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Speaker 1: You are entering the freedom hunt. American needs its freedom

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Speaker 1: time to reopen. Plus YouTube is censoring those doctors from

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Speaker 1: California who broke with the consensus over the lockdown. From

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Speaker 1: a right to be believed to a right to be heard,

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Speaker 1: Democrats changing the rules over the allegations against Joe Biden.

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Speaker 1: Plus should businesses be liable for COVID risks to employees?

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Speaker 1: Are we heading for a meat shortage? And Pence mask gates?

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Speaker 1: That are more coming up. This is the bus Sexon Show,

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Speaker 1: where the mission or mission is to decode what really

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Speaker 1: matters with actionable intelligence. Make no mistake your great American

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Speaker 1: Again the Buck Sex and Show begins. Analysts remember the animal,

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Speaker 1: he's a great guy. As our nation battles against this

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Speaker 1: terrible scorch, we continue to pray for the victims as

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Speaker 1: well as for those Americans who are grieving. They're lost

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Speaker 1: ones and they loved ones. There's never been anything like this.

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Speaker 1: We suffer with one heart, but we will prevail. We're

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Speaker 1: coming back, and we're coming back strong. We built the

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Speaker 1: greatest economy anywhere in the world two months ago, and

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Speaker 1: we're gonna build it again. We're going to build it fast.

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Speaker 1: It's going to go very quickly. And Larry, thank you

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Speaker 1: for being here very much. It's you see what's going

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Speaker 1: to happen. I think you have the same fielding as

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Speaker 1: I do. It's going to come back very fast. I

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Speaker 1: certainly hope the President's right. Welcome to the buck Sexton Show, everybody,

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Speaker 1: Thank you so much for joining. Oh man, it is time.

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Speaker 1: It is time for us to finally say it. We

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Speaker 1: need to reopen this country and this needs to be

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Speaker 1: happening faster than it currently is. I know that there's

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Speaker 1: all this guidance. I know that there is a desire

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Speaker 1: to make this go slowly and safely, and the time

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Speaker 1: is now different paces for different places. New York should

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Speaker 1: be a little bit slower, should be quite a bit

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Speaker 1: slower than some states, and somewhat slower than others. But

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Speaker 1: we can't continue doing this. This has been a bit

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Speaker 1: absurd now for a while. In my opinion, there are

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Speaker 1: states where you have like Texas has thirty million people,

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Speaker 1: about twenty nine million people and six hundred deaths. The

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Speaker 1: state's been shut down for going on two months. Now,

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Speaker 1: what are we doing? What the heck is this? Now?

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Speaker 1: I know Texas is starting to open up in other

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Speaker 1: states are beginning this process. You have a partial reopening

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Speaker 1: already in Montana, Minnesota, Colorado, Oklahoma, Colorado ninety three seven

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Speaker 1: FM Denver, what's up? But Colorado opening up partially, Tennessee, Oklahoma, Georgia,

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Speaker 1: which got a lot of attention from the media trying

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Speaker 1: to scared Georgia's governor Kemp away from a reopening. South Carolina, Mississippi,

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Speaker 1: They're all opening up or have already begun that process.

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Speaker 1: A lot of states, a lot of other states have

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Speaker 1: orders expiring tomorrow April thirtieth. With that, you've got Idaho, Nevada, Arizona, Texas, Alabama, Florida,

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Speaker 1: and they are in the process. Then I'm also opening.

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Speaker 1: But then you get into what are at Maine also

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Speaker 1: by the way, we'll be opening up. And then you

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Speaker 1: get into a whole bunch of other states that are

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Speaker 1: shut down or restricted with no immediate end in sight.

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Speaker 1: All of the Northeast, all the really what we consider

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Speaker 1: the East coast before you get down to South Carolina.

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Speaker 1: So from North Carolina all the way up to New Hampshire,

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Speaker 1: lockdown our entire west coast, California, Oregon, Washington, lockdown, the Dakotas, Nebraska, Kansas, Iowa, Missouri, Illinois,

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Speaker 1: the Midwest, the industrial Midwest, Ohio, Michigan lockdown. How long

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Speaker 1: are they going to continue to do this? Nobody really

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Speaker 1: knows at this point, because they're also putting in place

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Speaker 1: rules and regulations that are going to make it very

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Speaker 1: difficult for them to have real progress without setbacks. And

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Speaker 1: this is what I think everyone needs to know beforehand.

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Speaker 1: This needs to be established early in this process. If

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Speaker 1: we start opening states and then go back to full

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Speaker 1: on lockdown in those states, it's going to be disastrous.

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Speaker 1: How do you prepare an economy for that? How do

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Speaker 1: you prepare people psychologically for that? No, we've done the

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Speaker 1: lockdown thing. We get it, we know the mitigation measures.

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Speaker 1: We understand that there's not a cure for this disease

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Speaker 1: and that the treatments for it are substandard. Right now,

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Speaker 1: they're not sufficient, they're not good enough. Although I did

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Speaker 1: see we'll talk about the good data to day for

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Speaker 1: rimdsevere from Gilead Gilead Pharmaceuticals. Hopefully, all we have to

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Speaker 1: do is have something that would make the mortality rate

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Speaker 1: for those who are hospitalized, which is a small percentage

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Speaker 1: of people who overall even get the disease. If we

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Speaker 1: bring that mortality rate for the hospitalized down by fifty

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Speaker 1: sixty seventy percent, then this becomes an entirely manageable health problem.

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Speaker 1: Right now, it's more of a challenge and much more

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Speaker 1: of a threat because of the mortality of those who

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Speaker 1: are over seventy you go to the hospital. Imagine if

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Speaker 1: we can get to the place where you're over seventy five,

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Speaker 1: you're in the hospital of COVID, they have something that means,

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Speaker 1: you know, you got a nine out of ten shot

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Speaker 1: of making it out of that hospital. It would be

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Speaker 1: a game changer. Right. I don't want to get our

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Speaker 1: hopes up because who knows how far away this will be.

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Speaker 1: But some good data from Gile out of Pharmaceuticals on

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Speaker 1: ramdessevere culture scene is also going to have some data

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Speaker 1: coming out soon. This is I've been hearing about this

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Speaker 1: from doctor friends in New York for a few weeks now.

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Speaker 1: There's a big study out of Montreal and they're hoping

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Speaker 1: the cultures scene will prevent a will prevent the inflammatory

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Speaker 1: response in the lungs that's what ends up killing people

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Speaker 1: ards which is part of it, or which comes during

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Speaker 1: this site, or is tied in with the sight of

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Speaker 1: ken Storm Gosh reading about all this health stuff. I

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Speaker 1: gotta tell you, who would have thought it's It's like

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Speaker 1: we're all living in one long web MD article these days.

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Speaker 1: But we got to open the states. We have to

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Speaker 1: do this. It needs to be a mentality that we share.

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Speaker 1: The data is not supportive of the lockdowns anymore. If

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Speaker 1: you really look at it, it's not supportive of the lockdowns.

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Speaker 1: There are mitigation measures that should be kept in place,

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Speaker 1: there are certain things that we're going to have to

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Speaker 1: be doing for a while, but the overall lockdown approach

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Speaker 1: is just not what we should be doing. And that's

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Speaker 1: why I understand states are reopening and we're moving into it,

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Speaker 1: But I'm saying we need to move this faster. This

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Speaker 1: needs to go faster than it has so far. People

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Speaker 1: need to go. We keep saying, go back to work.

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Speaker 1: We need to get back to living our lives. We

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Speaker 1: need to get back to having the basic freedom in

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Speaker 1: our day to day of where we're going to go

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Speaker 1: and who we're going to see. That's a part of

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Speaker 1: life too. You know, we're all in what is effectively

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Speaker 1: this this true mass mass incarceration. You often hear liberals

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Speaker 1: talk about mass incarceration as a political issue, but we

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Speaker 1: have been in a mass incarceration. Yeah. Sure, you can

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Speaker 1: go out for essentials. But you know, if you're under

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Speaker 1: house arrest under some circumstances, I mean official criminal house arrest,

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Speaker 1: you can still go to the hospital. You still have

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Speaker 1: some you can go to doctor's appointments. There are things

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Speaker 1: they let you do. So yeah, okay, we can maybe

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Speaker 1: go out for a walk if you wear a mask.

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Speaker 1: It's gotten, it's gotten to the point where we just

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Speaker 1: have to say enough is enough, and we're there. I

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Speaker 1: think you've all been there for a while. I'm here

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Speaker 1: in New York. I've been building to this point. But

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Speaker 1: none of this like, oh, maybe this is going to

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Speaker 1: drag on for eighteen months. Maybe we're gonna have to

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Speaker 1: lock down again in a month, or we're gonna lock

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Speaker 1: down again in September. No, that's wrong. We shouldn't do that.

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Speaker 1: The data doesn't support it. It's not saving lives the

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Speaker 1: way they claimed it would when you line it up

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Speaker 1: against places that did not do lockdowns. This is looking

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Speaker 1: increasingly like an overreaction, a panic move that the administration

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Speaker 1: and states were pushed into for a combination of the

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Speaker 1: media frenzy around this issue after being completely wrong and

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Speaker 1: downplaying it when when the media's panic would have been

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Speaker 1: perhaps helpful. They were telling us it was no big deal,

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Speaker 1: that this wasn't go this wasn't gonna hit us that hard.

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Speaker 1: And then when we all realize that it was going

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Speaker 1: to actually hit this country very hard and cause a

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Speaker 1: lot of a lot of mass death and casualties, then

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Speaker 1: the media's response was lockdown for as long as it

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Speaker 1: takes everywhere. And if you're a post that you're a

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Speaker 1: bad person, you want to sacrifice old people to die,

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Speaker 1: that's what they say. It's nonsense, it's it's just wrong.

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Speaker 1: But this is now a major, a major fight we

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Speaker 1: have on our hands because there are places that want

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Speaker 1: to do whatever they can to drag this out as

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Speaker 1: long as they can, and the politicians who are in charge.

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Speaker 1: You must remember this. Politicians will always disappoint you. They're

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Speaker 1: not as good as they pretend to be, and they're

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Speaker 1: not as good as a lot of people want to

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Speaker 1: believe they are. Government is inapt by its nature. That's

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Speaker 1: why our founders wanted a very limited and clearly delineated

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Speaker 1: series of authorities and powers for the government. That's why

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Speaker 1: the focus wasn't on how do we have super geniuses

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Speaker 1: in charge that can make all of our decisions for us?

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Speaker 1: That socialism that state is. Another focus was here are

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Speaker 1: the things you're allowed to do, and here the rights

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Speaker 1: that individuals have that the state cannot trespass upon. Oh

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Speaker 1: there's been a lot of trespassing on those rights though,

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Speaker 1: hasn't there. There's been a lot of that going on

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Speaker 1: and not nearly enough pushback on it. Elon Musk, who,

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Speaker 1: whether you love Tesla or not, is certainly a dynamic

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Speaker 1: and brilliant fellow. He tweeted out earlier. Well, it was

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Speaker 1: I guess late last night, free America now in all caps.

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Speaker 1: I share the sentiment. It's time to free up this country.

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Speaker 1: We can figure this out as we go along. We

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Speaker 1: can take necessary steps to protect people in high risk

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Speaker 1: groups and in high risk areas without shutting down the

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Speaker 1: whole country. This was a mistake. The across the board

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Speaker 1: lockdown was the wrong decision. I understand why Trump felt

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Speaker 1: tremendous pressure. I understand why different states and governors even

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Speaker 1: felt a pressure to do this lockdown some states maybe,

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Speaker 1: and really it's just new York, New Jersey, Michigan, some states.

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Speaker 1: You could have justified this for two to four weeks,

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Speaker 1: but we've gone We've gone past it. It has reached

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Speaker 1: its expiration date, and all of this focus on oh,

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Speaker 1: we need the testing, and the testing will be in place,

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Speaker 1: and without that note, we have to start living life again.

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Speaker 1: We have to accept this. I'm going to be somebody

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Speaker 1: who's out in the red zone in New York City.

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Speaker 1: I will be I'm already going to stores and outside

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Speaker 1: interacting with people. But I'm somebody who's going to be

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Speaker 1: living in the highest risk part of the country. But

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Speaker 1: I'm a relatively low risk by age individual, and I'm

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Speaker 1: willing to take the risk. And I know that that

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Speaker 1: means there's going to have to be some other procedures

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Speaker 1: in place for those of us who do have people

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Speaker 1: in our lives who are at higher risk. And I

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Speaker 1: understand that this might mean that some people have to

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Speaker 1: continue on a regiment of extraordinary caution for the weeks

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Speaker 1: and months ahead. But we're more likely to have an

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Speaker 1: economy that can beat the virus, who are more likely

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Speaker 1: to be able to sustain frontline medical personnel, pay them,

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Speaker 1: keep them in status at the hospital where they're actually

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Speaker 1: doing things to help people, and help people who don't

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Speaker 1: have COVID nineteen. By the way, if those of us

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Speaker 1: who are at lower risk are productive and engaged, you know,

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Speaker 1: we have to remember it, some one, What exactly are

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Speaker 1: we fighting for. I'm not fighting for the I'm not

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Speaker 1: fighting for a future of being safe at home and

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Speaker 1: having a fridge full of food and we'll talk about

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Speaker 1: the possible meat shortage later. No, we want we want

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Speaker 1: the liberty to pick what our future will be, and

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Speaker 1: that means the right to make individual decisions that entail

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Speaker 1: some degree of risk. There's been a fundamental shift away

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Speaker 1: from this that's happened in our society where you have

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Speaker 1: this this panic ism or safety ism, as Heather McDonald

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Speaker 1: not live lives of safety ism. We live lives of

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Speaker 1: balanced and assessed risk of all different kinds and of

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Speaker 1: many different ways. Free American. Now Elon says, I'm with him.

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Speaker 1: It's time you're in the freedom. This is the Buck

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Speaker 1: Sex and Show podcast. Now. I can understand that there's

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Speaker 1: a tendency to think others, especially those who are in charge,

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Speaker 1: especially those who do not share a similar philosophical foundation

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Speaker 1: You would think that they are also seeing the situation

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Speaker 1: with clear eyes, full hearts, can't lose, so that they're

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Speaker 1: seeing this in a way that all of us can

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Speaker 1: start from a premise that we hold some things in

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Speaker 1: common about what's going on and what should be done

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Speaker 1: in this country. Unfortunately, we are now in for quite

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Speaker 1: a struggle because there are number of different factors coming together.

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Speaker 1: There's a mass panic, a massister area over this where

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Speaker 1: it's very hard to penetrate this with facts and data.

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Speaker 1: There is a enormous political motive which we're not supposed

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Speaker 1: to talk about. And the political motive, of course is

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Speaker 1: to make sure that the economy, the economy can suffer

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Speaker 1: and suffer and suffer, which is going to hurt Trump's

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Speaker 1: reelection chances. We all know that. And the people that

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Speaker 1: are pushing for a more suffering economy are going to

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Speaker 1: say we were saving lives, so they get to feel

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Speaker 1: self righteous about it too. And then you have the States,

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Speaker 1: and people forgot this, but states, once they have a

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Speaker 1: taste of certain powers, the people in charge think that

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Speaker 1: they should continue to wield those powers. They do not

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Speaker 1: want to give them back. They do not say, yeah,

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Speaker 1: that was fun, but or that was necessary, but we're

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Speaker 1: going to move on to something else. And that's what

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Speaker 1: we're facing now. We're facing that recognition and realization and

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Speaker 1: also that there are private sector businesses that are willing

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Speaker 1: to go along with efforts to suppress dissent, to shut

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Speaker 1: down the discussion that all of us should be having

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Speaker 1: about what's an intelligent response given where we are right now.

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Speaker 1: I mean, there's the focus on what has happened, and

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Speaker 1: we do some of that here, but I'm most concerned

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Speaker 1: on how quickly can we get things back up and running. Remember,

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Speaker 1: the economic damage here is time delayed. We're not going

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Speaker 1: to really understand how many businesses are not going to reopen,

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Speaker 1: how much the debt that we're accruing is going to

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Speaker 1: drag on our economy and future growth, and also the

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Speaker 1: changes in daily life and the way that they're going

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Speaker 1: to affect even once we start to reopen, how they're

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Speaker 1: going to affect different industries and businesses they're out there,

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Speaker 1: and what that means for people. There's going to be

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Speaker 1: an enormous shift of workers, of wealth, of time, allocation

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Speaker 1: of careers and that can be a painful process. In

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Speaker 1: the end, maybe you get to a better place through

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Speaker 1: that kind of economic evolution, But in the short term,

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Speaker 1: it means a lot of people without a check. It

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Speaker 1: means a lot of people who are going to be

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Speaker 1: going through a painful time. And we're just starting to

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Speaker 1: really get a sense of how broad that is and

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Speaker 1: what that's really going to look like for months, if

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Speaker 1: not perhaps a year or two ahead of us. You know,

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Speaker 1: if this were so easy, if it were possible to

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Speaker 1: just have the government right checks to keep an economy going,

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Speaker 1: why shouldn't we just give ourselves an eight week paid

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Speaker 1: vacation every year courtesy of Uncle Sam. There would be

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Speaker 1: no good reason unless there were negative consequences to that

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Speaker 1: for all of us, and we understand that there are

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Speaker 1: negative consequences, but no one has been focused on that.

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Speaker 1: Now we've been told stay home, you'll get money, you'll

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Speaker 1: get paid, and we'll send you cash. Just make sure

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Speaker 1: you've got plenty of mac and cheese and soda in

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Speaker 1: the fridge and whatever else, and everything's going to be fine.

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Speaker 1: People want to go back to work. People are tired

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Speaker 1: of this, and the data does not support this. Continued

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Speaker 1: across the board shutdown. I have to keep repeating that

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Speaker 1: just because we have to get this through into people's heads. Yes,

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Speaker 1: this disease is dangerous, particularly dangerous to a certain percentage

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Speaker 1: of the population. Yes, it has been a horrible death

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Speaker 1: pull so far. We were not prepared for this, and

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Speaker 1: it's a stunning it's a stunning failure of government to

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Speaker 1: have been able to handle this better. Fine, all true,

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Speaker 1: But now now I want to see more and more

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Speaker 1: states adopting the policies of individual freedom and economic choice

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Speaker 1: that we should all have as part of our day

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Speaker 1: to day lives. I mean, New York they're talking about this.

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Speaker 1: Might you know, we got a twelve step program and

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Speaker 1: we got to have this amount of tracing for this

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Speaker 1: amount of individual They're never going to be able to

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Speaker 1: test and trace. Give me a break, They're never gonna

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Speaker 1: be able to do this. They've never been able to

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Speaker 1: do this for a disease at this scale and this

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Speaker 1: speed of spread. And we think that now we're going

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Speaker 1: to figure this out, and you're going to New York

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Speaker 1: is doing this. We're gonna pin our hopes for returning

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Speaker 1: to some degree of not just normalcy, some degree of

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Speaker 1: a life that we get up and look forward to

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Speaker 1: with things to do, with the ability to go out

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Speaker 1: there and make a difference and make choices. We're going

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Speaker 1: to pin that on government setting up a test and

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Speaker 1: trace program that is well beyond not just their capabilities now,

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Speaker 1: but no one really thinks they're gonna be able to

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Speaker 1: do this, think of the resources involved and for what

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Speaker 1: So that we have a better idea of where there

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Speaker 1: are infections in the country than we would based on

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Speaker 1: people who currently know that they're infected based on the symptoms,

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Speaker 1: and then go and get a test. We're going to

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Speaker 1: try to track all asymptomatic carriers. I keep hearing that

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Speaker 1: that's the plan, and then I look around and I say,

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Speaker 1: that can really be the plan? Is it? But no,

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Speaker 1: it is for them, it is. And it's very political too,

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Speaker 1: because if you go against test and trace, if you

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Speaker 1: go too fast, guess what, it's all Trump's fault. That's

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Speaker 1: what they're going to say, because the federal government should

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Speaker 1: be doing it. Thanks for listening to The Bust. Remember

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Speaker 1: to subscribe on Apple podcasts, the iHeart Radio app, or

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Speaker 1: wherever you get your podcasts. This is a time when

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Speaker 1: it's particularly important that we have open and free dialogue, debate,

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Speaker 1: discussion about what's happening in the country, because it affects

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Speaker 1: all of us. Nobody is immune from this, no one

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Speaker 1: is unaffected by It is something that we are all

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Speaker 1: very much dragged into in the middle of and has

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Speaker 1: a really negative impact on us. The shutdown across the nation,

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Speaker 1: the shutdown of our states, of our businesses, of the economy.

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Speaker 1: This has affected everyone that I know. This has affected

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Speaker 1: me and my business too. This is not a good time,

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Speaker 1: a fun time to be in particular media that doesn't have,

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Speaker 1: you know, a legacy corporate entity that owns it, right,

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Speaker 1: I mean, you know where I'm not doing a radio

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Speaker 1: show for a company that is, you know, owned by

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Speaker 1: Disney or you know, it's it's not one of these

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Speaker 1: massive conglomerates along the lines of what you have at

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Speaker 1: the cable at some of the big cable news network.

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Speaker 1: So everyone's affected by this. I mean everyone is being

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Speaker 1: just because of ad revenue, the lack of demand and everything.

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Speaker 1: And that's just on the economic side, on the psychological side,

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Speaker 1: on the health side. And I might have a chance

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Speaker 1: to talk to you about what we're seeing early stage

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Speaker 1: of this, what we're seeing based on the data in Oregon,

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Speaker 1: mortality data in Oregon, and what that is telling us.

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Speaker 1: It's not what you would think right now based on

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Speaker 1: a lot of the narrative around COVID nineteen, but we

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Speaker 1: should be hearing from experts. And one thing that has

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Speaker 1: been consistent is that we were told for weeks, do

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Speaker 1: your part to help the frontline medical workers. Stay home,

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Speaker 1: shut up, wear a mask. We don't want to hear it.

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Speaker 1: Do your part. That's what that was really the message.

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Speaker 1: I mean maybe they were a little more gentle with

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Speaker 1: it than that, but that's more or less what it

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Speaker 1: boiled down to. If you want to help us, if

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Speaker 1: you want to help the medical workers, you absolutely have

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Speaker 1: to not be out and trying to be living other

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Speaker 1: parts of your life. You have to stay home. Okay, Well,

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Speaker 1: now we've got doctors who are coming forward to We're

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Speaker 1: saying increasingly, no, I don't want to do that. This

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Speaker 1: doctor at St. Barnabas Hospital in the Bronx, which has

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Speaker 1: been hit very badly. Those of you are familiar with

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Speaker 1: in New York City don't know the Bronx pretty well.

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Speaker 1: It's an area that has had a really high for hospitalizations,

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Speaker 1: a large number of hospitalizations, but also, the mortality rate

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Speaker 1: has been high and minority, the minority community in the Bronx.

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Speaker 1: The Bronx is a very large minority community in general,

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Speaker 1: they've been hit particularly badly by this, and it's just

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Speaker 1: it's been brutal, it's been terrible. A doctor who's a

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Speaker 1: frontline er doc in Barnabas hospitals like, look, here's what's

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Speaker 1: really going on. He wrote this in the New York

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Speaker 1: Post over the weekend. He says, there's there's some terrible

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Speaker 1: stuff happening here, but it is only really affecting the

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Speaker 1: population that we had thought all along was at highest risk,

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Speaker 1: and we're doing the best we can for that population.

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Speaker 1: But the disease had already spread wide before, broadly, before

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Speaker 1: we had this lockdown in place. And this doctor who

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Speaker 1: is he's dealing with COVID patients all day long, trying

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Speaker 1: to save lives, trying to protect people, and he's saying

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Speaker 1: that to most of the population, the risk is very

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Speaker 1: low and the economic and health impacts health impacts of

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Speaker 1: the lockdown are disastrous, and with each day get worse

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Speaker 1: and worse and worse. There is no antibody to a

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Speaker 1: bad economy. There is no okay We're just going to

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Speaker 1: wait this out for a bad economy, right, That's not possible.

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Speaker 1: So that's where you start to have these doctors who

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Speaker 1: are coming out, and they're very brave because they're really

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Speaker 1: speaking against a medical community consensus. Look, I'm just gonna

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Speaker 1: say it. Most doctors in certain fields are they tend

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Speaker 1: to be Democrats. Surgeons tend to lean Republican, which I

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Speaker 1: think is very interesting. There are some fields where you

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Speaker 1: have a higher percentage surgeons, heart surgeons, brain surgeons tend

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Speaker 1: to be Republican. Psychiatrists mostly Libs, huge majority of psychiaterest

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Speaker 1: or liberals. But there is a hashtag science consensus that

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Speaker 1: it's settled in. Now. When I say it's a consensus,

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Speaker 1: that's a perception, it's not a reality. Doesn't mean that

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Speaker 1: every doc agrees with this. And certainly some of the

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Speaker 1: docks that I've been talking to, probably because some of

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Speaker 1: them are social acquaintances of mine as well. But here

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Speaker 1: in New York we're dealing with COVID, they haven't agreed

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Speaker 1: with the across the board lockdown policy. I mean some

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Speaker 1: of them were, like I've said, there are like two weeks,

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Speaker 1: maybe because we could have shut down for two weeks.

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Speaker 1: It would have been okay, it would have been painful

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Speaker 1: for businesses, but that we could have bounced back from that.

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Speaker 1: That would have been very manageable. A month, six weeks,

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Speaker 1: eight weeks, ten weeks. It's not manageable. It's not something

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Speaker 1: that's worth the cost. But you have this case. So

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Speaker 1: there are doctors that are coming out and they're saying

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Speaker 1: that they're the ones that are seeing the worst of

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Speaker 1: COVID nineteen every day. They're the ones that are seeing

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Speaker 1: the Wuhan coronavirus destroying, you know, certain communities here in

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Speaker 1: New York, not really doing very much to a lot

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Speaker 1: of states with much less population density, but destroying people

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Speaker 1: here in New York City and destroying families. And then

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Speaker 1: the loss of life is terrible, and they're saying, we

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Speaker 1: still have to go on, and we still have to

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Speaker 1: go forward with life. We can't continue to lockdown. You're

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Speaker 1: hearing doctors saying this, Now, that's a big change, that's

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Speaker 1: the big switch. And then you have this situation with

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Speaker 1: doctors from Accelerated Urgent Care out in Bakersfield, California, doctors

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Speaker 1: Dan Ericson and artin Massihi, and they just did a

428
00:24:34,680 --> 00:24:40,240
Speaker 1: sit down a conference really with twenty three ABC. So

429
00:24:40,400 --> 00:24:43,399
Speaker 1: credit to twenty three ABC for putting this together. And

430
00:24:43,800 --> 00:24:48,280
Speaker 1: the video went megaviral and the millions and millions and

431
00:24:48,359 --> 00:24:51,560
Speaker 1: millions of views, and they and he's here's why the

432
00:24:51,680 --> 00:24:56,080
Speaker 1: video went megaviral in that way because they said things

433
00:24:56,200 --> 00:24:59,479
Speaker 1: like this, cases that we already know about. So if

434
00:24:59,480 --> 00:25:02,840
Speaker 1: we look at California, these numbers are from yesterday, we

435
00:25:02,960 --> 00:25:05,639
Speaker 1: have thirty three thousand, eight hundred and sixty five COVID

436
00:25:05,680 --> 00:25:09,080
Speaker 1: cases out of a total of two hundred and eighty thousand,

437
00:25:09,160 --> 00:25:13,560
Speaker 1: nine hundred total testing. That's twelve percent of Californians we're

438
00:25:13,560 --> 00:25:17,879
Speaker 1: positive for COVID. So we don't the initial as you

439
00:25:17,920 --> 00:25:21,760
Speaker 1: guys know, the initial models were we're willfully inaccurate. They

440
00:25:21,800 --> 00:25:26,080
Speaker 1: predicted millions of cases of death, not of not of

441
00:25:26,119 --> 00:25:30,920
Speaker 1: prevalence or incidents, but death that is not materializing. WHOA

442
00:25:31,320 --> 00:25:34,720
Speaker 1: hold on a second, you're you're you're not allowed to

443
00:25:34,760 --> 00:25:41,400
Speaker 1: say that it's true. But doctor doctor whatever his name

444
00:25:41,480 --> 00:25:42,720
Speaker 1: is here for God, for a second, I think it

445
00:25:42,760 --> 00:25:46,760
Speaker 1: is doctor Ericson. Is that right? Yeah? Yeah, doctor Ericson.

446
00:25:46,880 --> 00:25:49,880
Speaker 1: Not allowed to say that, not allowed to point out

447
00:25:49,920 --> 00:25:51,320
Speaker 1: what we already know to be the case, which is

448
00:25:51,359 --> 00:25:53,200
Speaker 1: the models we're way off. Oh, but he goes further

449
00:25:53,320 --> 00:25:56,840
Speaker 1: than that. What is materializing in the state of California

450
00:25:57,160 --> 00:26:00,800
Speaker 1: is twelve percent positives. Well, if we thirty nine point

451
00:26:00,880 --> 00:26:03,879
Speaker 1: five million people, if we just take a basic calculation

452
00:26:03,880 --> 00:26:07,600
Speaker 1: and extrapolate that out, that equates to about four point

453
00:26:07,640 --> 00:26:11,000
Speaker 1: seven million cases throughout the state of California, which means

454
00:26:11,040 --> 00:26:14,800
Speaker 1: this thing is widespread. That's the good news. We've seen

455
00:26:14,920 --> 00:26:18,600
Speaker 1: one thousand, two hundred and twenty seven deaths in the

456
00:26:18,600 --> 00:26:24,040
Speaker 1: state of California with a possible incidence or prevalence of

457
00:26:24,119 --> 00:26:26,280
Speaker 1: four point seven million. That means you have a zero

458
00:26:26,320 --> 00:26:29,560
Speaker 1: point zero three chance of dying from COVID nineteen the

459
00:26:29,560 --> 00:26:35,440
Speaker 1: state of California. Zero point zero three chance of dying

460
00:26:35,480 --> 00:26:38,680
Speaker 1: from COVID in the state of California. Is that? Does

461
00:26:38,720 --> 00:26:44,160
Speaker 1: that necessitate sheltering in place? Does that necessitate shutting down

462
00:26:44,200 --> 00:26:47,920
Speaker 1: medical systems? Does that necessitate people being out of work?

463
00:26:51,520 --> 00:26:55,760
Speaker 1: Does it? Does anybody want to try to answer that?

464
00:26:56,880 --> 00:27:01,240
Speaker 1: Does anybody have any interest in what these doctors are saying? Well,

465
00:27:01,280 --> 00:27:04,320
Speaker 1: the answer we know is that of course millions of people,

466
00:27:05,040 --> 00:27:07,000
Speaker 1: millions of people wanted to hear what these doctors had

467
00:27:07,040 --> 00:27:09,840
Speaker 1: to say, and they're they're treating this is the data

468
00:27:09,880 --> 00:27:14,639
Speaker 1: that they have collected, and they are frontline medical docs

469
00:27:15,400 --> 00:27:21,680
Speaker 1: doing everything that they can, everything possible to save lives

470
00:27:21,680 --> 00:27:24,480
Speaker 1: and to help people. And this one doc, doctor Ericson,

471
00:27:24,520 --> 00:27:27,040
Speaker 1: is saying, look, you have a very instate of California.

472
00:27:27,040 --> 00:27:28,880
Speaker 1: You have a very very very small chance of dying

473
00:27:28,880 --> 00:27:31,320
Speaker 1: from this. This date of California is on lockdown like

474
00:27:31,400 --> 00:27:37,040
Speaker 1: it's New York. Why it shouldn't be. This doesn't make

475
00:27:37,080 --> 00:27:39,680
Speaker 1: any sense. It's not a good idea that data doesn't

476
00:27:39,680 --> 00:27:43,399
Speaker 1: support it. Now, you'd think that this would be very

477
00:27:43,480 --> 00:27:46,600
Speaker 1: important for people to be able to hear to see

478
00:27:46,640 --> 00:27:48,960
Speaker 1: for themselves. You should watch this whole video. It's about

479
00:27:49,880 --> 00:27:52,840
Speaker 1: about forty five fifty minutes long. Or it just goes

480
00:27:52,880 --> 00:27:56,320
Speaker 1: through all the data, tells you what he thinks you

481
00:27:56,359 --> 00:27:59,600
Speaker 1: should be in a position where you can make your

482
00:27:59,640 --> 00:28:02,880
Speaker 1: own terminations about what their recommendations are and what they're

483
00:28:02,880 --> 00:28:05,639
Speaker 1: thinking about all of this. But you know what happened.

484
00:28:06,800 --> 00:28:13,280
Speaker 1: It got pulled down. YouTube decided that this was a

485
00:28:13,400 --> 00:28:15,920
Speaker 1: violation of its terms of service. I think I mentioned

486
00:28:15,960 --> 00:28:19,120
Speaker 1: this in the show yesterday, and I know Tucker Carlson

487
00:28:19,640 --> 00:28:21,520
Speaker 1: talked about this a bit last night on his show.

488
00:28:23,119 --> 00:28:26,119
Speaker 1: Why would YouTube pull this down? These are two medical

489
00:28:26,119 --> 00:28:30,200
Speaker 1: doctors talking about data and talking about what they are seeing,

490
00:28:30,920 --> 00:28:34,480
Speaker 1: what they're up to, you meaning that what they're seeing

491
00:28:34,520 --> 00:28:38,280
Speaker 1: from the actual process of trying to save patients lives

492
00:28:38,280 --> 00:28:40,760
Speaker 1: and do everything they end for them, and YouTube pulls

493
00:28:40,760 --> 00:28:47,400
Speaker 1: it down. How could that be? It seems so completely bizarre.

494
00:28:48,600 --> 00:28:54,040
Speaker 1: And here's what YouTube said, quote, we quickly remove flagged

495
00:28:54,040 --> 00:28:58,360
Speaker 1: content that violate our community guidelines, including content that explicitly

496
00:28:58,440 --> 00:29:03,320
Speaker 1: disputes the fic see of local healthy authority recommended guidance

497
00:29:03,520 --> 00:29:06,840
Speaker 1: or health authority. It says healthy health authority recommended guidance

498
00:29:06,880 --> 00:29:10,040
Speaker 1: on social distancing that may lead others to act against

499
00:29:10,040 --> 00:29:16,520
Speaker 1: that guidance. So, now science, which is all about testing

500
00:29:16,560 --> 00:29:21,560
Speaker 1: and retesting hypotheses and assumptions and data, this is remembered

501
00:29:21,760 --> 00:29:24,440
Speaker 1: the global warming consensus. I mean, this is how the left,

502
00:29:24,440 --> 00:29:27,080
Speaker 1: the Libs like to think about these issues. There's a

503
00:29:27,120 --> 00:29:28,680
Speaker 1: way that you're allowed to talk about there's a way

504
00:29:28,680 --> 00:29:29,880
Speaker 1: you're allowed to think about it, and then if you

505
00:29:29,920 --> 00:29:32,280
Speaker 1: deviate from that, if you even ask questions about it,

506
00:29:32,440 --> 00:29:35,440
Speaker 1: you're a problem. Do as you're told. Peasant not allowed

507
00:29:35,440 --> 00:29:39,360
Speaker 1: to ask any questions. YouTube is going along with this?

508
00:29:40,600 --> 00:29:43,160
Speaker 1: How can anyone think that this violates community guidlance? You

509
00:29:43,200 --> 00:29:47,520
Speaker 1: don't violence community guidelines. State governors acting like petty tyrants

510
00:29:47,560 --> 00:29:50,440
Speaker 1: telling you that you have to stay inside, police using

511
00:29:50,520 --> 00:29:54,280
Speaker 1: sting operations to determine whether or not someone is offering

512
00:29:55,000 --> 00:30:00,840
Speaker 1: their services as a nail salon person to people behind

513
00:30:00,880 --> 00:30:04,120
Speaker 1: closed doors to paint their nails and whatever people do

514
00:30:04,160 --> 00:30:07,360
Speaker 1: it in Nelson. I don't even know, but that to

515
00:30:07,440 --> 00:30:11,800
Speaker 1: me is a violation. Isn't it Arresting somebody in front

516
00:30:11,800 --> 00:30:15,240
Speaker 1: of his or her children before being in a public

517
00:30:15,280 --> 00:30:18,440
Speaker 1: playground when there's basically no risk. We're starting to say this,

518
00:30:18,440 --> 00:30:22,000
Speaker 1: there's basically no risk from being in public in the

519
00:30:22,080 --> 00:30:26,720
Speaker 1: open air if you maintain even a basic normal human

520
00:30:26,800 --> 00:30:29,240
Speaker 1: distance from people you know. Usually you don't walk out,

521
00:30:29,280 --> 00:30:32,440
Speaker 1: go to the park and start nuzzling strangers. So as

522
00:30:32,480 --> 00:30:35,840
Speaker 1: long as you just maintain some personal boundaries, your risk

523
00:30:35,880 --> 00:30:39,680
Speaker 1: is effectively zero. That's what the science says. Meanwhile, we

524
00:30:39,760 --> 00:30:41,760
Speaker 1: got idiots running all over the place telling us you've

525
00:30:41,720 --> 00:30:43,960
Speaker 1: got to be masked in public all the time. No,

526
00:30:44,640 --> 00:30:49,239
Speaker 1: that doesn't make sense. This is now superstition. This has

527
00:30:49,280 --> 00:30:55,360
Speaker 1: turned into some kind of public sanctimony, competition about who

528
00:30:55,440 --> 00:30:58,320
Speaker 1: gets to be who is the most dedicated to fighting

529
00:30:58,320 --> 00:31:01,920
Speaker 1: against COVID nineteen by wearing the mask the most. This

530
00:31:02,000 --> 00:31:06,600
Speaker 1: is absurd, it's stupid, but we're not allowed to talk

531
00:31:06,640 --> 00:31:10,080
Speaker 1: about it. We're supposed to the largest video sharing platform

532
00:31:10,080 --> 00:31:12,760
Speaker 1: in the world, YouTube is going to shut that down now.

533
00:31:12,800 --> 00:31:14,680
Speaker 1: Fortunately it's up in a whole lot of other places,

534
00:31:14,760 --> 00:31:17,360
Speaker 1: and it's just made the video. As so often happens

535
00:31:17,400 --> 00:31:20,880
Speaker 1: with censorship, it makes the video even more enticing. People

536
00:31:20,880 --> 00:31:23,120
Speaker 1: want to see it even more now they realize that

537
00:31:23,160 --> 00:31:27,440
Speaker 1: it was at least temporarily forbidden to them. But I

538
00:31:27,480 --> 00:31:30,560
Speaker 1: sit here and I just can't help but think about

539
00:31:30,640 --> 00:31:34,240
Speaker 1: how this is playing out and everything that we thought

540
00:31:34,320 --> 00:31:37,240
Speaker 1: about the status, everything that we've thought about the left,

541
00:31:38,160 --> 00:31:41,760
Speaker 1: we're being reminded of it now. They want power, they

542
00:31:41,840 --> 00:31:44,280
Speaker 1: like to wield power. They don't care about your individual rights.

543
00:31:44,800 --> 00:31:49,640
Speaker 1: And there is this mentality among the establishment political and

544
00:31:49,680 --> 00:31:53,320
Speaker 1: media class that science is something that you just say,

545
00:31:53,840 --> 00:31:56,280
Speaker 1: and it's a slogan, and you can bludgeon other people

546
00:31:56,280 --> 00:32:00,440
Speaker 1: into submission by saying science, you know, even if you're

547
00:32:00,440 --> 00:32:03,160
Speaker 1: completely ignorant of even the most basic tenets of science.

548
00:32:04,520 --> 00:32:07,959
Speaker 1: And that's what's happening right now. They have no explanations

549
00:32:07,960 --> 00:32:09,760
Speaker 1: for while the models were so off. Remember the models

550
00:32:09,760 --> 00:32:13,240
Speaker 1: were used to tell us all to shelter in place,

551
00:32:13,440 --> 00:32:16,800
Speaker 1: go home, be on lockdown, and that's what this is.

552
00:32:16,840 --> 00:32:19,240
Speaker 1: This is a shelter in place order from states across

553
00:32:19,280 --> 00:32:22,160
Speaker 1: the country. The models were the main justification for that.

554
00:32:22,440 --> 00:32:25,479
Speaker 1: We were not told, look, we might lose sixty thousand

555
00:32:25,560 --> 00:32:27,960
Speaker 1: to seventy thousand people over the next six or seven months,

556
00:32:28,960 --> 00:32:32,840
Speaker 1: but we might also be able to bring that number

557
00:32:32,840 --> 00:32:35,840
Speaker 1: down a bit if we just do the following things. No, no,

558
00:32:36,000 --> 00:32:39,280
Speaker 1: we were told today home, you're going to lose one hundred,

559
00:32:39,320 --> 00:32:41,920
Speaker 1: two hundred fifty thousand people even if you do everything

560
00:32:41,960 --> 00:32:45,000
Speaker 1: we say. So you better do everything we say because

561
00:32:45,000 --> 00:32:48,280
Speaker 1: it could be much much worse than that. My friends

562
00:32:48,320 --> 00:32:51,280
Speaker 1: that were wrong and bending the curve has now turned

563
00:32:51,280 --> 00:32:55,320
Speaker 1: into or flattening the curve has now turned into well,

564
00:32:55,440 --> 00:32:56,920
Speaker 1: we're going to kind of just keep trying to do

565
00:32:56,960 --> 00:32:59,640
Speaker 1: this for as long as possible, because really what ends

566
00:32:59,720 --> 00:33:02,800
Speaker 1: up opening as you just spread the spread of the

567
00:33:02,880 --> 00:33:06,480
Speaker 1: disease out over a longer period of time, which means

568
00:33:06,480 --> 00:33:09,920
Speaker 1: that you're going toward what is a de facto herd

569
00:33:10,000 --> 00:33:15,040
Speaker 1: immunity strategy with mitigation to slow the spread, but not

570
00:33:15,120 --> 00:33:19,200
Speaker 1: to stop it. That's what we're heading for. They won't

571
00:33:19,200 --> 00:33:21,160
Speaker 1: be honest about it, though, so instead what they say

572
00:33:21,160 --> 00:33:23,200
Speaker 1: as well, we might do. And there are some who

573
00:33:23,240 --> 00:33:24,920
Speaker 1: are claiming that we're really just going to have to

574
00:33:25,000 --> 00:33:28,800
Speaker 1: do a series of lockdowns, additional lockdowns. It's time to

575
00:33:28,880 --> 00:33:31,600
Speaker 1: free America. It's time for all of us to be free.

576
00:33:32,400 --> 00:33:33,800
Speaker 1: People want to stay home, they can stay home. You

577
00:33:33,800 --> 00:33:35,440
Speaker 1: don't want to open your business, don't open your business

578
00:33:35,480 --> 00:33:38,360
Speaker 1: you think you're at a high risk. Take whatever precautions you.

579
00:33:39,200 --> 00:33:43,240
Speaker 1: Any American needs to know that you, the American people,

580
00:33:43,320 --> 00:33:47,520
Speaker 1: as individuals, are responsible for your own health. No one

581
00:33:47,560 --> 00:33:49,000
Speaker 1: else cares about it as much as you do. You

582
00:33:49,040 --> 00:33:50,400
Speaker 1: might have loved ones who care a whole huck of

583
00:33:50,440 --> 00:33:52,000
Speaker 1: a lot, but no one cares about your health as

584
00:33:52,080 --> 00:33:53,840
Speaker 1: much as you do as an individual. As a person,

585
00:33:54,360 --> 00:33:56,360
Speaker 1: you need to be empowered to make decisions for it.

586
00:33:56,400 --> 00:33:58,760
Speaker 1: You need to have the best data, the best information possible,

587
00:33:59,400 --> 00:34:01,719
Speaker 1: which is hard, hard when you've got suppression efforts from

588
00:34:01,760 --> 00:34:06,040
Speaker 1: YouTube and others. But it's time to restore the balance

589
00:34:06,120 --> 00:34:08,759
Speaker 1: of freedom in this country, including the risks that come

590
00:34:08,840 --> 00:34:11,400
Speaker 1: from allowing people to make their own decisions about their lives.

591
00:34:14,280 --> 00:34:17,280
Speaker 1: You're in the freedom huh. This is the Buck Sexton

592
00:34:17,360 --> 00:34:25,040
Speaker 1: Show podcast. In my mind, it's inevitable that we will

593
00:34:25,120 --> 00:34:28,680
Speaker 1: have a return of the virus, or maybe it it

594
00:34:28,800 --> 00:34:34,359
Speaker 1: never even went away. When it does, how we handle it,

595
00:34:34,840 --> 00:34:38,919
Speaker 1: we'll determine our fate. It's coming back, he says. We're

596
00:34:38,920 --> 00:34:42,399
Speaker 1: flattening the curve. Right, We're flattening the curve. Okay, it's

597
00:34:42,400 --> 00:34:46,680
Speaker 1: been flattened. Now what now? We either start to try

598
00:34:46,680 --> 00:34:49,680
Speaker 1: to live life again, or we just hide until a

599
00:34:49,840 --> 00:34:52,959
Speaker 1: hide and prey for a vaccine or a cure while

600
00:34:53,000 --> 00:34:55,400
Speaker 1: the economy and our society crumbles around us. Those are

601
00:34:55,400 --> 00:34:57,840
Speaker 1: the options. Some of us knew this in the beginning,

602
00:34:58,200 --> 00:35:01,000
Speaker 1: and try to tell everybody. I tried, and I will

603
00:35:01,000 --> 00:35:03,320
Speaker 1: tell you even I one. Once I saw those models,

604
00:35:03,680 --> 00:35:05,600
Speaker 1: What am I gonna do? I'm gonna say, Okay, don't

605
00:35:05,640 --> 00:35:08,520
Speaker 1: listen to the authorities. Two million people will die unless

606
00:35:08,560 --> 00:35:11,560
Speaker 1: we do what they say. I didn't know that the

607
00:35:11,600 --> 00:35:13,520
Speaker 1: models were going to be as far off as they were.

608
00:35:13,719 --> 00:35:17,920
Speaker 1: I thought I always bake into my analysis, or building

609
00:35:17,920 --> 00:35:19,520
Speaker 1: into my analysis. I don't know what baking is on

610
00:35:19,560 --> 00:35:22,759
Speaker 1: my mind. I always building my analysis the possibility of

611
00:35:22,920 --> 00:35:25,239
Speaker 1: government inaptitude and stupidity. I didn't think it would be

612
00:35:25,320 --> 00:35:28,840
Speaker 1: off by so much. But initially I said, look, we

613
00:35:28,880 --> 00:35:30,920
Speaker 1: got to go back to work. I understand that there

614
00:35:30,920 --> 00:35:32,760
Speaker 1: are a risk, I understand that there could be additional

615
00:35:32,760 --> 00:35:34,239
Speaker 1: spread of the virus, but we've got to go back

616
00:35:34,239 --> 00:35:36,600
Speaker 1: to work week. We can't do this doesn't make sense.

617
00:35:37,160 --> 00:35:40,920
Speaker 1: And now everyone's saying, wait a second, maybe maybe protecting

618
00:35:40,960 --> 00:35:46,760
Speaker 1: vulnerable populations, taking basic mitigation measures, engaging in some social distancing.

619
00:35:46,960 --> 00:35:49,279
Speaker 1: I also want to see how much the social distancing

620
00:35:50,480 --> 00:35:52,600
Speaker 1: really makes a difference versus the natural spread of the

621
00:35:52,680 --> 00:35:55,480
Speaker 1: virus over the progression of this Remember, it's been in

622
00:35:55,480 --> 00:35:59,800
Speaker 1: the country, and it's been in the country since January February,

623
00:36:00,120 --> 00:36:04,560
Speaker 1: and it was in March when we had this huge

624
00:36:04,600 --> 00:36:08,719
Speaker 1: spike in deaths and mortality, or sorry, it was in

625
00:36:08,760 --> 00:36:10,600
Speaker 1: March when we all realized rather that we were going

626
00:36:10,640 --> 00:36:12,200
Speaker 1: to have that huge spike in deaths and mortality. And

627
00:36:12,200 --> 00:36:15,040
Speaker 1: then the worst of the virus hit late March early April.

628
00:36:15,400 --> 00:36:18,040
Speaker 1: I mean, it was spreading very rapidly. It spread, it

629
00:36:18,080 --> 00:36:20,640
Speaker 1: had spread to millions of people in this country already,

630
00:36:21,280 --> 00:36:23,719
Speaker 1: and then they're telling US. Oh, but because of these

631
00:36:23,760 --> 00:36:27,000
Speaker 1: mitigation measures. I'm sure the mitigation measures help. I'm sure

632
00:36:27,000 --> 00:36:29,960
Speaker 1: the common sense aspects of it do have an impact.

633
00:36:30,080 --> 00:36:33,279
Speaker 1: How much? How much of it is just don't be

634
00:36:33,320 --> 00:36:37,120
Speaker 1: around sick people, self quarantine if you can, and wash

635
00:36:37,160 --> 00:36:38,840
Speaker 1: your hands a lot. That's what I want to know.

636
00:36:38,840 --> 00:36:41,680
Speaker 1: I want to know what the answers are here. Thanks

637
00:36:41,680 --> 00:36:44,840
Speaker 1: for listening to the bus sets and show podcasts. Remember

638
00:36:44,880 --> 00:36:48,239
Speaker 1: to subscribe on Apple podcasts, the iHeart Radio app, or

639
00:36:48,239 --> 00:36:52,799
Speaker 1: wherever you get your podcasts. Democrats, they don't want to

640
00:36:52,800 --> 00:36:54,719
Speaker 1: come back. They don't want to come back. I think

641
00:36:54,760 --> 00:36:56,760
Speaker 1: they should be back here, but they don't. They're enjoying

642
00:36:56,800 --> 00:37:00,399
Speaker 1: their vacation and they shouldn't be there at different and yeah,

643
00:37:00,440 --> 00:37:01,960
Speaker 1: I think they are. I think they are. If you

644
00:37:02,040 --> 00:37:05,759
Speaker 1: look at Nancy Pelosi eating ice cream on late night television, yeah,

645
00:37:05,760 --> 00:37:07,600
Speaker 1: I think they probably are. They having a good time.

646
00:37:08,520 --> 00:37:10,239
Speaker 1: I think they should be back. I think they should

647
00:37:10,280 --> 00:37:12,680
Speaker 1: all come back and we should work on this together.

648
00:37:14,280 --> 00:37:19,360
Speaker 1: President calling out Congress for being amia during this whole situation.

649
00:37:19,480 --> 00:37:23,680
Speaker 1: Nancy Pelosi certainly has no sense of urgency to help

650
00:37:23,680 --> 00:37:28,080
Speaker 1: the American people. We're now seeing that the early warnings

651
00:37:28,120 --> 00:37:31,600
Speaker 1: about how they'll be there'll be a lack of incentive

652
00:37:32,120 --> 00:37:35,040
Speaker 1: for workers who have been a furloughed or lost their job.

653
00:37:35,080 --> 00:37:37,240
Speaker 1: Well lost their jobs, they've been fired at their furloughed

654
00:37:37,239 --> 00:37:39,480
Speaker 1: I don't think they qualify for this, but there's a

655
00:37:39,920 --> 00:37:41,880
Speaker 1: lack of incentive for them to go back to work

656
00:37:42,200 --> 00:37:45,719
Speaker 1: because they prefer to get the state benefits plus six

657
00:37:45,840 --> 00:37:49,120
Speaker 1: hundred dollars of federal sweetener that was added into it

658
00:37:49,120 --> 00:37:51,680
Speaker 1: for the paycheck protection program. Now, look, I'm I'm not

659
00:37:51,719 --> 00:37:54,319
Speaker 1: about to sit here and say that workers who need

660
00:37:54,320 --> 00:37:56,960
Speaker 1: this money, you know, oh there, they're a bunch of

661
00:37:57,000 --> 00:37:59,160
Speaker 1: fat cats now or anything like that. That's crazy. But

662
00:38:00,600 --> 00:38:02,960
Speaker 1: they did structure this in such a way that Congress

663
00:38:03,000 --> 00:38:07,719
Speaker 1: did make this paycheck Protection program function so that it

664
00:38:07,920 --> 00:38:11,879
Speaker 1: is it is just people acting in their interests, saying

665
00:38:12,080 --> 00:38:14,680
Speaker 1: I'd rather stay and have no exposure to the virus,

666
00:38:15,120 --> 00:38:17,840
Speaker 1: stay home, not go back to work and make more money.

667
00:38:18,480 --> 00:38:21,160
Speaker 1: People are getting paid right now. I mean workers who

668
00:38:21,160 --> 00:38:24,279
Speaker 1: were used to making about fifteen dollars an hour. When

669
00:38:24,320 --> 00:38:27,880
Speaker 1: they look at the full scale of their salary now,

670
00:38:27,960 --> 00:38:30,239
Speaker 1: or rather their full take home pay, they're making a

671
00:38:30,360 --> 00:38:33,759
Speaker 1: thousand dollars a week to not work. Producer Mark. I

672
00:38:33,760 --> 00:38:36,480
Speaker 1: know a lot of people who if they could do

673
00:38:36,680 --> 00:38:39,560
Speaker 1: literally nothing and just do whatever they want, and we're

674
00:38:39,560 --> 00:38:41,879
Speaker 1: going to get a thousand dollars a week, and then

675
00:38:41,880 --> 00:38:44,319
Speaker 1: they knew that there would be jobs probably waiting for

676
00:38:44,400 --> 00:38:47,080
Speaker 1: them when that money ran out, because everyone's gonna be

677
00:38:47,120 --> 00:38:49,319
Speaker 1: looking for jobs. I think a lot of people would

678
00:38:49,320 --> 00:38:51,879
Speaker 1: stay home. I don't think that would be hard to find. Yeah,

679
00:38:51,920 --> 00:38:54,480
Speaker 1: well I wouldn't. They get paid to do nothing. Has

680
00:38:54,520 --> 00:38:56,359
Speaker 1: more money than I was making my first few years

681
00:38:56,400 --> 00:38:58,799
Speaker 1: at the CIA. I wasn't making a thousand dollars a week,

682
00:38:59,440 --> 00:39:02,239
Speaker 1: so even not even close. Really, well, I mean, I

683
00:39:02,239 --> 00:39:04,640
Speaker 1: guess WHOA Sorry, I just smacked the microphone. I guess

684
00:39:04,640 --> 00:39:06,719
Speaker 1: it's I was having a little bit of a flashback

685
00:39:06,760 --> 00:39:11,400
Speaker 1: to being a federal federal bureaucrat and it was getting

686
00:39:11,400 --> 00:39:13,439
Speaker 1: me a little upset. But yeah, I know it's it's

687
00:39:14,200 --> 00:39:16,359
Speaker 1: this is the bill is functioning the way that it's

688
00:39:16,400 --> 00:39:19,160
Speaker 1: supposed to. And guess what, it's functioning in such a

689
00:39:19,160 --> 00:39:21,440
Speaker 1: way that people don't want to go back and do

690
00:39:21,520 --> 00:39:24,560
Speaker 1: their jobs, which is making the slowdown in the economy

691
00:39:24,600 --> 00:39:29,760
Speaker 1: even worse. Remember, there's there's the there's all these different

692
00:39:29,800 --> 00:39:32,319
Speaker 1: components that are not getting any focus right now. The

693
00:39:32,360 --> 00:39:36,279
Speaker 1: businesses that are going to go bankrupt, the industries that

694
00:39:36,440 --> 00:39:38,200
Speaker 1: are going to have a really hard time coming back

695
00:39:38,239 --> 00:39:40,880
Speaker 1: even when they're technically allowed to when the lockdowns end.

696
00:39:41,440 --> 00:39:44,799
Speaker 1: You know, restaurants operating at twenty five percent capacity means

697
00:39:44,800 --> 00:39:48,680
Speaker 1: you're gonna have a whole lot fewer restaurants opening, especially

698
00:39:48,719 --> 00:39:51,320
Speaker 1: in places like New York, which means, you know, tens

699
00:39:51,320 --> 00:39:53,920
Speaker 1: of thousands of jobs are dependent on that. I mean,

700
00:39:53,920 --> 00:39:56,080
Speaker 1: the service industry I think is about one in ten

701
00:39:56,160 --> 00:40:00,560
Speaker 1: jobs in general in this country, and even be I

702
00:40:00,560 --> 00:40:02,719
Speaker 1: think retail might be one in ten. Service industry is

703
00:40:02,760 --> 00:40:04,719
Speaker 1: also something like one intent producer, Mark, take a look

704
00:40:04,719 --> 00:40:07,160
Speaker 1: and tell me what the service industry breakdown is and

705
00:40:07,239 --> 00:40:12,120
Speaker 1: what the retail industry is, because also retail, I think

706
00:40:12,120 --> 00:40:13,879
Speaker 1: a lot of folks are going to say, Okay, well

707
00:40:15,280 --> 00:40:16,759
Speaker 1: do I really want to go to a store if

708
00:40:16,800 --> 00:40:18,520
Speaker 1: I can just have things delivered to my house at

709
00:40:18,520 --> 00:40:21,000
Speaker 1: this point, which had already been happening for a long time,

710
00:40:21,040 --> 00:40:24,160
Speaker 1: But are you going to go to a store if

711
00:40:24,200 --> 00:40:26,799
Speaker 1: you have to wear a mask. Don't have to wear

712
00:40:26,800 --> 00:40:29,359
Speaker 1: a mask. Sitting around with Amazon on your lap or

713
00:40:29,400 --> 00:40:32,279
Speaker 1: with your laptop open to Amazon, don't have to don't

714
00:40:32,280 --> 00:40:33,560
Speaker 1: have to wear a mask for that, at least not

715
00:40:33,640 --> 00:40:36,799
Speaker 1: yet until the crazy Libs get ahold of it. Oh man,

716
00:40:36,840 --> 00:40:39,799
Speaker 1: And that brings me to the Oh, there's so much

717
00:40:39,800 --> 00:40:42,000
Speaker 1: more here. That brings me to the latest, which is

718
00:40:42,040 --> 00:40:45,319
Speaker 1: that Mike Pence was at the Mayo clinic and was

719
00:40:45,320 --> 00:40:48,280
Speaker 1: not wearing a mask, and now we have Pence mask Gate.

720
00:40:48,880 --> 00:40:53,600
Speaker 1: Mike Pence is terrible. What has he done? You know?

721
00:40:53,880 --> 00:40:56,600
Speaker 1: Was Pence? Was he nuzzling anybody? Was he coughing in

722
00:40:56,680 --> 00:41:00,839
Speaker 1: anybody's face? You know? The mask thing is a precaution

723
00:41:01,600 --> 00:41:06,000
Speaker 1: and it's not you know, you would think that they

724
00:41:06,000 --> 00:41:08,960
Speaker 1: could understand that. The Vice president when he's making a

725
00:41:09,000 --> 00:41:13,279
Speaker 1: public appearance. Here you go retail Wow, Brucer Mark on

726
00:41:13,320 --> 00:41:17,120
Speaker 1: the spot here. Retail and service workers make up about

727
00:41:17,160 --> 00:41:20,560
Speaker 1: thirty two percent of the workforce. So I was saying

728
00:41:20,560 --> 00:41:23,080
Speaker 1: about ten percent and about ten percent I was right,

729
00:41:23,239 --> 00:41:25,680
Speaker 1: but a little low on the low end. It's more

730
00:41:25,719 --> 00:41:32,080
Speaker 1: like thirty percent. Retail and service. That's where the jobs are, folks,

731
00:41:32,080 --> 00:41:34,600
Speaker 1: That's where a lot of the jobs across the country

732
00:41:34,640 --> 00:41:38,239
Speaker 1: come from. And those businesses are they are they ever

733
00:41:38,360 --> 00:41:41,400
Speaker 1: really coming back? What are we going to do? The

734
00:41:41,480 --> 00:41:46,440
Speaker 1: Democrats are also going to say, with any bailout for airlines,

735
00:41:46,520 --> 00:41:48,719
Speaker 1: with any bailout, I mean, the cruise ship industry is

736
00:41:48,760 --> 00:41:51,560
Speaker 1: getting a bailout. Like, I'm not a cruise ship guy,

737
00:41:51,640 --> 00:41:53,239
Speaker 1: so I can't say i'm but I understand a lot

738
00:41:53,239 --> 00:41:54,880
Speaker 1: of people work very hard in it, and you know

739
00:41:54,920 --> 00:41:57,040
Speaker 1: that they need to feed their families and everything else.

740
00:41:57,160 --> 00:42:00,879
Speaker 1: But I don't know if that's a business that's gonna work.

741
00:42:01,360 --> 00:42:03,399
Speaker 1: I've thought, you know, I had read enough of these

742
00:42:03,400 --> 00:42:07,000
Speaker 1: stories about you know, neurovirus outbreaks and these other things,

743
00:42:07,080 --> 00:42:09,080
Speaker 1: and I think, I don't know if Coxsacki virus was

744
00:42:09,120 --> 00:42:12,400
Speaker 1: one of but they'd have these these outbreaks of like

745
00:42:12,440 --> 00:42:14,840
Speaker 1: a stomach illness effectively a stomach you call it a

746
00:42:14,840 --> 00:42:17,040
Speaker 1: stomach flu, even though I don't think it's a flu,

747
00:42:17,960 --> 00:42:20,160
Speaker 1: and they'd have these on these ships and it would

748
00:42:20,200 --> 00:42:22,120
Speaker 1: just turn into a giant floating peatree dish. And that

749
00:42:22,200 --> 00:42:24,640
Speaker 1: was before COVID nineteen. So I'm not a cruise guy.

750
00:42:24,680 --> 00:42:27,120
Speaker 1: Producer Mark has actually done a cruise. You liked it, right,

751
00:42:27,160 --> 00:42:28,920
Speaker 1: You said it was good. Yeah, I enjoyed it. I

752
00:42:28,960 --> 00:42:30,960
Speaker 1: don't know, well, you know, I have one scheduled for December.

753
00:42:31,160 --> 00:42:32,560
Speaker 1: I don't know if I'm going on it right now.

754
00:42:32,880 --> 00:42:34,560
Speaker 1: I see that. You're a perfect example. What I mean,

755
00:42:34,840 --> 00:42:36,480
Speaker 1: even if they say, oh no, Mark, it's fine, You're

756
00:42:36,480 --> 00:42:38,360
Speaker 1: allowed to go on your cruise. You're gonna get your

757
00:42:38,400 --> 00:42:39,920
Speaker 1: money back. You're gonna go on that cruise as of

758
00:42:40,000 --> 00:42:43,439
Speaker 1: right now, this second, I'm getting my money back. Yeah,

759
00:42:43,440 --> 00:42:46,120
Speaker 1: that's what I figured. Yeah, And I like, I can't

760
00:42:46,600 --> 00:42:48,160
Speaker 1: can't argue with that. I mean, I would do the

761
00:42:48,200 --> 00:42:50,000
Speaker 1: same thing if I were if I were in that out.

762
00:42:50,239 --> 00:42:53,400
Speaker 1: I had actually put down a deposit to go to

763
00:42:53,520 --> 00:42:59,319
Speaker 1: a beach um in December for my birthday, and I'm

764
00:42:59,320 --> 00:43:01,960
Speaker 1: hoping I might still be able to go, but who knows.

765
00:43:02,040 --> 00:43:04,120
Speaker 1: I mean, the world is crazy right now and everyone's

766
00:43:04,760 --> 00:43:07,960
Speaker 1: we're all just being fed such a such an overwhelming

767
00:43:08,120 --> 00:43:11,880
Speaker 1: diet of fear. But oh no, don't worry that the

768
00:43:11,960 --> 00:43:14,120
Speaker 1: Democrats have got all this covered. And that's why they're

769
00:43:14,200 --> 00:43:19,279
Speaker 1: yelling about Pence and about about how Trump is a

770
00:43:19,280 --> 00:43:24,120
Speaker 1: conspiracy theorist. Pence isn't wearing a mask playing here's fake

771
00:43:24,719 --> 00:43:27,919
Speaker 1: Republican Nicole Wallace. These people I just want to note,

772
00:43:27,960 --> 00:43:30,600
Speaker 1: and I just let me say this before I get

773
00:43:30,640 --> 00:43:32,960
Speaker 1: as I've always told you, and I'm honest with you

774
00:43:33,040 --> 00:43:35,479
Speaker 1: about whatever mine, whatever my rules are for this show.

775
00:43:35,520 --> 00:43:38,319
Speaker 1: I don't trash friends of mine and so people that

776
00:43:38,360 --> 00:43:40,200
Speaker 1: I am friends with and have known for years, even

777
00:43:40,200 --> 00:43:43,120
Speaker 1: when they have gone to the dark side, even when

778
00:43:43,160 --> 00:43:47,279
Speaker 1: they have betrayed the team so to speak, or at

779
00:43:47,360 --> 00:43:50,160
Speaker 1: least Republican team. I don't mean team Buck. That's different.

780
00:43:50,200 --> 00:43:51,880
Speaker 1: You know, someone cross the swords of the publicly, then

781
00:43:51,880 --> 00:43:54,560
Speaker 1: it's fair game. But if someone decides that they're going

782
00:43:54,600 --> 00:43:58,560
Speaker 1: to be, you know, an ideological turncoat, I will not

783
00:43:58,680 --> 00:44:00,560
Speaker 1: trash them if they're my friend the show. Just so

784
00:44:00,600 --> 00:44:01,920
Speaker 1: you know that, because some of you always reach out

785
00:44:01,960 --> 00:44:03,640
Speaker 1: to me, what about so and so, and I'm like, uh,

786
00:44:04,040 --> 00:44:06,520
Speaker 1: you know, look back into my past. You can generally

787
00:44:06,520 --> 00:44:08,440
Speaker 1: tell who in the media business I'm pretty cozy with

788
00:44:08,520 --> 00:44:10,920
Speaker 1: and and I. But I'm but see, I'm honest with

789
00:44:10,960 --> 00:44:12,000
Speaker 1: you about that. The same way that I tell you

790
00:44:12,080 --> 00:44:13,799
Speaker 1: that I'm not doing neutral reports here that I have

791
00:44:13,800 --> 00:44:17,360
Speaker 1: an opinion. I also do not trash. I will not

792
00:44:17,440 --> 00:44:20,000
Speaker 1: ever lie about any of my friends or or promote

793
00:44:20,000 --> 00:44:21,920
Speaker 1: people that I think don't deserve it or anything like that.

794
00:44:22,120 --> 00:44:25,279
Speaker 1: But I will not attack them unless they attack me,

795
00:44:26,360 --> 00:44:30,880
Speaker 1: and which unfortunately does occasionally happen too. But some of

796
00:44:30,920 --> 00:44:33,239
Speaker 1: these former Nicole Wallace is not I've never met her,

797
00:44:33,280 --> 00:44:35,600
Speaker 1: don't know her, and you know, she seems like a horrible, smug,

798
00:44:35,680 --> 00:44:39,000
Speaker 1: nasty person who's not really good at anything. And there's

799
00:44:39,000 --> 00:44:41,120
Speaker 1: a lot of that in the Bush administration. You look back,

800
00:44:41,440 --> 00:44:47,680
Speaker 1: the Bush administration had a lot of really really impressive,

801
00:44:47,760 --> 00:44:51,880
Speaker 1: unimpressive folks. Um and you know, there's the early early

802
00:44:51,960 --> 00:44:55,120
Speaker 1: stage Trump administration. Anyone want to argue with me about

803
00:44:55,160 --> 00:44:59,399
Speaker 1: the bad choices made there because Michael Cohen called and

804
00:44:59,480 --> 00:45:01,200
Speaker 1: he wants a charge you, Oh, oh, he can't charge

805
00:45:01,200 --> 00:45:02,680
Speaker 1: you eight hundred dollars an hour, and he works. I

806
00:45:02,719 --> 00:45:05,319
Speaker 1: think he lost his law license. There's some very bad

807
00:45:05,400 --> 00:45:07,359
Speaker 1: choices made there too. Just because someone who works from

808
00:45:07,360 --> 00:45:09,800
Speaker 1: an administration doesn't mean they have anything worthwhile to offer

809
00:45:09,920 --> 00:45:12,759
Speaker 1: or worthwhile to say. And I think it's important that

810
00:45:12,800 --> 00:45:17,960
Speaker 1: all of us remember that. But here is Nicole Wallace

811
00:45:18,200 --> 00:45:22,560
Speaker 1: over at MSNBC just doing what she expects she's supposed

812
00:45:22,600 --> 00:45:25,160
Speaker 1: to do, which is just feed the MSNBC audience of

813
00:45:25,400 --> 00:45:32,360
Speaker 1: poorly informed, ideologically brainwashed lives a steady diet of Trump

814
00:45:32,400 --> 00:45:36,200
Speaker 1: Pence hatred. And so she serves that up with Glee

815
00:45:36,239 --> 00:45:39,360
Speaker 1: play nine, the second most powerful man in the world,

816
00:45:39,800 --> 00:45:43,759
Speaker 1: revealing himself in this video as a coronavirus truther, or

817
00:45:43,760 --> 00:45:47,120
Speaker 1: at least a mask truther. He's also much closer than

818
00:45:47,160 --> 00:45:49,560
Speaker 1: six feet. I mean, to touch an elbow, you have

819
00:45:49,680 --> 00:45:52,880
Speaker 1: to touch something, So he's closer than six feet. And

820
00:45:53,360 --> 00:45:55,719
Speaker 1: forget that he's the vice president. This is the kind

821
00:45:55,760 --> 00:45:58,240
Speaker 1: of hu human being that repels me in the grocery

822
00:45:58,280 --> 00:46:00,160
Speaker 1: store of the Walmart. I mean, I don't want to

823
00:46:00,200 --> 00:46:03,480
Speaker 1: be that close to anybody while we're still at this

824
00:46:03,560 --> 00:46:06,920
Speaker 1: phase of the pandemic. So the president and vice President

825
00:46:07,000 --> 00:46:12,800
Speaker 1: have really revealed themselves as this wacky combination of conspiracy theorists,

826
00:46:13,640 --> 00:46:18,319
Speaker 1: quack medical proponents, and truthers. He either doesn't believe that

827
00:46:18,400 --> 00:46:21,520
Speaker 1: the mask is keeping people safe or he doesn't think

828
00:46:21,520 --> 00:46:24,359
Speaker 1: that rule applies to him. And the danger here isn't

829
00:46:24,400 --> 00:46:26,200
Speaker 1: that people like your meal see that and not wear

830
00:46:26,280 --> 00:46:31,200
Speaker 1: our masks. There's so much wrong and so much stupid

831
00:46:31,200 --> 00:46:34,400
Speaker 1: there that I don't even really have time to go

832
00:46:34,480 --> 00:46:36,799
Speaker 1: over it. I would just say a few things. One is,

833
00:46:36,840 --> 00:46:39,239
Speaker 1: the vice president has been tested already numerous times for

834
00:46:39,280 --> 00:46:42,560
Speaker 1: COVID nineteen. He is negative, so it's not a lot

835
00:46:42,600 --> 00:46:44,279
Speaker 1: of us could be walking around. I could be an

836
00:46:44,280 --> 00:46:46,719
Speaker 1: asymptomatic carrier right now, and I would have no way

837
00:46:46,760 --> 00:46:50,320
Speaker 1: of knowing percentage wise. And this is all about risk,

838
00:46:50,600 --> 00:46:53,880
Speaker 1: It's all about percentages, it's all about likelihood. The percentage

839
00:46:53,960 --> 00:46:56,280
Speaker 1: chance that somebody who in the last couple of weeks

840
00:46:56,880 --> 00:46:59,640
Speaker 1: has been tested in is negative for COVID nineteen now

841
00:47:00,200 --> 00:47:03,440
Speaker 1: to have COVID nineteen and is really and is asymptomatic

842
00:47:03,680 --> 00:47:08,240
Speaker 1: is very very low. You know that the vice president

843
00:47:08,239 --> 00:47:11,040
Speaker 1: would have picked this up after being negative until whatever

844
00:47:11,040 --> 00:47:12,480
Speaker 1: it was a week or two ago when he had

845
00:47:12,480 --> 00:47:17,920
Speaker 1: his last test strikes me as highly implausible. And no

846
00:47:17,960 --> 00:47:20,839
Speaker 1: one's wearing masks all the time in all circumstances. There's

847
00:47:20,880 --> 00:47:23,000
Speaker 1: no such thing as perfect security. There's no such thing

848
00:47:23,000 --> 00:47:25,600
Speaker 1: as perfect protection from the virus. So what the heck

849
00:47:25,680 --> 00:47:30,200
Speaker 1: is in Nicole the idiot wallast talking about here? They're truthers.

850
00:47:30,200 --> 00:47:33,759
Speaker 1: What does that mean they don't believe the virus is real? MSNBC.

851
00:47:33,960 --> 00:47:36,280
Speaker 1: You can make a really fun montage and it's really

852
00:47:36,320 --> 00:47:39,640
Speaker 1: in retrospect tragic. But you can make a montage as

853
00:47:39,640 --> 00:47:42,000
Speaker 1: I'm saying, the virus is fine, it's no big deal,

854
00:47:42,120 --> 00:47:44,040
Speaker 1: you know, And then when we all found out it

855
00:47:44,120 --> 00:47:46,719
Speaker 1: was going to be much worse than anticipated. Now it's

856
00:47:46,760 --> 00:47:49,959
Speaker 1: all Trump's fault, which is the single most important thing

857
00:47:50,440 --> 00:47:53,520
Speaker 1: that the media can focus on now, Not stories about

858
00:47:53,560 --> 00:47:55,960
Speaker 1: therapeutics that maybe you're going to save a lot of lives,

859
00:47:56,280 --> 00:48:00,279
Speaker 1: not getting everyone ready for the psychological burden of having

860
00:48:00,320 --> 00:48:03,040
Speaker 1: to accept the risk of being out there and going

861
00:48:03,280 --> 00:48:07,120
Speaker 1: back to work, being involved in day to day life

862
00:48:07,200 --> 00:48:13,040
Speaker 1: in a way that is not continuous, endless shutdown. Instead

863
00:48:13,040 --> 00:48:16,080
Speaker 1: of the press rising to this occasion, they've gotten worse,

864
00:48:16,600 --> 00:48:18,080
Speaker 1: worse than they've ever been. And then you have the

865
00:48:18,080 --> 00:48:23,000
Speaker 1: Democrats who no surprise that they are still disgraceful, I

866
00:48:23,040 --> 00:48:25,960
Speaker 1: mean completely disgraceful on this topic, and that's not going

867
00:48:26,000 --> 00:48:31,359
Speaker 1: to change anytime soon. You're in the freedom hunt. This

868
00:48:31,480 --> 00:48:38,080
Speaker 1: is the Buck Sex and Show podcast. The Washington Post

869
00:48:38,160 --> 00:48:41,720
Speaker 1: who have reported that the PDB, the President's Daily Brief,

870
00:48:41,840 --> 00:48:44,520
Speaker 1: was sounding the alarms over the spread of COVID in

871
00:48:44,680 --> 00:48:48,960
Speaker 1: China and the lethal danger that it posed to Americans

872
00:48:49,000 --> 00:48:51,839
Speaker 1: as early as January. Were you aware of that at

873
00:48:51,840 --> 00:48:54,879
Speaker 1: the time. No, But I'll tell you this as an

874
00:48:54,920 --> 00:48:58,160
Speaker 1: intelligence person, I've over twenty five years experienced in the

875
00:48:58,200 --> 00:49:03,239
Speaker 1: intelligence community. The President daily briefing is just so very

876
00:49:03,320 --> 00:49:07,359
Speaker 1: important decision making and the rest. So what you've just

877
00:49:07,560 --> 00:49:12,440
Speaker 1: heard begs the question, what did the president know and

878
00:49:12,480 --> 00:49:16,239
Speaker 1: when did he know it? In addition to which the

879
00:49:16,360 --> 00:49:19,680
Speaker 1: scientists tell him and when did he tell them? Because actually,

880
00:49:19,760 --> 00:49:22,600
Speaker 1: as a matter of fact, this president has presided over

881
00:49:22,640 --> 00:49:26,000
Speaker 1: the worst disaster in our country's history, an assault on

882
00:49:26,040 --> 00:49:30,000
Speaker 1: the lives and the livelihood of livelihoods of the American people,

883
00:49:30,520 --> 00:49:36,080
Speaker 1: and they did so by neglect of information, also denial

884
00:49:36,200 --> 00:49:39,839
Speaker 1: and delay in accepting the facts. That's going to be

885
00:49:39,920 --> 00:49:43,480
Speaker 1: the pitch for why the American people should vote for

886
00:49:43,800 --> 00:49:48,400
Speaker 1: unimpressive buffoon Biden and credibly accused of sexual assault buffoon

887
00:49:48,480 --> 00:49:51,000
Speaker 1: Biden in the fall, that Trump has presided over the

888
00:49:51,000 --> 00:49:53,239
Speaker 1: worst disaster in the history of this country, and it's

889
00:49:53,239 --> 00:49:55,319
Speaker 1: all his fault, and it's his fault because he didn't

890
00:49:55,320 --> 00:49:59,400
Speaker 1: listen to the experts, even though we have video of

891
00:49:59,440 --> 00:50:05,040
Speaker 1: the experts, including doctor Fauci, Saint Faucci himself, who was

892
00:50:05,080 --> 00:50:06,960
Speaker 1: telling us that this was not anything to be concerned

893
00:50:06,960 --> 00:50:10,680
Speaker 1: about in January and into February. So why would the

894
00:50:10,719 --> 00:50:14,520
Speaker 1: president have known? Differently, how would it be possible unless

895
00:50:14,560 --> 00:50:17,439
Speaker 1: Fauci was out lying to the American people, which would

896
00:50:17,440 --> 00:50:21,080
Speaker 1: be a whole separate problem. But this is just the

897
00:50:21,080 --> 00:50:24,000
Speaker 1: rewriting of history that will occur. They will lie about this,

898
00:50:24,760 --> 00:50:28,200
Speaker 1: they will scheme, they will omit, and they will have

899
00:50:28,239 --> 00:50:31,200
Speaker 1: the media doing their bidding all along. And that's the

900
00:50:31,239 --> 00:50:34,160
Speaker 1: Democrat plan to defeat Trump in the reelection. And they

901
00:50:34,160 --> 00:50:36,720
Speaker 1: are rooting for failure here with the reopening of the economy.

902
00:50:36,760 --> 00:50:39,560
Speaker 1: They are they would like to see real economic pain.

903
00:50:39,840 --> 00:50:42,640
Speaker 1: There were liberals you will recall, who were admitting that

904
00:50:42,640 --> 00:50:45,440
Speaker 1: they wanted a recession before all this happened, because it

905
00:50:45,440 --> 00:50:48,080
Speaker 1: would mean that Trump wouldn't win. In fact, and I

906
00:50:48,120 --> 00:50:50,719
Speaker 1: think that she would. She would back me up on

907
00:50:51,000 --> 00:50:53,239
Speaker 1: saying this. In the first weeks that I was doing

908
00:50:53,280 --> 00:50:57,000
Speaker 1: that show Rising at the Hill dot com, I told

909
00:50:57,000 --> 00:50:59,560
Speaker 1: my then co host Crystal Ball several times, I said, look,

910
00:51:00,400 --> 00:51:01,560
Speaker 1: you don't have to agree with me, and I'm just

911
00:51:01,600 --> 00:51:03,040
Speaker 1: saying she would back up that. I said this to

912
00:51:03,080 --> 00:51:04,680
Speaker 1: her many times. This is the only way Trump doesn't

913
00:51:04,680 --> 00:51:08,040
Speaker 1: win reelection is if we have a major recession that

914
00:51:08,120 --> 00:51:10,600
Speaker 1: hits a cyclical recession that has nothing to do with Trump,

915
00:51:10,640 --> 00:51:13,000
Speaker 1: which is really what this is in a sense, it's

916
00:51:13,040 --> 00:51:17,839
Speaker 1: not an economic recession or a cyclical economic recession. It's

917
00:51:17,840 --> 00:51:21,680
Speaker 1: a recession that has been caused by a you know,

918
00:51:21,960 --> 00:51:24,920
Speaker 1: the cycle of pandemics. Really, it's just a much longer

919
00:51:25,320 --> 00:51:28,120
Speaker 1: cycle than other things that we see with ten year

920
00:51:28,360 --> 00:51:29,840
Speaker 1: about every ten years you have some kind of a

921
00:51:29,880 --> 00:51:31,920
Speaker 1: correction in the market. Well, it looks like about every

922
00:51:32,000 --> 00:51:34,120
Speaker 1: hundred years we get hit with a really bad pandemic.

923
00:51:35,160 --> 00:51:37,200
Speaker 1: Although we had been hit with some bad ones in

924
00:51:37,239 --> 00:51:39,680
Speaker 1: the last ten years, that we should have last twenty years,

925
00:51:39,719 --> 00:51:41,720
Speaker 1: we should have paid closer attention to I think that's

926
00:51:42,320 --> 00:51:44,959
Speaker 1: clear at this point. But the Democrats don't have any

927
00:51:45,520 --> 00:51:47,759
Speaker 1: answers about how to make any of this stuff really better.

928
00:51:48,239 --> 00:51:51,759
Speaker 1: I thought this was interesting. Here's here's AOC the most

929
00:51:51,760 --> 00:51:55,640
Speaker 1: famous and most ignorant Democrat congress person I think right now.

930
00:51:55,719 --> 00:51:58,680
Speaker 1: Certainly if you add those two together, points for ignorance

931
00:51:58,680 --> 00:52:03,799
Speaker 1: and points for famousness she is. She's both shockingly ignorant

932
00:52:03,800 --> 00:52:08,520
Speaker 1: and very very prominent in left wing media. Here's what

933
00:52:08,600 --> 00:52:13,440
Speaker 1: she says. Played nineteen, mass unemployment in the United States

934
00:52:13,880 --> 00:52:18,319
Speaker 1: was a choice. We had policy options in front of us,

935
00:52:18,640 --> 00:52:23,240
Speaker 1: and we could have guaranteed payrolls in the United States

936
00:52:23,239 --> 00:52:26,000
Speaker 1: of America to prevent any person from losing their job

937
00:52:26,040 --> 00:52:29,080
Speaker 1: due to coronavirus, And what did elected officials do? What

938
00:52:29,160 --> 00:52:32,480
Speaker 1: did Mitch McConnell do, What did Donald Trump do? They

939
00:52:32,680 --> 00:52:36,160
Speaker 1: chose not to do that. So these are not things

940
00:52:36,160 --> 00:52:40,840
Speaker 1: that happened by accident. Unemployment is not happening by accident.

941
00:52:41,280 --> 00:52:44,320
Speaker 1: I just would want to know what her response would

942
00:52:44,320 --> 00:52:48,040
Speaker 1: have been. Then. It seems that I think we'll get

943
00:52:48,080 --> 00:52:50,080
Speaker 1: to if somebody does drilled down on this with AOC

944
00:52:50,360 --> 00:52:53,480
Speaker 1: if she's even thought this through, is that the government

945
00:52:53,520 --> 00:52:56,120
Speaker 1: just should have started paying people directly instead of trying

946
00:52:56,120 --> 00:52:59,400
Speaker 1: to pay people through their employer. But that would have

947
00:52:59,400 --> 00:53:02,400
Speaker 1: been even more complicated, wouldn't We saw them run out

948
00:53:02,440 --> 00:53:05,480
Speaker 1: of money, We saw that there were log jams that happened.

949
00:53:06,800 --> 00:53:09,960
Speaker 1: But also we don't want the government to be paying

950
00:53:10,000 --> 00:53:12,439
Speaker 1: people with money that is being debased in real time,

951
00:53:12,480 --> 00:53:15,080
Speaker 1: being devalued in real time because there is no productivity

952
00:53:15,120 --> 00:53:19,600
Speaker 1: behind it. We're now all just running this massive experiment

953
00:53:20,000 --> 00:53:23,040
Speaker 1: on does money have value? What is the value of

954
00:53:23,080 --> 00:53:26,040
Speaker 1: money if there is nothing other than the full faith

955
00:53:26,040 --> 00:53:28,520
Speaker 1: and credit of the United States Government to back that up? Well,

956
00:53:28,520 --> 00:53:30,560
Speaker 1: the full faith and credit of the United States Government

957
00:53:30,600 --> 00:53:32,400
Speaker 1: is worth what it is because of what all of

958
00:53:32,480 --> 00:53:36,600
Speaker 1: us do day to day. It's not just value because

959
00:53:36,600 --> 00:53:39,840
Speaker 1: the government says its value. There is something behind that promise.

960
00:53:40,160 --> 00:53:43,000
Speaker 1: There is the creation of products and the provision of

961
00:53:43,040 --> 00:53:47,319
Speaker 1: goods and services. There's intellectual property there. You know, there

962
00:53:47,360 --> 00:53:49,880
Speaker 1: are holdings of real estate and factories, and you know

963
00:53:49,920 --> 00:53:54,160
Speaker 1: there is an economy behind the currency. And right now

964
00:53:54,160 --> 00:53:56,000
Speaker 1: we're testing out how far can we stretch the a

965
00:53:56,080 --> 00:54:00,279
Speaker 1: currency without the currency without having an underlying economy to

966
00:54:00,360 --> 00:54:03,680
Speaker 1: back up what we're doing with the currency. This is

967
00:54:03,719 --> 00:54:06,440
Speaker 1: if you told somebody before this all happened that this

968
00:54:06,520 --> 00:54:08,080
Speaker 1: was the government's plan for all, but I think they

969
00:54:08,080 --> 00:54:12,800
Speaker 1: would be terrified because we are playing with fire, dancing

970
00:54:12,880 --> 00:54:16,719
Speaker 1: around a whole bunch of gasoline canisters. That's what we're

971
00:54:16,760 --> 00:54:18,560
Speaker 1: doing with the economy right now. It is a terrible,

972
00:54:19,280 --> 00:54:22,319
Speaker 1: terrible risk we are taking. By the time, Look, did

973
00:54:22,320 --> 00:54:24,520
Speaker 1: any you know people didn't see the financial meltdown in

974
00:54:24,560 --> 00:54:27,440
Speaker 1: two thousand and eight, which they told us could have

975
00:54:27,560 --> 00:54:30,719
Speaker 1: could have destroyed the global economy, and all the experts

976
00:54:30,760 --> 00:54:32,680
Speaker 1: and all the FED chair and they didn't see that.

977
00:54:33,640 --> 00:54:35,279
Speaker 1: You're gonna tell me that they've got this whole thing

978
00:54:35,320 --> 00:54:37,160
Speaker 1: worked out right now and they have to listen to

979
00:54:37,200 --> 00:54:41,760
Speaker 1: people like Pelosi and AOC and Pelosi is just the worst,

980
00:54:42,360 --> 00:54:51,239
Speaker 1: the worst, blaming Trump, pretending intelligence. Pelosi is an imbecile. Oh,

981
00:54:51,280 --> 00:54:53,279
Speaker 1: I know, she's powerful and she's rich. They're a lot

982
00:54:53,320 --> 00:54:55,520
Speaker 1: of dumb, powerful, rich people. A lot of them work

983
00:54:55,520 --> 00:54:58,440
Speaker 1: in media. Actually, in fact, I think some of the

984
00:54:58,480 --> 00:55:00,880
Speaker 1: dumbest are also some of the rich, the most powerful.

985
00:55:01,160 --> 00:55:04,239
Speaker 1: It's true at Congress too. Thanks for listening to the

986
00:55:04,400 --> 00:55:08,759
Speaker 1: Bus Show podcast. Remember to subscribe on Apple podcast, the

987
00:55:08,840 --> 00:55:13,279
Speaker 1: iHeart Radio app, or wherever you get your podcasts. Well,

988
00:55:13,280 --> 00:55:18,120
Speaker 1: look at this. We've got Justin Amash, congressman who's now

989
00:55:18,200 --> 00:55:20,840
Speaker 1: going to be running as a third party candidate or

990
00:55:20,880 --> 00:55:23,839
Speaker 1: has has has been toying with this idea and now

991
00:55:23,920 --> 00:55:27,640
Speaker 1: looks like what he's launched a He's launched the Exploratory

992
00:55:27,680 --> 00:55:31,280
Speaker 1: Committee right the step right before one runs for president

993
00:55:31,320 --> 00:55:35,120
Speaker 1: as a Libertarian Party candidate. The Washington Post headline here

994
00:55:35,200 --> 00:55:37,520
Speaker 1: tells you a lot about what they're thinking. Justin Amash

995
00:55:37,520 --> 00:55:40,040
Speaker 1: could have a big impact on the twenty twenty presidential race.

996
00:55:40,160 --> 00:55:46,920
Speaker 1: But how well. Justin Amash is a on the issue

997
00:55:47,080 --> 00:55:51,600
Speaker 1: of civil liberties and surveillance, and the deep state has

998
00:55:51,600 --> 00:55:54,759
Speaker 1: shown himself to be a fraud. He was all in

999
00:55:54,840 --> 00:55:57,160
Speaker 1: on the Russia collusion hoak stuff. He couldn't see through

1000
00:55:57,200 --> 00:55:58,680
Speaker 1: that at all and had no problem with what was

1001
00:55:58,719 --> 00:56:01,919
Speaker 1: going on, had no problem with the FI acting as

1002
00:56:01,960 --> 00:56:05,920
Speaker 1: a weapon as an instrument of Democratic Party political control.

1003
00:56:07,480 --> 00:56:10,560
Speaker 1: In fact, he was a cheerleader for it. He was

1004
00:56:10,600 --> 00:56:15,000
Speaker 1: fine with it. Completely utterly wrong on Russian coclusion, as

1005
00:56:15,040 --> 00:56:18,560
Speaker 1: we see now also from not just the additional information

1006
00:56:18,560 --> 00:56:20,560
Speaker 1: that's come out from the Inspector General report, but also

1007
00:56:21,080 --> 00:56:24,719
Speaker 1: what we now know from additional disclosure in the case

1008
00:56:24,760 --> 00:56:28,520
Speaker 1: against General Michael Flynn, where he was set up, which

1009
00:56:28,560 --> 00:56:31,040
Speaker 1: I've been telling you for years, it was very obvious.

1010
00:56:31,520 --> 00:56:33,360
Speaker 1: You don't send in the FBI to talk to the

1011
00:56:33,400 --> 00:56:37,960
Speaker 1: National Security Advisor about the Logan Act unless you're desperate

1012
00:56:37,960 --> 00:56:42,040
Speaker 1: to concoct some scheme to come up with a criminal

1013
00:56:42,120 --> 00:56:44,719
Speaker 1: charge against him, which is which is exactly what they did.

1014
00:56:44,719 --> 00:56:47,000
Speaker 1: And it was the Obama administration on the way out,

1015
00:56:47,760 --> 00:56:50,920
Speaker 1: lashing out at Trump and his people for beating Hillary

1016
00:56:51,160 --> 00:56:53,160
Speaker 1: and taking power out of the hands of the Democrats

1017
00:56:54,000 --> 00:56:59,040
Speaker 1: and people that ideologically and psychologically and emotionally identify with

1018
00:56:59,080 --> 00:57:02,560
Speaker 1: the Democratic Party, irrespective of whether they say they're nonpartisan,

1019
00:57:03,239 --> 00:57:06,040
Speaker 1: but who work at the FBI and the DOJ. Never

1020
00:57:06,080 --> 00:57:09,160
Speaker 1: mind the appointees who are clearly partisans that Obama put

1021
00:57:09,200 --> 00:57:12,760
Speaker 1: in place. They took it upon themselves to abuse their power,

1022
00:57:12,800 --> 00:57:15,080
Speaker 1: to abuse the law, and to try and undo the

1023
00:57:15,120 --> 00:57:19,000
Speaker 1: election results of the twenty sixteen presidential That's what they did.

1024
00:57:20,400 --> 00:57:22,920
Speaker 1: And where was Amash, the civil libertarian and all that?

1025
00:57:23,520 --> 00:57:27,040
Speaker 1: Who knows? He was horrible on this issue. And I

1026
00:57:27,400 --> 00:57:29,960
Speaker 1: think that the number of people who care about this

1027
00:57:30,000 --> 00:57:33,360
Speaker 1: guy running is tiny. And this is where you start

1028
00:57:33,400 --> 00:57:35,480
Speaker 1: to hear from libertarians who you know, I like some

1029
00:57:35,520 --> 00:57:38,720
Speaker 1: libertarians on a personal level, but after a while, the

1030
00:57:39,600 --> 00:57:42,760
Speaker 1: he cares so much about liberty, the whole libertarian thing

1031
00:57:42,880 --> 00:57:45,200
Speaker 1: with the third party candidates can get a little bit tiresome.

1032
00:57:46,040 --> 00:57:49,400
Speaker 1: It can what are they really hoping to accomplish by

1033
00:57:49,440 --> 00:57:50,960
Speaker 1: doing this that one day they're going to win the

1034
00:57:50,960 --> 00:57:54,000
Speaker 1: election with somebody like this justin and mind, Look, this

1035
00:57:54,040 --> 00:57:55,920
Speaker 1: is this is an employ for attention. It's like that

1036
00:57:55,960 --> 00:57:58,040
Speaker 1: guy who used to be a concern, used to be

1037
00:57:58,080 --> 00:58:00,760
Speaker 1: a big Trump supporter and a conservative, and then he

1038
00:58:00,800 --> 00:58:03,760
Speaker 1: became a never Trumper and it's just just like desperate

1039
00:58:03,760 --> 00:58:05,640
Speaker 1: for attention. He's like one of these guys who ends

1040
00:58:05,720 --> 00:58:09,160
Speaker 1: up on you know, Big Brother seventeen or something, one

1041
00:58:09,160 --> 00:58:11,280
Speaker 1: of those reality shows where they have some guy who

1042
00:58:11,280 --> 00:58:13,840
Speaker 1: played some other guy in a sitcom in the nineties

1043
00:58:13,880 --> 00:58:16,240
Speaker 1: and then all of a sudden, he's, you know, wrestling

1044
00:58:16,240 --> 00:58:19,320
Speaker 1: people in jello on TV. Just you know, anything to

1045
00:58:19,400 --> 00:58:24,280
Speaker 1: get back in the public eye. Well, yeah, I don't know.

1046
00:58:24,920 --> 00:58:28,120
Speaker 1: Justin Amash is running. Whoo, that's gonna really be exciting

1047
00:58:28,160 --> 00:58:30,640
Speaker 1: for some people. I saw some editorials today about how

1048
00:58:31,240 --> 00:58:33,520
Speaker 1: this is really gonna matter. I think people are just

1049
00:58:33,640 --> 00:58:36,600
Speaker 1: desperate for political news of any kind because there's been

1050
00:58:37,120 --> 00:58:41,120
Speaker 1: so little of actual campaign politics to speak of, because

1051
00:58:41,120 --> 00:58:45,480
Speaker 1: the Democrat candidate is locked away in a bunker. You am,

1052
00:58:45,600 --> 00:58:48,440
Speaker 1: I'm running, running further. I'm running for the chief dog

1053
00:58:48,520 --> 00:58:51,400
Speaker 1: Catcher of Wichita. And my name is Joe Biden. And

1054
00:58:51,440 --> 00:58:52,960
Speaker 1: I don't know why I talk like this, but I

1055
00:58:53,000 --> 00:58:56,280
Speaker 1: get confused about where I am. And you know, my

1056
00:58:56,400 --> 00:58:59,160
Speaker 1: leg hairs are blonde and corn pop And I took

1057
00:58:59,160 --> 00:59:02,360
Speaker 1: out the rusty razor blade and I said, hold on

1058
00:59:02,400 --> 00:59:04,080
Speaker 1: a second, Hold on a second, man, I got this.

1059
00:59:04,560 --> 00:59:06,720
Speaker 1: I got these blonde leg hairs. I got a shave first.

1060
00:59:06,720 --> 00:59:09,120
Speaker 1: I mean, it's just so weird. The whole thing is

1061
00:59:09,120 --> 00:59:12,200
Speaker 1: so weird. But we don't have a lot of focus

1062
00:59:12,280 --> 00:59:14,800
Speaker 1: on politics. So anytime there's a political story, I think

1063
00:59:14,800 --> 00:59:17,880
Speaker 1: people that make a living doing that they seize on them.

1064
00:59:17,920 --> 00:59:19,400
Speaker 1: They say, oh wow, look at this. You know, now

1065
00:59:19,400 --> 00:59:22,560
Speaker 1: we have an opportunity finally to talk about something that

1066
00:59:22,680 --> 00:59:29,320
Speaker 1: is not that is not about COVID nineteen. But that's

1067
00:59:29,320 --> 00:59:33,000
Speaker 1: where we are, justin amash exploratory. Who cares, you know,

1068
00:59:33,040 --> 00:59:35,320
Speaker 1: I never I never liked this guy. I don't know.

1069
00:59:35,400 --> 00:59:37,880
Speaker 1: Always struck me. It's just kind of surly and self important.

1070
00:59:38,080 --> 00:59:41,400
Speaker 1: Not a fan, not a fan, never interviewed him, never

1071
00:59:41,480 --> 00:59:47,280
Speaker 1: wanted to. Let's see we have Oh oh, this is good,

1072
00:59:48,080 --> 00:59:50,520
Speaker 1: this is good. First off, wait before I get to that,

1073
00:59:50,520 --> 00:59:53,760
Speaker 1: we have a Jared Kushner, who we don't hear from

1074
00:59:53,880 --> 00:59:56,280
Speaker 1: very often, but who's very much involved in the most

1075
00:59:56,320 --> 00:59:59,480
Speaker 1: inner workings of the White House and wields considerable authority

1076
01:00:00,320 --> 01:00:04,320
Speaker 1: within this White House. Here's what he said about the

1077
01:00:04,360 --> 01:00:08,040
Speaker 1: eternal lockdown crowd, which I think we should perhaps start

1078
01:00:08,040 --> 01:00:10,760
Speaker 1: referring to them that way, because they are setting this

1079
01:00:10,880 --> 01:00:14,120
Speaker 1: up as eternal lockdown would be a better option than

1080
01:00:14,160 --> 01:00:15,960
Speaker 1: those of us who want to open up the country

1081
01:00:16,040 --> 01:00:18,680
Speaker 1: play clip six and again, the goal here is to

1082
01:00:18,720 --> 01:00:21,840
Speaker 1: get people back to work. The eternal lockdown crowd can

1083
01:00:21,880 --> 01:00:25,000
Speaker 1: make jokes on the late night television, but the reality

1084
01:00:25,080 --> 01:00:26,840
Speaker 1: is is that the data is on our side, and

1085
01:00:26,920 --> 01:00:29,680
Speaker 1: President Trump has created a pathway to safely open up

1086
01:00:29,720 --> 01:00:32,000
Speaker 1: our country and make sure that we get our economy

1087
01:00:32,040 --> 01:00:34,040
Speaker 1: going and get America back to a place where it

1088
01:00:34,040 --> 01:00:37,760
Speaker 1: will be even stronger than it was before. He's right

1089
01:00:37,800 --> 01:00:40,520
Speaker 1: about the data being on our side. We should note

1090
01:00:40,560 --> 01:00:42,560
Speaker 1: that the data is on the side of those who

1091
01:00:42,640 --> 01:00:47,320
Speaker 1: want to reopen Oh, the study I mentioned to you before.

1092
01:00:47,320 --> 01:00:49,720
Speaker 1: I was going to get into the terror read allegations

1093
01:00:49,720 --> 01:00:52,960
Speaker 1: against Biden and the hypocrisy there, and we will in

1094
01:00:53,000 --> 01:00:54,960
Speaker 1: just a moment. But I did think it would be

1095
01:00:55,000 --> 01:00:58,480
Speaker 1: worth pointing this out to you because we often hear

1096
01:00:58,520 --> 01:01:02,560
Speaker 1: about the other costs out there, the other costs. And

1097
01:01:02,720 --> 01:01:06,960
Speaker 1: here's what we assume, because we can understand, we can

1098
01:01:07,000 --> 01:01:10,720
Speaker 1: reason through this that by preventing people from getting basic

1099
01:01:11,280 --> 01:01:14,680
Speaker 1: medical care and hospitals, by saying that surgeries are non

1100
01:01:14,760 --> 01:01:17,680
Speaker 1: essential and therefore will be delayed, all kinds of screening

1101
01:01:17,720 --> 01:01:19,840
Speaker 1: and testing and chemo and all these things have been

1102
01:01:19,880 --> 01:01:22,040
Speaker 1: put on hold. I mean I'm really worried. I'm gonna

1103
01:01:22,040 --> 01:01:23,880
Speaker 1: tell you something. I'm concerned that I'm just gonna wake

1104
01:01:23,960 --> 01:01:25,360
Speaker 1: up and one of my teeth is gonna be rotting

1105
01:01:25,360 --> 01:01:26,480
Speaker 1: out of my head and I'm gonna have to deal

1106
01:01:26,480 --> 01:01:29,080
Speaker 1: with Okay, how do I get emergency dental work done?

1107
01:01:29,120 --> 01:01:31,600
Speaker 1: Because I haven't able to get a cleaning in months

1108
01:01:31,960 --> 01:01:34,200
Speaker 1: and I was due right when this whole thing happened.

1109
01:01:34,200 --> 01:01:36,440
Speaker 1: And you got to think, Okay, I mean, I know

1110
01:01:36,480 --> 01:01:40,400
Speaker 1: that's not a big deal, but imagine that same basic

1111
01:01:40,520 --> 01:01:43,720
Speaker 1: idea for people that have really serious health problems, which

1112
01:01:43,720 --> 01:01:46,000
Speaker 1: there are a lot of folks out there who do, right,

1113
01:01:46,040 --> 01:01:47,800
Speaker 1: I'm just thinking about what happens up a tooth rots

1114
01:01:47,840 --> 01:01:49,640
Speaker 1: out of my head. You look, getting a root Count album,

1115
01:01:49,760 --> 01:01:52,960
Speaker 1: that whole thing can be very painful. What happens with that, Well,

1116
01:01:53,000 --> 01:01:54,760
Speaker 1: imagine if I had a hard condition, or if I

1117
01:01:54,800 --> 01:01:56,840
Speaker 1: had diabetes, or if I had any if I had

1118
01:01:56,840 --> 01:02:00,400
Speaker 1: to really see if I needed to do dialogy assists

1119
01:02:00,440 --> 01:02:03,920
Speaker 1: and these things that you know, Okay, some you know procedures,

1120
01:02:03,920 --> 01:02:06,320
Speaker 1: they're they're continuing as suppose because others people would die,

1121
01:02:06,360 --> 01:02:09,880
Speaker 1: but they've cut back so much on them. Are our

1122
01:02:09,920 --> 01:02:13,800
Speaker 1: buddy Alex Barrenson, who's out there always raising the alarms

1123
01:02:13,840 --> 01:02:16,560
Speaker 1: about what the data really says versus what the lockdown

1124
01:02:16,640 --> 01:02:20,280
Speaker 1: consensus is telling you. He points this out. He sent this.

1125
01:02:20,400 --> 01:02:22,959
Speaker 1: He sent this to me today and I had tip

1126
01:02:23,040 --> 01:02:26,880
Speaker 1: him for that. Oregonians have died at a rate well

1127
01:02:26,920 --> 01:02:30,400
Speaker 1: above the average since mid March, but the tide at

1128
01:02:30,400 --> 01:02:34,760
Speaker 1: COVID nineteen is unclear. According to state data. Here's here's

1129
01:02:34,800 --> 01:02:38,320
Speaker 1: what it says. More Oregonians have died the past month

1130
01:02:38,320 --> 01:02:41,400
Speaker 1: that is typical in mid March and early April, but

1131
01:02:41,560 --> 01:02:46,760
Speaker 1: fewer than half the excess deaths were officially connected to coronavirus.

1132
01:02:47,320 --> 01:02:50,240
Speaker 1: Two hundred and forty five Oregonians, and all died during

1133
01:02:50,280 --> 01:02:53,000
Speaker 1: the five weeks between March sixteenth and March and April

1134
01:02:53,120 --> 01:02:56,120
Speaker 1: nineteenth than those who died the same five weeks in

1135
01:02:56,280 --> 01:02:59,280
Speaker 1: twenty seventeen, twenty eighteen, and twenty nineteen. On average, you've

1136
01:02:59,280 --> 01:03:02,800
Speaker 1: got about a two hundred and fifty person death rate

1137
01:03:02,880 --> 01:03:05,240
Speaker 1: increase compared to the average for the three years before.

1138
01:03:05,840 --> 01:03:10,160
Speaker 1: During those five weeks, seventy eight Oregonians. Did I say Oregonians?

1139
01:03:10,520 --> 01:03:15,080
Speaker 1: Is it's Oregon, So it's Oregon. No, it must be Oregonians.

1140
01:03:15,240 --> 01:03:20,320
Speaker 1: I think it's Oregonians, right, Oregon Oregonians, come on. But anyway,

1141
01:03:20,480 --> 01:03:25,440
Speaker 1: during those five weeks, seventy eight Oregonians died from COVID nineteen,

1142
01:03:25,440 --> 01:03:29,600
Speaker 1: according to the the state Health authorities official count. So why

1143
01:03:29,920 --> 01:03:31,680
Speaker 1: why do we have that's less than half of the

1144
01:03:31,680 --> 01:03:34,320
Speaker 1: excess deaths? What caused all the what caused the spike

1145
01:03:34,360 --> 01:03:38,200
Speaker 1: in other deaths? Now we don't know this yet, but

1146
01:03:38,400 --> 01:03:41,800
Speaker 1: we might know relatively soon. What if the excess deaths,

1147
01:03:41,880 --> 01:03:45,040
Speaker 1: meaning a whole lot of people in Oregon, you know,

1148
01:03:45,160 --> 01:03:48,479
Speaker 1: this would be over over one hundred excess deaths, which

1149
01:03:48,880 --> 01:03:50,640
Speaker 1: now you start to look at that across the country,

1150
01:03:50,640 --> 01:03:53,040
Speaker 1: because the situation in Oregon would be no different from

1151
01:03:53,040 --> 01:03:55,960
Speaker 1: other places state by state around the country. You know,

1152
01:03:56,000 --> 01:03:59,800
Speaker 1: if you had a hundred one hundred people per state

1153
01:03:59,840 --> 01:04:02,000
Speaker 1: and fifties states die of that five week here, that's

1154
01:04:02,040 --> 01:04:06,440
Speaker 1: five thousand people. It's a lot of people. And remember

1155
01:04:06,480 --> 01:04:09,000
Speaker 1: Oregon is not, by population a very large states. Start

1156
01:04:09,040 --> 01:04:11,600
Speaker 1: looking at California, start looking at Texas, start looking at

1157
01:04:11,600 --> 01:04:14,960
Speaker 1: places where they have tens of millions of residents. The

1158
01:04:14,960 --> 01:04:17,360
Speaker 1: theory here and this is where I think, this is

1159
01:04:17,400 --> 01:04:19,800
Speaker 1: why Alex has flagged this story from Alex Barrinson. But

1160
01:04:20,120 --> 01:04:23,560
Speaker 1: the theory behind it clearly is, well, are these people

1161
01:04:23,560 --> 01:04:26,920
Speaker 1: that are dying from heart attacks or dying from other

1162
01:04:27,120 --> 01:04:30,440
Speaker 1: medical issues that come up, who just don't want to

1163
01:04:30,480 --> 01:04:34,240
Speaker 1: go to the hospital. They're frightened of going to the hospital,

1164
01:04:34,280 --> 01:04:36,760
Speaker 1: so they don't go, and then they don't get emergency

1165
01:04:36,760 --> 01:04:39,760
Speaker 1: medical care or early interventions necessary to save their lives.

1166
01:04:40,600 --> 01:04:45,960
Speaker 1: I e. The lockdown is directly causing loss of life.

1167
01:04:46,920 --> 01:04:49,720
Speaker 1: That has to be factored into what this whole process

1168
01:04:49,760 --> 01:04:52,520
Speaker 1: has been about. And the wisdom are lack thereof of

1169
01:04:52,880 --> 01:04:57,240
Speaker 1: taking this approach, certainly, get this data, we should continue

1170
01:04:57,240 --> 01:04:58,840
Speaker 1: to look at it. All right, we do need to

1171
01:04:58,840 --> 01:05:04,280
Speaker 1: talk about this absence of principle that we're seeing, and

1172
01:05:04,320 --> 01:05:07,720
Speaker 1: it's the Left should be made to really just just

1173
01:05:08,160 --> 01:05:11,480
Speaker 1: sit and stew in their lives, just they should have

1174
01:05:11,520 --> 01:05:15,640
Speaker 1: to marinate in their lack of principle over me too

1175
01:05:15,680 --> 01:05:18,920
Speaker 1: allegations against Kavanaugh and against Trump, but more more specifically

1176
01:05:19,000 --> 01:05:23,080
Speaker 1: or more clearly, the ones against Kavanaugh were really outrageous

1177
01:05:23,120 --> 01:05:27,280
Speaker 1: and wrong and became the focus of the country for

1178
01:05:27,400 --> 01:05:32,280
Speaker 1: about a month long period. So we'll talk about where

1179
01:05:32,320 --> 01:05:34,960
Speaker 1: a is the me too stuff when it comes to Biden. Oh,

1180
01:05:35,000 --> 01:05:41,160
Speaker 1: that's right. It disappears you're in the freedom hunt. This

1181
01:05:41,240 --> 01:05:47,919
Speaker 1: is the Buck Sexton Show podcast. Do you believe the

1182
01:05:48,040 --> 01:05:51,160
Speaker 1: allegation that's been put out there by terror read against Biden?

1183
01:05:51,600 --> 01:05:55,880
Speaker 1: So when we say bled women, it's for this explicit

1184
01:05:56,000 --> 01:05:58,880
Speaker 1: intention of making show their space for all women to

1185
01:05:58,920 --> 01:06:03,200
Speaker 1: come forward to speak their truth to be heard. And

1186
01:06:03,520 --> 01:06:07,040
Speaker 1: in this allegation, that is what Tara Reid has done.

1187
01:06:07,320 --> 01:06:11,920
Speaker 1: She has come forward, she's spoken, and they've done an

1188
01:06:11,960 --> 01:06:16,680
Speaker 1: investigation in several outlets, those investigations, Vice President Biden has

1189
01:06:16,680 --> 01:06:22,520
Speaker 1: called for himself. Vice President Biden has vehemently denied these allegations,

1190
01:06:22,800 --> 01:06:25,840
Speaker 1: and I support Vice President Biden. Do you think some

1191
01:06:25,920 --> 01:06:30,560
Speaker 1: of the Democrats who supported Blasi Forward's allegations against Cabinol,

1192
01:06:30,680 --> 01:06:33,560
Speaker 1: who've been silent on this Biden allegation, do you see

1193
01:06:33,560 --> 01:06:36,240
Speaker 1: that as a contradiction that they're not speaking out more

1194
01:06:36,280 --> 01:06:40,320
Speaker 1: and addressing Tara Reid's allegation. No, and I stand by

1195
01:06:40,480 --> 01:06:44,400
Speaker 1: Vice President Biden. He's devoted his life to supporting women

1196
01:06:44,600 --> 01:06:50,040
Speaker 1: and he has vehemently denied this allegation. What else do

1197
01:06:50,040 --> 01:06:52,480
Speaker 1: you need to hear, folks? I mean, how much more

1198
01:06:52,520 --> 01:06:55,760
Speaker 1: clear could it be? There? You have Senator from New

1199
01:06:55,840 --> 01:07:00,280
Speaker 1: York yours and Jila Brand, who has completely abandoned what

1200
01:07:00,640 --> 01:07:03,960
Speaker 1: she used to say on this issue, who has decided

1201
01:07:04,000 --> 01:07:06,200
Speaker 1: that women do not have a right to be believed,

1202
01:07:06,680 --> 01:07:09,560
Speaker 1: but rather they have a right to be heard. That's

1203
01:07:09,560 --> 01:07:12,520
Speaker 1: an enormous change from what it was during the Kavanaugh hearing.

1204
01:07:14,040 --> 01:07:18,080
Speaker 1: Huge change. And isn't that so convenient that it happens

1205
01:07:18,080 --> 01:07:24,000
Speaker 1: to coincide with a necessary campaign of silence and or

1206
01:07:24,320 --> 01:07:28,560
Speaker 1: complacency in order to continue to allow the campaign, the

1207
01:07:28,840 --> 01:07:31,760
Speaker 1: ridiculous campaign of Joe Biden, to be pushed forward by

1208
01:07:31,800 --> 01:07:35,680
Speaker 1: these powermad Democrats. Everything that she said there was just

1209
01:07:35,680 --> 01:07:38,440
Speaker 1: just dishonest. It's a lie. It's disgusting. She's a fraud.

1210
01:07:39,080 --> 01:07:42,320
Speaker 1: She's a person of no ethics, no character, not willing

1211
01:07:42,320 --> 01:07:45,480
Speaker 1: to show any decency in the face of adversity, does

1212
01:07:45,520 --> 01:07:47,360
Speaker 1: whatever she has to do to get wherever she wants

1213
01:07:47,400 --> 01:07:51,120
Speaker 1: to go. I've also been told credibly, and I cannot

1214
01:07:51,160 --> 01:07:54,200
Speaker 1: repeat the story, but I was told credibly by somebody

1215
01:07:54,200 --> 01:07:57,040
Speaker 1: who is a Democrat, just what a horrible, what a

1216
01:07:57,080 --> 01:07:59,720
Speaker 1: horrible person Jilla Brand isn't what a fraud she is

1217
01:07:59,760 --> 01:08:02,000
Speaker 1: From very a very personal anecdote from someone that I

1218
01:08:02,040 --> 01:08:04,320
Speaker 1: trust a lot. So I've I've got I'm basically this

1219
01:08:04,480 --> 01:08:07,240
Speaker 1: more than just the what's out there of the public.

1220
01:08:07,280 --> 01:08:08,920
Speaker 1: I've just heard. She's a very bad person. You know.

1221
01:08:08,960 --> 01:08:10,400
Speaker 1: She does the whole like, Oh, I'm just a mom

1222
01:08:10,440 --> 01:08:12,120
Speaker 1: and I just oh, I'm just a mom who happened

1223
01:08:12,120 --> 01:08:13,600
Speaker 1: to be a senator, and I'm just you know, I'm

1224
01:08:13,600 --> 01:08:15,960
Speaker 1: just helping everybody, and it's all a front. She's not

1225
01:08:16,000 --> 01:08:19,760
Speaker 1: a nice person, just remember that. And she's not a

1226
01:08:19,760 --> 01:08:22,719
Speaker 1: principled person. That's clear. I mean, that's beyond any real doubt.

1227
01:08:23,160 --> 01:08:28,000
Speaker 1: The alley, why does she believe Joe Biden? What she

1228
01:08:28,000 --> 01:08:30,400
Speaker 1: should have to give a read under what oh? And

1229
01:08:30,520 --> 01:08:35,520
Speaker 1: calling for the New York Times and other liberal newspapers

1230
01:08:35,520 --> 01:08:39,040
Speaker 1: to do an investigation. Where what about the FBI investigation

1231
01:08:39,080 --> 01:08:42,799
Speaker 1: they called for of Kamada? They wanted an FBI investigation

1232
01:08:42,840 --> 01:08:44,880
Speaker 1: of somebody who's going to be elevated to the Supreme Court.

1233
01:08:45,400 --> 01:08:47,640
Speaker 1: They don't want an FBI investigation of somebody who's going

1234
01:08:47,680 --> 01:08:50,559
Speaker 1: to become president and be elevated to being commander in chief.

1235
01:08:50,600 --> 01:08:55,200
Speaker 1: Have the nuclear codes have tremendous power? No, no FBI

1236
01:08:55,280 --> 01:08:57,639
Speaker 1: investigation or those alligant Oh you know, what would happen?

1237
01:08:58,720 --> 01:09:01,240
Speaker 1: If they call for a background investigation. This is Oh,

1238
01:09:01,280 --> 01:09:03,120
Speaker 1: they were all so clever, weren't they. It's not a

1239
01:09:03,160 --> 01:09:07,240
Speaker 1: criminal investigation, it's a background investigation. Well, how can you

1240
01:09:07,280 --> 01:09:09,519
Speaker 1: prove yourself? You know, how can you prove the negative here?

1241
01:09:09,560 --> 01:09:12,200
Speaker 1: If you're Kavanaugh. Problem with calling for a background investigation

1242
01:09:12,240 --> 01:09:14,920
Speaker 1: of Biden on this would be the FBI could go around.

1243
01:09:14,960 --> 01:09:17,160
Speaker 1: They already have names of people to talk to, they

1244
01:09:17,200 --> 01:09:21,479
Speaker 1: already have some contemporaneous corroboration. It's gonna look bad for Biden.

1245
01:09:22,760 --> 01:09:25,719
Speaker 1: And remember, he's also a guy who snips women's heads,

1246
01:09:26,040 --> 01:09:29,960
Speaker 1: grabs them, gropes them, and it's just weird. Doesn't understand boundaries.

1247
01:09:30,120 --> 01:09:33,240
Speaker 1: I've said this before, it has been written in it

1248
01:09:33,280 --> 01:09:36,920
Speaker 1: was written in a book about Biden, and and I

1249
01:09:37,000 --> 01:09:39,960
Speaker 1: was told that personally by someone in the Secret Service

1250
01:09:40,000 --> 01:09:42,599
Speaker 1: that it was true that Biden used to love to

1251
01:09:43,000 --> 01:09:47,879
Speaker 1: you know, strip completely old, gross, you know, wrinkly. Biden

1252
01:09:48,320 --> 01:09:51,400
Speaker 1: would strip down out of his clothing naked and go

1253
01:09:51,560 --> 01:09:56,160
Speaker 1: swimming in front of female Secret Service detailies. Is that

1254
01:09:56,280 --> 01:09:58,439
Speaker 1: anybody think if that were your wife or your daughter,

1255
01:09:58,479 --> 01:10:00,360
Speaker 1: would you be okay with that? You know? Who was

1256
01:10:00,360 --> 01:10:05,280
Speaker 1: assigned to protect this buffoon? A total buffoon, and really,

1257
01:10:05,600 --> 01:10:08,000
Speaker 1: if he hadn't just been in the game forever gotten

1258
01:10:08,160 --> 01:10:11,679
Speaker 1: very lucky. Guy's a loser. I know he was vice president.

1259
01:10:11,680 --> 01:10:13,640
Speaker 1: I don't care dan Quail was vice president. All the

1260
01:10:13,640 --> 01:10:15,360
Speaker 1: Liberals ever did was make fun of him and say

1261
01:10:15,360 --> 01:10:18,040
Speaker 1: how terrible he was, right vice president. Look, Cheney was

1262
01:10:18,080 --> 01:10:20,519
Speaker 1: like the dark Lord, he was the Sith. He's evil.

1263
01:10:21,600 --> 01:10:26,479
Speaker 1: Joe Biden's a deeply unimpressive guy. And he also has

1264
01:10:26,479 --> 01:10:29,280
Speaker 1: this history of behaving poorly in and around in front

1265
01:10:29,280 --> 01:10:33,679
Speaker 1: of and around women. And Jilla brand just I stand

1266
01:10:33,680 --> 01:10:36,760
Speaker 1: with Joe Biden. Just you can just hear just the

1267
01:10:37,760 --> 01:10:41,160
Speaker 1: power that she wants. She's just, oh, whatever she has

1268
01:10:41,200 --> 01:10:45,160
Speaker 1: to say here. This was the woman who threw her

1269
01:10:45,200 --> 01:10:49,320
Speaker 1: senate colleague Al Frankin under the bus because he had

1270
01:10:49,320 --> 01:10:51,880
Speaker 1: the you know, the video taking of him groping the woman,

1271
01:10:52,160 --> 01:10:53,960
Speaker 1: or not the video, the photo of him groping over

1272
01:10:54,040 --> 01:10:56,599
Speaker 1: her body armor. But you know, it wasn't it wasn't

1273
01:10:56,640 --> 01:10:59,559
Speaker 1: funny and it was creepy. But you know, she said

1274
01:10:59,560 --> 01:11:01,439
Speaker 1: he's and someone else said that he tried to try

1275
01:11:01,479 --> 01:11:03,519
Speaker 1: to kiss her or something, and she was the one

1276
01:11:03,560 --> 01:11:06,280
Speaker 1: you will remember, who said he's got to go. And

1277
01:11:06,360 --> 01:11:08,760
Speaker 1: he had to step down from the Senate. He's gonna go.

1278
01:11:08,800 --> 01:11:10,680
Speaker 1: But Bill Clinton could be president for a years, but

1279
01:11:10,720 --> 01:11:13,280
Speaker 1: Alfa Rega had to go. And I think Alfa Regan's disgraceful.

1280
01:11:13,840 --> 01:11:17,400
Speaker 1: But it's amazing how the principle here shifts depending on

1281
01:11:17,479 --> 01:11:19,679
Speaker 1: the needs that any particular Democrat has in the moment.

1282
01:11:20,640 --> 01:11:24,519
Speaker 1: The allegation against Joe Biden from Tara Reid is entirely credible,

1283
01:11:24,520 --> 01:11:26,280
Speaker 1: and the Libs don't know what to do about it

1284
01:11:27,479 --> 01:11:30,320
Speaker 1: because they know what they're going to do in that

1285
01:11:30,360 --> 01:11:32,519
Speaker 1: they're gonna make this go away, and they're gonna soft

1286
01:11:32,520 --> 01:11:35,479
Speaker 1: pedal it, and they're gonna just they're gonna just make

1287
01:11:35,520 --> 01:11:39,520
Speaker 1: sure that Joe Biden is a viable candidate for the presidency.

1288
01:11:40,560 --> 01:11:43,120
Speaker 1: Whatever that means, whatever they have to pretend is true

1289
01:11:43,120 --> 01:11:45,559
Speaker 1: that isn't true, they'll do it. Where are all the

1290
01:11:45,560 --> 01:11:49,240
Speaker 1: women's organizations? Think about that? Where's the National Organization of Women?

1291
01:11:49,360 --> 01:11:54,040
Speaker 1: And where's Glorious Steynham Where are all the feminists? Now? Oh,

1292
01:11:54,120 --> 01:11:58,120
Speaker 1: you mean that they're really just powermad leftists who pretend

1293
01:11:58,120 --> 01:12:00,720
Speaker 1: to care about women but really just care are about

1294
01:12:00,760 --> 01:12:03,360
Speaker 1: their own political agenda and use women as a tool

1295
01:12:03,400 --> 01:12:08,280
Speaker 1: as a weapon against conservatives and traditionalists and Republicans. That's

1296
01:12:08,280 --> 01:12:11,879
Speaker 1: what they do. That's why feminism in the modern context

1297
01:12:11,920 --> 01:12:15,360
Speaker 1: now exists. Otherwise, explain to me where the women's organizations

1298
01:12:15,400 --> 01:12:19,519
Speaker 1: are right now backing up terror read supporting terror read.

1299
01:12:20,120 --> 01:12:22,320
Speaker 1: Oh you mean they're all silent, They're all gone. No

1300
01:12:22,360 --> 01:12:25,679
Speaker 1: one's surprised by this. Thanks for listening to The Bus

1301
01:12:25,680 --> 01:12:29,800
Speaker 1: Sesson Show podcasts. Remember to subscribe on Apple podcasts, the

1302
01:12:29,840 --> 01:12:34,240
Speaker 1: iHeart Radio app, or wherever you get your podcasts. This

1303
01:12:34,320 --> 01:12:39,160
Speaker 1: election in November is going to determine so many things

1304
01:12:39,200 --> 01:12:42,160
Speaker 1: about our future. And it's going to be about our

1305
01:12:42,400 --> 01:12:45,840
Speaker 1: literally our health and whether we live or die. It's

1306
01:12:45,880 --> 01:12:48,000
Speaker 1: going to be about the state of our economy and

1307
01:12:48,000 --> 01:12:51,240
Speaker 1: whether we have a job and are treated with dignity

1308
01:12:51,439 --> 01:12:54,400
Speaker 1: or not. Where's Kamala Harris on the Joe Biden allegations?

1309
01:12:54,400 --> 01:12:56,439
Speaker 1: An you want to ask her about that? Oh? No,

1310
01:12:56,479 --> 01:12:59,879
Speaker 1: that's right. She's still trying to get a vice president

1311
01:13:00,520 --> 01:13:03,760
Speaker 1: nod and get that slot from Biden, so she's not

1312
01:13:03,760 --> 01:13:06,240
Speaker 1: gonna say anything about it other than she believes Joe Biden.

1313
01:13:07,840 --> 01:13:10,360
Speaker 1: Are they calling Let's remember all the things that they

1314
01:13:10,400 --> 01:13:13,599
Speaker 1: did to people like me and others who were defending Kavanaugh,

1315
01:13:14,040 --> 01:13:17,240
Speaker 1: who was manifestly innocent. It was it was obvious, didn't

1316
01:13:17,240 --> 01:13:19,200
Speaker 1: do anything. You can't even prove. When you can't prove

1317
01:13:19,200 --> 01:13:21,559
Speaker 1: that you even knew the year that you say something happened,

1318
01:13:21,800 --> 01:13:24,000
Speaker 1: or that you even met the person in question, you're

1319
01:13:24,200 --> 01:13:27,400
Speaker 1: somebody who has emotional problems and should not be listened

1320
01:13:27,439 --> 01:13:30,639
Speaker 1: to When a highly politicized case like this comes forward,

1321
01:13:31,280 --> 01:13:35,479
Speaker 1: as it did against Kavanaugh against Biden, this all adds up.

1322
01:13:36,560 --> 01:13:44,200
Speaker 1: What a guy who's a self important, narcissistic, powermad senator

1323
01:13:44,240 --> 01:13:47,680
Speaker 1: from the nineties has a you know, a young, attractive

1324
01:13:47,720 --> 01:13:51,600
Speaker 1: female staffer that he gets too handsy with. Does that

1325
01:13:51,680 --> 01:13:56,880
Speaker 1: sound implausible to anyone? Blasi Ford's thing about Kavanaugh, who

1326
01:13:56,920 --> 01:13:59,720
Speaker 1: had lived his life as a super nice guy and

1327
01:13:59,800 --> 01:14:02,759
Speaker 1: a never done anything except promote and assist and help women.

1328
01:14:03,040 --> 01:14:05,559
Speaker 1: And you look, the story didn't add up. It just

1329
01:14:05,680 --> 01:14:08,280
Speaker 1: never added up, and there were no details, no contemporaries.

1330
01:14:08,320 --> 01:14:09,800
Speaker 1: And the other two people came forward, as you know,

1331
01:14:09,800 --> 01:14:11,759
Speaker 1: I mean, Julie Sweatneck's a liar. She's just a liar,

1332
01:14:12,120 --> 01:14:14,840
Speaker 1: crazy person and a liar. And the other woman, I

1333
01:14:14,880 --> 01:14:17,000
Speaker 1: think was you know, also a little bit deluded. I

1334
01:14:17,000 --> 01:14:19,840
Speaker 1: wasn't in debor Ramirez, you know, but Blasi Ford was

1335
01:14:19,840 --> 01:14:21,560
Speaker 1: the one. Oh, and they worked so hard. She was

1336
01:14:21,560 --> 01:14:23,040
Speaker 1: the one who also said she couldn't fly. And then

1337
01:14:23,080 --> 01:14:25,080
Speaker 1: they found out that because they were trying to delay

1338
01:14:25,320 --> 01:14:27,080
Speaker 1: and set the pieces up to make sure that she'd

1339
01:14:27,080 --> 01:14:29,160
Speaker 1: have the best testimony possible against Cavina, all that turned

1340
01:14:29,160 --> 01:14:31,640
Speaker 1: out that she lied about that. That's a weird thing

1341
01:14:31,680 --> 01:14:33,120
Speaker 1: to live up before you're going to testify in front

1342
01:14:33,120 --> 01:14:34,880
Speaker 1: of the whole country and trying to ruin a man's life,

1343
01:14:35,360 --> 01:14:37,880
Speaker 1: all because you want some psycho lib to be on

1344
01:14:37,920 --> 01:14:40,760
Speaker 1: the Supreme Court to pretend that abortion is a constitutional right,

1345
01:14:40,800 --> 01:14:47,760
Speaker 1: which it is clearly manifestly not. So here we are

1346
01:14:47,800 --> 01:14:50,800
Speaker 1: now with a much more credible set of or much

1347
01:14:50,800 --> 01:14:54,000
Speaker 1: more credible allegation against Joe Biden, and there's just nothing.

1348
01:14:54,720 --> 01:14:56,519
Speaker 1: And this is the Democratic Party that tells you that

1349
01:14:56,560 --> 01:14:59,559
Speaker 1: they're better, they're honorable. These are the same Democrats who

1350
01:14:59,600 --> 01:15:02,200
Speaker 1: have been said the Trump lies and lies and lies

1351
01:15:02,360 --> 01:15:05,559
Speaker 1: is so terrible, so awful, And then this is what

1352
01:15:05,600 --> 01:15:08,280
Speaker 1: they offer up. I mean, there's a part of it

1353
01:15:08,320 --> 01:15:09,599
Speaker 1: just wants to look at them and say, you guys

1354
01:15:09,640 --> 01:15:12,720
Speaker 1: are not You're not serious, right, you don't really think

1355
01:15:12,760 --> 01:15:17,880
Speaker 1: that this is acceptable, that Joe Biden, is this this

1356
01:15:18,000 --> 01:15:23,599
Speaker 1: great opportunity for America. You can't really believe that. I mean,

1357
01:15:23,640 --> 01:15:26,439
Speaker 1: I refuse to think that that's something they really believe.

1358
01:15:27,520 --> 01:15:31,320
Speaker 1: But I guess they are going to pretend. Oh, there's

1359
01:15:31,360 --> 01:15:37,639
Speaker 1: another female politician who wants a shot at being Biden's

1360
01:15:37,680 --> 01:15:41,680
Speaker 1: vice president, maybe Gillibrand, or Gillibrand rather thinks that she

1361
01:15:41,720 --> 01:15:44,080
Speaker 1: should be the vice president. I'm sure that that's crossed

1362
01:15:44,080 --> 01:15:48,040
Speaker 1: her mind. But there's Stacy Abrams out there who's openly

1363
01:15:48,240 --> 01:15:50,600
Speaker 1: lobbying for this in a way where it's she's like

1364
01:15:50,640 --> 01:15:54,840
Speaker 1: telling Joe Biden, nice presidential campaign, you have there be

1365
01:15:54,840 --> 01:15:57,840
Speaker 1: a shame if some social justice came after it. You

1366
01:15:57,880 --> 01:15:59,920
Speaker 1: know what I'm saying, You know, you better make me

1367
01:16:00,120 --> 01:16:03,519
Speaker 1: VP or else. That's really been the attitude that you've

1368
01:16:03,520 --> 01:16:06,479
Speaker 1: been seeing. But here's Stacy Abrams when she was asked

1369
01:16:06,479 --> 01:16:11,080
Speaker 1: about the Biden allegations, the sexual assault allegations, and here's

1370
01:16:11,080 --> 01:16:15,400
Speaker 1: what she said at Play fourteen. Biden's campaign says, untrue,

1371
01:16:15,960 --> 01:16:19,600
Speaker 1: never happened. Is this a credible allegation? I believe that

1372
01:16:19,640 --> 01:16:22,200
Speaker 1: women deserve to be heard, and I believe that they

1373
01:16:22,320 --> 01:16:25,439
Speaker 1: need to be listened to, but I also believe that

1374
01:16:25,439 --> 01:16:29,439
Speaker 1: those allegations have to be investigated by credible sources. The

1375
01:16:29,439 --> 01:16:32,559
Speaker 1: New York Times did a deep investigation, and they found

1376
01:16:32,600 --> 01:16:36,160
Speaker 1: that the accusation was not credible. I believe Joe Biden.

1377
01:16:36,360 --> 01:16:38,600
Speaker 1: I believe that he is a person who has demonstrated

1378
01:16:38,600 --> 01:16:43,200
Speaker 1: that his love of family, his love of our community

1379
01:16:43,479 --> 01:16:47,680
Speaker 1: has been made perfectly clear through his work as a

1380
01:16:47,720 --> 01:16:51,920
Speaker 1: congressional leader and as an American leader. I know Joe Biden,

1381
01:16:51,960 --> 01:16:53,920
Speaker 1: and I think that he is telling the truth and

1382
01:16:53,960 --> 01:16:59,880
Speaker 1: that this did not happen. Lies lies and lies. Near

1383
01:17:00,080 --> 01:17:03,200
Speaker 1: Times did not come to the conclusion that the allegation

1384
01:17:03,320 --> 01:17:07,040
Speaker 1: was not credible. They just can't tell you definitively whether

1385
01:17:07,160 --> 01:17:08,639
Speaker 1: or not that had happened. And even if they did

1386
01:17:08,680 --> 01:17:10,840
Speaker 1: say that it was not credible, that's laughable. Of course

1387
01:17:10,840 --> 01:17:14,160
Speaker 1: it's credible. There's nothing to disprove it, and everything about

1388
01:17:14,200 --> 01:17:17,640
Speaker 1: it lines up. It is entirely plausible, and something that

1389
01:17:17,720 --> 01:17:22,519
Speaker 1: is entirely plausible when you have a named accuser, given

1390
01:17:22,560 --> 01:17:26,520
Speaker 1: the circumstances of what we know of their working relationship

1391
01:17:26,560 --> 01:17:29,240
Speaker 1: at the time, as well as Joe Biden's propensity to

1392
01:17:29,280 --> 01:17:33,879
Speaker 1: be handsy and gross with women, in general, that's called credible.

1393
01:17:34,640 --> 01:17:37,360
Speaker 1: I don't remember the year, I don't remember where was,

1394
01:17:37,479 --> 01:17:40,160
Speaker 1: I don't remember how I got there. Nobody will tell

1395
01:17:40,280 --> 01:17:42,920
Speaker 1: that this actually happened. I didn't tell anyone at the time,

1396
01:17:43,080 --> 01:17:45,439
Speaker 1: and I put two doors on my house because it

1397
01:17:45,520 --> 01:17:49,040
Speaker 1: still freaked me out decades later. Oh and also, I

1398
01:17:49,080 --> 01:17:51,360
Speaker 1: can't fly, just kidding, except when I go on vacation,

1399
01:17:51,439 --> 01:17:53,800
Speaker 1: I can fly, So I guess I will fly. That

1400
01:17:53,960 --> 01:17:59,879
Speaker 1: was Blasi Ford against Capit was that that was credible. Huh. Oh,

1401
01:18:00,000 --> 01:18:03,040
Speaker 1: we all see what's going on here. Just remember it.

1402
01:18:03,840 --> 01:18:06,400
Speaker 1: You were right. I was right. We were right about

1403
01:18:06,439 --> 01:18:11,320
Speaker 1: Kavanaugh and what happened there. And also the recognition that

1404
01:18:11,360 --> 01:18:13,360
Speaker 1: meets you would be used as a political weapon against

1405
01:18:13,360 --> 01:18:16,600
Speaker 1: the right and abandoned the moment that it could be

1406
01:18:16,720 --> 01:18:19,600
Speaker 1: used against the left. We called it because we know,

1407
01:18:19,680 --> 01:18:22,040
Speaker 1: we know who these people are. They don't have internal principle,

1408
01:18:22,080 --> 01:18:24,519
Speaker 1: they don't have a moral compass. It is all just

1409
01:18:24,760 --> 01:18:28,439
Speaker 1: whatever they need for power, whatever they have to do,

1410
01:18:29,120 --> 01:18:32,840
Speaker 1: they will do. That's what we're seeing here. Oh, yes,

1411
01:18:32,880 --> 01:18:34,960
Speaker 1: women have a right to be heard. Try saying that

1412
01:18:35,040 --> 01:18:38,960
Speaker 1: if you're a Republican and shut down allegations of sexual

1413
01:18:39,000 --> 01:18:40,800
Speaker 1: assault against you. Women just have a right to be heard,

1414
01:18:40,840 --> 01:18:46,759
Speaker 1: not to be believed. You're in the freedom hunt. This

1415
01:18:46,840 --> 01:18:53,439
Speaker 1: is the Buck Sex and Show Podcast. Can a joke

1416
01:18:53,560 --> 01:18:58,280
Speaker 1: on Twitter get you dragged in front of the administrative State? Well,

1417
01:18:58,320 --> 01:19:01,360
Speaker 1: I wouldn't be asking the question if it wasn't obviously yes.

1418
01:19:01,920 --> 01:19:04,400
Speaker 1: But let's talk to the person who can tell you

1419
01:19:04,479 --> 01:19:08,679
Speaker 1: just what this ordeal is all about. Mister Ben Dominicch

1420
01:19:08,880 --> 01:19:12,280
Speaker 1: joins us now. He is the founder and publisher of

1421
01:19:12,800 --> 01:19:14,960
Speaker 1: The Federalist. You know, the Federalist dot com is one

1422
01:19:14,960 --> 01:19:18,160
Speaker 1: of our favorite sites. Mister Ben, good to have you on, sir.

1423
01:19:19,120 --> 01:19:21,120
Speaker 1: It's good to be with you. Buck. How are you

1424
01:19:21,120 --> 01:19:23,479
Speaker 1: doing today? Oh man, I'm hanging in there, you know,

1425
01:19:23,520 --> 01:19:27,439
Speaker 1: in lockdown an Nycat. It's not exactly a great time

1426
01:19:27,439 --> 01:19:29,240
Speaker 1: in the history of the city or the world for

1427
01:19:29,280 --> 01:19:31,080
Speaker 1: that matter. But I'm gonna be all right. You're gonna

1428
01:19:31,080 --> 01:19:33,439
Speaker 1: be alright, Our audience is gonna be alright. Let's let's

1429
01:19:33,479 --> 01:19:36,800
Speaker 1: tell me first about what happened here. Ben, you made it.

1430
01:19:36,960 --> 01:19:40,040
Speaker 1: Tell folks the story because I haven't gotten in any details.

1431
01:19:40,120 --> 01:19:43,160
Speaker 1: You made a joke on Twitter that upset the Libs

1432
01:19:43,439 --> 01:19:45,400
Speaker 1: had to do with unions, and now you had to

1433
01:19:45,439 --> 01:19:48,599
Speaker 1: go to court. What happened. So here's what happened, Buck,

1434
01:19:48,800 --> 01:19:53,080
Speaker 1: and I'll try to keep this brief. Basically, back last

1435
01:19:53,160 --> 01:19:58,160
Speaker 1: year during the during June, there was a walkout happening

1436
01:19:58,760 --> 01:20:01,439
Speaker 1: at Vox Media, something that I'm sure some of your

1437
01:20:01,439 --> 01:20:04,600
Speaker 1: listeners are familiar with as a left of center website,

1438
01:20:05,320 --> 01:20:07,800
Speaker 1: and they were, you know, demanding all sorts of different

1439
01:20:07,840 --> 01:20:11,040
Speaker 1: things that they collective bargaining agreement, including, uh, some some

1440
01:20:11,080 --> 01:20:13,640
Speaker 1: things that I thought to be pretty pretty crazy. Um.

1441
01:20:13,840 --> 01:20:17,439
Speaker 1: But just as a matter of commenting about it on Twitter,

1442
01:20:18,160 --> 01:20:23,280
Speaker 1: I made a joke that amounts to FYI to the

1443
01:20:23,280 --> 01:20:26,880
Speaker 1: Federalist the organization I run. You know, the next one

1444
01:20:26,920 --> 01:20:29,080
Speaker 1: of you tries to unionize, I'll send you back to

1445
01:20:29,080 --> 01:20:33,080
Speaker 1: the salt mine. That this is obviously a joke. I

1446
01:20:33,160 --> 01:20:35,720
Speaker 1: do not now own a sault mine. I have not

1447
01:20:35,840 --> 01:20:38,519
Speaker 1: ruled it out as a future purchase. In fact, you know,

1448
01:20:38,560 --> 01:20:40,080
Speaker 1: I think I think that they could be you know,

1449
01:20:40,439 --> 01:20:43,320
Speaker 1: pretty productive in terms of in terms of people need salt.

1450
01:20:43,640 --> 01:20:45,640
Speaker 1: But it's also one of these things where you know,

1451
01:20:45,720 --> 01:20:50,360
Speaker 1: the the left always wants to use any opportunity to

1452
01:20:50,560 --> 01:20:54,960
Speaker 1: weaponize the bureaucratic state, the administrative state against people who

1453
01:20:55,000 --> 01:20:58,599
Speaker 1: they don't like. And in this instance, leftist writer Matt Brunig,

1454
01:20:58,640 --> 01:21:02,640
Speaker 1: who's married to at that time a writer at the

1455
01:21:02,640 --> 01:21:04,679
Speaker 1: Washington Post, now a writer at the New York Times,

1456
01:21:05,280 --> 01:21:08,880
Speaker 1: took umbrage with it and filed a labor complaint with

1457
01:21:08,920 --> 01:21:12,000
Speaker 1: the National Labor Relations Board, one that was also filed

1458
01:21:12,040 --> 01:21:15,800
Speaker 1: by another attorney in Massachusetts. Neither of these men have

1459
01:21:15,880 --> 01:21:19,160
Speaker 1: ever worked with us, have any relationship with us, have

1460
01:21:19,240 --> 01:21:22,600
Speaker 1: ever been an employee or a contractor at the Federalist.

1461
01:21:22,880 --> 01:21:26,880
Speaker 1: But under the National Labor Relations Boards perspective on things,

1462
01:21:27,080 --> 01:21:30,439
Speaker 1: they believe that anyone anywhere can file any kind of

1463
01:21:30,560 --> 01:21:34,599
Speaker 1: complaint along these lines, and they investigate it at taxpayer expense.

1464
01:21:35,280 --> 01:21:37,479
Speaker 1: Now what does that mean, Well, I'll tell you what

1465
01:21:37,520 --> 01:21:40,400
Speaker 1: it means. It basically means they have the power supoena

1466
01:21:40,439 --> 01:21:43,400
Speaker 1: power and other power over you that they can use

1467
01:21:43,439 --> 01:21:45,320
Speaker 1: to try to force you to do whatever they want

1468
01:21:45,320 --> 01:21:49,040
Speaker 1: you to do. In this instance, they attempted to subpoena

1469
01:21:49,200 --> 01:21:53,679
Speaker 1: all email communications between staff on any matters going back

1470
01:21:54,000 --> 01:21:57,000
Speaker 1: quite a bit. Looking not just at like, you know,

1471
01:21:57,479 --> 01:22:01,320
Speaker 1: it wasn't just a request about benefits or negotiations or

1472
01:22:01,320 --> 01:22:04,280
Speaker 1: anything along those lines. It was it was a subpoena

1473
01:22:04,320 --> 01:22:07,200
Speaker 1: that applied to all of our reporting, all of our

1474
01:22:07,600 --> 01:22:10,840
Speaker 1: editorial conversations and the like, a huge invasion of our

1475
01:22:10,880 --> 01:22:13,960
Speaker 1: First Amendment rights as a publication. My own employees, of course,

1476
01:22:13,960 --> 01:22:16,120
Speaker 1: thought this all was just a giant joke. They couldn't

1477
01:22:16,120 --> 01:22:18,720
Speaker 1: believe it was something that was actually happening. Uh. They

1478
01:22:18,720 --> 01:22:22,960
Speaker 1: were joking about, you know, making shirts or selling branded

1479
01:22:22,960 --> 01:22:26,000
Speaker 1: federal assault shakers or thinks of that nature, which we

1480
01:22:26,080 --> 01:22:30,800
Speaker 1: might still do. They say, yes, yes, well thank you,

1481
01:22:31,120 --> 01:22:33,479
Speaker 1: you'll you'll definitely get the first model when we when

1482
01:22:33,520 --> 01:22:36,360
Speaker 1: we have them come in and the you know, thankfully,

1483
01:22:36,360 --> 01:22:37,800
Speaker 1: at this point, I mean, I kind of looked around

1484
01:22:37,840 --> 01:22:40,040
Speaker 1: and was like, wow, this is this is incredible. They

1485
01:22:40,080 --> 01:22:42,800
Speaker 1: they can subpoena my employees to come and testify in

1486
01:22:42,880 --> 01:22:44,320
Speaker 1: New York, a state that they don't live in and

1487
01:22:44,320 --> 01:22:46,960
Speaker 1: that we don't have an office in. Uh, And they

1488
01:22:46,960 --> 01:22:49,400
Speaker 1: can they can force them to come, they can make

1489
01:22:49,439 --> 01:22:51,800
Speaker 1: them pay the expense, they would have to hire their

1490
01:22:51,800 --> 01:22:55,040
Speaker 1: own lawyers, et cetera, et cetera. And thankfully, in this instance,

1491
01:22:55,600 --> 01:22:58,439
Speaker 1: I found an organization, a small group of lawyers who

1492
01:22:58,520 --> 01:23:02,160
Speaker 1: basically just work on these types of cases, the New

1493
01:23:02,200 --> 01:23:06,200
Speaker 1: Civilibrities Alliance, which is an excellent little organization stood up

1494
01:23:06,200 --> 01:23:08,680
Speaker 1: by fella named Philip Hamburger, who will be familiar to

1495
01:23:08,720 --> 01:23:12,679
Speaker 1: anybody who reads about First Amendment cases and cases involving

1496
01:23:12,920 --> 01:23:16,519
Speaker 1: the bureaucratic and administrative state. And they offered to come

1497
01:23:16,560 --> 01:23:19,439
Speaker 1: in and really help us fight this battle against these

1498
01:23:19,479 --> 01:23:23,759
Speaker 1: bureaucrats who really don't care that none of my employees

1499
01:23:23,800 --> 01:23:26,240
Speaker 1: were offended by this, that none of them saw it

1500
01:23:26,360 --> 01:23:31,000
Speaker 1: as a threat against their ability to unionize. And that's

1501
01:23:31,040 --> 01:23:34,280
Speaker 1: something that the judge and the eventually the administrative law

1502
01:23:34,400 --> 01:23:37,400
Speaker 1: judge ruled in the past a couple of weeks that

1503
01:23:37,600 --> 01:23:40,439
Speaker 1: in fact, it's their opinions and even their athidavits filed

1504
01:23:40,479 --> 01:23:43,160
Speaker 1: saying that they were an offended don't matter. That that's irrelevant,

1505
01:23:43,720 --> 01:23:46,120
Speaker 1: and that even in this case, you know, you can't

1506
01:23:46,160 --> 01:23:48,439
Speaker 1: say that this was a joke. It has to be

1507
01:23:48,640 --> 01:23:52,679
Speaker 1: interpreted as a serious threat. Now, I'll tell you about

1508
01:23:53,280 --> 01:23:56,240
Speaker 1: the truth is, I could have settled this for nothing.

1509
01:23:56,240 --> 01:24:00,120
Speaker 1: I mean, there's no threat to my threat to my livelihood.

1510
01:24:00,200 --> 01:24:02,479
Speaker 1: You know, they don't have in a case like this,

1511
01:24:02,760 --> 01:24:05,479
Speaker 1: for something as small as this. They would just compel

1512
01:24:05,560 --> 01:24:07,639
Speaker 1: with my speech, they would force me to they propose

1513
01:24:07,760 --> 01:24:11,920
Speaker 1: deleting the tweet and then and then posting information about

1514
01:24:12,160 --> 01:24:14,799
Speaker 1: the ability of my employees to unionize, which has informed

1515
01:24:14,800 --> 01:24:18,000
Speaker 1: people they're well aware of. And that was something that,

1516
01:24:18,040 --> 01:24:20,400
Speaker 1: of course I could easily do to make this go away.

1517
01:24:20,439 --> 01:24:23,080
Speaker 1: But the reason that I decided not to is to

1518
01:24:23,120 --> 01:24:25,960
Speaker 1: prove a point, which is that I don't think that

1519
01:24:26,000 --> 01:24:29,120
Speaker 1: most people who are out there in this day and

1520
01:24:29,160 --> 01:24:33,360
Speaker 1: age of social media realize that if they if someone

1521
01:24:33,439 --> 01:24:36,880
Speaker 1: posted something like this, who let's just say, owned a

1522
01:24:36,880 --> 01:24:39,800
Speaker 1: series of gas stations, or owned a deli or had

1523
01:24:39,800 --> 01:24:43,160
Speaker 1: a small business, and that their neighbor who doesn't like

1524
01:24:43,320 --> 01:24:46,920
Speaker 1: them is offended by it, or their neighbor online, someone

1525
01:24:46,960 --> 01:24:49,519
Speaker 1: who they don't even know, you know, just some random

1526
01:24:49,560 --> 01:24:56,040
Speaker 1: American can file this type of legally forceful action against

1527
01:24:56,040 --> 01:24:59,400
Speaker 1: them in such a way that it goes after them

1528
01:24:59,400 --> 01:25:03,040
Speaker 1: at texa expense and can frankly, you know, put them

1529
01:25:03,040 --> 01:25:05,559
Speaker 1: out of business just through the expense of having to

1530
01:25:05,560 --> 01:25:07,880
Speaker 1: fight this type of case. And you know, the bureaucrats

1531
01:25:07,880 --> 01:25:10,920
Speaker 1: in this case, they always assume that you're just going

1532
01:25:10,960 --> 01:25:13,680
Speaker 1: to bend. They were shocked that they didn't take the

1533
01:25:13,760 --> 01:25:17,360
Speaker 1: deal and instead, you know, proceed to fight. And here's

1534
01:25:17,360 --> 01:25:19,000
Speaker 1: the thing, you know, this will go and work its

1535
01:25:19,000 --> 01:25:21,559
Speaker 1: way through the administrative law process, but then we'll get

1536
01:25:21,560 --> 01:25:24,080
Speaker 1: to the real courts where the Constitution actually matters. And

1537
01:25:24,080 --> 01:25:25,920
Speaker 1: I think, well, then we'll have a conversation about whether

1538
01:25:26,240 --> 01:25:30,000
Speaker 1: this is something that Congress intended under their creation of

1539
01:25:30,040 --> 01:25:32,800
Speaker 1: the NLRB, whether it's something that ought to continue in

1540
01:25:32,920 --> 01:25:35,759
Speaker 1: terms of the ability of people who have no connection

1541
01:25:35,760 --> 01:25:39,720
Speaker 1: to any organization to file wherever they want and to

1542
01:25:39,800 --> 01:25:43,640
Speaker 1: compel speech on the part of those whose opinions they

1543
01:25:43,640 --> 01:25:45,879
Speaker 1: just happened to not like we're speaking of Ben Dominic,

1544
01:25:46,080 --> 01:25:48,320
Speaker 1: founder of the Federalist. You can go to the Federalist

1545
01:25:48,360 --> 01:25:51,080
Speaker 1: dot com. It's one of my favorite sites. His piece

1546
01:25:51,080 --> 01:25:53,519
Speaker 1: in the Wall Street Journal is how my joke on

1547
01:25:53,560 --> 01:25:57,240
Speaker 1: Twitter became a federal case. He's telling us about it. Now. Now, Ben,

1548
01:25:57,240 --> 01:25:59,719
Speaker 1: you're saying that you wanted you you're fighting this on principle,

1549
01:25:59,720 --> 01:26:02,120
Speaker 1: which I can totally appreciate and understand, and you're going

1550
01:26:02,160 --> 01:26:04,519
Speaker 1: to take this into real court. Got to ask you, though,

1551
01:26:04,840 --> 01:26:07,479
Speaker 1: do you have any concerns that somehow, you know, we

1552
01:26:07,800 --> 01:26:10,240
Speaker 1: just saw, in my opinion, a horrible decision from the

1553
01:26:10,280 --> 01:26:14,680
Speaker 1: Supreme Court on New York City gun law, which you

1554
01:26:14,720 --> 01:26:16,840
Speaker 1: know it's a conversation we could have another time. But

1555
01:26:16,880 --> 01:26:20,040
Speaker 1: to me, it's just inexcusable what John Roberts did and

1556
01:26:20,080 --> 01:26:22,960
Speaker 1: it clearly wouldn't stand for say, abortion rights or something

1557
01:26:22,960 --> 01:26:26,519
Speaker 1: else something like that. But you seem pretty confident going

1558
01:26:26,520 --> 01:26:29,439
Speaker 1: into court that you'll be okay on this. Any concern

1559
01:26:29,520 --> 01:26:32,400
Speaker 1: that you might get the wrong judge, Oh, I think

1560
01:26:32,439 --> 01:26:34,479
Speaker 1: that that's absolutely a possibility. I mean, you could, you

1561
01:26:34,520 --> 01:26:36,439
Speaker 1: could end up on the wrong side of this and

1562
01:26:36,760 --> 01:26:40,439
Speaker 1: certainly have to you know, see the ramifications of that.

1563
01:26:40,600 --> 01:26:44,080
Speaker 1: But in from my perspective, that's worth the risk in

1564
01:26:44,120 --> 01:26:47,280
Speaker 1: this scenario where the deck is so stacked in the

1565
01:26:47,320 --> 01:26:50,080
Speaker 1: favor of the bureaucrats currently that I'd like to see

1566
01:26:50,080 --> 01:26:54,639
Speaker 1: this question resolved. And while these courts behave in their

1567
01:26:54,640 --> 01:26:58,719
Speaker 1: own little area of law where the administrative law judge

1568
01:26:58,760 --> 01:27:01,320
Speaker 1: one day as the person making the argument for the

1569
01:27:01,360 --> 01:27:04,639
Speaker 1: bureaucracy on the other day. Uh, And that's the whole

1570
01:27:04,680 --> 01:27:07,639
Speaker 1: world in which the rules effectively don't apply the way

1571
01:27:07,680 --> 01:27:10,160
Speaker 1: that they apply within the traditional court system as we

1572
01:27:10,240 --> 01:27:13,160
Speaker 1: understand it. I think that that's a bad thing, and

1573
01:27:13,200 --> 01:27:15,040
Speaker 1: I think that it's something that ought to be curtailed.

1574
01:27:15,120 --> 01:27:17,360
Speaker 1: And I don't believe that this I don't think that

1575
01:27:17,360 --> 01:27:20,160
Speaker 1: the people who brought this case really thought it through

1576
01:27:20,200 --> 01:27:23,599
Speaker 1: in terms of the fact pattern of such a clear

1577
01:27:24,200 --> 01:27:27,960
Speaker 1: misuse of a kind of troll on, a trollish capacity

1578
01:27:28,320 --> 01:27:30,439
Speaker 1: of the type of bureaucracy that's supposed to look out

1579
01:27:30,520 --> 01:27:34,439
Speaker 1: for workers as opposed to engaging in something that could

1580
01:27:34,479 --> 01:27:36,880
Speaker 1: you know, frankly lead to the you know, the organization

1581
01:27:36,960 --> 01:27:38,920
Speaker 1: if they if they didn't have the resources that we

1582
01:27:38,960 --> 01:27:41,200
Speaker 1: do and the connections that we do, you know, being

1583
01:27:41,240 --> 01:27:43,519
Speaker 1: bankrupted or or you know, putting those workers out of

1584
01:27:43,560 --> 01:27:46,679
Speaker 1: the street without their jobs. And you know what, Buck,

1585
01:27:46,880 --> 01:27:49,639
Speaker 1: I think that this is also an indication of something

1586
01:27:49,680 --> 01:27:52,840
Speaker 1: looking towards, looking forward to the future, the ability that

1587
01:27:52,880 --> 01:27:55,719
Speaker 1: we have in this day and age to have people

1588
01:27:55,800 --> 01:27:58,559
Speaker 1: drill down and attack small businesses as we've seen it

1589
01:27:58,600 --> 01:28:02,240
Speaker 1: within primarily the religious freedom aspects of things across the

1590
01:28:02,240 --> 01:28:06,400
Speaker 1: country via these uh, these courts that are essentially you know,

1591
01:28:06,479 --> 01:28:10,519
Speaker 1: carved out and unresponsive to citizens and individuals. I think

1592
01:28:10,520 --> 01:28:12,840
Speaker 1: that's a real danger and it's something that we need

1593
01:28:12,920 --> 01:28:15,840
Speaker 1: to start looking at in terms of Curtailian for the future,

1594
01:28:16,320 --> 01:28:17,960
Speaker 1: where we're going to have you know, a nation of

1595
01:28:18,080 --> 01:28:21,519
Speaker 1: Karen's who are going out there and uh and using

1596
01:28:21,560 --> 01:28:26,720
Speaker 1: the power of these agencies to enlist taxpayer funds and

1597
01:28:26,720 --> 01:28:29,000
Speaker 1: and put bureaucrats after people they just happen to not

1598
01:28:29,080 --> 01:28:31,320
Speaker 1: like just one quick one for you beat before we

1599
01:28:31,400 --> 01:28:33,920
Speaker 1: let you go back to fighting fighting the man or

1600
01:28:33,960 --> 01:28:38,800
Speaker 1: the NLRV man, did anybody from this administrative agency when

1601
01:28:38,840 --> 01:28:41,439
Speaker 1: you're sitting there and I suppose you have legal representation,

1602
01:28:41,479 --> 01:28:44,519
Speaker 1: but here you're like when you say, it's a joke,

1603
01:28:44,800 --> 01:28:47,799
Speaker 1: which it clearly is. Right, Like, I've joked around before

1604
01:28:47,840 --> 01:28:49,680
Speaker 1: and said, you know when when I was worrying the

1605
01:28:49,720 --> 01:28:51,960
Speaker 1: CI be like, all right, like I'm gonna I'm gonna

1606
01:28:51,960 --> 01:28:54,519
Speaker 1: send somebody. I'm gonna send this person to Gitmo or something.

1607
01:28:54,640 --> 01:28:56,320
Speaker 1: Right Like you just get angry and you know I

1608
01:28:56,360 --> 01:28:58,640
Speaker 1: don't have that authority. I can't do that. It's not

1609
01:28:58,680 --> 01:29:01,439
Speaker 1: gonna happen. You know, you don't, as you pointed out

1610
01:29:01,479 --> 01:29:04,519
Speaker 1: own assault mind, you can't send anyone there. And it's

1611
01:29:04,600 --> 01:29:07,880
Speaker 1: clearly a joke when you say that, though, What is

1612
01:29:07,960 --> 01:29:12,120
Speaker 1: their response, Well, what I'd say, if they're two things.

1613
01:29:12,120 --> 01:29:14,519
Speaker 1: One is a legal matter. They say, well, that doesn't

1614
01:29:14,520 --> 01:29:18,400
Speaker 1: matter because someone will someone could reasonably take it literally,

1615
01:29:19,200 --> 01:29:22,040
Speaker 1: which is to me just a complete misunderstanding of that

1616
01:29:22,120 --> 01:29:25,040
Speaker 1: standard historically and the way the courts have used it

1617
01:29:25,040 --> 01:29:27,240
Speaker 1: in the past. In other words, it eliminates any context

1618
01:29:27,720 --> 01:29:29,599
Speaker 1: for the fact, you know, maybe he does own assault

1619
01:29:29,640 --> 01:29:31,960
Speaker 1: mine or something along that line. But the other thing is,

1620
01:29:32,000 --> 01:29:34,160
Speaker 1: and this is something I think we need to understand

1621
01:29:34,200 --> 01:29:36,479
Speaker 1: about the folks who are involved in this. These are

1622
01:29:36,520 --> 01:29:40,120
Speaker 1: bureaucrats who take everything literally. They are humorless. They have

1623
01:29:40,120 --> 01:29:43,600
Speaker 1: no concept that this is a joke. And it makes me,

1624
01:29:43,720 --> 01:29:46,840
Speaker 1: it makes me really wonder, you know, how familiar they

1625
01:29:46,880 --> 01:29:51,280
Speaker 1: are with just what Twitter is. Twitter is just a

1626
01:29:51,320 --> 01:29:55,000
Speaker 1: place for snark and humor and all types of comments

1627
01:29:55,000 --> 01:29:57,120
Speaker 1: within this area. And you know, to your point, I mean,

1628
01:29:57,320 --> 01:29:59,400
Speaker 1: imagine if someone were to come after you for saying,

1629
01:29:59,600 --> 01:30:01,920
Speaker 1: you know, this ex government employee saying he wants to

1630
01:30:01,920 --> 01:30:05,800
Speaker 1: send me to Gitmo, I'm scared, you know, right exactly.

1631
01:30:06,280 --> 01:30:08,040
Speaker 1: So I think that's very much. I mean, you know,

1632
01:30:08,080 --> 01:30:09,519
Speaker 1: I was saying I was saying it to my little

1633
01:30:09,520 --> 01:30:13,120
Speaker 1: sister's boyfriends for years. I hope I can't get sued

1634
01:30:13,120 --> 01:30:16,120
Speaker 1: for it. You know, it's crazy, But you know, look,

1635
01:30:16,200 --> 01:30:18,000
Speaker 1: here's what I'll here's what I'll say this is. I

1636
01:30:18,040 --> 01:30:19,880
Speaker 1: think this is a fight worth happening because it's so

1637
01:30:19,960 --> 01:30:22,640
Speaker 1: clear cut, and because we have the resources and the

1638
01:30:22,640 --> 01:30:25,360
Speaker 1: friendships in order to make this fight where other people couldn't.

1639
01:30:25,560 --> 01:30:27,920
Speaker 1: And I hope that ultimately this leads to, you know,

1640
01:30:27,960 --> 01:30:31,240
Speaker 1: some some real questions that people ask about the appropriateness

1641
01:30:31,360 --> 01:30:36,639
Speaker 1: of empowering bureaucrats with this type of unrestricted ability to

1642
01:30:36,680 --> 01:30:39,800
Speaker 1: invade the lives of people across the country based just

1643
01:30:39,920 --> 01:30:42,760
Speaker 1: on the fact that they have differences in politics. I

1644
01:30:42,760 --> 01:30:45,320
Speaker 1: think that's very dangerous. Ben dominant, everybody found to the

1645
01:30:45,360 --> 01:30:47,840
Speaker 1: federalist Ben, stay in the fight, man, let us know

1646
01:30:47,880 --> 01:30:51,160
Speaker 1: how it goes. Thank you, Buck, I will Thanks for

1647
01:30:51,200 --> 01:30:54,920
Speaker 1: listening to the bus Essen Show podcast. Remember to subscribe

1648
01:30:54,960 --> 01:30:58,439
Speaker 1: on Apple podcasts, the iHeartRadio app, or wherever you get

1649
01:30:58,479 --> 01:31:02,120
Speaker 1: your podcasts. Oh, before we get to roll, call a

1650
01:31:02,160 --> 01:31:04,200
Speaker 1: story here out of New York that's gotten a lot

1651
01:31:04,240 --> 01:31:08,480
Speaker 1: of attention is trending on Twitter on social media. Deblasio

1652
01:31:08,600 --> 01:31:13,120
Speaker 1: breaks up rabbi's funeral and lashes out over virus distancing.

1653
01:31:13,720 --> 01:31:17,599
Speaker 1: After overseeing the dispersal of hundreds of Hasidic mourners in Brooklyn.

1654
01:31:17,960 --> 01:31:23,400
Speaker 1: Mayor Bill de Blasio called the gathering absolutely unacceptable, and

1655
01:31:23,760 --> 01:31:26,720
Speaker 1: he warned, quote the Jewish community in all communities, that

1656
01:31:26,760 --> 01:31:30,160
Speaker 1: any violation of social distance and guidelines can lead to

1657
01:31:30,160 --> 01:31:34,760
Speaker 1: a summons or arrest. Quote. Something absolutely unacceptable happened in

1658
01:31:34,760 --> 01:31:37,680
Speaker 1: Williamsburg tonight, a large funeral gathering in the middle of

1659
01:31:37,680 --> 01:31:40,479
Speaker 1: this pandemic. This is from them, This is Mayor to Blasio.

1660
01:31:40,680 --> 01:31:43,000
Speaker 1: When I heard, I went there myself to ensure the

1661
01:31:43,000 --> 01:31:46,200
Speaker 1: crowd was dispersed. And what I saw will not be

1662
01:31:46,240 --> 01:31:49,080
Speaker 1: tolerated so long as we are fighting the coronavirus. End

1663
01:31:49,200 --> 01:31:53,960
Speaker 1: quote Producer Mark, I would like you to weigh in

1664
01:31:54,040 --> 01:31:57,719
Speaker 1: on this as a fellow American, and as a fellow

1665
01:31:57,840 --> 01:32:01,400
Speaker 1: New Yorker, and as a Jewish New Yorker. What say you, producer, Well,

1666
01:32:01,479 --> 01:32:03,280
Speaker 1: in New Jersey, in but it's New York. Come on,

1667
01:32:03,360 --> 01:32:05,400
Speaker 1: I grew up in New York, right, You're from New York.

1668
01:32:05,439 --> 01:32:08,280
Speaker 1: What say you about this situation? And why is it

1669
01:32:08,320 --> 01:32:11,400
Speaker 1: trending on social media? Well? I think because Deblasio tweeted

1670
01:32:11,439 --> 01:32:17,360
Speaker 1: something basically targeting naming Jews. So that's why everyone's mad

1671
01:32:17,400 --> 01:32:20,400
Speaker 1: at him right now. And I mean, first of all,

1672
01:32:20,439 --> 01:32:22,360
Speaker 1: I want to point out that de Blasio does one

1673
01:32:22,400 --> 01:32:26,439
Speaker 1: thing great, uniting everyone and hating him, and I hate

1674
01:32:26,479 --> 01:32:28,639
Speaker 1: him too. I think what he was trying to say

1675
01:32:28,720 --> 01:32:31,280
Speaker 1: is the Hasidic Jews, the ultra Orthodox Jews, they don't

1676
01:32:31,320 --> 01:32:34,800
Speaker 1: listen to anybody, So why would you tweet that They don't.

1677
01:32:34,800 --> 01:32:37,760
Speaker 1: They're not on Twitter, they don't use social media, they

1678
01:32:37,760 --> 01:32:40,719
Speaker 1: don't use technology. So he's even dumber than we think.

1679
01:32:40,960 --> 01:32:43,479
Speaker 1: I don't think you're going to reach the Hasidic community

1680
01:32:43,520 --> 01:32:47,360
Speaker 1: well on Twitter. I think that's probably true. I know

1681
01:32:47,479 --> 01:32:49,559
Speaker 1: enough to know that that's the case. Yes, So if

1682
01:32:49,560 --> 01:32:51,200
Speaker 1: you're trying to reach out to them, doing it on

1683
01:32:51,240 --> 01:32:54,680
Speaker 1: Twitter is a bad job and basically just angered all

1684
01:32:54,720 --> 01:32:57,879
Speaker 1: the all Jewish people by tweeting that, because he targeted

1685
01:32:58,240 --> 01:33:01,439
Speaker 1: just Jewish people, as if there weren't Christians meeting on

1686
01:33:01,479 --> 01:33:05,839
Speaker 1: Easter in New York, as if Muslims don't unite, aren't

1687
01:33:05,840 --> 01:33:08,800
Speaker 1: doing it. Every religion is doing this right now to

1688
01:33:08,920 --> 01:33:11,599
Speaker 1: kind of push back on the social distancing stuff. So

1689
01:33:11,640 --> 01:33:15,320
Speaker 1: why are you targeting just the Jewish people? All? Right,

1690
01:33:15,600 --> 01:33:18,880
Speaker 1: there you have it, Producer Mark weighing in, let's get

1691
01:33:18,880 --> 01:33:21,519
Speaker 1: to a row call. Oh remember, folks, Bucksexton dot com

1692
01:33:21,520 --> 01:33:24,439
Speaker 1: a fantastic website and if you have not already, YouTube

1693
01:33:24,520 --> 01:33:27,519
Speaker 1: dot com slash buck Sexton we have a YouTube channel,

1694
01:33:27,920 --> 01:33:29,920
Speaker 1: so if you have not yet seen some of our

1695
01:33:30,000 --> 01:33:32,960
Speaker 1: long form interviews that we've done. We have a great

1696
01:33:32,960 --> 01:33:37,920
Speaker 1: one with James Altucher. We had the MotorCity Madmen on

1697
01:33:38,040 --> 01:33:42,160
Speaker 1: recently Ted Nugent, We've had who else have we done

1698
01:33:42,160 --> 01:33:44,479
Speaker 1: long Jack Carr. We've done these long form interviews. You

1699
01:33:44,560 --> 01:33:46,840
Speaker 1: got to check them out, So please subscribe to our

1700
01:33:46,880 --> 01:33:50,240
Speaker 1: YouTube channel. It's YouTube dot com slash buck Sexton and

1701
01:33:50,280 --> 01:33:53,479
Speaker 1: also bucksexon dot com. Put that on your bookmarks. If

1702
01:33:53,600 --> 01:33:56,320
Speaker 1: enough of you start bookmarking it, I will just start writing,

1703
01:33:56,640 --> 01:34:01,840
Speaker 1: if not bi weekly weekly for the website. That's right, baby,

1704
01:34:01,880 --> 01:34:04,600
Speaker 1: We're gonna start using bucksax and dot com for exclusive

1705
01:34:04,600 --> 01:34:08,000
Speaker 1: written content. And I've even talked to the snow Princess

1706
01:34:08,120 --> 01:34:10,559
Speaker 1: about doing some cooking videos with me because she's a

1707
01:34:10,640 --> 01:34:14,240
Speaker 1: fantastic cook. I'm like decent, Like producer Mark would eat

1708
01:34:14,240 --> 01:34:16,559
Speaker 1: my food and be like, I cannot complain about this

1709
01:34:16,840 --> 01:34:19,599
Speaker 1: because it's good her food. The two of us would

1710
01:34:19,600 --> 01:34:22,040
Speaker 1: sit there and be like this is amazing. So yeah,

1711
01:34:22,080 --> 01:34:24,920
Speaker 1: I would just ask you why you have married her yet? Yeah,

1712
01:34:25,280 --> 01:34:27,200
Speaker 1: those jokes. I'm working on it. I know I'm working

1713
01:34:27,240 --> 01:34:30,200
Speaker 1: on She made she made a caccio a peppe last night.

1714
01:34:30,240 --> 01:34:32,240
Speaker 1: You like Italian, right, Yeah, what in the world is

1715
01:34:32,280 --> 01:34:37,280
Speaker 1: that you don't know? Cacchioi peppe. Oh, it's like a

1716
01:34:37,360 --> 01:34:41,120
Speaker 1: spaghetti in like a in the Peccarino Romano cheese sauce

1717
01:34:41,200 --> 01:34:45,839
Speaker 1: with pepper. I'm sold. Yeah, yeah, it's it's it's like fancy.

1718
01:34:45,880 --> 01:34:49,600
Speaker 1: She's explained to me. It's fancy Italian macaroni basically like

1719
01:34:49,600 --> 01:34:52,120
Speaker 1: it's a fancy Italian macaroni and cheese, but it's with

1720
01:34:52,760 --> 01:34:55,840
Speaker 1: with spaghetti instead of you know, whatever you call the

1721
01:34:55,920 --> 01:34:59,200
Speaker 1: mac macaroni. But yeah, it's really really good. So yeah,

1722
01:34:59,240 --> 01:35:02,080
Speaker 1: I know. I'm We'll make it happen. You and missus

1723
01:35:02,080 --> 01:35:04,200
Speaker 1: Producer Mark, well have you guys? Oh, when when we're

1724
01:35:04,240 --> 01:35:07,559
Speaker 1: not under threat of Deblasio arresting us for socializing, then

1725
01:35:07,960 --> 01:35:09,599
Speaker 1: we can we can make you guys, Am I under

1726
01:35:09,640 --> 01:35:12,880
Speaker 1: extra threat. Now I don't I don't understand. Oh you

1727
01:35:12,920 --> 01:35:18,479
Speaker 1: mean that's de Blasio's Uh, he's going after certain people

1728
01:35:18,520 --> 01:35:20,200
Speaker 1: a little more than others. It seems, I don't know.

1729
01:35:20,400 --> 01:35:23,760
Speaker 1: I leave that to the mayor's office. He's not doing

1730
01:35:23,840 --> 01:35:25,599
Speaker 1: himself any favors. You're right, by the way, as as

1731
01:35:25,640 --> 01:35:28,599
Speaker 1: a personality, contest thing or as as a popularity contest,

1732
01:35:28,720 --> 01:35:32,280
Speaker 1: rather Deblasio. It's it's remarkable that this guy is the

1733
01:35:32,280 --> 01:35:34,000
Speaker 1: mayor of New York City. I will tell you this.

1734
01:35:34,320 --> 01:35:36,840
Speaker 1: I know crazy libs of all kinds. I know them

1735
01:35:37,000 --> 01:35:40,000
Speaker 1: from work, I know them personally. I have never heard

1736
01:35:40,000 --> 01:35:43,760
Speaker 1: a person make a case for Bill de Blasio being

1737
01:35:43,800 --> 01:35:46,920
Speaker 1: anything other than terrible. Never. I've never met a human

1738
01:35:46,960 --> 01:35:48,840
Speaker 1: being who's like, I think Bill de Blasio does a

1739
01:35:48,840 --> 01:35:51,559
Speaker 1: really good job. And that's not I know. I know

1740
01:35:51,600 --> 01:35:54,400
Speaker 1: libs who love Pelosi, you know, yes, Queen, and I

1741
01:35:54,479 --> 01:35:57,080
Speaker 1: think she's amazing. I know libs who you know, name

1742
01:35:57,160 --> 01:36:00,720
Speaker 1: you're They love Adam Schiff, they you know, name your

1743
01:36:00,760 --> 01:36:03,120
Speaker 1: odious Democrat. And I can think of people that think

1744
01:36:03,160 --> 01:36:06,759
Speaker 1: that they're wonderful, wonderful, and I know them. I've never

1745
01:36:06,800 --> 01:36:08,840
Speaker 1: and just it's an anecdote, I know. But I mean,

1746
01:36:09,080 --> 01:36:11,920
Speaker 1: do you know anybody. No, I've never met one human

1747
01:36:12,000 --> 01:36:13,960
Speaker 1: being who likes built to Blasio. And yet he's the

1748
01:36:14,000 --> 01:36:16,920
Speaker 1: mayor and he wanted to run for president. How is

1749
01:36:16,960 --> 01:36:20,519
Speaker 1: it even possible? And he ran for president He really

1750
01:36:20,600 --> 01:36:22,840
Speaker 1: legitimately thought he was going to win the president. Oh

1751
01:36:22,920 --> 01:36:27,200
Speaker 1: my gosh, it's just stunning anyway, All right, roll call

1752
01:36:27,240 --> 01:36:29,840
Speaker 1: remember Bucksexton dot com and also YouTube dot com slash

1753
01:36:29,840 --> 01:36:33,040
Speaker 1: buck Sexton want to get as much digital Team buck

1754
01:36:33,120 --> 01:36:36,000
Speaker 1: action going as we possibly can. Just more ways for

1755
01:36:36,080 --> 01:36:38,920
Speaker 1: us all to keep in touch, more content, and more

1756
01:36:38,960 --> 01:36:40,640
Speaker 1: ways to keep you safe and warm at night. And

1757
01:36:40,640 --> 01:36:43,000
Speaker 1: with that in mind, Mark writes in hey Buck producer, Mark,

1758
01:36:43,520 --> 01:36:46,360
Speaker 1: you and Tulula keep me safe and warm at night.

1759
01:36:46,640 --> 01:36:48,800
Speaker 1: Thank you so much. I live in the foothills of Colorado.

1760
01:36:49,280 --> 01:36:52,000
Speaker 1: My wife and I own a small, one chair hair salon.

1761
01:36:52,400 --> 01:36:54,920
Speaker 1: Our governor laid out a reopening plan set to start

1762
01:36:54,960 --> 01:36:58,680
Speaker 1: today April twenty seventh. My wife started booking clients and

1763
01:36:58,680 --> 01:37:01,559
Speaker 1: we were very optimistic about getting back to normal. Then

1764
01:37:01,640 --> 01:37:04,679
Speaker 1: on Friday, Denver County announced the stay at home order

1765
01:37:04,840 --> 01:37:07,880
Speaker 1: was to remain in effect till May eighth. Then our

1766
01:37:07,960 --> 01:37:12,000
Speaker 1: county quickly followed suit on Friday. As a former sheriff's deputy,

1767
01:37:12,040 --> 01:37:15,519
Speaker 1: I constantly question the constitutionality of all this. How can

1768
01:37:15,560 --> 01:37:18,839
Speaker 1: a county health official tell us our legal small business

1769
01:37:18,960 --> 01:37:22,200
Speaker 1: is now illegal to operate without any subsidy and without

1770
01:37:22,240 --> 01:37:25,559
Speaker 1: suspending rent and mortgages. Keep up the good work, boys,

1771
01:37:25,600 --> 01:37:27,760
Speaker 1: You're the highlight insanity of my daily routine. Well, Mark,

1772
01:37:27,800 --> 01:37:30,840
Speaker 1: that's really high praise and we appreciate that. It's very

1773
01:37:30,920 --> 01:37:33,400
Speaker 1: kind of you, and that's why we keep doing what

1774
01:37:33,439 --> 01:37:35,720
Speaker 1: we do here every day. So thank you so much

1775
01:37:35,760 --> 01:37:42,840
Speaker 1: for that. Yeah. Absolutely absolutely. As for the constitutionality of

1776
01:37:42,880 --> 01:37:48,439
Speaker 1: this and the capricious nature of the state authorities that

1777
01:37:48,479 --> 01:37:51,080
Speaker 1: are pushing these shutdowns, look, I can't tell you that

1778
01:37:51,120 --> 01:37:53,640
Speaker 1: this is anything other than what it is, which is

1779
01:37:53,640 --> 01:37:57,840
Speaker 1: bad and it's overreach and it's a problem. So but

1780
01:37:57,880 --> 01:38:01,120
Speaker 1: thank you for listening out in the foothills of Colorado.

1781
01:38:01,360 --> 01:38:04,679
Speaker 1: We appreciate it. Andrew. Oh On one more note, guys,

1782
01:38:04,840 --> 01:38:06,560
Speaker 1: when you write in if you listen on one of

1783
01:38:06,560 --> 01:38:09,840
Speaker 1: our affiliate stations, if you don't mind, please do right in.

1784
01:38:09,920 --> 01:38:13,519
Speaker 1: You know, if you listen on you know WHOA Whoa

1785
01:38:13,600 --> 01:38:16,880
Speaker 1: and Fort Wayne, Indiana, or KLBJ in Austin, or Freedom

1786
01:38:16,960 --> 01:38:21,280
Speaker 1: ninety three seven in Denver, or or our wonderful new

1787
01:38:21,320 --> 01:38:25,760
Speaker 1: affiliate in uh San Diego or our affiliate up in

1788
01:38:26,320 --> 01:38:29,960
Speaker 1: you name it. I mean, wherever we are and you're listening, um,

1789
01:38:30,000 --> 01:38:33,560
Speaker 1: please please do uh you know WCBM Baltimore. Kind I

1790
01:38:33,600 --> 01:38:35,600
Speaker 1: give Baltimore shout out. We do by the way, I

1791
01:38:35,640 --> 01:38:37,120
Speaker 1: want to say thank you to all the people who

1792
01:38:37,120 --> 01:38:41,439
Speaker 1: listen on WCBM Baltimore, because we've been fantastic with the

1793
01:38:41,520 --> 01:38:43,360
Speaker 1: numbers there. A lot of you are still listening, a

1794
01:38:43,360 --> 01:38:45,280
Speaker 1: lot of you are tuning in, and it means a lot.

1795
01:38:45,320 --> 01:38:48,080
Speaker 1: That's a top fifty market for us, and I just

1796
01:38:48,439 --> 01:38:50,800
Speaker 1: we Mark and I extend you our thanks for making

1797
01:38:50,840 --> 01:38:53,559
Speaker 1: sure that we are resonating with the with the great

1798
01:38:53,560 --> 01:38:57,360
Speaker 1: people of Baltimore and the surrounding area. So yeah, please

1799
01:38:57,360 --> 01:38:59,080
Speaker 1: do let us know what station you listen on. If

1800
01:38:59,120 --> 01:39:02,320
Speaker 1: you listen on a state, that's a helpful thing for us.

1801
01:39:02,720 --> 01:39:06,400
Speaker 1: Andrew Buck readings from Minnesota yesterday in roll Call, you

1802
01:39:06,479 --> 01:39:10,479
Speaker 1: question the idea of people voluntarily not working affecting more

1803
01:39:10,560 --> 01:39:14,519
Speaker 1: than the restaurant industry, did I I can tell you

1804
01:39:14,520 --> 01:39:16,240
Speaker 1: that I don't remember doing that. I can tell you

1805
01:39:16,240 --> 01:39:18,519
Speaker 1: that my immediate neighbors are two contractors and a husband

1806
01:39:18,560 --> 01:39:20,880
Speaker 1: wife daughter team who run an eye care clinic. The

1807
01:39:21,000 --> 01:39:24,479
Speaker 1: contractors have projects scheduled and our work restrictions are now lifted,

1808
01:39:24,760 --> 01:39:28,599
Speaker 1: but their workers make more by claiming unemployment. The eye

1809
01:39:28,600 --> 01:39:31,280
Speaker 1: care people have complained of their employees getting coached by

1810
01:39:31,280 --> 01:39:33,559
Speaker 1: liberal employees on how to make the most of the

1811
01:39:33,560 --> 01:39:36,200
Speaker 1: benefit system, and it's hanging the clinic out to dry.

1812
01:39:37,520 --> 01:39:41,080
Speaker 1: One of their employees told them to take Pennsylvania Governor

1813
01:39:41,120 --> 01:39:44,040
Speaker 1: Tom Wolfe's advice and just pay your employees more if

1814
01:39:44,040 --> 01:39:47,200
Speaker 1: management wants them to come back to work. When Minnesota's

1815
01:39:47,200 --> 01:39:48,640
Speaker 1: are being that rude to each other, you know, things

1816
01:39:48,680 --> 01:39:51,880
Speaker 1: are getting weird out there. Yeah, Andrew, thank you for

1817
01:39:51,920 --> 01:39:54,240
Speaker 1: the heads up on this. Makes sense to me that

1818
01:39:54,240 --> 01:39:56,559
Speaker 1: there will be other businesses too, because the paycheck protection

1819
01:39:56,600 --> 01:39:59,040
Speaker 1: program is not just for restaurants, So there must be

1820
01:39:59,080 --> 01:40:03,200
Speaker 1: other businesses where the financial incentive is now stronger to

1821
01:40:03,240 --> 01:40:05,920
Speaker 1: stay at home than it is to work, and that's

1822
01:40:06,000 --> 01:40:08,800
Speaker 1: clearly counterproductive for those of us who want to get

1823
01:40:08,840 --> 01:40:13,000
Speaker 1: the economy up and running again. So thank you for

1824
01:40:13,160 --> 01:40:15,320
Speaker 1: bringing me that, you know, that sense of what's going

1825
01:40:15,320 --> 01:40:17,920
Speaker 1: on Minnesota. It's true, Minnesotas are so nice. There's such

1826
01:40:18,000 --> 01:40:21,160
Speaker 1: nice people. Minnesotas are so nice. They're a bunch of

1827
01:40:21,320 --> 01:40:23,160
Speaker 1: I wonder, what have they ever done a study of

1828
01:40:23,160 --> 01:40:25,400
Speaker 1: what the how would you engage this? But I'm curious

1829
01:40:25,400 --> 01:40:27,439
Speaker 1: what the nicest state is like. If I ask you,

1830
01:40:27,479 --> 01:40:29,680
Speaker 1: producer Mark, what state is the friend When I say

1831
01:40:29,680 --> 01:40:33,080
Speaker 1: the nicest, the friendliest, Like strangers are the friendliest to

1832
01:40:33,120 --> 01:40:35,360
Speaker 1: you in what state? What would you say? It's definitely

1833
01:40:35,400 --> 01:40:37,120
Speaker 1: not New York. In New Jersey we know that. I mean,

1834
01:40:37,680 --> 01:40:40,639
Speaker 1: I will say about New Yorkers, they are kind to

1835
01:40:40,680 --> 01:40:44,800
Speaker 1: each other sometimes, like when we come together. I was

1836
01:40:44,840 --> 01:40:47,400
Speaker 1: going to say, we come through for each other when

1837
01:40:47,439 --> 01:40:51,720
Speaker 1: it counts, right, Like New Yorkers, Well, we do our thing,

1838
01:40:51,720 --> 01:40:55,280
Speaker 1: we do our thing, but you know, we'll see something

1839
01:40:55,320 --> 01:40:57,639
Speaker 1: wrong going down, or we'll see somebody who's in need,

1840
01:40:57,840 --> 01:40:59,760
Speaker 1: and New Yorkers will go to the mat for each

1841
01:40:59,800 --> 01:41:03,000
Speaker 1: other when it counts, but we're not like, oh, hey,

1842
01:41:03,000 --> 01:41:05,000
Speaker 1: how's your day? Oh my days for you though, That's

1843
01:41:05,040 --> 01:41:08,200
Speaker 1: that's not our way. So where do you find And

1844
01:41:08,240 --> 01:41:09,839
Speaker 1: by the way, I think that's in a stude observation

1845
01:41:09,880 --> 01:41:11,400
Speaker 1: you have and I totally agree with you about that

1846
01:41:11,400 --> 01:41:14,559
Speaker 1: that we you know, New Yorkers will surprise people by

1847
01:41:14,640 --> 01:41:16,040
Speaker 1: what they're willing. I mean, I can't tell you how

1848
01:41:16,080 --> 01:41:18,120
Speaker 1: many times I've seen stuff go on in this city

1849
01:41:18,360 --> 01:41:20,280
Speaker 1: and I'm just like, that's that's how, that's how we

1850
01:41:20,320 --> 01:41:22,000
Speaker 1: do it here, like when someone is in an accent

1851
01:41:22,160 --> 01:41:23,960
Speaker 1: or something. Now, you could say this is true everywhere,

1852
01:41:24,000 --> 01:41:26,280
Speaker 1: but New Yorkers really go to extreme lengths. I can't

1853
01:41:26,280 --> 01:41:29,799
Speaker 1: tell you how many people I've seen help mothers carry

1854
01:41:30,120 --> 01:41:37,320
Speaker 1: very heavy strollers down narrow, slippery subway stairs, which sounds

1855
01:41:37,360 --> 01:41:39,240
Speaker 1: like it's not a big deal, But let me tell

1856
01:41:39,240 --> 01:41:44,599
Speaker 1: you something, as somebody who has humble brag, carried a

1857
01:41:44,680 --> 01:41:47,439
Speaker 1: few strollers for strangers with the kid in the stroller

1858
01:41:47,520 --> 01:41:50,160
Speaker 1: because there's a baby. So you've got someone else's baby

1859
01:41:50,240 --> 01:41:52,720
Speaker 1: that you're kind of now responsible for the safety of.

1860
01:41:52,960 --> 01:41:55,160
Speaker 1: You're trying not to fall down the stairs and crack

1861
01:41:55,240 --> 01:41:57,840
Speaker 1: your skull open, and you're hoping you don't throw your

1862
01:41:57,880 --> 01:42:00,599
Speaker 1: back out, you know what I mean. Yeah, I've seen

1863
01:42:00,640 --> 01:42:02,840
Speaker 1: that happen as well. I don't really help because I

1864
01:42:02,880 --> 01:42:05,719
Speaker 1: would fall with the stroller, so that caused two problems.

1865
01:42:06,080 --> 01:42:09,439
Speaker 1: But there is a website called Big seven Travel and

1866
01:42:09,560 --> 01:42:12,439
Speaker 1: it's as Minnesota as the friendliest state, followed by Tennessee.

1867
01:42:12,840 --> 01:42:15,920
Speaker 1: I was gonna say, people would usually think it's Minnesota.

1868
01:42:16,080 --> 01:42:18,240
Speaker 1: Would you like to know where New York is? Everyone's

1869
01:42:18,280 --> 01:42:24,479
Speaker 1: real friendly. Where's New York? Yeah? People were very when

1870
01:42:24,520 --> 01:42:26,680
Speaker 1: I was in Nashville, people were very nice in Tennessee.

1871
01:42:27,439 --> 01:42:29,240
Speaker 1: It is true people are friendlier in the South. I

1872
01:42:29,240 --> 01:42:30,960
Speaker 1: mean when I go down, when I go down to

1873
01:42:31,000 --> 01:42:35,280
Speaker 1: the Carolinas or to Georgia, everyone's so nice. Texas people

1874
01:42:35,280 --> 01:42:37,120
Speaker 1: are like, hey, how you doing it. I'm like, you

1875
01:42:37,200 --> 01:42:40,120
Speaker 1: actually cared, don't you. You're like, hey, I hope the

1876
01:42:40,200 --> 01:42:43,599
Speaker 1: stranger is having a good day. I think why New

1877
01:42:43,640 --> 01:42:45,679
Speaker 1: York gets a bad rap. If you see a tourist,

1878
01:42:45,720 --> 01:42:48,040
Speaker 1: and I'm sure you're guilty of as I am. If

1879
01:42:48,040 --> 01:42:50,920
Speaker 1: they stop in the middle of a sidewalk to take

1880
01:42:50,920 --> 01:42:53,240
Speaker 1: a picture or something stupid, you shove them a little.

1881
01:42:53,560 --> 01:42:55,479
Speaker 1: We have rules here, yeah, and you gotta know the rule.

1882
01:42:55,520 --> 01:42:57,360
Speaker 1: The rules are you walk fast, or you get out

1883
01:42:57,400 --> 01:42:59,559
Speaker 1: of the way. You don't take too much time when

1884
01:42:59,560 --> 01:43:01,479
Speaker 1: you're ordered food because you look at the menu before

1885
01:43:01,520 --> 01:43:03,120
Speaker 1: you get to the front of the line. You know,

1886
01:43:03,240 --> 01:43:04,960
Speaker 1: we have rules. That's the thing, you know. Where we're

1887
01:43:05,000 --> 01:43:06,880
Speaker 1: on the New Yorkers are all a time crunch, so

1888
01:43:06,920 --> 01:43:09,200
Speaker 1: it seems like we're rude when really we're just trying

1889
01:43:09,200 --> 01:43:11,519
Speaker 1: to move fast, which sometimes makes us rude. Yeah, and

1890
01:43:11,520 --> 01:43:14,120
Speaker 1: when chorus getting our way, we don't like it. I

1891
01:43:14,160 --> 01:43:16,120
Speaker 1: also feel like there's a there's a there's a sort

1892
01:43:16,120 --> 01:43:20,160
Speaker 1: of understood language, like sometimes if someone accelerates toward you

1893
01:43:20,240 --> 01:43:22,200
Speaker 1: in New York and you're in the crosswalk. This is

1894
01:43:22,240 --> 01:43:24,519
Speaker 1: when life was normal and there were cars driving around.

1895
01:43:24,880 --> 01:43:27,160
Speaker 1: You know, you flip it, you know, you flip them

1896
01:43:27,160 --> 01:43:29,200
Speaker 1: the bird and they honk at you, and it's like yeah,

1897
01:43:29,760 --> 01:43:31,680
Speaker 1: and you're not even really mad at them. But that's

1898
01:43:31,680 --> 01:43:34,000
Speaker 1: just the way we communicate here. Oh. I used to

1899
01:43:34,040 --> 01:43:36,640
Speaker 1: get into the right by our old building before we

1900
01:43:36,680 --> 01:43:38,640
Speaker 1: move downtown. There was like a stop sign in the

1901
01:43:38,680 --> 01:43:42,160
Speaker 1: middle of the street for pedestrians to go by. So

1902
01:43:42,280 --> 01:43:45,840
Speaker 1: many taxis wouldn't stop and almost hit me. I swear

1903
01:43:45,840 --> 01:43:47,719
Speaker 1: I almost came to blows with a couple of taxi drivers.

1904
01:43:47,720 --> 01:43:49,519
Speaker 1: So that's yeah. But this is this is like, you know,

1905
01:43:49,560 --> 01:43:52,280
Speaker 1: you throw them the one finger salute, they honk at you,

1906
01:43:52,640 --> 01:43:55,280
Speaker 1: You go about your married day, and you know, you

1907
01:43:55,360 --> 01:43:56,760
Speaker 1: kind of get a little stress out. I don't know,

1908
01:43:56,760 --> 01:43:58,479
Speaker 1: it's just it's just the way it is here. It's

1909
01:43:58,520 --> 01:44:01,000
Speaker 1: kind of a it's called a New York alone. Yeah,

1910
01:44:01,040 --> 01:44:02,960
Speaker 1: that's how we do it. It's different in other places.

1911
01:44:03,240 --> 01:44:07,640
Speaker 1: In Minnesota, you know what they call a hello Hello,

1912
01:44:08,920 --> 01:44:11,360
Speaker 1: that's right, not anymore, but they used to hug you.

1913
01:44:13,840 --> 01:44:16,839
Speaker 1: You're in the Freedom Hut. This is the buck Sexton

1914
01:44:16,920 --> 01:44:24,679
Speaker 1: Show podcast are more more roll Call here, Willis writes

1915
01:44:24,720 --> 01:44:27,640
Speaker 1: in good Call on the Waco series. Just started it

1916
01:44:27,760 --> 01:44:30,559
Speaker 1: last night. Keep the suggestions coming, all right, man, Willis.

1917
01:44:30,560 --> 01:44:32,439
Speaker 1: First of all, I'm glad you enjoy the Waco series.

1918
01:44:32,479 --> 01:44:35,200
Speaker 1: I think it's excellent. My suggestions for you right now

1919
01:44:35,320 --> 01:44:37,680
Speaker 1: for things to watch that are out there, watch The

1920
01:44:37,720 --> 01:44:39,920
Speaker 1: Michael And this one's from producer Mark, The Last Dance,

1921
01:44:39,960 --> 01:44:44,840
Speaker 1: The Michael Jordan documentary ESPN fantastic, The Last Kingdom season four.

1922
01:44:44,880 --> 01:44:47,040
Speaker 1: If you have seen the other seasons, you need to

1923
01:44:47,080 --> 01:44:49,759
Speaker 1: watch this one. If you haven't seen The Last Kingdom

1924
01:44:49,760 --> 01:44:52,559
Speaker 1: on Netflix, highly recommend it. It's like Vikings, but I

1925
01:44:52,560 --> 01:44:55,760
Speaker 1: think even a little better than the show Vikings. So

1926
01:44:55,800 --> 01:44:58,599
Speaker 1: The Last Kingdom Waco, as I've mentioned to you, is

1927
01:44:58,680 --> 01:45:02,240
Speaker 1: just it's ripping. It's so well done, and it's an

1928
01:45:02,240 --> 01:45:04,800
Speaker 1: excellent producer. Mark gave us the Last Dance. Do you

1929
01:45:04,840 --> 01:45:07,040
Speaker 1: have another break, producer, Mark, other than the Creek that

1930
01:45:07,080 --> 01:45:09,040
Speaker 1: we the Creek that shall not be named because we

1931
01:45:09,040 --> 01:45:11,639
Speaker 1: can't say it on air. Yes, so I'll say Silicon Valley.

1932
01:45:11,640 --> 01:45:14,080
Speaker 1: I'm only three seasons in, but I love it so far.

1933
01:45:14,520 --> 01:45:16,559
Speaker 1: Very good show. I knew that would one one would

1934
01:45:16,560 --> 01:45:18,320
Speaker 1: be right up your alley. I mean, I think Silicon

1935
01:45:18,439 --> 01:45:20,160
Speaker 1: Valley's excellent. So you got a bunch of recks there.

1936
01:45:20,560 --> 01:45:22,759
Speaker 1: Oh and if you want something to watch with the misses,

1937
01:45:23,320 --> 01:45:26,960
Speaker 1: The Crown is a show that the dudes and the

1938
01:45:27,040 --> 01:45:29,439
Speaker 1: ladies can watch together and I think equally enjoy. It's

1939
01:45:29,479 --> 01:45:31,519
Speaker 1: a very good show for what a day. A little

1940
01:45:31,720 --> 01:45:33,960
Speaker 1: a little understated, a little bit. It can be a

1941
01:45:34,000 --> 01:45:37,280
Speaker 1: little slow, but it's the acting and the writing is excellent.

1942
01:45:37,640 --> 01:45:42,000
Speaker 1: The costuming and sets our cinematic quality. You'll you'll see

1943
01:45:42,000 --> 01:45:43,960
Speaker 1: what I mean. And you watch it with the wife,

1944
01:45:43,960 --> 01:45:45,200
Speaker 1: you'd be like, oh, look at he's kind of a

1945
01:45:45,280 --> 01:45:49,640
Speaker 1: sensitive sophistic He's a sophisticated fellow, isn't He likes to

1946
01:45:49,640 --> 01:45:54,120
Speaker 1: watch the crowd and drink tea, eat crumpets. All right,

1947
01:45:54,280 --> 01:45:57,840
Speaker 1: John Buck. I'm a political science major. Just finished a

1948
01:45:57,920 --> 01:46:00,920
Speaker 1: class called research and Writing and poly saw. We learned

1949
01:46:00,920 --> 01:46:03,360
Speaker 1: a lot about polling and how to account for influences

1950
01:46:03,360 --> 01:46:05,400
Speaker 1: in a sample group. That got me thinking about the

1951
01:46:05,439 --> 01:46:09,080
Speaker 1: odds of liberal COVID patients who are prescribed hydroxy chloroquin

1952
01:46:09,960 --> 01:46:13,719
Speaker 1: and not taking it. Since the drug has been politicized, However,

1953
01:46:13,760 --> 01:46:16,320
Speaker 1: I doubt that if that were happening, it would be

1954
01:46:16,360 --> 01:46:19,639
Speaker 1: a high enough number of patients to impact the results.

1955
01:46:19,680 --> 01:46:24,120
Speaker 1: What do you think, John, I don't think that anybody

1956
01:46:24,200 --> 01:46:26,920
Speaker 1: who is advised by their doctor when their life is

1957
01:46:26,920 --> 01:46:28,879
Speaker 1: really on the line to take a drug like hydroxy

1958
01:46:28,960 --> 01:46:32,519
Speaker 1: chloroquin would say no because of the politics. But then again,

1959
01:46:32,560 --> 01:46:36,519
Speaker 1: people are nuts, so I can't I don't have a

1960
01:46:36,520 --> 01:46:38,000
Speaker 1: good read on this. I'm not seeing the matrix on

1961
01:46:38,040 --> 01:46:39,479
Speaker 1: this one. I don't have a good read on this one.

1962
01:46:40,760 --> 01:46:45,360
Speaker 1: As for hydroxy chloroquin, so far, the belief has really

1963
01:46:45,400 --> 01:46:47,920
Speaker 1: switched now based on what doctors have seen. This is

1964
01:46:47,960 --> 01:46:49,880
Speaker 1: not a belief that comes out of nowhere that it

1965
01:46:49,960 --> 01:46:53,400
Speaker 1: might be best as a either early intervention to prevent

1966
01:46:53,439 --> 01:46:55,960
Speaker 1: the virus from replicating or as a just a straight

1967
01:46:56,040 --> 01:47:00,280
Speaker 1: up prophylactic against virus, against the virus, establishing and effect.

1968
01:47:01,040 --> 01:47:04,639
Speaker 1: William Greetings, bucking Mark. It seems clear that the only

1969
01:47:04,640 --> 01:47:07,759
Speaker 1: metrics the Democrat of the media, that the only metric

1970
01:47:09,000 --> 01:47:11,120
Speaker 1: when it comes to open the country is after the election,

1971
01:47:11,160 --> 01:47:13,160
Speaker 1: or at least to wait until they think they have

1972
01:47:13,400 --> 01:47:17,400
Speaker 1: sunken Trump's chances or sunk Trump's chances they want the

1973
01:47:17,439 --> 01:47:20,479
Speaker 1: economic recovery to come under their guidance so they can

1974
01:47:20,479 --> 01:47:28,160
Speaker 1: claim credit for saving the country. Open the country, shields high. Yeah,

1975
01:47:28,280 --> 01:47:30,920
Speaker 1: so you're correct about a lot of a lot of

1976
01:47:30,920 --> 01:47:34,360
Speaker 1: politics at play here and the slow nature of reopening

1977
01:47:34,400 --> 01:47:36,760
Speaker 1: the country. That has to do with those politics for

1978
01:47:36,880 --> 01:47:39,800
Speaker 1: the left. So we'll have to see how this continues.

1979
01:47:39,840 --> 01:47:42,800
Speaker 1: This fight is ongoing, and we will need our our

1980
01:47:42,840 --> 01:47:44,760
Speaker 1: shields high because this is not This is gonna get ugly.

1981
01:47:44,760 --> 01:47:46,960
Speaker 1: It's gonna get very ugly. I'm already seeing some guy

1982
01:47:47,040 --> 01:47:49,400
Speaker 1: got arrested in North Carolina. This just broke today because

1983
01:47:49,400 --> 01:47:51,360
Speaker 1: he opened his tattoo parlor. Get ready for more of that,

1984
01:47:51,479 --> 01:47:55,120
Speaker 1: more non compliance, it's gonna happen. Mark writes a lot

1985
01:47:55,160 --> 01:47:58,840
Speaker 1: of Mark's write again. Producer Mark reboard Last Night Buck

1986
01:47:58,880 --> 01:48:03,960
Speaker 1: producer Mark Trader sells crumpets same section as English muffins. Okay,

1987
01:48:04,000 --> 01:48:06,920
Speaker 1: good to know, but are they gluten free? That's gonna

1988
01:48:06,920 --> 01:48:09,479
Speaker 1: be the show for today. Everybody back tomorrow, same time

1989
01:48:09,520 --> 01:48:11,960
Speaker 1: and place shields high.