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Speaker 1: Cable news is ripping us apart, dividing the nation, making

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Speaker 1: it impossible to function as a society and to know

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Speaker 1: what is true and what is false. The good news

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Speaker 1: member today at breakingpoints dot com. Your hard earned money

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Speaker 1: the upcoming presidential election so we can provide unparalleled coverage

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Speaker 1: of what is sure to be one of the most

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Speaker 1: pivotal moments in American history. So what are you waiting for?

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Speaker 1: Go to Breakingpoints dot com to help us out. Good morning, everybody,

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

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Speaker 1: What do we have, Crystal. Indeed, we do lots of

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Speaker 1: big new developments with regards to that FBI search on

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Speaker 1: mar A Lago Trump's home, some new details that give

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Speaker 1: us a little bit more of the contours of what's

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Speaker 1: going on, and also his shifting defenses. He's kind of

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Speaker 1: all over the map about what he's saying about it,

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Speaker 1: and there's also a little bit of political fallout. Now

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Speaker 1: we can see the Republicans a little bit more divided

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Speaker 1: about exactly how to respond to this. We also see

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Speaker 1: some poll numbers showing that this might not be good

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Speaker 1: for Trump overall, but it seems to be very good

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Speaker 1: for him with regards to the Republican base. We also

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Speaker 1: want to give you the details of this attack on

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Speaker 1: an FBI office in Cincinnati. The gunman was ultimately shot

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Speaker 1: dead by law enforcement and increased threats against the FBI

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Speaker 1: in the wake of this raid, So we have all

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Speaker 1: of that. Also the attack on Salmon Rushdie. He is

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Speaker 1: reportedly now beginning to recover, but that road to recovery

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Speaker 1: is very long. We'll tell you what we know about

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Speaker 1: the attacker and a story we owned talked about for

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Speaker 1: a minute, but we have some new details about exactly

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Speaker 1: what happened in that horrific Onset tragedy with regards to

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Speaker 1: Alec Baldwin, a new FBI report. There a lot of

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Speaker 1: FBI in the show today, right and I will tell

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Speaker 1: you about that. We also have Alex Holder on. He

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Speaker 1: is that documentarian who was subpoenaed by the January sixth Committee.

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Speaker 1: Also subpoena down in the Georgia investigation of Trump. He

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Speaker 1: had sort of well, the film is called Unprecedented. He

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Speaker 1: really did have unprecedented access to Trump and to his

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Speaker 1: family in the run up to the election. I actually

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Speaker 1: watched the whole thing last night, and it was really

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Speaker 1: weird reliving the whole election because there are so much

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Speaker 1: happened that there were just pieces I completely memory held.

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Speaker 1: I forgot how close it was to election day when

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Speaker 1: Trump got COVID. It was in the hospital and like

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Speaker 1: on death's door right before the Like, I sort of

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Speaker 1: forgot how close to election day. Oh crazy. Anyway, reliving

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Speaker 1: it is fun, yes, indeed. Okay, so the very latest developments,

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Speaker 1: as you guys know, we had this raid on mar

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Speaker 1: A Lago. FBI goes in shocking development and there immediately

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Speaker 1: were a lot of calls for increased transparency from the DOJ. Hey,

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Speaker 1: we want to see what you're doing, we want to

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Speaker 1: see what you took from here. Merrett Garland gave a

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Speaker 1: press conference and said, Okay, I'm authorizing the unsealing because

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Speaker 1: the President revealed the existence of this raid and some

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Speaker 1: of the details. I'm going to go ahead and ask

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Speaker 1: the court to unseal the search warrant and the inventory

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Speaker 1: list of what was taken in that search. After some debate,

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Speaker 1: I think internally the Trump team agreed, they said, okay,

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Speaker 1: we're okay with this, and so those documents became public.

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Speaker 1: Here's some of what we learned there. Let's go ahead

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Speaker 1: and put the Wall Street Journal up on the screen.

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Speaker 1: They were among the first news outlets to actually get

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Speaker 1: their hands on these documents. They recovered the FBI eleven

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Speaker 1: sets of classified documents in the Trump search, according to

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Speaker 1: that list of inventory, and I'm going to show you

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Speaker 1: the inventory list in a minute. It doesn't go into

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Speaker 1: a lot of specific detail, but it does give you

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Speaker 1: some sort of high level categories that give us a

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Speaker 1: little bit of insight. And also on the search warrant,

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Speaker 1: it indicates which criminal statutes they are actually, you know

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Speaker 1: that this investigation has to do with. So here's a

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Speaker 1: little bit of the detail from this Wall Street Journal report.

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Speaker 1: They say FBI agents who searched former President Donald trumps

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Speaker 1: mar Alago home removed eleven sets of classified documents, including

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Speaker 1: some marked as top secret and meant to be only

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Speaker 1: available in special government facilities. That is, according to that

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Speaker 1: search warrant and inventory list, the FBI agents took around

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Speaker 1: twenty boxes of items, binderds of photos. Some of the

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Speaker 1: details here are sort of amusing a handwritten note in

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Speaker 1: the executive grant of clemency for Roger Stone. List of

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Speaker 1: items removed from property shows. Also including the list was

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Speaker 1: information about the president of France. There were some additional

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Speaker 1: reporting about some of the specifics of the documents that

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Speaker 1: were removed. I believe it was the Washington Post who

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Speaker 1: had the bombshell report that some sort of nuclear information

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Speaker 1: was included in the documents that they were at least

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Speaker 1: searching for New York Times reporting that it included special

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Speaker 1: access programs, that is, some of the most highly sensitive

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Speaker 1: information that the government has. Let's go ahead and put

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Speaker 1: the image of the inventory list up on the screen,

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Speaker 1: just to give you a sense of the sort of

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Speaker 1: high level categories that they have on here. You know,

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Speaker 1: they list sort of like general categories of documents, but

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Speaker 1: they don't get into like nuclear secrets or anything like that.

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Speaker 1: They do indicate though, that there is quite a bit

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Speaker 1: of secret and top secret documents that were taken out

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Speaker 1: of Mara al Lago, or at least their marked secret

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Speaker 1: and top secret. We'll get into some of the debate

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Speaker 1: about classification how all of that works, which we've been

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Speaker 1: discussing on this show already. Nextletk's put the New York

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Speaker 1: Times up on the screen, which gets into some of

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Speaker 1: the laws and criminal statutes that were listed in this

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Speaker 1: search warrant. So there were three criminal statutes that were mentioned.

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Speaker 1: One of which, which is the kind of most eye

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Speaker 1: catching in terms of its name, is a provision of

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Speaker 1: the Espionage Act. It is criminalizes the unauthorized retention or

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Speaker 1: disclosure of information related to national defense that could be

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Speaker 1: used to harm the US or aid a foreign adversary.

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Speaker 1: Each offense can carry penalty of up to ten years

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Speaker 1: in prison. Worth noting with regards to Espionage Act, it

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Speaker 1: doesn't actually require that you're like a spy, as I

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Speaker 1: just indicated. It just requires that you had, as they say,

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Speaker 1: unauthorized retention or disclosure of information related to national defense.

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Speaker 1: So even just you know, having it when you're not

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Speaker 1: supposed to and it could be a risk, could subject

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Speaker 1: you to prosecution under the Espionage Act. Of course, Also

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Speaker 1: the Espionage Act was in my opinion, abused by the

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Speaker 1: Trump administration to go after Julian assigned, but that's another

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Speaker 1: story for another day. They also have in here obstruction,

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Speaker 1: which could be related to the fact that we now

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Speaker 1: know the Trump administration had been in contact with the

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Speaker 1: FBI and the DOJ and the National Archives. They've been

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Speaker 1: asking for these documents. They've even been issued a subpoena

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Speaker 1: previously for these documents, claimed they'd sent it over, and

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Speaker 1: clearly that wasn't the case. So that could be what's

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Speaker 1: playing into the obstruction charge that's listed, not charged, but

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Speaker 1: criminal statute that's listed here. He has not been indicted

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Speaker 1: there having been any charges filed. The third Law criminalizes.

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Speaker 1: It's called Section twenty seventy one criminalizes the theft or

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Speaker 1: destruction of government documents. It makes it a crime punishable

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Speaker 1: in part by up to three years in prison per offense,

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Speaker 1: for anyone with custody of any record or document from

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Speaker 1: federal court or public office to willfully and unlawfully conceal, remove, mutilate, falsify,

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Speaker 1: or destroy it. One thing that is of note that

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Speaker 1: we can talk about more when we get into some

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Speaker 1: of Trump's defenses, is that none of these criminal statutes

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Speaker 1: technically require the documents involved to be classified. Now the

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Speaker 1: Espionage Act, in particular, there haven't been cases in the

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Speaker 1: past where the documents weren't classified and there was a

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Speaker 1: charge here, So it would be unusual to have an

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Speaker 1: Espionage Act charge and not have the documents involved be classified. However,

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Speaker 1: it doesn't specifically mention classification in the language. It's actually

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Speaker 1: a lot that predates our system of classification, and so

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Speaker 1: if the classification marketings are sort of considered an indicator

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Speaker 1: that this could be a problem for our national defense,

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Speaker 1: but not necessarily determinative. So that's the big pig. That's

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Speaker 1: why I think it's actually probably worth steing as much

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Speaker 1: as possible on this, which is a lot of people

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Speaker 1: looked at the actual inventory. There were five four separate

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Speaker 1: boxes box ten A, eleven A, thirteen A, and fourteen A,

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Speaker 1: which were labeled as either miscellaneous secret documents, miscellaneous top

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Speaker 1: secret documents, or miscellaneous confidential documents. So the reason that

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Speaker 1: all of that qualification and classification matters is it refers

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Speaker 1: to the various levels of classification. You both have like

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Speaker 1: a normal level of classification secret, top secret, then their

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Speaker 1: special compartmentalized information which is very very classified up into

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Speaker 1: the quote unquote need to know basis. Obviously, the president

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Speaker 1: is the ultimate classification authority, so previously, and we will

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Speaker 1: get to some of Trump's defense where he speaks about

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Speaker 1: classification and how his ability as president of the United

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Speaker 1: States to to de classify supersedes anything. It just bears

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Speaker 1: the fact that all three of the laws that are

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Speaker 1: cited specifically in the search warrant do not necessarily mean

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Speaker 1: the information itself has to be classified. That being said,

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Speaker 1: as you pointed out, these are very novel interpretations of

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Speaker 1: the law, not even interpretation. They have never been tested

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Speaker 1: yet in a court, and especially not been tested against

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Speaker 1: the former president of the United Sat for the Espionage Act.

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Speaker 1: That's the case for the others, obstruction and you know,

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Speaker 1: the one that's like criminalizing the theft or destruction of

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Speaker 1: government documents. That one, you know, it's it's widely accepted

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Speaker 1: that that doesn't have to be classified documents. And I

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Speaker 1: think that they've been charged that way in the past,

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Speaker 1: the Espionage Act one. As I said, the idea is

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Speaker 1: the fact that the documents are classified is an indication

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Speaker 1: to the court that these are documents that are very

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Speaker 1: serious from a national security perspective. But you can imagine

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Speaker 1: the situation where you know, he's doing his So I

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Speaker 1: waved my hand and said they're declassified, but it's information

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Speaker 1: that is clearly extremely censorive. I mean there's some reporting

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Speaker 1: also that some of the documents had to do with

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Speaker 1: our you know, human assets, like intelligence assets overseas, and

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Speaker 1: when they talk about special access programs, this is the

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Speaker 1: type of information that literally no one can sort of

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Speaker 1: take with them. You have to go and view it

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Speaker 1: inside of one of these government skis that are designed

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Speaker 1: for viewing the sorts of sort of sensitive information. So

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Speaker 1: that's what we know about, you know, what was in

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Speaker 1: the inventory list. That's what we know about what the

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Speaker 1: criminal statutes are that they, you know, were able to

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Speaker 1: take to a federal judge and at least convinced that

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Speaker 1: judge that they had likelihood that they would find evidence

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Speaker 1: of these crimes at Mar al Lago. So you've got

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Speaker 1: Espionage Act, You've got obstruction, and then you've got I

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Speaker 1: think that last one isn't not what the one that

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Speaker 1: Trump sort of beefed up because he wanted to do. Yeah,

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Speaker 1: that was section two in the LIBS with regards to Hillary,

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Speaker 1: criminalizing the theft or destruction of government documents. That makes

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Speaker 1: it a crime punishable up to three years in prison

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Speaker 1: for anyone with custody of any record or document from

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Speaker 1: federal court or public office, do willfully and unlawfully concealed,

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Speaker 1: removed meutilighte falls by, or destroy it. I also do

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Speaker 1: think it's worth reading this particular line from the warrant.

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Speaker 1: Agents were authorized to seize quote any government and or

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Speaker 1: presidential records created between January twentieth, twenty seventeen and January twentieth,

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Speaker 1: two twenty one, obviously the dates that Trump was actually

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Speaker 1: president of the United States, as well as quote any

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Speaker 1: evidence of the knowing alteration, destruction, or concealment of any

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Speaker 1: government and or presidential records or any documents with classification markings.

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Speaker 1: So they had a very very wide of basically authority

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Speaker 1: to seize whatever the hell they wanted. Yeah, in between

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Speaker 1: that period, and in terms of the rooms that they

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Speaker 1: were allowed to search, it was basically anything that wasn't

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Speaker 1: you know, where the guests are staying in the sort

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Speaker 1: of like you know, private club part of it, but

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Speaker 1: any place where Trump might have been storing documents his office,

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Speaker 1: the basement in particular, they were authorized to go. And

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Speaker 1: there was also reporting that's come out that they were

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Speaker 1: actually you know, because they have closed circuit TV. They

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Speaker 1: were able to watch the search. Yes, the Trump people

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Speaker 1: from I think he was in New Jersey at Bedminster

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Speaker 1: at that time. So interesting little detail there. Let's talk

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Speaker 1: about the FBI. This is a very serious store. Let's

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Speaker 1: go and put this up there on the screen. Police

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Speaker 1: went ahead and shot dead in armed man who tried

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Speaker 1: to breach the Cincinnati, Ohio FBI building. This was all

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Speaker 1: on Thursday, where an arms standoff ensued where a man

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Speaker 1: approached the FBI building in Cincinnati. He was basically pushed

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Speaker 1: kind of an hour's long standoff eventually culminated in a

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Speaker 1: gun battle, and he was shot dead by police who

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Speaker 1: were on the scene. Later, the suspect was identified as

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Speaker 1: Ricky Shiffer. He's a forty two year old man. Now,

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Speaker 1: mister Shiffer, let's go and put this next one up

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Speaker 1: on the screen. Actually was at the Capitol on January sixth,

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Speaker 1: a diehard Trump supporter. And what has really come out

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Speaker 1: since then is not just his his presence at the

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Speaker 1: Capitol on January sixth, but a series of tweets Crystal

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Speaker 1: that he sent, not tweets sorry for truths that he

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Speaker 1: sent before all of this began. His very last truth

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Speaker 1: actually was this quote, well, I thought I had a

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Speaker 1: way through bulletproof glass. I didn't. If you didn't hear

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Speaker 1: from me, it's true I tried to attack ingim ye FBI.

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Speaker 1: It'll mean either I was taken off the internet, the

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Speaker 1: FBI got me, or they sent the regular cops. Now,

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Speaker 1: in previous truths, what he had said is quote, it

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Speaker 1: won't matter if we don't get violent. We see the

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Speaker 1: courts are unfair and unconstitutional. All that is left is force.

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Speaker 1: And he says I'm having trouble getting information. He was citing,

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Speaker 1: you know, previous YouTubers and others talking about people who

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Speaker 1: are gathering outside of mar A Lagos. I mean, clearly,

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Speaker 1: mister Shiffer was like a diehard. It was not a

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Speaker 1: Trump supporter. He was absolutely all in and I was

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Speaker 1: fighting a war. But this is where things get dicey,

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Speaker 1: and you know, I hope you know. We have a

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Speaker 1: lot of people of varying political stripes who watched this show,

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Speaker 1: and I would just say that there is nothing, you

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Speaker 1: know regarding this situation which is worth you laying down

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Speaker 1: your life, So please don't do that. And unfortunately we

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Speaker 1: have seen let's put this up there on the screen

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Speaker 1: of Ken Klippenstein talking about the FBI and DHS issuing

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Speaker 1: joint intelligence bullets to their entire staff warning of quote

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Speaker 1: the potential for domestic violet dream is to carry out

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Speaker 1: attacks and reaction to the FBI recent execution of a

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Speaker 1: core authorized sort in Palm Beach. We've seen also some

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Speaker 1: targeting of the actual FBI agents who were in charge

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Speaker 1: of the raid itself, and just some other crazy stuff

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Speaker 1: happening here in Washington. I want to be clear at

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Speaker 1: the top, we have no idea of who this guy was,

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Speaker 1: who actually did what I'm about to tell you, but

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Speaker 1: let's put this up there. Overnight over the weekend, a

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Speaker 1: man set his car on fire, drove into the barricade

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Speaker 1: near the US Capitol, very close to where our studio

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Speaker 1: is here right now, started shooting indiscriminately and ultimately shot

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Speaker 1: and killed himself. So went ahead, drove his car into

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Speaker 1: the barricade, shot indiscriminately and ultimately killed himself. Was he

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Speaker 1: a crazy person? Nobody knows ran himself into the barricade. Now,

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Speaker 1: to be clear, it is not uncommon. We've had barricade

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Speaker 1: incidents in the past. We had some Nation of Islam people,

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Speaker 1: you know, like earlier this year and all. So it's

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Speaker 1: not like it doesn't happen at least once or twice

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Speaker 1: a year. But obviously the timing happening so close to

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Speaker 1: what happened with the FBI, everybody's very very high alert. Yeah,

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Speaker 1: I think that, you know, just again, like, look, nothing

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Speaker 1: is worth taking up arms and going to shoot at

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Speaker 1: least you know currently, it probably won't be there ever

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Speaker 1: in our lifetime. More, what I'm saying is that tensions

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Speaker 1: are high. There's a lot of irresponsible rhetoric. And actually

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Speaker 1: I want to call back to what you discussed in

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Speaker 1: our earlier block, which is when Trump conveyed to the

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Speaker 1: Department of Justice, he was like, hey, there's a lot

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Speaker 1: of people who are very upset. How can I quote

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Speaker 1: unquote bring down the heat. I think this may be

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Speaker 1: what he was referring to, because also politically, what do

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Speaker 1: we know, which is that events like January sixth and more.

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Speaker 1: I mean, it's not like it isn't ultimately used against

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Speaker 1: many of the people for the cause that they were

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Speaker 1: supposedly you know, trying to do. It only ignite more

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Speaker 1: of a police state, it only justifies more of a

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Speaker 1: police date. Like ultimately, if your end is to reduce

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Speaker 1: the police date or that is not the impact you

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Speaker 1: were going to have here. Yeah, this guy reportedly showed

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Speaker 1: up at the FBI office with a nail gun and

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Speaker 1: an assault rifle. I guess maybe he thought that nail

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Speaker 1: gun was going to pierce the bulletproof. That's an interesting one. Glass, Yeah,

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Speaker 1: and I do want to I want to read a

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Speaker 1: little bit more of what he posted, because I think

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Speaker 1: it's kind of important. Just like you know, we've dug

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Speaker 1: into the manifesto of that white supremacist killer, and I

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Speaker 1: think it's really important to understand the mindset, and especially

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Speaker 1: when you have right wing commentators who listen. It's a

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Speaker 1: free country. You can say what you say, but the

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Speaker 1: rhetic is wildly irresponsible. But you know, Stephen Crowder out

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Speaker 1: there like tomorrow is war, sleep well, Charlie Kirk saying

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Speaker 1: similar things, really said that yes, terrible. I mean, it's people.

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Speaker 1: You may think it's all a game and that people

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Speaker 1: aren't really taking you that seriously, but this asshole was

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Speaker 1: taking you seriously, and so he was truthing the following

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Speaker 1: He said, people, this is it. I hope a call

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Speaker 1: to arms comes from someone better qualified, but if not,

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Speaker 1: this is your call to arms from me. He goes on,

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Speaker 1: go to the army, Navy store, etc. They've been conditioning

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Speaker 1: us to accept tyranny and think we can't do anything

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Speaker 1: for two years. This time we must respond with force.

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Speaker 1: If you know any protests or attacks, please post here.

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Speaker 1: Somebody replies and says, are you proposing terrorism, to which

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Speaker 1: he said, very important question. No, I am proposing war.

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Speaker 1: Be ready to kill the enemy. Not mass shootings were leftist.

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Speaker 1: Go not lighting buses on fire with transsexuals in them,

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Speaker 1: not finding people with LEFTIS signs in the yards and

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Speaker 1: beating them up. Violence is not all terrorism. Kill the

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Speaker 1: FBI on site, be ready to take down other active

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Speaker 1: enemies of the people and those who try to prevent

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Speaker 1: you from doing it. So all of this over the

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Speaker 1: top rhetoric about this is a civil war and it's

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Speaker 1: seventeen seventy six and sleep well tomorrow's all this stuff.

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Speaker 1: This guy believed you, He believed you and committed an

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Speaker 1: act of terrorism and lace try to murder FBI agents

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Speaker 1: and you know, and yeah, ultimately ended up dead himself.

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Speaker 1: So again I'm a major free speech advocate. We both are.

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Speaker 1: But if you have a platform to discuss, Yeah, if

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Speaker 1: you have a platform, be responsible, think about the people

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Speaker 1: who are listening to you, and hoor taking actually literally

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Speaker 1: seriously the words that are coming out of your mouth. Yeah.

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Speaker 1: I couldn't agree more with that. Yeah, I mean, that's

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Speaker 1: it is important that you read that. People need to understand, like,

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Speaker 1: how deranged. So it's also just always remarkable to me

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Speaker 1: how similar all radical rhetoric actually is. Yeah. You could

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Speaker 1: replace that with like black Panthers in the nineteen seventies. Yeah, yeah, right,

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Speaker 1: really really literally the same thing. Yep. Anyway, look, let's

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Speaker 1: wait for the facts. Let's see what it is. I

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Speaker 1: understand the tensions are high, and if anybody's out there

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Speaker 1: talking about war, shut your mouth, because first of all,

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Speaker 1: you're probably not going to be the one actually doing anything.

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Speaker 1: And it's actual people like this guy. I don't know

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Speaker 1: this guy's story, but you know, I don't want to

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Speaker 1: see anybody die for no good reason. Good morning, everybody,

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

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Speaker 1: What do we have, Crystal? Indeed, we dog were discussing yesterday.

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Speaker 1: It certainly seems like the news comes in waves, tidal

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Speaker 1: waves at times, and it's definitely a feast not a

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Speaker 1: famine moment in terms of news. All kinds of new

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Speaker 1: developments about the various inquiries that Trump and his allies

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Speaker 1: are facing, including Rudy Giuliani being told that he is

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Speaker 1: in fact the target of a probe. We also have

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Speaker 1: interesting back and forth between Trump and the FBI about

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Speaker 1: did they take his passports? Do they still have his passports?

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Speaker 1: What does it all mean? So we will get into that.

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Speaker 1: The Justice Department saying arguing in court that they do

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Speaker 1: not want the affidavit of giving all of the reasons

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Speaker 1: why they wanted to conduct this search. They do not

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Speaker 1: want that release to the public. So we have those details. Also,

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Speaker 1: today is another primary day, a couple of interesting races

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Speaker 1: on the ballot. I'm when we take a look at

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Speaker 1: Sarah Halen and Liz Cheney. We also have some new

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Speaker 1: indications about some of the midterm races. Republicans continuing to

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Speaker 1: struggle with fundraising in a way that is quite surprising,

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Speaker 1: major turnaround from how things were going for them previously,

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Speaker 1: and maybe the most hilarious, unintentionally hilarious campaign video I've

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Speaker 1: ever seen coming from doctor oz O. Boyno, doctor oz Yes,

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Speaker 1: let's just say it involves the word crue de tae.

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Speaker 1: It involves French, which is you're already going on the wrong.

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Speaker 1: Also some interesting info about the housing market. People expect

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Speaker 1: a crash, but actually also a lot of people cheering

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Speaker 1: for a crash who have not been able to buy

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Speaker 1: a home and would like to be able to u

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Speaker 1: And in New York Times endorsement that failed to disclose

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Speaker 1: a major conflict of interests. We also have Jeff Stein

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Speaker 1: on today to break down the Inflation Reduction Act, which

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Speaker 1: has now passed the House and is going to be

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Speaker 1: the law of the land. So dig into all of

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Speaker 1: that now. As Crystal alluded to, when it rains, it pours,

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Speaker 1: it certainly comes with this Trump raid in the FBI.

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Speaker 1: The more details that we are learning. So as we

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Speaker 1: had talked about previously, now we have the search warrant,

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Speaker 1: we have the inventory list, we know it involves some

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Speaker 1: sort of classified documents. We also know that in terms

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Speaker 1: of the three laws that were cited by the FBI

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Speaker 1: and their search warrant, none of the documents SARAI even

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Speaker 1: have to be classified. Simply having the classification markings may

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Speaker 1: be enough in order to violate the Espionage Act. Furthermore,

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Speaker 1: we are also aware by open reporting that the Trump

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Speaker 1: lawyers themselves, at least one lawyer, had signed a message

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Speaker 1: to the FBI in June claiming that all classified marketing

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Speaker 1: documents had been delivered back to the FBI, again opening

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Speaker 1: themselves up for investigation ultimately what led to the search

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Speaker 1: warrant itself. As I said yesterday, part of the problem

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Speaker 1: with the search warrant is we don't know a lot

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Speaker 1: about the facts and the actual investigation that led to

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Speaker 1: said search warrant actually being executed. And as I was saying,

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Speaker 1: I was really hoping we get the affidavit. Well, News

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Speaker 1: organization think like mindedly, all are filing in requests in

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Speaker 1: order for the Department of Justice to release the actual

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Speaker 1: affidavit themselves. And now we are learning from the Department

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Speaker 1: of Justice in their protests of doing so a little

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Speaker 1: bit more about their investigation. Let's throw this up there

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Speaker 1: on the screen. In a new filing that came out

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Speaker 1: late last night, in a response to organization's requests to

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Speaker 1: unse the affidavit, the Department of Justice says that it

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Speaker 1: is objecting to the unsealing of that Trump search warrant.

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Speaker 1: Throw the next one up there on the screen. Please.

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Speaker 1: Part of the reason why that they are objecting is

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Speaker 1: because the FBI affidavit, unless pay very close oftention as

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Speaker 1: language people, makes reference to quote cooperating witnesses, and the

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Speaker 1: DOJ says that their identities need to remain protected. Second,

430
00:22:23,000 --> 00:22:27,040
Speaker 1: the Department of Justice confirms the investigation quote implicates highly

431
00:22:27,280 --> 00:22:31,680
Speaker 1: classified materials. So why do those two things matter? Number

432
00:22:31,680 --> 00:22:35,800
Speaker 1: one in terms of the classification. Obviously it upholds the

433
00:22:35,880 --> 00:22:38,359
Speaker 1: general contours, but they're making it and saying that it

434
00:22:38,400 --> 00:22:41,800
Speaker 1: is in such highly sensitive documents that even describing themselves

435
00:22:41,880 --> 00:22:43,879
Speaker 1: as we saw in the FBI inventory, it just did

436
00:22:43,960 --> 00:22:47,159
Speaker 1: highly classified documents, didn't say anything that it ended of itself,

437
00:22:47,160 --> 00:22:50,159
Speaker 1: they say would threaten national security. But really what I

438
00:22:50,200 --> 00:22:53,280
Speaker 1: think it is is that they said and confirmed that

439
00:22:53,359 --> 00:22:56,479
Speaker 1: they have cooperating well, they didn't confirm their cooperating witnesses,

440
00:22:56,520 --> 00:22:59,399
Speaker 1: but they said unsealing it would cause undue harm to

441
00:22:59,480 --> 00:23:03,080
Speaker 1: any greating witnesses they may have. Gives a significant amount

442
00:23:03,119 --> 00:23:05,560
Speaker 1: of credence to that theory that there is some sort

443
00:23:05,600 --> 00:23:08,520
Speaker 1: of FBI mole rat whatever you want to describe it.

444
00:23:08,800 --> 00:23:10,720
Speaker 1: In the operation. It could be a member of the

445
00:23:10,760 --> 00:23:13,000
Speaker 1: Trump legal team, it could be a secret service as

446
00:23:13,119 --> 00:23:14,760
Speaker 1: it could be any of the number of people who

447
00:23:14,800 --> 00:23:18,240
Speaker 1: are around Donald Trump himself. And then finally some language

448
00:23:18,240 --> 00:23:20,720
Speaker 1: that they used in their objection to the unseiling. The

449
00:23:20,760 --> 00:23:22,880
Speaker 1: third one, let's please put it up there, is that

450
00:23:22,920 --> 00:23:26,840
Speaker 1: they said disclosure of the warrant affidavit would irreparibly harm

451
00:23:26,880 --> 00:23:31,159
Speaker 1: the government's ongoing criminal investigation because there had been some

452
00:23:31,240 --> 00:23:34,840
Speaker 1: speculation here shut Crystal on whether the search warrant was

453
00:23:34,840 --> 00:23:37,960
Speaker 1: an end in and of itself to just seize the documents,

454
00:23:38,320 --> 00:23:42,639
Speaker 1: not part of an ongoing and active criminal investigation. So

455
00:23:42,640 --> 00:23:44,840
Speaker 1: those are I would say, the three main things that

456
00:23:44,840 --> 00:23:46,800
Speaker 1: we have learned from this filing. Yeah, I mean, we're

457
00:23:46,840 --> 00:23:48,600
Speaker 1: trying to read the tea leaves on all this stuff

458
00:23:48,640 --> 00:23:51,000
Speaker 1: as best we can the little bit of limited information.

459
00:23:51,320 --> 00:23:54,520
Speaker 1: It would be so interesting to see all of the

460
00:23:54,560 --> 00:23:57,879
Speaker 1: details of this affidavit, and certainly, as someone who works

461
00:23:57,920 --> 00:24:01,000
Speaker 1: in the news business, I would very much, very much

462
00:24:01,080 --> 00:24:04,960
Speaker 1: love for them to disclose this. Ultimately. It's not surprising though,

463
00:24:05,440 --> 00:24:08,359
Speaker 1: because you know, I think there's there's two considerations. One

464
00:24:08,560 --> 00:24:11,640
Speaker 1: is they don't want to compromise their investigation. They don't

465
00:24:11,680 --> 00:24:14,080
Speaker 1: want Trump and his allies to know exactly how they

466
00:24:14,080 --> 00:24:16,320
Speaker 1: were able to glean all of this information. They certainly

467
00:24:16,320 --> 00:24:19,800
Speaker 1: don't want them to know who the rat or multiple rats,

468
00:24:19,840 --> 00:24:23,200
Speaker 1: what's like the is it a warren of rats? Actually

469
00:24:23,240 --> 00:24:26,959
Speaker 1: don't know. Anyway, they don't want them to know the

470
00:24:27,000 --> 00:24:29,119
Speaker 1: identities of those people. And you mentioned it could be

471
00:24:29,119 --> 00:24:30,680
Speaker 1: someone who's legal team. I mean, the more I think

472
00:24:30,680 --> 00:24:32,800
Speaker 1: about that, the more I wonder if that actually makes

473
00:24:32,840 --> 00:24:35,040
Speaker 1: a lot of sense, because you know, if you think

474
00:24:35,080 --> 00:24:37,479
Speaker 1: about it, they're trying to help him work with it

475
00:24:37,520 --> 00:24:40,680
Speaker 1: through this issue with the National Archives. He's maybe potentially

476
00:24:40,760 --> 00:24:43,280
Speaker 1: telling them like, yeah, of course I cand it over everything,

477
00:24:43,320 --> 00:24:45,879
Speaker 1: and if they discover that that's not the case, they

478
00:24:45,920 --> 00:24:49,240
Speaker 1: could find themselves in potential legal jeopardy. So you may

479
00:24:49,240 --> 00:24:51,600
Speaker 1: have someone involved here who's trying to save their own

480
00:24:51,680 --> 00:24:55,879
Speaker 1: ass by informing on Trump and giving the FBI the

481
00:24:56,000 --> 00:24:59,080
Speaker 1: information that ultimately they put into this affidavit and helped

482
00:24:59,080 --> 00:25:02,600
Speaker 1: to s sure this search warrant. So those are the

483
00:25:02,720 --> 00:25:07,159
Speaker 1: major revelations here. Now it is theoretically possible that the

484
00:25:07,200 --> 00:25:10,720
Speaker 1: judge could say, no, government, I don't agree, We're going

485
00:25:10,800 --> 00:25:13,320
Speaker 1: to go ahead and unseal the affidavit, but that is highly,

486
00:25:13,480 --> 00:25:17,160
Speaker 1: highly unlikely, especially with the government making the case that

487
00:25:17,200 --> 00:25:20,879
Speaker 1: the affidavit should remain sealed. And as I said before,

488
00:25:20,960 --> 00:25:24,280
Speaker 1: I'm not really sure that Trump would also want this

489
00:25:24,400 --> 00:25:28,480
Speaker 1: to be unsealed, because you know, ultimately then you end

490
00:25:28,560 --> 00:25:30,440
Speaker 1: up with a situation where he's sort of being tried

491
00:25:30,440 --> 00:25:33,280
Speaker 1: in the court of public opinion, and affidavit is not

492
00:25:33,359 --> 00:25:35,360
Speaker 1: the same as a trial. There are things in there

493
00:25:35,400 --> 00:25:37,320
Speaker 1: that could turn out to you know, not pan own.

494
00:25:37,400 --> 00:25:40,199
Speaker 1: It may be more suggestive than based on you know,

495
00:25:40,280 --> 00:25:44,159
Speaker 1: concrete here's what we know happened. So so anyway, not

496
00:25:44,240 --> 00:25:46,159
Speaker 1: clear to me that he would really be in favor

497
00:25:46,200 --> 00:25:48,719
Speaker 1: of this being released either. Yeah, affidavits aren't like statements

498
00:25:48,760 --> 00:25:52,199
Speaker 1: of fact. It's like the government's case against somebody in

499
00:25:52,280 --> 00:25:55,159
Speaker 1: a court in order to justify a search warrant. So,

500
00:25:55,240 --> 00:25:57,240
Speaker 1: like he said, it would include no pushback from the

501
00:25:57,240 --> 00:26:00,360
Speaker 1: Trump legal team. It would simply be the ACBI side

502
00:26:00,400 --> 00:26:02,080
Speaker 1: of the story, their entire side of the story. And

503
00:26:02,119 --> 00:26:05,359
Speaker 1: actually I have personally learned the hard way covering terrorism cases.

504
00:26:05,440 --> 00:26:06,760
Speaker 1: I mean, if think about it, if you read the

505
00:26:06,840 --> 00:26:10,880
Speaker 1: Gretchen Whitmer just affidavit, you're like Oh my god, Chris,

506
00:26:10,960 --> 00:26:13,480
Speaker 1: a horrific kidnapping plot going on, and you're like, oh,

507
00:26:13,560 --> 00:26:15,440
Speaker 1: hold on a second here, And by the way, we

508
00:26:15,480 --> 00:26:17,359
Speaker 1: should cover that trial soon in terms of some of

509
00:26:17,359 --> 00:26:20,440
Speaker 1: the stuff that's coming out, even more so about FBI behavior.

510
00:26:20,480 --> 00:26:24,359
Speaker 1: But what's remarkable to me about this is just the admission,

511
00:26:24,680 --> 00:26:28,359
Speaker 1: both on the criminal investigation side and on the cooperating witness.

512
00:26:28,400 --> 00:26:30,399
Speaker 1: I think the fact that I think it was always

513
00:26:30,440 --> 00:26:33,240
Speaker 1: expected that they would not release the affidavit, but by

514
00:26:33,320 --> 00:26:36,360
Speaker 1: objecting to the affidavit and specifically saying why they don't

515
00:26:36,359 --> 00:26:38,120
Speaker 1: want to release it, Yeah, that tells us a little

516
00:26:38,119 --> 00:26:41,159
Speaker 1: bit about what's happening. Also probably confirms honestly. I mean,

517
00:26:41,200 --> 00:26:42,920
Speaker 1: at this point, Christal, we don't know how much more

518
00:26:43,000 --> 00:26:45,040
Speaker 1: is going to come out about this investigation. Is this

519
00:26:45,160 --> 00:26:47,200
Speaker 1: kind of is it at least for the next couple

520
00:26:47,200 --> 00:26:49,760
Speaker 1: of months, barring leaks? Of course, I'm talking at a

521
00:26:49,840 --> 00:26:53,080
Speaker 1: very official level. Probably. There was one other piece of

522
00:26:53,119 --> 00:26:56,160
Speaker 1: reporting I saw come out yesterday from the Wall Street

523
00:26:56,240 --> 00:26:59,520
Speaker 1: Journal that was in direct contradiction to remember that original

524
00:26:59,520 --> 00:27:03,480
Speaker 1: Newsweek report that basically said this whole search was basically

525
00:27:03,560 --> 00:27:07,000
Speaker 1: kind of a freelance operation from the Miami FBI office,

526
00:27:07,080 --> 00:27:09,120
Speaker 1: and they were kind of in a bubble and didn't

527
00:27:09,160 --> 00:27:11,800
Speaker 1: realize this would be so politically explosive. Well, the latest

528
00:27:12,760 --> 00:27:16,080
Speaker 1: information reporting from the Wall Street Journal says no, no, no,

529
00:27:16,440 --> 00:27:19,639
Speaker 1: they weighed this very carefully. Merrick Garland weighed this for

530
00:27:20,000 --> 00:27:23,280
Speaker 1: weeks before he decided to go in, and you know,

531
00:27:23,480 --> 00:27:27,920
Speaker 1: really considered the costs and the benefits and the extraordinary

532
00:27:27,960 --> 00:27:32,000
Speaker 1: measure that this was. So you know, take from that

533
00:27:32,040 --> 00:27:35,159
Speaker 1: what you will. But the very latest indication, which I

534
00:27:35,160 --> 00:27:37,040
Speaker 1: think is backed up by the fact that Merrick Garland

535
00:27:37,080 --> 00:27:39,719
Speaker 1: did give that press conference saying taking ownership and saying no,

536
00:27:39,800 --> 00:27:41,880
Speaker 1: it was I was the one who made this decision.

537
00:27:42,359 --> 00:27:45,520
Speaker 1: I think it backs up, you know that that fact

538
00:27:45,560 --> 00:27:49,359
Speaker 1: and really shows that they definitely thought long and hard

539
00:27:49,480 --> 00:27:52,240
Speaker 1: before they went ahead and did this. Whether you think

540
00:27:52,240 --> 00:27:54,040
Speaker 1: it was ultimately the right call or not, yeah, I

541
00:27:54,040 --> 00:27:58,159
Speaker 1: think that that's right. So anyway, lots of deliberation, confirmation

542
00:27:58,320 --> 00:28:02,879
Speaker 1: about a so called cooperating witnesses the criminal investigation piece. Obviously,

543
00:28:02,960 --> 00:28:05,040
Speaker 1: to be clear, we don't actually know who the target

544
00:28:05,119 --> 00:28:08,639
Speaker 1: of that criminal investigation is. But anyway, take that a

545
00:28:08,640 --> 00:28:12,640
Speaker 1: little bit of a midterm update here for you, interesting

546
00:28:13,320 --> 00:28:17,800
Speaker 1: new details about some honestly quite surprising. Fundraising issues that

547
00:28:17,880 --> 00:28:21,600
Speaker 1: the Republican Senate candidates are having in particular has put

548
00:28:21,600 --> 00:28:24,520
Speaker 1: this up on the screen, so they say. The Senate

549
00:28:24,520 --> 00:28:28,600
Speaker 1: GOP campaign arm slashes TV adviys in three states. In

550
00:28:28,640 --> 00:28:31,159
Speaker 1: a sign that fundraising trouble is taking a serious toll,

551
00:28:31,320 --> 00:28:35,760
Speaker 1: A key political committee cancels AD plans in Arizona, Pennsylvania,

552
00:28:35,800 --> 00:28:40,240
Speaker 1: and Wisconsin. The National Republican Senatorial Committee they have cut

553
00:28:40,280 --> 00:28:43,880
Speaker 1: now more than five million dollars in Pennsylvania, including the

554
00:28:43,960 --> 00:28:48,040
Speaker 1: reservations in the Filly Media market. They've also slashed reservations

555
00:28:48,080 --> 00:28:51,040
Speaker 1: in Wisconsin in the Madison and Green Bay markets. Those

556
00:28:51,080 --> 00:28:54,120
Speaker 1: have been curtailed by more than two million. In Arizona,

557
00:28:54,160 --> 00:28:57,960
Speaker 1: all reservations after September thirtieth have been cut in Phoenix

558
00:28:58,000 --> 00:29:00,920
Speaker 1: and Tucson, that is the state's only two your media markets,

559
00:29:01,120 --> 00:29:04,360
Speaker 1: mounting to roughly two million dollars. More. So far, around

560
00:29:04,440 --> 00:29:07,520
Speaker 1: ten million dollars has been canceled. As of midday Monday,

561
00:29:07,600 --> 00:29:10,840
Speaker 1: the more changes to the fall reservations were in progress now.

562
00:29:11,120 --> 00:29:15,320
Speaker 1: In fairness, the response from the Republican Senatorial Committee was

563
00:29:15,320 --> 00:29:18,360
Speaker 1: basically like, look, we're not canceling these, We're moving money around,

564
00:29:18,400 --> 00:29:22,560
Speaker 1: were reallocating whatever, But if you look overall, it's pretty

565
00:29:22,560 --> 00:29:24,800
Speaker 1: clear that they've pulled back from the amount that they

566
00:29:24,840 --> 00:29:27,840
Speaker 1: are spending in these states and in these media markets.

567
00:29:28,120 --> 00:29:30,600
Speaker 1: This comes on the heels of another report that we

568
00:29:30,640 --> 00:29:33,520
Speaker 1: had covered here as well that showed that the total

569
00:29:33,560 --> 00:29:38,280
Speaker 1: amount of online donations to Republican candidates direct can so

570
00:29:38,360 --> 00:29:41,080
Speaker 1: not to the Senatorial Committee but directly to the candidates,

571
00:29:41,320 --> 00:29:44,040
Speaker 1: has actually been falling. So it fell by more than

572
00:29:44,080 --> 00:29:47,760
Speaker 1: twelve percent in the second quarter compared with the first quarter,

573
00:29:47,880 --> 00:29:50,880
Speaker 1: according to an analysis of win read. That's the main

574
00:29:51,040 --> 00:29:55,640
Speaker 1: online Republican fundraising platform, and that's very unusual. Usually as

575
00:29:55,680 --> 00:29:58,760
Speaker 1: you get closer to an election, online donations go up

576
00:29:58,800 --> 00:30:00,760
Speaker 1: and up and up, so the fact that in the

577
00:30:00,760 --> 00:30:03,960
Speaker 1: second quarter they saw them fall off was quite significant.

578
00:30:04,120 --> 00:30:07,400
Speaker 1: Republicans said, well, it's inflation, it's a bad economy, so

579
00:30:07,480 --> 00:30:11,719
Speaker 1: of course our people are getting hit. However, democratic contributions

580
00:30:11,760 --> 00:30:14,160
Speaker 1: at the same time searched and Democrats are living in

581
00:30:14,200 --> 00:30:17,960
Speaker 1: the same country with the same economy, their contributions on

582
00:30:18,040 --> 00:30:20,720
Speaker 1: Act Blue jumped by more than twenty one percent. So

583
00:30:21,080 --> 00:30:23,480
Speaker 1: I suppose when you look at this entire picture, it

584
00:30:23,520 --> 00:30:26,920
Speaker 1: seems pretty clear that they're having some fundraising struggles, and

585
00:30:26,960 --> 00:30:29,280
Speaker 1: to tie it back, Sager to what we're talking about

586
00:30:29,280 --> 00:30:32,600
Speaker 1: with Trump potentially announcing for president before the midterms. Part

587
00:30:32,640 --> 00:30:36,160
Speaker 1: of their issue is that he sucks up so much

588
00:30:36,240 --> 00:30:39,920
Speaker 1: of the online fundraising. He's a total pig when it

589
00:30:39,960 --> 00:30:43,360
Speaker 1: comes to like, you know, it's super greedy, abusing. Yeah,

590
00:30:43,440 --> 00:30:47,040
Speaker 1: doesn't dole it out, really hitting those fundraising lists over

591
00:30:47,080 --> 00:30:49,600
Speaker 1: and over and over again, and has so centered the

592
00:30:49,600 --> 00:30:52,880
Speaker 1: party around the person of himself that, Yeah, that's where

593
00:30:52,880 --> 00:30:56,480
Speaker 1: the grassroots base is overwhelmingly giving. And you can only

594
00:30:56,520 --> 00:31:00,000
Speaker 1: imagine that if he does announce for president before the midterm, elone,

595
00:31:00,680 --> 00:31:04,040
Speaker 1: that's only going to, you know, only going to exacerbate

596
00:31:04,120 --> 00:31:06,000
Speaker 1: some of the fundraising issues that the rest of the

597
00:31:06,000 --> 00:31:08,400
Speaker 1: party is having right now. Yeah, And actually Politico had

598
00:31:08,400 --> 00:31:10,560
Speaker 1: a story out this morning where they say that the

599
00:31:10,600 --> 00:31:14,640
Speaker 1: midterm election campaign and the nrsc's decision to cancel millions

600
00:31:14,640 --> 00:31:18,040
Speaker 1: of dollars is actually also a commentary on the inability

601
00:31:18,120 --> 00:31:21,960
Speaker 1: of states like Ohio, Pennsylvania, and North Carolina to raise

602
00:31:22,160 --> 00:31:25,040
Speaker 1: enough money. So essentially what they're saying is that jd Vance,

603
00:31:25,480 --> 00:31:30,040
Speaker 1: Doug Mastriano and sorry Doug Mastriano and doctor Oz and

604
00:31:30,160 --> 00:31:33,400
Speaker 1: also in North Carolina are not raising enough money on

605
00:31:33,440 --> 00:31:36,000
Speaker 1: their own and so they need to be able to

606
00:31:36,000 --> 00:31:38,720
Speaker 1: pull money away from other states and slash budgets so

607
00:31:38,760 --> 00:31:41,200
Speaker 1: that they can bombard the airwaves. Yeah, and this has

608
00:31:41,240 --> 00:31:43,640
Speaker 1: never happened before. It's also the case that they shouldn't

609
00:31:43,640 --> 00:31:46,120
Speaker 1: have had to spend money in Ohio. I mean, Ohio

610
00:31:46,120 --> 00:31:48,000
Speaker 1: should have been a gimme. They shouldn't have had to

611
00:31:48,120 --> 00:31:51,040
Speaker 1: worry about that state they're having to worry about, you know,

612
00:31:51,080 --> 00:31:53,720
Speaker 1: they're having to pour more resources into a place like Georgia.

613
00:31:53,760 --> 00:31:55,760
Speaker 1: That also, frankly, in a year like this should have

614
00:31:55,800 --> 00:31:58,440
Speaker 1: been a gimme, even with an incumbent democrat in place.

615
00:31:58,520 --> 00:32:01,760
Speaker 1: Right now, so the fact that you know, their candidates

616
00:32:01,800 --> 00:32:05,560
Speaker 1: have dramatically underperformed both in terms of their positioning with

617
00:32:05,600 --> 00:32:08,400
Speaker 1: the electorate but also in terms of their fundraising ability

618
00:32:08,680 --> 00:32:11,600
Speaker 1: has put them in a bit of a squeeze. I

619
00:32:11,640 --> 00:32:14,640
Speaker 1: think also the fact that a number of these candidates

620
00:32:15,080 --> 00:32:19,320
Speaker 1: have no electoral experience, so they haven't built out, they

621
00:32:19,360 --> 00:32:22,400
Speaker 1: haven't done fundraising before. And just like anything else, political

622
00:32:22,400 --> 00:32:25,680
Speaker 1: fundraising is a skill. It takes time to learn. It's

623
00:32:25,840 --> 00:32:28,360
Speaker 1: really sucks having, you know, being someone who dialed for

624
00:32:28,440 --> 00:32:30,960
Speaker 1: dollars long ago. I can tell you it is no

625
00:32:31,040 --> 00:32:34,200
Speaker 1: fund to do whatsoever. But it takes time to like

626
00:32:34,320 --> 00:32:38,520
Speaker 1: build out those specific political donor networks. And so if

627
00:32:38,560 --> 00:32:40,920
Speaker 1: you have all of this slate of brand new candidates

628
00:32:40,960 --> 00:32:43,200
Speaker 1: who have never done this before, you know, there are

629
00:32:43,240 --> 00:32:46,360
Speaker 1: other advantages to having outsiders who don't have a sort

630
00:32:46,400 --> 00:32:49,560
Speaker 1: of like electoral track record in that baggage. But one

631
00:32:49,600 --> 00:32:53,160
Speaker 1: of the downsides of going with these sorts of candidates

632
00:32:53,240 --> 00:32:57,040
Speaker 1: is they don't have established sort of networks and establish

633
00:32:57,160 --> 00:32:59,760
Speaker 1: abilities in fundraising. And I think that is a drag

634
00:32:59,800 --> 00:33:01,440
Speaker 1: on thee That's the point Kyle Condact made. I think

635
00:33:01,480 --> 00:33:03,080
Speaker 1: it's an excellent point. You know, at the same time,

636
00:33:03,200 --> 00:33:06,600
Speaker 1: Democrats are washing cash, like a lot of cash in

637
00:33:06,680 --> 00:33:10,120
Speaker 1: many of these specific states and are hitting Republicans where

638
00:33:10,120 --> 00:33:12,520
Speaker 1: it hurts. Really interesting story here, let's put this up there,

639
00:33:12,720 --> 00:33:15,360
Speaker 1: which is that in all of the battleground states, Democrats

640
00:33:15,400 --> 00:33:18,840
Speaker 1: are going all in on abortion in terms of their messaging,

641
00:33:19,160 --> 00:33:21,840
Speaker 1: as basically we predicted here on this show. And given

642
00:33:21,880 --> 00:33:25,280
Speaker 1: the results of what happened in Kansas and in many

643
00:33:25,280 --> 00:33:27,640
Speaker 1: of the special elections that we have now seen, it

644
00:33:27,760 --> 00:33:30,320
Speaker 1: seems like a good choice. And you'll see there there's

645
00:33:30,480 --> 00:33:35,000
Speaker 1: four different screenshots from ads in Arizona blanketing the ads

646
00:33:35,240 --> 00:33:39,880
Speaker 1: space in Blake Masters, who had previously alluded to wanting

647
00:33:40,120 --> 00:33:42,600
Speaker 1: a national ban on abortion. I think he's going to

648
00:33:42,640 --> 00:33:44,960
Speaker 1: come to regret that one. In terms of his messaging.

649
00:33:45,000 --> 00:33:48,520
Speaker 1: Tutor Dixon, who is the so called, you know, moderate nominee,

650
00:33:49,040 --> 00:33:51,760
Speaker 1: she has said previously she doesn't want any exceptions for

651
00:33:51,880 --> 00:33:54,200
Speaker 1: rape or incests in an abortion law, and they are

652
00:33:54,200 --> 00:33:57,920
Speaker 1: of course putting that and highlighting that. Doug Mastriano specifically

653
00:33:57,920 --> 00:34:01,440
Speaker 1: saying in May quote my body might choice is ridiculous nonsense,

654
00:34:01,720 --> 00:34:05,960
Speaker 1: and they're calling him, Doug Mastriano, make all abortion illegal,

655
00:34:06,280 --> 00:34:10,359
Speaker 1: and even in Alaska saying Alaskan should have a right

656
00:34:10,400 --> 00:34:12,640
Speaker 1: to choose, Alaska being probably a much more kind of

657
00:34:12,719 --> 00:34:16,000
Speaker 1: libertarian type state. But really it just shows you that

658
00:34:16,200 --> 00:34:20,160
Speaker 1: across all of these states, all swings, all of them

659
00:34:20,320 --> 00:34:24,320
Speaker 1: are immediately picking on abortion is their top issue that

660
00:34:24,360 --> 00:34:28,200
Speaker 1: they're spending money that apparently, even with Michigan and Tutor Dixon,

661
00:34:28,239 --> 00:34:31,840
Speaker 1: they're not talking about election conspiracy nothing. It's just all abortion.

662
00:34:31,960 --> 00:34:35,560
Speaker 1: Georgia they're doing the same thing, and Arizona, and yeah,

663
00:34:35,600 --> 00:34:37,560
Speaker 1: Arizona and Pennsylvania. I think are they're going to be

664
00:34:37,760 --> 00:34:41,080
Speaker 1: the most significant given Arizona, of course is a conservative state,

665
00:34:41,160 --> 00:34:43,400
Speaker 1: you know, but also went for Biden. But as I

666
00:34:43,440 --> 00:34:44,919
Speaker 1: alluded to, you know, are going to have a little

667
00:34:44,920 --> 00:34:48,440
Speaker 1: bit more of a libertarian ethos. Pennsylvania also, I mean

668
00:34:48,440 --> 00:34:51,160
Speaker 1: a true actual swing and that is where a place

669
00:34:51,560 --> 00:34:55,839
Speaker 1: like that to say actually no exceptions whatsoever. That's just look,

670
00:34:55,920 --> 00:34:58,120
Speaker 1: no matter how you feel in terms of public opinion,

671
00:34:58,200 --> 00:35:00,480
Speaker 1: that does not track with public opinion. Yeah, that is

672
00:35:00,480 --> 00:35:03,879
Speaker 1: a an issue, extremely fringe view. Yeah, and the case

673
00:35:03,920 --> 00:35:07,560
Speaker 1: that they're making, the sort of like broader portrait they're

674
00:35:07,560 --> 00:35:10,600
Speaker 1: trying to paint is like, you know, look, guys, you

675
00:35:10,680 --> 00:35:13,799
Speaker 1: might not be thrilled with the Biden administration and how

676
00:35:13,840 --> 00:35:16,720
Speaker 1: the economy is going right now, but these people are crazy,

677
00:35:16,960 --> 00:35:19,600
Speaker 1: like they are out there. They are way too extreme.

678
00:35:19,840 --> 00:35:23,200
Speaker 1: They are sort of idy lugs and zealots. And so

679
00:35:23,440 --> 00:35:27,799
Speaker 1: abortion is the entree to making that larger case that

680
00:35:27,920 --> 00:35:30,120
Speaker 1: you know, these candidates are are way too out of

681
00:35:30,120 --> 00:35:33,239
Speaker 1: the mainstream for you to ultimately elect. Just to give

682
00:35:33,280 --> 00:35:35,000
Speaker 1: you some of the numbers on this, because I do

683
00:35:35,080 --> 00:35:39,200
Speaker 1: think it's really interesting. Democrats have spent nearly eight times

684
00:35:39,239 --> 00:35:42,520
Speaker 1: as much as Republicans on ads talking about abortion. Thirty

685
00:35:42,560 --> 00:35:45,759
Speaker 1: one point nine million dollars just this far spent on

686
00:35:45,920 --> 00:35:48,360
Speaker 1: abortion ads, compared with four point two million on the

687
00:35:48,360 --> 00:35:52,040
Speaker 1: Republican side, and in the closest Senate in governor's contest,

688
00:35:52,200 --> 00:35:57,160
Speaker 1: Republicans have spent virtually nothing countering the Democrats offensive. Now.

689
00:35:57,760 --> 00:36:00,600
Speaker 1: I've seen Democrats make this mistake in the past, where

690
00:36:00,719 --> 00:36:03,640
Speaker 1: they're getting hit on an issue that they're taking on water.

691
00:36:03,680 --> 00:36:05,920
Speaker 1: I think CRT is a good example of that, and

692
00:36:06,000 --> 00:36:08,480
Speaker 1: they just try to like, let's not talk about it.

693
00:36:08,480 --> 00:36:11,000
Speaker 1: It doesn't work well, Like, you have to respond, you

694
00:36:11,040 --> 00:36:12,480
Speaker 1: have to give your side of the story, you have

695
00:36:12,520 --> 00:36:14,400
Speaker 1: to lay on No, here's what my actual views are,

696
00:36:14,480 --> 00:36:16,200
Speaker 1: Here's why that's wrong, or here's why I believe what

697
00:36:16,239 --> 00:36:19,440
Speaker 1: I believe. Just sort of staying quiet on this and

698
00:36:19,520 --> 00:36:21,960
Speaker 1: hoping it goes away. I don't think is going to

699
00:36:22,000 --> 00:36:24,600
Speaker 1: be a good strategy here. And a lot of what

700
00:36:24,640 --> 00:36:28,480
Speaker 1: they're doing in these campaigns is they're using these abortion

701
00:36:28,640 --> 00:36:32,279
Speaker 1: ads as like the opening message, so to define these

702
00:36:32,360 --> 00:36:35,920
Speaker 1: candidates out of the gates as like these people are extreme,

703
00:36:36,360 --> 00:36:38,680
Speaker 1: and then they move on to whatever the broader case

704
00:36:38,760 --> 00:36:41,279
Speaker 1: is that they ultimately want to make. I thought it

705
00:36:41,320 --> 00:36:44,080
Speaker 1: was interesting that a quote here from Anna Greenberg. She's

706
00:36:44,120 --> 00:36:46,440
Speaker 1: a Democratic polster, but the way she phrases it is

707
00:36:46,840 --> 00:36:48,960
Speaker 1: rarely has an issue been handed on a silver platter

708
00:36:49,040 --> 00:36:51,319
Speaker 1: to Democrats. That is so clear cut. It took an

709
00:36:51,320 --> 00:36:53,400
Speaker 1: election that was going to be mostly about inflation and

710
00:36:53,440 --> 00:36:57,760
Speaker 1: immigration and made it also about abortion, and the pulling

711
00:36:57,800 --> 00:37:01,400
Speaker 1: at this point is really clear that there was a

712
00:37:01,440 --> 00:37:04,839
Speaker 1: shift after the Dobbs decision, and this is a very

713
00:37:04,840 --> 00:37:07,680
Speaker 1: different race than it was before the Dobbs decision. The

714
00:37:07,719 --> 00:37:10,560
Speaker 1: generic ballot is basically tied. You have a much better

715
00:37:10,680 --> 00:37:13,160
Speaker 1: chance of Democrats being able to hold onto the Senate.

716
00:37:13,600 --> 00:37:16,080
Speaker 1: I still would maintain, given how the polls have been

717
00:37:16,120 --> 00:37:19,880
Speaker 1: biased against Republicans and in favor of Democrats, that Republicans

718
00:37:19,880 --> 00:37:22,640
Speaker 1: are still very much the favorite, that the landscape still

719
00:37:22,719 --> 00:37:27,560
Speaker 1: very much favors them. But Democrats, in a rare act

720
00:37:27,640 --> 00:37:30,640
Speaker 1: of political intelligence, have done a few things that have

721
00:37:30,760 --> 00:37:32,919
Speaker 1: given them a long shot chance to have a better

722
00:37:32,960 --> 00:37:35,120
Speaker 1: minterm than was previously expected. I think that's right. So,

723
00:37:35,160 --> 00:37:37,080
Speaker 1: although it doesn't take a genius to figure this one

724
00:37:37,120 --> 00:37:40,360
Speaker 1: out looking at pulling data, buddy, listen, that hasn't stopped

725
00:37:40,400 --> 00:37:42,560
Speaker 1: them before, Yes, they have. You know, in the path,

726
00:37:42,600 --> 00:37:44,879
Speaker 1: gone out of their way to do the dumbest possible thing,

727
00:37:45,080 --> 00:37:47,960
Speaker 1: So we'll give them, we'll damn them with fad praise here, okay,

728
00:37:48,000 --> 00:37:49,839
Speaker 1: And this is a little bit of a look at

729
00:37:49,880 --> 00:37:53,120
Speaker 1: why the Republicans are having some issues here because I

730
00:37:53,160 --> 00:37:56,440
Speaker 1: can see you to maintain this election when you look

731
00:37:56,480 --> 00:37:58,919
Speaker 1: at it, like the further you step back and look

732
00:37:58,960 --> 00:38:01,920
Speaker 1: at the macro so you know, oh, the economy, inflation,

733
00:38:02,000 --> 00:38:04,839
Speaker 1: wrong track around Biden's approval numbers, and where you're like, oh,

734
00:38:04,880 --> 00:38:07,000
Speaker 1: Republicans are going to just clean up. It's going to

735
00:38:07,080 --> 00:38:09,880
Speaker 1: be a shellacking. And the closer you zoom in at

736
00:38:09,880 --> 00:38:13,000
Speaker 1: the actual races and the actual candidates, and where you're like, oh,

737
00:38:13,200 --> 00:38:18,080
Speaker 1: this is not going too well. All right, let's talk

738
00:38:18,080 --> 00:38:20,959
Speaker 1: about housing. This is a hilarious study, Crystal. You found.

739
00:38:21,000 --> 00:38:23,200
Speaker 1: Let's put this up there on the screen, which is

740
00:38:23,239 --> 00:38:25,400
Speaker 1: that right now we're obviously in the middle of a

741
00:38:25,480 --> 00:38:28,080
Speaker 1: housing slow down, and it turns out that a lot

742
00:38:28,080 --> 00:38:30,600
Speaker 1: of people are actually pretty happy about that. So right now,

743
00:38:30,760 --> 00:38:33,840
Speaker 1: seventy eight percent of Americans expect to have a housing

744
00:38:34,120 --> 00:38:37,160
Speaker 1: market crash. This is according to the latest Consumer Affairs Study,

745
00:38:37,200 --> 00:38:40,439
Speaker 1: which is a major consumer information service that businesses buy

746
00:38:40,520 --> 00:38:43,840
Speaker 1: in order to tell what consumer sentiment is. However, sixty

747
00:38:43,880 --> 00:38:47,640
Speaker 1: three percent of those people actually want to see a

748
00:38:47,719 --> 00:38:51,200
Speaker 1: housing crash. And if you dig deeper, seventy five percent

749
00:38:51,239 --> 00:38:55,040
Speaker 1: of people say they have cash stored away to buy

750
00:38:55,080 --> 00:38:59,040
Speaker 1: a house should the market crash, they actually have it

751
00:38:59,160 --> 00:39:03,759
Speaker 1: actual crash savings account. Dig even deeper than that, and

752
00:39:03,800 --> 00:39:06,920
Speaker 1: you find that the youngest generation of adults, Generation Z,

753
00:39:07,600 --> 00:39:11,279
Speaker 1: is actually the most eager for the crash. Eighty four

754
00:39:11,520 --> 00:39:15,279
Speaker 1: percent are hoping for housing crash and actually have some

755
00:39:15,440 --> 00:39:18,720
Speaker 1: money that is saved up specifically in order to try

756
00:39:18,960 --> 00:39:22,480
Speaker 1: and take advantage should this all happen. And look, perhaps

757
00:39:22,560 --> 00:39:24,279
Speaker 1: they will get their wish. Let's put this up there

758
00:39:24,480 --> 00:39:26,759
Speaker 1: that US home builder confidence right now is at the

759
00:39:26,800 --> 00:39:30,560
Speaker 1: worst slump since two thousand and seven. As I actually

760
00:39:30,600 --> 00:39:33,360
Speaker 1: have said before, that's a big problem because home builder

761
00:39:33,480 --> 00:39:36,800
Speaker 1: confidence means that people who are let's say, like halfway

762
00:39:36,800 --> 00:39:39,719
Speaker 1: through a project may actually not finish their project. And

763
00:39:39,760 --> 00:39:42,239
Speaker 1: if they don't finish their project, then we are going

764
00:39:42,280 --> 00:39:45,520
Speaker 1: to continue to having massive housing shortage across the nation.

765
00:39:45,640 --> 00:39:47,279
Speaker 1: But I just think it's I mean, when is the

766
00:39:47,360 --> 00:39:49,880
Speaker 1: last time that you've had a sizeable chunk of Americans

767
00:39:49,920 --> 00:39:52,280
Speaker 1: who are like, no, I want these markets to crash,

768
00:39:52,280 --> 00:39:54,919
Speaker 1: and I think it's because of the disparate ownership, which

769
00:39:54,960 --> 00:39:58,680
Speaker 1: is predominantly it's the wealth class and boomers who hold property.

770
00:39:58,719 --> 00:40:01,320
Speaker 1: Everybody else is frozen out of the market or frozen

771
00:40:01,600 --> 00:40:05,000
Speaker 1: out far more so than they have been in previous generations.

772
00:40:05,000 --> 00:40:06,759
Speaker 1: So they're like, yeah, screw you, I want this thing

773
00:40:06,960 --> 00:40:09,520
Speaker 1: to crash so that I can buy in. And especially

774
00:40:09,520 --> 00:40:11,640
Speaker 1: gen Z. I mean, for gen Z, they don't have

775
00:40:11,640 --> 00:40:14,920
Speaker 1: a chance of buying a house like realistically, on average,

776
00:40:15,480 --> 00:40:18,720
Speaker 1: even if you live in you know, like a normal

777
00:40:18,760 --> 00:40:24,040
Speaker 1: metropolitan area, it is just mostly unattainable without decades of savings.

778
00:40:24,080 --> 00:40:26,120
Speaker 1: And if you have student debt or credit card debt,

779
00:40:26,160 --> 00:40:28,480
Speaker 1: it's almost entirely out of the question. Yeah, I mean

780
00:40:28,520 --> 00:40:31,920
Speaker 1: this is becoming the real dividing the real class dividing

781
00:40:31,960 --> 00:40:34,919
Speaker 1: line is, you know, asset owners and not And of course,

782
00:40:34,960 --> 00:40:38,200
Speaker 1: the primary asset that most Americans own is a home.

783
00:40:38,800 --> 00:40:41,279
Speaker 1: If you aren't able to get your foot in that

784
00:40:41,840 --> 00:40:45,160
Speaker 1: door of home ownership, it becomes very difficult for you

785
00:40:45,239 --> 00:40:47,759
Speaker 1: to sort of establish that, you know, a base of

786
00:40:47,760 --> 00:40:50,760
Speaker 1: some sort of net wealth, a base of financial middle

787
00:40:50,800 --> 00:40:55,520
Speaker 1: class or working class stability, and so I have been wondering,

788
00:40:55,680 --> 00:40:58,160
Speaker 1: as we've been covering the housing market a lot here,

789
00:40:58,200 --> 00:41:01,120
Speaker 1: as you guys know, I've actually been wondering about these

790
00:41:01,200 --> 00:41:03,640
Speaker 1: numbers of like, how many people are listening to this

791
00:41:03,800 --> 00:41:08,080
Speaker 1: and hoping that the housing prices and the market crashes,

792
00:41:08,280 --> 00:41:11,440
Speaker 1: because then that gives them some hope and possibility that

793
00:41:11,480 --> 00:41:13,919
Speaker 1: they will be able to, at some point in their

794
00:41:13,960 --> 00:41:17,359
Speaker 1: life also buy a home and have the stability that

795
00:41:17,480 --> 00:41:20,080
Speaker 1: can come with that. And now we have the numbers

796
00:41:20,120 --> 00:41:21,920
Speaker 1: to back it up. So I did think that was

797
00:41:21,920 --> 00:41:24,120
Speaker 1: really interesting. I mean, the problem, of course, is that

798
00:41:24,600 --> 00:41:27,759
Speaker 1: the reason that the housing market is falling off and

799
00:41:27,800 --> 00:41:31,600
Speaker 1: you have this, you know, homebuilder sentiment at the lowest

800
00:41:31,680 --> 00:41:34,360
Speaker 1: level since the housing market collapsed in two thousand and seven,

801
00:41:35,040 --> 00:41:37,440
Speaker 1: is because as the Fed hikes rates, the thing that

802
00:41:37,520 --> 00:41:39,840
Speaker 1: is most sensitive to it is the mortgage rates. And

803
00:41:39,880 --> 00:41:42,839
Speaker 1: as the mortgage rates go up, Yeah, the top line

804
00:41:42,920 --> 00:41:45,200
Speaker 1: number might be going down, but in terms of your

805
00:41:45,239 --> 00:41:48,680
Speaker 1: monthly payment, that is going up and up. So it's

806
00:41:48,800 --> 00:41:52,239
Speaker 1: really you know, even if the market continues to go

807
00:41:52,320 --> 00:41:56,000
Speaker 1: down and have problems and housing overall the sales price

808
00:41:56,040 --> 00:41:59,440
Speaker 1: becomes more affordable, it doesn't necessarily mean that it's going

809
00:41:59,480 --> 00:42:01,000
Speaker 1: to be easier for you to get your foot in

810
00:42:01,040 --> 00:42:04,240
Speaker 1: the door. And then the other problem here, of course,

811
00:42:04,400 --> 00:42:06,759
Speaker 1: is that you know, the real issues we have in

812
00:42:06,800 --> 00:42:10,480
Speaker 1: our economy are about supply, about a lack of supply,

813
00:42:10,640 --> 00:42:12,600
Speaker 1: and that is certainly the case in the housing market,

814
00:42:12,600 --> 00:42:15,680
Speaker 1: where we have not built sufficient housing stock, especially post

815
00:42:15,719 --> 00:42:20,560
Speaker 1: the last financial crash, to accommodate a large and growing population.

816
00:42:21,200 --> 00:42:23,919
Speaker 1: When you have those interest rates going up, you have

817
00:42:24,000 --> 00:42:28,320
Speaker 1: a slump in home building, and that then again exacerbates

818
00:42:28,360 --> 00:42:31,840
Speaker 1: the price and the shortage in the home supply market.

819
00:42:32,200 --> 00:42:35,359
Speaker 1: So there's a lot of complicating factors here that make

820
00:42:35,400 --> 00:42:38,160
Speaker 1: it unlikely that even if the market really does crash,

821
00:42:38,239 --> 00:42:40,319
Speaker 1: unless you're in a position it just plunk down, you know,

822
00:42:40,400 --> 00:42:43,120
Speaker 1: five hundred k in cash, that you're still going to

823
00:42:43,120 --> 00:42:46,080
Speaker 1: be in a very difficult position when it comes to

824
00:42:46,280 --> 00:42:49,440
Speaker 1: acquiring a home. And I think that is reflected in

825
00:42:49,480 --> 00:42:52,640
Speaker 1: the concerns of renters as well. Ninety one percent of

826
00:42:52,680 --> 00:42:56,080
Speaker 1: them fear that increased mortgage rates will price them out

827
00:42:56,160 --> 00:42:59,520
Speaker 1: of the home buying market. So yeah, I mean that

828
00:42:59,600 --> 00:43:02,840
Speaker 1: is definitely the case. Yeah, I mean your caution is warranted,

829
00:43:02,880 --> 00:43:04,920
Speaker 1: which is that, yeah, look, the price may come down like,

830
00:43:04,960 --> 00:43:06,480
Speaker 1: how are you supposed to afford it if the price

831
00:43:06,520 --> 00:43:09,160
Speaker 1: does go down? Do you have enough cash to make

832
00:43:09,200 --> 00:43:10,920
Speaker 1: sure that you don't do that? Otherwise you end up

833
00:43:10,920 --> 00:43:13,640
Speaker 1: paying hundreds of thousands of dollars in interests, and just

834
00:43:13,680 --> 00:43:16,200
Speaker 1: because you may have You know, people said that average

835
00:43:16,239 --> 00:43:18,799
Speaker 1: person has like fifteen grand, or some people who are

836
00:43:18,800 --> 00:43:21,600
Speaker 1: saving for a house have something like fifteen grand saved away.

837
00:43:21,640 --> 00:43:23,239
Speaker 1: I mean, how are you supposed to make any sort

838
00:43:23,280 --> 00:43:26,319
Speaker 1: of down payment with only fifteen thousand dollars or even

839
00:43:26,320 --> 00:43:28,800
Speaker 1: twenty nine thousand dollars, which is that the on average

840
00:43:28,800 --> 00:43:31,759
Speaker 1: for anybody who's not gen Z. So look, it's a

841
00:43:31,800 --> 00:43:34,719
Speaker 1: cluster basically all the way around. Because at the same time,

842
00:43:34,719 --> 00:43:37,160
Speaker 1: I mean, you don't want retirees to see their main

843
00:43:37,960 --> 00:43:40,719
Speaker 1: source of wealth just dwindle away, possibly what they were

844
00:43:40,719 --> 00:43:42,839
Speaker 1: betting on in order to make sure that they didn't

845
00:43:42,880 --> 00:43:45,239
Speaker 1: have to work anymore. So all the way, it's just

846
00:43:45,280 --> 00:43:49,120
Speaker 1: not good. The solution generally is actually probably lower rates

847
00:43:49,120 --> 00:43:51,920
Speaker 1: and just a ton more housing. How you achieve that

848
00:43:52,360 --> 00:43:56,120
Speaker 1: without also feeding the wealth gap? I genuinely hit seven nos.

849
00:43:55,960 --> 00:43:59,279
Speaker 1: It it's keep the rates low than mortgages so people

850
00:43:59,280 --> 00:44:02,920
Speaker 1: can affordable, right, and then you need an addition to

851
00:44:03,160 --> 00:44:06,799
Speaker 1: the government help in terms of securing a mortgage. You

852
00:44:06,800 --> 00:44:09,000
Speaker 1: also need some help with that initial down payment so

853
00:44:09,000 --> 00:44:10,680
Speaker 1: that it's not just people of rich parents who are

854
00:44:10,719 --> 00:44:12,600
Speaker 1: like fronting their down payment that can get a house.

855
00:44:13,040 --> 00:44:17,000
Speaker 1: And then you need rules basically blocking permanent capital from

856
00:44:17,040 --> 00:44:20,440
Speaker 1: buying up the existing available housing stock, because that's the

857
00:44:20,480 --> 00:44:22,520
Speaker 1: other problem. And as you said, you need to build

858
00:44:22,560 --> 00:44:25,760
Speaker 1: a whole lot more housing. So I guess the bottom

859
00:44:25,800 --> 00:44:27,719
Speaker 1: line here is, you know, the same world of the

860
00:44:27,760 --> 00:44:30,160
Speaker 1: story that we have a lot of times when we

861
00:44:30,160 --> 00:44:32,280
Speaker 1: talk about the FED, which is that like the FED

862
00:44:32,719 --> 00:44:35,480
Speaker 1: messing around with interest rates is not going to fix

863
00:44:35,520 --> 00:44:37,840
Speaker 1: the problems in the housing market. They don't have the

864
00:44:37,880 --> 00:44:41,000
Speaker 1: tools at their disposal to you know, create a lot

865
00:44:41,040 --> 00:44:44,560
Speaker 1: more housing stock, to help people get that initial down payment,

866
00:44:44,640 --> 00:44:48,080
Speaker 1: to block private equity and other permanent capital for buying

867
00:44:48,160 --> 00:44:50,719
Speaker 1: up entire communities so that you know, they're able to

868
00:44:50,719 --> 00:44:53,680
Speaker 1: come in with all cash and basically muscle out every

869
00:44:54,040 --> 00:44:56,799
Speaker 1: first time home buyer from the market. Those are things

870
00:44:56,800 --> 00:44:59,920
Speaker 1: that only legislators in Congress and you know, some ex

871
00:45:00,000 --> 00:45:02,799
Speaker 1: secutive action can do. And since we have a more

872
00:45:02,880 --> 00:45:05,319
Speaker 1: or les dysfunctional political system that is not really on

873
00:45:05,400 --> 00:45:07,919
Speaker 1: the table at this point. Yeah. And you know, hilariously enough,

874
00:45:08,000 --> 00:45:11,520
Speaker 1: literally as we're filming this, that US housing start numbers

875
00:45:11,520 --> 00:45:13,600
Speaker 1: came out in terms of the number of building permits

876
00:45:13,600 --> 00:45:16,800
Speaker 1: and starts on single family housing and it plunged eighteen

877
00:45:16,840 --> 00:45:19,759
Speaker 1: point eight percent year over year just for this month

878
00:45:19,800 --> 00:45:22,360
Speaker 1: and nine percent in the last month. See, and this

879
00:45:22,080 --> 00:45:25,680
Speaker 1: is this is the problem with the FED increasing interest rates?

880
00:45:25,719 --> 00:45:28,680
Speaker 1: Is it? Actually it's not just that it's you know,

881
00:45:28,800 --> 00:45:31,759
Speaker 1: dealing with some of the wrong problems, causing a lot

882
00:45:31,800 --> 00:45:34,840
Speaker 1: of pain for people and potentially triggering recession. It actually

883
00:45:34,920 --> 00:45:39,160
Speaker 1: is actively exacerbating the supply issues that led to inflation

884
00:45:39,239 --> 00:45:41,319
Speaker 1: in some of these categories to start with. And I

885
00:45:41,320 --> 00:45:43,800
Speaker 1: think that's a perfect example of that. Yeah, there we go.

886
00:45:43,800 --> 00:45:46,239
Speaker 1: Good morning, everybody, Happy Thursday. We have an amazing show

887
00:45:46,280 --> 00:45:48,160
Speaker 1: for everybody today. When do we have Crystal. Indeed, we

888
00:45:48,200 --> 00:45:51,360
Speaker 1: do lots of interesting stories that we are digging into

889
00:45:51,520 --> 00:45:55,840
Speaker 1: this morning. So a major admission from the CDC about

890
00:45:55,960 --> 00:45:59,879
Speaker 1: just how badly they screwed up coronavirus. They are also

891
00:46:00,120 --> 00:46:02,520
Speaker 1: now screwing up monkey pocks. So clearly they didn't really

892
00:46:02,600 --> 00:46:05,560
Speaker 1: learn their lessons from the first time. But pretty interesting

893
00:46:05,640 --> 00:46:08,400
Speaker 1: to dig into their own analysis of what went wrong

894
00:46:08,440 --> 00:46:10,239
Speaker 1: and what needs to change. We'll break all of that

895
00:46:10,640 --> 00:46:14,320
Speaker 1: down for you. Also, some new details about that search

896
00:46:14,440 --> 00:46:18,160
Speaker 1: at mar A Lago, some reporting indicating that this has

897
00:46:18,200 --> 00:46:21,560
Speaker 1: to do with Russiagate documents. It always does, always comes

898
00:46:21,560 --> 00:46:23,920
Speaker 1: back to Russia on the end, doesn't it. All things

899
00:46:24,000 --> 00:46:26,279
Speaker 1: come from there, So we'll talk to you about that

900
00:46:26,440 --> 00:46:30,239
Speaker 1: reporting and everything that's going on there. Also, as we

901
00:46:30,320 --> 00:46:35,120
Speaker 1: brought you yesterday, Liz Cheney was in fact defeated really

902
00:46:35,120 --> 00:46:38,680
Speaker 1: in quite a landslide in her state there of Wyoming.

903
00:46:38,760 --> 00:46:41,920
Speaker 1: She is now floating a presidential run, and of course

904
00:46:41,960 --> 00:46:44,560
Speaker 1: we had many cringe takes from the media that we

905
00:46:44,719 --> 00:46:47,080
Speaker 1: have to bring you as well. So some updates for

906
00:46:47,280 --> 00:46:51,319
Speaker 1: you there. Also, Jared Kushner has a new book coming out.

907
00:46:51,400 --> 00:46:53,960
Speaker 1: I know you guys are all very excited and it

908
00:46:54,080 --> 00:46:58,400
Speaker 1: is already being panned in spectacular fashion, like across the

909
00:46:58,440 --> 00:47:03,239
Speaker 1: spectrum from the right to the last time. So we've

910
00:47:03,239 --> 00:47:06,240
Speaker 1: got some details for you there as well. And Rachel

911
00:47:06,280 --> 00:47:10,719
Speaker 1: Maddow's replacement, Alex Wagner, launched her show official debut, had

912
00:47:10,719 --> 00:47:13,880
Speaker 1: some teleprompter problems there at the front, and we have

913
00:47:13,920 --> 00:47:16,480
Speaker 1: some updates for you in terms of the ratings. Also

914
00:47:16,600 --> 00:47:20,200
Speaker 1: very excited bringing back a little panel action today. Ryan

915
00:47:20,239 --> 00:47:23,000
Speaker 1: Grimm and e Lanchashinski are going to join us remotely

916
00:47:23,080 --> 00:47:25,560
Speaker 1: to break down some of the latest polls in the midterms,

917
00:47:25,560 --> 00:47:27,920
Speaker 1: and we had to check from them on everything that

918
00:47:27,960 --> 00:47:31,479
Speaker 1: they are looking at and thinking about before we jump

919
00:47:31,520 --> 00:47:35,360
Speaker 1: into the show. Live show Live Show tickets on sale

920
00:47:35,440 --> 00:47:38,160
Speaker 1: September sixteenth. I feel like I'm going to go mad

921
00:47:38,360 --> 00:47:41,920
Speaker 1: selling these tickets all right Center Stage Theater, Atlanta, sixteenth

922
00:47:42,000 --> 00:47:45,120
Speaker 1: of September, seven thirty pm Standard time. We will be

923
00:47:45,239 --> 00:47:47,359
Speaker 1: there on Friday. It's going to be a fun time.

924
00:47:47,440 --> 00:47:49,120
Speaker 1: Everybody can come out. We'll have a great time. We'll

925
00:47:49,120 --> 00:47:51,239
Speaker 1: have a great show for everybody. Go ahead and buy

926
00:47:51,239 --> 00:47:53,440
Speaker 1: your tickets. Less than a month out. We are already

927
00:47:53,520 --> 00:47:56,440
Speaker 1: planning travel and we're finalizing some of the plans there

928
00:47:56,480 --> 00:47:58,440
Speaker 1: for the show. So go ahead and buy those tickets

929
00:47:58,480 --> 00:48:01,120
Speaker 1: for the premium members. As we had discussed, we are

930
00:48:01,120 --> 00:48:03,480
Speaker 1: going to be sending out those two things. Also, I'm

931
00:48:03,520 --> 00:48:07,080
Speaker 1: aware of the fact that our email delivery system is

932
00:48:07,080 --> 00:48:11,080
Speaker 1: not working as well as originally promised. We're working on that.

933
00:48:11,480 --> 00:48:14,560
Speaker 1: Tell us today. If it doesn't come faster, we're piloting

934
00:48:14,600 --> 00:48:16,480
Speaker 1: a few different programs and we're going to figure it out,

935
00:48:16,520 --> 00:48:19,040
Speaker 1: always paying attention to you guys, But let's go ahead

936
00:48:19,040 --> 00:48:20,719
Speaker 1: and start with the show, and let's throw this up

937
00:48:20,760 --> 00:48:23,120
Speaker 1: there on the screen from the CDC. So you guys

938
00:48:23,200 --> 00:48:25,680
Speaker 1: might have seen that the CDC reverse direction. But I

939
00:48:25,760 --> 00:48:28,440
Speaker 1: actually think in the context of what it was announced yesterday,

940
00:48:28,640 --> 00:48:33,000
Speaker 1: we are seeing a monumental self assessment happening at our

941
00:48:33,239 --> 00:48:37,040
Speaker 1: nation's major public health agency. Which is that the director

942
00:48:37,120 --> 00:48:41,360
Speaker 1: of the CDC, Rachelle Wolinsky, saying that the botched pandemic response,

943
00:48:41,480 --> 00:48:44,920
Speaker 1: is calling for a full scale reorganization. Now, personally, I

944
00:48:44,960 --> 00:48:48,040
Speaker 1: don't think that even goes far enough, but the fact

945
00:48:48,120 --> 00:48:51,400
Speaker 1: that the public health authorities, some twenty six months or

946
00:48:51,440 --> 00:48:55,879
Speaker 1: so into the pandemic are basically admitting that they dramatically

947
00:48:55,920 --> 00:49:01,640
Speaker 1: screwed up both performance, messaging, so many different basic elements

948
00:49:01,640 --> 00:49:04,200
Speaker 1: from the beginning all the way really up until today

949
00:49:04,600 --> 00:49:08,440
Speaker 1: is remarkable. And they led an internal or a Reorganization

950
00:49:08,680 --> 00:49:11,640
Speaker 1: and Assessment Panel Crystal, which was actually chaired by some

951
00:49:11,680 --> 00:49:14,360
Speaker 1: people with the Department of Health and the CDC, with

952
00:49:14,480 --> 00:49:16,600
Speaker 1: interviews of over one hundred and twenty people inside and

953
00:49:16,640 --> 00:49:20,120
Speaker 1: outside of the agency, and it is remarkable what even

954
00:49:20,160 --> 00:49:22,600
Speaker 1: these people like the government is the most immune thing

955
00:49:22,680 --> 00:49:25,719
Speaker 1: to self criticism and self assessment. Even they are like, yeah,

956
00:49:25,840 --> 00:49:27,960
Speaker 1: we screwed this one up pretty bad, and they're like,

957
00:49:28,000 --> 00:49:31,400
Speaker 1: it's time for a major change to this agency. Some

958
00:49:31,440 --> 00:49:33,319
Speaker 1: of the things that they point to is that they're

959
00:49:33,320 --> 00:49:36,040
Speaker 1: going to have to undo many of their bureaucratic biases.

960
00:49:36,239 --> 00:49:38,960
Speaker 1: But their second, and I think the most important, is

961
00:49:39,239 --> 00:49:43,719
Speaker 1: they said we need to have very clear messaging. I

962
00:49:43,760 --> 00:49:46,719
Speaker 1: love also though that they they kind of blame the

963
00:49:46,760 --> 00:49:49,800
Speaker 1: American people when they say this. So they said, quote,

964
00:49:49,800 --> 00:49:52,040
Speaker 1: this is doctor David Dowdy. He's an epidemiologist at the

965
00:49:52,120 --> 00:49:55,480
Speaker 1: Johns Hopkins School. He says, messaging to the general public

966
00:49:55,520 --> 00:49:58,880
Speaker 1: needs to be quote very clear, very simple, very straightforward.

967
00:49:59,040 --> 00:50:02,080
Speaker 1: Culture is changing. We needed to change faster in terms

968
00:50:02,080 --> 00:50:05,600
Speaker 1: of CDC. So he's basically blaming like pop culture and

969
00:50:05,640 --> 00:50:08,920
Speaker 1: social media for you know, not reacting to what the

970
00:50:08,920 --> 00:50:12,520
Speaker 1: CDC said in a like a timely manner, as if

971
00:50:12,560 --> 00:50:16,320
Speaker 1: it wasn't. The initial CDC messages themselves were at fault.

972
00:50:16,360 --> 00:50:19,319
Speaker 1: But I think at a very high basic level to

973
00:50:19,480 --> 00:50:23,040
Speaker 1: have the nation's top public health agency admit to the

974
00:50:23,040 --> 00:50:26,480
Speaker 1: American people, we screwed this up dramatically. I mean, they

975
00:50:26,520 --> 00:50:29,799
Speaker 1: themselves are calling for a full scale reorganization of their

976
00:50:29,800 --> 00:50:32,560
Speaker 1: own agency, and we should push very very hard to

977
00:50:32,560 --> 00:50:34,960
Speaker 1: make sure that we'd see the correct things. I mean,

978
00:50:34,960 --> 00:50:36,920
Speaker 1: that is just it took too long, but I mean

979
00:50:36,960 --> 00:50:40,280
Speaker 1: it's probably better than nothing. Totally admitted. I'm pretty surprised

980
00:50:40,320 --> 00:50:43,480
Speaker 1: that they had this level of self assessment. And I

981
00:50:43,520 --> 00:50:46,160
Speaker 1: mean she made some pretty Doctor Rulenski made some pretty

982
00:50:46,160 --> 00:50:48,640
Speaker 1: direct comments. She told the agency to be frank, we

983
00:50:48,640 --> 00:50:51,839
Speaker 1: were responsible for some pretty dramatic, pretty public mistakes from

984
00:50:51,880 --> 00:50:54,960
Speaker 1: testing to data to communications, and we're going to go

985
00:50:55,000 --> 00:50:57,759
Speaker 1: through full reminder trip down memory lane what some of

986
00:50:57,800 --> 00:51:00,279
Speaker 1: those were. But I think in the early days of

987
00:51:00,280 --> 00:51:03,320
Speaker 1: the pandemic they actually escaped a lot of scrutiny because

988
00:51:03,320 --> 00:51:06,759
Speaker 1: Trump was screwing up so badly, and so there was

989
00:51:06,800 --> 00:51:08,560
Speaker 1: a sense of like, oh my god, if we just

990
00:51:08,600 --> 00:51:11,040
Speaker 1: had like a different guy in charge, then our public

991
00:51:11,040 --> 00:51:12,960
Speaker 1: health agencies would be able to do what they do

992
00:51:13,160 --> 00:51:16,000
Speaker 1: and what they're expert at. But as time we're on,

993
00:51:16,280 --> 00:51:20,960
Speaker 1: it became clear that those bureaucracies were also completely failing

994
00:51:21,040 --> 00:51:25,320
Speaker 1: and in some really basic and very very significant ways

995
00:51:25,640 --> 00:51:28,680
Speaker 1: that threw off our response from the jump and also

996
00:51:29,000 --> 00:51:32,160
Speaker 1: really diminished public trust. And that was as big of

997
00:51:32,160 --> 00:51:34,480
Speaker 1: a problem as anything as we then moved into the

998
00:51:34,560 --> 00:51:38,000
Speaker 1: vaccine phase and you had a large population say, we're

999
00:51:38,040 --> 00:51:41,080
Speaker 1: just not really sure that your guidance is accurate after

1000
00:51:41,120 --> 00:51:43,880
Speaker 1: the things that we heard before. So the fact that

1001
00:51:43,920 --> 00:51:48,840
Speaker 1: they're acknowledging it, she speaks directly to unclear communication. She

1002
00:51:48,960 --> 00:51:52,000
Speaker 1: speaks to the fact that they at times would have

1003
00:51:52,120 --> 00:51:55,040
Speaker 1: data that would be useful for making decisions on things

1004
00:51:55,040 --> 00:51:57,880
Speaker 1: like booster shots that they were reluctant to release to

1005
00:51:57,960 --> 00:52:00,920
Speaker 1: the public. And the reason that they were reluctant to

1006
00:52:00,960 --> 00:52:04,560
Speaker 1: put it out there sooner was because the promotion system

1007
00:52:04,600 --> 00:52:07,480
Speaker 1: within the CDC was based much more on like how

1008
00:52:07,520 --> 00:52:11,600
Speaker 1: many academic papers you had published than on really protecting

1009
00:52:11,640 --> 00:52:13,320
Speaker 1: the public and doing your job in terms of a

1010
00:52:13,360 --> 00:52:16,759
Speaker 1: public health official. So the incentives were all screwed up,

1011
00:52:16,840 --> 00:52:19,960
Speaker 1: so people wanted to hold onto the data until they

1012
00:52:19,960 --> 00:52:22,200
Speaker 1: got their little paper published so that they could get,

1013
00:52:22,239 --> 00:52:24,880
Speaker 1: you know, a gold star for that, rather than really

1014
00:52:24,920 --> 00:52:28,480
Speaker 1: having as their number one priority getting critical information out

1015
00:52:28,480 --> 00:52:30,479
Speaker 1: to the public. And that'sider is one of the things

1016
00:52:30,480 --> 00:52:33,040
Speaker 1: that she spoke to the most was that the orientation

1017
00:52:33,160 --> 00:52:36,640
Speaker 1: of the agency was more about sort of like academia

1018
00:52:36,719 --> 00:52:39,759
Speaker 1: and research and that was how you were promoted than

1019
00:52:39,800 --> 00:52:44,280
Speaker 1: it was directed directed at being super responsive, being super

1020
00:52:44,320 --> 00:52:47,640
Speaker 1: fast and serving the public. But you know, I think

1021
00:52:47,640 --> 00:52:49,000
Speaker 1: one of the things that we're going to talk about

1022
00:52:49,000 --> 00:52:51,840
Speaker 1: monkey pocks in a little bit, but one of the

1023
00:52:51,880 --> 00:52:55,360
Speaker 1: biggest failures was on communication. I mean, doctor Wolenski herself

1024
00:52:55,440 --> 00:52:58,759
Speaker 1: was criticized for her communication style and I think had

1025
00:52:58,800 --> 00:53:01,879
Speaker 1: to bring in a public speaking coach and media treat

1026
00:53:01,960 --> 00:53:04,719
Speaker 1: government paid for, right, So you know, this reflects on

1027
00:53:04,760 --> 00:53:08,799
Speaker 1: her as well. But the fact that you had, you

1028
00:53:08,960 --> 00:53:11,839
Speaker 1: had public health officials and continue to have public health

1029
00:53:11,840 --> 00:53:15,520
Speaker 1: officials who are uncomfortable just telling the public the truth

1030
00:53:15,640 --> 00:53:18,560
Speaker 1: because they're worried that the public can't handle the truth.

1031
00:53:19,320 --> 00:53:23,440
Speaker 1: That is a massive, massive issue. It's not your job

1032
00:53:23,840 --> 00:53:28,200
Speaker 1: to be managing the emotions and psychoanalyzing the American public.

1033
00:53:28,520 --> 00:53:32,160
Speaker 1: You have to trust that people can handle the unvarnished

1034
00:53:32,200 --> 00:53:35,919
Speaker 1: facts about what is going on, what the risks factors are,

1035
00:53:36,160 --> 00:53:39,360
Speaker 1: what the risk vectors are, and how you should respond.

1036
00:53:39,400 --> 00:53:41,319
Speaker 1: You have to trust the public to be able to

1037
00:53:41,320 --> 00:53:44,640
Speaker 1: handle the basic facts, otherwise you're going to end up

1038
00:53:44,640 --> 00:53:46,960
Speaker 1: with exactly the medal that we had in coronavirus and

1039
00:53:47,000 --> 00:53:48,960
Speaker 1: that we are are seeing with monkey pop. Yeah, and

1040
00:53:48,960 --> 00:53:51,560
Speaker 1: we put together a list and so look, I know

1041
00:53:51,600 --> 00:53:54,080
Speaker 1: everybody's got their own pet peas, But what we wanted

1042
00:53:54,080 --> 00:53:56,720
Speaker 1: to try and focus on was the very very early

1043
00:53:56,760 --> 00:53:59,520
Speaker 1: failures pre vaccine and the ones that are like totally

1044
00:53:59,520 --> 00:54:04,839
Speaker 1: indus indisputable, like beyond even the vaccination policies. I think

1045
00:54:04,920 --> 00:54:07,879
Speaker 1: first and foremost was we should all remember the very

1046
00:54:07,960 --> 00:54:11,680
Speaker 1: very early days of the pandemic. Whenever the coronavirus was

1047
00:54:11,760 --> 00:54:16,000
Speaker 1: ripping through China, Europe was having lockdowns Italy January of

1048
00:54:16,040 --> 00:54:17,920
Speaker 1: twenty twenty, there was a lot of questions like what

1049
00:54:17,920 --> 00:54:19,440
Speaker 1: the hell is going on here? And one of the

1050
00:54:19,480 --> 00:54:23,359
Speaker 1: major ones on COVID was does this spread via surfaces

1051
00:54:23,560 --> 00:54:26,880
Speaker 1: via particles aka leading to the whole washer hands discussion?

1052
00:54:27,200 --> 00:54:31,319
Speaker 1: Or is this an airborne transmitted virus? Now? The real

1053
00:54:31,400 --> 00:54:33,920
Speaker 1: questions surrounded that, and we will also remember that the

1054
00:54:34,000 --> 00:54:37,360
Speaker 1: Chinese lied to the WHO famous tweet January of twenty

1055
00:54:37,360 --> 00:54:40,440
Speaker 1: twenty who says China data shows that this is not

1056
00:54:40,680 --> 00:54:43,560
Speaker 1: an airborne transmissible virus. I mean, who knows how many

1057
00:54:43,719 --> 00:54:45,920
Speaker 1: deaths that that led to in the early days and

1058
00:54:45,960 --> 00:54:50,560
Speaker 1: actually misguided public health messaging. We should remember it took

1059
00:54:50,800 --> 00:54:55,879
Speaker 1: until May of twenty twenty one, mid vaccination campaign. Let's

1060
00:54:55,920 --> 00:54:58,160
Speaker 1: throw this up there on the screen for the CDC

1061
00:54:58,440 --> 00:55:03,759
Speaker 1: to finally ign knowledge airborne transmission. It took them a

1062
00:55:03,920 --> 00:55:06,759
Speaker 1: year and a half almost in order for them to

1063
00:55:06,960 --> 00:55:10,360
Speaker 1: actually update their official guidance. And the reason that I

1064
00:55:10,400 --> 00:55:12,880
Speaker 1: chose this one to start is that that shows US

1065
00:55:12,920 --> 00:55:16,640
Speaker 1: crystal a sixteen month backlog as to when the data

1066
00:55:16,760 --> 00:55:19,920
Speaker 1: is clear as day everybody knows it to a final

1067
00:55:20,040 --> 00:55:25,719
Speaker 1: official guidance revisory. And imagine the level of bureaucratic mishappen

1068
00:55:25,840 --> 00:55:30,040
Speaker 1: more to acknowledge the most basic fact and truth about

1069
00:55:30,040 --> 00:55:32,960
Speaker 1: a virus and then to have it be known to

1070
00:55:33,000 --> 00:55:35,400
Speaker 1: the general public, to be known to the medical community,

1071
00:55:35,600 --> 00:55:38,239
Speaker 1: for you, for hundreds of thousands of people, not only

1072
00:55:38,280 --> 00:55:40,680
Speaker 1: in this country, millions across the world to be dead,

1073
00:55:40,800 --> 00:55:43,960
Speaker 1: for them to finally update their guidance. That was number one.

1074
00:55:44,080 --> 00:55:46,000
Speaker 1: That was one of the initial screw ups. Number two

1075
00:55:46,200 --> 00:55:47,759
Speaker 1: was a mass I mean this one we could beat

1076
00:55:47,760 --> 00:55:51,520
Speaker 1: to death, you know, forever. Let's put this problem, show

1077
00:55:51,520 --> 00:55:53,920
Speaker 1: this up there right. This is the timeline from the

1078
00:55:54,040 --> 00:55:57,399
Speaker 1: LA Times on mass guidance. We should remember the US

1079
00:55:57,480 --> 00:56:00,360
Speaker 1: Surgeon General at the very beginning of the pandemic in

1080
00:56:00,400 --> 00:56:03,879
Speaker 1: February of twenty twenty, urged the US public in all

1081
00:56:03,960 --> 00:56:09,600
Speaker 1: caps quote stop buying masks. This was up until May,

1082
00:56:09,800 --> 00:56:14,160
Speaker 1: so two months actually really almost three of initial spread

1083
00:56:14,320 --> 00:56:17,800
Speaker 1: across this nation of coronavirus. You had the CDC and

1084
00:56:17,880 --> 00:56:19,839
Speaker 1: public health authorities all the way up to the top

1085
00:56:19,920 --> 00:56:23,400
Speaker 1: of the White House basically saying masks do not work.

1086
00:56:23,560 --> 00:56:27,560
Speaker 1: He said specifically, quote masks are not effective in preventing

1087
00:56:27,600 --> 00:56:30,520
Speaker 1: general public from catching coronavirus. If health care providers can't

1088
00:56:30,520 --> 00:56:32,279
Speaker 1: get them to care for sick patients, it puts them

1089
00:56:32,280 --> 00:56:34,359
Speaker 1: in our community risk. So hold on a second. It's

1090
00:56:34,360 --> 00:56:37,080
Speaker 1: not effective at stopping But then why do health care

1091
00:56:37,080 --> 00:56:39,360
Speaker 1: providers need them. Well, we later find out, threw an

1092
00:56:39,360 --> 00:56:42,560
Speaker 1: admission from doctor Anthony Fauci. The reason why that this

1093
00:56:42,640 --> 00:56:46,320
Speaker 1: message was concocted was basically to stop Americans from buying

1094
00:56:46,360 --> 00:56:49,200
Speaker 1: masks and from in order to keep the stock for

1095
00:56:49,320 --> 00:56:51,920
Speaker 1: public health. Here's what I've always said this, which is

1096
00:56:51,960 --> 00:56:54,240
Speaker 1: that if they had just been honest with the American

1097
00:56:54,239 --> 00:56:56,600
Speaker 1: people and been like, listen, we have a shortage, please

1098
00:56:56,640 --> 00:56:58,960
Speaker 1: don't buy them. We need the n ninety fives for

1099
00:56:59,000 --> 00:57:01,319
Speaker 1: our hostels. I think people would have I think people

1100
00:57:01,320 --> 00:57:03,279
Speaker 1: would just buy that. And actually I always point to

1101
00:57:03,320 --> 00:57:05,680
Speaker 1: myself when that happened. I was like, yeah, I don't

1102
00:57:05,680 --> 00:57:07,320
Speaker 1: believe you, And I bought a bunch of MAN ninety

1103
00:57:07,320 --> 00:57:10,319
Speaker 1: fives on Amazon. If somebody had told me don't buy

1104
00:57:10,360 --> 00:57:13,520
Speaker 1: an N ninety five because healthcare, I absolutely wouldn't have

1105
00:57:13,520 --> 00:57:15,280
Speaker 1: purchased it. Yeah, but it was more out of distrust.

1106
00:57:15,320 --> 00:57:16,960
Speaker 1: And I was like, I think this is bullshit. I mean,

1107
00:57:17,240 --> 00:57:19,120
Speaker 1: if did it make sense? I remember talking about it

1108
00:57:19,160 --> 00:57:22,000
Speaker 1: at this time. We're like, so, why is it helpful

1109
00:57:22,040 --> 00:57:25,280
Speaker 1: in a public health setting? But it's not helpful in general,

1110
00:57:25,360 --> 00:57:29,280
Speaker 1: Like this just really doesn't add up. And then I think,

1111
00:57:29,320 --> 00:57:31,200
Speaker 1: why this one and why we do harp on this

1112
00:57:31,280 --> 00:57:35,960
Speaker 1: one so much, is because it really demonstrates this problem

1113
00:57:36,080 --> 00:57:39,360
Speaker 1: of rather than just doing their job and saying, here

1114
00:57:39,360 --> 00:57:42,480
Speaker 1: are the facts, you're the science, here's the risks, here's

1115
00:57:42,520 --> 00:57:46,720
Speaker 1: the studies that back it up, they tried to massage

1116
00:57:46,880 --> 00:57:51,240
Speaker 1: the emotions of the American public, tried to engineer the

1117
00:57:51,280 --> 00:57:55,720
Speaker 1: outcomes that they wanted, and were fearful that the public

1118
00:57:55,960 --> 00:57:59,920
Speaker 1: could not deal with the actual facts as they exist.

1119
00:58:00,360 --> 00:58:04,680
Speaker 1: And so you know, they have no They actually admitted

1120
00:58:05,000 --> 00:58:07,480
Speaker 1: that this is what they were doing, that they were

1121
00:58:07,640 --> 00:58:10,200
Speaker 1: lying to you because they were worried you would go

1122
00:58:10,280 --> 00:58:12,800
Speaker 1: out and hog up all the mass, and then frontline

1123
00:58:12,840 --> 00:58:15,720
Speaker 1: healthcare workers who were in dire need of mass and

1124
00:58:15,760 --> 00:58:17,959
Speaker 1: who you know, were screwed over buyers supply chain issues

1125
00:58:17,960 --> 00:58:20,320
Speaker 1: in the fact this stuff all came from China, that

1126
00:58:20,440 --> 00:58:23,800
Speaker 1: they would have what they need. So this is to

1127
00:58:23,920 --> 00:58:28,840
Speaker 1: me such a perfect crystallization of what they have continued

1128
00:58:28,840 --> 00:58:30,680
Speaker 1: to fail on. And even then, once we got the

1129
00:58:30,680 --> 00:58:32,880
Speaker 1: acknowledgement Okay, yeah, masks do work, and then we go

1130
00:58:32,920 --> 00:58:34,320
Speaker 1: in the other direction of okay, you got to have

1131
00:58:34,360 --> 00:58:37,800
Speaker 1: mass everywhere inside out avenage, sometimes they don't work, gools,

1132
00:58:37,840 --> 00:58:41,120
Speaker 1: et cetera. Then there was a reluctance to acknowledge that

1133
00:58:41,240 --> 00:58:45,000
Speaker 1: certain masks are kind of useless and certain masks are better.

1134
00:58:45,120 --> 00:58:47,800
Speaker 1: I mean, there was always just a reluctance to be

1135
00:58:47,920 --> 00:58:51,200
Speaker 1: straight with the American people when there was a concern

1136
00:58:51,280 --> 00:58:55,000
Speaker 1: that it might lead to giving you know, skeptics a

1137
00:58:55,040 --> 00:58:57,600
Speaker 1: talking point, or it might lead to some outcome that

1138
00:58:57,640 --> 00:59:01,080
Speaker 1: the public health officials were fearful about. I understand it's

1139
00:59:01,080 --> 00:59:04,480
Speaker 1: a natural, I guess, human instinct to try to micromanage

1140
00:59:04,480 --> 00:59:07,920
Speaker 1: these things, but ultimately that ain't your job. If society

1141
00:59:08,000 --> 00:59:10,960
Speaker 1: has a problem as a result of the accurate guidance

1142
00:59:11,000 --> 00:59:13,200
Speaker 1: that you give, we have to deal with that downstream.

1143
00:59:13,560 --> 00:59:16,320
Speaker 1: But up front, you have to trust this is a democracy.

1144
00:59:16,400 --> 00:59:18,400
Speaker 1: Grown ups are going to behave in an adult way

1145
00:59:18,480 --> 00:59:20,520
Speaker 1: and taking this information an accurate way. And I just,

1146
00:59:20,880 --> 00:59:22,840
Speaker 1: you know, I think back to that time sober and

1147
00:59:22,920 --> 00:59:27,640
Speaker 1: how scary it was for everybody. I think about how

1148
00:59:28,080 --> 00:59:30,040
Speaker 1: you know, how much we were all just trying to

1149
00:59:30,080 --> 00:59:31,920
Speaker 1: figure out what the hell was going on and how

1150
00:59:31,960 --> 00:59:34,800
Speaker 1: to keep ourselves and our loved ones safe. And the

1151
00:59:34,880 --> 00:59:37,360
Speaker 1: fact that we did not feel that we had a

1152
00:59:37,720 --> 00:59:42,960
Speaker 1: reliable entity here that was just giving us what they

1153
00:59:43,000 --> 00:59:46,400
Speaker 1: actually knew in real time made it so much more

1154
00:59:46,440 --> 00:59:50,280
Speaker 1: difficult to sort through what was fact and what was fiction. Absolutely,

1155
00:59:50,440 --> 00:59:52,000
Speaker 1: test is another one. Let's go and put this up

1156
00:59:52,040 --> 00:59:53,840
Speaker 1: there on the screen. You know, people really forget this,

1157
00:59:53,920 --> 00:59:56,160
Speaker 1: but we did not have reliable testing in this country

1158
00:59:56,200 --> 00:59:57,960
Speaker 1: for several months, and even then, you know, it took

1159
00:59:58,000 --> 01:00:00,960
Speaker 1: a while for PCR government provided tests, and then there

1160
01:00:00,960 --> 01:00:03,800
Speaker 1: was a lot of controversy even around the PCR, around

1161
01:00:03,840 --> 01:00:05,800
Speaker 1: the level of cycles. You know, what exactly they were

1162
01:00:05,840 --> 01:00:08,200
Speaker 1: running for whether it's too sensitive or not. And part

1163
01:00:08,200 --> 01:00:11,120
Speaker 1: of the reason why is again total bureaucratics grew up. Essentially,

1164
01:00:11,120 --> 01:00:13,920
Speaker 1: what happened is that the CDC basically said, no, we're

1165
01:00:13,920 --> 01:00:16,560
Speaker 1: going to create our own tests versus buying existing tests.

1166
01:00:16,600 --> 01:00:20,160
Speaker 1: So while Europe and many other countries had far better testing,

1167
01:00:20,280 --> 01:00:23,480
Speaker 1: immediate testing that was available to their general public and

1168
01:00:23,600 --> 01:00:26,280
Speaker 1: was able to lead to more quarantines of the right

1169
01:00:26,320 --> 01:00:30,040
Speaker 1: people instead of having to quarantine or ask population wide concerns,

1170
01:00:30,080 --> 01:00:32,080
Speaker 1: we didn't have that for several months, and that led

1171
01:00:32,120 --> 01:00:35,400
Speaker 1: to what people just risked it. People basically didn't trust

1172
01:00:35,440 --> 01:00:38,280
Speaker 1: it anymore. Eventually led to the fact that at one

1173
01:00:38,320 --> 01:00:42,760
Speaker 1: point there was US companies making rapid tests for Europe,

1174
01:00:42,760 --> 01:00:45,440
Speaker 1: not for America. I harped on that so much at

1175
01:00:45,440 --> 01:00:48,640
Speaker 1: the time because it just shows you the bureaucratic nightmare

1176
01:00:48,680 --> 01:00:52,040
Speaker 1: of the FDA and the CDC not using their emergency

1177
01:00:52,080 --> 01:00:54,560
Speaker 1: authority in order to push these things through. So, look,

1178
01:00:55,160 --> 01:00:58,600
Speaker 1: those are three egregious ones that we pointed to, and

1179
01:00:58,680 --> 01:01:02,880
Speaker 1: I know there are so many lockdowns the initial VAX campaign.

1180
01:01:03,120 --> 01:01:06,040
Speaker 1: I could go on the fact they covered up the obesity.

1181
01:01:06,600 --> 01:01:09,000
Speaker 1: You know, it's so much of the risk factors more.

1182
01:01:09,040 --> 01:01:12,240
Speaker 1: But like outside of the controversial realm, you cannot look

1183
01:01:12,280 --> 01:01:14,320
Speaker 1: at any of these three things, no matter where you

1184
01:01:14,400 --> 01:01:17,000
Speaker 1: fall on a spectrum of public health and not say

1185
01:01:17,120 --> 01:01:19,840
Speaker 1: this is a colossal mistake. Colossal miss How long did

1186
01:01:19,840 --> 01:01:23,040
Speaker 1: it take it take us before the US government was

1187
01:01:23,080 --> 01:01:27,440
Speaker 1: able to send Americans tests a year? Yeah, I mean

1188
01:01:27,480 --> 01:01:29,920
Speaker 1: it was. It didn't happen until under the Biden ministry,

1189
01:01:29,920 --> 01:01:33,640
Speaker 1: I mean it was forever. South Korea, which reported their

1190
01:01:33,680 --> 01:01:37,800
Speaker 1: first test within a day of US a week later,

1191
01:01:38,200 --> 01:01:41,320
Speaker 1: gave permission for their commercial abs to develop tests. Within

1192
01:01:41,400 --> 01:01:45,640
Speaker 1: two weeks, they were shipping thousands of test test kits daily,

1193
01:01:45,880 --> 01:01:47,920
Speaker 1: and by mid March they were testing at a per

1194
01:01:47,960 --> 01:01:50,960
Speaker 1: capital rate forty times higher than the US. And by

1195
01:01:51,000 --> 01:01:53,040
Speaker 1: the way, I mean South Korea I think has been

1196
01:01:53,320 --> 01:01:57,040
Speaker 1: lauded for their early coronavirus response much more effective than ours.

1197
01:01:57,200 --> 01:01:59,800
Speaker 1: But there were countries around the world, and not just

1198
01:02:00,200 --> 01:02:03,400
Speaker 1: developed nations. There were other poorer countries that were able

1199
01:02:03,440 --> 01:02:05,800
Speaker 1: to develop tests and get their tests to their population

1200
01:02:06,360 --> 01:02:10,160
Speaker 1: far faster than we were able to do. And of

1201
01:02:10,240 --> 01:02:12,320
Speaker 1: all the screw ups, I mean that may have been

1202
01:02:12,600 --> 01:02:15,640
Speaker 1: the most critical because that meant in those early days

1203
01:02:15,760 --> 01:02:18,840
Speaker 1: we were flying blind. We had no idea how far

1204
01:02:18,880 --> 01:02:21,640
Speaker 1: it had spread, where it was, where the hotspots were.

1205
01:02:21,960 --> 01:02:23,840
Speaker 1: People were getting sick at that time, and they had

1206
01:02:23,840 --> 01:02:25,760
Speaker 1: no idea whether they had it or not, which of course,

1207
01:02:25,840 --> 01:02:27,920
Speaker 1: you know, was terrifying for them and also result in

1208
01:02:28,040 --> 01:02:31,600
Speaker 1: additional sickness and death. So yeah, this was one of

1209
01:02:31,680 --> 01:02:35,480
Speaker 1: the most sort of critical screw ups at the very beginning.

1210
01:02:35,560 --> 01:02:38,680
Speaker 1: So listen, bottom line. Good that they're doing this assessment.

1211
01:02:38,720 --> 01:02:40,560
Speaker 1: Now this came from you know, an external group that

1212
01:02:40,560 --> 01:02:42,400
Speaker 1: came in and looked at what happened and tried to

1213
01:02:42,400 --> 01:02:45,840
Speaker 1: do an independent evaluation. Good that they're having some unvarnished

1214
01:02:45,840 --> 01:02:48,600
Speaker 1: talk about what needs to happen here and planning on

1215
01:02:48,640 --> 01:02:51,160
Speaker 1: a big reorganization in a big shape shake up and

1216
01:02:51,240 --> 01:02:54,720
Speaker 1: moving it from this sort of like laid back academic

1217
01:02:54,840 --> 01:02:57,960
Speaker 1: setting to more of a urgent. We got to get

1218
01:02:57,960 --> 01:03:00,240
Speaker 1: this done and it's in interest to the public else

1219
01:03:00,280 --> 01:03:03,520
Speaker 1: and that's what we're focused on. Posture now, we got

1220
01:03:03,520 --> 01:03:05,160
Speaker 1: to see if they're actually able to pull out. Well,

1221
01:03:05,280 --> 01:03:07,600
Speaker 1: unfortunately we already know that's not the case with monkey pox.

1222
01:03:07,600 --> 01:03:09,760
Speaker 1: We're about to talk about that, and you know, even

1223
01:03:09,880 --> 01:03:12,680
Speaker 1: the leading from behind strategy continues. Let's put this up there,

1224
01:03:12,680 --> 01:03:14,240
Speaker 1: which is that you guys might have noticed, which is

1225
01:03:14,280 --> 01:03:17,360
Speaker 1: exactly a week ago, the CDC actually revised all of

1226
01:03:17,360 --> 01:03:20,600
Speaker 1: its guidance around COVID, lifting requirements to quarantine if exposed

1227
01:03:20,600 --> 01:03:24,040
Speaker 1: to the virus, deemphasize screening people with no symptoms, updating

1228
01:03:24,080 --> 01:03:28,440
Speaker 1: COVID nineteen protocols in schools, the effective test to stay strategy,

1229
01:03:28,640 --> 01:03:32,520
Speaker 1: and saying, well, you know, COVID it's here to stay.

1230
01:03:32,760 --> 01:03:34,800
Speaker 1: They say that, I don't really think there's many state

1231
01:03:35,280 --> 01:03:37,280
Speaker 1: local jurisdictions that are even feeling they're going to need

1232
01:03:37,320 --> 01:03:40,040
Speaker 1: to start making mandates, so they're abandoning a mandate strategy,

1233
01:03:40,080 --> 01:03:43,360
Speaker 1: abandoning the test to stay strategy, and saying, look, we

1234
01:03:43,480 --> 01:03:45,240
Speaker 1: just know that COVID is here to stay and we

1235
01:03:45,280 --> 01:03:47,240
Speaker 1: need to learn to live with it. I mean, look,

1236
01:03:47,720 --> 01:03:50,440
Speaker 1: people have been doing that for over a year. Some

1237
01:03:50,480 --> 01:03:51,840
Speaker 1: people in the South, they've been doing it for a

1238
01:03:51,920 --> 01:03:54,640
Speaker 1: much longer than a year, and they just come out, Well,

1239
01:03:54,680 --> 01:03:57,600
Speaker 1: the entire American people. This is why this is very bad,

1240
01:03:57,760 --> 01:04:02,440
Speaker 1: which is that states and locality had to make individual

1241
01:04:02,520 --> 01:04:09,640
Speaker 1: decisions based upon unclear data and popular guidance before months before,

1242
01:04:09,720 --> 01:04:12,760
Speaker 1: some some cases, years before, the CDC was like, yeah,

1243
01:04:12,760 --> 01:04:15,360
Speaker 1: this is reality. Now you should have it the opposite

1244
01:04:15,520 --> 01:04:17,800
Speaker 1: the CDC. I always we always I think I use

1245
01:04:17,840 --> 01:04:20,160
Speaker 1: this example on steak. You know, the CDC is likeyah,

1246
01:04:20,200 --> 01:04:22,120
Speaker 1: you should cook the steak well done, and people are like, okay,

1247
01:04:22,120 --> 01:04:23,560
Speaker 1: thank you, I'm just not going to do that, and

1248
01:04:23,920 --> 01:04:26,080
Speaker 1: it's like, you know, thank you for telling me that.

1249
01:04:26,680 --> 01:04:29,240
Speaker 1: It's not like that. Yeah, it's like running eggs. By

1250
01:04:29,240 --> 01:04:31,360
Speaker 1: the way, running eggs are disgusting in my opinion. Now

1251
01:04:31,400 --> 01:04:33,800
Speaker 1: some people like it. Apparently they even order them that way.

1252
01:04:33,880 --> 01:04:36,320
Speaker 1: I think it's gross. You like the yolk all completely

1253
01:04:36,320 --> 01:04:40,480
Speaker 1: hard on to it, almost burned on the pan. I

1254
01:04:40,520 --> 01:04:43,600
Speaker 1: want sticking to the pan. Look, I'm a weird guy.

1255
01:04:43,760 --> 01:04:45,560
Speaker 1: It is what it is. But more what I'm saying

1256
01:04:45,600 --> 01:04:48,080
Speaker 1: is I'm actually following CDC guidance in that, but I

1257
01:04:48,080 --> 01:04:50,280
Speaker 1: don't go after what. It's like eggs benedict right where

1258
01:04:50,320 --> 01:04:53,440
Speaker 1: you get anyway. But every time you know what eggs benedict,

1259
01:04:53,480 --> 01:04:56,760
Speaker 1: you are violating CDC guidance. Whatever you know it is

1260
01:04:56,760 --> 01:04:59,600
Speaker 1: is what the whites of the egg aren't cooked. Now

1261
01:04:59,760 --> 01:05:02,960
Speaker 1: that is nasty, but a runny yoke. Yeah, that's art,

1262
01:05:03,120 --> 01:05:06,080
Speaker 1: that's life. My point is they tell you not to

1263
01:05:06,120 --> 01:05:08,800
Speaker 1: do it. People say, I'm just gonna do it. There's

1264
01:05:08,800 --> 01:05:11,400
Speaker 1: also there's actually a lot of guidance for like pregnant

1265
01:05:11,440 --> 01:05:14,600
Speaker 1: ladies that also is really outdated, and like nobody in

1266
01:05:14,760 --> 01:05:17,320
Speaker 1: other countries are like what you can't eat like certain

1267
01:05:17,320 --> 01:05:19,360
Speaker 1: types of cheese? What are you talking about? Oh really,

1268
01:05:19,360 --> 01:05:21,920
Speaker 1: I didn't know about that. Yeah, it's like soft cheeses.

1269
01:05:22,200 --> 01:05:24,600
Speaker 1: You're supposed to avoid deli meat. I mean, listen, there

1270
01:05:24,640 --> 01:05:28,240
Speaker 1: are like outside, outside, outside chances that this could be

1271
01:05:28,240 --> 01:05:29,680
Speaker 1: a problem for you. But I just want you guys

1272
01:05:29,720 --> 01:05:31,920
Speaker 1: to know, I had three kids and I had all

1273
01:05:31,920 --> 01:05:34,320
Speaker 1: sorts of cheese and deli meat. There you go, time

1274
01:05:34,360 --> 01:05:35,920
Speaker 1: and it all worked out. Okay. More is than my

1275
01:05:35,960 --> 01:05:39,240
Speaker 1: point give the guidance people can live their lives. It

1276
01:05:39,280 --> 01:05:42,520
Speaker 1: should be the It should be directional in the way

1277
01:05:42,560 --> 01:05:45,280
Speaker 1: that we see what it is, Okay, we understand that,

1278
01:05:45,520 --> 01:05:47,880
Speaker 1: and then we can live from there. Instead, people had

1279
01:05:47,880 --> 01:05:50,960
Speaker 1: to start living in all these disparate ways across the country,

1280
01:05:51,160 --> 01:05:53,480
Speaker 1: someplace a mass Man dates. Somepos don't have mass Man

1281
01:05:53,560 --> 01:05:56,280
Speaker 1: days more based upon frankly, the paranoia of their population

1282
01:05:56,600 --> 01:05:59,560
Speaker 1: than the actual science. And then the scientists take months

1283
01:05:59,600 --> 01:06:01,720
Speaker 1: in order to catch up with the general public. It's

1284
01:06:01,760 --> 01:06:04,120
Speaker 1: just a complete and total failure. So I think this

1285
01:06:04,200 --> 01:06:07,280
Speaker 1: is a perfect way to end that CDC story, acknowledging

1286
01:06:07,440 --> 01:06:11,200
Speaker 1: the failure, but at the same time continuing the bureaucratic failure.

1287
01:06:13,880 --> 01:06:16,640
Speaker 1: We have one left lital update we wanted to bring

1288
01:06:16,840 --> 01:06:20,440
Speaker 1: to you here, which is, as we have been talking about,

1289
01:06:20,800 --> 01:06:24,960
Speaker 1: Rachel Maddow no longer hosting a regular nightly show, which

1290
01:06:25,000 --> 01:06:28,560
Speaker 1: is a really and already feel about her end of

1291
01:06:28,600 --> 01:06:32,160
Speaker 1: an era in terms of cable news. I really, you know,

1292
01:06:32,240 --> 01:06:34,880
Speaker 1: maintain there are basically two figures in cable news that

1293
01:06:34,960 --> 01:06:38,480
Speaker 1: have true loyal audiences. That would be Tucker Carlson and

1294
01:06:38,560 --> 01:06:42,280
Speaker 1: Rachel Maddow. There in some ways, you know, two sides

1295
01:06:42,320 --> 01:06:44,960
Speaker 1: of the same coin. She even spoke very favorably of him,

1296
01:06:44,960 --> 01:06:47,520
Speaker 1: and well he gave her recent interview, so I mean,

1297
01:06:47,600 --> 01:06:50,040
Speaker 1: it is it is very interesting. So she stepped down,

1298
01:06:50,120 --> 01:06:52,960
Speaker 1: and she's the only person at MSNBC that can really

1299
01:06:53,360 --> 01:06:57,960
Speaker 1: drive ratings. They put in her place Alex Wagner, who interesting.

1300
01:06:57,960 --> 01:07:01,120
Speaker 1: I mean, she was there when I was there. She

1301
01:07:01,280 --> 01:07:04,360
Speaker 1: was fired when I was fired, and like a massive

1302
01:07:04,520 --> 01:07:06,680
Speaker 1: you know, they let go a bunch of people at

1303
01:07:06,680 --> 01:07:09,680
Speaker 1: that time. But Alex is very sort of well connected,

1304
01:07:09,760 --> 01:07:12,000
Speaker 1: and she went on to do showtime circuits. She was

1305
01:07:12,040 --> 01:07:14,600
Speaker 1: over I don't know CBS or something like that as well,

1306
01:07:14,960 --> 01:07:17,080
Speaker 1: manages to get brought back in as a guest host,

1307
01:07:17,120 --> 01:07:18,880
Speaker 1: and then kind of out of nowhere, they hand her

1308
01:07:19,280 --> 01:07:24,520
Speaker 1: this most coveted slot in the entire lineup. So she

1309
01:07:24,680 --> 01:07:27,040
Speaker 1: launched her show this week and they had a little

1310
01:07:27,080 --> 01:07:29,880
Speaker 1: bit of technical difficulties at the very beginning. Let's take

1311
01:07:29,880 --> 01:07:33,560
Speaker 1: a look at that. So with that, let's get started tonight.

1312
01:07:33,600 --> 01:07:37,080
Speaker 1: The FBI warrant used to search Moral Lago is unsealed.

1313
01:07:37,320 --> 01:07:40,320
Speaker 1: The three potential crimes laid out in that document. Will

1314
01:07:40,360 --> 01:07:44,280
Speaker 1: dive into what it means and what could happen with

1315
01:07:44,400 --> 01:07:46,880
Speaker 1: one of the Wall Street Journal reporters who was first

1316
01:07:46,880 --> 01:07:51,280
Speaker 1: to report on the contents of that warrant. Then we'll

1317
01:07:55,240 --> 01:07:58,920
Speaker 1: then we'll talk with We're going to go right We

1318
01:07:58,960 --> 01:08:01,360
Speaker 1: are actually going to go right to the top story tonight,

1319
01:08:03,200 --> 01:08:08,040
Speaker 1: So it would make fun. It sucks. That's also why

1320
01:08:08,080 --> 01:08:10,440
Speaker 1: we don't do the show live specifically for that reason.

1321
01:08:10,960 --> 01:08:13,280
Speaker 1: So that's really hard. But yeah, I mean, I guess

1322
01:08:13,320 --> 01:08:15,840
Speaker 1: you would think that they would probably do a better job.

1323
01:08:15,920 --> 01:08:18,479
Speaker 1: They would have the teleprompter up and right you you

1324
01:08:18,520 --> 01:08:22,280
Speaker 1: would think that these places are like well oiled machines, right,

1325
01:08:22,439 --> 01:08:24,880
Speaker 1: MSNBC is not a well oiled machine. I can assure

1326
01:08:24,880 --> 01:08:26,800
Speaker 1: you wouldn't you think though, for your very first show

1327
01:08:27,000 --> 01:08:29,200
Speaker 1: for the top rated program, that you would have everything

1328
01:08:29,280 --> 01:08:32,479
Speaker 1: like ready to go, locked, locked and loaded. And I

1329
01:08:32,479 --> 01:08:34,679
Speaker 1: mean also, I mean, look, I don't want to criticize

1330
01:08:34,680 --> 01:08:36,280
Speaker 1: her too much, but it's also one of those things

1331
01:08:36,320 --> 01:08:37,519
Speaker 1: where you kind of do have to roll with it.

1332
01:08:37,680 --> 01:08:40,840
Speaker 1: We've had our teleprompter breakdown several times, yeah, rising and

1333
01:08:40,840 --> 01:08:43,160
Speaker 1: if it's total, if it's a monologue, that's different, you

1334
01:08:43,160 --> 01:08:45,439
Speaker 1: can't really go with it. But there's a certain level

1335
01:08:45,439 --> 01:08:47,640
Speaker 1: of ad lib. I've seen it happen before live in

1336
01:08:47,680 --> 01:08:50,439
Speaker 1: studio at Fox and others. When the teleprompter goes down,

1337
01:08:50,520 --> 01:08:52,400
Speaker 1: people actually pretty good. I mean part of the reason.

1338
01:08:52,520 --> 01:08:54,880
Speaker 1: They'll just start reading off of their computer or you know,

1339
01:08:54,960 --> 01:08:57,400
Speaker 1: try and ad lib throw to something. Some anchors will

1340
01:08:57,400 --> 01:09:00,400
Speaker 1: always keep their scripts in front of them. Yeah, so

1341
01:09:00,439 --> 01:09:02,640
Speaker 1: that if that and they're like actually flipping through their

1342
01:09:02,680 --> 01:09:05,760
Speaker 1: script as the teleprompter is rolling, just in case the

1343
01:09:05,800 --> 01:09:08,240
Speaker 1: teleprompter breaks down, that they have it there for them.

1344
01:09:08,439 --> 01:09:10,400
Speaker 1: That always seemed like too much trouble for me. I

1345
01:09:10,479 --> 01:09:13,200
Speaker 1: just I just live on the edge and see what happens.

1346
01:09:14,240 --> 01:09:16,559
Speaker 1: But yeah, I mean listen, I have been there. It

1347
01:09:16,640 --> 01:09:18,960
Speaker 1: is not an easy thing to manage, I'm sure, especially

1348
01:09:19,000 --> 01:09:21,080
Speaker 1: when it's your first night and you're probably a little

1349
01:09:21,120 --> 01:09:22,840
Speaker 1: nervous and jittery about how it's all going to go.

1350
01:09:23,200 --> 01:09:26,439
Speaker 1: The ratings are in for how it did go, and

1351
01:09:26,520 --> 01:09:28,519
Speaker 1: let's put this up on the screen. I like the

1352
01:09:28,560 --> 01:09:30,960
Speaker 1: deadline kind of kind of spends this in her favor.

1353
01:09:30,960 --> 01:09:33,800
Speaker 1: They say. Alex Wagner draws solid two million viewers to

1354
01:09:33,880 --> 01:09:37,719
Speaker 1: debut of MSNBC primetime show Hannity, tops the time slot.

1355
01:09:37,720 --> 01:09:40,160
Speaker 1: But if you dig into the some of the details here,

1356
01:09:41,360 --> 01:09:45,520
Speaker 1: she was down. So Rachel did actually record an episode

1357
01:09:45,680 --> 01:09:51,639
Speaker 1: on Monday, and Alex's ratings were already down twenty seven

1358
01:09:51,760 --> 01:09:55,960
Speaker 1: percent from what Rachel did. So in her debut show,

1359
01:09:56,040 --> 01:09:58,040
Speaker 1: when you would think there would be some interest excitement

1360
01:09:58,080 --> 01:10:00,840
Speaker 1: of whatever her, you know already you've got twenty seven

1361
01:10:00,880 --> 01:10:04,240
Speaker 1: percent of the audience is like nah, good, well, yeah,

1362
01:10:04,280 --> 01:10:06,639
Speaker 1: go ahead. And you also had you know, they always

1363
01:10:06,680 --> 01:10:08,599
Speaker 1: love to talk about like the top line, like oh,

1364
01:10:08,640 --> 01:10:12,759
Speaker 1: two million people watched, But inside the cable news industry,

1365
01:10:13,320 --> 01:10:16,960
Speaker 1: no one cares about the total audience numbers. The only

1366
01:10:17,040 --> 01:10:19,600
Speaker 1: thing that matters is the demo because the rest of

1367
01:10:19,640 --> 01:10:23,400
Speaker 1: the audience is actually literally worthless because you don't sell

1368
01:10:23,439 --> 01:10:26,519
Speaker 1: ads based on that total number. You sell ads based

1369
01:10:26,560 --> 01:10:29,720
Speaker 1: on who is watching in the key twenty five to

1370
01:10:29,720 --> 01:10:34,160
Speaker 1: fifty four demographic. And in that key demo she had

1371
01:10:34,320 --> 01:10:38,559
Speaker 1: one hundred and eighty three thousand viewers, which is a lot.

1372
01:10:38,760 --> 01:10:41,639
Speaker 1: That's insane. Yeah, people need to really like so okay,

1373
01:10:41,720 --> 01:10:43,479
Speaker 1: there are two million people who are watching it, but

1374
01:10:43,560 --> 01:10:46,960
Speaker 1: only one hundred and eighty three thousand of them, which old.

1375
01:10:47,000 --> 01:10:51,160
Speaker 1: These audiences are too and this is across the board Fox, CNN, MSNBC.

1376
01:10:51,560 --> 01:10:54,920
Speaker 1: Their audiences are so old. Yeah, CNN was one hundred

1377
01:10:54,920 --> 01:10:57,840
Speaker 1: and seventy six thousand, Hannity shocking four hundred thousand, but

1378
01:10:57,880 --> 01:11:00,519
Speaker 1: I guess he has so many more viewers that probably

1379
01:11:00,800 --> 01:11:04,799
Speaker 1: is relatively proportional. That's a perfect example, right of listen.

1380
01:11:04,880 --> 01:11:06,760
Speaker 1: I mean again, I don't want to dunk too much,

1381
01:11:06,840 --> 01:11:10,400
Speaker 1: but like here on breaking points, every single person who

1382
01:11:10,439 --> 01:11:12,920
Speaker 1: watches this show is in the key demo, and you know,

1383
01:11:13,080 --> 01:11:15,400
Speaker 1: SUEE can. It will often have single clips with one

1384
01:11:15,479 --> 01:11:18,120
Speaker 1: hundred and eighty thousand viewers like that, it's just so

1385
01:11:18,320 --> 01:11:21,599
Speaker 1: obvious to see that if you start including the podcast numbers,

1386
01:11:21,640 --> 01:11:25,200
Speaker 1: which again same demographic. Like the disconnect in the people

1387
01:11:25,280 --> 01:11:29,840
Speaker 1: who consume media and the general biography is just insane

1388
01:11:29,880 --> 01:11:32,760
Speaker 1: whenever you really consider it, and look, it's a dying

1389
01:11:32,800 --> 01:11:35,360
Speaker 1: industry in that way, the last people who are watching

1390
01:11:35,439 --> 01:11:38,040
Speaker 1: it won't be people who are the MSNBC is just

1391
01:11:38,080 --> 01:11:40,559
Speaker 1: going to turn into Fox where all of the ads

1392
01:11:40,560 --> 01:11:44,360
Speaker 1: are like by gold now you know, by insulin. It's

1393
01:11:44,400 --> 01:11:48,479
Speaker 1: all like pharmaceutical ads. So it's like ninety percent pharma,

1394
01:11:48,520 --> 01:11:51,759
Speaker 1: which is insane too that it's even allowed, which actually

1395
01:11:51,800 --> 01:11:54,200
Speaker 1: tells you a lot about media what's allowed, And I think,

1396
01:11:54,200 --> 01:11:55,640
Speaker 1: what are we one of the only two countries on

1397
01:11:55,680 --> 01:11:59,160
Speaker 1: Earth that even allows direct pharmaceutical advertising. Doesn't seem to

1398
01:11:59,200 --> 01:12:01,920
Speaker 1: make anytime people from other countries and they're like, what

1399
01:12:01,960 --> 01:12:04,880
Speaker 1: the hell is it? Ask your doctor, what are you

1400
01:12:04,960 --> 01:12:08,360
Speaker 1: talking about? Yeah, we get used to it. We could

1401
01:12:08,360 --> 01:12:11,080
Speaker 1: come to, you know, feel like it's natural, but it

1402
01:12:11,120 --> 01:12:13,840
Speaker 1: really is very disturbing the sorts of pharmaceutical ads were

1403
01:12:13,880 --> 01:12:17,960
Speaker 1: subjected to. So anyway, early indications of how that's all

1404
01:12:18,000 --> 01:12:20,519
Speaker 1: going to go, I think, you know, MSNBC really has

1405
01:12:20,560 --> 01:12:23,880
Speaker 1: a problem here. Especially heading into whatever the next presidential

1406
01:12:23,920 --> 01:12:27,559
Speaker 1: era is going to be, because now she Rachel is

1407
01:12:27,600 --> 01:12:30,479
Speaker 1: going to come back. I guess for big events, debate

1408
01:12:30,640 --> 01:12:33,360
Speaker 1: nights and election nights and all that sort of stuff.

1409
01:12:34,040 --> 01:12:36,559
Speaker 1: But they just really didn't cultivate any sort of an

1410
01:12:36,600 --> 01:12:38,600
Speaker 1: internal bench. The fact that they had to sort of

1411
01:12:38,600 --> 01:12:41,479
Speaker 1: reach back and grab someone from a past era and

1412
01:12:41,520 --> 01:12:44,479
Speaker 1: slaughter in tells you a lot about what they have

1413
01:12:44,680 --> 01:12:47,880
Speaker 1: up and coming. Of course, they would never think of, hey,

1414
01:12:47,920 --> 01:12:49,800
Speaker 1: maybe in this new era, we should go for someone

1415
01:12:49,800 --> 01:12:52,639
Speaker 1: who you know, is an independomy has some No, they wouldn't.

1416
01:12:52,680 --> 01:12:55,200
Speaker 1: That's definitely off the table, because those people might have

1417
01:12:55,200 --> 01:12:57,160
Speaker 1: a little bit of a mine of their own. Oh yeah, exactly,