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Speaker 1: You are entering the freedom hunt. Twenty states are ready

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Speaker 1: to reopen. Does hydroxy chloroquan work? A new study out

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Speaker 1: the cast, some doubts will get in the latest with that,

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Speaker 1: plus a mother arrested for letting her kids play in

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Speaker 1: a park, The un is warning that famines are coming

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Speaker 1: around the globe, what to do about the second wave

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Speaker 1: of infection that could happen? And the war in election safeguards?

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Speaker 1: Guess who's waging it? The left? That and more coming up.

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Speaker 1: This is the Buck Sexton Show, where the mission or

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Speaker 1: mission is to decode what really matters with actionable intelligence.

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Speaker 1: Make no mistake America. Here a great American again, The

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Speaker 1: Buck Sexton Show begins. Analyst, he's a great guy. Now,

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Speaker 1: twenty states, representing forty percent of the US population, have

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Speaker 1: announced it. They are making plans and preparations to safely

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Speaker 1: restart their economies in the very near future. So that's

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Speaker 1: twenty states. It's about forty percent of our country. They're

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Speaker 1: moving along pretty quickly. Three announced today, as you know,

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Speaker 1: and they're going to be doing it safely. They're going

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Speaker 1: to be doing it with tremendous passion. They want to

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Speaker 1: get back to work. The country wants to get back

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Speaker 1: to work. Welcome to the buck Sex and show everyone

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Speaker 1: the President expressing the sentiment that so many of us

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Speaker 1: have that we do want the country to get back

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Speaker 1: to work. We all want to be able to get

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Speaker 1: back to work. They're varying degrees we're able to continue

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Speaker 1: or not, but we need America to be doing what

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Speaker 1: we need to do. Once again, we have given weeks

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Speaker 1: and weeks of our lives to this lockdown effort, a

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Speaker 1: lockdown effort that still has i would say questionable, questionable

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Speaker 1: data to support that the full lockdown was necessary. I'm

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Speaker 1: not gonna say it was wrong. I'm just saying it's

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Speaker 1: questionable and in some places, and if you look at

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Speaker 1: it state by state, you see one part of the

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Speaker 1: issue is that if you take it all as a

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Speaker 1: national lockdown, yes or no, well, then you're gonna you're

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Speaker 1: gonna edge closer toward well, I guess we have to

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Speaker 1: be more cautious and go to the national lockdown. If

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Speaker 1: you do the state by state, there are some states

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Speaker 1: that quite clearly did not need to have a cessation

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Speaker 1: of business like other states did. There's that's just at

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Speaker 1: this point, I don't know how you can justify telling

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Speaker 1: tens of millions of people in certain states that because

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Speaker 1: there are there have been a few thousand infections that

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Speaker 1: are established, and we got to talk more about the

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Speaker 1: urology testing situation today. But a few thousand tests or

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Speaker 1: five thousand, ten thousand, you're going to shut down all

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Speaker 1: business and social social distancing. The mitigation measures that are

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Speaker 1: in place, they seem to be they seem to be working,

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Speaker 1: so that's been positive. But we can continue those. We

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Speaker 1: can continue those even as we try to engage in

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Speaker 1: more normal lives. You know, the debate here is still

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Speaker 1: not go back to full on normal. No one thinks

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Speaker 1: that we're gonna be able to flip the switch and

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Speaker 1: everything's going to be the way that it was before

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Speaker 1: all of this happened. But we're never going to get

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Speaker 1: there if we wait for the risk to be zero.

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Speaker 1: And I think that's the change in consciousness that's happened

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Speaker 1: at this point. I think that's where people have finally

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Speaker 1: started to see a shift in their thinking. Some of

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Speaker 1: us have been worried about this all along. I mean,

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Speaker 1: I've been concerned about this, trying to raise those concerns

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Speaker 1: here on the show, and I just also think that

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Speaker 1: the first person who yells across my at least six

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Speaker 1: foot air barrier of virus safety to put on a

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Speaker 1: mask or else they're going to call Mayor de Blasio's

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Speaker 1: snitch line. Even though I'd be walking entirely alone except

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Speaker 1: for talula, in open air on a generally empty street

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Speaker 1: in NYC. They are going to find me very disagreeable

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Speaker 1: to that little dictatorial impulse. They're going to find that

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Speaker 1: I do not like that and do not respond well

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Speaker 1: to it. And I know that there is now a

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Speaker 1: statewide order in effect, but some of these statewide orders

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Speaker 1: are of dubious constitutionality and legality. We have been accepting them,

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Speaker 1: but if we chose to challenge them, the state would

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Speaker 1: have a very hard time proving some of this is

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Speaker 1: in fact within its remit in court. But they're doing

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Speaker 1: it anyway. They're doing it anyway, and that's that's concerning you.

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Speaker 1: For the past month. If you brought up any concerns

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Speaker 1: about creeping state tyranny as I have, you've been told

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Speaker 1: to shut up, you've been told you want Grandma to die,

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Speaker 1: and you've been told to stay inside. Peasant Nancy Pelosi

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Speaker 1: has Jenny's ice Cream to eat in front of her

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Speaker 1: twenty five thousand dollar Viking fridge, well stocked by the servants.

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Speaker 1: I would note Nancy Pelosi guarantees she has quote, they

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Speaker 1: don't call them servants anymore. They call them staff. I

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Speaker 1: did not grow up rich, but I grew up among,

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Speaker 1: you know, in close proximity to the rich here in

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Speaker 1: New York City, and I know that some of the

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Speaker 1: proper terminology for the high falutin folks. It's not you

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Speaker 1: don't call them servants, you call them staff, even if

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Speaker 1: you make them wear one of those old time butler

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Speaker 1: or made uniforms. Trust me, Nancy Pelosi's got a bunch

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Speaker 1: of people maintaining the castle for her while she's telling

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Speaker 1: the rest of us to stay locked indoors. But for

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Speaker 1: the past month, if you brought any of this up,

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Speaker 1: that you were treated terribly. And now we have mothers

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Speaker 1: being dragged away in front of their children for the

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Speaker 1: crime of getting fresh air in a playground and jogging

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Speaker 1: on a beach is treated like a public menace. Many

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Speaker 1: of us have been warning all along ye about just

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Speaker 1: what is going to happen the moment the government has

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Speaker 1: too much power, the moment that we start to say,

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Speaker 1: the Bill of Rights no longer counts. You can tell

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Speaker 1: us whether we have freedom of assembly, You can tell

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Speaker 1: us whether we are freedom of speech, what we're allowed

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Speaker 1: to say? This is very troubling, you know. One of

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Speaker 1: the areas of the digital era, of the digital revolution

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Speaker 1: in which we live, that I have always found to

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Speaker 1: be a remarkable step forward true progress. I feel like

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Speaker 1: progressives have ruined the word progress for many of us,

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Speaker 1: but it is still a good word, still got usage.

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Speaker 1: But one area of true progress has been the notion

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Speaker 1: of the major social media platforms as free speech havens.

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Speaker 1: Now we've all found out the hard way that's not

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Speaker 1: really true. But how not true is it? YouTube ceo

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Speaker 1: Susan producer Mark, how do we? I mean? This is

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Speaker 1: a Polish one. I don't know if you know Polish

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Speaker 1: better than me. Chickie sure, why not? Why do chickie,

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Speaker 1: I'll go? Or why cheeky? That's a tough one anyway,

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Speaker 1: the CEO of YouTube and pardon me, I should know

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Speaker 1: her name, but you know, we're doing a show here

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Speaker 1: and I didn't look this one up beforehand, so that's

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Speaker 1: on me. But ce CEO Susan will call her had

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Speaker 1: this to say, about what will be a remove now.

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Speaker 1: We're all trying to find out more facts, have a conversation.

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Speaker 1: All big study on hydroxy chloroquins come out and people

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Speaker 1: are celebrating, Oh, more people are gonna die now because

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Speaker 1: we don't have a drug that can actually help keep

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Speaker 1: them alive. The journalists are all going see and they're

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Speaker 1: secretly going yeah, because they're blaming it on Trump like psychopaths.

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Speaker 1: I actually reached out and sent the study too, and

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Speaker 1: I've had a conversation with an infectious disease specialist whom

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Speaker 1: I know quite well, and I have a whole bunch

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Speaker 1: of data from a professional analysis, I should say, from

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Speaker 1: a professional based on that data that I will share

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Speaker 1: with you today that you will not see from the

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Speaker 1: mainstream media. But YouTube supposed to be a place where

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Speaker 1: you can share your thoughts on matters of public policy. Right.

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Speaker 1: This is Look, this is not hate speech. This is

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Speaker 1: not you know, threatening anybody or causing violence or instigation

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Speaker 1: of violence or anything like that. This is open public

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Speaker 1: discussion what should we do about the pandemic. YouTube CEO

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Speaker 1: Susan had this to say about what they'll pull down

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Speaker 1: from that site. Play too. But then we also talk

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Speaker 1: about removing information that is problematic. Of course, anything that

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Speaker 1: is medically unsubstantiated to people saying like take vitamin c

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Speaker 1: um you know, take tumoranic like those are all will

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Speaker 1: cure you. Those are the examples of things that would

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Speaker 1: be a violation of her policy. Anything that would go

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Speaker 1: against World Health Organization recommendations would be a violation of

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Speaker 1: her policy. And so remove is another really important part

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Speaker 1: of our policy. Remove that's a that's a nice way

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Speaker 1: of saying censorship. This is YouTube engaging in censorship on

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Speaker 1: behalf of the who the who, who what what archamedies. No,

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Speaker 1: the World Health Organization, that's the same organization that we

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Speaker 1: know told the world in the middle of January, Oh,

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Speaker 1: it turns out they didn't think there was any evidence

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Speaker 1: of human to human transmission of this virus that is

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Speaker 1: now largely shut down the world. The organization that has

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Speaker 1: been doing China's bidding and that has been praising China

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Speaker 1: in recent weeks for its response to this crisis. Yes,

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Speaker 1: that organization. If you disagree with them, or if you

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Speaker 1: tell people to what take more vitamin C or what

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Speaker 1: goes against WHO recommendations, I would wonder or wearing a

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Speaker 1: mask if you said you need to wear a mask

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Speaker 1: a month ago, that would have been against the wa

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Speaker 1: H mandate, it seems. And if you now don't wear

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Speaker 1: a mask, you're against the man. And the mandate keeps changing.

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Speaker 1: For those who actually understand history, the idea that consensus

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Speaker 1: around ideas of medicine and around science consensus matters is

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Speaker 1: is a very dangerous one. The facts matter, data matters.

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Speaker 1: Consensus is often political. Consensus means nothing. If you're curious,

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Speaker 1: you could go back and read about how there were outbreaks,

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Speaker 1: outbreaks of cholera in Great Britain stretching into the middle

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Speaker 1: of the nineteenth century, and at that point in time, London,

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Speaker 1: you know, you're talking about eighteen sixties, eighteen seventies, eighteen eighties,

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Speaker 1: London is really the intellectual and scientific center of the world.

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Speaker 1: I mean, London was considered a more more sophisticated in

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Speaker 1: those regards than anywhere else, perhaps even including the United States,

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Speaker 1: and the overwhelming majority of doctors in London would have

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Speaker 1: told you in the eighteen seventies and the eighteen eighties

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Speaker 1: that the reason you would have gotten cholera, which is

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Speaker 1: a very very dangerous bacteria that's water borne it actually

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Speaker 1: comes from human human waste. That's how it has transferred.

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Speaker 1: So human waste gets into the water and it spreads

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Speaker 1: very very rapidly. In your fatality rate if you get

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Speaker 1: it within twenty four hours is about forty percent. So

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Speaker 1: it is a vicious disease and kills people very quickly.

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Speaker 1: The theory was called the myasthma theory or miasmatic theory,

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Speaker 1: and it was that there was a noxious form of

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Speaker 1: bad air that gave you cholera. Now you might say

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Speaker 1: about why are you bring this up, because that was

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Speaker 1: the expert consensus and the most advanced and sophisticated medical

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Speaker 1: community in the world at the time. Now that's not

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Speaker 1: to say that there's no such thing as signed. You know,

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Speaker 1: if I if I have a bad needo strap throat,

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Speaker 1: I'm antbiotics. Right, I'm not saying that that science is

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Speaker 1: in science. I'm merely saying that was their theory. They

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Speaker 1: didn't have proof, but they tried to bludgeon other people

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Speaker 1: with consensus, and consensus is not science. So for right

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Speaker 1: now to hear people say, oh, well, whatever the World

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Speaker 1: Health Organization says, does the World Health Organization get to

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Speaker 1: weigh in on whether the virus came from a lab

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Speaker 1: or came from the wet market in Wuhan. Are you

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Speaker 1: allowed to go against that? I want to know where

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Speaker 1: the censorship stops and starts with what the consensus on

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Speaker 1: these issues may be. We have petty totalitarianism rising in

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Speaker 1: states across the country where we just shouldn't see it.

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Speaker 1: No one should be arresting a mom for wanting to

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Speaker 1: be out in the air with their child. It's just stupid.

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Speaker 1: We all know that it's wrong, and we should expect

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Speaker 1: that any government official would know that. We're seeing that happen,

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Speaker 1: and we're also seeing the shutdown of free and open

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Speaker 1: discourse about an area where the models have been wrong,

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Speaker 1: the experts have been wrong. We did not see this coming.

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Speaker 1: They do not know how to treat this, They do

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Speaker 1: not know how to cure this. But they want everyone

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Speaker 1: to just shut up and stay inside. I think that's

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Speaker 1: a big problem, my friends. I think we need to

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Speaker 1: keep pushing for real answers. This does not mean we

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Speaker 1: have an excuse to be reckless and disregard facts in data.

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Speaker 1: It means let's really look at the facts and data

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Speaker 1: and what people are going to just chime in with

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Speaker 1: all the experts said, the consensus is, prove it to me.

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Speaker 1: Do not try to silence me by waiving a fancy

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Speaker 1: degree that someone else or some other group of people

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Speaker 1: have when they won't be the ones making the argument

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Speaker 1: about why I can't take a walk in a park

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Speaker 1: without a mask on my face. You're in the freedom mind.

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Speaker 1: This is the Buck Sex and Show podcast. We will

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Speaker 1: continue to see mortality and death among our American citizens,

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Speaker 1: particularly in the cities as they begin to move past peak,

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Speaker 1: because death a lie, and so we really need to

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Speaker 1: continue to unite and really, really really support our healthcare

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Speaker 1: providers who are still on the front lines. They have

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Speaker 1: been on the front lines now for weeks and weeks

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Speaker 1: and weeks, and so no matter what city they have

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Speaker 1: been in, they have not seen the relief that we've

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Speaker 1: been able to talk about at the light at the

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Speaker 1: end of the tunnel because of the delay in hospitalizations

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Speaker 1: and deaths. To our healthcare providers, to our respiratory therapists,

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Speaker 1: and to everyone in the labs, thank you for the

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Speaker 1: work that you're doing to protect Americans and give us

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Speaker 1: one of the lowest mortality rates in the entire world.

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Speaker 1: A lot of important things out there and I wanted

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Speaker 1: to make sure that I also always balance out my

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Speaker 1: dispute is with the policy medical experts and the way

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Speaker 1: they're influencing national policy, dictating on the national policy outside

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Speaker 1: of their purview of expertise, and it is inherently therefore

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Speaker 1: both in economic and political matter, and that's a separate

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Speaker 1: issue from the doctor's nurses and everyone who who are

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Speaker 1: just trying to keep alive, our friends, families, relatives, everybody,

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Speaker 1: everybody out there right now who's dealing with this. So

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Speaker 1: I always like to make sure that we establish that separation.

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Speaker 1: You know, it is a brave thing to show up

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Speaker 1: every day now as a nurse, as a doctor, as

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Speaker 1: an EMT, and expose yourself to people who have high

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Speaker 1: high levels of this virus, a virus we still really

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Speaker 1: don't understand very well and have a lot that we

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Speaker 1: have to learn about. I will talk about that hydroxy

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Speaker 1: chloroquine study. I have some really worthwhile insights from a

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Speaker 1: true expert for you on that. But I also just

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Speaker 1: wanted to note that how often do you hear that

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Speaker 1: America has the lowest you know, the America having the

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Speaker 1: lowest fatality rate from everything that we can see so far,

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Speaker 1: is largely we can't really establish a specific percentage, but

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Speaker 1: largely a function of those healthcare workers. I do not

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Speaker 1: think it is a function of our policy, because other

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Speaker 1: countries had lockdown policies too. I mean, he'll never really

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Speaker 1: be able to see true numbers on this, but I

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Speaker 1: would note that there are there are other other ways,

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Speaker 1: other other factors that you'd have to look at here.

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Speaker 1: But our doctors are doing really, really good work with

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Speaker 1: what they have. They have a very limited tool kit,

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Speaker 1: which is tragic. You know, the ventilators. We've heard so

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Speaker 1: much about ventilators. Your chance of coming off a ventilator,

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Speaker 1: if you go on at least by all New York

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Speaker 1: State data and we've had the most cases, is one

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Speaker 1: in five. That's very it's disconcerting. Now one in five

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Speaker 1: isn't you know, isn't one percent? But it's obviously not

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Speaker 1: as high as we would want it to be. We

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Speaker 1: need more weapons, we need more tools for our first responders. Also,

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Speaker 1: I mentioned you the the myasthma theory actually comes from

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Speaker 1: the ancient Greek word for pollution, which I think is

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Speaker 1: just an interesting uh. You know, we have we have

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Speaker 1: these terms, these medical terms that we still use today.

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Speaker 1: I've mentioned you before that influenza comes from Italian sailors

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Speaker 1: and I believe the fourteenth century talking about how they

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Speaker 1: thought that the disease was the influence the stars. That's

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Speaker 1: where influenza comes from. Okay, this is the term that

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Speaker 1: we still use to this day. Malaria is a term

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Speaker 1: from medieval Italian that means bad air, which people also

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Speaker 1: thought it was the it was the bad air that

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Speaker 1: made you sick. They didn't realize that it was a

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Speaker 1: parasite that was transmitted through the bite of an infected mosquito,

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Speaker 1: and that human beings were the were the you know,

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Speaker 1: the hosts, and that the mosquitoes were the reservoir for this.

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Speaker 1: So there's a lot that we still have to learn,

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Speaker 1: a lot that we have to get into this fight now.

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Speaker 1: I want to spend a little bit of time on

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Speaker 1: because this has become so political, and I'm seeing already

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Speaker 1: liberals who are saying that hydroxy chloroquin because this one

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Speaker 1: study came out of France and like the studies, results

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Speaker 1: are not good for those who want a better weapon

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Speaker 1: against the disease, which I would think everybody would be

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Speaker 1: in favor of. But there's some people that can't get

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Speaker 1: out of their way on this one. But it's not

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Speaker 1: it's not a definitive and it's not as clear as

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Speaker 1: they say. And I've told you when there have been

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Speaker 1: encouraging results about hydroxy chloroquine that are anecdotal. Well, I'm

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Speaker 1: going to tell you about what aspects of this study

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Speaker 1: that we've seen are not definitive and do require more study,

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Speaker 1: more scientific rigor. And it's too too soon to tell

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Speaker 1: is the real answer about hydroxy choricuin. But I want

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Speaker 1: to tell you why because I don't think a lot

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Speaker 1: of people are going to get this one right. Thanks

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Speaker 1: for listening to the bus sets and show podcasts. Remember

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

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Speaker 1: wherever you get your podcasts. You wanted to five quin.

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Speaker 1: I'm wondering if if you're concerned this VA study showed

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Speaker 1: that actually more people died that used the drug that didn't.

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Speaker 1: And I'm wondering if if the Governor Cuomo brought you

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Speaker 1: back any result. No, I'm discuss said, and I don't

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Speaker 1: know of the report. Obviously, there have been some very

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Speaker 1: good reports and perhaps this one's not a good report,

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Speaker 1: but we'll be looking at it. We'll have a comment

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Speaker 1: under there's some panel of experts at the NIH is

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Speaker 1: actually now recommending against the use of hydroxychlorical in combination

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Speaker 1: with zpac, which is something new. I'm always willing to

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Speaker 1: take a look. Okay, Notice how all along here we

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Speaker 1: have been told that this is somehow political, that the

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Speaker 1: President trying trying in some way to encourage people. Encourage

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Speaker 1: people by pointing out that there's some good information about

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Speaker 1: a drug that Remember, this is not drinking some random

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Speaker 1: substance in the hopes that's a miracle cure. This is

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Speaker 1: a long decades long approved by the FDA drug that

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Speaker 1: is really helpful for people with lupus, with rheumatoid arthwright is,

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Speaker 1: and who don't want to get malaria, which I had

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Speaker 1: to work with a guy once who had malaria, like

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Speaker 1: who had to relapse a malaria. It can actually relapse too,

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Speaker 1: I would note, it's ay at the parasite can come back.

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Speaker 1: It's a it's a terrible as it was explaining to

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Speaker 1: me when I was going over to Africa for the

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Speaker 1: first time on assignment by the government to a place

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Speaker 1: where malaria was everywhere, really bad. Malaria was everywhere. I

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Speaker 1: was going to be but it's I was told, whatever

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Speaker 1: the drug is, you got to take take it because

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Speaker 1: you really don't want malaria. Okay, it's a nasty, nasty disease.

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Speaker 1: I remember working with the guy who had the relapse

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Speaker 1: and he was just, oh, he's in really bad shape.

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Speaker 1: So we know that it works for other things. We

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Speaker 1: know that it's safe enough to take that. Remember, there's

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Speaker 1: always a balance when you take tailanol. And by the

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Speaker 1: if you go speak to a certain doctors who are neurologists,

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Speaker 1: I mean they'll tell you people that take a lot

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Speaker 1: of talent all for headaches, very hard on your stomach.

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Speaker 1: You really, you know, thailan al can mess you up,

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Speaker 1: and better not just tilent all any of these NSAIDs

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Speaker 1: that you take out there, there's just it's hard on

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Speaker 1: your system, it's hard on your liver. You really don't

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Speaker 1: want to be a heavy drinker and use those things.

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Speaker 1: And this is all on the label, right, This is

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Speaker 1: I'm not telling you anything that you don't know if

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Speaker 1: you ever read the label of a of an ibuprofen

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Speaker 1: or thailanol or any of the rest of it. Point

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Speaker 1: here is that there's a trade off in the drugs

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Speaker 1: and with this study on hydroxy chloroquine. We're being told, well,

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Speaker 1: let me tell you what it actually says. Amilaria drug

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Speaker 1: widely touted by President Donald Trump, this is for treating

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Speaker 1: the new coronavirus, showed no benefit in a large analysis

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Speaker 1: of its use in US veterans hospitals. There were more

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Speaker 1: deaths among those given hydroxy chloroquin versus standard care. Researchers reported.

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Speaker 1: The nationwide study was not a rigorous experiment, but with

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Speaker 1: three hundred and sixty eight patients, it's the largest look

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Speaker 1: so far of hydroxy chloroquin with or without. The antibiotic

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Speaker 1: is zethromycin for COVID nineteen, which has killed more than

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Speaker 1: one hundred and seventy one thousand people as of Tuesday. Okay,

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Speaker 1: this is all in political right. That's a quote from

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Speaker 1: this political article the study was posted, so is this.

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Speaker 1: The study was posted online for researchers and has been

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Speaker 1: submitted to the New England Journal of Medicine, but has

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Speaker 1: not been reviewed by other scientists. Grants from the National

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Speaker 1: Institutes of Health and the University of Virginia paid for

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Speaker 1: the work. Okay, friends, this sounds really This sounds like

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Speaker 1: you know, game over for hydroxychloroquinn. And I will just

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Speaker 1: note it is appalling that there are people that seem

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Speaker 1: to be eager to report this story and have a

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Speaker 1: whole ha ha told you Trump was sharing this. Trump

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Speaker 1: so bet this is about giving people who are on

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Speaker 1: death store in a hospital with a with a very debilitating,

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Speaker 1: painful and lethal disease, giving them a chance to beat it.

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Speaker 1: I give you my word on my word of honor.

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Speaker 1: If you know, Chuck Schumer was out there saying, hey, guys,

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Speaker 1: I saw this drug study and it looks pretty good

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Speaker 1: for COVID patients if they take the following. Let's hope

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Speaker 1: it's true, which is all Trump has said. Trump didn't

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Speaker 1: say it works. He's saying, let's hope. It's like I've

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Speaker 1: seen some things. Let's hope. I promise you I'd say,

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Speaker 1: I hope Chuck Schumer is right and that this study

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Speaker 1: does prove. I mean, we all want we all want

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Speaker 1: the same thing, or we should want the same thing here,

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Speaker 1: which is more weapons for our healthcare providers to fight

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Speaker 1: the invisible enemy of this virus and protect more people,

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Speaker 1: protect more lives, save more people. But there's an an obvious,

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Speaker 1: a visible glee with which some in the media report

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Speaker 1: on this, and you do end up asking yourself, how

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Speaker 1: deranged have they really become? When even under these circumstances,

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Speaker 1: the most important thing to them is that Trump looks bad.

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Speaker 1: There's no disappointment at this drug not necessarily working the

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Speaker 1: way that we were hoping. No one said it was

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Speaker 1: a cure. I should say, no one in the Trump

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Speaker 1: administration said it was a cure. I don't know what

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Speaker 1: everybody says, but the Trump administration was not misrepresenting this

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Speaker 1: at all. But it's also not over friends. You'll see

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Speaker 1: that whenever a study comes out like psurology tests, all

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Speaker 1: of a sudden, ever becomes an expert in scientific experimentation,

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Speaker 1: all of a sudden, they'll be said, oh, there's no

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Speaker 1: there's no control group. Oh there's no h you know,

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Speaker 1: there's nothing, nothing that you can do to look at

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Speaker 1: this that makes it prove anything, right, I mean, you know,

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Speaker 1: there they tear apart studies that, remember, beating the virus

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Speaker 1: has been conflated in a lot of journals and Democrats

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Speaker 1: minds with coold for Trump. Therefore, Mumm a little conflicted

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Speaker 1: about some aspects of this. You know, at a little

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Speaker 1: you know, sure they would say they want to save

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Speaker 1: every life. Of course they would say that. But yet

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Speaker 1: whenever there's a story that could promote the ability of

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Speaker 1: the administration to handle this better, or that it's not

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Speaker 1: perhaps going to be as bad as we had been told,

430
00:25:10,960 --> 00:25:14,440
Speaker 1: there's this very clear this this part is in divide

431
00:25:14,440 --> 00:25:17,280
Speaker 1: in the way that people view this, and I find

432
00:25:17,280 --> 00:25:20,480
Speaker 1: that very troubling. But this study that now, and I

433
00:25:20,520 --> 00:25:23,639
Speaker 1: saw the bill, there were people that we're kind of

434
00:25:23,640 --> 00:25:27,080
Speaker 1: spiking the football. See hydroxy chloroquin doesn't work the way

435
00:25:27,080 --> 00:25:30,160
Speaker 1: that you were told it does. Well, that's that's really

436
00:25:30,200 --> 00:25:33,800
Speaker 1: bad news for humanity. Okay, we want drugs that are

437
00:25:33,800 --> 00:25:35,679
Speaker 1: going to save people here, we want things that are

438
00:25:35,720 --> 00:25:39,399
Speaker 1: going to work. But it's also not true. This is

439
00:25:39,480 --> 00:25:42,160
Speaker 1: just yet another data point among many. And we don't

440
00:25:42,160 --> 00:25:44,560
Speaker 1: remember what I said. It's not about consensus. It's about science.

441
00:25:44,560 --> 00:25:48,720
Speaker 1: It's about facts. It's about what is true, what is provable,

442
00:25:50,160 --> 00:25:54,359
Speaker 1: what can be replicated as a result. And here is

443
00:25:54,359 --> 00:25:59,040
Speaker 1: what a friend of mine, and really on all these issues,

444
00:25:59,080 --> 00:26:01,840
Speaker 1: a kind of mentor or right, I said, look, Keny,

445
00:26:01,840 --> 00:26:03,240
Speaker 1: you got to break this study down for me. What

446
00:26:03,240 --> 00:26:05,600
Speaker 1: are we said? Is this game over for hydroxy chloroquin?

447
00:26:06,119 --> 00:26:07,840
Speaker 1: And I can tell you this is somebody who I have.

448
00:26:08,560 --> 00:26:10,760
Speaker 1: I mean, I've entrusted my health and my life too

449
00:26:10,920 --> 00:26:13,600
Speaker 1: in the past on some serious stuff. This is a

450
00:26:13,600 --> 00:26:16,040
Speaker 1: guy who really really knows his stuff, and he's very,

451
00:26:16,080 --> 00:26:18,159
Speaker 1: very highly regarded. But he like he lives a private

452
00:26:18,160 --> 00:26:20,440
Speaker 1: life as an MD. And I'm not I told him

453
00:26:20,280 --> 00:26:23,000
Speaker 1: I just would use his analysis. I'm not gonna, but

454
00:26:23,040 --> 00:26:25,480
Speaker 1: he's an infectious disease specialist. He said. This is what

455
00:26:25,640 --> 00:26:28,400
Speaker 1: This is his response. You know, the media, Politico, everyone's

456
00:26:28,400 --> 00:26:32,400
Speaker 1: own NPR. The study shows a hydroxy chloroquin. His garbage

457
00:26:32,400 --> 00:26:35,280
Speaker 1: doesn't work for this the dangerous drug. In fact, more

458
00:26:35,280 --> 00:26:39,840
Speaker 1: people died who took hydroxy chloroquin. Here's what he says. Quote.

459
00:26:39,880 --> 00:26:42,560
Speaker 1: This is probably the worst of study designs. It is

460
00:26:42,640 --> 00:26:46,680
Speaker 1: retrospective analysis with no stated methods as to how patients

461
00:26:46,760 --> 00:26:50,760
Speaker 1: were assigned one of the three treatment arms. In addition,

462
00:26:51,160 --> 00:26:54,840
Speaker 1: the three groups were not entirely comparable and all were

463
00:26:54,880 --> 00:26:59,520
Speaker 1: sick enough to be hospitalized. A key indicator of prognosis,

464
00:27:00,720 --> 00:27:06,320
Speaker 1: fibrine degradation products, was not even measured, So although it

465
00:27:06,400 --> 00:27:10,240
Speaker 1: may be proven true in subsequent prospective trials, we should

466
00:27:10,280 --> 00:27:14,280
Speaker 1: also understand that proponents of the use of hydroxy chloroquine

467
00:27:14,359 --> 00:27:19,119
Speaker 1: in various combinations with other drugs, all suggest that the

468
00:27:19,200 --> 00:27:24,480
Speaker 1: drug is most effective when used early, well before patients

469
00:27:24,600 --> 00:27:29,919
Speaker 1: qualify for hospitalization. This is similar to the way we

470
00:27:30,040 --> 00:27:33,520
Speaker 1: use otomivie. This is how you know this came from

471
00:27:33,520 --> 00:27:35,399
Speaker 1: an expert, because I don't even how to pronounce this stuff.

472
00:27:35,440 --> 00:27:41,920
Speaker 1: Oseltomivir or baloch savie for influenza unless started within seventy

473
00:27:41,920 --> 00:27:46,720
Speaker 1: two hours of onset of viral symptoms, these effective, proven

474
00:27:46,800 --> 00:27:50,679
Speaker 1: and licensed drugs have little or no demonstrable effect on

475
00:27:50,720 --> 00:27:55,920
Speaker 1: the course of influenza. However, we still routinely will use

476
00:27:55,960 --> 00:28:00,000
Speaker 1: them in advanced late beyond seventy two hours influenza patients

477
00:28:00,240 --> 00:28:03,320
Speaker 1: who are sick enough to be admitted to the hospital.

478
00:28:04,119 --> 00:28:06,359
Speaker 1: It will be interesting to see if this article is

479
00:28:06,400 --> 00:28:11,320
Speaker 1: even accepted by a reputable journal, meaning the study is

480
00:28:11,359 --> 00:28:15,280
Speaker 1: even accepted by a reputable journal. Oh wait a second,

481
00:28:15,320 --> 00:28:17,280
Speaker 1: you mean there's a lot more layers here, There's a

482
00:28:17,280 --> 00:28:19,240
Speaker 1: lot more research and work that needs to be done.

483
00:28:20,359 --> 00:28:24,240
Speaker 1: I've been telling you this four weeks now. The real

484
00:28:24,400 --> 00:28:27,600
Speaker 1: experts who are looking at this and who are and

485
00:28:27,640 --> 00:28:31,119
Speaker 1: he's somebody who's his hospital is treating large number of

486
00:28:31,160 --> 00:28:34,800
Speaker 1: COVID patients. He's looking at all the data from those trials.

487
00:28:34,800 --> 00:28:36,600
Speaker 1: I have another friend who's a doctor out in Brooklyn.

488
00:28:36,640 --> 00:28:41,080
Speaker 1: He's treating large numbers of COVID patients and looking at

489
00:28:41,160 --> 00:28:44,400
Speaker 1: and then they were using hydroxy chloroquin on them, and

490
00:28:44,480 --> 00:28:46,600
Speaker 1: it seemed like works for some people, doesn't work for

491
00:28:46,640 --> 00:28:49,960
Speaker 1: other Well, it's not random. There's some reason why it

492
00:28:49,960 --> 00:28:51,640
Speaker 1: would work for some and not others, and we'd have

493
00:28:51,680 --> 00:28:54,280
Speaker 1: to get to the bottom of that. But notice how

494
00:28:54,280 --> 00:28:57,720
Speaker 1: the politics drives the narrative, not not the science. We

495
00:28:57,760 --> 00:28:59,840
Speaker 1: already know. So you see what he's explaining. Here is it?

496
00:28:59,880 --> 00:29:01,920
Speaker 1: For First of all, this this study is there's a

497
00:29:02,000 --> 00:29:03,800
Speaker 1: lot of holes, there's a lot of weakness in the study.

498
00:29:04,040 --> 00:29:08,080
Speaker 1: But we already know that there are the most effective

499
00:29:08,120 --> 00:29:12,240
Speaker 1: anti virals we use for influenza, remember fourteenth century Italians

500
00:29:12,280 --> 00:29:18,160
Speaker 1: influenza influence of the stars. We already know that you

501
00:29:18,200 --> 00:29:20,600
Speaker 1: have to take it early on, or else the viral

502
00:29:20,640 --> 00:29:24,560
Speaker 1: replication gets to the point where you can't really you know,

503
00:29:25,000 --> 00:29:27,160
Speaker 1: the horse has already left the barn, right, you're got

504
00:29:27,800 --> 00:29:30,040
Speaker 1: you gotta get to it within a certain timeframe or else.

505
00:29:30,320 --> 00:29:32,600
Speaker 1: And this is even true of tamiflu, which I'm assuming

506
00:29:32,640 --> 00:29:35,760
Speaker 1: maybe that's what osel tamavir. That's probably what it is actually,

507
00:29:35,920 --> 00:29:37,280
Speaker 1: now that I think about it, I'm just guessing that

508
00:29:37,360 --> 00:29:39,719
Speaker 1: might not. You know, it's not medical advice, but you

509
00:29:39,720 --> 00:29:41,800
Speaker 1: have to take these drugs early on or else they

510
00:29:41,800 --> 00:29:44,680
Speaker 1: have no effect. That's true of So why would that

511
00:29:44,720 --> 00:29:48,640
Speaker 1: be so strange with hydroxychloroquine because people were, you know,

512
00:29:48,680 --> 00:29:51,960
Speaker 1: the regulators were a little bit gun shy about giving

513
00:29:52,040 --> 00:29:54,280
Speaker 1: hydroxy chloroquine to people. You know what they've done. They've

514
00:29:54,280 --> 00:29:58,320
Speaker 1: said it's only going to people in hospitals. Who shows

515
00:29:58,400 --> 00:30:02,320
Speaker 1: up at hospitals now with COVID nineteen that small but

516
00:30:02,440 --> 00:30:06,520
Speaker 1: substantial percentage of people that have extreme symptoms. So you're

517
00:30:06,560 --> 00:30:08,680
Speaker 1: already looking at people who have had a lot of

518
00:30:08,760 --> 00:30:11,400
Speaker 1: virus replication inside of them and are in bad shape.

519
00:30:12,040 --> 00:30:14,640
Speaker 1: It may be too late for hydroxy chloroquine to switch

520
00:30:14,680 --> 00:30:18,800
Speaker 1: that off. The primary threat to individuals once they get

521
00:30:18,840 --> 00:30:22,480
Speaker 1: to that phase is the least the primary threat that

522
00:30:22,480 --> 00:30:24,800
Speaker 1: we're seeing that causes causes fatality. We know the lung

523
00:30:24,840 --> 00:30:27,480
Speaker 1: shutdown and they don't function. But why it's ards it's

524
00:30:27,480 --> 00:30:30,640
Speaker 1: this inflammatory syndrome in the lungs had come from something

525
00:30:30,640 --> 00:30:34,240
Speaker 1: called a cytokine storm. Well, if you already have enough

526
00:30:34,280 --> 00:30:37,080
Speaker 1: virus in your system that you're you've arrived at the

527
00:30:37,400 --> 00:30:40,440
Speaker 1: cytokine storm phase. Even if you're starting to fight back

528
00:30:40,440 --> 00:30:44,320
Speaker 1: on that virus replication, the inflammatory and immune response in

529
00:30:44,320 --> 00:30:49,480
Speaker 1: your lungs may be too much and you might die anyway. Now,

530
00:30:49,520 --> 00:30:51,920
Speaker 1: this is theorizing, but it's theorizing, and I'm barring. These

531
00:30:51,920 --> 00:30:55,480
Speaker 1: are theories I'm barring from actual mds and people that

532
00:30:55,520 --> 00:30:57,720
Speaker 1: work in infectious disease, not you know, no offense. I

533
00:30:57,720 --> 00:30:59,640
Speaker 1: love dermatologists. They do great work too, but I'm talking

534
00:30:59,640 --> 00:31:01,960
Speaker 1: with people look at an infectious and now that they

535
00:31:02,000 --> 00:31:03,800
Speaker 1: do infectious disease too in a way, but you know

536
00:31:03,840 --> 00:31:05,640
Speaker 1: they you see, you see what I'm saying. People that

537
00:31:05,680 --> 00:31:10,000
Speaker 1: this is their realm of expertise. So I remember, I

538
00:31:10,040 --> 00:31:12,080
Speaker 1: think there was it wasn't there a Seinfeld episode where

539
00:31:12,320 --> 00:31:15,120
Speaker 1: Jerry said something about dermatologists and then and then they're

540
00:31:15,120 --> 00:31:17,840
Speaker 1: like our dermatologists And then uh, I think George or

541
00:31:17,880 --> 00:31:21,000
Speaker 1: Somebody's like, yeah, Jerry, skin cancer and he goes, oh, no,

542
00:31:21,240 --> 00:31:24,560
Speaker 1: he was dating a dermatologist and she claimed to save

543
00:31:24,640 --> 00:31:27,440
Speaker 1: lives and he said she doesn't save lives and he

544
00:31:27,480 --> 00:31:29,640
Speaker 1: called her out for it, and then she was creating

545
00:31:29,680 --> 00:31:32,680
Speaker 1: skin cancer. Thank you, thank you. That's right, yes, yes,

546
00:31:32,760 --> 00:31:35,880
Speaker 1: So I don't dermatologist legit mds that do very important stuff.

547
00:31:35,920 --> 00:31:37,400
Speaker 1: I just mean that this is within the spet the

548
00:31:37,440 --> 00:31:39,719
Speaker 1: doctors I'm talking about this, this is within their specialty

549
00:31:40,200 --> 00:31:44,000
Speaker 1: of dealing with infectious disease um. You know, somebody on

550
00:31:44,000 --> 00:31:47,040
Speaker 1: on social media actually called out Alex Barrinson, who we have,

551
00:31:47,600 --> 00:31:48,880
Speaker 1: who we had on the show, who's one of the

552
00:31:48,880 --> 00:31:51,959
Speaker 1: few people willing to ask questions about the dominant narrative

553
00:31:51,960 --> 00:31:54,560
Speaker 1: about COVID nineteen and all of this, and someone was

554
00:31:54,640 --> 00:31:56,720
Speaker 1: yelling at him on Twitter, you know your wife is

555
00:31:56,760 --> 00:32:01,920
Speaker 1: not even is not even a physician, esusy chiatrists. Psychiatrists

556
00:32:02,040 --> 00:32:04,880
Speaker 1: go to medical school, have an MD and are in

557
00:32:04,960 --> 00:32:08,760
Speaker 1: fact physicians. Alex I think appreciated on Twitter. I explained

558
00:32:08,800 --> 00:32:11,600
Speaker 1: this to some of the angry masses who people really

559
00:32:11,640 --> 00:32:13,600
Speaker 1: don't want to believe what he's telling them, which is just, hey,

560
00:32:13,600 --> 00:32:15,920
Speaker 1: look at the numbers. It's not it's bad. It's not

561
00:32:15,960 --> 00:32:18,400
Speaker 1: as bad as they're saying. That's the message that gets

562
00:32:18,400 --> 00:32:20,680
Speaker 1: you in trouble. These days. Things are bad. We all

563
00:32:20,720 --> 00:32:23,959
Speaker 1: know that the economy is in really bad shape and

564
00:32:24,000 --> 00:32:25,960
Speaker 1: we're losing a lot of people from this virus, and

565
00:32:26,040 --> 00:32:30,600
Speaker 1: things are bad, but the virus itself is not as

566
00:32:30,720 --> 00:32:33,720
Speaker 1: bad as they told you it would be. And that's

567
00:32:33,760 --> 00:32:35,720
Speaker 1: the message that gets you in so much trouble right now.

568
00:32:36,320 --> 00:32:39,720
Speaker 1: It's also why when you bring up the possibility of

569
00:32:39,760 --> 00:32:43,120
Speaker 1: a therapy that is useful in fighting against this disease,

570
00:32:43,640 --> 00:32:45,320
Speaker 1: especially if it's something that the president and not just

571
00:32:45,360 --> 00:32:47,280
Speaker 1: the president. A lot of people have talked about hydroxy

572
00:32:47,360 --> 00:32:49,560
Speaker 1: chloric wine. Doctors have been going on TV talking about

573
00:32:49,640 --> 00:32:52,280
Speaker 1: hydroxy chloric wine. Oh, but Tom Hanks's wife says that

574
00:32:52,280 --> 00:32:54,200
Speaker 1: it gave a really bad side effects. Yeah, there are

575
00:32:54,200 --> 00:32:59,320
Speaker 1: side effects. We've always known that about the drug. People

576
00:32:59,320 --> 00:33:01,840
Speaker 1: are not aligned here with what is righteous and what

577
00:33:02,000 --> 00:33:04,320
Speaker 1: is good. They're not turning toward the light on this

578
00:33:04,360 --> 00:33:07,360
Speaker 1: issue because the politics of the moment have blinded them.

579
00:33:07,920 --> 00:33:10,360
Speaker 1: We don't the answer about hydroxy chloroquine is we don't

580
00:33:10,400 --> 00:33:13,440
Speaker 1: have the answer. But people that are trying to act

581
00:33:13,480 --> 00:33:15,240
Speaker 1: like we do and shut this whole thing down. I

582
00:33:15,280 --> 00:33:17,120
Speaker 1: know there's a change in the CDC guidance about it.

583
00:33:17,160 --> 00:33:20,640
Speaker 1: What's because they don't know? But we shall see my friends,

584
00:33:20,680 --> 00:33:22,720
Speaker 1: it is too early to tell. That's a different thing

585
00:33:22,800 --> 00:33:26,520
Speaker 1: from we know. And haha, Trump was wrong, which is

586
00:33:26,560 --> 00:33:31,120
Speaker 1: bizarre on a whole bunch of levels. You're in the

587
00:33:31,240 --> 00:33:38,720
Speaker 1: freedom hunt. This is the Buck Sexton Show podcast. Corona

588
00:33:38,920 --> 00:33:42,240
Speaker 1: is really saying to Americans, says, hey, wait a minute, folks,

589
00:33:42,480 --> 00:33:45,440
Speaker 1: It's important to listen to the experts. It's important to

590
00:33:45,480 --> 00:33:49,040
Speaker 1: listen to scientists. It's important to find a baseline of

591
00:33:49,080 --> 00:33:53,200
Speaker 1: truth and make the choices on it. So coronavirus, maybe

592
00:33:53,240 --> 00:33:56,160
Speaker 1: America and the world's great wake up goal with respect

593
00:33:56,160 --> 00:33:59,520
Speaker 1: to the challenge of climate because this is coming at us.

594
00:34:00,160 --> 00:34:02,680
Speaker 1: If you think pandemics are bad today, why do you

595
00:34:02,760 --> 00:34:06,080
Speaker 1: have the warming at a greater level than it is now?

596
00:34:06,120 --> 00:34:11,200
Speaker 1: And we're headed there. Every scientific report and judgment shows

597
00:34:11,239 --> 00:34:18,000
Speaker 1: that we are heading into amazing negative impacts. The feedback

598
00:34:18,040 --> 00:34:20,440
Speaker 1: loops or in the earth are just horrendous right now.

599
00:34:20,480 --> 00:34:22,040
Speaker 1: I'm not going to go through them all. But so

600
00:34:22,200 --> 00:34:25,160
Speaker 1: that's that's the meaning of the deaths thus far. And

601
00:34:25,600 --> 00:34:29,400
Speaker 1: yesterday was the highest number of deaths. And still this

602
00:34:29,600 --> 00:34:33,719
Speaker 1: president is avoiding responsibility for testing. Just all blather and

603
00:34:33,800 --> 00:34:37,359
Speaker 1: talking points and nincompoopery from John Kerry that's really that's

604
00:34:37,400 --> 00:34:40,680
Speaker 1: his expertise, nincompoopery. What the heck is he talking about?

605
00:34:40,920 --> 00:34:45,719
Speaker 1: The lesson of COVID nineteen is climate change and how

606
00:34:45,800 --> 00:34:48,640
Speaker 1: much worse climate change is going to make these these

607
00:34:48,640 --> 00:34:53,360
Speaker 1: people that they really they have been brainwashed, and maybe

608
00:34:53,400 --> 00:34:56,080
Speaker 1: perhaps their efforts to brainwash other people has seeped into

609
00:34:56,120 --> 00:34:59,000
Speaker 1: their own brains and they really believe their own bs. Now,

610
00:34:59,080 --> 00:35:02,080
Speaker 1: maybe that's where they this is. Maybe they know this

611
00:35:02,160 --> 00:35:05,600
Speaker 1: is the reality of their own mindset. We're in the

612
00:35:05,600 --> 00:35:07,759
Speaker 1: middle of this pandemic, and you want to tell us

613
00:35:07,920 --> 00:35:11,759
Speaker 1: that we should be worried about climate change. That's all

614
00:35:11,800 --> 00:35:13,600
Speaker 1: based on models. So you want to talk about listen

615
00:35:13,600 --> 00:35:17,680
Speaker 1: to experts. Climate change is all about models. Models have

616
00:35:17,840 --> 00:35:21,160
Speaker 1: been wrong for climate change consistently now for really as

617
00:35:21,200 --> 00:35:25,080
Speaker 1: long as I've been alive. The experts on climate change

618
00:35:25,160 --> 00:35:27,440
Speaker 1: tend to usually be people who are like lawyers who

619
00:35:27,480 --> 00:35:30,600
Speaker 1: work for big international NGOs, who are leveraging some scientific

620
00:35:30,640 --> 00:35:33,760
Speaker 1: consensus when the real consensus doesn't exist. But the tyranny

621
00:35:33,760 --> 00:35:36,160
Speaker 1: that you're feeling right now are on this issue. They

622
00:35:36,160 --> 00:35:38,959
Speaker 1: will use this on climate change in the future. Mark

623
00:35:39,040 --> 00:35:43,120
Speaker 1: my words. Thanks for listening to the Bus Sesson Show. Podcasts.

624
00:35:43,440 --> 00:35:47,279
Speaker 1: Remember to subscribe on Apple Podcasts, the iHeartRadio app, or

625
00:35:47,280 --> 00:35:51,920
Speaker 1: wherever you get your podcasts. You also campaigned on reducing

626
00:35:52,640 --> 00:35:57,239
Speaker 1: legal immigration, and I'm wondering if some critics are saying

627
00:35:57,280 --> 00:36:00,000
Speaker 1: that you are using the virus now in this crisis

628
00:36:00,320 --> 00:36:04,359
Speaker 1: to follow through on that promise to reduce legal in her. No, No, well,

629
00:36:04,400 --> 00:36:06,759
Speaker 1: I want people that are in this country. I want

630
00:36:06,800 --> 00:36:09,360
Speaker 1: our citizens to get jobs. I don't want them to

631
00:36:09,400 --> 00:36:14,760
Speaker 1: have competition. We have a very unusual situation where something

632
00:36:14,800 --> 00:36:18,240
Speaker 1: came in that nobody has seen for many, many decades.

633
00:36:18,320 --> 00:36:21,680
Speaker 1: Probably nineteen seventeen would be the closest analogy if you

634
00:36:21,719 --> 00:36:23,400
Speaker 1: look at it, when you look at the contagion, the

635
00:36:23,520 --> 00:36:26,799
Speaker 1: kind of contagion we're talking about. So no, I'm not

636
00:36:26,840 --> 00:36:29,960
Speaker 1: doing that at all. I want I want the American

637
00:36:30,040 --> 00:36:32,759
Speaker 1: worker and the American or American citizens to be able

638
00:36:32,760 --> 00:36:35,040
Speaker 1: to get jobs. I don't want them to compete. Right now,

639
00:36:35,960 --> 00:36:40,120
Speaker 1: President saying he's suspending immigration because national security reasons. Of course,

640
00:36:40,160 --> 00:36:43,000
Speaker 1: we don't want additional virus cases brought into the country,

641
00:36:43,400 --> 00:36:45,759
Speaker 1: and also he doesn't want Americans at a time and

642
00:36:45,800 --> 00:36:48,520
Speaker 1: we're losing tens of millions of jobs. Unpresident of Job

643
00:36:48,560 --> 00:36:54,720
Speaker 1: losses competing with non Americans for those jobs. Sarah Carter

644
00:36:55,719 --> 00:36:59,319
Speaker 1: is an investigative reporter. She also is a dear friend

645
00:36:59,320 --> 00:37:02,080
Speaker 1: of mine and a Fox News contributor. I like to

646
00:37:02,080 --> 00:37:03,799
Speaker 1: think that being my dear friend is more important than

647
00:37:03,840 --> 00:37:07,160
Speaker 1: being a contribute you know, who knows. But anyway, Sarah Carter,

648
00:37:07,680 --> 00:37:09,319
Speaker 1: I just realized I threw that in the middle. I'm like, well,

649
00:37:09,320 --> 00:37:11,720
Speaker 1: if I should probably give a resume first. But anyway,

650
00:37:11,800 --> 00:37:14,480
Speaker 1: Sarah Carter, thank you so much for joining us. Dear

651
00:37:14,560 --> 00:37:17,160
Speaker 1: friend is definitely at the top of the list. Thank you.

652
00:37:17,200 --> 00:37:19,520
Speaker 1: I'll I'll take it. You don't have to put that

653
00:37:19,560 --> 00:37:22,360
Speaker 1: on your official resume, but but I'll take it. No,

654
00:37:22,520 --> 00:37:25,920
Speaker 1: it is on my official resume. But Sexton is my

655
00:37:25,960 --> 00:37:28,719
Speaker 1: dear friend. Here we go. So so, Sarah, I know,

656
00:37:28,800 --> 00:37:30,680
Speaker 1: you know you we want to talk about the crossfire

657
00:37:30,760 --> 00:37:33,160
Speaker 1: hurricane stuff because you've been all over that story for

658
00:37:33,760 --> 00:37:36,480
Speaker 1: years now and had been breaking lots of news on it,

659
00:37:36,840 --> 00:37:39,439
Speaker 1: and I think people think of your investigative journalism work

660
00:37:39,480 --> 00:37:42,359
Speaker 1: on that as much as anybody in the field, if

661
00:37:42,400 --> 00:37:45,120
Speaker 1: not the premier person in that field. But yeah, I

662
00:37:45,200 --> 00:37:46,880
Speaker 1: know you also do a lot on the border, and

663
00:37:47,000 --> 00:37:49,319
Speaker 1: when the border was a really hot topic. I used

664
00:37:49,360 --> 00:37:51,360
Speaker 1: to come to you to get insights about your travels

665
00:37:51,360 --> 00:37:53,640
Speaker 1: in Central America and what you're hearing from Border Patrol.

666
00:37:54,040 --> 00:37:57,799
Speaker 1: Given the crisis right now, the president's decision to try

667
00:37:57,960 --> 00:38:01,680
Speaker 1: and suspend immigration, what are you hearing from CBP, the

668
00:38:01,760 --> 00:38:04,640
Speaker 1: challenges that they face, and just what's going on in

669
00:38:04,719 --> 00:38:07,040
Speaker 1: our southern border right now. Well, I gotta tell you

670
00:38:07,080 --> 00:38:10,439
Speaker 1: from the very beginning, CBP our US Customs and Border

671
00:38:10,480 --> 00:38:12,880
Speaker 1: Protection officers that are out there on the border, on

672
00:38:12,880 --> 00:38:16,000
Speaker 1: the front lines every day. We're very concerned. There are

673
00:38:16,040 --> 00:38:19,960
Speaker 1: a number of custom and Border Protection officers who have

674
00:38:20,040 --> 00:38:24,240
Speaker 1: been exposed to the coronavirus uh there. You know. Of course,

675
00:38:24,560 --> 00:38:27,600
Speaker 1: those that do have it have been pulled off the

676
00:38:27,640 --> 00:38:30,560
Speaker 1: front line until they can get better and recover. That's

677
00:38:30,560 --> 00:38:34,279
Speaker 1: a big issue. I did speak with Patricia Kramer, she

678
00:38:34,680 --> 00:38:38,359
Speaker 1: is a union rep for the very front front line

679
00:38:38,400 --> 00:38:41,480
Speaker 1: officers at the ports of entry. There was a lot

680
00:38:41,560 --> 00:38:43,879
Speaker 1: of concern and there still is a growing concern. It's

681
00:38:43,880 --> 00:38:46,600
Speaker 1: a story I'm actually working on right now that even

682
00:38:46,600 --> 00:38:49,200
Speaker 1: though people aren't allowed into the country, there's quite a

683
00:38:49,200 --> 00:38:53,439
Speaker 1: bit of traffic going into Mexico and then coming back in,

684
00:38:54,560 --> 00:38:58,480
Speaker 1: so they you know, they've been fighting fighting that, you know,

685
00:38:58,520 --> 00:39:01,640
Speaker 1: saying that their officers are being exposed. And as far

686
00:39:01,719 --> 00:39:05,319
Speaker 1: as you know, the suspension, the sixty day suspension of

687
00:39:05,360 --> 00:39:09,520
Speaker 1: immigration across the board, I think it's a vitally important

688
00:39:09,520 --> 00:39:14,839
Speaker 1: buck because you're looking at a number of issues here, economics,

689
00:39:14,840 --> 00:39:19,800
Speaker 1: exposure of our officers, the disease which is still rampant

690
00:39:19,800 --> 00:39:21,719
Speaker 1: and spreading in other parts of the world as well

691
00:39:21,719 --> 00:39:24,840
Speaker 1: as here in the United States, and people got to

692
00:39:24,880 --> 00:39:27,840
Speaker 1: get a grasp on this, and especially on the economic side.

693
00:39:27,880 --> 00:39:29,680
Speaker 1: You know, one of the biggest problems we have right

694
00:39:29,680 --> 00:39:31,799
Speaker 1: now is how are we going to get Americans back

695
00:39:31,800 --> 00:39:35,600
Speaker 1: into the workforce. Some of these businesses, especially small businesses,

696
00:39:35,640 --> 00:39:38,719
Speaker 1: have been lost now completely. We know that some of

697
00:39:38,719 --> 00:39:42,800
Speaker 1: these businesses are not coming back, and Americans need to

698
00:39:42,840 --> 00:39:45,640
Speaker 1: be the first in line to get the jobs. Once

699
00:39:45,719 --> 00:39:50,600
Speaker 1: the economy, which it will come back, you know, gets going,

700
00:39:50,800 --> 00:39:53,279
Speaker 1: we have to be able to get Americans back into

701
00:39:53,320 --> 00:39:56,880
Speaker 1: the workforce, get our economy pumping again like it was before.

702
00:39:57,239 --> 00:39:59,880
Speaker 1: The President's doing the right thing, and anyways, it's more

703
00:40:00,080 --> 00:40:02,360
Speaker 1: toorium right now. Is happening at a time when we

704
00:40:02,440 --> 00:40:05,520
Speaker 1: already have a moratorium on this, This just buys more

705
00:40:05,600 --> 00:40:08,920
Speaker 1: time for the administration and for the government to figure

706
00:40:08,920 --> 00:40:13,200
Speaker 1: out who and what needs to take priority, and that

707
00:40:13,360 --> 00:40:16,560
Speaker 1: of course is the American people and our law enforcement

708
00:40:16,600 --> 00:40:20,200
Speaker 1: officials on the front line. Did you see the mattel

709
00:40:20,239 --> 00:40:23,000
Speaker 1: In Albright. The mattel In Albright quote. You know, she's

710
00:40:23,040 --> 00:40:26,640
Speaker 1: been somebody who's very very friendly to you know, free

711
00:40:26,680 --> 00:40:29,000
Speaker 1: trade with China. That's actually not free trade. As we know,

712
00:40:29,120 --> 00:40:31,160
Speaker 1: she's been enriching herself for a long time on that one.

713
00:40:31,160 --> 00:40:32,680
Speaker 1: That people have been talking about that for the last

714
00:40:32,680 --> 00:40:35,680
Speaker 1: few days. But she said that it's almost like the

715
00:40:35,719 --> 00:40:39,160
Speaker 1: president wants to shut down the country and it's an

716
00:40:39,200 --> 00:40:42,279
Speaker 1: American about the border, and everyone's sitting around like, I

717
00:40:42,320 --> 00:40:46,800
Speaker 1: can't even leave my house, lady. The country is shut down.

718
00:40:46,680 --> 00:40:49,080
Speaker 1: The country is shut down, and this is the issue.

719
00:40:49,360 --> 00:40:52,240
Speaker 1: When people were still coming back and forth across the border,

720
00:40:52,320 --> 00:40:55,280
Speaker 1: and a lot of and believe me, this was happening

721
00:40:55,560 --> 00:40:58,759
Speaker 1: even under the president's directive. There were quite a few

722
00:40:58,760 --> 00:41:01,319
Speaker 1: supervisors on the front line and people were saying, well,

723
00:41:01,480 --> 00:41:03,799
Speaker 1: we're going to still let the traffic flow back and forth.

724
00:41:03,880 --> 00:41:05,920
Speaker 1: I did write a story on that where they were

725
00:41:05,960 --> 00:41:08,719
Speaker 1: coming back and forth. And then you have other officers

726
00:41:08,760 --> 00:41:11,080
Speaker 1: that are right there working the front line, saying, whoa wa,

727
00:41:11,120 --> 00:41:14,040
Speaker 1: wait a minute, why are we being exposed? If our

728
00:41:14,040 --> 00:41:17,080
Speaker 1: families are forced on lockdown, how can people come across

729
00:41:17,080 --> 00:41:20,240
Speaker 1: the border here to the United States to buy milk

730
00:41:20,840 --> 00:41:23,880
Speaker 1: or to visit family or vice versa. People leaving the

731
00:41:23,960 --> 00:41:26,879
Speaker 1: United States who have family in Mexico or who are

732
00:41:26,920 --> 00:41:30,319
Speaker 1: shopping in Mexico there. You just can't do that when

733
00:41:30,360 --> 00:41:34,879
Speaker 1: you're trying to stem an outbreak of this magnitude, especially

734
00:41:35,239 --> 00:41:37,960
Speaker 1: whether or not you know, the statistics are all right,

735
00:41:38,040 --> 00:41:40,600
Speaker 1: and you know, you and I have both pointed this out,

736
00:41:40,680 --> 00:41:43,640
Speaker 1: you know, on these random stats, whether or not that's happening.

737
00:41:43,680 --> 00:41:46,840
Speaker 1: The American people are on lockdown. I mean, I'm lucky

738
00:41:46,840 --> 00:41:49,600
Speaker 1: if I hit to Safeway every day, you know, to

739
00:41:49,640 --> 00:41:52,640
Speaker 1: go pick up groceries. That's my trip out of the house,

740
00:41:52,719 --> 00:41:56,720
Speaker 1: right and you know, sometimes walking with my daughter around

741
00:41:56,719 --> 00:42:01,080
Speaker 1: our neighborhood just to get exercise. So if we're on lockdown, well,

742
00:42:01,120 --> 00:42:03,719
Speaker 1: then why should we have our border wide open for

743
00:42:03,760 --> 00:42:06,360
Speaker 1: people to travel in and out. There is a reason

744
00:42:06,400 --> 00:42:09,919
Speaker 1: why this administration is doing that. It's smart and it's

745
00:42:10,120 --> 00:42:14,080
Speaker 1: it's actually beyond just the mitigation of the spread of

746
00:42:14,080 --> 00:42:16,719
Speaker 1: this disease. It's bringing us back to what we need

747
00:42:16,760 --> 00:42:21,360
Speaker 1: to do, and that has put Americans first economically that

748
00:42:21,480 --> 00:42:24,560
Speaker 1: we can move ahead. And if there is a place

749
00:42:24,680 --> 00:42:27,640
Speaker 1: and a time where we will be reopening the border,

750
00:42:27,960 --> 00:42:30,080
Speaker 1: there has to be priorities in place. And you know,

751
00:42:30,120 --> 00:42:33,640
Speaker 1: Madeline Albright has always been a globalist apologist, along with

752
00:42:33,760 --> 00:42:38,440
Speaker 1: quite a few other people. They definitely are the antithesis

753
00:42:38,680 --> 00:42:43,280
Speaker 1: to President Trump, directly opposite and is thinking of putting

754
00:42:43,280 --> 00:42:46,640
Speaker 1: America first. This is about globalism, and we have to

755
00:42:46,680 --> 00:42:50,160
Speaker 1: be very careful about, you know, people that really want

756
00:42:50,200 --> 00:42:54,640
Speaker 1: to push this global idea of you know, opening our borders.

757
00:42:55,320 --> 00:42:58,799
Speaker 1: You know past NAFTA deals, all of these Iran deals

758
00:42:58,800 --> 00:43:01,239
Speaker 1: that were so bad that President in Trunk basically just

759
00:43:01,600 --> 00:43:05,080
Speaker 1: eliminated and renegotiated. And he did that for a reason.

760
00:43:05,160 --> 00:43:07,520
Speaker 1: He did that to put the American worker first. And

761
00:43:07,680 --> 00:43:09,560
Speaker 1: we're speaking to Sarah Carter. If you have not already,

762
00:43:09,560 --> 00:43:11,680
Speaker 1: you should go to Sarah Acarter dot com. That's her

763
00:43:11,680 --> 00:43:15,080
Speaker 1: site where she's posting stories and including the investigative pieces

764
00:43:15,120 --> 00:43:20,000
Speaker 1: that often blow a huge hole in the deep state narrative,

765
00:43:20,120 --> 00:43:23,520
Speaker 1: especially around issues of Russia collusion and well the absence

766
00:43:23,520 --> 00:43:26,200
Speaker 1: of Russia collusion. But Sarah, before we moved, before we

767
00:43:26,200 --> 00:43:28,400
Speaker 1: moved to that topic and your your latest work on that,

768
00:43:28,400 --> 00:43:31,360
Speaker 1: because I know we have these footnotes declassified now that

769
00:43:31,400 --> 00:43:34,399
Speaker 1: we can see from the Inspector General report that are

770
00:43:34,480 --> 00:43:37,200
Speaker 1: some in a normal circumstance, if we didn't have a

771
00:43:37,200 --> 00:43:39,839
Speaker 1: global pandemic, everybody would be saying, wow, that's a big story.

772
00:43:39,880 --> 00:43:42,319
Speaker 1: But right now it's getting overshadowed as everything is. One

773
00:43:42,360 --> 00:43:47,279
Speaker 1: more on the coronavirus situation of Mexico where you were

774
00:43:47,280 --> 00:43:50,080
Speaker 1: talking about the border in our border security. Mexico has

775
00:43:50,120 --> 00:43:53,920
Speaker 1: not yet been hit that badly by COVID nineteen, but

776
00:43:53,960 --> 00:43:57,080
Speaker 1: as of today, there's all these reports that they I mean,

777
00:43:57,080 --> 00:44:02,120
Speaker 1: they've had Mexico City, for example, has had half of

778
00:44:02,200 --> 00:44:06,040
Speaker 1: Mexico's eight thousand, seven hundred seventy two cases, thirty five

779
00:44:06,080 --> 00:44:08,399
Speaker 1: percent of the seven hundred and twelve deaths. And now

780
00:44:08,400 --> 00:44:10,560
Speaker 1: Mexico's over one hundred million people. It's a large country.

781
00:44:10,560 --> 00:44:13,120
Speaker 1: They've had very few of these cases. Are they expecting

782
00:44:13,160 --> 00:44:15,680
Speaker 1: there to be a major spike and if that happens,

783
00:44:16,120 --> 00:44:18,160
Speaker 1: what is border patrol things going to happen on our end?

784
00:44:19,080 --> 00:44:21,560
Speaker 1: That's right, it's a great question, and it is something

785
00:44:21,680 --> 00:44:24,799
Speaker 1: that not only the medical community is looking at, but

786
00:44:24,920 --> 00:44:27,920
Speaker 1: I can tell you that you know, the intelligence community

787
00:44:28,040 --> 00:44:32,040
Speaker 1: is looking at and our law enforcement officials. It would

788
00:44:32,280 --> 00:44:35,080
Speaker 1: stand to reason, according to sources that I've spoken to,

789
00:44:35,400 --> 00:44:39,239
Speaker 1: that Mexico and Central America will see spikes in the

790
00:44:39,280 --> 00:44:43,400
Speaker 1: spread of COVID. Now, every nation is different, and how

791
00:44:43,440 --> 00:44:47,720
Speaker 1: they classify and can you know, get their statistics is different,

792
00:44:47,760 --> 00:44:50,560
Speaker 1: and also environments are different. So that is something that

793
00:44:50,560 --> 00:44:52,120
Speaker 1: they're going to be looking at whether or not the

794
00:44:52,600 --> 00:44:55,759
Speaker 1: warmer weather as summer comes around, will that mitigate the

795
00:44:55,840 --> 00:44:59,319
Speaker 1: spread of this virus. But remember, book, there will be

796
00:44:59,560 --> 00:45:02,960
Speaker 1: a two medical officials, a concern that there will be

797
00:45:03,000 --> 00:45:05,480
Speaker 1: a second wave, and a lot of people who have

798
00:45:05,520 --> 00:45:07,919
Speaker 1: been talking about, oh, coming up with a vaccine. Will

799
00:45:08,520 --> 00:45:10,759
Speaker 1: we have a vaccine in the future, Will that could

800
00:45:10,840 --> 00:45:13,680
Speaker 1: be years from now, that could be two to four

801
00:45:13,760 --> 00:45:17,000
Speaker 1: years from now, if they ever find a vaccine that

802
00:45:17,080 --> 00:45:19,719
Speaker 1: actually is really going to work against this because remember,

803
00:45:19,880 --> 00:45:25,240
Speaker 1: viruses and pathogens, they mutate, they change, and that's always

804
00:45:25,239 --> 00:45:27,560
Speaker 1: been the problem when we try to stay one step

805
00:45:27,600 --> 00:45:30,120
Speaker 1: ahead of the flu every year. You know, sometimes the

806
00:45:30,200 --> 00:45:34,800
Speaker 1: flu vaccines are effective, other times they're not effective. Because

807
00:45:34,840 --> 00:45:37,480
Speaker 1: that means there's a different strain of it coming around.

808
00:45:37,840 --> 00:45:39,640
Speaker 1: But I can tell you this talking to people in

809
00:45:39,640 --> 00:45:42,480
Speaker 1: Central America, this is a big, big concern for them.

810
00:45:42,520 --> 00:45:45,640
Speaker 1: I spend a lot of time in Guatemala. I know

811
00:45:45,680 --> 00:45:48,200
Speaker 1: a lot of the senior Guatemalan officials in the government

812
00:45:48,200 --> 00:45:51,319
Speaker 1: from the previous government of President Ruralis and some who

813
00:45:51,360 --> 00:45:55,000
Speaker 1: are currently in this new administration. They are watching it

814
00:45:55,120 --> 00:45:58,799
Speaker 1: very carefully. They're working very closely with US officials on

815
00:45:58,840 --> 00:46:02,720
Speaker 1: this and trying to monitor. But gosh, buck, you've traveled

816
00:46:02,760 --> 00:46:05,000
Speaker 1: to a lot of the similar places that I've traveled

817
00:46:05,000 --> 00:46:07,560
Speaker 1: to around the globe, and you know there's a lot

818
00:46:07,600 --> 00:46:10,920
Speaker 1: of areas of poverty in Central America as well, and

819
00:46:10,960 --> 00:46:16,600
Speaker 1: it's very very difficult to get the right medical officials

820
00:46:16,680 --> 00:46:19,759
Speaker 1: in those areas. It's very very difficult. And also, I

821
00:46:19,800 --> 00:46:23,000
Speaker 1: would have concerns that if you're going to have you know,

822
00:46:23,080 --> 00:46:26,560
Speaker 1: COVID nineteen and you have some of the economic devastation

823
00:46:27,000 --> 00:46:29,400
Speaker 1: that we've had in this country, if that starts to

824
00:46:29,600 --> 00:46:32,000
Speaker 1: filter you know, south of us, we can handle it

825
00:46:32,040 --> 00:46:35,040
Speaker 1: better certainly than those economies can. And the possible influx

826
00:46:35,160 --> 00:46:37,359
Speaker 1: of what you would what the you know, the left

827
00:46:37,400 --> 00:46:39,600
Speaker 1: will refer to them as COVID refugees, even though we

828
00:46:39,640 --> 00:46:42,279
Speaker 1: have COVID here that could very well becoming and I

829
00:46:42,360 --> 00:46:43,800
Speaker 1: think that's that's a concern that we all have to

830
00:46:43,880 --> 00:46:45,440
Speaker 1: keep an eye on. That's why the president shutting the

831
00:46:45,480 --> 00:46:49,360
Speaker 1: borders might be a prescient decision at this point, shutting

832
00:46:49,400 --> 00:46:52,640
Speaker 1: down immigration, I should say. But Sarah, also, just because

833
00:46:52,640 --> 00:46:54,080
Speaker 1: we've got we've got a few minutes for this one.

834
00:46:54,640 --> 00:46:59,080
Speaker 1: You've been following Crossfire, Hurricane, the FBI's bogus investigation into

835
00:46:59,080 --> 00:47:02,880
Speaker 1: President tromp or Russia collusion in the twenty sixteen election,

836
00:47:03,200 --> 00:47:04,960
Speaker 1: and there were some big stuff that came out on

837
00:47:05,000 --> 00:47:08,640
Speaker 1: the Inspector General Horowitz Report, new stuff from the footnotes

838
00:47:08,680 --> 00:47:10,560
Speaker 1: that are now declassified. What can you tell us about it?

839
00:47:11,400 --> 00:47:13,680
Speaker 1: I think this is probably some of the biggest news,

840
00:47:13,680 --> 00:47:16,920
Speaker 1: and unfortunately we're not seeing a lot of the major

841
00:47:17,000 --> 00:47:20,359
Speaker 1: news outlets report on this. The American people must be

842
00:47:20,800 --> 00:47:23,719
Speaker 1: informed about what happened here and these footnotes that were

843
00:47:23,719 --> 00:47:28,520
Speaker 1: declassified by Chuck Grassley and Ron Johnson, the senators that

844
00:47:28,520 --> 00:47:31,799
Speaker 1: have been investigating and really pushing for the DNI. That's

845
00:47:31,840 --> 00:47:35,239
Speaker 1: the director Acting Director of National Intelligence, Writt Grill, as

846
00:47:35,280 --> 00:47:39,400
Speaker 1: well as the Attorney General to declassify these footnotes basically

847
00:47:39,440 --> 00:47:44,120
Speaker 1: exposed in a nutshell that the FBI, senior members of

848
00:47:44,160 --> 00:47:47,279
Speaker 1: the FBI and the Crossfire Hurricane Team, as well as

849
00:47:47,719 --> 00:47:50,520
Speaker 1: I believe from what I'm hearing from my sources, other

850
00:47:50,600 --> 00:47:55,200
Speaker 1: members like John Brennan, James Clapper, former Obama officials knew

851
00:47:55,400 --> 00:48:00,120
Speaker 1: all along, knew all along book that this information is

852
00:48:00,239 --> 00:48:05,080
Speaker 1: Russian disinformation. Basically, what Christopher Steele put in his dodgy dossier,

853
00:48:05,200 --> 00:48:09,719
Speaker 1: the debunked dossier, was actually information supplied to him by

854
00:48:09,760 --> 00:48:15,279
Speaker 1: some Russian connected Kremlin sources that were putting disinformation into

855
00:48:15,280 --> 00:48:19,240
Speaker 1: the dossier to a harm President Trump and to harm

856
00:48:19,320 --> 00:48:23,160
Speaker 1: our elections, to harm our nation and to divide and

857
00:48:23,239 --> 00:48:27,560
Speaker 1: see a chaos. The question is, knowing that they knew this,

858
00:48:28,320 --> 00:48:30,719
Speaker 1: why did they continue to do it, and what is

859
00:48:30,760 --> 00:48:33,920
Speaker 1: their culpability in this? You know, from the beginning, I've

860
00:48:33,920 --> 00:48:37,160
Speaker 1: always said this appeared to be a soft coup from

861
00:48:37,600 --> 00:48:41,880
Speaker 1: senior Obama administration officials that did not want candidate Trump

862
00:48:41,920 --> 00:48:44,759
Speaker 1: to become president, and if he did, they wanted to

863
00:48:44,800 --> 00:48:47,400
Speaker 1: take him down. And more and more what we're seeing

864
00:48:47,560 --> 00:48:50,279
Speaker 1: is that they were very aware that they were the

865
00:48:50,280 --> 00:48:53,400
Speaker 1: ones actually colluding with Russia, that they were actually spreading

866
00:48:53,480 --> 00:48:56,719
Speaker 1: Russian disinformation and Jess as a footnote to all of that,

867
00:48:56,800 --> 00:49:00,759
Speaker 1: before you let me go, I spoke yesterday to Nigel West,

868
00:49:00,880 --> 00:49:06,120
Speaker 1: a former parliamentarian from great as well as an expert

869
00:49:06,160 --> 00:49:09,440
Speaker 1: on intelligence, written a number of books and did an

870
00:49:09,480 --> 00:49:14,360
Speaker 1: investigation into Christopher Stile back in twenty seventeen and what

871
00:49:14,640 --> 00:49:18,120
Speaker 1: he discovered from Christopher Stiele's report. And by the way,

872
00:49:18,120 --> 00:49:20,600
Speaker 1: this was somebody who was friends with Christopher Stiele, so

873
00:49:20,640 --> 00:49:23,000
Speaker 1: this isn't somebody who hated him by any means. This

874
00:49:23,160 --> 00:49:26,720
Speaker 1: is somebody who was asked to conduct an investigation. After

875
00:49:26,800 --> 00:49:30,360
Speaker 1: looking at Christopher Stile's numerous reports, because there were actually

876
00:49:30,440 --> 00:49:34,880
Speaker 1: seventeen reports that he actually did on the Trump administration,

877
00:49:36,040 --> 00:49:41,560
Speaker 1: he concluded that Christopher Stile made up the report that

878
00:49:41,680 --> 00:49:45,120
Speaker 1: he was basically this none of the report was actually

879
00:49:45,120 --> 00:49:47,160
Speaker 1: true in the intel business, so you know, we'd call

880
00:49:47,239 --> 00:49:50,440
Speaker 1: him a fabricator. He's a fabricator, a fabricator exactly that

881
00:49:50,520 --> 00:49:53,680
Speaker 1: he fabricated this report, which is really stunny. Now. He

882
00:49:53,760 --> 00:49:55,840
Speaker 1: may have had and according to others he did have

883
00:49:55,880 --> 00:49:59,239
Speaker 1: some connections to Russian sources, and he did, but the

884
00:49:59,320 --> 00:50:02,080
Speaker 1: thing was the way he described his sources. The way

885
00:50:02,120 --> 00:50:05,000
Speaker 1: he describes his sourcing, there was just no way he

886
00:50:05,040 --> 00:50:08,879
Speaker 1: could have had this information from any legitimate sources. So

887
00:50:09,280 --> 00:50:11,759
Speaker 1: what we see now is that Christopher SiO basically was

888
00:50:11,800 --> 00:50:14,120
Speaker 1: a fabricator and the information that he did put in

889
00:50:14,160 --> 00:50:17,560
Speaker 1: there that seemed the most salacious was just actually Russian

890
00:50:17,600 --> 00:50:22,680
Speaker 1: disinformation from Russian intelligence from their GRU and FSB. And

891
00:50:23,000 --> 00:50:26,120
Speaker 1: so if it looks like the Democrats themselves were the

892
00:50:26,160 --> 00:50:29,719
Speaker 1: ones that were duped by the Russians, and for those

893
00:50:29,760 --> 00:50:33,040
Speaker 1: that weren't duped, they should answer the question to the

894
00:50:33,080 --> 00:50:36,720
Speaker 1: Attorney General and to Prosecutor John Durham, if you knew

895
00:50:36,719 --> 00:50:40,600
Speaker 1: this was Russian disinformation, why did you assist in spreading it?

896
00:50:41,280 --> 00:50:44,160
Speaker 1: Sarah Carter, Everybody, Sarah, please stay on this story because

897
00:50:44,200 --> 00:50:47,520
Speaker 1: we're gonna need to find out what the resolution is here.

898
00:50:47,560 --> 00:50:49,680
Speaker 1: And if we don't keep the pressure on, we know

899
00:50:49,719 --> 00:50:52,600
Speaker 1: they're gonna You and I both know the old Potomac

900
00:50:52,600 --> 00:50:54,800
Speaker 1: two step. They'll sweep it under the rug unless folks

901
00:50:54,800 --> 00:50:56,239
Speaker 1: like you stay on it. So thank you for all

902
00:50:56,280 --> 00:50:58,759
Speaker 1: your work on that. Everyone should be following Sarah on

903
00:50:58,800 --> 00:51:02,200
Speaker 1: social media. Sarah Carter dot com is your website, Sarah,

904
00:51:02,280 --> 00:51:04,799
Speaker 1: thanks so much. Thanks so much, but great to be on.

905
00:51:07,560 --> 00:51:10,399
Speaker 1: You're in a freedom money. This is the Buck Sex

906
00:51:10,520 --> 00:51:17,680
Speaker 1: and Show podcast. It is happening in the context of

907
00:51:17,960 --> 00:51:21,279
Speaker 1: Congress having gone on recess for a month. We are

908
00:51:21,320 --> 00:51:25,520
Speaker 1: going to pass a small potatoes bill and then we

909
00:51:25,600 --> 00:51:30,399
Speaker 1: are talking about recessing again until May fourth, and if

910
00:51:30,440 --> 00:51:33,839
Speaker 1: we are going to bring every member or call back

911
00:51:33,960 --> 00:51:37,880
Speaker 1: almost every member who can back to DC to pass

912
00:51:37,920 --> 00:51:41,440
Speaker 1: a small incremental bill and with the knowledge that we

913
00:51:41,480 --> 00:51:44,560
Speaker 1: are not coming back until next month again, that's two

914
00:51:44,600 --> 00:51:48,160
Speaker 1: rent checks. And the last time we left again, we

915
00:51:48,320 --> 00:51:54,040
Speaker 1: lost over one nine eleven's worth of people due to

916
00:51:54,120 --> 00:51:59,520
Speaker 1: this lack of action. We lost a nine elevens worth

917
00:51:59,520 --> 00:52:03,600
Speaker 1: of people to lack of action. How that's quite a

918
00:52:03,840 --> 00:52:06,799
Speaker 1: thing to say. And that's AOC as you know, the

919
00:52:07,400 --> 00:52:11,200
Speaker 1: favorite young member of Congress for the for the left,

920
00:52:11,719 --> 00:52:13,960
Speaker 1: and they've realized, you know, Bernie Sanders, Folks, you're not

921
00:52:13,960 --> 00:52:16,080
Speaker 1: going to be hearing much more about that guy much longer.

922
00:52:16,280 --> 00:52:18,680
Speaker 1: You know Bernie Sanders. You know, he had he had

923
00:52:18,719 --> 00:52:21,520
Speaker 1: his several runs at the Office of the Presidency, and

924
00:52:21,520 --> 00:52:24,120
Speaker 1: it's not going to happen. They're going to have to

925
00:52:24,120 --> 00:52:27,680
Speaker 1: start looking to build the next generation of left wing

926
00:52:27,840 --> 00:52:31,600
Speaker 1: statuss and build, build them up, and AOC is certainly

927
00:52:32,280 --> 00:52:33,880
Speaker 1: very close to the top of that list, if not

928
00:52:33,920 --> 00:52:36,160
Speaker 1: already at the top of that list. But notice the

929
00:52:36,239 --> 00:52:38,240
Speaker 1: language being used here. I mean, I think it's important

930
00:52:38,280 --> 00:52:41,760
Speaker 1: to drop in on the progressives in Congress to understand

931
00:52:41,800 --> 00:52:46,800
Speaker 1: what the longer term game is. A small potatoes bill. Now,

932
00:52:47,160 --> 00:52:50,399
Speaker 1: I'm willing to to say that, clearly they didn't lay

933
00:52:50,400 --> 00:52:52,480
Speaker 1: out enough money. Everyone knows this, that's why they had

934
00:52:52,520 --> 00:52:55,560
Speaker 1: to then. But when we're going to start referring to

935
00:52:55,920 --> 00:52:58,520
Speaker 1: five hundred or so, I think it's four hundred and

936
00:52:58,560 --> 00:53:01,399
Speaker 1: eighty something was the actual, but close to a half

937
00:53:01,400 --> 00:53:05,600
Speaker 1: a trillion dollars of short term spending as a small

938
00:53:05,800 --> 00:53:10,640
Speaker 1: potatoes bill, it's clear that we have lost all sense

939
00:53:10,840 --> 00:53:16,759
Speaker 1: of proportion and also are very kind of blithely gliding

940
00:53:17,480 --> 00:53:23,360
Speaker 1: toward real economic catastrophe. If half a trillion dollars of

941
00:53:23,400 --> 00:53:27,560
Speaker 1: spending could be described by anybody as small potatoes, we

942
00:53:27,680 --> 00:53:31,759
Speaker 1: got big problems. And the Democrats along are seeing this

943
00:53:31,840 --> 00:53:34,640
Speaker 1: as no matter what happens with the spending, this is

944
00:53:34,640 --> 00:53:37,880
Speaker 1: an opportunity. This is setting the stage going forward for

945
00:53:38,000 --> 00:53:42,320
Speaker 1: a whole lot more spending. The ramifications of this, my friends,

946
00:53:42,360 --> 00:53:45,760
Speaker 1: on a policy level, will last well beyond this virus.

947
00:53:45,760 --> 00:53:47,520
Speaker 1: And that's even if the virus stretches to be a

948
00:53:47,920 --> 00:53:51,040
Speaker 1: menace for a couple of years. Thanks for listening to

949
00:53:51,080 --> 00:53:55,360
Speaker 1: the bus seton show podcasts. Remember to subscribe on Apple podcasts,

950
00:53:55,560 --> 00:53:58,719
Speaker 1: the iHeart Radio app, or wherever you get your podcasts.

951
00:53:59,719 --> 00:54:02,840
Speaker 1: No amount of money, not all the money in China

952
00:54:03,080 --> 00:54:06,480
Speaker 1: will save us from ourselves. Our only hope of rescuing

953
00:54:06,480 --> 00:54:09,360
Speaker 1: this great country is to reopen the economy. If you

954
00:54:09,480 --> 00:54:11,880
Speaker 1: print up billions of dollars and give it to people,

955
00:54:12,360 --> 00:54:15,759
Speaker 1: they are unlikely to spend it until you end the quarantine.

956
00:54:16,320 --> 00:54:19,760
Speaker 1: The good news, though, is that the scientific community finally

957
00:54:19,800 --> 00:54:23,560
Speaker 1: has facts instead of conjecture. The question. The question before

958
00:54:23,640 --> 00:54:28,040
Speaker 1: us isn't do nothing or print endless amounts of bailout cash.

959
00:54:28,280 --> 00:54:31,879
Speaker 1: The debate should now include the one choice that we'll

960
00:54:31,880 --> 00:54:37,240
Speaker 1: get our economy growing again, reopening American commerce. We need

961
00:54:37,800 --> 00:54:41,680
Speaker 1: to heed the senator's words here, you Rampaul's of one

962
00:54:41,680 --> 00:54:43,719
Speaker 1: of these guys you know when you need them, you

963
00:54:43,800 --> 00:54:46,160
Speaker 1: really need them. And I think that ran Paul, and

964
00:54:46,400 --> 00:54:51,919
Speaker 1: I've always thought that his political skills weren't as far

965
00:54:51,960 --> 00:54:55,759
Speaker 1: along as as his knowledge of political theory, and I

966
00:54:56,040 --> 00:54:58,600
Speaker 1: do believe he's a principled guy in his approach to

967
00:54:58,640 --> 00:55:02,600
Speaker 1: politics too, uh that that he does his beliefs matter

968
00:55:03,200 --> 00:55:05,760
Speaker 1: in the exercise of his of his job as a centator,

969
00:55:05,800 --> 00:55:08,080
Speaker 1: which makes me also think that he'd be he I

970
00:55:08,080 --> 00:55:09,759
Speaker 1: think he'd be a pretty good president. I know people

971
00:55:09,800 --> 00:55:11,480
Speaker 1: don't think so. I think he'd actually be. He wouldn't

972
00:55:11,520 --> 00:55:14,960
Speaker 1: bother you. You wouldn't have people getting, you know, pulled

973
00:55:14,960 --> 00:55:18,000
Speaker 1: off of subway subway cars because I don't have a

974
00:55:18,000 --> 00:55:21,160
Speaker 1: face mask on, although that's a state issue. Not trying

975
00:55:21,160 --> 00:55:23,960
Speaker 1: to not trying to, you know, take a cheap, cheap

976
00:55:24,000 --> 00:55:26,000
Speaker 1: shot at our current president. But I'm just saying, you know,

977
00:55:26,280 --> 00:55:28,320
Speaker 1: he's he's a guy who does believe in liberty and freedom,

978
00:55:28,360 --> 00:55:31,480
Speaker 1: and he also understands because of what he knows, but

979
00:55:31,520 --> 00:55:36,120
Speaker 1: also the legacy of his father, doctor Ron Paul. Um.

980
00:55:36,320 --> 00:55:41,160
Speaker 1: You know, he understands that this that this amount of

981
00:55:41,560 --> 00:55:44,160
Speaker 1: By the way, it's doctor Ron Paul. I know Rand's

982
00:55:44,160 --> 00:55:47,200
Speaker 1: an optimologist, producer, Mark isn't is Ron Paul a doctor?

983
00:55:47,200 --> 00:55:51,840
Speaker 1: Two m I imagining that I gotta gosh, sometimes I

984
00:55:52,520 --> 00:55:56,560
Speaker 1: so much so much information, thank you. He was a physician.

985
00:55:56,600 --> 00:55:58,760
Speaker 1: I thought so so he's doctor. He's a real doctor,

986
00:55:58,960 --> 00:56:02,880
Speaker 1: not a doctor Jill by doctor, a PhD in education.

987
00:56:03,640 --> 00:56:07,480
Speaker 1: New dood dud dudo. We're not good to call you

988
00:56:08,400 --> 00:56:13,359
Speaker 1: doctor Jill Biden because of your PhD in education. Where

989
00:56:13,400 --> 00:56:15,080
Speaker 1: were we on this? Yes, Rand Paul saying we have

990
00:56:15,120 --> 00:56:18,800
Speaker 1: to reopen the economy. The projections of what starts to

991
00:56:18,880 --> 00:56:20,879
Speaker 1: happen if we continue to spend money at this rate,

992
00:56:20,920 --> 00:56:23,799
Speaker 1: and really, I shouldn't say spend money, print money, that's

993
00:56:23,840 --> 00:56:26,720
Speaker 1: the issue. I think a lot of people, and I've

994
00:56:26,760 --> 00:56:28,840
Speaker 1: seen some analysis from Wall Street on this, a lot

995
00:56:28,920 --> 00:56:33,160
Speaker 1: of people recognize that we are that those who can

996
00:56:34,000 --> 00:56:36,600
Speaker 1: are sitting on the sidelines, not spending money and not

997
00:56:36,719 --> 00:56:39,520
Speaker 1: investing because of the great degree of uncertainty right now.

998
00:56:40,440 --> 00:56:43,560
Speaker 1: And those who are in a tough position, they're spending

999
00:56:43,600 --> 00:56:45,800
Speaker 1: the money very quickly to the government's giving them because

1000
00:56:45,880 --> 00:56:50,080
Speaker 1: they have no choice and it's coming up short. They

1001
00:56:50,120 --> 00:56:51,880
Speaker 1: don't have enough cash. That's twelve hundred dollars is not

1002
00:56:51,920 --> 00:56:55,440
Speaker 1: going to last people. Reopening the economy is going to

1003
00:56:55,600 --> 00:57:01,920
Speaker 1: be a very complicated, very challenging PSS. And that's assuming

1004
00:57:02,000 --> 00:57:04,560
Speaker 1: that we're all operating from the good faith position of

1005
00:57:04,719 --> 00:57:07,480
Speaker 1: what's best for the United States, what's best for the

1006
00:57:07,600 --> 00:57:12,840
Speaker 1: country as a whole. We have to reckon with the

1007
00:57:12,960 --> 00:57:15,839
Speaker 1: truth that there are people right now who I think

1008
00:57:15,880 --> 00:57:18,880
Speaker 1: in their mind they separate out. You know, they'd say, oh,

1009
00:57:19,160 --> 00:57:23,000
Speaker 1: I want all life to be protected from COVID nineteen,

1010
00:57:24,000 --> 00:57:29,760
Speaker 1: but if the economy needs to be if the economy

1011
00:57:29,880 --> 00:57:33,520
Speaker 1: needs to be a little bit beat up a little

1012
00:57:33,560 --> 00:57:37,479
Speaker 1: bit longer so that Donald Trump loses the election, they're

1013
00:57:37,520 --> 00:57:39,800
Speaker 1: okay with that. So this is where you're going to

1014
00:57:39,840 --> 00:57:44,960
Speaker 1: see this fight because that desire to do everything possible,

1015
00:57:45,040 --> 00:57:47,160
Speaker 1: as they say, if it saves one life, that theory,

1016
00:57:47,200 --> 00:57:49,880
Speaker 1: if it saves one life, it should be done. That

1017
00:57:49,960 --> 00:57:53,160
Speaker 1: will be used to shout down anyone who's pushing for reopening.

1018
00:57:53,600 --> 00:57:57,280
Speaker 1: And there's another another concern he or another problem that

1019
00:57:58,280 --> 00:58:01,000
Speaker 1: a lot of the political debate obscures right now, and

1020
00:58:01,080 --> 00:58:06,000
Speaker 1: that is if some states do open with the more

1021
00:58:07,040 --> 00:58:09,960
Speaker 1: limited mitigation measures. Remember, no state is going back to

1022
00:58:10,080 --> 00:58:13,720
Speaker 1: totally normal. But if some states open with these mitigation

1023
00:58:13,800 --> 00:58:16,720
Speaker 1: measures in place and they don't have a spike, what then,

1024
00:58:17,480 --> 00:58:21,440
Speaker 1: why do we need all fifty states effectively all fifty

1025
00:58:21,440 --> 00:58:23,800
Speaker 1: I think it's maybe forty seven or forty eight technically,

1026
00:58:23,800 --> 00:58:24,920
Speaker 1: But why do we need all these states to have

1027
00:58:25,000 --> 00:58:28,120
Speaker 1: the shutdown orders. Why is over ninety percent of America

1028
00:58:28,160 --> 00:58:32,520
Speaker 1: told stay home, it can't go outside? Does does anyone

1029
00:58:32,600 --> 00:58:35,000
Speaker 1: find an easy justification for that? If in fact it

1030
00:58:35,040 --> 00:58:36,840
Speaker 1: seems that states are able to control this on their

1031
00:58:36,880 --> 00:58:40,880
Speaker 1: own with much less severe mitigation measures, that's going to

1032
00:58:40,920 --> 00:58:43,920
Speaker 1: be a whole debate. It will also then indicate that

1033
00:58:44,160 --> 00:58:47,520
Speaker 1: the blame Trump campaign because he did not order the

1034
00:58:47,600 --> 00:58:52,000
Speaker 1: federal shutdown fast enough, may not have any any data,

1035
00:58:52,040 --> 00:58:54,360
Speaker 1: any merit behind him. Put aside that everybody got this

1036
00:58:54,440 --> 00:58:57,640
Speaker 1: thing wrong and nobody really knew. But if states were

1037
00:58:57,720 --> 00:59:01,440
Speaker 1: able to on their own gage in mitigation measures that

1038
00:59:01,480 --> 00:59:04,120
Speaker 1: would control the virus as it continues to be a

1039
00:59:04,160 --> 00:59:06,680
Speaker 1: threat and continues to spread, which it will. I mean,

1040
00:59:06,760 --> 00:59:08,400
Speaker 1: doctor Burke said it at the top of the show.

1041
00:59:08,440 --> 00:59:10,040
Speaker 1: We all know there's going to be more. There are

1042
00:59:10,080 --> 00:59:12,080
Speaker 1: going to be more covid cas. There's no way around it.

1043
00:59:13,120 --> 00:59:15,880
Speaker 1: But if it's not an overwhelming problem, and if the

1044
00:59:15,920 --> 00:59:20,520
Speaker 1: loss of life is not something that society cannot sustain, right,

1045
00:59:21,080 --> 00:59:22,760
Speaker 1: then everyone's going to turn around and say, we'll hold

1046
00:59:22,800 --> 00:59:25,240
Speaker 1: on a second. Was what was going on here with

1047
00:59:25,440 --> 00:59:29,600
Speaker 1: these what was going on with this declaration? From on

1048
00:59:29,720 --> 00:59:31,680
Speaker 1: high that we have to have the shutdown, and then

1049
00:59:31,680 --> 00:59:35,160
Speaker 1: everyone's going to look at the pain, the alcoholism, the

1050
00:59:35,240 --> 00:59:38,040
Speaker 1: child abused, the loss of jobs, the loss of livelihoods,

1051
00:59:38,080 --> 00:59:42,880
Speaker 1: the destruction of businesses, the anxiety, the psychological pain, the depression,

1052
00:59:42,920 --> 00:59:46,080
Speaker 1: the durest that we're all under. And we were told

1053
00:59:46,280 --> 00:59:48,080
Speaker 1: was for our own good. Remember, we're told was for

1054
00:59:48,120 --> 00:59:50,560
Speaker 1: our own good. There's going to be a moment of

1055
00:59:50,640 --> 00:59:54,280
Speaker 1: reckoning for all of that. They keep trying to tell

1056
00:59:54,400 --> 00:59:58,560
Speaker 1: you that the Swedish model is a disaster. It's not.

1057
00:59:59,400 --> 01:00:03,600
Speaker 1: It's just not true. They keep trying to tell you

1058
01:00:04,320 --> 01:00:07,160
Speaker 1: that we shouldn't look to other countries that did not

1059
01:00:07,240 --> 01:00:09,640
Speaker 1: shut down. To Japan shutdown its whole economy, No, it

1060
01:00:09,760 --> 01:00:14,200
Speaker 1: did not. Why The only answer, we were led to believe,

1061
01:00:14,240 --> 01:00:18,600
Speaker 1: the only answer, unless you wanted just bodies in the streets,

1062
01:00:18,840 --> 01:00:23,439
Speaker 1: millions of people dead, The only answer was to shut

1063
01:00:23,480 --> 01:00:25,920
Speaker 1: down the entire eclome the first time in history that

1064
01:00:26,000 --> 01:00:29,120
Speaker 1: the United States has voluntarily decided to shutdown its economy.

1065
01:00:29,200 --> 01:00:30,800
Speaker 1: We do not do this during wars, we do not

1066
01:00:30,880 --> 01:00:34,240
Speaker 1: do this during previous pandemics. And this is what our

1067
01:00:34,280 --> 01:00:37,680
Speaker 1: policy community settled on as the answer here, and it

1068
01:00:37,800 --> 01:00:40,160
Speaker 1: wasn't member, It wasn't just the They got us going

1069
01:00:40,200 --> 01:00:42,120
Speaker 1: with a two weeks shutdown, then they extended another month.

1070
01:00:43,920 --> 01:00:47,120
Speaker 1: Six weeks have shutdown. Huh, And then we get to

1071
01:00:47,280 --> 01:00:51,560
Speaker 1: what do we do with the second wave, the second

1072
01:00:51,640 --> 01:00:56,440
Speaker 1: wave that may come. Everyone right now is trying to

1073
01:00:56,720 --> 01:00:58,800
Speaker 1: see the future about how bad this will be coming

1074
01:00:58,840 --> 01:01:01,160
Speaker 1: back in the fall, and we don't know certain things

1075
01:01:01,200 --> 01:01:02,560
Speaker 1: and no one's going to know them right now, like

1076
01:01:02,680 --> 01:01:05,160
Speaker 1: will we have better therapeutics, Will we be in a

1077
01:01:05,240 --> 01:01:07,600
Speaker 1: stronger position to fight the virus then than we are

1078
01:01:07,680 --> 01:01:10,080
Speaker 1: now based on the tools that we have. There's so

1079
01:01:10,280 --> 01:01:14,600
Speaker 1: much focus on testing. Where will our testing be at

1080
01:01:14,640 --> 01:01:17,400
Speaker 1: that point? Now, Remember, as I've said to you, by

1081
01:01:17,440 --> 01:01:19,360
Speaker 1: the time that you know, no matter how good we

1082
01:01:19,440 --> 01:01:21,800
Speaker 1: think the testing gets, testing trace is going to be imperfect,

1083
01:01:21,840 --> 01:01:24,880
Speaker 1: which means there will be spread of this disease. It'll

1084
01:01:24,880 --> 01:01:28,680
Speaker 1: hopefully be a containable situation. But let's understand that even

1085
01:01:28,760 --> 01:01:33,240
Speaker 1: the people that are yelling testing, testing, testing, they accept

1086
01:01:33,800 --> 01:01:36,640
Speaker 1: implicitly that there will be some trade offs here, which

1087
01:01:36,640 --> 01:01:38,200
Speaker 1: means there will there will be people who die from

1088
01:01:38,240 --> 01:01:40,560
Speaker 1: this virus because of the reopening. Even if we get

1089
01:01:40,600 --> 01:01:45,240
Speaker 1: to the testing levels that they declare are completely necessary.

1090
01:01:46,480 --> 01:01:51,120
Speaker 1: And you know, Nancy Pelosi, never helpful in any of

1091
01:01:51,160 --> 01:01:55,600
Speaker 1: these discussions, keeps on. She keeps repeating this mantra about science,

1092
01:01:55,720 --> 01:01:59,240
Speaker 1: as if that's an answer to what the science says,

1093
01:01:59,320 --> 01:02:03,120
Speaker 1: what exactly right? Now? Shut down forever. This is not

1094
01:02:03,240 --> 01:02:07,440
Speaker 1: a scientific only question. This is also a deeply political

1095
01:02:07,520 --> 01:02:10,440
Speaker 1: question that goes to individual rights and freedoms and the Constitution.

1096
01:02:11,840 --> 01:02:16,480
Speaker 1: Here's what Pelosi says, though nonetheless play six there's a

1097
01:02:16,560 --> 01:02:22,240
Speaker 1: voice scout saying preparation prevents poor performance. Well, that was

1098
01:02:22,360 --> 01:02:25,440
Speaker 1: exactly where the president gets an f He was not

1099
01:02:25,600 --> 01:02:29,000
Speaker 1: properly prepared, not with the truth, with the facts, or

1100
01:02:29,080 --> 01:02:32,920
Speaker 1: the admission of what was happening in our country, delay

1101
01:02:34,280 --> 01:02:38,840
Speaker 1: whatever its delay, denial death. Instead, we'd like him to

1102
01:02:38,960 --> 01:02:42,440
Speaker 1: see him insist on the truth, and we must insist

1103
01:02:42,600 --> 01:02:45,840
Speaker 1: on the truth with him, and that is really what

1104
01:02:45,920 --> 01:02:49,680
Speaker 1: should give us hope if he finally never too late.

1105
01:02:50,440 --> 01:02:52,520
Speaker 1: It's never too late, as I keep saying, to tell

1106
01:02:52,560 --> 01:02:55,720
Speaker 1: the truth, mister president, and it's never too late to

1107
01:02:55,880 --> 01:02:59,960
Speaker 1: do the right thing, and to pay attention to science. Science,

1108
01:03:00,040 --> 01:03:04,240
Speaker 1: it's science and science. This is really what liberals have

1109
01:03:04,320 --> 01:03:08,680
Speaker 1: been reduced to, testing, testing, testing, sied sied science just

1110
01:03:08,800 --> 01:03:13,760
Speaker 1: repeating words that they think make them sound smart. You know,

1111
01:03:13,920 --> 01:03:15,640
Speaker 1: this is a little bit like the reduction they do

1112
01:03:15,760 --> 01:03:18,560
Speaker 1: about much more complicated issues like climate change. For example,

1113
01:03:18,600 --> 01:03:21,200
Speaker 1: do you believe in climate change? It's a stupid question,

1114
01:03:21,280 --> 01:03:23,240
Speaker 1: but people ask it all the time. What does it

1115
01:03:23,320 --> 01:03:27,320
Speaker 1: even mean? Do I believe in climate change that is

1116
01:03:28,120 --> 01:03:30,960
Speaker 1: real but not particularly important? Do I believe in climate

1117
01:03:31,080 --> 01:03:34,760
Speaker 1: change that would justify the shutdown of the global economy

1118
01:03:34,760 --> 01:03:37,960
Speaker 1: in order to save the planet. Think of the span there.

1119
01:03:38,040 --> 01:03:39,920
Speaker 1: You know, this is like some of the modeling and

1120
01:03:40,040 --> 01:03:42,040
Speaker 1: oh my gosh, I'm gonna have to dig more into

1121
01:03:42,080 --> 01:03:44,000
Speaker 1: the models of the path. It's not just that we've

1122
01:03:44,040 --> 01:03:48,560
Speaker 1: gotten the wrong models for disease right now with the

1123
01:03:48,640 --> 01:03:52,120
Speaker 1: COVID nineteen pandemic, the models stretching the models for ebola

1124
01:03:52,240 --> 01:03:55,680
Speaker 1: were terribly wrong. The models for stars were terribly wrong.

1125
01:03:56,200 --> 01:03:59,560
Speaker 1: Just go back. The models for initial HIV infections were

1126
01:04:00,520 --> 01:04:03,040
Speaker 1: very wrong. I mean, they're just the models for the

1127
01:04:03,160 --> 01:04:06,640
Speaker 1: Earth and the early stages of a disease are almost useless.

1128
01:04:06,840 --> 01:04:09,640
Speaker 1: It's like someone who gives you a range, you know,

1129
01:04:09,960 --> 01:04:13,640
Speaker 1: a range of well, you know, the stock market. I'm

1130
01:04:13,760 --> 01:04:16,040
Speaker 1: I'm predicting confidently. And I'm going to look you in

1131
01:04:16,080 --> 01:04:18,000
Speaker 1: the eyes right now, America, and I'm gonna tell you this.

1132
01:04:18,040 --> 01:04:21,000
Speaker 1: I'm gonna predict the stock market that the Dow will

1133
01:04:21,040 --> 01:04:26,040
Speaker 1: be somewhere between five thousand and thirty five thousand over

1134
01:04:26,080 --> 01:04:28,080
Speaker 1: the next six months. That's right. You can take that

1135
01:04:28,160 --> 01:04:32,760
Speaker 1: to the bank. Is that a helpful prediction? Does that

1136
01:04:32,880 --> 01:04:35,160
Speaker 1: tell you how you could manage your money? And what

1137
01:04:35,280 --> 01:04:39,439
Speaker 1: sort of risks you'd be willing to take that would

1138
01:04:39,480 --> 01:04:42,919
Speaker 1: five thousand things are very bad? That would thirty five

1139
01:04:42,960 --> 01:04:45,560
Speaker 1: thousand things are fantastic. We must have found a cure

1140
01:04:45,640 --> 01:04:49,240
Speaker 1: to this, miraculous right. But that's what you see with

1141
01:04:49,480 --> 01:04:55,520
Speaker 1: these disease these disease spread models that the pandemic preparedness

1142
01:04:55,520 --> 01:04:59,400
Speaker 1: community relies on, and it does very much affect the

1143
01:04:59,520 --> 01:05:01,760
Speaker 1: decision that we've had about how quickly we're willing to

1144
01:05:01,760 --> 01:05:04,320
Speaker 1: struct to reopen businesses. And that then brings me to

1145
01:05:04,560 --> 01:05:06,800
Speaker 1: some of the impediments that we see to the reopening

1146
01:05:06,840 --> 01:05:10,320
Speaker 1: of businesses that we've we've known they're real, we've known

1147
01:05:10,360 --> 01:05:14,120
Speaker 1: they're going to happen, but now it is. Now it

1148
01:05:14,280 --> 01:05:17,480
Speaker 1: is becoming apparent from from what's actually happening on the

1149
01:05:17,560 --> 01:05:21,120
Speaker 1: ground in states across the country. What happens to a

1150
01:05:21,200 --> 01:05:23,960
Speaker 1: restaurant now, even if they want to bring people back,

1151
01:05:24,120 --> 01:05:28,919
Speaker 1: I'll walk you through that. You're in the freedom hunt.

1152
01:05:29,360 --> 01:05:36,120
Speaker 1: This is the Buck Sexton Show podcast. I Miss McConnell

1153
01:05:36,160 --> 01:05:38,680
Speaker 1: likes to say we delayed the bill. No, heat delayed

1154
01:05:38,840 --> 01:05:42,760
Speaker 1: the bill a two weeks ago. He came to the

1155
01:05:42,840 --> 01:05:46,120
Speaker 1: floor and said, this is all we're doing, just the

1156
01:05:46,200 --> 01:05:50,400
Speaker 1: two fifty and that Democrats were reunited House and Senate.

1157
01:05:50,760 --> 01:05:54,120
Speaker 1: The Senate Democrats went to the floor and said no, no,

1158
01:05:54,360 --> 01:05:59,520
Speaker 1: that that we have a better idea about hospitals and testing,

1159
01:06:00,040 --> 01:06:03,840
Speaker 1: and more funds for all of the businesses, the low

1160
01:06:03,920 --> 01:06:08,760
Speaker 1: lower shall we say, the unbankable small businesses. So we're

1161
01:06:08,920 --> 01:06:12,840
Speaker 1: very pleased that he finally came around to the fact

1162
01:06:12,920 --> 01:06:15,640
Speaker 1: that we had to go forward with this. So he

1163
01:06:15,840 --> 01:06:18,400
Speaker 1: was the one wasting time. I say that because I

1164
01:06:18,520 --> 01:06:21,560
Speaker 1: keep hearing him say, are we delayed? No, he delayed.

1165
01:06:22,480 --> 01:06:26,520
Speaker 1: Total rewriting of history from you know, wine cooler Pelosi

1166
01:06:26,640 --> 01:06:29,440
Speaker 1: over here, I mean, just total crap from her. We

1167
01:06:29,560 --> 01:06:31,360
Speaker 1: all know. And the media, lets are get away with it.

1168
01:06:31,520 --> 01:06:34,360
Speaker 1: They just they pretend, oh there speak truth to power.

1169
01:06:34,440 --> 01:06:38,920
Speaker 1: The guardians of our democracy, the journals. You know, the

1170
01:06:39,080 --> 01:06:44,400
Speaker 1: fourth or state. Please, they're the worst, the worst. We

1171
01:06:44,520 --> 01:06:46,960
Speaker 1: all know that Pelosi was playing games. Everybody knew Pelosi

1172
01:06:47,120 --> 01:06:49,360
Speaker 1: was playing games. No one says that they're not gonna

1173
01:06:49,600 --> 01:06:52,960
Speaker 1: have There's not a willingness to try to help out hospitals.

1174
01:06:53,040 --> 01:06:56,480
Speaker 1: You look, part of the shutdown problem here. Part of

1175
01:06:56,560 --> 01:06:59,800
Speaker 1: the issue is that hospitals are going bankrupt now, folks.

1176
01:07:00,240 --> 01:07:03,840
Speaker 1: People can't get normal care, and hospitals are going bankrupt

1177
01:07:03,880 --> 01:07:06,439
Speaker 1: all across the country with each passing day. They're going

1178
01:07:06,520 --> 01:07:12,280
Speaker 1: under because of the cessation of elective procedures, which when

1179
01:07:12,280 --> 01:07:14,560
Speaker 1: you when you look at the whole scope of elective procedures,

1180
01:07:14,640 --> 01:07:17,360
Speaker 1: some of them are not really that elective. They're pretty important,

1181
01:07:17,400 --> 01:07:23,080
Speaker 1: pretty urgent. But also a lot of preventative medicine wont

1182
01:07:23,160 --> 01:07:25,840
Speaker 1: has not been occurring. I mean, just I don't even

1183
01:07:25,880 --> 01:07:27,520
Speaker 1: want to think about this, but I do think we

1184
01:07:27,680 --> 01:07:29,640
Speaker 1: have to keep it somewhere somewhere in the back of

1185
01:07:29,720 --> 01:07:32,760
Speaker 1: our minds. Think of all the cancer screenings, all the mammograms,

1186
01:07:32,840 --> 01:07:37,640
Speaker 1: all the all the analysis for early stage prostate cancer,

1187
01:07:37,720 --> 01:07:39,800
Speaker 1: all these things. I mean, here's a perfe example. I

1188
01:07:39,920 --> 01:07:41,960
Speaker 1: haven't gone to the doctor. I mean, I haven't gone

1189
01:07:41,960 --> 01:07:43,760
Speaker 1: to the barber. But I haven't gone to the doctor

1190
01:07:43,840 --> 01:07:46,600
Speaker 1: this year to get to get checked out and have

1191
01:07:46,720 --> 01:07:48,640
Speaker 1: my physical and I don't know when that's going to happen.

1192
01:07:49,080 --> 01:07:50,840
Speaker 1: And now you might say, well, I'm a relatively young,

1193
01:07:50,880 --> 01:07:52,680
Speaker 1: healthy guy, and so it shouldn't be a big deal.

1194
01:07:52,840 --> 01:07:54,720
Speaker 1: Well what if I don't get to go for six

1195
01:07:54,800 --> 01:07:56,240
Speaker 1: months and I do find out that I got something

1196
01:07:56,280 --> 01:07:58,600
Speaker 1: that is a big deal. Now it's not just oh

1197
01:07:58,680 --> 01:08:02,320
Speaker 1: look at me, it's extraplate the circumstance that each individual

1198
01:08:02,520 --> 01:08:05,320
Speaker 1: is dealing with over three hundred and twenty million people.

1199
01:08:05,840 --> 01:08:08,840
Speaker 1: And then started thinking, okay, well, how many you know,

1200
01:08:09,120 --> 01:08:13,000
Speaker 1: serious diseases are being missed in this period and it's

1201
01:08:13,080 --> 01:08:15,760
Speaker 1: not going to end anytime soon, right the shutdowns in

1202
01:08:15,840 --> 01:08:18,000
Speaker 1: these hospitals, they're just beginning to get up to speed,

1203
01:08:18,600 --> 01:08:21,160
Speaker 1: and it's been now you know, it'll be easily six

1204
01:08:21,240 --> 01:08:25,679
Speaker 1: weeks going on two months of just missed medical medical

1205
01:08:26,040 --> 01:08:29,560
Speaker 1: action other than dealing with COVID nineteen everything else. But

1206
01:08:29,600 --> 01:08:31,360
Speaker 1: people still have heart attack. There's a lot of really

1207
01:08:31,400 --> 01:08:33,360
Speaker 1: bad diseases and things out there that people as we

1208
01:08:33,400 --> 01:08:36,080
Speaker 1: had owe heart disease and cancer and lung cancer and

1209
01:08:36,160 --> 01:08:39,120
Speaker 1: all these things. Those still very much exist and are

1210
01:08:39,200 --> 01:08:44,640
Speaker 1: killing people. And we've effectively said, you know, the preventative

1211
01:08:44,720 --> 01:08:47,760
Speaker 1: measures that we can take in hospitals, those all get

1212
01:08:47,800 --> 01:08:49,960
Speaker 1: put on hold right now. Now Again they tell us

1213
01:08:50,000 --> 01:08:52,280
Speaker 1: this was the only way, but hospitals are going bankrupt. Okay,

1214
01:08:52,280 --> 01:08:55,680
Speaker 1: So Pelosi's pretense that Republicans wouldn't give money for that

1215
01:08:55,760 --> 01:08:58,040
Speaker 1: as total crap. But then you also just have some

1216
01:08:58,160 --> 01:09:01,920
Speaker 1: of the well for Republicans, perhaps unintended, but the consequences

1217
01:09:02,040 --> 01:09:06,640
Speaker 1: of the rescue bill itself really interesting. Piece in the

1218
01:09:06,680 --> 01:09:11,040
Speaker 1: Wall Street Journal by Kurt Huffman. It's a commentary piece.

1219
01:09:11,080 --> 01:09:15,400
Speaker 1: Our restaurants can't reopen until August. Employees refuse to return

1220
01:09:15,479 --> 01:09:17,880
Speaker 1: to work as long as they're getting an extra six

1221
01:09:18,080 --> 01:09:21,760
Speaker 1: hundred dollars a week. He talks about how he's trying

1222
01:09:21,760 --> 01:09:23,640
Speaker 1: to keep going. The goal is to survive. They're doing

1223
01:09:23,720 --> 01:09:25,880
Speaker 1: some takeout. This reminds me of all the restaurants in

1224
01:09:25,960 --> 01:09:29,280
Speaker 1: New York and the service industry employees. I think it's

1225
01:09:29,960 --> 01:09:32,280
Speaker 1: ten to fifteen percent of America. I think it's something

1226
01:09:32,360 --> 01:09:34,000
Speaker 1: like that producer Mark fact check me on that one.

1227
01:09:34,040 --> 01:09:36,559
Speaker 1: I think it's ten to fifteen percent of America. It's

1228
01:09:36,560 --> 01:09:39,280
Speaker 1: a big service industry jobs, or are huge they are

1229
01:09:39,280 --> 01:09:41,240
Speaker 1: a huge part of the economy, or irrespective of whether

1230
01:09:41,320 --> 01:09:45,320
Speaker 1: my off the cuff number is right in line. And

1231
01:09:46,479 --> 01:09:48,320
Speaker 1: you know that he says this restaurants at thirty percent

1232
01:09:48,360 --> 01:09:51,200
Speaker 1: of the usual revenue. And here's what's going on. Quote.

1233
01:09:51,200 --> 01:09:54,760
Speaker 1: We started making the calls last week to our furloughed employees,

1234
01:09:55,240 --> 01:09:58,959
Speaker 1: but they've they've already begun receiving weekly federal pandemic unemployment

1235
01:09:59,000 --> 01:10:02,160
Speaker 1: compensation and checks of six hundred dollars under the Cares Act.

1236
01:10:02,880 --> 01:10:04,599
Speaker 1: When we ask our employees to come back, they all

1237
01:10:04,640 --> 01:10:06,960
Speaker 1: said no thanks. If they return to work, they'll have

1238
01:10:07,080 --> 01:10:09,560
Speaker 1: to take a pay cut. The starting wage for a

1239
01:10:09,600 --> 01:10:12,040
Speaker 1: line cook in one of our restaurants is fifteen dollars

1240
01:10:12,040 --> 01:10:14,439
Speaker 1: an hour. These cooks receive at least a dollar an

1241
01:10:14,439 --> 01:10:16,360
Speaker 1: hour and tips, so at minimum they make sixteen dollars

1242
01:10:16,400 --> 01:10:19,080
Speaker 1: an hour, or six hundred and forty dollars before taxes

1243
01:10:19,080 --> 01:10:22,240
Speaker 1: for a forty hour week. The overwhelming majority of our

1244
01:10:22,320 --> 01:10:27,439
Speaker 1: laid off cooks qualified for Oregon unemployment compensation four hundred

1245
01:10:27,439 --> 01:10:30,559
Speaker 1: and sixteen dollars in our example based on the cook's wages.

1246
01:10:31,080 --> 01:10:32,920
Speaker 1: The extra two hundred and twenty four dollars a week

1247
01:10:32,960 --> 01:10:36,280
Speaker 1: provides a strong incentive to return to work. But as

1248
01:10:36,360 --> 01:10:38,640
Speaker 1: of this week, the same employee receives a thousand and

1249
01:10:38,720 --> 01:10:41,840
Speaker 1: sixteen dollars a week, or three hundred and seventy six

1250
01:10:41,920 --> 01:10:44,160
Speaker 1: dollars more than he made as a full time employee.

1251
01:10:44,760 --> 01:10:47,120
Speaker 1: Why on earth would he want to come back to work.

1252
01:10:47,360 --> 01:10:49,720
Speaker 1: The Trump administration's talking about setting a timeline for in

1253
01:10:49,760 --> 01:10:52,120
Speaker 1: the country can open for business. For my business, Congress

1254
01:10:52,160 --> 01:10:54,720
Speaker 1: has already locked down that date. We can open our

1255
01:10:54,760 --> 01:10:57,639
Speaker 1: dining rooms on August first, once the government stops paying

1256
01:10:57,680 --> 01:11:01,240
Speaker 1: people fifteen dollars an hour on top of standard unemployment

1257
01:11:01,280 --> 01:11:04,560
Speaker 1: compensation to stay home. Democrats wanted this. This is a

1258
01:11:04,640 --> 01:11:08,240
Speaker 1: stealth fifteen dollar minimum wage. My friends, Thanks for listening

1259
01:11:08,280 --> 01:11:11,680
Speaker 1: to the Bus Sesson Show podcast. Remember to subscribe on

1260
01:11:11,760 --> 01:11:15,880
Speaker 1: Apple podcast, the iHeartRadio app for wherever you get your podcasts.

1261
01:11:17,160 --> 01:11:19,840
Speaker 1: All right, team, we have a special treat today for you.

1262
01:11:20,360 --> 01:11:23,519
Speaker 1: James al Tucher joins us now. He's an American hedge

1263
01:11:23,560 --> 01:11:27,839
Speaker 1: fund manager, author, podcaster, entrepreneur. He's founded over twenty companies,

1264
01:11:28,160 --> 01:11:32,920
Speaker 1: and he's host of the James Altucher podcast. Mister al Tucher, Hello, sir,

1265
01:11:33,560 --> 01:11:36,160
Speaker 1: but so happy to be on your show up and

1266
01:11:36,360 --> 01:11:39,599
Speaker 1: I've been listening ever since, back when you're at the Blaze.

1267
01:11:39,960 --> 01:11:43,200
Speaker 1: Wowho is that? That is a high compliment. That's like

1268
01:11:44,200 --> 01:11:46,680
Speaker 1: I left the Blaze four years ago. So yeah, I

1269
01:11:46,800 --> 01:11:49,040
Speaker 1: started almost ten years ago now, so it's been a

1270
01:11:49,080 --> 01:11:50,760
Speaker 1: while man. But thank you so much for joining us.

1271
01:11:50,800 --> 01:11:55,040
Speaker 1: I know you, like me, are in NYC. Your background

1272
01:11:55,120 --> 01:11:58,839
Speaker 1: book selection that I can see here is more impressive

1273
01:11:58,880 --> 01:12:01,519
Speaker 1: than mine, which indicates great. Your square footage in your apartment.

1274
01:12:01,600 --> 01:12:04,160
Speaker 1: So lucky you, because I'm going stirred and crase you

1275
01:12:04,240 --> 01:12:07,000
Speaker 1: over here. But how are you? First off, how are

1276
01:12:07,000 --> 01:12:10,439
Speaker 1: you doing in lockdown? You know? For me personally, I

1277
01:12:11,680 --> 01:12:15,640
Speaker 1: don't like going outside. I don't like traveling. I had

1278
01:12:15,680 --> 01:12:19,000
Speaker 1: all sorts of trips scheduled for March and Abril, and

1279
01:12:19,080 --> 01:12:20,960
Speaker 1: I was very happy to cancel them. I was going

1280
01:12:21,000 --> 01:12:27,400
Speaker 1: to Austin, Houston, California, Florida, DC, Winnipeg. All the trips

1281
01:12:27,439 --> 01:12:32,400
Speaker 1: are canceled. I'm so grateful, but I do every day.

1282
01:12:33,280 --> 01:12:36,280
Speaker 1: Just I don't know what it is. I just you know,

1283
01:12:36,640 --> 01:12:40,240
Speaker 1: just like you, I've been reporting and covering this economic

1284
01:12:40,360 --> 01:12:44,639
Speaker 1: lockdown and of course the virus, and it's just horrible.

1285
01:12:44,800 --> 01:12:48,800
Speaker 1: The effect on society is so much suffering from you know,

1286
01:12:48,840 --> 01:12:51,679
Speaker 1: of course, of course the virus, but also the economic

1287
01:12:51,720 --> 01:12:55,320
Speaker 1: shutdowns effects three hundred million people. And you know, this

1288
01:12:55,400 --> 01:12:58,160
Speaker 1: is the world's biggest economy, seven billion people around the world,

1289
01:12:58,560 --> 01:13:01,599
Speaker 1: And so you know, I think we all, no matter

1290
01:13:01,720 --> 01:13:06,480
Speaker 1: how we are personally, we all feel we've heard anxiety

1291
01:13:07,120 --> 01:13:12,200
Speaker 1: of nobody's working, nobody's producing, everyone's scared, everyone's anxious, and

1292
01:13:12,960 --> 01:13:16,920
Speaker 1: you know, no one is no one could depend themselves

1293
01:13:16,960 --> 01:13:20,280
Speaker 1: from that. No matter rich or or sacred healthy, you're

1294
01:13:20,280 --> 01:13:22,639
Speaker 1: going to feel the anxiety of the world and moments

1295
01:13:22,680 --> 01:13:25,599
Speaker 1: like this. How do you think our leadership so far

1296
01:13:26,040 --> 01:13:29,080
Speaker 1: has has responded to this? Where do you think the

1297
01:13:29,200 --> 01:13:32,479
Speaker 1: balance is. There's obviously the virus in the economy. It

1298
01:13:32,680 --> 01:13:35,680
Speaker 1: feels like there's been a shift to the recognition that

1299
01:13:35,760 --> 01:13:38,840
Speaker 1: the economy can't just be something that we stick in

1300
01:13:38,880 --> 01:13:41,160
Speaker 1: the deep freezer until we decide to thaw it out.

1301
01:13:41,720 --> 01:13:44,000
Speaker 1: What do you think about what we've done so far

1302
01:13:44,200 --> 01:13:48,559
Speaker 1: with this nationwide lockdown? Are you following what Europe has done,

1303
01:13:48,760 --> 01:13:51,439
Speaker 1: what different cases have been like there with the nation

1304
01:13:51,520 --> 01:13:53,920
Speaker 1: state level, what Sweden has done in their approach, and

1305
01:13:54,320 --> 01:13:56,519
Speaker 1: how do you gauge all that? Yeah, Buck, it's a

1306
01:13:56,600 --> 01:14:01,000
Speaker 1: good question. I've been following everything on up to members.

1307
01:14:01,080 --> 01:14:02,920
Speaker 1: I've actually talked to members of the Federal Reserve. The

1308
01:14:02,960 --> 01:14:04,720
Speaker 1: other day I was talking to the deputy chairman of

1309
01:14:04,760 --> 01:14:08,519
Speaker 1: the stave O SPAN. I've talked to economists like Tyler

1310
01:14:08,640 --> 01:14:13,120
Speaker 1: Cohen from Marginal Revolution, other economists. I've talked to the

1311
01:14:13,240 --> 01:14:18,040
Speaker 1: top epidemiologists and immunologists at Imperial College, which was the

1312
01:14:18,120 --> 01:14:20,240
Speaker 1: first one out of all the kind of doom and

1313
01:14:20,320 --> 01:14:25,000
Speaker 1: gloom UH scenarios and mathematical novels. So I've been a

1314
01:14:25,080 --> 01:14:27,560
Speaker 1: little all over the place just trying to figure it

1315
01:14:27,600 --> 01:14:31,559
Speaker 1: out for my own audience. And I think, I think,

1316
01:14:32,360 --> 01:14:35,439
Speaker 1: you know, the economy is not a light switch. You

1317
01:14:35,520 --> 01:14:38,400
Speaker 1: can't turn it off and then turn it on three

1318
01:14:38,439 --> 01:14:41,560
Speaker 1: months later expecting it's just gonna it's gonna be just

1319
01:14:41,680 --> 01:14:46,599
Speaker 1: as glowing as it was before. We've done something disastrous here.

1320
01:14:46,600 --> 01:14:48,880
Speaker 1: And you know, you mentioned a lot of countries. Every

1321
01:14:48,920 --> 01:14:52,160
Speaker 1: single country and play, every every single state in the

1322
01:14:52,240 --> 01:14:55,120
Speaker 1: United States has had a different strategy for dealing with this.

1323
01:14:55,720 --> 01:14:58,400
Speaker 1: And we look at countries like Suiten or the Czech

1324
01:14:58,479 --> 01:15:02,080
Speaker 1: Republic or Taiwan, three different countries, three different strategies. None

1325
01:15:02,120 --> 01:15:04,840
Speaker 1: of them did a lockdown. All of them have their

1326
01:15:04,920 --> 01:15:08,439
Speaker 1: economy returning full force and didn't need, you know, the

1327
01:15:08,520 --> 01:15:12,600
Speaker 1: full stimulus that we needed. And I think it's a

1328
01:15:12,640 --> 01:15:14,680
Speaker 1: shame that we did this economic lockdown when there was

1329
01:15:14,680 --> 01:15:19,320
Speaker 1: absolutely no data to support it. Sure, by the way,

1330
01:15:19,680 --> 01:15:21,639
Speaker 1: and this is this is sort of sacrilegious to say,

1331
01:15:21,680 --> 01:15:25,360
Speaker 1: I'm not even so sure there's data to support social distancing,

1332
01:15:25,439 --> 01:15:28,120
Speaker 1: Like you mentioned Sweden. Maybe it's just that they naturally

1333
01:15:28,200 --> 01:15:31,000
Speaker 1: social distance because they don't really like each other that much.

1334
01:15:31,320 --> 01:15:35,280
Speaker 1: But they didn't social distance and they're they're coming back fun.

1335
01:15:35,520 --> 01:15:37,479
Speaker 1: It's not it's not like they were great, and it's

1336
01:15:37,520 --> 01:15:39,400
Speaker 1: not like they were bad. They weren't the worst in Europe,

1337
01:15:39,400 --> 01:15:41,760
Speaker 1: but they weren't the best. But I think I think

1338
01:15:41,800 --> 01:15:45,680
Speaker 1: this pandemic kind of has its natural course. I mean

1339
01:15:46,200 --> 01:15:48,519
Speaker 1: you probably remember, like an early February, some of the

1340
01:15:48,920 --> 01:15:52,800
Speaker 1: initial mathematical models, we're even saying up to one hundred

1341
01:15:52,880 --> 01:15:57,519
Speaker 1: forty million deaths worldwide, which was insane, Like you know,

1342
01:15:58,040 --> 01:16:01,080
Speaker 1: this is Singaporean total had I don't know, less than

1343
01:16:01,120 --> 01:16:04,000
Speaker 1: a thousand m. You have to say this again, it's

1344
01:16:04,040 --> 01:16:08,680
Speaker 1: like religion. Every death is horrible. We have to acknowledge that.

1345
01:16:09,080 --> 01:16:12,120
Speaker 1: But you know, people die every day from all sorts

1346
01:16:12,160 --> 01:16:15,160
Speaker 1: of causes. So just setting that aside for a second,

1347
01:16:15,640 --> 01:16:20,000
Speaker 1: it does up here that even the early data from

1348
01:16:20,040 --> 01:16:22,320
Speaker 1: all the initial countries that we were in that the

1349
01:16:22,439 --> 01:16:25,840
Speaker 1: virus was in, the early data was suggesting this virus

1350
01:16:26,000 --> 01:16:29,200
Speaker 1: doubles exponentially three or four times and then starts to

1351
01:16:29,320 --> 01:16:32,080
Speaker 1: peak and flatten. There was no way it was gonna

1352
01:16:32,160 --> 01:16:36,559
Speaker 1: have a two percent fatality rate World one. And now

1353
01:16:36,680 --> 01:16:41,360
Speaker 1: all these recent tests Santa Clara, California, Chelsea in Massachusetts,

1354
01:16:41,680 --> 01:16:46,520
Speaker 1: other tests are showing that they can te the infectiousness

1355
01:16:46,560 --> 01:16:49,920
Speaker 1: of this is probably fifty to eighty five times worse

1356
01:16:50,320 --> 01:16:52,800
Speaker 1: than we thought, or greater than we thought, which means

1357
01:16:52,840 --> 01:16:55,960
Speaker 1: that the ultimate fatality rate is much lower. The higher

1358
01:16:56,040 --> 01:16:59,559
Speaker 1: the infection rate, the lower the fatality rate. Will probably

1359
01:16:59,600 --> 01:17:01,920
Speaker 1: look at zero point one to zero point three percent

1360
01:17:02,000 --> 01:17:04,760
Speaker 1: fatality rate in order. In other words, you know, a

1361
01:17:04,880 --> 01:17:07,599
Speaker 1: flute similar to a flue season of course that you're

1362
01:17:07,640 --> 01:17:09,800
Speaker 1: not allowed to say. Also, this is similar the flue,

1363
01:17:09,880 --> 01:17:13,280
Speaker 1: It's not similar to the flue. The flu affects children

1364
01:17:13,520 --> 01:17:18,519
Speaker 1: and kills children. This is affecting elderly's, two different demographic groups.

1365
01:17:18,760 --> 01:17:21,000
Speaker 1: So what that means is on the hospitals. Is that

1366
01:17:21,400 --> 01:17:23,120
Speaker 1: if you end up on a ventilator from this, if

1367
01:17:23,160 --> 01:17:26,760
Speaker 1: you're elderly, you end up spending more days on the ventilator. Hence,

1368
01:17:26,880 --> 01:17:28,640
Speaker 1: if we were going to if the hospitals were going

1369
01:17:28,720 --> 01:17:32,000
Speaker 1: to be overwhelmed, it could have caused a problem. But

1370
01:17:32,160 --> 01:17:35,760
Speaker 1: obviously they weren't overlap whelmed and so that didn't happen.

1371
01:17:36,200 --> 01:17:38,599
Speaker 1: And now they're saying, well, it's because we enacted social

1372
01:17:38,640 --> 01:17:42,000
Speaker 1: distancing principles who we don't really know, and some states

1373
01:17:42,080 --> 01:17:47,200
Speaker 1: that didn't really do anything have barely any cases or deaths.

1374
01:17:47,479 --> 01:17:51,559
Speaker 1: So you know, to treat every state as if, oh

1375
01:17:51,640 --> 01:17:54,240
Speaker 1: my gosh, you're not even allowed to go to the

1376
01:17:54,360 --> 01:17:57,040
Speaker 1: grocery store, you know, or else you're going to die.

1377
01:17:57,520 --> 01:18:01,840
Speaker 1: That's just ridiculous. And now now question is we're not

1378
01:18:01,960 --> 01:18:03,920
Speaker 1: coming back to a new normal. We're coming back to

1379
01:18:04,040 --> 01:18:07,680
Speaker 1: a new abnormal. This has never happened before. And the

1380
01:18:07,880 --> 01:18:11,519
Speaker 1: stimulus has been trillions of dollars more than we even

1381
01:18:11,600 --> 01:18:14,040
Speaker 1: did in the massive stimulus in two thousand and eight,

1382
01:18:14,080 --> 01:18:16,439
Speaker 1: two thousands. So what do you foresee that doing, James,

1383
01:18:17,040 --> 01:18:18,840
Speaker 1: what do you see that doing to the economy? I mean,

1384
01:18:18,880 --> 01:18:23,200
Speaker 1: we're now seeing hundreds of billions of dollars thrown into

1385
01:18:23,960 --> 01:18:28,000
Speaker 1: congressional spending bills. We can't even keep up with it.

1386
01:18:28,080 --> 01:18:29,840
Speaker 1: I mean it was a couple it was a few

1387
01:18:29,880 --> 01:18:32,040
Speaker 1: trillion dollars, and now they've added it was going to

1388
01:18:32,120 --> 01:18:34,000
Speaker 1: be two hundred and fifty billion, and then it was

1389
01:18:34,040 --> 01:18:36,719
Speaker 1: three hundred billion, and now it's close to half a trillion.

1390
01:18:36,880 --> 01:18:39,200
Speaker 1: You know, four hundred something billion was the final tally.

1391
01:18:39,400 --> 01:18:41,760
Speaker 1: And Chuck Schumer's already saying there's going to be at

1392
01:18:41,880 --> 01:18:44,800
Speaker 1: apart three or apart four to this whole thing. At

1393
01:18:44,880 --> 01:18:47,200
Speaker 1: what point have we how do we know as a government,

1394
01:18:47,280 --> 01:18:50,040
Speaker 1: as a country we've spent too much money? What does

1395
01:18:50,120 --> 01:18:52,400
Speaker 1: that feel like? What does that look like? Yeah, that's

1396
01:18:52,439 --> 01:18:55,439
Speaker 1: a great question because because there's going to be of

1397
01:18:55,520 --> 01:18:57,080
Speaker 1: a point, it's not likely in two thousand and eight,

1398
01:18:57,120 --> 01:19:00,280
Speaker 1: two thousand and nine, where there wasn't a sudden afore

1399
01:19:00,320 --> 01:19:04,840
Speaker 1: and after, like it wasn't like the economy was bad

1400
01:19:04,920 --> 01:19:06,479
Speaker 1: in two thousand and eight and then as soon as

1401
01:19:06,520 --> 01:19:10,040
Speaker 1: the stimulus was passed and it was good, it was

1402
01:19:10,280 --> 01:19:13,080
Speaker 1: it was the economy never was closed then, So the

1403
01:19:13,120 --> 01:19:16,479
Speaker 1: economy went from bad to having some stimulus to them

1404
01:19:16,560 --> 01:19:20,120
Speaker 1: becoming good. But right now we're all being forced all

1405
01:19:20,360 --> 01:19:23,080
Speaker 1: literally at gunpoint, like they'll arrest you if you don't

1406
01:19:23,880 --> 01:19:27,639
Speaker 1: if you if you, you know, go outside without a mask,

1407
01:19:27,840 --> 01:19:32,920
Speaker 1: or don't obey proper social distancing. So sooner or later

1408
01:19:32,920 --> 01:19:35,559
Speaker 1: they're going to reopen the economy all across the US,

1409
01:19:36,040 --> 01:19:38,280
Speaker 1: and then at the same time, the stimulus is going

1410
01:19:38,360 --> 01:19:40,479
Speaker 1: to be hitting. We've never had an experience like that

1411
01:19:40,560 --> 01:19:43,840
Speaker 1: where everybody sort of walks out of their home and

1412
01:19:44,120 --> 01:19:47,719
Speaker 1: sees daylight and money is just showering down from the sky.

1413
01:19:48,280 --> 01:19:51,200
Speaker 1: And of course there's a risk of hyper inflation. But

1414
01:19:51,439 --> 01:19:54,280
Speaker 1: right now we're in a deflationary period because there's zero demand.

1415
01:19:54,600 --> 01:19:58,599
Speaker 1: So the price of pretty much everything now is between

1416
01:19:58,680 --> 01:20:01,600
Speaker 1: twenty to one hundred percent and below what it was.

1417
01:20:01,800 --> 01:20:05,200
Speaker 1: So we're in a massive deflationary scenario that's been forced

1418
01:20:05,280 --> 01:20:07,920
Speaker 1: on us. But it's going to change as soon as

1419
01:20:07,960 --> 01:20:11,639
Speaker 1: we leave and as soon as economy reopens. We don't

1420
01:20:11,640 --> 01:20:13,680
Speaker 1: really know what prices are going to look like now.

1421
01:20:14,040 --> 01:20:17,920
Speaker 1: To your point, on a macroeconomic level, the fortunate thing

1422
01:20:17,960 --> 01:20:21,000
Speaker 1: we have, it's both fortunate and unfortunate, but there's such

1423
01:20:21,120 --> 01:20:23,760
Speaker 1: huge demand for the US dollar. The US dollar is

1424
01:20:23,800 --> 01:20:27,240
Speaker 1: the flight to safety for the wealthy in China, the

1425
01:20:27,360 --> 01:20:29,640
Speaker 1: wealthy in the Middle East, the wealthy in Europe. That

1426
01:20:29,800 --> 01:20:32,960
Speaker 1: that keeps naturally our interest rates low, and it keeps

1427
01:20:33,000 --> 01:20:36,479
Speaker 1: people buying other countries buying our debt, so that sort

1428
01:20:36,520 --> 01:20:40,760
Speaker 1: of avoids too much inflationary pressure. But an economy is

1429
01:20:40,800 --> 01:20:44,440
Speaker 1: only as good as the goods and services it produces.

1430
01:20:44,840 --> 01:20:47,479
Speaker 1: People pay for those goods and services and dollars, and

1431
01:20:47,600 --> 01:20:50,320
Speaker 1: that's why the dollar is valuable because advise us goods

1432
01:20:50,360 --> 01:20:54,439
Speaker 1: and services. But ultimately, if you're just going a trillion

1433
01:20:54,479 --> 01:20:56,880
Speaker 1: dollars a month out there and you're not producing any

1434
01:20:56,960 --> 01:21:00,720
Speaker 1: goods and services, sooner or later everyone's in around and say, well,

1435
01:21:00,720 --> 01:21:03,600
Speaker 1: why are we Why are we giving so many of

1436
01:21:03,880 --> 01:21:05,960
Speaker 1: munch of our currents get a dollar, the dollars sort

1437
01:21:06,000 --> 01:21:09,920
Speaker 1: of worthless. Now, what will avoid that the story of

1438
01:21:09,960 --> 01:21:14,400
Speaker 1: the economy reopens the better. Every month we wait, the

1439
01:21:14,600 --> 01:21:20,439
Speaker 1: economy comes closer and closer to the twilight zone where

1440
01:21:20,439 --> 01:21:23,280
Speaker 1: we don't really understand what's going to happen next. If

1441
01:21:23,320 --> 01:21:27,800
Speaker 1: the economy would open this morning, we can probably start

1442
01:21:27,840 --> 01:21:31,160
Speaker 1: to guess what industries are going to fail, what industries

1443
01:21:31,160 --> 01:21:33,400
Speaker 1: are going to succeed, and we'll come back to some

1444
01:21:33,560 --> 01:21:36,760
Speaker 1: sort of normal. The short term stimulus will kick in.

1445
01:21:36,880 --> 01:21:41,719
Speaker 1: That's the direct to your bank account, twelve hundred dollars

1446
01:21:41,800 --> 01:21:43,880
Speaker 1: checks that are going to everybody, and the p P

1447
01:21:44,000 --> 01:21:45,880
Speaker 1: loans that are going to small businesses. That's the short

1448
01:21:46,000 --> 01:21:49,559
Speaker 1: term stimulus. The long term stimulus is the FED rate

1449
01:21:49,640 --> 01:21:52,519
Speaker 1: cuts and now I'll kick in. Let's stay within twelve months.

1450
01:21:53,439 --> 01:21:55,479
Speaker 1: So we have short and long term stimulus that will

1451
01:21:56,200 --> 01:21:58,360
Speaker 1: beep up the economy. And the whope is that we

1452
01:21:58,840 --> 01:22:03,040
Speaker 1: didn't miscalculate and rely on the kindness of others too

1453
01:22:03,120 --> 01:22:06,200
Speaker 1: much to support our dollar, and you know, hopefully the

1454
01:22:06,280 --> 01:22:08,320
Speaker 1: economy comes back and tact. James, I want to come

1455
01:22:08,360 --> 01:22:11,479
Speaker 1: back and talk about how this situation is changing, not

1456
01:22:11,600 --> 01:22:15,479
Speaker 1: just obviously the economy, but life going forward. We mentioned,

1457
01:22:15,520 --> 01:22:18,400
Speaker 1: you know, the new abnormal or what's and I want

1458
01:22:18,400 --> 01:22:20,439
Speaker 1: to also take a look back and see what have

1459
01:22:20,520 --> 01:22:23,200
Speaker 1: we learned about life, perhaps that we used to think

1460
01:22:23,320 --> 01:22:25,280
Speaker 1: was true that was not. I saw a thread you

1461
01:22:25,360 --> 01:22:27,240
Speaker 1: had on this I thought was really interesting. We'll come

1462
01:22:27,280 --> 01:22:31,400
Speaker 1: back with James al Tutor, podcaster, author, entrepreneur, investor. In

1463
01:22:31,479 --> 01:22:36,519
Speaker 1: just a second, you're in the Freedom Hunt. This is

1464
01:22:36,600 --> 01:22:44,520
Speaker 1: the Buck Sexton Show podcast. Okay, we're back with James Altucher.

1465
01:22:44,760 --> 01:22:49,479
Speaker 1: He is a hedge fund manager, author, podcaster, book and

1466
01:22:49,920 --> 01:22:53,320
Speaker 1: his book Choose Yourself and many books, many podcasts, many things.

1467
01:22:53,479 --> 01:22:57,000
Speaker 1: Mister mister al Tucher, Jack of all trades, James of

1468
01:22:57,040 --> 01:23:02,120
Speaker 1: all trades, Yeah, Dilton everything, master of nothing. Yeah. Well

1469
01:23:02,280 --> 01:23:04,280
Speaker 1: we have the same first name technically, so that that

1470
01:23:04,400 --> 01:23:06,519
Speaker 1: speaks well to you. So let me let me ask

1471
01:23:06,560 --> 01:23:09,759
Speaker 1: about what you had A threat. I found really interesting

1472
01:23:09,880 --> 01:23:11,360
Speaker 1: and I think some of these some of this audience

1473
01:23:11,439 --> 01:23:12,840
Speaker 1: is really going to agree with it, and they're gonna

1474
01:23:12,840 --> 01:23:14,600
Speaker 1: probably going to disagree with someone. But that's great. We

1475
01:23:14,720 --> 01:23:17,599
Speaker 1: like we like to spark ideas here and spark debate

1476
01:23:18,479 --> 01:23:22,400
Speaker 1: myths that we have learned as a function of this lockdown,

1477
01:23:22,479 --> 01:23:25,120
Speaker 1: myths about ourselves and about society. I just what are

1478
01:23:25,200 --> 01:23:26,840
Speaker 1: some of the myths, you know, the top ones, I know,

1479
01:23:26,920 --> 01:23:28,960
Speaker 1: I get a whole bunch. Well, I think that I

1480
01:23:29,040 --> 01:23:32,400
Speaker 1: think there was this myth that we have to be

1481
01:23:33,120 --> 01:23:37,240
Speaker 1: in a location to work or to learn. Like look,

1482
01:23:37,560 --> 01:23:41,040
Speaker 1: you know, it's clear now the tide has come in

1483
01:23:41,520 --> 01:23:45,200
Speaker 1: and the first institution post group of institution standing naked

1484
01:23:45,360 --> 01:23:50,759
Speaker 1: are institutions of higher learning. Colleges like colleges were charging

1485
01:23:50,880 --> 01:23:54,599
Speaker 1: seventy thousand a year, and suddenly they said, oh, by

1486
01:23:54,640 --> 01:23:56,439
Speaker 1: the way, we were you could just go home and

1487
01:23:56,600 --> 01:24:00,559
Speaker 1: learn by yourselves. Well, we're keeping the money. Don't worry

1488
01:24:00,600 --> 01:24:02,880
Speaker 1: about it. You'll get your degree, but just go home

1489
01:24:02,960 --> 01:24:05,720
Speaker 1: and play with your little friends, bother your parents, get

1490
01:24:05,800 --> 01:24:08,639
Speaker 1: your grandparents sick. You get out of the dorm rooms,

1491
01:24:08,720 --> 01:24:11,679
Speaker 1: by the way, because we don't want your petrie dish

1492
01:24:11,760 --> 01:24:14,600
Speaker 1: of disease affecting our dorm rooms. But don't ask for

1493
01:24:14,720 --> 01:24:18,320
Speaker 1: your rent back because that money is ours now business

1494
01:24:18,439 --> 01:24:21,519
Speaker 1: one on one. We took that money from you, and

1495
01:24:21,680 --> 01:24:25,120
Speaker 1: possession is nine tenths of the law. So I don't know,

1496
01:24:25,320 --> 01:24:29,200
Speaker 1: Like everybody's leaving college and the supposing course online. I've

1497
01:24:29,240 --> 01:24:31,439
Speaker 1: seen some of these online courses. I would rather take

1498
01:24:31,439 --> 01:24:35,240
Speaker 1: a course for ten dollars on Corsarah or LinkedIn Learning

1499
01:24:35,320 --> 01:24:39,439
Speaker 1: orcan Academy. Like, why did anybody pay seventy thousand a

1500
01:24:39,520 --> 01:24:42,400
Speaker 1: year for four years to learn to get a degree?

1501
01:24:42,560 --> 01:24:47,000
Speaker 1: That says, oh, I learned East Asian studies, Like it's particulous. Well, well,

1502
01:24:47,000 --> 01:24:50,280
Speaker 1: they're credential they're really credentialing their credentialing programs, which is

1503
01:24:50,360 --> 01:24:52,160
Speaker 1: especially I think that's been better known for a long

1504
01:24:52,240 --> 01:24:55,080
Speaker 1: time about some of the more flimsy master's programs in

1505
01:24:55,120 --> 01:24:57,960
Speaker 1: the humanities. But now people are realizing, well, it's like

1506
01:24:58,000 --> 01:25:00,280
Speaker 1: an arms race, right If everybody has a four year

1507
01:25:00,680 --> 01:25:03,320
Speaker 1: liberal arts degree of some kind, the value in the

1508
01:25:03,439 --> 01:25:06,160
Speaker 1: marketplace of just having that degree is not the same

1509
01:25:06,240 --> 01:25:08,280
Speaker 1: as it used to be. No. I mean in this

1510
01:25:08,800 --> 01:25:12,720
Speaker 1: already you're seeing, you know, skills and ideas are the

1511
01:25:12,800 --> 01:25:17,719
Speaker 1: currency of the twenty first century, not a degree from whatever,

1512
01:25:18,240 --> 01:25:21,120
Speaker 1: you know school. And I'm gonna talking right up to Harvard.

1513
01:25:21,200 --> 01:25:23,640
Speaker 1: Like Harvard, there's always a credential ang where there's some

1514
01:25:23,800 --> 01:25:27,240
Speaker 1: status things, so other people who they did their higher

1515
01:25:27,280 --> 01:25:31,320
Speaker 1: status will hire you. But Harvard they just took they

1516
01:25:31,360 --> 01:25:34,000
Speaker 1: have a forty one billion dollars endowment, you know, until

1517
01:25:34,040 --> 01:25:36,639
Speaker 1: they were kind of caught, right, and they they took

1518
01:25:36,760 --> 01:25:40,120
Speaker 1: nine million dollars from the last stimulus package, supposedly to

1519
01:25:40,320 --> 01:25:43,720
Speaker 1: give to students leading financial Trump says they're going to

1520
01:25:43,800 --> 01:25:47,080
Speaker 1: give it back. By the way, he said that earlier

1521
01:25:47,120 --> 01:25:49,200
Speaker 1: the week. Guess what the head of the Harvard endowment

1522
01:25:49,680 --> 01:25:54,080
Speaker 1: makes per year? He makes Guess what nine million dollars. Oh,

1523
01:25:54,520 --> 01:25:58,560
Speaker 1: it's a payment protection program. Let's protect the pay of

1524
01:25:58,640 --> 01:26:01,840
Speaker 1: one employee guy who runs all of our money. So

1525
01:26:02,600 --> 01:26:05,400
Speaker 1: it's just you know, that's that's a big em And

1526
01:26:05,439 --> 01:26:08,519
Speaker 1: then there is the myth that you can't work remotely

1527
01:26:08,560 --> 01:26:11,439
Speaker 1: and be productive. You know, right now, I think anything

1528
01:26:11,479 --> 01:26:14,160
Speaker 1: with the word of remote in it is going to

1529
01:26:14,240 --> 01:26:18,280
Speaker 1: be supercharged. And there's both upside and downside to that.

1530
01:26:18,680 --> 01:26:20,880
Speaker 1: We're going to be able to be more flexible about

1531
01:26:20,920 --> 01:26:23,720
Speaker 1: our work hours, more flexible about where we work, more

1532
01:26:23,800 --> 01:26:26,920
Speaker 1: flexible about travel. But at the same time, you have

1533
01:26:27,040 --> 01:26:29,559
Speaker 1: to ask, what's going to happen to commercial real estate?

1534
01:26:29,840 --> 01:26:31,400
Speaker 1: And by the way, not that we have to care

1535
01:26:31,479 --> 01:26:34,280
Speaker 1: that much, but everything in the economy is linked. So

1536
01:26:34,640 --> 01:26:36,840
Speaker 1: we Work clearly is going to go out of business

1537
01:26:36,880 --> 01:26:39,559
Speaker 1: after this, Like there they are bankrupt and soft Bank

1538
01:26:39,680 --> 01:26:41,960
Speaker 1: hold the plot on funding. So we were is the

1539
01:26:42,080 --> 01:26:45,680
Speaker 1: biggest lee se I don't know what you call it.

1540
01:26:45,920 --> 01:26:47,960
Speaker 1: They rent the most wars in New York City of

1541
01:26:48,040 --> 01:26:52,800
Speaker 1: any other company. So if you own a skyscraper in

1542
01:26:52,840 --> 01:26:55,320
Speaker 1: New York City and you're heavily leveraged and you have

1543
01:26:55,400 --> 01:26:58,160
Speaker 1: to make your own mortgage payments, and WE Work suddenly

1544
01:26:59,200 --> 01:27:02,120
Speaker 1: disappears and they rented eight floors in your building, you

1545
01:27:02,240 --> 01:27:04,439
Speaker 1: might be out of business. You can't just replace them

1546
01:27:04,479 --> 01:27:08,680
Speaker 1: the next day with a renter. So and that's we were.

1547
01:27:08,760 --> 01:27:10,679
Speaker 1: And then there's all the restaurants store funds. Not every

1548
01:27:10,760 --> 01:27:14,080
Speaker 1: restaurant is coming back to business in urban areas and

1549
01:27:14,160 --> 01:27:16,800
Speaker 1: maybe all over the country. So this you know, ten

1550
01:27:16,880 --> 01:27:19,920
Speaker 1: million restaurants on average day at sixteen days of cash

1551
01:27:20,080 --> 01:27:22,160
Speaker 1: in the bank. Restaurants are out of business in this

1552
01:27:22,240 --> 01:27:24,800
Speaker 1: country right now. And so now, yes they'll be helped

1553
01:27:24,840 --> 01:27:27,559
Speaker 1: by the stimulus package, but guess what. The stimulus package

1554
01:27:27,600 --> 01:27:31,360
Speaker 1: at least initially went to the Shape Shacks and Ruth

1555
01:27:31,439 --> 01:27:34,760
Speaker 1: Chris steakhouses of the world. And this mom and pop

1556
01:27:34,920 --> 01:27:38,120
Speaker 1: small restaurants are out of business. I know because all

1557
01:27:38,160 --> 01:27:41,040
Speaker 1: the go fund I own a local store park business

1558
01:27:41,080 --> 01:27:43,240
Speaker 1: in New York City. All I see all the local

1559
01:27:43,320 --> 01:27:46,120
Speaker 1: goal fund these being you know, from the employees of

1560
01:27:46,120 --> 01:27:48,760
Speaker 1: all the different restaurants and business restaurants, but that you

1561
01:27:48,840 --> 01:27:51,760
Speaker 1: and I have even been to, and there are a

1562
01:27:51,920 --> 01:27:53,280
Speaker 1: lot of business So what are going to happen to

1563
01:27:53,360 --> 01:27:56,200
Speaker 1: those buildings? We're no longer getting in fifteen to twenty

1564
01:27:56,240 --> 01:27:59,200
Speaker 1: thousand dollars in rent a month that those restaurants were getting.

1565
01:27:59,400 --> 01:28:02,599
Speaker 1: So commercial real estate is gonna collapse. And we're gonna

1566
01:28:02,640 --> 01:28:06,560
Speaker 1: have like a mini financial collapse after we reopened the

1567
01:28:06,600 --> 01:28:10,120
Speaker 1: economy just on the basis of that. So, you know,

1568
01:28:10,200 --> 01:28:11,559
Speaker 1: I think I think a lot of things are going

1569
01:28:11,600 --> 01:28:14,040
Speaker 1: to be both good in that, you know, will reopen

1570
01:28:14,080 --> 01:28:17,000
Speaker 1: the economy, people will have an opportunity to really decide

1571
01:28:17,000 --> 01:28:19,080
Speaker 1: what they want to do. They've probably changed habits so

1572
01:28:19,160 --> 01:28:21,519
Speaker 1: they didn't spend as much, they they go out as much.

1573
01:28:21,760 --> 01:28:23,960
Speaker 1: Hopefully they'll start spending and going out again, but some

1574
01:28:24,080 --> 01:28:26,320
Speaker 1: people won't and that might be a good thing for them.

1575
01:28:26,680 --> 01:28:29,640
Speaker 1: But the other thing is, you know, it's gonna be

1576
01:28:29,720 --> 01:28:33,360
Speaker 1: quickly everything that was going to eventually happen, like they denies. Yeah,

1577
01:28:33,479 --> 01:28:36,680
Speaker 1: they've accelerated. They've accelerated to clean the cleaning out of

1578
01:28:36,720 --> 01:28:38,720
Speaker 1: a lot of the economy in ways that's gonna be

1579
01:28:38,840 --> 01:28:41,760
Speaker 1: very tough. Everybody. James al Tutor podcast or author. Check

1580
01:28:41,800 --> 01:28:44,439
Speaker 1: out a show that James al Tutor Show and we're

1581
01:28:44,520 --> 01:28:47,400
Speaker 1: back in a second. Thanks for listening to The Bus

1582
01:28:47,479 --> 01:28:51,560
Speaker 1: Sesson Show podcasts. Remember to subscribe on Apple podcasts, the

1583
01:28:51,640 --> 01:28:55,760
Speaker 1: iHeart Radio app, or wherever you get your podcasts. It

1584
01:28:56,000 --> 01:28:59,000
Speaker 1: is time for roll Call. Thank you so much everybody

1585
01:28:59,040 --> 01:29:02,439
Speaker 1: for writing it. I always appreciate it. It helps us

1586
01:29:02,560 --> 01:29:04,479
Speaker 1: out to hear from all of you across the country

1587
01:29:04,479 --> 01:29:07,320
Speaker 1: and let us know what's what's going on with all

1588
01:29:07,479 --> 01:29:10,599
Speaker 1: of the things all of you, so as always, thank

1589
01:29:10,640 --> 01:29:13,479
Speaker 1: you so much for that. Let's get to it, shall we. Well,

1590
01:29:13,479 --> 01:29:15,400
Speaker 1: first of all, let's check in with our friend, producer Mark,

1591
01:29:15,439 --> 01:29:17,519
Speaker 1: Producer Mark, how are you doing? What's What's at the

1592
01:29:17,560 --> 01:29:19,720
Speaker 1: top of the Netflix queue? How's how's life in the

1593
01:29:19,800 --> 01:29:22,080
Speaker 1: penalty box? But the home penalty box. There's a lot

1594
01:29:22,120 --> 01:29:23,800
Speaker 1: of questions there. I'm not really sure how to how

1595
01:29:23,840 --> 01:29:25,559
Speaker 1: to go there. Yeah, you just you take him as

1596
01:29:25,640 --> 01:29:27,280
Speaker 1: as you as they call me, take them as you want.

1597
01:29:27,479 --> 01:29:29,720
Speaker 1: I'm doing well, you know, I'm into a routine of

1598
01:29:29,800 --> 01:29:33,080
Speaker 1: doing absolutely nothing and then coming and doing the show. Right.

1599
01:29:33,120 --> 01:29:35,200
Speaker 1: Thank god, we actually have a show to do every day.

1600
01:29:35,320 --> 01:29:37,479
Speaker 1: I mean, I've always been thankful for this show. But like,

1601
01:29:37,760 --> 01:29:40,360
Speaker 1: if I wasn't doing this, let's let's say that, you know,

1602
01:29:40,760 --> 01:29:43,800
Speaker 1: there was a government ban on all home media for

1603
01:29:43,880 --> 01:29:45,400
Speaker 1: some reason, which would be crazy, but I'm just saying

1604
01:29:45,400 --> 01:29:47,320
Speaker 1: if nobody was allowed to work from home, even doing

1605
01:29:47,439 --> 01:29:51,000
Speaker 1: media stuff, I would I'd go nuts, man. I would

1606
01:29:51,000 --> 01:29:53,160
Speaker 1: have read three or four books in the first like

1607
01:29:53,280 --> 01:29:55,519
Speaker 1: week or two of quarantine, and then I would have

1608
01:29:55,560 --> 01:29:57,920
Speaker 1: just been I don't know. There's only so much cooking

1609
01:29:57,960 --> 01:29:59,639
Speaker 1: you can do to do too, because I cook food

1610
01:29:59,680 --> 01:30:01,000
Speaker 1: that's to issues and then I want to eat it

1611
01:30:01,360 --> 01:30:02,920
Speaker 1: and I'm going to turn into job of the Buck.

1612
01:30:02,960 --> 01:30:06,320
Speaker 1: So they're limitations. Yeah, I'm going nuts. Even with spending

1613
01:30:06,400 --> 01:30:08,160
Speaker 1: what eight hours or so on the show every day,

1614
01:30:08,200 --> 01:30:11,160
Speaker 1: it feels like you consume my life now, Buck, it's

1615
01:30:11,200 --> 01:30:12,800
Speaker 1: all I do. I know. I know you can say

1616
01:30:12,800 --> 01:30:16,400
Speaker 1: a priest of Mark, I complete you. I'm not going

1617
01:30:16,479 --> 01:30:21,240
Speaker 1: that far. Buck. It's all right with Tululah. Man. I

1618
01:30:21,320 --> 01:30:24,200
Speaker 1: gotta say, I've never been so thankful to have a

1619
01:30:24,280 --> 01:30:27,400
Speaker 1: little a little furry, a little furry companion. You know,

1620
01:30:27,520 --> 01:30:29,400
Speaker 1: it's just nice to have. I mean, if I didn't

1621
01:30:29,400 --> 01:30:31,840
Speaker 1: have her, all I've got here is a plant. Uh

1622
01:30:32,200 --> 01:30:33,880
Speaker 1: and it's not a it's not a plant that I

1623
01:30:33,960 --> 01:30:37,680
Speaker 1: think is you know, gonna be hopefully it lasts through

1624
01:30:37,720 --> 01:30:39,599
Speaker 1: this pandemic. I'm not great at keeping a plant alive.

1625
01:30:39,680 --> 01:30:41,960
Speaker 1: The dog, I'm very good at feeding because if I don't,

1626
01:30:42,000 --> 01:30:45,439
Speaker 1: she she lets me know that my culinary efforts are

1627
01:30:45,479 --> 01:30:47,120
Speaker 1: not up to par. And no one will think you're

1628
01:30:47,160 --> 01:30:49,280
Speaker 1: going crazy because you're talking to the dog, not to yourself.

1629
01:30:49,720 --> 01:30:51,840
Speaker 1: That's that's true too. I mean I do talk to

1630
01:30:51,880 --> 01:30:54,160
Speaker 1: the dog a lot. Now, I will say that occasionally,

1631
01:30:54,160 --> 01:30:55,639
Speaker 1: I have to make sure that the mic is often

1632
01:30:55,720 --> 01:30:58,680
Speaker 1: here because I find myself making up songs to sing

1633
01:30:58,760 --> 01:31:01,320
Speaker 1: to the dog. Like that's how you know those old

1634
01:31:01,400 --> 01:31:03,519
Speaker 1: videos where they got guys who were in prison, and

1635
01:31:03,600 --> 01:31:07,080
Speaker 1: they'll be like, you know, twenty five bottles of beer

1636
01:31:07,240 --> 01:31:09,000
Speaker 1: on the wall. You know, there's all that. I'm kind

1637
01:31:09,040 --> 01:31:11,080
Speaker 1: of a dad phase, except I'm singing songs to the

1638
01:31:11,200 --> 01:31:13,519
Speaker 1: dog just out of curiosity. Do you think I just

1639
01:31:13,560 --> 01:31:15,320
Speaker 1: sit here in my living room and listen to see

1640
01:31:15,320 --> 01:31:18,200
Speaker 1: if I can hear you all day? No, but I'm

1641
01:31:18,240 --> 01:31:20,320
Speaker 1: just paranoid. If anybody heard me singing, they'd be like,

1642
01:31:20,360 --> 01:31:22,439
Speaker 1: I think this guy's out of his mind. It's a

1643
01:31:22,520 --> 01:31:24,360
Speaker 1: good point. I'd be more worried about your neighbors than

1644
01:31:24,360 --> 01:31:27,599
Speaker 1: the microphone though. Yeah, that's that's that's definitely true. Um,

1645
01:31:27,920 --> 01:31:29,960
Speaker 1: you know the neighbors that I've got a neighbor upstairs

1646
01:31:30,320 --> 01:31:32,200
Speaker 1: and he does cough sometimes, and I'll tell you this,

1647
01:31:32,320 --> 01:31:35,200
Speaker 1: I hear that cough and I go, oh boy, oh boy,

1648
01:31:36,280 --> 01:31:38,320
Speaker 1: cough For a loud basse from upstairs because I have

1649
01:31:38,439 --> 01:31:41,280
Speaker 1: the basse problem. What is it with people not understanding

1650
01:31:41,320 --> 01:31:44,679
Speaker 1: the bass travels right through floors and walls and ceilings,

1651
01:31:44,840 --> 01:31:47,439
Speaker 1: and someone very disruptive like I have a sound bar.

1652
01:31:47,800 --> 01:31:50,080
Speaker 1: I turned the bass off because I didn't want to

1653
01:31:50,120 --> 01:31:52,400
Speaker 1: annoy my neighbors. I will tell you that I had

1654
01:31:52,439 --> 01:31:55,160
Speaker 1: a very terset exchange with the neighbor in the Freedom Hut,

1655
01:31:55,960 --> 01:31:57,840
Speaker 1: or he's a neighbor to the Freedom Hut, I should say.

1656
01:31:58,120 --> 01:32:01,320
Speaker 1: And I had to go downstairs, and initially he wanted

1657
01:32:01,360 --> 01:32:04,040
Speaker 1: me to do the whole well was it just loud

1658
01:32:04,200 --> 01:32:06,479
Speaker 1: ten minutes ago or twenty minutes ago? And I just

1659
01:32:06,640 --> 01:32:10,599
Speaker 1: was like, dude, it's too blanking loud. I don't want

1660
01:32:10,640 --> 01:32:12,080
Speaker 1: to have to come down here again. You know. It's

1661
01:32:12,120 --> 01:32:14,439
Speaker 1: one of those conversations. So yeah, I'd just let my

1662
01:32:14,560 --> 01:32:16,960
Speaker 1: landlord deal with it. It's probably and right now I

1663
01:32:17,000 --> 01:32:18,800
Speaker 1: don't want to go talk to random people, you know,

1664
01:32:18,920 --> 01:32:20,920
Speaker 1: with a mask on all that. Yeah, I mean, I really,

1665
01:32:21,000 --> 01:32:23,120
Speaker 1: I I'm just lucky that he didn't probably look at

1666
01:32:23,160 --> 01:32:25,080
Speaker 1: me and say, oh, I'm sorry my music was too loud.

1667
01:32:26,760 --> 01:32:28,439
Speaker 1: It's all he said. All you have to do right

1668
01:32:28,520 --> 01:32:31,360
Speaker 1: now are running I'm gonna say that. Look, if someone

1669
01:32:31,439 --> 01:32:33,080
Speaker 1: comes up to you on the street, especially in New York,

1670
01:32:33,080 --> 01:32:34,840
Speaker 1: because we're not really allowed to be armed at all,

1671
01:32:34,920 --> 01:32:37,680
Speaker 1: which is appalling, but we're not. If someone comes up

1672
01:32:37,680 --> 01:32:38,519
Speaker 1: to you on the street and they say, you know,

1673
01:32:38,600 --> 01:32:41,519
Speaker 1: give me all your money, you you let off a real,

1674
01:32:41,800 --> 01:32:44,519
Speaker 1: a real hacking cough in their face. Well hopefully if

1675
01:32:44,520 --> 01:32:45,880
Speaker 1: they they don't want to do this they have a gun,

1676
01:32:45,920 --> 01:32:48,360
Speaker 1: because that might end up very badly. But they're they're

1677
01:32:48,360 --> 01:32:50,559
Speaker 1: just threatening to like beat you up, they'll probably run away.

1678
01:32:51,000 --> 01:32:53,280
Speaker 1: I wouldn't. I wouldn't fight somebody who was coughing right now.

1679
01:32:53,280 --> 01:32:55,639
Speaker 1: I don't care what the circumstances were. I don't think

1680
01:32:55,640 --> 01:32:58,640
Speaker 1: i'd fight somebody who was coughing period anytime, Yeah, but

1681
01:32:58,760 --> 01:33:05,160
Speaker 1: particularly now. Yes, all right, Graham rights on the subway

1682
01:33:05,680 --> 01:33:09,439
Speaker 1: spread thesis, which makes sense to me? Are we seeing? Oh? Yes, Graham.

1683
01:33:09,479 --> 01:33:11,800
Speaker 1: This was written about, by the way, last Wednesday in

1684
01:33:11,880 --> 01:33:14,240
Speaker 1: the New York Post. That is actually where the story

1685
01:33:14,400 --> 01:33:16,240
Speaker 1: was broken. Just in case any of you were wondering.

1686
01:33:16,280 --> 01:33:20,920
Speaker 1: It was a New York Post story about an MIT study,

1687
01:33:21,360 --> 01:33:23,760
Speaker 1: and I cited the author here on the show, and

1688
01:33:23,880 --> 01:33:25,760
Speaker 1: I thank I want a hat tip and thank the

1689
01:33:25,840 --> 01:33:29,439
Speaker 1: New York Post for putting that story out there so

1690
01:33:29,600 --> 01:33:34,479
Speaker 1: that we could all use the spread this academic research

1691
01:33:34,800 --> 01:33:36,800
Speaker 1: far and wide in a way that is useful for

1692
01:33:36,840 --> 01:33:39,960
Speaker 1: the national and ongoing conversation. So high five New York

1693
01:33:40,040 --> 01:33:43,639
Speaker 1: Post hat tip. But yes, you're right. Are we seeing

1694
01:33:43,680 --> 01:33:46,280
Speaker 1: similar issues in San Francisco or other cities with high

1695
01:33:46,360 --> 01:33:51,200
Speaker 1: utilization of public transit? Chicago, Seattle, etc. I know, no

1696
01:33:51,400 --> 01:33:53,759
Speaker 1: US city really comparison to New York City, but aren't

1697
01:33:53,800 --> 01:33:58,640
Speaker 1: there a few that kind of do? We are not

1698
01:33:58,920 --> 01:34:01,760
Speaker 1: seeing it yet what I understand, But remember, the New

1699
01:34:01,840 --> 01:34:06,559
Speaker 1: York City Subway is in a category by itself. When

1700
01:34:06,600 --> 01:34:09,080
Speaker 1: you look at the numbers and the frequency of ridership,

1701
01:34:09,760 --> 01:34:12,240
Speaker 1: there's nothing that's even close across the nation. I mean,

1702
01:34:12,280 --> 01:34:17,479
Speaker 1: it really is between it's a few million rides a day,

1703
01:34:18,280 --> 01:34:21,880
Speaker 1: a few million. Think about that. It's someone like me

1704
01:34:22,200 --> 01:34:23,720
Speaker 1: for a while there at the beginning of this year,

1705
01:34:23,760 --> 01:34:25,439
Speaker 1: I was in the subway four times a day. I mean,

1706
01:34:25,479 --> 01:34:27,000
Speaker 1: producer Mark will tell you I was actually on the

1707
01:34:27,040 --> 01:34:30,479
Speaker 1: subway four separate trips a day. So we because because

1708
01:34:30,479 --> 01:34:33,200
Speaker 1: if you try to drive around Manhattan, if you if

1709
01:34:33,200 --> 01:34:35,160
Speaker 1: you're on any kind of a time crunch schedule, you're

1710
01:34:35,160 --> 01:34:36,680
Speaker 1: just going to sit in traffic all day. I mean,

1711
01:34:36,760 --> 01:34:40,679
Speaker 1: I've for hits for a different cable, for cable news shows.

1712
01:34:40,720 --> 01:34:42,600
Speaker 1: I'll tell you a little bit of insidery stuff. You know,

1713
01:34:42,680 --> 01:34:45,240
Speaker 1: they send a I mean, this isn't like cool insidery stuff,

1714
01:34:45,240 --> 01:34:46,760
Speaker 1: but they'll send a car for you. Usually that's the

1715
01:34:46,800 --> 01:34:48,800
Speaker 1: one perk if you're unpaid, which most of the people

1716
01:34:48,840 --> 01:34:51,679
Speaker 1: you see on TV are not by these big cable networks,

1717
01:34:51,760 --> 01:34:53,120
Speaker 1: or a lot of the people I should say are not.

1718
01:34:53,280 --> 01:34:55,760
Speaker 1: The host obviously are, and the correspondence are. If they

1719
01:34:55,800 --> 01:34:57,960
Speaker 1: call someone a contributor, that means they're getting paid. If

1720
01:34:58,000 --> 01:34:59,760
Speaker 1: you're just a guest, they're like, hey, it's buck, let's

1721
01:34:59,840 --> 01:35:03,160
Speaker 1: let talk. But you know, you could sit in a

1722
01:35:03,240 --> 01:35:05,880
Speaker 1: car from my from my house to Fox News, you

1723
01:35:05,960 --> 01:35:09,840
Speaker 1: can walk in fifteen minutes or so, or you could

1724
01:35:09,880 --> 01:35:11,760
Speaker 1: sit in a car and it might take it thirty

1725
01:35:11,840 --> 01:35:14,439
Speaker 1: minutes to get there, maybe forty. I mean, it's really

1726
01:35:14,560 --> 01:35:16,360
Speaker 1: can mean you could just get stuck and stuck. So

1727
01:35:16,400 --> 01:35:17,920
Speaker 1: that's why it runs on the subway all the time.

1728
01:35:18,120 --> 01:35:22,040
Speaker 1: I have not seen any data looking at other cities

1729
01:35:22,479 --> 01:35:24,680
Speaker 1: and their spread, but I just know off the top

1730
01:35:24,720 --> 01:35:27,040
Speaker 1: of my head that there's nowhere else. I mean, the

1731
01:35:27,160 --> 01:35:30,320
Speaker 1: DC Metro is like a tiny fraction of the New

1732
01:35:30,400 --> 01:35:33,240
Speaker 1: York City metro system. And because it's a tiny fraction,

1733
01:35:33,280 --> 01:35:34,640
Speaker 1: you have to remember the dead. You know that that

1734
01:35:35,680 --> 01:35:41,320
Speaker 1: MIT study published in the New York Post was pointing

1735
01:35:41,360 --> 01:35:44,080
Speaker 1: out that it's it's about the density on the subway

1736
01:35:44,160 --> 01:35:46,479
Speaker 1: car as well as the duration of the subway ride.

1737
01:35:46,880 --> 01:35:48,840
Speaker 1: Then look, maybe the theory is wrong, and you know

1738
01:35:48,840 --> 01:35:50,559
Speaker 1: what I'll do. I'm gonna look around. I'm sure there's

1739
01:35:50,600 --> 01:35:52,479
Speaker 1: some theories now trying to debunk it out there, and

1740
01:35:52,520 --> 01:35:55,000
Speaker 1: maybe it is debunked in some way. But it certainly

1741
01:35:55,080 --> 01:35:56,880
Speaker 1: makes sense when you look at the hotspots. And I've

1742
01:35:56,880 --> 01:35:59,080
Speaker 1: been talking about the subway along as a major problem here,

1743
01:35:59,080 --> 01:36:00,880
Speaker 1: and there's a reason why producer Mark and I both

1744
01:36:01,200 --> 01:36:03,240
Speaker 1: started stand off a mass transit when this thing really

1745
01:36:03,280 --> 01:36:05,840
Speaker 1: spiral out of control. But so the instagram is I

1746
01:36:05,840 --> 01:36:07,880
Speaker 1: gonna look into it. I I don't have a good

1747
01:36:07,920 --> 01:36:12,559
Speaker 1: answer for you, JJ. I just want to say something

1748
01:36:12,560 --> 01:36:16,760
Speaker 1: about the whole snitch sitch in Garcettiville. As of a

1749
01:36:16,800 --> 01:36:18,600
Speaker 1: year ago, the city of Los Angeles was running a

1750
01:36:18,680 --> 01:36:21,080
Speaker 1: one billion dollar deficit, Yet somehow he thinks he can

1751
01:36:21,120 --> 01:36:24,120
Speaker 1: afford to pay people to rat on those who aren't

1752
01:36:24,439 --> 01:36:28,360
Speaker 1: properly social distancing. I mean, the taxes on pot sales

1753
01:36:28,400 --> 01:36:32,040
Speaker 1: are approximately fifty percent, but I have no idea how

1754
01:36:32,080 --> 01:36:35,479
Speaker 1: he intends to put this bill. Also, I don't know

1755
01:36:35,520 --> 01:36:38,120
Speaker 1: if you have heard about this, but Garcetti has simply

1756
01:36:38,200 --> 01:36:41,400
Speaker 1: started taking over hotel properties and using them for the homeless.

1757
01:36:41,439 --> 01:36:45,600
Speaker 1: I have heard about that. Furthermore, Comrade Newsome, I like

1758
01:36:45,760 --> 01:36:49,559
Speaker 1: this guy JJ. Comrade Newsome has also started shaming other

1759
01:36:49,640 --> 01:36:52,320
Speaker 1: cities and counties for not following his example. While I

1760
01:36:52,400 --> 01:36:55,240
Speaker 1: lived near Los Angeles, the hotel I work at, thankfully

1761
01:36:55,320 --> 01:36:57,880
Speaker 1: is still in Orange County and has not yet been

1762
01:36:58,040 --> 01:37:02,800
Speaker 1: endangered by this reckless, fiscally irresponsible policy. Given that the

1763
01:37:02,880 --> 01:37:05,879
Speaker 1: situation does not fall under eminent domain, How can Garcetti

1764
01:37:06,040 --> 01:37:09,800
Speaker 1: or anyone else justify this seizure of property? Who will

1765
01:37:09,880 --> 01:37:13,040
Speaker 1: pay to have the hotel staff and police, who will

1766
01:37:13,080 --> 01:37:15,640
Speaker 1: pay to have the properties deep cleaned and sanitized sterilized

1767
01:37:15,680 --> 01:37:18,360
Speaker 1: if they can actually evict the homeless squatters after the

1768
01:37:18,439 --> 01:37:22,360
Speaker 1: crisis abates. I'm a born and raised Californian, but I

1769
01:37:22,439 --> 01:37:24,800
Speaker 1: am seriously fed up. Sadly, I'm not in a position

1770
01:37:24,840 --> 01:37:26,599
Speaker 1: financially to be able to move. But we'll definitely start

1771
01:37:26,640 --> 01:37:28,840
Speaker 1: a fun toward that goal as soon as maybe. Well, JJ,

1772
01:37:29,000 --> 01:37:30,920
Speaker 1: you've always got a home in the hut, my friend. Great,

1773
01:37:31,000 --> 01:37:33,240
Speaker 1: great note, Thank you so much for writing into us.

1774
01:37:34,080 --> 01:37:35,920
Speaker 1: And I don't have answer. You're asking great questions. I

1775
01:37:35,960 --> 01:37:42,640
Speaker 1: don't have answers. I don't pretend unlike some other smarmy,

1776
01:37:43,240 --> 01:37:46,519
Speaker 1: self important and nasty radio hosts, I don't pretend to

1777
01:37:46,560 --> 01:37:48,160
Speaker 1: have all the answers. I just have a lot of them.

1778
01:37:49,120 --> 01:37:53,479
Speaker 1: And as for Garcetti and how he's gonna justify this,

1779
01:37:53,600 --> 01:37:55,680
Speaker 1: we're seeing a lot of government power that's taken into

1780
01:37:55,680 --> 01:37:58,080
Speaker 1: people's hands right now. We're The only justification is because

1781
01:37:58,120 --> 01:38:01,720
Speaker 1: I said so. That should be troubling for people. That's

1782
01:38:01,720 --> 01:38:04,160
Speaker 1: a troubling precedent for the government to set, isn't it.

1783
01:38:04,280 --> 01:38:06,160
Speaker 1: We should think of this and think of what it

1784
01:38:06,280 --> 01:38:09,160
Speaker 1: really means when the government can do that. It is

1785
01:38:09,640 --> 01:38:14,360
Speaker 1: a concern that we should all share. You're in the

1786
01:38:14,520 --> 01:38:17,840
Speaker 1: Freedom Hunt. This is the Buck Sex and Show podcast.

1787
01:38:21,560 --> 01:38:25,120
Speaker 1: All right, more roll call justin Hey there, Bucking Mark.

1788
01:38:25,320 --> 01:38:27,320
Speaker 1: The interview with Jack Carr the other day got me

1789
01:38:27,439 --> 01:38:30,800
Speaker 1: thinking of comments you've made several times buck, you really

1790
01:38:30,880 --> 01:38:33,560
Speaker 1: need to get your pistol permit Livy in Massachusetts. I

1791
01:38:33,640 --> 01:38:35,680
Speaker 1: know it's not always an easy process, but that is

1792
01:38:35,760 --> 01:38:39,080
Speaker 1: definitely by design. Like so many other lib tactics, they

1793
01:38:39,120 --> 01:38:41,960
Speaker 1: actually use the process as the punishment. Suck it up

1794
01:38:41,960 --> 01:38:43,880
Speaker 1: and get it done. You'll thank me later, I promise.

1795
01:38:43,920 --> 01:38:47,000
Speaker 1: Stay healthy and safe in lockdown. Justin, you're one hundred

1796
01:38:47,000 --> 01:38:49,640
Speaker 1: percent correct, and I don't have a good excuse. My

1797
01:38:49,760 --> 01:38:52,280
Speaker 1: excuse is that the process is the punishment. I can

1798
01:38:52,400 --> 01:38:54,800
Speaker 1: tell you that when I moved from DC to New

1799
01:38:54,920 --> 01:38:59,280
Speaker 1: York this past summer, I did print out the New

1800
01:38:59,360 --> 01:39:02,960
Speaker 1: York City still permit application and was and then I

1801
01:39:03,120 --> 01:39:05,120
Speaker 1: just got distracted and I was like, I don't have

1802
01:39:05,200 --> 01:39:06,760
Speaker 1: time for this right now. But I mean I've been

1803
01:39:06,840 --> 01:39:09,680
Speaker 1: thinking about it. I know people who have successfully done it.

1804
01:39:09,760 --> 01:39:12,479
Speaker 1: It is possible. It's really just a premise. Permit to

1805
01:39:12,560 --> 01:39:15,760
Speaker 1: get your concealed carry here is very complicated and not

1806
01:39:15,960 --> 01:39:18,360
Speaker 1: easy to do and usually gets denied unless you're connected,

1807
01:39:18,439 --> 01:39:24,360
Speaker 1: unless you're somebody who's you know, hooked up. So yeah, uh,

1808
01:39:24,720 --> 01:39:27,080
Speaker 1: that's where that's where it's out, my friend. You're correct, Justin,

1809
01:39:27,120 --> 01:39:28,880
Speaker 1: I should I should have a pistol permit here in

1810
01:39:29,040 --> 01:39:32,280
Speaker 1: New York City, and when I do, which won't really

1811
01:39:32,280 --> 01:39:33,960
Speaker 1: be able to happen because I'm not I don't think

1812
01:39:33,960 --> 01:39:35,639
Speaker 1: I'm gonna wait in a long line at one Police

1813
01:39:35,680 --> 01:39:38,040
Speaker 1: Plaza right now to although maybe there are no lines

1814
01:39:38,080 --> 01:39:39,800
Speaker 1: at one Police Maybe it's like the easiest time ever.

1815
01:39:40,000 --> 01:39:43,000
Speaker 1: One Police Plaza is the big NYPD headquarters here. It

1816
01:39:43,200 --> 01:39:47,320
Speaker 1: looks like something that was built as like the KGB's

1817
01:39:47,320 --> 01:39:52,400
Speaker 1: interrogation headquarters. It's the ugliest, ugliest building you've ever seen

1818
01:39:52,439 --> 01:39:56,599
Speaker 1: in your life. Definitely not our deco as our Tribeca

1819
01:39:56,680 --> 01:39:59,360
Speaker 1: headquarters for I Hard Media is, which producer Mark pointed

1820
01:39:59,360 --> 01:40:01,800
Speaker 1: out sometime go because he's apparently on the side an

1821
01:40:01,880 --> 01:40:06,360
Speaker 1: architecture enthusiast. Yeah, big architecture enthusiast, even though the only

1822
01:40:06,439 --> 01:40:09,040
Speaker 1: architecture I see right now is the inside of my

1823
01:40:09,120 --> 01:40:13,280
Speaker 1: apartment building. Well, what do you do you have any

1824
01:40:13,320 --> 01:40:15,360
Speaker 1: kind of a yeah, gotta you gotta view? Can you see?

1825
01:40:15,640 --> 01:40:17,639
Speaker 1: Can you see water? So? Yeah, there's like a swamp,

1826
01:40:18,280 --> 01:40:20,120
Speaker 1: and so do you have do you have meadow lands

1827
01:40:20,200 --> 01:40:22,240
Speaker 1: kind of you you know that, yeah, metal lands type

1828
01:40:22,240 --> 01:40:24,080
Speaker 1: of view. And I can get a lot of train horns.

1829
01:40:24,120 --> 01:40:26,360
Speaker 1: You would be you would be driven nuts because there's

1830
01:40:26,360 --> 01:40:28,720
Speaker 1: a train horner in every five to ten minutes. When

1831
01:40:28,760 --> 01:40:31,080
Speaker 1: I lived in college, I I when I where I

1832
01:40:31,240 --> 01:40:35,479
Speaker 1: was in college for one year was fifty yards from

1833
01:40:35,520 --> 01:40:41,479
Speaker 1: an active railroad track. And you know why they blow

1834
01:40:41,560 --> 01:40:46,160
Speaker 1: the horn? There's no gate crossing here. It drives me nuts. Yeah,

1835
01:40:46,400 --> 01:40:48,400
Speaker 1: I don't, I don't know. They just do it. I guess,

1836
01:40:48,439 --> 01:40:50,479
Speaker 1: you know. I look, if you're a train engineer, and

1837
01:40:50,560 --> 01:40:53,479
Speaker 1: I'm sure like everything, there's always like a train engineer list,

1838
01:40:53,520 --> 01:40:55,519
Speaker 1: there's always somebody who's an actual expert on whatever I'm

1839
01:40:55,520 --> 01:40:58,759
Speaker 1: talking about. Listening to this show. Um, I'll never forget

1840
01:40:58,800 --> 01:41:01,800
Speaker 1: when I like miss when I misidentified an aspect of

1841
01:41:02,000 --> 01:41:04,400
Speaker 1: like Wiccan theology, I got a long email about that.

1842
01:41:05,280 --> 01:41:07,519
Speaker 1: Not messing with the Wickens. Lee folks are all great.

1843
01:41:07,880 --> 01:41:10,840
Speaker 1: Just I just didn't know. But you know, the a

1844
01:41:10,920 --> 01:41:12,799
Speaker 1: train engineer, I feel like, if you're the train engineer,

1845
01:41:12,960 --> 01:41:15,479
Speaker 1: come on, you know you're gonna want to go, you know, man,

1846
01:41:15,720 --> 01:41:17,479
Speaker 1: you know, it's it's like being a it's you know

1847
01:41:17,520 --> 01:41:19,519
Speaker 1: what you and you ask a trucker to hit the

1848
01:41:19,600 --> 01:41:21,000
Speaker 1: horn for you when you're a kid, you know, to

1849
01:41:21,120 --> 01:41:23,320
Speaker 1: do the big horn whatever? You what do you call

1850
01:41:23,400 --> 01:41:28,360
Speaker 1: that thing. I don't know, the horn or just the horn. Yeah, yeah,

1851
01:41:28,520 --> 01:41:30,400
Speaker 1: you know, that's I think. If you're a train engineer,

1852
01:41:30,479 --> 01:41:32,600
Speaker 1: you just want to let it rip right, sure, but

1853
01:41:32,760 --> 01:41:34,960
Speaker 1: can you do it somewhere else? Again, it's the busiest

1854
01:41:35,000 --> 01:41:37,680
Speaker 1: corridor of rail travel in the country, But you know,

1855
01:41:37,800 --> 01:41:39,559
Speaker 1: do it somewhere else, not in near an apartment building.

1856
01:41:39,840 --> 01:41:41,280
Speaker 1: You may or may not. I think I've talked to

1857
01:41:41,479 --> 01:41:43,240
Speaker 1: this before here, but you may. I don't know that

1858
01:41:43,320 --> 01:41:45,519
Speaker 1: I've gone on. I've gone deep down the rabbit hole

1859
01:41:46,080 --> 01:41:51,120
Speaker 1: of why we have backup machine sound all over the country.

1860
01:41:51,560 --> 01:41:54,479
Speaker 1: This you know, beep beep beep. Now we all have

1861
01:41:54,560 --> 01:41:57,120
Speaker 1: to hear all the time, and sometimes it'll be for

1862
01:41:58,160 --> 01:42:01,439
Speaker 1: like the equivalent of like an door Zamboni machine or something.

1863
01:42:01,479 --> 01:42:04,160
Speaker 1: It's going like three miles an hour. No one's going

1864
01:42:04,200 --> 01:42:05,840
Speaker 1: to get hit by this thing, but they still have

1865
01:42:05,960 --> 01:42:09,320
Speaker 1: to because of the ocean. It's an OSHA regulation Occupational

1866
01:42:09,960 --> 01:42:15,080
Speaker 1: Safety Hazard Administration, or whatever the actual acronym is, And

1867
01:42:15,280 --> 01:42:17,960
Speaker 1: it stretches back to the seventies when someone came up

1868
01:42:17,960 --> 01:42:20,280
Speaker 1: with this idea that we all have to have these noisemakers.

1869
01:42:20,520 --> 01:42:22,320
Speaker 1: Do you know what ends up happening in most cases?

1870
01:42:22,360 --> 01:42:25,400
Speaker 1: When someone actually is is hit by a car or

1871
01:42:25,400 --> 01:42:27,080
Speaker 1: a truck that's backing up. You know what, They find

1872
01:42:27,120 --> 01:42:29,679
Speaker 1: out that the person heard the noise, but they're seriously

1873
01:42:29,720 --> 01:42:32,599
Speaker 1: hearing it. They didn't pay attention, so it doesn't matter.

1874
01:42:33,439 --> 01:42:36,960
Speaker 1: This is this is anyway, I'll never forget. When I

1875
01:42:37,040 --> 01:42:39,680
Speaker 1: was in college, this kid was a hero. This kid

1876
01:42:39,800 --> 01:42:42,519
Speaker 1: was a hero when I was in college. They because

1877
01:42:42,520 --> 01:42:45,640
Speaker 1: Amherst was very progressive and very left wing. And I

1878
01:42:45,800 --> 01:42:47,960
Speaker 1: lived right right on the town Green there, so I

1879
01:42:48,000 --> 01:42:49,639
Speaker 1: lived near the train tracks one time. Then I lived

1880
01:42:49,680 --> 01:42:53,000
Speaker 1: near the town Green, which was very fancy, but it

1881
01:42:53,080 --> 01:42:54,519
Speaker 1: was all college housing. But I mean, it was the

1882
01:42:54,600 --> 01:42:56,840
Speaker 1: nice part of the college to live in. But there

1883
01:42:56,960 --> 01:43:00,120
Speaker 1: was a cross a crosswalk thing that would do the

1884
01:43:00,240 --> 01:43:06,600
Speaker 1: like you have twenty seconds to cross nineteen eighteen. It

1885
01:43:06,680 --> 01:43:09,719
Speaker 1: was the dumbest thing and it would go twenty four second.

1886
01:43:09,720 --> 01:43:12,360
Speaker 1: That elite makes sense because blind people need to be

1887
01:43:12,439 --> 01:43:15,280
Speaker 1: able to cross the street. Ah. Now I feel like

1888
01:43:15,400 --> 01:43:20,640
Speaker 1: Seinfeld when he's saying that, you know, college thanks. Now

1889
01:43:20,640 --> 01:43:22,800
Speaker 1: I feel like a jerk. But I'm just saying I

1890
01:43:22,920 --> 01:43:26,080
Speaker 1: remember some kids and I'm sure they were hungover, and

1891
01:43:26,320 --> 01:43:28,400
Speaker 1: you know they and it was you know, or actually

1892
01:43:28,400 --> 01:43:30,040
Speaker 1: they were drunk, not hungover, but it was the middle

1893
01:43:30,040 --> 01:43:31,880
Speaker 1: of the night. I remember seeing them from my window

1894
01:43:31,920 --> 01:43:33,799
Speaker 1: and I knew who they were. They were lacrosse players

1895
01:43:34,120 --> 01:43:36,120
Speaker 1: to this. Well, this one kid, actually the other kid

1896
01:43:36,160 --> 01:43:37,800
Speaker 1: was standing in the corner and he ran across the

1897
01:43:37,840 --> 01:43:41,600
Speaker 1: street with a golf putter and just just maul the

1898
01:43:41,680 --> 01:43:44,960
Speaker 1: little you know you have nineteens, like just just bashed

1899
01:43:45,040 --> 01:43:51,040
Speaker 1: the thing in. It was like, whoa, So the lax bros. Oh,

1900
01:43:51,120 --> 01:43:53,680
Speaker 1: the lax bros are crazy, crazy bunch. But man, I

1901
01:43:53,800 --> 01:43:55,680
Speaker 1: slept so much better for the few weeks it took

1902
01:43:55,720 --> 01:43:57,799
Speaker 1: them to actually come back with you know, town services

1903
01:43:57,840 --> 01:44:00,800
Speaker 1: to fix that thing. It was fantastic, fantastic and a

1904
01:44:00,880 --> 01:44:03,320
Speaker 1: bunch of people couldn't cross the street. There were no

1905
01:44:03,479 --> 01:44:06,519
Speaker 1: fatalities in the crosswalk. There were like ten people living

1906
01:44:06,560 --> 01:44:09,960
Speaker 1: in the town. But yeah, now I didn't think about

1907
01:44:10,560 --> 01:44:12,560
Speaker 1: thanks produiser, Mark, I didn't think about that aspect of it.

1908
01:44:12,680 --> 01:44:17,800
Speaker 1: All Right, Bill, sir, where will you be in North

1909
01:44:17,840 --> 01:44:20,439
Speaker 1: Carolina for your speech? I would like to attend and

1910
01:44:20,439 --> 01:44:22,519
Speaker 1: pass the word amongst my people really enjoy your show.

1911
01:44:22,680 --> 01:44:25,280
Speaker 1: Bill the speech, assuming that we're allowed to hold it

1912
01:44:25,479 --> 01:44:27,720
Speaker 1: by state regulation, which we think we will, but that

1913
01:44:27,880 --> 01:44:30,240
Speaker 1: is that is an if. Right now, We'll be in

1914
01:44:30,439 --> 01:44:33,559
Speaker 1: Craven County, Craven County, North Carolina, So that's where I'll

1915
01:44:33,560 --> 01:44:35,439
Speaker 1: be giving a speech and I hope everybody will show up.

1916
01:44:35,479 --> 01:44:39,320
Speaker 1: Craven County GOP will be hosting, and we're just gonna

1917
01:44:39,320 --> 01:44:41,840
Speaker 1: be quite an event. Man. We're gonna oh, We're gonna

1918
01:44:41,880 --> 01:44:46,080
Speaker 1: let it rip. That night, Eric Buck reading Porter's article

1919
01:44:46,080 --> 01:44:49,879
Speaker 1: in American Consequences left me reminiscing on early investiment hour episode.

1920
01:44:49,960 --> 01:44:52,599
Speaker 1: Still a great show with Dan Ferris, but to be honest,

1921
01:44:52,640 --> 01:44:54,960
Speaker 1: the Porter Buck combo was about as epic as podcast.

1922
01:44:55,080 --> 01:44:58,120
Speaker 1: Get any chance you could get Porter on for an interview, Eric,

1923
01:44:58,160 --> 01:45:00,479
Speaker 1: I'm gonna tell you this is the truth. During this

1924
01:45:00,600 --> 01:45:03,000
Speaker 1: show and one and one of our breaks, I got

1925
01:45:03,080 --> 01:45:05,120
Speaker 1: a text from my man, Porter Stansbury, because you know

1926
01:45:05,160 --> 01:45:07,200
Speaker 1: we talk all the time, and I said, Porter, we

1927
01:45:07,280 --> 01:45:09,479
Speaker 1: gotta get you on this show. So the answer is yes,

1928
01:45:09,760 --> 01:45:13,640
Speaker 1: and I'm not I swear I got it before you

1929
01:45:13,720 --> 01:45:16,479
Speaker 1: even asked. So we must have some kind of mind

1930
01:45:16,520 --> 01:45:19,000
Speaker 1: meld here or something. We'll get Porter Stansbury on and

1931
01:45:19,080 --> 01:45:20,960
Speaker 1: we'll do a longer form with him too. I hope

1932
01:45:21,000 --> 01:45:22,840
Speaker 1: you've all been producer mark. Where should people go to

1933
01:45:23,040 --> 01:45:27,080
Speaker 1: hear the podcast extras to watch our videos, Please tell

1934
01:45:27,120 --> 01:45:29,320
Speaker 1: them where to promote the things. The podcast extras are

1935
01:45:29,360 --> 01:45:31,519
Speaker 1: the same place you get this podcast. It'll come into

1936
01:45:31,520 --> 01:45:36,120
Speaker 1: the same RSS feeds, so everywhere iTunes excuse me, Apple Podcast,

1937
01:45:36,479 --> 01:45:39,760
Speaker 1: our radio app, Spotify, all that, and on YouTube it'll

1938
01:45:39,800 --> 01:45:42,680
Speaker 1: be YouTube dot com, slash Buck Sexum there we go.

1939
01:45:43,160 --> 01:45:47,120
Speaker 1: Please subscribe. Also share what we're putting out there so

1940
01:45:47,240 --> 01:45:49,280
Speaker 1: people can see it. Tell other family members. That's a

1941
01:45:49,320 --> 01:45:52,519
Speaker 1: great way to expand Team Buck and we really appreciate

1942
01:45:52,560 --> 01:45:55,200
Speaker 1: it every time you can do that. And yeah, we're

1943
01:45:55,240 --> 01:45:57,400
Speaker 1: gonna be doing some long form with Porter. We had

1944
01:45:57,720 --> 01:46:00,960
Speaker 1: we have James al Tucca. Today, we have we had

1945
01:46:01,080 --> 01:46:02,920
Speaker 1: Ted NuGen. We got a lot of people in the queue.

1946
01:46:02,920 --> 01:46:06,880
Speaker 1: It's gonna be fantastic. Team Stay Strong, Stay Safe, Shields High,