject is just another way of saying, we

1166
01:08:51,920 --> 01:08:54,160
Speaker 1: want you to testify. We're gonna subpoenea you in front

1167
01:08:54,200 --> 01:08:56,360
Speaker 1: of the grand jury if we can't make a deal

1168
01:08:56,640 --> 01:09:00,800
Speaker 1: with you. Um it's it's a magic cold word. It's

1169
01:09:00,840 --> 01:09:03,200
Speaker 1: just a way of saying, you have no excuse not

1170
01:09:03,360 --> 01:09:06,840
Speaker 1: to testify because you're not a target. You're just a subjection.

1171
01:09:07,280 --> 01:09:09,200
Speaker 1: So what can you tell us about this a target,

1172
01:09:09,840 --> 01:09:14,200
Speaker 1: person of interest, subject, witness, suspect, all these different terms,

1173
01:09:14,680 --> 01:09:17,640
Speaker 1: target and subject? What's the difference here that we need

1174
01:09:17,680 --> 01:09:20,840
Speaker 1: to know about? Right? First of all, I agree with

1175
01:09:21,000 --> 01:09:23,040
Speaker 1: the dirt as you call them, just so funny, and

1176
01:09:23,520 --> 01:09:26,640
Speaker 1: I think of it as a spectrum, dear listeners, and

1177
01:09:27,080 --> 01:09:30,760
Speaker 1: it's a target is on one end, and again is

1178
01:09:30,760 --> 01:09:35,200
Speaker 1: correct where it's it's someone that investigators have substantial evidence

1179
01:09:35,720 --> 01:09:38,560
Speaker 1: that ties them to a crime and who is a

1180
01:09:38,680 --> 01:09:41,400
Speaker 1: putative defendant, which means they are likely to face charges.

1181
01:09:41,680 --> 01:09:43,560
Speaker 1: So that's one end of the spectrum. And then on

1182
01:09:43,640 --> 01:09:45,479
Speaker 1: the other end of the spectrum would be you know,

1183
01:09:45,600 --> 01:09:48,360
Speaker 1: you just mentioned a witness, right, so that would be

1184
01:09:48,640 --> 01:09:51,320
Speaker 1: someone that an investigator wants to talk to, you know,

1185
01:09:51,520 --> 01:09:54,439
Speaker 1: likely has information, maybe doesn't UM, but they are not

1186
01:09:54,600 --> 01:09:57,560
Speaker 1: specifically investigating that particular person. That's why they would be

1187
01:09:57,560 --> 01:10:00,360
Speaker 1: a witnessed. And then in the middle, it's would be

1188
01:10:00,479 --> 01:10:03,639
Speaker 1: the subject, and that is someone whose conduct is within

1189
01:10:03,760 --> 01:10:06,439
Speaker 1: the scope of that investigation. You know, it's it's basically

1190
01:10:06,520 --> 01:10:11,160
Speaker 1: someone UM who's under scrutiny. And it also means that

1191
01:10:11,320 --> 01:10:14,519
Speaker 1: someone who is a subject can very easily become a

1192
01:10:14,720 --> 01:10:19,439
Speaker 1: target after said interview that you just mentioned, or after

1193
01:10:19,640 --> 01:10:23,280
Speaker 1: uncovering you know, more evidence, or they can be put

1194
01:10:23,439 --> 01:10:25,920
Speaker 1: up the spectrum back to simple witness. If look, here's

1195
01:10:26,160 --> 01:10:28,519
Speaker 1: here's what they told us, and it all checks out

1196
01:10:28,640 --> 01:10:31,040
Speaker 1: and they're they're simply a witness. May has given us investigation.

1197
01:10:31,040 --> 01:10:33,800
Speaker 1: They're no longer a subject. So to me, ay, I

1198
01:10:33,880 --> 01:10:37,400
Speaker 1: agree with that distinction. And the it wasn't a surprise.

1199
01:10:37,479 --> 01:10:39,240
Speaker 1: I mean, that's that's been the whole point of the

1200
01:10:39,280 --> 01:10:41,599
Speaker 1: smaller investigation to begin with, right, is that we knew

1201
01:10:41,640 --> 01:10:45,320
Speaker 1: the president was a subject of it. So to me,

1202
01:10:45,760 --> 01:10:49,360
Speaker 1: this just reinforced what we already knew and then brought

1203
01:10:49,439 --> 01:10:52,080
Speaker 1: to light again these terms so that the public could

1204
01:10:52,160 --> 01:10:54,680
Speaker 1: educate themselves as to what they mean legally. Family, you've

1205
01:10:54,680 --> 01:10:57,559
Speaker 1: worked on a lot of a lot of cases, including

1206
01:10:57,600 --> 01:11:01,360
Speaker 1: a federal federal criminal cases in your career. Tell me

1207
01:11:01,600 --> 01:11:04,960
Speaker 1: about whether you can we get a sense as is

1208
01:11:05,000 --> 01:11:07,439
Speaker 1: the Mueller probe based on what we're hearing and seeing

1209
01:11:07,520 --> 01:11:11,519
Speaker 1: and these announcements, is it getting in the final phases here?

1210
01:11:11,640 --> 01:11:15,240
Speaker 1: Or do we have any idea about the timeline? I

1211
01:11:15,280 --> 01:11:19,320
Speaker 1: will say no amount of experience could could enable me

1212
01:11:19,439 --> 01:11:22,560
Speaker 1: to accurately gauge that, because everything is different. But I

1213
01:11:22,640 --> 01:11:25,200
Speaker 1: will say, clinically, looking at this from the beginning, we

1214
01:11:25,240 --> 01:11:27,120
Speaker 1: thought it would be wrapped up within three months. Right,

1215
01:11:27,200 --> 01:11:29,360
Speaker 1: That's what Mueller has teemed specifically said, And now we're

1216
01:11:29,360 --> 01:11:33,559
Speaker 1: stretching towards a year, and it would behoove everyone involved

1217
01:11:33,560 --> 01:11:35,519
Speaker 1: in that investigation and especially in the public if it

1218
01:11:35,560 --> 01:11:38,760
Speaker 1: were wrapped up soon for a multitude of reasons, one

1219
01:11:38,880 --> 01:11:42,560
Speaker 1: being our faith in the effectiveness of the investigation and

1220
01:11:42,640 --> 01:11:45,719
Speaker 1: our tex dollars that are paying for it, and also

1221
01:11:45,840 --> 01:11:47,519
Speaker 1: so that we make sure that it's far away from

1222
01:11:47,560 --> 01:11:49,760
Speaker 1: the mid term elections. Right we want to make sure

1223
01:11:49,840 --> 01:11:53,080
Speaker 1: that there there isn't any more that can be brought

1224
01:11:53,160 --> 01:11:57,599
Speaker 1: to the table as arguing against election integrity or arguing

1225
01:11:57,720 --> 01:12:00,559
Speaker 1: that things have been changed or affected in some way.

1226
01:12:00,880 --> 01:12:03,240
Speaker 1: And I also feel that there's a measure of fatigue

1227
01:12:03,240 --> 01:12:05,680
Speaker 1: associated with it. Right. Um, but I will say, you know,

1228
01:12:05,760 --> 01:12:08,280
Speaker 1: going back again, it's just my experience. Oh no, I've

1229
01:12:08,280 --> 01:12:12,599
Speaker 1: seen investigations last forever and then some that wrap up quickly.

1230
01:12:12,720 --> 01:12:15,479
Speaker 1: So um, just for listeners, I think it could be anything.

1231
01:12:15,560 --> 01:12:17,519
Speaker 1: But again for the reasons why I stated, it would

1232
01:12:17,600 --> 01:12:20,280
Speaker 1: behoove them to wrap this up as soon as possible,

1233
01:12:20,280 --> 01:12:23,760
Speaker 1: and also to prevent the argument that, look, is this

1234
01:12:24,400 --> 01:12:27,240
Speaker 1: has just become or with this always a fishing expedition,

1235
01:12:27,400 --> 01:12:29,280
Speaker 1: like you know you have at some point you have

1236
01:12:29,439 --> 01:12:35,160
Speaker 1: to surrender rather than keep digging and digging digging. Emily

1237
01:12:35,240 --> 01:12:38,200
Speaker 1: compon You everyone legal analysts follow her on Twitter at

1238
01:12:38,280 --> 01:12:40,920
Speaker 1: Emily compon You and also Emily compon You dot Com

1239
01:12:41,080 --> 01:12:43,200
Speaker 1: is her site. Emily always great to have you. Thank

1240
01:12:43,240 --> 01:12:44,920
Speaker 1: you so much for the time. We'll talk to you soon.

1241
01:12:46,000 --> 01:12:49,599
Speaker 1: Thanks Buck, talk soon. All right, team, we got our

1242
01:12:49,720 --> 01:12:51,320
Speaker 1: three coming up. I'm gonna tell you a little bit

1243
01:12:51,320 --> 01:12:55,439
Speaker 1: about fake news. You've got some new new folks weighing

1244
01:12:55,479 --> 01:12:57,519
Speaker 1: in on the fake news or one guy in particular.

1245
01:12:57,560 --> 01:13:01,120
Speaker 1: We're gonna have some fun with it because, wow, among

1246
01:13:01,200 --> 01:13:04,240
Speaker 1: the worst people ever to be giving tutorials on what

1247
01:13:04,400 --> 01:13:06,400
Speaker 1: is and is not fake news. You can't even make

1248
01:13:06,479 --> 01:13:08,640
Speaker 1: this stuff up. I can't make it up, and I'm

1249
01:13:08,680 --> 01:13:11,439
Speaker 1: a pretty creative guy. So we'll be talking about that also.

1250
01:13:11,600 --> 01:13:14,920
Speaker 1: Zombie raccoons. M hm. You want to know about that.

1251
01:13:14,960 --> 01:13:17,000
Speaker 1: You gotta stay and keep listening because that's gonna be

1252
01:13:17,040 --> 01:13:22,559
Speaker 1: the next hour and uh hug a newsman day. We'll

1253
01:13:22,600 --> 01:13:26,760
Speaker 1: discuss we'll discuss our three coming up. Welcome to our

1254
01:13:26,880 --> 01:13:28,800
Speaker 1: three team. Great to have you here with me. So

1255
01:13:29,760 --> 01:13:31,160
Speaker 1: a lot of a lot of debates, a lot of

1256
01:13:31,200 --> 01:13:36,280
Speaker 1: discussions out there, as you all know, about fake news.

1257
01:13:36,520 --> 01:13:40,880
Speaker 1: People keep talking about it. Trump has more than any

1258
01:13:41,000 --> 01:13:45,000
Speaker 1: figure in recent memory, held the media to account by saying,

1259
01:13:45,040 --> 01:13:49,280
Speaker 1: you know what, fake news is a real problem, and

1260
01:13:49,400 --> 01:13:51,479
Speaker 1: some of the biggest news outlets in the country are

1261
01:13:51,560 --> 01:13:54,840
Speaker 1: in fact guilty of it, either from time to time

1262
01:13:55,000 --> 01:13:59,679
Speaker 1: or sometimes some places, some organizations guilty of it a lot.

1263
01:14:01,000 --> 01:14:04,960
Speaker 1: But who should we turn to? What wise sage in

1264
01:14:05,040 --> 01:14:07,720
Speaker 1: the news space could we count on to let us

1265
01:14:07,840 --> 01:14:11,120
Speaker 1: know the truth fake news and how to avoid it.

1266
01:14:11,439 --> 01:14:16,200
Speaker 1: Here is a guide to protecting yourself against fake news

1267
01:14:17,000 --> 01:14:21,120
Speaker 1: from Dan Rather, the King of Fake News. If you're

1268
01:14:21,120 --> 01:14:25,479
Speaker 1: really interested in identifying fake news and figuring out what

1269
01:14:25,720 --> 01:14:29,400
Speaker 1: to believe, if you're truly invested in the work of

1270
01:14:29,479 --> 01:14:33,640
Speaker 1: being a good informed citizen, May I respectfully all for

1271
01:14:33,760 --> 01:14:38,320
Speaker 1: a short number one? Lets let's pause it for a second.

1272
01:14:38,439 --> 01:14:40,880
Speaker 1: Let's pause it for a second. Here you have a

1273
01:14:40,960 --> 01:14:45,360
Speaker 1: man who belongs to an era of TV news and

1274
01:14:45,479 --> 01:14:52,599
Speaker 1: TV journalism that is is rapidly going away. And he's

1275
01:14:52,640 --> 01:14:55,080
Speaker 1: someone who didn't have the competition you have to deal

1276
01:14:55,120 --> 01:14:57,960
Speaker 1: with today, certainly didn't have the Internet, didn't have all

1277
01:14:58,000 --> 01:15:02,360
Speaker 1: this different stuff. He was really a glorified actor. He

1278
01:15:02,520 --> 01:15:06,120
Speaker 1: would go on television none sound like this on how

1279
01:15:06,160 --> 01:15:09,680
Speaker 1: does hair a certain way and would stare into the

1280
01:15:09,880 --> 01:15:14,960
Speaker 1: camera a certain way. Now I actually this is random

1281
01:15:15,000 --> 01:15:17,920
Speaker 1: but true. Was an intern at CBS Evening News with

1282
01:15:18,000 --> 01:15:22,719
Speaker 1: Dan Rather when I was eighteen years old. My first

1283
01:15:22,800 --> 01:15:25,240
Speaker 1: ever internship, even though I didn't think I ever wanted

1284
01:15:25,280 --> 01:15:29,440
Speaker 1: to work in media, was in media because the executive

1285
01:15:29,439 --> 01:15:31,719
Speaker 1: producer at the time was a graduate of my high school,

1286
01:15:31,840 --> 01:15:34,080
Speaker 1: and his name just was on one of these lists

1287
01:15:34,120 --> 01:15:36,559
Speaker 1: of people you reach out to if you want an internship, right,

1288
01:15:36,600 --> 01:15:38,840
Speaker 1: so I checked it out. So I was there for

1289
01:15:39,000 --> 01:15:41,160
Speaker 1: for Dan Rather, and I remember showing up and and

1290
01:15:41,240 --> 01:15:42,960
Speaker 1: doing all the little intern things, you know. I was

1291
01:15:43,040 --> 01:15:45,880
Speaker 1: xeroxing and running scripts, which is a fancy way of

1292
01:15:45,960 --> 01:15:48,880
Speaker 1: saying taking things off a printer and handing them the people.

1293
01:15:49,479 --> 01:15:51,200
Speaker 1: It was good at that job. I did it with

1294
01:15:51,400 --> 01:15:54,920
Speaker 1: with Gusto. But I remember thinking, this guy Dan Rather,

1295
01:15:55,320 --> 01:15:57,880
Speaker 1: he shows up every day for his I forget was

1296
01:15:57,920 --> 01:16:00,280
Speaker 1: it five thirty or I guess six thirty, Broad asked.

1297
01:16:00,680 --> 01:16:02,439
Speaker 1: He shows up every day at like three o'clock in

1298
01:16:02,479 --> 01:16:06,360
Speaker 1: the afternoon, spends about forty minutes in the makeup chair,

1299
01:16:07,200 --> 01:16:09,320
Speaker 1: making sure that everything is just so, and kind of

1300
01:16:09,400 --> 01:16:13,960
Speaker 1: just gathering and talking. Yeah, and then he sits there

1301
01:16:14,000 --> 01:16:16,400
Speaker 1: and reads the words that someone else has written for

1302
01:16:16,600 --> 01:16:19,280
Speaker 1: him off of a prompter and goes home. And he

1303
01:16:19,400 --> 01:16:21,360
Speaker 1: was making seven million dollars a year to do that

1304
01:16:23,200 --> 01:16:27,400
Speaker 1: half hour show. Folks, I sit here, unscripted, doing the

1305
01:16:27,479 --> 01:16:29,360
Speaker 1: three hour radio show for you. So let me tell

1306
01:16:29,360 --> 01:16:32,040
Speaker 1: you when I say that a half hour show is

1307
01:16:32,160 --> 01:16:36,599
Speaker 1: really really not hard on TV. I mean it, especially

1308
01:16:36,640 --> 01:16:39,479
Speaker 1: when you're not even going extemporaneous. You're not just flying

1309
01:16:39,520 --> 01:16:42,840
Speaker 1: off the cuff. You're actually just reading off of the

1310
01:16:42,880 --> 01:16:46,640
Speaker 1: teleprompter what they tell you to. But John rather sounded

1311
01:16:46,720 --> 01:16:49,559
Speaker 1: the part, looked the part. But then yeah, a little

1312
01:16:49,680 --> 01:16:53,559
Speaker 1: little boo boo, little little snaffoo. Remember the whole National

1313
01:16:53,600 --> 01:16:56,120
Speaker 1: Guard document thing with Bush where he went on air

1314
01:16:56,240 --> 01:16:59,240
Speaker 1: with forged documents that could have changed the course of

1315
01:16:59,280 --> 01:17:03,640
Speaker 1: a presidential election. That was in fact fake news. And

1316
01:17:04,360 --> 01:17:07,479
Speaker 1: I would argue among the fakest of fake news moments

1317
01:17:07,520 --> 01:17:09,880
Speaker 1: that our media has ever dealt with. And I think

1318
01:17:10,000 --> 01:17:14,280
Speaker 1: there's just a particular hubris of having the king of

1319
01:17:14,400 --> 01:17:18,360
Speaker 1: fake news himself trying to tell this just was went

1320
01:17:18,439 --> 01:17:20,679
Speaker 1: out today, right, I'm not pulling something from the vault

1321
01:17:20,720 --> 01:17:24,200
Speaker 1: from years ago. He's out there trying to inform Americans

1322
01:17:24,320 --> 01:17:27,720
Speaker 1: about fake news out And since he's doing that, why

1323
01:17:27,720 --> 01:17:30,320
Speaker 1: don't we hear a little more saying that trusting a

1324
01:17:30,400 --> 01:17:34,120
Speaker 1: news outlet does not mean they're perfect. No one's perfect.

1325
01:17:34,720 --> 01:17:38,200
Speaker 1: It means they tell you when they screw up. Number two.

1326
01:17:39,080 --> 01:17:44,320
Speaker 1: Don't rely on just one news outlet. Number three, don't

1327
01:17:44,400 --> 01:17:48,759
Speaker 1: rely on just the news to understand an issue. Read books,

1328
01:17:49,040 --> 01:17:53,640
Speaker 1: find the experts, find out how issues are discussed outside

1329
01:17:53,920 --> 01:17:56,040
Speaker 1: of news. All right, So what do you have here

1330
01:17:56,840 --> 01:18:04,720
Speaker 1: is essentially condescending pompous Mr Rogers, That's what's going on.

1331
01:18:05,600 --> 01:18:08,840
Speaker 1: Condescending pompous Mr Rogers. No offense to Mr Rogers, But

1332
01:18:08,880 --> 01:18:13,679
Speaker 1: you're gonna read books. Don't just rely on one source

1333
01:18:13,760 --> 01:18:18,080
Speaker 1: for your news. Uh? And also no news sources perfect.

1334
01:18:18,160 --> 01:18:21,240
Speaker 1: We know everyone knows all of this. Literally, no one

1335
01:18:21,520 --> 01:18:24,439
Speaker 1: needs to be told any of this. Why Dan rather

1336
01:18:25,280 --> 01:18:28,960
Speaker 1: who got Look he's very lucky. He's a very lucky guy.

1337
01:18:29,640 --> 01:18:36,559
Speaker 1: There were forty other dudes with you know, nondescript coastal

1338
01:18:36,680 --> 01:18:41,200
Speaker 1: accents and side parted hair. I can say it because

1339
01:18:41,240 --> 01:18:43,920
Speaker 1: that's how I rock the side part Obviously that could

1340
01:18:43,960 --> 01:18:45,920
Speaker 1: have had that job. But he had that job and

1341
01:18:46,040 --> 01:18:51,040
Speaker 1: became incredibly wealthy, And you know, he's had a great run, right,

1342
01:18:51,120 --> 01:18:53,080
Speaker 1: he's a very lucky guy. But you know what it

1343
01:18:53,240 --> 01:18:56,679
Speaker 1: is the ego that people develop when they achieve any

1344
01:18:56,760 --> 01:19:01,360
Speaker 1: degree of notoriety in this business, especially when they have

1345
01:19:01,600 --> 01:19:05,880
Speaker 1: fame and wealth. A lot of people get overcome by

1346
01:19:05,960 --> 01:19:09,680
Speaker 1: their own ego. It just the ego monster is uncontrollable.

1347
01:19:09,760 --> 01:19:12,200
Speaker 1: I think with someone like Dan Rather, he really believes

1348
01:19:12,960 --> 01:19:15,320
Speaker 1: that he needs to set things right and that he's

1349
01:19:15,320 --> 01:19:18,000
Speaker 1: still a necessary part of the national conversation. Reminds me

1350
01:19:18,120 --> 01:19:20,040
Speaker 1: Larry Kings. I was like, hey, I'll come back on,

1351
01:19:20,360 --> 01:19:23,519
Speaker 1: you know, I'll interview anyone. Let's get it go. And

1352
01:19:23,600 --> 01:19:26,880
Speaker 1: it's like, we don't need we don't need him, We

1353
01:19:26,920 --> 01:19:28,479
Speaker 1: don't we don't need Larry King. It's okay, he had

1354
01:19:28,520 --> 01:19:31,400
Speaker 1: a great run. He had a great run, very lucky guy.

1355
01:19:32,360 --> 01:19:34,960
Speaker 1: But there are other people that will do these jobs. Now.

1356
01:19:35,880 --> 01:19:38,960
Speaker 1: It's okay to you know, focus on other things, focus

1357
01:19:39,040 --> 01:19:41,200
Speaker 1: on your private life, your personal life, your family, charity,

1358
01:19:41,240 --> 01:19:45,400
Speaker 1: whatever it may be. But journalists just don't want to

1359
01:19:45,439 --> 01:19:47,800
Speaker 1: give it up. And particular TV journalist and particularly do

1360
01:19:48,160 --> 01:19:52,120
Speaker 1: not ever want to step aside, never want to. They

1361
01:19:52,360 --> 01:19:55,080
Speaker 1: unlike when you think about other careers, you know, with

1362
01:19:55,240 --> 01:19:58,200
Speaker 1: everything from a small family business in all the way

1363
01:19:58,240 --> 01:20:01,320
Speaker 1: up to corporate America. People at some point generally want

1364
01:20:01,360 --> 01:20:03,559
Speaker 1: to stop, you know, they generally want to retire. These

1365
01:20:03,640 --> 01:20:06,840
Speaker 1: people in the in the media business who are from

1366
01:20:06,880 --> 01:20:09,800
Speaker 1: the old school of journalism, people like Dan Rather, Larry

1367
01:20:09,880 --> 01:20:13,000
Speaker 1: King and others, they never want to stop and never

1368
01:20:13,040 --> 01:20:14,760
Speaker 1: want to step aside. They think they should have the

1369
01:20:14,840 --> 01:20:18,320
Speaker 1: big job forever. Well, you know, that's not how it

1370
01:20:18,400 --> 01:20:21,600
Speaker 1: works the circle of life, my friends. It's time for

1371
01:20:21,680 --> 01:20:26,680
Speaker 1: some new stuff. But rather, I'm gonna try to have

1372
01:20:27,160 --> 01:20:29,160
Speaker 1: a play on words using his name there, I'm gonna

1373
01:20:29,200 --> 01:20:32,360
Speaker 1: avoid that. Rather would rather, I guess I just did

1374
01:20:32,400 --> 01:20:35,200
Speaker 1: it tell us all that we need to read books.

1375
01:20:35,680 --> 01:20:38,080
Speaker 1: He would rather lecture us on fake news. And there's

1376
01:20:38,120 --> 01:20:43,000
Speaker 1: something particularly galling about this is what he thinks he

1377
01:20:43,040 --> 01:20:45,360
Speaker 1: should be focusing on. I we think about the delusion.

1378
01:20:46,640 --> 01:20:49,320
Speaker 1: The guy who lost his job, and it was a

1379
01:20:49,400 --> 01:20:51,960
Speaker 1: hard thing to for him to get fired from CBS.

1380
01:20:52,040 --> 01:20:55,000
Speaker 1: It wasn't a me too, sexual harassment thing or anything

1381
01:20:55,080 --> 01:20:59,880
Speaker 1: like that. It was for the failure to perform the

1382
01:21:00,160 --> 01:21:05,080
Speaker 1: basic due diligence of a journalist in a presidential election

1383
01:21:05,680 --> 01:21:08,160
Speaker 1: when there could have been very real consequence I mean,

1384
01:21:09,240 --> 01:21:11,720
Speaker 1: it's so funny. We talked about Russia collusion and oh

1385
01:21:11,920 --> 01:21:13,640
Speaker 1: the and and he'll call me, and the email and

1386
01:21:13,640 --> 01:21:18,040
Speaker 1: everything else. You had the very media that now breathlessly

1387
01:21:18,240 --> 01:21:23,800
Speaker 1: reports on all the excuses that he has for why

1388
01:21:23,920 --> 01:21:27,360
Speaker 1: she didn't win the election. That very same media was

1389
01:21:27,439 --> 01:21:32,639
Speaker 1: the one that supported and really coddled and revered based

1390
01:21:32,720 --> 01:21:34,880
Speaker 1: on nothing. I never and I don't think the guy's

1391
01:21:34,920 --> 01:21:38,360
Speaker 1: not gonna be funny. He's not insightful. Uh you know,

1392
01:21:38,600 --> 01:21:42,160
Speaker 1: I don't get it, folks. He's just really really lucky.

1393
01:21:43,800 --> 01:21:48,160
Speaker 1: But that same media tried to throw the election back

1394
01:21:48,360 --> 01:21:52,479
Speaker 1: in two thousand four. That same media figured that they

1395
01:21:52,560 --> 01:21:58,560
Speaker 1: could come up with a way to completely destroy the

1396
01:21:58,800 --> 01:22:03,120
Speaker 1: chances of the Bush administration or destroy the chances of

1397
01:22:03,280 --> 01:22:06,479
Speaker 1: a Bush victory. And now here they're a lecture. Let's

1398
01:22:06,520 --> 01:22:09,400
Speaker 1: look a little more from from condescending Mr Rogers want

1399
01:22:09,439 --> 01:22:12,400
Speaker 1: to be rather here go ahead. Number four. If you

1400
01:22:12,520 --> 01:22:16,599
Speaker 1: find yourself agreeing with everything you use, outlet says you're

1401
01:22:16,640 --> 01:22:21,799
Speaker 1: doing it wrong. If your news doesn't challenge you, challenge

1402
01:22:21,920 --> 01:22:23,840
Speaker 1: your news, all right, pause it for a second. It's

1403
01:22:23,880 --> 01:22:27,680
Speaker 1: a little thing you're doing it wrong. Is a contemporary

1404
01:22:27,760 --> 01:22:30,640
Speaker 1: phrase that I promise you. Dan Rather does not use

1405
01:22:30,720 --> 01:22:34,120
Speaker 1: in his day to day He didn't write this, he

1406
01:22:34,200 --> 01:22:38,320
Speaker 1: didn't write it. No way, you're doing it wrong. That's

1407
01:22:38,400 --> 01:22:41,960
Speaker 1: what a couple of generations below him would say. You

1408
01:22:42,040 --> 01:22:44,479
Speaker 1: know if blah, but blah, you're doing it wrong. You

1409
01:22:44,520 --> 01:22:47,760
Speaker 1: know this is almost it is an internet mean ah.

1410
01:22:48,920 --> 01:22:52,679
Speaker 1: So Dan Rather is now lecturing you on fake news

1411
01:22:52,760 --> 01:22:55,599
Speaker 1: by reading the words that others wrote for him about

1412
01:22:55,680 --> 01:22:59,519
Speaker 1: fake news, and doesn't see the irony in any of this.

1413
01:23:00,680 --> 01:23:02,519
Speaker 1: Really thinks that we need to hear from him on

1414
01:23:02,640 --> 01:23:05,960
Speaker 1: it a little more, a little more. Number five, find

1415
01:23:06,040 --> 01:23:11,439
Speaker 1: a commentator whose politics differ from yours, intellection honest, even

1416
01:23:11,479 --> 01:23:14,320
Speaker 1: though their value is different from yours. If you can't

1417
01:23:14,400 --> 01:23:18,080
Speaker 1: find such a person, maybe the media is not the problem.

1418
01:23:19,200 --> 01:23:23,720
Speaker 1: And number six, remember that what the news tells you

1419
01:23:24,040 --> 01:23:27,679
Speaker 1: is far less important than what they decide to talk

1420
01:23:27,760 --> 01:23:31,439
Speaker 1: about in the first place. If they focus on personal,

1421
01:23:31,960 --> 01:23:36,519
Speaker 1: selacious and speculative stories. Find a new outlet. So he's

1422
01:23:36,560 --> 01:23:39,040
Speaker 1: basically saying that CNN stinks and you shouldn't watch it.

1423
01:23:39,439 --> 01:23:44,000
Speaker 1: So thanks for that, Dan Rather. Uh. I just it's

1424
01:23:44,240 --> 01:23:46,240
Speaker 1: as a guy who got into this business really by

1425
01:23:46,320 --> 01:23:49,280
Speaker 1: accident or kind of fell into it, I find it

1426
01:23:49,439 --> 01:23:53,360
Speaker 1: amazing that you still have these these They don't understand

1427
01:23:53,360 --> 01:23:55,599
Speaker 1: that the game has changed. This is a different world

1428
01:23:55,680 --> 01:24:02,880
Speaker 1: we're living in now, um, and we don't need we

1429
01:24:03,040 --> 01:24:05,160
Speaker 1: we don't need to have Dan Rather lecturing us about

1430
01:24:05,160 --> 01:24:08,000
Speaker 1: the news anymore. We really don't. A guy who tried

1431
01:24:08,080 --> 01:24:10,640
Speaker 1: to throw a presidential election for the Democrat against the

1432
01:24:10,680 --> 01:24:13,720
Speaker 1: Republican does not have to weigh in here. He's very rich.

1433
01:24:13,840 --> 01:24:16,080
Speaker 1: I'm sure there's a lot of beautiful golf courses he

1434
01:24:16,080 --> 01:24:18,120
Speaker 1: should be hanging out on, and I wish him all

1435
01:24:18,160 --> 01:24:19,960
Speaker 1: the best on them. I wish he would just leave

1436
01:24:19,960 --> 01:24:22,720
Speaker 1: the rest of us alone. He wouldn't be able to

1437
01:24:22,760 --> 01:24:25,080
Speaker 1: get to first base in today's media environment. That's just

1438
01:24:25,160 --> 01:24:27,120
Speaker 1: the truth. And I mean if he were thirty years younger,

1439
01:24:27,200 --> 01:24:29,840
Speaker 1: doesn't matter. Alright, we're rolling a quick break. We come back.

1440
01:24:29,920 --> 01:24:33,800
Speaker 1: Zombie raccoons are a real thing. Can you defend yourself

1441
01:24:33,840 --> 01:24:36,120
Speaker 1: against them? I will tell you when we come back. Now,

1442
01:24:36,160 --> 01:24:39,839
Speaker 1: I gotta tell you all about something. It's very serious.

1443
01:24:41,120 --> 01:24:45,759
Speaker 1: There have been sightings in Youngstown, Ohio, according to various

1444
01:24:45,800 --> 01:24:52,120
Speaker 1: news sources, of zombie raccoons. May be seeing yourself. What

1445
01:24:52,320 --> 01:24:55,240
Speaker 1: the heck is a zombie raccoon? Well, according to locals,

1446
01:24:56,040 --> 01:24:58,639
Speaker 1: it is quote raccoons that stand up on hind legs,

1447
01:25:00,040 --> 01:25:04,160
Speaker 1: which raccoons don't usually do, and they show their teeth

1448
01:25:04,600 --> 01:25:07,120
Speaker 1: and then they fall over backwards, and then they go

1449
01:25:07,240 --> 01:25:12,479
Speaker 1: into a comatose condition. End quote. This is quite a thing,

1450
01:25:12,760 --> 01:25:17,479
Speaker 1: my friends. This is happening. Numerous cases of zombie raccoon

1451
01:25:17,600 --> 01:25:22,440
Speaker 1: sightings in Youngstown, Ohio. I'm not sure the raccoon apocalypse

1452
01:25:22,520 --> 01:25:25,439
Speaker 1: is upon us quite yet, but I will tell you

1453
01:25:25,600 --> 01:25:30,640
Speaker 1: that raccoons from a distance look kind of cute. You

1454
01:25:30,720 --> 01:25:32,640
Speaker 1: get up close to them, though, and they are the

1455
01:25:32,680 --> 01:25:35,400
Speaker 1: stuff of nightmares. And in fact, if you've ever seen

1456
01:25:35,439 --> 01:25:37,880
Speaker 1: and don't ask you why, I've seen this, a photo

1457
01:25:37,920 --> 01:25:42,720
Speaker 1: of a completely shaved or furless raccoon, they look like

1458
01:25:43,000 --> 01:25:47,519
Speaker 1: some kind of giant mutant rat sent to destroy us all.

1459
01:25:48,080 --> 01:25:50,640
Speaker 1: So they're actually quite terrifying. I'm gonna tell you right now.

1460
01:25:50,640 --> 01:25:53,760
Speaker 1: It's a little story time with Buck. I had my own,

1461
01:25:55,320 --> 01:25:59,799
Speaker 1: my own encounter some years ago with a zombie raccoon.

1462
01:26:00,120 --> 01:26:04,280
Speaker 1: So I was going out to visit Dom, who was

1463
01:26:04,439 --> 01:26:07,960
Speaker 1: my program director at the Blaze. I was heading out

1464
01:26:08,000 --> 01:26:12,280
Speaker 1: to his house, lovely place. It's really a cabin. In

1465
01:26:12,400 --> 01:26:15,160
Speaker 1: the cabin in the woods, right next to a lake,

1466
01:26:15,840 --> 01:26:17,439
Speaker 1: and we had a great time. We went out a

1467
01:26:17,600 --> 01:26:20,760
Speaker 1: t ving and did all kinds of cool stuff. But

1468
01:26:21,479 --> 01:26:23,479
Speaker 1: it was it was rural, you know, it was a

1469
01:26:23,720 --> 01:26:26,840
Speaker 1: rural area. And I arrived at the at the house,

1470
01:26:26,920 --> 01:26:30,120
Speaker 1: at the cabin, and look, I'm I'm a guy who

1471
01:26:30,120 --> 01:26:31,960
Speaker 1: comes from the city, and I don't want people to think, oh,

1472
01:26:32,080 --> 01:26:34,400
Speaker 1: you know, I can't it can't handle all the scary

1473
01:26:34,520 --> 01:26:38,639
Speaker 1: animals and all. Although maybe that sometimes is how I feel,

1474
01:26:39,000 --> 01:26:41,840
Speaker 1: but you know, I'm I've been on the woods, been

1475
01:26:41,880 --> 01:26:43,559
Speaker 1: out in the desert, been out in war zones. Right,

1476
01:26:43,600 --> 01:26:46,479
Speaker 1: I should be able to handle anything. So I'm trying

1477
01:26:46,520 --> 01:26:48,960
Speaker 1: to be cool. I got a little little backpack on

1478
01:26:49,200 --> 01:26:51,240
Speaker 1: my three day pack, if you will. I'm walking up

1479
01:26:51,240 --> 01:26:56,000
Speaker 1: to the front door, and sure enough, a A and

1480
01:26:56,200 --> 01:26:58,320
Speaker 1: and Dom is being so hospitable. He's one of the

1481
01:26:58,479 --> 01:27:02,679
Speaker 1: nicest guys on the planet, he really is. And he's

1482
01:27:02,800 --> 01:27:06,280
Speaker 1: he brought me into radio years ago, taught me, worked

1483
01:27:06,320 --> 01:27:10,439
Speaker 1: with me, listen to my air checks, you know, gave

1484
01:27:10,479 --> 01:27:13,360
Speaker 1: me pointers in the earliest days of the Buck Sexton Show.

1485
01:27:14,520 --> 01:27:16,799
Speaker 1: The first time out of this house, and I'm so excited,

1486
01:27:16,880 --> 01:27:20,040
Speaker 1: and a black lab it comes running out the door

1487
01:27:20,080 --> 01:27:22,040
Speaker 1: to greet me, and this is I'm like, this is perfect, right,

1488
01:27:22,120 --> 01:27:26,120
Speaker 1: It's this beautiful, uh you know, quiet cabin overlooking the lake.

1489
01:27:26,320 --> 01:27:29,640
Speaker 1: You know, uh, Mrs Doms has come out to say hi.

1490
01:27:30,240 --> 01:27:32,880
Speaker 1: But but first, this black lab comes out. And I

1491
01:27:33,000 --> 01:27:35,120
Speaker 1: love labs. I mean I love all dogs, but labs

1492
01:27:35,160 --> 01:27:37,240
Speaker 1: are in like my top ten. Your labs are a

1493
01:27:37,280 --> 01:27:40,519
Speaker 1: top ten dog for me. You know, I have my favorites.

1494
01:27:40,600 --> 01:27:45,280
Speaker 1: All canines are great for me, but I have my favorites.

1495
01:27:45,439 --> 01:27:47,519
Speaker 1: And so this black lab comes out and we're just

1496
01:27:48,000 --> 01:27:50,240
Speaker 1: rucal to black lab, and I'm you know, rubbing it

1497
01:27:50,320 --> 01:27:52,360
Speaker 1: around the years and you know, or the black lab

1498
01:27:52,479 --> 01:27:55,519
Speaker 1: is show cute and I'm I'm thinking it's gonna be

1499
01:27:55,560 --> 01:27:56,680
Speaker 1: my buddy for the next few days. Then all of

1500
01:27:56,720 --> 01:28:02,400
Speaker 1: a sudden, you know, I mean, a real growl comes

1501
01:28:02,479 --> 01:28:06,720
Speaker 1: out of this black lab, and I can see the

1502
01:28:07,200 --> 01:28:09,000
Speaker 1: fur on the back kind of staying out there, the

1503
01:28:09,040 --> 01:28:12,519
Speaker 1: whole thing, and the whole this dog is now very unhappy.

1504
01:28:13,479 --> 01:28:15,920
Speaker 1: And I turned around and this is broad daylight, folks.

1505
01:28:15,920 --> 01:28:18,519
Speaker 1: I mean it's it's maybe noon. I mean it's as

1506
01:28:18,600 --> 01:28:20,960
Speaker 1: bright and sunny days you can get. And I turned

1507
01:28:20,960 --> 01:28:24,559
Speaker 1: around and out from this wood pile that was right

1508
01:28:24,680 --> 01:28:29,240
Speaker 1: next to the front door. Scurries the scariest looking zombie

1509
01:28:29,360 --> 01:28:33,400
Speaker 1: raccoon I've ever seen. I have never seen this in

1510
01:28:33,439 --> 01:28:35,320
Speaker 1: myfore before in my life. My friends and the guys

1511
01:28:35,360 --> 01:28:37,559
Speaker 1: the students there talking about it went back on its

1512
01:28:37,640 --> 01:28:41,960
Speaker 1: hind legs like a bear, except those little raccoon hind legs.

1513
01:28:42,000 --> 01:28:44,639
Speaker 1: And then you saw it's like nasty, little creepy claw,

1514
01:28:44,760 --> 01:28:47,679
Speaker 1: you know, has these little creepy claw hands and baring

1515
01:28:47,760 --> 01:28:51,519
Speaker 1: its teeth at the dog. And I'm standing there, I'm

1516
01:28:51,560 --> 01:28:53,920
Speaker 1: just like, oh God, I'm thinking doesn't have rabies. And

1517
01:28:53,960 --> 01:28:55,840
Speaker 1: now we've got the black Lab and I'm not gonna lie.

1518
01:28:56,680 --> 01:28:59,000
Speaker 1: The city slicker here did not exactly jump into action.

1519
01:28:59,040 --> 01:29:02,280
Speaker 1: I was just like, oh no, what through it was,

1520
01:29:02,280 --> 01:29:05,040
Speaker 1: everything's kind of slow motion because I got this beloved

1521
01:29:05,120 --> 01:29:08,679
Speaker 1: black Lab facing off against zombie raccoon. First two minutes

1522
01:29:08,720 --> 01:29:11,680
Speaker 1: of my then boss, I'm visiting his house, hanging out

1523
01:29:11,720 --> 01:29:13,960
Speaker 1: with his family, and we we got a we got

1524
01:29:14,040 --> 01:29:16,680
Speaker 1: a zombie raccoon going up against the family pet. This

1525
01:29:16,760 --> 01:29:18,680
Speaker 1: is like an old yellow situation, folks, I mean, this

1526
01:29:18,800 --> 01:29:23,720
Speaker 1: is this is high stakes. It's intense. And then sure

1527
01:29:23,880 --> 01:29:29,360
Speaker 1: enough I stand there frozen and do nothing. Dumb runs

1528
01:29:29,439 --> 01:29:32,519
Speaker 1: into you know, God, God blessed Michigan, uh, you know,

1529
01:29:32,680 --> 01:29:36,400
Speaker 1: runs into his house. He is a a lawful second

1530
01:29:36,439 --> 01:29:40,760
Speaker 1: Amendment second Amendment proponent of the United States. And sure

1531
01:29:40,840 --> 01:29:43,479
Speaker 1: enough he had a I forget what it was. I

1532
01:29:43,640 --> 01:29:46,360
Speaker 1: think it was. I think he pulled out a thirty eight.

1533
01:29:47,200 --> 01:29:49,840
Speaker 1: And he comes out, and then about this all happened

1534
01:29:49,880 --> 01:29:52,479
Speaker 1: to span of about ten seconds. He just comes out

1535
01:29:52,560 --> 01:29:55,880
Speaker 1: and the zombie raccoon is on its back legs, it's

1536
01:29:55,880 --> 01:29:58,000
Speaker 1: a little claws and everything. And I'm standing there. I'm like,

1537
01:29:58,920 --> 01:30:01,200
Speaker 1: and the dog is or and they're about to square off,

1538
01:30:01,320 --> 01:30:04,200
Speaker 1: and tob comes out and just boom boom boom. And

1539
01:30:04,280 --> 01:30:08,360
Speaker 1: I mean that raccoon, zombie raccoon, not much left. I

1540
01:30:08,400 --> 01:30:10,960
Speaker 1: couldn't even make a hat out of it. It's just done.

1541
01:30:11,040 --> 01:30:14,160
Speaker 1: So so I just want to tell you about that

1542
01:30:14,360 --> 01:30:17,320
Speaker 1: because it's really a public safety announcement. If in fact,

1543
01:30:17,400 --> 01:30:21,120
Speaker 1: you see a zombie raccoon where you are, do not approach,

1544
01:30:21,720 --> 01:30:26,880
Speaker 1: do not let Fido or Muffie the poodle go anywhere

1545
01:30:26,920 --> 01:30:30,840
Speaker 1: near it. Get yourself to the nearest location where you

1546
01:30:30,920 --> 01:30:34,800
Speaker 1: have a firearm, or or however you prefer to deal

1547
01:30:34,880 --> 01:30:36,599
Speaker 1: with raccoons, and some of you are probably like, I'll

1548
01:30:36,680 --> 01:30:38,880
Speaker 1: use a bow whatever, bow and arrow works too, whatever

1549
01:30:38,920 --> 01:30:43,880
Speaker 1: you got and handle the situation appropriately in a manner

1550
01:30:43,960 --> 01:30:48,920
Speaker 1: worthy of the Walking Dead. Zombie raccoon was toast. I

1551
01:30:48,960 --> 01:30:50,759
Speaker 1: felt like it was important to share that story because

1552
01:30:51,000 --> 01:30:53,519
Speaker 1: this is a this is happening in Youngstown, Ohio. People.

1553
01:30:53,680 --> 01:30:55,240
Speaker 1: They think for those of you who are wondering, like,

1554
01:30:55,400 --> 01:30:58,479
Speaker 1: why is Buck telling you this crazy story, they don't

1555
01:30:58,520 --> 01:31:01,519
Speaker 1: believe that it's rabies um. They think that it actually

1556
01:31:01,560 --> 01:31:07,400
Speaker 1: comes from a disease called distemper, which can affect raccoons.

1557
01:31:07,479 --> 01:31:10,280
Speaker 1: It's not contagious to humans, though, but it can make

1558
01:31:10,400 --> 01:31:13,479
Speaker 1: them do crazy things and the Brandon spinal quarter affected.

1559
01:31:13,600 --> 01:31:18,320
Speaker 1: So maybe there's a scientific reason for this, or they're

1560
01:31:18,360 --> 01:31:22,360
Speaker 1: just zombie raccoons. Folks, be on the lookout. You never

1561
01:31:22,479 --> 01:31:24,960
Speaker 1: know when one of them is gonna come flying out

1562
01:31:24,960 --> 01:31:26,880
Speaker 1: of the woodpile when you're trying to impress the boss

1563
01:31:27,000 --> 01:31:30,320
Speaker 1: and his wife for a weekend away. And with that,

1564
01:31:31,120 --> 01:31:34,320
Speaker 1: I'm going to go into a break. I'll be right back. Brothers,

1565
01:31:34,439 --> 01:31:38,680
Speaker 1: don't shake hands, Brothers gotta hug. I don't know how

1566
01:31:38,720 --> 01:31:41,559
Speaker 1: many of you know this, and uh, I definitely don't

1567
01:31:41,600 --> 01:31:45,439
Speaker 1: know how many of you care. I'm guessing not very many.

1568
01:31:46,080 --> 01:31:52,320
Speaker 1: But today today is in fact National Hug a news

1569
01:31:52,400 --> 01:31:56,719
Speaker 1: Person Day. That's right, every April four, it is National

1570
01:31:56,880 --> 01:31:59,960
Speaker 1: Hugging news Person Day. It was formerly National Hugging new

1571
01:32:00,000 --> 01:32:04,040
Speaker 1: news Man Day. And this gives people the opportunity to

1572
01:32:04,200 --> 01:32:09,360
Speaker 1: say thank you and hug their local news person. Uh So,

1573
01:32:10,600 --> 01:32:13,439
Speaker 1: the way you're supposed to this is so dumb. I know.

1574
01:32:13,840 --> 01:32:17,120
Speaker 1: The way you're supposed to observe this is if you

1575
01:32:17,360 --> 01:32:20,400
Speaker 1: aren't able to hug your news person, you can send

1576
01:32:20,439 --> 01:32:25,040
Speaker 1: them a virtual one. Use hashtag hug a news person

1577
01:32:25,200 --> 01:32:27,680
Speaker 1: data post on social media. So those of you who

1578
01:32:27,760 --> 01:32:32,120
Speaker 1: feel like I don't know, maybe you have maybe you

1579
01:32:32,200 --> 01:32:36,439
Speaker 1: have a favorite news person who does radio every night

1580
01:32:37,360 --> 01:32:40,920
Speaker 1: for Premier Networks from six to nine Eastern uh and

1581
01:32:41,080 --> 01:32:45,000
Speaker 1: has a really widely downloaded podcast that you think is great.

1582
01:32:45,080 --> 01:32:47,799
Speaker 1: And I mean, maybe there's somebody who fits that description

1583
01:32:47,960 --> 01:32:50,840
Speaker 1: and you want to send them a virtual hug with

1584
01:32:51,160 --> 01:32:54,720
Speaker 1: hashtag hug a news person. This is the This is

1585
01:32:54,760 --> 01:32:57,320
Speaker 1: like the lamest call out I think I've ever done.

1586
01:32:57,360 --> 01:32:59,759
Speaker 1: All this show. I think it's really funny, it's ridiculous.

1587
01:32:59,760 --> 01:33:01,800
Speaker 1: You don't have to do it. I'm just kidding. I

1588
01:33:01,880 --> 01:33:07,679
Speaker 1: swear mostly, but I'd also say that we've we've entured

1589
01:33:07,720 --> 01:33:10,040
Speaker 1: in an era now where I don't know if I'm

1590
01:33:10,080 --> 01:33:13,240
Speaker 1: allowed to hug colleagues because of all the stuff that's

1591
01:33:13,280 --> 01:33:15,680
Speaker 1: happened in the last year, I now am in this

1592
01:33:15,800 --> 01:33:19,880
Speaker 1: awkward position of uh, I ask for permission. I asked

1593
01:33:19,920 --> 01:33:22,479
Speaker 1: for permission to hug. People can hug me, I don't care.

1594
01:33:22,520 --> 01:33:24,240
Speaker 1: I mean pretty much anyone, a stranger on the street

1595
01:33:24,280 --> 01:33:26,719
Speaker 1: could hug me. It doesn't bother me. But I asked

1596
01:33:26,760 --> 01:33:28,760
Speaker 1: for permission before I hug even people that I know

1597
01:33:28,920 --> 01:33:32,479
Speaker 1: really well. So maybe you get kind of a pass

1598
01:33:32,640 --> 01:33:37,559
Speaker 1: on national hug a newsperson day. I wouldn't I wouldn't

1599
01:33:37,560 --> 01:33:40,439
Speaker 1: necessarily bet on that. But we have reached a period

1600
01:33:40,520 --> 01:33:43,719
Speaker 1: now where, oh, even when I do a live event

1601
01:33:43,880 --> 01:33:47,439
Speaker 1: somewhere like I did recently out in Indiana. When I

1602
01:33:47,520 --> 01:33:49,280
Speaker 1: do a live event, you know how you take a

1603
01:33:49,320 --> 01:33:51,320
Speaker 1: photo of somebody, usually want to do the like hand

1604
01:33:51,400 --> 01:33:54,320
Speaker 1: on the back, you know, because you're you're presenting a

1605
01:33:54,840 --> 01:34:00,400
Speaker 1: friendly a friendly picture, and I male, female, doesn't matter.

1606
01:34:00,479 --> 01:34:02,240
Speaker 1: I gotta you know, is it okay if I put

1607
01:34:02,280 --> 01:34:04,200
Speaker 1: my hand on your back? And sometimes even just do

1608
01:34:04,320 --> 01:34:08,880
Speaker 1: the hand that is raised that looks like my hands

1609
01:34:08,920 --> 01:34:11,080
Speaker 1: on the person's back, but I actually don't touch them

1610
01:34:11,920 --> 01:34:14,640
Speaker 1: because I feel like that's okay. But the whole thing

1611
01:34:14,800 --> 01:34:17,040
Speaker 1: is just so weird. You know. You look at other cultures,

1612
01:34:17,479 --> 01:34:19,760
Speaker 1: they do the whole kiss on the cheek thing. Some

1613
01:34:19,920 --> 01:34:22,439
Speaker 1: of you that you know what I'm talking about. In uh,

1614
01:34:22,840 --> 01:34:26,360
Speaker 1: you know, some Middle Eastern countries and European countries, you

1615
01:34:26,479 --> 01:34:30,800
Speaker 1: get guys kiss each other on both cheeks and there's

1616
01:34:30,840 --> 01:34:34,479
Speaker 1: all kinds of stuff going on there. Um, so you know,

1617
01:34:34,560 --> 01:34:38,200
Speaker 1: in terms of hugging, and of course there's well I'm

1618
01:34:38,280 --> 01:34:41,000
Speaker 1: just saying the hug stuff has gotten weird. The hug

1619
01:34:41,120 --> 01:34:43,560
Speaker 1: stuff has gotten weird. And now I don't really know,

1620
01:34:43,760 --> 01:34:46,840
Speaker 1: but huggy is important everyone, you know. So how about

1621
01:34:46,840 --> 01:34:50,080
Speaker 1: this instead of do hashtag hug your favorite newsperson day,

1622
01:34:51,000 --> 01:34:53,080
Speaker 1: which you can do if you want, because some other

1623
01:34:53,120 --> 01:34:54,639
Speaker 1: people that I know in the business, they had their

1624
01:34:54,720 --> 01:34:58,519
Speaker 1: followers and listeners and such on social media. Give them

1625
01:34:58,680 --> 01:35:02,400
Speaker 1: hashtag hugs anyway, But give a hug to somebody who

1626
01:35:02,400 --> 01:35:05,040
Speaker 1: actually means a lot to you, you know, not just

1627
01:35:05,240 --> 01:35:07,080
Speaker 1: in the in the sense of entertaining you. I mean,

1628
01:35:07,360 --> 01:35:09,080
Speaker 1: give a hug to somebody that you really love in

1629
01:35:09,200 --> 01:35:11,920
Speaker 1: your life. How about that? So go give someone a

1630
01:35:12,000 --> 01:35:14,800
Speaker 1: big hug. We call it freedom hut hug day. Go

1631
01:35:15,120 --> 01:35:17,080
Speaker 1: go hug someone really matters to you, a big one.

1632
01:35:17,680 --> 01:35:20,920
Speaker 1: You're you got orders team. Find someone that matters to

1633
01:35:20,960 --> 01:35:23,280
Speaker 1: you right now or right when the show's over. Don't

1634
01:35:23,280 --> 01:35:26,439
Speaker 1: don't stop listening and give him a big hug. All right,

1635
01:35:26,479 --> 01:35:35,400
Speaker 1: we'll be right back. Show ain't over yet, folks. It's

1636
01:35:35,520 --> 01:35:40,320
Speaker 1: time for roll call rock and roll. You can't see it,

1637
01:35:40,360 --> 01:35:43,240
Speaker 1: but I'm doing crazy air guitar in here, all right.

1638
01:35:43,360 --> 01:35:47,320
Speaker 1: First up with a roll call. Here we have uh Lauren,

1639
01:35:47,720 --> 01:35:50,519
Speaker 1: who writes, I love that movie. That's in response to

1640
01:35:50,600 --> 01:35:53,720
Speaker 1: me saying, did you catch my movie reference when I

1641
01:35:53,760 --> 01:35:56,200
Speaker 1: said savor the flavor because it won't happen again? A

1642
01:35:56,280 --> 01:36:00,240
Speaker 1: Tommy Boy reference. She now responded Lauren on face book,

1643
01:36:00,720 --> 01:36:02,600
Speaker 1: I'm embarrassed to say that I had to google the

1644
01:36:02,640 --> 01:36:05,679
Speaker 1: Tommy Boy quote, and even worse, I've never even seen

1645
01:36:05,800 --> 01:36:09,719
Speaker 1: Tommy Boy. I'll remedy that soon, Lauren. You have homework,

1646
01:36:09,920 --> 01:36:13,519
Speaker 1: all right. You need to see some Tommy Boy. It

1647
01:36:13,680 --> 01:36:16,160
Speaker 1: is a fantastic and fun film. I think it's Chris

1648
01:36:16,280 --> 01:36:21,040
Speaker 1: Farley's best movie, so you should take my word for

1649
01:36:21,120 --> 01:36:23,120
Speaker 1: it and check it out. I've got such a long

1650
01:36:23,240 --> 01:36:25,960
Speaker 1: list now of all I gotta watch, chap Atquittic, Last

1651
01:36:26,000 --> 01:36:29,160
Speaker 1: Man Standing, Home Improvement, I got all these things now

1652
01:36:29,160 --> 01:36:31,479
Speaker 1: I gotta watch and Ms. Molly is always like, you know,

1653
01:36:32,040 --> 01:36:34,400
Speaker 1: we we could also just do activities outside. I'm like,

1654
01:36:34,439 --> 01:36:36,760
Speaker 1: you know, honey, You're right. I don't just have to

1655
01:36:36,800 --> 01:36:39,840
Speaker 1: watch things and read things and do media all the time.

1656
01:36:40,520 --> 01:36:43,640
Speaker 1: Must have a life, must figure out my life. I mean,

1657
01:36:43,680 --> 01:36:46,719
Speaker 1: I don't want to become one of these weird media

1658
01:36:46,840 --> 01:36:50,960
Speaker 1: robot types. Next up, we got Phil who writes buck

1659
01:36:51,240 --> 01:36:53,760
Speaker 1: Love the show I'm catching up on Monday's podcast, and

1660
01:36:53,840 --> 01:36:56,400
Speaker 1: you mentioned during your discussion of McKinley he was the

1661
01:36:56,439 --> 01:36:59,240
Speaker 1: only president from the Great State of Ohio. As a

1662
01:36:59,360 --> 01:37:01,679
Speaker 1: native of the Great State of Ohio, I take umbradge

1663
01:37:01,720 --> 01:37:05,599
Speaker 1: with that Ohio is actually tied with Virginia of states

1664
01:37:05,640 --> 01:37:09,200
Speaker 1: with the most presidents at eight. William Henry Harrison ninth,

1665
01:37:09,280 --> 01:37:14,639
Speaker 1: President Ulysses S. Grant eighteen, Rutherford Behayes nineteen, James Garfield twenty,

1666
01:37:15,120 --> 01:37:18,960
Speaker 1: Benjamin Harrison twenty three, William McKinley twenty five, William Taft,

1667
01:37:19,680 --> 01:37:23,360
Speaker 1: William Hardy. Sorry we're in Harding twenty nine. Just the

1668
01:37:23,439 --> 01:37:25,920
Speaker 1: general bucks Lap. Keep up the great work, Phil You're

1669
01:37:25,960 --> 01:37:29,240
Speaker 1: totally right. I was totally wrong. I can't remember. So

1670
01:37:29,479 --> 01:37:31,439
Speaker 1: here's why that was stuck in my head. When they

1671
01:37:32,080 --> 01:37:37,519
Speaker 1: renamed Mount McKinley Denali officially under President Obama. You you

1672
01:37:37,520 --> 01:37:41,920
Speaker 1: will recall that happened. Uh, there was Ohio was was

1673
01:37:42,040 --> 01:37:45,080
Speaker 1: upset about it, and I can't And I thought it

1674
01:37:45,120 --> 01:37:49,639
Speaker 1: was because McKinley was the only something and from having

1675
01:37:49,680 --> 01:37:51,320
Speaker 1: to do with Ohio. And now I can't remember what

1676
01:37:51,439 --> 01:37:54,720
Speaker 1: the statistic or what the factoid was. Clearly though, I

1677
01:37:54,880 --> 01:37:59,479
Speaker 1: stand thoroughly buck slapped, and you are in fact correct.

1678
01:38:00,040 --> 01:38:03,080
Speaker 1: Eight presidents tied to Ohio. And I would note that, Philly,

1679
01:38:03,080 --> 01:38:04,880
Speaker 1: you weren't the only one. I got lit up on this.

1680
01:38:05,280 --> 01:38:07,280
Speaker 1: But you know what, I liked that all of you

1681
01:38:07,360 --> 01:38:10,600
Speaker 1: actually listen and you pay attention, and you call me

1682
01:38:10,680 --> 01:38:15,720
Speaker 1: out when I make a mistake. So definitely, I I

1683
01:38:15,800 --> 01:38:18,720
Speaker 1: can't pass the buck on that one. I I got caught.

1684
01:38:18,840 --> 01:38:22,400
Speaker 1: I got caught up and I stand corrected. Uh. Next up,

1685
01:38:22,560 --> 01:38:26,080
Speaker 1: will writes, tell Bill Hammer his hairs out of place. Oh,

1686
01:38:26,160 --> 01:38:30,479
Speaker 1: that must have been during my hit today on Fox News.

1687
01:38:31,080 --> 01:38:34,960
Speaker 1: Hammer is one of the greats. He's a really talented broadcaster,

1688
01:38:35,120 --> 01:38:39,679
Speaker 1: a super nice guy, and very very skilled on camera.

1689
01:38:39,800 --> 01:38:42,160
Speaker 1: I know people watch some of the news shows they think, well,

1690
01:38:42,240 --> 01:38:44,200
Speaker 1: you know, how hard, how hard can this be? To

1691
01:38:44,320 --> 01:38:46,960
Speaker 1: be good at It is actually really hard. Anyone can

1692
01:38:47,040 --> 01:38:50,120
Speaker 1: do it. But it's kind of like soccer. Well maybe

1693
01:38:50,160 --> 01:38:52,280
Speaker 1: this's a bad Now you're like, Buck, you're a communist.

1694
01:38:52,280 --> 01:38:56,240
Speaker 1: Why are you talking about soccer or in Europe football? Uh,

1695
01:38:56,720 --> 01:38:58,920
Speaker 1: but soccer is a simple game made hard by the

1696
01:38:58,960 --> 01:39:01,160
Speaker 1: people playing it. Alright, to kick a ball and to

1697
01:39:01,280 --> 01:39:04,000
Speaker 1: kick it into a big net not hard. It's just

1698
01:39:04,080 --> 01:39:06,360
Speaker 1: the other folks around you and all the other things

1699
01:39:06,439 --> 01:39:08,640
Speaker 1: that get added into it make it hard anything. It's

1700
01:39:08,640 --> 01:39:11,320
Speaker 1: true at TV. Anyone can speak into a camera on TV,

1701
01:39:11,960 --> 01:39:14,800
Speaker 1: especially if they're reading some stuff off the prompter, but

1702
01:39:14,920 --> 01:39:16,679
Speaker 1: to do it well, to do it better than other people,

1703
01:39:16,760 --> 01:39:21,880
Speaker 1: becomes very difficult. Next up here we have Mike, who writes, Hey, Buck,

1704
01:39:22,439 --> 01:39:25,759
Speaker 1: great show. I'm always a day late when listening, curious

1705
01:39:25,840 --> 01:39:28,439
Speaker 1: what the reality of using the military defend our borders is.

1706
01:39:28,840 --> 01:39:30,720
Speaker 1: I find it funny to hear people say we need

1707
01:39:30,800 --> 01:39:33,479
Speaker 1: to bring our military back home to defend our country.

1708
01:39:33,920 --> 01:39:36,640
Speaker 1: But we'll freak out when the talk of preventing this

1709
01:39:36,840 --> 01:39:40,400
Speaker 1: convoy of entering our country happens. As they are sitting

1710
01:39:40,479 --> 01:39:42,639
Speaker 1: on and defending a lot of borders of other countries.

1711
01:39:43,120 --> 01:39:45,559
Speaker 1: But the thought of using to protect our own borders

1712
01:39:46,479 --> 01:39:49,760
Speaker 1: makes progressives lose their minds. Look, Mike, I think you're

1713
01:39:50,040 --> 01:39:52,960
Speaker 1: raising a very good point here. It's the national guard

1714
01:39:53,040 --> 01:39:56,280
Speaker 1: for this nation, not for other nations. Why wouldn't we

1715
01:39:56,600 --> 01:40:01,440
Speaker 1: defend our borders? Isn't it interesting to note how successful

1716
01:40:01,479 --> 01:40:06,200
Speaker 1: and widespread the propaganda has been that we are now

1717
01:40:06,280 --> 01:40:11,519
Speaker 1: in a situation where the notion of defending borders at all,

1718
01:40:11,760 --> 01:40:14,760
Speaker 1: and I just mean enforcing borders is tied in with

1719
01:40:14,880 --> 01:40:20,160
Speaker 1: thoughts of racism, xenophobia, fear of foreigners, all this stuff.

1720
01:40:20,680 --> 01:40:24,679
Speaker 1: When every other country in the world defends its borders,

1721
01:40:24,760 --> 01:40:28,120
Speaker 1: maintains its borders, has laws about who comes and who goes,

1722
01:40:28,880 --> 01:40:30,960
Speaker 1: it is true. I know people try to dismiss it

1723
01:40:31,040 --> 01:40:33,519
Speaker 1: as some kind of talking point, But if you don't

1724
01:40:33,560 --> 01:40:36,440
Speaker 1: have borders, you don't have a country. Is that straightforward?

1725
01:40:37,640 --> 01:40:40,840
Speaker 1: Next up, we've got Kevin who whoa quite a note

1726
01:40:40,880 --> 01:40:42,960
Speaker 1: here from Kevin Buck. I catched the show every morning

1727
01:40:43,040 --> 01:40:46,479
Speaker 1: via podcast. On Tuesday, you mentioned there's a high percentage

1728
01:40:46,479 --> 01:40:50,720
Speaker 1: of Americans who, uh I haven't read a book in

1729
01:40:50,760 --> 01:40:53,720
Speaker 1: the last year. This hit me for some reason as

1730
01:40:53,720 --> 01:40:58,080
Speaker 1: another division of the population. Am I being too sensitive? Maybe?

1731
01:40:58,200 --> 01:41:00,519
Speaker 1: But here's a short rundown explanation of why I may

1732
01:41:00,600 --> 01:41:05,200
Speaker 1: fall in this category. Household minimum since I was twenty

1733
01:41:05,280 --> 01:41:08,200
Speaker 1: seven of two children, two adults, three children, one dog,

1734
01:41:08,320 --> 01:41:12,400
Speaker 1: one cat. Today six adults, two grandchildren, three dogs, two cats,

1735
01:41:12,439 --> 01:41:15,920
Speaker 1: and one hamster. Occupation, fifty five year old truck driver

1736
01:41:16,600 --> 01:41:19,639
Speaker 1: and thirty seven years four plus million miles. The current

1737
01:41:19,680 --> 01:41:22,519
Speaker 1: schedule up at oh three fifty back at the house

1738
01:41:22,560 --> 01:41:26,559
Speaker 1: at seventeen thirty ish. Chores, chores, chores, lots of stuff. Point,

1739
01:41:26,640 --> 01:41:30,240
Speaker 1: I'm not unique. Most Americans are busy. I do read,

1740
01:41:30,320 --> 01:41:33,880
Speaker 1: as you mentioned, articles, news, etcetera, and audio books. I

1741
01:41:34,000 --> 01:41:36,519
Speaker 1: do read Bible versus daily. I do read the Heritage

1742
01:41:36,560 --> 01:41:39,559
Speaker 1: Guide to the Constitution. I do have ten books I'll

1743
01:41:39,600 --> 01:41:42,760
Speaker 1: eventually get to but lately no love your show and

1744
01:41:42,800 --> 01:41:46,160
Speaker 1: Shields hies amazing. Keep it up, Kevin. Ps. I have

1745
01:41:46,200 --> 01:41:49,040
Speaker 1: a granddaughter named Molly. Well Kevin, that's great and Ms

1746
01:41:49,120 --> 01:41:50,679
Speaker 1: Monley will get a kick out of that, so thank

1747
01:41:50,720 --> 01:41:53,920
Speaker 1: you and Kevin, I hear you. I admitted this yesterday

1748
01:41:54,000 --> 01:41:56,240
Speaker 1: on the show. I've gone through periods where I realized

1749
01:41:56,320 --> 01:41:59,360
Speaker 1: I haven't read a book in a while. Yeah. For me, though,

1750
01:41:59,400 --> 01:42:01,680
Speaker 1: it's kind of like the gym, you know, or or

1751
01:42:02,040 --> 01:42:04,479
Speaker 1: when I say the gym, whatever your activity, your physical

1752
01:42:04,520 --> 01:42:07,560
Speaker 1: activity is, and I've gone through periods or I'm just

1753
01:42:07,800 --> 01:42:11,560
Speaker 1: begging to get pre Dad Dad bond, right, I'm just

1754
01:42:12,240 --> 01:42:15,080
Speaker 1: I'm scarf and chocolate left, and that's really chocolate and

1755
01:42:15,120 --> 01:42:17,120
Speaker 1: French fries. I always say my weakness. I mean, if

1756
01:42:17,120 --> 01:42:20,360
Speaker 1: if anyone ever comes up with French fries dipped in chocolate,

1757
01:42:20,400 --> 01:42:22,040
Speaker 1: I'm gonna I'm gonna end up having a heart attack

1758
01:42:22,120 --> 01:42:24,680
Speaker 1: in a couple of weeks. So you know, I've gone

1759
01:42:24,680 --> 01:42:26,640
Speaker 1: through periods where I've I've been injured, I've been too

1760
01:42:26,720 --> 01:42:29,000
Speaker 1: tired of been too stressed. I've you know, gotten a

1761
01:42:29,000 --> 01:42:32,680
Speaker 1: little unhealthy, and you just you fight back and you

1762
01:42:32,760 --> 01:42:34,519
Speaker 1: do what you can to get back in a good rhythm.

1763
01:42:34,560 --> 01:42:36,439
Speaker 1: The same thing is true reading, and you should really

1764
01:42:36,479 --> 01:42:38,320
Speaker 1: think of it that way. You know, it's not oh,

1765
01:42:38,360 --> 01:42:40,040
Speaker 1: I haven't read a book in last year. That says

1766
01:42:40,080 --> 01:42:41,920
Speaker 1: something about me. As you point out Kevin. It just

1767
01:42:42,000 --> 01:42:44,640
Speaker 1: says you're busy. I get that. I'm just trying to

1768
01:42:44,760 --> 01:42:48,320
Speaker 1: encourage myself and everyone listening to the show. Have a

1769
01:42:48,439 --> 01:42:51,320
Speaker 1: book that you are reading. Don't worry about how quickly

1770
01:42:51,320 --> 01:42:53,559
Speaker 1: you're going through it. Read two or three pages at

1771
01:42:53,600 --> 01:42:56,040
Speaker 1: a time. But keep it on your keep it within

1772
01:42:56,160 --> 01:42:58,920
Speaker 1: reach of your favorite chair, keep it next to your

1773
01:42:58,960 --> 01:43:00,240
Speaker 1: bed if you're like me and you like to read

1774
01:43:00,240 --> 01:43:02,600
Speaker 1: at night before you go to sleep, or just have

1775
01:43:02,760 --> 01:43:05,479
Speaker 1: it out on the coffee table. Not a coffee table book, right,

1776
01:43:05,560 --> 01:43:09,360
Speaker 1: not you know, paintings from seventeenth century France. No, like

1777
01:43:09,439 --> 01:43:11,000
Speaker 1: a book you're actually like, I want to read it.

1778
01:43:11,640 --> 01:43:14,120
Speaker 1: You know. Maybe it's, uh, maybe it's the latest brad

1779
01:43:14,200 --> 01:43:16,559
Speaker 1: Thor novel, or maybe you picked up my friend Sean

1780
01:43:16,640 --> 01:43:21,120
Speaker 1: Parnell's novel that that's just come out now. Um, I

1781
01:43:21,360 --> 01:43:25,639
Speaker 1: just finished Outlaw Platoon recently and it's a phenomenal book.

1782
01:43:25,680 --> 01:43:27,240
Speaker 1: And Shawn such a great dude, and as you know,

1783
01:43:27,320 --> 01:43:28,880
Speaker 1: we have him here on the show whenever we can.

1784
01:43:29,720 --> 01:43:32,120
Speaker 1: But whatever it is, you know, if it's the great

1785
01:43:32,160 --> 01:43:36,160
Speaker 1: big book of the history of of knitting, you know,

1786
01:43:36,320 --> 01:43:39,720
Speaker 1: knitting is cool. Everyone needs sweaters, right, you do? You?

1787
01:43:39,920 --> 01:43:43,920
Speaker 1: Whatever it is, just make time to read. Make it

1788
01:43:44,000 --> 01:43:46,719
Speaker 1: a habit. It's reading is a habit, just like health

1789
01:43:46,800 --> 01:43:49,519
Speaker 1: and fitness. It's a habit. And just because you're busy

1790
01:43:49,600 --> 01:43:51,519
Speaker 1: for a while and you've fallen out of it, doesn't

1791
01:43:51,560 --> 01:43:54,080
Speaker 1: mean you don't go back to it. Right, So I

1792
01:43:54,200 --> 01:43:57,120
Speaker 1: think that's important. And as I say this, I'm going, yeah, Buck,

1793
01:43:57,200 --> 01:43:59,800
Speaker 1: you know what was? Although, actually, if I've been on

1794
01:43:59,880 --> 01:44:02,599
Speaker 1: a good tear recently, um and when I first started

1795
01:44:02,640 --> 01:44:06,120
Speaker 1: the media business, I was reading stacks and stacks. Now

1796
01:44:06,240 --> 01:44:08,760
Speaker 1: I spend more time preparing for the day to day

1797
01:44:08,800 --> 01:44:10,920
Speaker 1: of my shows, but I want to make sure that

1798
01:44:10,960 --> 01:44:14,000
Speaker 1: I'm getting enough time to read. And it's something I'm

1799
01:44:14,040 --> 01:44:17,880
Speaker 1: gonna work on. Next up here, Sarah rights, Hey, Buck,

1800
01:44:17,960 --> 01:44:20,360
Speaker 1: I would like to see some more or if you

1801
01:44:20,439 --> 01:44:22,760
Speaker 1: would like to see some more a flyover Country, come

1802
01:44:22,840 --> 01:44:27,400
Speaker 1: check out the Memphis Bell on display at the US

1803
01:44:27,479 --> 01:44:32,520
Speaker 1: Air Force Museum in Dayton, Ohio. She debuts on Maen.

1804
01:44:33,160 --> 01:44:35,200
Speaker 1: I took two days off to be at the museum

1805
01:44:35,240 --> 01:44:37,000
Speaker 1: for all the events. Well, Sarah, thank you for the

1806
01:44:37,040 --> 01:44:39,720
Speaker 1: heads up, and that's really cool. I didn't know that

1807
01:44:40,040 --> 01:44:41,800
Speaker 1: that was a thing that was happening. So it turns

1808
01:44:41,840 --> 01:44:44,040
Speaker 1: out Memphis Bell which for those of you who haven't

1809
01:44:44,080 --> 01:44:46,320
Speaker 1: seen it, it's just a really good World War two movie,

1810
01:44:46,520 --> 01:44:49,439
Speaker 1: you know, no agenda, no nothing, just showing you the

1811
01:44:49,760 --> 01:44:53,200
Speaker 1: reality of aerial combat and a B seventeen bomber at

1812
01:44:53,240 --> 01:44:56,200
Speaker 1: the time. So but thank you, Sarah. I would love

1813
01:44:56,280 --> 01:44:58,479
Speaker 1: to get out to Ohio. I was. I swear I'm

1814
01:44:58,520 --> 01:45:03,439
Speaker 1: not just making this up. I uh just yesterday had

1815
01:45:03,520 --> 01:45:06,280
Speaker 1: launch with a friend who's Ohio base and he was saying,

1816
01:45:06,280 --> 01:45:07,880
Speaker 1: you gotta come out and see us, and I said, oh,

1817
01:45:07,880 --> 01:45:10,320
Speaker 1: I'll come visit some of the affiliates, and it is

1818
01:45:10,520 --> 01:45:14,880
Speaker 1: absolutely on my list. Uh we got Joe up next year.

1819
01:45:14,920 --> 01:45:17,679
Speaker 1: I was listening to your to your podcast from four

1820
01:45:18,000 --> 01:45:20,920
Speaker 1: three and you were talking about allowing yourself time for

1821
01:45:21,000 --> 01:45:24,000
Speaker 1: a novel. I hear you man have a kid, Not

1822
01:45:24,200 --> 01:45:27,280
Speaker 1: to be a jerk, more of a romantic comedy comment.

1823
01:45:27,720 --> 01:45:31,519
Speaker 1: Those are probably the adults who are shoveling food on

1824
01:45:31,640 --> 01:45:35,120
Speaker 1: their kids tummies. Huh. I love the show. I work

1825
01:45:35,160 --> 01:45:37,240
Speaker 1: from home and have office time in the evenings where

1826
01:45:37,240 --> 01:45:39,080
Speaker 1: I look forward to my time with Buck. Thanks Buddy,

1827
01:45:39,120 --> 01:45:43,439
Speaker 1: Shields high Joe, Oh, thank you Joe, and uh yeah, look,

1828
01:45:43,600 --> 01:45:45,920
Speaker 1: make time make time for a novel. If I could

1829
01:45:46,680 --> 01:45:50,400
Speaker 1: some unsolicited, but I think pretty good advice. Always have

1830
01:45:50,920 --> 01:45:53,760
Speaker 1: not a fiction book and a nonfiction book that are

1831
01:45:53,840 --> 01:45:56,160
Speaker 1: in your orbit. I'm not saying you gotta read one

1832
01:45:56,160 --> 01:45:58,080
Speaker 1: a week. I'm not saying you gotta read one a month.

1833
01:45:58,680 --> 01:46:00,920
Speaker 1: Have a fiction book, have a non action book. And

1834
01:46:01,000 --> 01:46:04,040
Speaker 1: when every whenever you have a thought in your mind,

1835
01:46:04,720 --> 01:46:06,280
Speaker 1: what am I gonna do with my time right now?

1836
01:46:06,439 --> 01:46:09,519
Speaker 1: Or you know I'm a little bored, read you never

1837
01:46:09,800 --> 01:46:14,320
Speaker 1: you never be bored. Read Next, up here we have Steven,

1838
01:46:14,360 --> 01:46:17,800
Speaker 1: who writes listening to yesterday's podcast, you definitely should see

1839
01:46:17,920 --> 01:46:21,400
Speaker 1: Last Man Standing. Well, thank you, Steve. I'm on it,

1840
01:46:21,760 --> 01:46:25,519
Speaker 1: looking forward to it, and I will do it. Uh.

1841
01:46:25,680 --> 01:46:28,880
Speaker 1: Mike writes, I can't get through on the phone ever,

1842
01:46:28,960 --> 01:46:31,800
Speaker 1: You're so popular. It's weird, though I can get through

1843
01:46:31,840 --> 01:46:37,400
Speaker 1: to Rush and Beck and kill Mead. You're my favorite though. Well, Mike,

1844
01:46:37,600 --> 01:46:40,120
Speaker 1: you're the man do Thank you so much. That's very

1845
01:46:40,240 --> 01:46:43,600
Speaker 1: kind of you. I'm in very rarefied company there with

1846
01:46:43,720 --> 01:46:46,400
Speaker 1: the great Rush and Beck and Uh and Mr kill

1847
01:46:46,439 --> 01:46:48,880
Speaker 1: Mead and you wrote also another great show. We love

1848
01:46:48,960 --> 01:46:51,360
Speaker 1: you in North Carolina. Well, Mike, we in the Freedom Hunt.

1849
01:46:51,840 --> 01:46:54,280
Speaker 1: We love you up here in New York City. So

1850
01:46:54,400 --> 01:46:56,280
Speaker 1: thank you very much, sir for your kind words and

1851
01:46:56,320 --> 01:46:58,040
Speaker 1: your support. It really does mean a lot and I

1852
01:46:58,080 --> 01:47:02,439
Speaker 1: appreciate it. Um Jen rites great show today. Have you

1853
01:47:02,560 --> 01:47:04,800
Speaker 1: read The Lord of the Rings yet? I try to

1854
01:47:04,880 --> 01:47:07,280
Speaker 1: read the Hobbit once a year. Jen, I'll tell you,

1855
01:47:07,400 --> 01:47:10,200
Speaker 1: I actually, uh did read The Lord of the Rings

1856
01:47:10,280 --> 01:47:13,320
Speaker 1: many years ago. And I also had The Lord of

1857
01:47:13,320 --> 01:47:15,200
Speaker 1: the Rings read to me, and it's one of the

1858
01:47:15,240 --> 01:47:20,080
Speaker 1: things I most remember from grammar school. I had a

1859
01:47:20,160 --> 01:47:24,400
Speaker 1: fourth grade teacher and Mr Bill Ryan, who was just

1860
01:47:24,840 --> 01:47:26,960
Speaker 1: a magnificent educator and a lot of you know what

1861
01:47:27,040 --> 01:47:30,640
Speaker 1: I'm talking about. I mean, he he created an environment

1862
01:47:30,800 --> 01:47:33,760
Speaker 1: where he was he was telling great stories, and he

1863
01:47:33,880 --> 01:47:36,439
Speaker 1: loved baseball and told us about his childhood and the

1864
01:47:36,560 --> 01:47:39,800
Speaker 1: Bronx and playing stickball in the streets. But also would

1865
01:47:39,800 --> 01:47:44,439
Speaker 1: have us listen to the Vivaldi Four Seasons and it

1866
01:47:44,520 --> 01:47:47,880
Speaker 1: would play all this incredible classical music in the classroom

1867
01:47:47,880 --> 01:47:50,439
Speaker 1: all the time, would and and he would just read

1868
01:47:50,520 --> 01:47:52,720
Speaker 1: to us also. He'd be like, all right, everybody, we're

1869
01:47:52,720 --> 01:47:54,080
Speaker 1: gonna take a little break here, and he would read

1870
01:47:54,120 --> 01:47:55,800
Speaker 1: to us for you know, fifteen or twenty minutes at

1871
01:47:55,800 --> 01:47:58,320
Speaker 1: a time. Everybody just relax, and I'm gonna read you

1872
01:47:58,439 --> 01:48:00,360
Speaker 1: when you're a fourth grader, so I forget old that

1873
01:48:00,520 --> 01:48:04,240
Speaker 1: is I don't know, um, you know, ten eleven, twelve

1874
01:48:04,320 --> 01:48:07,200
Speaker 1: years old, something like that. When you're a fourth grader

1875
01:48:07,240 --> 01:48:09,120
Speaker 1: and someone's reading to you and they really and they

1876
01:48:09,200 --> 01:48:11,080
Speaker 1: love it and you know it and it's a great

1877
01:48:11,120 --> 01:48:13,040
Speaker 1: book like the Well Trilogy, like The Lord of the

1878
01:48:13,120 --> 01:48:16,559
Speaker 1: Rings stays with you. Uh. I would just put it out.

1879
01:48:16,560 --> 01:48:19,360
Speaker 1: I don't have kids, so you guys are all uh

1880
01:48:19,920 --> 01:48:23,400
Speaker 1: experts in raising young young men, young women, you know,

1881
01:48:23,520 --> 01:48:26,000
Speaker 1: boys and girls. UM, I have not done that yet.

1882
01:48:26,040 --> 01:48:28,800
Speaker 1: I'm looking forward to it though hopefully soon. But I

1883
01:48:28,840 --> 01:48:30,240
Speaker 1: would just say, if you're ever looking for someone to

1884
01:48:30,240 --> 01:48:32,439
Speaker 1: read to your kids, starve with the Hobbit, make your

1885
01:48:32,439 --> 01:48:34,280
Speaker 1: way in the Lord of the Rings. It's something I'll

1886
01:48:34,280 --> 01:48:37,000
Speaker 1: never forget. And Bill Ryan passed away some years ago,

1887
01:48:37,120 --> 01:48:39,840
Speaker 1: but he had a really big impact on me. Um.

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01:48:40,120 --> 01:48:42,000
Speaker 1: And without my friends, I'm gonna close up the hut

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01:48:42,439 --> 01:48:45,839
Speaker 1: for the day. Excited me back with you tomorrow. As always,

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Speaker 1: Shields High