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Speaker 1: Hey, guys, Saga and Crystal here.

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Speaker 2: So a very concerning development with regard to First Amendment rights.

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Speaker 4: We can put this up on the screen. The FBI

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Speaker 4: executed a.

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Speaker 2: Search warrant on a reporter's home from the Washington Post.

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Speaker 2: Here's what Cash Betel said this morning. The FBI and

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Speaker 2: partners execute a search warrant of an individual at the

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Speaker 2: Washington Post who is found to be allegedly obtaining and

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Speaker 2: reporting classified, sensitive military information from a government contractor, endangering

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Speaker 2: our warfighters and compromising America's national security.

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Speaker 4: The alleged leaker the rested.

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Speaker 2: This week and is in custody, and this is an

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Speaker 2: ongoing investigation. We will have no further comment. Let's go

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Speaker 2: ahead and put this C two up on the screen.

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Speaker 2: This is the Washington Post report with regard to this

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Speaker 2: search warrant. So they say the FBI executed a search

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Speaker 2: warrant Wednesday morning at a Washington Post reporter's home as

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Speaker 2: part of an investigation to a government contractor accused of

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Speaker 2: i legally retaining classified government materials. That reporter, Hannah Nateanson,

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Speaker 2: was at her home in Virginia at the time of

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Speaker 2: the search. Federal agents searched her home and her devices,

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Speaker 2: seizing her phone, two laptops, and a Garmin watch. One

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Speaker 2: of the laptops was her personal computer, the other a

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Speaker 2: Post issued laptop. The Post also received a subpoena Wednesday

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Speaker 2: morning seeking information related to the same government contractor. According

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Speaker 2: to a person familiar with the law enforcement action, the

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Speaker 2: subpoena asked the Post to hand over any communications between

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Speaker 2: the contractor and other employees. They go on to say

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Speaker 2: it is exceptionally rare for law enforcement officials to conduct

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Speaker 2: searches at reporters homes. Regulations intended to protect a free

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Speaker 2: press are designed to make it difficult to use aggressive

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Speaker 2: law enforcement tactics against reporters to obtain the identities of

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Speaker 2: their sources or information. They also talk about the email

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Speaker 2: that was sent from the executive editor, Matt Murray of

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Speaker 2: the Post Newsroom, who called it an extraordinary aggressive action

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Speaker 2: that is deeply concerning and raises profound questions and concern

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Speaker 2: around the constitutional protections for our work. And I think

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Speaker 2: that is the correct way to look at it. Obviously,

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Speaker 2: reporting classified information is not illegal and is protected by

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Speaker 2: the First Amendment and the subject of much litigation over

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Speaker 2: a lot of time. We'll talk about the James Rosen

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Speaker 2: case back from the Obama administration in a moment, but

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Speaker 2: just to give you a little bit more detail about

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Speaker 2: what the backstory is here, it can put C three

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Speaker 2: up on the screen. It looks like reporting suggests from

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Speaker 2: Kyle Chaney, who's the legal analyst over at Politico. Reporting

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Speaker 2: suggests the search weren't for Post reporter hand In Natanson's

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Speaker 2: homestem from the case of a rail Perez Lagonus, who

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Speaker 2: is currently facing charges of illegally removing and retaining classified information.

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Speaker 2: So listen, no surprise that the government will go after leakers.

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Speaker 2: It is very disconcerting that you would have this aggressive

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Speaker 2: search of a reporter who may have reported on some

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Speaker 2: of this classified information. And the post from Cash Batal too,

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Speaker 2: who doesn't say she's criminal, but is very you know,

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Speaker 2: is sort of framing her activities as a journalist as

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Speaker 2: being counter to national security is also I think very

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Speaker 2: unnerving and very you know, inappropriate.

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Speaker 1: Well beyond that, it's a terrible.

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Speaker 3: This is why the Assange case became so important, because

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Speaker 3: he was charged under the Espionage Act for leaking classified

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Speaker 3: information or obtaining classified information.

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Speaker 1: That's literally our job.

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Speaker 3: By the way, under this standard, I would be I

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Speaker 3: could be prosecuted, Ryan could be prosecuted. You could as well,

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Speaker 3: and or not prossecut but subject you know, to a leak.

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Speaker 3: Let's say, if somebody who had leaked to me. I

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Speaker 3: mean it's happened many times classified information. Most recently, I

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Speaker 3: think in my case was Venezuela with the USAID stuff.

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Speaker 3: These were top secret documents that were leaked to us.

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Speaker 3: We published them, vetted them, ask the State Department for comment.

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Speaker 3: Let's say they were prosecuting the people who leaked that

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Speaker 3: to us. They could then skiize.

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Speaker 1: My work laptop my Apple Watch if I or my whoop.

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Speaker 3: Data I guess if I had. We'm not sure exactly

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Speaker 3: why that's relevant. And my personal cell phone all of

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Speaker 3: to for the prosecution of that person. Now, the reason

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Speaker 3: why you don't do that is because we did not

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Speaker 3: commit a crime, or at least currently there is no

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Speaker 3: law of a crime. The person who did that, you

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Speaker 3: could you could say that they were being prosecuted for

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Speaker 3: a crime in this particular case, though the precedent has

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Speaker 3: long been one. And this is as we'll all show

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Speaker 3: you right wingers have been freaking out about for a

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Speaker 3: long time. Is it is a direct threat against the

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Speaker 3: First Amendment, in particular about the right to a free press.

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Speaker 3: And in this case, while she is not being prosecuted,

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Speaker 3: the detention of her personal laptop and information is then

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Speaker 3: to try to be used to potentially not just look

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Speaker 3: in this case, but in any leaker, in order to

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Speaker 3: use your information as a potential lead to other people

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Speaker 3: who are leaking to you. This has a long I

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Speaker 3: mean to say that it's never happened before, not true.

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Speaker 3: I mean the obotomister Nixon. You know, there's been many

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Speaker 3: cases where this type is up. But in general, we

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Speaker 3: don't see these types of prosecutions or others not just

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Speaker 3: over concerned about press freedom, but you know, as we're

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Speaker 3: all about to show everybody with the fuck with Fox News.

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Speaker 3: It often like when there's a government in power who

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Speaker 3: doesn't like some sort of particular media outlet. Oh, it

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Speaker 3: just so happens they end up getting their phone searched

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Speaker 3: or whatever. Yeah, and that's what happened, appears to have

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Speaker 3: happened in this case.

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Speaker 2: Yeah, I mean, imagine, just think about if this was

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Speaker 2: standard operating procedure anytime you report classified information, which is

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Speaker 2: the job of journalists and you know the Pentagon's like

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Speaker 2: rules about reporting notwithstanding that is the job of you know,

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Speaker 2: especially national security reporters, that every time you could possibly

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Speaker 2: be subject to this kind of aggressive search and seizure

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Speaker 2: of your work and personal property, that's insane and obviously

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Speaker 2: would have a tremendously chilling impact, chilling effect on the

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Speaker 2: type of reporting that was done because people would be fearful.

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Speaker 2: I mean, that's the whole point, is to make people

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Speaker 2: fearful that they would be subject to similarly, you know,

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Speaker 2: invasive activities from the government. We've been referring to as

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Speaker 2: James Rosen Kay I don't know if you guys remember this.

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Speaker 2: Wee put this up on the screen. This was a

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Speaker 2: huge scandal, and rightfully so, under the Obama administration. James Rosen,

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Speaker 2: this Fox News reporter, and they claimed that his reporting,

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Speaker 2: because he encouraged a leaker to leak, that that made

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Speaker 2: him criminally liable and that he was a co conspirator

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Speaker 2: under the Espionage Act. And that's how they tried to

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Speaker 2: justify this. Now, this they didn't get very far with this.

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Speaker 2: There was huge, you know, blowback both from the public

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Speaker 2: and from the courts. But it was deeply seen as

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Speaker 2: and again rightfully so deeply troubling because it was an

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Speaker 2: attempt to effectively criminalize standard issue reporting practices, where of course,

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Speaker 2: if you're a journalist, you want people to leak to

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Speaker 2: you want to be able to shed light on things

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Speaker 2: that the government wants to keep secret.

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Speaker 4: And so they tried to use the fact that you.

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Speaker 2: Know, he was in connection with this leaker and was

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Speaker 2: trying to you know, get information from them as an

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Speaker 2: actually criminal activity. And it is very similar, like you said,

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Speaker 2: to the Assage case, very similar theory there. Assange was

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Speaker 2: prosecuted under the Trump administration. Obama had looked at the

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Speaker 2: Obama administration had looked at the Assage case and said,

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Speaker 2: we can't figure out how to prosecute this without criminalizing journalism.

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Speaker 2: The Trump administration decided to go forward with that and

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Speaker 2: make a very similar argument that actually he was a

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Speaker 2: co con spirit because he had encouraged these series of leaks.

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Speaker 1: Yeah, which is great.

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Speaker 3: I mean even in this the Rose and case, I'd forgotten,

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Speaker 3: but the line in heres they also sees phone records

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Speaker 3: from more than twenty lines used by the Associated Press,

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Speaker 3: again trying to look at the people going to the

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Speaker 3: AP and this is unfortunately, this has been going back

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Speaker 3: all the way to the War on Terror. Prior to

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Speaker 3: ninety nine, stuff like this mostly didn't happen again during

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Speaker 3: the seventies.

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Speaker 1: All that I'm not going to dispute in the.

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Speaker 3: Sixties and seventies, But between the seventies and the nineties

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Speaker 3: it was a generally well established norm. Then the War

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Speaker 3: on Terror happened, and all of a sudden, spying on

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Speaker 3: journalists and or the collaboration and direct oversight of media

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Speaker 3: by the government ramped up to the n degree. I mean,

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Speaker 3: there's the famous story about the warrantless spying from the

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Speaker 3: NSA where Bush brings the journalists who had this story

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Speaker 3: into the Oval office from the New York Times and

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Speaker 3: he says, if you guys publish this, Americans are going

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Speaker 3: to die. And by the way, they shamefully actually held

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Speaker 3: off on publishing the story and didn't end up doing

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Speaker 3: it for I think it was several something like that,

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Speaker 3: specifically because of this warning directly from the President over

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Speaker 3: where they had a story where it was directly illegal

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Speaker 3: warrantless spine. From that point forward, I think since nine

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Speaker 3: to eleven there has been this overwrought approach after wiki leaks,

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Speaker 3: and largely that's because the reason why so much classified

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Speaker 3: information and stuff like this has been leaked now over

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Speaker 3: the years is because from the War on Terror and

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Speaker 3: WMD and all that, from the beginning, what.

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Speaker 1: Do we know.

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Speaker 3: They are constantly lying, They are constantly not telling the truth.

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Speaker 3: That is why many people in government then lead classified

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Speaker 3: in fine they do so have their own accord and

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Speaker 3: they know the risks and they could definitely be prosecuted.

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Speaker 3: I don't think they should be, but whatever, that's the law, right,

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Speaker 3: so they could be. But going and seizing people's phone records,

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Speaker 3: as you said, it's not just about chilling it really,

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Speaker 3: I think is about operationalizing and using the law in

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Speaker 3: this case to go after media outlets that they don't like.

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Speaker 3: And I think why we're trying to tell a story

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Speaker 3: this way is this has been normmalized, normalized, normalized, normalized,

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Speaker 3: And then what does the Trump people do? They always

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Speaker 3: just take the dial and turn it up to twelve.

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Speaker 3: This is why it's important to speak out at that time.

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Speaker 3: And of course, you know a lot of mainstream media

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Speaker 3: didn't say anything about the James Roseen case. Some did,

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Speaker 3: I'll give credit you know where it's due, but a

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Speaker 3: lot of people were like, oh, it's Fox News, screw.

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Speaker 1: Them, We're pro Obama. It's like, well, this is a problem.

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Speaker 1: This is how it gets normalized.

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Speaker 2: Yeah, and I do think it's worth dwelling onto those

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Speaker 2: new Pentagon press core rules. Oh yeah, to a mass

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Speaker 2: exodus of every mainstream outlet set, even including Fox News.

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Speaker 1: That's just mainstream, like maya former employer Daily Caller right.

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Speaker 2: Then, Yeah, they were like, we can't agree to this

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Speaker 2: because it required them to say that they would not

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Speaker 2: try to pursue any sort of classified information that staffers

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Speaker 2: were not explicitly authorized from the top brass to discuss.

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Speaker 2: So it was sought to ban any sort of reporting

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Speaker 2: that the government would not want to come out. So

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Speaker 2: now you have just the most embarrassing group of sick

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Speaker 2: advans that are in there asking the dumbest possible questions

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Speaker 2: by and large, and so you know, this is this

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Speaker 2: is the view that they have that it should be

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Speaker 2: basically not allowed for you to report things that they

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Speaker 2: don't like. And this isn't I think this should be

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Speaker 2: seen as sort of part and parcel of that attitude

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Speaker 2: that comes directly from the President of the United States.

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Speaker 2: The other thing to say about this is yans Washington

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Speaker 2: Post reporter owned by Jeff Bezos. Like Bezos have anything

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Speaker 2: to I haven't seen anything yet.

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Speaker 4: Jeff Bezos, who's busy.

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Speaker 2: You know he wants to cut ale up to Trump

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Speaker 2: and get his goodies from this administration, be able to

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Speaker 2: do whatever he wants.

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Speaker 4: I don't see.

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Speaker 2: Him coming out and standing up for his reporters, standing

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Speaker 2: up for First Amendment protections.

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Speaker 4: That statement still waiting on that one.

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Speaker 1: Why would he do that? All he cares about is

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Speaker 1: his yacht, Saint Bart's life. What I'm not I would

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Speaker 1: go off if it's a.

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Speaker 2: Lot of psychopana about these like nerds who become billionaires, you.

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Speaker 3: Know, that's right, and testosterone replacement therapy that's at a

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Speaker 3: much older age too, some of the problems that that

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Speaker 3: apparently has wrought on all of us. But yeah, broadly

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Speaker 3: that's the issue as well, is that back in the

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Speaker 3: day you would have these media owners, they were intertwined

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Speaker 3: with the state, like don't get me wrong, Brams directly

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Speaker 3: oligarical with having immense interests before the United States government

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Speaker 3: makes it so that in this case, you're just gonna

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Speaker 3: roll over and take it. Why because you don't want

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Speaker 3: Amazon to get targeted or you yourself, you know, you're

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Speaker 3: living the high life on some yacht that's so big

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Speaker 3: they have to take a part of bridge in Amsterdam.

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Speaker 3: That's all you actually care about. So yeah, this pitoy

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Speaker 3: paper which you bought for ego purposes under Obama, now

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Speaker 3: it's just become a nuisance and you just use it,

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Speaker 3: you know, for your own purposes occasionally to try and

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Speaker 3: boost your overall stock price or your personal tax advantage.

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Speaker 1: That's it, That's what it's all about.

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Speaker 2: Yeah, that's interesting dichotomy between this story and the next one,

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Speaker 2: because you have apparently the billionaires of the world like

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Speaker 2: terrified of stepping out of line. But we've got a

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Speaker 2: worker here at Ford who was not who was not afraid.

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Speaker 2: So okay, so I'm about to show you this video

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Speaker 2: of Trump flipping off and saying like FU to this

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Speaker 2: Ford worker. Trump went to a Ford plant in Dearborn, Michigan.

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Speaker 2: He's doing the whole you know tour with them, blah

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Speaker 2: blah blah, and there was a Ford worker there who

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Speaker 2: called him a pedophile protector and Trump was not too

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Speaker 2: happy about that. I can put this up on the screen.

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Speaker 2: I don't know like this is. I haven't seen quite

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Speaker 2: this reaction saying f you pointing at the guy FU.

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Speaker 2: And then there's the middle finger there right at the

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Speaker 2: end given to this guy. And then put the next

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Speaker 2: one up on the screen. Ford looks like they cave

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Speaker 2: to pressure. The UAW worker who yelled pedophile protector at

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Speaker 2: Trump today has been suspended, but he says he has

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Speaker 2: absolutely no regrets. I'm gonna go ahead and look up

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Speaker 2: his quote because he had some sort of epic quotes

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Speaker 2: in this regard, but quite extreme, ordinary moment. There sager

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Speaker 2: coming from this worker. And before let me put d

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Speaker 2: three up on the screen the UAW. He's a member

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Speaker 2: of the United Auto Workers. This is why, folks, it's

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Speaker 2: important to be in a union, because they're standing up

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Speaker 2: for his rights. They say, the UAW is speaking up

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Speaker 2: and throwing a support behind a member Ford Motor Company

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Speaker 2: employee from the automaker suspended after exchange with President Trump

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Speaker 2: inside a Dearborn factory. So they are going to fight

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Speaker 2: for this worker. And because he's part of that union,

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Speaker 2: he will have their team behind him. He will have

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Speaker 2: a contract in place that says when they can and

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Speaker 2: can't fire him. So if you're just you know, an

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Speaker 2: at will employee without the backing of a union, then

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Speaker 2: they would let you go and not think twice about it.

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Speaker 2: But they're going to have to go through a process

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Speaker 2: and they'll be an investigation, and he'll help people on

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Speaker 2: the side to.

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Speaker 4: Back him up.

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Speaker 3: I didn't realize actually that you couldn't be fired for

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Speaker 3: something like this. But beyond that, the question I think

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Speaker 3: more broadly for this is here you have a UAW

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Speaker 3: worker in Michigan. This is the exact demographic which the

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Speaker 3: Trump people we're very proud of winning over. From twenty

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Speaker 3: sixteen onwards, we know that this was a problem within

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Speaker 3: UAW even though they were very supportive of Kamala. A

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Speaker 3: huge number of their ranks voted for Trump. A huge

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Speaker 3: number of union households voted for Trump. This is exactly

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Speaker 3: the type of demographic which you're proud of, and you

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Speaker 3: can say we're becoming a more working class.

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Speaker 1: Party, right.

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Speaker 3: Well, the issue then becomes if you start to have

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Speaker 3: confrontations and actually, you and I saw this. Do you

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Speaker 3: remember when Biden went face to face with that worker.

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Speaker 3: I think it was maybe even in Michigan where the

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Speaker 3: guy yelled at him over the Iraq War and he

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Speaker 3: told him to shut up. This was back in twenty

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Speaker 3: twenty campaign, I want to say, but it was a

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Speaker 3: Canarian the cold mine of like, oh man, this is interesting.

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Speaker 1: Like you've got people the dog.

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Speaker 4: Face lying pony sing that one or the look fat one.

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Speaker 1: No that was the fact guy, which he was right.

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Speaker 1: I'll defend Biden on that one. No, there was a

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Speaker 1: separate conversation, but the point was that there was a

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Speaker 1: union worker.

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Speaker 3: It was directly confronting Biden and it was interesting because

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Speaker 3: you're like, oh, you know, this is a traditional democratic

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Speaker 3: democratic demographic, not really that you were going to see.

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Speaker 1: In this case, you see a couple of things.

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Speaker 3: Number one is just willing to like heckle, which you

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Speaker 3: know I wouldn't do it in my workplace if I

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Speaker 3: were an employee, but whatever. The second though, is, notice

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Speaker 3: the Epstein story and what do we hear consistently from

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Speaker 3: the MAGA propagandists. The Epstein story is fake. It doesn't

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Speaker 3: matter what do you see right there, Like what somebody

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Speaker 3: chooses to.

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Speaker 2: Yell is usually like it's not one moment, Yeah, it's

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Speaker 2: this one moment.

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Speaker 1: This is your moment on the stage.

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Speaker 3: You probably know you're going to get fired, okay, because

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Speaker 3: you're embarrassing the company you choose, Like you took your

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Speaker 3: one shot while the president was here, and what do

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Speaker 3: you say, pedophile protector. I again point to that as

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Speaker 3: evidence of how much the Epstein story matters, and why

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Speaker 3: I think that he got so upset because he know

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Speaker 3: in fact, there's all this reporting coming out now about

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Speaker 3: how furious they are with Pambondi for humiliating them over

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Speaker 3: the DOJ the Epstein problem, creating the Epstein Files Parency

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Speaker 3: Act Now from which passed and they ended up having

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Speaker 3: to sign into law, which they're now not even in

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Speaker 3: compliance of this story will not die because they came

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Speaker 3: into office, they promised to release it, they didn't release it,

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Speaker 3: and now the entire country thinks that they're in on

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Speaker 3: a cover up, regardless of whether they are not, which

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Speaker 3: I think we all think that they are. And so

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Speaker 3: that I think proved it beyond anything. How real this was, Like,

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Speaker 3: it was very validating because I've been saying for years,

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Speaker 3: I'm like for months now, I'm like, you guys just

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Speaker 3: don't get it. Like what people see in the Epstein

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Speaker 3: thing is that if you're willing to lie to me

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Speaker 3: about this, you will lie to me about everything.

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Speaker 2: Well, and what it also tells you is that, well,

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Speaker 2: maybe a lot of the press doesn't get it.

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Speaker 4: Yes, Donald Trump gets it.

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Speaker 2: Yes, Why because he understands the power of a brand

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Speaker 2: more than anything. That is what he really gets. And

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Speaker 2: big part of his brand was he's the outsider. He's

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Speaker 2: going to expose the rupt elites. And so when you're

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Speaker 2: seen and I don't even think it's like disputable by

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Speaker 2: the facts that he's a pedophile protector at this point,

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Speaker 2: I mean legally, like legally speaking, there was a law

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Speaker 2: that was passed. They were supposed to release the files.

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Speaker 2: They didn't do it. They were supposed to justify all

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Speaker 2: of their all of their reactions, they haven't done it.

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Speaker 2: So it's just like it's just a fact what this

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Speaker 2: man said to be. To be perfectly honest, you are

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Speaker 2: a pedophile protector at this point, and Trump clearly it

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Speaker 2: got under his skin, like it got to him.

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Speaker 3: Oh, Chris, you haven't listened to the people who are like, well,

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Speaker 3: they were teenage girls.

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Speaker 1: Who oh I know.

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Speaker 2: Nickquentzus's new line is that, yes, it's actually a Phoebophelia

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Speaker 2: is the technical term here.

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Speaker 1: There are teenagers.

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Speaker 2: You're protecting a phoeba files.

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Speaker 1: How about that?

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Speaker 2: So let me give you the quotes from this. This

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Speaker 2: hero's name is TJ. Sabula, and in an interview with

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Speaker 2: The Washington Post, he said as far as calling him out,

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Speaker 2: he had definitely no regrets whatsoever.

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Speaker 4: Says after Ford.

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Speaker 2: Had suspended him, he said he was concerned about his

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Speaker 2: job security after the incident, claiming he had been targeted

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Speaker 2: for political retribution and for embarrassing Trump in front of

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Speaker 2: his friends.

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Speaker 4: Correct quote.

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Speaker 2: I don't feel as though fate looks upon you often,

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Speaker 2: and when it does, you better be ready. To seize

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Speaker 2: the opportunity, and today I think I did that.

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Speaker 5: Wow.

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Speaker 1: Amazing, seize himself as a great man of history.

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Speaker 4: Amazing.

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Speaker 2: Hey, listen, he had his moment, he took his shot

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Speaker 2: and it got under that.

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Speaker 4: I mean, that was the goal.

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Speaker 2: Right, There's now a GoFundMe that's been created for him,

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Speaker 2: and let me the Yeah, what's the late full number?

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Speaker 2: The last I saw was like seven hundred thousand dollars,

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Speaker 2: but this one now that I just pulled up says

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Speaker 2: three hundred and thirty. In that it's been donations paused,

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Speaker 2: so there might be a different one, but in any case,

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Speaker 2: he has definitely they have raised hundreds of thousands of

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Speaker 2: dollars for this man of grateful Americans, grateful for his

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Speaker 2: comments and wanting to you know, wanting to make up

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Speaker 2: for the fact that he may be losing his job

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Speaker 2: over all of this, although I do I think there's

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Speaker 2: a possibility he was able to retain his job simply

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Speaker 2: because of the union's protections that he has.

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Speaker 1: Yeah, and the unions must be good because if you

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Speaker 1: can do something like that and keep your.

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Speaker 2: Job, that's why well, that's I mean, that's like a

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Speaker 2: big part of what they do is if there is

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Speaker 2: you know, if somebody is if there's a grievance in

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Speaker 2: the workplace, then they there's a process where they go

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Speaker 2: in and they you know, have to address that. Or

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Speaker 2: if someone gets fired and it's unjust according to the contract,

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Speaker 2: then they'll fight to get their job back and they'll

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Speaker 2: be like a serious of negotiations and arbitration on that.

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Speaker 4: So that's yes. So there you go, people, that's why

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Speaker 4: you you're.

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Speaker 1: Impressive, why unions matter. You're able to do that as

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Speaker 1: a union.

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Speaker 2: Gets Yeah, like that because any other if you if

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Speaker 2: you don't have a union and you need that.

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Speaker 3: Let's be like you're gonna humiliated the company in front

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Speaker 3: of the president, like you cause a real problem, like

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Speaker 3: any normal workplace, you're going to get fired.

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Speaker 6: And I think he probably knew he was going to

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Speaker 6: get fired. Even in that case, you're like understood it

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Speaker 6: caused real problem. He understood the risk because now you've

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Speaker 6: got Jim Farley over there begging Trump about tariffs and

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Speaker 6: he has to worry about this guy rdy yelling pedophile protector.

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Speaker 1: But what that's just purely from the view of the employer.

439
00:21:02,880 --> 00:21:05,840
Speaker 3: I do think that the ultimate thing that this proves

440
00:21:06,160 --> 00:21:11,560
Speaker 3: is how potent the Epstein story remains and how disastrous

441
00:21:11,640 --> 00:21:14,719
Speaker 3: the handling of the administration has had on this. And

442
00:21:14,760 --> 00:21:18,680
Speaker 3: you can see it is a real thing. Like, as

443
00:21:18,720 --> 00:21:21,399
Speaker 3: you said, he had one thing. He could have come

444
00:21:21,480 --> 00:21:22,879
Speaker 3: up with a lot of shit, right. He could have

445
00:21:22,920 --> 00:21:25,760
Speaker 3: said something like warmonger about Venezuela.

446
00:21:25,800 --> 00:21:26,640
Speaker 1: No, yeah, wasn't that.

447
00:21:26,800 --> 00:21:29,960
Speaker 3: He could have said someone about inflation high prosecutor, Nope, wasn't.

448
00:21:29,960 --> 00:21:32,320
Speaker 3: He could have said someone about ice, could have said

449
00:21:32,320 --> 00:21:32,879
Speaker 3: a lot of things.

450
00:21:33,000 --> 00:21:33,800
Speaker 1: He chose Epstein.

451
00:21:33,920 --> 00:21:36,280
Speaker 3: Ye, right, And so please take that to the bank,

452
00:21:36,520 --> 00:21:38,720
Speaker 3: just to show you all how important the story remains.

453
00:21:38,760 --> 00:21:39,679
Speaker 4: There's one more piece here.

454
00:21:39,680 --> 00:21:42,639
Speaker 2: We've got some pulling of working class voters because I

455
00:21:42,680 --> 00:21:44,560
Speaker 2: think it is time to adjust a little bit of

456
00:21:44,560 --> 00:21:47,600
Speaker 2: our priors on who is supporting Trump. At this point,

457
00:21:47,640 --> 00:21:50,480
Speaker 2: I was digging into put de four up on the screen. Guys,

458
00:21:50,480 --> 00:21:52,760
Speaker 2: I can see what we got here. So you love

459
00:21:52,920 --> 00:21:55,879
Speaker 2: is really useful because they do all of these different

460
00:21:55,880 --> 00:21:58,119
Speaker 2: demographic breakdowns, and one of the ones that they do

461
00:21:58,280 --> 00:22:01,159
Speaker 2: is by income level. And so this is I know

462
00:22:01,160 --> 00:22:02,560
Speaker 2: there's a lot of numbers on the screen, but I'll

463
00:22:02,560 --> 00:22:05,359
Speaker 2: break it down for you. So this is Trump's job approval,

464
00:22:05,800 --> 00:22:07,560
Speaker 2: And if you look all the way over there on

465
00:22:07,600 --> 00:22:11,399
Speaker 2: the right, you have it by income, and his lowest

466
00:22:11,800 --> 00:22:15,760
Speaker 2: ratings are with the lowest income demographics, So people who

467
00:22:15,800 --> 00:22:18,800
Speaker 2: make less than fifty k, which this guy is an autoworker,

468
00:22:18,800 --> 00:22:21,000
Speaker 2: he probably makes more than fifty K, but in any case,

469
00:22:21,640 --> 00:22:25,000
Speaker 2: you know, people making under fifty k, they have only

470
00:22:25,040 --> 00:22:28,280
Speaker 2: a thirty four percent approval rating. The fifty hunt to

471
00:22:28,280 --> 00:22:30,879
Speaker 2: one hundred k bracket has it at forty six, and

472
00:22:30,920 --> 00:22:32,960
Speaker 2: the one hundred k plus has it at forty four.

473
00:22:33,400 --> 00:22:36,479
Speaker 2: So I went through these some of the other questions

474
00:22:36,560 --> 00:22:39,840
Speaker 2: that they asked, including about, you know, his approval on

475
00:22:39,880 --> 00:22:44,000
Speaker 2: the economy, his approval on inflation, his approval on taxes.

476
00:22:44,440 --> 00:22:49,080
Speaker 2: In every single instance, the lowest ratings came from this

477
00:22:50,000 --> 00:22:55,080
Speaker 2: class demographic. He was at like twenty something percent on

478
00:22:55,200 --> 00:22:58,920
Speaker 2: the economy with people who are making less than fifty K.

479
00:22:59,480 --> 00:23:03,400
Speaker 2: And obviously a core part of his appeal and his

480
00:23:04,160 --> 00:23:08,000
Speaker 2: coalition and what Republicans have been so excited about, was

481
00:23:08,040 --> 00:23:11,040
Speaker 2: that they were appealing to these lower income and working

482
00:23:11,080 --> 00:23:14,359
Speaker 2: class voters, totally different from the Republican Party of the

483
00:23:14,440 --> 00:23:17,240
Speaker 2: plat past. It looks like that is where Trump has

484
00:23:17,320 --> 00:23:20,960
Speaker 2: lost ground. More than any other, you know, at least

485
00:23:20,960 --> 00:23:22,800
Speaker 2: income group, which I think is you know, I think

486
00:23:22,840 --> 00:23:24,880
Speaker 2: is really important. The other place that we've talked about, too,

487
00:23:25,000 --> 00:23:27,280
Speaker 2: is with young voters, where there was a lot of

488
00:23:27,320 --> 00:23:31,439
Speaker 2: excitement about him making huge improvements over previous Republicans, and

489
00:23:31,560 --> 00:23:33,800
Speaker 2: that is the demographic where he has fallen off. Maybe

490
00:23:33,840 --> 00:23:35,879
Speaker 2: the hardest, but I thought that was kind of fascinating

491
00:23:35,960 --> 00:23:39,560
Speaker 2: to dig into those class and income demographics, and obviously,

492
00:23:39,600 --> 00:23:41,400
Speaker 2: like it makes perfect logical.

493
00:23:41,440 --> 00:23:44,120
Speaker 3: Political story of your in my lifetime is that coalitions

494
00:23:44,160 --> 00:23:47,120
Speaker 3: are not static, and that they change dramatically over very

495
00:23:47,160 --> 00:23:48,120
Speaker 3: short periods of time.

496
00:23:48,280 --> 00:23:48,800
Speaker 1: That is little.

497
00:23:48,800 --> 00:23:51,919
Speaker 3: I mean, if you went back to the year two thousand,

498
00:23:51,960 --> 00:23:54,280
Speaker 3: just take a look at that electoral map and take

499
00:23:54,280 --> 00:23:56,520
Speaker 3: it to today. I mean, I was literally old enough

500
00:23:56,560 --> 00:24:00,200
Speaker 3: to vote under Obama in twenty twelve, and you could

501
00:24:00,200 --> 00:24:03,080
Speaker 3: see that map and then compare it just to twenty sixteen,

502
00:24:03,200 --> 00:24:05,800
Speaker 3: four years later, and compare that map to twenty twenty

503
00:24:05,800 --> 00:24:09,080
Speaker 3: four when Trump wins or twenty twenty when Biden wins

504
00:24:09,119 --> 00:24:12,119
Speaker 3: Georgia and Arizona, right, and then four years later it

505
00:24:12,119 --> 00:24:15,640
Speaker 3: flips right back over. That is literally the story of America,

506
00:24:15,920 --> 00:24:19,280
Speaker 3: especially in the last twenty five years is rapidly shifting

507
00:24:19,320 --> 00:24:22,960
Speaker 3: coalitions and demographics for voters, which is actually, again I think,

508
00:24:23,080 --> 00:24:25,800
Speaker 3: very inspiring because you really can't count on anybody at

509
00:24:25,840 --> 00:24:28,840
Speaker 3: that time, and people are constantly, i think, especially in

510
00:24:28,840 --> 00:24:31,400
Speaker 3: this day and age, very willing to shift and vote

511
00:24:31,440 --> 00:24:33,600
Speaker 3: for change, as they've You could make a case they've

512
00:24:33,600 --> 00:24:35,760
Speaker 3: done it in every election since two thousand and that

513
00:24:35,880 --> 00:24:38,200
Speaker 3: they just never really get what they want. So it's

514
00:24:38,200 --> 00:24:40,359
Speaker 3: been twenty six years, probably going to do it again

515
00:24:40,720 --> 00:24:43,119
Speaker 3: here just a new year for the midterms. But I

516
00:24:43,160 --> 00:24:46,080
Speaker 3: think that if you take that to the bank, maybe, look,

517
00:24:46,080 --> 00:24:48,800
Speaker 3: it's hopeful, I think for any aspiring politician, because if

518
00:24:48,840 --> 00:24:50,480
Speaker 3: you actually do what you say you're going to do,

519
00:24:50,600 --> 00:24:53,679
Speaker 3: maybe you could actually get re elected and or you know,

520
00:24:54,200 --> 00:24:57,480
Speaker 3: you can always find a new coalition, activate them and

521
00:24:57,520 --> 00:24:59,439
Speaker 3: bring them to the ballot box. This has been the

522
00:24:59,480 --> 00:25:02,200
Speaker 3: eternal problem. This was a huge problem for Biden, who

523
00:25:02,200 --> 00:25:04,640
Speaker 3: won a lot of those folks in twenty twenty. By

524
00:25:04,640 --> 00:25:06,680
Speaker 3: twenty twenty four, I think what was in the first

525
00:25:06,720 --> 00:25:09,359
Speaker 3: election people making under one hundred thousand voted for Trump

526
00:25:09,640 --> 00:25:12,679
Speaker 3: or the number of those households, and a lot of

527
00:25:12,720 --> 00:25:15,160
Speaker 3: that was inflation, a lot of that was culture as well,

528
00:25:15,200 --> 00:25:17,760
Speaker 3: but you know stuff like that, people will be with you.

529
00:25:17,800 --> 00:25:20,320
Speaker 3: They'll give you a short enough leash, probably six months

530
00:25:20,440 --> 00:25:22,280
Speaker 3: or so before they start saying, what have you done

531
00:25:22,280 --> 00:25:22,840
Speaker 3: for me lately?

532
00:25:23,080 --> 00:25:23,760
Speaker 1: So that's a good thing.

533
00:25:23,920 --> 00:25:26,000
Speaker 2: Yeah, no, that's exactly right. And Democrats learned that the

534
00:25:26,000 --> 00:25:30,159
Speaker 2: hard way. They thought they had their coalition. Coalition lost forever,

535
00:25:30,359 --> 00:25:33,920
Speaker 2: and it turned out nope. People people change their minds. People,

536
00:25:33,920 --> 00:25:35,320
Speaker 2: are you've done for me lately?

537
00:25:35,359 --> 00:25:37,160
Speaker 3: One of my favorite books on my shelf forty More

538
00:25:37,280 --> 00:25:38,280
Speaker 3: Years by James Carr.

539
00:25:38,400 --> 00:25:38,560
Speaker 5: Oh.

540
00:25:38,640 --> 00:25:39,119
Speaker 4: I read that.

541
00:25:39,720 --> 00:25:42,120
Speaker 1: I mean, it's a historical artifact. It is like, this

542
00:25:42,440 --> 00:25:43,800
Speaker 1: is how arrogant they work.

543
00:25:44,000 --> 00:25:46,439
Speaker 4: And then it's amazing they still trot that guy out.

544
00:25:46,359 --> 00:25:50,359
Speaker 2: Like he's like he some genius guru, you know, like,

545
00:25:50,400 --> 00:25:51,880
Speaker 2: when's the last time you won an election again?

546
00:25:52,000 --> 00:25:52,840
Speaker 1: Anyway, ninety six?

547
00:25:53,119 --> 00:25:55,320
Speaker 4: He is interesting sometimes I will give it to him.

548
00:25:55,520 --> 00:25:58,639
Speaker 1: I have a sotspop cha, there's a there's an action, then.

549
00:25:58,600 --> 00:26:00,800
Speaker 4: His crossergy ways and all that stuff. It is kind

550
00:26:00,840 --> 00:26:01,240
Speaker 4: of avalan.

551
00:26:01,320 --> 00:26:02,879
Speaker 3: Remember the name of the documentary. I think it's on

552
00:26:03,000 --> 00:26:05,879
Speaker 3: HBO where they follow the Clinton campaign. I have a

553
00:26:05,880 --> 00:26:07,679
Speaker 3: soft spot for him, even, I mean again, even in

554
00:26:07,720 --> 00:26:10,040
Speaker 3: that one. The fact that he became a political genius.

555
00:26:10,160 --> 00:26:12,359
Speaker 3: They won forty two percent of the popular vote, okay,

556
00:26:12,680 --> 00:26:15,119
Speaker 3: and Ross Perrot cost HW the election.

557
00:26:15,320 --> 00:26:18,200
Speaker 4: And Bill Clinton is like a generational talent and.

558
00:26:18,160 --> 00:26:20,439
Speaker 1: The only one the poplast, I mean, didn't even win

559
00:26:20,440 --> 00:26:20,920
Speaker 1: a majority.

560
00:26:20,960 --> 00:26:23,560
Speaker 2: Same thing with the like Obama guys that are treated

561
00:26:23,640 --> 00:26:27,199
Speaker 2: like these, like sage geniuses, et Cetera's like, again, you

562
00:26:27,760 --> 00:26:31,480
Speaker 2: had like a generational talent on your hands.

563
00:26:31,200 --> 00:26:33,480
Speaker 3: And you had a cratering economy and a more and

564
00:26:33,720 --> 00:26:35,800
Speaker 3: John McKenna.

565
00:26:35,080 --> 00:26:38,280
Speaker 4: Rock war with Clinton's and all of that.

566
00:26:38,640 --> 00:26:42,479
Speaker 2: So in any case, all right, sorry, let's go on

567
00:26:42,480 --> 00:26:43,000
Speaker 2: to gamp.

568
00:26:46,119 --> 00:26:48,720
Speaker 3: Okay, turning now to gambling. We wanting to get this

569
00:26:48,760 --> 00:26:51,480
Speaker 3: story out there, very very important new statistic. Let's put

570
00:26:51,480 --> 00:26:54,040
Speaker 3: E three up here on the screen. Our friend Matt Stoller,

571
00:26:54,080 --> 00:26:58,040
Speaker 3: who's reading through the new BLS reports, whatever data they

572
00:26:58,119 --> 00:27:00,600
Speaker 3: still deigned to release to the public. This one is

573
00:27:00,680 --> 00:27:02,440
Speaker 3: old data, so at the very least we're going to

574
00:27:02,480 --> 00:27:02,920
Speaker 3: trust it.

575
00:27:03,040 --> 00:27:03,920
Speaker 1: And here's what he says.

576
00:27:04,280 --> 00:27:09,000
Speaker 3: The second fastest growing sector in America in terms of

577
00:27:09,040 --> 00:27:13,359
Speaker 3: GDP growth is now gambling between twenty nineteen and twenty

578
00:27:13,440 --> 00:27:16,280
Speaker 3: twenty four. I want everyone to sit with that. That

579
00:27:16,359 --> 00:27:21,879
Speaker 3: means that outside of software Akai Data Center GDP growth

580
00:27:22,119 --> 00:27:26,119
Speaker 3: that the second largest growing thing in our economy is

581
00:27:26,119 --> 00:27:29,680
Speaker 3: now gambling. Gambling companies have now overtaken motion picture revenue

582
00:27:29,760 --> 00:27:31,720
Speaker 3: in terms of the amount that people are spending. It

583
00:27:31,760 --> 00:27:35,720
Speaker 3: is by far the largest entertainment product now here in

584
00:27:35,760 --> 00:27:39,240
Speaker 3: the United States. Emerged literally from a Supreme Court decision

585
00:27:39,680 --> 00:27:45,199
Speaker 3: zero oversight, rife with problems, massive addiction, I mean, beyond corrupt.

586
00:27:45,200 --> 00:27:47,960
Speaker 3: We're about to talk with Pablo tore in which we're

587
00:27:48,000 --> 00:27:50,760
Speaker 3: going to break down this new scandal about point shaving,

588
00:27:50,880 --> 00:27:54,280
Speaker 3: game ringing. Who in America? What kind of degenerate are you?

589
00:27:54,359 --> 00:27:57,840
Speaker 3: If you're betting on Chinese basketball games? Okay, you have

590
00:27:57,960 --> 00:28:03,640
Speaker 3: a problem. And yet it is completely normalized. Tens of billions,

591
00:28:03,640 --> 00:28:07,040
Speaker 3: if not hundreds of billions are now moving through these companies,

592
00:28:07,080 --> 00:28:08,560
Speaker 3: cover very little regulation.

593
00:28:09,119 --> 00:28:11,280
Speaker 1: Cheating is openly apparently allowed.

594
00:28:11,800 --> 00:28:15,439
Speaker 3: You have their ability to ban winners literally, imagine that

595
00:28:15,480 --> 00:28:17,520
Speaker 3: it's a product where you get to ban winners and

596
00:28:17,600 --> 00:28:21,200
Speaker 3: milk the losers. People are going driven to absolute bankruptcy.

597
00:28:21,480 --> 00:28:24,199
Speaker 3: And it is now I think a great symbol of

598
00:28:24,240 --> 00:28:28,560
Speaker 3: the problems of our time. And it is now, and

599
00:28:28,600 --> 00:28:30,760
Speaker 3: I warned about this is it's like you think you

600
00:28:30,760 --> 00:28:33,840
Speaker 3: can just restrict it to sports. It is bleeding into

601
00:28:33,960 --> 00:28:38,040
Speaker 3: every sector, not just of our economy, but of our entertainment.

602
00:28:38,360 --> 00:28:42,360
Speaker 3: It already politics. Remember Polymarket, the odds all became huge.

603
00:28:42,520 --> 00:28:45,440
Speaker 3: Now we have a more recent one here of the

604
00:28:45,560 --> 00:28:47,880
Speaker 3: Golden Globes. Let's put e one up here on the

605
00:28:47,920 --> 00:28:50,880
Speaker 3: screen if you have I didn't watch, sorry, but as

606
00:28:50,880 --> 00:28:53,600
Speaker 3: you can all see here there literally on the screen

607
00:28:53,800 --> 00:28:57,479
Speaker 3: live Polymarket odds for every single one which was actually

608
00:28:57,520 --> 00:29:01,920
Speaker 3: featured on the Golden Globes brought then you had the

609
00:29:02,280 --> 00:29:04,840
Speaker 3: Polymarket ceo. Let's put the next one please up on

610
00:29:04,840 --> 00:29:07,920
Speaker 3: the screen to show you that he actually tweeted out

611
00:29:08,160 --> 00:29:10,960
Speaker 3: about how Polymarket ended up calling twenty.

612
00:29:10,760 --> 00:29:12,200
Speaker 1: Six out of the twenty eight winners, right.

613
00:29:12,480 --> 00:29:14,440
Speaker 3: I mean, this is the issue is that this is

614
00:29:14,600 --> 00:29:19,280
Speaker 3: rife for insider trading, and it's so obvious that these

615
00:29:19,280 --> 00:29:22,160
Speaker 3: are all like generally lower stakes because you and I'd

616
00:29:22,200 --> 00:29:25,520
Speaker 3: be like, ah, whatever, you know somebody who happened. I mean, look,

617
00:29:25,520 --> 00:29:28,000
Speaker 3: these are not there's no SEC regulation on the Golden

618
00:29:28,040 --> 00:29:32,000
Speaker 3: Globes or on the oscars like these are just private organizations.

619
00:29:32,160 --> 00:29:34,520
Speaker 3: But being able to bet upon them then with no

620
00:29:34,640 --> 00:29:39,440
Speaker 3: oversider any of that makes it easily manipulatable, it easily leakable.

621
00:29:39,200 --> 00:29:39,360
Speaker 1: You know.

622
00:29:39,440 --> 00:29:41,800
Speaker 3: For in many of these types of cases, it's such

623
00:29:41,840 --> 00:29:44,760
Speaker 3: that you are watching it all be normalized.

624
00:29:44,840 --> 00:29:45,200
Speaker 1: By the way.

625
00:29:45,240 --> 00:29:48,440
Speaker 3: My personal favorite that I just saw yesterday, somebody was

626
00:29:48,440 --> 00:29:52,000
Speaker 3: booking a hotel and in the hotel they could they

627
00:29:52,000 --> 00:29:56,720
Speaker 3: were being sold insurance where pay twenty six dollars if

628
00:29:56,760 --> 00:29:59,800
Speaker 3: it rains three days, you get five hundred dollars back.

629
00:30:00,240 --> 00:30:03,280
Speaker 3: So you're basically gambling on whether it's going to rain, right,

630
00:30:03,280 --> 00:30:06,120
Speaker 3: and then rain is defined as point zero four inches

631
00:30:06,520 --> 00:30:09,120
Speaker 3: for more than a two hour period and not at

632
00:30:09,120 --> 00:30:10,720
Speaker 3: two am or something like that.

633
00:30:10,800 --> 00:30:11,640
Speaker 1: This is insane.

634
00:30:11,760 --> 00:30:13,560
Speaker 4: They're going to start rigging it with clouds.

635
00:30:14,280 --> 00:30:16,680
Speaker 1: Literally, it's like, this is crazy.

636
00:30:16,840 --> 00:30:19,680
Speaker 3: And you had the you had the CEO of one

637
00:30:19,680 --> 00:30:20,880
Speaker 3: of these com I think it was Calshi.

638
00:30:21,160 --> 00:30:22,880
Speaker 1: No, it's sorry, it was Robin Hood who.

639
00:30:22,840 --> 00:30:26,400
Speaker 3: Said, instead of insurance, people are using prediction markets. Right,

640
00:30:26,520 --> 00:30:29,520
Speaker 3: so it's oh, don't buy insurance, don't buy insurance, buy

641
00:30:29,560 --> 00:30:34,520
Speaker 3: our futures or all of that. It's commoditizing everything in

642
00:30:34,520 --> 00:30:35,160
Speaker 3: public life.

643
00:30:35,200 --> 00:30:38,640
Speaker 2: It just cheapens literally every cheap life. Like you know, okay,

644
00:30:38,680 --> 00:30:41,920
Speaker 2: the Golden Globes, are they the biggest in the world. No,

645
00:30:42,040 --> 00:30:44,000
Speaker 2: but now you just have in the back of your head, Oh,

646
00:30:44,040 --> 00:30:46,040
Speaker 2: they just like rigged it to you know, to get

647
00:30:46,040 --> 00:30:49,120
Speaker 2: a payoff. It's all of these sports games, like you know,

648
00:30:49,320 --> 00:30:51,360
Speaker 2: you just you're watching these games, and I watch them

649
00:30:51,360 --> 00:30:53,200
Speaker 2: differently now, you know, when a bunch of calls start

650
00:30:53,240 --> 00:30:54,120
Speaker 2: going one way, I'm.

651
00:30:53,960 --> 00:30:56,400
Speaker 4: Like, oh, you know, somebody's on the you should be right.

652
00:30:56,440 --> 00:30:58,239
Speaker 2: I mean, you just can't help but think that in

653
00:30:58,280 --> 00:31:00,080
Speaker 2: the back of your head that like, okay, well where

654
00:31:00,160 --> 00:31:02,480
Speaker 2: the money being made off of what I'm seeing? None

655
00:31:02,520 --> 00:31:06,200
Speaker 2: of this feels real anymore. And that's the point from

656
00:31:06,280 --> 00:31:08,320
Speaker 2: Stoller I think is a really important one. Like our

657
00:31:08,320 --> 00:31:12,800
Speaker 2: whole economy is basically data centers and gambling. That's what

658
00:31:12,920 --> 00:31:18,040
Speaker 2: our economy is, which are both deeply like predatory and exploitative.

659
00:31:18,160 --> 00:31:21,000
Speaker 3: And actually they work together because the algorithms in the AI.

660
00:31:21,120 --> 00:31:22,560
Speaker 3: What do you think that they're not using that to

661
00:31:22,600 --> 00:31:23,080
Speaker 3: addict to you?

662
00:31:23,200 --> 00:31:26,200
Speaker 2: Of course they are, absolutely that is the case. And

663
00:31:26,240 --> 00:31:28,920
Speaker 2: so they're just you know, financially sucking you dry, sucking

664
00:31:28,960 --> 00:31:31,760
Speaker 2: all of the like natural resources out of the ground,

665
00:31:32,160 --> 00:31:34,320
Speaker 2: jacking up your electric bills, all of that.

666
00:31:34,520 --> 00:31:36,320
Speaker 4: I mean, it's just the most sort of like.

667
00:31:36,760 --> 00:31:42,880
Speaker 2: Exploitative, predatory economy that you could possibly imagine. And yeah,

668
00:31:42,920 --> 00:31:48,760
Speaker 2: it feeds deep cynicism about everything from politics, to sports,

669
00:31:49,000 --> 00:31:53,000
Speaker 2: to entertainment, every app to the weather apparently, I mean

670
00:31:53,160 --> 00:31:55,800
Speaker 2: literally every aspect of your life. And it's just become

671
00:31:55,920 --> 00:31:58,680
Speaker 2: so embraced and normalized. You know, just to give an

672
00:31:58,720 --> 00:32:02,120
Speaker 2: example from politics, could put E four up on the screen.

673
00:32:02,240 --> 00:32:05,320
Speaker 2: So there was this White House press briefing. This was

674
00:32:05,440 --> 00:32:10,760
Speaker 2: right after the whole Venezuela kidnapping situation, and you had

675
00:32:11,000 --> 00:32:15,360
Speaker 2: bets that were placed about how long this press conference

676
00:32:15,400 --> 00:32:18,120
Speaker 2: would go, and Daniel Scott tweeted this sound. He said,

677
00:32:18,120 --> 00:32:20,200
Speaker 2: today's White House Press briefing had a ninety eight percent

678
00:32:20,280 --> 00:32:23,160
Speaker 2: chance of lasting plus sixty five minutes until Caroline Levitt

679
00:32:23,200 --> 00:32:26,040
Speaker 2: abruptly ended it with just a few seconds to spare.

680
00:32:26,520 --> 00:32:29,760
Speaker 2: So the betters on the no side on polymarket multiplied

681
00:32:29,760 --> 00:32:33,280
Speaker 2: their money by fifty times in less than thirty seconds.

682
00:32:33,400 --> 00:32:37,320
Speaker 2: So she abruptly wraps it up right before that sixty

683
00:32:37,360 --> 00:32:40,640
Speaker 2: five minute cut off. Now was this intentional?

684
00:32:40,680 --> 00:32:41,200
Speaker 4: Did she know?

685
00:32:41,600 --> 00:32:44,080
Speaker 2: I don't know, but you have to ask the question,

686
00:32:44,440 --> 00:32:47,160
Speaker 2: especially the way this comes in right under the wire

687
00:32:47,520 --> 00:32:49,640
Speaker 2: and how she ends it so abruptly. You got to

688
00:32:49,640 --> 00:32:52,680
Speaker 2: think in your head, you know, was this intentional?

689
00:32:52,680 --> 00:32:54,520
Speaker 3: To be honest, and the fact think so, but I

690
00:32:54,520 --> 00:32:55,719
Speaker 3: don't want to think about it.

691
00:32:55,760 --> 00:32:58,000
Speaker 2: That's exactly right, the fact that you even that it

692
00:32:58,040 --> 00:33:02,000
Speaker 2: even has the appearance of that disgusting disgusting yes.

693
00:33:02,200 --> 00:33:03,800
Speaker 3: And then finally to your point, and by the way,

694
00:33:03,800 --> 00:33:06,080
Speaker 3: this is ten times worse. Can we put to E

695
00:33:06,280 --> 00:33:09,960
Speaker 3: six up here on the screen. Polymarket is currently taking

696
00:33:10,040 --> 00:33:12,840
Speaker 3: immense amounts of bet and I mean serious volume in

697
00:33:14,000 --> 00:33:16,960
Speaker 3: their markets on whether we're going to strike Iran? Right,

698
00:33:17,040 --> 00:33:19,600
Speaker 3: they have days, various days that you can bet on

699
00:33:19,600 --> 00:33:22,280
Speaker 3: on whether We're going to strike Iran, which are easily manipultable.

700
00:33:22,440 --> 00:33:26,000
Speaker 3: But their Twitter feed is also rife with literal bullshit

701
00:33:26,160 --> 00:33:29,400
Speaker 3: like this Iranian regime security forces have lost nearly all

702
00:33:29,400 --> 00:33:33,840
Speaker 3: control of Iran's Tehran, Mushad and Shud not true, literally,

703
00:33:34,040 --> 00:33:37,440
Speaker 3: not true, okay, But what is the intention, crystal of

704
00:33:37,480 --> 00:33:37,959
Speaker 3: that tweet.

705
00:33:38,080 --> 00:33:41,040
Speaker 1: It's to get people to bet on regime chain, That's right,

706
00:33:41,120 --> 00:33:44,040
Speaker 1: That's why it's sick. Remember what the whole Venezuela thing.

707
00:33:44,040 --> 00:33:45,760
Speaker 2: Right, And then you have people who are in a

708
00:33:45,800 --> 00:33:49,280
Speaker 2: position to influence the president in one direction or the other.

709
00:33:49,640 --> 00:33:52,920
Speaker 2: Are they placing bets and then giving the present information

710
00:33:53,000 --> 00:33:56,840
Speaker 2: that literally impacts war and peace. I mean that's where

711
00:33:56,880 --> 00:33:58,920
Speaker 2: we are, Like, that's reality.

712
00:33:58,640 --> 00:34:00,760
Speaker 1: Right, and you know this is why it's so righter.

713
00:34:00,920 --> 00:34:03,520
Speaker 3: So like, for example, where journalists I've been, you know,

714
00:34:03,560 --> 00:34:05,400
Speaker 3: trying to work the phones, trying to get some more info.

715
00:34:05,680 --> 00:34:08,160
Speaker 3: Let's say I got some info on a specific timeline

716
00:34:08,520 --> 00:34:11,759
Speaker 3: right as a journalist, and I bought NO and I

717
00:34:11,760 --> 00:34:13,920
Speaker 3: could get a huge payout and I didn't think we

718
00:34:13,920 --> 00:34:16,440
Speaker 3: were going to get an attack on Iran. Is that

719
00:34:16,520 --> 00:34:20,080
Speaker 3: technically illegal? Probably not, But it's wrong because that's not

720
00:34:20,120 --> 00:34:22,640
Speaker 3: what you should be doing. That's why even allowing bets

721
00:34:22,680 --> 00:34:25,239
Speaker 3: like this, it's crazy. I mean imagine that. And then

722
00:34:25,320 --> 00:34:26,719
Speaker 3: if I, oh, it's not just me, I give it

723
00:34:26,840 --> 00:34:28,839
Speaker 3: a taste to my friends, and then everybody starts taking

724
00:34:28,880 --> 00:34:30,600
Speaker 3: the no side, and then it starts to leak out,

725
00:34:30,680 --> 00:34:33,440
Speaker 3: and then it becomes a national security problem. The Venezuela thing.

726
00:34:33,440 --> 00:34:36,200
Speaker 3: It's so it is clear as day. Somebody inside of

727
00:34:36,239 --> 00:34:39,719
Speaker 3: the US military, probably a logistics guy, you know, maybe

728
00:34:39,760 --> 00:34:42,439
Speaker 3: the guy like fueling the helicopter or something. He's like, hey,

729
00:34:42,600 --> 00:34:44,759
Speaker 3: I'm making seventy five K a year, Okay, I can

730
00:34:44,840 --> 00:34:47,960
Speaker 3: triple my salary right now with the single bet. Yet

731
00:34:48,040 --> 00:34:50,239
Speaker 3: just yesterday somebody put one hundred and sixty k bet

732
00:34:50,239 --> 00:34:51,759
Speaker 3: on whether we were going to attack Iron or not.

733
00:34:52,000 --> 00:34:54,520
Speaker 3: Who knows who is this guy? You know, literally, there's

734
00:34:54,560 --> 00:34:58,720
Speaker 3: no insight, there's no information. We are commoditizing our entire

735
00:34:58,760 --> 00:35:00,920
Speaker 3: life and it will bleed. As I showed you with

736
00:35:00,920 --> 00:35:04,120
Speaker 3: the hotel thing, that's soon. Can you imagine you've got

737
00:35:04,120 --> 00:35:07,439
Speaker 3: buy now, pay later, You've got the gambling thing now

738
00:35:07,520 --> 00:35:10,040
Speaker 3: insurance they're going to start coming in. Robin Hood offers

739
00:35:10,239 --> 00:35:13,880
Speaker 3: sports betting Calshie. Ninety one percent of the contracts on

740
00:35:13,920 --> 00:35:16,560
Speaker 3: Calshie are all sports. Forty percent of poly market is

741
00:35:16,600 --> 00:35:19,879
Speaker 3: all sports. It's efactively legalized sports gambling nationwide. And once

742
00:35:19,920 --> 00:35:23,160
Speaker 3: you legalize sports gambling, not just legalized, but normalize, then

743
00:35:23,360 --> 00:35:25,520
Speaker 3: why wouldn't you gamble on everything? There's a you know

744
00:35:25,520 --> 00:35:27,799
Speaker 3: this famous stories. I remember Rogan talking about this once.

745
00:35:27,880 --> 00:35:29,640
Speaker 3: He was with a bunch of gambling addicts. They would

746
00:35:29,680 --> 00:35:31,279
Speaker 3: go to a window while it was raining and they

747
00:35:31,320 --> 00:35:33,960
Speaker 3: would bet on which drain drop was going to hit

748
00:35:34,200 --> 00:35:35,520
Speaker 3: the was going to hit first.

749
00:35:35,719 --> 00:35:36,840
Speaker 1: You can see this with Jordan.

750
00:35:37,120 --> 00:35:39,120
Speaker 3: He used to you know, he used to like gamble

751
00:35:39,360 --> 00:35:41,399
Speaker 3: and Michael Jordan used to bet with the guys over

752
00:35:41,480 --> 00:35:44,799
Speaker 3: like throwing quarters, like rolling them. Once you get that

753
00:35:45,160 --> 00:35:47,960
Speaker 3: sickness in your mind, you will bet on everything. And

754
00:35:48,000 --> 00:35:50,600
Speaker 3: that's what we're doing. We're normalizing it across the nation.

755
00:35:51,040 --> 00:35:53,080
Speaker 3: And yeah, I mean, look, it's not to your benefit.

756
00:35:53,239 --> 00:35:55,400
Speaker 1: You will lose. That's literally the way that the rules

757
00:35:55,680 --> 00:35:56,200
Speaker 1: are written.

758
00:35:56,840 --> 00:35:58,840
Speaker 3: And I just I think it's I genuinely think it

759
00:35:58,920 --> 00:36:01,759
Speaker 3: is our biggest sick Yeah, like right now and people

760
00:36:01,800 --> 00:36:02,520
Speaker 3: are going broke.

761
00:36:02,800 --> 00:36:03,279
Speaker 1: It's bad.

762
00:36:03,440 --> 00:36:06,200
Speaker 4: Yeah, No, I mean nothing will ruin your life faster.

763
00:36:06,160 --> 00:36:07,560
Speaker 1: Than by suicide rate.

764
00:36:07,719 --> 00:36:11,719
Speaker 2: Yeah, the financial losses that you sustain there, And I

765
00:36:11,719 --> 00:36:14,120
Speaker 2: mean it's a perfect pivot to talking to Pablo Tori

766
00:36:14,160 --> 00:36:17,320
Speaker 2: because we just had this news break about twenty people

767
00:36:17,320 --> 00:36:21,480
Speaker 2: who are indicted over game fixing point shaving scandal. So

768
00:36:21,560 --> 00:36:22,960
Speaker 2: let's go ahead and bring him in and we can

769
00:36:23,000 --> 00:36:25,359
Speaker 2: get his instant reaction to what we know so far.

770
00:36:25,840 --> 00:36:27,920
Speaker 3: Very excited now to be joined by Pablo Tore. He

771
00:36:28,040 --> 00:36:30,120
Speaker 3: is the host of Publo Tory finds out a great

772
00:36:30,120 --> 00:36:31,080
Speaker 3: investigative journalist.

773
00:36:31,120 --> 00:36:32,439
Speaker 1: Front of the show. Good to see you man, thanks

774
00:36:32,440 --> 00:36:33,080
Speaker 1: for joining.

775
00:36:32,880 --> 00:36:34,880
Speaker 5: Us, Thanks thanks for having me back. Guys, there's a

776
00:36:34,880 --> 00:36:35,920
Speaker 5: lot going on right now.

777
00:36:35,960 --> 00:36:36,719
Speaker 1: Yeah, there's so much.

778
00:36:36,719 --> 00:36:39,120
Speaker 3: We Originally we were going to talk about NFL ethics

779
00:36:39,160 --> 00:36:41,319
Speaker 3: and reporting, and then of course while we have you,

780
00:36:41,400 --> 00:36:43,839
Speaker 3: literally moments before, we have breaking news that will put

781
00:36:43,880 --> 00:36:46,879
Speaker 3: up here on the screen. Some twenty people have now

782
00:36:46,920 --> 00:36:52,240
Speaker 3: been charged in a sweeping college basketball fixing scandal, also

783
00:36:52,320 --> 00:36:56,719
Speaker 3: though involving Chinese Basketball Association games in China. We have

784
00:36:56,880 --> 00:36:59,600
Speaker 3: multiple names involved here. Pablo, I know you've been at

785
00:36:59,600 --> 00:37:02,319
Speaker 3: the forefront of a lot of this gambling investigation here

786
00:37:02,360 --> 00:37:05,799
Speaker 3: with the NBA former players now involving college basketball point

787
00:37:05,800 --> 00:37:08,560
Speaker 3: shaving schemes China. Just give us your general reaction to

788
00:37:08,640 --> 00:37:09,080
Speaker 3: the story.

789
00:37:09,840 --> 00:37:13,239
Speaker 5: Yeah, I've been waiting for this. The federal government, the

790
00:37:13,239 --> 00:37:15,720
Speaker 5: Eastern District of New York. Their scope has not merely

791
00:37:15,760 --> 00:37:18,480
Speaker 5: been professional basketball in the NBA. It's also been, of

792
00:37:18,560 --> 00:37:20,840
Speaker 5: course college games, and in college games and in the

793
00:37:20,920 --> 00:37:22,960
Speaker 5: Chinese Basketball Association saga.

794
00:37:22,960 --> 00:37:23,480
Speaker 7: I think there's a.

795
00:37:23,520 --> 00:37:27,480
Speaker 5: Key important element here, which is that the incentive structure

796
00:37:27,600 --> 00:37:30,200
Speaker 5: for what is to be gained if you are to

797
00:37:30,239 --> 00:37:35,239
Speaker 5: participate in an alleged scheme to orchestrate the outcomes of

798
00:37:35,440 --> 00:37:38,840
Speaker 5: micro events or the games themselves, micro events inside of

799
00:37:38,880 --> 00:37:40,120
Speaker 5: games or the games themselves.

800
00:37:40,560 --> 00:37:41,919
Speaker 7: They're just greater, right as.

801
00:37:41,800 --> 00:37:44,600
Speaker 5: A cost benefit analysis is concerned, compared to NBA players

802
00:37:44,640 --> 00:37:45,800
Speaker 5: making millions of dollars.

803
00:37:45,840 --> 00:37:50,200
Speaker 7: So these are always it's right to consider them.

804
00:37:50,200 --> 00:37:53,400
Speaker 5: The softer targets, the more logical targets getting players to

805
00:37:53,480 --> 00:37:58,600
Speaker 5: cooperate allegedly in such schemes, and so look, without saying

806
00:37:58,640 --> 00:38:01,239
Speaker 5: too much, because I am processing all of this as

807
00:38:01,280 --> 00:38:03,440
Speaker 5: I'm talking to you, guys, just know that some of

808
00:38:03,480 --> 00:38:07,359
Speaker 5: these names are familiar names from the federal indictments. Looking

809
00:38:07,400 --> 00:38:09,480
Speaker 5: at guys like Shane Hennan, who, by the way, was

810
00:38:09,520 --> 00:38:11,879
Speaker 5: the subject of the last episode that I did that

811
00:38:11,920 --> 00:38:14,800
Speaker 5: you guys have me on to talk about. Marvis Fairley

812
00:38:14,880 --> 00:38:16,720
Speaker 5: is another name. I'm just reading off of the list

813
00:38:16,880 --> 00:38:21,000
Speaker 5: of names provided here according to this indictment that was

814
00:38:21,080 --> 00:38:24,840
Speaker 5: unsealed in Philadelphia. And there are some characters including the

815
00:38:24,920 --> 00:38:29,719
Speaker 5: Chinese Basketball Sities Association, including former LSU player Antonio Blakeney.

816
00:38:29,800 --> 00:38:32,800
Speaker 5: Where if you were to just look at what and

817
00:38:32,800 --> 00:38:35,400
Speaker 5: again this is is lame of me to do this

818
00:38:35,440 --> 00:38:37,960
Speaker 5: because I didn't break this story. But if I were

819
00:38:38,000 --> 00:38:40,160
Speaker 5: to show you the amount of group chatting I was

820
00:38:40,200 --> 00:38:43,960
Speaker 5: doing about Antonio Blakeney last night, all of this would

821
00:38:44,000 --> 00:38:47,000
Speaker 5: seem very much of a piece with the larger story

822
00:38:47,000 --> 00:38:48,560
Speaker 5: that I've been talking to you guys about for months.

823
00:38:48,600 --> 00:38:50,960
Speaker 2: Now, give us a little bit of insight there, I

824
00:38:51,000 --> 00:38:54,279
Speaker 2: mean with Blakeney. And again we just got this. You

825
00:38:54,320 --> 00:38:56,160
Speaker 2: haven't had a chance to read through what has been

826
00:38:56,200 --> 00:38:58,960
Speaker 2: unsealed in this indictment, what is being alleged, But what

827
00:38:59,000 --> 00:39:00,880
Speaker 2: are the sorts of things that people were sort of

828
00:39:00,960 --> 00:39:03,120
Speaker 2: like chattering about with regard.

829
00:39:02,800 --> 00:39:03,680
Speaker 4: To these guys.

830
00:39:04,280 --> 00:39:08,120
Speaker 5: Yeah, so it's a social network. It's a question of

831
00:39:08,160 --> 00:39:11,359
Speaker 5: I mean, look, there's not It is sophisticated in one sense,

832
00:39:11,400 --> 00:39:16,240
Speaker 5: but also very definitionally a bunch of guys group chatting

833
00:39:16,520 --> 00:39:19,040
Speaker 5: to my earlier description of myself on the other hand.

834
00:39:19,400 --> 00:39:21,480
Speaker 5: And so the question that the federal government has been

835
00:39:21,480 --> 00:39:23,840
Speaker 5: asking that I have been trying to follow through frankly

836
00:39:23,880 --> 00:39:27,440
Speaker 5: a lot of public records and otherwise social media profiles

837
00:39:27,480 --> 00:39:30,200
Speaker 5: falling down the rabbit hole on NBA, Twitter, on Instagram

838
00:39:30,239 --> 00:39:33,080
Speaker 5: and all this stuff, is who knows who? There are

839
00:39:33,080 --> 00:39:35,080
Speaker 5: a bunch of guys in the NBA indictman, a bunch

840
00:39:35,080 --> 00:39:38,920
Speaker 5: of characters listed as defendants, and the question is who

841
00:39:39,000 --> 00:39:42,360
Speaker 5: in college basketball and beyond knows those guys and so

842
00:39:42,400 --> 00:39:46,880
Speaker 5: Antonio Blakeney has been circled with highlighter for me because

843
00:39:46,920 --> 00:39:50,160
Speaker 5: he is in the social network among some of these characters.

844
00:39:50,200 --> 00:39:53,600
Speaker 5: And again my reporting is absolutely still ongoing, but the

845
00:39:53,600 --> 00:39:56,319
Speaker 5: fact that his name has now been mentioned as again

846
00:39:56,360 --> 00:39:59,960
Speaker 5: a former college All American player from LSU who went

847
00:40:00,120 --> 00:40:02,680
Speaker 5: to the Chinese Basketball Association, who has been for those

848
00:40:02,719 --> 00:40:05,720
Speaker 5: who are paying any amount of attention to the CBA,

849
00:40:06,040 --> 00:40:10,000
Speaker 5: has been a character over there because of alleged rigged games.

850
00:40:10,160 --> 00:40:14,800
Speaker 5: It's not exactly rocket science, but what it does require

851
00:40:15,400 --> 00:40:18,879
Speaker 5: is something that I think hardcore basketball degenerates and now

852
00:40:18,880 --> 00:40:21,600
Speaker 5: the federal government both have been doing, which is trying

853
00:40:21,600 --> 00:40:23,200
Speaker 5: to figure out, wait a minute, is that the guy

854
00:40:23,239 --> 00:40:23,799
Speaker 5: from that thing?

855
00:40:24,719 --> 00:40:25,799
Speaker 7: And it turns out that in this.

856
00:40:25,760 --> 00:40:29,160
Speaker 5: Case, allegedly Antonio Blakeney is the guy from that got it?

857
00:40:29,320 --> 00:40:29,600
Speaker 1: Pabo.

858
00:40:29,840 --> 00:40:31,640
Speaker 3: The reason why we originally wanted to have you on

859
00:40:31,800 --> 00:40:35,000
Speaker 3: was about this discussion of sports journalism. It struck me,

860
00:40:35,080 --> 00:40:38,040
Speaker 3: you know, we talk here about journalism scandals every day,

861
00:40:38,040 --> 00:40:40,480
Speaker 3: but these are political. Ultimately, that's not what most people

862
00:40:40,680 --> 00:40:42,839
Speaker 3: are paying attention to. And the one I think that

863
00:40:42,880 --> 00:40:45,520
Speaker 3: probably broke open into the zeitgeys more than anything is

864
00:40:45,560 --> 00:40:48,720
Speaker 3: this most recent one regarding the NFL and the Jacksonville Jaguars,

865
00:40:48,760 --> 00:40:52,279
Speaker 3: where a local reporter, I guess if you will, made

866
00:40:52,400 --> 00:40:55,480
Speaker 3: a very praiseworthy comment to a head coach which ignited

867
00:40:55,520 --> 00:40:58,560
Speaker 3: a scandal over sports journalism. So for those of you

868
00:40:58,560 --> 00:41:00,840
Speaker 3: who haven't seen the clip, and let's play it and

869
00:41:00,840 --> 00:41:01,800
Speaker 3: we're going to get your reaction.

870
00:41:02,280 --> 00:41:02,800
Speaker 1: Tail you.

871
00:41:02,880 --> 00:41:06,200
Speaker 8: Congratulations on your success, young man. You hold your head up,

872
00:41:06,239 --> 00:41:08,760
Speaker 8: all right. You guys have had a most magnificent season.

873
00:41:09,120 --> 00:41:11,200
Speaker 8: You did a great job out there today. So you

874
00:41:11,280 --> 00:41:14,320
Speaker 8: just hold your head up, okay, And ladies and gentlemen, duvo,

875
00:41:14,520 --> 00:41:16,520
Speaker 8: you don't one, all right, keep it going. We got

876
00:41:16,520 --> 00:41:19,000
Speaker 8: another season, okay. I appreciate take care of much continued

877
00:41:19,040 --> 00:41:20,640
Speaker 8: success to you and the entire team.

878
00:41:20,760 --> 00:41:21,279
Speaker 1: Thank you, man.

879
00:41:21,880 --> 00:41:25,320
Speaker 3: So pallo, that clip by again somebody whose credential press

880
00:41:25,360 --> 00:41:28,680
Speaker 3: corps went viral. It was tweeted out by the NFL

881
00:41:28,719 --> 00:41:30,280
Speaker 3: by Adam schafter many other journalists.

882
00:41:30,320 --> 00:41:31,360
Speaker 1: Is at a very sweet moment.

883
00:41:31,520 --> 00:41:34,040
Speaker 3: Some other sports journalists said, hey, you're not really supposed

884
00:41:34,040 --> 00:41:35,320
Speaker 3: to do this in a press conference.

885
00:41:35,360 --> 00:41:37,640
Speaker 1: This is ignited a huge scandal.

886
00:41:37,239 --> 00:41:39,840
Speaker 3: And so I was curious whether that is generally reflective

887
00:41:39,880 --> 00:41:42,200
Speaker 3: of a problem in sports media and in our culture

888
00:41:42,200 --> 00:41:44,839
Speaker 3: written large where something like this is to be celebrated

889
00:41:45,080 --> 00:41:47,040
Speaker 3: in a venue where you're supposed to be asking a question.

890
00:41:47,800 --> 00:41:51,400
Speaker 5: Yeah, I mean this is a story about vocabulary.

891
00:41:51,920 --> 00:41:53,920
Speaker 7: What does it mean to be a reporter?

892
00:41:54,480 --> 00:41:57,000
Speaker 5: And we're really bad at defining what that is and

893
00:41:57,040 --> 00:41:59,080
Speaker 5: how that might be different from journalists, and how that

894
00:41:59,160 --> 00:42:02,520
Speaker 5: might be different from per doing interviews. Is every podcast

895
00:42:02,680 --> 00:42:05,080
Speaker 5: or a journalist because they ask questions? Is every person

896
00:42:05,120 --> 00:42:08,000
Speaker 5: at a press conference a journalist a reporter because they

897
00:42:08,040 --> 00:42:09,279
Speaker 5: have a microphone in front of them?

898
00:42:09,320 --> 00:42:10,399
Speaker 7: And I know that this is a.

899
00:42:10,360 --> 00:42:12,600
Speaker 5: Story about the word reporter because the way that this

900
00:42:12,640 --> 00:42:15,240
Speaker 5: broke open Zager to your point was Adam Schefter.

901
00:42:15,560 --> 00:42:17,759
Speaker 7: I'll just quote what his tweet.

902
00:42:17,520 --> 00:42:20,720
Speaker 5: Said, because nobody was paying attention to a twenty second

903
00:42:21,640 --> 00:42:26,040
Speaker 5: non question from Lynn Jones, who is a longtime, long

904
00:42:26,120 --> 00:42:29,879
Speaker 5: time employee of a black newspaper in Jacksonville. They were

905
00:42:29,880 --> 00:42:32,680
Speaker 5: responding to what Adam Schefter said, quote, this is an

906
00:42:32,760 --> 00:42:36,640
Speaker 5: awesome postgame exchange between a reporter and Jaguars HC.

907
00:42:36,840 --> 00:42:39,560
Speaker 7: Liam Cohen, And so everybody was responding.

908
00:42:39,680 --> 00:42:43,000
Speaker 5: If I may be so bold as to speak for

909
00:42:43,200 --> 00:42:46,320
Speaker 5: people who work in sports journalism, as I think journalism

910
00:42:46,400 --> 00:42:51,480
Speaker 5: is technically defined. They're referring to what it means to

911
00:42:51,560 --> 00:42:55,560
Speaker 5: celebrate this as an example of reporting as a reporter,

912
00:42:55,960 --> 00:42:59,359
Speaker 5: asking a question or saying anything at a presser. And

913
00:43:00,640 --> 00:43:03,799
Speaker 5: it's interesting, right, Like I am, I'm old enough to

914
00:43:03,840 --> 00:43:08,200
Speaker 5: remember that Bill Simmons is a Red Sox fan. I'm

915
00:43:08,200 --> 00:43:11,560
Speaker 5: old enough to remember that everybody who works in sports

916
00:43:11,560 --> 00:43:15,520
Speaker 5: grew up probably rooting for a team. The question is,

917
00:43:15,840 --> 00:43:18,240
Speaker 5: when you do one of these specific jobs of showing

918
00:43:18,360 --> 00:43:22,480
Speaker 5: up at a press conference to ask questions, are you

919
00:43:22,920 --> 00:43:28,880
Speaker 5: serving something resembling truth and fact finding or the public

920
00:43:28,920 --> 00:43:32,120
Speaker 5: interest or are you there because you are a fan?

921
00:43:33,080 --> 00:43:36,200
Speaker 5: And for Lynn Jones, by the way, who's been truly

922
00:43:36,239 --> 00:43:39,040
Speaker 5: and I get it unapologetic about this because her view

923
00:43:39,120 --> 00:43:42,400
Speaker 5: is I'm from Jacksonville, this is my community.

924
00:43:42,440 --> 00:43:43,520
Speaker 7: I serve my community.

925
00:43:43,600 --> 00:43:46,319
Speaker 5: I want to say something nice to this guy, and

926
00:43:46,400 --> 00:43:50,200
Speaker 5: in that way, like I understand it. The problem is,

927
00:43:51,160 --> 00:43:55,960
Speaker 5: does that become what people think of when they use

928
00:43:56,000 --> 00:44:00,600
Speaker 5: the word reporter. Yes, and guys, all reporters have. All

929
00:44:00,680 --> 00:44:05,200
Speaker 5: journalists have is vocabulary. Unfortunately, you know, all we can

930
00:44:05,280 --> 00:44:06,880
Speaker 5: do and I'll be explain what I mean by that.

931
00:44:07,480 --> 00:44:11,120
Speaker 5: All we can do is express we are holding ourselves

932
00:44:11,200 --> 00:44:14,280
Speaker 5: up to a higher degree of difficulty, a higher standard

933
00:44:14,360 --> 00:44:16,960
Speaker 5: in which we will torture ourselves trying to get this

934
00:44:17,080 --> 00:44:20,239
Speaker 5: story right because our boss in the end is the

935
00:44:20,320 --> 00:44:27,360
Speaker 5: public interest, and what that involves is a an amount

936
00:44:27,400 --> 00:44:29,719
Speaker 5: of work that goes unseen and unappreciated, and no one

937
00:44:29,760 --> 00:44:32,920
Speaker 5: wants to hear, especially sports reporters, complain about how annoying

938
00:44:32,960 --> 00:44:36,000
Speaker 5: their job can be. But that's the reality of what

939
00:44:36,160 --> 00:44:39,200
Speaker 5: it is. And then the second thing is it involves

940
00:44:39,680 --> 00:44:42,799
Speaker 5: debating people about who gets to call themselves this thing,

941
00:44:42,840 --> 00:44:45,560
Speaker 5: because all you get in return, right, all you get

942
00:44:45,600 --> 00:44:48,520
Speaker 5: in return for the higher difficulty and the work that

943
00:44:48,640 --> 00:44:52,440
Speaker 5: goes unseen is the ability to call yourself a journalist.

944
00:44:53,120 --> 00:44:56,200
Speaker 5: And so it is this thing that of course blew up,

945
00:44:56,280 --> 00:44:59,120
Speaker 5: of course exploded and of course, by the way, Lynn Jones,

946
00:44:59,520 --> 00:45:02,120
Speaker 5: who has it's such a great by the way, just

947
00:45:02,200 --> 00:45:05,319
Speaker 5: like in terms of her vibes, like, the only thing

948
00:45:05,440 --> 00:45:09,120
Speaker 5: that would have been worse for sports media, the press

949
00:45:09,280 --> 00:45:13,400
Speaker 5: corps writ large would have been for this person to

950
00:45:13,560 --> 00:45:16,120
Speaker 5: have been like a kid reporter, like a Make a

951
00:45:16,200 --> 00:45:19,719
Speaker 5: Wish child. It's just like the worst possible stand in

952
00:45:19,880 --> 00:45:22,600
Speaker 5: for a problem. But the problem is vocabulary.

953
00:45:22,840 --> 00:45:24,200
Speaker 4: Yeah, I think that's rightly paba.

954
00:45:24,560 --> 00:45:26,960
Speaker 2: Let me get you to respond to Pat McAfee who

955
00:45:27,040 --> 00:45:31,960
Speaker 2: says that love seeing these sports journalists getting absolutely buried

956
00:45:32,040 --> 00:45:34,680
Speaker 2: for being curmudgeon bums and goes on to say that

957
00:45:34,840 --> 00:45:37,239
Speaker 2: people like you just actually low key hate sports. Let's

958
00:45:37,239 --> 00:45:38,320
Speaker 2: go ahead and take a listen a bit of what

959
00:45:38,400 --> 00:45:38,879
Speaker 2: he had to say.

960
00:45:39,120 --> 00:45:41,440
Speaker 9: Why is this show having assess And I think it's

961
00:45:41,480 --> 00:45:43,560
Speaker 9: because most of the people that have been covering sports

962
00:45:43,600 --> 00:45:47,440
Speaker 9: for loans and not most, sorry, a percentage larger than

963
00:45:47,480 --> 00:45:50,360
Speaker 9: you would hope, much larger than you would hope, that

964
00:45:50,640 --> 00:45:53,400
Speaker 9: chose to do sports journals. I think they don't like sports.

965
00:45:53,440 --> 00:45:55,960
Speaker 9: I think these people hate sports. I think they're political

966
00:45:56,080 --> 00:45:59,400
Speaker 9: journalists by nature who preyed on sports as an easier

967
00:45:59,520 --> 00:46:01,480
Speaker 9: path to be able to get into the biz. You know,

968
00:46:01,600 --> 00:46:04,640
Speaker 9: sports journalism is everywhere sports media, bum bum bump. I

969
00:46:04,719 --> 00:46:07,160
Speaker 9: don't think they like sports. I think they cover sports.

970
00:46:07,239 --> 00:46:08,360
Speaker 9: I don't think they like sports.

971
00:46:09,040 --> 00:46:14,319
Speaker 7: You're a sponsor, yeah, I want to be very clear

972
00:46:14,360 --> 00:46:14,680
Speaker 7: about this.

973
00:46:15,520 --> 00:46:18,640
Speaker 5: Nothing is quite like sports when it comes to having

974
00:46:18,719 --> 00:46:24,320
Speaker 5: to deal with fandom as well as real serious issues

975
00:46:25,040 --> 00:46:27,960
Speaker 5: like the billions of dollars coursing through it. Like the

976
00:46:28,000 --> 00:46:31,680
Speaker 5: political favor is granted by an administration, like race relations,

977
00:46:31,880 --> 00:46:35,160
Speaker 5: like protests, like free speech, like what it means even

978
00:46:35,680 --> 00:46:39,359
Speaker 5: to be a civic institution that benefits from public money, right,

979
00:46:39,560 --> 00:46:41,080
Speaker 5: so a fascinating thing.

980
00:46:41,200 --> 00:46:42,520
Speaker 7: Right, Like movies are kind of like that.

981
00:46:42,600 --> 00:46:44,360
Speaker 5: You got people who are like, you know, man, that

982
00:46:44,440 --> 00:46:47,320
Speaker 5: guy's a dick because he keeps on criticizing these movies.

983
00:46:47,320 --> 00:46:48,560
Speaker 7: He doesn't really love movies.

984
00:46:49,080 --> 00:46:51,760
Speaker 5: But in this case you also have this larger institution

985
00:46:51,880 --> 00:46:55,080
Speaker 5: that happens to be the last monoculture left in American life. Yes,

986
00:46:55,280 --> 00:46:58,360
Speaker 5: and so what I was expressed to anybody who doubts

987
00:46:58,760 --> 00:47:06,680
Speaker 5: whether a sport journalists loves sports is gatekeeping fandom is

988
00:47:09,080 --> 00:47:15,200
Speaker 5: I would say it's not only childish, it's a contradiction.

989
00:47:15,719 --> 00:47:16,759
Speaker 1: And I say it this way.

990
00:47:17,440 --> 00:47:20,840
Speaker 7: If you're a sports journalist, two things can exist.

991
00:47:21,480 --> 00:47:24,879
Speaker 5: You can absolutely love the games, have grown up loving

992
00:47:24,960 --> 00:47:26,440
Speaker 5: the games to be able to give you chapter in

993
00:47:26,560 --> 00:47:28,480
Speaker 5: verse naming a bunch of guys, a bunch of players,

994
00:47:28,760 --> 00:47:33,000
Speaker 5: be obsessed with the games that are being gate kept. Apparently,

995
00:47:33,520 --> 00:47:36,560
Speaker 5: once you express an interest in telling the truth about something.

996
00:47:37,560 --> 00:47:41,360
Speaker 5: But on the other hand, you can also because again

997
00:47:41,520 --> 00:47:43,759
Speaker 5: it's it's I don't want to be the guy who

998
00:47:44,760 --> 00:47:48,239
Speaker 5: inadvertently quotes the James Baldwin thing about America, right, right,

999
00:47:48,400 --> 00:47:52,000
Speaker 5: But like I love it so much that I must

1000
00:47:52,080 --> 00:47:56,360
Speaker 5: criticize it, you know. And so the fact that critique

1001
00:47:56,480 --> 00:47:59,400
Speaker 5: and hard questions and all of that are mutually exclusive

1002
00:47:59,560 --> 00:48:04,399
Speaker 5: with love something is one of the most logical fallacies. Yeah,

1003
00:48:04,560 --> 00:48:06,720
Speaker 5: one of the most illogical things that can be expressed

1004
00:48:06,719 --> 00:48:09,320
Speaker 5: when it comes to just how you exercise your free speech.

1005
00:48:09,800 --> 00:48:13,120
Speaker 5: And also the last point on this, I suppose is

1006
00:48:14,160 --> 00:48:17,919
Speaker 5: journalism has a problem insofar as it comes off being

1007
00:48:18,000 --> 00:48:21,480
Speaker 5: the school marm, like we're holding a ruler wrapping everybody

1008
00:48:21,760 --> 00:48:23,400
Speaker 5: on the knuckles who wants to have fun and just

1009
00:48:23,440 --> 00:48:27,600
Speaker 5: watch the games, bro. And the whole premise of what

1010
00:48:27,760 --> 00:48:31,959
Speaker 5: I love doing in sports specifically is to remind people

1011
00:48:32,320 --> 00:48:37,200
Speaker 5: that silly and serious, highbrow and lowbrow, smart and stupid

1012
00:48:37,280 --> 00:48:41,279
Speaker 5: can all coexist. Telling a story that is premised on

1013
00:48:41,400 --> 00:48:47,000
Speaker 5: truth does not need to be an exercise in scolding. Oftentimes,

1014
00:48:47,320 --> 00:48:51,399
Speaker 5: it's really fun to find out what people, especially extraordinarily

1015
00:48:51,560 --> 00:48:54,840
Speaker 5: rich and powerful people who would love more Pat McAfee's

1016
00:48:54,840 --> 00:48:57,799
Speaker 5: saying more of exactly what he just said, right, It's

1017
00:48:57,840 --> 00:48:59,480
Speaker 5: really fun to find out what they don't want you

1018
00:48:59,600 --> 00:49:03,239
Speaker 5: to know, and in sports, because they know of this

1019
00:49:03,440 --> 00:49:06,000
Speaker 5: fandom and how fervent it is, and how your love

1020
00:49:06,080 --> 00:49:07,799
Speaker 5: of something can be confused for.

1021
00:49:07,920 --> 00:49:15,560
Speaker 7: Anything resembling gosh an allegiance to truth, which is not.

1022
00:49:15,760 --> 00:49:17,560
Speaker 7: It's just not the same thing. Let's just stop confusing it.

1023
00:49:17,640 --> 00:49:19,160
Speaker 7: You love the team. You don't care about what the

1024
00:49:19,239 --> 00:49:20,800
Speaker 7: team is really trying to do.

1025
00:49:21,120 --> 00:49:23,480
Speaker 1: You just love it, right like illegally funnel money to

1026
00:49:23,600 --> 00:49:25,120
Speaker 1: a player potentially, or.

1027
00:49:27,120 --> 00:49:29,200
Speaker 5: And to that point, when I report on the Clippers

1028
00:49:29,200 --> 00:49:32,240
Speaker 5: stuff right in sports, because it is the toy department,

1029
00:49:32,239 --> 00:49:34,120
Speaker 5: I want to be honest about that too, right like

1030
00:49:34,520 --> 00:49:36,919
Speaker 5: sports reporters should acknowledge and I do all the time

1031
00:49:37,239 --> 00:49:38,880
Speaker 5: that it has the ability to touch all these other

1032
00:49:38,960 --> 00:49:42,120
Speaker 5: serious things, the adult sections of the newspaper. But it

1033
00:49:42,239 --> 00:49:45,240
Speaker 5: is still sports, and I love it for that reason.

1034
00:49:45,640 --> 00:49:47,840
Speaker 5: But in sports you get to have your cake and

1035
00:49:47,880 --> 00:49:50,440
Speaker 5: eat it too. You get the billions of dollars, often

1036
00:49:50,520 --> 00:49:53,080
Speaker 5: in public money, and you escape the scrutiny that.

1037
00:49:53,120 --> 00:49:55,080
Speaker 7: Attends it because it's just the games man.

1038
00:49:55,160 --> 00:49:57,640
Speaker 5: Sports are meant to be fun, and so for exstance,

1039
00:49:57,880 --> 00:49:59,920
Speaker 5: for instance, in sports Zaga, you're just referring to this

1040
00:50:00,040 --> 00:50:03,480
Speaker 5: Clipper's thing, the NBA investigation is happening right now, and

1041
00:50:03,560 --> 00:50:07,360
Speaker 5: it's the example of sports gets to investigate itself.

1042
00:50:08,080 --> 00:50:10,440
Speaker 7: They get to decide are we the bad guys?

1043
00:50:10,960 --> 00:50:11,080
Speaker 5: Right?

1044
00:50:11,400 --> 00:50:12,839
Speaker 7: Who's the turd in the punch bowl?

1045
00:50:13,239 --> 00:50:15,840
Speaker 5: And so it's left the lane, frankly for me to

1046
00:50:15,920 --> 00:50:18,360
Speaker 5: come in and be the guy who tries to, you know,

1047
00:50:18,800 --> 00:50:21,720
Speaker 5: make people realize it can be fun to know the truth.

1048
00:50:22,280 --> 00:50:26,000
Speaker 5: But it's a lot easier and a lot more financially

1049
00:50:26,160 --> 00:50:30,480
Speaker 5: incentivized to just say, can we just have fun, as

1050
00:50:30,560 --> 00:50:34,400
Speaker 5: if there's a choice, as if there's a dichotomy between

1051
00:50:34,920 --> 00:50:35,720
Speaker 5: fun and truth.

1052
00:50:36,080 --> 00:50:38,839
Speaker 2: Well, and also, I mean McAfee says this thing like, oh,

1053
00:50:38,920 --> 00:50:41,680
Speaker 2: they're political journalists by nature who preyed on sports as

1054
00:50:41,680 --> 00:50:43,839
Speaker 2: an easier path to get into the biz. I mean,

1055
00:50:44,120 --> 00:50:46,520
Speaker 2: I know some people like to imagine that sports can

1056
00:50:46,560 --> 00:50:48,880
Speaker 2: be totally divorced from politics, but it just can't be.

1057
00:50:48,960 --> 00:50:51,400
Speaker 2: I mean, as you just said, like a lot of

1058
00:50:51,520 --> 00:50:53,800
Speaker 2: these leagues are sponsored by public money. They get you know,

1059
00:50:53,960 --> 00:50:57,360
Speaker 2: they they are deeply political institutions.

1060
00:50:57,640 --> 00:50:58,799
Speaker 1: The owners are ambassadors.

1061
00:50:59,000 --> 00:51:00,080
Speaker 4: Yeah, I mean, and.

1062
00:51:00,080 --> 00:51:03,400
Speaker 2: Frankly, like every facet of public life is deeply political

1063
00:51:03,480 --> 00:51:06,160
Speaker 2: in some way. But you're dealing with very wealthy people

1064
00:51:06,200 --> 00:51:08,160
Speaker 2: who have a lot of power, who are benefiting from

1065
00:51:08,160 --> 00:51:11,120
Speaker 2: a lot of public money. Of course it's political, like

1066
00:51:11,360 --> 00:51:14,200
Speaker 2: obviously it's political, and to pretend otherwise it is just

1067
00:51:14,280 --> 00:51:15,239
Speaker 2: frankly dishonest.

1068
00:51:16,080 --> 00:51:16,279
Speaker 5: Yeah.

1069
00:51:16,320 --> 00:51:18,160
Speaker 7: I mean, look, we exist in the real world.

1070
00:51:18,440 --> 00:51:20,600
Speaker 5: Like the whole notion of a toy department is that

1071
00:51:20,680 --> 00:51:22,320
Speaker 5: it is like off to the side and it is

1072
00:51:22,560 --> 00:51:25,680
Speaker 5: cloistered and not having to deal with the real world issues.

1073
00:51:26,400 --> 00:51:28,920
Speaker 5: And then, by the way, you get into these stories

1074
00:51:29,000 --> 00:51:31,279
Speaker 5: that break through that everybody has to talk about, and

1075
00:51:31,360 --> 00:51:33,520
Speaker 5: a lot of people are all of a sudden out

1076
00:51:33,560 --> 00:51:36,600
Speaker 5: of their depth because the thing they were pretending, which

1077
00:51:36,640 --> 00:51:38,799
Speaker 5: is that we don't exist in the real world, they

1078
00:51:38,920 --> 00:51:42,360
Speaker 5: have to engage with, right, And when that happens, a

1079
00:51:42,440 --> 00:51:43,960
Speaker 5: lot of people who just say I just want to

1080
00:51:44,000 --> 00:51:46,439
Speaker 5: talk about games Bro, they.

1081
00:51:46,400 --> 00:51:48,920
Speaker 7: Show their ass and it's okay.

1082
00:51:49,080 --> 00:51:50,680
Speaker 5: By the way, if you want to be a person

1083
00:51:50,800 --> 00:51:54,600
Speaker 5: who doesn't do journalism, I want to be very clear

1084
00:51:54,640 --> 00:51:57,880
Speaker 5: about that. It's better for my business. On sub level,

1085
00:51:58,040 --> 00:52:01,200
Speaker 5: it is totally understandable. Maybe just want to be a

1086
00:52:01,320 --> 00:52:03,520
Speaker 5: movie critic, maybe you just want to be a fan,

1087
00:52:04,160 --> 00:52:06,960
Speaker 5: And all I ask in that way is disclosure, right,

1088
00:52:07,239 --> 00:52:09,640
Speaker 5: just like be open and honest about what you're here

1089
00:52:09,719 --> 00:52:13,640
Speaker 5: to do, and don't try to pretend that because you've

1090
00:52:13,719 --> 00:52:17,200
Speaker 5: chosen that thing that the people over here who are imposing,

1091
00:52:17,239 --> 00:52:21,320
Speaker 5: if you have difficulty on themselves that is harder, or

1092
00:52:21,440 --> 00:52:25,879
Speaker 5: are the people who are your enemy. It's it's it's

1093
00:52:25,960 --> 00:52:28,680
Speaker 5: not that way. It's just yeah, it's just it's it's

1094
00:52:28,760 --> 00:52:30,920
Speaker 5: farcical to put it in those terms. It's like a

1095
00:52:31,040 --> 00:52:33,640
Speaker 5: child's understanding of what the media is.

1096
00:52:33,880 --> 00:52:36,319
Speaker 1: Totally. Pablo h thank you so much for joining us. Man,

1097
00:52:36,400 --> 00:52:37,240
Speaker 1: You're so elegant.

1098
00:52:37,400 --> 00:52:37,520
Speaker 8: Uh.

1099
00:52:38,239 --> 00:52:41,400
Speaker 3: We really really hope everybody goes supports your channel, subscribes

1100
00:52:41,440 --> 00:52:42,879
Speaker 3: and supports all of your work that you're doing.

1101
00:52:42,920 --> 00:52:45,600
Speaker 1: And we value you more than any at any time

1102
00:52:45,800 --> 00:52:47,040
Speaker 1: than right now. Thank you very much.

1103
00:52:48,800 --> 00:52:50,719
Speaker 7: I got to read this indictment. I'll come back and

1104
00:52:50,800 --> 00:52:51,440
Speaker 7: talk anytime.

1105
00:52:54,120 --> 00:52:58,120
Speaker 3: Thanks thanks man. Thank you guys so much for watching.

1106
00:52:58,160 --> 00:52:59,960
Speaker 3: We appreciate it. We will see you all later.

1107
00:53:00,040 --> 00:53:00,080
Speaker 5: Just