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Speaker 1: Hey, guys, ready or not, twenty twenty four is here,

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Speaker 1: and we here at Breaking Points, are already thinking of

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Speaker 1: ways we can up our game for this critical election.

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Speaker 1: We rely on our premium subs to expand coverage, upgrade

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Speaker 1: the studio ad staff give you, guys, the best independent

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Speaker 1: coverage that is possible. If you like what we're all about,

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Speaker 1: it means the absolute world to have your support. What

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Speaker 1: are you waiting for? Become a premium subscriber today at

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Speaker 1: Breakingpoints dot com. Good morning, everybody, Happy Monday. We have

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Speaker 1: an amazing show for everybody today. What do we have, Crystal?

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Speaker 1: Indeed we do. Let's to get to you this morning.

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Speaker 1: We got all your seapack highlights for you, President Trump

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Speaker 1: winning the straw poll there quite handily and making some

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Speaker 1: noteworthy comments. We also had Steve Bannon sort of declaring

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Speaker 1: war on Fox News and new revelations about exactly what

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Speaker 1: went down there during the election and stuff to steal

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Speaker 1: in all that, which is pretty interesting. Also another train

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Speaker 1: derailment in Ohio. This comes as Pete Boodhagge is kind

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Speaker 1: of acknowledging that he screwed all of this this amazing

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Speaker 1: headline in CNN. He's rethinking how he does his rethinking.

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Speaker 1: Oh really, okay, we'll tell you about that DNC rigging

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Speaker 1: over the top. They are kind of rejecting democracy in

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Speaker 1: terms of the Democratic primary as Mary and Williamson declairs

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Speaker 1: for president. Some interesting comments there, interesting coverage on MSNBC

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Speaker 1: will break all of that down for you, and Russell

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Speaker 1: Brand getting a lot of attention with some comments about

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Speaker 1: cable News himself on Bill Maher's show over on HBO.

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Speaker 1: We're also excited to have Ryan Graves on the Show's Yeah,

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Speaker 1: that's gonna be a good one. Absolutely. I think the

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Speaker 1: UFO people in particular will enjoy. But anybody, he was

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Speaker 1: a pilot and he saw a lot of interesting things. Well,

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Speaker 1: he's up in there. I'm excited to talk to him. Yes,

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Speaker 1: let's start with the twenty twenty four President Trump returning

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Speaker 1: to cpack in a marathon hour and forty minute long speech.

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Speaker 1: We cut together some highlights for you. The main takeaway

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Speaker 1: I am your retribute. You should. Let's take a list.

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Speaker 1: We had a Republican party that was ruled by freaks,

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Speaker 1: neo khons, globalists, open border zealots, and fools. But we

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Speaker 1: are never going back to the Party of Paul Ryan,

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Speaker 1: Karl Rove, and Jeb Bush. We're not going back to

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Speaker 1: people that want to destroy our great social security system,

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Speaker 1: even some in our own party. I wonder who that

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Speaker 1: might be that want to raise the minimum age of

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Speaker 1: social security to seventy seventy five or even eighty in

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Speaker 1: some cases, and that are out to cut medicare to

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Speaker 1: a level that it will no longer be recognizable. If

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Speaker 1: you look at Ukraine, and we all feel so badly

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Speaker 1: about it, but why isn't NATO putting up dollar for

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Speaker 1: dollar with us? We put up one hundred and forty

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Speaker 1: billion dollars and they put up just a tiny fraction

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Speaker 1: of the China loving politicians, of which there are many.

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Speaker 1: You're listening to this, Mitch McConnell a. You're listening. But

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Speaker 1: I stand here today and I'm the only candidate who

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Speaker 1: can make this promise. I will prevent and very easily,

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Speaker 1: World War three, very easily. And for those who have

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Speaker 1: been wronged and betrayed, I am your retribution. I am

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Speaker 1: your retribution. I'm not gonna let this out. I am

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Speaker 1: your retribution. Powerful. I guess grievance message I mean fits

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Speaker 1: a little bit with American carnage. But the reason the

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Speaker 1: media was focusing in on a lot of that one

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Speaker 1: Obviously that one's on stop the steal, but the previous

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Speaker 1: one's crystal. A lot of that has vient to Trump.

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Speaker 1: That is, I'm going to end world I'm going to

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Speaker 1: end I'm going to what is it end the war

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Speaker 1: in Ukraine in twenty four hours. I can't tell you

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Speaker 1: how I'm going to do it. No World War three

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Speaker 1: on my watch, something that Biden has not yet been

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Speaker 1: able to say publicly. And then really I think the

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Speaker 1: most important one was the Medicare and Social Security, the

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Speaker 1: flaying of Paul Ryan, calling out Mitch McConnell, the establishment, GOP,

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Speaker 1: and just saying, look what these people want to do.

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Speaker 1: They want to cut benefits for hard working earning seniors.

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Speaker 1: I Am not going to let them do that. So

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Speaker 1: you put it all together, you have a very traditional

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Speaker 1: America First speech that he gave there, sprinkled in with

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Speaker 1: the likes a little stop to steel there at the

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Speaker 1: end of a very vague reference to all of that.

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Speaker 1: Not an accident, I think, though, in order to unite

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Speaker 1: the hardcore Trumpers who feel like the election was stolen,

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Speaker 1: with a broader economically populist message, which obviously one in

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Speaker 1: the White House in twenty sixteen. Overall, I mean, you

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Speaker 1: put that together like I think that we did, and

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Speaker 1: that's a solid message. It's a solid message in this primary.

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Speaker 1: Another thing that I was thinking about, I mean that

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Speaker 1: I am your retribution. That has always been the animating

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Speaker 1: energy behind the Trump movement, right. It is smart, smart

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Speaker 1: wordplay exactly so, even you know, in twenty sixteen, the

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Speaker 1: policy pieces loomed a lot larger than at this point

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Speaker 1: they do, even as I do think he is taking

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Speaker 1: out some important position. But what people really love about

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Speaker 1: this guy is that all the people that hate you

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Speaker 1: or that you hate, they are livid about Donald Trump

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Speaker 1: and so leaning into that. I mean, that reminds people

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Speaker 1: why they fell in love with this guy in the

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Speaker 1: Republican base the first time around. So, I mean, this

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Speaker 1: guy is back. He's much more effective than he was

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Speaker 1: during twenty twenty, much more effective than he was in

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Speaker 1: the office season. He's sort of back to form. He

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Speaker 1: is fully back into form. He's also gave an interview

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Speaker 1: with Newsmax to news max is James Rosen right before,

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Speaker 1: where he promised that even if he does get indicted,

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Speaker 1: I am still running. For everybody who's maintaining a fantasy

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Speaker 1: that he won't take a listen to that. Can you

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Speaker 1: take this moment to assure your donors and your supporters

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Speaker 1: that you're in this race to state no matter what

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Speaker 1: happens with those investigations, if you are sure indicted one

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Speaker 1: or more times. Sure well they did two of phony impeachments,

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Speaker 1: and we won that, and the Republicans stuck together and

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Speaker 1: we want as you know, we went up very substantially

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Speaker 1: in the polls. These are witch hunts. Hees have been

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Speaker 1: going on for a long time. They've weaponized justice in

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Speaker 1: our country. It's a disgrace, and I think people are

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Speaker 1: very angry about it. Even Democrats are very angry about it.

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Speaker 1: So he's absolutely I wouldn't even think about leaving. So

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Speaker 1: there you go, he says he'll he's going to run

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Speaker 1: even if he does get indicted. For those who are wondering,

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Speaker 1: as we have previously shown, Eugene Debs, the socialist candidate

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Speaker 1: for president in nineteen twenty while imprisoned in the Atlanta

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Speaker 1: Federal Penitentiary, actually received almost a million votes for candidate.

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Speaker 1: So there is a precedent. One that you can be

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Speaker 1: in prison in a federal prisident actually and still run

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Speaker 1: and receive votes for federal office. I guess that would

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Speaker 1: be a fun one if it ever came down to precedent.

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Speaker 1: But so many indications here about the strength of Trump.

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Speaker 1: Put this next one up there on the screen. Trump

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Speaker 1: overwhelmingly winning the Seapack primary Strawphole. Now does the Seapack

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Speaker 1: primary Straphole matter? I mean not really. Rand Paul has

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Speaker 1: won it at certain points. You know other politicians who've

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Speaker 1: never ended up having a chance in hell. But when

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Speaker 1: I look at this, what I'm looking at are these

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Speaker 1: are not only republic These are the faithful, you know,

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Speaker 1: the people who will fly from all over the country

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Speaker 1: and attend every single one of these And sixty two

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Speaker 1: percent in the poll. Crystal DeSantis comes in second at

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Speaker 1: twenty percent, and the third place pick at five percent

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Speaker 1: was Perry Johnson, a businessman. Yeah, I know, he tried

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Speaker 1: to run for the governor of Michigan. I knew his name,

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Speaker 1: but I had to go back and look it up.

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Speaker 1: Carrie Lake actually received the most support for vice presidential

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Speaker 1: candidate with twenty percent DeSantis. He actually beat DeSantis for

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Speaker 1: the VP slot once again, does seapac matter? Does a

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Speaker 1: primary pole matter? It is not indicative of anything other

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Speaker 1: than what the people at Seapack feel. But I can't

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Speaker 1: help but parrot with that clip that we played in

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Speaker 1: our previous show of Brian kill Me to Fox News

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Speaker 1: going to the people in the diner in Florida. Yeah,

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Speaker 1: and it's like, hey, guys, who are you all going

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Speaker 1: to vote for? All but one says that they're going

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Speaker 1: to vote for Trump? And even that one was like

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Speaker 1: Trump and Nikki Nikki Haley for vice president. There was

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Speaker 1: and she was wearing a Disanta's T shirt. Yeah, and

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Speaker 1: she wouldn't put disant she was saying. She was saying

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Speaker 1: Trump or Dessanta's right, because kill mean came over and

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Speaker 1: was like, you've got a Disanta shirt on, you must

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Speaker 1: be for Disantas and she was like Trump for DeSantis.

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Speaker 1: She ro like cornered into it because she was wearing

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Speaker 1: the T shirt. But I mean, listen, I think it's

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Speaker 1: pretty clear this is the guy to beat at this point.

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Speaker 1: And you know, with regards to him saying he's going

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Speaker 1: to run regardless of indictment, I mean, this was always obvious,

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Speaker 1: but I think there was a lot of elite Republican

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Speaker 1: wish casting that maybe he would just like melt away

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Speaker 1: and sort of like implode and self destruct. That's obviously

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Speaker 1: not happening, and that's why you see all of this

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Speaker 1: cast of characters lining up to try to jockey to

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Speaker 1: be the number two choice. Well, number two doesn't count

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Speaker 1: for anything if number one is still in there and

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Speaker 1: still holding strong. You also, with regard to that, the

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Speaker 1: thing from the Trump presidency that Americans really viscerally reacted

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Speaker 1: against was uysicks and Stop the Stealer. And I think

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Speaker 1: that was really clear in the midterms. Republicans right afterwards,

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Speaker 1: they took a shot at criticizing him over it. You know,

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Speaker 1: Fox News did, some of his allies did. Mitch McConnell did,

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Speaker 1: Nikki Haley did, And then they kind of backed away

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Speaker 1: from that. And since they were not able to get

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Speaker 1: the Republican base on their side with regard to January

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Speaker 1: six and Stop the steal they really aren't armed with

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Speaker 1: the most effective potent attack they could possibly have against Trump.

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Speaker 1: I mean, that is the thing that the American people

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Speaker 1: really viscerally rejected about his administration, and so they've taken

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Speaker 1: that off the table. If he gets indicted, they're going

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Speaker 1: to have to defend him or at least say nothing

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Speaker 1: about it and sort of like, you know, be jamiro

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Speaker 1: about it. And I think it leads them in a

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Speaker 1: really difficult position because other than that, he's in a

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Speaker 1: better position vis a vis the base than they ultimately

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Speaker 1: are with regard to the positions that he's staking out

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Speaker 1: from an issue a perspective. That's why I don't have

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Speaker 1: any sympathy for them. It's like, okay, then don't you're

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Speaker 1: going to cut social Security and pump hundreds of millions

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Speaker 1: of dollars into Ukraine. It's actually not difficult to get

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Speaker 1: on the right side of the base, but you know, okay,

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Speaker 1: they would rather have their elite positions. Well, then you're

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Speaker 1: basically guaranteeing yourself. Trump Trump having some fun with Nicki Haley' speech.

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Speaker 1: Just put this out there on the screen, putting it

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Speaker 1: out saying congratulations to Nicky Haley on drawing such a large,

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Speaker 1: crowded seapack. As I told her, Nikki, follow your heart.

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Speaker 1: For those who are just listening, it shows not even

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Speaker 1: half empty as generous. I'm looking at maybe one quarter.

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Speaker 1: Haley also is that she's got to be one of

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Speaker 1: the dumbest politicians I've ever seen, because she gave a

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Speaker 1: speech immediately after Seapack at the Club for Growth. For

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Speaker 1: those who don't know, it's the tea party group. They

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Speaker 1: got into a big fight with Trump over the Ohio

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Speaker 1: primary when they backed Josh Mandel over jd Vance and

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Speaker 1: they were actually attacking President Trump. They want to return

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Speaker 1: to a more economically libertarian candidacy primary, etc. Okay, Well,

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Speaker 1: she spoke at the conference. At the Club for Growth conference,

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Speaker 1: She's like, I take great pride in being one of

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Speaker 1: the politicians that was invited here. There were some other

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Speaker 1: people that weren't invited here as a veiled attack at Trump.

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Speaker 1: I'm like, yeah, lady, winning the Club for Growth primary invitation,

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Speaker 1: that's definitely how you win a GOP primary, because it's

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Speaker 1: not like they haven't lost all the ones where they've

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Speaker 1: backed somebody against Trump. Just complete and total idiocy. I mean, all,

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Speaker 1: I guess it will show crystals. Yeah, she's gonna have

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Speaker 1: a hell of a lot of money. I mean, I

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Speaker 1: don't remember a time when a hell of a lot

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Speaker 1: of money in a Republican primary with Trump has ever

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Speaker 1: mattered at all. And maybe because you know, it's not

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Speaker 1: like she was the only candidate who was invited to Yes, well,

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Speaker 1: it's not like the DeSantis was there as well, and

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Speaker 1: I think maybe, I don't know, some of the other

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Speaker 1: ones were there too, but Trump didn't get an invite

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Speaker 1: because they have this rift like congratulations you went over,

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Speaker 1: you know, a group of wealthy elites within the Republican Party.

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Speaker 1: Maybe maybe they're auditioning you. Potentially you're going to get

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Speaker 1: their support. But yeah, obviously all of these other contenders

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Speaker 1: they have at least one billionaire who's willing to back them,

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Speaker 1: and so you know, they've convinced themselves that they really

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Speaker 1: have a shot. I think they have been imagining somehow

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Speaker 1: the Trump problem would just solve itself and they wouldn't

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Speaker 1: have to say anything, wouldn't have to do anything, and

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Speaker 1: he would just go away. And I don't know what

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Speaker 1: fantasy world they were ultimately living in when they came

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Speaker 1: up with that notion. Yeah, look, it's a total fantasy.

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Speaker 1: As you can see from that speech, Trump is fully back.

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Speaker 1: Party faithful at the very least remain with him, and

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Speaker 1: it really remains his race to lose. Okay, let's go

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Speaker 1: to this second part here, this is some other very

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Speaker 1: interesting stuff with Ron DeSantis. DeSantis increasingly has been in

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Speaker 1: a tough position. How do I differentiate myself from Trump? First,

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Speaker 1: he said, quote it's silly season, which might be the

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Speaker 1: lamest possible comeback that I've ever seen. But I actually

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Speaker 1: thought this was a revealing one. He is asked what

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Speaker 1: whether or not a Trump endorsement matters for him, and

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Speaker 1: you can just see him contort and become extremely uncomfortable.

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Speaker 1: He blinks like sixty one times in thirty seconds. As

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Speaker 1: the person who flags this for us, everybody, just take

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Speaker 1: a listen. For those who are are those who are listening,

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Speaker 1: We're going to describe it to you on the other

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Speaker 1: side in twenty twenty three. How much do you believe

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Speaker 1: a Trump endorsement matters in American Republican politics today? You know,

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Speaker 1: I don't know. I mean, I think our voters always

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Speaker 1: make their own decisions, and they consider obviously endorsements, and

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Speaker 1: at that time when he was president, was the big Enchilada.

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Speaker 1: But our voters want to look at you and size

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Speaker 1: you up, and they take this the responsibility very very seriously.

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Speaker 1: So look he's blinking there, He's like uh uh, and

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Speaker 1: clearly did not take well to ask answering that question

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Speaker 1: very Also, body language is very uncomfortable. I've been claimed

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Speaker 1: paying close attention to DeSantis and look, he does not

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Speaker 1: open himself up for a lot of interviews. Rupert Murdoch

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Speaker 1: apparently loves Ron DeSantis and so he's been calling him

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Speaker 1: all the time and convincing him to do interviews. So

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Speaker 1: Desanta's did this print interview with the Times of London.

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Speaker 1: It's like a conservative paper that Murdock owns, and he

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Speaker 1: gets real testing whenever you press him on the specifics.

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Speaker 1: One of them was on Ukraine and they were asking

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Speaker 1: him like, okay, do you agree with the Trump position

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Speaker 1: on Ukraine? And he basically cut him off and was like, okay,

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Speaker 1: let's go ahead and move on here now. To one extent,

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Speaker 1: look all politicians do that whenever they get uncomfortable. But

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Speaker 1: also is showing a little bit that whenever it gets

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Speaker 1: into the weeds, he's not comfortable just passing these things around. Now. Look,

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Speaker 1: he is a governor, so he doesn't necessarily have to

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Speaker 1: have an answer on these but you know, you need

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Speaker 1: to show a little bit more of a backbone whenever

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Speaker 1: you're in these interviews. If you're going to want to

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Speaker 1: be a presidential candidate and have a real lane outside

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Speaker 1: of where Trump is right now, He's just trying to

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Speaker 1: have it all both ways. I'm not comparing Ronda Santis

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Speaker 1: to the political capabilities of Kamala Harris. However, I will

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Speaker 1: say that prior to her running for president, the word

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Speaker 1: in political circles was that she was very cautious and

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Speaker 1: even with potentially friendly media personalities, she was very careful

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Speaker 1: about what interviews she did. She had to be fully prepared.

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Speaker 1: She's one of these that always the aids would be like,

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Speaker 1: all right, what specifically are you going to ask her

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Speaker 1: about before she got in there. And I think in

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Speaker 1: part because she didn't get that practice of mixing it

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Speaker 1: up with the press or was incapable, I think really

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Speaker 1: of being able to mix it up with more adversarial questioning.

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Speaker 1: It made her a very brittle political figure where the

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Speaker 1: only thing she could really do was if she had

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Speaker 1: like a set piece that she'd practiced and talking points

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Speaker 1: that she'd practiced, she could deliver them. But outside of that,

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Speaker 1: if you had an actual give and take where you

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Speaker 1: have to think on your feet, which is a skill

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Speaker 1: that you develop like any other skill. She is very, very,

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Speaker 1: very bad, and we've seen that particularly on display during

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Speaker 1: this presidency e A. Lester Hold interview ors she's talking about,

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Speaker 1: you know, the border situation, et cetera. So I think

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Speaker 1: that Ron DeSantis is doing himself a disservice by not

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Speaker 1: taking some calculated risks here of getting the practice of

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Speaker 1: mixing it up with more media figures, including some who

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Speaker 1: may be more adversarial, because it's better to have some

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Speaker 1: flubs and some screw ups. Now when the stakes are

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Speaker 1: a little bit less high, you think you're going to

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Speaker 1: be able to mix it up with Donald Trump if

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Speaker 1: you can't handle a Fox News question here. So the

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Speaker 1: fact that he is so careful and cautious and pre

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Speaker 1: planned and selective about the interviews that he does, I

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Speaker 1: think it's a telling sign. And it also, like I said,

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Speaker 1: I think does him a disservice in terms of the

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Speaker 1: practice that he needs to be able to handle a

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Speaker 1: presidential primary. Absolutely right, And at the same time, you've

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Speaker 1: got one of the other potential rivals. I'm putting rivals

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Speaker 1: in quotes here because it would have been more of

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Speaker 1: a Meati creation. But honestly, I want to give the

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Speaker 1: man props. Larry Hogan, the governor of Maryland, saying I

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Speaker 1: will not be a candidate in the GOP primary. Let's

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Speaker 1: take a listen to what he said. I think I

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Speaker 1: can continue to contribute toward getting the Republican Party back

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Speaker 1: to a more traditional, big tent party that can win

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Speaker 1: elections again without causing being part of a train wreck

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Speaker 1: that might repeat history, and just allow us to nominate

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Speaker 1: Donald Trump as our nominee, because I think that would

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Speaker 1: be bad for the party and bad for the country. Really,

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Speaker 1: I just don't believe that he was the right person

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Speaker 1: to lead the party, and we've proven that and we've

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Speaker 1: lost the last three elections in a row. So look,

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Speaker 1: it gives a case there on why, hey, entering would

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Speaker 1: just make it more likely that Trump would win. And

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Speaker 1: you know what, let's respect the man. You know, I

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Speaker 1: don't agree with Larry Hogan on a lot, but I

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Speaker 1: think that his calculus is correct. You know, one of

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Speaker 1: those where he's not letting his own narcissism get the

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Speaker 1: better of him. He's like, I think there's probably another

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Speaker 1: candidate we could probably all unify around him visa v. Trump,

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Speaker 1: and then that person has a more realistic chance of

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Speaker 1: taking him down. If you don't want Trump to win,

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Speaker 1: that's the best possible case that you could make. Unfortunately,

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Speaker 1: we have seen that narcissism is pretty significant of a

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Speaker 1: personality disorder amongst the Mike Pompeo's and the nicky Hales

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Speaker 1: and them of the world. I don't get it, you know,

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Speaker 1: I don't see their case. This is so obvious to

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Speaker 1: anyone with the brain. And so I actually think we

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Speaker 1: should take time to praise the politicians who are realistic.

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Speaker 1: Thank you, you know you won in Maryland. Congratulations. The

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Speaker 1: idea though, that you would ever win a GOP primary,

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Speaker 1: it's a complete and total fantasy. So let's give them

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Speaker 1: props whenever they step out. Listen, it's very clear that

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Speaker 1: the chance they have of defeating Trump as if everybody

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Speaker 1: who's in the Trump skeptical or never Trump faction of

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Speaker 1: the party unites behind one candidate. And if you have

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Speaker 1: you know, if Larry Hogan drop jumped in and he

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Speaker 1: got let's say five percent of the vote, that's five

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Speaker 1: percent that's not going to Ron DeSantis that he could

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Speaker 1: potentially pick up. And all of that is going to

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Speaker 1: be absolutely critical when you are mounting at this point

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Speaker 1: a real come from behind campaign to try to take

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Speaker 1: out the guy who is the former president and the

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Speaker 1: current clear leader of the Republican Party. He wrote an

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Speaker 1: obed about this too. Let's go and put this up

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Speaker 1: on the screen. From the New York Times. He said,

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Speaker 1: in part, Larry Hogan, I'm not seeking the Republican nomination

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Speaker 1: for president. I believe the tides are finally turning. Republican

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Speaker 1: voters are growing tie of the drama, are open to

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Speaker 1: new leadership. And while I'm optimistic about the future of

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Speaker 1: the Republican Party, I'm deeply concerned about this next election.

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Speaker 1: We cannot afford to have mister Trump as our nominee

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Speaker 1: and suffer defeat for the fourth consecutive election cycle. To

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Speaker 1: once again be a successful governing party, we must move

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Speaker 1: on from mister Trump. There are several competent Republican leaders

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Speaker 1: who have the potential to step up and lead, but

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Speaker 1: the stakes are too high for me to risk being

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Speaker 1: part of another multi car pile up that could potentially

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Speaker 1: help mister Trump recapture the domination. I think all of

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Speaker 1: that is very well. I would say I think the

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Speaker 1: I believe the tides are finally turning part is maybe

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Speaker 1: a little bit of wishful thinking. But in terms of

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Speaker 1: the strategic calculus here, it's very clearly thought out and

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Speaker 1: I think very obvious that you know, the best chance

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Speaker 1: that they have is to night behind one person. Yes,

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Speaker 1: I just in favor of people being realistic here, Like

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Speaker 1: with all of these you know politicians, they all everybody

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Speaker 1: tries to look at the Obama campaign of two thousand

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Speaker 1: and eight has come from behind. Obama, first of all,

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Speaker 1: was an hour ady sitting senator. He was coming up

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Speaker 1: against Hillary. He had a a lot of money and

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Speaker 1: also an organic actual base of the party that wanted

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Speaker 1: him to run. He used that to differentiate himself from

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Speaker 1: Hillary and able to win those come from behind campaigns.

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Speaker 1: But he was starting off almost from a dessantist level

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Speaker 1: of support before he ended up winning that primary. You

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Speaker 1: have to have much more name recognition. You can't be

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Speaker 1: one of these one percenters. In fact, I went back

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Speaker 1: and looked, there is not a single candidate who's won

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Speaker 1: a major party nomination who started off at one or

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Speaker 1: two percent. Almost every single one of them had massive

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Speaker 1: name id The only example you might be able to

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Speaker 1: point to is a Bill Clinton. But even Bill Clinton

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Speaker 1: had been a governor for twelve years, he was the

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Speaker 1: head of the committee, He'd given major speeches at the

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Speaker 1: Democratic Committee whenever that type of stuff mattered, and he

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Speaker 1: was pulling at what ten fifteen percent? He got thirty

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Speaker 1: in New Hampshire. Eventually was able to come back and

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Speaker 1: win in the New York primary, But even he did

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Speaker 1: not start off from even close to the handicap that

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Speaker 1: a lot of these people would be starting off from.

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Speaker 1: So there's no historical basis for a lot of these

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Speaker 1: people's candidacy. Give me one thing, you know, it is

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Speaker 1: a different time now, social media whatever like it would

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Speaker 1: be one thing if these weren't individuals who had already

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Speaker 1: long been on the national scene. When I'm thinking about

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Speaker 1: Nikki Haley, Mike Pompeo, et cetera, et cetera. Right, but

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Speaker 1: the American people kind of know who you are, they

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Speaker 1: kind of seen you in action, and theyre aren't supporting

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Speaker 1: you yet. So what are you going to put into

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Speaker 1: a campaign that is going to dramatically ultimately shift that.

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Speaker 1: So I think, especially for the folks who have been

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Speaker 1: in the political world, on the political scene for a

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Speaker 1: long period of time, and they're still pulling at you know,

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Speaker 1: five seven, ten percent. Sometimes in the case of Mike Pence,

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Speaker 1: I think it is unlikely that you were going to

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Speaker 1: shift that dynamic, especially when listen, they maybe had a

428
00:21:44,119 --> 00:21:46,520
Speaker 1: chance to kind of, you know, stick the knife in

429
00:21:46,800 --> 00:21:49,720
Speaker 1: Trump right after January sixth, he was very vulnerable. The

430
00:21:49,720 --> 00:21:52,760
Speaker 1: American people were absolutely disgusted some of his media allies,

431
00:21:52,800 --> 00:21:55,639
Speaker 1: some of his top allies, and they backed away from that,

432
00:21:55,800 --> 00:21:58,720
Speaker 1: and you're never going to get that opportunity back. Ultimately,

433
00:21:59,119 --> 00:22:01,199
Speaker 1: Also in the wake of the midterm elections, that was

434
00:22:01,240 --> 00:22:03,800
Speaker 1: when he was kind of at his weakest. It was

435
00:22:03,840 --> 00:22:07,160
Speaker 1: really clear he was an electoral liability, especially his election

436
00:22:07,240 --> 00:22:10,439
Speaker 1: and conspiracies. In terms of the midterm results. DeSantis had

437
00:22:10,440 --> 00:22:14,160
Speaker 1: a great night ultimately in Florida, and you know, nobody

438
00:22:14,200 --> 00:22:16,720
Speaker 1: really moved into action to try to take him ount then,

439
00:22:16,800 --> 00:22:20,040
Speaker 1: either because they're all dealing with this prisoner's dilemma of

440
00:22:20,280 --> 00:22:23,639
Speaker 1: they know whoever goes after him is likely to get nuked,

441
00:22:23,680 --> 00:22:25,439
Speaker 1: so they're just hoping that somebody else is going to

442
00:22:25,440 --> 00:22:28,600
Speaker 1: do their dirty work for them, and ultimately no one is.

443
00:22:28,720 --> 00:22:30,520
Speaker 1: They're not going to come to your rescue. If you

444
00:22:30,680 --> 00:22:33,639
Speaker 1: want to take out Trump, you have to be able

445
00:22:33,720 --> 00:22:35,760
Speaker 1: to make a cogent case against him that is going

446
00:22:35,800 --> 00:22:37,720
Speaker 1: to land with the Republican base. I have yet to

447
00:22:37,720 --> 00:22:39,320
Speaker 1: see any evidence that any of these people are up

448
00:22:39,359 --> 00:22:42,000
Speaker 1: to the task that I agree with. All Right, so

449
00:22:42,560 --> 00:22:46,520
Speaker 1: this is another little nugget from Seapac. Steve Bannon was

450
00:22:46,560 --> 00:22:50,320
Speaker 1: there and he basically declared all out war on Fox News.

451
00:22:50,359 --> 00:22:53,119
Speaker 1: Take a listen, Okay, Murdoch, here's the way it's going

452
00:22:53,200 --> 00:22:58,800
Speaker 1: to be. Brother. You've disrespected Donald J. Trump long enough. Okay,

453
00:22:59,080 --> 00:23:03,360
Speaker 1: he goes to Palestine and gets a Biden administration. It's

454
00:23:03,359 --> 00:23:05,720
Speaker 1: a global news event and you don't cover it live.

455
00:23:06,000 --> 00:23:08,120
Speaker 1: Is there that much happening on Fox News at two

456
00:23:08,160 --> 00:23:11,800
Speaker 1: in the afternoon that you can't cover him live? He

457
00:23:11,960 --> 00:23:15,760
Speaker 1: hasn't been on Fox News since he announced for presidency.

458
00:23:16,040 --> 00:23:18,639
Speaker 1: Let me ask you, any guy that brought peace to

459
00:23:18,680 --> 00:23:21,439
Speaker 1: the world for four years until Chinese let off a

460
00:23:21,480 --> 00:23:24,879
Speaker 1: bio weapon, right, wouldn't you think to have respect for

461
00:23:24,920 --> 00:23:27,399
Speaker 1: the audience, you would have him back up here to

462
00:23:27,480 --> 00:23:30,600
Speaker 1: talk about the geopolgus. What if you had respect for people,

463
00:23:30,640 --> 00:23:35,320
Speaker 1: would you do that? They don't respect you. Read the depositions,

464
00:23:35,640 --> 00:23:39,080
Speaker 1: the deposition. They have a fear, a loathing and contempt

465
00:23:39,280 --> 00:23:42,560
Speaker 1: for you. He's actually right about that last part. That

466
00:23:42,680 --> 00:23:44,679
Speaker 1: was one of my takeaways from the deposition. Now, he

467
00:23:44,720 --> 00:23:46,240
Speaker 1: doesn't mean it the way I do. The way I

468
00:23:46,320 --> 00:23:48,040
Speaker 1: mean it is like they're willing to lie to their

469
00:23:48,080 --> 00:23:51,440
Speaker 1: audience for readings and money. His view was like, oh,

470
00:23:51,480 --> 00:23:53,680
Speaker 1: they weren't willing to go along with the stop the

471
00:23:53,680 --> 00:23:56,960
Speaker 1: steal conspiracies. And you know that he takes sort of

472
00:23:57,000 --> 00:23:59,800
Speaker 1: the opposite approach in terms of his conclusion that they

473
00:23:59,800 --> 00:24:02,120
Speaker 1: have contempt for their own viewership. But I do think

474
00:24:02,119 --> 00:24:04,840
Speaker 1: that that is a logical conclusion from the depositions and

475
00:24:04,880 --> 00:24:06,800
Speaker 1: all of the text messages that came out during that time.

476
00:24:07,040 --> 00:24:08,760
Speaker 1: I do agree that there's a lot of contempt. Yeah,

477
00:24:08,880 --> 00:24:10,840
Speaker 1: you're right, and in a way they almost realize their

478
00:24:10,840 --> 00:24:13,200
Speaker 1: own power. They're like, wow, you know, people really believe

479
00:24:13,240 --> 00:24:15,200
Speaker 1: a lot of what we say, and they're not even look,

480
00:24:15,240 --> 00:24:17,480
Speaker 1: I mean, they're like all these people are totally captured.

481
00:24:17,520 --> 00:24:20,120
Speaker 1: But I do think that he isn't wrong, which is Look,

482
00:24:20,160 --> 00:24:22,479
Speaker 1: you know, with Fox, they have had a yo yo

483
00:24:22,640 --> 00:24:24,679
Speaker 1: on Trump from the beginning. They were against him than

484
00:24:24,680 --> 00:24:26,960
Speaker 1: they were formed whenever he was good for ratings. And

485
00:24:27,000 --> 00:24:29,960
Speaker 1: do any of us have any real like confidence that

486
00:24:30,040 --> 00:24:32,560
Speaker 1: after he wins a nomination that they won't be covering

487
00:24:32,640 --> 00:24:34,920
Speaker 1: him and going to bat for him, and of course

488
00:24:34,960 --> 00:24:37,720
Speaker 1: they will, So just stop the game. Stop pretending. That's

489
00:24:37,720 --> 00:24:41,000
Speaker 1: actually what I find most disgusting, like in general, with

490
00:24:41,119 --> 00:24:43,040
Speaker 1: all of these just treat everybody fairly. You know, they

491
00:24:43,040 --> 00:24:46,000
Speaker 1: shouldn't be blocking him off. Also, I guarantee you that's

492
00:24:46,000 --> 00:24:49,080
Speaker 1: not what his audience wants either. So they're trying to

493
00:24:49,080 --> 00:24:51,159
Speaker 1: have it both ways where they're an active influence in

494
00:24:51,200 --> 00:24:53,560
Speaker 1: the Republican Party, but then they also bow to their

495
00:24:53,640 --> 00:24:56,200
Speaker 1: viewers whenever the time comes. So you really do need

496
00:24:56,240 --> 00:24:57,879
Speaker 1: to pick one. Just give people what they want, and

497
00:24:57,920 --> 00:25:00,520
Speaker 1: I think that's what those people want. I think we're

498
00:25:00,520 --> 00:25:01,919
Speaker 1: going to I'm going to tell you a little bit

499
00:25:01,920 --> 00:25:03,919
Speaker 1: more about you know, what's what was revealed in the

500
00:25:03,960 --> 00:25:06,359
Speaker 1: depositions and all of that going on behind the scenes,

501
00:25:06,359 --> 00:25:09,640
Speaker 1: because I do think it is a fascinating look at

502
00:25:09,640 --> 00:25:13,479
Speaker 1: the way these cable news outfits actually operate and what

503
00:25:13,520 --> 00:25:17,080
Speaker 1: they actually care about. But a really clear takeaway here

504
00:25:17,400 --> 00:25:20,000
Speaker 1: is that you know, all of the idea of Okay,

505
00:25:20,040 --> 00:25:22,639
Speaker 1: Fox News determines what the Republican base cares about, and

506
00:25:22,680 --> 00:25:24,720
Speaker 1: Fox News tells the Republican base who they're going to

507
00:25:24,800 --> 00:25:27,040
Speaker 1: vote for and who the right candidate is. That may

508
00:25:27,040 --> 00:25:29,080
Speaker 1: have been the case at one point, maybe two thousand

509
00:25:29,080 --> 00:25:30,920
Speaker 1: and four, maybe that was the case at one point.

510
00:25:31,200 --> 00:25:34,480
Speaker 1: It is really not the case anymore because they wanted

511
00:25:34,520 --> 00:25:38,000
Speaker 1: to push back on the Stop the Steal conspiracies, and

512
00:25:38,119 --> 00:25:41,240
Speaker 1: ultimately there was such a revolt from their own audience

513
00:25:41,320 --> 00:25:45,520
Speaker 1: and like instantaneous, especially over the Arizona Call, that they

514
00:25:45,800 --> 00:25:48,040
Speaker 1: changed the way they were operating, and they sort of

515
00:25:48,080 --> 00:25:51,080
Speaker 1: gave some of their primetime hosts, in particular, free reign

516
00:25:51,440 --> 00:25:56,199
Speaker 1: to indulge the most insane of the conspiracy theories with

517
00:25:56,240 --> 00:25:59,400
Speaker 1: regard to stop the Steal. So the idea that they

518
00:25:59,400 --> 00:26:03,240
Speaker 1: are going to be to have control over the Republican primary,

519
00:26:03,600 --> 00:26:05,760
Speaker 1: and that since Ronda Santis is their guy, they're going

520
00:26:05,800 --> 00:26:08,240
Speaker 1: to be able to push Ronda Santis on the Republican base.

521
00:26:08,440 --> 00:26:10,959
Speaker 1: I mean, listen, maybe the Republican base chooses Ronda Santis.

522
00:26:10,960 --> 00:26:12,720
Speaker 1: That is certainly still a possibility. I don't want to

523
00:26:12,760 --> 00:26:15,320
Speaker 1: rule it out, but it's not going to be because

524
00:26:15,440 --> 00:26:17,840
Speaker 1: Fox News decided this is the candidate. Because they have

525
00:26:17,920 --> 00:26:20,480
Speaker 1: lost control of the Republican base to the extent that

526
00:26:20,480 --> 00:26:22,560
Speaker 1: they ever had them And I do think it is

527
00:26:22,680 --> 00:26:28,080
Speaker 1: really obviously, like blatantly biased that they've been having Desantas

528
00:26:28,119 --> 00:26:30,840
Speaker 1: on for all kinds of like puff pieces and softball

529
00:26:30,960 --> 00:26:33,959
Speaker 1: interviews and going down to Florida and all of this,

530
00:26:34,000 --> 00:26:36,280
Speaker 1: And we track this even before the midterms, they started

531
00:26:36,640 --> 00:26:39,080
Speaker 1: in this direction. They would put together these pieces like

532
00:26:39,200 --> 00:26:42,119
Speaker 1: cherry picking voters that would say, oh, I love Rhonda Santis.

533
00:26:42,200 --> 00:26:45,919
Speaker 1: Ronda Santis is great. And Trump reportedly is on a

534
00:26:45,960 --> 00:26:48,119
Speaker 1: soft ban at the network he has not been on

535
00:26:48,200 --> 00:26:50,600
Speaker 1: since he announced his candidacy, and neither have any of

536
00:26:50,640 --> 00:26:52,879
Speaker 1: his family members and children I think are also on

537
00:26:52,920 --> 00:26:55,560
Speaker 1: the same soft ban. So it's really clear what side

538
00:26:55,640 --> 00:26:57,919
Speaker 1: they have come down on. They definitely preferred to Santis

539
00:26:57,960 --> 00:27:00,600
Speaker 1: to Trump. Is that ultimately going to matter? I kind

540
00:27:00,600 --> 00:27:02,720
Speaker 1: of don't really think so. Yeah, I don't think so either.

541
00:27:02,840 --> 00:27:05,880
Speaker 1: I mean, why don't we go to the deposition? Yeah, okay,

542
00:27:05,920 --> 00:27:07,480
Speaker 1: So go ahead and put this. This is a deep

543
00:27:07,520 --> 00:27:10,160
Speaker 1: dive from the New York Times about some parts of

544
00:27:10,200 --> 00:27:13,280
Speaker 1: this deposition. This is all with regard to the dominion

545
00:27:13,800 --> 00:27:17,520
Speaker 1: lawsuit against Fox News. I have no insight into whether

546
00:27:17,560 --> 00:27:20,120
Speaker 1: this lawsuit is ultimately going to succeed, but I can

547
00:27:20,200 --> 00:27:22,040
Speaker 1: say that what has come out of it has been

548
00:27:22,119 --> 00:27:25,000
Speaker 1: quite fascinating. So the headline here is inside the panic

549
00:27:25,000 --> 00:27:27,520
Speaker 1: at Fox News after the twenty twenty election. If we

550
00:27:27,560 --> 00:27:30,840
Speaker 1: hadn't called Arizona, said Suzanne Scott, who's the networks chief executive.

551
00:27:30,840 --> 00:27:32,879
Speaker 1: According to a recording reviewed by The New York Times,

552
00:27:33,000 --> 00:27:36,960
Speaker 1: our ratings would have been bigger. Yeah, and the whole article.

553
00:27:37,040 --> 00:27:39,399
Speaker 1: I'll give you some of the specific details here, but

554
00:27:39,480 --> 00:27:43,080
Speaker 1: that's basically the whole tenor of what was going on

555
00:27:43,119 --> 00:27:46,800
Speaker 1: at Fox News behind the scenes after they called Arizona, which,

556
00:27:46,840 --> 00:27:50,240
Speaker 1: by the way, they were right about. They had developed

557
00:27:50,240 --> 00:27:56,200
Speaker 1: their own proprietary system to predict and accurately call races

558
00:27:56,240 --> 00:27:58,919
Speaker 1: across the country. That's why they were ahead of the

559
00:27:58,960 --> 00:28:02,280
Speaker 1: game on Arizona, something that news networks would typically be

560
00:28:02,400 --> 00:28:06,000
Speaker 1: very proud of. But there was such a massive backlash

561
00:28:06,080 --> 00:28:09,520
Speaker 1: they actually ended up firing the two key people who

562
00:28:09,520 --> 00:28:14,440
Speaker 1: were involved in making that correct decision because there was

563
00:28:14,480 --> 00:28:17,679
Speaker 1: such a fewer backlash. And then, and this is also,

564
00:28:17,800 --> 00:28:22,800
Speaker 1: I mean, this is really astonishing, they debated internally how

565
00:28:22,840 --> 00:28:26,880
Speaker 1: they should handle ultimately calling the race for now President

566
00:28:26,960 --> 00:28:30,560
Speaker 1: Biden because they knew they were likely to be first

567
00:28:30,600 --> 00:28:33,359
Speaker 1: because their system was better than all of the other networks,

568
00:28:33,560 --> 00:28:36,200
Speaker 1: but they did not want to be first, so they

569
00:28:36,280 --> 00:28:39,720
Speaker 1: decided to actually sandbag it and wait for the other

570
00:28:39,800 --> 00:28:42,600
Speaker 1: networks to call, even though they had gotten the official

571
00:28:42,600 --> 00:28:45,520
Speaker 1: call from their own election desk like a day earlier.

572
00:28:45,840 --> 00:28:49,120
Speaker 1: But they want They waited intentionally to try to take

573
00:28:49,160 --> 00:28:50,720
Speaker 1: the heat off, and then, like I said, the two

574
00:28:50,760 --> 00:28:54,720
Speaker 1: people who were involved in making those accurate, correct calls

575
00:28:55,200 --> 00:28:57,840
Speaker 1: first of any of the networks get fired for it.

576
00:28:58,080 --> 00:29:00,600
Speaker 1: So let me read you some of this. The details

577
00:29:00,640 --> 00:29:01,960
Speaker 1: here they say a little more than a week after

578
00:29:02,000 --> 00:29:04,920
Speaker 1: television networks called the twenty twenty presidential election for Biden,

579
00:29:05,160 --> 00:29:07,440
Speaker 1: top executives and anchors at Fox News held an after

580
00:29:07,520 --> 00:29:10,000
Speaker 1: action meeting to figure out how they had messed up.

581
00:29:10,200 --> 00:29:12,760
Speaker 1: Not because they'd gotten the call wrong, but because they'd

582
00:29:12,800 --> 00:29:16,640
Speaker 1: gotten it right, and they'd gotten it right before anyone else. Typically,

583
00:29:16,680 --> 00:29:18,240
Speaker 1: it's a point of pride for news network to be

584
00:29:18,320 --> 00:29:20,480
Speaker 1: the first to project election winners. But Fox is no

585
00:29:20,560 --> 00:29:22,880
Speaker 1: typical network, and in the days following the twenty twenty vote,

586
00:29:22,920 --> 00:29:25,640
Speaker 1: it was besieged with angry protests not only from President

587
00:29:25,680 --> 00:29:28,440
Speaker 1: Trump's camp but from its own viewers because it had

588
00:29:28,480 --> 00:29:31,480
Speaker 1: called the battleground state of Arizona for Biden. Never Mind

589
00:29:31,520 --> 00:29:34,400
Speaker 1: the call was correct, Fox executives worried they would lose

590
00:29:34,440 --> 00:29:37,480
Speaker 1: viewers to hardwright competitors like Newsmax, and so On Monday,

591
00:29:37,520 --> 00:29:40,280
Speaker 1: November sixteenth, Zan Scott, who was the head of the network,

592
00:29:40,280 --> 00:29:43,200
Speaker 1: and Jay Wallace, the network's president, convened a zoom meaning

593
00:29:43,240 --> 00:29:46,560
Speaker 1: for an extraordinary discussion with an unusual goal, how to

594
00:29:46,680 --> 00:29:49,920
Speaker 1: keep from angering the network's conservative audience again by calling

595
00:29:49,920 --> 00:29:53,440
Speaker 1: an election for a Democrat before the competition. They floated

596
00:29:53,440 --> 00:29:56,720
Speaker 1: a bunch of different ideas. Maybe Fox executives use they

597
00:29:56,720 --> 00:30:00,600
Speaker 1: should abandon this sophisticated new election projecting syste which Fox

598
00:30:00,600 --> 00:30:04,080
Speaker 1: had invested millions of dollars, and go back to a worse,

599
00:30:04,640 --> 00:30:07,960
Speaker 1: less accurate model they had been using before. Or maybe

600
00:30:08,000 --> 00:30:10,200
Speaker 1: they should base calls not solely on numbers but how

601
00:30:10,280 --> 00:30:14,400
Speaker 1: viewers might react. Or maybe they should delay calls even

602
00:30:14,440 --> 00:30:16,720
Speaker 1: if they were right, just to keep the audience in

603
00:30:16,760 --> 00:30:20,800
Speaker 1: suspense and boost viewership. Here's a quote. Listen. It's one

604
00:30:20,840 --> 00:30:23,160
Speaker 1: of the sad realities. If we hadn't called Arizona those

605
00:30:23,160 --> 00:30:25,360
Speaker 1: three or four days following the election day, our ratings

606
00:30:25,400 --> 00:30:28,800
Speaker 1: would have been bigger. Suzanne Scott said. The mystery would

607
00:30:28,840 --> 00:30:31,000
Speaker 1: have still been hanging out there. And there's a lot

608
00:30:31,000 --> 00:30:33,360
Speaker 1: more like that. And by the way, Brett Baarr and

609
00:30:33,360 --> 00:30:35,320
Speaker 1: Martha McCallum, who were held out is like, you know,

610
00:30:35,360 --> 00:30:37,880
Speaker 1: the pinnacle of their news gathering whatever. They were deeply

611
00:30:37,920 --> 00:30:39,640
Speaker 1: involved in this, and they were on the same side

612
00:30:39,640 --> 00:30:41,440
Speaker 1: of like, hey, let's wait, because they were the ones

613
00:30:41,480 --> 00:30:43,720
Speaker 1: getting a lot of the pushback from viewers. They didn't

614
00:30:43,800 --> 00:30:46,040
Speaker 1: like taking the heat, and so they were also in

615
00:30:46,080 --> 00:30:49,280
Speaker 1: favor of let's sandbag, let's let the other networks make

616
00:30:49,320 --> 00:30:52,080
Speaker 1: the call, even though we are likely to know ahead

617
00:30:52,080 --> 00:30:54,360
Speaker 1: of everybody else. Yeah. Look, I mean, I think one

618
00:30:54,360 --> 00:30:56,000
Speaker 1: of the things we always try and emphasize here is

619
00:30:56,040 --> 00:30:58,360
Speaker 1: how bad all three of these cable networks are. I mean,

620
00:30:58,360 --> 00:30:59,840
Speaker 1: look at that. This how much contempt that they have.

621
00:31:00,040 --> 00:31:04,560
Speaker 1: They are willing to abandon their proprietary system just because

622
00:31:04,800 --> 00:31:07,960
Speaker 1: they're afraid of what their core viewer base may think.

623
00:31:08,160 --> 00:31:11,560
Speaker 1: That's outrageous. I mean, they are willing to abandon their

624
00:31:11,680 --> 00:31:15,480
Speaker 1: actual factual calls on the state of Arizona and others

625
00:31:15,680 --> 00:31:17,800
Speaker 1: based on the millions of dollars that they spent on

626
00:31:17,840 --> 00:31:20,760
Speaker 1: the system. And supposedly, we're very proud of all because

627
00:31:21,040 --> 00:31:24,040
Speaker 1: it goes against the editorial direction of the network. It

628
00:31:24,080 --> 00:31:27,000
Speaker 1: just shows you that, like literally the feelings do trump

629
00:31:27,040 --> 00:31:29,600
Speaker 1: facts over yes, and at all of these I really

630
00:31:29,640 --> 00:31:33,400
Speaker 1: do feel that less the money fast overall, right, oh,

631
00:31:33,480 --> 00:31:35,680
Speaker 1: our ratings would have been higher, I mean, and then

632
00:31:35,760 --> 00:31:38,440
Speaker 1: going and firing some of the people that were involved.

633
00:31:38,480 --> 00:31:41,280
Speaker 1: It's just totally ridiculous the way that they handle themselves.

634
00:31:41,320 --> 00:31:43,080
Speaker 1: And that's why they need to pick. You can either

635
00:31:43,120 --> 00:31:45,600
Speaker 1: go editorially, can go facts. You can't do both. Yes, well,

636
00:31:46,400 --> 00:31:52,240
Speaker 1: I'm reminded of back in twenty twelve when it was

637
00:31:52,280 --> 00:31:55,080
Speaker 1: becoming they had really sold to their audience leading up

638
00:31:55,120 --> 00:31:59,600
Speaker 1: to twenty twelve election presidential election that any a toaster

639
00:31:59,640 --> 00:32:02,120
Speaker 1: could be Obama, any buddy could beat Obama. He was

640
00:32:02,160 --> 00:32:04,760
Speaker 1: completely hated, you know, Mitt Romney was a shoe in.

641
00:32:05,320 --> 00:32:07,480
Speaker 1: And so then when election night comes and the results

642
00:32:07,520 --> 00:32:09,480
Speaker 1: are not turning out that way, you know, there was

643
00:32:09,520 --> 00:32:12,040
Speaker 1: a lot of sort of panic and meltdown on the network,

644
00:32:12,280 --> 00:32:16,000
Speaker 1: and in particular Carl Rove was they had called Ohio

645
00:32:16,240 --> 00:32:17,960
Speaker 1: and Carl Rove was like, no, no, no, this is

646
00:32:18,000 --> 00:32:20,200
Speaker 1: too early. I'm talking to people. This county's out, that's

647
00:32:20,240 --> 00:32:23,719
Speaker 1: county still out. And Megan Kelly famously said to him like,

648
00:32:24,400 --> 00:32:26,720
Speaker 1: is this real math or is this just math you

649
00:32:26,760 --> 00:32:29,040
Speaker 1: do as a Republican and make yourself feel better, And

650
00:32:29,080 --> 00:32:31,800
Speaker 1: it led to an extraordinary television moment where she actually

651
00:32:31,800 --> 00:32:33,800
Speaker 1: they took the camera, she walked down the hall to

652
00:32:33,960 --> 00:32:37,360
Speaker 1: the decision desk they live on air, justified why they

653
00:32:37,400 --> 00:32:40,440
Speaker 1: made that call, et cetera, and didn't back down. And

654
00:32:40,600 --> 00:32:42,640
Speaker 1: that was in the pre Trump era, when I think

655
00:32:42,680 --> 00:32:46,000
Speaker 1: they still felt a lot more confident with their position

656
00:32:46,160 --> 00:32:49,920
Speaker 1: visa via the Republican base. Now they don't have that

657
00:32:49,960 --> 00:32:52,440
Speaker 1: same level of confidence that they can, you know, stick

658
00:32:52,440 --> 00:32:54,800
Speaker 1: to the facts when it comes to something as black

659
00:32:54,840 --> 00:32:57,480
Speaker 1: and white as did the President win this state or not.

660
00:32:58,040 --> 00:33:00,360
Speaker 1: They clearly don't feel that same level of comf evidence

661
00:33:00,640 --> 00:33:02,920
Speaker 1: and they are terrified that their viewer base is going

662
00:33:02,960 --> 00:33:05,600
Speaker 1: to abandon them in droves. But I think it really

663
00:33:05,720 --> 00:33:08,640
Speaker 1: is an extraordinary window into not just Fox News, but

664
00:33:08,680 --> 00:33:12,560
Speaker 1: CNN and MSNBC. I mean, they have these same business incentives. Ultimately,

665
00:33:12,600 --> 00:33:15,640
Speaker 1: it is not about facts. It's not about journalism. You

666
00:33:15,640 --> 00:33:18,000
Speaker 1: could see this certainly in the Russia Gate coverage for example.

667
00:33:18,040 --> 00:33:21,360
Speaker 1: Over at MSNBC. It's about feeding an audience. The things

668
00:33:21,360 --> 00:33:23,640
Speaker 1: that they want to see and feeding them the things

669
00:33:23,640 --> 00:33:26,440
Speaker 1: that they can tell are going to juice ratings, regardless

670
00:33:26,440 --> 00:33:28,320
Speaker 1: of whether they are the most important stories or whether

671
00:33:28,320 --> 00:33:31,479
Speaker 1: those stories are ultimately accurate. So I think that's why

672
00:33:31,760 --> 00:33:35,800
Speaker 1: these texts and these internal meetings are so extraordinary to

673
00:33:35,960 --> 00:33:39,040
Speaker 1: actually watch it laid out in black and white, like

674
00:33:39,080 --> 00:33:41,320
Speaker 1: on their own voices. These are all recordings from the

675
00:33:41,440 --> 00:33:44,440
Speaker 1: Zoom meeting explaining that the thing they cared the most

676
00:33:44,440 --> 00:33:47,560
Speaker 1: about is the ratings, and that they're terrified of their

677
00:33:47,600 --> 00:33:50,080
Speaker 1: own audience. There's one more piece of this that I

678
00:33:50,120 --> 00:33:53,680
Speaker 1: think is worth getting into. Rupert Murdoch admitted, as part

679
00:33:53,720 --> 00:33:55,680
Speaker 1: of his deposition, go and put this next piece up

680
00:33:55,720 --> 00:33:58,640
Speaker 1: on the screen, guys, that some Fox News hosts had

681
00:33:58,720 --> 00:34:03,400
Speaker 1: endorsed Trump's false election fraud claims. He acknowledged this in

682
00:34:03,520 --> 00:34:07,040
Speaker 1: unveiled question answers from his deposition. He was asked if

683
00:34:07,040 --> 00:34:09,880
Speaker 1: he was quote now aware that Fox endorsed at times

684
00:34:09,880 --> 00:34:13,080
Speaker 1: this false notion of a stolen election. Murdoch responded, quote

685
00:34:13,120 --> 00:34:16,200
Speaker 1: not Fox, meaning not the network. No, not Fox, but

686
00:34:16,280 --> 00:34:21,640
Speaker 1: maybe lou Dobbs, maybe Maria Bartiroo as commentators. He went

687
00:34:21,680 --> 00:34:24,640
Speaker 1: on to say, some of our commentators were endorsing it.

688
00:34:25,040 --> 00:34:28,880
Speaker 1: They endorsed, so an acknowledgment there of you know what

689
00:34:28,960 --> 00:34:30,880
Speaker 1: was kind of plainly obvious to anyone who was watching

690
00:34:30,880 --> 00:34:32,879
Speaker 1: this all unfold at the time. All I would say

691
00:34:32,920 --> 00:34:35,160
Speaker 1: is this is a sign of a dying organization. You know,

692
00:34:35,239 --> 00:34:37,440
Speaker 1: whenever you're dying, one of the ways that you want

693
00:34:37,480 --> 00:34:40,080
Speaker 1: to make sure that you're not a precarious spot is

694
00:34:40,120 --> 00:34:42,319
Speaker 1: to get to some tipping point where you may tip

695
00:34:42,360 --> 00:34:44,600
Speaker 1: you over to the point where you're just ultimately going

696
00:34:44,680 --> 00:34:46,560
Speaker 1: to fail. The twenty twenty twelve that's when their ratings

697
00:34:46,600 --> 00:34:48,239
Speaker 1: are much stronger. They had a much better hold on

698
00:34:48,280 --> 00:34:51,440
Speaker 1: linear TV, they didn't feel as under threat by newsbacks,

699
00:34:51,440 --> 00:34:53,560
Speaker 1: by Oan and all these others were no real competitors.

700
00:34:53,560 --> 00:34:55,040
Speaker 1: You know what the irony is to all of this,

701
00:34:55,040 --> 00:34:57,920
Speaker 1: This whole thing is IDEOC might cost them a billion

702
00:34:58,040 --> 00:35:00,920
Speaker 1: six in a settlement with domin at the end of

703
00:35:00,960 --> 00:35:03,480
Speaker 1: the end, not to mention the reputational damage of all

704
00:35:03,600 --> 00:35:06,400
Speaker 1: the depositions that now Steve Bannon, your enemies from the

705
00:35:06,480 --> 00:35:09,160
Speaker 1: left and the right are using against you, So not

706
00:35:09,280 --> 00:35:12,360
Speaker 1: playing it straight may actually cost you even more in

707
00:35:12,400 --> 00:35:14,600
Speaker 1: the long run. Yes, an idiot move. From the very

708
00:35:14,600 --> 00:35:16,440
Speaker 1: beginning the last thing I want to say about this

709
00:35:16,560 --> 00:35:19,279
Speaker 1: because we see this in independent media as well. In fact,

710
00:35:19,320 --> 00:35:21,680
Speaker 1: you see it in some ways more often in independent

711
00:35:21,880 --> 00:35:26,279
Speaker 1: media because cable news networks, I mean a lot of

712
00:35:26,320 --> 00:35:29,680
Speaker 1: their pay comes from advertisers from other corporations, from the

713
00:35:29,800 --> 00:35:33,839
Speaker 1: cable news carry rates. Ratings are actually kind of secondary

714
00:35:34,000 --> 00:35:37,680
Speaker 1: in terms of their profit and business model. But audience

715
00:35:37,760 --> 00:35:40,360
Speaker 1: capture is very real. And if you go down the

716
00:35:40,400 --> 00:35:44,280
Speaker 1: path of consistently just leaning into feeding your audience whatever

717
00:35:44,320 --> 00:35:46,719
Speaker 1: it is you think that they want to hear, this

718
00:35:46,760 --> 00:35:49,200
Speaker 1: is the place you're going to end up in where

719
00:35:49,520 --> 00:35:54,040
Speaker 1: you have backed yourself into a corner where you increasingly

720
00:35:54,120 --> 00:35:58,000
Speaker 1: compromise your own ethics, morals, and integrity to try to

721
00:35:58,040 --> 00:36:01,520
Speaker 1: guess what the audience really want wants to hear, versus

722
00:36:01,520 --> 00:36:04,520
Speaker 1: cultivating an audience that expects to be challenged at times,

723
00:36:04,560 --> 00:36:07,040
Speaker 1: that expects that sometimes they're going to disagree with you,

724
00:36:07,160 --> 00:36:09,000
Speaker 1: and is not going to have like a panic attack

725
00:36:09,040 --> 00:36:11,760
Speaker 1: and freak out and melt down run away the minute

726
00:36:11,760 --> 00:36:15,200
Speaker 1: that that happens. So listen, they've walked themselves up to

727
00:36:15,239 --> 00:36:18,480
Speaker 1: this ledge over many, many years, and it's no surprise

728
00:36:18,520 --> 00:36:20,759
Speaker 1: at this point they feel like they can't possibly back

729
00:36:20,760 --> 00:36:22,319
Speaker 1: away from it. Sometimes you got to take the hit.

730
00:36:22,440 --> 00:36:24,120
Speaker 1: Maybe one day we'll tell you about how much money

731
00:36:24,160 --> 00:36:27,960
Speaker 1: we lost on Afghanistan and on your crate. Maybe one

732
00:36:28,040 --> 00:36:30,560
Speaker 1: day we'll reopen the wounds of what it costs to

733
00:36:30,600 --> 00:36:33,239
Speaker 1: actually just tell you what we really thought about Afghanistan.

734
00:36:33,320 --> 00:36:35,880
Speaker 1: I have no regrets about that entire situation. Absolutely not.

735
00:36:38,360 --> 00:36:40,520
Speaker 1: All right, all right, guys, let's turn back to Ohio.

736
00:36:40,960 --> 00:36:43,319
Speaker 1: Is the story we do not want to stop focusing on.

737
00:36:43,719 --> 00:36:46,040
Speaker 1: And we've got some news this morning, which is there

738
00:36:46,160 --> 00:36:52,680
Speaker 1: was another Norfolk Southern train derailment in the state of Ohio.

739
00:36:52,719 --> 00:36:54,080
Speaker 1: Let's go ahead and take a look. This is some

740
00:36:54,160 --> 00:36:56,160
Speaker 1: extraordinary video are going to put up on the screen.

741
00:36:56,360 --> 00:36:58,319
Speaker 1: You can see someone is recording this from their car.

742
00:36:58,440 --> 00:37:01,520
Speaker 1: They're at a train crossing. The train starts to come

743
00:37:01,560 --> 00:37:04,840
Speaker 1: off the tracks. It's hitting like the sign posts there

744
00:37:05,040 --> 00:37:07,720
Speaker 1: that tells you you need to stop for the train.

745
00:37:08,000 --> 00:37:10,680
Speaker 1: Cars starts backing up. I mean, probably needs to turn

746
00:37:10,719 --> 00:37:13,880
Speaker 1: around and get the hell out of there. Absolutely terrifying

747
00:37:13,920 --> 00:37:17,560
Speaker 1: to watch this unfold, and ultimately about twenty cars of

748
00:37:17,640 --> 00:37:21,680
Speaker 1: this cargo train derailed. As they point out in this article.

749
00:37:21,719 --> 00:37:23,520
Speaker 1: Put this up on the screen. This is the second

750
00:37:23,520 --> 00:37:26,960
Speaker 1: derailment obviously of the company's trains in Ohio in a month,

751
00:37:27,600 --> 00:37:30,760
Speaker 1: unlike the February third derailment. Now, they did initially respond

752
00:37:31,280 --> 00:37:35,040
Speaker 1: with has matt you know, with first responders and has

753
00:37:35,120 --> 00:37:38,320
Speaker 1: Matt suits, just to make sure there was nothing toxic

754
00:37:38,480 --> 00:37:42,560
Speaker 1: aboard this train. Apparently there were no hazardous materials aboard

755
00:37:42,560 --> 00:37:46,279
Speaker 1: this train. According to the Columbus Dispatch, it had no passengers.

756
00:37:46,280 --> 00:37:49,200
Speaker 1: It derailed about five pm on Saturday by State Route

757
00:37:49,239 --> 00:37:53,200
Speaker 1: forty one near the Clark County Fairgrounds, and they asked

758
00:37:53,320 --> 00:37:56,520
Speaker 1: residents initially within a small radius about a thousand feet

759
00:37:56,560 --> 00:37:59,600
Speaker 1: of the derailment to shelter in place, but they did

760
00:37:59,600 --> 00:38:04,480
Speaker 1: not issue you formal evacuation orders. Once again Sager highlighting

761
00:38:04,920 --> 00:38:08,920
Speaker 1: just how common derailments are in this country, and again

762
00:38:09,040 --> 00:38:12,400
Speaker 1: this is not something that is a global phenomenon. Specifically

763
00:38:12,440 --> 00:38:16,960
Speaker 1: a problem here because of industry capture and the fact

764
00:38:17,000 --> 00:38:20,239
Speaker 1: that we have rolled back so many safety regulations that

765
00:38:20,360 --> 00:38:23,960
Speaker 1: are designed to try to prevent terrifying incidents such as

766
00:38:23,960 --> 00:38:26,240
Speaker 1: this one. Well, yeah, five thousand residents had to a vacuum.

767
00:38:26,239 --> 00:38:29,280
Speaker 1: It's not a joke, right, I mean people are terrified. Obviously,

768
00:38:29,320 --> 00:38:31,560
Speaker 1: a specially shelter in places, all the shelter in place,

769
00:38:31,640 --> 00:38:33,680
Speaker 1: and they didn't know exactly what they were going to do.

770
00:38:34,200 --> 00:38:37,840
Speaker 1: People are still afraid of what's happening with the toxic chemicals.

771
00:38:37,840 --> 00:38:40,040
Speaker 1: They don't have any response. They don't have any confidence

772
00:38:40,120 --> 00:38:43,560
Speaker 1: right now in the government over their handling of the crisis,

773
00:38:43,600 --> 00:38:45,600
Speaker 1: and I mean, really, why should they. So, you know,

774
00:38:45,640 --> 00:38:48,879
Speaker 1: we're almost over a month now into this entire thing.

775
00:38:48,920 --> 00:38:51,800
Speaker 1: It's beginning to move and slightly out of the headlines.

776
00:38:51,800 --> 00:38:53,080
Speaker 1: And one of the things we're learning is that there's

777
00:38:53,080 --> 00:38:55,480
Speaker 1: almost a thousand train derailments a year in this country.

778
00:38:55,520 --> 00:38:57,600
Speaker 1: And everyone's like, see, why are you focusing on I'm like, wait,

779
00:38:57,640 --> 00:38:59,200
Speaker 1: hold on a second. So how many are in the

780
00:38:59,239 --> 00:39:01,960
Speaker 1: rest of the developed world. Oh, we're orders of magnitude

781
00:39:02,000 --> 00:39:04,440
Speaker 1: higher than everybody else. Okay, America is a big country.

782
00:39:04,440 --> 00:39:08,040
Speaker 1: You certainly have more rail lines, mileage, et cetera. Than

783
00:39:08,120 --> 00:39:10,759
Speaker 1: many others, maybe China and a few others that might

784
00:39:10,760 --> 00:39:13,839
Speaker 1: even come close. But why does this keep happening here?

785
00:39:13,880 --> 00:39:16,680
Speaker 1: And look in those countries. You know, there's pluses and

786
00:39:16,719 --> 00:39:19,200
Speaker 1: minuses to any system, but over there they have much

787
00:39:19,239 --> 00:39:24,160
Speaker 1: more stringent regulation and bigger fines and bigger punishment for

788
00:39:24,200 --> 00:39:26,399
Speaker 1: anybody who has caught breaking the rules like this, Yes,

789
00:39:26,520 --> 00:39:30,840
Speaker 1: exactly right. At the same time, pretty extraordinary interview with

790
00:39:30,960 --> 00:39:35,040
Speaker 1: our friend Pete Footagage, Secretary of Transportation. Let's go and

791
00:39:35,120 --> 00:39:36,880
Speaker 1: put this up on the screen. This was a CNN

792
00:39:37,000 --> 00:39:39,560
Speaker 1: interview that he gave. I presume thinking that he was

793
00:39:39,600 --> 00:39:42,520
Speaker 1: going to get a softball friendly treatment here. The headline

794
00:39:42,560 --> 00:39:46,640
Speaker 1: is just incredible. Pete Footagage starts to rethink how he

795
00:39:46,719 --> 00:39:50,160
Speaker 1: does his job in wake of Alio trade disaster. Oh really,

796
00:39:50,520 --> 00:39:53,160
Speaker 1: oh really, Pete, it wasn't enough, you know, the supply

797
00:39:53,280 --> 00:39:56,920
Speaker 1: chain crisis wasn't enough, the airline crisis, the fact that

798
00:39:56,920 --> 00:40:00,439
Speaker 1: we've had, you know, multiple issues and catastrophes in terms

799
00:40:00,440 --> 00:40:03,120
Speaker 1: of air travel as well. It took to you till

800
00:40:03,280 --> 00:40:06,360
Speaker 1: this moment to realize maybe that you weren't handling things

801
00:40:06,400 --> 00:40:09,719
Speaker 1: and quite the right way by being completely absentee and

802
00:40:09,920 --> 00:40:13,480
Speaker 1: seemingly only caring about like ribbon cutting ceremonies, something that he,

803
00:40:13,520 --> 00:40:16,440
Speaker 1: by the way, admits to in this peace. This is

804
00:40:16,440 --> 00:40:18,200
Speaker 1: what I find so extreme because we've been saying this

805
00:40:18,200 --> 00:40:21,280
Speaker 1: for a while, Like obviously he wanted this job because

806
00:40:21,320 --> 00:40:24,880
Speaker 1: he wanted to be Transportation secretary. Sea could dole out checks,

807
00:40:25,200 --> 00:40:28,760
Speaker 1: fly around the country, take pictures with mayors, take pictures

808
00:40:28,800 --> 00:40:33,640
Speaker 1: with governors, do the ribbon cutting ceremonies. He actually acknowledges

809
00:40:33,760 --> 00:40:37,320
Speaker 1: in this piece that that is precisely what he wants

810
00:40:37,360 --> 00:40:41,200
Speaker 1: to do. It's astonishing, he says. Boodhaj just says what

811
00:40:41,280 --> 00:40:43,239
Speaker 1: he'd rather be doing his trips, like what he did

812
00:40:43,239 --> 00:40:46,720
Speaker 1: on Monday, opening the first new airport terminal in Kansas

813
00:40:46,760 --> 00:40:49,360
Speaker 1: City since Vice President's Bureau Agnew was there for a

814
00:40:49,440 --> 00:40:52,520
Speaker 1: ribbon cutting. Buddhaja derived Lake Curcei being stuck on his

815
00:40:52,600 --> 00:40:56,799
Speaker 1: own delayed Southwest Airlines flight lol, celebrating the groundbreaking on

816
00:40:56,840 --> 00:40:59,680
Speaker 1: a record busting four billion dollar electric vehicle battery plant,

817
00:40:59,719 --> 00:41:02,279
Speaker 1: and just odo of Kansas and talking transportation programs with

818
00:41:02,320 --> 00:41:06,600
Speaker 1: students at the University of Missouri. So openly admits here

819
00:41:07,680 --> 00:41:09,319
Speaker 1: that is the sort of thing that he would rather

820
00:41:09,400 --> 00:41:14,080
Speaker 1: be doing as opposed to holding corrupt industries like the

821
00:41:14,120 --> 00:41:17,840
Speaker 1: airline industry and like the rail industry to account. He

822
00:41:17,880 --> 00:41:21,480
Speaker 1: does acknowledge he should have gone to East Palestine, Ohio earlier.

823
00:41:21,920 --> 00:41:25,040
Speaker 1: He said he failed to anticipate the political fallout from

824
00:41:25,080 --> 00:41:28,080
Speaker 1: the toxic train derailment. Despite months of transportation problems like

825
00:41:28,120 --> 00:41:30,759
Speaker 1: mass flight cancelations and air traffic control system shutdown that

826
00:41:30,800 --> 00:41:33,720
Speaker 1: left many Americans frustrated. But he also punched back at critics,

827
00:41:33,840 --> 00:41:35,440
Speaker 1: arguing that many of the problems he's being blamed for

828
00:41:35,480 --> 00:41:38,439
Speaker 1: are only partially connected to his portfolio and mostly out

829
00:41:38,480 --> 00:41:41,360
Speaker 1: of his direct control. So, once again, Sagur, it's not

830
00:41:41,480 --> 00:41:45,480
Speaker 1: his fault. He's powerless. He can't really do anything. This

831
00:41:45,560 --> 00:41:48,960
Speaker 1: is in his portfolio, and he only cares that he

832
00:41:48,960 --> 00:41:51,880
Speaker 1: didn't go to East Palestine, Ohio earlier because it became

833
00:41:51,960 --> 00:41:54,880
Speaker 1: a political problem for him. That's pretty obvious from his commons.

834
00:41:54,920 --> 00:41:57,719
Speaker 1: We just had another near miss on the tarmac. The

835
00:41:57,840 --> 00:42:00,759
Speaker 1: FAA is in a complete disaster. You know, I think

836
00:42:00,800 --> 00:42:03,399
Speaker 1: we'll probably cover it tomorrow. There's a major conference being

837
00:42:03,440 --> 00:42:05,920
Speaker 1: called about these terrible safety events, and with the shutdown,

838
00:42:05,920 --> 00:42:08,600
Speaker 1: the FAA is in bigger shambles, and it's been in

839
00:42:08,640 --> 00:42:11,239
Speaker 1: a long decades actually, according to the pilots and the

840
00:42:11,320 --> 00:42:13,520
Speaker 1: regulators themselves. What are you doing? You know, you can

841
00:42:13,560 --> 00:42:16,360
Speaker 1: claim all day that you didn't have responsibility, but you

842
00:42:16,400 --> 00:42:18,919
Speaker 1: do now. You were the Secretary of Transportation. And really,

843
00:42:18,920 --> 00:42:20,400
Speaker 1: when he says that, he's saying, I don't want to

844
00:42:20,440 --> 00:42:22,880
Speaker 1: do my job. I don't want to get intimately involved.

845
00:42:22,880 --> 00:42:24,880
Speaker 1: You know, people who are in positions of power like this,

846
00:42:25,160 --> 00:42:28,480
Speaker 1: they wrangle the troops, they cut through the red red tape,

847
00:42:28,600 --> 00:42:31,440
Speaker 1: and they try and deliver. And I also found it

848
00:42:31,480 --> 00:42:34,040
Speaker 1: was extraordinary, as you said at the top of it,

849
00:42:34,160 --> 00:42:37,319
Speaker 1: just knowing what he really admits is yeah, I didn't

850
00:42:37,360 --> 00:42:39,200
Speaker 1: expect that I would have to work this hard. That's right.

851
00:42:39,239 --> 00:42:42,719
Speaker 1: I think he's absolutely fundamentally lazy, having come from the

852
00:42:42,760 --> 00:42:45,239
Speaker 1: corporate world and being a small town mayor of where

853
00:42:45,280 --> 00:42:47,200
Speaker 1: it's you know, plot twist actually didn't do that good

854
00:42:47,200 --> 00:42:49,960
Speaker 1: of a job. We covered some of the transportation and

855
00:42:50,000 --> 00:42:52,240
Speaker 1: infrastructure failings that he had while he was the mayor

856
00:42:52,480 --> 00:42:55,440
Speaker 1: of South Bend. He was completely unqualified and worse, now

857
00:42:55,480 --> 00:42:58,040
Speaker 1: that he's in this position, he is using his allies

858
00:42:58,040 --> 00:43:00,640
Speaker 1: in the media to do little puff pieces like this,

859
00:43:00,680 --> 00:43:03,920
Speaker 1: where even this like moderately strong piece. You know. The

860
00:43:03,960 --> 00:43:05,719
Speaker 1: other thing that drove me crazy is he tried to

861
00:43:05,760 --> 00:43:09,360
Speaker 1: conflate criticism him with people online who were criticizing the

862
00:43:09,400 --> 00:43:11,919
Speaker 1: boots that he was wearing. Maybe there was I didn't

863
00:43:11,920 --> 00:43:13,440
Speaker 1: see it. I didn't even know. I didn't see much

864
00:43:13,480 --> 00:43:15,799
Speaker 1: of that commentary. What I did see or people saying, hey,

865
00:43:16,000 --> 00:43:18,799
Speaker 1: you know, it's bs that you didn't come here for

866
00:43:18,920 --> 00:43:21,479
Speaker 1: days and that you're not taking responsibility. He says, quote,

867
00:43:21,520 --> 00:43:23,840
Speaker 1: it's bullshit that it's the idea that he went there

868
00:43:23,960 --> 00:43:27,000
Speaker 1: because Trump had already gone there. It was apparently already

869
00:43:27,040 --> 00:43:28,759
Speaker 1: on the books. I don't know if I believe that.

870
00:43:29,000 --> 00:43:30,719
Speaker 1: I'm not sure I believe that at all. I think

871
00:43:30,760 --> 00:43:32,200
Speaker 1: Biden probably called him said you need to get your

872
00:43:32,200 --> 00:43:34,440
Speaker 1: asked East Palatine right, listen. I don't know if it

873
00:43:34,480 --> 00:43:36,960
Speaker 1: was specifically because of the Trump visit, but it was

874
00:43:37,000 --> 00:43:40,200
Speaker 1: one hundred percent because of the political pressure and the

875
00:43:40,200 --> 00:43:43,160
Speaker 1: fact that this became very hot. And yes, the right

876
00:43:43,280 --> 00:43:45,520
Speaker 1: picked up on this and you know, wanted to use

877
00:43:45,560 --> 00:43:47,680
Speaker 1: it as a cudgel, no doubt about it. Although I

878
00:43:47,719 --> 00:43:49,400
Speaker 1: want to give a lot of credit to the Republican

879
00:43:49,440 --> 00:43:52,000
Speaker 1: senators who have signed on to a bipartisan bill that

880
00:43:52,040 --> 00:43:55,359
Speaker 1: would actually do something real about real safety. We'll see

881
00:43:55,360 --> 00:43:57,080
Speaker 1: if that goes anywhere in the Republican House or as in,

882
00:43:57,080 --> 00:43:58,880
Speaker 1: Biden just endorsed it, So that's a big deals Bright

883
00:43:58,920 --> 00:44:01,400
Speaker 1: and endorsed it. That is all. That is all genuinely

884
00:44:01,440 --> 00:44:03,960
Speaker 1: positive to see that kind of progress. But yeah, the

885
00:44:04,080 --> 00:44:06,200
Speaker 1: right picked up on this, but it wasn't only the right,

886
00:44:06,480 --> 00:44:08,480
Speaker 1: I can promise you it was not only the right.

887
00:44:08,640 --> 00:44:11,440
Speaker 1: Blendy people on the left and even a few members

888
00:44:11,440 --> 00:44:14,680
Speaker 1: of his elected members of his own party were critical

889
00:44:14,800 --> 00:44:17,759
Speaker 1: of this response as well. And his takeaway from this

890
00:44:17,840 --> 00:44:21,240
Speaker 1: piece too. What he lays out is he doesn't feel

891
00:44:21,280 --> 00:44:26,319
Speaker 1: that the actual actions that he took with regard to

892
00:44:26,360 --> 00:44:29,040
Speaker 1: his job, he doesn't feel like that's where he messed up.

893
00:44:29,200 --> 00:44:31,400
Speaker 1: He feels like he messed up on the optics. Why

894
00:44:31,440 --> 00:44:33,360
Speaker 1: does he feel that way, because optics are all this

895
00:44:33,480 --> 00:44:37,239
Speaker 1: man really genuinely cares about. That's a good point, and

896
00:44:37,440 --> 00:44:40,680
Speaker 1: it's not the optics. I mean him going to East Palestine.

897
00:44:40,760 --> 00:44:43,200
Speaker 1: It does matter when you have government officials show up

898
00:44:43,239 --> 00:44:45,399
Speaker 1: and make it clear that we are focused on this.

899
00:44:45,400 --> 00:44:47,200
Speaker 1: This is a priority. We care, we see you, we

900
00:44:47,320 --> 00:44:49,600
Speaker 1: understand the pain. He even says himself. Being there, seeing

901
00:44:49,680 --> 00:44:52,000
Speaker 1: the twisted metal and spelling the chemicals in the air,

902
00:44:52,440 --> 00:44:57,160
Speaker 1: it is much different than reading some report, some sort

903
00:44:57,200 --> 00:45:00,640
Speaker 1: of like you know, arms length distance reports, sanitized about

904
00:45:00,640 --> 00:45:02,879
Speaker 1: what's going on in the ground. So it matters being there,

905
00:45:02,880 --> 00:45:05,160
Speaker 1: But what matters a hell of a lot more is

906
00:45:05,520 --> 00:45:07,239
Speaker 1: what you did up to this point and what you're

907
00:45:07,239 --> 00:45:09,200
Speaker 1: going to do moving forward from this point. And he

908
00:45:09,280 --> 00:45:11,799
Speaker 1: continues in this piece to just pretend like, Huh, this

909
00:45:11,840 --> 00:45:13,720
Speaker 1: isn't really my fault and I really can't do anything

910
00:45:13,719 --> 00:45:18,440
Speaker 1: about it. Yeah, he's crazy, congenitally is unable to take responsibility. Correct,

911
00:45:18,640 --> 00:45:21,960
Speaker 1: one hundred percent correct. At the same time, still a

912
00:45:22,080 --> 00:45:25,480
Speaker 1: lot of questions about what is in the air, what

913
00:45:25,560 --> 00:45:28,920
Speaker 1: is in the water, is it actually safe in this town?

914
00:45:29,080 --> 00:45:32,759
Speaker 1: And are there going to be long term health impacts

915
00:45:33,000 --> 00:45:37,360
Speaker 1: from this quote unquote controlled release of toxic, cancerous chemicals.

916
00:45:37,440 --> 00:45:39,399
Speaker 1: Let's put this up on the screen. From the Washington Post,

917
00:45:39,880 --> 00:45:44,840
Speaker 1: the EPA has now what a month later, ordered testing

918
00:45:44,920 --> 00:45:49,480
Speaker 1: for highly toxic dioxians at the Ohio derailment site. The

919
00:45:49,520 --> 00:45:52,240
Speaker 1: agency ordered rail company Norfolk Southern to test the Ohio

920
00:45:52,280 --> 00:45:55,600
Speaker 1: Derailment area for dioxists. Is a dangerous and persistent class

921
00:45:55,600 --> 00:45:57,640
Speaker 1: of pollutants. I don't know why the hell they're asking

922
00:45:57,680 --> 00:45:59,600
Speaker 1: Norfolk Southern to do it too. By the way, just

923
00:45:59,680 --> 00:46:02,520
Speaker 1: go do it yourself, my god, Like, why are we

924
00:46:02,600 --> 00:46:05,680
Speaker 1: trusting the polluters to be the ones that are handling

925
00:46:05,800 --> 00:46:09,399
Speaker 1: these critical tests? Do you really think that residents are

926
00:46:09,400 --> 00:46:12,319
Speaker 1: going to feel confident in tests that were paid for

927
00:46:12,719 --> 00:46:16,160
Speaker 1: and managed by Norfolk Southern, the very people that cause

928
00:46:16,200 --> 00:46:20,320
Speaker 1: this catastrophe. Putting that aside, they say here, after weeks

929
00:46:20,320 --> 00:46:23,839
Speaker 1: of questions about contamination associated with this Traine derailment, they

930
00:46:23,960 --> 00:46:27,040
Speaker 1: ordered rail company in Norfit Southern to tests area for dixins.

931
00:46:27,080 --> 00:46:30,239
Speaker 1: That's a dangerous classic plutance that is created when plastic

932
00:46:30,400 --> 00:46:32,839
Speaker 1: is burned. The train, of course that crash was carrying

933
00:46:32,880 --> 00:46:35,719
Speaker 1: chemicals that were used to make plastics. They go on

934
00:46:35,760 --> 00:46:38,279
Speaker 1: to say, a course of academics, environmentals and residents have

935
00:46:38,360 --> 00:46:43,319
Speaker 1: been raising alarm about potential dioxide contamination because days after

936
00:46:43,360 --> 00:46:47,360
Speaker 1: the derailment, authorities who were seeking to avoid explosion, purposely

937
00:46:47,400 --> 00:46:50,239
Speaker 1: released and burned chemical vinyl chlorid that is a key

938
00:46:50,320 --> 00:46:53,520
Speaker 1: component of PVC plastics. EPA officials say it's a low

939
00:46:53,560 --> 00:46:56,840
Speaker 1: probability of dioxid and contamination, but they want to go

940
00:46:56,880 --> 00:46:59,920
Speaker 1: ahead and test to make sure, just so you can

941
00:47:00,239 --> 00:47:02,239
Speaker 1: know a little bit more about what dioxins are, because

942
00:47:02,239 --> 00:47:04,399
Speaker 1: this wasn't something that I think was broadly known before

943
00:47:04,400 --> 00:47:07,120
Speaker 1: this situation. They're produced when you burn anything from wooden

944
00:47:07,160 --> 00:47:10,960
Speaker 1: fossil fuels to municipal waste and cigarettes, combustion releases chlorine

945
00:47:11,040 --> 00:47:13,920
Speaker 1: stored in those substances. It reacts with other compounds to

946
00:47:13,960 --> 00:47:17,280
Speaker 1: form dioxins. The plutans are a particular concerned when plastic

947
00:47:17,360 --> 00:47:20,440
Speaker 1: is burned because chlorine is a key element of plastics.

948
00:47:20,640 --> 00:47:23,880
Speaker 1: They are linked to cancer, reproductive and developmental problems, and

949
00:47:23,960 --> 00:47:27,160
Speaker 1: immune system damage. They're particularly troublesome because they are slow

950
00:47:27,200 --> 00:47:29,000
Speaker 1: to break down in the environment. They build up in

951
00:47:29,000 --> 00:47:31,600
Speaker 1: the food chain, and that EPA said that most human

952
00:47:31,640 --> 00:47:34,120
Speaker 1: exposure dioxins in the US is tied to releases that

953
00:47:34,320 --> 00:47:37,840
Speaker 1: occurred decades ago. They didn't respond to questions about why

954
00:47:37,880 --> 00:47:40,439
Speaker 1: it was Norfolk Southern who was tasked with conducting these tests.

955
00:47:40,440 --> 00:47:41,919
Speaker 1: Why are they the ones who are conducting the test,

956
00:47:41,920 --> 00:47:43,959
Speaker 1: Why do the APA wait so long to conduct this test?

957
00:47:44,000 --> 00:47:45,839
Speaker 1: And at one point we got to wonder, are they

958
00:47:45,840 --> 00:47:48,000
Speaker 1: waiting for stuff to dissipate? Like how does that work?

959
00:47:48,200 --> 00:47:49,920
Speaker 1: Why do they wait a month in order to order

960
00:47:49,960 --> 00:47:52,239
Speaker 1: this They should have ordered it within the first week.

961
00:47:52,320 --> 00:47:53,880
Speaker 1: So still a lot of question and who knows, you know,

962
00:47:53,920 --> 00:47:56,120
Speaker 1: what if that test does pop positive, and if North

963
00:47:56,640 --> 00:47:58,719
Speaker 1: Southern is even going to give you proper data, you

964
00:47:58,760 --> 00:48:02,239
Speaker 1: know you can't trustworthy custodian of data. And has a

965
00:48:02,280 --> 00:48:05,760
Speaker 1: direct financial interest in terms of fines and in future

966
00:48:05,840 --> 00:48:09,160
Speaker 1: regulatory authority to hold them accountable for making sure that

967
00:48:09,200 --> 00:48:11,080
Speaker 1: they don't have to pay as much as possible. This

968
00:48:11,200 --> 00:48:14,480
Speaker 1: is total craziness. I don't understand why they waited so long.

969
00:48:14,520 --> 00:48:16,799
Speaker 1: I don't understand why you would use Norfolk. Well, I

970
00:48:16,840 --> 00:48:19,240
Speaker 1: do understand. It's because they want this all to go away.

971
00:48:19,360 --> 00:48:22,839
Speaker 1: That's the reason. Okay, let's not be clulas there. Yeah,

972
00:48:22,880 --> 00:48:25,520
Speaker 1: they wanted to go away, so they put it off

973
00:48:25,560 --> 00:48:27,359
Speaker 1: as long as they could. But there have been too

974
00:48:27,400 --> 00:48:29,799
Speaker 1: many people, and not just like ran people like us

975
00:48:29,840 --> 00:48:33,239
Speaker 1: who don't know anything about chemicals on TV talking about it.

976
00:48:33,560 --> 00:48:35,759
Speaker 1: Actual researchers who deal with this stuff are saying, hey,

977
00:48:35,760 --> 00:48:37,520
Speaker 1: you got to check this out and make sure. Maybe

978
00:48:37,520 --> 00:48:39,560
Speaker 1: you think there's a low probability, but you have to

979
00:48:39,600 --> 00:48:43,800
Speaker 1: make sure because we're talking about serious long term issues

980
00:48:43,800 --> 00:48:45,680
Speaker 1: for the residents of this town who need to know

981
00:48:45,800 --> 00:48:48,239
Speaker 1: whether it is safe for them to continue to live

982
00:48:48,280 --> 00:48:50,880
Speaker 1: there or not. And of course, you know, if this

983
00:48:51,040 --> 00:48:54,760
Speaker 1: is declared a public health emergency, if it's declared basically

984
00:48:54,800 --> 00:48:57,000
Speaker 1: you know this town is now toxic to live in.

985
00:48:57,440 --> 00:49:00,000
Speaker 1: That's obviously going to have major implications for the government

986
00:49:00,480 --> 00:49:03,359
Speaker 1: for Norfolk Southern and so that's why they have tried

987
00:49:03,400 --> 00:49:05,120
Speaker 1: to jamp down on all of this. But we are

988
00:49:05,120 --> 00:49:07,879
Speaker 1: certainly going to keep our eye on it absolutely, all right, guys.

989
00:49:07,920 --> 00:49:10,720
Speaker 1: So we officially have one Democrat in the race. Remember

990
00:49:10,840 --> 00:49:13,720
Speaker 1: Joe Bidens. It hasn't officially announced yet, alto most people

991
00:49:13,719 --> 00:49:16,680
Speaker 1: think that he's going to run, but best selling author

992
00:49:16,719 --> 00:49:19,240
Speaker 1: Mary and Williamson, who ran last time around as well,

993
00:49:19,440 --> 00:49:22,400
Speaker 1: she announced she is officially running for president, seeking the

994
00:49:22,440 --> 00:49:26,160
Speaker 1: Democratic nomination. In a speech at Union Station over the weekend.

995
00:49:26,239 --> 00:49:27,520
Speaker 1: Let's take a listener to a little bit of that.

996
00:49:27,760 --> 00:49:30,640
Speaker 1: This system is intrinsically corrupt. We can see it in

997
00:49:30,680 --> 00:49:33,120
Speaker 1: the broken windows. We can see it in the shadowed

998
00:49:33,480 --> 00:49:36,720
Speaker 1: shadow factories. We can see it in the addiction addle

999
00:49:36,800 --> 00:49:39,440
Speaker 1: brokenness of our fellow citizens. We can see it in

1000
00:49:39,480 --> 00:49:41,680
Speaker 1: the despair. We can see it in the addiction. We

1001
00:49:41,719 --> 00:49:43,520
Speaker 1: can see it in the anxiety. We can see it

1002
00:49:43,560 --> 00:49:46,759
Speaker 1: in the depression. And people in this town, if they

1003
00:49:46,960 --> 00:49:50,960
Speaker 1: will not care enough to fit to solve the problems

1004
00:49:50,960 --> 00:49:54,600
Speaker 1: that produces all that despair, half the people in this

1005
00:49:54,719 --> 00:49:57,600
Speaker 1: city don't even notice it. They are so buffered from

1006
00:49:57,600 --> 00:50:00,319
Speaker 1: the ravagers of human suffering. They don't even mis the

1007
00:50:00,320 --> 00:50:02,879
Speaker 1: word poor. They don't even mention the word poverty, much

1008
00:50:02,960 --> 00:50:06,200
Speaker 1: less address its deeper causes. So some people in this

1009
00:50:06,320 --> 00:50:08,960
Speaker 1: city just don't even seem to care. Some people in

1010
00:50:08,960 --> 00:50:12,680
Speaker 1: this city, with some very brave exceptions, apparently don't have

1011
00:50:12,760 --> 00:50:15,760
Speaker 1: the spine or the moral courage to fix it. Ladies

1012
00:50:15,800 --> 00:50:22,839
Speaker 1: and gentlemen, let me in there. I will so democrats,

1013
00:50:23,200 --> 00:50:26,160
Speaker 1: fresh off the heels of lots of grandiose rhetoric about

1014
00:50:26,160 --> 00:50:29,759
Speaker 1: how much they care about democracy, how committed they are

1015
00:50:29,800 --> 00:50:32,480
Speaker 1: to the people having a voice, how's that going? How

1016
00:50:32,480 --> 00:50:36,160
Speaker 1: are they responding to this? Obviously with complete contempt and dismissal.

1017
00:50:36,360 --> 00:50:38,239
Speaker 1: Let's go and put this up on the screen from

1018
00:50:38,239 --> 00:50:41,799
Speaker 1: the hill. The headline here is Democrats brush off Mary

1019
00:50:41,840 --> 00:50:44,759
Speaker 1: and Williamson's twenty twenty four primary challenge. And there are

1020
00:50:44,840 --> 00:50:48,520
Speaker 1: some incredibly smug and condescending quotes here. Matt Bennett, co

1021
00:50:48,600 --> 00:50:52,000
Speaker 1: founder of the centrist think tank Third Way, he said,

1022
00:50:52,080 --> 00:50:55,440
Speaker 1: I hope and expect they will completely ignore it. She

1023
00:50:55,600 --> 00:50:58,640
Speaker 1: is not a credible candidate in any respect. She certainly

1024
00:50:58,719 --> 00:51:01,279
Speaker 1: isn't going to be challenging to win the nomination. If

1025
00:51:01,280 --> 00:51:03,480
Speaker 1: that's the only primary challenge he faces, Joe Biden can

1026
00:51:03,560 --> 00:51:06,520
Speaker 1: rest very easy until the general election, an aid to

1027
00:51:06,760 --> 00:51:10,400
Speaker 1: Congressman Don Bayer said on Twitter high AP in response

1028
00:51:10,440 --> 00:51:13,080
Speaker 1: to an AP article calling her a major Democrat. Marian

1029
00:51:13,120 --> 00:51:15,799
Speaker 1: Williamson is not a major Democrat. Thank you for your

1030
00:51:15,880 --> 00:51:19,319
Speaker 1: attention in this matter, and listen, whatever you think of

1031
00:51:19,400 --> 00:51:22,120
Speaker 1: Marian and her chances here. Number one, again, she is

1032
00:51:22,160 --> 00:51:25,160
Speaker 1: actually unopposed at this moment. She's the only Democrat who

1033
00:51:25,200 --> 00:51:26,960
Speaker 1: is in the race. Number two, It's up to the

1034
00:51:27,040 --> 00:51:31,440
Speaker 1: voters to decide. Democrats have already effectively rianked the primary

1035
00:51:31,480 --> 00:51:33,879
Speaker 1: for Joe Biden by putting South Carolina first. They're saying

1036
00:51:33,920 --> 00:51:36,520
Speaker 1: they don't even want to do any debates, so all

1037
00:51:36,600 --> 00:51:39,480
Speaker 1: of their rhetoric about how much they care about democracy

1038
00:51:39,480 --> 00:51:42,359
Speaker 1: and they're obviously total hypocrites when it comes to them

1039
00:51:42,400 --> 00:51:45,480
Speaker 1: maintaining their own grip on power. And I would also say,

1040
00:51:46,120 --> 00:51:48,640
Speaker 1: your guy here is going to be closer to ninety

1041
00:51:48,640 --> 00:51:50,399
Speaker 1: than he is to eighty by the end of his term.

1042
00:51:50,560 --> 00:51:53,680
Speaker 1: Give a majority of Democrats and an overwhelming majority of

1043
00:51:53,719 --> 00:51:57,360
Speaker 1: the country who are like, please don't run, so save

1044
00:51:57,520 --> 00:52:02,319
Speaker 1: me your like smug and ary about how solid he

1045
00:52:02,400 --> 00:52:05,360
Speaker 1: is in terms of his standing visa VI the American people,

1046
00:52:05,640 --> 00:52:08,000
Speaker 1: not just that. I mean, look, Mary Anne was able

1047
00:52:08,040 --> 00:52:10,760
Speaker 1: to get to the debate stage as a Democratic candidate

1048
00:52:10,880 --> 00:52:14,120
Speaker 1: at a time when senators like Corey Booker and many

1049
00:52:14,160 --> 00:52:16,319
Speaker 1: others were not able to. This is a person who

1050
00:52:16,760 --> 00:52:19,400
Speaker 1: was able to raise the requisite number of funds and

1051
00:52:19,440 --> 00:52:22,279
Speaker 1: to actually hit the requisite two percent in polling to

1052
00:52:22,320 --> 00:52:24,960
Speaker 1: get there. Trump, I mean, right now, Biden is actually

1053
00:52:24,960 --> 00:52:27,759
Speaker 1: acting weaker than Trump. Trump is actually willing to have

1054
00:52:28,040 --> 00:52:31,120
Speaker 1: these Republican candidate debates. We have GOP primary debates which

1055
00:52:31,120 --> 00:52:34,520
Speaker 1: are already being negotiated with the major cable news networks,

1056
00:52:34,640 --> 00:52:37,280
Speaker 1: where we would anticipate in Nikki Haley, I aveak Ramaswami

1057
00:52:37,360 --> 00:52:39,200
Speaker 1: or any of these people if they do qualify to

1058
00:52:39,239 --> 00:52:41,200
Speaker 1: head up against him. So why don't you put yourself

1059
00:52:41,239 --> 00:52:44,160
Speaker 1: up in the same way. Jimmy Carter actually famously won

1060
00:52:44,520 --> 00:52:47,160
Speaker 1: his challenge while he was president in the debate stage

1061
00:52:47,200 --> 00:52:50,680
Speaker 1: against Ted Kennedy. And you know, the Carter campaign says

1062
00:52:50,840 --> 00:52:52,799
Speaker 1: that he was worse off for it. I'm not so sure,

1063
00:52:52,880 --> 00:52:55,239
Speaker 1: because it actually got him in some fighting spirit when

1064
00:52:55,280 --> 00:52:57,239
Speaker 1: he was able to go up against Raigan, now obviously lost,

1065
00:52:57,360 --> 00:53:00,040
Speaker 1: Mick Carter didn't need any help losing. No lost, he

1066
00:53:00,080 --> 00:53:02,960
Speaker 1: lost it, right Onda. It's a good point, and I

1067
00:53:02,960 --> 00:53:05,440
Speaker 1: am just generally of the opinion. Do you remember the

1068
00:53:05,440 --> 00:53:08,600
Speaker 1: first debate between Obama and Mitt Romney where Obama lost?

1069
00:53:08,840 --> 00:53:11,520
Speaker 1: He was terrible. And one of the reasons that came

1070
00:53:11,560 --> 00:53:13,719
Speaker 1: forward is Obama was in a bubble for four years.

1071
00:53:13,760 --> 00:53:16,799
Speaker 1: He had not debated anybody, whereas when he was the

1072
00:53:17,000 --> 00:53:21,360
Speaker 1: actual candidate into he had did like seventeen eighteen primary

1073
00:53:21,360 --> 00:53:24,240
Speaker 1: debates in two thousand and eight that made him sharp

1074
00:53:24,320 --> 00:53:27,240
Speaker 1: and ready to take on McCain. So even a challenge

1075
00:53:27,239 --> 00:53:30,560
Speaker 1: where you presume that the candidate is going to win anyways,

1076
00:53:30,760 --> 00:53:33,040
Speaker 1: it's actually very good for them by and large to

1077
00:53:33,040 --> 00:53:35,319
Speaker 1: actually go through some competitive process. This is what we

1078
00:53:35,320 --> 00:53:38,080
Speaker 1: were talking about earlier with Ron DeSantis, and he's doing

1079
00:53:38,120 --> 00:53:41,759
Speaker 1: himself a disservice by keeping himself away from any potentially

1080
00:53:41,800 --> 00:53:44,839
Speaker 1: adversarial media and being very careful and very cautious about

1081
00:53:44,840 --> 00:53:48,960
Speaker 1: the interviews that he takes on because you need practice. Ultimately,

1082
00:53:49,000 --> 00:53:51,960
Speaker 1: you really need practice in order to be able to

1083
00:53:52,280 --> 00:53:56,439
Speaker 1: effectively compete in an election. I mean, and Biden didn't

1084
00:53:56,440 --> 00:53:58,880
Speaker 1: really get any last time around because of COVID that

1085
00:53:59,000 --> 00:54:01,000
Speaker 1: essentially rescued him and he could kind of hide in

1086
00:54:01,000 --> 00:54:03,400
Speaker 1: the basement for most of the general election. He does

1087
00:54:03,840 --> 00:54:08,240
Speaker 1: very limited and very you know, cautious media appearances as well.

1088
00:54:08,600 --> 00:54:11,480
Speaker 1: So yeah, he could use that blade sharpened, no doubt

1089
00:54:11,520 --> 00:54:14,080
Speaker 1: about it. If that's even possible at this point. And

1090
00:54:14,120 --> 00:54:17,000
Speaker 1: if they were not, you know, if they really felt

1091
00:54:17,040 --> 00:54:21,040
Speaker 1: secure about their position Feza VI Joe Biden, then they

1092
00:54:21,080 --> 00:54:23,480
Speaker 1: wouldn't be worried about Mary and Williamson, you know, like

1093
00:54:23,520 --> 00:54:26,520
Speaker 1: I said, Look, she dropped down before the voted, you know,

1094
00:54:26,840 --> 00:54:29,440
Speaker 1: after Iowa last time around. Yeah, she made it to

1095
00:54:29,480 --> 00:54:31,799
Speaker 1: the debate stage, but she wasn't a huge factor. Like

1096
00:54:31,960 --> 00:54:34,160
Speaker 1: this is fine, We're not worried about it. The fact

1097
00:54:34,200 --> 00:54:37,920
Speaker 1: that you've had this incredibly fragile response to her, I

1098
00:54:37,920 --> 00:54:39,920
Speaker 1: think is really interesting. And they have a big problem

1099
00:54:39,960 --> 00:54:43,200
Speaker 1: on their hands in New Hampshire in particular, those people

1100
00:54:43,320 --> 00:54:48,720
Speaker 1: are pissed about the rewriting of the primary calendar because

1101
00:54:48,800 --> 00:54:52,360
Speaker 1: you have effectively stripped all of the sort of power

1102
00:54:52,440 --> 00:54:56,960
Speaker 1: and relevance of you know, that entire state and especially

1103
00:54:57,000 --> 00:54:59,800
Speaker 1: of the party faithful within the state of New Hampshire

1104
00:54:59,800 --> 00:55:01,919
Speaker 1: who you have openly come out, including a sitting member

1105
00:55:01,920 --> 00:55:04,960
Speaker 1: of Democratic Member of Congress and said we want primary

1106
00:55:05,000 --> 00:55:07,920
Speaker 1: challengers to Biden. We welcome primary challengers to Biden. We

1107
00:55:07,920 --> 00:55:10,040
Speaker 1: think he's going to have a problem in this state.

1108
00:55:10,800 --> 00:55:13,480
Speaker 1: Wasn't just these quotes in the Hill though, of course,

1109
00:55:13,600 --> 00:55:18,359
Speaker 1: MSNBC handling Marian in a very similar way. Let's take

1110
00:55:18,400 --> 00:55:21,120
Speaker 1: a listen to their coverage of her announcement. I don't

1111
00:55:21,120 --> 00:55:24,480
Speaker 1: consider Marion Williamson to be much of a threat. She's

1112
00:55:24,520 --> 00:55:27,040
Speaker 1: a spiritualizer and a twenty twenty all Storan who may

1113
00:55:27,080 --> 00:55:29,279
Speaker 1: not even make the debate stage. Let's be honest. I

1114
00:55:29,280 --> 00:55:31,320
Speaker 1: think in best way to handle her is not to

1115
00:55:31,360 --> 00:55:34,160
Speaker 1: address her at all, because I don't think many people

1116
00:55:34,200 --> 00:55:36,880
Speaker 1: consider her to be a major Democrat in ages is

1117
00:55:36,880 --> 00:55:40,120
Speaker 1: a concern for some for Biden. But she's seventy years old,

1118
00:55:40,520 --> 00:55:43,800
Speaker 1: so she doesn't exactly represent a new generation and leadership either.

1119
00:55:44,280 --> 00:55:46,680
Speaker 1: And she has no platform to speak of other than

1120
00:55:46,719 --> 00:55:51,359
Speaker 1: some nebulous Department of Peace, and so she's not a

1121
00:55:51,360 --> 00:55:54,520
Speaker 1: threat to Biden. Okay, Number one, you don't get to

1122
00:55:54,520 --> 00:55:56,840
Speaker 1: decide whether she's major Democrat. The idea is that people

1123
00:55:56,880 --> 00:55:59,200
Speaker 1: get to decide, and that you know, we'll have their verdict.

1124
00:55:59,320 --> 00:56:02,560
Speaker 1: Number two, the parth actually really pissed me. Off was

1125
00:56:02,600 --> 00:56:05,440
Speaker 1: her saying she doesn't have a platform, because that is

1126
00:56:05,560 --> 00:56:10,880
Speaker 1: just factually, that's just completely utterly false. She has a platform.

1127
00:56:11,000 --> 00:56:13,160
Speaker 1: Whether you like her platform or not, you can look

1128
00:56:13,160 --> 00:56:15,080
Speaker 1: at it, you can disagree with it, but she's been

1129
00:56:15,200 --> 00:56:17,600
Speaker 1: very clear and very specific about what she stands for. Well, also,

1130
00:56:17,640 --> 00:56:19,960
Speaker 1: seventy is a hell a lot different maybe two, okay,

1131
00:56:20,080 --> 00:56:23,480
Speaker 1: I mean like on a scale, but seventy is actually

1132
00:56:23,520 --> 00:56:26,920
Speaker 1: younger than every single other person all of democratic leadership. Well,

1133
00:56:26,960 --> 00:56:28,879
Speaker 1: and not to mention, not defending it, I'm just saying

1134
00:56:29,000 --> 00:56:34,600
Speaker 1: not to listen. Yeah, watch Marian's speech, no teleprompter, no notes,

1135
00:56:35,000 --> 00:56:39,200
Speaker 1: and it was electric. People in the room were clearly

1136
00:56:39,480 --> 00:56:42,799
Speaker 1: really loving it and really enthusiastic about it. They do

1137
00:56:42,840 --> 00:56:44,800
Speaker 1: not want so they've already said they aren't going to

1138
00:56:45,040 --> 00:56:46,799
Speaker 1: have a debate. We'll see if they're able to hold

1139
00:56:46,800 --> 00:56:48,719
Speaker 1: to that, if there's enough public pressure to force it.

1140
00:56:49,040 --> 00:56:52,840
Speaker 1: But they don't want that comparison because all elderly people

1141
00:56:52,880 --> 00:56:57,520
Speaker 1: are not the same. Right Trump, I can't stand the man.

1142
00:56:57,719 --> 00:56:59,759
Speaker 1: He's still clearly got it, and he's still got a

1143
00:56:59,800 --> 00:57:02,680
Speaker 1: lot of energy. A boggle's mind, given how unhealthy his

1144
00:57:02,719 --> 00:57:06,000
Speaker 1: lifestyle is, his weight, his age, all the rest. But

1145
00:57:06,400 --> 00:57:10,000
Speaker 1: you know, not everybody has created equal people obviously go

1146
00:57:10,080 --> 00:57:13,560
Speaker 1: through you know, life transitions and phases and sundowning at

1147
00:57:13,600 --> 00:57:16,120
Speaker 1: different points in time, and so I just will hold

1148
00:57:16,120 --> 00:57:20,000
Speaker 1: that out for you. Lastly, Marian had an interview with

1149
00:57:20,160 --> 00:57:23,160
Speaker 1: ABC News over the weekend where she got asked some

1150
00:57:23,280 --> 00:57:26,320
Speaker 1: questions about exactly these topics. Y'll take a listen how

1151
00:57:26,320 --> 00:57:29,200
Speaker 1: she responded, This is a democracy. This is not about

1152
00:57:29,240 --> 00:57:32,680
Speaker 1: what I think is wrong. Obviously, I believe the American

1153
00:57:32,720 --> 00:57:38,000
Speaker 1: people should be offered an agenda for genuine fundamental economic reform,

1154
00:57:38,240 --> 00:57:40,800
Speaker 1: and it should be the voters who decide. It should

1155
00:57:40,800 --> 00:57:43,560
Speaker 1: not be the DNC that decides. It should be the

1156
00:57:43,680 --> 00:57:46,360
Speaker 1: voters who decide. That is what a democracy is. Do

1157
00:57:46,400 --> 00:57:49,560
Speaker 1: you expect that Biden will debate you? He certainly should

1158
00:57:49,560 --> 00:57:52,479
Speaker 1: debate me. It's called democracy. And I'm running as well.

1159
00:57:52,920 --> 00:57:55,520
Speaker 1: And what about this notion of taking New Hampshire out

1160
00:57:56,320 --> 00:57:58,520
Speaker 1: out of its position as first you're going to New Hampshire.

1161
00:57:58,520 --> 00:58:00,840
Speaker 1: I can tell you that New hampshireots happy about that,

1162
00:58:01,120 --> 00:58:02,560
Speaker 1: the fact that so will you be competing in the

1163
00:58:02,560 --> 00:58:06,360
Speaker 1: Newmpshire primary? Though, this is the democracy, This is the

1164
00:58:06,360 --> 00:58:09,200
Speaker 1: thing the DNC should not be rigging this system. They

1165
00:58:09,240 --> 00:58:12,640
Speaker 1: don't even pretend anymore. They're not even covert about their

1166
00:58:13,800 --> 00:58:17,480
Speaker 1: they're swaying the primary season. They're very overt about it.

1167
00:58:17,640 --> 00:58:19,240
Speaker 1: They're going to get that's what's going on, is they're

1168
00:58:19,280 --> 00:58:23,040
Speaker 1: rigging the system for Biden. They even admit that. John, So,

1169
00:58:23,440 --> 00:58:26,120
Speaker 1: I mean, look, she's not wrong. I think a lot

1170
00:58:26,200 --> 00:58:28,840
Speaker 1: of it comes down to what she said, which is

1171
00:58:29,120 --> 00:58:31,200
Speaker 1: it's up to the voters to decide. And yeah, the

1172
00:58:31,240 --> 00:58:33,440
Speaker 1: New Hampshire point I think is very important. As you said,

1173
00:58:33,440 --> 00:58:35,640
Speaker 1: people are really pissed off in New Hampshire that they

1174
00:58:35,640 --> 00:58:38,400
Speaker 1: got dinged. At the same time, though, it can't help

1175
00:58:38,400 --> 00:58:41,120
Speaker 1: but just say like they have rigged the primary so well,

1176
00:58:41,160 --> 00:58:43,320
Speaker 1: and good for Biden. I just don't know if it's

1177
00:58:43,320 --> 00:58:47,040
Speaker 1: possible there. But listen, the reason they have gone to

1178
00:58:47,080 --> 00:58:49,200
Speaker 1: such extraordary links is because they can read the polls.

1179
00:58:49,480 --> 00:58:51,920
Speaker 1: They see that there is a majority of Democrats who were, like,

1180
00:58:52,000 --> 00:58:54,960
Speaker 1: we would really like some other options. Marian's the only

1181
00:58:55,040 --> 00:58:58,000
Speaker 1: option that has stepped up. So it's very likely to

1182
00:58:58,080 --> 00:59:01,800
Speaker 1: be a one on one race here. New Hampshire is

1183
00:59:01,920 --> 00:59:04,440
Speaker 1: kind of welcoming her in with open arms. It's not

1184
00:59:04,600 --> 00:59:06,960
Speaker 1: the first primary anymore, but it is an early state,

1185
00:59:07,080 --> 00:59:11,600
Speaker 1: and so they have to be worried about appearing vulnerable

1186
00:59:11,680 --> 00:59:13,880
Speaker 1: at the very least, even if they aren't worried about

1187
00:59:13,960 --> 00:59:16,200
Speaker 1: him ultimately winning the nomination. And again, he's not even

1188
00:59:16,240 --> 00:59:18,360
Speaker 1: in the race yet. So right, we'll see when he

1189
00:59:18,400 --> 00:59:20,880
Speaker 1: actually gets in. We'll see what happens. As Trump used

1190
00:59:20,880 --> 00:59:23,920
Speaker 1: to famously say, all right, let's move on. Russell brand

1191
00:59:23,960 --> 00:59:26,760
Speaker 1: he's here in the US, fresh off the Joe Rogan podcast,

1192
00:59:26,800 --> 00:59:30,800
Speaker 1: stops by the Bill Maher Studio. An extraordinary confrontation with

1193
00:59:30,920 --> 00:59:34,640
Speaker 1: John Hyloman, a famous game change of fame in a

1194
00:59:34,720 --> 00:59:39,160
Speaker 1: confrontation over whether cable news MSNBC is just as bad

1195
00:59:39,440 --> 00:59:43,240
Speaker 1: as Fox News. A very smug response from Hyloman, a

1196
00:59:43,240 --> 00:59:45,440
Speaker 1: lot of good points that Russell brings up. Let's take

1197
00:59:45,480 --> 00:59:47,640
Speaker 1: a lesson, John. I've not known you long, but I

1198
00:59:47,680 --> 00:59:49,840
Speaker 1: love you already. But I have to say that it's

1199
00:59:49,880 --> 00:59:52,479
Speaker 1: disingenuous to claim that the biases they're exhibited on Fox

1200
00:59:52,560 --> 00:59:55,280
Speaker 1: News are any different from the biases exhibited on MSNBC.

1201
00:59:55,440 --> 00:59:58,560
Speaker 1: It's difficult to suggest that these corporations operate as anything

1202
00:59:58,600 --> 01:00:01,400
Speaker 1: of than mouth pieces for the affiliate owners in Black

1203
01:00:01,480 --> 01:00:04,280
Speaker 1: Rock and Vanguard. I've been on that MSNBC, mate, it

1204
01:00:04,280 --> 01:00:07,920
Speaker 1: was propaganda's nut crackery. That's not a fad called Morning Joe.

1205
01:00:08,040 --> 01:00:10,280
Speaker 1: It was absurd the way they carried Morning Joe. Yes, yeah,

1206
01:00:10,440 --> 01:00:11,800
Speaker 1: I don't know what it was. It wasn't morning. There

1207
01:00:11,840 --> 01:00:13,480
Speaker 1: was no one called Joe. There's no one concentrate. They

1208
01:00:13,520 --> 01:00:16,520
Speaker 1: didn't understand the basic geners of jun journalism. No one

1209
01:00:16,720 --> 01:00:19,720
Speaker 1: was willing to stick up for genuine American heroes like Edwards. No,

1210
01:00:19,840 --> 01:00:22,000
Speaker 1: then no one was willing to talk about Julian Assange

1211
01:00:22,040 --> 01:00:24,320
Speaker 1: and what he suffered trying to bring real journalism to

1212
01:00:24,400 --> 01:00:26,400
Speaker 1: the American people. I'd like to hear a specific example,

1213
01:00:26,400 --> 01:00:29,000
Speaker 1: approved specific example of an MSNBC corseponding her anchor being

1214
01:00:29,040 --> 01:00:31,880
Speaker 1: on television saying something they knew was false, and we're saying,

1215
01:00:31,920 --> 01:00:34,040
Speaker 1: behind the scenes, two people, this is I'd love to

1216
01:00:34,040 --> 01:00:36,000
Speaker 1: go out. We know that, we know that the election

1217
01:00:36,080 --> 01:00:38,080
Speaker 1: wasn't stolen if it were safe, for example, but I

1218
01:00:38,120 --> 01:00:39,360
Speaker 1: will go but I will go out. I will go

1219
01:00:39,360 --> 01:00:41,800
Speaker 1: out on television and saying the opposite though about bias,

1220
01:00:41,800 --> 01:00:43,439
Speaker 1: it's a posible say because you don't actually know anything

1221
01:00:43,440 --> 01:00:44,880
Speaker 1: about any of these stories that you're talking about. You

1222
01:00:44,880 --> 01:00:47,160
Speaker 1: don't NMSBC one big fucking deal, my dad. It was

1223
01:00:47,160 --> 01:00:50,360
Speaker 1: more big fucking deal. You've been on MSNBC once. You

1224
01:00:50,400 --> 01:00:53,640
Speaker 1: know what I actually found insane about Howlman's response here

1225
01:00:53,760 --> 01:00:55,800
Speaker 1: is in actually even the way that we treat Hioman today,

1226
01:00:56,320 --> 01:00:58,720
Speaker 1: I don't know people know this. Horloman started a media company.

1227
01:00:58,760 --> 01:01:01,400
Speaker 1: It was called The Recount and it was a massive failure.

1228
01:01:01,600 --> 01:01:04,120
Speaker 1: Outside of a Twitter account where they literally clip what's

1229
01:01:04,160 --> 01:01:06,800
Speaker 1: going on, they raised like thirty million dollars. They tried

1230
01:01:06,840 --> 01:01:08,640
Speaker 1: to start their own show all of that, and it

1231
01:01:08,680 --> 01:01:11,920
Speaker 1: failed so precipitously that people barely even wrote about how

1232
01:01:12,040 --> 01:01:14,160
Speaker 1: much of a joke it all was. Russell Brand you

1233
01:01:14,200 --> 01:01:16,400
Speaker 1: can like him or not. He has a very successful

1234
01:01:16,440 --> 01:01:19,080
Speaker 1: show on Rumble. He has a very successful YouTube show.

1235
01:01:19,320 --> 01:01:21,000
Speaker 1: Many of the numbers that he gets he talked about

1236
01:01:21,040 --> 01:01:23,600
Speaker 1: this on Rogan are far more than anybody on cable

1237
01:01:23,640 --> 01:01:26,040
Speaker 1: and it's because he's willing to discuss and talk about

1238
01:01:26,120 --> 01:01:29,280
Speaker 1: issues of exactly where the cable news system fails. And

1239
01:01:29,320 --> 01:01:31,520
Speaker 1: you can also see the smugness in the way that

1240
01:01:31,640 --> 01:01:34,880
Speaker 1: Hyloman is confronted with the idea He's like, oh, well,

1241
01:01:34,920 --> 01:01:37,320
Speaker 1: we never went on and intentionally said something that we

1242
01:01:37,640 --> 01:01:40,280
Speaker 1: know not to be true. We have how many times

1243
01:01:40,280 --> 01:01:42,480
Speaker 1: we need to play the Russia Gate coverage from MSNBC.

1244
01:01:42,720 --> 01:01:45,120
Speaker 1: Shall we play once again the Donald Trump was a

1245
01:01:45,160 --> 01:01:48,640
Speaker 1: kgb asset from nineteen eighty seven clip. How many madout

1246
01:01:48,640 --> 01:01:51,200
Speaker 1: clips do you guys want about rushing attacks on energy?

1247
01:01:51,520 --> 01:01:56,080
Speaker 1: All bullshit, complete bullshit. They will never grapple with that.

1248
01:01:56,160 --> 01:01:58,320
Speaker 1: I almost wish that Russell hadn't brought up not just

1249
01:01:58,360 --> 01:02:01,280
Speaker 1: the Ivermectin thing, because that was more then it was MSNBC.

1250
01:02:01,640 --> 01:02:04,360
Speaker 1: Although Mattout did get in a little bit with the retweet.

1251
01:02:04,480 --> 01:02:06,160
Speaker 1: I think Russia Gators we have them dead to write,

1252
01:02:06,520 --> 01:02:09,840
Speaker 1: dead to right have the same spot. And I don't

1253
01:02:09,880 --> 01:02:13,800
Speaker 1: know whether the hosts at MSNBC really believed this stuff.

1254
01:02:13,840 --> 01:02:16,440
Speaker 1: I think it's possible that they did or deluded themselves

1255
01:02:16,480 --> 01:02:19,520
Speaker 1: into thinking that this was a real possibility. But it

1256
01:02:19,600 --> 01:02:22,960
Speaker 1: really doesn't matter whether they technically, like really believed it

1257
01:02:23,080 --> 01:02:25,720
Speaker 1: or not. They clearly were engaged in the same thing

1258
01:02:25,720 --> 01:02:27,840
Speaker 1: that Fox News was engaging with and stop the steal.

1259
01:02:28,280 --> 01:02:30,400
Speaker 1: They saw what their viewers wanted to hear, and so

1260
01:02:30,720 --> 01:02:34,240
Speaker 1: night after night after night they spun elaborate tales of

1261
01:02:34,600 --> 01:02:38,320
Speaker 1: Russian It was a Russian spy novel. Extraordinaire. Of course

1262
01:02:38,360 --> 01:02:40,240
Speaker 1: people wanted to watch it. It was action packed, it

1263
01:02:40,240 --> 01:02:44,040
Speaker 1: was unbelievable. Ye had cliffhangers all the rest. They knew

1264
01:02:44,080 --> 01:02:46,520
Speaker 1: what their audience wanted to hear. They cared about ratings,

1265
01:02:46,560 --> 01:02:49,240
Speaker 1: and that's the bottom line here. Look, could you quibble

1266
01:02:49,280 --> 01:02:51,080
Speaker 1: and say, I think the one thing that you could

1267
01:02:51,120 --> 01:02:53,680
Speaker 1: say is a little bit different about Fox News versus

1268
01:02:53,840 --> 01:02:57,280
Speaker 1: MSNBC is that Fox News was explicitly set up to

1269
01:02:57,360 --> 01:03:00,360
Speaker 1: be an organ of the Republican Party, effectively into boost

1270
01:03:00,360 --> 01:03:04,479
Speaker 1: Republican conservative candidates. Emma's NBC was just a a money play,

1271
01:03:04,880 --> 01:03:08,200
Speaker 1: just a business venture. They stumbled into liberalism and went

1272
01:03:08,200 --> 01:03:11,160
Speaker 1: from there. But the bottom line for both at this

1273
01:03:11,280 --> 01:03:14,040
Speaker 1: point is the bottom line. They need to make money,

1274
01:03:14,120 --> 01:03:16,280
Speaker 1: they need to justify their existence. They need to feed

1275
01:03:16,280 --> 01:03:20,000
Speaker 1: their audiences that they've cultivated and lied to exactly what

1276
01:03:20,040 --> 01:03:22,840
Speaker 1: they continue to want to hear, and so on that

1277
01:03:22,960 --> 01:03:26,440
Speaker 1: basic level, it's silly to quibble over which one is worse,

1278
01:03:26,720 --> 01:03:30,360
Speaker 1: but ultimately they're both cancerous, they're both infotainment, they're both

1279
01:03:30,440 --> 01:03:33,400
Speaker 1: terrible for the American people, and they will both willingly

1280
01:03:33,440 --> 01:03:36,440
Speaker 1: lie to their audiences when it serves their financial needs. Yeah,

1281
01:03:36,480 --> 01:03:38,720
Speaker 1: and I think it gets to exactly what we were

1282
01:03:38,720 --> 01:03:41,280
Speaker 1: talking about in the box news block where they have contempt.

1283
01:03:41,400 --> 01:03:44,320
Speaker 1: MSNBC just has as much contempt. They're willing to put

1284
01:03:44,400 --> 01:03:48,240
Speaker 1: outrageous lives on their primetime networks just because they knew

1285
01:03:48,240 --> 01:03:50,400
Speaker 1: that that's what their audience wanted to hear, deceive them

1286
01:03:50,440 --> 01:03:52,240
Speaker 1: all the way up until the day of the mall report,

1287
01:03:52,240 --> 01:03:54,480
Speaker 1: and then continued to spin well with the after the

1288
01:03:54,520 --> 01:03:59,600
Speaker 1: Malla report. That's maybe the most important point, because maybe

1289
01:03:59,640 --> 01:04:02,080
Speaker 1: you could persuade yourself like, oh, they really believed this stuff.

1290
01:04:02,360 --> 01:04:06,560
Speaker 1: No they didn't too. Okay, well, now we know that

1291
01:04:06,600 --> 01:04:09,200
Speaker 1: there was no there there did they go back and

1292
01:04:09,400 --> 01:04:11,640
Speaker 1: here's where we got it wrong. Here's how that's what

1293
01:04:11,680 --> 01:04:14,440
Speaker 1: you would do if you made an honest mistake and

1294
01:04:14,480 --> 01:04:18,880
Speaker 1: you had respect for your audience and like some self

1295
01:04:18,920 --> 01:04:24,200
Speaker 1: respect for your supposed credentials as a journalist or an analyst. No,

1296
01:04:24,440 --> 01:04:26,920
Speaker 1: they didn't do any of that. If you live in

1297
01:04:26,960 --> 01:04:30,240
Speaker 1: the MSNBC bubble, none of what they were spinning was

1298
01:04:30,280 --> 01:04:33,320
Speaker 1: ever disproven. It was all just oh Muller failed or

1299
01:04:33,320 --> 01:04:37,440
Speaker 1: whether they have all kinds of cope rationalizations for why

1300
01:04:37,560 --> 01:04:40,120
Speaker 1: it never actually the pe tape never actually came out

1301
01:04:40,520 --> 01:04:44,960
Speaker 1: and that shows a high level of contempt for their audience,

1302
01:04:45,080 --> 01:04:47,320
Speaker 1: same as was revealed in those Fox News text messages.

1303
01:04:48,080 --> 01:04:53,200
Speaker 1: Absolutely correct, Crystal, what are you taking a look at?

1304
01:04:53,360 --> 01:04:56,080
Speaker 1: Way back in twenty seventeen, before we had any idea

1305
01:04:56,160 --> 01:04:58,720
Speaker 1: that a pandemic would up end the world, killing millions

1306
01:04:58,760 --> 01:05:02,000
Speaker 1: and reordering both work and play, Jeff Bezos announced a

1307
01:05:02,040 --> 01:05:05,320
Speaker 1: little contest. Amazon, he said, was building a second headquarters,

1308
01:05:05,320 --> 01:05:08,520
Speaker 1: which he dubbed HQ two and classic sleek tech jargon.

1309
01:05:08,880 --> 01:05:11,520
Speaker 1: This wasn't to be just any old office park. HQ two,

1310
01:05:11,640 --> 01:05:14,840
Speaker 1: he said, would be a full equal to their Seattle headquarters,

1311
01:05:15,040 --> 01:05:18,760
Speaker 1: maybe even larger. The temptation proved irresistible to cities and

1312
01:05:18,800 --> 01:05:22,440
Speaker 1: states alike. After all, Bezos was dangling a promised fifty

1313
01:05:22,600 --> 01:05:26,400
Speaker 1: thousand jobs and billions of dollars in investment. Such a

1314
01:05:26,440 --> 01:05:29,320
Speaker 1: massive infusion. It could jolt a struggling city to life.

1315
01:05:29,440 --> 01:05:32,120
Speaker 1: It could surge a mid tier city into the world class,

1316
01:05:32,280 --> 01:05:34,760
Speaker 1: could help a superstar city push out even more of

1317
01:05:34,800 --> 01:05:37,400
Speaker 1: its working class residents in favor of the coveted, affluent,

1318
01:05:37,400 --> 01:05:40,400
Speaker 1: creative class that our politicians seemed to almost uniformly prefer.

1319
01:05:40,920 --> 01:05:44,240
Speaker 1: And so, in a nationwide contest, of public humiliation. Locations

1320
01:05:44,240 --> 01:05:47,160
Speaker 1: across the country competed to debase themselves in offering the

1321
01:05:47,240 --> 01:05:50,360
Speaker 1: largest grab bag of taxpayer funded goodies to a company

1322
01:05:50,360 --> 01:05:52,680
Speaker 1: that is already among the richest and most powerful in

1323
01:05:52,720 --> 01:05:55,360
Speaker 1: the entire world. It was kind of a municipal squid

1324
01:05:55,400 --> 01:05:58,280
Speaker 1: game where cities, desperate for the vitality that had been

1325
01:05:58,400 --> 01:06:01,200
Speaker 1: robbed them by free trade market fundams medalism, competed in

1326
01:06:01,240 --> 01:06:03,400
Speaker 1: a race to the bottom in order to delight the

1327
01:06:03,440 --> 01:06:07,040
Speaker 1: overlords at Amazon, the beneficiaries of that very free trade

1328
01:06:07,040 --> 01:06:11,040
Speaker 1: market fundamentalism. The whole situation was already a pathetic commentary

1329
01:06:11,080 --> 01:06:13,640
Speaker 1: on the corporate capture of our entire nation. Rather than

1330
01:06:13,640 --> 01:06:16,280
Speaker 1: corporations being shaped by government to serve the needs of

1331
01:06:16,320 --> 01:06:19,280
Speaker 1: the people, government was falling all over itself to bend

1332
01:06:19,280 --> 01:06:22,680
Speaker 1: to the rapacious desires of our largest corporations. According to

1333
01:06:22,760 --> 01:06:26,280
Speaker 1: tech Crunch, the city of Stonecrest, Georgia, offered to rename

1334
01:06:26,360 --> 01:06:30,720
Speaker 1: the town and make Jeff Bezos its permanent mayor should

1335
01:06:30,760 --> 01:06:32,960
Speaker 1: the company select it as the site for the new office.

1336
01:06:33,120 --> 01:06:37,800
Speaker 1: HQ two Birmingham, Alabama, plastered fake Amazon boxes across the

1337
01:06:37,840 --> 01:06:40,400
Speaker 1: city and created a marketing campaign called bring a to

1338
01:06:40,440 --> 01:06:44,120
Speaker 1: b to woo the quote Everything store. Albany, New York's

1339
01:06:44,120 --> 01:06:46,840
Speaker 1: take was apparently so pathos inducing that it was actually

1340
01:06:46,840 --> 01:06:50,280
Speaker 1: eviscerated and mocked by the onion. But the whole contest

1341
01:06:50,320 --> 01:06:53,280
Speaker 1: was a complete sham from the very beginning. After inducing

1342
01:06:53,320 --> 01:06:56,240
Speaker 1: all these cities to spend time and resources putting together

1343
01:06:56,280 --> 01:07:00,080
Speaker 1: these humiliating gimmicks and billions in tax incentives and bend

1344
01:07:00,200 --> 01:07:03,120
Speaker 1: the knee to their lord and savior, Jeff Bezos, Amazon

1345
01:07:03,160 --> 01:07:06,120
Speaker 1: didn't pick one city but two, New York City and

1346
01:07:06,200 --> 01:07:09,400
Speaker 1: Northern Virginia, and they happened to be the two cities

1347
01:07:09,400 --> 01:07:12,720
Speaker 1: where Bezos already had second homes and which were already

1348
01:07:12,720 --> 01:07:15,960
Speaker 1: major hubs of tech, media and government power, revealing that

1349
01:07:16,000 --> 01:07:19,600
Speaker 1: the whole thing was always a farce and the results preordained.

1350
01:07:19,840 --> 01:07:23,120
Speaker 1: While these two cities did offer grotesquely large tax incentives,

1351
01:07:23,200 --> 01:07:25,680
Speaker 1: they actually paled in comparison to the giveaways that were

1352
01:07:25,720 --> 01:07:28,520
Speaker 1: offered by a lot of other locales. In the end,

1353
01:07:28,920 --> 01:07:32,480
Speaker 1: every single participant was completely played, including the media that

1354
01:07:32,520 --> 01:07:35,680
Speaker 1: of course eagerly did Amazon's pr work for them. It

1355
01:07:35,800 --> 01:07:38,640
Speaker 1: wasn't a contest, It was a scam designed to extract

1356
01:07:38,640 --> 01:07:42,120
Speaker 1: the largest possible goodie package from the places which Amazon

1357
01:07:42,360 --> 01:07:45,040
Speaker 1: was always going to go to all along. Now, the

1358
01:07:45,040 --> 01:07:48,040
Speaker 1: New York City locale and queens was immediately controversial. When

1359
01:07:48,040 --> 01:07:51,080
Speaker 1: residents and progressive politicians found out just how much then

1360
01:07:51,120 --> 01:07:54,080
Speaker 1: Governor Cuomo had promised to Amazon and tax incentives, they

1361
01:07:54,080 --> 01:07:57,560
Speaker 1: were apoplectic. After all, New York had reportedly given about

1362
01:07:57,560 --> 01:08:00,880
Speaker 1: a billion dollars more in incentives than in Virginia. Had

1363
01:08:01,160 --> 01:08:03,439
Speaker 1: also that they could price out longtime residents and further

1364
01:08:03,520 --> 01:08:07,200
Speaker 1: strain in already crumbling infrastructure system. After a local uproar,

1365
01:08:07,240 --> 01:08:09,800
Speaker 1: Amazon backed out, but there was a lot of exuberants

1366
01:08:09,800 --> 01:08:12,720
Speaker 1: in northern Virginia where local leaders and developers, construction companies,

1367
01:08:12,720 --> 01:08:14,960
Speaker 1: they all started planning for this big new influx of

1368
01:08:14,960 --> 01:08:17,360
Speaker 1: office workers ready to shop and dine and to live,

1369
01:08:18,000 --> 01:08:20,360
Speaker 1: which brings us to the final cruel twist in this

1370
01:08:20,439 --> 01:08:25,440
Speaker 1: sordid tail, Bloomberg got the scoop here. Amazon pauses construction

1371
01:08:25,760 --> 01:08:29,680
Speaker 1: on second headquarters in Virginia as it cuts jobs. So

1372
01:08:29,840 --> 01:08:33,000
Speaker 1: after all that sham contests the press around the sham

1373
01:08:33,040 --> 01:08:36,360
Speaker 1: contests the build up expectation locally, they are all but

1374
01:08:36,479 --> 01:08:40,519
Speaker 1: pulling the plug, halting construction on the largest portion of

1375
01:08:40,560 --> 01:08:43,599
Speaker 1: this project. Now We've been covering the post pandemic tech

1376
01:08:43,600 --> 01:08:45,320
Speaker 1: sessions here, so you probably know that, like a lot

1377
01:08:45,320 --> 01:08:49,000
Speaker 1: of other tech companies, Amazon ratically overestimated their staffing needs

1378
01:08:49,040 --> 01:08:52,720
Speaker 1: for post pandemic realities. They recently announced layoffs, impacting some

1379
01:08:52,800 --> 01:08:56,000
Speaker 1: eighteen thousand workers, and the entire world of corporate office

1380
01:08:56,000 --> 01:08:58,559
Speaker 1: space has been turned upside down by remote and hybrid work.

1381
01:08:58,760 --> 01:09:01,200
Speaker 1: The whole concept of an eight two to anchor a

1382
01:09:01,200 --> 01:09:03,360
Speaker 1: company in a new city has kind of been rendered

1383
01:09:03,400 --> 01:09:06,400
Speaker 1: obsolete by a pandemic that scattered white collar workers across

1384
01:09:06,439 --> 01:09:08,160
Speaker 1: the country in search of more affordable housing and a

1385
01:09:08,160 --> 01:09:11,559
Speaker 1: better quality of life for a region that insede an

1386
01:09:11,600 --> 01:09:15,680
Speaker 1: anticipatory boom. This was really a harsh blow, a renigging

1387
01:09:15,800 --> 01:09:19,080
Speaker 1: on the promises that were made, and also at great expense.

1388
01:09:19,439 --> 01:09:22,000
Speaker 1: Of course, Amazon stock surged on the news that they

1389
01:09:22,000 --> 01:09:24,639
Speaker 1: were pulling the plug. As always its heads, Amazon wins

1390
01:09:24,680 --> 01:09:28,000
Speaker 1: and tails, everyone loses. Now you might be tempted to think, well,

1391
01:09:28,000 --> 01:09:30,400
Speaker 1: the pandemic did change everything. Who could have known, what

1392
01:09:30,560 --> 01:09:33,040
Speaker 1: choice do they have, etc. But I will remind you

1393
01:09:33,280 --> 01:09:35,639
Speaker 1: this is far from the first time when politicians gave

1394
01:09:35,680 --> 01:09:39,120
Speaker 1: way the store to huge corporations got big promises and

1395
01:09:39,240 --> 01:09:42,240
Speaker 1: ended up with nothing but big disappointment. There was the

1396
01:09:42,320 --> 01:09:45,719
Speaker 1: fox Con debacle in Wisconsin, where the company promised thirteen

1397
01:09:45,760 --> 01:09:49,520
Speaker 1: thousand jobs in exchange for three billion dollars in incentives.

1398
01:09:49,640 --> 01:09:52,680
Speaker 1: President Trump called it the eighth Wonder of the World. Instead,

1399
01:09:52,960 --> 01:09:56,240
Speaker 1: the most optimistic estimates say now that the long stalled

1400
01:09:56,240 --> 01:10:00,640
Speaker 1: project might create fifteen hundred jobs and in destroyed the

1401
01:10:00,640 --> 01:10:03,080
Speaker 1: credit of the surrounding region, which invested a billion dollars

1402
01:10:03,120 --> 01:10:06,639
Speaker 1: in infrastructure for this insulting outcome. Amid a lot of hype,

1403
01:10:06,800 --> 01:10:09,280
Speaker 1: Lordstown Motors got a deal on a shutter GM plant

1404
01:10:09,320 --> 01:10:12,519
Speaker 1: in Ohio to build electric trucks. Well, they overstated their

1405
01:10:12,640 --> 01:10:15,559
Speaker 1: orders and the first prototype that they put out caught

1406
01:10:15,640 --> 01:10:17,840
Speaker 1: fire when they actually took it out for a spin.

1407
01:10:18,280 --> 01:10:21,000
Speaker 1: Now you're ready for this one. Fox Con is said

1408
01:10:21,040 --> 01:10:23,160
Speaker 1: to buy the factory, So good luck with that one, guys.

1409
01:10:23,560 --> 01:10:26,719
Speaker 1: A new Panasonic battery plant in Kansas promised in exchange

1410
01:10:26,720 --> 01:10:28,960
Speaker 1: for eight hundred and twenty nine million dollars in incentives.

1411
01:10:28,960 --> 01:10:31,080
Speaker 1: That sounds pretty good on its face, but the deal

1412
01:10:31,120 --> 01:10:35,840
Speaker 1: required no commitments on jobs and no commitments on pay

1413
01:10:36,240 --> 01:10:39,160
Speaker 1: pretty glaring emission, leaving Kansons on the hook for a

1414
01:10:39,200 --> 01:10:42,880
Speaker 1: big paym regardless of whether the company ever actually delivers

1415
01:10:42,920 --> 01:10:47,080
Speaker 1: on a single solitary job. So what should we take

1416
01:10:47,120 --> 01:10:49,679
Speaker 1: from all of this? Listen, I actually have no problem

1417
01:10:49,760 --> 01:10:53,080
Speaker 1: with a national strategy of industrial policy. It uses incentives

1418
01:10:53,080 --> 01:10:56,439
Speaker 1: to drive investment in key areas like microchips or evy batteries,

1419
01:10:56,640 --> 01:11:00,479
Speaker 1: or to pursue other goals in our national interest, which

1420
01:11:00,520 --> 01:11:03,920
Speaker 1: may include creation of good paying union jobs. But this

1421
01:11:04,040 --> 01:11:07,759
Speaker 1: state versus state, city versus city competition to give away

1422
01:11:07,800 --> 01:11:10,960
Speaker 1: the sweetest deals to the biggest companies. This is a

1423
01:11:11,040 --> 01:11:15,240
Speaker 1: loser's game for everyone but the giant multinationals, who routinely

1424
01:11:15,320 --> 01:11:17,840
Speaker 1: break all of their promises and laugh all the way

1425
01:11:17,880 --> 01:11:21,160
Speaker 1: to the bank. The Onion with typical trench and satire

1426
01:11:21,320 --> 01:11:24,960
Speaker 1: wrote this a while back about the Amazon HQ two contest. Quote.

1427
01:11:25,200 --> 01:11:28,720
Speaker 1: You are all inside Amazon's second headquarters, Jeff Bezos announces

1428
01:11:28,720 --> 01:11:32,639
Speaker 1: to horrified Americans as massive dome envelops nation. We're proud

1429
01:11:32,680 --> 01:11:34,960
Speaker 1: to welcome all three hundred and twenty five million new

1430
01:11:34,960 --> 01:11:38,559
Speaker 1: employees to the Amazon team, said Bezos. Now please begin working,

1431
01:11:38,760 --> 01:11:41,200
Speaker 1: all of you, Bezos added, as a dark cloud of

1432
01:11:41,200 --> 01:11:44,599
Speaker 1: buzzing drones appeared on the horizon, pausing uniforms, orientation packets,

1433
01:11:44,640 --> 01:11:46,599
Speaker 1: and a pile of boxes to sort on the doorstep

1434
01:11:46,680 --> 01:11:49,960
Speaker 1: of every American home. This race to the bottom mode

1435
01:11:50,000 --> 01:11:53,519
Speaker 1: of desperately begging for jobs shows just how backwards our

1436
01:11:53,560 --> 01:11:56,920
Speaker 1: country has become, where we all expected to scramble to

1437
01:11:56,960 --> 01:11:59,920
Speaker 1: serve the interests of corporate overlords rather than organizing the

1438
01:12:00,200 --> 01:12:03,240
Speaker 1: economy to serve the interests of the people. Our politicians

1439
01:12:03,280 --> 01:12:06,360
Speaker 1: have allowed Amazon to treat us in our communities as

1440
01:12:06,479 --> 01:12:09,320
Speaker 1: playthings to pick up and throw away as it serves

1441
01:12:09,320 --> 01:12:13,479
Speaker 1: them ASQ two is just the latest scamp. Sager and

1442
01:12:13,560 --> 01:12:15,559
Speaker 1: I have a personal stake in this one. And if

1443
01:12:15,600 --> 01:12:18,320
Speaker 1: you want to hear my reaction to Crystal's monologue, become

1444
01:12:18,360 --> 01:12:24,880
Speaker 1: a premium subscriber today at Breakingpoints dot com. All right, Sager,

1445
01:12:24,920 --> 01:12:27,000
Speaker 1: we are looking at it well. The recent release of

1446
01:12:27,080 --> 01:12:30,800
Speaker 1: CDC study on Youth Risk Behavior Survey of American teenagers.

1447
01:12:30,840 --> 01:12:35,040
Speaker 1: It's ignited a firestorm in our political discourse. Teengirl depression

1448
01:12:35,160 --> 01:12:38,560
Speaker 1: is going up. No way, all youth depression is skyrocketing?

1449
01:12:38,720 --> 01:12:41,720
Speaker 1: Well is it? The smartphones is a general social paranoia.

1450
01:12:41,920 --> 01:12:43,760
Speaker 1: You can basically pick your poison when it comes to

1451
01:12:43,800 --> 01:12:46,200
Speaker 1: these takes. It won't surprise you what angle of mainstream

1452
01:12:46,240 --> 01:12:48,240
Speaker 1: media has gone with You would think that the only

1453
01:12:48,280 --> 01:12:51,080
Speaker 1: story in ed of these data is that teengirl depression

1454
01:12:51,120 --> 01:12:53,680
Speaker 1: has gone up. In fact, I could not find a

1455
01:12:53,840 --> 01:12:57,479
Speaker 1: single mainstream outlet that didn't lead with the CDC framing

1456
01:12:57,800 --> 01:13:01,800
Speaker 1: exclusively about teen girls. Interesting writers, though, have dug into

1457
01:13:02,040 --> 01:13:04,599
Speaker 1: not only the teen girl data, all of the data,

1458
01:13:04,680 --> 01:13:07,760
Speaker 1: and then come away with better conclusions that are more nuanced.

1459
01:13:07,800 --> 01:13:09,840
Speaker 1: So let's focus on the major takeaways that most of

1460
01:13:09,840 --> 01:13:12,360
Speaker 1: the media is ignoring right now. But it's very glaringly

1461
01:13:12,400 --> 01:13:16,280
Speaker 1: obvious the ubiquity of smartphones amongst all teenagers and its

1462
01:13:16,280 --> 01:13:19,840
Speaker 1: solid entrenchment into their everyday lives. Blogger Noah Smith notes

1463
01:13:19,840 --> 01:13:23,080
Speaker 1: that teen girls, suicide, anxiety, self poisoning, and major depressive

1464
01:13:23,080 --> 01:13:26,400
Speaker 1: episodes all began to skyrocket in twenty eleven, and they

1465
01:13:26,479 --> 01:13:30,880
Speaker 1: hit escape velocity in twenty thirteen. What changed? As NOA notes.

1466
01:13:30,880 --> 01:13:32,599
Speaker 1: While those who don't want to blame the smart form

1467
01:13:32,640 --> 01:13:34,720
Speaker 1: often point out it came out in two thousand and seven,

1468
01:13:34,760 --> 01:13:37,040
Speaker 1: why did it take so long? But the actual mass

1469
01:13:37,080 --> 01:13:40,639
Speaker 1: adoption of smartphones amongst teenagers happened in wait for it,

1470
01:13:40,800 --> 01:13:44,080
Speaker 1: twenty eleven, Basically the exact same mirar that these symptoms

1471
01:13:44,080 --> 01:13:46,360
Speaker 1: began to take off. Now we have had over a

1472
01:13:46,400 --> 01:13:49,439
Speaker 1: decade with the smartphone, and it's basically inseparable from teenage life.

1473
01:13:49,439 --> 01:13:51,559
Speaker 1: At this point, we have all kinds of crazy data

1474
01:13:51,600 --> 01:13:53,880
Speaker 1: to back this up and what it's actually done. Face

1475
01:13:53,920 --> 01:13:57,040
Speaker 1: to face interaction between teenagers has plummeted all starting in

1476
01:13:57,080 --> 01:14:00,160
Speaker 1: twenty ten, right around the mass adoption of the smartphone.

1477
01:14:00,240 --> 01:14:03,080
Speaker 1: It continues to hit record lows with teenagers but boys

1478
01:14:03,080 --> 01:14:06,519
Speaker 1: and girls reporting fewer friends than ever before. Social isolation

1479
01:14:06,600 --> 01:14:10,759
Speaker 1: with mimicked communication online is no substitute now for actual friendships,

1480
01:14:10,800 --> 01:14:13,160
Speaker 1: as we all found out the hard way during the pandemic.

1481
01:14:13,439 --> 01:14:17,720
Speaker 1: Another illuminating chart from researcher Gene Twinch is even more clearcut.

1482
01:14:17,920 --> 01:14:22,120
Speaker 1: Adolescence with depression of low well being report many more

1483
01:14:22,240 --> 01:14:26,040
Speaker 1: hours on their smartphones, with the most depressed reporting some

1484
01:14:26,240 --> 01:14:29,360
Speaker 1: five to six hours a day of screen time. Now,

1485
01:14:29,479 --> 01:14:32,639
Speaker 1: is it the cause? Maybe? Maybe not? What's the good indication?

1486
01:14:32,880 --> 01:14:35,640
Speaker 1: Our friend Richard Hannania also did a systematic review of

1487
01:14:35,680 --> 01:14:37,920
Speaker 1: all of the data, not only from the US, but

1488
01:14:37,960 --> 01:14:41,640
Speaker 1: from around the world, and he came away with this quote. Overall,

1489
01:14:41,800 --> 01:14:45,120
Speaker 1: we find strong evidence of declines and teenage mental health

1490
01:14:45,160 --> 01:14:48,040
Speaker 1: over the last decade or so, based on government data

1491
01:14:48,080 --> 01:14:55,759
Speaker 1: with large sample sizes not only in the US, but Australia, Canada, France, Ireland, Sweden, Norway,

1492
01:14:55,920 --> 01:14:59,439
Speaker 1: and the UK. He adds, quote overall, this makes an

1493
01:14:59,479 --> 01:15:03,120
Speaker 1: extreme strong case that the problem goes way beyond the

1494
01:15:03,200 --> 01:15:07,320
Speaker 1: United States or even English speaking countries. But if you

1495
01:15:07,360 --> 01:15:10,040
Speaker 1: look a little closer, as Richard points out, there are

1496
01:15:10,160 --> 01:15:14,280
Speaker 1: very interesting anomalies to consider. In Hungary, the Netherlands, and

1497
01:15:14,320 --> 01:15:16,960
Speaker 1: South Korea, we don't see the corresponding rise in teenage

1498
01:15:16,960 --> 01:15:19,479
Speaker 1: mental health issues. Richard knows that these countries may not

1499
01:15:19,520 --> 01:15:22,080
Speaker 1: be as culturally similar to the United States. Thus they

1500
01:15:22,080 --> 01:15:24,320
Speaker 1: may have something within them to resist the same poll

1501
01:15:24,479 --> 01:15:27,120
Speaker 1: that has brought nearly every other developed country down. But

1502
01:15:27,240 --> 01:15:29,880
Speaker 1: there's another take here, which is also important. Is it

1503
01:15:29,920 --> 01:15:32,400
Speaker 1: really the phones or are we just freaking out because

1504
01:15:32,400 --> 01:15:35,880
Speaker 1: they're new? As venture capitalists Mark Andresen observed, quote, we

1505
01:15:35,960 --> 01:15:38,759
Speaker 1: did not live in a calm, placid, rational, happy world

1506
01:15:38,760 --> 01:15:42,320
Speaker 1: before smartphones. People have been bananas forever. On most metrics,

1507
01:15:42,400 --> 01:15:44,719
Speaker 1: people were more bananas in the past than they are now.

1508
01:15:44,880 --> 01:15:48,320
Speaker 1: If anything, technology may be calming people down instead. He

1509
01:15:48,439 --> 01:15:50,960
Speaker 1: pauses the simplest explanation for whatever the hell that we're

1510
01:15:51,000 --> 01:15:54,160
Speaker 1: going through is some kind of secularized great Awakening where

1511
01:15:54,200 --> 01:15:58,160
Speaker 1: transformation societal change is taking place. It's not unprecedented at

1512
01:15:58,200 --> 01:16:00,599
Speaker 1: all in Western history. The last great way in US

1513
01:16:00,640 --> 01:16:03,080
Speaker 1: history was only fifty years ago, the rise of militant

1514
01:16:03,160 --> 01:16:07,400
Speaker 1: evangelical Christianity, the decline of mainline Protestantism, the modern pro

1515
01:16:07,439 --> 01:16:09,920
Speaker 1: life movement, much of a political orientation of the American

1516
01:16:09,920 --> 01:16:12,880
Speaker 1: South is traced right back to that. But how does

1517
01:16:12,880 --> 01:16:17,920
Speaker 1: this compare. A possible explanation is that social trends like smartphones, atomization,

1518
01:16:18,240 --> 01:16:22,360
Speaker 1: combined with what can be best described as empty woke catastrophizing,

1519
01:16:22,680 --> 01:16:25,840
Speaker 1: is leading to its own great awakening, awokening as we've

1520
01:16:25,840 --> 01:16:28,880
Speaker 1: referred to it in the past. Writer Matthew Gleasy's actually

1521
01:16:28,920 --> 01:16:30,720
Speaker 1: dug into some of that data and he found something

1522
01:16:30,720 --> 01:16:34,200
Speaker 1: that's actually astonishing. Focusing on teen girls completely misses the point.

1523
01:16:34,360 --> 01:16:36,439
Speaker 1: When you look at the comprehensive studies that control for

1524
01:16:36,520 --> 01:16:39,280
Speaker 1: gender and for political ideology, you get a different view.

1525
01:16:39,520 --> 01:16:43,200
Speaker 1: It's young liberals who are actually especially depressed, with liberal

1526
01:16:43,240 --> 01:16:47,519
Speaker 1: teen boys outpacing conservative teen girls in depression. So let's

1527
01:16:47,520 --> 01:16:51,720
Speaker 1: discuss why one theory came from Jill Philipovich, who Iglesias

1528
01:16:51,800 --> 01:16:55,440
Speaker 1: highlights writing, quote, I am increasingly convinced there are tremendously

1529
01:16:55,479 --> 01:16:58,840
Speaker 1: negative long term consequences, especially to young people, coming from

1530
01:16:58,840 --> 01:17:01,880
Speaker 1: this reliance on the language harm and accusations that things

1531
01:17:01,960 --> 01:17:05,240
Speaker 1: one finds offensive are quote deeply problematic or if they

1532
01:17:05,320 --> 01:17:09,280
Speaker 1: even violent. She continues, quote, just about everything that researchers

1533
01:17:09,400 --> 01:17:12,679
Speaker 1: understand about resilience and mental well being suggests that people

1534
01:17:12,680 --> 01:17:14,840
Speaker 1: who feel like they are the chief architects of their

1535
01:17:14,880 --> 01:17:17,759
Speaker 1: own life are vastly better off than people whose default

1536
01:17:17,760 --> 01:17:20,720
Speaker 1: position is victimization, hurt, and the sense that the life

1537
01:17:20,760 --> 01:17:23,519
Speaker 1: simply happens to them and they have no control over

1538
01:17:23,560 --> 01:17:27,120
Speaker 1: their response. So it could be that victimization and politics

1539
01:17:27,200 --> 01:17:30,559
Speaker 1: itself is to blame, smartphones aren't at all, or maybe

1540
01:17:30,560 --> 01:17:32,880
Speaker 1: it's both. Who really knows. What I do know is

1541
01:17:32,920 --> 01:17:35,320
Speaker 1: we have a big problem. As to the solution, it's

1542
01:17:35,320 --> 01:17:37,599
Speaker 1: anyone's guests, and the best thing is to look at

1543
01:17:37,600 --> 01:17:40,400
Speaker 1: the problem from all angles as they're attempted here, instead

1544
01:17:40,439 --> 01:17:43,000
Speaker 1: of a myopic explanation, so that we can eventually try

1545
01:17:43,080 --> 01:17:45,360
Speaker 1: to do something about it. And in the meantime, you've

1546
01:17:45,360 --> 01:17:47,320
Speaker 1: got to take care of each other because it seems

1547
01:17:47,360 --> 01:17:49,120
Speaker 1: to be something that we are doing less and less

1548
01:17:49,120 --> 01:17:51,559
Speaker 1: of as a society. So I thought it was really interesting,

1549
01:17:51,640 --> 01:17:53,760
Speaker 1: you know, something they have focused here and if you

1550
01:17:53,760 --> 01:17:56,559
Speaker 1: want to hear my reaction to Cyber's monologue, become a

1551
01:17:56,600 --> 01:18:02,960
Speaker 1: premium subscriber today at Breakingpoints dot com. A lot of

1552
01:18:02,960 --> 01:18:05,960
Speaker 1: discussion here on Breaking Points about the balloon, about UFOs,

1553
01:18:06,000 --> 01:18:08,559
Speaker 1: and we've been trying to talk to the actual experts here.

1554
01:18:08,600 --> 01:18:12,679
Speaker 1: One of them is the former lieutenant in the US Navy,

1555
01:18:12,800 --> 01:18:15,759
Speaker 1: Ryan Grave, So let's put this up there on the screen.

1556
01:18:16,120 --> 01:18:18,880
Speaker 1: He writes, in political quote, we have a real UFO

1557
01:18:19,000 --> 01:18:21,760
Speaker 1: problem and it's not balloons. And Ryan recounts some of

1558
01:18:21,800 --> 01:18:26,760
Speaker 1: his own interactions with anomalousts, aircraft or objects, whatever you

1559
01:18:26,800 --> 01:18:28,960
Speaker 1: want to call them, that we're up in the air.

1560
01:18:29,000 --> 01:18:31,840
Speaker 1: And he's been trying to draw attention to this increasingly

1561
01:18:31,920 --> 01:18:34,400
Speaker 1: on his own podcast and in the public. So we're

1562
01:18:34,520 --> 01:18:36,320
Speaker 1: very happy to have you on the show, sir, Thank

1563
01:18:36,360 --> 01:18:38,840
Speaker 1: you very much for joining us. It's my pleasure, thanks

1564
01:18:38,880 --> 01:18:40,840
Speaker 1: for having me here. So, Ryan, what did you want

1565
01:18:40,840 --> 01:18:43,760
Speaker 1: to accomplish whenever you were writing this article, whenever you

1566
01:18:43,760 --> 01:18:46,240
Speaker 1: started your podcast trying to bring as much attention to

1567
01:18:46,600 --> 01:18:49,920
Speaker 1: the UAP phenomena. You've been one of the most outspoken

1568
01:18:50,120 --> 01:18:52,439
Speaker 1: former pilots who's actually interacted with some of these things.

1569
01:18:52,920 --> 01:18:54,640
Speaker 1: Why are you choosing to do so? Why do you

1570
01:18:54,640 --> 01:18:58,479
Speaker 1: want to be in the public eye. Oh well, I'll

1571
01:18:58,520 --> 01:19:00,320
Speaker 1: push back and say I don't necessarily want to. But

1572
01:19:00,760 --> 01:19:02,879
Speaker 1: this was an issue that just wasn't getting the attention

1573
01:19:03,000 --> 01:19:06,640
Speaker 1: that it deserved. When I saw the twenty seventeen New

1574
01:19:06,720 --> 01:19:11,640
Speaker 1: York Times article come out with the videos of various UAPs,

1575
01:19:12,400 --> 01:19:14,640
Speaker 1: I recognize those videos. I recognize them. I heard the

1576
01:19:14,720 --> 01:19:16,080
Speaker 1: voices on them, and I was like, hey, I was

1577
01:19:16,120 --> 01:19:19,080
Speaker 1: there for those I also realized at that point that

1578
01:19:19,160 --> 01:19:21,120
Speaker 1: this was an issue that was still ongoing. I didn't

1579
01:19:21,120 --> 01:19:23,280
Speaker 1: reached back to my squadron mates who are still flying

1580
01:19:23,320 --> 01:19:25,200
Speaker 1: on the East Coast and this was still an everyday

1581
01:19:25,400 --> 01:19:28,639
Speaker 1: aviation safety hazard for them, And I realized the proper

1582
01:19:28,680 --> 01:19:31,519
Speaker 1: mechanisms weren't being but in place to resolve this issue.

1583
01:19:31,520 --> 01:19:33,040
Speaker 1: It was just a matter of time until there was

1584
01:19:33,080 --> 01:19:37,080
Speaker 1: a midair ran. Can just for people who aren't familiar

1585
01:19:37,439 --> 01:19:40,160
Speaker 1: with you and the videos that you're referring to, can

1586
01:19:40,160 --> 01:19:43,880
Speaker 1: you just explain what you experienced and what you saw, yeah,

1587
01:19:43,880 --> 01:19:47,040
Speaker 1: I'd be happy to. So I was an F eighteen

1588
01:19:47,160 --> 01:19:51,519
Speaker 1: Fox Trot super Hornet pilot, which means I was attached

1589
01:19:51,560 --> 01:19:53,920
Speaker 1: to the East coast of the United States, and I

1590
01:19:53,960 --> 01:19:56,519
Speaker 1: would operate off the Eastern seaboard for a number of

1591
01:19:56,560 --> 01:20:02,080
Speaker 1: years in basically a training environment, not really a comma environment. However,

1592
01:20:02,120 --> 01:20:04,840
Speaker 1: while we were there, we started noticing objects when we

1593
01:20:04,920 --> 01:20:08,160
Speaker 1: upgraded our radars that weren't there, you know, just even

1594
01:20:08,240 --> 01:20:11,320
Speaker 1: on the previous flight with the older radar. And so

1595
01:20:11,479 --> 01:20:14,160
Speaker 1: eventually we started flying close enough to these objects for

1596
01:20:14,200 --> 01:20:17,200
Speaker 1: them to be picked up on our optical for looking

1597
01:20:17,200 --> 01:20:22,280
Speaker 1: infrared camera system, and we started to gain visuals within

1598
01:20:22,360 --> 01:20:25,479
Speaker 1: the jet itself on those systems of those videos that

1599
01:20:25,520 --> 01:20:28,280
Speaker 1: you see such as the Kimbal video and Go Fast.

1600
01:20:29,320 --> 01:20:32,400
Speaker 1: Eventually we saw these objects with our own eyeballs, and

1601
01:20:32,479 --> 01:20:34,599
Speaker 1: at that time we didn't have an explanation for what

1602
01:20:34,640 --> 01:20:37,559
Speaker 1: they were. They just simply looked like a black cube

1603
01:20:37,560 --> 01:20:42,280
Speaker 1: inside of a clear sphere. These objects would be up

1604
01:20:42,280 --> 01:20:45,120
Speaker 1: there all day. They would be either maneuvering around point

1605
01:20:45,200 --> 01:20:47,439
Speaker 1: six to point eight moc, which is around at the

1606
01:20:47,520 --> 01:20:50,800
Speaker 1: high end three hundred and fifty knots, or they would

1607
01:20:50,800 --> 01:20:54,120
Speaker 1: be completely stationary against the whim. When you're up there,

1608
01:20:54,120 --> 01:20:56,040
Speaker 1: it's like being in the ocean. Everything is moving. So

1609
01:20:56,080 --> 01:20:59,080
Speaker 1: when you have objects that are stationary against high winds

1610
01:20:59,160 --> 01:21:01,839
Speaker 1: for very long periods of time and then begin maneuvering,

1611
01:21:02,320 --> 01:21:05,439
Speaker 1: it's just something that we're not used to seeing, right,

1612
01:21:05,520 --> 01:21:07,920
Speaker 1: And we were almost hitting these objects. We had them

1613
01:21:07,960 --> 01:21:10,840
Speaker 1: flying very close to our aircraft that we're requiring a

1614
01:21:10,840 --> 01:21:14,280
Speaker 1: basi of maneuvering. Wow. Yeah, I mean, this is your testimony,

1615
01:21:14,800 --> 01:21:17,599
Speaker 1: you know, before Congress and just publicly has been so

1616
01:21:17,640 --> 01:21:21,000
Speaker 1: important for highlighting how frequent of an interaction that this is.

1617
01:21:21,120 --> 01:21:23,280
Speaker 1: And it's almost more stunning that we, like you said,

1618
01:21:23,320 --> 01:21:25,160
Speaker 1: we haven't had an accent or that we haven't had

1619
01:21:25,160 --> 01:21:27,320
Speaker 1: more pilots come forward. One of the things that you

1620
01:21:27,360 --> 01:21:30,360
Speaker 1: write about, Ryan in the Politico article is that the

1621
01:21:30,400 --> 01:21:34,519
Speaker 1: President did not talk about UAPs that exhibit advanced performance

1622
01:21:34,720 --> 01:21:37,759
Speaker 1: capability set. You say, where is the transparency and urgency

1623
01:21:37,760 --> 01:21:41,280
Speaker 1: from the administration in Congress to investigate highly advanced objects

1624
01:21:41,320 --> 01:21:44,559
Speaker 1: and restricted airspace that our military cannot explain? And you

1625
01:21:44,560 --> 01:21:47,439
Speaker 1: talk about a new organization that you are starting and

1626
01:21:47,439 --> 01:21:50,599
Speaker 1: an initiative to try and gather as much data as possible.

1627
01:21:50,640 --> 01:21:53,440
Speaker 1: You want to talk a little bit about that absolutely,

1628
01:21:54,080 --> 01:21:56,639
Speaker 1: and so that's a natural progression of the work that's

1629
01:21:56,680 --> 01:22:00,280
Speaker 1: been going on trying to bring attention to this seeing

1630
01:22:00,320 --> 01:22:03,360
Speaker 1: that one of the main movers of attention on this

1631
01:22:03,479 --> 01:22:06,479
Speaker 1: topic is on Capitol Hill with the centers and congress

1632
01:22:06,479 --> 01:22:09,840
Speaker 1: people that have been mandating action from the Department of

1633
01:22:09,880 --> 01:22:16,600
Speaker 1: Defense to investigate this topic, and within the aviation ecosystem,

1634
01:22:16,600 --> 01:22:18,439
Speaker 1: I'll say with the United States, it really does take

1635
01:22:18,760 --> 01:22:21,839
Speaker 1: an Act of Congress to move anything. So I founded

1636
01:22:21,840 --> 01:22:25,520
Speaker 1: the Americans for Safe Aerospace, which is a very simple organization.

1637
01:22:25,640 --> 01:22:27,920
Speaker 1: We think that we should know what's above our heads,

1638
01:22:28,720 --> 01:22:31,320
Speaker 1: and those are going to likely fall into two different categories.

1639
01:22:31,320 --> 01:22:33,320
Speaker 1: They're either going to end up being some type of

1640
01:22:33,400 --> 01:22:36,320
Speaker 1: adversarial threat platform and it's a national security issue. We

1641
01:22:37,760 --> 01:22:41,040
Speaker 1: have the systems to prosecute those targets, or if we

1642
01:22:41,080 --> 01:22:43,920
Speaker 1: don't know what they are, it's a matter for scientific curiosity.

1643
01:22:44,360 --> 01:22:46,719
Speaker 1: And I bet when we start narrowing down that bucket

1644
01:22:46,720 --> 01:22:49,920
Speaker 1: of anomalous objects, more security threats could fall out. But

1645
01:22:49,960 --> 01:22:52,280
Speaker 1: we'll continue to make that bucket smaller to try to

1646
01:22:52,280 --> 01:22:55,480
Speaker 1: figure out what these objects are. American for Safe Aerospace

1647
01:22:55,560 --> 01:22:57,960
Speaker 1: is going to be looking to push policy and legislative

1648
01:22:57,960 --> 01:23:02,440
Speaker 1: action to ensure that air and pilots, both military and commercial.

1649
01:23:02,920 --> 01:23:05,000
Speaker 1: I feel comfortable of reporting this so that we can

1650
01:23:05,040 --> 01:23:08,240
Speaker 1: continue to expand the conversation and ran, what did you

1651
01:23:08,320 --> 01:23:11,960
Speaker 1: make of these recent objects that were shot down? Obviously

1652
01:23:11,960 --> 01:23:14,920
Speaker 1: one of them was a Chinese spy balloon, don't really

1653
01:23:14,960 --> 01:23:18,559
Speaker 1: know what the other ones were. Maybe potentially one of

1654
01:23:18,560 --> 01:23:21,599
Speaker 1: them was just like a hobbyists balloon. No debris has

1655
01:23:21,640 --> 01:23:24,799
Speaker 1: been recovered, and they seem to have abandoned any attempts

1656
01:23:24,800 --> 01:23:28,000
Speaker 1: to recover whatever debris there was from these shootdowns. What

1657
01:23:28,040 --> 01:23:30,320
Speaker 1: did you make of all of that? Yeah, you know,

1658
01:23:30,360 --> 01:23:33,920
Speaker 1: it's a very confusing series of events, which is what

1659
01:23:34,040 --> 01:23:36,560
Speaker 1: led to me writing that political article. Back to the

1660
01:23:36,600 --> 01:23:39,960
Speaker 1: first question, there just seems to be a very confusing

1661
01:23:40,040 --> 01:23:43,479
Speaker 1: narrative around these objects. First, you know, if we think

1662
01:23:43,520 --> 01:23:46,720
Speaker 1: of how this proceeded, there was a visual confirmation of

1663
01:23:47,400 --> 01:23:51,400
Speaker 1: an object of a balloon that it appeared by civilians

1664
01:23:51,439 --> 01:23:54,240
Speaker 1: in the United States. That kind of ramped things up,

1665
01:23:55,720 --> 01:23:57,599
Speaker 1: and this is public knowledge. Now we seem to have

1666
01:23:57,680 --> 01:23:59,639
Speaker 1: slowed down the speak gates on some of our censors,

1667
01:23:59,680 --> 01:24:01,800
Speaker 1: at least brought to attention based off of the siting

1668
01:24:01,800 --> 01:24:04,479
Speaker 1: of that balloon, what other slower speed objects could be

1669
01:24:04,520 --> 01:24:08,760
Speaker 1: in our airspace. However, the communication was very clear that

1670
01:24:09,000 --> 01:24:12,360
Speaker 1: the first quote unquote Chinese by balloon was a Chinese

1671
01:24:12,360 --> 01:24:16,040
Speaker 1: by balloon, and the other three objects are still unidentified

1672
01:24:16,520 --> 01:24:20,200
Speaker 1: objects at this point. What was communicated was that they

1673
01:24:20,240 --> 01:24:22,439
Speaker 1: appeared to be more or less drifting in the wind,

1674
01:24:23,120 --> 01:24:25,160
Speaker 1: which is not consistent with what we were seeing off

1675
01:24:25,200 --> 01:24:29,200
Speaker 1: of the Eastern seaboard. But I think whatever the object

1676
01:24:29,320 --> 01:24:31,240
Speaker 1: end up being, I think it just goes to prove

1677
01:24:31,280 --> 01:24:33,040
Speaker 1: the point that there are objects up there that were

1678
01:24:33,040 --> 01:24:34,559
Speaker 1: not aware of. Some of them are going to fall

1679
01:24:34,600 --> 01:24:38,439
Speaker 1: out and be adversarial programs, some of them might be

1680
01:24:38,479 --> 01:24:42,400
Speaker 1: completely prosaic, and there are another category of them that

1681
01:24:42,600 --> 01:24:45,000
Speaker 1: we can't necessarily call prosaic due to the behaviors that

1682
01:24:45,000 --> 01:24:48,000
Speaker 1: they're exhibiting. And I wrote that article to ensure that

1683
01:24:48,000 --> 01:24:51,160
Speaker 1: that wasn't lost in the fray, so that we didn't

1684
01:24:51,160 --> 01:24:54,160
Speaker 1: start assuming that everything unidentified in our airspace ends up

1685
01:24:54,200 --> 01:24:56,920
Speaker 1: being a balloon. But to that point, for those hard

1686
01:24:56,960 --> 01:24:59,960
Speaker 1: skeptics that like to say, well, they're probably just balloons,

1687
01:25:00,360 --> 01:25:03,040
Speaker 1: I think now the American people see that that's actually

1688
01:25:03,040 --> 01:25:05,719
Speaker 1: a pretty serious issue as well. Both from National security

1689
01:25:05,720 --> 01:25:09,040
Speaker 1: and for aviation safety, and you know it goes all

1690
01:25:09,040 --> 01:25:11,080
Speaker 1: the way to the top. So we just can't be

1691
01:25:11,200 --> 01:25:13,560
Speaker 1: complacent with what's above our heads. And the ASA is

1692
01:25:13,600 --> 01:25:16,599
Speaker 1: going to push for action to ensure that's the case good.

1693
01:25:16,680 --> 01:25:18,080
Speaker 1: And one thing I want to get with you, Ryan,

1694
01:25:18,320 --> 01:25:20,320
Speaker 1: I hear this from the critics all the time, which

1695
01:25:20,360 --> 01:25:22,439
Speaker 1: is is pilot error. These guys, you know, they have

1696
01:25:22,479 --> 01:25:24,400
Speaker 1: no idea what they're seeing up there. They're mistaking it

1697
01:25:24,479 --> 01:25:27,360
Speaker 1: for you know, reflection or something like that. Can you

1698
01:25:27,400 --> 01:25:29,400
Speaker 1: talk about you join the Navy in two thousand and nine,

1699
01:25:29,800 --> 01:25:33,720
Speaker 1: lay out for the audience how much training, familiarity with

1700
01:25:33,800 --> 01:25:38,000
Speaker 1: your equipment, familiator, familiarity with normal objects in the sky

1701
01:25:38,320 --> 01:25:41,439
Speaker 1: that you encounter, and your ability to determine what is

1702
01:25:41,479 --> 01:25:44,040
Speaker 1: anomalous and what is not while you are flying at

1703
01:25:44,040 --> 01:25:48,599
Speaker 1: aircraft you've probably flown for thousands and thousands of hours. Certainly,

1704
01:25:48,720 --> 01:25:51,200
Speaker 1: so these these aircraft, you know, I'll even not even

1705
01:25:51,200 --> 01:25:53,280
Speaker 1: refer to F eighteen and as an aircraft, it's a

1706
01:25:53,280 --> 01:25:57,000
Speaker 1: weapons system designed to do very particular mission sets. And

1707
01:25:57,040 --> 01:26:01,400
Speaker 1: those mission sets are really based around two objectives. One

1708
01:26:01,600 --> 01:26:03,920
Speaker 1: is to be able to identify what's out there and

1709
01:26:04,080 --> 01:26:06,240
Speaker 1: be able to tell who's friendly and who's not, and

1710
01:26:06,280 --> 01:26:09,120
Speaker 1: also to identify the ones that we're not certain about

1711
01:26:09,520 --> 01:26:12,080
Speaker 1: and work to identify whether they're friendly or not, and

1712
01:26:12,120 --> 01:26:15,600
Speaker 1: then to prosecute the targets that are not friendly. And

1713
01:26:15,680 --> 01:26:19,120
Speaker 1: we prosecute those targets that are not friendly primarily by

1714
01:26:19,520 --> 01:26:23,479
Speaker 1: flying close enough to be within weapons range and also

1715
01:26:23,600 --> 01:26:25,360
Speaker 1: far enough away that we're not too much in their

1716
01:26:25,400 --> 01:26:28,240
Speaker 1: weapons range. So controlling the distance off the nose of

1717
01:26:28,240 --> 01:26:32,120
Speaker 1: our aircraft and knowing who's who is essentially the primary

1718
01:26:32,160 --> 01:26:35,680
Speaker 1: responsibilities of our job. Everything else is mechanics to prosecute

1719
01:26:35,680 --> 01:26:39,840
Speaker 1: those targets. We call that correlation while we're flying up there.

1720
01:26:40,360 --> 01:26:42,920
Speaker 1: So the suggestion, you know, and so all our tools

1721
01:26:42,920 --> 01:26:45,000
Speaker 1: to go to your point. So our training is to

1722
01:26:45,080 --> 01:26:47,479
Speaker 1: learn how to use the incredible tools that we have

1723
01:26:47,560 --> 01:26:50,040
Speaker 1: in those in those weapons systems, and those weapons systems

1724
01:26:50,120 --> 01:26:55,839
Speaker 1: tools include radar, electro optical cameras, other electronic warfare systems,

1725
01:26:55,880 --> 01:27:01,320
Speaker 1: and electrical tools for understanding electromatic netek spectrum around you.

1726
01:27:01,920 --> 01:27:03,760
Speaker 1: And we take that information and we share it, and

1727
01:27:04,400 --> 01:27:06,759
Speaker 1: that information gets pumped out and we get a combined

1728
01:27:06,800 --> 01:27:09,280
Speaker 1: image of what's in the area. And so when we

1729
01:27:09,360 --> 01:27:12,800
Speaker 1: say we see something out there, whether it be on

1730
01:27:12,840 --> 01:27:16,799
Speaker 1: our radar or our electroloptical systems or some other device,

1731
01:27:17,760 --> 01:27:22,240
Speaker 1: that information is being correlated across multiple sensors, and all

1732
01:27:22,280 --> 01:27:24,320
Speaker 1: that technology that we have and that we've trained to

1733
01:27:24,400 --> 01:27:26,840
Speaker 1: use is telling us that can't be identified. And not

1734
01:27:26,880 --> 01:27:29,800
Speaker 1: only can't be identified using the interesting mechanisms we have,

1735
01:27:29,920 --> 01:27:32,840
Speaker 1: but also it's not behaving in a way that we recognize. Yes,

1736
01:27:33,040 --> 01:27:34,920
Speaker 1: so all these things are telling us they're wrong, and

1737
01:27:35,000 --> 01:27:37,120
Speaker 1: yet these are the things we most highly trained to do,

1738
01:27:37,280 --> 01:27:39,320
Speaker 1: is to maintain the distance off our nose and to

1739
01:27:39,360 --> 01:27:42,679
Speaker 1: identify things, and those are unfortunately two of the largest

1740
01:27:42,720 --> 01:27:47,720
Speaker 1: arguments used to say we're incorrect. Very important. I'm sure

1741
01:27:47,720 --> 01:27:49,640
Speaker 1: if that answers your question or not, but oh, it

1742
01:27:49,680 --> 01:27:52,960
Speaker 1: answers it very very well. Ryan. Congratulations that started the

1743
01:27:53,000 --> 01:27:54,760
Speaker 1: new organization. We'll have a link down there to all

1744
01:27:54,800 --> 01:27:56,960
Speaker 1: the description to your new podcast as well so people

1745
01:27:57,200 --> 01:27:58,720
Speaker 1: can find out about it. And you're welcome back on

1746
01:27:58,760 --> 01:28:01,439
Speaker 1: the show anytime to the discuss a topic. Really appreciate

1747
01:28:01,439 --> 01:28:05,200
Speaker 1: you joining us, Ryan, absolutely, Thank you guys so much

1748
01:28:05,240 --> 01:28:08,000
Speaker 1: for watching. Really appreciated fund developments here. Thank you for

1749
01:28:08,040 --> 01:28:10,720
Speaker 1: everybody who's been helping us out with the premium subscriptions.

1750
01:28:10,720 --> 01:28:12,960
Speaker 1: They really help out as we plan the future. Some

1751
01:28:13,000 --> 01:28:15,040
Speaker 1: big stuff that's coming down the pipeline. I think that

1752
01:28:15,080 --> 01:28:17,720
Speaker 1: you guys will enjoy. Chrystal, I've been looking at mock ups.

1753
01:28:17,800 --> 01:28:19,600
Speaker 1: Can't say yet of what. Some of them are a

1754
01:28:19,640 --> 01:28:23,120
Speaker 1: little creepy. We'll just say that anyway. We'll reveal some

1755
01:28:23,200 --> 01:28:25,600
Speaker 1: of that at the time and the place. Thank you

1756
01:28:25,680 --> 01:28:27,360
Speaker 1: all so much for those whose supporters have got a

1757
01:28:27,360 --> 01:28:30,120
Speaker 1: great show for you tomorrow, Counterpoints on Wednesday, and then

1758
01:28:30,160 --> 01:28:31,960
Speaker 1: the show on Thursday. So we'll see you all later.

1759
01:28:32,080 --> 01:28:33,320
Speaker 1: Love you guys, See you tomorrow.