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Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal

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Speaker 1: and Sager. We're going to be totally upfront with you.

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Speaker 1: We took a big risk going independent to make this work.

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Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC.

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Speaker 1: They are ripping this country apart. They are making millions

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Speaker 1: of dollars doing it to help support our mission of

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Speaker 1: making all of us hate each other, less hate the

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Speaker 1: corrupt ruling class more support the show. Become a Breaking

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Speaker 1: Points Premium Member today, where you get to watch and

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Speaker 1: listen to the entire show ad free and uncut, an

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Speaker 1: hour early before everyone else. You get to hear our

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Speaker 1: reactions to each other's monologues. You get to participate and

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Speaker 1: weekly ask me any things, and you don't need to

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Speaker 1: hear our annoying voices pitching you like I am right now,

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Speaker 1: So what are you waiting for? Go to Breakingpoints dot

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Speaker 1: com become a Premium member today, which is available in

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Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody,

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Speaker 1: Happy Wednesday. We have an amazing show for everybody today.

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Speaker 1: Not you're saying that, Crystal, Yeah, good to Ned. I'm

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Speaker 1: glad you were handling that part because I definitely would

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Speaker 1: have gotten confused about the day. Nevertheless, we have a

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Speaker 1: great show for you with many interesting stories that are

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Speaker 1: unfolding right now. Some new polling numbers expose just how

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Speaker 1: interested in a stock band members of the public are.

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Speaker 1: Of course, for members of Congress to be able to

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Speaker 1: buy and sell stock something we've been tracking here very closely.

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Speaker 1: A movement which really started online and has now first

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Speaker 1: big online movement I've seen in a while, has now

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Speaker 1: made it not only in a mainstream discourse, but politicians

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Speaker 1: on the right end the left jockeying should be on

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Speaker 1: the right side of this issue, of course, with some

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Speaker 1: major major roadblocks in their way. So we'll get into

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Speaker 1: those numbers, which a pretty interesting. Also, Secuary of State

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Speaker 1: Tony Blinken headed for some big meetings with top Russian

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Speaker 1: officials as tensions mount in Ukraine. We will sort out

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Speaker 1: as best we can given the intense levels of propaganda,

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Speaker 1: what is fact and what is fiction and what the

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Speaker 1: pathward looks like. There also a viral video of Congressman

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Speaker 1: Dan Crenshaw kind of losing it when he's challenged by

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Speaker 1: a some question over where it's a young girl or

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Speaker 1: young woman, but definite least still revealing it as to

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Speaker 1: how these people think about themselves and how they look

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Speaker 1: at their constituents. Indeed, yes, indeed, so we will tell

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Speaker 1: you about that. Also, the latest effort to censor Joe

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Speaker 1: Rogan and his podcast falls on its faith yet again.

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Speaker 1: And this is interesting. Actually, we have a doctor of

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Speaker 1: vine prosod On, someone who you brought to my attention,

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Speaker 1: who has some really nuanced and fact based analyzes of vaccines,

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Speaker 1: the benefits, the potential side effects, how we should be

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Speaker 1: thinking about all of this. He's just up with a

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Speaker 1: lengthy six thousand word post sorting through a variety of

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Speaker 1: the claims that are actually made on Joe Rogan's podcast.

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Speaker 1: In our opinion, if you have objections to the things

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Speaker 1: that are being said on his pot I Guess or

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Speaker 1: any other platform, this is the way to deal with it.

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Speaker 1: You say, here's the claim, here's the truth, here's the evidence,

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Speaker 1: here's what we know, here's what we don't know. So

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Speaker 1: we're going to have doctor pisad On to help us

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Speaker 1: sort through some of those claims. But we wanted to

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Speaker 1: start with a rather noteworthy moment from Paul mcgauala on

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Speaker 1: CNN where he analyzes the real problem for the Democratic Party.

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Speaker 1: Let's take a listen, Paul, let me start with you

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Speaker 1: and the words of the daughter in law of Martin

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Speaker 1: Luther King Junior, Andrea Waters King. This is what you

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Speaker 1: told political quote. What we have seen with President Biden

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Speaker 1: is what happens when he puts the full force and

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Speaker 1: power behind an issue like infrastructure. What we want to

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Speaker 1: see is that same power and passion being put behind

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Speaker 1: voting rights. Do you think that's fair criticism? Did President

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Speaker 1: Biden put more effort into getting infrastructure passed? For example? Well,

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Speaker 1: he got infrastructure passed, and that's a good thing because

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Speaker 1: success can breed success. He is putting the full force

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Speaker 1: the presidency behind it. I think the problem for the

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Speaker 1: Democrats right now is not that they have bad leaders.

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Speaker 1: They have bad followers. Okay. I read the most amazing

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Speaker 1: essay today from Andy Young. And Andy is former mayor

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Speaker 1: of Atlanta, former U An ambassador, and more importantly, probably

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Speaker 1: the closest confident and aid to doctor King. He told

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Speaker 1: the story December of nineteen sixty four, Andy Young and

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Speaker 1: doctor Martin Luther King Junior go to see Lyndon Johnson

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Speaker 1: to push him for a voting rights Act. Johnson says,

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Speaker 1: I can't do it. I used all my power to

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Speaker 1: get the Civil Rights Act done last year. I don't

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Speaker 1: have the power to push Congress any further on voting rights.

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Speaker 1: As they left the White House, Andy Young's words, he said,

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Speaker 1: I asked softly, asked doctor King what he thought. He said,

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Speaker 1: I think we got to go get the president some power.

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Speaker 1: And so you know what they did. They organized. These

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Speaker 1: are Andy Young's word. We re mobilize the churches, the universities,

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Speaker 1: the labor unions, the business community, a coalition of people

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Speaker 1: of good will. In other words, those of us who

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Speaker 1: want to say voting rights, we need to get to work.

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Speaker 1: I do think Biden is putting everything behind this, but

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Speaker 1: he needs he needs better followers. So you need to

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Speaker 1: all of us in the game as well. I remember,

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Speaker 1: we need better fall followers. The problem isn't Democrats re leaders,

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Speaker 1: it's that they have bad followers. I mean, so for

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Speaker 1: those he can be track at home. You'll remember Paul

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Speaker 1: Bagalla and James Carvill. They were famously the like, it's

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Speaker 1: the economy stupid guys. Now they're the it's you stupid.

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Speaker 1: Apparently that is their approach, and I have to say

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Speaker 1: I have to say too, this sentiment is not just

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Speaker 1: with Paul Bagala. This is the dominant sentiment within the

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Speaker 1: elites of the Democratic Party. Something. It's something that Barack

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Speaker 1: Obama says a little bit more eloquently, but he tends

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Speaker 1: to be like, you know, what happens when you all

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Speaker 1: fail to show up for us, is then we get

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Speaker 1: these Republicans in, and then that's really bad. So even

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Speaker 1: the fact that we disappointed you means you still got

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Speaker 1: to show up for us. And is this attitude of

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Speaker 1: total contempt for apparently like ninety percent of the country

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Speaker 1: that is a big part of the re in that

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Speaker 1: the Democrats are in the terrible straits that they ultimately are.

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Speaker 1: I mean, it started with Hillary Clinton and her basket

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Speaker 1: of deplorables, which apparently is about just a segment of

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Speaker 1: the Trump base. Right then that quickly expanded to include

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Speaker 1: anyone who voted for Donald Trump is evil and bad

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Speaker 1: and wrong, et cetera. Well, now it's just the whole

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Speaker 1: country that is unworthy of the wonderful, enlightened Democratic Party,

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Speaker 1: according to Paul mcgalla. And one more thing that I

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Speaker 1: will say on this, whatever you thought of the George

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Speaker 1: Floyd protest. There is undeniable that we just had the

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Speaker 1: largest protest movement in history. So to be like, why

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Speaker 1: are you all just sitting on your butts and not

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Speaker 1: doing anything is just absurdly insane given that the history,

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Speaker 1: the history that we've lived here just in the past

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Speaker 1: couple of years. I think it's a good point, and

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Speaker 1: it's a big sentiment which dominates the very top of

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Speaker 1: the party, and the disconnect is one which is just

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Speaker 1: so astronomical. You know. I think it was yesterday you

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Speaker 1: and I were talking in the premium discussion post your

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Speaker 1: radar about Democrats donors. But I think this is an

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Speaker 1: important discussion for everybody to hear as well. I was

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Speaker 1: just looking at some of the behind the scenes news

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Speaker 1: and yesterday Chuck Schumer held a meeting with like the

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Speaker 1: ultra rich Democratic Party donors and they were like, you

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Speaker 1: gotta do something on voting rights, Chuck, like this, this

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Speaker 1: and this. Once again, you think what you want about

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Speaker 1: voting rights. But why exactly is the entire country's national

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Speaker 1: political elite focused on voting rights in the filibuster reform

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Speaker 1: when the economy is the number one issue with gas

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Speaker 1: prices for all Americans second to COVID. Neither of those

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Speaker 1: things are being talked here at the top. Well, the

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Speaker 1: party's ultra rich. They're doing fine, not just fine, they're

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Speaker 1: richer than ever. They are identity politics obsessed people who

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Speaker 1: this is there like crowning achievement, And who does the

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Speaker 1: political establishment work for. I really have come to believe

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Speaker 1: that the Democratic Party donor base is actually more out

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Speaker 1: of step with its own base and pretty much the

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Speaker 1: entire country than any donor base that exists out there.

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Speaker 1: And it's a very detrimental thing. These are the tech billionaires,

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Speaker 1: These are the Wall Street billionaires. These are people in Hollywood.

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Speaker 1: I mean, they run our society, but they're also running

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Speaker 1: one of these major parties. And the key to understand

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Speaker 1: about this is not the followers. The followers aren't the problem.

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Speaker 1: It is the leaders, and it's the funders, and the

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Speaker 1: people are revolting. Crystal, go ahead and put this up

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Speaker 1: there on the screen, which is that we now have

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Speaker 1: the latest Wall Street Journal poll here. Hispanic voters are

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Speaker 1: now evenly split between parties. Republicans have made rapid gains

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Speaker 1: amongst the crucial voting demographic that has looked at Democrats.

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Speaker 1: But just go ahead and look at that level of support. Here,

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Speaker 1: we're talking about forty five percent Trump and forty six

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Speaker 1: percent Biden. For if the twenty four election were held today,

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Speaker 1: for whom Hispanics would vote, that's all adults, look at men,

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Speaker 1: it's fifty six percent fifty six So the only thing

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Speaker 1: that really evens it out is the disparate treatment between

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Speaker 1: Hispanic men and Hispanic women. But that is just a

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Speaker 1: stunning figure. And it actually in terms of the generic

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Speaker 1: ballot which candidate you would support for Congress, the GOP

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Speaker 1: is coming out on top at forty four to forty one. Crystal,

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Speaker 1: I've never seen anything like this. I mean, we should say,

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Speaker 1: I do want to put in the caveat that it's

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Speaker 1: a pretty small sample size. This was fifteen hundred register

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Speaker 1: of voters, but only one hundred and sixty five Hispanic voters, Okay,

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Speaker 1: And there is a margin of error of eight points. However,

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Speaker 1: this tracks with other data that we've seen the Glenn

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Speaker 1: Youngkin victory. Again, small sample size in terms of what

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Speaker 1: they were able to glean from the Hispanic electorate, but

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Speaker 1: the numbers come out very similarly. Of course, we saw

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Speaker 1: and this we had a lot of numbers for how

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Speaker 1: much of a significant shift there was among Hispanic voters

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Speaker 1: towards Trump in the last election. So it's a small

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Speaker 1: sample size, take it with a grain of salt, But

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Speaker 1: because it does match up with other trends that we've seen,

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Speaker 1: I think people should really take it seriously here. And

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Speaker 1: to go back to the point about you know, Pava

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Speaker 1: Gala and the leaders versus the followers, I think you're

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Speaker 1: exactly right when you say the problem with the Democratic

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Speaker 1: Party is not the followers. In fact, the problem with

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Speaker 1: the country isn't the American people. It's the people who

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Speaker 1: were here in Washington who run the show. It's the

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Speaker 1: donor class. It's the elites who control Wall Street and

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Speaker 1: corporate America. They're the ones who are the radicals, and

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Speaker 1: they are the ones who are standing in the way

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Speaker 1: of an agenda that could be wildly popular. Put party

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Speaker 1: labels aside, and we're about to cover this in the

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Speaker 1: next block. The stock band. It's over seventy percent of

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Speaker 1: the country. It's like, of course, members of Congress shouldn't

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Speaker 1: be engaging in insider trading. Like obviously we're basically all

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Speaker 1: in agreement on that. We're an agreement on paid sick leave,

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Speaker 1: we're an agreement on prescription drug price reform, we're on

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Speaker 1: an agreement on affordable care, and yes, Medicare for all

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Speaker 1: continues to be pretty darn popular. There is a popular

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Speaker 1: sense this agenda out there waiting to be implemented, that

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Speaker 1: the American people are totally on board with fifteen dollars

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Speaker 1: minimum wage A Now, they're great example, an easy majority

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Speaker 1: right there. What is blocking this progress? It is not

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Speaker 1: the followers. It is certainly not the base of the

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Speaker 1: Democratic Party. It's people like Paul Magala and his buddies

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Speaker 1: here in Washington that prevent any sort of change from happening.

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Speaker 1: And they want you to believe that it's the followers,

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Speaker 1: that is the American people. They're too dumb, they're too racist,

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Speaker 1: they're to this, they're to that. But actually, if we

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Speaker 1: just picked random names out of the telephone book to

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Speaker 1: sit in Congress in these people's shares, I am one

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Speaker 1: hundred percent certain we would get way better results than

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Speaker 1: what we're as ultimately getting. And by the way, this

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Speaker 1: attitude again from Begala, which comes from a lot of

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Speaker 1: the Democratic elites, and people are not stupid. They see

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Speaker 1: it and they feel it has translated into dismal approval

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Speaker 1: rating for Joe Biden, who has now got to be

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Speaker 1: counted as one of the least effectual presidents in our lifetimes.

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Speaker 1: Let's go ahead and put this up on the screen

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Speaker 1: from quinnipiec Biden's approval rating in this one poll drops

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Speaker 1: to a new low of thirty three percent. Okay, do

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Speaker 1: you know what Donald Trump's lowest approval rating was his

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Speaker 1: entire presidency? Thirty four. There we go, thirty Biden now

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Speaker 1: has a lower approval. Now listen again, it's one poll.

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Speaker 1: I looked at the average of poles on Real Clair Politics.

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Speaker 1: Right now, his approval's writing about forty two to fifty two.

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Speaker 1: He's ten points underwater. But this is a dire sign

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Speaker 1: of how badly this presidency has gone. We talked yesterday

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Speaker 1: about how many voters feel like Democrats and Joe Biden

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Speaker 1: are not focused on their concerns. And I don't know

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Speaker 1: how anyone feels like these people are focused on their concerns.

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Speaker 1: What are they even focused on except for like making

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Speaker 1: a speech and posturing about voting rights, which they have

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Speaker 1: no plan to actually implement, even if that is your

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Speaker 1: number one issue, which, by the way, when we look

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Speaker 1: at the polling number one issues are healthcare, economy, and

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Speaker 1: climate change. So given that state of affairs, I don't

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Speaker 1: know how anyone feels like these people are really in

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Speaker 1: touch with their concerns, unless your top concern is like

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Speaker 1: lin Manuel Miranda coming out to celebrate January sixth anniversary.

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Speaker 1: If they dropped all this voting round and stuff, they

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Speaker 1: spend a month on trying to lower the price of gas,

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Speaker 1: they may not even have to succeed. Just try, they

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Speaker 1: would do better in the polls. But ook these people

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Speaker 1: are idiots, and I think that that's the part that

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Speaker 1: we really have to focus on, and just so you

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Speaker 1: guys have an understanding of how broken the system is.

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Speaker 1: Gino the prospective GOP senator Johnson Unu who was the

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Speaker 1: governor of New Hampshire who was considering a run for

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Speaker 1: the Senate. But he gave an interesting interview. Let's go

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Speaker 1: ahead and put this up there on the screen. So

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Speaker 1: here's what he said as to why he did not run.

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Speaker 1: He goes, well, for the most part, they are content,

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Speaker 1: as in the GOP senators. With the speed at which

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Speaker 1: they weren't doing anything, it was clear we just have

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Speaker 1: to hold the line for two years. Okay, So I'm

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Speaker 1: just going to be a roadblock for two years. That's

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Speaker 1: not what I do. The governor said that the message

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Speaker 1: from every GOP senator he chatted with, and chatted with

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Speaker 1: most of them was that they planned to do little

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Speaker 1: more with the majority they are fighting to win this

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Speaker 1: November than obstruct Joe Biden until hopefully twenty twenty four

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Speaker 1: usher's a Republican into the White House. It bothered me

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Speaker 1: that they were okay with that. Sorry it was Christan Unu,

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Speaker 1: not Johnson Unu. But I think it's very important to

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Speaker 1: understand here that the incentives on both sides here appear

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Speaker 1: to be that the Republican Party has no mandate at

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Speaker 1: least part of what it's given than to obstruct the

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Speaker 1: Democratic Party. I mean the kind of had a mandate.

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Speaker 1: I would say Biden had a mandate on vaccines and

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Speaker 1: on economic recovery. You know, vaccines. It certainly did well,

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Speaker 1: and actually it's the only area in which he has

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Speaker 1: above fifty percent approval. It's like fifty two percent on

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Speaker 1: vaccine distribution. Distribution great in terms of handling the pandemic,

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Speaker 1: like thirty So he failed in terms of his broader mission,

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Speaker 1: but in that one broad Way. But on the economy,

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Speaker 1: obviously that didn't work. And when you have just such

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Speaker 1: a total I don't even want to say gridlock, because

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Speaker 1: that almost understates the problem. When you just have such

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Speaker 1: titanic forces both at the very very top not actually

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Speaker 1: working in order to make life better, things are falling

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Speaker 1: apart out there. I mean, no wonder people are angry,

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Speaker 1: you know, social dissatisfaction, the metasociological trends are moving in

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Speaker 1: a direction which is terrible. I mean, depression, suicide, the

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Speaker 1: deaths of despair, fentanyl overdose. It's like housing prices are

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Speaker 1: out of control. Maybe doing something on that tomorrow. Every

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Speaker 1: facet basic of American life I said this yesterday is

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Speaker 1: becoming miserable. And what are they doing. I mean it's

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Speaker 1: almost like they're responding it by trying to make it

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Speaker 1: more miserable for the everyday population because the people at

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Speaker 1: the top are doing quite well. Yeah, I mean, the

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Speaker 1: point of showing that thing from Sununu, who was a

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Speaker 1: top recruit who actually people were pretty surprised when he

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Speaker 1: took a pass, and that would have been an almost

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Speaker 1: gimme pick up for Republicans in the Senate because he

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Speaker 1: is popular in the state of New Hampshire, which is,

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Speaker 1: you know, it's a swing state. It's a tough state

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Speaker 1: for the Republicans ultimately win. The reason to show that

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Speaker 1: is to say, it's utterly pathetic. You all are losing

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Speaker 1: to these people. Like they're upfront about the fact that

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Speaker 1: they literally don't stand for anything that they're not what

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Speaker 1: is the agenda that they're running on. In the site,

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Speaker 1: they're literally upfront saying, we don't have an agenda, We're

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Speaker 1: just not them. And they are very likely to win,

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Speaker 1: not just a majority, but it's possible that if things

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Speaker 1: continue to go their way, they'll win the largest majority

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Speaker 1: in a century. Now, flip that around to last year,

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Speaker 1: about this time, a little bit before this time, when

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Speaker 1: Democrats had a very significant partisan advantage in terms of

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Speaker 1: party identification. Well, what were they talking about relentlessly've had

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Speaker 1: vaccine distribution and checks checks, direct stimulus checks, something that

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Speaker 1: was measurable, something that they were dramatically on the right

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Speaker 1: side of, something where the Republican Party looked completely on

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Speaker 1: a step with the American people. Well, there are a

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Speaker 1: ton of issues that I just named where you still

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Speaker 1: have that position where you you could be on the

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Speaker 1: right side here on the eighty percent or seventy percent

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Speaker 1: side of public support and put Republicans in a tough spot.

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Speaker 1: But you're not doing that. You're not even coming close

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Speaker 1: to doing that. It's insane. And of course now they've

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Speaker 1: basically like given up on any kind of an economic agenda.

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Speaker 1: It's more comfortable for them, and it's like what the

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Speaker 1: donor class wants to hear, for them to sort of

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Speaker 1: posture on voting right something else that they have no chance,

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Speaker 1: no plan to ultimately get through. And so ultimately, you know,

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Speaker 1: these disastrous numbers that are coming out, it's not the

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Speaker 1: fault of your followers, it's the fault of you guys,

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Speaker 1: And so placing blame anywhere else is just absolutely absurd. Yeah,

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Speaker 1: that's well said. And let's give them an example of

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Speaker 1: what they could vote for. Do it tomorrow, Go ahead,

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Speaker 1: it'll be very popular. Let's move on to the stock band.

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Speaker 1: Let's put this up there on the screen data for

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Speaker 1: Progress poll, which is that would you support or oppose

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Speaker 1: Congress passing a bill that would ban members of Congress

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Speaker 1: from buying or selling stocks while in office? Support seventy

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Speaker 1: four percent, oppose nineteen who are nineteen. Yeah, I want

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Speaker 1: to meet these nineteens. Who are you, members of Congress

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Speaker 1: and your families, People who work in the defense industry.

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Speaker 1: What's happening. People are following Nancy Pelosi's stock trucks that

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Speaker 1: make a lot of money, People who are who are

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Speaker 1: making money following trade trading. That's very, very smart. But

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Speaker 1: for real, though, and I've said it before, you know,

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Speaker 1: I have not seen a ground swell online movement, you know,

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Speaker 1: actually become fruition in terms of seeing members of Congress

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Speaker 1: actually seriously work towards this end in a really long time.

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Speaker 1: I mean, this is a real thing that started out

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Speaker 1: because those guys like Unusual Whales were making it, you know,

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Speaker 1: transparent and effective for people like us to err it

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Speaker 1: on our show and bring to light, you know, these

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Speaker 1: outrageous trades at the Pelosi family that the Republicans were doing,

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Speaker 1: about how many members of Congress were beating the S

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Speaker 1: and P five hundred when guys on Wall Street who

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Speaker 1: are billionaires don't even beat the S and P five hundred.

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Speaker 1: As we said, I met some of these folks, They're

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Speaker 1: not smart. They are truly not sending their best here

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Speaker 1: to Congress. And you know, when you see those results.

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Speaker 1: It doesn't take a genius in order to figure it out.

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Speaker 1: And the best part about the current bipartisan push is

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Speaker 1: that it is forcing people to get on the record

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Speaker 1: and even better, forcing members of Congress to try and

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Speaker 1: get as out front and co sponsor and more in

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Speaker 1: order to appeal to you because you know that this

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Speaker 1: is corrupt as hell. So let's put this up there.

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Speaker 1: So there's been more movement here. John Asoff's bill to

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Speaker 1: band members of Congress. That's Brian Shots from Hawaii. I

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Speaker 1: just checked yesterday. Patty Murray from the state of Washington

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Speaker 1: also said that she would go ahead and co sponsor

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Speaker 1: the bill. Now that bill is going to move through

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Speaker 1: you know, I think it's going to move fairly quickly.

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Speaker 1: But look here's the way it works. You know, it

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Speaker 1: gets moved out of committee or whatever. But from that point,

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Speaker 1: then what happens then the roadblocks and the amendments, and

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Speaker 1: then that will it actually get moved from the committee

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Speaker 1: to the floor, Will they give it the floor time

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Speaker 1: in order to vote, then will they move it onto

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Speaker 1: the House? Will the House try to amend it? And

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Speaker 1: by that time they're going to try and add in

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Speaker 1: every exception known to men and quiet kill this thing.

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Speaker 1: So we have to focus on every inane piece of

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Speaker 1: parliamentary procedure right now, the bill has been created. Eventually

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Speaker 1: it has to move its way through the committee system.

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Speaker 1: We'll cover the hell out of it here. From there,

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Speaker 1: it then has to be presented with amendment scored, etc.

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Speaker 1: Then it will move on to the floor. Then will

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Speaker 1: they actually bring it to a vote. This is the

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Speaker 1: other thing that we need to do. We need to

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Speaker 1: make sure to keep the grounds well because right now

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Speaker 1: they can see that they're scoring a lot of points

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Speaker 1: by introducing the bill, co sponsoring it or whatever. Like

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Speaker 1: I said, Josh Holly also has his own version, Representative

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Speaker 1: Chip Roy, another Republican in the House. He's representing the

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Speaker 1: House version. So there is bipartisan support for this stuff.

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Speaker 1: I wouldn't be surprised if some of the libertarian members

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Speaker 1: of Congress also were to support this thing as well.

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Speaker 1: But we need to get them on the record and

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Speaker 1: we have to check as to actually what's happening. They

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Speaker 1: could actually do this. They could do this what it

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Speaker 1: would take them two weeks if they really wanted to. Yeah,

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Speaker 1: of course, Nancy Pelosi, her effort to stop any movement

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Speaker 1: in this direction and say, oh, well, we're going to

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Speaker 1: beef up penalties on the Stock Act. Which all that

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Speaker 1: the Stock Act does is provide transparency, which has been

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Speaker 1: useful for us to be able to work with something

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Speaker 1: and for unusual Wale to be able to run the

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Speaker 1: numbers and give us some data that also business insider

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Speaker 1: crunch the numbers on. I mean, that has been useful,

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Speaker 1: but she wants to pretend like, oh, I'm totally on

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Speaker 1: board with that, let's just up the penalties when no, no, no,

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Speaker 1: that's wildly into it. We're way beyond that now. We

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Speaker 1: just need to end the practice period. End of story.

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Speaker 1: I also want to say, yes, there are Republicans who

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Speaker 1: are coming out with their own proposals, but it's pathetic

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Speaker 1: that no Republicans signed on to John Osauce measure. And

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Speaker 1: the reason is because they see this as a political winner.

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Speaker 1: They want to play games that they don't want anything

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Speaker 1: to actually pass under Democrats. They want to be able

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Speaker 1: to say, oh, we're going to do it once we

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Speaker 1: ultimately win the majority. So again, Democrats have a wide

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Speaker 1: open opportunity here to put Republicans in a very tough spot. Okay,

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Speaker 1: Kevin McCarthy, Okay, Josh Holly, bring it to the floor. Okay,

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Speaker 1: Chip Roy, you said like you're on board with this.

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Speaker 1: So here's the bill. Let's vote up or down and

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Speaker 1: see where you actually stand on prohibiting members of Congress

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00:22:13,160 --> 00:22:16,520
Speaker 1: from trading stocks and see what happens. And you know,

430
00:22:16,640 --> 00:22:20,320
Speaker 1: maybe they ultimately folded the pressure, maybe they don't. Either way,

431
00:22:20,359 --> 00:22:23,520
Speaker 1: that would ultimately be a win. And there is literally

432
00:22:24,040 --> 00:22:27,320
Speaker 1: no argument against doing this except corruption. Yeah, I mean,

433
00:22:27,359 --> 00:22:30,280
Speaker 1: that is ultimately what it comes down to. But to

434
00:22:30,400 --> 00:22:34,160
Speaker 1: your point, the fact that you've had this online swell

435
00:22:34,320 --> 00:22:38,080
Speaker 1: of support and interest in so much heat around this topic,

436
00:22:38,160 --> 00:22:41,040
Speaker 1: and now legislation starting to be crafted and people trying

437
00:22:41,040 --> 00:22:44,840
Speaker 1: to position themselves. Jen Saki got a question at the

438
00:22:44,880 --> 00:22:49,159
Speaker 1: podium about whether President Biden actually supports these moves or not.

439
00:22:49,320 --> 00:22:50,720
Speaker 1: Let's take a listen to what she had to say.

440
00:22:51,640 --> 00:22:53,680
Speaker 1: Does the President think that members of Congress should be

441
00:22:53,720 --> 00:22:56,959
Speaker 1: prohibited from trading stocks? The president is prohibited from doing this,

442
00:22:57,200 --> 00:22:58,959
Speaker 1: so where does he down on this? And should their

443
00:22:59,000 --> 00:23:03,080
Speaker 1: spouses be too? The President didn't trade individual stocks when

444
00:23:03,119 --> 00:23:05,640
Speaker 1: he was a senator. That is how he approached things.

445
00:23:05,680 --> 00:23:08,440
Speaker 1: He also believes that everyone should be held to the

446
00:23:08,480 --> 00:23:11,359
Speaker 1: highest standard. But he'll let members of the leadership in

447
00:23:11,400 --> 00:23:13,600
Speaker 1: Congress and members of Congress determine what the rules should be.

448
00:23:13,960 --> 00:23:19,440
Speaker 1: Indication of any sort of leadership there obviously indicating like, yeah,

449
00:23:19,440 --> 00:23:21,280
Speaker 1: I'm kind of on board with the sentiment of here,

450
00:23:21,359 --> 00:23:23,879
Speaker 1: but it's up to Congress to set the rules of

451
00:23:23,920 --> 00:23:25,800
Speaker 1: their body. You were in Congress for a long time.

452
00:23:25,840 --> 00:23:28,800
Speaker 1: You can certainly have an opinion impress them on this one. Also, yeah,

453
00:23:28,800 --> 00:23:30,800
Speaker 1: I don't think, first of all, whenever it comes to

454
00:23:30,840 --> 00:23:33,440
Speaker 1: Joe Biden may not have traded individual stock but had

455
00:23:33,480 --> 00:23:36,160
Speaker 1: some really sketchy stuff whenever it came to his own

456
00:23:36,200 --> 00:23:38,800
Speaker 1: personal finances that we don't have zactor Ryan grub about

457
00:23:38,800 --> 00:23:42,159
Speaker 1: his brother and his brother his house just happened to

458
00:23:42,160 --> 00:23:45,080
Speaker 1: sell for a very large profit. But I think this

459
00:23:45,160 --> 00:23:48,840
Speaker 1: is important because that sake quote came after the White

460
00:23:48,880 --> 00:23:52,879
Speaker 1: House Economic Advisor Brian Deese had appeared to endorse that legislation.

461
00:23:52,960 --> 00:23:56,200
Speaker 1: So in a way, Saki is walking this back from

462
00:23:56,359 --> 00:23:59,000
Speaker 1: joining squat box, you know, a couple of days ago

463
00:23:59,240 --> 00:24:02,560
Speaker 1: saying that this would restore faith quote in our institutions,

464
00:24:02,840 --> 00:24:05,639
Speaker 1: and now just saying, well, it's up to Congress. So

465
00:24:06,119 --> 00:24:08,920
Speaker 1: I just happened to wonder? I mean, did the Democratic

466
00:24:09,000 --> 00:24:11,280
Speaker 1: leadership call a White House and say, hey, don't say

467
00:24:11,320 --> 00:24:13,840
Speaker 1: a damn word whenever it comes to this bill. Why

468
00:24:13,880 --> 00:24:16,639
Speaker 1: did one White House senior White House official seem to

469
00:24:16,720 --> 00:24:19,560
Speaker 1: seemingly endorse this thing and then days later they're like, well,

470
00:24:19,560 --> 00:24:21,520
Speaker 1: that's up to them. Why don't you just endorse it

471
00:24:21,560 --> 00:24:23,600
Speaker 1: from the podium, Just be like, yes, the President supports

472
00:24:23,600 --> 00:24:26,000
Speaker 1: this legislation and hopes he passes it. He's willing to

473
00:24:26,040 --> 00:24:27,720
Speaker 1: do it for vote. He's willing to go to the

474
00:24:27,720 --> 00:24:31,120
Speaker 1: fricking Congress to try and push voting rights legislation, which

475
00:24:31,160 --> 00:24:33,720
Speaker 1: doesn't have a chance in hell. Why doesn't he throw

476
00:24:33,720 --> 00:24:37,480
Speaker 1: his weight behind something that could pass. It could pass,

477
00:24:37,560 --> 00:24:40,400
Speaker 1: We have bipartisan versions. As you said, Okay, let's see

478
00:24:40,400 --> 00:24:42,240
Speaker 1: if people are full of it, bring it to the floor,

479
00:24:42,440 --> 00:24:45,320
Speaker 1: Let it get sixty votes. I would love to see

480
00:24:45,680 --> 00:24:48,320
Speaker 1: every Republican vote against this thing, truly, because it would

481
00:24:48,320 --> 00:24:50,080
Speaker 1: just show that you're completely full of it. And even

482
00:24:50,119 --> 00:24:52,400
Speaker 1: Democrats too. I want to see him vote force them

483
00:24:52,440 --> 00:24:55,840
Speaker 1: to actually do a talking filibuster. Yeah, yeah, that's about

484
00:24:56,160 --> 00:24:59,560
Speaker 1: keeping the ability for members of Congress to trade on

485
00:24:59,600 --> 00:25:03,159
Speaker 1: inside it information. I would love to see that nothing

486
00:25:03,240 --> 00:25:07,640
Speaker 1: could be better for Democrats than for once being on

487
00:25:07,680 --> 00:25:12,040
Speaker 1: the right side of a populist, clear cut anti corruption

488
00:25:12,240 --> 00:25:14,680
Speaker 1: issue and the fact that they don't do it again.

489
00:25:14,720 --> 00:25:17,200
Speaker 1: There's no argument for it except for corruption. In terms

490
00:25:17,240 --> 00:25:19,640
Speaker 1: of the leadership in the House. In the Senate, Schumer

491
00:25:19,800 --> 00:25:23,639
Speaker 1: has demurred. He just won't say what his position is ultimately. Pelosi,

492
00:25:23,720 --> 00:25:26,360
Speaker 1: of course, made those obnoxious comments about how, oh, it's

493
00:25:26,359 --> 00:25:28,639
Speaker 1: a free market people should be able to participate in.

494
00:25:28,680 --> 00:25:31,439
Speaker 1: That it is the opposite of a free market to

495
00:25:31,480 --> 00:25:34,840
Speaker 1: be trading on inside information. Okay, that is not what

496
00:25:34,880 --> 00:25:37,679
Speaker 1: a free market ultimately is, if you're into such things.

497
00:25:37,920 --> 00:25:42,720
Speaker 1: Hakeem Jeffries, who's widely seen as her successor, he was

498
00:25:42,800 --> 00:25:45,439
Speaker 1: happy when Kevin McCarthy said basically like, oh, we're going

499
00:25:45,520 --> 00:25:47,360
Speaker 1: to do our version of this if the GOP takes

500
00:25:47,400 --> 00:25:50,399
Speaker 1: the House. He was happy to slam McCarthy as not

501
00:25:50,560 --> 00:25:52,680
Speaker 1: credible on the issue. But then when they were like,

502
00:25:53,080 --> 00:25:55,400
Speaker 1: all right, so where do you stand on it? He

503
00:25:55,400 --> 00:25:57,920
Speaker 1: he had nothing to say. He wouldn't answer the questions,

504
00:25:57,960 --> 00:26:01,840
Speaker 1: So not a great look for them. Good on John

505
00:26:01,880 --> 00:26:05,560
Speaker 1: Ossoff and others for getting out front on this issue

506
00:26:05,600 --> 00:26:08,080
Speaker 1: and pressing the case and making a little uncomfortable. And

507
00:26:08,160 --> 00:26:11,560
Speaker 1: if Democrats had half of a brain cell and were

508
00:26:11,880 --> 00:26:15,760
Speaker 1: like slightly less corrupt, they would take advantage of this

509
00:26:15,880 --> 00:26:18,960
Speaker 1: rather than just crying about their bad mid term prospects.

510
00:26:19,000 --> 00:26:22,840
Speaker 1: They'd rather ultimately lose than actually do anything to deliver

511
00:26:22,920 --> 00:26:25,240
Speaker 1: for the American people or to restore faith in our

512
00:26:25,240 --> 00:26:27,800
Speaker 1: institutions to try to bolster their chances. Also, just think

513
00:26:27,840 --> 00:26:30,199
Speaker 1: of the layup crystal. If the House leadership and the

514
00:26:30,200 --> 00:26:32,920
Speaker 1: Senate leadership, if Schumer and Pelosi let this thing die,

515
00:26:32,960 --> 00:26:34,840
Speaker 1: then Kevin McCarthy and Holly and them are going to

516
00:26:34,880 --> 00:26:36,960
Speaker 1: look like heroes if they actually get it done, or

517
00:26:36,960 --> 00:26:39,720
Speaker 1: if they introduce it and then force them to vote

518
00:26:39,720 --> 00:26:42,960
Speaker 1: against it. Can you imagine popular ground swell or to

519
00:26:43,000 --> 00:26:47,000
Speaker 1: force the Democrats to filibuster that legislation. That's the greatest

520
00:26:47,000 --> 00:26:49,000
Speaker 1: thing that could ever happen to them. Yeah, which they

521
00:26:49,080 --> 00:26:51,320
Speaker 1: easily could do. I mean, consider if the House and

522
00:26:51,320 --> 00:26:54,000
Speaker 1: the Senate go Republican, they could send that legislation to

523
00:26:54,080 --> 00:26:57,240
Speaker 1: the President's desk, then what the President is going to

524
00:26:57,359 --> 00:27:00,800
Speaker 1: veto or not sign a Republican led bill. I mean,

525
00:27:01,119 --> 00:27:03,560
Speaker 1: I'm gaming this out, and frankly, I think that's probably

526
00:27:03,600 --> 00:27:06,520
Speaker 1: the most likely scenario at this point. And it's not

527
00:27:06,760 --> 00:27:10,680
Speaker 1: just Republicans who would be put on the spot if

528
00:27:10,840 --> 00:27:14,280
Speaker 1: Democrats brought something like this to the floor. Okay, Joe Manchin, Yeah,

529
00:27:14,359 --> 00:27:17,200
Speaker 1: you claim you're just representing the interest in West Virginia.

530
00:27:17,359 --> 00:27:19,600
Speaker 1: All right, how about on this deal? What about Mark Warren?

531
00:27:19,640 --> 00:27:23,040
Speaker 1: How about on these with like five hundred million years wealthy? Yeah,

532
00:27:23,080 --> 00:27:25,359
Speaker 1: he's a very very which no one has yet explained

533
00:27:25,359 --> 00:27:27,320
Speaker 1: to me how exactly he made all this money. I mean,

534
00:27:27,640 --> 00:27:30,080
Speaker 1: you all have seen the list that Unusual Whales compiled

535
00:27:30,119 --> 00:27:32,280
Speaker 1: of who was beating the market. We got another one

536
00:27:32,320 --> 00:27:35,600
Speaker 1: in the show today, Dan Crenshaw, who he's doing really well,

537
00:27:35,880 --> 00:27:38,560
Speaker 1: one of the top performers in terms of Congress. Where

538
00:27:38,560 --> 00:27:40,320
Speaker 1: do you stay on the spill, Congressman, what do you

539
00:27:40,320 --> 00:27:42,080
Speaker 1: think about all this? So a man who's got no

540
00:27:42,440 --> 00:27:45,320
Speaker 1: real world experience, was in the military, then got elected

541
00:27:45,320 --> 00:27:47,840
Speaker 1: to Congress and all of that, is the fifth best

542
00:27:47,880 --> 00:27:52,119
Speaker 1: performing person in terms of stock portfolio out beating some

543
00:27:52,200 --> 00:27:54,919
Speaker 1: of the best private equity funds in the history of

544
00:27:54,920 --> 00:27:58,080
Speaker 1: Wall Street. I got it. Okay, Yeah, So high frequency traders,

545
00:27:58,200 --> 00:28:01,600
Speaker 1: algorithms and all that. Dan Crenshaw, he's very good at

546
00:28:01,640 --> 00:28:03,679
Speaker 1: what he does. Yeah, that's interesting. We'll talk about that,

547
00:28:06,880 --> 00:28:09,080
Speaker 1: all right. So let's talk a little bit about Ukraine,

548
00:28:09,160 --> 00:28:13,080
Speaker 1: because this is also very important, a big geopolitical situation,

549
00:28:13,240 --> 00:28:15,880
Speaker 1: and as you alluded to, Crystal, trying to sort through

550
00:28:15,920 --> 00:28:18,959
Speaker 1: the propaganda from the US government and the Russian government

551
00:28:19,000 --> 00:28:23,240
Speaker 1: on this thing is the biggest headache that could possibly exist.

552
00:28:23,359 --> 00:28:26,000
Speaker 1: So let's put it all to you straight. What raised

553
00:28:26,040 --> 00:28:28,399
Speaker 1: our eyebrows and frankly made me a little bit scared,

554
00:28:28,680 --> 00:28:31,920
Speaker 1: was yesterday the White House really escalating their rhetoric saying

555
00:28:31,920 --> 00:28:35,800
Speaker 1: that they believed that an invasion of Ukraine from Russia

556
00:28:35,960 --> 00:28:39,000
Speaker 1: could be imminent. Here's exactly what Jensaki had to say.

557
00:28:39,600 --> 00:28:42,440
Speaker 1: I'm saying on Ukraine and Russia. What is the White

558
00:28:42,440 --> 00:28:46,200
Speaker 1: House make of evacuation of Russian Did you not a

559
00:28:46,240 --> 00:28:48,440
Speaker 1: stept from their embassy in Kiev? And do you think

560
00:28:48,480 --> 00:28:52,640
Speaker 1: the threat of invasion is getting higher or lower? Well?

561
00:28:52,800 --> 00:28:54,880
Speaker 1: I think, as I noted a few minutes ago, we

562
00:28:54,960 --> 00:28:57,440
Speaker 1: believe we're now to stage where Russia could at any

563
00:28:57,480 --> 00:29:01,000
Speaker 1: point launch an attack on Ukraine'd say that's more stark

564
00:29:01,200 --> 00:29:05,120
Speaker 1: than we have been in terms of the decision to

565
00:29:05,400 --> 00:29:10,360
Speaker 1: move to move it to evacuate their embassy or to

566
00:29:10,400 --> 00:29:13,560
Speaker 1: move personnel out of their embassy. We have information that

567
00:29:13,640 --> 00:29:16,960
Speaker 1: indicates the Russian government was preparing to evacuate their family

568
00:29:17,040 --> 00:29:19,800
Speaker 1: members from the Russian embassy in Ukraine in late December

569
00:29:19,800 --> 00:29:24,320
Speaker 1: and early January. We certainly for you to them for

570
00:29:24,480 --> 00:29:27,080
Speaker 1: more specifics about what their decision is, but we don't

571
00:29:27,080 --> 00:29:30,640
Speaker 1: have an assessment assessment on why in the meaning Okay, Crystal. So,

572
00:29:30,680 --> 00:29:33,640
Speaker 1: one of the key elements of manufacturing consent, especially whenever

573
00:29:33,680 --> 00:29:36,280
Speaker 1: it comes to a national security operation, is to say

574
00:29:36,320 --> 00:29:40,120
Speaker 1: things are happening based on intelligence and then launder stuff

575
00:29:40,200 --> 00:29:43,360
Speaker 1: through the media. Okay, So, I've been watching the Russia

576
00:29:43,360 --> 00:29:46,200
Speaker 1: Gate people very closely. Lo and behold, they're getting all

577
00:29:46,240 --> 00:29:49,160
Speaker 1: sorts of quote unquote scoops from the CIA and the

578
00:29:49,240 --> 00:29:51,200
Speaker 1: national intelligence community. Let's go ahead and put this up

579
00:29:51,240 --> 00:29:54,000
Speaker 1: there on the screen. Natasha Bertran, who's possibly one of

580
00:29:54,040 --> 00:29:57,000
Speaker 1: the worst examples of a Russia Gate reporter, reported all

581
00:29:57,120 --> 00:30:00,320
Speaker 1: kinds of false information at that time, now says quotes goop.

582
00:30:00,520 --> 00:30:03,480
Speaker 1: The US has information that indicates Russia as prepositioned a

583
00:30:03,520 --> 00:30:06,760
Speaker 1: group of operatives to conduct a false flag operation in

584
00:30:06,840 --> 00:30:10,560
Speaker 1: eastern Ukraine. A US official told CNN on Friday in

585
00:30:10,560 --> 00:30:14,360
Speaker 1: an attempt to create a pretext for invasion story to come. Now,

586
00:30:14,560 --> 00:30:17,480
Speaker 1: this is again the perfect example of what's the intel?

587
00:30:17,800 --> 00:30:21,120
Speaker 1: Who actually believes that? They feed it to a friendly reporter,

588
00:30:21,520 --> 00:30:25,200
Speaker 1: one US official. Does anybody else disagree? But it gets

589
00:30:25,240 --> 00:30:29,240
Speaker 1: parroted on CNN over and over and over again, gets repeated.

590
00:30:29,280 --> 00:30:31,440
Speaker 1: Then to the White House. The White House and reads

591
00:30:31,440 --> 00:30:34,160
Speaker 1: out a statement saying that we believe something is imminent.

592
00:30:34,440 --> 00:30:38,680
Speaker 1: All in Ukraine. Let's actually figure out what the hell

593
00:30:38,760 --> 00:30:42,680
Speaker 1: is going on in Ukraine. Well, there was a revolution.

594
00:30:43,000 --> 00:30:45,480
Speaker 1: Some say the US was involved, some say they don't.

595
00:30:45,840 --> 00:30:49,240
Speaker 1: Back in twenty fourteen, okay, there was a crowded thing.

596
00:30:49,320 --> 00:30:52,600
Speaker 1: They called it a color revolution. The person president was

597
00:30:52,680 --> 00:30:56,240
Speaker 1: ousted and a new government of chaos is essentially royaled.

598
00:30:56,400 --> 00:31:00,640
Speaker 1: Since then, then Crimea was also annexed by the Russians.

599
00:31:00,680 --> 00:31:03,320
Speaker 1: So obviously that was in twenty thirteen, kind of preceded

600
00:31:03,360 --> 00:31:06,480
Speaker 1: some of these events. Well then what happened, Well, it

601
00:31:06,560 --> 00:31:10,600
Speaker 1: evolved into a hot slash cold civil war in which

602
00:31:10,800 --> 00:31:14,160
Speaker 1: the Russians were backing some Eastern Ukrainian separatists who largely

603
00:31:14,160 --> 00:31:18,160
Speaker 1: speak Russian identify more as Russian. The Ukrainian government obviously

604
00:31:18,280 --> 00:31:21,040
Speaker 1: did not support that. Big fights here in Washington. Then

605
00:31:21,080 --> 00:31:25,360
Speaker 1: crystal over whether the US should arm said Ukrainian rebels

606
00:31:25,360 --> 00:31:28,520
Speaker 1: sound familiar have this happening in Syria at the time.

607
00:31:28,840 --> 00:31:32,440
Speaker 1: Obama refused, rightfully in my opinion, not to arm those

608
00:31:32,520 --> 00:31:36,520
Speaker 1: Ukrainian rebels. Trump, despite talking about a Russian reset and

609
00:31:36,560 --> 00:31:40,160
Speaker 1: all of that, actually did arm those Ukrainian rebels. Here's

610
00:31:40,160 --> 00:31:43,800
Speaker 1: the key point for an entire what five six years

611
00:31:43,800 --> 00:31:46,600
Speaker 1: here in DC, there was a massive fight over arming

612
00:31:46,600 --> 00:31:50,120
Speaker 1: those rebels. But then once we actually did, nobody actually

613
00:31:50,120 --> 00:31:52,959
Speaker 1: told you whether it worked or not. And here's the answer.

614
00:31:53,200 --> 00:31:56,520
Speaker 1: It's twenty twenty two. It didn't work in terms of

615
00:31:56,840 --> 00:32:00,160
Speaker 1: ending the quote unquote civil war that didn't happen. We

616
00:32:00,200 --> 00:32:02,560
Speaker 1: didn't give them enough firepower in order to actually do

617
00:32:02,600 --> 00:32:05,480
Speaker 1: anything because doing so would you know, basically be a

618
00:32:05,560 --> 00:32:08,400
Speaker 1: cold war whatever type move against Russia and they would

619
00:32:08,440 --> 00:32:11,320
Speaker 1: probably respond in kind. So we gave these guys all

620
00:32:11,320 --> 00:32:13,719
Speaker 1: these weapons. It actually didn't work out in terms of

621
00:32:13,720 --> 00:32:17,360
Speaker 1: moving the bottle line whatsoever. And finally it brings us

622
00:32:17,400 --> 00:32:20,000
Speaker 1: to the here twenty twenty two, it's been eight or

623
00:32:20,000 --> 00:32:23,200
Speaker 1: so years since the said revolution, and at that point

624
00:32:23,320 --> 00:32:27,840
Speaker 1: Russia finds that a lot of this basically arming of

625
00:32:27,880 --> 00:32:32,080
Speaker 1: the rebels. The current discussion within NATO of bringing Ukraine

626
00:32:32,400 --> 00:32:35,760
Speaker 1: into the NATO Alliance and giving them Article five protection

627
00:32:36,120 --> 00:32:38,920
Speaker 1: is unacceptable to them, and they, because they're a failing

628
00:32:38,960 --> 00:32:42,400
Speaker 1: gas state, say that, hey, we want to remain powerful

629
00:32:42,640 --> 00:32:45,520
Speaker 1: and relevant on the world stage. They spark this international

630
00:32:45,600 --> 00:32:49,040
Speaker 1: crisis in turn. This is not the perfect summary, but

631
00:32:49,040 --> 00:32:50,680
Speaker 1: I'm trying to give you kind of all sides of

632
00:32:50,760 --> 00:32:54,160
Speaker 1: the debate here. And what then happens is that they say,

633
00:32:54,640 --> 00:32:57,920
Speaker 1: U US can de escalate this. Now, let's put this

634
00:32:58,000 --> 00:33:01,200
Speaker 1: up there from the BBC. They say, right now, you

635
00:33:01,280 --> 00:33:05,160
Speaker 1: can stop all of this crisis whenever it comes to Ukraine.

636
00:33:05,480 --> 00:33:09,640
Speaker 1: All you have to do is say that NATO will

637
00:33:09,680 --> 00:33:16,080
Speaker 1: never include Ukraine. This is where I just am astounded

638
00:33:16,280 --> 00:33:18,840
Speaker 1: that we are even pretending that it would be in

639
00:33:18,880 --> 00:33:23,040
Speaker 1: the US national security interest crystal of letting Ukraine into NATO.

640
00:33:23,280 --> 00:33:25,280
Speaker 1: This was a dream of two thousand and eight. But

641
00:33:25,400 --> 00:33:29,000
Speaker 1: guess what Ukraine is in Russia's sphere of influence. It

642
00:33:29,080 --> 00:33:31,920
Speaker 1: has been for five hundred years They've been fighting over

643
00:33:31,960 --> 00:33:34,040
Speaker 1: it was once part of the USSR, and all of

644
00:33:34,080 --> 00:33:37,720
Speaker 1: that affording them Article five would essentially mean that you

645
00:33:38,120 --> 00:33:41,280
Speaker 1: extend the US kind of a security nuclear blanket all

646
00:33:41,280 --> 00:33:43,400
Speaker 1: the way up to the border of Russia, and that

647
00:33:43,560 --> 00:33:46,400
Speaker 1: is just unacceptable to them from a security situation. And

648
00:33:46,440 --> 00:33:48,920
Speaker 1: I would just point finally to George Kennan, who was

649
00:33:48,920 --> 00:33:52,200
Speaker 1: the architect of the US strategy of containment over Cold War,

650
00:33:52,400 --> 00:33:55,360
Speaker 1: who predicted, after the Cold War ended that letting the

651
00:33:55,400 --> 00:33:58,800
Speaker 1: Eastern Bloc into NATO would spark a new conflict with

652
00:33:58,880 --> 00:34:01,480
Speaker 1: Russia because it was right in their face as they're

653
00:34:01,520 --> 00:34:05,479
Speaker 1: downward spiral post collapse with the Soviet Union, not to

654
00:34:05,560 --> 00:34:09,080
Speaker 1: mention that as part of the deal in terms of

655
00:34:09,160 --> 00:34:13,600
Speaker 1: reunifying Germany, what we agreed to, we said NATO is

656
00:34:13,640 --> 00:34:17,239
Speaker 1: not going to expand any further east. And guess what,

657
00:34:17,600 --> 00:34:22,759
Speaker 1: NATO has expanded a lot further east, and predictably that

658
00:34:22,840 --> 00:34:26,200
Speaker 1: has led to these increased tensions. So what we're trying

659
00:34:26,200 --> 00:34:28,399
Speaker 1: to say is when you're getting all of this in

660
00:34:28,440 --> 00:34:33,960
Speaker 1: from the US media, all you're hearing is our government's propaganda,

661
00:34:34,360 --> 00:34:37,239
Speaker 1: and so it becomes very confusing. They have to make

662
00:34:37,320 --> 00:34:40,160
Speaker 1: Putin in and I'm saying, like standing for Putner, pretending

663
00:34:40,200 --> 00:34:42,640
Speaker 1: like he's a good guy or anything like that, But

664
00:34:43,040 --> 00:34:47,280
Speaker 1: you have to imagine that he is some like uniquely evil,

665
00:34:47,520 --> 00:34:51,799
Speaker 1: bombastic caricature of a person, which is again typical of

666
00:34:51,840 --> 00:34:54,520
Speaker 1: the sort of propaganda that our government ultimately puts down

667
00:34:54,520 --> 00:34:58,040
Speaker 1: to the consumer in order to help you understand, well,

668
00:34:58,080 --> 00:35:00,400
Speaker 1: why is he baking? Oh, he's just super aggres and

669
00:35:00,400 --> 00:35:02,960
Speaker 1: that's the only reason why. It's just Putin's a bad guy,

670
00:35:03,000 --> 00:35:04,640
Speaker 1: and we got to figure out how to check Putin,

671
00:35:04,840 --> 00:35:06,640
Speaker 1: et cetera, et cetera, et cetera. Again, this is not

672
00:35:06,680 --> 00:35:09,279
Speaker 1: to stand for Putin, but to say, from their perspective,

673
00:35:09,680 --> 00:35:12,359
Speaker 1: they feel like they were lied to by the US

674
00:35:12,960 --> 00:35:15,759
Speaker 1: and by NATO allies. Which is true that we have

675
00:35:15,880 --> 00:35:19,920
Speaker 1: expanded NATO and expanded NATO and expanded NATO, and that

676
00:35:20,000 --> 00:35:22,960
Speaker 1: has led them to feel like they are under threat.

677
00:35:23,080 --> 00:35:25,640
Speaker 1: Now NATO sow we'red only defensive, et cetera, et cetera.

678
00:35:25,880 --> 00:35:27,840
Speaker 1: But here's the other thing that's going on that you

679
00:35:27,880 --> 00:35:31,880
Speaker 1: will barely see mentioned in mainstream press. Here, in addition

680
00:35:32,040 --> 00:35:38,680
Speaker 1: to arming Ukraine, we have also been training. The CIA

681
00:35:38,880 --> 00:35:43,520
Speaker 1: has been bringing over Ukrainians here to effectively train an insurgency.

682
00:35:43,840 --> 00:35:45,960
Speaker 1: Let's take a look at this tear sheet. This is

683
00:35:46,000 --> 00:35:48,800
Speaker 1: from Yahoo News. Well, so this is let's see you

684
00:35:48,840 --> 00:35:53,480
Speaker 1: this first. Blincoln has said to me with Russian his counterpart,

685
00:35:53,800 --> 00:35:56,360
Speaker 1: the Russian Foreign Minister, as Ukraine tension sore. So we

686
00:35:56,440 --> 00:35:58,520
Speaker 1: will see what comes ultimately out of that. But let's

687
00:35:58,520 --> 00:36:00,759
Speaker 1: put the next tear sheet up on the screen. Here

688
00:36:00,800 --> 00:36:06,000
Speaker 1: we go. CIA trained Ukrainian paramilitaries may take central role

689
00:36:06,440 --> 00:36:09,960
Speaker 1: if Russia invades. This is a very good and very

690
00:36:10,040 --> 00:36:13,720
Speaker 1: unusual piece of reporting here. The lead is the CIA

691
00:36:13,800 --> 00:36:17,360
Speaker 1: is overseeing a secret intensive training program in the US

692
00:36:17,680 --> 00:36:21,759
Speaker 1: for elite to Ukrainian special operations forces and other intelligence personnel.

693
00:36:22,200 --> 00:36:26,600
Speaker 1: That program started in twenty fifteen. It's based an undisclosed

694
00:36:26,640 --> 00:36:30,680
Speaker 1: facility in the southern US. It started under Obama, it

695
00:36:30,760 --> 00:36:34,200
Speaker 1: was expanded under Trump, and it has been further expanded

696
00:36:34,360 --> 00:36:37,000
Speaker 1: under Joe Biden. Just so you get a sense of

697
00:36:37,040 --> 00:36:40,440
Speaker 1: how bipartisan the support for the deep state in the

698
00:36:40,440 --> 00:36:44,960
Speaker 1: military industrial complex ultimately is, one person familiar with this

699
00:36:45,040 --> 00:36:48,840
Speaker 1: program put its goals very bluntly. The United States is

700
00:36:48,960 --> 00:36:53,520
Speaker 1: training an insurgency to kill Russians. Going back decades, the

701
00:36:53,520 --> 00:36:57,000
Speaker 1: CIAS provided limited training to Ukrainian intelligence units to try

702
00:36:57,000 --> 00:36:59,800
Speaker 1: and shore up an independent keeve and prevent Russian Some

703
00:37:00,120 --> 00:37:03,960
Speaker 1: version but cooperation quote ramped up after the crimea invasion

704
00:37:04,040 --> 00:37:08,239
Speaker 1: set a former CIA executive. So those are some of

705
00:37:08,239 --> 00:37:12,040
Speaker 1: the activities that our government is engaged in. Did you

706
00:37:12,120 --> 00:37:14,960
Speaker 1: vote on that. Did they ask you if you wanted,

707
00:37:15,120 --> 00:37:18,240
Speaker 1: you know, the CIA to be secretly training a covert

708
00:37:18,320 --> 00:37:21,960
Speaker 1: you know, training an insurgency here and getting us more entwined.

709
00:37:21,960 --> 00:37:23,960
Speaker 1: Did they ask you about that? No? I bet they didn't,

710
00:37:24,239 --> 00:37:28,400
Speaker 1: Just like they didn't tell you that there are reasons

711
00:37:28,440 --> 00:37:32,200
Speaker 1: outside of just Putin being a maniac why Russia feels

712
00:37:32,239 --> 00:37:35,400
Speaker 1: threatened by the potential incursion of NATO in. We're not

713
00:37:35,440 --> 00:37:38,200
Speaker 1: trying to stand for Russia. I don't like Russia, you know.

714
00:37:38,360 --> 00:37:41,600
Speaker 1: I think territorial conquest and wars of that are really bad.

715
00:37:42,160 --> 00:37:44,920
Speaker 1: That being said, it comes down to how bad do

716
00:37:45,000 --> 00:37:47,359
Speaker 1: you think it is? Is it bad enough in order

717
00:37:47,360 --> 00:37:50,440
Speaker 1: to risk the lives of American soldiers. Here's the problem,

718
00:37:50,560 --> 00:37:54,080
Speaker 1: which is that currently the Biden administration says that, you know,

719
00:37:54,120 --> 00:37:57,960
Speaker 1: the penalties for invading Ukraine would be economic only. Okay,

720
00:37:58,560 --> 00:38:02,840
Speaker 1: that's a proportional response, I think. But here's the problem.

721
00:38:02,920 --> 00:38:06,640
Speaker 1: Right when you have these CIA backed rebels and they're

722
00:38:06,719 --> 00:38:09,800
Speaker 1: there and they start firing off and maybe they fail,

723
00:38:09,960 --> 00:38:12,040
Speaker 1: and then there's pressure here in the national security state

724
00:38:12,080 --> 00:38:14,160
Speaker 1: in order to escalate even more, you've got to give

725
00:38:14,200 --> 00:38:16,480
Speaker 1: them more arms. Have you heard this story before. It's

726
00:38:16,520 --> 00:38:19,319
Speaker 1: called the Bay of Pigs. This literally happened already, and

727
00:38:19,400 --> 00:38:22,160
Speaker 1: this is the problem. There's steps up the escalation ladder

728
00:38:22,200 --> 00:38:25,160
Speaker 1: that can make it and bring the tensions extremely high

729
00:38:25,320 --> 00:38:27,800
Speaker 1: and make it so that, you know, Russia could feel

730
00:38:28,000 --> 00:38:30,719
Speaker 1: as if we have you know, literally exported troops here

731
00:38:30,880 --> 00:38:34,880
Speaker 1: then encroaching on what they would consider their sovereign territory,

732
00:38:35,160 --> 00:38:37,880
Speaker 1: especially if they add exit. I'm not saying even that

733
00:38:37,920 --> 00:38:40,320
Speaker 1: I agree, but it's important to always understand that the

734
00:38:40,480 --> 00:38:42,480
Speaker 1: enemy gets a vote whenever it comes to war, and

735
00:38:42,560 --> 00:38:46,400
Speaker 1: especially whenever it comes to strategic posturing and conflict and

736
00:38:46,480 --> 00:38:49,239
Speaker 1: trying to understand and see the failures of the US

737
00:38:49,320 --> 00:38:52,279
Speaker 1: national security establishment. You had the hubrist to think that

738
00:38:52,360 --> 00:38:55,080
Speaker 1: you could invite Ukraine and Georgia into NATO back in

739
00:38:55,080 --> 00:38:57,239
Speaker 1: two thousand and eight and just simply think that the

740
00:38:57,320 --> 00:38:59,560
Speaker 1: Russians would be too weak and do nothing to care

741
00:38:59,600 --> 00:39:03,040
Speaker 1: about it. It's crazy. Look, yes, they're a failing economy,

742
00:39:03,120 --> 00:39:07,400
Speaker 1: they're massive demographic decline, and their economy or their society

743
00:39:07,480 --> 00:39:11,200
Speaker 1: is mostly like a joke, but they have nuclear weapons.

744
00:39:11,320 --> 00:39:15,479
Speaker 1: You have to respect that. These are also historically proud

745
00:39:15,560 --> 00:39:17,880
Speaker 1: people who are not going to be pushed around and

746
00:39:17,920 --> 00:39:21,560
Speaker 1: have a much higher capacity for suffering and for tension

747
00:39:21,760 --> 00:39:25,320
Speaker 1: than we ever do here in the West. Any read

748
00:39:25,400 --> 00:39:28,120
Speaker 1: of Russian history will tell you that, and respect your

749
00:39:28,120 --> 00:39:30,680
Speaker 1: adversary and understand where they're coming from. That is true.

750
00:39:30,840 --> 00:39:32,880
Speaker 1: That is true, And if you don't, then you're going

751
00:39:32,920 --> 00:39:36,440
Speaker 1: to be very confused about what events are unfolding and

752
00:39:36,520 --> 00:39:39,279
Speaker 1: why they're unfolding, and what the actual options are that

753
00:39:39,360 --> 00:39:41,759
Speaker 1: are on the table. And even with the economic sanctions,

754
00:39:41,840 --> 00:39:44,560
Speaker 1: I mean, these are either mostly for show and they

755
00:39:44,560 --> 00:39:48,360
Speaker 1: don't have any impact, or they fall on not the elites.

756
00:39:48,400 --> 00:39:51,120
Speaker 1: No matter how you target them, they always have ways

757
00:39:51,160 --> 00:39:53,760
Speaker 1: of getting around this. They fall hardest on the people.

758
00:39:53,960 --> 00:39:57,000
Speaker 1: I mean, that's what economic sanctions ultimately do. You're punishing.

759
00:39:57,080 --> 00:39:59,399
Speaker 1: You're much more likely to punish the Russian people than

760
00:39:59,440 --> 00:40:02,080
Speaker 1: you are to and Vladimir Putin whin any sort of

761
00:40:02,560 --> 00:40:06,000
Speaker 1: sanctions regime. So those are the stakes. That's sort of

762
00:40:06,040 --> 00:40:10,080
Speaker 1: the context as you're consuming news. Just keep in mind

763
00:40:10,600 --> 00:40:13,400
Speaker 1: that we can very easily spot the sort of like

764
00:40:13,520 --> 00:40:18,240
Speaker 1: state media propaganda, provda and whatever coming out of Russia.

765
00:40:18,760 --> 00:40:21,759
Speaker 1: Just know you are getting just as much propaganda from

766
00:40:21,760 --> 00:40:24,879
Speaker 1: your government. It's just done in an even more sort

767
00:40:24,880 --> 00:40:27,720
Speaker 1: of like crafty and often effective way because they pose

768
00:40:27,760 --> 00:40:30,760
Speaker 1: as neutral journalists, which at least some people still believe

769
00:40:30,760 --> 00:40:32,799
Speaker 1: them to be. Absolutely and it has a capacity to

770
00:40:32,960 --> 00:40:35,800
Speaker 1: really get completely out of control when bullets start flying.

771
00:40:36,200 --> 00:40:38,759
Speaker 1: I mean, you know, missiles, and this is not a

772
00:40:39,080 --> 00:40:41,239
Speaker 1: you know, this is not some Ak forty seven war

773
00:40:41,280 --> 00:40:44,120
Speaker 1: in Afghanistan. This is a real nuclear power. This is

774
00:40:44,120 --> 00:40:47,240
Speaker 1: a proxy conflict which has hundreds of years of history

775
00:40:47,280 --> 00:40:49,520
Speaker 1: and tension. I was just listening to something this morning,

776
00:40:49,560 --> 00:40:53,520
Speaker 1: a Russian history podcast about wars over like Smolenskin stuff.

777
00:40:53,640 --> 00:40:56,520
Speaker 1: This goes back to like fifteen hundred, right, So it's

778
00:40:56,560 --> 00:41:00,480
Speaker 1: important to understand that context. It's important to also realize

779
00:41:00,600 --> 00:41:04,600
Speaker 1: the escalation ladders, and that whenever you have constrained options

780
00:41:04,600 --> 00:41:07,280
Speaker 1: that come from the National security state and their interest

781
00:41:07,320 --> 00:41:10,080
Speaker 1: in their long held dream really of confronting Russia, that

782
00:41:10,160 --> 00:41:12,759
Speaker 1: Biden could really be put into a box and put

783
00:41:12,800 --> 00:41:16,040
Speaker 1: in a situation which is not in anybody's interest out

784
00:41:16,080 --> 00:41:18,600
Speaker 1: in East. That's what they're so good at is putting

785
00:41:18,600 --> 00:41:20,759
Speaker 1: presidents in a box, and I mean, yeah, that's what

786
00:41:20,840 --> 00:41:23,560
Speaker 1: happened with bea Pig, exactly what JFK said. Now, I'm

787
00:41:23,560 --> 00:41:25,880
Speaker 1: not going the next level that you want me ultimately

788
00:41:25,920 --> 00:41:30,400
Speaker 1: to go. All right, let's talk about congresson Dan Crenshaw.

789
00:41:31,160 --> 00:41:36,960
Speaker 1: He was confronted by a young woman down in Texas

790
00:41:37,000 --> 00:41:40,560
Speaker 1: at I believe a tea party meeting who was trying

791
00:41:40,600 --> 00:41:44,360
Speaker 1: to ask him about the differences between how he portrays

792
00:41:44,440 --> 00:41:48,520
Speaker 1: himself when he's speaking to a broader podcast audience and

793
00:41:48,560 --> 00:41:51,759
Speaker 1: when he's back home speaking to his constituents, and how

794
00:41:51,800 --> 00:41:54,879
Speaker 1: he portrays himself. Let's take a look at how that went.

795
00:41:55,920 --> 00:42:02,200
Speaker 1: WHOA said, the most important thing here is that we

796
00:42:02,280 --> 00:42:05,680
Speaker 1: have hero archetypes that we look up to. Jesus is

797
00:42:05,719 --> 00:42:09,440
Speaker 1: a hero archetype. Superman is a hero archetype. Real characters

798
00:42:09,480 --> 00:42:12,480
Speaker 1: to it too. I could name a thousand Rosa Parks

799
00:42:12,520 --> 00:42:17,360
Speaker 1: throw end quote. I can't around well, I'll help you

800
00:42:17,600 --> 00:42:20,040
Speaker 1: put a period out here. Word Jesus, and no question

801
00:42:20,120 --> 00:42:37,160
Speaker 1: my faith's moron, don't question my O. You guys can

802
00:42:37,239 --> 00:42:39,560
Speaker 1: ask questions about all of these things and I will

803
00:42:39,600 --> 00:42:43,360
Speaker 1: answer them, but don't question my faith. I can't question

804
00:42:43,480 --> 00:42:47,920
Speaker 1: your faith and this is what you said. That's I mean,

805
00:42:47,960 --> 00:42:50,719
Speaker 1: you can read the quote again, but no, we're in

806
00:42:50,760 --> 00:42:53,000
Speaker 1: that quote of my seeing Jesus is not real. That's

807
00:42:53,000 --> 00:42:57,319
Speaker 1: a ridiculous statement. Of Course he's the son of God.

808
00:42:58,360 --> 00:42:59,960
Speaker 1: Of course he's the son of God. And of course

809
00:43:01,000 --> 00:43:03,000
Speaker 1: say two different things. You can say that on a

810
00:43:03,040 --> 00:43:06,120
Speaker 1: podcast and you can say this here on the podcast.

811
00:43:06,320 --> 00:43:08,200
Speaker 1: We would have understood it that way. I think you're

812
00:43:08,239 --> 00:43:17,840
Speaker 1: twisting it that way. Is not very Christian. It's not

813
00:43:18,800 --> 00:43:22,040
Speaker 1: And I'm not gonna have my favorite question. I'm not

814
00:43:22,040 --> 00:43:26,560
Speaker 1: gonna have my favorite question. Now. That's what you might

815
00:43:26,600 --> 00:43:30,560
Speaker 1: call a disproportionate response, Fir Crystal. But they got no

816
00:43:30,640 --> 00:43:34,440
Speaker 1: dog in this fight over the you know, actual interpretations

817
00:43:34,480 --> 00:43:38,880
Speaker 1: of evangelism. But to me, it's just extraordinarily disrespectful in

818
00:43:38,960 --> 00:43:41,880
Speaker 1: order to speak to a young girl constituent that way,

819
00:43:41,960 --> 00:43:47,360
Speaker 1: especially so he did, especially when she was just quoting you, Congressman.

820
00:43:47,640 --> 00:43:51,520
Speaker 1: Here is what he actually said. Take a listen. So

821
00:43:51,640 --> 00:43:55,040
Speaker 1: that's important. I mean, that's the important thing is here

822
00:43:55,040 --> 00:43:57,799
Speaker 1: is that we have societal hero archetypes that we look

823
00:43:57,880 --> 00:44:01,640
Speaker 1: up to. Jesus is a is a hero archetype. Superman

824
00:44:01,760 --> 00:44:04,960
Speaker 1: is a hero archetype. Real characters too. You know, I

825
00:44:05,000 --> 00:44:08,440
Speaker 1: put you can name a thousand, you know, Rosa Parks,

826
00:44:08,760 --> 00:44:12,520
Speaker 1: Ronald Reagan, all of these people embody certain attributes that

827
00:44:12,560 --> 00:44:15,520
Speaker 1: the American people think this is good. Yeah. So what

828
00:44:15,640 --> 00:44:18,480
Speaker 1: she's trying to get at here is Okay, you go

829
00:44:18,600 --> 00:44:21,680
Speaker 1: on Jocko Wellings podcast and you say, Jesus is a

830
00:44:21,719 --> 00:44:25,719
Speaker 1: hero archetype, just like Superman, just like also real characters

831
00:44:25,760 --> 00:44:28,759
Speaker 1: like Rosa Parks. But when you're back home, Jesus is

832
00:44:28,760 --> 00:44:31,080
Speaker 1: the literal son of God, et cetera, et cetera. So

833
00:44:31,440 --> 00:44:34,480
Speaker 1: listen again, I'm not here to question his faith. But

834
00:44:34,640 --> 00:44:37,640
Speaker 1: she is pointing out something that is reasonable, which is Look,

835
00:44:37,680 --> 00:44:40,440
Speaker 1: there seems to be a bit of a divide between

836
00:44:40,440 --> 00:44:43,120
Speaker 1: how you're presenting yourself in these spaces versus how you're

837
00:44:43,120 --> 00:44:46,200
Speaker 1: presenting yourself in this space. The most revealing part, though,

838
00:44:46,360 --> 00:44:49,920
Speaker 1: is how just how pissed off. I mean, she really

839
00:44:49,920 --> 00:44:53,279
Speaker 1: got under his skin here, and the audience turns on

840
00:44:53,360 --> 00:44:57,000
Speaker 1: him immediately. You know that you've really lost a conservative

841
00:44:57,040 --> 00:45:02,760
Speaker 1: audience when they start cheering let's go breathe. And I think,

842
00:45:02,880 --> 00:45:05,880
Speaker 1: I mean he must be feeling sort of like Ego

843
00:45:06,000 --> 00:45:09,360
Speaker 1: bruised because there was a time when he really looked

844
00:45:09,360 --> 00:45:11,560
Speaker 1: like this sort of up and coming star in the

845
00:45:11,560 --> 00:45:15,120
Speaker 1: GOP and now more of the like super Trump a

846
00:45:15,160 --> 00:45:18,200
Speaker 1: line figures like Marjorie Taylor Green and Matt Gats. They're

847
00:45:18,239 --> 00:45:21,560
Speaker 1: sort of like the base superstars, And so I think

848
00:45:21,560 --> 00:45:25,840
Speaker 1: there's some sensitivity there perhaps, I you know, I find

849
00:45:25,920 --> 00:45:28,399
Speaker 1: him almost a tragic figure because he really is an

850
00:45:28,520 --> 00:45:33,040
Speaker 1: unreconstructed neocon. He does seem like he's interpersonally a nice guy.

851
00:45:33,440 --> 00:45:35,280
Speaker 1: I will give him. This is a very like Boss's

852
00:45:35,280 --> 00:45:38,759
Speaker 1: Heart kind of analysis. Yeah, some people online call it

853
00:45:38,800 --> 00:45:41,080
Speaker 1: a crinshaw. I would never say that. I'm just saying

854
00:45:41,080 --> 00:45:43,359
Speaker 1: that some people call him that, and I think that

855
00:45:43,400 --> 00:45:46,480
Speaker 1: pretty much sums him up pretty well, because here's the thing.

856
00:45:46,800 --> 00:45:50,360
Speaker 1: He does seem unreconstructed in his beliefs. But and like

857
00:45:50,400 --> 00:45:52,600
Speaker 1: I said, I literally don't care. I have no dog

858
00:45:52,640 --> 00:45:55,000
Speaker 1: in this. But I grew up around evangelicals and to

859
00:45:55,040 --> 00:45:57,440
Speaker 1: them this stuff is very important. So I kind of understand,

860
00:45:57,440 --> 00:45:59,840
Speaker 1: because I'm from Texas kind of why all this literal

861
00:45:59,880 --> 00:46:01,439
Speaker 1: is and all that stuff makes a lot of sense

862
00:46:01,440 --> 00:46:04,080
Speaker 1: and why it's very important to them. And the girl

863
00:46:04,160 --> 00:46:06,120
Speaker 1: has a point, which is that you're presenting yourself one

864
00:46:06,160 --> 00:46:09,360
Speaker 1: way whenever it comes to this podcast and now you

865
00:46:09,360 --> 00:46:12,120
Speaker 1: know you said this, what did you mean? You know,

866
00:46:12,239 --> 00:46:14,920
Speaker 1: saying don't question my faith or whatever is a ridiculous

867
00:46:14,960 --> 00:46:17,479
Speaker 1: way in order to respond to that, especially when she's

868
00:46:17,520 --> 00:46:20,960
Speaker 1: directly quoting you. And I find hubris amongst these people

869
00:46:21,200 --> 00:46:24,399
Speaker 1: to think that when they're representing us, that they are

870
00:46:24,520 --> 00:46:28,360
Speaker 1: unquestionable no matter what the question is to be ludicrous.

871
00:46:28,400 --> 00:46:30,720
Speaker 1: That's why we decided to highlight it on the show.

872
00:46:30,800 --> 00:46:33,719
Speaker 1: And by the way, if anybody is listening out there

873
00:46:33,760 --> 00:46:35,879
Speaker 1: in the state of Texas and would like to ask

874
00:46:35,920 --> 00:46:38,800
Speaker 1: Congressman Crenshaw question, let's put this up there on the screen.

875
00:46:38,840 --> 00:46:41,880
Speaker 1: As we alluded to during our stock trading session, Congressman

876
00:46:42,000 --> 00:46:46,600
Speaker 1: crenshaw stock trading return yielded the fifth highest return in

877
00:46:46,760 --> 00:46:51,640
Speaker 1: all of Congress. In fact, he actually beat Nancy Pelosi

878
00:46:52,000 --> 00:46:55,960
Speaker 1: in terms of his return. Wow. You should recall Pelosi's

879
00:46:56,080 --> 00:47:00,600
Speaker 1: husband herself himself is you know, one hundred millionaire or whatever,

880
00:47:00,880 --> 00:47:05,319
Speaker 1: and routinely trades multimillion dollar stock options. So I'm really

881
00:47:05,360 --> 00:47:08,600
Speaker 1: curious what did he what did he buy? What's he

882
00:47:08,680 --> 00:47:12,160
Speaker 1: doing over there? And this is again the point, which

883
00:47:12,200 --> 00:47:15,200
Speaker 1: is that when you have the ability in order to

884
00:47:15,320 --> 00:47:18,399
Speaker 1: see exactly what these guys are doing, and then beat

885
00:47:18,440 --> 00:47:21,799
Speaker 1: the S and P five hundred so dramatically to be

886
00:47:21,840 --> 00:47:25,759
Speaker 1: the fifth highest returning person in all of Congress. And

887
00:47:25,800 --> 00:47:28,719
Speaker 1: then you also set up a paradigm through which nobody's

888
00:47:28,760 --> 00:47:32,040
Speaker 1: allowed to question your good faith or nobody's allowed to

889
00:47:32,120 --> 00:47:35,880
Speaker 1: question your integrity maybe as a lawmaker, without you shouting

890
00:47:35,920 --> 00:47:38,839
Speaker 1: them down. Well, I think that that is a little

891
00:47:38,840 --> 00:47:40,799
Speaker 1: bit of a problem. And that's what you can see

892
00:47:40,800 --> 00:47:44,080
Speaker 1: here in terms of the ego, where she shrouded himself

893
00:47:44,120 --> 00:47:47,319
Speaker 1: in and routinely I've seen him do this with constituents,

894
00:47:47,360 --> 00:47:49,919
Speaker 1: where people constituents and others will confront him and he'll

895
00:47:50,040 --> 00:47:52,640
Speaker 1: lecture and you know, kind of talk down to them. Yeah.

896
00:47:52,880 --> 00:47:55,359
Speaker 1: I just think it's the most entitled attitude. It's the

897
00:47:55,400 --> 00:47:58,200
Speaker 1: worst type of thing that you see amongst an elected representative.

898
00:47:58,320 --> 00:48:00,560
Speaker 1: And you know, you see some politicians who can kind

899
00:48:00,560 --> 00:48:03,440
Speaker 1: of get away with this type of bullying. Oh, Christmas

900
00:48:03,520 --> 00:48:05,480
Speaker 1: is a classic example, and Chris Christy is the other

901
00:48:05,520 --> 00:48:07,880
Speaker 1: person I was thinking of. I mean, Chris Christie basically

902
00:48:07,920 --> 00:48:12,640
Speaker 1: became a thing nationally from yelling at teachers at town

903
00:48:12,719 --> 00:48:15,879
Speaker 1: hall meetings. Crenshaw doesn't have the goods to be able

904
00:48:15,920 --> 00:48:18,160
Speaker 1: to pull that off. I mean, that's very clear from

905
00:48:18,160 --> 00:48:21,680
Speaker 1: this exchange where the audience just immediately is on the

906
00:48:21,760 --> 00:48:26,040
Speaker 1: side of this young woman who is ultimately asking the question.

907
00:48:26,040 --> 00:48:28,600
Speaker 1: Newsweek says she's eighteen. The clip there said she's ten.

908
00:48:28,680 --> 00:48:30,520
Speaker 1: I don't know how old she is. It really doesn't matter.

909
00:48:30,560 --> 00:48:33,040
Speaker 1: The point is that he was an asshole to her

910
00:48:33,400 --> 00:48:36,000
Speaker 1: and the audience was really not impressed. Just to put

911
00:48:36,080 --> 00:48:39,840
Speaker 1: some more meat on the bones. In terms of Crenshaw's

912
00:48:39,880 --> 00:48:43,320
Speaker 1: incredible stock trading performance, if you want a few tips

913
00:48:43,320 --> 00:48:45,880
Speaker 1: here in how he was able to make so much money.

914
00:48:46,320 --> 00:48:49,440
Speaker 1: So in March of twenty twenty, he made half a

915
00:48:49,480 --> 00:48:52,160
Speaker 1: dozen buys while the country went into lockdown and Congress

916
00:48:52,200 --> 00:48:55,840
Speaker 1: was debating a huge economic stimulus package that included purchasing

917
00:48:55,840 --> 00:48:58,920
Speaker 1: stock in Boeing. That's a company that successfully lobbied for

918
00:48:59,000 --> 00:49:02,279
Speaker 1: billions of dollars from the Cares Act. Not to mention,

919
00:49:02,680 --> 00:49:05,760
Speaker 1: he also failed to disclose all of those trades for months,

920
00:49:06,040 --> 00:49:09,640
Speaker 1: which is actually a violation of the law, the Stock Act,

921
00:49:09,719 --> 00:49:12,799
Speaker 1: which at least gives us some transparency around what these

922
00:49:12,880 --> 00:49:16,359
Speaker 1: jokers are doing. Wow, that's just incredible, But you know,

923
00:49:16,400 --> 00:49:19,760
Speaker 1: it's very revealing as to what exactly goes on behind

924
00:49:19,800 --> 00:49:22,080
Speaker 1: the scenes. So once again, I mean we should hold

925
00:49:22,080 --> 00:49:25,760
Speaker 1: our elected leaders accountable. That's exactly what that young woman

926
00:49:25,840 --> 00:49:28,440
Speaker 1: was doing. She was asking him a question. Nothing is

927
00:49:28,440 --> 00:49:31,920
Speaker 1: out of bounds when you're questioning an elected representative, and

928
00:49:32,000 --> 00:49:35,000
Speaker 1: acting that way is disgraceful. Let's go ahead and add

929
00:49:35,040 --> 00:49:38,040
Speaker 1: on to the Joe Rogan episode. Been looking forward to

930
00:49:38,120 --> 00:49:40,600
Speaker 1: this one for a long time, so you might have

931
00:49:40,680 --> 00:49:43,959
Speaker 1: seen online a lot of doctors are calling for Joe

932
00:49:44,000 --> 00:49:49,480
Speaker 1: Rogan's censorship of Joe Rogan's podcast, specifically asking Spotify to

933
00:49:49,920 --> 00:49:53,359
Speaker 1: take it down. Now, this is interesting because the two

934
00:49:53,480 --> 00:49:56,640
Speaker 1: hundred and seventy doctors that keeps getting cited, let's put

935
00:49:56,640 --> 00:49:59,319
Speaker 1: this up there on the screen. Yeah, it turns out

936
00:49:59,520 --> 00:50:05,320
Speaker 1: most of are not medical doctors. They are PhDs, which listen,

937
00:50:05,400 --> 00:50:07,920
Speaker 1: I'm not saying they don't have the title doctor, but

938
00:50:08,280 --> 00:50:11,480
Speaker 1: if you're gonna go ahead and tout two hundred and

939
00:50:11,560 --> 00:50:15,920
Speaker 1: seventy doctors say that Joe Rogan's podcast is full of misinformation,

940
00:50:16,320 --> 00:50:19,279
Speaker 1: and one of them is like assistant professor at the

941
00:50:19,320 --> 00:50:24,200
Speaker 1: Federal University of Santa Katerina. Well, I've got some questions,

942
00:50:24,520 --> 00:50:27,640
Speaker 1: and it turns out that some of these people are

943
00:50:27,680 --> 00:50:32,279
Speaker 1: like postdoctoral fellows. Some of them are psychologists, some of

944
00:50:32,320 --> 00:50:36,480
Speaker 1: them are editors, some of them aren't professors, some of

945
00:50:36,520 --> 00:50:40,200
Speaker 1: them are psychotherapists. The point one of the event is

946
00:50:40,239 --> 00:50:43,880
Speaker 1: a veterinarian. One of them is a podcast host. Oh okay,

947
00:50:44,200 --> 00:50:47,239
Speaker 1: features engineers, social workers that I'm not even sure they

948
00:50:47,239 --> 00:50:50,279
Speaker 1: all have PhDs, not clearly, I'm not even I'm not

949
00:50:50,520 --> 00:50:54,600
Speaker 1: denigrating these folks whatsoever. I am actually blaming the media

950
00:50:54,680 --> 00:50:58,240
Speaker 1: for taking it so seriously and then gaslighting folks into

951
00:50:58,280 --> 00:51:01,000
Speaker 1: thinking that the majority of the these people, whenever you

952
00:51:01,080 --> 00:51:05,680
Speaker 1: hear two hundred and seventy doctors are not actual doctors.

953
00:51:06,080 --> 00:51:08,319
Speaker 1: And the way that they present this is just so

954
00:51:08,960 --> 00:51:13,239
Speaker 1: utterly disingenuous. And we saw a perfect representative of that

955
00:51:13,560 --> 00:51:16,360
Speaker 1: on CNN in the way that they covered this story.

956
00:51:16,520 --> 00:51:20,600
Speaker 1: Take a listen and Joe Rogan so significant here because

957
00:51:20,640 --> 00:51:24,520
Speaker 1: it's the most listened to podcast in the world. Millions

958
00:51:24,520 --> 00:51:27,080
Speaker 1: of people listen to each episode. Have you heard anything

959
00:51:27,160 --> 00:51:32,520
Speaker 1: quickly from Spotify? Now? We have not, okay, So we

960
00:51:32,560 --> 00:51:34,760
Speaker 1: reached out to Spotify, We reached out to Joe Rogan.

961
00:51:34,800 --> 00:51:36,520
Speaker 1: We've not heard anything, but I want to read to

962
00:51:36,520 --> 00:51:40,440
Speaker 1: you what Spotify said the statement they released back in

963
00:51:40,480 --> 00:51:43,239
Speaker 1: April after Joe Rogan said that he would advise a

964
00:51:43,239 --> 00:51:46,000
Speaker 1: twenty one year old against getting vaccinated. This is what

965
00:51:46,040 --> 00:51:51,560
Speaker 1: Spotify said. Spotify prohibits content on the platform which promotes dangerous, false, deceptive,

966
00:51:51,800 --> 00:51:55,000
Speaker 1: or misleading content about COVID nineteen that may cause offline

967
00:51:55,040 --> 00:51:57,840
Speaker 1: harm and or oppose a direct threat to public health.

968
00:51:58,040 --> 00:52:01,120
Speaker 1: When content that violates this standard is identified, it is

969
00:52:01,160 --> 00:52:04,040
Speaker 1: removed from the platform. Is that not good enough? But

970
00:52:04,120 --> 00:52:06,560
Speaker 1: what do you think about that? Well, it's just not

971
00:52:06,640 --> 00:52:08,759
Speaker 1: being enforced, right, I mean, if we talk about the

972
00:52:08,800 --> 00:52:10,640
Speaker 1: word prohibit, that would mean it would not be allowed

973
00:52:10,680 --> 00:52:13,280
Speaker 1: to air. I know that YouTube removed the video version

974
00:52:13,360 --> 00:52:16,800
Speaker 1: of the podcast, but that podcast is still available on Spotify,

975
00:52:16,840 --> 00:52:19,120
Speaker 1: and that is a problem because it is clearly Oh

976
00:52:19,160 --> 00:52:21,400
Speaker 1: it's clearly misinformation. By the way, I went in that

977
00:52:21,480 --> 00:52:23,319
Speaker 1: hill looked it up. It took me two seconds to

978
00:52:23,360 --> 00:52:26,640
Speaker 1: find same doctor. June of twenty twenty, during the Floyd protests,

979
00:52:26,640 --> 00:52:28,640
Speaker 1: that go ahead and protest because racism is still a

980
00:52:28,640 --> 00:52:31,040
Speaker 1: public health crisis. These people are so full of it

981
00:52:31,040 --> 00:52:34,800
Speaker 1: it drives me completely crazy. And you know, she actually

982
00:52:34,800 --> 00:52:37,240
Speaker 1: happens to be one of the real doctors who presents herself,

983
00:52:37,440 --> 00:52:40,879
Speaker 1: but who arbitrated and made you the person who gets

984
00:52:40,880 --> 00:52:43,759
Speaker 1: to decide what is online and what is not. I mean,

985
00:52:43,960 --> 00:52:47,200
Speaker 1: here's the other thing that really bothers me. We talked

986
00:52:47,200 --> 00:52:50,279
Speaker 1: about the Robert Malone podcast, right, and I had my

987
00:52:50,360 --> 00:52:52,879
Speaker 1: issues with that, which we litigated. We're gonna have doctor

988
00:52:52,920 --> 00:52:56,000
Speaker 1: Persona on actually to go through all of the claims

989
00:52:56,000 --> 00:53:01,560
Speaker 1: have been made. He's a doctor hedmph. Yeah, nuanced, fact based,

990
00:53:02,200 --> 00:53:05,719
Speaker 1: non ideological approach to these things. So we'll wait and

991
00:53:05,800 --> 00:53:08,279
Speaker 1: go through the claims with him. But you know, we

992
00:53:08,440 --> 00:53:11,680
Speaker 1: just did this segment on Ukraine and all of the

993
00:53:11,719 --> 00:53:15,839
Speaker 1: government propaganda and misinformation propagated by people like CNN, Zo

994
00:53:16,040 --> 00:53:20,920
Speaker 1: Natasha Bertrand, and somehow that doesn't alarm them, that doesn't

995
00:53:20,960 --> 00:53:25,800
Speaker 1: make them want to censor and labor as misinformation. And listen,

996
00:53:25,880 --> 00:53:27,880
Speaker 1: I want to be careful about how I say this,

997
00:53:28,000 --> 00:53:31,480
Speaker 1: because you guys know, I am very pro vaxed. I

998
00:53:31,520 --> 00:53:34,120
Speaker 1: am vaxed, I am boosted. My kids are vexed, at

999
00:53:34,200 --> 00:53:36,160
Speaker 1: least the ones who are old enough to have received

1000
00:53:36,160 --> 00:53:38,439
Speaker 1: the vaccination. And I think that it is a good

1001
00:53:38,480 --> 00:53:41,560
Speaker 1: idea for yourself and your community to get vaccinated. I

1002
00:53:41,640 --> 00:53:44,280
Speaker 1: looked at the numbers yesterday in preparation for the segment

1003
00:53:44,560 --> 00:53:48,200
Speaker 1: from the Mayo Clinic of what percent of the US

1004
00:53:48,320 --> 00:53:52,240
Speaker 1: adult population has been vaccinated at this point for both

1005
00:53:52,320 --> 00:53:56,160
Speaker 1: of the oldest age ranges to have received at least

1006
00:53:56,320 --> 00:54:00,600
Speaker 1: one dose, It was near one hundred percent. Yes, I know,

1007
00:54:00,680 --> 00:54:04,319
Speaker 1: if you're over seventy five, near one hundred percent of

1008
00:54:04,360 --> 00:54:07,640
Speaker 1: those individuals who are the most at risk have received

1009
00:54:07,760 --> 00:54:10,319
Speaker 1: a dose. If you're older than sixty five, near one

1010
00:54:10,400 --> 00:54:15,760
Speaker 1: hundred very very high numbers have gotten vaccinated at this point. Okay,

1011
00:54:16,120 --> 00:54:18,960
Speaker 1: So I think we also have created in the media

1012
00:54:19,560 --> 00:54:25,240
Speaker 1: this perception of a much larger pool of totally unvaccinated

1013
00:54:25,239 --> 00:54:29,000
Speaker 1: people then actually exists, so true, and they fixate on

1014
00:54:29,080 --> 00:54:31,960
Speaker 1: it like it's the only problem in society, and it's

1015
00:54:32,000 --> 00:54:36,160
Speaker 1: the only place where there is misinformation and bad information,

1016
00:54:36,280 --> 00:54:39,640
Speaker 1: and like it's a sort of unique evil. And I

1017
00:54:39,760 --> 00:54:42,480
Speaker 1: just think if you look at the landscape of problems

1018
00:54:42,520 --> 00:54:45,839
Speaker 1: and lies coming out of the of the media, like

1019
00:54:45,920 --> 00:54:48,360
Speaker 1: it's very hard to make the case that this is

1020
00:54:48,440 --> 00:54:52,280
Speaker 1: the worst example. Not to mention it's such a lazy

1021
00:54:52,400 --> 00:54:55,640
Speaker 1: way to deal with the problem. Again, we're having doctor

1022
00:54:55,640 --> 00:54:57,239
Speaker 1: Prisata on you know what, he did. When he saw

1023
00:54:57,280 --> 00:54:59,200
Speaker 1: things that he didn't agree with and didn't think was

1024
00:54:59,239 --> 00:55:02,760
Speaker 1: backed by the science. He wrote a lengthy post going

1025
00:55:02,800 --> 00:55:05,080
Speaker 1: through each of the claims, thing, Oh, this one's supported,

1026
00:55:05,120 --> 00:55:07,480
Speaker 1: here's the debt, this one's not. This one's a mixed bag.

1027
00:55:08,160 --> 00:55:11,160
Speaker 1: Do that actually take the time instead of just being

1028
00:55:11,200 --> 00:55:14,319
Speaker 1: like they're wrong, they're evil, and let's take it down.

1029
00:55:15,040 --> 00:55:18,719
Speaker 1: Take the time to go through rebut the claims, lay

1030
00:55:18,760 --> 00:55:21,720
Speaker 1: out the evidence and make the case. That would actually

1031
00:55:21,719 --> 00:55:25,080
Speaker 1: take time and brain power. Though, and also, by the way,

1032
00:55:25,600 --> 00:55:28,480
Speaker 1: the regime of just censoring and just pushing people off

1033
00:55:28,480 --> 00:55:30,839
Speaker 1: of the platform. Joe Rogan is extremely popular in some

1034
00:55:30,880 --> 00:55:33,279
Speaker 1: ways a competitive to CNN, so it's very convenient there.

1035
00:55:33,320 --> 00:55:35,760
Speaker 1: It's also very convenient for politicians who get to say,

1036
00:55:36,080 --> 00:55:38,200
Speaker 1: it's not my fault that, you know, it's not our

1037
00:55:38,239 --> 00:55:41,959
Speaker 1: fault that people have no trust in institutions and they're

1038
00:55:41,960 --> 00:55:46,800
Speaker 1: not taking basic public health seriously. It's these few bad actors,

1039
00:55:46,880 --> 00:55:50,520
Speaker 1: and so they can sort of scapegoat people who you know,

1040
00:55:50,600 --> 00:55:53,480
Speaker 1: they put in the bad actor category, whether it's Joe

1041
00:55:53,520 --> 00:55:56,040
Speaker 1: Rogan or anyone else, and it lets them off the

1042
00:55:56,080 --> 00:55:59,319
Speaker 1: hook for their own complete manifest failures in this work

1043
00:55:59,440 --> 00:56:01,279
Speaker 1: and I'll end it with this way, which is that

1044
00:56:01,360 --> 00:56:04,440
Speaker 1: there was a clip going around in which Joe actually

1045
00:56:04,440 --> 00:56:08,839
Speaker 1: invited a guy from Australia, Josh Sheps, to defend Australia's

1046
00:56:08,880 --> 00:56:12,560
Speaker 1: lockdown policy and argue with him about COVID on the show,

1047
00:56:12,680 --> 00:56:15,160
Speaker 1: and while they were having a debate, he did something

1048
00:56:15,320 --> 00:56:18,120
Speaker 1: you will never see on CNN. They were both arguing

1049
00:56:18,200 --> 00:56:22,359
Speaker 1: overclaims around myocarditis and Joe at Jamie pull it up

1050
00:56:22,480 --> 00:56:25,320
Speaker 1: and look it up and got corrected in real time

1051
00:56:25,600 --> 00:56:28,520
Speaker 1: on the show. Show me one instance of that happening

1052
00:56:28,520 --> 00:56:32,400
Speaker 1: on CNN, MSNBC or on Fox. It will never happen.

1053
00:56:32,600 --> 00:56:35,239
Speaker 1: Take a listen and watch how he comports himself. Where

1054
00:56:35,280 --> 00:56:39,600
Speaker 1: there's an adverse risk associated with the vaccine's two to

1055
00:56:39,640 --> 00:56:44,279
Speaker 1: four fold increase in the instances of myocarditis, yes, but

1056
00:56:44,360 --> 00:56:46,800
Speaker 1: you know what hospitalization. You know that there's an increased

1057
00:56:46,840 --> 00:56:50,239
Speaker 1: risk of myocarditis in among that coyhort from getting COVID

1058
00:56:50,320 --> 00:56:52,960
Speaker 1: as well, which exceeds the risk of my acadatist from

1059
00:56:52,960 --> 00:56:55,040
Speaker 1: the vaccine. I don't think that's true. I don't think

1060
00:56:55,040 --> 00:56:57,000
Speaker 1: that's true. No, no, no, I don't think it's true

1061
00:56:57,000 --> 00:56:59,960
Speaker 1: that there's an increased risk of myocarditis from people catching

1062
00:57:00,120 --> 00:57:03,359
Speaker 1: COVID that are young, versus increased risk of mile card

1063
00:57:03,360 --> 00:57:06,520
Speaker 1: iis from the vaccine. No, there is, Well let's look

1064
00:57:06,520 --> 00:57:08,600
Speaker 1: that up, because I don't think that's true. Biocard i

1065
00:57:08,840 --> 00:57:11,920
Speaker 1: is more common after COVID nineteen infection than vaccination. Was

1066
00:57:11,960 --> 00:57:18,200
Speaker 1: this with children, Yeah, we're talking about young peopen boys

1067
00:57:18,240 --> 00:57:21,880
Speaker 1: aged under thirty after this. What says here with children

1068
00:57:22,080 --> 00:57:24,280
Speaker 1: is the issue? Well, no, we were talking about fifteen

1069
00:57:24,360 --> 00:57:27,280
Speaker 1: year olds. Well we're talking about young children. Yeah, twelve

1070
00:57:27,280 --> 00:57:29,960
Speaker 1: to seventeen. Twelve to seventeen, more like to build mile

1071
00:57:30,040 --> 00:57:32,320
Speaker 1: cardis with three months of catching COVID at a rate

1072
00:57:32,360 --> 00:57:36,400
Speaker 1: of four point fifty cases per million infection. This compares

1073
00:57:36,440 --> 00:57:39,240
Speaker 1: to sixty seven cases of mile card idis per million

1074
00:57:39,520 --> 00:57:43,680
Speaker 1: at the same time fall their second dose of five Pfizer. Yeah,

1075
00:57:43,720 --> 00:57:46,240
Speaker 1: so you're about eight times likely to get my caardtists

1076
00:57:46,240 --> 00:57:49,320
Speaker 1: from getting COVID than from getting the vaccine. That's interesting.

1077
00:57:49,400 --> 00:57:52,240
Speaker 1: Now that is not what I've read before. But also

1078
00:57:52,320 --> 00:57:56,000
Speaker 1: it's like, well, even when we're reading these things, it's like,

1079
00:57:56,040 --> 00:57:57,360
Speaker 1: what are we getting this from? It was this from

1080
00:57:57,400 --> 00:58:01,280
Speaker 1: the report, but even from the vers reports when they

1081
00:58:01,440 --> 00:58:04,200
Speaker 1: report this stuff, it's like the amount of people that

1082
00:58:04,280 --> 00:58:08,920
Speaker 1: report like it's the underreporting. Show me somebody on CNA

1083
00:58:09,080 --> 00:58:11,440
Speaker 1: does that, you can't, that's my point. Well, and then

1084
00:58:11,440 --> 00:58:13,880
Speaker 1: he shares it himself. Yeah, and then he tweeted it

1085
00:58:13,920 --> 00:58:15,760
Speaker 1: out with sources and he was like, well, here's why

1086
00:58:15,760 --> 00:58:17,280
Speaker 1: I was confused, and here's what it says. And I

1087
00:58:17,360 --> 00:58:20,200
Speaker 1: still Louck Jeff steps and here's a substatic article actually

1088
00:58:20,200 --> 00:58:22,920
Speaker 1: by ven A Prossad. So look, in terms of figuring

1089
00:58:22,920 --> 00:58:25,000
Speaker 1: out what's right or not, I would put him much

1090
00:58:25,000 --> 00:58:28,080
Speaker 1: closer to determining the truth than the people over at CNN.

1091
00:58:32,400 --> 00:58:34,640
Speaker 1: All right, Zager, what are you looking at? Well? As

1092
00:58:34,680 --> 00:58:36,960
Speaker 1: my station in life has improved, I have been lucky

1093
00:58:37,040 --> 00:58:39,720
Speaker 1: enough to meet a few billionaires. Not lucky as in

1094
00:58:39,840 --> 00:58:42,280
Speaker 1: I was graced by their presence, lucky enough to actually

1095
00:58:42,280 --> 00:58:44,320
Speaker 1: get the chance to interact with them and learn a

1096
00:58:44,400 --> 00:58:47,720
Speaker 1: very important lesson. They're really not all that special. In fact,

1097
00:58:47,840 --> 00:58:50,120
Speaker 1: some of the ones that I've encountered, with rare exception,

1098
00:58:50,400 --> 00:58:52,920
Speaker 1: remained some of the most cringe and self entitled people

1099
00:58:53,080 --> 00:58:55,120
Speaker 1: that you could ever meet. And they seem to believe

1100
00:58:55,160 --> 00:58:56,920
Speaker 1: because they hit it big in one area of their

1101
00:58:56,960 --> 00:58:59,120
Speaker 1: life that they know exactly how the rest of the

1102
00:58:59,160 --> 00:59:01,600
Speaker 1: world works. They'll tell you, and the one thing you

1103
00:59:01,640 --> 00:59:04,120
Speaker 1: can mostly count on those people to do is to

1104
00:59:04,120 --> 00:59:07,040
Speaker 1: tell you what they think, to say the quiet part

1105
00:59:07,040 --> 00:59:10,720
Speaker 1: out loud. That's why what happened recently with Chamath Polly Hopatilla,

1106
00:59:10,920 --> 00:59:13,680
Speaker 1: who I confess I did used to like and had

1107
00:59:13,760 --> 00:59:16,200
Speaker 1: run rising back in the day for an epic CNBC

1108
00:59:16,400 --> 00:59:18,560
Speaker 1: rant that he gave in which he said the airline

1109
00:59:18,560 --> 00:59:20,680
Speaker 1: should go bankrupt in one of his lameests on his

1110
00:59:20,760 --> 00:59:23,760
Speaker 1: podcasts when he was discussing the treatment of wigers in China,

1111
00:59:24,120 --> 00:59:26,920
Speaker 1: gave the game away and unfortunately did not surprise me.

1112
00:59:27,000 --> 00:59:30,000
Speaker 1: Nobody cares about it, and nobody cares about what's happening

1113
00:59:30,000 --> 00:59:32,080
Speaker 1: to the weakers. Okay, you you bring it up because

1114
00:59:32,080 --> 00:59:33,960
Speaker 1: you really care, and I think what's nice to take

1115
00:59:34,000 --> 00:59:36,560
Speaker 1: care the rest of us don't care. I'm just telling

1116
00:59:36,640 --> 00:59:40,400
Speaker 1: you hard. I'm telling you. I'm telling you a very hard,

1117
00:59:40,480 --> 00:59:43,080
Speaker 1: ugly truth. Okay. Of all the things that I care about, yes,

1118
00:59:43,160 --> 00:59:46,000
Speaker 1: it is below my line. Okay, of all the things

1119
00:59:46,000 --> 00:59:49,600
Speaker 1: that I care about, it is below my line, just wow,

1120
00:59:49,760 --> 00:59:52,080
Speaker 1: below the lines of the things I care about. I

1121
00:59:52,080 --> 00:59:53,560
Speaker 1: wish I could tell you that if you listen to

1122
00:59:53,600 --> 00:59:56,680
Speaker 1: the full podcast, it gets better. Honestly, it gets worse.

1123
00:59:57,080 --> 01:00:00,560
Speaker 1: Chamath compares a single incident at Riker's Eye for why

1124
01:00:00,600 --> 01:00:04,200
Speaker 1: Americans should not care about weiger eradication in China. It's

1125
01:00:04,240 --> 01:00:07,600
Speaker 1: true galaxy brain level stuff. It also reveals a deep

1126
01:00:07,720 --> 01:00:11,200
Speaker 1: rot at the core of many of America's tech billionaires. Fundamentally,

1127
01:00:11,280 --> 01:00:14,440
Speaker 1: these people's outward morality aligns only with what they can

1128
01:00:14,480 --> 01:00:17,840
Speaker 1: get social media points for speaking out on and disappears

1129
01:00:17,880 --> 01:00:20,720
Speaker 1: if it ever conflicts with them making money now or

1130
01:00:20,720 --> 01:00:24,200
Speaker 1: in the future. From Chamath to Elon Musk to Ray Dalyio,

1131
01:00:24,320 --> 01:00:27,880
Speaker 1: a trend disappearing. The single greatest obstacle to US independence

1132
01:00:27,880 --> 01:00:31,280
Speaker 1: from Chinese economic servitude is the billionaire class of the

1133
01:00:31,400 --> 01:00:34,680
Speaker 1: United States. Dalyo is perhaps the best example. He's an

1134
01:00:34,880 --> 01:00:37,960
Speaker 1: icon on Wall Street, he's venerated for his trades and bets,

1135
01:00:38,000 --> 01:00:41,360
Speaker 1: and he's apparently passes for what they call an intellectual

1136
01:00:41,440 --> 01:00:45,000
Speaker 1: amongst the finance crew. Now. In his latest Bow to China,

1137
01:00:45,280 --> 01:00:48,640
Speaker 1: Daio said that the United States should adopt China's drive

1138
01:00:48,760 --> 01:00:52,000
Speaker 1: for common prosperity. And it just so happens that Dalyio

1139
01:00:52,240 --> 01:00:55,440
Speaker 1: has billions of dollars invested in China. He continues to

1140
01:00:55,480 --> 01:00:57,560
Speaker 1: shill for China at the highest levels of all of

1141
01:00:57,600 --> 01:00:59,800
Speaker 1: Wall Street. He even says that China is a better

1142
01:00:59,840 --> 01:01:02,520
Speaker 1: place to invest his money than the US because in

1143
01:01:02,600 --> 01:01:07,760
Speaker 1: China they have good internal order. That's code for authoritarian repression.

1144
01:01:08,080 --> 01:01:11,160
Speaker 1: But who can forget his most infamous moment on CNBC

1145
01:01:11,480 --> 01:01:14,520
Speaker 1: when he compared the disappearance of private individuals like Chinese

1146
01:01:14,520 --> 01:01:19,480
Speaker 1: tennis player Peng Shuai to a big brother, little sister relationship. Well,

1147
01:01:19,560 --> 01:01:22,000
Speaker 1: you recognize I think that what's going on in the

1148
01:01:22,120 --> 01:01:24,040
Speaker 1: United States and are there Look, there are things that

1149
01:01:24,080 --> 01:01:25,800
Speaker 1: happen in the United States that I don't agree with.

1150
01:01:25,800 --> 01:01:27,800
Speaker 1: That imagine you don't agree with. But I think that

1151
01:01:27,880 --> 01:01:29,720
Speaker 1: those things are different than some of the things we

1152
01:01:29,760 --> 01:01:33,880
Speaker 1: see happening in China. People aren't the government isn't disappearing

1153
01:01:33,920 --> 01:01:40,960
Speaker 1: people for example. Okay, look, you want to get into

1154
01:01:41,400 --> 01:01:45,280
Speaker 1: the policy of appearing people. I'll give a little bit

1155
01:01:45,320 --> 01:01:48,600
Speaker 1: of a perspective of that. Okay, what they have is

1156
01:01:48,640 --> 01:01:54,120
Speaker 1: an autocratic system, and one of the leaders described that.

1157
01:01:54,240 --> 01:01:59,040
Speaker 1: He said that the United States is a country of

1158
01:01:59,280 --> 01:02:04,040
Speaker 1: individual an individual, Liza, and that's what it's and that's

1159
01:02:04,080 --> 01:02:07,160
Speaker 1: what it's about. He said in China. It's an extension

1160
01:02:07,160 --> 01:02:10,800
Speaker 1: of the family. He said. If you look at the

1161
01:02:11,280 --> 01:02:16,160
Speaker 1: word and country in China, it consists of two characters state, family,

1162
01:02:16,680 --> 01:02:19,040
Speaker 1: and that has to do with confusion. And that's very

1163
01:02:19,120 --> 01:02:22,080
Speaker 1: much a top down and as a top down country.

1164
01:02:22,320 --> 01:02:24,520
Speaker 1: What they're doing is that it's that kind of like

1165
01:02:24,640 --> 01:02:27,720
Speaker 1: a strict parent. They behave like this. Yeah, include Elon

1166
01:02:27,840 --> 01:02:30,160
Speaker 1: Musk and opening a Tesla room in shinjaiing the site

1167
01:02:30,160 --> 01:02:33,560
Speaker 1: of Weiger atrocities. I literally just showed you examples all

1168
01:02:33,680 --> 01:02:36,560
Speaker 1: from just the last month. Look in a way, I

1169
01:02:36,560 --> 01:02:39,560
Speaker 1: don't blame China. They're using the greed of our billionaires

1170
01:02:39,560 --> 01:02:41,920
Speaker 1: in our open capitalist system that we have in order

1171
01:02:41,920 --> 01:02:45,120
Speaker 1: to exploit our democracy and compel the speech and actions

1172
01:02:45,160 --> 01:02:47,560
Speaker 1: of the richest and most powerful people in our country.

1173
01:02:47,800 --> 01:02:50,160
Speaker 1: And I've got bad news. As much as Trump talked

1174
01:02:50,160 --> 01:02:53,080
Speaker 1: a very big game, things have gotten far worse since

1175
01:02:53,080 --> 01:02:56,520
Speaker 1: he stepped on that escalator. In twenty fifteen. China's trade

1176
01:02:56,520 --> 01:02:59,520
Speaker 1: surplus and the US trade deficit visa VI China has

1177
01:02:59,640 --> 01:03:03,400
Speaker 1: literally hit an all time high. The pandemic scrambled to

1178
01:03:03,440 --> 01:03:05,920
Speaker 1: buy cheap stuff, which in no small part triggered the

1179
01:03:05,960 --> 01:03:10,040
Speaker 1: supply chain crisis. Has been a bonanza for the Chinese economy.

1180
01:03:10,320 --> 01:03:12,640
Speaker 1: As much as there is tough talk from Washington, the

1181
01:03:12,680 --> 01:03:16,040
Speaker 1: truth is we are more reliant on Beijing today than

1182
01:03:16,200 --> 01:03:20,000
Speaker 1: ever before in our history. Half of China's entire trade

1183
01:03:20,000 --> 01:03:23,680
Speaker 1: surplus is just the United States, a trend which continued

1184
01:03:23,800 --> 01:03:27,640
Speaker 1: under Trump during the pandemic and right now under Joe Biden.

1185
01:03:28,040 --> 01:03:29,960
Speaker 1: In fact, if you look below the hood of the

1186
01:03:30,080 --> 01:03:33,920
Speaker 1: US economy, we are exporting even less than before and

1187
01:03:34,040 --> 01:03:37,400
Speaker 1: losing the ability month after month to even make anything

1188
01:03:37,440 --> 01:03:41,280
Speaker 1: here in the US. Why because even the limited amount

1189
01:03:41,280 --> 01:03:43,400
Speaker 1: of manufacturing that we have left here in the US

1190
01:03:43,640 --> 01:03:47,160
Speaker 1: is vulnerable to supply chalks from China. The raw materials

1191
01:03:47,200 --> 01:03:49,960
Speaker 1: necessary and the limited number of other places to source

1192
01:03:50,200 --> 01:03:52,360
Speaker 1: means that when there's a shortage over there, there's a

1193
01:03:52,400 --> 01:03:55,640
Speaker 1: shortage over here, not just of things like actual finish goods,

1194
01:03:55,760 --> 01:03:58,080
Speaker 1: but literally in terms of the stuff that we need

1195
01:03:58,280 --> 01:04:01,600
Speaker 1: just to manufacture. The biggest problem in America today is

1196
01:04:01,640 --> 01:04:04,000
Speaker 1: that the easiest way to get rich is not by

1197
01:04:04,000 --> 01:04:07,960
Speaker 1: building a world changing company and creating jobs here, thus

1198
01:04:08,000 --> 01:04:12,080
Speaker 1: making America more resilient, but instead stripping existing companies of

1199
01:04:12,160 --> 01:04:14,720
Speaker 1: value to the absolute bare bones, offshoring as much as

1200
01:04:14,760 --> 01:04:17,760
Speaker 1: you can, reducing the cost of inputs and sending as

1201
01:04:17,840 --> 01:04:20,640
Speaker 1: much as you can to China. You keep management here.

1202
01:04:20,760 --> 01:04:23,440
Speaker 1: They reap the profits, the shareholders get rich. The global

1203
01:04:23,440 --> 01:04:25,800
Speaker 1: financial system does not work for you. It doesn't even

1204
01:04:25,800 --> 01:04:28,560
Speaker 1: work for ordinary Chinese people. It is for a global

1205
01:04:28,600 --> 01:04:31,360
Speaker 1: economic cartel at the top. You don't have to take

1206
01:04:31,400 --> 01:04:34,360
Speaker 1: my word for it. Take Klaus Schab, the executive chairman

1207
01:04:34,440 --> 01:04:37,840
Speaker 1: of the World Economic Forum, the Billionaires Forum. Look at

1208
01:04:37,880 --> 01:04:41,240
Speaker 1: the way he speaks so lovingly about President she before

1209
01:04:41,280 --> 01:04:47,240
Speaker 1: introducing his speech at the Davos. China has made significant

1210
01:04:47,760 --> 01:04:52,160
Speaker 1: economic and social achievements under your leadership. It's the first

1211
01:04:52,200 --> 01:04:57,960
Speaker 1: three quarters of twenty twenty one China's economy gubby oh

1212
01:04:58,120 --> 01:05:04,200
Speaker 1: one nine percent. You have achieved a historic goal to

1213
01:05:04,320 --> 01:05:11,680
Speaker 1: become a moderately prosperous society in all respects, Mister President,

1214
01:05:12,840 --> 01:05:18,760
Speaker 1: I strongly echo your remarks in twenty seventeen that mankind

1215
01:05:19,280 --> 01:05:25,960
Speaker 1: has made progress by zoo mounting difficulties, and when encountering difficulties,

1216
01:05:26,560 --> 01:05:31,360
Speaker 1: we should join hands and rise to the challenge. I

1217
01:05:31,440 --> 01:05:36,520
Speaker 1: believe this is the best time for leaders to come

1218
01:05:36,560 --> 01:05:41,960
Speaker 1: together and work jointly for the world to become more inclusive.

1219
01:05:42,560 --> 01:05:47,240
Speaker 1: More sustainable and more prosper So to sum up, the

1220
01:05:47,320 --> 01:05:51,080
Speaker 1: billionaires are the problem. Until we freak ourselves, free ourselves

1221
01:05:51,080 --> 01:05:55,360
Speaker 1: of their yoke, we will never really be free economically, geopolitically,

1222
01:05:55,600 --> 01:05:58,240
Speaker 1: or culturally. So let's get to work. I mean, how

1223
01:05:58,400 --> 01:06:01,439
Speaker 1: revealing is that quote from moth their Crystal. I don't

1224
01:06:01,520 --> 01:06:05,520
Speaker 1: care and if you want to hear my reaction to

1225
01:06:05,560 --> 01:06:13,160
Speaker 1: Cyber's monologue, become a premium subscriber today at breakingpoints dot com. Crystal,

1226
01:06:13,200 --> 01:06:15,080
Speaker 1: what do you take a look at? Well, guys, a

1227
01:06:15,200 --> 01:06:18,320
Speaker 1: movement is quietly sweeping the country and it is corporate

1228
01:06:18,360 --> 01:06:22,480
Speaker 1: America's greatest fear. Starbucks workers at store after store are

1229
01:06:22,640 --> 01:06:26,640
Speaker 1: organizing and some are even unionizing. It looks like exactly

1230
01:06:26,640 --> 01:06:28,960
Speaker 1: what Starbucks founder Howard Schultz and the rest of the

1231
01:06:29,000 --> 01:06:33,160
Speaker 1: execs feared when Buffalo stores started collecting union cards. As

1232
01:06:33,160 --> 01:06:37,320
Speaker 1: we closely followed here, Starbucks Corporate through everything they possibly

1233
01:06:37,360 --> 01:06:40,440
Speaker 1: could at stopping those stores from unionizing. They flew in execs,

1234
01:06:40,480 --> 01:06:43,240
Speaker 1: they closed doors, they engaged in some weird, creepy surveillance.

1235
01:06:43,280 --> 01:06:45,080
Speaker 1: They hired a bunch of new workers to try to

1236
01:06:45,120 --> 01:06:47,920
Speaker 1: dilute the pool, and they brought in Howard Schultz himself

1237
01:06:48,000 --> 01:06:52,200
Speaker 1: to tell some story about Nazis that apparently made everybody uncomfortable. Now,

1238
01:06:52,240 --> 01:06:55,080
Speaker 1: the reason they were so freaked out is because they

1239
01:06:55,120 --> 01:06:58,560
Speaker 1: feared that if unions gained even the tiniest told in

1240
01:06:58,600 --> 01:07:01,440
Speaker 1: their American stores, it could set off a type of

1241
01:07:01,520 --> 01:07:06,200
Speaker 1: domino effect. Well, these executives worst nightmare has now become reality.

1242
01:07:06,360 --> 01:07:08,880
Speaker 1: Here's the backstory. So, against all odds, two stores in

1243
01:07:08,880 --> 01:07:12,240
Speaker 1: Buffalo did vote to unionize. The success of those efforts

1244
01:07:12,360 --> 01:07:15,200
Speaker 1: basically required a perfect storm. New York is the most

1245
01:07:15,240 --> 01:07:18,160
Speaker 1: heavily unionized state in the country. Buffalo has a union

1246
01:07:18,200 --> 01:07:20,960
Speaker 1: tradition that also gives workers some history and some muscle

1247
01:07:21,000 --> 01:07:25,200
Speaker 1: memory and some experience with the concept of solidarity. The inspiring,

1248
01:07:25,240 --> 01:07:28,960
Speaker 1: though ultimately unsuccessful campaign of India Walton also injected some

1249
01:07:29,120 --> 01:07:32,720
Speaker 1: energy into the left in that city. That foundation met

1250
01:07:32,720 --> 01:07:35,959
Speaker 1: its moment with the increasing labor militancy that we've seen

1251
01:07:36,080 --> 01:07:39,200
Speaker 1: coming out of the COVID pandemic. Workers are taking power

1252
01:07:39,400 --> 01:07:41,960
Speaker 1: in every way that they can, whether it's through strikes,

1253
01:07:42,120 --> 01:07:46,440
Speaker 1: the great resignation, slow downs, and also union drives. Well, today, friends,

1254
01:07:46,480 --> 01:07:48,840
Speaker 1: I can report that it appears the sparks from Buffalo

1255
01:07:48,960 --> 01:07:52,320
Speaker 1: have indeed lit a nationwide. Flame workers that no fewer

1256
01:07:52,360 --> 01:07:55,680
Speaker 1: than fifteen other Starbucks stores from coast to coast have

1257
01:07:55,800 --> 01:07:59,080
Speaker 1: filed for their own union elections. War stores in Buffalo,

1258
01:07:59,160 --> 01:08:01,880
Speaker 1: along with one in these Arizona, will actually start voting

1259
01:08:01,880 --> 01:08:04,400
Speaker 1: this month. Now, Instead of focusing all their efforts on

1260
01:08:04,480 --> 01:08:07,280
Speaker 1: just a handful of stores in one town, Starbucks bosses

1261
01:08:07,320 --> 01:08:09,560
Speaker 1: are left playing an impossible game of whack a mole

1262
01:08:09,680 --> 01:08:12,040
Speaker 1: trying to stomp out efforts to unionize that are cropping

1263
01:08:12,120 --> 01:08:15,760
Speaker 1: up everywhere from Boston to Seattle to Nashville. Workers slash

1264
01:08:15,840 --> 01:08:19,160
Speaker 1: organizers that many of these stores are explicit that Buffalo

1265
01:08:19,320 --> 01:08:22,280
Speaker 1: inspired them. One worker told The New York Times, the

1266
01:08:22,320 --> 01:08:25,760
Speaker 1: Buffalo folks became superheros. A lot of us spent so

1267
01:08:25,880 --> 01:08:28,280
Speaker 1: much time being afraid of retaliation. None of us could

1268
01:08:28,320 --> 01:08:30,599
Speaker 1: afford to lose our jobs or have our hours cut.

1269
01:08:31,040 --> 01:08:33,200
Speaker 1: It makes some sense that Starbucks would be the first

1270
01:08:33,200 --> 01:08:36,559
Speaker 1: of Corporate America's service sector behemos to unionize. After all,

1271
01:08:36,560 --> 01:08:39,160
Speaker 1: workers at Starbucks are only asked in the company to

1272
01:08:39,240 --> 01:08:41,759
Speaker 1: live up to the values that it claims to support.

1273
01:08:42,240 --> 01:08:45,320
Speaker 1: You can't say that you're a progressive company and engage

1274
01:08:45,320 --> 01:08:48,479
Speaker 1: in cringeypr stunts like their failed attempt at some national

1275
01:08:48,520 --> 01:08:51,799
Speaker 1: conversation on race, and then be shocked when you're workers

1276
01:08:51,880 --> 01:08:53,840
Speaker 1: who were attracted in part to work for you because

1277
01:08:53,880 --> 01:08:56,960
Speaker 1: they actually believed in your state of values want those

1278
01:08:57,000 --> 01:09:01,720
Speaker 1: progressive values extended from pr bullshit to actual policy. So

1279
01:09:01,760 --> 01:09:03,640
Speaker 1: what does all of this mean, not just for Starbucks

1280
01:09:03,640 --> 01:09:06,960
Speaker 1: workers but the national labor movement. Well, it's actually quite extraordinary,

1281
01:09:07,240 --> 01:09:10,080
Speaker 1: as one labor expert told The New York Times, in

1282
01:09:10,200 --> 01:09:13,400
Speaker 1: terms of creating a moment for unions, if you organized

1283
01:09:13,439 --> 01:09:16,400
Speaker 1: a hundred stores, it would be the biggest thing that

1284
01:09:16,520 --> 01:09:20,000
Speaker 1: happened in fifty years. Even if the direct economic impact

1285
01:09:20,040 --> 01:09:22,960
Speaker 1: on Starbucks is minor, he added, the media attention and

1286
01:09:23,000 --> 01:09:26,920
Speaker 1: political pressure on the company could be enormous. It is

1287
01:09:26,960 --> 01:09:30,400
Speaker 1: not just that company. Though, America right now, in real time,

1288
01:09:30,560 --> 01:09:34,200
Speaker 1: is relearning labor history and union values. Unions and workers

1289
01:09:34,280 --> 01:09:37,479
Speaker 1: are shifting back to an offensive position after playing defense

1290
01:09:37,600 --> 01:09:40,639
Speaker 1: for literally decades. The gains that are made in these

1291
01:09:40,640 --> 01:09:43,600
Speaker 1: fights they serve as a warning for other companies that

1292
01:09:43,680 --> 01:09:46,519
Speaker 1: if they don't treat their own workers with humanity, they

1293
01:09:46,520 --> 01:09:49,559
Speaker 1: can face their own successful union effort. If it can

1294
01:09:49,600 --> 01:09:52,519
Speaker 1: happen at Starbucks, it can happen anywhere. But that's not

1295
01:09:52,600 --> 01:09:56,000
Speaker 1: all zooming out to the big picture. We desperately need

1296
01:09:56,120 --> 01:09:59,280
Speaker 1: a massive cultural shift in how we think about real

1297
01:09:59,320 --> 01:10:02,680
Speaker 1: freedom and real power. A resurgent labor movement is the

1298
01:10:02,840 --> 01:10:06,080
Speaker 1: perfect vehicle for doing exactly that. We have got to

1299
01:10:06,120 --> 01:10:10,320
Speaker 1: shake off the Reagan era's exclusive obsession with individualism and

1300
01:10:10,360 --> 01:10:14,839
Speaker 1: personal responsibility and reclaim an identity as some sort of collective.

1301
01:10:15,320 --> 01:10:18,600
Speaker 1: We need a balance between the me and the US.

1302
01:10:18,600 --> 01:10:21,840
Speaker 1: Individual rights and identities, yes, but combined with some sort

1303
01:10:21,880 --> 01:10:25,639
Speaker 1: of collective aspirations and values. That ethos is what the

1304
01:10:25,800 --> 01:10:29,040
Speaker 1: entire labor movement is ultimately built on. You see, we've

1305
01:10:29,040 --> 01:10:32,880
Speaker 1: had forty years of leaning exclusively into the individual without

1306
01:10:32,920 --> 01:10:35,320
Speaker 1: any concern for the collective. And that's been great for

1307
01:10:35,400 --> 01:10:38,960
Speaker 1: those with power and money. After all, individual atomized workers,

1308
01:10:39,040 --> 01:10:42,400
Speaker 1: all searching for their bootstraps, pose zero threat to them whatsoever.

1309
01:10:42,800 --> 01:10:45,800
Speaker 1: And it's easy to defund every government program devoted to

1310
01:10:45,840 --> 01:10:48,400
Speaker 1: the public good if there is no public good, only

1311
01:10:48,479 --> 01:10:52,880
Speaker 1: private interests. But we shouldn't be surprised whatsoever when the ignored, defunded,

1312
01:10:52,880 --> 01:10:56,200
Speaker 1: and derided collective ultimately falls apart. The effects of a

1313
01:10:56,240 --> 01:10:58,519
Speaker 1: collapse of the collective are everywhere right now. You can

1314
01:10:58,560 --> 01:11:01,439
Speaker 1: see them in an overclass that feels entitled, righteous, even

1315
01:11:01,479 --> 01:11:04,120
Speaker 1: when they put their own personal financial interest and ambitions

1316
01:11:04,360 --> 01:11:07,799
Speaker 1: over literally every other thing. You can see those effects

1317
01:11:07,800 --> 01:11:10,120
Speaker 1: in the massive decline in unionization that has led to

1318
01:11:10,120 --> 01:11:13,479
Speaker 1: plummeting wages and dehumanizing work conditions. You can see it

1319
01:11:13,520 --> 01:11:15,960
Speaker 1: in the degrading of public infrastructure such that we can't

1320
01:11:16,000 --> 01:11:20,760
Speaker 1: even do the basics of distributing rapid tests and persuading

1321
01:11:20,760 --> 01:11:23,639
Speaker 1: the public that highly effecti vaccinations are in their best interest.

1322
01:11:24,040 --> 01:11:25,960
Speaker 1: You can see the effects in the kind of celebrity

1323
01:11:26,000 --> 01:11:29,240
Speaker 1: politics that would cast voters in the role of enabling politicians'

1324
01:11:29,240 --> 01:11:33,360
Speaker 1: personal aspirations rather than actually demanding those politicians act on

1325
01:11:33,439 --> 01:11:36,120
Speaker 1: behalf of the collective. You can see the effects and

1326
01:11:36,160 --> 01:11:39,040
Speaker 1: the ultimate collective action problem that's dealing with the climate

1327
01:11:39,080 --> 01:11:41,840
Speaker 1: crisis on a society wide level, rather than on the

1328
01:11:41,880 --> 01:11:46,000
Speaker 1: level of liberals making choices they can ostentatiously display as virtuous.

1329
01:11:46,240 --> 01:11:49,280
Speaker 1: Buying sustainable sushi and driving a tesla alone are not

1330
01:11:49,400 --> 01:11:52,559
Speaker 1: in fact going to save the planet. All of these ills,

1331
01:11:52,600 --> 01:11:55,000
Speaker 1: and a whole lot more, stem from a society that

1332
01:11:55,080 --> 01:11:58,440
Speaker 1: has been intentionally pushed towards a sort of radical individualism.

1333
01:11:58,640 --> 01:12:02,000
Speaker 1: A radical individualist that makes it way too easy for

1334
01:12:02,080 --> 01:12:06,320
Speaker 1: cynical politicians to successfully deploy a divide and conquer strategy.

1335
01:12:06,840 --> 01:12:09,920
Speaker 1: The Starbucks Domino effect is gaining steam as workers take

1336
01:12:09,960 --> 01:12:13,120
Speaker 1: it on themselves to try to rebalance the scales, to

1337
01:12:13,200 --> 01:12:16,960
Speaker 1: relearn the courage that solidarity requires and the power that

1338
01:12:17,040 --> 01:12:20,000
Speaker 1: it can ultimately confer. It's actually the greatest legacy of

1339
01:12:20,040 --> 01:12:23,000
Speaker 1: the Burning campaign, the reintroduction of that basic principle, and

1340
01:12:23,080 --> 01:12:25,639
Speaker 1: his influence, by the way, is all over this new effort.

1341
01:12:25,960 --> 01:12:28,400
Speaker 1: One of the lead organizers in a new Starbucks union

1342
01:12:28,439 --> 01:12:32,479
Speaker 1: effort described her inspiration as such, Bernie Sanders is my everything.

1343
01:12:32,600 --> 01:12:35,400
Speaker 1: I love him more than anything. Another said they had

1344
01:12:35,400 --> 01:12:38,879
Speaker 1: gained political organizing skills as part of the Burning Campaign.

1345
01:12:39,200 --> 01:12:41,960
Speaker 1: Starbucks has more than its fair share Bernie Bros. Piping

1346
01:12:42,000 --> 01:12:45,599
Speaker 1: his political message of solidarity straight into their workplaces. An

1347
01:12:45,640 --> 01:12:48,840
Speaker 1: old seed has been replanted in a new generation, and

1348
01:12:48,880 --> 01:12:51,920
Speaker 1: its fruit is just beginning to ripen now. Sager and

1349
01:12:51,960 --> 01:12:54,640
Speaker 1: I believe twenty twenty could, twenty twenty two could be

1350
01:12:54,720 --> 01:12:57,160
Speaker 1: the year of the worker. Let's hope that it sparks

1351
01:12:57,200 --> 01:13:00,160
Speaker 1: a new era with values that extend beyond the or

1352
01:13:00,160 --> 01:13:02,760
Speaker 1: for bottom line and you can see now why they

1353
01:13:02,800 --> 01:13:05,360
Speaker 1: spent so much money and effort trying to stop you.

1354
01:13:06,200 --> 01:13:09,040
Speaker 1: And if you want to hear my reaction to Crystal's monologue,

1355
01:13:09,080 --> 01:13:15,920
Speaker 1: Become a premium subscriber today at Breakingpoints dot com. Joining

1356
01:13:15,960 --> 01:13:19,320
Speaker 1: us now, doctor Viney Prosad. He's a host of he's

1357
01:13:19,320 --> 01:13:21,640
Speaker 1: got his own podcast, he's got his own substack, he's

1358
01:13:21,680 --> 01:13:25,160
Speaker 1: an associate professor md MPH. He's got all the credentials,

1359
01:13:25,280 --> 01:13:27,120
Speaker 1: doctor Prosad. Thank you so much for joining us. We

1360
01:13:27,160 --> 01:13:30,960
Speaker 1: really appreciate it. A longtime listener, first time caller. Thanksving.

1361
01:13:31,760 --> 01:13:33,920
Speaker 1: I love it. I love it. So you know it's

1362
01:13:33,920 --> 01:13:35,960
Speaker 1: perfect because you actually just came out with a piece

1363
01:13:36,080 --> 01:13:38,519
Speaker 1: last night so recent we didn't even have the ability

1364
01:13:38,560 --> 01:13:40,360
Speaker 1: to make an element for it. But it's in unheard.

1365
01:13:40,360 --> 01:13:42,559
Speaker 1: We'll put the link in the description. We need to

1366
01:13:42,640 --> 01:13:45,439
Speaker 1: talk about the vaccines. You did a three thousand word

1367
01:13:45,520 --> 01:13:49,759
Speaker 1: piece fact checking doctor Peter McCullough and doctor Robert Malone

1368
01:13:49,800 --> 01:13:52,400
Speaker 1: on Joe Rogan's podcast. First of all, can you just

1369
01:13:52,560 --> 01:13:56,640
Speaker 1: establish your credentials for the audience. Why are you qualified

1370
01:13:56,640 --> 01:13:59,120
Speaker 1: to talk about this as a scientist, as a medical

1371
01:13:59,160 --> 01:14:03,439
Speaker 1: doctor and all of that. Okay, great, So you know

1372
01:14:03,439 --> 01:14:06,600
Speaker 1: I'm an associate professor here in epidemiology and biostatistics at

1373
01:14:06,600 --> 01:14:09,320
Speaker 1: the University of California, San Francisco. I'm also a humanotolgist

1374
01:14:09,360 --> 01:14:11,240
Speaker 1: on coologist. I'm a practicing doctor. I think this is

1375
01:14:11,280 --> 01:14:14,160
Speaker 1: my seventh year attending and so I you know, I

1376
01:14:14,160 --> 01:14:16,080
Speaker 1: still run clinics, I tend on service, and I do

1377
01:14:16,200 --> 01:14:19,640
Speaker 1: research on evidence. Literally, what my laboratory studies is the

1378
01:14:19,680 --> 01:14:22,040
Speaker 1: quality of evidence and how to appraise evidence, and so

1379
01:14:22,240 --> 01:14:24,360
Speaker 1: you know, I took those skills and I turned into

1380
01:14:24,840 --> 01:14:27,120
Speaker 1: these two three hour podcasts, and that's what you get

1381
01:14:27,120 --> 01:14:29,760
Speaker 1: in this essay, sort of what they got right and

1382
01:14:29,800 --> 01:14:31,400
Speaker 1: what they got wrong. I think it's important to talk

1383
01:14:31,400 --> 01:14:36,000
Speaker 1: about both. Yeah, So can we start with myocarditis because

1384
01:14:36,000 --> 01:14:38,599
Speaker 1: this seems to be the thing that gets discussed the most.

1385
01:14:39,400 --> 01:14:42,680
Speaker 1: Full disclosure, I had never heard of myocarditis before we

1386
01:14:42,760 --> 01:14:47,080
Speaker 1: started talking about vaccines. First, tell us just what is it,

1387
01:14:47,400 --> 01:14:52,120
Speaker 1: what happens typically when someone has it, and what do

1388
01:14:52,200 --> 01:14:55,840
Speaker 1: we know based on the evidence the relative risks of

1389
01:14:56,600 --> 01:15:01,240
Speaker 1: having myocarditis because of the vaccine versus because of being

1390
01:15:01,240 --> 01:15:05,240
Speaker 1: infected with COVID. That's a great question. So I guess

1391
01:15:05,240 --> 01:15:07,879
Speaker 1: first people should know what is myocarditis. It's literally itis

1392
01:15:07,880 --> 01:15:10,479
Speaker 1: of the myocardium. It's an inflammation of the heart muscle,

1393
01:15:10,800 --> 01:15:12,840
Speaker 1: and as you would imagine, that's not a great place

1394
01:15:12,880 --> 01:15:15,960
Speaker 1: to get inflammation. Before the vaccines, we've been dealing with

1395
01:15:15,960 --> 01:15:20,080
Speaker 1: myocarditis for many, many hundreds of years. They're caused by

1396
01:15:20,120 --> 01:15:22,519
Speaker 1: all sorts of things, including it can occur after a

1397
01:15:22,600 --> 01:15:24,720
Speaker 1: viral illness. It can occur a few weeks after a

1398
01:15:24,760 --> 01:15:27,800
Speaker 1: viral illness, and that is a well known phenomenon. When

1399
01:15:27,840 --> 01:15:30,839
Speaker 1: we first started giving this vaccine, no one was aware

1400
01:15:31,000 --> 01:15:34,439
Speaker 1: that there was the potential for vaccine induced myocarditis. It

1401
01:15:34,520 --> 01:15:38,560
Speaker 1: wasn't into Israelis put out some information in April of

1402
01:15:38,600 --> 01:15:41,840
Speaker 1: twenty twenty one that suggested that there's possibly a link,

1403
01:15:41,880 --> 01:15:44,400
Speaker 1: and they identify the link in young men between the

1404
01:15:44,439 --> 01:15:47,080
Speaker 1: ages of the sixteen and nineteen. In the original Jerusalem

1405
01:15:47,160 --> 01:15:50,519
Speaker 1: Post news story, what is myocarditis? I guess it's an

1406
01:15:50,560 --> 01:15:54,040
Speaker 1: inflammation of the heart muscle. The rates after vaccine are

1407
01:15:54,760 --> 01:15:59,160
Speaker 1: I think modestly elevated, particularly in young men, particularly between

1408
01:15:59,160 --> 01:16:02,560
Speaker 1: the ages of twelve and let's say thirty. That's the

1409
01:16:02,640 --> 01:16:04,400
Speaker 1: highest risk group. And as you get to the core

1410
01:16:04,439 --> 01:16:07,320
Speaker 1: of that group sixteen to twenty two. It's the highest

1411
01:16:07,400 --> 01:16:10,000
Speaker 1: risk of myocarditis over baseline, over what you might expect

1412
01:16:10,040 --> 01:16:14,080
Speaker 1: without a vaccine. It is almost certainly due to the vaccine.

1413
01:16:14,400 --> 01:16:16,920
Speaker 1: It is higher with dose two than dose one. It's

1414
01:16:17,000 --> 01:16:20,439
Speaker 1: higher with the Maderia brand than Weiser brand, perhaps in

1415
01:16:20,439 --> 01:16:23,400
Speaker 1: part because MODERNA uses a higher dose. And your question

1416
01:16:23,520 --> 01:16:26,160
Speaker 1: is good, which is you know as you think about

1417
01:16:26,200 --> 01:16:28,559
Speaker 1: how to vaccinate. The question isn't you know should you

1418
01:16:28,560 --> 01:16:31,479
Speaker 1: get vaccinated? The question is, once we've decided to get

1419
01:16:31,600 --> 01:16:33,519
Speaker 1: to vaccinate people, how can we do it the most

1420
01:16:33,640 --> 01:16:36,160
Speaker 1: safe way possible. How can we give people most of

1421
01:16:36,200 --> 01:16:39,200
Speaker 1: the benefit with the least amount of side effects? And

1422
01:16:39,280 --> 01:16:43,519
Speaker 1: sometimes what that means is you delay the second dose.

1423
01:16:43,640 --> 01:16:46,080
Speaker 1: Sometimes what it means is you think differently about boosters

1424
01:16:46,080 --> 01:16:48,040
Speaker 1: and an eighty five year old woman than a twenty

1425
01:16:48,080 --> 01:16:50,759
Speaker 1: year old man. And so I think this mirocard discussion

1426
01:16:50,800 --> 01:16:54,200
Speaker 1: is really important because it's not about vaccinating or not vaccinating.

1427
01:16:54,200 --> 01:16:57,280
Speaker 1: I think that's a mischaracterization. It's really about vaccinating safely,

1428
01:16:57,439 --> 01:16:59,280
Speaker 1: which is what we all want to do. Give people

1429
01:16:59,320 --> 01:17:03,120
Speaker 1: immunity in these safest way possible. I issued I think

1430
01:17:03,120 --> 01:17:06,639
Speaker 1: you laid down the evidence very well. Is that often

1431
01:17:06,720 --> 01:17:10,920
Speaker 1: people who you know they proclaimed to be we're just neutral,

1432
01:17:10,960 --> 01:17:13,759
Speaker 1: we're looking at the costs and benefits. Here they focus

1433
01:17:13,920 --> 01:17:18,320
Speaker 1: on the risks and the costs of the vaccine almost

1434
01:17:18,360 --> 01:17:22,200
Speaker 1: exclusively without also talking about the benefits. So one of

1435
01:17:22,200 --> 01:17:25,879
Speaker 1: the claims that you seek to to sort of debunk

1436
01:17:26,280 --> 01:17:27,920
Speaker 1: in the post that you have up here is that

1437
01:17:28,000 --> 01:17:31,479
Speaker 1: vaccines also have lots of other dangerous side effects. So

1438
01:17:31,520 --> 01:17:34,400
Speaker 1: when you consider, you know, this still very rare condition

1439
01:17:34,439 --> 01:17:37,760
Speaker 1: of myocarditis that can be vaccine induced, and you layer

1440
01:17:37,840 --> 01:17:40,960
Speaker 1: on all these other scary vaccine side effects, well then

1441
01:17:40,960 --> 01:17:43,439
Speaker 1: people start to question, well, is the vaccine and benefit

1442
01:17:43,560 --> 01:17:46,280
Speaker 1: net to me at all? So how do you weigh

1443
01:17:46,320 --> 01:17:50,120
Speaker 1: those different things? Doctor? Yeah, no, that's a great question.

1444
01:17:50,160 --> 01:17:52,599
Speaker 1: So I guess what I gave them credit for is

1445
01:17:52,760 --> 01:17:54,960
Speaker 1: I think we need to have a discussion about vaccine

1446
01:17:54,960 --> 01:17:58,120
Speaker 1: induced myocridtis. And it's such a big deal that Paul offit.

1447
01:17:58,280 --> 01:18:01,040
Speaker 1: This is the man who's the director ofccine communication at

1448
01:18:01,080 --> 01:18:04,080
Speaker 1: Chop Children's Hospital Philadelphia. He's quoted in The Atlantic is

1449
01:18:04,120 --> 01:18:06,080
Speaker 1: saying I told my own twenty year old son, I

1450
01:18:06,120 --> 01:18:08,880
Speaker 1: don't recommend a booster and that's likely because he's concerned

1451
01:18:08,880 --> 01:18:11,920
Speaker 1: about myocarditis. So I think that's a very important safety signal.

1452
01:18:12,080 --> 01:18:14,800
Speaker 1: It happens in a very small subpopulation men between the

1453
01:18:14,800 --> 01:18:18,439
Speaker 1: ages of twelve and thirty typically, But it's worth thinking

1454
01:18:18,439 --> 01:18:20,960
Speaker 1: about how policy should be different there, just like it's

1455
01:18:21,000 --> 01:18:23,639
Speaker 1: worth thinking about different policies for natural immunity and JAY

1456
01:18:23,680 --> 01:18:26,280
Speaker 1: and J for women. I think has different issues. Your

1457
01:18:26,360 --> 01:18:29,519
Speaker 1: question is what about all these other things we hear about?

1458
01:18:29,560 --> 01:18:32,200
Speaker 1: And on these podcasts they alluded to things like, maybe

1459
01:18:32,200 --> 01:18:34,760
Speaker 1: your immune system becomes so exhausted you're at risk of

1460
01:18:34,800 --> 01:18:37,080
Speaker 1: cancer down the road. Maybe there's an increased rate of

1461
01:18:37,080 --> 01:18:39,640
Speaker 1: death from getting vaccinated, Maybe there's and then there's a

1462
01:18:39,640 --> 01:18:41,439
Speaker 1: whole host of other things they talk about, such as

1463
01:18:41,560 --> 01:18:45,880
Speaker 1: possible development or abnormalities, changes in fertility, et cetera. I

1464
01:18:46,000 --> 01:18:48,960
Speaker 1: view all of those claims as extremely speculatory, and I

1465
01:18:48,960 --> 01:18:50,920
Speaker 1: don't think that they should even be introduced into the

1466
01:18:50,920 --> 01:18:53,920
Speaker 1: public narrative. You know, it takes a lot to vet

1467
01:18:54,040 --> 01:18:57,280
Speaker 1: a potential adverse event. You need to do vetting, and

1468
01:18:57,360 --> 01:19:01,519
Speaker 1: vetting requires careful epiological studies. Iocarditis has cleared that bar,

1469
01:19:01,840 --> 01:19:03,880
Speaker 1: and there's a particular type of blood cloth that happens

1470
01:19:03,880 --> 01:19:05,960
Speaker 1: after J and J that has also cleared that bar.

1471
01:19:06,200 --> 01:19:08,240
Speaker 1: But all of these other things have not yet cleared

1472
01:19:08,240 --> 01:19:11,280
Speaker 1: that bar, and one can imagine after you get vaccinated,

1473
01:19:11,439 --> 01:19:13,519
Speaker 1: all sorts of things have happened to people, from car

1474
01:19:13,560 --> 01:19:16,599
Speaker 1: accidents to heart attacks to strokes. The question is what's

1475
01:19:16,680 --> 01:19:19,920
Speaker 1: due to the vaccine and what's merely coincidental, And to

1476
01:19:19,960 --> 01:19:22,839
Speaker 1: separate those two you have to do really careful studies.

1477
01:19:23,000 --> 01:19:25,040
Speaker 1: And for many of the claims that they talked about,

1478
01:19:25,280 --> 01:19:28,000
Speaker 1: I worry it creates sort of a fear mongering atmosphere

1479
01:19:28,000 --> 01:19:31,320
Speaker 1: around vaccination that will help people who have already decided

1480
01:19:31,320 --> 01:19:33,599
Speaker 1: they don't want to do it, but it doesn't really

1481
01:19:33,640 --> 01:19:37,080
Speaker 1: provide additional scientific certainty, and it is kind of I

1482
01:19:37,080 --> 01:19:39,920
Speaker 1: think misleading to even suggest that when you haven't really

1483
01:19:40,000 --> 01:19:43,479
Speaker 1: vetted those average events. Something that gets a particular amount

1484
01:19:43,479 --> 01:19:46,760
Speaker 1: of focus for both McCullough and Robert Malone is the

1485
01:19:46,880 --> 01:19:51,320
Speaker 1: Vaccine Adverse Event Reporting System, also known as VARs. So

1486
01:19:51,520 --> 01:19:55,720
Speaker 1: break down for the audience, what is THEIRS, is it reliable?

1487
01:19:56,000 --> 01:19:59,120
Speaker 1: Is it undercounting? And how should we think about the

1488
01:19:59,120 --> 01:20:03,000
Speaker 1: figure that from that of supposedly forty five thousand debts

1489
01:20:03,120 --> 01:20:07,759
Speaker 1: attributable to the vaccine. Yeah, and that's what the MCCULLOAGU

1490
01:20:07,840 --> 01:20:09,639
Speaker 1: figure is. So here's what I say about VERS. VERS

1491
01:20:09,720 --> 01:20:12,479
Speaker 1: is the adverse event reporting system. It's what we call

1492
01:20:12,520 --> 01:20:15,320
Speaker 1: a passive collection reporting system. In other words, if a

1493
01:20:15,400 --> 01:20:18,080
Speaker 1: doctor is taking care of a patient and something happened

1494
01:20:18,080 --> 01:20:20,400
Speaker 1: to them, and the doctor has a light bulb go off, say,

1495
01:20:20,560 --> 01:20:22,080
Speaker 1: you know, I wonder if this was due to the

1496
01:20:22,080 --> 01:20:25,120
Speaker 1: fact they got a MODERNA three days ago dose two MODERNA.

1497
01:20:25,479 --> 01:20:27,880
Speaker 1: And if that happens, the doctor may and you know,

1498
01:20:27,920 --> 01:20:29,960
Speaker 1: in console with the patient with the team, may decide

1499
01:20:30,000 --> 01:20:32,639
Speaker 1: to report that to the virus system. So there are

1500
01:20:32,640 --> 01:20:35,920
Speaker 1: two potential biases with VERS. One is that there are

1501
01:20:36,000 --> 01:20:39,160
Speaker 1: real instances of events that are unreported to VERIRS because

1502
01:20:39,200 --> 01:20:41,799
Speaker 1: nobody had that light bulb go off or nobody followed

1503
01:20:41,800 --> 01:20:43,799
Speaker 1: through on the reporting. So I think it is possible

1504
01:20:43,800 --> 01:20:46,320
Speaker 1: for some things we have some underreports, and there are

1505
01:20:46,439 --> 01:20:50,639
Speaker 1: some small differences between CDC numbers on myocarditis and numbers

1506
01:20:50,640 --> 01:20:53,640
Speaker 1: that come from Israel and Norway and Hong Kong and

1507
01:20:53,760 --> 01:20:56,559
Speaker 1: optim Healthcare private insurer, and maybe some of that is

1508
01:20:56,600 --> 01:21:00,000
Speaker 1: explicable by sort of an underreporting. But at the same time,

1509
01:21:00,000 --> 01:21:02,640
Speaker 1: there's also the potential to over report things because you

1510
01:21:02,680 --> 01:21:05,760
Speaker 1: can imagine that after somebody got vaccinated a whole host

1511
01:21:05,800 --> 01:21:07,800
Speaker 1: of things might happen to them. Somebody might have a

1512
01:21:07,840 --> 01:21:10,360
Speaker 1: stroke or you know, or have a heart attack, and

1513
01:21:10,400 --> 01:21:12,040
Speaker 1: the doctor there may say, I don't know if it's

1514
01:21:12,040 --> 01:21:14,400
Speaker 1: linked or not. Maybe I'll report it anyway. And so

1515
01:21:14,479 --> 01:21:17,920
Speaker 1: when you start talking about deaths after vaccine, I'm sure

1516
01:21:17,960 --> 01:21:20,880
Speaker 1: that some people after vaccine did die, but that doesn't

1517
01:21:20,880 --> 01:21:23,320
Speaker 1: mean the vaccine caused their death. Because if you vaccinated

1518
01:21:23,360 --> 01:21:24,960
Speaker 1: an eighty five year old, there's some eighty five year

1519
01:21:24,960 --> 01:21:26,360
Speaker 1: olds we're going to die in the next week. You

1520
01:21:26,439 --> 01:21:28,840
Speaker 1: didn't know who they were. How will you separate those

1521
01:21:28,840 --> 01:21:31,000
Speaker 1: two And that's where the next step comes in. You

1522
01:21:31,080 --> 01:21:32,599
Speaker 1: have to collect all the data. You have to compare

1523
01:21:32,640 --> 01:21:35,360
Speaker 1: to what we call base rates, how many events you'd expect,

1524
01:21:35,479 --> 01:21:37,920
Speaker 1: you know, in the absence of vaccination. And it's a

1525
01:21:37,920 --> 01:21:40,880
Speaker 1: tricky science. And so I was not a fan that

1526
01:21:40,920 --> 01:21:44,120
Speaker 1: they said those things because I worry two things. One

1527
01:21:44,320 --> 01:21:46,559
Speaker 1: I worry it's fear mongering, and two I also think

1528
01:21:46,600 --> 01:21:49,160
Speaker 1: it distracts from the safety signal you've already found that

1529
01:21:49,160 --> 01:21:52,120
Speaker 1: we could act upon myocarditis. And you know, some of

1530
01:21:52,120 --> 01:21:54,519
Speaker 1: the things that I and some colleagues have proposed is,

1531
01:21:54,760 --> 01:21:57,360
Speaker 1: you know, if you space does two out in young

1532
01:21:57,400 --> 01:21:59,160
Speaker 1: men if you put it at a further delay. There's

1533
01:21:59,200 --> 01:22:03,200
Speaker 1: Ontario Province of Ontario data suggesting lower rates of myocarditis.

1534
01:22:03,439 --> 01:22:05,400
Speaker 1: If you in the United States were to ban MODERNA

1535
01:22:05,439 --> 01:22:08,040
Speaker 1: in men under forty, as other European nations have done,

1536
01:22:08,160 --> 01:22:11,320
Speaker 1: you would dramatically lower myocarditis. And boosters really need to

1537
01:22:11,320 --> 01:22:13,600
Speaker 1: think differently in young people than old people, and I

1538
01:22:13,600 --> 01:22:15,920
Speaker 1: think we have had a one size fits all policy

1539
01:22:15,920 --> 01:22:18,680
Speaker 1: on boosters that has led to the resignation. You know,

1540
01:22:18,840 --> 01:22:21,960
Speaker 1: the director and deputy director of the FDA have resigned

1541
01:22:22,000 --> 01:22:24,919
Speaker 1: over the issue of boosters, citing White House pressure on boosters.

1542
01:22:25,040 --> 01:22:27,639
Speaker 1: So that's a real discussion to be had, this question

1543
01:22:27,720 --> 01:22:30,640
Speaker 1: of you know, did the vaccine kill somebody. I'm not

1544
01:22:30,680 --> 01:22:33,760
Speaker 1: saying that they shouldn't investigate that they ought to investigate that,

1545
01:22:33,800 --> 01:22:36,200
Speaker 1: but you really need to bring gold standard evidence before

1546
01:22:36,200 --> 01:22:41,559
Speaker 1: you sort of raise such a claim. Is that this

1547
01:22:41,640 --> 01:22:44,759
Speaker 1: can give you basically directions of things that you should

1548
01:22:44,800 --> 01:22:47,840
Speaker 1: look into. That this isn't like the final statement. This

1549
01:22:47,960 --> 01:22:51,200
Speaker 1: is like, oh maybe there's something, let's actually research it

1550
01:22:51,240 --> 01:22:53,960
Speaker 1: and find out if this is just correlation or if

1551
01:22:54,000 --> 01:22:57,599
Speaker 1: there is actual causation. So just pulling from that sort

1552
01:22:57,640 --> 01:23:02,000
Speaker 1: of raw data to me seems wildly irresponsible. Let me

1553
01:23:02,040 --> 01:23:07,320
Speaker 1: have you go into another claim that McCullough and Malone

1554
01:23:07,640 --> 01:23:10,080
Speaker 1: were both making the claim here as you write it

1555
01:23:10,120 --> 01:23:15,680
Speaker 1: as effective early treatments including hydroxychloroquin and ivermectin are being suppressed.

1556
01:23:15,880 --> 01:23:20,760
Speaker 1: What do you find there? So you know, I guess

1557
01:23:20,920 --> 01:23:22,800
Speaker 1: One thing I want to say is they actually make

1558
01:23:22,840 --> 01:23:25,240
Speaker 1: an even stronger claim, which I think is that in

1559
01:23:25,280 --> 01:23:28,519
Speaker 1: March twenty twenty, in April twenty twenty and May twenty twenty,

1560
01:23:28,560 --> 01:23:30,320
Speaker 1: the early months of the pandemic, when New York was

1561
01:23:30,360 --> 01:23:33,479
Speaker 1: getting hit hard, they made the claim that doctors didn't

1562
01:23:33,520 --> 01:23:35,880
Speaker 1: want to try early treatment, they put all their eggs

1563
01:23:35,920 --> 01:23:39,240
Speaker 1: in the vaccine basket. I believe that claim is incorrect

1564
01:23:39,240 --> 01:23:41,320
Speaker 1: in a few ways. One, at that time, I think

1565
01:23:41,360 --> 01:23:43,320
Speaker 1: most of us did not believe the vaccine would have

1566
01:23:43,320 --> 01:23:46,519
Speaker 1: been developed by the November cutoff date. That was an

1567
01:23:46,560 --> 01:23:49,679
Speaker 1: astonishing feat and I didn't think and I myself didn't

1568
01:23:49,720 --> 01:23:52,080
Speaker 1: expect it. Fauci was quoted as saying eighteen months at

1569
01:23:52,120 --> 01:23:54,640
Speaker 1: a minimum, You know, that was not really on the horizon.

1570
01:23:55,080 --> 01:23:56,719
Speaker 1: The next thing I would say is I believe doctors

1571
01:23:56,760 --> 01:23:59,680
Speaker 1: had an incredible appetite for risk in those weeks. In

1572
01:23:59,760 --> 01:24:02,040
Speaker 1: the way week in March and April and May of

1573
01:24:02,080 --> 01:24:04,360
Speaker 1: twenty twenty, when a patient came in to the hospital

1574
01:24:04,360 --> 01:24:07,400
Speaker 1: with COVID nineteen or patient at COVID nineteen, the appetite

1575
01:24:07,479 --> 01:24:10,200
Speaker 1: to try a drug you didn't know for sure work,

1576
01:24:10,520 --> 01:24:13,519
Speaker 1: but just try it anyway was massive. There were reports

1577
01:24:13,520 --> 01:24:17,080
Speaker 1: of people giving hydroxy chloroquin. I believe iver remetin wasn't

1578
01:24:17,160 --> 01:24:19,280
Speaker 1: very popular then, but some of the HIV drugs, a

1579
01:24:19,280 --> 01:24:24,640
Speaker 1: little pinavir, retanavir, convalescent plasma tossilism, MAB, you know, so

1580
01:24:24,760 --> 01:24:28,000
Speaker 1: many different drugs were tossed in almost a kitchen sync approach,

1581
01:24:28,200 --> 01:24:30,320
Speaker 1: if anything. At the time, I was very critical that

1582
01:24:30,360 --> 01:24:32,600
Speaker 1: we shouldn't just throw things at patients. We won't know

1583
01:24:32,600 --> 01:24:35,400
Speaker 1: what heals or hurts. We need really controlled, randomized studies.

1584
01:24:35,600 --> 01:24:37,680
Speaker 1: So the first objection I have to there claims is

1585
01:24:37,720 --> 01:24:40,800
Speaker 1: that we didn't try to find therapeutics. I think we

1586
01:24:40,880 --> 01:24:43,760
Speaker 1: did try to find therapeutics. Maybe the part I'll give

1587
01:24:43,800 --> 01:24:45,680
Speaker 1: them a little bit credit for is we put a

1588
01:24:45,680 --> 01:24:48,479
Speaker 1: lot of stock in remdesivir, which is a branded Gilead

1589
01:24:48,560 --> 01:24:50,560
Speaker 1: product That was what the United States ran in the

1590
01:24:50,600 --> 01:24:53,439
Speaker 1: NAIAD study, whereas in Europe they focused a lot on older,

1591
01:24:53,520 --> 01:24:55,880
Speaker 1: cheaper medications such as dex andmethasone, which came out of

1592
01:24:55,880 --> 01:24:58,720
Speaker 1: the UK Recovery Group. So does the United States have

1593
01:24:59,520 --> 01:25:03,120
Speaker 1: sort of a preference for for profit products owned by

1594
01:25:03,200 --> 01:25:05,680
Speaker 1: drug sponsors. Maybe that is true, you know, I think

1595
01:25:05,720 --> 01:25:08,519
Speaker 1: that's that's a bias that may exist, But it doesn't

1596
01:25:08,560 --> 01:25:11,519
Speaker 1: mean these things weren't investigated. Hydroxychlorquin has been tested now

1597
01:25:11,560 --> 01:25:14,479
Speaker 1: in many, many randomized control trials. When you put them

1598
01:25:14,520 --> 01:25:17,519
Speaker 1: all together, you actually find, if anything, perhaps an increased

1599
01:25:17,600 --> 01:25:19,719
Speaker 1: risk of death. And so I guess I would say

1600
01:25:19,920 --> 01:25:21,479
Speaker 1: that I don't want to say it's you know, when

1601
01:25:21,520 --> 01:25:22,960
Speaker 1: you talk about the evidence, I think the evidence for

1602
01:25:23,000 --> 01:25:26,439
Speaker 1: hydroxic corquin in particular is very poor. Frivormectin I'm not

1603
01:25:26,520 --> 01:25:29,479
Speaker 1: yet convinced, but I think there are ongoing studies, and

1604
01:25:29,520 --> 01:25:31,800
Speaker 1: I keep slightly, you know, keep that door cracked open

1605
01:25:31,840 --> 01:25:33,320
Speaker 1: a little bit. I don't want to say I know

1606
01:25:33,360 --> 01:25:37,480
Speaker 1: for sure something doesn't work. In terms of the demonization,

1607
01:25:37,560 --> 01:25:39,800
Speaker 1: I will give them one point, which is that you know,

1608
01:25:39,840 --> 01:25:41,840
Speaker 1: as both of you talk about Joe Rogan did not

1609
01:25:41,880 --> 01:25:45,120
Speaker 1: take horse d wormer. These drugs have become anchored to

1610
01:25:45,160 --> 01:25:47,800
Speaker 1: a culture war. CNN is leaning into the culture war.

1611
01:25:47,840 --> 01:25:49,920
Speaker 1: They're saying it's horse d wormer. He's taking a human,

1612
01:25:50,600 --> 01:25:53,000
Speaker 1: you know, a human anti helminth product that has a

1613
01:25:53,360 --> 01:25:56,840
Speaker 1: long track record in human medicine. And I think they're

1614
01:25:56,840 --> 01:26:00,280
Speaker 1: doing so intentionally to kind of foster that narrative. It's

1615
01:26:00,360 --> 01:26:05,040
Speaker 1: unfortunate that hydroxychloroquin and ivermectin became politicized. They did in

1616
01:26:05,080 --> 01:26:09,680
Speaker 1: part because Trump touched hydroxy chloroquin. That politicizes it. But

1617
01:26:09,800 --> 01:26:13,320
Speaker 1: other drugs, you know, you don't think tassilismab and the Democrats,

1618
01:26:13,320 --> 01:26:16,040
Speaker 1: you don't think you know, sarah limimab and the Republicans.

1619
01:26:16,080 --> 01:26:17,879
Speaker 1: You know, there are some drugs that are still politically

1620
01:26:17,960 --> 01:26:20,200
Speaker 1: neutral out there, and that's the way all drugs should be.

1621
01:26:20,320 --> 01:26:23,080
Speaker 1: Drugs don't vote for presidents. You know, drugs are neutral.

1622
01:26:23,120 --> 01:26:25,200
Speaker 1: We should just run controlled studies. So I give them

1623
01:26:25,200 --> 01:26:27,880
Speaker 1: a little bit of credit. There's unique demonization of the

1624
01:26:27,960 --> 01:26:31,920
Speaker 1: drugs that you know, the deplorable so quote unquote, that's

1625
01:26:31,960 --> 01:26:33,720
Speaker 1: not the term that I would prefer you like to use.

1626
01:26:34,280 --> 01:26:36,519
Speaker 1: But but I do think they're wrong that doctors were

1627
01:26:36,560 --> 01:26:38,720
Speaker 1: willing to throw everything, if anything, I thought that threw

1628
01:26:38,760 --> 01:26:41,679
Speaker 1: too much in the early pandemic, and we did explore

1629
01:26:41,920 --> 01:26:45,519
Speaker 1: treatment heavily and still to this day. That's interesting. You know.

1630
01:26:45,600 --> 01:26:47,559
Speaker 1: The other thing which I think that you do kind

1631
01:26:47,600 --> 01:26:49,679
Speaker 1: of come to a consensus on this is very important,

1632
01:26:50,120 --> 01:26:53,479
Speaker 1: is that public debate over this is unfairly censored. And

1633
01:26:53,520 --> 01:26:55,559
Speaker 1: you point to this and point out some of the

1634
01:26:55,640 --> 01:26:59,439
Speaker 1: negative aspects. So as a doctor, as somebody who is

1635
01:26:59,600 --> 01:27:02,439
Speaker 1: very much himself heterodox on COVID, we should point out,

1636
01:27:02,479 --> 01:27:05,080
Speaker 1: I mean, doctor Pisa is somebody who has come out

1637
01:27:05,200 --> 01:27:08,120
Speaker 1: with a bit of critical of the evidence on school masking,

1638
01:27:08,520 --> 01:27:12,719
Speaker 1: on booster mandates, on school closures. We're not talking here

1639
01:27:12,760 --> 01:27:16,519
Speaker 1: to somebody who just completely toes the party line. Why

1640
01:27:16,640 --> 01:27:19,320
Speaker 1: is it do you think that censorship around these issues,

1641
01:27:19,560 --> 01:27:22,599
Speaker 1: on doctor mccull and doctor Malone itself is the wrong

1642
01:27:22,640 --> 01:27:27,360
Speaker 1: way in order to go about this. That's a great question.

1643
01:27:27,439 --> 01:27:29,840
Speaker 1: So first, the reason I'm heterodox on these issues is

1644
01:27:29,880 --> 01:27:31,759
Speaker 1: I follow evidence and I don't follow what other people

1645
01:27:31,800 --> 01:27:34,400
Speaker 1: tell me to think. And so the reason I think

1646
01:27:34,520 --> 01:27:37,600
Speaker 1: that censorship is really bad in the situation is we

1647
01:27:37,640 --> 01:27:40,240
Speaker 1: have to acknowledge a few things. One, people are afraid,

1648
01:27:40,360 --> 01:27:43,439
Speaker 1: they're anxious, they're scared. We're not using the best part

1649
01:27:43,439 --> 01:27:45,720
Speaker 1: of ourselves in thinking. You see that every day on

1650
01:27:45,760 --> 01:27:48,400
Speaker 1: Twitter you see two extreme camps. I think people have

1651
01:27:48,479 --> 01:27:50,840
Speaker 1: called him the covidians, the people who are instill in

1652
01:27:50,840 --> 01:27:53,120
Speaker 1: pursuit of zero COVID. I don't know how many deer

1653
01:27:53,120 --> 01:27:54,680
Speaker 1: they plan on hunting, but you're gonna have to hunt

1654
01:27:54,680 --> 01:27:56,120
Speaker 1: a few deer if you want to get COVID down

1655
01:27:56,160 --> 01:27:57,320
Speaker 1: to zero. I don't know. You have to kill a

1656
01:27:57,320 --> 01:28:00,200
Speaker 1: lot of other animals because it has multiple animal reservoirs.

1657
01:28:00,360 --> 01:28:02,360
Speaker 1: It's a pipe dream. It can't happen. We have the

1658
01:28:02,400 --> 01:28:05,320
Speaker 1: other side, people that are unfortunately called covidiots, who don't

1659
01:28:05,320 --> 01:28:08,080
Speaker 1: believe the virus even exists. And those are the extreme

1660
01:28:08,160 --> 01:28:11,439
Speaker 1: polar spectrums of this debate. And I think that happens

1661
01:28:11,439 --> 01:28:14,559
Speaker 1: when you're fearful and afraid, you gravitate to extremes. I

1662
01:28:14,560 --> 01:28:16,800
Speaker 1: also think what happens when you're fearful and afraid is

1663
01:28:16,800 --> 01:28:19,280
Speaker 1: that it is difficult to engage with people who you

1664
01:28:19,320 --> 01:28:22,400
Speaker 1: disagree with. You view everyone in this modern culture. If

1665
01:28:22,439 --> 01:28:25,200
Speaker 1: we disagree about medicine, you are killing people and I'm

1666
01:28:25,200 --> 01:28:27,439
Speaker 1: trying to save their lives. It's so black and white,

1667
01:28:27,560 --> 01:28:29,920
Speaker 1: and so it's natural for me to say or to think,

1668
01:28:29,960 --> 01:28:32,520
Speaker 1: I think, let's use the brute force of the technology

1669
01:28:32,520 --> 01:28:36,080
Speaker 1: platform or the state to just extinguish your speech. I

1670
01:28:36,080 --> 01:28:39,400
Speaker 1: think it's problematic in many ways. One these companies that

1671
01:28:39,439 --> 01:28:42,800
Speaker 1: are doing it are entirely unaccountable. It's not transparent. I

1672
01:28:42,840 --> 01:28:46,040
Speaker 1: did a little investigation of how Facebook was censoring some

1673
01:28:46,280 --> 01:28:49,000
Speaker 1: popular media articles, including articles in the Wall Street Journal,

1674
01:28:49,160 --> 01:28:51,960
Speaker 1: and I found that in some instances, the people they

1675
01:28:51,960 --> 01:28:54,640
Speaker 1: asked to fact check the article had already tweeted their

1676
01:28:54,680 --> 01:28:57,200
Speaker 1: opposition to the article. I don't like that article. So

1677
01:28:57,400 --> 01:28:59,680
Speaker 1: imagine if you're the editor of one of these platforms,

1678
01:29:00,040 --> 01:29:01,840
Speaker 1: you can look on the internet, who are the three

1679
01:29:01,880 --> 01:29:04,080
Speaker 1: doctors who already decide they don't like this? And they'll

1680
01:29:04,120 --> 01:29:07,120
Speaker 1: be the impartial reviewer. That is a very you know,

1681
01:29:07,160 --> 01:29:09,240
Speaker 1: that's like finding a juror by looking who already thinks

1682
01:29:09,280 --> 01:29:11,880
Speaker 1: the guy's guilty. You know, it's not a very impartial system,

1683
01:29:12,040 --> 01:29:14,559
Speaker 1: and it can be prone to extreme manipulation. The next

1684
01:29:14,560 --> 01:29:17,360
Speaker 1: thing is what are the qualifications of the sensors. I mean,

1685
01:29:17,720 --> 01:29:21,160
Speaker 1: you know, not everyone goes into academic medicine and publishes

1686
01:29:21,200 --> 01:29:24,200
Speaker 1: thousands of papers, but you do get some sense and

1687
01:29:24,280 --> 01:29:26,920
Speaker 1: perspective of science. By doing that, the sense you get

1688
01:29:26,960 --> 01:29:29,080
Speaker 1: of science is that there are many times in my

1689
01:29:29,120 --> 01:29:32,240
Speaker 1: scientific career I've seen people very certain about something. With

1690
01:29:32,320 --> 01:29:34,559
Speaker 1: a little bit more time, I see that certainty evolve,

1691
01:29:34,920 --> 01:29:37,080
Speaker 1: and the sensors may not always have that broad arc

1692
01:29:37,160 --> 01:29:39,200
Speaker 1: of science. They don't know what are the bounds of

1693
01:29:39,280 --> 01:29:43,280
Speaker 1: legitimate disagreement and what is truly egregious or unsupported claims.

1694
01:29:43,400 --> 01:29:45,479
Speaker 1: And when you give somebody that power, they're much more

1695
01:29:45,560 --> 01:29:47,919
Speaker 1: likely to wield it like an axe and not a scalpel.

1696
01:29:48,040 --> 01:29:50,639
Speaker 1: And so I think they have made great mistakes. They censored,

1697
01:29:50,680 --> 01:29:53,160
Speaker 1: for instance, the lab leak debate for you know, many

1698
01:29:53,160 --> 01:29:55,240
Speaker 1: many months you couldn't even talk about lab league. That

1699
01:29:55,360 --> 01:29:59,920
Speaker 1: is a huge infringement on free speech and a huge error,

1700
01:30:00,439 --> 01:30:02,879
Speaker 1: you know. And if it weren't for those three articles

1701
01:30:03,600 --> 01:30:06,960
Speaker 1: by Wade and et cetera, you know what would have happened.

1702
01:30:07,479 --> 01:30:09,919
Speaker 1: The last thing I think is that censorship may even backfire.

1703
01:30:09,960 --> 01:30:12,720
Speaker 1: In this case, these two people, McCulla and Malone, are

1704
01:30:12,840 --> 01:30:15,599
Speaker 1: far more prominent because they have been the platformed than

1705
01:30:15,600 --> 01:30:17,880
Speaker 1: they would be if you just either rebutted them or

1706
01:30:17,920 --> 01:30:20,080
Speaker 1: ignored the claims you thought were wrong. And so it

1707
01:30:20,160 --> 01:30:22,960
Speaker 1: really didn't massively backfire. I see now, you know, as

1708
01:30:23,000 --> 01:30:24,799
Speaker 1: you were talking about all these doctors want to censor

1709
01:30:24,880 --> 01:30:28,280
Speaker 1: Joe Rogan, good luck with that. The man's platform is massive.

1710
01:30:28,320 --> 01:30:30,880
Speaker 1: He cannot be censored, and he shouldn't be censored. He

1711
01:30:30,880 --> 01:30:33,320
Speaker 1: should be engaged with given credit for the fact that,

1712
01:30:33,360 --> 01:30:35,040
Speaker 1: and I will give him a lot of credit. He's

1713
01:30:35,080 --> 01:30:37,519
Speaker 1: willing to talk to people with different ideas. He himself

1714
01:30:37,600 --> 01:30:40,680
Speaker 1: is open minded, and he allows you to hear what

1715
01:30:40,720 --> 01:30:42,880
Speaker 1: these people have to say, which helped me write the

1716
01:30:42,920 --> 01:30:45,679
Speaker 1: piece where I agree with him where I disagree. Yeah,

1717
01:30:45,760 --> 01:30:48,240
Speaker 1: that's exactly right. I mean, I think that point about

1718
01:30:48,280 --> 01:30:51,400
Speaker 1: how it's backfired is really clear in the sistance because

1719
01:30:52,120 --> 01:30:55,240
Speaker 1: these efforts to censor have made guys like McCullough and

1720
01:30:55,280 --> 01:30:59,519
Speaker 1: Malone into effectively heroes, and it feeds their narrative of

1721
01:31:00,080 --> 01:31:03,280
Speaker 1: there's a conspiracy, the truth is being silenced. They're out

1722
01:31:03,360 --> 01:31:06,599
Speaker 1: to get you. We have the real information and they

1723
01:31:06,640 --> 01:31:09,360
Speaker 1: can't even let you hear it. If you were you know,

1724
01:31:09,439 --> 01:31:11,720
Speaker 1: why are you so afraid? If we're so wrong, then

1725
01:31:11,800 --> 01:31:14,120
Speaker 1: just engage with it. And the truth is what you've

1726
01:31:14,160 --> 01:31:18,400
Speaker 1: done here by going through each claim and you know, saying, hey,

1727
01:31:18,520 --> 01:31:20,960
Speaker 1: here they have a point, and here they're just wildly

1728
01:31:21,040 --> 01:31:23,760
Speaker 1: off base, and that you're responsible. That is a far

1729
01:31:23,880 --> 01:31:26,599
Speaker 1: more effective way to deal with this. And I think

1730
01:31:26,600 --> 01:31:29,519
Speaker 1: there's been this fear that if you even acknowledge things

1731
01:31:29,600 --> 01:31:33,439
Speaker 1: like myocarditis, which again I think folks who sort of

1732
01:31:33,439 --> 01:31:36,600
Speaker 1: fall in the anti vaxx can't fixate on exclusively and

1733
01:31:36,680 --> 01:31:38,479
Speaker 1: don't want to talk about any of the benefits and

1734
01:31:38,520 --> 01:31:40,559
Speaker 1: blow it up out of proportion, et cetera, et cetera.

1735
01:31:41,120 --> 01:31:44,040
Speaker 1: But I think on the liberal side, they're so afraid

1736
01:31:44,040 --> 01:31:48,800
Speaker 1: to even admit that there's any possibility, albeit rare, of

1737
01:31:48,840 --> 01:31:52,360
Speaker 1: a negative side effect would play would give a talking

1738
01:31:52,439 --> 01:31:55,120
Speaker 1: point to the anti vaxxers and play into the hands

1739
01:31:55,120 --> 01:31:57,640
Speaker 1: of the anti vaxxers, when really you should just be

1740
01:31:57,720 --> 01:31:59,800
Speaker 1: about trying to sort out the evidence and get it

1741
01:31:59,880 --> 01:32:05,440
Speaker 1: the truth and then make policy based on whatever evidence

1742
01:32:05,560 --> 01:32:08,679
Speaker 1: ultimately find and be open and willing to change your mind. Here.

1743
01:32:10,520 --> 01:32:13,040
Speaker 1: That's absolutely right. I agree completely. I mean I think

1744
01:32:13,080 --> 01:32:16,320
Speaker 1: that this that Yeah, I think exactly as you say.

1745
01:32:16,360 --> 01:32:18,479
Speaker 1: I think there are people who want to misuse safety signals,

1746
01:32:18,479 --> 01:32:20,280
Speaker 1: but there is a right way to deal with safety signals.

1747
01:32:20,280 --> 01:32:22,639
Speaker 1: Take them seriously and think about how you can minimize

1748
01:32:22,640 --> 01:32:25,960
Speaker 1: the safety signal. And I think these college campuses right now,

1749
01:32:26,000 --> 01:32:28,000
Speaker 1: and I think there's a petition this week at Stanford

1750
01:32:28,000 --> 01:32:30,360
Speaker 1: campus saying, you know, do you really need a mandatory

1751
01:32:30,400 --> 01:32:33,160
Speaker 1: booster policy for healthy twenty year rolls on a college campus?

1752
01:32:33,200 --> 01:32:35,599
Speaker 1: And I guess I'm sympathetic with that because you've got

1753
01:32:35,600 --> 01:32:38,400
Speaker 1: a guy like Paul Offittt who literally himself has made

1754
01:32:38,400 --> 01:32:41,320
Speaker 1: a vaccine and he's on the Vaccine Advisory Committee of

1755
01:32:41,400 --> 01:32:44,760
Speaker 1: the CDC. He is critical of it, And so that's

1756
01:32:44,760 --> 01:32:47,439
Speaker 1: a place where we should be reluctant to impose the

1757
01:32:47,479 --> 01:32:50,160
Speaker 1: brute force of mandates. I think that the group of

1758
01:32:50,200 --> 01:32:52,280
Speaker 1: people that need the boosters the most, of the nursing

1759
01:32:52,280 --> 01:32:54,639
Speaker 1: home patients, they still don't have one hundred percent boosting.

1760
01:32:54,640 --> 01:32:56,400
Speaker 1: That's a huge error. That's an error that's going to

1761
01:32:56,400 --> 01:32:58,559
Speaker 1: haunt you in the near term. You need to solve

1762
01:32:58,600 --> 01:33:01,880
Speaker 1: that problem. But college is young people. Those are places

1763
01:33:01,880 --> 01:33:03,840
Speaker 1: where you can have a light touch. You don't need

1764
01:33:03,840 --> 01:33:07,000
Speaker 1: this brute force. And just to be clear on what

1765
01:33:07,080 --> 01:33:10,760
Speaker 1: your recommendation would be for young men who fall into

1766
01:33:10,840 --> 01:33:15,960
Speaker 1: the highest risk category, even for that demographic grips risk

1767
01:33:15,960 --> 01:33:20,200
Speaker 1: for myocarditis or COVID, highest risk for myocarditis. Young men

1768
01:33:20,400 --> 01:33:24,040
Speaker 1: highest risk for myocarditis from the vaccine. Even for that group,

1769
01:33:24,439 --> 01:33:29,439
Speaker 1: you're not recommending don't get vaccinated. Your suggestion is that, hey,

1770
01:33:29,479 --> 01:33:31,479
Speaker 1: maybe we space out the shots, maybe we don't do

1771
01:33:31,560 --> 01:33:34,720
Speaker 1: boosters here. How are you weighing that evidence to come

1772
01:33:34,720 --> 01:33:38,720
Speaker 1: to that particular conclusion. I guess I would say that

1773
01:33:38,800 --> 01:33:41,439
Speaker 1: even in that group, I think there is compelling evidence

1774
01:33:41,479 --> 01:33:44,439
Speaker 1: that the first dose dramatically will reduce the risk of

1775
01:33:44,479 --> 01:33:48,040
Speaker 1: severe illness and hospitalization. The first dose will do a lot,

1776
01:33:48,200 --> 01:33:52,480
Speaker 1: like a huge majority of the reduction severe illness and hospitalization.

1777
01:33:52,760 --> 01:33:55,400
Speaker 1: The question is when you have the second dose. What

1778
01:33:55,520 --> 01:33:57,439
Speaker 1: happens if before you have the second dose you have

1779
01:33:57,479 --> 01:33:59,760
Speaker 1: an omicron Do you really need the second dose? Then

1780
01:33:59,800 --> 01:34:01,760
Speaker 1: you had an exposure to the virus. I think these

1781
01:34:01,760 --> 01:34:03,360
Speaker 1: are legitimate questions, and I will be at the first

1782
01:34:03,400 --> 01:34:05,200
Speaker 1: to admit I don't have the perfect answer. The way

1783
01:34:05,240 --> 01:34:07,799
Speaker 1: to answer the question is to compel the drug company

1784
01:34:07,840 --> 01:34:10,320
Speaker 1: that has made pens of billions of dollars to run

1785
01:34:10,439 --> 01:34:13,680
Speaker 1: randomized studies in each of these subpopulations that require a

1786
01:34:13,800 --> 01:34:17,280
Speaker 1: unique approach. Somebody who's had one shot and then the virus,

1787
01:34:17,320 --> 01:34:19,960
Speaker 1: somebody who is an athlete, you know they require a

1788
01:34:20,040 --> 01:34:23,000
Speaker 1: unique touch, but I do believe the evidence is clear

1789
01:34:23,160 --> 01:34:25,760
Speaker 1: that for the vast majority of people, that first dose

1790
01:34:25,920 --> 01:34:28,560
Speaker 1: will have a market reduction in severe illness and hospitization.

1791
01:34:28,760 --> 01:34:30,320
Speaker 1: So it is worth it to you to take it.

1792
01:34:30,520 --> 01:34:33,040
Speaker 1: That's one of the things that Malone brings up, which

1793
01:34:33,080 --> 01:34:37,120
Speaker 1: is he keeps comparing natural immunity to the vaccine. I

1794
01:34:37,120 --> 01:34:40,000
Speaker 1: think that's kind of the wrong comparison because it's natural immunity.

1795
01:34:40,160 --> 01:34:43,040
Speaker 1: If you survive to your illness, then you have great immunity.

1796
01:34:43,080 --> 01:34:45,120
Speaker 1: But what are the people didn't survive and compare it

1797
01:34:45,120 --> 01:34:47,559
Speaker 1: against vaccination? And so I think for most people the

1798
01:34:47,640 --> 01:34:50,720
Speaker 1: better thing to do is to get vaccinated rather than

1799
01:34:50,800 --> 01:34:52,880
Speaker 1: to take your chances with the virus the first time.

1800
01:34:53,000 --> 01:34:55,360
Speaker 1: But that doesn't mean But the point he has right

1801
01:34:55,560 --> 01:34:58,439
Speaker 1: is that once you have been exposed or had infection

1802
01:34:58,680 --> 01:35:00,759
Speaker 1: for instance, Joe Rogan has already had virus for instance,

1803
01:35:00,760 --> 01:35:03,320
Speaker 1: a lot of people have had breakthroughs. I think, you know, Sager,

1804
01:35:03,400 --> 01:35:06,040
Speaker 1: you've had a breakthrough. You described you know you yeah,

1805
01:35:06,120 --> 01:35:08,040
Speaker 1: and you've had moderna and a breakthrough. Do you really

1806
01:35:08,120 --> 01:35:10,559
Speaker 1: need a booster? I think that's an open scientific question.

1807
01:35:10,760 --> 01:35:13,000
Speaker 1: Nobody knows the answer to that question. Moderna should be

1808
01:35:13,040 --> 01:35:15,439
Speaker 1: compelled to do a study in that subgroup of people

1809
01:35:15,479 --> 01:35:17,759
Speaker 1: to give you information you need. They got the cash

1810
01:35:17,760 --> 01:35:19,840
Speaker 1: for it, I know they do. And so that's where

1811
01:35:19,880 --> 01:35:22,519
Speaker 1: I think the right interpretation of this data should be

1812
01:35:22,720 --> 01:35:24,599
Speaker 1: and how people should take it seriously. But I agree

1813
01:35:24,600 --> 01:35:26,880
Speaker 1: with you, Crystal. There're folks on the extreme left who

1814
01:35:26,920 --> 01:35:30,000
Speaker 1: think that you know, you know, you'll be fully vaccinated

1815
01:35:30,040 --> 01:35:32,720
Speaker 1: when you get your next booster, and when, and it's

1816
01:35:32,760 --> 01:35:34,960
Speaker 1: always the next booster, that's when you're fully vaccinated. That's

1817
01:35:34,960 --> 01:35:38,800
Speaker 1: an extreme position. We cannot boost people in perpetuity. We

1818
01:35:38,840 --> 01:35:41,679
Speaker 1: can't boost people just to raise their antibody tighters forever.

1819
01:35:41,880 --> 01:35:44,280
Speaker 1: We need to boost people insofar as we improve their

1820
01:35:44,320 --> 01:35:48,559
Speaker 1: health and maximize their reduction hospitalization, but minimize their harms.

1821
01:35:48,800 --> 01:35:50,719
Speaker 1: Yeah you know, doctor tell you guys. Oh yeah, go ahead,

1822
01:35:50,760 --> 01:35:52,760
Speaker 1: gright please please. Now, the last pint I want to

1823
01:35:52,760 --> 01:35:55,280
Speaker 1: make to you is one thing shifted. You know, what

1824
01:35:55,320 --> 01:35:58,840
Speaker 1: did Omicron do that Delta didn't Omicron. The vaccine is

1825
01:35:58,880 --> 01:36:02,200
Speaker 1: still good for preventing you from getting very severely ill

1826
01:36:02,200 --> 01:36:04,160
Speaker 1: and hospitalized. And that's why you ought to do it

1827
01:36:04,200 --> 01:36:06,840
Speaker 1: in your own best interest. Be a selfish American and

1828
01:36:06,920 --> 01:36:10,200
Speaker 1: get the shot. But Omicron changed it in one way,

1829
01:36:10,240 --> 01:36:13,080
Speaker 1: which is that the efficacy of the vaccine in preventing

1830
01:36:13,120 --> 01:36:16,599
Speaker 1: you from getting a mild or symptomatic illness that has

1831
01:36:16,680 --> 01:36:19,479
Speaker 1: dropped dramatically. And so I do think there is a

1832
01:36:19,560 --> 01:36:25,240
Speaker 1: tension in policy because the moral justification for workplace mandates,

1833
01:36:25,240 --> 01:36:28,080
Speaker 1: et cetera wasn't that it will help me, but it

1834
01:36:28,120 --> 01:36:30,000
Speaker 1: will slow the spread in a community. That is an

1835
01:36:30,040 --> 01:36:33,480
Speaker 1: increasingly tenuous claim. So we can have a dialogue about mandates.

1836
01:36:33,680 --> 01:36:35,479
Speaker 1: Separate from a dialogue or whether or not you ought

1837
01:36:35,479 --> 01:36:37,160
Speaker 1: to do it. I think that's also hard to kind

1838
01:36:37,200 --> 01:36:39,479
Speaker 1: of tease out. See that's very important, And that's actually

1839
01:36:39,479 --> 01:36:41,519
Speaker 1: what I wanted to get with you finally, which is

1840
01:36:41,560 --> 01:36:43,360
Speaker 1: that why can't we boost our way out of this?

1841
01:36:43,520 --> 01:36:46,280
Speaker 1: Israel's got the fourth shot? Why is it? And you

1842
01:36:46,320 --> 01:36:48,080
Speaker 1: were the first person who ever really floated this to

1843
01:36:48,120 --> 01:36:50,800
Speaker 1: me in a mainstream, compelling way that everybody on earth

1844
01:36:50,920 --> 01:36:52,760
Speaker 1: was going to get COVID? Why do you believe that?

1845
01:36:52,800 --> 01:36:54,760
Speaker 1: And what do you think the best way that we

1846
01:36:54,800 --> 01:36:59,080
Speaker 1: can manage it from a public health perspective going forward? Yeah?

1847
01:36:59,120 --> 01:37:01,240
Speaker 1: And I think now and any Fauci believes it as well.

1848
01:37:01,240 --> 01:37:02,840
Speaker 1: Why do I believe it. I mean the moment I

1849
01:37:02,840 --> 01:37:05,880
Speaker 1: saw the vaccine efficacy with omicron in three series, and

1850
01:37:05,920 --> 01:37:08,160
Speaker 1: I saw it over time. So not only was it

1851
01:37:08,200 --> 01:37:10,519
Speaker 1: lower than what I thought with boosting, it was also

1852
01:37:10,560 --> 01:37:14,040
Speaker 1: waning even after a booster. Booster is a transient. You know,

1853
01:37:14,200 --> 01:37:16,559
Speaker 1: it'll have a transient reduction in your ability to get

1854
01:37:16,560 --> 01:37:19,080
Speaker 1: the virus. So what do I think will happen? I mean,

1855
01:37:19,120 --> 01:37:22,280
Speaker 1: this virus will circulate forever in human beings. It'll circulate

1856
01:37:22,320 --> 01:37:24,679
Speaker 1: for the next ten thousand years. It'll be intertwined with us.

1857
01:37:24,880 --> 01:37:27,280
Speaker 1: Many of us are likely to be infected many times

1858
01:37:27,320 --> 01:37:29,400
Speaker 1: in our lives. Most of us who are not yet

1859
01:37:29,439 --> 01:37:31,639
Speaker 1: born will be infected in childhood and then again again

1860
01:37:31,640 --> 01:37:33,719
Speaker 1: in adulthood. And I think it will be a milder

1861
01:37:33,720 --> 01:37:37,840
Speaker 1: and milder infection each time you're infected with it. Boosters, unfortunately,

1862
01:37:37,880 --> 01:37:41,200
Speaker 1: do not provide sterilizing immunity. There are too many animal reservoirs.

1863
01:37:41,320 --> 01:37:43,360
Speaker 1: This virus will not be extinguished. It won't go the

1864
01:37:43,360 --> 01:37:45,960
Speaker 1: way of smallpox. That's okay. We have to get on

1865
01:37:46,080 --> 01:37:47,920
Speaker 1: with life. We have to do what both of you do,

1866
01:37:48,120 --> 01:37:50,599
Speaker 1: which is talk about trade offs. You know, you want

1867
01:37:50,640 --> 01:37:52,439
Speaker 1: to minimize the harm of this virus. You want to

1868
01:37:52,439 --> 01:37:56,040
Speaker 1: protect the people who are susceptible, compromise, people with medical conditions,

1869
01:37:56,040 --> 01:37:58,360
Speaker 1: people who are overweight, saga. You're great about pointing that out.

1870
01:37:58,439 --> 01:38:00,960
Speaker 1: That's a huge risk factor that within your control. People

1871
01:38:00,960 --> 01:38:03,439
Speaker 1: who are older, being old age is not within your control.

1872
01:38:03,640 --> 01:38:05,679
Speaker 1: But we need to protect the older people by giving

1873
01:38:05,720 --> 01:38:08,320
Speaker 1: them boosters. And maybe older people will actually have a

1874
01:38:08,360 --> 01:38:10,960
Speaker 1: survival benefit from every six month boosting. I don't know

1875
01:38:11,000 --> 01:38:13,599
Speaker 1: the answer. Pfizer should run the study. But what should

1876
01:38:13,600 --> 01:38:15,720
Speaker 1: we do with younger people. I think we should give

1877
01:38:15,760 --> 01:38:18,480
Speaker 1: them some vaccination to dramatically lower the risk of hospitalization

1878
01:38:18,600 --> 01:38:20,600
Speaker 1: or death, But then we might have to accept the

1879
01:38:20,640 --> 01:38:23,479
Speaker 1: fact that they will have breakthrough infections. And I'm critical

1880
01:38:23,479 --> 01:38:25,519
Speaker 1: of policies that say we should all wear an N

1881
01:38:25,600 --> 01:38:28,479
Speaker 1: ninety five starting now, because I think when will be

1882
01:38:28,560 --> 01:38:31,200
Speaker 1: the stop date? What are you looking for to stop

1883
01:38:31,240 --> 01:38:33,400
Speaker 1: that policy? If you wear it now, you might wear

1884
01:38:33,439 --> 01:38:35,040
Speaker 1: it for the next fifty years. Do you want to

1885
01:38:35,040 --> 01:38:37,320
Speaker 1: do that? And so I think that's a problematic policy

1886
01:38:37,360 --> 01:38:39,439
Speaker 1: to me, And that's why I think sometimes the administration

1887
01:38:39,520 --> 01:38:42,080
Speaker 1: is schizophrenia when they're passing out in ninety fives while

1888
01:38:42,080 --> 01:38:45,080
Speaker 1: also saying we're all going to get this virus. That's

1889
01:38:45,120 --> 01:38:48,800
Speaker 1: a great point. One more question for you, which is

1890
01:38:48,840 --> 01:38:51,799
Speaker 1: a little bit more, a little less science and database,

1891
01:38:51,840 --> 01:38:53,240
Speaker 1: although you might be able to bring that to the

1892
01:38:53,280 --> 01:38:55,840
Speaker 1: table as well, and a little more philosophical. How much

1893
01:38:55,960 --> 01:38:58,800
Speaker 1: does the fact that these pharmaceutical companies do have a

1894
01:38:58,800 --> 01:39:02,880
Speaker 1: gigantic profit motive that does warp their incentives here? I mean,

1895
01:39:03,000 --> 01:39:05,920
Speaker 1: how much does that skew the conversation. How much does

1896
01:39:05,960 --> 01:39:08,360
Speaker 1: that feed the sort of mistrust that leads folks like

1897
01:39:08,600 --> 01:39:11,280
Speaker 1: Malone and McCullough to have massive fan bases and be

1898
01:39:11,320 --> 01:39:14,360
Speaker 1: able to persuade people that you know, not only should

1899
01:39:14,400 --> 01:39:16,400
Speaker 1: we be talking about the risk, but actually the risks

1900
01:39:16,439 --> 01:39:19,479
Speaker 1: outweigh the potential benefits of the vaccine, which you know,

1901
01:39:19,560 --> 01:39:21,960
Speaker 1: based on the data that we have not just from

1902
01:39:22,000 --> 01:39:24,600
Speaker 1: here in the US, but around the world, is just

1903
01:39:24,640 --> 01:39:28,240
Speaker 1: not the case. You know, you two have been terrific

1904
01:39:28,280 --> 01:39:30,439
Speaker 1: on this issue. You're absolutely right, and in fact, I've

1905
01:39:30,439 --> 01:39:33,280
Speaker 1: written two policy books that have talked about the untoward

1906
01:39:33,320 --> 01:39:37,280
Speaker 1: influence of the pharmaceutical industry in medicine. The pharmaceutical industry

1907
01:39:37,920 --> 01:39:40,800
Speaker 1: their goal is to sustain their profits in revenue, and

1908
01:39:40,840 --> 01:39:43,519
Speaker 1: so that goal, I think we have to be very clear.

1909
01:39:43,600 --> 01:39:45,840
Speaker 1: The pharmaceutical industry's goal is to make profits, but that

1910
01:39:45,920 --> 01:39:49,240
Speaker 1: goal actually has a huge overlap with making people better off.

1911
01:39:49,439 --> 01:39:51,479
Speaker 1: You know, insofar as we make people better off, we

1912
01:39:51,520 --> 01:39:54,160
Speaker 1: can have more profits. But the arrows do not point

1913
01:39:54,280 --> 01:39:57,160
Speaker 1: exactly the same direction. Sometimes a company wants you to

1914
01:39:57,280 --> 01:40:00,240
Speaker 1: use more drug earlier, more often, never stop up, and

1915
01:40:00,479 --> 01:40:02,960
Speaker 1: continue boosting in perpetuity. I think that is part of

1916
01:40:02,960 --> 01:40:06,240
Speaker 1: the business plan of Moderna and Pfizer. Moderna is also

1917
01:40:06,240 --> 01:40:08,320
Speaker 1: developing an EBV vaccine that might be the next thing

1918
01:40:08,360 --> 01:40:09,519
Speaker 1: they work on. They're going to try to come up

1919
01:40:09,520 --> 01:40:12,080
Speaker 1: with other vaccines. Now that doesn't mean I'm skeptical and

1920
01:40:12,120 --> 01:40:14,320
Speaker 1: I will never take these vaccines. It means that we

1921
01:40:14,400 --> 01:40:17,240
Speaker 1: need to hold them up to rigorous standards. We need

1922
01:40:17,280 --> 01:40:20,519
Speaker 1: independent regulators to say, prove to me you're making people

1923
01:40:20,560 --> 01:40:22,120
Speaker 1: better off, and then we will let you have the

1924
01:40:22,160 --> 01:40:24,680
Speaker 1: market share. But we can't lower the bar just to

1925
01:40:24,720 --> 01:40:27,240
Speaker 1: give you the market share. And so for boosters, the

1926
01:40:27,320 --> 01:40:31,719
Speaker 1: regulatory standard is something called mean geometric antibody tighters. It's basically,

1927
01:40:31,960 --> 01:40:35,000
Speaker 1: show me that you're boosting antibody levels. But as a doctor,

1928
01:40:35,120 --> 01:40:36,840
Speaker 1: that's not what I want to see. I want you

1929
01:40:36,880 --> 01:40:39,120
Speaker 1: to show me you're keeping people out of the hospital,

1930
01:40:39,120 --> 01:40:41,439
Speaker 1: you're keeping people from getting very sick. You show me that,

1931
01:40:41,479 --> 01:40:43,560
Speaker 1: and I'm sold on boosters. But if you show me

1932
01:40:43,640 --> 01:40:46,519
Speaker 1: antibody levels a blood test, I'm not sold because that

1933
01:40:46,560 --> 01:40:49,559
Speaker 1: doesn't have a perfect correlation with the thing I care about.

1934
01:40:49,760 --> 01:40:54,400
Speaker 1: And so it is important that regulators and independent people

1935
01:40:54,439 --> 01:40:57,720
Speaker 1: like yourself and doctors hold these companies accountable. We're not

1936
01:40:57,760 --> 01:41:00,000
Speaker 1: saying we'll never consider your products. We're saying we want

1937
01:41:00,040 --> 01:41:02,559
Speaker 1: want you to prove the make Americans better off, and

1938
01:41:02,600 --> 01:41:05,519
Speaker 1: that is the bar we should hold them to. Doctor

1939
01:41:05,600 --> 01:41:08,120
Speaker 1: vine Pisad can't thank you enough. You've been a vital

1940
01:41:08,160 --> 01:41:11,240
Speaker 1: resource to us here on the show. Read your work

1941
01:41:11,280 --> 01:41:13,880
Speaker 1: all the time. We're gonna have links down to everything

1942
01:41:13,880 --> 01:41:16,920
Speaker 1: in the description, but subscribe to his YouTube channel, subscribe

1943
01:41:16,920 --> 01:41:19,559
Speaker 1: to his substack, check out some of his articles. The

1944
01:41:19,560 --> 01:41:21,840
Speaker 1: one that we mainly discussed will be there. You're a

1945
01:41:21,920 --> 01:41:24,320
Speaker 1: vital resource at this time, sir, and we really appreciate it.

1946
01:41:24,439 --> 01:41:27,400
Speaker 1: Great to meet you, doctor. Thanks for your time, absolutely, sir.

1947
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Speaker 1: Thank you guys so much for watching. We really appreciate it.

1948
01:41:30,880 --> 01:41:33,000
Speaker 1: You know, every day I'm reminded of why we do

1949
01:41:33,040 --> 01:41:34,880
Speaker 1: the show. Crystal, I was telling you this. I posted

1950
01:41:34,920 --> 01:41:37,840
Speaker 1: that monologue that I did yesterday on Instagram and it

1951
01:41:37,920 --> 01:41:40,880
Speaker 1: was throttled in a way that I've never seen. It's unbelievable.

1952
01:41:41,000 --> 01:41:44,200
Speaker 1: Usually gets thousands of views, like per hour, it had

1953
01:41:44,280 --> 01:41:47,360
Speaker 1: five hundred. I was thinking when we were talking about

1954
01:41:47,439 --> 01:41:52,200
Speaker 1: Ukraine today, I was this one's probably going to get

1955
01:41:52,200 --> 01:41:54,720
Speaker 1: to there's no question, right, I would be surprised if

1956
01:41:54,760 --> 01:41:56,519
Speaker 1: they even took it down, even though he's like pro

1957
01:41:56,680 --> 01:41:59,400
Speaker 1: vax and goes through all the stuff. But look, guys,

1958
01:41:59,560 --> 01:42:02,040
Speaker 1: this is what we need you. We can literally be

1959
01:42:02,120 --> 01:42:04,320
Speaker 1: taken down at the drop of a hat. It's always

1960
01:42:04,320 --> 01:42:07,040
Speaker 1: a good reminder of we are only as free as

1961
01:42:07,080 --> 01:42:08,880
Speaker 1: they let us be. And the reason why that we

1962
01:42:08,920 --> 01:42:12,400
Speaker 1: designed our business and more is specifically to be censorship proof.

1963
01:42:12,479 --> 01:42:15,000
Speaker 1: That's why we have the premium link down in the description.

1964
01:42:15,080 --> 01:42:17,360
Speaker 1: If you can help us, it gives us the confidence

1965
01:42:17,400 --> 01:42:20,400
Speaker 1: and the ability to say it doesn't matter, demonetize it,

1966
01:42:20,479 --> 01:42:23,080
Speaker 1: go ahead, make sure that you can. You know you can't,

1967
01:42:23,160 --> 01:42:25,080
Speaker 1: make sure you can take the money. We don't care.

1968
01:42:25,160 --> 01:42:26,879
Speaker 1: We can still keep the lights on on the studio

1969
01:42:27,120 --> 01:42:28,920
Speaker 1: and keep bringing the show to all of you. That's

1970
01:42:28,960 --> 01:42:31,280
Speaker 1: the only thing that matters to us and it always

1971
01:42:31,320 --> 01:42:33,439
Speaker 1: will be. So we appreciate you guys so much. Love

1972
01:42:33,479 --> 01:42:34,840
Speaker 1: you guys, have a great day, and we will see

1973
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Speaker 1: you right back here tomorrow. Tomorrow,