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Speaker 1: You are entering the freedom hunt. Democrats are terrified of

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Speaker 1: an economic rebound. Are COVID deaths overcounted? We're undercounted in states.

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Speaker 1: The District of Columbia has a reopened checklist. How the

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Speaker 1: media is only going to get more partisan? The Ultimate

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Speaker 1: Karen video goes viral and a frisky Canadian gets on

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Speaker 1: TV and gets into hot water. Coming up, this is

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Speaker 1: the Buck Sexon Show, where the mission or mission is

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

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Speaker 1: you're great American Again. The Buck Sexon Show begins analyst,

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Speaker 1: he's a great guy. Now, welcome everybody to the Buck

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Speaker 1: Sexton Show. I trust you had a good holiday weekend,

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Speaker 1: time with friends, family, time to reflect a bit on

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Speaker 1: what the weekend really means. Hopefully you're at least able

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Speaker 1: to zoom call with loved ones if you weren't able

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Speaker 1: to be with them. I'm increasingly intolerant of the insanity

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Speaker 1: out there. I increasingly find myself unable to excuse the

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Speaker 1: extreme fearmongering that's still going on, especially as I walk

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Speaker 1: around and see people who are as I did yesterday

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Speaker 1: here in New York City, I took a stroll down

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Speaker 1: the Hudson River, once the most important waterway in America

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Speaker 1: and the early years of our republic, and now a

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Speaker 1: river that feels like doesn't get much attention. But I

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Speaker 1: took a walk along it beautiful day, and there are

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Speaker 1: people bicycling, jogging with masks on, jogging and bicycling with

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Speaker 1: masks on. This has become absurd beyond words. There's no

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Speaker 1: reason for this. And if it were just people making

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Speaker 1: this decision, if it were people who decided for themselves

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Speaker 1: that they were they were going to take this step,

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Speaker 1: that's fine. But you are expected to do this as well.

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Speaker 1: You're expected to do this. There's a video that went

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Speaker 1: viral over the weekend of people in Staten Island, New

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Speaker 1: York who saw someone in a grocery store who did

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Speaker 1: not have a mask on, and instead of just going

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Speaker 1: up to management, instead of saying, hey, would you mind

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Speaker 1: putting on a mask? Which I also think, let's remember

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Speaker 1: the chance that this person happens to be this person

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Speaker 1: happens to have a viral load that is transmissible is

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Speaker 1: about one less than one percent by the numbers, So

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Speaker 1: you've got a person who is ninety nine percent likely

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Speaker 1: to be entirely healthy, no risk to anyone who doesn't

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Speaker 1: have a mask indoors. I understand businesses can request that

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Speaker 1: people wear a mask, but remember it's also a state mandate,

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Speaker 1: so it's not really just private businesses. This is a

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Speaker 1: government mandate that private businesses have now adopted because they've

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Speaker 1: been told to. So it's a little more complicated than

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Speaker 1: just the free market is speaking. No, this is Cuomo.

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Speaker 1: This is various governors, various officials in cities across the country.

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Speaker 1: This is their decision. And this is still happening here

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Speaker 1: while God bless you. Down in Texas, down in Georgia,

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Speaker 1: down in Florida, people are living their lives again. Wow,

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Speaker 1: what a thing that is. But there was this gathering

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Speaker 1: in Stein Island, a lot of cursing, a lot of nastiness.

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Speaker 1: They gathered together in a mob. They were just missing

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Speaker 1: the torches and the pitchforks, screaming at this person, you know,

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Speaker 1: to get out of you know, get the bleep out

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Speaker 1: of here, and bleep this and bleep that. And look,

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Speaker 1: it was stann Island, so people are going to have

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Speaker 1: the salty language. But they were yelling and saying you

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Speaker 1: must leave right away. And that was the gentle way

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Speaker 1: of saying it. And I see this, and I just

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Speaker 1: I'm angry because of this mob mentality that has shown up.

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Speaker 1: And it's also a reminder that this is this is

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Speaker 1: not voluntary, right, this is now all being driven by fear,

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Speaker 1: by paranoia, by government mandate. Cases are going down dramatically.

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Speaker 1: They have gone down. I mean the point now in

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Speaker 1: New York, the worst place in the whole country for

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Speaker 1: COVID nineteen, we're at APLE a couple of hundred new

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Speaker 1: hospital admissions a day. We were at a few thousand,

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Speaker 1: so we're at a tiny fraction of where we were.

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Speaker 1: And yet somehow people are more terrified than ever because

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Speaker 1: oh my gosh, if we reopen, then we're all gonna die. No,

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Speaker 1: it turns out we're not all going to die from this,

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Speaker 1: well we are, I mean, as I am find of

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Speaker 1: pointing out, we are in fact all going to die,

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Speaker 1: which those of us on the right, and I will

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Speaker 1: just say it, people that tend to have a connection

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Speaker 1: to the religious and the spiritual, I think perhaps are

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Speaker 1: more accepting of this end state that we are all

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Speaker 1: going to at least when it comes to how it

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Speaker 1: affects their perception of public policy. You know, a lot

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Speaker 1: a lot of left wing socialist atheist types like, oh

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Speaker 1: my gosh, the state, we'll protect us. Nope, no, we're

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Speaker 1: actually all going to die. But we're not all going

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Speaker 1: to die from COVID nineteen. In fact, a very small

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Speaker 1: percentage of us will. And it is a manageable public

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Speaker 1: health problem now, the same way that other diseases out

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Speaker 1: there that have killed in the aggregate far more people.

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Speaker 1: You know, if we only end up having one season

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Speaker 1: of COVID nineteen, let's remember, then our yearly toll for

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Speaker 1: the last ten years or for the next ten years

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Speaker 1: from flu will will dwarf, the will far exceed the

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Speaker 1: number of people that have died from this, assuming that

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Speaker 1: it's a one year count. But we'll have to see,

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Speaker 1: we'll have to see. But this is now going to

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Speaker 1: be a debate that stretches into not just the fall,

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Speaker 1: but how many how many times our public health authorities

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Speaker 1: going to make these kinds of proclamations, even when they've

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Speaker 1: been wrong, wrong, and wrong again. I see that Texas,

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Speaker 1: for example, I mentioned Texas before they had on I

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Speaker 1: believe it was Memorial Day, the governor tweeted out they've

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Speaker 1: had the fewest fatality since the end of March, the

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Speaker 1: fewest COVID hospitalization since the middle of April, and the

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Speaker 1: second most recoveries from COVID in America, and yet in

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Speaker 1: other places in Blue States, people are still even more

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Speaker 1: scared now than they were a few weeks ago. Numbers

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Speaker 1: are going down, cases are going down. It's clear from

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Speaker 1: serology testing that you have probably thirty million people in

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Speaker 1: this country have been infected with this. That's the best

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Speaker 1: that's the best estimate they have now, but it's based

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Speaker 1: on real data. So you know, close to ten percent

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Speaker 1: of the US population has either been in or head

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Speaker 1: antibodies to this, and it could be more. But that

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Speaker 1: doesn't somehow affect the Democrat perception that this is in

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Speaker 1: fact much less horrific. It's still terrible. We've lost so

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Speaker 1: many people. I saw the New York Times front page

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Speaker 1: a few days ago over one hundred thousand dead from this.

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Speaker 1: And I know that there's some back and forth on

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Speaker 1: the count, but whether it's eighty thousand or one hundred

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Speaker 1: and twenty thousand, it's far too many people who have

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Speaker 1: died from this. It's a horrible tragedy, but we do

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Speaker 1: suffer tragedies as a society. This can whether it's war

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Speaker 1: or disease. We're lucky we haven't suffered famine. Although keep

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Speaker 1: shutting down the economy indefinitely and keep doing this, and

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Speaker 1: who knows what will happen to the food supply in time.

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Speaker 1: I'm not saying it's going to be a problem right now,

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Speaker 1: but you can't keep doing this shutdown thing. This has

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Speaker 1: been this look. The shutdown was the universal shutdown was

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Speaker 1: the wrong move. It was the wrong choice, and you're

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Speaker 1: going to have a fight about this that stretches not

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Speaker 1: just through this election, but stretches on for years, for

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Speaker 1: decades to come, because this is not the last time

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Speaker 1: we will be faced with this situation of a rapidly

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Speaker 1: spreading and fatal question of how fatal disease? Right? We

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Speaker 1: thought it was much more fatal in the early stages

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Speaker 1: of this, but somehow we've made it through the gauntlet.

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Speaker 1: We're trying to take our lives back. The President is

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Speaker 1: calling it a transition to greatness that we are about

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Speaker 1: to have as long as we can all go forward

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Speaker 1: as a country. And there are still people who are

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Speaker 1: holding back and certainly seem to be rooting for failure.

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Speaker 1: I don't know how else one could describe it. And

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Speaker 1: there is a piece in Politico, left wing site, but

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Speaker 1: occasionally some smart writing a piece and Politico called the

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Speaker 1: general action scenario that Democrats are dreading. And this is

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Speaker 1: putting into writing, This is letting us know what many

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Speaker 1: of us have been saying all along. We used to

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Speaker 1: be shoutowed down for this, even though it's obvious. And

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Speaker 1: that is the Democrats through a combination of their belief

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Speaker 1: in the overweening, overwhelming state, their desire to use this

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Speaker 1: as an opportunity to push us further closer to socialism,

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Speaker 1: and their sense that the state will protect you, and

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Speaker 1: their unwillingness to accept personal risk, and the fear mentality

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Speaker 1: that grips the left more than the right, not entirely,

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Speaker 1: but more than the right when it comes to matters

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Speaker 1: like this, and of course what the economy means for

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Speaker 1: the election. All these things are intertwined. But we know

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Speaker 1: that there is a large segment of the political and

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Speaker 1: ideological left that recognizes that if there's a recovery, if

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Speaker 1: there's even the beginning of a real recovery, a return

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Speaker 1: to optimism and a return to normalcy, things are going

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Speaker 1: to be much harder for Joe Biden. So this is

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Speaker 1: what we've been saying. We've known this right that Democrats

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Speaker 1: have been slow rolling this that behind closed doors, you know,

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Speaker 1: top strategists, this one being a top economist in the

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Speaker 1: Obama administration. They're now coming forward with this not because

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Speaker 1: they want to be honest about it, that's see, this

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Speaker 1: is why this is why you know there's some truth

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Speaker 1: to it, but because they want the Democrat messaging to

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Speaker 1: reflect this possibility. They're trying to get ahead of this,

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Speaker 1: which is that if we reopen and if the virus

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Speaker 1: is not nearly as bad in the rebound as people

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Speaker 1: have been assuming for the last few months, which looks

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Speaker 1: very It looks like we're going to have a strong summer,

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Speaker 1: my friends. The only thing that will prevent it, it's

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Speaker 1: not the virus. It's the stupidity of our public officials.

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Speaker 1: And I tell you, when the President promised me last

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Speaker 1: week in the Oval office was a real moment. You know,

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Speaker 1: he went out in Michigan. I don't think he had

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Speaker 1: made this promise to anybody before he told me, and

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Speaker 1: then he went out. Now I could be wrong on that,

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Speaker 1: but I this is the one thing I wanted to

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Speaker 1: use my opportunity. Well, we talked about a few things,

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Speaker 1: but those were off the record, the important stuff. But

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Speaker 1: the one thing that I knew i could say that

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Speaker 1: I wanted to get him on the record was that

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Speaker 1: they'll never do this lockdown, that the federal level will

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Speaker 1: never do this lockdown again. And people say, oh, but

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Speaker 1: it's not up to him. Well, if states think that

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Speaker 1: they're going to just trample on the constitutional rights and individuals,

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Speaker 1: guess what. The DOJ has a lot of lawyers and

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Speaker 1: endless resources. You know, it's a very different environment for

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Speaker 1: some of these governors if they're going to get dragged

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Speaker 1: into federal court right away. Now, I'm not saying we're

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Speaker 1: always gonna win. All you need is an Obama or

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Speaker 1: a Clinton judge, and sometimes even a Bush or a

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Speaker 1: Trump's judges are the best. Actually Trump's judges are the best.

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Speaker 1: But you know, a Bush judge even will let you

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Speaker 1: down on this stuff and decide to rule with the

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Speaker 1: leftist mob instead of the rule of law. But it's

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Speaker 1: a different situation. The federal government is committed to preventing

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Speaker 1: a second shutdown, and the President promised me that, and

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Speaker 1: then he went out in Michigan the next day said

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Speaker 1: it to the national press, and I probably should have

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Speaker 1: made a bigger deal out of it when he told me,

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Speaker 1: But I wanted to tell all of you first, no

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Speaker 1: second shutdown. Here's the problem for Democrats. There's no second shutdown. Well,

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Speaker 1: then what does the economy start to look like in

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Speaker 1: in August, September, October. It's definitely going to be better

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Speaker 1: than it is right now if we reopened and we

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Speaker 1: don't go back into the shutdown turtle in the shell

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Speaker 1: posture that we've had recently, which I think is not

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Speaker 1: supported by the facts in the day. At this point,

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Speaker 1: it was not the right move we've had. We've had

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Speaker 1: a horrific sacrifice here of our elderly in nursing homes,

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Speaker 1: elderly care facilities, the single most important thing for the government.

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Speaker 1: And to get right here in terms of protecting life

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Speaker 1: at the state level, they got wrong. This is a

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Speaker 1: state thing, it's not really a federal thing. They got

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Speaker 1: it wrong in New York, in New Jersey, place after place.

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Speaker 1: But remember, the Democrats are first and foremost power obsessed.

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Speaker 1: The left is power obsessed more than any principle, more

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Speaker 1: than any specific outcome. They want to be in charge.

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Speaker 1: They want to be in charge of you. And with that,

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Speaker 1: I now look at how this plays out for them.

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Speaker 1: And you have this piece in Politico that's saying, if

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Speaker 1: there's the beginning of an economic recovery, we are going

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Speaker 1: to be in really bad shape because it's going to

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Speaker 1: look like Trump can just tell the American people give

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Speaker 1: you more time, guys, we're back in action. That economy

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Speaker 1: you had in twenty nineteen, it's coming back in twenty

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Speaker 1: twenty one. Why do a big shift to Joe Biden

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Speaker 1: when we're in the right direction. Now we all know

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Speaker 1: that this was in external virus. We all know, so

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Speaker 1: they're going to have to prepare for that. But now

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Speaker 1: this gets us into which path to the Democrats push

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Speaker 1: for to extend the pain of the lockdowns we have.

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Speaker 1: We have breadlines, food lines here in New York City,

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Speaker 1: still thousands of people in them day in and day out, thousands.

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Speaker 1: Democrats don't care. They care so much about the poor,

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Speaker 1: not the people who can't feed themselves because of the

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Speaker 1: moronic continuation of these lockdowns. But oh, they care about

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Speaker 1: the poor so much. No, what they care about right

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Speaker 1: now is defeating Trump and the economy going poorly for

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Speaker 1: as long as possible. Being suppressed and stifled as long

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Speaker 1: as possible is clearly in the Democrat Party's interests, and

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Speaker 1: they are taking action based upon it. The numbers no

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Speaker 1: longer justify the economic shutdowns we have in these states.

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Speaker 1: You might say, well, buck, what about the governors. Don't

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Speaker 1: they want don't they want things to come back? No? No No,

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Speaker 1: no no. They're holding their economy's hostage to a federal

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Speaker 1: ail out. At this point, they feel like they can

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Speaker 1: just blame their federal government and all the shortfalls in

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Speaker 1: their budgets for the few months we've had here, and

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Speaker 1: then a few months ahead, federal government, Uncle Sam's going

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Speaker 1: to write them a check and they get to be

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Speaker 1: heroes and they get to say they saved lives, even

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Speaker 1: in places like New York, which has been a textbookcase

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Speaker 1: of bureaucratic and elected political leaders ineptitude, stupidity, and covering

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Speaker 1: their butts when things get really bad. That's what's happened here.

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Speaker 1: We need to reopen this country, but we need to

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Speaker 1: do it with an urgency that recognizes not only the

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Speaker 1: pain and suffering that people across this country have because

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Speaker 1: of the shutdown, but also understands the political dynamics, the

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Speaker 1: implications here of what the Democrats, what the left are

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Speaker 1: really rooting for, and what's in their interest. They have

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Speaker 1: to keep this suppressed as long as they can because

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Speaker 1: they know that even a minimal a minimal v recovery

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Speaker 1: or just the beginnings of what is clear economic strength.

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Speaker 1: I mean here, they're saying that there's the possibility that quote,

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Speaker 1: we are about to see the best economic data we've

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Speaker 1: seen in the history of the country in the third

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Speaker 1: quarter of this year. This is a former Obama administration

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Speaker 1: economist now professor at Harvard. He's saying, watch out, guys,

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Speaker 1: the Trump economy may come back, which we all know

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Speaker 1: would be fabulous for this country, including the idiot libs

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Speaker 1: who hate Trump, amazing for this country, and they don't

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Speaker 1: want that to happen. They'd rather be in power than

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Speaker 1: have all of us prosper. You're in the Freedom Hunt.

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Speaker 1: This is the Buck Sex and Show podcast. There's only

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Speaker 1: one set of numbers, right. This is not pick your

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Speaker 1: numbers here. We have statewide criteria. They are the same

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Speaker 1: all across the state, and we know where we are

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Speaker 1: on each of those criterion on any given day, and

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Speaker 1: they're posted on the website. So we all there's one

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Speaker 1: set of numbers. We all know the numbers. The question

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Speaker 1: is at what point do the numbers drop to the

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Speaker 1: reopening threshold. Now people can speculate, people can guess. I

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Speaker 1: think next week, I think two weeks, I think a month.

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Speaker 1: I'm out of that business because we all failed at

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Speaker 1: that business. Right, all the early national experts, here's my

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Speaker 1: projection model, here's my projection model. They were all wrong.

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Speaker 1: They're all wrong, indeed. But notice what happens here. Projections

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Speaker 1: were universally, it seems, shouted at all of us as

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Speaker 1: the justification for locking us down. But now when it

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Speaker 1: comes to projections to get as unlocked we let's not

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Speaker 1: make any projections here. Let's not use the numbers. Let's

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Speaker 1: not commit to two weeks from now. Let's see where

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Speaker 1: we are. Let's see where we are. That wasn't what

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Speaker 1: we were told at the beginning of this. Now you

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Speaker 1: could say, buckle, don't we want to learn from our mistakes? No,

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Speaker 1: I think it's more than that. I don't think they

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Speaker 1: want to learn from their mistakes, particularly in this regard.

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Speaker 1: They were happy to use the fearmongering models to get

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Speaker 1: what they wanted, which was this lockdown across the country,

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Speaker 1: because it keeps the public officials from having to bear

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Speaker 1: the responsibility in their minds, Oh, it's been taken out

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Speaker 1: of my hands. We'll just do this. But now that

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Speaker 1: it comes to reopening, drag their feet can't look at

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Speaker 1: the projections. Drag their feet can't look at the projections.

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Speaker 1: Quite a coincidence. Thanks for listening to The Bus Sesson

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

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Speaker 1: or wherever you get your podcasts. Why you wouldn't use

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Speaker 1: it it there's no legitimate rational explanation. Well, I don't

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Speaker 1: like the way it looks. You know what, paint something

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Speaker 1: on the mask, right, get a new color. You know,

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Speaker 1: you can get a designer mask. It's such a the opposition,

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Speaker 1: it's so trivial and nonsensical relative to the risk you

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Speaker 1: could get sick. You could make somebody else sick. Even

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Speaker 1: if you think you're a superman or superwoman, you could

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Speaker 1: bring the virus home and get someone sick and it

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Speaker 1: winds up killing them. So it's just it's not smart.

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Speaker 1: It's not smart. My colleague Melissa the Rosa I said

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Speaker 1: yesterday it was stupid. That's another way of saying not smart,

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Speaker 1: sort of the hyper New York way of saying that

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Speaker 1: takes less words, not smart, stupid. Well, look, let me explain, Hey,

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Speaker 1: wear a mask. If you're not wearing a mask, you're

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Speaker 1: being dumb. But we don't want to say dumb, so

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Speaker 1: we'll call it less than smart. Why would you not

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Speaker 1: wear a mask? Let me explain, if you don't wear

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Speaker 1: a mask, you may be a mask murderer because you're

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Speaker 1: not wearing a mask. Oh my gosh, you guys. Are

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Speaker 1: all those of you who are not in New York,

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Speaker 1: which I know as a vast majority of you are,

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Speaker 1: you are so lucky. But you know, I'm not trying

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Speaker 1: to focus this on New York today for any reason

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Speaker 1: other than just we're we're the worst case, the worst holdout.

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Speaker 1: This shitty is in a coma right now, and you

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Speaker 1: have these morons in charge with stupid metrics. We're now

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Speaker 1: we're now supposed to be all clapping. Yet they've got

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Speaker 1: the tracers in place, the tracing teams. If you're near

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Speaker 1: someone for more than ten minutes who has COVID, they're

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Speaker 1: gonna tell you you have to quarantine for two weeks.

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Speaker 1: Guess what. People are gonna say, No, Then what happens.

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Speaker 1: They're gonna say, I feel fine, I don't think i've

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Speaker 1: got Oh, you mean, the voluntary will become compulsory. That's

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Speaker 1: that's where we remember. Look at masks. The voluntary will

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Speaker 1: become compulsory. The people making these decisions will say, if

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Speaker 1: you're not willing to listen, you're killing people. So I'm

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Speaker 1: gonna I'm gonna take it out of your hands. I'm

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Speaker 1: gonna make sure that you cannot kill people by not

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Speaker 1: wearing a mask. Healthcare provide us wear masks for ten

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Speaker 1: hours at the time. Why could you wear a mask

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Speaker 1: for an hour? Why could you wear a mask for

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Speaker 1: an hour? Someone tell me this, Well, the reason we

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Speaker 1: can't do it is because it's dumb. The reason I'm

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Speaker 1: not wearing a mask when I go outside all the

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Speaker 1: time is that I'm not going to live my life

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Speaker 1: with a stupid face covering that is uncomfortable because of

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Speaker 1: the infinitesimal possibility that somebody may come near me, even

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Speaker 1: though I've already had a COVID test last week. Whatever,

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Speaker 1: I mean, you know, at what point is it too silly?

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Speaker 1: Is it too dumb? What about if I was willing

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Speaker 1: to get a COVID test every week for the next

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Speaker 1: you know, two months, which I would. It's not that hard.

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Speaker 1: I would do it if they were going to pay

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Speaker 1: for it. Do I still have to wear a mask

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Speaker 1: all the time? Oh well, maybe you get infected, even

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Speaker 1: when you're not really supposed to get infected, you'll get

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Speaker 1: in This is this is absurd, but it's political. It's political,

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Speaker 1: and it's it's frustrating beyond words. And I have friends

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Speaker 1: who have had their careers right now shattered by this.

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Speaker 1: I know people personally very well who no longer you know. Yeah,

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Speaker 1: they're gonna get the they're gonna get the temporary unemployment

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Speaker 1: at hand. But that doesn't I mean in New York

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Speaker 1: City unemployment. This doesn't. This doesn't pay anybody's bills if

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Speaker 1: you live in this, if you live in any high

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Speaker 1: rent the biggest problem most people have his rent to

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Speaker 1: the mortgage. Right, if you live in any high rent,

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Speaker 1: high mortgage place, I mean unemployment, you're not even you're

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Speaker 1: not even covering your never mind you know, buying a

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Speaker 1: sandwich or like downloading something off the internet, you know

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Speaker 1: internet to watch on TV. You can't do any of

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Speaker 1: this stuff. So what they don't understand is the restructuring

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Speaker 1: of businesses that's happened, that's occurring right now means there's

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Speaker 1: going to be a lot fewer jobs in some of

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Speaker 1: these industries. And it's not based on anything other than

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Speaker 1: trying to prepare for the possibility of more government action

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Speaker 1: like this. You know, they don't want to you know that.

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Speaker 1: This is why the President promising me no second shutdown

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Speaker 1: last week was so important, because otherwise you're going to

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Speaker 1: have You're gonna have economic pandemonium. I mean, what business

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Speaker 1: could ever come back, could ever run itself effectively with

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Speaker 1: this hanging over its head? Here, you know, here's doctor

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Speaker 1: Burke's famous for her pronouncements from the Coronavirus Task Force

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Speaker 1: briefings and her colorful scarves, which I believe are generally Ermes.

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Speaker 1: Those scarves are very pricey. But here she is the

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Speaker 1: man up be Airmes. I don't know, that's just the

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Speaker 1: fanciest scarf company I could think of. Here she is

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Speaker 1: telling us about what they're doing to get ready for

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Speaker 1: the potential wave of this fall play twelve. Also, I

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Speaker 1: want to be very clear to the American people, we

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Speaker 1: are preparing for that potential fall issue both in PPE,

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Speaker 1: which is protective devices, both in ventilators, stockpiles, and ensuring

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Speaker 1: that we're really pushing on therapeutics and vaccine development so

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Speaker 1: we can be ready if the virus does come back

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Speaker 1: in a significant way. This I think is more than

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Speaker 1: anything else that we see right now, more than any

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Speaker 1: political ad or any specific set of economic numbers. This

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Speaker 1: is really going to determine assuming that we can get

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Speaker 1: to effectively a full reopen. And the good news is

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Speaker 1: that for all the people out there we're like, oh,

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Speaker 1: my gosh, they're not wearing a mask in public and

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Speaker 1: open air. Oh, for all the people that are doing that,

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Speaker 1: there are far more people who are saying, you know what,

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Speaker 1: it's summertime. Respiratory viruses are far less of a problem

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Speaker 1: in summertime. And have that's been the case, oh for

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Speaker 1: the last one hundred years or so. We all know that.

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Speaker 1: And so when they have a little bit of freedom,

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Speaker 1: they start to operate with even greater freedom. I mean,

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Speaker 1: I have friends, I have friends in some of the

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Speaker 1: most open states Georgia, Texas, Florida who are saying that,

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Speaker 1: you know what, the restaurants, oh, they have a capacity

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Speaker 1: people are just going to restaurants now, and God, God

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Speaker 1: bless them. Okay, this this is not what's the alternative,

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Speaker 1: We're just gonna live in fear. Oh let's let them

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Speaker 1: set up the stupid rules forever. Oh no, no, this

427
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Speaker 1: is this is really popularized, this notion, and we'll return

428
00:25:28,640 --> 00:25:31,480
Speaker 1: to it later on the show because there's this viral

429
00:25:31,600 --> 00:25:34,400
Speaker 1: video of a woman who, in a sense, is being

430
00:25:34,400 --> 00:25:36,880
Speaker 1: called at least the ultimate Karen. And I feel bad

431
00:25:36,880 --> 00:25:39,520
Speaker 1: for a lady's name lady's named Karen right now, because

432
00:25:39,560 --> 00:25:46,000
Speaker 1: it has become this term that is considered interchangeable with

433
00:25:47,000 --> 00:25:51,639
Speaker 1: a person who is kind of a busybody, a snoop.

434
00:25:52,200 --> 00:25:54,080
Speaker 1: You know, I want to talk to the manager. You know,

435
00:25:54,119 --> 00:25:58,560
Speaker 1: that's kind of the Karen attitude out there, and it's

436
00:25:58,720 --> 00:26:00,760
Speaker 1: not you people named Karen. Look, they're a I've known

437
00:26:00,800 --> 00:26:02,879
Speaker 1: some very nice Karen's and any Karen's listening to this.

438
00:26:02,920 --> 00:26:06,080
Speaker 1: I'm sorry your name has been appropriated culturally for this purpose,

439
00:26:07,280 --> 00:26:09,240
Speaker 1: but it is. But then again, I mean, I'm gonna

440
00:26:09,280 --> 00:26:11,920
Speaker 1: be an uncle in the fall WHOA, which is exciting,

441
00:26:12,359 --> 00:26:14,000
Speaker 1: but you know it's not going to be as exciting.

442
00:26:14,720 --> 00:26:18,040
Speaker 1: I'm gonna be Uncle Buck, No way, around it, no

443
00:26:18,080 --> 00:26:21,080
Speaker 1: way around it. Those though that that wonderful child will

444
00:26:21,119 --> 00:26:23,520
Speaker 1: grow up and at some point we'll say, hey, you're

445
00:26:23,560 --> 00:26:26,359
Speaker 1: a really great uncle. Have you ever heard of this movie?

446
00:26:26,480 --> 00:26:28,200
Speaker 1: Uncle Buck? And I'm just gonna have to take that

447
00:26:28,359 --> 00:26:31,879
Speaker 1: one on the chin. Yep. John Candy's like the you know,

448
00:26:32,600 --> 00:26:39,560
Speaker 1: the loutish, you know, immature failure launch family member anyway.

449
00:26:39,680 --> 00:26:41,720
Speaker 1: But you know, so we all got we all got

450
00:26:41,720 --> 00:26:43,560
Speaker 1: our cross to bear with our names. What can I

451
00:26:43,600 --> 00:26:46,159
Speaker 1: tell you? So Karen's out there, I'm sorry, but your

452
00:26:46,200 --> 00:26:48,800
Speaker 1: name has become this cultural touchdown now people are always

453
00:26:48,840 --> 00:26:52,919
Speaker 1: talking about Karen's but this mentality that everybody, if someone's

454
00:26:52,920 --> 00:26:55,920
Speaker 1: not wearing a mask, you need to act like they're

455
00:26:56,480 --> 00:26:58,600
Speaker 1: You need to act like that you've caught them drunk driving.

456
00:26:58,600 --> 00:27:00,680
Speaker 1: I mean, that's really what it turns and do for people.

457
00:27:00,680 --> 00:27:05,560
Speaker 1: You need to act like if not for interceding, how

458
00:27:05,560 --> 00:27:09,840
Speaker 1: are you not wearing a mask? Five people could die,

459
00:27:10,160 --> 00:27:13,240
Speaker 1: you know, because the car spins out and smashes into

460
00:27:13,400 --> 00:27:16,199
Speaker 1: people on the sidewalk or something horrible like that. No,

461
00:27:16,320 --> 00:27:20,879
Speaker 1: that's not that's not reality. That's not indicative of what

462
00:27:20,920 --> 00:27:24,200
Speaker 1: the real risks are at all. And I'm also very

463
00:27:24,240 --> 00:27:28,280
Speaker 1: frustrated that people who are supposed to be experts about

464
00:27:29,280 --> 00:27:33,359
Speaker 1: this disaster management area are just proving themselves to be

465
00:27:34,480 --> 00:27:39,400
Speaker 1: completely absurd and wrong over and over again. Michael Chertoff,

466
00:27:39,440 --> 00:27:41,520
Speaker 1: some of you may remember, he now runs the Chertoff Group,

467
00:27:41,560 --> 00:27:43,480
Speaker 1: all these guys that get these big government jobs, then

468
00:27:43,520 --> 00:27:46,760
Speaker 1: starts some consulting agency where they're really just selling their

469
00:27:46,800 --> 00:27:48,640
Speaker 1: rolodex if you want another truth. For the most part,

470
00:27:48,720 --> 00:27:53,040
Speaker 1: that's generally what happens. But here's Chertoff, who is advising

471
00:27:53,200 --> 00:27:57,720
Speaker 1: DC's Mayor Bowser on the opening of schools. And they remember,

472
00:27:57,760 --> 00:28:00,840
Speaker 1: I was just in DC last week. D C is

473
00:28:01,680 --> 00:28:05,520
Speaker 1: less open than New York City right now, at least

474
00:28:05,520 --> 00:28:09,080
Speaker 1: from what I could see. I was shocked. Nothing was

475
00:28:09,160 --> 00:28:12,399
Speaker 1: open there. No school not schools, of course those are

476
00:28:12,440 --> 00:28:16,040
Speaker 1: locked down, but no stores, restaurants. And I know that

477
00:28:16,080 --> 00:28:17,960
Speaker 1: city well, so I kind of knew who might be

478
00:28:18,400 --> 00:28:22,080
Speaker 1: not in business. Here's Turdoff. They're talking about where we

479
00:28:22,119 --> 00:28:26,080
Speaker 1: should be with schools in DC and by association or

480
00:28:26,200 --> 00:28:30,639
Speaker 1: by just the transitive property of policy which I just

481
00:28:30,680 --> 00:28:33,280
Speaker 1: made up, but that's a thing now that this is

482
00:28:33,280 --> 00:28:35,080
Speaker 1: the way it should be across the country for schools.

483
00:28:35,119 --> 00:28:37,639
Speaker 1: Play clip producer Mark play clip one. One of the

484
00:28:37,640 --> 00:28:40,040
Speaker 1: recommendations that you put forward, whether or not the mayor

485
00:28:40,080 --> 00:28:43,800
Speaker 1: takes it, is not to fully reopen schools for in

486
00:28:43,840 --> 00:28:47,320
Speaker 1: person learning until there is a vaccine. How would that work?

487
00:28:47,360 --> 00:28:49,120
Speaker 1: What do you mean by that? Well, the idea is

488
00:28:49,360 --> 00:28:51,960
Speaker 1: at least in stage one to have distance learning, have

489
00:28:52,040 --> 00:28:55,200
Speaker 1: it been done remotely, but then over the next two stages,

490
00:28:55,320 --> 00:28:59,480
Speaker 1: which mean that we would have basically reduced the outbreak

491
00:28:59,520 --> 00:29:03,920
Speaker 1: too isolated outbreaks. During the next period of time, we

492
00:29:03,960 --> 00:29:08,560
Speaker 1: would slowly begin to bring students in those entering transitional

493
00:29:08,640 --> 00:29:13,160
Speaker 1: grades or needing extra instruction would come in. First, we'd

494
00:29:13,160 --> 00:29:17,920
Speaker 1: make sure to maintain distancing in classrooms, to keep the

495
00:29:17,960 --> 00:29:21,120
Speaker 1: collection of people in a particular classroom below a certain

496
00:29:21,200 --> 00:29:24,640
Speaker 1: number like ten, to make sure the same youngsters were

497
00:29:24,680 --> 00:29:26,680
Speaker 1: together throughout the day so you don't have a lot

498
00:29:26,680 --> 00:29:30,240
Speaker 1: of people mixing with other groups. And then to have

499
00:29:30,360 --> 00:29:34,360
Speaker 1: a present on staff people with health background and experience

500
00:29:34,800 --> 00:29:39,360
Speaker 1: in case someone displays symptoms or some issue arises. And

501
00:29:39,440 --> 00:29:41,800
Speaker 1: the idea would be eventually during the course of this

502
00:29:41,920 --> 00:29:45,400
Speaker 1: time to basically reopen but in a very measured and

503
00:29:45,560 --> 00:29:49,760
Speaker 1: deliberate way. While why we have to do it in

504
00:29:49,800 --> 00:29:51,760
Speaker 1: such a measured and deliberate way. Why can't we just

505
00:29:51,760 --> 00:29:55,640
Speaker 1: reopen schools after Labor Day? Kids are at almost no

506
00:29:55,840 --> 00:29:57,880
Speaker 1: risk from this. They are at more risk from the

507
00:29:57,920 --> 00:30:01,160
Speaker 1: flu every year. That's right. For those of you who

508
00:30:01,200 --> 00:30:04,840
Speaker 1: have children, your child is at greater risk of mortality,

509
00:30:04,880 --> 00:30:06,840
Speaker 1: and it's a very small risk. So I'm not trying

510
00:30:06,840 --> 00:30:10,080
Speaker 1: to pray on anyone's fears here, but your child is

511
00:30:10,080 --> 00:30:12,479
Speaker 1: at greater risk from the seasonal flu than they are

512
00:30:12,480 --> 00:30:16,360
Speaker 1: from COVID nineteen. That's a fact. And yet we're not

513
00:30:16,480 --> 00:30:19,239
Speaker 1: able to open up schools because of COVID nineteen. Now

514
00:30:19,240 --> 00:30:22,880
Speaker 1: you might say, oh, what about the teachers. I mean,

515
00:30:23,440 --> 00:30:25,240
Speaker 1: you know, first of all, we should be doing prology

516
00:30:25,320 --> 00:30:28,000
Speaker 1: testing on teachers to see who may have already been exposed,

517
00:30:28,000 --> 00:30:30,400
Speaker 1: and then they won't have to worry. All of the

518
00:30:30,480 --> 00:30:33,280
Speaker 1: recent studies are showing that there are antibodies to this

519
00:30:33,360 --> 00:30:35,280
Speaker 1: if you are exposed or if you have a low

520
00:30:35,360 --> 00:30:39,080
Speaker 1: level infection. The big study out now on healthcare workers. Yes,

521
00:30:39,120 --> 00:30:42,320
Speaker 1: the ones who had low grade infections, they do have antibodies.

522
00:30:42,640 --> 00:30:45,200
Speaker 1: So there's going to be some percentage of teachers who

523
00:30:45,240 --> 00:30:46,560
Speaker 1: are able to go back because there are at no

524
00:30:46,600 --> 00:30:49,000
Speaker 1: real risk from infection. There's going to be some percentage

525
00:30:49,000 --> 00:30:52,080
Speaker 1: of teachers who are young enough. A lot of particularly

526
00:30:52,080 --> 00:30:55,680
Speaker 1: primary school teachers are young enough that they're you know,

527
00:30:55,680 --> 00:30:57,400
Speaker 1: if someone told me that my job was to teach

528
00:30:57,440 --> 00:30:59,720
Speaker 1: what I go back to school in the fall. Absolutely,

529
00:31:00,080 --> 00:31:03,680
Speaker 1: US producer Mark wants to go back to the studio

530
00:31:03,680 --> 00:31:05,840
Speaker 1: because he likes the studio. So I sit here and

531
00:31:05,880 --> 00:31:08,360
Speaker 1: I'm saying, okay, well, you know, at some point we'll

532
00:31:08,360 --> 00:31:10,200
Speaker 1: go back to the studio. He's not scared, he's not

533
00:31:10,240 --> 00:31:13,080
Speaker 1: worried about what's going to happen in the fall. And

534
00:31:13,680 --> 00:31:16,320
Speaker 1: you know this is this is the mentor people want

535
00:31:16,360 --> 00:31:19,240
Speaker 1: to go about their lives. They want to engage in

536
00:31:19,760 --> 00:31:23,720
Speaker 1: their careers and their professions and understand that, within reason,

537
00:31:24,520 --> 00:31:26,480
Speaker 1: there are risks that they should be willing to take.

538
00:31:26,520 --> 00:31:28,880
Speaker 1: So I just think this is wrong. Here's what Mike

539
00:31:28,960 --> 00:31:31,960
Speaker 1: Pence and I understand, Like parents are very understanding, be

540
00:31:32,080 --> 00:31:34,160
Speaker 1: very cautious about their kids. It's not the kids where

541
00:31:34,200 --> 00:31:35,960
Speaker 1: we should be even a little bit worried about with

542
00:31:36,000 --> 00:31:39,200
Speaker 1: COVID nineteen as an infection issue, as a they can't

543
00:31:39,200 --> 00:31:42,920
Speaker 1: go to school issue, it's a big problem. But for

544
00:31:42,960 --> 00:31:45,800
Speaker 1: the adults it should be manageable. And you know, maybe

545
00:31:45,800 --> 00:31:49,200
Speaker 1: a lot of these administrators and people that are getting

546
00:31:49,200 --> 00:31:51,120
Speaker 1: paid to be in the school system for reasons that

547
00:31:51,200 --> 00:31:53,280
Speaker 1: have nothing to do with teaching. Maybe they work remotely,

548
00:31:53,320 --> 00:31:56,240
Speaker 1: maybe they stay home. Maybe you know, we ask teachers,

549
00:31:56,320 --> 00:31:58,880
Speaker 1: maybe teachers get a little additional pay for you need

550
00:31:59,040 --> 00:32:01,960
Speaker 1: in person instruction for these kids. Okay, you can't have

551
00:32:02,000 --> 00:32:07,040
Speaker 1: everybody just zooming from home. We're not set up for it.

552
00:32:07,040 --> 00:32:12,040
Speaker 1: It's not real homeschooling, as we've discussed. It's like triage homeschooling.

553
00:32:12,600 --> 00:32:16,239
Speaker 1: And here's what Vice President Pence as saying about how

554
00:32:16,240 --> 00:32:19,280
Speaker 1: we're going to get kids back to school. Plicklipate to

555
00:32:19,400 --> 00:32:22,720
Speaker 1: produce useful information about about how we can bring back

556
00:32:22,760 --> 00:32:26,440
Speaker 1: our schools, how we can bring back summer camps, how

557
00:32:26,480 --> 00:32:30,520
Speaker 1: we can go back to churches and synagogues and mosques

558
00:32:30,560 --> 00:32:34,440
Speaker 1: and enjoy in a safe and responsible way our freedoms

559
00:32:34,480 --> 00:32:38,720
Speaker 1: of religion. So we're working very closely with university presidents

560
00:32:38,760 --> 00:32:41,600
Speaker 1: around the country over the last several weeks. We'll be

561
00:32:41,600 --> 00:32:44,320
Speaker 1: welcoming them to the White House soon. And we have

562
00:32:44,360 --> 00:32:48,320
Speaker 1: every confidence. So whether it be our universities around the country,

563
00:32:48,440 --> 00:32:52,880
Speaker 1: or whether it be a primary and secondary education that

564
00:32:52,920 --> 00:32:56,160
Speaker 1: we're in most areas of the country, we're going to

565
00:32:56,200 --> 00:32:58,680
Speaker 1: be able to get kids back to school in a

566
00:32:58,720 --> 00:33:04,920
Speaker 1: safe and responsible way. Yeah, we need to get kids

567
00:33:04,920 --> 00:33:07,240
Speaker 1: back into school. They're at very little risk from this disease,

568
00:33:07,280 --> 00:33:10,280
Speaker 1: and anybody who's paying attention to the numbers knows that.

569
00:33:10,840 --> 00:33:14,479
Speaker 1: And children need to be able to see their peers

570
00:33:14,560 --> 00:33:16,800
Speaker 1: and to learn and to be out in the world.

571
00:33:17,480 --> 00:33:20,000
Speaker 1: It is. It is horrible what we've done to kids. Here.

572
00:33:20,320 --> 00:33:22,200
Speaker 1: The real risk and we'll return to this, The real

573
00:33:22,280 --> 00:33:25,440
Speaker 1: risk from this disease all along was to the elderly

574
00:33:25,480 --> 00:33:27,720
Speaker 1: and to people in nursing homes, and that is the

575
00:33:27,800 --> 00:33:33,640
Speaker 1: single area where there has been the least amount of

576
00:33:34,400 --> 00:33:40,560
Speaker 1: preventative measures taken commensurate with the threat. They've they've fallen

577
00:33:40,560 --> 00:33:43,240
Speaker 1: down on this in ways that are just it's just appalling.

578
00:33:43,640 --> 00:33:45,040
Speaker 1: And now they're going to try to find all these

579
00:33:45,040 --> 00:33:49,200
Speaker 1: other people to blame. Reopen this country now, send kids

580
00:33:49,240 --> 00:33:51,960
Speaker 1: to school in the fall. I think they should be

581
00:33:52,000 --> 00:33:55,520
Speaker 1: talking about opening up summer prone. Look, we're writing trillion

582
00:33:55,560 --> 00:33:57,840
Speaker 1: dollars checks like it's going out of style, you know.

583
00:33:57,880 --> 00:34:00,240
Speaker 1: I think some school districts that we should consider, and

584
00:34:00,320 --> 00:34:02,200
Speaker 1: maybe if you need some federal funds for it. I

585
00:34:02,200 --> 00:34:05,680
Speaker 1: don't know whatever, but let kids. Let kids go to

586
00:34:05,760 --> 00:34:07,240
Speaker 1: summer camp. And if you're not going to go to

587
00:34:07,280 --> 00:34:09,160
Speaker 1: summer camp, open up schools and let kids do some

588
00:34:09,200 --> 00:34:12,120
Speaker 1: additional learning in person. Give them a place to go

589
00:34:12,520 --> 00:34:16,320
Speaker 1: that's not locked down in their homes in sweltering apartments

590
00:34:16,360 --> 00:34:21,960
Speaker 1: in major cities. You're in the freedom hunt. This is

591
00:34:22,000 --> 00:34:29,080
Speaker 1: the Buck Sexton Show podcast. Yeah, the governor has discriminated

592
00:34:29,080 --> 00:34:33,719
Speaker 1: against churches and mosque and against synagogues because we as

593
00:34:33,800 --> 00:34:36,799
Speaker 1: a church have a First Amendment right, and he has

594
00:34:36,880 --> 00:34:40,480
Speaker 1: chosen to say Walmart, grocery stores, liquor stores, they can

595
00:34:40,520 --> 00:34:43,359
Speaker 1: be open the whole entire time, and very directly, they're

596
00:34:43,400 --> 00:34:46,040
Speaker 1: not doing it nearly as safe as our churches doing it,

597
00:34:46,320 --> 00:34:49,440
Speaker 1: and so he has decided it according to whatever his

598
00:34:49,520 --> 00:34:51,719
Speaker 1: guidelines are. That no one really knows for what is

599
00:34:51,800 --> 00:34:55,160
Speaker 1: essential or not church is essential. Our people are New

600
00:34:55,239 --> 00:34:57,960
Speaker 1: Jersey citizens. You're a Jersey girl. You know all about

601
00:34:58,080 --> 00:35:01,120
Speaker 1: people loving their state, and here it is, as Jersey

602
00:35:01,200 --> 00:35:04,560
Speaker 1: citizens they're being told their church is not essential. Yeah.

603
00:35:04,560 --> 00:35:06,520
Speaker 1: I understand a lot of people don't understand why it's

604
00:35:06,560 --> 00:35:10,520
Speaker 1: so important to us, But as believers, we assemble together.

605
00:35:10,640 --> 00:35:15,040
Speaker 1: And these people have discouragement and depression and problems, including

606
00:35:15,080 --> 00:35:17,799
Speaker 1: economic problems. They want to be with their pastors and

607
00:35:17,880 --> 00:35:20,160
Speaker 1: they are doing it as best we possibly can. Yeah,

608
00:35:20,160 --> 00:35:23,880
Speaker 1: this is a critical point here from Pastor Charles Clark

609
00:35:24,360 --> 00:35:27,720
Speaker 1: the Third in New Jersey. First of all, the hostility

610
00:35:28,360 --> 00:35:32,000
Speaker 1: that the left wing lockdowners have had to religion from

611
00:35:32,000 --> 00:35:34,759
Speaker 1: the beginning of this, it's just appalling, right, Oh, you

612
00:35:34,840 --> 00:35:37,640
Speaker 1: can't do outdoor church. Oh you can't do drive in church. Oh,

613
00:35:37,680 --> 00:35:40,200
Speaker 1: you know, and taking people's license plate numbers down because

614
00:35:40,200 --> 00:35:42,680
Speaker 1: they're gathering for church. I mean, they forget, like, you know,

615
00:35:42,719 --> 00:35:45,320
Speaker 1: I just I'm more familiar with the early history of Christianity,

616
00:35:45,320 --> 00:35:48,359
Speaker 1: for example, than any other religion. People are willing to

617
00:35:48,719 --> 00:35:51,560
Speaker 1: take a lot of risk for their faith. People are

618
00:35:51,560 --> 00:35:55,799
Speaker 1: willing to do a lot to celebrate the Eucharist. You know,

619
00:35:56,080 --> 00:35:57,920
Speaker 1: someone coughing on them is not going to stop a

620
00:35:58,000 --> 00:36:00,759
Speaker 1: lot of people from deciding that they're going to go

621
00:36:01,560 --> 00:36:04,719
Speaker 1: and do that. But also at this point, to lock

622
00:36:04,760 --> 00:36:07,520
Speaker 1: people in their homes, to ruin millions and millions, tens

623
00:36:07,560 --> 00:36:11,160
Speaker 1: of millions of jobs, and bar them from their religious community,

624
00:36:11,600 --> 00:36:14,960
Speaker 1: it's just cruel that it's wrong. Thanks for listening to

625
00:36:15,000 --> 00:36:19,280
Speaker 1: The bus Essen Show podcasts. Remember to subscribe on Apple podcasts,

626
00:36:19,440 --> 00:36:24,120
Speaker 1: the iHeartRadio app, or wherever you get your podcasts. There's

627
00:36:24,200 --> 00:36:29,319
Speaker 1: no politics here. I can say that, but was still

628
00:36:29,360 --> 00:36:32,239
Speaker 1: in an election year and people are still playing politics,

629
00:36:32,280 --> 00:36:37,520
Speaker 1: and this is a hyperpartisan environment to the extent people

630
00:36:37,560 --> 00:36:42,760
Speaker 1: want to politicize this issue, and Republicans are saying, well,

631
00:36:43,040 --> 00:36:52,960
Speaker 1: new York did this. New York followed the president's agencies guidance,

632
00:36:54,000 --> 00:37:00,520
Speaker 1: so that the politicizes it. What New York did was

633
00:37:00,960 --> 00:37:07,400
Speaker 1: follow what the Republican administration said to do. That's not

634
00:37:07,480 --> 00:37:11,360
Speaker 1: my attempt to politicize it. It's my attempt to depoliticize it.

635
00:37:11,840 --> 00:37:20,400
Speaker 1: So don't criticize the state for following the president's policy.

636
00:37:21,600 --> 00:37:25,400
Speaker 1: This is very political, and again this is true in

637
00:37:25,520 --> 00:37:30,080
Speaker 1: many states across the country. But the disaster of the

638
00:37:30,120 --> 00:37:32,759
Speaker 1: COVID response when it comes to our nursing homes is

639
00:37:32,840 --> 00:37:36,640
Speaker 1: not something that anyone can ignore, is not something that

640
00:37:36,719 --> 00:37:43,320
Speaker 1: anyone can just assume was somehow inevitable. It's horrific. It's

641
00:37:43,360 --> 00:37:48,799
Speaker 1: really horrific beyond words. And as we look at the

642
00:37:48,880 --> 00:37:52,480
Speaker 1: decisions that were made, they can now blame the federal government,

643
00:37:52,480 --> 00:37:54,400
Speaker 1: which of course they are doing, and that's what Cuomo

644
00:37:54,480 --> 00:37:57,640
Speaker 1: is doing here. But let's remember that the governors have

645
00:37:57,760 --> 00:38:00,759
Speaker 1: claimed all along that they don't have to that this

646
00:38:00,880 --> 00:38:02,600
Speaker 1: is up to them, that they don't have to do

647
00:38:03,040 --> 00:38:04,800
Speaker 1: what the federal government tells them to about this, that

648
00:38:04,880 --> 00:38:09,279
Speaker 1: this is under their own police and quarantine powers. So

649
00:38:10,000 --> 00:38:12,600
Speaker 1: when they want the authority to do what they want,

650
00:38:13,120 --> 00:38:16,279
Speaker 1: they claim it. And when they want an escape patch

651
00:38:16,000 --> 00:38:20,560
Speaker 1: for poor decision making that has had terrible consequences, then

652
00:38:20,600 --> 00:38:26,160
Speaker 1: they also just make that claim. You may be familiar

653
00:38:27,440 --> 00:38:36,000
Speaker 1: with the term to decimate. Decimate is to take a

654
00:38:36,120 --> 00:38:41,400
Speaker 1: tenth of and there is a well, there's a course.

655
00:38:41,440 --> 00:38:44,680
Speaker 1: To take a tenth of is something that you might

656
00:38:44,719 --> 00:38:48,720
Speaker 1: think of in the context of tithing, and the word

657
00:38:49,840 --> 00:38:55,799
Speaker 1: decimatis taking a tenth of Latin medieval Latin. But it

658
00:38:55,840 --> 00:39:01,120
Speaker 1: was also a punishment that was instituted in Rome. It

659
00:39:01,160 --> 00:39:06,759
Speaker 1: was a punishment for mutiny, for cowardice, and what they

660
00:39:06,760 --> 00:39:11,000
Speaker 1: would do is take one out of ten soldiers, and

661
00:39:11,080 --> 00:39:13,160
Speaker 1: in front of the other soldiers, one out of ten

662
00:39:13,320 --> 00:39:18,880
Speaker 1: would be usually bastinadoed, beaten to death. Horrible, but Roman,

663
00:39:19,040 --> 00:39:22,520
Speaker 1: the Roman legions were a very intense and brutal place,

664
00:39:23,280 --> 00:39:28,239
Speaker 1: and we have this word decimation that is used much

665
00:39:28,280 --> 00:39:32,960
Speaker 1: more freely put aside decimatis and the punishment of taking

666
00:39:33,000 --> 00:39:35,880
Speaker 1: one out of ten in a unit. In Roman, it

667
00:39:35,920 --> 00:39:37,799
Speaker 1: wasn't usually the whole legion, but it would have been

668
00:39:39,440 --> 00:39:43,359
Speaker 1: a smaller military grouping and they would kill one out

669
00:39:43,400 --> 00:39:45,880
Speaker 1: of ten people. We often use, you know, to decimate

670
00:39:45,920 --> 00:39:48,759
Speaker 1: just means to destroy or hurt really badly. But the

671
00:39:48,760 --> 00:39:52,200
Speaker 1: the usual or the traditional meaning is to take a

672
00:39:52,280 --> 00:39:55,920
Speaker 1: tenth of and it has been used throughout history. And

673
00:39:56,400 --> 00:40:00,320
Speaker 1: I bring this up just because this moment in time

674
00:40:01,160 --> 00:40:04,440
Speaker 1: is one of those is one of those rare instances

675
00:40:04,520 --> 00:40:10,800
Speaker 1: where the original usage of the term decimate is correct.

676
00:40:11,560 --> 00:40:15,600
Speaker 1: In New Jersey, the disaster in the nursing homes has

677
00:40:15,640 --> 00:40:21,759
Speaker 1: been so terrible that they that almost a tenth of

678
00:40:22,600 --> 00:40:28,640
Speaker 1: the entire nursing home population has died from COVID nineteen

679
00:40:28,680 --> 00:40:31,920
Speaker 1: it's over nine percent. So just if you round it

680
00:40:32,040 --> 00:40:36,400
Speaker 1: up a bit, you get to a true decimation of

681
00:40:36,440 --> 00:40:40,080
Speaker 1: the nursing home population in New Jersey. These aren't people

682
00:40:40,560 --> 00:40:45,640
Speaker 1: who are our moms and dads, grandmas and grandpa's brothers, sisters,

683
00:40:45,719 --> 00:40:48,959
Speaker 1: loved ones. These are people who are veterans. Are people

684
00:40:49,000 --> 00:40:53,880
Speaker 1: who spend decades working in this country for this country,

685
00:40:54,160 --> 00:40:56,239
Speaker 1: you know, paying their taxes, obeying the law. I mean,

686
00:40:56,239 --> 00:41:02,279
Speaker 1: there are people that they they all along have been

687
00:41:02,320 --> 00:41:05,600
Speaker 1: engaged in this social compact with America, you know, as

688
00:41:05,680 --> 00:41:08,960
Speaker 1: as citizens, people who have been doing their part and

689
00:41:09,080 --> 00:41:13,279
Speaker 1: now in their in their golden years, and they were

690
00:41:13,360 --> 00:41:18,080
Speaker 1: entrusted into our care collectively speaking, meaning the care of

691
00:41:18,120 --> 00:41:22,319
Speaker 1: these facilities, but also the state regulators and um and

692
00:41:22,480 --> 00:41:26,080
Speaker 1: the various officials and people who are involved in making

693
00:41:26,080 --> 00:41:28,799
Speaker 1: sure that these facilities are safe and that we're doing

694
00:41:28,840 --> 00:41:30,960
Speaker 1: everything we can to protect our seniors. Remember the seniors,

695
00:41:30,960 --> 00:41:33,480
Speaker 1: a lot of them there is they're not able to

696
00:41:33,520 --> 00:41:35,400
Speaker 1: go flee there, you know, they're they're not able to

697
00:41:35,440 --> 00:41:37,200
Speaker 1: go to some second home somewhere like a lot of

698
00:41:37,239 --> 00:41:40,959
Speaker 1: people in some of these blue state enclaves did when

699
00:41:40,960 --> 00:41:43,640
Speaker 1: when things got badly, they're stuck in this nursing home

700
00:41:44,400 --> 00:41:48,319
Speaker 1: and they entrusted their their safety and their security to

701
00:41:48,680 --> 00:41:53,480
Speaker 1: us as a nation. And it is very clear at

702
00:41:53,520 --> 00:41:56,239
Speaker 1: this point that we failed them. And I just bring

703
00:41:56,360 --> 00:41:58,040
Speaker 1: I bring this up for many is one is just

704
00:41:58,080 --> 00:42:01,560
Speaker 1: we should be aware of this death toll. And as

705
00:42:02,080 --> 00:42:04,319
Speaker 1: because you're being told to trust the government are being

706
00:42:04,320 --> 00:42:07,279
Speaker 1: told the government knows what it's doing, and listen to

707
00:42:07,280 --> 00:42:11,000
Speaker 1: the experts. How many, really prominent How many times did

708
00:42:11,000 --> 00:42:15,000
Speaker 1: you hear doctor Fauci stand up in front of America

709
00:42:15,120 --> 00:42:19,240
Speaker 1: and say, hey, everybody, we got a five alarm fire

710
00:42:19,360 --> 00:42:22,080
Speaker 1: that's about to break out with this virus in our

711
00:42:22,160 --> 00:42:26,040
Speaker 1: nursing homes, and you know we should have you know,

712
00:42:26,440 --> 00:42:29,040
Speaker 1: you know, the two priorities for PPE and for all

713
00:42:29,080 --> 00:42:31,760
Speaker 1: the things that we've got need to be frontline medical

714
00:42:31,760 --> 00:42:37,640
Speaker 1: workers and anyone involved at a nursing home facility. That's

715
00:42:37,680 --> 00:42:39,680
Speaker 1: where we should be focused. Did you ever, I never,

716
00:42:39,719 --> 00:42:44,040
Speaker 1: I cannot remember once hearing with any urgency. You know,

717
00:42:44,600 --> 00:42:46,400
Speaker 1: we hear all this stuff about to put on a

718
00:42:46,400 --> 00:42:50,920
Speaker 1: mask or else do what we say flatten the curve.

719
00:42:51,840 --> 00:42:57,640
Speaker 1: Social distancing saves lives. Did you hear anyone say, hey,

720
00:42:57,800 --> 00:43:02,600
Speaker 1: we have to have and all out effort, especially as

721
00:43:02,600 --> 00:43:05,279
Speaker 1: this thing was really ramping up and getting towards the peak.

722
00:43:05,280 --> 00:43:08,000
Speaker 1: We've long since passed the peak. We are through the

723
00:43:08,000 --> 00:43:11,480
Speaker 1: worst of this virus. And some people just they don't

724
00:43:11,520 --> 00:43:13,160
Speaker 1: want to look wrong and dumb, so they want to

725
00:43:13,160 --> 00:43:15,840
Speaker 1: admit that. But did you hear any of these experts

726
00:43:16,400 --> 00:43:20,840
Speaker 1: raising the alarm about this. I watched so many hours

727
00:43:20,840 --> 00:43:23,440
Speaker 1: of press conferences, so many hours of people that all

728
00:43:23,480 --> 00:43:25,240
Speaker 1: they're supposed to do is give us the best advice

729
00:43:25,280 --> 00:43:29,560
Speaker 1: on this. What do they have to share? What do

730
00:43:29,640 --> 00:43:33,240
Speaker 1: they say about nursing homes? If in fact the federal

731
00:43:33,239 --> 00:43:39,120
Speaker 1: guidance was as stupid as what Cuomo was claiming it was,

732
00:43:39,200 --> 00:43:41,160
Speaker 1: and then the governors were dumb enough to go along

733
00:43:41,160 --> 00:43:43,120
Speaker 1: with it instead of objecting to it and doing what

734
00:43:43,160 --> 00:43:45,399
Speaker 1: was necessary to save them. They care so much about

735
00:43:45,440 --> 00:43:47,960
Speaker 1: saving lives, and you know, if it saves one life.

736
00:43:48,040 --> 00:43:50,000
Speaker 1: Cuomo used to always say, what about the five thousand

737
00:43:50,000 --> 00:43:51,920
Speaker 1: plus people who died in nursing homes on his watch?

738
00:43:53,560 --> 00:43:56,040
Speaker 1: Not talking about him as a presidential candidate anymore, are we?

739
00:43:58,719 --> 00:44:01,560
Speaker 1: But they if it was as bad as they say

740
00:44:01,600 --> 00:44:04,799
Speaker 1: it is, Let's remember that it's because of the projections

741
00:44:04,800 --> 00:44:08,520
Speaker 1: that the so called experts were making the IHM models

742
00:44:08,520 --> 00:44:12,880
Speaker 1: out of Washington University from the Institute for Health Metrics

743
00:44:12,880 --> 00:44:16,160
Speaker 1: and Evaluation, supported by funded by the Bill and Melinda

744
00:44:16,200 --> 00:44:20,800
Speaker 1: Gates Foundation. That became the principal set of numbers that

745
00:44:20,840 --> 00:44:22,359
Speaker 1: we were using here. And what did we learn from

746
00:44:22,400 --> 00:44:24,920
Speaker 1: that principal set of numbers? We're going to have overwhelmed hospitals.

747
00:44:25,160 --> 00:44:28,960
Speaker 1: We came nowhere close in ninety nine percent of the

748
00:44:28,960 --> 00:44:33,400
Speaker 1: country to overwhelmed hospitals, and here in New York, quite honestly,

749
00:44:33,719 --> 00:44:37,640
Speaker 1: and never really got that close either. Right. We were

750
00:44:37,680 --> 00:44:41,640
Speaker 1: told that it would, but those models, those projections were

751
00:44:41,680 --> 00:44:43,840
Speaker 1: so wrong, and if you question them, you were a

752
00:44:43,840 --> 00:44:46,400
Speaker 1: bad person. Maybe if we had been allowed to question

753
00:44:46,480 --> 00:44:50,960
Speaker 1: the numbers without being shouted down and told, oh, you know,

754
00:44:51,080 --> 00:44:53,400
Speaker 1: you're not you're not a scientists, you're not a doctor.

755
00:44:53,440 --> 00:44:56,479
Speaker 1: You don't know, really, well, what are the assumptions built

756
00:44:56,520 --> 00:45:00,520
Speaker 1: into this model? Are these models as fantastic? Is the say,

757
00:45:00,600 --> 00:45:04,920
Speaker 1: climate change models, which are laughable in their inaccuracy in

758
00:45:05,080 --> 00:45:11,000
Speaker 1: the scope of what is an acceptable margin of error? Laughable? No, No,

759
00:45:11,040 --> 00:45:13,520
Speaker 1: honest person who's not ideologically invested would see them and

760
00:45:13,560 --> 00:45:16,920
Speaker 1: say anything else. But we couldn't have that conversation. We

761
00:45:16,920 --> 00:45:21,120
Speaker 1: were told, shut up, peasant, go inside or else. You

762
00:45:21,160 --> 00:45:23,800
Speaker 1: don't care about people dying. And meanwhile a lot of

763
00:45:23,800 --> 00:45:26,760
Speaker 1: people were dying. But they were dying because the models

764
00:45:26,840 --> 00:45:30,120
Speaker 1: told us the hospitals were going to be overwhelmed, and

765
00:45:30,200 --> 00:45:33,400
Speaker 1: so in nursing homes the decision was made, Hey, we

766
00:45:33,520 --> 00:45:35,560
Speaker 1: got to get people out of the hospital and into

767
00:45:35,560 --> 00:45:37,400
Speaker 1: the nursing home as quickly as possible to free up

768
00:45:37,440 --> 00:45:41,239
Speaker 1: hospital beds. So you see the shutdown of debate and

769
00:45:41,280 --> 00:45:45,439
Speaker 1: discussion around this that occurred, let's say six seven weeks ago,

770
00:45:46,480 --> 00:45:51,600
Speaker 1: the shutdown of free expression around this issue, the shouts,

771
00:45:51,600 --> 00:45:54,840
Speaker 1: the squeals and screams from the people in the media.

772
00:45:55,040 --> 00:46:00,160
Speaker 1: You're not an expert, Really, what did the experts do

773
00:46:00,200 --> 00:46:03,600
Speaker 1: about this? What should have been done about this? I mean,

774
00:46:03,600 --> 00:46:07,640
Speaker 1: we should have had no one to bring to seed

775
00:46:07,920 --> 00:46:12,560
Speaker 1: the virus into nursing homes. Was the single most reckless

776
00:46:12,640 --> 00:46:16,239
Speaker 1: thing that you could do. Because here's the number you

777
00:46:16,280 --> 00:46:19,200
Speaker 1: need to know. And I give a hat tip to

778
00:46:19,239 --> 00:46:22,760
Speaker 1: my friend O vic Roy for pulling this data together.

779
00:46:23,560 --> 00:46:27,439
Speaker 1: He says, COVID nineteen nursing home fatalities, the latest data.

780
00:46:27,520 --> 00:46:30,680
Speaker 1: This was as a Friday. Nursing homes and assisted living

781
00:46:30,719 --> 00:46:37,360
Speaker 1: facilities now represent forty two percent of all deaths from coronavirus,

782
00:46:38,120 --> 00:46:44,719
Speaker 1: fifty two percent outside of New York State. And he

783
00:46:44,760 --> 00:46:50,400
Speaker 1: has a map, and the map is stunning. In New Hampshire,

784
00:46:50,960 --> 00:46:57,360
Speaker 1: sixty nine sixty nine percent of deaths in nursing homes

785
00:46:57,400 --> 00:47:03,840
Speaker 1: in Pennsylvania seventy percent of deaths in nursing homes, seventy

786
00:47:03,840 --> 00:47:07,800
Speaker 1: percent of overall deaths from the virus in nursing homes

787
00:47:08,640 --> 00:47:13,960
Speaker 1: in Minnesota eighty one percent, in Washington State sixty one percent,

788
00:47:14,360 --> 00:47:18,080
Speaker 1: in Oregon fifty nine percent, in Idaho fifty six percent,

789
00:47:18,719 --> 00:47:24,840
Speaker 1: Kentucky fifty six percent, Virginia sixty two percent, Rhode Island

790
00:47:24,920 --> 00:47:31,480
Speaker 1: seventy seven percent, Massachusetts sixty one percent. That's of all faytuities.

791
00:47:31,480 --> 00:47:35,480
Speaker 1: And remember that's not including people who are seniors who

792
00:47:35,520 --> 00:47:38,160
Speaker 1: are at higher risk who this is just people in

793
00:47:38,400 --> 00:47:45,320
Speaker 1: nursing homes. And where was this focus. Oh, the experts,

794
00:47:45,320 --> 00:47:47,560
Speaker 1: they know so much. Oh, listen to them, wash your hand,

795
00:47:47,640 --> 00:47:51,279
Speaker 1: social distance, put out a mask. Me doing all that

796
00:47:51,320 --> 00:47:54,960
Speaker 1: stuff was a waste of time while they were yelling

797
00:47:55,000 --> 00:47:56,879
Speaker 1: at me and you to do that and shutting down

798
00:47:56,880 --> 00:48:00,319
Speaker 1: our businesses and telling us to lock indoors. It was

799
00:48:00,480 --> 00:48:04,319
Speaker 1: policy pushed by experts at the state and perhaps even

800
00:48:04,320 --> 00:48:08,200
Speaker 1: at the federal level to take people who had symptoms

801
00:48:08,239 --> 00:48:10,720
Speaker 1: and still were believed to be positive for COVID nineteen

802
00:48:10,719 --> 00:48:12,520
Speaker 1: and put them into nursing homes where they were certain

803
00:48:12,560 --> 00:48:15,400
Speaker 1: to infect their fellow residents and kill a large number

804
00:48:15,400 --> 00:48:19,640
Speaker 1: of them. Can't blame the seniors, and they're just coming

805
00:48:19,680 --> 00:48:21,319
Speaker 1: out of the hospital. They're going where they're told they

806
00:48:21,360 --> 00:48:22,960
Speaker 1: have to go. It was on us, It was on

807
00:48:23,080 --> 00:48:26,759
Speaker 1: us to defend them, on us to protect them. And

808
00:48:26,880 --> 00:48:31,680
Speaker 1: in America we failed on this. We failed. But remember this,

809
00:48:32,080 --> 00:48:34,160
Speaker 1: the experts, the people that are telling you when you

810
00:48:34,200 --> 00:48:37,280
Speaker 1: can and can't do this, and the ridiculous guidance sets

811
00:48:37,320 --> 00:48:39,920
Speaker 1: out there about all this different stuff with the businesses reopening.

812
00:48:39,920 --> 00:48:41,760
Speaker 1: These people don't know what the heck they're talking about.

813
00:48:41,880 --> 00:48:44,560
Speaker 1: They've been wrong on everything and on the single most

814
00:48:44,640 --> 00:48:48,359
Speaker 1: important vulnerability we had from this virus, and we should

815
00:48:48,400 --> 00:48:53,200
Speaker 1: have known based on the fatalities and the median fatality

816
00:48:53,280 --> 00:48:55,560
Speaker 1: from COVID nineteen in Italy, which is that was the

817
00:48:55,560 --> 00:48:57,200
Speaker 1: big alarm bell for us, was what was going on

818
00:48:57,239 --> 00:49:02,319
Speaker 1: in northern Italy was over eighty. We knew that. And

819
00:49:02,400 --> 00:49:05,480
Speaker 1: where did they focus. They focused on emptying the schools

820
00:49:05,520 --> 00:49:08,719
Speaker 1: of children because oh gosh, you know that, they just

821
00:49:08,760 --> 00:49:11,759
Speaker 1: they wanted to shut down schools right away as soon

822
00:49:11,760 --> 00:49:15,680
Speaker 1: as they could. And they focused on telling younger, healthier,

823
00:49:15,760 --> 00:49:19,120
Speaker 1: lower risk people, wear a mask or else you're killing people,

824
00:49:20,320 --> 00:49:23,480
Speaker 1: which was insane and then large numbers of people were

825
00:49:23,520 --> 00:49:26,520
Speaker 1: dying in nursing homes. Don't let these don't let these

826
00:49:26,600 --> 00:49:32,680
Speaker 1: lockdown clowns, these maniacs, these imbeciles like Cuomo and Deblasio

827
00:49:32,840 --> 00:49:35,920
Speaker 1: and knew some and all these people. Now, look, California,

828
00:49:36,000 --> 00:49:37,759
Speaker 1: we got to be fair to the numbers. California has

829
00:49:37,800 --> 00:49:40,319
Speaker 1: not been hit badly by this. But they're the statism

830
00:49:40,360 --> 00:49:44,719
Speaker 1: and the overwhelming impulse. They have to drag this out

831
00:49:44,719 --> 00:49:47,960
Speaker 1: even longer, despite the fact that California got pretty lucky here.

832
00:49:48,560 --> 00:49:52,240
Speaker 1: But these people that are pushing these lockdowns, they didn't

833
00:49:52,239 --> 00:49:54,000
Speaker 1: do the single most important thing they could have done

834
00:49:54,000 --> 00:49:56,480
Speaker 1: to keep people alive during this. And they're gonna tell

835
00:49:56,480 --> 00:49:59,400
Speaker 1: you that, oh, we saved so many we saved so

836
00:49:59,440 --> 00:50:03,320
Speaker 1: many lives. As with the lockdown, Show me that data,

837
00:50:03,600 --> 00:50:07,000
Speaker 1: show me that data. It's not there yet. I don't think.

838
00:50:07,239 --> 00:50:08,440
Speaker 1: I don't think it's ever going to be there. I

839
00:50:08,480 --> 00:50:10,880
Speaker 1: think the lockdown, I think the disease had already reached

840
00:50:10,880 --> 00:50:13,680
Speaker 1: a degree of spread where the lockdowns you will be

841
00:50:13,680 --> 00:50:15,600
Speaker 1: able to make a case the lockdowns might have infected

842
00:50:15,640 --> 00:50:18,000
Speaker 1: and killed even more people who are at high risk.

843
00:50:20,680 --> 00:50:23,640
Speaker 1: You're in the freedom hunt. This is the buck Sexton

844
00:50:23,719 --> 00:50:29,759
Speaker 1: Show podcast. Well, what am I doing. I'm fighting the

845
00:50:29,800 --> 00:50:33,200
Speaker 1: deep state. I'm fighting I'm fighting the swamp. And I

846
00:50:33,200 --> 00:50:35,400
Speaker 1: said I was doing it, and I'm exposing the swamp.

847
00:50:35,480 --> 00:50:38,959
Speaker 1: I think if it keeps going the way I'm going,

848
00:50:39,000 --> 00:50:41,799
Speaker 1: and Ratcliffe is fantastic, if it keeps going the way

849
00:50:41,880 --> 00:50:45,360
Speaker 1: it's going, I have a chance to break the deep state.

850
00:50:46,040 --> 00:50:49,360
Speaker 1: It's a vicious group of people. It's very bad for

851
00:50:49,400 --> 00:50:52,440
Speaker 1: our country. And that's never happened before. You happened to

852
00:50:52,480 --> 00:50:54,160
Speaker 1: be a victim of the deep state. I hate to

853
00:50:54,160 --> 00:50:56,080
Speaker 1: tell you, whether you know it or not, but they've

854
00:50:56,080 --> 00:50:59,360
Speaker 1: treated you horribly over the years, and so have they

855
00:50:59,440 --> 00:51:02,239
Speaker 1: treated many other people. They never thought I was going

856
00:51:02,280 --> 00:51:04,879
Speaker 1: to win, and then I won, and then they tried

857
00:51:04,880 --> 00:51:07,680
Speaker 1: to get me out. That was the insurance policy. She's

858
00:51:07,719 --> 00:51:09,640
Speaker 1: going to win, but just in case she doesn't win,

859
00:51:09,680 --> 00:51:12,640
Speaker 1: we have an insurance policy. And now I beat him

860
00:51:12,640 --> 00:51:17,440
Speaker 1: in the insurance policy. And now they're being exposed. So

861
00:51:17,960 --> 00:51:24,000
Speaker 1: the President is right and has been right about the

862
00:51:24,040 --> 00:51:28,920
Speaker 1: existence of a deep state. Now that's important. I know.

863
00:51:29,120 --> 00:51:32,359
Speaker 1: Right now it feels a bit like, oh, well, don't

864
00:51:32,400 --> 00:51:34,279
Speaker 1: we all know that? But the answer is no, we

865
00:51:34,320 --> 00:51:37,239
Speaker 1: don't all know that. We don't all know that there

866
00:51:37,239 --> 00:51:40,759
Speaker 1: has been this revelation because there are people who all

867
00:51:40,800 --> 00:51:43,759
Speaker 1: along have been saying that there was no such thing,

868
00:51:45,000 --> 00:51:46,959
Speaker 1: and they've been mocking those of us who have brought

869
00:51:47,000 --> 00:51:49,600
Speaker 1: this up. And now they say that, well, it's not

870
00:51:49,680 --> 00:51:51,840
Speaker 1: really a deep state. They're trying to redefine her, to

871
00:51:51,880 --> 00:51:55,359
Speaker 1: call it something else, or just avoid all the revelations

872
00:51:55,360 --> 00:51:58,480
Speaker 1: that we've had, avoid dealing with all the truth that

873
00:51:58,480 --> 00:52:00,920
Speaker 1: has now come out about what at the DOJ, what

874
00:52:00,920 --> 00:52:06,000
Speaker 1: happened at the FBI, And it's stunning. It should be

875
00:52:06,000 --> 00:52:11,160
Speaker 1: stunning to anybody to see how much would effort was put,

876
00:52:11,200 --> 00:52:13,880
Speaker 1: how much time was put by the most powerful law

877
00:52:13,960 --> 00:52:17,839
Speaker 1: enforcement officials in the country into a case that, even

878
00:52:17,880 --> 00:52:20,440
Speaker 1: before we were looking at it and going over it,

879
00:52:20,480 --> 00:52:25,080
Speaker 1: in a case that was preposterous. It was just flatly observed.

880
00:52:25,120 --> 00:52:27,120
Speaker 1: The whole Russia collusion thing. The fact that the FBI

881
00:52:27,200 --> 00:52:29,879
Speaker 1: and the dj were spending resources in time on this

882
00:52:31,280 --> 00:52:34,080
Speaker 1: just goes to show you. I mean, are they are

883
00:52:34,120 --> 00:52:38,719
Speaker 1: they that lacking not just in judgment but in real

884
00:52:38,760 --> 00:52:40,480
Speaker 1: work to do well? As we know, this was all

885
00:52:40,520 --> 00:52:42,719
Speaker 1: about destroying Trump, and so I guess they felt like

886
00:52:42,760 --> 00:52:46,120
Speaker 1: this was real work. This is what they felt they

887
00:52:46,200 --> 00:52:48,640
Speaker 1: should do. In fact, I do believe that that Comy

888
00:52:49,040 --> 00:52:53,640
Speaker 1: and mckaye, they're so sanctimonious and self righteous and delusional

889
00:52:54,400 --> 00:53:00,440
Speaker 1: that they would if given the opportunity they well, no,

890
00:53:00,640 --> 00:53:02,279
Speaker 1: they really have been. I don't even think this is

891
00:53:02,320 --> 00:53:05,279
Speaker 1: a This is supposition on my part. They believe that

892
00:53:05,440 --> 00:53:09,000
Speaker 1: what they did was patriotic, that that undermining the president

893
00:53:09,000 --> 00:53:11,400
Speaker 1: in the way that they did attacking Really, the soft

894
00:53:11,440 --> 00:53:13,759
Speaker 1: coup effort against the President of the United States that

895
00:53:13,800 --> 00:53:17,719
Speaker 1: they led was because they're such good people. And the

896
00:53:18,520 --> 00:53:22,359
Speaker 1: journ does the journalism Do the journalism folks out there

897
00:53:22,480 --> 00:53:25,400
Speaker 1: have any sense of remorse for their role in this

898
00:53:25,440 --> 00:53:27,319
Speaker 1: whole thing? And Trump has been exposed in the deep state.

899
00:53:27,360 --> 00:53:30,160
Speaker 1: Remember he promised me in the oval last week, President

900
00:53:30,160 --> 00:53:32,640
Speaker 1: Trump told me just wait till what's coming. So I'm

901
00:53:32,680 --> 00:53:36,160
Speaker 1: expecting big things. The journalists feel, oh no, this is

902
00:53:36,200 --> 00:53:37,799
Speaker 1: what they say play thirteen. This is what they say

903
00:53:37,800 --> 00:53:40,920
Speaker 1: about Trump. But Joe, is it really shocking? And he

904
00:53:40,960 --> 00:53:45,440
Speaker 1: did this is this is a cool, damaged human being

905
00:53:46,520 --> 00:53:49,759
Speaker 1: who goes out of his way to harm people, and

906
00:53:49,840 --> 00:53:53,160
Speaker 1: he goes out of his way without seeing these people.

907
00:53:53,880 --> 00:53:57,640
Speaker 1: He would never utter a single negative response to any

908
00:53:57,680 --> 00:54:01,520
Speaker 1: of the people that he attacked on Twitter over the weekend,

909
00:54:01,840 --> 00:54:05,560
Speaker 1: if it were eye to eye contact. He is afraid

910
00:54:05,600 --> 00:54:08,680
Speaker 1: of that. He is afraid of the repudiation, but he's

911
00:54:08,719 --> 00:54:11,840
Speaker 1: afraid of the physicality of it. He's afraid of looking

912
00:54:11,880 --> 00:54:14,640
Speaker 1: at someone in the eye and saying what he says

913
00:54:14,680 --> 00:54:17,600
Speaker 1: on Twitter to them. He would never ever do that.

914
00:54:19,000 --> 00:54:22,080
Speaker 1: I mean, this is just absurd. This president stood on

915
00:54:22,120 --> 00:54:25,319
Speaker 1: stage against Hillary Clinton and was exactly who he always is,

916
00:54:25,760 --> 00:54:28,240
Speaker 1: mocked her and all the journal supporting her to their faces.

917
00:54:28,239 --> 00:54:31,960
Speaker 1: I mean what, but until they apologize for Russia Gate,

918
00:54:32,040 --> 00:54:34,680
Speaker 1: none of these journalists have any credibility, any ethics, any honesty.

919
00:54:34,760 --> 00:54:37,840
Speaker 1: Just remember that thanks for listening to the Bus Sesson

920
00:54:37,880 --> 00:54:42,680
Speaker 1: Show podcasts. Remember to subscribe on Apple podcast, the iHeartRadio app,

921
00:54:42,840 --> 00:54:48,200
Speaker 1: or wherever you get your podcasts. Our Things Looking from Pennsylvania.

922
00:54:48,400 --> 00:54:52,239
Speaker 1: We got our friend Sean Parnell in the house. He is,

923
00:54:52,280 --> 00:54:55,960
Speaker 1: of course, a former Army ranger, author of Outlaw Platoon,

924
00:54:56,120 --> 00:54:59,320
Speaker 1: and perhaps best known these days thanks to President Trump's

925
00:54:59,560 --> 00:55:04,160
Speaker 1: begging doorsment for him on Twitter as a congressional candidate

926
00:55:04,680 --> 00:55:07,280
Speaker 1: in a wonderful district of the great state of Pennsylvania.

927
00:55:07,320 --> 00:55:10,080
Speaker 1: Mister Sean Parnell. So good to have you all, my friend,

928
00:55:10,080 --> 00:55:13,759
Speaker 1: how are you. It's great to be here, Buck, It's

929
00:55:13,800 --> 00:55:16,319
Speaker 1: great to be here. Thanks for having me, and tell

930
00:55:16,360 --> 00:55:18,440
Speaker 1: me to tell me just a bit right now about

931
00:55:18,440 --> 00:55:21,200
Speaker 1: how you guys are doing in your part of you know.

932
00:55:21,239 --> 00:55:22,799
Speaker 1: And one thing I like from the guests we have

933
00:55:22,840 --> 00:55:26,279
Speaker 1: from all around the country. And you know, we have

934
00:55:27,239 --> 00:55:31,239
Speaker 1: some fantastic affiliates that that listen to this show in Pennsylvania.

935
00:55:31,280 --> 00:55:33,360
Speaker 1: So I just want people to hear how things are

936
00:55:33,440 --> 00:55:35,600
Speaker 1: because you know, everyone's kind of bubbled into wherever they

937
00:55:35,600 --> 00:55:37,120
Speaker 1: are in the country right now. How are things in

938
00:55:37,160 --> 00:55:40,200
Speaker 1: your your neck of the woods in Pennsylvania these days? Um,

939
00:55:40,480 --> 00:55:43,799
Speaker 1: you know, tell us what's going on? Yeah, well, I

940
00:55:43,840 --> 00:55:47,759
Speaker 1: mean Pennsylvanians are are resilient and Pennsylvanians are strong, but

941
00:55:47,840 --> 00:55:52,120
Speaker 1: that that doesn't mean that people aren't struggling right now.

942
00:55:52,360 --> 00:55:54,680
Speaker 1: You know, in the state of Pennsylvania, we have two

943
00:55:54,680 --> 00:55:58,440
Speaker 1: point two million people unemployed. We've got the most unemployment

944
00:55:58,840 --> 00:56:02,320
Speaker 1: claims any other state in the country. Over thirty percent

945
00:56:02,360 --> 00:56:06,280
Speaker 1: of our work course is unemployed. We've got food lines

946
00:56:06,280 --> 00:56:10,040
Speaker 1: in my district every single week, thousands of people and

947
00:56:10,080 --> 00:56:12,960
Speaker 1: food lines. I never thought i'd see that before ever

948
00:56:13,360 --> 00:56:16,919
Speaker 1: in America. I led alone in my hometown. So this

949
00:56:16,960 --> 00:56:20,160
Speaker 1: pandemic has been rough on everybody. And I feel like

950
00:56:20,239 --> 00:56:25,239
Speaker 1: that's why, you know, I, along with Republicans and Democrats

951
00:56:25,320 --> 00:56:28,120
Speaker 1: right in Pennsylvania, are putting all sorts of pressure on

952
00:56:28,160 --> 00:56:30,839
Speaker 1: the governor to allow us to reopen safety because, I mean,

953
00:56:30,880 --> 00:56:33,600
Speaker 1: people's lives and livelihoods are on the line here, buck,

954
00:56:34,080 --> 00:56:36,640
Speaker 1: and I mean we can't I mean, the governor just

955
00:56:36,680 --> 00:56:39,920
Speaker 1: said last week that we can't read. You know, he

956
00:56:40,280 --> 00:56:43,279
Speaker 1: can't see us reopening until we have a full up,

957
00:56:43,520 --> 00:56:47,160
Speaker 1: full proof vaccine, and that to me is just it's

958
00:56:47,160 --> 00:56:49,799
Speaker 1: just crazy and flies in the face of all the

959
00:56:49,840 --> 00:56:53,120
Speaker 1: scientific data that's coming out about this virus. We don't

960
00:56:53,120 --> 00:56:55,560
Speaker 1: have a choice. We have to reopen. We got to

961
00:56:55,560 --> 00:56:58,080
Speaker 1: do it safely. People's lives and livelihoods are on the

962
00:56:58,120 --> 00:57:00,680
Speaker 1: line here and are used to supposed to be then

963
00:57:00,800 --> 00:57:03,239
Speaker 1: at the state level in a in the zone by

964
00:57:03,360 --> 00:57:07,359
Speaker 1: zone or is it mostly top down just from from

965
00:57:07,360 --> 00:57:10,440
Speaker 1: the capitol in Pennsylvania for you guys, you know, how

966
00:57:10,719 --> 00:57:13,400
Speaker 1: how is this supposed to work? I mean, the comment

967
00:57:13,440 --> 00:57:15,719
Speaker 1: that we have to wait till a vaccine is insane.

968
00:57:15,719 --> 00:57:17,720
Speaker 1: But he's not the only one who said it, I know,

969
00:57:17,920 --> 00:57:21,280
Speaker 1: I know. Well, so the governor on his plan is

970
00:57:21,280 --> 00:57:25,880
Speaker 1: sort of a phased reopening right red being full lockdown

971
00:57:26,160 --> 00:57:29,600
Speaker 1: yellow somewhere in the middle green reopening with you know,

972
00:57:29,880 --> 00:57:33,120
Speaker 1: following city guidelines right now. You know, in and around

973
00:57:33,120 --> 00:57:36,680
Speaker 1: the Philadelphia area is red. Most of the other areas

974
00:57:36,720 --> 00:57:39,080
Speaker 1: of the state, other counties in the state are are yellow.

975
00:57:40,040 --> 00:57:43,480
Speaker 1: But my issue with this color coded plan is that

976
00:57:43,560 --> 00:57:47,880
Speaker 1: there's really no functional difference between red and yellow. Um,

977
00:57:47,920 --> 00:57:53,040
Speaker 1: you know, salons, restaurants, uh, you know those those are

978
00:57:53,080 --> 00:57:56,600
Speaker 1: all still closed, you know, So it's really the restaurant

979
00:57:56,680 --> 00:58:00,439
Speaker 1: hairstyle of saland owners, uh you know, nail place, is

980
00:58:00,480 --> 00:58:03,680
Speaker 1: that most of these businesses are really the truth is

981
00:58:03,720 --> 00:58:06,680
Speaker 1: at risk of closing forever. And you know, if you

982
00:58:06,720 --> 00:58:08,920
Speaker 1: look at the science right and what some of the

983
00:58:09,040 --> 00:58:12,200
Speaker 1: UPMC University of Pittsburgh Medical Center doctors, some of the

984
00:58:12,240 --> 00:58:16,040
Speaker 1: most world renowned epidemiologists are in and around the Pittsburgh area,

985
00:58:16,480 --> 00:58:19,800
Speaker 1: they've all said straight up that, you know, the surge

986
00:58:19,800 --> 00:58:22,800
Speaker 1: that we expected in the wake of COVID nineteen didn't happen.

987
00:58:23,200 --> 00:58:26,720
Speaker 1: And most of these doctors now who again specialized and

988
00:58:26,800 --> 00:58:30,920
Speaker 1: infectious disease are saying we've got to start reopening because

989
00:58:31,240 --> 00:58:36,000
Speaker 1: that casualty is from an economic fallout will be far

990
00:58:36,440 --> 00:58:39,280
Speaker 1: greater than the casualties and this virus could ever inflict

991
00:58:39,360 --> 00:58:42,680
Speaker 1: on us. And in my worry is that we really

992
00:58:42,720 --> 00:58:46,640
Speaker 1: truly are doing a generation or two's worth of economic

993
00:58:46,680 --> 00:58:49,240
Speaker 1: harm to the state of Pennsylvania. You know, these people.

994
00:58:49,640 --> 00:58:51,440
Speaker 1: The whole point of a lockdown, as you know, is

995
00:58:51,440 --> 00:58:53,800
Speaker 1: supposed to be short lived, right to make sure to

996
00:58:54,040 --> 00:58:56,560
Speaker 1: buy our healthcare systems sometime give it a level of

997
00:58:56,560 --> 00:59:01,160
Speaker 1: resiliency prep or maybe overflow of the virus. But the

998
00:59:01,200 --> 00:59:06,000
Speaker 1: fact is a lockdown was never meant to happen in perpetuity.

999
00:59:06,920 --> 00:59:10,800
Speaker 1: And I think again, I can't stress this enough. Democrats

1000
00:59:10,840 --> 00:59:13,840
Speaker 1: and Republicans vote in the state of Pennsylvania are starting

1001
00:59:13,840 --> 00:59:16,360
Speaker 1: to push back against against this. The Governor Wolf is

1002
00:59:16,360 --> 00:59:22,880
Speaker 1: facing bipartisan resistance on lockdown in perpetuity and so worth

1003
00:59:22,960 --> 00:59:25,080
Speaker 1: fighting every day just to make sure that people in

1004
00:59:25,120 --> 00:59:27,200
Speaker 1: western Pennsylvania has a voice. At the end of the day,

1005
00:59:27,280 --> 00:59:31,720
Speaker 1: running for Congress isn't about political party. It's about representative people, right,

1006
00:59:31,760 --> 00:59:33,880
Speaker 1: and that's what we're trying to do. We're speaking of

1007
00:59:33,880 --> 00:59:38,040
Speaker 1: Sean Parnell, Buddy amine, but also importantly decorated combat veteran

1008
00:59:38,440 --> 00:59:41,840
Speaker 1: New York Times bestselling author and candy for the seventeenth

1009
00:59:42,000 --> 00:59:47,120
Speaker 1: the mighty seventeenth congressionand District of Pennsylvania. And we're certainly

1010
00:59:47,120 --> 00:59:49,640
Speaker 1: hoping that that's going to be something we can celebrate

1011
00:59:49,680 --> 00:59:52,360
Speaker 1: with him after the election occurs in November. So Sean

1012
00:59:52,920 --> 00:59:57,800
Speaker 1: the President stepped in to his sixty plus million Twitter

1013
00:59:57,840 --> 01:00:01,800
Speaker 1: followers and said, Sean Parnell, the men vote for Sean Parnell.

1014
01:00:02,640 --> 01:00:04,920
Speaker 1: What And I know that that now has gotten you

1015
01:00:04,960 --> 01:00:08,840
Speaker 1: even higher up. I'm sure on your candidate, you're rather

1016
01:00:08,920 --> 01:00:14,800
Speaker 1: the opposing candidate Connor Lamb's radar boo. So tell us

1017
01:00:14,800 --> 01:00:17,960
Speaker 1: about some of the aftermath of this and what it's

1018
01:00:17,960 --> 01:00:20,160
Speaker 1: been like to get not just that that that shout

1019
01:00:20,200 --> 01:00:23,000
Speaker 1: out from the President, but how the left is maneuvering

1020
01:00:23,000 --> 01:00:24,920
Speaker 1: against you. Now they must realize you're gonna be a

1021
01:00:24,920 --> 01:00:26,720
Speaker 1: force to be reckoned with. I mean, I already knew

1022
01:00:26,720 --> 01:00:32,320
Speaker 1: that obviously, but now they learn it. Buck. I gotta

1023
01:00:32,320 --> 01:00:35,440
Speaker 1: tell you, you know, I've known you for a long time.

1024
01:00:36,400 --> 01:00:39,440
Speaker 1: You know how I feel about this country, right, and

1025
01:00:39,520 --> 01:00:42,160
Speaker 1: I respect the office of the president, whether a Democrat

1026
01:00:42,200 --> 01:00:45,280
Speaker 1: sits in that office or Republican and to have the

1027
01:00:45,520 --> 01:00:48,640
Speaker 1: endorsement of the President or the president focused on you

1028
01:00:48,720 --> 01:00:53,320
Speaker 1: in any way, and the President Trump's case recognizing you know,

1029
01:00:53,400 --> 01:00:56,800
Speaker 1: my service and Michael Tuon service in Afghanistan. It's an

1030
01:00:56,880 --> 01:01:01,240
Speaker 1: unbelievable honor to have that endorsement from the commander in chief,

1031
01:01:01,440 --> 01:01:05,560
Speaker 1: you know Buck. Ten years ago I was I carried

1032
01:01:05,560 --> 01:01:09,200
Speaker 1: a rifle in Afghanistan. My platoon got shot up pretty badly.

1033
01:01:09,440 --> 01:01:11,880
Speaker 1: We took an eighty five percent casualty rate. I was

1034
01:01:11,920 --> 01:01:15,680
Speaker 1: wounded myself and was medically retired. Before my time, I

1035
01:01:15,800 --> 01:01:19,800
Speaker 1: intended to come into the military, lead an infantry platoon,

1036
01:01:20,160 --> 01:01:22,720
Speaker 1: joined the Special Forces, and try out for Delta. That

1037
01:01:23,080 --> 01:01:25,120
Speaker 1: was what I wanted. That was that was my dream,

1038
01:01:25,720 --> 01:01:27,640
Speaker 1: and it was all cut short because I got blown

1039
01:01:27,720 --> 01:01:30,720
Speaker 1: up in Afghanistan. I was medically retired from the military

1040
01:01:31,080 --> 01:01:33,280
Speaker 1: in two thousand and ten. Hey on behalf of a

1041
01:01:33,320 --> 01:01:37,480
Speaker 1: greatful nation seal later with next to nothing, and again

1042
01:01:37,560 --> 01:01:40,280
Speaker 1: a decade after that, I'm getting shout outs from the

1043
01:01:40,280 --> 01:01:43,880
Speaker 1: President of the United States. If that doesn't tell you

1044
01:01:44,280 --> 01:01:47,720
Speaker 1: how amazing this country is and that that we really

1045
01:01:47,720 --> 01:01:51,240
Speaker 1: truly are the land of opportunity and with hard work

1046
01:01:51,280 --> 01:01:55,880
Speaker 1: and perseverance. You can accomplish anything that you want. I mean,

1047
01:01:56,520 --> 01:01:59,840
Speaker 1: it's just my gun. It's just so cool, you know.

1048
01:02:00,280 --> 01:02:05,600
Speaker 1: All that said, Uh, I spent most of the Memorial

1049
01:02:05,720 --> 01:02:10,919
Speaker 1: Day upending off the far left and the radical left

1050
01:02:10,920 --> 01:02:13,840
Speaker 1: who did nothing but attack me. And do you know

1051
01:02:13,920 --> 01:02:16,520
Speaker 1: whether they're calling me a baby killer or a Trump

1052
01:02:16,640 --> 01:02:20,720
Speaker 1: boot liquor all because I said it's an honor to

1053
01:02:20,800 --> 01:02:25,479
Speaker 1: receive the President's endorsement. You know, Um, that's been tough.

1054
01:02:26,000 --> 01:02:29,120
Speaker 1: But I've I've always known that that politics, Hey, it's

1055
01:02:29,120 --> 01:02:32,040
Speaker 1: a contact sport. I've always said that politics's war, just

1056
01:02:32,120 --> 01:02:35,320
Speaker 1: without the bullets. And you know, I've taken real life

1057
01:02:35,320 --> 01:02:39,040
Speaker 1: black in Afghanistan and I can take this too. So Sean,

1058
01:02:39,240 --> 01:02:42,560
Speaker 1: what do you have to do to win against against

1059
01:02:42,600 --> 01:02:45,160
Speaker 1: Connor Lamb? I mean, who who? There's just I think

1060
01:02:45,200 --> 01:02:47,360
Speaker 1: it's interesting for folks to hear because, as you said,

1061
01:02:47,400 --> 01:02:50,040
Speaker 1: we've known each other now almost almost a decade. Uh

1062
01:02:50,240 --> 01:02:53,200
Speaker 1: And and just going going back here a bit, I'm wondering,

1063
01:02:53,960 --> 01:02:55,760
Speaker 1: you know where we're folk. We're going to be following

1064
01:02:55,800 --> 01:02:58,000
Speaker 1: your your election very closely because you're a friend of

1065
01:02:58,080 --> 01:03:01,280
Speaker 1: the show. What has to happen for you to be

1066
01:03:01,320 --> 01:03:04,440
Speaker 1: in a position to be the next Congressman from Pennsylvania seventeenth. Like,

1067
01:03:04,480 --> 01:03:05,720
Speaker 1: who do you have to win? Who do you have

1068
01:03:05,760 --> 01:03:08,800
Speaker 1: to reach out to? Yeah, it's a great question. Let

1069
01:03:08,880 --> 01:03:12,080
Speaker 1: me first answer it by giving some context on this district. So,

1070
01:03:12,320 --> 01:03:16,120
Speaker 1: Pennsylvania seventeen is the biggest swing district in the country.

1071
01:03:16,720 --> 01:03:19,600
Speaker 1: It's in western Pennsylvania. It's a district that President Trump

1072
01:03:19,760 --> 01:03:22,760
Speaker 1: won in two thousand and sixteen. It's a district that

1073
01:03:22,880 --> 01:03:25,480
Speaker 1: Pat two me also won. My Republican senator here in

1074
01:03:25,480 --> 01:03:28,160
Speaker 1: the state of Pennsylvania also won. So two very different

1075
01:03:28,160 --> 01:03:32,120
Speaker 1: Republicans have both been victorious in this district, and now

1076
01:03:32,120 --> 01:03:34,800
Speaker 1: we have a Democrat in this seat. So what it

1077
01:03:34,800 --> 01:03:38,160
Speaker 1: boils down to is this that President Trump wins Pennsylvania

1078
01:03:38,240 --> 01:03:41,240
Speaker 1: seventeen like he did in two thousand and sixteen. President

1079
01:03:41,280 --> 01:03:44,440
Speaker 1: Trump will win the state of Pennsylvania, and that is

1080
01:03:44,560 --> 01:03:47,800
Speaker 1: the fastest, most expeditious way to get him back into

1081
01:03:47,800 --> 01:03:51,440
Speaker 1: the White House. Right, if wins PA seventeen, he wins Pennsylvania.

1082
01:03:51,600 --> 01:03:53,880
Speaker 1: President Trump's back in the White House. If I win

1083
01:03:53,920 --> 01:03:57,800
Speaker 1: PA seventeen, the likelihood of Republican taking back the House

1084
01:03:57,800 --> 01:04:02,080
Speaker 1: of Representatives is extraordinarily high, and so so many I've

1085
01:04:02,080 --> 01:04:05,160
Speaker 1: had the vice president a month after I've gotten this

1086
01:04:05,400 --> 01:04:07,600
Speaker 1: in this race, come to PA seventeen and tell me

1087
01:04:08,000 --> 01:04:11,480
Speaker 1: twenty twenty, the battleground for twenty twenty will be waged

1088
01:04:11,680 --> 01:04:13,640
Speaker 1: for the war for twenty twenty will be waged here

1089
01:04:13,640 --> 01:04:16,200
Speaker 1: in PA seventeen. Ted Cruz also came and spoke at

1090
01:04:16,200 --> 01:04:18,880
Speaker 1: the Allianting County dinner and said the exact same thing.

1091
01:04:20,080 --> 01:04:23,720
Speaker 1: So in order for me to win this district, my

1092
01:04:23,840 --> 01:04:27,360
Speaker 1: strategy is just to tell the truth. You know, Connor

1093
01:04:27,440 --> 01:04:30,880
Speaker 1: Lamb is the kind of guy my opponent is the

1094
01:04:31,000 --> 01:04:34,120
Speaker 1: kind of politician that says one thing in district that

1095
01:04:34,200 --> 01:04:36,600
Speaker 1: he thinks everybody will want to hear, that he thinks

1096
01:04:36,600 --> 01:04:38,680
Speaker 1: will earn or whatever he says get some votes. He

1097
01:04:38,720 --> 01:04:42,120
Speaker 1: says one thing in district and does something very very

1098
01:04:42,120 --> 01:04:45,040
Speaker 1: different from Washington. You know, his thing is I'm a

1099
01:04:45,080 --> 01:04:47,920
Speaker 1: moderate independent person. Oh you know, I'm going to support

1100
01:04:47,920 --> 01:04:50,040
Speaker 1: the president. But the reality is he voted doing piece

1101
01:04:50,080 --> 01:04:53,080
Speaker 1: the president on both accounts. His first ad was carrying

1102
01:04:53,080 --> 01:04:55,560
Speaker 1: an AAR fifteen and said, I love the Second Amendment.

1103
01:04:55,680 --> 01:04:58,840
Speaker 1: I'm a Marine, I'm always going to protect your Second Amendment. Right. Well,

1104
01:04:58,840 --> 01:05:01,560
Speaker 1: guess what Buck is f rating from the NRA. This

1105
01:05:01,680 --> 01:05:03,720
Speaker 1: is a guy that traveled all around the district and

1106
01:05:03,760 --> 01:05:05,800
Speaker 1: said that he was pro life. In fact, I still

1107
01:05:05,800 --> 01:05:07,760
Speaker 1: talk to Democrats and Republicans to say, what you know,

1108
01:05:07,840 --> 01:05:10,600
Speaker 1: Connor Lamb's pro life. No, he voted against the Burn

1109
01:05:10,680 --> 01:05:13,760
Speaker 1: Alive Act twice, right, which is the most radical piece

1110
01:05:13,840 --> 01:05:16,520
Speaker 1: of pro pro choice legislation ever. I don't even think

1111
01:05:16,560 --> 01:05:19,240
Speaker 1: that's a debate between pro life and pro choice. That's

1112
01:05:19,240 --> 01:05:22,640
Speaker 1: a pro murder vote. You know. This is a guy

1113
01:05:22,680 --> 01:05:25,200
Speaker 1: that said he was going to oppose Nancy Pelosi, and

1114
01:05:25,360 --> 01:05:29,720
Speaker 1: while Pelosi did give him permission to not vote for

1115
01:05:29,760 --> 01:05:32,600
Speaker 1: her as speaker, since that vote, he's voted with her

1116
01:05:32,640 --> 01:05:34,640
Speaker 1: over ninety percent at the time, but at lockstep with

1117
01:05:34,720 --> 01:05:36,240
Speaker 1: her ever since. So in order for me to be

1118
01:05:36,280 --> 01:05:39,800
Speaker 1: a victorious I'm just trying to show the people that

1119
01:05:39,840 --> 01:05:42,400
Speaker 1: he said one thing to you to your face to

1120
01:05:42,480 --> 01:05:45,800
Speaker 1: win and does another thing. In Washington. He represents the

1121
01:05:45,840 --> 01:05:49,000
Speaker 1: most radical elements of his party. He even votes with

1122
01:05:49,040 --> 01:05:51,520
Speaker 1: people like Ilhan Omar over ninety percent at the time.

1123
01:05:51,560 --> 01:05:53,400
Speaker 1: You can't say that you're moderate and have a voting

1124
01:05:53,480 --> 01:05:56,360
Speaker 1: record like that. So in order for me to win,

1125
01:05:56,440 --> 01:05:59,560
Speaker 1: I've got to get that message out. And so that means,

1126
01:05:59,640 --> 01:06:01,560
Speaker 1: you know, a lot of people don't understand Buck. It's

1127
01:06:01,560 --> 01:06:04,360
Speaker 1: like fundraising. You know, you you've always heard the cliche,

1128
01:06:04,400 --> 01:06:06,480
Speaker 1: you know, campaigns and when the money runs out, Well

1129
01:06:06,480 --> 01:06:11,360
Speaker 1: that's that's because the lifeblood of campaign is money raised

1130
01:06:11,360 --> 01:06:14,600
Speaker 1: and contributed from the great citizens of this country and

1131
01:06:14,640 --> 01:06:16,720
Speaker 1: in the state of Pennsylvania. And right now we are

1132
01:06:16,840 --> 01:06:20,880
Speaker 1: solely focused on fundraising in Q two. And look, man,

1133
01:06:21,160 --> 01:06:24,200
Speaker 1: we are we are. We are about to seize the

1134
01:06:24,200 --> 01:06:27,000
Speaker 1: initiative on the political battlefield of our speaking of battlefield terms,

1135
01:06:27,000 --> 01:06:30,600
Speaker 1: so we're really optimistic about it. Sean Parnell, everybody, if

1136
01:06:30,600 --> 01:06:34,360
Speaker 1: you haven't already, go check out Sean. What's your congressional website.

1137
01:06:34,440 --> 01:06:37,880
Speaker 1: It's Sean for Congress dot CEO. That's nota dot com,

1138
01:06:37,880 --> 01:06:40,600
Speaker 1: it's dot ceo. Al right, go go check out Sean

1139
01:06:40,680 --> 01:06:44,320
Speaker 1: for Congress Dutch CEO. And also all of our folks

1140
01:06:44,440 --> 01:06:47,840
Speaker 1: in Harrisburg, WHP. You know, I know you're not right

1141
01:06:47,920 --> 01:06:50,520
Speaker 1: near his district there, but you guys are in Pennsylvania.

1142
01:06:50,600 --> 01:06:53,640
Speaker 1: So tell your your friends, your neighbors, your cousins out

1143
01:06:53,680 --> 01:06:57,040
Speaker 1: there in Sean's territory out in Pittsburgh, tell them they

1144
01:06:57,080 --> 01:07:00,080
Speaker 1: got a rally for Sean Parnell and hey man, I

1145
01:07:00,080 --> 01:07:01,720
Speaker 1: don't know if I buy you a stake or you

1146
01:07:01,720 --> 01:07:03,439
Speaker 1: buy me a stake if you win, but either way

1147
01:07:03,480 --> 01:07:05,920
Speaker 1: we're gonna be celebrating. So let's hope, let's hope you

1148
01:07:05,920 --> 01:07:07,439
Speaker 1: pull it over the finish line. I know you will.

1149
01:07:07,480 --> 01:07:09,919
Speaker 1: Thanks so much for joining us. Yeah you got a buck.

1150
01:07:09,960 --> 01:07:15,360
Speaker 1: Thank you. Take care you're in the Freedom Hunt. This

1151
01:07:15,440 --> 01:07:21,880
Speaker 1: is the Buck Sexton Show podcast. Got a special treat

1152
01:07:21,920 --> 01:07:27,000
Speaker 1: for all of you. Another fantastic Joe Biden Ism. I mean,

1153
01:07:27,040 --> 01:07:29,800
Speaker 1: the Biden is ms keep piling up, as we know,

1154
01:07:29,920 --> 01:07:32,560
Speaker 1: as we knew they would. This is a guy who

1155
01:07:32,600 --> 01:07:36,120
Speaker 1: you know, he just just sort of likes to yale nonsense.

1156
01:07:36,520 --> 01:07:40,480
Speaker 1: But he's been getting away with you yelling nonsense for

1157
01:07:40,680 --> 01:07:44,320
Speaker 1: so many decades that people are just like, Okay, that's

1158
01:07:44,320 --> 01:07:47,120
Speaker 1: how Joe is. And isn't it so great? No, it's

1159
01:07:47,160 --> 01:07:49,600
Speaker 1: not so great. But we got a good one, a

1160
01:07:49,640 --> 01:07:53,480
Speaker 1: good one here from Joe. He is vowing to you

1161
01:07:54,200 --> 01:07:59,120
Speaker 1: that in a contest in Amano Amano between Biden and

1162
01:07:59,320 --> 01:08:03,680
Speaker 1: Joe Biden, Joe Biden's gonna win. Play clip two. I'm

1163
01:08:03,720 --> 01:08:06,320
Speaker 1: try to say that I have a record. I'm over

1164
01:08:06,400 --> 01:08:10,880
Speaker 1: forty years and that I'm going to beat Joe Biden.

1165
01:08:11,800 --> 01:08:16,719
Speaker 1: I'm gonna beat Joe Biden. Yeah he is. Hey, look

1166
01:08:17,520 --> 01:08:20,920
Speaker 1: Biden versus Biden. Biden can't lose. The guy's brilliant. When

1167
01:08:20,920 --> 01:08:24,000
Speaker 1: you think about the strategy, brilliant strategy from Joe Biden,

1168
01:08:24,760 --> 01:08:27,800
Speaker 1: and this is the same guy who wants stared down.

1169
01:08:27,880 --> 01:08:32,280
Speaker 1: Cornpop made it clear that Cornpop wasn't going to interfere

1170
01:08:32,320 --> 01:08:35,000
Speaker 1: with the sun getting on Biden's leg and tearing the

1171
01:08:35,080 --> 01:08:39,519
Speaker 1: hair blonde on his legs because you know, yeah, man Biden,

1172
01:08:39,720 --> 01:08:42,720
Speaker 1: it's now he does things, and now he's just say, hey,

1173
01:08:42,720 --> 01:08:44,559
Speaker 1: the kids want to touch the hair on my legs.

1174
01:08:44,560 --> 01:08:46,920
Speaker 1: It sounds creepy, but it's not because I'm Joe Biden.

1175
01:08:48,240 --> 01:08:52,559
Speaker 1: It's weird. He also had this. He had this. He

1176
01:08:52,600 --> 01:08:57,000
Speaker 1: had dark sunglasses on over the weekend and of course

1177
01:08:57,040 --> 01:08:58,680
Speaker 1: wearing his face mask because now we know this has

1178
01:08:58,680 --> 01:09:01,959
Speaker 1: all become very political. Dark glasses on and then all black,

1179
01:09:02,400 --> 01:09:04,439
Speaker 1: and I understand he was I think it was, you know,

1180
01:09:04,439 --> 01:09:06,920
Speaker 1: at a Memorial Day situations. Perhaps he's wearing black for

1181
01:09:06,960 --> 01:09:09,439
Speaker 1: the color of mourning. But I'm just the optics of it.

1182
01:09:09,479 --> 01:09:12,439
Speaker 1: This photo going around to Biden where he's got these

1183
01:09:12,520 --> 01:09:15,400
Speaker 1: dark glasses and this totally black face mask covering on.

1184
01:09:15,720 --> 01:09:17,479
Speaker 1: I mean it looks like he used to be chasing

1185
01:09:17,600 --> 01:09:21,200
Speaker 1: Froto around Middle Earth on horseback in his maniacal search

1186
01:09:21,240 --> 01:09:24,040
Speaker 1: for the one ring to rule them all. You know,

1187
01:09:24,520 --> 01:09:26,280
Speaker 1: it's not a not a good look. Was not a

1188
01:09:26,320 --> 01:09:29,599
Speaker 1: good look for for Biden. But that's not that's not

1189
01:09:29,640 --> 01:09:33,200
Speaker 1: surprising at all. Um and and Trump, I think, is

1190
01:09:33,880 --> 01:09:35,880
Speaker 1: you look, Trump's gonna have a field day with the

1191
01:09:35,880 --> 01:09:38,600
Speaker 1: whole Biden situation. Is it really gonna matter all? How much? Know?

1192
01:09:38,760 --> 01:09:41,960
Speaker 1: It's gonna entertain those of us who already think that

1193
01:09:42,000 --> 01:09:45,000
Speaker 1: Biden's a buffoon, and the notion that he would do

1194
01:09:45,040 --> 01:09:47,439
Speaker 1: such a better job than Trump is rooted in nothing

1195
01:09:47,479 --> 01:09:52,200
Speaker 1: other than the the wishes of the left. But I

1196
01:09:52,240 --> 01:09:57,000
Speaker 1: would say that it's gonna it's gonna be fun for us,

1197
01:09:57,040 --> 01:09:59,200
Speaker 1: those of us who already know this about Biden. What

1198
01:09:59,240 --> 01:10:01,840
Speaker 1: Trump has a say about Here's Trump talking about Biden

1199
01:10:02,040 --> 01:10:05,879
Speaker 1: play clip twenty. What do you think is Joe Biden's

1200
01:10:05,880 --> 01:10:10,800
Speaker 1: strongest feature as a competitor in politics? Well? I would

1201
01:10:10,800 --> 01:10:13,679
Speaker 1: have said experience, but he doesn't really have experienced because

1202
01:10:13,720 --> 01:10:15,920
Speaker 1: I don't think he remembers what he did yesterday. So

1203
01:10:16,240 --> 01:10:18,639
Speaker 1: how is that experience? He's been there a long time.

1204
01:10:19,000 --> 01:10:28,479
Speaker 1: He was never known as a smart person. Okay, what

1205
01:10:28,680 --> 01:10:30,559
Speaker 1: is his weakest point? I can't tell you. I mean,

1206
01:10:30,600 --> 01:10:33,040
Speaker 1: I'm really serious, He's got many. I could talk about

1207
01:10:33,120 --> 01:10:37,920
Speaker 1: weak points all day long. I never like this. Oh

1208
01:10:37,960 --> 01:10:40,439
Speaker 1: you'd say something nice about your opponent. I don't. I

1209
01:10:40,439 --> 01:10:41,880
Speaker 1: don't know, I don't. I don't feel like this is

1210
01:10:41,880 --> 01:10:44,240
Speaker 1: something that journalists need to do. But people do it.

1211
01:10:45,200 --> 01:10:48,720
Speaker 1: But he's his point about how Biden's experience seems less

1212
01:10:48,760 --> 01:10:51,840
Speaker 1: relevant considering it's not clear that Biden would even be

1213
01:10:51,880 --> 01:10:56,160
Speaker 1: able to draw upon his experience because he can't remember stuff.

1214
01:10:56,160 --> 01:10:59,360
Speaker 1: I can't remember what he did yesterday that I think

1215
01:10:59,439 --> 01:11:03,559
Speaker 1: is gonna that might land even beyond Trump voters. That

1216
01:11:03,640 --> 01:11:05,880
Speaker 1: might land with people that are thinking, we're really going

1217
01:11:05,920 --> 01:11:07,680
Speaker 1: to put this guy in charge. This is why the

1218
01:11:08,040 --> 01:11:11,400
Speaker 1: I think the savvy Democrats recognize that they may need

1219
01:11:11,520 --> 01:11:15,080
Speaker 1: a messaging strategy beyond look at how bad the economy is,

1220
01:11:15,320 --> 01:11:17,639
Speaker 1: look at how many people died from COVID. It's all

1221
01:11:17,720 --> 01:11:20,200
Speaker 1: Trump's fault. They need They may need something more than that,

1222
01:11:20,520 --> 01:11:23,320
Speaker 1: because if COVID receides and the economy is on the upswing.

1223
01:11:24,800 --> 01:11:27,840
Speaker 1: Why would people that are seeing that have experienced three

1224
01:11:27,880 --> 01:11:30,280
Speaker 1: great years with Trump and are already seeing the change

1225
01:11:30,280 --> 01:11:33,080
Speaker 1: back to those great years, those who you know vote

1226
01:11:33,080 --> 01:11:36,599
Speaker 1: on real economic issues, for example, why would they want

1227
01:11:36,600 --> 01:11:39,679
Speaker 1: to trust this this Biden buffoon? Oh because the media says,

1228
01:11:39,720 --> 01:11:42,400
Speaker 1: so that's not going to be good enough. Thanks for

1229
01:11:42,479 --> 01:11:46,280
Speaker 1: listening to the bus show past. Remember to subscribe on

1230
01:11:46,360 --> 01:11:50,600
Speaker 1: Apple podcasts, the iHeartRadio app, or wherever you get your podcasts.

1231
01:11:51,800 --> 01:11:59,240
Speaker 1: Are we becoming a nation of schoolmarms, hall monitors, busybodies,

1232
01:12:00,160 --> 01:12:02,800
Speaker 1: people that are always saying they want to speak to

1233
01:12:02,840 --> 01:12:06,400
Speaker 1: the manager. I think the answer, unfortunately, is yes. And

1234
01:12:06,479 --> 01:12:09,400
Speaker 1: we have some incidents that would certainly go in the

1235
01:12:09,479 --> 01:12:13,800
Speaker 1: in the evidence pile for that thesis. But to walk

1236
01:12:13,880 --> 01:12:15,400
Speaker 1: us through some of this and to talk to us

1237
01:12:15,400 --> 01:12:20,479
Speaker 1: what he sees going on. Here is my friend Chadwick Moore,

1238
01:12:20,680 --> 01:12:23,240
Speaker 1: who joins us now. He's going to talk to us

1239
01:12:23,760 --> 01:12:27,679
Speaker 1: about the biggest single viral video of the weekend. He

1240
01:12:27,800 --> 01:12:32,120
Speaker 1: is a writer for Spectator USA. Chadwick, good sir, good

1241
01:12:32,160 --> 01:12:36,639
Speaker 1: to have you, hey, mister Sexton. How you doing. I'm good, Chadwick,

1242
01:12:36,680 --> 01:12:39,080
Speaker 1: So tell me this, my friend. Well, actually, let's first

1243
01:12:39,080 --> 01:12:41,960
Speaker 1: story I want people to hear no, no, you, you

1244
01:12:42,080 --> 01:12:48,000
Speaker 1: tell us the background story to the incident in Central

1245
01:12:48,000 --> 01:12:49,920
Speaker 1: Park here in Manhattan, not far at all from where

1246
01:12:49,920 --> 01:12:52,720
Speaker 1: I am right now, and then and then I'll play

1247
01:12:52,760 --> 01:12:55,519
Speaker 1: the audio so everybody can hear it. But what happened?

1248
01:12:55,680 --> 01:12:58,040
Speaker 1: What's with this viral video that everyone's calling kind of

1249
01:12:58,040 --> 01:13:01,280
Speaker 1: the the ultimate Karen and in fact saying much uglier

1250
01:13:01,320 --> 01:13:04,800
Speaker 1: stuff than that too, But what happened? It is the

1251
01:13:04,880 --> 01:13:07,559
Speaker 1: alternate Karen. It's not just one Karen. It's a story

1252
01:13:07,600 --> 01:13:10,760
Speaker 1: of a collision, a collision of Karen's and it just

1253
01:13:10,800 --> 01:13:13,519
Speaker 1: gets even deeper and uglier. So what happened is there

1254
01:13:13,600 --> 01:13:16,519
Speaker 1: is this woman apparently with her dog off the leash

1255
01:13:16,600 --> 01:13:19,519
Speaker 1: in Central Park in an area called the Rambles, which

1256
01:13:19,560 --> 01:13:22,000
Speaker 1: is sort of a kind of bucolic wooded area of

1257
01:13:22,080 --> 01:13:26,040
Speaker 1: Central Park. And man comes up who says he's a

1258
01:13:26,040 --> 01:13:28,920
Speaker 1: birdwatcher and tells her to put her dog on a leash,

1259
01:13:28,960 --> 01:13:33,080
Speaker 1: and some sort of confrontation ensues, and then he pulls

1260
01:13:33,080 --> 01:13:36,439
Speaker 1: out his camera and starts recording her reaction. So this

1261
01:13:36,479 --> 01:13:39,040
Speaker 1: man also then put on Facebook he sort of described

1262
01:13:39,120 --> 01:13:42,280
Speaker 1: what happened before he took his camera out, in which

1263
01:13:42,400 --> 01:13:44,360
Speaker 1: they got into a fight over the dog not being

1264
01:13:44,400 --> 01:13:47,439
Speaker 1: into on a leash, and then he said something like, well,

1265
01:13:47,479 --> 01:13:49,320
Speaker 1: I'm just gonna have to do take things into my

1266
01:13:49,360 --> 01:13:52,160
Speaker 1: own hands, and called the dog over to him and

1267
01:13:52,200 --> 01:13:55,360
Speaker 1: reached into his pocket for dog treats, which he said

1268
01:13:55,400 --> 01:13:58,519
Speaker 1: that he carries around with him for just this reason.

1269
01:13:59,240 --> 01:14:02,280
Speaker 1: And then she is gets on the phone to call

1270
01:14:02,360 --> 01:14:05,920
Speaker 1: the police, and she's really unhinged and shaking, and she

1271
01:14:06,040 --> 01:14:07,720
Speaker 1: grabs her dog, who's now on the leash, and the

1272
01:14:07,760 --> 01:14:11,120
Speaker 1: dog looks like it's choking, and then she says, I'm

1273
01:14:11,160 --> 01:14:13,599
Speaker 1: gonna tell the police that an African American man just

1274
01:14:13,640 --> 01:14:16,160
Speaker 1: threatened me, which she says twice. She made it racial

1275
01:14:16,240 --> 01:14:18,880
Speaker 1: for some reason, which is the main which is the

1276
01:14:18,880 --> 01:14:22,519
Speaker 1: main reason why this has now gone viral. And she

1277
01:14:22,600 --> 01:14:24,880
Speaker 1: has now since been UM. I don't know if she's

1278
01:14:24,920 --> 01:14:27,639
Speaker 1: fired yet, but she was put on leave from her job.

1279
01:14:28,160 --> 01:14:31,000
Speaker 1: She worked in finance, I believe, and she had and

1280
01:14:31,040 --> 01:14:34,559
Speaker 1: she had to voluntarily give up her dog to the home,

1281
01:14:34,640 --> 01:14:36,679
Speaker 1: to the to the shelter where she rescued it from

1282
01:14:37,320 --> 01:14:39,960
Speaker 1: uh and UM. And then, of course, well all that

1283
01:14:40,040 --> 01:14:43,240
Speaker 1: happened because a bunch of Karen's on Twitter found out

1284
01:14:43,240 --> 01:14:46,080
Speaker 1: her identity. They mobbed her employer and then they had

1285
01:14:46,080 --> 01:14:51,240
Speaker 1: to respond. So it's really just a this sort of shaming,

1286
01:14:51,240 --> 01:14:54,360
Speaker 1: this public shaming, this cancel culture, this this pull out

1287
01:14:54,360 --> 01:14:57,360
Speaker 1: your cell phone and start recording a stranger every time

1288
01:14:57,479 --> 01:15:00,600
Speaker 1: you you get to get into a bad interaction with

1289
01:15:00,680 --> 01:15:03,760
Speaker 1: them and hope that it ruins their life. Is uh,

1290
01:15:03,920 --> 01:15:07,519
Speaker 1: we've been this in this um in this state as

1291
01:15:07,520 --> 01:15:10,920
Speaker 1: a country for many many years now. Um. You know

1292
01:15:10,960 --> 01:15:13,639
Speaker 1: there was a woman named Justine Sako. Do you recall

1293
01:15:13,720 --> 01:15:15,800
Speaker 1: that case? Was I do? That was on the plane? Right?

1294
01:15:15,880 --> 01:15:18,519
Speaker 1: That was that was a tweet that ruined her life. Right,

1295
01:15:18,600 --> 01:15:21,160
Speaker 1: that was the woman who was flying to South Africa

1296
01:15:21,240 --> 01:15:24,000
Speaker 1: and had a layover in London and said on Twitter

1297
01:15:24,280 --> 01:15:26,280
Speaker 1: going to South Africa, I hope I don't get AIDS,

1298
01:15:26,400 --> 01:15:30,120
Speaker 1: just kidding, I'm white. And then she waits, she lands

1299
01:15:30,120 --> 01:15:31,960
Speaker 1: eight hours later or whatever, and she's the number one

1300
01:15:32,000 --> 01:15:34,799
Speaker 1: trending topic in the world, and you know, her excuse

1301
01:15:34,880 --> 01:15:37,599
Speaker 1: was she's making a joke about like her white privilege

1302
01:15:37,600 --> 01:15:39,240
Speaker 1: and blah blah blah. But of course, you know this

1303
01:15:39,320 --> 01:15:42,439
Speaker 1: mob had had jumped on her. Um. That was really

1304
01:15:42,520 --> 01:15:45,360
Speaker 1: kind of the first big case of this culture. And

1305
01:15:45,400 --> 01:15:48,720
Speaker 1: it hasn't disappeared. Yeah, so so let's let's play for

1306
01:15:48,760 --> 01:15:52,360
Speaker 1: the audience the audio and those who're watching on Pluto

1307
01:15:52,400 --> 01:15:56,439
Speaker 1: TV can see the video of this incident in the park.

1308
01:15:56,560 --> 01:15:58,439
Speaker 1: Woman had her dog off. This is what we're told.

1309
01:15:58,439 --> 01:16:00,760
Speaker 1: At least woman had her dog off the league in

1310
01:16:00,840 --> 01:16:04,719
Speaker 1: advance of the video being made. So she she freaks out.

1311
01:16:04,760 --> 01:16:07,519
Speaker 1: I'm sorry that I called that. She freaks out, and

1312
01:16:07,600 --> 01:16:12,400
Speaker 1: she says, hey, you know I you know, she calls

1313
01:16:12,439 --> 01:16:14,880
Speaker 1: the police. She mentions, you know, an African American man

1314
01:16:14,960 --> 01:16:20,600
Speaker 1: is threatening me twice. Now, I'm gonna say this clearly, Chadwick, bizarre,

1315
01:16:20,920 --> 01:16:25,520
Speaker 1: weirdly racist thing for her to say under the circumstances unacceptable,

1316
01:16:25,760 --> 01:16:28,880
Speaker 1: fair enough. I also would say, as somebody who has

1317
01:16:28,880 --> 01:16:31,439
Speaker 1: been entrusted with my family dog for two months, that

1318
01:16:31,520 --> 01:16:34,760
Speaker 1: if a stranger of any kind, any background, doesn't matter,

1319
01:16:35,120 --> 01:16:38,360
Speaker 1: a stranger called my dog over in any kind of

1320
01:16:38,400 --> 01:16:41,000
Speaker 1: a threatening fashion and was reaching into his pocket to

1321
01:16:41,080 --> 01:16:45,160
Speaker 1: feed it without my permission or consent, I would have

1322
01:16:45,240 --> 01:16:47,800
Speaker 1: things would actually escalate and get very ugly, very quickly.

1323
01:16:47,840 --> 01:16:49,479
Speaker 1: I don't know who this person. I don't know what

1324
01:16:49,520 --> 01:16:51,920
Speaker 1: they're feed. Maybe they're feeding my dog rat poison, right,

1325
01:16:51,960 --> 01:16:54,360
Speaker 1: I don't know, especially when you've had a tense encounter

1326
01:16:54,600 --> 01:16:59,120
Speaker 1: to your point about how you know that's a weird

1327
01:16:59,400 --> 01:17:02,799
Speaker 1: that's a weird move. Not does not justify her weird

1328
01:17:02,880 --> 01:17:05,639
Speaker 1: moves after it. But I feel like that hasn't gotten

1329
01:17:05,920 --> 01:17:08,800
Speaker 1: any as as somebody who's got a dog and as

1330
01:17:08,840 --> 01:17:11,080
Speaker 1: a dog, as someone who loves dogs. I don't think

1331
01:17:11,080 --> 01:17:13,160
Speaker 1: you call over someone else's dog and say, just wait

1332
01:17:13,200 --> 01:17:14,960
Speaker 1: till you see what I'm gonna do to it. That's

1333
01:17:15,040 --> 01:17:18,759
Speaker 1: very weird. Yeah, it was really strange, really really threatening,

1334
01:17:18,800 --> 01:17:20,720
Speaker 1: and you're right that the back she brought race into

1335
01:17:20,720 --> 01:17:23,479
Speaker 1: it was just bizarre. But she, I mean, what did

1336
01:17:23,520 --> 01:17:25,800
Speaker 1: she expect it? If she says African American, then a

1337
01:17:25,880 --> 01:17:29,880
Speaker 1: swat team's gonna parachute in, you know that that's this

1338
01:17:29,920 --> 01:17:32,080
Speaker 1: is This is where where it gets ugly. Where it

1339
01:17:32,080 --> 01:17:34,880
Speaker 1: gets ugly on her part as it seems like she's saying, oh,

1340
01:17:34,960 --> 01:17:37,800
Speaker 1: I'm being threatened by an African American man, you know,

1341
01:17:37,920 --> 01:17:40,479
Speaker 1: as if the NYPD then it's gonna you know, deploy

1342
01:17:40,880 --> 01:17:43,559
Speaker 1: you know, smoke grenades and the swat team right away.

1343
01:17:43,640 --> 01:17:46,880
Speaker 1: I mean, it's it was ugly. That's ugly. What that

1344
01:17:46,960 --> 01:17:48,920
Speaker 1: was the part of it where she or the public.

1345
01:17:49,080 --> 01:17:50,840
Speaker 1: But I gotta say the part before that, I like,

1346
01:17:50,880 --> 01:17:52,880
Speaker 1: it's not like this guy was mining his own business

1347
01:17:52,880 --> 01:17:55,280
Speaker 1: and being normal. Like what he did was weird too.

1348
01:17:55,439 --> 01:17:57,479
Speaker 1: But then to your point also about the cancel culture

1349
01:17:57,520 --> 01:18:00,320
Speaker 1: part of this, this woman is now I mean, at

1350
01:18:00,400 --> 01:18:02,760
Speaker 1: least across the United States famous. I mean, she will

1351
01:18:02,800 --> 01:18:05,439
Speaker 1: be known on the internet probably forever for this one

1352
01:18:05,479 --> 01:18:09,240
Speaker 1: incident and not a good plight is ruined and she Yeah,

1353
01:18:09,439 --> 01:18:12,479
Speaker 1: the weirdly racist stuff is so uncomfortable an awful way.

1354
01:18:12,520 --> 01:18:14,120
Speaker 1: I mean. And also I mean, I'm gonna go out

1355
01:18:14,160 --> 01:18:15,920
Speaker 1: on a limb here. I don't know for sure, but

1356
01:18:16,000 --> 01:18:19,200
Speaker 1: I'm gonna imagine that maybe she cried an election night

1357
01:18:19,200 --> 01:18:21,160
Speaker 1: when Hillary lost. You know, I'm gonna like think that

1358
01:18:21,240 --> 01:18:23,720
Speaker 1: maybe she's not like a big Republican yep. You know,

1359
01:18:24,160 --> 01:18:26,840
Speaker 1: it's like I'm gonna, I'm gonna, I'm just gonna guess that,

1360
01:18:26,920 --> 01:18:29,960
Speaker 1: you know, Manhattan woman, career woman out with their dog,

1361
01:18:30,120 --> 01:18:33,800
Speaker 1: you know. Um, So it's it's really strange. But the

1362
01:18:33,800 --> 01:18:37,600
Speaker 1: bigger pictures, I'm she's who knows what she meant by that?

1363
01:18:37,680 --> 01:18:40,240
Speaker 1: If she was maybe I don't know, but it's almost

1364
01:18:40,600 --> 01:18:43,439
Speaker 1: I think the bigger story is still this cancel culture

1365
01:18:43,479 --> 01:18:45,479
Speaker 1: and this this is shame. There there are no good

1366
01:18:45,520 --> 01:18:48,640
Speaker 1: people in this story, you know. And it's like, but

1367
01:18:48,960 --> 01:18:51,120
Speaker 1: one person's life has been ruined, I imagine another one

1368
01:18:51,240 --> 01:18:53,280
Speaker 1: is getting all sorts of sympathy because of the racist

1369
01:18:53,280 --> 01:18:56,599
Speaker 1: attack from a white woman and uh it's um it's

1370
01:18:56,640 --> 01:18:58,599
Speaker 1: just such an ugly culture. And just when you think

1371
01:18:58,640 --> 01:19:00,720
Speaker 1: that it might kind of be going way, something like

1372
01:19:00,760 --> 01:19:03,479
Speaker 1: this happens and we're reminded that this is so very

1373
01:19:03,560 --> 01:19:06,160
Speaker 1: much where we live. You know. Um, I imagine that

1374
01:19:06,160 --> 01:19:09,280
Speaker 1: that journalism professors across the country or telling their students,

1375
01:19:09,720 --> 01:19:12,240
Speaker 1: you know, that that that that they should be recording everything.

1376
01:19:12,280 --> 01:19:14,200
Speaker 1: Always have your phone out, always be trying to catch

1377
01:19:14,240 --> 01:19:16,200
Speaker 1: someone doing something. You know, you've got this device in

1378
01:19:16,200 --> 01:19:18,760
Speaker 1: your pocket, that it's very powerful, and indeed it is

1379
01:19:18,880 --> 01:19:21,840
Speaker 1: very powerful. I mean, this woman's life is now destroyed

1380
01:19:22,160 --> 01:19:25,080
Speaker 1: all because of this encounter, which which we didn't even

1381
01:19:25,080 --> 01:19:29,120
Speaker 1: see the entire uh interaction and um yeah, the man

1382
01:19:29,439 --> 01:19:32,160
Speaker 1: saying that he carries dog treats around just for this

1383
01:19:32,680 --> 01:19:35,120
Speaker 1: specific kind of like what did he plan to do?

1384
01:19:35,200 --> 01:19:38,040
Speaker 1: I don't I don't understand. And so you're in the

1385
01:19:38,040 --> 01:19:41,040
Speaker 1: park just to um what catch people who don't have

1386
01:19:41,080 --> 01:19:44,679
Speaker 1: their dogs on leashes. It's just someone walks around people

1387
01:19:44,880 --> 01:19:47,040
Speaker 1: looking for people that have their dog off the leash

1388
01:19:47,240 --> 01:19:49,080
Speaker 1: so they can call them away from you with a

1389
01:19:49,160 --> 01:19:52,839
Speaker 1: dog treat. Um that that would on that's a weirdo

1390
01:19:53,040 --> 01:19:55,599
Speaker 1: move and that would unnerve me. That's that's a strange

1391
01:19:55,760 --> 01:19:57,760
Speaker 1: you know. Yeah, this way, I feel like if your

1392
01:19:57,840 --> 01:19:59,760
Speaker 1: kid ran too far ahead of you in the park

1393
01:20:00,000 --> 01:20:02,600
Speaker 1: and someone was standing there with an ice cream sandwich saying, oh, like,

1394
01:20:02,680 --> 01:20:04,400
Speaker 1: it looks like I'm in charge of the kid now,

1395
01:20:04,439 --> 01:20:07,280
Speaker 1: everybody would understandably completely freak out. I know this is

1396
01:20:07,280 --> 01:20:09,559
Speaker 1: a dog, not a human being we're talking about, but

1397
01:20:09,680 --> 01:20:11,720
Speaker 1: it's kind of a It's still a weird move, right

1398
01:20:11,720 --> 01:20:14,680
Speaker 1: Like you wouldn't give someone's kid something because they got

1399
01:20:14,720 --> 01:20:16,519
Speaker 1: too far ahead of them of the mom or the dad.

1400
01:20:16,560 --> 01:20:18,800
Speaker 1: You wouldn't give them like a treat without asking the parent.

1401
01:20:19,040 --> 01:20:21,280
Speaker 1: You don't. You don't feed someone's dog and bring them

1402
01:20:21,280 --> 01:20:23,559
Speaker 1: away from the owner. That's not cool at all. So

1403
01:20:23,640 --> 01:20:25,920
Speaker 1: I I mean, I'm just saying, but again, yeah, you know,

1404
01:20:25,960 --> 01:20:27,679
Speaker 1: the moment, the moment you started acting like a racist

1405
01:20:27,760 --> 01:20:29,720
Speaker 1: weirdo as a woman did now and now you're now

1406
01:20:29,920 --> 01:20:32,920
Speaker 1: you know your life is basically in a very tough,

1407
01:20:33,200 --> 01:20:34,800
Speaker 1: very tough spot. But I want to get to the

1408
01:20:34,840 --> 01:20:37,519
Speaker 1: other and this got less attention. But I thought, in

1409
01:20:37,560 --> 01:20:40,360
Speaker 1: some ways, you know, there's a whole there's a whole

1410
01:20:40,360 --> 01:20:43,200
Speaker 1: other layer of speaking of Chadwick more. He is a

1411
01:20:43,200 --> 01:20:45,559
Speaker 1: commiss respect the or USA. He lives in Brooklyn. He's

1412
01:20:45,560 --> 01:20:48,400
Speaker 1: like me, he's here in New York. But Chadwick. This

1413
01:20:48,400 --> 01:20:52,680
Speaker 1: this Canadian broadcast television on the news, they're doing some

1414
01:20:52,760 --> 01:20:56,920
Speaker 1: interviews about mask wearing. And here's what ended up happening.

1415
01:20:57,080 --> 01:20:59,840
Speaker 1: A young guy goes up to a woman who's being

1416
01:20:59,880 --> 01:21:02,360
Speaker 1: interviewed and you know, gives her up, gives her a

1417
01:21:02,400 --> 01:21:06,040
Speaker 1: big kiss on Canadian broadcast TV as they're talking about

1418
01:21:06,080 --> 01:21:09,040
Speaker 1: mask wearing and COVID. Here's here's how that went place. Sixteen.

1419
01:21:09,720 --> 01:21:14,800
Speaker 1: I feel as if mass are not one hundred percent important. Um.

1420
01:21:14,920 --> 01:21:21,479
Speaker 1: I feel as if a spontaneous kiss from someone that

1421
01:21:21,600 --> 01:21:28,400
Speaker 1: she doesn't know. Oh my god, no, I met him

1422
01:21:28,439 --> 01:21:33,639
Speaker 1: for a second with my dog. That's insane. All right, Yeah,

1423
01:21:33,680 --> 01:21:39,400
Speaker 1: he's having milk just minutes earlier. Okay, I mean that

1424
01:21:39,400 --> 01:21:42,439
Speaker 1: that's all he really so so Chadwick. I love this

1425
01:21:42,560 --> 01:21:47,439
Speaker 1: because any normal person would go, hey, they had talked

1426
01:21:47,439 --> 01:21:50,040
Speaker 1: a little bit before she's in this interview. This guy,

1427
01:21:50,200 --> 01:21:53,120
Speaker 1: this guy makes a move and in case it's not

1428
01:21:53,160 --> 01:21:55,559
Speaker 1: clear enough, I mean, look, you know, if a woman

1429
01:21:55,640 --> 01:21:57,080
Speaker 1: doesn't want to give you, there's a whole lot of

1430
01:21:57,120 --> 01:21:59,240
Speaker 1: ways that you know, she can she can make that

1431
01:21:59,320 --> 01:22:02,920
Speaker 1: clear m But you know she she's like blushing and

1432
01:22:03,000 --> 01:22:06,160
Speaker 1: goes ooh he's hot. Okay, that is that is not

1433
01:22:06,240 --> 01:22:09,960
Speaker 1: the response of somebody who feels violated or all. This

1434
01:22:10,160 --> 01:22:14,280
Speaker 1: is terrible and immediately because God Canada that all, oh yeah,

1435
01:22:14,320 --> 01:22:16,439
Speaker 1: we're all like male feminists, like the Prime minister, at

1436
01:22:16,479 --> 01:22:18,759
Speaker 1: least the Libs in Canada. I love my conservative Canadians,

1437
01:22:18,760 --> 01:22:21,400
Speaker 1: but the Libs in Canada have lost their minds with Trudeau.

1438
01:22:21,439 --> 01:22:24,200
Speaker 1: The male feminist, a male feminist with a history of

1439
01:22:24,600 --> 01:22:27,880
Speaker 1: wearing black face. I would note, but you know, here

1440
01:22:28,040 --> 01:22:30,280
Speaker 1: in and we're just like okay with this. For some reason,

1441
01:22:30,360 --> 01:22:31,600
Speaker 1: we're not okay with it. But they, you know, they

1442
01:22:31,680 --> 01:22:35,080
Speaker 1: move past it so quickly. Uh and here it is,

1443
01:22:35,120 --> 01:22:37,519
Speaker 1: and you know what, they start talking about sexual assault

1444
01:22:37,600 --> 01:22:40,160
Speaker 1: Chadwick right away, right that that's the that's the leap

1445
01:22:40,240 --> 01:22:44,240
Speaker 1: they make because it drives them insane. How incredibly charming

1446
01:22:44,320 --> 01:22:47,520
Speaker 1: and sweet it was, and the girl is so smitten afterwards,

1447
01:22:47,920 --> 01:22:50,479
Speaker 1: and um, I mean, wow, it's And it's also political

1448
01:22:50,560 --> 01:22:52,639
Speaker 1: right now, isn't it, because you know, masks have become

1449
01:22:52,680 --> 01:22:55,320
Speaker 1: such a political hot button issue. This this whole idea

1450
01:22:55,400 --> 01:22:57,800
Speaker 1: of you know, being afraid of your neighbor and staying

1451
01:22:57,840 --> 01:23:00,760
Speaker 1: away from strangers and everyone's gonna get you say, And

1452
01:23:01,200 --> 01:23:03,599
Speaker 1: here you have a guy coming up and just kissing

1453
01:23:04,280 --> 01:23:08,120
Speaker 1: a relative stranger and it was really sweet and charming.

1454
01:23:08,160 --> 01:23:10,040
Speaker 1: I think that people really needed to see that. I

1455
01:23:10,040 --> 01:23:12,599
Speaker 1: think that's why it's also gone viral. We're so sick

1456
01:23:12,640 --> 01:23:15,320
Speaker 1: of being isolated and being told that our neighbors are

1457
01:23:15,320 --> 01:23:18,080
Speaker 1: going to kill us with some invisible bug. And yet

1458
01:23:18,120 --> 01:23:21,839
Speaker 1: of course the left has to jump on this idea

1459
01:23:21,840 --> 01:23:25,040
Speaker 1: about consent, and well, you know, maybe this just proved

1460
01:23:25,080 --> 01:23:28,320
Speaker 1: this woman appears to be completely swept off her feet

1461
01:23:28,360 --> 01:23:31,160
Speaker 1: and utterly charmed, and maybe that just proves us an

1462
01:23:31,280 --> 01:23:35,519
Speaker 1: entire puritanical consent culture where you need a six page

1463
01:23:35,880 --> 01:23:40,280
Speaker 1: signed document before you hold someone's hand. Is people are

1464
01:23:40,320 --> 01:23:43,040
Speaker 1: over it, and people like these kind of more traditional,

1465
01:23:43,760 --> 01:23:47,000
Speaker 1: sort of valiant acts, these very a very sort of

1466
01:23:47,080 --> 01:23:51,840
Speaker 1: romantic spur of the moment act. And you know, that's

1467
01:23:52,960 --> 01:23:55,400
Speaker 1: makes it a nicer place for all. I just I

1468
01:23:55,680 --> 01:23:59,679
Speaker 1: also the ver very serious broadcaster who came up later

1469
01:23:59,720 --> 01:24:02,040
Speaker 1: on can know the doing the whole sort of broadcaster

1470
01:24:02,280 --> 01:24:06,599
Speaker 1: being super intense thing on CTV. Not only I mean

1471
01:24:06,640 --> 01:24:09,519
Speaker 1: not only were there was there immediately, Oh are you okay? Good? Heavens,

1472
01:24:09,520 --> 01:24:11,240
Speaker 1: a guy you think is hot just gave you a

1473
01:24:11,320 --> 01:24:14,240
Speaker 1: kiss and you're like swooning. She was like swooning. I

1474
01:24:14,240 --> 01:24:16,320
Speaker 1: mean she was gonna, oh, you know, yeah, it was

1475
01:24:16,360 --> 01:24:19,240
Speaker 1: really cute. Obviously, any normal person understands. And also any

1476
01:24:19,240 --> 01:24:22,080
Speaker 1: normal person knows that somebody who's been flirting with someone,

1477
01:24:22,560 --> 01:24:24,559
Speaker 1: you know, and then that person that they think is

1478
01:24:24,560 --> 01:24:28,160
Speaker 1: really attractive comes up and kisses them. This is like

1479
01:24:28,240 --> 01:24:30,759
Speaker 1: not a people dream about this. Guys, there's not a problem.

1480
01:24:30,880 --> 01:24:35,320
Speaker 1: But but CTV then goes you Canadian TV then has

1481
01:24:35,360 --> 01:24:37,200
Speaker 1: to do this. Oh, not only are they worried about

1482
01:24:37,200 --> 01:24:40,799
Speaker 1: the consent aspect of it, they're sorry even for airing

1483
01:24:40,840 --> 01:24:44,880
Speaker 1: it on TV. Play seventeen follow up on a story

1484
01:24:44,880 --> 01:24:47,439
Speaker 1: that aired last night on CTV News at eleven thirty

1485
01:24:47,640 --> 01:24:50,439
Speaker 1: and a story on social distancing. We included an interview

1486
01:24:50,439 --> 01:24:52,880
Speaker 1: with a woman in a park. During the interview, a

1487
01:24:52,960 --> 01:24:55,200
Speaker 1: stranger came up to the woman and kissed her directly

1488
01:24:55,240 --> 01:24:58,000
Speaker 1: on the lips. Our story then focused on the dangers

1489
01:24:58,000 --> 01:25:00,560
Speaker 1: of kissing a stranger on the lips during a pandemic.

1490
01:25:01,040 --> 01:25:03,880
Speaker 1: It was wrong to air this video. The video demonstrated

1491
01:25:03,960 --> 01:25:07,439
Speaker 1: non constantual behavior and downplay the fact that what occurred

1492
01:25:07,479 --> 01:25:10,960
Speaker 1: was simply unacceptable and offensive. It does not meet CTV

1493
01:25:11,000 --> 01:25:15,679
Speaker 1: News editorial standards, and we apologize. I mean, Chadwick, this

1494
01:25:15,720 --> 01:25:19,720
Speaker 1: guy is saying it didn't meet our editorial standards. It

1495
01:25:19,840 --> 01:25:25,320
Speaker 1: was unacceptable to air this kiss, clearly airing unacceptable behavior.

1496
01:25:25,439 --> 01:25:29,240
Speaker 1: I mean, they're like, what is wrong with these people?

1497
01:25:29,520 --> 01:25:31,840
Speaker 1: Were none of them ever like in high school or

1498
01:25:31,840 --> 01:25:35,280
Speaker 1: college dating? Have none of them ever like actually enjoyed

1499
01:25:35,280 --> 01:25:38,160
Speaker 1: a moment in life without wondering what the skulls the

1500
01:25:38,240 --> 01:25:41,880
Speaker 1: Karens on Twitter are going to say? Exactly, Yeah, And

1501
01:25:42,280 --> 01:25:44,080
Speaker 1: you know, Twitter is such an outside Twitter is not

1502
01:25:44,240 --> 01:25:46,280
Speaker 1: real life. This is what, especially if these companies need

1503
01:25:46,360 --> 01:25:48,080
Speaker 1: to realize, is that if you have a mob of

1504
01:25:48,160 --> 01:25:50,400
Speaker 1: Karen's coming after you on Twitter, that's not real life.

1505
01:25:50,439 --> 01:25:52,439
Speaker 1: The vast majority of people who just watched that probably

1506
01:25:52,479 --> 01:25:55,160
Speaker 1: at home on their television. We're probably really delighted by it,

1507
01:25:55,800 --> 01:25:57,760
Speaker 1: but then you know you've got the most. This is

1508
01:25:57,760 --> 01:25:59,880
Speaker 1: always the case, right, you know, the sort of the

1509
01:26:00,120 --> 01:26:03,240
Speaker 1: very tiny percent of the most unhinged and outraged and

1510
01:26:03,439 --> 01:26:06,760
Speaker 1: and unstable people who are typically tend to be left

1511
01:26:06,800 --> 01:26:11,360
Speaker 1: wing activists grab the microphone and they bully and intimidate,

1512
01:26:11,520 --> 01:26:14,680
Speaker 1: and these companies and in this case a news organization

1513
01:26:15,120 --> 01:26:18,000
Speaker 1: into um, you know, being clutching their pearls and have

1514
01:26:18,040 --> 01:26:20,639
Speaker 1: to issue an apology or you know, maybe people inside

1515
01:26:20,640 --> 01:26:23,519
Speaker 1: the news organization, some miserable person and human resources or

1516
01:26:23,520 --> 01:26:26,400
Speaker 1: what have you, some miserable, lonely person who wishes that

1517
01:26:26,520 --> 01:26:29,400
Speaker 1: she was that girl, but you know he can't have it,

1518
01:26:29,520 --> 01:26:32,360
Speaker 1: so UM has to to try to ruin everyone else

1519
01:26:32,400 --> 01:26:35,040
Speaker 1: as a joy and delight in that sweet little moment.

1520
01:26:35,680 --> 01:26:37,840
Speaker 1: You know, we wek You know a lot of people

1521
01:26:37,880 --> 01:26:39,960
Speaker 1: could use just a little more levity these days, but

1522
01:26:40,280 --> 01:26:43,840
Speaker 1: not on Canadian TV. There are news editorial state anyway,

1523
01:26:44,000 --> 01:26:47,400
Speaker 1: Chadwick who are making making the nonsensical make sense. That's

1524
01:26:47,439 --> 01:26:49,200
Speaker 1: what he does for us here in the Freedom Hut.

1525
01:26:49,280 --> 01:26:52,000
Speaker 1: Check out his columns at Spectator USA. Follow him at

1526
01:26:52,080 --> 01:26:55,120
Speaker 1: Chadwick Moore on Twitter. Mister Chadwick, my friend. Always a

1527
01:26:55,160 --> 01:27:02,000
Speaker 1: pleasure always a pleasure. Thanks again, you're in the Freedom Hid.

1528
01:27:02,479 --> 01:27:08,720
Speaker 1: This is the Buck Sexton Show podcast. What's going to

1529
01:27:08,800 --> 01:27:11,679
Speaker 1: happen in New Jersey if you can't get more federal dollars. Yeah.

1530
01:27:11,720 --> 01:27:13,880
Speaker 1: I haven't taken my cues ever from Rick Scott, so

1531
01:27:13,920 --> 01:27:16,160
Speaker 1: I won't start now. But I thought Kevin was reasonable.

1532
01:27:16,160 --> 01:27:18,400
Speaker 1: But on this one, I have to say I'm gonna

1533
01:27:18,520 --> 01:27:21,960
Speaker 1: I'm gonna say time out. This is not abstract. We

1534
01:27:21,960 --> 01:27:23,760
Speaker 1: don't need to do a data crunch. We don't do

1535
01:27:23,880 --> 01:27:26,720
Speaker 1: an analysis. We announced a budget on Friday for the

1536
01:27:26,760 --> 01:27:29,759
Speaker 1: next four months and we had to cut or defer

1537
01:27:29,880 --> 01:27:35,000
Speaker 1: over five billion dollars of expenditures. And this includes potentially

1538
01:27:35,120 --> 01:27:40,280
Speaker 1: laying off educators, firefighters, police ems, healthcare workers. This is

1539
01:27:40,320 --> 01:27:43,200
Speaker 1: not abstract. This is real. It's not a Blue state issue.

1540
01:27:43,439 --> 01:27:47,040
Speaker 1: It's an American issue. It's not a legacy. You guys

1541
01:27:47,120 --> 01:27:50,400
Speaker 1: didn't manage yourselves in the past. Better That has nothing

1542
01:27:50,439 --> 01:27:52,840
Speaker 1: to do with this. This is about keeping those front

1543
01:27:53,200 --> 01:27:58,000
Speaker 1: those varying frontline workers in their jobs, doing the heroic

1544
01:27:58,080 --> 01:28:01,599
Speaker 1: work they're doing at our of need in the biggest

1545
01:28:01,600 --> 01:28:04,439
Speaker 1: healthcare crisis in the history of our country, the biggest

1546
01:28:04,479 --> 01:28:07,040
Speaker 1: economic crisis of the history of our country. The last

1547
01:28:07,040 --> 01:28:09,120
Speaker 1: thing we need to do is to lay any of

1548
01:28:09,120 --> 01:28:12,440
Speaker 1: those folks off and increase the unemployment rate and underserve

1549
01:28:12,520 --> 01:28:15,240
Speaker 1: our residents. So we need it. And it's not just

1550
01:28:15,320 --> 01:28:18,559
Speaker 1: New Jersey. It's not just blue states. It's American states

1551
01:28:18,600 --> 01:28:21,559
Speaker 1: up and down the country. Government New Jersey, they're saying,

1552
01:28:21,640 --> 01:28:23,439
Speaker 1: you got to have a federal bailout for the states,

1553
01:28:23,479 --> 01:28:27,800
Speaker 1: for all these different states. Okay, well guess what here

1554
01:28:27,880 --> 01:28:30,879
Speaker 1: is the opening. Here is what we need to establish.

1555
01:28:30,960 --> 01:28:32,880
Speaker 1: As I've been telling you that the politics of this

1556
01:28:33,000 --> 01:28:35,320
Speaker 1: need to be taken into account because the left is

1557
01:28:35,320 --> 01:28:38,320
Speaker 1: playing politics with these shutdowns. They're taking too long, they're

1558
01:28:38,360 --> 01:28:40,400
Speaker 1: not looking at the data and the science as much

1559
01:28:40,400 --> 01:28:43,000
Speaker 1: as they pretend to. If you're going to get federal

1560
01:28:43,000 --> 01:28:45,240
Speaker 1: bailout dollars for your state, I think the federal government

1561
01:28:45,280 --> 01:28:48,240
Speaker 1: should say we expect that, you know, everyone will. And

1562
01:28:48,280 --> 01:28:49,680
Speaker 1: now I don't know if they're willing to do this.

1563
01:28:50,120 --> 01:28:52,240
Speaker 1: I know the CDC still has a little too much

1564
01:28:52,280 --> 01:28:54,320
Speaker 1: of a grip even on this White House. It worries

1565
01:28:54,360 --> 01:29:00,880
Speaker 1: me sometimes doctor Fauci. Everybody's listening to Fauci. Hey, you know,

1566
01:29:01,240 --> 01:29:03,080
Speaker 1: I think that we got to make sure the mitigation

1567
01:29:03,160 --> 01:29:07,120
Speaker 1: efforts are gonna be clear going forward. All right, you

1568
01:29:07,160 --> 01:29:09,559
Speaker 1: know we've we've heard it. We've heard enough of fauci,

1569
01:29:09,640 --> 01:29:11,560
Speaker 1: I gotta wash my hands. And other than that, we

1570
01:29:11,600 --> 01:29:13,760
Speaker 1: don't really know anything great or wear a mask now

1571
01:29:13,800 --> 01:29:17,160
Speaker 1: they weren't sure originally. Social distance. That's all we really know. Okay,

1572
01:29:17,960 --> 01:29:22,040
Speaker 1: maybe if you're gonna demand these bailouts from the federal government,

1573
01:29:22,120 --> 01:29:24,680
Speaker 1: federal government should should I'm not saying will step in

1574
01:29:24,680 --> 01:29:27,320
Speaker 1: and say everyone's open by fourth of July weekend, come

1575
01:29:27,360 --> 01:29:30,280
Speaker 1: hell or high water, that's what should happen. Everyone open

1576
01:29:30,760 --> 01:29:35,000
Speaker 1: back to normal. How about that? I think federal government's

1577
01:29:35,000 --> 01:29:37,280
Speaker 1: got a lot of leverage here, folks might as well

1578
01:29:37,360 --> 01:29:40,559
Speaker 1: use it somehow. Thanks for listening to The Bus Sesson

1579
01:29:40,640 --> 01:29:44,799
Speaker 1: Show podcasts. Remember to subscribe on Apple Podcasts, the iHeart

1580
01:29:44,880 --> 01:29:51,439
Speaker 1: Radio app, or wherever you get your podcasts. The show

1581
01:29:51,479 --> 01:29:59,880
Speaker 1: ain't over yet, folks. Keeping it real, it's time for

1582
01:30:00,160 --> 01:30:12,559
Speaker 1: roll call. I want to get to all of Team

1583
01:30:12,640 --> 01:30:14,800
Speaker 1: Bucks thoughts in the roll call, but I also want

1584
01:30:14,840 --> 01:30:17,719
Speaker 1: to ask our friend, the one or only producer, Mark,

1585
01:30:17,760 --> 01:30:20,679
Speaker 1: how his long weekend was, if he enjoyed watching any

1586
01:30:20,680 --> 01:30:24,920
Speaker 1: particular shows. If missus Mark aka Ariel, his wife made

1587
01:30:25,000 --> 01:30:27,920
Speaker 1: him any delicious treats or meals. Mark, what's going on? Man?

1588
01:30:27,920 --> 01:30:29,920
Speaker 1: How was it? Oh? It was a fine weekend. It

1589
01:30:30,000 --> 01:30:32,880
Speaker 1: was nice to have a little extra time away. Although

1590
01:30:33,360 --> 01:30:36,200
Speaker 1: I missed you dearly of course, Yes, well you really

1591
01:30:36,200 --> 01:30:37,600
Speaker 1: you missed the audience. You don't have to miss me,

1592
01:30:37,600 --> 01:30:39,240
Speaker 1: you know, I made Yeah, when I said you, I

1593
01:30:39,280 --> 01:30:42,680
Speaker 1: didn't mean you. Yeah, you collected you. I get it. Yeah.

1594
01:30:42,680 --> 01:30:47,200
Speaker 1: It was good, you know, relaxing when grocery shopping. Would

1595
01:30:47,240 --> 01:30:50,160
Speaker 1: you guys make? What did we make this weekend? We

1596
01:30:50,240 --> 01:30:54,280
Speaker 1: did taco nine one week one one day. She made

1597
01:30:54,360 --> 01:30:59,400
Speaker 1: chicken fried rice my wife did that was delicious, delicious. Yeah,

1598
01:30:59,479 --> 01:31:05,160
Speaker 1: that's pretty no, Princess and I made ginger sesame salmon

1599
01:31:05,280 --> 01:31:09,160
Speaker 1: filet's last night, which was really excellent and despite my

1600
01:31:09,240 --> 01:31:12,559
Speaker 1: efforts to try and cut back on the excess calorie.

1601
01:31:12,640 --> 01:31:16,519
Speaker 1: She also made her chocolate chip cookies gluten free, which

1602
01:31:16,520 --> 01:31:18,479
Speaker 1: are the best chocolate chip cookies I've ever had of

1603
01:31:18,520 --> 01:31:22,760
Speaker 1: any gluten status of any kind ever. So that that

1604
01:31:22,800 --> 01:31:24,519
Speaker 1: was pretty much the highlight of the weekend. Other than that,

1605
01:31:24,520 --> 01:31:26,280
Speaker 1: I don't even think what did I watch this weekend?

1606
01:31:26,479 --> 01:31:28,519
Speaker 1: We're watching a lot of billions these days. I love

1607
01:31:28,560 --> 01:31:31,320
Speaker 1: that show. You ever watch it? I've seen was that

1608
01:31:31,360 --> 01:31:36,320
Speaker 1: the one with the rock No, that's as Yeah. Also

1609
01:31:36,360 --> 01:31:38,640
Speaker 1: good show. Also good show, better than I thought it

1610
01:31:38,680 --> 01:31:41,160
Speaker 1: would be. Yeah. I watched the first season then I

1611
01:31:41,200 --> 01:31:43,120
Speaker 1: just kind of fizzled that on it. Yeah, that happens

1612
01:31:43,120 --> 01:31:44,439
Speaker 1: to me with the shows too. I gotta get back

1613
01:31:44,439 --> 01:31:46,080
Speaker 1: into the Americans. I kind of paused out of the

1614
01:31:46,120 --> 01:31:48,800
Speaker 1: Americans after two seasons. So that was that was pretty

1615
01:31:48,880 --> 01:31:50,720
Speaker 1: much it, and went for some long walks. It was

1616
01:31:50,800 --> 01:31:54,400
Speaker 1: seventy degrees yesterday, which was really nice outside. But man, everything,

1617
01:31:55,200 --> 01:31:58,439
Speaker 1: you know. One of my brothers went to try to

1618
01:31:58,479 --> 01:32:00,680
Speaker 1: go to Bear Mountain. You know that play across the

1619
01:32:00,760 --> 01:32:05,599
Speaker 1: Hudson State Park. Yes, and uh no, Dice cannot go.

1620
01:32:06,360 --> 01:32:10,519
Speaker 1: No luck lockdown because of too many people. They wouldn't

1621
01:32:10,560 --> 01:32:13,280
Speaker 1: let cars in because they were so packed. It's not

1622
01:32:13,280 --> 01:32:14,840
Speaker 1: exactly what you think of when you're talking about a

1623
01:32:14,840 --> 01:32:16,720
Speaker 1: trail walk, right, but no, there too many people on

1624
01:32:16,760 --> 01:32:19,080
Speaker 1: the trail. Yeah, they were doing that at beaches too,

1625
01:32:19,080 --> 01:32:21,679
Speaker 1: but I think that happens just even if they weren't

1626
01:32:21,720 --> 01:32:25,040
Speaker 1: doing reduced capacity. That would happen on Memorial Day weekend. Anyway.

1627
01:32:25,720 --> 01:32:27,760
Speaker 1: Maybe it beaches, but I feel like fair Mountain will,

1628
01:32:27,760 --> 01:32:30,400
Speaker 1: I guess anyway. Also, I don't like I don't like

1629
01:32:30,439 --> 01:32:31,640
Speaker 1: to be in places like that when there are too

1630
01:32:31,680 --> 01:32:35,400
Speaker 1: many people. So anyway, it is what it is. So

1631
01:32:35,720 --> 01:32:37,439
Speaker 1: I'm glad. You're glad you're ready and back in the fight.

1632
01:32:37,560 --> 01:32:39,599
Speaker 1: We got a busy week this week, Producer Mark, So

1633
01:32:39,840 --> 01:32:42,280
Speaker 1: bring your a game. Every week is a busy week, Buck,

1634
01:32:42,400 --> 01:32:45,439
Speaker 1: That's true, all right. Roll call Facebook dot com slash

1635
01:32:45,479 --> 01:32:47,080
Speaker 1: Buck Sexton if you want to be a part of it,

1636
01:32:47,240 --> 01:32:50,400
Speaker 1: or you can email us and brucer Mark will sift

1637
01:32:50,439 --> 01:32:55,600
Speaker 1: through and pick some of the most most insightful, pithy, eloquent,

1638
01:32:56,280 --> 01:33:01,000
Speaker 1: hilarious emails you send in Team Buck at ihard media

1639
01:33:01,200 --> 01:33:05,799
Speaker 1: dot com. And if you email in with the subject

1640
01:33:05,840 --> 01:33:08,920
Speaker 1: line producer Mark is the sexiest man alive, there's a

1641
01:33:09,000 --> 01:33:11,479
Speaker 1: decent chance that you, in fact, that that email will

1642
01:33:11,479 --> 01:33:13,679
Speaker 1: make its way. I'll probably just laugh at you because

1643
01:33:13,680 --> 01:33:16,400
Speaker 1: that's not true. Well, I'm just saying there's a good

1644
01:33:16,479 --> 01:33:19,519
Speaker 1: good shot it gets in the pile. Brad kicks us

1645
01:33:19,520 --> 01:33:22,120
Speaker 1: off here, Dear Buck. I wrote about a month ago

1646
01:33:22,160 --> 01:33:24,360
Speaker 1: on the status of Alaska during this pandemic, so I

1647
01:33:24,400 --> 01:33:26,920
Speaker 1: thought i'd write back with an update. As of this

1648
01:33:27,040 --> 01:33:30,400
Speaker 1: coming Friday, the state of Alaska is open for business.

1649
01:33:30,880 --> 01:33:32,840
Speaker 1: The Mayor of Anchorage has decided to take a little

1650
01:33:32,840 --> 01:33:37,240
Speaker 1: more conservative approach, but bars, restaurants, churches, libraries, and museums

1651
01:33:37,280 --> 01:33:40,240
Speaker 1: are allowed to operate at one hundred percent per the

1652
01:33:40,280 --> 01:33:44,519
Speaker 1: Governor's office. As for COVID nineteen status, Alaska just went

1653
01:33:44,560 --> 01:33:47,519
Speaker 1: over the four hundred mark for positive cases and has

1654
01:33:47,560 --> 01:33:50,639
Speaker 1: held at ten fatality since May sixth. It's not hard

1655
01:33:50,640 --> 01:33:52,879
Speaker 1: to tell that things are getting back to some semblance

1656
01:33:52,880 --> 01:33:56,759
Speaker 1: of normalcy just by viewing the traffic on the highways shields. Ye. Well, Brad,

1657
01:33:57,400 --> 01:34:01,080
Speaker 1: God bless and I'm so glad that I'll Alaska a

1658
01:34:01,680 --> 01:34:03,679
Speaker 1: beautiful state. I mean really one of the most parts

1659
01:34:03,720 --> 01:34:06,400
Speaker 1: of Alaska, some of the most gorgeous places I've ever seen.

1660
01:34:06,720 --> 01:34:09,240
Speaker 1: The natural beauty in Alaska is up there with anything

1661
01:34:09,240 --> 01:34:12,679
Speaker 1: you can find anywhere in the world. But I'm glad

1662
01:34:12,680 --> 01:34:14,680
Speaker 1: that Alaska's back in action. You can get yourself a

1663
01:34:14,680 --> 01:34:17,160
Speaker 1: good steak or burger, you know, and not have to

1664
01:34:17,200 --> 01:34:19,120
Speaker 1: go through all this nonsense. It's amazing when you think

1665
01:34:19,120 --> 01:34:21,800
Speaker 1: about that the whole state was shut down and only

1666
01:34:22,040 --> 01:34:26,679
Speaker 1: ten fatalities since May sixth. You know, I don't say

1667
01:34:26,720 --> 01:34:29,320
Speaker 1: this to be to be glib, but I'd be willing

1668
01:34:29,360 --> 01:34:32,360
Speaker 1: to bet that more people have died from falling downstairs

1669
01:34:32,439 --> 01:34:35,559
Speaker 1: or falling in the you know, falling in the shower

1670
01:34:36,479 --> 01:34:40,120
Speaker 1: since May sixth than have died from COVID nineteen. In fact,

1671
01:34:40,240 --> 01:34:43,519
Speaker 1: I think that's probably a pretty safe from accidents. I've

1672
01:34:43,520 --> 01:34:45,120
Speaker 1: got more people have died in the month of May

1673
01:34:45,120 --> 01:34:49,599
Speaker 1: in Alaska from accidents than have died from COVID nineteen.

1674
01:34:49,600 --> 01:34:52,599
Speaker 1: Although maybe we could not include some of the deep

1675
01:34:52,640 --> 01:34:55,080
Speaker 1: sea fishing stuff like from that show, because that stuff

1676
01:34:55,120 --> 01:34:59,200
Speaker 1: looks terrifying. I don't know how people do that. Yeah,

1677
01:34:59,320 --> 01:35:01,599
Speaker 1: you know, you know, the like the crab fisherman guys

1678
01:35:01,600 --> 01:35:04,080
Speaker 1: and all that stuff that they do. I've seen that

1679
01:35:03,920 --> 01:35:06,439
Speaker 1: that looks dangerous, how Yeah, because that's what I mean.

1680
01:35:06,560 --> 01:35:09,400
Speaker 1: That stuff does look dangerous. That does look looks intense.

1681
01:35:10,920 --> 01:35:13,280
Speaker 1: How much money producer Mark I have to pay you

1682
01:35:13,400 --> 01:35:15,280
Speaker 1: to spend I think they spend like six to eight

1683
01:35:15,280 --> 01:35:17,880
Speaker 1: weeks on some of those some of those ships, let's

1684
01:35:17,880 --> 01:35:21,200
Speaker 1: say eight weeks on a crab boat off the you know,

1685
01:35:21,240 --> 01:35:25,080
Speaker 1: in the Bearing Sea. How much money really? Am I

1686
01:35:25,200 --> 01:35:28,439
Speaker 1: just on the boat or am I know you're on

1687
01:35:28,479 --> 01:35:31,599
Speaker 1: the deck, You're you're you're you're you're hocking crabs over

1688
01:35:31,640 --> 01:35:33,720
Speaker 1: the side, you're doing the whole thing. Oh, there's got

1689
01:35:33,720 --> 01:35:36,160
Speaker 1: to be at least seven figures in that bo that's right.

1690
01:35:36,400 --> 01:35:39,919
Speaker 1: Seven Except for me, it's a solid seven figures, solid

1691
01:35:40,680 --> 01:35:44,479
Speaker 1: probably we're talking like like MLP NBA player for a

1692
01:35:44,520 --> 01:35:46,160
Speaker 1: season kind of money for me to do that. No,

1693
01:35:46,360 --> 01:35:47,720
Speaker 1: So the guys who do it, I know, they get

1694
01:35:47,720 --> 01:35:50,360
Speaker 1: well paid. They make six figures, some of them, I believe,

1695
01:35:50,439 --> 01:35:52,479
Speaker 1: for that eight week hall, which is obviously really really

1696
01:35:52,560 --> 01:35:55,680
Speaker 1: good money. But they are in every they are in

1697
01:35:55,720 --> 01:35:57,479
Speaker 1: every petty man. I watched those shows and I'm like,

1698
01:35:57,520 --> 01:36:00,479
Speaker 1: oh gosh, you know, I sit there, I'm like eating

1699
01:36:00,479 --> 01:36:03,879
Speaker 1: my my warm chicken nuggets and and you know, drinking

1700
01:36:03,920 --> 01:36:06,080
Speaker 1: my ginger ale or whatever, and I'm watching these guy

1701
01:36:06,560 --> 01:36:09,479
Speaker 1: in my cupboard, in my snuggie, and I'm watching these

1702
01:36:09,520 --> 01:36:11,679
Speaker 1: guys out there in Alaska, you know, with these big

1703
01:36:12,120 --> 01:36:16,240
Speaker 1: crab pots or whatever, like, oh, looks cold, guys, looks cold.

1704
01:36:16,240 --> 01:36:18,320
Speaker 1: I don't know, it looks like we actually have a snuggie.

1705
01:36:19,479 --> 01:36:22,400
Speaker 1: I mean, I've got a I've got a blanket that

1706
01:36:22,520 --> 01:36:25,920
Speaker 1: functions like a snuggie. So you have a snuggie. No, no, no,

1707
01:36:26,000 --> 01:36:28,160
Speaker 1: it's it's not technically a snuggie, but it looks like

1708
01:36:28,160 --> 01:36:31,120
Speaker 1: a snugget. I mean, doesn't have armholes. No, no, I

1709
01:36:31,200 --> 01:36:32,519
Speaker 1: have to make the arm hole. So I guess it's

1710
01:36:32,520 --> 01:36:35,000
Speaker 1: just a blanket. But you know what I mean, Yeah,

1711
01:36:35,000 --> 01:36:39,280
Speaker 1: a normal thing, Sheldon Buck, Is it possibly for your

1712
01:36:39,400 --> 01:36:41,200
Speaker 1: Is it possible for your head to get any bigger?

1713
01:36:41,600 --> 01:36:43,400
Speaker 1: Asked to have a personal meeting with the leader of

1714
01:36:43,400 --> 01:36:46,439
Speaker 1: the free world? All joking aside, congratulations, I'm glad to

1715
01:36:46,439 --> 01:36:48,640
Speaker 1: see the President recognizes one of the bright minds in

1716
01:36:48,720 --> 01:36:52,240
Speaker 1: all of media, a well earned recognition. So when you're

1717
01:36:52,280 --> 01:36:54,759
Speaker 1: getting so, when are you getting your Presidential Medal of Freedom?

1718
01:36:55,000 --> 01:36:57,600
Speaker 1: Quick change of subject. I see all these protests and

1719
01:36:57,680 --> 01:37:01,000
Speaker 1: lawsuits in blue states to open up the account. Where

1720
01:37:01,000 --> 01:37:03,320
Speaker 1: are all the protests and lawsuits in red states to

1721
01:37:03,360 --> 01:37:06,479
Speaker 1: maintain the lockdown? If they think it's so important. Only

1722
01:37:06,520 --> 01:37:08,599
Speaker 1: places I see that argument is in the media, not

1723
01:37:08,680 --> 01:37:12,720
Speaker 1: from the citizens in these red states. Thanks. Uh, yeah, well,

1724
01:37:12,760 --> 01:37:14,720
Speaker 1: I think that they also would figure that in red

1725
01:37:14,760 --> 01:37:19,559
Speaker 1: states the judiciary is less likely to be activist with,

1726
01:37:19,840 --> 01:37:23,880
Speaker 1: you know, toward left wing ends. So that's what that's

1727
01:37:23,880 --> 01:37:26,479
Speaker 1: what I think you're that's probably a part of the

1728
01:37:26,560 --> 01:37:30,599
Speaker 1: dynamic that you're establishing here that you're you're talking about. Yeah,

1729
01:37:30,640 --> 01:37:32,559
Speaker 1: I mean blue states, Look, they should be open. This

1730
01:37:32,640 --> 01:37:36,000
Speaker 1: is wrong, very interesting you know today. Maybe I'll get

1731
01:37:36,000 --> 01:37:38,800
Speaker 1: into more of this tomorrow. But there was all this

1732
01:37:38,880 --> 01:37:41,519
Speaker 1: debate over oh Sweden, did Sweden do the right thing?

1733
01:37:41,560 --> 01:37:44,200
Speaker 1: That Sweden do the wrong thing? And people argue about

1734
01:37:44,200 --> 01:37:45,960
Speaker 1: this still. I mean, I think Sweden definitely did the

1735
01:37:46,040 --> 01:37:48,960
Speaker 1: right thing, even though there's been even as of last week,

1736
01:37:49,000 --> 01:37:51,599
Speaker 1: people are saying, oh, but they're per capita deaths. The

1737
01:37:51,600 --> 01:37:56,080
Speaker 1: health chief of Norway has said they could have can

1738
01:37:56,160 --> 01:38:01,680
Speaker 1: quote control infection without lockdown. This scientific backing for lockdown

1739
01:38:01,800 --> 01:38:05,040
Speaker 1: was not good enough, and Norway we went into lockdown.

1740
01:38:05,080 --> 01:38:07,000
Speaker 1: But the health chief is now saying, yeah, and we

1741
01:38:07,040 --> 01:38:10,759
Speaker 1: didn't have to do that. Someone someone paying her off?

1742
01:38:11,400 --> 01:38:13,840
Speaker 1: Is that a right wing conspiracy in Norway? The Health

1743
01:38:13,920 --> 01:38:15,880
Speaker 1: chief of Norway is now saying, and they had very

1744
01:38:16,000 --> 01:38:20,559
Speaker 1: very very few debts you know per capita from COVID nineteen,

1745
01:38:21,280 --> 01:38:23,320
Speaker 1: but they're saying that, you know, lockdown was not the

1746
01:38:23,360 --> 01:38:26,720
Speaker 1: way to go. Oh you mean that people now looking

1747
01:38:26,720 --> 01:38:29,120
Speaker 1: at the evidence who are experts, are coming to that conclusion.

1748
01:38:29,240 --> 01:38:32,080
Speaker 1: You'll never how think about what Fauci would have to say,

1749
01:38:32,479 --> 01:38:35,400
Speaker 1: what he'd have to admit. Yeah, we push for lockdowns

1750
01:38:35,760 --> 01:38:39,960
Speaker 1: which weren't necessary, which through thirty million plus people on

1751
01:38:40,560 --> 01:38:44,120
Speaker 1: out of their jobs, cost the economy trillions of dollars,

1752
01:38:44,560 --> 01:38:47,720
Speaker 1: and also put us all through hell being locked in

1753
01:38:47,800 --> 01:38:50,800
Speaker 1: our homes, not you know, wondering when we're able to

1754
01:38:50,800 --> 01:38:53,120
Speaker 1: see our relatives again, wondering what our future looks like.

1755
01:38:53,160 --> 01:38:54,880
Speaker 1: Are we going to have a future as a country,

1756
01:38:54,920 --> 01:38:59,000
Speaker 1: as an individual? Put us through all that, and now

1757
01:38:59,040 --> 01:39:03,599
Speaker 1: it seems like with very very weak backing and week

1758
01:39:03,680 --> 01:39:07,640
Speaker 1: maybe generous, he's never gonna no one whatever. Look, I

1759
01:39:07,800 --> 01:39:10,040
Speaker 1: actually don't blame him for this, no one whatever. Who's

1760
01:39:10,080 --> 01:39:12,439
Speaker 1: in that position that say, you know, we we took

1761
01:39:12,479 --> 01:39:16,320
Speaker 1: the mitigation, we had to do in the mitigation, so

1762
01:39:17,360 --> 01:39:21,280
Speaker 1: you know, this is the virus. It's spread, so we

1763
01:39:21,320 --> 01:39:27,719
Speaker 1: wanted to undo the spread. That's what you got, Michael Buck.

1764
01:39:28,280 --> 01:39:30,519
Speaker 1: So cool to hear you got called in by the

1765
01:39:30,560 --> 01:39:33,519
Speaker 1: big man. Feels like a close friend being recognized for

1766
01:39:33,560 --> 01:39:35,519
Speaker 1: his talents in the midst of tough times. It feels

1767
01:39:35,520 --> 01:39:36,760
Speaker 1: good to hear some of the big wins for the

1768
01:39:36,800 --> 01:39:40,040
Speaker 1: freedom hut shields high. Well, Michael, thank you so much. Yeah,

1769
01:39:40,120 --> 01:39:42,360
Speaker 1: I look, it was. It was really appreciated by me.

1770
01:39:42,439 --> 01:39:44,320
Speaker 1: I was great to get a chance to sit down

1771
01:39:44,320 --> 01:39:47,439
Speaker 1: to the present for that long and really enjoyed talking

1772
01:39:47,479 --> 01:39:52,639
Speaker 1: to him. John, one of my local supermarkets doesn't carry

1773
01:39:52,640 --> 01:39:55,479
Speaker 1: strawberry ice cream, so I need to travel further to

1774
01:39:55,520 --> 01:39:58,559
Speaker 1: get it, or during the pandemic switching another brand. Is

1775
01:39:58,560 --> 01:40:02,000
Speaker 1: this a conspiracy between in the illuminati? No, John, this

1776
01:40:02,080 --> 01:40:04,720
Speaker 1: is just the free market telling you that strawberry ice

1777
01:40:04,720 --> 01:40:10,840
Speaker 1: cream is the ice cream flavor that does not need

1778
01:40:10,880 --> 01:40:15,439
Speaker 1: to exist. Okay, you know, strawberry ice cream is like

1779
01:40:15,640 --> 01:40:18,400
Speaker 1: the Rhode Island of ice creams. Why isn't Rhode Island

1780
01:40:18,400 --> 01:40:20,800
Speaker 1: just a part of Connecticut or Massachusetts? I ask you.

1781
01:40:21,000 --> 01:40:23,200
Speaker 1: No one has a really good answer for that, do they.

1782
01:40:23,920 --> 01:40:28,080
Speaker 1: You know, maybe a strawberry swirl in chocolate or vanilla

1783
01:40:28,280 --> 01:40:33,400
Speaker 1: would make sense, but entirely strawberry flavored ice cream. We're

1784
01:40:33,439 --> 01:40:36,400
Speaker 1: civilized people. We don't need such things. So I'm sorry, John,

1785
01:40:36,400 --> 01:40:40,600
Speaker 1: you're on your own with this one. You're in the

1786
01:40:40,720 --> 01:40:44,160
Speaker 1: freedom hunt. This is the Buck Sex and Show podcast.

1787
01:40:47,840 --> 01:40:51,640
Speaker 1: All right, roll call continuing here, we have Dave or

1788
01:40:51,720 --> 01:40:54,200
Speaker 1: rights in. Congrats on the one on one chat with

1789
01:40:54,240 --> 01:40:57,880
Speaker 1: the President obvious he chooses to surround himself with thoughtful,

1790
01:40:57,960 --> 01:41:02,120
Speaker 1: upstanding people. It's a shame he is unfairly smeared. And

1791
01:41:02,240 --> 01:41:04,080
Speaker 1: more people took the time to listen to voices like

1792
01:41:04,200 --> 01:41:07,200
Speaker 1: yours and your listeners, this would be a much more

1793
01:41:07,479 --> 01:41:10,479
Speaker 1: unified country. As an early listener, I'm always happy to

1794
01:41:10,520 --> 01:41:12,760
Speaker 1: follow your progress and success. It's a reminder that good

1795
01:41:12,760 --> 01:41:15,240
Speaker 1: things happen to good people who work hard. That's what

1796
01:41:15,280 --> 01:41:17,400
Speaker 1: this country needs. Keep up the good work as usual.

1797
01:41:17,479 --> 01:41:19,600
Speaker 1: Thank you so much, Dave. I really do appreciate that.

1798
01:41:19,600 --> 01:41:21,599
Speaker 1: That's very kind. It's like the nicest thing anyone said

1799
01:41:21,600 --> 01:41:23,720
Speaker 1: all day today, so or I will hear all day

1800
01:41:23,800 --> 01:41:27,360
Speaker 1: so really really a kind of you. And yeah, we

1801
01:41:28,439 --> 01:41:30,920
Speaker 1: Mark and I. It is not an exaggeration to say

1802
01:41:30,920 --> 01:41:33,200
Speaker 1: we bust our butts to do this show every day

1803
01:41:33,280 --> 01:41:35,519
Speaker 1: and have it at the quality that it is, and

1804
01:41:35,560 --> 01:41:38,080
Speaker 1: we're very pleased that it's It's reflected in the growth

1805
01:41:38,160 --> 01:41:40,320
Speaker 1: of the show and the ratings and in so many

1806
01:41:41,560 --> 01:41:44,760
Speaker 1: new big markets in the last year to eighteen months

1807
01:41:44,760 --> 01:41:47,160
Speaker 1: that have picked us up. You know, we're We've got

1808
01:41:47,280 --> 01:41:53,400
Speaker 1: great stations in San Diego and in Baltimore and in Austin, Texas.

1809
01:41:53,439 --> 01:41:56,680
Speaker 1: And in Denver, Colorado, and out in Portland, Oregon, and

1810
01:41:57,520 --> 01:42:01,799
Speaker 1: in Sacramento, California KSTE. And we've got all these different

1811
01:42:01,840 --> 01:42:04,200
Speaker 1: stations that have either joined on or some of them

1812
01:42:04,200 --> 01:42:07,080
Speaker 1: been with us for a while now. And we're very fortunate.

1813
01:42:07,120 --> 01:42:08,479
Speaker 1: We're very lucky, but we know we got to put

1814
01:42:08,479 --> 01:42:12,839
Speaker 1: in the work every day. James h Let's see James

1815
01:42:12,960 --> 01:42:16,160
Speaker 1: great first name Buck, the Michigan governor is starting to

1816
01:42:16,200 --> 01:42:19,200
Speaker 1: remind me of the lady who is a teacher in

1817
01:42:19,360 --> 01:42:21,880
Speaker 1: Pink in the Harry Potter movie Harry Potter Movie with

1818
01:42:21,920 --> 01:42:26,519
Speaker 1: the Pink Cats. She is a witch. She said she

1819
01:42:26,680 --> 01:42:29,000
Speaker 1: is going to find the foreign plant in her state

1820
01:42:29,040 --> 01:42:32,360
Speaker 1: for social distancing violation when the president was there for

1821
01:42:32,520 --> 01:42:34,479
Speaker 1: not wearing his face mask the whole time. Shields high

1822
01:42:34,520 --> 01:42:36,559
Speaker 1: from w g Y. Look at that soon. By the way,

1823
01:42:36,560 --> 01:42:39,360
Speaker 1: if you listen on one of our affiliates, police, always

1824
01:42:39,360 --> 01:42:40,960
Speaker 1: feel free to put in your affiliates. We can give

1825
01:42:40,960 --> 01:42:43,160
Speaker 1: a little shout out to them on the air. W

1826
01:42:43,280 --> 01:42:49,400
Speaker 1: G Y Albany a great station. And James, I would say,

1827
01:42:49,920 --> 01:42:53,200
Speaker 1: I do not know the Harry Potter stuff. So prouser Mark,

1828
01:42:53,280 --> 01:42:55,160
Speaker 1: do you get do you catch this reference? Yes, that

1829
01:42:55,200 --> 01:42:58,360
Speaker 1: would be a professor Umbridge from I believe Harry Potter

1830
01:42:58,400 --> 01:43:01,680
Speaker 1: book number five, The Chamber of Secret. There we go.

1831
01:43:01,960 --> 01:43:04,559
Speaker 1: He's ready to go with it. Yeah. I still have

1832
01:43:04,560 --> 01:43:06,080
Speaker 1: people who try to convince me that I should read

1833
01:43:06,080 --> 01:43:07,960
Speaker 1: the Harry Potter books, even at this point in life.

1834
01:43:08,040 --> 01:43:11,000
Speaker 1: That's so good you should. Yeah. See, Producer Mark is

1835
01:43:11,040 --> 01:43:13,880
Speaker 1: one of them. Maybe I'll have to do it. Brad

1836
01:43:14,360 --> 01:43:17,759
Speaker 1: Hey Buck, I'm behind enemy lines in California and thinking

1837
01:43:17,760 --> 01:43:21,120
Speaker 1: about moving. They have shut down all state parks, no

1838
01:43:21,280 --> 01:43:24,240
Speaker 1: camping or beaches until late June, and it keeps getting

1839
01:43:24,240 --> 01:43:28,240
Speaker 1: pushed out. Also, our schools have been out since this

1840
01:43:28,320 --> 01:43:31,160
Speaker 1: all started, and my third grader has had minimal contact

1841
01:43:31,200 --> 01:43:33,599
Speaker 1: with her teacher. As a school fears they will lose

1842
01:43:33,720 --> 01:43:37,120
Speaker 1: funding if they teach outside of the guidelines. Now, with

1843
01:43:37,200 --> 01:43:39,800
Speaker 1: all the new CDC policies, the return in the fall

1844
01:43:39,920 --> 01:43:42,280
Speaker 1: is proposed to have two days a week at school

1845
01:43:42,640 --> 01:43:46,800
Speaker 1: and three days at home remote learning. Huh. My wife

1846
01:43:46,800 --> 01:43:48,439
Speaker 1: and I both work, and I've been out of work

1847
01:43:48,439 --> 01:43:51,160
Speaker 1: since March twelfth. If our kids don't go to school

1848
01:43:51,200 --> 01:43:53,439
Speaker 1: five days a week, we will be forced to pay

1849
01:43:53,479 --> 01:43:55,639
Speaker 1: for daycare of some sort, and we'll have to do

1850
01:43:55,720 --> 01:43:58,559
Speaker 1: the teacher's job after we get off work. Red States

1851
01:43:58,560 --> 01:44:01,640
Speaker 1: are looking more attractive by the day. Brad. Look, I

1852
01:44:02,479 --> 01:44:06,759
Speaker 1: was taking a peek over the weekend at just just

1853
01:44:06,760 --> 01:44:09,559
Speaker 1: just curious, just checking it out. I was looking at, Uh,

1854
01:44:10,360 --> 01:44:13,280
Speaker 1: what does what does a nice little you know, start

1855
01:44:13,280 --> 01:44:15,920
Speaker 1: our home go for in Austin, Texas these days? What

1856
01:44:16,040 --> 01:44:20,400
Speaker 1: does a nice little little place with some land in Charleston,

1857
01:44:20,760 --> 01:44:24,040
Speaker 1: South Carolina, or in Savannah, Georgia. What does it look

1858
01:44:24,080 --> 01:44:26,000
Speaker 1: like right now? Well? What kind of costs were talking

1859
01:44:26,040 --> 01:44:28,280
Speaker 1: about here? So I don't think you're alone, my friend.

1860
01:44:28,479 --> 01:44:31,559
Speaker 1: I'm here in New York, a lifelong New Yorker, and

1861
01:44:31,720 --> 01:44:34,439
Speaker 1: I've loved this place, even for all of its challenges

1862
01:44:34,479 --> 01:44:37,640
Speaker 1: and expense. But I think that this has pushed a

1863
01:44:37,640 --> 01:44:41,240
Speaker 1: lot of people too far in New York and in California,

1864
01:44:41,240 --> 01:44:42,720
Speaker 1: and now I always have to throw in Florida too,

1865
01:44:42,760 --> 01:44:45,000
Speaker 1: because I promised Producer Mark to Florida will be something

1866
01:44:45,040 --> 01:44:47,439
Speaker 1: we consider, you know. I just some of the Florida

1867
01:44:47,560 --> 01:44:49,840
Speaker 1: architecture is not as much my thing. That's that's the

1868
01:44:49,840 --> 01:44:52,640
Speaker 1: problem I have, Producer Mark. I get it. I just

1869
01:44:53,040 --> 01:44:56,240
Speaker 1: I like nice weather and no income tax. I can't

1870
01:44:56,280 --> 01:44:58,920
Speaker 1: argue with that. I can't argue with that. But you

1871
01:44:58,960 --> 01:45:01,479
Speaker 1: know a lot of red tiled loors in Florida, which

1872
01:45:01,720 --> 01:45:05,280
Speaker 1: is okay, I mean nothing you can change. Fuck, that's

1873
01:45:05,320 --> 01:45:09,840
Speaker 1: that's probably yeah, yeah, that's probably fair. I have to

1874
01:45:09,880 --> 01:45:12,000
Speaker 1: also become like a if I was close enough to

1875
01:45:12,040 --> 01:45:13,960
Speaker 1: the water. I like swimming at the beach, but I

1876
01:45:14,040 --> 01:45:17,160
Speaker 1: might have to become a boat guy too. That doesn't

1877
01:45:17,160 --> 01:45:19,519
Speaker 1: sound like a bad thing, Yeah no, but it would

1878
01:45:19,520 --> 01:45:21,280
Speaker 1: be fun. I always remember when when they went out

1879
01:45:21,280 --> 01:45:24,360
Speaker 1: the Marco Rubio from you know, for his boat. That

1880
01:45:24,520 --> 01:45:26,800
Speaker 1: was like he was living some lavish lifestyle or whatever,

1881
01:45:26,840 --> 01:45:28,600
Speaker 1: and I was just like, you're in Florida, man, you

1882
01:45:28,680 --> 01:45:31,040
Speaker 1: might as well get a boat of some kind. Even

1883
01:45:31,040 --> 01:45:33,200
Speaker 1: if it's a canoe or a kayak. You gotta get

1884
01:45:33,240 --> 01:45:37,080
Speaker 1: a boat. Bobby Buck, I got a question for you.

1885
01:45:37,320 --> 01:45:39,760
Speaker 1: Did your brothers start the gluten free Bread Company as

1886
01:45:39,760 --> 01:45:41,679
Speaker 1: a result of you having to deal with gluten free

1887
01:45:41,680 --> 01:45:43,920
Speaker 1: products or is it just a coincidence? That would be

1888
01:45:43,960 --> 01:45:46,439
Speaker 1: good brotherly love. Anyway. I listened to the show daily.

1889
01:45:46,479 --> 01:45:48,759
Speaker 1: I consider myself a team member, Bobby. You most certainly

1890
01:45:48,760 --> 01:45:50,880
Speaker 1: are a part of Team Buck. Tell producer Mark to

1891
01:45:50,920 --> 01:45:53,920
Speaker 1: smile for us. Oh, he smiles. Don't worry he's fine.

1892
01:45:53,960 --> 01:45:56,240
Speaker 1: He's having fees, having fun, don't du non't never worry

1893
01:45:56,240 --> 01:45:59,240
Speaker 1: about producer Mark. He's good. Um. As for my brother,

1894
01:46:00,520 --> 01:46:03,679
Speaker 1: he know he was gluten free before I was, so

1895
01:46:04,040 --> 01:46:06,519
Speaker 1: I thought that gluten free, quite honestly, was kind of

1896
01:46:06,520 --> 01:46:11,120
Speaker 1: a fad, a trend, and then he was a believer

1897
01:46:11,240 --> 01:46:14,320
Speaker 1: in it for just health purposes. And I'm not gonna

1898
01:46:14,320 --> 01:46:15,600
Speaker 1: lie to you, guys, I kind of made fun of

1899
01:46:15,640 --> 01:46:17,280
Speaker 1: him a little bit sometimes for it. I was like, oh,

1900
01:46:17,360 --> 01:46:20,000
Speaker 1: gluten free, why don't you move to la and get

1901
01:46:20,000 --> 01:46:22,639
Speaker 1: a pet therapist and drink wheat grass shots all day?

1902
01:46:23,200 --> 01:46:26,280
Speaker 1: And then I got diagnosed with Celiac disease maybe about

1903
01:46:26,920 --> 01:46:32,280
Speaker 1: two years later. So coincidence or cosmic fade or something.

1904
01:46:32,320 --> 01:46:34,200
Speaker 1: I don't know, you guys tell me, but yeah, I

1905
01:46:34,200 --> 01:46:36,479
Speaker 1: know he was gluten free first. And the product line

1906
01:46:36,520 --> 01:46:39,160
Speaker 1: is called Suzies. It's s O o z y and

1907
01:46:39,240 --> 01:46:41,120
Speaker 1: the stuff is I mean, they've got bread now and

1908
01:46:41,160 --> 01:46:43,360
Speaker 1: whole foods of foods. It's amazing. I mean, the donuts,

1909
01:46:43,360 --> 01:46:45,760
Speaker 1: the muffins, really high quality stuff. I love it. I

1910
01:46:45,800 --> 01:46:47,280
Speaker 1: mean I eat it every morning. And again it's my

1911
01:46:47,320 --> 01:46:49,880
Speaker 1: brother's company, so it's delicious and I get to support

1912
01:46:49,880 --> 01:46:52,519
Speaker 1: a family member that's gonna be the show for today. Team,

1913
01:46:52,640 --> 01:46:55,040
Speaker 1: Please do pass the buck also got a buck sexton

1914
01:46:55,120 --> 01:46:57,720
Speaker 1: dot Com our websites see our stories posted throughout the

1915
01:46:57,800 --> 01:47:00,080
Speaker 1: day Back Tomorrow shields not